Digital Commons Network^™

Optimal Drought Management Actions For Cattle Operations On The Laguna Pueblo And Zuni Pueblo Indian Reservations, Tatiana Drugova, Kynda R. Curtis, Man-Keun Kim

All Current Publications

In this fact sheet, we examine the drought management options available to cattle operations on the Laguna Pueblo and Zuni Pueblo reservations in New Mexico. Specifically, we discuss the results of a study that evaluated the economic outcomes of two common drought response strategies: herd reduction and supplemental hay purchases. We also provide recommendations for ranchers regarding optimal strategies, i.e., those which would maximize profits, for two rancher types, differentiated by their willingness to accept risk (risk-neutral) or avoid it (risk-averse).

From Ice Queen To Shattered Dream: How The Kamila Valieva Case Sheds Light On The Extreme Vulnerability Of Minor Athletes Involved In Doping Cases, Emma Bertsch

Jeffrey S. Moorad Sports Law Journal (1994 - )

No abstract provided.

Challenging The Raid Boss: Antitrust In Esports, Mason Cole

Jeffrey S. Moorad Sports Law Journal (1994 - )

No abstract provided.

Hold My Beer: First Circuit Ignores Arena Spill Realities In Raheb V. Delaware North, Zen D. Rizzuto-Flancbaum

Jeffrey S. Moorad Sports Law Journal (1994 - )

No abstract provided.

Effects Of A Group Contingency Arrangement Of Synchronous Reinforcement On Disruptive Behavior In Elementary Classes, Gabriela Gomes

LSU Master's Theses

Synchronous schedules of reinforcement are a type of schedule of covarion in which the onset and offset of the response are aligned with the onset and offset of the reinforcer. In this study, we used multiple baseline across classes and reversal designs to determine the effects of a synchronous reinforcement schedule, arranged as a group contingency, on disruptive classroom behavior and time spent following rules during independent work periods in three elementary classrooms: 2 first grade and 1 fourth grade. Additionally, we compared the effects of a synchronous reinforcement schedule with a continuous noncontingent schedule in the fourth-grade classroom. The …

Biology Department Publications: 2025, Sam Lindgren

Biology Department Bibliographies

This document is a non-comprehensive list of publications made by graduate students, post-doctoral researchers, and faculty members in the Biology Department in 2024. It indexes those publications available through PubMed, and serves as an archival record of the Department's robust scholarly contributions.

Implementing Teaching At The Right Level In Primary Schools: A Literature Review, Fendrix Setya Purnawan, Rokhiyani Herlina, Titi Hidayah

Journal of Innovation and Teacher Professionalism

The dynamic development of primary education requires teachers to adopt effective teaching methods. One key factor in improving student learning outcomes is the implementation of appropriate instructional strategies. This study aims to understand and analyze the fundamental principles and core concepts of Teaching at the Right Level (TaRL) as an approach to enhancing the quality of learning. The research uses a descriptive qualitative method with a literature review approach, analyzing 20 relevant studies. TaRL is a learning approach designed to match teaching strategies with students' actual levels of understanding and ability, focusing primarily on foundational literacy and numeracy skills. The …

Tarl Approach As An Innovative Strategy For Ipas Learning In Primary Education, Rahmah Alia Anzani, Rodotul Janah, Indra Darmawan

Journal of Innovation and Teacher Professionalism

This study aims to analyze the implementation of the Teaching at the Right Level (TaRL) approach in IPAS (Science, Environment, and Social Studies) learning, specifically on the topic of the digestive system, in Grade 5 at SD Kanisius Kembaran, Yogyakarta. A descriptive qualitative method was employed, with data collected through interviews with teachers and students, as well as a review of relevant literature. The findings indicate that the TaRL approach positively impacts student learning outcomes, with approximately 60% of students showing improved comprehension and more active engagement. However, the implementation also faces several challenges, such as time management difficulties, limited …

Chemistry Education Undergraduate Students’ Mental Health Issues As Correlate To Their Interest In Chemistry Courses In Southeast Universities, Juliana Nkiru Nnoli, Obikezie Maxwell Chukwunazo, Abumchukwu Angela Adanne

