Volume 10 | Issue 11 | November-2022

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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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Archana Tyagi

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Creative Commons Attribution 4.0 and The Open Definition

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Archana Tyagi

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Creative Commons Attribution 4.0 and The Open Definition

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The purpose of this study is to demonstrate how, despite the machine tool industry's recent exponential growth in production capabilities, machine tools are still being used to their full potential. This restriction arises from the failure to operate the machine tools under ideal conditions. For a very long time, researchers and practical engineers have been interested in the subject of determining the ideal operating parameter levels. Metal matrix composites are being used more frequently as industrial materials, however since the reinforcements are so hard and abrasive, MMC is very challenging to machine. The MMC is machined as the reinforcement particles are broken and dragged out of the matrix, which results in decreased product surface quality, tool flank wear, and higher machining costs. Additionally, early tool failure increases production time and costs by necessitating frequent tool changes. This method has been suggested by Litak as a way to test the effectiveness of the ripping machine and as a way to keep track of the condition of the tools. Investigating the effects of various machining process factors was the paper's main goal in order to improve the quality of the machined products. The use of the Grey relation, Desirability function, Genetic Algorithm, and Fuzzy logic for multi-response optimization were found to be widely employed, according to a thorough assessment of the literature on the optimization of machining parameters. As a result, it was also attempted through this research project, and the aforementioned techniques were assessed in order to achieve the goal of choosing the proper process parameters for drilling the Al-SiC MMCs.

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Creative Commons Attribution 4.0 and The Open Definition

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Reinforcement, Machine Tool Industry, Parameters, Optimization Process.

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Creative Commons Attribution 4.0 and The Open Definition

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In the present paper we study that in addition to being in complete agreement with the Universal Declaration of Human Rights of the United Nations, ancient India's human rights also serve as a model for contemporary thought in the region. "Nobody is superior or inferior," states the Rig Veda. All of them are brothers. Working together for the common good and progress should be the goal of everyone. According to Article 15, everyone is entitled to a nationality. According to Article 16, the family is entitled to protection from society and the state because it is the natural and fundamental group unit of society. No one shall be denied the right to alter or lose their nationality at random. In ancient India, the individual also existed as a state citizen with rights and responsibilities. The Vedas proclaim freedom of body (Tan), dwelling house (Skridhi), and life (Jibase), which was the ideal of ancient Indian legal theory. Human rights were thought of and practiced in ancient India, according to the study above. Inscriptions, coins, and contemporary art and architecture all show how human rights have been implicitly expressed in the Bible. The Dharmastras and Grihastra, which define one's relationship with others, society, and the state, and vice versa, outline the Hindu way of life. In addition, they establish certain standards, obligations, and rights. The sixteen samskaras, which contain every contradiction and aberration, govern every Indian's life from birth to death. For instance, the marriage samskara establishes a couple's relationship and defines their rights and responsibilities toward one another and society as a whole. The forfeiture of Istrdhana's marriage-related propriety rights has been accepted by Kautilya, Manu, and others.

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Creative Commons Attribution 4.0 and The Open Definition

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Human Rights, Contemporary, Rig Veda, Progress, Dwelling, Inscriptions

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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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Parable, Allegory, Nuclear Explosion, Brahmastra, Chronicle, Peacocks.

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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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Aalochako ki drushti me kamayani ke stree patra-ek samshya

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Creative Commons Attribution 4.0 and The Open Definition

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Aalochako ki drushti me kamayani ke stree patra-ek samshya

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Creative Commons Attribution 4.0 and The Open Definition

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Nowadays there is a lot of imbalanced data present on the web in several areas like medical, business, insurance, banks, research centers, and so on. All these imbalanced data are creating a lot of gaps for the researchers to gain any new information based on the primitive data. Since the corona virus emerged, it has been increasingly difficult to get legitimate therapeutic resources, such as the scarcity of specialists and healthcare professionals, appropriate equipment and medications, etc. There are many deaths as a result of the medical profession as a whole being in distress. People started taking medications independently without the proper consultation because they weren't readily available, which made their health conditions worse than usual. Recently, machine learning has proven useful in a variety of applications, and creative work for automation is on the rise. The goal of this research is to present a medicine recommendation system that significantly decreases the need for specialists. Because they are doctor-friendly, emerging technologies like machine learning, deep learning, and data mining can help us investigate the history of medicine and lower medical errors. In order to identify the top few medications for a condition, this research suggests a drug recommendation system that uses word2vec sentiment analysis on patient review data

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Drug Recommendation System on Imbalanced Medical Data Using SMOTE

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Background:Lesser number of undergraduate (UG) MBBS students carries the concept of biomedical research. In order to achieve the endeavour of creating globally at par Indian medical graduates, it appears obligatory to introduce research aptitude among UG medical students. More than a decade back, Medical Education Unit of SBKS Medical Institute& Research Centre, SumandeepVidyapeeth, formulated and running a research orientation programme to involve and enrich the UG medical students in biomedical research during their 3rd first professionals . The programme is named as Evidence Generating Community Health Intervention Project(EviGenCHIP). Aims and Objectives:1. To evaluate the impact of EviGenCHIP Programme. 2. To assess research aptitude and research profile of the trained students.3.To appraise feedback from the faculty about the programme. Methodology: This was an observational study conducted at department of Forensic Medicine & Toxicology, SBKSMI&RC in duration of 4 months after approval from Institutional Ethics Committee. A Quantitative & Qualitative study conducted on UG students and teaching faculties trained under EviGenCHIP. Total number of students participated in this study were 100 for quantitative study. 4 batches of focused group, each group comprising of 6 students, i.e. 24 students and one group of 6 faculties were be recruited for qualitative study. Non-randomised sampling method was adopted to recruit the participants in Focused Group Discussion. Observations: This programme does have an impact on most of the students who participated in this programme which is reflected in content analysis of Focus group discussion and Quantitative data analysis. Conclusion: This unique programme is a necessity in formal medical undergraduate education and those students who were interested and are properly mentored reflected positive impact on their research aptitude.

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Community research, UG Medical teaching, Focused Group Discussion, Impact evaluation

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Obese individuals have a high possibility of developing Cardio Vascular Disease (CVD), which should be because of an alteration in the Autonomic Nervous System (ANS) .Heart Rate Variability (HRV) can be utilized to recognize the progressions in ANS movement. An HRV is a device to gauge the ANS action utilizing linear and non- linear HRV features. In this paper, we address the impact of weight on ANS utilizing HRV parameters. At first, two sets of twenty counts are taken; one set contains obesity and one more set is non-obesity regardless of gender, between the ages of 20 to 50. The measurably massive distinction between the two sets was noticed using the Independent t-test. Measurable consequences of the review show the sympathovagal imbalance because of reduced parasympathetic movement. To come up with exact outcomes, we executed deep learning techniques. This paper essentially represents two best profound learning calculations: RNN (Recurrent Neural Network) and LSTM (Long Short-Term Memory). The experimental results show that the LSTM expectation impact is superior to RNN in terms of recognizing CVD.

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Creative Commons Attribution 4.0 and The Open Definition

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Deep learning, RNN, LSTM, CVD, ANS.

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Creative Commons Attribution 4.0 and The Open Definition