bluuebunny/crossref_metadata_2025 huggingface dataset:
Creating High Resolution Images using Incremental DCGAN
Authors: - B. Sateesh , - Dr M. Swamy Das
Published: December 2024

Deep Learning in the field of Medical Sciences is one of the most demanding areas nowadays. There are many types of medical images like x-rays, CT scans, MRI scans, ultra sound images etc. X-rays are very low cost, easy to produce and fast to diagnosis the abnormality [2]. Till today Radiologists are manually interpreting the X-rays. Many researchers contributed their work to increase the accuracy of classification of medical images like X-rays. But still there is high scope to improve accuracy of medical image classification. One of the biggest challenge is to get datasets to perform experiments. Because of law of privacy of patients, it's not an easy thing to get inputs from medical laboratories. Though there are datasets in public domains. Still there is scope to investigate new data augmentation techniques to produce high quality synthetic data. In this work Incremental Deep Convolution Generative Adversarial Network (IDCGAN) is implemented. It is based on Deep Convolution GAN [2]. The model learns to produce high quality images in an incremental manner. It starts to learn from 64 x 64 resolution. Later it is trained to produce high resolution images. The experimental results showed high resolution Chest X-ray images with resolution 2048 x 2048.
Kubernetes IP Hash Set For Enhanced CPU Utilization
Authors: - Kishore Kumar Jinka , - B.PurnachandraRao
Published: December 2024

Using IPTables for networking functions like load balancing and traffic routing, Kubernetes automates containerized application management. Big-scale IPs are effectively managed by IP hash sets, however single sets experience performance problems in big clusters. According to this paper, employing several hash sets can improve lookups, lower CPU utilization, and increase network efficiency.
Behavioural Safety Practices In Accident Prevention And Reduction In Large-Scale Construction Projects
Authors: - Adekoya Saheed Bolaji , - Taoheed Olanrewaju Fasasi , - Nurudeen Adeshina , - Ibukun Oluwatobi Busari , - Kayode Peter Ogbelade
Published: December 2024

It is widely known that the construction sector has high rates of fatalities and injuries at work. In recent years, the focus has shifted from purely technical safety measures to the incorporation of behavioral safety practices as a means to enhance safety outcomes. The purpose of this study is to investigate the effect of behavioral safety practices in preventing and reducing accidents in major construction projects in Qatar. An online questionnaire-based research methodology was used in the study to collect data from 104 participants who were conveniently sampled. The results of the study show that behavioral safety techniques, when applied correctly, significantly reduce the number of accidents that occur in major building projects. Active leadership involvement and the development of a supportive safety culture that motivates employees to take personal accountability for their safety as well as the safety of their coworkers are important components. The study also reveals that more thorough and successful safety strategies are produced when behavioral safety practices are integrated with currently in-place safety management systems. In conclusion, the study highlights the crucial role of behavioral safety practices in improving safety performance in major construction projects. The adoption of these practices in combination with conventional safety precautions, improves accident prevention and reduction.
Cloud Technologies used in Library
Authors: - Miss. Prangya prachi samantaray , - Dr.Arati Pradhan
Published: December 2024

Within the current time of data and progressed innovation, a completely prepared library serves as the center of higher instruction and plays a pivotal part in contributing convenient data for the improvement of the national economy. The effect of mechanical progressions amplifies past modifying the organize and beginnings of data to too impacting the reference administrations advertised by libraries. Libraries are transitioning to a computerized scene, checking a novel approach to data dispersal. It is exact to state that the imminent direction of libraries is intrinsically computerized. In later times, cloud computing has unmistakably illustrated itself as a persevering mechanical progression balanced to encourage increment in appropriation. This try looks for to dig into the viewpoints of scholastic libraries with respect to cloud computing and its integration with library administrations. Libraries have experienced computerization and organizing, advancing toward paperless or virtual setups. This innovation can be utilized to extend the capacity of libraries, enveloping capacities such as substance creation, capacity, e-learning, chronicles, and more. Data capacity constitutes the basic obligation of any library. To get it challenges within the librarian profession and accomplish productivity in data administration, curators are utilizing different stages within the field of Library Science. This paper gives an outline of the rising range called cloud computing, talking about its principal concepts and the utilization of cloud innovations in libraries and a clarification of its usefulness are sketched out in this communication.
IoT Smart Irrigation System Based on Dual Axis Solar panels
Authors: - Adaikkammai A , - Agalya S , - Baby Srinithi S , - Keerthana Devi S
Published: December 2024

