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Articles 361 - 390 of 14121
Full-Text Articles in Physical Sciences and Mathematics
Mri Alzheimer’S Disease Prediction, Vikram Ayyawari
Mri Alzheimer’S Disease Prediction, Vikram Ayyawari
Masters Projects
Alzheimer’s Disease (AD) is a significant and growing global health issue, affecting millions of people around the world. Despite ongoing research, there is currently no cure or highly effective treatment for AD, making early detection essential to slowing its progression and alleviating its impact on patients and healthcare systems. This project explores the use of the "Augmented Alzheimer MRI Dataset V2," a specialized dataset developed to improve the precision and reliability of machine learning models for diagnosing and classifying different stages of AD from MRI scans. The dataset includes MRI images categorized into four classes representing different stages of cognitive …
Re: Comment Letter For Final Bpsou Insufficiently Reclaimed Sites Belle Of Butte (Bres No. 8 & Ur-39) Remedial Action Work Plan (Rawp) Request For Change Ir-2024-Ra-01 (Dated December 3, 2024), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Exploring The Accuracy Of Interferometric Quantum Measurements Under Conservation Laws, Nicolò Piccione, Maria Maffei, Andrew N. Jordan, Kater W. Murch, Alexia Auffèves
Exploring The Accuracy Of Interferometric Quantum Measurements Under Conservation Laws, Nicolò Piccione, Maria Maffei, Andrew N. Jordan, Kater W. Murch, Alexia Auffèves
Mathematics, Physics, and Computer Science Faculty Articles and Research
A (target) quantum system is often measured through observations performed on a second (meter) system to which the target is coupled. In the presence of global conservation laws holding on the joint meter-target system, the Wigner-Araki-Yanase theorem and its generalizations predict a lower bound on the measurement’s error (Ozawa’s bound). While practically negligible for macroscopic meters, it becomes relevant for microscopic ones. Here, we propose a simple interferometric setup, arguably within reach of present technology, in which a flying particle (a microscopic quantum meter) is used to measure a qubit by interacting with it in one arm of the interferometer. …
Real-Time Feedback-Driven Framework For Automated Cybersickness Mitigation, Md Jahirul Islam
Real-Time Feedback-Driven Framework For Automated Cybersickness Mitigation, Md Jahirul Islam
Master's Theses
As technologies are becoming more advanced day by day, the embracement of virtual reality (VR) technology among users is also increasing in daily activities for various purposes, and subsequently, the barrier between the real and virtual world is fading. Despite the versatile uses, cybersickness (CS) is a major problem which is induced among users due to the immersive VR experience. There is a plethora of research findings and methods to measure the users’ CS such as virtual reality sickness questionnaire (VRSQ), simulator sickness questionnaire (SSQ), fast motion scale questionnaire (FMS), and others. Recently, machine learning approaches have also been adopted …
Ge/Sige Quantum Wells: Material For The Post-Moore Era, Troy Alexander Hutchins-Delgado
Ge/Sige Quantum Wells: Material For The Post-Moore Era, Troy Alexander Hutchins-Delgado
Optical Science and Engineering ETDs
This dissertation demonstrates high-quality germanium quantum wells on a 200 mm silicon wafer platform, enabling novel device possibilities. Partnering with a commercial silicon-germanium epitaxy supplier, we obtained shallow, undoped germanium quantum wells with high-crystalline quality, confirmed through x-ray diffraction, secondary ion mass spectroscopy, high-resolution scanning transmission electron microscopy, and energy dispersive x-ray spectroscopy. Hall bar devices fabricated on single quantum wells revealed that surface preparation can tune transport properties while maintaining peak mobilities around 105 cm2V−1s−1. Manganese-germanide spintronic contacts were integrated via solid-state reaction, with contact quality assessed through Schottky diodes, transfer length …
Recovery Of Black Carbon Concentrations In Burned Forests In Wyoming, Usa, Monica Vanesa Zapata Villegas
Recovery Of Black Carbon Concentrations In Burned Forests In Wyoming, Usa, Monica Vanesa Zapata Villegas
Dissertations and Theses
