Volume 11 | Issue 1

 Abstract

The yellow metal is all time favorite for everyone from the history to till date. Most of the exchange of commodities will happen through this yellow metal or gold. Any country economics is evaluated by the gold available in the reserve bank and even the common man keeps the gold as security purpose and uses as a ornament. The high demand of gold across the global made the gold rate changes very frequently. To invest in the gold the common man or any organizations need to check for its low value and then invest. The predication of gold rate depends on various attribute. This review paper gives a peek into the various predication methods its advantages and limitations which can be used by any one before investing. The data science and machine learning approaches to anticipate the price of gold. We review historical gold price data and create and assess forecasting models using this data. We examine the information to find significant patterns and correlations that can be utilized to forecast gold prices in the future. We assess different machine learning models' reliability and accuracy in predicting gold prices. We outline the findings of our model evaluation and go over the implications for predicting gold prices. Finally, we evaluate our study's shortcomings and make suggestions for further research.

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Gold ETF, Linear Regression, Price Prediction, Machine Learning, Supervised Learning.

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Abstract: In this paper, the data will be analyzed and discussed through literature survey, combined with the questionnaire and interview of all primary school teachers in Shuangyi. In order to get the problems and solutions of rural primary school teachers' motivation at a certain level. This paper discusses the two factor theory, Maslow's hierarchy of needs theory, etc., and makes a preliminary study on the evaluation of the incentive policy for rural primary school teachers in the study area, the extent of the implementation of the incentive policy, the challenges encountered, and the solutions to the problems. after analysis, the corresponding plans are proposed mainly from the aspects of the implementation of incentive policies, increasing salaries, increasing allowances for working primary school teachers in remote areas, strengthening teacher training, optimizing career planning channels, etc., so as to improve the work enthusiasm of rural primary school teachers and improve teaching quality.

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rural primary school teachers; excitation; Evaluation and analysis; Optimize incentives

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Advancement in technology has led to the sequencing of a vast number of genomic data. The genome sequencing process has gone through three main generations, and each generation improves tremendously on its predecessor. Quite recently, the human genome has also been successfully sequenced. Varied sequencing platforms have emanated through this technological advancement. Each platform uses a different sequencing procedure. This has led to the introduction of errors into sequenced data. These errors compromise the quality of the sequenced data and any inferences made about them. Many efforts and techniques have been used to try and correct sequencing errors. The problem persists mainly because either the action or approach is too complex to execute, thus requiring a high level of computational resources. We identified the error correction process as a pattern recognition problem and proposed a classification (machine learning) approach to solving the sequencing error correction problem. This involves using a deep convolutional neural network that is gentle on computational resources and very fast at correcting insertion and deletion errors. Our system is tested using the genome data NA12878, which was obtained from the NCBI, and it achieved 99.5% classification accuracy

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sequencing, genome, generation, errors, technological advancement, pattern recognition, machine learning

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Key words: News portals, uses and gratification, influence and its impact, readership/ viewership patterns.

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Herbal face Pack, Natural, Cosmetics, Skin, Ingredients, etc.

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Microcontroller, Password, Lineman Saftey, Circuit Breaker, Security.

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Children, especially younger ones, typically remember their past experiences during medical visits. This fear may be heightened when the child finds themselves in the same environment of a treatment room surrounded by unfamiliar people and facing a possibly painful experience. Loss of autonomy and control may cause the young child a great deal of anxiety. Cartoon video based diversional therapy may help to reduce children pain and behavioral responses. This kind of diversion distracts the child during painful injection procedures , which modifies the pain and behavioral responses in children.

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Keywords : Swachh Bharat Mission , Cleanliness , ODF , Sanitation , Solid Waste Management

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Odissi, Music, Antiquity, Dance, Song, Utkal, Gamak, Kalinga, Raga, Saint Poets, Lord Jagannath, Geeta Gobinda, Ingredients.

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An adverse drug reaction (ADR) is a harmful and unforeseen response to a medication. ADRs drive up healthcare expenses and are a major contributor to morbidity and mortality. Adverse drug reactions (ADRs) continue to be a prevalent and serious issue in healthcare. Given the escalating complexity of treatments, the ageing population, and the rise in multimorbidity, adverse drug reactions (ADRs) continue to remain a challenge in contemporary healthcare. A suspected adverse drug reaction can be linked to a specific time, sickness pattern, investigational findings, and re-exposure. If at all possible, management include drug withdrawal as well as targeted therapy for any side effects. It is important to report suspected adverse drug reactions. In addition to examining issues related to their prevention, diagnosis, reporting, and management in current clinical practice, this article summarizes some of the most important information about ADRs.

