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189 Stories To Learn About Reading Books

Boy meets girl. Of course, she remains skeptical and everything, but oh shit is he cute. Also, he’s smart in a farmboy-sexy way — and a carpenter… with those hands. OMG — those hands. They go out a bunch. He kisses her in the backyard under a lemon tree. Eventually she tells him she used to be a boy, too. He’s really nice about it — nicer than almost anyone’s been ever before — but, in the end, it’s the end. They become friends, do things together, talk. They’re very close. She depends on him. His voice always soothes her. Months pass. Somehow both of them end up tumbling into cryptocurrency around the same time — April of 2017 — right when shit’s really popping off. But then, unexpectedly, at the first Ethereal Summit — an overly intense blockchain slash community slash money slash art slash tech thing — she breaks down inside and aches. She calls him to say they can’t interact anymore. Neither one needs any explanation that it’s because she’s still in love with him. More so than ever. Fuck. Every time is the same, she thinks, walking to the subway in Brooklyn. Every time but this time. This time, somehow, is different. She dissolves into a puddle of tears. She cries so hard, and for so long, that her brain feels like it’s spinning into the ground, and hurts. The crying goes on for days. She starts making plans. * I’ve struggled with being bi-polar — and with the depressive episodes in particular — for as long as I can remember. Suicide entered my thoughts and took up residence when I was a teenager, and I experienced my first — and, so far, thank God, only — hospitalization when I was 18. The medication made me fall over in the snow and I didn’t want to bother with getting my blood levels tested and all the rest. So I threw it out and white-knuckled myself through until I was afloat again. Darkness has made itself a companion ever since. You understand. I know you do. Many days, many months are better than others — yet the dips, over the years, grew deeper the longer I spent alone. The years, the years. So many revolutions around the sun — so many years. Man, more years have passed since those white knuckles than I ever expected to live. And I’m “only” 40 — probably older by the time you read this. I know life is precious. It’s just I lost sight of how much and have only begun to find out again. * You see, I’d never made plans before. I’d thought about it, sure, but that previous attempt — perhaps “accident that I kept encouraging to go awry until I ended up in the hospital” would be a better way to put it — was on a whim. Now was different. How can I make this one look inadvertent, so my mom won’t be devastated? How can I arrange my affairs to leave everything clean and clear for my brother and his wife and their girls? How will I make sure it works, and I die? How can I — for fucking once on this earth — do something right? And yet, I also wondered, was this all there would ever be? Was there really no other way? I mean, instead of giving up, what if I were to give it one more year? Just one year — and see what happens then. You know. I know you do. And so, suddenly, with the parting clouds, came a rainbow: If I did, if I gave myself this time to make sure that ending everything was truly the right decision, what would I want my life to look like? Who would I want to spend my final revolution with, where would I go, what would I want to do? Oh God. How could I possibly get myself through? * Desperation. I groped around in the pitch-dark anguish until a glimmer — was it an illusion? I didn’t care — appeared overhead. Or somewhere in the blackness. Whatever, whichever — a thread that might lead out shone: Each day, I would write down at least one thing I would have missed the day before if I had been dead. Just one thing. You identify. I know you do. Feel me? I’d tried everything else — the psychologists, therapists, drugs, the white-knuckling, spirituality, art, exercise, sex, diet, love, family, friends, modifying this or that, not modifying this or that, accepting what I could not change and changing the things I could, reading, traveling, meditating, sports, moving across the country, learning new languages, yoga, the many interests I enjoy, travel, staying in one place — absolutely — except this. everything So, why not. What the hell. “Take your broken heart, make it into art.” - Meryl Streep (quoting Carrie Fisher) Nine months later I find that I can no longer wait to share how profoundly this endeavor — born of necessity, a hail Mary’s grasp at one final straw — has transformed my life. Focusing in on what makes the world worth sticking around for — and learning to lay aside the rest — has changed the way I think, how I react (or don’t), and who I am. The process has resulted in a different human being — another mind — an unlocked soul. How can we ever imagine what will unfold? What would it have taken to dream how my thought patterns themselves would alter, how I would relearn what it means to live, how I would get to touch new dreams, how just being would become enough, how I’d uncover a remarkably simple discovery: the hope that you will read through some of these daily entries and comment with your own experiences — so that we can connect across the ether and see what happens next — all as we dance together in the stirrings of a technological revolution that just might improve society, possibly maybe even catalyze a revolution, if we play it right? You are with me. I know you are — I sense you. Table of Contents Chapter 1: May 2017 Chapter 2: June 2017 Chapter 3: July 2017 Chapter 4: August 2017 Chapter 5: September 2017 Chapter 6: October 2017 Chapter 7: November 2017 Chapter 8: December 2017 Chapter 9: January 2018 Chapter 10: February 2018 Chapter 11: March 2018 Chapter 12: April 2018 * Your support will enable me to distill this adventure into a little book. Will you make art slash life slash love with me? 1. Comment below or in response to future chapters. 2. Engage with me on . Twitter 3. Browse my writing or , or . here here my books 4. Cryptotip me: BTC: 35RjtnfNngDs9RQHFeRpwE2KCAoD5XNGqg ETH/ERC20/KIN: 0xfA25b56800417ACDF9811674e26Dc94D55119211 5. Share the love. Thanks so much for being a part of this. I love you. XO.

What I Would Have Missed

2024 promises to be a pivotal year for the crypto industry, with a series of significant events and trends poised to shape its future. From the highly anticipated Bitcoin halving to the rise of NFTs in gaming, the emergence of tokenized finance, and the growing adoption of crypto in Asia, this year is set to witness a surge of innovation and disruption. As I work with crypto and AI projects, each year, we compile a list of trends that we see on the market. And here’s a 2024 edition. This year is going to be a very interesting one! Also, you can check my . Top 10 AI Trends of 2024 And Now, Onto Key Trends to Watch in 2024: 1. Upcoming Bitcoin Halving Event: Preparing for the Next Chapter in Bitcoin's Journey The highly anticipated Bitcoin halving event is just around the corner, poised to shake up the market dynamics and redefine the future of this pioneering cryptocurrency. Scheduled for April 2024, this pre-programmed event will slice the block reward from 6.25 to 3.125 bitcoins, ushering in a new era of scarcity and potential price surges. With the exact date yet to be determined, the countdown begins as Bitcoin enthusiasts brace themselves for an event that promises to slow down inflation and reshape the market landscape. 2. NFTs in Gaming: Unleashing the Power of True Ownership and Digital Economies The gaming industry is undergoing a seismic shift as NFTs emerge as the game-changers of the decade. Games like Nifty Island, built on Ethereum's robust network, are paving the way for a revolution in virtual economies. With NFTs, players can finally lay claim to their in-game assets, blurring the lines between the virtual and the real. As gaming transforms into a profession and a transparent ecosystem takes shape, NFTs are democratizing the industry and empowering gamers like never before. 3. NFT-based Brand Building: Pioneering the Web3 Revolution In 2024, NFT-based brand building is set to drive the adoption of Web3 as recognized brands embrace this groundbreaking technology. Companies, both established and emerging, are leveraging NFTs to tap into the decentralized value creation paradigm. By leveraging NFTs as assets, brands establish networks that connect holders to the brand and to each other, encouraging consumers to share and promote the brand organically. This innovative approach promises to reshape marketing strategies and strengthen customer engagement through tokenized brand experiences. 4. Tokenized Finance: Unlocking Efficiency and New Revenue Streams The financial world is undergoing a revolution thanks to the power of tokenization. By transforming traditional assets such as stocks, bonds, real estate, and carbon credits into digital tokens, tokenization is reshaping how institutions fund, trade, and manage financial assets. The benefits are clear: enhanced efficiency, reduced transaction costs, and the creation of novel revenue streams. As tokenization gains momentum, the future of finance and investment is being rewritten, signaling a seismic shift in the global economic landscape. 5. Real-world Asset Tokenization: Fueling DeFi's Meteoric Rise DeFi is on the brink of a major breakthrough fueled by the tokenization of real-world assets. From stocks to real estate and everything in between, the potential for tokenization to enhance liquidity, streamline transactions, and unlock new opportunities in DeFi protocols is immense. As the market braces for a potential 10x growth in specific sectors, the stage is set for a transformative journey that will redefine how we perceive and interact with traditional assets in the digital realm. 6. Crypto Adoption in Asia: Unleashing the Dragon’s Influence Asia has emerged as a pivotal player in the global cryptocurrency landscape, with countries such as China, South Korea, and Japan exerting substantial influence over crypto trends and technologies. Boasting a remarkable level of digital literacy and robust technological infrastructure, the region provides fertile ground for the adoption of cryptocurrencies. However, regulatory environments play a crucial role in shaping the pace and extent of crypto adoption across different Asian nations, making them key factors to monitor in the coming years. 7. Layer 2 Scaling Solutions: Unleashing Ethereum's Potential Ethereum, the backbone of decentralized applications, is on the cusp of a major scalability overhaul with the full deployment of Ethereum 2.0. Layer 2 scaling solutions like Optimistic Rollups and zk-Rollups are poised to take center stage, addressing the long-standing issues of congestion and high transaction costs. By improving scalability and enhancing user experiences, these groundbreaking solutions aim to overcome the limitations that have hindered broader blockchain adoption, propelling the Ethereum ecosystem into a new era of efficiency and usability. 8. AI Integration with Blockchain: Pioneering the Era of Intelligent Decentralization The convergence of AI and blockchain technology promises to revolutionize the Web 3 user experience. AI's integration into blockchain networks is enabling the creation of vast metaverses and driving significant advancements within the sector. Notably, AI-related tokens have exhibited robust performance, indicating growing public interest and technological advancements in the realm of artificial intelligence. The fusion of AI and blockchain holds tremendous potential for shaping the future of decentralized applications and transforming various industries. 9. Regulatory Developments: Toward a Balanced Framework After a year marked by conflicts between crypto companies and regulatory agencies such as the SEC and CFTC, 2024 is expected to bring greater dialogue and progress on the regulatory front. While a comprehensive regulatory regime may not be fully established before 2025, stakeholders anticipate significant headway in creating a balanced framework that fosters innovation while ensuring consumer protection and market integrity. Collaborative efforts between industry participants and regulators are crucial to navigating this evolving landscape responsibly. 10. Speculation on Crypto ETFs: Ethereum's Turn in the Spotlight Following the approval of Bitcoin ETFs, all eyes are now on the prospects of Ethereum's cryptocurrency, ether, securing its own exchange-traded fund (ETF). The price of ether experienced a surge as the market anticipated the U.S. Securities and Exchange Commission (SEC) potentially approving ETH ETFs. Decisions regarding spot ETH ETF applications are expected to be announced starting in May 2024. While some industry participants and analysts are optimistic about the approval of ETH ETFs, citing a 70% chance of approval by May, others maintain a more cautious stance, suggesting that the SEC may not greenlight spot Ethereum ETFs in the near future. The outcome of these deliberations will undoubtedly have substantial implications for the crypto industry and the broader financial market. As we embark on the journey into 2024, there is a metamorphic period that awaits for the crypto domain, brimming with transformative trends that will define its subsequent destiny. With the Bitcoin halving on the horizon, the rise of NFTs, and tokenized finance, this year holds the promise of upheaval and will witness a surge of innovation and disruption, pushing the boundaries of what is possible with blockchain technology. P.S. Check out my previous articles on AI at HackerNoon: Top 10 AI Trends of 2024: How AI Transforms Everything How to Build Your Personal GPTs: From Zero to AI Hero GPT-4 Turbo: The Most Monumental Update Since ChatGPT's Debut! Essential Insights from 'State of AI 2023' GPT-4V Unveiled: From Detecting Emotions to Ordering Food - You Won't Believe What Else It Can Do! ChatGPT Now Speaks, Listens, and Understands: All You Need to Know Fine-Tuning for GPT-3.5 Turbo: AI Game Changer The Rise of AI-Generated Films: Lights, Camera, Algorithm! NFT Marketing Guide - The Most Complete and Detailed Playbook 2023

