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Articles 18751 - 18780 of 1103269
Full-Text Articles in Entire DC Network
The Writing On The Wall: The Rise Of Applied Ai And The Life-Or-Death Choice Every Ceo Must Make Now, Gary Sheng, Ron Roberts
The Writing On The Wall: The Rise Of Applied Ai And The Life-Or-Death Choice Every Ceo Must Make Now, Gary Sheng, Ron Roberts
Digital Laboratory: Publisher of Internet Journal
Applied AI is putting AI to its highest and best use: running your organization as autonomously as possible so you can deliver value for humanity while maximizing the scale of the value. The economy is splitting. Organizations that adopt applied AI are expanding their capacity, accelerating their impact, and pulling ahead. Those that don't are quietly becoming irrelevant, not because they're doing bad work, but because the gap between what they can do and what the moment requires is widening every day. This is not a technology question. It is a leadership question. This paper is written for organizational leaders, …
“I’M So Hungry”: Assessing Stem Sensemaking Through Data-Informed Writing, Bailey Nafziger, Alesia Mickle Moldavan, Katie Brkich
“I’M So Hungry”: Assessing Stem Sensemaking Through Data-Informed Writing, Bailey Nafziger, Alesia Mickle Moldavan, Katie Brkich
Elementary & Special Education: Faculty Publications
To engage elementary learners in the complex task of STEM sensemaking, teachers must entice and inspire learners to ask questions, explore, and communicate their findings. This article shares a 5E/3D lesson designed and taught in our elementary science methods courses to model how preservice teachers can integrate literacy and mathematics into a science investigation for STEM sensemaking. We modified a traditional lesson on bird beak adaptations to have a differentiated, interdisciplinary writing component justified by data. We discuss why data-supported literacy is a non-negotiable in science education reforms and how teachers can differentiate tasks to make scientific writing more approachable …
Photoplethysmography For Measuring Cognitive Load In Xr Environments: A Systematic Review, Alya Alshehhi, Qammer H. Abbasi, Rami Ghannam
Photoplethysmography For Measuring Cognitive Load In Xr Environments: A Systematic Review, Alya Alshehhi, Qammer H. Abbasi, Rami Ghannam
School of Engineering Technology Faculty Publications
Photoplethysmography (PPG) is a low-cost, low-power biosensing technology with growing applications in education, particularly for monitoring cognitive load in eXtended Reality (XR) learning environments. Measuring cognitive load is critical for preventing overload and optimising immersive learning, yet existing approaches such as self-reports or Electroencephalography (EEG) are often intrusive, costly or impractical for real-time use. This systematic review is the first to synthesize a decade of research (2015–2025) on the use of PPG for cognitive load measurement in XR. Twenty-three studies were identified and analysed according to PRISMA guidelines, with attention to sensor placement, integration with other modalities, research design, and …
Marine Vehicle Dynamics Using Koopman Operator Theory With Hybrid Observables, Mikhalib A L Green
Marine Vehicle Dynamics Using Koopman Operator Theory With Hybrid Observables, Mikhalib A L Green
LSU Master's Theses
Accurate modeling of marine vehicle dynamics remains challenging due to strong nonlinear hydrodynamic effects, environmental disturbances, and sensitivity to configuration changes, particularly for small-scale platforms. Classical physics-based models require extensive parameter identification and often exhibit degraded performance outside narrow operating regimes, while purely data-driven approaches may lack structure or impose high computational cost. This thesis presents a data-driven Koopman operator framework with hybrid observables for modeling the dynamics of unmanned marine vehicles. The proposed approach combines structured monomial observables with a learned neural network embedding to construct a lifted state representation in which the nonlinear vehicle dynamics are approximated by …
