bluuebunny/crossref_metadata_2025 huggingface dataset:
Pemilihan Wisudawan Terbaik Menggunakan Sistem Pendukung Keputusan dengan Metode Profile Matching
Authors: Ermawati Yuli , Zulkarnain Zulkarnain , Majalista Riya
Published: December 2024

The selection of the best graduate is an important process in the graduation ceremony to recognize students who have demonstrated outstanding academic and non-academic achievements during their studies. However, this process often faces challenges, particularly regarding the subjectivity and complexity of assessment. Therefore, a Decision Support System (DSS) is needed to assist in determining the best graduate objectively and transparently. The criteria used include academic achievements (GPA), involvement in organizational activities, non-academic achievements, attendance, and social contributions. Each criterion is weighted according to its level of importance. With the implementation of this DSS, it is hoped that the selection of the best graduate can be conducted more effectively, efficiently, and fairly. Testing results show that this system can provide accurate results that meet stakeholder expectations.
Upaya Meningkatkan Hasil Belajar Siswa pada Mata Pelajaran IPAS Menggunakan Media Ular Tangga Berbasis Digital di Kelas V SDN 101766 Bandar Setia
Authors: Sari Wulan Tahnia , Harahap Yulia Sari , Ningsih Ayu Melati , Nurhafni Nurhafni , Ritonga Farhan Ardian
Published: December 2024

This study aims to determine the learning outcomes of students in Magnet material using digital-based snake and ladder media in grade V of SD Negeri 101766 Bandar Setia. The method used is Classroom Action Research (PTK) which consists of 4 stages of activities in each cycle consisting of action planning, implementation of actions, observation/data collection and finally reflection. The subjects in this study are 24 students in class V of SD Negeri 101766 Bandar Setia. The instruments used in this study are multiple-choice test questions as many as 10 questions and an assessment rubric. The data collection technique uses direct observation techniques and uses quantitative data analysis techniques. The results of the research from the implementation of two cycles, where in the pre-cycle stage obtained student learning outcomes with an average of 65.83, then carried out the first cycle obtained a learning outcome score with an average of 75.42 which increased from pre-cycle to cycle I of 9.59. Finally, conducting cycle II obtained a learning outcome score of 82.08 which increased from cycle I to cycle II of 6.66. It can be concluded that the use of digital-based snake and ladder media can improve students' social science learning outcomes
Pathologists’ perception of and response to their role in the management of suicide deaths in a middle-income, culturally diverse country
Authors: Ohayi Samuel , Ezeme Mark , Igwe Monday
Published: December 2024

Introduction
Pathologists through autopsies improve suicide data accuracy. Studies show that autopsy is less likely in suspected suicide than in other unnatural deaths. This work assessed Nigerian pathologists’ perception and attitude to their role in suicide management.
Methods
In this prospective, cross-sectional study, an online questionnaire was used to collect data from pathologists (consultants and residents) practising in our country.
Results
Fifty-three pathologists (20%) returned completed questionnaire; most were males (73.6%), aged from 31 – 40 year (35.8%), Christians (84.9%), of Yoruba ethnicity (35.8%) and practise in our country’s South West (39.6%). Eleven (20.8%) respondents had history of declining autopsy requests; 9 (81.8%) each identified sociocultural characteristics of society and survivors or decedents and an “obvious” cause/manner of death as reasons for declining autopsy request while 4 (36.4%) identified poor remuneration. Also, Pathologist’s demographic characteristics significantly affect their choice to perform or decline autopsy. Concerning degree of influence of identified factors, 7 (63.6%) respondents rated social circumstances around a suicide event as very strong while 4 (36.4%) rated “obvious” cause/manner of death as very weak. Twenty (37.7%) and 13 (24.5%) respondents believe that suicide diagnosis should be communicated to survivors by pathologists and police respectively. Respondents’s rank (p-value = .024) significantly affect opinion of who should communicate autopsy diagnosis while lenght of practise does not (p-value = .872).
Conclusion
Overall, Nigerian pathologists’ attitude to their role in suicide management is not favorable. Their performance of this role is negatively affected by social factors surrounding a suicide event.
Penetapan Asal Usul Anak Sebagai Alternatif Meningkatkan Kota Layak Anak (KLA) Studi di Kabupaten Bireuen
Authors: Bardan Fadhilah
Published: December 2024

Tujuan penelitian ini adalah untuk menggali implikasi dari penetapan asal-usul anak agar pemenuhan hak-hak anak di wilayah Kabupaten Bireuen tetap terjaga, terutama dalam konteks capaian status “Kota Layak Anak.” Dalam situasi di mana perkawinan tidak tercatat, istri dan anak yang dilahirkan dalam pernikahan tersebut menghadapi beberapa masalah hukum. Anak yang lahir dalam perkawinan yang tidak tercatat hanya memiliki hubungan perdata dengan ibunya dan keluarga ibunya, dan seringkali tidak memiliki identitas resmi. Penelitian ini juga bertujuan untuk merekomendasikan alternatif bagi pemerintah Kabupaten Bireuen dalam meningkatkan status dari Pratama menjadi Madya Metode yang digunakan adalah pendekatan yuridis empiris, yang menggabungkan data sekunder (dari bahan hukum) dengan data primer yang diperoleh dari lapangan. Hasil penelitian menunjukkan bahwa akibat hukum dari penetapan asal-usul anak adalah sebagaimana diatur dalam Pasal 280 KUH Perdata. Dengan adanya pengakuan anak di luar perkawinan tidak tercatat, timbul hubungan perdata antara anak tersebut dengan bapak dan ibunya, sebagaimana anak yang sah. Pemenuhan hak-hak anak yang terabaikan di wilayah Kabupaten Bireuen dapat dicapai melalui penerbitan akta kelahiran yang merupakan implikasi dari penetapan asal-usul anak untuk meningkatkan status KLA.
Peran Hukum Islam dalam Membentuk Karakter Berempati Bagi Masyarakat Aceh
Authors: Amin Maimun Abdurrahman , Rijal Fakhrul
Published: December 2024

