Volume 10 | Issue 6

 Abstract

One of the most important industries in our society, agriculture seems to be where we have focused our attention since the Middle Ages. In India, the agricultural industry supports between 60 and 70 percent of the population. Globally, crop losses caused by a variety of factors, including weeds, diseases, and arthropods, have increased at an alarming rate, from around 34.9% in 1965 to over 42.1 percent in the late 1990s. Bacteria and fungi frequently cause illnesses in tomato plant life. Early blight and late blight are fungus diseases that affect plants. In our research, a CNN model and a set of guidelines are presented for identifying such illnesses on crop leaves. The model we developed is taught to look at and comprehend a diseased leaf before identifying the cause of the ailment. We are using InceptionV3 in our work to identify tomato leaf diseases. The proposed model is effective on the PlantVillage Dataset.

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Convolutional neural network, Deep Learning, Inception V3, Tomato Leaf Disease, Transfer Learning, PlantVillage.

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 Abstract

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ecg

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Back Pain is a common and serious musculoskeletal problem prevalent in developed and developing countries.It affects the daily routine of majority of the population.Back pain means pain in the upper or lower back which radiates towards legs.If not treating properly it leads to further complication..Back pain is a very common symptom and the cause may be both specific or non specific. Gentle strengthening exercises for stomach, back, and legs are good for acute pain. It decrease back pain, help to recover faster, prevent injury to back, and reduce the risk of disability from back pain. Acharya Technique for back pain is not complicated and can be done at home without any special equipment

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Acharya Technique , Back Pain

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Small businesses represent the driving force of an economy. They are the key that enables the production and marketing of thousands of products and services thus becoming the basis for a sound economic development. Consequently, small businesses are of vital importance to the economy. Small business is a generator of innovation and a source of new jobs. The trend shows that small businesses are the backbone of all developments and movements in the economic system. The small business scope is present in almost every pore of social and economic life. According to the Statistical Register for Businesses, there are 9,358 micro-enterprises, 55 small enterprises, 7 medium-sized enterprises and 1 large enterprise. According to size, enterprises in Kosovo are classified into micro-enterprises when they have 1 to 9 employees, small enterprises with 10 to 49 employees, medium enterprises 50 to 249 employees) and large enterprises with over 250 employees. Approximately 99% of businesses in Kosovo are registered as small businesses. For any business the main purpose of existence is to make a profit. Businesses are constantly trying to compete or adapt to fierce competition. Due to the fact that small businesses are much more fragile and sensitive to movements and trends from the macro environment for that reason also the chances of failure are much greater. Small businesses therefore require good management in order to be successful in their struggle for survival. The management of small enterprises differs from country to country due to many factors, starting from the legal framework, economic system, competitiveness, economic development, stage of economic development, etc. Accordingly, the management of small business requires an extremely large flexibility, which will adapt to economic flows and the trend of moving towards higher results and profits. Exactly the topic of this research will be the management of small enterprises in the Republic of Kosovo, showing it with all its specifics. What are its strengths and weaknesses and how much the management and management of small business has an impact on the performance of small business in Kosovo will be analyzed and discovered during this research period.

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Economy,Finace,Acconting,Audit, business.

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 Abstract

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Natural Language Processing, Artificial Intelligence, Knowledge base, Naive Base, Disease prediction.

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 Abstract

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Fact, petrification of mind, Fancy, religious bigotry, Industrial Revolution.

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Data Mining, Machine Learning, Credit Card Fraud Transactions, classification

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Social change is the common factor. It flourishes the pace of cultural changes in the society. Mobility in Indian society plays a pivotal role in Socio-cultural changes. Family, marriage, kinship, religion, tradition, norms etc are day to day going through a structural variation. Social process has played well to rectify in several aspects of the society. In this context, Socio-cultural changes have influenced the Indian society regularily.

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Conflict, social pattern, racial theory,social process, linear change, culturation, norms, social values.

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Heart diseases are one of the deadly but are silent killers for humans, which results in the increase in death rate of sufferers every year. The World Health Organization (WHO), in the year 2021, reported that 20.5 million deaths that occur worldwide per year are a result of heart disease. Early prediction of heart disease helps in improving the health of patients with corrective measures. Machine learning (ML) based data-driven approaches are found to be viable alternatives. However, such machine learning algorithms suffer from data redundancy and the presence of irrelevant features. This has led to the deterioration of performance in disease prediction when ML approaches are used Decision tree,Naive-Bayes,Logistic regression, SVM, Bagging, Gradient-Boosting, KNN. An empirical study is made with the Cleveland dataset collected from KAGGLE.