Water scarcity is one of the most pressing challenges in modern agriculture, directly impacting food security and sustainability. This project proposes a smart irrigation system that leverages advanced technologies such as IoT sensors, real-time data analysis, and automated control to optimize water usage. By integrating environmental data, such as soil moisture, humidity, and weather forecasts, the system delivers precise irrigation, minimizing water wastage while maximizing crop yield. This project introduces an advanced irrigation system designed to optimize water usage for agricultural applications, leveraging real-time sensor data and automation technologies. By integrating IoT devices, the system monitors soil moisture, weather conditions, and crop water requirements, dynamically adjusting water distribution to ensure precise irrigation. The project aims to minimize water wastage, enhance crop yield, and promote sustainable farming practices. Through data-driven insights, farmers can achieve better control over their resources, significantly reducing water consumption and operational costs while fostering environmental stewardship.
Elements of Colonialism, identity, culture, politics in the novels of Chinua Achebe
Authors: - Guddy Yumnam , - Mayengbam Bidyarani , - Sujeta Beishamayum
Published: December 2024

This paper is an attempt to show the efforts Chinua Achebe had done in restoring the old African identity. After Colonialism, Africa lost their identity, myth, culture, folklore due to the lack writing language, tradable sea routes and pittance for human labor. The main objectives of this study are focus on Achebe's work on how he raises a strong voice for African literature and how he utilized coloniser language and education to regain his people's racial, equality, superior culture, social structure and traditional values brought down cunningly by European. The study presents various descriptive style of writing focusing on how Achebe's Portrayed a clear imaginary picture of exploitation in the minds of readers. He has done a great work in shedding off inferiority complex from the minds of Africans. Thus, Achebe's and his works are great contributions in liberating African people from imperialism.
Poole-frenkel Photoconductivity in Synthesized Cdse : Mn+2 Ions Thin Films
Authors: - K. Kunjabali Singh , - H. Jamuna Devi , - Ksh. Nandini Devi
Published: December 2024

Abstract: CdSe semiconductors were synthesized with Mn+2 odd dopants from 1-9at.% onto ultrafine ITO glass substrates. Successive Ionic layer Adsorption and reaction (SILAR) technique was used in the synthesis. With proper fabrication of metal electrode contacts and 5mm inter electrode spacing across the films, photoconductivity was measured with a high input impedence (1014 Ω) electrometer amplifier under -108V-0-(+108)V in both polarity of applied bias and was found to obey two distinct conduction mechanisms – ohmic in low field and Poole - Frenkel type at high fields within the regions of the applied fields.
Artificial Intelligence in Supply Chain Management: Source Assessment Framework
Authors: - Muneer Basha Shaik
Published: December 2024

The integration of Generative AI into supply chain management holds the promise of transforming traditional practices into dynamic, responsive systems capable of adapting to the complexities and challenges of the modern business environment. By leveraging AI's capabilities, organizations can achieve greater efficiency, resilience, and innovation in their supply chain operations.
A Checklist of Mammalian Fauna at Mukandra Hills Tiger Reserve, Kota, Rajasthan, India
Authors: - Rukhsar Bano , - Fatima Sultana
Published: December 2024

The survey was conducted at Mukandra Hills Tiger Reserve from January to June 2024. The reserve is located in Kota, south-east Rajasthan in India. This study was completely based on the field observation. Field survey was carried out at all 6 ranges of Mukandra Hills Tiger Reserve to evaluate the status of mammalian species in the reserve. The surveys followed reconnaissance survey method, sign survey and direct observation method. The reserve is a safe habitat for various wild animals like sloth bear, leopard, striped hyena, and tiger. This study represents rich and comprehensive mammalian diversity in the reserve. Direct sightings and indirect evidences such as pugmarks, scats or pellets were recorded to document the presence of mammals in this reserve. A total of 28 mammalian species belonging to 19 families and 8 orders were recorded during the field survey. Of these, 8 species were omnivorous, 8 species were carnivorous, 8 species were herbivorous, 3 species were insectivorous and 1 species was frugivorous in their feeding habit. Some species were not recorded during the survey due to their presence in low numbers. Direct sighting of striped hyena, chital, nilgai, sambar and jackal were recorded during field visit. Reptiles and birds are also found in good numbers in the reserve.
Understanding Cloud Computing: How Data Storage Works in the Cloud
Authors: - Anil Kumar Reddy Avula
Published: December 2024

Cloud computing has revolutionized the digital landscape, fundamentally transforming how organizations and individuals store, access, and manage data. This comprehensive article examines the evolution of cloud computing from its early days as a basic storage solution to its current status as a critical enabler of digital transformation. The article covers the core architecture of cloud storage systems, exploring how distributed networks of data centers ensure reliability and fault tolerance. Through a detailed examination of real-world applications and impacts, this paper demonstrates how cloud computing has democratized access to advanced computing resources, enabling both enterprises and individuals to leverage sophisticated technological capabilities while optimizing costs and improving operational efficiency. The article particularly highlights the synergy between cloud computing and emerging technologies like generative AI, showing how this combination is reshaping the future of digital infrastructure and business operations.
Integrating AI into CVE Identification for Enhancing the SDLC and TLM
Authors: - Abhiram reddy bommareddy
Published: December 2024

