Volume 11 | Issue 9

 Abstract

Today's generation is rapidly evolving world, education plays a pivotal role in shaping the future of individuals and societies. With the advent of advanced technologies, there is an increasing need to leverage these innovations to enhance the learning experience and ensure every student reaches their full potential. Machine learning, a subset of artificial intelligence, has emerged as a powerful tool that can revolutionize the education sector by providing valuable insights into student performance.This paper aims to introduce the Student Performance Assessment and Prediction System, a cutting-edge application of machine learning in education. By harnessing the power of data analysis and predictive modeling, this system aims to facilitate a comprehensive evaluation of student performance, thereby enabling educators to make informed decisions and tailor teaching strategies to individual needs. The Student Performance Assessment and Prediction System capitalize on the vast amounts of data generated within educational institutions. Traditional assessment methods, such as exams and assignments, often fall short in providing a holistic view of student capabilities. However, by leveraging machine learning algorithms, this system can analyze a wide range of data points, including academic records, attendance, engagement levels, and even socio-economic factors, to derive actionable insights about each student's performance and potential.With this system, educators gain the ability to predict and identify potential areas of concern for students at an early stage. By analyzing historical data patterns and performance indicators, machine learning algorithms can generate accurate predictions about student achievement. This empowers teachers and administrators to implement targeted interventions, such as personalized tutoring, tailored educational resources, or additional support, to maximize student success

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Education, Machine learning, Shaping the future, Engagement levels, Socio-economic factors, Historical data patterns, Student performance

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Water is an essential environmental factor which is necessary for survival of all organisms which exist on the earth. In history, many times it was considered by greatest scientists in world that "the water is life". Life cannot develop on any planet without water availability. It is the responsibility of mankind to keep it pure and conserve for next generations. But water is being polluted by humans in many ways. Many such products which are made by humans for public interest polluted water directly and indirectly. One of these a terrible product is plastic. Due to lack of awareness plastic reach at water bodies and get to start polluted them. Polluted water is not fit for human uses. Plastic bags, bottles and other products flow with water and reach at large water bodies.

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Water, water bodies, Pollution, Environment, Plastic, Human etc

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With the demise of the supreme leader Mao Zedong and end of the Great proletariat Cultural Revolution (?????), There was sudden change in the approach of the Chinese leadership for building China . The leadership does not want to deviate from the core foundation of the Communist Party of china , therefore, they started talking on the line of economic development. Deng xiaoping inorder to open China Said , " being poor is not socialism , if everyone become rich , is it not socialism?" . With these attitude and approach for uplifting Chinese economy , he came out with the policy of ????( open door policy ). With the commencement of this liberal policies, China witnessed a high speed growth with the increase in double digit economic growth.Interaction with the outside increased in leap and bounds, china was changing every day so was the Chinese society and the attitude of the more volatile youth. They started embracing foreign especially western culture.

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Youth, Economic Reform and open door policy, Traditional values

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The present study was conducted to translate the original English version of the infant sensory profile 2 scale into Marathi language. The purpose of this study is to evaluate validity of the Marathi translated version of the scale. An observational study was conducted on 10 healthy individuals. The study was conducted in two parts, first including the translation of the English version of the infant sensory profile 2 scale into Marathi language. Second is validation of the Marathi version of infant sensory profile scale was carried out. Then Pearson's correlation coefficient was calculated between subjective and objective measures. The result of the study showed that the concurrent validation of Marathi translated version of I/T sensory profile scale was constituted by Karl Pearson's Correlation coefficient (0.98), This study Shows high degree of correlation between English version score and Marathi version score.

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Marathi, infant sensory profile, validity

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This Agriculture plays a pivotal role in driving economic growth and maintaining a healthy biosphere. Nearly every aspect of human life relies on a diverse range of agricultural products. With the challenges posed by climate change and the increasing demand for high-quality food, farmers must adapt to these changing conditions. To enhance crop yield and growth, farmers need to have a deep understanding of the prevailing climatic conditions to make informed decisions about crop selection. IoT-based Smart Farming represents a significant advancement in the agricultural sector, as it allows for real-time monitoring of fields. It continuously tracks essential factors such as humidity, temperature, and soil conditions, providing farmers with clear and up-to-the-minute observations. In addition, machine learning techniques have found valuable applications in agriculture, aiming to enhance crop productivity and quality. By employing appropriate algorithms on the collected data, these systems can offer recommendations for selecting the most suitable crops based on the current conditions.

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Arduino, IOT sensors, crop prediction.

