bluuebunny/crossref_metadata_2025 huggingface dataset:
Stochastic Modeling and Optimization
Authors:   , Dieleman Nanne Adriana
Published: January 2025

Most processes in life are prone to randomness, which can be both a challenge and an aid in mathematical modeling and optimization. In this dissertation, this randomness is studied through various modeling methods and (stochastic) optimization algorithms. It is shown how these can be developed for and applied to diverse problems in the domains of healthcare, manufacturing and search engine optimization. The key modeling methods are Markov chains and discrete-event models, and the key optimization algorithms are stochastic approximation algorithms and evolutionary algorithms. The following is addressed:
• A three-step framework for capacity planning in nursing homes is developed that includes a shift scheduling algorithm and a genetic algorithm that assigns nurses to daily tasks.
• A neural network metamodeler is developed that integrates biased analytical queuing features to estimate the throughput of a tandem line. This metamodeler is applied to a variety of optimization problems, such as the buffer allocation problem.
• An algorithm based on pseudo-gradient methods is developed to optimize a function over the stationary distribution of a Markov chain.
• The emergency response process of electric ambulances is modeled to determine the influence of transitioning from a diesel to an electric fleet on the response times.
Modernizing Academic Institutions using Oracle Cloud
Authors: Natarajan Rajalakshmi Thiruthuraipondi
Published: January 2025

Educational Institutions are fast transforming themselves in the way they operate and serve by shifting
more towards digital medium. With steady increase in applicants and student enrolments every year, colleges and
universities are gearing themselves to provide the best courses possible, while managing the campus to provide safe
and welcoming environment to the students to study and grow. The changing expectations from the students and
the demand for new niche skills has forced the educational institutions to use technology and modern applications
to help them evolve. In addition to the educating the students, the schools also need to manage ensure the proper
functioning of various departments, such as their financials, student and staff management, marketing, and
administrative tasks. These challenges can be taken care by leveraging the academic solutions provided by Oracle
Cloud, in various areas, such as Campus Management, Student Management, etc., which can be an optimal solution
for all the academic needs. With the industry leading cloud solutions and digital tools, it not only provides an out
of the box solution but allows a personalized solution that best suits the academia.
Keywords : Oracle Cloud, Oracle Student Management, Modernizing Educational Institutions, Digitalizing
Academic Institutions, Oracle Digital Assistant, Oracle Cloud Campus Solutions.
A Framework for Resource-Efficient Large Language Model Fine-tuning
Authors:   Senior Technical Marketing Engineer, Arjunan Prabu
Published: January 2025

This paper proposes a systematic framework for the fine-tuning process of Large Language Models. The proposed
method addresses the computational challenges that naturally arise in LLM fine-tuning by incorporating a
comprehensive architecture that effectively integrates intelligent resource management along with adaptive training
strategies. Our framework introduces dynamic resource allocation mechanisms along with efficient data processing
pipelines, thereby making LLM fine-tuning more accessible to organizations with limited computational resources.
The methodology outlined focuses on model quality, optimizes resource use, and has to do with systematic process
management and intelligent scheduling.
The framework aims to showcase how intelligent resource management and adaptive training strategies can make
LLM fine-tuning more accessible to organizations with limited computational resources. The architecture proposed
here represents a structured approach toward the resolution of these challenges while keeping the quality standards
of the model intact.
Keywords: Large Language Models, Fine-tuning, Resource Management, Deep Learning, Neural Networks,
Adaptive Training
Cloud Resource Management and Cost Optimization
Authors:   Independent Researcher, California, USA, Bhole Anju
Published: January 2025

Cloud computing has emerged as a pivotal innovation, facilitating businesses in obtaining scalable,
adaptable, and economical IT resources. Nonetheless, the intricate nature of cloud infrastructure
management may result in unpredictable expenses if resources are not utilized efficiently. As organizations
progressively shift their operations to cloud platforms, there is an increasing demand for effective resource
management and strategies aimed at cost optimization to avert issues such as over-provisioning,
underutilization, and decline in performance. This paper investigates essential strategies for optimizing
cloud resource utilization, including auto-scaling, workload placement, and appropriate resource sizing. It
also emphasizes cost-reduction methods like intelligent pricing models and dynamic resource allocation.
By reviewing contemporary research and established best practices, this study highlights the challenges
that businesses encounter when managing cloud resources and proposes solutions to reduce operational
costs without compromising performance. Through case studies and empirical evaluations, this paper
outlines a framework for proficient cloud resource management that aligns technical capabilities with
organizational objectives. The outcomes aim to furnish organizations with practical insights on enhancing
their cloud performance while minimizing expenses associated with cloud services.
Keywords
Cloud computing, resource management, cost optimization, auto-scaling, cloud services,
Smart Report design using SET Hierarchies and Bex queries in SAP S/4 HANA
Authors:   SAP Technical Architect & Projects Delivery Manager, Accenture LLP, USA, Saif Kumail Saifuddin
Published: January 2025

