bluuebunny/crossref_metadata_2025 huggingface dataset:
Dalcroze Eurhythmics-based music and movement training in transitional care brain injury patients: A feasibility study
Authors: Kang Hyun Gu , Velazquez Veronica , Hino Shoko , Rosario  Emily R.
Published: June 2024

Cognitive and motor impairments from brain injury are associated with sedentariness, falls and depression. We determined whether group-based multitask training based on Dalcroze Eurhythmics (DE) is a feasible tool to engage motor, cognitive, cardiovascular and affective function in individuals with a brain injury. Transitional care patients with traumatic brain injury or stroke were recruited from a rehabilitation hospital. The DE intervention took place for 50 minutes a day, twice a week, for 6 weeks, and included activities based on musical cues that required the use of memory, attention, coordination and balance. Typical DE activities were modified for this population. Affect, postural control, cognitive function and cardiovascular fitness were assessed before and after. Seven males aged from 23 to 71 completed the pre-test. Three used mobility aids. Six participated in the intervention, and three completed the post-test. Dropouts were due to transportation difficulty, concerns regarding medical insurance unrelated to the study, the lack of support from the staff and family, and the discomfort of being paired with another male for activities. In the three who completed the post-test, no measurable changes in function were found. A programme of longer duration may be needed to improve clinical outcomes. DE was a feasible intervention for a group of mixed physical function brain injury patients. This was facilitated with assistants to provide social variety. Adherence was high (67%). Participants responded well to the use of props and recorded music of their choosing.
Insect Pollinators of Buckwheat (Fagopyrum Esculentum) From District Ghanche, Gilgit Baltistan
Authors: RIAZ HUSSAIN  , MUHAMMAD ALI  , ZERSHINA MARYAM  , MEHDI HASSAN SHEHBAZ  , SAKHAWAT ALI  , MUHAMMAD HASSAN  , AKMAL ALI
Published: June 2024

Current study was initiated to investigate the insect pollinator fauna of Buckwheat crops at high elevations of District Ghanche, Gilgit Baltistan. In total, 507 specimens were collected during active flowering seasons of crop and yielding 17 species under 13 genera of 7 families belonging to three orders viz, Hymenoptera, Diptera and Lepidoptera. Order Hymenoptera includes family Formicidae, Apidae and Vespidae, Diptera includes Syrphidae, Calliphoridae and Muscidae while Pieridae belonged to order Lepidoptera. Most interesting information related to this research is that Pieris brassicae is considered as a pest, but it played major role in pollination of Buckwheat and not documented as a pest. No pest is recorded during whole research period.
Innovation in Vaccines for Infectious Diseases in Pets and Livestocks
Authors: ADIL SHAHZAD  , AMMARA ZULQARNAIN  , SAFDAR AMAN  , AMAN ULLAH  , MUHAMMAD JUNAID  , MUHAMMAD HUZAIFAH KHALID  , ZAIGHUM ALI  , IRTAZA HUSSAIN  , MUHAMMAD AZWAR AZIZ CHISHTI
Published: June 2024

This article summarises the current state of veterinary vaccines for animals and pets, as well as their significance and recent developments. The use of veterinary vaccines is vital to the food industry and public health because they protect the well-being and productivity of animals. This article emphasises the value of vaccinations in preventing and controlling zoonotic illnesses and other infectious diseases in animals. Preventing the spread of viral illnesses at the animal-human interaction is emphasised, and the article goes on to talk about the monetary effects of disease control efforts. The article goes on to discuss the several kinds of veterinary vaccines, such as the traditional live and inactivated virus vaccines, DNA vaccines, genetically engineered virus vaccines, molecularly specified subunit vaccines, and live viral vector vaccines. Additionally, it addresses vaccines against helminths and ectoparasites, allergies, cancer, protozoa, and bacteria in animals.
Exploring the Feeding Dynamics: A Review of Hay Utilization in Ruminant Nutrition
Authors: MAAZ REHMAN  , MUHAMMAD FAIZAN  , MUHAMMAD ARIF
Published: June 2024

Hay remains a fundamental component of ruminant diets across the globe and was introduced to conserve extra forage from grasslands for the use of livestock in the months of fodder scarcity and winter season. Both grasses and legume crops can be converted into hay, but the choice largely depends on the type of livestock farmers keep. Many studies have shown that good fertilizer management, tillage practices and seed rate affect the protein content, energy yield and digestibility parameters of the hay. This review explores the complex dynamics of hay utilization within the context of ruminant nutrition and the impact of hay quality on rumen fermentation, nutrient digestibility and overall animal performance. Factors influencing hay intake, such as physical characteristics and processing methods are also discussed. Additionally, strategies to optimize hay utilization, including supplementation and hay blending are also discussed. Furthermore, areas of future research direction to enhance understanding of hay role in ruminant feeding systems are highlighted in the article.
Modern Chinese poetry: problems of study
Authors: Крашенинников А.Е. , Нарбут Е.В. , Щептева В.Э.
Published: June 2024

