Digital Commons Network^™

Paidar: Private Sector Allied For Inclusive Delivery Of Accessible Reproductive Health, Population Council Pakistan

Sexual and Reproductive Health, Rights, and Choices

Pakistan continues to face critical challenges in increasing contraceptive use and reducing the unmet need for family planning (FP). While public-sector facilities remain key providers, a substantial proportion of healthcare seekers rely on private family physicians as their initial point of contact.

Recognizing this strategic opportunity, the PAIDAR study was designed to strengthen the role of private- sector male family physicians in FP service delivery. Implemented across six diverse districts of Punjab, supported by Health Care Commission Punjab and Department of Health and Population Punjab, the intervention enhanced providers' capacity to deliver quality FP counselling, contraceptive services, structured referrals, and …

Making Better Use Of Data For Improved Health Service Delivery In Punjab: Transforming Data Into Action Evidence, Population Council Pakistan

Sexual and Reproductive Health, Rights, and Choices

Strong health systems depend not only on collecting data, but on using it effectively for planning, monitoring, and decision-making. To strengthen evidence-based management across Punjab's health sector, the Population Council partnered with the Health and Population Department, Punjab, particularly the Health Information and Service Delivery Unit (HISDU), to improve the utilization of routine health information. This brief summarizes the collaboration's focus on three complementary areas: (1) Development of the ASET (Analytics for Service Efficiency and Tracking) platform to transform routine data into actionable information; (2) Strengthening the Capacity of Data Users through specialized training in data analytics, visualization, and use …

Advanced Mathematical Modeling And Data-Driven Techniques For The Diagnosis Of Diabetes Using Continuous Glucose Monitoring (Cgm) Data, Farah Morsi

Theses

Diabetes mellitus is a major and growing health challenge, particularly in the Middle East and North Africa (MENA) region. Continuous Glucose Monitoring (CGM) provides high-resolution time-series data that capture detailed glucose fluctuations over time. However, conventional CGM summary measures, such as mean glucose, standard deviation, and time-in-range, may not fully describe the nonlinear temporal structure of glucose dynamics.

This thesis investigates nonlinear dynamical approaches for analyzing CGM time series, with a focus on recurrence-based analysis and ordinal-network analysis. Recurrence-based methods, including recurrence quantification analysis (RQA), are used to characterize geometric and temporal patterns in reconstructed phase space, while ordinal networks …

استخدام تقنيات الذكاء الاصطناعي في إجراءات الاستدلال والتحقيق "دراسة مقارنة", حمد مصبح اليليلي

Theses

The Use of Artificial Intelligence Techniques in Reasoning and Investigation Procedures: Comparative Study

This research aims to analyze the role of artificial intelligence (AI) technologies in the stages of criminal investigation and inquiry through an applied analytical study. It focuses on the use of these technologies to support law enforcement and investigators with advanced scientific methods, particularly in analyzing digital evidence and accurately linking it to suspects. The study also explores the future development of these systems through their integration with AI technologies to enhance the efficiency of criminal investigation.

The United Arab Emirates has consistently been keen to develop …

Fractional Bernstein Polynomial Approximations For Nonlinear Timefractional Partial Differential Equations, Reem Abdul Quzli

Theses

This thesis studies the numerical approximation of nonlinear time-fractional partial differential equations using fractional Bernstein polynomials. The main model considered is the nonlinear time-fractional foam drainage equation, in which the classical time derivative is replaced by the Caputo fractional derivative. This formulation introduces memory effects into the model and allows the present drainage behavior to depend on the previous evolution of the liquid fraction.

