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Articles 160861 - 160890 of 5202511
Full-Text Articles in Entire DC Network
In Re: Nfl Players Concussion Injury Litigation
In Re: Nfl Players Concussion Injury Litigation
2025 Decisions
USDC for the Eastern District of Pennsylvania
G. W. V. Ringwood Board Of Education
G. W. V. Ringwood Board Of Education
2025 Decisions
USDC for the District of New Jersey
Bridging The Gap: Strategies To Minimize Medication Delays And Enhance Interdisciplinary Collaboration In Hospital Settings, James Greenalch, Hector Murillo, Nantz Shelby Olson, Emma Putnam, Heidi Rodriguez, Jenna Stehly
Bridging The Gap: Strategies To Minimize Medication Delays And Enhance Interdisciplinary Collaboration In Hospital Settings, James Greenalch, Hector Murillo, Nantz Shelby Olson, Emma Putnam, Heidi Rodriguez, Jenna Stehly
2024
No abstract provided.
Fs Steering Committee Agenda 2025-08-27, Northern Illinois University
Fs Steering Committee Agenda 2025-08-27, Northern Illinois University
Faculty Senate Archives
No abstract provided.
Fs Steering Committee Minutes 2025-08-27, Northern Illinois University
Fs Steering Committee Minutes 2025-08-27, Northern Illinois University
Faculty Senate Archives
No abstract provided.
The Bg News August 27, 2025, Bowling Green State University
The Bg News August 27, 2025, Bowling Green State University
BG News (Student Newspaper)
The BGSU campus student newspaper. August 27, 2025. Volume 105-Issue 01.
An Economic Assessment Of Precision Conservation With On-Farm Precision Experiment Data, Karina A. Schoengold, Badri Khanal, Taro Mieno, David S. Bullock
An Economic Assessment Of Precision Conservation With On-Farm Precision Experiment Data, Karina A. Schoengold, Badri Khanal, Taro Mieno, David S. Bullock
Cornhusker Economics
Using a novel dataset that includes within field variation in productivity, we find that partial field retirement for a prairie strip can not only provide conservation benefits, but can also be economically beneficial. We note that these results are for a single field with one year of data, and that additional years of production and fields are essential to determine how much these results can be generalized. We also note that precision systems can be costly, and a comparison of outcomes with and without this information is essential to determine if investing in such systems is profitable. However, variable rate …
(Buck)Thorns In The Side Of Northeast Woodlands, Mark Wanner
(Buck)Thorns In The Side Of Northeast Woodlands, Mark Wanner
UNH Today Archive
No abstract provided.
Analysis Of Minimal And Maximal Closed Submsets In M-Topology, Rajish Kumar P, Sunil Jacob John, Baiju T.
Analysis Of Minimal And Maximal Closed Submsets In M-Topology, Rajish Kumar P, Sunil Jacob John, Baiju T.
