bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevalence of Nonalcoholic Fatty Liver Disease among Obese Patients Presented in Liaquat University Hospital Hyderabad/Jamshoro
Authors: Memon Yasra , Fareed Ghulam , Shaikh Tariq Zaffar , Ali Qureshi Kamran , Karim Imran , Memon Zaheer Hussain
Published: February 2025

Non-Alcoholic Fatty Liver Disease (NAFLD) is a common liver disorder strongly linked to obesity and metabolic syndromes. Its identification in obese patients is critical for early management and prevention of complications. Objective: To evaluate the prevalence of NAFLD in obese patients presenting to a tertiary care hospital in Hyderabad, Pakistan. Methods: A cross-sectional study was conducted in Liaquat University Hospital Hyderabad and Jamshoro, over six months. Initially, 78 obese patients (BMI>30) were included through convenience sampling but after weight adjustment (IPW) it became 500 Patients. Demographic, anthropometric, and clinical data were collected. NAFLD diagnosis was based on ultrasound findings. Data were analyzed using SPSS version 22.0. Results: The prevalence of NAFLD was 41% in obese patients presented to hospital. In the adjusted model, BMI was the strongest predictor of NAFLD (OR = 1.205, 95% CI: 1.165–1.246, p<0.001), with each unit increase in BMI increasing the odds of NAFLD by 20.5%. Male had significantly lower odds of NAFLD compared to female (OR = 0.644, 95% CI: 0.540–0.767, p<0.001). Waist circumference (OR = 0.981, p=0.017p) and weight (OR = 0.969, p<0.001) were negatively associated with NAFLD, likely reflecting residual effects after adjusting for BMI. Conclusions: NAFLD is prevalent among obese patients in Pakistan, with Body Mass Index as the primary risk factor. Adjusting for sampling biases via IPW provided more accurate and generalizable findings. Routine screening for NAFLD and targeted interventions for weight management, particularly in female, are essential to mitigate disease progression.
Preliminary Investigation of AI Adoption among Healthcare Practitioners in Pakistan
Authors: Habib Samrat , Khan Zafar Ullah , Nawaz Ali , Salman Rao , Saeed Umer , Saeed Saman , Habib Taha
Published: February 2025

Artificial intelligence (AI) is progressively revolutionizing healthcare systems globally, delivering innovative solutions for diagnosis, treatment, and operational efficiency. However, its acceptance among healthcare providers in Pakistan remains unexplored. Objectives: To explore the trends of artificial intelligence on healthcare professionals' knowledge, attitudes, and practices in Pakistan and to focus on variations across medical specialities, professional experiences, and work environments. Methods: A cross-sectional survey was conducted from May to July 2024, using Google Surveys to collect data from 321 healthcare professionals across various medical specialties in Pakistan. Structured questionnaires were distributed electronically, and the responses were analyzed using Chi-Square tests to determine associations between AI knowledge, attitudes, and professional characteristics. Results: Results obtained indicated varying levels of AI awareness and practice, with notable disparities across different specialties and experience levels. Younger professionals with less experience considerably accepted AI technologies, whereas relatively more experienced professionals exhibited increasing reluctance to adopt AI technology in their professions.  Positive attitudes toward AI were more prevalent in academic and tertiary care settings compared to primary care environments and medical teaching. Conclusions: This study concludes that there is a crucial knowledge gap and poor AI adoption among Pakistan's healthcare practitioners, which is compounded by insufficient training and technological constraints. Addressing these challenges is critical for attaining AI's potential in improving healthcare outcomes.
Evaluating the Diagnostic Accuracy of High-Resolution Computed Tomography in Detecting COVID-19: A Comparative Study Using Polymerase Chain Reaction as the Gold Standard
Authors: Saleem Rida , Khan Shandana , Nowsherwan . , Shuaib Syed Luqman , Syed Rabia , Sattar Mamoona
Published: February 2025

Pakistan has faced three waves of COVID-19, each intensifying the strain on diagnostic resources. Delayed diagnoses during these waves hindered timely treatment and contributed to disease transmission. Objective: To evaluate the diagnostic accuracy of High-Resolution Computed Tomography (HRCT) in detecting COVID-19, using Polymerase Chain Reaction (PCR) as the gold standard. Methods: A cross-sectional study was conducted from November 26, 2021, to May 26, 2022, at the Department of Radiology, Northwest General Hospital & Research Centre, Peshawar. The study included 234 clinically suspected COVID-19 patients, aged 20–60 years, of both genders. Chest CT scans were performed, and results were compared with PCR. Data were analyzed using SPSS version 20, with p<0.05 considered significant. Results: Of the 234 patients, 133 tested positive for COVID-19 via PCR, while 101 were negative. HRCT demonstrated an overall accuracy of 73.9%, sensitivity of 72.9%, specificity of 75.2%, positive predictive value of 79.5%, and negative predictive value of 67.8%. Chi-square analysis revealed significant correlations of HRCT accuracy with BMI (p=0.004) and illness duration (p=0.010) but not with age (p=0.956) or gender (p=0.113). Conclusions: HRCT shows reasonable sensitivity, specificity, and overall accuracy as a diagnostic tool for COVID-19. Its performance improves in women, those with higher BMI, and longer illness duration but should not replace PCR testing due to its modest negative predictive value.
Anthropocene futures: Regeneration as a decarbonization strategy
Authors: Lugo-Morin Diosey Ramon
Published: February 2025

