Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Sciences (63850)
- Earth Sciences (59546)
- Environmental Sciences (52755)
- Engineering (41152)
- Life Sciences (39423)
-
- Physics (34246)
- Chemistry (33372)
- Geology (30009)
- Mathematics (27236)
- Social and Behavioral Sciences (21300)
- Soil Science (14408)
- Oceanography and Atmospheric Sciences and Meteorology (14149)
- Plant Sciences (13994)
- Computer Engineering (13629)
- Education (13386)
- Statistics and Probability (12912)
- Artificial Intelligence and Robotics (11643)
- Medicine and Health Sciences (11134)
- Agronomy and Crop Sciences (10837)
- Weed Science (10370)
- Arts and Humanities (9956)
- Agricultural Science (9896)
- Natural Resources and Conservation (9843)
- Plant Biology (9662)
- Sustainability (9450)
- Plant Pathology (9372)
- Electrical and Computer Engineering (9238)
- Astrophysics and Astronomy (8900)
- Natural Resources Management and Policy (8582)
- Institution
-
- University of Nebraska - Lincoln (25791)
- Western Michigan University (20684)
- University of Kentucky (14838)
- TÜBİTAK (10730)
- Singapore Management University (9399)
-
- Utah State University (7953)
- Old Dominion University (7345)
- Missouri University of Science and Technology (7311)
- Portland State University (4205)
- University of South Florida (4144)
- Wright State University (3961)
- University of Nevada, Las Vegas (3930)
- China Simulation Federation (3924)
- City University of New York (CUNY) (3757)
- Louisiana State University (3676)
- Brigham Young University (3436)
- University of Texas Rio Grande Valley (3165)
- University of Arkansas, Fayetteville (3135)
- Chulalongkorn University (3121)
- Air Force Institute of Technology (3078)
- Department of Primary Industries and Regional Development, Western Australia (2929)
- Purdue University (2869)
- Claremont Colleges (2865)
- California Polytechnic State University, San Luis Obispo (2725)
- University of Texas at El Paso (2636)
- Montana Tech Library (2422)
- University of South Carolina (2408)
- Chinese Chemical Society | Xiamen University (2395)
- Technological University Dublin (2383)
- Wayne State University (2316)
- Keyword
-
- Machine learning (2205)
- Western Australia (1955)
- Climate change (1684)
- Mathematics (1412)
- Deep learning (1191)
-
- Sustainability (1183)
- Chemistry (1131)
- Artificial intelligence (1113)
- Machine Learning (1099)
- Physics (1035)
- Groundwater (979)
- Geology (975)
- Water quality (903)
- Computer Science (827)
- United States (810)
- Simulation (789)
- Nebraska (774)
- Education (743)
- Remote sensing (717)
- Climate (705)
- Agriculture (704)
- Grains and field crops (698)
- Water (698)
- Security (688)
- Statistics (688)
- Optimization (667)
- Conservation (647)
- Environment (626)
- Humans (601)
- Algorithms (585)
- Publication Year
-
- 2026 (8976)
- 2025 (12184)
- 2024 (14119)
- 2023 (14122)
- 2022 (18216)
-
- 2021 (27755)
- 2020 (14806)
- 2019 (13031)
- 2018 (11790)
- 2017 (11102)
- 2016 (10866)
- 2015 (9578)
- 2014 (9800)
- 2013 (8928)
- 2012 (8516)
- 2011 (7765)
- 2010 (6945)
- 2009 (6353)
- 2008 (5871)
- 2007 (5729)
- 2006 (4906)
- 2005 (4759)
- 2004 (3873)
- 2003 (3354)
- 2002 (3128)
- 2001 (2764)
- 2000 (2647)
- 1999 (2348)
- 1998 (2339)
- 1997 (2184)
- Publication
-
- Legacy Scout Tickets from Pure Oil Company (11044)
- IGC Proceedings (1977-2023) (9261)
- Theses and Dissertations (8799)
- Research Collection School Of Computing and Information Systems (8556)
- Thin Sections (6677)
-
- Faculty Publications (4086)
- Journal of System Simulation (3924)
- Electronic Theses and Dissertations (3529)
- Nebraska Tractor Tests (3402)
- Turkish Journal of Electrical Engineering and Computer Sciences (3106)
- Turkish Journal of Chemistry (2730)
- Turkish Journal of Mathematics (2595)
