Volume 11 | Issue 5 |

 Abstract

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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 Keywords

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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 Keywords

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

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 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Face and Voice recognition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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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 Abstract

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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 Keywords

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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 Abstract

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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition