Digital Commons Network^™

Technology-Enhanced Personalized Learning: Lessons From Online Teaching At Three South-East Asian Universities, Kiran Kaur, Rohaida Mohd Saat, Lieven Demeester, Magdeleine Lew, Wei Leng Neo, Nopphol Pausawasdi, Thasaneeya Ratanaroutai Nopparatjamjomras

Research Collection Lee Kong Chian School Of Business

Online teaching during the COVID-19 pandemic compelled many instructors to seek efficient and effective ways to stay connected with their students and improve the learning experience by using a wide range of available technologies. This multiple-case study, in three South-East Asian universities, investigated whether the use of technology in university teaching and learning during that period influenced personalized learning, and if so, how. The study also explored the kinds of institutional support for teachers and learners that led to increased technology-enhanced personalized learning (TEPL). Using a qualitative approach, the study analyzed 23 individual interviews and 3 document analyses (circulars, announcements, …

Selling Homemade Food Products In New Hampshire The Basics - Part Two [Fact Sheet], Mary S. Choate

UNH Cooperative Extension

No abstract provided.

2025 Farmers' Market Webinar Series, Extension

UNH Cooperative Extension

No abstract provided.

Improving Outcomes Of Depression Through Implementation Of Depression Screenings At A College Health Center, Shelby Leigh Hanigan

Electronic Theses and Dissertations

Depression is a common phenomenon. Depression and suicidality are a problem on university campuses. This quality improvement Doctor of Nursing project aimed to establish the importance of routine depression screenings within a college health clinic. The purpose of this project was to determine if implementing routine depression screenings at a university health clinic will or will not increase the number of counseling referrals when compared to the absence of depression screenings in place within an identified timeframe. This protocol screened for depression in college-aged students and suggested care to those students who screened positive. It also led an interprofessional team …

Advisor Satisfaction To Support Online Student Retention, Erica K. Whiddon

Electronic Theses and Dissertations

In this dissertation, the researcher explored the relationship between satisfaction with academic advising and online student retention. Online student retention is a critical issue in the context of increasing competition for students in higher education institutions. The specific problem was that online students have lower retention rates, and the reasons students typically select online degree programs are also the reasons they drop out of their degree programs. The purpose was to identify whether students’ reported satisfaction with their advisors mediated the relationship between the existence of external personal life factors and retention. A quantitative nonexperimental causal-comparative and correlational research design …

K–12 Educators’ Use Of Technology And Experiences With Technostress: A Case Study, Greg Blair Pittman

Electronic Theses and Dissertations

Abstract

This dissertation explored the increased use of technology in K–12 classrooms, which is causing educators to experience technostress. The purpose of the qualitative, descriptive, single case study was to explore the experiences of K–12 teachers with technology and technostress—techno-insecurity, techno-invasion, techno-complexity, techno-uncertainty, and techno-overload—in a West Texas private school district. The researcher conducted one-to-one interviews with seven K-12 educators and two senior leadership team members. In addition, open-ended online questionnaires were available for K–12 educators and senior leadership team members. Thematic analysis was used to locate and communicate the findings. The principal research question was: How do K–12 classroom …

The Future For Sport Officiating Research: An Expert Statement, Tom Webb, David J. Hancock, Matthew Weston, Stacy M. Warner, Werner F. Helsen, Clare Macmahon, Noel Brick, Roy D. Samuel, Jacob K. Tingle

School of Business Faculty Research

Research, coverage, and understanding in sport officiating related scholarly activity have increased markedly in the last decade. Sport officials (referees, judges, umpires) have been historically underrepresented in the sport management, psychology, and physiology literature, but this collection of experts provides avenues for collaboration and exploration that can contribute to understanding systems, individuals, and initiate real-world changes for sporting organisations, policy makers, and officials themselves. Focused and organised around the key research areas and priorities of physiology, decision making, psychology, mental health, management, and training and development, this statement offers detail on the development of the research and associated literature and …

Validation Of A Brief Food Parenting Measure For Fathers: A Test Of Factorial Validity, Measurement Invariance, Internal Reliability, And Concurrent Validity, Brian K. Lo, In Young Park, Melissa Mcternan, Yilin Wang, Alejandra Cantu-Aldana, Brent A. Mcbride, Katherine W. Bauer, Jess Haines, Kirsten K. Davison

