Physical Sciences and Mathematics Commons^™

The International Decade Of Sciences For Sustainable Development: Global Progress And China’S Actions, Lin Wang, Shaofeng Hu, Fan Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The International Decade of Sciences for Sustainable Development (IDSSD, 2024–2033) was officially launched by the United Nations in 2024, with the aim of strengthening and demonstrating the central role of science in achieving the Sustainable Development Goals (SDGs) and advancing the 2030 Agenda for Sustainable Development. This study systematically reviews the development of IDSSD, its governance structure, mechanisms for project solicitation and endorsement, as well as the thematic and regional distribution of endorsed initiatives. On this basis, it assesses China’s current participation and potential opportunities. During the first call for initiatives, IDSSD received 221 proposals from 52 countries, with 109 …

Understanding Key Lssues In Current Artificial Intelligence Development And Governance, Meng Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

At present, as global artificial intelligence advances vigorously, the industry is engaged in intense discussions about the future direction of its development and governance, where certain consensus has been reached alongside notable divergences and controversies. This study focuses on several key contentious issues in the current development and governance of artificial intelligence, analyzes their inherent logic by combining the laws of scientific and technological progress, and puts forward corresponding solutions. Regarding the potential bubble risk, it emphasizes the need to strengthen the application of artificial intelligence in the real economy to channel and guide its development momentum. For the future …

Synergistic Strategies For Regional ‘Zero-Waste City’ Construction, Xiaolong Liu, Zongguo Wen, Yanyan Tang, Xiangwan Du

Bulletin of Chinese Academy of Sciences (Chinese Version)

“Recommendations of the Central Committee of the Communist Party of China for Formulating the 15th Five-Year Plan for National Economic and Social Development” emphasizes deepening cross-administrative cooperation, and improving mechanisms for inter-regional planning coordination, industrial collaboration, and benefit sharing to promote regional linked development. While China’s “zero-waste city” initiative has achieved remarkable results, its long-term sustainability necessitates a shift towards coordinated regional synergy. This requires establishing enduring mechanisms for collaborative solid waste governance that transcend governmental, hierarchical, and departmental boundaries. The ultimate goal is to optimize the allocation of waste treatment resources between neighboring and even non-adjacent regions, foster a …

Clay Minerals Do Not Influence Nitrous Oxide Production Via Denitrification In Simulated Oxygen Minimum Zones, Luke Rein

Dartmouth College Master’s Theses

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It has been proposed that export of organic carbon from the epipelagic zone to the seafloor can be increased by the addition of 20 mg L^{-1 …}

Heavy Metal Contamination In Agricultural Soils And Potential Human Health Risks, Debora Michael Mwenda, Leonard Masesa Jumanne, Daudi Salvius Mgaya, Amos Vincent Ntarisa

Tanzania Journal of Science

Heavy metal contamination in agricultural soils is a growing concern due to potential human health risks via ingestion, dermal contact, and inhalation. However, data on fertiliser-related contamination in rural Tanzanian settings remain limited. This study assessed contamination levels and associated health risks in Kibwabwa village, Iringa, Tanzania. A total of 48 soil samples were collected from eight farms at a depth of 0–15 cm. Concentrations of Cu, Zn, Ni, Cd, Cr, and Pb were determined using Atomic Absorption Spectroscopy (AAS). Health risks were evaluated using chronic daily intake (CDI), hazard quotient (HQ), hazard index (HI), and carcinogenic risk (CR) models …

Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft 2022 Stormwater Evaluation And Maintenance Report (Dated February 27, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft 2024 Stormwater Evaluation And Maintenance Report (Dated February 27, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Microstructural Evolution And Precipitate Control In Boron-Doped Ni-Mn-Ti Shape Memory Alloys Via Thermal Processing, Na Liu, Marcia Ahn, Subrata Ghosh, Dipika Mandal, Bed Poudel, Wenjie Li

