Volume 10 | Issue 6 |

 Abstract

Aim To find out impact of video assisted teaching on psychosomatic problems related to problematic internet use among adolescents in selected senior secondary schools. Methodology Methodology: The sample size taken for the study was 480 with selected senior secondary school by non randomized convenient sampling technique. Sample was divided in to two groups; one is experimental and second is control group. The experimental group was treated by video assisted teaching whereas control group was not treated by any intervention. A standard semi structured questionnaire and a rating scale was used to assess the psychosomatic problems related to problematic internet use among adolescents. Data were analyzed with the help of SPSS 16.0 software. Results: In experimental group the mean pre-test problematic internet use score is 55.200 and mean post-test problematic internet use score is 43.366. The estimated paired't value was (1.199), which is significant at p<0.05. This reduction is statistically significant. The mean pre-test Depression related to problematic internet use score is 22.116 and mean post-test Depression related to problematic internet use score is 14.933. The estimated paired't value was (19.505), which is significant at p<0.05. The mean pre-test Anxiety related to problematic internet use score is 20.633and mean post-test Anxiety related to problematic internet use score is 10.766. The estimated paired't value was (18.509), which is significant at p<0.05. The mean pre-test Stress related to problematic internet use score is 20.550 and mean post-test Stress related to problematic internet use score is 15.766. The estimated paired't value was (14.284), which is significant at p<0.05. The mean pre-test Somatic problems related to problematic internet use score is 10.000 and mean post-test Somatic problems related to problematic internet use score is 7.733. The estimated paired't value was (12.632), which is significant at p<0.05 in experimental group. In control group the mean pre-test problematic internet use score is 52.425and mean post-test problematic internet use score is 55.383. The estimated paired't value was (1.882), which is not significant at p<0.05. But we can see that in experimental group the reduction is of 11.834 points which is higher than the reduction score (-2.958) of control group . The mean pre-test Depression related to problematic internet use score is 21.716 and mean post-test Depression related to problematic internet use score is 21.100. The estimated paired't value was (4.428), which is significant at p<0.05. The mean pre-test Anxiety related to problematic internet use score is 20.350 and mean post-test Anxiety related to problematic internet use score is 19.400. The estimated paired't value was (4.558), which is significant at p<0.05. The mean pre-test Stress related to problematic internet use score is 20.566and mean post-test Stress related to problematic internet use score is 20.166. The estimated paired't value was (4.478), which is significant at p<0.05. The mean pre-test Somatic problems related to problematic internet use score is 10.066 and mean post-test Somatic problems related to problematic internet use score is 9.683. The estimated paired't value was (4.834), which is significant at p<0.05 in control group. Conclusion: It is concluded that adolescents with psychosomatic problems related to problematic internet use show better improvement in their level of psychosomatic problems related to problematic internet use after administration of video assisted teaching compare to non administration of any intervention.

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Impact, video assisted teaching. Psychosomatic problems, problematic internet use etc.

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TEACHER PARENT RELATION MAPNI KA NIRMAN EVM MANKIKARAN

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Data technology has additionally converted the manner college students engage with instructors and compare their overall performance. Teachers can use statistics to investigate the comments they get from college students and use it to enhance their own Teaching. Data technology may be used to create predictive fashions that could expect pupil dropout rates. Primarily based totally on their overall performance and tell the teachers to take the important precautions. For schools, IBM Analytics has developed a project to evaluate students' performance depending on their performance. Universities are using data to avoid retention to supplement the performance of their students. The University of Florida, for example, uses IBM Cognos Analytics to monitor student progress and make appropriate projections. MOOCs and online education platforms also use data science to track recipients, automate assignment scoring, and improve courses based on student feedback.

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Data technology, Statistics, IBM Analytics, data science, MOOCs, automate assignment scoring.

