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This study discusses the flow of hybrid nanofluid over an infinite disk in a Darcy–Forchheimer permeable medium with variable thermal conductivity and viscosity. The objective of the current theoretical investigation is to identify the thermal energy characteristics of the nanomaterial flow resulting from thermo-solutal Marangoni convection on a disc surface. By including the impacts of activation energy, heat source, thermophoretic particle deposition and microorganisms the proposed mathematical model becomes more novel. The Cattaneo-Christov mass and heat flux law is taken into account when examining the features of mass and heat transmission rather than the traditional Fourier and Fick heat and mass flux law. MoS 2 and Ag nanoparticles are dispersed in the base fluid water to synthesize the hybrid nanofluid. PDEs are transformed to ODEs by using similarity transformations. The RKF-45th order shooting method is used to solve the equations. With the use of appropriate graphs, the effects of a number of non-dimensional parameters on velocity, concentration, microorganism, and temperature fields are addressed. The local Nusselt number, density of motile microorganisms and Sherwood number are calculated numerically and graphically to derive correlations in terms of the relevant key parameters. The findings show that as we increase the Marangoni convection parameter, skin friction, local density of motile microorganisms, Sherwood number, velocity, temperature and microorganisms profiles increase, whereas Nusselt number and concentration profile exhibit an opposite behavior. The fluid velocity is reduced as a result of enhancing the Forchheimer parameter and Darcy parameter.

Objective: This study aimed to evaluate the impact of the gamified learning tool “Anatomy Cluedo” on cognitive learning gain and engagement in cranial nerve anatomy among medical students. Methodology: The quantitative research study was carried out in the Department of Anatomy, Shalamar Medical and Dental College, Lahore. In this study 40 students were divided into two groups: the experimental group engaged with “Anatomy Cluedo,” while the control group participated in problem-based learning (PBL). Pre-test and post-test assessments, along with engagement metrics measured by the Flow Short Scale (FSS), were analyzed. Results: The results showed significantly higher cognitive gains in the experimental Group-A (p < 0.001), and strong positive correlations between engagement metrics and learning outcomes (r = 0.78, p < 0.01). Key game elements, such as mechanics, feedback and storytelling, were identified as critical contributors to cognitive learning gains. Conclusion: This study underscores the potential of gamified tools in enhancing engagement and knowledge retention, providing a foundation for further integration of gamification into medical education curricula.

Background Farm workers and female cotton pickers are exposed to residual impacts of pesticide use in cotton production, in addition to dust, ultraviolet radiation, etc. Cotton picking causes various health hazards among cotton pickers with varied health cost. A soil bacterium known as Bacillus thuringiensis (Bt) is incorporated in cotton seed through genetic modification and it has resistance against certain bollworms of cotton. So it is considered that Bt cotton fields have less pesticide exposure compared to non-Bt cotton fields. This study was designed to examine and compare the impacts and health cost of cotton picking among female cotton pickers working in Bt and non-Bt cotton fields. Methods The study used the data collected from Vehari district of Pakistani Punjab. Health hazards and associated health cost of the respondents involved in Bt cotton picking were compared with those who harvested non-Bt cotton. Comparative use of the personal protective measures among those respondents was also examined. Health cost function and its determinants were analyzed using ordinary least square method. Results Findings of the study showed that 61 % cotton pickers from Bt cotton households reported one or more health effects of pesticide during picking season whereas this percentage for non-Bt cotton households was 66 %. Health impacts included skin problems, headache, cough, flu/fever, eye irritation and sleeplessness, however, percentage of these health impacts was comparatively higher among non-Bt cotton households. Health cost from exposure to pesticide use in cotton was US$ 5.74 and 2.91 per season for non-Bt cotton and Bt cotton households, respectively. Education, picking in Bt cotton fields and preventive measures were significantly related with health cost. Conclusion Cotton pickers working in Bt cotton fields are found to have less occupational health hazards compared to those working in non-Bt cotton fields. Thus generating awareness among cotton pickers for adopting precautionary measures during harvesting and the use of Bt cotton seed can result in a decline in the ill-effects of cotton picking.

