bluuebunny/crossref_metadata_2025 huggingface dataset:
IMPACT ON ACCOUNTING INDICATORS OF CHANGES IN THE VALUATION OF NON-CURRENT ASSETS
Authors: Slesarenko G. V.
Published: May 2023

In connection with the adoption of the new accounting standards FSBU 6/2020 “Fixed Assets” and FSBU 26/2020 “Capital Investments”, new valuation categories appeared in accounting - the liquidation value of the asset and the liquidation obligation upon disposal of the asset. The application of new valuations requires close attention, as some accounting indicators depend on their magnitude, which affects the assessment of the property position of the organization and the subsequent analysis of the financial condition. When assessing the liquidation value and liquidation liability, not only the coordinated work of the accounting service and other divisions of the enterprise is required, but also the expression of the professional judgment of the accountant is necessary. If the asset valuation categories are correctly applied, they are reflected in the value balance sheet, which is more real, useful to the reporting user and potential investor. The article describes the procedure for changing the main reporting indicators under the influence of the change in the valuation of non-current assets, such as: fixed assets in the balance sheet, financial result, amount of accrued depreciation. This article will be useful to both students in performing research work and teachers in preparing for lectures, since current material on changes in the legislation of the Russian Federation is used.
CONGRESS HALL WITH A CENTER FOR SUPPORTING INDUSTRIAL DEVELOPMENT ON THE NORTHERN EMBANKMENT IN IZHEVSK
Authors: Galieva A. A. , Bashkova N. S.
Published: May 2023

The article deals with the construction of a congress center in the city of Izhevsk on the northern embankment. The current global trends in the design of this type of building and the prerequisites for its construction in the city of Izhevsk are outlined. The prerequisites are the economic and social base of the city - industrial enterprises with a high proportion of working citizens. Exhibition and congress activities are one of the most significant areas in the development of the Udmurt region. Holding congress conferences, exhibitions, annual industrial forums contributes to the transformation of the city of Izhevsk into one of the leading financial centers in the world. The main ’tool’ for development is the creation of new exhibition and congress centers at the international and federal levels. The main goal for writing this article is to create a multifunctional building for the collective exchange of information innovations, the establishment of business cooperation, interaction between developers and buyers of products. Also, the construction of a dominant on the northern embankment is an impetus for the development of the nearest territory and infrastructure. As a result, the possible areas for the location of the building in the central part of the city are identified and characterized, which are closest to the city-forming enterprise of Izhevsk, also interconnected with the recreational walking area of the pond embankment. In addition to the design area, the nearest infrastructure and pedestrian flows of the pond embankment territory were analyzed.
ADVANTAGES OF CONSTRUCTION OF HIGH-RISE BUILDINGS IN THE STRUCTURE OF THE EXISTING BUILDINGS
Authors: Kalabina D. A. , Prozorova A. A.
Published: May 2023

This article examines the issues and main advantages of the construction of high-rise buildings. The techniques that contribute to the creation of a large-scale human environment for high-rise buildings are described. High-rise objects from the Russian architectural practice are given, the construction of a multi-storey building in the structure of the existing low-rise buildings in the city of Izhevsk is substantiated. The rationality of the construction of high-rise buildings that expose the people in this building to potential danger does not have a clear argument. People are divided according to their knowledge of the construction field. The key characteristics of the urban environment, which have a direct impact on the formation of the housing stock of increased number of storeys, have been identified. Also, the analysis of the psychophysical impact of high-rise buildings on the residents of the city was carried out, factors, ’attraction’ and ’repulsion’, which have a direct impact on this choice, were identified. The directions of improvement and prospects for the introduction of high-rise housing construction are proposed. Buildings are built for people, and their response to the built environment has important implications for urban planning strategies at the urban level. Therefore, the purpose of the article is to find out the attitude of the residents of the city of Izhevsk to high-rise construction, as well as to establish the dependence of the socio-economic parameters of living conditions and the individual characteristics of the psychological and physical data set that affect this choice.
THE RELEVANCE OF A MULTI-APARTMENT BUILDINGS. THE MAIN CRITERIA FOR EVALUATING MASS RESIDENTIAL DEVELOPMENT FOR PROSPECTIVE CONSTRUCTION
Authors: Yakimova M. I. , Khuzyakhmetova O. A.
Published: May 2023

The paper describes the main criteria for evaluating mass residential development for prospective construction. The relevance of the design and construction of multifunctional residential buildings is justified. In the course of the study, the main factors that characterize the spatial, functional, socio-demographic and socio-economic criteria for assessing the prospects of residential complexes were considered. Space-space criteria represent certain requirements for the number of floors, the planning structure of the section and apartment, as well as when choosing the first floors. The functional criteria of urban planning models of multi-storey residential complexes are expressed by the introduction of non-residential funds in residential buildings to accommodate employment and service facilities. Socio-demographic assumptions inherent in the study of the prevailing field, the age of the population, places of recreation for different groups of the population, the identification of the interests of these groups, as well as analyzing queries to the domestic Affairs of a house.
TO THE QUESTION OF SOLVING THE PROBLEM OF PROCESSING SOLID Municipal WASTE IN THE TCHAIKOVSKY CITY DISTRICT OF THE PERM KRAI
Authors: Yakushev N. M. , Naborshchikov A. A.
Published: May 2023

