Design methodology for dual-band hybrid antennas with off-resonance loading

International audienc

Psychological Wellbeing, Job Burnout and Counter Productive Work Behavior among Drivers of Car Hailing Services in Pakistan: Moderating Role of Captains’ Personality Traits

The present study aims to examine the relationship among psychological wellbeing, job burnout and counterproductive work behavior. Moreover, this study focuses on identifying the moderating role of personality traits among job burnout & counterproductive work behavior. 251 captains from Uber, Careem and Swvl services participated in the research using valid and reliable measures administered via google forms. Based on correlation analysis, the results point towards a positive significant influence of burnout on captain’s counterproductive work behavior. Further results suggest that there is a significant negative correlation of psychological wellbeing with job burnout and counterproductive work behavior. The moderation model generated by SPSS using Hayes Process revealed that extraversion, neuroticism and conscientiousness act as a strong moderator between counterproductive work behavior and job burnout. This study contributes to psychology and organizational behavior literature suggesting that burnout is a contributing factor in shaping individual’s behavior at work. This research also helps driving authorities to recognize that their captain’s psychological wellbeing is extremely important to enhance their overall performance. It is recommended that organizations should arrange counselling and evaluation sessions for the drivers of car hailing services so that they will experience minimal burnout and will show productive work behavior during their duty hours.

Psychological Wellbeing, Job Burnout and Counter Productive Work Behavior among Drivers of Car Hailing Services in Pakistan: Moderating Role of Captains’ Personality Traits

The present study aims to examine the relationship among psychological wellbeing, job burnout and counterproductive work behavior. Moreover, this study focuses on identifying the moderating role of personality traits among job burnout & counterproductive work behavior. 251 captains from Uber, Careem and Swvl services participated in the research using valid and reliable measures administered via google forms. Based on correlation analysis, the results point towards a positive significant influence of burnout on captain’s counterproductive work behavior. Further results suggest that there is a significant negative correlation of psychological wellbeing with job burnout and counterproductive work behavior. The moderation model generated by SPSS using Hayes Process revealed that extraversion, neuroticism and conscientiousness act as a strong moderator between counterproductive work behavior and job burnout. This study contributes to psychology and organizational behavior literature suggesting that burnout is a contributing factor in shaping individual’s behavior at work. This research also helps driving authorities to recognize that their captain’s psychological wellbeing is extremely important to enhance their overall performance. It is recommended that organizations should arrange counselling and evaluation sessions for the drivers of car hailing services so that they will experience minimal burnout and will show productive work behavior during their duty hours.

Satellite synergy: navigating resource allocation and energy efficiency in IoT networks

Satellite-assisted internet of things (IoT) networks have emerged as a beacon of promise, offering global coverage and uninterrupted connectivity. However, the challenges of resource allocation and task offloading in such networks are intricate due to the unique characteristics of satellite communication systems. This research’s findings enrich the landscape of energy-efficient and dependable satellite-assisted IoT networks. The paper navigates the delicate balance between energy efficiency, network throughput, and fairness in distributing resources among IoT devices. The proposed techniques, notably the Outer Approximation Algorithm (OAA), usher in seamless connectivity and resource optimization. The central challenge at hand, a concave fractional programming problem, transforms through the Charnes-Cooper transformation, presenting as a concave optimization enigma. Herein, the proposed outer approximation algorithm takes flight, navigating the intricate paths of concave optimization. The performance of the epsilon-optimal solution faces scrutiny under diverse system parameters—the constellation of IoT devices, their affiliations, fairness considerations, and the equitable distribution of resource blocks. This contribution not only enriches research but also opens doors to the boundless possibilities of satellite-assisted IoT networks

Zinc nutrition application augments morpho-physiological attributes, productivity and grain zinc bioavailability of Paddy Rice

