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Family And Consumer Sciences Extension Is Stem, Gina Peek, Kimberly Williams, Kelly Wardlaw, Susan Routh Nov 2025

Family And Consumer Sciences Extension Is Stem, Gina Peek, Kimberly Williams, Kelly Wardlaw, Susan Routh

Journal of Extension

Family and consumer sciences (FCS) has a foundation in science, technology, engineering, and math (STEM). We developed a simple framework with three criteria to identify and evaluate family and consumer sciences Extension STEM resources. Results indicate that STEM resources are more readily available in certain family and consumer sciences content areas. This simple framework can be applied to other Extension program areas to strengthen and articulate STEM concepts.

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Expanding Community Engagement By Combining Extension, Service Learning, And Classroom Instruction, Chester L. Arnold, Juliana Barrett, Todd Campbell Dr., Marisa Chrysochoou, David Dickson, Michael Dietz, Randi Mendes Nov 2025

Expanding Community Engagement By Combining Extension, Service Learning, And Classroom Instruction, Chester L. Arnold, Juliana Barrett, Todd Campbell Dr., Marisa Chrysochoou, David Dickson, Michael Dietz, Randi Mendes

Journal of Extension

The Environment Corps program at the [university] approaches community engagement by combining teaching, service learning, and extension work. This model of engagement harnesses the power of trained undergraduates in conducting meaningful and actionable projects for communities, building on the topical knowledge, outreach experience, and community contacts of seasoned Extension professionals, and in turn expanding the reach of their programs. Over 175 projects have been completed in partnership with 96 municipalities, nonprofits, or other entities. The program has documented benefits to both students and partner communities. The program team is interested in assisting others to adapt the model.

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Integrating Complete Bond Dissociation In Class Ii Force Fields, Joshua Kemppainen, Hendrik Heinz, Gregory M. Odegard Nov 2025

Integrating Complete Bond Dissociation In Class Ii Force Fields, Joshua Kemppainen, Hendrik Heinz, Gregory M. Odegard

Michigan Tech Publications

Predicting the physical and mechanical properties of organic materials from purely chemical understandings remains a significant challenge due to the limitations of conventional force fields in molecular dynamics (MD). In this work, we present a novel reformulation of Class II force fields that integrates Morse bond potentials with newly derived cross-term interactions, explicitly capturing complete bond dissociation while maintaining computational efficiency. This reformulated functional form combines the stability of fixed-bond models with the reactive capabilities of bond-breaking force fields, achieving accurate and robust MD predictions across crystalline, semi-crystalline, and amorphous organic systems. Extensive benchmarking confirms its predictive accuracy and speed, …

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Mapping The Importance Of Sports Facilities For Football Clubs: A Bibiiometric Insight, Imane Terhzaz, Abderrahim Rharib Nov 2025

Mapping The Importance Of Sports Facilities For Football Clubs: A Bibiiometric Insight, Imane Terhzaz, Abderrahim Rharib

Journal of Global South Sport Studies

This study presents a comprehensive overview of existing research on the relationship between sports facilities and the professionalization of sports clubs. The role of sports facilities has been increasingly acknowledged as critical to the organizational growth and competitive advantage of sports clubs. However, uncertainty remains regarding the effectiveness of investments in facilities and their impact on club development. Using the R-tool namely Bibliometrix, which offers a structured workflow for conducting bibliometric analysis, we analyzed a dataset of 535 articles published between 1988 and 2024 and indexed in the Web of Science database. The findings reveal a stabilization in research output …

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Coe Presents: Italy, College Of Engineering Nov 2025

Coe Presents: Italy, College Of Engineering

International Education Week

Experience Italian culture through food, festive activities, and games that bring the spirit of Italy to campus.

