bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing Data Reliability in Cloud-Native Environments through AI-Orchestrated Processes
Authors: Pentyala Dillep kumar
Published: February 2025

In today’s fast-evolving digital landscape, cloud-native environments have emerged as the cornerstone of scalable and flexible computing. However, ensuring data reliability within these environments remains a critical challenge due to the dynamic nature of cloud infrastructure, resource variability, and the increased frequency of system failures. Traditional data reliability mechanisms, such as redundancy and replication, often fall short in addressing the complex demands of modern cloud-native applications. This paper proposes an innovative approach to enhancing data reliability through the integration of Artificial Intelligence (AI)-orchestrated processes. AI techniques, including machine learning algorithms, predictive analytic, and real-time data monitoring, offer promising solutions to detect, predict, and mitigate issues related to data consistency, availability, and fault tolerance in cloud-native environments.
The research examines the application of AI-driven orchestration in managing cloud infrastructure, focusing on automation of error detection, real-time anomaly identification, and dynamic adjustment of resources to ensure continuous data reliability. By leveraging  AI's capabilities, cloud-native systems can autonomously identify potential data inconsistencies, optimize resource allocation, and rapidly recover from failures, all while maintaining high system performance. Through a comprehensive review of existing literature, coupled with practical case studies and quantitative evaluation, the study demonstrates the substantial advantages of AI-enhanced processes over traditional data management strategies. These benefits include increased operational efficiency, reduced human intervention, improved system resilience, and enhanced fault tolerance.
While AI orchestration offers significant potential, challenges such as the computational complexity of AI models, data security concerns, and the need for robust AI model training must be addressed for broader adoption. The findings of this research contribute to a deeper understanding of AI’s role in modernizing cloud-native data management and provide actionable insights for organizations looking to adopt AI-driven solutions to enhance data reliability in their cloud environments.
As vivências da pessoa idosa diante da solidão e solitude: uma leitura fenomenológico-existencial
Authors: Areco Felipe de Souza , Ferreira Denise de Carvalho , Gallo Lisley Soares , Pedro Wilson José Alves
Published: February 2025

Objetivo: compreender o papel e a importância do fenômeno da solidão e solitude a partir dos idosos e os sentimentos de ser-no-mundo. Método: pesquisa qualitativa baseada no método fenomenológico, com entrevistas não estruturadas guiadas pela questão: “Como é para você vivenciar momentos de solidão e/ou solitude?”. Utilizou-se entrevistas, inicialmente por indicação e posteriormente pela técnica de bola de neve. As narrativas foram transcritas, analisadas fenomenologicamente e organizadas categorias temáticas. Resultados: participaram quatro pessoas idosas e emergiram quatro categorias: Percepção da solitude e solidão no envelhecimento; Papel das relações sociais no ser-no-mundo; Reconhecimento diante do envelhecimento, com a ressignificação das mudanças físicas e emocionais; e Busca por sentido na existência. Conclusão: as vivências revelaram desafios relacionados à senescência, como perdas significativas, mudanças corporais e a percepção da finitude. A solidão e a solitude, embora marcadas por momentos de dor, também se mostraram libertadoras, com reflexão e ressignificação das experiências, ampliando a compreensão sobre essas vivências no envelhecimento.
Construção e validação de checklist de aferição de glicemia capilar no recém-nascido
Authors: Silva Janaína Aparecida Maia , Pereira Ketlin Meira , Silva Maria Paula Custódio , Oliveira Karoline Faria de , Contim Divanice , Rocha Jesislei Bonolo Amaral
Published: February 2025

Objetivo: construir e validar um checklist para avaliar as habilidades técnicas de estudantes de enfermagem na aferição de glicemia capilar no recém-nascido. Método: estudo metodológico, realizado entre julho de 2023 e fevereiro de 2024, em ambiente virtual, desenvolvido em duas etapas: elaboração e validação de um checklist. Os dados foram analisados por meio do Índice de Validade de Conteúdo. Resultados: participaram do estudo nove enfermeiras especialistas. A versão final do instrumento ficou estruturada em 31 itens e obteve Índice de Validação de Conteúdo médio maior que 0,80. Conclusão: o checklist foi validado e poderá contribuir no desenvolvimento de atividades educativas na graduação e subsidiar estudos futuros, para ampliar a qualidade do cuidado na aferição de glicemia capilar no recém-nascido.
Totally implantable venous access devices: A fifteen-year single-center experience
Authors: Kılıç Berkay , İlhan Burak , Karanlık Hasan
Published: February 2025

Objectives: Totally implantable venous access devices (TIVADs) are frequently used in cancer patients, offering significant comfort and advantages. This study aims to evaluate the outcomes of patients who underwent port catheter placement.
Methods: Data from 3,774 patients who underwent venous port catheter placement between 2007 and 2022 were reviewed. Demographic information, primary diagnoses, port placement locations, number of punctures, complications, and reasons for removal were recorded.
Results: The median age of the patients was 54 years (range: 18-86 years). Catheters were placed on the right side in 3,667 patients (97.2%). The most commonly used vessel was the right subclavian vein, accessed in 2,494 patients (66.1%). Complication rates were observed as follows: femoral vein (40%), brachial vein (20%), subclavian vein (12.1%), internal jugular vein (9.9%), and external jugular vein (6.5%). The complication rate following a single puncture was 7.4%, compared to 16.1% for multiple punctures, showing a significant increase with the number of punctures (P=0.03). The most common early complication in 142 (3.8%) patients was arterial puncture with bleeding or hematoma, while the most common late complication was catheter infection of 1.4% (n=54).
Conclusions: Venous port catheter placement is generally safe, with the right subclavian vein being the most commonly used site. Ultrasound-guided placement reduces complications, which are more frequent with multiple punctures and left-side placements. Early complications like arterial puncture were more common, while late complications were primarily catheter infection.
Exploring pediatric surgery dissertations: Focus areas and future directions
Authors: Azizoglu Mustafa , Kamci Tahsin Onat
Published: February 2025

