bluuebunny/crossref_metadata_2025 huggingface dataset:
Integrating Art and Engineering in Hebei's STEAM Education
Authors: Yumin Zhu , Isa Zainudin Bin Mohd
Published: June 2024

This study explores the integration of art and engineering within the educational framework of Hebei, aiming to address the challenges and opportunities associated with interdisciplinary education. Utilizing the STEAM (Science, Technology, Engineering, Arts, and Mathematics) model, the research examines how blending creative artistic processes with technical engineering skills can enhance student engagement, critical thinking, and overall learning outcomes. The proximity of Hebei to major industrial and cultural centers like Beijing and Tianjin provides a unique context for this integration, leveraging local cultural heritage to make engineering education more relevant and engaging. The study identifies specific barriers, such as the traditional emphasis on rote learning and the need for adequately trained faculty, which hinder the successful implementation of integrated curricula.
Comparation of Decision Tree Algorithm, Naive Bayes, K-Nearest Neighbords on Spotify Music Genre
Authors: Hendri Desvita , Nadha Diana , Basri Faishal Khairi , Wajdi Muhammad Farid , Nadhirah Nurul
Published: June 2024

Comparison of Decision Tree, Naive Bayes, K-Nearest Neighbords Algorithm on Spotify Music Genre Decision Tree, Naive Bayes, K-Nearest Neighbords This research aims to compare three algorithms Decision Tree, Naive Bayes and K-Nearest Neighbors (K-NN) in classifying Spotify music genres using dataset from Kaggle. The results show that the Decision Tree algorithm produces an accuracy of 23%, Naive Bayes 17%, and K-Nearest Neighbors 19%. This research provides an overview of Spotify music listeners in choosing music genres. Based on research results, the Decision Tree algorithm has the highest accuracy in classifying Spotify music genres, with the Electric Dance Music (EDM) genre being the most popular among Spotify music fans, followed by rap, pop, r&b, Latin and rock. . Meanwhile, the Naive Bayes and K-Nearest Neighbors algorithms show lower accuracy.
Students’ Perception of Water Safety Education: A Case Study in Selangor, Malaysia
Authors: Yusoff Aziyah , Ibrahim Nor Addha , Ali Aliza , Rahmat Siti Nor Shaadah , Joned Siti A'ida , Yusoff Azimah
Published: June 2024

The safety of children near water is crucial to avoid drowning, a major cause of death among children worldwide. Drowning incidents are a significant issue in Malaysia, especially among young people. The greatest obstacle to the development of policy for water safety among school children is lack of awareness or knowledge of water safety.  This study represents an attempt to measure attitudes towards waters safety and risk of drowning in the District of Gombak in Malaysia. Given the urgency of the matter, immediate attention and action are required. Therefore, this paper seeks to highlight the pressing nature of water safety concerns among school children and assess whether implementing a water safety education program can substantially enhance knowledge levels, thus reducing drowning incidents among children. Yet, drowning in Malaysia still doesn't get enough attention. The sample of the study was 502 school children from a school in the district in Selangor. Purposive sampling was selected. The major findings that emerged were as below: a) the respondents prefer to swim alone. b) They are less favor in of wearing life jackets. c) They prefer to swim without having adults around them. d) They are prone to swim without learning to swim. e) No association between students’ attitudes towards water safety and sex.  The urgency of this research is to address water safety issues among school children.
Implementasi Metode Sha-12 Untuk Mendeteksi Orisinalitas File Video
Authors: Siregar Serdima
Published: June 2024

As times progress, and supported by very rapid technological developments, especially for producing video files, currently producing video files is very easy with various brands of cellphones and there are many models of cameras that can be used to record video, which almost everyone has. person. Video is one of the data representation objects that has been processed. The form of video data is the result of combining images and sound. Video media can also be interpreted as a set of components or media that is capable of displaying images and sound at the same time. The SHA-512 cryptography method produces a 512 bit digest using iteration over a 1024 bit message block. The SHA-512 algorithm includes a hash function that produces the longest hash value, namely 512 bits.)
APLIKASI KOMPOS JERAMI PADI DI MEDIA GAMBUT UNTUK MENINGKATKAN PERTUMBUHAN BIBIT KOPI LIBERIKA
Authors: Sopiana Sopiana , Fitry ramanda Rika , Kurniawan Tardi , Rosmalinda Rosmalinda , Mahruf Hafif
Published: June 2024

