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Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2016, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Using 2016 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be single-axis tracking systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.

From Surviving To Thriving: Black Women College Athletes Excelling Beyond Academic Benchmarks At Historically White Institutions, Tracey L. Hathaway

Graduate Doctoral Dissertations

Black Women college athletes (BWCAs) at historically White institutions (HWIs) navigate a complex intersection of racialized and gendered experiences that shape their academic, athletic, and social lives. This qualitative study explored how BWCAs defined success, navigated systemic challenges, and leveraged holistic support to thrive. Using critical race feminism (CRF) as the guiding theoretical framework, this study centered the voices of five high-achieving BWCAs through semi-structured interviews and reflective thematic analysis.

Participants described the complex realities of balancing academic rigor, athletic participation, and social expectations while facing intersectional invisibility and contending with their status as “outsider within” in both academic and …

Resource Allocation Method For Virus Spreading Control Based On Multi-Granularity Cooperative Coevolution, Xuanli Shi, Weineng Chen, An Song, Tianfang Zhao

Journal of System Simulation

Abstract: According to the principle of simplifying a complex problem into sub-problems for solution, a resource allocation method for virus spreading control based on multi-granularity cooperative coevolution (MGCC) was proposed. According to the characteristics of human's social network structures, MGCC decomposed the network into sub-networks with different scales according to different decomposition granularities. A contribution-based decomposition granularity selection strategy was proposed. Historical archives were used to record the contribution of different decomposition granularities to optimization, and the appropriate decomposition granularity was selected according to the optimization status. A projection-based constraint repairing strategy was designed to ensure the feasibility of solutions. …

Multi-Robot Hierarchical Collaborative K-Robust Path Planning For Path Interference, Kaixiang Zhang, Jianlin Mao, Niya Wang, Zhihao Xu

Journal of System Simulation

Abstract: To plan collision-free paths for multiple robots in interference environments, based on the multi-robot k-robust path planning, this paper designed a multi-robot hierarchical collaborative k-robust path planning framework. In the priority optimization layer, in response to the starting predicament caused by the solution sequence, the multi-robot path solving sequence was determined based on the closure factor. In the multi-robot robust coordination layer, with the goal of improving solution efficiency, a safety interval was introduced as the basis for the design of k-robustness and collision-free avoidance. A collision-free path constraint for multiple robots in the sense of k-robustness was given. …

Generative Ai In The Classroom: Best Practices, A Cetll Guide, The Center For Excellence In Teaching, Learning, & Leadership, S E. Hackney, Brandon K. Jeffries Mr., Emily Drabinski, Joshua Rogers, Holly Weisberg, Yael Neumann, Ashlyn Cavitt, Claudia Brumbaugh, Lindsey Albracht, Robin Naughton, Annalee Roustio, Amy Wan, Soniya Munshi, Jean Kelly

Open Educational Resources

In 2024-2025, in collaboration with Amy Wan, Professor of English and Special Assistant to the Provost for Writing, CETLL hosted a Generative AI in the Classroom Faculty Fellowship, through which an interdisciplinary cohort of thirteen faculty members were supported to critically engage the different concerns and opportunities that generative AI presents for our work as educators.

From our discussions with the Faculty Fellows and other resources, we have developed Generative AI in the Classroom: Best Practices, a CETLL Guide. This guide includes step-by-step guidance about how to engage with questions of generative AI in your classrooms, sample syllabus statements, …

Spartan Daily, August 20, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 1

Collaborative Proposal: Caig: Synthetic Data Generation For Solar Energetic Particle Events Via Multimodal Augmentation, Shah Muhammad Hamdi

Funded Research Records

No abstract provided.

