bluuebunny/crossref_metadata_2025 huggingface dataset:
चित्रकूट धाम मंडल के विद्यार्थियों के मानसिक स्वास्थ्य और उनकी शैक्षिक उपलब्धि के बीच संबंध का अध्ययन
Authors: Tripathi Vineet Kumar , Rani Mamta
Published: January 2025

यह शोध अध्ययन चित्रकूट धाम मंडल के उच्चतर माध्यमिक विद्यालयों के विद्यार्थियों के मानसिक स्वास्थ्य और उनकी शैक्षिक उपलब्धि के बीच संबंध का विश्लेषण करता है। अध्ययन का उद्देश्य विद्यार्थियों के मानसिक स्वास्थ्य की वर्तमान स्थिति का आकलन करना और यह समझना है कि कैसे उनके मानसिक स्वास्थ्य का प्रभाव उनकी शैक्षिक प्रदर्शन और समायोजन पर पड़ता है। इसके लिए विद्यार्थियों से संबंधित विभिन्न मनोवैज्ञानिक और शैक्षिक कारकों जैसे तनाव, आत्म-सम्मान, पारिवारिक समर्थन, और विद्यालयी माहौल का मूल्यांकन किया गया। अध्ययन में सर्वेक्षण विधि का उपयोग किया गया, जिसमें विद्यार्थियों से मानसिक स्वास्थ्य और शैक्षिक उपलब्धि से जुड़े प्रश्नों पर डेटा एकत्र किया गया। प्राप्त परिणामों से यह निष्कर्ष निकला कि मानसिक स्वास्थ्य विद्यार्थियों की शैक्षिक उपलब्धियों और उनके समायोजन में एक महत्वपूर्ण भूमिका निभाता है। यह अध्ययन शिक्षा और मानसिक स्वास्थ्य को संतुलित करने के लिए नीतिगत हस्तक्षेप और परामर्श सेवाओं की आवश्यकता को रेखांकित करता है।
An analysis the financial performance in terms of Liquidity of Public Sector Bank Private Sector Bank to the credit and Deposit Ratio
Authors: Gupta Kriti , Sharma Anshuman
Published: January 2025

The investigation is crucial for the Indian economy. Due to the ever-changing nature of the Indian banking sector, it is first necessary to assess and compare the financial metrics of the nation's public and private banks. The proposed research makes several important advances to the study of banking and finance by comparing the performance measures of private and public banks in India. The study uses a sample size of two, with one bank representing the public sector (Indian Bank) and one representing the private sector (HDFC Bank). Two banks, one each from the public and private sectors, were chosen as a sample based on the size of the institutions' foundations. Primary data was collected through in-depth interviews, while secondary data was culled from select public and private sector banks' 2013-2022 annual reports.
Antimicrobial Properties of Syzygium Aromaticum Extract Against Common Uropathogenic Bacteria
Authors: Parmar Neetu , Tiwari Amit , Parmar Arjun Singh
Published: January 2025

Urinary tract infections (UTIs) cause a large burden of disease affecting 150-250 million people per year worldwide the study involved 400 urine samples from patients suspected of having UTIs who visited tertiary-care hospitals, private hospitals, and pathology centers in Rewa District from October 2021 to September 2023. Antibiotic resistance is a pressing issue, necessitating new treatments against MDR microorganisms. Essential oils, being multi-component, may offer new options to combat microbial resistance, potentially outperforming conventional antimicrobials that target a single site, particularly in E. coli.
PROGRESSIVE STANCE IN SOCIAL REFORM: A CRITICAL STUDY OF INDIRA BAI
Authors: Chandan
Published: January 2025

This research article critically examines Indira Bai, a progressive novel that reflects the social and cultural dynamics of colonial India. Centered on the life of a Brahmin girl born into a conservative yet affluent family, the narrative highlights themes of gender inequality, caste prejudices, widow remarriage, and individual agency against oppressive societal norms. The article explores the transformation of Indira Bai, a widow, into an empowered individual through education and social support. By investigating the novel's progressive stance, the paper aims to shed light on the broader socio-political implications of reformist literature in 19th-century India.
PITCHING CASTEIST PRAXIS AGAINST CHRISTIAN IDEALS: NAVIGATING COLONIAL CONFLICT IN DAVID DAVIDAR’S THE HOUSE OF BLUE MANGOES
Authors: R Mizpah , S. Prabahar
Published: January 2025

This study examines the complex interplay between casteism and Christianity in David Davidar’s novel, The House of Blue Mangoes. It explores how casteism, deeply entrenched within the socio-cultural fabric of India, conflicts with Christian ideals introduced during colonial times. The novel’s narrative is dissected to reveal how caste distinctions are perpetuated despite the Christian emphasis on equality and brotherhood. Through a detailed analysis of the characters’ experiences and the sociopolitical dynamics depicted in the novel, this paper highlights the challenges of reconciling Christian proselytisation efforts with the rigid caste structures. The findings suggest that the clash between the two ideologies often results in a superficial adoption of Christian values, which fails to dismantle the deep-seated caste prejudices. This study contributes to the understanding of religious influence on social hierarchies and offers insights into the enduring struggle against caste discrimination in India. The study exposes that despite conversion, casteism prevails in the South.
आधुनिक हिंदी साहित्य में चेतना का उदय : समाज और साहित्य की अंतर्धारा
Authors: Singh Mahendra
Published: January 2025

