Digital Commons Network^™

The Banality Of Evil And Delayed Rehabilitation: Uncovering Post-1965 State Crime Through The Lens Of Decolonial Criminology, Farhan Arif Sumawiharja, S.H., M.Si., M.Krim

Jurnal Kriminologi Indonesia

This study sets out to reconstruct the history and structural repression that followed the 1965–1966 events in Indonesia—events that have long been reduced to a simple “horizontal conflict” between ordinary citizens. Using a socio-historical method, the study examines a wide range of historical literature and documents in order to reframe this violence as a State Crime, seen through the lenses of Critical Criminology and Decolonial Criminology. The findings show that the New Order regime borrowed the tools of subjugation first developed in the colonial era to crush progressive groups—a project that, in essence, served the interests of global capitalism during …

Nasa’S Ecostress Satellite Reveals Widespread Midday Depression In Ecosystem Evapotranspiration, Jingyi Bu, Jingfeng Xiao, Joshua B. Fisher, Yiqi Luo

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Plants often exhibit a midday depression in water use (i.e., transpiration), reflecting a constraint on their ability to sustain maximum water transport, which may occur at the cost of reduced photosynthesis. Eddy covariance observations and geostationary satellites cannot quantify this widespread phenomenon globally while resolving fine-scale spatial variability. Using evapotranspiration measurements from the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) and machine learning, we quantify the global distribution of midday depression in evapotranspiration. Midday depression primarily occurs during peak-growing seasons in temperate zones and dry periods in the tropics, with a morning shift of the peak evapotranspiration time …

Recursive Artificial Intelligence Training And The Homogenization Of Discourse, Sam Hemesath

Political Science Honors Projects

As Large Language Models (LLMs) begin to produce text on the internet, the same repository from which training data for LLMs are scraped, LLMs will start to train on data they produced. What will happen to future models when LLMs are trained on their own text? Scholars have raised concerns about the possibility that LLMs homogenize language and discourse. These concerns are further exaggerated as LLMs begin to infect their own repositories, marking a turn from human-produced training data sets. In this paper I simulate a recursive training loop by prompting a popular open-source LLM with 1000 prompts and using …

Blue Space As Amenity And Disamenity: Disparity In Interstitial Water Bodies, Mara Pirone

Geography Honors Projects

Access to environmental amenities is distributed unevenly across urban areas, often due to discriminatory institutional practices such as redlining and racial covenants. Urban blue spaces (lakes, streams, rivers) can serve as either an environmental amenity or dis-amenity, depending on development and investment strategies. This paper explores how institutional racism, measured by variables such as historic redlining and racial covenant practices, shapes access to blue space as an amenity in the Twin Cities. Our results show that access to large, well-maintained, and well-invested blue space is distributed unevenly. Studying this relationship shows how cities continue to promote environmental injustice in interstitial …

Understanding Familicide: Psychosocial, Behavioral, And Mental Health Risk Factors And Implications For Forensic Behavioral Health Professionals, Molly M. Vogl

Master of Arts in Human Services

Familicide is a rare but devastating form of family violence involving the killing of multiple family members by another family member. Although research examining domestic violence, homicide, and homicide-suicide has expanded, familicide remains less understood due to its low occurrence and complex nature. This capstone examined the psychosocial, behavioral, and mental health risk factors commonly associated with familicide perpetrators and explored how forensic behavioral health professionals may use this information to improve violence risk assessment, prevention, and intervention efforts. A review of peer-reviewed research from academic databases and scholarly search engines identified common themes associated with familicide, including relationship conflict, …

Business Educational Skills For Successful Aviation Fire Officers, Leo Sedlmeyer

All Faculty and Staff Scholarship

Purpose: This paper explored the business educational skills aviation fire officers use to manage airport fire departments.

Design/Methodology/Approach: The methodology was a qualitative phenomenological study design. The participants began with 10 aviation fire officers from airports throughout the USA who were at least 28 years old, in a leadership role, and had at least 10 years of experience as aviation fire officers (Buttenschon, 2016). Saturation was reached at seven during the interview phase. The limitations of this study were gaining participants' trust and obtaining comprehensive information from them.

