bluuebunny/crossref_metadata_2025_split huggingface dataset:
Students’ Opinion on The Use of The Anatomage Table In Anatomy Learning At The University Of Rwanda
Authors: Archibong Victor Bassey , Olorunnado. Samson , Mohammed. Abdullahi , Okesina. Akeem , Ndahimana Paul , Habumuremyi Schadrack , Niyibigira Celestin , Yusufu Methode , Benimana. Darius , Gashegu Julien 
Published: February 2025

Abstract

Introduction: Anatomy is a major course taken by medical and dental surgery students in their preclinical year, serving as the foundation for patient care in clinical practice. Many preclinical students find anatomy challenging and abstract, highlighting the need for educators to adopt innovative teaching methods, such as utilizing 3D technologies like the Anatomage table. This study aimed to assess the student’s opinion on the use of the anatomage table technology on anatomy learning at the University of Rwanda.
Methodology: This cross-sectional study involved 118 first-year preclinical students at the Huye campus of the University of Rwanda. After a month of instruction on selected topics in the Human Anatomy II module (focusing on the trunk, pelvis, and perineum), a Google questionnaire was distributed. Students participated in 32 contact hours, including lectures and practical sessions, prior to completing the questionnaires. The reliability of the questions was assessed using Cronbach's Alpha, and responses were measured on a 5-point Likert scale (ranging from 5 for "strongly agree" to 1 for "strongly disagree"). Data were analyzed descriptively using Microsoft Excel and SPSS version 21, with a significance level set at P≤0.05.
Results: The Anatomage table significantly enhanced the understanding of the topics along with dissection (P≤0.05), visualization of different parts of the human body (P≤0.05), and the understanding of the anatomical relationships (P≤0.05).
Conclusion: Anatomage table was helpful in facilitating understanding of the topics and relationships, as well as visualization of anatomical structures.
Laser surface modification of Al 2 O 3 / CYSZ functionally graded TBC against CMAS and hot corrosion damage
Authors: Kirbiyik Fatih 
Published: February 2025

Abstract

This study investigates the effects of laser surface modification on the corrosion resistance and thermal performance of thermal barrier coatings (TBCs) exposed to calcium-magnesium-aluminosilicate (CMAS) and hot corrosion environments. Two TBC designs, single-layered ceria-yttria-stabilized zirconia (CYSZ) and a functionally graded Al2O3/CYSZ (FG) structure, were investigated through thermal gradient and thermal cycling tests at 1200 °C. Laser surface modification significantly improved the microstructure and mechanical properties, including a twofold increase in microhardness for CYSZ and a fourfold increase for the FG design. The modified surfaces showed improved resistance to CMAS penetration and hot corrosion salts, with reduced tetragonal to monoclinic phase transformation and improved phase stability. Microstructural analysis revealed stress-induced delamination in CYSZ due to CMAS infiltration, while FG TBCs exhibited better performance with minimal coating failure and improved thermal expansion compatibility. After modification, both designs maintained high durability, withstanding up to 100 thermal cycles without significant delamination. The results highlight the superior corrosion resistance and thermal stability of laser surface modified FG TBCs, demonstrating their potential for extended life in high temperature applications.
Long-term adherence and health-related quality of life outcomes in kidney transplant recipients
Authors: Cetin Yesim , Ordin Yaprak Sarıgol , Kankaya Eda Ayten 
Published: February 2025

