bluuebunny/crossref_metadata_2025 huggingface dataset:
B2B-TRADE IN HEALTHY FOOD PRODUCTS
Authors:   FSBEI HE “REU im. G. V. Plekhanov”, Moscow, Russia, Kazantseva Svetlana Yu.
Published: December 2024

The author analyzes the importance of the B2B business format, evaluates its main functions, giving examples of well-known leading companies in this field. The advantages of wholesale trade in its constant interaction with the difference are described. The types of intermediaries are considered. The possibilities of advertising healthy food products are evaluated. The experience of switching to the B2B format of the Vkusville company is analyzed, as well as the experience of working in the format of both its own retail and wholesale interaction with the retail chains of the EkoNiva company. The prospects for further development and transformation of the market of healthy food products and the main factors stimulating this kind of transformation are assessed.
E-COMMERCE AGGREGATORS AS AN ACTUAL RESPONSE TO CHANGING CONSUMER BEHAVIOR PATTERNS
Authors:   Plekhanov Russian University of Economics, Moscow, Russia, Sizova Darina A. , Sizova Tatyana V. ,   Plekhanov Russian University of Economics, Moscow, Russia
Published: December 2024

In modern economic conditions, in conditions of reduced purchasing power and high inflation rates, companies have to look for relevant approaches to sales organization. Out-of-store trade implies the sale of goods and services outside the stationary retail network. This is a more flexible form of sales compared to the store, involving the choice of optimal channels for the promotion and sale of goods, to form flexible logistics, to establish customer feedback. E-commerce is one of the fastest growing technology markets in the world and is gradually becoming an integral part of the global economy. Development of digital technologies has contributed to a change in the economic environment and has affected all spheres and sectors of the economy. Digitalization has opened up new ways for the development of trade enterprises, developed tools to simplify and improve many economic processes, and also gave rise to completely new, technological services and ecosystems. In these conditions, the activities of e-commerce aggregators are in demand, technologically advanced, and relevant.
TAX ASPECTS OF THE ORGANIZATION OF TRADE ON MARKETPLACES IN RUSSIA
Authors:   Plekhanov Russian University of Economics, Moscow, Russia, Ilyashenko Svetlana B. , Lebedeva Irina S. ,   Plekhanov Russian University of Economics, Moscow, Russia
Published: December 2024

This article discusses the tax aspects related to the trading activities of sellers on marketplaces in Russia. The main attention is paid to the analysis of legislation regulating the tax regime for entrepreneurs who sell through online platforms. The authors focus on the specifics of taxation of income generated from the sale of goods on marketplaces, as well as on the possibilities and features of applying special tax regimes. An important aspect of the study is the analysis of the impact of the new legislation on small and medium-sized businesses, which actively use marketplaces to enter the market and increase sales. The complex issues related to compliance with tax discipline by sellers of marketplaces are revealed. In addition, the article includes a comparative analysis of tax regimes for individuals and legal entities who are sellers on marketplaces.
PRIORITY MODELS OF DISTRIBUTION CHANNELS IN WHOLESALE TRADE IN THE DIGITAL ECONOMY
Authors:   Russian University of Economics named after G. V. Plekhanov, Moscow, Russia, Nikulina Yulia A.
Published: December 2024

The integration of digital technologies into the business processes of wholesale trade participants allows the use of new or previously unpopular sales channels, transforming traditional models of product movement into new forms. In this article, the author conducted a study of the relevance of applying product distribution schemes directly from the manufacturer to the end user for his professional use, bypassing distribution and dealer networks, using the example of the sale of goods for aesthetic medicine. The author defines the modern functions and role of participants in the movement of goods in wholesale trade, and current models of sales channels. The author analyzes the possibility of the manufacturer’s priority use of direct and omnichannel sales, as well as the risks of using such schemes of movement of goods. Based on the results of the research, the author has developed practical recommendations for the top management of wholesale enterprises to determine effective channels of commodity movement in the digital economy.
Powiązanie religijności z wyborami politycznymi suwerena w Europie Środkowo-Wschodniej na przykładzie Polski w latach 2007-2015 w świetle globalnych badań nad stosunkami międzynarodowymi (Global IR)
Authors: Skorupska Magdalena
Published: December 2024

Central-Eastern European (CEE) historical and cultural experiences can constitute an important contribution to the Global IR. Religion plays a special role here (we discuss the phenomena of “ethnicization of religion” and “sacralization of ethnicity”), which still does not find an adequate place in Western IR. Using data provided by the Institute of Catholic Church Statistics and the National Electoral Commission, we analyze the connections between Poles’ religiosity and voting in the Sejm elections from 2007 to 2015. We use cartographic and statistical methods for this purpose. As a result, there is a visible strengthening of political polarization in Poland, based largely on viewpoint issues, especially those related to the approach to religion. Therefore: 1. religion still “matters” for IR because it significantly influences political choices, especially in CEE, including Poland; 2. the concept of Global IR should be expanded to include research on religion, as it remains a relevant factor for this concept – it contributes significantly to “non-Western” theorizing on IR, e.g., in the CEE region; 3. perhaps the postsecular approach to studying international reality developed within Western IR could find its application in the concept of Global IR, which has a great chance of contributing to the dissemination of a new, postsecular identity of the discipline. It is worth using multidisciplinary research, as demonstrated in this article.
Czeskie i słowackie ugrupowania radykalnej i ekstremalnej prawicy politycznej i ich stosunek do Unii Europejskiej
Authors: Wojtaszak Andrzej
Published: December 2024