साहित्य में "चेतना की धारा" एक विशिष्ट कथा तकनीक है जिसका मुख्य उद्देश्य किसी पात्र के मन की आंतरिक प्रक्रियाओं को उसके विचारों और भावनाओं को निरंतर, आमतौर पर असंबद्ध और गैर-रेखीय ढंग से प्रस्तुत करके दर्शाना है। इस तकनीक को सबसे पहले जेम्स जॉयस, वर्जीनिया वूल्फ और विलियम फॉल्कनर जैसे लेखकों ने साहित्य में प्रस्तुत किया, और आज के साहित्य में इसका व्यापक उपयोग देखा जाता है। इस ब्लॉग पोस्ट में, हम चेतना की धारा की तकनीक और साहित्य में इसके प्रभावी उपयोग के तरीकों पर विस्तार से चर्चा करेंगे।
ENHANCING CYBERSECURITY IN BANKING THROUGH THE IMPLEMENTATION OF BIOMETRIC SYSTEMS: A SYSTEMATIC STUDY
Authors: L Jayasree , Beatrice B. Anuja
Published: January 2025

Security systems in corporations, public spaces, consumer electronics, and private industry are becoming more interested in biometric authentication. Businesses, individuals, and organizations are using biometric security more and more to safeguard their online spaces from attackers and other malicious actors. The term "cyber security" describes the methods, approaches, and instruments used to protect software, computer networks, data, and network systems against potential online threats. The supply of financial services via the internet is known as "cyber banking." Internet banking has expanded along with the shift in the exchange of goods. Internet banking has occasionally experienced problems with security threats, despite its advantages. Biometric security uses behavioral and physical characteristics to authenticate people. It is the most dependable and efficient physical security technique for identity verification. Biometric authentication claims that an individual's unique physical or behavioral characteristics can be used to accurately identify them. To address these concerns, a number of safety measures have been put in place across the board for the Internet banking service. Cybercrime is pervasive throughout the world and represents a serious risk to the development of criminal or terrorist activity. These dangers have the potential to jeopardize both internal and external security if they are not addressed through a single authority. Unnoticed cybercrimes result in the loss of money and personal data. Attacks have previously been launched against information infrastructure and internet services. Hacker attacks and online fraud are just two instances of the frequent crimes involving computers. The Internet of Things, or IoT, is the most dependable platform for enabling pleasant, high-quality human existence. IoT has significantly impacted a number of application sectors. Since smart devices rely on wireless technology for data transit and are developing at a rapid pace, they are more susceptible to hackers. As a result, cybercrime is becoming more commonplace every day. Technology growth gives rise to artificial intelligence (AI)-based cybersecurity, which jeopardizes people's privacy, personal property rights, and public safety. The present study is an attempt to study systematically how the banking security can be impacted through the proper usage of biometric devices integrated with cyber security in banking domain.
THE ART OF WORDPLAY: DECONSTRUCTION AND DIFFÉRANCE IN LEWIS CARROLL’S SYLVIE AND BRUNO
Authors: Rachel D Cynthia , Vennila S.
Published: January 2025

Lewis Carroll, who is best known for his Alice novels, is also the author of a lesser known but equally captivating novel named Sylvie and Bruno. This novel, set in both the real world and a fantastical fairyland, is filled with nonsensical phrases, puns and paradoxes which serves to challenge the reader’s understanding and perception of language. In Carroll’s imaginary world, language and words do not necessarily have fixed meanings and are fluid and open to interpretation. This aligns with the critical concept of deconstruction, pioneered by the French philosopher Jacques Derrida, stating that language and meaning are inherently unstable and texts can contain contradictory meanings. Further, the concept of différance, which is integral to Derrida’s idea of deconstruction, reflects on the fluid nature of text and meaning. In Sylvie and Bruno, Carroll’s clever manipulation of language and meaning can be examined through the lens of deconstruction and différance, thereby revealing the arbitrary nature of language. This research paper aims to analyze how Carroll’s manipulation of words, language and meaning reflects Derrida’s critical approach of deconstruction, particularly the fluidity and unpredictability of language and meaning.
THE EFFECT OF BIOCHARS AND NPK FERTILIZER ON GROWTH AND YIELD OF LETTUCE (Lactuca sativa L.)
Authors: Januariska Eri Januariska , Mulyati Mulyati , A B Baharuddin
Published: January 2025

