Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Public Affairs, Public Policy and Public Administration

Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 361 - 390 of 28618

Full-Text Articles in Entire DC Network

The Accidental Entrepreneur: How Military Spouses Take Their Careers Into Their Own Hands, Jennifer Barnhill, Rosalinda Maury, Jeanette Harvie Jul 2026

The Accidental Entrepreneur: How Military Spouses Take Their Careers Into Their Own Hands, Jennifer Barnhill, Rosalinda Maury, Jeanette Harvie

Institute for Veterans and Military Families

The Accidental Entrepreneur is the second narrative profile in the Reimagining Military Spouse Employment series, a companion to the initiative's data briefs. Through the story of a mid-career military spouse who builds a business after repeated career disruptions, it examines why many spouses turn to entrepreneurship and what stands in their way. The profile covers the barriers spouses face when starting a business, including access to funding, certifications, and grants, along with the reality that self-employment does not eliminate the military spouse earnings penalty. It offers guidance for military spouses considering entrepreneurship and for the community leaders positioned to support …

Go to article

The Unintended Consequences Of International Student Shortage: Evidence From South Korea, Chung-Yoon Choi, Syngjoo Choi, Seonghoon Kim, Jongkwan Lee Jul 2026

The Unintended Consequences Of International Student Shortage: Evidence From South Korea, Chung-Yoon Choi, Syngjoo Choi, Seonghoon Kim, Jongkwan Lee

Research Collection School Of Economics

We study the role of international students in the higher education sector and the local economy by exploiting a policy reform in South Korea that restricted the admission of foreign students to local universities. By comparing the pre- and post-reform differences across universities with different pre-reform shares of international student enrollment, we show that an international student shortage resulting from this policy reform significantly worsened the financial outcomes of universities and consequently led to reduced investment in their students. We also document that a reduction in the number of international students in local areas decreased native employment, mainly in low-skilled …

Go to article

Mitigating Negative Consequences Of New Urban Growth In Disadvantaged Communities, Shishir Mathur, Christopher E. Ferrell, Cindy Adrian Jul 2026

Mitigating Negative Consequences Of New Urban Growth In Disadvantaged Communities, Shishir Mathur, Christopher E. Ferrell, Cindy Adrian

Mineta Transportation Institute

New housing and development in California are often planned in communities that already face economic hardship, environmental burdens, and limited access to reliable transportation. Recent research finds specifically that in the San Francisco (S.F.) Bay Area and Southern California (SoCal) metropolitan regions, there is a high propensity to plan new urban development in socially, economically, and environmentally disadvantaged communities (DACs) with poor transit accessibility and limited personal mobility. This project first reviews the literature to identify potential unintended negative impacts of high concentrations of new urban growth in DACs across social, economic, educational, environmental, and transportation dimensions. It then identifies …

Go to article

Online Planning Of Power Flows For Power Systems Against Bushfires Using Spatial Context, Jianyu Xu, Qiuzhuang Sun, Yang Yang, Huadong Mo, Daoyi Dong Jul 2026

Online Planning Of Power Flows For Power Systems Against Bushfires Using Spatial Context, Jianyu Xu, Qiuzhuang Sun, Yang Yang, Huadong Mo, Daoyi Dong

Research Collection College of Integrative Studies

A power station or transmission line can be affected due to bushfires, increasing operation costs. We study a fundamental but challenging problem of planning the optimal power flow (OPF) for power systems under bushfires. We develop a model to capture the stochastic nature of bushfire spread based on Moore’s neighborhood model and propose an online optimization modeling framework to sequentially plan power flows in the electricity network. Our framework assumes that bushfire spread is non-stationary over time and that the spread and containment probabilities are unknown. To address these challenges, we develop a contextual online learning algorithm that treats the …

Go to article

Late-Night And Early-Morning Train Scheduling With Non-Traffic Hour Maintenance Window In Urban Rail Transit Systems, Yaochen Ma, Hai Yang, Hai Wang Jul 2026

Late-Night And Early-Morning Train Scheduling With Non-Traffic Hour Maintenance Window In Urban Rail Transit Systems, Yaochen Ma, Hai Yang, Hai Wang