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Recognition Of Bangla And English Words In Bengali Texts Using A Modified Bert-Base-Ner Model, Md Parvez Hossain, Ohidujjaman Ohidujjaman, Mohammad Shorif Uddin, Mohammad Nurul Huda, Tetsuya Shimamura Nov 2025

Recognition Of Bangla And English Words In Bengali Texts Using A Modified Bert-Base-Ner Model, Md Parvez Hossain, Ohidujjaman Ohidujjaman, Mohammad Shorif Uddin, Mohammad Nurul Huda, Tetsuya Shimamura

Iraqi Journal for Computer Science and Mathematics

A fusion of Bangla and English words is frequently utilized, especially on social media. This phenomenon significantly hampers the learning and preservation of the Bengali language among future generations. This paper proposes a model to recognize Bangla and English words in Bengali texts. In addition, this study converts the detected English words into standard Bangla words. In this work, we redesign the BERT-base-NER model using the training input dataset. BERT is chosen for its strong contextual representation capabilities, which are well-suited to noisy and informal text. BERT-base-NER provides strong contextual embeddings but treats token labels independently, lacking explicit modeling of …

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Advertising Constraint-Based Dynamic Generation Of Promotional Content User Interfaces., Lakshmi Kumar Dabbiru, Raghu Donamukkala Nov 2025

Advertising Constraint-Based Dynamic Generation Of Promotional Content User Interfaces., Lakshmi Kumar Dabbiru, Raghu Donamukkala

Defensive Publications Series

The use of static, pre-defined layouts for promotional content can limit adaptability to user requests for specific formats and may not maintain visual coherence with evolving page designs. This disclosure describes a system for the dynamic, advertising constraint-based generation of user interfaces for such content. The system can utilize a generative large language model to create front-end code for a promotional layout in real-time or near-real-time. The generation process can be guided by a consolidated set of constraints, such as formatting instructions parsed from a user's query, design system parameters from a surrounding page, and advertiser brand preferences. This approach …

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Federated Agentic System For Adaptive Workflow Management In Enterprise Environments, Soumendra Kumar Mishra Nov 2025

Federated Agentic System For Adaptive Workflow Management In Enterprise Environments, Soumendra Kumar Mishra

Defensive Publications Series

The present disclosure relates to a federated agentic system for adaptive workflow management in enterprise environments. This system features a coordination hub for dynamically delegating tasks to multiple intelligent agents. The Resource Usage module forecasts resource consumption patterns based on historical execution data, while the Server Availability module monitors server health to ensure infrastructure readiness. Additionally, the Resource Availability module assesses the state of the Hadoop cluster for necessary computing and storage resources, and the Scheduling Optimization module identifies and resolves scheduling conflicts to enhance job execution efficiency. By integrating these components, the system ensures reliable data synchronization across distributed …

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Data-Centric Ai For Eeg-Based Emotion Recognition: Noise Filtering And Augmentation Strategies, Nadieh Moghadam, Rana Hegazy Nov 2025

Data-Centric Ai For Eeg-Based Emotion Recognition: Noise Filtering And Augmentation Strategies, Nadieh Moghadam, Rana Hegazy

School of Engineering: Faculty Scholarship

Research in the biomedical field often faces challenges due to the scarcity and high cost of data, which significantly limit the development and application of machine learning models. This paper introduces a data-centric AI framework for EEG-based emotion recognition that emphasizes improving data quality rather than model complexity. Instead of proposing a deep architecture, we demonstrate how participant-guided noise filtering combined with systematic data augmentation can substantially enhance system performance across multiple classification settings: binary (high vs. low arousal), four-quadrant emotions, and seven discrete emotions. Using the SEED-VII dataset, we show that these strategies consistently improve accuracy and F1 scores, …

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A Usv Path Planning Algorithm Under Special Environment Based On Td3-Rrt, Jitong Chen, Jiajia Zhou, Di Wu, Hailong Jiang Nov 2025

A Usv Path Planning Algorithm Under Special Environment Based On Td3-Rrt, Jitong Chen, Jiajia Zhou, Di Wu, Hailong Jiang

Journal of System Simulation

Abstract: In view of USV path planning in special environments such as multiple obstacles, large-size obstacles, and narrow passages, the rapidly-exploring random tree (RRT) algorithm suffers from drawbacks such as a large sampling base, low success rate, and zigzagging planned path. To address these problems, a global path planning algorithm (TD3-RRT) was proposed based on the twin delayed deep deterministic policy gradient (TD3). The USV path search model was established by combining the RRT algorithm with deep reinforcement learning. Forward looking detection was used to sense the environment to adaptively adjust the step size. The path search direction was exported …

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Path Planning For Mobile Robots Based On Improved Artificial Potential Field Algorithm, Chi Zhang, Wei Wei Nov 2025

Path Planning For Mobile Robots Based On Improved Artificial Potential Field Algorithm, Chi Zhang, Wei Wei