The article discusses the basic principles of the design of the construction of a plant for the processing of solid municipal waste (MSW) on the example of the Chaikovsky urban district of the Perm region. The main approaches in the field of consumer waste management have been identified. Changes in Russian legislation are considered, which tighten the responsibility for violation of environmental and sanitary-epidemiological requirements when handling production and consumption waste. The modern methods and innovative technologies are presented, the ways of solving the problems of waste processing are suggested. The proposed method for solving the problem is a thermal method for utilizing MSW, namely, a pyrolysis method. When carrying out the construction of the design capacities of the plant for the processing of MSW into combustible gas, it is planned to attract private investment on the basis of the mechanism of public-private partnership (PPP), which is successfully used today in various spheres of economic activity. On the basis of the studied data, conclusions were drawn about the possibilities of modifying existing approaches in the field of municipal solid waste management. The problem of utilization of MSW in the Perm Territory and, in general, on the scale of the Russian Federation puts on the agenda a whole block of issues that can be solved only in aggregate, involving specialists of various profiles.
OPINION OF STUDENTS ABOUT THE ORGANIZATION OF DISTANCE LEARNING IN UNIVERSITIES: PROBLEMS AND WAYS OF SOLUTION
Authors: Tarbeeva I. S. , Borisova A. V.
Published: May 2023

In 2020, many areas of society were forced to be transferred to a remote work format. Education is no exception. Universities across the country made decisions on the organization of the educational process online. Based on a secondary analysis of sociological research and a survey of university students, the article analyzes the main problems of distance learning, offers recommendations for solving the identified problems and a possible combination of full-time and distance learning. The students quickly adapted to the distance. Students quickly and successfully adapted to distance learning, but they are not ready to consider its alternative to the traditional learning format. In addition, students admit to a decrease in the level of motivation for learning during a distance student. The main advantages of the distance form are: the ability to study in a comfortable and familiar environment; the ability to combine work with study; flexibility of the educational process. The key problems of distance learning, according to students, are: an increase in independent educational work; lack of „working“ forms of interaction with the teacher; inconvenience of using the platform for distance learning. The authors of the article believe that it is necessary to combine distance and traditional training formats by conducting lectures at the distance, and continue to conduct practical classes in the usual format. In addition, it is advisable to involve interesting speakers with the help of remote technologies to participate in seminars who can share their practical experience on the topic with students.
IN ADDITION TO THE QUESTIONNAIRE ON THE DIALECT VOCABULARY CONTAINED IN THE CORPUS OF RUSSIAN DIALECTS OF UDMURTIA
Authors: Zhdanova E. A.
Published: May 2023

The paper presents the progress and the intermediate results on linguistic-geographical information system “Dialect”. New definitions for the dialect words, showing derivational, semantic, lexical specificity of a dialect speech, are introduced into the system to identify the dialect words and their further presentation in the lexical-geographical and lexicographic modules. The questionnaire of LGIS “Dialect” is based on the Lexical atlas of Russian folk dialects’ program and at the same time complements it. The questionnaire refers to the different topics and parts of speech. The questions are based on authoritative lexicographic sources and examples of words usage in Russian dialects of Udmurtia. The words widely used in the dialect language but not included in Lexical atlas of Russian folk dialects’ program as well as a local vocabulary outside other sources were tagged in LGIS “Dialect”. New data for lexical-geographical and lexicographic description of Russian dialects of Udmurtia were received as the result. The analysis of new tagged words provides a deeper understanding of the lexical vocabulary and the dialect differentiation of Russian dialects of Udmurtia.
COMMUNICATIVE-PRAGMATIC POTENTIAL OF POPULAR SCIENCE MEDICAL TEXTS
Authors: Oshanova E. S. , Merkusheva Yu. V.
Published: May 2023

The article concentrates on the study of the communicative and pragmatic features of popular science medical texts.The purpose of the popular science medical text is to popularize knowledge in the field of medicine, biology and health care. Also medical terminology not only names medical concepts, but also has an influencing function. And expressive means simplify the presentation of medical knowledge and get into contact with a reader. The article gives the definition of “popular science style”, considers its specificity and analyzes the stylistic features of popular science medical texts in English and German. It is noted that the communicative and pragmatic characteristics of popular science texts on medical topics are expressed in the use of certain linguistic means focused on the transfer of scientific knowledge and the involvement of communicants in the perception and understanding of this information. The results of the analysis show that the percentage of terms, colloquial vocabulary, tropes and syntactic means in English and German is approximately the same. It allows us to conclude that most popular science medical texts have such stylistic features. Thus, the authors of popular scientific medical books strive to fulfill their main task - to convey scientific knowledge in the field of medicine to the reader as much as possible.
Stock Price Prediction Using Stacked LSTM
Authors: Badhekar Mohan
Published: May 2023

