bluuebunny/crossref_metadata_2025 huggingface dataset:
LEVANTAMENTO DA DEMANDA DE REPOSIÇÃO FLORESTAL POR AUTUAÇÕES EM MUNICÍPIOS DO ESTADO DO PARÁ
Authors: Santos Rudyelison Pereira Lobo , Pauletto Daniela , Santos Fábio Guerra , Da Silva Ádria Fernandes , Brito Orlanilson Silva , Pinto Roseane de Siqueira
Published: November 2024

Ao analisar os dados da demanda de reposição florestal, em virtude de autuações realizadas pelo Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis (Ibama) no período entre os anos de 2012 e 2017, nos municípios de Santarém, Rurópolis, Mojuí dos Campos e Placas, localizados no estado do Pará, encontrou-se que os valores de multas variaram de R$ 900,00 a R$ 16.502.211,99 nos quatro municípios avaliados, totalizando uma área afetada de cerca de 25mil hectares. As maiores ocorrências que levaram a autuações por parte do órgão ambiental foram: destruir ou danificar florestas nativas, prestar ou elaborar informações falsas ao órgão fiscalizador e portar e transportar ou comercializar produtos de origem florestal sem licença ou documentação válida. A demanda estimada em volumetria de créditos para reposição foi de 2.500.000.000 m3. Nos autos destacaram-se as seguintes espécies florestais: Manilkara huberi Ducke, Handroanthus albus (Cham.) Mattos, Hymenolobium petraeum Ducke e Hymenaea courbaril L., devido a seus altos valores comerciais e suas características tecnológicas. A maioria dos autos de infração lavrados nos municípios estão relacionados, principalmente, a danos relativos a florestas nativas e foram ocasionados em sua maioria por pessoas físicas, com destaque para o município de Santarém.
ADOÇÃO DE BOAS PRÁTICAS PARA MELHORIA GENÉTICA DA PECUÁRIA BUBALINA NA ILHA DO MARAJÓ, ESTADO DO PARÁ
Authors: De Almeida Everaldo Nascimento , Figueiró Marivaldo Rodrigues , Saraiva Naiara Zoccal , De Moraes Aldecy José Garcia
Published: November 2024

O objetivo do estudo foi avaliar o processo que leva à adoção de kits de boas práticas e execução de inseminação artif cial (IA) utilizadas para melhoria do sistema de criação de rebanhos bubalinos, do município de Cachoeira do Arari, região do Marajó, estado do Pará. Para coleta e análise das informações,utilizou-se a ferramenta Ambitec-Adoção, aplicada a três criadores que previamente participaram das capacitações para o uso das tecnologias. Os resultados apontam que a tradição na criação de rebanhos bubalinos, assim como a mão de obra disponível, foram alguns dos fatores que contribuíram para uma adoçãopotencial das tecnologias. Porém, o desconhecimento sobre os recursos a serem investidos no sistema de criação, acrescentada a ausência de serviços de assistência técnica e extensão rural, afeta a consolidação da adoção das tecnologias transferidas.
How Impactful Tools Like Service Now, Power BI in Financial and Mother Baby Units
Authors: - Sravanthi Mallireddy
Published: November 2024

The combination of ServiceNow and Power BI has emerged as a game-changing strategy for improving operational efficiency and decision-making in financial and mother-baby units. ServiceNow, a prominent service management platform, simplifies IT and business processes, while Power BI enables powerful data visualization and reporting. Together, these tools enable enterprises to acquire significant insights into key performance indicators (KPIs) and operational data, allowing for real-time monitoring, which is critical for financial control and patient care. Creating dynamic dashboards enables stakeholders to better monitor trends, improve service delivery, and optimize resource allocation. Despite their promise, problems exist in the integration process, notably in terms of data extraction from ServiceNow, which is primarily concerned with issue management. As of 2019, enterprises frequently rely on manual data exports or workaround techniques to access large datasets. Nonetheless, the benefits of integrating these platforms are clear, since they boost reporting capabilities and influence decision-making processes. As healthcare organizations continue to use ServiceNow and Power BI, their impact on operational success in financial and mother-baby units is projected to increase, allowing for more data-driven strategies that improve both financial performance and patient outcomes.
Manufacturing Strategies and Processes for ICE, HEV, and BEV Vehicles
Authors: - Amey Phatale
Published: November 2024

The process of building a car in the automotive industry involves several critical stages, including planning, designing, and production, each essential to ensuring product quality and market success. This paper explores the comprehensive approach adopted in car manufacturing, beginning with market analysis and forecasting to understand consumer needs and trends. The design phase leverages advanced software tools to develop components and assembly processes. Production integrates lean manufacturing, Just-in-Time (JIT) methodologies, and automation, focusing on chassis assembly, engine integration, body construction, painting, and final assembly. Different vehicle types, including Internal Combustion Engine (ICE) vehicles, Hybrid Electric Vehicles (HEVs), and Battery Electric Vehicles (BEVs), are discussed, emphasizing their unique production requirements. The paper further details quality control measures to ensure product reliability and compliance with industry standards.
OfferConnect: Location Based Offer Recommendation System
Authors: - Shubham Ghuge , - Dhaval Chheda , - Arya Gupta , - Anand Godbole
Published: November 2024

