Digital Commons Network^™

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 …

Analysis Of Global Carbon Neutrality Situation And Policy Insights For China, Lina Liu, Jiansheng Qu, Jingjing Zeng, Xiaoyu Song, Qin Liao, Yibo Niu, Yanfei Liu, Bingxue Qin

Bulletin of Chinese Academy of Sciences (Chinese Version)

Achieving the goal of “dual carbon” (carbon peaking and carbon neutrality) will bring comprehensive and profound systematic changes in China’s social economy. By analyzing the global trend of carbon neutrality, it can be seen that the topics of carbon neutrality mainly focus on four aspects: emission reduction categories, key areas, technological innovation, and carbon market construction. At present, China is steadily building a multi-level (national, regional, and enterprise) carbon-neutral policy framework system. In key areas such as energy, industry, transportation, construction, agriculture, and forestry, China not only actively takes practical and effective actions but also vigorously carries out scientific and …

Policy System Of Us Bioeconomy Based On “3ms” Framework, Jingyan Zhou, Nianping Tian, Xuehui Jin, Cuijuan Yin

Bulletin of Chinese Academy of Sciences (Chinese Version)

The United States is a dominant power in the global bioeconomy. An in-depth analysis of its policy system characteristics holds significant reference value for China to further formulate China’s bioeconomy strategy and drive the development of China’s bioeconomy. This study employs the “3Ms” policy analysis framework to conduct a comprehensive analysis of the US bioeconomy policy from three dimensions: macro strategy, meso architecture, and micro structure. The research reveals that the US bioeconomy policy demonstrates the following characteristics in the macro strategy: being systematic, comprehensive, and scientifically decision-making; in the meso architecture: forming government-congressional cooperation and multi-party collaboration; and in …

Co-Dominion: The Changing Nature Of The Adamic Covenant In An Age Of Artificial Intelligence, Corey Hastings

Masters Theses

Theologians and religious bodies attest to the rising influence of artificial intelligence (AI) in governments, the economy, and the lives of the people of God. Through the covenant with Adam, God gave humans the blessing of dominion and capabilities unique to creation to till the earth. Today, humans retain the image of God but AI increasingly displaces human functions with coordinated agency. Using Hebrew language exegesis of passages from Genesis, Exodus, and Leviticus, this study compares capabilities gifted to humans with the scope of current and near future AI models. It incorporates direct artifact analysis of a large-language model as …

Near-Field Acoustic Microscope With Normal Force Metrology Capability, Kacharat Supichayanggoon

Dissertations and Theses

This dissertation introduces quartz tuning fork (QTF) based Shear-force Near-field Acoustic Microscopy (SANM) and Whispering Gallery Acoustic Microscopy (WGAS) systems, upgraded this time with Atomic Force Microscopy (AFM) capability to also monitor the vertical force component involved in shear force interactions. This enhanced system aims at studying nano-sized confined fluids under shear, with an emphasis on finding correlations between the fluid's a) viscoelastic properties and b) near-field acoustic wave emission capability. In the current SANM/WGAS/AFM system addressed here, the confined fluid is constituted by the water meniscus that bridges the gap between the apex of a laterally …

Developing Field And Spaceflight Microscopy, Nikki Johnston

Dissertations and Theses

Designing for spaceflight favors the reduction of unnecessary features and cost-cutting, whether thisbe computation, hardware, or procedure. Resources are spent toward fortification and mission success over convenience. Such design goals paired with the relatively smaller budgets of academia lead us to do as much as we can in-house and use open-source as much as we can without compromising mission success. We also believe that thoroughly testing technology in extreme environments on earth is necessary for the success of a flight instrument. We focus on microscopy for life detection. I have spent my time here learning methods of hand-building microscopes to …

Toward Design-To-Fabrication Continuum For Open-Source Computational Robotic Ecologies In The Post-Anthropogenic Era, Celso Urroz

Electronic Theses and Dissertations 2020 - Present

Computational design and robotic fabrication have expanded architecture’s capacity to coordinate geometry, material behavior, machine operation, and environmental performance. Yet many design-to-fabrication workflows remain structured by industrial logics of separation, standardization, and control. Design is often abstracted from material execution, fabrication is treated as a downstream phase, and robotic systems remain concentrated within specialized or proprietary infrastructures. This dissertation addresses this problem by proposing the design-to-fabrication continuum as an open, transferable, and ecologically situated framework in which computation mediates among design intent, matter, machine, environment, and shared technical knowledge.

