In today's dynamic business environment, organizations strive to optimize performance by integrating socio-technical aspects effectively. This study employs quantitative analysis to investigate the relationship between socio-technical integration and organizational performance. With a sample of 240 respondents chosen via convenience sampling, hypotheses testing was conducted to explore this relationship. The findings reveal significant positive associations between socio-integration and organizational performance metrics, as well as between technical integration and organizational performance metrics. These results underscore the importance of striking a balance between social and technical elements to enhance organizational performance. This study contributes to understanding how socio-technical integration can be leveraged to maximize organizational effectiveness in contemporary workplaces.

Diabetes mellitus falls under the category of non-communicable diseases which significantly affects the human life today. There are multiple reasons for which Indian population contains more than 62 million diabetic people, significantly evident reasons for the same are new life style & work culture accepted by people now days. It increases the blood sugar concentration to dangerous levels. It is a condition that risk the life of patient as well as to sustain normal condition a significant amount of money need to be spent on medicines for the rest of the life. Using Big Data and Machine learning on large amount of data which is generated by medical systems could be incorporated to develop and train the models which can be utilized for predicting. Big Data can be used in medical systems to reduce time and increase reliability. Machine Learning can be incorporated to make predictive systems. There are many factors such as BMI, Sex, Family History, HbA1c, and Area of Residence which can be used to predict weather the subject under the observation is diabetic or not, if not then what is the probability that he may be diabetic in future.

Glaucoma, a leading cause of irreversible blindness worldwide, necessitates early and accurate diagnosis to prevent significant vision loss. Recent advancements in deep learning have revolutionized medical imaging, offering promising tools for automated glaucoma detection from fundus images. This review paper provides a comprehensive overview of the current state-of-the-art deep learning techniques for glaucoma identification, summarizing various methodologies, datasets, performance metrics, and highlighting the challenges and future directions in this domain.

This paper explores the integration of the Proximal Policy Optimization (PPO) algorithm in a 2D racing game created with Unity, aiming to demonstrate AI's transformative potential in gaming. By training an autonomous agent within the game’s environment, the study addresses challenges in environment design and algorithm optimization. It focuses on how PPO can enhance performance and adaptability in dynamic racing scenarios, offering insights into the synergy between game development and reinforcement learning.

Exponentially rising energy demands, excessive use of fossil fuel resources, ever rising level of greenhouse gases are causing global warming and climate change and are posing a big threat to human population, animals and plant species. The use of fossil fuels during the last 150 years has exceeded several times more than their use prior to this period. Excessive release of carbon emissions into the environment due to burning of fossil fuels for energy production and for other purpose is responsible for climate change and atmospheric pollution. These environmental concerns are compelling nations to reduce use of energy by increasing energy efficiency and by making use of alternative sources of energy which are renewable and sustainable and also keep the environment clean and healthy along with capture of carbon di-oxide and sequestration of flue gas to mitigate and reverse climate change. The global efforts on stopping and reversing climate change and the environmental commitments made by India at Paris and Glasgow Summits to reduce emissions intensity by 45% by 2030 from 2005 levels and its road map for energy sustainability are reviewed in the paper.

The rapid evolution of Thin Film Transistor (TFT) technologies has led to their adoption in flexible electronics, revolutionizing modern applications such as foldable displays, wearable sensors, and flexible photovoltaic systems. TFTs, which primarily utilize semiconductor materials in the form of thin films, have transformed from rigid substrates to flexible platforms, enabling unprecedented flexibility, mechanical robustness, and lightweight designs. This review discusses the progression of TFT technologies, focusing on material innovations, manufacturing techniques, and applications in flexible electronics. Emerging trends such as organic, oxide-based, and carbon-based TFTs are also analyzed to highlight future advancements.

This study investigates the experimental dynamics of charging and discharging within a Latent Thermal Energy Storage, amplified by a carefully engineered Triplex Tube Heat Exchanger. As evident, the previous literature predominantly centered on analytical approaches, this research pioneers experimental studies aimed at grasping the temperature dynamics within the LTES when coupled with the TTHX. Furthermore, the research endeavors to anticipate the charging and discharging behavior of the phase change material employed in the LTES. The heat transfer process within the system employs water as the heat transfer medium, while paraffin wax (with a transition temperature range of 58-60°C) acts as the phase change material. The results presented herein underscore the effectiveness of the TTHX design in facilitating proficient heat transfer within the LTES. This experimental investigation incorporates three distinct modes of operation, offering a comprehensive insight into the heat transfer mechanisms within the system.