Penggunaan media gambut untuk pembibitan kopi perlu diperhatikan karena tanah gambut memiliki permasalahan seperti pH tanah rendah, dan kandungan unsur hara rendah. Penggunaan kompos jerami padi menjadi alternatif untuk meningkatkan kadar unsur hara pada tanah gambut. Kompos jerami padi memiliki kandungan nitrogen 0,5-0,8%, fosfor 0,07-0,12%, kalium 1,2-1,7%, dan silikon 7%. Penelitian ini bertujuan untuk mengetahui dosis terbaik kompos jerami padi sehingga dapat meningkatkan pertumbuhan bibit kopi liberika di media gambut. Penelitian menggunakan rancangan acak lengkap (RAL) terdiri dari 5 perlakuan dan 5 ulangan. Adapun perlakuannya yaitu K₀: tanpa kompos jerami padi, K₁: 150 g/tanaman K₂: 175 g/tanaman, K₃: 200 g/tanaman, K₄: 225 g/tanaman. Parameter yang diamati yaitu tinggi tanaman, diameter batang, jumlah daun, panjang daun, panjang akar dan berat kering tanaman. Data hasil penelitian dianalisis secara statistik menggunakan Analisis Of Variance (ANOVA). Data yang berpengaruh nyata diuji lanjut dengan Duncan Multiple Range Test (DMRT) pada taraf 5%. Aplikasi kompos jerami padi di media gambut berpengaruh nyata terhadap pertumbuhan tinggi bibit, diameter batang, jumlah daun, panjang akar, dan berat kering bibit kopi liberika. Kompos jerami padi dengan dosis 225 g/tanaman yang diaplikasikan di media gambut merupakan dosis terbaik karena meningkatkan pertumbuhan vegetatif bibit kopi liberika.
DIFFERENT AI TOOLS FOR STUDENTS
Authors: Singh Abhishek , Yadav Sakshi
Published: June 2024

Students can benefit greatly from AI tools in many ways, I am writing this chapter so that students can know about different AI tools that are available in the market so they learn and know that how to use them in their academic journey. There are many AI tools are available in market for student aspects so their academic journey will go smoothly. In this Online world after the pandemic over students take help from internet this is the era of Artificial intelligence and Machine learning these tools help a student’s lot in their academic journey
IMAGE AND VIDEO COMMUNICATION: ENHANCING VISUAL EXPERIENCES IN THE DIGITAL AGE
Authors: John S. K. , Khajavali S. K.
Published: June 2024

"Image and Video Communication: Enhancing Visual Experiences in the Digital Age" explores the pivotal role of visual content in contemporary communication landscapes. In an era characterized by rapid technological advancements and an increasingly interconnected world, images and videos have emerged as primary conduits of information, emotion, and narrative. This abstract encapsulates the chapter's investigation into the multifaceted dimensions of image and video communication, elucidating their influence on perception, interaction, and society. The abstract begins by elucidating the fundamental importance of visual communication in human cognition and expression. It delves into the evolutionary and psychological underpinnings that enable humans to process and interpret visual stimuli efficiently. By dissecting the mechanisms through which images and videos convey complex information and evoke emotions, the abstract sets the stage for a deeper exploration of their societal impacts. Continuing, the abstract delves into the technological advancements that have fueled the evolution of image and video communication. From the invention of photography to the digital revolution, the chapter traces the trajectory of visual media's transformation. It spotlights the rise of immersive technologies, such as virtual reality and augmented reality, and their potential to reshape how individuals engage with content. Moreover, it addresses the democratization of image and video creation through accessible tools and platforms, fostering a culture of visual expression.
CROP GURU: PRECISE AND RAPID PLANT DISEASE DIAGNOSIS USING DEEP LEARNING
Authors: Bhosale Tejaswini , Shendkar Bhagyashree , Kadam Pooja , Gulame Mayuresh
Published: June 2024

Sugarcane is cash crop in India also popular crop in Western Maharashtra, with millions of hectares of land dedicated to its cultivation. However, sugarcane crops are vulnerable to several diseases that can cause significant yield loss. In this research, we present an original and innovative approach for sugarcane crop disease detection by utilizing a Convolutional Neural Network (CNN). The proposed approach involves training a CNN model to automatically learn the features of sugarcane leaf images and classify them into healthy or diseased categories. To assess the efficiency of our proposed approach, we employed an openly accessible dataset containing sugarcane leaf images encompassing three distinct disease categories. The dataset was pre-processed and augmented to increase its diversity and size. CropGuru model trained and evaluated using an augmented dataset, demonstrating an impressive overall accuracy of 95.2% on the test set. Moreover, we conducted a comparative analysis, pitting our proposed CNN model against other state-of-the-art classification techniques. The findings conclusively revealed that the CNN model outperformed all other methods, showcasing its superiority in sugarcane crop disease detection. The proposed CNN-based sugarcane crop disease detection system can be a valuable tool for farmers and researchers to quickly and accurately identify the disease-affected crops in turn, they are able to act effectively to stop the spread of disorders and reduce crop production loss
OPTIMIZING WIND ENERGY: UNLEASHING THE POTENTIAL OF AI IN MPPT AND LOAD FORECASTING
Authors: Rathod Deepak , Gupta Rohan , Gidwani Dr. Lata
Published: June 2024