- Journal of Electrochemistry (2395)
- Physics Faculty Publications (2177)
- Masters Theses (2077)
- Dissertations (2036)
- Physics Faculty Research & Creative Works (1959)
- Silver Bow Creek/Butte Area Superfund Site (1896)
- Chulalongkorn University Theses and Dissertations (Chula ETD) (1876)
- USF Tampa Graduate Theses and Dissertations (1834)
- Coal Geology & Exploration (1822)
- School of Natural Resources: Faculty Publications (1735)
- Department of Computer Science Technical Reports (1721)
- United States Department of Agriculture Wildlife Services: Staff Publications (1625)
- All Graduate Theses and Dissertations, Spring 1920 to Summer 2023 (1432)
- Publications and Research (1413)
- LSU Doctoral Dissertations (1402)
- Publications (1382)
- Turkish Journal of Physics (1382)
- Open Access Theses & Dissertations (1380)
- Publication Type
Articles 12511 - 12540 of 294560
Full-Text Articles in Physical Sciences and Mathematics
Evaluating The Effects Of 3d User Interactions And Virtual Displays On Human Cognition And Perception For Immersive Analytics, Dongyun Han
All Graduate Theses and Dissertations, Fall 2023 to Present
This research investigates how virtual reality (VR) can be utilized effectively for users to explore data. Traditional data analysis typically takes place on flat, two-dimensional computer screens. In contrast, immersive technologies like VR offer a three-dimensional environment where users can engage with data more naturally and intuitively. Such immersive experiences have the potential to improve comprehension, memory, and insight during data analysis tasks. Despite this potential, several challenges remain in making immersive analytics practical and effective. Key questions include which types of 3D interaction techniques are most helpful and how accurately people perceive visual information in immersive environments. To address …
Empirical Evaluation Of Bayes Error Rate Bounds In Binary Classification, Riley May
Empirical Evaluation Of Bayes Error Rate Bounds In Binary Classification, Riley May
All Graduate Theses and Dissertations, Fall 2023 to Present
Classification tasks are fundamental in statistical machine learning. In classification tasks, a general goal is to build or select a model that can correctly classify data with as few errors as possible. However, for a particular dataset, the minimal number of errors achievable is seldom zero since overlap in the data makes errors unavoidable. As a result, it is often difficult for machine learning practitioners and data scientists to know whether classification errors can be reduced through further refinement. A potential solution to this lies in the Bayes error rate (BER). The BER is the lowest error rate achievable for …
Aquatic Habitat Representation For Robust Water Resources Management And Fish Conservation Decision-Making, Gregory C. Goodrum
Aquatic Habitat Representation For Robust Water Resources Management And Fish Conservation Decision-Making, Gregory C. Goodrum
All Graduate Theses and Dissertations, Fall 2023 to Present
We rely on rivers to provide water supply, flood control, and hydroelectricity for people and to sustain aquatic ecosystems. The development of dams and reservoirs to provide water for people did not consider environmental impacts to rivers, leading to widespread decline of freshwater species and habitat. Improving environmental outcomes of water management is needed to protect and restore aquatic ecosystems. However, rivers are complex and variable, making them difficult to represent as objectives for water management. This dissertation explores approaches to improve aquatic habitat representation and environmental objectives for water resources management and river conservation and restoration.