A survey-based research study was conducted to analyze sustainability practices of large U.S. corporations in their domestic and international operations. Large U.S. corporations were slow to address global environmental challenges, but a majority of them now demonstrate a clear understanding of their responsibilities. Most large U.S. corporations are proactively involved in sustainability and environmentally friendly measures, and their involvement at home is more intense than abroad. Analyses revealed that U.S. corporations engage in eight activities related to sustainability: investing in energy-efficient methods, generating electricity from solar power, generating electricity from wind power, using biofuels, trading carbon credits, supporting environmental organizations, generating electricity from biomass, and generating electricity from hydropower. Of these, only generating electricity from biomass and hydropower were not significantly different with respect to U.S. corporations' foreign and domestic implementation. This paper represents the first attempt to determine whether and how U.S. corporations' efforts to promote sustainability differ with respect to their operational locus (domestic or overseas).

Antennas are a vital component of the wireless body sensor networks devices. A wearable antenna in this system can be used as a communication component or energy harvester. This paper presents a detailed review to recent advances fabrication methods for flexible antennas. Such antennas, for any applications in wireless body sensor networks, have specific considerations such as flexibility, conformability, robustness, and ease of integration, as opposed to conventional antennas. In recent years, intriguing approaches have demonstrated antennas embroidered on fabrics, encapsulated in polymer composites, printed using inkjets on flexible laminates and a 3-D printer and, more interestingly, by injecting liquid metal in microchannels. This article presents an operational perspective of such advanced approaches and beyond, while analyzing the strengths and limitations of each in the microwave as well as millimeter-wave regions. Navigating through recent developments in each area, mechanical and electrical constitutive parameters are reviewed, and finally, some open challenges are presented as well for future research directions.

Suspended particles flowing through complex porous spaces exhibit clogging mechanisms determined by factors including their size, deformability, and the geometry of the confinement. This study describes the clogging of rigid particles in a microfluidic device made up of parallel microchannels that taper from the inlet to the outlet, where the constriction width is approximately equal to the particle size. This converging geometry summarizes the dynamics of clogging in flow channels with constrictions that narrow over multiple length scales. Our novel approach allows the investigation of suspension flow dynamics in confined systems where clogs are formed both by sieving and bridging mechanisms simultaneously. Here, flow tests are conducted at constant driving pressures for different particle volume fractions, and a power-law decay which appears to be peculiar to the channels’ tapered geometry is observed in all cases. Compared to non-tapered channels, the power-law behavior shows flowrate decay is significantly weaker in tapered channels. This weaker flowrate decay is explained by the formation of discontinuous clogs within each channel. Micrographs of the clogged channels reveal clogs do not grow continuously from their initial positions around the channels’ outlet. Rather, new clogs spanning the width of the channel at their points of inception are successively formed as the cake grows toward the inlet area in each microchannel. The results show changes in particle volume fraction at constant driving pressure affect the clogging rate without impacting the underlying dynamics. Unexpectedly, analyses of the particles packing behavior in the microchannels, and post-clogging permeability of the microfluidic devices, reveal the presence of two distinct regimes of driving pressure, though only a small portion of the total device volume and channels surface area are occupied by clogs, regardless of the particle volume fraction. This novel investigation of discontinuous clogging over multiple particle diameters provides unique insights into additional mechanisms to control flow losses in filtration and other confined systems.

Purpose This study aims to examine the impact of flexible work arrangements (FWAs) on employees’ perceived productivity, quality of work and organisational commitment (OC) with a special focus on the United Arab Emirates. It also analyses the mediating effect of employee happiness on the relationship between FWA and employees’ perceived productivity, OC and perceived work quality. Design/methodology/approach A quantitative, non-experimental correlational study was used for this research project. The study yielded numerical data, which were analysed using a deductive approach. The analysis aimed at exploring the relationships between the constructs, which were viewed as variables; these relationships were considered correlations, mediation and moderation. The sample comprises employees currently working at different public and private sector organisations, representing all major service industries in the UAE. Nine questions were used to assess the flexibility at work and six out of the nine questions were used to measure the level of FWAs using the Likert scale. Findings FWA has a significant and positive association with the employees’ perceived productivity, quality of work and OC. It was confirmed that happiness plays a mediating role in the relationship between FWA and employee outcomes. The facility allows employees to manage their personal and professional lives with ease using their preferred work method. This ability promotes employee satisfaction. In conclusion, managers and employees around the world should view FWAs as a positive tool to enhance employee productivity and OC, particularly in an emergency like the Covid-19 pandemic. Research limitations/implications The participants’ honesty was a limitation, which could raise questions on the validity of this study. This limitation arises when the self-report method is used for data collection. Use of multiple instruments could be another limitation. Practical implications Organisational leaders can use FWAs to improve employee outcomes. When an organisation grants flexible work options to employees, it implies that the organisation trusts its employees to complete the task. This factor motivates all employees to work with dedication, which is particularly true if the employees are creative people and wish to work on their preferred time and place. Originality/value This study is significant because the findings will allow managers to assess the benefits of using FWAs to improve employee productivity, particularly in the service sector. It combines the aspects of perceived productivity, OC and perceived work quality, as well as employee happiness to assess the role of FWAs in organisations. The study also investigates the influence of FWAs in improving these employee outcomes. Based on the literature review, this study on FWAs is the first of its kind in the UAE, the country using a truly multinational workforce coming from more than 100 countries and cultures.