Crypto's Next Chapter: 2024's Game-Changing Predictions

CAGA Crypto’s  Landmark Achievement: Centralized Exchange Listings and the Future of Decentralized Governance CAGA Crypto (CAGA), a pioneering force in the realm of decentralized governance and crypto innovation, is proud to announce its landmark integration into several leading centralized exchanges (CEX). This expansion into platforms like BITMART on 30th November 2023, and GATE.IO on 29 November 2023, represents a significant milestone, not only increasing CAGA's accessibility to a broader audience but also symbolizing a major step forward in the democratization of crypto asset governance. The journey of CAGA Crypto, since its initial launch on Uniswap, has been one of consistent growth and evolution. The CAGA token has experienced a steady increase in value, accompanied by a surge in the number of dedicated token holders. This upward trajectory was promptly recognized, leading to its listings on esteemed crypto tracking platforms such as Coinmarketcap and CoinGecko. These listings signify a growing trust and interest in CAGA within the global crypto community. At the heart of CAGA Crypto's mission is its unwavering commitment to transparent and inclusive governance. As a key player in the Crypto Asset Governance Alliance (CAGA),  it embodies a new era of participatory decision-making in the crypto sphere. This commitment is further exemplified by the introduction of CAGA's unique liquid staking function, now live for users. This feature allows members to stake their investments, thereby playing an active role in shaping the alliance's future directions and policies. In its latest initiative, CAGA Crypto is set to introduce a novel swap pool/mega pool. This project stands as a testament to the alliance's philosophy of community-driven development, with the specifics and direction of the pool being decided through the democratic vote of the CAGA community. It's a move that not only empowers users but also fosters a deeper sense of ownership and participation within the alliance. CAGA Crypto’s vision extends beyond technological innovation; it's about creating a cohesive community bonded by a shared vision for the future of crypto governance. By becoming a part of the Crypto Asset Governance Alliance, individuals, and entities are not merely investing in a digital asset; they are actively contributing to a movement that is redefining the norms of crypto governance, making it more accessible, transparent, and democratically driven. To learn more about CAGA Crypto’s innovative approach to crypto governance, the unique opportunities it offers, and how you can be an integral part of this transformative journey, visit www.cagacrypto.com. Join us as we embark on a mission to reshape the landscape of crypto governance, where every voice has the power to make a difference.

A New Chapter in Crypto Governance: CAGA Crypto’s Integration Into Centralized Exchanges

ক্রিপ্টো গভর্নেন্সের একটি নতুন অধ্যায়: CAGA ক্রিপ্টো-এর একীকরণ কেন্দ্রীভূত এক্সচেঞ্জে

Ein neues Kapitel in der Krypto-Governance: Die Integration von CAGA Crypto in zentralisierte Börsen

Un nuevo capítulo en la gobernanza criptográfica: la integración de CAGA Crypto en intercambios centralizados

Un nouveau chapitre dans la gouvernance de la cryptographie : l'intégration de CAGA Crypto dans les échanges centralisés

क्रिप्टो गवर्नेंस में एक नया अध्याय: CAGA क्रिप्टो का केंद्रीकृत एक्सचेंजों में एकीकरण

仮想通貨ガバナンスの新たな章：CAGA仮想通貨の集中型取引所への統合

암호화폐 거버넌스의 새로운 장: CAGA 암호화폐를 중앙 집중식 거래소에 통합

Um novo capítulo na governança criptográfica: integração da CAGA Crypto em exchanges centralizadas

Новая глава в управлении криптовалютой: интеграция CAGA Crypto в централизованные биржи

Kripto Yönetişiminde Yeni Bir Bölüm: CAGA Crypto'nun Merkezi Borsalara Entegrasyonu

Một chương mới trong quản trị tiền điện tử: Sự tích hợp của tiền điện tử CAGA vào các sàn giao dịch tập trung

加密治理的新篇章：CAGA Crypto 融入中心化交易所

The Noonification: Blockchain ❤️s WASM: Chapter Arbitrum (11/13/2023)

The Noonification: Blockchain ❤️s WASM: Chapter Arbitrum (11/6/2023)

The recent update to Arbitrum features the Stylus VM upgrade, boasting several enhancements: Expanded language support Reduced costs and memory usage Customizable pre-compilers EVM compatibility These improvements stem from integrating WASM, renowned for its numerous benefits within cloud-native environments. Further details on WASM's role will be covered in subsequent sections. Pioneers Arbitrum has introduced WASM to its chain, but it's not the inaugural platform to do so. Polkadot previously allowed the creation of WASM smart contracts. It offers two languages for this: an assembly script similar to an embedded DSL and a Rust-inspired language called ink! Similarly, Cosmos utilizes CosmWasm for its smart contract execution. Developers can craft smart contracts using Rust here. Before exploring the affinity blockchain has for WASM, let's review Cosmos and Polkadot's rationale for choosing WASM. Cosmos touts WASM for these advantages: Rust library compatibility A broad developer community Enhanced security, including reentrancy attack prevention Simplified testing procedures Superior performance Polkadot's WASM runtime showcases features like: Exceptional performance EVM interoperability Hardware and software platform independence Compact size Support for Rust and Assembly Script, akin to Typescript Polkadot, Cosmos, and Arbitrum share several WASM-induced benefits. However, Arbitrum has distinctive offerings we'll discuss later, along with Cosmos specifics. WASM Let's delve into what WASM is and the motivations behind it. What is WASM? WebAssembly (WASM) is a binary instruction format. It enables code to execute at speeds comparable to native applications, specifically within web browsers. As a compilation target for languages such as C and Rust, it's optimized for speed, efficiency, and security. WASM significantly improves web performance and expands web functionalities. WASM is closely tied to the web, as it operates within JavaScript environments like browsers. Within these environments, developers have full access to WASM APIs as well as complete Web API support. This control allows developers to fine-tune web interactions. The Evolution of WASM The concept of WASM revolves around the ideal of writing code once to run it anywhere. In 2016, programs frequently introduced new features via Domain Specific Languages (DSLs). Creating a DSL involved balancing maintenance, efficiency, and safety. The industry sought a method to deploy functions across numerous servers without compromising on these aspects. Various solutions were scrutinized, each with its own set of challenges: struggled with overhead, lack of code visibility for safety, and were too abstract for high performance. System Virtual Machines also lacked code visibility and were similarly abstract, with significant overhead. Containers necessitated frequent modifications for safety, incurred overhead from embedded VMs like V8, and were slow in adopting new languages to fit security models. Language-level Virtual Machines were tough to modify for efficient sandboxing and lacked mature implementations. Instruction Set Architectures (ISAs) WASM emerged as a solution. Development of WASM compilers began, and by 2018, the concept of universal code compatibility across various architectures and devices was expanded. Unlike Java, the goal was not to compromise on safety. In 2019, the component model was introduced, elevating WASM modules for cross-language interoperability. This innovation enabled, for instance, the creation of a universal HTTP library applicable across different languages, addressing complex issues innovatively. WASM Today WASM boasts an array of impressive features: : WASM code runs efficiently and swiftly. High Performance : The binary format of WASM ensures a small footprint. Compact Size : It allows the same bytecode to operate on any WASM-compatible runtime. Portability : WASM supports a wide range of languages, from C/C++ and Rust to Go and Swift, among others. Language Support : WASM works seamlessly within JS engines. JavaScript Engine Compatibility : A robust default sandbox restricts memory and CPU access to prevent external interference. Sandboxing : WASM modules typically boot in milliseconds. Rapid Startup The WASM community is actively enhancing integration and performance across different programming languages. Stylus Exploring the potential of WASM and its use in blockchains leads us back to the limitations of Arbitrum Stylus. Functioning of Stylus Here's a simplified breakdown of how Stylus operates: Developers use standard WASM compilers, like Clang or Rustc, to compile their smart contracts to WASM. The resulting WASM bytecode is then uploaded to the Arbitrum chain in a compressed state. Through the precompile's method, the bytecode undergoes instrumentation for security, gas metering, and is compiled into native code tailored for the validator’s hardware. This step is crucial for enhancing performance and security. ArbWasm compileProgram Upon invocation, the contract runs on a WASM runtime, such as Wasmer, which is significantly faster and more gas-efficient than the EVM. The seemingly additional third step is, in fact, vital. Converting WASM code to native machine code accelerates execution speeds. Moreover, this added compilation phase helps to prevent "compile bombs." A "compile bomb" is malicious code designed to exhaust system resources during compilation, potentially crashing or stalling the compiler. This acts as a denial-of-service attack aimed at hindering the software development process. Concerns About Stylus Language Support Stylus has widened Arbitrum's developer community to include C++ and Rust. However, it has yet to encompass the most prevalent developer communities of today. It facilitates smart contract execution in browsers but does not support JavaScript and Python yet. There are projects in the early stages attempting to bridge Python and JavaScript to WASM. But, these are not ready for widespread adoption due to the complexities with garbage collection and performance concerns. Language Compatibility Stylus currently supports C/C++ and Rust through its SDKs. These SDKs are compatible with the tools of the respective languages. They also allow the integration of third-party libraries, such as native cryptography. The main constraint is the gas cost associated with these libraries. The Rust SDK is in its nascent phase, lacking some functionalities. The C SDK does not support exporting functions with ABI. Additionally, neither SDK supports the use of modifiers. As of now, Stylus does not have a local test environment. Developers are encouraged to conduct tests within the SDKs. The testnet is the sole option for running smart contracts on Stylus. However, the testnet has not yet implemented smart contract verification. There is ongoing work to port various ERC tokens and platforms like to Stylus. Uniswap V2 Language Choice Choosing between a Domain-Specific Language (DSL), an embedded DSL (eDSL), or a general programming language is challenging. Developers must weigh the benefits of working "close to the metal" for control against the ease of use offered by higher-level abstractions, which may limit flexibility. Creating a new DSL requires time to develop its toolchains and ecosystem. An eDSL, as a subset of a general programming language, maintains the same semantics and syntax. It allows developers to use existing languages and tools, which can simplify the learning process. An eDSL also offers better interoperability with general-purpose code. For example, an eDSL for JavaScript or Python would be strategic to engage the largest developer communities. General programming languages necessitate the use of an SDK for development. This adds layers of tooling, increases verbosity, and reduces expressiveness. It can also result in lengthy API calls and complex object operations. Choosing the right language and crafting an eDSL could be an ideal compromise. It could draw developers from popular communities and offer user-friendly tools. Current data shows that the Ethereum community remains the largest among crypto developers. However, ecosystems like Polkadot, Cosmos, and Solana, which use Rust for smart contracts, are also attracting a significant number of developers and are experiencing rapid growth. Performance WASM has the potential to significantly enhance execution speed and reduce bundle size. Although Stylus hasn't been deployed to the mainnet, benchmarks from other networks serve as a useful reference. These benchmarks indicate that execution times can be reduced by 4 to 8 times, and the compiled size may be halved. Stylus imposes a limit on contract sizes, which is about 128KB uncompressed. This constraint makes it challenging to migrate very large smart contracts from languages like Solidity to Stylus. This limitation is evident within the Stylus codebase: // arbos/programs/programs.go

