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“Working the government” Poverty alleviation resettlement in two Yi villages, Sichuan, China

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  Working the Government: Poverty Alleviation Resettlement in Two Yi Villages, Sichuan, China 1. Meaning of the Study “Working the Government” refers to the strategies used by local communities to adapt to, manipulate, or creatively use government policies for their own benefit . In this context, it examines how villagers in two Yi ethnic minority villages in Sichuan province responded to China’s Poverty Alleviation Resettlement (PAR) program . China introduced PAR as part of a national campaign to eliminate extreme poverty by relocating people living in remote or environmentally fragile areas to new settlements with better infrastructure and economic opportunities. These programs reorganize villagers’ lives, housing patterns, and economic activities under government planning. The concept of “working the government” highlights that villagers were not passive recipients of policy. Instead, they actively negotiated, resisted, or creatively used resettlement policies to achieve th...

📊 News Sentiment and DeFi Coin Returns: An Empirical Analysis

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The rapid growth of Decentralized Finance (DeFi) has transformed the global financial landscape by enabling financial services without traditional intermediaries. However, DeFi markets are highly volatile and strongly influenced by public perception. One crucial factor shaping market movements is news sentiment —the tone and emotional polarity conveyed in news articles, social media posts, and financial reports. This study explores how positive, negative, and neutral news sentiment affects DeFi coin returns , offering insights into investor behavior and market efficiency. 🚀 📰 1. Understanding News Sentiment in Financial Markets News sentiment refers to the emotional tone embedded within financial news and media content. Using Natural Language Processing (NLP) and sentiment analysis techniques , researchers classify news as positive, negative, or neutral. Subtopics: Sentiment Analysis Techniques: Machine learning and NLP models used to interpret news tone. 🤖 Data Sources: ...

Microsurgical Treatment of Intracranial Dural Arteriovenous Fistula and Prognosis Analysis

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  Microsurgical Treatment of Intracranial Dural Arteriovenous Fistula and Prognosis Analysis 1. Meaning of Intracranial Dural Arteriovenous Fistula (DAVF) An intracranial dural arteriovenous fistula (DAVF) is an abnormal vascular condition in which arteries directly connect to veins within the dura mater (the outer protective membrane of the brain). Normally, blood flows from arteries to capillaries and then to veins. However, in DAVF, this normal pathway is disrupted, causing blood to flow directly from arteries into veins under high pressure. This abnormal circulation can lead to serious neurological problems such as brain hemorrhage, seizures, headaches, and neurological deficits. DAVFs are often acquired conditions and may result from venous sinus thrombosis, trauma, surgery, or infections. Because of the potential for life-threatening complications, early diagnosis and appropriate treatment are crucial. 2. Introduction to Microsurgical Treatment Microsurgical treatment i...

A Framework for Research on the Automation of Work

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  A Framework for Research on the Automation of Work 1. Meaning of Automation of Work Automation of work refers to the use of technologies such as artificial intelligence (AI), robotics, machine learning, and advanced software systems to perform tasks that were previously carried out by humans. It involves replacing or augmenting human labor with automated systems that can complete tasks faster, more efficiently, and with greater accuracy. Automation can occur in various sectors including manufacturing, healthcare, finance, transportation, education, and service industries. A research framework on the automation of work focuses on understanding how technological systems transform jobs, workplace structures, skills requirements, productivity, and labor markets. Researchers examine the economic, social, and organizational impacts of automation while also exploring policies and strategies to manage these changes responsibly. 2. Introduction The automation of work has become one...

Coevolution of Job Automation Risk and Workplace Governance

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Coevolution of Job Automation Risk and Workplace Governance 1. Meaning The coevolution of job automation risk and workplace governance refers to the interconnected development of automation technologies and the rules, policies, and management structures that regulate workplaces. As technologies such as artificial intelligence, robotics, and machine learning increasingly automate tasks, the risk of job displacement or transformation grows. At the same time, organizations, governments, and institutions develop workplace governance mechanisms —including labor laws, corporate policies, employee protections, and ethical guidelines—to manage these technological changes. The term coevolution highlights that automation and governance evolve together and influence each other . When automation technologies expand rapidly, governance systems adapt to address new risks, while improved governance can guide how automation is implemented responsibly. 2. Introduction In the modern digital econ...

Survey and Taxonomy of Clustering Algorithms in 5G

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  1. Meaning of Clustering in 5G Networks Clustering in 5G networks refers to the process of grouping network nodes—such as user equipment (UE), sensors, or devices—into logical clusters based on certain characteristics like proximity, mobility, communication patterns, or resource requirements. Each cluster typically contains a cluster head (CH) that manages communication among cluster members and coordinates with neighboring clusters or base stations. In a clustered network architecture, nodes within the same cluster communicate with the cluster head, which performs tasks such as data aggregation, resource allocation, load balancing, and routing coordination . Clustering improves network efficiency by organizing large numbers of devices into manageable groups, which is particularly important in ultra-dense 5G environments with billions of connected devices. The main goal of clustering algorithms in 5G is to enhance network scalability, spectral efficiency, fairness, energy eff...