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Articles 53761 - 53790 of 302610
Full-Text Articles in Physical Sciences and Mathematics
Recognising Local Innovation In The Framework Of Range Co‐Management On The Tibetan Plateau, Ann Waters‐Bayer, Zhaoli Yan
Recognising Local Innovation In The Framework Of Range Co‐Management On The Tibetan Plateau, Ann Waters‐Bayer, Zhaoli Yan
IGC Proceedings (1993-2023)
No abstract provided.
The Theory And Practice Study Of Settled Pastoralists In Xinjiang: Contrast Analysis The Different Production Method And Herdsman's Income, Tursunay Reyim, Shazhou An, Yongli Gang, Yimamu Aibibula, Peng Xu
The Theory And Practice Study Of Settled Pastoralists In Xinjiang: Contrast Analysis The Different Production Method And Herdsman's Income, Tursunay Reyim, Shazhou An, Yongli Gang, Yimamu Aibibula, Peng Xu
IGC Proceedings (1993-2023)
No abstract provided.
Integration Of On‐Station And Farmer Participatory Evaluation Of Multipurpose Legumes — A Case From Cauca, Colombia, Michael Peters, Rainer Schultze-Kraft, N. Vivas, L. A. Hernández, M. C. Tabares, K. Zöfel
Integration Of On‐Station And Farmer Participatory Evaluation Of Multipurpose Legumes — A Case From Cauca, Colombia, Michael Peters, Rainer Schultze-Kraft, N. Vivas, L. A. Hernández, M. C. Tabares, K. Zöfel
IGC Proceedings (1993-2023)
No abstract provided.
Panoramic Learning With A Standardized Machine Learning Formalism, Zhiting Hu, Eric P. Xing
Panoramic Learning With A Standardized Machine Learning Formalism, Zhiting Hu, Eric P. Xing
Machine Learning Faculty Publications
Machine Learning (ML) is about computational methods that enable machines to learn concepts from experiences. In handling a wide variety of experiences ranging from data instances, knowledge, constraints, to rewards, adversaries, and lifelong interplay in an ever-growing spectrum of tasks, contemporary ML/AI research has resulted in a multitude of learning paradigms and methodologies. Despite the continual progresses on all different fronts, the disparate narrowly-focused methods also make standardized, composable, and reusable development of learning solutions difficult, and make it costly if possible to build AI agents that panoramically learn from all types of experiences. This paper presents a standardized ML …
The Hubble Pancet Program: Transit And Eclipse Spectroscopy Of The Strongly Irradiated Giant Exoplanet Wasp-76b, Guangwei Fu, Drake Deming, Joshua Lothringer, Nikolay Nikolov, David K. Sing, Eliza M.-R. Kempton, Jegug Ih, Thomas M. Evans, Kevin Stevenson, Hannah R. Wakeford, Joseph E. Rodriguez, Jason D. Eastman, Keivan Stassun, Gregory W. Henry, Mercedes López-Morales, Monika Lendl, Dennis M. Conti, Chris Stockdale, Karen Collins, John Kielkopf, Joanna K. Barstow, Jorge Sanz-Forcada, David Ehrenreich, Vincent Bourrier, Leonardo A. Dos Santos
The Hubble Pancet Program: Transit And Eclipse Spectroscopy Of The Strongly Irradiated Giant Exoplanet Wasp-76b, Guangwei Fu, Drake Deming, Joshua Lothringer, Nikolay Nikolov, David K. Sing, Eliza M.-R. Kempton, Jegug Ih, Thomas M. Evans, Kevin Stevenson, Hannah R. Wakeford, Joseph E. Rodriguez, Jason D. Eastman, Keivan Stassun, Gregory W. Henry, Mercedes López-Morales, Monika Lendl, Dennis M. Conti, Chris Stockdale, Karen Collins, John Kielkopf, Joanna K. Barstow, Jorge Sanz-Forcada, David Ehrenreich, Vincent Bourrier, Leonardo A. Dos Santos
Information Systems and Engineering Management Research Publications
Ultra-hot Jupiters with equilibrium temperatures greater than 2000 K are uniquely interesting targets as they provide us crucial insights into how atmospheres behave under extreme conditions. This class of giant planets receives intense radiation from their host star and usually has strongly irradiated and highly inflated atmospheres. At such a high temperature, cloud formation is expected to be suppressed and thermal dissociation of water vapor could occur. We observed the ultra-hot Jupiter WASP-76b with seven transits and five eclipses using the Hubble Space Telescope and the Spitzer Space Telescope (Spitzer) for a comprehensive study of its atmospheric chemical and physical …
Primary Industries Development Research Highlights 2021, Department Of Primary Industries And Regional Development, Tim Scanlon
Primary Industries Development Research Highlights 2021, Department Of Primary Industries And Regional Development, Tim Scanlon
Books & book chapters
The Primary Industries Development Research Highlights 2021 showcases the breadth and depth of the Department of Primary Industries and Regional Development’s research and development activities over the past several years.
