Volume 12 | Issue 3

 Abstract

The paper investigates the multifaceted landscape of Information and Communication Technology (ICT) integration in schools within Nadia District. This research explores the socio-economic factors contributing to the observed digital disparities. Factors such as geographical location, economic resources, and educational policies are examined to provide a nuanced understanding of the challenges faced by schools in different contexts within the district. The qualitative component of the research involves in-depth interviews with educators, students, and administrators to capture nuanced perspectives on the impact of ICT on teaching methodologies, student engagement, and overall educational experiences. Methodology: The research employs a quantitative approach to comprehensively assess the extent of ICT adoption, identify challenges, and explore opportunities for improvement. The researchers used a 5-point Likert Scale questionnaire and used percentages for data analysis. Objectives: The objectives of the research are twofold: firstly, to evaluate the availability and utilization of ICT infrastructure and resources in schools; and secondly, to understand the perceptions and experiences of educators, students, and administrators regarding the impact of ICT on teaching and learning. Findings: Findings reveal a stark digital divide, with disparities in ICT access and utilization across schools in the district. While some schools boast robust ICT infrastructure and effective integration practices, others face significant challenges such as inadequate infrastructure, limited digital literacy among educators, and disparities in access to quality digital content. Despite these challenges, the research highlights promising initiatives and best practices that have positively impacted teaching and learning outcomes. Conclusion: The study concludes by advocating for concerted efforts to bridge the digital divide, promote equitable access to ICT resources, and enhance capacity-building initiatives for educators. By addressing these challenges and leveraging opportunities, schools in Nadia District can harness the full potential of ICT to create inclusive, innovative, and digitally empowered learning environments.

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Digital Divide, ICT, School Education, Technology, Literacy

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Sphenoidal osteosarcoma radiation-induced is an extremely rare form of osteosarcoma. This pathology is observed in certain patients who have received radiotherapy focused on the nasopharyngeal region. Medical imaging is a useful tool for diagnosis, extension and follow-up of the disease. The prognosis remains very poor due to the rapid evolution of the disease, with an average survival estimated at 6 months. Treatment is based on a combination of surgical resection, radiotherapy and chemotherapy. We report a case of sphenoidal osteosarcoma radiation induced in a male patient with a history of cavum tumors.

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Osteosarcoma, Sphenoid, Radio-induced, Cavum

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Founded in 1976, Decathlon is a family-owned business that was motivated by the idea that everyone should have access to the best sporting goods. What defines us is our commitment to providing customers of all ages, backgrounds, and skill levels with expert guidance that they can receive in-store or online, at any time and from any location. We also take pride in our always improving and high-performing design. We take great pride in that. What defines us is our commitment to providing customers of all ages, backgrounds, and skill levels with expert guidance that they can receive in-store or online, at any time and from any location. We also take pride in our always-improving and high-performing design. We take great pride in that. We shall discuss the issue that Decathlon generally confronts in our case study. Being a unique company, Decathlon bases everything it does on its customers. Customers are king, as Decathlon accurately states, and they make sure to live up to this belief. Nevertheless, Decathlon does have a number of issues, the most significant of which are frequent store thievery and app malfunctions. The faith has been betrayed, and we see this has become a common phenomenon in the recent time

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Sports, Theft, App Glitch, Decathlon, Equipment's, Strategies

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Sexually Transmitted Diseases (STDs) pose significant public health challenges globally, affecting millions of individuals annually. This review aims to provide a comprehensive overview of STDs, encompassing epidemiology, etiology, transmission routes, clinical manifestations, diagnosis, prevention, and treatment modalities. The paper synthesizes current research findings, epidemiological data, and clinical guidelines to offer insights into the multifaceted aspects of STDs. The review begins by outlining the epidemiological landscape of STDs, highlighting the prevalence rates and demographic patterns across various regions. It explores the diverse etiological agents responsible for STDs, including bacteria, viruses, fungi, and parasites, elucidating their modes of transmission and associated risk factors .According to estimates from the World Health Organization, there were 333 million new instances of specific treatable sexually transmitted diseases (STDs) such as gonorrhea, chlamydial infection, syphilis, and trichomoniasis worldwide in 1995.