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Adverse drug reactions , clinical pharmacology , drug-related side effects and adverse reactions , pharmacovigilance , adverse drug reaction reporting systems.

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The present study was aimed at critical analysis of the constraints and prospects of elementary education in rural Western Odisha. This study was delimited to the students, the parents, the teachers and the headmasters of the rural schools of Western Odisha only . For this study, descriptive survey method was employed. The study analyzed the data for. a sum total of 720 students , 600 parents ,180 Headmasters have been selected. Also, A total No. of 20 experts who are working for the cause of elementary education have been included under the present study on the basis of purposive random sampling. In order to collect the data in the present study, the investigator used the Self-made Questionnaires for Headmasters, Interview schedules for Parents as well as Students and Questionnaires for experts . Data has been analysed with the help of simple percentage, tabulation and graphical representation. Finally, it was found that ,More than 80 percent headmasters parents and experts suggested that monitoring and supervision of all activities in schools should be done regularly. Also, More than 90 percent headmasters, students, parents and experts suggested that all primary school should be equipped with basic facilities like water, toilet, playground play materials, all weather roads. The school timing, holidays and vacation should be arranged as per the local needs.

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Elementary Education, Rural Areas, Western Orissa , Constraints, Prospect

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ABSTRACT Background and Objectives Colostrum is the deep lemon colour liquid secreted by the breast for the first several post-partum days. Compared with mature milk, colostrum contains more minerals and protein, but less sugar and fat. Antibodies are demonstrable in colostrum; immunoglobulin A may protect the newborn against enteric pathogens. Other host resistant factors, including complement, macrophages, lymphocytes, lactoferrins, lactoperoxidase and lysosomes are in human colostrum and milk. Objectives 1. To assess the knowledge regarding importance of feeding colostrum to new born babies among the Primigravida Mothers. 2. To evaluate the effectiveness of Structured Teaching Programme on the importance of feeding Colostrum to new born babies. 3. To find out the association between the Pre-test knowledge scores with their selected Socio-demographic variables. Methods The research design used for the present study was Pre-Experimental One Group Pre-Test Post- Test design. By using Random Sampling Technique, 60 Primigravida Mothers were recruited for the study. The level of knowledge was assessed using the Structured Knowledge Questionnaire Tool. After the assessment, Structured Teaching Programme was administered to Primigravida Mothers. Post-test assessment was performed on the 8th day with the same tool. The results were described by using Descriptive and Inferential Statistics. Results In the process of data collection, 61.7% had Inadequate knowledge and 38.3% had moderate knowledge in the pre-test, in the post-test 36.7% had Moderate knowledge and 63.3% had Adequate knowledge regarding the importance of feeding colostrum to new born babies. Interpretation and Conclusion The study shows that structured teaching programme is found to be effective in increasing the knowledge among Primigravida Mothers regarding importance of colostrum feeding.

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Effectiveness, structured teaching programme, importance, colostrum, primigravida mothers.

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Emotional Intelligence, student, people, stress,College

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Big data has played a significant influence in practically every domain. Big data in healthcare also covers the collection of patient and clinical records. It is very large or challenging to comprehend using conventional data processing methods. Large data management has a number of challenges for improved service quality, the most important of which are big data privacy and security. The interchange of personal health information by the healthcare enterprise is a key barrier to system interoperability and patient access to medical records. The decentralized nature and security of blockchain technology provide big data services a great chance to grow. Systems built on the block chain have the potential to reduce or eliminate the costs and friction associated with present middlemen. Block chain technologies offer numerous prospects for health care, but they must grow further. It is explored how to handle and share individual patient records with other institutional data. There is an introduction to block chain and big data, as well as information on the drivers pushing their integration and a study of blockchain services for big data in the health industry. Various broad topics have described how blockchain technology has aided healthcare systems. This provides a clear depiction of the issues that may arise while combining blockchain with healthcare big data.

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Block chain, Big data, Health care, IoT, Security, Privacy

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Haryana State is largely agriculture based state; most of its population live in villages. The rural Haryana combined with strong patriarchal leanings make the status of women in rural Haryana precarious. Rural women in Haryana, as in other parts of India, suffer from variety of disadvantages. Foremost among them is lack of education among women. Another is its skewed sex ratio. The number of women per one thousand men in Haryana is among the lowest in India. Hence we need to empower women in rural Haryana. This can be done in a variety of ways, like, through spread of education and awareness about rights, changing the patriarchal mindset/system. Concerted efforts are being made in that direction by the government and other agencies to uplift and educate the rural women. Similarly, the 73 rd Constitution Amendment Act created the institutions of village panchayats and local bodies, and gave one-third reservation to women. How far the institution of panchayats in Haryana has changed their status or empowered them, is a matter of debate. Similarly, the issue of spreading education for women in villages is also debatable. Along with this the patriarchal system, and deep prejudices against women in the rural set-up, recently reflected in the form of assertive Khap panchayats, also need to be examined and analysed. The scope of the instant paper is to critically analyse all these and related issues.