The collapse of the Soviet Union in the early 1990s was accompanied by the revival of the idea of sovereignty of states previously belonging to Moscow’s sphere of influence in Central Europe. Regaining freedom enabled the development of various political ideas, accompanied by the emergence of groups expressing radical and extreme nationalist views. In the case of the radical right, we are dealing with opposition to the system of liberal democracy and the federal idea of the European Union (EU). Extreme parties most often refer to neo-fascist or neo-Nazi ideas and reject membership in the EU. Some of these groups are represented in the parliaments of their own countries and in the European Parliament. Most of them do not have coalition capabilities, while others have found themselves outside the governing structures of their own countries. The subject of this analysis is the attitude towards the EU of radical and extreme right parties originating from two countries established in 1993 after the breakup of Czechoslovakia - the Czech Republic and the Republic of Slovakia.
Agresja Rosji na Ukrainę – podzwonne dla realizmu politycznego
Authors: Olchowski Jakub
Published: December 2024

The article focuses on analyzing Russia’s policy towards Ukraine from the perspective of political realism, highlighting the limitations of this approach. After the annexation of Crimea and the 2022 invasion of Ukraine, political realism gained popularity but fails to account for subjective and immaterial factors such as ideology and strategic culture. It is difficult to accept the reductionist view of realists who attribute Russia’s aggression to a rational response to NATO’s expansion, without analyzing the historical, cultural, and emotional motives behind Moscow’s actions. The article argues that Russia’s war against Ukraine is not solely based on geopolitical calculations but stems from ideological and imperial ambitions to dominate Ukraine. It must be emphasized that realist analyses are increasingly inadequate in the face of dynamic international realities and multidimensional conflicts, necessitating more complex and interdisciplinary theoretical approaches.
A Study on the Impact of GST on India's IT Sector
Authors: - Bhavana Srivastava , - Himanshu Srivastava
Published: December 2024

Goods and Services Tax, the only name currently holding a pivotal position in the Indian dictionary of indirect taxation, is one of the eminent policies and decision of the Indian Government till date. However, the responsibility doesn’t ends up with just the implementation of the giant tax structure but to look after the pros and cons of the taxation system which it has brought with its implementation across various sectors of the Indian economy. Considering the same aspect, this research paper aims to study about the impact of GST on one of the most important sector of Indian economy, that is, the IT sector. With the GST implementation, what are the advantages as well as issues or disadvantages the sector is facing and how it has increased the tax burden on the various IT tools, equipments and in what manner it has impacted the major IT players in our country. The study will be of descriptive nature and secondary data will be presented in the paper to explore the target areas of study.
Diversity and Resilence: Aboriginal Narratives in Australian Literature
Authors: - DR RAJU
Published: December 2024

Aboriginal Australian literature serves as a powerful medium for exploring the multifaceted experiences of Indigenous peoples in Australia, navigating themes of cultural resilience, identity, and resistance in the face of colonial oppression. This paper aims to critically analyze the concepts of ‘Terra-nullius’, ‘genocide’, ‘stolen generations’, ‘magic realism’, and ‘Dreamtime literature’ within the context of Aboriginal Australian literature, highlighting their interconnectedness and significance in shaping Indigenous narratives.
Examination of the Tensions and Possibilities that Arise from Hybrid Identities in Zadie Smith’s Novels
Authors: - Amit Madhukar Titare
Published: December 2024

This paper examines the concept of hybridity in the context of Zadie Smith’s novels, exploring both its inherent tensions and its potential for fostering self-discovery and cross-cultural understanding. It situates Smith’s work within theoretical discussions of hybridity, referencing scholars like Kraniauskas, Puri, Young, and Stoneham, who offer diverse perspectives on its implications and complexities. Through close readings of characters like Irie, Magid, and Millat in White Teeth, Alex-Li in The Autograph Man, the unnamed narrator in Swing Time, Leah and Natalie in NW, and Fatou in “The Embassy of Cambodia,” the paper analyzes how Smith’s characters navigate the challenges of belonging, authenticity, and self-definition within their hybrid identities. It argues that Smith’s narratives, while acknowledging the inherent tensions of hybridity, ultimately champion its potential for personal growth, cultural exchange, and the creation of a more inclusive and interconnected world.
John Rawls' Theory of Justice and the Philippine Taxation
Authors: - Jefferson Delmendo
Published: December 2024