Objectives: The aim of this study was to evaluate pediatric surgery dissertations included in the Higher Education Council dissertation database.
Methods: A search was conducted in Turkey's Higher Education Council dissertation database using the keyword "pediatric surgery" to identify all dissertations published in the database between 2019 and 2023. The evaluation focused on dissertation topics.
Results: A total of 120 dissertations were analyzed. The most common topics were related to the gastrointestinal system (n=37) and urology (n=30). Clinical studies showed an increasing trend over the years, rising from 53% in 2019 to 80% in 2022, before slightly decreasing to 72% in 2023. Experimental studies accounted for 47% of the studies in 2019 but declined to 20% in 2022, with a slight recovery to 28% in 2023 (P=0.242). Clinical studies dominated in most sections, particularly in traumatology (100%), thoracic surgery (86%), and general pediatric surgery (80%). Experimental studies had higher proportions in gynecology (60%) and urology (43%) (P=0.090). The most common topics were related to appendicitis (n=9), esophageal atresia (n=8), anorectal malformations (n=7), hypospadias (n=7), and testicular conditions (n=7). Dissertation top five topics accounted for 32% of all topics.
Conclusions: Pediatric surgery dissertations mainly centered on clinical studies, with a notable focus on gastrointestinal and urological topics. Appendicitis, esophageal atresia, and anorectal malformations were the most studied areas. Regenerative medicine was significantly underrepresented. Encouraging studies in regenerative medicine and multidisciplinary approaches could drive innovation and address gaps in pediatric surgery research.
Biotechnology's Benefits to Agriculture: Increasing Crop Production and Quality
Authors:   Atal Bihari Vajpayee Vishwavidyalaya Bilaspur, Chhattisgarh, India, Sisodiya Aakriti Singh
Published: February 2025

Biotechnology has emerged as a transformative force in agriculture, offering unprecedented benefits to enhance crop production and quality. This interdisciplinary field integrates biology, genetics, and technology to manipulate living organisms at the molecular and cellular levels, paving the way for innovative solutions to address global food security challenges. One of the key contributions of biotechnology to agriculture is the development of genetically modified (GM) crops with enhanced traits such as resistance to pests, diseases, and adverse environmental conditions. These traits not only bolster crop yields but also reduce the reliance on chemical pesticides and fertilizers, promoting sustainable and environmentally friendly farming practices (Qaim & Kouser, 2013).
Precision breeding techniques, including CRISPR-Cas9, have revolutionized the genetic modification process, enabling scientists to precisely edit specific genes without introducing foreign DNA. This approach holds immense promise for tailoring crops with desired traits, ranging from improved nutritional content to enhanced resistance against emerging pathogens. Additionally, biotechnology plays a pivotal role in the development of biofortified crops, addressing malnutrition by increasing the nutritional value of staple foods. Golden Rice, fortified with beta-carotene, stands as a notable example, offering a solution to vitamin A deficiency in developing countries (Paine et al., 2005).
Furthermore, biotechnology contributes to the development of sustainable agricultural practices through the production of biofuels and bio-based materials. Engineered microbes and plants are harnessed to generate biofuels, reducing reliance on non-renewable energy sources and mitigating environmental impact (Himmel et al., 2007). The integration of biotechnology in agriculture not only fosters increased productivity but also plays a crucial role in addressing broader societal challenges, such as climate change and resource depletion.
Population Dynamic of Cotton Leafhopper, Amrasca devastans (Homoptera: Jassidae) in Haryana - A Review
Authors:   Bhai Gurdas Degree College, Sangrur, Punjab-India, Kalia Monika , Kumar Kanwar ,   Bhai Gurdas Degree College, Sangrur, Punjab-India
Published: February 2025

Cotton leafhopper, Amrasca devastanshas become very serious pest in recent years. Both nymphs and adults suck the sap from under surface of the leaf causing specking symptoms, crinkling and distortion of leaves and reddening all along the sides of leaves with downward curling. A. devastans caused significant damage during early stage by sucking the cell sap of the cotton leaves. The incidence of leafhopper was recorded from 23rd SMW to 38th SMW at seven days interval. The maximum leafhopper population on RCH 650 BGII Bt (2.26/ leaf) was found during 33rd SMW and on H-1098-i non-Bt (1.89/ leaf) was found during 32nd SMW. Throughout the season the leafhopper incidence was found lower than the economic threshold in H-1098-i non-Bt. Nymphal population exhibited significant positive correlation with relative humidity and rainy days.
Advancements in Plant Breeding: New Techniques and Future Directions
Authors:   Department of Agronomy, University of Agriculture, Faisalabad 38040, Pakistan, Ahmad Muhammad
Published: February 2025

