Digital Commons Network^™

The Rider (2026-01-20), Daniela Chapa-Reyes

The Rider Archives

Vol. 11, No. 15

Crystal Structures, Optical Behavior, And Magnetic Properties In Hydrated Lanthanide Iron Sulfates, Chole Jones, Silu Huang, Tyler L. Spano, Eric A. Gabilondo, Mohammed Al-Fahdi, Kara Trim, Mary Douglas, Rongying Jin, Andrew Miskowiec, P. Shiv Halasyamani, Ming Hu, Jie Ling

Faculty Publications

Single crystals of LnFe(SO₄)₃(H₂O)₂ (Ln = La, Ce, Pr, Nd, Sm, Eu, Gd, Dy, Ho, Er, Tm; compounds 1–11) and LnFe(SO₄)₃(H₂O) (Ln = Tm, Yb, Lu; compounds 12–14) were synthesized under hydrothermal conditions. Single-crystal X-ray diffraction (SCXRD) analysis revealed that the dihydrated compounds (1–11) crystallize in centrosymmetric (CS) structures, with the lanthanide ions adopting eight-coordinate geometries. In contrast, the monohydrated compounds (12–14) exhibit noncentrosymmetric (NCS) structures, where the lanthanide ions are seven-coordinated. Vibrating sample magnetometry (VSM) confirmed that compounds 2, …

2026 Mlk Celebration, Dr.Adrienne Coleman

MLK Celebration

One Dream, Many Voices:

Uplifting Black and Brown Excellence Presented by the Office of Diversity, Equity, and Inclusion, Brotherhood-Sister Circle (BHSC), and Featuring Poetic Justice.

Black National Anthem  “Lift Every Voice and Sing” by James Weldon Johnson, Performed by IMSA Chamber Choir

Artificial Intelligence And A Reconfiguration Of Military Power, Elise Annett, James Giordano

Strategic Insights

This commentary examines how artificial intelligence (AI) is reshaping military power and decision-making. AI is becoming a central element in how militaries gather information, analyze data, and support operational decisions. As AI systems increasingly filter and prioritize information for commanders, they influence the pace of operations and the environment in which strategic choices are made. The integration of AI into defense systems, such as command-and-control networks and broader modernization initiatives, may enhance operational effectiveness but also introduces new risks, including vulnerabilities to data manipulation and algorithmic exploitation. AI’s growing role requires clear doctrine, governance, and ethical accountability to ensure that …

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 …

Faculty Senate Executive Committee Agenda January 20, 2026, Utah State University

Faculty Senate & Faculty Senate Executive Committee

• 3:00 Call to Order
• Approval of Minutes December 15, 2025
• 3:05 University Business
• 3:20 Faculty Senate Business
• 3:25 Report
• School of Graduate Studies
• Professional Responsibilities and Procedures Committee
• 3:45 Old Business
• 3:50 New Business
• 4:00 Information
• EPC Report - January 8, 2026
• Adjourn: 4:30 pm

Innovative Applications And Development Paths Of Digital Earth Technology In Marine Environmental Support, Junyi Liu, Xiongfei Liu, Zongji Wang, Zhihong Zeng, Huiping Xie, Siye Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The convergence of Digital Earth technologies and the field of marine environmental support represent a significant trend in global scientific and technological advancement. In response to the characteristics of marine environmental data such as sparsity, dynamic complexity, and multi-scale interdependence, and by integrating the evolution of international Digital Earth technology with China’s independent innovation practices, this study constructs three core methodological paradigms. The first is the element-integrated ontology, which proposes a hybrid representation paradigm of “spatiotemporal embedded field + ontology” to achieve integrated and dynamically evolving modeling of marine physical environments alongside geological, biological, chemical, and other multidimensional elements. 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.