This paper discusses the philosophical concept of distributive justice enunciated by John Bordley Rawls (1921-2002) and how it is applied in the exercise of the state’s inherent power of taxation, particularly in the Philippines. First, it discusses the legal bases, nature, and principles of taxation in the Philippines. Second, it also discusses Rawls’ Theory of Justice and other Rawlsian philosophical ideas, such as the equal liberty principle and difference principle. Lastly, it presents how Rawl’s theory of justice is applied to Philippine taxation.
The Escalating Genetic Predisposition to Type 2 Diabetes in the Global Population
Authors: - Framcy T Mathew , - Ms. Aminamol. H
Published: December 2024

The rising prevalence of Type 2 diabetes is a global health concern, with significant implications for public health systems worldwide. This article reviews recent research on the genetic predisposition to Type 2 diabetes, highlighting key genetic markers and their interactions with lifestyle and environmental factors. Studies have identified several single nucleotide polymorphisms (SNPs) associated with increased diabetes risk, with the TCF7L2 gene being particularly noteworthy. Moreover, certain ethnic groups, such as South Asians, exhibit higher genetic susceptibility due to specific genetic variations affecting insulin production and fat distribution. Familial patterns further underscore the hereditary nature of the disease, with individuals having a family history of diabetes at a higher risk. The interaction between genetic predisposition and modern lifestyle factors, including poor dietary habits, lack of physical activity, and increased obesity rates, exacerbates the risk of developing Type 2 diabetes. This review underscores the necessity for targeted research and personalized treatment approaches, considering both genetic and environmental factors to effectively address the escalating diabetes epidemic.
Exploring the Effect of Sleep Quality and Self-Efficacy on Academic Motivation in University Students of India
Authors: - Oindrila Pal , - Trijita Sanyal , - Dipanjana Chatterjee
Published: December 2024

The aim of this study was to examine the relationship between sleep quality, academic motivation and self-efficacy among Indian students. The sample consisted of 111 students including 34 males and 77 females in the age group of 18 to 26 years. Graduate and undergraduate students and some working people participated. Their family background is middle to upper class. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality, the Academic Self-Efficacy Scale (ADSE) measured academic ability, and the Academic Motivation Scale College Version-28 (AMSC) assessed academic motivation. Data analysis focused on identifying relationships between these variables. The results show a weak inverse relationship between PSQI and AMSC, indicating that better sleep quality is associated with less academic motivation. In addition, the low correlation between PSQI and ADSE suggests that although sleep quality and self-efficacy are important to academic success, their direct relationship is not strong. However, the positive correlation between ADSE and AMSC emphasizes the close relationship between academic ability and motivation. These findings highlight the importance of addressing sleep quality and psychological factors such as self-efficacy and motivation in promoting academic success. Educational interventions should consider comprehensive strategies that include improving sleep hygiene, improving intrinsic motivation, and increasing the ability to support the well-being of students and the advancement of knowledge. Further research, especially longitudinal and experimental studies, is needed to elucidate the underlying mechanisms and causal pathways associated with these factors. A deeper understanding of these relationships will help develop targeted interventions to improve student outcomes.
Sohrai and Khovar: A Geographical Study of Jharkhand
Authors: - Shruti khalkho , - Arpana Premi Lina Oraon
Published: December 2024

This study explores the intricate relationship between geography, traditional art forms, and social empowerment in Jharkhand, India, focusing on the indigenous mural arts of Sohrai and Khovar. Situated in a state rich in tribal culture and natural resources, these art forms serve as vital expressions of creativity deeply intertwined with the agrarian and social lives of indigenous communities. Utilizing a mixed-methods approach, including fieldwork, interviews, and Geographic Information System (GIS) mapping, the research highlights how the unique geographical features of Jharkhand shape the materials, motifs, and meanings of these art forms. Findings reveal that Sohrai and Khovar art not only reflect the region's ecological diversity but also play a crucial role in preserving cultural heritage, fostering community identity, and promoting sustainable practices. Additionally, the study emphasizes the social empowerment of tribal artisans, particularly women, through the commercialization of these art forms. By showcasing the profound connections between geography, culture, and social dynamics, this research underscores the importance of preserving traditional practices as a means to maintain cultural integrity and advance social resilience within Jharkhand's indigenous communities.
Performance Evaluation of Portfolio Managers
Authors: - AJOY MITRA
Published: December 2024

Portfolio, key for financial decisions making by individuals and institutions to allocate resources optimally while mitigating risk. At its heart, portfolio management is about choosing and overseeing investment assets to meet specific goals. Whether aiming for long-term growth, generating income, or preserving capital, managing a portfolio effectively demands a profound grasp of risk-return exchanges and market movements. By spreading investments across various asset classes and securities, managers seek to diminish overall risk exposure and boost potential returns. Through thorough research, analysis, constant assessment are meant to build balanced portfolios that fit investors' objectives and risks acceptance levels. Consequently having an in-depth comprehension of portfolio-management principles practices is crucial amid the intricate framework of financial markets.
Unveiling the Digital Frontier: A Comparative Examination of E-Banking Offerings in India's Public and Private Banks
Authors: - Dr Annapoorna M.S , - Ms. Mary Magadalane
Published: December 2024