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Haryana, rural women, patriarchal, sex ratio, literacy rate, khaps, panchayats

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Collection is the Wealth of library. library collection development is the process of planning and acquiring a balanced collection of library materials of many formats, including books, periodicals, CDs- DVDs, online resources and other media. electronic technologies and collection development are two of the top concerns in library and information science today. the papar highlights on the collection development of resources of selected Four Engineering colleges affiliated to KBCNMU, Jalgaon, (Maharashtra). the survey will covered all aspects of library collection development like, Books (Printed/Electronic), Journal Collection(Printed/Electronic),E-Collection, monographs, rare books, bound volumes, manuscripts etc. the descriptive survey method is adopted for the study. the main purpose of the study is to know the collection development resources in selected college libraries.

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Collection Development, Engineering College Library, library collection development

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Biscuits and cookies are popular across all age groups that comprises three basic ingredients: flour, sugar, and fat, which are combined with additional minor ingredients to produce dough. Wheat flour has a high starch level but a low fibre and mineral content, resulting in biscuits with a lower protein and mineral content. Oats (Avena sativa) is a wonderful source of carbohydrate and protein with a favorable amino acid balance. Oats have a significant amount of lipids, particularly unsaturated fatty acids, minerals, vitamins, and phytochemicals. Oats have several health benefits, including hypercholesterolemia and anticancer properties. Chickpea is also a good source of protein, carbohydrate, minerals and vitamins, and dietary fibre and its consumption has been associated with a lower risk of numerous chronic diseases like cardiovascular disease, obesity, cancer, and diabetes. Aim-To develop a healthy substitute for regular Maida-based biscuits by utilizing oats flour and chickpea hummus as a core component in the form of biscuits (Humm Biscuits) making i t a healthy snack option. Methods-Oats flour and chickpea hummus dough was prepared along with the addition of sesame seeds, oil, and spices in the mixture. The dough was rolled to give the shape of biscuits and then baked. Once the product was developed it was assessed through sensory evaluation by using a scorecard. Results and Discussion- The biscuits were crispy, had a nice greenish-brown colour and taste was similar to commercial 50-50 biscuits. Conclusion-The product is a good substitute for Regular Maida-based biscuits. Hummus biscuits are nutrient dense and can be consumed by all age groups as a healthy snack option. Along with being good protein and fibre source, it is also gluten-free.

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Biscuits, chickpea, hummus, oat flour, protein, health benefits

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The aim of the present investigation is to study the physical and psychosocial environment as perceived by the private lifeguard belonging to nearest area of Puri beach. Accordingly, a group of 100 lifeguards (50 between the ages 26-35 years and 50 between the ages 36-45 years) were selected as sample in this investigation. A General Information Schedule and Perceived Physical and Psychosocial Environment Questionnaire were used as tools. Both qualitative and quantitative analyses were done. The findings revealed that overall physical environment as perceived by them is moderate. According to them sewerage and drainage system and also medical facilities is not good at all. On the contrary, psychosocial environment as expressed by them is good. They opined that they have good relationship with neighbours and co-workers. Their family environment as perceived by them is more or less congenial. The significant expression indicates that their perception about the sea is very strong and they consider sea and also sea-beach as land as well as their life. To maintain congenial physical and psychosocial environment adequate measures may be taken mainly for proper sewerage and drainage system and also better medical facilities.

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Computer vision based food recognition is a technology that uses machine learning algorithms to identify and classify different types of food in digital images or videos. This technology has a wide range of applications, including dietary analysis and tracking, nutrition labelling, and food safety. One of the key benefits of food recognition is the ability to automatically extract nutritional information from food images. This can be particularly useful for individuals who are trying to maintain a healthy diet, as it allows them to easily track their daily caloric intake and ensure that they are getting the necessary nutrients. There are several different approaches to food recognition, including using machine learning algorithms to analyse images of food, using pattern recognition techniques to identify specific features of different types of food, and using deep learning techniques to classify images based on their visual characteristics. Overall, computer vision based food recognition has the potential to revolutionize the way we think about food and nutrition, and could have a significant impact on public health.

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 Keywords

Convolutional Neural Network, Deep Learning, IoU, Machine Learning, R-CNN

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