Digital Commons Network^™

Irma Notification, Uc Law Sf

Long Range Campus Planning Archive

No abstract provided.

Universal Centralizers, Morita Abelianization, And Wonderful Models In Lie Theory, Peter Crooks

Funded Research Records

No abstract provided.

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 2014, Shelbie Wickett, Ana Dyreson

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

Using 2014 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.

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 2017, Shelbie Wickett, Ana Dyreson

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

Using 2017 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.

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 2018, Shelbie Wickett, Ana Dyreson

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

Using 2018 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.

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 2020, Shelbie Wickett, Ana Dyreson

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

Using 2020 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.

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 2021, Shelbie Wickett, Ana Dyreson

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

Using 2021 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.

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 2022, Shelbie Wickett, Ana Dyreson

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

Using 2022 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.

A Religious Etiology Of Genito-Pelvic Pain And Pain With Penetration, Emily L. Carlson

Theses and Graduate Projects

Pelvic pain during penetration (PPDP) has been described using various diagnostic terms, including vaginismus, dyspareunia, and vulvodynia. The most recent and comprehensive classification is Genito-pelvic pain/penetration disorder (GPPPD) which is characterized by psychological distress associated with pain during or in anticipation of vaginal penetration (DSM-5-TR; American Psychiatric Association [APA], 2022). The etiology of PPDP is multifactorial, involving a complex interplay of biological, psychological, and relational factors. Religious and cultural influences may play a significant role in shaping individuals’ experiences of sexual pain. This study investigated the etiology of PPDP in relation to the religious influences among women raised in Judeo-Christian …

Neurophysiology And Behavior Lab, University Of Mississippi

University Website Migration from WordPress

The Neurophysiology and Behavior Laboratory investigates the neurobiological mechanisms of behavior. A major goal in neuroscience is to understand how the brain processes salient environmental stimuli and promotes behavioral adaptation. Under some circumstances (i.e. stress) changes in neuronal activity generate mal-adaptive behavior and ultimately the development of psychiatric disorders such as drug addiction. Our challenge is to identify how and when neuronal changes are translated into pathological behavior. The Neurophysiology and Behavior Lab is located in the Thad Cochran Research Center on campus (animal facility). We utilize in vivo electrophysiology and pharmacology to track the neuronal correlates of behavior.

Chancellor's Commission On The Status Of Women, University Of Mississippi. Office Of The Chancellor

University Website Migration from WordPress

The Commission on the Status of Women consists of approximately 20 faculty, staff, and student members appointed by the Chancellor and charged with the duty of studying the status of women faculty, staff, and students. The Commission keeps the Chancellor apprised and makes recommendations.

Biodiversity And Conservation Research, University Of Mississippi. Center For Biodiversity And Conservation Research

University Website Migration from WordPress

No abstract provided.

Improving Student Success In 2nd Degree Bsn Students, Sharon Radzyminski, Eloisa G. Tamez, Jennifer Brewster, Leslie Kimberling Jones

School of Nursing Faculty Publications

Second Degree Bachelor of Science in Nursing (BSN) programs are designed to leverage a student’s prior academic achievements and professional experience, integrating them into the curriculum for their nursing degree. This allows students to receive credit for previous core courses and move through the nursing program at an accelerated rate. This, however, brings special challenges for both students and faculty. At our university we noticed the attrition rate of students in the second-degree BSN program was significantly higher than the traditional BSN program. Investigation into this issue revealed students in the Second-Degree Program had significant issues with role conflict, poor …

Detection Of Small Apple Targets Based On Improved Yolov5 In Natural Environments, Zilong Liu, Lei Zhang

Journal of System Simulation

Abstract: The distribution of apples usually features occlusion and small and dense targets. To address these issues, a target detection algorithm was proposed based on an improved YOLOv5 model. Specifically, this paper added the coordinate attention (CA) mechanism, receptive field block (RFB), and adaptively spatial feature fusion (ASFF) modules to the YOLOv5, enhancing the ability to detect small targets. Additionally, the proposed algorithm replaced the CIoU in YOLOv5 with SIoU to improve the target detection box's prediction accuracy. Finally, some normal convolutions were replaced with depthwise separable convolutions (DSC), effectively reducing the calculation burden. Experiment results show that the comprehensive …

