bluuebunny/crossref_metadata_2025 huggingface dataset:
Short-term Passenger Flow Prediction of Urban Rail Transit based on ARIMA Model
Authors: Sun Rui
Published: November 2024

The urban economy is growing quickly, the city is getting bigger and the problem of traffic congestion is getting worse. As the primary means of transferring passengers, urban rail transit is an essential component of it. Therefore, developing urban rail transit is an important way to alleviate traffic congestion in large and medium-sized cities in the country. However, as rail transit grows, the number of lines grows daily and the volume of passengers increases quickly, putting strain on the urban transportation system to handle the increased volume of passengers. Consequently, it is now necessary to find a solution to the problem of how to quickly estimate future passenger flow based on past rail transit data, assist the operation management department in carrying out preventive work ahead of time and enable it to accomplish safe and orderly operation. Based on the Beijing Line 10 passenger flow, this study forecasts the passenger flow for the next few days by using the ARIMA model to uncover the travel rules hidden in the huge amount of concealed data. The forecast findings aid in the logical optimization of rail transportation, hence raising the level of service quality.
Research on the route of electric patrol car based on spiral motion model
Authors: Cao Ziyue , Wu Xue , Lv Chenkun , Zhou Zhenyue , Yang Xinyue
Published: November 2024

The rapid growth of photovoltaic (PV) energy has made heliostat fields essential in industrial aspects. They served as key devices for collecting and focusing solar power. How to ensure the inspecting equipment of the heliostat works efficiently in their worksite, however, has become a challenging task since the enlargement of size and complexity of our heliostat. In this study, a path-planning method based on equidistant solenoids was delivered, enabling the kart to inspect more efficiently and reducing the risk of impact. This paper improves inspection efficiency by planning the shortest route and reducing turning times, by constructing the Archimedean Spiral Motion Model and optimizing it using a binary method.According to our research, the kart we applied to this method can run smoothly, in other words, at constant speed. This paper has cut 30% of inspection time and reduced the impact risk with the heliostat. Our algorithm has effectively alerted over 90% of the underlying impact situation, which massively increased the safety and stability of the system. The research has supported a reliable technical basis in intelligent inspection in the PV energy field.
EVALUATING NEONATAL OUTCOMES IN PREGNANCIES COMPLICATED BY MATERNAL TYPE 2 DIABETES
Authors: ARA F , QURESHI QUA , MANSOOR M , SHOAIB M , BIBI S , JAVED SQ
Published: November 2024

Maternal type 2 diabetes during pregnancy presents complex challenges that necessitate careful management due to its multifaceted impacts on both the mother and the neonate. Objective: The basic aim of the study is to find the neonatal outcomes in pregnancies complicated by maternal type II diabetes. Methods: This retrospective observational study was conducted at Sandeman Provincial Hospital from April 2022 to March 2023. Data were collected from 80 participants. Data were collected retrospectively from medical records, focusing on maternal, fetal, and neonatal parameters. Maternal records included demographic details such as age, body mass index (BMI), and parity, as well as clinical information on glycemic control measured by HbA1c levels recorded at various points throughout the pregnancy. Results: Data were collected from 80 patients with type 2 diabetes, with an average maternal age of 32.35 years and an average BMI of 28.5 kg/m². Primiparous women constituted 40% of the sample. The average HbA1c level was 7.5%, with 56.25% of participants achieving good glycemic control (HbA1c ≤ 7%) and 43.75% classified as having poor glycemic control (HbA1c > 7%). The results indicate that the average neonatal birth weight was 3,400 ± 500 grams. Macrosomia was observed in 31.25% of cases, with a significantly higher occurrence in the poor glycemic control group (51.4%) compared to the good glycemic control group (15.6%). Conclusion: It is concluded that poor glycemic control in pregnancies complicated by maternal type 2 diabetes is significantly associated with adverse neonatal outcomes, including macrosomia, neonatal hypoglycemia, congenital anomalies, and higher NICU admission rates.
FREQUENCY OF FACTORS LEADING TO THE DEVELOPMENT OF CLEFT LIP AND PALATE AT TERTIARY CARE HOSPITAL KARACHI
Authors: REHMAN MU , KAKAR A , REHM AU , REHMAN MU , ULLAH N , KHAN M , KAKAR SU
Published: November 2024

Cleft lip and palate are common congenital anomalies influenced by genetic and environmental factors. In Pakistan, these conditions pose significant challenges due to socio-economic and healthcare disparities. Objective: This study aimed to assess the frequency of factors contributing to cleft lip and palate among patients at a tertiary care hospital in Karachi. Methods: A cross-sectional study was conducted at the Plastic Surgery Department of Patel Hospital, Karachi, with a sample size of 127 patients determined using the WHO Sample Size Calculator. Data were collected using a structured questionnaire, including demographic information, maternal health behaviors, and clinical characteristics. Statistical analysis was performed using SPSS, with p-values <0.05 considered significant. Results: Maternal smoking during pregnancy was reported in 30% of cases, while inadequate folic acid intake was identified in 45% of participants. Consanguinity was observed in 50% of the sample. These factors were significantly associated with the occurrence of cleft anomalies. The findings align with global studies emphasizing the role of maternal smoking, nutritional deficiencies, and genetic predisposition in cleft etiology. Conclusion: This study identifies modifiable and non-modifiable risk factors contributing to cleft lip and palate in Pakistan. Public health interventions targeting maternal smoking cessation, folic acid supplementation, and awareness about the genetic risks of consanguinity are crucial for prevention. Future research should investigate genetic-environmental interactions to develop tailored strategies for at-risk populations.
Implementasi Manajemen Mutu Pendidikan di Sekolah Islam
Authors: Febrina Mira , Sesmiarni Zulfani
Published: November 2024