This study aimed to determine the effect of biochar, NPK fertilizers and their interaction on the growth and yield of lettuce. This research was carried out in Moncok Village, Ampenan, Mataram City, with a height of 20 m above sea level. The study was conducted from April to June 2017. The study was conducted using a Randomized Block Design (RBD) with factorial patern of 2 factors. The first factor was the type of biochar which consists of B1 (rice husk biochar) and B2 (wood branch biochar). The second factor was the dose of NPK fertilizer consisting of P0 (without NPK fertilizer), P1 (NPK fertilizer 100 kg / ha), P2 (NPK fertilizer 200 kg / ha), and P3 (NPK fertilizer 100 kg / ha). So there were 8 treatment combinations and each treatment was repeated 3 times to obtain 24 experimental plots. The results showed that the interaction between biochar types with NPK fertilizer dose did not affect the plant height, the leaf number, and the weight of biomass per plant and per plot. The type of biochar did not affect the plant height and the number of leaves but affects the weight of the plants per plant, and per plot. The dosage of NPK fertilizer did not affect the plant height and the number of leaves, except at the age of 28 day after planting but had an effect on the weight of plant per plant, and the weight of plant per plot.
Increasing Tomato Yield in a Sandy Dryland Through the Application of UV Plastic Shade and Soil Amendment
Authors: Safta Laila , Jaya I Komang Damar , Suheri Herman , Sudirman Sudirman
Published: January 2025

Cultivating tomato plants in dry, sandy soils aims to achieve high yields while enhancing or maintaining soil fertility. This study investigates the effects of soil amendments and ultraviolet (UV) plastic shade on tomato yield and various indicators of soil fertility. The experiment was conducted in the dryland of Gumantar village, North Lombok Regency, Indonesia, during the dry season from May to August 2024. The soil amendment factor included three levels: no soil amendment, chicken manure, and seaweed biochar. Meanwhile, the shading factor consisted of two levels: no shading and shading with UV plastic (200-micron thickness, which transmits 86% of UV light). All treatments received inorganic NPK fertilizer (16-16-16) at a rate of 1,200 kg per hectare. Treatments were arranged factorially using a randomized block design with three replications. Results showed an interaction between soil amendments and shading that affected soil pH, the number of fruits, and fruit weight per plant and plot. The highest fruit weight per plant, recorded at 4.2 kg with 100.7 fruits, was achieved using seaweed biochar and shading. The treatments slightly improved soil fertility indicators, such as soil organic carbon (C-organic), total microbial count, and cation exchange capacity. Applying soil amendment and UV plastic shading can be a sustainable practice for tomato crops production in sandy dryland soils
Identification of Students’ Science Anxiety: Do Grade Level and Gender Affect It?
Authors: Nuwangi Pohaci Puspa , Riandi  , Widodo Ari , Isnendes Retty , Ayuningbudi Fadjrina Hapsari Woro
Published: January 2025

This study aims to identify the level of junior high school students' science anxiety, determine the effect of the three indicators of science anxiety on the level of science anxiety, and explore the differences between students' science anxiety based on class and gender. The study was conducted descriptively quantitatively through a survey of 205 junior high school students in Bandung Raya, using the Science Anxiety Questionnaire instrument which was developed multidimensionally by measuring students' learning anxiety, test anxiety, and class anxiety. Parametric statistical tests stated that the three indicators predicted students' science anxiety, students' test anxiety was higher than other anxieties, there was no significant difference in science anxiety between females and males, and there was a significant difference in science anxiety between students in grades VII, VIII, and IX.
Electronic Enrichment Book Design “Solar Energy and Its Benefits” to Improve Environmental Problem Solving Skills
Authors: Ulfa Jufiani , Desnita
Published: January 2025

This study is a development research using the Borg and Gall model. This study aims to determine the design of electronic enrichment books. The instrument used was a questionnaire and the data was analyzed descriptively based on the validity and practicality score sheets. The product was validated by experts and the practicality was validated by teachers and students. The results of the validity data showed an average value of all aspects of0.88 with very high criteria. The validity results show that the electronic enrichment book meets valid data so that it is worthy of use and a little revision and the practicality results show that the electronic enrichment book has an average value of all aspects of 0.81 with very high criteria from teacher practitioners and an average value of all aspects of 0.70 with high criteria from student practitioners. The conclusion obtained is that the design of this electronic enrichment book can be used from the valid results and can make it easier to use electronic enrichment books from the results of practitioners.
Profile of Learning Outcomes and Student Activity in Learning Natural Sciences at SMPN 2 Karangawen
Authors: Berlin Ivonne Susana , Nugroho Ary Susatyo , Patonah Siti , Hayat Muhammad Syaipul
Published: January 2025

This article as a literature review aims to understand the characteristics of learning achievement and the level of student participation in the Natural Sciences learning process. At SMPN 2 Karangawen. The fact that in the field many students experience difficulties when learning and are not active when there is material they don't understand, this is what prompted researchers to find out the learning outcomes and student activity in science learning at SMPN 2 Karangawen. This research uses descriptive qualitative methods and the subjects of this research involve 31 students in class IX of SMPN 2 Karangawen. Sample selection in this research was carried out using a simple random sampling method. Information collection was carried out using the activity questionnaire method and recording learning outcomes. In this research, descriptive statistical analysis techniques were used to analyze the data. The findings show: 1) Recording of science learning outcomes through the classroom observation method is quite 42%. 2) The profile of student activity in science learning can be categorized as less active because only 2 instruments are included in the good category, namely seen from the results of visual activities 53% and writing activities 71%. At the same time, there are 3 indicators that fall into the category, namely oral activities 63%, listening activities 65%, and activity metrics 57%.
Profile of Critical Thinking Skills of Phase F Learning in Chemistry Subjects Acid-Base Material
Authors: Anisah Dini Catur , Nasrudin Harun , Sukarmin
Published: January 2025