Burned forests that remain standing following fire release light-absorbing particles (LAPs), including black carbon (BC), into winter snowpacks, reducing snow surface albedo and accelerating snowmelt timing for decades postfire. Although the role of LAPs in seasonal snow has been extensively studied, the spatiotemporal variability of LAPs' contributions to snowmelt relative to time-since-fire and burn severity remains unknown. This study aimed to quantify the spatiotemporal variability of forest fire effects on LAPs in snow and associated snow albedo in the Triple Divide region of western Wyoming, headwaters of the Colorado, Columbia, and Missouri rivers. Using geochemical analysis and radiative transfer modeling, …
Landslide Mapping, Characterization, And Hazard Assessment With 3d Slope Stability Modeling In White Bluffs, Washington State, Anna Tsitsivas
Landslide Mapping, Characterization, And Hazard Assessment With 3d Slope Stability Modeling In White Bluffs, Washington State, Anna Tsitsivas
Dissertations and Theses
Slope failures shape the landscape by moving unstable material downslope and, in doing so, become a great hazard to all those in their path. Understanding the mechanisms that control landslide location, timing, size, type, and runout - and therefore hazards - requires a deep understanding of the local geology, stratigraphy, and groundwater conditions. Along White Bluffs, in south-central Washington, landslides of several failure styles have likely been triggered by an increased water table in recent decades, threatening both farmland behind the bluffs and habitat below. This study focuses on characterizing potential groundwater sources and determining controls on spatial and temporal …
Exfoliated Hydrotalcite-Transition Metal Complex Composite For Eco-Friendly And Efficient Catalytic Degradation Of 4-Nitrophenol, Sidra Khan, Najma Memon, Saima Q. Memon, Yilmaz Yurekli
Exfoliated Hydrotalcite-Transition Metal Complex Composite For Eco-Friendly And Efficient Catalytic Degradation Of 4-Nitrophenol, Sidra Khan, Najma Memon, Saima Q. Memon, Yilmaz Yurekli
Karbala International Journal of Modern Science
Nitrophenols are notorious aquatic organic contaminants found as degradation products of various parent compounds, including pesticides and industrial chemicals that persist in the environment and must be removed. Catalytic degradation is one of the feasible routes to clean the contaminated water systems, however, environmental contamination with catalysts is also widespread. Herein, we report an environmentally friendly catalyst based on composited Fe-Schiff’s base with exfoliated layered double hydroxides (LDH) of aluminum and nickel (hydrotalcite). The composite showed agglomerated pleated LDH structures sheathed with Fe(III)SB. Nitrogen adsorption isotherm data exhibited improved surface area and narrow pores patterns for composite as compared to …
Optimal Algorithm For Managing On-Campus Student Transportation, Youssef Harrath, Jood Alyusuf, Zeena Ghulam, Muna Aldoseri
Optimal Algorithm For Managing On-Campus Student Transportation, Youssef Harrath, Jood Alyusuf, Zeena Ghulam, Muna Aldoseri
Research & Publications
This study analyzed the transportation issues at the University of Bahrain Sakhir campus, where a bus system with an unorganized and fixed number of buses allocated each semester was in place. Data was collected through a survey, onsite observations, and student schedules to estimate the number of buses needed. The study was limited to students who require to move between buildings for academic purposes and not those who choose to ride buses for other reasons. An algorithm was designed to calculate the optimal number of buses for each time slot, and for each day. This solution could improve transportation efficiency, …
The Complete Genome Sequence Of Splendidofilaria Pectoralis (Onchocercidae, Rhabditida, Chromadorea, Nematoda), Andrew Sweet, Robert E. Wilson, Jack Reakoff, Sarah A. Sonsthagen, Colleen Hurst, Stacy Pirro
The Complete Genome Sequence Of Splendidofilaria Pectoralis (Onchocercidae, Rhabditida, Chromadorea, Nematoda), Andrew Sweet, Robert E. Wilson, Jack Reakoff, Sarah A. Sonsthagen, Colleen Hurst, Stacy Pirro
School of Natural Resources: Faculty Publications
We present the complete genome sequence of Splendidofilaria pectoralis, a nematode parasite of grouse (Aves: Galliformes: Tetraonini). Illumina paired-end reads were assembled by a de novo method followed by a finishing step. The raw and assembled data are publicly available via GenBank: Sequence Read Archive (SRR28509439) and assembled genome (JBFSWT000000000).