Chapter 2 uses …
From Supercomputers To Desktops: An Interactive And Portable System For Particle In Cell Simulation And Visualization Using Commodity Hardware, Kim Peterson
All Graduate Theses and Dissertations, Fall 2023 to Present
Generating and analyzing visual representations of simulation data in real time (i.e., during execution), has become increasingly important for handling the complexity and scale of modern computational models. Traditionally, this approach has been limited to High-Performance Computing (HPC) environments, leaving some researchers, students and educators without resources to explore cutting-edge simulations and analyses. This work attempts to show that powerful scientific simulations and real-time analysis can be made available by using more easily obtained commodity hardware. This approach may enable a broader participation in the scientific computing discovery process.
In this paper, we explore how advanced simulation and visualization frameworks …
Quantifying The Sensitivity Of Land Use Land Cover Metrics Through Simulation Techniques, Haley Burger
Quantifying The Sensitivity Of Land Use Land Cover Metrics Through Simulation Techniques, Haley Burger
All Graduate Theses and Dissertations, Fall 2023 to Present
As human activities and climate change continue to reshape our landscape, understanding how land use changes over time is becoming increasingly important. Accurate ways to track and analyze these changes are essential for governments, businesses, and communities to make informed decisions. Monitoring agricultural land is particularly critical, as shifts in land use can impact food production and environmental pollutants. One of the primary tools used in the United States to monitor agricultural land is the Cropland Data Layer (CDL), an annual map created by the United States Department of Agriculture (USDA) from satellite images. While the CDL is highly accurate, …
Exploring Biotic And Abiotic Drivers Of Ecosystem Properties: The Influence Of Waterbirds And Photodegradation On Wetland Ecosystems, Lindsay Miller
Exploring Biotic And Abiotic Drivers Of Ecosystem Properties: The Influence Of Waterbirds And Photodegradation On Wetland Ecosystems, Lindsay Miller
All Graduate Theses and Dissertations, Fall 2023 to Present
Wetlands provide a wide range of valuable ecosystem services: these are benefits from the environment that support human well-being, such as water filtration, fish and bird habitat, and shoreline protection. Despite their importance, wetlands are among the most threatened ecosystems, facing increasing pressure from natural and human activities. To better predict the future of wetlands and guide effective management and restoration practices, we need to understand the various forces shaping their ecological properties. In this thesis, we examined the influence of two forces: waterbirds and photodegradation (the process by which sunlight breaks down plant material). To explore each of these …
Out Of Core And Adaptive Image Blending Approach For Large Scale Image Mosaics, Marcus Quincy
Out Of Core And Adaptive Image Blending Approach For Large Scale Image Mosaics, Marcus Quincy
All Graduate Theses and Dissertations, Fall 2023 to Present
When creating large stitched images, like those used in maps made from aerial photos, it’s important to make sure the seams between individual pictures aren’t visible. This process, known as color blending, helps smooth out differences in lighting or weather across the images. But blending very large images, such as those made from many high-resolution aerial photos, can require huge amounts of memory, making it hard to do on a typical computer.
In this work, we developed a method that breaks the problem into smaller pieces, so only a small part of the image needs to be worked on at …
Twisted Equivariant Matrix Factorizations, Jan-Luca Spellmann
Twisted Equivariant Matrix Factorizations, Jan-Luca Spellmann
All Graduate Theses and Dissertations, Fall 2023 to Present
We introduce and study categories of twisted equivariant matrix factorizations MFαG(R, w), which are categories of matrix factorizations of a potential w over the local ring R = C[x1, . . . , xn] together with an action by a finite group G that is twisted via a 2-cocycle α. These categories provide rich examples of Z/2Z-differentially graded categories in the context of non-commutative geometry and come up naturally in the study of boundary conditions of 3d Rozansky–Witten theories. We prove that under certain assumptions on (R, w …
Understanding Hydroclimate In The Contiguous United States: Roles Of Temperature Vs Precipitation And Subtropical Pacific Warming, Grace Esenam Affram
Understanding Hydroclimate In The Contiguous United States: Roles Of Temperature Vs Precipitation And Subtropical Pacific Warming, Grace Esenam Affram
All Graduate Theses and Dissertations, Fall 2023 to Present
This study investigates the physical drivers and mechanisms of hydroclimate variability across the Contiguous United States (U.S.), using a combination of observable data, reanalysis data, land modeling, and coupled climate model experiments. One of the major findings is that the historic 2021 drought event across the Western U.S. was primarily driven by a severe lack of precipitation rather than increased temperatures. The study further finds that anthropogenic forcing has substantially increased the risk of this extreme drought by approximately 26 times relative to a world without the influence.
