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Articles 5911 - 5940 of 291712

Full-Text Articles in Physical Sciences and Mathematics

Hiding Behind A Curtain Of Dust: Gas And Dust Properties Of An Ultra-Luminous Strongly-Lensed Z = 3.75 Galaxy Behind The Milky Way Disc, Belén Alcalde Pampliega, Kevin C. Harrington, Aristeidis Amvrosiadis, Manuel Aravena, Min S. Yun, Hugo Messias, Antonio Hernán-Caballero, Leindert Boogaard, Axel Weiß, Benjamin Beauchesne, Alejandro Santamaría-Miranda, Monica Ivette Rodriguez, Eric Jiménez-Andrade, Manuel Solimano, James Lowenthal, Patrick Kamieneski, Q. Daniel Wang, Chentao Yang, Amit Vishwas, Pascale Hibon, Brenda Frye, Jorge González-Lopez, Yiqing Song, Meghana Killi Feb 2026

Hiding Behind A Curtain Of Dust: Gas And Dust Properties Of An Ultra-Luminous Strongly-Lensed Z = 3.75 Galaxy Behind The Milky Way Disc, Belén Alcalde Pampliega, Kevin C. Harrington, Aristeidis Amvrosiadis, Manuel Aravena, Min S. Yun, Hugo Messias, Antonio Hernán-Caballero, Leindert Boogaard, Axel Weiß, Benjamin Beauchesne, Alejandro Santamaría-Miranda, Monica Ivette Rodriguez, Eric Jiménez-Andrade, Manuel Solimano, James Lowenthal, Patrick Kamieneski, Q. Daniel Wang, Chentao Yang, Amit Vishwas, Pascale Hibon, Brenda Frye, Jorge González-Lopez, Yiqing Song, Meghana Killi

Astronomy: Faculty Publications

We present a detailed analysis of J154506, a strongly lensed submillimetre galaxy (SMG) behind the Lupus-I molecular cloud, and a characterisation of its physical properties using a combination of new and archival data, including VLT/MUSE and FORS2 optical data. We identify two high-significance (S/N >5) emission lines at 97.0 and 145.5 GHz, corresponding to CO(4-3) and CO(6-5), respectively, in spectral scans from the Atacama Compact Array (ACA) and the Large Millimetre Telescope (LMT), as well as the [CII] 158 µm fine-structure line at 400 GHz observed with the Atacama Pathfinder Experiment (APEX). These detections yield a spectroscopic redshift of …

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Ai Scribe Use In Residency Training: A Call For Specialty Society Guidance In Graduate Medical Education, Julia A. Giordano, Elizabeth Jones Feb 2026

Ai Scribe Use In Residency Training: A Call For Specialty Society Guidance In Graduate Medical Education, Julia A. Giordano, Elizabeth Jones

Department of Dermatology and Cutaneous Biology Faculty Papers

Artificial intelligence (AI) is increasingly used for documentation purposes in clinical practice, yet guidance for resident use is limited. Given the substantial documentation burden on medical trainees, AI-powered scribing tools may offer benefits, but their integration into residency training raises educational, supervisory, and patient safety considerations. This study aimed to assess the availability of resident-specific guidance on AI scribe use from major medical and specialty organizations and to summarize current evidence on AI scribes in residency. We reviewed five major medical and specialty society websites (AAD, AMA, ACGME, AAMC, ABMS) via website searches and direct emails and conducted a PubMed …

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Discovery Of Horsfieldia Macrothyrsa Bioactives With Cytotoxic Effects On Breast Cancer Cells Through In Vitro And Docking Analyses, Megawati Megawati, Akhmad Darmawan, Agus Budiawan Naro Putra, Kartika Dyah Palupi, Marissa Angelina, Ahmad Randy, Siska Andrina Kusumastuti, Faris Hermawan, Sumi Hudiyono Feb 2026