Constructing And Testing Of Photomultiplier Tubes For Coincidence Experiments, Christepher Zamora
Constructing And Testing Of Photomultiplier Tubes For Coincidence Experiments, Christepher Zamora
Physics Capstone Projects
Muons are particles that can be created by the collision and decay of cosmic rays with the upper atmosphere. Many detectors have been manufactured to detect these particles. This paper describes how muons can be detected. It details the process of constructing and testing of scintillation photomultiplier tubes. This paper also details what was observed during the construction and what was done by the experimenter to correct perceived issues.
Advancing S2s Precipitation Outlooks Through The Weather Regime-Gaussian Mixture Model Framework, Wei Zhang
Advancing S2s Precipitation Outlooks Through The Weather Regime-Gaussian Mixture Model Framework, Wei Zhang
Funded Research Records
No abstract provided.
Enhancing Cybersecurity Strategies Through Automated Cti Extraction, Risk Prioritization, And Privacy-Conscious Information Sharing, Spencer Rian Massengale
Enhancing Cybersecurity Strategies Through Automated Cti Extraction, Risk Prioritization, And Privacy-Conscious Information Sharing, Spencer Rian Massengale
Theses and Dissertations
Cybersecurity operations require the ability to collect and analyze large amounts of cyber threat intelligence (CTI) to assess risks and formulate defensive strategies against emerging threats. This task has become increasingly complex due to the rapid evolution of cyber threats and the growing volume of unstructured, natural-language CTI sources. The scale of data and analysis needed to utilize CTI effectively far exceeds humans' manual capacity, especially for organizations with limited resources. This research focuses on leveraging Large Language Models (LLMs) and machine learning techniques to enhance CTI extraction, risk assessment, and data sharing. We utilized LLMs to automate the extraction …
New Insights Into Supradense Matter From Dissecting Scaled Stellar Structure Equations, Bao-Jun Cai, Bao-An Li
New Insights Into Supradense Matter From Dissecting Scaled Stellar Structure Equations, Bao-Jun Cai, Bao-An Li
Faculty Publications
The strong-field gravity in general relativity (GR) realized in neutron stars (NSs) renders the equation of state (EOS) P(ε) of supradense neutron star matter to be essentially nonlinear and refines the upper bound for ϕ≡P/ε to be much smaller than the special relativity (SR) requirement with linear EOSs, where P andεare respectively the pressure and energy density of the system considered. Specifically, a tight bound ϕ ≲ 0.374 is obtained by perturbatively anatomizing the intrinsic structures of the scaled Tolman–Oppenheimer–Volkoff (TOV) equations without using any input nuclear EOS. New insights gained from this novel analysis provide EOS-model-independent constraints on the …
How Does Augmentation Affect Feature Space: A Study Using Various Augmentation Methods In Distributed Learning, Nikil Sharan Prabahar Balasubramanian
How Does Augmentation Affect Feature Space: A Study Using Various Augmentation Methods In Distributed Learning, Nikil Sharan Prabahar Balasubramanian
Computer Science Theses
This thesis examines the impact of data augmentation techniques on model performance within a distributed learning framework, focusing on enhancing feature diversity and improving representation for under-represented classes. Data augmentation, commonly used to address data imbalance, significantly influences the feature space learned by deep learning models, with varied effects in distributed settings where data is split across nodes. Our study reveals that inconsistencies in feature learning across nodes reduce the benefits of local augmentation in capturing complex patterns, leading to suboptimal model performance. To address this, we propose a coherent augmentation approach that embeds consistent transformations in the central server, …
The Utilization Of Alcohol Dehydrogenase (Adh) Enzymes In Stereocontrolled Synthesis, Gaurav Pramod Kudalkar