In the contemporary global context, a significant transformative process is currently unfolding on a global scale. The ongoing revolution is causing a transformation in the lifestyles of individuals, leading to significant disruptions in traditional business structures and established processes. Like many other businesses, the power sector is currently experiencing a significant transformation. The power sector is undergoing transformation due to various factors like the adoption of distributed energy sources, the proliferation of electric vehicles, the implementation of advanced metering and communication infrastructure, the utilization of management algorithms, the implementation of energy efficiency efforts, and the integration of new digital solutions. In recent years, there has been a growing utilization of artificial intelligence approaches to tackle issues related to renewable energy due to its ability to effectively handle intricate nonlinear data structures. The prospective acceleration of worldwide renewable energy adoption in the future through technological advancements. Currently, artificial intelligence (AI) is the primary catalyst for the rapid technological revolution. To fully harness the potential of wind power, it is imperative that wind turbines exhibit optimal efficiency in converting energy. This paper provides a comprehensive examination of AI-based Maximum Power Point Tracking (MPPT) techniques in the context of wind energy systems. The impact of working conditions on yield is noteworthy due to the increasing sophistication of wind energy conversion systems (WECS) in response to unforeseen fluctuations in wind speed conditions. Attaining the optimal yield is frequently a formidable task. MPPT controllers are receiving significant interest due to this phenomenon. This article provides a comprehensive examination of both Artificial Neural Networks (ANN) and Fuzzy Logic (FL) as utilized in the context of Wind Energy Systems (WES). This study elucidates the commonly adopted ways to optimize yield under diverse scenarios. Both Artificial Neural Networks (ANN) and Fuzzy Logic (FL) can be utilized as alternatives to conventional methods for control and optimization purposes. The selection and evaluation of both approaches are dependent on the specific application at hand. Statistical data is provided regarding both the existing methodologies employed in this subject, as well as their potential future advancements. The completion of a comprehensive bibliography, the provision of proposals for further research, and the emergence of other issues have transpired. Ultimately, this platform holds potential value for future research in wind power systems, serving as a valuable resource for scholars, energy planners, and lawmakers
POWER GENERATION THROUGH SPEED BRAKERS: THEORETICAL CONCEPT AND STUDY
Authors: Sharma Dr. Virendra , Jangid Er. Nitin Kumar
Published: June 2024

This chapter goal is to introduce an unconventional power source that has the potential to provide energy. Today, energy is the most important form of strength and without it, living is inconceivable. The majority of electricity produced today comes from traditional sources, which may be running out faster than you think. Here comes the desire to explore for alternatives in which we can produce the power using non-traditional resources and no pollution. One such method that we saw was the generation of power through road friction and air compression. Complete association is set up beneath the rate breaker at the road, and as a car drives over it, the rollers attached to a generator spin, producing electricity. Given that there are more cars on the road every day, this approach might prove beneficial for producing electricity. These days, we see a lot of cars on the road, polluting the environment and using their mechanical strength best for transportation. However, if we could convert some of that mechanical energy into a small amount of useful electricity, we could use it to power street lights and save at least a hug amount of electrical power. This chapter lists and extensively examines the employment of several different power generation techniques. The results of several experiments conducted by various writers on various electricity technology methods are discussed below. The methods listed here include the crankshaft and piston mechanism, hydraulic velocity breaker, roller velocity breaker, and rack and pinion method
A REVIEW ON NANO FORENSICS
Authors: Kothakota Naga Jogayya , Vataparthi Pravallika , Ampollu Satheesh , Jena Bikash Ranjan
Published: June 2024

Forensic science pertains to the lawful examination of criminal activity, encompassing the application of biological and technological expertise to identify and analyse evidence. The collection, detection, and identification of evidence are of paramount significance. The field of forensic science is significantly impacted by the advancements in nanotechnology. The recent breakthroughs in nanotechnology have demonstrated the potential of sensor technology in detecting minute traces of substances, including explosives and poisons. The study of body fluids holds significant importance in forensic investigations, requiring prompt attention. In this regard, the utilisation of nanotechnology-based lateral flow assays (LFAs) has emerged as a valuable tool, offering both rapidity and sensitivity in detection. Forensic material characterization encompasses the utilisation of atomic force microscopy (AFM) at the nanoscale level to conduct a comprehensive study. The utilisation of atomic force microscopy in questioned document analysis offers a means to analyse the three-dimensional (3D) surface morphology of paper, which becomes valuable in the detection and characterization of ink crossing and pen strokes. Fingerprint analysis holds significant value in the field of forensic science as it serves as crucial evidence for the purpose of individualization. The sensitivity and reliability of conventional fingerprint production processes are insufficient when it comes to dealing with a wide range of substrates and old prints. Nanotechniques are employed for the enhancement of latent fingerprints. The field of forensic biology primarily focuses on the process of identifying and distinguishing individuals, both victims and perpetrators, through the examination of DNA. Nanoparticles, also referred to as NPs, are employed in order to enhance the efficacy of DNA extraction and amplification processes. Gold nanoparticles have been found to significantly enhance the performance of the polymerase chain reaction (PCR). The present chapter centres on the synthesis methodology of nanoparticles and the extensive utilisation of nanotechnology in the field of forensic science
A REVIEW ON APPLICATION OF POLYMERS AS CHEMICAL ADDITIVES IN OIL AND GAS INDUSTRY
Authors: Shyam Aishwarya , Boruah Biswa Bishrut , Khanikar Bhaskarjyoti , Mech Borkha
Published: June 2024