Journal of Innovation and Teacher Professionalism

This study examined the relationship between mental health issues and interest in chemistry courses among Chemistry Education undergraduate students in federal universities in Southeast Nigeria (n = 2500). The research was motivated by increasing academic stress, perceived course difficulty, limited coping resources, and the influence of mental health on motivation, arousal, and self-efficacy. Two research questions and two hypotheses guided the study. A correlational research design was employed. The sample of 2500 students was selected using proportionate stratified random sampling from the five federal universities in the region. Data were collected using two instruments: the Chemistry Mental Health Inventory (CMHI) …

Brokering Safety, Chinmayi Sharma, Thomas E. Kadri, Sam Adler

Scholarly Works

For victims of abuse, safety means hiding. Not just hiding themselves, but also their contact details, their address, their workplace, their roommates, and any other information that could enable their abuser to target them. Yet today, no number of name changes and relocations can prevent data brokers from sharing a victim’s personal information online. Thanks to brokers, abusers can find what they need with a single search, a few clicks, and a few dollars. For many victims, then, the best hope for safety lies in obscurity—that is, making themselves and their information harder to find.

This Article exposes privacy law’s …

Dual-Task Effects On Spatiotemporal, Kinematic, And Kinetic Parameters And Their Variability During Running, Hsiang-Ling Teng, Jo Armour Smith, Will F.W. Wu

Physical Therapy Faculty Articles and Research

Background

Running in real-world environments often requires using cognitive resources simultaneously with the motor task (dual tasking, DT). Limited existing evidence suggests that DT reduces running speed. Movement variability is essential for a healthy, adaptable motor system. DT has been shown to affect movement variability during walking. Nonetheless, it remains unclear how DT affects spatiotemporal, kinematic, and kinetic parameters and their variability during running.

Research question

Does DT affect spatiotemporal, kinematic, and kinetic measures and their variability during running? Does running speed influence DT effects?

Methods

Thirty-one asymptomatic runners participated in this cross-sectional study. Three-dimensional running biomechanics were recorded while …

The Evolution Of Public Health Statistical Modeling Approaches And How To Advance Their Incorporation Into Modern Arboviral Surveillance, Maggie Mccarter, Stella C W Self, Alex Ewing, Mufaro Kanyangarara, Sarah M Gunter, Melissa S Nolan

Faculty, Staff and Students Publications

Statistical modeling of infectious disease transmission patterns has been in existence since the mid-1700s, evolving in their utility as the scientific and technological revolutions progressed. Despite the expansion of emerging mathematical and statistical methodologies over the past 250 yr, their usage has largely remained restricted to academic settings. This forum article will discuss the evolution of disease modeling techniques, the most common types of models in use today, and recommendations on how key archetypes can be incorporated into future public health practice. With the recent global impetus to predict and forecast novel pathogens, this article raises the question: Why are …

Optimal Drought Management Actions For Cattle Operations On The Duck Valley And Pyramid Lake Indian Reservations, Kynda R. Curtis, Tatiana Drugova, Man-Keun Kim

All Current Publications

In this fact sheet, we examine the drought management options available to cattle operations on two Native American reservations in Nevada, the Duck Valley and Pyramid Lake Indian reservations. Specifically, we discuss the results of a study that evaluated the economic outcomes of two common drought response strategies: herd reduction and supplemental hay purchases. We also provide recommendations for ranchers regarding optimal strategies, i.e., those which would maximize profits for two rancher types, differentiated by their willingness to accept risk (risk-neutral) or avoid it (risk-averse).

Research Assessment Reform As A Key Part Of The Era Act, Nuria Benitez Monforte, Liise Lehtsalu, Lindsay Dowling, Cem Birol, Eva Casamitjana-Martinez, Ragnar Lie, Inês Rosa, Simon Kerridge, Jan Andersen, John Donovan, Daniel Spichtinger

Research Outputs: 2025-Present

The paper, submitted as an input to the ongoing ERA Act consultation, examines persistent challenges in the implementation of research assessment reform across Europe while highlighting concrete and diverse examples of effective practice.Building on these insights, it recommends that the ERA Act should (i) explicitly enshrine the principles of responsible, qualitative, and open research assessment; (ii) establish a European Research Assessment Observatory to monitor implementation, support mutual learning, and align ongoing initiatives; (iii) invest in a dedicated European initiative, (iv) propose an ERA wide national system of incentives; (v) systematize training for evaluators, panels and the stakeholders involved; (vi) ensure …

