Physical Sciences and Mathematics Commons^™

Deep Selenium Donors In Zngep2 Crystals: An Electron Paramagnetic Resonance Study Of A Nonlinear Optical Material, Timothy D. Gustafson, Larry E. Halliburton, Nancy C. Giles, Peter G. Schunemann, Kevin T. Zawilski, J. Jesenovec, Kent L. Averett, Jonathan E. Slagle [*]

Faculty Publications

Zinc germanium diphosphide (ZnGeP₂) is a ternary semiconductor best known for its nonlinear optical properties. A primary application is optical parametric oscillators operating in the mid-infrared region. Controlled donor doping provides a method to minimize the acceptor-related absorption bands that limit the output power of these devices. In the present study, a ZnGeP₂ crystal is doped with selenium during growth. Selenium substitutes for phosphorus and serves as a deep donor. Significant concentrations of native defects (zinc vacancies, germanium-on-zinc antisites, and phosphorous vacancies) are also present in the crystal. Electron paramagnetic resonance (EPR) is used to establish the …

Scalable Relational Analysis Via Relational Bound Propagation, Clay Stevens, Hamid Bagheri

School of Computing: Faculty Publications

Bounded formal analysis techniques (such as bounded model checking) are incredibly powerful tools for today’s software engineers. However, such techniques often suffer from scalability challenges when applied to large-scale, real-world systems. It can be very difficult to ensure the bounds are set properly, which can have a profound impact on the performance and scalability of any bounded formal analysis. In this paper, we propose a novel approach—relational bound propagation—which leverages the semantics of the underlying relational logic formula encoded by the specification to automatically tighten the bounds for any relational specification. Our approach applies two sets of semantic rules to …

Editorials For Special Topic "Artificial Intelligence And Future Society"

Bulletin of Chinese Academy of Sciences (Chinese Version)

No abstract provided.

Research On Data Security And International Governance Cooperation Framework In Era Of Artificial Intelligence, Yuanyuan Wei

Bulletin of Chinese Academy of Sciences (Chinese Version)

This study explores the international cooperation framework for data security governance and its implementation pathways from a global governance perspective. First, the study defines the concepts of data security and governance, emphasizing that the core objective of data governance is to ensure the secure flow and effective utilization of data. Second, it analyzes the current fragmentation of the global data governance system, revealing its development trends and challenges under the influence of geopolitics, particularly the tensions and collaborations in key areas such as cross-border data flows. Based on this analysis, the study proposes the concept of the "Embedded Digital Community …

Venture Capital And Its Role In Facilitating Better Development In China's Artificial Intelligence Industry, Randong Yuan

Bulletin of Chinese Academy of Sciences (Chinese Version)

The venture capital (VC) industry plays a crucial role in advancing the development of the artificial intelligence (AI) sector. As a key bridge between technological innovation and industrialization, VC not only provides financial support to AI startups but also empowers them in strategic planning, technological research and development, and market expansion. However, China's VC industry currently faces several challenges in supporting AI development, including an imbalance in the roles of state-owned and private capital, a short-term investment mindset, and the cyclical phenomenon of "herding" and abrupt market exits. These issues hinder the growth trajectories of Chinese AI enterprises and constrain …

Data Engineering: Building Software Efficiency In Medium To Large Organizations, Alessandro De La Torre

Whittier Scholars Program

The introduction of PoetHQ, a mobile application, offers an economical strategy for colleges, potentially ushering in significant cost savings. These savings could be redirected towards enhancing academic programs and services, enriching the educational landscape for students. PoetHQ aims to democratize access to crucial software, effectively removing financial barriers and facilitating a richer educational experience. By providing an efficient software solution that reduces organizational overhead while maximizing accessibility for students, the project highlights the essential role of equitable education and resource optimization within academic institutions.