The oil and gas sector, which forms the backbone of the world's energy supply, is constantly looking for ways to improve its sustainability and efficiency. In the drive to optimize the processes of oil and gas exploration, production, and refining, polymer additives have become crucial elements. The extensive usage of polymers as chemical additives in the oil and gas industry is examined critically in this review study. The examination starts by examining the many kinds of polymers used often in the sector, such as synthetic and biopolymers, and highlighting their unique capabilities. The discussion of polymers many uses follows, with an emphasis on their functions in drilling fluids, enhanced oil recovery (EOR) methods, scale and corrosion inhibition, and the reduction of formation damage. The essay also looks into how certain polymer characteristics, such as molecular weight, solubility, and chemical structure, affect how well they function in particular oilfield applications. Discussed are the advantages and drawbacks of using polymers while taking into account costs, the environment's impact, and compatibility with existing systems. The analysis also evaluates current advancements and advances in polymer technology, highlighting new patterns and prospective uses for the future. This thorough review provides insightful knowledge into realizing the full potential of polymer additives by addressing important issues and opportunities, ultimately assisting in the development of the oil and gas sector toward higher sustainability and efficiency
ARDUINO BASED SMART PARKING SYSTEM
Authors: N. Nagarjuna Mr. , Kumari Mrs. P. Lavanya , Susheela Mrs. K. , R. Sasikala Mrs.
Published: June 2024

In response to the escalating issue of modern-day traffic congestion, the development of smart auto parking systems has emerged as a promising solution. Our team has successfully created an Arduino-based car parking system with the goal of optimizing parking space utilization and enhancing overall traffic flow. This innovative system provides invaluable assistance to drivers in locating available parking spaces swiftly and efficiently. It achieves this through the utilization of Infrared (IR) sensors, which are adept at detecting the presence or absence of vehicles within the parking area. By employing this technology, we aim to not only enhance convenience but also contribute to the improvement of urban traffic management. The application of parking management software is pivotal in automating various aspects of parking administration. This software streamlines processes related to enforcement, issuance, and overall facilitation of parking services. This is particularly valuable for a diverse range of entities, including private garages, public parking facilities, municipal authorities, and educational institutions that allocate space for parking purposes. One notable feature of our system is the ability for drivers to quickly locate available parking slots, ultimately saving them valuable time. This is made possible by incorporating IR sensors that provide accurate distance estimates. The Arduino microcontroller plays a central role in processing the sensor input, generating the necessary output, and displaying the results on a 20x4 LCD display. The successful implementation of this system was achieved through the precise programming of both the IR sensors and the Arduino microcontroller.
IOT-BASED SECURE VIDEO CONTENT DETECTION SYSTEM FOR STRAY ANIMALS
Authors: Chaware Dr. Sandeep , Yadav Ms. Sita
Published: June 2024

The increasing presence of stray animals in urban and rural environments has raised significant concerns for human populations worldwide. Stray animals, including dogs, cats, and other domesticated animals, often lack proper care, leading to potential risks such as disease transmission, attacks, and accidents. With the help of technology, it is possible to solve the problem of stray animals. Nowadays the CCTV cameras are placed everywhere. The videos are used to control crime and to help humans. These videos can be used for identification of stray animals to provide necessary information to NGO’s, government authorities. The traditional method to control stray animals are catch-and-kill, trap-neuter- return (TNR) programs. Computer vision- based secure system may help to protect stray animals from accident. The aim of system is to support Government officials, provide accurate data to NGO and volunteer to save stray animals and provide safe environment without harming them. The present invention is directed towards a video content detection- based system to save stray animals from accidents and to take care of the animals by using object detection and geo-tagging technologies.
SAFE RIDING USING IOT
Authors: Chandrakar Ila , Shyam Gopal K.
Published: June 2024

Bike riding is a lot of fun, but it involves a lot of risk. People prefer motorcycles to cars because they are less expensive to operate, easier to park, and more flexible in traffic. More than 37 million people in India ride two-wheelers. Because of their widespread use, two-wheelers have a higher accident rate than four-wheelers. Motorcycles are more likely than four-wheelers to be involved in deadly accidents. The consequences are more dangerous when a driver is involved in a high-speed accident while not wearing a helmet. It's extremely dangerous and can result in fatalities. As a result, wearing a helmet can lower the incidence of accidents and potentially save lives. This research aims to prevent accidents and design a helmet detection system. An intelligent/safety helmet is the proposed system. A module affixed to the helmet will sync with the module affixed to the bike and ensure that the biker is wearing a helmet. An additional function of an accident avoidance detecting module will be added on the bike.
CHALLENGES IN TEACHING ENGLISH AND COMMUNICATION SKILLS TO ALLIED HEALTH SCIENCES STUDENTS IN INDIA
Authors: Phani Mala Ms. V N , Srikanth Mr. Ganduri
Published: June 2024

Effective communication skills are essential for healthcare professionals to provide quality patient care and collaborate with interdisciplinary teams. However allied health sciences students in India often struggle with English language proficiency and communication skills.
A MOTHER-DAUGHTER TEAM IS FEATURED THE JOY LUCK CLUB AND THE KITCHEN GOD'S WIFE BY AMY TAN
Authors: Kannan Dr. K. , Thiyagarajan Dr. K.
Published: June 2024