The proposed method approximates the solution by a finite expansion of fractional Bernstein basis functions. After substituting this approximation into the governing equation, the residual is expanded in powers of t^�� . The unknown coefficient …

Sea-Ice Observation In The Arctic By The Arab Satellite 813, Simulated By The Radiative Transfer Model ‘Sciatran’, Tuqa Mohsin Al Hajri

Theses

The purpose of this research is to explore the spectral behavior of sea ice and to understand how Arctic sea ice surfaces appear when they are observed with a hyperspectral sensor. This is crucial because sea ice changes a lot during the melt season, and different surface types can sometimes look similar to a human eye, but physically they are different. It is thus essential to identify the spectral differences between these surfaces. The main objective of this study is to examine how the spectra of white ice and melt ponds change when their physical and optical properties are varied, …

Control And Entrainment Of Oscillatory Dynamics In An Oncolytic Virus–Tumor Model Under Periodic Therapy Forcing, Aya Salaheddin Shujrawi

Theses

This thesis investigates the dynamics of a tumour–virus interaction model under sinusoidal periodic viral injection, using the three-compartment ordinary differential equation framework of Baabdulla and Hillen (2024). The aim is to characterise how the frequency and amplitude of periodic injection interact with the system's intrinsic oscillatory dynamics, and to identify conditions for stable frequency entrainment. Equilibrium and Hopf bifurcation analysis of the autonomous system yields a supercritical bifurcation at θ_H^auto ≈ 338.45 with intrinsic frequency Ω₀^auto ≈ 0.7552. Introducing a constant baseline injection u₀ = 0.05 raises the threshold to θ_H^forced ≈ 364.85 and shifts …

Effects Of Led Light Spectra And 1-Mcp On Postharvest Quality And Bioactive Compounds Of Cucumber (Cucumis Sativus L.) During Cold Storage, Imad Eldin Abbas Yousif

Theses

Extending postharvest quality and maintaining the nutritional value of cucumber fruit requires specific storage conditions to postpone senescence and enhance marketability. The postharvest lighting environment is a main factor that influences quality preservation for harvested biomass. The objective of this study was to investigate the effects of different light emitting diodes (LED) spectra (green, red, blue, and white LED) alone or in combination with 1-Methylcyclopropene (1-MCP) on postharvest quality and bioactive compounds of cucumber fruit during cold storage for 16 days at 5°C, the control fruit were left in the dark. For combined treatment, the fruits were exposed to 1-MCP …

Airline Strategy Research: A Bibliometric And Thematic Analysis (1980–2025), Mustafa Kaya, Tuba Bayar, Renan De Oliveira, Gui Lohmann, Ferhan K. Sengur

Research outputs 2022 to 2026

Research on strategic management in airlines has rapidly expanded since its inception in the 1980s, with studies providing valuable insights into topics such as alliances, competitiveness, sustainability, and digitalisation. To contribute to this effort, the present study presents an integrative bibliometric analysis of 306 documents indexed in either the Web of Science or Scopus (1980–2025). Using Bibliometrix (R), a performance analysis indicated that although this research topic shows steady growth, its citation impact is concentrated among a limited number of authors, institutions, and specialist journals. Competitive advantage, service quality, alliances, low-cost airlines, financial performance, business strategy, revenue management, and pricing …

Maternal Prenatal Anxiety And Risk Of Preterm Birth And Low Birthweight: Evidence From A Cumulative Meta-Analysis With Stability Thresholds, Bereket Duko, Desta, Biniyam Sahiledengle, Yohannes Tekalegn Efa, Tenaw Tiruye, Lisa Whitehead, Gavin Pereira, Amanuel Tesfay Gebremedhin

Research outputs 2022 to 2026

Background: We conducted cumulative meta-analyses to quantify the degree to which maternal prenatal anxiety impacts preterm birth (PTB) and low birthweight (LBW), and to identify when findings reached stability, enabling confident recommendations for early interventions. Methods: Following PRISMA guidelines, we systematically searched PubMed/MEDLINE, PsycINFO, Scopus, EMBASE, CINAHL (EBSCO), ProQuest, and the Cochrane Library from database inception to May 7, 2025. The methodological quality of included studies was assessed using the Newcastle–Ottawa Scale. Inverse variance weighted random-effects cumulative meta-analysis was performed to pool adjusted odds ratios (AORs) with sequential inclusion of newly published studies. Stability thresholds were computed to assess sufficiency …

Spatiotemporal Pah Patterns In Size-Fractionated Particles (Pm>10-Pm0.1) From Northern Thailand Biomass Burning Via Sentinel-2, Phakphum Paluang, Watinee Thavorntam, Sarawut Sangkham, Phuchiwan Suriyawong, Hisam Samae, Thaneeya Chetiyanukornkul, Masami Furuuchi, Worradorn Phairuang

