Volume 11 | Issue 5

 Abstract

: India is a vast country that relies heavily on the highway network for national development. National highways are key transportation hubs and safety must be prioritized to avoid accidents. As the number of vehicles on the road increases, the chances of accidents increase. Accidents can be broadly classified into two categories: subjective factors and objective factors. Subjective factors relate to the mental state of drivers and pedestrians, while objective factors relate to road conditions and engineering aspects. Subjective factors cannot be controlled from the outside, but objective factors can be addressed through various corrective measures. This paper is complemented by objective factor analysis and description, visual road surveys and focuses on suggestions for improvement. Both primary and secondary data were collected to analyze the accident prone areas. Primary data was obtained through physical surveys conducted on NH-48 and secondary data (available data) from National Highways Authority of India (NHAI) in 2020-2021. The collected data were then analyzed using ranking, weight severity and crash density methods to identify random sunspots on NH-48. Then, after further investigation, appropriate corrective actions are suggested for each identified accident prone area. These measures cannot completely eliminate accidents, but they are aimed at minimizing accidents as much as possible.

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Accidental Black spots, NH-48 (National -Highway 48), Ranking Method, Severity, Index Method, Accidental density method.

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Herbal tooth powders consisting of various ingredients that are available in the market in a wide range. Hence modern methods focusing on these aspects are useful for the standardization of herbs and their formulations. Consumers believed by using herbal-based toothpowders are safe, effective, and less toxic. This study is thus aimed to provide an alternative to the consumer and formulate herbal tooth powder using Clove, Neem, Ritha, Babool, Tulasi, Black salt, Stevia Leaf, Cinnamon, Fennal, Allum, Mentha, Camphor. The oral cavity infections are the most common types of infections. Dental caries is an infectious disease, causes damage and infection of enamel and dentine. If it is not treated, the infection continues and will lead to tooth loss. The mouth contains normal ?lora of opportunistic bacteria that are normally non-pathogenic. The imbalance of this situation causes infection and tooth decay. Streptococcus mutants are considered as the main species involved in the development of dental caries. S. mutants, acid-producing bacteria, causes fermentation of carbohydrates which results in tooth decay. Therefore, in the present work, the following aspects of Herbal tooth powders were planned for the formulation, standardization of herbal tooth powder, and anti-bacterial screening of the extracts of herbal tooth powder.

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 Keywords

TOOTH POWDER, HERBAL , HERBAL TOOTH, HERBAL POWDER,

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Information and communication technology has been adopted as a positive technological change in almost every industry; and education industry has not been excluded from this revolution. Education is considered as an important key to the transformation & overall development of human life. In today's competitive world; being literate is not enough; perusing higher education is in demand. The quality of education can be enhanced when educational institutions embrace the innovative and quality ways for teaching & learning processes. ICT symbolizes 'new time' in the evolution of education. Usage of ICT in education industry includes using information & technology in the form of hardware, software & applications in collecting storing students' data, imparting knowledge through audio-visual aids, conducting examination & evaluation of students etc. To sum up, ICT can really be proved advantageous to enhance quality of higher education. Based on primary data; this paper aims at encouraging the use of ICT to enhance the quality of education by understanding the current status of ICT practice in educational institutions and identifying key benefits & challenges of ICT with special reference to institutes in Mumbai suburbs.

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 Keywords

ICT, education industry, Quality, teaching & learning, revolution

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A study on the saving and investment behaviour of home makers in Jogeshwari and Andheri region of Mumbai

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A study on the saving and investment behaviour of home makers in Jogeshwari and Andheri region of Mumbai

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The 5G backhaul will need to support a large bandwidth of devices and data, up to hundreds of gigabits of traffic from the core network. Building an efficient backhaul is critical to 5G to enable high speeds, large capacities and opening up a high bandwidth for numerous connected devices. Nowadays users demand faster speeds, quicker downloads, and quality internet connections everywhere they go. 5G backhaul enables devices to wirelessly connect wherever they are. Additionally, any type of device can connect including smart phones, smart cities, industrial equipment and medical devices. 5G Wi-Fi backhaul, or as a few seek advice from it, Wi-Fi transport, is a method for connecting broadband web, websites to the middle community in a Wi-Fi manner. In the case of cell networks, it is not unusual to attach a radio to community (RAN) tail site (e.g. a base station, end or node/GB) to the middle of the cell community - without the want to install optical fiber. It is used whilst high-pace wire line connectivity to telecom web web sites (generally through fiber optics) is unavailable, whilst fast deployment is required, and whilst a cost-green answer is needed. In fact, in step with a 5G Microwave Report, approximately 38% of all worldwide telecom web web sites might be linked to the relaxation of the community through Wi-Fi backhaul, with the aid of using 2025.

