Volume 12 | Issue 3

 Abstract

The present study has been conducted to evaluate the effectiveness of blended learning with respect to attainment of course outcomes in B.Ed. Program. The purpose of this study is to examine an effectiveness of blended learning for outcome program learning. Specifically, this study examines whether blended learning is as effective instructional tool as conventional Learning in teaching learning process. This Quasi -experimental study compared the performance of two groups of students, one using the blended learning and other using the conventional Learning for attainment of course outcomes in B.Ed. Program. The students were compared on the basis of their skills .The achievement scores were measured, after the pre and the post-treatment. The study shows that blended learning is more effective for attainment of understanding, developing and analyzing level of course outcome then conventional Learning but not effective for creating and evaluating level of course outcomes. These findings indicate that blended learning have significant effective on basic level of attainment of course outcomes in B.Ed. Program.

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Blended Learning, Outcome Based Program, Course Outcomes

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India's G-20 (the group of 20 nations) presidency offers the opportunity for us to set the agenda for the next phase of development. Women-20 (W20) is an official engagement group under the G-20 which focuses on actualizing vision of "Women-Led Development" in order to create a world of equality and equity. The new India envisions women as equal partners in the sustainable development of the country which is possible only when there is gender inclusiveness in all spheres of public and political life. The Sustainable Development Goal (SDG) targets women's effective participation and opportunities for leadership at all levels of decision making, promotes gender inclusive public administration and institutions. In the light of above discussion this research paper is an attempt to find out how gender inclusive Indian Public Administration is? Further the paper suggest ways, W20 can adopt to prioritize the collection of gender-disaggregated data for developing targeted interventions and monitoring progress towards gender equality. Also how W20 will play a crucial role in advancing the SDG target of an inclusive administration that is sensitive towards women-led growth of the country.

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Women-20 (W20), Gender-Inclusive, Women-Led Development, Sustainable Development Goal (SDG), Indian Public Administration

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The cloud resources are accessible to cloud users over the internet to accomplish the desired requirements in the fields of finance, education, internet business, and nearly all organizations. Enhancing the effectiveness and performance of a cloud environment requires job scheduling to optimize resource allocation and utilization.. The job scheduling issue mainly focuses on the best or optimal solution for mapping of jobs to the virtual machines to minimize the total processing time of jobs. This paper presents a novel approach for enhancing job scheduling in cloud computing through the Atomic Orbital Search (AOS) algorithm. The Atomic Orbital Search (AOS) is a metaheuristic algorithm which draws inspiration from the principles of atomic orbitals in quantum mechanics, improves scheduling possibilities of jobs to the virtual machines efficiently enabling faster and more optimal scheduling leading to improved resource allocation, reduced time complexity and enhanced overall system performance.

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Cloud, Job Scheduling, AOS, Metaheuristic, Quantum Mechanics, Resource Allocation.

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Education is considered as an index of human development and as the instrument of social change. National Education Policy -2020 is the first policy of the 21st century which proposes the revision revamping of all aspects of the education structure including the regulation and governance, to create a new system that is aligned the aspirational goals of 21st century education including SDG4, while building upon India's traditions and value system. This article concerned fundamental principles of National Education Policy-2020 and its perspectives regarding teacher education.

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Principles of National Education Policy-2020 and Perspectives of Teacher Education

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The banking system has evolved drastically over time, moving from the old brick-and-mortar model where clients waited in line for services to the current one where banks are always accessible. The banking app changes traditional banking into a contemporary, effective, and safe experience, from checking your account balance to completing simple transactions. The objectives of the study were to know the usage of the banking app over the UPI app and to know the satisfaction among users regarding the usage of the Banking app. The study employed percentage analysis with a sample size of 52 participants. It was found that there are more UPI users than bank app users, the UPI app is more user-friendly than the banking app, and the UPI app is rated at 5, whereas the banking app is rated at 3.

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Banking App, UPI App, Scan & Pay.