Data-Driven Evidence-Based Syntactic Sugar Design, David Obrien, Robert Dyer, Tien N. Nguyen, Hridesh Rajan

School of Computing: Faculty Publications

Programming languages are essential tools for developers, and their evolution plays a crucial role in supporting the activities of developers. One instance of programming language evolution is the introduction of syntactic sugars, which are additional syntax elements that provide alternative, more readable code constructs. However, the process of designing and evolving a programming language has traditionally been guided by anecdotal experiences and intuition. Recent advances in tools and methodologies for mining open-source repositories have enabled developers to make datadriven software engineering decisions. In light of this, this paper proposes an approach for motivating data-driven programming evolution by applying frequent subgraph …

An Assessment On The Influence Of Aridity And Vegetation Cover On Land Surface Temperatures: Case Of Dodoma Urban District, Tanzania, Carolyne Vincent Mbirika

Research, Papers & Creative Work

This study examines the influence of aridity and vegetation cover on land surface temperature (LST) in Dodoma Urban District, Tanzania, a semi-arid environment experiencing rapid urban growth. Using Landsat 9 satellite imagery (30 m resolution) for October 2023, key environmental variables including the Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), and LST were derived and analyzed using ArcGIS Pro. The study applies remote sensing techniques and spatial analysis to examine the relationships between vegetation, moisture availability, and surface temperature patterns. The results reveal substantial spatial variation across the study area, with NDVI values ranging from -0.17 to …

Insights On Further Deepening Carbon Peaking And Carbon Neutrality Strategy And Pathways, Baihe Gu, Donghui Yu, Chen Wang, Yi Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The low carbon transition pathway is a series of goals, technologies, fundings, policies, and other integrated driven system action roadmap. With the deepening of society’s understanding of carbon peaking and carbon neutrality, China’s dual-carbon faces the challenge of systemic advancement of comprehensive deepening implementation. The 20th National Congress of the Communist Party of China once again emphasized that achieving the dual-carbon goal will bring about extensive and profound economic and social systemic changes, and pointed out that based on China’s energy endowment, we should adhere to first establishment and then phase-out and implement the carbon peaking actions in a planned …

A Jwst Survey Of The Supernova Remnant Cassiopeia A, Dan Milisavljevic, Tea Temim, Ilse De Looze, Danielle Dickinson, J. Martin Laming, Robert Fesen, John C. Raymond, Richard G. Arendt, Jacco Vink, Bettina Posselt, George G. Pavlov, Ori D. Fox, Ethan Pinarski, Bhagya Subrayan, Judy Schmidt, William P. Blair, Armin Rest, Daniel Patnaude, Bon Chul Koo, Jeonghee Rho, Salvatore Orlando, Hans Thomas Janka, Moira Andrews, Michael J. Barlow, Adam Burrows, Roger Chevalier, Geoffrey Clayton, Claes Fransson, Christopher Fryer, Haley L. Gomez, Florian Kirchschlager

Michigan Tech Publications

We present initial results from a James Webb Space Telescope (JWST) survey of the youngest Galactic core-collapse supernova remnant, Cassiopeia A (Cas A), made up of NIRCam and MIRI imaging mosaics that map emission from the main shell, interior, and surrounding circumstellar/interstellar material (CSM/ISM). We also present four exploratory positions of MIRI Medium Resolution Spectrograph integral field unit spectroscopy that sample ejecta, CSM, and associated dust from representative shocked and unshocked regions. Surprising discoveries include (1) a weblike network of unshocked ejecta filaments resolved to ∼0.01 pc scales exhibiting an overall morphology consistent with turbulent mixing of cool, low-entropy matter …

Strategic Pattern And Optimization Of China's Eco-Regions During Fifteenth Five-Year Plan Period, Kan Zhou, Jie Fan, Daojing Zhou, Zhedong Qian, Hu Yu, Hanchu Liu, Jian Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Since the implementation of the major function oriented zoning, the ecological space of key ecological functional areas has continuously expanded, with a significant increase in vegetation coverage. Concurrently, there has been a dual change in population dynamics, characterized by a decrease in total population and an increase in the urban population. Furthermore, significant achievements have been made in economic and social development, and there has been a steady improvement in the functions of ecological security barriers, contributing to an alleviation of tension in human-environment relationships. During the 15th Five-Year Plan period, it is imperative to adhere to the functional orientation …

Evolution, Stage Characteristics And Governance Model Transformation Of China's Low-Carbon Policy, Yigang Wei, Jiawei Shi, Guannan Xu

Bulletin of Chinese Academy of Sciences (Chinese Version)