The implementation of Islamic law in Aceh is not only aimed at maintaining social order but also at shaping empathetic character among the community. However, specific aspects related to the development of empathy have not received sufficient attention in previous research, which mostly focused on rule enforcement and sanctions. This study aims to explore the role of Islamic law in fostering an empathetic character in Aceh society. The method used is a descriptive qualitative approach involving in-depth interviews, participatory observations, and document analysis. The results show that the implementation of Islamic law in Aceh is effective not only in maintaining order but also in significantly shaping the empathetic character of the community. Social activities such as zakat and mutual assistance serve as effective means to foster care and solidarity among the people. This study concludes that Islamic law in Aceh has a strong social dimension and can create a more harmonious community that is empathetic and sensitive to the needs of others. The contribution of this study is to provide a deeper understanding of the social dimension of Islamic law, particularly in fostering empathetic character, which has not been widely addressed in previous studies.
Menjaga Kesejahteraan Anak Dalam Perceraian Tinjauan Hukum Keluarga Islam
Authors: Umar Fazlon
Published: December 2024

Penelitian ini bertujuan untuk mengevaluasi perlindungan hak anak dalam situasi perceraian menurut hukum keluarga Islam. Perceraian sering kali menjadi masalah dalam kehidupan keluarga dan dapat berdampak negatif pada anak-anak. Oleh karena itu, memahami bagaimana hukum keluarga Islam melindungi hak-hak anak dalam konteks perceraian menjadi penting. Metode penelitian yang digunakan adalah pendekatan hukum normatif dengan analisis studi kepustakaan. Data yang diteliti mencakup bahan hukum yang relevan seperti Al-Qur'an, Hadis, serta pandangan ulama dan ahli hukum Islam mengenai perceraian dan perlindungan hak anak. Temuan penelitian menunjukkan bahwa hukum keluarga Islam memberikan perhatian yang signifikan terhadap perlindungan hak anak dalam perceraian. Hukum Islam menekankan pentingnya menjaga integritas keluarga dan kesejahteraan anak sebagai prioritas utama. Dalam konteks perceraian, kedua orang tua memiliki tanggung jawab besar untuk melindungi hak anak, termasuk hak atas kehidupan, pendidikan, kesehatan, dan keselamatan. Hukum keluarga Islam juga memberikan pedoman yang jelas mengenai prosedur perceraian dan hak-hak anak setelah perceraian terjadi. Terkait penitipan anak, hukum Islam mendorong orang tua untuk mencapai kesepakatan yang adil demi kepentingan terbaik anak. Namun, jika tidak ada kesepakatan, hakim akan memutuskan berdasarkan prinsip keadilan dan kepentingan terbaik anak.
Sifat-Sifat Ketuhanan Dan Komunikasi Islam (Kajian Tafsir Surat Al-Qashash Ayat 68-70)
Authors: M. Gade Ahyar
Published: December 2024

Banyak ayat Al-Qur`an yang menjelaskan tentang Allah sebagai Tuhan Yang Maha Esa, Tuhan yang patut disembah, Tuhan yang memiliki kekuasaan langit dan bumi serta segala isinya. Dari beberapa ayat tersebut, di antaranya adalah yang terdapat dalam surat Al-Qashash ayat 68-70. Kajian ini bertujuan untuk mengkaji sifat-sifat ketuhanan Allah Swt yang terdapat dalam Al-Qur`an surat Al-Qashash ayat 68-70. Jenis penelitian yang digunakan dalam pembahasan ini adalah penelitian kepustakaan atau library research, yakni penelitian yang dilakukan melalui mengumpulkan data-data melalui buku-buku yang relevan dengan topik pembahasan. Adapun hasil kajiannya adalah dalam Alquran surat al-Qashash ayat 68-70 menjelaskan beberapa sifat Ketuhanan yang wajib diyakini oleh manusia selaka hamba Tuhan. Sifat-sifat Ketuhanan tersebut adalah Allah Maha Pencipta, Allah bebas menentukan pilihan-Nya, Allah Maha Suci, Allah Maha Mengetahui, Allah Maha Esa (tidak ada Tuhan selain Allah), Allah yang berhak dipuji, Allah Maha Bijaksana, dan hanya kepada Allah kita akan kembali.
Analisis Pesan Dakwah Pada Novel “Dalam Sujud Dia Menyentuhku” Karya Fahri F. Fathoni
Authors: Marsela Marsela , Sihabuddin M Amin , Walian Anang
Published: December 2024

