Volume 11 | Issue 5

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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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The sustainable and no contact attendance system with door unlocking using RFID and LCD screen is a novel approach to address the challenges posed by traditional attendance systems that involve physical contact and paper-based record-keeping. With the COVID-19 pandemic, it has become essential to maintain social distancing and minimize contact between individuals. This system provides an efficient and secure way to monitor attendance without requiring physical touch. The system operates by using RFID technology to read the unique identification number of student or employee ID cards. The LCD screen displays the attendance information, and the door unlocking mechanism allows authorized personnel to access designated areas. The use of RFID technology in the system ensures that attendance data is accurate, and the LCD screen provides real-time updates on attendance status. Moreover, the door unlocking feature adds an extra layer of security, restricting access to authorized personnel only. Overall, the system is a valuable addition to educational institutions and workplaces, providing a safe, efficient, and sustainable way to monitor attendance.

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sustainable, efficient, proxy attendance, authorized personnel, physical contact

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This study describes the development and design process of a multipurpose agricultural robot. The bot is capable of three major tasks: autonomous seed sowing, fertilizer the spraying process, and crop weeding. The robot was created to improve the effectiveness and yield of farming operations. The Internet of Things (IoT) is critical in smart agriculture. IoT sensors can provide information about agricultural lands. We presented a the Internet of Things ( and automated farming system that makes use of automation. This IoT-based Agriculture monitoring system employs wireless sensor networks to collect data from multiple sensors stationed at various nodes and transmit it via wireless protocol. Agriculture is the foundation of the Indian economy. Approximately half of our country's total population has chosen agriculture as a career. Agriculture is important in states such as Maharashtra, Punjab, Kerala, and Assam. It all began with the influence of the "Green Revolution," through which farmers learned approximately the various farming practices and their benefits. Water is the most important resource in this scenario, so solutions for easily watering the crops, consuming less water, and reducing human work were developed. Farmers' level of living improved as a result of these the results. Agro-Technology is the act of applying technological innovation that happens in daily life to the farming industry in order to improve the efficacy of the agricultural made and also to develop a better kinetic machine to assist the agriculture field in order to reduce the amount and time required.

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Agriculture Robot

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Ultraviolet and visible (UV-Vis) absorption spectroscopy is the measurement of the attenuation of a beam of light after it passes through a sample or after reflection from a sample surface. This article uses the term UV-Vis spectroscopy to include a variety of absorption, transmittance, and reflectance measurements in the ultraviolet (UV). visible, and near-infrared (NIR) spectral regions. These measurements can be at a single wavelength or over an extended spectral range. This article provides an overview of the technique and does not attempt to provide a comprehensive review of the many applications of UV-Vis spectroscopy in materials research. In this regard, many of the references were chosen to illustrate the diversity of applications rather than to comprehensively survey the uses of UV-Vis spectroscopy.

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Ultraviolet-Visible-near Infrared (UV-VIS-NIR), Ultraviolet-Visible (UV-VIS), Light emitting diode (LED). Transmittance

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Diabetes mellitus (DM) poses a significant global health challenge in the 21st century, often leading to the development of complications in affected individuals. Complementary alternative medicine (CAM), including herbal medicine (HM), is frequently utilized by diabetes patients alongside allopathic treatments. This study aimed to investigate the prevalence of concomitant use of conventional and herbal medicines among patients in Navi Mumbai, Maharashtra. A questionnaire-based survey was conducted both online and offline, targeting patients aged 15 years and above. The findings from 129 participants revealed that approximately 53% of the respondents engaged in the combined consumption of HM and allopathic medicines, often influenced by information obtained from family, friends, and social media. Alarmingly, around 13% of participants did not perceive the importance of informing their healthcare providers about their herbal medicine use alongside conventional treatments. These findings emphasize the need for increased awareness and communication regarding concomitant use of herbal and allopathic medicines to ensure patient safety and optimize healthcare outcomes in diabetes management.

