bluuebunny/crossref_metadata_2025 huggingface dataset:
APPLICATION OF AGADA PRINCIPLES IN THE MANAGEMENT OF SKIN DISORDERS
Authors: P Savalagimath Dr. Mahesh , Prasad Dr. B Sreenivas , F Patil Dr. Santosh
Published: June 2024

The Ayurvedic concept of Dooshivisha holds good for the present-day food and lifestyle where exposure to chemicals and toxins is unavoidable and even the food chain is entangled with pesticides, fertilizers and various processing agents. These low potent poisons produce systemic and metabolic diseases when they get precipitating factors, among which skin diseases are most common. The beauty of Agadatantra lies in its unique way of approaching the diseases, focusing mainly on the Nidaanaas while treating. These may be any of the factors that the person is getting exposed since the Garbhavastha. The etiological diagnosis also rules out the skin manifestations due to Aabharana visha, Jangama visha and Sthaavara visha which helps in treating the disease effectively saving time and unnecessary intake of excess medicines. So the rationality lies in the selection of agadaas and shamanoushadhis in the management of these diseases. Few of such cases along with their causes, diagnosis and management are discussed here to understand the concepts of Agada and their application in managing skin disorders.
THE IRON HOMEOSTASIS HORMONE HEPCIDIN AS AN IMPORTANT INDICATOR OF ANEMIA
Authors: Sengupta Dr. Aditi Munmun
Published: June 2024

Anaemia may pose as a common hematological state where each tissue of the body cannot get sufficient oxygen for appropriate working. Customarily it is measured by haemoglobin concentration level less than 11g/dL in venous blood. Withinthe final decade, fast advance has been made on anaemia and its connection with peptide hormone Hepcidin. Still there is lack of information of this iron regulatory hormone and its work in our body. To demonstrate the cause of anaemia within the human body it is not adequate to measure the hemoglobin level .Level of hepcidin will also offer assistance to uncover many causes behind the failure of the body to take-up iron appropriately. The display endeavor isto audit the existing literature concerning iron control and role of hepcidin in iron control, and its impact, pathways that offer assistance in hepcidin direction and measuring forms of hepcidin so that the significance of hepcidin estimation in iron deficiency can get focussed and come in hone. After understanding all these points it can be said it is not only a suitable modern iron biomarker like: hemoglobin, ferritin, transferrin etc, it will also help to state the iron accessibility within the body, Hepcidin is additionally a significant biomarker that reflects the entire iron storage, mandate of iron metabolism and the disparity of intracellular and extracellular iron level.
RECENT ADVANCES IN ROOT CANAL SEALERS
Authors: Ajith Dr. Aiswarya , Dhawan Dr. Rajan , Makan Dr. Kirti
Published: June 2024

Chief objective of endodontic therapy is obturation with andimensionally stable, inert and compatible sealer of prepared root canal system which will delivera hermetic seal by binding to all walls of the canal. Its use is of significance as a three-dimensional seal of the canal space is achieved with the help of sealer during obturation of the canal 4. Fundamental obturation material, such as gutta-percha points, slides in and become fixed in the canalas sealer functions as a luting agent andlubricant during obturation. New advancements have been used to develop sealers that have much better properties and are biocompatible with the dentin. Bioceramic sealers have changed the face of endodntics. The present review focuses on the recently introduced sealers and discussion regarding its properties.
BLOCKCHAIN AND AI ENABLED NEW BUSINESS MODELS AND APPLICATIONS
Authors: Archana Mrs. Kande , Prasad Dr.V. Kamakshi , M. Ashok Dr.
Published: June 2024

In recent years, the convergence of block chain technology and artificial intelligence (AI) has emerged as a transformative force, shaping new business models and driving innovative applications across various industries. This abstract provides an overview of the synergistic potential of block chain and AI, highlighting their impact on shaping new business models and applications. Block chain, a distributed ledger technology, offers a decentralized and immutable platform for secure data storage and transparent transactions. It provides the foundation for trust and enables the creation of smart contracts, which are self-executing agreements that eliminate the need for intermediaries. AI, on the other hand, encompasses a range of techniques and algorithms that enable machines to perform tasks that typically require human intelligence, including natural language processing, machine learning, and computer vision.
DISTRIBUTED LEDGER IN BLOCKCHAIN TECHNOLOGY
Authors: Almas Shaik Mulla , Khan Pathan Mahamood , K. Kavitha Dr.
Published: June 2024

Distributed Ledger Technology (DLT) forms the cornerstone of blockchain systems, introducing a paradigm shift in data management, transparency, and security. This abstract provides a concise overview of the fundamental aspects of DLT within the context of blockchain technology, elucidating its key principles and applications.DLT is a decentralized and distributed database architecture that facilitates the secure and transparent recording of transactions across a network of nodes. By decentralizing control and consensus mechanisms, DLT mitigates single points of failure and enhances the robustness of data storage and verification.
DATA SECURITY, PRIVACY AND CRYPTOLOGY
Authors: Archana Mrs. Kande , Prasad Dr. V Kamakshi
Published: June 2024