Biochemistry, Chemistry & Physics: Faculty Publications

Elastocaloric cooling, which leverages stress-induced phase transformation in shape memory materials, represents a sustainable and energy-efficient alternative to conventional vapor-compression cooling systems. Central to optimizing these materials is understanding how thermal processing history dictates phase formation, microstructure, and thermal properties. In this study, we investigated the (Ni50Mn31.5Ti18)99.8B0.2 compound synthesized via vacuum induction melting and arc melting, followed by water quenching. Induction melting results in needle-like, boron-rich precipitates within the martensite lattice. In contrast, vacuum arc melting promoted precipitate growth at the grain boundaries. The vacuum arc melting sample exhibits ~82% martensite phase fraction, a near-ambient transformation temperature of ~277 K, …

Science And Technology Communication And Construction Of China’S International Discourse System: Strategic Significance, Current Challenges, And Innovative Pathways, Haonan Du, Ting Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Against the backdrop of a new round of scientific and technological revolution with the ongoing restructuring of the global governance system, science and technology have become central to competition in national comprehensive competitiveness and struggles for international discourse power. China’s science and technology have achieved a historic leap from “catching up” to “running alongside” and even “leading in certain areas”, providing solid strength support for the construction of an international discourse system. However, the transformation of scientific and technological advantages into discourse advantages remains insufficient, and the international community holds a dual perception of China’s technological advancements—recognition alongside concerns. The …

Combatting Desertification Scientifically: Where Feasible, Where Necessary, Bojie Fu, Yanxu Liu, Shuai Wang, Yijia Wang, Guipeng Cui, Yue Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

China has made remarkable achievements in combating desertification, achieving “zero net growth” in land degradation. With the goal of scientifically improving the relationship between humans and nature in drylands, the continuous exploration of new concepts, methods, and pathways for scientific desertification control will contribute to advancing the harmony between humans and nature in China’s drylands. Based on the definitions of desertification, ecological restoration baselines, and the contributions of nature to humans, we clarified the scientific implications of “controlling desertification where it is feasible and necessary”. We discussed the shift in China’s desertification prevention and control direction from “humans advancing while …

Construction Of Emerging Contaminants Risk Governance System, Cheng Li, Mingcheng Wang, Chunlei Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Emerging contaminants pose considerable risks to the ecological environment, human health, and social safety. The establishment of an emerging contaminants risk governance system constitutes a crucial component of the national ecological security strategy and the ecological civilization framework in the new era. When examined through the lens of the holistic view of national security and guided by the ecological civilization philosophy of the new era, China’s current efforts in managing emerging contaminants reveal several shortcomings—including a fragmented and incomplete risk management system, as well as preliminary stages in chemical environmental management policies and related technologies. Therefore, grounded in national conditions …

Comparative Study On Ai Talent Cultivation In China And The United States: Strategies And Recommendations, Lexuan Li, Ke Wen, Wenjie Liu, Wei Shen, Zhenguo Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial intelligence (AI), as the core driving force of the new industrial revolution, has become a strategic pillar for enhancing national competitiveness, with the cultivation of AI talent being a decisive factor. This study systematically compares the AI talent cultivation systems of China and the United States from three perspectives: strategic planning, formal education, and practical domains. The findings reveal that the U.S. has continuously and systematically advanced AI talent cultivation plans at the national level, granted institutions substantial autonomy in talent cultivation with deep integration of industry-academia-research collaboration, and established a well-developed AI innovation and entrepreneurship environment. Accordingly, the …

Research And Reflections On Model Of China’S Ai Open-Source Innovation Ecosystem, Yuntao Long, Haibo Liu, Qigang Zhu, Xudong Ren, Yanjun Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Open-source innovation, leveraging its strengths in collective collaboration and agile development, is increasingly becoming a core driver reshaping innovation paradigms and industrial ecosystems in the global artificial intelligence field. As a significant force in global technological development, China is actively promoting technology enterprises, research institutes, universities, and other diverse entities to deeply integrate into the construction of the global AI open-source innovation system through policy guidance, community building, and breakthroughs in large models. Based on the practical experience of building China’s AI open-source innovation ecosystem, this study systematically examines the current development status and challenges. By analyzing the operational models …

Transformation Of Open-Source Innovation Governance Of Large Models, Zhe Wang, Jinsong Cai