The financial markets have changed drastically. As a result of financial sector reforms, the banking industry has been seriously shaken. The banks have cast off their traditional roles have been innovating, improving and creating new types of services to meet growing demands their existing and new customers 'needs. In recent years, it has undergone major changes such as the incorporation of E-banking. E-banking offers and sends financial products or services by electronic means. The study is based on primary data collection and used this data to do a comparative study on the private sector and public sector banks. The objective of the study is to assess customer awareness of e-banking services by public and private banks, examine the association between bank types and service performance, and understand the overall customer perception of e-banking service quality by public and private sector banks. The analysis is done based on the demographic details of the participants to understand the versatility in people’s choice. These choices are directly based on the different e-banking services provided by these banking sector. The significant association between the types of banks and the level of performance of different e-banking services like internet banking, mobile banking, ATM services using chi-square test. Then graphical representation of the analysis is also represented. The findings of the study suggests that most customers choose a bank for E-banking services due to their traditional bank account and efficient customer service. Most respondents use E-banking services like internet banking, mobile banking, and ATM services, and are satisfied with their respective banks' services. The study found that customers' choices are significantly influenced by the bank type therefore both private and public sector, may need to adjust their e-banking services or marketing strategies based on customer preferences, which could influence resource allocation, service enhancements, and customer engagement strategies within the banking institution. Thereby concluding that public and private sector banks are equally considered technologically advanced.
Welfare Measures and Working Conditions of Employees in Shops and Establishments with Special Reference to Coimbatore District in Tamil Nadu
Authors: - S Sangeetha , - A Alagarsamy
Published: December 2024

Current welfare frameworks are insufficiently addressing new issues including job insecurity, work-life imbalance, and mental health concerns brought about by the quick digitization of retail, post-pandemic changes in work structures, and changing labor market conditions. The majority of the material now in publication has a strong emphasis on physical health and safety, paying little regard to the mental health issues that workers in demanding retail settings, especially in the wake of the COVID-19 pandemic, encounter. For example, because of their distinct socioeconomic setting, places like Coimbatore necessitate a thorough examination in order to better comprehend local issues and the execution of welfare programs. The current study intends to investigate the variables that lead to the gaps in the implementation of statutory welfare measures, namely in the informal retail sector, as well as the working conditions of employees. In order to ensure representation from a variety of shops and locations, including malls, restaurants, retail stores, and small enterprises, a sample of roughly 300 employees was chosen. To gather quantitative information on wellbeing metrics, a standardized questionnaire was created. Employers and employees participated in semi-structured interviews to learn more about their perceptions on working conditions and welfare policies. statistical tools such as cross-tabulation, mean, standard deviation, and frequency distribution are used to analyze the data. Relationships between variables like working environment and employee happiness can also be investigated using sophisticated statistical tools like regression analysis and correlation. Key themes and patterns pertaining to employee wellbeing, difficulties implementing policies, and the individual experiences of employees were found by applying thematic analysis to the qualitative data from interviews. According to the study, satisfaction with welfare metrics is strongly positively correlated. Employee well-being and morale are greatly increased by improved welfare provisions. Workers are more likely to be content when they feel safe in their positions.
The Role of Artificial Intelligence and Machine Learning in Healthcare
Authors: - Richard Aggrey , - Bright Ansah Adjei , - Nana Adwoa Konadu Dsane , - Karl Osei Afoduo , - Loretta Naa Oye Holdbrooke
Published: December 2024

Artificial Intelligence (AI) and Machine Learning (ML) can potentially revolutionise healthcare systems by improving diagnostic and treatment procedures, thereby enhancing patients' health. Based on big data, these technologies can find correlations that human eyes cannot see. Doing so may lead to earlier diagnoses, better treatments, and more effective drug development. However, the use of AI and ML in the healthcare sector cannot succeed without addressing issues of ethics and professionalism, such as data privacy and inductive bias. To protect patients, it is important that these technologies are designed and used ethically, ensuring that patients have control over their deployment. With the continual development of AI and ML technologies, it is necessary to invest more in research and development to tackle their potential issues.
Differentiated Thyroid Cancer in Elderly Patients: Experience of the Nuclear Medicine Department at CHU Hassan II of Fez
Authors: - Mohammed Otmane , - Fatimazahrae Errazouki , - Nadia Alaoui Ismaili
Published: December 2024