Research Collection School Of Computing and Information Systems

Regular maintenance during non-traffic hours (NTH) is vital for the resilience of urban rail transit (URT) systems, yet an insufficient NTH maintenance window poses a challenge for URT systems in various cities. For instance, the Hong Kong MTR Corporation has noted that the required NTH maintenance time often exceeds the available window, prompting service adjustments such as earlier late-night closures and/or later early-morning starts. To address this challenge, this study develops an optimal scheduling framework that links late-night and early-morning URT services through the NTH maintenance window requirement to maximize public welfare. A Decoupled Optimization Model (DOM) first derives closed-form …

Go to article

Front Matter Volume 2 No. 2, Editors Note Jun 2026

Front Matter Volume 2 No. 2, Editors Note

Zamani: A Journal of African Historical Studies

This is yet another issue of the Zamani journal which takes on varied debates and discussions of historical importance through the contributions to the issue. As we embark on volume three of the new journal’s series, this volume carries six articles, varied in scope but interesting in terms of contribution and relevance to historical synthesis. As editors, we hope that the articles contained here will be of interest to a wider audience of not only historians but also of allied disciplines, practitioners and the general readership. As we publish this volume, we also note the advantage of expanding the scope …

Go to article

Performance Of Buffer Zones In Tanzania: A Case Of Maswa Game Reserve, 1950s-2010s, James Benedict Kuboja Jun 2026

Performance Of Buffer Zones In Tanzania: A Case Of Maswa Game Reserve, 1950s-2010s, James Benedict Kuboja

Zamani: A Journal of African Historical Studies

National parks as core protected areas are universally regarded as the most important wildlife conservancies as they are protecting pristine nature or untouched wilderness. For this reason, global conservationists, with the assistance of colonial governments, introduced buffer zones in a bid to protect important protected areas from poaching and habitat destruction. Despite the promulgation of these buffer zones from the 1950s, scholars have not exhaustively evaluated their effectiveness in the conservation of wildlife resources within core protected areas and wildlife ecosystems at large. Using the case of Maswa Game Reserve in the Serengeti Mara Ecosystem, this article argues that internal …

Go to article

Historicising Nyerere’S Presidency In The Nyakyusa Mythical Narratives, Ignas Fedeo Jun 2026

Historicising Nyerere’S Presidency In The Nyakyusa Mythical Narratives, Ignas Fedeo

Zamani: A Journal of African Historical Studies

Julius K Nyerere, the founding President of Tanzania, held office from 1962 to 1985. Much has been written about Nyerere's presidency, with the literature generally falling into two categories: strong advocacy for his decisions, actions, and ideas, and pointed criticism against him. Using narrative and new historicism theories, this article examines the recreation of the history of Nyerere’s presidency in local narratives, specifically Nyakyusa myths. The myths were collected using the oral history interviews from Kyela and Busokelo districts in Tanzania. The Nyakyusa believe that Nyerere was endowed with immense mystical powers, some of which embedded in his stick and …

Go to article

Śaṅkha-Dvīpa And The Swahili Littoral: Reconstructing India–East Africa Contacts Before The Common Era, Narendra Vijayasimha Jun 2026

Śaṅkha-Dvīpa And The Swahili Littoral: Reconstructing India–East Africa Contacts Before The Common Era, Narendra Vijayasimha

Zamani: A Journal of African Historical Studies

This article is the first focused attempt to explore India–East Africa relationships in the Bronze Age and early Iron Age, approximately two to three millennia before the Common Era (3000–300 BCE) from a puranic perspective. While extensive scholarship exists on medieval and later Indo–African exchanges, the pre-Common Era period has remained underexplored. Drawing on Purāṇic cosmographies, Greco-Roman geographical accounts, African archaeology, and Indian Ocean trade studies, this research reconstructs possible networks of contact facilitated by monsoon navigation and long-distance exchange. Methodologically, the article integrates textual exegesis, comparative cosmography, and archaeological correlation. The findings suggest that Indian conceptions of Śaṅkha-dvīpa reflect …

Go to article

Labour Migrancy And Ethnic Stereotypes: Experiences From Mufindi Tea Plantation, Ca. 1920s To 2000s, Hezron R. Kangalawe Jun 2026