The Impact Of Different Antidiabetic Drugs On Fracture Risk In Patients With Type 2 Diabetes Mellitus: A Systematic Review And Network Meta-Analysis Of Randomized Controlled Trials With A Focus On Sglt2 Inhibitors, Bushra Admani, Fizza Z. Raza, Fatima Siddiqui, Muhammad T. Ashraf, Muhammad K. Khan, Ifra Habib, Ayesha Usman, Bareeha Mansoor, Zaira Nadeem, Rana J. Ghaffer, Muhammad Riyyan, Sawaira Sajid, Muhammad H. A. Chania, Mahnoor Saleem, Saad Javaid, Nikhil Duseja, Hussam Al Hennawi, Sunita Lakhani

Abington Jefferson Health Papers

SGLT2 inhibitors are a new class of antidiabetic drugs that have shown cardiovascular benefits in patients with type 2 diabetes mellitus (T2DM) and cardiovascular disease. However, their effects on fracture risk are unclear and may depend on the type and duration of treatment. This meta-analysis compares the fracture risk of different antidiabetic drugs, including SGLT2 inhibitors, based on data from randomized controlled trials (RCTs). We searched 4 databases for RCTs that reported fracture events in patients with T2DM who received different antidiabetic drugs. We included 117 RCTs that compared 9 types of antidiabetic drugs: SGLT2 inhibitors, DPP-4 inhibitors, α-glucosidase inhibitors, …

Ayotte's Approval Slips In Nh; Granite Staters Divided On Budget Provisions 8/20/2025, Unh Survey Center

All UNH Survey Center Polls

New Hampshire residents are divided in their assessment of first-term Governor Kelly Ayotte's performance, with both supporters and detractors citing her handling of education as a major influence on their opinion. Granite Staters support a provision in the recently passed state budget to bar cell phone use by students during school hours, but they oppose reduced funding for the state's health and human services and the state's university system, USNH. Most residents believe USNH benefits the state's economy and majorities would be angry or dissatisfied if any of the three USNH institutions were to close. On other issues, Granite Staters …

Storage Life Assessment Methods For Long-Term Storage Products Based On Multi-Scale Simulation: A Review, Hongmin Li, Xiao Han, Shuo Huang, Shengpeng Zhang, Shuanglong Rong, Hao Li, Cheng Qian

Journal of System Simulation

Abstract: Traditional experiment-based life assessment methods for long-term storage products suffer from drawbacks such as prolonged duration, high cost, and low prediction accuracy, greatly limiting the effectiveness of storage life assessment in practical applications. With the advancement of digital simulation technology, simulation analysis methods based on the physics of failure (PoF) have emerged as a research hotspot in the field of storage life assessment, as they can accurately characterize product aging behavior. The multi-scale characteristics of long-term storage products and their typical storage failure modes and mechanisms were analyzed. Multi-scale modeling and simulation analysis methods for storage failures of fundamental …

Simulation And Optimization Of Support Processes For Aircraft Fleet Launch Under Limited Resources, Feng Gong, Tao Jiang, Qin Zhang, Yu Liu

Journal of System Simulation

Abstract: To address the scheduling problem of aircraft fleet support processes under limited resources, a fleet support process optimization model that covered multiple aircraft, activities, and resource constraints was developed. An activity node graph model was used to establish the temporal logic, resource competition, and other constraints in the fleet support process, forming a "time – activity – resource" multidimensional optimization model. A genetic algorithm based on priority encoding was proposed, incorporating a serial decoding strategy and a dynamic penalty function to handle the complex constraints in the model, efficiently solving the optimization problem under complicated temporal and resource constraints. …

Optimization Of Product Oil Distribution With Multiple Trips And Multiple Due Dates Under Dynamic Demand, Yong Xie, Hailong Gao, Yutao Chen, Huanjiang Wang

Journal of System Simulation

Abstract: In the case of dynamic demand, considering the order due date, vehicle transportation time window, and other factors, this paper developed an optimization model of periodic product oil distribution with multiple trips and multiple due dates to maximize the distribution revenue. The paper also designed a reinforcement learning-based large neighborhood search algorithm to solve the problem. The initial solution was constructed based on the forward insertion heuristic algorithm. Then, a deep reinforcement learning model for neighborhood operator selection was designed. By fitting the action value function through the double deep Q network, the optimal neighborhood operator was selected, and …