Journal of System Simulation

Abstract: In view of the problems of unreachable target areas and easy local minima in traditional artificial potential field methods, an improved artificial potential field method was proposed. The improved algorithm optimized the repulsive field function by introducing obstacle angle factors and distance factors to control the repulsive force magnitude. At the same time, an additional repulsive force towards the target point was added to solve the problem of unreachable target areas in traditional algorithms. When the robot fell into a local minimum, by introducing turning towards obstacles and turning factors to accurately apply escape forces to the robot, the …

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Frank Giordano V. Andrews Hohns Nov 2025

Frank Giordano V. Andrews Hohns

2025 Decisions

USDC for the Eastern District of Pennsylvania

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Sectoral Exposure To Heat: Heterogeneous Impacts Of Extreme Heat On Workplace Accidents In Italy, Giovanni Marin, Aung Tun Oo Nov 2025

Sectoral Exposure To Heat: Heterogeneous Impacts Of Extreme Heat On Workplace Accidents In Italy, Giovanni Marin, Aung Tun Oo

Fondazione Eni Enrico Mattei Working Papers

This study examines how extreme heat affects workplace accidents in Italy’s various economic sectors. Using granular data by sector, day, and province (NUTS-3) for 2018–2024, we evaluate the contribution of occupational exposure as a source of diverse effects at the sector level. Our findings imply that while the average effects of extreme heat on workplace accidents are, at best, negligible, high temperatures significantly raise the frequency of medium-to-low severity accidents for sectors with high levels of exposure, while exposure and extreme heat alone do not account for fatalities.

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Adaptive Pi Control Using Recursive Least Squares For Centrifugal Pump Pipeline Systems, David A. Brattley, Wayne Weaver Nov 2025

Adaptive Pi Control Using Recursive Least Squares For Centrifugal Pump Pipeline Systems, David A. Brattley, Wayne Weaver

Michigan Tech Publications

Pipeline transportation of petroleum products remains one of the safest and most efficient methods of bulk energy delivery, yet overpressure events continue to pose serious operational and regulatory challenges. Traditional fixed-gain PI controllers, commonly used with centrifugal pump drives, cannot adapt to varying product densities or transient disturbances such as valve closures that generate water hammer. This paper proposes a self-tuning adaptive controller based on Recursive Least Squares (RLS) parameter estimation to improve safety and efficiency in pipeline pump operations. A nonlinear simulation model of a centrifugal pump driven by an induction motor is developed, incorporating pipeline friction losses via …

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A Qualitative Study Of Therapist Discomfort In The Treatment Of Problematic Pornography Use, Yehudah Alcabes Nov 2025

A Qualitative Study Of Therapist Discomfort In The Treatment Of Problematic Pornography Use, Yehudah Alcabes

Electronic Theses and Dissertations 2020 - Present

The purpose of this study was to examine the extent that discomfort occurs within therapists’ while treating Problematic Pornography Use (PPU). The study, predicated on the qualitative research design of thematic analysis, utilized semi-structured interviews with a sample of n=15 therapists to explore the following questions: (1) How do therapists describe discomfort in the treatment of PPU? (2) How do therapists experience discomfort in the treatment of PPU? And (3) How do therapists manage discomfort in the treatment of PPU? The findings of this study demonstrate the need to understand the unique nature of therapist discomfort in PPU. This study’s …

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Isolated Multiphase Series Capacitor Converters, Salahaldein Ali Rmila Nov 2025

Isolated Multiphase Series Capacitor Converters, Salahaldein Ali Rmila

Patents Granted

A multiphase power converter for converting electrical energy. The multiphase power converter includes at least one transformer providing isolation in the multiphase power converter. The multiphase power converter further includes a series capacitor in a series capacitor configuration. The multiphase power converter additionally includes a plurality of switches connected within the series capacitor configuration. Furthermore, the multiphase power converter includes a controller in electrical communication with the series capacitor and the plurality of switches, where the controller is configured to control power output by causing the plurality of switches to be switched according to a plurality of switching intervals of …

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Interpersonal Violence Within Same-Sex Relationships: Survivors’ Perspectives Of Counselor Competency, Cheryl Ann D' La Rotta Nov 2025