Additionally, the study reveals that the Pacific Meridional Mode (PMM) characterized by …
A Value Sensitive Design Approach To Reimagining Parental Control Apps, Prakriti Dumaru
A Value Sensitive Design Approach To Reimagining Parental Control Apps, Prakriti Dumaru
All Graduate Theses and Dissertations, Fall 2023 to Present
Parental control apps are often used by families to regulate children's device usage and keep them safe online. However, existing tools focus on monitoring and restricting children, which can lead to tension and mistrust within families. This research takes a new approach by exploring how parental control apps can be redesigned to support positive family values, like encouraging open communication between parents and children and helping children self-regulate their behaviors. Through four in-depth studies, this dissertation looks at how these values play out in different real-life situations. It includes families with children on the autism spectrum, divorced households where parents …
Beyond The Click: Investigating Mental Models, Targeted Attacks, And Behavioral Interventions Against Clickbait, Ankit Shrestha
Beyond The Click: Investigating Mental Models, Targeted Attacks, And Behavioral Interventions Against Clickbait, Ankit Shrestha
All Graduate Theses and Dissertations, Fall 2023 to Present
Clickbait is misleading or exaggerated content on social media that tricks people into clicking on links by making them curious. For instance, posts that use headlines such as “This is the worst day to visit a restaurant”. These clickbait posts can lead to fake news, wrong information, and even harmful websites. Even though many people know clickbait can be risky, they often still fall for it. Existing tools to stop clickbait don’t always consider how people think, the situations they are in, or their different needs. This research looks at how people understand and react to clickbait, and develops different …
Mathematical Modeling Of Effects Of Tumor Location On Lung Function., Lamargaret Temukisa Johnson
Mathematical Modeling Of Effects Of Tumor Location On Lung Function., Lamargaret Temukisa Johnson
Master of Engineering Theses
Lung cancer has the highest rates of incidence and mortality of all cancers. Most lung cancer tumors are Non-Small Cell Lung Cancer (NSCLC). NSCLC patients with lesions in the upper lobes are found to have better prognosis compared to those with lesions in the middle and lower lobes. Previous studies have suggested various causes for this discrepancy at both the organ-scale and tissue-scale. To model NSCLC growth in different locations within the lung, an organ scale lung model and tissue scale tumor model were coupled through the tissue pressure, and oxygen and carbon dioxide partial pressures. The coupling was used …
Low-Level Memory Attacks On Edge Assisted Robotic Applications, William Arnold
Low-Level Memory Attacks On Edge Assisted Robotic Applications, William Arnold
Master of Engineering Theses
This thesis investigates how low-level memory faults can undermine edge-assisted robotic systems that rely on memory optimization. As robots are utilized in real world applications, the ability to operate safely and successfully in mission critical deployment becomes important. To help achieve these goals, developers are increasingly starting to place computation nodes at network edges to meet latency and reliability requirements. Edge nodes, however, are resource-constrained and resources conservation techniques such as Kernel Same-page Merging (KSM) are enabled to deduplicate identical pages across processes or virtual machines. This thesis shows that this optimization technique quietly widens the attack surface and can …
A Novel Diastolic Doppler Index Less Affected By Aortic Arch Anomalies Co-Existing With Coarctation, Arash Ghorbannia, Andrew D. Spearman, Shahd Sawalhi, Ronald K. Woods, Mehdi Maadooliat, John F. Ladisa Jr.