Stories featured in Research Highlights 2021 stem from about 60 (of 140) current and recently-completed projects undertaken by the Department of Primary Industries and Regional Development’s (DPIRD) 1100 scientists, technical experts and economists throughout the State.
Explore our Research Highlights 2021.
The publication demonstrates the innovative and applicable research that DPIRD and its collaborators and investment partners deliver to Western Australia.
Download the Research Highlights 2021 here. Alternatively, …
Observations And Validation Of Plasma Density, Temperature, And O+ Abundance From A Langmuir Probe Onboard The International Space Station, Shantanab Debchoudhury, Aroh Barjatya, Joseph I. Minow, Victoria N. Coffey, Michael O. Chandler
Observations And Validation Of Plasma Density, Temperature, And O+ Abundance From A Langmuir Probe Onboard The International Space Station, Shantanab Debchoudhury, Aroh Barjatya, Joseph I. Minow, Victoria N. Coffey, Michael O. Chandler
Publications
The Floating Potential Measurement Unit (FPMU) has been operational on board the International Space Station (ISS) since 2006. One of the instruments in the FPMU suite is a spherical wide-sweeping Langmuir probe, referred to as the WLP, which is sampled at a temporal cadence of 1 s giving in-situ measurements of the plasma density and electron temperature. In this study we present our refinements to the Langmuir probe analysis algorithm that address the uncertainties associated with photoelectron emission current from the metal probe. We also derive the fraction of O+ ions as a secondary data product, which shows decrease …
Venus Mountain Waves In The Upper Atmosphere Simulated By A Time-Invariant Linear Full-Wave Spectral Model, Michael P. Hickey, Thomas Navarro, Gerald Schubert, Richard L. Walterscheid
Venus Mountain Waves In The Upper Atmosphere Simulated By A Time-Invariant Linear Full-Wave Spectral Model, Michael P. Hickey, Thomas Navarro, Gerald Schubert, Richard L. Walterscheid
Publications
A 2-D spectral full-wave model is described that simulates the generation and propagation of mountain waves over idealized topography in Venus’ atmosphere. Modeled temperature perturbations are compared with the Akatsuki observations. Lower atmosphere eddy diffusivity and stability play a major role in the upward propagation of gravity waves from their mountain sources. Two local times (LT) are considered. For LT = 11h the waves are blocked by a critical level near 100 km altitude, while for LT = 16 h the waves propagate into the thermosphere. As a result of the small scale height in the Venus thermosphere, for LT …
Forensic Artifact Finder (Forensicaf): An Approach & Tool For Leveraging Crowd-Sourced Curated Forensic Artifacts, Tyler Balon, Krikor Herlopian, Ibrahim Baggili, Cinthya Grajeda-Mendez
Forensic Artifact Finder (Forensicaf): An Approach & Tool For Leveraging Crowd-Sourced Curated Forensic Artifacts, Tyler Balon, Krikor Herlopian, Ibrahim Baggili, Cinthya Grajeda-Mendez
Electrical & Computer Engineering and Computer Science Faculty Publications
Current methods for artifact analysis and understanding depend on investigator expertise. Experienced and technically savvy examiners spend a lot of time reverse engineering applications while attempting to find crumbs they leave behind on systems. This takes away valuable time from the investigative process, and slows down forensic examination. Furthermore, when specific artifact knowledge is gained, it stays within the respective forensic units. To combat these challenges, we present ForensicAF, an approach for leveraging curated, crowd-sourced artifacts from the Artifact Genome Project (AGP). The approach has the overarching goal of uncovering forensically relevant artifacts from storage media. We explain our approach …
Forensicast: A Non-Intrusive Approach & Tool For Logical Forensic Acquisition & Analysis Of The Google Chromecast Tv, Alex Sitterer, Nicholas Dubois, Ibrahim Baggili
Forensicast: A Non-Intrusive Approach & Tool For Logical Forensic Acquisition & Analysis Of The Google Chromecast Tv, Alex Sitterer, Nicholas Dubois, Ibrahim Baggili