Zinc (Zn) deficiency is the most important micronutrient disorders affecting plants and human health. Present study evaluated the potential of various Zn application methods in improving the performance of selected rice genotypes and Zn bioavailability in grains. Pre-selected Zn application methods through pot experiments were validated in the field. Harvested grains were fed to albino rats for Zn bioavailability. Results revealed that soil + foliar application of Zn was effective in improving the seedling growth of rice genotypes by modulating the agronomic, water related and biochemical attributes. The rats gained more body weight fed with rice genotype Accession-164 (high Zn accumulator) compared with the minimum for Super Basmati (low Zn accumulator) feed. In crux, soil application of Zn at 15 kg ha-1 followed by foliar application of 0.25% ZnSO4.7H2O solution at tillering and heading stages produced the highest grain yield (26.25%, 29.11%) with maximum bioavailable Zn (21.02%, 22.50%) during both years, respectively, in the grains for combating malnutrition in the tested rats

Analysis and numerical approximation of the fractional-order two-dimensional diffusion-wave equation

Non-local fractional derivatives are generally more effective in mimicking real-world phenomena and offer more precise representations of physical entities, such as the oscillation of earthquakes and the behavior of polymers. This study aims to solve the 2D fractional-order diffusion-wave equation using the Riemann–Liouville time-fractional derivative. The fractional-order diffusion-wave equation is solved using the modified implicit approach based on the Riemann–Liouville integral sense. The theoretical analysis is investigated for the suggested scheme, such as stability, consistency, and convergence, by using Fourier series analysis. The scheme is shown to be unconditionally stable, and the approximate solution is consistent and convergent to the exact result. A numerical example is provided to demonstrate that the technique is more workable and feasible

Characterizing indigenous plant growth promoting bacteria and their synergistic effects with organic and chemical fertilizers on wheat (Triticum aestivum)

The excessive use of chemical fertilizers is deteriorating both the environment and soil, making it a big challenge faced by sustainable agriculture. To assist the efforts for the solution of this burning issue, nine different potential native strains of plant growth-promoting bacteria (PGPB) namely, SA-1(Bacillus subtilis), SA-5 (Stenotrophomonas humi),SA-7(Azospirillum brasilense), BH-1(Azospirillum oryzae), BH-7(Azotobacter armeniacus), BH-8(Rhizobium pusense), BA-3(Azospirillum zeae), BA-6(Rhizobium pusense), and BA-7(Pseudomonas fragi) were isolated that were characterized morphologically, biochemically and molecularly on the basis of 16S rRNA sequencing. Furthermore, the capability of indigenous PGPB in wheat (Triticum aestivum, Chakwal-50) under control, DAP+FYM, SA-1,5,7, BH-1,7,8, BA-3,6,7, DAP+ FYM + SA-1,5,7, DAP+FYM+ BH-1,7,8 and DAP+FYM+ BA-3,6,7 treatments was assessed in a randomized complete block design (RCBD). The results of the study showed that there was a significant increase in plant growth, nutrients, quality parameters, crop yield, and soil nutrients at three depths under SA-1,5,7, BH-1,7,8, and BA-3,6,7 in combination with DAP+FYM. Out of all these treatments, DAP+ FYM + BA-3,6,7 was found to be the most efficient for wheat growth having the highest 1000-grain weight of 55.1 g. The highest values for plant height, no. of grains/spike, spike length, shoot length, root length, shoot dry weight, root dry weight, 1000 grain weight, biological yield, and economic yield were found to be 90.7 cm, 87.7 cm, 7.20 cm, 53.5 cm, 33.5 cm, 4.87 g, 1.32 g, 55.1 g, 8209 kg/h, and 4572 kg/h, respectively, in the DAP+FYM+BA treatment. The DAP+FYM+BA treatment had the highest values of TN (1.68 µg/mL), P (0.38%), and K (1.33%). Likewise, the value of mean protein (10.5%), carbohydrate (75%), lipid (2.5%), and available P (4.68 ppm) was also highest in the DAP+FYM+BA combination. C:P was found to be significantly highest (20.7) in BA alone but was significantly lowest (11.9) in DAP+FYM+BA. Hence, the integration of strains BA-3, BA-5, and BA-7 in fertilizers can be regarded as the most suitable choice for agricultural growth in the sub-mountainous lower region of AJK. This could serve as the best choice for sustainable wheat growth and improved soil fertility with lesser impacts on the environment