Volume 12 | Issue 6 |

 Abstract

The purpose of this study is to investigate the relationship between worker productivity and mental health at the Erode VMC factory. A qualitative method is used. The data collection strategy used structured one-on-one interviews. The interview transcripts were analysed using an inductive narrative technique. The statistics show a high correlation between employee mental health and job performance. Even though it is rarely specified in corporate policies, the poll found that Erode did not make a sufficient effort "in reality and on the ground" to support its employees' mental health requirements. The findings indicate that low levels of mental health in workers can be reduced.

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 Keywords

Cardiovascular disease, Diabetes and Hypertension.

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A crucial oligo-element is fluoride. It is necessary for the growth of the teeth and the bone. Dental caries is caused by insufficient fluoride ingestion. fluorosis brought on by consuming fluoride in food and water. The transformation of the enamel's hydroxylapatite crystals into fluorapatite depends on fluoride. Because of its strength, this fluorapatite resists demineralization by acid. Conversely, consuming more fluoride from drinking water than is considered safe can result in a range of negative side effects, such as skeletal or dental fluorosis. As a result, the ICMR and WHO advised that 1.5 ppm of fluoride be allowed in drinking water. Varanasi district, India, the study of dental, skeletal, and non-skeletal fluorosis in children (6-12 years) was carried out. Using the DEANS classification, the incidence of dental fluorosis in both dentitions and teeth as well as the contribution of drinking water fluoride levels to the etiology of dental fluorosis were evaluated. Using an ion-specific electrode, the fluoride level of the drinking water, blood, and urine was determined (Thermo Scientific Orion Star A329). Drinking water has fluoride concentrations ranging from 0.7 to 15 parts per million. The youngsters from the study villages had serum and urine with fluoride contents that were abnormally high, according to the analysis of the samples. The elevated illness pattern can also be attributed to higher fluoride concentrations in drinking water.

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Fluorosis, Fluoride, Bone, Urine, Water, Blood, Teeth

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In this paper, we propose a proficient brain tumor revealing strategy, that can distinguish tumor and confine it in the cerebrum MRI pictures. This technique draws out the tumor by utilizing K-means technique which after follows Object labeling calculation. For finer outcome, grouping can be done for recognized districts and apply object naming there, additionally some preprocessing steps are utilized for tumor location reason. Towards the end, the preparation and testing will be performed by SVM, SVM discover the examples of this to use in future and examination reason so it will improve the proficiency of framework and tumor location will get simpler undertaking in field of medicine. It is normal that the trial after effects of the proposed strategy will provide better bring about correlation with other existingsystems.

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MRI, SVM, CT, WM, GM, CSF, K means clustering

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Given a point g and a set M in a Normed linear space, a point of M of minimum distance from g is called a best approximation and the problem of determining such a point is called best approximation problem. Our Main aims are then to investigate important example of such problems, with particular regards of - (1) The existence of best approximation. (2) The uniqueness of best approximation. (3) The characterization of best approximation. (4) The construction of method for determining best approximation. It is clear that the existence of a solution to approximation problems requires certain additional conditions to be satisfied. We will not deal with this aspect of the problem to any great extent, but will be concentrated rather on the treatment of problems for which the normed linear space S, set M and point g are assumed given motivation for the use of any particular norm will however, be given where appropriate. The task of characterizing best approximations is that of deriving potentially useful conditions which a best approximation must satisfy, and which, if satisfied guarantee that a particular approximation is indeed a best approximation. The importance of approximation problems have solution which is characterized by conditions which can be used directly as a means of actually calculating such best approximations. The construction of this solution by their means forms an important part of this paper and results are included in algorithms.