в статье рассматриваются основные характерные черты современной китайской поэзии. Время её возникновения по мнению разных исследователей варьируется от 1916 г. (написание поэтом Ху Ши стихотворения «Бабочка») до 1919 г. (сборник поэта Ху Ши «Эксперименты» и Движение 4 мая). Однако привязка новой китайкой поэзии к тому или иному событию выглядит уже общим местом. В связи с проявлением нового интереса к современной китайской поэзии в обществе, в частности китайском, возникли вопросы, главным из которых является: «Как войти в художественный мир современной китайской поэзии?» Все стихотворения имеют общие аспекты оценки, подобно образам, чувствам, ритму и т.д. Но мир не стоит на месте, меняются общественные порядки, а вместе с ними поэзия. Она приспосабливается к условиям жизни современного китайца и отражает его дух и мысли. Поэтому при чтении и оценке новой поэзии необходимо особенно обращать внимание на особенности её формы. Только на основе знания и понимания этих особых форм можно корректировать «менталитет» и модель чтения. В результате анализа были выделены характерные черты современной китайской поэзии: использование байхуа, «современное» настроение, особая образная структура, философский подтекст, модели сочетаний лирического и повествовательного.

the article examines the main characteristic features of modern Chinese poetry. The time of its origin, according to different researchers, varies from 1916 (the writing of the poem “Butterfly” by the poet Hu Shi) to 1919 (the collection of the poet Hu Shi “Experiments” and the May 4th movement). However, linking new Chinese poetry to one or another event seems to be a commonplace. In connection with the manifestation of new interest in modern Chinese poetry, questions have arisen in society, in particular Chinese, the main one of which is: “How to enter the artistic world of poetry?” All poems have common aspects of appreciation, like imagery, feeling, rhythm, etc. But the world does not stand still, social orders change, and poetry along with them. It adapts to the living conditions of modern Chinese and reflects his spirit and thoughts. Therefore, when reading and evaluating new poetry, it is necessary to especially pay attention to the features of its form. Only on the basis of knowledge and understanding of these special forms can the “mentality” and reading model be adjusted. As a result of the analysis, the characteristic features of modern Chinese poetry were identified: the use of baihua, a “modern” mood, a special figurative structure, philosophical overtones, patterns of combinations of lyrical and narrative.
Functional capabilities of young cyclists of the Syrian national road racing team in the preparatory period of the annual cycle of the training process
Authors: Али А.М. , Мохаммед М.Т. , Прокопьев Н.Я.
Published: June 2024

в статье представлены результаты изучения частоты сердечных сокращений (ЧСС, уд/мин) у 10 юношей 19,3±0,6 лет сборной команды Сирии по шоссейным гонкам в подготовительном периоде годичного цикла тренировочного процесса. Авторами для оценки функциональные возможности сердечно-сосудистой системы использован тест ступенчато возрастающей нагрузки с лактатом на велоэргометре. Цель исследования – определить значения анаэробного и аэробного порогов по лактату крови после физической нагрузки для оценки функциональных возможностей велосипедистов на выносливость и построения зон тренировочных нагрузок. Динамика значении лактата выстраивалась на основе его концентрации в образцах крови с помощью теста ступенчато возрастающей нагрузки «до отказа» на велоэргометре. Для контроля и планирования тренировочный нагрузки были изучены: лактат при каждом уровне дозированной физической нагрузки; частота сердечных сокращений в конце каждого уровня физической нагрузки, мощность каждой физической нагрузки (ватт). Полученная за 14 недель тренировочных занятий динамика ЧСС показала, что средне групповые значения ЧСС аэробного порога возросли со 157,7±1,61 уд/мин до 159,5±1,67 уд/мин. ЧСС анаэробного порога увеличились со 169,6±1,8 уд/мин до 173±2,1 уд/мин, что обусловлено повышением аэробных возможностей организма юношей и свидетельствовало об грамотном построении тренировочного процесса.

the article presents the results of a study of heart rate (HR, beats/min) in 10 young men 19.3±0.6 years old from the Syrian national road racing team in the preparatory period of the annual cycle of the training process. The authors used a test of stepwise increasing load with lactate on a bicycle ergometer to assess the functionality of the cardiovascular system. The purpose of the study is to determine the values of anaerobic and aerobic thresholds for blood lactate after physical activity to assess the functional capabilities of endurance cyclists and construct training load zones. The dynamics of lactate values were built on the basis of its concentration in blood samples using a stepwise increasing load test “to failure” on a bicycle ergometer. To control and plan training loads, the following were studied: lactate at each level of dosed physical activity; heart rate at the end of each exercise level, power of each exercise (watts). The dynamics of heart rate obtained over 14 weeks of training sessions showed that the group average aerobic threshold heart rate values increased from 157.7±1.61 beats/min to 159.5±1.67 beats/min. The heart rate of the anaerobic threshold increased from 169.6±1.8 beats/min to 173±2.1 beats/min, which was due to an increase in the aerobic capabilities of the young men’s body and indicated a competent structure of the training process.
Approaches to speed and strength training of basketball students at a technical university
Authors: Комлев М.А. , Гвоздева К.И. , Пахомов В.И. , Сунь Х.
Published: June 2024