In the context of the Anthropocene, and in the face of an unprecedented climate crisis generating 20 billion tonnes of CO2 annually, this study critically examines the transition from a ‘grey’ economy based on fossil fuels to a ‘green’ and regenerative economy, proposing two interrelated strategies: the transformation of terrestrial and agricultural systems to enhance natural carbon sequestration (including halting deforestation, regenerative agriculture and sustainable livestock systems), and the restructuring of global social metabolism (promoting reduced consumption, circular economies and renewable energy). The analysis emphasizes that this transition will require unprecedented global cooperation and bold government policies and will face significant challenges such as resistance from entrenched interests and global inequalities; however, the expected benefits—including a stable climate, healthy ecosystems and a sustainable economy—justify the necessary efforts, framing this transformation not just as a technical challenge but as an ethical and ontological imperative to move from an extractive relationship with the planet to a co-creative role that ensures intergenerational prosperity and planetary health.
Comparison of RRT and TRRT Object Arrangement Path Planning Robot for Retail Warehouse Using CoppeliaSim
Authors: Law Hin Kwee , Mohd Sobran Nur Maisarah
Published: February 2025

Shelf stocking in retail warehouses requires high accuracy, multitasking, and precise timing. Automating the process has become a popular solution due to difficulty in facing continuous demand in replenishing items at shelves. The traditional path planning, Rapid-exploring Random Tree (RRT) approach is inefficient and produce suboptimal path generation when it comes to complex workspaces such as retail warehouse. Furthermore, the simple linear interpolation method used for robotic arm manipulation can result in jerky, unrealistic motion, and collisions with obstacles. To address these issues, the Transition-based Rapidly-exploring Random Tree Star (TRRT) is proposed to achieve the shortest distance in shelving items at warehouse. The study also implements inverse kinematics algorithms for smooth arm manipulation. In this study, the TRRT is constructed in CoppeliaSim software using the OMPL Library as well as Inverse Kinematics (IK) algorithms. The results show that the TRRT approach generates shorter paths than the RRT approach but takes longer calculation time. Moreover, the TRRT approach demonstrates a good repetition result compared to the RRT approach. Furthermore, the accuracy percentage between the joints angle obtained from CoppeliaSim and the IK calculation in MATLAB reaches 99.27%. In conclusion, the TRRT approach and inverse kinematics algorithms improve the efficiency and smoothness of the object arrangement path planning robot, making it a viable solution for automating the shelf-stocking process in retail warehouses.
Assessing economic risks and returns of energy transitions with quantitative financial approaches
Authors: Agbede Oluwole Oluwadamilola , Akhigbe Experience Efeosa , Ajayi Ajibola Joshua , Egbuhuzor Nnaemeka Stanley
Published: February 2025

The global shift from fossil fuels to renewable energy sources is accelerating as countries seek to achieve sustainable economic growth and mitigate climate change. However, energy transitions involve significant economic risks and returns, necessitating robust financial analysis to inform policy and investment decisions. This study assesses the economic risks and returns associated with energy transitions by employing quantitative financial approaches, including risk assessment models, discounted cash flow (DCF) analysis, and scenario analysis. The research incorporates macroeconomic data and industry-specific financial metrics to evaluate the cost-benefit trade-offs of transitioning to renewable energy across different sectors and regions. Key findings reveal that while energy transitions require substantial upfront capital investments in infrastructure and technology, they yield long-term economic returns through cost savings, job creation, and reduced exposure to volatile fossil fuel markets. However, the risks include stranded assets, market disruptions, and financial uncertainty for industries reliant on non-renewable energy sources. The analysis highlights regional disparities in the financial viability of energy transitions, with developed economies showing greater resilience due to stronger policy frameworks and access to capital, whereas developing economies face challenges in financing and infrastructure. By employing scenario analysis, the study examines various pathways for energy transitions under different policy, technological, and market conditions. Results indicate that strategic investments in renewable energy technologies and supportive regulatory environments can significantly mitigate economic risks while maximizing returns. The findings also emphasize the importance of integrating environmental, social, and governance (ESG) factors into investment decision-making to ensure a sustainable and equitable transition. This research provides actionable insights for policymakers, investors, and industry stakeholders to navigate the complexities of energy transitions. By leveraging quantitative financial approaches, the study offers a comprehensive framework for assessing the economic implications of transitioning energy systems, aligning with global efforts to achieve a low-carbon future.
Economic Analysis of Transitioning from Fossil Fuels to Renewable Energy Using Econometrics
Authors: Ajayi Ajibola Joshua , Akhigbe Experience Efeosa , Egbuhuzor Nnaemeka Stanley , Agbede Oluwole Oluwadamilola
Published: February 2025

The global transition from fossil fuels to renewable energy is essential to mitigate climate change, reduce environmental degradation, and achieve sustainable development goals. However, this transition entails significant economic implications for energy markets, industries, and consumers. This study conducts an economic analysis of transitioning from fossil fuels to renewable energy, utilizing econometric models to quantify the costs, benefits, and broader market impacts of renewable energy adoption. By integrating empirical data with advanced statistical techniques, the research provides a comprehensive evaluation of the economic trade-offs associated with decarbonizing energy systems. The study begins by exploring the economic drivers and barriers to renewable energy transition, including policy frameworks, technological advancements, and market dynamics. Key econometric methods, such as time-series analysis, regression modeling, and panel data analysis, are employed to examine trends in energy consumption, investment patterns, and price fluctuations across fossil fuels and renewables. The research incorporates both macroeconomic and microeconomic perspectives, analyzing the effects of renewable energy adoption on GDP growth, job creation, energy affordability, and industrial competitiveness. Results from the econometric analysis reveal a dual impact: while transitioning to renewables requires substantial initial investment and may temporarily increase energy costs, it offers long-term economic benefits, including enhanced energy security, reduced carbon emissions, and growth in green job sectors. Moreover, policy instruments such as subsidies, tax incentives, and carbon pricing are shown to play a critical role in accelerating the transition while minimizing economic disruptions. The study also identifies regional variations in the economic effects of renewable energy adoption, influenced by factors such as resource availability, policy environments, and industrial structures. It highlights the need for tailored transition strategies that balance economic, environmental, and social priorities. This research contributes valuable insights for policymakers, investors, and energy stakeholders, emphasizing the importance of data-driven planning and policy design. By applying econometrics to the analysis of energy transitions, the study advances understanding of the economic pathways toward a sustainable, low-carbon future, addressing critical challenges and opportunities in the global energy landscape.
Proposing a Data Privacy Impact Assessment (DPIA) Model for AI Projects under U.S. Privacy Regulations
Authors: Chintoh Grace Annie , Segun-Falade Osinachi Deborah , Odionu Chinekwu Somtochukwu , Ekeh Amazing Hope
Published: February 2025