Research outputs 2022 to 2026

Biomass burning, particularly from forest fires and crop residue burning during the dry season, is a major source of particulate pollution across many Asian countries. However, accurately identifying these emissions remains challenging due to uncertainties in burned area estimation and the limited availability of country-specific emission factors. This study quantified the spatiotemporal distribution of emissions from biomass burning using satellite imagery. Burned areas were classified using a random forest (RF) algorithm implemented on the Google Colaboratory (Colab) platform. The RF model showed strong performance, with a kappa coefficient of 0.85 and an average accuracy of 0.81. Emission estimates for the …

Georoad-Upernet: Geo-1-Based Weakly Supervised Multispectral Road Extraction Via Role-Aware Context Fusion And Semantic Regularization, Shaoqian Chen, Yunliang Chen, Jianxin Li, Ao Yang

Research outputs 2022 to 2026

Extracting roads accurately from remote sensing images is important for map updates, traffic analysis, and infrastructure monitoring. Medium-resolution multispectral images can provide useful surface and background information, but when used alone, the spatial details are limited for retaining narrow roads, intersection structures, and fine road topologies. To address this problem, this paper proposes GeoRoad-UPerNet, a Geo-1-centered weakly supervised multispectral framework for road extraction. In this framework, Geo-1 serves as the primary 16-band multispectral source, Sentinel-2 Level-2A imagery serves as auxiliary contextual support, and OpenStreetMap (OSM) road information is converted into proxy supervision rather than dense manual ground truth. GeoRoad-UPerNet contains …

“Grandpa, Can You Speak Nicer?”: Envisioned Chatbot Roles And Design Tensions In Intergenerational Communication Conflicts, Tianyi Zhang, Emran Bin Elias Poh, Yueyue Hou, Yi-Chieh Lee, Renwen Zhang, Jiannan Li, Anthony Tang

Research Collection School Of Computing and Information Systems

Intergenerational conversations often break down when differences in tone, language, or expectations lead participants to feel dismissed or misunderstood. In this work, we explore how people envision AI-driven chatbot interventions for addressing communication problems in text-based intergenerational family chat. We conducted a scenario-based design interview with 10 pairs of family members from different generations, in which participants designed chatbot interventions that varied in intervention target and timing. Our findings show that participants expect chatbots to perform multiple themes of intervention, including mediating understanding, providing emotional support, offering evaluative commentary, and guiding interaction through behavioral suggestions. These expectations varied systematically across …

Group Conversational Agents: A Review Of Designs That Support And Shape Group Interaction, Shunyi Yeo, Tianyi Zhang, Scott Bateman, Gary Hsieh, Young-Ho Kim, Simon Tangi Perrault, Jiannan Li, Anthony Tang

Research Collection School Of Computing and Information Systems

Conversational agents that participate in or mediate group interaction introduce challenges that extend beyond supporting individual users, raising new questions about how agents participate in and influence groups. To characterise this emerging design space, we present a systematic review of 53 peer-reviewed studies on group conversational agents (GCAs). We analyse how GCAs intervene in group-level processes, including participation regulation, conflict mediation, task alignment, and execution support. Using concepts from group research as an analytic lens, we organise prior GCA work around recurring group interactional challenges (orientation, conflict, alignment, and execution), and examine the roles agents are designed to play in …

Cfalr: Collaborative Filtering-Augmented Large Language Model For Personalized Fashion Outfit Recommendation, Yujuan Ding, Junrong Liao, Yunshan Ma, Yi Bin, Wenqi Fan, Tat-Seng Chua, Qing Li

Research Collection School Of Computing and Information Systems

Personalized outfit recommendation poses a significant challenge in e-commerce and social media platforms, requiring systems that balance user preferences with aesthetic compatibility. Collaborative filtering (CF) provides a traditional solution for this, but it struggles with data-sparse scenarios and complex user-item-outfit relationships. Meanwhile, existing template-based approaches are constrained by rigid pre-designed structures. To bridge these research gaps, we introduce CFALR (Collaborative Filtering-Augmented Large Language Model for Recommendation), a novel framework that synergizes collaborative filtering with large language models for personalized outfit recommendation. Specifically, CFALR describes user-outfit interactions in natural language and leverages LLMs to capture fashion semantics while employing CF-enhanced embeddings …