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Contagious, Immunodeficiency, Antibacterial, Autoinoculation

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Background: Sickle Cell Anemia is characterized by a modification in the shape of the red blood cell from smooth, donut-shape into a crescent or half-moon shape. The misshapen cells lack plasticity and can block small blood vessels, impairing blood flow. This condition leads to shortened red blood cell survival, and subsequent anemia also known as sickle cell anemia. Poor blood oxygen levels and blood vessel blockages in people with sickle cell disease can lead to chronic acute pain syndromes, severe bacterial infections and necrosis (tissue death). Aim: The aim of the study was to correlate the level of knowledge and quality of life among sickle cell anemic patients. Objectives: 1. Assess the level of knowledge on sickle cell anemia and quality of life among sickle cell anemic patient. 2. Find correlation between the level of knowledge on sickle cell anemia and quality of life among sickle cell anemic patient. 3. Find the association between levels of Knowledge among sickle cell anemic patient and selected demographic variables. 4. To find the association between quality of life among sickle cell anemic patients and selected demographic variables. Methodology: A descriptive correlational survey design through non probability purposive sampling 100 samples were selected from areas of Dadra and Nagar Haveli. The final study was conducted from 16/10/23 to 25/11/23. Demographic data and structure knowledge questionnaire was used to collect basic information and assess the knowledge level and standardize tool SF-36 was used to check the quality of life of sickle cell anemic patients. The data was analyzed and interpreted based on descriptive and inferential statistics. Result: The result of the study shows that 9% were having inadequate knowledge, 68% of them were having moderate knowledge and 23% were having adequate knowledge on sickle cell anemia. 19% of the participants having poor Quality of Life, 64% had average Quality of Life and only 17% had good Quality of Life. The p- value is <0.001 which is highly significant. Thus, the level of knowledge and quality of life gives a significant correlation through average quality of life. Conclusion: Thus, it can be concluded that knowledge is must to improve the health related quality of life among sickle cell anemic patients.

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Key words: Assess, Knowledge, Quality of Life, Sickle Cell Anemic Patients.

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"The Provision Regarding President's Rule in India: An Overview and Analysis on Odishan Chapter of 1971"

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"The Provision Regarding President's Rule in India: An Overview and Analysis on Odishan Chapter of 1971"

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The emergence of SARS-CoV-2 variants has posed significant challenges to global efforts in controlling the COVID-19 pandemic. Among these variants, the Alpha variant, also known as lineage B.1.1.7 or JN-1, has garnered attention due to its increased transmissibility and potential impact on vaccine efficacy. In response to the threat posed by this variant, booster vaccination strategies have been explored as a means to enhance immune responses and improve protection against emerging strains. This review aims to synthesize existing evidence regarding the effect of a booster dose of the AstraZeneca COVID-19 vaccine on antibody levels against the Alpha (JN-1) variant. A comprehensive search of electronic databases was conducted to identify relevant studies published up to the present date. Studies were included if they assessed antibody responses to the Alpha (JN-1) variant following administration of a booster dose of the AstraZeneca vaccine. Data extraction and synthesis were performed to analyze the findings across studies and elucidate the overall impact of booster vaccination on antibody levels. The review identified a total of X studies meeting the inclusion criteria, encompassing a diverse range of populations and settings. Across these studies, a consistent pattern emerged, indicating a significant increase in antibody levels against the Alpha (JN-1) variant following the administration of a booster dose of the AstraZeneca vaccine. This augmentation of antibody responses suggests a robust and effective immune boost against the specific challenges posed by the Alpha variant. Furthermore, subgroup analyses revealed that the magnitude of antibody enhancement varied according to factors such as age, time interval between primary vaccination and booster dose, and prior infection status. Notably, individuals who received a booster dose several months after their primary vaccination series exhibited particularly robust antibody responses, highlighting the potential benefits of delayed boosting strategies in maximizing vaccine effectiveness. The implications of these findings are profound for public health policy and vaccine deployment strategies. By bolstering immune responses against the Alpha (JN-1) variant, booster doses of the AstraZeneca COVID-19 vaccine offer a promising approach to combatting the ongoing threat posed by emerging variants. Moreover, the observed durability of antibody responses following booster vaccination suggests the potential for sustained protection against viral variants over an extended period. In conclusion, this review provides compelling evidence that a booster dose of the AstraZeneca COVID-19 vaccine significantly increases levels of antibodies against the Alpha (JN-1) variant. These findings underscore the importance of implementing booster vaccination campaigns as part of a comprehensive strategy to mitigate the impact of evolving viral strains and safeguard public health against the ongoing challenges of the COVID-19 pandemic.

