Digital Commons Network^™

Valorisation Of Barley Straw For Sustainable Nanocellulose Production Via Subcritical Alkaline Hydrolysis And Hdes-Assisted Processing, Dileswar Pradhan, Swarna Jaiswal, Brijesh K. Tiwari, Amit K. Jaiswal

Research Outputs: 2025-Present

This study investigates a sustainable and efficient approach to valorising barley straw by producing nanocellulose via an integrated subcritical alkaline hydrolysis and HDES-assisted processing pathway. Subcritical alkaline pretreatment under best processing conditions (150 bar, 200 °C, 125 min) enabled effective biomass fractionation, achieving average hemicellulose and lignin solubilisation of 57.72% and 82.69%, respectively. Subsequent purification of the pretreated solid fraction yielded cellulose fibres with an average cellulose yield of 41.97% and a purity of 87.87%. Nanocellulose was then obtained using a sequential HDES treatment followed by high-intensity ultrasound (HIUS), producing a sample (NC-BTW-3) in which 66% of particles exhibited diameters …

Characterization Of Nutritional And Flavor Profiles Of Aromatic Black Rice, India, Babli Waribam, Raju Sasikumar, T. Selva Kumar, Phani Kumar Garlapati, Sandeep Janghu, S. Chakkaravarthi, Paul Mansingh, Vidisha Tomer, Amit K. Jaiswal

Research Outputs: 2025-Present

Chakhao is an indigenous aromatic black rice variety from Manipur, India, valued for its distinctive flavor, high anthocyanin content, and associated health benefits. Despite its geographical indication status, limited information exists on how regional cultivation conditions influence its compositional attributes. This study characterizes and compares the nutritional composition, mineral content, volatile profile, and fatty acid methyl esters (FAMEs) composition of Chakhao sourced from five major cultivation regions in Manipur. Proximate analysis quantified moisture, protein, ash, fiber, fat, and carbohydrate content, whereas GC-MS/MS and ICP-MS were employed to profile volatile compounds, FAMEs, and mineral elements. Carbohydrates were the predominant macronutrient (73.88%–74.21%), …

Multifunctional Nanomaterials Coupled With Ai-Based Optimization For Advanced Wastewater Treatment, Ananya Tiwari, Isha Dharsandia, Shreedhar Tiwari, Gajendra Singh Vishwakarma, Budhi Sagar Tiwari, Narendra Kumar, Amit K. Jaiswal

Research Outputs: 2025-Present

Conventional wastewater treatment performs reliably against routine contaminants but remains inconsistent for complex industrial effluents and for emerging pollutants such as pharmaceutical residues, per- and polyfluoroalkyl substances and micro/nano plastics. Engineered nanomaterials and artificial intelligence (AI)/machine learning (ML) have each been reviewed extensively, but predominantly in isolation. The present review is distinguished from existing reviews in three specific respects. First, the nanomaterial-AI interface is treated as the unit of analysis rather than the two fields being surveyed in parallel: AI-guided material selection, dosing and pH control, membrane fouling prediction, nano sensor-assisted monitoring and regeneration scheduling are examined together. Second, evidence …

Transient Nanomaterials And Stimuli-Driven Transformation Pathways For Clean Energy Applications And Environmental Remediation, Mrinal, Navya Vikraman Nair, Lovepreet Singh, Harshita Jain, Krishna Kumar Jaiswal, Amit K. Jaiswal

Research Outputs: 2025-Present

The growing use of nanomaterials in clean energy and remediation has led to unintended consequences, including long-term persistence, secondary contamination, and accumulation in the natural environment. Traditional materials design has focused on stability and durability, but those qualities could be liabilities if materials outlive their intended purpose. This study suggests using transient nanomaterials as a design paradigm, in which materials are engineered to perform optimally for a specific period of time and then undergo controlled transformation, deactivation, or disappearance. The review focuses on the conceptualization of transient nanomaterials and how they may be distinguished from degradable, recyclable, and stimuli-responsive materials. …