Penelitian ini membahas tentang “Analisis Pesan Dakwah Pada Novel Dalam Sujud Dia Menyentuhku Karya Fahri F. Fathoni.”Dengan permasalahan dalam penelitian ini adalah Apa pesan dakwah yang terkandung Pada Novel Dalam Sujud Dia Menyentuhku Karya Fahri F. Fathoni dan Bagaimana imajinasi Fahri F. Fathoni dalam kemasan cerita novel “Dalam Sujud Dia Menyentuhku” Kesan bagi pembaca. Berdasarkan permasalahan tersebut maka Tujuan penelitian ini adalah untuk mengetahui pesan dakwah yang terkandung pada novel “Dalam Sujud Dia Menyentuhku” Karya Fahri F. Fathoni dan untuk mengetahui imajinasi Fahri F. Fathoni dalam kemasan cerita novel “Dalam Sujud Dia Menyentuhku” kesan bagi pembaca. Metodelogi Penelitian yang digunakan adalah menggunakan metode pendekatan kualitatif, Data yang di gunakan adalah uraian cerita yang terdapat pada dialog dan paragraf-paragraf yang terdapat di dalam novel. Dengan menggunakan teknik Analisis Isi (content analysis). Sumber data yang digunakan adalah sumber data primer, yaitu sumber informasi dari satu buah novel Dalam Sujud Dia Menyentuhku Karya Fahri F. Fathoni dan data sekunder, yaitu data yang dijadikan bahan penunjang seperti skripsi, jurnal, buku, dan web. Teknik pengumpulan data yang digunakan yaitu teknik observasi dan teknik dikoumentasi. Hasil dari penelitian ini adalah terkandung beberapa pesan dakwah didalamnya dan dikategorikan menjadi tiga bagian, yaitu: pesan Aqidah (Iman kepada Allah, Iman kepada Malaikat, Iman kepada Kitab, Iman kepada Rasul, Iman kepada Qadha dan Qadhar, dan Iman kepada Hari Akhir), Pesan Syariah (Ibadah dan Muamalah) dan pesan Akhlak (Akhlak kepada Allah, Akhlak kepada Manusia, dan Akhlak kepada lingkugan). setelah di lakukan analisis terdapat banyak sekali pesan dakwah yang terkandung dalam novel tersebut, dan dibuktikan dengan di setiap kalimat atau dialog yang terdapat makna pesan dakwah. sehingga pengarang berimajinasi pada novel dalam sujud dia menyentuhku karya Fahri F. Fathoni ini dapat memberikan kesan bagi pembaca seolah-olah menganggap cerita dalam novel tersebut seperti kisah nyata dan banyak pesan moral yang disampaikan di dalamnya.
Prilaku Simbolis Jama’ah Tabligh
Authors: Fakhri Fakhri
Published: December 2024

Symbolic behavior in the context of the Tablighi Jama'ah includes various practices, including the use of typical clothing, the practice of shaking hands, the practice of eating together, the way of walking, and the emphasis on preaching and religious activities. Some people see this symbolic behavior as a form of expression of strong faith, while others see it as self-isolation.This research uses a descriptive method with a phenomenological approach. Primary data sources and secondary data, primary data sources in this research are works and books which are the main guidelines for the Tablighi Jama'ah. Meanwhile, secondary data from this research are the works of experts in their respective fields. The research results show that the religious symbols and behavior practiced by the Tablighi Jama'ah have given rise to various interpretations among Muslims. These differences in interpretation are caused by differences in viewpoints in understanding one group versus another, which can lead to divisions. Even though Islam is a religion of rahmatan lil 'alamin which protects all its adherents.
Peran Tengku Dayah dalam pengembangan masyarakat Islam di Aceh
Authors: Muhibuddin Muhibuddin
Published: December 2024

Artikel ini mengkaji peran penting Teungku Dayah dalam pengembangan masyarakat Islam di Aceh. Teungku Dayah bukan hanya sebagai guru agama, tetapi juga berfungsi sebagai pemimpin masyarakat, agen pembangunan, dan penjaga tradisi. Penelitian ini bertujuan untuk menguraikan dan menganalisis berbagai peran yang dimainkan oleh Teungku Dayah dalam pengembangan masyarakat Islam di Aceh. Kajian ini merupakan kajian kualitatif dengan teknik pengumpulan data melalui studi kepustakaan. Hasil kajian ditemukan bahwa Teungku Dayah memberikan kontribusi besar dalam pengembangan masyarakat melalui beberapa cara. Pertama, mereka berperan sebagai pendidik yang membimbing peserta didiknya dalam memahami dan mengamalkan ajaran Islam. Kedua, mereka berfungsi sebagai agen pembangunan yang berupaya meningkatkan kualitas hidup masyarakat melalui pendidikan dan pengembangan sumber daya manusia. Ketiga, mereka melestarikan pendidikan tradisional yang masih menganut sistem pengajaran klasik, sekaligus menanamkan nilai-nilai yang sesuai dengan syariat Islam. Terakhir, mereka membantu dalam pengembangan kepribadian masyarakat Aceh, membentuk masyarakat yang bermartabat dan berperadaban.
Navigating Relational Challenges
Authors:   , Zoppolat Giulia Teresa
Published: December 2024