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Decision tree,Naive-Bayes,Logistic regression, SVM, Bagging, Gradient-Boosting, KNN

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Science faculty expanded the general objectives of science education to include the development of a scientific mindset. The term "scientific attitude" refers to the traits of intellectual curiosity, fervour for the truth, reverence for the veracity of evidence, and admiration for the value of open discourse in science. The questionnaire was created for instructors to get their opinions on how science teachers might encourage secondary school pupils to have a scientific attitude. The SPSS application was used to evaluate the data using various statistical techniques, including mean, standard deviation, t-test, and F-test (ANOVA). Finally the researcher concluded that there is a significant difference among the perceptions of teachers according to their demographic variables i.e., Teaching Experience, School Management and Locality of the School towards Role of Science Teachers in Developing Scientific Attitudes among Secondary School Students in Visakhapatnam District.

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Science, scientific attitude, Teaching Experience, School Management and Locality

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Electrodeposition is a process of controlled deposition of materials on conducting surfaces by passing electric current through a solution containing ionic species. Unlike the traditional pure metal coating, electroplating is a cost-effective and an efficient method used for preparation of alloy coatings. Electrolyte deposited alloys can possess certain unique advantageous properties which cannot be found in the coating of any pure metal. There are certain metals that can be deposited only in their alloy form. Molybdenum, Tungsten and Germanium are such examples where they can only be coated by electrodeposition. Electrodeposition of Molybdenum alloy produces hard and protective surface coatings which encourage us to electrodeposit Zn-Mn-Mo ternary alloy from citrate bath and studied the effect of various parameters on the alloy. This paper is a detailed analysis of the effects of pH and temperature on electrodeposition of Zn-Mn-Mo alloy in a citrate bath containing solution of ions.

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Keywords: Electrodeposition, alloys, temperature, pH.

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In recent years, network-based cyber security attacks have increased in both frequency and intensity, yielding traditional defense practices. as an example, a mediumsized commercial data center network may experience over 100,000 security events per day. These attacks is triggered by a good range of poor performers, from individual hackers to cyber gangs, inciting large organized groups with political or economic motives to cause social disruption. The development of the web of Things has seen data sharing in the concert of the foremost useful applications in cloud computing. As more this technology has become noticeable, data security is one of the bottlenecks as there are many disadvantages because of misuse of knowledge. during this article, we describe a replacement thanks to secure services by adding a port whitelist to the port white list, and constantly changing the assignment of services on a port. It aims to cut back the danger of port scanning and unauthorized intrusion attempts and to shield a community of known users from losing data. In short, the port number, time, and IP address are used as a part of the access system; It divides traffic in order that content-based restrictions are often more practical. It also provides connection-based security wrappers for services that are prone to software exploitation, like buffer overruns and backdoors.

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Cloud Computing, Security Metrics, Security Threats, Security Measurement Frameworks

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BACKGROUND: In industrialized countries, occupational asthma (OA) is the most frequent lung condition. Textile workers are more likely to be exposed to cotton dust, which has a variety of systemic and pulmonary consequences. Asthma affects workers' capacity to work, as well as their overall health and well-being, limiting both their work and daily lives. As a result, early detection and diagnosis of Work-Related Asthma is critical for minimizing the burden and morbidity of the disease, as well as improving employees' Quality of Life in the cotton textile industry. AIM: To screen Occupational Asthma among Cotton textile industry workers and to determinehow it affects their work ability and Quality of life. METHOD: This study included both male and female cotton textile industry workers who had worked in the spinning and weaving areas of the mill for at least one year and was between theages of 19 and 59. Subjects were screened according to their PEAK EXPIRATORY FLOW METER values. Subjects with score on PEFM, Males <450 lit/min, Females<320 lit/min were determined & further assessed using Asthma Screening Questionnaire (ASQ) and their scoreswere noted. Subject who scored (>=4) on ASQ (n=101) were determined & were given AQ-20sheets to fill, values obtained from it was used to check Quality Of Life of the workers. RESULT: Among the 245 workers, 101 workers had risk of having Occupational Asthma andhad average difficulty in performing their daily activity. The correlation coefficient r-value of 0.981 for ASQ and AQ20 was statistically significant at the 5% level with linear connection 0.001 is the p value. CONCLUSION-This study concludes that, there is strong correlation of occupational asthma with quality of life among cotton textile industry workers of Miraj taluka.

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KEYWORD: Occupational Asthma (OA), Quality of Life (QOL) , Cotton dust , Peak Expiratory Flow Meter (PEFM), Asthma Screening Questionnaire(ASQ), Airways Questionnaire-20(AQ-20).

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IMC mergers various promotional tools and communication/marketing/advertising services and techniques to maximize profit. IMC is ultimately achieved through concise and reliable messaging that fosters familiarity and consumer affinity. In the this research study, Descriptive research is followed. Descriptive research is usually a fact-finding view generalizing a cross - sectional study of current situation. The main goal of descriptive research is to describe any particular event, phenomenon and situations on the basis of observations. Survey for research work was conducted in the Anand city for keeping in mind that online marketing is still a metropolitan phenomenon in the developing country like India. Sample of 200 respondents was selected for survey.

