Digital Commons Network^™

State Of Nevada Cannabis Testing, University Of Mississippi – National Center For Cannabis Research And Education, Yasha Kahn, Mcr Labs

Nevada

No abstract provided.

State Of California Cannabis Reporting, University Of Mississippi – National Center For Cannabis Research And Education

California

No abstract provided.

Multimodel And Multidiagnostic Ensemble-Based Deep Convective Area Forecast For Aviation Operations Using The Global Unified Model And Korean Integrated Model, Yi-June Park, Jung-Hoon Kim, Dan-Bi Lee, Hyun-Joo Choi, Soo-Hyun Kim, Matthias Steiner, Seung Hee Kim

Institute for ECHO Articles and Research

To provide safe and efficient guidance for aircraft operation to avoid deep convective areas (DCAs) in Korea and broader East Asia, we developed a multimodel and multidiagnostic ensemble (MMDE)-based forecast system. This system utilizes two global numerical weather prediction (NWP) models based on the Unified Model (UM) and the Korean Integrated Model (KIM) operated by the Korea Meteorological Administration. To predict hazardous weather conditions, we defined DCAs using ground-based radar mosaic data where the 15-dBZ echo-top height exceeds flight level (FL) 250 (about z = 6.5 km) and FL350 (about z = 9 km). For predictors, we employed a …

In Re: Eileen Adams

2025 Decisions

USDC for the District of New Jersey

In Re: David Pinckney

2025 Decisions

USDC for the District of New Jersey

Umn Morris Theatre Arts Announces Bold 2025-26 Season, Communications And Marketing

Campus News Archive

No abstract provided.

Editorial: Community Series In Bark-Water Interactions, John T. Van Stan Ii, Salli F. Dymond, Anna Klamerus-Iwan, Julieta A. Rosell

Biological, Geological, and Environmental Faculty Publications

No abstract provided.

Utilization Of The Fundamentals Of Vascular Surgery Symposium In Surgical Curricula, Priscilla Tanamal, Amit Chawla, Amanda Tullos, Claudie Sheahan, Malachi Sheahan

School of Medicine Faculty Publications

Objective: Simulation is a helpful adjunct to vascular surgery training, in which high-volume surgical experience portends better patient outcomes. Louisiana State University Health New Orleans hosts a 3-day program, the Fundamentals of Vascular Surgery (FVS) Symposium, during which vascular trainees from across the nation can participate in didactic and hands-on lessons with an emphasis on procedures less frequently performed during residency, taught by attending surgeons from various institutions. The objective of this study was to examine the effect of the FVS Symposium on participant confidence in endovascular and open procedures and evaluate any differences between junior and senior level residents. …

Faith. Fellowship. Food., Eric F. Spina

President's Blog: From the Heart

"Let's celebrate our past with gratitude, our present with joy and our future withy hope. Here's to 175 years of faith, community and learning — and to the next chapter we will write together."

Optimizing Beer Fermentation Through Intelligent Control, Azizbek Nodirbekovich Yusupbekov, Mirjalol Yusupov

Chemical Technology, Control and Management

This paper presents an intelligent control approach for optimizing the beer fermentation process using fuzzy logic and adaptive neuro-fuzzy inference systems. By incorporating multivariable inputs—temperature error and pH deviation—the proposed system effectively handles the nonlinear dynamics and biological variability inherent in fermentation. Simulation results demonstrate improved control accuracy, responsiveness, and robustness compared to conventional methods, making the approach suitable for integration in modern brewery automation systems.

Application Of Neural Networks For Intelligent Processing Of Sensor Signals In The Control Of Technological Process Parameters, N.R. Yusupbekov, Yu.Sh. Avazov, G.Kh. Rashidov

Chemical Technology, Control and Management

This scientific article investigates the problem of analyzing technological process parameters in the fields of chemistry, energy, and metallurgy based on sensor data and applying intelligent signal processing methods. The main objective is to evaluate the effectiveness of artificial intelligence and deep learning models for intelligent analysis, forecasting, and anomaly detection of data obtained from sensors. Time-series data collected from industrial sensors were analyzed using LSTM (Long Short-Term Memory) and Autoencoder neural networks, as well as the Kalman filter. At the first stage of the study, sensor signals were denoised and their true state was estimated using the Kalman filter. …

Increasing The Robustness Of A Control System For A Complex Dynamic Plant By Correcting Nonlinearity In The Warping Process, Tukhtamurod Khayitmurodovich Avezov, Zokhid Ergashboyevich Iskandarov

Chemical Technology, Control and Management

The paper discusses the challenges of enhancing the robustness of a control system for a complex dynamic plant by addressing nonlinearity in the warping process. Devices that ensure the stability of the control system against parameter non-stationarity on the warping machine are referred to as state controllers. The operating principle of these devices relies on providing artificial nonlinearity to the rear connection circuit of the control system's actuator. However, this nonlinearity is implemented using components that consider the parameters of low control quality. Therefore, it is necessary to continuously adjust the nonlinearity parameters to, on one hand, reduce the load …