Development Trends And Implications Of Muti-Objective Marine Environmental Forecasting Technology, Yineng Li, Yuhang Zhu, Shiqiu Peng, Zhiwu Chen, Xing Wei, Junmin Li, Shaodian Li, Peiwei Xie, Jiawen Liao, Yankun Gong, Shilin Tang, Shuqun Cai

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the continuous expansion of global maritime activities and the steady advancement of the “maritime power” strategy, marine environmental security has become a top priority for China. In deep-sea areas, various environmental parameters such as temperature, salinity, sound velocity, wave dynamics, internal solitary waves, and nearshore rip currents play a crucial role in navigation safety and underwater equipment operations. Nevertheless, traditional single-parameter forecasting models are no longer sufficient to meet the demands of multi-objective environmental protection. As a result, there is a growing need for a high-resolution, multi-objective forecasting system that integrates basic oceanographic element predictions (such as temperature, salinity, …

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 …

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 …

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 …

Ionic Mechanisms Of Two-Pore Channel Regulation Of Vesicle Trafficking, Heng Zhang, Michael X Zhu

Faculty, Staff and Student Publications

The endolysosomal system plays a pivotal role in cellular function. Before reaching lysosomes for degradation, the endocytosed cargoes are sorted at various stages of endosomal trafficking for recycling and/or rerouting. The proper execution of these processes depends on tightly regulated ion fluxes across endolysosomal membranes. Recent studies have demonstrated the importance of two-pore channels (TPCs), including TPC1 and TPC2, in endolysosomal trafficking. These channels are expressed in the membranes of distinct populations of endosomes and lysosomes, where they respond to nicotinic acid adenine dinucleotide phosphate (NAADP) and phosphatidylinositol 3,5-bisphosphate [PI(3,5)P2] to conduct Ca2+ and Na+ release from these acidic organelles. …

Illinois State University Salaries Fy2026, Illinois State University

Illinois State University Salaries

Includes two sections: administrative professional and civil service salaries, and non-tenure track, tenure track, and faculty associate salaries.

Hybridsense-Llm: A Structured Multimodal Framework For Large-Language-Model–Based Wellness Prediction From Wearable Sensors With Contextual Self-Reports, Cheng Huan Yu, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

Wearable sensors generate continuous physiological and behavioral data at a population scale, yet wellness prediction remains limited by noisy measurements, irregular sampling, and subjective outcomes. We introduce HybridSense, a unified framework that integrates raw wearable signals and their statistical descriptors with large language model–based reasoning to produce accurate and interpretable estimates of stress, fatigue, readiness, and sleep quality. Using the PMData dataset, minute-level heart rate and activity logs are transformed into daily statistical features, whose relevance is ranked using a Random Forest model. These features, together with short waveform segments, are embedded into structured prompts and evaluated across seven prompting …

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 …

Brief Of Amicus Curiae Gregory Klass In Support Of Respondents In Veolia Water Technologies, Inc. V. Antero Treatment Llc, No. 2025sc21 (Colo. Jan. 20, 2026)., Gregory Klass

Georgetown Law Faculty Publications and Other Works

In September, 2025, the Colorado Supreme Court granted certiorari in Veolia Water Tech. v. Antero Treatment to resolve the following question: “Whether the economic loss rule bars a fraud claim when the parties were in a contractual relationship, the fraud claim seeks the same relief as the plaintiff’s contract claim, and the fraud concerns the defendant’s performance under the contract.”

This scholar’s amicus brief addresses four questions under Colorado law: (1) Does an exploratory contract to determine whether a transaction is desirable prevent liability in tort for fraud in the inducement of the principal contract? (2) What is the significance …

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.

The Use Of Artificial Intelligence In Decreasing Vaccine Skepticism And Hesitancy, Nathaniel Wolf, Nhan Nguyen, Rojelio Mejia

Faculty, Staff and Students Publications

Purpose of review: Recent advances in artificial intelligence (AI) coincide with decreases in confidence in vaccines. This review examines studies that analyze and mitigate vaccine skepticism by implementing artificial intelligence strategies in various ways.

