Comparative study of pulpal response following direct pulp capping using synthesized fluorapatite and hydroxyapatite nanoparticles.

Objective: This study aimed to investigate and compare the histological response of rabbit dental pulp after direct pulp capping with 3 different materials: mineral trioxide aggregate (MTA), nanoparticles of fluorapatite (Nano-FA), and nanoparticles of hydroxyapatite (Nano-HA) after 4 and 6-week time intervals.

Material And Methods: A total of 72 upper and lower incisor teeth from 18 rabbits were randomly categorized into 3 groups)24 incisors from six rabbits each. MTA Group: teeth were capped with MTA.

Effect of implant loading protocols and associated factors on the success rate of implant therapy: A retrospective clinical study.

Statement Of Problem: Although immediate implant loading has shown promising clinical results and high survival rates, an increased risk of implant failure and complications has been reported. Achieving consistently predictable outcomes with this approach remains a challenge, but evidence-based guidelines to assist in selecting suitable patients are lacking.

Purpose: The purpose of this retrospective clinical study was to investigate the success rate, survival rate, and complications of immediate implant loading compared with early and delayed loading.

Assessing asymmetric enhancement on breast MRI: Besting the diagnostic challenge with imaging and clinical clues.

Breast magnetic resonance imaging (MRI) has the highest sensitivity for breast cancer detection compared to other breast imaging modalities such as mammography and ultrasound. As a functional modality, it captures the increased angiogenic activity of breast cancer through gadolinium-based contrast enhancement. Normal breast tissue also enhances, albeit in distinct patterns termed background parenchymal enhancement (BPE).

Whole personhood in medical education: Visual thinking strategy, close reading, and creative practice with a diversity and equity lens.

Purpose: To create and implement a Whole Personhood in Medical Education curriculum including Visual Thinking Strategies (VTS), close reading, and creative practice that features creative works by BIPOC, persons with disability, and/or LGBTQ + individuals that aligns with educational competencies.

Materials And Methods: Curriculum design by an interdisciplinary team made up of physician educators, medical sociologist, digital collection librarian, and art museum educators. Prospective single arm intervention study at a single site academic teaching hospital.

Occurrence and health risk assessment of selected metals in commercially available infant formulas in Jordan.

Background: Infant formulas are the primary source of nutrition for infants and babies when breastfeeding is unavailable, as they are enriched with a variety of macro- and micronutrients to improve their nutritional value and satisfy the different needs of babies. Recently, there has been a rising concern about toxic metal levels in infant formulas, as highlighted by various studies. However, there are currently no sufficient studies focusing on toxic metal levels of infant formulas in Jordan.

Novel transfer learning based bone fracture detection using radiographic images.

A bone fracture is a medical condition characterized by a partial or complete break in the continuity of the bone. Fractures are primarily caused by injuries and accidents, affecting millions of people worldwide. The healing process for a fracture can take anywhere from one month to one year, leading to significant economic and psychological challenges for patients.

Hybrid salp swarm maximum power point tracking algorithm for photovoltaic systems in highly fluctuating environmental conditions.

The maximum power delivered by a photovoltaic system is greatly influenced by atmospheric conditions such as irradiation and temperature and by surrounding objects like trees, raindrops, tall buildings, animal droppings, and clouds. The partial shading caused by these surrounding objects and the rapidly changing atmospheric parameters make maximum power point tracking (MPPT) challenging. This paper proposes a hybrid MPPT algorithm that combines the benefits of the salp swarm algorithm (SSA) and hill climbing (HC) techniques.

Optimizing solar performance of CFTSe-based solar cells using MoSe as an innovative buffer layers.

In this study, we explore the photovoltaic performance of an innovative high efficiency heterostructure utilizing the quaternary semiconductor CuFeSnSe (CFTSe). This material features a kesterite symmetrical structure and is distinguished by its non-toxic nature and abundant presence in the earth's crust. Utilizing the SCAPS simulator, we explore various electrical specifications such as short circuit current (J), open circuit voltage (V), the fill factor (FF), and power conversion efficiency (PCE) were explored at a large range of thicknesses, and the acceptor carrier concentration doping (N).

Coastal redox shifts over the past 167 years and preservation of total organic carbon and total nitrogen.

This study reconstructs the environmental history of Xincun Lagoon over the past 167 years using sediment core XCW, employing Cu/Zn as a proxy for redox changes. Time-series analysis of Cu/Zn ratios reveals a significant decline (linear regression slope = -0.00082, p < 0.

Giant Thermoelectric Response of Fluxons in Superconductors.

We investigate the thermoelectric response of an Abrikosov vortex in type-II superconductors in the deep quantum limit. We consider two thermoelectric geometries, a type-II superconductor-insulator-normal-metal (S-I-N) junction and a local scanning tunneling microscope (STM)-tip normal metal probe over the superconductor. We exploit the strong breaking of particle-hole symmetry in vortex-bound states at subgap energies within the superconducting vortex to realize a giant thermoelectric response in the presence of fluxons.

Trends in childhood cancer: Incidence and survival analysis over 45 years of SEER data.

Background: The SEER Registry contains U.S. cancer statistics.

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.

Investigating the point prevalence, types, severity, causes and predictors of vaccines administration errors during COVID-19 pandemic in Jordan.

Background: There is a paucity of research regarding COVID-19 vaccines administration errors (VAEs) during the COVID-19 pandemic. This study aimed to investigate the prevalence, types, severity, causes and predictors of VAEs in Jordan during the recent pandemic.

Method: This was a 3-day (Sunday, Tuesday and Thursday of the third week of November 2021) prospective, covert observational point prevalence study.

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.