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Articles 1 - 30 of 1782
Full-Text Articles in Physical Sciences and Mathematics
Ai-Based Investigation And Mitigation Of Rain Effect On Channel Performance With Aid Of A Novel 3d Slot Array Antenna Design For High Throughput Satellite System, Ali M. Al-Saegh, Fatma Taher, Taha A. (International Applied And Theoretical Research Center Elwi, , Baghdad Quarter, Iraq , Baghdad Quarter, Iraq, Mohammad Alibakhshikenari, Bal S. Virdee, Osama Abdullah, Salahuddin Khan, Patrizia Livreri, Abdulmajeed Al-Jumaily, Mohamed Fathy Abo Sree, Arkan Mousa Majeed, Lida Kouhalvandi, Zaid A. Abdul Hassain, Giovanni Pau
Ai-Based Investigation And Mitigation Of Rain Effect On Channel Performance With Aid Of A Novel 3d Slot Array Antenna Design For High Throughput Satellite System, Ali M. Al-Saegh, Fatma Taher, Taha A. (International Applied And Theoretical Research Center Elwi, , Baghdad Quarter, Iraq , Baghdad Quarter, Iraq, Mohammad Alibakhshikenari, Bal S. Virdee, Osama Abdullah, Salahuddin Khan, Patrizia Livreri, Abdulmajeed Al-Jumaily, Mohamed Fathy Abo Sree, Arkan Mousa Majeed, Lida Kouhalvandi, Zaid A. Abdul Hassain, Giovanni Pau
All Works
Rain attenuation poses a significant challenge for high-throughput communication systems. In response, this paper introduces an artificial intelligence (AI) model designed for predicting and mitigating rain-induced impairments in high-throughput satellite (HTS) to land channels. The model is based on three AI algorithms developed using 3D antenna design to characterize, analyze, and mitigate rain-induced attenuation, optimizing channel quality specifically in the United Arab Emirates (UAE). The study evaluates various parameters, including rain-specific attenuation, effective slant path through rain, rain-induced attenuation, signal carrier-to-noise ratio, and symbol error rate, for five conventional modulation schemes: Quadrature Phase-Shift Keying (QPSK), 8-Phase Shift Keying (8-PSK), 16-Quadrature …
Data For: Channel Response To Flow Augmentation: Diamond Fork River, Ut Dataset, Diane Wagner, Peter Wilcock
Data For: Channel Response To Flow Augmentation: Diamond Fork River, Ut Dataset, Diane Wagner, Peter Wilcock
Browse all Datasets
A river's physical features and channel dimensions are determined by the water and sediment supplied to it. The Diamond Fork River, located in central Utah–received large trans-basin diversion flows from 1915-2003, providing an exceptional opportunity to explore the response of a river to a large increase in flow.
Our project goals were to describe 1) channel response to this large and long artificial flow augmentation and 2) how the channel recovered after the removal of the diversion flows. The objective of this thesis is to document the channel condition throughout the 20th century to present day as a basis for …
Historical Ozone Isopleths For Salt Lake Valley, Ut, Usa, Callum Flowerday, Isaac Sudweeks, Brad Adams, Jaron C. Hansen
Historical Ozone Isopleths For Salt Lake Valley, Ut, Usa, Callum Flowerday, Isaac Sudweeks, Brad Adams, Jaron C. Hansen
ScholarsArchive Data
EPA quality assured data, collected by the Utah Division of Air Quality, was used for this analysis.
Historical Analysis Of Urban Dust Generated By The Great Salt Lake Playa, Callum Flowerday, Jaron C. Hansen, Rebekah Stanley, Kaitlyn Brewster
Historical Analysis Of Urban Dust Generated By The Great Salt Lake Playa, Callum Flowerday, Jaron C. Hansen, Rebekah Stanley, Kaitlyn Brewster
ScholarsArchive Data
Historical PM10 filters, provided by the Utah Division of Air Quality, were analyzed for elemental composition of various metals. This was done using ICP-MS.
Also included, EPA PM10 historical data and bathymetry data provided by the Utah USGS.