Statutory Reporting for the National Association of Insurance Commissioners (NAIC) is a mandatory
activity for businesses and they have to produce results every quarter. Insurance clients in particular using SAP for
their Financial Accounting may have to define multiple code blocks for their reporting like Product code for their
policies, Reinsurance Code, Reinsurance Company, Category of product required for Statutory reporting to name a
few. They use these code blocks to produce exhibits for the STAT reporting which has each and every line and
column of the report defined based on the combination of these code blocks. This paper discusses a smart report
design Architecture for SAP reporting which helps easily maintain such exhibit reports.
Key words: SAP S/4 HANA, Embedded Analytics, Statutory (STAT) Reporting, ABAP CDS Views, SET
Hierarchies, HRRP.
A Comprehensive Guide to Secure Build Pipelines with Continuous Scanning
Authors: Bhosale Pradeep
Published: January 2025

As modern software engineering practices embrace faster release cycles and agile development methodologies,
ensuring that security keeps pace has become a critical challenge. Traditional security reviews conducted at the end
of the development lifecycle are no longer adequate. Continuous Integration/Continuous Delivery (CI/CD)
pipelines and “shift-left” principles have given rise to continuous security scanning integrating security checks
directly into the build and deployment processes. This approach not only detects vulnerabilities and
misconfigurations earlier but also reduces remediation costs and prevents security issues from reaching production.
This paper presents a comprehensive guide to designing and operating secure build pipelines with continuous
scanning. We explore the architecture of a typical CI/CD pipeline, identify key security integration points, and
discuss various scanning tools and techniques for code quality, open-source dependency checks, container image
hardening, infrastructure-as-code validation, and runtime security. Through diagrams, best practices, tables, and
real-world case studies, we provide actionable guidance on selecting tools, configuring alerts, enforcing policies,
and building a security-aware engineering culture. We also highlight the importance of compliance, secure artifact
storage, and integration with Security Information and Event Management (SIEM) systems. By adopting a holistic,
automated, and continuously monitored pipeline, organizations can deliver software at speed without compromising
on security or compliance requirements.

Keywords
DevSecOps, CI/CD, Continuous Scanning, Secure Build Pipelines, Software Supply Chain, Shift-Left Security,
Vulnerability Scanning, Compliance, Container Security
Recent Advancements in Anomaly Detection for Manufacturing Systems
Authors: Parmar Tarun
Published: January 2025

Recent advancements in anomaly detection and
root cause analysis have revolutionized manufacturing processes,
enabling improved efficiency, quality control, and cost reduction.
This review explores the latest developments in these fields,
focusing on supervised and unsupervised anomaly detection
methods, statistical techniques for root cause analysis, and
predictive modeling approaches. Supervised anomaly detection
methods, such as classification-based approaches, support vector
machines, and decision trees, leverage labeled data to identify
anomalies. Unsupervised techniques, including clustering-based
methods (e.g., k-means and DBSCAN), density-based approaches
(e.g., local outlier factor), and dimensionality reduction (e.g., PCA
and autoencoders), detect anomalies without prior knowledge of
anomalous instances. Statistical methods for root cause analysis,
such as statistical process control, hypothesis testing, correlation
analysis, and multivariate techniques (e.g., factor analysis), enable
the identification of the underlying causes of manufacturing
issues. Predictive modeling techniques, including time-series
forecasting, machine learning for predictive maintenance, and
optimization methods for process improvement, further enhance
manufacturing efficiency. The integration of these techniques has
led to significant improvements in quality control, equipment
failure prediction, and supply chain optimization. However,
challenges remain in handling complex, high-dimensional data
and integrating domain knowledge with data-driven approaches.
Future research directions include the development of explainable
AI, edge computing, and federated learning for anomaly detection
in manufacturing. This analysis offers a thorough examination of
cutting-edge techniques for detecting anomalies and analyzing
root causes, emphasizing their capacity to transform
manufacturing operations and stimulate future advancements in
these research areas.
Keywords—anomaly detection, manufacturing, supervised and
unsupervised anomaly detection
Steering Innovation: Leadership's Role in Tech Companies
Authors: Peddisetty Namratha
Published: January 2025

It is necessary to have effective leaders in determining the enclosure of new products in technology organizations
because of increased competition. This is why leaders also have the major responsibility of fostering organizational
creativeness and flexibility. They contribute towards innovation by implementing the policies that encourage
teamwork, support taken of risks in new ideas and ensure resources are placed in a way that supports innovation. The
present paper explores the crucial roles of leadership in managing technological development issues, and possibly
nurturing innovations. Some of the issues discussed include the delegation of authority to teams, cross functional
integration and sustaining mechanisms which provide organizations with long term direction. Drawing from
examples of tech leaders, the paper demonstrates how these leaders have influenced change and the need to be
forward-looking.
Keywords
Leadership and Innovation, Adaptive Strategies, Product Innovation Strategies, Innovation in Tech Companies,
Leadership in Technology, Driving Innovation, Innovation Leadership Roles, Creative Leadership in Tech.
Scaling AI Workloads with NVIDIA DGX Cloud and Kubernetes: A Performance Optimization Framework
Authors: Pashikanti Santosh
Published: January 2025

As artificial intelligence (AI) workloads become increasingly complex and resource-intensive, organizations face
challenges in scaling their infrastructure to meet performance demands. NVIDIA DGX Cloud, combined with
Kubernetes, provides a scalable, high-performance computing platform for AI workloads. This white paper outlines
a detailed framework for optimizing performance when deploying AI workloads on NVIDIA DGX Cloud using
Kubernetes. It delves into architectural considerations, workload scheduling, resource management, and performance
tuning strategies. Web references are provided at the end for further exploration.

