Effect of web-based education for empowering mothers regarding pediatric fever management.

Background: In pediatric care, mothers' confidence concerning their knowledge, practice, and attitude in managing fevers is crucial. Web-based educational platforms offer a convenient and accessible means to empower mothers in this regard.

Aim: This study aimed to evaluate the effect of web-based education for empowering mothers regarding pediatric fever management.

Magnetic properties of different phases iron oxide nanoparticles prepared by micro emulsion-hydrothermal method.

In this study, we report the synthesis of iron oxide nanoparticles (FeONPs) using micro-emulsion-hydrothermal method. By adjusting the synthesis temperature, we successfully produced FeO nanorods and nanospheres. In addition, the 2-octanol, and the surfactant cetyltrimethylammonium bromide served as a solvent in the synthesis process.

Patterns of Opioid and NSAID Use in Saudi Arabia from 2010 to 2020.

The use of analgesics has increased globally over the last three decades. Prescription drug abuse has increased significantly, and opioids have been identified as causing further harm to the world. This study explored the utilization and expenditure associated with opioids and non-steroidal anti-inflammatory drugs (NSAIDs) from 2010 to 2020 in Saudi Arabia.

Advanced deep transfer learning techniques for efficient detection of cotton plant diseases.

Introduction: Cotton, being a crucial cash crop globally, faces significant challenges due to multiple diseases that adversely affect its quality and yield. To identify such diseases is very important for the implementation of effective management strategies for sustainable agriculture. Image recognition plays an important role for the timely and accurate identification of diseases in cotton plants as it allows farmers to implement effective interventions and optimize resource allocation.

Automated approach for fetal and maternal health management using light gradient boosting model with SHAP explainable AI.

Fetal health holds paramount importance in prenatal care and obstetrics, as it directly impacts the wellbeing of mother and fetus. Monitoring fetal health through pregnancy is crucial for identifying and addressing potential risks and complications that may arise. Early detection of abnormalities and deviations in fetal health can facilitate timely interventions to mitigate risks and improve outcomes for the mother and fetus.

Antibiofilm and Antiquorum Sensing Potential of Pheretima posthum.

Antibiotic resistance is a world wide problem mainly in developing countries. In this work, coelomic fluid (PCF) and paste (PBP) of Pheretima posthuma was assessed for its potential as antibiofilm and anti-quorum sensing (QS) agent against pathogenic bacterial biofilms. PCF and PBP were extracted and biofilm formation time kinetics was examined using crystal violet staining method by utilizing four bacterial isolates in bispecies biofilm (06 combinations; MH5-MH10) and multi species biofilms (05 combinations; MH11-MH15).

Epidermal Growth Factor Receptors Unveiled: A Comprehensive Survey on Mutations, Clinical Insights of Global Inhibitors, and Emergence of Heterocyclic Derivatives as EGFR Inhibitors.

Mutations that overexpress the epidermal growth factor receptor (EGFR) are linked to cancers like breast (15-20%), head and neck (10-15%), colorectal (5-8%), and non-small cell lung cancer (10-50%), especially in East Asian populations. EGFR activation stimulates "RAS/RAF/MEK/ERK, PI3K/Akt, and MAPK" pathways, which enhance cell division, survival, angiogenesis, and tumor growth while inhibiting apoptosis and metastasis. Secondary mutations (e.

Wealth-based inequalities in tuberculosis prevalence among households having children and young adults in India: insights from Indian demographic and health surveys (2015-2021).

Background: Tuberculosis (TB) remains a significant health concern in India, especially among households with children and young adolescents aged 6-17 years. Despite ongoing research, there is a knowledge gap regarding specific risk factors for TB within this demographic. This study aims to bridge this gap by examining the association between TB and various socio-demographic factors, including socioeconomic status, nutritional status, and environmental conditions.

A cutting-edge investigation of the multifaceted role of SOX family genes in cancer pathogenesis through the modulation of various signaling pathways.