A systematic review of China’s low-carbon policy and paradigm transformation is imperative for establishing a well-designed policy system to achieve the “dual carbon” goals. Based on the theory of policy change, this study constructs an analytical framework of “policy objectives—policy themes—policy fluctuations”. This study uses text mining techniques and policy measurement methods to analyze 1 743 low-carbon policies implemented in China from 2000 to 2021. The study summarizes the stage characteristics and evolutionary path of low-carbon policy development in China, evaluates the contribution of each policy theme at different stages, and portrays the paradigm shift in low-carbon governance. The findings …

Social Order In Age Of Artificial Intelligence, Yongnian Zheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

While the rapid development of artificial intelligence is empowering society, it is also posing serious threats to the continuation of the traditional social order. The "de-intellectualization" function of AI has given rise to the phenomenon of "artificial ignorance", referring to the self-inflicted intellectual harm caused by the uncontrolled and excessive misuse of AI-related tools, thus causing a profound impact on the social order. The technical structural characteristics and governance structural characteristics of AI contributed to the emergence of the phenomenon of "artificial ignorance". The technical structural characteristics of AI can be summarized as highly concentrated capabilities, highly centralized control, highly …

Impact Analysis Of Artificial Intelligence Technology On Employment And Income In China, Yan Lu, Lincui Gui

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the continuous development of artificial intelligence technology, employment and income in China will undergo some new changes. It is necessary to explore the impact of artificial intelligence technology on employment and income distribution. The study finds that in terms of employment, the impact of artificial intelligence includes redefining the number and nature of jobs, affecting work patterns and work skills, and possibly triggering structural imbalances between supply and demand in the labor market, leading to employment inequality, increasing employment risks. In term of income distribution, artificial intelligence technology has a heterogeneous impact on the initial distribution of different fields, …

Open Governance And Innovation Directions Regulation: Research On Institutional Mechanisms For Promoting Development Of Artificial General Intelligence, Yuhao Jiang, Xinyi Zhang, Mingjie Dai

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the field of artificial intelligence development, there is still a certain gap between China and the United States. The uncertain future of artificial general intelligence (AGI) decides that China should not only implement the "catch-up" strategy. Artificial intelligence is not a ‘linear innovation' development path, but there is overlap between basic research, applied research, and industrial transformation. This feature of innovation shows that diversified exploration can be realized based on tracking of international frontiers, breakthrough of basic research, and satisfaction of diverse application needs. China needs to adhere to the promotion of open governance, and regulate innovation directions of …

Study On Constraints And Policy Responses For Production And Circulation Of Ai Training Data In China, Tao Lin

Bulletin of Chinese Academy of Sciences (Chinese Version)

The quantity and quality of training data are critical to the performance of artificial intelligence (AI) models. However, in China, the production of training data is hindered by issues such as insufficient quantity, low quality, and fragmented distribution, compounded by limitations stemming from commercial ecosystems, regulatory frameworks, and restricted development and utilization of public data. To address these challenges, this study proposes several policy recommendations, including incentivizing research institutions to generate open-source datasets, fostering AI application scenarios, adopting a "loose-in, focus-out" regulatory approach, introducing intellectual property exemption provisions, refining personal information protection guidelines, and expediting the establishment of a unified …

New System For Mobilizing Resources Nationwide To Promote Leapfrog Development Of Innovation Ecosystem Of Artificial Intelligence Enterprises: Mechanisms, Problems And Strategies, Yang Mei, Hao Niu, Han Jiang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Facing the unpredictable new features of top-down AI technological innovation and the new requirements on functions, this study proposes to re-examine the technological innovation of AI at the enterprise level from the perspective of the "a new system for mobilizing the resources nationwide" and with the enterprise innovation ecosystem as the carrier. On the basis of explaining the elements and operation logic of the new system at the enterprise level, compared to the "implicit national system" of the US, this study preliminarily compares the new system of AI in China and that in the US. It is proposed that the …

How China Leads Global Governance Of Artificial Intelligence: A Sustainable Development Approach Beyond Technological Competition, Xuanming Pan, Zhenzhen Chen, Shaoshan Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the context of great power competition and escalating geopolitical conflicts, the academic community generally holds a pessimistic view of AI international cooperation, believing that the space is shrinking. This perception mainly stems from conflicts in the cross-border supervision of AI data and algorithms among technologically advanced countries, while overlooking the strong willingness and potential for cooperation in energy conservation and emission reduction through AI technologies shown by Global South countries. Looking into the future of global governance, China, starting from leading the transformation of AI technologies, shall take lead in supporting these countries to transform the sustainable development consensus …