const MaxWasmSize = 128 * 1024 // Maximum WASM size allowed
const initialFreePages = 2 // Number of initial free pages
const initialPageGas = 1000 // Gas cost for an initial page
const initialPageRamp = 620674314 // Adjusts for a target size cost
const initialPageLimit = 128 // Maximum number of pages allowed
const initialInkPrice = 10000 // Ink price per EVM gas
const initialCallScalar = 8 // Scalar for call cost It's important to note that WASM incurs some overhead for starting up and shutting down. For very lightweight operations, EVM might be more cost-effective than WASM. EVM-WASM Interoperability EVM and WASM use the same storage slots and state tree. Stylus achieves interoperability with EVM by implementing EVM APIs within WASM. This integration utilizes the widely-adopted Host I/O mode in WASM. Below is the complete list of EVM APIs supported in WASM, indicating comprehensive interoperability support. read_args
write_result
storage_load_bytes32
storage_store_bytes32
call_contract
delegate_call_contract
static_call_contract
do_call
create1
create2
do_create
read_return_data
return_data_size
emit_log
account_balance
account_codehash
evm_gas_left
evm_ink_left
block_basefee
block_coinbase
block_gas_limit
block_number
block_timestamp
chainid
contract_address
msg_reentrant
msg_sender
msg_value
native_keccak256
tx_gas_price
tx_ink_price
tx_prigin
memoery_grow
console_log_text
console_log
console_tee Custom Precompiles Custom precompiles are an innovative concept. They have the potential to integrate advanced crypto primitives on-chain at reduced execution costs. For instance, tensor computations could be precompiled to decrease costs for on-chain machine learning. However, there is no evidence of custom precompile functionality in the current codebase. While precompiles exist for the EVM, they are not designed to be swappable. It's likely that these features are still being developed, leveraging WASM's capabilities. This would enable EVM to call WASM-written functions, which are then compiled to machine code. Reentrancy In contrast to CosmWasm's actor model, which doesn't support reentrancy, Stylus’s Rust SDK includes reentrancy as an optional feature. By default, this feature is turned off. Developers have the choice to enable reentrancy in their contracts. Activating reentrancy affects the API since developers must ensure they clear the storage cache during calls and consider other safety measures. This precaution is essential to prevent potential vulnerabilities associated with reentrant calls. Conclusion WASM is gaining popularity in the cloud-native domain, with many blockchains adopting it for smart contract execution. Although Arbitrum isn't the pioneer in this integration, its implementation could be highly impactful. WASM isn't positioned to completely overhaul the blockchain landscape or replace EVM. However, it could boost Arbitrum's edge against the emerging zk-rollups. Arbitrum's term "EVM+" aptly describes this scenario. EVM sets the foundation for smart contract platforms, and WASM could provide an additional performance boost for Arbitrum.

Blockchain ❤️'s WASM: Chapter Arbitrum

ব্লকচেইন ❤️ এর WASM: অধ্যায়ের সিদ্ধান্ত

WASM von Blockchain ❤️: Kapitelentscheidung

WASM de Blockchain ❤️: Decisión del capítulo

WASM de Blockchain ❤️ : décision du chapitre

ब्लॉकचेन ❤️ का WASM: अध्याय निर्णय

ブロックチェーン ❤️ の WASM: 章の決定

블록체인 ❤️의 WASM: 챕터 결정

WASM do Blockchain ❤️: decisão do capítulo

WASM от Blockchain ❤️: Решение главы

Blockchain ❤️'in WASM'si: Bölüm Kararı

WASM của Blockchain ❤️: Quyết định của chương

区块链❤️的 WASM：章节决策

The following chapters will furnish exercises in composition, both oral and written

How Dramatron Empowers Co-Creative Scriptwriting with AI Assistance 

From Nuisance to News Sense: Conclusion, Limitations and Ethic, and References

Enhance Sentiment Analysis with Role-Flipping Multi-LLM Negotiation

This paper is available on arxiv under CC 4.0 license.
Authors:
(1) Hyerin Cho (조혜린), Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA;
(2) Ben S. Prather, CCS-2, Los Alamos National Laboratory, PO Box 1663, Los Alamos, NM 87545, USA;
(3) Ramesh Narayan, enter for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA;
(4) Priyamvada Natarajan, Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA, Department of Astronomy, Yale University, Kline Tower, 266 Whitney Avenue, New Haven, CT 06511, USA and Department of Physics, Yale University, P.O. Box 208121, New Haven, CT 06520, USA;
(5) Kung-Yi Su, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA;
(6) Angelo Ricarte, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA;
(7) Koushik Chatterjee, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA. Table of Links Abstract and Introduction Numerical Methods Hydrodynamic Bondi Accretion Magnetized Bondi Accretion Feedback Via Reconnection-Driven Convection Summary and Conclusions Acknowledgements Appendix A. GRMHD Primer and Definitions B. Numerical Set-up C. Resolution and Initial Condition Study References C. RESOLUTION AND INITIAL CONDITION STUDY This paper is available on Arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. Authors: (1) Hyerin Cho (조혜린), Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (2) Ben S. Prather, CCS-2, Los Alamos National Laboratory, PO Box 1663, Los Alamos, NM 87545, USA; (3) Ramesh Narayan, enter for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (4) Priyamvada Natarajan, Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA, Department of Astronomy, Yale University, Kline Tower, 266 Whitney Avenue, New Haven, CT 06511, USA and Department of Physics, Yale University, P.O. Box 208121, New Haven, CT 06520, USA; (5) Kung-Yi Su, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (6) Angelo Ricarte, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (7) Koushik Chatterjee, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA. This paper is available on arxiv under CC 4.0 license. Authors : Authors (1) Hyerin Cho (조혜린), Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (2) Ben S. Prather, CCS-2, Los Alamos National Laboratory, PO Box 1663, Los Alamos, NM 87545, USA; (3) Ramesh Narayan, enter for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (4) Priyamvada Natarajan, Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA, Department of Astronomy, Yale University, Kline Tower, 266 Whitney Avenue, New Haven, CT 06511, USA and Department of Physics, Yale University, P.O. Box 208121, New Haven, CT 06520, USA; (5) Kung-Yi Su, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (6) Angelo Ricarte, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (7) Koushik Chatterjee, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA. Table of Links Abstract and Introduction Abstract and Introduction Numerical Methods Numerical Methods Hydrodynamic Bondi Accretion Hydrodynamic Bondi Accretion Magnetized Bondi Accretion Magnetized Bondi Accretion Feedback Via Reconnection-Driven Convection Feedback Via Reconnection-Driven Convection Summary and Conclusions Summary and Conclusions Acknowledgements Acknowledgements Appendix Appendix A. GRMHD Primer and Definitions A. GRMHD Primer and Definitions B. Numerical Set-up B. Numerical Set-up C. Resolution and Initial Condition Study C. Resolution and Initial Condition Study References References C. RESOLUTION AND INITIAL CONDITION STUDY This paper is available on Arxiv under CC 4.0 license. This paper is available on Arxiv under CC 4.0 license. Arxiv