Assessment Of Allergenic Potential For Cross‐Reactivity Of Olive (Olea Europaea) Pit Xylo‐Oligosaccharide‐Rich Extract With Legislated Allergens In The European Union, Maame Ekua Manful, Joseph O'Shea, Antía Torres, Paz Otero, Catherine Barry-Ryan

Research Outputs: 2025-Present

Novel food sources must undergo allergenicity assessments to ensure consumer safety and regulatory compliance. Xylo-oligosaccharide-rich extract (XOS) derived from the valorization of olive (Olea europaea) pit is categorized as a novel food in the context of European Union (EU) food laws. Despite the functional benefits of xylo-oligosaccharides such as prebiotic, gut modulation, and weight management being a well-established area, there is a lack of information on the allergenic potential of olive pit-derived XOS extract. The study aimed to evaluate the cross-reactivity of olive pit-derived XOS extract with other allergens through both in vitro and in silico approaches. In vitro cross-reactivity …

Agriculture Contributions To Water Pollution And Sustainable Policy Solutions In Europe, Jemma Nolan, Azza Silotry Naik

Research Outputs: 2025-Present

Freshwater is essential for sustaining the health of humans, animals, and ecosystems; however, agricultural activities remain a major source of water pollution globally. This review examines how crop production, livestock farming, and aquaculture contribute to water contamination, the effectiveness of current European policies, and the potential of sustainable mitigation strategies. Evidence from the research identified pesticides, herbicides, veterinary antibiotics, nutrient runoff, aquaculture effluents, and microplastics as the primary agricultural pollutants affecting surface and groundwater quality. These contaminants have been linked to ecosystem degradation, biodiversity loss, endocrine disruption, antimicrobial resistance, and adverse human health outcomes. Despite extensive regulatory frameworks, including the …

Optimizing Marketing Campaigns To Maximize The Response Rate For A Supermarket Using Machine Learning Techniques, Alia Almansoori

Theses

Supermarkets must improve their marketing tactics at a time of changing consumer behavior and increasing competition in the retail industry. Engaging the wide and sophisticated consumer base of today's supermarkets is difficult using traditional methods. This proposal presents a data-driven approach using cutting-edge machine learning methods to enhance supermarket marketing strategies. The main goal is to increase the response rate of marketing initiatives, which will improve consumer engagement and ultimately increase revenue. Additional primary objectives are customer segmentation and targeting, predictive modeling, personalization, ongoing performance monitoring, and ROI evaluation. The current problem centers around personalization and accuracy. Due to the …

Statistical Optimization And Anfis Modeling Of Process And Heat Treatment Effects In Gmaw-Waam 316l Stainless Steel, Joel Sam John

Theses

Additive manufacturing has evolved from the concept of merely rapid prototyping tools to that of a viable technology capable of manufacturing industrial grade parts and components. As a result, the use of metal additive manufacturing techniques has expanded in recent years, fueled by the rapid growth of manufacturing sectors amidst the 4.0 industrial revolution. Within the metal-AM domain, the concept of gas metal arc welding – wire arc additive manufacturing (GMAW-WAAM) has gained increasing traction due to its low operational costs, high deposition rates, and its ability for large scale manufacturing.  The demand of stainless-steel parts has increased owing to …

Generative Imaging For Computational Pathology, Md Jillur Rahman Saurav

Computer Science and Engineering Dissertations

Hematoxylin and eosin (H&E) staining remains central to cancer diagnosis, providing morphological information essential for pathological assessment. Immunohistochemistry (IHC) and newer multiplexed imaging technologies complement H&E by revealing molecular information critical for accurate tumor subtyping and treatment decisions. In practice, however, H&E and IHC are obtained from different consecutive sections that are not spatially aligned, comprehensive multiplexed panels are expensive and tissue-consumptive, and not all stains are available at every clinical site, limiting comprehensive molecular profiling and the full diagnostic potential of these technologies in clinical practice. This dissertation addresses these gaps through three complementary generative deep learning studies in …

