Digital Commons Network^™

Mixed Reality Environment Time Selection Using A Wrist Device, Samuel Wu

Defensive Publications Series

A computer-implemented method comprising: providing a time selection user interface element; receiving, using the time selection user interface element, a time selection; and generating, according to the time selection, a past state of a mixed reality environment, the past state depicting the mixed reality environment at a previous time corresponding to the time selection.

Hypothetical Learning Trajectory Of Sector Area And Arc Length Using The Clockwork Context, Ellis Salsabila, Mimi Nur Hajizah

PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika

Students' understanding on the concept of a circle especially the relationship between central angle, arc length, and sector area of the circle based on learning obstacle and learning trajectory need to be developed well by creating a good didactic design. Therefore, it is necessary to design hypothetical learning trajectories (HLT) for students in learning sector area and arc length using the clockwork context. The didactical design was developed through three stages, namely: (1) the preliminary design; (2) teaching experiment; and (3) retrospective analysis. This study focused on the first stage, since the main purpose of this research was to develop …

Siapkah Siswa Smp Menghadapi Digital Learning Pada Pembelajaran Matematika?, Wahyu Setyaningrum, Ponco Handayawati, Heri Retnawati, Kana Hidayati, Nur Lailatul Azizah, Maria Ulfah, Abdul Halim Abdullah

PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika

In this digital era, the world of education is required to keep up with the times. One of them is the application of digital learning. Digital learning is also often applied in mathematics learning. This research aims to map digital literacy competencies in mathematics learning for junior high school students in Purworejo Regency. This type of research is survey with a quantitative approach. This research was conducted at six junior high schools in Purworejo Regency with high, medium, and low strata based on National Mathematics Examination scores. The sample of this study was 171 students of eighth grade junior high …

Enchanting Math Audiblebook: Insights From Teachers, University Students, And Young Learners, Jesi Alexander Alim, Cici Oktaviani, Neni Hermita, Zetra Hainul Putra

PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika

Reading is an essential activity of learning. In this study, the researchers investigated the opinions of elementary school teachers, university students majoring in elementary school teacher education, and elementary school students on the mathematics audible book "Asyiknya Bermain Setatak”. The researchers distributed questionnaires to collect the data. Data collection was carried out randomly using the random sample method. The respondents comprised 75 people (9 elementary school teachers, 53 university students majoring in elementary school teacher education, and 13 elementary school students) in Pekanbaru, Riau. The data were analyzed using Rasch Model with item response theory (IRT). Based on the data …

Trends Stability Of Reliability Coefficient Based On Sample Size And Ability Of Test-Takers, Busnawir Busnawir, Kodirun Kodirun, Zamsir Zamsir, Hafiludin Samparadja, Hasnawati Hasnawati

PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika

One aspect that needs to be considered in the assessment of learning outcomes is the quality of the test by a stable reliability coefficient. This study aims to determine the trend of the stability of the reliability coefficient of the mathematics formative test based on the sample size and the ability of the test takers. The study was experimental in the form of a simulation, using a population of scores based on the answers of 403 test takers. The research sample was taken from the population of scores with 19 variations in sample sizes. Each sample size was repeated 31 …

Framing Foreignness In Sports: The Effect Of Text And Image Frames On Attitudes Toward Australian College Punters, James Bingaman

Journal of Issues in Intercollegiate Athletics

In recent years, there has been an influx of Australian college punters receiving significant media attention. This media coverage often emphasizes these athlete’s “foreignness” by relying on cultural stereotypes. Existing research has shown that the framing of athletes – both text and image frames – can influence individuals’ attitudes and perceptions. Using a 2 x 3 (two textual frames x three visual frames) experimental design, this study sought to test the effects of “foreignness” framing on attitudes toward Australian punters and punters more broadly. The results offer several directions for sports media scholars to examine media effects related to the …

A New Power Airflow Harvester Improves Grass Seed Yield And Quality In Central Queensland, Australia, J H. Wildin, Dingfa Zhou, A Dobson