U.S.-Europe Artificial Intelligence Regulatory Cooperation, Divergence, And China's "Window Of Opportunity" For Strategic Breakthrough, Yang Mei, Jing Zeng, Yong Zhan

Bulletin of Chinese Academy of Sciences (Chinese Version)

The United States, Europe, and China have adopted completely different technological development paths in the era of artificial intelligence innovation, forming a model division of "development-driven governance", "stringent governance framework", and "coordinated governance model" The United States and Europe have respectively set strategic goals as "maintaining technological hegemony" and "competing for the soft power of international rules", forming an interactive model in which institutional supervision and industry independence parallel, and cooperation needs and policy divergence coexist. China has contributed a unique technological governance logic of "people-oriented" and "moral-oriented". Faced with the current technological "window of opportunity", China should adopt two …

Significance And Reflection Of Lunar Exploration, Jiaqi Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Although China's lunar exploration project started later than the Soviet Union and the United States, it is the first country to land probes and retrieve samples on both the right side and the reverse side of the Moon. There have been many major breakthroughs in space technology, and many important achievements in scientific research as well. It has extended the life of the Moon for about 1 billion years.

Wild Seahorse Conservation And Industrial Growth Strategies: A Dual-Perspective Study, Shicheng Wang, Bo Li, Lanliang Yu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The United Nations Decade of Ocean Science for Sustainable Development (2021–2030) prioritizes healthy oceans and sustainable development. Protecting marine biodiversity, promoting sustainable fisheries, and achieving global sustainability goals are critical concerns for the international community. This study addresses critical challenges in seahorse conservation and industrial development, including wild resource depletion, limitations in aquaculture technology, low-value industrial chains, and inadequate regulatory coordination. Through systematic analysis of current conservation status and industrial trends, establishing demonstration bases is proposed for seahorse resource protection and high-value utilization ("Hippocampus Hub"), guided by natural habitat integrity, scientific research capacity, industrial chain integration, and policy support. By …

Ai-Powered Learning: Blending Ai With Active Learning In The Information Literacy Classroom, Kevin J. Reagan, Wilhelmina Randtke

Georgia International Conference on Information Literacy

In 2016, the ACRL Framework for Information Literacy in Higher Education launched in response to more voluminous, less-vetted online information, including misinformation and content farms. Subsequently, the ACRL Framework has been widely adopted, and numerous high-quality lesson plans and resources for teaching the frames already exist, including published lesson plans and textbooks. Now, generative AI tools, such as ChatGPT and other chat bots present new challenges for information literacy educators. For instance, in addition to teaching students how to identify issues such as fake news, the information literacy professional has to address topics such as ethical AI use, AI hallucination …

Türkiye's Sustainable Tourism Transformation: An Overview, Mustafa Sogut

GSTC Academic Symposium - In conjunction with the GSTC Global Conference

Türkiye has initiated a paradigm shift in its tourism industry, marked by a collaboration with the Global Sustainable Tourism Council (GSTC), renowned for setting robust sustainability standards. The agreement, initiated in 2022, prioritizes sustainability commitment, commencing with formulating national program criteria and certification bodies training. The initial phase is targeted for completion by the end of 2023, with subsequent stages progressively implemented by 2025, ultimately aiming to meet all international standards by 2030.

This strategic move aims to position Turkey prominently in sustainable tourism, aligning with the goals of The Paris Agreement. Turkey has proactively steered its tourism industry towards …

Evaluating The Effect Of Skipping Ticagrelor Doses And Need For Bolus Doses Upon Treatment Resumption Through Population Pk/Pd Simulation, Hiroyoshi Matsui, Le Thien Truc Pham, Eyob D. Adane

ONU Student Research Colloquium

Ticagrelor (Brilinta (R)) is the first reversibly binding oral P2Y12 receptor antagonist. It is used, mostly in combination with aspirin, in patients with acute coronary syndromes to reduce thrombosis. The manufacturer of ticagrelor recommends discontinuing it at least 5 days before any surgery when possible. While the effect of dose interruptions on the risk of thrombosis is not directly studied, it is important to understand the impact of skipping doses on ticagrelor's PK/PD profile for clinical-decision making. The objectives of the current study were to simulate the impact of therapy interruption on the PK/PD of ticagrelor and examine the need …