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ABSTRACT INTRODUCTION:Mucins are high molecular weight glycoproteins that are synthesized, stored and secreted by the epithelial mucosal cells of GIT. The gastric mucosa can be divided into three histological areas like superficial, neck and deep zones. The superficial zone composed of single layer of mucin secreting columnar cells. The neck zone, largely of immature stem cells mixed with some mucous neck cells. The deep zone is composed of glands, the bases of which lie close to or in muscularis mucosae. Mucins are classified into neutral and acidic mucins; the latter include sulpho and sialomucins. In the GIT, both neutral and acidic mucin are present at specific locations and their production is increased or reversed in various diseases and malignancies of GIT. AIMS AND OBJECTIVES OF STUDY:The main aims of this study was, 1. To study the pattern of Mucin staining in gastric biopsies and resected specimens. 2. To find out the difference in Mucin distribution in Benign and Malignant lesions of stomach. MATERIALS AND METHODS:The specific procedures which were used to identify mucin distribution and pattern in Normal and Malignant Stomach include following steps.. ? FIXATION, ? GROSSING, ? TISSUE PROCESSING, ? EMBEDDING, ? SECTION CUTTING and ? STAINING. RESULTS:A total of 45 cases were enrolled during the entire study period. The specimen received included gastric biopsies (30 cases) and gastrectomies ( 15). The diagnosis made in our study was chronic gastritis ((51.11%), Adenocarcinomas(40%) and hyperplastic polyps (8.89%). All the 45 cases were PAS positive. Out of 45 cases, 24 cases showed weak or variable staining for combined Alcian Blue-PAS (+/-). 19 cases showed moderate staining for combined Alcian Blue-PAS (++), and 2 cases revealed Strong staining reaction for combined Alcian Blue -PAS stain. Out of 45 cases, 35 case were weakly or variably stained for Alcian Blue reaction(+/-).8 were moderate stained for Alcian Blue(++), and only 2 showed strong staining reaction for Alcian Blue(+++).The total no. of Adenocarcinoma cases were 18(40%), all of these cases were positive (+++) for PAS stain. The 23(51.11%) cases of gastritis were also positive for PAS stain (+++) as were the cases of hyperplastic polyp 4(8.89%). CONCLUSION: In the current study we concluded that mucin stains play an important role in the diagonosis of various benign and malignant lesions of the stomach.The pattern of mucin stains done with PAS, PAS with Diastase, Alcian Blue and Combined PAS- Alcian Blue were helpful in diagonosis and categorisation of various lesions. These stains added beneficially to the histopathological findings on routine H and E stains,besides being easy to perform and cost- effective. KEY WORDS: mucins, staining, gastritis, adenocarcinoma.

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mucins, staining, gastritis, adenocarcinoma.

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The widespread concept of nickel hydride in the Ni-H system is discussed based on the first-principle atomic calculations and experimental X-ray diffraction data. The total cohesion energy in Ni-H solid solution has been determined using the density functional theory and program package Wien2k. Its dependence on hydrogen concentration is shown to be linear, which suggests the absence of any energy barrier for precipitation reaction. Moreover, the second derivative of the calculated solution enthalpy is negative within the hydrogen-to-nickel ratios, H/Ni, of 0.03 to 0.75, which is a sign of spinodal decomposition. These hydrogen concentrations are consistent with the measurements of X-ray diffraction, of which results are usually interpreted in terms of Ni hydride. The density of electron states has been calculated, and its non-monotonous concentration dependence correlates with that of solution enthalpy, as also expected for spinodal decomposition. The obtained results are interpreted as miscibility gap in the Ni-H system with spinodal decomposition having the electron origin. Finally, the "hydrides" in d-metals are discussed in terms of two Gibb's types of precipitation reactions.