School of Medicine Publications

Fathers are underrepresented in food parenting research partly due to the lack of succinct, theory-informed, and father-mother equivalent food parenting measurement tools. To address this, we 1) tested the factorial validity of a brief food parenting measure utilizing a subset of items from the Comprehensive Feeding Practices Questionnaire (CFPQ) to represent coercive control, structure, and autonomy support, 2) assessed the extent to which the brief tool works similarly in fathers and mothers (i.e., measurement invariance), and 3) evaluated its internal reliability and concurrent validity. Participants included 1071 fathers of children aged 2–6 years and 487 of their co-parents (mothers) from …

Predictors Of Bi-Directional Transitions From Mild Cognitive Impairment In A Diverse Cohort, Mitzi M. Gonzales, Roman Fernandez, Sarah Kremen, Zaldy S. Tan, Amy E. Werry, Xueqiu Jian, John Hart, Donald Royall, Gladys Maestre, Sara Espinoza

School of Medicine Publications

Trajectories following a diagnosis of mild cognitive impairment (MCI) are varied and may fluctuate over time. Among diverse ethnic and racial groups, social factors, medical comorbidities, and biases in assessment procedures may contribute to greater heterogeneity in the MCI diagnostic category and affect its prognostic significance for dementia. The study goal was to evaluate the frequency and variables associated with MCI transitions among non-Hispanic White (NHW) and Latinx older adults. Multistate Markov models characterized transitions across diagnostic states (cognitively unimpaired (CU), MCI, dementia) over ten years. Variables associated with transitions were assessed using hazard ratios (HR) and 95% confidence intervals …

The Internist's Post V.1 N.12, The University Of Texas Rio Grande Valley. School Of Medicine, Eunbee Cho, Jian Garcia Cruz, Ramon Elizondo Romo, Barbara Malaga-Espinoza, Carlos Alejos Aguero, Osiris Fernandez, Roque Mifuji Lira, Martha Solis, Cesar Gutierrez

School of Medicine Publications

No abstract provided.

Trastornos Neurocognitivos, Depresión Y Factores Sociodemográficos En Habitantes De La Orinoquía-Amazonía De Colombia: Análisis Secundario Del Estudio Sabe [Neurocognitive Disorders, Depression, And Sociodemographic Factors In Residents Of The Orinoquia-Amazon Region Of Colombia: Secondary Analysis Of The Sabe Study], Maria Del Pilar Santacruz-Ortega, Bertha Lucia Avendaño-Prieto, Sonia Gisela Rios Cruz, Silvia Mejia-Arango

School of Medicine Publications

A partir de un análisis secundario de los datos derivados del estudio SABE Colombia 2015, con 1394 adultos de 60 años o más, se identificó el papel mediador de diferentes variables sociodemográficas y de calidad de vida en la relación entre depresión y trastornos cognoscitivos (leve y demencia) en el adulto mayor residente en la región de la Orinoquía-Amazonía de Colombia. Las asociaciones entre las variables de estudio (depresión y trastornos cognoscitivos) se establecieron con la prueba chi cuadrado, cuyo valor y significancia fueron χ² = 230.2 y p = .00. Los análisis de mediación se realizaron con el programa …

Task-Rest Reconfiguration Efficiency Of The Reward Network Across Adolescence And Its Association With Early Life Stress And Depressive Symptoms, Yoonji Lee, Justin P. Yuan, Anderson M. Winkler, Katharina Kircanski, Daniel Samuel Pine, Ian H. Gotlib

School of Medicine Publications

Objective

Adolescents face significant changes in many domains of their daily lives that require them to flexibly adapt to changing environmental demands. To shift efficiently among various goals, adolescents must reconfigure their brains, disengaging from previous tasks and engaging in new activities.

Method

To examine this reconfiguration, we obtained resting-state and task-based fMRI scans in a community sample of 164 adolescents. We assessed the similarity of functional connectivity (FC) of the reward network between resting state and a reward processing state, indexing the degree of reward network reconfiguration required to meet task demands. Given research documenting relations among reward network …

Beta-Blockers After Pci For Stable Coronary Artery Disease And Preserved Left Ventricular Ejection Fraction, Safi U Khan, Usman Ali Akbar, Muhammad Shahzeb Khan, Kershaw V Patel, Amna Nadeem, Samarth Thakkar, Hassaan B Arshad, Salim S Virani, Khurram Nasir, Sachin S Goel, Alpesh R Shah, William Zoghbi, Neal S Kleiman

Faculty, Staff and Students Publications

Background: Limited data exist on the long-term impact of beta-blocker therapy after percutaneous coronary intervention (PCI) in patients with stable coronary artery disease (CAD) and preserved left ventricular ejection fraction (LVEF).

Objectives: The aim of the study was to evaluate the effects of early beta-blocker initiation vs no initiation following PCI in patients with stable CAD and preserved LVEF.