The integration of Artificial Intelligence (AI) into Common Vulnerabilities and Exposures (CVE)
identification represents a significant advancement in cybersecurity practices, particularly within the
Software Development Life Cycle (SDLC) and Threat Lifecycle Management (TLM) frameworks. This
article explores the transformative potential of AI technologies, including machine learning, natural
language processing, and automated code analysis, in revolutionizing vulnerability management
processes. Through a comprehensive analysis of implementation frameworks, quantitative benefits, and
organizational challenges, this article demonstrates how AI-enhanced CVE identification can significantly
improve detection rates, reduce response times, and optimize resource allocation in security operations.
This article examines both technical and organizational considerations, from model accuracy and
integration complexity to adoption barriers and training requirements. This article also addresses
emerging challenges and future directions, providing valuable insights for organizations seeking to
strengthen their security posture through AI-enabled vulnerability management. This article contributes to
the growing body of knowledge on AI applications in cybersecurity and offers practical guidelines for
implementing AI-driven CVE identification systems within existing SDLC and TLM frameworks.
Confronting the Shadows of Silence: Exploring the Multifaceted Consequences of Female Foeticide in Rural India
Authors: - Sonali Dewangan , - Chitranjali sharwan , - Silki Pradhan , - Arshin Solomon , - Arnab Roy
Published: December 2024

In the deeply entrenched patriarchal landscape of rural India, female foeticide represents a critical social crisis that fundamentally challenges women's most basic human right - the right to existence. This pervasive issue emerges from a complex interplay of deeply rooted cultural norms, economic considerations, and systemic societal pressures that systematically devalue female life. While legislative frameworks like the Pre-Conception and Pre-Natal Diagnostic Techniques (PCPNDT) Act have been established to counteract gender-biased sex selection, the practice continues to persist with alarming prevalence. The phenomenon of female foeticide extends far beyond an individual act, generating profound demographic, socio-economic, and psychological consequences that ripple through entire communities. Economic factors, such as dowry expenses and perceived lower economic productivity of women, intersect with traditional patriarchal beliefs that prioritize male children, creating a toxic environment that perpetuates this discriminatory practice. The resulting gender imbalance threatens not only individual women but also the broader social fabric, potentially leading to long-term societal disruptions. Addressing this complex issue requires a multifaceted approach that transcends mere legal interventions. Comprehensive strategies must focus on transforming deeply ingrained cultural attitudes, enhancing women's socio-economic empowerment, promoting gender education, and creating supportive community mechanisms that challenge existing discriminatory narratives. By fostering a more inclusive and equitable societal framework, rural India can begin to dismantle the systemic barriers that enable female foeticide and work towards genuinely recognizing and valuing female life as inherently equal and essential.
Learners' Desk
Authors: - Shraddha Kashid , - Rajlaxmi Patil , - Tanushree Buradkar
Published: December 2024

Our Learning Management System (LMS) offers a dynamic platform for educators and learners alike. It provides a user-friendly interface with features such as content management, assessments, communication tools, and analytics. Instructors can efficiently deliver content and track student progress, while learners benefit from collaborative and self-paced learning. The system's adaptability makes it suitable for various teaching environments, from traditional classrooms to online and hybrid settings.
Implementing Ethical Data Practices in E-commerce Personalization: A Technical Framework
Authors: - Ritu Godbole
Published: December 2024

This technology article addresses the crucial balance between responsible data management and
individualized consumer experiences by investigating the application of ethical data practices in
e-commerce personalization. A thorough architecture that addresses data collecting, consent management,
security implementation, customization algorithms, and compliance testing is presented in the article. It
looks at how contemporary e-commerce platforms can preserve excellent personalized services while
efficiently implementing privacy-conscious mechanisms. The framework offers useful recommendations
for businesses looking to create trust-centric digital commerce systems that satisfy changing privacy laws
and customer expectations by addressing major issues in data minimization, transparency, retention, and
automated compliance testing.
Efficient cDNA Preparation and Amplification of Laccase 2 gene from various tissues of Tasar Silkworm for Genetic Studies
Authors: - Kiran Kumari , - Emma Rani Seraphim
Published: December 2024

Tasar silkworms, scientifically known as Antheraea mylitta, a species of wild silkworms native to India. The tasar silkworm undergoes a complete metamorphosis, including the egg, larva (caterpillar), pupa (cocoon), and adult (moth) stages. This complex life cycle, coupled with their outdoor rearing environment, makes their cultivation distinct and labour-intensive compared to other silkworm species. To improve the quality of silk being produced, it is of utmost importance that genetic analysis with preference to gene expression is well understood. Transcriptome analysis is one of the most crucial studies performed to understand the level of gene expression in a living organism. With respect to Antheraea mylitta, currently there are very limited genetic data describing the gene expressions. Transcriptome analysis at different stages of larvae development can give useful insight. The data can also be used to study the response of the insect's immune system in case of pathogen attack. The study focused on optimization of cDNA synthesis from RNA isolated from Antheraea mylitta. Our study used Laccase2 gene for PCR amplification to check the quality of isolated RNA. The study concluded that good quality RNA can be successfully isolated from Antheraea mylitta. Successful amplification of Laccase2 gene reveals that Laccase2 gene is being expressed at different levels of different larval stages as it helps in cuticle tanning and sclerotization. This research focuses on synthesizing cDNA for the Laccase 2 gene from Antheraea mylitta and confirming its identity using PCR amplification and sequence analysis, contributing to a deeper understanding of its biological function.
ಶರಣರಲ್ಲಿ ಕಾಯಕ ನಿಷ್ಠೆ
Authors: - ಕೃಷ್ಣಮೂರ್ತಿ.ಜಿ
Published: December 2024

