Digital Commons Network^™

It Is Not Clear How Well Physical Activity Promotion Materials Are Understood: Findings From A Rapid Literature Review, Jafra D. Thomas, Jasmine C. Wong, Regina F. Hockert, Yi Sheng Wu, Winston Kennedy

Topics in Exercise Science and Kinesiology

Topics in Exercise Science and Kinesiology Volume 6: Issue 1, Article 6, 2025. Efforts to promote physical activity and other health-related behaviors are more effective when resource materials are understood by a wide and diverse audience. Before our lab’s previous investigations (Thomas et al., 2024), only one study seemed to use the cloze procedure to directly test the comprehension (i.e., readability) of physical activity promotion material (Cardinal & Seidler, 1995). Thus, this rapid literature review sought to (a) determine the extent the cloze procedure has been used to study physical activity promotion material comprehension in lay adults and (b) collate …

Validation Of A Pete Timing Model For The Oriental Fruit Moth In Michigan And Central California (Lepidoptera: Olethreutidae), B. A. Croft, M. F. Michels, R. E. Rice

The Great Lakes Entomologist

PETE (Predictive Extension Timing Estimator) model output for Grapholitha molesta (Busck) was within ca. 30 ? 46 degree-days or 1.4 2 2 days of predicting 50% adult moth activity as measured by pheromone trap catches in the spring and first summer generation in both Michigan apple and California Peach orchards. In subsequent summer generations. model output was less reliable.

Inkjet Printed 3d Magnetic And Dielectric Polymer Composites With Tailored Properties, Hp Inc

Defensive Publications Series

The use of multi jet fusion (MJF) 3D-printing technology with magnetic nanoparticle inks and a novel pore-producing ink together with voxel-scale engineering techniques and predictive modeling provides an approach for designing and printing novel polymer nanocomposites and metamaterials with tailored physical and functional properties.

Commencement: Conferral Of Baccalaureate Degrees May 21, 2025, New Jersey Institute Of Technology

Commencement Programs

Program for the commencement conferral of Baccalaureate degrees. The ceremony took place on Wednesday, May 21, 2025.

The Future Of The Us Marine Seafloor And Subseafloor Sampling Capabilities, Future 2024 Pi-Team, Olga Libman‐Roshal

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Recent changes in US oceanographic assets are impacting scientists' ability to access seafloor and sub-seafloor materials and thus constraining progress on science critical for societal needs. Here we identify national infrastructure needs to address critical science questions. This commentary reports on community-driven discussions that took place during the 3-day FUTURE of US Seafloor Sampling Capabilities 2024 Workshop, which used an “all-hands-on-deck” approach to assess seafloor and sub-seafloor sampling requirements of a broad range of scientific objectives, focusing on capabilities that could be supported through the US Academic Research Fleet (US-ARF) now or in the near future. Cross-cutting issues identified …

Harnessing Eco-Friendly Practices And Transforming Communities Through Social Entrepreneurship: Exploring The Shri Mata Vaishno Devi Shrine Mode, Iqra Sajad Khan Scholar, Ashaq Hussain Najar Dr, Manik Arora Dr

International Journal of Religious Tourism and Pilgrimage

This study examines the influence of religious tourism on regional development, with a specific focus on eco-friendly practices and social entrepreneurship. Religious pilgrimages play a significant role in stimulating the tourism sector, hence, creating economic prospects on a global scale. Nevertheless, the extent of scholarly investigation about the impact of implementing eco-friendly practices on nearby communities, particularly within the context of religious pilgrimage destinations, remains minimal. The primary objective of this research centres on the Shri Mata Vaishno Devi shrine located in Jammu and Kashmir renowned for its widespread praise and profound cultural importance. A qualitative methodology was employed to …

Experimental Characterisation Of Laser Cladding Of Crniw And Crnifealzr Powders On H13 Tool Steel And Optimisation Of Process Parameters, Martin Vinoth S

Theses and Dissertations

In this work, laser cladding on H13 steel substrate with two different powder compositions CrNiW and CrNiFeAlZr has been carried out. The laser power, powder feed rate, and scanning speed were varied and the clad dimensions, aspect ratio, and dilution percentage were measured. The microhardness found in the CrNiW clad is 834 ± 20 HV0.5, which is higher than that of the CrNiFeAlZr clad (780 ± 20 HV0.5) as well as the substrate (548 ± 20 HV0.5).

