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Exploring Consumers’ Intention And Behavior In The Circular Economy : Evidence From Vietnam, Tuan Hoang Nguyen, Vo Minh Thang Phan Jan 2026

Exploring Consumers’ Intention And Behavior In The Circular Economy : Evidence From Vietnam, Tuan Hoang Nguyen, Vo Minh Thang Phan

Applied Environmental Research

This study aims to address the key gaps in understanding the factors influencing the intention–behavior relationship of consumers in the context of the circular economy (CE). Grounded in the theory of planned behavior (TPB), this research extends the framework by integrating social pressure, attitudes toward green consumption, and the availability of CE products as crucial components that shape intention and behavior. Data were collected from 603 Vietnamese consumers and analyzed using partial least squares structural equation modeling (PLS-SEM). The results confirm the core TPB constructs, with perceived behavioral control emerging as the most influential factor. Notably, attitude toward green consumption …

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Sustainable Approach For The Removal Of Cu(Ii) From Aqueous Solutions Using Lotus Seedpod-Alginate Composite Biosorbents, Lan Tran-Nguyen, Hue Tran Nguyen-Le, Hong T Hi Anh Nguyen, Tran Nguyen-Phuong-Dung, Ly Kim-Phung, Huynh Quoc-Khanh, Nguyen Minh-Nhut, Phuong Lan Tran-Nguyen Jan 2026

Sustainable Approach For The Removal Of Cu(Ii) From Aqueous Solutions Using Lotus Seedpod-Alginate Composite Biosorbents, Lan Tran-Nguyen, Hue Tran Nguyen-Le, Hong T Hi Anh Nguyen, Tran Nguyen-Phuong-Dung, Ly Kim-Phung, Huynh Quoc-Khanh, Nguyen Minh-Nhut, Phuong Lan Tran-Nguyen

Applied Environmental Research

Turning waste or agricultural byproducts into valuable products has recently become a concern of scientists. In this study, the facile and cost-effective synthesis of a biocomposite derived from lotus seedpod (LS) and alginate (AG) was further applied for Cu2+ ion uptake from aqueous solutions. SEM images revealed the layered structures of the composites, which were thin and irregularly stacked sheets of a complex 3D network. The abundant functional groups on the surface of the LS-based material and its negative zeta potential value of -37.50 mV also facilitated efficient Cu2+ removal. Adsorption results revealed a Cu2+ adsorption efficiency (AE) and experimental …

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Environmental Sustainability Performance And Efficiency In Thailand’S Rajabhat Universities : A Cross-Regional Analysis Of The Impact Rankings, Konstantinos Balis Jan 2026

Environmental Sustainability Performance And Efficiency In Thailand’S Rajabhat Universities : A Cross-Regional Analysis Of The Impact Rankings, Konstantinos Balis

Applied Environmental Research

Higher education institutions (HEIs) are expected to increasingly communicate their contributions to the United Nations’ Sustainable Development Goals (SDGs), with the rise of alternative sustainability rankings serving as prominent reporting instruments for institutional transparency. In Thailand, Rajabhat Universities, a network of government HEIs historically associated with their mission of teacher training and local development, have been actively participating in the Times Higher Education (THE) Impact Rankings, presenting a unique case study to explore cross-regional sustainability efforts in relation to global benchmarks. To evaluate trends, regional disparities, and engagement performance across the sustainability pillars, this study uses a descriptive quantitative design …

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Tree Composition And Carbon Sequestration Potential Of A University Campus In Bangkok, Thailand, Chaiwat Boonpeng, Pawanrat Butrid Butrid, Marisa Pischom, Satatip Noikrad Jan 2026

Tree Composition And Carbon Sequestration Potential Of A University Campus In Bangkok, Thailand, Chaiwat Boonpeng, Pawanrat Butrid Butrid, Marisa Pischom, Satatip Noikrad

