Volume 14 | Issue 4 |

 Abstract

This study evaluates the seismic performance of an asymmetric 20-storey reinforced concrete building with and without infill walls. Three configurations--bare frame, AAC block infill, and burnt clay brick infill-- are analyzed using ETABS as per IS 1893 (Part 1): 2016. Key parameters such as displacement, drift, stiffness, and overturning moment are compared. Results show that infill walls significantly improve seismic performance by reducing displacement and drift, with AAC blocks performing better in displacement control and burnt clay bricks providing higher stiffness. However, infill walls increase overturning moments, requiring stronger foundation design.CIn a National Highway Project, the engineer has to plan, design and construct either a network of new roads or road link. Once a highway is constructed, development takes along the adjoining land and subsequent changes in alignment highway is not a source of potential traffic hazard, but also causes a considerable increase in transportation cost and strain on drivers and the passengers. The Government of India had entrusted to the Authority the development, maintenance and management of Four / Six Laning of Ambaghat to Paijarwadi section of NH- 166 from Ch 67+140(existing km 69+072) to Ch. 112+340 (existing km 115+540),Length With the rapid digital transformation across industries, the recruitment process has significantly shifted from traditional offline methods to online platforms. Conventional hiring approaches are often time-consuming, inefficient, and limited by geographical constraints. To address these challenges, this internship project at Shorat Innovation Pvt. Ltd. As there is scarcity of natural river sand. and it has prompted the construction industry to explore sustainable alternatives for plastering applications. This study investigates the performance of cement-crusher sand plaster applied on Autoclaved Aerated Concrete (AAC) block walls. Experimental work was conducted using varying mix ratios of cement and crusher sand, with comparative analysis against conventional river sand plaster. Tests included compressive strength, bond strength, water absorption, shrinkage resistance, and thermal conductivity. Results indicate that crusher sand plaster demonstrates comparable or superior performance in terms of adhesion and durability, while offering significant environmental and economic benefits. The findings highlight the potential of crusher sand as a viable substitute for river sand in AAC block masonry, contributing to sustainable construction practices.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Crusher, Sand, AAC, Block, Masonry, Cement, Plaster ,Bond, Strength, Sustainable, Construction, Thermal, Performance, Durability, Analysis.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study evaluates the seismic performance of an asymmetric 20-storey reinforced concrete building with and without infill walls. Three configurations--bare frame, AAC block infill, and burnt clay brick infill-- are analyzed using ETABS as per IS 1893 (Part 1): 2016. Key parameters such as displacement, drift, stiffness, and overturning moment are compared. Results show that infill walls significantly improve seismic performance by reducing displacement and drift, with AAC blocks performing better in displacement control and burnt clay bricks providing higher stiffness. However, infill walls increase overturning moments, requiring stronger foundation design.CIn a National Highway Project, the engineer has to plan, design and construct either a network of new roads or road link. Once a highway is constructed, development takes along the adjoining land and subsequent changes in alignment highway is not a source of potential traffic hazard, but also causes a considerable increase in transportation cost and strain on drivers and the passengers. The Government of India had entrusted to the Authority the development, maintenance and management of Four / Six Laning of Ambaghat to Paijarwadi section of NH- 166 from Ch 67+140(existing km 69+072) to Ch. 112+340 (existing km 115+540),Length With the rapid digital transformation across industries, the recruitment process has significantly shifted from traditional offline methods to online platforms. Conventional hiring approaches are often time-consuming, inefficient, and limited by geographical constraints. To address these challenges, this internship project at Shorat Innovation Pvt. Ltd. The increasing demand for durable, aesthetic, and low-maintenance flooring solutions has led to the widespread use of ceramic and vitrified tiles in modern construction. This study focuses on the performance and practical execution of tile flooring using tile adhesive on prepared concrete surfaces. The research includes on-site observations of tile laying processes, adhesive application, surface preparation, and finishing techniques. Parameters such as bonding strength, surface finish, workability, alignment, and durability were evaluated. Results indicate that tile adhesive provides strong bonding, uniform finish, and efficient installation compared to traditional mortar methods. The study highlights the advantages of adhesive-based tile flooring in terms of speed, durability, and cost-effectiveness, making it a preferred. choice in contemporary construction practices.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Tiles, Flooring, Adhesive, Bond Strength, Surface Finish, Durability, Construction, Workability.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study evaluates the seismic performance of an asymmetric 20-storey reinforced concrete building with and without infill walls. Three configurations--bare frame, AAC block infill, and burnt clay brick infill-- are analyzed using ETABS as per IS 1893 (Part 1): 2016. Key parameters such as displacement, drift, stiffness, and overturning moment are compared. Results show that infill walls significantly improve seismic performance by reducing displacement and drift, with AAC blocks performing better in displacement control and burnt clay bricks providing higher stiffness. However, infill walls increase overturning moments, requiring stronger foundation design.CIn a National Highway Project, the engineer has to plan, design and construct either a network of new roads or road link. Once a highway is constructed, development takes along the adjoining land and subsequent changes in alignment highway is not a source of potential traffic hazard, but also causes a considerable increase in transportation cost and strain on drivers and the passengers. The Government of India had entrusted to the Authority the development, maintenance and management of Four / Six Laning of Ambaghat to Paijarwadi section of NH- 166 from Ch 67+140(existing km 69+072) to Ch. 112+340 (existing km 115+540),Length With the rapid digital transformation across industries, the recruitment process has significantly shifted from traditional offline methods to online platforms. Conventional hiring approaches are often time-consuming, inefficient, and limited by geographical constraints. To address these challenges, this internship project at Shorat Innovation Pvt. Ltd. The food delivery industry has witnessed exponential growth, with platforms like Zomato generating massive volumes of transactional data. This paper presents a comprehensive Data Analytics project focused on Zomato's sales data to extract meaningful business insights, identify revenue trends, and understand customer ordering patterns. The study employs Python-based data analysis tools including Pandas, NumPy, Matplotlib, and Seaborn for data cleaning, exploratory data analysis (EDA), and visualization. Key areas of analysis include city-wise sales performance, restaurant category trends, peak order timings, customer rating distribution, and discount impact on revenue. The findings provide actionable intelligence for business stakeholders, helping optimize delivery operations, improve marketing strategies, and enhance customer satisfaction. The project demonstrates the practical application of data analytics skills in solving real-world business problems in the food-tech domain.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data Analytics, Zomato, Sales Analysis, Exploratory Data Analysis (EDA), Python, Data Visualization, Business Intelligence, Food Delivery, Revenue Trends, Customer Behavior.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The crash box is a critical energy-absorbing component in modern automotive structures, designed to minimize the impact forces transmitted to the passenger cabin during a collision. This project focuses on the design and optimization of an automotive crash box with the aim of improving crashworthiness while maintaining lightweight and cost-effective characteristics. Various geometric configurations, materials, and structural parameters are analyzed to enhance energy absorption, reduce peak impact forces, and improve deformation behavior under axial and oblique loading conditions. Numerical simulations using finite element analysis (FEA) are employed to evaluate performance parameters such as specific energy absorption, crush force efficiency, and deformation modes. Design iterations are carried out to identify the optimal configuration that provides a balance between safety, manufacturability, and material efficiency. The optimized crash box design is expected to significantly enhance vehicle safety, reduce material wastage, and contribute to the overall improvement of automotive crash management systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Design and Analysis of differently shaped automotive crash boxes