This detailed study examines the complex role of the SOX family in various tumorigenic contexts, offering insights into how these transcription factors function in cancer. As the study progresses, it explores the specific contributions of each SOX family member. The significant roles of the SOX family in the oncogenic environment are well-recognized, highlighting a range of regulatory mechanisms that influence tumor progression.

Leaving no one behind: Gender inequality, economic inequality, and organizational entrenchment of nurses in remote areas of Egypt.

Aim: This study investigates the association between gender inequality, economic inequality, and organizational entrenchment among nurses serving in remote areas.

Background: Egypt ranks low in gender equity across the Middle East and North Africa (MENA) region. In the culture of nursing, gender-based discrimination is among the factors that can further hamper nurses' economic advancement and adversely affect organizational entrenchment.

Role of violence exposure on altruistic behavior and grit among emergency nurses in rural hospitals.

Aim: To explore the effect of violence exposure on altruistic behavior and grit among emergency nurses in 103-bed emergency departments in rural hospitals in Egypt.

Background: Workplace violence is a pervasive issue in emergency departments. Nurses in rural hospitals, facing limited resources and isolation, may be even more vulnerable to the adverse effects of workplace violence.

Debonding Characteristic and Survival Probability of Adhesive Flash-Free Ceramic Orthodontic Brackets Following pH Cycling.

Objectives:  Orthodontic bracket bond failure is an obstacle in clinical orthodontics. This study investigated the influence of pH cycling on the shear bond strength (SBS), adhesive remnant index (ARI), and survival probability of adhesive-precoated flash-free ceramic brackets.

Materials And Methods:  Forty mandibular premolars were randomly divided into two groups ( = 20): C: noncoated orthodontic brackets, and F: flash-free adhesive-precoated orthodontic brackets.

3D highly isolated 6-port tri-band MIMO antenna system with 360° coverage for 5G IoT applications based machine learning verification.

A multipurpose antenna system that can handle a broad area of frequencies is crucial in the effort to build up widespread 5G Internet-of-Things (IoT) networks. For fifth-generation Internet-of-things applications, this research introduces a new multi-band antenna that can operate in the sub-6 GHz band (2-7 GHz), Ku-band (13-17.5 GHz), and millimeter wave band (25-39 GHz).

Machine learning-based technique for gain prediction of mm-wave miniaturized 5G MIMO slotted antenna array with high isolation characteristics.

This study presents the design and analysis of a compact 28 GHz MIMO antenna for 5G wireless networks, incorporating simulations, measurements, and machine learning (ML) techniques to optimize its performance. With dimensions of 3.19 λ₀ × 3.

Sensitivity analysis and dynamics of brucellosis infection disease in cattle with control incident rate by using fractional derivative.

The farming of animals is one of the largest industries, with animal food products, milk, and dairy being crucial components of the global economy. However, zoonotic bacterial diseases, including brucellosis, pose significant risks to human health. The goal of this research is to develop a mathematical model to understand the spread of brucellosis in cattle populations, utilizing the Caputo-Fabrizio operator to control the disease's incidence rate.

Emerging biosensing platforms based on metal-organic frameworks (MOFs) for detection of exosomes as diagnostic cancer biomarkers: case study for the role of the MOFs.

Exosomes, which are considered nanoscale extracellular vesicles (EVs), are secreted by various cell types and widely distributed in different biological fluids. They consist of multifarious bioactive molecules and use systematic circulation for their transfer to adjoining cells. This phenomenon enables exosomes to take part in intercellular and intracellular communications.

Talent management intervention towards performance outcomes of Jordanian telecommunication companies: mediating role of perceived organizational support.

Background: Grounding on the Resource-Based View (RBV) and organization support theory (OST), this study examines the effect of talent management practice (TMP) on perceived organizational support (POS), organizational performance (OP), and employee performance (EP) within the Jordanian telecom sector, with a specific focus on the mediating effect of POS's between TMP-EP and OP relationship.

Methods: This study uses a cross-sectional method to collect data from 397 personnel at three Jordanian telecom enterprises. The Smart-PLS application assisted with structural equation modeling, which was used to examine the data.