The mother-daughter connection, which can be both strong and weak at times, will be the main focus of the study. This has an impact on the psyche and leads to many conflicts. This essay will look at two of Chinese-American author Amy Tan's books: "The Kitchen God's Wife" and "The Joy Luck Club" It provides a brief summary of each book Amy Tan has written in the canon of Chinese-American literature. The foundation of this study is the causes and their effects on the psychological turmoil that occurs in the mother-daughter relationship. Tan's books often centre on kinship, with the mother-daughter relationship serving as a recurring motif. Tan also demonstrates the challenges and genuine love they share, despite the fact that it seems to be one of their closest links. Has the chaos in the relationship been resolved, easing the mental a lot of stress.
STATISTICAL ANALYSIS FOR THE IMPROVEMENT IN TEACHING PEDAGOGY BY CHANGING THE SYLLABUS DESIGN UNDER MULTICULTURAL AND MULTILINGUAL CLASSROOM
Authors: Mishra Anchal , Srivastava Kinshuki
Published: June 2024

The present literature review is executed to find out the perceptions of a teacher and a student about teaching and learning English as a second language in a multicultural classroom teaching in a 21st century. The qualitative study has being conducted in this study and has investigated the motivational factors and the challenges involved for a teacher teaching in a multicultural environment. The study reveals the requirement of learning and upgrading the knowledge of the teacher and to create a learning environment for all the students of the diverse background and culture, having varied language knowledge without biased in a multicultural and multilingual classroom.
REVOLUTIONIZING WIRELESS COMMUNICATION: EXPLORING SOFTWARE-DEFINED WIRELESS NETWORKING
Authors: Sasikala Dr. C. , Shaik Nazeer
Published: June 2024

Software-Defined Wireless Networking (SDWN) represents a paradigm shift in wireless communication networks, leveraging the principles of Software-Defined Networking (SDN) to enhance network management, flexibility, and efficiency. This paper provides an in-depth exploration of SDWN's concepts, applications, challenges, and future prospects. The control plane and data plane separation, adaptation of SDN principles, centralized vs. distributed control strategies, and programmability advantages form the foundation of SDWN. Applications include dynamic spectrum management, quality of service optimization, virtualized network slices, enhanced security, Internet of Things (IoT) connectivity, and edge computing integration. However, challenges such as scalability, reliable communication, security vulnerabilities, interoperability, and energy efficiency must be addressed. The future of SDWN holds promise in 6G integration, emerging technology synergies, autonomous networking, evolved management tools, and industry collaboration. Through these avenues, SDWN is set to reshape wireless networks and drive innovation in the realm of wireless communication.
PHENOMICS IN ABIOTIC STRESS MANAGEMENT
Authors: Madankar Kartik , Singh P.K. , Singamsetti Ashok , Humane Akanksha , Khaire Amrut , Shamkuwar Sahil
Published: June 2024

Several abiotic stresses resulting from increased population, global warming, and other possible climatic conditions have affected the development and production of several agriculturally essential crops. Drought, flood, salinity, high temperature, and other abiotic stressors affect plant physiology as well as its appearance which can occasionally result in a famine-like condition. In this context, plant breeders have a difficult problem in developing climate-resilient varieties: understanding the crops reaction to various stress situations and the underlying stress resistance processes. Over the last decade, advances in molecular tools and functional genomics have made the process of cloning and characterization of essential genes much easier that driving abiotic stress traits. To fully assess a genotype's potential under stress, however, phenotypic behaviour must be evaluated, as well as the components that coordinate such reactions. As a result, in this post-genomic age, sophisticated phenotyping technologies are required for optimal use of the huge amount of genetic data in climate-resilient breeding. Advanced phenomics devices measure shoot and root development, chlorophyll content, canopy temp, and other morphological features of plants in response to various abiotic stimuli with a high degree of precision and in a short amount of time. As a result, phenomics is an important tool for narrowing the gap between genotyping and phenotyping, and it is highly advisable for addressing climate change.
NON –TIMBER FOREST PRODUCTS (NTFPS) FOR SUSTAINABLE LIVELIHOOD OF INDIAN TRIBALS
Authors: Behera Dibyajyoti , Aditya Prasad Kanungo Dr. , Dash Soumya Sakti , Prangya Swatee
Published: June 2024

Tribal people and forest are known as the best combination ever. Non-timber forest products (NTFPs) are essential to the livelihoods of communities around the world as well as the sustainable management of forests. NTFPs include a wide variety of plant and animal-based resources that are taken from forests and other natural landscapes, with the exception of wood. These resources support ecosystem services, biodiversity preservation, and community well-being. Poor harvesting methods and overexploitation in the face of rising market demand, however, are endangering the sustainability of these resources and, consequently, the livelihoods of tribal groups that depend on the forests. As per estimates, 275 million poor rural and tribal people in India depend at least in part on NTFPs for their daily needs and source of income. The NTFPs can act as a crucial safety net for a living during difficult times. This chapter aims to describe the scope, dependence, and livelihood importance of NTFPs for communities that depend on forests. The challenges and NTFP management tactics that will aid in the sustainable exploitation of resources and the creation of livelihood chances for the most disadvantaged members of society are covered in the following chapter.
A LOW-COST ARDUINO - BASED DATA LOGGING SYSTEM TO MONITOR ENVIRONMENTAL PARAMETERS
Authors: Sindhuja Gone , K.Charith Kumar Dr.
Published: June 2024

