The lived experiences of mother's caring for children with uncontrolled asthma: A qualitative study.

Introduction: Childhood-onset asthma is a chronic respiratory disease that profoundly impacts patients, their families, and healthcare systems. This study explores the lived experiences, challenges, and perceptions of mothers in managing asthma, controlling symptoms, and maintaining the quality of life for their children with asthma in Palestine.

Methods: A qualitative descriptive design through semi-structured interviews was used in this study.

Data-driven analysis and prediction of wastewater treatment plant performance: Insights and forecasting for sustainable operations.

This study presents a comprehensive performance and forecasting analysis of the As-Samra wastewater treatment plant (WWTP) in Jordan, with two main objectives. Firstly, a thorough evaluation of the plant's performance is conducted. The analysis involves independently assessing historical operational conditions, plant production, and their statistical correlations using various statistical techniques.

Analyzing trends: A bibliometric study of administrative law and forensic accounting in the digital age.

This research conducts an extensive bibliometric analysis to explore trends and patterns in administrative law and forensic accounting within the digital era. Utilizing the Web of Science database, we employ VOSviewer software for bibliometric analysis, incorporating statistical techniques such as cluster analysis, co-occurrence analysis, and bibliographic coupling of countries to scrutinize 543 publications from 2010 to 2024. Our findings reveal a growing interest and relevance in administrative law and forensic accounting, reflecting the complexities stemming from technological advancements, regulatory changes, and financial misconduct in the digital age.

The impact of management practices and industry 4.0 technologies on supply chain sustainability: A systematic review.

This systematic review addresses a significant gap in the existing literature by examining the intricate relationship between management practices and Industry 4.0 technologies in shaping supply chain sustainability. While prior studies have explored their individual impacts, this review synthesizes and categorizes findings to identify nuanced trends that contribute to supply chain efficiency, waste reduction, and environmental footprints.

Assessment of meteorological drought impacts on rainfed agriculture using remote sensing-derived biomass productivity.

Assessing drought impacts is necessary for pursuing sustainable development goals relevant to food security and land degradation. Data availability is a major restriction and remote sensing has been promoted for this purpose. Version 3 of WaPOR has been released in 2023, which provides global coverage of remote sensing-derived water productivity indicators and could allow improved analysis of drought impacts, but validation is still needed.

Comparative analysis of features and classification techniques in breast cancer detection for Biglycan biomarker images.

Background: Breast cancer (BC) is considered the world's most prevalent cancer. Early diagnosis of BC enables patients to receive better care and treatment, hence lowering patient mortality rates. Breast lesion identification and classification are challenging even for experienced radiologists due to the complexity of breast tissue and variations in lesion presentations.

Enhancing solar photovoltaic energy production prediction using diverse machine learning models tuned with the chimp optimization algorithm.

Solar photovoltaic (PV) systems, integral for sustainable energy, face challenges in forecasting due to the unpredictable nature of environmental factors influencing energy output. This study explores five distinct machine learning (ML) models which are built and compared to predict energy production based on four independent weather variables: wind speed, relative humidity, ambient temperature, and solar irradiation. The evaluated models include multiple linear regression (MLR), decision tree regression (DTR), random forest regression (RFR), support vector regression (SVR), and multi-layer perceptron (MLP).

COVID-19 trends across borders: Identifying correlations among countries.

Objectives: To enhance the accuracy of forecasting future coronavirus disease 2019 (COVID-19) cases and trends by identifying and analyzing correlations between the daily case counts of different countries reported between January 2020 and January 2023, to uncover significant links in COVID-19 patterns between nations, allowing for real-time, precise predictions of disease spread based on observed trends in correlated countries.

Methods: Daily COVID-19 cases for each country were tracked between January 2020 and January 2023 to identify correlations between nations. Current case data were obtained from reliable sources, such as Johns Hopkins University and the World Health Organization.

Assessing pressure injury knowledge among Jordanian and Turkish nursing students: A cross-cultural comparison.

Aim: Pressure injuries, a prevalent issue in healthcare settings, have profound physical and emotional implications for patients and healthcare providers. However, further evidence is needed regarding the level of nursing students' knowledge of pressure injuries in the Middle East, a region where healthcare is rapidly evolving. This study examines the knowledge levels regarding pressure injuries among nursing students in Jordan and Turkey.

Identifying highly-valued bank customers with current accounts based on the frequency and amount of transactions.

We hypothesize that highly-valued bank customers with current accounts can be identified by a high frequency of transactions in large amounts of money. To test our hypothesis, we employ machine learning predictive models to real data, including 407851 transactions of 4760 customers with current accounts in a local bank in Jordan. Thus, we exploit three clustering algorithms: density-based spatial clustering of applications with noise, spectral clustering, and ordering points to identify the clustering structure.

Advanced Optoelectronic Modeling and Optimization of HTL-Free FASnI/C60 Perovskite Solar Cell Architecture for Superior Performance.

In this study, a novel perovskite solar cell (PSC) architecture is presented that utilizes an HTL-free configuration with formamide tin iodide (FASnI) as the active layer and fullerene (C60) as the electron transport layer (ETL), which represents a pioneering approach within the field. The elimination of hole transport layers (HTLs) reduces complexity and cost in PSC heterojunction structures, resulting in a simplified and more cost-effective PSC structure. In this context, an HTL-free tin HC(NH)SnI-based PSC was simulated using the solar cell capacitance simulator (SCAPS) within a one-dimensional framework.