Quality management in education is crucial to improving the quality of Islamic education, especially in private Islamic schools. This study identifies the implementation, challenges, and solutions for quality management in education at Al Azhar Islamic School in Bukittinggi. The research method used is a case study with a qualitative approach. Data collection techniques include interviews, observation, and analysis of relevant documents. Data analysis is processed through reduction, presentation, and verification to draw conclusions, with data validation using triangulation. The results of the study show that there are several stages or phases in the implementation of quality management in Islamic education at Al Azhar Islamic School. The first phase is the preparation phase of quality management, which includes forming a quality management team, stating the vision and principles as guidelines, and conducting a strengths and weaknesses analysis. The second phase is the planning phase of quality management, which includes planning the implementation of quality management in education and forming a management implementation team. The third phase is the implementation phase of quality management, which includes teaching processes, learning evaluation, resource management, and program monitoring and evaluation.
Peran Kepemimpinan Perempuan dalam Pengembangan Manajemen Pendidikan Islam
Authors: Latifah Hilmiyatul , Asy’ari Hasyim
Published: November 2024

The aim of this research is to analyze and describe the role of female leadership in the development of Islamic education management. The research methodology is qualitative with a library study approach. Data collection was carried out by searching for and gathering articles from field research or literature that have been published in journals using Google Scholar. Data processing involved condensing the article results according to the topic, which was then presented in the form of narrative and tables, followed by drawing conclusions to obtain the latest insights from the articles. The results of the research show that female leadership in Islamic education has a significant impact on improving the quality of madrasahs. Female school principals apply discipline, professionalism, and good communication to improve teacher performance and the quality of education, despite challenges such as limited budgets. Leadership based on collaboration and empathy has proven effective in enhancing student achievement and human resource quality. Democratic, charismatic, and servant leadership styles contribute to the development of the organization and school culture. Despite facing gender stereotypes, female leadership is recognized as competent and nurturing, helping to change negative perceptions and strengthen the empowerment of women in the Islamic perspective.
Floristic composition in silvipastoral systems of Himachal Pradesh, North Western Himalayas
Authors: Lata Swaran , Paul Shiv , Chauhan Vivek , Varsha
Published: November 2024

Silvipastoral land use systems are one of the most socially accepted agroforestry system types of Himachal Pradesh, which contributes significantly in fulfilling daily livelihood needs, conservation of soil and water, improving soil fertility and in climate change mitigation. Therefore, the present study was conducted in silvipastoral systems existing in different agroclimatic zones of Himachal Pradesh to assess the floristic composition and to suggest suitable management options. Agroclimatic zone I and II were found richer in plant diversity with the presence of 278 species each representing 38 trees, 54 shrubs and 186 herbs and 40 trees, 55 shrubs, 183 herbs respectively. Whereas agroclimatic zone III, showed representation of 257 species 19 trees, 41 shrubs, 197 herbs, and in zone IV, representing with 233 species, 17 trees, 20 shrubs, 196 herbs were found. Among these, 54 species were categorized under threaten status based on IUCN’. Therefore, assessment of natural populations, demand and supply studies, harvesting trends, developments of propagation methods, plantation of highly preferred species and community awareness for sustainable utilization and conservation has been suggested.
Nutritional Analysis of Wheat Flour at Hyderabad for Detection of Essential and Toxic Metals
Authors: Mehmood Sharmeen , Shah Afsheen , Memon Mahak , Hakro Shaheena
Published: November 2024

Wheat flour is basic diet in Asian countries. Quality of wheat flour and milling process has been changing day by day which have profound impact on nutrition value of wheat flour. Objective: To carry out Nutritional assessment of whole and refined wheat flour grinded locally at 13 mills of Hyderabad to determine presence of essential and toxic metals. Methods: Whole and refined wheat flour were randomly collected from 13 flour mills of Hyderabad for determination of moisture, ash, fat, fiber, carbohydrates, proteins, essential (Fe, Zn and Mn) and Toxic (Cd, Cr, Pb and Cu) metals with standard scientific methods. Results: High moisture has been recorded in F.M.13 mill in whole and refined flour as 12.5% and 11.8% respectively where as low moisture 7.1% has been found in whole flour in F.M.10 mill and 7.4% in refined flour in F.M.01 mill. F.M.04 contains high Iron in whole and refined wheat flour as 0.91±1.1 and 0.74±0.5mg/kg respectively. Zinc content has been high in F.M.10 and F.M.11 as 9.95±5.6mg/kg and 8.66±5.1mg/kg respectively. Cadmium has been high in F.M.09 as 0.06±0.01mg/kg in refined flour whereas Lead has been high in F.M.09 as 0.28±0.13mg/kg in whole wheat flour. Conclusions: Carbohydrates have been high whereas fiber and protein has been low in refined flour. Fe, Zn and Mn has been significantly low whereas Cd, Pb, Cr and Cu has been significantly high in refined wheat flour. It is concluded that consumption of whole wheat flour is better than refined wheat flour.
Exploring the Impact of Corruption and Governance on Poverty in Developing Countries: A Comparative Analysis of Pakistan, India, and Bangladesh
Authors: Rasikh Sami , Siddiqui Aisha
Published: November 2024