The X-ray Diffraction (XRD) patterns identified the common phase creation of Ni3C and Fe3C for CrNiFeAlZr and CrNiW coatings, while the oxide formation …

Protein Stability Retention Under Harsh Conditions, Kaylen Su

Student Theses and Dissertations

Plastic waste is a growing environmental concern due to its resistance to natural degradation, leading to long-term accumulation in landfills and oceans. One potential solution is enzymatic degradation, where specific enzymes break down plastic into smaller, biodegradable components. However, enzymes often lose their effectiveness under the extreme conditions plastics experience during manufacturing, such as high temperatures, mechanical stress, and dehydration. This study explores whether small molecules, known as ligands, can help stabilize enzymes and improve their ability to break down plastics.

Using molecular dynamics simulations, we tested four ligands—poly(ethylene glycol) (PEG), 6-hydroxyhexanoic acid (HHA), benzalkonium chloride (BC), and 6-aminohexanoic acid …

Utilization Of Flow Cytometry, Metabolomic Analyses And A Feline Infectious Peritonitis Case Study To Evaluate The Physiological Impact Of Polyprenyl Immunostimulant, Irene Lee, Amar Desai, Akshay Patil, Yan Xu, Kelley Pozza-Adams, Anthony J. Berdis

Chemistry Faculty Publications

Measles, hepatitis C, and COVID-19 are significant human diseases caused by RNA viruses. While vaccines exist to prevent infections, there are a small number of currently available therapeutic agents that can effectively treat these diseases after infection occurs. This study explores a new therapeutic strategy using a small molecule designated polyprenyl immunostimulant (PI) to increase innate immune responses and combat viral infections. Using a multi-disciplinary approach, this study quantifies the effects of PI in mice and THP-1 cells using flow cytometry to identify immune phenotypic markers and mass spectroscopy to monitor the metabolomic profiles of immune cells perturbed by PI …

Multi-Level Collaborative Governance Framework For Designing Accountable Ai Systems For Emergency Management, Yu-Che Chen, Chun-Hua Tsai, Edouardo Zendejas

Information Systems and Quantitative Analysis Faculty Publications

This paper addresses a gap in the AI governance literature in understanding collaboration between national governments and tribal nations in governing AI systems for emergency management. This conceptual work develops and presents a governance design framework for accountable AI systems to fill the knowledge gap by drawing from the fields of public administration, information systems, indigenous studies, and emergency management. This framework situates the governance framework in a cross-sovereignty historical, legal, and policy contexts. It captures the multi-level features and embeddedness of governance structures, including the levels of collaborative governance structure, software system governance rules, and technical software system design. …

Sharc: Simulator For Hardware Architecture And Real-Time Control, Paul K. Wintz, Yasin Sonmez, Paul Griffioen, Mingsheng Xu, Surim Oh, Heiner Litz, Ricardo G. Sanfelice, Murat Arcak

Faculty Work Comprehensive List

Tight coupling between computation, communication, and control pervades the design and application of cyber-physical systems (CPSs). Due to the complexity of these systems, advanced design procedures that account for these tight interconnections are paramount to ensure the safe and reliable operation of control algorithms under computational constraints. This paper presents the Simulator for Hardware Architecture and Real-time Control (Sharc) to assist in the co-design of control algorithms and the computational hardware on which they are run. Sharc simulates the execution of a user-specified control algorithm on a given processor microarchitecture configuration, evaluating how computational constraints affect the dynamical properties of …

‘I Could Replicate The Situation Exactly The Same As I Do In Class’: Apprentice Lecturers Use Of A Learning Management System At An Irish University During And After Covid-19, Eleanor Attridge, Tom O'Mahony

Articles

While technology is playing a more critical role in learning, apprentice lecturers’ use of technology to support learning is under-researched. This qualitative study explores apprentice lecturers’ use and experience of a Learning Management System during and after COVID-19. Thematic analysis was used to make sense of the rich data, gathered using semi-structured interviews, from ten apprentice lecturers. The analysis revealed that technology use largely mirrored participants’ teacher-centric face-to-face methods. This approach did not sustain apprentice online engagement. Applying the theoretical framework, TPACK revealed that limited pedagogical expertise and, to a lesser extent, limited technological proficiency shaped participants’ approaches. Systemic constraints …

