Volume 11 | Issue 8

 Abstract

Structural behavior of masonry unit is influenced by constituents units like bricks and mortar individually and as composite mass together. As bricks are made with locally available clay with different mineral composition properties of bricks vary widely from zone to zone. Thus average value of constituting material behavior may over estimate or under estimate the design and analysis of masonry structure. For safer and economical design of masonry structure the variability of constituting material properties is necessary to be considered. So the mathematical description of the randomness of constituting material is required, the variability of mechanical properties related to steel and concrete is well researched, while the same for brick masonry has not received proper attention. In plane strength is an important aspect in sustaining with In plane forces for achieving better in plane strength soaking is very important, as bricks absorbs moisture from the mortar which leads to in habiting hydration of cement. In this study, for mechanical behavior a number of experiments are conceded for determining initial moisture absorption rate, moisture absorption, apparent dry density, crushing strength of units, crushing strength of mortar and of the composite unit

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Burnt Clay Bricks, Fly Ash Bricks, BCB, BFA-1, BFA-2.

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 Abstract

Green is the most beautiful color in the world because it is the color of nature .Green human resource management promote sustainable practices and increase awareness among the employee and enhance their commitment towards environmental sustainability. Now a days HR professionals in banking industry provide support and guidance to employee to implement green HRM practices so as to increase their performance and thereby achieve the outcome in green banking . The present study focuses on developing a conceptual clarity in green hrm , to study green hrm practices with existing hrm practices and to make an analysis of various green hrm practices ,and to find out the impact of GHRM on organizational commitment .

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GREEN HRM, various concepts of green hrm, various green hrm practices, organizational commitment

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Pregnancy bring a new meaning to the concept of beauty. It is a period of immense joy coupled with excitement. The physiological transition from being pregnant women to becoming a mother means an enormous change for each woman both physically and psychologically. It is a time when each and every system in the body is affected and the experience, though unfortunately not joyous for all. The overall prevalence rate of physiological lower leg oedema during pregnancy is 8.5%. Leg massage is an example of an intervention that can be used for specific conditions such as leg and foot oedema as it moves extravascular fluid without disturbing intravascular fluid. Materials and methods used: The quantitative research approach was used; the study was conducted at selected hospitals. The research design adopted for study was experimental two group pre-test post-test design to assess the effect of leg massage on physiological lower leg oedema among antenatal mothers admitted in antenatal ward of selected hospitals. Purposive sampling technique was used to select 60 antenatal mothers among that 30 samples were for control group, 30 samples for experimental group pre test given to both group and intervention was given to experimental group, for 4 days on 5th day post test was taken. Erin Oedema scale was used to assess the level of physiological lower leg oedema. Data was analysis by using descriptive and inferential statistical. Result: The mean post test score of control and experimental group shows that reduction in physiological lower leg oedema score, this is statistically significant as evidence from p= <0.0001 at 0.005 level. Conclusion: The findings of this study leg massage was effective in reducing physiological lower leg oedema among antenatal mothers.

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Foot Massage, oedema in pregnancy, antenatal mother.

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 Abstract

Teenagers of today are the first generation who cannot recall a time before Facebook, Twitter, and text messaging and if you are hungry, just say the word and Alexa will oblige by placing an order at the nearest outlet of the restaurant of your choice. If you want to buy the new Wagon R, you can hear about the car's specs straight from the CEO's mouth by watching the car's launch streaming live on YouTube while scrolling through multiple publisher platforms. If you want to go shopping, get a chatbot to become your personal salesperson or assistant. Digital platforms have very cleverly integrated marketing into the everyday routine of consumers. But with more than a thousand brands vying for the consumer's attention every second, the need for marketer who has to stand out on these platforms. Therefore, we set out to explore the novel digital formats that are making waves and the innovations 2019 is all set to witness, going beyond content marketing, videos and influencer marketing that got brands much needed attention in 2018.The remarkable expansion of the worldwide network and the widespread use of the Internet have undoubtedly helped marketers and business owners achieve both high advertising revenue and inexpensive advertising costs. Today, advertisers put out a lot of advertisements, which had negative effects on youngsters. This study examines contemporary Internet advertisements and the negative effects they have on youth who use the Internet. Examining the online factors that affect Internet-using teenagers' perceptions and attitudes about advertising is the goal of this study. The online survey involved 100 young people from Vijayawada city who were avid Internet users and were enrolled in different colleges. The statistics show a tremendous increase in online advertising over the last 2 to 3 years. A majority of respondents find online advertisements distracting/intrusive, demonstrating that almost all privacy concerns on the Internet and social media are unfounded.