The Resolution to Our Black Hole Study

This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license.
Authors:
(1) Yejin Bang, Centre for Artificial Intelligence Research (CAiRE), The Hong Kong University of Science and Technology;
(2) Nayeon Lee, Centre for Artificial Intelligence Research (CAiRE), The Hong Kong University of Science and Technology;
(3) Pascale Fung, Centre for Artificial Intelligence Research (CAiRE), The Hong Kong University of Science and Technology. Table of Links Abstract and Intro
Related Work
Approach
Experiments
Conclusion
Limitations, Ethics Statement and References
A. Experimental Details
B. Generation Results 6.1. Limitations The study is limited by its adherence to the benchmark’s English-based task setup. The analysis is constrained to political ideologies in the United States and the English language. Additionally, the BART model’s 1024 sub-token input limit restricts the number of biased source articles that can be included as an input. It is important to note that these limitations, while potentially impacting the scope of the study’s findings, are not uncommon in natural language processing research. Nonetheless, future research may benefit from addressing these limitations by exploring alternative methods for a broader range of political ideologies (NonU.S. political ideologies) and languages, as well as incorporating longer input texts to capture a more comprehensive range of source articles. 6.2. Ethics Statement The issue of biased articles with framing has been extensively studied, as it can lead to polarization by influencing readers’ opinions toward a certain person, group, or topic. To address this problem, our research focuses on introducing a loss function that can be incorporated to enable the model to reduce framing bias in the generated summary. However, it is important to recognize that automatic technologies can also have unintended negative consequences if not developed with careful consideration of their broader impacts. For example, machine learning models can introduce bias in their output, replacing known source bias with another form of bias (Lee et al., 2022). To mitigate this risk, Lee et al. (2022) have suggested including explicit mention of the source articles alongside automatically generated neutral summaries. Furthermore, while our work aims to remove framing bias in human-generated articles, there is the potential for hallucination in the generation, which is a well-known problem of generative models (Ji et al., 2023). Thus, it is important to equip a guardrail (e.g., a provision of source reference) if such automatic technology is implemented for actual use cases. Despite these challenges, our research can contribute to the effort of mitigating human-generated framing bias in order to reduce polarization in society. One of the use cases can be to aid human experts in the process of providing multi-view synthesized articles without framing bias. In terms of broader societal impact, we hope our work can help online users access more depolarized information online. 6.3. References 2021. Center – what does a "center" media bias rating mean? Ramy Baly, Giovanni Da San Martino, James Glass, and Preslav Nakov. 2020. We can detect your bias: Predicting the political ideology of news articles. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 4982–4991, Online. Association for Computational Linguistics. Adriana Beratšová, Kristína Krchová, Nikola Gažová, and Michal Jirásek. 2016. Framing and bias: a literature review of recent findings. Central European journal of management, 3(2). Dennis Chong and James N Druckman. 2007. Framing theory. Annu. Rev. Polit. Sci., 10:103–126. Robert M Entman. 2002. Framing: Towards clarification of a fractured paradigm. McQuail’s Reader in Mass Communication Theory. London, California and New Delhi: Sage. Robert M Entman. 2007. Framing bias: Media in the distribution of power. Journal of communication, 57(1):163–173. Robert M Entman. 2010. Media framing biases and political power: Explaining slant in news of campaign 2008. Journalism, 11(4):389–408. Alexander R Fabbri, Irene Li, Tianwei She, Suyi Li, and Dragomir R Radev. 2019. Multi-news: A large-scale multi-document summarization dataset and abstractive hierarchical model. arXiv preprint arXiv:1906.01749 Lisa Fan, Marshall White, Eva Sharma, Ruisi Su, Prafulla Kumar Choubey, Ruihong Huang, and Lu Wang. 2019. In plain sight: Media bias through the lens of factual reporting. arXiv preprint arXiv:1909.02670. Matthew Gentzkow and Jesse M Shapiro. 2006. Media bias and reputation. Journal of political Economy, 114(2):280–316. Matthew Gentzkow, Jesse M Shapiro, and Daniel F Stone. 2015. Media bias in the marketplace: Theory. In Handbook of media economics, volume 1, pages 623–645. Elsevier. Erving Goffman. 1974. Frame analysis: An essay on the organization of experience. Harvard University Press Felix Hamborg, Karsten Donnay, and Bela Gipp. 2019. Automated identification of media bias in news articles: an interdisciplinary literature review. International Journal on Digital Libraries, 20(4):391–415. Felix Hamborg, Norman Meuschke, and Bela Gipp. 2017. Matrix-based news aggregation: exploring different news perspectives. In 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL), pages 1–10. IEEE. Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung. 2023. Survey of hallucination in natural language generation. ACM Comput. Surv., 55(12). Daniel Kahneman and Amos Tversky. 2013. Prospect theory: An analysis of decision under risk. In Handbook of the fundamentals of financial decision making: Part I, pages 99–127. World Scientific. Philippe Laban and Marti A Hearst. 2017. newslens: building and visualizing long-ranging news stories. In Proceedings of the Events and Stories in the News Workshop, pages 1–9. Nayeon Lee, Yejin Bang, Tiezheng Yu, Andrea Madotto, and Pascale Fung. 2022. NeuS: Neutral multi-news summarization for mitigating framing bias. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 3131–3148, Seattle, United States. Association for Computational Linguistics. Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019. Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension. arXiv preprint arXiv:1910.13461. Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nicholas Beauchamp, and Lu Wang. 2022. POLITICS: Pretraining with same-story article comparison for ideology prediction and stance detection. In Findings of the Association for Computational Linguistics: NAACL 2022, pages 1354–1374, Seattle, United States. Association for Computational Linguistics. Saif Mohammad. 2018. Obtaining reliable human ratings of valence, arousal, and dominance for 20,000 english words. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 174–184. Fred Morstatter, Liang Wu, Uraz Yavanoglu, Stephen R Corman, and Huan Liu. 2018. Identifying framing bias in online news. ACM Transactions on Social Computing, 1(2):1–18. Kishore Papineni, Salim Roukos, Todd Ward, and WeiJing Zhu. 2002. Bleu: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting of the Association for Computational Linguistics, pages 311–318. Souneil Park, Seungwoo Kang, Sangyoung Chung, and Junehwa Song. 2009. Newscube: delivering multiple aspects of news to mitigate media bias. In Proceedings of the SIGCHI conference on human factors in computing systems, pages 443–452. Dietram A Scheufele. 2000. Agenda-setting, priming, and framing revisited: Another look at cognitive effects of political communication. Mass communication & society, 3(2-3):297–316. All Sides. 2018. Media bias ratings. Allsides.com. Timo Spinde, Christina Kreuter, Wolfgang Gaissmaier, Felix Hamborg, Bela Gipp, and Helge Giese. 2021. Do you think it’s biased? how to ask for the perception of media bias. In 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL), pages 61–69. IEEE. Esther van den Berg and Katja Markert. 2020. Context in informational bias detection. In Proceedings of the 28th International Conference on Computational Linguistics, pages 6315–6326, Barcelona, Spain (Online). International Committee on Computational Linguistics. George Wright and Paul Goodwin. 2002. Eliminating a framing bias by using simple instructions to ‘think harder’and respondents with managerial experience: Comment on ‘breaking the frame’. Strategic management journal, 23(11):1059–1067. Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter J. Liu. 2019a. Pegasus: Pre-training with extracted gap-sentences for abstractive summarization. Tianyi Zhang*, Varsha Kishore*, Felix Wu*, Kilian Q. Weinberger, and Yoav Artzi. 2020. Bertscore: Evaluating text generation with bert. In International Conference on Learning Representations. Yifan Zhang, Giovanni Da San Martino, Alberto BarrónCedeno, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, et al. 2019b. Tanbih: Get to know what you are reading. EMNLP-IJCNLP 2019, page 223. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. Authors: (1) Yejin Bang, Centre for Artificial Intelligence Research (CAiRE), The Hong Kong University of Science and Technology; (2) Nayeon Lee, Centre for Artificial Intelligence Research (CAiRE), The Hong Kong University of Science and Technology; (3) Pascale Fung, Centre for Artificial Intelligence Research (CAiRE), The Hong Kong University of Science and Technology. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. Authors: Authors: (1) Yejin Bang, Centre for Artificial Intelligence Research (CAiRE), The Hong Kong University of Science and Technology; (2) Nayeon Lee, Centre for Artificial Intelligence Research (CAiRE), The Hong Kong University of Science and Technology; (3) Pascale Fung, Centre for Artificial Intelligence Research (CAiRE), The Hong Kong University of Science and Technology. Table of Links Abstract and Intro Related Work Approach Experiments Conclusion Limitations, Ethics Statement and References A. Experimental Details B. Generation Results Abstract and Intro Abstract and Intro Related Work Related Work Approach Approach Experiments Experiments Conclusion Conclusion Limitations, Ethics Statement and References Limitations, Ethics Statement and References A. Experimental Details A. Experimental Details B. Generation Results B. Generation Results 6.1. Limitations The study is limited by its adherence to the benchmark’s English-based task setup. The analysis is constrained to political ideologies in the United States and the English language. Additionally, the BART model’s 1024 sub-token input limit restricts the number of biased source articles that can be included as an input. It is important to note that these limitations, while potentially impacting the scope of the study’s findings, are not uncommon in natural language processing research. Nonetheless, future research may benefit from addressing these limitations by exploring alternative methods for a broader range of political ideologies (NonU.S. political ideologies) and languages, as well as incorporating longer input texts to capture a more comprehensive range of source articles. 6.2. Ethics Statement The issue of biased articles with framing has been extensively studied, as it can lead to polarization by influencing readers’ opinions toward a certain person, group, or topic. To address this problem, our research focuses on introducing a loss function that can be incorporated to enable the model to reduce framing bias in the generated summary. However, it is important to recognize that automatic technologies can also have unintended negative consequences if not developed with careful consideration of their broader impacts. For example, machine learning models can introduce bias in their output, replacing known source bias with another form of bias (Lee et al., 2022). To mitigate this risk, Lee et al. (2022) have suggested including explicit mention of the source articles alongside automatically generated neutral summaries. Furthermore, while our work aims to remove framing bias in human-generated articles, there is the potential for hallucination in the generation, which is a well-known problem of generative models (Ji et al., 2023). Thus, it is important to equip a guardrail (e.g., a provision of source reference) if such automatic technology is implemented for actual use cases. Despite these challenges, our research can contribute to the effort of mitigating human-generated framing bias in order to reduce polarization in society. One of the use cases can be to aid human experts in the process of providing multi-view synthesized articles without framing bias. In terms of broader societal impact, we hope our work can help online users access more depolarized information online. 6.3. References 2021. Center – what does a "center" media bias rating mean? Ramy Baly, Giovanni Da San Martino, James Glass, and Preslav Nakov. 2020. We can detect your bias: Predicting the political ideology of news articles. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 4982–4991, Online. Association for Computational Linguistics. Adriana Beratšová, Kristína Krchová, Nikola Gažová, and Michal Jirásek. 2016. Framing and bias: a literature review of recent findings. Central European journal of management, 3(2). Dennis Chong and James N Druckman. 2007. Framing theory. Annu. Rev. Polit. Sci., 10:103–126. Robert M Entman. 2002. Framing: Towards clarification of a fractured paradigm. McQuail’s Reader in Mass Communication Theory. London, California and New Delhi: Sage. Robert M Entman. 2007. Framing bias: Media in the distribution of power. Journal of communication, 57(1):163–173. Robert M Entman. 2010. Media framing biases and political power: Explaining slant in news of campaign 2008. Journalism, 11(4):389–408. Alexander R Fabbri, Irene Li, Tianwei She, Suyi Li, and Dragomir R Radev. 2019. Multi-news: A large-scale multi-document summarization dataset and abstractive hierarchical model. arXiv preprint arXiv:1906.01749 Lisa Fan, Marshall White, Eva Sharma, Ruisi Su, Prafulla Kumar Choubey, Ruihong Huang, and Lu Wang. 2019. In plain sight: Media bias through the lens of factual reporting. arXiv preprint arXiv:1909.02670. Matthew Gentzkow and Jesse M Shapiro. 2006. Media bias and reputation. Journal of political Economy, 114(2):280–316. Matthew Gentzkow, Jesse M Shapiro, and Daniel F Stone. 2015. Media bias in the marketplace: Theory. In Handbook of media economics, volume 1, pages 623–645. Elsevier. Erving Goffman. 1974. Frame analysis: An essay on the organization of experience. Harvard University Press Felix Hamborg, Karsten Donnay, and Bela Gipp. 2019. Automated identification of media bias in news articles: an interdisciplinary literature review. International Journal on Digital Libraries, 20(4):391–415. Felix Hamborg, Norman Meuschke, and Bela Gipp. 2017. Matrix-based news aggregation: exploring different news perspectives. In 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL), pages 1–10. IEEE. Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung. 2023. Survey of hallucination in natural language generation. ACM Comput. Surv., 55(12). Daniel Kahneman and Amos Tversky. 2013. Prospect theory: An analysis of decision under risk. In Handbook of the fundamentals of financial decision making: Part I, pages 99–127. World Scientific. Philippe Laban and Marti A Hearst. 2017. newslens: building and visualizing long-ranging news stories. In Proceedings of the Events and Stories in the News Workshop, pages 1–9. Nayeon Lee, Yejin Bang, Tiezheng Yu, Andrea Madotto, and Pascale Fung. 2022. NeuS: Neutral multi-news summarization for mitigating framing bias. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 3131–3148, Seattle, United States. Association for Computational Linguistics. Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019. Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension. arXiv preprint arXiv:1910.13461. Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nicholas Beauchamp, and Lu Wang. 2022. POLITICS: Pretraining with same-story article comparison for ideology prediction and stance detection. In Findings of the Association for Computational Linguistics: NAACL 2022, pages 1354–1374, Seattle, United States. Association for Computational Linguistics. Saif Mohammad. 2018. Obtaining reliable human ratings of valence, arousal, and dominance for 20,000 english words. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 174–184. Fred Morstatter, Liang Wu, Uraz Yavanoglu, Stephen R Corman, and Huan Liu. 2018. Identifying framing bias in online news. ACM Transactions on Social Computing, 1(2):1–18. Kishore Papineni, Salim Roukos, Todd Ward, and WeiJing Zhu. 2002. Bleu: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting of the Association for Computational Linguistics, pages 311–318. Souneil Park, Seungwoo Kang, Sangyoung Chung, and Junehwa Song. 2009. Newscube: delivering multiple aspects of news to mitigate media bias. In Proceedings of the SIGCHI conference on human factors in computing systems, pages 443–452. Dietram A Scheufele. 2000. Agenda-setting, priming, and framing revisited: Another look at cognitive effects of political communication. Mass communication & society, 3(2-3):297–316. All Sides. 2018. Media bias ratings. Allsides.com. Timo Spinde, Christina Kreuter, Wolfgang Gaissmaier, Felix Hamborg, Bela Gipp, and Helge Giese. 2021. Do you think it’s biased? how to ask for the perception of media bias. In 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL), pages 61–69. IEEE. Esther van den Berg and Katja Markert. 2020. Context in informational bias detection. In Proceedings of the 28th International Conference on Computational Linguistics, pages 6315–6326, Barcelona, Spain (Online). International Committee on Computational Linguistics. George Wright and Paul Goodwin. 2002. Eliminating a framing bias by using simple instructions to ‘think harder’and respondents with managerial experience: Comment on ‘breaking the frame’. Strategic management journal, 23(11):1059–1067. Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter J. Liu. 2019a. Pegasus: Pre-training with extracted gap-sentences for abstractive summarization. Tianyi Zhang*, Varsha Kishore*, Felix Wu*, Kilian Q. Weinberger, and Yoav Artzi. 2020. Bertscore: Evaluating text generation with bert. In International Conference on Learning Representations. Yifan Zhang, Giovanni Da San Martino, Alberto BarrónCedeno, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, et al. 2019b. Tanbih: Get to know what you are reading. EMNLP-IJCNLP 2019, page 223.

