bluuebunny/crossref_metadata_2025 huggingface dataset:
Humanização na Atenção Básica à Saúde Revisão de Literatura
Authors: Barbosa Adeilda da Silva , Freitas Yasmin Diniz de , Albuquerque Murillo Cássio de Souza , Silva Kamylla Francielly Teodoro da , Navas Keizzy Andrade Reis , Gomes Bárbara Renata Caetano , Xavier Júlia Vitória Moura , Silva Ailton Santana Da , Silva Maria Gabriela Vicente da , Ruam Thiago
Published: December 2024

Introdução: Este artigo surgiu a partir da necessidade de abordar um tópico relevante para a saúde dos pacientes. O objetivo principal é identificar as dificuldades enfrentadas pelos enfermeiros na implementação da humanização na atenção básica à saúde. A metodologia utilizada consistiu em uma Revisão Integrativa da Literatura. Para a coleta de dados, foram consultadas as seguintes bases de dados: Scientific Electronic Library Online (Scielo), Análise de Literatura Médica (Medline) e Biblioteca Virtual de Saúde (BVS). Nos resultados, foram catalogados diversos artigos, dos quais alguns foram escolhidos para fundamentar a discussão. A discussão aponta que a prática de enfermagem voltada para um atendimento humanizado se baseia na transmissão de informações claras e objetivas. Em conclusão, identificou-se que a carência de recursos materiais adequados, a carga excessiva de trabalho, a resistência de certos pacientes e acompanhantes, além da interrupção das atividades de enfermagem por outros profissionais de saúde, são desafios significativos.
Subcutaneous immunoglobulin 16.5 % given by the rapid push method in patients with inborn errors of immunity: a prospective multicenter study of quality of life
Authors: Avedova Asmik Ya. , Deripapa Elena V. , Rodina Yulia A. , Mukhina Anna A. , Latysheva Elena A. , Yukhacheva Daria V. , Burlakov Vasily I. , Kan Nellie Yu. , Bogdanova Daria V. , Moiseeva Anna A. , Kuzmenko Natalia B. , Nesterenko Zoya A. , Deordieva Ekaterina A. , Ogneva Anna L. , Bludova Viktoria O. , Roppelt Anna A. , Fomina Daria S. , Zinovieva Natalia V. , Sevostyanova Yulia N. , Kalmeteva Linara R. , Prolygina Dilara D. , Barycheva Liudmila Yu. , Selezneva Olga S. , Shakhova Natalia V. , Laba Olga M. , Vlasova Elena V. , Gorenkova Alla V. , Timofeeva Elena V. , Trusova Olga V. , Guseva Marina N. , Yudina Natalia B. , Grevtseva Evgenia A. , Ibisheva Asya Kh. , Bambaeva Zema V. , Mashkovskaya Dina V. , Isakova Svetlana N. , Shakirova Almazia R. , Selina Ekaterina Yu. , Shilova Tatiana V. , Zubova Elena S. , Khabaeva Imani U. , Kitova Ekaterina V. , Mandzhieva Anastasia G. , Starikova Svetlana Yu. , Pavlova Tatiana B. , Tyulyakova Elvira N. , Grachev Nikolai S. , Shcherbina Anna Yu.
Published: December 2024

BACKGROUND: Replacement therapy with immunoglobulin preparations is the basic therapy for patients with impaired antibody formation in the context of inborn errors of immunity. The introduction of replacement therapy with subcutaneous immunoglobulin (SCIG) into clinical immunological practice has allowed patients with inborn errors of immunity, regardless of age, to carry out therapy independently at home. This circumstance has played a leading role in improving the quality of life of patients.
AIM: To assess the quality of life of patients and adherence to therapy during the transition from intravenous immunoglobulin replacement therapy to SCIG therapy.
MATERIALS AND METHODS: A total of 233 patients of different ages with inborn errors of immunity were enrolled in the study. All patients were switched from intravenous immunoglobulin to SCIG 16.5 % therapy. SCIG was administered every 7–10 days for at least 12 months via the rapid push method. Assessment of quality of life and adherence to SCIG therapy was carried out 6 and 12 months after the start of therapy using a questionnaire.
RESULTS: Based on the results of the assessment of the quality of life of patients using a questionnaire, patients of all age groups under 18 years and their parents demonstrated improvement in the social sphere, academic performance at school, and physical activity against the background of switching to SCIG. According to the survey, 84 % of patients did not experience technical difficulties and 83 % wanted to continue the SCIG infusion.
CONCLUSION: Performing manual infusion of SCIG at home has a positive effect on the quality of life of patients and helps improve adherence to therapy.
Le triangle d’or de l‘ambidextrie organisationnelle
Authors: Hess Verena
Published: December 2024