Applied Environmental Research

Trees play important roles in atmospheric carbon dioxide (CO2) absorption and climate change mitigation. The objective of this study was to assess tree characteristics and carbon sequestration potential at Ramkhamhaeng University (Hua Mak Campus), Bangkok, Thailand. Tree attributes, including species composition, abundance, diameter at breast height (DBH), and tree height, were recorded. Tree biomass, carbon storage, and CO2 sequestration were estimated using appropriate allometric equations. A total of 2,149 trees were recorded in the study area, corresponding to a tree density of 45.8 trees ha-1. The tree community was dominated by the palm family (Arecaceae), while Terminalia ivorensis was the …

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Development Of A Deep Neural Network Model To Predict Pm2.5 Concentrations Based On Key Factors Affecting Air Pollution In Bangkok, Natsuda Klinklan, Tanawut Poothong, Nuttiwut Areeratphitak, Viganda Varabuntoonvit Jan 2026

Development Of A Deep Neural Network Model To Predict Pm2.5 Concentrations Based On Key Factors Affecting Air Pollution In Bangkok, Natsuda Klinklan, Tanawut Poothong, Nuttiwut Areeratphitak, Viganda Varabuntoonvit

Applied Environmental Research

PM2.5 is a significant air pollution concern in Thailand, particularly in urban areas such as Bangkok, where the 24-hour average concentration frequently exceeds national ambient air quality standards during severe seasonal episodes. Road transportation is the primary source of PM2.5 in Bangkok, accounting for 73% of total emissions, according to the Pollution Control Department. In this study, a predictive modeling framework is developed to investigate the relationship between vehicle count and the mass concentration of PM2.5 from vehicular exhaust emissions. Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are employed for vehicle detection and counting, whereas a long short-term …

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Weekly Spatiotemporal Dynamics Of Forest Fire Hotspots In Tak Province, Thailand : A Gis-Based Directional Analysis, Suphatphong Ruthamnong Jan 2026

Weekly Spatiotemporal Dynamics Of Forest Fire Hotspots In Tak Province, Thailand : A Gis-Based Directional Analysis, Suphatphong Ruthamnong

Applied Environmental Research

Forest fires are recurrent dry-season hazards in northern and western Thailand, yet their short-term spatial dynamics remain insufficiently understood. In this study, weekly spatiotemporal dynamics of forest fire hotspots in Tak Province, Thailand, were examined using Visible Infrared Imaging Radiometer Suite (VIIRS) active-fire data and GIS-based directional analysis. Hotspots from five fire seasons (2021–2025) were grouped into 24 weekly intervals beginning on 1 December. The analysis integrated weekly hotspot counts, forest-type compositions, mean-center trajectories, standard deviational ellipses, temporal changes in topographic characteristics, and fishnet-based hotspot persistence mapping. The results revealed that fire activity was highly concentrated during the middle of …

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Initial Screening Of Halophilic Plastic-Degrading Bacteria From Mangrove Water And Sediment In Pekalongan, Indonesia, Novia Safinatunnajah, Muhammad Zainuri, Aris Ismanto, Tony Hadibarata, Kunarso -, Sugeng Widada, Hermin Pancasakti Kusumaningrum, Candra Wahyuningsih Jan 2026

Initial Screening Of Halophilic Plastic-Degrading Bacteria From Mangrove Water And Sediment In Pekalongan, Indonesia, Novia Safinatunnajah, Muhammad Zainuri, Aris Ismanto, Tony Hadibarata, Kunarso -, Sugeng Widada, Hermin Pancasakti Kusumaningrum, Candra Wahyuningsih

Applied Environmental Research

Microplastic pollution in tropical mangrove ecosystems represents an increasing environmental concern, particularly in coastal regions such as Pekalongan, Indonesia, where industrial and residential activities contribute substantially to plastic waste. This study aimed to isolate and preliminarily screen halophilic bacteria from mangrove sediments and seawater collected from a plastic-impacted coastal area. Using mineral salt medium (MSM) supplemented with polyethylene glycol (PEG), six bacterial strains were obtained and evaluated for their potential to interact with polyethylene (PE) and polypropylene (PP) on the basis of gravimetric weight loss measurements. Among the isolates, Halomonas Cupida A1, Marinobacter nauticus A6.3, and Marinobacter nauticus SD5.2 exhibited …

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Effects Of The Psb-To-Ow Ratio And Light Intensity On Biogas Composition During Phototrophic-Assisted Anaerobic Fermentation Of Organic Waste, Kridsana Jirasansawat, Sirilak Prasertkulsak, Nitiwist Teangthai Jan 2026