Abstract: In this project we attempt to implement machine learning approach to predict stock prices. Machine learning is effectively implemented in forecasting stock prices. The objective is to predict the stock prices in order to make more informed and accurate investment decisions. We propose a stock price prediction system that integrates mathematical functions, machine learning, and other external factors for the purpose of achieving better stock prediction accuracy and issuing profitable trades. There are two types of stock trading. You may know of intraday trading by the commonly used term "day trading." Intraday traders hold securities positions from at least one day to the next and often for several days to weeks or months. LSTMs are very powerful in sequence prediction problems because they’re able to store past information. This is important in our case because the previous price of a stock is crucial in predicting its future price. While predicting the actual price of a stock is an uphill climb, we can build a model that will predict whether the price will go up or down for next 30 days
Environmental Monitoring System
Authors: Hulwan Prof. D.B.
Published: May 2023

Abstract: In recent times especially in India, people have become increasingly aware of the importance of the environment they reside in. This has led to a growing demand for a dependable environmental monitoring system. Apart from its industrial application, an environment friendly system to monitor the air quality is too essential for ensuring the safety of workers in chemical, mining, and food industries etc., where there are chances of air getting contaminated by baleful impurities. Largescale sensor deployment for such purposes raises concerns over gathering of the data, handling, connectivity, utilization of power and the potential of the system. Internet of Things (IoT) technology is ideally suited to address these challenges. This paper takes IOT as base and designed the whole system using sensors, micro controllers, and IoT-based technology to effectively monitor changes in the environment. The proposed module enables users to monitor the certain parameters of environment such as humidity, moisture, temperature and expose the present contaminants in the atmosphere. So, the paper also describes the development of a web application that provides vital information to users and allows them to set up notifications for the certain vital changes in data provided by sensor. Compared to other such parallel systems, this system which we have come up with is very cost effective, precise, friendly, and very simple to monitor and visualize the data provided. This proposed system has been checked at different stages The system has been evaluated in various stages and has demonstrated an intense perfection under different conditions.
Land Mine Detection Robotic Vehicle with GPS and GSM Tracking System
Authors: R Lingana Gouda , R Venkatesh , Goutham  , H Thippeswamy , GM Vinay
Published: May 2023

Abstract: This paper presents a new system for landmine detection that combines advanced technology with ease of use. The proposed system is a robot vehicle equipped with a metal detector, GPS, GSM, and a microcontroller that enables it to detect and locate landmines in real-time. The robot vehicle is designed to be controlled remotely by a smartphone app, making it suitable for use in hazardous areas without risking human life. The GPS and GSM capabilities of the robot vehicle allow it to transmit its location and detected data to a control center, making it easy for operators to track and analyze the data. The proposed system is a significant advancement in landmine detection technology, offering a safe, efficient, and reliable solution for detecting landmines in hazardous areas.
AI-Based Chatbot for College Management System
Authors: Janthakal Sheetal , Reddy G Mohan , P Stevenson. , Aqtar K. Shoheb , S Amrutha G
Published: May 2023

Abstract: The days of solely engaging with a service through a keyboard are over. Users interact with systems more and more through chats and chatbots. A chatbot is a computer program that can converse with humans using Artificial Intelligence in messaging platforms. Every time the chatbot gets input from the user, it saves input and response which helps the chatbot with little initial knowledge to evolve using gathered responses. With increased responses, the precision of the chatbot also gets increases. The ultimate goal of this project is to add a chatbot feature and API for College. This project will investigate how advancements in Artificial Intelligence and Machine Learning technology are being used to improve many services.
To Analyse Human Sentiments on Social Media Platforms and Their Interest Inference by Using Deep Learning
Authors: Loganathan Dr. D. , Gyatso Ganga , Kothari Devarshi , Rai Churchan , Swami Divyansh
Published: May 2023

Abstract: In the modern environment, human emotions are complicated and multifaceted. People are exposed to a wide range of information, ideas, and experiences as a result of the quick development of technology and globalisation, which can affect how they feel and how they view the world. from multiple social network platforms that users engaged in. User interest exhibits dualheterogeneities: it is complementarily and multiple social networks reflects them comprehensively; interest of user are not independent of each other rather inter-correlated in a nonuniform way. Although past approaches towards these problems had great success that considers the dual heterogeneities simultaneously, consistency of sources, uses multi-sourced and multi-tasked learning scheme. To address this, a web application coupled with machine learning technique like linear regression to predict the human sentiments by inviting them to attempt the survey. The answers to the survey are per-processed to identify the relationship between different independent variables and a dependent variable that represents a particular sentiment. A database utilising MYSql is used to record the user personal information, the responses, and the quiz results of users who have registered while unknown users are first requested to sign up. Pre-trained data and Supervised Learning algorithms can be used to detect sentiments.
Phishing URL Detection using Machine Learning
Authors: Noori Nematullah , Bawanthad Vyenkatesh , Pakhare Mayur , Agrawal Ramashray , Kimbahune Vinod
Published: May 2023

