Gamification in Hybrid Teacher Professional Development

The paper investigates the concept of hybrid teacher professional development for in-service teachers in the light of the emerging concept of gamification. This study makes a case for future researchers to explore the effect of gamification on teacher engagement in teacher professional development programs. The existing literature indicates that gamification leads to better employee engagement. Therefore, the paper argues that it will also lead to better teacher engagement in training programs. A gamified hybrid training program for in-service teachers has been developed. Various game elements like points, badges, and profile customization have been proposed to induce game dynamics in gamification implementations. The paper analyses how gamification leads to better engagement by exploring the linkages with various psychological theories

Evolution of IS Competencies due to Mandatory Telework on Organizational scale – A Work-Systems Approach

Given the recent pandemic crisis, telework has become a mandatory practice for organizations across the world. Mandatory large scale implementations of telework are an abrupt technological shift in organizations which presents a unique set of challenges for organizational competencies. In this research initiative, we derive from the work systems framework to analyze the consequences of telework shift on organizational competencies from a resource-based view. Many organizations are inexperienced and unprepared to implement telework on an organizational scale. We analyze how organizations have been affected by these large scale implementations of mandatory telework and how the competencies of these organizations have been affected. Content and thematic analysis of several interviews of managers across organizations supervising teleworking teams have been done to provide insights into how IS competencies have been affected by this shift

Gamification at Workplace: Theories, constructs and conceptual frameworks

Gamification has been an active area of interest for both academicians and practitioners for the last decade. Gamification has extended its application to many areas, including the workplace. This study aims to shed light on the theoretical scenario of the gamification literature at the workplace. The article reviews the recent literature on gamification in this context and analyses the theories, constructs, and frameworks used to study the phenomenon. There is a lack of focus on the theoretical framework in the existing reviews. We create a broad taxonomy of theories used in the literature of gamification of the workplace. Further, we also propose a causal-chain framework to explain how gamification influences employees in the workplace. The results indicate that gamification at the workplace is still in its nascent stage and requires more rigorous and in-depth research. We believe that the insights generated provide research avenues for future research studies

Policy Implementation Roadmap, Diverse Perspectives, Challenges, Solutions Towards Low-Carbon Hydrogen Economy

Hydrogen is a nearly emission-free energy carrier with many enticing qualities, including wide availability, environmental friendliness, and a high calorific value. There have constantly been a lot of challenges to establish an entire fledge low carbon hydrogen economy in the past century. This study aims to critically analyse the economic, environmental, technological, and policy implementation and division of low-carbon hydrogen to find novel solutions, bridging the gaps and giving a perspective approach to the study. Differentiation of various low carbon hydrogen (LCH) components, including green and blue hydrogen, was also proposed based on the life cycle assessment emissions (LCAE). Current policy perspectives and Promised Pledged Perspectives are considered to project hydrogen demand in 2030. A thorough economic analysis of low-carbon hydrogen system technologies is also conducted from both hydrogen production and storage perspectives by comparing various production and storage systems. Current Policies towards LCH were critically viewed from policymakers, consumers, and R & D perspectives, through which several challenges, gaps, and keynote necessities were also stated.   Received: 8 October 2023 | Revised: 19 February 2023 | Accepted: 8 March 2024    Conflicts of Interest The authors declare that they have no conflicts of interest to this work.   Supplementary Information Supplementary file

Optimizing Electric Vehicle Efficiency with Real-Time Telemetry using Machine Learning

In the contemporary world with degrading natural resources, the urgency of energy efficiency has become imperative due to the conservation and environmental safeguarding. Therefore, it's crucial to look for advanced technology to minimize energy consumption. This research focuses on the optimization of battery-electric city style vehicles through the use of a real-time in-car telemetry system that communicates between components through the robust Controller Area Network (CAN) protocol. By harnessing real-time data from various sensors embedded within vehicles, our driving assistance system provides the driver with visual and haptic actionable feedback that guides the driver on using the optimum driving style to minimize power consumed by the vehicle. To develop the pace feedback mechanism for the driver, real-time data is collected through a Shell Eco Marathon Urban Concept vehicle platform and after pre-processing, it is analyzed using the novel machine learning algorithm TEMSL, that outperforms the existing baseline approaches across various performance metrics. This innovative method after numerous experimentation has proven effective in enhancing energy efficiency, guiding the driver along the track, and reducing human errors. The driving-assistance system offers a range of utilities, from cost savings and extended vehicle lifespan to significant contributions to environmental conservation and sustainable driving practices