Differentiated thyroid cancer (DTC) in elderly patients (aged ≥ 65 years) poses unique clinical challenges due to late diagnosis, tumor aggressiveness, and age-related physiological changes. This retrospective study, conducted at the Nuclear Medicine Department of CHU Hassan II of Fez from 2018 to 2023, included 60 patients aged 65 years and older. The majority of cases presented with multinodular goiters (53%) and advanced-stage disease, including lymph node metastases (12%) and distant metastases (13%). Histopathological analysis revealed that 61.66% of cases were classic papillary thyroid carcinoma, while more aggressive variants were also observed. Total thyroidectomy was performed in all patients, with lymph node dissection in 16.6% of cases. Radioactive iodine therapy was administered in 91.6% of patients, with varying doses based on disease extent. Complete remission was achieved in 55% of cases, but recurrence and distant metastases remained significant challenges. Multidisciplinary management and early detection strategies are crucial to improve outcomes in this vulnerable population.
Implication of India's National Education Policy 2020 in Libraries: Opportunities and Challenges
Authors: - Janhavi Prashant Bhoir , - Prashant Bharat Vanshiv
Published: December 2024

The objective of this article is to ascertain the role of libraries and information centres as well as the National Education Policy, 2020. These possibilities haven't been made explicit in NEP, though. Nonetheless, libraries that have high-quality digital resources must convey high-quality instruction. NEP 2020 calls for the introduction of a number of educational levels, including foundational, preparatory, middle, secondary, undergrad, post-graduation, research, and lifelong learning. NEP has highlighted the importance of libraries in a variety of contexts, such as the promotion of reading culture and the preservation of the nation's cultural legacy. Additionally, library professionals must find innovative ways to enhance and boost the impact of academics in higher education by practicing fixed librarianship. Librarians play a crucial role in implementing NEP 2020, requiring them to develop necessary skills and adopt a growth mindset. They must be proactive in transforming libraries to achieve the objectives and ensure their readiness for the implementation process. The librarian must work with teachers to promote the NEP's key ideals and best practices in education. They can accomplish this by pursuing passion projects in cluster groups while keeping a service-oriented mindset. The library should function as a central hub for personnel and educational materials, partnering with administration, the local community, and national and international funding agencies.
The Advantages and Disadvantages of Agricultural Green in India
Authors: - Seraphinus Kispotta/Shilpa Lakra
Published: December 2024

Abstract
A detailed achievement in terms of agricultural productivity improvement, and its broader impact at social, environmental, and economic levels is provided. Lessons learned and therefore the strategic insights are reviewed because the world is preparing a “redux” version of the revolution with more integrative environmental and social impact combined with agricultural and economic development. Core policy directions for revolution 2.0 that enhance the spread and sustainable adoption of productivity enhancing technologies are specified.
Customer support chatbot with Machine Learning
Authors: - Ronuru Mukesh , - Mohammed Rahim , - Saribala Vinay Kumar Reddy , - Rampalli Jagan Mohan , - S Saravana Kumar
Published: December 2024

In the modern digital world, customer service quality and response time play important role in determining business success and customer loyalty. This project focuses on developing an intelligent customer support chatbot using cutting-edge ML techniques and NLP technologies. The chatbot aims to revolutionize the way businesses engage with their customers by providing efficient, human-like interactions that ensure seamless communication and timely resolution of customer issues.
Analysing Recent APT Incidents: Case Studies and Lessons Learned
Authors: - Richard Aggrey , - Bright Ansah Adjei , - Karl Osei Afoduo , - Nana Adwoa Konadu Dsane , - Abigail Cudjoe , - Millicent Abrefi Ababio
Published: December 2024

Advanced Persistent Threats (APTs) are some of the worst threats facing organisations in the modern world. The purpose of this paper is to review the most recent APT cases to define more characteristic Tactics, Techniques, and Procedures (TTPs), and learn from the attacks. We also look at examples to analyse the effect of APTs across a range of industries such as healthcare, finance and government. Some important conclusions are presented as following, APT groups are becoming progressively more complex; They employ innovative approaches which may include zero-day exploits and supply chain attacks; They are able to persist inside a target’s network for months, taking their time before executing further attacks. To avoid such attacks, organisations must adopt multi-layered defence, whereby there is maximum network security, endpoint protection, security training and physical security policies. Consequently, prevention and protection against APTs involve collaboration with other organisations as well as information exchange.
Ezy Eats: Transforming Campus Canteen and Student Dining Experiences
Authors: - Tanmay Wakchaure , - Ankit Roshan , - Junail Siddiqui , - Rahul Prasad , - Aditi Nagarkoti , - Kavita Kushwah
Published: December 2024

Eats is a mobile app designed to revolutionize the campus canteen experience by addressing critical challenges faced by students. The application directly targets persistent problems in campus dining, including excessive waiting times, limited payment flexibility, inefficient order processing, and potential transactional security risks. By providing an intuitive mobile interface, Eats empowers students to seam-Lessly place orders, track their progress in real-time, utilize diverse digital payment options, and complete transactions through convenient QR code checkout. The app's comprehensive approach transforms the traditional canteen experience into a streamlined, user-centric service. Technically, the application leverages a robust architecture featuring a user-friendly frontend developed using Java and Kotlin within Android Studio, complemented by a sophisticated backend infrastructure powered by Node.js, Firebase, and Express.js. This tech-neology stack enables secure user authentication, supports multiple payment methods, and facilitates dynamic, real-time data management, ultimately delivering an efficient and modern dining solution for college campuses.
In vivo: Anti-larvicidal (anthelmintic) activity of Spondias pinnata against Fasciola gigantica larvae
Authors: - Pradeep Kumar , - Sweta Pandey
Published: December 2024