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 Keywords

Teenagers', Digital Advertising, New wave, Negative Effects, Ad Attitude

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Glaucoma is generally the result of an increase in intraocular pressure, which leads to progressive damage to the optic nerve. This manifests as a gradual loss of visual field, beginning with a decrease in lateral vision, to finally lose all vision. Since vision loss from glaucoma cannot be reversed, the diagnosis and early treatment is essential to preserve both the visual field and quality of life. Glaucoma usually develops slowly over time without pain nor acute attacks, so the lack of clear symptoms makes it difficult to detect and detect the glaucoma through regular eye exams. As glaucoma progresses, there will be a further pathological cupping of the optic disc due to changes in the optic nerve. To diagnose the same, the proposed model in this scheme algorithm is good enough to identify Glaucoma based on images by training at 40 epochs and effectively achieving a validation accuracy of 96.65%. This result is quite good and model is successful to achieve the results for Glaucoma detection

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Glaucoma Detection, Deep Learning, Artificial Neural Networks, Convolutional Neural Networks

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Abstract: Religion is a practically universal establishment in human culture. It is found in all social orders. Religion is any cultural arrangement of assigned practices. Generally acknowledged that the physiological elements of the body increase with utilization and decrease with abandonment. Pupils belonging to different ethnic groups (Hindu, Muslim and Christian) vary in their physiological fitness due to their life styles, physical activities, culture, food intake and heredity. In this article, the researcher analyses the selected physiological variables of high school boys studying in Government secondary schools belonging to different ethnic groups in Tumkur District, Karnataka. One hundred and eighty high school boys of government secondary schools from different ethnic groups (each ethnic group of 60 subjects) of Tumkur District with the age ranging from 13 to 15 years were selected randomly. The physiological variables like Breath Holding Time by manual and Resting Heart Rate by Omran Monitor. The result concludes that there exits significant difference in Breath Holding Time among high school boys of Hindu, Muslim and Christian religion except Resting Heart Rate Games are plays a important role for the physical & physiological development of the individual of any ethnic.

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Keywords: Physiological, high school boys, ethnic groups.

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Recognizing the significant impact of Differently Abled individuals in the workforce, especially within Government Agencies where legal protections are in place, this study delves into their experiences and insights. The research focuses on their rights, contributions, and suggestions for better recognition. The study outlines participant demographics including age, gender, education, job title, socio-economic status, nature of work, position, income, and service length. Participants' specific disabilities, challenges, interventions, and anticipated outcomes are also examined. Conducted in Tarlac Province, the research employs a case study approach with in-depth interviews using a purposive sampling design. Data is analyzed through frequency, percentage, and case exhibits. Findings highlight orthopedic disabilities as prevalent among Differently Abled individuals in Tarlac's government agencies. Challenges include physical barriers like inaccessible workspaces and inadequate specialized training. Recommendations include enforcing Magna Carta building protocols, creating dedicated workspaces, and providing training platforms for skill development and public engagement.

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Differently Abled, Magna Carta for Person with Disability

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Social networking sites such as Facebook, Whatsapp, Youtube and Twitter are amongst the most popular destinations on the web. Anecdotal evidence of positive outcomes from these technologies -- such as educational and business activities organized via Facebook or jobs found through LinkedIn -- is well-known, but now a growing corpus of research on social networks sites supports this view too. Social networking sites, such as Facebook, Twitter and Whatsapp are examples of communication tools available online. With proliferation of social networking online come impact on society; a difference in what people do and how they do it. Changes in society are simultaneously useful and negative and this is the case with the impact of online social networking. This paper aims to look at the positive effect that interaction through social networking sites has on today's society in relation to the modern media concept of greater interaction.

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Social network and Society, Social Media, Internet

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Cancer continues to pose a substantial global burden, prompting relentless efforts to enhance screening, diagnosis, treatment, and survivorship strategies. While remarkable progress has been made in recent decades, the delivery of personalized and data-driven care presents ongoing challenges. Enter artificial intelligence (AI), a burgeoning field within computer science renowned for its predictive and automation capabilities. AI holds the potential to revolutionize the healthcare landscape, particularly in oncology, by bolstering precision and effectiveness. The scope of AI applications in oncology is extensive, encompassing the optimization of cancer research processes, refinement of clinical practices--such as the prognostication of multifaceted parameter-outcome relationships--and the deepening of insights into tumor molecular biology. This comprehensive review navigates the current landscape of AI in oncology, delving into its foundational principles, present-day applications, inherent limitations, and the promising vistas that lie ahead. By examining the interplay of AI and cancer care, this review underscores the transformative potential of AI-driven innovations while acknowledging the intricate roadblocks that must be navigated for its successful integration into mainstream healthcare practices.

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Keywords: Cancer, Artificial Intelligence, Oncology, Precision Healthcare, Personalized Medicine, AI Applications, Prognostication, Molecular Biology, Data-driven Care, Healthcare Innovation, Clinical Practice, Cancer Research, Automation, Healthcare Challenges, Future Perspectives.

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Inclusive education has gained significant attention in recent years as societies strive to create more equitable and accessible learning environments for all students. Inclusive education is an approach that aims to provide equal opportunities for all learners, regardless of their abilities , disabilities, gender ,socio-economic status. Inclusive education represents the latest trend in the provision of placement suggested in the field of education to disabled children. The objectives of inclusive education is to identify and enrol children with special needs in regular schools and provide effective support. Principles of togetherness and principles of equality are the main important principles of inclusive education. Inclusive education strategies refer to the different strategies and techniques to meet the diversity of children's needs and abilities. However in inclusive education, we are facing several problems such as lack of positive attitude towards teachers, lack of trained teachers, lack of inclusive learning environment, lack of recognition of people experiencing disability. This paper discuss the concept, disabled student, importance, principles, issues and challenges , goals, strategies regarding inclusive education.

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Inclusive Education, Disabilities, Children with special needs,Issues etc

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

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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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Resettlement Communities, families

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

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

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

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

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

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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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Digitalization, Innovation, Connectivity, Job Displacement, Cyber security

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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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