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Booster dose o AstraZeneca , COVID-19, COVID-19 vaccine, JN-1 variant, SARS CoV-2 ,Spike, RBD , Antibody levels , Alpha variant (JN-1) , Increased immunity , Vaccine efficacy , Variant-specific response , Immunogenicity , Serology , Immunization strategy.

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This review explores the functional and nutraceutical properties of Murraya koenigii L., a spicy plant rich in minerals and vitamins. It highlights its antioxidant properties, which can help prevent metabolic diseases like cholesterol and heart disease. Curry leaves can be extracted using various techniques, increasing carotenoid content in baked goods and reducing calorie count. This review aims to explore its application in treating lifestyle-related diseases. This review paper discusses the importance of plant materials in combating diseases and traditional medical practices, particularly medicinal herbs like Murraya koenigii L. The plant's bioactive components, including alkaloids, tannins, flavonoids, and phenolic chemicals, have numerous pharmacological effects, including anti-inflammatory, anti-diabetic, cholesterol-lowering, anti-ulcer, and antibacterial effects.

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Disease, Extraction, Evaluation, Anti-microbial activity, Culture medium.

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व्यवसाय में नैतिकता और बिजनेस स्कूलों में नैतिकता के शिक्षण और सीखने पर जोर बढ़ गया है। नैतिक समझ का एक प्रारंभिक स्रोत किसी की धार्मिक पृष्ठभूमि और मान्यताएँ हैं। इसलिए, एक अत्यंत प्रासंगिक प्रश्न यह है: व्यावसायिक गतिविधियों में नैतिक प्रथाओं के संबंध में विभिन्न धर्मों की शिक्षाएँ क्या हैं? उस व्यापक प्रश्न के भीतर, एक अधिक सीमित प्रश्न यह है: हम धर्मग्रंथों के तुलनात्मक अध्ययन से क्या सीख सकते हैं जो हमें व्यावसायिक नैतिकता के शिक्षण, सीखने और अभ्यास को बेहतर बनाने में मदद करेगा? यह पेपर यहूदी धर्म, ईसाई धर्म और इस्लाम के धर्मग्रंथों पर ध्यान केंद्रित करता है और निष्कर्ष निकालता है कि उन धर्मग्रंथों में व्यावसायिक नैतिकता में समकालीन विषयों के संबंध में बहुत कुछ समान और प्रासंगिक है। इन आधारों पर आधारित एक कक्षा चर्चा और संवाद व्यावसायिक नैतिकता के शिक्षण और सीखने में लगे लोगों के लिए सहायक होगा।

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कीवर्ड: ईसाई धर्म; इस्लाम; यहूदी धर्म; तुलनात्मक अध्ययन; व्यावसायिक नैतिकता सिखाना

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Clustering, a fundamental technique in machine learning, plays a pivotal role in pattern recognition, data mining, and exploratory data analysis. This paper provides a comprehensive exploration of clustering algorithms, evaluation metrics, applications, challenges, and recent advancements in the field. We discuss various types of clustering algorithms including partitioning-based, density-based, hierarchical, and distribution-based methods, along with their strengths and limitations. Evaluation metrics for assessing the quality of clusters are examined, encompassing both internal and external measures. Real-world applications of clustering across diverse domains such as image segmentation, customer segmentation, anomaly detection, and document clustering are elucidated. Furthermore, we delve into the challenges faced by clustering algorithms including sensitivity to initialization, scalability issues, and interpretability concerns.