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research investigates the recurring psychological patterns underlying major global financial collapses. Drawing upon behavioral finance theory, the study introduces the concept of 'Behavioral DNA' to explain how systematic cognitive biases-- such as herding, overconfidence, confirmation bias, anchoring, loss aversion, and fear of missing out (FOMO)--drive asset bubbles and subsequent crashes. The research adopts a qualitative comparative case-study methodology supported by secondary statistical data from the Dot-Com Bubble (2000), Global Financial Crisis (2008), Bitcoin Bubble (2017), GameStop Mania (2021), and China's Housing Boom. Statistical correlation frameworks are incorporated to demonstrate relationships between market volatility, speculative participation, and behavioral intensity indicators. Findings reveal a consistent six-stage behavioral cycle across crises. The study concludes that financial instability is deeply rooted in collective psychology, amplified by institutional incentives and technological acceleration. Policy recommendations include behavioral early-warning systems, enhanced financial literacy, regulatory transparency, and social media monitoring.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Behavioral Finance, Herding Bias, Financial Bubbles, Market Psychology, Global Financial Crisis, Investor Behavior

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Investment behaviour among individuals is shaped by various demographic and socio-economic factors. This descriptive research paper aims to analyse the investment preferences of the salaried class towards different financial products available in the market. The study specifically identifies demographic variables such as Age, Gender, Employment Level, Education Level, Annual Income, and factors like risk, return, safety, liquidity, and affordability that influence these preferences. Data were collected through a structured questionnaire administered to 65 respondents. The research explores the relationship between investor wellbeing and their investment choices, highlighting the significant impact of these preferences on investor satisfaction and financial security. Additionally, the study addresses common challenges faced by the salaried class in investment decisions and provides recommendations based on the findings.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Investment Preferences, Salaried Class, Investor Behavior