Labour Migrancy And Ethnic Stereotypes: Experiences From Mufindi Tea Plantation, Ca. 1920s To 2000s, Hezron R. Kangalawe

Zamani: A Journal of African Historical Studies

While tea plantations brought good fortunes to some parts of Southern Highlands in Tanzania such as Mufindi and Rungwe during the British mandate, its production sites became centres of ethnic contestations in relation to work discipline. The colonial and post-colonial enterprises labelled some ethnic groups as “reliable labourers” and others “unreliable”. This article, uses the tea plantations in Mufindi district, Iringa, to debate the labour question and ethnic identity in tea plantations between 1920s and 2000s. It argues that tea plantations were practical point of colonial stereotyping whose architects were anthropologists. Interviews in Mufindi tea plantations and factories, archival and …

Go to article

Collaboration In The Spread Of Missionary Christianity In Africa: The Case Of The Apostolic Church Of Nigeria, Caleb Abiodun Adeleye, Oluwasegun Peter Aluko Jun 2026

Collaboration In The Spread Of Missionary Christianity In Africa: The Case Of The Apostolic Church Of Nigeria, Caleb Abiodun Adeleye, Oluwasegun Peter Aluko

Zamani: A Journal of African Historical Studies

This article explores the significance of collaboration in the spread of missionary Christianity in Africa through a historical study of The Apostolic Church of Nigeria (TACN). It examines how the partnership between British missionaries and Nigerian leaders produced a hybrid mission model that combined Western ecclesiastical structure with African spirituality. Drawing on historical records, church documents, and existing scholarship, the article adopts a narrative–analytical method to trace how figures such as Pastors George Perfect, Idris J Vaughan and DO Odubanjo negotiated issues of theology, finance and cultural identity. The study finds that collaboration initially fostered institutional growth and doctrinal development …

Go to article

Expanding The Cognitive Attentional Standards Platform Through Artificial Influence Assessment (Aia): Rationale, Development, And Measurement Design, Delante Clark Jun 2026

Expanding The Cognitive Attentional Standards Platform Through Artificial Influence Assessment (Aia): Rationale, Development, And Measurement Design, Delante Clark

Graduate Scholarship and Creative Works

Artificial intelligence is increasingly shaping how individuals access information, make decisions, and interact with digital environments. The Cognitive Attentional Standards Platform (C.A.S.) was developed to assess attention related harms, cognitive safety, digital autonomy, and platform influence across digital systems (Clark, 2026). However, the growth of generative AI, conversational agents, and algorithmic decision support technologies has introduced new forms of influence that may not be fully captured by existing assessment domains. This paper proposes the Artificial Influence Assessment (AIA) as an expansion of the C.A.S. framework designed to measure AI mediated influence on cognition, behavior, autonomy, and information processing. Drawing on …

Go to article

Examining The Impact Of Transformational Change To Modernize Federal Government Records, Michael Lloyd Jun 2026

Examining The Impact Of Transformational Change To Modernize Federal Government Records, Michael Lloyd

Walden Dissertations and Doctoral Studies

No abstract provided.

Go to article

Governance Success Factors In The Nglanggeran Sustainable Tourism Village, Indonesia, Dwi Kristanti, Hartuti Purnaweni, Ida Hayu Dwimawanti, Teguh Yuwono Jun 2026

Governance Success Factors In The Nglanggeran Sustainable Tourism Village, Indonesia, Dwi Kristanti, Hartuti Purnaweni, Ida Hayu Dwimawanti, Teguh Yuwono

The Qualitative Report

Our qualitative case study examines the dynamics of governance in the Nglanggeran Tourism Village, Yogyakarta—a recipient of various national and international awards for sustainable tourism. Through in-depth interviews with 15 stakeholders, field observations, document analysis, and focus group discussions, we identified five key interrelated factors in governance success: (1) community participation and empowerment, (2) transformative leadership, (3) multi-stakeholder collaboration, (4) adaptive strategic planning, and (5) integrated socio-ecological resource management. Our research's significance lies in analysing how these factors interact dynamically in specific socio-cultural contexts to produce adaptive and resilient governance systems. The findings contribute to a theoretical understanding of sustainable …