Electrical & Computer Engineering and Computer Science Faculty Publications
The era of traditional cable Television (TV) is swiftly coming to an end. People today subscribe to a multitude of streaming services. Smart TVs have enabled a new generation of entertainment, not only limited to constant on-demand streaming as they now offer other features such as web browsing, communication, gaming etc. These functions have recently been embedded into a small IoT device that can connect to any TV with High Definition Multimedia Interface (HDMI) input known as Google Chromecast TV. Its wide adoption makes it a treasure trove for potential digital evidence. Our work is the primary source on forensically …
E-Cigarette Fluids And Aerosol Residues Cause Oxidative Stress And An Inflammatory Response In Human Keratinocytes And 3d Skin Models., Careen Khachatoorian, Wentai Luo, Kevin J. Mcwhirter, James F. Pankow, Prue Talbot
E-Cigarette Fluids And Aerosol Residues Cause Oxidative Stress And An Inflammatory Response In Human Keratinocytes And 3d Skin Models., Careen Khachatoorian, Wentai Luo, Kevin J. Mcwhirter, James F. Pankow, Prue Talbot
Chemistry Faculty Publications and Presentations
Our goal was to evaluate the effects of EC refill fluids and EC exhaled aerosol residue (ECEAR) on cultured human keratinocytes and MatTek EpiDerm™, a 3D air liquid interface human skin model. Quantification of flavor chemicals and nicotine in Dewberry Cream and Churrios refill fluids was done using GC-MS. The dominant flavor chemicals were maltol, ethyl maltol, vanillin, ethyl vanillin, benzyl alcohol, and furaneol. Cytotoxicity was determined with the MTT and LDH assays, and inflammatory markers were quantified with ELISAs. Churrios was cytotoxic to keratinocytes in the MTT assay, and both fluids induced ROS production in the medium (ROS-Glo™) and …
Mechanistic Investigation Of Neuropeptide S-Nitrosylation By Nitric Oxide Moieties: A Kinetic And Thermodynamic Approach, Vusumuzi Leroy Sibanda
Mechanistic Investigation Of Neuropeptide S-Nitrosylation By Nitric Oxide Moieties: A Kinetic And Thermodynamic Approach, Vusumuzi Leroy Sibanda
Dissertations and Theses
This dissertation focuses on providing quantitative insights regarding kinetic, thermodynamic and mechanistic parameters of neuropeptide S-nitrosylation by nitrous acid (HNO2), peroxynitrite (ONOO-) and S-nitroso-N-acetyl-D,L-penicillamine (SNAP) to produce S-nitrosothiols (SNOs). Peptide thiol stability and the formation of SNOs from neuropeptides; arginine vasopressin (AVP), somatostatin-14 (SST-14) and urotensin II (U-II) was studied. Investigations into the effects of temperature, copper chelators and pH on peptide thiol autoxidation show that AVP, SST-14 and U-II thiols have half-lives of 30, 44 and 28.2 mins respectively at physiologically relevant temperature and pH in the absence of metal chelators. Target peptide thiols were …
Changes In The Flood Plains And Water Quality Along The Himalayan Rivers After The Chamoli Disaster Of 7 February 2021, Sansar Raj Meena, Kushanav Bhuyan, Akshansa Chauhan, Ramesh P. Singh
Changes In The Flood Plains And Water Quality Along The Himalayan Rivers After The Chamoli Disaster Of 7 February 2021, Sansar Raj Meena, Kushanav Bhuyan, Akshansa Chauhan, Ramesh P. Singh
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
The Himalayan regions are vulnerable to all kinds of natural hazards. On 7 February 2021, a deadly disaster occurred near the Tapovan, in Uttarakhand, Himalayas. During the event, large volume of debris along with broken glacial fragments flooded the Rishi Ganga River and washed away the nearby hydropower plants (Rishi Ganga and Tapovan), which was revealed from detailed analysis of multi spectral and bi-temporal satellite data. We present the impact of the Chamoli disaster on the flood plains and water quality of Himalayan rivers, Rishi Ganga near Tapovan, Alaknanda near Srinagar and Ganga near Haridwar and Bijnor. We used four …
Synchrotron X-Ray Characterizations Of Black Phosphorus: Preparation, Doping And Applications In Energy Storage, Minsi Li
Electronic Thesis and Dissertation Repository