Effects Of The Psb-To-Ow Ratio And Light Intensity On Biogas Composition During Phototrophic-Assisted Anaerobic Fermentation Of Organic Waste, Kridsana Jirasansawat, Sirilak Prasertkulsak, Nitiwist Teangthai

Applied Environmental Research

The integration of phototrophic processes into anaerobic fermentation offers a promising strategy for improving biogas quality; however, the combined effects of the photosynthetic bacteria-to-organic waste (PSB-to-OW) ratio and light intensity remain unclear. In this study, the photosynthetic bacteria (PSB)-assisted anaerobic fermentation of municipal organic waste under varying PSB-to-OW ratios and light intensities was evaluated. An optimal PSB-to-OW ratio of 1:2 resulted in significantly higher CH4 concentrations and lower CO2 and H2S concentrations than the other tested ratios did (p < 0.05). At this ratio, moderate illumination (2000 lx) resulted in the highest CH4 concentration (68.2 ± 0.3%), compared with 1000 lx (61.5 ± 0.4%) and 4000 lx (63.1 ± 0.5%). Under illumination, the CO2 and H2S concentrations were lower than those under dark conditions, indicating a more favorable biogas composition. Kinetic analysis indicated that CO2 and H2S exhibited apparent first-order behavior under illumination, with the highest rates occurring at 2000 lx (kH2S = 0.093 day-1; kCO2 = 0.059 day-1), suggesting light-dependent transformation processes. Metagenomic analysis revealed a microbial community dominated by sulfide-oxidizing (Chlorobium sp.), photoheterotrophic (Rhodopseudomonas sp.), and syntrophic bacteria, supporting coupled carbon conversion and sulfur transformation. Overall, optimization of the …

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Massteach: A Statewide Strategy To Increase And Broaden Stem Teacher Participation, Arne K. Christensen, Jennifer Hanselman, Allison S. Little Jan 2026

Massteach: A Statewide Strategy To Increase And Broaden Stem Teacher Participation, Arne K. Christensen, Jennifer Hanselman, Allison S. Little

Staff & Administration

The global teacher shortage is a persistent challenge that has become more acute since the COVID-19 pandemic, especially in STEM subject areas. Using ten years of statewide higher education enrollment data, the MassTeach program was developed as a regional strategy, coordinating efforts by the Massachusetts Department of Higher Education and faculty across the community college (2-year) and state university (4-year) systems, to increase participation in the STEM teacher workforce. Recognizing that enrollment at community colleges is a socioeconomic reflection of their surrounding communities, which are underrepresented in the STEM education pipeline, MassTeach coordinated supports to facilitate student transfer from 2- …

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Challenges And Prospects Of Polymeric Biomaterials In Immune Engineering: A Review, Boyka Andonova Lilova, Desislav Dinev, Probal Basu Jan 2026

Challenges And Prospects Of Polymeric Biomaterials In Immune Engineering: A Review, Boyka Andonova Lilova, Desislav Dinev, Probal Basu

Research Outputs: 2025-Present

Immune engineering is a vast and rapidly developing field with a strong focus on polymeric materials. The importance of these biomaterials in immune engineering revolves around their ability to provide bioactive molecules to the target site, which influences the immune system. Their functional performance depends on various structural and functional properties of the biomaterial, which are also influenced by the host immune microenvironment. This work focuses on the current state of the art, the attributes of polymer-based biomaterials, and their limitations in immune engineering applications. This review not only elaborates on the advantages of polymeric biomaterials in immune engineering but …

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Toml: Transistor Operations For Machine Learning: A Physics-Grounded Energy Efficiency Framework, Muntaser Syed, Marius Silaghi, Sheikh Abujar, Sharun Akter Khushbu Jan 2026

Toml: Transistor Operations For Machine Learning: A Physics-Grounded Energy Efficiency Framework, Muntaser Syed, Marius Silaghi, Sheikh Abujar, Sharun Akter Khushbu