The rapid adoption of artificial intelligence (AI) across industries such as healthcare, finance, and technology has amplified concerns about data privacy and regulatory compliance. Current methodologies for conducting Data Privacy Impact Assessments (DPIAs) often fail to address the unique challenges AI systems pose, including algorithmic bias, data diversity, and opacity. This paper proposes a tailored DPIA model designed to navigate the complexities of AI projects under U.S. privacy regulations, including CCPA, HIPAA, and GLBA. The model integrates key components such as risk identification, stakeholder engagement, transparency, fairness, and robust data protection measures. Hypothetical and real-world case studies from healthcare, finance, and technology demonstrate the framework’s applicability and effectiveness in addressing compliance and ethical concerns. Practical recommendations for policymakers, organizations, and AI practitioners are provided to foster responsible innovation. The paper concludes by identifying future research directions, emphasizing the need to adapt the framework for emerging AI technologies and global regulatory standards.
Review and Prospect of Research on Medical Insurance for Urban and Rural Residents in China Since the New Medical Reform
Authors: Huang Aimin , Ma Weishu
Published: February 2025

Since the new medical reform, China's urban and rural residents' medical insurance has undergone continuous reforms, which is of great significance for safeguarding the life and health of the people. Through the use of CiteSpace software, this article analyzes the core journals of research on China's urban and rural residents' medical insurance since the new medical reform included in CNKI. In terms of number of paper published, research institutions, author collaboration, research topics, and research hotspots, we have summarized the research context in the field of urban and rural residents' medical insurance in China. The study found that research on urban and rural residents' medical insurance in China has reached a stable stage, with research content continuously refined and research topics becoming more extensive. Future research should strengthen communication and interdisciplinary and cross-field cooperation among institutions or teams, establish a systematic view of urban and rural residents' medical insurance, pay attention to economic and social changes, so as to promote the further development of China's basic medical insurance for urban and rural residents, and improve and adapt to changes in the times.
Study of the Relationship Between Two Types of Mixed-Order Evolution Equations and the Existence of Their Solutions
Authors: Yuan Haoshan
Published: February 2025

The purpose of this article is to study the relationship between two types of mixed-order evolution equations and the existence of their solutions. Initially, the mild solutions of the two system are obtained by Laplace transform. Then, we use semigroup theorem and sector operator theorem to get the norm estimation results of under- standing operator through special paths in the complex plane. Further, the sufficient conditions for existence and uniqueness of mild solution of the proposed system are verified by applying fixed point theorems. Finally, examples are provided to illustrate the main results.
A CADEIRA COMO MEDIADORA DE RELAÇÕES COMPLEXAS ENTRE CORPO E OBJETO, ENTRE O SUJEITO E SEU ESPAÇO
Authors: Fernandes Adriana Sousa , Mariño Suzi Maria , Hernandez Maria Herminia
Published: February 2025

Em uma cadeira se constrói um conjunto de qualidades inseridas em sua forma. Essas qualidades vão além da mera funcionalidade, abrangendo também aspectos estéticos e simbólicos que podem materializar personalidades e experiências capazes de marcar profundamente o usuário. A cadeira, portanto, não é apenas um objeto utilitário, mas também um meio de expressão e interação entre o corpo e o espaço que ocupa. Neste estudo, buscamos investigar os aspectos e momentos que caracterizam a forma da cadeira como uma ferramenta de transposição na relação entre corpo e objeto. Uma das questões centrais que norteiam esta pesquisa é: como a forma de uma cadeira pode identificar uma personalidade ou consolidar uma relação única com o usuário? Para explorar essa problemática, foram analisados dois exemplos significativos: a cadeira retratada na obra de Van Gogh e a cadeira Mole, criada pelo designer brasileiro Sérgio Rodrigues. A cadeira de Van Gogh reflete simplicidade e subjetividade, sendo um exemplo de como um objeto pode carregar valores emocionais e contextuais. Por outro lado, a cadeira Mole representa uma combinação de conforto, identidade cultural e inovação no design. Ambas destacam o entrelace profundo entre o objeto e o ser humano. Os resultados indicam que os artefatos não são elementos estáticos e imutáveis, mas mudam conforme o contexto, fatores históricos e sociais. O tempo emerge como um fator crucial que conecta todas as categorias, influenciando o significado e o impacto do objeto na experiência humana.
Analisis Faktor-Faktor yang Memengaruhi Tax Avoidance Pada Perusahaan Sektor Manufaktur
Authors: Natrion  , Sianturi Heriston , Sidauruk Tagor Darius
Published: February 2025