Data security, privacy, and cryptology are indispensable components in the realm of computing technologies and data sciences. As digital data becomes increasingly valuable and vulnerable, ensuring the confidentiality, integrity, and availability of information has emerged as a critical challenge. This abstract provides an overview of the importance and interplay of data security, privacy, and cryptology in safeguarding sensitive data and securing communication channels. In the field of data security, the focus lies on safeguarding digital data from unauthorized access, data breaches, and malicious attacks. Encryption algorithms, access controls, and intrusion detection systems are among the key measures employed to protect sensitive information in various computing environments, including cloud computing and the Internet of Things (IoT). Privacy concerns the protection of personal information and the right of individuals to control the collection and use of their data. With the rise of data-driven technologies and the proliferation of data-sharing platforms, privacy-preserving techniques have become paramount. Differential privacy, anonymization, and secure data-sharing protocols are employed to balance data utility with privacy protection. Cryptology, encompassing both cryptography and cryptanalysis, is essential in securing communication and protecting data integrity. Cryptography involves the use of mathematical algorithms to encrypt data, ensuring confidentiality, authentication, and non-repudiation. On the other hand, cryptanalysis focuses on analyzing cryptographic schemes to identify vulnerabilities and enhance security.
LANGUAGE IDENTIFICATION AND TRANSLATION SYSTEM USING DEEP LEARNING
Authors: S Santhi. , S Selva Nidhyananthan. , R Menaga Devi. , K Mahalakshmi.
Published: June 2024

Language Identification is the process of identifying the language being spoken by an anonymous speaker from an audio clip. Machine and Deep Learning techniques such as Artificial Neural Network, Long Short-Term Memory are used for language identification and then comparing these models for evaluating the performance. The objective is to identify the language effectively from spectral features extracted using Mel Frequency Cepstral Coefficient from pre-processed audio samples. Language Translation is the process of translating from one language to another. The goal of language translation is to make it easier for groups or individuals who speak various languages to communicate and comprehend one another and exchange ideas. The solution for this problem is by introducing intermediate language which is understood by both of us in conversation. We used English as an intermediate language which is widely spoken all over the world and it follows strong grammatical rules that make it suitable for use as an intermediate language. Thus, the first step is to translate input text into an intermediate language and then translate into target language text from intermediate language text. It is feasible to increase the precision and quality of language translations by applying Deep Learning techniques, such as Neural Machine Translation. The main goal of this work is to maintain ordering of words in a sentence which is accomplished through Positional Embeddings mechanism and to preserve contextual meaning of words in a sentence which is done by performing a Multi headed attention mechanism.
SCIENTIFIC ARTICLE CLUSTERING USING R TREES AND K-MEANS ALGORITHM WITH GWO OPTIMIZATION TECHNIQUE
Authors: Thatha Venkata Nagaraju , Sekharreddy B. Veera , Kiran G. Uday , Srilakshmi V. , Sanapala Srinuvasarao
Published: June 2024

Through the employment of technical methods, data resources, and service techniques, the conventional science and technology literature search primarily offers users with trustworthy and in-depth information materials and services. Increases in network, computer, and information technology have led to a proliferation of digital information resources that are having an ever-increasing effect on the conventional approach to providing knowledge services. Under the weight of enormous data volumes, certain tried-and-true technical approaches and service mechanisms fail to deliver the necessary information to users. The method indexes scientific and technical literature using R-trees, and then applies an enhanced k-mean clustering algorithm to develop a clustering model for the data. Literature search efficiency and accuracy were found to be significantly enhanced in experimental settings using datasets culled from academic journals in science and technology.
LOAD BALANCING IN WIRELESS SENSOR NETWORKS
Authors: Das Anuj Kumar , Sarma Rajib
Published: June 2024

Wireless Sensor Network (WSN) finds application in many real life situations. But WSN are subjected to certain challenges. One such challenge is the problem of power failure. The nodes in WSN use batteries. This gives the nodes in a WSN limited source of energy. This may lead to power failure due to heavy load in operations. So a scheme is required to balance the load in these nodes and increase the lifespan of the WSN. Different researchers have come up with different techniques to reduce the power consumption of nodes in WSN.
AN ASSISTIVE SYSTEM FOR PHYSICALLY DISABLED PEOPLE USING NOSE AND EYE MOVEMENTS
Authors: Hebbale Sunil B. , Gavali Ashwini V.
Published: June 2024

The system introduces a new algorithm for moving the cursor on the computer screen using nose and eye movements. By precisely detecting the position of the iris and mapping it to a specific position on the computer screen, this algorithm allows physically disabled people to control the left, right, up, and down movement of the cursor on the computer screen. The algorithm also allows people to open and close folders or files or applications using a click mechanism. The world's growing population with disabilities must be accompanied by increasing research and development of tools that assist these users in basic computing activities. Our project focuses on developing a system that enables the use of personal computers using nose and eye movements. To develop this system, the most effective techniques from previous works have been collected, studied and analyzed, and new ones have been developed to build a high-performance and accurate system that will ensure that physically disabled people can communicate effectively with a computer. The system described here represents a hands-free human-computer interface. In general, the physical mouse that people use is replaced by a new way, which is a virtual mouse that uses nose and eye movements for mouse operations.
IMPACTS OF VARIOUS TEXT PREPROCESSING METHODS FOR TOPIC MODELING TECHNIQUES
Authors: Alagukumar S. , Lawrance R.
Published: June 2024