ಹನೇರಡನೇ ಶತಮಾನದ ಶಿವಶರಣರ ವಚನಗಳಲ್ಲಿನ ಕಾಯಕತತ್ವ ಪ್ರಸ್ತುತ ಸಮಾಜಕ್ಕೆ ಮಾದರಿಯಾಗಿದೆ. ದಾಪಂತ್ಯದಲ್ಲಿಯೂ ಶರಣ ತತ್ವವನ್ನು ಅರ್ಥೈಸುವ ರೀತಿ ಮತ್ತು ಆಚರಣೆ ನಮ್ಮೆಲ್ಲರ ಬದುಕಿಗೆ ಅನ್ವಯಂಶಗಳನ್ನು ಒಳಗೊಂಡಿದೆ.
Entrepreneurial Spirit and Intent of Bachelor in Secondary Education-TLE majors of Quirino State University
Authors: - Gina Mae Pugong
Published: December 2024

Pugong, Gina Mae U. (2024). Entrepreneurial Spirit and Intent of BSEd-TLE majors. Quirino State University. Bachelor in Secondary Education Major in Technology and Livelihood Education.
This study presents the vital role of education, role models and socialization as the variables in the development of the entrepreneurial spirit and intent of BSEd-TLE majors. The study aims to determine the entrepreneurial spirit, entrepreneurial intent, perceived images of entrepreneurs and awareness on entrepreneurship of BSEd-TLE majors. The study followed the descriptive type of research as it describes the Entrepreneurial Spirit and Intent of BSEd-TLE Majors. The study focused on the determinant of factors that affect their spirit and intent, together with the perceived impact of education, as well as their trainings, in the development of their business culture, other variables describe in the study are the profile of students in terms of their age, gender, ethnic affiliation, and major. The result of the study was analyzed using statistical tools to establish significance on the Entrepreneurial Spirit and Intent of BSEd-TLE Major. Results showed that there was a great entrepreneurial spirit and intent among the respondents as majority of them intends to create their own business. In addition, very good images of entrepreneurs were perceived by the respondents which were good indicators of positive spirit,
drive and motivation. Education was seen as an important factor in developing the entrepreneurial spirit and intent in their schema. This study concludes that the respondents are likely to be entrepreneurs in the future.
Case Review - Therapeutic approach to post parturient hemoglobinuria in cattle
Authors: - Krushnakant S Wagh
Published: December 2024

Post parturient hemoglobinuria (PPH) is considered as metabolic disorder which primarily occurs due to deficiency of phosphorus nutrient inside the body of animal. This deficiency can have multiple causes such as poor dietry uptake, excessive discharge from milk (in case animal is lactating) and no replenishment from diet etc. The pathophysiology of PPH is closely associated with excessive haemolysis of erythrocyte due to increase fragility of erythrocytic wall that is in turn due to phosphorus deficiency. Here in this presented case, the lactating buffalo who parturiated 20 days ago, had complaint of haematuria, inappetence and reduction in milk production. Though the signs and other accessory symptoms were self-explanatory, the modalities like estimation of cbc and serum calcium and serum phosphorus were carried out to support tentative diagnosis and help arrive at conclusion w.r.t. diagnosis. Also keeping in mind other differentials, the blood smear examination was carried out, which yielded negative result (negative for any blood protozoa like babesia). The line of treatment included Buffered phosphorus and inosine injection, antioxidant injection, oral phosphorus powder, and supportively B-complex injection and intravenous fluid administration carried out. The medical management proved to be very efficient both in terms of improvement in blood parameters as well as colour of urine (which return to normal 5 days after treatment). Active, alert and appetite presenting animal thus recovered fully from metabolic disorder of PPH.
Impact of Service Quality, Technology, and CRM Practices on Customer Loyalty and Profitability in Retail Banking
Authors: - Dr.Subhash Sopan Wavhal
Published: December 2024

The research paper explores the dynamics of retail banking, focusing on factors that influence customer satisfaction, loyalty, and profitability in a rapidly evolving market. This study investigates the relationship between banking services, customer engagement, and financial performance through statistical analysis, particularly applying regression analysis to understand key trends. The results reveal the significant influence of service quality, customer relationship management, and technological advancements on the growth of retail banking. The paper concludes with recommendations for enhancing customer experiences and banking profitability through improved service offerings and operational strategies.
Modified 3D-Convolutional Neural Network applied in Dynamic Filipino Sign Language Recognition
Authors: - Erika T. Bisoy , - Chriszel Abby F. Oduca
Published: December 2024