Key words: NVIDIA DGX Cloud, AI Workload Optimization, TensorRT, Kubernetes GPU Operator, Kubernetes
Cluster Security, AI Model Deployment
AI-Powered Keyword Extraction System Using NLP Techniques for Contextual Insights and Document Accessibility
Authors: Logaiyan P , Ramakrishnan R , Deepa V , Narmatha K
Published: January 2025

This study presents the development of an AI-powered keyword extraction system using
Python, aimed at efficiently identifying significant keywords from unstructured text data. Leveraging
advanced natural language processing (NLP) techniques, the system integrates multiple methodologies,
including Term Frequency-Inverse Document Frequency (TF-IDF), TextRank, Latent Semantic
Analysis (LSA), and Part-of-Speech (POS) tagging. The incorporation of POS tagging enhances the
accuracy of keyword identification by focusing on essential parts of speech, such as nouns and verbs,
thereby filtering out irrelevant terms and ensuring the extraction of contextually meaningful keywords.
To enhance user experience, the system includes innovative features such as a mobile document transfer
facility that allows users to transfer documents via QR code and an option to download the extracted
keywords as a document or PDF. These functionalities are designed to streamline accessibility and
usability for diverse user groups.
Performance evaluation was conducted using a dataset of research articles, demonstrating the system's
effectiveness in accurately reflecting document content through keyword extraction. The results
highlight its potential applications across various domains, including academia, marketing, and data
science. This project offers a robust, intuitive, and user-friendly solution to make complex text data more
accessible and actionable, contributing to the growing demand for efficient keyword extraction tools.

Keywords- ai-powered keyword extraction, natural language processing (nlp), term frequency- inverse
document frequency (tf-idf), textrank algorithm, latent semantic analysis (lsa), part-of- speech (pos)
tagging
LEADING PRODUCT-CENTRIC CHANGE: A STRATEGIC FRAMEWORK FOR DIGITAL TRANSFORMATION SUCCESS
Authors: Puttaraju Karthik Hosavaranchi
Published: January 2025

Despite significant investments in digital transformation initiatives, many organizations struggle to achieve
successful and sustainable change adoption. Traditional change management approaches often fail to create tangible
value propositions that resonate with employees and stakeholders, leading to resistance and suboptimal outcomes. This
paper introduces a novel Product-Centric Change Management (PCCM) framework that addresses this challenge by
leveraging product innovation as the primary catalyst for organizational transformation. The PCCM framework
integrates product strategy, digital capabilities, and transformation success metrics to create compelling value
propositions that accelerate change adoption. It also demonstrates improved transformation success rates by anchoring
change initiatives in product strategy. The paper provides practical implementation guidelines for large organizations
and contributes to both change management theory and practice by offering a fresh perspective on driving sustainable
organizational change.

Keywords—Digital Transformation, Change Management, Product-Centric Change Management (PCCM), Product
Strategy, Organizational Change, Change Adoption, Digital Capabilities, Product Innovation, Transformation Metrics,
Change Leadership, Digital Enterprise, Product Development, Organizational Agility, Change Framework, Strategic
Alignment, Digital Innovation, Transformation Success, Product-Led Change, Enterprise Transformation,
Implementation Strategy
EyeCare Defender Predicting Vision Health from Digital Insights
Authors: P.Yamuna Mrs. , Thalla Akhila , Naga Venkata Praneeth Kolavennupu , Kumar Lingala Vinay , Chaitanya Sangati
Published: January 2025

In an era dominated by digital devices, prolonged
screen time has become a significant factor
influencing vision health. The "Eye Care Defender
Predicting Vision Health from Digital Insights"
project leverages advanced data analytics and
machine learning to predict and mitigate vision
health issues arising from excessive digital device
usage. By collecting and analyzing data on screen
time duration, intensity, and usage patterns from
smartphones, tablets, and computers, this system
aims to identify early signs of eye strain and digital
eye syndrome. The predictive model developed in
this project utilizes comprehensive data inputs to
generate personalized recommendations for users.
Pelatihan Teknis Pembuatan Laporan Keuangan Berbasis SIAPIK Bagi Pelaku UMKM Kuliner Pemula di Kota Jayapura
Authors: Erari Anita , Attamimi Yasir , Kuddy Aprianto La'lang , Ahlia Isma Shalihi , Sitompul Fanny Kristin Tantyah , Setiarini Neni , Mangopo Yuni Riskita
Published: January 2025