Background Early identification of students at academic risk is critical in health sciences education, particularly in regions prioritizing healthcare workforce development. This study evaluated the application of established machine learning (ML) classifiers as a regional case study in the United Arab Emirates (UAE), using first-term midterm performance as early, formative assessment indicators of academic integration and student persistence. Methods Academic records from 346 first-year students across seven programs were analyzed. All students were enrolled in three common courses: Biology, English for Medical Sciences, and Introduction to Health Sciences. Five supervised ML models (XGBoost, Random Forest, Logistic Regression, Gradient Boosting Machine (GBM), and Naïve Bayes) were trained using Random Over-Sampling Examples (ROSE) with five-fold cross-validation. Model performance was assessed with F1-scores and area under the curve (AUC). Interpretability was examined via variable-importance plots and Shapley Additive exPlanations (SHAP) for XGBoost. Results XGBoost and Logistic Regression showed the highest performance (F1 = 0.84; AUC > 0.91). Midterm scores in Biology and Introduction to Health Sciences were consistently the strongest predictors, and SHAP analyses indicated they had the largest case-level impact on risk predictions. Conclusions Findings demonstrate the feasibility of using midterm grades as early, pedagogically meaningful indicators to identify at-risk students in a UAE health sciences context. While limited in scope to one cohort and institution, the study provides regionally relevant evidence to support timely academic interventions. Future research should include behavioral and psychosocial predictors and validate across multiple cohorts and institutions. Trial registration Not applicable.

The proposed study explores the effects of thermo-solutal Marangoni convection on radiated Jeffrey fluid in the presence of gyrotactic microorganisms, nanoparticles and dust particles over a Riga plate. The Riga plate is composed of magnets and electrodes organized on a plate. The Lorentz force grows exponentially in the vertical direction because the fluid conducts electricity. The Dufour–Soret effects and activation energy are discussed in the present model. The molten crystal development, the expansion of vapor bubbles during nucleation, thin-film diffusion and semiconductor fabrication are few applications of Marangoni convection. We combined dust particles with microorganisms in present study to enhance the mass transport phenomena. The main objective of this study is to determine the thermal mobility of nanoparticles with C 2 H 6 O 2 ethylene glycol as base fluid. For the thermal analysis, Fe 3 O 4 and Cu nanoparticles are more effective elements. With the use of new set of similarity variables, the governing PDEs are converted into ODEs, which are then numerically solved using the MATLAB (RKF-45th) technique. The results reveal that the velocity profiles rise for both the fluid and dust phases, while the thermal, microorganism and concentration profiles decline as the Marangoni convection parameter rises. By increasing the value of Marangoni convection parameter up to 10 % the values of heat transfer and mass transfer enhance up to 9 % and 7.15 % , respectively.

The operation of smart buildings (with solar, storage and suitable power routing infrastructure) can be optimized with the addition of parking stations for electric vehicles (EVs) with vehicle-to-everything (V2X) operations including vehicle-to-vehicle (V2V), vehicle-to-building (V2B) and vehicle-to-grid (V2G) operations. In this paper, a multi-objective optimization framework is proposed for the smart charging and discharging of EVs along with the maximization of revenue and savings of smart building (prosumers with solar power, a battery storage system and a parking station) and non-primary/ordinary buildings (consumers of electricity without solar power, a battery storage system and parking station). A mixed-integer linear program is developed to maximize the profits of smart buildings that have bilateral contracts with non-primary buildings. The optimized charging and discharging (V2X) of EVs at affordable rates utilizing solar power and a battery storage system in the smart building helps to manage the EV load during on-peak hours and prevent utility congestion. The results indicate that in addition to the 4–9% daily electricity cost reductions for non-primary buildings, a smart building can achieve up to 60% of the daily profits. Further, EVs can save 50–69% in charging costs while performing V2X operations.