Since taxes are the state's main source of income, the government must work to make its revenue more efficient. However, as taxes are a burden that taxpayers must pay efficiently, the purpose of this study is to examine factors that affect tax evasion in manufacturing companies that are listed on the Indonesia Stock Exchange between 2020 and 2023. Secondary data from the 2020–2023 annual financial reports of manufacturing businesses listed on the Indonesia Stock Exchange are used in this kind of quantitative study. Purposive sampling with certain criteria is used in the sampling technique. Multiple linear regression is used in the data analysis technique to evaluate the relationship between the independent and dependent variables. Transfer pricing, audit committees, and capital structures, in part, have little bearing on tax evasion. Institutional ownership, meanwhile, has some bearing on tax evasion. Transfer pricing, institutional ownership, audit committees, and capital structure all have an impact on tax evasion at the same time.
Determinan Ketepatan Pemberian Opini Audit Dengan Pengalaman Auditor Sebagai Variabel Moderasi
Authors: Christina Christina , Ilyas Meifida , Salsabila Putri
Published: February 2025

This research aims to partially and simultaneously determine independence, ethics and competence on the accuracy of providing audit opinions, as well as the role of auditor experience as a moderator in this relationship. The research population is auditors registered at KAP South Jakarta. The research sample was 83 respondents. The sampling technique is purposive sampling. The analysis method is multiple linear regression. The partial research results show that ethics and competence influence the accuracy of providing an audit opinion, while independence does not influence the accuracy of providing an audit opinion. Furthermore, the auditor's experience which acts as a moderating variable is able to influence the relationship between ethics and competence, but weakens the relationship between independence and the accuracy of providing an audit opinion. Simultaneously the auditor's independence, ethics, competence and experience which act as moderating variables have an influence on the accuracy of providing an audit opinion
AMAZÔNIA: PARAÍSO DO TERCEIRO REICH? O ALINHAMENTO POLÍTICO DO BRASIL COM O NAZIFASCISMO NA EXPEDIÇÃO CIENTÍFICA AO JARÍ
Authors: Iori Miranda Eduardo
Published: February 2025

Este trabalho tem como objetivo primordial discutir, ainda que de maneira incipiente, o posicionamento do Brasil em relação à ideologia nazifascista em meados da década de 1930, ou seja, durante o primeiro governo Vargas. Porém, o fato histórico que permeará o debate é a expedição científica promovida pela Alemanha nazista à Amazônia, particularmente a subida ao rio Jarí, na fronteira entre o Amapá e o Pará de 1935 a 1937. Utilizando-se de variadas fontes, a ideia é trazer à luz a possibilidade de estudo sobre a história recente da Amazônia, mais especificamente no período entreguerras, quando diferentes ideologias de cunho fascista buscavam áreas de influência em todo o mundo ocidental.
ENTRE O SERTÃO E A AMAZÔNIA: ‘VIDAS SECAS’ EM EIRUNEPÉ-AM
Authors: Maciel de Lima Maria Estela , Fonseca Thaila , Rodrigues da Costa Greiciele
Published: February 2025

Este artigo investiga a experiência de leitura e produção escrita em uma sala de aula de uma escola pública de Eirunepé-AM, utilizando o romance Vidas Secas, de Graciliano Ramos, como ferramenta pedagógica. A pesquisa, de natureza qualitativa, envolveu 10 alunos do 1º ano do ensino médio, combinando rigor teórico com investigação de campo. O principal objetivo é fomentar o hábito da leitura e da escrita no ambiente escolar, destacando como a obra, ao retratar a migração e a luta por sobrevivência no sertão nordestino, ressoa com as realidades e desafios vividos na Amazônia. Nesse sentido, a narrativa se conecta com o contexto amazônico, marcado por questões de mobilidade territorial e as fronteiras simbólicas e físicas que moldam as vidas dos estudantes. O referencial teórico inclui autores como Kefalás (2012), Miranda (2019), Magalhães (2015) e Ramos (2010). Durante o percurso metodológico, foram apresentados fragmentos da obra em uma oficina literária, permitindo que os alunos relacionassem o texto às suas próprias experiências de vida. Os resultados indicam que Vidas Secas atua como um recurso essencial para que os estudantes estabeleçam conexões entre a narrativa literária e suas vivências pessoais, enriquecendo assim sua experiência com a literatura.
From Code to Quality: Exploring Test-Driven Development in Modern Software Engineering
Authors: Chandrika Asha Rani Rajendran Nair
Published: February 2025

Test-Driven Development (TDD) is a powerful methodology that bridges the gap between testing and
development in software engineering. This approach prioritizes writing tests before writing the actual code,
ensuring that each component meets its intended purpose from the outset. The process of TDD typically follows
a simple cycle of writing a test, implementing the code, and refactoring, known as the "Red-Green-Refactor"
loop. TDD offers several advantages, including enhanced code quality, reduced debugging time, and a smoother
integration process, making it an essential practice for both developers and testers. By focusing on small,
incremental code changes, TDD also encourages developers to write cleaner, more maintainable code. In
addition, TDD fosters collaboration between developers and testers, as it requires early test creation and
feedback integration. Despite some initial challenges, such as the learning curve and time investment, TDD has
proven to increase overall productivity and product reliability. This article provides a comprehensive guide to
understanding and implementing TDD, including its benefits, challenges, and real-world applications, to help
teams adopt this best practice effectively.