Baghdad Science Journal
In the realm of mathematical analysis, the concept of a Multiset (in short mset), which allows for the inclusion of repeated elements within a collection, has garnered attention. This is particularly relevant in real-life scenarios where the presence of duplicates holds significance. The emergence of mset topology, a specialized branch of topology designed to accommodate the unique characteristics of msets, has provided a valuable framework for understanding the topological properties of these diverse collections. This paper delves into the nuanced exploration of mset topology, specifically focusing on various properties associated with minimal closed submsets and maximal closed submsets. These submsets …
Topological Indices And Quantitative Structure-Property Analysis Of Novel Drugs For Acute Lymphoblastic Leukemia Treatment, P. Nathiya, M. Suresh, Jalal Hatem Hussein Bayati
Topological Indices And Quantitative Structure-Property Analysis Of Novel Drugs For Acute Lymphoblastic Leukemia Treatment, P. Nathiya, M. Suresh, Jalal Hatem Hussein Bayati
Baghdad Science Journal
Acute lymphoblastic leukemia in children is a bone marrow and blood cancer. Healthy blood cells begin to change and grow out of control when leukemia initially occurs. Acute lymphoblastic leukemia (ALL) is an immune system-related malignancy of the lymphocytes, a subtype of white blood cells. The most common form of cancer affecting children is ALL. In this work, the topological indices are derived from the structure of a chemical graph, and predict the physical, chemical, and biological characteristics of several anticancer drugs. ALL are usually treated with drugs such as methotrexate, 6-mercaptopurine (6-MP), vincristine, L-asparaginase, and/or prednisone, etc., which are …
A Clustering Technique Based On The Hard K-Means (H.Km.) Method To Determine The Governorate That Have More Influence For Spreading Covid-19 In The Kingdom Of Saudi Arabia, Rand Muhaned Fawzi, Wurood R. Abd Al-Hussein, Iden Hassan Alkanani
A Clustering Technique Based On The Hard K-Means (H.Km.) Method To Determine The Governorate That Have More Influence For Spreading Covid-19 In The Kingdom Of Saudi Arabia, Rand Muhaned Fawzi, Wurood R. Abd Al-Hussein, Iden Hassan Alkanani
Baghdad Science Journal
The Kingdom of Saudi Arabia is the gathering place of most of the nationalities of the Islamic world. When a certain disease spreads, it will be important to know which governorate has the greatest influence on the spread of the disease and take the necessary precautions to limit its spread, and this is the goal of this study. COVID-19, The SRS-COV-2 coronavirus that caused the most recent pandemic is known as the Corona pandemic. To determine which Saudi governorates had the greatest influence on the epidemics spread, data was gathered for thirteen governorates over two months (July and August). The …
A New Approach For Selecting Optimal Neuron Number In Input Layer Of Generalized Regression Neural Network Model, Muhammad Muhajir, Hermansah Hermansah, Aditya Pandu Wicaksono, Lathifah Aliya Pratiwi
A New Approach For Selecting Optimal Neuron Number In Input Layer Of Generalized Regression Neural Network Model, Muhammad Muhajir, Hermansah Hermansah, Aditya Pandu Wicaksono, Lathifah Aliya Pratiwi
Baghdad Science Journal
This study aimed to determine the input layer neurons for the Generalized Regression Neural Network (GRNN) model by using various classical methods, namely 1) Partial Autocorrelation Function (PACF), 2) frequency-based method, 3) frequency and Forward Selection (FS), 4) frequency and Backward Elimination (BE), 5) frequency and step-based methods, and 6) frequency method combined with the Least Absolute Shrinkage and Selection Operator (LASSO). These classical methods were combined with various parameters within GRNN, including smoothing parameters, forecasting strategies, and transformations. The most accurate model, with the lowest RMSE, MAE, MAPE, and SMAPE values, resulted from the combination of frequency and BE, …
Psacovid: Parallel Segmentation Architecture For Localization And Contagion Quantification Of Covid-19 Pneumonia In Chest Computed Tomography Imaging, Payman Hussein Hussan, Israa Hadi Ali
Psacovid: Parallel Segmentation Architecture For Localization And Contagion Quantification Of Covid-19 Pneumonia In Chest Computed Tomography Imaging, Payman Hussein Hussan, Israa Hadi Ali
Baghdad Science Journal
Early and precise detection of Coronavirus related anomalies in lung computed tomography scans is necessary for implementing preventive measures and initiating proper treatment. However, the procedure of visually examining lung computed tomography (CT) images is demanding particularly when it comes to detecting tiny anomalies. This work intends to use artificial intelligence (AI) to help radiologists improve their illness diagnostic efficacy in reading computed tomography images by localizing, detecting, and quantifying COVID-19 pulmonary lesion severity to predict patient outcomes. A public dataset has been acquired from 20 Corona patients, which includes manually annotated lung and infection masks, to train a parallel …