The quality of our lives is greatly shaped by the quality of our closest relationships, such as with our romantic partners. When these relationships are satisfying, they can buffer us from the challenges of life and help manage difficulties situations. However, sustaining high quality relationships is not easy, even for the happiest of couples. The present dissertation examines two key challenges that romantic partners commonly face over the course of their relationship. Specifically, in two parts, it examines (Part I) how people experience ambivalence (i.e., both positive and negative feelings) towards a partner and (Part II) the implications of mindless attention (i.e., being inattentive in partner interactions) for relationship quality and partner perceptions. By using experimental, daily diary, and longitudinal assessments, the studies in the present dissertation examine how ambivalence and mindful attention is experienced in daily life, in moment-to-moment interactions, and over time, advancing understanding of two key challenges couples face in their relationship, and the implications for personal and relational well-being. We found that 1) people struggle with the mixed feelings toward their partner, but primarily when explicitly feeling torn between their evaluations, 2) these mixed evaluations have implications for the quality of the relationship and for personal well-being, but 3) these implications for relationships are not always destructive, and 4) these feelings of ambivalence are sensitive to situations that are threatening to the stability of the bond. Further, we found that 5) distracted attention due to technology can undermine relational quality, but 6) that this vulnerability may particularly occur in contexts of heightened stress, and 7) that people who are more mindfully attentive in their relationship may benefit in that they form less exaggerated estimations of their partner’s negative emotions during conflict. Overall, while research on ambivalence and mindful attention is still young within relationship science, we hope to have contributed new and nuanced insights into how people experience these common challenges in their relationships.
Vietnam's renewable energy industry's approach to market development Impact of Smart grid systems and renewable energy sources integration
Authors: Khoa Bui Quoc , Nguyen Hoang-Tien , Lan Tran Thi Ngoc , Duc Le Doan Minh , Hai Do Huu , Thong Le Ngoc
Published: December 2024

The integration of renewable energy sources into smart grid systems is crucial for achieving a sustainable and efficient energy future. However, this integration presents various challenges due to the intermittent and variable nature of renewable energy, grid stability and reliability issues, infrastructure limitations, and regulatory hurdles. This article explores these challenges and discusses potential solutions and opportunities for successful integration. Advanced forecasting techniques, flexible grid management strategies, energy storage systems, smart grid technologies, and supportive policy frameworks are identified as key enablers. The article also presents case studies of successful integration projects and highlights ongoing research and pilot initiatives. Future research directions, including emerging technologies like blockchain and artificial intelligence, interdisciplinary collaboration, and recommendations for policymakers and industry stakeholders, are discussed. The article concludes by emphasizing the importance of continued research and innovation in driving the transition towards a sustainable energy future through the successful integration of renewable energy sources into smart grid systems.
The article analyses the market development strategies of renewable energy enterprises in Vietnam. Using primary and secondary research data, the article pointed out the shortcomings in the strategic stages of market development of enterprises. From there, the article proposes some solutions to complete the market development strategy to improve operational efficiency of the renewable energy business. In addition, a number of macro-level policies are also proposed to improve the general situation of the industry so that enterprises thereof can implement their own development direction in accordance with their own actual situation.
The realization of thematic progression in argumentative essays by third-year English-majored students at a public university in Vietnam
Authors: Pham Phuc Thanh
Published: December 2024

Text coherence remains a challenge for both teachers and students in ESL/EFL writing courses. Text coherence is determined by thematic progression patterns, which describe the organization of theme and rheme in a text. Using a qualitative research approach, this study aims to analyze the thematic progression patterns in argumentative essays written by third-year English-majored students at a public university in Vietnam. It was found that simple linear thematic progression was the most popular pattern in the students’ argumentative essays. The study hopes to contribute to the field as a reference for teaching academic writing to English-majored students at the tertiary level in Vietnam.
Devoção Mariana no Brasil: uma longform acerca do Santuário Nossa Senhora Aparecida em Astorga-PR
Authors: Bachião Francielli Aparecida
Published: December 2024

A Igreja Católica e a devoção mariana estão presentes no Brasil desde o descobrimento há mais de 500 anos com a chegada dos colonizadores portugueses. Quando os três pescadores encontraram a Santa Negra no Rio Paraíba do Sul foi um sinal de milagre e salvação para toda uma nação. A Santa ganhou algumas casas até estar situada no Santuário Nacional, na Estância Turística de Aparecida, interior de São Paulo, onde todo ano peregrinos dirigem-se ao Santuário com vistas a cumprir promessas, seja durante o ano, seja nos dias festivos em outubro, mês dedicado à Santa. Um pouco menos conhecido, outro Santuário no Brasil é dedicado à Mãe Aparecida, localizado no município de Astorga, no Estado do Paraná, local objeto deste trabalho. Astorga inaugurou uma paróquia para os fiéis e, posteriormente, em 1962, foi inaugurada a Matriz São Sebastião, padroeiro do município. No dia da inauguração os fiéis receberam o comunicado do Vaticano de que a igreja receberia o título de Santuário Nossa Senhora Aparecida. Este projeto em andamento propõe a produção de uma grande reportagem literária, no formato longform, um produto online, apresentando a história do Santuário Astorga, o porque se tornou Santuário dedicado a Nossa Senhora Aparecida, a grandiosa festa em outubro dedicada à Mãe Aparecida e os testemunhos alcançados a partir desta fé mariana.
Effective Strategies for Enhancing Medication Adherence and Compliance to Improve Patient Outcomes
Authors:   PharmacyManager Weatherwax Family Pharmacies Inc Spring Arbor, Michigan, USA, Andy Adinarayana
Published: December 2024