представленные результаты исследования посвящены процессу воспитания скоростно-силовых показателей у студентов технического вуза. Скоростно-силовые показатели являются ведущими в результативности игровой деятельности в баскетболе. Проблематика совершенствования уровня скоростно-силовых способностей у студентов технического вуза заключается в большом объеме и сложности учебного материала, изучаемого в течении учебного дня. Так же в процессе исследования решались следующие задачи: - поиск средств наиболее эффективных для воспитания скоростно-силовых способностей; - оценка эффективности использования средств для воспитания скоростно-силовых способностей; Полученные в ходе исследования результаты имеют практическое значение и могут быть использованы при организации учебно-тренировочного процесса со студентами баскетболистами обучающихся в технических вузах, а также при организации учебного процесса по элективному курсу «Баскетбол».

the presented research results are devoted to the process of educating speed and strength indicators among students of a technical university. Speed and strength indicators are leading in the effectiveness of playing activity in basketball. The problem of improving the level of speed and strength abilities of students of a technical university lies in the large volume and complexity of the educational material studied during the school day. The following tasks were also solved during the research process: - search for the most effective means for the education of speed and strength abilities; - assessment of the effectiveness of the use of funds for the education of speed and strength abilities; The results obtained in the course of the study are of practical importance and can be used in organizing the educational and training process with basketball students studying at technical universities, as well as in organizing the educational process for the elective course "Basketball".
Pengembangan Aplikasi Sastra Lisan (Lawas) Khas Sumbawa Berbasis Android
Authors: Ilmiah Zaddwi Jiwa , Esabella Shinta
Published: June 2024

Oral Literature (Lawas) or more commonly referred to as folk poetry, is an expression that continues to grow among the people of Sumbawa to this day. It is used as a means to express feelings to someone, either individually or in groups. This research aims to develop an Android-based Sumbawa Typical Oral Literature Application that aims to produce a more attractive appearance with additional audio and video features in the delivery of old. The data collection methods used are interview methods and literature studies. This application was built using the waterfall software development method, with Unifield Modeling Language (UML) modeling, laravel framework and dart language flutter and black box testing. The results of this study are old oral literature applications with a web system for admins and android for users. It is hoped that the development of this application can help maintain and disseminate the old poetry tradition of the Sumbawa region and help the field of Sumbawa district cultural services in preserving Sumbawa culture.
A COMPREHENSIVE SURVEY ON MACHINE LEARNING AND DEEP LEARNING APPLICATIONS IN INTERNET-OF-THINGS: CURRENT DEVELOPMENTS AND FUTURE PROSPECTS
Authors: Patra Gyana Ranjan , Mahapatra Shakitjeet
Published: June 2024

Machine learning and deep learning are two distinct subfields within the domain of artificial intelligence that have found extensive applications across diverse disciplines, including but not limited to computer vision, natural language processing, speech recognition, and robotics. Nevertheless, the conventional approaches to machine learning and deep learning frequently encounter difficulties when confronted with the vast data produced by Internet of Things (IoT) devices, including sensors, cameras, smartphones, and wearables. Hence, an increasing demand arises for the creation of novel methodologies and frameworks capable of harnessing the capabilities of machine learning and deep learning in order to facilitate intelligent and efficient IoT applications. This paper presents a comprehensive examination of the present state-of-the-art and forthcoming developments in machine learning and deep learning as applied to IoT applications. In this paper, we commence by presenting a comprehensive overview of the fundamental concepts and principles underlying machine learning and deep learning. Subsequently, we proceed to examine a selection of notable applications of these methodologies within the context of IoT scenarios, encompassing domains such as smart home, smart city, smart health, and smart industry. The primary challenges and outstanding concerns that require attention in this burgeoning industry are also deliberated upon, including but not limited to data quality, security, privacy, scalability, and interoperability. In conclusion, this study emphasises potential avenues and prospects for further investigation and advancement in the domain of machine learning and deep learning as applied to IoT applications.
ENHANCING BIOMEDICAL IMAGE CLASSIFICATION: EXPLORING VARIOUS CLASSIFIERS FOR ACCURATE ANALYSIS
Authors: Das Jaya Bijaya Arjun , Behera Debasmita
Published: June 2024

The primary focus of this study revolves around enhancing disease diagnosis, analysis, and detection through optimized models, particularly for biomedical images. In the medical field, professionals heavily rely on pathological reports for diagnosis. However, visualizing these reports can greatly aid doctors in their diagnostic process. This research specifically aims to develop a streamlined model for swift analysis and diagnosis. The study encompasses data related to Brain Tumors, Skin Cancer, Liver Disorders, and Breast Cancer. The methodology involves several steps: starting from raw data, utilizing Convolutional Neural Networks (CNNs) for image data, extracting features from the data, and optimizing these features for machine learning models. The machine learning algorithms employed in this research include the k-nearest neighbors' algorithm (KNN), Random Forest (RF), and Support Vector Machine (SVM). These algorithms are evaluated across all cancer types under consideration. Distinct accuracies are observed from different machine learning classifiers. Notably, CNN, unlike other models, does not rely on external features due to its intrinsic capability for feature extraction, selection, and integration. On the other hand, for the other machine learning techniques, feature acquisition is crucial for the classifier model. In certain cases of cancer data, Support Vector Machine (SVM) demonstrates higher accuracy, while CNN performs best when external features are not utilized. Interestingly, through the process of Brain Storm Optimization (BSO), optimizing features and applying them to the SVM model yields exceptional results compared to alternative methods
A REVIEW ON SOFT COMPUTING APPROACHES FOR OPTIMAL ECONOMIC LOAD DISPATCH IN MICROGRIDS
Authors: Jain Anil Kumar , Gidwani Dr. Lata
Published: June 2024