Development Of Stem-Based Virtual Microscope Module In Fundamental Geology Course, Bigharta Bekti Susetyo, Dipo Caesario, Yulia Hanoselina, Helfia Edial, Intan Lestari Mulyaning Tyas, Ahmad Syauqi Hidayatillah, Alfyananda Kurnia Putra, Salem Amer Sayma

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

This research aims to develop a STEM-based virtual microscope module. It follows a 4D development model, comprising define, design, develop, and disseminate stages. Interview were employed as the primary data collection techniques. The data analysis techniques utilized both descriptive and quantitative methods. The feasibility of developed module validated by expert validators in material content, language, and learning design. Field testing was conducted with Geography Education Study Program students from Class of 2023 in the Fundamental Geology Course. The STEM-based virtual microscope module was deemed suitable for learning activities, receiving validation scores in the "good" category with minor revisions required. Student …

Analyzing Land Cover And Use In Bichi, Kano, Nigeria With Google Earth Data, Kabiru Abdullahi Abdulhamid, Adi Wibowo, Muhammad Junaid

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

The research investigates land cover and land use change trends in Bichi, Kano State, Nigeria, between 2003 and 2023, with a focus on the impacts of agricultural expansion and urbanization. Google Earth Pro's high-resolution satellite imagery was used to assess trends in agricultural land, forest cover, and settlement areas. The findings reveal a drastic reduction in agricultural land from 60 hectares in 2003 to 40 hectares in 2023 and the decline of forest cover from 30 hectares to 20 hectares. On the other hand, built-up settlement areas increased from 10 hectares to 40 hectares. All these processes have resulted in …

A Complete Transfer Learning-Based Pipeline For Discriminating Between Select Pathogenic Yeasts From Microscopy Photographs, Ryan A. Parker, Danielle S. Hannagan, Jan H. Strydom, Christopher J. Boon, Jessica Fussell, Chelbie A. Mitchell, Katie L. Moerschel, Aura G. Valter-Franco, Christopher Cornelison

Faculty Articles

Pathogenic yeasts are an increasing concern in healthcare, with species like Candida auris often displaying drug resistance and causing high mortality in immunocompromised patients. The need for rapid and accessible diagnostic methods for accurate yeast identification is critical, especially in resource-limited settings. This study presents a convolutional neural network (CNN)-based approach for classifying pathogenic yeast species from microscopy images. Using transfer learning, we trained the model to identify six yeast species from simple micrographs, achieving high classification accuracy (93.91% at the patch level, 99.09% at the whole image level) and low misclassification rates across species, with the best performing model. …

Enhanced Nuclear Binding Near The Proton Drip Line Opens Possible Bypass Of The 64Ge Rapid Proton Capture Process Waiting Point, Zachary Meisel, W.-J Ong, J. S. Ranhawa

Faculty Publications

We performed astrophysics model calculations with updated nuclear data to identify a possible bypass of the ⁶⁴Ge waiting point, a defining feature of the rapid proton capture (rp) process that powers type I X-ray bursts on accreting neutron stars. We find that the rp-process flow through the 64Ge bypass could be up to 36% for astrophysically relevant conditions. Our results call for new studies of ⁶⁵Se, including the nuclear mass, β-delayed proton emission branching, and nuclear structure as it pertains to the 64As(p, γ) reaction rate at X-ray burst temperatures.

Application Of Quechers Extraction Method For Optimization Of Organic Matters In Oil Sand By Ultrahigh Fourier Transform Infrared Orbitrap-Mass Spectrometry, Gbenga Aladekoyi, Emmanuel G. Olumayede, Samuel O. Olusanya, Simeon Schum

Michigan Tech Publications

This work focuses on the performance of composite solvents using the QuEchERs extraction (quick, easy, cheap, effective, rugged, and safe) method in bitumen recovery and determination of organic matters present in the oil sands of the Okitipupa area of southwestern Nigeria. Different correlated parameters, such as extraction time (h), stirring time (r/ min), change in temperature (°C), and type of solvent (heptane—toluene and dichloromethane—toluene), solvent ratios (2: 8, 3: 7, 5: 5, 7: 3, and 8: 2) were used to optimize dissolved organic matters from the oil sands using QuEchERs extraction method. Ratios 1 g/2.5 ml for each solvent mix …