L'élection de Donald Trump n'a pas seulement provoqué une hausse du prix du bitcoin, elle a également souligné l'importance de la technologie sous-jacente et émergente de la blockchain pour les entreprises de différents secteurs. L'exploration de nouvelles opportunités et l'exploitation de l'existant ne sont pas faciles à concilier pour ces entreprises. Cet article cherche à éclaircir le lien entre la gestion d’innovation et l’organisation d’une entreprise en mettant l’accent sur le travail d’équipes de projet. Il pose la question suivante : quel est le modèle organisationnel permettant d’optimiser la création de valeur dans un contexte d’afflux de technologies émergentes ? A partir des résultats d'une thèse de doctorat, l'article développe ensuite une nouvelle compréhension d'une structure d'entreprise ambidextre.
Bezprawie w imię prawa. Rosyjskie specjalne operacje wyborcze na okupowanych terytoriach Ukrainy
Authors: Orzechowski Marcin , Kuryło Tetyana
Published: December 2024

Purpose: The purpose of this article is to analyze what the authors describe as a special election operation related to the election of the President of the Russian Federation in the occupied territories of Ukraine. This is not the first case in history where Russia, using territorial expansion, attempts to legitimize its power in the territories under its control. The appointment of locals who are responsible for the implementation of procedures and mechanisms related to direct democracy (referendum, elections) is an instrument of “facade legitimacy” for unlawful actions. Research Questions: The basic research problem that the authors believe needs to be answered is the analysis of the conditions, mechanisms, concepts and ways of implementing special operations, and a critical analysis of the nature of these operations in relation to legal legalism. This is another mechanism to justify neo-imperialist policies as necessary to defend against threats from “degenerate Western civilization”. According to the authors, the analysis of this issue allows conclusions to be drawn regarding the interpretation of the axiological aspects of such concepts as “Putinism”, controlled democracy, and sovereign democracy. Methods: The research optics adopted by the authors imply the use of historical methods, comparative methods, institutional-legal analysis and exegesis of both official documents and source texts. Result of the study: The analysis carried out leads to the conclusion that electoral operations fall into the “neo-imperial instrumentality”, radicalizing Russia’s actions against the civilian population. This is due to the recognition of the occupied areas as part of the Russian Federation “forcing” the defense of “its territory”.
Theoretical and methodological foundations of risk management in the implementation of monitoring and control-ling systems at agricultural enterprises
Authors:   Institute of Animal Husbandry of the National Academy of Agrarian Sciences of Ukraine, Nosach Natalia
Published: December 2024

This article is dedicated to studying the theoretical and methodological foundations of risk management in implementing monitoring and controlling systems at agricultural enterprises. The research aims to develop theoretical and methodological foundations for risk management at agricultural enterprises when implementing monitoring and controlling systems, which will allow reducing uncertainty, increase the effectiveness of management decisions, reduce costs, and enhance the competitiveness of enterprises in the context of globalization and market instability. The article discusses the significance of monitoring and controlling as key management tools for agricultural enterprises operating in a dynamic market environment. The research presents the concept of integrating these tools into the management system of agricultural enterprises to improve their efficiency and reduce risks. It is revealed that monitoring and controlling allow enterprises to respond quickly to changes, reduce risks, and optimize resources to achieve strategic goals. Data collection and processing methods are analyzed, including primary and secondary analysis, which ensure the relevance and accuracy of information for management decision-making. The study proposes a methodological approach to risk management within the framework of implementing monitoring and controlling systems, which is an important element in ensuring the effectiveness of agricultural enterprises in modern conditions. This approach includes several stages, starting with risk identification, such as natural disasters, market fluctuations, legislative and regulatory policy changes, and socio-economic factors that can significantly impact the stability of enterprises. Implementing monitoring and controlling systems allows the detection of risks and the timely response to them. By automating monitoring processes, enterprises can quickly obtain information about changes, enabling rapid adaptation of strategies and preventing negative consequences. The proposed approach also facilitates the formation of a risk management strategy, including developing measures to minimize or transfer risks and identifying opportunities for enterprise diversification. The developed methodological approach ensures flexibility and adaptability of management processes, which is critically important for ensuring the stability and growth of agricultural enterprises in the face of constant change. This allows agricultural enterprises to react to risks and proactively manage them, creating conditions for more sustainable and profitable business operations.

Keywords: risk management, monitoring, controlling, risk identification, management adaptability.
Organizational and personnel mechanism of enterprise economic security
Authors:   Simon Kuznets Kharkiv National University of Economics, Nasrullayev Ravan , Zelenyak Vasyl ,   Odesa National Technological University, Shakun Vladyslav ,   Simon Kuznets Kharkiv National University of Economics
Published: December 2024