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5G Wireless Backhaul Networks: Challenges and Research on Internet Traffic

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Bitcoin was launched in 2009, several new cryptocurrencies have been initiated with variations to Bitcoin's original design. Bitcoin still remains the most prominent actor in the market. The objective of the research paper is to determine whether the newer cryptocurrencies solves the problem arises in the digital world, Instead of evaluating several cryptocurrencies for this comparison, the crypto currency Ethereum has been chosen as a proxy for the others. Ethereum was started in 2014, is widely backed in the community and is second in line to Bitcoin when it comes to market capitalization. As a basis for the comparative analysis a rigorous study of the Bitcoin and Ethereum protocols have been performed, and parallel descriptions of the systems have been devised. Three problem have shaped the focus of the analysis: computational waste, concentration of power and ambiguity of transactions.

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Cryptocurrency, Security, Blockchain, Bitcoin, Internet, Ethereum

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A Study on the Effectiveness of E- Learning Tools in the classroom.

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A Study on the Effectiveness of E- Learning Tools in the classroom.

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Too many people today rely on emails and messages sent by strangers. Since anyone can leave emails and messages, spammers have a great opportunity to spam about our diverse interests. Spam fills your inbox with a bunch of ridiculous emails. Your internet speed will drop significantly. It steals useful information such as contact list details. Identifying these spammers and spam content can be a hot topic for research and tedious work. Spamming is the act of sending a large number of messages via email. Since the cost of spam is primarily borne by the recipient, it is effectively postage-based advertising. Spam is an economically viable type of commercial advertising as email can be a very cheap medium for senders. Using Bayes' theorem and a naive Bayesian classifier, this proposed model can declare whether a given message is spam or not, and often finds the sender's IP address as well.

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Term Frequency, Naive Bayes, spam, ham, Language Toolkit.

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Music Genre Classification using Deep Learning based pre-trained convolutional neural networks

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Music Genre Classification using Deep Learning based pre-trained convolutional neural networks

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The Chenchus are Adivasi, their habitat is confined to the rocky hills and forested plateau of the Nallamala forest Range, extending on both sides of the Krishna River. They are the overwhelming majority of the speakers of the Dravidian tongue of Telugu. The Chenchus are characterized by a strong sense of independence and personal freedom. The current investigation delineates literacy and health practices prevalent among Chenchu group of Tribals in the state of Telangana. The main objective was to appraise the literacy and health practices among the tribal children. A sample of 120 was included from six tribal villages of Achampet region in Nagarkurnool District of Telangana State. Purposive sampling technique was used to identify the sample. An Interview schedule was prepared for Parents to elicit required information. The findings of the study demonstrated that there was no significant difference was found among the Parents on the literary and health practices among tribal children in the state of Telangana. Educational Implications as well as suggestions for further research were also portrayed.

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Literacy; Health Practices; Tribal Children; Management; Health issues

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Machine learning and deep learning have become increasingly important as a result of technological advancement. Handwriting recognition, robotics, artificial intelligence, and many more industries are now using machine learning and deep learning approaches. Such systems require data training, allowing our machine to learn and make the necessary predictions. In this research, a Handwritten Equation solver with a respectable accuracy of 98 percent is demonstrated. It was trained on handwritten digits and mathematical symbols using a Convolutional Neural Network and certain image processing techniques. The images of the digits 0 to 9, plus and minus signs (+), and handwritten symbols * make up the dataset. For the purpose of extracting the features, we shall use contour extraction. In this Project we build the model using convolutional neural network and train the model to evaluate the equations written by hand in this we use the dataset of numbers and operators written by hand. The input image of hand written equation is given the image is converted into gray background for this we use contour extraction for obtaining the features. The output is produced by the model by evaluating the equation.

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Machine learning; Artificial Intelligence; Contour extraction

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 Abstract

The sewage system must be monitored in order to maintain the city clean. Uneven sewage system monitoring causes drainage to become clogged. Blockages in the sewer system are a major source of sewer flooding and pollution. Workers may be involved in an accident as a result of their ignorance of the situation inside the manhole. To get the necessary output from the module, this model uses a regulator circuit, sensor driver circuit, microcontroller, serial communication devices, and IoT module. Our answer to this problem is an IoT system that warns municipal officials about overflowing drains immediately by notification at the city control centre, as well as citizens via a mobile app. The essential component of this system is a low-power IoT-based portable gadget that is mounted below the manhole cover. Nowadays, accidents due to broken and missing manhole covers are quite frequent. Manholes are not monitored properly in developing countries. These accidents can lead to serious injuries and also death. Hence, here we propose a system to overcome this problem. We have included an array of sensors for complete monitoring of the manhole cover so that such accidents can be prevented. This project includes a Tilt sensor, Level sensor for to measure the level of water which could need to crack information, a tilt sensor is introduced to indicate whether the manhole can tilt, in case of any alert due to any of the parameters we send an SMS to an APP trough wifi. Also, all the parameters are continuously updated on the APP.

