Volume 11 | Issue 8 |

 Abstract

In this study, we explore how Deep Q-Network (DQN) might improve the functionality of multiclass classification algorithms. We used a benchmark dataset from Kaggle to create a framework incorporating DQN with existing supervised multiclass classification algorithms. They have been used in a number of fields, including image recognition, natural language processing, and bioinformatics. This study is focused on the prediction of financial distress in companies in addition to the wider application of Deep Q-Network in multiclass classification. Identifying businesses that are likely to experience financial distress is a crucial task in the fields of finance and risk management. Whenever a business experiences serious challenges keeping its operations going and meeting its financial responsibilities, it is said to be in financial distress. It commonly happens when a company has a sharp and sustained recession in profitability, cash flow issues, or an unsustainable level of debt.

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 Keywords

DQN (Deep Q - Network), Deep Reinforcement Learning, Financial Distress, Multiclass Classification, Decision Tree Classifier, Naive Bayes, Random Forest Classifier

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The researcher conducted a qualitative case study about the lived experiences of the members of the former informal settler families (ISF) settling in the different resettlement communities in the city of Tarlac. This will be highly beneficial to the researcher's study in gaining insights into the present situation of the relocated families and the obstacles they have encountered within the resettlement community. The five (5) resettlement communities encompass Sapang Maragul Resettlement, consist of three (3) phases, and stand as the largest among the five communities. The second community is referred to as the San Roque Block 7 Resettlement or the Binauganan Resettlement. Another one is the Allied City, also known as the San Rafael Resettlement. The fourth community is the Juan Paulo Segundo Resettlement, situated in Matatalaib, Tarlac City. Lastly, we have the Zone 5 San Juan Bautista Resettlement, which happened to be the smallest among the aforementioned communities. One of the goals of the study is to determine and identify the support programs of the local government for the relocated families. Next is to determine the measures that can be proposed considering the resident's various factors about residing in the resettlement communities. And lastly, the implications of the study to Public Administration were drawn. In order to gather accurate information and analyze the various conditions of the relocated families in the five (5) resettlement communities, the researcher conducted interviews in the said communities. The purpose was to gain insights into the current situations, their lived experiences, concerns regarding the government, and the current state of their homes in resettlement areas.

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 Keywords

Resettlement Communities, families

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A synthesis of 2-methylcysteine (1) has been successfully accomplished starting from methylmethacrylate (2). The reaction sequence involves aziridination of methylmethacrylate, regioselective opening of the aziridine ring with thioacetic acid and subsequent hydrolysis with hydrogen bromide in acetic acid.

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 Keywords

Copper triflate, bromamine-T, aziridine, Regioselective, 2-methylcysteine

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The incorporation of methods for machine learning (ML) into procedures for human resource management (HRM) has gained a large amount of interest owing to the fact that it has the potential to completely transform the manner in which businesses manage their human capital. The purpose of this study is to investigate the many facets of the role that machine learning plays in the optimization of HRM processes, specifically digging into the problems and possibilities that machine learning brings. Applications of machine learning in human resource management span a variety of phases, including talent management, employee engagement, employee performance assessment, and recruiting. By using machine learning algorithms, businesses are able to improve the speed and accuracy of candidate selection, therefore lowering the risk of bias and increasing the number of diverse applicants. In addition, predictive analytics may be used to aid in the identification of top-performing personnel, which paves the way for improved succession planning and efforts that focus on focused skill development. The implementation of machine learning into HRM, on the other hand, does not come without its share of difficulties. The ramifications of automated decision-making on ethics, data privacy, and algorithmic prejudice are all significant challenges that need careful examination. It is essential to ensure that machine learning models are both fair and transparent in order to avoid biased results and keep people's confidence

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 Keywords

Machine Learning In Human Resource Management, Recruiting Procedures, Ethics, Data Privacy, And Algorithmic Prejudice.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper explores into the potential of technological advancements to bolster the economic viability of the Indian handloom industry. The Indian handloom sector holds immense cultural significance and is a source of livelihood for millions of artisans. However, it faces numerous challenges in terms of competition, financial constraints, and limited market reach. This paper reviews technological advancements in the textile industry, including computer-aided design (CAD), digital weaving looms, and inventory management systems. It examines the adoption and integration of technology in handloom enterprises, such as CAD software, digital looms, and online marketing. Furthermore, [Author's Name] analyzes the impact of technological innovation on production efficiency, including improved weaving techniques, automation, and digitalization. The paper highlights increased productivity, reduced labor intensity, improved quality control, cost savings, and market competitiveness as the potential benefits. Understanding the impact of technology on economic viability is essential for policymakers, industry stakeholders, and entrepreneurs to formulate strategies for the sustainable growth of the Indian handloom industry.