Keywords: Test-Driven Development, TDD methodology, Agile testing, Automated testing, Code quality, Red-
Green-Refactor cycle, Unit testing, Continuous testing, Test-first approach, Refactoring code
Aligning HR Strategies with Organizational Goals: A Data-Driven Approach
Authors: Madhavi K Satya , Suresh Nunna , Thavva Vara Lakshmi , Jagannayaki Jagannayaki
Published: February 2025

The alignment of Human Resource (HR) strategies with organizational goals has become a critical factor for driving
sustainable success in today's competitive business landscape. This paper explores a data-driven approach to integrate

HR strategies with organizational objectives, leveraging advanced analytics and predictive tools to enhance decision-
making processes.[2] By systematically analyzing workforce data, organizational performance metrics, and market

trends, HR practitioners can design strategies that are not only aligned with long-term goals but also adaptive to dy-
namic business environments. The paper introduces a framework that links HR practices such as talent acquisition,

employee development, performance management, and workforce planning to measurable organizational outcomes. It
emphasizes the role of data analytics in identifying skill gaps, predicting future talent needs, and evaluating the impact
of HR initiatives on productivity and profitability[1]. Furthermore, the study highlights the importance of fostering a
culture of agility and continuous improvement, enabling organizations to remain resilient and innovative in a rapidly
changing global economy.

Keywords: HR strategies, organizational goals, data-driven approach, workforce analytics, talent management, per-
formance optimization.
BI-Fuel Ice Concept using Petrol and Hydrogen
Authors:   ts, Department of Automobile Engineering, Acharya Institute of Technology, R Shadakshari
Published: February 2025

n this project, we are delving into the realm of alternative fuel sources by exploring the integration of hydrogen obtained through electrolysis into traditional petrol engines. Our objective is to design and implement a system that blends hydrogen with petrol to create a hybrid fuel mixture for combustion engines. Through electrolysis, we will generate hydrogen gas from water, which will then be introduced into the engine's intake system alongside petrol. By studying the combustion characteristics and performance effects of this blended fuel mixture, we aim to assess its viability as a cleaner and more efficient alternative to pure petrol combustion. This project not only contributes to the pursuit of sustainable energy solutions but also offers insights into the potential for hydrogen as a supplementary fuel in conventional internal combustion engines, paving the way for greener transportation technologies.

Keywords- Alternative fuels, Butane, combustion characteristics, Carbon dioxide (CO2), Carbon monoxide (CO), emissions, fuel efficiency, hydrogen, Hydrocarbon (HC), internal combustion engines, NOx emissions, oxyhydrogen (HHO), petrol, pre-ignition, Renewable hydrogen production, sustainability, Tailpipe emissions.
Brickster Self-Plastered Bricks - Future of wall construction
Authors:   Bachelors of engineering in Civil Engineering from Osmania University, Hyderabad India.  Project Management Professional from San Diego State University, San Diego, USA, Uba Rajesh Kumar
Published: February 2025

Traditional bricklaying and plastering methods involve significant material wastage, labor-intensive processes, and increased construction time. This paper introduces Brickster, an innovative building material that integrates brick and plaster as a single component, eliminating the need for separate plastering. The study highlights the environmental benefits, material efficiency, cost reduction, and labor optimization associated with this new approach. The concept is particularly relevant for India and other regions where red bricks are the primary construction material. By reducing plaster wastage and simplifying construction techniques, Brickster offers a sustainable and time-efficient alternative for modern construction.
The Use of Altman Z-Score, Springate, and Zmijewski in Detecting Financial Distress in the Transportation and Logistics Sector Companies
Authors: Krisyuanto Tyus , Budiwitjaksono Gideon Setyo
Published: February 2025

This research aims to explore how the Altman model (Variable X1), the Springate model (Variable X2), and the Zmijewski model (Variable X3) affect financial distress. A quantitative approach is used, with information gathered from secondary sources, specifically financial statements of transportation and logistics firms on the Indonesia Stock Exchange. The analysis includes systematic compilation, tabulation, and examination of data. The findings from the discriminant analysis indicate that only the Springate model (X2) demonstrates statistical significance, whereas both the Altman (X1) and Zmijewski (X3) do not achieve significance. In terms of predictive accuracy for each model, Altman yields 54.16%, Springate provides 58.33%, and Zmijewski records 16.66%. In summary, within companies operating in the transportation and logistics sector, it is evident that Springate model (X2) possesses a substantial influence in forecasting instances of financial distress, while neither the Altman (X1) nor Zmijewski (X3) models exhibit a comparable level of influence. The findings indicate that the Springate model is the most effective tool for predicting financial distress in this sector.
POULTRY COMB-BASED FOOD PRODUCTS: APPROACHES TO SHELF-LIFE PREDICTION AND QUALITY ASSESSMENT
Authors: Patsera Nataliia , Voytsekhivska Lubov , Verbytskyi Sergii
Published: February 2025

Poultry combs are considered as a valuable raw material for the production of various food products. A flowchart outlining the industrial manufacturing process for these products is developed and substantiated. The study details the physical and chemical properties of poultry combs, and the results are presented. To evaluate the alimentary value of the product developed, a comprehensive analysis of the chemical traits was fulfilled. The findings conclude that ready-to-eat products made from poultry combs are nutritious, technologically feasible, and accessible to a wide range of consumers. The chemical composition of thermally treated poultry combs, particularly the high protein content, contributes to the limited shelf life. This implies the need for scientifically-based predictions of safe storage periods, which can be achieved through practical research (which is time and labor-intensive but reliable) or sophisticated mathematical modeling (which is easier to implement but may be less reliable). This scientific paper substantiates the application of factorial testing methods to predict the shelf life of perishable meat products.
Sistem Informasi Approval Magang dengan Metode Workflow Management pada PT. Telkom Akses
Authors: Bilbi Huzaimi Mahmuda  , Samsudin Samsudin  , Laila Nurzanah
Published: February 2025