Discovery Of Horsfieldia Macrothyrsa Bioactives With Cytotoxic Effects On Breast Cancer Cells Through In Vitro And Docking Analyses, Megawati Megawati, Akhmad Darmawan, Agus Budiawan Naro Putra, Kartika Dyah Palupi, Marissa Angelina, Ahmad Randy, Siska Andrina Kusumastuti, Faris Hermawan, Sumi Hudiyono

Karbala International Journal of Modern Science

This study investigated the phytochemical constituents and biological activities of Horsfieldia macrothyrsa leaves to identify their bioactive compounds. Methanol extracts were fractionated using n-hexane and ethyl acetate, followed by silica gel column chromatography with a stepwise polarity gradient. From 100 g of powdered leaves, three major    compounds were successfully isolated from the ethyl acetate fraction: 1-(2,4,6-trihydroxyphenyl)dodecan-1-one (1), sesamin (2), and β-sitosterol (3). Their chemical structures were confirmed using UV, IR, LC–MS/MS, and NMR  spectroscopy. Biological activities of the fractions and isolates were evaluated through DPPH antioxidant assays, α-glucosidase inhibition for antidiabetic activity, MTT …

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Data Management Plans For Grant Proposals, Rubab Shahzad Feb 2026

Data Management Plans For Grant Proposals, Rubab Shahzad

Day Family Research Lab Workshop Series

Fundamentals of research data management and how to create effective Data Management Plans (DMPs) and Data Management Sharing Plans (DMSP)

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Exceptional Variety Of Baryte-Celestine-Series Speleothems In Lechuguilla Cave (New Mexico, Usa), Max Wisshak, Johannes Birkenstock, Andrea Schröder-Ritzrau, Norbert Frank, Hazel A. Barton, Harvey R. Duchene Feb 2026

Exceptional Variety Of Baryte-Celestine-Series Speleothems In Lechuguilla Cave (New Mexico, Usa), Max Wisshak, Johannes Birkenstock, Andrea Schröder-Ritzrau, Norbert Frank, Hazel A. Barton, Harvey R. Duchene

International Journal of Speleology

An inventory of speleothems primarily composed of the closely related sulfate minerals baryte (BaSO4) and celestine (SrSO4) in Lechuguilla Cave (New Mexico, USA) has revealed an extraordinary variety. This includes subaerial stalactites, stalagmites, flowstone, coralloids, wall crusts, floor crystals, snow, frostwork, and subaqueous pool crystals. Large baryte and celestine crystals have also been documented in hydrothermal veins in the host rock, predating the cave and truncated when intersected by it. The respective carbonate mineral phases witherite (BaCO3) and strontianite (SrCO3), in contrast, were found to be rare in the studied speleothem samples, …

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Cybersecurity In Higher Education Institutions: Awareness, Policy, And Experience On Employee Behaviour, Abdullahi Abiodun Yusuf, Adriana A. Steyn Feb 2026

Cybersecurity In Higher Education Institutions: Awareness, Policy, And Experience On Employee Behaviour, Abdullahi Abiodun Yusuf, Adriana A. Steyn

Journal of Cybersecurity Education, Research and Practice

The digital transformation of higher education institutions (HEIs) has introduced unprecedented connectivity and operational efficiency, but it has also heightened their exposure to cyber threats. South African HEIs, in particular, face increasing vulnerability due to their reliance on technology, openness, and diverse user communities. This study examines the influence of the institutional cybersecurity environment on employee cybersecurity-compliant behaviour (CCB), emphasising the critical roles of awareness, policy engagement, and experience. Drawing on Protection Motivation Theory and the Theory of Planned Behaviour, a conceptual model was developed to explore how cybersecurity awareness, policy familiarity, and prior experience shape employees’ attitudes, subjective norms, …

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How Principals Who Use Artificial Intelligence For Innovation Create Cognitive Equity While Principals Who Use Ai For Efficiency Create Cognitive Debt, Jethro Jones Feb 2026

How Principals Who Use Artificial Intelligence For Innovation Create Cognitive Equity While Principals Who Use Ai For Efficiency Create Cognitive Debt, Jethro Jones