Abstract: Phishing attacks continue to pose a major threat for computer system defenders, often forming the first step in a multistage attack. There have been great strides made in phishing detection; however,some phishing emails appear to pass through filters by making simple structural and semantic changes to the messages. We tackle this problem through the use of a machine learning classifier operating on a large corpus of phishing and legitimate emails. We design a system to extract features, elevating some to higherlevel feature, that are meant to defeat common phishing email detection strategies. This paper presents an approach to detect phishing URLs in an efficient way based on URL features only. For detecting the phishing URLs SVM classifier is used. The performances are evaluated for different size of datasets using different number of features. The results are compared with other machine learning classification techniques. The proposed system is able to detect phishing websites using URL features only.
Real-Time Sign Language Recognition System for Hearing and Speech Impaired People
Authors: T Sanchana H , N Yashashwini , Vidhyakrishna  , P Thejashree , Banakar Prof. Roopa
Published: May 2023

Abstract: People with hearing loss frequently use sign language to interact with their community and communicate with others because it is largely a visual form of communication. It requires the use of manual gestures, nonverbal facial clues, and body motions, unlike spoken language, to express thoughts and convey meaning. The goal of Sign Language Recognition (SLR) is to identify, interpret, and translate these signs into the appropriate speech or text. For those with speech and hearing impairments, sign language is an essential tool for communicating with others and exchanging ideas. This paper proposes a novel method for recognising individual alphabet signals in sign language so that words can be formed from them. This is accomplished through the application of a deep learning network, which can detect the signs and output the corresponding text. Additionally, the recognized individual characters can be sequentially utilized to form words, which can then be converted into voice output.
Design and Failure Analysis of Piston
Authors: HR Bharath Gowda , CS Gangadhara , CS Nishanth , A Sudeep , G Anusha , N Lokesh , T Griyanna
Published: May 2023

Abstract: A piston is a component of reciprocating engines. The purpose of piston is to transfer force from expanding gas in the cylinder to the crankshaft via a piston rod and a connecting rod. It is one of the most complex components of an automobile. In This project we are describes the structural analysis of five different aluminum alloy pistons, by using finite element method (FEM). The specifications used for designing the piston belong to four stroke single cylinder engine of Bajaj Pulsar 220cc. Modeling of various aluminium alloy piston are done using SOLID EDGE. Static structural, thermal and fatigue analysis is performed by using ANSYS WORKBENCH 2022 R1. The parameters used for the simulation are operating gas pressure, material properties of piston. The results predict the maximum stress and strain on different aluminium alloy pistons using FEA. The best aluminum alloy material is selected based on static structural, thermal and fatigue analysis. The analysis results are used to optimize piston geometry of best aluminum alloy.
ATM Based Face Recognitions System
Authors: Khopkar Shlok Kailas
Published: May 2023

Abstract: Automated Teller Machines are widely used nowadays by people. But it’s hard to carry their ATM card everywhere, people may forget to have their ATM card or forget their PIN number. The ATM card may get damaged and users can have a situation where they can’t get access to their money. In our proposal, use of biometrics for authentication instead of PIN and ATMcard is encouraged. Here, The Face ID is preferred to high priority, as the combination of these biometrics proved to be the best among the identification and verification techniques. The implementation of ATM machines comes with the issue of being accessed by illegitimate users with valid authentication code. The users are verified by comparing the image taken in front of the ATM machine, to the images which are present in the. If the user is legitimate the new image is used to train the model for further accuracy. This system uses open CV to process the image being obtained and Hear Cascade Classifier to detect the faces in the image. The face recognitions done using Local Binary Pattern.
Expense Tracker
Authors: Gunabalan S
Published: May 2023

Abstract: The project entitled “Expense Tracker “was developed using the Android Studio framework. Here XML with Java as the front end and SQLite server as the back end. The Rapid growth of Android applications is creating a great impact on our lives. The aim of this System is will keep track of Income-Expense of people on day to day basis using this application user can set a monthly expense limit according to the expenses made in the specified category, If the user exceeds that monthly expense limit in a specified category system automatically produces the alert. The daily expense tracking System will generate an overall report at the end of the month. This helps the users to keep track of their expenses and determine whether they are spending as per their set budget. And this app also allows other users to suggest activities such that the user can accept the suggestion or neglect it. Using this app users can schedule activities and set reminders so that application gives alerts to the user in an efficient manner. This application will be a solution for so many people. In this Project, we will provide a new idea to the people so that they can track and manage their Schedule And Expenses the easiest way.
Comparative Study for Detection of Early-Stage Alzheimer’s Disease Using Reservoir Computing
Authors: Jeevan Preethi
Published: May 2023