This article examines the utilization of soft computing techniques to enhance the optimization of economic load distribution within microgrids. Microgrids, with their distributed energy resources (DERs) and localized energy management, offer promising solutions for resilient and efficient power systems. However, the complex and dynamic nature of microgrids, along with uncertainties in renewable energy sources (RERs), challenges traditional optimization techniques. Soft computing methods, such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and Differential Evolution (DE), have demonstrated their ability to handle non-linear and multi-objective optimization tasks. This review explores the benefits and limitations of soft computing techniques in microgrid economic load dispatch, highlighting their potential for enhanced economic benefits, reduced carbon footprints, and improved grid stability. The study underscores the need for tailored approaches to maximize the potential of soft computing in microgrid optimization and presents valuable insights for researchers and practitioners in the field
AZETIDINONE DERIVED DRUGS: BIOLOGICAL SIGNIFICANCE AND THEIR FUTURE SCOPE IN CHEMICAL SYNTHESIS
Authors: Mahapatra Monalisa , Pakeeraiah Kakarla , Mekap Suman Kumar , Paidesetty Sudhir Kumar
Published: June 2024

Drug discovery and chemical synthesis have been globalizing the pharmaceutical market. The process of drug discovery takes along many stages of drug development viz., targeting a disease, repurposing an existing drug, conjugating obsolete drugs with natural compounds, searching for different receptors for specificity and rationality, and finally testing the toxicity before exposing it tothe clinical trial. This long path from targeting to clinical trial takes many efforts of scientists and chemists. When entering into the drug development core, the heterocyclic compounds were ruling the world by their swiftness in reaction mechanism and displaying good pharmacological activity. Focusing on the heterocyclic compounds, β-lactam is a well-known pharmacophore being accepted for many existing drugs viz., Penicillin, cefixime, cefalixine, and other derivatives of penicillin. The congeners of 2-azetidine were also known to possess numerous biological actions viz., antitubercular, anti-inflammatory, anticancer, antidiabetic, antipsychotic, anti-inflammatory,and vasopressin via antagonist activities
DFT STUDY OF THE INTERACTION BETWEEN ACETYLSALICYLIC ACID AND N,N-DIMETHYLFORMAMIDE
Authors: Saikia Jyotshna , Devi Th. Gomti , Karlo Tado
Published: June 2024

The complexation of Acetylsalicylic acid and N, N-Dimethyl formamide is studied under Density Functional Theory (DFT) calculations by implementing B3LYP hybrid functional and the standard 6-31G (d,p) basis set. The intermolecular hydrogen bonds (O2−H21∙∙∙O22 and C11=O3∙∙∙H33) are formed between the two monomers, validated by NBO study. The nature of the interaction is characterized using AIM analysis. The reactive regions of the complex are studied by means of MEP plot. The HOMO-LUMO gap (5.59 eV) of the complex bespeaks its bioactive nature
FROM CODE TO CURE: HOW INFORMATICS IS TRANSFORMING HEALTH CARE
Authors: Pamnani Ms. Tamanna , Kalra Dr. Aakanksha
Published: June 2024

he dynamic nature of the healthcare industry demands the development of novel approaches that enhance patient care, optimise operational processes, and increase overall health results. This chapter explores the evolving domain of medical and health informatics, with particular emphasis on the incorporation of information technology (IT) into the healthcare ecosystem. The proper utilisation of information technology (IT) emerges as a critical driver driving positive change as healthcare systems globally undergo transition. These sections encompass several topics within the field of health informatics, such as Electronic Health Records (EHRs), Telemedicine and Remote Monitoring, Clinical Decision Support Systems, Big Data and Analytics, Artificial Intelligence and Machine Learning, Data Security, and Privacy in Health Informatics. The text explores the capacity of these innovations to transform the provision of healthcare, enhancing its focus on patients, streamlining operations, and using data-driven approaches. The chapter utilises real-world case studies and examples to demonstrate the effective incorporation of information technology (IT) into healthcare environments. These instances serve to emphasise the practical advantages, obstacles, and prospective advancements within the area. In summary, this book chapter highlights the increasing importance of integrating IT technology in the field of medical and health informatics. This integration is crucial in creating a healthcare system that is more interconnected, driven by data, and focused on the needs of patients. This publication is of utmost importance for individuals working in the healthcare field, doing research, formulating policies, and those with a vested interest in the advancement of healthcare delivery.
RECOMBINANT DNA: GENETIC TOOLKIT FOR INNOVATION AND PROGRESS
Authors: Chaturvedi Megha
Published: June 2024