The internship application process at PT Telkom Akses is still done conventionally, where the applicant must apply directly by bringing the application letter to the relevant department. This process involves several stages, including approval from superiors and time-consuming disposition, which can cause inconvenience and uncertainty for the applicant. The Internship Approval Information System is designed to improve efficiency and transparency in the internship application and approval process. The purpose of this information system is to improve the conventional system so that applicants can easily submit applications, receive information about the status of applications, and facilitate managers in monitoring and reporting internship application activities. In designing this system, the Workflow Management method is used to organize a clear and structured workflow, so that each step in the approval process can be carried out systematically and efficiently. The results of this system design are expected to be used as a prototype in developing internship approval information system software that is better, more efficient, and responsive to user needs at PT Telkom Akses.
Peran Green Accounting dan Woman On Board terhadap Business Performance pada Perusahaan Pertambangan yang Terdaftar di BEI Tahun 2018/2022
Authors: Parasdya Pandhu A  , Liya Mustahida  , Shofiatul Mila
Published: February 2025

This study aims to provide information on the extent to which Environmental Costs, Environmental Performance, Environmental Activities, and Women on Board influence Business Performance in mining companies listed on the Indonesia Stock Exchange from 2018 to 2022. This is a quantitative study using secondary data obtained from company annual reports and companies participating in PROPER (Program for Pollution Control, Evaluation, and Rating). The purposive sampling method was used to select the sample, resulting in 21 companies observed over a 5-year period. The dependent variable in this study is Business Performance, while the independent variables are Green Accounting (including Environmental Costs, Environmental Performance, and Environmental Activities) and Women on Board. The analysis was conducted using multiple linear regression with the EViews 12 software. The findings are environmental Activities had a positive and significant effect on Business Performance, Women on Board had a negative but insignificant effect on Business Performance, while Environmental Costs and Environmental Performance had a negative but insignificant effect on Business Performance.
A comparison of filters to remove speckle from radar data
Authors: Damdinsuren Amarsaikhan , Damdinsuren Enkhjargal , Gurjav Tsogzol
Published: February 2025

Regardless of the natural and climate conditions of a given area, it is possible to conduct mapping using radar remote sensing both during the day and at night. Compared to passive remote sensing, active or radar remote sensing emits short waves from an antenna at a slanting angle. Due to the coherent nature of radar waves, the waves scattered from the Earth’s objects close to each other often coincide, creating black and white spots on the image due to the phase difference of the waves. These speckles make interpretation and analysis of the image difficult. To reduce the speckle, various special filters are used. In this study, kernels of different sizes were chosen to compare the effects of the frost and gamma-map filters for speckle reduction on radar data. The results indicated that each method had its own advantages. The frost filter changed the pixel values of the original data relatively little, while the gamma-map filter changed the radiometric values of the original data more than the frost filter, but preserved the image texture better.
Радарын мэдээний толбыг арилгах шүүлтүүрүүдийг харьцуулж судалсан дүн
Тухайн газар нутгийн байгаль, цаг уурын байдлаас үл хамааран өдөр, шөнийн алинд ч радарын тандан судлалыг ашиглан зураглал үйлдэх боломжтой байдаг. Идэвхгүй тандан судлалтай харьцуулахад идэвхтэй буюу радарын тандан судлал нь, зураглал хийх зориулалтын антеннаас богино долгион цацахдаа ташуу өнцгөөр цацдаг. Ийм үед, радарын долгионы когерент шинж чанараас үүдэн бие, биедээ ойрхон объектуудаас сарнисан долгионууд өөр хоорондоо давхцах тохиолдлууд элбэг байдаг бөгөөд долгионы фазын ялгаанаас нь шалтгаалан дүрс зураг дээр хар, цагаан толбууд бий болдог. Эдгээр толбууд нь дүрс мэдээнд тайлал, дүн шинжилгээ хийхэд хүндрэл учруулах ба толбыг багасгах зорилгоор янз бүрийн тусгай зориулалтын шүүлтүүрүүдийг ашигладаг. Энэхүү судалгааны хүрээнд, толбыг багасгахад ашиглагддаг фрост, гамма-мап зэрэг шүүлтүүрийн радарын мэдээнд үзүүлэх нөлөөг харьцуулан судлах зорилгоор янз бүрийн хэмжээтэй кэрнэлийг сонгов. Үр дүнгээс харахад, арга бүр өөр өөрийн онцлогтой байсан бөгөөд фрост шүүлтүүрийн хувьд эх өгөгдлийн пикселийн утгуудыг харьцангуй бага өөрчилж байсан бол гамма-мап шүүлтүүрийн хувьд, фрост шүүлтүүртэй харьцуулахад эх мэдээний радиометрийн утгуудыг илүү их өөрчилж байсан боловч, зургийн текстурыг хадгалах чадвар нь илүү сайн байлаа.
Түлхүүр үгс: Радарын мэдээ, Толбо, Фрост, Гамма-мап, Шүүлтүүр
Utilização de instrumento para acompanhamento do processo formativo de aprendizagem em um currículo integrado
Authors: Mendonça Leonardo Teixeira de , Portella Marcia Bitar , Mendonça Kamylly Reina Carneiro de , Sefer Celina Claudia Israel , Lobato Edienny Viana Santos
Published: February 2025