Brakes Analysis of BAJA ATV

In the modern day and age where automobiles are an essential part of our day to day life, the requirements of each are different. Some demand for a high-performance machine whereas others require a comfortable ride. The modern engineering helps in achieving all the aspects of a safe, reliable and fast vehicle. With the change in time, the need for an all-terrain vehicle has gradually increased. The research paper includes the optimisation of braking system for minimum stopping distance and locking all four tyres simultaneously. The SolidWorks struct-static analysis and simulation are done to obtain a better braking system which can provide the best in class arrangements for the customer. The research focused on disc, master cylinder position. The designs provide the sturdiness and durability which is the primary requirement for an all-terrain vehicle. The study comprises of braking for BAJA-ATV. The all-terrain conditions require active braking and all wheels locking at the instant time. The research paper includes the parameters for the efficient disc, callipers, master cylinder position for effective braking

Recognition Character Sanskrit Using Convolution Neural Network

This research presents a pioneering approach using Convolutional Neural Networks (CNNs) for character recognition in Sanskrit, a language renowned for its intricate script and diverse character set. Addressing challenges posed by Sanskrit's complex script and historical variations in writing styles, we developed a CNN-based model that undergoes meticulous preprocessing to enhance image quality and normalize writing styles. Trained on a substantial dataset of annotated Sanskrit characters, our model showcases remarkable accuracy in recognizing Sanskrit characters, even amidst noise and diverse writing styles. This achievement holds significant implications for digitizing ancient manuscripts, aiding linguistic research, and preserving cultural heritage. Automating Sanskrit character recognition accelerates the analysis of Sanskrit texts, offering insights into linguistic evolution, cultural practices, and historical narratives. Moreover, this research lays a foundation for advancing character recognition techniques in complex scripts and languages, fostering opportunities for preserving and exploring diverse cultural heritages worldwide

Reciprocal Relationship Between HDAC2 and P-Glycoprotein/MRP-1 and Their Role in Steroid Resistance in Childhood Nephrotic Syndrome

Background: Reduced HDACs levels have been reported in steroid resistant chronic obstructive pulmonary disease and bronchial asthma patients. P-glycoprotein (P-gp) over expression in peripheral blood mononuclear cells (PBMCs) has been reported in patients with steroid resistant nephrotic syndrome (NS). Whether and how HDACs and P-gp are linked with each other is not clear, especially in NS patients.Aim: To evaluate mRNA expression of P-gp/MRP-1 and HDAC2 in PBMCs of steroid sensitive (SSNS) and steroid resistant nephrotic syndrome (SRNS) patients, and determine the relationship between expression of HDAC2 and P-gp/ MRP-1in NS patients.Methods: Twenty subjects (10 in each group), SSNS (mean age 7.54 ± 3.5 years), and SRNS (mean age 8.43 ± 3.8 years) were recruited. mRNA expression of HDAC2 and P-gp/MRP-1 was studied by quantitative real time PCR. PBMCs were treated with Theophylline, 1 μM, and Trichostatin A, 0.8 μM, for 48 h for induction and suppression of HDAC2, respectively.Results: At baseline, expression of P-gp (4.79 ± 0.10 vs. 2.13 ± 0.12, p < 0.0001) and MRP-1 (3.99 ± 0.08 vs. 1.99 ±0.11, p < 0.0001) on PBMCs were increased whereas, HDAC2 mRNA levels (2.97 ± 0.15 vs. 6.02 ± 0.13, p < 0.0001) were significantly decreased in SRNS as compared to that of SSNS patients. Compared to baseline, theophylline reduced mRNA expression of P-gp and MRP-1 (fold change 2.65 and 2.21, *p < 0.0001 in SRNS) (fold change 1.25, 1.24, *p < 0.0001 in SSNS), respectively. However, it increased the expression of HDAC2 (fold change 5.67, *p < 0.0001 in SRNS) (fold change 6.93, *p < 0.0001 in SSNS). Compared to baseline, TSA treatment increased mRNA levels of P-gp and MRP-1 (fold change 7.51, 7.31, *p < 0.0001 in SRNS) and (fold change 3.49, 3.35, *p < 0.0001 in SSNS), respectively. It significantly decreased the level of HDAC2 (fold change 1.50, *p < 0.0001 in SRNS) (fold change 2.53, *p < 0.0001 in SSNS) patients.Conclusion: Reduced HDAC2 and increased P-gp/MRP-1 activity may play a role in response to steroids in childhood NS. HDAC2 and P-gp/MRP-1 are in reciprocal relationship with each other

Study of Structural and Electronic Properties of CsMgCl3 Compound

In this report, we have investigated the CsMgCl3 compound with the help of the WIEN2K software package. The structural and electronic properties are performed using the full potential augmented plane wave (FP-LAPW) method with the generalised gradient approximation (GGA) approximation as exchange correlation potentials. We used the Birch-Murnaghan equation (BME) to find the structural properties of the material. These include the lattice parameter, the bulk modulus, the first derivative of the bulk modulus, the minimum energy, and the volume. The structural properties match up with the experimental data. Electronic properties in terms of the band structure (BS) and total and partial density of state (T-DOS and P-DOS) profiles of CsMgCl3 using GGA potentials exhibit an indirect wide energy band gap of 5.35 eV. All these properties show that the CsMgCl3 compound is used as a perovskite in solar cells