Evaluation Of Deep Learning Techniques In Road Sign Recognition, Latafat Abbas Gardashova, Haji Fakhraddin Hajiyev

Chemical Technology, Control and Management

Deep learning has transformed the computer vision field and greatly improved the performance and efficiency of road sign recognition systems. This research compares different deep learning methods, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and hybrid models, in terms of their ability to effectively detect and classify road signs under various conditions. The study compares performance measures such as accuracy, processing speed, and robustness to environmental conditions like low lighting, occlusion, and adverse weather. The results show that CNN-based methods, especially those with transfer learning and ensemble techniques, have better performance in real-time scenarios. Problems like computational …

Welcome Back Lunch, Center For Business And Financial Law

Center for Business and Financial Law

September 3, 2025

Commonwealth Times 2025-09-03

Commonwealth Times, 1969-

No abstract provided.

September 3, 2025 General Faculty Minutes, University Of South Carolina

Faculty Senate

No abstract provided.

Prevalence Of Exposures And Moral Injury In First Responders, Shira Maguen, Soma De Bourbon, Adam Batten, Michael Mason, April Sloan, Daniel Nazzareta, Joseph Graterol, Simon Pang, Miranda Worthen

Faculty Research, Scholarly, and Creative Activity

Objectives: Workers in high-stakes occupations, such as first responders, are at risk of exposure to potentially morally injurious events (PMIEs) and moral injury, yet research with first responders has been scarce. This study aimed to assess the frequency of exposure to PMIEs, the prevalence of moral injury, and the correlation between moral injury and other mental health symptoms. Methods: In this cross-sectional study, firefighters, emergency medical technicians (EMTs), and paramedics working for a large urban Fire Department in California were invited to complete an online, confidential survey using validated scales to assess exposure to PMIEs, moral injury symptoms, and symptoms …

Writing Workshop In Prose, Kylee C. Pastore

Open Educational Resources

The Prose Workshop (Fall 2025) is a zero-textbook-cost (ZTC) course at The City College of New York that integrates open educational resources (OER) to develop students’ skills as writers, readers, and critics. Structured in two major parts, the course begins with cultural criticism, guiding students to produce a polished 750–1000 word essay that combines close observation, analysis, and creative voice. The second half focuses on longform narrative nonfiction, culminating in a 3,000-word editorial essay intended for submission to a real-world publication. Alongside these core projects, students engage in weekly homework blogs, annotated course readers, and a final creative experiment in …

Medical Students’ Perspectives On Dobbs V Jackson Women’S Health Organization, Victoria Lazarov, Cecilia Mastrogiacomo, Mikaela Koch, Kirsten Wohlars, Tova Ablove, Student Perspectives On Reproductive Rights Research Group

Cooper Rowan Medical Journal

Background: In June 2022, the Dobbs v Jackson Women’s Health Organization ruling overturned the previously upheld constitutional right to abortion. The resulting impact on medical training and student decision-making remains uncertain. This study aims to assess the nationwide impact of the Dobbs decision on medical students’ geographic residency preferences, specialty selection, and level of concern regarding civil and criminal charges for physicians providing abortion and fertility care.

Methods: An anonymous IRB-approved REDCap survey was distributed to American accredited medical schools across the United States and Israel between December 2022 and May 2023. Participants indicated specialty interests and geographic preferences for …

Assessing The Feasibility Of Implementing An Extracorporeal Cardiopulmonary Resuscitation Program, Renee N. Spencer, Sandhya Ashokkumar, Erin Kern, Pranav Patel, Jachrise Sibblis, Alexander Kuc, Adam Green, Vishal P. Jani

Cooper Rowan Medical Journal

Introduction: Extracorporeal cardiopulmonary resuscitation (eCPR) has been used to improve survival in select cardiac arrest patients. Success is linked to patient volume, with centers classified as low (0-6), medium (7-12), or high (>12) volume based on annual cases. We hypothesize that Cooper has a large enough eligible patient population to benefit from implementation of an ECPR program.

Methods: Out-of-hospital cardiac arrest (OHCA) patients transported to Cooper Hospital over six years were assessed for eCPR candidacy via retrospective chart review. In-hospital cardiac arrest (IHCA) eCPR data was also collected and combined with OHCA data to project annual eCPR …

High-Capacity, Reversible, And Energy-Efficient Water Vapor Sorption By Hierarchical Micro-To-Macroporous Carbon Aerogels From Polybenzoxazine And Polybenzodiazine, Vaibhav A. Edlabadkar, Rushi U. Soni, Stephen Y. Owusu, A. B.M.Shaheen Ud Doulah, Nicholas Leventis, Chariklia Sotiriou-Leventis

Chemistry Faculty Research & Creative Works

Quantitative, reversible water vapor sorption is in rising demand for applications ranging from home appliances to atmospheric water harvesting. However, most sorbents suffer from low water-uptake capacities, nonreusability, and especially high regeneration temperatures. This study addresses this challenge by introducing polybenzoxazine- (PBO) and polybenzodiazine-derived (PBDAZ) carbon aerogels as reversible high-capacity desiccants. PBO and PBDAZ aerogels were prepared from structurally related monomers via HCl-catalyzed ring opening polymerization. Both types of aerogels were first aromatized at 200–240 °C under air or O2 and then were carbonized at 800 °C under Ar. These as-prepared carbon aerogels were further etched at 1000 °C under …

