bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mentoria de liderança: um estudo de caso com base nos princípios e práticas da psicologia positiva
Authors: Almeida Bressan Tamires , de Oliveira Parazzi Lúcia Helena , Geremia Hellen Cristine 
Published: December 2024

Diante da crescente responsabilidade e pressão inerentes às demandas do ambiente corporativo, os líderes desempenham um papel crucial, impelindo-os a aprimorar suas habilidades e estratégias de liderança para enfrentar desafios. Este estudo de caso foi desenvolvido a partir da realização de um programa de mentoria com uma liderança de uma empresa de confecção de pequeno porte no sul de Santa Catarina, que tinha o objetivo de desenvolver maior segurança em seu posicionamento e tomada de decisões. O programa de mentoria foi realizado em seis sessões onde aplicaram-se técnicas relacionadas às virtudes e forças de caráter e ao desenvolvimento da autoeficácia. Por meio do feedback da participante, o programa foi avaliado como eficaz, resultando em um aumento na percepção de autoeficácia, considerando as forças de liderança e de bravura.
Palavras-Chave: Virtudes e forças de caráter. Autoeficácia. liderança. Mentoria.

Abstract
Faced with the increasing responsibility and pressure inherent in the demands of the corporate environment, leaders play a crucial role, compelling them to enhance their skills and leadership strategies to meet challenges. This case study was developed from a mentoring program conducted with a leader from a small garment company in southern Santa Catarina, aiming to develop greater confidence in her positioning and decision-making. The mentoring program consisted of six sessions in which techniques related to virtues and character strengths and the development of self-efficacy were applied. Through the participant's feedback, the program was evaluated as effective, resulting in an increased perception of self-efficacy, particularly considering the strengths of leadership and bravery.
Keywords: Virtues and character strengths. Self-efficacy. Leadership. Mentoring.
Pengaruh Getaran Mekanik dari Trafo Getar terhadap Kinerja Alat Penimbang Bahan Glasir
Authors: Siradjuddin Indrazno , Faizal Elka , Gillang Al Azhar  , Aulia Nurwicaksana Wahyu , Riskitasari Septyana , Rahman Hidayat Arief , Dwi Risdhayanti Anindya 
Published: December 2024

Efisiensi produksi dalam industri keramik telah menjadi fokus utama dalam beberapa tahun terakhir. Salah satu tahap krusial dalam proses produksi keramik adalah pencampuran bahan glasir, yang berdampak signifikan terhadap kualitas warna dan tekstur hasil akhir keramik. Penelitian ini bertujuan untuk meningkatkan efisiensi dan akurasi dalam proses pencampuran bahan glasir di industri keramik melalui penggunaan trafo getar sebagai penggerak mekanik. Trafo getar digunakan untuk menghasilkan getaran dengan frekuensi tinggi yang membantu mendistribusikan bahan secara lebih merata, sehingga warna dan tekstur keramik menjadi lebih konsisten. Sistem pengendali yang diterapkan menggunakan dimmer untuk mengatur sudut picu yang mempengaruhi frekuensi getaran dan arus yang dialirkan ke trafo. Pengujian dilakukan dengan variasi sudut picu untuk mengukur pengaruhnya terhadap kecepatan getaran dan arus listrik. Hasil penelitian menunjukkan bahwa peningkatan sudut picu berbanding lurus dengan kenaikan frekuensi dan arus, yang berimplikasi pada variasi kecepatan getaran dari sangat lambat hingga sangat cepat. Metode ini diharapkan dapat menjadi solusi inovatif untuk meningkatkan kualitas dan efisiensi dalam produksi keramik. Dibandingkan metode manual, alat ini meningkatkan efisiensi waktu hingga 40% dan mengurangi biaya operasional sebesar 30% dalam jangka panjang.
Effect of an α-calcium sulfate hemihydrate/treated dentin matrix composite to regenerate bone in critically sized SD rat calvarial defects
Authors: Wang Mengmeng , Li Bingyan , Li Wenshuai , Hu Zelong , Fu Haojie , Li Rui 
Published: December 2024