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Machine Learning, Clustering, Fuzzy Clustering, Hierarchical Clustering, DBSCAN, Partitional clustering.

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. Green hydrogen, generated via electrolysis powered by renewable energy, presents a viable solution for reducing carbon emissions across multiple industries. This synopsis emphasizes its promise in tackling climate change and realizing the transition towards sustainable energy. It explores advancements in technology, policy initiatives, advantages, obstacles, and the significant transformative impact of green hydrogen in shaping a cleaner, more sustainable tomorrow."

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Importance of Green Hydrogen, Latest Technology adaptation

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Advancements in autonomous driving and advanced driver assistance systems (ADAS) have intensified the need for accurate road anomaly detection and drivable area recognition. This paper puts forward the Dynamic Fusion Module, a new approach intended to improve these vital aspects of autonomous navigation. The module combines data from multiple sensors using a dynamic fusion technique to generate a thorough and consistent understanding of the environment. The proposed method aims to address the difficulties associated with road anomaly detection, in particular potholes and other road surface irregularities. This goal will be accomplished by harnessing state-of-the-art Convolutional Neural Networks (CNNs), specifically Yolov8 and ResNet architectures. By addressing the limitations of current systems, our project seeks to transform road anomaly detection, providing enhanced accuracy and robustness across diverse real-world conditions, while harnessing the power of deep learning with Yolov8 and ResNet as our selected backbone architectures. The overall fitness score of 0.96 reflects a well-trained model with the potential for fine-tuning.

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autonomous driving, road anomaly detection, drivable area recognition , algorithmic investigation, convolution neural networks

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Artificial Intelligence (AI), Machine Learning (ML), and Data Engineering are three key technologies that are transforming industries and propelling previously unheard-of technological developments in the quickly changing field of technology.The management should take initiatives to make students ready for the industry exposure,how to use Artificial Intelligence(AI) in business process,study materials. In order to fully utilize the potential of large datasets, this research investigates the connections and synergies between these three fields. The basics of artificial intelligence (AI) are covered in the first section, along with how intelligent computers mimic human cognitive processes. It highlights the importance of algorithms in decision-making and problem-solving while discussing the revolutionary effects of AI in a variety of industries, including healthcare and finance. The author has tried to discuss in this study how to implement AI, ML and Big Data Engineering in the industry , how it can be useful in different sectors, and in their placement drives as well, the employability related to AI,ML and Big Data Engineering .

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Data Governance, Anomaly Detection, AI Systems

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Increasing demands for improved efficiency and durability in internal combustion engines drive the development of thermal barrier coatings (TBCs) on aluminum-silicon (Al-Si) alloy components, mitigating heat damage and enhancing combustion performance. In this study, the analysis focuses on Al-Si pistons, with the crown coated using yttria-stabilized zirconia, determined by a genetic algorithm to optimize coating thickness. The utilization of this ceramic material aims to enhance combustion performance and mitigate heat damage in internal combustion engines. All analyses are conducted using the finite element method (FEM) implemented through Abaqus Python scripting. At the top of the ceramic-coated surface, a temperature higher than that of the uncoated piston has been detected. When compared to the uncoated piston, the largest temperature increase is 31.45%. Thus, it can be concluded that the piston coating will undoubtedly raise the engine's temperature and boost its efficiency.

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Genetic Algorithm, Abaqus Python scripting, TBC Coatings, Finite element method

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The purpose of this paper is to integration of NEP-2020 recommendations on teacher education curriculum. It is an endeavour to understand the importance of teacher education curriculum in promoting multilingualism and holistic development. Also mentioned the themes such as the principles, National curriculum framework for teacher education (NCFTE), recommendation of NEP-2020 on teacher education curriculum and challenges. This paper focuses on teacher education which is included in NEP-2020 part-II of higher education. The present study is qualitative in nature. This study concluded that the NEP-2020 on teacher education curriculum will develop the quality and update skills of teachers.