Blood Cell Image Segmentation And Classification: A Systematic Review, Muhammad Shahzad, Farman Ali, Syed Hamad Shirazi, Assad Rasheed, Awais Ahmad, Babar Shah, Daehan Kwak
Blood Cell Image Segmentation And Classification: A Systematic Review, Muhammad Shahzad, Farman Ali, Syed Hamad Shirazi, Assad Rasheed, Awais Ahmad, Babar Shah, Daehan Kwak
All Works
Background Blood diseases such as leukemia, anemia, lymphoma, and thalassemia are hematological disorders that relate to abnormalities in the morphology and concentration of blood elements, specifically white blood cells (WBC) and red blood cells (RBC). Accurate and efficient diagnosis of these conditions significantly depends on the expertise of hematologists and pathologists. To assist the pathologist in the diagnostic process, there has been growing interest in utilizing computer-aided diagnostic (CAD) techniques, particularly those using medical image processing and machine learning algorithms. Previous surveys in this domain have been narrowly focused, often only addressing specific areas like segmentation or classification but lacking …
Southern Maine, New Hampshire, And Northern Massachusetts Continental Shelf Geophysical Database: 2022 Field Campaign – Grain Size Data, Station Summaries, And Seafloor Photographs, Larry G. Ward, Rachel C. Morrison, Michael Bogonko
Southern Maine, New Hampshire, And Northern Massachusetts Continental Shelf Geophysical Database: 2022 Field Campaign – Grain Size Data, Station Summaries, And Seafloor Photographs, Larry G. Ward, Rachel C. Morrison, Michael Bogonko
Data Catalog
Presented in this data report are the geophysical data collected during a major field campaign in 2022, with the purpose of obtaining ground truth for the expansion and improvement of high-resolution surficial geology maps of the western Gulf of Maine (WGOM) and for the description of reference sites developed for future evaluations of acoustic systems (Ward et al., 2021a; 2021b). Data from the UNH Ocean Engineering 972 Hydrographic Field Course classes in 2021 and 2022 are also included. This expansion of the geophysical database is being used to verify seafloor classifications in previously mapped areas that lack sufficient data, and …
Developing A Success Model Of A Social Student Relationship Management System, Wasef Mater, Monther Aldwairi, Nasim Matar, Waleed Al-Rahmi
Developing A Success Model Of A Social Student Relationship Management System, Wasef Mater, Monther Aldwairi, Nasim Matar, Waleed Al-Rahmi
All Works
Social media's significance in higher education has increased due to its capacity to enhance participation, communication, teamwork, and information sharing. Important notifications, updates, and reminders can be promptly received by all members of the university community, assuring that information is shared with everyone. The objective of this study is to develop a model for a Customer Relationship Management (CRM) system in higher education that is based on social media and intends to increase student satisfaction, loyalty, and profitability. It blends the idea of trust with Delone Mclean success model. Partial Least Squares-Structural Equation Modeling (PLS-SEM) was used to evaluate the …
Inventory Of Western United States Glaciers- 2020, Shrinidhi Ambinakudige, Bernard Abubakari
Inventory Of Western United States Glaciers- 2020, Shrinidhi Ambinakudige, Bernard Abubakari
College of Arts and Sciences Publications and Scholarship
The dataset employed for delineating glacier boundaries in the Western United States comprises a compilation of original Sentinel-2 images obtained from the European Space Agency's Copernicus website. These images were instrumental in generating the glacier inventory. Additionally, the dataset includes a Python and R script specifically crafted for processing and classifying Sentinel images. The outcome of this process is represented in an ESRI shapefile, which contains an inventory of glaciers extracted from Sentinel images.
Easy, Bright, Fluorescence Demonstration Of Buffer Action, Mariana Dykstra, Yejin Chung, Mark Muyskens
Easy, Bright, Fluorescence Demonstration Of Buffer Action, Mariana Dykstra, Yejin Chung, Mark Muyskens
University Faculty Publications and Creative Works
We report an attractive update to the demonstration of acid–base buffer action that is appropriate for ease of use and getting attention in the classroom. The twist is based on new fluorophore information and the recent availability of UV flashlights serving as an ideal, portable excitation light source. The pH-dependent fluorescence comes from a choice among three natural sources, namely narra tree wood extract, kidneywood extract, and scopoletin, which is a purchasable coumarin, that all perform equally well. We provide practical details for performing the buffer demonstration at scales of 100 and 1000 mL and give background information for context.
Source Data For "Flowering Of Developable 2d Crystal Shapes In Closed, Fluid Membranes", Hao Wan, Geunwoong Jeon, Weiyue Xin, Gregory M. Grason, Maria M. Santore
Source Data For "Flowering Of Developable 2d Crystal Shapes In Closed, Fluid Membranes", Hao Wan, Geunwoong Jeon, Weiyue Xin, Gregory M. Grason, Maria M. Santore
Data and Datasets
Source data for "Flowering of Developable 2D Crystal Shapes in Closed, Fluid Membranes".