Electrical Engineering and Computer Science Faculty Publications

The escalating energy consumption of machine learning systems demands accurate, physics-grounded efficiency measurement beyond conventional proxies like FLOPs and MACs, which fail to capture non-linear operations and memory access costs. While recent work established transistor operations (TOs) as a promising energy proxy for convolutional neural networks, this approach remains limited to a single metric and narrow architectural scope. We present TOML (Transistor Operations for Machine Learning), a framework introducing six novel metrics grounded in CMOS physics: Switching Activity Factor per Token (SAF-T), Logic State Residence Time (LSRT), Energy per Capability Unit (ECU), Memory-Compute Energy Ratio (MCER), Data-Dependent Energy Variation (DDEV), …

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Investigation Of Automated 3d Scanning Strategies For Large-Scale Polishing Applications, Casey Egan Jan 2026

Investigation Of Automated 3d Scanning Strategies For Large-Scale Polishing Applications, Casey Egan

Open Access Master's Theses

In automated scanning for industrial refinishing applications, large workpieces often exceed the reach of a single robot base position, and may require the environment to be scanned from multiple locations and stitched to a common reference frame. This thesis compares two robotic scanning workflows for such an object: a full scan that reconstructs the object from a single robot base position, and a segmented scan occurring across multiple simulated robot base positions that are stitched together through fiducial-based localization. The results from both workflows are compared for measurement accuracy of the object's bounding box against known dimensions, position of the …

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Metal–Organic Frameworks : Opportunities And Challenges In Nutrient Recovery, Suchana Amnuaychaichana, Chi-Wang Li, Pongsak (Lek) Noophan, Sumeth Wongkiew Jan 2026

Metal–Organic Frameworks : Opportunities And Challenges In Nutrient Recovery, Suchana Amnuaychaichana, Chi-Wang Li, Pongsak (Lek) Noophan, Sumeth Wongkiew

Applied Environmental Research

Nutrient recovery from waste streams is a critical strategy for promoting sustainable agriculture and mitigating environmental degradation. Essential nutrients commonly present in organic waste and wastewater, such as nitrogen and phosphorus, can be reclaimed and reintegrated into agricultural systems. Metal‒organic frameworks (MOFs), which are composed of metal clusters coordinated with organic ligands, have emerged as promising materials for adsorption and have the potential for nutrient recovery and pollutant removal because of their high porosity, large surface area, and tunable physicochemical properties. These attributes enable MOFs to serve in diverse applications, including heavy metal adsorption, organic pollutant degradation, and nutrient transformations. …

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Common Data Set, 2025-2026, Planning, Research, And Policy Analysis Jan 2026

Common Data Set, 2025-2026, Planning, Research, And Policy Analysis

Common Data Set (2001-present)

Common Data Set 2025-2026 for Illinois State University

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Ice Stream Formation, Activation, And Evolution, Logan E. Mann Jan 2026

Ice Stream Formation, Activation, And Evolution, Logan E. Mann

Dartmouth College Ph.D Dissertations

While the Greenland and Antarctic ice sheets deform as slow viscous fluids, ice streams are regions of ice that flow several orders of magnitude faster than the surrounding ice ridges. Ice streams form the primary drainage networks for ice sheets and are currently responsible for the majority of discharge from the West Antarctic Ice Sheet. Many catchments like the Siple Coast of West Antarctica display a complex array of flow morphologies that are not primarily determined by bed topography. Instead, flow is primarily governed by thermal conditions along the bed and in shear margins that lead to rapid till deformation. …

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Wideband Acoustic Immittance: Suitable Quantities For Assessing Middle-Ear Status, Kren Monrad Nørgaard, Jingxin Jessica Feng, Susan E. Voss Jan 2026

Wideband Acoustic Immittance: Suitable Quantities For Assessing Middle-Ear Status, Kren Monrad Nørgaard, Jingxin Jessica Feng, Susan E. Voss

Engineering: Faculty Publications

This paper investigates the physical significance of ear-canal wave quantities—such as absorbance—that are commonly measured in wideband-acoustic-immittance tests and evaluates whether these quantities uniquely characterize middle-ear function. This is explored using simulations of lumped-element and transmission-line ear canals, along with measurements in three-dimensional-printed uniform and anatomical ear canals of varying geometry, terminated by the same middle-ear simulator. The results demonstrate the following points: (1) Wave quantities computed using estimated or geometrical cross-sectional areas do not uniquely characterize the middle ear because they describe the wave interaction between ear canal and middle ear and are therefore confounded by variations in ear-canal …

