Volume 10 | Issue 2 |

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Work-From Home, Work-Family Conflict, Work-Life Balance, Teaching Professionals.

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green tea, nutraceuticals, Cardio protection, anti-inflammation

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In order to drive the state of the art technology for Driver's safety, the demand for Artificial Intelligence and Machine learning delicacy approaches are popularly used in ultramodern Classrooms. This paper presents a Driver drowsiness detection architecture that may be placed within the vehicle as a standalone design unit. In this organized deep learning CNN framework, a comprehensive analytics strategy is employed to detect somnolence in automobilists. There are two distinct phases employed in this experimental framework namely image data acquisition followed by identification of the region of interest (ROI) in phase 1. In the coming phase, the deep learning algorithm is employed to classify and prognosticate the result. The object detection training is using the Haar Cascade Classifier which facilitates getting an accurate model. The model is trained by exploiting the open-source tools namely Keras alongside Tensorflow as backend. The hardware design includes Raspberry pi model 4 or 3b, camera, GSM Module, and a speaker. The video capturing, labeling of open or closed eyes and the score are attained as a real-time status with the speaker output to warn the automobilist during sleepiness state. The standalone hardware module is uploaded with the entire training AI software. Real-time image acquisition by the design platform and forecasting the driver drowsiness detection, depicts a delicacy of 95 to 96. The activation function ReLU used during the predicting state in CNN improves the computational effectiveness of the design My SQL model.

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IoT, Raspberry Pi, Camera, GSM Module & Speaker, EOG-BASED DROWSINESS, EEG-BASED DROWSINESS, multitaper PSD

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Diabetes is powerful disease in the world. There are many proposed solutions for solving the problem and find whether a person is having diabetes or not. In this paper, various methods are being proposed on how to find the person is having diabetes using A diabetes dataset by implementing various machine-learning algorithms. A comparison study has been carried out for the machine learning algorithms to verify which algorithm is performing well with better accuracy.

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Prediction, SVM-Algorithm, Decision tree Algorithm, Gradient Boosting Algorithm, Accuracy.

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Abstract The present study was made to investigate the phytochemical screening on leaf extract of Indian Aegle marmelos L. (Bael). The physical parameters determined were pH, total ash, acid soluble ash, acid insoluble ash value, water extract, methanol extract, chloroform extract , petroleum ether extract & UV fluorescence Test. The phytochemical analysis were also performed & the results of phytochemical screening of the aqueous leaves extract revealed the presence of alkaloids, flavonoids, proteins, tannin & Phenolic compound. The different parts of Bael are used for various therapeutic purposes, such as for treatment of asthma, anaemia, fractures, healing of wounds, swollen joints, high blood pressure, jaundice, diarrhoea, controlling diabetes, decoction is given to patient suffering from fever and cold. A dried powdered leaves sample were dissolved in different reagents & observed under UV light and fluorescence were recorded. The FTIR Spectra of total water Extractives and Methanol Extractives & ether extract were also performed. The present study clearly indicates that the compounds like alkaloids, flavones, terpenoids and saponins are the active principles present in the leaves of Beal. The FTIR spectra analysis gives an idea about the different functional groups were present in this sample and it can be isolate and can be use the active components of this natural plant for further drug preparation.

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Key words: water extracts, methanol extract, UV fluorescence, alkaloids, flavonoids, Proteins, tannin

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The current study attempts to analyze The Insolvency and Bankruptcy Code, 2016. It assesses the Insolvency and Bankruptcy Code impacts actions on the corporate restructuring. The research methodology of the current study relied on the internet-based investigation review of the literature. The Code expects to defend the cycles and methods for Bankruptcy and Insolvency, further develop obligation recuperation rates, and increment lender trust in India. Ideally, it should go some method for addressing moneylenders' freedoms to uphold security in a troubled circumstance, possibly cutting down the pace of non-performing advances. The Insolvency and Bankruptcy Code, 2016 accommodates the constitution of another indebtedness controller, i.e., the Insolvency and Bankruptcy Board of India (Board). Its job includes:(i) supervising the working of indebtedness middle people, i.e., bankruptcy experts, proficient indebtedness organizations, and data utilities; and (ii) managing the bankruptcy cycle. Indebtedness and Bankruptcy Board of India (IBBI) will be the administrative body liable for outlining the principles, Code of direct, and enrollment of the above organizations. The study concludes that Insolvency and Bankruptcy Code is regarded as a significant corporate issue of Companies in India irrespective of sector, business goal, and size. This paper will highlight the critical parts of the Code and assess its likely impact on the Indian debt market and an effort to highlight the importance of the Insolvency and Bankruptcy Code as a tool to make better corporate restructuring.