Prediction Of Structure And Function Of A Novel Β-Lactamase Protein In Gram-Negative Bacteria Using Homology Modeling And Molecular Docking, Ariyani Kiranasari, Surya Dwira, Engla Merizka

Indonesian Journal of Medical Chemistry and Bioinformatics

The emergence of β-lactamase–producing Gram-negative bacteria represents a major global challenge due to increasing resistance to β-lactam antibiotics. In this study, we performed in silico structural and functional prediction of a newly identified β-lactamase protein sequence obtained from a Gram-negative bacterial isolate. Homology modeling was used to construct a reliable 3D model of the protein based on structurally resolved β-lactamases. The model was further evaluated using stereochemical validation parameters. Molecular docking was conducted to assess binding affinity and interaction patterns between the predicted β-lactamase and clinically relevant β-lactam antibiotics, including ampicillin, cefotaxime, and imipenem. The results revealed conserved catalytic residues …

Technology Competition Risk Situation And Response Strategies In China’S Energy Sector Under Great Power Competition, Yong Shi, Shanghua Li, Fei Wu, Kun Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the advancement of the global energy transition and the intensification of global geopolitical uncertainties, technological competition in the energy sector has become a key area in the great power competition. This study constructs a logical framework for energy technology competition and reveals the new trends in current technological competition in the energy sector. On this basis, this study systematically analyzes the three main types of risks that China faces in energy technology competition and further proposes corresponding countermeasures. China must continuously enhance the core competitiveness and institutional voice over energy technology to achieve the strategic goals of energy security …

Research On Energy Security Governance And Preventive Measures In China Under Century Long Changes, Qiang Ji, Ying Fan, Yu Song

Bulletin of Chinese Academy of Sciences (Chinese Version)

Against the backdrop of unprecedented changes in a century, multidimensional internal and external risks are intertwined and stacked, and energy security is constantly developing towards diversification, integration, and globalization. Balancing energy security and climate governance under the “dual carbon” goal is bound to encounter many major challenges, and climate issues have become an important part of the energy security concept that cannot be ignored. This study comprehensively analyzes the internal and external multidimensional risks faced by China’s energy security, and elaborates on the new energy security governance system of “one body, two wings, three ends, and four characteristics” from the …

Strategies For Enhancing China’S Energy Resilience: Trade-Offs Between Diversification And Localization, Zhongwei Song, Yu Zhao, Xiang Gao, Jiaofeng Pan

Bulletin of Chinese Academy of Sciences (Chinese Version)

In recent years, intensified geopolitical conflicts worldwide have increasingly exposed the vulnerabilities of traditional energy security frameworks, necessitating a shift in perspective from “ensuring stable supply” to “building systemic resilience”. This study explores pathways to enhance China’s energy resilience, analyzes how diversification and localization strategies can strengthen national energy security, and reviews related policy practices. Building on this analysis and considering China’s current energy landscape, the study proposes that in the short term, emphasis should be placed on diversifying import sources and routes while strengthening domestic supply assurance. In the medium to long term, it is essential to accelerate the …

Frontiers In Ocean Non-Equilibrium Dynamics And Challenges In Operational Oceanography Application, Yuhong Zhang, Yan Du, Tianyu Wang, Minyang Wang, Qin Duan, Xinlong Li, Yuhang Zheng, Yifan Xia, Shilin Tang, Yineng Li, Jianping Yin

Bulletin of Chinese Academy of Sciences (Chinese Version)

Ocean circulation exhibits complex multiscale dynamics, among which non-equilibrium processes, marked by transient behavior, strong perturbations, and pronounced nonlinearity, are of particular importance for maritime environmental support. However, limited observational capability has long constrained the study of subsurface non-equilibrium dynamics, leaving numerical models insufficiently validated and positioning this issue at the forefront of modern physical oceanography. Artificial intelligence (AI) offers a promising pathway to overcome this bottleneck. Built on this concept, the “iEddy” AI large ocean model can efficiently reconstruct high-resolution, high-accuracy three-dimensional temperature, salinity, and velocity from sea-surface remote sensing data, demonstrating strong capability in capturing non-equilibrium ocean currents …