The article considers the theoretical and methodological foundations of the organizational and personnel mechanism of economic security for enterprises, which is considered an important element in ensuring the stable functioning of a company in the face of external and internal threats. The purpose of the research is to systematize existing approaches and improve the theoretical and methodological support for the economic security of enterprises in terms of the personnel component. Based on the analysis of contemporary scientific approaches to economic security issues, emphasis is placed on the personnel component, which is a key factor in effective personnel management and protecting the enterprise from risks. The research substantiates the need to develop a personnel security system in conditions of increased competition and an unstable economic situation. Its key aspects are presented, such as human resource management, professional development of employees, increasing their qualifications, and the development of an effective motivation system. It is revealed that personnel security directly influences the economic sustainability and competitiveness of the enterprise, protecting against external environmental threats. The main components of ensuring personnel security for the enterprise are identified: organizational structure, personnel management system, motivation and stimulation, information security, internal control and audit system, regulatory and legal support, risk management, and continuous learning and qualification improvement of employees. The study justifies the main principles of personnel security, including compliance, threat prevention, comprehensiveness, legality, confidentiality, and flexibility. Special attention is paid to the risk management system, monitoring of personnel threats, and the development of corporate culture. The proposed organizational and personnel mechanism is a novel approach to ensuring economic security, effectively using resources, and increasing the enterprise’s competitiveness in modern conditions. Unlike existing ones, they are based on the principles and goals of personnel security. The practical value of the mechanism lies in its focus on human capital; it encompasses all stages of personnel work, namely selection, development, and motivation of personnel, ensuring information security and legal protection for employees.

Keywords: economic security of enterprises, personnel component, personnel security of enterprises, personnel management, enterprise protection, personnel risks.
Data Management and Optimization in S3
Authors: - Prathyusha Kosuru
Published: December 2024

The best practices for data management and optimization within Amazon S3 are the steps to store a vast amount of data while minimizing costs. Before May 2022, the best practices included using data storage classes depending on the pattern of accessibility, retirement of data using lifecycle policies, and accelerating access by using S3 Select. Sustainability cost reduction measures involved S3 storage classes, including Standard, Intelligent-Tiering, and Glacier, together with improved data retrieval performances through efficient indexing. Furthermore, security measurements like encryption and IAM policies were crucial for the purpose of storing data securely and providing restricted access only to authorized users (Dulloor et al., 2016).
Sustainable Ingredients: A Growing Trend in the Beverage Industry
Authors: - Alok Satish Chaugule
Published: December 2024

The beverage industry is undergoing a significant transformation as sustainability becomes a key priority. With growing consumer awareness of environmental issues, there is a rising demand for beverages made from sustainable ingredients and produced with eco-friendly practices. This trend is reshaping the industry, impacting ingredient sourcing, production methods, and packaging solutions. Beverage companies are increasingly adopting organic, ethically sourced, and locally grown ingredients, while employing technologies to reduce their environmental footprint. This article explores the growing emphasis on sustainable ingredients and practices within the beverage sector.
Wilderness Tourism in the Province of Benguet, Philippines
Authors: - Ayson D. Depayso
Published: December 2024

Wilderness Tourism boomed after uplifting the travel banned all over the provinces of the Philippines. One of the provinces which visited most is the Province of Benguet. Given the situation, the researcher aimed to determine the status of tourism industry in the Province of Benguet. More specifically, to identify the Respondent’s Profile and Profile of the Province of Benguet in terms of Municipality, Number of tourist arrival per year prior the Pandemic, and in the new normal. Moreover, the impact of tourism in the Province of Benguet in terms of Environmental, Socio-Cultural, and Economic were also identified.
AI-Enhanced Secure Identity Verification for Financial Services
Authors: - Mithilesh Ramaswamy
Published: December 2024

The financial services industry is increasingly targeted by fraud and identity theft due to its reliance on identity verification processes. Traditional verification methods, including document checks and password-based authentication, are proving inadequate against sophisticated attacks such as synthetic identities, document forgery, and deepfake-enabled fraud. This paper proposes an AI-enhanced identity verification framework that integrates multimodal biometrics—such as facial recognition and behavioral analysis—with geolocation data to strengthen security. By leveraging advanced machine learning models trained on diverse real-world datasets, the framework ensures accurate and adaptive fraud detection. Additionally, the integration of privacy safeguards and compliance measures, such as encryption and regulatory adherence, ensures a secure and user-friendly system. This paper outlines the problem, presents a comprehensive solution, and discusses the practical applications and potential impact of this approach on financial systems.
An Experimental Research on Raising Consciousness Through a Series of Educational Interventions
Authors: - Neha Sinha Satsangi , - Shalini Nigam , - Nandita Satsangee
Published: December 2024