The article examines the effect of corruption and governance on poverty, especially in Pakistan, India, and Bangladesh. The paper brings to the foreground the roles that the World Bank and the United Nations have played in fashioning development policies in these countries. Nevertheless, those interventions demonstrate a very strong dependency on the existing local governance systems and the levels of corruption that hamper poverty reduction strategies. In terms of its methodology, the research utilises a qualitative secondary data analysis method whereby data collected from different journals, reports, and institutional documents are analysed. Thus, it allows for comparative analysis of the quality of governance as well as the impact of the latter on poverty in the three countries. The analysis shows that due to relatively stable governance in India, the poverty rate has decreased; however, Pakistan and Bangladesh may face higher negative changes due to the corruption and bad policy implementation. These vices in the so-called ‘‘third world’’ nations have soaked up funding that would have otherwise been used to develop the nation, compromised the needs of the needy, and slowed down poverty eradication. On this note, the study concludes that international interventions regarding governance should be sensitive to the local governance factors and corruption indices. A top-down approach is inefficient, and a bottom-up approach is necessary to fit each country’s needs to fight poverty and assist in sustainable development.
Effects of Sport Participation on the Lifestyle of Secondary School Adolescents in Uyo Metropolis
Authors: Udeme Bassey , Ochor Daniel Chinonso
Published: November 2024

This study investigates the effects of sports participation on the lifestyle of secondary school adolescents in Uyo Metropolis. Guided by three research questions, the study focuses on the impact of sports participation on the physical health, social behaviors, peer relationships, academic performance, and discipline of adolescents. The target population comprises all secondary school students in Uyo Metropolis, with a sample size of 200 respondents selected through a stratified random sampling technique. A structured questionnaire was used as the primary data collection instrument, and data were analyzed using descriptive statistics (mean, standard deviation, and percentages).Findings reveal a significant positive effect of sports participation on the physical health of adolescents, as it enhances physical fitness and reduces the risk of obesity. Additionally, sports participation improves social behaviors, peer relationships, teamwork, and leadership skills while positively influencing academic discipline and performance. However, barriers such as lack of facilities, gender disparities, and societal attitudes were identified as hindrances to effective sports participation. The study concludes that sports participation is vital for holistic adolescent development, recommending schools and policymakers create an enabling environment that encourages more students to engage in sports. Further research is suggested to explore the long-term impact of specific sports and address gender-specific participation barriers.
Assessment of the First Aid Knowledge of Students at the Mosul Technical Medical Institute
Authors: Shaker Ehab Mohammed
Published: November 2024

Objective: To assess the level knowledge of medical institute students about first aid.
Methodology: A random sample was used to select (191) participants. The sample
consisted of (67) Students from the first stage of the department, in addition to (124)
students from the Mosul Medical Institute. The second stage. Samples were taken from the
morning and evening studies, amounting to 153 students in the morning study, while the
participation rate was 38 for the evening study. The study began in the period from October
7, 2023, to March. 2024. The internal consistency of the questionnaire was evaluated by
calculating the correlation coefficient which (r = 0.80), and statistical analysis was
organized by (SPSS, version25).
Result: The current study found that many students in the study (90.1%) did not participate
also in first aid programs and courses (97%) found it necessary to turn to first aid activity.
We note that the students of the Mosul Medical Technical Institute have information about
first aid, at a rate of 52.9%, and they also have knowledge and information on how to deal
with head injuries, at a rate of 46.1%, but the students’ information in cases of spinal injury
was weak, at a rate of 38.7%, and they had excellent information on how to deal with a
person with a head injury at a rate of 72.3%, and their information on dealing with cases
of severe bleeding was also good at a rate of 56.5%, and they showed very good knowledge
on how to apply pressure to the wound to reduce bleeding. By 75.4%, and 51.3% of the
students agreed that force must be used to stop the bleeding.
Recommendations: Increase the special courses of First Aid for students of the Medical
Institute by preparing lectures from the nursing department, and further studies can be
conducted to assess the knowledge, trends and practices of first aid assistance among
students at the Medical Institute.
Cyberwarfare and Arms Control: Analyzing the SolarWinds Hack of 2020
Authors: Bala Iranyang , Ebere Shalom Anthony , Egahi Junior Oyinu , Filibus Yaweh
Published: November 2024