Efficient food preservation is essential to tackle global food security challenges, particularly in developing countries where post-harvest losses reach 30–40%. Open sun drying (OSD) remains inefficient and prone to spoilage, underscoring the need for advanced methods. This study evaluates direct solar tunnel/greenhouse and indirect solar dryers as sustainable alternatives. Indirect solar dryers provide better control over drying conditions, offering protection against environmental factors for diverse materials. Solar tunnel dryers, with scalable designs and space efficiency, are suited for large-scale agricultural drying. The current study emphasizes advancements in solar dryer designs, including energy storage integration, optimized orientation, and airflow management, to enhance drying efficiency, reduce energy consumption, and maintain product quality. By leveraging renewable energy, these technologies address post-harvest losses, ensuring food security and promoting environmental sustainability. Solar drying emerges as a viable, eco-friendly solution for agricultural preservation, aligning with global efforts to mitigate food wastage and economic instability.

This study investigates the application of Regression in predictive modeling by examining the relationships between 3 independent-variables (x1, x2 and x3) and ‘y’ as a dependent-variable. It shows the application of Regression in the domain of Plastic injection moulding, Welding, electric discharge machining and Casting. Utilizing a dataset with 22 observations, the analysis demonstrates that x1, x2, and x3 significantly influence y, with the regression model achieving an R-squared value between 75% and 90%. The results highlight the positive correlations between each independent variable and y, suggesting their substantial predictive power. The study underscores the effectiveness of Multi Linear Regression (MLR) in understanding complex variable interactions and provides insights into the model's fit and reliability

Metal matrix composites (MMCs) are increasingly recognized as advanced engineering materials across various industries, such as aerospace, automotive, electronics, thermal management, and wear-resistant applications, due to their exceptional properties, including high tensile strength, hardness, Young’s modulus, and enhanced wear resistance. The mechanical performance of metal matrix composites (MMCs) is depending on the various factors, such as the type, shape, size, volume fraction, and orientation of the reinforcements embedded in the matrix. Al 5083 alloy, characterized by its high magnesium content, is widely used in marine and automotive applications, Automotive Trailers and Caravans, cryogenic vessels, armored vehicles, and wind turbine components. However, it has low wear resistance. Incorporating copper and nickel particulates into MMCs can improve their hardness and, consequently, their wear resistance.

This study investigates how varying weight percentages of copper and nickel particulates affect the mechanical properties of Al 5083/Cu/Ni matrix composites. The results indicate that the composite containing 0% nickel and 3% copper exhibits the highest ultimate tensile strength, flexural strength, and tensile strength among all tested samples. Furthermore, while ultimate tensile and flexural strengths increase with higher copper content, they decrease with the addition of nickel.

With rapid industrialization, vehicle density in major cities is increasing quickly, challenging transportation planners to provide adequate parking. The problem was identified in a high-density market area in Alwar City, Rajasthan. The Ghanta Ghar and Hope Circus areas, key business centers, were chosen for the study, conducted in four stages. First, a traffic volume study was done manually. The second stage involved a parking study divided into parking volume and occupancy using an in-out survey technique and a stakeholder survey. The third stage involved a parking space inventory, reviewing existing facilities and identifying additional parking spaces. The final stage presented solutions for the parking issue. Parking occupancy during peak hours was found to be 217%, with improper marking, poor enforcement, and outdated design standards observed. Recommendations included multi-story parking, new parking areas, improved bay designs, better communication, enforcement, and operational efficiency for managing parking.

In October 2016, the High-Level Advisory Group on Sustainable Transportation, appointed by the Secretary-General of the United Nations, presented a landmark report titled "Mobilizing Sustainable Transport for Development." This pivotal report highlighted the urgent need for both national and local governments to establish comprehensive frameworks for monitoring and evaluating sustainable transportation practices. The role of transportation in the socio-economic advancement of urban areas cannot be overstated, as it is essential for maintaining long-term sustainability and improving quality of life.