In the digital commerce era, the significance of customized promotions for individual users has reached new heights.
This research paper introduces an innovative application designed to transform personalized marketing strategies by incorporating a Location-Based Offer Recommendation System (LBORS). The proposed system not only leverages user location data to dynamically recommend offers from nearby shops but
also ensures that customers receive discounts, establishing a win-win situation for both customers and marketers. This approach aims to create a seamless and context-aware shopping experience, enhancing the overall value proposition for users. The system employs a sophisticated algorithm that combines geospatial
analytics, user preferences, and historical data to accurately identify and present relevant offers to users based on their current geographical location. By integrating real-time location information, the application ensures that users receive timely and contextually appropriate promotions, thereby maximizing
the likelihood of engagement and conversion.
Alternate Paradigms of African Literary Discourse through Language
Authors: - Syeda Peenaz Seerat
Published: November 2024

Language serves as a multifaceted tool in African literature, embodying cultural heritage, facilitating communication, and challenging colonial legacies. It often reflects the diversity of Africa’s linguistic landscape, incorporating indigenous languages alongside colonial tongues like English, French, and Portuguese. African writers employ language to preserve oral traditions, express cultural identities, and convey the complexities of post-colonial experiences. Moreover, language acts as a medium for resistance against hegemonic narratives, enabling writers to subvert stereotypes and reclaim narratives previously dominated by Western perspectives. Through linguistic innovation and experimentation, African literature continues to evolve, asserting its significance on the global literary stage while celebrating the richness of Africa’s linguistic heritage. This paper attempts to delineate the diverse paradigms that can emerge about the connotations of colonial African society, apartheid and its portrayal due to alternate discourses of language in texts. By examining the use of language as a tool in Chinua Achebe’s Arrow of God (1964) and Nadine Gordimer’s The Lying Days (1953), this paper delineates how language can portray the same story with different levels of consciousness.
Integrating Transformers into Recommendation Systems: A Hybrid Approach
Authors: - Mitat Uysal , - Aynur Uysal , - M.Ozan Uysal
Published: November 2024

In recent years, recommendation systems have become essential for various industries, from e-commerce to social media. This paper explores the integration of Transformer models within recommendation systems, which enhances the model's ability to capture long-range dependencies in user interactions. We present a hybrid recommendation approach combining collaborative filtering and Transformer-based content analysis. A case study is included, demonstrating how this integration handles both cold-start problems and typical user-item recommendation tasks.
Fertility Transition in India : An inter state analysis (for the period 2011 to 2021)
Authors: - Swarita De , - Aishmeen Kaur Sandhu , - Khushhali Bajaj , - Runuk Jaju
Published: November 2024

This study examines the dynamics of fertility transition across five diverse Indian states - Bihar, Maharashtra, Rajasthan, Kerala and Tamil Nadu- from 2011 to 2021. Fertility transition is a critical demographic process with profound implications for social, economic, and public policy planning. These states were selected due to their varied socio-economic profiles, cultural practices, and regional disparities, offering a comprehensive view of fertility trends in India.

Through the analysis of data obtained from the decennial population censuses, the study identifies patterns, trends, and drivers of fertility change, taking into consideration factors such as education, urbanization, access to healthcare, and economic development. The aim is to unravel the specific pathways through which these states have embarked on their unique fertility transitions, moving towards lower fertility rates and a demographic dividend.
A Case Study on the Application of Evolutionary Algorithms for Solving Non-linear Programming Problems in Water Resource Management
Authors: - Kishore Kumar Choudhary , - Md Zafar Imam
Published: November 2024

Evolutionary algorithms have been proposed and used in this case study for the solution to non-linear programming problems related to water resources. Heuristic, a type of optimization algorithm characterized by population-based search as well as using the genetic algorithms, are used to model and determine the optimal distribution and utilization of aquatic resources based on environmental and demand factors. These materials include examples based on water distribution networks, managing a reservoir, and forecasting demands of customers, demonstrating the effectiveness of the aforementioned algorithms in solving non-linear constraint problems and in dealing with multiple objectives. The comparative analysis is based on a number of simulation experiments to examine the efficiency of such microevolutionary algorithms as Genetic Algorithm, Particle Swarm Optimization, and Differential Evolution in contrast to the traditional optimization algorithms. These results show that there is significant value in using evolutionary algorithms as a basis for managing and modelling water resources as it offers a pragmatic approach and has the potential to meet the demands of the water industry in terms of sustainability, cost and resource requirements. There seems to be considerable scope for extension of these algorithms to a wide range of natural resources management and administration.
Pre-Term Infants with Neonatal Respiratory Distress Syndrome : A Physiotherapeutic Case Study
Authors: - Kamini Singh , - Raj Kumar Sharma , - Jasmine Anandabai
Published: November 2024