Mitigating Framing Bias with Polarity Minimization Loss: Limitations, Ethics Statement & References

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通过极性最小化损失减轻框架偏差：局限性、道德声明和参考文献

This paper is available on arxiv under CC 4.0 license.
Authors:
(1) Hyerin Cho (조혜린), Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA;
(2) Ben S. Prather, CCS-2, Los Alamos National Laboratory, PO Box 1663, Los Alamos, NM 87545, USA;
(3) Ramesh Narayan, enter for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA;
(4) Priyamvada Natarajan, Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA, Department of Astronomy, Yale University, Kline Tower, 266 Whitney Avenue, New Haven, CT 06511, USA and Department of Physics, Yale University, P.O. Box 208121, New Haven, CT 06520, USA;
(5) Kung-Yi Su, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA;
(6) Angelo Ricarte, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA;
(7) Koushik Chatterjee, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA. Table of Links Abstract and Introduction Numerical Methods Hydrodynamic Bondi Accretion Magnetized Bondi Accretion Feedback Via Reconnection-Driven Convection Summary and Conclusions Acknowledgements Appendix A. GRMHD Primer and Definitions B. Numerical Set-up C. Resolution and Initial Condition Study References REFERENCES Angl´es-Alc´azar, D., Quataert, E., Hopkins, P. F., et al. 2021, ApJ, 917, 53, doi: 10.3847/1538-4357/ac09e8 Anile, A. M. 1989, Relativistic fluids and magneto-fluids: With applications in astrophysics and plasma physics Bisnovatyi-Kogan, G. S., & Ruzmaikin, A. A. 1974, Ap&SS, 28, 45, doi: 10.1007/BF00642237 Bondi, H. 1952, MNRAS, 112, 195, doi: 10.1093/mnras/112.2.195 Booth, C. M., & Schaye, J. 2009, MNRAS, 398, 53, doi: 10.1111/j.1365-2966.2009.15043.x Chatterjee, K., & Narayan, R. 2022, ApJ, 941, 30, doi: 10.3847/1538-4357/ac9d97 Chatterjee, K., Chael, A., Tiede, P., et al. 2023, Galaxies, 11, 38, doi: 10.3390/galaxies11020038 Dav´e, R., Angl´es-Alc´azar, D., Narayanan, D., et al. 2019, MNRAS, 486, 2827, doi: 10.1093/mnras/stz937 Event Horizon Telescope Collaboration, Akiyama, K., Algaba, J. C., et al. 2021, ApJL, 910, L13, doi: 10.3847/2041-8213/abe4de Ferrarese, L., & Merritt, D. 2000, ApJL, 539, L9, doi: 10.1086/312838 Ferri`ere, K. 2020, Plasma Physics and Controlled Fusion, 62, 014014, doi: 10.1088/13616587/ab49eb Fiacconi, D., Sijacki, D., & Pringle, J. E. 2018, MNRAS, 477, 3807, doi: 10.1093/mnras/sty893 Gammie, C. F., McKinney, J. C., & T´oth, G. 2003, ApJ, 589, 444, doi: 10.1086/374594 Gebhardt, K., Bender, R., Bower, G., et al. 2000, ApJL, 539, L13, doi: 10.1086/312840 Grete, P., Dolence, J. C., Miller, J. M., et al. 2023, 37, 465, doi: 10.1177/10943420221143775 Guerra, J. A., Lopez-Rodriguez, E., Chuss, D. T., Butterfield, N. O., & Schmelz, J. T. 2023, AJ, 166, 37, doi: 10.3847/1538-3881/acdacd Guo, M., Stone, J. M., Kim, C.-G., & Quataert, E. 2023, ApJ, 946, 26, doi: 10.3847/1538-4357/acb81e Hopkins, P. F., & Quataert, E. 2010, MNRAS, 407, 1529, doi: 10.1111/j.1365-2966.2010.17064.x Hopkins, P. F., Grudic, M. Y., Su, K.-Y., et al. 2023, arXiv e-prints, arXiv:2309.13115. https://arxiv.org/abs/2309.13115 Igumenshchev, I. V., & Narayan, R. 2002, ApJ, 566, 137, doi: 10.1086/338077 Igumenshchev, I. V., Narayan, R., & Abramowicz, M. A. 2003, ApJ, 592, 1042, doi: 10.1086/375769 Kaaz, N., Murguia-Berthier, A., Chatterjee, K., Liska, M. T. P., & Tchekhovskoy, A. 2023, ApJ, 950, 31, doi: 10.3847/1538-4357/acc7a1 Komissarov, S. S. 1999, MNRAS, 303, 343, doi: 10.1046/j.1365-8711.1999.02244.x Kormendy, J., & Ho, L. C. 2013, ARA&A, 51, 511, doi: 10.1146/annurev-astro-082708-101811 Lalakos, A., Gottlieb, O., Kaaz, N., et al. 2022, ApJL, 936, L5, doi: 10.3847/2041-8213/ac7bed Li, Y., & Bryan, G. L. 2014, ApJ, 789, 153, doi: 10.1088/0004-637X/789/2/153 Magorrian, J., Tremaine, S., Richstone, D., et al. 1998, AJ, 115, 2285, doi: 10.1086/300353 Meszaros, P. 1975, A&A, 44, 59 Michel, F. C. 1972, Ap&SS, 15, 153, doi: 10.1007/BF00649949 Narayan, R., Chael, A., Chatterjee, K., Ricarte, A., & Curd, B. 2022, MNRAS, 511, 3795, doi: 10.1093/mnras/stac285 Narayan, R., Igumenshchev, I. V., & Abramowicz, M. A. 2000, ApJ, 539, 798, doi: 10.1086/309268—. 2003, PASJ, 55, L69, doi: 10.1093/pasj/55.6.L69 Ni, Y., Di Matteo, T., Bird, S., et al. 2022, MNRAS, 513, 670, doi: 10.1093/mnras/stac351 Pen, U.-L., Matzner, C. D., & Wong, S. 2003, ApJL, 596, L207, doi: 10.1086/379339 Penna, R. F., Kulkarni, A., & Narayan, R. 2013, A&A, 559, A116, doi: 10.1051/0004-6361/201219666 Porth, O., Chatterjee, K., Narayan, R., et al. 2019, ApJS, 243, 26, doi: 10.3847/1538-4365/ab29fd Prather, B. S., Wong, G. N., Dhruv, V., et al. 2021, 6, 3336, doi: 10.21105/joss.03336 Quataert, E., & Gruzinov, A. 2000, ApJ, 539, 809, doi: 10.1086/309267 Ressler, S. M., Quataert, E., White, C. J., & Blaes, O. 2021, MNRAS, 504, 6076, doi: 10.1093/mnras/stab311 Ressler, S. M., White, C. J., Quataert, E., & Stone, J. M. 2020, ApJL, 896, L6, doi: 10.3847/2041-8213/ab9532 Ricarte, A., Tremmel, M., Natarajan, P., & Quinn, T. 2019, MNRAS, 489, 802, doi: 10.1093/mnras/stz2161 Ripperda, B., Liska, M., Chatterjee, K., et al. 2022, ApJL, 924, L32, doi: 10.3847/2041-8213/ac46a1 Rosas-Guevara, Y., Bower, R. G., Schaye, J., et al. 2016, MNRAS, 462, 190, doi: 10.1093/mnras/stw1679 Russell, H. R., Fabian, A. C., McNamara, B. R., & Broderick, A. E. 2015, MNRAS, 451, 588, doi: 10.1093/mnras/stv954 Shapiro, S. L., & Teukolsky, S. A. 1983, Black holes, white dwarfs, and neutron stars : the physics of compact objects Shvartsman, V. F. 1971, Soviet Ast., 15, 377 Sijacki, D., Vogelsberger, M., Genel, S., et al. 2015, MNRAS, 452, 575, doi: 10.1093/mnras/stv1340 Talbot, R. Y., Bourne, M. A., & Sijacki, D. 2021, MNRAS, 504, 3619, doi: 10.1093/mnras/stab804 Tchekhovskoy, A., McKinney, J. C., & Narayan, R. 2012, in Journal of Physics Conference Series, Vol. 372, Journal of Physics Conference Series, 012040, doi: 10.1088/1742-6596/372/1/012040 Tchekhovskoy, A., Narayan, R., & McKinney, J. C. 2011, MNRAS, 418, L79, doi: 10.1111/j.1745-3933.2011.01147.x Trott, C. R., Lebrun-Grandi, D., Arndt, D., et al. 2022, 33, 805, doi: 10.1109/TPDS.2021.3097283 Wang, Q. D., Nowak, M. A., Markoff, S. B., et al. 2013, Science, 341, 981, doi: 10.1126/science.1240755 Weinberger, R., Springel, V., Pakmor, R., et al. 2018, MNRAS, 479, 4056, doi: 10.1093/mnras/sty1733 Weinberger, R., Su, K.-Y., Ehlert, K., et al. 2023, MNRAS, 523, 1104, doi: 10.1093/mnras/stad1396 Wellons, S., Faucher-Gigu`ere, C.