This research examines the implications of cyber warfare on international arms control, particularly in light of the SolarWinds hack, a pivotal event explaining the vulnerabilities in our increasingly digital world. Dependency on cyberspace has rendered states susceptible to emerging threats, while existing arms control treaties, relics of the Cold War, have failed to adapt to contemporary realities. Employing an ex post facto research design, this study utilizes secondary data analyzed through content analysis, grounded in Realism theory as the analytical framework. The findings reveal the multifaceted challenges posed by cyber warfare, including issues of attribution, pervasive mistrust among nation-states, economic repercussions, attacks on critical infrastructure, and intensified international rivalries. The SolarWinds hack serves as a case study that underscores the urgent need for modernizing arms control regimes to address these new dynamics. The study concludes that without proactive adaptations in international security frameworks, the risks associated with cyber warfare will continue to escalate, jeopardizing global stability and undermining cooperative efforts to ensure a secure future. This research calls for a re-evaluation of arms control in the context of cyber threats, emphasizing the necessity for innovative strategies to enhance resilience and promote trust among states.
Cybersecurity Platforms: Tackling Challenges in a Digital Age
Authors:   Independent researcher, Morgantown WV USA., Sharma Monu
Published: November 2024

We will examine the dynamic cybersecurity landscape and offer practical strategies to assist businesses
in managing the challenges of cybersecurity during this era of digital transformation.
New technologies offer significant advantages for businesses and consumers, yet they also introduce new risks and
challenges for cybersecurity. We examine how organizations can assess the impact of emerging technologies on
their cybersecurity posture and strategy. By exploring key aspects such as risk evaluation, integration challenges,
and potential vulnerabilities, we provide a framework for understanding how to adapt cybersecurity measures in
response to technological advancements.
With a focus on proactive assessment and strategic planning, this discussion aims to equip businesses with the
insights necessary to enhance their security frameworks while leveraging the benefits of new technologies.
This article will look at the changing cybersecurity landscape and offer practical strategies to help businesses
manage the complexities of cybersecurity in the digital age
Keywords: Cybersecurity, Cloud, Servers, Firewalls, LAN, WAN, IOT, Security, Cyber Threats.
Efficient Named Entity Recognition with Overlapping and Nested Mentions Using Hypergraphs and Neural Network
Authors:   Global Supply Chain Kulicke and Soffa Horsham, USA, Ekatpure Shubham Rajendra
Published: November 2024

Abstract—Named Entity Recognition (NER)
remains a pivotal task in Natural Language
Processing (NLP), crucial for information
extraction and document classification applications.
Traditional models like linear-chain Conditional
Random Fields (CRFs) struggle to handle
overlapping and nested mentions, which frequently
occur in specialized domainssuch as biomedical and
legal texts. This study addresses these limitations by
proposing an advanced model that integrates
mention hypergraphs, mention separators, and
neural networks to efficiently recognize complex
entity structures while maintaining linear time
complexity. The model's performance is tested
across multiple datasets, including ACE2004,
ACE2005, and GENIA, demonstrating significant
improvements in F1 scores and scalability
compared to baseline models. The proposed
approach also introduces a dynamic feature
composition mechanism that enhances the
recognition of rare and unseen words, making it
adaptable to diverse text genres, including noisy
and informal data. The results suggest that the
model excels in traditional NER tasks and extends

its applicability to low-resource settings and real-
world datasets. Future work could further optimize

computational efficiency and explore domain-
specific adaptations to refine performance in

specialized fields.
Keywords—Named Entity Recognition (NER),
Overlapping Mentions, Nested Mentions,
Hypergraph Models, Neural Networks, Mention
Separators, Entity Recognition Scalability, Sequence
Labeling, Biomedical Text Processing, Semantic
Hierarchies.
Minimizing Medication Errors in High-Risk Medications: Effective Strategies for Busy Pharmacy Environments
Authors:   Pharmacy Manager Weatherwax Family Pharmacies Inc Spring Arbor, Michigan, U.S.A., Andy Adinarayana , Andy Divya ,   Independent Research Consultant, Michigan, U.S.A.
Published: November 2024

Medication errors, particularly in high-risk medications such as anticoagulants, insulin, and chemotherapy agents,
pose a significant threat to patient safety in busy pharmacy environments. These errors often arise from
miscommunication, complex dosing requirements, environmental distractions, and inadequate staff training. This
article investigates effective strategies to minimize medication errors by standardizing processes, implementing
technological solutions, enhancing communication, and providing continuous staff training. Standardizing protocols,
such as checklists and patient education guides, reduces variability and increases reliability in handling high-risk
medications. Technology, including Computerized Physician Order Entry (CPOE), Electronic Health Records
(EHRs), and Barcode Medication Administration (BCMA), enhances accuracy, mitigates risks, and improves
workflow efficiency.
Additionally, fostering clear communication and interdisciplinary collaboration among healthcare providers enhances
medication safety. Regular training, including simulations and mentorship programs, empowers pharmacy staff to
stay informed about best practices and emerging guidelines. By incorporating these multifaceted strategies,
pharmacists play a pivotal role in minimizing medication errors, reinforcing a safety culture, and promoting optimal
patient outcomes. This article underscores the essential contribution of pharmacists in managing high-risk
medications and advancing patient-centered care in dynamic pharmacy settings.