Review Of Recovery Processes Of Palladium, Platinum, Gold, And Silver From Metallurgical Wastes, Luis Sanchez-Calderon, Marthias Silwamba, Lana Alagha

Mining Engineering Faculty Research & Creative Works

Gold (Au), silver (Ag), platinum (Pt), and palladium (Pd) are precious metals with high economic value and critical industrial significance. Platinum and Pd, in particular, are classified as critical metals by major economies such as the United States, European Union, Japan, and South Korea due to their limited supply and essential roles in clean energy and high-technology applications. The rising market value and criticality of these metals have generated interest in their recovery, not just from primary ores and traditional source materials but also from secondary sources, such as metallurgical wastes. This review provides a thorough evaluation of current and …

Exploiting Underground Mine Topology For Resilient Concurrent Lora Mesh Emergency Communications: Architecture, Protocol Design, And Performance Analysis, Hilary Kelechi Anabi, Samuel Frimpong, Muhammad Azeem Raza

Mining Engineering Faculty Research & Creative Works

Underground mine emergencies compromise fixed communication infrastructure exactly when situational awareness is most critical for effective rescue operations. Existing LoRa mesh protocols fail in underground mines because they ignore the structured topology of tunnel networks, specifically the waveguide effect along straight galleries, severe signal discontinuity at junctions, and the dead-end geometry of working faces. This paper presents the Topology-Aware Concurrent LoRa (TACL) mesh protocol, in which each node autonomously infers its structural role from local RF observations and packet header information, without GPS, pre-loaded mine maps, or central coordination. Role classification resolves the contender estimation problem (Formula presented.) left open …

Mechanism-Based Assessment Of Respirable Dust Exposure In Miners: Integrating Cfd-Dpm Simulation With Personalized Monitoring For Occupational Health Risk, Jiajun An, Fan Geng, Yuqing Feng, Changgeng Gui, Shihang Li, Xinjian He, Guang Xu, Zheng Zhang, Yibao Wang

Mining Engineering Faculty Research & Creative Works

Respirable dust in confined mine environments represents a significant environmental and occupational health challenge, requiring advanced monitoring and risk assessment methodologies. Current area-level monitoring overlooks the heterogeneity of personal exposure fields and the critical influence of human-ventilation interactions on local contaminant dispersion. This study develops an integrated monitoring-simulation method to quantify multi-worker dust exposure, assessing how worker position and orientation modulate risk under forced ventilation in narrow roadways. Occupational-specific dust sampling provided validation data for a three-dimensional Computational Fluid Dynamics-Discrete Phase Model (CFD-DPM) incorporating human-ventilation interactions. The model integrates a MATLAB-developed breathing function to dynamically couple respiratory cycles with particle …

A Hybrid Mechano-Thermal Route To Synthesize Reactive Pozzolans From Clay Minerals: A Case Of Kaolinite, Oluwadamilare Charles Adesina, Bryan K. Aylas-Paredes, Brian R. Cherry, Luciano A. Gobbo, Aditya Kumar, Narayanan Neithalath

Materials Science and Engineering Faculty Research & Creative Works

Aluminosilicate resources from unconventional sources offer promising potential for developing low-carbon supplementary cementitious materials (SCMs), yet their activation typically requires energy-intensive thermal processing. Kaolinite is a geographically abundant and highly attractive precursor clay mineral to reduce the clinker factor in concrete. By integrating mechano- and thermo- chemistry sequentially in a novel hybrid mechano-thermal activation (MTA) strategy for clay mineral activation, the dehydroxylation of pure kaolinite polymorphs KGa-1b and KGa-2 for enhanced pozzolanic reactivity is unlocked at temperatures that are lower than those needed for conventional thermal activation (TA). The mechano-chemical activation (MCA) step that induces significant structural defects and disorder …

Pso-Style Social Influence In An Ant Colony Algorithm For Continuous-Domain Optimization, Ashraf M. Abdelbar, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

