This paper deeply explores the strategy of how Zhangjiagang City drives leapfrog development with high-quality population development. Through analyzing the current population status and development trend of Zhangjiagang City, the importance of high-quality population development in economic growth, social progress and urban competitiveness improvement is expounded. From multiple dimensions such as education enhancement, employment optimization, talent introduction, population structure improvem...

Geography  Human Geography  Economics 

Organizations ought to manage electronic records efficiently and effectively to achieve quality service delivery. Problems of poor service delivery and corruption in government ministries and public organizations in Kenya have, for a long time, been associated with poor records management. The evolution of e-governance in Kenya underscores the critical role that electronic records management (ERM) plays in enhancing public service delivery Thus, this study aimed at establishing the adequacy of e...

Business Management  Sociology  Managerial Economics  Management Information Systems 

Under the policy guidance of “holistic ideological and political education construction across primary, secondary, and higher education”, legal education—as a core component—faces deep-seated contradictions including fragmented educational stages, superficial value identification, and disjointed resources. Red legal figures, as pioneers of the Communist Party of China’s legal system development, embody political, historical, and educational attributes through their ideas and practices, offering ...

Literature 

Jia Pingwa’s renowned novel Broken Wings, created in 2016, is rich in profound ethnic cultural heritage and is one of the outstanding works of rural literature in the new era of China. It was translated into English by British translator Han Bin in 2019. Since its publication, the English version of the novel has been widely popular in Western countries and has attracted the attention of researchers. This paper aims to analyze the translation of culture-loaded words in Broken Wings. Guided by th...

Culture 

This paper applies Multimodal Discourse Analysis to study the game translation of Black Myth: Wukong. It analyzes the game’s multimodal features from four aspects: culture, context, content, and expression. By examining specific examples, the paper discusses how the game achieves a global expression while retaining the essential characteristics of Eastern culture. This provides new insights for research on game localization and holds significant implications for promoting Chinese cultur...

Literature 

Kansas City initially accumulated strength through trade, relying on its superior port conditions. After the first railway was built into the city, it entered a period of rapid urbanization, with a large number of people flocking to Kansas City in search of development opportunities. To meet housing needs, the government expanded the city scale multiple times. Population mobility and technological progress gave rise to frequent trading activities, which in turn drove economic prosperity and prom...

History 

The balance between individuals’ interest in protecting their private information and the interests of other entities (other individuals, confidants, Internet companies, corporations, and government agencies) has been disrupted in the age of ICTs (Information and Communication Technologies). This paper presents a multi-agent learning model based on Nash Q-learning that simulates the interaction between two competing agents—a defender (a private person) and an attacker (a Large ICT company, such ...

Psychology 

This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data. The simulated dataset integrates gene expression profiles and clinically relevant features, such as age of onset, BMI, comorbidities, treatment response scores, and disease progression markers, thereby mimicking real-world pharmacogenomic and clinical complexities. The primary objective is to assess the feasib...

Machine Learning 

Accurately predicting medication response and disease severity is essential for advancing personalized treatment strategies, especially in complex neuropsychiatric conditions. In this study, we propose a novel multi-task deep learning framework capable of simultaneously predicting both medication response classes and disease severity scores from neuroimaging data. To support this, we generated a high-contrast synthetic 3D neuroimaging dataset comprising 1500 samples, simulating distinct anatomic...

Psychiatry & Psychology 

This study presents a comprehensive clinical decision support system aimed at personalizing antidepressant treatment selection using synthetic patient data, predictive modelling, and reinforcement learning. Traditional antidepressant prescribing often relies on trial-and-error methods, which can result in prolonged patient suffering and delayed treatment success, particularly in treatment-resistant depression. To address the limitations posed by data scarcity and privacy constraints in psychiatr...

Artificial Intelligence  Psychiatry & Psychology