Recombinant DNA is a type of DNA that has been combined from several sources. It can be created by genetic recombination or molecular cloning. Restriction enzymes cut DNA molecules at specific sites to create recombinant DNA molecules. These enzymes are critical tools in molecular biology and genetic engineering. Emerging developments like synthetic biology promise to engineer organisms with new functionalities, while precision genome editing through CRISPR-Cas9 offers potential solutions to genetic diseases. However, public perception, ethical considerations, and regulatory frameworks must be navigated to ensure responsible use. Environmental impact, intellectual property concerns, and global collaboration are key challenges that require attention. To harness the potential benefits of this technology while mitigating risks, society must prioritize transparent communication, ethical reflection, and sustainable practices. In summary, the chapter provides a comprehensive understanding of recombinant DNA technology's foundation, restriction enzymes' role as molecular scissors, methods of DNA preparation, and the significance of genomic libraries. The elucidation of key terms and processes lays the groundwork for comprehending the transformative impact of recombinant DNA technology in genetics and biotechnology.
CONVERGENCE OF ARTIFICIAL INTELLIGENCE AND IOT: A BOOM
Authors: Chaware Dr. S.M. , Bhosale Prof. Rohini , Jadhav Prof. Ashvini , Chaware Dr. T.S.
Published: June 2024

The merging of Artificial Intelligence (AI) and Internet of Things (IoT) forms a revolutionary partnership that is reshaping industries and influencing our global landscape. To begin with, it delves into the intricate dynamics between these two innovations, unveiling their mutually beneficial connection. With capabilities ranging from data collection and real-time decision making to predictive analysis and energy conservation, AI processes the extensive data generated by IOT devices, transforming it into valuable insights. This collaboration extends to healthcare, security, and other domains, as AI-empowered IoT devices facilitate remote patient monitoring and proactive threat identification. Nevertheless, ethical and privacy considerations arise as these technologies remodel our existence. Moving onto the essential domains where AI and IoT intersect, fostering ingenuity throughout industries. Customized AI-generated insights enhance smart home automation, industrial IoT, and healthcare, whereas transportation, agriculture, and energy administration profit from refined resolutions. This collaboration further reaches into realms like entrainment and education, crafting immersive encounters and tailored learning trajectories. Nonetheless, assuming data privacy and upholding ethical concerns proves to be a hurdle. The fusion of Ai and IoT presents the potential to mold a more intelligent and effective world, necessitating a meticulous equilibrium between pioneering advancement and ethical duty.
GENEALOGY OF DISCRIMINATION AND CRITIQUE OF CASTE IN THE SELECT INDIAN LITERARY REPRESENTATIONS
Authors: Maholkar Santosh Govindrao
Published: June 2024

The purpose of this paper is to articulate the genealogy of discrimination and arbitrary caste-based inequality in the light of Indian literary and cultural (con)texts. Thus the paper problematizes the issue of the discrimination in Indian literary and cultural representations, right from the time of great Indian epic The Mahabharta (Eklavya, Karna, Barbarik/Belarsen and other life stories) through the medieval reformist Bhakti poetry to the modern time. In short the paper addresses the following research questions. •In what ways do the study of literary explorations and cultural representations of discrimination based on race, varna, caste, class, gender, religion and age contribute in forming, reforming and transforming Indian society from ancient time to present? •How have the ancient, medieval as well as modern representations of discrimination in form of Indian epics, Bhakti (Reformist) poetry, films and literature dealt with themes of varna-based discrimination, spiritual inequality, and caste-based injustice through untouchability, marriage, and law? •How the issue of caste discrimination/inequality has systematically been addressed by Indian radical enlightenment thinkers like; Saint Tukaram, Kabir, Jotirao Phule, B. R. Ambedkar, and Aniket Jaaware through their Abhangas, Dohe, speeches and writings? •Why can’t we do away with the practice of caste discrimination in India as being treated human beings without any labels? How long will there be varna/caste-based prejudices, discriminations and injustices in the Indian society? •How can we (re)articulate an imagined workable future of India as a casteless society? The issue of unequal treatment in the form of unjustified discrimination has been illustrated with reference to the stories from the great ancient text The Mahabharata. Secondly the idea that we all (as human beings) are one and same, and therefore discriminating on the basis of race, varna, caste, class, gender, religion is inauspicious (अमंगल) has been elaborated with medieval reformist Indian Bhakti poetry of Saint Kabir and Tukaram. And finally, the caste/caste-based discrimination (injustice) has been studied with new lens provided by Jyotirao Phule, B.R. Ambedkar, Annabhau Sathe and Aniket Jaaware.
CROSS-CULTURAL COMMUNICATION
Authors: Sneha Ms. , Chugh Dr. Pinki
Published: June 2024

