Electricity storage systems (ESSs) are potential solutions to facilitate renewable energy transition. Lack of viable business models, as well as high levels of uncertainty in technology, economic, and institutional factors, form main barriers for wid...
This article employs exploratory data-driven modeling to examine the relationships between selected macroeconomic indicators, residential property prices, and housing affordability pressures in Poland between 2020 and 2024. This turbulent period was...
Background/Objectives: Two diagnostic approaches for sleep studies are commonly used worldwide: in-laboratory polysomnography [PSG] and home sleep apnea testing [HSAT]. Although HSAT has gained increasing acceptance due to its convenience and lower c...
The level of unemployment in a region can be a good illustration of its socio-economic development. The choice of the data modeling method, both in terms of spatial and time-spatial approaches depends on the results of exploratory data analysis. The...
Infrastructure project reports contain rich narrative evidence on delay causes, yet transforming such unstructured text into reliable causal knowledge remains challenging because reports mix confirmed events with hypothetical, conditional, or localiz...
This paper discusses challenges for M&S if it is to be increasingly important to decision aiding and policy analysis. It suggests an approach that—from the outset of a policy analysis project—incorporates M&S of a varied resolutio...
9 September 2019
The purpose of the current investigation is the construction and validation of the Self-Efficacy Scale (ACAES) through a deliberate sample of 1101 Chilean school students. The methodological procedure was carried out from the classic approach perspec...
The optimization of overhead hoist transport (OHT) systems in semiconductor manufacturing plays a crucial role in improving production efficiency. In this study, the development of a discrete event simulation model to analyze the physical and control...
In differentiated learning, the teacher needs to be aware of the learning styles of students in the classroom to accommodate specific learning preferences, e.g., the Felder–Silverman learning style model. The corresponding instrument, i.e., the...
Power outages pose considerable risks to the reliability of electric grids, affecting both consumers and utilities through service disruptions and potential economic losses. This study analyzes a historical outage dataset from a Regional Transmission...
In the context of green and high-quality development, effectively enhancing industrial carbon emission efficiency is critical for reducing carbon emissions and achieving sustainable economic growth. This study explored this research area using three...
The aim of the present study was to examine the Body Image Satisfaction Questionnaire (BISQ) as a multidimensional instrument, designed to measure individuals’ body image satisfaction. A sample of 790 Portuguese healthy adults (female = 399; male = 3...
This study develops and tests factor-based and holistic theoretical models to explain the relationships between Spatial Quality Satisfaction (SQS), Overall Dormitory Satisfaction (ODS), and Place Attachment (PA) in student dormitories. Data collected...
8 August 2018
Compared with the conventional building, the industrialized building (IB) promotes the sustainable development of the construction industry, which will become a growth trend in the future. Nevertheless, the progress of industrialized building is inti...
This article examines intrusion detection systems in depth using the CSE-CIC-IDS-2018 dataset. The investigation is divided into three stages: to begin, data cleaning, exploratory data analysis, and data normalization procedures (min-max and Z-score)...
Background: The relationship between selfie addiction and narcissism in students at the Universidad Autónoma de Zacatecas (UAZ, Autonomous University of Zacatecas), Mexico, was analysed. The aim of this study was to identify the narcissistic f...
This study employed a localized bilingual education model developed in Taiwan to design a questionnaire targeted at junior high school students. The questionnaire was validated using exploratory factor analysis. Reliability testing indicated Cronbach...
Generative artificial intelligence is gradually infiltrating contemporary socio-technical systems, affecting work practices, labor market participation, and the dynamics of labor-related costs. In this paper, we analyze cross-sectional relationships...
Human mobility, encompassing the movement of individuals and/or groups across space and time, significantly impacts various aspects of society, with intra-urban mobility being a major research focus of scholars in diverse disciplines. Bike-sharing sy...
This study presents the initial validation of the IMPACT model, a psychometric tool developed to evaluate how university faculty adopt ChatGPT in higher education. It specifically addresses the existing gap in validated instruments designed for educa...
China’s construction industry is facing significant challenges in achieving sustainable development and digital operations. Integrating building information modeling (BIM) and sustainable construction is a good method for achieving these goals....
Shared mobility services furnish convenient transportation alternatives for individuals without vehicle ownership or a preference against driving. Shared mobility could benefit developing countries by providing a cost-effective alternative, enhancing...
One of the most important priorities of the most recent research work regarding the professional appraisal (PA) process is to understand different aspects of the social workers’ satisfaction with this particular type of professional evaluation....
The rise of 5G networks is driven by increasing deployments of IoT devices and expanding mobile and fixed broadband subscriptions. Concurrently, the deployment of 5G networks has led to a surge in network-related attacks, due to expanded attack surfa...
Liquefaction and dynamic separation of moisture-sensitive solid bulk cargoes may remain latent for much of a voyage and then manifest as a sustained heel, leaving a comparatively short interval for emergency action. This study develops an exploratory...