Go to article

U.S. Service Member To Counseling Student, Nicole Marie Arcuri-Sanders, Kellie Forziat-Pytel Jun 2026

U.S. Service Member To Counseling Student, Nicole Marie Arcuri-Sanders, Kellie Forziat-Pytel

Educational Sciences and Organizations

This qualitative descriptive study examines the absence of military career pathways for licensed mental health counselors (MHCs) and the impact of this structural limitation on service members' career transitions. Findings indicate that both combat and non-combat veterans pursued mental health counseling due to personal service-related mental health experiences and dissatisfaction with available care while in service. Despite these challenges, many participants expressed a strong desire to continue serving their country as professional counselors. Over half of the participants reported separating from the military because no occupational role existed for licensed MHCs. At the same time, most indicated they would have …

Go to article

Higher Education Administrators’ Perceptions Of The Influence On The Social Construction Of Disability And Institutional Antidiscrimination Policies, Pamela A. Kasyan-Howe Jun 2026

Higher Education Administrators’ Perceptions Of The Influence On The Social Construction Of Disability And Institutional Antidiscrimination Policies, Pamela A. Kasyan-Howe

Walden Dissertations and Doctoral Studies

No abstract provided.

Go to article

Artificial Intelligence Empowers Particle Physics And Nuclear Physics: From Fundamental Research To Major Applications, Yifang Wang, Yuan He, Yao Huang, Wanbing He, Yi Jiao, Congqiao Li, Ke Li, Beijiang Liu, Yingqi Ma, Yugang Ma, Longgang Pang, Fazhi Qi, Sichao Tan, Chunpeng Wang, Meng Wang, Xiaoheng Xu, Xing Xu, Zhentang Zhao, Yingxun Zhang, Zhengde Zhang, Hongwei Zhao, Lina Zhao Jun 2026

Artificial Intelligence Empowers Particle Physics And Nuclear Physics: From Fundamental Research To Major Applications, Yifang Wang, Yuan He, Yao Huang, Wanbing He, Yi Jiao, Congqiao Li, Ke Li, Beijiang Liu, Yingqi Ma, Yugang Ma, Longgang Pang, Fazhi Qi, Sichao Tan, Chunpeng Wang, Meng Wang, Xiaoheng Xu, Xing Xu, Zhentang Zhao, Yingxun Zhang, Zhengde Zhang, Hongwei Zhao, Lina Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Particle physics and nuclear physics are core foundational disciplines for exploring the fundamental structure of matter and the origin of the universe. The deep integration of artificial intelligence (AI) technology is providing entirely new pathways to address systemic challenges such as the processing of massive amounts of multimodal data, the realization of extreme experimental conditions, bottlenecks in theoretical calculations, and the intelligent control of large-scale scientific facilities. The article systematically elaborates on how AI deeply empowers particle physics and nuclear physics, particularly in major application scenarios such as research on the fundamental structure and origin of mass of matter, the …

Go to article

Consolidating Chemical Substance Creation Capability Through Ai For Science-Enabled Innovation Equity, Mengchu Jin, Wandong Wang, Jun Zhang, Yi Luo, Zaiku Xie, Jinlong Yang, Jun Jiang Jun 2026

Consolidating Chemical Substance Creation Capability Through Ai For Science-Enabled Innovation Equity, Mengchu Jin, Wandong Wang, Jun Zhang, Yi Luo, Zaiku Xie, Jinlong Yang, Jun Jiang

Bulletin of Chinese Academy of Sciences (Chinese Version)

AI for Science (hereinafter referred to as AI4S) is driving profound changes in the paradigm of scientific research. Chemistry, as a central discipline for creating new substances and supporting major national strategic needs such as energy, health, dual carbon goals, advanced manufacturing, and ecological governance, is an important application scenario of AI4S. At present, innovation in the discipline of chemistry by young researchers still faces knowledge silos, capability silos, and resource silos: the accumulation of professional knowledge requires years of effort, frontier knowledge is highly differentiated, experimental capabilities are difficult to reuse, and high-end resources are difficult to coordinate, which …