Density And Fiber Alignment Of The Fibrous Extracellular Matrix In Ovarian Cancer Metastases, Rachel Glantzberg, Aditi Singh, Mohammad Asghar Qanit

Wetterhahn Science Symposium Posters

The primary aim of this project is to improve and justify biophotonic approaches to label-free, non-invasive cancer detection, particularly within the context of peritoneal metastases from ovarian cancer. Ovarian cancer often metastasizes to the peritoneum, resulting in microanatomical changes in collagen and elastin fiber direction and density. While prior research has provided insights regarding collagen density changes in other types of cancer, peritoneal metastases from ovarian cancer remain minimally characterized, particularly in regards to elastin fibers. Preliminary results suggest that there is a difference in the elastin and collagen contents of healthy and cancerous tissues and that these contents differ …

Preliminary Observations From The Relativistic Electron Atmospheric Loss (Real) Satellite Mission, Evzen Selvon, Robyn Millan

Wetterhahn Science Symposium Posters

The Relativistic Electron Atmospheric Loss (REAL) spacecraft (launched in July 2025) is a 3U cubesat designed to measure the precise energies (1 keV – 2MeV) and pitch angles of electrons entering the Earth’s ionosphere. The mission involves Dartmouth, BU, JHUAPL, MSU, and NASA. REAL carries three particle sensors measuring low, medium, and high energies. This work is focused on the ElectroStatic Analyzer (ESA) instrument, designed to measure lower energy electrons (1-40 keV) in the directions parallel and perpendicular to the Earth’s magnetic field. This research aims to identify notable events observed by the REAL spacecraft for future analysis.

When Machines Collude: Rebooting Antitrust Law For The Age Of Algorithmic Markets, William K. Knight

Emory Law Journal

Increasingly, our lives are being dominated by algorithms. From social media feeds to credit scoring, algorithms play a major role in our day-to-day lives, whether we recognize it or not. An emerging issue in the modern technology landscape is the potential for algorithms to cause anticompetitive harm to free markets. As pricing algorithms become more advanced and more widespread, they could facilitate collusive arrangements in a manner that bypasses antitrust laws, thereby adversely impacting consumers through higher prices. American competition law, primarily governed by the Sherman Antitrust Act, suffers from glaring deficiencies and ambiguities that remain unresolved, leaving it manifestly …

Predicting Next-Day Eur/Usd Direction Using News Sentiment And Technical Indicators With Finbert And Xgboost, Darshan Sanjaybhai Khunt

Selected Full-Text Master Theses 2021-

Forecasting exchange-rate movements is a challenging task because currency prices are influenced not only by macroeconomic and financial variables but also by market sentiment reflected in financial news. This thesis examines whether financial news headlines can be used to predict the next-day directional movement of the EUR/USD exchange rate by applying finance-specific natural language processing and machine learning techniques.

The study uses a dataset of approximately 466,000 finance-related English-language news headlines collected between 2021 and 2025, aligned with daily EUR/USD closing prices. After preprocessing and temporal alignment, the data are used to construct a binary classification task in which the …

Co-Encapsulation Of Microalgae Haematococcus Pluvialis And Lactic Acid Bacteria Lacticaseibacillus Casei Via Filamentous Fungi Scaffolds Improved Probiotic Viability In Simulated Gastro-Intestinal Conditions, Suvro Talukdar, Tyler J. Barzee

Biosystems and Agricultural Engineering Faculty Publications

Fungal-assisted cell immobilization has emerged as a promising approach for food, energy and environmental applications, utilizing the hyphal network of filamentous fungi to encapsulate microorganisms. Co-encapsulation of multiple microorganisms within fungal pellets enables the development of food delivery systems that combine complementary functional and nutritional properties, including enhanced probiotic protection and delivery of bioactive compounds. This study used edible filamentous fungus Aspergillus awamori to encapsulate Haematococcus pluvialis microalgae and Lacticaseibacillus casei lactic acid bacteria (LAB) for probiotic delivery. Both active and heat-deactivated pellets successfully co-encapsulated microalgae and LAB, although low shear conditions were required for inactive fungal states. Under in-vitro …