This review describes the advances in plant breeding-from traditional to state-of-the-art molecular methods emphasizing the role of innovation in MAS, QTL mapping, and genomic selection to bring about changes in a transformative manner through CRISPR/Cas9 gene editing technologies. Such innovative approaches have impressively increased the rate of precision with which crop varieties are produced to possess desirable attributes for resistance to diseases, abiotic stress tolerance, and improved nutritional levels. The present pace of progress in crop improvement has been further accelerated by the integration of omics technologies, high-throughput phenotyping, and precision agriculture. However, this review also discusses some of the ongoing challenges with respect to ethical issues, intellectual property rights, and ecological effects. While emerging technologies like artificial intelligence, machine learning, and synthetic biology could probably underpin the future of plant breeding, this needs to be pursued with due consideration for ethical and socio-economic consequences to ensure global food security.
Innovative Food Solutions for a Sustainable Future: Design and Technology
Authors:   Faculty of Agriculture, University of Agriculture, Faisalabad, Pakistan, Ahmad Muhammad
Published: February 2025

The escalating global population, resource depletion, and climate change underscore the urgency of sustainable food systems. This review explores innovative solutions in food production, processing, and packaging to address food security challenges while minimizing environmental impact. Advances such as Agriculture 4.0, leveraging IoT, robotics, and precision agriculture, enhance resource efficiency and productivity. New Plant Breeding Techniques (NPBTs) and non-thermal processing methods ensure higher yields, nutrient preservation, and safety with reduced environmental footprints. Sustainable packaging solutions, including biodegradable and edible materials, contribute to waste reduction and circular economy goals. Despite cultural and technical adoption barriers, these innovations align with the United Nations Sustainable Development Goals, offering a pathway to equitable, resilient, and sustainable food systems. Enhanced investment, research, and policies are imperative for maximizing these technologies' potential and ensuring a secure food future.
Blended and Flipped Classroom: Backing for Better Academic Success
Authors: Hamzaoui Chahrazed
Published: February 2025

In recent years, university instructors have increasingly adopted the flipped classroom model, a form of instruction that leverages digital technologies to shift direct teaching outside the traditional group learning space, typically through videos, and emphasizes active learning during in-class time. This review paper explores the evolution and impact of the flipped and blended learning models, which gained traction through positive student feedback, the author's professional experience, and a thorough review of existing literature. The paper presents a comprehensive framework for designing effective flipped or blended courses, highlighting essential components and providing insights into the types of activities best suited for this model. The framework emphasizes the importance of a structured approach that ensures all voices are heard and integrated into the course delivery cycle, while also fostering collaboration between instructors and students. The study concludes with recommendations for successfully implementing flipped and blended learning, offering guidance to educators seeking to optimize student engagement and academic achievement through this innovative instructional model.
Keywords: Academic success; author; backing; blended learning; flipped classroom; students
Pengaruh Gaya Belajar Terhadap Hasil Belajar Siswa [The Influence of Learning Styles on Student Learning Outcomes]
Authors: Sugiarto Antonius , Erawati Erawati , Soelaksono Tri Poedji
Published: February 2025

Learning style refers to the way a person or student acquires knowledge taught by a teacher in the classroom. Each student has a different learning style. Some students may have only one learning style, while others may have several. Given the diversity of learning styles, this research aims to investigate whether a student's learning style can influence their academic achievement. A Likert scale questionnaire with four indicators was used as a research instrument to measure the learning styles of the students. In addition, a chi-square (X²) test was conducted to determine if there is a relationship between learning styles and academic achievement, and a mean test was used to determine if one particular learning style has a greater impact on academic achievement. The data analysis using the chi-square test showed that H0 was accepted, meaning there is no significant relationship between students' learning styles and their academic achievement. The mean test also showed that H0 was accepted, with the calculated F-value (1.16) being greater than the tabulated F-value (0.84).
Menguji Virtual Reality Dengan Metode Pembelajaran Konvensional di Kalangan Gen - Z Atau Alfa [Testing Virtual Reality with Conventional Learning Methods Among Gen - Z Or Alpha]
Authors: Novianti Ade Eva
Published: February 2025

This study highlights the need for the education system to adapt to the rapid development of technology, especially in response to changes in student behavior, particularly those from Generation Z and Alpha. The researcher suggests that effective learning methods can no longer rely solely on a single approach, such as the traditional verbal method, but must integrate other methods, particularly the use of technology like virtual reality (VR), to create more engaging and effective learning experiences. Based on the results of this study, which used a qualitative approach with virtual reality as the research instrument, 80% of respondents found learning with VR to be enjoyable, while only 3 out of 15 respondents showed interest in conventional methods. These findings indicate that the use of technology, especially VR, has great potential to meet the preferences of younger generations, who are more accustomed to technology and require a more interactive and innovative approach to learning. This research provides valuable insights for educators to consider incorporating technology into the learning process, as a way to address the behavioral changes and needs of Generation Z and Alpha, who are more dynamic. By leveraging technology, educators can create a more enjoyable and effective learning environment, ultimately improving students' learning outcomes.
Ammonia as an alternative fuel to internal combustion engines
Authors: Stępień Zbigniew
Published: February 2025