Abstract: In data processing applications going from picture recognizable proof to time series expectation, Artificial Neural Networks (ANNs) have made astonishing progress. The accessibility of colossal datasets for preparing, as well as the rising intricacy of the models, might be added to the achievement. Unfortunately, just a set number of models are accessible for preparing in certain applications. With high-intricacy models, less preparation tests increment the gamble of over-fitting and unfortunate speculation. Likewise, complex models with an enormous number of teachable boundaries need more energy to prepare and improve than easier models. This study clearly demonstrates the importance of ANNs for writing gathering in the early stages of Alzheimer's disease (ES-AD). We propose Reservoir Computing (RC), a method for creating Repetitive Brain Organizations (RNNs) that focuses on planning by expanding only the outcome layer. Convolutional Brain Organization (CNN) and Bidirectional Long haul Present moment (BiLSTM) relationship methodology are in like manner given. We consider the correctness’s and expected energy costs to achieve the various exactness’s when evaluating the precision productivity compromise. Despite requiring significantly less preparation and induction, RC achieves a characterization exactness of 85%, which is 3% lower than BiLSTM and 2% higher than CNN. We guess that our discoveries will feature the need to explore the exactness effectiveness compromise of different models locally to decrease the generally ecological effect of ANNs preparing.
Secret Communication Using Multi-Image Steganography with Face Recognition and OTP System
Authors: Shejole Prof. Sakshi , Sawant Priya , Jadhav Rohini , Rajput Jyoti , Netke Pratiksha
Published: May 2023

Abstract: Our Proposed system is to develop a Web operation for hiding information in any image train to ensure the safety of the exchange of data between different military parties and give better security during communication transmission. We use the LSB fashion. The proposed approach uses a steganography algorithm to bed data in the image lines for military operations. For security purposes, we used modules face Recognition fashion with the AES algorithm for Strong Security purposes. And we use the cover channel fashion as an information-hiding fashion that can be exploited by a process to transfer information in a manner that violates the system security programs. Image steganography is the main aspect of information caching where the ciphertext is bedded into an image called a cover image which is coming to insolvable for the interferers to see with their naked eyes. The retired information can be any textbook, images, audio, or indeed videos inside a cover image. The abstract description ofMulti-image Steganography is that the secret law is divided into multiple corridors and is etched into multiple cover images. So we proposed two image steganography ideas to make it veritably grueling for the hackers to conceal the data. This paper proposes the Least significant bit( LSB) fashion of Steganography and the Advanced Encryption Standard( AES) fashion of Cryptography to make a safe and secure system. Then the sender and the receiver use the same key to encrypt and decipher the data which is popularly nominated a symmetric crucial Keywords AES Algorithm, LSB Algorithm, and Steganography.
Design of a Human Detection Robot during Disaster
Authors: C Dr. Shyamala
Published: May 2023

Abstract: Disasters can disrupt economic and social balance of the society. Many people die while trapped under debris during natural disasters or manmade disasters. This is because their presence was not able to detect by the rescue team as many challenges arises in the disaster area. After any disaster, it is crucial to rescue defectors. Sometimes the rescue team cannot reach many parts of disaster affected area due to the inability to search for the live person in the debris. In order to detect a human body, a robot is equipped with a specific set of sensors that provide information about the presence of a person in the disaster areas. Passive Infrared Sensors (PIR) are the most widely used sensors for surveillance, it detects the alive person who is stuck in the damage caused by disaster. The temperature sensor analyses the temperature around the disaster area. Fire sensor alerts the system if there is any fire accident around the damaged area. Gas sensors alerts the system user so that they can take necessary protocol before rescuing someone. A wireless camera that can transmit live video in low light conditions to the rescue team outside the vicinity. When a human is detected, to get the location of the victim GPS and GSM module is used.
Deep Learning Approach for Facial Expression Recognition
Authors: L Niharika. , Charitha N. , Vivek N. , Kumar G. Sravan
Published: May 2023

Abstract: In recent decades, facial expression recognition has emerged as a hot topic with significant implications in the realm of human-computer interaction. The simplest way for humans to express their emotions is through facial expressions. Non-verbal communication relies heavily on facial expression. This study outlines deep learning-based Facial Expression Recognition (FER) algorithm. The performance of the FER approach is compared based on the number of expressions detected and the difficulty of CNN algorithms. The FER2013, CK+ databases were used in testing the design. CNNs (Convolutional Neural Networks) have as of late gained fame in the field of profound learning because of its superb plan and capacity to convey clever outcomes without the requirement for manual feature extraction from raw information. The suggested algorithm achieves a higher rate of recognition on four datasets.
Nanotools of ZnO Nanostructures offered by Nanotechnology for Sustainable Farming
Authors: Sharma Dr. Mamta , Bhalla Dr. Vandna
Published: May 2023