Text preprocessing is crucial for topic modeling as it helps to remove noise, correct typos, standardize word usage and apply topic modeling. It involves cleaning and transforming the data to make it suitable for analysis, such as removing stop words, stemming, lemmatization and converting all texts to lowercase. Preprocessing can improve the accuracy of topic modeling by removing noise and irrelevant information. Preprocessed data canimprove the performance of the topic modeling algorithm by providing high-quality input data. In this work, it has been analyzed that the mixture of text data is evaluated with various preprocessing namely, removing stop words, eliminating punctuation, finding the root word using lemmatization, tokenization, creating document term matrix and Latent Dirichlet Allocation. This work can be used to discover hidden topics or themes in a large corpus of text data.
FARMERS OPINION ON PROSPECTS AND PROBLEMS IN THE IMPLEMENTATION OF GREEN INSURANCE
Authors: I. Malini Dr. , R. Malini Dr.
Published: June 2024

Green insurance is an easy way for farmers to protect themselves against financial losses due to uncertainties they may arise due to crop failures or losses caused by unforeseen perils that are beyond their control. Green insurance covers risks of anticipated loss in yield of various crops. This paper aims to study the farmers’ opinion on prospects and problems in the implementation of green insurance. Both primary and secondary data were used for the study. 600 sample respondents were selected by adopting stratified convenient sampling method. The collected data were analyzed with statistical tools such as weighted average score and Garrett Ranking method.
A STRATEGIC APPROACH TO MANAGE RETENTION IN BPO INDUSTRIES: A CASE OF INDIA
Authors: Guha Dr. Anindya
Published: June 2024

Now a days India has been regarded as one of the most powerful economies of the world. The cost-effective human resource is the main asset of these industries. This paper tries to examine why attrition is a serious problem in BPO industries. It also identifies the effect of turnover rate on both organization as well as individuals. It finds out some strategies for managing retention and finally recommends the solution for reducing attrition rate in these IT industries.
BANKING OF THE UNBANKABLE- KEY ISSUES AND CHALLENGES IN THE DIGITALISATION OF MICROFINANCE
Authors: Sajan Divya , Joseph Dr. C. Samuel
Published: June 2024

This paper on “Banking of the unbankable: key issues and challenges in the digitalization of microfinance” revolves around one of the most pressing needs of the sector and is based on the methodology of descriptive study of the available literature on the subject. It touches on the growth of the microfinance and rationalizes the critical requirement of regulations. Further the study focuses on the key issues, both the inherent issues in the system and the contemporary issues. The challenges faced in the digitalization process are also analyzed. Further it tries to explain regulations in the general context as well as with reference to microfinance and probes at length the reason as to why regulations are essential in the digitalization. Within this realm it also gives full insight of the regulatory processes at global, national and regional context level. The existing gaps in the regulatory framework is stratified and presented. A connect is also established between the purpose of the regulators, the rationale, the type of regulation and the regulatory intervention which is explained also as a functional model. It also proposes the game change in of microfinance sector to total digitalization as the next level of advancement to achieve total financial inclusion.
MEASURING VOLATILITY OF INDIAN STOCK MARKET BY USING GARCH MODELS
Authors: Ghosh Dr. Priyanka , Mathiyarasan. M Dr.
Published: June 2024

This paper has examined the volatility of Indian Stock Market by using various ARCH & GARCH models. The researchers have considered more than 10 years data to measure the volatility. The researcher has considered monthly closing price of BSE-Sensex to measure the volatility in belief that it will represent the volatility of Indian Stock Market. The data analysis has been done with help of E-Views Software. An ADF test has been conducted to find out the stationarity of the data. The considered time period had experienced with various incidents like Covid-19 Pandemic, Russia-Ukraine War etc. However, the shocks from the news have taken time to normalize in the stock market. Under ARCH model the volatility of BSE Sensex estimated at 0.081162. The sizes of the parameter α and β will ascertain the volatility in the time series. The results of co-efficient indicates that the news in the stock market will remain insistent in future periods.
THE FUNCTION OF ANIMATION AND VISUAL EFFECTS IN ENHANCING EDUCATIONAL EXPERIENCES WITH AI: VISUALIZATION OF KNOWLEDGE ACQUISITION
Authors: Raturi Vinod , Yadav Rakesh Kumar
Published: June 2024

A significant shift in education has been brought about in recent years by the blending of artificial intelligence (AI) with animation and visual effects. This paper is the central significance of animation and visual effects in boosting educational experiences through the application of AI technology is explored in this study. The study looks at the benefits of using animation and visual effects in instructional content, highlighting increased engagement, better memory, and better comprehension of complex ideas as some of the major advantages. AI-driven adaptive learning platforms can alter how educational content is presented in real-time to meet the individual needs of a variety of learners, improving accessibility and overall effectiveness. Utilising technical tools to create and transmit visual messages and information is known as visual communication design technology. This paper explores the numerous possibilities of animation and visual effects in enhancing educational experiences in a range of subjects. The use of various artistic forms into educational materials not only captures students' interest but also makes it possible to simplify and visualise difficult ideas. Animation's capacity for adaptation enables it to transcend cultural borders and establish strong connections with viewers all across the world with help of Animation and Visual Effects in Enhancing Educational Experiences with AI.
OUTLOOK OF ARTIFICIAL INTELLIGENCE IN CLOUD COMPUTING
Authors: Cruz Antony J. , Deepa D.
Published: June 2024