The implementation of Technical Training for Making Financial Reports Based on the SIAPIK Financial Information Recording Application System for UMKM Beginner Culinary in Jayapura City, this training to improve the skills and knowledge of culinary business actors in more professional and systematic financial management. This training was attended by 24 participants who are culinary business actors, who are beginners. Through this training, they can have basic knowledge of simple accounting principles and practical use of applications as a form of recording their financial information. This training is carried out through an operational and practical approach and is technology-based, namely with materials in the form of an introduction to the basic functions of the SIAPIK application, as well as direct practice in operating it. The achievements obtained through this training are that participants become aware of making financial records in accordance with accounting standards. Participants also have accounts in the SIAPIK application system. Thus, what has been obtained through this training is a supporting factor for the development of UMKM owned by participants.
Autonomy-Supportive Classroom Climate and Attitudes Towards Social Participation: A Practice in Mixed-Grade Classes in a Japanese Elementary School
Authors: Okada Ryo
Published: January 2025

This study focuses on the relationship between an autonomy-supportive classroom climate and changes in attitudes towards social participation in mixed-grade classes. The research field involved the learning activities conducted in a Japanese elementary school. Learning activities were carried out in mixed-grade classes, and the children engaged in problem solving with their peers from different grades in collaboration with the local community. It was hypothesized that a perceived autonomy-supportive classroom climate would affect attitudes towards social participation and that this effect would be mediated by intrinsic motivation and reflection. Participants were 163 third- and fourth-grade children from mixed-grade classes. Data were collected repeatedly over a three-year period through a questionnaire survey. Latent growth curve modeling analyses revealed that an autonomy-supportive classroom climate was related to intrinsic motivation, which in turn, was related to reflection. Additionally, intrinsic motivation and reflection predicted the initial level of attitudes towards social participation. Intrinsic motivation was negatively related to the extent of change in attitudes towards social participation. These results suggest that an autonomy-supportive classroom climate promotes children’s positive attitudes towards social participation. In mixed-grade classes, teachers must create classrooms in which children can support each other’s autonomy.
Program Development for Enhancing Competencies of Vocational College Teachers in Mechatronics and Robotics under the Office of the Vocational Education Commission
Authors: Thongrasamee Prasit , Sirisuthi Chaiyuth , Agsonsua Pha
Published: January 2025

The purposes of this research were to 1) study the components and indicators of teacher competency in Mechatronics and Robotics, 2) study the current states, desirable states, and the needs for teacher competency development in the Mechatronics and Robotics Department, 3) design and development of teacher competency-enhancing programs in Mechatronics and Robotics, and 4) study the results of implementing the teacher competency-enhancing program in the Mechatronics and Robotics Department. This research was research and development conducted in 4 phases following the research purposes. The results showed that 1) Components and indicators of teacher competency in Mechatronics and Robotics have 5 components and 36 indicators confirmed by experts are appropriate at the highest level. 2) The current state of teacher competency in the Mechatronics and Robotics Department overall is moderate, and desirable condition overall is at the highest level, The competency development methods consist of (1) Self-study (2) Training (3) Workshops (4) Study visits and (5) Practice in the workplace, and the priorities of the needs to develop competencies are (1) Self-development (2) Ethics and professional ethics of teachers (3) Learning measurement and evaluation (4) Curriculum administration, and learning management (5) Building relationships and cooperation with communities for learning management, respectively. 3) Teacher Competency-enhancing Program in the field of Mechatronics and Robotics consists of (1) Principles, (2) Objectives, (3) Models and methods for development, (4) Content and development activities, amounting to 5 modules, and (5) Evaluation. The program evaluation results by qualified experts are appropriateness, utility, and possibility at the highest level. 4) The results of implementing the teacher competency-enhancing program in Mechatronics and Robotics were found as follows: (1) Pre-development knowledge of teachers in Mechatronics and Robotics education showed an average score of 17.30 out of 30 (57.66%), while post-development knowledge increased to an average score of 26.30 out of 30 (87.67%). (2) Overall, teachers’ competencies improved from a moderate level to the highest level after program implementation. (3) The satisfaction evaluation of program participants indicated the highest level of satisfaction in overall and each aspect.
Effects of Mindfulness-Based Therapy and Counseling Group on Emotional Intelligence and Mindfulness of Clinical Psychology Students
Authors: Yurayat Phamornpun , Katsatasri Patcharin , Savatsomboon Gamon
Published: January 2025

This study assessed the impact of mindfulness-based group therapy and counseling on emotional intelligence, mindfulness, stress, happiness, self-compassion, and compassion for others among clinical psychology students. A quasi-experimental design was employed involving fourth-year undergraduate students in a clinical psychology program at a university in northeastern Thailand. Fourteen participants were purposefully selected based on slightly elevated stress levels and received therapy and counseling utilizing mindfulness techniques. Data collected through various assessment tools revealed that immediately after the intervention and three months later, participants demonstrated significantly higher levels of emotional intelligence, mindfulness, happiness, self-compassion, and compassion for others compared to pre-intervention levels. Moreover, stress levels significantly decreased post-intervention and remained lower three months later. These findings suggest that incorporating mindfulness-based therapy and counseling can effectively enhance emotional well-being and mitigate stress among clinical psychology students.
Development of Watershed Characteristics-Based Synthetic Unit Hydrograph
Authors: Majdi Abdul Ghoni , Suhardjono  , Limantara Lily Montarcih , Andawayanti Ussy
Published: January 2025