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insolvency and bankruptcy code

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In this study, an in silico molecular docking between the SARS-COV-2 four proteins (a)SARS- COV-2 nucleocapsid protein N-terminal RNA binding domain (6m3m),(b) nsp9 RNA binding protein of SARS COV-2 (6w4b), (c) the crystal structure ofcovid-19 main protease in APO form (6m03), and (d) structure of the 2019-ncov hr2 domain (6lvn)] available in the PDB (protein data bank), and the medicinal plant-based phytochemicals (retrieved from Pub Chem database) as ligand molecules i.e. Piperine (black pepper), eugenol (clove), Alliin (garlic), Gingerol (ginger) and Curcumin (turmeric). All these ligand molecules showed good docking with their respective receptor molecules and their scores range from -8.195 to -5.263. Dockthor with their respective receptor molecules and their scores range from -8.195 to -5.263. Dockthor portal (a receptor ligand- docking server) which was recently developed and published this year was used in the current study. The obtained results might help in the wet lab conditions to develop better antiviral compounds against sars-cov-2.

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Sars-Cov-2, Covid-19, Docking, Phytochemical, Ligand.

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Aim and Objective: Assess the existing knowledge regarding temporary contraceptive methods among primigravida women. Methodology: The study was conducted using Quantitative Research Approach at Krishna Medical Centre. The samples were collected using convenience sampling technique, and Pre experimental research design( one group pre-test post-test design) was used in this study. The conceptual framework utilized in this study was General Systems Theory by Ludwig Von Bertalanffy. A total of 30 samples were selected to be a part of this study. Before conducting the study written consent was obtained from the participants keeping in mind of all the ethics, rules and regulations of the study. The Instrument used had 2 sections in it. The first section consisted of 7 demographic variable questions to obtain a baseline data of every individual participating in the study. And the other half of the section contained 30 structured questions on knowledge regarding temporary contraceptive methods among primigravida women. A pre-test was done to assess their existing knowledge and later an STP was administered to them on temporary contraceptive methods after which a post-test was taken to assess for the effectiveness of my teaching and also to assess their level of knowledge on the same. Result: The result revealed that the Structured teaching programme on temporary contraceptive methods was effective. The researcher observed that initially the primigravida women had inadequate knowledge on the temporary contraceptive methods after which their level of knowledge increased after administration of STP. There was an enhancement of 4 in the mean total. In future, various measures should be taken to improve the knowledge and awareness of temporary contraceptive methods. Discussion: The study concluded that there was a significant enhancement of knowledge among the primigravida women attending antenatal opd after proper administration of STP. Thus the STP was an interactive tool to improve knowledge regarding temporary contraceptive methods.

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Temporary contraceptive methods, Primigravida women, Antenatal OPD, Structured Teaching Programme, Knowledge, Effectiveness.

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As we know that fissure in ano is very pain full anorectal disorders, which is mainly caused by constipation. In today life, constipation is a big problem which is mainly created by faulty diet and life style. If we see in ancient era there was no any disease as like fissure in ano. Although Parikartika is defined in our text which can take same as fissue in ano. Many Ayurvedic Sages defined the Parikartikaas a complication of Panchkarma Therapy (Basti therapy or virechan therapy). But now a days Fissure in ano is described as separate disease. If our younger generation is taking interest as such in flawed Diet (fast food, junk food, spicy food, artificial drinks etc.) and Life style (not performing exercise or Yoga, late night sleep, late morning awake, excess use of smartphone for entertainment, not follow the seasonal regimen, spend more time in toilet and stain during toilet etc.) than there is no such time away when constipation will be count as a separate disease in separate chapter rather than symptoms of anorectal disorders. Constipation is also affected the social and mental status of the person. Ayurveda mainly emphasize on Aahar (Diet) and Vihar (Life style) in each and every disease, which is altered in modern scenario and produces so many anorectal disorders, not only the Anorectal disorders, produces systemic disorders also. So, we can cure the Fissure in Ano (mainly caused by primary cause like constipation) by modification in Diet and life style and also improve the quality of life of patients.

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Keywords: Diet (Aahar), Life style (Vihaar), Constipation, Fissure in ano and quality of life etc.

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These days, the Internet of Things (IoT) network, is progressively turning into an omnipresent availability between various progressed applications, for example, keen urban areas, shrewd homes, savvy frameworks, and numerous others. The arising organization of brilliant gadgets and articles empowers individuals to settle on keen choices through machine to machine (M2M) correspondence. Most true security and IoT-related difficulties are defenseless against different assaults that represent various security and protection challenges. Accordingly, IoT offers productive and successful arrangements. interruption location framework (IDS) is an answer for address security and protection challenges with recognizing diverse IoT assaults. To build up an assault recognition and a steady organization, this present paper's principle objective is to give an exhaustive diagram of existing interruption location framework for IoT climate, network protection dangers challenges, and straightforward issues and concerns are broke down and talked about. In this paper, we propose programming characterized IDS based dispersed cloud design, that gives a protected IoT climate. Experi-mental assessment of proposed engineering shows that it has preferable recognition and exactness over conventional techniques.

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IoT,Security ,IDS

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Creative Commons Attribution 4.0 and The Open Definition