Abstract

Background: Kidney transplantation (KTx) is the optimal treatment for end-stage renal failure, improving survival and quality of life. However, graft and patient survival after KTx has decreased gradually over ten years.
Aim: This study aimed to evaluate the long-term adaptation behavior and quality of life in KTx patients.
Methods: This descriptive and correlational study included 101 KTx patients who underwent transplantation between 2003 and 2013 and had a follow-up period of at least ten years. Data were collected using the Basel Assessment of Adherence to Immunosuppressive Medications Scale (BAASIS©), the Skin Cancer and Sun Protection Behavior Questionnaire, the Adherence to Early Cancer Detection Recommendations Questionnaire, the Adherence to Clinical Follow-up Appointments Questionnaire, and the Short Form-36 (SF-36) Quality of Life Scale.
Results: The mean age of KTx patients (n=101) was 49.90±11.03 years, with a mean post-transplant duration of 16.48±5.86 years. Non-adherence to immunosuppressive medication was observed in 40.59%, while 67.35% adhered to outpatient follow-up appointments. Adherence to cancer screening recommendations was 3.96%. Employed patients had lower medication adherence (MA) (X²=5.188, p<0.05). Skin cancer and sun protection behaviors were positively correlated with age, male gender, single status, employment, and higher education level. Adherence to outpatient visits decreased with time post-transplant (t=-3.48; p=0.001) but increased with higher MA (X²=8.337, p<0.005). Older age (β=-0.312; p=0.002), lower education (KW=11.815; p=0.003), and unemployment (U=380.00; p<0.001) were negatively associated with the physical health dimension of quality of life.
Conclusions:Employed patients exhibited lower adherence to immunosuppressive medication. Sociodemographic factors, including younger age, male gender, single status, higher education level, and employment, were linked to lower adherence to skin cancer and sun protection measures. Adherence to outpatient follow-ups declined with increasing time post-transplantation. Furthermore, older age, lower education level, and unemployment negatively impacted the physical dimension of quality of life. Long-term KTx patients should receive comprehensive education on all cancer screening recommendations, with a particular emphasis on skin cancer prevention strategies.
Transcriptome Insights into Protective Mechanisms of Ferroptosis Inhibition in Aortic Dissection
Authors: Shih Chun-Che , Chen Chi-Yu , Chuu Chih-Pin , Huang Chun-Yang , Lu Chia-Jung , Lu Hsin-Ying 
Published: February 2025

Abstract

Aortic dissection (AD) is a life-threatening vascular condition with limited pharmacological options. This study investigated Ferrostatin-1 (Fer-1), a ferroptosis inhibitor, in a BAPN/Ang-II-induced mouse model of AD, revealing significant therapeutic potential. Fer-1 significantly reduced AD incidence and mortality by preserving aortic wall integrity. RNA sequencing identified 922 differentially expressed genes, with 416 upregulated and 506 downregulated. Bioinformatics analysis revealed that Fer-1 modulates key regulators, such as MEF2C and KDM5A, impacting immune responses, oxidative stress, apoptosis, and lipid metabolism. Additionally, Fer-1 alters miRNA expression, with the upregulation of miR-361-5p and downregulation of miR-3151-5p, targeting pathways involved in inflammation, oxidative stress, and smooth muscle cell (SMC) phenotypic stability. Functional pathway analysis highlighted the inhibition of actin cytoskeleton, ILK, and IL-17 signaling, essential for SMC differentiation and extracellular matrix remodeling. Gene interaction network analysis identified 21 central molecules, including CXCR3, ACACA, and BPGM, associated with lipid metabolism, inflammation, and vascular remodeling. These findings demonstrate Fer-1's potential to mitigate ferroptosis and modulate inflammation, offering a comprehensive protective mechanism against AD and potentially other ferroptosis-driven vascular diseases.
Prediksi Financial Distress Dengan Model Altman Z”-Score, Zmijewski X-Score, Springate S-Score, Dan Grover G-Score
Authors: Hadityo Farras Shaesardy , Indrawati Nur Khusniyah 
Published: February 2025

Financial distress is a critical phase preceding bankruptcy, often stemming from a range of external and internal factors. This study aims to forecast financial distress within the sub-sector of department store companies listed on the Indonesia Stock Exchange (IDX) during the period of 2019 to 2021. Four prediction models, namely Altman Z-Score, Zmijewski X-Score, Springate S-Score, and Grover G-Score, were employed for this purpose. This research adopts a descriptive approach with a quantitative methodology. Secondary data extracted from the financial reports of the companies serves as the primary data source. The findings of this study underscore the efficacy of each employed model in predicting financial distress, revealing divergent outcomes in the forecasted instances of financial distress across the models. The Altman model identifies one company undergoing financial distress, Zmijewski model highlights two such companies, Springate model anticipates distress in three companies, and Grover model signals distress in two companies. This research underscores that each model yields distinct outcomes in predicting financial distress among department store sub-sector companies in Indonesia, due to disparities in the weighting of prediction model coefficients.