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Interpersonal conflict can significantly reduce employee well-being, job satisfaction, and productivity at work (Spector & jex, 1998). Conflict management is essential for preserving a positive work atmosphere and ensuring the effective delivery of IT services in the fast-paced, high-pressure industry of Information Technology (IT). In order to reduce interpersonal conflict among IT professionals, this study outlines a quick approach to apply Psychological Capital (PsyCap) Interventions within 5 weeks. Objective: In order to minimize interpersonal conflict and psycap within the IT department, the main goal of this study was to develop an expedited program that strengthens the psychological resources of IT staff, such as hope, self-efficacy, resilience, and optimism. To fulfill the objective Interpersonal Conflict at Work Scale by Spector & Jex, 1998, and the Psychological Capital Questionnaire by Luthans, Youssef, & Avolio, 2007 were used. Design: Within the 5 weeks, surveys conducted before and after the intervention assessed changes in PsyCap levels and initial perceptions of interpersonal conflict among IT employees. The study's findings indicated that PCI served as a shield for IT employees and helped to reduce interpersonal conflict. The PCI program can help the organization by fostering a more upbeat, successful, and collaborative work environment.

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Keywords: Interpersonal conflict, psychological Capital Intervention, and IT employees

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Abstract: Human beings are understood to be the most intelligent being on earth. They have varying levels of mental capacity. And amongst the varying levels of capacity, IQ (Intelligence Quotient), EQ (Emotional Quotient), SQ (Social Quotient) are most heard about capacities of human beings. These capacities are tested time and again in terms of intelligence quotient tests, emotional quotient tests, social quotient tests, personality tests, achievement tests, aptitude tests and so on. But there is another very important Capacity or Quotient to be considered and tested that is 'Adversity Quotient' of the students. We focus and put a lot of effort for uplifting Intelligence Quotient and Emotional Quotient of an individual. But now it has become crucial to develop Adversity Quotient among the new generations who are vulnerable to adversities of life but fail to face them. There is necessity to focus on Adversity Quotient of students and train and teach them to respond and handle the adversities coming their way. The present paper is knowing more about Adversity Quotient and the ways to develop them and rise above all challenges and overcome adversities of life.

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(Key Words: Adversity Quotient, Challenges, Social Quotient, Emotional Quotient, Intelligence Quotient)

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The advent of the new century navigated people to choose lifestyles that revolve around the connection between diet, health and the environment. Consumers embarked on shopping for products with clean labels and transparency. This gradually turned into an active pursuit of organic products in the second decade. Organic food sales in the United States in 2022 broke through $60 billion, raising the curiosity for studying their future in a climate-active world. This paper mainly concentrates on local consumers' behaviour towards organic products in a city with diverse options available for consumption. The objective of the conducted analysis is to forecast the pivotal consumer base in terms of socioeconomic factors and their intent behind the consumption of organic products. This study can further be used to synthesize the probable areas of organic products that can be used in future research.

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Consumer behavior, Organic products , Purchasing behavior, Sustainibility

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The relationship between childhood trauma, self-regulation, and emotional expressivity is complex and can vary from individual to individual. Traumatic experiences can impair the development of neural circuits involved in emotional regulation, leading to difficulties in managing emotions and exhibiting appropriate expression. Individuals may struggle with intense emotions, poor stress management, and impulsive behaviours. This study aims to explore the association between childhood trauma, self- regulation, and emotional expressivity. It utilized a quantitative research design to collect data from two groups: males and females, from the youth population which involve 110 participants aged between 18 to 30 years. The participants were asked to complete the CTQ, SSRQ, and EES questionnaires in a self-administered online survey. After the responses were collected the total score for each individual was calculated. Then a comparative study is made to see the difference between both the groups and observe who is more affected, males or females.

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Childhood trauma, Self-Regulation, Emotional Expressivity

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The present study aimed to find Hope, Perceived Social support, and Psychological Well-being among Unemployed Young Adults. The sample taken was 220 Unemployed Young Adults (66 males and 154 females). The instruments including the Adult Hope Scale, Psychological Well-Being Scale, and Multidimensional Scale of Perceived Social Support were used. For data analysis correlation, regression, and t-test were done. The findings of the study are: (1) All the selected variables have a significant relationship with each other. (2) Hope and its sub-variables (Agency thinking and Pathway thinking), Support from Family, and Support from Friends are significant predictors of Psychological Well-being. (3) Significant sex difference exists in the case of Hope, sub-variables of Hope, Perceived Social Support, sub-variables of Perceived Social Support, and Psychological Well-being. Hope and Social Support play a key role in determining the Psychological well-being of Unemployed Young Adults.

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Psychological Well-being, Hope, Perceived Social Support, Unemployed Young Adults

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Consumer satisfaction occurs when the company's products and services meet the expectations and the consumer is completely satisfied with the food. McDonald's sole objective is to meet the wants and demands of its customers. This is how customers acquires the long-term attachments to a company's offerings and products; this is referred to as customer loyalty. Brand loyalty is a result of customer behaviour, which is affected by the personal preference. Examining consumer preferences for the McDonald's Burger is the goal of the study paper. An analysis was performed using SPSS software, and a questionnaire with Fourteen variables that were independent and a single dependent variable was created for research.