Interpersonal Violence Within Same-Sex Relationships: Survivors’ Perspectives Of Counselor Competency, Cheryl Ann D' La Rotta

Walden Dissertations and Doctoral Studies

Survivors of same-sex intimate partner violence (IPV) face negative mental health consequences. A lack of research exists on how social support, emotional and coping regulation, and counselors’ behaviors, knowledge, and skills affect the help-seeking behaviors and therapeutic outcomes of survivors of same-sex IPV. Addressing the gap is important because recent studies report an increase in same-sex IPV but low levels of help-seeking behaviors in response. If unaddressed, IPV can affect the well-being and safety of those partnered individuals. The purpose of this qualitative hermeneutic phenomenological study was to explore the experiences of same-sex IPV survivors who received therapeutic counseling. The …

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Integrating Successful Advanced Technology Adoption Strategies In Organizational Human Resource Management, Darnetta P. Franklin Nov 2025

Integrating Successful Advanced Technology Adoption Strategies In Organizational Human Resource Management, Darnetta P. Franklin

Walden Dissertations and Doctoral Studies

Human resource (HR) leaders in medium- to large-sized organizations across the Northeast United States continue to experience challenges when adopting advanced HR technologies, including artificial intelligence, virtual reality, blockchain, and cloud-based systems. HR leaders are concerned about employee resistance to change, limited training resources, and financial constraints, which hinder employee engagement and operational efficiency. Grounded in diffusion of innovations theory, the purpose of this qualitative pragmatic inquiry was to explore the strategies HR leaders implement to successfully integrate advanced HR technologies while maintaining workforce engagement and performance. The participants included six HR leaders from diverse industries with successful experience in …

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Wiggle Bots, Amber F. Rolph Nov 2025

Wiggle Bots, Amber F. Rolph

STEM for Success Showcase

No abstract provided.

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Implementation And Assessment Of The Openbci Platform As An Accessible Brain- Computer Interface, Jewell Norris Nov 2025

Implementation And Assessment Of The Openbci Platform As An Accessible Brain- Computer Interface, Jewell Norris

Honors Theses

OpenBCI is a low-cost, open-source platform for alternative brain-computer interface (BCI) software and hardware. This thesis evaluates OpenBCI’s electroencephalogram (EEG) and electromyography (EMG) capabilities by constructing and testing a 16-channel EEG system using the Ultracortex Mark IV headset and Cyton + Daisy biosensing board. The viability of the system was assessed through real-time BCI control and comparison to a clinical-grade EEG system. Real-time BCI control of an online falling-block game was tested via the use of eye blinks EMG (channels Fp1/Fp2) and head-tilt accelerometer inputs. The BCI game demonstrated reliable control despite minor latency and artifact sensitivity. For clinical comparison, …

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Depth-Variant Deconvolution Applied To Widefield Microscopy For Rapid Large-Volume Tissue Imaging, Daniel D Lee, Kevin A Telfer, Mark A J Koenis, Yim K Lee, Kevin W Namink, Brian T Saunders, Heyun Lee, Hailey Kelley, Heather S Ruiz, Joseph P Gaut, Gwendalyn J Randolph, Bernd H Zinselmeyer Nov 2025

Depth-Variant Deconvolution Applied To Widefield Microscopy For Rapid Large-Volume Tissue Imaging, Daniel D Lee, Kevin A Telfer, Mark A J Koenis, Yim K Lee, Kevin W Namink, Brian T Saunders, Heyun Lee, Hailey Kelley, Heather S Ruiz, Joseph P Gaut, Gwendalyn J Randolph, Bernd H Zinselmeyer

2020-Current year OA Pubs

Innovations in 3D tissue imaging have revolutionized research, but limitations stemming from lengthy protocols and equipment accessibility persist. Widefield microscopy is fast and accessible but often excluded from 3D imaging workflows due to its lack of optical sectioning. Here we combine tissue clearing with a commercial depth-variant deconvolution approach that we optimized for large-volume widefield imaging. By implementing prefiltering with z-brick splitting, we achieve subnuclear axial resolution in tissues to a depth of 500 µm in multi-tile scan images. We illustrate the utility of this method in a model of ileitis and to gain a 3D perspective in thick brain …

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Nursing Students As Advocates: Addressing Social Determinants Of Health Through Service-Learning, Rebekah Mullins Nov 2025