Dissertations

This dissertation in practice examined whether a targeted professional learning   intervention could shift school leaders’ use of generative artificial intelligence (AI) from efficiency-oriented tasks toward innovation-oriented strategic problem solving. AI is typically adopted to accelerate existing routines, which can deepen “cognitive debt” by reinforcing ineffective practices rather than improving systems. This study advanced a “cognitive equity” frame, positioning AI as a tool that can expand principals’ cognitive capacity to address complex problems and lead adaptive change. Using a quasi-experimental, single-group design, the study evaluated a free, full-day AI for Innovation workshop, which emphasized foundational understanding of how AI tools work …

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A Theoretical Investigation Of The Linear And Nonlinear Optical Responses Of Scandium- And Yttrium-Doped (Sub-Nm) Ag And Au Clusters, Munish Sharma, Mukesh Jakhar, Ravindra Pandey, Shashi P. Karna Feb 2026

A Theoretical Investigation Of The Linear And Nonlinear Optical Responses Of Scandium- And Yttrium-Doped (Sub-Nm) Ag And Au Clusters, Munish Sharma, Mukesh Jakhar, Ravindra Pandey, Shashi P. Karna

Michigan Tech Publications

We investigate the linear and nonlinear optical properties of (sub-nm) Ag6 and Au6 clusters doped with Sc and Y using time-dependent density functional theory. Both parent clusters have D3h ground-state geometries but exhibit noticeably different electronic structures; scalar-relativistic corrections in Au6 induce significant s-d hybridization, resulting in larger HOMO-LUMO gaps and reduced one-photon absorption (OPA) cross-sections compared to Ag6. Two-photon absorption (TPA) peaks in the UV region show resonance enhancement via coupling with OPA-active states, with Ag6 having larger cross-sections than Au6. Doping with Sc and Y modifies the optical responses by breaking configurational symmetry and lifting HOMO degeneracies. ScAg5 …

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Design And Functionalization Of A Hierarchical Cu-Btc/Zeolite A4 Composite With Tannic Acid For High-Performance Heavy Metal Removal: Synergistic Adsorption Mechanisms, Kinetic Insights, And Reusability Evaluation, Samar A. Salim Feb 2026

Design And Functionalization Of A Hierarchical Cu-Btc/Zeolite A4 Composite With Tannic Acid For High-Performance Heavy Metal Removal: Synergistic Adsorption Mechanisms, Kinetic Insights, And Reusability Evaluation, Samar A. Salim

Nanotechnology Research Centre

This study presents the development of a novel multifunctional adsorbent Cu-BTC (HKUST-1)/Zeolite A4 composite functionalized with tannic acid—for the efficient removal of toxic heavy metal ions (Pb²⁺, Cd²⁺, Cr(VI)) from aqueous solutions. The composite was synthesized via a solvothermal process and systematically characterized by XRD, FTIR, SEM-EDS, and BET surface area analysis. The resulting material exhibited a high specific surface area (1050 m²/g), a hierarchical pore structure, and a homogeneous distribution of active sites. Batch adsorption experiments revealed superior adsorption capacities of 220 mg/g for Pb²⁺, 180 mg/g for Cd²⁺, and 150 mg/g for Cr(VI) at pH 6, surpassing those …

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Lake Powell And Lake Mead Are Moving In Opposite Directions -- What Gives?, Jack Schmidt, Eric Kuhn, Anne Castle, Kathryn Sorensen, Katherine Tara Feb 2026

Lake Powell And Lake Mead Are Moving In Opposite Directions -- What Gives?, Jack Schmidt, Eric Kuhn, Anne Castle, Kathryn Sorensen, Katherine Tara

The Traveling Wilburys of the Colorado River

No abstract provided.