A educação baseada em competências enfrenta desafios de avaliação eficaz, especialmente em currículos integrados dos cursos de medicina. A Avaliação Formativa se torna crucial nesses novos currículos. Realizou-se um estudo descritivo, longitudinal e prospectivo com a aplicação de instrumento validado para acompanhamento do processo de avaliação formativa em curso de medicina com currículo baseado em competências. O instrumento foi aplicado a 80 discentes em sessões tutoriais e 87 em habilidades clínicas. Observou-se alta confiabilidade (índice alpha de 0,940) e usabilidade (SUS de 91,9 para sessões tutoriais e 81,6 para habilidades clínicas). Houve correlação significativa entre diversos itens dos instrumentos para sessão tutorial e habilidades clínicas com a avaliação formativa (18 e 11 itens) e o desfecho acadêmico (10 itens), o que diferiu da correlação com a avaliação somativa (2 e 1 item). Os instrumentos demonstram potencial para o acompanhamento da avaliação formativa e identificação precoce de dificuldades acadêmicas e atitudinais dos discentes. Sua implementação pode melhorar desenvolvimento de competências dos estudantes, fornecendo insights importantes para a gestão acadêmica.
Capacitação profissional com internet das coisas: inteligência artificial na interpretação de ECGs para diagnóstico cardiológico em pacientes com HIV
Authors: Juca Marina Catunda Pinheiro , Pereira Filho Carlos Alexandre Leite , Linhares Maria Eduarda Borges , Guimarães Thiago Borba , Medeiros Melissa Soares
Published: February 2025

A integração de inteligência artificial (IA) à interpretação de eletrocardiogramas (ECGs) representa uma solução inovadora para melhorar o diagnóstico de doenças cardiovasculares, especialmente em ambientes com poucos especialistas. Este estudo explora a eficácia da IA na geração automatizada de laudos, capacitando profissionais e estudantes para otimizar a prática clínica e serviços de telemedicina. Foram avaliados 56 pacientes vivendo com HIV em uso de terapia antirretroviral (TARV), com idade média de 40,6 anos. A maioria era do sexo masculino (51), e 29 relataram praticar atividade física. Musculação foi a atividade mais frequente (18 pacientes). O índice de massa corpórea (IMC) médio foi de 26,5 kg/m², com 17 pacientes acima do peso e 12 obesos. Gordura visceral foi preocupante em 17 pacientes (15 em alerta e 2 em perigo). A massa muscular média foi de 45,7 kg, abaixo do ideal em 30 indivíduos, e 6 apresentaram quantidade de proteínas e água corporal abaixo do ideal. Quanto a análise do ECG detectamos que 50 pacientes apresentaram ritmo sinusal normal e 6 com alterações, tais como arritmias sinusais (2), sobrecarga ventricular esquerda (2) e elevação isolada do segmento ST (1). A frequência cardíaca média foi 77,8 bpm. Entre os pacientes avaliados, 13 apresentavam comorbidades: hipertensão arterial (4), dislipidemia (5) e diabetes mellitus (5). Relações entre CD4/CD8 <1 e alterações de ECG não foram estatisticamente significativas (p=0,69). A maioria dos pacientes com alterações de ECG estava acima do peso, mas sem relevância estatística (p=0,2). Esses achados destacam a necessidade de avaliação cardiovascular em pacientes com HIV. O aprendizado prático, aliado ao uso de casos clínicos reais como o apresentado neste estudo, pôde transformar o manejo de alterações cardiológicas em ambientes não especializados, promovendo detecção precoce, decisões informadas e encaminhamentos adequados.
Prevalência e fatores associados à sífilis gestacional no contexto da pandemia de Covid-19
Authors: Lopes Wanda Carvalho , Vieira Flaviana Vely Mendonça , Cavalcante Agueda Maria Ruiz Zimmer , Guimarães Janaína Valadares
Published: February 2025

O artigo tem como objetivo analisar a prevalência de sífilis gestacional e os fatores associados durante os períodos pré-pandêmico e pandêmico da COVID-19. Estudo transversal realizado em um hospital localizado na região central do Brasil analisou dados de gestantes com sífilis entre 2018 e 2022, considerando períodos pré-pandêmico e pandêmico. A prevalência de sífilis gestacional foi uma variável dependente, enquanto as independentes incluíram a pandemia, fatores sociodemográficos e acesso aos serviços de saúde. Os resultados mostraram que 62,2% das gestantes não tinham ocupação remunerada e 55,6% estavam sem companheiro. Além disso, 16,5% não realizaram o pré-natal e 54,8% fizeram seis ou menos consultas. A coinfecção por HIV foi observada em 3,1% das gestantes, e 51% relataram gestações anteriores, com uma taxa de aborto de 16,1%. A prevalência de sífilis gestacional aumentou de 0,80% no período pré-pandêmico para 1,67% durante a pandemia, representando um incremento de 108,75%. Durante a pandemia, houve uma diminuição no número de partos normais (p = 0,035; Exp(B) = 0,8; IC 95%: 0,69 - 0,99). A prevalência do HIV foi maior no período pré-pandêmico, com risco 153% maior para gestantes nesse período (p = 0,009; Exp(B) = 2,5; IC 95%: 1,26 - 5,00). Gestantes com sífilis no período pré-pandêmico demonstraram menor propensão a ter ocupação remunerada (p = 0,038; Exp(B) = 0,83; IC 95%: 0,71 - 0,99). O estudo indicou um aumento da prevalência de sífilis gestacional durante a pandemia, com diminuição significativa do número de partos normais.
Aprendizagem com solução de problemas reais para aprimoramento discente na injunção socioprofissional
Authors: Costa Jean Carlos Lourenço , Santos David Felipe Alves , Oliveira Márcia Regina de , Moura Roque Antônio de
Published: February 2025