Exploring Relational Farming Futures For Responsible Innovation In Precision Agriculture Through Q-Method And Speculative Design, Bhavna Joshi, Maaz Gardezi, Edward Prutzer, Awais Hameed Khan, Asim Zia, Benjamin E. K. Ryan, Ali Dadkhah, Donna M. Rizzo, John T. Mcmaine, David Clay

Biosystems and Agricultural Engineering Faculty Publications

This article draws on concepts of speculative design and responsible innovation to examine the possible impacts of data-driven precision agriculture on farmers and farm work. We use an innovative mixed-method approach to research design. Using artistic depiction of futures of precision agriculture in design workshop and in-depth semistructured interviews conducted with the farmers in Vermont and South Dakota, we explain how farmers perceive different futures of precision agriculture. Specifically, in our design workshop, we combined visual arts and social science methods, namely Q-method, to explore existing and new relationships between humans, technologies, and environment in the design, deployment, and use …

Improving Data Collection And Analysis For Development Of An Ai Powered Video Based Autism Screening Tool, Angelica Sanyal, Ziteng Wang

CURE Proceedings

No abstract provided.

Dim Light At Night Impacts Circadian Rhythms And Alzheimer’S Disease-Like Neuroinf Lammation And Neuropathology In Humanized App Saa Knock-In Mice, Marilyn J. Duncan, Margaret R. Hawkins, Leke Bytyqi, Haleigh R. Whitlock, Savannah M. Shepard, Makayla F. Cox, Esther G. Drinkard, Teresa Macheda, Kelly N. Roberts, Katharina Kohler, Mary-Claire Schmidt, Carrie E. Johnson, Sridhar Sunderam, Bruce F. O'Hara, Michael Paul Murphy, Adam D. Bachstetter

Neuroscience Faculty Publications

Artificial light at night (light pollution) is widespread but understudied in the context of Alzheimer’s disease (AD). Sleep and circadian disruption have been linked to amyloid-β (Aβ) accumulation and neuroinflammation, but whether dim light at night (dLAN) modifies these processes remains unclear. We tested whether chronic dLAN exposure (8 lux during the dark phase, 8 weeks) alters circadian rhythms, amyloid pathology, and neuroinflammation in 12–13 month-old humanized APP knock-in (KI) mice. hAPP^SAA KI mice, which develop plaques, were compared with hAPP^WT KI controls carrying only a humanized APP sequence. dLAN reduced circadian rhythm amplitude and stability while increasing …

Forecasting Precipitation In Cuba Using Graph Based Deep Learning, Taufiqul Islam

Earth & Environmental Sciences Theses

Daily precipitation forecasting remained a challenging problem in regions characterized by strong spatial heterogeneity, nonlinear atmospheric dynamics, and intermittent rainfall behavior. Cuba represented a particularly complex case due to the combined influence of tropical cyclones, easterly waves, mesoscale convective systems, and orographic effects, which produced highly variable rainfall patterns in both space and time. Conventional statistical and machine-learning models typically treated stations independently and therefore overlooked spatial dependencies that strongly influenced rainfall variability across the island.