ACOR is a well-established Ant Colony Optimization (ACO) algorithm for continuous-domain optimization. In this paper, we propose an extension (which we call ACOR∗) in which several fundamental modifications are made to ACOR's solution construction process, including the incorporation of a social influence mechanism borrowed from Particle Swarm Optimization (PSO). Our modifications to the ACOR algorithm are intended to promote search diversity and combat premature convergence. We experimentally evaluate our proposal in the context of training feedforward neural networks for classification using 65 widely used datasets from the University of California Irvine (UCI) repository, as well as the optimization of several …

Addressing Mental Health Issues And The Effectiveness Of Cognitive Behavioral Therapy And Mindfulness-Based Interventions Among Athletes, Shelby Jones-Stachnik

Dissertations

This literature review identifies mental health concerns among competitive athletes and evaluates psychological interventions to address these challenges. Specifically, the review explores the mental health concerns experienced by athletes engaged in high-level sport. It examines whether cognitive behavioral therapy and mindfulness-based interventions are effective approaches for improving psychological outcomes in this population. A systematic review of peer-reviewed research was conducted, and findings were synthesized to evaluate the effectiveness of cognitive behavioral therapy and mindfulness-based interventions. The review included randomized controlled trials, quasi-experimental studies, and meta-analyses examining psychological interventions in athletic populations. Findings across the literature indicate that both cognitive behavioral …

Evaluating Equity In 9th And 10th Grade Ela Instruction, Alana Brown

Dissertations

Persistent racial disparities in English Language Arts (ELA) achievement remain a critical challenge in secondary education, particularly for Black students. This mixed-methods study examined the reading proficiency gap between Black and White students in Grades 9 and 10 on the state under study’s reading assessment. The purpose was to identify effective instructional strategies, necessary resources, and implementation processes to reduce the gap and ensure sustainability. Findings indicated that culturally responsive instruction, targeted intervention, and data-informed instructional coaching improved student engagement and reading performance. However, inconsistent implementation and limited early literacy foundations remained significant barriers. Recommendations include strengthening professional learning communities, …

Leading With Emotional Intelligence: Strengthening Leadership Effectiveness In Early Childhood Education, Christy L. Martin

Dissertations

This study examined the role of emotional intelligence (EI) in leadership effectiveness within early childhood education settings. Leadership in these contexts involves navigating complex relationships, staff stress, and organizational demands, yet leadership preparation often emphasizes technical skills over emotional competencies. The study explored how EI influences leadership effectiveness and how reflective practices support leadership development. Guided by the question How does emotional intelligence impact leadership effectiveness?, the study used a mixed-methods design. Quantitative data were collected through an EI Inventory of Practices self-assessment measuring four EI domains, and qualitative data were gathered through semi-structured interviews. Findings suggest emotionally intelligent …

Hydroxamate Formation In The Lipopeptide Containing Siderophore Taiwachelin, Aaron J. Gringer, Kernen P. Agwaza, Isabel Da Fonseca, Pablo Sobrado

Chemistry Faculty Research & Creative Works

Cupriavidus taiwanensis is a nitrogen-fixing bacterium found in root nodules of the invasive tropical weed Mimosa pudica . C. taiwanensis has been shown to grow in environments contaminated with heavy metals such as Pb, Cu, and Cd. Taiwachelin, a recently identified siderophore produced by C. taiwanensis , is an iron chelator that contains a hydroxamate functional group for metal binding. In its biosynthesis, a flavin-dependent N-monooxygenase (NMO) was predicted to hydroxylate l -ornithine, leading to formation of the metal binding hydroxamate moiety. Here, we report the cloning, expression, and biochemical characterization of this enzyme, herein referred to as CtNMO. CtNMO …

Golden And Silver Dark Sirens For Precise H0 Measurement With Hetdex, Yixuan Dang, Ish Gupta, Robin Ciardullo, Erin Mentuch Cooper, Shiksha Pandey, Dustin Davis, Surhud More, Rachel Gray, Hsin Yu Chen, Daniel J. Farrow, Caryl Gronwall, Donghui Jeong, Shun Saito, Donald P. Schneider