This chapter explores the complexities of cross-cultural communication within the context of language and literature. It delves into the concept of culture and its dimensions, highlighting how these elements shape literary expressions. The analysis then moves on to interpreting multicultural texts, emphasizing the challenges of language differences and cultural nuances. The chapter further examines the relationship between language and identity in cultural literature, showcasing how language is a tool for self-expression and identity formation. Finally, it explores the role of media and technology in facilitating cross-cultural communication, while acknowledging the potential pitfalls of misinterpretation and stereotyping. In conclusion, the chapter emphasizes the significance of cross-cultural communication in fostering understanding and appreciation for diverse literary traditions and cultural perspectives.
UNDERSTANDING TAMIL GODS AND CONTEXTUALIZING RELIGIOUS CUSTOMS IN PERUMAL MURUGAN’S ONE PART WOMAN
Authors: Ghosh Dr. Utsarga
Published: June 2024

This paper foregrounds the Hindu mythological scenario in general and Tamil Gods and legends in perticular. It attempts to make a detailed investigation of the presence of Gods and Goddesses on social and religious space and their impact on human lives from Indian perspective. Besides, it contextualizes Perumal Murugan’s most controversial text One Part Woman in order to understand and evaluate the effect of religious belief over lower middle class and rurual household. Both the lives of the author and the characters in the text have gone through the whirlwind of religious sentiments, moral policing of the society, and public censorship.
BEYOND CONVENTIONAL METHODS: MACHINE LEARNING APPROACHES FOR ADVANCING WIRELESS NETWORK PERFORMANCE
Authors: Priya Dr. C Krishna , Latha Dr. P Suma , Shaik Nazeer
Published: June 2024

Wireless networks are experiencing unprecedented growth and demand for high-performance services in various applications. To meet these challenges, researchers have turned to machine learning (ML) techniques to enhance the performance of wireless networks beyond traditional rule-based methods. This paper presents a comprehensive study of ML techniques for performance enhancement in wireless networks. We conduct a literature survey to review existing ML-based solutions and identify their strengths and limitations. Building on the insights gained, we propose a novel system that leverages deep learning, reinforcement learning, and generative adversarial networks (GANs) to address critical performance bottlenecks. The methodology section outlines the technical implementation and experimental setup of the proposed system. Through extensive simulations, we evaluate the performance of our approach, comparing it with existing ML-based techniques and conventional methods. The results demonstrate the effectiveness of our proposed system, showcasing higher throughput, lower packet loss, reduced latency, and improved energy efficiency. The findings affirm the potential of machine learning techniques in revolutionizing wireless network optimization, paving the way for more intelligent and efficient communication systems.
CITRUS AND ITS BIOACTIVE COMPOUNDS: A POSSIBLE ALTERNATIVE SOURCE FOR ANTIMALARIAL DRUGS
Authors: Bhowa Rony , Roy Puja , Baisya Torali , Singh Rishi Raj
Published: June 2024

Malaria is a parasite disease that can be fatal and is quite common in tropical and subtropical areas of the world. Five species of plasmodium, including Plasmodium falciparum and Plasmodium vivax, are primarily responsible for the incidence of sickness. Numerous artemisinin and chloroquine-resistant plasmodium strains have recently been identified as a result of widespread medication use. Plant bioactive chemicals target many plasmodium cellular and metabolic pathways. Citrus' importance in pharmacology and medicine has long been established. The method of treating malaria, however, has not yet been examined. Thus, the ability of citrus to prevent malaria is explained.
REAL TIME FACE RECOGNITION AND DETECTION USING DEEP LEARNING ALGORITHM
Authors: Gayathry D. , Latha Dr. R.
Published: June 2024

Nowadays, face recognition is a reliable and accurate access control technique which is used along with other biometric methods. Face recognition is a process of recognizing the face sample of particular person from the set of face samples stored in the system. It can be done by converting images into digital binary representation to extract features using various techniques. In this paper, we propose
FUTURISTIC TRENDS IN SHALAKYA TANTRA
Authors: Shankar Prof. Udaya
Published: June 2024

Shalakya Tantra, a specialized branch of Ayurveda, is dedicated to managing diseases of the precious sense organs, incorporating diagnostic skills from ophthalmology, otorhinolaryngology, and dental sciences. The field has witnessed significant advancements, with the adoption of new techniques for administering herbal compounds to the eyes through Kriyakalpas such as Anjana, Pariseka, Tarpana, Vidalanka, and more. Challenging ear diseases find effective treatment through procedures like Karna Purana and Dhupana. Moreover, neurological conditions, often considered incurable, are addressed using Marma Chikitsa, Agnikarma, Kshara Karma, and Rakta Mokshana following standard operative principles and methods. Oral diseases are treated with the wealth of traditional herbal formulations, both topical and internal. As Shalakya Tantra continues to evolve, its fusion of traditional wisdom with modern techniques shows great promise in enhancing overall patient well-being.
ARTIFICIAL INTELLIGENCE – PAVING THE PATH FOR PREDICTIVE MODELLING IN PUBLIC HEALTH
Authors: Agarwalla Dr. Rashmi , Bhattacharyya Dr. Himashree , Chakraborty Dr. Subhrajeet , Khandelwal Dr. Ankur
Published: June 2024