Raising intuitive consciousness through educational interventions and its implications
The study of intuitive consciousness is no longer confined to philosophy discourse. It has gained credibility in enhancing individual potentialities in professional spheres like medicine, bioengineering, quantum mechanics amongst many others. The potential of intuitive consciousness in the educational field has been initiated by several institutions but it’s adaption and wide scale implementation needs to be earnestly pursued.
The present study is designed to observe with the help of questionnaires the impact of intuitive consciousness levels of the students of higher education before and after an educational intervention on their ability to create a visionary and leadership aspect in the diffusion of innovation model. The main purpose of this study is to maximize the intuitive consciousness levels in students to make them industry leaders of tomorrow by being more proactive in their investment into innovation and to enhance their own innovative skills.
This research was proposed by considering the aim of the Dayalbagh educational institute to create a complete man. Thus, the main purpose is to develop a strategic framework for maximizing the value deliverables of the students through the educational intervention.
Research in this area also helps to create a framework for understanding the human quest for knowledge, individual development of consciousness, and higher cognitive states of spiritual experience. Peace, happiness, joy, and love are states of being that only come from within. Consequently, to experience these states fully one must become self-aware and focus your attention and energy on discovering Universal Truth in all its forms. This study will represent a pilot direction for the consciousness quotient usage in the educational field. Due to its importance in human psychology and individual differences, the assessment of consciousness values leads inevitably to the educational field. Academic success predictors usually consist of cognitive measures, pertaining to mental ability or intelligence, and non-cognitive measures, especially personality traits. The increase strength in focus of attention is highly helpful to students. It harnesses their potential and maximizes their take away from their learning experience. It also increases the cognitive impact of their learning outcomes.
This study greatly helps the budding entrepreneurs of tomorrow and present to reduce the inherent risk in their respective industries. It gives them more comprehensive cognitive skills of both insight and intuition for decision making, value judgement, networking skills while enhancing variables of leadership and managerial skills across the board.
A Psychological Study of Graham Greene’s The Man Within
Authors: - P.THIYAGARAJAN
Published: December 2024

There is another man within me that’s angry with me.
-Sir Thomas Browne.

Psychology plays a vital role to understand the mental process. Greene with his lightened sensitivity deals psychic process with great insight. He knows very well what psycho analysis tells about the mind and its functioning. So he makes use of the introspective recollections of his characters under the provocation of free association, of dreamed incidents and childhood fantasies, to lighten the past of these characters as well as their personalities.
The Impact of Teacher's Skills on the Teaching and Learning of English Reading to Grade One Learners in Tsholotsho Rural District in Zimbabwe
Authors: - Patience Chikuni , - Johnson Magumise , - Douglas Gasva
Published: December 2024

This study explored the impact of teacher skills on English reading teaching among grade one learners in Tsholotsho Rural District, Zimbabwe. The research reveals that teacher skills play a pivatol role in determining learner outcomes. However, some teachers in the district lack teaching skills, affecting their ability to deliver effective reading instruction.The study finds that teachers in the district predominantly use the phonics method, whole word approach and THRASS (Teaching Handwriting Reading and Spelling Skills) for teaching English reading. These methods are favoured for their effectiveness in teaching basic reading skills. However, the introduction of Ndebele sounds prior to English sounds poses a challenge. The research underscores the importance of teacher skills in improving reading outcomes. It highlights the need for targeted teacher training and support to enhance teacher effectiveness. The study's findings have implications for educational policy and practice, emphasizing the need for deploying infant trained teachers to rural schools to teach grade one classes.
Optimizing Patient Identification And Appointment Management with Iris Recognition Technology
Authors: - PARVEENBANU N NADAF , - PLASIN FRANCIS DIAS , - VIJAYALAXMI KALAL
Published: December 2024

The proposed project outlines the advancement of a web application that integrates iris recognition technology with a patient appointment management system. The application uses Convolutional Neural Networks for accurate iris detection, enhancing patient identification. It includes features for user registration, secure login, appointment scheduling, and doctor management. Patients who upload their iris images are identical with their previous medical records, allowing the system to present a list of relevant specialists based on their medical history. Patients can then select a specialist and book an appointment directly with that doctor. The backend is built using Flask and data is stored in an SQLite database. This setup ensures that appointment details and doctors' prescriptions are carefully recorded and maintained. By combining iris recognition with traditional appointment management, the system streamlines the booking process, improves patient identification, and maintains comprehensive medical records, thus enhancing the efficiency of healthcare services.
Enhancement of Logistic Regression Algorithm Applied in Email Spam Detection
Authors: - Vince Anthony S. Carlos , - John Cedric C. Pancho , - Vivien A. Agustin
Published: December 2024

Logistic regression is a popular binary classification approach, but like any machine learning algorithms, it has its limitations and possible concerns such as class imbalance, large datasets, and overfitting, which reduce its accuracy and efficiency. This study enhanced the Logistic Regression algorithm's performance for email spam detection by addressing these problems using the techniques of Term Frequency-Inverse Document Frequency for class imbalance, Recursive Feature Elimination for large datasets, and Principal Component Analysis for overfitting concerns. TF-IDF improves feature representation, highlighting key terms that differentiate spam from non-spam. RFE systematically eliminates irrelevant features, reducing computational complexity and enhancing efficiency, particularly for large datasets. PCA mitigates overfitting by reducing the dimensionality of feature spaces, ensuring the model generalizes effectively to unseen data. The enhanced Logistic Regression model demonstrated a significant improvement in spam detection accuracy, achieving up to 98% accuracy with TF-IDF. RFE reduced training time while maintaining robust performance on large datasets, and PCA improved model generalization, reducing overfitting risks. The proposed enhancements successfully address the key limitations of traditional Logistic Regression models in spam detection. This refined approach improves predictive accuracy, computational efficiency, and robustness, making it highly applicable to real-world email security systems.
Leaf Recognition Based on Color and Shape Using ADNet
Authors: - Prof. Revathy B D , - Prof. Harshith Kashyap , - Prof. Harsha K G
Published: December 2024