IGC Proceedings (1977-2023)

Most perennial tropical grasses produce new seedheads over a period extending up to 4 weeks, Seeds mature and ripen up to 4 weeks after inflorescence emergence. The dilemma for seed producers using one­pass harvesting has been to time the harvesting operation to maxmise. recovery of mature seed, Harvested immature seeds and inert material adversely affect seed purity and germination tests. Light fluffy seeds such as buffel and bluegrasses are generally difficult to harvest with grain crop harvesters, and paddle beater harvesters have been used for simplicity and economy. Over the last 3 years, tractor-mounted brush harvesters using 4 rows of …

Mechanical Harvesting And Processing Of Temperate Zone And Tropical Pasture Seed, J M. Hopkinson, P.T P. Clifford

IGC Proceedings (1977-2023)

Temperate zone herbage seed harvesting continues to evolve round combine•harvesters designed principally for large-seeded grain and pulse crops. Most research emphasis has been placed on increasing efficiency of systems for presenting the crop to the auger platform. Timing of harvest, precutting treatment, cutting and pickup alternatives including airblast assistance vary in relation to species and environmental conditions. With the development of drying-cooling systems considerable advantages in the harvesting and processing of grass seed have occurred. An understanding of the range and use of seed cleaning equipment available to meet purity standards is given, along with additional options to meet end.user …

An Open Approach To Clinical Study Recruitment Automation, Andrew Bouras, Andrew Bouras, Dhruv Patel, Rahul Kataria

HCA-NSU MD Research Day

Objective: To present an innovative Patient Recruitment Automation System that leverages open standards and promotes open data in clinical research. Background: Patient recruitment for clinical studies faces challenges in efficiency, data security, and regulatory compliance. These issues can delay research timelines and impact healthcare advancements. Methods: We developed a system that integrates with Electronic Health Record (EHR) systems to identify potential participants using predefined criteria. The platform employs Azure-based infrastructure with advanced data protection techniques, ensuring HIPAA compliance. It features an automated screening process using adaptive questionnaires and a communication module for participant engagement. Results: The system demonstrates improved efficiency …

Advancements In Sacroiliac Joint Dysfunction Treatment: The Need For Protocol Shifts For H-Eds/Hsd Patients Driven By A New Sij Fusion Procedure, Samuel Sklar, Vladimir Beljanski

HCA-NSU MD Research Day

Objective: This narrative review examines advancements in sacroiliac joint (SIJ) dysfunction treatments and current protocols, focusing on patients with hypermobile Ehlers-Danlos Syndrome (h-EDS) and hypermobility spectrum disorders (HSD), while also considering other related pathologies. Background: SIJ dysfunction is common in patients with h-EDS and HSD, often causing lower back and pelvic pain, dislocations, and subluxations. Treatments are usually non-surgical and continuous regimens. Over the last 15 years, SIJ fusion has shown notable improvements in pain relief, disability reduction, and recovery times. The new iFUSE Implant System is engineered to minimize patient risk while providing enhanced joint stability. Current treatment protocols, …

Use Of Electrical Bone Growth Stimulators In High-Risk Patients Following Spinal Fusion, Soumya Malhotra, Khavir Sharieff

HCA-NSU MD Research Day

Title: Use of Electrical Bone Growth Stimulators in High-Risk Patients Following Spinal Fusion Authors: Soumya Malhotra, BA., MS1 & Khavir Sharieff, DO, MBA2 1Class of 2027, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, FL 2Assistant Professor of Surgery, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Tampa Bay, FLNova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine Objective: This study aimed to elucidate the advantages of EBGSs following high-risk spinal fusions. Background: Pseudarthrosis is a condition where bones fail to fuse after an injury or surgery. It causes significant …

The Lived Experience Of The English As A Second Language Rn-Bsn Degree Completion Student Integrating To An Online Learning Environment, Sonique Sailsman

Dissertations

The purpose of this study was to explore the lived experience of RN-BSN ESL nursing students who are engaged in learning online and understanding their process of cultural integration.