In order to improve patient outcomes, it examines practical methods for boosting drug adherence and compliance.
Medication adherence is critical to attaining intended treatment outcomes and is impacted by a number of variables,
such as the nature of the medical illness, patient-related features, therapy-related complications, and the dynamics of
the healthcare system. The World Health Organization highlights the significance of adherence programs in the field
of public health, positing that enhanced adherence may yield greater benefits than improvements in specific medical
treatments.
This review addresses the obstacles to adherence. It promotes a patient-centered care strategy that strengthens the
bond between doctors and patients and invites them to actively participate in their care decisions. And also
emphasizes the potential for improved medication adherence to result in better health outcomes and lower healthcare
costs by putting in place customized training tools, enhancing communication tactics, and addressing systemic
healthcare challenges. In the end, a multimodal strategy is necessary to get over obstacles and encourage adherence,
which will enhance public health in general.
Key words
Medication Adherence , Patient –Centered Care, Healthcare Communication, Barriers to compliance, Health
Outcomes, Health Literacy, Chronic Conditions
Optimization Techniques for Complex Queries in Redshift and BigQuery
Authors: Lakshmanasamy Rameshbabu
Published: December 2024

Query optimization becomes particularly relevant in big data analytics systems due to the need that is required. Such
environments are faced with queries involving joins aggregation and sorting of terabytes or petabytes of data. If we
have them in their nonoptimized forms, finishing these queries could take hours or days if the results are required in
a real-time or near real-time fashion. Query optimization covers data retrieval processes and eliminates the difficulties
of searching for data not required, hence making them faster and charging less computational power.

Keywords:
Amazon Redshift, Google BigQuery, Query Optimization, Performance, MPP
Featurizing Chemical Formulas for Machine Learning Applications: A Comprehensive Analysis
Authors: Sreerambatla Saandeep
Published: December 2024

In the era of materials informatics, the ability to extract meaningful features from chemical
formulas is crucial for the development of predictive models in materials science. This study focuses on the process
of featurizing chemical formulas using various state-of-the-art chemical informatics tools including Matminer,
Pymatgen, RDKit, ChemML, and MolSimplify. We explore the methodologies for generating machine learning
features from these formulas and compare the effectiveness and efficiency of these tools in capturing the essential
characteristics of materials. Our findings demonstrate the potential of these tools to transform raw chemical data
into insightful features, thereby enhancing the predictive power of machine learning models in materials science.
This research provides a comprehensive guide for researchers aiming to leverage chemical informatics for materials
discovery and optimization.
Detecting Data Leaks due to SQL Injection
Authors: Pawar Abhishek , Kapadnis Nikita , Joshi Pallavi , Kalyankar Vishwjeet , Gharat Raj , Khokle Vedant
Published: December 2024

Abstract—SQL injection is a prevalent web application vulner-
ability that allows attackers to manipulate database queries, often

leading to severe data leaks. This paper surveys existing research
on SQL injection attacks and various detection and prevention

techniques. We explore classical and modern approaches, includ-
ing machine learning paradigms, input verification methods, and

parameterized query techniques. By examining the strengths and

weaknesses of these approaches, this paper proposes a compre-
hensive prevention framework. The challenges, limitations, and

future directions for enhancing SQL injection security are also
discussed.
Index Terms—SQL, vulnerability, queries, leaks, approaches,
prevention, machine learning, parameterized query, framework,
injection
Synergizing Federated AI Systems with Circular Economy Principles: A Framework for Sustainable and Resilient Data Science
Authors: Kumar Dr. Pramod , Kumar Mr. Vikas , Gautam Mr. Rahul
Published: December 2024

The convergence of Federated Artificial Intelligence (AI) systems and Circular Economy (CE) principles marks a
transformative approach to sustainable and resilient data science. Federated AI, with its decentralized architecture
and emphasis on data privacy, seamlessly integrates with CE's objectives of maximizing resource efficiency, reducing
waste, and fostering closed-loop systems. This paper proposes a novel framework that synergizes CE principles with
Federated AI to address persistent challenges, including data siloing, scalability, energy efficiency, and environmental

sustainability. The framework leverages adaptive learning models and resource-aware algorithms to optimize data-
driven decision-making across applications such as smart city development, sustainable supply chain management,

and renewable energy optimization. Through rigorous simulations and real-world case studies, the study
demonstrates measurable improvements: a 20–30% increase in resource efficiency and a marked reduction in
computational energy consumption compared to traditional centralized AI systems. These findings highlight the
transformative potential of Federated AI in driving circular and sustainable ecosystems. The research also contributes
to ethical AI discourse, providing actionable insights for policymakers, academics, and industry leaders to harmonize
AI advancements with global sustainability imperatives.
Mental Health and Well-being Programs for Pharma Employees
Authors: Mishra Lucky
Published: December 2024

