SOUTH INDIA JOURNAL OF SOCIAL SCIENCES
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    365 research outputs found

    Navigational and Technical Skill of Indian Deep-Sea fishermen: A Quantitative Analysis Between Fishermen Of Malabar And Coromandel Coast

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    Rising collision accidents involving fishing vessels in the South West Coast of India are a serious concern. Deep-sea fishing vessels from Malabar Coast are involved in close-quarters situations or collision incidents with the merchant vessels when they are fishing near or passing through the International Maritime Traffic Route (IMTR), which is located close to the Indian Coast. It could be because of their poor navigational abilities or practices. With the aim of finding the reason for such a rise in accidents, a study was conducted, comprising 175 respondents each from Malabar Coast (MC) and Coromandel Coast (CC) through a structured questionnaire. Unstructured methods were also employed to exactly understand the responses from the fishermen. The study compares the deep-sea fishermen from the Malabar Coast with Coromandel Coast to examine their navigational technical skills.The outcome of the study can bring out the lacuna in the navigational technical skills of the deep-sea fishermen and assist the policymakers in determining the training needs, and the modification in the vessel design for safe sea voyages

    Silent Machines and Loud Wars: The Quiet Revolution of Biotechnologies in Conflict Literature

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    A quiet revolution unfolds in contemporary conflict literature, where war is no longer marked by the clang of steel but by the silent workings of biotechnologies. This paper critically examines Tochi Onyebuchi’s War Girls (2020), exploring how the fusion of flesh and technology transforms both the battlefield and human identity. The novel portrays soldiers augmented by biotechnological enhancements—artificial limbs, neural implants, and mechanized bodies—that silently reshape them into instruments of war. These “silent machines” offer power, survival, and efficiency, but at the cost of autonomy, humanity, and emotional integrity. This analysis delves into the subtle moral dilemmas raised by biotechnology: while it saves and strengthens, it also alienates. Augmented soldiers are forced into an unsettling balance between their human selves and the cold mechanics of their artificial enhancements. War Girls critiques the dehumanizing effects of these technologies, which blend seamlessly into everyday life, silently challenging the very definition of being human. The paper argues that the most profound consequences of biotechnological warfare are not the visible destruction it wreaks but the invisible erosion of identity and autonomy. Against the backdrop of human fragility and technological power, conflict literature like War Girls raises unsettling questions about progress and autonomy, as well as the cost of survival in a world increasingly dominated by silent, unseen forces

    Impact of Literacy on Pradhan Mantri Jan Dhan Yojna Awareness and Financial Inclusion: Evidence from Scheduled Tribes of Kerala

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    As the cornerstone of individual empowerment, socioeconomic growth, and global advancement, literacy is essential for promoting critical thinking, communication skills, and lifelong learning. This study aims to investigate the relationship between financial inclusion, Pradhan Mantri Jan Dhan Yojna (PMJDY) awareness, and literacy level among Kerala's Scheduled Tribes. An organized schedule and personal interviews with 348 respondents were used to gather the data. The approach of multistage purposive sampling was employed. The results from descriptive statistics and ANOVA show that as literacy levels rise, so does financial inclusion and awareness. Due to the fact that the majority of respondents fall into that category, it is evident that respondents with only a primary education and less than a secondary education have a greater understanding of PMJDY and financial inclusion. It is also clear that households with one or more graduates have a higher likelihood of being financially inclusive and conscious of their financial situation. Further research is nevertheless necessary in order to fully comprehend the intercommunity comparison

    Regional Disparities in Non-Performing Assets of Self- Help Groups: Analysing The NRLM-Bank Linkage Programme in Regions Of Uttar Pradesh

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    The Government of India started the NRLM bank linkage scheme to give financial assistance to the rural poor via Self Help Groups (SHGs). The study examines the non-performing assets (NPAs) of the bank linkage project of the National Rural Livelihood Mission (NRLM) in Uttar Pradesh. The findings indicate that, in comparison to Western Uttar Pradesh, the NPA levels of the NRLM bank linkage scheme in Eastern Uttar Pradesh are lower. The study highlights that there are various reasons such as insufficient loan monitoring and appraisal, insufficient SHG member training, and delayed loan disbursements that are responsible for the higher NPA ratios.  Furthermore, the research indicates that Eastern Uttar Pradesh has a greater loan recovery rate in spite of somewhat poorer economic conditions and a higher frequency of natural disasters. Several policy implications for the NRLM bank linkage programme are also highlighted in the study. In addition to routinely providing training to SHG members to enhance their financial literacy and management abilities, the study makes the case for improved loan evaluation and monitoring in order to lower the risk of non-performing assets (NPAs)

    Unveiling The Subliminal Impact: Exploring How Neuromarketing Advertisements Resonate with Youth Audiences

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    The goal of the multidisciplinary discipline of neuromarketing is to better understand consumer behaviour at the neurological level by combining marketing, psychology, and neuroscience. The major objective is to identify the subliminal cues that influence young people's brand perceptions, brand loyalty, and purchasing decisions. The elements of neuromarketing which focuses on youth are listed. Chi-square testing, Garret ranking, and percentage analysis were among the methods used to determine the preferences and efficacy of neuromarketing commercials among young people. By highlighting the subliminal cues that impact brand impression, loyalty, and purchase decisions, these statistical techniques allowed for a thorough analysis of the data. In summary, this research offers a thorough comprehension of how neuromarketing might be utilised to produce more captivating and successful advertising for younger consumers.

