Digital Commons Network^™

Is Fdi A Panacea? Unveiling Spillover Effects On Efficiency And Risk In Indonesian Manufacturing, Fichrie Fachrowi Adli, Dyah Wulan Sari, Dian Enggar Lintang Pertiwi, Mohammad Zeqi Yasin

Bulletin of Monetary Economics and Banking

This study builds on Javorcik (2004), who argues that countries attract Foreign Direct Investment (FDI) with the expectation that spillovers will benefit local firms. However, empirical evidence on this effect remains inconsistent. This research addresses the gap by examining the impact of horizontal spillovers not only on production efficiency but also on production risk. It also accounts for firm heterogeneity in the manufacturing sector by classifying technological intensity using unsupervised machine learning, specifically K-means clustering, into three categories based on OECD (2011): High Technology (HT), Medium Technology (MT), and Low Technology (LT). The study uses data from Statistik Industri (SI) …

Visionarium, June 2026, Full Issue

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

No abstract provided.

Toward A Metric For Disciplinary Learning In The Age Of Ai: The Unblooms™ Metacognitive Awareness Scale And Discernment Rate In Ai-Mediated Learning, Tina R. Austin

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Telling students to “reflect on their own thinking” has become insufficient in AI-mediated learning environments. When students are rewarded for polished outputs, cognitive offloading to AI tools becomes rational, and traditional snapshot assessments (single-moment evaluations of task completion) produce false signals about whether durable learning has occurred. This problem is sharpened by the broader shift in AI learning tools toward Socratic tutors, study modes, Khan Academy's Khanmigo, and agentic systems that can shape the learner’s process over time. Lodge and Loble (2026) distinguish beneficial cognitive offloading, which frees working memory for intrinsic learning, from detrimental outsourcing, which bypasses the cognitive …

Metacognition As Disciplinary Infrastructure In Ai-Mediated Learning, Tina R. Austin, Jason Gulya, Nick Potkalitsky

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Metacognition is often presented as a response to generative AI’s disruption of teaching and learning, yet the term has become too generalized to guide practice. In AI-mediated environments, asking students merely to “reflect on your thinking” is insufficient. Because AI tools can redistribute cognitive labor, their educational value depends on how students use them and whether that use supports disciplinary forms of reasoning. This essay argues that metacognition must be understood as disciplinary infrastructure: students cannot effectively monitor their thinking without understanding the epistemological and ontological demands of the field in which they are working. Classrooms therefore become sites where …

Optimizing Human Capital In Ai-Enabled Architectures: A Systems Constraint And Capability Analysis, Jeremy A. Schlegel, Jennifer Daffinee

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Artificial intelligence (AI) comprises not only models, but full socio-technical systems involving data pipelines, instrumentation, human-machine interfaces, deployment architectures, and organizational processes for design, monitoring, and evaluation. Using a systems-oriented analytical framework, this paper argues that despite accelerating advances in AI capabilities, human capital remains the enduring and dominant system constraint. Human interfaces define throughput limits in areas such as prompt engineering, data-stream curation, adjudication of model outputs, and the orchestration of hybrid automation workflows including robotics, scraping, and digitization. Synthesizing emerging research across human-AI interaction, machine-learning lifecycle management, organizational adoption, and adult learning theory, we present a socio-technical evaluation …

Law Or Flaw: A Double – Blind Study Comparing Student Comprehension Of Real And Ai Generated Legal Case Briefs, Grant Shostak, Nick Wintz, Melissa A. Petkovsek

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

In recent years, the U.S. legal system has seen an increase of legal filings using fictitious court cases or legal propositions generated by artificial intelligence (AI) (Stokel-Walker, 2026). Rules of professional responsibility require that lawyers review filings in which AI was used to ensure their accuracy (Missouri Bar, Office of Legal Ethics Counsel, 2024, Opinion No. 2024‑11) Despite this mandate, filings with fictitious cases and incorrect statements of law are being filed. Besides posing a threat to the parties to an action, such filings may set an unwarranted precedent for future cases. They also tie up court resources searching for …

Disciplining The "Unrestrained" Child Through Moral Rectification: The "Civilizing" Role Of The Us Educational System, Unleashing An Era Of Assimilation, Urnisha Dutta

Impact: A Journal of Community and Cultural Inquiry in Education

Moral education in the US frequently has centered on cultivating “civic sense” and developing citizens who are morally akin to the dominant culture’s ideals. Although implemented as preventive measures (to avoid an otherwise inevitable suspension), these interventions are colored with dominant cultural sentiments that visualize differences as immoral. The idea of disciplining the “unrestrained” child thus aligns with a Western historical “civilizing” mission that aims at creating “moral citizens” through cultural erasure and behavioral transformation. This article discusses the unpleasant reality of moral education in the US educational system, demonstrating an inherent acculturation politics underlying behavior rectification initiatives. The essay …

The Self-Taught Generation: Here’S How Libraries Can Unlock Youth Employment, Jackline Estomihi Kiwelu

Libraries

No Abstract

Soft Korsi: An Embodied Spatial Interior System For Communal Warmth, Faezeh Panahandeh

Graduate Final Projects

ABSTRACT

Soft Korsi: An Embodied Spatial Interior System for Communal Warmth reconceptualizes the historic Iranian Korsi as an innovative textile-based interior system. Traditionally, the Korsi functioned not only as a heating device but also as a spatial, material, cultural, and embodied system, which brought people together around a shared warm focal point. The integration of a heat source, textile coverings, floor seating arrangements, closeness of bodies, and domestic traditions related to warmth made possible a collective experience, rather than an individual or environmental one.