Keywords
Medication errors, High-risk medications, Anticoagulants, insulin, Pharmacy safety, Technology in pharmacy, Patient
education, Standardized protocols, Pharmacist role, Healthcare Collaboration
Crafting Artificial Insights: Mastering Synthetic Data for Model Training
Authors: Gopalan Dr. Ranjith , Sivasubramanian Dr. Ganesh Kumar
Published: November 2024

The increasing reliance on machine learning has led to a pressing need for diverse and representative training data.
However, acquiring real-world data can be challenging due to privacy concerns, data scarcity, and the excessive
cost of data collection. Synthetic data generation has emerged as a promising solution, offering opportunities to
safeguard privacy, increase data availability, and reduce bias in machine learning models. This research paper
presents a comprehensive exploration of synthetic data generation techniques, highlighting their advantages,
challenges, and implications for sustainable development.
To address this challenge, the research presented here explores expanding a deep learning framework that employs
Variational Autoencoders and Generative Adversarial Networks to create customizable synthetic data. The

proposed Variational Autoencoders framework is designed to digitally generate data as needed, conforming to user-
defined specifications. This approach, with its wide-ranging and generalized capabilities, addresses the gap in

customized, synthetic data generation, where previous efforts were limited to specific domains. Paper also talks
about Evaluating Synthetic Data Quality, Ethical Considerations and Challenges, Future Trends in Synthetic
Data Generation.

Keywords: Synthetic Data, Machine Learning, Data Augmentation, Generative Adversarial Networks, Variational
Autoencoders, Privacy-Preserving, Bias Reduction
"Storage Best Prac-ces for Enterprise LLM Deployments: A Decision Maker's Guide"
Authors:   Senior Technical Marketing Engineer, Arjunan Prabu
Published: November 2024

Large Language Models (LLMs) when used in business settings face challenges related to storage infrastructure
that have an influence, on performance efficiency and costs as well as scalability aspects. The examination here
delves into the recommended methods and structural elements to consider when setting up storage solutions for
LLMs in enterprise scenarios with a spotlight on implications for decision makers and tech experts. Based on
studies and real-world encounters in the industry, we explore how tailored storage setups can substantially lessen
inference delays while also leading to cost reductions in enterprise LLM implementation.
Keywords: Large Language Models, Enterprise Storage, Model Weights, Vector Databases, Storage
Optimization, MLOps, AI Infrastructure
Dynamics 365 Transforming Healthcare
Authors:   Senior Program Manager / Technical Architect Cloud and Healthcare, Accenture, Mhatre Anand Laxman
Published: November 2024

Understanding that the healthcare field is changing due to
increased digital advancement is essential. Dynamics 365,
leading the forefront across this transformation, is an
application that has a host of integrated applications that
offer solutions for better patient care, operations, and
efficiency. This whitepaper discusses how Dynamics 365
transforms healthcare to an integrated data and analytics
approach and coordinates with healthcare professionals.
Keywords: Dynamics 365, Healthcare Transformation,
Patient Care, Data Integration, Operational Efficiency, C
ollaboration, Digital Innovation
ACCESSIBILITY ORIENTED E-LEARNING AND COGNITIVE TRAINING
Authors: Sarangam Anand
Published: November 2024

This paper focuses on the accessibility in e-
learning or cognitive training for students,

especially for disabled students. It looks into
issues such as technology limitations and lack
of educators support, as well as show how
adaptive learning, using sensory substitution
and virtual reality are potential solutions. To
this end, the study calls for the integration of
advanced technologies, including AI, and the
improvement of policies regarding their use.
This underlines the need for an effective
learning environment for education and
enhanced learning capability.
Keywords
Accessibility, AI, WCAG, Section 508, SwDs,
Accessible learning, Cognitive training.
New Families of Two-Dimensional Nano Materials
Authors: Mojumdar Sidhartha
Published: November 2024

To review the recent advances in the field of nanomaterial one dimensional nanostructure are use d for field effect
transistor. Especially applications of nanomaterial are now days used in a wide range for fabrication,
functionalization, assembling of these nana sensors. I this study report we are going to study about various
application of nano material structure of two dimensional which are used in the different part of society for the sake
of human being. Several byproducts of nanomaterial are producing with the help of Nano mechanics and the
products we got are nanowires and Nano rods of very small cross-section. By the process it is seen that hoe the
molecules are detected and how the devices are enabled for this purpose of job. Finally it is concluded with recent
challenges that are facing to do some work regarding carbon Nano tubes. Carbon nanotubes are made from some free
molecules that are used for engineering purpose in every angle.
The Future of Automation Testing: From SDET to Autonomous Testing
Authors: Sistla Swetha
Published: November 2024