Artificial Intelligence and Cloud computing are cutting-edge and dominating technologies playing a key role in providing services to humankind. The colossal and implicit strengths of Artificial Intelligence and Cloud computing are driving industries into a crucial, modern, secure, and decision-making to address the current and future challenges. Integrating Artificial Intelligence and Cloud with scalability renders benefits to society, by storing, managing, and analyzing data generated from the heterogeneous environment. The growth of data in recent years has been impressive, with the amount of data generated continuing to grow exponentially. The internet and its users are the reason behind this massive growth. In order to meet these increasing data demands, organizations are leveraging AI and cloud computing services to store, manage, and process data efficiently. This chapter discusses the various tools, techniques, and services offered by Artificial Intelligence and Cloud computing related to scalability and reliability concerns during the integration and enables the organization to address the gaps.
EFFECT OF RECYCLED AGGREGATE ON NORMAL STRENGTH CONCRETE
Authors: Sabat Lovely , Panigrahi Binaya Kumar , Sabat Arundaya , Mishra Minakshi
Published: June 2024

Recycled coarse aggregate (RCA) concrete construction technique can be called as ‘green concrete’, as it minimizes the environmental hazard of the concrete waste disposal. Coarse aggregate plays a vital role for formation of concrete as the amount is more than that of fine aggregate. In the present experimental study is carried out to determine the strength characteristic of recycled aggregate in structural concrete as an alternative material for coarse aggregates. For a particular mix design, coarse aggregate is replaced with recycled bricks by 0%, 10% and 20%. A mix of M35 grade concrete was designed. Firstly the casting and testing of specimens for M35 grade concrete was carried out. In Phase-II, the test results are compared with different code values. Fresh concrete was tested for its workability properties through slump test, compaction factor test and Vee-Bee test. Compressive, flexural and split tensile strength test for recycled coarse aggregate concrete was carried out for hardened concrete. Results of the present study are compared with similar results available in literature associated with normal coarse aggregate. The obtained values of strength were compared with the IS-456- 2000, ACI-1985, ACI-1992 and ACI-1995 results. Compressive strength, flexural strength and split tensile strength reduces with increase in percentage of recycled aggregate but the reduction is not prominent up to 20%. The experimental results were well in agreement with IS-456-2000 predicted results. ACI-1985 and ACI-1992 overestimates while predicted values by ACI- 1995 underestimates.
MONTE CARLO SIMULATION-BASED SENSITIVITY ANALYSIS OF MR DAMPER USING RISK ANALYSIS
Authors: Immanuel Sophia , G Hemalatha , C Daniel
Published: June 2024

Magnetorheological Damper, a semi-active controlled damper with its instantons damping and control, has applications in various engineering fields. In structures, MR dampers are used to provide structural damping during seismic excitation. To achieve the optimum performance of the Damper, its damping effects must be adaptive to varying current and magnetic fields under operating conditions. Some of these parameters which determine the behavior of MR damper under seismic excitation may have uncertainty in their values. Hence, a probabilistic approach is needed for the analysis of such systems. In this present study, the parameters that influence the damping properties of Magnetorheological (MR) Damper are adopted using Risk Analysis Software incorporating the Monte Carlo Simulation Approach. The stroke length, annular gap, viscosity, coil turns, magnetic flux density, field intensity, current and voltage are the parameters adopted. The considered parameters were compared with random analysis using MS Excel. These adopted parameters estimated were used in the design of the MR damper for Earthquake Resistant Structures
MULTI-PURPOSE SURVEILLANCE ROBOT
Authors: Mohan Naik R Dr. , D S Mahesh , M B Pradeep Kumar , Bharathraj Kumar M Dr. , S Avinash
Published: June 2024

A surveillance robot is an independent machine constructed to monitor and secure an area against intruders. It consists of various sensors such as cameras, motion detectors, and infrared sensors to spot and track the activity of people or objects within their indicated area. The robot can be remotely supervised or trained to navigate its environment autonomously. The use of a surveillance robot as an intruder monitoring system offers numerous benefits over accepted security measures. Firstly, it can manage continuously without halts or lapses in attention, decreasing the risk of human error. Secondly, it can cover a larger area than a single human operative, increasing the whole effectiveness of the security system. Furthermore, it can collect and broadcast real-time data to a centralized control center, allowing for rapid response to any security threats. The surveillance robot's ability to detect, track, and record the movement of intruders enables security personnel to identify potential threats before they cause harm. Furthermore, the robot can be equipped with non-lethal deterrents such as alarms or flashing lights, providing an added layer of security. In this work we aimed a surveillance robot that gives control and live video issuing for monitoring purpose and detects human intruder and sends SMS alert to the user to caution them with the circumstances.
TEXT-TO-SPEECH WITH CUSTOM VOICE
Authors: N V Sunitha , N V Suchetha
Published: June 2024