Methods: This retrospective cohort study employed target trial emulation and incident user design, utilizing the TriNetx database (2009-2024). Early beta-blocker initiation (within days 1 and 7) was compared with no initiation using 1:1 greedy propensity score matching. The outcomes included all-cause …

Regulation Of Artificial Intelligence In Healthcare: Clinical Laboratory Improvement Amendments (Clia) As A Model, Brian R Jackson, Mark P Sendak, Anthony Solomonides, Suresh Balu, Dean F Sittig

Faculty, Staff and Student Publications

Objectives: To assess the potential to adapt an existing technology regulatory model, namely the Clinical Laboratory Improvement Amendments (CLIA), for clinical artificial intelligence (AI).

Materials and methods: We identify overlap in the quality management requirements for laboratory testing and clinical AI.

Results: We propose modifications to the CLIA model that could make it suitable for oversight of clinical AI.

Discussion: In national discussions of clinical AI, there has been surprisingly little consideration of this longstanding model for local technology oversight. While CLIA was specifically designed for laboratory testing, most of its principles are applicable to other technologies in patient care. …

Emr-Lip: A Lightweight Framework For Standardizing The Preprocessing Of Longitudinal Irregular Data In Electronic Medical Records, Jiawei Luo, Shixin Huang, Lan Lan, Shu Yang, Tingqian Cao, Jin Yin, Jiajun Qiu, Xiaoyan Yang, Yingqiang Guo, Xiaobo Zhou

Faculty, Staff and Student Publications

Objective: Longitudinal data from Electronic Medical Records (EMRs) are increasingly utilized to construct predictive models for various clinical tasks, offering enhanced insights into patient health. However, significant discrepancies exist in preprocessing the irregular and intricate EMR data across studies due to the absence of universally accepted tools and standardization methods. This study introduces the Electronic Medical Record Longitudinal Irregular Data Preprocessing (EMR-LIP) framework, a lightweight approach for optimizing the preprocessing of longitudinal, irregular EMR data, aiming to enhance research efficiency, consistency, reproducibility, and comparability.

Materials and methods: EMR-LIP modularizes the preprocessing of longitudinal irregular EMR data, offering tools with a …

Evaluating Generalizability Of Oncology Trial Results To Real-World Patients Using Machine Learning-Based Trial Emulations, Xavier Orcutt, Kan Chen, Ronac Mamtani, Qi Long, Ravi B Parikh

Faculty, Staff and Student Publications

Randomized controlled trials (RCTs) evaluating anti-cancer agents often lack generalizability to real-world oncology patients. Although restrictive eligibility criteria contribute to this issue, the role of selection bias related to prognostic risk remains unclear. In this study, we developed TrialTranslator, a framework designed to systematically evaluate the generalizability of RCTs for oncology therapies. Using a nationwide database of electronic health records from Flatiron Health, this framework emulates RCTs across three prognostic phenotypes identified through machine learning models. We applied this approach to 11 landmark RCTs that investigated anti-cancer regimens considered standard of care for the four most prevalent advanced solid malignancies. …

Transcriptome Size Matters For Single-Cell Rna-Seq Normalization And Bulk Deconvolution, Songjian Lu, Jiyuan Yang, Lei Yan, Jingjing Liu, Judy Jiaru Wang, Rhea Jain, Jiyang Yu

Faculty, Staff and Student Publications

The variation of transcriptome size across cell types significantly impacts single-cell RNA sequencing (scRNA-seq) data normalization and bulk RNA-seq cellular deconvolution, yet this intrinsic feature is often overlooked. Here we introduce ReDeconv, a computational algorithm that incorporates transcriptome size into scRNA-seq normalization and bulk deconvolution. ReDeconv introduces a scRNA-seq normalization approach, Count based on Linearized Transcriptome Size (CLTS), which corrects differential expressed genes typically misidentified by standard count per 10 K normalization, as confirmed by orthogonal validations. By maintaining transcriptome size variation, CLTS-normalized scRNA-seq enhances the accuracy of bulk deconvolution. Additionally, ReDeconv mitigates gene length effects and models expression variances, …

World Transit Research February 2025 Newsletter, Institute Of Transport Studies Monash University

World Transit Research Newsletter

No abstract provided.