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Nickel; Hydrogen; Ab initio calculations; Spinodal decomposition; Hydride

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In the rapidly evolving landscape of the 21st century, characterized by technological advancements, globalization, and dynamic economic shifts, the imperative for skill development has become more pronounced than ever before. This abstract explores the significance of aligning skill development initiatives with the current needs of the hour, focusing on the multifaceted dimensions of education, workforce, and societal demands. The modern era is witnessing unprecedented transformations across industries, with emerging technologies such as artificial intelligence, automation, and data analytics reshaping job requirements. As a result, the skill sets demanded by the job market are continually evolving, emphasizing the need for individuals to acquire adaptable and future-proof skills. Educational institutions and training programs must reorient their curricula to incorporate a blend of technical competencies, critical thinking, and soft skills to prepare individuals for the diverse challenges of the contemporary workforce. Furthermore, globalization has interconnected economies and workforces, necessitating a set of skills that transcends geographical boundaries. Cross-cultural communication, global awareness, and proficiency in virtual collaboration have become integral components of skill development to foster a globally competent workforce. The ability to navigate diverse cultural contexts is crucial for individuals to thrive in an interconnected world and contribute meaningfully to their respective fields. The societal landscape is also undergoing significant changes, with an increasing emphasis on sustainability, social responsibility, and ethical considerations. Skill development initiatives must incorporate values such as environmental consciousness, social equity, and ethical decision-making to address the broader needs of society. A holistic approach to skill development involves not only technical proficiency but also a commitment to social and environmental responsibility.

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Key aspects of skill development, significant importance of skill development initiatives aligning with current needs of hour and ways to facilitate skill development

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Cord blood is usually discarded with the placenta and umbilical cord. Unique multi potent stem cells have been discovered in the placenta. These cells offer a renewable source of replacement cells to treat a multiple of diseases. The main objectives of the study are to assess the effectiveness of self-instructional module regarding importance of cord blood among staff nurses. Methods and materials Quantitative research approach with one group pre -test post -test design was used to find out the knowledge on importance of cord blood among staff nurses. The study was conducted among 40 staff nurses of IGM hospital, Agartala, Tripura. Sample was selected by non-probability purposive sampling technique. Semi Structured questionnaire was used to assess the knowledge of staff Nurses regarding importance of cord blood. Major findings The Overall findings that, mean post-test knowledge score of the staff nurses were significantly higher than the mean pre-test knowledge with a mean difference of 4.4; t value was 9.35, which was significant at 0.05 level.

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Effectiveness, SIMS, Cord blood, Staff Nurses.

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In recent years, there has been a notable surge in interest surrounding forensic face sketch construction and recognition, primarily due to their crucial role in criminal investigations. Within the realm of forensic science, it is evident that hand drawn face sketches are still very limited and time consuming when it comes to using them with the latest technologies used for recognition and identification of criminals. The construction of accurate facial sketches from description of eyewitness is a critical step in the investigation process. This research explores using computer vision and deep learning to accurately match hand-drawn face sketches to digital images. Deep learning can help overcome the large differences between sketches and photos. The proposed method involves training a model on a large dataset of face images and corresponding sketches, enabling it to generate sketches from facial images and match sketches with corresponding images accurately. The goal is to develop a system that identify individuals from sketches as accurately as possible to assist law enforcement. The outcomes of this study help in advancing the field of facial recognition and reliable sketch matching would provide law enforcement and forensics with a valuable new tool for identification when robust photo evidence is not available.

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Deep Learning, Forensics, Recognition

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: A UAV drone for smart agriculture, often referred to simply as an agricultural drone, is an Unmanned Aerial Vehicle (UAV) equipped with various sensors. Unmanned aerial vehicles, or UAVs, are becoming increasingly popular in a variety of applications, including field mapping, agriculture, and obstacle avoidance. Path planning, which entails creating ideal trajectories to move through surroundings effectively while avoiding obstacles, is a crucial component of UAV operation. A MATLAB simulation framework for UAV path planning is presented. A simulation-based method for assessing UAV path planning tactics for agricultural areas is presented in this paper. The main goal is to create and evaluate path planning algorithms that maximize UAV paths for effective data gathering and surveillance in agricultural environments. Furthermore, the platform enables users to adjust factors like obstacle density, mission objectives, and UAV speed to evaluate the effectiveness of various path planning algorithms in varied scenarios. All things considered, this MATLAB simulation framework is a useful resource for engineers, academics, and practitioners that plan UAV routes.