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Security-Oriented Voice Authentication Using Machine Learning, Ifeoluwa Stella Elegbe Jan 2026

Security-Oriented Voice Authentication Using Machine Learning, Ifeoluwa Stella Elegbe

College of Graduate Studies: Theses & Dissertations

This study develops and evaluates a machine learning and deep learning-based voice authentication system for secure identity verification. As traditional authentication methods such as passwords, PINs, and security tokens continue to face challenges, including identity theft, forgetting, and unauthorized access, voice biometrics offers a more secure, convenient, and user-friendly alternative, especially for remote, hands-free, and accessibility-focused applications. The study adopts a closed-set speaker identification framework, where the system determines the most likely speaker from a predefined group of enrolled users. A structured methodology is implemented, beginning with audio preprocessing and feature extraction. Key acoustic features, including Mel-Frequency Cepstral Coefficients (MFCCs), …

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Data-Driven Prediction Of Compressive Strength In Pofa-Modified Concrete: A Comparative Study Of Lr, Nlr, And Ann Models, Shuaaib A. Mohammed, Hawdin Ismael Ibrahim, Diar Fatah Abdulrahman Askar, Hersh F Mahmood, Mehdi Khodaei, Soran Abdrahman Ahmad Jan 2026

Data-Driven Prediction Of Compressive Strength In Pofa-Modified Concrete: A Comparative Study Of Lr, Nlr, And Ann Models, Shuaaib A. Mohammed, Hawdin Ismael Ibrahim, Diar Fatah Abdulrahman Askar, Hersh F Mahmood, Mehdi Khodaei, Soran Abdrahman Ahmad

Mansoura Engineering Journal

Production of concrete results in high CO2 emissions, high energy demand, and consumption of various raw materials; however, it is one of the most widely used materials in construction to date. Therefore, researchers aim to minimize the impact of concrete production through various methods, such as introducing sustainable sources of materials that can be used in concrete. For instance, agricultural waste materials can be used as partial cement replacement. This study presents a comprehensive data-driven analysis of the effects of POFA on the properties of normal-strength concrete. By synthesizing a database of 196 experimental datasets from existing literature, three …

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Federated And Explainable Spiking Neural Networks For Fair And Privacy-Preserving Nail Disease Diagnostics, Ch Pavani Reddy, Krishnanaik Vankdoth Jan 2026

Federated And Explainable Spiking Neural Networks For Fair And Privacy-Preserving Nail Disease Diagnostics, Ch Pavani Reddy, Krishnanaik Vankdoth

Mansoura Engineering Journal

Automated nail disease diagnostics provide a non-invasive pathway for identifying underlying systemic health conditions; however, conventional centralized deep learning approaches often raise concerns related to privacy, fairness, and interpretability. Although the original NeuroNail-SNN framework demonstrated an energy-efficient and edge-ready diagnostic solution, its broader clinical adoption remained limited by unresolved trust, transparency, and ethical considerations. In this study, we propose the Federated and Explainable NeuroNail-SNN, which extends the original spiking neural architecture by integrating federated learning (FL), explainable artificial intelligence (XAI), fairness evaluation, and uncertainty quantification within a unified framework. Federated learning enables decentralized model training across hospitals and mobile clinics …

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Optimisation Of Stepped Basin Solar Still With Response Surface Methodology And Machine Learning Methods, M. Balamurugan, V. Santhanam, B. Deepanraj, S. P Manikandan, M. Yuvaperiyasamy, N. Senthilkumar Jan 2026

Optimisation Of Stepped Basin Solar Still With Response Surface Methodology And Machine Learning Methods, M. Balamurugan, V. Santhanam, B. Deepanraj, S. P Manikandan, M. Yuvaperiyasamy, N. Senthilkumar

Mansoura Engineering Journal

This research focuses on enhancing the distillate output of a stepped basin solar still by optimizing key operational variables using Response Surface Methodology (RSM) and advanced machine learning techniques. As water scarcity remains a critical global challenge, solar stills offer a viable, sustainable solution for desalination. These systems offer an energy-efficient approach to converting saline water intofreshwater, providing an alternative to conventional desalination methods. The primary objective was to investigate how variations in solar radiation, step height, and water inlet temperature influence the productivity of the stepped basin solar still. The solar radiation ranged from 600 to 1000 W/m², the …

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The Contributors, Marites Tiongco Jan 2026

The Contributors, Marites Tiongco

DLSU Business & Economics Review

No abstract provided.