To know the details of plants and leaves around us is of great importance medicinally and economically. Traditionally, plants are categorized by taxonomists through investigation of various parts of the plant. At the same time, most of the plants can be classified and identified based on the leaf shape and associated features. in this paper we USES Image processing techniques to extract leaf color, shape and GLCM features such as mean, standard deviation, homogeneity, correlation, aspect ratio, width ratio, moment ratio, apex angle, apex ratio, base angle, centroid deviation ratio and circularity. This paper proposes an adaptive visual tracking algorithm based on key frame selection and reinforcement learning (RL) Method. At the beginning, the probability value of the RL network output is analysed, and the predicted value of output is normalized. The proposed technic uses only a fine-tuned in key frames to obtain multiple fixed prediction models. The experiment is conducted on 75 video sequences of the Object Tracking Benchmark to verify the effectiveness of key frame selection strategy, and it is Compared with the original reinforcement learning based tracking algorithm.
An Impact of Social Sector Expenditure on IMR and GER in Non- Special Category States of India during 2006-07 to 2020-21
Authors: - ALOKA KUMAR GOYAL , - DRISHTI JAISWAL , - RAJU SAHNI
Published: December 2024

Economic and social transformations are essential components for economic development and social variables for the measurement of economic development have emerged as important indicator. That’s why this paper “An impact of Social Sector Expenditure on IMR and GER in Non- Special Category states of India during 2006-07 to 2020-21” has relevance in current scenario. The paper deals with the relationship between per capita health expenditure and IMR, per capita education expenditure and GER of 17 Non Special Category (NSC) states of India and negative and positive correlation has been found. The paper has been divided into- Introduction, Objectives, Methodology and Data sources, Analysis and Discussions and finally Conclusions of the study.
Exploring the Intersection of Technology and Criminal Justice: Cybercrime, Cybersecurity, and AI
Authors: - K. HEMALI
Published: December 2024

The influence of technological development on criminal justice system has become more evident in modern world. This is because the upgraded and refined technological metamorphosis has helped not only in the prevention of crime but also come to the aid of expeditious legal proceedings.
Traditional crime differs from cybercrime in the sense that in traditional crimes physical tools are used and the material distance is wide between the offender and the victim. While cybercrime occurs in the realm of digital space with intention of financial harm or theft. The role of Artificial Intelligence (AI) has become very important in cyber forensics and also to make better the opportunities to successfully solve cybercrimes. Since the technology of AI is so advanced that it can impersonate the human characteristics, it is necessary that cybersecurity measures must be implemented by organizations to counter the strategy of AI-enabled cybercriminals. One can see that cybercrimes are not limited but encompass the whole world. Keeping this in view when India hosted BRICS Summit, cybersecurity was an important area of concern and was a beginning to and adoption of many related regulatory and legislative measures. Since technology can very effectively reduce the gap between law enforcement and the public, its incorporation in investigation methods helps police to solve crimes effectively and maintain law and order
Preparedness of a State University in the Gradual Reopening of Face-to-face Classes: Input in Health, Safety and Security
Authors: - Joshua T. Ngayao
Published: December 2024

Due to the COVID-19 epidemic, schooling has changed in recent years across the globe. Currently, the pandemic appears to have ended, at least for the time being, and as life returns to normal gradually, consideration must be given to the consequences of the return to face-to-face education. In other words, it may be required, as suggested by the United Nations, to "reimagine education." It is necessary to do research to determine which features of online education during the epidemic may be applicable to the current educational system. The use of technology in the classroom, innovative and smart devices, new teaching methodologies, and the experiences and perspectives of students are crucial considerations. Commission on Higher Education (CHED) – Department of Health (DOH) Joint Memorandum Circular (JMC) No. 004 series of 2021, titled Guidelines on the Implementation of Limited Face-to-Face Classes for All the Programs of Higher Education Institutions, was issued recently (HEIs). Using a descriptive- survey design and questionnaires to collect data, the study included 317 respondents from three groups: students, educators, and community members. The goal of this study was to evaluate a state university's readiness for the progressive restoration of face-to-face classes. The State University is well- prepared for complying with the minimum health standard, which includes regular cleaning and disinfection of classrooms, enforcement of respiratory etiquette, appropriate case detection, contact tracing, quarantine, and isolation measures, and physical distancing to ensure compliance with CHED regulations and prevent the spread of COVID- 19. According to the respondents, the obstacles found in the gradual reopening of classes at a state university are severe, but manageable, and do not justify denying or denying students access to a face-to-face class. In general, the perceptions of the three respondents regarding the impact of the slow reopening of classrooms and the difficulties encountered are highly congruent, with the exception of their personal beliefs regarding the vaccine. Some responders continue to be adamant about the vaccination program and do not believe in the adherence of minimal health norms. The State University's health, safety, and security procedures are effective and efficient in light of the resumption of classes. It is suggested that the extra particular guidelines given in this study be submitted to the crisis management committee, as they can serve as a useful resource for the formulation of policies and regulations.
Enhancement of Random Forest Algorithm Applied to SMS Fraud Detection
Authors: - Justin E. Liwag , - Clarisse Anne D. Balaoro
Published: December 2024