A Comparative Of Detecting Physical And Cyber Attacks On Drones Using Machine Learning And Deep Learning Techniques, Khattab M Ali Alheeti, Sara Abbas Rafa, Maha Mahmood, Aythem Khairi Kareem, Mohammad Aljanabi, Ahmed Adil Nafea
A Comparative Of Detecting Physical And Cyber Attacks On Drones Using Machine Learning And Deep Learning Techniques, Khattab M Ali Alheeti, Sara Abbas Rafa, Maha Mahmood, Aythem Khairi Kareem, Mohammad Aljanabi, Ahmed Adil Nafea
Baghdad Science Journal
Multitudes of Unmanned Aerial Vehicles (UAVs) are generally embraced in military and civilian applications. Yet, this physical-cyber method is intimidated by cyber-attacks. Recently, Machine Learning (ML) based attacks detection approaches have been effectively embraced to detect cyber-attacks. This paper presented the Intrusion Detection Security (IDS) approach. The proposed approach investigates UAVs' cyber and physical attributes under normal process and attack circumstances. Two types of cyber-attacks have been classified: Denial-of-service (DoS) and replay. This study developed IDS approaches established on ML and Deep Learning (DL) prototypes, including Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Naive Bayes (NB), and One Dimensional Convolutional …
An Efficient Glaucoma Classification For Fundus Images By Pre-Trained Deep Cnns And Accuracy-Weighted Voting Classifier Fusion, Salam Jabbar Edan, Mohammad-Reza Feizi-Derakhshi
An Efficient Glaucoma Classification For Fundus Images By Pre-Trained Deep Cnns And Accuracy-Weighted Voting Classifier Fusion, Salam Jabbar Edan, Mohammad-Reza Feizi-Derakhshi
Baghdad Science Journal
Glaucoma, a chronic eye disease characterized by progressive optic nerve damage, remains a significant public health concern worldwide. Early and accurate diagnosis is crucial for timely intervention and preventing irreversible vision loss. In this paper, developed an approach for glaucoma classification utilizing pre-trained convolutional neural networks (CNNs), specifically ResNet-101, ResNet-18, and DarkNet-19. Also employed accuracy-based weighted voting as a classifier fusion technique. Leveraging the capabilities of these CNN architectures, extract high-level features from retinal fundus images and apply transfer learning to adapt the networks for glaucoma classification. Leveraging the capabilities of these CNN architectures, extract high-level features from retinal fundus …
Accurate Skin Lesion Segmentation Through Feature Fusion In Dermoscopy Images, Fallah H. Najjar, Farhan Mohamed, Asniyani Nur Haidar Abdullah, Mohd Shafry Mohd Rahim, Karrar A. Kadhim
Accurate Skin Lesion Segmentation Through Feature Fusion In Dermoscopy Images, Fallah H. Najjar, Farhan Mohamed, Asniyani Nur Haidar Abdullah, Mohd Shafry Mohd Rahim, Karrar A. Kadhim
Baghdad Science Journal
In the diagnosis of skin cancer, dermoscopy images have to be evaluated for feature extraction. In this paper, the authors design a new method to enhance the skin dermoscopy image segmentation accuracy by eliminating artifacts and hair using photometric quasi-invariants, followed by a unique approach for skin lesion segmentation using histogram-based feature fusion. Histogram features are used to extract data range and mean images from the histogram, and these are fused with the free artifacts and hair image to generate the final image. the authors used the PH2 dataset for the proposed segmentation method because it contains the ground truth …
When Positive Sentiment Is Not So Positive: Textual Analytics And Bank Failures, Aparna Gupta, Cheng Lu, Majeed Simaan, Mohammed J. Zaki
When Positive Sentiment Is Not So Positive: Textual Analytics And Bank Failures, Aparna Gupta, Cheng Lu, Majeed Simaan, Mohammed J. Zaki
Department of Accounting and Finance Faculty Scholarship and Creative Works
We examine U.S. publicly traded bank holding companies (BHCs) that failed during the 2007–2009 global financial crisis. Using consolidated data at the BHC level and 10-K filings, we investigate the determinants of bank failures during this period using nonlinear machine learning (ML). The in-sample analysis demonstrates that 90% of the failed banks can be classified during 2007–2009. In addition, our sensitivity analysis for interpretable ML shows that net tone is among the top five important features. However, the power of tone/text is less evident when we consider predictive (out-of-sample) analysis. While nonlinear ML models such as random forest and support …
State Of Hawaii Cannabis Testing, University Of Mississippi – National Center For Cannabis Research And Education, Yasha Kahn, Mcr Labs
State Of Hawaii Cannabis Testing, University Of Mississippi – National Center For Cannabis Research And Education, Yasha Kahn, Mcr Labs
Hawaii
No abstract provided.