The article presents a broad review of the current state of knowledge in the potential of using ammo-nia as a fuel for internal combustion engines. A critical analysis of the physicochemical and functional properties of ammonia was carried out in the context of using it as a fuel for internal combustion en-gines. Challenges related to the problems of creating a mixture and the combustion process of ammonia in both SI and CI engines were described. It was indicated that using an admixture of small amounts of fuels to ammonia to act as combustion promoters was necessary. Attention was drawn to the problems related to the exhaust emissions that occur when using ammonia or ammonia with an admixture of other fuels to power engines. The issue of the adverse effect of ammonia combustion products and ammonia itself on the lubricating engine oil was also discussed. The need to develop dedicated lubricating oils for internal combustion engines fueled with ammonia was explained..
Ethical Implications of Using Artificial Intelligence in Education
Authors: Paraschiv Roxana
Published: February 2025

The paper discusses the impact of artificial intelligence (AI) use in education. After presenting the concept of artificial intelligence, the paper details the numerous benefits of integrating AI into educational practices. The ability of computer systems to simulate human intelligence opens up significant opportunities for personalized learning, enhances the efficiency of instructors, provides rapid feedback to students, and much more. Using AI to perform various educational activities, whether in teaching or administration, involves employing algorithms trained on large datasets to automate different tasks. These tasks include grading, providing personalized feedback, predicting student behavior, selecting candidates in the admission process, and others. Despite their utility, these algorithms are often complex and not fully understood by the users, which presents certain challenges. In light of these challenges, the paper also addresses several ethical issues associated with AI in education, such as algorithmic transparency, privacy protection, algorithmic bias, and the digital divide. Various institutions and international organizations have responded to these concerns by developing guidelines to protect the beneficiaries of the educational system. However, implementing these guidelines in practical and effective ways remains a significant challenge. Moreover, the paper highlights the importance of continuous dialogue between educators, policymakers, and technologists to ensure that AI in education is used responsibly and ethically. It underscores the need for ongoing research and development to improve the transparency and fairness of AI systems and to bridge the digital gaps that may exacerbate educational inequalities.
Peaceful Settlement of International As Well As Political And Religious Disputes
Authors: Buzescu Gheorghe
Published: February 2025

In the 76 years that have passed since the adoption of the United Nations Charter, the international society continues to face disputes and situations regarding interstate relations that it tries to resolve by peaceful means or, as the case may be, by resorting to force. Conflicts are an inevitable reality of relations between states, as inevitable as in the case of interpersonal relations. Often, states can pursue the same finality, but the ways of achieving the goal pursued or the claims that are raised differ, a factor that can lead to the arisal of conflicts.In the process of peaceful settlement, states enjoy full freedom of choosing the means of peaceful settlement, in such a way that they correspond to the characteristics of the dispute and ensure its resolution. Thus, the subjects of international law have a wide range of possibilities, starting from simple consultations and up to jurisdictional means. Peaceful settlement instruments can be used at any time, regardless of the order, but states have the obligation to act in good faith in order to find a solution to end the conflict.
ANALYSIS OF THE FEASIBILITY OF WOOD WORKSHOP FACILITIES AND INFRASTRUCTURE THROUGH THE VIRTUAL LABORATORY CONCEPT IN PREPARING EMPLOYABILITY SKILLS FOR PROSPECTIVE VOCATIONAL SCHOOL TEACHERS
Authors: Atika Liana , Khairuni Zhilli Izzadati , Putra Riansyah , Siregar Syafiatun , Lukman Mena Fadilla , Ridho Dhimas , Harahap Safrinanda
Published: February 2025

This study aimed to determine the feasibility of the wood workshop area in the Wood Stone and Plumbing Workshop, Faculty of Engineering, State University of Medan, based on the required standards. This is done to provide comfort for users of the Wood Stone and Plumbing Workshop, Faculty of Engineering, State University of Medan. This study is a type of research with a descriptive, evaluative method. The subjects in this study were the Wood Stone and Plumbing Workshop, the Faculty of Engineering, the State University of Medan, and the Wood Workshop. In contrast, the object of the study was the area of the Wood Workshop workspace, Faculty of Engineering. Data collection methods were by interview, observation, and documentation. The data analysis technique was carried out using a quantitative method, namely comparing the research data at the Wood Stone and Plumbing Workshop, Faculty of Engineering, State University of Medan, with existing standards and supported by the results of field observations. The results of this study are that the area of the Wood, Stone and PlumbingWorkshop workspace at the Faculty of Engineering, State University of Medan meets the space standards, namely 128 m2, which is smaller than the standard size of 256 m2, and the area of the instructor's room at the Wood, Stone and Plumbing Workshop, Faculty of Engineering, State University of Medan does not meet the space standards, 40 m2, which is smaller than the standard size of 48 m2.
Cognitive Therapy and Routine Recommendation System (CTRRS): An AI-Driven Approach for Mental Health
Authors: Shah Yaser Ali , Um-e-Aimen  , Bushra Rida , Khalil Amaad , Ali Shahbaz Saad , Ali Javed Mashab
Published: February 2025