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Frequency, Purchase Intention, Sensitivity, Customer Review, Availability, Variety, Healthier Options, Delivery Time, Billing procedure, Product range, Preferring cheese, Buy online, Discounts and Coupons, Food quality, Staff service and Overall experience.

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Online shopping is a recent phenomenon in the field of e-business and is going to be the future of shopping around the world. Most of the companies are running their online portals to sell their products and services online. The facility of online purchasing has allowed customers to identify the different types of products available in the global market. Due to rapid globalization, all types of products are available on the Internet. Goods and services, such as consumer durables, books, audio and video cassettes, and services like air tickets, can also be purchased online. A large number of Internet users provides a good foundation for the expansion of the online shopping market. The study also aims to identify customer requirements concerning online shopping. This research was conducted using the primary data source, and the survey method was employed in the research. A questionnaire survey has been conducted to test the hypothesis.

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Online Shopping, Customer Perceptions, Electronic Payment, Customer Expectation.

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Though the concept has been taken from R.M.Ballantyne’s one of the first works of juvenile fiction, the story is distinguishable and identical to mythological origin of human beings in the world. With the gradual marching of the action in the novel, it unfolds by degrees the genesis, emergence, judgement and capitulation to the omnipotent God. The belief of genesis is identical to the aeroplane crash, emergence of human beings becomes similar with the survivors who come across each other due to the crash on or near an isolated island in a remote region of the Pacific Ocean. Before genesis or creation, according to mythology, there must be a destruction or chaos and this becomes identical to the aeroplane crash. Further, finding a conch, which implies system and governance, can be linked up with the origination of governed society which was prevailing from the primitive age during the epoch of primitive aboriginal beings. Finally, the appearance of naval officer, whose party has landed to investigate the fire, is synonymous, to some extent, to the capitulation and surrender to God to be guided. His appearance is also identical to Deus ex machina , a device which was prevalent around since the time of Greek theatre. From another perspective the naval officer presents foucauldian disciplinary power which does not rely solely on force, instead it controls the subjects through hierarchical surveillance, normalising judgement and examination.

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mythology, foucauldian disciplinary power, microcosmic world

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This article tries to introduce the issues and challenges of the 21st century in India. Things are changing around us very dramatically, very quickly. The world is becoming more interconnected, the environment is becoming less stable, and technology is continuously altering our relationship to information. Changing global conditions demand that we rethink what, but even more important, how and where we learn. We need education for the 21st century. In response to the challenges, we face in the digital age, schools are starting to do education differently. Why restrict lesson times to an hour when half-day sessions allow pupils to delve really deeply into subject material? Many young people have smart phones, so why not allow them to be used as learning aids? Adults learn in the real world, why not let pupils? And, fundamentally, the best teachers are people who love learning, and the best way to make sure that you understand what you are learning is to teach. The schools that are taking this seriously are still in the minority. But across the world there is a growing global movement towards achieving the vision of 21st century education

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Challenges, Global Movement, Illiteracy, 21st Century Education

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The study was conducted among the Self-Help Members in Coimbatore city. The study is conducted to know the challenges and problems faced by the respondents. The study is based on primary data. A sample of 175 respondents was selected by convenient sampling method. Self-Help Groups are instrumental for rural development but are facing numerous problems. These problems include marketing, finance, quality, product, infrastructure, and facilitator's support.

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Self-help groups (SHG)

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This study focuses on the challenges posed by the increasing prevalence of senility or age-related cognitive decline among the elderly population in Bangladesh. The objectives of the study include identifying age-related physiological changes in various systems such as cardiovascular, central nervous, and musculoskeletal systems among the elderly. The research also aims to recognize common health problems associated with aging and to explore strategies for preventing or reducing risk factors contributing to functional decline, impaired quality of life, and disability in older adults. The research questions guiding this study inquire about the physiological changes occurring in various systems among the elderly, the roles and functions of nurses in geriatric care, and the need for further research to improve the care provided to the elderly population. This study contributes to the understanding of the unique challenges faced by elderly individuals dealing with senility in the Bangladeshi context and seeks to inform nursing strategies, interventions, and frameworks that can enhance the quality of life and healthcare outcomes for this population. The analysis delved into demographic features, health conditions, caregiving, and relationships of the elderly in the study. These insights shed light on aging, health challenges, and social dynamics. The age distribution skewed towards 60-70, especially 60-65, indicating a focus on younger elderly. A logistic regression model predicts dementia well. Graphs highlight factors limiting elderly activities, family relationship trends, prevalent health conditions, and demographic summaries. Key findings include the need for broader age inclusion, economic support, nurturing relationships, better healthcare, addressing lifestyle issues, and focusing on mental health. These findings hold implications for policies, healthcare planning, and elderly well-being. Recommendations involve diversified age representation, economic empowerment, support for relationships, enhanced healthcare, awareness campaigns, and ongoing research.