Large-Scale File Fragment Classification Via Multi-View Learning, Samuel Hildebrand
Large-Scale File Fragment Classification Via Multi-View Learning, Samuel Hildebrand
LSU Master's Theses
File reassembly is one of the most fundamental tasks in digital forensics, enabling recovery of data from potentially damaged storage media even when file system metadata is unavailable. This thesis reviews more than two decades of work in the realm of file carving, with a particular focus on fragmented file carving, which remains a focus of research, and file fragment classification, a principal component of fragmented file carving. This thesis serves a literature review of both file carving and fragmented file carving, surveys the massive amounts of data needed for the task of fragment classification and the datasets that serve …
Comparison Of Heavy Metal Accumulation In Soil And Wood Core Within Tallassee And Tuskegee, Alabama, Alicia R. Wilson, Brianna Smith, Latricia Miller, Rashidah Farid
Comparison Of Heavy Metal Accumulation In Soil And Wood Core Within Tallassee And Tuskegee, Alabama, Alicia R. Wilson, Brianna Smith, Latricia Miller, Rashidah Farid
Professional Agricultural Workers Journal
Heavy metals are natural components of the environment and can be relatively non-impactful in low concentrations. However, high concentrations of heavy metal toxicity can result in air, water, and soil contamination that adversely impacts environmental, human, and wildlife health. This study focuses on detecting the presence of heavy metals in soil, Loblolly Pine tree bark, and wood core samples from sites near a landfill in the Tallassee, Alabama, community and a post-agricultural site in Tuskegee, Alabama. It has been hypothesized that heavy metals are present in soil, tree bark, and the tree’s wood core from sampling sites. Samples were taken …
Impact Of In-Depth Adoption Of System Of Rice Intensification On Food Security Of Smallholder Farm Households In Mali, Moussa Macalou, John Baptist D. Jatoe
Impact Of In-Depth Adoption Of System Of Rice Intensification On Food Security Of Smallholder Farm Households In Mali, Moussa Macalou, John Baptist D. Jatoe
Professional Agricultural Workers Journal
The system of rice intensification (SRI) was implemented in Mali to boost rice productivity. The objectives of this paper are to identify the constraints faced by SRI adopters, estimate the food security index, and assess the impact of in-depth adoption of SRI on smallholder farm households’ food security. The study uses Kendall’s ranking to rank the six main constraints identified from the literature. The study uses the Household Food Insecurity Access Scale to estimate households’ food security index. Using primary data collected on rice farm households, the study combines the multivalued treatment effect inverse probability weighted regression adjustment and the …
Evaluation Of Two Varieties Of Okra (Abelmoschus Esculentus (L. Moench) Growth In A Wiregrass Tunnel House And Field, James E. Currington Sr, Victor Khan, Billie Grant, George X. Hunter, Raymon Shange, Cassandra Searight, Edward Sparks, Jeffery Moore, James E. Currington Iii
Evaluation Of Two Varieties Of Okra (Abelmoschus Esculentus (L. Moench) Growth In A Wiregrass Tunnel House And Field, James E. Currington Sr, Victor Khan, Billie Grant, George X. Hunter, Raymon Shange, Cassandra Searight, Edward Sparks, Jeffery Moore, James E. Currington Iii
Professional Agricultural Workers Journal
“Clemson Spineless” and “Jambalaya” okra were grown in a Tunnel House and field to compare yield and other growth parameters. A split-plot design with three replications/treatment was used; the Tunnel House and field were main plots, and varieties split plot. Plant height was significantly taller, and pod harvesting began two weeks earlier in the Tunnel House. Yield showed no significant differences between varieties, and Tunnel House vs. field-produced okra. However, “Clemson Spineless” produced 9% higher pod yield in the Tunnel House than “Jambalaya,” which had 23% higher field yield than “Clemson Spineless.” An enterprise budget analysis showed that Tunnel House …
