Volume 10 | Issue 7 |

 Abstract

BHARATIY SHIKSHA KA ETIHASIK PARIPREKSHAY V NEW SHIKSHA NITI 2020-EK ADHYAYAN

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BHARATIY SHIKSHA KA ETIHASIK PARIPREKSHAY V NEW SHIKSHA NITI 2020-EK ADHYAYAN

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SWAMI VIVEKANAND KE VICHARO KI SHAIKSHIK EVAN SAMAJIK UPADEYATA

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SWAMI VIVEKANAND KE VICHARO KI SHAIKSHIK EVAN SAMAJIK UPADEYATA

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BAAL GANGADHAR TILAK KA BHARATIY SAMAJ EVAN SHIKSHA MEIN YOGADAN

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BAAL GANGADHAR TILAK KA BHARATIY SAMAJ EVAN SHIKSHA MEIN YOGADAN

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The current study has been undertaken to assess Knowledge score regarding home accidents among mothers of toddlers in Gram Mangliya, Indore. The research design used for study was descriptive in nature. The tool for study was self-structured knowledge questionnaire which consists of 2 parts-PART- I consisted questions related to Socio-demographic data; PART-II consisted of self -structured knowledge questionnaire to assess the knowledge score regarding home accidents among mothers of toddlers. The data was analyzed by using descriptive & inferential statistical methods. The most significant finding was that 73.8% of mothers of toddlers were having poor knowledge regarding home accidents whereas 23.8% had average knowledge score

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Assess, knowledge & home accidents.

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The aim of research is to determine the effect of weight training on explosive power of College Volleyball Players. Thirty six subjects were randomly assigned to three equal groups of 12 subjects and they were Degree College Volleyball Players who were studying in Degree Colleges affiliated to Karnatak University, Dharwad of Karnataka, India. Three groups were assigned into Experimental Group-I (WRE) acted as Weight Training group practicing resistance exercises with own body weight; Experimental Group-II (WRES) acted as Weight Training Group practicing resistance exercises with weights along with specific skills and Group-III (CG) acted as control group. The Pre test scores on explosive power were conducted for all the subjects by administering medicine ball throw in meters. Experimental groups practiced weight training for the period of 12 weeks. The post test mean scores of explosive power were collected after the treatments. ANOVA and ANCOVA were used to determine the significant mean scores for Explosive Power of Arms. By using LSD post hoc test where the obtained F value was found significant. The level of significance was fixed at 0.05 level. It was concluded that both weight training groups developed explosive power of College Volleyball Players. It was concluded that both weight training groups developed explosive power of arms of College Volleyball Players. The weight training practicing resistance exercises with weights and practicing volleyball skills practice was most appropriate for developing explosive power of arms when compared with weight training practicing resistance exercises with own body weight.

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Weight Training, Resistance Exercises, Own Body, Weight, College Volleyball Players

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An artificial pond in which alive aquatic creatures or plants are kept is called an aquarium. Nowadays, aquariums are been considered a part of interior design in houses. Presently, the aquarium is a flourishing industry that is now growing day by day. In the present investigation, a total of 99 species of aquarium fishes from 36 families are has been reported from the different aquarium shops in Mumbai city. The Cichlidae is a dominant family with 22 species respectively. In this study, there are 2 species listed as critically endangered (CR), 2 species listed as endangered (EN), 7 species are vulnerable (VU), 4 species are near threatened (NT) and 45 species are the least concern(LC) categories, according to IUCN red list. Data from 35 species was not evaluated (NE) and data was deficit of 4 species (DD). Out of 99 species, 98 species were exotic and only 1 was indigenous species. Additional data concerning various aspects (e.g., natural environment, native range, common name, and conservation status) was collected from the Life Catalogue, Fish base, the IUCN red list, and scientific literature. In the final conclusion, the aquarium fish area in Mumbai city is practically uncontrolled given the presence of threatened species and species capable of establishing nonindigenous populations, if they are released into the wild.

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Ornamental fish, aquarium trade, Exotic fishes, Threatened species, Mumbai.

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The penetration of renewable energy (RE) sources to meet energy demands and meet de-carbonization targets is growing global concern over power quality. Because of the changing outputs and interface converters, power quality (PQ) disruptions are increasingly prevalent with RE penetration. To provide clean electricity to the consumer, it is necessary to recognize and mitigate PQ disruptions. The strategies for detecting and classifying PQ disturbances in the electrical system with renewable energy penetration are reviewed in this article. The overall goal of this review paper is to present alternative methods for extracting features in order to detect and categorize PQ disturbances in noisy environments. The overall goal of this review paper is to present alternative methods for extracting features in order to detect and categorize PQ disturbances in noisy environments. Several research papers have been critically examined, categorized, and listed for engineers, scientists, and academics working in the field of power quality.

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Artificial intelligence, power quality disturbances, international standards of power quality monitoring, signal processing, renewable energy sources, noise.

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Acharya Nagarjuna University Campus, Avian fauna, Passeriformes, Cuculiform.

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Delivering contemporary energy services to developing countries (DCs) continues to be a difficult task. The traditional energy decisions made by 2.67 billion people, the majority of whom reside in rural parts of DCs, have significant effects on economies, the environment, and human health. Due to a lack of information on energy demand from the necessary load centres, renewable energy resources in rural areas of DCs are largely untapped. This article identifies indicative energy usage information to aid in the creation of creative alternative Energy-related innovations for DCs' rural off-grid regions. Through an analysis of energy demand and consumption, the study a thorough study of the literature on the measured energy needs of rural DCs' households, institutions, productive industries and infrastructure. Different energy requirements are indicated, along with their normal consumption rates. analysed. The findings will encourage additional investigation and aid in the creation and advancement of substitute solutions for energy supply that reduce energy poverty, spur growth, and encourage sustainable energy for all (SE4All).

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Energy Consumption Levels And Technical Approaches For Supporting Development Of Alternative Energy Technologies For Rural Sectors Of Developing Countries

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Recent political events have led to an increase in the popularity and spread of fake news. As the far-reaching effects of the widespread emergence of fake news have shown, humans are fickle, if not downright poor, fake news detectors. With this, efforts were made to automate the fake news detection process. Among the most popular of these attempts is the "listing" of unreliable sources and authors. While these tools are helpful, in order to create a more comprehensive end-to-end solution, we need to consider the more difficult cases where trusted sources and authors publish fake news.The aim of this project was therefore to develop a tool for to recognize the speech patterns that characterize fake and real messages using natural language processing and machine learning techniques. The results of this project demonstrate 's ability machine learning to be useful in this task. We have developed a model that captures many intuitive clues about real and fake news, as well as an application to help visualize the classification decision.

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fake information, social media, faux information, misrepresentations etc.

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