Different storage conditions like Modified Atmosphere Packaging and Controlled Atmosphere Packaging provides best environment for storage but the cost makes it unavailable for small and marginal farmers so as to record the environmental parameters, development of the sensor for measuring the fruit respiration one can get to know the various parameters such as Temperature, Humidity, and the Level of Carbon dioxide which could be useful in assessing the possible storage conditions. In the first objective, the module is developed with the assemblage of different sensors such as MQ135 and DHT22 and the values have been recorded with the help of a data logger. In the second objective the values are calibrated with the actual working sensor and are made to be in line with it. In the third objective the actual experiment is carried out to measure the various parameters such as temperature, humidity, carbon dioxide. The acquired values are used in the assessment of post-harvest condition and come to the necessary conclusions, the values of temperature and humidity are on par with the values that are acquired with the commercial sensors (Campbell) installed at the greenhouse of soil and water conservation engineering. But the carbon dioxide values have shown deviation.
PREDICTION OF ROOT ZONE SOIL SALINITY AND ITS SIMULATED EFFECT ON PADDY CROP YIELD
Authors: Indraja P. , K. Krupavathi Dr. , H.V. Hema Kumar Dr. , A. Mani Dr. , L. Edukondalu Dr.
Published: June 2024

Sustained productivity from limited land resources is main concern where in the productive lands are getting degraded by different means. Especially in the canal irrigated command areas the land degradation due to root zone salinity and raised ground water table are posing main issues. Present study was conducted to predict the soil salinity and waterlogging using Saltmod and its combined effect on paddy yield using FAOs AquaCrop model for the Krishna Central Delta in Andhra Pradesh. It was found that waterlogging condition exists in the entire simulation period of 10 years and also soil salinity was found to increase from 2dS/m to 6.5dS/m. Using AquaCrop model the yield was predicted with 2m depth to water table and for the simulated soil salinity values of SALTMOD. By the end of the tenth year, the soil salinity reaches 6.5 dS/m which gives the dry yield reduced by 42.28% and the biomass yield reduced by 36.69%. Calibration and validation of models with field level data gives the more accurate results.
PLANT BASED BEVERAGES: TYPES, PROCESS METHODS, NUTRITIONAL VALUE AND CONSUMER PERSPECTIVE
Authors: Karayigit Beyza , Ozer Emir Ayse
Published: June 2024

Concerns about sustainability, animal welfare, environmental impact, personal health issues, and changes in eating habits have increased consumer demand for non- dairy plant-based beverages. Moreover, nondairy plant-based beverage consumption has increased due to the rise in the allergenicity of cow's milk, the prevalence of cardiovascular diseases, lactose intolerance, and the flexitarian choice of food. Nondairy Plant-based beverages are gaining popularity among consumers who are seeking alternative and environmentally sustainable options to traditional dairy drinks. The food industry is therefore developing a range of affordable, convenient, desirable, nutritional, and sustainable non-dairy plant-based beverages. They are good alternatives instead of dairy milk due to the existence of functional components such as bioactive with health-promoting functions. On the other hand, nutritional property and consumer acceptability in terms of taste, and flavor of non-dairy plant-based beverages is lower than cow's milk becoming a threat to its place in the food market. Therefore, this chapter provides an overview of the current knowledge on fundamental processing steps to convert plant material into plant-based beverages, types of plant-based beverages, and nutritional and sensory aspects of plant- based beverages.
FOOD SAFETY ISSUES IN TRADITIONAL FOODS
Authors: Ayse Demet Karaman Prof. Dr. , Altug Tekin
Published: June 2024

Traditional foods play a significant role in many cultures and are cherished for their unique flavors, historical significance, and association with heritage. However, the safety of these traditional foods has been a growing concern in recent times. With the growing importance of traditional foods and products, the basic principle is to create local employment opportunities, increase income and ensure the well-being of people in the community. In this context, traditional products are proving increasingly important as tools for promoting local development in a globalized world. However, ensuring the sustainability of the production of these products and increasing their diversity go hand in hand with ensuring food safety and product quality. Furthermore, defining the scope of food concepts and introducing new methods are of great importance to stakeholders to ensure food safety. In this context, it presents current practices regarding food safety risks and management systems, identifies consumer behavior, and applies innovative modern practices and new technologies to food technology for traditional products. The people's wealthy social legacy incorporates conventional foods and food planning strategies. As the worldwide request for these foods increase numerous components must be considered. Besides, it is fundamental to create progressed approaches to analyze the combined impacts on quality and security. It is necessary to facilitate the formulation of policies and the implementation of measures to promote sustainable food systems for traditional foods. Hence, adopting standard traditional food production technologies, using advanced technologies to produce food products under appropriate conditions, ensuring food quality and safety, and preventing economic damage, under any circumstances and even during an ongoing epidemic, it will benefit sustainability. This chapter aims to explore the various food safety issues associated with traditional foods and their potential implications on public health. The paper also delves into the importance of food safety awareness among consumers and producers. Implementing proper food safety practices, from sourcing ingredients to final preparation, can significantly reduce the risks associated with traditional foods.
SUPERCRITICAL FLUID EXTRACTION OF OILS FROM DIFFERENT BIOLOGICAL MATERIALS
Authors: Joshi Nirav U. , Shingala Abhishaben M. , Dabhi Mukesh N. , Popalia Chandani J. , Parmar Arjun R.
Published: June 2024