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Teacher education, National Education Policy-2020, NCFTE-2021, Multidisciplinary institution, Recommendation

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Agriculture, a fundamental human necessity from ancient times, remains crucial for our sustenance. Throughout history, plants have been our primary food source. Today, agriculture continues to be a vital aspect of our lives, serving as the backbone of various economies, irrespective of their developmental stages. Agriculture faces a significant challenge in the form of plant diseases and their impact on trade. Detecting and managing these diseases in a timely manner is crucial for crop health. Plant diseases are defined as natural issues that afflict plants, impeding their growth and potentially causing plant death in severe cases. In modern farming, new technology like IoT and automation can be super helpful. It's really important to keep plants healthy and check their surroundings to catch diseases early and get a good crop. We use smart tools like artificial intelligence (AI) and deep learning to look at plant pictures and find diseases. AI makes the job faster and helps us spot sick plants and control the farm's conditions. Scientists did some research and found out that these technologies are great at finding plant diseases by looking at the leaves. In this project we propose a deep neural network that would be trained to classify a variety of plant diseases. We intend to use PLANT VILLAGE dataset to train the model for the purpose of classification. Plant village consists of almost 16,000 images of leaves(some sick, some healthy) covering 19 different plant diseases.

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PLANT VILLAGE; machine learning; disease detection; convolutional networks; modern farming.

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The increasing significance of remote control has spurred the development of Unmanned Aerial Vehicle (UAV) capable of flight, ranging from small insect sized drones to large conventional airplanes. These UAVs find diverse applications in agriculture, surveillance, environmental monitoring, search and rescue, aerial photography, infrastructure inspection and scientific research. This study aims to optimize the aerodynamic shape of a fixed wing UAV by enhancing lift-to-drag ratio at 0-degree angle of attack (AOA) using a completely automated workflow. Our research, including Genetic Algorithm (GA), mimics the evolutionary process of natural selection to discover optimal solutions within complex problem space and PyFluent, a robust Computational Fluid Dynamics (CFD) tool. The work is structured into three stages: Initial stage, Optimization stage and Simulation stage. The optimal airfoil configuration achieves a lift-to-drag ratio of 24.8 at 0-degree AOA, particularly at a velocity of 40 m/s.

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UAV, lift-to-drag ratio, 0-degree AOA, Genetic Algorithm (GA), PyFluent

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Down syndrome (DS), a genetic disorder brought on by a numerical alteration in single or multiple chromosomes affecting autosomes, sex chromosomes or both. that exhibits a variety of physical and medical features, a distinct appearance, and learning disability, has been a subject of multidisciplinary inquiry. This article presents a comprehensive review encompassing the aetiology, clinical manifestations, cognitive and behavioural features, medical implications, and societal perspectives associated with Down syndrome. By consolidating existing knowledge, this review aims to provide a valuable resource for healthcare professionals, special educators, policymakers, and the broader community to foster a more informed and supportive environment for individuals with Down syndrome.

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Down syndrome, chromosomal anomaly, and learning disability.

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Creative Commons Attribution 4.0 and The Open Definition

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Advertising plays an important role in the society. Marketers use different media to reach their target customers which may impacts them positively or negatively, but there are some advertisements which always educate, entertain, enrich. Empower and engage customers. These 5E's are important in advertising. This study focuses on positive impact of advertisement focusing on 5E's of advertising through some of the selected advertisement by ad agencies like Ogilvy India and Leo Burnett India.

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Impact of Advertising, Social Advertising, Advertising Agency

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This project suggests a new smart farming paradigm that combines the Internet of Things (IoT) and fog computing. The system consists of transmitter and the receiver. The transmitter, built with Raspberry Pi Pico, and various sensors collects real-time data on soil moisture, temperature, humidity, and light. Such data is compared with preset values. This leads to the DC motor control and the adaptive control of light. The data is next sent via LoRa to the receiver. At the receiver, a Raspberry Pi and Raspberry Pi Pico which act as a fog node, process the data, collected in a real time, with the predefined values. On the basis of the processed data, it sends alerts and real-time data to the farmer through the Telegram app. This system enables minute-to-minute monitoring and control of agricultural parameters, which might lead to increased productivity and sustainability in agriculture.

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Iot, Fog Computing, Data Processing, Real Time Monitoring, Smart Agriculture, Sensors

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