The purpose of this study was to describe the profile of critical thinking skills of Phase F students at Al-Azhar Menganti High School in the chemistry subject of acid-base material. This research is a quantitative and qualitative descriptive research. Data collection techniques are questionnaires, tests, and interviews. The research was conducted at Al-Azhar Menganti High School with chemistry teachers and 37 students in class XII. The results showed that the profile of students' critical thinking skills was low in the category of less and very less with only 36.93% of students who were able to interpret; 17.12% analysis; 21.17% inference; 33.33% evaluation; and 36.04% explanation with the factors that caused the low critical thinking skills of students were inappropriate learning models and lack of learning tools that could facilitate in improving critical thinking skills.
GESTAÇÃO: guia de orientações sobre os cuidados no pré-natal ao parto
Authors: Valadares Fernanda da Costa , Silva Gabriel Willian Ferreira da , Freitas Isabela Moura de , Santos Angella Nobre Mendes , Pereira Antonia Saliany da Silva
Published: January 2025

Esse guia foi elaborado por acadêmicos do curso de enfermagem da Universidade do Estado do Pará, campus IX Altamira, tendo como objetivo promover a saúde materno-infantil no ciclo gravídico-puerperal.

As informações contidas neste material são frutos de uma busca da literatura que tratam da temática em questão.

O conteúdo deste guia contém informações gerais sobre pré-natal, nutrição da gestante, preparo das mamas, orientações gerais, condições clínicas do período gestacional e os direitos da gestante.
PEDAGOGIA EM MOVIMENTO:
Authors: Nagel Jordana Caroline
Published: January 2025

Pedagogia em Movimento: Práticas para um Ensino Significativo apresenta uma visão inovadora e dinâmica sobre a prática pedagógica, enfatizando a importância de metodologias que conectem teoria e prática, promovendo um aprendizado significativo e transformador. O livro explora como a educação pode transcender a sala de aula tradicional, integrando aspectos físicos, emocionais, sociais e cognitivos para atender às demandas do século XXI.
A obra introduz o conceito de pedagogia em movimento como uma abordagem que valoriza a interação, a criatividade e a autonomia dos estudantes, promovendo práticas educativas interdisciplinares e metodologias ativas. Aborda estratégias como aprendizagem baseada em projetos, gamificação, uso de tecnologia e ensino por investigação, colocando os estudantes no centro do processo educativo.
O livro também destaca a importância da formação docente contínua, da educação inclusiva e da conexão entre escola e comunidade, criando um ambiente de aprendizado significativo e contextualizado. Temas como interdisciplinaridade, experimentação prática e o uso de tecnologias digitais são apresentados como ferramentas essenciais para engajar os estudantes e preparar cidadãos críticos e autônomos.
Por meio de fundamentos teóricos, exemplos práticos e reflexões, a obra busca inspirar educadores a adotar práticas pedagógicas inovadoras que conectem os saberes acadêmicos à realidade dos alunos, promovendo uma educação que transforma vidas e fomenta o desenvolvimento de uma sociedade mais conectada e participativa.
Social Housing For The Harmonious Integration of Indigenous Populations Into Congolese Society: The Case of the Republic of Congo
Authors: Symphorien NDONGO Alain , ETOU Destin Gemetone , TATHY Christian
Published: January 2025

Based on the premise that all people are equal before the law, the Republic of Congo Brazzaville has adopted laws and texts prohibiting all forms of discrimination against indigenous peoples. This is an important step towards their integration into Bantu society, instead of remaining victims of marginalisation, discrimination and inhuman and degrading treatment. Despite occupying large equatorial forests and vast territories of very low density, the indigenous population has not yet appropriated its land and natural resources. To this day, housing estates in the Congo's cities obey the principles inherited from the colonial period, including the distribution of populations according to social status and membership of a community or ethnic group; just as the existing housing stock includes dwellings and flats for westernised Bantu populations and foreigners. Having left the forest, indigenous communities now live in precarious and unhealthy villages and neighbourhoods on the outskirts of urban and rural communities. So there is an urgent need to rethink the habitat that will promote harmonious cohabitation between Bantus, indigenous peoples and foreigners. On the basis of demographic data, the study proposes a typical social housing model for indigenous households, with floor areas ranging from 75 m² to 220 m². The use of locally manufactured building materials and the participation of the beneficiaries in terms of labour will enable local people to master construction techniques on the one hand, and to optimise construction costs on the other.
Assessment of Mangrove Cover Change Based on Combining Remote Sensing Technique and Hydrodynamic Model Simulation
Authors: Nguyen Van Thinh  , Ngo Trung Dung  , Nguyen Trong Hiep  , Do Phong Luu  , Dang Truong An
Published: January 2025