Supercritical fluid extraction plays a vital role across various industries, and its significance is particularly noteworthy in the food industry. This technique represents an innovative extraction method that not only increases yield but also reduces extraction time, ensuring higher quality and precise extraction of beneficial compounds from oils. Critical factors for successful SFE encompass temperature, pressure, the use of co-solvents, particle size, and moisture content. These factors allow for the selective extraction of desired components from seed oils and essential oils, ensuring top-notch quality. This approach is not only widely accepted but also aligns with environmentally sustainable practices, offering promising solutions to the challenges faced by industries seeking efficient and eco-friendly methods for extracting valuable compounds from seeds and other raw materials.
MILK ADULTERATION – A POTENTIAL THREAT FOR HUMAN HEALTH
Authors: M. Aruna Prof. , L. Anita Dr. , Sai Bramari G.
Published: June 2024

Milk production is part of agriculture because the dairy is associated with agriculture. Milk is a complete food but is perishable due to limited shelf life and by growth of microorganisms. The quality of milk can be affected by the presence of additional water, detergents and disinfectants, antibiotics, pesticides, heavy metals and pathogens. The quality defects are often resulted due to microbial contamination causing the spoilage. The assessment of milk quality and related milk products is carried out by sensory, chemical, and microbiological analyses. With the emphasis on maintaining the quality of milk during production, transport, storage, and distribution this chapter focuses upon the methods of detection of adulterants and latest technological advances in detection of milk adulteration and to detect the good manufacturing practices in milk supply chain in the interest of public health.
EFFECTIVE IMPLEMENTATION OF AI IN BLOCKCHAIN TECHNOLOGY WITH ENHANCED IOT SECURITY
Authors: Sreevani M. , Latha Dr. R.
Published: June 2024

Blockchain technology and artificial intelligence have shown tremendous potential in revolutionizing various industries, including Industry 4.0. This paper explores the integration of blockchain technology and artificial intelligence and how they can complement each other. Additionally, the paper proposes the inclusion of Internet of Things (IoT) with enhanced security to further strengthen the implementation of these technologies. The benefits of this integrated approach include faster transaction processing, improved data security and transparency, and optimized data control for businesses and industries. The proposed method aims to demonstrate how this integration can be leveraged to create a robust and efficient system for the future.
ENHANCING SECURITY IN CROSS-BORDER IOT TRANSACTIONS THROUGH PREDICTIVE MACHINE LEARNING USING BI-GRU
Authors: Lingeswari R. , Brindha S.
Published: June 2024

The proliferation of Internet of Things (IoT) devices has ushered in a new era of connectivity, transforming various sectors within Industry 4.0. However, this surge in IoT adoption has also brought about challenges, particularly in securing cross-border transactions. Conventional approaches to vulnerability analysis rely on rule-based decision-making embedded within models, often failing to detect fraudulent activities in high-frequency cross-border transactions. In this paper, we propose an innovative predictive big data analytics framework that effectively addresses vulnerabilities in cross-border IoT transactions. By harnessing the power of machine learning, we delve into historical transaction data, thereby enabling financial institutions to mitigate risks associated with cross-border operations. Our methodology leverages a Bidirectional Gated Recurrent Unit (Bi-GRU) model to discern subtle patterns indicative of fraudulent behavior, significantly enhancing vulnerability assessment. Simulation results underscore the superiority of our approach compared to existing methods in identifying and combatting transactional vulnerabilities.
OSTEOCHONDRAL INJURY OF THE KNEE, MANAGEMENT TECHNIQUE AND FUTURE DIRECTION
Authors: Singh Kushwaha Dr. Narendra , Kumar Dr. Puneet , Kapoor Dr. Rajat , Verma Dr. Ashutosh
Published: June 2024

Worldwide for orthopedic surgeons; osteochondral injuries are a common clinical issue. Injury to the chondral and osteochondral structures is widespread and mainly affects an active, young population. The onset of articular cartilage abnormalities that result in higher joint contact pressures, more joint degeneration, and possibly the development of osteoarthritis follows the initial step of these alterations, which is a loss of cartilage volume and function (chondropenia). For assessing chondral and osteochondral injuries, MRI is becoming more and more significant. The initial line of treatment for an osteochondral lesion should always be fixation in the event of a big acute osteochondral bone. Autologus and allogenic graft possibilities may be used by a surgeon if more donor tissue is needed. More contemporary cell culture approaches (cells and growth factors) have been researched with the goal of altering the cell microenvironment to promote cell differentiation and provide regenerative capacity.
EFFECTIVENESS OF MUSCLE ENERGY TECHNIQUE AND SUBOCCIPITAL AND STERNOCLEIDOMASTOID MUSCLE RELEASE IN PATIENTS WITH FORWARD NECK POSTURE AND NECK PAIN
Authors: Sasidharan Shwetha , Eapen Samuel Sanjay
Published: June 2024