Background: A newborn's respiratory distress is frequently caused by neonatal respiratory distress syndrome, or RDS, which usually manifests within hours after birth, usually right after delivery. Term infants are rarely affected by RDS, which mostly affects preterm neonates. Smaller and preterm newborns have a higher incidence of RDS, which is inversely correlated with the infant's gestational age. Although prenatal corticosteroids, surfactants, and sophisticated neonatal respiratory care are among the therapeutic approaches that have improved the outcomes for individuals with RDS, the condition remains a major cause of morbidity and mortality among preterm infants.
Method: Chest physiotherapy manoeuvres are applied at regular intervals every day until the child is discharged.
Conclusion: Early physiotherapeutic interventions have proved to be extremely effective in saving the life of such affected individuals.
The Role of Fake News in Political Campaigns and Elections: A Global Perspective
Authors: - Aanchal Prajapati , - Dr. Govind Kumar , - Prof. Mukul Srivastava
Published: November 2024

In the digital age, the proliferation of fake news has emerged as a critical issue in political campaigns and elections worldwide. This paper examines the multifaceted role of fake news in influencing public opinion and electoral outcomes across various global contexts over a one-year period. It explores the mechanism through which misinformation is disseminated, particularly through social media platforms, and its impact on the democratic process. Employing a combination of qualitative and quantitative research methods, the study analyzes data from multiple countries to understand the pervasive influence of fake news. Is also scrutinizes the efforts taken by governments, civil societies, and media organizations to combat the spread of false information. The findings reveal a complex interplay between fake news, media literacy, and political propaganda, underscoring the challenges faced in safeguarding electoral integrity. This research not only contributes to the academic discourse on political communication and media studies but also offers practical insights for policymakers, media professionals, and the public in fostering a more informed and resilient democratic society.
HOME CARE SERVICES-GROWTH OF AN INDUSTRY
Authors: - DORNALA CHAITHANYA DIXIT    DIXITA , - NEERUKATTU SANDHYA , - GANGULA NEERAJA REDDY , - TEPPALI JYOTHI
Published: November 2024

Abstract:
The home care services industry has expanded much over the last decade due to factors such as; increase in the number of elderly people across the world, increased costs of healthcare, and technological advancement that sees more elderly people opting to remain in their homes rather than move to assisted living facilities. This shift is revolutionizing healthcare as more and more people require medical, personal and companion care at home. Evolution instead has strengthened the industry knowledge-base and capacity to deliver quality and patient centered care enabled by innovation such as telehealth and remote monitoring. Furthermore, development of trends in government policies and reimbursement structure has helped create markets by encouraging home care as a cheaper way of delivering care than the hospitals or nursing homes. And over time, that demand is expected to reshape and expand the food and beverage industry, from reacting to shifting demographics to adapting to growing pains. Thus, the questions of career growth, staff shortage, legislation limitation, and funding are the main issues to consider for further development.
Evaluation of Upstream Oil and Gas Accident Risk Assessment Effect on Project Time Performance in Ghana
Authors: - Zachariah Bissah , - Solomon A. Keelson
Published: November 2024

In Ghana's upstream oil and gas industry, a developing nation, this article seeks to explore the effects of accident risk assessment on project timeline performance, with management and staff roles as the moderators in Ghana’s upstream oil and gas industry. Purposive sampling was used to choose employees and supervisors who were involved in project management and risk assessment responsibilities as respondents, and quantitative data were gathered from 242 Ghanaian upstream oil and gas sector personnel in Ghana's Western Region. These volunteers have been in the industry for at least six months. The study demonstrates a positive correlation between accident risk assessment and project accident risk assessment. Amitai Etzioni's Theory of Compliance, Situational Awareness Theory, Theory of Attitude Formation, and finally, Henry Mintzberg's Management Theory serve as the foundation for the study's theories and hypotheses. In the upstream oil and gas sector, accident risk assessment has been found to have an impact on project timeline performance. This was accomplished by drawing stakeholders' attention to employee feedback and emphasizing it.
A Review Article on Natural Polymers in Novel Drug Delivery System
Authors: - B.V.RAMANA , - KOMMIREDDY VYSHNAVI
Published: November 2024