Mangrove ecosystems along Vietnam's coastline face significant degradation due to human activities, despite their crucial role in coastal protection against natural hazards. This study aims to assess the spatial and temporal changes in mangrove coverage along Vietnam's southern coast by integrating remote sensing techniques with hydrodynamic model simulations. The research methodology combines the Collect Earth tool analysis of Spot-4 and Planet satellite imagery (2000-2020) with Mike 21-HD two-dimensional (2D) hydrodynamic modeling to evaluate mangrove coverage changes by simulating shoreline erosion. Results analysis reveals that a significant increase of 109.83 ha in mangrove area within Vinh Chau Town of Soc Trang Province during the period 2010-2020, predominantly in the eastern region. Hydrodynamic simulations demonstrate that the coastal zone is primarily influenced by the interaction of nearshore currents, East Sea tides, and seasonal monsoon wave patterns. The model results effectively capture the complex interactions between these hydrodynamic factors and mangrove distribution. These findings not only validate the effectiveness of combining remote sensing and hydrodynamic modeling for mangrove assessment but also provide crucial insights for sustainable coastal ecosystem management. The study's integrated approach offers a robust framework for monitoring mangrove dynamics and developing evidence-based conservation strategies, highlighting the importance of maintaining these vital ecosystems for coastal protection.
Revolutionizing medical insurance: The transformative impact of AI in the USA
Authors: Viswaprakash Yammanur
Published: January 2025

The birth of Artificial Intelligence (AI) has ushered in a new era of transformation in USA medical insurance as it is being used to solve inefficiencies and improve the outcome across the sector. In this paper we examine the role of AI in redefining the landscape of early disease detection, personalized risk management, allocation of resources, and fraud detection. Machine learning (ML) and deep learning (DL) based AI technologies enable predictive maintenance (PdM) and allow for proactive interventions rooted in identification of complex data patterns. This is highlighted by case studies including Aetna’s implementation of AI to detect lung cancer and Optum’s risk stratification models. However, issues of data privacy, algorithm bias, and legal restraints present challenges which necessitate the creation of adequate frameworks that promote ethical and responsible application of AI. Human centered AI design (including explainable AI and engagement), integration of social determinants of health, and equitable and transparent solutions are the future research directions. This study establishes AI’s capability to transform medical insurance into a data driven, forward thinking, patient centric organization.
Sustained public health protection also via haloacetic acids monitoring
Authors: Miroslav Horváth  , Martina Horváth
Published: January 2025

Haloacetic acids present in drinking water originate from chlorinated disinfection interacting with organic matter and bromide ions. We delve into the tangled web of these pollutants and monitor levels of five key elements: mono-, di-, trichloroacetic acid, and mono- and dibromoacetic acid. Our research reveals not only the numbers, but also their impact on human health, from skin reactions to oncological diseases. European Union legislation sets a maximum concentration of 60 μg/l, which governs our study in the vibrant Bratislava region, where almost three quarters of a million inhabitants live in four dynamic districts: Bratislava, Pezinok, Malacky and Senec.

This study provides data from a comprehensive analysis of 281 samples from 2019 to 2024. We examine more than just numbers. Our findings reveal not only overall disinfection methods, but also shed light on the unique presence of each haloacetic acid (as the analyte of interest) over time. Our results, visualized through tables and graphs, paint a vivid picture of water quality dynamics.
Foreign exchange reserves and its components in India: A comprehensive analysis
Authors: Appala Naidu Dhubireddi  , Rohit Yadav
Published: January 2025

The aim of this research paper is to analyse the impact of various components of foreign exchange reserves on foreign exchange reserves of 2023-24. Moreover, various statistical methods have been used to draw comparison and relationship between forex reserves and its components which are, correlation and regression analysis. This paper provides a robust understanding about the accumulation of forex reserves and composition of its various components ie., foreign currency assets, Gold, SDRs and Reserve Tranche Position in IMF. The major finding is that fall in the forex reserves in this financial year of 2023-24 due to valuation changes arising from appreciating U.S. dollar which was due to a major change in a component of forex reserves, foreign currency assets (FCA).
Agricultural Intelligence: AI-driven performance frameworks for modern farming
Authors: Sai Ram Chappidi
Published: January 2025

This comprehensive article explores the transformative impact of Artificial Intelligence (AI) in modern agriculture, examining its core components, industry applications, and future directions. The article investigates how AI-driven systems revolutionize farming operations through advanced data analytics, machine learning, and computer vision technologies. It details the implementation of precision agriculture technologies, intelligent crop health management systems, autonomous farming operations, and supply chain optimization. The article examines real-world applications through case studies of major agricultural technology companies, analyzing their innovations in autonomous machinery and smart spraying systems. The article evaluates the quantifiable benefits across operational improvements, environmental impact, and quality enhancement while exploring future developments in quantum computing integration, advanced autonomous systems, and climate change mitigation strategies.
Efficient net-based deep learning model for accurate plant disease classification and diagnosis
Authors: Adinan bin sidhique  , Ashwin gopakumar  , Bushara A. R
Published: January 2025