Data For "Density Constrains Environmental Impacts Of Fluid Abstraction In Continental Lithium Brines", Daniel B. Corkran, David F. Boutt, Lee Ann Munk, Brendan J. Moran, Sarah Mcknight, Jordan Jenckes, Alexander Kirshen
Data For "Density Constrains Environmental Impacts Of Fluid Abstraction In Continental Lithium Brines", Daniel B. Corkran, David F. Boutt, Lee Ann Munk, Brendan J. Moran, Sarah Mcknight, Jordan Jenckes, Alexander Kirshen
Data and Datasets
This dataset contains all data used in the study "Density constrains environmental impacts of fluid abstraction in continental lithium brines." Data include all SEAWAT groundwater-flow model input and output files, which contain all data associated with the parametric modeling study. It also contains NDVI and total annual precipitation datasets used in the study's remote sensing analysis.
Lake Water Chemistry And Local Adaptation Shape Nacl Toxicity In Daphnia Ambigua, Mary Alta Rogalski, Elizabeth S. Baker, Clara M. Benadon
Lake Water Chemistry And Local Adaptation Shape Nacl Toxicity In Daphnia Ambigua, Mary Alta Rogalski, Elizabeth S. Baker, Clara M. Benadon
Biology Faculty Publications
Increasing application of road deicing agents (e.g., NaCl) has caused widespread salinization of freshwater environments. Chronic exposure to toxic NaCl levels can impact freshwater biota at genome to ecosystem scales, yet the degree of harm caused by road salt pollution is likely to vary among habitats and populations. The background ion chemistry of freshwater environments may strongly impact NaCl toxicity, with greater harm occurring in ion-poor, soft water conditions. In addition, populations exposed to salinization may evolve increased NaCl tolerance. Notably, if organisms are adapted to their natal lake water chemistry, toxicity responses may also vary among populations in a …
Analysis Of Sir Model With Optimal Control Strategy For A Simple Traffic Congestion Process, Ratna Herdiana, Zani Anjani Rafsanjani, R. Heru Tjahjana, Yogi Ahmad Erlangga, Moch Fandi Ansori
Analysis Of Sir Model With Optimal Control Strategy For A Simple Traffic Congestion Process, Ratna Herdiana, Zani Anjani Rafsanjani, R. Heru Tjahjana, Yogi Ahmad Erlangga, Moch Fandi Ansori
All Works
Traffic analysis on highways at the macroscopic level is very similar to the analysis of the spread of infectious diseases, namely the susceptible-infected-recover (SIR) model. We propose the SIR model with a control variable. The dynamics with fixed control and stability of the model are analyzed. Sensitivity analysis was also carried out. Variable control is applied as an effort to regulate or change the duration of the green light at an intersection. We obtain an optimal control strategy when the control is time-dependent. Numerical results show the positive impacts of implementing the control to susceptible vehicles and treatment for congested …
Advancing The Understanding Of Clinical Sepsis Using Gene Expression–Driven Machine Learning To Improve Patient Outcomes, Asrar Rashid, Feras Al-Obeidat, Wael Hafez, Govind Benakatti, Rayaz A. Malik, Christos Koutentis, Javed Sharief, Joe Brierley, Nasir Quraishi, Zainab A. Malik, Arif Anwary, Hoda Alkhzaimi, Syed Ahmed Zaki, Praveen Khilnani, Raziya Kadwa, Rajesh Phatak, Maike Schumacher, M. Guftar Shaikh, Ahmed Al-Dubai, Amir Hussain
Advancing The Understanding Of Clinical Sepsis Using Gene Expression–Driven Machine Learning To Improve Patient Outcomes, Asrar Rashid, Feras Al-Obeidat, Wael Hafez, Govind Benakatti, Rayaz A. Malik, Christos Koutentis, Javed Sharief, Joe Brierley, Nasir Quraishi, Zainab A. Malik, Arif Anwary, Hoda Alkhzaimi, Syed Ahmed Zaki, Praveen Khilnani, Raziya Kadwa, Rajesh Phatak, Maike Schumacher, M. Guftar Shaikh, Ahmed Al-Dubai, Amir Hussain
All Works
Sepsis remains a major challenge that necessitates improved approaches to enhance patient outcomes. This study explored the potential of machine learning (ML) techniques to bridge the gap between clinical data and gene expression information to better predict and understand sepsis. We discuss the application of ML algorithms, including neural networks, deep learning, and ensemble methods, to address key evidence gaps and overcome the challenges in sepsis research. The lack of a clear definition of sepsis is highlighted as a major hurdle, but ML models offer a workaround by focusing on endpoint prediction. We emphasize the significance of gene transcript information …
199965, David Kerstetter
199965, David Kerstetter
PERC Albacore sPAT Data
Datasets (and supporting material) from 4sPAT electronic tags deployed on albacore caught by pelagic longline gear in the western North Atlantic.