Scaling Sustainable Propellants To Address Rocket Emissions: Lessons From The U.S. Aviation Industry, Zhizhou (Josie) Liu
Scaling Sustainable Propellants To Address Rocket Emissions: Lessons From The U.S. Aviation Industry, Zhizhou (Josie) Liu
Duke Law & Technology Review
The rapid growth of the U.S. commercial space industry has exposed a profound regulatory gap in addressing rocket emissions. By releasing greenhouse gases and particulates like black carbon, alumina, and water vapor, rocket launches not only contribute to climate change but also accelerate stratospheric ozone depletion. The U.S. aviation industry encountered similar environmental challenges decades ago, which eventually prompted legal and policy frameworks to curtail aviation emission through sustainable fuel technologies. Unlike aviation, however, the space industry now operates in a legal vacuum, with no binding international environmental standards or domestic regulations targeting rocket atmospheric pollution. As rocket emissions penetrate …
“For Us, Drones Mean Health”: How Medical Drone Delivery Affects Healthcare Outcomes, Accessibility, And Trust In Remote Regions Of Madagascar, Brianne O'Sullivan, Christallin Lydovick Rakotoasy, Lorie Donelle Phd, Rn, Fcan, Nicole Haggerty, Elysée Nouvet
“For Us, Drones Mean Health”: How Medical Drone Delivery Affects Healthcare Outcomes, Accessibility, And Trust In Remote Regions Of Madagascar, Brianne O'Sullivan, Christallin Lydovick Rakotoasy, Lorie Donelle Phd, Rn, Fcan, Nicole Haggerty, Elysée Nouvet
Faculty Publications
Medical drone delivery (MDD), defined as the use of uncrewed aerial vehicles to transport medical products, is an emerging technological innovation responding to persistent health supply chain challenges in rural and low-resource settings. Within sub-Saharan Africa, MDD systems have demonstrated large-scale success in improving key health outcomes, health supply chain efficiency, and reductions in medical product stockouts and wastage. However, the existing evidence base on the effectiveness of this technology is dominated by quantitative, performance-based evaluations, with limited emphasis on the community-driven mechanisms that shape such outcomes. Drawing on original qualitative research, this article presents a qualitative secondary analysis (QSA) …
Synthetic Lethality Between Rb-Loss And E2f3 Inhibition In Small Cell Cancers Targeted By Pyrimidine Synthesis Blockade, Evan R. Abt, Liang Wang, Grigor Varuzhanyan, Jack Freeland, Tian He, Guadalupe M. Peña-Garcia, Lauryn Ruegg, Jami Mclaughlin, Donghui Cheng, Nikolas G. Balanis, Chia-Chun Chen, Yang Xu, Yi Xing, Sanaz Memarzadeh, Caius G. Radu, Thomas G. Graeber, Owen N. Witte
Synthetic Lethality Between Rb-Loss And E2f3 Inhibition In Small Cell Cancers Targeted By Pyrimidine Synthesis Blockade, Evan R. Abt, Liang Wang, Grigor Varuzhanyan, Jack Freeland, Tian He, Guadalupe M. Peña-Garcia, Lauryn Ruegg, Jami Mclaughlin, Donghui Cheng, Nikolas G. Balanis, Chia-Chun Chen, Yang Xu, Yi Xing, Sanaz Memarzadeh, Caius G. Radu, Thomas G. Graeber, Owen N. Witte
Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers
Small cell carcinoma is a highly lethal cancer variant often found with neuroendocrine (NE) features, as exemplified by small cell lung cancer and small cell NE prostate cancer (SCPC). A genome-wide CRISPR dependency screen using SCPC models generated through human prostate cell transformation identifies a requirement for the transcription factor E2F3. E2F3 dependency is linked to RB inactivation, a near universal occurrence across small cell cancers. The requirement for E2F3 is shared by RB-deficient cells originating from the prostate, lung, and adnexa. In RB-deficient cancer cells, E2F3 inhibition restrains cell cycle progression, proliferation, and tumor growth in vivo. Inhibition of …
Draft Final Butte Priority Soils Operable Unit (Bpsou) Insufficiently Reclaimed Sites Bres No. 30 – Atlantic 1 Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.