Diseases are a major drawback to crop production, productivity, and food security in nations affected by plant diseases. This work proposes an efficient framework for the automated recognition and diagnosis of diseases within plants using a convolutional neural network architecture known as EfficientNet. For this study, a large dataset containing sharp images of impaired and hale plant organs belonging to various species was collected. Common data preprocessing steps such as Resizing and Augmentation were used to reduce overfitting and increase the model’s ability to generalize. Finally, EfficientNet was trained for multi-class disease segmentation with the validation accuracy of 95%. The model showed high value of accuracy and recall and solved problems of the differentiation of visually similar diseases among the different categories. It is so from the following view: These results show the possibility of this approach as the practical tool for early disease detection and management in agriculture on large scale. Further studies are going to be conducted enlarging the data set, enhancing the transferability of the developed model, and examining how the app is best to be disseminated, for instance, via mobile applications or Internet of Things (IoT) devices for constant farming inspection.
AI-driven intelligent document processing for healthcare and insurance
Authors: Ramesh Pingili
Published: January 2025

Healthcare and insurance industries handle millions of documents daily, leading to administrative bottlenecks, errors, and inefficiencies. This paper explores AI-driven Intelligent Document Processing (IDP) for automating claims, medical records, and regulatory compliance documents. Integrating machine learning (ML), natural language processing (NLP), and RPA, IDP reduces document processing time by 80% and error rates by 90%. Case studies from top hospitals and insurers demonstrate AI’s role in streamlining workflows, enhancing patient care, and accelerating claims processing [1]. This research establishes IDP as a critical AI-driven transformation for document-heavy industries.
Forensic sketch-to-photo transformation with improved Generative Adversarial Network (GAN)
Authors: Bhargavi Jangam  , Ashwin Bharatha  , Tagore Lavishetty  , M D Rehan
Published: January 2025

Forensic sketch-to-photo transformation is a critical technique in criminal investigations in which forensic artists detail their drawings based on eyewitness descriptions. However, sketch-to-photo traditional methods are not an exception to the usual differences between sketch detail and photograph style. This system aims at improving the accuracy and realism of sketch-to photo transformation through an improved Generative Adversarial Network. The system aims to leverage advanced GAN architectures to bridge the gap between sketches and photos by learning intricate mappings and stylistic nuances. The GAN model comprises two neural networks: a generator and a discriminator. The generator synthesizes photo-realistic images from forensic sketches while the discriminator evaluates the authenticity of the generated images, iteratively refining the generator's output.
Comparison of diesel and petrol cars operational costs in the long term
Authors: Vishal Khare  , Vishwas Khare
Published: January 2025

The choice between diesel and petrol vehicles is often influenced by both initial purchase costs and long-term operational expenses, including fuel and maintenance. This paper presents a comprehensive cost analysis of various Indian car company variants, specifically examining the diesel and petrol models across different trims (NY2, NY3, X6, X8, X8 (O), BY5, and BY5L) over 1, 5, 10, and 15-year periods. Using a detailed financial model, this study accounts for initial vehicle cost, fuel consumption based on varying fuel prices, and routine maintenance costs. The research applies real-world data on fuel efficiency and prices, considering both minor and major servicing costs.
Combatting fraud in real-time payments: Strategies and technologies for securing instant payment systems
Authors: Chinnapa Reddy Yeruva
Published: January 2025

This comprehensive article explores the evolution and security challenges of real-time payment systems in the modern financial landscape. The article examines advanced fraud prevention strategies, including machine learning algorithms, artificial intelligence implementation, and real-time monitoring systems. It explores the transformation of Know Your Customer (KYC) processes through AI-powered identity verification and discusses the critical balance between security measures and user experience. The article further delves into emerging technologies such as quantum-resistant cryptography and edge computing, highlighting their role in shaping the future of payment security. The article demonstrates how financial institutions are adapting to new threats while maintaining transaction efficiency and regulatory compliance.
Leveraging AI for credit scoring and financial inclusion in emerging markets
Authors: Hariharan Pappil Kothandapani
Published: January 2025

It even promises artificial intelligence (AI), a credit revolution in credit scoring, and a boost of credit access for developing economies. When implemented in finance, AI ensures accurate credit scoring to create a win-win situation for credit concession to those who may have been locked out of the rates for one reason or another. Analyzing the opportunities and challenges, this paper identifies and focuses on how AI can improve credit assessment methods in the chosen regions. AI-integrated systems can use complex, unconventional data feeds to create credit scores for people without credit profiles. This innovation fills the lacuna created by the usual credit evaluation mechanisms, coping with failing to open access to economic activity. However, integrating AI comes with some emerging factors, including algorithmic bias, the Data Privacy Act, and digital ignorance of some financial institutions. The paper shows that high importance should be paid to the ethical framework regulating AI to guarantee transparency, fairness, and inclusion. This also brings more focus to ensuring content containing details such as these are protected, and consumers’ trust needs to be established; hence, such technologies should be encouraged to impact the maximum number of people possible.
Possible challenges are also highlighted, including inadequate interoperability between financial organizations, lack of leadership by government and financial institutions in integrating AI in financial services, and lack of a comprehensive social agenda from developers of technologies and other community stakeholders. By solving such challenges and fairly bounding innovation in AI, the technology can improve the quality of financial services, help empower excluded people, and contribute to socioeconomic development in growth-belt nations. This discovery is a wake-up call to policymakers and other stakeholders worldwide to ensure that AI becomes integrated to lead to sustainable and equitable banking for all around the globe.
Urban green spaces in kara city (Togo): Typology and community expectations
Authors: Anissou Bawa  , Koffi Kibalou Palanga  , Abalo Atato  , Donald Toyou  , Yawo Kansiwoe  , Botolisa Polorigni  , Batawila Komlan
Published: January 2025