Depression detection and management is an important research field nowadays. In this research work, Cognitive Therapy and Routine Recommendation System (CTRRS) is proposed. It automates the process of detecting depression and provides personalized mental health recommendations using a Random Forest model for healthcare activities and a Long Short-Term Memory (LSTM) model for sentiment analysis. The LSTM architecture includes dense layers, bidirectional LSTM layers, and embedding layers, with term frequency-inverse document frequency (TF-IDF) vectorization and early stopping to prevent overfitting. Furthermore, a Voting Classifier improves classification performance by combining the advantages of multiple models. The system's evaluation is centered on accuracy, precision, recall, and F1-score, with confusion matrices offering in-depth analysis. Finally, CTRRS uses a cosine similarity algorithm to customize content to user preferences, increasing engagement. The study integrates machine learning and deep learning by employing a Random Forest model for healthcare activity recommendations and an LSTM model for sentiment analysis and depression detection. This combination leverages the strengths of both approaches to enhance the system's overall performance. Additionally, ensemble learning techniques such as bagging, boosting, and stacking are utilized to balance performance trade-offs and improve predictive accuracy. The LSTM model achieved 96.38% accuracy, 98.10% precision, 94.50% recall, and a 96.27% F1-score, which are important findings. Through user-friendly visualizations (PHQ-9 survey responses, word clouds highlighting frequent terms in depression-related texts, bar charts displaying top TF-IDF features, and confusion matrices for model performance evaluation), CTRRS enables users to monitor their progress in terms of mental health and compliance with recommendations. This research advances mental health care by providing a solution that is stigma-free, scalable, and accessible.
Identification of Diseases caused by non-Synonymous Single Nucleotide Polymorphism using Machine Learning Algorithms
Authors: Anjum Muhammad Junaid , Tariq Fatima , Anjum Khadeeja , Shaheen Momina , Safdar Saman
Published: February 2025

The production of vaccines for diseases depends entirely on its analysis. However, to test every disease extensively is costly as it would involve the investigation of every known gene related to a disease. This issue is further elevated when different variations of diseases are considered. As such the use of different computational methods are considered to tackle this issue. This research makes use of different machine learning algorithms in the identification and prediction of Single Nucleotide Polymorphism. This research presents that Gradient Boosting algorithm performs better in comparison to other algorithms in genic variation predictions with an accuracy of 70%.
Protection Issues and Challenges within the Cloud: A Survey
Authors: Latif Muhammad , Mehmood Bushra , Khalid Nauman , Ahmed Shahzad , Abro Abdul Basit , Ahmed Maaz
Published: February 2025

A vast range of computing services are accessible over the Internet utilizing the cloud network. In recent years the cloud storage sector and several others have integrated and encouraged scholars to explore emerging technology. Because of its infrastructure and computing capabilities, its device, data, and resources are transferred to the Cloud Storage System. No expensive network infrastructure is required for consumers and their service costs are reduced to a minimum. Regardless of its advantages, the transition of local computing into remote computing has provided customers and vendors with a range of protection issues and threats. The reliable third party provides several cloud platforms that present new security risks. The cloud provider offers its services over the Internet and uses numerous web technologies that create new security challenges. This paper discusses the fundamental features, safety issues, threats, and solutions for cloud information. The paper also discusses many open-ended cloud security research issues. Over the past five years, substantial technological innovations have emerged, which can add extra comfort to daily lives at the corporate and private levels. Both the personal and the shared divisions have significantly progressed in the advancement of cloud storage technologies. It was evident recently that many companies and organizations have transferred the rest of their burdens onto the cloud. However, the protection problem is a significant debate regarding centralized IT control, which is web-based and susceptible to different forms of attacks. While security measures are in place throughout the entire era, security continues to be a challenge. Here we performed a report on distributed computation and investigated various kinds of attacks and dangers on this modern invention, including various kinds of attacks and dangers on the latest concept, combined with protection measures and current structures.
A Systematic Approach to Probabilistic Modeling for Retrieving Sindhi Text Documents
Authors: Mahar Mashooque Ali , Mahar Shahid Ali , Mushtaque Muhammad Imran , Mirjat Ruqia , Javed Ahmed Mahar
Published: February 2025

Information Retrieval (IR) systems retrieve the relevant information from the document based on the user queries. However, due to the paucity of linguistic resources, IR systems for the regional languages of Pakistan failed to achieve the required accuracy. A new systematic methodology is presented in this research article to retrieve the text form the document written in Sindhi language using Probabilistic modeling approach. This approach is considered as most efficient accessible methodology in most of the probabilistic models. Following the data collection, total 108 newspapers and 29 books were categorized into text documents against different topics. Collectively, 68765 documents were generated in all. For test cases, twenty queries applied to each case categorized into three classes i.e. One-Word query, Two-Word query and Three-Word query. Total 136 documents retrieved which provide 0.79 average precision cumulatively. However, further documents need to be added into the developed database in order to improve the performance of the IR system.
Investigating Effort Estimation Techniques for Mobile Applications: An Efficient Approach
Authors: Mohammad Ayub Latif  , Khan Muhammad Khalid , Akbar Saad , Khan Usman
Published: February 2025

Estimating the effort of mobile applications is essential because many of the applications are now working on mobile platforms. A need exists to understand the difference between Effort Estimation for mobile applications and other computer applications. The last decade has seen a revolution in the use of mobile applications, which has caused in an exponential increase in the total number of mobile phone users worldwide. The first objective of this work is related to the software industry, and that is to identify which techniques are used for calculating the effort of mobile applications. The first objective also dwells into the identification of the accuracy that was achieved by using those techniques. The second objective is to propose an efficient approach for the effort estimation of mobile applications. A 5+1 methodology is suggested which should be accommodated when proposing a model for the effort estimation of mobile applications. The proposed methodology is validated through intensive investigation of the literature and it is believed that if this 5+1 methodology is adopted, the proposed model will surely bring excellent results in terms of accuracy of the predicted effort that the proposed model will attain. A small case study is also mentioned as a starting point for the validation of the 5+1 proposed methodology and it shows how the methodology can be utilized for the effort estimation of a simple mobile application.
PDDNet: Deep Learning Based Dental Disease Classification through Panoramic Radiograph Images
Authors: Hasnain Muhammad Adnan , Ali Zeeshan , Saeed Asif , Aijaz Sadaf , Khurram Muhammad Saeed
Published: February 2025