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Diabetes Mellitus (DM), Herbal medicine (HM), Herb-Drug interaction, Complementary alternative medicine (CAM).

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We are implementing Person Identification using python in this project. Person Identification is highly desirable in applications such as Security monitoring, authentication, Criminal Investigation etc. There are different ways for doing Person Identification including Face Recognition System, Voice Recognition System, Through Fingerprint recognition and Iris recognition. This technique also provides biometric Security. Also, we are using different Algorithms while implementing this project, which will be helpful in implementation of project. We are using Face Recognition and Voice Recognition to Implement Person Identification using python. For Face Recognition, We are using OPENCV library in python, also we are using various high efficiency algorithms for implementing both Face and Voice Recognition.

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Face and Voice recognition

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The central nervous system, or CNS for short, is among the most significant bodily organs because of what it does for the human body. Therefore, a decline in its function may lead to a variety of maladies of the CNS or other body systems that are highly significant. Drug delivery technologies based on lipids called nanostructured lipid carriers (NLCs) have received much study. The creation of NLCs, or nanostructured lipid carriers, was done. The diverse delivery methods for nano-based systems include parenteral, transdermal, ophthalmic, oral, topical, and topical. The creation of NLCs included blending spatially incompatible liquid and solid lipids. Improved bioavailability and higher solubility are drug therapy's key benefits over traditional carriers of NLCs. NLCs used for brain targeting NLCs for CNS diseases (glioma/brain cancer, ischemic stroke, Alzheimer's disease, Parkinson's disease, epilepsy, migraine, Hodgkin's disease, schizophrenia, and multiple sclerosis) are discussed in this review along with their benefits and drawbacks. NLCs method, the most common categories include imperfect, amorphous, and multiple types. Solid lipids, liquid lipids, surfactants, and other excipients are also employed in NLCs. The methods used to create NLCs include high-pressure homogenization, solvent emulsification/evaporation, micro-emulsification, ultrasonication, supercritical fluid, and solvent injection. In recent years, it has drawn more and more interest.

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CNS disease, Nanostructured lipid carriers, Liquid lipid, Solid Lipids, Drug delivery, Methods

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Sales forecasting is critical for businesses involved in retailing, shipping, manufacturing, marketing, and wholesaling. It enables businesses to deploy resources more efficiently, estimate sales revenue, and develop better strategies for the future. In this research, predicting product sales from a certain retailer is done in a method that outperforms any machine learning technique. This project makes use of Big Mart Sales data from 2013.Nowadays, shopping malls and supermarkets keep track of specific item sales data in order to forecast client demand in the future. It holds a vast amount of consumer information as well as item attributes. Furthermore, regular patterns are discovered through mining the data warehouse. The data can then be utilised to forecast future sales for organisations like Big Mart using various machine learning approaches (algorithms). In this research, we propose a model based on the Xgboost algorithm for predicting sales of enterprises such as Big Mart and show that it outperforms other existing models. This project compares this model against other models in terms of their performance measures. Big Mart is a low-cost internet marketplace where users may purchase, sell, or advertise their goods. The purpose of this article is to make Big Mart a shopping paradise for buyers as well as a marketing solution for merchants. The ultimate goal is complete customer pleasure. The project SUPERMARKET SALES PREDICTION creates a predictive model that determines the sales of each product at a specific store. This model is used by the Big Mart to underpin the properties of the products, which plays a significant part in raising sales. This can also be done on the basis of the hypothesis, which should be done prior to looking at the data.

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Big Mart, Supermarket Sales Prediction, Forecast, Wholesaling, Data Warehouse.