-A., Hopkins, P. F., et al. 2023, MNRAS, 520, 5394, doi: 10.1093/mnras/stad511 Wong, G. N., Du, Y., Prather, B. S., & Gammie, C. F. 2021, ApJ, 914, 55, doi: 10.3847/1538-4357/abf8b8 Yuan, F., Gan, Z., Narayan, R., et al. 2015, ApJ, 804, 101, doi: 10.1088/0004-637X/804/2/101 This paper is available on Arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. Authors: (1) Hyerin Cho (조혜린), Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (2) Ben S. Prather, CCS-2, Los Alamos National Laboratory, PO Box 1663, Los Alamos, NM 87545, USA; (3) Ramesh Narayan, enter for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (4) Priyamvada Natarajan, Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA, Department of Astronomy, Yale University, Kline Tower, 266 Whitney Avenue, New Haven, CT 06511, USA and Department of Physics, Yale University, P.O. Box 208121, New Haven, CT 06520, USA; (5) Kung-Yi Su, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (6) Angelo Ricarte, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (7) Koushik Chatterjee, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA. This paper is available on arxiv under CC 4.0 license. Authors : Authors (1) Hyerin Cho (조혜린), Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (2) Ben S. Prather, CCS-2, Los Alamos National Laboratory, PO Box 1663, Los Alamos, NM 87545, USA; (3) Ramesh Narayan, enter for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (4) Priyamvada Natarajan, Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA, Department of Astronomy, Yale University, Kline Tower, 266 Whitney Avenue, New Haven, CT 06511, USA and Department of Physics, Yale University, P.O. Box 208121, New Haven, CT 06520, USA; (5) Kung-Yi Su, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (6) Angelo Ricarte, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (7) Koushik Chatterjee, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA. Table of Links Abstract and Introduction Abstract and Introduction Numerical Methods Numerical Methods Hydrodynamic Bondi Accretion Hydrodynamic Bondi Accretion Magnetized Bondi Accretion Magnetized Bondi Accretion Feedback Via Reconnection-Driven Convection Feedback Via Reconnection-Driven Convection Summary and Conclusions Summary and Conclusions Acknowledgements Acknowledgements Appendix Appendix A. GRMHD Primer and Definitions A. GRMHD Primer and Definitions B. Numerical Set-up B. Numerical Set-up C. Resolution and Initial Condition Study C. Resolution and Initial Condition Study References References REFERENCES Angl´es-Alc´azar, D., Quataert, E., Hopkins, P. F., et al. 2021, ApJ, 917, 53, doi: 10.3847/1538-4357/ac09e8 Anile, A. M. 1989, Relativistic fluids and magneto-fluids: With applications in astrophysics and plasma physics Bisnovatyi-Kogan, G. S., & Ruzmaikin, A. A. 1974, Ap&SS, 28, 45, doi: 10.1007/BF00642237 Bondi, H. 1952, MNRAS, 112, 195, doi: 10.1093/mnras/112.2.195 Booth, C. M., & Schaye, J. 2009, MNRAS, 398, 53, doi: 10.1111/j.1365-2966.2009.15043.x Chatterjee, K., & Narayan, R. 2022, ApJ, 941, 30, doi: 10.3847/1538-4357/ac9d97 Chatterjee, K., Chael, A., Tiede, P., et al. 2023, Galaxies, 11, 38, doi: 10.3390/galaxies11020038 Dav´e, R., Angl´es-Alc´azar, D., Narayanan, D., et al. 2019, MNRAS, 486, 2827, doi: 10.1093/mnras/stz937 Event Horizon Telescope Collaboration, Akiyama, K., Algaba, J. C., et al. 2021, ApJL, 910, L13, doi: 10.3847/2041-8213/abe4de Ferrarese, L., & Merritt, D. 2000, ApJL, 539, L9, doi: 10.1086/312838 Ferri`ere, K. 2020, Plasma Physics and Controlled Fusion, 62, 014014, doi: 10.1088/13616587/ab49eb Fiacconi, D., Sijacki, D., & Pringle, J. E. 2018, MNRAS, 477, 3807, doi: 10.1093/mnras/sty893 Gammie, C. F., McKinney, J. C., & T´oth, G. 2003, ApJ, 589, 444, doi: 10.1086/374594 Gebhardt, K., Bender, R., Bower, G., et al. 2000, ApJL, 539, L13, doi: 10.1086/312840 Grete, P., Dolence, J. C., Miller, J. M., et al. 2023, 37, 465, doi: 10.1177/10943420221143775 Guerra, J. A., Lopez-Rodriguez, E., Chuss, D. T., Butterfield, N. O., & Schmelz, J. T. 2023, AJ, 166, 37, doi: 10.3847/1538-3881/acdacd Guo, M., Stone, J. M., Kim, C.-G., & Quataert, E. 2023, ApJ, 946, 26, doi: 10.3847/1538-4357/acb81e Hopkins, P. F., & Quataert, E. 2010, MNRAS, 407, 1529, doi: 10.1111/j.1365-2966.2010.17064.x Hopkins, P. F., Grudic, M. Y., Su, K.-Y., et al. 2023, arXiv e-prints, arXiv:2309.13115. https://arxiv.org/abs/2309.13115 Igumenshchev, I. V., & Narayan, R. 2002, ApJ, 566, 137, doi: 10.1086/338077 Igumenshchev, I. V., Narayan, R., & Abramowicz, M. A. 2003, ApJ, 592, 1042, doi: 10.1086/375769 Kaaz, N., Murguia-Berthier, A., Chatterjee, K., Liska, M. T. P., & Tchekhovskoy, A. 2023, ApJ, 950, 31, doi: 10.3847/1538-4357/acc7a1 Komissarov, S. S. 1999, MNRAS, 303, 343, doi: 10.1046/j.1365-8711.1999.02244.x Kormendy, J., & Ho, L. C. 2013, ARA&A, 51, 511, doi: 10.1146/annurev-astro-082708-101811 Lalakos, A., Gottlieb, O., Kaaz, N., et al. 2022, ApJL, 936, L5, doi: 10.3847/2041-8213/ac7bed Li, Y., & Bryan, G. L. 2014, ApJ, 789, 153, doi: 10.1088/0004-637X/789/2/153 Magorrian, J., Tremaine, S., Richstone, D., et al. 1998, AJ, 115, 2285, doi: 10.1086/300353 Meszaros, P. 1975, A&A, 44, 59 Michel, F. C. 1972, Ap&SS, 15, 153, doi: 10.1007/BF00649949 Narayan, R., Chael, A., Chatterjee, K., Ricarte, A., & Curd, B. 2022, MNRAS, 511, 3795, doi: 10.1093/mnras/stac285 Narayan, R., Igumenshchev, I. V., & Abramowicz, M. A. 2000, ApJ, 539, 798, doi: 10.1086/309268—. 2003, PASJ, 55, L69, doi: 10.1093/pasj/55.6.L69 Ni, Y., Di Matteo, T., Bird, S., et al. 2022, MNRAS, 513, 670, doi: 10.1093/mnras/stac351 Pen, U.-L., Matzner, C. D., & Wong, S. 2003, ApJL, 596, L207, doi: 10.1086/379339 Penna, R. F., Kulkarni, A., & Narayan, R. 2013, A&A, 559, A116, doi: 10.1051/0004-6361/201219666 Porth, O., Chatterjee, K., Narayan, R., et al. 2019, ApJS, 243, 26, doi: 10.3847/1538-4365/ab29fd Prather, B. S., Wong, G. N., Dhruv, V., et al. 2021, 6, 3336, doi: 10.21105/joss.03336 Quataert, E., & Gruzinov, A. 2000, ApJ, 539, 809, doi: 10.1086/309267 Ressler, S. M., Quataert, E., White, C. J., & Blaes, O. 2021, MNRAS, 504, 6076, doi: 10.1093/mnras/stab311 Ressler, S. M., White, C. J., Quataert, E., & Stone, J. M. 2020, ApJL, 896, L6, doi: 10.3847/2041-8213/ab9532 Ricarte, A., Tremmel, M., Natarajan, P., & Quinn, T. 2019, MNRAS, 489, 802, doi: 10.1093/mnras/stz2161 Ripperda, B., Liska, M., Chatterjee, K., et al. 2022, ApJL, 924, L32, doi: 10.3847/2041-8213/ac46a1 Rosas-Guevara, Y., Bower, R. G., Schaye, J., et al. 2016, MNRAS, 462, 190, doi: 10.1093/mnras/stw1679 Russell, H. R., Fabian, A. C., McNamara, B. R., & Broderick, A. E. 2015, MNRAS, 451, 588, doi: 10.1093/mnras/stv954 Shapiro, S. L., & Teukolsky, S. A. 1983, Black holes, white dwarfs, and neutron stars : the physics of compact objects Shvartsman, V. F. 1971, Soviet Ast., 15, 377 Sijacki, D., Vogelsberger, M., Genel, S., et al. 2015, MNRAS, 452, 575, doi: 10.1093/mnras/stv1340 Talbot, R. Y., Bourne, M. A., & Sijacki, D. 2021, MNRAS, 504, 3619, doi: 10.1093/mnras/stab804 Tchekhovskoy, A., McKinney, J. C., & Narayan, R. 2012, in Journal of Physics Conference Series, Vol. 372, Journal of Physics Conference Series, 012040, doi: 10.1088/1742-6596/372/1/012040 Tchekhovskoy, A., Narayan, R., & McKinney, J. C. 2011, MNRAS, 418, L79, doi: 10.1111/j.1745-3933.2011.01147.x Trott, C. R., Lebrun-Grandi, D., Arndt, D., et al. 2022, 33, 805, doi: 10.1109/TPDS.2021.3097283 Wang, Q. D., Nowak, M. A., Markoff, S. B., et al. 2013, Science, 341, 981, doi: 10.1126/science.1240755 Weinberger, R., Springel, V., Pakmor, R., et al. 2018, MNRAS, 479, 4056, doi: 10.1093/mnras/sty1733 Weinberger, R., Su, K.-Y., Ehlert, K., et al. 2023, MNRAS, 523, 1104, doi: 10.1093/mnras/stad1396 Wellons, S., Faucher-Gigu`ere, C.-A., Hopkins, P. F., et al. 2023, MNRAS, 520, 5394, doi: 10.1093/mnras/stad511 Wong, G. N., Du, Y., Prather, B. S., & Gammie, C. F. 2021, ApJ, 914, 55, doi: 10.3847/1538-4357/abf8b8 Yuan, F., Gan, Z., Narayan, R., et al. 2015, ApJ, 804, 101, doi: 10.1088/0004-637X/804/2/101 This paper is available on Arxiv under CC 4.0 license. This paper is available on Arxiv under CC 4.0 license. Arxiv