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Professional Identity Exploration And Commitment Development By Stem Undergraduates From Underrepresented Groups During Near-Peer Mentoring, Joseph A. Brobst, Joanna K. Garner, David Hartenstine, Perry Fizzano Jan 2026

Professional Identity Exploration And Commitment Development By Stem Undergraduates From Underrepresented Groups During Near-Peer Mentoring, Joseph A. Brobst, Joanna K. Garner, David Hartenstine, Perry Fizzano

Center for Educational Partnerships Publications

This study examines near-peer mentoring as a context for professional identity development by undergraduates from groups that are underrepresented in STEM higher education. Mentees were students in a computer science/mathematics‑focused scholarship program, with a two-tiered near-peer mentoring component that paired 1st-2nd‑year undergraduate mentees with 3rd-4th year mentors and 3rd-4th year mentees with early‑career professional mentors. We analyzed mentoring conversation summaries from three mentor–mentee pairs, spanning one academic year. Mentoring relationships provided safe spaces for students’ professional identity exploration and the development of commitments toward career paths and life goals. Across all cases, conversation summaries …

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Strengthening Literacy Outcomes For Students With Severe Disabilities: The Impact Of Teacher Preparation, Evidence-Based Approaches, And Learning Environments, Kallie Casale Jan 2026

Strengthening Literacy Outcomes For Students With Severe Disabilities: The Impact Of Teacher Preparation, Evidence-Based Approaches, And Learning Environments, Kallie Casale

All Electronic Theses and Dissertations

This literature review thesis examines factors influencing literacy instruction for students with severe disabilities, focusing on evidence-based approaches, educator training, and learning environments. The findings highlight that systematic instruction and specialized training, such as online modules, eCoaching, and practice-based feedback, significantly improve educator knowledge and student skill acquisition. The review demonstrates that comprehensive curricula, such as the Early Literacy Skills Builder (ELSB), yield greater gains in phonics and decoding than traditional sight-word approaches. The review of research also illustrates that inclusive settings promote academic progress through peer modeling and higher learning expectations than traditional self-contained environments. However, some educators prefer …

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Supporting Early Literacy In Preschool: The Influence Of Activity Settings, Shared Reading, And Teacher–Child Interactions, Megan Turnquist Jan 2026

Supporting Early Literacy In Preschool: The Influence Of Activity Settings, Shared Reading, And Teacher–Child Interactions, Megan Turnquist

All Electronic Theses and Dissertations

This literature review explores current research about the activities and settings currently in place in preschool classrooms across North America. While a majority of the preschool day is spent in whole-group and free-choice activities, research indicates that instruction provided in small groups and book reading are two important ways to harness engagement and deliver high-quality instruction. Different kinds of teacher-child interactions during book reading can support the development of crucial early literacy skills, such as vocabulary and print knowledge. While time spent on literacy content varied widely across classrooms, teachers responded well to training in both print referencing and dialogic …

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From Implementation To Impact: Schoolwide Mtss Systems And Student Growth, Amanda Kay Reinarts Jan 2026

From Implementation To Impact: Schoolwide Mtss Systems And Student Growth, Amanda Kay Reinarts

All Electronic Theses and Dissertations

Multi-Tiered Systems of Support (MTSS) are widely used in schools to organize academic, behavioral, and social-emotional support for students. Although MTSS is intended to function as a comprehensive schoolwide framework, implementation often becomes fragmented when schools treat it as a standalone tiered-intervention model rather than an integrated system of support, instruction, assessment, and intervention. This fragmentation can limit the effectiveness of MTSS and reduce its impact on student achievement and organizational improvement. This literature review examines how school leaders leverage MTSS as a dynamic, schoolwide system to improve student achievement and organizational effectiveness. This review focuses on leadership structures, organizational …