A Novel Diastolic Doppler Index Less Affected By Aortic Arch Anomalies Co-Existing With Coarctation, Arash Ghorbannia, Andrew D. Spearman, Shahd Sawalhi, Ronald K. Woods, Mehdi Maadooliat, John F. Ladisa Jr.
Mathematical and Statistical Science Faculty Research and Publications
Severity assessment for coarctation of the aorta (CoA) is challenging due to concomitant morphological anomalies (complex CoA) and inaccurate Doppler-based indices. Promising diagnostic performance has been reported for the continuous flow pressure gradient (CFPG), but it has not been studied in complex CoA. Our objective was to characterize the effect of complex CoA and associated hemodynamics on CFPG in a clinical cohort. Retrospective analysis identified discrete juxtaductal (n = 25) and complex CoA (n = 43; transverse arch and/or isthmus hypoplasia) patients with arm-leg systolic blood pressure gradients (BPG) within 24 h of echocardiography for comparison to BPG …
Trust In Healthcare Ai Can’T Just Be Designed – It Must Be Felt By Clinicians And Patients, Adriana Banozic-Tang, Heng Wang
Trust In Healthcare Ai Can’T Just Be Designed – It Must Be Felt By Clinicians And Patients, Adriana Banozic-Tang, Heng Wang
Research Collection Yong Pung How School Of Law
Trust in healthcare AI currently over-relies on system design, not lived medical realities.Continuous feedback loops are necessary to embed trust in healthcare AI that is responsive to clinician and patient needs.Initiatives in South-East Asia show how trust in technology can be extended from policy to practice.
Ai In The Judiciary: The Singapore Case, Nydia Remolina Leon
Ai In The Judiciary: The Singapore Case, Nydia Remolina Leon
Research Collection Yong Pung How School Of Law
This paper examines the integration of Artificial Intelligence (AI) within the judicial system of Singapore. Singapore's judiciary has embraced AI not as a tool for adjudication, but as an augmentative instrument for legal research, procedural efficiency, and access to justice. It provides a detailed account of AI use cases in the courts, including case summarization, evidence review, assistance for selfrepresented litigants, and tools like the Divorce Assets Informative Division Estimator. The discussion then turns to the legal profession, exploring how law firms in Singapore are adopting AI technologies. The paper also addresses how AI implementation in the judicial system is …
On The Origin Of Green Finance Policies, Theodor Florian Cojoianu, D. French, Andrea G. F. Hoepner, Sheenan L., Anh Vu
On The Origin Of Green Finance Policies, Theodor Florian Cojoianu, D. French, Andrea G. F. Hoepner, Sheenan L., Anh Vu
Research Collection College of Integrative Studies
Despite the rising number of green finance policies, the socioeconomic determinants shaping them remain largely unexamined. Drawing from the literature analysing the relationship between regulation, market development and institutional economics, we contend that green finance policy adoption is driven by both market-based and institutional factors. Using a survival analysis approach to understand the levers influencing green finance policy adoption across 188 countries from 2000 to 2019, we find that exposure to the fossil fuel industry predominantly drives the initial issuance of green finance policies. The positive effect of fossil fuel commercial financing on the adoption of green finance policies exists …
Health And Weather In Unfavourable Environments: Exploring The Historical Dynamics Of Colonial Medical Meteorology In Nineteenth-Century Tropical Asia, Fiona Williamson
Health And Weather In Unfavourable Environments: Exploring The Historical Dynamics Of Colonial Medical Meteorology In Nineteenth-Century Tropical Asia, Fiona Williamson
Research Collection College of Integrative Studies