This paper intends to build a Synthetic Unit Hydrograph based on watershed characteristics, not from rainfall and runoff data. The geomorphology parameter from the synthetic unit hydrograph model is the most useful approach for predicting run-off and the simplest method for understanding the different hydrology behaviors of watersheds, mainly in ungauged watersheds or those with a lack of data. This research was conducted in 10 sub-watersheds in Indonesia that were completed using an automatic water level recorder (AWLR) and an automatic rainfall recorder (ARR). The methodology consists of data collection of watershed characteristic parameter hydrology, feature selection using genetic algorithm (GA), processing the initial data, assessment of SVR model by optimal subset model, hyperparameter tuning using particle swarm optimization (PSO), building Model of Support Vector Regression (SVR), and evaluation model. The results are as follows: 1) formulation of peak discharge: f(X) = 1.1627 X1 + (-0.5060 X2) + (-0.0315 X3) + (-0.1493 X4 + 0.0775 X5 + (-0.0340 X6); 2) formulation of time to peak: f(X) = (-0.8013) X1 + 0.9282 X2 + 0.0162 X3 + 0.5461 X4; and 3)formulation of time base: f(X) = 0.1771 X1 + 0.3323 X2 + 0.1128 X3 + 0.7149 X4; explanation: X1 = watershed area; X2 = river length; X3 = river slope; X4 = river drainage density; X5 = watershed shape; and X6 = run-off coefficient.
Revolutionizing language learning through ChatGPT: An analysis of English language learners
Authors: Zakarneh Bilal , Annamalai Nagaletchimee , Said Nidal Al , Aljabr Fahad
Published: January 2025

This research examines the effects of ChatGPT on English language learners in the United Arab Emirates (UAE). The results showed that the use of ChatGPT positively affects students' perceived improvement, time efficiency, language skills, and curiosity to learn the language. The effect of ChatGPT use on attitudes toward language learning was also positive. It was found that ChatGPT provides accurate and reliable English translation of text, leading to a belief that ChatGPT is useful to students’ English language learning. Also, self-studying with ChatGPT has helped them perform well in class and has become a regular tool for English language learning. Finally, the proposed effect of ChatGPT use on the students' academic performance was positive. The respondents revealed that their English communication skills had significantly improved. ChatGPT boosted their confidence in preparing assignments in English, and their performance in English language modules also improved. Consequently, they can complete and proofread assignments on time using ChatGPT. Therefore, this research showed a strong transformative potential of ChatGPT as an AI-driven instrument in changing language education, ensuring prosperity and promising possibilities for improved educational results and personalized learning experiences among students in higher education.
SIMPLE MICRONEEDLING VERSUS MICRONEEDLING WITH TOPICAL INSULIN IN THE TREATMENT OF POST ACNE ATROPHIC SCARS; A SPLIT FACE COMPARATIVE STUDY
Authors: Mira Ali  , Najia Ahmed  , Seemab Khan  , Afshan kiran
Published: January 2025

Background: Acne vulgaris is a common skin condition, involving upto 90% of the teenage population, being more common in women than in men. Post acne scars are the sequelae, leading to low esteem and self confidence in the affected individuals. Methods: Thirty patients participated in the study. On each patient, over the left side of the face, microneedling was done using topical insulin as a medium, while on the right side of the face, simple microneedling was done. Four such sessions, a month apart, were done in all the patients. They were called for follow up and the response was based on the "Acne scar assessment scale", in which Grade-0 referred to no improvement, Grade-1 referred to an improvement of less than 25%, Grade-2 was an improvement between 25–50%, Grade-3 meant an improvement between 50–75%, and, Grade-4 referred to an improvement of greater than 75%. Results: After completion of the sessions, over the left side of the face, where microneedling was done with insulin 11 (36.7%) patients showed Grade-2 improvement, while 19 (63.3%) patients showed Grade-3 improvement. On the right side of the face where simple microneedling was done, 10 (33.3%) patients showed an improvement of Grade-0, and 20 (66.6%) patients showed an improvement of Grade-1. Conclusion: After this study, we conclude that microneedling combined with topical insulin, shows better results in patients with scarring. It can be a breakthrough in the treatment of post acne scars, due to easier availability and lesser cost of insulin.
Menstrual Patterns and Identifying Health Trends
Authors: Vadatchkoria Rusudan , Ramesh Devasi Rupal
Published: January 2025

Menstrual cycle is natural and one of the most important processes of female life, which gives us insight about significant hormonal and behavioral changes in female organism. In this regard, in order to have a better understanding of the different, and very specific factors, associated with menstrual health status, we conducted a survey study of some aspects of menstrual period. The survey was based on several targeted groups of the age between 8 and 49 years old, Indian and Georgian women. Various assumptions were made on behalf of the survey regarding the menstrual health and factors affecting or reliving the menstrual cycle related problems. Besides, the survey was a precious confirmation of the assumption of females conceive, that menstrual cycle affects their everyday lifestyle, the survey research method undoubtedly has some priorities to facilitate the understanding of real circumstances and to provide a basis for planning subsequent studies, which will certainly be expanded and deepened in the near future. In addition, factors that may be associated with the state of menstrual health, as well as the level of awareness of the female population about the characteristics of the menstrual cycle are shown. The final achievement of this study is a broader knowledge of the characteristics of the female body during these rather difficult days in the life of every woman, in order to properly manage this period, better adapt to everyday life and maintain normal ongoing activities.
Treatment of Proximal Hamstring Tendinopathy in a Runner Using Ultrasound-Guided Needle Tenotomy: A Case Report
Authors: Povanda Bernard , Rodio Nicholas , Prall Joshua
Published: January 2025