The high prevalence of dental cavities is a global public health concern. If untreated, cavities can lead to tooth loss, but timely detection and treatment can prevent this outcome. X-ray imaging provides crucial insights into the structure of teeth and surrounding tissues, enabling dentists to identify issues that may not be immediately visible. However, manual assessment of dental X-rays is time-consuming and prone to errors due to variations in dental structures and limited expertise. Automated analysis technology can reduce dentists’ workload and improve diagnostic accuracy. This study proposes the Prediction of Dental Disease Network (PDDNet), a CNN-based model for classifying three categories of dental disease: cavities, fillings, and implants, using X-ray images. PDDNet’s performance is compared with six well-known deep CNN classifiers: DenseNet-201, Xception, ResNet50V2, Inception-V3, Vgg-19, and EfficientNet-B0. To ensure balanced class distribution and enhance classification accuracy, the ADASYN oversampling technique is employed. PDDNet achieves an impressive accuracy of 99.19%, recall of 99.19%, precision of 99.19%, AUC of 99.97%, and F1-score of 99.17%, outperforming the other classifiers across multiple performance metrics. These findings demonstrate PDDNet’s potential to provide significant assistance to dental professionals in diagnosing dental diseases.
Evaluation of Machine Learning Algorithms on Software Fault Estimation (SFE)
Authors: Qamar Nosheen , Danial Rehana , Ahmad Sanan , Saleem Muhammad Bin , Nazir Faria , Aslam Hareem
Published: February 2025

Software Fault Estimation (SFE) approaches are being utilized to develop error free and cost friendly software. In this regard, machine learning algorithms are utilized to efficiently estimate the faults in the software. In this study, we implement eight machine learning based algorithms such as Long Short Term Memory networks (LSTM), K-Nearest Neighbors (KNN), Recurrent Neural networks (RNN), Graph Neural Network (GNN), Multi Layer Perception (MLP), Naïve Bayes, Random Forest, and Entropy using logistic regression model. All the algorithms are applied to the promise dataset for performance evaluation based on performance benchmarks such as recall, accuracy, and precision. MLP and LSTM algorithms showed promising results as compared to the other algorithms in terms of precision, accuracy, and recall. LSTM showed 0.83,0.85, and 0.8% precision, accuracy,and recall, respectively whereas RNN showed 0.79%, 0.60, and 0.79% recall, precision, and accuracy, respectively.
METHODOLOGICAL ASPECTS OF ELECTRICAL LOGGING DATA INTEGRATION FOR INVERSION BASED ON TWO-DIMENSIONAL AXISYMMETRIC FORMATION MODELS
Authors: Sukhorukova K.V. , Petrov A.M. , Lapkovskaya A.A. , Ananyev S.V.
Published: February 2025

This work is dedicated to the development of a numerical inversion methodology for electrical logging data in sub-vertical and slightly inclined oil and gas wells. It examines the specific features of joint inversion of galvanic and induction logs combined in various configurations, depending on the equipment used. The axisymmetric two-dimensional geoelectric model of medium consists of homogeneous blocks separated with horizontal and coaxial cylindrical boundaries. The blocks are characterized by horizontal and vertical electrical resistivity, as well as dielectric permittivity. Numerical inversion is carried out until a minimal discrepancy is achieved between the measured signals and those simulated within the interpretive formation model. Unlike the traditional layer-based approach, this inversion method involves not only adjusting the sounding curves but also accounting for signal variations along the borehole. In this case, the resulting model aligns as closely as possible with the actual measurements. Inversion based solely on galvanic measurements can potentially yield unstable results near boundaries with high resistivity contrasts, underestimating the resistivity of layers adjacent to highly resistive ones. The ambiguity can be reduced through joint inversion of galvanic and induction logs, although this often requires the base formation model to be more complex. In particular, during drilling with fresh clay-based mud in reservoirs with mixed oil and mineralized formation water saturation, a low resistivity annulus forms. This zone is more electrically conductive than both the invaded zone and virgin formation due to the higher content of saline formation water. It cannot be detected through galvanic well logs analysis, but its influence on induction logs is significant. Therefore, the presence of an annulus may be a crucial factor to consider when constructing a geoelectric model of the formation that aligns with resistivity logs obtained with different logging methods. These specifics are illustrated with the results of inversion of real data measured in vertical wells in the intervals of Lower Cretaceous and Jurassic deposits of the Shirotnoe Priobie oil fields.
International Trade and Growth in Nigeria
Authors: Adeniji Quadri , Kareem Rasaki Olufemi , Taiwo Abdulqodir Babtunde , Ashiru Lukman Olawale
Published: February 2025