This study focuses on the city of Ajmer in Rajasthan, applying an indicator-based framework to assess its transportation sustainability. By selecting indicators that align with local circumstances, available data, and measurability, our analysis has revealed a Transport Sustainability Index (TSI) value of 50.49 for Ajmer. This score provides a snapshot of the city’s current sustainability status, highlighting both strengths and areas needing improvement. The TSI is more than just a number; it serves as a valuable tool for policymakers, researchers, and stakeholders. It aids in making informed decisions that can drive transformative initiatives aimed at enhancing the transportation systems in Ajmer. In a broader context, the TSI can guide sustainable development efforts across India, contributing to the holistic improvement of the country's urban environments. Ajmer's moderate TSI score underscores the critical need for targeted strategies to enhance sustainability in transportation. These strategies include reducing emissions, improving public transport accessibility, and fostering economic investments in infrastructure. By addressing these areas, Ajmer can set an example for other cities striving to achieve sustainable urban growth.

Micro-surfacing involves rejuvenating the existing pavement through the application of a thin layer comprising polymer-modified emulsion, aggregates, filler, water, and additives. It is recognized for its rapid curing, resource efficiency, and eco-friendliness. The literature review encompasses a comprehensive analysis of existing studies, methodologies, and findings related to micro-surfacing technology, recycled asphalt usage etc. It was found that using Reclaimed Asphalt Pavement (RAP) in micro-surfacing can reduce the use of emulsion and natural aggregates by using RAP binder and fine aggregate. This process also helps in improving the compatibility of the virgin aggregate with emulsion and decreasing fossil energy consumption and greenhouse gas emissions. Further, it was found that optimal asphalt content (OAC) decreases as RAP content increases. Moreover, the addition of RAP is shown to extend the mixing time, enhance moisture and freeze-thaw resistance, and improve skid resistance.

Urbanization and increasing motorization pose significant challenges to pedestrian infrastructure and safety, particularly in developing countries. This paper analyzes the current state of pedestrian infrastructure, flow dynamics, safety levels, and pedestrian-vehicle conflicts in urban areas. It highlights critical deficiencies, including poor maintenance, inadequate accessibility features, and insufficient safety measures, while exploring socio-demographic influences, urban design principles, and policy impacts. The study emphasizes integrated urban planning, inclusive design, and the importance of public-private partnerships to create walkable, pedestrian-friendly cities. Through comprehensive analysis and insights, this research provides actionable recommendations for enhancing pedestrian safety, pedestrian level of service (PLOS) and mobility, fostering sustainable urban environments.

Ground improvement with Geosynthetics is an innovative solution for difficult ground conditions. It is a sustainable solution for ground improvement, as it utilizes locally available materials, can employ unskilled labour, and is easy to install. This paper shows a review study of the recent development in ground improvement techniques, using geosynthetics, focusing on drainage application of geosynthetics. Various functions of Geosynthetics for ground improvement are Drainage, Filtration, surface erosion Control, Barrier (fluid), Protection, Reinforcement, Separation, etc. Different types of Geosynthetics serve various purposes, such as erosion control, canal lining, landfill lining, tunnel lining, accelerating the consolidation rate, soil confinement, sub-base support for road bases, construction of steep slopes, railway tracks, container yards, etc. The most recent trends in ground improvement feature vacuum consolidation, encased stone columns, and electrokinetic geosynthetics.

Tall buildings are a hallmark of modern architecture and urbanization, providing efficient use of limited land and serving as iconic landmarks in cities around the world. However, the complex interaction of wind and structural loads can pose significant challenges for designers and engineers, particularly at building corners where turbulence and vortex shedding can cause vibrations and structural fatigue.  This study investigates the impact of corner modification on highrise buildings. The objective of this study is to evaluate the impact of corner modification on the overall performance of tall buildings in terms of structural integrity, wind resistance, and aesthetic appeal. Corner modification techniques include chamfers, setbacks, and curves, and their impacts on the structural integrity and wind-induced responses of tall buildings. Corner modification can significantly affect the structural behavior and wind loads of tall buildings. Chamfered corners, for instance, can reduce the wind loads on the building while also improving its aesthetic appeal. Rounding off corners can also reduce wind loads, but may increase the complexity of the structural design. On the other hand, cutting off corners can increase the wind loads on the building and may require additional structural reinforcement. Overall, the results of this study suggest that corner modification can be an effective way to improve the performance and aesthetics of tall buildings, but the specific type of modification must be carefully chosen based on the building's structural design and location.