Go to article

Artificial Intelligence-Enabled Materials Innovation: Implementation Levels And Strategic Layout, Ziwei Zhao, Fengxiang Zhou, Yanglili Zhou, Can Wang, Pei Zhang, Weihua Wang Jun 2026

Artificial Intelligence-Enabled Materials Innovation: Implementation Levels And Strategic Layout, Ziwei Zhao, Fengxiang Zhou, Yanglili Zhou, Can Wang, Pei Zhang, Weihua Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Materials innovation has long been constrained by vast design spaces, complex processing routes, lengthy validation cycles, and difficulties in engineering translation. Traditional research and development models, which mainly rely on accumulated experience, theoretical deduction, and experimental trial and error, have become increasingly insufficient to meet the demand for rapid breakthroughs in critical materials. In recent years, artificial intelligence has been increasingly integrated into materials design, synthesis, and processing, characterization, evaluation, optimization, and application feedback, promoting the transformation of materials innovation from experience-driven exploration to data-driven development and from discrete trial and error to closed-loop optimization. Based on an analysis of …

Go to article

Artificial Intelligence Empowering Space Science—Case Study Of Space Weather, Chi Wang, Hui Li, Bingxian Luo, Fang Shen, Jingjing Wang, Lingqian Zhang, Yi Yang, Dong Zhao Jun 2026

Artificial Intelligence Empowering Space Science—Case Study Of Space Weather, Chi Wang, Hui Li, Bingxian Luo, Fang Shen, Jingjing Wang, Lingqian Zhang, Yi Yang, Dong Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Space science is currently confronted with a triple challenge: the explosive growth of observational data, the strongly coupled cross-scale nature of physical processes, and the increasingly urgent national strategic demands. The limitations of traditional research paradigms in analytical efficiency, forecast accuracy, and autonomous capability hinder their effectiveness in meeting critical requirements such as safeguarding on-orbit satellites and ensuring the successful execution of major space missions. This study proposes a three-layer “perception–cognition–decision-making” architecture for intelligent space science. Taking space weather—a domain with strong operational relevance—as a representative case, the four-dimensional paradigm transformation driven by artificial intelligence is systematically examined across key …

Go to article

Artificial Intelligence Empowering Remote Sensing: Challenges, Paradigms And Strategic Layout, Jiayuan Shen, Peirui Cheng, Zhirui Wang, Wei Liang, Xian Sun, Yirong Wu Jun 2026

Artificial Intelligence Empowering Remote Sensing: Challenges, Paradigms And Strategic Layout, Jiayuan Shen, Peirui Cheng, Zhirui Wang, Wei Liang, Xian Sun, Yirong Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Remote sensing science and technology, as a key discipline for Earth observation and global change research, faces systemic challenges in processing massive multi-source data, accurately extracting complex information, and delivering high-timeliness application services. The rapid advances in artificial intelligence (AI) provide a new opportunity to address the deep-seated dilemma in remote sensing of being “data-rich but insufficient in effective information mining”. Guided by a problem-oriented approach, this study first systematically analyzes the core challenges facing the development of remote sensing across four dimensions: data understanding, technical methods, scientific mechanisms, and application ecosystems. It then reviews the technical evolution of AI-empowered …

Go to article

Artificial Intelligence For Deep Earth Science: Key Challenges, Major Application Scenarios And Development Pathways, Qingyun Di, Liang Zhao, Yikang Zheng, Zhi Geng, Zhichao Yu, Xiaocai Shan, Chao Li, Zhiyao Xu, Pengfei Lv Jun 2026

Artificial Intelligence For Deep Earth Science: Key Challenges, Major Application Scenarios And Development Pathways, Qingyun Di, Liang Zhao, Yikang Zheng, Zhi Geng, Zhichao Yu, Xiaocai Shan, Chao Li, Zhiyao Xu, Pengfei Lv

Bulletin of Chinese Academy of Sciences (Chinese Version)

Deep Earth science is central to understanding Earth’s internal architecture and the coupled evolution of its major spheres, while also underpinning energy security, the supply of critical mineral resources, and resilience to major geohazards. Nevertheless, the advancement of deep Earth science is currently hindered by insufficient in situ observations under extreme conditions, the difficulty of integrating multi-source heterogeneous data, and the limited capability to model complex multiphysics coupling processes. Recent advances in artificial intelligence offer a potential route beyond these limitations. By integrating data-driven learning with physical and geological understanding, AI is reshaping deep Earth science from empirical interpretation to …