Physics Faculty Research & Creative Works

Gravitational waves (GWs) from compact binary coalescences are standard sirens that provide a direct measure of the source's luminosity distance, enabling an independent measurement of the Hubble constant (H0). While a bright siren—a GW event with an identified electromagnetic (EM) counterpart—provided the first such constraint, most detections, currently dominated by black hole mergers, lack EM signatures. A measurement of H0 is still possible with these dark sirens by statistically associating GW events with galaxies in existing catalogs based on the sky localization. In this work, we explore the potential of two subsets of dark sirens categorized by their localization precision: …

Phases And Dynamics Of An Impurity Immersed In One-Dimensional Quantum Droplets, Dimitrios Diplaris, Ilias A. Englezos, Friethjof Theel, Peter Schmelcher, Simeon I. Mistakidis

Physics Faculty Research & Creative Works

We explore the ground-state properties of a single impurity immersed in a one-dimensional quantum droplet medium formed by a two-component Bose mixture. Relying on ab initio simulations, we demonstrate that tuning the impurity–droplet interactions allows to controllably reshape the droplets' density profiles and associated correlation patterns. For attractive impurity-medium couplings, the impurity becomes localized within the droplet, which exhibits a density hump at the vicinity of the impurity, while repulsive interactions facilitate phase separation. Comparing our many-body results with the appropriate extended Gross–Pitaevskii description, we find adequate agreement for the droplet density profiles, with the effective field approach systematically overestimating …

Recycling Aged Crumb Rubber-Modified Asphalt Pavements: A Review, Kwadwo Ampadu Boateng, Meng Wu, Dongzhao Jin, Zhanping You

Michigan Tech Publications

This study provides a comprehensive review of current progress and challenges in recycling crumb rubber-modified asphalt (CRMA) pavements. It examines key aspects, including mechanical performance, rejuvenation methods, chemical characterization, practical case studies, and environmental implications. Particular emphasis is given to the technical barriers that influence recyclability, such as the mix design for recycled mix, accounting for the combined aging of both the asphalt binder and the crumb rubber particles, and optimizing the rubber content alongside chemical interaction of rejuvenating agents. Existing research indicates that several traditional recycling practices, especially full-depth reclamation and hot central plant recycling, are generally suitable for …

S-[2-(Hydroxyamino)-2-Oxoethyl]-O-Octyl-Dithiocarbonate Ester (Ehaox): Performance And Adsorption Mechanism, Yue Zhou, Jiaxiang Li, Hongli Fan, Zhilong Li, Yuesheng Gao, Tian Lin, Haiyan Tang, Tingting Wang, Wei Sun

Michigan Tech Publications

This study explores the interfacial interactions between a novel collector, S-[2-(hydroxyamino)-2-oxoethyl]-O-octyl-dithiocarbonate ester (EHAOX), and bastnaesite mineral surfaces during selective flotation. Compared to conventional octylhydroxamic acid (OHA), EHAOX demonstrated superior recovery, achieving an over 40% absolute increase in recovery compared to octylhydroxamic acid (OHA) at the same collector concentration (1 × 10⁻⁵ mol/L) and pH 8.0, and selectivity for bastnaesite, attributed to its optimized hydrophobicity (supported by CLogP calculations). Mechanistic studies via zeta potential, UV/vis spectroscopy, and FTIR revealed the formation of a complex composite via chemisorption between EHAOX and Ce³⁺ sites on the bastnaesite surface, with coordination occurring …

Adventist Church Next, Gerardo Oudri

Faculty Publications

No abstract provided.

Nodal Elimination For E3 Hemp Mitigation: A Physics-Informed Graph Theory Approach, Connor A. Lehman, Rush Robinett, Quinnlin R. Lehman, David G. Wilson, Wayne Weaver

Michigan Tech Publications

This paper presents a comparison of methods to determine the minimum number of placement locations for neutral blocking, global linear quadratic regulator (G-LQR), and local linear quadratic regulator (L-LQR) controllers throughout a power grid to prevent transformer saturation during the onset of an E3 high-altitude electromagnetic pulse (HEMP) disturbance. Different device placement configurations yield different efficacies in E3 HEMP mitigation. The first placement method discussed is a genetic algorithm (GA), which serves as a baseline optimizer test case. The scaling and run time of the GA depend on the complexity of the objective function and often times becomes intractable as …