Collapse Of Pre-Covid-19 Differences In Performance In Online Vs. In-Person College Science Classes, And Continued Decline In Student Learning, Gregg R. Davidson, Hong Xiao, Kristin Davidson

Faculty and Student Publications

Abstract: Studies comparing student outcomes for online vs. in-person classes have reported mixed results, though with a majority finding that lower-performing students, on average, fare worse in online classes, attributed to the lack of built-in structure provided by in-person instruction. The online/in-person outcome disparity was normative for non-major geology classes at the University of Mississippi prior to COVID-19, but the difference disappeared in the years after 2020. Previously distinct trendlines of GPA-based predictions of earned-grade for online and in-person classes merged. Of particular concern, outcomes for in-person classes declined to match pre-COVID-19 online expectations, with lower-GPA students disproportionally impacted. Objective …

An Exploratory Analysis Of Drug Arrest Cases Among Police Officers, Nikolas King, Eric M. Cooke, Philip M. Stinson

Criminal Justice Faculty Publications

Few studies have examined offender characteristics, conviction outcomes, and employment outcomes of officers who have engaged in drug-related crimes. This study explores drug-related criminal arrest cases committed by non-federal sworn law enforcement officers. The purpose of this study is to explore and describe the characteristics of police officers who have committed drug-related crimes. This study uses data involving criminal arrest cases from 2005-2019 from the Henry A. Wallace Police Crime Database (N = 18,032 criminal arrest cases within N = 14,722 officers) to examine the individual characteristics, offense characteristics, criminal case disposition, and employment outcome characteristics of officers who have …

Analyzing Factors Associated With Civil Rights Violations In Police-Citizen Interactions: Insights From The Henry A. Wallace Police Crime Database, Aubrey L. Hill, Molly A. Whetstone, Eric M. Cooke, Philip M. Stinson

Criminal Justice Faculty Publications

Criminal deprivation of civil rights occurs when an individual’s rights, as guaranteed by law, are infringed upon or denied based on their membership in a protected class or when a police officer acts under the color of law to violate someone’s federally protected rights. Previous research has found that officer characteristics (e.g., age and experience) and suspect characteristics (e.g., age, race, and gender) may influence the likelihood of a civil rights violation occurring during a police-citizen interaction. Few studies, however, have explored the factors linked to civil rights violations using a large, nationally representative, dataset. This study uses data from …

Accountability For Unethicality: Monitoring, Policy, And Individual Attitudes, Sara Marie Lewis

Dissertations

This research examines the mechanisms that can be used to reduce unethical behaviors, as well as their influence on employee attitudes (e.g., trust, justice, job satisfaction, and organizational commitment). Using an experimental design, participants were exposed to varying levels of accountability, monitoring, and policy to examine their interaction effects on unethical behaviors and attitudes. Two significant interactions emerged when looking at the mechanism's influence on attitudes. Policy clarity had a significant main effect on employee justice perceptions, with vague policies reducing perceptions of justice. The interaction between clear policy and accountability significantly impacted justice perceptions, highlighting the value of accountability …

Effects Of Sex And Estrous Cycle On Extended-Access Oxycodone Self-Administration And Cue-Induced Drug Seeking Behavior, Bhumiben P Patel, Jessica A Loweth

Rowan-Virtua School of Osteopathic Medicine Departmental Research

INTRODUCTION: Increasing evidence indicates that sex is a factor that impacts the abuse liability and relapse vulnerability of prescription opioids like oxycodone. However, while women are more likely than men to be prescribed and to use these drugs, the impact of sex and ovarian hormones on prescription opioid use and relapse vulnerability remains unclear. Accurately assessing these measures is complicated by the fact that chronic opioid exposure can lower ovarian hormone levels and cause cycle irregularities.