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial general intelligence (AGI), represented by large-scale models, is a transformative driver of new-quality productive forces, making the effective construction and governance of open-source innovation commons increasingly critical. Yet traditional open-source models are under strain, and existing commons theories require further development. Model training costs rise exponentially with each iteration, while a sustainable profit cycle from innovation to industrial application has not been established, rendering long-term cost-bearing infeasible for individual organizations. The traditional community-enterprise collaboration model, once successful in generating ecosystem value, now faces escalating computing and data costs, uncertain commercial returns, and governance risks related to social and national …

Research On Signal Perception System Of Key Technology Regulation In The United States, Kaile Wang, Hao Liu, Yunwei Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

The purpose of the study is to analyze the operation mechanism of the key technology control signal perception system, and reveal the deep logic and basic procedures of the United States’ external technical containment. Through literature review and information mining, this study analyzes the structural features of the U.S. key technology control signal perception system, such as “front-end technical perception and technology locking”, “mid-end technical evaluation and risk identification”, and “back-end technical control response and dynamic sanctions”. It further explores the participating subjects and role positioning of the United States in key technology control signal perception, the sources and mechanisms …

From Network Packets To Physical Consequences: Network-Level Spoofing And Loss Of Visibility In Industrial Control Systems, Lillian B. Beck

LSU Master's Theses

Industrial Control Systems (ICS) are the foundation of critical infrastructure as they provide resources like clean water, electricity, and natural gas to support our everyday functions. Given their essential role in modern society, the failure or compromise of ICS systems can lead to significant negative consequences and public safety impacts. Understanding how these systems can be targeted and exploited by malicious actors is necessary to improve their security and resilience.

This research examines how an attacker could manipulate a real-world ICS network by targeting a fully functional Natural Gas (NG) Compressor Station Platform that emulates real operations. This research led …

Recovery And Validation Of Fragmented Rar Files Through The Scalpel3 Application, Thomas L. Landaiche Iii

LSU Master's Theses

A core component of filesystems includes an address table or other means of tracking metadata on where a given file resides within a disk image. This is crucial for regular operation of a computer, or disk analysis in digital forensics. When filesystem information is missing or corrupted, locating saved files on a disk becomes challenging. Whether the disk was accidentally wiped or intentionally tampered with, data still present on the disk, even while untracked, can possibly be recovered beyond what the filesystem registers. File carving in digital forensics is important for these scenarios when data recovery is necessary but address …

Bioclimatic Reorganization Of Carbon–Water–Energy Coupling Revealed By Eddy Covariance And Interpretable Machine Learning, Koong Yi, Margaret S. Torn, Gabriel B. Senay, Lixin Wang, Kosana Suvočarev, Joshua B. Fisher, Arman Ahmadi, Housen Chu, Gil Bohrer, Georgianne W. Moore, Stephen P. Good, Steven A. Kannenberg, Justine E. C. Missik, Kanishka Mallick, Kul Khand, Youngryel Ryu, Kuno Kasak, A. Christopher Oishi, David E. Reed, Xiangzhong Luo, Carl J. Bernacchi, Dennis Baldocchi

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Ecosystem exchanges of carbon, water, and energy are central to Earth system functioning, yet their sensitivities to environmental variability remain poorly constrained across biomes and climates. Here, we analyzed ≥ 5 years of eddy covariance data from 87 AmeriFlux sites (964 site-years) spanning six vegetation types and a broad range of climatic conditions to examine the controls and multi-year trends of gross primary productivity (GPP), evapotranspiration (ET), water-use efficiency (WUE), and the Bowen ratio. We trained boosted regression tree ensembles with environmental (air temperature, vapor pressure deficit, soil water content, atmospheric CO2, radiation, wind speed) and temporal (month, year) variables …

A Taxonomy Of Generative Models With A Focus On Diffusion Models And Denoising Techniques, Aditi Singh, Nikhil Kumar Chatta, Yuvaraj Vagula, Abul Ehtesham, Saket Kumar, Tala Talaei Khoei

Computer Science Faculty Publications

Diffusion models have emerged as a powerful class of generative models, demonstrating impressive results across visual domains such as image and video synthesis. This survey provides a comprehensive taxonomy of generative models, with a particular focus on diffusion models and their applications in enhancing visual fidelity for text-to-image and text-to-video generation. We discuss the theoretical foundations of diffusion models, including their formulation through stochastic differential equations, and analyze the forward noising and reverse denoising processes that enable stable training and high-quality generation. The survey further categorizes diffusion architectures, including pixel-space and latent-space models, and examines their design choices, training strategies, …