Natural polymers have gained significant attention in the development of novel drug delivery systems due to their biocompatibility, biodegradability, and low toxicity. These polymers, derived from plant, animal, and microbial sources, offer a versatile platform for targeted and controlled drug release, minimizing side effects and enhancing therapeutic efficacy. Key examples include chitosan, alginate, gelatin, and cellulose derivatives, which are explored in diverse drug delivery formats like hydrogels, nanoparticles, and microcapsules. Their structural flexibility enables drug encapsulation, sustained release, and specific targeting to diseased tissues or organs. Moreover, natural polymers can be functionalized to respond to physiological triggers such as pH, temperature, and enzymes, optimizing drug bioavailability and patient compliance. the landscape of personalized medicine. This review underscores the benefits, challenges, and future prospects of natural polymers in creating effective, safe, and innovative drug delivery systems.
Evaluation of 6th and 7th Grade Mathematics Course Common Written Exam Questions According to Item Types and Revised Bloom's Taxonomy Prepared by Kocaeli Provincial Directorate of National Education Measurement and Evaluation Center
Authors: - Esma Kocabıyık , - Hilal Çelik , - Ümit Sönmezer
Published: November 2024

This study aims to evaluate the 6th and 7th grades mathematics lesson common written exam questions prepared by Kocaeli Provincial Directorate of National Education Measurement and Evaluation Center according to item types and the Revised Bloom Taxonomy. In this research, descriptive scanning method was used. In the research, as a data collection tool, the first and second semesters of 2018-2019 academic year and the first semester of 2019-2020 academic year’s exam questions of mathematics lesson were put to use by Kocaeli Provincial Directorate of National Education’s Measurement and Evaluation. The common written 195 exam questions, were examined in agreement with the item types and Revised Bloom Taxonomy. Obtained data show %2,88 of 6th- grathe questions were prepared for memorization, % 33,65 for comprehension, % 44,2 for exercise, % 8,65 for analysis, %3,85 for evaluation. It was determined that %37,5 of questions written in mathematics exam are true-false, are short-answer, % 59.62 are multiple-choice, and it is confirmed that there are also no questions from matched and open-ended question types.. According to the Revised Bloom Taxonomy, % 9,62 of e were no questions which test the creativity of the students. Besides, % 45,05 of 7th- grade mathematics written questions consisted of short answers, and % 54,95 consisted of multiple-choice items. It was observed that there were no open-ended, matched and true-false questions. As stated in Revised Bloom Taxonomy, % 2,20 of the questions were prepared for memorization, % 43,95 for comprehension, % 51,65 for exercise, %2,20 for analysis.
Analysis of Anthropometric Measurement during Pregnancy
Authors: - Jyoti D. Solunke
Published: November 2024

ABSTRACT
Anthropometric assessment during pregnancy is a widely used; low technology procedure that has not
been rigorously evaluated. Our objective is to study and determine the anthropometric measurement and
examining changes during pregnancy. The study was performed the total 480 pregnant women from urban and
rural area of Marathwada region. The height and weight were measured by using digital scale and BMI (Body
Mass Index) was Calculated. The collected data was tabulated and analysed statistically. The result of the
present study regarding the selected anthropometric measurement of the selected pregnant women indicated
that there was non-significant effect of different education over body height. Result also revealed that the
pregnant women belonging to low, medium and high-income group were significantly affected on height,
Weight & BMI. The mean value of height and body weight of pregnant women of urban areas was noticed to
be significantly more than that of the pregnant women of rural areas (p<0.01). Whereas statistical analysis of
the data revealed that the pregnant women from urban and rural area did not differ significantly in their body
mass index values.
Exploring Military Technology from Thirteenth to Fourteenth Century: A Study of Delhi Sultanate
Authors: - Shamsheed Ahmed
Published: November 2024

Throughout the history, the military technology played a great role in the expansion, protection and survival of various kingdoms all over the world. In this backdrop the present paper attempts to explore the use of different types of military technology during thirteenth and fourteenth centuries in Delhi Sultanate. This study demonstrates that the Sultans of Delhi used a variety of military weapons during their reign and stretched their domain across a considerable portion of the Indian subcontinent.
Determinant Factors to Purchase Intention at Jago Coffee: A Study Survey to the Customer in Indonesia
Authors: - Nicky Alifio Satriowibowo , - Ricardo Indra
Published: November 2024

Purpose: This study explores the factors influencing purchase intention at Jago Coffee, focusing on content marketing, electronic word-of-mouth (E-WOM), and perceived quality as primary predictors. Research design, data, and methodology: A quantitative approach was employed, using survey data collected from 399 active Instagram and TikTok users in Indonesia. Hypotheses were tested to determine the influence of these factors on brand awareness and purchase intention through structural equation modeling. Results: The findings indicate that content marketing and E-WOM significantly enhance brand awareness, while perceived quality directly impacts purchase intention. Brand awareness, however, did not exhibit a significant effect on purchase intention, suggesting that other factors, such as product quality, play a crucial role in driving purchases. Conclusions: The study underscores the importance of maintaining high content quality and engaging E-WOM to foster brand recognition and consumer loyalty. These insights offer practical recommendations for Jago Coffee and similar businesses aiming to optimize their social media marketing strategies.
Legal Challenges of Artificial Intelligence in India’s Cyber Law Framework: Examining Data Privacy and Algorithmic Accountability Via a Comparative Global Perspective
Authors: - Siva Vignesh S.K.V , - Nagarjun D.N
Published: November 2024