The aim of the present study is to evaluate in vivo anti-larvicidal (anthelmintic) activities of Spondias pinnata plant against sporocyst, redia, and cercaria (Fasciola gigantica) larvae. The liver fluke species of F. gigantica are caused zoonotic diseases in cattle and human populations. The common intermediate host snail Lymnaeids (Lymnaea acuminata) are carriers of the Fasciola. It can be controlled by the break of the life cycle in the intermediate host snail. The in vivo exposure of leaf powder and, various organic extracts, of S. pinnata, was observed up to 8h at various concentrations against sporocyst, redia, and cercaria. The anti-larvicidal effect of different preparations was observed at 2, 4, 6, and 8h of the exposure period. The exposure of leaf powder of S. pinnata in vivo was more effective against the sporocyst (2h LC50 68.64mg/L and 8h LC50 72.13mg/L). The column extract of leaf powder (CELP) of S. pinnata against sporocyst, redia, and cercaria in 2h LC50 was 66.38, 69.63, and 68.33 mg/L and 8h LC50 was 63.10, 66.03, and 65.86 mg/L, respectively. The ethanolic column extract of the S. pinnata leaf powder have better anti-larvicidal activities than the other organic extract.
Enhancing Local Binary Pattern-Support Vector Machine (LBP-SVM) for Improved Facial Emotion Classification
Authors: - Kricel M. Belmonte , - Kyla Johnine D. Quilop
Published: December 2024

Supervised Machine Learning algorithms like Support Vector Machines (SVMs), have emerged as powerful tools for classification, regression, and anomaly detection tasks. However, despite their high potential for emotion classification, SVMs face several challenges, including manual hyperparameter tuning, overfitting, difficulties in handling overlapping classes and noisy features, and failure to effectively detect action units. Addressing these challenges is important in improving the accuracy and robustness of facial emotion recognition systems. This study proposed improvements to the Local Binary Pattern - Support Vector Machine (LBP-SVM) framework to address these challenges. The Grid Search will be used to automatically select the optimal value for C and gamma parameters. To address the problem of overfitting and noisy features, Recursive Feature Elimination will be used to select the features that contribute the most to the class separability. Finally, to further enhance the accuracy of the model the researcher also combined the feature extracted from Facial Action Units to capture the dynamic characteristics of facial expressions. Experimental results on the CK+ dataset show the enhanced LBP-SVM achieves 98% accuracy, demonstrating improved robustness for recognizing subtle and complex emotional expressions.
Automating Real-Time Compliance Data Collection in Cloud Architectures: A Technical Deep Dive
Authors: - Dharga Panduranga Kolla
Published: December 2024

The change in compliance data gathering through cloud-native architectures and automation technologies
is examined in this thorough article. The article looks at how businesses in a range of industries are using
cutting-edge technologies to satisfy ever-tougher regulatory standards while preserving operational
effectiveness. With an emphasis on the financial services, healthcare, and e-commerce industries, the
article explores the development of compliance management, cloud-native architectures, automation
tactics, and industry-specific apps. It also explores new trends and best practices for implementation, such
as how blockchain, AI, and machine learning might be incorporated into compliance frameworks. In
addition to drastically cutting down on manual labor and increasing accuracy in compliance operations,
the article shows how contemporary compliance solutions are transforming regulatory adherence.
AI-Driven Operational Efficiency Optimization in Insurance: A Technical Implementation Guide
Authors: - Chetan Prakash Ratnawat
Published: December 2024

This comprehensive article explores the transformative impact of Artificial Intelligence on operational
efficiency in the insurance industry, focusing on implementing AI-driven solutions across underwriting,
claims processing, and agent management functions. The article examines how modern AI architectures
address traditional operational challenges through intelligent workflow analysis, process automation, and
resource optimization. The article demonstrates substantial improvements in operational efficiency,
customer satisfaction, and cost reduction by analyzing implementation cases across various insurance
organizations. The article covers key technological components, including artificial intelligence engines,
machine learning modules, natural language processing capabilities, and robotic process automation,
while highlighting their collective contribution to enhanced insurance operations. The article presents
evidence-based insights into performance improvements achieved through AI implementation. It offers
insurance organizations a strategic framework for leveraging these technologies to enhance their
operational capabilities and maintain competitive advantage in an increasingly dynamic market
environment.
How Can Hybrid Algorithms Combining Quantum Machine Learning and Classical Machine Learning be Optimised for Performance and Accuracy?
Authors: - Manthan Jindal
Published: December 2024