This study entitled Enhancement of Random Forest Algorithm Applied to SMS Fraud Detection aims to enhance the algorithm's ability to manage imbalanced datasets and minimize false negatives in classifying fraudulent messages. Random Forest is a powerful machine learning algorithm that builds multiple decision trees from randomly selected subsets of features and data. However, its performance can decline when dealing with imbalanced datasets, often leading to misclassification of the minority class. To address this, Spectral Co-Clustering was integrated to generate cluster-based features, revealing hidden patterns within the data. Initially, text features are transformed into numerical vectors using TF-IDF. To improve data quality, dense rows and columns are retained in the dataset. Furthermore, class weights are adjusted during the training of the Random Forest classifier to mitigate the effects of data imbalance. The results demonstrated a 1% rise in accuracy (from 97% to 98%), a 4% increase in the F1 score for the minority class (from 88% to 92%), and a 6% improvement in recall (from 79% to 85%). Consequently, the findings improved the capability of the enhanced Random Forest classifier in effectively distinguishing between authentic and fraudulent SMS messages, thus providing a cost-effective and efficient approach for boosting the performance of SMS fraud detection systems.
Public Policy in Bangladesh: Balancing Change and Stability
Authors: - Mr Parvejur Rahman , - Mrs Segufta Mehnaz
Published: December 2024

Bangladesh, a rapidly developing nation in South Asia, is at a critical juncture in its public policy evolution. This paper examines the intricate balance between change and stability in shaping public policies that can foster sustainable development. By analyzing existing structures, cultural dynamics, and historical contexts, this work proposes a comprehensive modus operandi for public policy in Bangladesh that prioritizes adaptive strategies, stakeholder engagement, and evidence-based decision-making.
Common Security Vulnerabilities in Android Apps: a Comprehensive Guide
Authors: - Shanu Sahadevan Mary
Published: December 2024

This comprehensive article examines critical security vulnerabilities in Android applications and proposes
effective mitigation strategies. The article investigates various security aspects including data storage,
SSL/TLS implementation, API security, code obfuscation, authentication mechanisms, WebView security,
component hijacking, logging practices, broadcast receivers, and debug build security. Through extensive
analysis of Android applications across different sectors, the article identifies common vulnerabilities, and
their impact on application security, and presents evidence-based solutions for each security concern. The
article emphasizes the importance of implementing security measures during the initial development
phases and maintaining continuous security monitoring throughout the application lifecycle, providing
developers and organizations with practical guidelines for enhancing their applications' security posture
An Analysis of the Effectiveness of Carbimazole as an Immunosuppressant for Managing Thyrotoxicosis
Authors: - Tukil Suresh
Published: December 2024

This paper investigates the relative effectiveness of two antithyroid drugs, Carbimazole and Propylthiouracil, in treating hyperthyroidism, a common form of thyrotoxicosis. While extensive research has been conducted on the mechanisms of each drug individually, there has been limited comparative research and research addressing patient well-being. Therefore, this study aims to fill this gap by employing both qualitative and quantitative methods, including an extensive literature review and a case study. The results suggest that Carbimazole is the more effective drug, requiring lower dosages and causing fewer side effects. Moreover, Carbimazole is associated with a lower incidence of allergic reactions compared to Propylthiouracil, making it a safer option for the majority of patients. However, patients treated with Propylthiouracil are less likely to relapse. Overall, while Carbimazole is generally considered the safer and more effective treatment for most hyperthyroid patients, the most appropriate treatment depends on individual factors such as age, gender, and medical history.
Skin Cancer Detection Using Deep Learning
Authors: - Rajguru , - Bharati S. Pochal
Published: December 2024