Abstract: The field of nanotechnology has been growing immensely having its application in health, automobile, defence and agriculture sectors. Recently in a decade its role has been explored and analysed in agriculture sector to comply the demanding needs of food with increasing population. This can be achieved by enhancing crop yield, maintaining air, water and soil quality, managing the resources and harvested food. Nanosensors can help in attaining them with high efficacy and specificity. They allow precise monitoring of plant growth with efficient use of resources, and provide timely detection of plant diseases, air and soil contamination by keeping check on pathogens. By using internet and computer technology the data can be collected and assessed to take corrective and curative measures instantly, allowing good management. Here we discuss ZnO based nanostructures, their cost effective methods of synthesis, role as nutrient source, nanosensors to keep check on pathogens, contaminants in air, water, pesticide and moisture of soil. By proper care and monitoring of crops on real time basis and keeping agro-ecosystem safe with cost effective nanotools, we shall achieve a boost in crop productivity.
Performance Evaluation of M20 Grade Geopolymer Concrete using Fly Ash and GGBS with Super Plasticizer
Authors: Verma Neeraj Kumar
Published: May 2023

Abstract: This study aimed to evaluate the strength properties of geopolymer concrete using fly ash and ground granulated blast furnace slag (GGBS) with the addition of a super plasticizer at a grade M20. The study used 70% fly ash and 30% GGBS to replace the cement content of the concrete mix, and sodium hydroxide and sodium silicate were used as Alkaline activators. The concentration of (NaOH) solution was maintained at 8 molarity and the dosage of activator ratio is 2.5 is a combination of sodium silicate and sodium hydroxide ratio. The compressive strength of the geopolymer concrete was tested at different ages (7, 14, and 28 days) to evaluate the strength properties. The results showed that the addition of fly ash and GGBS significantly improved the strength properties of the geopolymer concrete. Moreover, the optimized dosage of the super plasticizer was found to be 1% of the total weight of the mix. The study concludes that the use of fly ash and GGBS in geopolymer concrete can significantly improve its strength properties, and the addition of a super plasticizer can enhance its workability. This finding suggests that geopolymer concrete could be a viable alternative to conventional concrete in construction applications .The test result shows encouraging results of ordinary Portland cement concrete and geo polymer concrete so one can easily replace ordinary concrete with geopolymer concrete for precast applications.
Smart Panel
Authors: Chavan Paritosh
Published: May 2023

Abstract: A smart switchboard provides convenience by allowing users to remotely control their electrical devices and appliances through a mobile application or web interface. It also offers energy efficiency by monitoring energy usage and promoting adjustments for lower consumption and bills. In this paper we developed a smart panel for wireless control of lights and appliances, including fan speed control, using the Blynk app. A system was also implemented to display and cut off power supply if current or voltage exceeded a set limit to prevent harm to the appliance. The project demonstrated successful implementation and improvement of basic appliance control and safety measures.
Qualitative and Quantitative Determination of Secondary Metabolites of Sphaeranthus indicus and Spathodea campanulata Flowers Extracts
Authors: Chauhan Madhvi Singh , Yadav Swati
Published: May 2023

Since the dawn of time, humans have used plants as a natural source for healing and remedies. Among these, medicinal herbs have gained popularity due to their widespread use and lack of negative side effects. The globe has seen a rise in plant study in recent years, and a tonne of data has been gathered to demonstrate the enormous potential of the therapeutic plants employed in many traditional systems. In this work, flower extracts of Sphaeranthus indicus and Spathodea campanulata from the Madhya Pradesh region of Bhopal were evaluated for their qualitative and quantitative phytochemical composition. The well-known test procedure described in the literature was used to determine the quantitative analysis of total phenolics and flavonoids as well as the qualitative analysis of various phytochemical constituents. Sphaeranthus indicus and Spathodea campanulata both included alkaloids, carbohydrates, saponins, fixed oils and lipids, flavonoids, and phenolics, according to phytochemical analyses. By using the Folins Ciocalteau reagent method and the aluminium chloride method, respectively, phenolic and flavonoid quantities were analysed quantitatively. The amount of total phenolics in the methanolic extract of the flowers of Sphaeranthus indicus and Spathodea campanulata was 18.23±0.16 and 217.00±0.916mg/gm, respectively. Flavonoids came in second with 164.10±0.52 and 79.33±3.511mg/gm. This research gave information that might be used to standardize and correctly identify this plant material. The wide range of phytochemicals found in the plant thus points to its medicinal potentials, which could be investigated in both traditional medicine and the drug manufacturing business.