This paper investigates optimization strategies for hybrid algorithms that integrate Quantum Machine Learning (QML) with classical machine learning to enhance computational performance and accuracy. Recognizing the limitations of classical algorithms in processing high-dimensional and complex data, and the practical constraints of current quantum computing, such as noise, decoherence, and limited qubit counts, we explore how a synergistic combination can overcome these challenges. We examine key hybrid models, including Quantum Support Vector Machines and Quantum Neural Networks, which leverage quantum principles like superposition and entanglement within classical frameworks.
We address challenges posed by quantum noise and hardware limitations, discussing error mitigation techniques and strategies for efficient quantum-classical integration. By focusing on task allocation that takes benefit from the strengths of both quantum and classical processors, optimizing quantum circuit design, and effective resource management, we demonstrate that optimized hybrid algorithms can significantly improve computational efficiency and accuracy. Our findings suggest that continued advancements in quantum hardware and integration methods are essential to fully realize the potential of hybrid computational tools in applications like machine learning, data analysis, and optimization.
From Pop Mart to Consumer Carts: Understanding the Consumer Behavior of Filipino Consumers
Authors: - Lorenzo Ricky A. Ramilo , - Caiel Juliana C. Diokno
Published: December 2024

The rise of blind boxes in the Philippines, particularly Pop Mart's offerings, has piqued Filipino consumers' interest, inciting curiosity and driving impulsive purchasing behaviors. This study investigates the relationship between four key factors—income, marketing strategies, perceived risks, and e-commerce—and their impact on consumer behavior toward Pop-Mart blind boxes. A quantitative correlational research design was used to analyze data from 399 Filipino respondents to identify patterns and relationships between these variables. The findings show that income has a significant impact on consumer behavior, with higher income levels leading to increased purchasing activity. Marketing strategies, particularly curiosity and exclusivity, had a relatively positive impact, increasing engagement and repeat purchases. Perceived risks, surprisingly, correlated positively, as the thrill of uncertainty and potential rewards ignited consumers' interest. E-commerce, on the other hand, also had a significant effect on consumer behavior, suggesting that well-designed e-commerce platforms and effective digital marketing strategies can greatly influence consumer purchasing decisions. This research provides useful insights for businesses looking to innovate in the blind box economy. Understanding how psychological triggers such as curiosity and perceived risks influence consumer behavior can help brands develop more effective marketing strategies and better engage their target audiences. Consumers will benefit from increased awareness of the factors influencing their purchasing decisions, resulting in more informed and rational shopping habits.
Hinglish Should be Grouped Under the Scheduled Languages in India: A Survey
Authors: - Sehba Nasir
Published: December 2024

Nowadays Hinglish is the need of the hour. It is commonly used in social gatherings, families, in offices, in chit chats, in the titles of bollywood films, in songs, in the titles of T.V. shows. Data was collected that where and how much is the use of Hinglish done and it is important. One survey was done with the questions based on the use of Hinglish and its importance in communication. And the results were found in the favor that most of the time communication is not nicely possible without using Hinglish .With the observation of counting
the English words in Hindi speech of Prime Minister, Mr. Narendra modi in Mann ki baat, program broadcasted from Akashwani, the increased use of Hinglish in his three tenures was found With this paper we wish that voice should reach to many and efforts should be made to make Hinglish a scheduled language.
Preserving Culture through Skill Development in Manipur
Authors: - Nonie Lourembam
Published: December 2024

Manipur is renowned for its culture and traditions. Many heritage related skills like handloom, carpentry, carpet weaving, cane and bamboo products are also the pride of Manipur. However, due to various reasons indigenous skills are hardly being transferred to the young generation. While new technologies open new perspectives for preservation and conservation, it can also lead to disappearance of our indigenous skills if not used properly.
There should be an initiative from both the students and educators that aims to address these challenges by supporting the inclusion of cultural heritage in skill development.
Curriculums in skill development institutions should aim to train and impart the younger generation with skills that would help them get employment into heritage-related jobs in addition to other sectors. This will play a significant role in preservation and it will also act as a means for tackling unemployment.
Predicting Future Cyber Threats: Analysing Trends and Predicting Future Cybersecurity Challenges
Authors: - Richard Aggrey , - Emmanuel Adjirachor , - Bright Ansah Adjei , - Nana Adwoa Dsane , - Karl Osei Afoduo
Published: December 2024

As the sophistication of cyber threats grows, we move from traditional reactive cybersecurity to the implementation of predictive cybersecurity. This paper explores how more advanced technology, integrated systems, and state-sponsored attacks have created a complicated threat landscape requiring predictive threat management. An organisation can foresee future vulnerabilities by analysing trends such as phishing, ransomware, and advanced persistent threats (APTs) through logical correlation. This paper discusses the adoption of predictive models - both quantitative and qualitative methods - and using Artificial Intelligence (AI) and Machine Learning (ML) in real-time threat detection and situational awareness. For instance, the SolarWinds supply chain and the Ukraine power grid attacks show why predictive analysis is needed to deal with the risks. Due to ethical considerations, such as data bias or fairness, developing reliable predictive models is critical. To effectively predict threats, industries, governments, and researchers must collaborate and establish a resilient cybersecurity framework anticipating what is coming next.
Advancements in Pneumonia Detection Using U-Net
Authors: - Hardhik Sai Palivela , - Aaditya Gawali , - Annie Uthra
Published: December 2024

