Reinforcement learning algorithm for improving speed response of a five-phase permanent magnet synchronous motor based model predictive control.

Enhancing the performance of 5ph-IPMSM control plays a crucial role in advancing various innovative applications such as electric vehicles. This paper proposes a new reinforcement learning (RL) control algorithm based twin-delayed deep deterministic policy gradient (TD3) algorithm to tune two cascaded PI controllers in a five-phase interior permanent magnet synchronous motor (5ph-IPMSM) drive system based model predictive control (MPC). The main purpose of the control methodology is to optimize the 5ph-IPMSM speed response either in constant torque region or constant power region.

Right-censored models by the expectile method.

Based on the expectile loss function and the adaptive LASSO penalty, the paper proposes and studies the estimation methods for the accelerated failure time (AFT) model. In this approach, we need to estimate the survival function of the censoring variable by the Kaplan-Meier estimator. The AFT model parameters are first estimated by the expectile method and afterwards, when the number of explanatory variables can be large, by the adaptive LASSO expectile method which directly carries out the automatic selection of variables.

Breaking Barriers in Huntington's Disease Therapy: Focused Ultrasound for Targeted Drug Delivery.

Huntington's disease (HD) is a progressive neurodegenerative disease resulting from a mutation in the huntingtin (HTT) gene and characterized by progressive motor dysfunction, cognitive decline, and psychiatric disturbances. Currently, no disease-modifying treatments are available. Recent research has developed therapeutic agents that may have the potential to directly target the disease pathology, such as gene silencing or clearing the mutant protein.

Recent Advancements and Applications of Nanosensors in Oral Health: Revolutionizing Diagnosis and Treatment.

Advances in the field of nanomaterials are laying the foundation for the fabrication of nanosensors that are sensitive, selective, specific, cost-effective, biocompatible, and versatile. Being highly sensitive and selective, nanosensors are crucial in detecting small quantities of analytes and early diagnosis of diseases. These devices, operating on the nanoscale, detect signals, such as physical, chemical, optical, electrochemical, or biological, and then transduce them into a readable form.

Exploring the Accuracy of Interferometric Quantum Measurements under Conservation Laws.

A (target) quantum system is often measured through observations performed on a second (meter) system to which the target is coupled. In the presence of global conservation laws holding on the joint meter-target system, the Wigner-Araki-Yanase theorem and its generalizations predict a lower bound on the measurement's error (Ozawa's bound). While practically negligible for macroscopic meters, it becomes relevant for microscopic ones.

Nurses' professional quality of life and job satisfaction in Jordan.

Background: Professional quality of life has received widespread concern in nursing over the last few years. Nurses with a high professional quality of life enthusiastically approach their work and provide excellent patient care. On the other hand, poor professional quality of life may affect nurses' quality of care, resulting in job dissatisfaction and jeopardizing patient outcomes.

Psychometric properties of an Arabic translation of the 13-item short mood and feelings questionnaire- parent version (SMFQ-P) to screen for depression in children.

Background: Understanding the connection between parental wellbeing and its impact on childhood depression is crucial in order to develop targeted interventions and support systems that can mitigate potential long-term effects on mental health. This study focuses on examining the properties of an Arabic translation of a questionnaire called Short Mood and Feelings Questionnaire Parent Version (SMFQ-P) as a preliminary step toward validating a culturally relevant screening tool for childhood depression in Lebanon.

Methods: A total of 502 parents, recruited through a snowball method, took part in the survey with an age of 36.

Enhanced photovoltaic panel diagnostics through AI integration with experimental DC to DC Buck Boost converter implementation.

Health monitoring and analysis of photovoltaic (PV) systems are critical for optimizing energy efficiency, improving reliability, and extending the operational lifespan of PV power plants. Effective fault detection and monitoring are vital for ensuring the proper functioning and maintenance of these systems. PV power plants operating under fault conditions show significant deviations in current-voltage (I-V) characteristics compared to those under normal conditions.

An integrated approach using social support theory and technology acceptance model to investigate the sustainable use of digital learning technologies.

The present study explored the determinants influencing students' intentions towards utilizing digital learning technologies (DLTs). It proposes a holistic view model for students' utilization of digital learning technologies by integrating social support theory and the "Technology Acceptance Model" (TAM). Data were gathered from 262 students of the University of Ha'il through utilizing a questionnaire.

Efficient control strategy for electric furnace temperature regulation using quadratic interpolation optimization.

Electric furnaces play an important role in many industrial processes where precise temperature control is essential to ensure production efficiency and product quality. Traditional proportional-integral-derivative (PID) controllers and their modified versions are commonly used to maintain temperature stability by reacting quickly to deviations. In this study, the real PID plus second-order derivative (RPIDD) controller is introduced for the first time for industrial temperature control applications, which is a novel alternative that has not yet been investigated in the literature.

Profile of maladaptive and normative eating behaviors in correlation with rumination: a cross-sectional study among Lebanese adults.