Keywords: Sphaeranthus indicus, Spathodea campanulata, Qualitative analysis, quantitative analysis, Phytochemical analysis
Formulation and Evaluation of Sustained Release Tablet of Metformin by Ionic Gelation Technique using Sida acuta Gum as Release Retardant
Authors: Okafo Sinodukoo Eziuzo , Monioro Phillips Oghenerhivwe , Enyaosah Perpetual Ogochukwu , Offor Amarachi
Published: May 2023

This research was done to formulate and assess the sustained release property of metformin tablets prepared from metformin microcapsules produced by ionic gelation technique using Sida acuta gum or sodium carboxymethylcellulose as release retardant. Sida acuta gum was produced by isopropyl alcohol precipitation of the filtrate obtained from distilled water maceration of powdered dried Sida acuta leaves. Metformin and Sida acuta gum compatibility was determined using FTIR. Metformin microcapsules were prepared by ionic gelation technique using sodium alginate alone or with either Sida acuta gum or sodium carboxymethylcellulose as release retardant. The microcapsules were evaluated for % yield and flow properties. The size and surface morphology of the microcapsules were determined using scanning electron microscopy. Metformin tablets were prepared from the microcapsules using direct compression technique. The tablets were evaluated for hardness, friability and in vitro dissolution. There was no major incompatibility between metformin and Sida acuta gum. The microcapsules have excellent flow property and were of micrometer size range. They have rough surfaces. The friability of the tablets ranged from 0.4-1.6% while the hardness was from 3.82-11.17 Kgf. The tablets from formulations M2 failed both friability and hardness test. About 44.5-47.1% of metformin was released from the tablet formulations after 6 h while 86.0-100% was released after 10 h. All the tablet formulations showed sustained release ability.

Keywords: Microcapsules, metformin, Sida acuta gum, sustained release, ionic gelation
Formulation, Evaluation and Antibacterial Effect of Herbal Toothpaste using leaves and flowers Acmella ciliata
Authors: Nirmala Devi N , Rasmi R , Aparna K , Gokul K V , Kavya K , Lanina T
Published: May 2023

Oral hygiene, an integral part of the body’s general well-being, it is the practice of keeping the mouth clean and disease free by using tooth paste, mouth wash etc. Plants have been a great source of medical agents for many years and even be considered the origin of modern medicine. Phytochemicals the secondary metabolites of the plants are active ingredients that possess therapeutic properties that are considered as a medicine or drug for therapeutic purposes for the curing of diseases and improving human health.  The main objective of this study is to formulate and develop an herbal toothpaste from herbal source and to evaluate its antibacterial activity. The herbal toothpaste containing leaves and flowers of Acmella ciliate, clove, honey and leaves of guava as the herbal ingredients. Different types of formulations (F1-F3) were formulated using Calcium carbonate as cleaning and polishing agent, Glycerine as humectant, Sodium lauryl sulphate, Sodium chloride as a stain remover from the teeth, Honey. The three formulations were evaluated by various parameters like colour, taste, fragrance, consistency, pH, shape maintenance, threading property, moisture content and foaming character. The herbal toothpaste having aqueous extract of herbal source are tested for antibacterial activity against K. pneumoniae, S. aureus, P. aeruginosa and S. pyogenes. The result shows that the bacteria were found to be more sensitive to the formulated toothpaste as seen by zone of inhibition. Further studies would benefit from a uniform method of assessment for clinical effectiveness of plaque and gingivitis and safety of the formulated herbal toothpaste.           

Keywords: Phytochemicals,Acmella ciliate,herbal toothpast, antibacterial activity
Approaches to Improve Oral Bioavailability of Antihypertensive Drugs: A Mini-Review
Authors: Dole Radhika , Kothapally Daniel , Chukkala Sampoorna , Thatipelli Ravi Chander
Published: May 2023

Hypertension elevates the risk of heart disease and stroke which are one of the most frequent causes of death. Fortunately, hypertension is manageable with the use of anti-hypertensives and a healthy lifestyle. However, patient non-adherence to the prescribed dosing regimen is the primary reason for uncontrolled blood pressure levels. Daily multiple doses of medication are one of the major reasons for patient non-compliance to the dosing regimen. Multiple doses of medication are a result of low solubility and high first-pass metabolism of anti-hypertensives. There are several approaches to improve the bioavailability of anti-hypertensives like polymeric and non-polymeric approaches to enhance solubility, avoiding first-pass metabolism through alternate routes of drug delivery and others. The objective of this review is to discuss different approaches to enhance the oral bioavailability of anti-hypertensive drugs.

Keywords: Solubility enhancements, solid lipid nanoparticles, hot melt extrusion, drug delivery, pharmacokinetics, poorly soluble, oral bioavailability.
Application of Lipids in Hot Melt Extrusion Technology
Authors: Dindigala Anil Kumar , Kodam Mounika Rajya Lakshmi
Published: May 2023

Lipids are commonly used excipients in drug delivery for improving solubility of low soluble drugs, enhancing bioavailability through avoiding first pass metabolism through nanoparticulate approach, modifying the drug release, binders, permeation enhancers, transfection agents etc. Lipids alone or in combination of polymers are increasingly being used in hot melt extrusion (HME) technology for preparation of controlled release formulations, solid dispersions, self-emulsifying drug delivery systems, semi-solid formulations, solid lipid nanoparticles and others. Properties like low melting temperature, viscosity, ability to extrude at low temperature and ability to load high doses of drug favor use of lipids in HME technology. This review emphasizes the use of lipids for variety of applications in HME technology.