The research uses a practice-based methodology combining computational workflow development, material …

Teachers’ Lived-Experiences Enacting Culturally Responsive Teaching: A Transcendental Phenomenological Study, Temy Nguyen Taylor

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to understand the lived experiences of implementing Culturally Responsive Teaching practices during the adoption of the Next Generation Science Standards for science teachers at comprehensive high schools in one district in California. The theory guiding this study was Prochaska’s and DiClemente’s theory on the transtheoretical model of change to understand the phenomena of teachers’ pedagogical decisions in the classroom as they transition to enact culturally responsive teaching (CRT) because of the NGSS. Bandura’s social cognitive theory and Piaget’s social constructivism theory were the educational theories that served as a backdrop for teacher …

Effective Strategies Human Resource Business Leaders Use To Decrease Employee Turnover, Dorothy Norton

Walden Dissertations and Doctoral Studies

Employee turnover continues to be a widespread organizational challenge because it increases recruitment and training costs, disrupts productivity, and negatively affects organizational performance and sustainability. The research problem was that some business leaders lack effective strategies to reduce employee turnover. The purpose of this qualitative pragmatic inquiry project was to explore strategies business leaders use to reduce employee turnover. Herzberg’s two-factor theory served as the conceptual framework for the study. The participants were six business leaders with responsibility for employee retention who successfully implemented employee retention strategies. Data were gathered through semistructured interviews and analyzed using Braun and Clarke’s reflexive …

Treatment Alternatives To Incarceration Program (Taip) Counselor’S Perceptions Of The Effectiveness Of Taip Within West Texas, Patricia Arenas

Walden Dissertations and Doctoral Studies

Substance abuse remains a major challenge in the U.S. probation system, as recidivism persists despite specialized treatment programs such as the Treatment Alternatives to Incarceration Program (TAIP) available in Texas. This issue matters to policymakers, judges, community supervision officers, TAIP administrators, treatment providers, and local communities because decisions about funding, supervision, sanctions, coordination, and service delivery affect rehabilitation outcomes, public safety, and reoffending. This transcendental phenomenological study explored TAIP counselors’ perceptions of the program’s effectiveness in treating substance abuse offenders and reducing recidivism in West Texas. Guided by Husserl’s phenomenology, data were collected through semi structured interviews with four TAIP …

An Analysis Of Artificial Intelligence Systems On The Teaching Of Music Improvisation, Composition, And Instrumental Pedagogy, Carter K. Murphey

Doctoral Dissertations and Projects

Artificial intelligence (AI) has experienced a significant boom in the first half of the 2020s and has significant implications for the fields of music composition, music production, and music education. AI Large language models (LLMs) such as ChatGPT are frequently used sources for students on a wide range of academic subjects, and can provide in-depth, well-informed and eloquently written explanations in a matter of seconds. Music generative AI programs such as Suno and UDIO can almost instantaneously compose and produce musical recordings from word-generated prompts from users. Noise cancelling AI software such as Moises can create isolated instrumental tracks from …

Quiet Ego And Psychological Empowerment In Virtual Knowledge Work, Jazzlin Mouton

Doctoral Dissertations and Projects

This study is an explanatory sequential mixed methods study designed to examine whether a high quiet ego orientation predicts high psychological empowerment in knowledge workers functioning as part of a team in a virtual workspace. The quantitative phase used simple linear regressions to test the hypotheses, followed by a qualitative phase consisting of unstructured interviews and a phenomenological approach to data analysis. Quantitative findings were not significant. Although quiet ego orientation did not predict psychological empowerment or any of its subscales (meaning, competence, self-determination, impact), qualitative findings indicate that individuals with high quiet ego scores consistently demonstrated intentional, prosocial workplace …

The Paradox Of Fear In Scripture: Humanity’S Fear Encounters The Fear Of The Lord, Denise K. Travanti

Doctoral Dissertations and Projects

This research portrays a biblical theology of God’s presence in response to humanity’s natural fear when people are engaged in relationship with him. The Bible is framed with God dwelling with people and the absence of fear at the beginning of their existence and at the end of time in the new heaven and new earth. Fear arrives in the garden with Adam and Eve’s choice for autonomy and their relationship with God, and thus his presence, undergoes a change. From Moses through the Writings and the Prophets, then through the apostles’ experiences conveyed in the Epistles, the reality of …

Exploring Experiences Of Home Education Parents In Homeschool Curriculum Modification: A Transcendental Phenomenological Study, Anne Elizabeth Smoak