Current Status And Prospects Of Ocean Data Reanalysis, Chuanyu Liu, Fan Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Ocean data reanalysis (ODR) is a technique that combines ocean observational data with ocean circulation models to produce gridded data with higher accuracy and greater spatiotemporal coverage. The generated reanalysis data serve as a foundational dataset for conducting oceanographic research and developing artificial intelligence-based large ocean models. This study reviews the technical approaches of ODR, the current status of global and regional ocean data reanalysis systems developed in the world, and puts forward recommendations for the development of China's ocean reanalysis system.

Transparent West-Pacific: Frontier Advances In Earth System Science, Lixin Wu, Jiwei Tian, Weidong Sun, Hailong Liu, Tianyu Chen, Zhimian Cao, Zhao Jing

Bulletin of Chinese Academy of Sciences (Chinese Version)

The West-Pacific hosts a well-developed trench-arc-basin system characterized by intense fluid–solid interactions, making it an ideal region for studying multi-sphere interactions within the Earth system. Research on cross-sphere dynamic processes and material-energy cycles in the West-Pacific not only represents a core frontier in Earth System Science, but also crucial to addressing major strategic needs, such as global climate change response, sustainable use of marine resources, and protection of the deep-sea environment. This article highlights key advances achieved under the Major Program on West-Pacific Earth System Multispheric Interactions (WESPMI), in areas including multi-scale oceanic interactions, cross-sphere material exchange, plate subduction and …

Significance, Challenges, And Policy Recommendations For Strengthening Database Development To Support Ai For Science In China, Kaihua Chen, Hongxin Liu, Rui Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the rapid emergence of research intelligence driven by big data and artificial intelligence (AI), high-quality, openly shared scientific databases have become a strategic focal point for scientific innovation and enhancing technological competitiveness. Major countries around the world are increasingly recognizing the foundational role of scientific databases in advancing basic research. While continuously strengthening their own scientific data infrastructure through a series of initiatives, they have simultaneously imposed restrictions and suppression on the development of AI technologies in China, including those involving research data. Against this backdrop, building an autonomous and controllable scientific data ecosystem to support research intelligence is …

Systemic Risks Analysis In International Crude Oil Market: Evidence And Countermeasures, Han Zhang, Yuejun Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Crude oil, often referred to as the “lifeblood” of the modern economy, plays a pivotal role in global economic stability and energy security. However, with the recurrence of crises in recent years, such as the the Russia-Ukraine conflict, escalating tensions in the Middle East, and intensifying trade frictions, the international crude oil market has been facing complex systemic risks, which are accelerated by persistent geopolitical conflicts, fragile supply-demand structures, and the intertwining of macroeconomic and financial uncertainties and so on. For China, with crude oil import dependence remaining above 70% for a prolonged period, economic and social development faces the …

Level Measurement, Problem Analysis, And Countermeasures Of “Four Chains” Integration Development In China, Changhong Nie, Yuxuan He, Chuan Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

romoting the deep integration of innovation chain, industrial chain, funding chain, and talent chain (Four Chains) is an important path to accelerate the formation of new quality productive forces. The evaluation of the integrated development of the “Four Chains” is helpful to comprehensively and objectively reveal the development status, providing decision-making reference for the strategic deployment of scientific and technological innovation and its supporting policies. Based on the meaning and function of “Four Chains”, this study constructs an evaluation indicator system. The study also reveals the development level, regional differences, and dynamic evolution rule of “Four Chains” integration in China. …

Research On China’S Economic Pulse Based On Etc Big Data: Operational Characteristics, Structural Challenges, And Paths To High-Quality Development, Junjie Hong, Geng Li, Jian Guo, Zhengjie Tian, Libin Hu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Big data from highway ETC systems, characterized by full-domain coverage, high-frequency real-time updates, and precise granularity, provides a unique micro-observational window for perceiving the pulse of China’s economic operation. Based on the daily traffic data of national ETC users from Shandong Hi-Speed Xilian Science and Technology Co., Ltd. spanning the period 2023–2025, this study constructs a “China Economic Pulse Index” encompassing five core indicators: daily traffic volume, truck traffic volume, average truck load, inter-regional flow ratio, and travel efficiency. It systematically analyzes the economic operation logic reflected behind ETC big data. Research findings indicate that ETC data clearly reveals China’s …