Go to article

Logic And Path Of Transformation Reform Between Old And New Research Evaluation Models, Fang Xu, Xiaoxuan Li Jun 2026

Logic And Path Of Transformation Reform Between Old And New Research Evaluation Models, Fang Xu, Xiaoxuan Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

The national 15th Five-Year Plan once again emphasizes breaking the four-only criteria. Why is it so difficult to dismantle the four-only criteria? This study argues that an in-depth analysis of the underlying logical relationship between the old label-based evaluation model and the new connotation-oriented quality evaluation model is required to address this question. The study finds that the label-based evaluation model is a rational choice under specific historical circumstances and it has delivered positive effects. During the transition toward connotation-oriented quality evaluation, problems concerning indicators such as academic papers have been well resolved. Nevertheless, national science and technology awards and …

Go to article

On Crucial Role Of The Spirit Of Chinese Scientists In Basic Research, Xin Wang, Chuanxi Wang, Changpu Sun Jun 2026

On Crucial Role Of The Spirit Of Chinese Scientists In Basic Research, Xin Wang, Chuanxi Wang, Changpu Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

Basic research is the source of original innovation and the foundation for building a strong nation in science and technology. Compared with applied development research and engineering research, basic research is primarily concerned with exploring the frontiers, proposing new concepts, discovering new laws, and establishing new theories. Its outcomes are often difficult to predict in advance and are rarely subject to sufficient experimental and practical verification within a short time frame. These characteristics expose basic research to three inherent challenges in the philosophy of science. First, the experimental verification of fundamental theories often requires a long period of time. Second, …

Go to article

Artificial Intelligence Empowered Biological Research: Paradigm Shifts, Application Scenarios, And Strategic Layout, Xinguang Zhu, Yiming Bao, Zhenong Jin, Xin Li, Sijia Wang, Yueming Wang, Yungui Yang, Cao Xu, Yan Xiong, Bin Han Jun 2026

Artificial Intelligence Empowered Biological Research: Paradigm Shifts, Application Scenarios, And Strategic Layout, Xinguang Zhu, Yiming Bao, Zhenong Jin, Xin Li, Sijia Wang, Yueming Wang, Yungui Yang, Cao Xu, Yan Xiong, Bin Han

Bulletin of Chinese Academy of Sciences (Chinese Version)

Life related processes are characterized by high dimensionality and multi-scale properties. Understanding mechanisms underpinning life processes helps promote national healthcare, agricultural development, sustainable ecological civilization, and national security. Current life science research is confronted with an enormous challenge of dimensionality stemming from data explosion and data fragmentation, for which the recent rapid advancement of artificial intelligence (AI) provides novel solutions. AI will catalyze a paradigm shift in life science research from the current experiment based empirical induction to a new closed-loop knowledge acquisition including large scale data collection, model building, model prediction, experimental validation, and iterative of these procedures. Life …

Go to article

Artificial Intelligence–Driven Paradigm Transformation In Biopharmaceutical R&D: Applications And Emerging Scenarios, Lili Liu, Mingyue Zheng, Ye Yuan, Xutong Li, Rong Fan, Wei Wei, Jinxin Zhao, Guobin Qi, Hua Yue, Likun Gong, Songping Zhang, Jiachen Li, Yuchen Sun, Xiaoyan Chen, Yao Chen, Xin Liu, Xiao Zhang, Yuehong Gao, Jianfeng Li, Kaixian Chen, Guanghui Ma, Jianmin Yue Jun 2026

Artificial Intelligence–Driven Paradigm Transformation In Biopharmaceutical R&D: Applications And Emerging Scenarios, Lili Liu, Mingyue Zheng, Ye Yuan, Xutong Li, Rong Fan, Wei Wei, Jinxin Zhao, Guobin Qi, Hua Yue, Likun Gong, Songping Zhang, Jiachen Li, Yuchen Sun, Xiaoyan Chen, Yao Chen, Xin Liu, Xiao Zhang, Yuehong Gao, Jianfeng Li, Kaixian Chen, Guanghui Ma, Jianmin Yue