Black phosphorus (BP), as a two-dimensional material, has attracted interest in recent decades due to its unique properties—tunable band gap and high carrier mobility. Specifically, BP shows ultra-high theoretical capacity of 2595 mA h g-1, resulting in high potential practical applications in lithium-ion batteries (LIBs). However, several challenges limit the development of BP in the energy storage field and LIBs: 1) The cost of the current synthesis methods of BP is too high to support extensive research studies and practical applications; 2) The electrical conductivity of BP is insufficient in LIBs; 3) The huge volume change of BP …
Compressed Th M-Ary Ppm Technique For Improved Performance Of Uwb Radio, Adnan Arar, Ahmed Masri, Yousef Dama
Compressed Th M-Ary Ppm Technique For Improved Performance Of Uwb Radio, Adnan Arar, Ahmed Masri, Yousef Dama
Hebron University Research Journal-A (Natural Sciences) - (مجلة جامعة الخليل للبحوث- أ (العلوم الطبيعيه
proposed Compressed M-Ary PPM (CTH M-Ary PPM) technique is to adopt fixed symbol duration for all M PPM modulation levels, which results in reducing the number of TH chips , improving the SINR at the pulse level and reducing the overall time required to complete the transmission of the same amount of data from any user. As a consequence, lowering the overall probability of users’ collisions, and so, reducing the chance of interference to occur from the beginning on the pulse level. Detailed channel model and Signal-to-Interference-pulse-Noise-Ratio (SINR) derivations are presented. The designed Simulation results confirm that the new proposed …
Comparing A Dss And Farmers' Decisions For Rangeland Management In Semi Arid Namibia, D. F. Joubert, I. Zimmermann, J. Fendler, H. Winschiers, F. P. Graz
Comparing A Dss And Farmers' Decisions For Rangeland Management In Semi Arid Namibia, D. F. Joubert, I. Zimmermann, J. Fendler, H. Winschiers, F. P. Graz
IGC Proceedings (1993-2023)
No abstract provided.
Building A Shared Diagnosis Of Land Use Within A Multi‐Stakeholder Platform In A Pastoral Mountainous Area In The Western Pyrenees, N. Girard, D. Magda, P. Gascouat, D. Lassalle
Building A Shared Diagnosis Of Land Use Within A Multi‐Stakeholder Platform In A Pastoral Mountainous Area In The Western Pyrenees, N. Girard, D. Magda, P. Gascouat, D. Lassalle
IGC Proceedings (1993-2023)
No abstract provided.
An Adaptive Cryptosystem On A Finite Field, Awnon Bhowmik, Unnikrishnan Menon
An Adaptive Cryptosystem On A Finite Field, Awnon Bhowmik, Unnikrishnan Menon
Publications and Research
Owing to mathematical theory and computational power evolution, modern cryptosystems demand ingenious trapdoor functions as their foundation to extend the gap between an enthusiastic interceptor and sensitive information. This paper introduces an adaptive block encryption scheme. This system is based on product, exponent, and modulo operation on a finite field. At the heart of this algorithm lies an innovative and robust trapdoor function that operates in the Galois Field and is responsible for the superior speed and security offered by it. Prime number theorem plays a fundamental role in this system, to keep unwelcome adversaries at bay. This is a …
Dirac-Born-Infeld Warm Inflation Realization In The Strong Dissipation Regime, Meysam Motaharfar, Rudnei O. Ramos
Dirac-Born-Infeld Warm Inflation Realization In The Strong Dissipation Regime, Meysam Motaharfar, Rudnei O. Ramos
Faculty Publications
We consider warm inflation with a Dirac-Born-Infeld (DBI) kinetic term in which both the non-equilibrium dissipative particle production and the sound speed parameter slow the motion of the inflaton field. We find that a low sound speed parameter removes, or at least strongly suppresses, the growing function appearing in the scalar of curvature power spectrum of warm inflation, which appears due to the temperature dependence in the dissipation coefficient. As a consequence of that, a low sound speed helps to push warm inflation into the strong dissipation regime, which is an attractive regime from a model building and phenomenological perspective. …
Operating Solar Projects In Nevada, 2021, Kristian Thymianos, Saha Salahi, William E. Brown Jr.