Recent findings: Studies have explored public attitudes towards vaccines using AI to analyze language in social media postings and interactions, scrutinize AI responses to vaccine-related queries, and attempt to use AI to directly influence vaccine hesitancy. Findings show that AI can be effective in addressing vaccine hesitancy in various ways, including, but not limited to, directly interacting with vaccine-hesitant groups, identifying reasons for vaccine hesitancy, and …

Ivan Pavlov’S Behaviorism Theory: Its Implementation In The Teaching And Learning Process, Rofiq Alfawwazy, Anggun Nurhidayah

Journal of Innovation and Teacher Professionalism

Ivan Pavlov’s behaviorism theory, which emphasizes the stimulus–response relationship through classical conditioning, holds a significant role in the field of education. This study examines the application of Pavlovian principles in learning through a literature review of five selected articles published between 2021 and 2025. The findings indicate that behaviorist strategies are effective in shaping students’ behavior, particularly in fostering discipline, responsibility, and task compliance, primarily through reinforcement methods such as praise, rewards, and social recognition. Nonetheless, the behaviorist approach also reveals several limitations, including rigid learning structures, diminished creativity, and overreliance on external stimuli. The implementation of behaviorist techniques differs …

Cost Control, Ict Application, And Effective Project Delivery In The Construction Of School Plant In Nigeria, Ekwueme Onyekachukwu Godspower, Chukwuebuka Martinjoe U-Dominic

Journal of Innovation and Teacher Professionalism

The construction of school plants in Nigeria is often constrained by budget discrepancies, weak cost management, and inefficiencies that hinder timely and sustainable project delivery. Cost control and the integration of Information and Communication Technology (ICT) have become essential strategies for addressing these challenges, promoting transparency, accountability, and optimal resource use. This study was conducted in Rivers State, Nigeria, with a target population of 133 staff members from selected construction companies. Using the Taro Yamane formula, a sample of 100 respondents was selected through stratified random sampling to ensure representativeness. Data were gathered through structured questionnaires, interviews, and secondary sources …

The Effectiveness Of Problem-Based Learning In Object-Oriented Programming Instruction: A Classroom Action Research Study, Elva Hidayatul Haque, Slamet Wibawanto, Winda Sulistyana

Journal of Innovation and Teacher Professionalism

This study aims to examine the implementation of object-oriented programming (OOP) instruction using a Problem-Based Learning (PBL) approach to enhance students’ programming skills at SMKN 9 Malang. The research employed a Classroom Action Research (CAR) design conducted through three iterative cycles to systematically improve the learning process. The first cycle focused on the planning stage, in which learning objectives, instructional materials, and problem-oriented learning strategies aligned with OOP concepts were developed. The second cycle involved the implementation of the PBL approach, where students actively engaged in solving contextual programming problems requiring the application of object-oriented principles. During this stage, observations …

Appraisal Of Aquifer Protective Capacity And Groundwater Potential Using The Vertical Electrical Sounding Technique In Illah, Delta State, Nigeria, John E. Okonkwo, Efemena D. Emmanuel

Al-Bahir

Groundwater is a critical resource in Illah, Delta State, where surface water is unreliable. This study aims to evaluate groundwater potential and aquifer properties using geoelectric methods, with a particular focus on Dar-Zarrouk parameters. Thirteen Vertical Electrical Sounding (VES) surveys were conducted using the Schlumberger array. Derived parameters, including resistivity, thickness, and Dar-Zarrouk indices, were analysed to characterise the aquifers’ hydraulic properties. Four to five geoelectric layers underlie the study area. Aquifer resistivity ranged from 124–2499 Ω·m, thickness from 3.4–57.9 m, and transmissivity from 27.54–468.99 m²/day. VES 4, VES 1, and VES 7 were identified as high-potential sites. Longitudinal conductance …

Biopcm-Integrated Smart Façade For Hospitals: Thermal Performance Across Floor Levels In A Hot-Arid Climate, Aia A. Qindil, Esraa Elazab, Mohamed M. Shawky Abou Liela