The Utilization Of Alcohol Dehydrogenase (Adh) Enzymes In Stereocontrolled Synthesis, Gaurav Pramod Kudalkar
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Clostridium acetobutylicum alcohol dehydrogenase (CaADH) has been shown to catalyze the stereoselective reduction of a broad array of carbonyl compounds. This study uses a Hammett linear free-energy relationship (LFER) analysis to gain insight into CaADH enzyme mechanism across three substrate classes: aryl aldehydes, aryl β-keto esters, and aryl trifluoromethyl ketones. Kinetic data were collected by monitoring NADPH fluorescence, and Michaelis-Menten kinetics were applied. Hammett plots reveal that hydride transfer is rate-limiting for aldehydes and β-keto esters (ρ > 0), while it is proposed that dehydration is rate-limiting for trifluoromethyl ketones (ρ < 0). 13C NMR confirmed significant hydration in trifluoromethyl ketones. The …
Raman Characterization Of Elastomeric Materials, Shane Michael Drake
Raman Characterization Of Elastomeric Materials, Shane Michael Drake
Theses and Dissertations
Raman spectroscopy is often used for material identification but may be used for characterization. This document focuses on using Raman measurements to characterize polymers, specifically the curing and aging mechanism for hydroxyl-terminated polybutadiene (HTPB). HTPB is a well-known elastomer used in sealants, non-slip surfaces, rocket repellants and plastic explosives. Raman spectroscopy was used to monitor urethane linkages that form from curing HTPB with a cyanate curing agent to suggest a curing mechanism for HTPB. Since this polymer is highly susceptible to oxidation, the methods used to characterize curing were also used for the aging process to see if urethane breakages …
Bioremediation Of Pb And Cd Contaminated Soil By Mycorrhiza And Biochar Treatment And Its Effect On Growth And Yield Of Shallot, Okti Herliana, Wilis Cahyani, Yugi Rahayu Ahadiyat
Bioremediation Of Pb And Cd Contaminated Soil By Mycorrhiza And Biochar Treatment And Its Effect On Growth And Yield Of Shallot, Okti Herliana, Wilis Cahyani, Yugi Rahayu Ahadiyat
Jurnal Kultivasi
The contamination of shallots in the food chain by heavy metals such as lead (Pb) and cadmium (Cd) is caused by chemical fertilizers and pesticides. The study aimed to determine the growth and yields of shallot cultivated on soil contaminated with Pb and Cd using mycorrhiza and biochar. The study was conducted in the screen house at Jenderal Soedirman University, Faculty of Agriculture, from April to September 2020, and it was carried out using a factorial Randomized Completely Block Design that involved three replications and two factors. The first factor of mycorrhiza dosage comprised 0, 1, and 2 g/pot, and …
Bioremediation Of Pb And Cd Contaminated Soil By Mycorrhiza And Biochar Treatment And Its Effect On Growth And Yield Of Shallot, Okti Herliana, Wilis Cahyani, Yugi Rahayu Ahadiyat
Bioremediation Of Pb And Cd Contaminated Soil By Mycorrhiza And Biochar Treatment And Its Effect On Growth And Yield Of Shallot, Okti Herliana, Wilis Cahyani, Yugi Rahayu Ahadiyat
Jurnal Kultivasi
The contamination of shallots in the food chain by heavy metals such as lead (Pb) and cadmium (Cd) is caused by chemical fertilizers and pesticides. The study aimed to determine the growth and yields of shallot cultivated on soil contaminated with Pb and Cd using mycorrhiza and biochar. The study was conducted in the screen house at Jenderal Soedirman University, Faculty of Agriculture, from April to September 2020, and it was carried out using a factorial Randomized Completely Block Design that involved three replications and two factors. The first factor of mycorrhiza dosage comprised 0, 1, and 2 g/pot, and …
Shifting Frontiers: Understanding Species’ Abundance Range Shifts For Informed Conservation Strategies, T.J. Clark-Wolf
Shifting Frontiers: Understanding Species’ Abundance Range Shifts For Informed Conservation Strategies, T.J. Clark-Wolf
Funded Research Records
No abstract provided.