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Monthly Progress Report Butte Priority Soils Operable Unit Consent Decree Partial Remedial Design/Remedial Action And Operation And Maintenance January 2026, Josh Bryson Feb 2026

Monthly Progress Report Butte Priority Soils Operable Unit Consent Decree Partial Remedial Design/Remedial Action And Operation And Maintenance January 2026, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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The Structure, Pathogenesis, And Inhibition Of The P53-Mdm2 Pathway, Amanda L. Brown, Xiaoying Lian, Qian Wang Feb 2026

The Structure, Pathogenesis, And Inhibition Of The P53-Mdm2 Pathway, Amanda L. Brown, Xiaoying Lian, Qian Wang

Faculty Publications

The p53 tumor suppressor protein plays a central role in maintaining genomic stability by regulating cell cycle arrest, apoptosis, and DNA repair under cellular stress. Mouse double minute 2 (MDM2), an E3 ubiquitin ligase, negatively regulates p53 via direct binding and proteasomal degradation. Overexpression or amplification of MDM2 can disrupt this pathway and promote tumorigenesis, even in cancers with wild-type p53. This review outlines the structural features of MDM2, particularly its N-terminal hydrophobic pocket and C-terminal RING domain, and their roles in p53 regulation. We further examine the pathological effects of MDM2 dysregulation and SNPs linked to increased cancer risk. …

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Project Risk Management In Ai-Enabled Systems: Managing Ethical, Privacy, And Governance Risks, Onome Cynthia Anakanire Feb 2026

Project Risk Management In Ai-Enabled Systems: Managing Ethical, Privacy, And Governance Risks, Onome Cynthia Anakanire

Harrisburg University Dissertations and Theses

This research examined how Artificial intelligence (AI) has been embedded in project-based work, particularly in finance and software industries, where it enables efficiency and assists in complex decision-making. However, these innovations introduce significant ethical, privacy, and governance risks that traditional project risk management frameworks fail to adequately address. This study investigated how project managers can systematically integrate the management of these emerging risks into AI-enabled projects. Using a qualitative research design, the study drew on semi-structured interviews with project managers, compliance officers, and AI developers in finance, software and related sectors. Supplementary data included internal project documentation and risk registers. …

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Selective Reversal Of Cu-Amyloid Aggregation Monitored In Real Time By Fluorescence Anisotropy: Ni-Bme-Dach Vs Edta Benchmarks, Alyssa N. Schroeder, Eleanor K. Adams, Dane C. Frost, Erica Lopez, Jennie R. Giacomini, Marilyn R. Mackiewicz Feb 2026

Selective Reversal Of Cu-Amyloid Aggregation Monitored In Real Time By Fluorescence Anisotropy: Ni-Bme-Dach Vs Edta Benchmarks, Alyssa N. Schroeder, Eleanor K. Adams, Dane C. Frost, Erica Lopez, Jennie R. Giacomini, Marilyn R. Mackiewicz

Chemistry Faculty Publications and Presentations

Metal dyshomeostasis, particularly involving Cu2+, is increasingly recognized as a key contributor to amyloid-β (Aβ) aggregation and neurotoxicity in Alzheimer’s disease, motivating the development of chelators capable of selectively disrupting pathogenic metal-Aβ interactions without perturbing essential biological metals. Here, we employ steady-state fluorescence anisotropy as a real-time probe of TAMRA-Aβ1–42 rotational mobility to quantify metal-induced aggregation and its reversibility by two chelators with distinct selectivities: EDTA, a broad-spectrum benchmark, and Ni-bme-dach, a sulfur-rich metallodithiolate with high Cu affinity. Cu2+ induces the most significant increases in anisotropy, consistent with rapid formation of large nanoscale aggregates, while Fe3+ produces moderate aggregation and …

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Tidychangepoint: A Unified Framework For Analyzing Changepoint Detection In Univariate Time Series, Ben Baumer, Biviana Marcela Suárez Sierra Feb 2026

Tidychangepoint: A Unified Framework For Analyzing Changepoint Detection In Univariate Time Series, Ben Baumer, Biviana Marcela Suárez Sierra

Statistical and Data Sciences: Faculty Publications

We present tidychangepoint, a new R package for changepoint detection analysis. Most R packages for segmenting univariate time series focus on providing one or two algorithms for changepoint detection that work with a small set of models and penalized objective functions, and all of them return a custom, nonstandard object type. This makes comparing results across various algorithms, models, and penalized objective functions unnecessarily difficult. tidychangepoint solves this problem by wrapping functions from a variety of existing packages and storing the results in a common S3 class called tidycpt. The package then provides functionality for easily extracting comparable numeric or …