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Senility, Old Age, Dementia, Nursing, Demographic

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Herein, we report the biological activity of novel 1-cyclopropyl-6-fluoro-8-methoxy-7-susbstituted-4-oxo-1,4-dihydroquinolin-3-carboxylic acids. Almost all the series of compounds 3a-i showed moderate to excellent activity towards the bacteria and fungi under investigation. Some of them, particularly 3h and 3i can be exploited for formulation of bactericide and fungicide after detailed study by disc method and agar disc diffusion method. Chloroamphenicol and Fluconazole are used as standard positive control.

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antifungal and antibacterial activity, disc method, agar disc diffusion method, hydroquinolin.

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One of the main reasons for cancer-related fatalities worldwide is lung cancer. Patient survival rates and treatment outcomes are greatly enhanced by early identification. The development of computer-based systems for precise and effective lung cancer detection has advanced significantly thanks to developments in artificial intelligence (AI) and deep learning techniques. This research suggests a deep learning-based AI method for the early diagnosis of lung cancer.Convolutional neural network (CNN) architecture is used by the system to automatically analyse medical images, such as computed tomography (CT) scans or chest X-rays, and spot potentially malignant areas. The deep learning algorithm can understand intricate patterns and features indicating malignant tumours because it was trained on a vast dataset of annotated lung cancer photos. The suggested approach includes a number of steps in the detection of lung cancer. The first step in pre-processing medical photographs is to improve their quality and remove noise. The CNN-based model then carries out feature extraction and classification to find questionable areas in the images. The results are then refined in a post-processing stage to produce a final prediction. Extensive tests are run on a wide range of lung cancer imaging datasets to determine the viability of the proposed approach. To evaluate the model's diagnostic accuracy, performance metrics like sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (AUC-ROC) are generated. The outcomes show the promising potential of deep learning-based AI-based lung cancer diagnosis. The suggested method successfully detects lung cancer with high accuracy and sensitivity, assisting radiologists and clinicians in early identification and decision-making. Additionally, the system's automated nature makes efficient and reliable analysis possible, potentially lowering the workload placed on medical practitioners. Deep learning methods are used in an AI-based method for finding lung cancer. The suggested system exhibits the capacity to enhance early diagnosis and support improved patient outcomes.The proposed framework can be refined and incorporated into clinical practise as AI and deep learning technology continues to evolve, opening the door for more effective lung cancer detection and treatment methods.

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Artificial Intelligence, Deep Learning, Deep Convolutional Neural Network, Lung Cancer Detection,

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Background: Preterm babies are often subject to many complications in the first few weeks of life due to immature body system. Objectives: The purpose of the study is to assess the pre and post test level of physiological parameters among preterm infants and to evaluate the effectiveness of KMC on level of physiological parameters among preterm infants. Moreover to correlate between the physiological parameters among preterm infants after KMC. Methods: It was a Quantitative research approach one group pre and post test design conducted among preterm babies in NICU selected by using convenience sampling technique. Results: Kangaroo Mother Care is not significantly improves pulse (F = 6.13, P <= 0.01) and temperature (F = 7.46, P <= 0.01) of preterm babies. The respiration (F = 2.90, P > 0.05) and oxygen saturation (F = 1.97, P > 0.05) has no significant changes. There is a significant improvement in the weight gain (F = 5.69, P <= 0.01) of the preterm. The KMC intervention was continued in the preterm babies even after discharge, so can able to see the difference in physiological parameters in preterm's during the follow up care. Conclusion: There is a significant difference in the physiological parameters in preterm babies with the KMC intervention. KMC has emerged as a non-conventional low cost method for newborn care that provides warmth, touch, and security to the newborn and is believed to coner significant survival benefit. .KMC is one of the most effective interventions for preventing mortality of LBW infants.

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Kangaroo Mother Care, Physiological parameter, Preterm babies, Prevalence

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The stability of a transient IEEE 9 bus system with regard to voltage maintenance, generators, and the incorporation of distributed energy resources (DER) is examined in this research. The term "transient stability" describes a power system capacity to maintain synchronization in the face of difficult circumstances such a sudden loss of generation or substantial load swings. It is difficult to incorporate renewable energy sources (RES) within the constrained transmission line capacity, which has an impact on generator capacity. The reduction of system inertia caused by RES integration may have an effect on transitory situations. In order to solve this, we built a wind turbine generator (WTG) inside the point of connection (PoC) and tested the stability of transients by adding faults to the bus.

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DERs (Distributed Energy Resources), wind turbines, Synchronous Generator (SG), the Doubly-Fed Induction Generator (DFIG), Squirrel-Cage Induction Generator (SCIG), Power System Stabilizer (PSS) controller

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