Findings: Six themes emerged from this study, with the top three identified: …

The Ecological Impacts Of Un-Protecting Forests: The Case Of Gold Mining In Ghana, Tate Alexander Barend

Master's Theses

This paper estimates the causal effect of Ghana’s Legislative Instrument 2462 (L.I. 2462) on deforestation in protected areas. The policy redefined the regulatory regime governing small-scale gold mining in protected areas, moving from prohibition to discretionary permitting. I exploit the implementation of L.I. 2462 as a policy shock and apply a difference-in-differences event-study framework to a propensity score–matched sample of pixels derived from high-resolution satellite images. Contrary to widespread concerns that the policy would accelerate deforestation, the results provide no evidence of large-scale vegetation loss in exposed protected areas following the policy change. Instead, protected area pixels located within 5 …

Teaching Ai Through Communication: Rethinking Evidence, Interaction, And Learning, Chad Edwards, Matthew J. A. Craig, Varun Rijhwani, Habeeb Abdulrauf

Journal of Communication Pedagogy

This conceptual essay advances a central claim: Communication pedagogy is increasingly engaged in teaching AI through communicative interaction. Moving beyond the familiar distinctions between teaching with AI and teaching about AI, it argues that classrooms function as sites where AI communication is shaped through prompting, critique, revision, and ethical evaluation. Drawing on human–machine communication scholarship, the essay reconceptualizes evidence of learning as visible in students’ reasoning, justification, and contextual adaptation rather than in polished outputs. By foregrounding relational engagement, transparency, and communicative judgment, it positions teaching AI as a defining pedagogical task in AI-mediated educational environments.

The Co-Educators Framework: An Illustrative Account Of Shared Pedagogical Practice And Inclusive Teaching In A Large-Enrollment Communication Course, Divya S, Man Luo, Jisha Jacob, Shahla Shahnaz Dyuti, Victoria Michelle Main

Journal of Communication Pedagogy

Large-enrollment courses present structural challenges to inclusive and relational pedagogy, particularly when instructional labor is shared across teaching teams that include graduate teaching assistants (GTAs). This study examines inclusive teaching as a communicative and practical process enacted through co-education, the coordinated instructional work of faculty and GTAs. Using a diary-based reflexive design, four doctoral GTAs contributed teaching journals across one semester of an undergraduate Communication Theory course. Reflexive thematic analysis identified four themes: collaborative course design, communication as pedagogical infrastructure, equitable assessment, and reflexive care. The study offers the Co-Educators Framework as an illustrative account of how shared, communicative pedagogical …

Exploring Power In The Classroom Through The Lens Of Relational Power, Aubree A. Herman, Narissra Maria Punyanunt-Carter Phd

Journal of Communication Pedagogy

This study explores how French and Raven’s relational power model shapes student communication in higher education. Through a survey of 530 undergraduates, the research investigates how TA age and gender, and student gender, impact student perceptions of power. Results indicate that TA gender and age impact student perceptions of referent power, but not expert power; however, expert and referent power emerged as the strongest predictors of course satisfaction and intention to take future courses, while coercive power negatively predicted both outcomes. These findings underscore the importance of expertise and interpersonal interaction in the TA–student relationship and suggest that French and …

Adolescent Depressive Symptoms And Adult Functioning Within Major U.S. Racial Groups, Summer N. A. Millwood

Electronic Theses and Dissertations

Depression is the leading cause of disability among adults in the U.S and is associated with negative short- and long-term social, emotional, economic, and physical health outcomes. Notably, rates of depression among children and adolescents are rapidly increasing across the globe. Depression in youth disrupts crucial developmental processes that can adversely affect concurrent and longitudinal socioeconomic and health outcomes. Although extant research delineates the consequences of adolescent depression for adult functioning (e.g., lower educational attainment, fewer economic resources, worse physical health), studies that examine these associations within racially minoritized populations are scarce. This gap in the literature is especially striking …

A Longitudinal Study Of Achilles Tendon Adaptation In Ncaa Division I Female Gymnasts: Associations With Menstrual Status, Birth Control Use, Pain, Limb Dominance, And Training Exposure, Mattie Jane Hyde

Electronic Theses and Dissertations

This longitudinal study evaluated Achilles tendon (AT) thickness in 22 NCAA Division I (DI) female gymnasts across three consecutive seasons in relation to menstruation, birth control use, pain, limb dominance, training week, and year of collegiate competition. Weekly ultrasound and athlete survey data were analyzed using mixed-effects models for absolute AT thickness and change in thickness from baseline measurements. Associations were primarily characterized by interactions rather than uniform effects of individual predictors. A Pain × Limb Dominance × Week × Year interaction was associated with both thickness outcomes across season-specific and combined analyses, with relationship directions varying by limb, season …

Tool Or Social Actor? How Ai Perception And Interaction Modality Influence Perceived Credibility Of Communicative Ai Over Time, Stefanie H. Klein, Sonja Utz