No processo ensino-aprendizagem há duas modalidades de metodologias mais praticadas. A tradicional e a metodologia ativa. A metodologia ativa, conceitualmente, coloca os discentes no papel principal para a construção do conhecimento. Saber criar, desenvolver e implementar junto aos clientes se completa com a operacionalização e entendimento de suas dores. O objetivo deste relato, visa entre aos vários benefícios da metodologia ativa, a aprendizagem baseada em problemas que se tornam projetos e permite que os alunos em time, trabalhem na solução final. O método utilizado contou com uma revisão bibliométrica e abordagens dos diferentes canais de aprendizagem dos alunos. O resultado demonstrou que com um planejamento e atualização dos recursos, é possível ensinar, como por exemplo, os conceitos teóricos na prática. Conclui-se que aprender fazendo estimula e prepara os alunos, além de validar o conhecimento tecnológico e balancear as competências técnicas e comportamentais, como por exemplo, desenvolver a sociabilidade e a comunicação para ser aceito pelo seu futuro time de trabalho.
IMPACT OF REDUCING THE NUMBER OF SOLID FUEL DEVICES IN KRAKOW IN 2012–2018 ON AIR QUALITY
Authors: Kaszowski Kamil , Godłowska Jolanta , Kaszowski Wiesław
Published: February 2025

The study evaluates the impact of reducing emissions from solid-fuel heating devices on PM10concentrations in Kraków, using data from 2012, 2015, and 2018. The AROME/MM5/CALMET/CALPUFF modelling system (Scire et al. 2000a,b) was employed to estimate PM10 concentrationsresulting solely from use of solid-fuel furnaces and boiler houses under two distinct meteorologicalscenarios — one representing a relatively cold year (2012) and another a relatively warm year (2018).The modelling was performed on a high-resolution 100 m grid and generated estimates of daily andannual average PM10 concentrations, as well as maximum daily values. By comparing the results forthe three years, the ecological effect defined as the reduction in annual average PM10 concentrationsover the periods 2012–2015, 2015–2018, and 2012–2018 was quantified. Notably, eliminating solidfuelheating sources between 2015 and 2018 produced a fourfold reduction in area-averaged annualPM10 concentrations from 25.8 μg/m in 2012 to 5.6 μg/m in 2018 in the cold meteorological yearCY (2012) and from 22.8 μg/m in 2012 to 5 μg/m in 2018 year in the warm meteorological year WY(2018). Moreover, all daily averages fell below 27 μg/m, and the maximum daily PM10 concentrationsexceeded on 10% of the city area — which reached 254 μg/m (170 μg/m in a warm year) in 2015— declined to 66 μg/m (44 μg/m in a warm year) by 2018 in a cold meteorological scenario. Theseresults demonstrate that targeted measures to reduce solid-fuel emissions can substantially improveurban air quality.
ESSAYS ON THE CONSTITUTIONS OF PERU
Authors: Espinoza Coila Michael , Espinoza Vargas Walter , Pari Huamán Jamel Lino , Machaca Centeno Jhon Emerson , Cansaya Anccori Frank Eudes , Chama Mamani Fiorela , Cuno Cruz Lilian Yesminia , Chiccalla Merma Iván Americo , Sosa Vidal Jorge Luis , Nina Quispe Jhon Royer , Quispe Villasante Roel Guner , Huarsaya Tito Mery Shakira , Apaza Grande Ulises , Colorado Salcedo Carmen Edith , Barrionuevo Quispe Ronaldo Alex , Uscamayta Huamani Jefferson , Sumi Turpo Mayumi Sindy , Sejje Ito Yulisa Lizeth , Challa Apaza Gabriela Blanca , Quispe Condo Lesly Esmeralda , Vilca Flores Roxana , Estrada Cerpa Lucero Milagros , Atamari Lima Dayana Luciana , Charaja Vilca Diana Yomira , Coila Quispe Lizbeth Rocio , Aza Mayta Devyani Rudy , Calisaya Serrano Yudith Marilyn , Supo Arqque Angie , Chagua Mucho Milagros Stefany , Torres Huanca Anibal , Ramos Apaza Victor Hugo Yachauru , Mamani Quispe Alex , Huayta Alvarez Fredy Humberto , Mamani Luque Eduardo , Argott Ochoa Julio Adryano , Lanza Sanchez Edith , Lope Miranda Eliana , Aroquipa Aguilar Fendy Angelica , Rodriguez Quispe Katherine Jhasmin , Lucana Ccallo Karen Daybi , Turpo Apaza Rocio Gimena
Published: February 2025

Estudios jurídicos, históricos y comparativos sobre algunas constituciones del Perú.
Analyzing the Effectiveness of NAPTIP’s Enforcement Mechanisms in Combating Human Trafficking in Nigeria
Authors: Bello Ibrahim S. , Okonjo Funke A.
Published: February 2025

This study evaluates the effectiveness of the National Agency for the Prohibition of Trafficking in Persons (NAPTIP) in combating human trafficking in Nigeria. Through case studies and comparative analysis, the paper examines the agency’s enforcement mechanisms, including rescues, prosecutions, and victim reintegration efforts. Key challenges, such as resource constraints, judicial delays, and gaps in victim support, are identified and contextualized within Nigeria’s socio-political environment. A comparative assessment with similar agencies in Ghana and South Africa highlights best practices, such as leveraging technology and community reintegration programs, to enhance anti-trafficking efforts. The findings underscore the need for improved funding, operational efficiency, and international collaboration to sustain and scale NAPTIP’s impact on human trafficking networks.