As the 21stcentury unfolds, artificial intelligence (AI) has emerged as a transformative force that is reshaping industries, augmenting human capabilities, and facilitating awe-inspiring innovations. At its core, AI seeks to replicate human intelligence within machines, enabling them to learn, reason, and make decisions, paving the way for a future that was once confined to the realms of science fiction. As societies around the world grapple with complex health issues, AI is emerging as a potent tool that not only aids in diagnosis and treatment but also enables proactive measures through predictive modelling (PM).A pivotal aspect of AI, PM involves creating algorithms that learn from historical data to forecast future trends, enabling health authorities to proactively address potential crises. This chapter seeks to provide a basic understanding of the PM types, its working principle and its role in addressing the issues of public health. In addition, this chapter also addresses the ethical concerns associated with AI.
PROMOSING BIOMASS-BASED BIO-BUTANOL PRODUCTION TECHNOLOGIES; IMPROVEMENT AND RESEARCH TRENDS
Authors: Katyal Dr. Nidhi
Published: June 2024

There are proposed many ways to produce the four carbons Alcohol from different starting Feed stock and substrates, bio-substrates, and microorganisms biologically prepared/synthesized bio-butanol and for enhancements regularly from one and half-century overcoming a challenge by various researchers. In this chapter, the characteristics and uses of bio-butanol, it’s all proper ties are compared with other fuels, feedstock, their types, and usages biomass research is briefly discussed to show feasibility and use of the metabolic pathway. Also, species and various genetically modified strains are created with different feedstock and provide a better yield than bio-ethanol. Some fermentation techniques their applications and models are essential in the prediction of outcomes. Also, some required methods in Pretreatment, their feasibility techniques for various feedback were mentioned. The yield of bio-butanol in each process is calculated with limitations. Various other enhancements are going on for better work, thereby improving biotechnological advancements, or genetic engineering is also done accordingly.
GREEN TECHNOLOGY AND SUSTAINABLE DEVELOPMENT: ADVANCEMENT AND STRATEGIES
Authors: Kabalsingh Tank Sinderpal , Kaur Dr. Mandeep
Published: June 2024

Traditional energy sources are responsible forreleasing harmful pollutants and hazardous gases in the atmosphere.One of the most promising strategies to save the environment is to replace conventional energy with renewable energy sourcesthat are obtained from the sun, wind, water, tides, and geothermal. The main impediment to renewable energy systems is uninterruptible energy generation especially electrical energy. The latest trend in research is also focused on developing novel methods to generate electrical energy from renewable sources. Lot of funding from government agencies is also available to promote research in these areas to tackle energy security issues and climate change. Such innovative routes have the potential to save about 30% of energy with 80% lower prices thereby reducing global warming. This is also viable andcost-effective way to achieve long-term growth and environment sustainability.
OVERVIEW OF RECENT ENVIRONMENTAL CATALYTIC MATERIALS
Authors: Vasantha V. T , Madhusudhan C. K , Praveen Kumar R. S , Venakatesha Mr. , Shamshuddin SZM
Published: June 2024

This chapter encompasses a brief introduction to catalytic technology, an overview of the various aspects of the present study, and a review of published and patented literature on the alteration of the acido-basic properties of metal oxides, mixed metal oxides and their anion/cation-treated forms, their characterization using a variety of physico-chemical techniques, and their catalytic activity in various organic reactions. Additionally, a review of the use of microwave heating for organic liquid phase reaction that are heterogeneously catalysed is included.
TRAFFIC WARNING AND MID AIR COLLISION SYSTEM FOR AIRCRAFT USING ULTRASONIC SENSOR
Authors: Karthikeyan Mr. J. , Banu T. , Selva Preethi Ms. G.
Published: June 2024

Resolution advisories (RAs), which suggest actions (including manoeuvres), and traffic advisories (TAs), which are meant to encourage visual acquisition and serve as a precursor to RAs, are used to achieve this. ACAS was created to supplement the current conventional air traffic control system's collision avoidance capabilities while eliminating unnecessary alarms in encounters where the risk of a collision does not call for escape maneuvers. ACAS doesn't rely on any ground-based systems to function.
NANOROBOTICS: A NOVEL APPROACH IN THE DRUG DELIVERY SYSTEM OF CANCER CHEMOTHERAPY AND ITS APPLICATION
Authors: Kashyap Saurabh R Mr. , Panchwagh Mayuri P Miss.
Published: June 2024

One of the most awaited developments in the area of health care is the development of nanorobotics, which consists of complex submicron devices made of nanocomponents. It has a promising future in the field of medicine administration for cancer, the main cause of death for those under 85 years old. To kill cancer cells without damaging healthy cells, nanorobots might distribute and spread enormous volumes of antineoplastic drugs. This would lessen the negative effects of conventional therapies like chemotherapy. Due to close cooperation among professionals in medicine, nanorobotics and nanotechnology, the finished product of this invention will significantly affect disease detection, therapy, and prophylaxis. Modern technological advancements have made it possible to experiment with building nano-robotic devices and connecting them to the larger world for control. Such machines are abundant in nature, and it is possible to create more of them by emulating nature. These nanorobots are now extremely important in the biomedical feild. In particular, cancer, cerebral aneurysm, kidney stone removal, as well as the elimination of the flawed portion of our DNA structure, are some of the therapies that have the more potential to save the lives of people. This paper provides a study on several nanorobot-based cancer therapies. It also sheds light on the potential depth of this field of study.
APPLICATIONS OF NANOFLUIDICS IN DRUG DELIVERY SCIENCE AND TECHNOLOGY
Authors: Das Debasmita
Published: June 2024