Satellite-Derived Bathymetry In Island Coastal Zones: Technology, Shilin Tang, Yuye Huang, Yongming Liu, Jianping Yin, Deke Chen, Ronggang Huang, Shuang Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Shallow bathymetry data constitute the core foundational information underpinning the ecological, resource, and strategic values of island and coastal zones. Satellite-derived bathymetry has evolved into a key technical means for large-scale acquisition of shallow bathymetry information. Focusing on satellite-based lidar bathymetry, optical imaging bathymetry, and synthetic aperture radar (SAR) bathymetry, this study systematically summarizes the core principles, applicable scenarios, technical strengths, and inherent limitations of each technology. It is shown that satellite-derived bathymetry has undergone an evolutionary shift from theoretical construction to practical application, and from single-method, single-data-source approaches to multi-technology, multi-source data fusion frameworks. In the future, to meet …

Rare Infection With Precise Detection: Abiotrophia Defectiva Septic Arthritis Following Anterior Cruciate Ligament Reconstruction, Ahmed Al Mamari, Shouq Al Hudar, Maya Al Salti

Sultan Qaboos University Medical Journal

Abiotrophia defectiva, a nutritionally variant streptococcus, is an uncommon yet significant pathogen primarily associated with infective endocarditis and, more rarely, septic arthritis. We report a 23-year-old male patient who presented to a tertiary care centre in Rustaq, Oman, in 2024 with right knee pain and fever following an anterior cruciate ligament reconstruction. Standard cultures remained negative, but enrichment broth and matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry enabled prompt identification of A. defectiva. Subsequently, the patient was diagnosed with native knee septic arthritis due to A. defective. Following surgical debridement, the patient completed a 4-week course of targeted antibiotic therapy, …

Archeota, Fall/Winter 2025, Audie Robinson, Vanessa Sztym, Emily Stockton, Heather Arnold, Niamh Tangney, Gianna Elena Brassil

Archeota

Archeota is a platform for SJSU iSchool students to contribute to the archival conversation. It is written BY students, FOR students. It provides substantive content on archival concerns and issues and promotes professional development in the field of archival studies. Archeota upholds the core values of the archival profession. Contents: Unrecorded Legacies: Why Masonic Archives Matter by Audie Robinson, Book Review: Decolonial Archival Futures by Vanessa Sztym, Passports to the Past: Following the Trail of Sacramento’s Archives Crawl by Emily Stockton, Volunteering at the Jack Mason Museum of West Marin History: Beginnings and Belonging by Heather Arnold, Images From The …

B Lymphocytes Impede Tregs To Erode Islet Tolerance In Type 1 Diabetes, Christopher S Wilson, Blair T Stocks, Alexander C Falk, Daniel J Moore

Faculty, Staff and Students Publications

B lymphocytes are thought to drive β-cell destruction in type 1 diabetes (T1D) by activating anti-islet T cells. However, the observation that autoreactive T-cell activation and disease progression can occur without B cells challenges this view. Still, preclinical and clinical studies have shown that B-cell depletion alleviates β-cell destruction, suggesting a critical role for B cells in T1D. Our findings propose an alternative function for B cells, impairing regulatory T cells (Tregs) that would otherwise protect islets. In the NOD islet transplant model, we show that B-cell absence enables transplant tolerance, allowing Tregs to become responsive to immune therapy and …

Simulated Complex Cells Contribute To Object Recognition Through Representational Untangling, Mitchell B Slapik, Harel Z Shouval

Faculty, Staff and Student Publications

The visual system performs a remarkable feat: it takes complex retinal activation patterns and decodes them for object recognition. This operation, termed "representational untangling," organizes neural representations by clustering similar objects together while separating different categories of objects. While representational untangling is usually associated with higher-order visual areas like the inferior temporal cortex, it remains unclear how the early visual system contributes to this process-whether through highly selective neurons or high-dimensional population codes. This article investigates how a computational model of early vision contributes to representational untangling. Using a computational visual hierarchy and two different data sets consisting of numerals …