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Marketing communications, advertising, online marketing

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The media being the fourth pillar of the society can be deemed as the basic sense organs of the society. The media can even turn to be the most powerful weapon for the powerless downtrodden. The media can become omnipotent and save millions by its direct interference into the facts without any undue pressure from any government or political bodies. It can throw light by directing the society to move towards the truth. The media can be deemed as a double-edged weapon if it can be properly used for judicious purposes by the society to remind that the governments are meant to protect the laws at any cost. The same media if not properly used or misused for personal reasons can lead to ambiguity in the minds of the whole society by distorting the facts. The study focuses on the role, impact and need of regulation of Media.

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Media, Freedom, TRP, Investigative Journalism, Censor.

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Alzheimer's disease (AD), a sad frontal cortex disorder, cripples thinking and memory while the all out cerebrum size contracts which at long last prompts end. Alzheimer's is a neurodegenerative disease and prompts outrageous mental deterioration and feebleness to adjust to everyday presence endeavors. Early finding of AD is basic for the progression of extra dominating meds. Recognizing Alzheimer's is an irksome and monotonous task, but requires frontal cortex imaging report and human dominance. Clearly, this standard method for managing perceive Alzheimer's is costly and as often as possible slip-up slanted. In this endeavor an elective philosophy has been discussed, that is fast, costs less and more strong. Computer based intelligence structures can help with giving bettering clinical benefits and clinical plans. The display of human examination corrupts in light of depletion, mental inclinations, systems issues, and interferences. In any case, AI based finding systems are less error slanted and give safe assistance to clinicians in acknowledgment and route. This work presents a smart and reliable way to deal with diagnosing Alzheimer's disorder (AD) and its possible starting stage i.e., delicate mental impediment. The presented framework relies upon AI and recognizes Alzheimer's and its basic stages definitively from essential MRI checks. Recognizing delicate mental obstacle (MCI) subjects who will progress to Alzheimer's disease isn't only essential in clinical practice, yet moreover has a basic potential to work on clinical fundamentals. This errand proposes to combine MRI data with a neuropsychological test, Mini-Mental State Examination (MMSE), as commitment to a diverse space for the gathering of Alzheimer's Disease (AD) and its prodromal stages.

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cerebrum sickness, neurodegenerative, predominant, mental hindrance

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This study has been undertaken to create a new braking system that is automatic and requires less human attention. Most accidents happen due to the delay of the driver to apply the brake, so in this project, we develop a model which uses a brake depending on the obstacle sensed by sensed and speed of the bike. In this, we used an ultrasonic sensor to detect the obstacle. The proximity sensor gives the speed of the vehicle.

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Ultrasonic sensor, proximity sensor, IoT, Wi-Fi model, obstacle.

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Placement, Alumni, authentication, react.js, node.js, Firebase

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Abstract: This study has been undertaken to examine the health status of Yerava tribal women in Kodagu District. Women's health and well-being need special care because their health is largely influenced by socioeconomic factors such as low income, lack of proper education, and early marriages. The objective is to examine the health status of Yerava women. The present paper attempts to examine the age of marriage, general sickness, communicable diseases, type of treatment, contraceptive use and transport facilities. The data was collected by Abstract: This study has been undertaken to examine the health status of Yerava tribal women in Kodagu District. Women's health and well-being need special care because their health is largely influenced by socioeconomic factors such as low income, lack of proper education, and early marriages. The objective is to examine the health status of Yerava women. The present paper attempts to examine the age of marriage, general sickness, communicable diseases, type of treatment, contraceptive use and transport facilities. The data was collected by structured interview schedule. Studies reveals that there was low prevalence of communicable diseases, but have general sickness such as fever, cold, headache, backache, allergy, stomach ache, gastritis and anaemic.structured interview schedule. Studies reveals that there was low prevalence of communicable diseases, but have general sickness such as fever, cold, headache, backache, allergy, stomach acgastritis and anaemic.

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Women, Health Status, Yerava, Communicable.

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The spectral graph theory studies the properties of graphs via the eigenvalues and eigenvectors of their associated graph matrices: the adjacency matrix and the graph Laplacian and its variants. Both matrices have been extremely well studied from an algebraic point of view. Using Turbo C++, we also have coded in C++ programming language and executed the Laplacian Matrix. The Laplacian allows a natural link between discrete representations, such as graphs, and continuous representations, such as vector spaces and manifolds. Given a complete undirected graph G with n vertices, its Laplacian of a diagonal matrix Lnxn is defined as L= D-A, Where A is the adjacency matrix of the graph and D is the diagonal matrix of A.

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Complete graph, Laplacian matrix, adjacency matrix, diagonal matrix, coding and C++.

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