This study developed a spatiotemporal deep-learning framework for daily precipitation forecasting across 40 spatial nodes in Cuba using data from 1979 to 2023. The …

Charge‐Governed Mechanistic Evaluation Of Aav2 Clarification Via Functionalized Flat Sheet And Hollow Fiber Deconstructed Depth Filters, Mara Baughman‐Leach, Mattie Brock, Malgorzata Chwatko, Dibakar Bhattacharyya

Chemical and Materials Engineering Faculty Publications

The expansion of adeno-associated virus (AAV)-based therapeutics has increased the demand for efficient clarification. In this study, a functionalized deconstructed depth filtration platform was developed to dissect how membrane–virus charge, modulated by pH, influences separation. Three charge regimes, positive (pH 4), neutral (pH 6), and negative (pH 8) between the membranes and AAVs, were examined. The flat-sheet system, composed of sequential 1.2, 0.8, 0.45, and 0.1 µm membranes, enabled the first layer-by-layer analysis of depth filtration behavior. This revealed that Stage 1 and Stage 4 dominate clarification. Remarkably, substantial DNA capture (> 75%) was observed even in the largest-pore stage, …

Creep-Recovery Behavior Of Copper Springs At Low Stresses, Ming-Yen Tsai, Shou-Yi Chang, Yi-Chia Chou, Jyun-Lin Hu, Yulin Zhang, Fuqian Yang, Sanboh Lee

Chemical and Materials Engineering Faculty Publications

Copper springs, unlike conventional wires, endure complex stress states such as torsion and bending under sustained thermal and mechanical loads. This study examines the time-dependent creep-recovery behavior of copper springs under low tensile forces at temperatures ranging from 523 K to 623 K, focusing on springs with spring indexes (ratio of mean spring diameter to wire diameter) of 6.4, 8.5, and 9.6. The non-linear Burgers model with a Kelvin solid effectively captures the deformation response and mirrors dislocation nucleation and annihilation kinetics. SEM and TEM imaging reveal that low-angle grain boundaries (LAGBs) act as both dislocation sources and sinks. The …

Candidate Interaction Partners Of Calpain-5 Suggest Clues To Its Involvement In Neovascular Inflammatory Vitreoretinopathy, Jozsef Gal, Vimala Bondada, Rachel Crasta, Dorothy E. Croall, Calvin P. Vary, James W. Geddes

Spinal Cord and Brain Injury Research Center Faculty Publications

Although calpain-5/CAPN5 is widely expressed in mammals, little is known regarding its functions. Pathogenic mutations of CAPN5 are causal for a devastating autoimmune eye disease, neovascular inflammatory vitreoretinopathy (NIV). To provide insight into both the physiological and pathological roles of CAPN5, it is essential to identify candidate interaction partners and possible substrates. Human SH-SY5Y neuroblastoma cells, transfected with full-length catalytically dead (Cys81Ala) CAPN5-3×FLAG, were used for anti-FLAG co-immunoprecipitation (co-IP) and quantitative proteomics using Sequential Window Acquisition of all THeoretical mass spectra (SWATH-MS). Fifty-one proteins were enriched at least four-fold, p < 0.01, relative to cells transfected with an empty FLAG vector. A high proportion (24/51) of candidate CAPN5 interaction partners are associated with protein quality control, including components of the chaperonin, chaperone, and ubiquitin–proteasome systems. Additional candidate interactors include tubulins, kinases, phosphatases, G proteins, and mitochondrial proteins. CAPN5 interactions for 14 of the candidate proteins were confirmed by co-IP and immunoblotting. Of these 14 proteins, 11 exhibited in vitro calcium-induced proteolysis following co-IP with WT CAPN5-3×FLAG. Impaired calcium-induced proteolysis of co-IP proteins was observed for the pathogenic CAPN5 variants R243L and R289W. Further studies are needed to validate the association of candidate CAPN5 interactors with proteins and complexes suggested by the SWATH-MS and co-IP results, and the possible role of CAPN5 within such complexes. The possible involvement of CAPN5 in protein quality control is relevant to NIV, as defects in protein quality control have been implicated in inherited retinal disorders. Proteomic data are available via ProteomeXchange with identifier PXD068008.