Medical meteorology had a long precedent in medical thought across Eastern and Western traditions. This article considers the tradition of medical meteorology that was favoured by Western doctors in the nineteenth century, which was often applied within colonial contexts to the understanding of new climates and how they might impact on human health. Looking at British-held tropical and sub-tropical colonies of the Straits Settlements and Hong Kong respectively, medical meteorology was stimulated by the new pathological and atmospheric conditions that European explorers and settlers now inhabited in the name of the British Empire. They brought with them concepts of disease …
A Comprehensive Analysis Of Evolving Permission Usage In Android Apps: Trends, Threats, And Ecosystem Insights, Ali Alkinoon, Trung Cuong Dang, Ahod Alghuried, Abdulaziz Alghamdi, Soohyeon Choi, Manar Mohaisen, An Wang, Saeed Salem, David Mohaisen
A Comprehensive Analysis Of Evolving Permission Usage In Android Apps: Trends, Threats, And Ecosystem Insights, Ali Alkinoon, Trung Cuong Dang, Ahod Alghuried, Abdulaziz Alghamdi, Soohyeon Choi, Manar Mohaisen, An Wang, Saeed Salem, David Mohaisen
Research Collection School Of Computing and Information Systems
The proper use of Android app permissions is crucial to the success and security of these apps. Users must agree to permission requests when installing or running their apps. Despite official Android platform documentation on proper permission usage, there are still many cases of permission abuse. This study provides a comprehensive analysis of the Android permission landscape, highlighting trends and patterns in permission requests across various applications from the Google Play Store. By distinguishing between benign and malicious applications, we uncover developers’ evolving strategies, with malicious apps increasingly requesting fewer permissions to evade detection, while benign apps request more to …
Other Orienteering Problem Variants, Pieter Vansteenwegen, Aldy Gunawan
Other Orienteering Problem Variants, Pieter Vansteenwegen, Aldy Gunawan
Research Collection School Of Computing and Information Systems
In this chapter, different variants of routing problems with profits will be discussed. Based on what is available in literature, mostly variants of the orienteering problem will be discussed. A first variant considers capacity constraints, since these appear frequently in many practical applications. Next, multi-objective orienteering problems, explicitly considering different types of profits separately are discussed. Time-dependent and stochastic travel times are also relevant for most practical applications. These are considered together with time-dependent and stochastic profits. More and more routing problems are considered together with inventory management. For routing problems with profits, this leads to the inventory orienteering problem, …
Understanding The Fluid Source During Alteration Of Former Oceanic Lithosphere In The Polygenetic Ingalls Ophiolite Complex, Washington, Usa, Zachary Russell Stevens
Understanding The Fluid Source During Alteration Of Former Oceanic Lithosphere In The Polygenetic Ingalls Ophiolite Complex, Washington, Usa, Zachary Russell Stevens
Masters Theses
The Ingalls Ophiolite Complex is an ophiolite of Jurassic age in central WA, USA. Much of the complex formed in a supra-subduction zone setting in a back-arc ocean basin during subduction of the Farallon plate beginning 192 Ma. Between formation and obduction, mafic and ultramafic lithologies experienced alteration in the presence of water, which previous studies inferred to be seawater. Previously published δ¹⁸O and δD data from the Ingalls indicates isotopic depletion possibly caused by interaction with meteoric water at current latitude (~47.5 °N). The current study reports new δD, δ¹⁸O, and Δ ′¹⁷O measurements from mafic and ultramafic lithologies …
Bibliography For "Ai 2.0: Is Ai A Tool, A Threat, Or A Teammate?", Annikah Carpio, Sally Park, Melody Madrigal
Bibliography For "Ai 2.0: Is Ai A Tool, A Threat, Or A Teammate?", Annikah Carpio, Sally Park, Melody Madrigal
Library Displays and Bibliographies
A bibliography created to support a display about AI 2.0 in August 2025 at the Leatherby Libraries at Chapman University.