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The Impact Of Special Education Inclusion On The Academic And Social Development Of Students With Disabilities, Sarah Phoebe Phelps Jan 2026

The Impact Of Special Education Inclusion On The Academic And Social Development Of Students With Disabilities, Sarah Phoebe Phelps

All Electronic Theses and Dissertations

Research of special education inclusion in mainstream classrooms indicated that it can enhance the academic and social development of students with disabilities, and that it could also make a positive impact on the peers without disabilities. However, there is continued concern regarding teacher readiness, resource limitations, and the appropriateness of full inclusion for students with significant disabilities. To create a successful inclusive classroom, teachers need support, proven strategies, and the implementation of the strategies. This literature review will look at the successes and challenges of inclusive education as a whole, and highlight the evolution of exclusive practices to the current …

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Pafex: Compiler-Based Floating-Point Exception Detection For Gpu Kernels With Papispecific Software-Defined Events, Samin Islam, Shirley V. Moore, Christoph Q. Lauter Jan 2026

Pafex: Compiler-Based Floating-Point Exception Detection For Gpu Kernels With Papispecific Software-Defined Events, Samin Islam, Shirley V. Moore, Christoph Q. Lauter

Graduate Student Papers (CS)

As high-performance computing becomes progressively heterogeneous, the dependence upon vendor specific tools for numerical correctness has become an impediment to portability. Although modern GPUs comply with the IEEE 754 standard, the lack of practical native hardware support to raise and handle exceptions (special values like ±∞ or NaN) is a well-known architectural limitation. To embed portable numerical correctness across heterogeneous systems, we propose an architecture agnostic prototype based on LLVM-compiler infrastructure. This framework detects floating-point exceptions in GPU kernels at the Intermediate Representation (IR) level, instrumenting both device code and host code, strictly complying with the 2019 IEEE 754 standard. …

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Advancing Food Equity Through Explainable Ai (Xai): Identifying Place-Based Factors And Conditions Of Food Security, Leslie Hoglund, Hyoshin Park Jan 2026

Advancing Food Equity Through Explainable Ai (Xai): Identifying Place-Based Factors And Conditions Of Food Security, Leslie Hoglund, Hyoshin Park

Health Behavior, Policy & Management Faculty Publications

Food behaviors, food security, and their association with socioeconomic factors constitute a critical area of study with implications for public health, economic stability, and social equity. Understanding these relationships are essential for developing effective policies and interventions that promote sustainable, healthy food systems and greater food equity. This paper employs explainable artificial intelligence (XAI) methods to identify key features influencing household food behaviors. The insights gained from the XAI analysis are further utilized in conjunction with inverse reinforcement learning (IRL) to examine expert behaviors related to eating habits satisfaction. The XAI results reveal that household health conditions, spending patterns, and …

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Niu Working Papers 2025 - 2026, Northern Illinois University Jan 2026

Niu Working Papers 2025 - 2026, Northern Illinois University

Working Papers

No abstract provided.

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Entry Requirements As Predictors Of Early Academic Success And Student Performance In Undergraduate Occupational Therapy Education, Eileen Du Plooy, Daleen Casteleijn, Denise Franzsen, Gopika Ramkilawon Jan 2026

Entry Requirements As Predictors Of Early Academic Success And Student Performance In Undergraduate Occupational Therapy Education, Eileen Du Plooy, Daleen Casteleijn, Denise Franzsen, Gopika Ramkilawon

Journal of Occupational Therapy Education

The selection process for health sciences programs such as occupational therapy is complex, involving a combination of academic and non-academic selection criteria as entry requirements. This study aimed to investigate the predictive value of entry requirement variables on academic performance during the first and second year of an undergraduate occupational therapy program in South Africa. A quantitative, cross-sectional design was utilized, and the sample included 129 first- and second- year occupational therapy students. Data was collected retrospectively through educational data mining of university records and institutional dashboards. The variables analyzed included National Senior Certificate Grade12 (NSC12) grades (Mathematics, Life Sciences, …

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