Introductionα-Calcium sulfate hemihydrate (α-CSH) is a widely used artificial bone graft material, but it suffers from rapid deterioration and limited osteoinductivity. This study aims to develop composite cements by combining treated dentin matrix (TDM) with α-CSH to enhance osteogenic properties for the healing of bone deformities.MethodsThe composite cements were prepared by mixing treated dentin matrix (TDM) with α-calcium sulfate hemihydrate (α-CSH) and characterized for their mechanical, morphological, and chemical properties using a universal mechanical testing machine, scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier-transform infrared (FTIR) spectroscopy. The biological performance was assessed by measuring osteoblast proliferation using the CCK-8 test and evaluating new bone formation in a calvarial bone defect model in rats.ResultsThe compressive strength of the TDM/α-CSH cements decreased with increasing TDM mass ratio, while SEM analysis revealed a distinct three-dimensional porous network structure and increased surface roughness upon thorough mixing. XRD and FTIR studies confirmed the physical mixture of the two materials without phase changes. The TDM/α-CSH composites significantly stimulated osteoblast proliferation, which was dependent on the TDM content, and demonstrated superior enhancement in new bone formation as confirmed by X-ray examination and micro-CT analysis.DiscussionThe findings suggest that TDM/α-CSH composite cements have promising potential as an alternative for repairing bone defects due to their improved mechanical properties, osteoblast proliferation, and enhanced new bone formation in vivo.ConclusionTDM/α-CSH composite cements show potential as a novel bone graft material, offering advantages in terms of mechanical strength, osteoconductivity, and osteoinductivity, making them a viable option for bone repair applications.
Status of diabetes mellitus in different regions of KSA and update on its management
Authors: AL-Rasheedi Mabrouk , Alhazmi Yasir , AlDaiji Lamees Abdullah , AlDaiji Lamya Abdullah , Mobarki Fatimah Ismail , Almuhaysini Khuzama Mohammed , Alshammari Jawza Salem , Almistadi Nouf Awadh , Yoldash Saeed Adnan , Almaqwashi Nouf , Al Abdulgader Rawabi Saleh , Mashyakhi Mohammed Yahya , Alamro Sadin , Walbi Ismail A. , Haider Khawaja Husnain 
Published: December 2024

BackgroundComplications of diabetes and its associated comorbidities can cause rapid progression of type II diabetes mellitus (T2DM). It comes at high costs and affects a patient’s quality of life. We aim to assess T2DM in KSA, including the demographics, medications, complications, and comorbidities, as it remains an integral part of Vision 2030.MethodsObservational retrospective study was designed spanning five administrative regions of KSA. A total of 638 patients’ records were randomly selected from general hospitals and diabetes centers from 2017 to 2020, and the collected were statistically analyzed.ResultsMost (77%) selected patients had uncontrolled diabetes, showing a statistically significant correlation between regions and diabetes control. The Northern, Central, and Southern regions had the highest uncontrolled percentage with less than 20% control, while Western and Eastern regions’ control percentages were around 40% of subjects. Eighty percent of the uncontrolled BP patients had uncontrolled diabetes contrasting the 68% of the BP-controlled patients. Biguanides, DPP-4 inhibitors, GLP-1 agonists, Insulin, and SGLT-2 inhibitors are the most common diabetes medications. Metformin was the most prescribed in all regions, followed by DPP4. Results showed that patients used one to four non-diabetes drugs on average. Dispensing of vitamin B complex and statins were higher in diabetes centers than in hospitals. Retinopathy and peripheral neuropathy were the most common complications, while hypertension and ASCVD were the most common comorbidities.ConclusionResults showed a poor glycemic control situation in the kingdom that necessitates implementing stricter measures to hinder disease progression and reduce complications and comorbidities. Increasing awareness, training, and monitoring programs with larger sample sizes and broader distribution is highly recommended nationally.
Prognostic value of the derived inflammatory marker SIRI in postmenopausal women with coronary artery disease
Authors: Yang Pengli , Xue Rui , Wei Yuhang , Cao Chenxi , Yu Songcheng , Peng Shanling , Zhang Wenjing , Wang Yunzhe , Zheng Yingying , Liu Gangqiong 
Published: December 2024

ObjectiveThe aim of this study was to explore the predictive value of the Systemic Inflammatory Response Index (SIRI) for the prognosis of older postmenopausal women with coronary artery disease (CAD).Patients and methodsThis retrospective cohort study included 617 postmenopausal female patients aged 50 years or older with a CAD diagnosis confirmed by coronary angiography seen at the First Affiliated Hospital of Zhengzhou University from January 2019 to December 2020. Patients were divided into three groups based on SIRI tertiles. Primary endpoints were all-cause mortality (ACM) and cardiac mortality (CM), and secondary endpoints were major adverse cardiovascular events (MACEs) and major adverse cardiovascular and cerebrovascular events (MACCEs).ResultsThe frequencies of all adverse outcomes were greater in the high level (third tertile) SIRI group than in the low level (first tertile) SIRI group. Multivariable regression analysis showed that compared to the low level SIRI group, the high level SIRI group had a 1.581-fold greater risk of ACM [hazard ratio (HR) = 2.581, 95% confidence interval (CI): 1.045–6.373, p = 0.040) and a 1.798-fold greater risk of CM (HR = 2.798, 95% CI: 0.972–8.060, p = 0.057). In addition, the risks of MACEs and MACCEs were 62.3% (HR = 1.623, 95% CI: 1.123–2.346, p = 0.01) and 55.8% (HR = 1.558, 95% CI: 1.100–2.207, p = 0.012) greater in the high level SIRI group compared with the low level SIRI group. Kaplan–Meier survival analyses confirmed that the high SIRI level was associated with increased risks of ACM (p = 0.001), CM (p = 0.005), MACEs (p = 0.003), and MACCEs (p = 0.005).ConclusionThis retrospective study demonstrates that the novel derived inflammatory index SIRI can effectively predict the risk of multiple adverse outcomes in postmenopausal women with CAD.
The early and mid-term outcomes of acute type A aortic dissection patients with ECMO
Authors: Meng Qingqing , Jiang Hongkai , Li Tianbao , Pang Shanwen , Zhou Chengbin , Huang Huanlei , Sun Tucheng , Wu Jinlin 
Published: December 2024