Background
To date, there has not been a case report utilizing ultrasound-guided needle tenotomy (NT) for proximal hamstring tendinopathy (PHT). This case report’s purpose was to describe the effects of ultrasound-guided NT with eccentric training and PRP injections for the treatment of PHT of a runner.
Case Presentation
The patient was a 58-year-old female presenting with a partial tear of the right proximal hamstring tendon diagnosed by diagnostic ultrasound. After limited improvement from initial PRP injections with an orthopedic surgeon in November of 2013, the patient was then re-evaluated and recommended ultrasound-guided NT plus PRP injections to the left proximal hamstring tendon in conjunction with specific stabilization exercises targeting the hip and lumbopelvic regions in April 2017.
Outcomes
The patient noted improvements in pain levels, patient specific functional scale (PSFS), and lower extremity functional scale (LEFS). The patient also improved in jogging and running performance, and improvement in strength after the introduction of ultrasound-guided NT to her plan of care.
Discussion
Proximal hamstring tendinopathy can be challenging to treat. In this patient’s case, the use of ultrasound-guided NT in conjunction with PRP injections and eccentric loading provided pain reduction and improvement of functional independence. Further research is needed to determine the effectiveness of ultrasound-guided NT in combination with other interventions to determine their effectiveness for PHT.
Peningkatan Kemampuan Berpikir Kritis Siswa Melalui Model Problem Based Learning Pada Pembelajaran IPAS Kelas V SD Berbantuan Media Augmented Reality
Authors: Uliyanti Ilana Anggita , Ardianti Sekar Dwi , Fakhriyah Fina
Published: January 2025

This research aims to describe the application of the Problem Based Learning model using Augmented Reality media to improve critical thinking skills, student activities and teachers' teaching skills in science learning. This classroom action research was carried out in 2 cycles in class V of SD 1 Kaliwungu Kudus with research subjects totaling 26 students. Data collection techniques use observation, interviews, documentation, tests. Data analysis techniques are descriptive qualitative and descriptive quantitative. The results of this research were that teachers' teaching skills improved in cycle I, obtaining a score of 54.16 with sufficient qualifications and increased in cycle II with a score of 81.94 with good qualifications. Student activity increased in the first cycle, the attitude aspect was obtained with a score of 55.39, sufficient qualifications and in the second cycle, the score was 78.48 with good qualifications. Student activities in the skills aspect of cycle I obtained a score of 57.70, sufficient qualifications, then increased in cycle II by obtaining a score of 77.49, good qualifications. The results of the students' critical thinking ability test in cycle I obtained classical completeness of 46% and increased in cycle II with classical completeness reaching 80%. It can be concluded that the application of the Problem Based Learning learning model in science and science learning assisted by Augmented Reality media can improve teacher teaching skills, student learning activities, and critical thinking abilities of class V students at SD 1 Kaliwungu Kudus.
Analisis Keaktifan Peserta Didik dalam Penerapan Pembelajaran Matematika Pada Kelas 2 SD dengan Pendekatan TARL
Authors: Rahmawati Ridha , Sulianto Joko , Nursyarifah Nining , Prayito Muhammad
Published: January 2025

This research aims to determine learning using the TaRL approach on students' activeness in learning mathematics in class II elementary school. This research was conducted in class II B at SD Negeri Palebon 02. This research is a type of qualitative research. Data obtained in this research was obtained by observing the class or observing during the learning process. The type of research data is qualitative data based on learning with the TaRL approach in mathematics subjects regarding fractions. The data sources in this research were class II B students. The data collection techniques used were interviews, observation and documentation. The results of this research showed that students' activeness in learning with the TaRL approach to mathematics learning obtained a good percentage of 84.6%. Learning with the TaRL approach uses steps to group students according to their level of ability, group discussions and presentations in groups that are actively involved and enthusiastic in participating in learning.
PLANEJAMENTO EM ENFERMAGEM NA PANDEMIA DA COVID-19: ESTRATÉGIAS PARA A GESTÃO E EFICIÊNCIA NA ASSISTÊNCIA
Authors: Silva Juliane Santos de Alencar
Published: January 2025