Multi-Crop Systems And Crop-Switching Strategies To Enhance Water Use Efficiency And Climate Resilience In Arid Agricultural Regions, Shahryar Fazli, Wenzhao Li, Surendra Maharjan, Hesham El-Askary
Multi-Crop Systems And Crop-Switching Strategies To Enhance Water Use Efficiency And Climate Resilience In Arid Agricultural Regions, Shahryar Fazli, Wenzhao Li, Surendra Maharjan, Hesham El-Askary
Mathematics, Physics, and Computer Science Faculty Articles and Research
Agriculture in the Lower Colorado River (LCR) region faces mounting challenges from climate change, arid conditions, and water scarcity. This study evaluates water use efficiency (WUEc) and crop-switching strategies under SSP2-4.5 and SSP5-8.5 scenarios for 2025–2049, 2050–2074, and 2075–2099. Using historical data, climatic drivers such as temperature and precipitation were analyzed for their influence on key crops, including durum wheat, winter wheat, and corn. Results show SSP2-4.5 supports water use reductions up to 16%, stable profits (80–90%), and modest calorie increases (up to 15%), while SSP5-8.5 poses severe challenges, with water use reductions of 2–5%, profits dropping to around 20%, …
Wildfires Classification In Canadian Boreal Forest: A Comparative Study Of Logistic Regression And Xgboost Models, Brandon Tran, Elijah James Duran, Mike Luu, Hesham Morgan, Surendra Maharjan, Wenzhao Li, Hesham El-Askary
Wildfires Classification In Canadian Boreal Forest: A Comparative Study Of Logistic Regression And Xgboost Models, Brandon Tran, Elijah James Duran, Mike Luu, Hesham Morgan, Surendra Maharjan, Wenzhao Li, Hesham El-Askary
Mathematics, Physics, and Computer Science Faculty Articles and Research
In recent years, Canada has faced a growing number of wildfires. These events have devastated ecosystems, displaced communities, and posed severe health risks. To minimize the damage caused by such disasters, this study aims to develop an early warning system that predicts wildfire occurrences. Two machine learning models for binary classification of wildfire occurrence in Canadian wild forests, Logistic regression and XGBoost, will be compared and evaluated. The models are used to predict the likelihood of wildfire events based on various environmental and climatic factors. The models are evaluated using a 70-30 split validation approach and their performance is assessed …
Decoding Teleconnection Impacts On Hydrological Switches In The Conus Using Wavelet Analysis, Surendra Maharjan, Wenzhao Li, Shahryar Fazli, Hesham Morgan, Hesham El-Askary
Decoding Teleconnection Impacts On Hydrological Switches In The Conus Using Wavelet Analysis, Surendra Maharjan, Wenzhao Li, Shahryar Fazli, Hesham Morgan, Hesham El-Askary
Mathematics, Physics, and Computer Science Faculty Articles and Research
Hydrometeorological teleconnections are key drivers of hydrological processes, representing the influence of large-scale atmospheric circulation patterns on regional climates. Understanding these teleconnections provides crucial insights into the mechanisms underlying hydrometeorological phenomena, particularly hydrological switches—rapid transitions between extreme events such as droughts and floods. These switches have become increasingly prevalent across the contiguous United States (CONUS), fueled by climate variability and evolving atmospheric patterns. This study utilizes cross-wavelet transform analysis to examine the spatial and temporal dynamics of hydrological switches and their correlations with major teleconnection indices, including NAO, ONI, WP, PDO, PNA, and QBO. The findings indicate significant coherence between …
Assessing Meteorological Impacts On Hydrological Switches In The Conus, Surendra Maharjan, Wenzhao Li, Sujan Shrestha, Hesham El-Askary
Assessing Meteorological Impacts On Hydrological Switches In The Conus, Surendra Maharjan, Wenzhao Li, Sujan Shrestha, Hesham El-Askary
Mathematics, Physics, and Computer Science Faculty Articles and Research
Hydrological switches, defined as rapid transitions between extreme meteorological events such as droughts and floods, are becoming increasingly frequent across the contiguous United States (CONUS) due to climate variability. This study analyzes the spatial and temporal patterns of these hydrological switches and their correlation with large-scale meteorological indices, such as the Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI). Streamflow data from the US Geological Survey (USGS) is analyzed to investigate the impact of meteorological drivers on hydrological variability. Results indicate that regions dependent on snowmelt exhibit delayed hydrological responses to climatic conditions, while areas in the Eastern …
From Storm To Strength: Katrina's Legacy Of Health, Healing, And Hope, Lsu Health Sciences Center - New Orleans
From Storm To Strength: Katrina's Legacy Of Health, Healing, And Hope, Lsu Health Sciences Center - New Orleans
LSUHSC Hurricane Katrina Archive: Reports & Presentations
This is the schedule for "From Storm to Strength" Katrina Symposium organized by LSU Health New Orleans to commemorate the 20th Anniversary of Hurricane Katrina.