State Government Policies And Opioid Overdoses And Deaths, William Jerome Howard

Walden Dissertations and Doctoral Studies

In the United States, opioid deaths posed a significant public health crisis with profound social and economic implications. The opioid crisis continued despite the implementation of state-level prescription drug monitoring programs (PDMP), naloxone access laws (NALs), and Medicaid expansion programs. Existing research demonstrated opioid deaths and nonfatal overdose patterns highlight the need for targeted harm reduction strategies, but there remained a lack of quantitative studies that addressed the effectiveness of opioid harm reduction policies. The purpose of this quasi-experimental quantitative research was to evaluate the relationship between state-level PDMPs, NALs, Medicaid expansion programs, and the COVID-19 global pandemic period (2020-2023), …

Modeling The Importance Of Life Exposure Factors On Memory Performance In Diverse Older Adults: A Machine Learning Approach, Evan Fletcher, Marianne Chanti-Ketterl, Emily Hokett, Yi Lor, Umesh Venkatesan, Ruijia Chen, Omonigho M. Bubu, Rachel Whitmer, Paola Gilsanz, Zvinka Z. Zlatar

Moss-Magee Rehabilitation Papers

INTRODUCTION: Many health life exposure factors (LEFs) influence cognitive decline and dementia incidence, but their relative importance to episodic memory (an early indicator of cognitive decline) among diverse older adults is unclear. We used machine learning to rank LEFs for memory performance in a large and diverse US cohort.

METHODS: Kaiser Healthy Aging and Diverse Life Experiences (KHANDLE) and Study of Healthy Aging in African Americans (STAR), participants underwent neuropsychological testing and answered questionnaires about multiple LEFs. XGBoost and Shapley Additive exPlanation values ranked the importance of factors influencing cross-sectional episodic memory in the full sample and by sex and …

Usa V. Carl Rose

2025 Decisions

USDC for the Eastern District of Pennsylvania

Usa V. David Somerville

2025 Decisions

USDC for the Western District of Pennsylvania

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 …

Ecological Drivers And Temporal Dynamics Of Daphnia In A Diverse Environmental And Spatial Landscape, Crysta A. Gantz

Dissertations and Theses

In the modern era, commonly referred to as the Anthropocene, human-caused changes to the environment are prevalent and complex. The study of impacts to biodiversity and ecosystem functioning requires multi-faceted approaches that encompass scales of organization from genes to ecosystems. It is often difficult to tease apart whether species responses to environmental change are due to phenotypic plasticity or genotypic variation. Therefore, it is important to try to understand where variation originated, that is, to link a phenotypic response to a genetic change or to gauge whether the response is from the environment. In addition, neutral genetic variation arising from …

Precarious Privilege: Exploring The Intersection Of White Teacher Habitus And Social Justice In International Schools, Kevin L. Workman

Dissertations

This qualitative study explored the underresearched phenomenon of White teacher allyship within an emergent diversity, equity, inclusion, and justice (DEIJ) movement in international schools. Gaining momentum in 2020 as a digital, postcolonial counterstory, the movement exposed structural inequities and racism across the international school ecosystem. Applying an antiracist reading of Bourdieu’s (1977) theory of practice, the study analyzes how White teachers (n = 8) from diverse international contexts understand, experience, and assess their participation in DEIJ activities. Thematic analysis of interview data corroborated the digital voices, explicitly identifying White supremacy as a key force shaping the field’s doxa. The study …

Scene Generation Method For Maritime Target Recognition Based On Detection Parameters, Yuxuan Run, Dezhen Yang, Yeyang Liu, Wei Deng, Xiangyu Xing, Yi Ren