Artificial Intelligence (AI) has been quickly evolving and disrupted many domains such as cybersecurity, governance, law enforcement etc. But with this evolution comes several legal questions to consider, in many cases, the current laws just don't fit. The complexities surrounding AI technology, particularly regarding issues of algorithmic bias and automated decision-making, present new challenges for which the Information Technology Act, of 2000, was not originally designed.
This research focuses on two critical factors that demand urgent attention: Algorithmic Accountability and Data Privacy. While algorithmic accountability concerns the need for transparency and the ability to trace decision-making processes, data privacy revolves around safeguarding personal information from unethical AI usage. The absence of clear provisions/interpretation addressing these two factors not only weakens the Indian legal regime but also threatens the protection of individual rights.
To address these issues, this research provides a comparative analysis using global models, using information gathered from frameworks like the Algorithmic Accountability Act in the US and the AI Act in the EU. These frameworks have established worldwide guidelines for AI governance by introducing extensive procedures to control algorithmic bias/inaccuracy and enhance data privacy. On the other hand, India's legal system remains disorganized and does not have an effective strategy to address the special threats and capabilities of AI. In addition to legal reform, the research illustrates a more effective explanation of how AI might misuse data and encourage biases, particularly in a large and diverse culture like India.
Thus, the research emphasizes the need for immediate and focused reforms to establish a strong framework for regulation that takes AI's complexities into account. This involves implementing strict data protection regulations and required transparency guidelines for AI systems to guarantee that AI technologies are developed and implemented responsibly, preserving digital rights and trust among individuals.
Optimizing Gate-Level Simulation Performance Through Cloud-Based Distributed Computing
Authors: - Kaushik Velapa Reddy
Published: November 2024

Gate-level simulation (GLS) has emerged as an indispensable verification methodology in modern ASIC
design flows, particularly as process nodes advance below 5 nm and design complexities increase
exponentially. This comprehensive article examines the critical role of GLS in addressing verification
challenges that RTL-level simulation alone cannot resolve, including timing validation, power-aware
verification, and X-propagation analysis. Recent studies have shown that up to 35% of silicon failures in
advanced nodes can be attributed to issues only detectable through gate-level simulation, highlighting its
crucial role in reducing costly re-spins. The analysis of 127 industrial ASIC projects reveals that
integrated GLS methodologies, particularly those incorporating machine learning techniques, have
achieved a 47% reduction in verification time while maintaining 99.8% coverage metrics. This article
systematically evaluates emerging trends, including cloud-based distributed simulation frameworks
demonstrating a 3.2x speedup in automotive-grade IC verification workflows and novel artificial
intelligence applications in predicting critical verification scenarios. Furthermore, it proposes a
comprehensive framework for integrating GLS with advanced power analysis techniques, specifically
addressing the challenges of multi-voltage designs and power-gating verification in IoT and automotive
applications. This article contributes to the growing knowledge of hardware verification methodologies
while providing practical insights for implementing efficient GLS strategies in contemporary ASIC
design flows.
An Analysis of Non Performing Assets in Indian Banking Industry: The Tide is Shifting?
Authors: - RANVIJAY KUMAR
Published: November 2024

The crest of Non-Performing Assets sweeping the Indian Banking sector posed a crisis of sorts. Though the banking sector is no stranger to NPAs but the ensuing globalization coupled with the Damocles sword of Basel Norms made it more severe than it looked especially with the onset of new millennium. The acceptance of a new robust mechanism to make the banking sector less prone to the cruel twist and turns of a market driven economy made it inevitable for the sector to first prune the weak links. The stakeholders took the challenge in tandem with the regulators as well as the Government to check the downturn of assets. However, the immediate outcome was not encouraging. Insolvency and Bankruptcy Code (2016) and Bad Bank with a different nomenclature were introduced through legislative efforts. Though they were new concept for India, it will be too early to predict about success or failure of these new initiatives. The research paper focuses on the concept of the bad debts, its origin and remedies in the context of Indian banking system. The paper co-relates the resolution of bad debts with the growth of Indian economy.
The Lived Experiences of LGBTQ+ Educators in Selected State Universities and Colleges (SUCs) in Ilocos Sur, Philippines
Authors: - Cynthia M. Carino , - Delia R. Casillan , - Ausbert I. Felicitas
Published: November 2024

This study explored the experiences of LGBTQ+ educators. This qualitative research focuses on the phenomenology method as it aimed to understand and explain the lived experiences of the teacher-participants. The researchers employed purposive and snowball sampling to recruit participants through personal and professional networks. A total of six (6) self-identified gay and lesbian educators in SUCs in Ilocos Sur served as participants in this study. Data were coded and analyzed according to the research questions.