    Tribal Health Infrastructure and Performance in Odisha: A Critical Analysis

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    A sound health is a pre-requisite element for human development. Though health is considered having biological backdrops and ramifications, but it is necessarily a bio-psycho-social concept engulfing and impacting the whole of human actions. With life style changes, the earliest concept of complete biological, mental and social wellbeing is challenged and spiritual health is added along with the coping mechanism to address the health issues. In this context, tribal health is an area which is historically neglected. From literature surveys, it can be found that throughout the length and breadth of the state, and country, tribal health infrastructure and performances have been neglected, in both social infrastructure as well as physical infrastructure. But time has come to rectify the historical injustice being imparted to sections of society in providing all necessary healthcare benefits. This paper using secondary sources has found that tribal in Odisha has no basic infrastructure, mainly in some remote inaccessible areas. So citing authentic data from govt. reports, the paper suggests that a handful of measures can do the needful to the lot of the tribal such as relaxing the population-healthcare ratio, mobile health, community health officers etc. it also recommends further research on this area

    Status and Comparison of Physical Competence of 9-10 years male and School female children

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    Physical competence is an important indicator of motor skill level and health related fitness. This study, "Status and comparison of physical competence of 9-10 years male and School female children" was designed to assess the overall physical competence of both male and female children. To achieve the objectives of this study motor competence, cardiorespiratory endurance and torso strength were measured using CAMSA, 15 meter pacer test and plank, respectively. Data was normal and t-test was applied. The results showed that male children were more proficient than female children in motor competence, cardiorespiratory endurance, torso strength. 

    An Exploration of Artificial Intelligence and Human Resources Management in IT Sector

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    Artificial Intelligence is being used in human resources because of the change that has been brought about by technology in the IT sector. Major companies are trying to adapt and implement artificial intelligence so that the efficiency of human resource management is increased in the IT sector. The faith of the organization and employees in merging artificial intelligence with functions of human resources will increase the efficiency and performance of the organizations and employees as a whole. Merging and adapting the techniques and tools of artificial intelligence is not considered a matter of choice rather, it is essential for the survival of the organization specifically in the IT sector. The process of recruitment is being redefined by the tools of artificial intelligence with the swifting of resumes and also the applications by identifying the more qualified and talented candidates in a quicker and faster way. The tools of artificial intelligence namely chatbots and virtual assistants help in training the employees with the policies and procedures. The benefits of artificial intelligence are wide with the respective quality, speed, and working nature of employees. The process of investigation is involved thereby deriving the results for perceiving the artificial intelligence technology in human resource management. In recent years the growth and development of artificial intelligence is vast which helps in making decisions for organizations. The studies show that there is a positive impact in adapting the techniques of artificial intelligence in human resource management of the IT sector.

    Modern Techniques for Fake News Detection in Social Media

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    We are living in a dynamic universe which is thoroughly information-centric and digitized. In present scenario, where mainstream media laps up everything said or done gets dished out forthwith it from different platforms. And there is nothing sacrosanct about one’s privacy; and gone are the days, when newspapers and audio-visual media outlets would hold strong sway on the society. But of late, menacing rise of social media has mercilessly siphoned off sheen surrounding mass media and latter’s mojo is out of sync with today’s reality. Notwithstanding, it is the social media that calls the shot as its algorithm operates with mindboggling speed in informing, spreading, and connecting people. But it is beset with menace called fake news that triggers distrust, doubts, and hiccups all around, hence, people dither to share even genuine news with others. We know, before fake news gets detected, it causes untold damages. Therefore, it is imperative to evolve some remedial mechanism and our study expounds its raison deter and delve into few approaches that enervate its viciousness

    Is the Financial Health of Urban Co-Operative Banks Sound? A Study Based on Altman Z-Scores

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    This study was initiated due to the recent bank scams in the co-operative banking sector in Kerala, which raised a need to prove the financial stability of Urban Co-operative Banks (UCBs) which are an integral part of the Indian banking sector. The financial soundness of sixteen UCBs in Kerala is assessed in this study over ten years from 2012-13 to 2021-22 using Altman Z scores, re-estimated Altman Z scores using Binary Logistic Regression (BLR) and Multilayer Perceptron Neural Network (MLPNN). BLR was used to classify banks into grey and distress zones, and MLPNN was used to identify non-linear relationships in the data. The study’s findings show that the re-estimated Altman Z score model using BLR exhibited high predictive accuracy in predicting distressed and non-distressed UCBs, therefore, it may be considered as a reliable tool for predicting financial distress in UCBs. The MLPNN model needs further improvement in the form of the inclusion of new variables which will be within the future scope of the research. The bank management and other stakeholders will be able to monitor the financial stability of UCBs with the help of the findings of the study

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