Operating Solar Projects In Nevada, 2021, Kristian Thymianos, Saha Salahi, William E. Brown Jr.
Environment
The U.S. Energy Information Administration (EIA) and the Solar Energy Industries Association (SEIA) both provide national databases that contain comprehensive lists of active solar projects in the United States. This fact sheet provides a list of operating solar projects in the State of Nevada.
Deepsec: A Deep Learning Framework For Secreted Protein Discovery In Human Body Fluids, Dan Shao, Lan Huang, Yan Wang, Kai He, Xueteng Cui, Yao Wang, Qin Ma, Juan Cui
Deepsec: A Deep Learning Framework For Secreted Protein Discovery In Human Body Fluids, Dan Shao, Lan Huang, Yan Wang, Kai He, Xueteng Cui, Yao Wang, Qin Ma, Juan Cui
School of Computing: Faculty Publications
Motivation: Human proteins that are secreted into different body fluids from various cells and tissues can be promising disease indicators. Modern proteomics research empowered by both qualitative and quantitative profiling techniques has made great progress in protein discovery in various human fluids. However, due to the large number of proteins and diverse modifications present in the fluids, as well as the existing technical limits of major proteomics platforms (e.g. mass spectrometry), large discrepancies are often generated from different experimental studies. As a result, a comprehensive proteomics landscape across major human fluids are not well determined.
Results: To bridge …
Extended Search For Supernovalike Neutrinos In Nova Coincident With Ligo/Virgo Detections, M. A. Acero, P. Adamson, L. Aliaga, N. Anfimov, A. Antoshkin, E. Arrieta-Diaz, L. Asquith, A. Aurisano, A. Back, C. Backhouse, M. Baird, N. Balashov, P. Baldi, B. A. Bambah, S. Bashar, K. Bays, R. Bernstein, V. Bhatnagar, B. Bhuyan, J. Bian, Roberto Petti, Et. Al.
Extended Search For Supernovalike Neutrinos In Nova Coincident With Ligo/Virgo Detections, M. A. Acero, P. Adamson, L. Aliaga, N. Anfimov, A. Antoshkin, E. Arrieta-Diaz, L. Asquith, A. Aurisano, A. Back, C. Backhouse, M. Baird, N. Balashov, P. Baldi, B. A. Bambah, S. Bashar, K. Bays, R. Bernstein, V. Bhatnagar, B. Bhuyan, J. Bian, Roberto Petti, Et. Al.
Faculty Publications
A search is performed for supernovalike neutrino interactions coincident with 76 gravitational wave events detected by the LIGO/Virgo Collaboration. For 40 of these events, full readout of the time around the gravitational wave is available from the NOvA Far Detector. For these events, we set limits on the fluence of the sum of all neutrino flavors of F < 7(4) × 1010 cm−2 at 90% C.L. assuming energy and time distributions corresponding to the Garching supernova models with masses 9.6ð27Þ M⊙. Under the hypothesis that any given gravitational wave event was caused by a supernova, this corresponds to a distance …
Performance Of The Beta-Binomial Model For Clustered Binary Responses: Comparison With Generalized Estimating Equations, Seongah Im
Journal of Modern Applied Statistical Methods
This study examined performance of the beta-binomial model in comparison with GEE using clustered binary responses resulting in non-normal outcomes. Monte Carlo simulations were performed under varying intracluster correlations and sample sizes. The results showed that the beta-binomial model performed better for small sample, while GEE performed well under large sample.