The pharmaceutical industry is renowned for its high-pressure environment, where employees face challenges such
as tight deadlines, regulatory compliance, and ethical dilemmas. These factors contribute to mental health issues
like stress, burnout, and anxiety, which can significantly affect productivity and overall organizational success. This
research examines the importance of mental health and well-being programs in the pharmaceutical sector,
highlighting their effectiveness, limitations, and potential for improvement. It also underscores the critical role of
leadership and HR in fostering a supportive culture that prioritizes employee well-being.
Keywords
Mental health, workplace stress.
Research Paper on Economic Survey of Infrastructure Sector
Authors: Awate Abhishek
Published: December 2024

This paper provides an overview of the current state of the infrastructure industry, focusing on economic trends,
challenges, and opportunities. It analyzes key sectors, investment flows, and policy implications, drawing on data
from various sources, including government reports, industry analyses, and international organizations. Economic
Survey 2023-24 has been released on 22nd July 2024. Every year, the Ministry of Finance publishes a report called
the Economic Survey of India. This report usually comes out a day before the Union Budget is presented in the
Parliament.
KEYWORDS:
Budget, Infrastructure
A Review on the Role of Generative AI in Personalization and Recommendation Systems
Authors: Das Mr. Subham Kumar , Sahoo Mr. Ayush , Soni Dr. Goldi
Published: December 2024

Utilizing past behaviour data and forecasting
future actions, recommender systems offer users individualized
service support. Recommender systems have naturally
incorporated artificial intelligence (AI), particularly
computational intelligence and machine learning techniques
and algorithms, to improve prediction accuracy and tackle
problems with data sparsity and cold start. In-depth discussions
of recommender system fundamentals and current practices are
provided in this position paper, along with an analysis of how
artificial intelligence (AI) might advance the field's
technological advancements and applications. This study
highlights fresh research paths and addresses current research
difficulties in addition to reviewing recent theoretical and
practical achievements. The work thoroughly examines a range
of concerns pertaining to artificial intelligence (AI)
recommender systems. Additionally, it assesses the progress
made in these systems through the use of AI methods such as
neural networks and deep learning, fuzzy approaches, transfer
learning, genetic algorithms, evolutionary algorithms, and
active learning.
Key Words: Generative AI, Recommendation Systems,
Content based recommendation systems, Reinforcement
Learning, Deep Neural Network.
Measurement of Thermal Conductivity of ZnO and SiO2 Water Based Nanofluids
Authors: Salman Mohammad , Rehman Shuja , Khan Ajiv Alam
Published: December 2024

The preparation and definition of thermal characteristics of novel-type nanofluids are critical
for understanding the fluidity mechanism of nanofluids and selecting appropriate nanofluids for
application. This study seeks to give an alternative fluid for various applications and to fill a new type of
nanofluid requirement in the literature that has been identified by many research groups. In this study, a
water-based ZnO-SiO2 nanofluid is synthesized in two steps, and the thermal conductivity values are
experimentally determined. It is found that thermal conductivity increases with the increase in the
concentration of particles. The maximum deviation ofthermal conductivity of SiO2 nanofluid is found to
be 1.30% whereas in the case of ZnO nanofluid it is found to be 2.65%.
A Deep Learning Approach for Real Time Road Damage Detection via Image Processing
Authors: Vivek D , Supriya G. , Chaitanya G. Sri , Dash Priyanka
Published: December 2024

Due to the use of subpar building materials in the
construction of road drainage systems, traffic accident
identification and prevention are becoming
increasingly tough and challenging issues in India.
The aforementioned issues lead to early road
deterioration and potholes, which result in accidents.
An estimated 4,64,910 incidents occur in India
annually, according to a report published by the
Ministry of Road Transport and Highways' transport
research wing in New Delhi. This study suggested a
deep learning-based approach that uses photos to
identify potholes early, lowering the risk of an
accident. Inception-V2, Faster Region-based
Convolutional Neural Network (F-RCNN), and
Transfer Learning serve as the fundamental
foundations for this model.There are fewer pothole
recognition models that just use machine learning
methods to detect potholes, but several models
combine machine learning methods with
accelerometer data (without the need for images). The
study's results show that our proposed model
outperforms other pothole detecting techniques
currently in use.
Using Technological Advancements - Changing the Banking Sector's Face Value in World Market
Authors:   NSHM Business School, NSHM Knowledge Campus, Durgapur West Bengal, India,, Mukherjee Prof. Namrata
Published: December 2024

This research paper analyses the outcome of the continuous evolvement of banking industry, it is undergoing
significant change because of technological advancements that are improving client satisfaction, efficiency, and
security while also changing conventional financial practices. The use of cutting-edge technologies like cloud
computing, blockchain, big data analytics, and artificial intelligence (AI) has completely changed how banksfunction
and engage with their clientele. These developments make it possible for smooth online transactions, individualized
financial services, and enhanced decision-making. Moreover, risk management, fraud detection, and regulatory
compliance are all improved by the combination of automation and machine learning. Traditional banks are under
more and more pressure to compete by utilizing technology to fulfil changing client expectations as fintech and digital
banking platforms gain traction. The industry is embracing change to guarantee accessibility, scalability, and
resilience through projects like decentralized finance (DeFi), improved mobile banking apps, and biometric security
measures. In addition to increasing operational efficiency, the ongoing advancement of technology enables banks to
make substantial contributions to global financial inclusion and economic growth.
This essay emphasizes how important technology breakthroughs are to promoting creativity, resolving business
obstacles, and opening the door to a financial environment that is more effective, safe, and customer focused.
The Difficulties in Mathematical Problem Solving Among Secondary School Students in Wayanad District
Authors: Vijayakumar Arya
Published: December 2024