The Text to Speech with Custom Voice system has vast applicability in numerous industries, including entertainment, education, and accessibility. The proposed text-to-speech (TTS) system is capable of generating speech audio in custom voices, even those not included in the training data. The system comprises a speaker encoder network, a synthesizer network, and a WaveRNN vocoder network. Multiple speakers from a dataset of clean speech without transcripts are used to train the speaker encoder network for a speaker verification task. It creates a fixed-dimensional embedding vector using the target speaker's reference speech. Using the speaker embedding, the synthesizer network based on Tacotron2 creates a mel spectrogram from text, and the WaveRNN vocoder network transforms the mel spectrogram into time-domain waveform samples. These waveform samples are converted to audio, which is the output of our project. The adaptable modular design enables external users to quickly integrate the Text to Speech with Custom Voice system into their products. Additionally, users can edit specific modules and pipeline phases in this project without changing the source code. To achieve the best performance, the speaker encoder, synthesizer, and vocoder must be trained on a variety of speaker datasets.
THE PRESENCE OF ENDOCRINE DISRUPTING CHEMICALS (EDCS) AND SUSCEPTIBILITY TOWARDS COVID-19
Authors: Pradhan Mohini A.
Published: June 2024

From the last two-three decades exposure of such unwanted substances known as “Endocrine-disrupting chemicals (EDCs)” are increased. These substances are responsible for inviting many acute and chronic diseases, which adversely interfere metabolic and reproductive system. These substances act via mimicking the hormonal action. Also, it interferes with glucose haemostasis and causes such diseases like diabetes, gestational diabetes and also affects male and female reproductive system, cardiovascular system. Because of having these diseases individual increases the possibility for such more diseases like coronavirus disease COVID-19. In the presented study different exposure sites of EDCs and susceptibility towards the COVID- 19 has been described.
FUTURISTIC APPROACHES IN BIOENGINEERING OF CARDIAC SCAFFOLDS FOR THE CUTTING EDGE EXPLORATION IN CARDIOVASCULAR REGENERATIVE MEDICINE
Authors: Abhinav J. , Shobana Dr. S.
Published: June 2024

Acute myocardial infarction (AMI), which block down blood flow to the myocardium, is one among the serious life-threatening disorder that causes mortality and morbidity. The disadvantages of prevailing cardiac restoration interventions include the lack of heart donor and the use of non-biological active idle materials to substitute destorated tissue. Cardiomyocytes, which are potentially not capable of natural regeneration, require novel therapeutic approaches to stimulate cardiac tissue restoration. This chapter highlights the fundamental three aspects of cardiovascular regenerative medicine (cell, bioactive materials, and scaffolds), with an emphasis on the function of scaffolding. Scaffoldings for heart regenerative medicine are three-dimensional porous constructs that mimic the intercellular cardiac matrix and can stimulate relocation, cell maturation, cellular adhesion, and proliferation. Scaffolds have so far opened up new prospects for potential applications in heart regeneration beyond AMI. For cardiac tissue engineering researchers, it is critical to decide on an appropriate biofabrication of synthetic scaffolding, as well as the best biologically compatible, degradable material for scaffold building, because scaffolds must additionally provide mechanical contractility and electrical conductivity. This chapter focuses on the most advanced shifts of biodegradable hybrid-based scaffolds (hydrogels, nanofibers, patches) for cardiac engineering. In addition, we briefly investigated the future prospects and problems of various types of scaffolds.
COMPARATIVE EVALUATION OF ANTIBACTERIAL EFFECTUAL CHARACTERISTICS OF TRIPLE HERBAL LEAF EXTRACTS AGAINST RESPIRATORY PATHOGENIC ISOLATES
Authors: Priya K. , Thenmozhi M. , Jayavarshini S. , Varsha S.
Published: June 2024

The goal of the current study was to assess the antibacterial efficacy of herbal leaf aqueous extracts (Justicia adhatoda, Mukia maderaspatana, and Solanum triloblatum) against respiratory pathogenic isolates. The antibacterial activity of J. adhatoda's aqueous extract demonstrated a zone of inhibition of 14 mm, 15 mm, and 13 mm against E. coli, S. aureus, and K. pneumoniae, respectively, while M. maderaspatana leaf extract demonstrated a zone of inhibition of about 13 mm, 17 mm, and 21 mm against E. coli, S. aureus, and K. pneumoniae, respectively. Using the agar well diffusion method, the S. triloblatum leaf extract demonstrated approximately 17mm, 17mm, and 20mm against E. coli, S. aureus, and K. pneumoniae. Based on these results, it was determined that the Solanum triloblatum aqueous extract outperformed the other two extracts in terms of antibacterial activity against all pathogenic organisms tested. The findings showed that herbal plants' leaves had antibacterial qualities, making them a viable source of herbal medicines with antibacterial capabilities.
MICROBIAL BIOREMEDIATION OF TOXIC AZO DYES: AN ECOLOGICALLY SUSTAINABLE APPROACH
Authors: Swati Dr.
Published: June 2024

