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Rebecca Nelson V. State Farm Fire And Casualty Co

2024 Decisions

USDC for the Western District of Pennsylvania

Coherent States Of The Laguerre–Gauss Modes, M. P. Morales Rodríguez, O. S. Magaña-Loaiza, B. Perez-Garcia, L. M. Nieto Calzada, F. Marroquín Gutiérrrez, B. M. Rodríguez-Lara

Faculty Publications

Large quantum photonic systems hold promise for surpassing classical computational limits, yet their state preparation remains a challenge. We propose an alternative approach to study multiparticle dynamics by mapping the excitation mode of these systems to physical properties of the Laguerre–Gauss modes. We construct coherent states establishing a direct link between excitation number dynamics and the evolution of the Laguerre–Gauss modes. This highlights the photon transverse spatial degree of freedom as a versatile platform for testing the fundamental aspects of quantum multiparticle systems.

Computational Thinking In Stem Teaching: Preservice Teachers' Conceptualizations And Practices, Wei Wei, Jesse Ha, Kimberley Gomez, Anuradha Ghosh

Department of Teaching and Learning Scholarship and Creative Works

Within a two-year urban teacher residency program at [University], which focuses on training high school teachers to incorporate computational thinking (CT) into STEM education with an emphasis on equity, this study delves into how these preservice teaching residents (TRs) understood and applied CT in high school STEM settings. Based on our initial thematic content analysis of ten 30-minute artifact-based interviews, teachers' understanding and application of CT could be categorized in two ways: 1) One group of teachers showcased clear, explicit knowledge of CT and actively incorporated it into their instruction; 2) Another group, despite their evident understanding of CT, subtly …

Re: Comments For The Butte Priority Soils Operable Unit (Bpsou) Butte Reclamation Evaluation System (Bres) Draft 2023 Bres Field Evaluation Summary Report And Technical Recommendations Proposal (Dated November 15, 2023) And 2023 Corrective Action Plans For Reclaimed Sites (Dated January 31, 2024), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Order Confirming Third Amended Plan

Catholic Dioceses in Bankruptcy

No abstract provided.

Evaluation Of A Treatment Package To Increase Food Variety For Children With Autism Spectrum Disorder With Food Selectivity, Julissa Robles

USF Tampa Graduate Theses and Dissertations

Individuals with Autism Spectrum Disorder (ASD) and other developmental disabilities are often likely to develop feeding disorders and certain food selectivity (Wood et al., 2009). Various approaches have been taken to assess food selectivity in children with ASD to increase food consumption. Koegel et al. (2012) found that participants were more likely to try new foods when provided with contingent reinforcement with the choice of their preferred item or toy along with hierarchical exposure to novel foods. The purpose of this study was to extend the findings from Koegel et al. (2012) and assess the effects of using hierarchical exposure …

Programmable And Scalable Bit-Sliced Vlsi Architecture For Decision Tree Based Machine Learning Edge Inference, Raaga Sai Somesula

USF Tampa Graduate Theses and Dissertations

As the volume and diversity of Internet-of-Things (IoT) data continues to grow, traditional cloud-based processing methods face significant challenges, including latency, bandwidth constraints, and privacy concerns. Our research focuses on employing decision trees (DTs) as an intelligent filtering mechanism on the edge. Preliminary comparisons across four datasets revealed DTs are significantly more efficient than multilayer perceptrons (MLP), saving 97-98\% in area and power, leading to the selection of DT for our proposed architecture for lightweight IoT devices. We propose a novel programmable and scalable custom application specific integrated circuit (ASIC) architecture designed for Decision Tree based ML inference. Each bit-slice …

Automatic Image-Based Nutritional Calculator App, Kejvi Cupa

USF Tampa Graduate Theses and Dissertations

Nutrition plays a pivotal role in shaping an individuals’ health and quality of life, making the evaluation of dietary intake crucial for promoting healthier lifestyle choices. Various solutions, particularly mobile apps, have been developed to facilitate the process of dietary estimation. Accurate nutritional intake assessment relies on two key components: ingredient recognition and food portion estimation. For a mobile app to offer a comprehensive solution for automatic nutritional assessment, it must address both components.

