Volume 10 | Issue 6

 Abstract

Background: The calf muscle complex is an important part of locomotor performance and weight loading. It has been found that due to straining the calf muscles, there is an increased risk of calf muscle injury and related foot symptoms. Since calf muscle plays a key role in the biomechanics of foot, tightness in the calf muscle can unevenly distribute the force of body weight load. Static stretching improves ROM, reduces stiffness and reduces the risk of injury from acute strain. Eccentric contraction is the movement of active muscles during contraction under load. Eccentric training has the effect of increasing flexibility for the lower body, helping to increase muscle length. Aim: To Study the comparative Effect of Static stretching and Eccentric Training on the Flexibility of Calf Muscle in Healthy Individuals. Method. 62 participants were selected based on the selection criteria. Participants were briefed about the nature of the study and the intervention. Their informed written consent was taken Prior and after the treatment the outcome measures, Knee to wall test were measured. Participants were randomly divided into two groups with n=31 in each group. Group A received static stretching while group B received Eccentric training. The treatment was given for 6 consecutive days. Results: According to the finding, Eccentric training (Group B) showed significant difference in post mean value as compared to static stretching (group A). there is a significant statistical reliable difference between the pre & post treatment values with p-value is less than the 5% significance level (i.e., 0.001 < 0.05) in the study and therefore it justifies the improvements in health outcome post intervention. Conclusion: This study concluded that use of Eccentric training is more effective than Static stretching to reduce the calf muscle tightness in healthy individuals.

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 Keywords

Knee to wall test, Static stretching, Eccentric training, Calf muscle tightness.

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Electricity is an essential requirement for humans. It is generally used for domestic, industrial and agricultural purposes. Now a days power theft has become a major problem specifically in India. This causes a considerable loss to electricity boards, so this can be prevented by using Smart Energy Meter (SEM). Theft cases are signaled to local authorities through SMS sent by GSM. The present system of energy billing in India is prone to error and also time and labor consuming. This pre-paid meter converts conventional meter reading methods and enables remote access of existing energy meters from energy suppliers. They can also monitor meter readings on a regular basis without having to visit each home by a person.

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 Keywords

Arduino UNO, GSM module, Relay, Theft detection, Prepaid meter

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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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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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Flight schedules and fare rates, passenger reservations and ticket records, and flight data are all contained in the Airline Reservation System. An airline's inventory is often separated into three classes (e.g., First, Business, or Economy), with each category having seats ranging from to, as well as costs and booking requirements. Inventory data is imported and maintained by a Schedule Distribution System, which connects to the Flight Reservation System via a standardized interface. Inventory control is one of the most important aspects of airline reservation inventory management. The price for each sold seat is calculated using the rates and booking criteria provided in the Fare Quote System.

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.NET, Database Connectivity, Database Server, Frameworks.

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Hazard Identification and Risk Assessment (HIRA) is a safety tool used in most jewel manufacturing industries to identify the hazards and assess the risks in the plant. The primary purpose of the HIRA tool is to assess the risks and prioritize the risks to eliminate the hazards in the prioritized order. The assessment of the hazards in the workplace is an important task to evaluate and find out the causes of the accidents. The risk level has been calculated for all hazards in various departments on jewel manufacturing industries by multiplying the values of severity and probability. The identified hazards majorly categorized under physical, chemical, ergonomic hazard, manual handling, health, heat, and electrical hazards. The risk ratings were assigned depending upon the severity of risk occurrence low, medium, and high. This will also lead to finding out the solution for the hazards and to create a safe working place for the employees. This project work overviews the hazards in the workplace, their assessment, and recommendations to reduce the hazards in the workplace.

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Hazard Identification, Risk, Accident, Safety.

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A fire sprinkler framework is a dynamic fire assurance technique, comprising of a water supply framework, giving sufficient weight and stream rate to a water circulation-channeling framework, onto which fire sprinklers are associated. Also it is utilized as a part of processing plants and substantial business structures, frameworks for homes and little structures are presently accessible at a practical cost. Fire sprinkler frameworks are broadly utilized around the world, with more than 40 million sprinkler heads fitted every year. Sprinklers might be required to be introduced by construction standards, or might be prescribed by insurance agencies to decrease potential property losses or business intrusion. Construction standards in the United States for spots of gathering, by and large more than 100 people, and places with overnight dozing convenience, for example, hotels, nursing homes, residences, and hospitals ordinarily require sprinklers under nearby building regulations, as a state of accepting State and Federal financing. In this Project, the aim is to develop a simple Fire Sprinkler, where the sprinkler can betested. The test of the sprinkler is to be by connecting the pipes and the reservoir that contains the water and how the breaking of the chemical tube is happening as if there is a real fire occurring in a building. Further studies will include the calculations of the radius and the area that one sprinkler can handle during a fire case and how many one we have to install in a building to cover the fire as a given flow rate and pressure.

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Fire sprinkler, mechanism & safety prospective

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A simple and efficient algorithm is proposed for solving the economic dispatch problem of power systems with valve point discontinuities employing a particle swarm optimization-based approach. Evolutionary methods such as GA and PSO are known to perform better than conventional gradient-based optimization methods for nonconvex optimization problems. The performance of the proposed method has been compared with Real coded genetic algorithm (RGA) results for validation. The effectiveness of the algorithm has been tested on a test system having three generating units.

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ELD,PSO,Valve point loading effect

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atheism as crime, cat as metaphor of free will, religion as existence, humanism as religion

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User,Event Management, Events, Admin

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This project deals with various types of hazards identification & finding a risk assessment (HIRA) and identifying best safety practices on conveyors including conveyor guarding, hazardous energy isolation and visual inspection procedures for industries that utilize conveyor systems. The safe working operation of conveyors needs to identify the hazards, assess the associated risks and bring the risks to tolerable level on a continuous basis. Each year, physical contact with machines and powered equipment accounts for a significant number of life-altering injuries and fatalities. A number of these incidents involve conveyor systems. The majority of these incidents occur during maintenance activities with conveyors still in operation and danger zones unprotected. A risk assessment is an important step in protecting the conveyors and humans from such conditions. It helps us to focus on the risks that really have the potential to cause harm. Risk classification by probability and severity can be performed by using a risk assessment class. Then risk level is assigned to each hazard for identifying required Preventive measures to minimize the risk or eliminate the Hazard. Preventive measures should be implemented in order for work on or near conveyors to be performed safely. Right from the design stage, worker exposure to hazards should be controlled by reducing the frequency of conveyor clean-ups, conveyor maintenance, removal of jams, etc. This project to best safety practices suggests possible preventive measures, but it is by no means exhaustive. In many situations, hazards must be analysed before any preventive measures are implemented.

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hazards, risk assessment, safety practices, conveyors, safe guards

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Stock market investment which is one of the most complex and difficult and risky business to do. Stock market is very uncertain because the prices of stocks keep fluctuating every time. This paper is based on the demand for stock market price prediction and the problems it faces now a days. We compared and analyzed various types of neural network prediction methods and finally selected LSTM (long short-term memory) neural network for predicting stock price. Historical information is very important to investors for making investment decisions. Past studies have used opening price and closing price as key new predicators of financial markets, but extreme maxima and minima may provide additional information about future price behavior. Its main principle is to discover the role of time series through analyzing the historical information of the stock market, and to deeply explore its internal rules through the selective memory advanced deep learning function of LSTM neural network model, so as to achieve the prediction of stock price trend.

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Stock Price, LSTM, Deep Learning

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