The study investigates the relationship between international trade and economic growth in Nigeria from 1981 to 2022. The specific objective was to assess the impact of total imports, and total exports on per capita income. Data on total imports, exports (proxies for international trade), and per capita income (proxy for economic growth) were obtained from the World Bank Development Indicators (WDI). The stationarity of the data was tested using the Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) tests. The appropriate lag lengths were determined using lag length selection criteria. The ARDL bound test was employed to assess the long-run relationships among the variables. The Error Correction Model (ECM) was applied to estimate the coefficients in the model. The results of the ADF and PP tests showed that the variables were stationary at mixed levels, both at level I0 and first difference I1. A one-period lag was selected based on the lag length criteria. The ARDL bound test revealed significant long-run equilibrium relationships in the Model. The ECM results revealed that imports had an insignificant negative effect on per capita income (coefficient = -0.017954, p = 0.4627), while exports had an insignificant positive effect (coefficient = 0.004460, p = 0.8352). The study concluded that international trade had an insignificant impact on Nigeria's economic growth over the study period and recommends that the government should implement trade policy reforms that simplify procedures and reduce trade barriers to expand market access and increase Nigeria’s integration into global supply chains.
Neuritin suppresses GABAergic neurons ferroptosis to improve cognitive impairment in diabetes mellitus
Authors: Zhou Hongli , Zhang Zuo , Zhou Jianyun , Zhou Jiyin
Published: February 2025

Aims: Alterations in iron homeostasis are associated with several neurodegenerative diseases. Cognitive dysfunction has become an important concomitant symptom in people with type 2 diabetes mellitus. Therefore, we investigated the role of neuritin in ameliorating cognitive dysfunction resulting from ferroptosis in diabetic neurons using a model of neuritin overexpression in GABAergic.
Methods: The constructed transgenic mice were used to observe memory function changes using the Morris water maze. The ferroptosis in GABAergic in hippocampus and AMPK/Nrf2 signaling pathway were detected by Western blot, transmission electron microscopy, and immunofluorescence. High glucose was used to induce ferroptosis in HT22 cells in vitro, and neuritin was further confirmed to reduce ferroptosis in HT22 cells through AMPK/Nrf2 signaling pathway by chemical assays and Western blot assays.
Results: Neuritin overexpression in GABAergic of db/db mice significantly ameliorated cognitive dysfunction, mitochondrial dysfunction, reversed ferroptosis-associated symbolic changes and reduced ferroptosis in the hippocampus. And also increased the co-localisation coefficient of GAD65 and AMPK in the hippocampus. Neuritin activates the AMPK/Nrf2 signaling pathway to inhibit high glucose induced ferroptosis in HT22 cells. Neuritin was observed to regulate the AMPK/Nrf2 signaling pathway in HT22 cells and promote Nrf2 expression to inhibit HT22 cell ferroptosis and ameliorate diabetic cognitive dysfunction.
Conclusions: These findings suggest that neuritin may attenuate diabetes associated cognitive dysfunction by modulating neuronal ferroptosis, at least partly via AMPK/Nrf2 signaling pathway.
Medienerziehung in der stationären Kinder- und Jugendhilfe
Authors: Fendt Marvin
Published: February 2025

Die Bedeutung der Medienerziehung und deren protektive Wirkung auf problematische Internetnutzung wurden im Familienkontext bereits vielfach erforscht. Eine mutmaßlich biografisch stark vorbelastete Zielgruppe, junge Menschen in der stationären Kinder- und Jugendhilfe, wurde dabei jedoch kaum beachtet. Folglich stellen sich die Fragen, inwieweit Internet Gaming Disorder in der stationären Kinder- und Jugendhilfe ein Problem darstellt und wie ihr durch Medienerziehung begegnet werden kann. Deswegen wurden Fachkräfte (N = 319) nach ihrer Medienerziehung, ihrer wahrgenommenen Internet Gaming Disorder und medienpädagogischen Einrichtungsfaktoren befragt. Die Rückmeldungen wurden deskriptiv sowie mittels multipler linearer Regressionsanalysen untersucht. Jeweils etwa ein Drittel der Einrichtungen weist medienpädagogische Beauftragte oder medienpädagogische Konzepte auf. Etwa ein Fünftel stuft die Internetnutzung der jungen Menschen als problematisch ein. Ein höheres Fachkraftalter geht mit intensiverer Anwendung aller Medienerziehungsstrategien einher, während keine Geschlechtereffekte identifizierbar waren. Stärkere Internet Gaming Disorder geht signifikant mit geringerer restriktiver Mediation und weniger intensivem Co-Viewing einher. Eine intensivere Verankerung medienpädagogischer Inhalte in der Einrichtungskultur geht signifikant mit intensiverem Monitoring einher. Die Ergebnisse legen nahe, dass in der Praxis zwar ein Problembewusstsein existiert, jedoch weder die strukturellen noch individuellen Voraussetzungen für gelungene Medienerziehung flächendeckend umgesetzt werden. Künftige Forschungsvorhaben könnten medienerziehungsförderliche Rahmenbedingungen, einen Plan zu deren Implementierung und die Fachkraft-Junge-Menschen-Interaktion bei der individuellen Entscheidungsfindung der Fachkräfte beleuchten.
Welchen Einfluss hat der soziale Status auf die Selbstdarstellung in Sozialen Medien
Authors: Ritscher Jonas
Published: February 2025