A diverse spectrum of synthetic dyes produced by the industries endangers environmental conditions. Because of their stability, colour fastness and resistance to deterioration, existing effluent treatment technologies are incapable of entirely removing resistant azo dyes from effluents. Xenobiotic chemicals, such as azo dyes, are resistant to biodegradation. Furthermore, bacterial colour reduction and degradation of azo dyes is quite effective, resulting in total removal of these contaminants from wastewater. Additionally, this treatment strategy has shown promising results in industrial applications, making it a viable option for large-scale dye removal processes. In addition, the article discusses the factors influencing the bacterial decolorization efficiency, such as temperature, pH and dye concentration. Furthermore, it highlights the potential applications of bacterial azo dye degradation in industrial wastewater treatment and emphasizes the importance of further research in optimizing these processes for practical implementation.
TWO CLASSES OF THREE WEIGHT LINEAR CODES
Authors: K Srirekha. , A. S Arthivasundhra , P Pratheusha.
Published: June 2024

In many communication systems, linear codes are employed to transmit and receive data with little error. Here, we provide a technique for converting two classes of two-weight linear codes into two classes of three-weight linear codes. We specifically offer a building method that keeps the linearity condition while adding a third weight to the original two-weight codes. The resulting three-weight codes are suited for use in applications that need higher dependability because it has been demonstrated that they have stronger error-correcting capabilities than the original two weight codes. Our work aims in the creation of stronger, more reliable linear codes to use in many communication and storage applications.
A LOOK AT THE INTERSECTION OF INFORMATION TECHNOLOGY AND FINANCE [FIN-TECH]
Authors: Mehraj Khalid , Kumar Dr. Vinay
Published: June 2024

The term "Fintech" refers to the emerging field of financial technology, which offers innovative replacements for traditional banking and non-banking financial services. The term "Fintech" refers to a relatively new notion in the financial sector. The primary objective of this study is to investigate the development pattern, application areas, potential opportunities, and existing obstacles within the Fintech business. This article discusses the development of the Fintech industry as well as the current state of financial technology (Fintech) in the Indian financial sector. The digitization of transactions made possible by Fintech enables a higher level of customer safety. The advantages of using Fintech services include lower operating expenses and more user-friendly interfaces. India's financial technology services sector is among the most rapidly expanding in the world. The practises and routines of the Indian financial industry are likely to shift as a result of the introduction of Fintech services.
NEAR INFRARED SPECTROSCOPY (NIRS): A NON- INVASIVE TECHNIQUE FOR EVALUATING THE MECHANICS OF WOOD MATERIAL
Authors: Raturi Dr. Aasheesh
Published: June 2024

Wood material-based industries require simple, less time-consuming and cost-effective techniques to evaluate the properties of many wood samples. In the last couple of years, various researchers have recognized near-infrared spectroscopy (NIRS) as one of the most effective methods for assessing wood properties. The NIR spectrum wavelength range from 800 to 2500 nm (4000 to 12500 cm-1) in which absorption bands correspond mainly to overtones and combinations of fundamental vibrations. The NIR spectra contain information on the functional group CH, OH, and N, which represent the backbone of all biological compounds that can be employed to determine the mechanical properties of wood material. The specific ability of NIRS to measure the modulus of elasticity (MOE) and modulus of rupture (MOR) is mainly attributed to the absorbance of light by lignin and cellulose at a specific wavelength of spectra. In order to assessment of wood mechanics, the degree of overlap and band complexity makes NIR spectra almost impossible to interpret without the help of a chemo-metric approach. The ability to handle the NIRS data from various wavelengths, the chemo-metric techniques, and multivariate statistical methods coupled with NIRS can be enabled spectral interpretation for properties of interest. Without chemo-metric and multivariate methods, NIRS applications would not be possible. This chapter describes the application of NIR Spectroscopy for analysis of mechanical properties of wood. Other multivariate statistical parameters of model evaluation are explained. The main purpose of this chapter is to underline the need of combining chemo metric methods with NIRS technique to develop the most accurate prediction model for assessing wood properties with special reference to wood mechanics.
ENERGY USE IN HOUSEHOLDS: INDOOR AIR POLLUTION AND HEALTH IMPACTS
Authors: Devi Kangabam Kripaliya , Khoiyangbam Dr. R.S
Published: June 2024

Indoor air pollution and its health implications have gained significant attention from scientists, technocrats and policymakers in many countries across the globe. Over the last few decades, many countries have attempted to curtail air pollution levels and ensure clean air. Worldwide, nearly 12 million households use fuelwood to fulfil the energy requirement for heating and cooking. About three billion people, close to half the world’s population, depend on polluting solid fuels. Many households in low-income countries use simple stoves that often lack chimneys for venting gaseous and particulates. Hence, energy use in homes has been held responsible for indoor air pollution in many parts of the globe, with tragic health consequences. Air pollution in rural households is intricately linked to energy consumption patterns. Pollutants from biomass burning persist as one of the prime factors for death and disability today. Common health problems of domestic air pollution include inflammation of the eyes, respiratory tract irritation, cardiovascular complications, lung cancer, etc.This chapter summarizes the various linkages between household energy use, indoor air pollution, and their health impacts. It explores the types of domestic energy, their consumption pattern, alternative fuel options and the strategies to mitigate indoor air pollution. Popularizing and promoting energy-efficient appliances, cheap and cleaner fuels can bring advantages in three ways: reducing energy consumption, curbing indoor air pollution and minimizing negative health impacts.
SEASONAL PHYSICO-CHEMICAL STUDY OF MISIR POND WATER IN BIRKONA, BILASPUR CHHATTISGARH
Authors: Tandon Sandeep Kumar , Nayar Dr. Renu
Published: June 2024