BackgroundAcute type A aortic dissection (ATAAD) poses significant challenges in cardiovascular management due to its high morbidity and mortality rates. Postcardiotomy cardiogenic shock (PCS) is a severe complication following ATAAD repair that complicates postoperative recovery. Extracorporeal membrane oxygenation (ECMO) has emerged as a potential life-saving intervention in this context, yet the specific outcomes related to ECMO in ATAAD patients remain insufficiently studied.MethodsThis retrospective single-center study reviewed the medical records of 479 patients who underwent ATAAD surgery from September 2017 to June 2021. Patients were stratified into those requiring postoperative ECMO support and those who did not. Data collected included demographics, operative details, and postoperative outcomes.ResultsOf the cohort, 19 patients (4.0%) required ECMO support. The ECMO group exhibited significantly higher mortality rates (57.9% vs. 5.4%, p &lt; 0.001) and increased complications, including a higher rate of continuous renal replacement therapy (84.2% vs. 24.3%, p &lt; 0.001) and prolonged ICU stays (14.5 days vs. 7.6 days, p = 0.009). Survival analysis demonstrated a stark contrast in 3-year survival rates, with 36.8% for the ECMO group vs. 92.8% for non-ECMO patients (p &lt; 0.001).ConclusionsECMO can be a crucial intervention for ATAAD patients suffering from PCS; however, it is associated with significantly higher mortality and complications. Despite lower long-term survival rates compared to non-ECMO patients, ECMO may offer a survival benefit as a salvage therapy. Interpretation is limited by the retrospective single-center design, small ECMO cohort size, and lack of post-discharge quality-of-life data.
Analyzing click data with AI: implications for student performance prediction and learning assessment
Authors: Borna Mahdi-Reza , Saadat Hanan , Hojjati Aref Tavassoli , Akbari Elham 
Published: December 2024

BackgroundAs the intersection of artificial intelligence (AI) and education deepens, predictive analytics using machine learning (ML) and deep learning (DL) models offer novel approaches to assessing student performance in online environments. However, challenges remain in accurately predicting high achievers and identifying students at risk due to limitations in traditional assessment models. This study explores the capabilities of these models in predicting academic achievement and highlights their potential role in reshaping educational assessment paradigms.ObjectivesTo evaluate the efficacy of various AI models—including Random Forest, XGBoost, and recurrent neural networks (RNNs)—in identifying at-risk students and differentiating levels of academic achievement, with an emphasis on inclusive and adaptive educational assessments. A key focus is on leveraging these models to create more inclusive and adaptive educational assessments.MethodsWe analyzed a dataset comprising interaction data from the Open University Learning Analytics Dataset (OULAD), which includes clickstream data on student interactions with course materials from over 32,000 students. The models were trained and evaluated using performance metrics such as accuracy, precision, recall, and F1-scores, specifically targeting predictions of student withdrawals and distinctions.ResultsThe models effectively identified students at risk of withdrawing, with the Random Forest model achieving an accuracy of 78.68% and deep learning models approximately 77%. However, accurately predicting high achievers posed challenges, suggesting a complex relationship between interaction data and academic success. This limitation underscores the need for more nuanced modeling approaches to improve predictions for top-performing students.ConclusionThis research demonstrates the promise of AI-driven models in enhancing educational assessments while also highlighting current limitations in capturing academic excellence. Our findings indicate a need for ongoing development of AI tools that are ethically designed and capable of supporting dynamic, inclusive assessment strategies. Future research should focus on incorporating additional factors, such as student motivation and study behaviors, to enhance predictive accuracy, particularly for high achievers. Such advancements can contribute to a more equitable and effective educational landscape.
Unveiling two decades of forest transition in Anamur, Türkiye: a remote sensing and GIS-driven intensity analysis (2000–2020)
Authors: Aksoy Hasan , Kaptan Sinan , Keçecioğlu Dağli Pelin , Atar Davut 
Published: December 2024