A Neutrosophic Approach To Robust Web Security: Mitigating Xss Attacks, A. A. Salama, El-Said F. Aboelfotoh, Hazem M. El-Bakry, Huda E. Khalid, Ahmed K. Essa, Ramiz Sabbagh, Doaa S. El-Morshedy

Neutrosophic Sets and Systems

Cross-Site Scripting (XSS) is one of the most grievous vulnerabilities-a pitfall through which web applications are affected. These types of attacks are complex, and the available threat landscape is always changing, making it hard for conventional security tools to effectively detect or prevent these types of attacks. We present here an approach that detects and prevents XSS attacks on Web pages. Since Neutrosophism works with different kinds of data, it aims at the validity degree of the attack. This way the system understands the different types of attacks and allows the system to act more effectively. Our system combines (1) …

The Role Of Triangular Fuzzy Neutrosophic Set-Based Qualiflex In Enhancing University Dance Instruction Assessment, Yu Zhao

Neutrosophic Sets and Systems

The evaluation of university dance teaching quality involves a multi-dimensional approach, including the achievement of teaching objectives, the scientific and innovative nature of course content, the diversity of teaching methods, instructors' professional competence, and students' participation and progress. It uses both quantitative and qualitative analysis, incorporating student feedback and classroom observation to ensure comprehensive assessment. Continuously optimizing teaching strategies, enhances students' artistic literacy and overall abilities, supporting the development of high-level dance talent. The college dance teaching quality evaluation is multiple attribute decision-making (MADM). Recently, the QUALIFLEX method has been established to cope with MADM issues. The triangular fuzzy neutrosophic …

On Quick Switching System With Different Sampling Plans Using Fuzzy Neutrosophic Weighted Poisson Distribution, Vennila J, Basker P, Kripa Josten, Prakash V.S

Neutrosophic Sets and Systems

The present study provides a new sampling inspection approach to costly and destructive testing that involves the concept of neutrosophic and fuzzy logic in a quick switching system with a normal SSP and a tightened DSP as a reference plan using weighted poisson distribution as a baseline. It includes the neutrosophic and fuzzy weighted poisson distribution associations of this approach, along with normal and tightened acceptance numbers using OC functions, and OC curves using R programming. It strongly focuses on a new sampling approach that uses fuzzy logic for effectively dealing with inconsistent and uncertain terms. And Also, these sets …

A Neutrosophic Superiority And Inferiority Ranking-Based Model For Resource Allocation Efficiency In University Sports Management, Pute Lan, Jiaqi Guo, Changshun Bai

Neutrosophic Sets and Systems

The evaluation of resource allocation efficiency in university recreational sports aims to analyze and assess the effectiveness of how universities allocate facilities, equipment, and personnel for recreational sports. By collecting relevant data and applying scientific methods, it evaluates the usage and impact of resources to optimize allocation and enhance student participation and satisfaction. This not only helps improve campus sports culture but also promotes students' physical and mental health and overall development. The resource allocation efficiency evaluation in university recreational sports is a MAGDM problem. Recently, the Superiority and Inferiority Ranking (SIR) method has been employed to cope with MAGDM …

A Neutrosophic Logic Ruled Based Machine Learning Approaches For Chronic Kidney Disease Risk Prediction, Bhabani S.Mohanty, Krishna Priya R, Liya Alias, R. Vijaya Kumar Reddy, Prasanta Kumar Raut, Samson Isaac, Manibharathi D, C. Saravanakumar, Nihar Ranjan Panda, Said Broumi

Neutrosophic Sets and Systems

Chronic kidney disease (CKD) represents a significant global health challenge in society, and early detection of risk is essential for on-time treatment and intervention. This research suggests a novel machine-learning technique to create a reliable and accurate CKD risk prediction model by combining neutrosophic logic with various classification algorithms. We use neutrosophic logic to address the inherent imprecision and uncertainty in medical data, resulting in a more realistic portrayal of real-world scenarios. We measure the effectiveness of the proposed neutrosophic logic-based models using various metrics, including precision, specificity, and sensitivity. The results show that the neutrosophic logic method is better …

Neutrosophic Dus Exponential Distribution, Megha. C.M, Divya. P.R, Sajesh.T. A

Neutrosophic Sets and Systems

The exponential distribution is a widely used lifetime model with applications spanning numerous disciplines. The DUS transformation extends the applicability of the exponential distribution by improving its flexibility for diverse real-world scenarios. This study proposes the Neutrosophic DUS Exponential Distribution (NDUS-ED), an extension of the DUS Exponential Distribution, designed to effectively address and quantify uncertainty, inconsistency, and indeterminacy in data. Key statistical properties of NDUS-ED, including quantiles, moments, moment-generating functions, and order statistics, are derived under neutrosophic conditions. The performance of estimated parameters is evaluated through simulation, revealing superior results with larger sample sizes, particularly in managing imprecise and indeterminate …

Neutrosophic Dynamic Network Dea: Efficient Allocation Of Carryover Variables In Organizational Processes, Maryam Heydar, Hadi Bagherzadeh Valami