Developing Curcumin Analogues For Treating Breast Cancer, Tulasi Laxmi Nutalapati

Theses, Dissertations and Capstones

Breast cancer is still one of the most common types of cancer and one of the most common causes of cancer-related deaths in women around the world. Despite significant advances in early detection and treatment strategies, drug resistance, systemic toxicity, and poor outcomes in aggressive subtypes continue to limit the overall effectiveness of cancer therapy. Natural compounds have become promising anticancer agents because they can target many different things and are not very toxic. Curcumin has shown promise as an anticancer drug, but it cannot be used in the clinic because it does not absorb well, breaks down quickly, and …

Dino-Lg: Enhancing Vision Transformers With Label Guidance For Coronary Artery Calcium Detection, Mahmut Selman Gokmen, Caner Ozcan, Moneera N. Haque, Steve W. Leung, Seth Parker, Brent Seales, Cody Bumgardner

Biomedical Engineering Faculty Publications

Coronary artery disease (CAD), one of the leading causes of mortality worldwide, necessitates effective risk assessment strategies, with coronary artery calcium (CAC) scoring via computed tomography (CT) being a key method for prevention. Traditional methods, primarily based on UNET architectures implemented on pre-built models, face challenges like the scarcity of annotated CT scans containing CAC and imbalanced datasets, leading to reduced performance in segmentation and scoring tasks. In this study, we address these limitations by introducing DINO-LG, a novel label-guided extension of DINO (self-distillation with no labels) that incorporates targeted augmentation on annotated calcified regions during self-supervised pre-training. Our three-stage …

Validity And Reliability Of Force Insoles To Measure Center Of Pressure During Return-To-Sport Testing, Delaney Mcneese, Charles Eisner, Rachel Todd, Brian W. Noehren, Meredith K. Owen

Biomedical Engineering Faculty Publications

Center of pressure is a valuable biomechanical variable, predicting joint loading contributions during movement and giving insight into compensatory patterns. The purpose of this study was to assess the validity and reliability of force insoles in calculating vertical ground reaction force and center of pressure during return-to-sport jump testing. Ten healthy individuals performed double- and single-leg vertical and horizontal jumps on an instrumented treadmill while wearing instrumented force insoles. Vertical ground reaction force and anterior–posterior and medial–lateral center of pressure were collected at peak vertical ground reaction force from both devices. Repeat testing occurred 7 ± 5 days following the …

Non-Contact Optical Spectroscopy For Metabolic And Vascular Characterizations Of Orthotopic Tongue Cancer Models In Vivo, Md Zahid Hasan, Jing Yan, Sumit Sarker, Pranto Soumik Saha, Caigang Zhu

Biomedical Engineering Faculty Publications

Most tissue optical spectroscopy platforms use a fiber probe for light delivery and collection, while the inconsistent probe-sample contact could induce significant distortions in the measured optical signals, which consequently bring analysis errors. Moreover, it will be practically difficult to use a fiber probe for measurements in some cases such as oral cancer investigations using small animal models. To address the critical challenge, we report a portable, lens-based, optical spectroscopy device capable of quantifying key vascular and metabolic parameters in vivo without probe-sample contact. We combined lenses based diffuse reflectance and fluorescence spectroscopy into one portable platform to enable multi-parametric …

Combined Autofluorescence And Diffuse Reflectance Spectroscopy For Rapid Metabolic And Vascular Characterizations Of Orthotopic Tongue Tumors In Vivo, Pranto Soumik Saha, Jing Yan, Sumit Sarker, Zahid Hasan, Caigang Zhu

Biomedical Engineering Faculty Publications

Precise label-free quantification of tissue metabolic and vascular dynamics in vivo represents a critical challenge for cancer therapy prediction and longitudinal treatment assessment. In this study, we demonstrated a portable autofluorescence and diffuse reflectance spectroscopy device along with novel spectroscopic algorithms to quantify tissue vascular and metabolic parameters of orthotopic head and neck cancer models in vivo. Tissue-mimicking phantom studies were used to verify the dual-modal optical spectroscopy and easy-to-use spectroscopic algorithms for rapid and accurate estimation of tissue oxygen saturation, total hemoglobin contents, and intrinsic optical redox ratio. Animal studies were conducted to demonstrate the feasibility of our …