Human-Machine Communication

People increasingly interact with conversational agents based on artificial intelligence (AI) for a variety of tasks. While these communicative AI (comAI) systems often produce responses that are natural and engaging, the information they provide is not always correct and unbiased. This makes it essential to understand how users perceive the credibility of such systems. Drawing on data from four waves of a longitudinal survey (NT1 = 618, NT4 = 485), we investigated how active users’ perceptions of comAI as a tool or social actor and their primary interaction modality (text vs. voice) influence the credibility perceptions of comAI, both cross-sectionally …

Gender And Task Alignment Influences The Credibility Of Feminine But Not Masculine Ai Conversational Assistants, Joana Videira, David Deandrea

Human-Machine Communication

The present study investigated how the perceived gender of AI conversational assistants and the tasks they perform combine to influence perceptions of AI competence, trustworthiness, and goodwill (i.e., credibility). Participants evaluated AI assistants that appeared female or male and varied in the task they performed (stereotypically feminine or masculine task). Findings did not support an overall preference for female AI assistants over male AI assistants. Rather, perceived AI gender interacted with gender stereotypes associated with the task performed to affect perceptions of AI credibility. Notably, AI perceived to be very feminine had the highest credibility when performing stereotypically feminine tasks …

10 Questions To Fall In Love With A Chatbot: An Experimental Study On Interpersonal Closeness With Large Language Models (Llms), Jessica M. Szczuka, Lisa Mühl, Paula Ebner, Simon Dubé

Human-Machine Communication

Large language models (LLMs), like ChatGPT, are able to compute affectionately nuanced text, which can be deployed in online dating or power artificial companions. This study explores whether people can experience intimate interest and interpersonal closeness toward a potential human or AI partner, based on such text. In a mock matchmaking scenario, 307 participants rated 10 text responses to the Interpersonal Closeness Generation Task from the dating profile of their potential partner, unaware that all were LLM-generated. Surprisingly, the source label (human or AI) had no significant impact on intimate interest and interpersonal closeness. Instead, the perceived quality and human-likeness …

Unexpected Encounters With Spot In The Wild: Sensemaking As Communicative Boundary Work With Robots, Annette Markham, Constanze M. Leeb, Brooke Ann Coco, Daniel Kirby, Lu Liu, Edoardo Lomi, Lucy Thornton, Kelly Ka-Lai Chan, Bradley R. Crammond

Human-Machine Communication

As near-autonomous and AI-embedded robots continue to appear in public settings, their sociality and interactivity is a critical part of the social fabric. This article presents emerging themes from a large-scale ethnographic study of granular-level public interactions between more than 400 people who have an unexpected encounter with Boston Dynamics’ robot “Spot” in a public square in Melbourne. Conceptualizing Spot as a boundary object enables us to highlight patterns of sensemaking as people grapple with ontological disruptions through micro-level interactions; within the self, with other people, or between the self and the robot. Based on thematic analysis of multimedia data …

Techno-Economic Analysis Of Implementing Carbon Capture And Storage (Ccs) At The Punagaya 2×100 Mw Coal Power Plant, Ricky Andreas Kristianto Siringoringo, Rahma Muthia, Widodo Wahyu Purwanto

Journal of Materials Exploration and Findings

The increase in greenhouse gases due to the combustion of fossil fuels is one of the major drivers of global warming and consequently drives the development of low-carbon technologies such as Carbon Capture and Storage (CCS). The aim of this study is to evaluate the technical and economical feasibility of the implementation of CCS technology in the Punagaya Subcritical Coal-Fired Power Plant (CFPP) 2×100 MW as a part of the energy transition strategy towards Net Zero Emissions (NZE) 2060. The simulation was carried out using Aspen HYSYS software, including coal combustion, CO₂ capture through MDEA-PZ solvent, dehydration, transportation, and storage …

The International Adoption Movement From South Korea: A Sociological Analysis Of Its Rise, Fall And Relevance Today For Children’S Rights Issues, Madeline H. Engel

Sociology Between the Gaps: Forgotten and Neglected Topics

No abstract provided.