Cancer is a deadly disease that arises due to the growth of uncontrollable body cells. Every year, a large number of people succumb to cancer and it’s been labeled as the most serious public health snag. Cancer can develop in any part of the human anatomy, which may consist of trillions of cellules. One of the most frequent type of cancer is skin cancer which develops in the upper layer of the skin. Previously, machine learning techniques have been used for skin cancer detection using protein sequences and different kinds of imaging modalities. The drawback of the machine learning approaches is that they require human engineered features, which is a very laborious and time-taking activity. Deep learning addressed this issue to some extent by providing the facility of automatic feature extraction. In this study, convolution-based deep neural networks have been used for skin cancer detection using ISIC public dataset. Cancer detection is a sensitive issue, which is prone to errors if not timely and accurately detected. The performance of the individual machine learning models to detect cancer is limited. The combined decision of individual learners is expected to be more accurate than the individual learners. The ensemble learning technique exploits the diversity of learners to yield a better decision. Thus, the prediction accuracy can be enhanced by combing the decision of individual learners for sensitive issues such as cancer detection. In this paper, an ensemble of deep learners has been developed using learners of VGG, CNN, and ResNet for skin cancer detection. The results show that the combined decision of deep learners is superior to the finding of individual learners in terms of sensitivity, accuracy, specificity, F-score, and precision. The experimental results of this study provide a compelling reason to be applied for other disease detection
Algorithmic Aesthetics: A Critical Analysis of AI-Generated Art in the Digital Age
Authors: - V Khadake
Published: December 2024

This article examines the burgeoning role of Artificial Intelligence (AI) in the realm of art and creativity,
exploring its impact across visual arts, music, and literature. Through an analysis of key AI technologies
such as Generative Adversarial Networks (GANs) and advanced language models, we investigate how
machine learning algorithms are reshaping creative processes and challenging traditional notions of
authorship and originality. The article presents case studies of AI-generated artworks, compositions, and
writings, evaluating their reception and implications for the creative industries. Furthermore, we delve
into the ethical considerations surrounding AI in art, including issues of copyright, authenticity, and the
potential displacement of human artists. By synthesizing current research and industry developments, this
article provides a comprehensive overview of the state of AI in creative fields, offering insights into the
future of human-AI collaboration in artistic expression and the potential for new forms of creativity
enabled by technological advancements.
Bitcoin pricing and analysis
Authors: - Devansh Reddy
Published: December 2024

This research paper delves into the intricacies of Bitcoin pricing and analysis, exploring its economic implications, market behavior, and future potential. It examines the fundamental aspects of Bitcoin as a cryptocurrency, including its decentralized nature, blockchain technology, and factors influencing its value. By comparing Bitcoin's compounded annual growth rate (CAGR) with traditional assets like gold and the S&P 500 (SPY), the study highlights Bitcoin's volatility and high return potential. The paper employs a multivariate regression model to predict Bitcoin prices based on technical parameters such as transaction volume, block size, and network difficulty. Additionally, it analyzes the impact of media attention and market sentiment on Bitcoin's price fluctuations. The study concludes by forecasting Bitcoin prices for the next decade, emphasizing its viability as an investment and the need for increased institutional and retail participation in the cryptocurrency market.
Youth in Politics: A Scoping Review on the Political Behavior and Preferences of Young Filipino Voters (2000-2023)
Authors: - Gil James Amante , - Viamae Tabigue , - Jornie D. Lumintao
Published: December 2024

ABSTRACT

This scoping review mapped out the political behavior and preferences of young Filipino voters, a crucial demographic in the Philippines' electoral landscape. Synthesizing findings from (26) twenty-six studies published over the last two decades, the review identified vital factors influencing young voters' electoral choices, including social media engagement, peer influence, political ideology, socioeconomic factors, candidate characteristics, and educational background. The reviewed studies employ various methodological approaches, such as qualitative interviews and quantitative analyses. However, only (7) seven theoretical frameworks were identified across all (26) twenty-six studies. Despite a growing scholarly interest in youth participation in democratic processes, significant gaps remain in the literature. These include the need for empirical studies on the motivations behind voting choices, investigations into how preferences translate into sustained political engagement, an examination of what and how political ideologies manifest in behaviors, and longitudinal research on how these preferences evolve with socio-political changes. Moreover, the review will contribute to existing knowledge by mapping current research and offering recommendations for future studies aimed at enhancing political engagement strategies tailored to young Filipinos.
Neuroplasticity and Cognitive Enhancement through Gamified Learning: Psychological and Neurophysiological Perspectives
Authors: - Aman Kumar , - Tarun Sharma , - Sonu Soby Varghese , - Archana Mishra
Published: December 2024

Neuroplasticity, the brain’s intrinsic ability to reorganize itself, plays a pivotal role in cognitive development and adaptation. Gamified learning, which integrates game mechanics into non-game contexts like education, has emerged as a powerful tool for enhancing cognitive growth. This paper explores the relationship between gamification and neuroplastic changes, focusing on its impact on brain networks, cognitive skills, and emotional regulation. By adopting a multi-disciplinary approach that combines neuroscience, educational psychology, and behavioral science, the study highlights the mechanisms through which gamified interventions optimize learning outcomes. The paper also examines ethical considerations, challenges in ensuring equitable access, and future directions for integrating gamified learning into diverse educational systems.
The Ethical Dilemma of Facial Recognition in the Digital Age
Authors: - Aditya Dnyaneshwar Kadlag
Published: December 2024