Long-Range Quantum Entanglement In Dielectric Mu-Near-Zero Metamaterials, Olivia Mello, Larissa Vertchenko, Seth Nelson, Adrien Debacq, Durdu Guney, Eric Mazur, Michaël Lobet

Michigan Tech Publications

Entanglement is paramount in quantum information processing. Many quantum systems suffer from spatial decoherence in distances over a wavelength and cannot be sustained over short time periods due to dissipation. However, long range solutions are required for the development of quantum information processing on chip. Photonic reservoirs mediating the interactions between qubits and their environment are suggested. Recent research takes advantage of extended wavelength inside near-zero refractive index media to solve the long-range problem along with less sensitivity on the position of quantum emitters. However, those recent proposals use plasmonic epsilon near-zero waveguides that are intrinsically lossy. Here, we propose …

Faculty Senate Meeting, 60th Senate Recording (9/3/2025), Csusb Faculty Senate

CSUSB Faculty Senate records

No abstract provided.

September 3, 2025 Blazer Weekly, University Of Alabama At Birmingham

Blazer Weekly (student newsletter)

No abstract provided.

Order Of The Bankruptcy Court Disallowing Standing For Insurers

Catholic Dioceses in Bankruptcy

No abstract provided.

Performance Of Reinforced Concrete Wall With Discrete Frp Boundary Element Retrofit, Katelyn Lowry, Roger Biddle, Peter Laursen, Anahid A. Behrouzi, Cole Mcdaniel

Architectural Engineering

This paper presents experimental results for a lightly reinforced concrete (LRC) shear wall retrofitted with discrete fiber-reinforced polymer (FRP) strips at the boundary zones. The performance of this wall was evaluated through cyclic lateral load testing and compared with a wall retrofitted with continuous FRP at the boundary zones (Duong et al., 2024). Test results showed that the wall retrofitted with discrete strips exhibited a flexural tensile failure characterized by wide flexural cracks confined between FRP strips and rebar fracture at high drifts, while maintaining displacement compatibility and axial load capacity beyond strength degradation. Compared to the continuous FRP retrofit, …

Modern Methods Of Self-Monitoring, Diagnostics, And Fault Tolerance In Flow Measurement Systems, Elbek Ortiqov

Chemical Technology, Control and Management

This article investigates various methods and tools for self-monitoring and fault tolerance in flow measurement transducers used in industrial processes. The study focuses on key techniques such as the use of redundancy, generation of reference values, analysis of measurement signals, and control of disturbance variables. These methods allow transducers to detect potential faults, ensure reliable operation, and maintain measurement accuracy even under adverse conditions. The article highlights how self-monitoring contributes to improving system safety, increasing reliability, and reducing downtime. It also discusses the integration of intelligent monitoring systems that support predictive maintenance and real-time diagnostics. Fault-tolerant sensors with self-monitoring capabilities …

Algorithms For The Synthesis Of Adaptive Control Systems Based On The Speed-Gradient Method, Oxunjon Boborayimov

Chemical Technology, Control and Management

This paper discusses the synthesis algorithms for adaptive control systems based on the speed-gradient method. Adaptive control systems with implicit reference and adjustable models are synthesized using speed-gradient techniques, which reduce the requirements for the main control loop structure and the completeness of measurement data. Stable adaptive decentralized control algorithms are developed for a class of interconnected systems with nonlinear local dynamics and uncertainties, ensuring the stability of individual subsystems and the overall system while accounting for their interactions. To incorporate inter-subsystem interactions into the overall control law, an adaptation algorithm based on the speed-gradient method is introduced. A synthesis …

Finding The Shortest And Optimal Path With Metaheuristic And Madm Methods, Narmin Ibrahim Hasanli

Chemical Technology, Control and Management

The article had described a method for finding the shortest and most optimal path among cities. The data had been taken from the TSPLIB library, which had provided standard examples for the Traveling Salesman Problem. This approach had integrated the advantages of the meta-heuristic technique and the Multi Attribute Decision Making method to solve the problem effectively. In the first stage, the population based meta-heuristic method ACO (Ant Colony Optimization) had found optimal solutions in large search spaces. The use of pheromone trails, heuristic information and an iterative search process had given the opportunity to find the best or near-best …

Modeling Of Urea Drying And Granulation Process In Fluidized Bed, Jalolitdin Pakhritdinovich Mukhitdinov, Aleksey Viktorovich Schulz

Chemical Technology, Control and Management

This article is devoted to the mathematical modeling of urea drying and granulation processes in a fluidized bed. A brief description is provided for the functional blocks included in the mathematical model, along with the required parameters that form an integrated representation of the technological process. The SR-POLAR model is used to describe a phase equilibrium between the components involved. The interconnections between functional blocks are shown in the process flow diagram. Block diagrams for modeling a multi-chamber granulation unit and the cooling system for the resulting granules are presented. Granule growth in the fluidized bed is described using a …