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Plants are estimated that about 80% of the population in the world depends on traditional medicines. Various countries including India, China, Thailand, and Shri Lanka use many plants as traditional medicine use to treat various diseases. Plants are the fundamental source of knowledge in current medical research. There are various medicinal plants all over the world. A practically whole part of the plant specifically leaves, flowers, fruits, roots, stem, and seeds are studied to have several medicinal properties. The current trend of using natural products has increased and active plant extracts are commonly screened for the determination of new drugs.[1] The medicinal plants mostly find the approach applied in the pharmaceutical cosmetics industry, agricultural, and food industries. Herbal drugs are advised generally because of their effectiveness, fewer side effects, and relatively low cost. Ayurveda nowadays utilizes as many as 1000 single drugs and over 8000 compound formulations recognized merit[.2]

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Antibiotic, fibroblasts, stench,Ayurveda

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: Smart home is an advanced technology that makes the lives of people smart. The devices present in the home are made smart using the technologies like Internet of Things, Machine Learning, Big data, cloud computing and others. There is a necessity to control the home and the appliances present in the home remotely when people are not present. This can be achieved using the applications. The detection of hazards in the kitchen like fire can be detected using the sensors and people can be alerted. The water level in the tank can be monitored and the supply can be cut down upon water exceeding the certain level in the tank. Similarly, switching off the unnecessary lights and other tasks that require the humans to be involved can be automated using the technology. As people cannot always be involved in conserving energy, technology can be used at its best to conserve energy.

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Internet of Things (IoT), Smart House, Node MCU, Arduino, FLIP architecture, microcontroller, sensors, android application, web application, monitor, control.

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Future sales forecasting is a crucial component of every organisation. Accurate prediction of future sales help companies to develop and improve business strategies as well as to gain proper market knowledge. Standard sales projections let companies analyse historical scenarios and then apply client purchases. Before budgeting, inferences are used to detect shortfalls and weaknesses, as well as to construct a good strategy for the following year. A detailed knowledge of past opportunities permits one to plan for future market needs and increase the possibility of success

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Linear Regression, Decision Tree, XG Boost, Random Forest,Architecture, Usecase .

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Big data is a large amount of information that can do wonders. Big data has become popular for the past couple of decades because of its great potential. Every industry generate, manage, store, and analyze big data to improve their profit by implementing better decisions. The sources of big data in the healthcare industry include medical records of patients, hospital records, reports of medical examinations, and medical device results. These data can be maintained and analyzed properly to get the meaningful information needed to improve the health care system. This paper gives a review on big data technologies, big data analytics, its implementation, and challenges in making a smart healthcare system.

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Big data, Big data analytics, Healthcare, Big data Technology, Apache Hadoop, Stream Processing

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Morus alba, a well-known medicinal plant in the Moraceae family, has long been employed in Ayurvedic and other traditional medical systems.The review demonstrates a wide range of essential Pharmacological actions, including antidiabetic, antibacterial, antioxidant, antistress properties.The plant contains carotene, vitamin B1, folic acid, folinic acid, isoquercetin, quercetin, tannins, flavonoids, and saponins, as well as ascorbic acid, of which over 90% is present in a reduced form. These issues are being treated with a variety of ancient and modern therapeutic treatments. One example is the use of natural remedies. The purpose of this study was to see how the mulberry is the medicinal miracle.

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Mulberry, Morus alba, Flavonoids, Moraceae, Antioxidant, Anti-cancer.

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Power quality disturbances lead to severe problems in industries and electrical grids. To mitigate PQ problems, the accurate detection and classification of the possible disturbances are essential. A large number of studies exist in this field. The first research step in these studies is to obtain several distorted signals to test the classification systems. In this regard, the most common trend is the generation of signals from mathematical models. In the literature, several models with significant differences are available. However, there is no integral model that considers all types of distortions. In this dissertation work, an integral mathematical model of power quality disturbances will be developed based on the models available in the literature. The model will include new types of combined disturbances. Almost all types of power quality disturbances will be considered under study. Further, this integral mathematical model of various power quality disturbances will be implemented for the generation of power quality disturbances using MATLAB environment. By using this model various power quality disturbances will be generated in a fast and automatic way. This model aims to facilitate future studies, supporting researchers in the modelling stage.

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Integral Mathematical Model, Power Quality

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Creative Commons Attribution 4.0 and The Open Definition