Urban green spaces (UGS) are essential to ensure the quality of life and fulfillment of city dwellers. There is a growing interest in research investigating the association between green space and climate resilience in urban area. This study aims to inventory both formal and informal green spaces in Kara, the second-largest city in Togo, and to analyze the characteristics expected by the local population. The photo-interpretation method was used to find UGSs, using very high-resolution satellite images under Google Earth Pro software. For each UGS found, the surface areas were determined using GPS forms. The proportion of UGSs per habitant was established in comparison with the standard defined by the Word Health Organization (WHO). In additional, a survey from 373 informants was carried out the challenges of UGSs sustainability, including local community needs. The results show that Kara city has 39 green spaces, ranging in size from 0.1 hectares to 5.59 hectares. These are mainly building greens spaces (51.3%), natural and semi-natural areas (28.2%), trees lining the roads (17.9%), and parks and recreation (2.6%). Per capita green space calculated was 0.2 square meters, very low compared with the threshold of 10 square meters per inhabitant recommended by the WHO. Despite their small size, the green spaces in this town are still very important. Local community expected eight (08) challenges of UGS project, including accessibility, cleanliness and the availability of development infrastructures (safety, lighting, drinking fountains, walking routes, shaded areas and children’s playgrounds). It is therefore important for municipal authorities to give much more attention to green spaces in future urban development plans.
The relationship between birth weight and exclusive breastfeeding on the height of toddlers aged 1-5 years in Mekanderejo village, Kedungpring district, Lamongan regency
Authors: Fathima Risma Nurlail  , Widati Fatmaningrum  , Woro Setia Ningtyas
Published: January 2025

Background: The occurrence of stunting or height that is not appropriate for age in children under five is a health issue that needs attention in Indonesia. Stunting can cause growth failure, delays in cognitive and motor development, metabolic disorders, and reduced intellectual capacity. This study aims to analyze the relationship between birth weight and exclusive breastfeeding with the height of children aged 1-5 years in Mekanderejo Village.

Methods: This type of research is an observational analytic study with a cross-sectional design. Data collection was conducted using primary data through questionnaires containing the characteristics of mothers and children and secondary data from the respondents' MCH books. Data analysis used the Chi-Square test.

Results: The results of the study showed that there were still 8 (10.96%) children born with low birth weight, 28 (38.36%) children with a history of not being exclusively breastfed, and 6 (8.22%) children with very short height. The bivariate Chi-Square test results showed a p-value of 0.035 (<0.05), indicating a significant relationship between birth weight and child height, and a p-value of 0.047 (<0.05), indicating a significant relationship between exclusive breastfeeding and child height.

Conclusion: These data indicate a relationship between birth weight and exclusive breastfeeding with the height of children aged 1-5 years in Mekanderejo Village.
Dwarf shrub expansion and loss of lichens distinctly dominate multi-decadal changes in northern boreal understory plant communities
Authors: Maliniemi Tuija , Lohi Joonatan , Alahuhta Janne , Huusko Karoliina , Virtanen Risto
Published: January 2025

Northern boreal forests and treelines are particularly sensitive to the current climate change that has already resulted in increased productivity, shrub expansion and up- and northward shifts of species. However, these changes are expected to be gradual or lagged due to slow process rates, and can be buffered to some extent by large herbivores. Multi-decadal observations of understory change in northern boreal forests remain scarce, particularly those involving bryophytes and lichens despite their importance for biodiversity and ecosystem functions. Here, we analyse temporal changes in understory plant communities of northern boreal forests in Saariselkä, Finland (68.46° N, 27.37° E) that were originally sampled in 1981. We resurveyed plant communities (vascular plants, bryophytes and lichens) at 22 sites (including 88 vegetation plots) in 2014 and at 80 sites (320 plots) in 2022 in different forest site types. Reindeer grazing was moderate throughout the study period (1.5–2.0 reindeer/km²), while mean annual temperature rose over 1°C. We found clear temporal shifts in plant communities towards increasing dwarf shrub dominance and decreasing lichen cover and diversity, which were consistent across the study area and within different site types. However, the increase in dwarf shrubs was species-specific: the cover of bilberry (Vaccinium myrtillus), crowberry (Empetrum nigrum) and lingonberry (Vaccinium vitis-idaea) had increased over time, while the originally most dominant species, heather (Calluna vulgaris), had decreased and become subordinate to all the above. The observed changes reflect a shift into moister conditions and are likely linked to both succession and climate change. Long-term reindeer grazing is most likely the key driver reducing lichen cover, which may be further affected by the dwarf shrub expansion. The consistency of the observed changes in different site types is indicative of corresponding changes occurring elsewhere in northern boreal forests with comparable environmental conditions and grazing pressure. Importantly, our results raise concerns about the local disappearance of lichens if the declining trend continues.
Pre-design of bottom ash cooling using CFD simulation: a case study of the coal generator power plant in the PT. BEST Tanjung Enim of South Sumatera
Authors: Homzah Ozkar F. , Sundari Ella , Dzaky Muhammad Irfan , . Firdaus , Arifin Fatahul , Prayoga Damar Adji , Andi Setiyadi Kabul , Kabul Kabul
Published: January 2025