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The increasing pressure on organizations to achieve sustainability while maintaining competitive performance has accelerated the adoption of digital technologies in supply chain management. This study examines the effect of digital enablement of sustainable supply chains on organizational performance, with a focus on how advanced digital technologies facilitate environmental and social sustainability practices. Grounded in the Resource-Based View (RBV) and Triple Bottom Line (TBL) framework, the research investigates the role of digital tools such as big data analytics, Internet of Things (IoT), block chain, and cloud-based platforms in enhancing supply chain sustainability and performance outcomes. A quantitative research design was employed, using survey data collected from supply chain and operations managers across manufacturing organizations. The proposed conceptual model was tested using Partial Least Squares Structural Equation Modelling (PLS-SEM) to examine the relationships between digital enablement, sustainable supply chain practices, and organizational performance dimensions, including operational, environmental, and financial performance. The findings reveal that digital enablement significantly enhances sustainable supply chain practices, which in turn positively influence organizational performance. Moreover, sustainable supply chain practices partially mediate the relationship between digital enablement and performance outcomes. The study contributes to the existing literature by empirically validating the role of digital technologies as strategic enablers of sustainable supply chains and by providing evidence from an emerging economy context. From a managerial perspective, the findings offer actionable insights for practitioners seeking to leverage digital transformation to achieve sustainability-driven performance improvements. The study also provides policy implications for promoting digital adoption to support sustainable industrial development.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Enablement, Sustainable Supply Chain Management, Organizational Performance, Industry 4.0, PLS-SEM, Emerging Economies

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Researchers have explored many ways to estimate the cost of a good business. The purpose of economic forecasting is to estimate the future value of the organization's financial products. Effective forecasting techniques allow investors to better understand data such as future trends. Investors can also benefit from future market analysis. The purpose of market forecasting is to estimate the future value of the financial institution's shares. One way is to use machine learning algorithms to make predictions. Machine learning uses different models to make predictions easier and more accurate. The main purpose of this article is to improve the quality of use of assets to predict the output of products. Many researchers have proposed many ways to solve this problem; Most of these are traditional methods, such as neural networks used to predict the stock market, which allow the model to hide and separate information. This article offers a different approach to estimating operating costs. It is not possible to fit the data into a specific model, we use machine learning architecture to identify the latest events on the device. In this paper, we use machine learning architectures Long Short Term Memory (LSTM), Convolutional Neural Network (CNN) and hybrid approach of LSTM + CNN to predict the value of companies listed on NSE and differentiate their performance. In the long term, the hanging window approach is adopted and performance is evaluated using the root mean square error.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Stock market, prediction, financial stock, convolution neural network , hybrid approach etc

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper presents a comprehensive analysis of loan repayment behavior across different income groups, emphasizing how income level, income stability, financial literacy, and socioeconomic conditions influence borrowers' repayment performance. This paper focuses the determinants of loan delinquency among customers that tend to create repayment differences between the low, medium and high-income customers. Primary and Secondary Data were analyzed using descriptive statistics and logistic regression analysis. The study draws empirical evidence from borrowers in the Jalgaon region of Maharashtra, India, offering insights relevant to similar semi-urban banking environments. The study examines the role of Income groups, documents, CIBIL score, debt to income ratio, moral behavior, advisory impact, financial literacy in loan delinquency behavior. The study determines that the households having low incomes, high obligations and greater loan diversion and experiencing high costs of borrowing are prone to greater risk of default. Contrarily, customers having higher financial literacy with a social awareness, multiple income sources and joint responsibility are likely to be less delinquent. Credit and collection team supervision is a critical factor for loan accounts stress management & delinquency. With proper supervision and organized credit underwriting measures for sanctioning loan proposals and tracking any stress factor is crucial for maintaining portfolio of bank and having smooth repayment behaviour among customers. The findings provide practical implications for banks and financial institutions in strengthening credit appraisal mechanisms, early stress detection, and improving repayment sustainability across income segments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Loan Repayment Behaviour, Loan Delinquency, Income Groups, Financial Literacy and Credit Risk Management, etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates strategic decision-making through insights drawn from the tales of Panchatantra, which are ancient Indian fables famous for their wisdom and moral teachings. Analyzing decision-making models like the Rational Model, Intuitive Model, Recognition-Primed Model, and Creative Model, this research seeks to establish a new strategic decision-making framework. The study uses qualitative content analysis of the chosen Panchatantra fables and tests their congruence with developed decision-making theories. The research provides a distinctive integration of ancient wisdom and contemporary strategic thinking and helps develop decision-making models for modern management.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Panchatantra Wisdom, Strategic Mastery, Decision Making, Rational Model, Creative Model, Recognition- Primed Model, Intuitive Model.

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Creative Commons Attribution 4.0 and The Open Definition