Various Bone Disorders Affecting The Medically Underserved South Texas Region, Blake Martin, Manoj Peiris, Michael Sander

School of Medicine Publications

Bone disorders can have a devastating impact on an individual’s quality of life. The main objective of our study was to analyze various demographic disparities between various bone disorders in the demographically unique Rio Grande Valley region. We hypothesized that osteoporosis would be the most prevalent condition and that the demographics between the various conditions would vary depending on age, sex, BMI, and ethnicity but not on marital status. This was a retrospective chart review using the University of Texas Rio Grande Valley UTHealth electronic database from January 1, 2017, to January 1, 2024. Any relevant individuals seen at a …

Turning Analysis Into Action: Opportunities And Challenges In Implementing Wastewater Science For Public Health Decision-Making, Anna Gitter, Valeria Ruvalcaba, Katelyn Clark, Theresa Tran Carapucci, Fuqing Wu, Blake M Hanson, Jennifer Deegan, John Balliew, Eric Boerwinkle, Anthony W Maresso, Kristina D Mena

Faculty, Staff and Students Publications

In the 5 years since the emergence of the COVID-19 pandemic, the field of wastewater-based epidemiology (WBE) has dramatically expanded with programs implemented across the globe to monitor for SARS-CoV-2 and other viruses of public health concern. However, the best way to use wastewater surveillance data and inform local communities of the utility of wastewater science remains limited and sporadically discussed. Specifically, there is vague guidance regarding interpreting varying levels of viral loads in wastewater for public health significance. While collaborative efforts are key to implementing these community-specific wastewater surveillance programs, effectively using the data for public health decision-making still …

The Impact Of Professional Development On Stem Workforce Job Satisfaction, Organizational Commitment, And Self-Efficacy, John C. Chick, Jeffrey Vance

Online Journal for Workforce Education and Development

This mixed-methods study aimed to measure the impact workforce education programs have on STEM professionals’ job satisfaction and organizational commitment, specifically through the level of participation in the continuing education program and employees’ perceived effectiveness of said continuing education program. The findings suggested that participation in PD was significantly negatively associated with both job satisfaction and organizational commitment, indicating that as level of participation in PD increases, typically, both job satisfaction and organizational commitment levels tend to decrease. The results also showed that perceived effectiveness of organizational continuing education practices was significantly positively associated with both organizational commitment and job …

Ai And Ethical Use Implication For Research, Kelley Plass, Sierra Campbell

May Institute

Artificial intelligence (AI) is becoming increasingly integrated into our daily lives, especially for students. While there are valid debates about the advantages and disadvantages of students using AI for their assignments, such as comparing tools like Grammarly and ChatGPT, one aspect that often goes unexamined is the information sources that AI relies on. AI is now integrated into search engines like Google and Bing, making it accessible to everyone. Additionally, with the emergence of AI research tools like ResearchRabbit, AI's role in everyday activities continues to expand beyond easily accessible resources such as subscription databases. AI is now an optional …

Ph Dependent Structural Characterization Of Ich Ensembles Needed For Catalysis, Kevin C. Prososki

Honors Program: Senior Projects (Public)

No abstract provided.

Enhancing Teacher Preparation: Assist Faculty With Navigating Emerging Technologies, Seung Kim, Deb Augsburger, Hyeseong Lee, Hae Min Yu, Elizabeth Sturm

May Institute

With the rapid advancement of technology, it is essential to equip teacher candidates with the confidence and skills needed to navigate emerging technologies. By doing so, they can better prepare students for the opportunities and challenges of an ever-evolving world. To achieve this, targeted professional development is urgently needed to strengthen teacher educators' technological, pedagogical, and content knowledge (TPACK), ensuring that future teachers are well-prepared for technology-rich classrooms.

This panel discussion explores the implementation of a collaborative TPACK framework to promote equitable technology integration in teacher education programs. Panelists—including faculty members who teach teaching methods courses and an Educator Preparation …

Tax Trends, Nicholas J. Fiore

Tax Adviser

No abstract provided.