In this work, we focus on a mobile app pipeline: the semi-automatic pipeline which focuses on automatic food ingredient recognition. This pipeline integrates state-of-the-art models for …

Bird Strike Hazard Assessment For The Tampa International Airport, Florida, Usa, Yakubu Ogwu Isah

USF Tampa Graduate Theses and Dissertations

Managing wildlife at airports poses a challenge for ensuring safety for aviation traffic. Airports, with their surrounding habitats and infrastructure, serve as attractants for avian species. Threats created by these species have led managers to develop management techniques in and around airports (DeVault et al 2013). One approach is the use of geographic information systems (GIS) for analyzing avian strike data and airport bird surveys. Spatial analysis of strike data identifies species of threat by categorizing strike occurrence, species sizes, phase of flight, and risk of damage. In addition, GIS can be used to map hotspots of bird strikes. These …

Semi-Automated Cell Annotation Framework Using Deep Learning, Abhiram Kandiyana

USF Tampa Graduate Theses and Dissertations

Unbiased stereology refers to a field of applied mathematics \cite{intro-to-stereology} focused on accurate (model and assumption-free) quantification of three-dimensional (3D) objects, typically based on their appearance in 2D sections (planes) through the objects. In the biological sciences, these techniques are widely used for making unbiased estimates of arbitrary-shaped (stochastic) objects such as stained cells, blood vessels, region volumes, etc., in tissue sections through a region of interest (ROI).

This fundamental methodology is widely used for evaluating structural changes that occur in diseases, aging, and pharmaceutical interventions, thereby ensuring reliable outcomes. In terms of limitations, stereology is tedious, time- and labor-intensive, …

New Equipment Arrives In The Physical Therapy Department, University Of Dayton. School Of Education And Health Sciences

School of Education and Health Sciences Blog Archive

The Department of Physical Therapy at the University of Dayton received new high-low exam tables and new equipment, thanks to a generous donation from Dave '71 and Norma '71 McCarthy.

Ecotoxicity Of Commonly Used Oilfield-Based Emulsifiers On Guinean Tilapia (Tilapia Guineensis) Using Histopathology And Behavioral Alterations As Protocol, Davies Ibienebo Chris, Okechukwu Kenneth Wokeh, Guillermo Tellez-Isaias, Zulhisyam Abdul Kari, Mohamed Nor Azra

Poultry Science Faculty Publications and Presentations

This study examined the histological aberrations in the gill and liver tissues and behavioural changes of Tilapia guineensis fingerlings exposed to lethal concentrations of used Oilfield-based emulsifiers for 96 h. Various concentrations of the surfactants were tested, ranging from 0.0 to 15.0 ml/L. The behaviour of the fish was observed throughout the experiment, and the results showed that increasing concentrations of the surfactants led to progressively abnormal behaviour, including hyperventilation and altered opercular beat frequency. These behavioural changes indicated respiratory distress and neurotoxic effects. Histological analysis revealed structural aberrations in the gill and liver tissues, with higher concentrations causing more …

Parameter Optimization Of A Floating Two-Buoy Wave Energy Converter, Demin Li, Alistair G.L. Borthwick, Chunyu Jiang, Sanjay Sharma, Xiaochen Dong, Yanni Li, Hongda Shi

School of Engineering, Computing and Mathematics

A geometric optimization methodology of a floating two-buoy wave energy converter is proposed based on a combination of the design of experiment method for sensitivity analysis of geometric parameters and hydrodynamic calculation of optimal performance in the time-domain. Viscosity-corrected fitting curves obtained from physical test data are incorporated in the time-domain simulation to improve model accuracy. Constant, linear, and quadratic power take-off models are applied to the two-buoy system, and the optimal power take-off model identified and applied to the optimization process. The configuration of geometric parameters is selected by means of the central composite design method within a prescribed …

2024 March 15, Faculty Senate Minutes, State University Of New York At Cortland

Minutes

Faculty Senate Minutes, 2024 March 15

SUNY Cortland Faculty Senate Committees Roster 2024-2025

2024 March 15, Faculty Senate Minutes, State University Of New York At Cortland

Minutes

Faculty Senate Minutes, 2024 March 15

SUNY Cortland Faculty Senate Committees Vacancies 2024-2025

Thoughts Beyond Stigma-Implications For Change Reflected In The Voices Of Previously Incarcerated Citizens, Amy Frankel, Elizabeth Depoy

Qualitative Criminology (QC)

State and federal prisons release more than six hundred thousand people annually, with nearly 95% of those returning to the communities in which they resided before incarceration, albeit frequently with discomfort and marginalization, largely due to stigma (Alexander, 2020, Park & Tietjen, 2021). Programs to foster reintegration exist in almost every locale, yet recidivism remains due to many factors. Stigma has received much attention as a cause of failure for successful reentry and acclimation (Park & Tietjen, 2021). With the surge of interest and empirical study of stigma as a barrier, the voices of returning citizens can further enhance significant …

I Had Nowhere To Go: Disenfranchised Grief And Support Groups For Families Of Incarcerated Individuals, Allegra Pocinki

Qualitative Criminology (QC)