Abstrak
Financial distress merupakan salah satu tahap sebelum terjadinya kebangkrutan. Financial distress dapat disebabkan oleh berbagai faktor eksternal maupun internal. Penelitian ini bertujuan untuk memprediksi financial distress pada perusahaan sub-sektor department store yang terdaftar di Bursa Efek Indonesia (BEI) selama periode 2019 - 2021. Empat model prediksi digunakan, yaitu Altman Z-Score, Zmijewski X-Score, Springate S-Score, dan Grover G-Score. Jenis penelitian ini adalah penelitian deskriptif dengan pendekatan kuantitatif. Data sekunder berupa laporan keuangan perusahaan menjadi sumber data dalam penelitian ini. Hasil penelitian menunjukkan bahwa setiap model yang digunakan mampu memprediksi financial distress dengan adanya perbedaan dalam prediksi financial distress perusahaan antar model. Model Altman menunjukkan satu perusahaan yang mengalami financial distress, Zmijewski menunjukkan dua perusahaan, Springate menunjukkan tiga perusahaan, dan Grover menunjukkan dua perusahaan yang mengalami financial distress. Temuan dari penelitian ini menunjukkan bahwa setiap model memiliki hasil yang berbeda dalam memprediksi financial distress pada perusahaan sub-sektor department store di Indonesia akibat perbedaan penitikberatan koefisien model prediksi.
Faktor Yang Mempengaruhi Minat Investasi Mahasiswa Di Pasar Modal
Authors: Putri Rizki Ariendra Ammellia , Ratnawati Kusuma 
Published: February 2025

The objective of this research is to identify the effects of financial literacy and technological advancement on the intention of university students to invest in capital markets. Using saturated sampling, all 53 members of the population were involved as the respondents. The data of this explanatory research was harvested via Likert-scaled questionnaires and was analyzed using Structural Equation Modeling (SEM) in SmartPLS 4.0. This study finds that (1) financial literacy positively and significantly influences university students’ intention to invest in capital markets and that (2) technological advancement positively and significantly affects the students’ intention to make investment in capital markets. These findings indicate that sufficient financial literacy and technological advancements that support accesses to information increase the intention of university students to invest in capital markets.

Abstrak
Penelitian ini bertujuan untuk mengetahui pengaruh literasi keuangan dan kemajuan teknologi terhadap minat investasi mahasiswa di pasar modal. Penelitian ini merupakan explanatory research. Teknik pengumpulan data yang digunakan menggunakan metode sampel jenuh. Sampel yang digunakan merupakan seluruh populasi yang berjumlah 53 mahasiswa yang dianalisis menggunakan Structural Equation Model (SEM) dengan software SmartPLS 4.0. Metode pengumpulan data menggunakan kuesioner yang diukur dengan skala likert. Hasil penelitian menujukkan bahwa: (1) Terdapat pengaruh positif dan signifikan literasi keuangan terhadap minat investasi mahasiswa di pasar modal (2) Terdapat pengaruh positif dan signifikan kemajuan teknologi terhadap minat investasi mahasiswa di pasar modal. Hal ini menunjukkan bahwa dengan literasi keuangan yang memadai serta kemajuan teknologi yang mendukung akses informasi akan semakin meningkatkan minat mahasiswa di pasar modal.
Prediksi Financial Distress Dengan Model Altman Z- Score Dan Model Zmijewski X-Score Selama Pandemi Covid-19
Authors: Cintyarani Safira , Indrawati Nur Khusniyah 
Published: February 2025

The occurrence of financial distress within a company is influenced by both internal and external factors. Within the context of this study, the external factor is the Covid- 19 pandemic. This research aims to assess the potential of financial distress through the application of the Altman Z”-Score and Zmijewski X-Score models during the Covid- 19 pandemic. This study follows a quantitative descriptive approach. Within the framework of this research, secondary data derived from the financial reports of ten transportation companies listed on the Indonesian Stock Exchange during the years 2020 to 2022 were utilized. The research highlights disparities between Altman and Zmijewski models in predicting financial distress. The utilization of the Altman model emphasizes on the profitability of the firms, whereas the Zmijewski model emphasizes on solvency of the firms. The results of the bankruptcy prediction, particularly the forecast of financial distress utilizing projected financial data for the year 2023, contribute as preliminary considerations in the decision-making process that will steer the company's future prospects, enabling early actions to be taken to rectify the root causes of deteriorating financial conditions within the companies before the eventuality of bankruptcy ensues.