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UAV; MATLAB; Path planning; Obstacle avoidance;

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Micro, Small, and Medium Enterprises (MSMEs) are an essential part of India's economy as they contribute significantly to employment generation and GDP growth. The Government of Uttar Pradesh has launched the One District One Product (ODOP) scheme to encourage local entrepreneurship and improve the competitiveness of MSMEs by focusing on the unique products of each district. This research paper analyzes the challenges and opportunities faced by MSMEs operating under the ODOP scheme in Uttar Pradesh. Through a comprehensive study that includes primary surveys, interviews, and secondary data analysis, the paper identifies key hurdles such as insufficient infrastructure, limited access to finance, bureaucratic hurdles, and technological constraints. However, the study also highlights several opportunities, including market expansion, skill development, government support schemes, and the potential for sustainable growth through product diversification and innovation. These findings provide valuable insights for policymakers, industry stakeholders, and MSMEs themselves to overcome challenges and leverage opportunities for the successful implementation of the ODOP scheme, thereby fostering inclusive economic development at the grassroots level.

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MSMEs, ODOP Scheme, Uttar Pradesh, Challenges, Opportunities, Entrepreneurship, Economic Development

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Pneumonia is a condition characterized by the acute inflammation of the lung parenchyma, which is caused by a variety of microorganisms, including bacteria, viruses, fungi, and parasites. The utilization of antibiotics often encounters challenges in terms of the multitude of types available and the improper dosages administered. Furthermore, prolonged antibiotic use can escalate the risk of multidrug resistance (MDR) in bacteria. Consequently, it is imperative that the selection and dosage of antibiotics be appropriate in order to mitigate the rate of bacterial resistance. The escalating prevalence of bacterial resistance serves as an indicator of the failure in treating pneumonia, as the eradication of bacteria should be the ultimate objective in antibiotic administration, in addition to clinical improvement. The aim of this review of existing literature is to elucidate the rationale behind the administration and selection of empiric antibiotics for pneumonia infections, as well as to outline appropriate antibiotic management and ensure its adequacy, particularly in cases of bacterial pneumonia.

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KEYWORDS: Antibiotics, Bacterial pneumonia, Management

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A partial word is a word over a finite alphabet that contain some unknown places known as holes or "do not know" symbols. A partial word w is said to be primitive if there does not exist any word v such that w is contained in v n with n >= 2. In this paper, we investigate the effect of insertion operation on primitive partial words with a single hole. We characterize a special class of such words and call it as ins-robust primitive partial words. We identify some important properties of such partial words and prove that the language of non-ins-robust primitive partial words with one hole is not context-free.

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Combinatorics on Partial Words, Primitive Partial Word, Ins-robust Primitive partial Word, Reflective, Context-free Language

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 Abstract

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?????, ?????, ??????,

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The bank Framework is a program that keeps track of a person's account in a bank. In this project, I attempted to demonstrate the operation of a financial record system as well as the importance of a Ledger. The framework of the bank. To create a project for meeting a client's monetary needs in a financial environment, to meet the needs of an end banking client by including alternative ways to run banking errands. Similarly, to allow the client's work space to have additional functionalities that are not included in a standard financial mission. The monetary equilibrium The executives Framework, which has been adopted as a business venture, is reliant on significant advancements. The main goal of this project is to develop programming for Ledger.