The research resulted to two major themes which emerged out of the experiences shared by the LGBTQ+ educators: (a). Personal Experiences and (b) Professional experiences. The theme personal experiences are divided into sub-themes: a. Familial acceptance and support, b. community acceptance of their identity. The theme Professional Experiences are composed of (a). respect from students and fellow educators and (b) Inclusivity. There were recommendations given in this study wherein the LGBTQ+ educators and the school may consider to elevate the status of the LGBTQ+ personnel. Expand future research to include non-traditional participants and integrate variables that impact such individuals.
Neurorights Safeguarding Mental Autonomy in a Digital Era
Authors: - Karunambigai S , - Varsha Shree A I
Published: November 2024

It was widely held that no one, not even the devil, could discover a man's intentions because the human brain, which contains intentions and thoughts, is an impenetrable fortress. But thanks to the development of neurotechnology, it might now be able to read someone's mind and ideas. While a large portion of technology has been created for use in hospitals for the diagnosis or treatment of patients with neurological, psychiatric, and neurodevelopmental disorders, some products, like brain stimulators that promise to improve mental performance or brainwave monitoring devices that let users play video games with their minds, are starting to appear in stores. Massive amounts of intricate brain data gathered via neuroimaging techniques are a great fit for artificial intelligence algorithms to process. We discuss how AI helps in developing neuroscience and vice versa. We will further discuss neurorights, protection against mind hacking and brain data theft. New human rights that protect an individual's autonomy over their ideas and mental processes would be a broader definition of neurorights. And regulations and policies enacted by numerous nations and conventions, such as the EU and the Republic of Chile. Numerous neurologists, philosophers, jurists, and other specialists have expressed varying views regarding the rights and scope of protection over time due to the interdisciplinary nature of the neurorights debate. The five Neurorights that the Neurorights Foundation promotes are the right to mental privacy, personal identification, free choice, fair access to mental augmentation, and immunity from bias.
Sustainable synthesis of Di-iso-octyl Maleate using 3-octanol extracted from Peppermint oil
Authors: - SOHAM KAWACHALE
Published: November 2024

Surfactants are vital in industries such as detergents, textiles, and cosmetics, and their synthesis from renewable or waste-derived feedstocks aligns with sustainability goals. This study explores the valorization of 3-octanol, a byproduct of peppermint oil extraction, into di-isooctyl maleate (DOM), a precursor to di-octyl sulphosuccinate (DOSS), a widely used surfactant. The synthesis of DOM was achieved via esterification of 3-octanol and maleic anhydride in the presence of para-toluene sulphonic acid (PTSA) as a catalyst. Reaction parameters, including catalyst concentration, reaction time, and temperature, were systematically optimized to maximize yield. The highest yield of 96.34% was obtained using 0.4 g of PTSA per 5 g of 3-octanol, with an optimal temperature of 80–85°C and a reaction time of 3 hours. Experimental data showed a decline in yield beyond this catalyst concentration and reaction duration, indicating the importance of precise parameter control. Alternate catalysts such as Amberlite and Indion 130 were tested. This study demonstrates a sustainable and scalable approach to converting waste-derived 3-octanol into value-added surfactants, providing an economically viable solution with minimal equipment and investment requirements.
The Impact Of Artificial Intelligence In The Music Industry: Unveiling Innovation And Unleashing Legal And Ethical Dilemmas
Authors: - Kavinmathi , - Jayalakshmi Iyer Venkatraman
Published: November 2024

"Music gives a soul to the universe, wings to the mind, flight to the imagination, and life to everything." said by Plato. Throughout history music has been the universal language of every person. With each song written and music composed emotions have been unveiled and transmitted. Artificial Intelligence as we see it is penetrating into every field with each advancement it is found to be bigger and stronger than ever. The music industry is an evolving field at this point in time with many technological advancements such as Artificial Intelligence for the various tasks required to be performed for each song such as song writing, production, composition, singing, etc.. But to the positives there will always be negatives in this case it can be seen that there have been various cases of plagiarism, copyright infringement, violation of ethical concerns, unfair competition etc. This paper analyses the legal and ethical issues posed by AI in the music industry and also scrutinizes the efficiency of Indian law to manage the rampant violations of Artificial Intelligence by comparing it with various laws in different countries. It also provides suggestions as to how the use of such technology can be regulated without harming the various stakeholders involved in the industry.
A Study on the Environmental Awareness of Secondary School Students
Authors: - Pomei Jorlim , - Kerilhusa Peseyie
Published: November 2024