Abstrak
Terjadinya financial distress pada suatu perusahaan dipengaruhi oleh faktor internal dan eksternal. Dalam penelitian ini faktor eksternal yang terjadi adalah pandemi Covid- 19. Penelitian ini bertujuan untuk mengetahui adanya potensi financial distress dengan menggunakan model Altman Z”-Score dan model Zmijewski X-Score selama pandemi Covid-19. Jenis penelitian ini adalah deskriptif kuantitatif. Dalam penelitian ini, data sekunder yang digunakan adalah laporan keuangan perusahaan. Objek penelitian ini yaitu sepuluh perusahaan subsektor transportasi yang terdaftar di Bursa Efek Indonesia tahun 2020-2022. Berdasarkan pembahasan, terdapat perbedaan hasil prediksi financial distress antara model Altman dan model Zmijewski. Penggunaan model Altman menekankan pada profitabilitas perusahaan sedangkan pada model Zmijewski menekankan pada solvabilitas. Hasil prediksi kebangkrutan yang dilakukan pada penelitian ini khususnya prediksi financial distress menggunakan laporan keuangan yang telah diproyeksikan untuk tahun 2023, dapat dijadikan salah satu pertimbangan awal dalam mengambil keputusan yang akan menentukan arah masa depan perusahaan, sehingga memungkinkan dilakukan tindakan yang lebih awal untuk memperbaiki penyebab terjadinya penurunan kondisi keuangan pada perusahaan sebelum terjadinya kebangkrutan.
Tablet- and Group-Based Multicomponent Cognitive Stimulation for Older Adults With Mild Cognitive Impairment: Single-Group Pilot Study and Protocol for Randomized Controlled Trial
Authors: Jornkokgoud Khanitin , Makmee Pattrawadee , Wongupparaj Peera , Grecucci Alessandro 
Published: February 2025

Background
Cognitive stimulation therapy is a group-based psychological treatment for people with dementia as well as those with mild cognitive impairment (MCI) and is shown to improve both cognition and quality of life. Previous studies have indicated the potential to benefit from the use of technological devices in group interventions.

Objective
The pilot study aimed to assess the effectiveness of a tablet- and group-based multicomponent cognitive stimulation therapy (MCST) for enhancing cognitive functions among older adults with MCI. The following study aims to report the protocol for a trial evaluating whether the MCST program is affecting individuals with MCI.

Methods
In the first study, 30 individuals with MCI participated in 10 sessions of the tablet- and group-based MCST group. A subsequent protocol study will compare tablet-based MCST, tablet-based cognitive stimulation therapy, and control groups among 93 individuals with MCI. All participants will be recruited from older adults living in semiurban communities. Intervention groups will be facilitated by trained therapists, nurses, or psychologists. The study will be assessed by a pre- and posttest evaluation, including computer-based neuropsychological tests and electroencephalography assessment. The effects of several indicators, such as cognitive functions, behavioral, and emotional, will be analyzed as being indexed by their neurophysiological data.

Results
The pilot study showed significant cognitive improvement (P<.001), reduced depression (P=.002), and decreased state anxiety (P=.001) post intervention. Quality of life remained unchanged (P=.18). The randomized controlled trial study was funded in March 2023. Enrolling began in August 2023 and was completed in December 2023. The data analysis was started, and the results are expected to be published by mid- to late-2025.

Conclusions
The study is the first tablet-group–based MCST for older adults with MCI in middle-income countries. It will provide deeper insight into participants’ neuropsychological data, thus identifying specific processes underlying physiologically measured positive outcomes. Furthermore, the project will deliver solid and integrative results to mental health professionals in terms of knowledge and guidance for implementing the tablet- and group-based MCST in people with MCI.

Trial Registration
Thai Clinical Trials Registry TCTR20230829004; https://tinyurl.com/3wuaue3e

International Registered Report Identifier (IRRID)
DERR1-10.2196/64465
Caracterización del incremento de la irradiación solar debido a un seguidor solar de dos ejes
Authors: Urbano Michael , García Daniel , Murillo Sebastián , Osma-Pinto German 
Published: February 2025

El seguimiento solar dinámico (1 o 2 ejes) permite incrementar el rendimiento de proyectos fotovoltaicos. Aunque existen estudios para la zona tropical, su cantidad es moderada e infortunadamente la mayoría de estos realizan análisis entre 1 y 5 días y con intervalos de medición de 30 minutos o más. Esta investigación tuvo como objetivo caracterizar los incrementos en la irradiancia (cada minuto) e irradiación (diaria) solar incidente logrados por un seguidor de dos ejes ubicado en una edificación universitaria (Bucaramanga, Colombia), para una ventana de 42 días entre diciembre de 2023 y febrero de 2024. La metodología consistió en el ajuste de los ángulos de inclinación y orientación con pasos de 30°, la monitorización cada minuto de las irradiancias solares horizontal e incidente sobre un panel fotovoltaico y la cuantificación de las ganancias netas de irradiancia e irradiación. Los resultados mostraron un beneficio promedio diario de 916.1 Wh/m2∙día (17.3 %). Tal caracterización se realizó por mes y rango de irradiación solar horizontal ( ). El beneficio en diciembre ascendió a 25.7 %, en enero a 19.5 % y en febrero solo a 13.2 %. Finalmente, se concluye que los mayores beneficios promedio se dan para ≥ 6 kWh/m2 día (20.3 %) y los menores para < 4 kWh/m2 día (7.4 %), con pérdidas de hasta 6.75 % para = 1.3-1.5 kWh/m2∙día. La ganancia horaria expone un comportamiento convexo porque los mayores beneficios se dan entre 7 a.m. y 10 a.m. y de 3 p.m. a 5 p.m., mientras se reducen sustancialmente entre 11 a.m. y 2 p.m. Adicionalmente, se llevó a cabo un análisis de correlación a partir del coeficiente de determinación (R2) para establecer una posible manera de estimar la irradiancia e irradiación solar incidentes sobre la superficie de trabajo de seguidor solar.
Modelación y simulación computacional de una trituradora de biomasa forestal en Ecuador
Authors: González Juan Elías , Salazar-Álvarez Édgar Gualberto , Yánez Orozco Daniel , Casco Guerrero Erika Clara , Zambrano Vera David , Morillo Robles Campo Elías , Enríquez Ujukam Thalía Janeth 
Published: February 2025