Perturbations To Horizontal Gnss Position Time Series By Atmospheric Lee Waves In The San Bernardino Valley, California, Walter Szeliga, Logan Grey

All Faculty Scholarship for the College of the Sciences

Anomalous systematic position offsets have been noted in GNSS time series from a variety of locations around the globe. In many regions, these time series anomalies coincide with the presence of cloud streets in visible satellite imagery, implicating atmospheric lee waves as the source of the position offsets. We report here on seasonal anomalous position offsets from the San Bernardino Basin of southern California that occur during clear skies. Modeling of the troposphere on days with anomalous positions shows the presence of atmospheric lee waves. Ray tracing through these tropospheric models suggests that atmospheric lee waves create low elevation perturbations …

2026 March 19 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Graph Neural Networks Predict Anti-Epileptic Treatment Response In Non-Lesional Infantile Epileptic Spasm Syndrome, Karen K. Wurzel

Master's Theses (2009 -)

Background: With an incidence rate of approximately three out of 10,000 live births, Infantile Epileptic Spasm Syndrome (IESS) is a rare form of epilepsy with about 2,000 to 2,500 new cases in the United States annually. Each year, thousands of infants and families face uncertainty, often requiring multiple medication regimens before finding an effective treatment. This thesis uses pretreatment structural brain connectivity data to train Graph Neural Networks (GNN) to predict antiepileptic drug response in infants with IESS, aiming to reduce the trial-and-error approach and improve care for those with IESS. Method: The dataset used in this thesis contains de-identified …

Heavy Dark Matter In Rapidly Evolving Massive Stars, Sandra Robles, Walter Tangarife, Giogio Busoni

Physics: Faculty Publications and Other Works

We study the impact of heavy dark matter (DM) captured in massive stars via scattering(s) with the star constituents. We focus on the first stars and use stellar evolution simulations to track down how DM capture evolves over time from the zero-age main sequence to the late metal-rich stages of stellar evolution. During the early hydrogen-helium-dominated phase, the capture process is well described by scattering with two targets. As a star evolves, metal production leads to the formation of a dense core surrounded by a lighter envelope. The core significantly enhances the capture of ultra-heavy DM; in this case, three …

Forbidden Induced Restrictions And Unavoidable Minors In Matroids, Matthew P. Mizell

LSU Doctoral Dissertations

Targets are matroids that arise from a nested sequence of flats in a projective geometry. This class of matroids was introduced by Nelson and Nomoto, who found the forbidden induced restrictions for binary targets. In this dissertation, their result is generalized to targets arising from projective geometries over $GF(q)$. In addition, targets arising from nested sequences of affine flats are introduced and the forbidden induced restrictions for these affine targets are determined.

In 1963, Halin and Jung proved that every simple graph with minimum degree at least four has $K_5$ or $K_{2,2,2}$ as a minor. Mills and Turner proved an …

Deadmap: Open Yet Locked—Key-Controlled Dataset Protection With Feature-Level Collisions, Ting Yang, Mahabubur Rahman Miraj, Xinyu Lei, Nankun Mu, Hongyu Huang

Michigan Tech Publications

The performance of deep learning models relies heavily on high-quality datasets. However, under the prevailing paradigm of pretrained-model–based applications, once a dataset is publicly released, data owners largely lose control over how it is used for model training. Existing data protection approaches either focus on post hoc accountability or irreversibly destroy the training utility of the data through perturbations, making it difficult to simultaneously satisfy the dual requirements of offline public sharing, authorized and controllable usage. In this paper, we propose DeadMap, a reversible training usability control framework designed for model fine-tuning scenarios. DeadMap introduces a secret label permutation combined …

A Review Of Satellite-Derived Terrestrial Evapotranspiration: Theories, Methods And Products, Yunjun Yao, Jiquan Chen, Joshua B. Fisher, Changliang Shao, Yuanbo Liu