All the References That We Used in Our Black Hole Study So You Can Continue to Learn

This paper is available on arxiv under CC 4.0 license.
Authors:
(1) Hyerin Cho (조혜린), Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA;
(2) Ben S. Prather, CCS-2, Los Alamos National Laboratory, PO Box 1663, Los Alamos, NM 87545, USA;
(3) Ramesh Narayan, enter for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA;
(4) Priyamvada Natarajan, Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA, Department of Astronomy, Yale University, Kline Tower, 266 Whitney Avenue, New Haven, CT 06511, USA and Department of Physics, Yale University, P.O. Box 208121, New Haven, CT 06520, USA;
(5) Kung-Yi Su, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA;
(6) Angelo Ricarte, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA;
(7) Koushik Chatterjee, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA. Table of Links Abstract and Introduction Numerical Methods Hydrodynamic Bondi Accretion Magnetized Bondi Accretion Feedback Via Reconnection-Driven Convection Summary and Conclusions Acknowledgements Appendix A. GRMHD Primer and Definitions B. Numerical Set-up C. Resolution and Initial Condition Study References B. NUMERICAL SET-UP B.1. Hydrodynamic Simulation Setup B.2. Magnetohydrodynamic Simulation Setup This paper is available on Arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. Authors: (1) Hyerin Cho (조혜린), Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (2) Ben S. Prather, CCS-2, Los Alamos National Laboratory, PO Box 1663, Los Alamos, NM 87545, USA; (3) Ramesh Narayan, enter for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (4) Priyamvada Natarajan, Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA, Department of Astronomy, Yale University, Kline Tower, 266 Whitney Avenue, New Haven, CT 06511, USA and Department of Physics, Yale University, P.O. Box 208121, New Haven, CT 06520, USA; (5) Kung-Yi Su, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (6) Angelo Ricarte, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (7) Koushik Chatterjee, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA. This paper is available on arxiv under CC 4.0 license. Authors : Authors (1) Hyerin Cho (조혜린), Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (2) Ben S. Prather, CCS-2, Los Alamos National Laboratory, PO Box 1663, Los Alamos, NM 87545, USA; (3) Ramesh Narayan, enter for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (4) Priyamvada Natarajan, Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA, Department of Astronomy, Yale University, Kline Tower, 266 Whitney Avenue, New Haven, CT 06511, USA and Department of Physics, Yale University, P.O. Box 208121, New Haven, CT 06520, USA; (5) Kung-Yi Su, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (6) Angelo Ricarte, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (7) Koushik Chatterjee, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA. Table of Links Abstract and Introduction Abstract and Introduction Numerical Methods Numerical Methods Hydrodynamic Bondi Accretion Hydrodynamic Bondi Accretion Magnetized Bondi Accretion Magnetized Bondi Accretion Feedback Via Reconnection-Driven Convection Feedback Via Reconnection-Driven Convection Summary and Conclusions Summary and Conclusions Acknowledgements Acknowledgements Appendix Appendix A. GRMHD Primer and Definitions A. GRMHD Primer and Definitions B. Numerical Set-up B. Numerical Set-up C. Resolution and Initial Condition Study C. Resolution and Initial Condition Study References References B. NUMERICAL SET-UP B.1. Hydrodynamic Simulation Setup Hydrodynamic Simulation Setup B.2. Magnetohydrodynamic Simulation Setup Magnetohydrodynamic Simulation Setup This paper is available on Arxiv under CC 4.0 license. This paper is available on Arxiv under CC 4.0 license. Arxiv

Introducing Hydrodynamic Simulation Setup and  Magnetohydrodynamic Simulation Setup: What Are They?

This paper is available on arxiv under CC 4.0 license.
Authors:
(1) Hyerin Cho (조혜린), Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA;
(2) Ben S. Prather, CCS-2, Los Alamos National Laboratory, PO Box 1663, Los Alamos, NM 87545, USA;
(3) Ramesh Narayan, enter for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA;
(4) Priyamvada Natarajan, Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA, Department of Astronomy, Yale University, Kline Tower, 266 Whitney Avenue, New Haven, CT 06511, USA and Department of Physics, Yale University, P.O. Box 208121, New Haven, CT 06520, USA;
(5) Kung-Yi Su, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA;
(6) Angelo Ricarte, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA;
(7) Koushik Chatterjee, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA. Table of Links Abstract and Introduction Numerical Methods Hydrodynamic Bondi Accretion Magnetized Bondi Accretion Feedback Via Reconnection-Driven Convection Summary and Conclusions Acknowledgements Appendix A. GRMHD Primer and Definitions B. Numerical Set-up C. Resolution and Initial Condition Study References A. GRMHD PRIMER AND DEFINITIONS This paper is available on Arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. Authors: (1) Hyerin Cho (조혜린), Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (2) Ben S. Prather, CCS-2, Los Alamos National Laboratory, PO Box 1663, Los Alamos, NM 87545, USA; (3) Ramesh Narayan, enter for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (4) Priyamvada Natarajan, Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA, Department of Astronomy, Yale University, Kline Tower, 266 Whitney Avenue, New Haven, CT 06511, USA and Department of Physics, Yale University, P.O. Box 208121, New Haven, CT 06520, USA; (5) Kung-Yi Su, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (6) Angelo Ricarte, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (7) Koushik Chatterjee, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA. This paper is available on arxiv under CC 4.0 license. Authors : Authors (1) Hyerin Cho (조혜린), Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (2) Ben S. Prather, CCS-2, Los Alamos National Laboratory, PO Box 1663, Los Alamos, NM 87545, USA; (3) Ramesh Narayan, enter for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (4) Priyamvada Natarajan, Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA, Department of Astronomy, Yale University, Kline Tower, 266 Whitney Avenue, New Haven, CT 06511, USA and Department of Physics, Yale University, P.O. Box 208121, New Haven, CT 06520, USA; (5) Kung-Yi Su, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (6) Angelo Ricarte, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA; (7) Koushik Chatterjee, Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA and Black Hole Initiative at Harvard University, 20 Garden Street, Cambridge, MA 02138, USA. Table of Links Abstract and Introduction Abstract and Introduction Numerical Methods Numerical Methods Hydrodynamic Bondi Accretion Hydrodynamic Bondi Accretion Magnetized Bondi Accretion Magnetized Bondi Accretion Feedback Via Reconnection-Driven Convection Feedback Via Reconnection-Driven Convection Summary and Conclusions Summary and Conclusions Acknowledgements Acknowledgements Appendix Appendix A. GRMHD Primer and Definitions A. GRMHD Primer and Definitions B. Numerical Set-up B. Numerical Set-up C. Resolution and Initial Condition Study C. Resolution and Initial Condition Study References References A. GRMHD PRIMER AND DEFINITIONS This paper is available on Arxiv under CC 4.0 license. This paper is available on Arxiv under CC 4.0 license. Arxiv