Trajectory Planning And Tracking For Multi-Quadcopter In Dynamic Obstacle Environments, Haosheng Jiang, Fangfang Wu, Zexian Huang, Ziyue Ma, Chunyun Dong, Xubin Ping

Journal of System Simulation

Abstract: Multi-quadrotor UAV systems face challenges when performing complex tasks in dynamic obstacle environments. Therefore, a comprehensive particle swarm optimization-based task allocation method, a trajectory planning integrating the traditional Informed-RRT* and A* algorithms, and a trajectory tracking method based on model predictive control were designed. The multi-quadrotor task allocation problem was constructed as a classical multiple traveling salesman problem, and then, the particle swarm optimization was used to assign the task to multi-quadrotor UAVs. A fusion algorithm that combined the advantages of traditional Informed-RRT* and A* algorithms for quadrotor UAV trajectory planning was designed, so as to ensure that a …

Research On Non-Singular Fast Integral Terminal Sliding Mode Trajectory Tracking Control Of Six-Axis Robotic Arm, Tao Chen, Lizhong Wang, Xiangjun Zou, Xiaojuan Li

Journal of System Simulation

Abstract: To address the trajectory tracking control challenges caused by modeling parameter inaccuracies and disturbance uncertainties in robotic arms, a non-singular fast integral terminal sliding mode control scheme was developed. A new type of non-singular fast integral terminal sliding mode controller was designed. The non-singular fast terminal sliding mode ensured the rapid convergence of the system while avoiding the singularity during convergence. The integral term was used to enhance the suppression ability of disturbances and ensure the rapid response of the controller to errors. Lyapunov stability theory was applied to analyze the controller's convergence. The simulation results show that the …

Lightweight Driver Face Object Detection Algorithm Based On Yolov8-Df, Mingyu Li, Jiaquan Lin

Journal of System Simulation

Abstract: The YOLOv8n detection algorithm has a large amount of computation and parameters in the driving environment. To address this issue, a lightweight driver facial object detection algorithm YOLOv8-DF was proposed. A lightweight multi-scale convolution module (LMCM) was proposed to replace the Conv module in the network, and the dual-channel design could reduce the computation and parameter quantity of the algorithm; the multi-scale design could enrich the feature information inside the network. The lightweight convolutional GhostConv, Fasterblock module, and C2f module were fused, and a dual-channel lightweight convolution module (DLCM) was fused with the SPPF module. The experimental results show …

Optimal Scheduling Of An Integrated Energy System Considering Demand Response And Two-Stage P2g, Xinhui Duan, Zelong Cheng, Dongchao Zhang, Xiaochong Duan

Journal of System Simulation

Abstract: In the context of carbon peaking and carbon neutrality goals, this study aims to improve the energy utilization rate and further explore the role of user-side flexible loads and P2G equipment in energy saving and emission reduction. An optimal scheduling model for integrated energy systems considering demand response and two-stage P2G was proposed. A regional integrated energy system coupled with electricity, heating, cooling, gas, storage, and hydrogen was taken as the research object. Models for system equipment and two-stage P2G were established. Based on load characteristics, a multi-load demand response model for electricity, heating, and cooling was constructed using …

Menopause-Related Changes In Sleep And The Associations With Cardiometabolic Health: A Narrative Review, Joshua R. Sparks, Xuewen Wang Ph.D., Faha

Faculty Publications

This narrative review examines the complex relationship between sleep changes during the menopausal transition and cardiometabolic risks. The most common complaint about sleep is increased awakenings during sleep. Other complaints include having trouble falling asleep, waking up too early, insufficient and non-restorative sleep, and overall poor quality. Sleep determined using objective methods also indicates that greater awakenings after sleep onset are associated with the period of menopausal transition. Polysomnography recordings suggest physiological hyperarousal during sleep. Changes in other sleep metrics, such as sleep latency and sleep duration, are less consistent, and some studies suggest they may not worsen during the …