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Understanding The 2016–2018 Freshening Dynamics Of The Beaufort Gyre Through Observations And Model Reanalysis, Christina Gregory, Ganesh Gopalakrishnan, Bulusu Subrahmanyam Feb 2026

Understanding The 2016–2018 Freshening Dynamics Of The Beaufort Gyre Through Observations And Model Reanalysis, Christina Gregory, Ganesh Gopalakrishnan, Bulusu Subrahmanyam

Faculty Publications

The Beaufort Gyre (BG) in the Arctic Ocean has experienced rapid changes in losing extensive amounts of sea-ice and undergoing freshening over the past few decades. In this study, we highlight important recent changes in BG’s surface circulation, and its impact on freshwater (FW) fluxes and freshwater content (FWC) and draw attention to the critical importance of continuous monitoring of BG dynamics. Using satellite observations of the upper ocean state and ocean and atmospheric reanalysis, here we attempt to understand the anomalous behavior of BG dynamics over the past few decades. In recent years, atmospheric forcings increasingly influenced important judications …

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Early Detection Of Infectious Diseases: A Review Of Recent Advances In Pathogen Identification, Molecular Tools, And Metabolomics-Driven Biomarker Discovery, Patrica Ivy Agorsor, Michael O. Eze Feb 2026

Early Detection Of Infectious Diseases: A Review Of Recent Advances In Pathogen Identification, Molecular Tools, And Metabolomics-Driven Biomarker Discovery, Patrica Ivy Agorsor, Michael O. Eze

Chemistry Faculty Research & Creative Works

The recent COVID-19 pandemic has heightened public interest in noninvasive methods for early diagnosis of infectious diseases. In addition, various government agencies have implemented "infectious disease preparedness" to mitigate future outbreaks. This review highlights conventional and advanced methods for infectious disease diagnosis with an emphasis on emerging mass spectrometry methods. Conventional methods for pathogen identification, such as culture-based techniques and molecular methods, have limitations with respect to sensitivity, specificity, and turnaround time. Recent advances in high-resolution mass spectrometry have revolutionized the field of infectious disease biomarker discovery. These techniques enable the comprehensive profiling of metabolites in various biological samples, identification …

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Probing Proximal Intramolecular Hydrogen Bonding Interactions On A Norbornane Scaffold, Carly A. Rock, Dakota B. Green, Martin J. Flores, Jeremy M. Carr, Thufail M. Ismail, Gregory S. Tschumper Feb 2026

Probing Proximal Intramolecular Hydrogen Bonding Interactions On A Norbornane Scaffold, Carly A. Rock, Dakota B. Green, Martin J. Flores, Jeremy M. Carr, Thufail M. Ismail, Gregory S. Tschumper

Chemistry Faculty Research & Creative Works

A systematic computational study was conducted on 12 unique 2,6-disubstituted norbornane derivatives to assess the ability of various acceptor groups (A = F, Cl, Br, OH, OCH3, SH, SCH3, NHCH3, N(CH3)2, PH2, PHCH3, and P(CH3)2) to engage in intramolecular hydrogen bonding with a proximal OH donor. 32 unique minima have been characterized with M06-2X and df-MP2 geometry optimizations as well as PNO-LCCSD(T)-F12 single point energy computations. Conformations with the OH donor oriented toward the acceptor to form an OH···A contact (+HB) consistently had lower electronic energies (by approximately 2 to 8 kcal mol–1) than their counterparts with the …

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The World's Largest Saddle Dam At Risk: Multisensor Geohazard Analysis And Downstream Impacts, Hesham El-Askary, Hesham Morgan, Surendra Maharjan, Ali Elgendy, Wenzhao Li, Rejoice Thomas, Austin Madson, Cyril Rakovski Feb 2026