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Abstract: In this project we will talk about satellite. Satellites are mainly of two types. Artificial satellite and natural satellite. Satellite can provide data in open source. It can be of many types on the basis of work like point to point and point to multi point satellite. Satellites are made on the basis of their work like Discovery Satellite, Planetary Satellite, Geostationary Satellite, Lower Orbit Satellite, Weather Monitoring Satellite. The satellite made by my group is a lower orbit satellite. Who will monitor the weather. I have used four transponders inside this satellite. It can also receive the audio signal from the earth station. After the receiving signal from the earth station, it amplify and filtering the signal again retransmitted signal on earth at the multipoint. In this satellite, I have used four transponders, which are used in different types, all these transporters are connected to each other, for charging the battery in this satellite, I have installed solar panels, this satellite will monitor the data of the lower orbit and Continuously sends the collected data, a Geo Stationary Orbit transponder is used inside it. This satellite will revolve around the earth 500 kilometers above the earth, whose speed will be 7.9 kilometers per second. Inside this satellite I have used SSB (single side band) technology through which we can transmit and receive single data only, we can use DSB technology to transmit and receive double side band data or It is a project model so I have used SSB technology in it.

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Lower Orbit Monitoring Satellite

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The availability of life-saving pharmaceutical products by their very nature plays a prominent role in the well-being of society. Over the years with the advancement in global marketing strategy and technologies, similar to other profit-driven industries, the pharmaceutical industry also had joined the bandwagon in the process of maximizing profits in the current era of a challenging global market.

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Marketing Management, Pharma Marketing,Pharmacy

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Herbal products have become an item of global importance both medicinally and economically. Although usage of these herbal products has increased, their quality, safety and efficiency are serious concerns in industrialized and developing countries. Thepresent research has been undertaken with the aim to formulate and evaluate the pure herbal formulation. A herbal soap was formulated using the leaf and bark extract of Azadirachta indica,tulsi Ayurvedic cosmetics are also known as the herbal cosmetics the natural contentin the herbs does not have any sideeffect on the human body.Most herbal supplement are based on several botanical ingredients with long histories of traditional or folk medicine usage.

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Keywords: Herbal,Soap,Neem,Tulsi

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Artificial intelligence (AI) is a branch of computer science that deals with the problem-solving by the aid of symbolic programming. It has greatly evolved into a science of problem-solving with huge applications in business, health care, and engineering. One of the pivotal applications of AI is the development of the expert system. With the advent of big data and AI, robots are now becoming more trustworthy for doctors, and a large number of institutions are now employing robots along with human supervision to carry out activities that were previously done by humans. The major advantage of AI is that it reduces the time that is needed for drug development and, in turn, it reduces the costs that are associated with drug development, enhances the returns on investment and may even cause a decrease in cost for the end user. A large number of researches are being carried out to improve the current available AI technology to make the pharmacy profession more efficient. The present article briefly describes the importance of AI in the process of drug development and then looks at the various AI tools that are available at the disposal of a modern-day pharmacist to aid in a more efficient functioning.

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Drug Discovery, tools of AI, MES, ACPS, treatment and management of rare diseases, drug adherence and dosage, challenges to adoption of AI in pharma., Artificial intelligence, Artificial neural network, Drug discovery, Drug delivery research, Hospital pharmacy.

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Online reviews are often the primary factor in a customer's decision to purchase a product or service, and are a valuable source of information that can be used to determine public opinion on these products or services. Because of their impact, manufacturers and retailers are highly concerned with customer feedback and reviews. This practice is known as Opinion (Review) Spam, where spammers manipulate and poison reviews (i.e., making fake, untruthful, or deceptive reviews) for profit or gain. Since not all online reviews are truthful and trustworthy, it is important to develop techniques for detecting review spam. By extracting meaningful features from the text using Natural Language Processing (NLP), it is possible to conduct review spam detection using various machine learning techniques. The majority of current research has focused on supervised learning methods, which require labelled data, a scarcity when it comes to online review spam. Research on methods for Big Data are of interest, since there are millions of online reviews, with many more being generated daily.

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Creative Commons Attribution 4.0 and The Open Definition

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Spam, Natural Processing Language (NLP), Ham, Big Data

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