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Manhole, Sewage, microcontroller, Atmega328P, Tilt Sensor, Level Sensor

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PhosphoGypsum, dihydrate (CaSO4.2H2O), Hemihydrate (CaSO4.5H2O), Triple, superPhosphate

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Background: Psychoactive substance use disorder is one of the most common psychiatric disorders that has deleterious consequences not only the patient with psychoactive substance users but also hampers social, financial ,and legal matters of his family hence could be considered as a disorder of the family spouses of patients with psychoactive substance use disorder , a key member of dysfunctional family system, are most vulnerable to have significant psychiatric disorders like adjustment disorders, mood disorders, anxiety disorders and psycho-social problems. Hence, we have undertaken this study in order to understand and address such issues which is largely neglected in psychiatric research. Materials and Method: Quantitative research approach, research design in this study is Experimental study design, non-probability convenient sampling technique used. A study conducted on caregivers of psychoactive substance users. The sample size was 95. By using the self-structured questionnaire knowledge regarding psychoactive substances and home care management was assess ed. Time given to fill the questionnaire was 30 minutes. Result: Percentage wise distribution of pre-test and post-test knowledge of caretaker depicts that highest percentage in pretest (64.22) had average knowledge, (32.63%) of them had poor knowledge and in post-test (70.53%) of the respondents had good knowledge. Hence it can be interpreted that self-instructional module was effective in improving the knowledge regarding psychoactive substances and homecare management of caretaker. Hypothesis testing was done by using 't' test and chi-square test. t value was calculated to analyze the difference in pre-test and post-test knowledge score of caretakers. Highly significant difference was found between pre and post-test knowledge score of caretakers (17.100). Hence the stated null hypothesis is rejected as it is interpreted that there was significant difference between pre-test and post-test knowledge score regarding psychoactive substances and homecare management. Chi-square test is applied for association between pre-test study findings and selected demographic variables. Chi-square values for this test are respectively for Age is (?2=4.591), Gender is (?2=10.671), educational qualification is (?2=3.972), Occupation is (?2=1.585), Family income is (?2=13.971), Type of family is (?2=2.587), relation with patient is (?2=16.080) and for drug does your patient consume is (?2=5.621) Conclusion: The focus of this study was to assess effectiveness of self-instructional module on knowledge regarding psychoactive substances and homecare management among caretakers of psychoactive substances users in tertiary care hospital of the city. In this study One group pretest post-test design with quantitative research approach was used. 95 samples were selected from selected hospitals of the city by using non-probability convenient sampling technique. The data was collected by using Self- structured Questionnaire on knowledge of caretakers of psychoactive substances and home care management. Self-Instructional module on psychoactive substances and home care managements. Data was analyzed and interpreted by applying statistical method. The researcher felt deep sense of satisfaction and fulfilment at having undertaken the study. The study provided deeper insight and empathy towards the needs of the expert guidance from the guide and cooperation of teachers has made the study a fruitful and pleasant experience.

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Psychoactive substances, homecare management, caregivers

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Transportation has a crucial impact on a country's growth, with roads being a vital component. They play a major role in people's daily lives as many individuals travel from one place to another via roads. Neglect in maintaining the existing road infrastructure, combined with environmental changes and heavy rainfall, can lead to the formation of potholes on roads. The Ministry of Road Transport and Highways reports that potholes have resulted in numerous road accidents and fatalities in recent years. To tackle this problem, our project aims to develop an automated pothole detection and dimension measurement system. Our proposed solution uses Mask Region-based Convolutional Neural Network (M-RCNN) deep learning algorithm to detect dry and wet potholes, and image processing techniques to estimate the size of the potholes. The implementation of this system will enhance road maintenance, reduce road accidents caused by potholes, and support the overall development of the country.

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Pothole Detection, Area Estimation, Deep Learning, MRCNN, Road Accident.