The most prevalent musculoskeletal condition in the general population is neck pain. Neck discomfort is a disorder that exerts a significant financial strain on the healthcare system, with up to 37% of people experiencing persistent symptoms. The wrong posture is still the most frequent cause. Patients have reported having forward-leaning neck posture, which is a postural deviation brought on by biomechanical changes including not only the cervical and thoracic regions but also the scapular position.
INCORPORATION OF PEER ASSISTED LEARNING STRATEGIES ALONG WITH REVERSE MENTORSHIP FOR IMPROVEMENT IN SCHOLASTIC PERFORMANCE
Authors: Anand Dr. Nirmala , Shivasakthy Dr.(prof) M. , Manglik Saloni , Shenoy Dr. Rajesh
Published: June 2024

Teacher-led didactic lectures have been the mode of imparting knowledge in academic institutions for as long as one can remember. This approach has very limited student interaction and does not have the element of feedback necessary for a student’s overall development. Therefore, the concept of peer-assisted learning has been introduced and its incorporation has made education a student-driven process along with its numerous other advantages. The methodology of reverse mentoring wherein students also share their skill-set with their teachers also adds value to the learning process. Active participation in peer-assisted learning should be seen as complementary to teacher-led approaches and is crucial for medical colleges seeking to stay at the forefront of medical education.
BIOLOGICAL MOLECULAR AND CELLULAR EFFECTS OF IONIZING RADIATION
Authors: Kannaiyan Vignesh , B Preethi.
Published: June 2024

The ionising radiation is a common tool in medicine as a diagnostic and therapeutic agent. The initial damage to DNA and chromosomes may result in either cell death, which can cause early tissue damage, or the conversion of cells into malignancy and, ultimately, cancer, increasing concerns about radiation protection in a number of exposure scenarios, including occupational and environmental exposure (such as radon). The scientific community must constantly refresh and enhance its understanding of the mechanisms behind the induction of radiation effects in biological targets in order to optimise the usage of ionising radiation and the accompanying radiation safeguarding techniques.
VERICIGUAT: A MIRACULOUS THERAPEUTIC AGENT FOR HEART FAILURE
Authors: Achhelal Yadav Ms. Bijal , Sunil Jain Mr. Akshat , Rajesh Patil Mr. Abhiram , Rajesh Singh Ms. Somya
Published: June 2024

The NO-soluble guanylate cyclase (sGC)-cyclic guanosine monophosphate (cGMP) pathway regulates cardiovascular function and is disturbed in heart failure (HF), resulting in diminished protection against myocardial damage. In HF, impaired NO-sGC-cGMP signalling is caused by decreased NO bioavailability and an altered redox state of sGC, which makes it less sensitive to NO. Cinaciguat, a sGC activator, raises cGMP levels by direct NO-independent sGC activation and may be especially beneficial under settings of increased oxidative stress and endothelial dysfunction, and therefore lower NO levels, at the price of an increased risk of hypotension. sGC stimulators, on the other hand (riociguat and vericiguat), increase sGC sensitivity to endogenous NO, resulting in a more physiological effect. The review focuses on the complete drug profile of Vericiguat.
THE CAUSAL IMPACT OF RUSSIA-UKRAINE WAR OF OIL PRICES AND CLEAN ENERGYMARKETS: PRE-POST PERIOD ANALYSIS
Authors: Amine Mouffok Mohammed , Souar Youcef , Mouffok Omar , Derbal Amina
Published: June 2024

This chapter aims to analysis the pre-post period causal impact of Russia-Ukraine war of oil and clean energy markets,usingcausal impact inference model,theenergy market proxied by brent oil,solar, wind, biofuels and geothermalenergymarket, in the period 2013-2023.The findings indicate that Russia-Ukraine war had an average significant positive impact of 0.51% on oil prices and clean energy markets, where increase of the energy market remains inside the 95% confidence interval during the war. These findings provideimportant insights for investors, policy makers and other energy markets participants.
DOMESTIC ENERGY EFFICIENCY THE ROLE OF INTELLIGENT DEMAND RESPONSE IN SMART GRIDS
Authors: Muthu V. Umayal , Shunmugalatha Dr. A. , Devaki M. , Saranya R.
Published: June 2024

The demand for electrical energy has increased significantly, making it difficult not only to produce it but also to distribute it. As a result, grid complexity is increasing due to growing demands on issues of accountability, efficiency, security, and environmental and energy sustainability. These features help make the grid smarter, today known as the “Smart Grid” concept. This is an abstract approach in which all the beneficial features are implemented to expand the power distribution network. Smart grids, with alternative solutions and multiple perspectives on the power distribution sector, were introduced. Additionally, it is important to note that although these technologies are evolving, they have great potential to promote and strengthen distribution systems.
PREPAID ENERGY METER
Authors: Rengaraj T , Ramasamy S , Sambooranalaxmi S , Kumar Dwibedi Rajat
Published: June 2024

A prepaid digital energy meter through GSM (Global System for Mobile Communications) capability is a type of electricity meter that permit clients to pay for their electricity in advance and remotely, using their mobile phones or computers. The GSM capability enables the meter to communicate with the power utility company, allowing customers to receive real-time updates on their energy usage, account balances, and recharge options. The meter is equipped with a SIM card that enables it to communicate with the power utility company's servers through a mobile network. Customers can purchase electricity credits by sending an SMS message or by using an online payment system. Once the payment is processed, the meter is automatically credited with the purchased amount of electricity.