Advancing communication for the deaf and mute community requires effective sign language recognition systems. This study improves dynamic gesture recognition for Filipino Sign Language (FSL) using a 3D Convolutional Neural Network (3D CNN). Key challenges such as vanishing and exploding gradients, which hinder the model's learning capabilities, were addressed through batch normalization and gradient clipping. Batch normalization stabilized training by reducing gradient variance from 366.8836 to 4.9723. Gradient clipping minimized instability, leading to increased model accuracy. These techniques significantly enhanced model robustness and generalization. This research highlights their importance in developing accessible FSL recognition systems that promote inclusivity and preserve language.
Enhancing Logistic Regression for Predicting Habitat Suitability of Scottish Crossbills (Loxia Scotica)
Authors: - Mike Jayson F. Llovit , - Mark Joshua L. Morales , - Jonathan C. Morano , - Khatalyn E. Mata
Published: December 2024

The prediction of habitat suitability for migratory avian species in response to climate change is a critical challenge in ecological conservation. This study focuses on the Scottish Crossbill (Loxia scotica), employing an enhanced Logistic Regression algorithm to address the limitations of traditional approaches. A significant issue with the existing algorithm was the use of default hyperparameters, including L2 regularization, a Limited-memory Broyden–Fletcher–Goldfarb–Shanno (BFGS) solver, and limited iterations. These settings constrained the algorithm’s generalizability and ability to adapt to the complexity of habitat prediction data. To overcome these challenges, the researchers utilized the PyCaret package, which facilitates comprehensive hyperparameter tuning by systematically exploring combinations of key parameters such as regularization strength and solver types, alongside cross-validation for robust performance evaluation. The integration of PyCaret significantly improved the algorithm’s performance. Compared to the existing Logistic Regression algorithm, the enhanced algorithm exhibited an 11.4% increase in accuracy, a 4.74% rise in the Area Under the Curve (AUC), and a 9% improvement in the F1-score during Test Set Evaluation. Specifically, the enhanced algorithm achieved an accuracy of 88%, an AUC of 88.99%, and an F1-score of 88%. These results highlighted the enhanced algorithm’s predictive capabilities and its robustness in identifying suitable habitats. The enhanced algorithm’s ability to predict habitat suitability more effectively underpins its potential for aiding conservation planning. By implementing systematic hyperparameter tuning, the enhanced algorithm not only achieves higher prediction accuracy but also minimizes bias and variance, paving the way for more reliable predictions of habitat suitability under changing climate conditions.
One Nation, One Election: A Critical Analysis
Authors: - Md. Imran Wahab, IPS
Published: December 2024

The concept of "One Nation, One Election" seeks to synchronize the electoral processes for the Lok Sabha and the State Legislative Assemblies in India. Advocates of this proposal argue that unifying elections could significantly reduce the overall costs associated with campaigning and administrative efforts, making the electoral process more efficient. They believe that simultaneous elections could also alleviate the issue of policy stagnation, ensuring more stable and continuous governance by allowing elected representatives to focus on long-term policies rather than being preoccupied with frequent elections. Conversely, critics warn that this approach might pose threats to the fundamental principles of federalism by diluting the distinction between state and national issues. They highlight concerns regarding the complexities involved in managing electoral logistics and potential negative impacts on democratic representation, as regional issues might be overshadowed by national narratives. This article delves deeply into the feasibility, advantages, and obstacles associated with the implementation of synchronized elections in India, while reflecting on its broader social, political, and constitutional implications.
Enhancing Check Deposit Systems Using Generative AI: A Paradigm Shift in Banking Technology
Authors: - Kumar Shanmugasamy
Published: December 2024

This paper explores the integration of generative artificial intelligence (AI) in enhancing check deposit systems within the banking sector. Banks can improve accuracy, reduce fraud, and streamline customer experiences by leveraging generative AI techniques. This paper comprehensively analyzes current check deposit processes, identifies key challenges, and proposes a generative AI-driven framework that addresses these challenges
Phytochemical investigation and anxiolytic evalution of Cassica caradas
Authors: - Mr. Shubham Chaurasia , - Miss. Bhawna Gupta , - Mr. Umesh Kumar Chaurasiya , - Dr. Vijay Nigam
Published: December 2024

About 13-14 % of world’s population has mental health disorders.2 Mental stress leads to various psychiatric disorders like depression, cognitive dysfunction and anxiety.It was found that prevalence rate of anxiety disorder in India is variable.The primary use of sedative–hypnotic and anxiolytic drugs is to encourage calmness (anxiolytics or sedatives) or to produce sleep (sedative–hypnotics). All people are subjected to states of emotional tension and uneasiness. Screening of seed extract of Carissa carandas was carried for anxiolytic property. The extracts screened for anxiolytic activity were found to be potent agent against anxiety by increasing the behavioural activity.
Cloud Computing and Edge Management in Smart Manufacturing: Transforming Production Through Digital Integration
Authors: - Kapil Pothakanoori
Published: December 2024