Fatal Facial Necrotizing Fasciitis: A Case Report Highlighting Diagnostic And Therapeutic Challenges, Muhammad Sheraz Hameed, Syed Rafay Hussain Zaidi, Ali Iqbal, Muhammad Ahsan, Austin Mitchell, Azka Asad Mirza, Joshiah Gordon, Rahmat Gul Omarzai

Department of Medicine Faculty Papers

BACKGROUND: Facial Necrotizing Fasciitis (FNF) is a rare but aggressive, life-threatening infection involving the face's subcutaneous tissues and underlying musculature. It can rapidly progress to septic shock and multi-organ failure if not promptly recognized and treated. The clinical course, including severe pain, disproportionate tenderness, and systemic signs, is often the most crucial factor in diagnosis. While computed tomography (CT) can aid in identifying early signs such as soft tissue swelling and gas formation, clinical suspicion remains paramount and should not be delayed by reliance on imaging alone. Without early intervention, FNF may lead to devastating outcomes, including disfigurement, blindness, or …

Deep Phenotyping Of Obesity: Electronic Health Record-Based Temporal Modeling Study, Sameer Murali, Hongfang Liu

Faculty, Staff and Student Publications

Background: Obesity affects approximately 40% of adults and 15%-20% of children and adolescents in the United States, and poses significant economic and psychosocial burdens. Currently, patient responses to any single antiobesity medication (AOM) vary significantly, making obesity deep phenotyping and associated precision medicine important targets of investigation.

Objective: This study aimed to evaluate the potential of electronic health records (EHR) as a primary data source for obesity deep phenotyping. We conducted an in-depth analysis of the data elements and quality available from obesity patients prior to pharmacotherapy and applied a multimodal longitudinal deep autoencoder to investigate the feasibility, data requirements, …

Midweek Memo, Georgia Southern University

Midweek Memo

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Exploring Institutional Types: Lessons Beyond The Classroom To Broaden The Experiences And Career Paths Of Hesa Professionals, Steven Tolman, Daniel Calhoun, Nikheal Patel

Leadership, Technology & Human Development: Faculty Publications

This study explores the career decision-making processes of Higher Education/Student Affairs (HE/SA) graduate students by examining the influence of institutional exposure on job preferences. Through qualitative analysis, the research reveals that HE/SA graduate students, when exposed to unfamiliar types of institutions, may expand their job search parameters and develop new career interests. The study underscores the significance of introducing students to diverse institutional environments as a pedagogical strategy, highlighting its potential to enrich the professional preparation of future student affairs educators. Implications for enhancing career development practices within HE/SA programs are discussed.

Polymeric Nanocarriers Functionalized With Peptides For Improved Glioblastoma Targeting And Blood–Brain Barrier Permeability, Cristian Antonio Wieczorek Villas Boas, Aaron Priester, Buck E. Rogers, Anthony J. Convertine

Materials Science and Engineering Faculty Research & Creative Works

We report the synthesis of polymeric conjugates designed to penetrate the blood–brain barrier (BBB) and selectively bind glioblastoma (GBM) cells through reversible addition–fragmentation chain transfer (RAFT) polymerization. The resulting materials were engineered to contain peptide macromonomers for cell-specific targeting and integrated DOTA units to facilitate radiolabeling with copper-64 (⁶⁴Cu), yielding radiolabeled conjugates with greater than 95% radiochemical purity. In biodistribution assessments conducted in mice, C1C2 peptide-conjugated polymers showed significantly improved accumulation in brain tissue, supported by brain perfusion analyses confirming efficient BBB penetration. Additionally, flow cytometry evaluations demonstrated specific affinity of GBM-targeted polymer formulations toward U87 glioblastoma cells. …

Lindenwood Digest, August 20, 2025, Lindenwood University

Lindenwood Digest

The Lindenwood Digest has been a digital employee newsletter since 2009.

What Is Philosophy?, The Philosophical Discussion Group

The Philosopher's Stone

• What is Philosophy?