Life on Earth would be impossible without water, as it is a vital component of our environment. This study aimed to evaluate the quality of water in Misir pond, located in the Birkona panchayat village of Bilaspur District in Chhattisgarh state. The assessment was conducted seasonally from May 2019 to January 2020. Water samples were analyzed for various physico-chemical characteristics, including transparency, temperature, pH, total dissolved solids (TDS), and electrical conductivity. The parameter ranges obtained were as follows: Transparency (15-27 cm), pH (7.9-8.5), Temperature (24-28°C), TDS (176-266), and Electrical conductivity (259-573 µs/cm). The experimental values for these physico-chemical parameters mostly fell within the standards set by the World Health Organization (WHO) and the Indian Council of Medical Research (ICMR).
SOME FIXED POINT RESULTS ON OWC MAPPINGS FOR IFMS (INTUITIONISTIC FUZZY METRIC SPACE)
Authors: Namdeo Neerja , Shrivastava Dr. U.K.
Published: June 2024

OWC (occasionally weakly compatible mapping), Implicit relations, Complete intuitionistic fuzzy metric spaces, and a common fixed point.
BATTERY ENERGY STORAGE SYSTEM (BESS) FOR ADDRESSING ENERGY TRANSITION IN INDIA
Authors: Sharma Ashish Kumar , Motiwala Saurabh , Purohit Ishan
Published: June 2024

Being world’s third-biggest emitter of GHG’s India has targeted to reduce the emissions up to 45% of its GDP value of 2005 levels by the 2030. Since energy generation is one of the prime contributors of GHGs country also launched several missions and polices to reduce the fossil fuel-based electricity generation. Further, commitments have been made to reduce this share to 50% by 2030. In view of above commitments, commitments country has also targeted to install 500 GW renewable energy-based electricity capacity by 2030. By end July 2023, total installed renewable energy capacity reached 130.86 GW followed by 71.11 GW solar, 43.94 GW wind,49.80 small etc. There has been significant emphasis and adoption of large-scale renewable energy options and shift in focus from standalone to hybrid solutions that provide firm (or even “round the clock (RTC)”) renewable energy. Despite of rapid growth, ambitious targets the typical arguments against renewable based energy generation are predominantly related to (i) integration into the overall power system (grid), (ii) dispatchability, (iii) scheduling and forecasting, (iv) curtailment, clipping and must run status (NREL, 2016). Compared with the conventional power generation (coal, gas, hydro and nuclear fired technologies) the power output from renewables (without energy storage) is not being controllable and thus have such challenges. Moreover, in the present scenario, emphasis is given on reliability and dispatch ability by the consumer as well as seller of electricity market. The reason being energy markets in India are moving from a fixed tariffs to demand based tariffs. Also, power producers are getting higher prices for meeting peak energy demand of consumers. Another trend prevailing in Global as well as in Indian energy market is procurement and selling of renewable based electricity which is govern by polices as well as RPOs. In view of the above,power producers’ intended to providing high qualityRE power as well whenever needed. However, the power output of renewable energy plants typically depends on intermittent resource (wind power density& solar insolation etc.) is again problematic for stability of electric grid due to continuous harmonics. Moreover, 500 GW of non-fossil fuel-based power would mean a substantial share in future total generation of energy in India. Such large share of intermittent sources will require reliable transmission infrastructure which again is a huge investment to ensure smart supply and demand management. Intermittent behaviours of renewable sources create un-stability and harmonics in the electricity grid due to reflection in voltage and power output and frequency responses which further affects the transmission and distribution systems of utility grid. Table 1 summarizes three key characteristics of renewable energy generation which affect the power grid. These characteristics itself are the major challenges to the green power producers whether technically of economically.
FASCINATING ADVANCEMENTS IN POLYTHIOPHENE AND ITS DERIVATIVES-BASED NANOCOMPOSITES
Authors: Neena Ms. , Asha Dr. , Gulati Geeta , Rani Kusum , Meenakshi Ms.
Published: June 2024

As the realm of nanotechnology continues to push the boundaries of materialscience, the integration of conductive polymers into nanocomposites has emerged as a captivating avenue for innovative research. One class of polymers that has garnered significant attention is polythiophene and its derivatives. The synthesis and utilization of polythiophene-based nanocomposites have opened up exciting possibilities in fields ranging from electronics to energy storage. This review explores the recent advancements in polythiophene and its derivatives-based nanocomposites, highlighting their synthesis, properties, and applications.
BISMUTH FERRITE BASED APPLICATIONS
Authors: Paul Raj , Kossar Shahnaz , Islam Majahid ul
Published: June 2024