Growth And Yield Of Bok Choy (Brassica Rapa L.) Plants In Post-Rock Excavation Soils Provided With Phosphate-Solubilizing Bacteria And Manure, Cecep Hidayat, Yati Setiati Rachmawati, Dhea Rizqi Utami, Sofiya Hasani, Anna Aina Roosda, Windhy Chandria
Growth And Yield Of Bok Choy (Brassica Rapa L.) Plants In Post-Rock Excavation Soils Provided With Phosphate-Solubilizing Bacteria And Manure, Cecep Hidayat, Yati Setiati Rachmawati, Dhea Rizqi Utami, Sofiya Hasani, Anna Aina Roosda, Windhy Chandria
Jurnal Kultivasi
Elevated sand and gravel mining to meet market needs causes negative impacts on the environment, soil, and biodiversity. The government issued a regulation that requires revegetation as reclamation of mineral and coal mining. The conversion needs to overcome the physical and chemical characteristics of post-rock excavation soil that can be utilized by economic value plants such as bok choy. This experiment aimed to determine the growth and yield of bok choy on post-rock excavation soil by providing phosphate solubilizing bacteria (PSB) and various manure types. The study was conducted in Margasari Village, Buah Batu District, Bandung at an altitude of …
Identification And Profiling Of Socioeconomic And Health Characteristics Associated With Consumer Food Purchasing Behaviours Using Machine Learning, Daniel Burke, Martin Boudou, Jennifer Mccarthy, Majid Bahramian, Courage Krah, Christina Kenny, Paul Hynds, Anushree Priyadarshini
Identification And Profiling Of Socioeconomic And Health Characteristics Associated With Consumer Food Purchasing Behaviours Using Machine Learning, Daniel Burke, Martin Boudou, Jennifer Mccarthy, Majid Bahramian, Courage Krah, Christina Kenny, Paul Hynds, Anushree Priyadarshini
Articles
Food systems and food-related policies influence food consumption, dietary patterns, and human and environmental health. Consumers play a vital role in enhancing health and sustainability through their purchasing choices. To identify and cluster food purchasing behaviours and map relationships, a cross-sectional survey was conducted across Ireland with a sample size of 957 adults. Two-step cluster analysis, generalised linear models, and recursive partitioning and regression trees were used to elucidate adherence to identified food purchasing behavioural clusters. Three clusters (‘food quality’, ‘taste’, and ‘price’) were identified based on food purchasing priorities and statistically categorised. ‘Food quality’ members were significantly less likely …
Butte Priority Soils Operable Unit (Bpsou) Draft Final 2022 Insufficiently Reclaimed Sites Sampling Bres No. 32 – Corra 2 Dump Site Evaluation Summary Report, Mike Mcanulty
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Bayesian Estimation Of A Pragmatic Model For Monetary Policy Analysis: The Case Of Pakistan, Shahzad Ahmad, Waliullah .
Bayesian Estimation Of A Pragmatic Model For Monetary Policy Analysis: The Case Of Pakistan, Shahzad Ahmad, Waliullah .