O planejamento de enfermagem durante a pandemia da COVID-19 foi essencial para garantir eficiência na assistência e segurança no cuidado em um cenário de crise sanitária global. A pesquisa justifica-se pela necessidade de compreender o papel estratégico da enfermagem na gestão de recursos e organização de fluxos assistenciais frente à sobrecarga dos sistemas de saúde. O problema que motivou o estudo foi a ausência de diretrizes claras e estruturadas para enfrentar emergências sanitárias, evidenciando a importância de estratégias eficazes no campo da enfermagem. O objetivo principal foi identificar e analisar práticas que contribuíram para a eficiência na assistência para a segurança dos profissionais e pacientes durante a pandemia. Para isso, foi realizada uma revisão bibliográfica baseada em estudos publicados sobre o tema, configurando um estudo qualitativo descritivo.  Os resultados destacaram a implementação de protocolos baseados em evidências, otimização do uso de recursos como EPIs, reorganização de escalas de trabalho, capacitação contínua das equipes e uso de tecnologias como teleconsulta. Concluiu-se que o planejamento em enfermagem foi determinante para mitigar os impactos da crise, oferecendo contribuições valiosas para futuros cenários de emergência, como a integração intersetorial, o empoderamento comunitário e o fortalecimento do Processo de Enfermagem.
Chief executive officer political connection and firm performance: Evidence from Nigerian listed deposit money banks
Authors: Inneh Eghosa Godwin , Ayoola Tajudeen John , Obokoh Lawrence Ogechukwu
Published: January 2025

Purpose: Extant studies have investigated the determinants of firm performance; however, limited studies have focused on CEOs' political connections, especially in Nigeria, despite the postulation that the invisible hand of politics controls the economic sector. Our study fills the gap in the literature by examining the effect of the CEO's political connection on the financial performance of the Nigerian Deposit Money Banks.
Design/ Approach/Methodology: The scope of this study is limited to the listed Nigerian Deposit Money Banks (DMBs) within the period 2011-2023. We employed a longitudinal research design by collecting 156 firm-year observations resulting from 12 listed DMBs and estimated using the ordinary least square method.
Findings: Our study shows that CEO political connection is positive and significantly related to firm performance, supporting the assertion that CEO political connection improves the firm's financial performance, which aligns with the resource dependence theory.
Conclusion: the study concluded banks CEO with political connection have a higher performance.  
Research Limitations/Implications: The study is limited to the Deposit Money Banks (DMBs); hence, we recommend that future studies focus on other sectors of the Nigerian economy. Our study contributed to limited empirical evidence on political connection and firm performance and shows that the CEO's political connection revolves around resource dependence and networking theories.
Effect of bicarbonate buffer on artificial membrane permeation of drugs
Authors: Ishida Shiori , Lee Sam , Sinko Balint , Box Karl , Sugano Kiyohiko
Published: January 2025

Background and purpose: The pH value of the small intestine is physiologically maintained by bicarbonate buffer (BCB). However, the effect of BCB on the membrane permeation of drugs has not been investigated. The purpose of this study was to investigate the effect of BCB on the passive membrane permeation of drugs. Experimental approach: The μFlux apparatus (pION Inc.) was used for permeability measurements. To avoid a pH change of BCB, a floating lid was newly developed for μFlux. The membrane filter was coated with a 10 % soybean lecithin-decane solution. The flux measurement was performed in an iso-pH condition (pH 6.5, BCB = 10 mM, buffer capacity ()= 4.4 mM pH-1). Phosphate buffer (PPB) with the same pH and β was used for comparison (PPB = 8 mM). Key results: The floating lid suppressed the pH increase to less than 0.1 for 120 min. The effective permeability (Pe) values of lipophilic weakly acidic and basic drugs were lower in BCB than in PPB (ketoprofen, naproxen, and propranolol). On the other hand, the Pe values in BCB and PPB were similar for unionizable drugs (caffeine and antipyrine) and hydrophilic weakly basic drugs (metoprolol and procainamide). Conclusion: Passive membrane permeation of lipophilic weakly acidic and basic drugs was slower in BCB than in PPB. This was suggested to be attributed to the slow neutralization rate of BCB, which affects the pH value adjacent to the membrane surface.
Język na pograniczu . Replikacje z języka niemieckiego w języku polskim jedno-, dwu- i trójjęzycznych osób na Mazurach
Authors: Jorroch Anna
Published: January 2025

Artykuł ma na celu przedstawienie sytuacji językowej na Mazurach w oparciu o poszczególne wywiady z wybranymi mieszkańcami regionu, na który silny wpływ wywarł kontakt kulturowo-językowy zarówno ze strony polskojęzycznych, jak i niemieckojęzycznych osiedleńców. Prezentowany materiał został opracowany w oparciu o teorię lingwistyki kontaktu z uwzględnieniem uwarunkowań socjolingwistycznych badanego regionu. W artykule zostaną omówione wybrane zjawiska kontaktu językowego w mowie dwujęzycznych i trójjęzycznych mieszkańców Mazur, new speakerów języka niemieckiego oraz osób jednojęzycznych niemówiących w tym języku. Materiał został zebrany w trakcie badań terenowych przeprowadzonych w latach 2006-2014, poświęconych językowi niemieckiemu trójjęzycznych staroobrzędowców na Mazurach, oraz w ramach projektu LangGener, który był realizowany w 2018 roku i dotyczył zmian morfosyntaktycznych powstałych w wyniku polsko-niemieckiego kontaktu językowego.The article aims to present the linguistic situation in the Mazury Lake District, Poland, a region that was strongly influenced by cultural and linguistic contact between Polish-speaking and German-speaking settlers. The study is based on interviews with local speakers. The analysis of language data is grounded in the theory of contact linguistics and takes into account the sociolinguistic specificity of the region. The article discusses contact-induced phenomena in the speech of bilingual and trilingual inhabitants of the Mazury Lake District, new speakers of German as well as Polish monolingual speakers. The data were collected between 2006 and 2014 during field research on the German language spoken by trilingual Old Believers in the Mazury Lake District, and as part of the 2018 LangGener project on morphosyntactic changes induced by Polish-German language contact.
PATHOMORPHOLOGY OF CHONDROMATOUS HAMARTOMA DEVELOPED IN LUNG TISSUE
Authors: Rakhmanova Nargizaxon
Published: January 2025