Noninvasive Diffuse Optical Monitoring Of Cerebral Blood Flow And Oxygenation Responses To Intermittent Hypoxia In Neonatal Rats, Pegah Safavi, Mehrana Mohtasebi, Chowdhury Azimul Haque, Faezeh Akbari, Xuhui Liu, Yiqi Yuan, Li Chen, Lei Chen, Guoqiang Yu

Biomedical Engineering Faculty Publications

Significance: Intermittent hypoxia (IH) is common in preterm neonates and can cause hypoxic–ischemic brain injury. Simultaneous monitoring of cerebral blood flow (CBF) and oxygenation is essential to detect oxygen delivery-extraction mismatches and guide intervention.

Aim: We aimed to adapt and test an innovative diffuse speckle contrast flow oximetry (DSCFO) system for continuous monitoring of cerebral hemodynamics during IH in neonatal rats, a model approximating human neonates.

Approach: Two compact laser diodes and a miniature CMOS camera were integrated into a fiber-free probe for continuous monitoring of changes in relative CBF (rCBF) and oxy- and deoxy-hemoglobin concentrations (Δ[HbO₂] and …

Comparative Evaluation Of R134a And Hfo‐1234ze Cryogen Spray Cooling Using A Mouse Model With Controllable Epidermal Pigmentation, Wangcun Jia, Yurie Jeong, Crystal Huynh, Oswald Lai, Emily Nguyen, Grant Swajian, Jade Niu, Ayana Kashikar, Joshua Khaw, Hong Pu, Bernard Choi, John August D'Orazio, J. Stuart Nelson, Bahman Anvari

Pediatrics Faculty Publications

Objectives: Cryogen spray cooling (CSC) is critical for protecting the epidermis during laser dermatologic procedures. The widely used cryogen, R134a, has a high global warming potential (GWP), motivating interest in environmentally favorable alternatives such as HFO-1234ze. This study evaluated whether HFO-1234ze provides epidermal protection comparable to R134a during laser exposure and investigated the mechanistic basis underlying any differences in cooling performance.

Methods: Laser-induced epidermal injury in conjunction with two cryogens was assessed in K14-SCF Mc1r^e/e mice with pharmacologically controllable interfollicular epidermal pigmentation. Laser treatment sites were assigned fluences relative to baseline skin lightness (L*) to span subthreshold …

Buzzes Over Burrows: Bats And Black-Tailed Prairie Dogs In Western Kansas, Patrick L. Geyer

Master's Theses or Doctor of Nursing Practice

The native grasslands of the Great Plains and the organisms that inhabit them are threatened by the anthropogenic disturbance of land-use change; prairie dogs (Genus Cynomys) are one such example. These mammals are considered ecosystem engineers due to their behaviors that physically modify the areas they inhabit, directly affecting the resources available to surrounding organisms. Much research exists on established or potential relationships between black-tailed prairie dogs (Cynomys ludovicianus) and other taxa; until recently, one taxon group absent from mentions of an association with black-tailed prairie dogs was bats (Order Chiroptera). Results of acoustic studies in eastern …

Simulation And Characterization Of Fuel Cell System Incorporated Internet Of Things, Ahmad N. Alhjouj

Mechanical Engineering Theses

Small air-cooled proton exchange membrane fuel cell (PEMFC) systems are increasingly relevant for portable and distributed applications, yet practical modeling and monitoring methods remain limited: high-fidelity physics-based models are too costly for real-time use, while purely data-driven models discard physical interpretability. This thesis develops an experimentally grounded gray-box framework for the characterization, reduced-order modeling, and IoT-enabled monitoring of a small hydrogen PEMFC system. A low-order nonlinear state-space model couples an electrochemical voltage layer to a lumped thermal layer, with parameters identified in stages using self-adaptive differential evolution. Identifiability analysis shows that static loss parameters are well constrained, while dynamic parameters …