METHODS: Adult male and female Sprague-Dawley rats self-administered oxycodone (0.1 mg/kg/infusion) under extended-access conditions (6 h/day, 10 days) followed by forced abstinence. Separate groups …

Commonwealth Times 2024-11-13

Commonwealth Times, 1969-

No abstract provided.

Platform Path Optimization Method Based On Cumulative Detection Probability Of Sonar Search, Xiang Wei, Xingxuan Liu, Dianzheng Fu, Tianji Yang, Jiaxuan Yang

Journal of System Simulation

Abstract: To address the lack of research on the optimal path of mobile search platform to search for moving targets, this paper proposes a path optimization method of mobile search platform based on cumulative search probability theory. Based on the cumulative detection probability (CDP), one of the important criteria of sensor performance evaluation, a single-peak CDP calculation formula is constructed by using a time series correlation model, namely the (λ, σ) process model. A set of target motion scenarios are constructed, and the trajectory probability of target scenarios and their CDP at different time are corrected by Bayesian posterior probability. …

November 13, 2024 (Vol. 109, No. 12), Daily Eastern News

Daily Eastern News: 2024-2025

No abstract provided.

Modeling For Decision Support Of Flight Ground Support Process, Zhiwei Xing, Ruiwen Yu, Biao Li, Zhaoxin Chen

Journal of System Simulation

Abstract: Aiming at the problems of insufficient decision-making ability and low operational efficiency of the flight ground support process, a decision support model of the flight ground support process based on the department of defense architecture framework (DoDAF) is proposed. Starting from the support operation, support resources, and the relationship between them, the quantitative description of the flight ground support process is performed. DoDAF and the model-based systems engineering (MBSE) modeling method are combined to establish a decision support model of the flight ground support process. The decision utility function is established to analyze the utility value of the comprehensive …

End-To-End Motion Planning Of Unmanned Vehicles Based On Multimodal Deep Reinforcement Learning, Kaiyuan Ding, Askar Hamdulla, Bin Zhu, Eksan Firkat, Zhengtang Ma

Journal of System Simulation

Abstract: Since the agent cannot sense the surrounding environment and cannot successfully avoid obstacles, reinforcement learning fails to be generalized to robot motion planning in difficult terrain. Therefore, a solution based on multimodal deep reinforcement learning, which learns to blend proprioceptive states with high-dimensional depth sensor inputs, is proposed for the motion planning of unmanned vehicles. To be specific, proprioceptive states offer contact measurement for immediate reaction, and the unmanned vehicle can learn and forecast environmental changes with its attached visual sensors, proactively navigating around obstacles and uneven terrains numerous time steps ahead. TransProAct (transformer-based proactive action), a unique end-to-end …

Flexible Job Shop Scheduling Method Based On Collaborative Agent Reinforcement Learning Algorithm, Jian Li, Huankun Li, Pengbo He, Huabei Wang, Liping Xu, Kui He

Journal of System Simulation

Abstract: To enhance the efficiency of flexible job shop scheduling, this paper develops a Markov decision process with specific constraints tailored to the scheduling problem. A cooperative agent reinforcement learning method is proposed to solve the problem of concurrent selection of workpieces and machines. During the construction of the Markov decision process, a disjunctive graph is introduced to represent the state characteristics. Two agents are introduced to select the workpieces and machines. The reward parameters governing the entire scheduling process are established by predicting variations in the minimum-maximum completion time across different time points. A GIN(graph isomorphic network) graph neural …

Dual-Resource Constrained Distributed Flexible Scheduling For Aerospace Structural Components, Yufang Wang, Dianqing Zhang, Xiaolin Hua, Binbin Yao, Fan Chen

Journal of System Simulation

Abstract: A dual-resource constrained distributed flexible job-shop scheduling model was established by taking into account the worker constraints of the finishing process and the requirements of distributed multi-factory collaboration in the production of aerospace structural components. A hybrid grey wolf optimization algorithm based on the critical factory was proposed to solve this problem. The model contained four subproblems: factory selection, operation sequencing, machine selection, and worker selection. In view of these four sub-problems, a four-layer coding and a new decoding method were designed to avoid the use conflict of machines and workers. In addition, a new mechanism for hunting and …