Mathematics is a skillful, thought-provoking, and logical discipline that requires proper training and consistent
learning. A successful mathematician possesses complex problem-solving skills that are applicable in various life
situations. The fundamental goal of all educational instruction is to develop skills, knowledge, and capabilities
transferable to real-world tasks beyond the classroom. A significant objective of mathematics teaching and learning
is to cultivate the ability to solve diverse complex problems. Problem-solving represents a critical component of
the mathematics curriculum, requiring students to apply and integrate numerous mathematical concepts and skills
while making sound decisions. This study aims to identify the difficulties students face while solving mathematical
problems and examines how these challenges affect their academic achievement.
Key Words: Problem Solving, Secondary School Students.
Impact of Permeable Lining of the Wall on the Peristaltic Flow of Rabinowitsch Fluid in a Vertical Channel
Authors: Chakradhar K , Ashok P , Saraswathi M , Anitha B , Sushmasri B
Published: December 2024

Rabinowitsch fluid model is a well-established model for studying the non-Newtonian nature of the
fluid This study is carried out to analyze the Rabinowitsch fluid
through flexible and symmetric vertical channel with suction and injection under peristaltic motion. Considering
long wavelength and low Reynolds number assumptions,. The present work is the mathematical investigation of
permeable lining of the wall on the peristaltic flow of Rabinowitsch fluid in vertical channel with suction and
injection . Pressure rise and the variation of various influencing parameters of the flow are studied graphically
Keywords: peristalsis,vertical channel, Rabinowitsch fluid ,porous thickness of wall, permeable wall,
Building Capabilities to Improve the Performance of Public Organizations: A Comparative Case Study of Different Turnaround Trajectories of UK's Public Hospitals
Authors: Seabra Sérgio N.
Published: December 2024

Over the past 20 years, governments in many countries around the world have sought to implement governance mechanisms to measure and assess the performance of public service organizations. Consequently, organizations considered as poorly performing are often subject to increased pressure to turn their performance around. Based on literature on organizational capabilities, this research sought to identify the capabilities whose development and use explain a public organization’s ability to improve its performance and sustain good performance in the long run. This research applied longitudinal and comparative case studies method into two Hospitals Trusts represent two different turnaround trajectories: one case of a successful turnaround and one case of less-successful turnaround. The purpose was to examine how the development of a set of capabilities over time accounted for the differences in the performance outcome and trajectory of the two cases. The findings revealed the following capabilities as advantageous for good performance: collective leadership; action-oriented culture; effective clinical-managerial relationship; supportive external context; performance control capability; coordination capability of the key delivery process; sensing capability and learning capability. These findings add relevant insights to the existing literature and can be of practical value for public managers faced with challenge of turning the performance of their organizations around.
The relationship between institutional quality, industry, energy sources and environmental quality in Bangladesh: Insights from ARDL analysis
Authors: Toufique Mohammad Mokammel Karim
Published: December 2024

This study examines how institutional quality, industrial activities, energy sources, and environmental quality are connected in Bangladesh, with a particular focus on CO2 emissions from 1990 to 2015. The research aims to evaluate how these factors contribute to environmental sustainability. Using five autoregressive distributed lag (ARDL) models, the study investigates both short- and long-term connections between CO2 emissions, gross domestic product (GDP), industrial growth, and electricity generation from different sources. It also employs the Toda-Yamamoto Granger causality test to uncover the causal links between the variables. The findings reveal that higher institutional quality helps reduce CO2 emissions, while economic growth and a reliance on nonrenewable energy increase emissions. This study provides a fresh viewpoint, showing the key role of institutional quality in promoting environmental sustainability, which contrasts with some earlier research. For policymakers, the research highlights the importance of strengthening institutional frameworks, enforcing environmental regulations, and advancing the use of cleaner energy and sustainable industrial practices. These steps are essential for supporting sustainable development in Bangladesh.
Empirical Study on Consumption Pattern of Poultry Meat in Srinagar City
Authors: Tramboo Arijmand Shahid , Khan Omar Fayaz
Published: December 2024

The consumption pattern of chicken has witnessed significant changes over the years, reflecting shifting preferences, dietary habits, and socioeconomic factors. With an increasing emphasis on health and wellness, consumers are opting for chicken as a healthier alternative to red meat. In India, the meat products sector witnessed remarkable growth, with the Gross Value Added (GVA) surpassing INR 3 trillion in 2021. The market is projected to expand further at a CAGR of 9.2%, reaching INR 3133.41 billion by 2028, driven by the escalating demand for protein-rich foods. Notably, the poultry business is thriving in Jammu and Kashmir, particularly in Kashmir, contributing significantly to this growth. This study delves into the consumption patterns of poultry meat among residents of Srinagar city, focusing on Groups- Government Employees, Private Employees, and Self-Employed individuals. Utilizing a stratified sampling technique, the research ensures representation from diverse employment sectors. The survey, encompassing 152 respondents, revealed that majority (67.8%) consumed poultry on weekly basis, with an average monthly household consumption of 7.20 kilograms, translating to a monthly expenditure of Rs 1052.63 on poultry. The study identified broiler chicken as the preferred type . Interestingly, demographic factors such as age, gender, marital status, and education level demonstrated no significant impact on poultry consumption, while household size, employment nature, number of earners, and income exhibited notable associations. Regarding consumer preferences, internal factor smell and freshness was found to be the most influential while among external factors, affordability had the greatest impact on consumer preference. Overall, internal factors had a higher influence on consumer preference, with a total mean rating of 3.5184, compared to external factors, with a total mean rating of 3.3509. Recognizing substantial impact of internal factors on consumer preference, processing companies should prioritize aligning products with these preferences through market research, innovation, quality assurance, and heightened consumer education.
Mushroom Cultivation and Rural Development in Sivaganga District of Tamil Nadu
Authors: C Vijayachandrika , R Elizabeth Rani
Published: December 2024