GRMHD Primer and Definitions: Everything You Need to Know

RTV, Indonesia's leading broadcasting network, is thrilled to announce the return of its beloved children's musical theater series, now under the new name "Swish." This highly anticipated revival promises to deliver an enchanting blend of entertainment and education for young viewers nationwide. Originally conceived as a special program to commemorate RTV's third anniversary, "Pesta Sahabat" quickly captured the hearts of audiences with its unique fusion of elements from RTV's cherished children's events, Fun Time and Dubi Dubi Dam. The overwhelming positive response from the community, coupled with the popularity of episodes like "Cinta Indonesia," paved the way for "Friend's Party" to evolve into a full-fledged musical theater series, airing monthly. "Swish" embarked on its musical journey with the debut episode "Ceria Zone," introducing its own theme songs and captivating narratives. From heartwarming tales like "Mother's Love," broadcasted on Mother's Day, to celebratory episodes marking occasions such as Valentine's Day and Kartini Day, the series has resonated deeply with viewers of all ages. In addition to celebrating Indonesia's cultural richness, "Swish" has also paid homage to significant national events, with special episodes commemorating Indonesian Independence Day and National Children's Day. However, the production faced a hiatus in 2020 due to the challenges posed by the COVID-19 pandemic. Now, in response to overwhelming demand, RTV is thrilled to announce the revival of "Swish," promising to reignite the magic for both existing and new audiences. With its vibrant storytelling, catchy tunes, and valuable life lessons, the reimagined series aims to bring joy and inspiration to generations to come. As Indonesia navigates through uncertain times, "Swish" emerges as a symbol of hope and optimism, reaffirming the importance of imagination and creativity in uniting communities. Stay tuned as "Swish" embarks on a new chapter, spreading laughter and learning to every corner of the nation. About RTV: RTV's Musical Theater refers to a theatrical production company or venue that specializes in staging musicals. The acronym "RTV" could stand for a specific theater company or venue, but without more context, it's difficult to determine its exact meaning. However, in the context of the paragraph I provided, "RTV" is simply a placeholder for the name of the theater where "Swish Returns" is being performed. Contact Information:
Email: info@rtv.com
Number: +1 (565) 987-6543 RTV, Indonesia's leading broadcasting network, is thrilled to announce the return of its beloved children's musical theater series, now under the new name "Swish." This highly anticipated revival promises to deliver an enchanting blend of entertainment and education for young viewers nationwide. Originally conceived as a special program to commemorate RTV's third anniversary, "Pesta Sahabat" quickly captured the hearts of audiences with its unique fusion of elements from RTV's cherished children's events, Fun Time and Dubi Dubi Dam. The overwhelming positive response from the community, coupled with the popularity of episodes like "Cinta Indonesia," paved the way for "Friend's Party" to evolve into a full-fledged musical theater series, airing monthly. "Swish" embarked on its musical journey with the debut episode "Ceria Zone," introducing its own theme songs and captivating narratives. From heartwarming tales like "Mother's Love," broadcasted on Mother's Day, to celebratory episodes marking occasions such as Valentine's Day and Kartini Day, the series has resonated deeply with viewers of all ages. In addition to celebrating Indonesia's cultural richness, "Swish" has also paid homage to significant national events, with special episodes commemorating Indonesian Independence Day and National Children's Day. However, the production faced a hiatus in 2020 due to the challenges posed by the COVID-19 pandemic. Now, in response to overwhelming demand, RTV is thrilled to announce the revival of "Swish," promising to reignite the magic for both existing and new audiences. With its vibrant storytelling, catchy tunes, and valuable life lessons, the reimagined series aims to bring joy and inspiration to generations to come. As Indonesia navigates through uncertain times, "Swish" emerges as a symbol of hope and optimism, reaffirming the importance of imagination and creativity in uniting communities. Stay tuned as "Swish" embarks on a new chapter, spreading laughter and learning to every corner of the nation. About RTV: RTV's Musical Theater refers to a theatrical production company or venue that specializes in staging musicals. The acronym "RTV" could stand for a specific theater company or venue, but without more context, it's difficult to determine its exact meaning. However, in the context of the paragraph I provided, "RTV" is simply a placeholder for the name of the theater where "Swish Returns" is being performed. About RTV: Contact Information:
Email: info@rtv.com Number: +1 (565) 987-6543 info@rtv.com

Swish Returns: RTV's Musical Theater Spectacle Makes a Comeback

Beijing, China – RockTree Capital, a leading crypto-native fund and merchant bank headquartered in Beijing, announces the launch of its immersive website, showcasing a futuristic film-noir concept: the Cyberpunk Crypto City. The website’s cutting-edge interactive cityscape represents RockTree's vision where Web3 has become pervasive, fusing technology, finance, and culture. The site, set in the future near the 11th halving of bitcoin, builds on the ideas of the cypherpunk movement, through advocating for the widespread use of decentralization and privacy-enhancing technologies as a route to self sovereignty and freedom for human beings everywhere.  As an early-stage investor and bespoke accelerator in Asia for its portfolio companies, RockTree Capital has been instrumental in geometrically accelerating its investee projects’ go-to-market cycle. https://www.youtube.com/watch?v=NUFuYDJBO4A&embedable=true Through its ultra-localized strategies and grassroots community building initiatives, RockTree has empowered emerging founders and projects to thrive in both East and West markets. Leveraging deep regional relationships with leading crypto institutions, capital collaborators, and Web3 partners, RockTree invests in and accelerates the trajectory of projects from Infrastructure, DeFi, Cross-chain, and the Bitcoin Ecosystem. Founded by visionary investor Omer Ozden and headquartered in Beijing, China, RockTree Capital operates at the nexus of the East & West with a crypto native team that bridges the human, cultural, capital and media gap across these markets. RockTree embodies a truly grassroots approach that unites Eastern and Western crypto markets and benefits its portfolio investments, which include amongst others; dYdX, The Graph, Chainlink, Fantom, Pocket, Maple, Covalent, Axelar, Eclipse, and BEVM. "RockTree focuses on the human aspects of Web3. In addition to unifying the collaboration of top people in Eastern and Western crypto markets, our core strength is identifying the human hallmarks of success for Founders and Team," says Omer Ozden, Founder and Chairman of RockTree Capital. "We utilize advanced behavioral neuroscience methods to determine Founders’ emotional intelligence, execution capabilities and integrity. We prioritize not only technological innovation, but also the individuals behind that innovation, their psychology and levels of consciousness. And we invite those projects into our trusted international ecosystem and methodology, so they can scale rapidly in foreign markets, instead of trying to figure it out organically through trial and error," said Ozden. The Cyberpunk Crypto City website represents RockTree's forward-looking vision decades in the future, where Web3 technology and digital assets penetrate all peoples’ daily lives, and decentralized finance becomes a pervasive consumer product, like soft drinks or chewing gum, allowing true democratization of finance. Visitors to the Cyberpunk Crypto City website will immerse themselves in a retro film-noir homage, with captivating visuals of a cybernetic metropolis of replicants, that is bilingual in English and Chinese, and powered by blockchain technology. Experience the future of finance at RockTree Capital's Cyberpunk Crypto City and join us in shaping the next chapter of Web3 innovation. For media inquiries, please contact: Alisa Loi lisa@rocktreecapital.com About RockTree Capital RockTree Capital is an early stage crypto-native fund and merchant bank based in Beijing, China. Our portfolio companies experience geometric scale in Asian markets through the RockTree Acceleration Program by combining our ultra-localized go-to-market strategies and grassroots long-term community building. RockTree invests into top-tier crypto projects and helps build Decacorns in the areas of Infrastructure, DeFi, Cross-chain and Bitcoin Ecosystem www.rocktreecapital.com https://twitter.com/RockTreeCapital This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here. Beijing, China – RockTree Capital, a leading crypto-native fund and merchant bank headquartered in Beijing, announces the launch of its immersive website, showcasing a futuristic film-noir concept: the Cyberpunk Crypto City. The website’s cutting-edge interactive cityscape represents RockTree's vision where Web3 has become pervasive, fusing technology, finance, and culture. The site, set in the future near the 11th halving of bitcoin, builds on the ideas of the cypherpunk movement, through advocating for the widespread use of decentralization and privacy-enhancing technologies as a route to self sovereignty and freedom for human beings everywhere.  As an early-stage investor and bespoke accelerator in Asia for its portfolio companies, RockTree Capital has been instrumental in geometrically accelerating its investee projects’ go-to-market cycle. RockTree Capital RockTree Capital https://www.youtube.com/watch?v=NUFuYDJBO4A&embedable=true https://www.youtube.com/watch?v=NUFuYDJBO4A&embedable=true Through its ultra-localized strategies and grassroots community building initiatives, RockTree has empowered emerging founders and projects to thrive in both East and West markets. Leveraging deep regional relationships with leading crypto institutions, capital collaborators, and Web3 partners, RockTree invests in and accelerates the trajectory of projects from Infrastructure, DeFi, Cross-chain, and the Bitcoin Ecosystem. Founded by visionary investor Omer Ozden and headquartered in Beijing, China, RockTree Capital operates at the nexus of the East & West with a crypto native team that bridges the human, cultural, capital and media gap across these markets. RockTree embodies a truly grassroots approach that unites Eastern and Western crypto markets and benefits its portfolio investments, which include amongst others; dYdX, The Graph, Chainlink, Fantom, Pocket, Maple, Covalent, Axelar, Eclipse, and BEVM. "RockTree focuses on the human aspects of Web3. In addition to unifying the collaboration of top people in Eastern and Western crypto markets, our core strength is identifying the human hallmarks of success for Founders and Team," says Omer Ozden, Founder and Chairman of RockTree Capital. "RockTree focuses on the human aspects of Web3. In addition to unifying the collaboration of top people in Eastern and Western crypto markets, our core strength is identifying the human hallmarks of success for Founders and Team," says Omer Ozden, Founder and Chairman of RockTree Capital. "We utilize advanced behavioral neuroscience methods to determine Founders’ emotional intelligence, execution capabilities and integrity. We prioritize not only technological innovation, but also the individuals behind that innovation, their psychology and levels of consciousness. And we invite those projects into our trusted international ecosystem and methodology, so they can scale rapidly in foreign markets, instead of trying to figure it out organically through trial and error," said Ozden. "We utilize advanced behavioral neuroscience methods to determine Founders’ emotional intelligence, execution capabilities and integrity. We prioritize not only technological innovation, but also the individuals behind that innovation, their psychology and levels of consciousness. And we invite those projects into our trusted international ecosystem and methodology, so they can scale rapidly in foreign markets, instead of trying to figure it out organically through trial and error," said Ozden. The Cyberpunk Crypto City website represents RockTree's forward-looking vision decades in the future, where Web3 technology and digital assets penetrate all peoples’ daily lives, and decentralized finance becomes a pervasive consumer product, like soft drinks or chewing gum, allowing true democratization of finance. Visitors to the Cyberpunk Crypto City website will immerse themselves in a retro film-noir homage, with captivating visuals of a cybernetic metropolis of replicants, that is bilingual in English and Chinese, and powered by blockchain technology. Experience the future of finance at RockTree Capital's Cyberpunk Crypto City and join us in shaping the next chapter of Web3 innovation. RockTree Capital's Cyberpunk Crypto City RockTree Capital's Cyberpunk Crypto City For media inquiries, please contact: Alisa Loi lisa@rocktreecapital.com lisa@rocktreecapital.com lisa@rocktreecapital.com About RockTree Capital RockTree Capital is an early stage crypto-native fund and merchant bank based in Beijing, China. Our portfolio companies experience geometric scale in Asian markets through the RockTree Acceleration Program by combining our ultra-localized go-to-market strategies and grassroots long-term community building. RockTree invests into top-tier crypto projects and helps build Decacorns in the areas of Infrastructure, DeFi, Cross-chain and Bitcoin Ecosystem www.rocktreecapital.com www.rocktreecapital.com www.rocktreecapital.com https://twitter.com/RockTreeCapital https://twitter.com/RockTreeCapital https://twitter.com/RockTreeCapital This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

RockTree Capital Unveils Cyberpunk Crypto Future in a New Website

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