Integrating cloud computing and edge management systems in the manufacturing sector is revolutionizing
traditional production paradigms. This comprehensive article examines how smart factories are leveraging
cloud-based platforms and Internet of Things (IoT) devices to transform their operations through
enhanced monitoring capabilities, predictive maintenance strategies, and real-time optimization. The
article analyzes the three-tier architecture of modern smart manufacturing systems, exploring the
synergies between edge computing, network infrastructure, and cloud platforms. By examining
implementation challenges, security concerns, and emerging trends, this article provides insights into how
manufacturing facilities are achieving improved efficiency, reduced operational costs, and enhanced
quality control through digital transformation. The article encompasses case studies from the automotive
and pharmaceutical sectors, demonstrating the practical applications and benefits of these technologies in
diverse manufacturing environments.
Analysing the Economic Impact of the War with Russia on Ukraine’s Economy, Challenges and Path Forward
Authors: - Aryan Khandeparkar
Published: December 2024

The ongoing conflict in Ukraine has wrought devastation on the nation’s economy, presenting a unique challenge for its recovery and long-term development. Years of warfare have left a trail of destruction, from decimated infrastructure and shuttered industries to the displacement of millions of citizens. The conflict has not only strained Ukraine’s financial systems but has also undermined investor confidence, eroded institutional capacity, and disrupted the economic lifeline of its people. As the nation looks toward a post-conflict future, rebuilding the economy is a monumental task that requires addressing a spectrum of interrelated challenges, ranging from immediate humanitarian needs to long-term structural reforms. This research paper delves into the intricate and multifaceted process of rebuilding Ukraine’s economy, exploring both the immediate and strategic interventions necessary to secure sustainable growth.

Beyond the horrible loss of life, the battle has a significant economic cost. For a nation already facing pre-existing economic vulnerabilities, the problems have been made worse by the loss of industrial output, disruptions in commerce, and the depletion of human capital. Furthermore, the presence of systemic corruption and political instability creates serious obstacles to the efficient mobilisation of resources and the execution of changes. Ukraine is at a turning point in its history, with the chance to change its economic structure through calculated foreign investments and alliances. The international world has promised significant support for Ukraine's rehabilitation, acknowledging its geopolitical and humanitarian importance.

This paper seeks to provide a comprehensive analysis of Ukraine’s economic recovery process, focusing on the key objectives that drive post-conflict reconstruction efforts. This study intends to offer workable solutions for sustainable growth by assessing the degree of economic harm, identifying significant recovery barriers, and assessing the contribution of foreign assistance. With a focus on green energy, technology, and agricultural innovation, the post-conflict era offers Ukraine a unique chance to modernise its economy and build a strong, inclusive economic base. As a result, this study offers policymakers, investors, and other foreign stakeholders who are dedicated to reviving Ukraine's economy after the war both analytical and prescriptive guidance.
Mobile Banking Adoption Among Indian Youth - A Study With Reference To Medchal District
Authors: - Gowsya Shaik , - Hima Bindhu Vannem Reddy
Published: December 2024

Mobile banking has become a crucial service in the modern era, enhancing customer satisfaction and convenience. The adoption of internet banking has significantly impacted financial services, making mobile banking an electronic option. With the rise of smartphone usage, mobile banking offers a more accessible and cost-effective alternative to traditional banking methods. This paper investigates the youth's attitude towards innovations in the banking sector, focusing on the adoption of latest technology.The banking industry is crucial for economic growth, and digital banking has become the fastest-growing financial channel. Mobile banking has developed due to the rapid use of smartphones and banking apps, allowing customers to access various banking services,including checking account balances, transferring funds&paying bills. This study examines the main factors attracting young people to online banking and the barriers they face in adopting mobile banking in the Medchal region.
Cloud Intelligence and AIOps Integration: A Framework for Autonomous IT Operations in Modern Cloud Environments
Authors: - Sushil Prabhu Prabhakaran
Published: December 2024

This article examines the integration of Cloud Intelligence and AIOps (Artificial Intelligence for IT Operations) in modern cloud engineering environments, focusing on converging AI-driven decision systems and workflow orchestration. The article analyzes how this integration enhances operational efficiency, system resilience, and cost optimization in cloud infrastructures while maintaining robust security and compliance standards. This article comprehensively examines automated resource management, predictive analytics, and self-healing capabilities, demonstrating how Cloud Intelligence transforms traditional IT operations into autonomous, adaptive systems. The findings reveal that implementing AIOps significantly improves incident response times, reduces manual intervention, and enables proactive maintenance through advanced anomaly detection and federated learning approaches. Furthermore, the article highlights the critical role of real-time data integration and dynamic workflow orchestration in achieving optimal cloud performance and reliability. This article contributes to the growing knowledge in cloud engineering by providing a structured framework for implementing Cloud Intelligence solutions. It offers insights into the future evolution of AI-driven cloud operations.
Pedagogical Skills of Multigrade Teachers in the Selected Districts of Unit IV, Division of Ilocos Sur: Basis for Teacher's Development Plan
Authors: - Kathleen H. Dampulay
Published: December 2024