Dementia health matters: Influence of literacy, fears, and endorsements on dementia risk mitigation and screening among community-dwelling older adults.

Background: Up to one-third of dementia cases may be preventable, with evidence suggesting that modifying lifestyle and health behaviors can significantly lower the risk of developing dementia. However, motivating older adults to adopt and sustain these changes poses a considerable challenge, particularly when facing the specter of dementia.

Aim: To explore the interaction effect between dementia fear and dementia literacy on the perceived ability of community-dwelling older adults to reduce dementia risk and engage in dementia screening.

MicroRNAs and long non-coding RNAs In T-cell lymphoma: Mechanisms, pathway, therapeutic opportunities.

T-cell lymphomas represent non-Hodgkin lymphomas distinguished by the uncontrolled proliferation of malignant T lymphocytes. Classifying these neoplasms and the ongoing investigation of their underlying biological mechanisms remains challenging. Significant subtypes encompass peripheral T-cell lymphomas, anaplastic large-cell lymphomas, cutaneous T-cell lymphomas, and adult T-cell leukemia/lymphoma.

Inhibition of clinical multidrug-resistant Pseudomonas aeruginosa biofilms by cinnamaldehyde and eugenol from essential oils: in vitro and in silico analysis.

Pseudomonas aeruginosa causes nosocomial infections and chronic diseases. Cinnamomum cassia and Syzygium aromaticum are used natural antimicrobials. Essential oil (EO) from Cinnamomum cassia (CCEO) and Syzygium aromaticum (CEO) were characterized using GC-MS analysis.

Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies.

This paper seeks to enhance the performance of Mel Frequency Cepstral Coefficients (MFCCs) for detecting abnormal heart sounds. Heart sounds are first pre-processed to remove noise and then segmented into S1, systole, S2, and diastole intervals, with thirteen MFCCs estimated from each segment, yielding 52 MFCCs per beat. Finally, MFCCs are used for heart sound classification.

An insight into the stochastic solitonic features of the Maccari model using the solver technique.

In this paper, the unified approach is used in acquiring some new results to the coupled Maccari system (MS) in Itô sense with multiplicative noise. The MS is a nonlinear model used in hydrodynamics, plasma physics, and nonlinear optics to represent isolated waves in a restricted region. We provide new results with complicated structures to this model, including hyperbolic, trigonometric and rational function solutions.

Classification of cervical cancer using Dense CapsNet with Seg-UNet and denoising autoencoders.

Cervical cancer is one of the deadly diseases that affects women, which requires periodic examinations to identify and treat any cancerous tumors at a preliminary stage. The most prevalent examination tool for cervical cancer prompt identification is the cervical smear (Pap smear) testing; however, due to human negligence, this examination method has an elevated probability of negative findings. Cervical cancer classification using machine learning (ML) and deep learning (DL) has been extensively studied to enhance the conventional diagnostic process.

Rapid microcystin-LR detection using antibody-based electrochemical biosensors with a simplified calibration curve approach.

Harmful algal blooms (HABs) can release cyanotoxins such as microcystins (MCs), especially, microcystin-leucine-arginine (MC-LR) which is one of the commonest and most toxic, into our water bodies and can lead to several acute or chronic diseases such as liver diseases and respiratory irritation in humans. There is an increasing need for rapid and simple detection of MC-LR in water bodies for early warning of HABs. In this study, we developed an innovative on-site screening electrochemical impedance spectroscopy (EIS) biosensor with a simplified calibration curve that can rapidly detect blooms for early action in similar water bodies.

FacialNet: facial emotion recognition for mental health analysis using UNet segmentation with transfer learning model.

Facial emotion recognition (FER) can serve as a valuable tool for assessing emotional states, which are often linked to mental health. However, mental health encompasses a broad range of factors that go beyond facial expressions. While FER provides insights into certain aspects of emotional well-being, it can be used in conjunction with other assessments to form a more comprehensive understanding of an individual's mental health.