The World's Largest Saddle Dam At Risk: Multisensor Geohazard Analysis And Downstream Impacts, Hesham El-Askary, Hesham Morgan, Surendra Maharjan, Ali Elgendy, Wenzhao Li, Rejoice Thomas, Austin Madson, Cyril Rakovski

Mathematics, Physics, and Computer Science Faculty Articles and Research

The Grand Ethiopian Renaissance Dam (GERD) Saddle Dam, which holds approximately 89% of the main reservoir's live storage, is one of the largest and most critical auxiliary dams globally; its construction on Ethiopia's Blue Nile has consequently raised significant regional and international concerns regarding potential environmental impacts and geohazard risks. This study presents a comprehensive risk assessment of the GERD Saddle Dam by integrating high-resolution satellite data (GRACE, Sentinel-1, Sentinel-2, WorldView-3), hydrological modeling (SWAT), Persistent Scatterer Interferometry (PSI), geospatial analysis, and advanced statistical techniques. The results highlight critical structural vulnerabilities, including groundwater infiltration estimated at approximately 41 ± 6.2 billion …

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2026 February 5 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University Feb 2026

2026 February 5 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

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Ecologic Factors Contributing To West Nile Virus Hyperendemicity In Central South Carolina: An Integrated Vector–Human–Environmental Study, Elba S. Fridriksson, Ahayla Muraleedharan, Kyndall C. Dye-Braumuller, Madeleine M. Meyer, Kia Zellars, Hiuxuan Li, Melissa S. Nolan Ph.D., Mph Feb 2026

Ecologic Factors Contributing To West Nile Virus Hyperendemicity In Central South Carolina: An Integrated Vector–Human–Environmental Study, Elba S. Fridriksson, Ahayla Muraleedharan, Kyndall C. Dye-Braumuller, Madeleine M. Meyer, Kia Zellars, Hiuxuan Li, Melissa S. Nolan Ph.D., Mph

Faculty Publications

West Nile virus (WNV) is an endemic arboviral infection in the United States that has undergone phyloge-netic evolution since its introduction 25 years ago. An integrated vector–human–pathogen study was conducted in the summer of 2023 to unearth contemporary Culex quinquefasciatus habitat patterns and human transmission spillover foci in South Carolina, a state with historically little WNV data. A serosurvey revealed WNV seroprevalence 10 times the national average (22% versus 2%, respectively), with unusual epidemiologic risk factors. Female Culex quinquefas-ciatus WNV positivity was low (2.7%), with viral phylogenetics 100% homologous to the WN02 clade. Mosquito vectors clustered in affluent urban neighborhoods …

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Sport Im Park, Imad Abu-Ghallous Feb 2026

Sport Im Park, Imad Abu-Ghallous

COD in Lingua

This essay explores the benefits of exercising in the park, emphasizing its health advantages and positive impact on well-being. The author describes weekly workouts with a group of U.S. Marines and personal training routines, highlighting the enjoyment of outdoor activity, fresh air, and natural surroundings. Exercising in the park is contrasted with indoor gym workouts, with outdoor exercise shown to enhance mood, energy, and motivation. The essay advocates incorporating park-based physical activity regularly into daily life for both personal health and social engagement.

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Atlantischer Papageitaucher (Fratercula Arctica), Natalie Derewjanko Feb 2026

Atlantischer Papageitaucher (Fratercula Arctica), Natalie Derewjanko

COD in Lingua

The Atlantic Puffin (Fratercula arctica) is a North Atlantic seabird known for its black-and-white plumage and bright orange bill. It breeds on coastal cliffs and islands, feeding chicks by diving for fish. Although still numerous, populations are declining due to climate change, overfishing, pollution, and predators. Conservation efforts like Audubon’s “Project Puffin” have successfully restored colonies, highlighting the importance of protecting nesting sites and food sources.

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Tuko Pamoja: Climate Perspectives From East Africa And Fulbright-Hays, Casey R. Schmitt Feb 2026

Tuko Pamoja: Climate Perspectives From East Africa And Fulbright-Hays, Casey R. Schmitt

Sustainability Research & Practice Seminar Presentations

Dr. Casey R. Schmitt, Interdisciplinary Studies, presents "Tuko Pamoja: Climate Perspectives from East Africa and Fulbright-Hays".