Draft Final Butte Priority Soils Operable Unit (Bpsou) Insufficiently Reclaimed Sites Bres No. 30 – Atlantic 1 Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Revised Draft Final Butte Priority Soils Operable Unit (Bpsou) Insufficiently Reclaimed Sites Josephine Shaft (Bres No. 37) Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.
Revised Draft Final Butte Priority Soils Operable Unit (Bpsou) Insufficiently Reclaimed Sites Josephine Shaft (Bres No. 37) Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Rock Creek Cattle Company Borrow Submittal #2 (Dated February 4, 2026), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
The George-Anne Daily, Georgia Southern University
The George-Anne Daily, Georgia Southern University
George-Anne Media Group: Newsletters & Magazines
No abstract provided.
The George-Anne Inkwell Edition, Georgia Southern University
The George-Anne Inkwell Edition, Georgia Southern University
The Inkwell
No abstract provided.
Butte Priority Soils Operable Unit Final Butte Hill Revegetation Specifications, Mike Mcanulty
Butte Priority Soils Operable Unit Final Butte Hill Revegetation Specifications, Mike Mcanulty
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Opioid Overdose Associations In The United States Among Pregnant And Postpartum Women During 2019-2023, Permecia Winston-Dixon
Opioid Overdose Associations In The United States Among Pregnant And Postpartum Women During 2019-2023, Permecia Winston-Dixon
Walden Dissertations and Doctoral Studies
The rising trend of opioid-involved overdose deaths among pregnant and postpartum women in the United States from 2019 to 2023 represents a pressing public health issue. This population faces increasing risk due to opioid use and co-occurring mental health conditions, yet remains underrepresented in research. The purpose of this quantitative study was to examine the association between opioid involvement among pregnancy-associated overdose deaths, while controlling for pandemic periods (pre-COVID: 2019, peak COVID: 2020–2021, post-peak COVID: 2022–2023). Grounded in the syndemic theory, this study addressed two research questions Grounded in syndemic theory, this study addressed two research questions focused on opioid-involved …
Cdj-Pontryagin Optimal Control For General Continuously Monitored Quantum Systems, Tathagata Karmakar, Andrew N. Jordan
Cdj-Pontryagin Optimal Control For General Continuously Monitored Quantum Systems, Tathagata Karmakar, Andrew N. Jordan
Mathematics, Physics, and Computer Science Faculty Articles and Research
The Chantasri-Dressel-Jordan (CDJ) stochastic path integral formalism (Chantasri et al. 2013 and 2015) characterizes the statistics of the readouts and the most likely conditional evolution of continuously monitored quantum systems involving a few qubits or quantum harmonic oscillators in Gaussian states. In our work, we generalize the CDJ formalism to arbitrary continuously monitored systems by introducing a costate operator. We then prescribe a generalized Pontryagin's maximum principle for quantum systems undergoing arbitrary evolution and find conditions on optimal control protocols. We show that the CDJ formalism's most likely path can be cast as a quantum Pontryagin's maximum principle, where the …
Kernel And Weakly Ultra-Separated Relationship With Separation Axioms In Stable Neutrosophic Crisp Topological Spaces, Nour M. Easi, L. A. A.Jabar, Ali H. M.Al-Obaidi
Kernel And Weakly Ultra-Separated Relationship With Separation Axioms In Stable Neutrosophic Crisp Topological Spaces, Nour M. Easi, L. A. A.Jabar, Ali H. M.Al-Obaidi
Neutrosophic Sets and Systems
No abstract provided.
Computational Study Of Fuzzy Neutrosophic Soft Matrices In Python: Consistency And Weak Transitivity, M Kavitha, Sive M, P Murugadas, K Rameshware
Computational Study Of Fuzzy Neutrosophic Soft Matrices In Python: Consistency And Weak Transitivity, M Kavitha, Sive M, P Murugadas, K Rameshware
Neutrosophic Sets and Systems
No abstract provided.