Automation testing has rapidly evolved from traditional manual methods to sophisticated AI-driven autonomous
testing frameworks. In this paper, we have discussed the evolution of the automation testing role and, in particular, the
transition from the SDET, Software Development Engineer in Test, to a fully autonomous testing solution. We look at a
set of emerging technologies-artificial intelligence, machine learning, and advanced analytics-enabling the creation of
self-healing test scripts, predictive analysis, and real-time feedback loops. Autonomous testing promises not just
efficiency but also a more adaptive response to software changes with minimum human intervention as organizations
try to move toward quicker release cycles with higher resilience. The emphasis of this paper is on the skills SDETs will
require in this new landscape, the technological drive for autonomous testing, and what all this means for the future
of quality assurance. We aspire to present insights into how autonomous testing can help improve productivity and
cost reduction, thereby improving software reliability and setting milestones in automation for software development.
Keywords
Automation Testing, Autonomous Testing, SDET (Software Development Engineer in Test), AI in Testing, Machine
Learning in Testing, Natural Language Processing (NLP) in Testing.
FACTORS AFFECTING CUSTOMER SATISFACTION IN 99 SPEEDMART STORE: A STUDY IN SEKSYEN 13, SHAH ALAM SELANGOR
Authors: Yusuf Afifah Azzahra , Anuar Aimi Binti , Azrin Madam Khairunnisa Binti
Published: November 2024

The Malaysian supermarket industry faces intense competition significant growth, necessitating an understanding of customer needs and preferences to achieve satisfaction and establish market leadership. Supermarket must prioritize key determinants of customer satisfaction, such as price, location, and store atmosphere, especially given the increased price sensitivity among Malaysian consumers. Therefore, gaining a comprehensive understanding of its determinants is crucial for researchers, retailers, and practitioners. This study’s current purpose is to empirical research the linking between price, location, and store atmosphere to customer satisfaction in supermarket industry among 99Speedmart Seksyen 13, Shah Alam. This study examined customer satisfaction in a specific locality enables a closer look at the factors influencing customer satisfaction. This study used a quantitative research approach to collect data from customers for this research. The researcher used a survey questionnaire to collect a sample size of 166 customers among 1956-Shah Alam Sek 13 (2) 99Speedmart which located in Jalan Boling Padang G13/G. This study used convenient sampling technique. The collected data used SPPS. The findings indicated that there is a notable correlation between price, location, and store ambiance and customer contentment in supermarkets. These outcomes could potentially aid supermarket managers in devising and executing more effective strategies to enhance customer relations and compete with rival stores.
GUIDANCE PROGRAM FOR PREVENTION AND MANAGEMENT OF MUSCULOSKELETAL COMPLAINTS FOR TEACHERS AT MADRASAH ALIYAH NEGERI 3 PALEMBANG
Authors: Septadina Indri Seta , Wardiansah  , Fatimah Nyimas , Fitri Agita Diora , Legiran  , Rahman Muzhaffar Zaid , Naibaho Richard B
Published: November 2024

The most common musculoskeletal complaint experienced by workers is low back pain (LBP) due to prolonged sitting duration and inappropriate work posture. There is a need for educational efforts regarding stretching movements that teachers can do between teaching or before and after work. Knowledge about this has been widely spread on social media, but to be more applicable, it is necessary to have a guide in the form of a checklist that teachers can do independently. The general purpose of this activity is to analyze musculoskeletal complaints that occur in high school teachers and then make preventive efforts such as counseling and assistance in the form of demonstration of stretching movements that can prevent low back pain and movements that can help increase back muscle strength so that back pain can be reduced.
Efrasiyab'ın Hikâyeleri'nde Metinlerarasılık Unsurları
Authors: Kurt Ömer
Published: November 2024

Metinlerarasılık kavramı özellikle 1960’lardan itibaren dünyada kuramlaşarak roman sahasında yerini almaya başlar. Her metnin özerk olduğu ve dünya üstünde o güne kadar söylenmemiş bir söz ya da ifade kalıbı olmadığı tezi bu kuramın temel dayanaklarından olur. Bu durum, metinlerin hem yazılış biçiminde hem de ele alınış ve değerlendiriliş biçimlerinde yeni bir süreci başlatır. Neredeyse tüm sanat alanlarına nüfuz eden metinlerarasılık olgusu, felsefe, tarih, coğrafya, fizik, kimya, matematik, sosyoloji, psikoloji gibi bilim dalları ile resim, sinema, fotoğraf gibi sanatların elde ettikleri birikimlerin kendi aralarında paylaşılması, yeni oluşturulan metinler ve sanat eserleri arasındaki kalın duvarların ortadan kaldırılması sonucunu doğurur. Önceden herhangi bir eserden kaynak göstermeksizin açıkça alıntı yapmak ayıp görülürken postmodern anlayışla yazılan metinlerde eserin temel bileşenlerinden birisi haline gelir ve artık sanatçı biriktirdiği tüm malzemeyi sanat zeminine yerleştirerek yeni bir kompozisyon oluşturup üretim yapmaya başlar. Sanat türleri arasında ayrımlar ortadan kalkmaya, farklı disiplinlerle oluşturulan metinler ve sanat eserleri arasında estetik, tema, konu bakımlarından geçirgenlikler ortaya çıkar. İhsan Oktay Anar edebiyatımızda metinlerarasılık unsurlarını hemen her romanında oldukça gizemli bir şekilde ve bir oyun düzeni içinde uygulamaktan zevk alan bir yazardır. Efrasiyab’ın Hikâyeleri romanı da bu bakımdan oldukça fazla unsur taşımaktadır.
Satellite image segmentation using UNet++ with Vgg19 deep learning model
Authors: Raju Yaragorla , Narayana M.
Published: November 2024