Clinical trials and some types of biomedical research have found a wide range of applications for suspensions of different nanoparticles or nanocomposites recently. The term “nanofluid” refers to these useful suspensions that let the nanoparticles spread and behave in uniform, stable environments. The benefits of nanofluids in various biological applications have been highlighted in a number of research works. Reviewed studies that provide a summary of the many biological uses of nanofluids, including diagnostic and therapeutic applications, are rare. Since nanosuspensions are nanofluids containing solid particles, they are the main topic of this review. Nanosuspension is the primary form of nanofluid and finds extensive use. Hence, this work provides succinct information regarding the main biological uses of nanofluids in drug delivery systems, imaging, and antibacterial activity. In order to target medication administration, diagnose hyperthermia, and make differential diagnoses, for instance, magnetic nanofluid systems are a valuable tool. To combat the resistance to antibiotics, nanofluids may also be employed as a possible antibacterial agent. Providing new and practical strategies for success in modern medicine might be a benefit of this study.
REAL-TIME TRAFFIC CONTROL WITH COGNITIVE RADIO ENABLED VEHICULAR NETWORKS
Authors: Ghosh Pranay , Mitra Riddhi , Soumik Podder Dr.
Published: June 2024

Wireless communications are expanding their applications globally thanks to cognitive radio (CR). By interacting with the environment, cognitive radio can modify the transmission parameters and confirm the availability of the electromagnetic spectrum. Opportunistically occupying spectral bands while causing the least amount of interference to other users or apps is the aim. In the automotive industry, a recent development is cognitive radio for Vehicular Ad hoc Networks (CRVs or CR-VANETs). Vehicles of the present and the future will be furnished with features that allow for the transmission of intra-vehicular orders and dynamic access to wireless services while the vehicle is moving. The cognitive radio technology and its signal processing implications for the automotive business are discussed in this article.
CHALLENGING THE STATUS QUO: CULTURAL CONSTRUCTION AND FEMALE IDENTITY IN CONTEMPORARY SOCIETY: A FEMINIST READING OF SHASHI DESHPANDE'S THAT LONG SILENCE
Authors: Chinnaswamy Dr. Vinodhini
Published: June 2024

Shashi Deshpande’s That long silence underscores the challenges encountered by women, particularly Jaya Kulkarni, in a certain social structure. It thoroughly examines the female characters and enforces social norms, expectations, and traditions based on gender discrimination. The research paper analyses Jaya's submissive uprising against the ongoing psychological pressure of patriarchal dominance as well as social and cultural norms. Jaya finds it difficult to find comfort as many of her questions remain unaddressed. At last, with the lapse of time, she accepts the conventional rule of silence and submission, believing that life must always be made possible. she becomes acquainted with her own fate. Deshpande demonstrates her artistic brilliance that highlight the subtle human connections in which women's challenging lives are presented in all their complexity together with the writer's perceptive meanings. This paper aims to reveal Jaya's inner conflict and pain as she strives to construct her own distinctive identity in society.
POSITIVE PSYCHOLOGY & RESILIENCE
Authors: Varghese Dr. Ranjana Mary
Published: June 2024

The intention of this chapter is in the direction of the discussion about the association between positive psychology and resilience. The discipline of resilience, the historical overview of positive psychology and resilience, models of resilience in relation to positive psychology, resilience and trauma recovery, and multicultural considerations in positive psychology and resilience will be examined and discussed. Previous research and literature propose that there is a direct relationship among positive psychology and resilience. The construct of resilience is considered as askill to adequately manage with stressors and is often discussed with positive long-term physical and emotional health outcomes.
ADVANCING BREAST CARCINOMA CARE: THE EVOLVING ROLE OF ACCELERATED PARTIAL BREAST IRRADIATION
Authors: Mishra Dr. Vishwadeep , Bisht Dr. Sudeep , Yadav Dr. Rashmi
Published: June 2024

Accelerated Partial Breast Irradiation (APBI) has emerged as a notable advancement in breast cancer management, offering a targeted radiation therapy approach that focuses on the specific region surrounding the tumor bed. This chapter delves into the understanding of APBI, discussing its techniques, benefits, and potential drawbacks. APBI, administered over a shorter duration than traditional whole breast irradiation, proves advantageous in terms of reduced treatment time and enhanced patient convenience. Indications for APBI include early-stage breast cancer, particularly in patients with low to intermediate risk and those seeking a shorter Treatment course due to age or health considerations. However, the chapter also highlights potential drawbacks and controversies associated with APBI, such as limited long-term data on efficacy and safety, emphasizing the need for careful patient selection. Despite these considerations, APBI remains a promising approach for early-stage breast cancer, with ongoing research expected to refine its role in breast cancer management.