Multi-Attribute Decision-Making For Road Slope Treatment Selection Based On Spherical Single-Valued Neutrosophic Value Triangular Aggregation Operators, Jun Ye, Jibo Qin
Multi-Attribute Decision-Making For Road Slope Treatment Selection Based On Spherical Single-Valued Neutrosophic Value Triangular Aggregation Operators, Jun Ye, Jibo Qin
Neutrosophic Sets and Systems
No abstract provided.
N-Cylindrical Neutrosophic M-Open Sets, Anandhi S, Vijayalakshmi R, Shantha Lakshmi K
N-Cylindrical Neutrosophic M-Open Sets, Anandhi S, Vijayalakshmi R, Shantha Lakshmi K
Neutrosophic Sets and Systems
No abstract provided.
Exploring The Structural Aspects Of Interval-Valued Intuitionistic Neutrosophic Fuzzy Ẑ-Subalgebra, K. P. Shanmugapriya, P. Hemavathi, M. Al-Labadi, S. Khalil, A. E. Kadhm, Qays H. Imran
Exploring The Structural Aspects Of Interval-Valued Intuitionistic Neutrosophic Fuzzy Ẑ-Subalgebra, K. P. Shanmugapriya, P. Hemavathi, M. Al-Labadi, S. Khalil, A. E. Kadhm, Qays H. Imran
Neutrosophic Sets and Systems
No abstract provided.
Entropy Generation In Emhd Hybrid Nanofluids: A Neutrosophic Approach With Thermal Radiation And Melting Effects, Srinivasan J, Balakrishnan S, Kanchana M
Entropy Generation In Emhd Hybrid Nanofluids: A Neutrosophic Approach With Thermal Radiation And Melting Effects, Srinivasan J, Balakrishnan S, Kanchana M
Neutrosophic Sets and Systems
No abstract provided.
Eoq Model For Deteriorating Items With Exponential Demand Rate, Price Dependence And Shortages Under Trapezoidal And Neutrosophic Fuzzy Techniques, Partha Ray, Agniva Dey, Somen Seal
Eoq Model For Deteriorating Items With Exponential Demand Rate, Price Dependence And Shortages Under Trapezoidal And Neutrosophic Fuzzy Techniques, Partha Ray, Agniva Dey, Somen Seal
Neutrosophic Sets and Systems
No abstract provided.
The Neutrosophic New Xlindley Distribution: Statistical Properties, Estimation, Simulation, And Application, Fatima Zohra Zeghbib, Halim Zeghdoudi
The Neutrosophic New Xlindley Distribution: Statistical Properties, Estimation, Simulation, And Application, Fatima Zohra Zeghbib, Halim Zeghdoudi
Neutrosophic Sets and Systems
No abstract provided.
E-Open Maps And Homeomorphisms In Fermatean Neutrosophic Topological Spaces With Applications To Entropy Measures, Vadivel A, Thamilarasi P, Priya S, P. Periyasamy
E-Open Maps And Homeomorphisms In Fermatean Neutrosophic Topological Spaces With Applications To Entropy Measures, Vadivel A, Thamilarasi P, Priya S, P. Periyasamy
Neutrosophic Sets and Systems
No abstract provided.
Smart Computing And Decision Support With Neutrosophic Ranked Soft Sets, Nisar Ahmad, Husniyah Alzubaidi, Raga Idress, Sultan S. Alodhaibi, Hamiden Abd El-Wahed Khalifa, Hakeem A. Othman
Smart Computing And Decision Support With Neutrosophic Ranked Soft Sets, Nisar Ahmad, Husniyah Alzubaidi, Raga Idress, Sultan S. Alodhaibi, Hamiden Abd El-Wahed Khalifa, Hakeem A. Othman
Neutrosophic Sets and Systems
No abstract provided.