Efficient Smartphone Sensor Analysis For Behavioral Profiling In Transportation Research: A Case Study Of Driver And Passenger Classification, Wilson Lozano, Tempestt Neal

Research Reports

Our study investigates smartphone sensor data for classifying drivers and passengers, aligning with our original proposal to enhance multimodal transportation data collection via the OneBusAway app. We address challenges in balancing data quality with smartphone resource constraints and find that shorter data collection windows significantly improve classification performance. Additionally, feature standardization and selection enhance accuracy, particularly during extended data periods, supporting our goal of refining data quality from open-source platforms. These insights advance our objectives by optimizing data efficiency and supporting the real-world applicability of intelligent models in transportation safety and efficiency.

University Philharmonic Orchestra & Chamber Ensembles

Bailey School of Music Concert Programs

Nancy Conley, Conductor

Advanced Strategies For Improving The Robustness Of Deep Learning, Keyu Chen

USF Tampa Graduate Theses and Dissertations

Machine Learning (ML) and Deep Learning (DL) have achieved great success across diverse fields in the last decades, such as facial recognition, medical diagnosis, and language translation. The success, however, largely hinges on the assumption that the training and testing data share the same distribution or domain. In practice, real-world data often exhibits domain shifts, leading to notable degradation in model performance. Hence, the generalization capability of machine lea=rning models is of great importance, which refers to the domain generalization problem. In this dissertation, we present DADG, an effective algorithm for domain generalization, aiming to learn domain-invariant features from seen …

Investigating Mechanical Properties For Developing A Human Infant Cranial Bone Surrogate In Pediatric Craniofacial Surgery, Devansh Saini

All Faculty Scholarship

Beyond the surgeon’s feedback on bone behavior in the operating room, there is a paucity of data present in the literature on the mechanical properties of pediatric calvarial bone. The present study tested the calvarial bone of four species (Adult Humans, Dog, Pig, and Monkey) to find the mechanical properties. Three types of tests were performed; flexural, compression, and torsion to mimic how bone is handled during the surgery and the results were further compared with the existing published data for human pediatric calvarium. Test results indicated a significant difference between the modulus (p = 0.006 for flexural, 0.0002 for …

Automatic Detection Algorithm For Typical Defects Of Substation Based On Improved Yolov5, Zhongkai Xu, Yanling Liu, Xiaojuan Sheng, Chao Wang, Wenjun Ke

Journal of System Simulation

Abstract: In response to the challenges present in the context of defect recognition in substations, such as complex substation defects and sample imbalance, an improved YOLOv5 algorithm was proposed. The Transformer model was introduced into the YOLOv5 network structure, leveraging the self-attention mechanism to capture long-range dependencies among features. A focal loss-based optimization was employed to improve the loss function, as well as the detection accuracy and robustness of defects of small sample substations. To meet the requirements of substation defect recognition, a dedicated dataset was constructed. A clustering algorithm was applied to the real annotation boxes to generate more …

Scalable Methods For Performant Control Of Hyperfine Qubits In Atoms And Ions, Matthew N. H. Chow

Physics & Astronomy ETDs

Qubits encoded within internal energy levels of atoms and ions have been used to demonstrate high-performance primitives of quantum computing for small numbers of qubits. Yet, the path to achieving sufficient size and fidelity for useful fault-tolerant quantum computation remains daunting. In this dissertation, I present several techniques I developed as steps along this path. These results include high-fidelity, low-loss detection for alkali atoms in optical tweezers, crosstalk-mitigated parallel one-qubit gates, robust entangling gates on trapped ions, and leakage-to-erasure conversion for non-destructive detection of atom loss errors. Through this collection of techniques, I have sought to make full use of …