Affine Subgroups Of The Affine Coxeter Group With The Same Coxeter Number, Nazife Ozdes Koca, Mehmet Koca

Sultan Qaboos University Journal For Science

Affine subgroups having the same Coxeter number with the affine Coxeter groups W(An), W(Dn) and W(En) are constructed by graph folding techniques. The affine groups W(Cn) and W(Bn) are obtained from the Coxeter groups W(A2n-1) and W(D2n-2), respectively. The affine groups W(E6), W(D6) and W(E8) lead to the affine groups W(F4), W(H3) and W(H4) respectively by graph folding. The latter two are the non-crystallographic groups where W(H3) plays a special role in the quasicrystallographic structures with icosahedral symmetry. A general construction of the affine dihedral subgroups is introduced, some of which describe the existing planar quasicrystallography. In the construction of …

Fitting The Length Of Stay Data: Case Study In Intensive Care Unit At Sultan Qaboos University Hospital In Oman, Iman Al Hashmi, Amadou Sarr

Sultan Qaboos University Journal For Science

The Length of Stay (LOS) of patients is an important tool to help and assist the managers of hospitals. The distribution of LOS data is, however, right skewed (asymmetric). Hence, appropriate models are needed in order to fit such data properly. The aim of this study was to investigate LOS data, collected from the Intensive Care Unit (ICU) at Sultan Qaboos University hospital. To that end, the data were fitted by four widely used models: Weibull, Gamma, Lognormal, and Loglogistic. Unknown parameters were estimated using the maximum likelihood method. The empirical study revealed that Gamma model outperformed the other competitors; …

Ion-Dna Interactions As A Key Determinant Of Uracil Dna Glycosylase Activity., Sharon N Greenwood, Alexis N Dispensa, Matthew Wang, Justin R Bauer, Timothy D Vaden, Zhiwei Liu, Brian P Weiser

Rowan-Virtua School of Osteopathic Medicine Departmental Research

Because of their ubiquitous presence, ions interact with numerous macromolecules in the cell and affect critical biological processes. Here, we discuss how cations including Mg²⁺ alter the enzymatic activity of a DNA glycosylase by tuning its affinity for DNA. The response of uracil DNA glycosylase (UNG2) to Mg²⁺ ions in solution is biphasic and paradoxical, where low concentrations of the ion stimulate the enzyme, but high concentrations inhibit the enzyme. We analyzed this phenomenon by modeling experimental data with a statistical framework that we empirically derived to understand molecular systems that display biphasic behaviors. Parameters from our statistical …

Research On Grey-Box Modeling Method Of Digital Twins For Cantilever Structure, Wenjia Zhang, Heming Zhang

Journal of System Simulation

Abstract: The construction of accurate and highly real-time digital twin models in complex industrial setting presents several challenges. Traditional model construction approaches based only on mechanism or data show certain limitations. Therefore, this study is based on the idea of grey-box modeling, taking the cantilever structure within a boom-type roadheader as the object, and proposes a novel modeling approach that combines the characteristics of the mechanism model and introduces a self-attention mechanism. This method performs grayscale transformation on the original input and splices it with physical features to achieve organic fusion of mechanism information, which not only enhances the expressiveness …

An Extended Image Features Based Uncalibrated Visual Servoing Method, Shuzhen Zhang, Yukun Cheng, Yangbo Liu, Fusheng Zha

Journal of System Simulation

Abstract: Aiming at the traditional uncalibrated visual servo relying on the estimation of image Jacobi matrix and the coupling of the motion of each degree of freedom of the camera, on the basis of imagebased uncalibrated visual servo, an extended image features based uncalibrated visual servo method is proposed. By analyzing the relationship between image features and camera frames change in the visual servoing process, the visual servoing process in the image space is decomposed into four basic processes: translation, stretching, rotation and scaling; by analyzing the changing of image features in the visual servoing process, extended image features are …

A Modeling And Simulation Method For Firepower Intelligent Decision-Making Of Directed Energy System Basedon Joint Dqn, Changhong Qu, Junjie Wang, Kun Wang, Qingyong Cui, Jiangyang Chen, Xinpeng Wang

Journal of System Simulation

Abstract: In order to solve the problem of dynamically addressing firepower intelligent decision-making in anti-UAV cluster combat using a directed energy system, a deep reinforcement learning model is established. Based on the high multi-agent state and action space dimensions of this model, a modeling and simulation method of firepower intelligent decision-making of directed energy system based on joint deep Q network (DQN) is proposed. The state space is constructed from the state of directed energy system, UAV cluster and the directed energy system deployment area. The joint mechanism is used to share the state information of each equipment and the …