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 Keywords

Automation, CAD (Computer-Aided Design), Digitalization, Inventory management, Production monitoring, Weaving techniques, Technological innovation, Cost-effectiveness, Increased productivity, Production efficiency, Indian handloom industry

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 Abstract

The emotional bond between parents and their children is fundamental to family life. The arrival of a healthy, joyful infant into a family is a cherished moment, filled with hope for a typical, thriving child. However, when parents discover their child has a disability, it can be a devastating shock. Autism Spectrum Disorder (ASD) is a neurodevelopmental condition marked by social communication deficits and repetitive behaviours. Caregiving for individuals with ASD often involves substantial physical and emotional demands, with caregivers providing lifelong support. This extended caregiving has wide-ranging consequences for caregivers, including physical health issues, social isolation, financial strain, and psychological distress. Mothers, in particular, bear the brunt of these demands, experiencing higher stress levels and mental health challenges. The impact of caregiving extends to the entire family, affecting marital relationships, siblings, and even grandparents. This burden is referred to as 'caregiver burden' and encompasses various stressors. To alleviate this burden, healthcare providers should involve caregivers in care teams, promote self-compassion, provide education and support, and coordinate assistance. Initiatives like Ummeed Society Chandigarh, Mom's Belief by Nitin Bindlish, and the Sahyogi Scheme aim to support caregivers and create a more inclusive environment for individuals with special needs. Recognizing and addressing caregiver burden is crucial for enhancing the well-being of both caregivers and care recipients.

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 Keywords

Autism Spectrum Disorder (ASD), caregiver burden, caregiving, family impact, psychological distress, support initiatives.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Information technology has become an integral part of modern life and has also become a lifeline for business. It has enabled businesses to increase their effectiveness and efficiency while promoting innovation and business growth. Companies rely on information technology to manage their data and streamline processes and promote products and services. In business Information technology increases the productivity in business many folds, besides the introduction of enterprise software accomplishes several tasks in a short time. Businesses are expanding their operations and performance appraisals are being incorporated online. The influence of the economic market and information technology satisfies customers and enables communication.

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 Keywords

BIT, Promote Products and Services (PPS), data security, automated processes, enhanced security, disaster planning, EBITDA, benefit, business, impact, improvement, IT

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 Abstract

Percentage of Indian population depends on agri-culture for income. Most farmers are still using conventional methods for farming. These methods are found to be less efficient and time consuming. It is high time that farmers need modernized farming ideas to reduce their effort and increase production. Automatic agricultural machine is a major and important development that came in the field of agriculture. The vehicle had been designed for purposes such as seed sowing, water springling etc. Another important feature regarding the vehicle is that it fully operates on clean energy, say, solar and electric energy. By the introduction of this ecorobotic agriculture machine we are able to replace human and animal efforts for more than 60

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 Keywords

AT mega328, Electric Vehicle, hybrid model, solar power,electric energy, Arduino, line follower

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: Digital transformation has emerged as a significant driver of economic development in the modern era. The rapid advancement of digital technologies has revolutionized industries, disrupted traditional business models, and transformed the way societies operate. This research paper explores the prospects and challenges associated with digital transformation for economic development. It examines the potential benefits that digital transformation can bring to economies, such as increased productivity, innovation, and competitiveness. Additionally, it investigates the challenges and risks that policymakers, businesses, and individuals must navigate to fully harness the potential of digital transformation. The paper concludes by highlighting key considerations and strategies that can facilitate successful digital transformation initiatives and maximize the positive impact on economic growth.

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 Keywords

Digitalization, Innovation, Connectivity, Job Displacement, Cyber security

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Rough set theory delivers a novel mathematical technique for commerce with incomplete knowledge (or) ambiguity. A set's boundary region is used to represent ambiguity in this method. The division of the domain into correspondence classes is the key concept. It is impossible to differentiate between objects that belong to the similar correspondence class. Hence Rough set theory is a multiple membership theory. The rough set notion may be described using topological operations such as interior and closure, which are referred to as estimate. Assume we're assumed a collection of substances U termed the cosmos, as well as the indiscernibility relation R U*U, which represents our ignorance of U's components. We'll suppose R is an correspondence relation for the sake of effortlessness. Accept that is a subset of U. We'd want to characterize the set in terms of R. The constructive and algebraic techniques are two extended methods for the Pawlak rough set model.

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 Keywords

A Study on Rough Sets

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Creative Commons Attribution 4.0 and The Open Definition