This design project seeks to address the disappearance of the Korsi from contemporary domestic environments as …

The Road To Gerontocracy, Juan David Bohorquez Pacateque, Alonso Morales Sánchez Mejorada, Paul Alexander Villegas Muñoz

Journal of New Finance

The purpose of this article is to develop a reform proposal for current pension systems based on a robust political economy approach. The research is documentary, conducting critical analysis of texts and evidence collection from various pension schemes from a public choice perspective to elaborate a comparative institutional analysis. Pension schemes, being influenced by political processes, are susceptible to adopting institutions that are inefficient, so a politically and economically robust reform is proposed. In conclusion, taking into account that pension systems can be co-opted by the political process, it is not sufficient to propose financially sustainable schemes but also ones …

Academic Year 2026–27 Annual Estimate Of The Strategic Security Environment, Us Army War College

Books, Monographs & Collaborative Studies

The Academic Year 2026–27 Annual Estimate of the Strategic Security Environment provides a framework for those aspiring to tackle the Department of War’s most pressing challenges. This year’s authors highlight trending challenges and identify potential tension points across 10 sections organized under the broad themes of 1) Regional Challenges and Opportunities and 2) Institutional Challenges. This assessment represents the collective expertise of the US Army War College. The narrative is supplemented by a tailored list of 105 command-sponsored questions from 47 different Army and Joint organizations from across the Department of War. Combined, the distinct yet complementary narrative and question …

A Guide To Change Management Using The Sarah Model, Sara Kern, Sarah Barbrow, Sarah Jane Dooley, Sarah E. Lester, Sarah Over

Library Scholarship

Academic libraries are the heart of colleges and universities and, as such, are often centrally involved in and impacted by changes in the greater higher education landscape. For those working in these spaces, familiarity with strategies for managing change is essential to support yourself and others during especially turbulent times. The SARAH model, described below in bullet points with our modifications in brackets, offers a memorable way to understand responses to change, be they our own or others.

S - Shock or Surprise
A – Anger [Anxiety, Alert, or Anticipation]
R – Resistance or Rejection [Re-engagement, or Rationalization]
A - …

A Scoping Review Of Preventive Interventions To Reduce Violence Against Women And Girls In The Islamic Republic Of Iran, Wahiba Abu-Ras, Leena Babiker Idris, Shahira Amin, Ashley Butler, Patricia J. Kelly, Basil H. Aboul-Enein

College of Nursing Faculty Papers & Presentations

In Iran, violence against women (VAWG) remains highly prevalent, with reported rates ranging from 22.9% to 66%, underscoring the need for effective, contextually grounded interventions.   This scoping review aimed to systematically identify, map, and critically appraise intervention strategies addressing VAWG in Iran.   Guided by PRISMA-ScR and the PICOS framework, comprehensive searches were conducted across nine databases from 2000 to September 2024. Eligible studies included intervention-based research conducted in Iran that reported outcomes related to violence reduction, psychological well-being, or empowerment. Thirteen studies met the inclusion criteria.   The included studies demonstrated heterogeneous designs, theoretical frameworks, and outcome measures. Four interventions targeted …

I Will Defend My Self, Emily Ward Hawkins

Theses and Dissertations

This thesis examines caregiving and motherhood as forms of load-bearing infrastructure. Cultural narratives often portray motherhood through sentimental images of joy, tenderness, and devotion, obscuring the structural labor that sustains family life. This project examines maternal labor as a largely unseen system of support that organizes family life while often remaining backgrounded. Caregiving reorganizes time, space, ambition, embodiment, and future orientation within maternal life. Through sculptural works using architectural materials and construction systems, such as oriented strand board, blueprint racks, metal armatures, and graph paper, the project visualizes caregiving as a structural condition. These materials reference the language of architecture …

Pengaruh Intervensi Sigo Terhadap Perbaikan Postur Kerja Dan Penurunan Keluhan Musculoskeletal Disorders Pada Pekerja Sewing Di Cv X Sukoharjo, Sumardiyono Sumardiyono, Tiara Damar Pratiwi, Warda Yussy Rha

National Journal of Occupational Health and Safety

Sewing workers in the garment industry are at high risk of developing non-ergonomic working postures that may lead to musculoskeletal disorders (MSDs), due to prolonged static postures and the use of chairs that are not compatible with workers’ anthropometry. Preliminary surveys indicated complaints of pain in the back, neck, and waist (90%), shoulders and forearms (85%), and upper arms (80%). An ergonomic intervention that can be implemented is the use of ergonomic chairs. This study aims to analyze the effect of using SIGO (Seat Improvement for Garment Operators) as an ergonomic intervention on improving working posture and reducing MSD complaints …