Ziel der Bachelorarbeit war zu untersuchen, welchen Einfluss der soziale Status und die soziale Herkunft junger Menschen auf ihre Selbstdarstellungspraktiken – insbesondere auf Instagram – haben. Der Fokus liegt auf der Frage, warum bestimmte Bilder geteilt werden und welche Rolle dabei der soziale Status spielt. Die Literaturarbeit stützt sich auf theoretische Ansätze von Pierre Bourdieu und empirische Studien, um die Wechselwirkungen zwischen sozialer Herkunft, sozialem Status, Geschmack und der Nutzung von sozialen Medien zu untersuchen. Inhaltliche Gestaltungspraktiken der Beiträge und der Zusammenhang zwischen Medienkompetenz und dem sozialen Status der Nutzer:innen werden fokussiert betrachtet. Der Beitrag schließt mit der Feststellung, dass die soziale Herkunft und der soziale Status einen signifikanten Einfluss auf die Selbstdarstellung junger Menschen in sozialen Netzwerken haben. Die Soziale Arbeit steht vor der Herausforderung, diese sozialen Ungleichheiten zu erkennen und in ihrer Praxis zu berücksichtigen. Zudem wird das Konzept der Habitussensibilität als möglicher Ansatz für die Soziale Arbeit vorgestellt, um den aufgezeigten Problemen zu begegnen.
Umsetzung Digitaler Teilhabe im Sozial- und Wohlfahrtswesen
Authors: Hüning Nadine , Wohlgefahrt Julia , Albrecht Joanna
Published: February 2025

Die Förderung von Digitaler Teilhabe für alle Menschen stellt eine zentrale Entwicklungs- und Handlungsaufgabe im Sozial- und Wohlfahrtswesen dar (Sürgit, 2020). Dabei wird die Eingliederungshilfe in der fachlichen Arbeit in mehrfacher Weise mit der digitalen Transformation konfrontiert. Die Lebensbereiche der Klient:innen wandeln sich, und soziale Ungleichheiten werden über das Medienhandeln (re-)produziert (Iske & Kutscher, 2020). Wesentlicher Einflussfaktor und zugleich Gelingensbedingung Digitaler Teilhabe ist die partizipative sowie konzeptionelle Zusammenarbeit mit den Klient:innen, insbesondere Menschen mit geistiger Beeinträchtigung. Nur wenn alle Menschen mit unterschiedlichen Bedarfen und Bedürfnissen von Digitalisierungs- und Mediatisierungsprozessen in der Gesellschaft profitieren, kann eine soziale Transformation in ein digitales und zugleich chancengerechtes Zeitalter gelingen. Hierbei ist der Erwerb von Medienkompetenz und die Realisierung inklusiver Medienbildung essenziell für die Erweiterung von Teilhabemöglichkeiten.In dem Beitrag wird entlang der multidimensionalen Betrachtung von Digitaler Teilhabe aufgezeigt, wie unter Berücksichtigung förderlicher Rahmenbedingungen und Zugangsbarrieren Digitale Teilhabe in der Eingliederungshilfe gelingen kann. Abschließend werden exemplarische Lösungsansätze für die Umsetzung Digitaler Teilhabe auf forschungs- und praxisbezogener sowie sozialpolitischer Ebene vorgestellt.
Textbasierte Möglichkeitsräume
Authors: Göckeritz Jakob
Published: February 2025

Digitalisierung hat in den vergangenen Jahrzehnten die gesellschaftlichen Kommunikations- und Interaktionspraktiken grundlegend verändert. Vor dem Hintergrund umfassender digitaler Transformationsprozesse gewinnen digitalisierte Kontexte von Beratung immer mehr an Bedeutung. In der Regel wird Beratung als spezifische Interaktions- und Kommunikationsform beschrieben, die ratsuchenden Personen Hilfe und Unterstützung anbietet.Mit Online-Beratung hat sich eine Form von Beratung entwickelt, bei der die «Beratungskommunikation und -prozessgestaltung mittels der Infrastruktur des Internets» (Engelhardt, 2022) umgesetzt wird. Beratung kann heutzutage nicht nur als Face-to-Face Beratung in Beratungsstellen vor Ort, sondern auch per E-Mail, Chat, Videotelefonie oder auch Messenger-Dienst stattfinden.Der vorliegende Beitrag wirft einen empirischen Blick auf Mail-Beratung. Dazu wurden Expert:inneninterviews mit Online-Berater:innen aus verschiedenen digitalen Beratungsstellen geführt. Bei Mail-Beratung stehen die Berater:innen vor der besonderen Herausforderung, den Beratungsprozess textgebunden und asynchron realisieren zu müssen. Daraus ergibt sich die Frage, welche Bedeutungslogiken die Beratenden den digitalen Rahmenbedingungen des Beratungsprozesses zuschreiben.In der rekonstruktiven Auswertung der Interviews zeigt sich deutlich, dass digitale Beratungsangebote relevante Möglichkeitsräume für Ratsuchende zur Verfügung stellen. In diesen können sie anonym ihre Lebens- und Problemkontexte formulieren. Besonders für Ratsuchende, die schlechte Erfahrungen mit analogen Hilfestrukturen gemacht haben, sind digitale Beratungsangebote wichtige Anlaufstellen. Daneben konnte für Mail-Beratung die grundlegende Notwendigkeit herausgearbeitet werden, sich schriftlich elaboriert auszudrücken. Ob Beratungsprozesse per E-Mail gelingen, hängt von der Fähigkeit der Ratsuchenden ab, ihre Lebens- und Problemlagen schriftlich zu formulieren.