Asymmetric effects of remittances on output in expansions and recessions.

Using non-linear methods, we argue that current research on estimates of remittance multipliers in expansions and recessions may yield biased results by ignoring whether remittances are increasing or decreasing. We employ an extended non-linear ARDL model to decompose remittance data into positive and negative shocks during expansions and recessions with data from the top eight remittance-receiving developing countries. We find that a decline in remittances will reduce output in expansions.

Assessment of malaria transmission in Kenya using multilevel logistic regression.

Background: Kenya has a lower malaria incidence in comparison to other African malaria-endemic nations. Malaria is a significant public health concern in the country. The malaria indicator survey (MIS) data were analyzed using the logistic regression model.

Machine learning-based optimal temperature management model for safety and quality control of perishable food supply chain.

The management of a food supply chain is difficult and complex because of the product's short shelf-life, time-sensitivity, and perishable nature which must be carefully considered to minimize food waste. Temperature-controlled perishable food supply chain provides the highly crucial facilities necessary to maintain the quality and safety of the product. The storage temperature is the most vital factor in maintaining both the quality and shelf-life of a perishable food.

From status to sustainability: How social influence and sustainability consciousness drive green purchase intentions in luxury restaurants.

In today's marketing landscape, consumer demand for eco-friendly products is on the rise, yet the psychological factors that encourage green purchasing intentions remain unclear. To address this research gap, the current study builds on Social Identity Theory to explore the role of social influence and sustainability consciousness in shaping customers' green purchase intentions. Data were collected through a survey of 406 customers at Saudi Arabian upscale restaurants and analyzed using structural equation modeling.

Nutritional status of Saudi obese patients undergoing laparoscopic sleeve gastrectomy, one-year follow-up study.

Bariatric surgery has significantly increased globally as an effective treatment for severe obesity. Nutritional deficits are common among candidates for bariatric surgery, and follow-up of nutritional status is critically needed for post-surgery healthcare management. This observational prospective study was conducted at King Khalid University Hospital in Riyadh.

Who is the next leader? Understanding women leadership development and succession planning in Saudi Arabian higher educational institutions.

Leadership development and succession planning is a valuable strategy for closing the gender gap and providing an equal chance for males and females to be trained and involved in leadership roles. This strategy is an incredibly effective tool in higher education, where there is a significant disparity between male and female academic leaders. Despite its effectiveness, succession planning remained an overlooked component of the higher education system.

Data on selfـــefficacy and its sources during the COVID-19 crisis: A Saudi auditor's perspective.

Background: Auditors during COVID-19 experienced an unprecedented situation, in which normal audit activities were difficult to conduct. Moreover, COVID-19 forced auditors to introduce a new audit approach, "remote auditing," which was not common in most audit firms and required the adoption of more advanced technologies. Overall, auditors during the COVID-19 pandemic needed both cognitive and technical factors to deliver high-quality audits.

Variance estimation using memory type estimators based on EWMA statistic for time scaled surveys in stratified sampling.

In this article, we have proposed memory-type exponential and non-exponential estimators for population variance based on exponentially weighted moving average (EWMA) statistic in stratified sampling. We drive mathematical expressions for mean square errors of the proposed estimators using Taylor and exponential expansions. Our analysis demonstrates that the proposed memory-type estimators outperform the conventional estimators under stratification, particularly, when the information of previous sample is utilized.

Assessment of the elevation-dependent warming in the Qinling-Daba Mountains and its relationship with land surface albedo and aerosol optical depth from 2001 to 2021.

In this paper, we examined the elevation-dependent warming (EDW) patterns of MODIS LST across different seasons in the Qinling-Daba Mountains, further investigate the connections between the EDW patterns of Land surface temperature (LST) and land surface albedo (ALB) as well as aerosol optical depth (AOD). The key findings include: (1) Our study reveals a robust correlation between LST and air temperature in the Qinling-Daba Mountains, suggesting the feasibility of using MODIS LST to predict the temperature trends (2) During the period from 2001 to 2010, MODIS LST shows a significant EDW trend, primarily in the spring season. In contrast, a negative EDW is observed in the period during 2011-2021, which is contrary to the earlier decade, particularly during the autumn and winter seasons.

The relationship between heterogeneous institutional investors and operational performance: Evidence from mergers and acquisitions.

This study investigates the relationship between institutional investors and the inventory performance of companies engaged in mergers and acquisitions (M&As). Specifically, we examine the role of institutional ownership in the selection of target firms and their post-M&A performance. Additionally, we analyze how the effects of institutional investors vary based on their investment horizons and strategies.

Arabinogalactans-rich microwave-assisted nanomucilage originated from garden cress seeds as an egg replacement in the production of cupcakes: Market orientation and in vitro digestibility.