Mushrooms have been consumed for centuries and are recognized for their nutritional and economic potential. Their low-cost inputs, high yields, and ability to grow on agricultural waste make them an attractive agricultural venture, especially for rural communities. In Tamil Nadu, mushroom farming has seen growth due to favorable climatic conditions and increasing demand for nutritious food. The current study focuses on farm women in the Sivaganga district, particularly mushroom farmers from four self-help groups (SHGs). Using both primary and secondary data collection methods, the study evaluates these women’s role performance, awareness levels, and training needs in mushroom farming. Primary data was gathered through structured interviews, focus group discussions, and observations, while secondary sources included government reports and SHG records. The study assessed key activities such as spawn procurement, production processes, and post-harvest management, as well as the women’s access to resources and credit. Findings from the study led to the development of a multi-stakeholder, gender-sensitive entrepreneurship model for mushroom farming. This study is aims to enhance the skills and income of farm women, empowering them to become successful agripreneurs. The combined use of primary and secondary sources ensured a comprehensive analysis of the socio-economic dynamics in mushroom farming.
Inca Civilization and the Natural World: an Ecocritical Exploration of Pablo Neruda's "the Heights of Macchu Picchu"
Authors: Arju Mst Sabrina Moktar
Published: December 2024

This paper offers an ecocritical exploration of "The Heights of Macchu Picchu," regarding the complicated relationship between nature, culture, and resistance within the poem. Through a qualitative textual analysis, the study investigates Neruda's portrayal of the Andean landscape and the Inca civilization by focusing on imagery, figurative language, and thematic elements. Employing ecocritical concepts of anthropocentrism and biocentrism, the analysis seeks to discern Neruda's ecological perspective and its implications for contemporary environmental discourse. The study reveals that Neruda's poem embodies a biocentric perspective valuing nature for its intrinsic worth and emphasizing the interconnectedness of all life forms. Through vivid imagery and metaphorical language, Neruda celebrates the enduring power and majesty of the natural world and challenges traditional anthropocentric views. Additionally, the poem portrays Macchu Picchu as a symbol of resistance against cultural oppression, suggesting that cultural resistance can find sustenance in the natural world. Ultimately, this study deepens our understanding of Neruda's masterpiece and its relevance to current discussions on nature, culture, and the interconnectedness of humanity and the environment. Through Neruda's poetic vision, readers are inspired to reevaluate their relationship with the natural world and strive for a more harmonious coexistence with nature in our modern era of environmental challenges.
An Economic Downfall: Fragile Data Management Systems a Major Security Threat for Sustainable Tourism
Authors: Busra Maliha Meharin
Published: December 2024

Sustainable tourism, a rapidly growing sector that significantly contributes to global economic development, especially in developing nations reliant on natural and cultural assets. While the tourism industry is considered as an economic powerhouse, contributing to GDP and employment, the tourism industry faces increasing security vulnerabilities due to digital technology and reliance on data management systems. Fragile data management systems not only expose the industry to compromise security but also jeopardize its long-term economic sustainability. This paper explores how vulnerable data management systems in tourism pose a critical security threat to the sustainable development of tourism, undermine economic viability and ability to maintain sustainable economic growth. This study also proposes strategies to strengthen data management systems in case of tourism sector’s resilience. Through a review of case studies, industry reports, and theoretical insights this research aims to highlights also proposes actionable solutions as an urgent need for robust data governance, to secure infrastructure for mitigating security threat an inside cause of economic collapse.
Financial Institutions in Bangladesh: Assessing Performance, Risk, and Sectoral Contributions in 2023
Authors: Mallik Shuvo Kumar
Published: December 2024

Financial institutions (FIs) are vital to the economic fabric of Bangladesh, offering a range of services that support the production sector, employment generation, and overall economic growth. This study provides a comprehensive assessment of the performance, risk management practices, and sectoral contributions of FIs in Bangladesh as of end-December 2023. Utilizing data from 35 FIs, including fully government-owned, privately-owned, and jointly established institutions, the research evaluates their financial health through tools like stress testing and the CAMELS rating system. The analysis covers sources of funds, asset composition, liability-asset ratios, asset quality, profitability, capital adequacy, and liquidity. Additionally, the study examines the sector-wise concentration of loans and leases, highlighting the predominant allocation to the industry sector. The findings underscore the pivotal role of FIs in driving economic activities and provide insights into their risk profiles and performance metrics, essential for stakeholders and policymakers aiming to enhance financial stability and economic development in Bangladesh