Background: Dieting is a common practice around the world. People who wish to lose weight, improve their eating habits, or reach a desired level of health often diet. Rumination, a pattern of repetitive negative thoughts and emotions, is typically found when individuals diet.

The effect of PEO/NaCl dual porogens in the fabrication of porous PCL membranes via a solid-state blending approach.

In this investigation, the influence of a combination of poly(ethylene-oxide) (PEO) and salt (NaCl) as water-soluble porogens on the synthesis of sustainable porous poly(ε-caprolactone) (PCL) membranes is explored. Nine mixture compositions are examined. PCL sheets are fabricated through the cryomilling, hot pressing, and porogen leaching approach.

A novel deep synthesis-based insider intrusion detection (DS-IID) model for malicious insiders and AI-generated threats.

Insider threats pose a significant challenge to IT security, particularly with the rise of generative AI technologies, which can create convincing fake user profiles and mimic legitimate behaviors. Traditional intrusion detection systems struggle to differentiate between real and AI-generated activities, creating vulnerabilities in detecting malicious insiders. To address this challenge, this paper introduces a novel Deep Synthesis Insider Intrusion Detection (DS-IID) model.

Computational insights into spin-polarized density functional theory applied to actinide-based perovskites XBkO₃ (X = Sr, Ra, Pb).

The exploration of perovskite compounds incorporating actinide and divalent elements reveals remarkable characteristics. Focusing on PbBkO, RaBkO, and SrBkO, these materials were studied using density functional theory (DFT) via the CASTEP code to analyze their electronic, optical, and mechanical properties. The results show semiconductor behavior, with respective band gaps of 1.

Functional protein mining with conformal guarantees.

Molecular structure prediction and homology detection offer promising paths to discovering protein function and evolutionary relationships. However, current approaches lack statistical reliability assurances, limiting their practical utility for selecting proteins for further experimental and in-silico characterization. To address this challenge, we introduce a statistically principled approach to protein search leveraging principles from conformal prediction, offering a framework that ensures statistical guarantees with user-specified risk and provides calibrated probabilities (rather than raw ML scores) for any protein search model.

Psychometric properties of the Arabic version of the Young Schema Questionnaire Short Form-Version 3 (YSQ-S3).

It is well evidenced that Early Maladaptive Schemas (EMS) are important mental health determinants, particularly in adolescents and young adults. The short version of the Young Schema Questionnaire (YSQ-S3) is widely used globally to assess EMS, and has yet to be validated in the Arabic language. The aim of the current study was to validate the Arabic version of the YSQ-S3 in Arabic-speaking young adults from Lebanon.

Design and application of synthetic 17B-HSD13 substrates reveals preserved catalytic activity of protective human variants.

Several hydroxysteroid dehydrogenase 17-beta 13 variants have previously been identified as protective against metabolic dysfunction-associated steatohepatitis (MASH) fibrosis, ballooning and inflammation, and as such this target holds significant therapeutic potential. However, over 5 years later, the function of 17B-HSD13 remains unknown. Structure-aided design enables the development of potent and selective sulfonamide-based 17B-HSD13 inhibitors.

Hemodynamic Management guided by the Hypotension Prediction Index in Abdominal Surgery: A Multicenter Randomized Clinical Trial.

Background: Postoperative acute kidney injury (AKI) after major abdominal surgery leads to poor outcomes. The Hypotension Prediction Index (HPI) may aid in managing intraoperative hemodynamic instability. This study assessed if HPI-guided therapy reduces moderate-to-severe AKI incidence in moderate-to-high-risk elective abdominal surgery patients.

Asthma control, its related factors, and impact on quality of life among pediatric patients at a tertiary center in Jordan: a cross-sectional study.

Introduction: Pediatric asthma is a common respiratory disease that burdens affected patients, their caregivers, and the entire healthcare system. Uncontrolled asthma ultimately impacts patients' quality of life. There are limited studies examining the factors associated with asthma control and quality of life.

Embolized Transcatheter Aortic Valve Replacement Diagnosed With Transesophageal Echocardiography and a Novel Management Strategy Using a Thoracic Endovascular Aneurysm Repair Stent.

Transcatheter aortic valve replacement (TAVR) is a common treatment for severe aortic stenosis (AS), but it carries the risk of severe complications, including device embolization. We present a case of a TAVR valve embolization into the left ventricular outflow tract (LVOT), diagnosed with transesophageal echocardiography (TEE) shortly after device deployment. The dislodged valve was successfully retrieved from the LVOT into the aorta, flattened, and stabilized with a thoracic endovascular aneurysm repair (TEVAR) stent, enabling the successful implantation of a new TAVR valve.

Overlooked and underserved: how healthcare fails men in the pursuit of equity.

Purpose Of Review: Men face distinctive health-related challenges as a result of biological, behavioral, and sociocultural factors. In addition, the modern healthcare system does not offer men equal opportunities and options to ensure sex-specific access and delivery to health services. Men's health concerns are, indeed, often not addressed or even forgotten.