Keywords: Lipids, Hot melt extrusion, solubility, bioavailability, parameters.
Antidiabetic activity of methanol extract and fractions of Costus speciosus leaves in normal and alloxan induced diabetic rats
Authors: Siriwardhene Malitha Aravinda , Sabalingam Sriaandhal , Goonetilleke Anil
Published: May 2023

Introduction: Costus speciosus is a common plant used for the treatment of diabetes mellitus and various other ailments in traditional medicine in Sri Lanka. The present study was conducted to investigate the hypoglycemic effect of the leaves of C. speciosus in both normal and alloxan induced male Wistar diabetic rat models. Methods: A methanolic extract of the leaves was produced and used for the preliminary phytochemicals screening. Methanol extract was further partitioned with different solvents (n-hexane, chloroform, ethyl acetate and n-butanol) according to their polarity. Male Wistar rats weighing 150-220 g were randomly divided during the test. In vivo antidiabetic activity of partitioned fractions of C. speciosus leaves was performed in normal rats and alloxan induced NIDDM rats. Standard t-test was used to determine statistical significance. Results: A glucose tolerance test with normal rats indicated that peak levels of blood glucose were reached in 90 minutes after the glucose load. It is noteworthy that the test group recorded a significantly (p < 0.05) lower blood glucose level at 90 minutes, indicating that the 80 % methanol extract exerted an overall hypoglycemic effect with normal rats at 90 minutes, despite being challenged with glucose load. The same dose showed an improvement in the glucose tolerance of alloxan-induced diabetic rats, reducing the blood glucose at 90 minutes by 60 % compared with control. These effects were found to be comparable with the effect of the synthetic drug glipizide at a dose of 20 mg/kg. In alloxan-induced diabetic rats, long term administration of the 80% methanolic extract of C. speciosus leaves daily for 6 weeks resulted in a significant lowering of fasting and postprandial serum glucose when compared to diabetic control rats. Conclusion: Diabetic rats group treated with C. speciosus extract displayed significantly (p<0.05) decreased blood glucose level compared to the control group.

Keywords: Alloxan, Costus speciosus, diabetes mellitus, hypoglycemia, anti-hyperglycemia
Effect of Gallic Acid on Distant Organ Stomach in Intestinal Ischemia Reperfusion Injury
Authors: Başaran Süreyya Özdemir , Kaplan Özge , Aşır Fırat
Published: May 2023

Aim: To examine the effects of gallic acid (GA) in the stomach in rats undergoing intestinal ischemia/reperfusion (IR) with Beclin -1 immunostaining.

Material-Metod: 24 male Wistar albino rats were divided into control, IR and IR+GA groups. For the IR protocol, 60 minutes of ischemia and reperfusion were applied. The small intestines of the rats in the control group were removed by laparotomy and the abdomen was closed without applying anything else. Ischemia and reperfusion was applied to the superior mesenteric artery (SMA) for 60 minutes with a clamp in rats in the IR group. The blood flow was stopped with a clamp on the SMA of the rats in the IR+GA group and ischemia was applied for 60 minutes. 50 mg/kg gallic acid was given intraperitoneally to the animals, 60 minutes of reperfusion was performed, and the abdomen was closed. The stomach tissues were placed in paraffin blocks after routine histological follow-ups. Five micrometer-thick sections were taken from the paraffin blocks and stained with Hematoxylin-eosin and Beclin-1 immunostaining.

Results: In the IR group, degeneration of gastric folds, apoptosis of epithelial cells and degeneration of lamina muscularis were observed. In the IR + GA group, gastric folds improved, but cell infiltration in the lamina propria and degeneration in the muscular layer were observed. Beclin-1 expression was positively observed in the surface epithelial cells and gastric glands in the control group. In the IR group, it was observed that the gastric folds were positive on the surface cells and negative in the submucosa, while in the IR + GA group, it was intensely expressed in the gastric epithelium and gastric glands.

Conclusion: By increasing the expression of beclin-1, GA treatment induced autophagy in gastric mucosal cells, triggered the destruction of damaged cells and provided restoration of the mucosal layer.

Keywords:   Beclin-1, gallic acid, apoptosis
An outline of endocrine disrupting chemicals and the influencing hormones: what the human society ought to know?
Authors: UTHAYANAN KAMALAKUMAR , Sundareswaran Seshadhri
Published: May 2023

Endocrine-disrupting chemicals (EDCs) are exogenous chemicals that interfere with hormones action, thereby increasing the risk of adverse health outcomes, including cancer, reproductive impairment, cognitive deficits and obesity. A complex literature of mechanistic studies provides evidence on the hazards of EDC exposure, yet there is no widely accepted systematic method to integrate these data to help identify EDC hazards. Significant advances in research into endocrine-disrupting chemicals (EDCs) and their health effects have elevated concerns in recent years about these chemicals among a number of international scientific and health organizations. The research reviewed here provides knowledge about EDC’s that health scientists can use to inform their research and decision-making processes.

Keywords: Endocrine disrupting chemicals, hormones action, cancer, reproductive impairment, cognitive deficits and obesity