199953, David Kerstetter
199953, David Kerstetter
PERC Albacore sPAT Data
Datasets (and supporting material) from 4sPAT electronic tags deployed on albacore caught by pelagic longline gear in the western North Atlantic.
199949, David Kerstetter
199949, David Kerstetter
PERC Albacore sPAT Data
Datasets (and supporting material) from 4sPAT electronic tags deployed on albacore caught by pelagic longline gear in the western North Atlantic.
199946, David W. Kerstetter
199946, David W. Kerstetter
PERC Albacore sPAT Data
Datasets (and supporting material) from 4sPAT electronic tags deployed on albacore caught by pelagic longline gear in the western North Atlantic.
Data In 'Development At The University Of North Dakota Of A Digital Thermosonde Instrument For The Study Of Atmospheric Optical Turbulence (C_N^2)', Blake T. Sorenson, David J. Delene
Data In 'Development At The University Of North Dakota Of A Digital Thermosonde Instrument For The Study Of Atmospheric Optical Turbulence (C_N^2)', Blake T. Sorenson, David J. Delene
Datasets
A thermosonde, an instrument that measures very high resolution temperature difference between two fine-wire platinum thermocouples, was attached to a weather balloon and lifted through the atmosphere, collecting observations of optical turbulence, in the spring of 2018 and 2019. The thermosonde collected raw temperature difference measurements, while an onboard Graw DFM-09 radiosonde observed standard meteorological parameters (temperature, air pressure, wind speed, wind direction, relative humidity, and altitude). The Graw meteorological observations are housed in the .txt files, while the raw radiosonde data (containing the raw, encoded thermosonde measurements) are housed in the .gsf files. The decoded voltage and temperature difference …
What’S In A Word? A Study Of Emotional Valence, Trisha Patel, Cameron Smith, Olivia Williams, Raul Rodriguez-Calva
What’S In A Word? A Study Of Emotional Valence, Trisha Patel, Cameron Smith, Olivia Williams, Raul Rodriguez-Calva
Science University Research Symposium (SURS)
Cognitive stress affects humans mentally and physically, and specifically may impact emotional recognition. Previous studies have focused on the perceived emotional valence of nouns vs. adjectives and the emotional recognition of photographs. While this has led to the creation of an emotional valence database, there has yet to be a study to explore how stress can change perceived emotional valence. Using data from the Affective Norms for English Words (ANEW), the Portland Arithmetic Stress Test (PAST), and the Montreal Imaging Stress Task (MIST), a study was created to explore how participants emotional valence of words would change after being placed …
Probiotic Intervention Does Not Affect Recovery Of Hippocampal Memory Following Disruption From High-Fat Diets In Adult Female Rats, Trisha Patel, Cameron Smith
Probiotic Intervention Does Not Affect Recovery Of Hippocampal Memory Following Disruption From High-Fat Diets In Adult Female Rats, Trisha Patel, Cameron Smith
Science University Research Symposium (SURS)
High-fat diets are prevalent in the United States and other countries, contributing to potential health concerns. Previous research has shown that foods with high-fat levels can lead to deficits in spatial memory and alter the hippocampus, a brain area important for spatial learning and memory. Research has also shown that memory deficits can be improved and sometimes restored by increasing the levels of probiotic intake while consuming a high-fat diet. In a previous experiment, adult female rats were fed a high-fat diet and showed spatial memory impairments. The rats were then reverted back to a control, low-fat diet and split …
Data From: Climate Change-Driven Cumulative Mountain Pine Beetle-Caused Whitebark Pine Mortality In The Greater Yellowstone Ecosystem, William W. Macfarlane
Data From: Climate Change-Driven Cumulative Mountain Pine Beetle-Caused Whitebark Pine Mortality In The Greater Yellowstone Ecosystem, William W. Macfarlane
Browse all Datasets
In 2018-2019 the Landscape Assessment System (LAS), an aerial survey method was used to assess mountain pine beetle (Dendroctonus ponderosae; MPB) - caused mortality of whitebark pine (Pinus albicaulis) across the Greater Yellowstone Ecosystem (59000 km2; GYE). This consisted of 11,942 km of flightlines, along which 4,434 geo-tagged, oblique aerial photos were captured and processed. A mortality rating of none to severe (0 to 4 nt attack or 5.0 5.4 old attack) was assigned to each photo based on the amount of red (recent attack) and gray (old attack) trees visible. The method produced a photo inventory of 74 percent …
Data From: Root Distributions Predict Shrub-Steppe Responses To Precipitation Intensity, Andrew Kulmatiski, Karen H. Beard
Data From: Root Distributions Predict Shrub-Steppe Responses To Precipitation Intensity, Andrew Kulmatiski, Karen H. Beard
Browse all Datasets
Precipitation events are becoming more intense around the world, changing the way water moves through soils and plants. Plant rooting strategies that sustain water uptake under these conditions are likely to become more abundant (e.g., shrub encroachment). Yet, it remains difficult to predict species responses to climate change because we typically do not know where active roots are located or how much water they absorb. Here, we applied a water tracer experiment to describe forb, grass, and shrub root distributions. These measurements were made in 8 m by 8 m field shelters with low or high precipitation intensity. We used …
Impact Of Climate Change On Surgery: A Scoping Review To Define Existing Knowledge And Identify Gaps, Tina Bharani, Rebecca Achey, Harris Jamal, Alexis Cherry, Malcolm K. Robinson, Guy J. Maddern, Deirdre K. Tobias, Divyansh Agarwal
Impact Of Climate Change On Surgery: A Scoping Review To Define Existing Knowledge And Identify Gaps, Tina Bharani, Rebecca Achey, Harris Jamal, Alexis Cherry, Malcolm K. Robinson, Guy J. Maddern, Deirdre K. Tobias, Divyansh Agarwal
Department of Surgery Faculty Papers
With climate change accelerated at a worrisome rate, global warming also will have implications for surgery and surgical practice. The goal of this current study was to systematically survey the literature and better understand how climate change has affected surgical disease burden, surgical care delivery, and surgical outcomes. We performed a comprehensive scoping review, screening 3334 unique citations from three databases – 1766 from Embase, 1329 from Pubmed and 239 from Scopus – to identify studies that had associated climate change with surgery. After systematic searching, quality appraisal, and data extraction, we synthesized findings from qualitative and quantitative studies. Twenty-six …
Long-Acting Cabotegravir And The Emergence Of Drug-Resistant Hiv, Katharine Gurski
Long-Acting Cabotegravir And The Emergence Of Drug-Resistant Hiv, Katharine Gurski
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Environmental, Ecological, And Epidemiological Applications: Introduction To Mathematical Modeling, Suzanne Sumner
Environmental, Ecological, And Epidemiological Applications: Introduction To Mathematical Modeling, Suzanne Sumner
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Optimal Harvest Control Within A Predator-Prey System: A Case Study In Chesapeake Bay Fishes, Iordanka Panayotova
Optimal Harvest Control Within A Predator-Prey System: A Case Study In Chesapeake Bay Fishes, Iordanka Panayotova
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Msis-Glenn: Natural Selection In Wolves Leads To Domesticated Dogs Predicted By Agent-Based Model Simulations, Alex Capaldi, David C. Elzinga
Msis-Glenn: Natural Selection In Wolves Leads To Domesticated Dogs Predicted By Agent-Based Model Simulations, Alex Capaldi, David C. Elzinga
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Compartmental Modeling For The Neophyte: An Application Of Berkeley-Madonna, Olcay Akman, Siddharth Bhumpelli, Cody Cline, Christopher Hay-Jahans
Compartmental Modeling For The Neophyte: An Application Of Berkeley-Madonna, Olcay Akman, Siddharth Bhumpelli, Cody Cline, Christopher Hay-Jahans
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Kentucky Karst Dye Trace Database, Sarah M. Arpin, Benjamin W. Tobin, Maaz Fareedi, Adam Link, James C. Currens
Kentucky Karst Dye Trace Database, Sarah M. Arpin, Benjamin W. Tobin, Maaz Fareedi, Adam Link, James C. Currens
Research Data--KGS
This dataset provides the geographical locations of karst groundwater basins, groundwater flowpaths, and dye injection/recovery points in Kentucky. Dye tracing is a common method used for understanding groundwater movement. Dye is poured (or injected) into a sinking stream, well, sinkhole, or body of water, where it is carried down-gradient by flowing water. The locations at which dye is recovered (typically at artesian springs) indicates a connection from injection to recovery site. This connection is refered to as a groundwater flowpath. Conducting multiple dye traces across an area allows for the interpretation of regional groundwater flow by assessing where flowpaths either …