Bulletin of Chinese Academy of Sciences (Chinese Version)

The biopharmaceutical industry is a critical domain underpinning national scientific and technological innovation development and public health. With the rapid advancement of artificial intelligence (AI) and its deep integration with the life sciences, biomedicine research is undergoing a paradigm shift from traditional experience-driven trial-and-error approaches to data-driven and predictive validation-based models. This study systematically examines the pathways for reshaping research in biomedicine paradigms under the convergence of data-driven, mechanism-driven, and intelligence-driven approaches. It focuses on recent advances in the application of AI across key stages, including drug discovery and design, druggability evaluation, delivery system design and optimization, nonclinical and clinical …

Go to article

Advancing Paradigm Of Quantitative Synthetic Biology And Strengthening Mission-Oriented Basic Research, Chenli Liu Jun 2026

Advancing Paradigm Of Quantitative Synthetic Biology And Strengthening Mission-Oriented Basic Research, Chenli Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Synthetic biology is an important frontier in the life sciences, yet its further development remains constrained by limited capacity for rational design. Quantitative synthetic biology, which iteratively integrates quantitative modeling with the construction and analysis of synthetic systems, offers a promising paradigm for addressing this challenge. In this perspective, the study discusses the background and motivations underlying the emergence of this field and summarizes recent developments and exploratory efforts. Considering the unique characteristics of quantitative synthetic biology, it is suggested that progress in the field may benefit from strategically organized collaborative research that balances mission-oriented goals with investigator-driven exploration. On …

Go to article

Deep Learning Processor: Road To Fundamental Research On Ai Chip, Yunji Chen Jun 2026

Deep Learning Processor: Road To Fundamental Research On Ai Chip, Yunji Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

Deep learning processor chips serve as an important computation foundation for the artificial intelligence industry, thus has attracted widespread attention from the international communities. The Institute of Computing Technology, Chinese Academy of Sciences took the lead in initiating fundamental research on deep learning processor chips in 2008. At that time, this research direction had not yet entered the mainstream vision of the international communities, with its academic value and development laws yet to gain widespread recognition, and it was confronted with the challenges of three fundamental scientific issues concerning its significance, principle, and architecture.To address the above issues, the research …

Go to article

Ucedd Innovations Lead To Idd Networks’ Driving Change: Envision, Empower, Employ, Suzzanne Freeze, Jean Winsor, Brittany M. Powers, Amy Huppi Jun 2026

Ucedd Innovations Lead To Idd Networks’ Driving Change: Envision, Empower, Employ, Suzzanne Freeze, Jean Winsor, Brittany M. Powers, Amy Huppi

Developmental Disabilities Network Journal

State systems responsible for administering employment services and supports to people with intellectual and developmental disabilities (IDD) must acclimate to changing demands, address new regulations, and continue to meet needs in an era of high workforce turnover and uncertain funding. While improvements have been made across the U.S., there are still far too many individuals seeking meaningful employment and contributory roles in the community who are not supported to achieve those goals. A key success factor is providing publicly funded state systems with the information needed to strategically pivot toward priorities and ensure smooth transitions of organizational change. Our country’s …

Go to article

Factors Influencing Tourist Interest In Walking Tours In The Kota Tua Area, Novi Handayani, Adrian Hartanto Jun 2026

Factors Influencing Tourist Interest In Walking Tours In The Kota Tua Area, Novi Handayani, Adrian Hartanto

Journal of Indonesian Tourism and Policy Studies

This study aims to analyze the extent to which the variables of Attraction, Accessibility, Cost and Tarif, Facilities, and Information contribute to Walking tour Interest, both individually (partially) and collectively (simultaneously).  As previous research states that Indonesia has one of the lowest levels of mobility. The average Indonesian walks only 3513 steps per day, while the recommended daily step count for maintaining good health is 5000. This study uses Multiple Linear Regression Analysis as its analysis method using partial hypothesis testing (t-test) and simultaneous hypothesis testing (f-test).. Data were collected through an online questionnaire distributed via Google Form to …

Go to article

First Prev Next Last