Almost two million Americans are incarcerated in state and federal prisons, juvenile corrections facilities, and local jails. While many studies have examined the impact of mass incarceration on the daily lives of wives, female partners, and children, little is known about support groups for families of incarcerated loved ones. Throughout 2021, I conducted virtual interviews with 13 respondents across the United States who created support groups for families of incarcerated individuals or are executive leaders in these organizations. I find that support groups provide space for families to grieve without judgment, can help re-frame the grief experience and provide tools …

It’S Time To Turn The Tide: The Supreme Court Must Moderate Its Stare Decisis Approach Before It’S Too Late For Cases Like Plyler, Sabrina Rodriguez

The Scholar: St. Mary's Law Review on Race and Social Justice

We are standing in a defining moment for the Supreme Court. Against the backdrop of the Court’s Dobbs decision, it is now clearer than ever that if the Court fails to modernize its stare decisis approach, the civil liberties we enjoy are vulnerable to be undermined beyond recognition. Scholars have previously opined that the modern Court’s application of stare decisis to overturn precedent is not a significant departure from the Court’s historical application of this doctrine and thus, the Court’s stare decisis trend is not alarming. This argument fails to appreciate that overturning precedent under selective application stare decisis factors …

Effect Of Evening Vs. Morning Exercise On The Appetite Hormones, Penny Akre

Undergraduate Honors Theses

This paper explores the potential impact of exercise timing on appetite hormones and metabolic outcomes, aiming to enhance understanding of the complex interplay between exercise, appetite regulation, and weight management. A randomized trial involving premenopausal women investigated the effects of morning versus evening exercise sessions over an eight-week intervention period. Participants underwent comprehensive screening and a supervised exercise regimen, with pre-and post-training laboratory sessions assessing body composition and appetite hormone levels. Statistical analyses revealed no significant differences in appetite hormone levels between morning and evening exercise groups, but notable correlations were observed between appetite hormones and body composition measures. Despite …

How Fundamental Epistemic Limitation Impacts My Human Experience, Matthew Mcnairy

Undergraduate Honors Theses

My thesis examines different ways that I am ignorant through a philosophical lens. Through examining my ignorance, I gain insight into myself and the world. However, the kinds of ignorance that interest and irk me the most are fundamental to life. I explore two major sources of ignorance and reference many more. The first source of ignorance is myself. Myself includes my body, my emotions, and my actions. I can partially control each of these, but they also are not fully understood by me. I explore who I am as a self and what my moral responsibility is in the …

The Prevalence And Perceptions Of Self-Relevant Research (“Me-Search”) In Psychological Science, Andrew R. Devendorf

USF Tampa Graduate Theses and Dissertations

Self-relevant research (i.e., me-search; SRR) is research that is informed by lived experience or having close connections to a topic. The disclosure of SRR may impact how a researcher is viewed in professional contexts, like an application to graduate school, and thus can impact who is recruited and retained in psychology. Although SRR appears to be common in psychology, little systematic research exists on its prevalence by subfield of psychology or how SRR is perceived. This study examined SRR across psychology disciplines. An online survey was administered to faculty and graduate students (N = 1313) affiliated with accredited doctoral programs …

Evaluation Of Pediatric Genetics Clinics’ Workflows, Efficiencies, & Genetic Counselor Job Satisfaction, Ashlyn M. Keziah

USF Tampa Graduate Theses and Dissertations

The organizational structures and workflows of pediatric/general genetics clinics exhibit significant variability across institutions. However, there is a notable lack of studies exploring which structural components within pediatric clinics contribute to increased patient volumes, while concurrently upholding genetic counselor work satisfaction and mitigating burnout risks. To address this gap, this multiple case study delves into the operational dynamics of several pediatric genetics clinics located throughout the state of Florida. We employed surveys and interviews to identify shared patterns and distinctions in clinic workflows and structures, subsequently evaluating efficiency and genetic counselor job satisfaction/burnout at each site. This study includes survey …

Retirement And Cognitive Aging: Modifying Factors, Britney M. Veal

USF Tampa Graduate Theses and Dissertations

Due to the increase in the aging population and individuals spending more years in retirement, researchers and public health policymakers have expressed a growing interest in understanding retirement and the overall effects on health and aging. One area that is gaining attention is retirement and its effect on cognition. However, the association between retirement and cognition remains unclear, and pre-retirement modifying factors such as reasons for retirement and longest-held occupation have not been thoroughly assessed. Therefore, using data from the Health and Retirement Study (HRS; n = 3,838) and mixed effects models, this dissertation aimed to examine the association between …

Human Action Recognition Based On Skeleton Edge Information Under Projection Subspace, Benyue Su, Peng Zhang, Bangguo Zhu, Mengjuan Guo, Min Sheng