Abdulmalik Abdulla V. Attorney General United States
Harbor Business Compliance Corp V. Firstbase Io Inc
Harbor Business Compliance Corp V. Firstbase Io Inc
2025 Decisions
USDC for the Eastern District of Pennsylvania
August 27, 2025 Blazer Weekly, University Of Alabama At Birmingham
August 27, 2025 Blazer Weekly, University Of Alabama At Birmingham
Blazer Weekly (student newsletter)
No abstract provided.
Swift/Kelce Star Power Effect? Engagement Created A 96% Increase In Nfl Discussion Online With 82% Of Social Media Posts Expressing “Joy” About The Couple, Yi Luo, Jin-A Choi, Bond Benton
Swift/Kelce Star Power Effect? Engagement Created A 96% Increase In Nfl Discussion Online With 82% Of Social Media Posts Expressing “Joy” About The Couple, Yi Luo, Jin-A Choi, Bond Benton
College of Communication and Media Scholarship and Creative Works
On August 27, 2025, Grammy winning singer Taylor Swift and football champion Travis Kelce announced their engagement. Celebrity couples inspire popular reactions with commercial implications. A research study from the Joetta Di Bella and Fred C. Sautter III Center for Strategic Communication in the College of Communication and Media at Montclair State University analyzed online reaction in the period immediately after the power couple’s engagement was announced. Results suggest overwhelming interest, positivity, and potential benefits to major brands, such as the National Football League. Findings include a 96% increase in brand references for the NFL and Kansas Chiefs on social …
Summer Diary, Eric F. Spina
Summer Diary, Eric F. Spina
President's Blog: From the Heart
True or false? Life at the University of Dayton in the summer moves at a slower pace untilthe adrenaline rush of a new academic year kicks in at the end of August.
Five Faculty Join The College Of Arts And Humanities, Lindenwood University
Five Faculty Join The College Of Arts And Humanities, Lindenwood University
Archived Lindenwood Press Releases
No abstract provided.
2025-08-12 Executive Council Minutes, Susie Salazar
2025-08-12 Executive Council Minutes, Susie Salazar
Executive Council Minutes
No abstract provided.
2025-07-22 Executive Council Minutes, Susie Salazar
2025-07-22 Executive Council Minutes, Susie Salazar
Executive Council Minutes
No abstract provided.
2025-06-17 Executive Council Minutes, Susie Salazar
2025-06-17 Executive Council Minutes, Susie Salazar
Executive Council Minutes
No abstract provided.
The Illusion Of Internal Models In Biological Movement, Madhur Mangalam
The Illusion Of Internal Models In Biological Movement, Madhur Mangalam
Journal Articles
The concept of internal models dominates contemporary theories of sensorimotor control, with researchers across neurosciences, specifically motor control, routinely explaining observed behaviors through computational representations that supposedly exist within the nervous system. In this perspective, I present a critical examination of internal model frameworks in sensorimotor control. I argue that representational approaches mischaracterize biological systems for several fundamental reasons: (1) Internal models require homuncular interpreters, creating infinite regress problems; (2) The purported neural implementations of internal models remain empirically elusive despite decades of research; (3) Biological movement systems exhibit multiscale, nonlinear, and non-Gaussian dynamics that fundamentally defy reduction to conventional …
Student Senate Meeting Minutes August 27, 2025, Student Senate-Winona State University
Student Senate Meeting Minutes August 27, 2025, Student Senate-Winona State University
Student Senate Meeting Minutes
This document is the official Winona State University Student Senate Minutes for August 27, 2025.