Pathways And Strategies For Intelligent Economy To Drive High-Quality Development, Yiming Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The intelligent economy is a new economic model driven by artificial intelligence, representing a revolutionary shift in the technological-economic paradigm that promotes qualitative advancement in production factors, production functions, and production models. Through data-driven approaches, human-machine collaboration, cross-sector integration, and co-creation and sharing, the intelligent economy empowers high-quality development. In response to the transformations brought by the intelligent economy in terms of technology, factors, industries, ecosystems, and governance, systematic measures should be taken across scientific innovation, factor allocation, industrial transformation, ecosystem building, and governance systems to foster the emergence of new forms of the intelligent economy and inject strong momentum …

Theoretical Analysis And Promotion Path Of Coordinated Digital-Intelligent And Green Transformation In Manufacturing Industry, Chaokai Xue, Xiaohui Qu, Laijun Wang, Yifan Yang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The coordinated digital-intelligent and green transformation in the manufacturing industry serves as a key lever for accelerating the sector’s progress towards intelligence, greenization, and integration. This study defines the connotation and key characteristics of the coordinated digital-intelligent and green transformation, constructs a theoretical analysis framework, identifies its current status and challenges, and proposes a promotion pathway based on above work. Drawing upon theories from digital economics, environmental economics, and industrial economics, this study develops an analytical framework characterized by scenario-driven dynamics, technology-enabled transformation, organizational collaboration, and environmental support. It further proposes actionable pathways, including enhancing scenario supply capacity, accelerating the …

Global Trends In Coordinated Digital-Intelligent And Green Transformation Of Manufacturing: Experience And Implications, Haiping Zhao, Yaxin Zhao, Lingshuo Song, Ling Jian, Jun Wang, Shuwei Zang, Xiujie Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The coordinated digital-intelligent and green transformation of manufacturing is emerging as a major direction for advancing the transformation and upgrading of the global manufacturing sector and reshaping industrial competitive advantages. This study systematically analyzes the evolution of this transformation worldwide, the transformation pathways adopted by different economies, and the strategic priorities of key industries. It then examines Germany, the United States, and Japan as representative cases to illustrate their respective approaches and practices. Drawing on China’s existing development foundations and current shortcomings, the study puts forward corresponding policy recommendations. The findings reveal that the global coordinated transformation has progressively moved …

Field Research And Policy Recommendations On Coordinated Digital-Intelligent And Green Transformation Of China’S Traditional Manufacturing Industry—Evidence From Key Traditional Manufacturing Industries In Shandong Province, Dingding Xiao, Peng Hui, Shaoni Liu, Xinxin Du, Laijun Wang, Guilong Zhu, Wenbo Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

The coordinated digital-intelligent and green transformation of traditional manufacturing is an important pathway for upgrading traditional industries and accelerating the development of a modern industrial system. Based on field research involving more than 20 representative enterprises in Shandong Province across automobile manufacturing, coal processing, textiles, and petrochemicals, this study systematically examines the practical progress, typical models, major constraints, and policy needs associated with this transformation. The findings show that China’s traditional manufacturing sector is shifting from isolated upgrading to system integration, from production-focused transformation to full life-cycle coordination, and from individual-enterprise initiatives to industrial-chain collaboration. Nevertheless, it still faces insufficient …

Progress, Experience, And Recommendations From Pilot Programs For Coordinated Digital-Intelligent And Green Transformation In Ten Regions Of China, Yingtong Chen, Yupeng Shi, Bin Li, Xue Niu, Qiang Ji, Lin Xiang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Coordinated digital-intelligent and green transformation is an important pathway for advancing high-quality manufacturing development. Focusing on the first batch of comprehensive pilot programs for coordinated digital and green transformation launched in 2023, this study combines literature review, text analysis, and comparative case analysis to examine the practices and phased outcomes of ten pilot regions. It identifies three pathways—digital-enabled green transformation, green-driven digital transformation, and integrated digital-green development—and summarizes key experiences in institutional design, infrastructure restructuring, platform innovation, and tool empowerment. The findings show that the pilot regions have adopted differentiated approaches based on their industrial foundations, resource endowments, and development …

Development Assessment And Strategic Recommendations For Integrated Digital-Intelligent And Green Technology In China’S Manufacturing Industry, Hongyan Zhang, Yuting Peng, Yajing Sun, Peng Zhou, Yanfei Zhao, Xiangjun Yang, Chao Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The manufacturing industry is currently under the dual pressure of coordinated digital–intelligent and green transformation, and promoting the deep integration of these two dimensions has become a strategic choice for enhancing industrial competitiveness. Clarifying the current status and future directions of convergence technologies that integrate digital intelligence and green development can help optimize the coordinated transformation pathways for manufacturing, thereby providing strong support for high-quality economic development. Therefore, this study focuses on the technological foundation underpinning the transformation, delineating the development landscape of integrated digital-intelligent and green technologies in manufacturing industry from a patent perspective. The study analyzes the current …