The present study was conducted to investigate the level of Environmental Awareness of secondary school students. A total of one hundred forty (140) secondary school students consisting of 65 male and 75 female were selected from 7(seven) secondary schools using simple random sampling technique. For this investigation, the descriptive survey method was employed. The study made use of the Environmental Awareness Scale developed by Dr. (Mrs.) Haseen Taj. The findings indicated that both the male and female students based on the type of management and the locality had High level of Environmental Awareness.
Agriculture a Growing Sector - Essential for Economic Growth in Indian Economy (Challenges, Problems and Remedies)
Authors: - Seraphinus Kispotta/Shilpa Lakra
Published: November 2024

Abstract
Agriculture sector also known as primary sector is essential for economic growth in any economy including India. It has emerged as the essential-growing sector in the global economy since independence. It was seen that the highest percentage of household and land holdings were found in marginal category with 75.41 percent and 29.75 per cent followed by small category. Only 0.24 per cent of household has a land holding of 5.81 per cent under large category. As far as the comparative yield of the selected crops such as Rice, Wheat, Corn, Coarse grain and Soybean are concerned, the highest yield in India was found in Rice followed by Wheat and Corn as per Foreign Agricultural Service, USDA. Slow agricultural growth is a concern for policymakers as some two-thirds of India’s people depend on rural employment for a living. Current agricultural practices are neither economically nor environmentally sustainable and India’s yields for many agricultural commodities are low. Poorly maintained irrigation systems and almost universal lack of good extension services are among the factors responsible. Farmers’ access to markets is hampered by poor roads, rudimentary market infrastructure, and excessive regulation. Various government and non-governmental schemes have been launched to accelerate the agricultural growth in India. Various recommendations have been put forward to maintain and accelerate the growth & contributions of this sector & to develop it as a true engine of economic growth.
Addressing the Legal Concerns Surrounding the Interoperability and Standardization Challenges on the Application of Smart Contracts in Blockchain Technology
Authors: - PS Ramamoorthy
Published: November 2024

Blockchain-based digital contracts have greatly energised multiple fields with their advantages of speed, effectiveness, openness, and security. In synergy, smart contracts provide frictionless transactions and further ensure supply chain integrity. A sum of these efficient, trustworthy agreements, therefore, transforms business and fosters creativity in a real-world demonstration with enhanced transparency, streamlined processes, and reduced reliance on intermediaries. This paper aims to analyse, from a legal domain, the applications of smart contracts within blockchain technology, as their future use, shall impact supply chain management, financial services, healthcare, Internet of Things (IoT) and various other areas. Data privacy, jurisdictional challenges, interoperability and migration from previous systems etc involve revamping or modification the laws, in order to reduce the scope of potential financial and systemic frauds, and environmental hazards to make the usage of the system more consumer-safe. Thus there is a significant gap in understanding their legal implications, particularly concerning enforceability, jurisdiction, and regulatory compliance. This research is conducted based on the Doctrinal Approach. The paper aims to analyze and provide an overview of legal implications in order to create public awareness and mitigate potential future risks. As industries increasingly adopt blockchain solutions, understanding the potential of smart contracts becomes crucial for researchers, practitioners, and policymakers.
Assessing Pre-service Teachers' Level of Technical-vocational and Pedagogical Competencies in Southern Philippines
Authors: - Sylvia S. Fiel , - Nivea Louwah D. Sermona
Published: November 2024

Pre-service teaching is a fundamental component of teacher preparation, providing future educators with hands-on experience in the classroom, where they can apply theoretical knowledge in real-world settings. This phase is essential in shaping teachers who will contribute to societal progress by educating future generations. However, despite its importance, there are challenges in consistently assessing the competencies of pre-service teachers, especially within technical-vocational and pedagogical education, where standards can vary. Addressing these gaps in assessment is crucial for developing a skilled teaching workforce, which is why this study aims to evaluate the technical-vocational and pedagogical competencies of fifty (50) BTVTED pre-service teachers selected using the total population sampling technique in Southern Philippines. A validated 5-point Likert scale survey questionnaire comprised of 42 items specifically designed to assess pre-service teachers' technical-vocational and pedagogical competencies were utilized in the data collection of the study. This study employed descriptive research design and statistical tools like mean and standard deviation to analyze and interpret the data gathered. The study’s findings revealed that the grand mean of the pre-service teachers' technical-vocational and pedagogical competencies (M=4.47, SD=0.86) is classified as “Competent”. The highest ratings were observed in the “Diversity of Learners” (M=4.63, SD=0.61), “Learning Environment” (M=4.59, SD=0.62), “Curriculum and Planning” (M=4.59, SD=0.67), “Community Linkages and Professional Engagement” (M=4.52, SD=0.65), and “Technical and Vocational Knowledge and Pedagogy” (M=4.32, SD=0.81) which are classified as “Highly Competent”. The lowest ratings were observed in the “Assessment and Reporting” (M=4.33, SD=0.84) and “Personal Growth and Professional Development” (M=4.34, SD=0.86) which are classified as “Competent” only. In conclusion, while the pre-service teachers still perceive themselves as competent in some areas, there is some indication that they feel less equipped to apply various assessment methods and engage in ongoing self-improvement consistently. Recommendations to enhance pre-service teachers’ least mastered competencies and for future research are included in this study.
Database-Driven Adaptive Learning: A Systematic Analysis of AI Integration in Educational Personalization
Authors: - Sandeep Kumar Nangunori
Published: November 2024