CBER Conference
In this study, Bayesian maximum likelihood estimation of quarterly projections model for Pakistan as presented, as documented in Ahmad & Pasha (2015). Estimation results based on quarterly data from 2001 to 2023 show substantial differences in values of estimated versus calibrated parameters related to aggregate demand, aggregate supply, monetary policy rule and exogenous shock processes. The aim of this study is to compare forecasting performance for key macro variables. It shows that the estimated model provides more precise forecasts in case of headline inflation, real GDP growth, interest rate and exchange rate over 8-quarters forecast horizon. An estimated model for …
Monetary Policy In Good Times And In Bad: Empirical Evidence From Pakistan, Haider Ali
Monetary Policy In Good Times And In Bad: Empirical Evidence From Pakistan, Haider Ali
CBER Conference
A significant body of literature explores and establishes the impact of monetary policy on output and prices, at least in the short run. However, the subsequent question is whether this effect is symmetric concerning the various states of the economy (see, Tenreyro and Thwaites, 2016; Bernstein, 2021; Eichenbaum et al., 2022; among others). This study contributes to the literature on state-dependent (non-linear) effects of unanticipated monetary policy shocks according to two important features of the economy. The amount of slack in the economy and the amount of the public-sector footprint in the market. Evaluating state-dependent effects is crucial because assuming …
Unlocking The Power Of Data: Enhancing Public Policy Through Advanced Data Infrastructure And Language Model Analysis, Zahid Asghar
Unlocking The Power Of Data: Enhancing Public Policy Through Advanced Data Infrastructure And Language Model Analysis, Zahid Asghar
CBER Conference
Data is the fundamental building block for advancements in artificial intelligence (AI), general AI (GAI), machine learning (ML), and large language models (LLMs). This study emphasizes the critical need for robust data infrastructure, arguing that without it, countries cannot fully benefit from technological advancements in various economic sectors. Governments possess vast repositories of both structured and unstructured data across multiple domains such as the judiciary, parliaments, and civil bureaucracy. However, these potential goldmines remain untapped due to inadequate data management capabilities and a lack of appreciation for the necessity of high-quality data. The research identifies key issues in public data …
The Energy Efficiency Price Premium Of Residential Buildings In Three Italian Regions, Elena Giarda, Demetrio Panarello
The Energy Efficiency Price Premium Of Residential Buildings In Three Italian Regions, Elena Giarda, Demetrio Panarello
CBER Conference
The aim of this paper is to investigate whether a higher energy efficiency of residential buildings translates into higher house prices in Italy. We employ novel, and almost unexploited, data on Energy Performance Certificates of three Italian regions (EmiliaRomagna, Lombardy and Piedmont) and merge them with house prices and socioeconomic variables at various aggregation levels. The relationship between house prices and energy efficiency is estimated by means of hedonic regression models, quantile regressions and fixed effects panel data models. Our results reveal the existence of an energy-efficiency price premium in the three regions, with significant differences among them. Heterogeneity is …
Virtual Water Trade: Theory And An Empirical Application, Sultan Sat, Harun Uçak
Virtual Water Trade: Theory And An Empirical Application, Sultan Sat, Harun Uçak
CBER Conference
Throughout human history, water has been a determining factor in all human actions. In fact, it is seen that the oldest civilizations were established near rivers. There have been mutual effects between civilizations and water, and lifestyles have changed due to these effects. Today, access to usable water is becoming increasingly difficult. The water problem that arises due to some qualitative and quantitative negativities in a country is spreading to other countries with a butterfly effect under the influence of increasing globalization. This situation removes the water problem from being a local problem and turns it into a global problem. …
Does Tourists’ Perception Of Social Responsibility Awareness Shape Tourists’ Environmental Behavior: A Case Study In A High Mountain Region, Amjad Ali
CBER Conference
Tourism has emerged as a crucial source of livelihood for high mountain communities in Pakistan, leading to a notable increase in tourist influx over the past few years (Ali and Shedayi, 2023). This growth has created numerous income-generating opportunities for local communities, particularly in the hotel and transport sectors, offering substantial employment to the local population. However, tourism has significant adverse environmental impacts on destinations, especially fragile mountain areas (Ali, 2021). Irresponsible tourist behavior exacerbates these adverse effects (Juvan & Dolnicar, 2017; Lee et al., 2013). Therefore, understanding tourist behavior is crucial for effective destination management and policymaking. Developing and …
Snap Recipients' Labor Supply In The Presence Of Children In Households, Sanae Tashiro, Jongsung Kim
Snap Recipients' Labor Supply In The Presence Of Children In Households, Sanae Tashiro, Jongsung Kim
Mathematics and Economics Faculty Journal Articles
No abstract provided.