Mansoura Engineering Journal

Hospitals are among the most energy-intensive building types because they operate around the clock and must maintain strict indoor environmental conditions, especially in hot-arid climates. Improving their performance calls for façade solutions that can store thermal energy effectively and help cut carbon emissions. This study evaluates the use of macro-encapsulated BioPCM® within the south façade of a high-rise hospital in Mansoura, Egypt, using dynamic simulations in DesignBuilder (EnergyPlus). The analysis focuses on two vertical levels, the third floor as a typical ward and the seventh floor as a rooftop ward, to investigate how elevation influences PCM performance, an aspect rarely …

Credit Card Fraud Detection Using Metaheuristic Techniques, Narges Sabry Anwer Mohammed, Mohammed Sabry Saraya, Amr M. Thabet, Labib M. Labib

Mansoura Engineering Journal

Credit Card Fraud Detection (CCFD) has become a critical challenge to financial security due to increasingly sophisticated fraudulent activities. This study investigates the effectiveness of Meta-Heuristic (MHT) optimization techniques in improving fraud detection (FD) through feature selection (FS) and model optimization. To address class imbalance, Random Under-Sampling (RUS) was applied. The selected feature subsets were evaluated using three machine learning (ML) classifiers—Decision Tree (DT), KNearest Neighbours (KNN), and XGBoost (Xgb-Tree)—across four benchmark datasets: European, Statlog (Australian Credit Approval), PaySim, and Credit Card Transactions Fraud Detection (CCTFD). Eleven binary MHT algorithms were implemented and compared. The comparative analysis shows that the …

Humanizing Online Learning Through Culturally Responsive Pedagogy: Preserving Cultural Identity And Human Connection In Digital Spaces, Michael Mills

International Journal of Teaching and Learning in Higher Education

The rapid shift to online and hybrid learning environments has highlighted the need for culturally responsive pedagogical approaches in digital spaces. While much research has explored culturally responsive teaching in traditional classrooms, less attention has been paid to how these principles can be effectively translated to online learning environments. This article examines how culturally responsive pedagogy can be meaningfully integrated into online learning spaces through intentional course design, assessment practices, and community building. Drawing from existing literature on culturally responsive teaching, online learning, and digital equity, this paper provides a framework for educators to create more inclusive and culturally sustaining …

Enhancing Deep Learning And Workload Management In Online Education: The Power Of Scaffolded Weekly Assessments, Maryam Mohammad Zadeh, Rebecca Ferrari

International Journal of Teaching and Learning in Higher Education

This study investigates the use of scaffolded weekly assessments with individual feedback in promoting deep learning and managing workload among engineering students in online education. The research focuses on how these assessment strategies shape students’ learning approaches and workload distribution. The study involved the implementation of weekly assessments aligned with intended learning outcomes, complemented by personalized feedback. Data collection comprised student surveys and qualitative feedback to assess the impact on learning approaches and workload management. The qualitative results show that 91.9% of the students adopted deep learning, where only 8.1% engaging in surface learning. Students reported that this approach not …

Design And Analysis Of A Hybrid Energy Storage System For A Bldc Motor In Lightweight Electric Vehicles, Mohammed Turki Baidar, Yasir M. Y. Ameen

AUIQ Technical Engineering Science

Internal Combustion Engine (ICE) vehicles are being replaced by electric vehicles to decrease fossil fuel depletion, pollution, and the effects of global warming. However, in electric vehicles, the primary concern is battery power consumption and lifespan, which affects the driving range. This study presents a hybrid energy storage system (HESS) comprising a lithium-ion battery and super capacitor array, designed and simulated in MATLAB/Simulink to enhance the range and performance of lightweight electric motorcycles powered by 2.5 kW BLDC motors. A 16-cell super capacitor module (3V, 3000F per cell) achieving 187F total capacitance was integrated with a 44.4V battery through a …