Cybersecurity Continuous Learning Towards Fulfilling National Cybersecurity Strategic Plan Mandates, Saleh Hamad Aldaajeh

Thesis/ Dissertation Defenses

This dissertation delves into enhancing cybersecurity education by aligning academic curricula with national cybersecurity strategic plan (NCSP) objectives, emphasizing the crucial role of Higher Education Institutions (HEIs) in developing a skilled cybersecurity workforce. Analyzing ten NCSPs, it identifies strategic themes and gaps between national goals and HEI offerings. The study reviews NCSP guidelines, international cybersecurity indices, and literature, including the NICE-NIST framework, to develop a framework that bridges the educational gap, improving learning outcomes and arming students with vital skills, knowledge, and competencies. Furthermore, it introduces a platform for continuous cybersecurity learning, employing micro-credentials, blockchain technology, and AI-driven systems. Based …

Andrews University Pre-Professional Students Preparedness For A Future With Artificial Intelligence, Zachary Alignay

Honors Theses

Artificial Intelligence technology has advanced considerably over the past four years. With such rapid technological development, the question has to be asked if students are adequately educated on the implications and abilities of artificial intelligence. Are Andrews University pre-professional students prepared for future careers with artificial intelligence? To approach this question, a survey of students across multiple perspectives was conducted to sample if there was a consensus, or lack thereof, on the perception of ethics regarding artificial intelligence, to ask students how using artificial intelligence has changed their education, what purposes it can be used or cannot be used, personal …

Stress Phenotyping Analysis Leveraging Autofluorescence Image Sequences With Machine Learning, Sruti Das Choudhury, Carmela Rosaria Guadagno, Srinidhi Bashyam, Anastasios Mazis, Brent E. Ewers, Ashok Samal, Tala Awada

School of Natural Resources: Faculty Publications

Background: Autofluorescence-based imaging has the potential to nondestructively characterize the biochemical and physiological properties of plants regulated by genotypes using optical properties of the tissue. A comparative study of stress tolerant and stress susceptible genotypes of Brassica rapa with respect to newly introduced stress-based phenotypes using machine learning techniques will contribute to the significant advancement of autofluorescence-based plant phenotyping research.

Methods: Autofluorescence spectral images have been used to design a stress detection classifier with two classes, stressed and non-stressed, using machine learning algorithms. The benchmark dataset consisted of time-series image sequences from three Brassica rapa genotypes (CC …

Subject Analysis Ex Machina: Developing A Subject Heading Recommendation Service For Jmu Libraries, Steven W. Holloway

Libraries

Results of a 2022 evaluation of ANNIF, open-source software designed to generate controlled vocabulary subject headings, using James Madison University Libraries resources.

Analysis Of Circular Design Principles For The Sustainable End-Of-Life Management Of Renewable Energy Assets: Investigation Of Illinois And Germany Renewable Energy Policies And Programs., Samuel N. Nimaful

2024 Student Research and Creativity Conference

This poster presents an analysis into the integration of circular design principles within renewable energy policies, comparing the approaches of Illinois, USA, and Germany. With the global shift towards renewable energy to combat climate change, the sustainable management of end-of-life (EoL) renewable assets has become crucial. The study utilizes a thematic analysis to explore seven key policies from Illinois and five from Germany, employing NVivo software to dissect aspects such as design strategies, support for innovation, and enforcement mechanisms.

A Distinct Radial Acceleration Relation Across The Brightest Cluster Galaxies And Galaxy Clusters, Pengfei Li, Stacy S. Mcgaugh

Faculty Scholarship

Recent studies reveal a radial acceleration relation (RAR) in galaxies, which illustrates a tight empirical correlation connecting the observational acceleration and the baryonic acceleration with a characteristic acceleration scale. However, a distinct RAR has been revealed on brightest cluster galaxy (BCG) cluster scales with a seventeen-times-larger acceleration scale due to the gravitational lensing effect. In this work, we systematically explore the acceleration and mass correlations between dynamical and baryonic components in 50 BCGs. To investigate the dynamical RAR in BCGs, we derived their dynamical accelerations from the stellar kinematics using the Jeans equation through Abel inversion and adopted the baryonic …