Satellite image segmentation is an essential step in many applications, including urban planning, disaster response and environmental monitoring. The problem though is that existing methods suffer from high failure rates because of the intrinsic complexity and variation found in satellite images. This research uses deep learning UNet++ and Vgg19 models to construct advanced satellite image segmentation method as we propose a brand-new approach of our own. In this study, the effective segmentation method combines the powerful feature extraction capability of Vgg19 model which is improved version based on Unet++ approach and data route aggregation module are adopted to provide complex detail in satellite images and contextual information. Implementing deep network models using known architectures will help increase accuracy and efficiency in situations where training datasets can be limited. Apparently, the approach was tested and bench-marked over a set of datasets for several visual contexts confirmed by extensive testing which resulted in an increased precision, recall along with F1 scores.
Total degree of maximal product of two constant intuitionistic fuzzy graphs
Authors: Indumathi P. , Kumar S. Santhosh , Buvaneswari R., , Mala S. K.
Published: November 2024

This paper explains about the Total degree of Maximal product of Two constant IF graphs. Fuzzy graphs are derived from crisp graphs. Various properties of IF graphs are extended from Fuzzy graphs. Maximal product of Fuzzy graph structures with applications have been discussed in different papers and extended to IF graphs. Constant IF graphs are special type of IF graphs which have same degree for all its vertices. IF Graphs have many applications including the investigation of images by image segmentation, Brain mapping etc, Maximal product of fuzzy graphs is applied in various fields like effective logistic Management, Agricultural product mapping etc. Here in this paper, the Total degree of the vertices in maximal product of Constant IF graphs are studied in detail with definition and various examples and theorems.
The modalities of use of medicinal flora in the province of Taza (Northern Morocco): Via an ethnobotanical and ethnopharmacological survey
Authors: Hajli Faiza El , Chakir Said , Ghabbour Issam , Bouhraoua Said , Kachmar Mohamed Reda , Khabbach Abdelmajid , Hammani Khalil , Echchgadda Ghizlane
Published: November 2024

An ethnobotanical survey was carried out between April 2019 and April 2020 to verify the modalities of use of medicinal flora in the province of Taza. The main objective of this study is to determine the modalities of the use of medicinal flora using a survey questionnaire and quantitative analysis. An updated catalog of plants used in the Taza region will be produced at the end of the analysis. In the population studied, 59% are women and 52% are illiterate. 75 taxa are identified and grouped into 42 families, of which Lamiaceae (FUV=0.083) and Cupressaceae (FUV=0.068) are the most frequent. Criterion of Preparation (CP), Criterion of Part Used (CPU), and Criterion of Administration (CA) were calculated. Leaves are the most used part (60%), and the preparation of remedies is essentially based on decoctions (49%), and administration is mainly done orally (77%). The highest UV value was obtained for Rosmarinus officinalis L. (0.184), and Origanum compactum Benth. (0.184) and Thymus zygis L. (0.177). These same species also present the highest RFC. The highest FL value was obtained for 64 taxa. The highest ICF value was obtained for urinary/urological disorders (0.839) and metabolic diseases (0.831). Seven categories of diseases are treated and PCA analysis showed that PC1 accounted for 80.92% of the total variation while PC2 presented 13.86%, and PC1 is strongly influenced by FC, RFC, UV, and UR, while FL influences PC2. These results are considered to be a very important source of information for the study area and may help to prevent the loss of traditional knowledge on the use of medicinal plants
Asset Quality, Firm Size and Volatility of Returns of Insurance Companies in Egypt
Authors: Mohamed Eladly Salah
Published: November 2024

This article examines the hypotheses regarding the impact of asset quality and firm size on the volatility of
returns (specifically, the standard deviation of return on assets and standard deviation of return on equity) of
insurance companies in Egypt. The study utilizes the ARDL and GARCH models. The findings indicate that
asset quality is related to the volatility of returns, as specified by the standard deviation of return on assets and
the standard deviation of return on equity. The results reveal a positive relationship between asset quality and the
volatility of returns. However, firm size (measured by the natural logarithm of total assets) demonstrates a
negative relationship with the volatility of returns, as measured by both the standard deviation of return on equity
and the standard deviation of return on assets. This paper focuses on investigating the relationship between asset
quality and firm size with the volatility of returns, analyzing a sample of 23 Egyptian insurance firms over the
period from 1999 to 2019.
Productivity Puzzle of the Mexican Economy, 1994-2023
Authors: Paez Benjamin Garcia
Published: November 2024