Nursing Students As Advocates: Addressing Social Determinants Of Health Through Service-Learning, Rebekah Mullins

Nursing Theses and Dissertations

Advocacy is at the heart of nursing practice, and advocating for the social determinants of health (SDOH) is crucial when providing care to patients from vulnerable populations. Service-learning is a strategy that can be used to teach students advocacy skills. Chapter 2 of this dissertation portfolio presents a concept analysis that explores the definition of advocacy using the Walker and Avant method (2019). The concept analysis informed the development of the case study presented in Chapter 3 and the research study presented in Chapter 4. The portfolio includes original, qualitative research that was guided by the interpretive descriptive method. The …

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Developing Interventions To Improve Future Age And Situation Specific Mask Wearing, John Knight, Barbara R. Medvec, Patrick Hammett Nov 2025

Developing Interventions To Improve Future Age And Situation Specific Mask Wearing, John Knight, Barbara R. Medvec, Patrick Hammett

Biennial Convention (CONV)

Background: Outcomes from the COVID-19 pandemic indicate that masks lower a person’s exposure to respiratory infections. The Centers for Disease Control and Prevention (CDC) continues to recommend situation-specific mask-wearing to protect oneself from COVID-19 variants and other viruses. Yet, the clinical community continues to struggle with targeting interventions to increase the likelihood of mask-wearing when the risk of virus exposure is higher in the post-pandemic environment. In this study, we applied the Health Belief Model (HBM) to identify the attitudes and beliefs influencing mask-wearing and recommend targeted interventions for low-frequency mask wearers in CDC recommended situations.

Methods: We administered a …

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Of Rollercoasters And Resilience: The Role Of Ceos’ Biases And Heuristics For Large Firms’ Technological Innovation, Cristina O. Vlas, Radu E. Vlas Nov 2025

Of Rollercoasters And Resilience: The Role Of Ceos’ Biases And Heuristics For Large Firms’ Technological Innovation, Cristina O. Vlas, Radu E. Vlas

International Journal of Applied Management and Technology

How do CEOs’ personality biases and motivational heuristics influence innovation in large firms? Because large-firm innovation is more common and less risky, overlooked factors—such as narcissism, self-monitoring, and promotion or prevention foci—become pivotal. Drawing on these traits, we found that narcissistic CEOs differ from self-monitoring CEOs in driving innovation. Moreover, the effect of self-monitoring CEOs depends on whether their regulatory focus is oriented toward promotion or prevention. However, this interplay between personality and motivation does not apply to narcissistic CEOs, suggesting that certain characteristics remain relatively fixed. These findings advance the understanding of how CEO traits shape large-firm innovation and …

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Improvement Of Slam Localization Accuracy In Ar By Enhancing Yolov8, Jia Liu, Zengwei Zhang, Dapeng Chen, Nanxuan Huang, Bin Wang, Hong Song Nov 2025

Improvement Of Slam Localization Accuracy In Ar By Enhancing Yolov8, Jia Liu, Zengwei Zhang, Dapeng Chen, Nanxuan Huang, Bin Wang, Hong Song

Journal of System Simulation

Abstract: In the presence of dynamic interference in the environment, traditional simultaneous localization and mapping (SLAM) methods often experience reduced precision and stability in the registration of virtual objects during three-dimensional registration in augmented reality (AR). To address these issues, an improved method for dynamic scenes based on semantic segmentation and optical flow tracking was proposed. The convolutional block attention module (CBAM) attention mechanism was incorporated into YOLOv8 to enhance its focus on dynamic objects in the environment, thereby improving detection performance and accuracy. The semantic segmentation functionality of the improved YOLOv8 was integrated into the front-end of ORB-SLAM3 to …

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Parking Space Reasoning Model For Complex Scenarios, Congling Zhou, Chunpeng Wang, Qiwei Xie, Yongqiang Wang, Lijun Shen Nov 2025

Parking Space Reasoning Model For Complex Scenarios, Congling Zhou, Chunpeng Wang, Qiwei Xie, Yongqiang Wang, Lijun Shen