The increasing demand for functional foods arises from concerns regarding food allergies, dietary restrictions, and ethical considerations related to egg consumption. Consequently, this study investigates the feasibility of using arabinogalactan-rich nanomucilage derived from garden cress seeds as an egg replacement in cupcake production. The microwave-assisted process resulted in 23.

Media coverage as a moderator in the nexus between audit quality and ESG performance: Evidence from China.

In response to growing pressure on companies to manage and improve their reputation regarding environmental, social, and governance (ESG) issues, the audit is regarded as a vital resource for ensuring ESG risk management, improving transparency, mitigating opportunistic constraints, and guaranteeing accurate reporting. The objective of this paper was to investigate the role of audit quality in improving ESG performance, as well as to examine the role of media coverage represented by ESG controversy score in moderating these relationships. We analyzed 303 Chinese companies with 2,121 observations covering the period from 2017 to 2023.

Biogenic zinc oxide nanoregulator determines the quantitative analysis of morpho-anatomical and antioxidant capacity in .

Zinc oxide nanoparticles (ZnO NPs) can possibly serve as a pervasive source of essential nutrient zinc in agricultural crops in the future. The major environmental concerns with ZnO NPs might be their toxicity and incorrect dosage, which might lead to crop damage and environmental pollution. Interplay between ZnO NPs and () will be of interest, yet little is known about apropos interaction of these two, which will assist in optimizing the dose of ZnO NPs for their commercial use in agriculture.

Big data-based reference centiles for body composition in Korean children and adolescents: a cross-sectional study.

Background: The changes in body composition during puberty not only contribute to the differences in body composition between adult males and females but also have associations with growth problems and metabolic disorders, including obesity. Therefore, understanding the changes in body composition during the pubertal period and analyzing reference values based on race and gender are essential research resources. The objective of this study was to generate reference centiles for body composition on a monthly basis using an extensive dataset of body composition information from Korean children and adolescents.

Forecasting mortality and DALYs from air pollution in SAARC nations.

This study investigates the projected impact of air pollution on mortality and Disability-Adjusted Life Years (DALYs) across SAARC countries. Utilizing Time Series and Machine Learning methodologies such as Autoregressive Integrated Moving Average, Exponential Smoothing, and Neural Network, the research aims to accurately forecast the mortality and DALYs attributed to air pollution from 2020 to 2030. Statistical analyses reveal a consistent upward trend in deaths and DALYs during the forecasting period, primarily driven by Ambient Particulate Matter Pollution (APM) and Ambient Ozone Pollution (AOP).

Smart Vision Transparency: Efficient Ocular Disease Prediction Model Using Explainable Artificial Intelligence.

The early prediction of ocular disease is certainly an obligatory concern in the domain of ophthalmic medicine. Although modern scientific discoveries have shown the potential to treat eye diseases by using artificial intelligence (AI) and machine learning, explainable AI remains a crucial challenge confronting this area of research. Although some traditional methods put in significant effort, they cannot accurately predict the proper ocular diseases.

Trust Dynamics in Financial Decision Making: Behavioral Responses to AI and Human Expert Advice Following Structural Breaks.

This study explores the trust dynamics in financial forecasting by comparing how individuals perceive the credibility of AI and human experts during significant structural market changes. We specifically examine the impact of two types of structural breaks on trust: Additive Outliers, which represent a single yet significant anomaly, and Level Shifts, which indicate a sustained change in data patterns. Grounded in theoretical frameworks such as attribution theory, algorithm aversion, and the Technology Acceptance Model (TAM), this research investigates psychological responses to AI and human advice under uncertainty.

Revisiting Compassion and Job Performance: A Constructive Study in South Korean Public Art Institutions.

This study empirically examines how employee compassion relates to job performance. Specifically, this study is a constructive replication and expansion of a previous study on the relationship between compassion and job performance using multiple sources of measurement. It investigates unexplored pathways within the public art sector in South Korea.

Factors affecting the quality of work life for industrial labour force: empirical evidence from a developing country.

The success of any organization requires a skilled, competent, and satisfied workforce. If the workforce can be provided with the necessary components to ensure a high quality of working life, they will become permanent assets. Various factors undoubtedly affect the quality of workers' work lives.

Evaluating the Sustainable Competitive Advantage of Saudi e-Healthcare System: An Empirical Study.

Study Purpose: This study seeks to investigate the various dimensions contributing to the sustainable competitive advantage of the Saudi eHealthcare system.

Methods: A cross-sectional survey design was adopted in this study. Eleven factors were identified that may affect the sustainable competitive advantage, which were embedded in to the survey questionnaire.