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Best approximation, Normed linear space. Existence, uniqueness, characterization.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The advent of connected and autonomous vehicles has significantly expanded the network of electronic control units (ECUs) interconnected via intra-vehicle networks (IVNs) and external connectivity through vehicle-to-everything (V2X) technologies. This expansion, however, has also increased the vehicles' susceptibility to cyber-attacks on both intra-vehicle and external networks. To address these vulnerabilities, researchers have developed intrusion detection systems (IDSs) that utilize machine learning techniques. This paper explores the vulnerabilities within intra-vehicle and external networks and introduces a multitiered hybrid IDS that combines signature-based and anomaly-based methods to identify both known and novel threats

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 Keywords

Hybrid IDS, ECU,IVN,V2X,Cyber Attacks

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Creative Commons Attribution 4.0 and The Open Definition

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Child abuse is a serious public health concern with lasting repercussions that can disrupt the natural course of adolescent development. This article delves into the complex interplay between child abuse and adolescent developmental trajectories. It explores the various types of abuse, their immediate and long-term effects on emotional, social, cognitive, and physical development, and potential moderating factors that can influence these outcomes.

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Child Abuse Adolescent Interplay Developmental Trajectories

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In recent years, increasing evidence suggests that commensal microbiota may play an important role not only in health but also in disease including cerebrovascular disease. Gut microbes impact physiology, at least in part, by metabolizing dietary factors and host-derived substrates and then generating active compounds including toxins. The purpose of this current review is to highlight the complex interplay between microbiota, and their metabolites. and essential functions for human health, ranging from regulation of the metabolism and the immune system to modulation of brain development and function. We discuss the role of gut dysbiosis in cerebrovascular disease, specifically in acute and chronic stroke phases, and the possible implication of intestinal microbiota in post-stroke cognitive impairment and dementia, and we identify potential therapeutic opportunities for targeting microbiota in this context.

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Dementia, gut, microbiota, post-stroke cognitive impairment, stroke

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT Vegetables can add to the change of our food frameworks towards more healthy edibles and at the same time generating value and employment. By producing vegetables of different kinds the small and marginal farmers are gaining considerable income in the entire year. After China, India is the second largest producer of fruits and vegetables in the world. The Agricultural economy of India is majorly driven through the dominant sector of horticulture. There is nearly 33percent growth increase in its percentage of share. The present study focuses on reviewing the different value chains of vegetables in the state of Punjab in India with the objective of identifying various value chain actors and their respective roles, the value chain map of the value chain intermediaries. Secondary data has been used for the completion of the objectives of the study. The entire data will be collected through evaluation of numerous research articles abstracts, finding and concluding results for the scanning of vegetables value chain literature. This review study focuses on the complete picture of existing constraints, challenges, and opportunities, factors affecting vegetables value chains, different market channels, market margins, various inefficiencies in the value chain, and value addition in each stage of the value chain and marketing efficiencies of the various market channels as well as individual share of every value chain actor of diverse food value chains.

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 Keywords

Value chain intermediaries, Market channels, Market efficiency, Marketing cost, Marketing margins.

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In the beginning, the Meitei were a vibrant people who thought that all natural objects held a soul substance or life force. This theoretical perception gives rise to the widespread animistic conviction that all things, whether big and little, are alive with spirits or souls. In keeping with this animistic idea, nature's totemism are elevated to the status of guardian spirits, while goblins- a supernatural belief in nature's malevolent intent- also emerge from a fear of the enigmatic events that give rise to stories. The concept of the distinct soul, which originated from visions and dreams and was then attributed to godhead, may have contributed to the creation of various deities, such as those worshipped in totemic or fetishistic contexts or through idolatry. In an effort to satiate the two natural desires that are ingrained in every human being- the need to "know" and "to worship"- they then pursue matter, force, and thought to their highest potential.

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Totemism, Umanglai, Saroi-ngaroi, Hingchabi, Meitei, Tinmu-Laimu, Helloi, Cheiraoba

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Creative Commons Attribution 4.0 and The Open Definition

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Machine learning has not only completely changed the technology and industries nowadays but also made vast changes in the healthcare industry. It helps predict diseases accurately and quickly. When we can predict many diseases at once, it helps doctors in early detection of any disease and treat them better. This saves money and helps patients get better faster. This research paper talks about how we use machine learning to predict diseases. It looks at how good it is, what problems we face, and what we can do in the future. We talk about different types of machine learning and where we get the data from. We also talked about picking the right things to look at, checking our predictions accuracy, and using data integration from various sources. Our research shows that machine learning can help predict many diseases at once. This could make a big difference in public health.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data Integration, Early Detection, Healthcare Industry, Machine Learning, Predict diseases

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Creative Commons Attribution 4.0 and The Open Definition