The aim of the scientific work. Hamartoma is the most common benign tumor of various organs and is considered a benign tumor arising from non-epithelial mesenchymal tissue, the exact cause of which is still not fully understood. Hamartoma consists of cells developing in any tissue and characteristic of this organ. Endobronchial hamartomas occurring in the lung tissue make up 12-20%. It is characterized by a chondromatous and vascular structure in composition and a nodular appearance during microscopic examination. In this study, it was found that hamartoma of the respiratory tract was morphologically manifested in cases of bleeding by the vascular type. Materials and methods. Autopsies, ileum and oral mucosa materials of various forms of myeloblastic leukemia and sepsis were delivered and organized to the center of pathological anatomy of the republic. Of these, 43 male and 26 female materials were received. The prepared pieces are studied morphologically. Results.  When analyzing the results of the morphological study,   it was noted that the hamartoma, which grew from the large bronchi, was located in the endobronchial tissue structures of the bronchi. It was found that chondromatous changes in the chondromatous tissue of the hamartoma occur in the nodes and bronchial wall of the chondroma and have an atypical structure. It was noted that the cytoplasm of chondrocytes is strongly vacuolated. Among the pieces of chondromatous tissue, the appearance of tubercles and cystic structures among bundles consisting of soft tissues of the bronchial wall was detected.  Summary. It was found that 13.4% of chondromatous hamartomas of the respiratory system are located in the wall of large bronchi, 56.2% in the front segments of the lungs, and the rest in the back segments of the lungs (30.2%).  It was found that the hamartoma developed in the wall of the large bronchi consists of multifocal and irregularly located chondromatous tissue nodules, and around them, the soft tissues of the bronchial wall and the mucous membrane have grown in a dysregenerative manner. It was observed that in the hamartoma developed from the bronchi within the lung tissue, chondromatous foci appeared both in the wall of the bronchi and in the alveolar tissue.
El ejercicio físico y sus beneficios psicológicos en adolescentes: Revisión sistemática
Authors: Menéndez Reyna Nexar Emilio
Published: January 2025

La actividad física ofrece una amplia gama de beneficios psicológicos que impactan significativa y positivamente en la vida de los jóvenes, abarcando múltiples dimensiones. La presente investigación tuvo como objetivo sistematizar la evidencia teórica y metodología que respalda los beneficios psicológicos asociados con la actividad física en los adolescentes mediante una revisión sistemática, que sigue las directrices del protocolo PRISMA. Este análisis se centró en artículos científicos, artículos de revisión y tesis , tanto a nivel nacional como internacional, publicados entre 2018 y 2024. Como resultado estos estudios han manifestado su impacto significativo en aspectos como la autoestima, el control emocional y la prevención de trastornos mentales comunes (estrés, ansiedad, depresión). Por lo cual, se pudo concluir que el ejercicio físico es fundamental para el desarrollo físico y psicológico en los adolescentes, fortaleciendo aspectos neurobiológicos y potenciando la resiliencia emocional. Estas investigaciones recomiendan realizar actividades físicas de 4 a 5 horas semanales para obtener beneficios psicológicos, abarcando su importancia en promocionar la salud mental en los jóvenes.
El tiempo libre y el ejercicio aeróbicos en adultos jóvenes
Authors: Morocho Abarca Carlos Daniel
Published: January 2025

El sedentarismo en adultos jóvenes, influenciado por factores socioculturales y tecnológicos, resalta la importancia del ejercicio aeróbico para mejorar la salud física y mental durante el tiempo libre, promoviendo hábitos saludables. El objetivo de esta investigación fue conocer los beneficios asociados a la práctica de ejercicio aeróbico durante el tiempo libre en adultos jóvenes, identificando patrones comunes, factores de riesgo y estrategias efectivas de prevención. Se realizó una revisión sistemática basada en el protocolo PRISMA, analizando 10 estudios seleccionados tras filtrar 2.500 artículos en bases de datos académicas como Google Académico, Scielo y PubMed. Los hallazgos destacan que el tiempo libre bien estructurado impulsa el ejercicio aeróbico, mejorando la salud física, mental y social. Sin embargo, factores socioculturales y barreras como la falta de motivación y acceso limitan su práctica. Se subraya la importancia de programas inclusivos, interdisciplinarios y adaptados a las necesidades individuales de los jóvenes adultos. Se concluye que la planificación y calidad del tiempo libre son clave para integrar el ejercicio aeróbico en estilos de vida sostenibles. Las estrategias deben ser accesibles, significativas y equitativas, superando barreras estructurales para fomentar la participación y promover hábitos saludables en poblaciones diversas.