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 …

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 …

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 …

Artificial Intelligence For Cybersecurity: Opportunities, Challenges, And Approaches, Kai Chen, Ding Li, Guozhu Meng, Shouling Ji, Changjiang Li, Yi Yang, Dengguo Feng

Bulletin of Chinese Academy of Sciences (Chinese Version)

Cybersecurity research, institutional structures, and governance policies are undergoing profound transformations. Currently, increasingly covert and rapidly evolving intelligent attacks, coupled with the national urgent expectations for high-level security, are driving significant shifts in the roles and interactions of governments, research institutions, and enterprises. Consequently, this study, based on analyzing the challenges and opportunities of the AI era, explores core application scenarios such as critical information infrastructure protection, national data security, and the maintenance of cyberspace sovereignty. It provides an analysis of artificial intelligence in dimensions such as correlation and causality, and proposes a governance framework, aiming to provide insights for …

Artificial Intelligence For Astronomy: Strategic Opportunities, Policy Challenges And Development Strategies, Jin Chang, Yihan Song, Bing Du, Kefei Wu, Ali Luo, Jifeng Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

To alleviate the bottlenecks hindering the integrated development of artificial intelligence and astronomy in China and to reinforce the country’s strategic edge in science and technology, this study uses systematic analysis and path-comparison approaches to examine the policy requirements for their deep integration. The findings indicate that this topic is closely tied to global competition in science and technology, strategic security, and industrial upgrading. At present, the world has entered a new “astronomy + AI” paradigm, with the United States and the European Union already having taken the lead in establishing corresponding strategic frameworks. Leveraging major scientific infrastructures such as …

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 …

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 …

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 …

Upholding Long-Termism In Basic Research To Shape Leading Advantage Of Automotive Industry, Yubo Lian

Bulletin of Chinese Academy of Sciences (Chinese Version)

General Secretary Xi Jinping has pointed out that basic research is the origin of the entire scientific system and the master switch for all technological issues, emphasizing that it must be advanced with greater efforts and more concrete measures. Upholding long-termism in basic research means placing it at the foundation of the innovation chain and maintaining continuous investment with strategic patience characterized by a long-term horizon and high tolerance for failure. Drawing on the author’s industrial practice, this study systematically reviews the characteristics and roles of basic research throughout the development of China’s new energy vehicle industry. In light of …

Viewpoints On Elevating Capability And Appreciation Of Basic Research, Guojie Li, Wei Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

The overall capability and appreciation of a country’s basic research are not solely determined by the efforts of individual researchers, but also hinge on the country’s scientific and technological institutional mechanisms and policies. This article presents several viewpoints and suggestions from the perspectives of comprehensively and deeply understanding the connotation of basic research, increasing the proportion of investment in basic research, enhancing the stable support for basic research, and the paradigm shift of AI-driven basic research. These suggestions include: by 2030, adjusting the ratio of pure basic research to oriented basic research from 3.5∶6.5 to 4.5∶5.5, maintaining a balance between …

Problem Formation In Basic Research: Historical Evolution And Contemporary Transformation, Jialing Lyu, Ying Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

“Topic selection” in basic research has long been a central issue in S&T and innovation policy. Traditionally, it has often been understood as the processes of designating promising projects from an existing topic list through peer review and procedural evaluation. Nevertheless, major scientific problems do not always preexist within disciplinary systems, nor are landmark scientific discoveries artificially pre-planned in advance. Rather, they gradually emerge through the continuous interaction among national strategic demands, technological evolution, industrial transformation, and major real-world challenges. This study argues that important directions in basic research are often shaped by the sustained pull of real-world problems on …

Leading Big Science Initiative And Boosting Basic Research, Nianzhi Jiao

Bulletin of Chinese Academy of Sciences (Chinese Version)

As a core model for conducting cutting-edge research through global collaboration, major international science initiative (ISI) has comprehensively reshaped the development scope, resource landscape, research paradigms, talent systems, and governance ecosystems of basic research (BR). ISI and BR are deeply integrated and iteratively coordinated, forming a vital strategy for humanity to tackle major global scientific challenges. Against the backdrop of deep intertwining between scientific and technological competition and global governance, China taking the lead in ISI has become a strategic imperative for the new era, with the UN Ocean Decade Program ocean negative carbon emissions (ONCE) serving as a successful …

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, …

Disaster Preparedness, Prevention And Management In Lagos State University Library, Mausi A. Bokoh, Sophia V. Adeyeye Dr, Oluwaseun Adeola Abiodun-Asanre, Mrs

Library Philosophy and Practice (e-journal)

Disasters pose significant threats to human lives, infrastructure, and national socioeconomic development. Effective disaster preparedness, prevention, and management are therefore vital for mitigating their impact and ensuring continuity of operations. This study examined disaster preparedness, prevention, and management practices at Lagos State University Library. A survey research design was adopted, and data were collected through a structured questionnaire covering key aspects of disaster management. Frequency counts, percentages, mean, and standard deviations were used to analyze data.  The findings revealed that the library employs basic preventive strategies such as turning off electricity after work hours and ensuring timely evacuation during emergencies. …

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 …