Non-alcoholic steatohepatitis (NASH), one of the deleterious stages of non-alcoholic fatty liver disease, remains a significant cause of liver-related morbidity and mortality worldwide. In the current work, we used an exploratory data analysis to inv...
Identifying factors/latent constructs deemed to influence internal audit effectiveness (IAE), through identifying variables used as measures of effectiveness and hypothesising which variables have a statistically significant relationship with IAE was...
Modelling events that change over time is one of the most difficult problems in data analysis. Forecasting of time-varying electric power values is also an important problem in data analysis. Regression methods, machine learning, and deep learning me...
Background: Robotic-assisted surgery has been increasingly adopted across surgical specialties, but objective and efficient assessment of robotic surgical skills remains challenging. The Global Evaluative Assessment of Robotic Skills (GEARS) is commo...
Successful concepts are adopted throughout the phases of the building lifecycle to provide maximum comfort and benefits to occupiers without compromising the function of such a project. Although there is limited information on building information mo...
MNOs are increasingly adopting 5G Fixed Wireless Access (FWA) to meet household demands for high-performance services. This study evaluated the adoption and quality of experience (QoE) of 5G FWA through a multi-phase study. First, it utilized a syste...
Pre-owned cars (i.e., cars with one or more previous retail owners) are extremely popular in Bangladesh. Customers who plan to purchase a pre-owned car often struggle to find a car within a budget as well as to predict the price of a particular pre-o...
This paper utilizes a methodological two-step process incorporating statistical and causal probabilistic modeling techniques to investigate factors affecting the accessibility experiences of persons with disabilities in Canada. We deploy a network-ba...
The integration of Artificial Intelligence (AI) in higher education has the potential to significantly enhance the educational process and student outcomes. However, there is a limited understanding of the factors influencing AI adoption among univer...
Artificial-intelligence acceptance is frequently assessed with broad attitude scores or ad hoc items that do not distinguish trust/reliability, usefulness, ease of use, intended use, and willingness to contribute feedback. This study reports the refi...
Cost overruns are prevalent in global construction industries, propelled by the swift expansion of the construction sector. To tackle this difficulty, it is essential to comprehend the primary elements leading to these overruns. This research examine...
Significant weather-induced delays often plague construction projects in India’s extremely cold regions, yet comprehensive studies addressing this issue remain scarce. This study aims to fill this gap by identifying key delay factors and propos...
The performance of the construction industry can be improved by understanding the factors that affect the productivity of its equipment. A hypothetical framework was used to analyze six vital construction equipment parameters to understand how they a...
Background/Objectives: Diabetes mellitus presents significant management challenges, requiring comprehensive glycemic control, patient education, self-management, and routine monitoring. The study aims to evaluate existing tools and develop a customi...
Despite its numerous benefits, many countries are slow in adopting building information modeling (BIM). As a result, policymakers are implementing different government initiatives (GIs) for enhancing BIM adoption globally. However, it is critical to...
The COVID-19 pandemic is one of the most serious global health crises. It has had a massive impact on the global workforce and workplaces, causing enormous changes in the working environment and raising concerns among organizations. Due to the pandem...
Business management and, more generally, decision makers, are increasingly aware of the importance of corporate social responsibility and ethical choices within the strategic business vision. The number of tools (e.g., board of directors, organizatio...
Under the downward pressure of the economy, China’s extensive economic growth relying on factor input is difficult to sustain, and adjusting the total amount and structure of energy consumption to promote high-quality economic development has b...
Oxidative stress contributes substantially to skin aging, while antioxidant-based cosmetics and nutrition-oriented “skin-from-within” strategies are increasingly popular among young adults. However, no validated Romanian instrument integr...
The Yangtze River Delta urban agglomeration has an extremely important strategic location in the national regional development pattern, is the engine of China’s green economic development, and plays an important role in promoting the green tran...
Background/Objectives: Multimodal large language models (MLLMs) offer potential for automated fracture detection, yet their diagnostic stability under repeated inference remains underexplored. This study evaluates the diagnostic accuracy, stability,...
Based on the economy–society–environment perspective, this study details the causes and characteristics of urban and rural water shortage risks, and then explores the dynamic relationship between urban and rural water shortage risks. It q...
Cotton is more chemically intensive than many other commodities, which negatively impacts rural livelihoods at higher rates. Improvement in environmental stewardship of cotton would substantially impact the long-term sustainability of agriculture in...
While the rural population is decreasing day by day, the urban population is increasing rapidly. Urban growth, which occurs as a result of this increase, is sprawling toward natural and environmental areas in urban fringes, and constitutes the main s...
Over the past three decades, the Yangtze River Delta has undergone a rapid urbanization phenomenon, resulting in pronounced urban sprawl that has significantly impacted regional sustainable development and air quality. This study constructs an urban...
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