This study focused on the pedagogical skills of multigrade teachers.
The goal of this study was to identify the level of pedagogical skills of
multigrade teachers, how a teachers’ development plan may help provide
quality instruction. The respondents were 61 multigrade teachers in the
selected districts of Unit IV, Division of Ilocos Sur. Most of the respondents
were millennial females. They were new in the teaching field, had units in
their master’s degrees and had attended trainings and seminars related to
their fields. Along methods and strategies, use of resources, assessment
and evaluation, they were highly skilled but they were very highly skilled
in classroom management. There was no significant relationship gauged
between the profile and their pedagogical skills. The teachers’
development plan is a panacea to improve the pedagogical skills of
teachers.
The following are concluded: The multigrade teachers have distinct
characteristics; the pedagogical skills of the teachers are commendable
and praiseworthy but there are some skills to be improved; there are other
profile variables that need to be explored; the teachers’ development plan
is timely and relevant to make them excel to the maximum. It is
recommended that multigrade teachers should finish their graduate or post
graduate studies as a means to enhance their pedagogical skills; they are
encouraged to make their own instructional materials using ICT apps and
future researchers are encouraged to consider testing other variables that
affect the pedagogical skills of teachers. The Teachers’ Development Plan
is to be presented to the District Supervisor for its utilization in the district
Smart Street Lighting: IoT-Driven Innovations for Enhanced Efficiency and Urban Infrastructure
Authors: - Shreya Shree , - Shweta Gupta , - koushik paul , - Dr.Anish Pandey
Published: December 2024

Streetlights play an important role for public safety and urban infrastructure.However, there is a need to replace the traditional streetlights with smart streetlights which contain sensors and actuators integrating with appropriate devices to make them more intelligent . Traditional street lights have many issues like huge power consumption ,small lifespan and hard to detect the fault. To overcome these problems, there is a need to implement smart and advanced technology such as drone based aerial inspection , zig bee based wireless sensors and many more. These technologies not only detect faults but also help to reduce wastage of time ,maintenance cost and enhance its performance.Therefore, the aim of this research is to establish the smart urban infrastructure by enhancing the efficiency and reliability of the street lighting.
Employment Dynamics Among PVTGs in Jharkhand: Challenges and Opportunities
Authors: - Siddhi Pandey , - Priyanshu Kumar
Published: December 2024

Particularly Vulnerable Tribal Groups (PVTGs) are among the most marginalized communities in India, grappling with profound socio-economic challenges. This study examines the employment landscape of PVTGs in Jharkhand, through primary survey in Latehar district, a tribal-dominated district in Jharkhand, focusing on opportunities, obstacles, and current interventions. This paper dives into the exploration of the employment opportunities and challenges among PVTGs and seeks to offer insights into ways these communities can be incorporated into the larger economic framework while safeguarding their cultural heritage. The findings highlight the necessity for targeted policies, skill-building initiatives, and inclusive economic programs to overcome systemic barriers and foster sustainable livelihoods. Sectors such as handicrafts (including bamboo and terracotta), lac production, cultural arts like Sohrai-Khovar, and value-added products derived from forest resources should be promoted through improved infrastructure and market access supported by government initiatives, to enhance livelihood opportunities among PVTGs.
AI-Driven Password Security Management: Integrating Object-Oriented Programming for Improved Protection
Authors: - Maria Arminda Pia R. Agasang , - Glenn F. Villegas , - Bernard Vic N. Caay , - Carmelita H. Benito , - Jesus S. Paguigan
Published: December 2024

Password security has evolved over the years, from simple password storage mechanisms to more complex multi-factor authentication systems. However, despite these advancements, password-related breaches remain a significant concern. Studies show that poor password management is a leading cause of security failures.

Object-Oriented Programming (OOP) has long been a preferred approach for developing large, maintainable software applications. OOP principles such as inheritance, polymorphism, encapsulation, and abstraction allow developers to build modular systems that are easier to extend, maintain, and debug. OOP’s potential in password management systems lies in the ability to create secure, extensible frameworks that can integrate AI components smoothly.