Capturing Magic: Recording Emily Lubitz’S Two Black Horses At Mix Artist Studio – A Reflective Case Study In Contemporary Recording Practice, Jan Muths

Staff Scholarship - Australia & Dubai

This paper reflects on the recording of Emily Lubitz’s album Two Black Horses at Mix Artist Studio in early 2024. It outlines how I applied my core engineering values, technical precision, sensitivity to the musicians’ needs, and anticipatory readiness, to capture the energy of a live band with high acoustic separation. Beyond the technical aspects, it demonstrates how ongoing studio practice directly informs and enhances my teaching, keeping lessons current and relevant. The aim is to connect industry experience with teaching practice, showing how staying active in the field strengthens classroom delivery.

Working Group Report: Developing A Playbook Of Equitable Grading Practices, Stephen H. Edwards, David L. Largent, Ben Schafer, Debarati Basu, Amy Csizmar Dalal, Dan Garcia, Brian Harrington, Kevin Lin, Dan S. Myers, Christian Roberson, Giulia Toti, Brett Wortzman

Faculty Publications

Traditional points-based grading can have negative impacts. As a result, many educators are experimenting with alternative grading practices that are more equitable for students. However, educators often face challenges in implementing equitable grading practices due to a lack of clear, practical descriptions of techniques and the fact that not all techniques are universally applicable. This working group addresses this problem using a three-pronged strategy: conducting a systematic literature review to gather documented techniques, compiling ''recipes'' or concrete descriptions of these techniques, and publishing them in an open-source, online ''playbook'' of equitable grading practices as a community resource for educators. This …

University Of Minnesota Morris Welcomes Largest Group Of New Students In Three Years, Communications And Marketing

Campus News Archive

No abstract provided.

It’S Not Always Over When It’S Over: Scotus Allows Rearguments In Some Cases, Stephen Wermiel

Popular Media

INTRODUCTION: When the U.S. Supreme Court takes the bench on the last public day of its term each year, there is high drama as the justices announce the final opinions, often involving the most high-profile and controversial cases. But every so often there is even more suspense as the chief justice reveals that a case the court had heard during the term has not been resolved and will be “restored to the calendar for reargument.”

Unrecognized And Unreported Concussions Among Community Rugby Players, Rachael Wittmer, Thomas A. Buckley, Charles Buz Swanik, Katelyn M. Costantini, Lisa Ryan, Ed Daly, Regan E. King, Arryana J. Daniels, Katherine J. Hunzinger

Department of Exercise Science Faculty Papers

This study examined the prevalence of intentionally unreported and potentially unrecognized concussions in community rugby players and whether nondisclosure reasons vary by sex, position, or playing history. An online survey was completed by 1037 players (41.0% female; mean age 31.6 ± 11.3 years; 10.1 ± 8.1 years playing) who reported diagnosed, unreported, and unrecognized concussions. Poisson regression models estimated prevalence ratios (PRs), and Fisher's exact tests compared reasons for nondisclosure. The diagnosed, unreported, and unrecognized concussion rates were 66.5%, 32.4%, and 42.2%, respectively. Players with diagnosed concussions had a 7.2-fold higher prevalence of nondisclosure and a 2.3-fold higher prevalence of …

Bridging The Gaps: An Updated Mapping Of The Uses Of Immersive Learning Environments, Leonel Morgado, Dennis Beck, Patrick O'Shea

Curriculum and Instruction Faculty Publications and Presentations

Since publication of the 2020 survey of surveys, "Finding the gaps about uses of immersive learning environments: a survey of surveys," the field of immersive learning environments has experienced substantial growth and diversification. This updated review systematically maps recent developments by analyzing 64 new literature surveys published after the original corpus date, significantly expanding the corpus from 47 to 111 reviews. Through thematic content analysis, our study identifies and integrates five new educational use themes-Games, Observation, Personification, Storytelling, and Student Authoring-and revises existing categories based on recent research. We observed shifts in the prevalence of themes, most notably an increase …