Actualmente, los diseños asistidos por ordenador (CAD, por sus siglas en inglés) permiten crear, diseñar, simular y analizar equipos mecánicos en el sector industrial. A pesar de estas tecnologías, faltan equipos para procesar biomasas forestales en los laboratorios de las universidades Ecuatorianas. Esta investigación tuvo como objetivo desarrollar un modelo de simulación digital usando herramientas informáticas para la obtención de un triturador de biomasa forestal para laboratorios. Para ello, se empleó la metodología del software Autodesk Inventor, integrando los datos del diseño mecánico, así como la modelación y simulación para el análisis computacional de la estructura. Los resultados mostraron que el factor de seguridad del rodamiento, las cuchillas cortantes en un ángulo de 45º, una tolva de 90º y una malla de 2 mm arrojaron 0.9 microlitros y 15 microlitros requeridos mínimo y máximo, respectivamente, para lubricar y evitar el endurecimiento de la masa del eje de trabajo de las cuchillas. Se obtuvieron partículas tipo serrín de 75-300 μm, alcanzando una eficiencia del 95 % del corte de rodamiento, con una elasticidad máxima del eje de 230.90 MPa y un voltaje de 1-3 V. En conclusión, el análisis computacional brinda una confiabilidad del 99 %, con variación del 6.59 %, obteniendo dos modelos matemáticos que analizan la eficiencia y el triturado de biomasa forestal con un rendimiento del 62 % y una producción de 240 g/min, asegurando que el equipo procese biomasa para la producción de energía renovable en la Amazonía ecuatoriana.
Diabetes gestacional. Una revisión sistemática
Authors: Robles Granda Eliana , Domo Tomalá Doris Sherlene , Chango Ramírez Ángel Gabriel , Estrada García Lady Dalila , Yugcha Andino Germania Elizabeth , Calderón León María Fernanda 
Published: February 2025

Introducción: la diabetes gestacional, enfermedad frecuente en el embarazo, cuya prevalencia aumenta en uno de cada seis nacidos vivos en todo el mundo.
Materiales y métodos: se elaboró una revisión sistemática con la declaración PRISMA 2020.
Resultados: metformina fue superior a la insulina en eventos hipoglucémicos. La eficacia, seguridad de la metformina sola o como terapia complementaria a la insulina en el embarazo con diabetes mellitus gestacional con diabetes mellitus tipo 2 redujo el aumento de peso materno , hipoglucemia materna , hipoglucemia neonatal, ingreso a la unidad de cuidados intensivos neonatales y reducción del peso al nacer ≥4000 g.
Conclusiones: la diabetes gestacional se relaciona con morbilidad perinatal, un mayor riesgo de diabetes y enfermedades cardiovasculares en la madre a futuro y predisposición a obesidad infantil en la descendencia. La metformina reduce el riesgo de ciertos resultados maternos y neonatales en comparación con la terapia con insulina.
Dirofilariasis of the scrotum: a clinical case from Bulgaria
Authors: Popova G. , Vuchev D. , Markov D. , Poryazova E. 
Published: February 2025

Summary
Dirofilariasis is a zoonotic infection that humans acquire by the bite of infected mosquitoes. The male reproductive system is relatively rare affected by this disease. We presented a case of dirofilariasis of the scrotum from Bulgaria. The patient noticed a small painless nodule in his scrotum with no other pathological findings. The tumor-like lesion was surgically removed. Dirofilariasis was not suspected before this procedure, but the diagnosis was made on histological examination of the extracted tissue. Surgical removal of the helminth is the radical treatment of this disease. Dirofilariasis of the scrotum has a good prognosis as patients fully recover after the extraction of the parasite.