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Accurately estimating terrestrial evapotranspiration (ET), the second-largest hydrologic flux in the terrestrial water cycle, is vital for understanding global water and carbon exchanges. It is difficult to measure and estimate terrestrial ET at regional and global scales. Satellites have provided us an effective tool to estimate regional and global terrestrial ET in recent decades. In this article, we provide a comprehensive review of the basic theoretical foundations, methods and products of satellite-derived terrestrial ET. The basic theoretical foundations for estimating terrestrial ET are the Monin–Obukhov similarity theory (MOST) and other budding theories (e.g., Maximum entropy production theory, and generalized Hamilton …

Documenting For Success: A Case Study Of A Graduate Writing Retreat, Elliott Rose, Denise Wetzel, Sara C. Kern, Katie O'Hara-Krebs, Laurin Davis, Salah Seoudi, Carmen Cole

Transforming Libraries for Graduate Students

Graduate students often find themselves balancing the demands of research and writing while managing complex academic and personal needs. Writing retreats provide an intentional space for graduate students to focus on their academic goals while supporting community-building, institutional belonging, and a welcoming environment. This proposal outlines a model for academic librarians and staff to plan and implement an effective graduate writing retreat designed to support graduate student academic activities through intentional collaboration and documentation.

Penn State University’s (PSU) Graduate Student Writing Retreat started as an event housed within the University Library’s Science, Technology, Engineering, and Math (STEM) department. The retreat …

Design And Verification Of Manned-Unmanned Collaborative Combat Capability System Based On Mbse, Fangbo Wang, Jian Guo, Chenglie Du, Yifan Liu, Pengpeng Zhang

Journal of System Simulation

Abstract: The traditional model-based systems engineering (MBSE) method has problems of failing to fully exhibit complex combat logics in manned-unmanned collaborative combat system modeling, neglecting the scenario constraints in interface modeling, and requiring long-term and costly algorithm verification. In order to solve the problems, a methodology and design tool based on MBSE was proposed. An integrated verification method of a system's operational logic, interface design, and algorithmic design was constructed, thus providing a digital and rapidly iterative verification approach for system simulation. A verification environment for multiple key algorithm simulations was established, effectively reducing the economic cost of building verification …

Speciation Of Inorganic Arsenic In Oxic And In Reducing Groundwaters Using The As(V)-Selective Impas Resin, Martijn Eikelboom, Jay Bullen, Peter S.K. Knappett, Trevor Ferris, Matthieu Carriere, Alexandra Alvarez, Dario Omanovic, Subhamoy Bhowmick, Aaron Torres Huerta, Ramon Vilar, Jack N. Turney, Paul Lewtas, Dominik Weiss, Pascal Salaun

Research outputs 2022 to 2026

Knowledge of arsenic inorganic speciation in groundwaters is critical for optimising water treatment approaches. Here, we characterise the on-site analytical performance of the As(V)-selective ImpAs ion-exchange resin to separate As(V) from As(III) in groundwater with contrasting redox conditions. Field speciation results obtained by ImpAs in the oxic, Fe-poor groundwaters of Guanajuato (Mexico) and in the reducing, Fe-rich groundwaters of West Bengal (India) agreed with voltammetry (slope of 0.91 ± 0.03, r = 0.99, p <  0.001, n = 21). Like for arsenic, oxyanions of Mo, V, U and Cr are retained by ImpAs but their reduced hydroxy forms are not. High As(V) extraction by ImpAs (>95%) was obtained in synthetic groundwater for hundreds of samples without any regeneration, highlighting negligible interactions of major anions such as sulfate, a major advantage over …

Review Of 3d Human Reconstruction Methods Empowering Vr/Ar, Lisha Zhang, Yuchi Huo, Qi Ye, Anjun Chen, Shihui Guo, Jiming Chen

Journal of System Simulation

Abstract: 3D human reconstruction is critical for VR/AR. Early methods relied on multi-view cameras and depth sensors but were costly. Mid-term approaches using parametric human models enabled efficient single-image reconstruction, while implicit neural representations improved fidelity yet suffered from low efficiency. Currently, 3D Gaussian Splatting achieves high accuracy and real-time rendering as a new paradigm. Challenges include detail distortion and limited generalization, and future development will focus on VR/AR integration.