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study is to explore the experiences of home education parents modifying the curriculum at their homeschool. The theory guiding this study is the expectancy-value theory, as it shows the connection between attainment value, intrinsic value, and utility value in the context of parents who choose to modify home education. The central research question is as follows: What are the lived experiences of parents modifying curriculum at their homeschool? The examination of these experiences was explored using a qualitative methodology for the research, and the chosen research design for this study is a transcendental phenomenological …

A Christ-Centered Approach To Ai-Assisted Sermon Preparation For Cedar Grove Community Church, Andrew Michael Poe

Doctoral Dissertations and Projects

Artificial intelligence (AI) is rapidly reshaping nearly every sector of society, presenting both opportunities and ethical challenges for Christian ministry. Amid this technological shift, many pastors, Bible teachers, and lay leaders experience ethical uncertainty about the appropriate use of AI in expository preaching and teaching. This Doctor of Ministry action research project developed and evaluated an eight-week training designed to equip the teaching team at Cedar Grove Community Church with a Christ-centered approach to AI-assisted sermon preparation. The purpose of this project was to provide biblical, theological, and practical guidance enabling communicators to leverage AI responsibly without compromising ministerial integrity …

Recommendations To Solve The Problem Of High Levels Of Burnout Among Special Education Teachers At Waite High School In Ohio, Byron Scott Swartz

Doctoral Dissertations and Projects

The purpose of this study was to provide recommendations to solve the problem of high levels of burnout among special education teachers at Waite High School in Ohio. The problem was that 45% of special education teachers at Waite High School reported feeling burned by their current jobs. The rationale for this study was that it was critical to reduce feelings of burnout among special education teachers since improving feelings of burnout may lead to better performance in the classroom teachers and fewer staffing shortages. The central research question was as follows: How can the problem of high levels of …

A Phenomenological Study Exploring Administrators’ Experiences Supporting Career And Technical Education Teacher Self-Efficacy, Korbin T. Shoemaker

Doctoral Dissertations and Projects

The purpose of this hermeneutic phenomenological study was to understand the support of career and technical education teacher self-efficacy development for secondary public-school administrative leaders at West Central Maryland school districts. The theory guiding this study was behavioral leadership theory, as it provided a lens for understanding how leaders’ observable actions and interactions intentionally influence teachers’ confidence and professional growth. The central research question guiding this study was: What are the lived experiences of secondary public school administrative leaders as they support the development of self-efficacy in CTE teachers? This qualitative study utilized a hermeneutic phenomenological design informed by van …

Stem Afterschool Enrichment Programs On Post-Secondary Minority Students In Southern California And Their Educational And Professional Pathway: A Phenomenological Qualitative Study, Lavar Jamaall Watkins

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to describe the lived experiences of ethnically and racially minority students who participated in STEM afterschool enrichment programs at middle schools in Southern California. Guided by social cognitive career theory (SCCT), this phenomenological study addressed how participation in STEM supplemental programming served as a predictive motivator that encouraged ethnically and racially minority students to pursue careers in STEM professions. SCCT provided the theoretical framework for understanding how self-efficacy, outcome expectations, and contextual influences shaped students’ perceptions, motivations, and career decision-making related to STEM. The central research question guiding this inquiry was: What …

Faculty Members' Lived Experiences Using Generative Ai During Course Development At A Midwest Faith-Based Institution Of Higher Education In The United States: A Phenomenological Study, Cassandra J. Huckstep-Spangler

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to explore the lived experiences of course developers using generative AI during course development at a Midwest faith-based institution of higher education in the United States. The theory guiding this study was the Technology Acceptance Model and subsequent extensions to the model including TAM2 and TAM3 as it explores the perceived usefulness and perceived ease of use, contextual factors that align with social influence processes, and experiences with implementation interventions. The central research guiding this study was: What are the experiences of faculty members using generative AI during course development at a …

Quantification Of Uncertainty Propagation For Transient Heat Transfer In A Hollow Sphere, Rama Subba Reddy Gorla, Lochlan Joyce, Elie John Barbari

Faculty Publications

Uncertainty propagation and transient heat transfer for a hollow sphere are analyzed. The stochastic Biot number, stochastic linear non-dimensional initial conditions, and various boundary conditions are introduced to define uncertainty propagation influencing the temperature distribution throughout the hollow sphere. The resulting uncertainty amplitude was observed to have transient evolution in time. The uncertainty can either increase or decrease depending on the stochastic parameters. Results are presented for the variation in temperature due to uncertainties in the initial conditions and particular boundary conditions.