A game-changer, facial recognition technology has uses in marketing, convenience, security, and law enforcement. Even though its use has increased quickly, there are serious privacy, cultural, and ethical issues with it. The development, present state, and prospects of facial recognition systems are examined in this article, along with its advantages, disadvantages, and social effects. Along with the requirement for strong legal frameworks, privacy threats, surveillance, bias, and discrimination are important concerns. The responsible development of facial recognition technology can strike a balance between innovation and ethical considerations by encouraging collaboration among stakeholders, guaranteeing that it protects fundamental rights and serves the public good.
Finance Receipting using Robotic Process Automation
Authors: - Manoj J , - Mohammed Maaz Rehman , - Anjan GM , - Prasad PS
Published: December 2024

Automation of a back-office process which has a volume of 25000 receipts per month. The information is structured with pre-determined rules and conditions. The process has 10% of exceptions and also involves the use of paper. The source file is downloaded from SAP application, from which data is retrieved. Based on transaction type, client details are segregated as either ups, cash, cheque, online banking or card. Segregated user information is fed into the web application. For each Receipt number, templates are used to generate receipts and the same is mailed to the vendor specified in the source file. Each transaction has its own template type, which is available in the File Server.
Role of Homoeopathic Medicine in a Case of Corns - A Case Report
Authors: - Vinoliyajaini G , - Dhanusree V A , - Bencitha Horrence Mary D
Published: December 2024

Corns are the thickened, raised skin lesions that are frequently found on the soles of the palms and feet. Excessive pressure, rubbing, or friction on the epidermis can cause corns to develop. A majority of corns are caused as a result of the footwear a person is wearing. It is not a viral, bacterial or fungal disease. Corn consist of thickened layers of skin that the body has formed as a barrier to protect the skin and its inner layers from outside pressures. In other system of medicines, the only treatment is excision or removing by mechanical way, which usually gave only temporary relief. Treatment for corns is required only if it cause any discomfort for daily day-to-day activities. In most of the cases, by simply eliminating the source of friction or pressure makes corns to disappear by its own. Homeopathic remedies for corn decrease the severity of symptoms, the likelihood of recurrence, and the need for surgical intervention, thereby increasing patients' quality of life. Homeopathic remedies for corn decrease the severity of symptoms, the likelihood of recurrence, and the need for surgical intervention, thereby increasing patients' quality of life. A case of 45 year old female came with a complaint of hard and rough skin over the both big toes and middle toe and left index toe since 6 years. Here we are treating the case of Corn with the homoeopathic similimum on the basis of repertorization of totality of symptoms. The case was treated with Antimonium Crudum.
Enhancement of Siamese Neural Network for Improved Signature Fraud Detection
Authors: - Marevil E. Catugas , - Christelle Joyce M. Cerezo , - Raymund M. Dioses , - Khatalyn E. Mata
Published: December 2024

This study enhances the Siamese Neural Network (SNN) in detecting signature fraud detection by addressing its critical challenges in feature extraction, difficulty handling class imbalances, and computational inefficiency. SMOTE was employed to balance the dataset, optimized training methodologies were applied, and the network architecture was redesigned to improve performance and scalability. Experimental evaluations were conducted using publicly available datasets, CEDAR and BHSig260, under a writer-independent setup, where the model was trained on one group of individuals and tested on unseen writers. The enhanced model demonstrated substantial improvements in performance metrics. The enhanced model achieved significant performance improvements, with accuracy rising from 67.61% to 99.65%, and F1-score from 0.0000 to 0.9944, with ROC-AUC from 0.5000 to 0.9989, The findings highlight the enhanced model's effectiveness in real-world applications, reinforcing public document security associated with signature forgery. This research contributes to the growing field of biometric verification, offering a scalable and adaptable solution tailored for the evolving demands of signature authentication.
Effect of gel-biofertilizers and potassium on growth, yield and economics of aerobic rice
Authors: Kancharla Cris John Sanjeev , Singh Shikha
Published: December 2024

Water scarcity and global food requirements are two major issues currently that need to be dealt with as soon as possible. Aerobic rice, grown without submergence and requiring occasional irrigation, offers a sustainable solution to water scarcity, contributing to sustainable agriculture. In the present study, nine experimental treatments, consisting of application methods of gel-biofertilizers (seed treatment, soil treatment, and seed + soil treatment) and split application of potassium (at basal, 30DAS, and 50DAS), along with one control, were replicated thrice. Results revealed that application of gel-biofertilizers as seed and soil treatment along with 3 equal splits of potassium recorded significantly higher plant height (97.65 cm), dry weight (27.08 g), panicles/m² (267.20), grain yield (3.35 t/ha), and stover yield (7.47 t/ha). Maximum gross returns (1,80,311.47 INR/ha), net returns (1,10,126.61 INR/ha), and benefit:cost ratio (1.57) were also recorded with the same treatment. Hence it is concluded that application of gel-biofertilizers as seed and soil treatment along with 75% recommended dose of fertilizers with 3 split applications of potassium gives a higher benefit:cost ratio over control (100% RDF).