Pathways For Coordinating High-Quality Exploitation Of Marine Resources And High-Level Protection Of Marine Ecosystems, Jianping Yin, Peimin Duan, Si Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The ocean serves as a vital strategic space and a reservoir of resources essential for human survival and development, offering robust support for socioeconomic progress. Simultaneously, as a critical component of the Earth’s ecological environment, the ocean plays a pivotal role in regulating climate change, conserving biodiversity, and maintaining ecological balance. In recent years, China has continuously intensified the exploitation and utilization of marine resources, with the growth of the marine economy injecting blue momentum into the nation’s development. Nevertheless, the long-term, high-intensity exploitation of offshore resources, coupled with the ongoing advancement into deep-sea resource development, has led to frequent …

Large Models Empowering Cybersecurity: Opportunities And Challenges, Zhuofeng He, Dongbin Hu, Yige Yuan

Bulletin of Chinese Academy of Sciences (Chinese Version)

Cybersecurity serves as a critical pillar for national security and social stability. Large models in cybersecurity are emerging as key enablers for the intelligent transformation of cyber offense and defense systems. As one of the most advanced core technologies in artificial intelligence, large models are introducing new research directions and application paradigms in the cybersecurity domain. This study systematically reviews the current landscape of cybersecurity-oriented large model applications and products, and explores their deployment scenarios in practice. It further analyzes the development trends in model capabilities, industry ecosystems, and trustworthiness, while identifying major practical challenges such as data privacy protection, …

Critical Core Technology Breakthroughs In Large-Scale Models: Industrialization Strategies And Policy Implications, Zhongqi Wu, Yinshan Liu, Tao Dai, Xiaolong Zheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

As a pivotal direction for breakthroughs in key core technologies within the artificial intelligence domain, large-scale models hold strategic significance in securing national scientific and technological sovereignty. This study employs a multidimensional framework encompassing “technological breakthroughs, industrial transformation, and governance policies” to systematically investigate the developmental trajectories and industrialization bottlenecks of large-scale models. At the technological level, while large-scale models exhibit exponential growth in parameter scale and computing power demands, they face critical challenges including the scarcity of high-quality data, insufficient transfer learning capabilities, and reliability-explainability trade-offs. Industrially, these models are reshaping the global industrial chain landscape through a dual-track …

Evolutionary Trajectory Of Ai And Robotics Integration, Jiannan Zhu, Jianfeng Guo, Siyao Liu, Qi Cao

Bulletin of Chinese Academy of Sciences (Chinese Version)

The convergence of artificial intelligence (AI) and robotics is a cornerstone for the intelligent transformation of the physical world. This study conducts a systematic analysis of over 230,000 publications from the Web of Science and WIPO databases between 1982 and 2025 to dissect the evolutionary trajectory of AI and robotics integration since the 20th century. The findings identify four distinct developmental stages—independent exploration, functional coupling, primary intelligence, and intelligent symbiosis—while delineating the key technological breakthroughs and paradigm characteristics of each phase. Furthermore, seven core research thrusts are distilled, including motion planning and autonomous decision-making and perception & environmental understanding. An …

Multiple Secondary Risks Triggered By Rapid Rising Of Groundwater Level And Corresponding Tactics In The North China Plain, Yanjun Shen, Fubao Sun, Congqiang Liu, Fengchang Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

In recent years, following the implementation of the South-to-North Water Diversion Project and comprehensive control of groundwater over-exploitation, coupled with natural factors such as more frequent and intensified extreme rainstorms, the groundwater level at large extent of the North China Plain has stopped declining and even started rising, with gradual recovery of groundwater storage. Nevertheless, the rapid rise in groundwater levels has disrupted the long-standing hydrological-geological-ecological balance shaped by prolonged over-extraction, triggering multiple secondary risks. The rebounding water level markedly exacerbates potential seismic liquefaction hazards at construction sites and raises risks of water seepage, anti-float failure, and structural damage for …

Fintech Enables Regional Economic Growth And Coordinated Development, Xirong Huang, Jichang Dong, Xiuting Li, Zhi Dong

Bulletin of Chinese Academy of Sciences (Chinese Version)

Based on multi-source big data, this study analyzes the current situation and internal logic of fintech enabling regional economic growth and coordinated development in the new development stage, from the aspects of stimulating R&D, promoting talent dividend process, and amplifying regional spillover effect, in view of the current challenges facing China’s regional coordinated development. Then, it analyzes the challenges and problems in fintech-enabled regional coordinated development, including the significant regional fintech gap, obstacles in the effectiveness of fintech in underdeveloped regions, the lack of fintech talents, and the fintech regulation and information protection system need to be improved. Finally, corresponding …