Utilizing Patient-Derived Epithelial Ovarian Cancer Tumor Organoids To Predict Carboplatin Resistance, Justin W. Gorski, Zhuwei Zhang, J. Robert Mccorkle, Jodi M. Dejohn, Chi Wang, Rachel W. Miller, Holly H. Gallion, Charles S. Dietrich Iii, Frederick R. Ueland, Jill M. Kolesar
Utilizing Patient-Derived Epithelial Ovarian Cancer Tumor Organoids To Predict Carboplatin Resistance, Justin W. Gorski, Zhuwei Zhang, J. Robert Mccorkle, Jodi M. Dejohn, Chi Wang, Rachel W. Miller, Holly H. Gallion, Charles S. Dietrich Iii, Frederick R. Ueland, Jill M. Kolesar
Obstetrics and Gynecology Faculty Publications
The development of patient-derived tumor organoids (TOs) from an epithelial ovarian cancer tumor obtained at the time of primary or interval debulking surgery has the potential to play an important role in precision medicine. Here, we utilized TOs to test front-line chemotherapy sensitivity and to investigate genomic drivers of carboplatin resistance. We developed six high-grade, serous epithelial ovarian cancer tumor organoid lines from tissue obtained during debulking surgery (two neoadjuvant-carboplatin-exposed and four chemo-naïve). Each organoid line was screened for sensitivity to carboplatin at four different doses (100, 10, 1, and 0.1 µM). Cell viability curves and resultant EC50 values …
Chagas Disease In Hiv-Infected Patients: It’S Time To Consider The Diagnosis, Melissa Nolan Ph.D., Mph, Natasha S. Hochberg
Chagas Disease In Hiv-Infected Patients: It’S Time To Consider The Diagnosis, Melissa Nolan Ph.D., Mph, Natasha S. Hochberg
Faculty Publications
No abstract provided.
Bpsou Final Reclaimed Areas Maintenance And Monitoring Qapp - 2021, Nikia Greene
Bpsou Final Reclaimed Areas Maintenance And Monitoring Qapp - 2021, Nikia Greene
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Automated Statistical Structural Testing Techniques And Applications, Yang Shi
Automated Statistical Structural Testing Techniques And Applications, Yang Shi
Dissertations and Theses
Statistical structural testing(SST) is an effective testing technique that produces random test inputs from probability distributions. SST shows superiority in fault-revealing power over random testing and deterministic approaches since it heritages the merits from both of them. SST ensures testing thoroughness by setting up a probability lower-bound criterion for each structural cover element and test inputs that exercise a structural cover element sampled from the probability distribution, ensuring testing randomness. Despite the advantages, SST is not a widely used approach in practice. There are two major limitations. First, to construct probability distributions, a tester must understand the underlying software's structure, …
Space Science And Social Media: Automating Science Communication On Twitter, Maia Williams
Space Science And Social Media: Automating Science Communication On Twitter, Maia Williams
Honors Projects
This project analyzes how social media is used to engage general audiences in astronomy and space science, as well as ways to improve engagement through automation. Tweets from five space science organizations were sampled. The engagement rate for each tweet was calculated from the number of interactions it received. Accounts that tweet more per day had more followers, and accounts with more followers received more interactions. This project also investigated how to build a Twitter bot to automate science communication. Using NASA Application Programming Interfaces, a Twitter bot was written in Python to tweet images taken by the NASA Mars …
Turn Of Phrase: Contrastive Pre-Training For Discourse-Aware Conversation Models, Roland Laboulaye
Turn Of Phrase: Contrastive Pre-Training For Discourse-Aware Conversation Models, Roland Laboulaye
Theses and Dissertations
Understanding long conversations requires recognizing a discourse flow unique to conversation. Recent advances in unsupervised representation learning of text have been attained primarily through language modeling, which models discourse only implicitly and within a small window. These representations are in turn evaluated chiefly on sentence pair or paragraph-question pair benchmarks, which measure only local discourse coherence. In order to improve performance on discourse-reliant, long conversation tasks, we propose Turn-of-Phrase pre-training, an objective designed to encode long conversation discourse flow. We leverage tree-structured Reddit conversations in English to, relative to a chosen conversation path through the tree, select paths of varying …
The Eco‐Integrity And Grassland Management — The Lessons From Biodiversity Conservation & Community Development In Imar, China, Weijie Deng
IGC Proceedings (1993-2023)
No abstract provided.