Journal of System Simulation

Abstract: In recent years, human action recognition based on skeleton data has received a lot of attention in the fields of computer vision and human-computer interaction. Most of the existing methods focus on modeling the skeleton points in the original 3D coordinate space. However, skeleton points ignore the physical chain structure of the human body itself, which makes it difficult to portray the local correlation of human motion. In addition, due to the diversity of camera views, it is difficult to explore the comprehensive representation of actions in different views under the original point-based 3D space. In view of this, …

Three-Dimensional Path Planning Of Uav Based On All Particles Driving Wild Horse Optimizer Algorithm, Gaoyang Li, Xiangfeng Li, Kang Zhao, Yuchao Jin, Zhidong Yi, Dunwen Zuo

Journal of System Simulation

Abstract: In view of large calculation amounts and difficult convergence in the unmanned aerial vehicle (UAV) path planning, a path planning method based on all particles driving wild horse optimizier (APDWHO) was proposed. A three-dimensional environment model and path cost model were established, by which the path planning problem was transformed into a multi-dimensional function optimization problem. An adaptive neighborhood search strategy (ANSS) was adopted to improve the exploitation ability of the algorithm. The Gaussian random walk strategy was used to search the historical optimal position of the individual to improve the exploration ability of the algorithm. Since the ANSS …

3d Streamline Visualization Method Based On Clustering Fusion, Xuqiang Shao, Ya Cheng, Yizhong Jin

Journal of System Simulation

Abstract: In order to solve the problems of incomplete feature extraction, continuity destruction of flow field by visual results, and poor representation of streamline caused by unstable clustering division when the clustering method is used to realize 3D streamline visualization. A 3D streamline visualization method based on clustering fusion is proposed. It consists of a distance measurement method between features and a clustering fusion method, which takes the inter-feature distance and spatial distance as the similarity between streamlines for clustering and then performs weighted merging and subdivision of the obtained clustering result. The method has been tested on data sets …

Planning Modeling And Optimization Algorithm For 5g Indoor Distribution System, Shaoda Zeng, Hailin Liu

Journal of System Simulation

Abstract: Most of the new services in 5G mobile communication technologies, including smart homes, smart factories, and virtual reality, take place in indoor scenes. Therefore, how to quickly plan and build a 5G indoor distribution system with low construction cost and low power loss is of great significance for telecom operators. This paper establishes a mathematical planning model of a 5G indoor distribution system, which is closer to the actual scenario. The model aims to minimize the deployment cost and the maximum output signal power deviation between antennas, and the constraint is to meet the expected output signal power of …

Formation Strategy Of Hybrid Obstacle Avoidance Algorithm For Multiple Mobile Robots, Fulin Liu, Qingxin Li

Journal of System Simulation

Abstract: For the obstacle avoidance problem of multiple mobile robots in the unknown static obstacle environment, this paper proposed a formation strategy of a hybrid obstacle avoidance algorithm for multiple mobile robots, ensuring that multiple mobile robots do not collide during operation, can maintain the formation to the maximum extent in the unknown static obstacle environment for effective obstacle avoidance, and can reach the designated target point in a short time. Based on the leaderfollower method and artificial potential field (APF) method, the formation strategy divided the robots in the system into the leader robot and the follower robot. According …

Research On Hybrid Experimental Scheme Design For Combat Simulation, Fei Liu, Peng Lai, Yingbo Lu, Min Wang, Zhifeng Lu

Journal of System Simulation

Abstract: Combat simulation experimental design refers to sampling the values of experimental factors based on baseline combat scenarios using various experimental design methods and then generating a set of experimental schemes for the sequential simulation. The complexity of combat simulation, such as numerous experimental factors and distinct factor types, including continuous and discrete numeric types, poses several challenges and requires efficient hybrid experimental design methods. To address these issues, this paper conducts a study on the hybrid experimental scheme design for combat simulation. This paper gives a brief classification and review of experimental design methods and presents three hybrid experimental …

Path Planning For Improvement Of A* Algorithm And Artificial Potential Field Method, Xiang Yu, Chen Jiang, Sirui Duan, Qianrui Deng

Journal of System Simulation

Abstract: A* algorithm has the problem of too many polyline paths and search nodes, while the artificial potential field (APF) method has the problems of local optimality and unattainability. These problems are investigated in this paper. A new hybrid heuristic function is proposed based on the Euclidean distance and projection distance, based on which the A* algorithm process is improved accordingly. The search nodes of the A* algorithm are reduced, and the search efficiency is improved. The optimal node generated by the new A* algorithm is used as the local target point of the APF algorithm to assist in getting …