Neutrosophic Sets and Systems

Carryover activities in dynamic DEA refer to the persistence of resources, inputs, or outputs across periods in organizational processes, reflecting the impact of past decisions on current and future performance. In practical applications, some carryover variables can extend beyond the immediate next period, and their allocation is discretionary, controlled by the Decision-Maker (DM). This paper introduces a novel dynamic network DEA (DNDEA) model aimed at optimizing the allocation of these carryovers and identifying inefficiencies within a network system across multiple evaluation periods. Recognizing the uncertainties present in real-world data, we incorporate neutrosophic sets to effectively process uncertain information, which adds …

The Pamssem Approach For Multi-Attribute Group Decision-Making Using Single-Valued Neutrosophic Sets: Applications To Evaluating The Effectiveness Of College Students' Psychological Education, Xiaolan Liang

Neutrosophic Sets and Systems

The evaluation of the effectiveness of college students' psychological education involves using scientific approaches and tools to assess the actual impact of psychological education on improving students' mental health, fostering personality development, and enhancing psychological adjustment abilities. The evaluation covers aspects such as students' mental health status, the achievement of educational goals, the effectiveness of interventions, and student satisfaction. Through such evaluations, psychological education programs can be optimized to improve quality, help students better cope with psychological challenges in academics, life, and relationships, and promote their holistic development and healthy growth. The results also provide a scientific basis for continuous …

Boosted Macbeth Technique For Effectiveness Evaluation Of Mental Health Education In College Students Based On Neutrosophic Cubic Sets, Xueyuan Sun

Neutrosophic Sets and Systems

The evaluation of the effectiveness of college students' mental health education (MHE) aims to assess the impact of related educational activities on students' mental well-being. Using both quantitative and qualitative methods, it evaluates improvements in students' psychological resilience, knowledge acquisition, emotional management, and the prevention of mental health issues. Effective evaluation helps optimize educational programs, enhancing students' mental health and promoting their overall development. The effectiveness evaluation of college students’ MHE is multiple-attribute decision-making (MADM). Recently, the MACBETH technique and average model were dealt with MADM. The neutrosophic cubic sets (NCSs) are utilized as a better technique for expressing uncertain …

Advanced T2nn-Taxonomy Framework For Assessing Quality Of Dynamic Logos In Digital Media Via Type-2 Neutrosophic Multi-Criteria Decision Analysis, Yan Lu, Meidi Zhang

Neutrosophic Sets and Systems

In the context of digital media, the quality evaluation of dynamic logo design focuses on visual impact, brand communication, technical execution, and user experience. Visual impact assesses the logo's appeal and creativity; brand communication examines if the logo accurately reflects the brand image; technical execution looks at animation smoothness and cross-platform compatibility; user experience measures interactivity and memorability. These factors ensure the logo's effectiveness and influence in a digital environment. The evaluation of dynamic logo design quality within the digital media context is Multi-Criteria Decision Analysis (MCDA). Recently, the Taxonomy technique was described to grapple with MCDA. The Type-2 neutrosophic …

Intelligent Elderly Care: Practicing Ambiguity Neutrosophic Theory For Optimization Contemporary Machine Learning Techniques In Elderly Care, Mahmoud M. Ismail, Ahmed A. Metwaly, Osama Elkomy, Alaa Al-Ghamry, Mona Mohamed

Neutrosophic Sets and Systems

One of the biggest challenges facing healthcare systems throughout the world is the aging population. The growing number of elderly citizens in need of specialized care is severely straining the available resources and care methods. It is sometimes difficult for traditional care techniques to address the complex and varied requirements of this expanding population. To fix these challenges, inclusion of contemporary technology is imperative and pragmatic solutions such as Internet of Thing (IoT), cloud computing (CC), and artificial intelligence (AI) techniques such as machine learning (ML), deep learning (DL). Such AI has potential role to make elderly care services (ECSs) …

Enhanced Mcdm Methodology Under Uncertainty: Applications To Energy Efficiency Evaluation Of Mechanical And Electrical Systems In Public Buildings, Daoming Wang

Neutrosophic Sets and Systems

Evaluation of Mechanical and Electrical systems in public Buildings is a multi- criteria decision-making problem that has various criteria. These criteria can affect energy efficiency. So, we aim to propose an MCDM method for rate the criteria importance and proposed a set of systems to select the best one in energy firms. This section can increase energy efficiency. We applied the ARAS methodology to rank the alternatives. The ARAS methodology is an MCDM method. It applied into criteria independent. The ARAS method is integrated under the plithogenic set to deal with the vague and uncertainty information. The plithogenic set is …