Mexico’s productivity landscape has faced significant challenges over the past few decades. This study aims to explain the productivity puzzle in the Mexican economy from 1994 to 2023 by utilising the labour productivity accounting framework to estimate an econometric model that measures Mexico’s total factor productivity (TFP); furthermore, it identifies the factors that previously contributed to growth but are now weakening. The empirical results reveal that the decreasing trend of TFP is because of capital saturation rather than the labour factor. Additionally, it shows that both productivity per worker and per hour worked exhibit a negative but significant relationship with TFP. Therefore, strategic investments in education, training, and infrastructure are crucial for overcoming productivity challenges and leveraging opportunities like nearshoring for sustainable growth.
Impact of perceived safety on customers' use of digital banking services at commercial banks: A case study in Vietnam
Authors: Tran Quang Bach , Nguyen Thi Bich Thuy , Nguyen Thi Thu Cuc , Duong Duc Anh
Published: November 2024

This study elaborates on the impact of perceived safety on customers’ use of digital banking services at commercial banks in Vietnam. Digital banking services emerged as a significant milestone, exemplifying the transformative growth and integration of commercial banks. By using exploratory factor analysis (EFA) and linear structural equation modeling (SEM), the study examines the impact of perceived safety on customers’ use of banking services in Vietnam. Data includes a sample of 558 customers of commercial banks. The research results show the relationship between perceived safety and service usage behavior through a mediating variable: intention to use. At the same time, the study also shows the mediating role of factors such as favorable conditions, expected efficiency, and trust in the relationship between perceived safety and customer intention to use digital banking services. This research contributes theoretically and practically by empirically showing the mediating role of the variable “intention to use” in the relationship between perceived safety and the use of banking services. The findings have practical implications for commercial banks in developing countries, especially those similar to Vietnam, providing them with insights to improve their digital banking services. Additionally, this study opens up avenues for future research. Based on these results, the study proposes several recommendations to encourage customer adoption of digital banking services at commercial banks in Vietnam.
Dividend payout and macroeconomy: Evidence from ASEAN country
Authors: Natalia Sharlene , Radhitya Fairuz Thabit , Ariefianto Moch Doddy , Valentine Angie
Published: November 2024

This research examines the dividend payout and macroeconomy of ASEAN countries. Macroeconomic conditions significantly influence dividend payout policies, as they reflect business prospects and forecast a firm's future cash-earning capacity. These conditions help management decide whether to distribute cash earnings as dividends or retain them for growth or precautionary reasons. Macroeconomic factors are typically categorized into Short-Term Macroeconomic Factors (STMF) and Long-Term Macroeconomic Factors (LTMF). Despite the straightforward logic behind these classifications, scholarly consensus remains elusive. This paper contributes to the ongoing debate by examining the impact of macroeconomic factors on dividend policies, focusing on non-financial companies in the ASEAN region—a dynamic global area. We analyzed a sample of 2,193 ASEAN companies using annual data from 2011 to 2021, resulting in 24,123 observations. Employing the General Method of Moments (GMM) dynamic panel regression, the study finds that STMF negatively affects dividend payouts, while LTMF positively influences them. This distinction between short-term and long-term impacts has significant practical and regulatory implications.  These findings hold up well when subjected to various robustness checks. Regulators need to maintain stable environment for firms by recognizing the importance of strong governance frameworks in fostering investor confidence, while investors need to be well-informed in response to uncertainty, as it can impact dividend and investment returns.
AUTOWAVE PHYSICS OF INHOMOGENEOUS PLASTIC FLOW
Authors: ZUEV L.B. , KHON YU.A.
Published: November 2024

The paper presents the history of the autowave model for localized plastic flow developed at the ISPMS SB RAS and describes the fundamentals of the autowave approach to the problem of inhomogeneous plastic flow based on the idea of plastic flow localization. Attention is drawn to the historical aspect of the development of new ideas about the phenomenon of plasticity. The main relations of the autowave plasticity model (conformity principle, elastic-plastic and mass invariants of plastic strain) are given, and its technical applications are considered. The two-component model is used to develop the theory of inhomogeneous plastic flow, taking into account the correlated (collective) properties of ensembles of deformation carriers. It is shown that solutions of the obtained equations describe patterns observed at all stages of strain hardening.
OXYGEN AND NITROGEN DIFFUSION IN TITANIUM NITRIDE
Authors: BAKULIN A.V. , CHUMAKOVA L.S. , KULKOVA S.E.
Published: November 2024

Diffusion of oxygen and nitrogen in titanium nitride was studied using the projector augmented-wave method combined with transition state theory. Atomic migration energies were calculated for two diffusion mechanisms (interstitial and vacancy ones). It was found that the oxygen migration energy in the case of the interstitial mechanism is ~0.3 eV lower than that through nitrogen vacancies, while the indirect mechanism through the position in the center of a cube formed by titanium and nitrogen is more preferable. Estimation of the temperature-dependent diffusion coefficient of oxygen and nitrogen in titanium nitride for two mechanisms showed their strong dependence on the concentration of thermal vacancies. It was shown that the interstitial mechanism of nitrogen diffusion occurs at temperatures below 1500°C and the vacancy mechanism prevails at high temperatures, while the calculated activation energies and diffusion coefficients are consistent with experiment. The obtained values of the oxygen diffusion coefficient for both mechanisms at high concentrations of constitutional vacancies are comparable with the experimental values for TiO2, and the values obtained at low concentrations remain several orders of magnitude higher than in Al2O3.