The Abstract of this study is to apply U-Net, a deep learning-based convolutional neural network (CNN) architecture, designed for biomedical image segmentation tasks, to automate pneumonia detection within chest X-ray medical images.
Student Perception Regarding Online Learning during Pandemic
Authors: - Misha
Published: December 2024

The COVID19 pandemic has disrupted the normal functioning of various activities across the world, including learning and education. The shift towards online education during the pandemic of COVID19 has led many studies to focus on perceived learning outcomes and student satisfaction in this new learning environment. This study is a collective case study consisting of analysis of students’ perceptions of their online learning during the pandemic. The data was collected from one hundred twenty-two through convenience sampling. The recorded perceptions are in terms of course design, learner – instructor interaction, effectiveness and IT ability. The results were then summarized into tables and narrative descriptions. The study found that factors- course design, learner – instructor interaction, effectiveness and IT ability are positively influencing the student’s perception and satisfaction regarding e learning during pandemic.
Poučavanje robotike u primarnom obrazovanju kao način za
promicanje različitosti i održanje mentalnog zdravlja djece
Authors: Suman Darko , Pleština Vladimir , Purković Damir
Published: December 2024

U radu se raspravlja o važnosti učenja i poučavanja automatike i robotike za razvoj djece i mladih te se iznosi kritika uopćenog shvaćanja važnosti ovog područja samo u kontekstu poučavanja programiranja, potreba društva ili u kontekstu selekcije talenata. Elaborira se multidisciplinarnost ovog područja kao podloga za promicanje različitosti učenika. U tom smislu se iznose razvojna ograničenja i mogućnosti učenika primarnog obrazovanja, mogući pristupi učenju i poučavanju, te motivirajući i demotivirajući elementi takvih pristupa. Pritom se ističe integrirano poučavanje kao rješenje koje različitim „mozgovima“ može pružiti priliku za otkrivanje vlastitih sklonosti i za samoostvarivanje. Tako se kroz „sraz različitosti“ uspostavlja suradnja, razvijaju se komunikacijske vještine, što rezultira prihvaćanjem različitosti. U radu se zaključuje da je integrativna nastava robotike više od usvajanja znanja iz programiranja, matematike ili tehnike, odnosno, da je to prilika za uspješniji razvoj kompetencija za 21. stoljeće. To je ujedno i prilika za učenje „neatraktivnih“ sadržaja na atraktivan način što doprinosi mentalnom zdravlju učenika kroz proces demistificiranja tehnologije i odmak od uobičajenog (konzumerskog) korištenja tehnologije. Pritom aktivnosti na izazovima koji se stavljaju pred učenike razvijaju njihove mentalne mehanizme tako što potiču njihovu znatiželju, izazivaju otkrivanje i razvijaju kritičko mišljenje, kao odmak od konformističkog pristupa prisutnog danas kod mladih naraštaja.
Nastavnička percepcija projektnog učenja u području
strukovnog tehničkog obrazovanja
Authors: Delač Dino , Purković Damir
Published: December 2024

Prema dosadašnjim iskustvima i analizama učenje temeljeno na projektima je vrlo slabo zastupljeno u srednjim školama Republike Hrvatske kao nastavna strategija u kurikulumima stručnih predmeta. Svrha koncepta učenja temeljnog na projektima je ta da učenicima, osim usvajanja znanja, istovremeno omogući razvijanje odgovornosti i samostalnosti te unaprjeđenje njihovih vještina. Na taj način se učenike usmjerava prema učenju putem transformacije znanja tj. prilagodbom prethodno stečenih znanja kako bi stvarali nova znanja koja potom koriste pri rješavanju postavljenog problema. Ovaj rad predstavlja istraživanje percepcije koncepta projektnog učenja od strane nastavnika srednjih strukovnih škola u sektorima elektrotehnike i računalstva te strojarstva. Istraživanje je provedeno na uzorku (N = 100) nastavnika srednjih strukovnih škola. Tijekom istraživanja je provedena analiza stavova nastavnika i njihova razumijevanja kriterija projektnog učenja kako bi se utvrdilo razlikuju li projektno učenje od sličnih aktivnosti. Rezultati istraživanja pokazuju da nastavnici projektno učenje primjereno percipiraju u kontekstu vlastite uloge, važnosti za razvoj kritičkog mišljenja i sustava vrijednosti, nužnosti povezanosti sa „stvarnim svijetom“ i autonomije učenika. Unatoč tome, većinu kriterija ne percipiraju na primjerenoj razini, kao ni samo određenje projekta u nastavi, pa niti ulogu vanjskih partnera u projektnom učenju. Rezultati ukazuju na potrebu za dodatnim obrazovanjem i usavršavanjem nastavnika po pitanju kriterija i odrednica projektnog učenja kako bi se ono uspješnije implementiralo u nastavni proces.