This article examines the transformative role of AI-driven databases in facilitating personalized learning experiences within educational institutions. Through a systematic analysis of implementations across K-12 and higher education settings, we investigate how intelligent database systems enable adaptive learning pathways and real-time intervention strategies. The article synthesizes data from 47 educational institutions implementing AI-enhanced learning management systems over a three-year period (2021-2024), employing a mixed-methods approach to evaluate both technical integration patterns and learning outcomes. Results demonstrate significant improvements in student engagement (mean increase of 27%, p < .001) and academic performance (average GPA increase of 0.4 points) when compared to traditional learning management systems. The article also reveals key implementation challenges, including data standardization issues and faculty adaptation requirements. The findings provide a comprehensive framework for educational institutions seeking to implement AI-driven database systems, while highlighting critical considerations for scalability, privacy, and pedagogical integration. This article contributes to the growing body of literature on educational technology by establishing empirical evidence for the effectiveness of AI-powered personalization in educational contexts and proposing a structured approach to its implementation.
Evaluating and Analysing Digital Entrepreneurship: Innovation, Competitive Advantage, and Sustainability in the Modern Business Landscape
Authors: - Bhavishya Agarwal
Published: November 2024

This review paper examines the transformative impact of digital entrepreneurship on the modern business landscape, focusing on its ability to drive innovation, provide competitive advantages, and contribute to economic growth. The study explores key components of successful digital enterprises, including digital literacy, creativity, and critical reasoning, while analyzing emerging trends such as artificial intelligence, digital marketing, and subscription-based models. Through case studies of successful companies like Shopify and Airbnb, the paper highlights how digital platforms disrupt traditional industries and enhance customer experiences. Despite the benefits, digital entrepreneurship faces challenges like high competition, data security concerns, and customer trust issues. The review concludes that, by embracing technological advancements and innovative strategies, digital enterprises can thrive, create value, and shape a sustainable and inclusive global economy.
Addiction in the Digital Age: Exploring Problematic Mobile Phone Use.
Authors: - Wardha Muneeb
Published: November 2024

Abstract:-
Aim: The main aim of this study was to examine patterns of recreational mobile phone use across different age groups and evaluate the possibility of mobile phone addiction, known as Problematic Mobile Phone Use (PMPU) (chatgpt).
Methods: The study was conducted as an online survey, with the help of google forms. It consisted of 106 participants aged 13 to 59+. Of these, the majority (61.3%) were females. Data was collected on the time participants spent on their phones, the most frequently used apps, and when the participants received their first mobile phone.
Results: The largest group of participants (50.9%) were from 23-29 age category, with (67.9%) reporting spending more time on their phones than intended. Social media apps (83%) and YouTube (60.4%) were the most commonly used apps, with an average of 3-4 hours per day. Despite excessive use, (53.8%) of participants reported not taking any steps to reduce their screen time.
Conclusion: This study reveals that many participants do not recognize the signs of problematic mobile phone use (PMPU) and highlights the need to spread more awareness regarding it among the general population.
Machine Learning and Artificial Intelligence in Pharmaceutical Industry and Development
Authors: - Rupali Madhav Thakare , - Pooja Gangurde , - Gauri Suresh sawant
Published: November 2024

Machine learning (ML) and artificial intelligence (AI) are transforming many industries by enabling systems to learn from data and perform tasks without the need for explicit instructions. In the pharmaceutical industry, these technologies are being used to overcome major challenges such as high research and development (R&D) costs, long drug development times, and complex regulations. AI and ML can help analyze large amounts of data, predict drug interactions, and improve trial design, reducing costs and speeding up the process of bringing new drugs to market. Although AI has great potential, it has only been used to a limited extent in the pharmaceutical industry due to strict regulations and, especially, the need for human oversight to ensure patient safety. However, there are significant challenges, including ethical concerns, privacy issues, and the need to train experts. There are different types of ML techniques, such as supervised learning, semi-supervised learning, unsupervised learning and reinforcement learning, that help in pattern recognition and decision-making. AI aims to solve problems, understand and use knowledge, plan, continuously learn, interact socially, promote creativity, and work well with people. AI has many advantages, such as reduced errors and technological advancements, but also disadvantages, such as high costs and possible job losses. AI is increasingly integrated into the pharmaceutical industry. Partnerships between pharmaceutical companies and AI technology providers can help improve drug discovery, streamline clinical trials.