Security Analysis for Smart Healthcare Systems.

The healthcare industry went through reformation by integrating the Internet of Medical Things (IoMT) to enable data harnessing by transmission mediums from different devices, about patients to healthcare staff devices, for further analysis through cloud-based servers for proper diagnosis of patients, yielding efficient and accurate results. However, IoMT technology is accompanied by a set of drawbacks in terms of security risks and vulnerabilities, such as violating and exposing patients' sensitive and confidential data. Further, the network traffic data is prone to interception attacks caused by a wireless type of communication and alteration of data, which could cause unwanted outcomes.

Predicting vehicle travel time on city streets for trip preplanning and predicting heavy traffic for proactive control of street congestion.

We investigate if the vehicle travel time after 6 h on a given street can be predicted, provided the hourly vehicle travel time on the street in the last 19 h. Likewise, we examine if the traffic status (i.e.

Optimizing tensile strength and energy consumption for FDM through Mixed-Integer Nonlinear Multi-objective optimization and design of experiments.

This study presents a methodology for optimizing key parameters of a fused deposition modeling (FDM) printer to minimize energy consumption (EC) while exceeding a specified tensile strength (TS) threshold. Employing Design of Experiments (DoE) with Taguchi and Response Surface analysis, we identify influential parameters affecting TS and EC. A Mixed-Integer Nonlinear Multi-Objective Optimization model is then utilized to balance TS and EC, resulting in optimal parameter values.

Neutrosophic robust ratio type estimator for estimating finite population mean.

Various authors have put their sincere efforts into proposing ratio estimators for estimating the population's mean and variance under different situations and sampling methods. But the problem arises when data is unstable, imprecise, ambiguous, incomplete and vague. In such situations, classical methods of estimation do not yield precise results, as these methods are not meant for such problems.

The impact of Russo-Ukrainian war, COVID-19, and oil prices on global food security.

Context: Light of recent global upheavals, including volatile oil prices, the Russo-Ukrainian conflict, and the COVID-19 pandemic this study delves into their profound impact on the import and export dynamics of global foodstuffs. With rising staple food prices reminiscent of the 2010-2011 global food crisis, understanding these shifts comprehensively is imperative.

Objective: Our objective is to evaluate this impact by examining six independent variables (year, month, Brent crude oil, COVID-19, the Russo-Ukrainian conflict) alongside six food indicators as dependent variables.

Minimizing grid energy consumption in wastewater treatment plants: Towards green energy solutions, water sustainability, and cleaner environment.

Wastewater treatment plants (WWTPs) consume significant amount of energy to sustain their operation. From this point, the current study aims to enhance the capacity of these facilities to meet their energy needs by integrating renewable energy sources. The study focused on the investigation of two primary solar energy systems in As Samra WWTP in Jordan.

Waste-to-energy barriers and solutions for developing countries with limited water and energy resources.

The environmental risks of conventional waste disposal methods, along with the resource and energy value of waste, have formed the foundation for waste-to-energy (WtE) technology. WtE systems that work on recovering energy present a suitable solution to generate energy and sustainably manage waste. This type of waste management system in the Middle East and North Africa (MENA) region is still considered underutilized as WtE technology is rarely used due to a lack of experience in their specific local conditions, lack of qualified competencies, and the absence of an appropriate regulatory and legislative structure.

Compliance to personal hygiene habits in response to COVID-19 pandemic.

Objective: This study aimed to evaluate the Jordanians' compliance rates in terms of personal hygiene habits in response to the coronavirus disease 2019 (COVID-19) pandemic.

Methods: A descriptive cross-sectional design was utilized to collect data from 651 Jordanians via an electronic self-report questionnaire. Data was analyzed using Statistical Package for Social Sciences software Results: The overall compliance rate for personal hygiene habits among Jordanians was 79 percent (11.

Second inflection point of supercooled water surface tension induced by hydrogen bonds: A molecular-dynamics study.

Surface tension of supercooled water is a fundamental property in various scientific processes. In this study, we perform molecular dynamics simulations with the TIP4P-2005 model to investigate the surface tension of supercooled water down to 220 K. Our results show a second inflection point (SIP) in the surface tension at temperature TSIP ≈ 267.

dissolution equivalence of Jordanian sildenafil generics via validated, stability-indicating HPLC method.

This study was conducted to compare dissolution profiles of four Jordanian registered sildenafil (SDF) products to the originator. Dissolution samples were analyzed utilizing a validated and stability-indicating HPLC method in human plasma. Validation was performed for specificity, linearity, limit of detection, lower limit of quantification, precision, trueness and stability.

Global Health Competencies of Undergraduate Nursing Students in Jordan.

This study aimed to assess and compare the global health competencies (GHCs) of nursing students in Jordan. GHCs are crucial to ensure the delivery of culturally sensitive care to diverse populations. A cross-sectional survey using the GHC questionnaire was administered to 256 nursing students.

Perceptions of academic staff toward the objective structured clinical examination (OSCE) in clinical nursing: Assessment method.

Background: Clinical competence is critical to evaluating nursing students' capacity to undertake professional nursing practice in a safe and professional environment without any bias of examiners. Objective structured clinical examination (OSCE) is used as an assessment method of students' clinical practice skills.

Aims: The aim of this study is to assess the nursing faculty members' perception toward OSCE to be used as an assessment method of nursing students in their performing of nursing procedures, as well as explore the advantages and disadvantages of OSCE as perceived by study participants.