Journal of System Simulation

Abstract: Traditional scene generation methods for maritime target recognition consider only the effects of different environments on the generated scene data, while overlooking the changes in scene information caused by sensor detection parameters, resulting in a lack of accuracy and authenticity in generated scenes. To address this issue, a detection parameter-based scene generation method for maritime target recognition was proposed. For the task of maritime target recognition, key detection parameters affecting scene generation quality and essential scene features were analyzed. An association relationship modeling method based on Bayesian networks was proposed to construct a mapping relationship model between scene features …

Ship Fire Prediction Method Based On Evidence Theory With Fuzzy Reward, Chunyu Yang, Chuang Zhang, Xiaofan Zhang

Journal of System Simulation

Abstract: A multi-source information fusion approach based on the dempster-shafer (D-S) evidence theory with a fuzzy reward-penalty mechanism was proposed to address the issues of underreporting and false reporting in the early prediction of ship fires. PyroSim was utilized to construct a ship's laboratory model for fire simulation. Variations in carbon monoxide, temperature, and smoke concentration were recorded for data acquisition, followed by the application of a sigmf function for membership assignment. By leveraging the classical D-S theory, a reward-penalty mechanism was applied in weighted evidence fusion. Reward-penalty factors were utilized to differentiate various basic probability assignments, with unified belief …

Research On Joint Simulation Of Special Vehicle Engine Operation Characteristics Based On Virtual Driving Scenarios, Xueyuan Xie, Chen Lin, Han Wu, Qinglan Zhao, Junfei Gao, Qiangguo Hao, Xinqian Zheng

Journal of System Simulation

Abstract: The preliminary design of the overall operation performance of diesel engines cannot be guided by actual vehicle driving tests, which hinders the improvement of the power development level and efficiency of special vehicles. By using the virtual visual simulation engine Unity3D, two virtual driving scenario models were established: a flat road scenario and an undulating road scenario. Based on the speed characteristic parameters of the engine, a diesel engine's operation performance output model was constructed. Combined with the transmission system model and the longitudinal dynamics model of the vehicle's center of mass, a straight vehicle driving dynamics model was …

August 20, 2025 Blazer Weekly, University Of Alabama At Birmingham

Blazer Weekly (student newsletter)

No abstract provided.

Midweek Memo, Georgia Southern University

Midweek Memo

• Applaud
• Remember
• Share
• Experience
• Around the Nest

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

Dynamic Remodeling Of Centrioles And The Microtubule Cytoskeleton In The Lifecycle Of Chytrid Fungi, Alexandra F Long, Krishnakumar Vasudevan, Andrew Swafford, Claire M Venard, Jason E Stajich, Lillian K Fritz-Laylin, Jessica L Feldman, Tim Stearns

Biology Faculty Publications

Cell movement and division are complex behaviors driven by a dynamic internal cytoskeleton. The molecular components and principles of cytoskeletal assembly are well studied, but less is known about cytoskeletal remodeling events, including how centrioles transition from ciliary base to centrosome. Here we address this using the chytrid Rhizoclosmatium globosum, a zoosporic fungus which has centrioles and cilia, lost in most fungal lineages. Chytrids undergo reorganization of their microtubule cytoskeleton as they grow from zoospore to multinucleated coenocyte. We use evolutionary comparison, RNA sequencing, and expansion microscopy to understand this reorganization and further develop this organism as a model for …

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. …

Offline Contextual Bandits In The Presence Of New Actions, Ren Kishimoto, Tatsuhiro Shimizu, Kazuki Kawamura, Takanori Muroi, Yusuke Narita, Yuki Sasamoto, Kei Tateno, Takuma Udagawa, Yuta Saito

Cowles Foundation Discussion Papers

Automated decision-making algorithms drive applications in domains such as recommendation systems and search engines. These algorithms often rely on off-policy contextual bandits or off-policy learning (OPL). Conventionally, OPL selects actions that maximize the expected reward within an existing action set. However, in many real-world scenarios, actions—such as news articles or video content—change continuously, and the action space evolves over time compared to when the logged data was collected. We define actions introduced after deploying the logging policy as new actions and focus on the problem of OPL with new actions. Existing OPL methods cannot learn and select new actions because …