Journal of System Simulation

Abstract: In the industrialization process of the combined driving assistance system, complex parking environments bring many challenges, such as occlusion of parking spaces, uneven lighting, and missed and false detections. To address these issues, a parking space reasoning model named PIPS-Net was proposed through PINet optimization. In terms of network architecture design, the model deeply integrated the stacked hourglass network with the recurrent feature-shift aggregator (RESA) to construct a context feature extraction architecture, which enhanced the feature reasoning ability in complex scenarios. Meanwhile, it reconstructed the output to meet the requirements of parking space detection tasks, thereby jointly improving the …

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Research On Vehicle Path Optimization Algorithms For Urban Logistics And Distribution, Zhenpeng Ma, Hanyang Jiao, Zhe Zhang, Cheng Liu, Bo Jiang, Lin Wang Nov 2025

Research On Vehicle Path Optimization Algorithms For Urban Logistics And Distribution, Zhenpeng Ma, Hanyang Jiao, Zhe Zhang, Cheng Liu, Bo Jiang, Lin Wang

Journal of System Simulation

Abstract: Existing optimization algorithms for solving the vehicle routing problem with time windows (VRPTW) are prone to fall into local optimal solutions and have slow convergence speed. To address this issue, a K-means clustering algorithm and improved large neighborhood search algorithm (K-means-ILNSA) was proposed. A strategy of clustering before optimization was adopted, and the K-means algorithm was adopted to group the customers to be delivered, so as to improve the optimization efficiency. The genetic algorithm was adopted to optimize each group of customers generated by clustering separately to initially plan the distribution routes. The large neighborhood search (LNS) algorithm was …

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Auv Path Planning Based On Behavior Cloning And Improved Dqn In Partially Unknown Environments, Lijing Xing, Min Li, Xiangguang Zeng, Ping Zhang, Bei Peng Nov 2025

Auv Path Planning Based On Behavior Cloning And Improved Dqn In Partially Unknown Environments, Lijing Xing, Min Li, Xiangguang Zeng, Ping Zhang, Bei Peng

Journal of System Simulation

Abstract: To address the problems of large randomness and slow convergence of the DQN dynamic path planning algorithm for a single autonomous underwater vehicle (AUV) in a partially unknown environment, a path planning method combining behavior cloning with A* algorithm and DQN (BA_DQN) was proposed. Based on the known environmental information, an improved A* algorithm incorporating ocean current resistance was proposed to guide DQN, thereby reducing the randomness of the DQN algorithm. By considering the complexity of the marine environment, the sampling probability was improved again after expanding the positive experience pool to enhance the training success rate. To address …

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Bayesian Network Parameter Learning Based On Ahp-Dst Fusion Of Expert Prior Knowledge, Haiyang Chen, Hongkai Lin, Zhifang Ren, Jing Liu, Jing Zhang Nov 2025

Bayesian Network Parameter Learning Based On Ahp-Dst Fusion Of Expert Prior Knowledge, Haiyang Chen, Hongkai Lin, Zhifang Ren, Jing Liu, Jing Zhang

Journal of System Simulation

Abstract: Aiming at the problem of low accuracy of BN parameter learning due to the uncertainty of a single expert prior knowledge under the condition of small sample data set, a BN parameter learning method based on AHP-DST fusion expert prior knowledge was designed. The synthetic prior knowledge of experts was calculated by using the thought of analytic hierarchy process combined with the rules of evidence theory synthesis. The expert comprehensive prior knowledge was added to the normal distribution and combined with the monotonicity constraint to obtain the virtual sample information. The virtual sample information was added to the Bayesian …

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Attitude Control Of Quadrotor Uav Based On Disturbance Observer And Command Filtering, Boning Li, Ming Chen, Shuchang Qi, Haoran Meng, Lei Wang Nov 2025

Attitude Control Of Quadrotor Uav Based On Disturbance Observer And Command Filtering, Boning Li, Ming Chen, Shuchang Qi, Haoran Meng, Lei Wang

Journal of System Simulation

Abstract: A finite-time fault-tolerant control scheme based on backstepping was proposed for the attitude tracking control problem of quadrotor UAVs. A finite-time neural network disturbance observer was designed, which could quickly compensate for the impacts of actuator failures and external disturbances, thereby enhancing the system's robustness. A first-order command filter and a compensation mechanism were introduced, which could avoid the computational complexity caused by differentiating the virtual control law and eliminate the influence of filtering errors. The hyperbolic tangent function was selected as the constraint function for the input torque, which restricted the input signal to prevent excessive magnitude …

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