A speaker panel session was held each day from Monday, August 24, 2025 to Thursday, August 28, 2025 for LSU Health faculty, staff and guests to share their remembrances of the hurricane and its impact on the school, on the City, and on their lives.
Greening The Virtual: An Interdisciplinary Narrative Review On The Environmental Sustainability Of The Metaverse, Mousa Al-Kfairy
Greening The Virtual: An Interdisciplinary Narrative Review On The Environmental Sustainability Of The Metaverse, Mousa Al-Kfairy
All Works
As the Metaverse continues to evolve as a transformative digital ecosystem, its environmental implications remain insufficiently examined within academic discourse. Despite growing interest in its technological and societal impacts, there is a lack of comprehensive evaluations that synthesize existing knowledge on its sustainability potential. This interdisciplinary narrative review addresses this gap by critically exploring how Metaverse technologies intersect with environmental sustainability across key sectors, including education, healthcare, tourism, e-commerce, manufacturing, and urban development. Employing a narrative review methodology informed by a systematic selection of scholarly and industry sources, the study consolidates current practices, emerging opportunities, and notable trade-offs. While the …
Properties Of A Class Of Analytic Functions Associated With Exponentially Convex Functions, K. R. Karthikeyan, Elangho Umadevi, G. Thirupathi, Dharmaraj Mohankumar
Properties Of A Class Of Analytic Functions Associated With Exponentially Convex Functions, K. R. Karthikeyan, Elangho Umadevi, G. Thirupathi, Dharmaraj Mohankumar
All Works
Studies in univalent function theory comprising the exponential of differential characterizations are rarely considered. The prominent study in this direction is the study of so-called α-exponentially convex functions. Here we study a class of analytic functions which satisfy an analytic characterization influenced by the definition of the multiplicative derivative and α-exponentially convex functions. Integral representation and coefficient inequalities of the defined function class are the main results of the paper.
Ocean-Ice Sheet Interactions During Super-Interglacial Mis 31: Comparison Of Rock Magnetic Records From The Scotia Sea (59.1°S) And Fram Strait (76.5°N), Olga Libman-Roshal
Ocean-Ice Sheet Interactions During Super-Interglacial Mis 31: Comparison Of Rock Magnetic Records From The Scotia Sea (59.1°S) And Fram Strait (76.5°N), Olga Libman-Roshal
Theses, Dissertations and Culminating Projects
The mid-Pleistocene transition (MPT) was a period spanning ~1.2-0.7 Ma when glacial-interglacial cyclicity changed from 41 kyr obliquity paced to 100 kyr eccentricity paced cycles with increased glacial-interglacial contrast post-MPT. Marine Isotope Stage (MIS) 31 was a “super-interglacial” within the MPT and occurred in the recent geological past (1.08-1.06 Ma). During MIS 31, the tectonic configuration resembled the present day, but Earth’s orbital parameters were marked by maximum values of eccentricity and obliquity while atmospheric CO2 remained at pre-industrial levels (below 280 ppm). MIS 31 therefore offers a valuable baseline for testing the impacts of modern anthropogenic CO2 levels combined …