With the increase in the need for higher data storage density, the recent focus in semiconductor research includes the fabrication of efficient non-volatile memory (NVM) devices. NVM are the storage devices that can retrieve the information even when external power is halted. Resistive random-access memory (ReRAM), which is category of NVM has promising futuristic applications due to its significant characteristics such as low power consumption and fast read/write processing and simplicity in device structure. Bismuth ferrite (BFO) was the most studied material which were deposited using sol gel method, spray pyrolysis technique and Hydrothermal/Solvothermal Synthesis at 576K. The structural analysis of the prepared BFO thin films shows rhombohedral perovskite structure with R3c space group.Bismuth Ferrite stands as an intriguing multiferroic material with exciting potential in various technological applications. Its combination of ferroelectricity and antiferromagnetism offers unique possibilities for developing multifunctional devices with electric and magnetic control. As researchers continue to explore its properties and overcome challenges, Bismuth Ferrite is poised to play a significant role in advancing modern electronics, energy harvesting systems, and information storage technologies.
AN OVERVIEW ON RECENT DEVELOPMENTS IN LASER TECHNOLOGY
Authors: Mishra Dr. Savvi
Published: June 2024

Major developments in the field of Laser Technology have been made in the past few years. Laser exhibits numerous crucial applications in science, industry and health sectors along with vital military operations and their communication. This chapter highlights the basics of laser and its working principle. Primarily, the presented chapter accentuates the ongoing and existing research progressions in laser machinery. Special mention is made for ultrafast Femtosecond lasers, random lasers used in photonic crystals and laser-assisted microelectronics.
QUANTUM TRANSPORT IN THE SINGLE WALL CARBON NANOTUBE QUANTUM DOTS
Authors: Kumar Jay Shankar
Published: June 2024

The transport properties of carbon nanotubes can be dealt with using Tylor’s series, Boltzmann transport equation and Boltzmann’s H – theorem and other. The density of stateand energy dispersion relation represent the metallic and semiconducting characteristics of the carbon nanotubes explained by band gap.The quantum dot and electro-chemical potential deduce the electron transport related to single electron energy.The effect of scattering is on the transport characteristics in scattering potential can be calculated by Fermi’s – Golden rule that gives scattering of phonon modes. The phonon modes are observed with ballistic transport related to single electron in single wall carbon nanotube quantum dots.
Analisis Peran Guru dalam Meningkatkan Minat Baca pada Siswa Sekolah Dasar
Authors: Andini Amelia , Nisa Sahrun , Suriani Ari
Published: June 2024

This study investigates the role of teachers in encouraging children's interest in reading through learning support, various approaches, and variables that influence interest in reading. The SLR (Systematic Literature Review) method was used, which evaluated nine articles from nationally recognized journals. The research results show that teachers help, encourage, evaluate and encourage students' interest in reading. The use of classroom libraries, wall journals, and interesting textbooks can stimulate students' interest in reading. In addition, internal variables such as students' reading ability and comprehension as well as external variables such as the environment, resources and availability of reading materials also influence students' interest in reading. Therefore, teachers must work hard to choose the most suitable learning methods and media.
A Rare Case Of Early Gastrointestinal Stromal Tumor In 34-Year-Old Woman: A Caution For Adnexal Tumor Mimicry
Authors:   General Practitioner, RS Setiabudi, Medan City, Indonesia, Wijaya Jesslyn , Syahputra Muhammad Nisril ,   General Surgeon, RS Metta Medika, Sibolga City, Indonesia
Published: June 2024

Introduction: Gastrointestinal Stromal Tumors (GISTs) are the leading type of mesenchymal tumor in the gastrointestinal (GI) tract, constituting 80% of these tumors and 0.1% to 3% of all gastrointestinal malignancies. They arise from spindle-shaped mesenchymal cells known as interstitial cells of Cajal. Its onset can be at any age, with the peak occurring in the sixth decade. Case Presentation: We report the case of a 34-year-old woman with a complaint about a lump in her lower abdomen that has been progressively enlarging over the past year without any significant symptoms following the lump. Findings in the ultrasound suggest an ovarian mass. Laparotomy was carried out, and while no ovarian mass was found, instead a mass was identified in the mesentery of the small bowel. As a result, a complete excision of the tumor was performed, with histopathologic and immunohistochemical results confirming a GIST diagnosis. Conclusion: Representing a tiny percentage of gastrointestinal tumors, GISTs are rare. GISTs may be asymptomatic or present without any typical symptoms. Sole reliance on clinical and radiological investigations can cause them to be easily overlooked. Awareness of GIST is critical and care must be taken in diagnosis since other tumor can mimic GISTs in endoscopic, imaging, and histological findings.
Solunum Sistemi
Authors: Yenitürk Baydar Canan
Published: June 2024

Hayvanların yaşamlarının devamlılığı için gerekli olan enerji, tepkime ve reaksiyon sonucunda oluşur. Solunum sistemi, akciğerler ve akciğerlere gerekli olan havayı taşıyan boru sisteminden oluşur. Akciğerler, bu sistemin temelidir. Akciğerlerden hava, bronş ve bronşcuklara taşınır. Bronşcuklardan da alveollere geçer. Alveollerden kana verilen hava oradan da hücrelere taşınır. Hücreler bu oksijeni kullanarak enerji elde ederler. Kan aracılığıyla karbondioksit tekrar alveollere gelir. Alveollerin kılcal damarlarında dolaşan karbondioksit bronşçuk, bronş, soluk borusu, gırtlak, yutak, ağız ve burundan dışarı verilir.