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Internet banking; user acceptance; management control system; banking information; real early warning module; embedded; risk prediction

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Banks give ATM cards to client to mileage the services like cash pullout, Leg change, balance inquiry etc. But physical cards have some problems. It can be stolen, skimmed, reproduced, commandeered, damaged or expired. Due to this problem, we need to suppose an alternate way to give better security. Numerous experimenters are allowing about cardless sale through ATM. proposed a abstract model for cardless Electronic ATM through which client can do cash pullout, balance inquiry, fund transfer etc. We've anatomized their protocol and plant some excrescencies on this. This protocol doesn't specify what if it's off us sale. Either, guests get different orders of services but this protocol cannot determine which client will get which order of services. For this applications we are using face detection with the account number, adhar number, pin number, mobile number and name. When we recognize the face then it will give access to enter the ATM details. After that it will send message to the phone number. if we enter the password it will give transaction access. for this purpose we are using deep learning.

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CARDLESS TRANSACTION USING OTP

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This paper presents a novel approach to detect purple blotch disease in crops using Convolutional Neural Networks (CNNs). Purple blotch disease is a fungal infection that affects crops like onions, garlic, leeks, and shallots, leading to reduced yields and economic losses. Our method involves training CNN models on a comprehensive dataset of high-resolution images depicting onion leaves with and without purple blotch lesions. Data annotation is performed to label the affected areas, and preprocessing techniques such as data augmentation and normalization are applied to enhance model robustness. Transfer learning is employed to fine-tune pre-trained CNN architectures, improving classification performance. Experimental results demonstrate the efficacy of our CNN-based approach in accurately identifying purple blotch lesions on onion leaves. Furthermore, the trained models exhibit robustness when applied to real-world images captured under varying conditions. Precision and recall metrics are evaluated to assess model performance, and hyperparameter tuning is conducted to optimize accuracy. Our research contributes to advancing agricultural technology by providing a reliable and efficient method for early detection of purple blotch disease, thereby enhancing crop productivity and sustainability.

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Purple Blotch, YOLOV8, Convolutional Neural Networks.

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Introduction; Patients are suffering from pain during peripheral intravenous cannulation, and they need an intervention to reduce the pain during peripheral intravenous cannulation. By using the Valsalva Maneuverer Technique reduce the pain during intravenous cannulation. The objectives; 1) To assess the level of pain in patients undergoing peripheral intravenous cannulation in experimental and control group.2) To assess the effectiveness of Valsalva Maneuverer Technique in Pain reduction among patients undergoing peripheral intravenous cannulation in experimental group.3) To find out the association between the level of pain score among patients undergoing peripheral intravenous cannulation with selected demographic variables in experimental and control group. Method; A quantitative research approach with a quasi-experimental design was adopted for the study. A total 80 subjects were selected by non-probability purposive sampling technique. Data were collected by using demographic variables and a numerical rating scale. Result; The result revels that the calculated value of unpaired "t" test = 7.56 which is greater than the table value of the unpaired "t" test: 1.64 (df 78) at the level of P <0.05. Interpretation and conclusion; The data shows that the calculated "t" value is greater than the table value of "t". Thus, there is significant effect of Valsalva maneuverer technique in reducing the pain during peripheral intravenous cannulation among patients.

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Valsalva maneuverer Technique, intravenous cannulation

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ABSTRACT Despite an increase in interest pertaining to the benefits of yoga practice, research focusing on the relationship between yoga practice and attention is limited. This study employed a quasi-experimental pre-test, post-test design to measure whether physical activity had an immediate effect on selective attention and mental concentration in young adults, aged 18 to25. More specifically, this study compared yoga and aerobic exercise classes to assess whether yoga practice improved attention beyond aerobic activity. The yoga and aerobic groups completed two surveys and the d2 Test of Attention at two observation points: immediately prior to and immediately following participation in their respective classes. An analysis of variance (ANOVA) found a statistically significant improvement between pre- and post-test scores on attention for both groups, with a greater improvement for the aerobic group. The findings show that physical activity had an immediate effect on the attention of the sample. Physical Education may provide the right direction and needed actions to improve the health of members of any community, society, nation and the world as a whole. An educational system encompassing the mental, emotional, social and physical dimensions of health becomes imperative to bring about all around development in children.

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 Keywords

Yoga, Health, Physical Educations, And Dimensions

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