The manual removal of bottom ash from the boiler is a hazardous activity due to the extremely high temperatures involved, ranging from 700 to 800°C. The objective of this research is to develop a cooling device to facilitate the bottom ash removal process for workers at PT. BEST Tanjung Enim and to measure the reduction in ash temperature achieved by cooling device. The design was created using computer aided design software and Computational Fluid Dynamics (CFD) simulations. Subsequently, a hypothesis is proposed, defining the bottom ash material as Silicon Dioxide (SiO₂) and equalizing the density of the bottom ash. To ascertain the temperature drop, variations in the screw conveyor’s rotation speed were tested at 40, 33, and 12 rpm, paired with cooling water velocities of 0.5, 0.75, and 1 m/s respectively. The findings of study indicated that a screw conveyor speed of 12 rpm combined with a cooling water velocity of 0.5 m/s yielded the lowest bottom ash temperature, reaching 402°C, thus significantly reducing the need for manual handling when the ash temperature remains at 800°C. Further study should explore the application of Discrete Element Method (DEM) simulations for modelling bulk material behaviour and the integration of additional cooling media to enhance system performance.
Buck boost converter control to accelerate cooling in hydrogen system coolers
Authors: Adi Wasis Waskito , Akhiriyanto Novan , Alson Adi , Gunawan Yohanes , Sahrin Alfin , Utami Erna
Published: January 2025

The electrolysis process involves decomposing water (H₂O) into hydrogen gas (H₂) and oxygen gas (O₂), requiring substantial electrical power. This study utilized an electrolyzer with a maximum capacity of 7V and 40A, demanding 280 watts of power. Therefore, it requires a voltage of less than 7V but a high current of up to 40A, as the critical parameter for the electrolyzer in producing hydrogen is the electric current flowing through it. A buck-boost converter was implemented to adjust the voltage to operate a Thermoelectric Cooler (TEC) for temperature regulation. Over time, as the electrolyzer operates and consumes a high current, there is an increase in its temperature. The system successfully maintained the electrolyzer temperature below 35°C by adjusting the output voltage between 10-14V, with an input range of 21.62-21.65V. The cooling system achieved a temperature reduction of 1.06°C, demonstrating its effectiveness in stabilizing the electrolyzer’s performance, thus optimizing hydrogen production efficiency.
Real-Time Identification of Yarn Irregularities on DTY Machine Through Vibration Monitoring
Authors: Sutanto Agus , Kurnia Deni , Fakhrurroja Hanif , Roni Wibowo Nanang
Published: January 2025

This paper presents an innovative real-time monitoring system for detecting yarn irregularities during the draw texturing process in DTY machine. The system uses advanced sensors to continuously measure vibration signals, which are then analyzed for anomalies. The system incorporates advanced sensors, controllers, and embedded software for monitoring the vibrations produced during the draw texturing process. Fast Fourier Transform (FFT) in LabVIEW converts these vibration signals into their frequency-domain representation. This helps identify anomalies that could indicate potential yarn irregularities. The results from the sensor data clearly indicate that amplitude values serve as a reliable measure for detecting yarn irregularities. For normal spindles, the amplitude ranges from 10.9 to 12.2 m/s², while abnormal spindles show significantly higher values, between 31.9 and 44.3 m/s². This distinction facilitates real-time classification of yarn quality. The system's ability to identify these amplitude variations promptly can significantly reduce waste and enhance quality control. Future developments will focus on integrating an intelligent early warning system that alerts operators immediately upon detecting irregularities, enabling quicker interventions and minimizing downtime.
Ibn Sa‘d’s Kitab Al-Tabaqat Al-Kabir and the Narratives of the Signs of Muhammad’s Prophethood: A Historiographical Study
Authors: Fuad Ahmad Nur
Published: January 2025

This article conducts an in-depth analysis of the signs of Muhammad's prophethood as presented in Ibn Sa‘d’s Kitab al-Tabaqat, using a historiographical approach to explore these narratives’ significance in early Islamic history. It seeks to identify and categorize the range of signs and miracles attributed to the Prophet Muhammad, investigate Ibn Sa‘d’s interpretive techniques and historical methods, and examine how these signs help construct prophetic authority and Islamic cultural memory. By analyzing each narrative in both its historical context and its theological and literary dimensions, the study addresses key issues such as Ibn Sa‘d’s perspective as a historian, his interpretive biases, and the ways these narratives reinforce Islamic belief in Muhammad’s divine mission. The findings reveal that Ibn Sa‘d’s portrayal of prophetic signs operates on several levels: as a testament to divine intervention, an assertion of the Prophet's unique spiritual status, and a framework for defining the sacred in Islamic tradition. This article argues that Ibn Sa‘d’s narratives provide critical insights into Islamic historical methodology and the formation of religious identity, enhancing our understanding of the intersections of history, theology, and memory in shaping early Islamic religio-cultural consciousness.