Artificial Intelligence (AI), specifically machine learning and behavior analysis, has been successfully applied in the realm of cybersecurity. AI can help identify patterns in user behavior, flag unusual login attempts, and even generate stronger passwords using predictive models. AI-driven password management systems can dynamically adapt to emerging threats by learning from past interactions and constantly improving their security protocols.
The Role Of Oral Hygiene In The Prevention Of Systemic Diseases: A Public Health Perspective
Authors: - Ms. Nandini Banerjee
Published: December 2024

The article examines the connection between oral hygiene and overall health, stressing the importance of public health efforts to promote better oral care practices as a preventative measure against chronic illnesses. Oral hygiene plays a crucial role in maintaining general well-being, and conditions in the mouth can have a more significant impact on the body than many healthcare providers realize. Poor oral health is not only linked to issues like cavities and gum disease but is also associated with systemic conditions such as heart disease, diabetes, respiratory infections, and complications during pregnancy.
The overlap between medicine and dentistry highlights the necessity for strong collaboration between healthcare providers and dentists, which can lead to early detection and better prevention of these health concerns. The complications resulting from these diseases contribute to substantial morbidity, mortality, and financial burdens on the healthcare system. A focus is placed on understanding how the oral microbiota supports health and how disturbances in this balance can lead to illness.
Examine How Cultural Differences Impact Marketing Strategies and Consumer Preferences
Authors: - Rupali Jadhav
Published: December 2024

In today's globalized marketplace, cultural differences profoundly influence marketing strategies and consumer preferences. This study delves into the intricate interplay between culture and marketing dynamics, aiming to elucidate the multifaceted ways in which cultural nuances shape consumer behaviour and marketing practices (Hofstede, 1980). By analysing existing literature, empirical studies, and case examples, this research seeks to uncover the diverse cultural dimensions that impact consumer decision-making processes, brand perceptions, and purchasing behaviours across various regions and demographics. Furthermore, it investigates the strategies adopted by multinational corporations and local businesses to navigate cultural diversity effectively (Kotler & Armstrong, 2017), emphasizing the importance of cultural sensitivity, adaptation, and localization in marketing initiatives. Through a comprehensive examination of cultural influences on marketing strategies and consumer preferences, this study contributes to a deeper understanding of the complex intercultural dynamics in contemporary marketing landscapes, offering valuable insights for marketers and businesses seeking to engage diverse consumer segments in culturally sensitive and resonant ways (Lee & Green, 1991).
Agricultural Productivity is essential for contributing the Country’s Gross Domestic Product (GDP)
Authors: - Shilpa Lakra
Published: December 2024

Abstract:
Agricultural Productivity refers to the ratio of agricultural outputs to inputs. It is measured by the production (crops, livestock) per unit of input (land, labour, fertilizer, seeds) used in agricultural production. It measures how intensively the agricultural land is used for crop production. The Green Revolution cropping pattern of rice-wheat-rice, MSP regime and open-ended procurement encourage the status quo towards the cropping pattern.
Driver Drowsiness and Yawn Detection with Speed based alerts
Authors: - Syed Fuzail , - Lakshmisha S Krishna , - Asima Siddiqua , - Syed Azam Hussain , - Zubiya Sadaf
Published: December 2024

The project, titled "Detection of Driver Drowsiness and Alertness," is one of the safety enhancement projects aimed at enhancing the safety of the roads by minimizing the risks associated with driver fatigue. Drowsiness affects the reaction time of a driver, his judgment ability, and general awareness levels and
promotes a lot of accidents. It is the cause of many accidents caused by drowsy driving. This is an extreme problem that our project intends to solve by developing a web-based application that utilizes advanced machine learning algorithms and sensor data to assess the indicators of alertness and
drowsiness while driving in real time. The device will reduce the chances of accidents associated with fatigue by alerting drivers through timely warnings and interventions to keep vigilance intact.
The primary application is aimed at implementing computer vision and facial recognition algorithms to track critical markers of driver fatigue including head posture, blink rates, and eye movements. The system is supposed to analyze the physical condition and behavior of the driver by analyzing data from car cameras as well as sensors. It analyzes for things like head nodding , delayed eye blink closure, or several blinks in a short time frame. In the event that the system observes any signs of tiredness , it gives an alert to the driver using auditory or visual modes to take a break or do some form of restorative action to allow him or her to continue focus. Python and dlib are being utilized in the application's backend to prepare a learning model, which analyzes and trains data to improve its accuracy in the long term. The structure of the system is such that it is able to be integrated with modern in-vehicle technologies as it would operate in real time with minimal computation overhead. This project's main aim is to educate the people on the value of drivers' well-being with safety improvements.
AI-Enhanced Healthcare: Leveraging Predictive Analytics for Disease Management
Authors: - Vedaswaroop Meduri
Published: December 2024

This technical article explores the transformative impact of Artificial Intelligence (AI) in healthcare,
focusing on its implementation, challenges, and ethical considerations. The article examines the
architectural framework of healthcare predictive analytics systems, including data ingestion, processing,
and analytics layers. It investigates the clinical applications across diagnostic enhancement and treatment
optimization while addressing critical implementation challenges in data management and clinical
integration. The article further delves into ethical considerations, particularly examining algorithmic bias,
transparency requirements, and patient autonomy in AI-assisted healthcare settings. This article provides
insights into AI integration in healthcare and its implications for future medical practices through
extensive analysis of multiple healthcare facilities and research studies.