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Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia and altered metabolism of carbohydrates, lipids and proteins. It is a condition that impairs the body's ability to process blood glucose as result of this increased blood glucose level occurs in our body, which causes a diabetes mellitus. The present study reveals to develop a Polyherbal anti-diabetic herbal syrup by using an extract of a leaves of Gymnemasylvestre and dried seeds of Syzygium cumini. Three formulation of herbal syrup were formulated (F1, F2, F3) Herbals plants used in the formulations shows a potent anti-diabetic action over synthetic ones.F1, F2, F3 formulation were prepared and evaluated. Evaluation parameters of these formulation was found to be within the standard limits and in vitro studies were performed for detection of anti- diabetic activity

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Polyherbal syrup, Diabetes mellitus, Gymnemasylvestre ,Syzygiumcumini

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This research paper explores the relationship between attachment style, emotional intelligence, and life satisfaction among young adults. The aim of the study is to investigate how different attachment styles and emotional intelligence levels contribute to overall life satisfaction in this demographic. The research design employed a quantitative approach, utilizing standardized questionnaires to measure attachment style, emotional intelligence, and life satisfaction. A sample of 200 young adults aged between 18 and 25 years was recruited from various educational institutions and community settings. Statistical analyses, including correlation and regression analyses, were conducted to examine the associations between the variables. The findings revealed significant correlations between attachment style, emotional intelligence, and life satisfaction. Secure attachment style was positively associated with higher levels of emotional intelligence and life satisfaction. In contrast, insecure attachment styles, such as anxious and avoidant, showed negative associations with emotional intelligence and life satisfaction. Emotional intelligence was identified as a mediator in the relationship between attachment style and life satisfaction. Individuals with higher emotional intelligence were found to have greater life satisfaction, regardless of their attachment style. Moreover, emotional intelligence played a compensatory role, attenuating the negative impact of insecure attachment styles on life satisfaction. Overall, this thesis contributes to the growing body of literature on attachment theory and emotional intelligence, providing valuable insights into their impact on life satisfaction among young adults. The findings offer implications for interventions and support systems aimed at enhancing the psychological well-being and overall satisfaction of this population.

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Attachment style, emotional intelligence, life satisfaction, young adults, mental health

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The objective this work is to formulate and evaluate a polyherbal face pack for cosmetic purpose from herbal ingredients. Multani mitti, Manjistha, Haridra, Rakta chandan and lodhra were procured from the local market and were dried, powdered, then passed through sieve no 100, mixed geometrically and evaluated for its organoleptic and physico-chemical, general powder, microscopical characters and chemical evaluation. The dried powder of combined form had passable flow property which is suitable for a face pack. Particle size of the powder was found to be 20 -25?m. The microscopical characters of dried powder of combined form were noted Herbal face packs or masks are used to stimulate blood circulation, rejuvenates the muscles and help to maintain the elasticity of the skin and remove dirt from skin pores. The advantage of herbal cosmetics is their nontoxic nature, reduce the allergic reactions and time-tested usefulness of many ingredients. Thus, in the present work, we found good properties for the face packs and further optimization studies are required on this study to find the useful benefits of face packs on human use as cosmetic product. Everybody wants to get a fair and charming skin. Now a day, acne, black heads, pimples are common among persons who suffer from it. According to Ayurveda, skin problems are normally due to impurity in blood. Herbal face packs are used to simulate blood circulation, rejuvenate the muscles and help to maintain the elasticity of the skin and remove dirt from skin pores. The advantage of herbal cosmetics is their nontoxic nature, reduce the allergic reactions and time tested usefulness of many ingredients.

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Skin, Herbal face pack, Formulation, Evaluation

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Supernumerary teeth are the teeth that appear in addition to the regular number of teeth. Occurrence of supernumerary teeth is most common dental anomaly. The common site for supernumerary teeth is maxillary anterior region. They can be single or multiple, unilateral or bilateral and may appear in any arch at any location. These teeth can be present in primary dentition or permanent dentition. Their presence may result in variety of clinical problems. Therefore they need appropriate diagnosis and management. Supernumerary teeth are diagnosed by thorough clinical examination and radiographic examination. This article presents a case report of a patient having bilateral impacted supernumerary teeth and brief discussion on etiology and management of such teeth.

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Supernumerary teeth, primary dentition, tooth bud, premolar

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The research paper on the era of digital marketing focuses on exploring various aspects of digital marketing, including introduction, history, current state, Impact of Digital Marketing on Business and Society, best practices, and future prospects. It examines how businesses can leverage digital channels to reach and engage with their target audiences, drive conversions, and achieve their marketing objectives. Digital marketing concerns to the use of digital channels, such as search engines, social media platforms, email, mobile devices, and other online media, to promote products, services, or brands. It involves a range of activities, including search engine optimization (SEO), pay-per-click advertising (PPC), content marketing, social media marketing, email marketing, and more. The paper also discusses the latest tools and techniques used in digital marketing, as well as the potential risks and Ethical considerations associated with this field. Ultimately, the research paper aims to provide readers with a comprehensive understanding of digital marketing and its role in today's business environment.

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Digitalmarketing, Onlinemarketing, SEO, Emailmarketing, PPC

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