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Statistical Guarantees Of Deep Generative Models Involving Diverse Spaces: Generation Consistency And Robustness, Anish Chakrabarty Feb 2026

Statistical Guarantees Of Deep Generative Models Involving Diverse Spaces: Generation Consistency And Robustness, Anish Chakrabarty

Doctoral Theses

Generative modeling focuses on the task of producing new data samples that closely resemble those drawn from an original, unknown distribution. Despite being well-known in statistical estimation theory, the approach has gained substantial traction in recent years, driven by groundbreaking results in areas such as image synthesis, natural language generation, and network modeling. The complexity of modern-era data domains and the ensuing adaptations that suitable models must undergo have presented new challenges. These advances raise several fundamental questions, the first of which is: When do generative models accurately approximate the true data distribution? One may also ask: How well do …

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Cash Or Crash: Return To Player Percentages And Expected Value Of Crash Games, Robert H. Scott Iii, Mikhail M. Sher, Jonathan Daigle Feb 2026

Cash Or Crash: Return To Player Percentages And Expected Value Of Crash Games, Robert H. Scott Iii, Mikhail M. Sher, Jonathan Daigle

UNLV Gaming Research & Review Journal

Crash games are a new type of casino game offered on some online gambling sites. The first crash game was created by the online cryptocurrency casino Bustabit. Other cryptocurrency casinos started offering their own versions of crash games. Now mainstream online casinos have developed their own crash games—notably Rocket by DraftKings. Crash games are easy to learn and play. They offer the opportunity to increase your bet by many hundreds of multiples—though, as we show when deriving expected values, these outcomes are rare. In this paper, we study the history of crash games and calculate theoretical values of crash game …

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Flaplet: A Full-Stack Web Platform For End-To-End Time Series Data Processing And Machine Learning In Solar Flare Prediction, Mohammadreza Eskandarinasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi Feb 2026

Flaplet: A Full-Stack Web Platform For End-To-End Time Series Data Processing And Machine Learning In Solar Flare Prediction, Mohammadreza Eskandarinasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi

Computer Science Student Research

Solar flare prediction is a central challenge in space weather forecasting, with direct implications for satellite operations, aviation safety, and power grid reliability. Machine learning has achieved state-of-the-art performance for this task, particularly when applied to photospheric magnetic field parameters. FlaPLeT is an open-source, full-stack web platform that supports end-to-end machine learning workflows for multivariate time-series–based solar flare prediction without requiring any coding expertise. Built with React, Django, Celery, and PostgreSQL, the system integrates dataset preprocessing, data augmentation, functional network (graph) construction, and machine learning model training into modular asynchronous tasks that generate downloadable datasets, trained models, and structured JSON …

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On Robust Estimation Of Multivariate Location And Scale With Applications, Soumya Chakraborty Feb 2026

On Robust Estimation Of Multivariate Location And Scale With Applications, Soumya Chakraborty

Doctoral Theses

The principal objective of this thesis is, in a nutshell, to provide robust estimators of multivariate location and scale which have reasonable to high model efficiency but avoid high computational complexity so as to be practically useful in real problems. We utilize the minimum density power divergence (DPD) and the related philosophy to invoke robustness. There are some computational issues while minimizing the DPD in different multivariate set-ups. We will work on this problem rigorously and come up with three types of estimation procedures which are explicitly or implicitly related to the minimum DPD methodology, keeping the computational issue in …

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Silver Bow Creek Conservation Area Final Principles For A Greener Cleanup Report, Woodard & Curran Feb 2026

Silver Bow Creek Conservation Area Final Principles For A Greener Cleanup Report, Woodard & Curran

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Time And Water, Sheila Nayar Feb 2026

Time And Water, Sheila Nayar

Journal of Religion & Film

This is a film review of Time and Water (2026), directed by Sara Dosa.

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