IntroductionMonitoring LULC changes is crucial for developing strategies for natural resource management, assessing the current potential of a region, and addressing global environmental issues. In this context, this study examines land use and land cover (LULC) changes in forest and non-forest areas of Anamur district, located in the Mediterranean Region of Türkiye, between 2000 and 2020.MethodsUsing the intensity analysis method, which offers a detailed and efficient approach to understanding LULC changes, the study analyzes transitions at interval, category, and transition levels. LULC maps were generated through supervised classification of Landsat satellite images, focusing on seven classes: Coniferous, Broad-Leaved, Mixed, Treeless Gap, Settlement, Agriculture, and Water. The analysis evaluated changes within and between these categories, interpreting the results through graphical outputs. The driving forces behind these changes were also explored, and their underlying causes were discussed.Results and DiscussionResults at the interval level revealed that the most significant changes occurred during the 2000-2010 period. At the category level, the Coniferous category exhibited the highest degree of change in both intervals. During 2000-2010, Coniferous gains predominantly replaced non-forest areas (Agriculture, Settlement, and Water), while this pattern was less evident in 2010-2020. In contrast, Treeless Gap gains primarily replaced Coniferous areas during 2010-2020, while no significant losses in Treeless Gap were targeted by other categories. Broad-Leaved species were found to heavily target Water losses, likely due to their higher water demands compared to Coniferous species, as supported by prior studies. This research highlights the advantages of intensity analysis in LULC studies, offering insights into spatial changes and their intensity across categories. It aims to promote its adoption and underscores the importance of targeted conservation and land management strategies to mitigate the impacts of forest loss, land use changes, and water resource pressures.
Assessing immunotherapy response: going beyond RECIST by integrating early tumor growth kinetics
Authors: Felfli Mehdi , Thinnes Alexandre , Jacques Sebastien , Liu Yan , Iannessi Antoine 
Published: December 2024

ObjectiveAssess the contribution of early tumor growth dynamics modeling to predict clinical outcomes in non-small cell lung cancer patients receiving immunotherapy, alongside standard RECIST 1.1 criteria.MethodsOur retrospective studies used data from 861 patients with advanced NSCLC enrolled in three randomized Phase III trials evaluating immunotherapy plus chemotherapy were analyzed. Tumor size measurements up to two follow-up time points were used to fit a novel Gompertz model and estimate growth rate (GR) and kinetic parameters representing depth of response (A), speed of response (B), and long-term modulation (M). Correlations between these early tumor growth parameters and clinical outcomes such as progression-free survival (PFS) and time to response (TTR) were assessed. Descriptive and discriminative analyses were performed to delineate tumor growth dynamics across various response profiles based on RECIST 1.1 criteria.ResultsThe novel Gompertz model accurately described early tumor growth kinetics in 861 non-small cell lung cancer patients treated with immunotherapy. Lower growth rate (GR) and model parameter M were associated with longer progression-free survival (PFS) (HR=0.897 and 7.47x10^-7, respectively). Higher GR and parameter A correlated with shorter time to response (HR=0.575 and 0.696, respectively). Responders had significantly lower A (p=1.51e-53) and higher GR (p=0.4e-12) than non-responders. Non-durable stable disease patients had higher GR (p=0.0001) and parameter B (p=0.0002) compared to late responders. Early tumor growth parameters showed potential for predicting long-term outcomes and treatment response patterns.
Evaluation of link between COVID-19 adjacent spike in hydroxychloroquine use and increased reports of pemphigus: a disproportionality analysis of the FDA Adverse Event Reporting System
Authors: Baroukhian Justin , Seiffert-Sinha Kristina , Attwood Kristopher , Sinha Animesh A. 
Published: December 2024

ImportanceIdentifying environmental factors that contribute to disease onset/activity in PV stands to improve clinical outcomes and patient quality of life by strategies aimed at reducing specific disease promoting exposures and promoting personalized clinical management strategies.ObjectiveTo evaluate the association between hydroxychloroquine use and the development of pemphigus using population level, publicly available, FDA-generated data.DesignObservational, retrospective, case-control, pharmacovigilance analysis.SettingPopulation based.ParticipantsIndividuals who either independently or via their healthcare provider submitted a voluntary report of a drug related adverse event to the FDA from Q4 of 2003 to Q2 of 2023.ExposureCases were identified by the presence of adverse events described by the MedDRA preferred term (PT) of “pemphigus” (10034280) and then sorted based on exposure to the drug of interest, hydroxychloroquine, or lack thereof.Main outcomes and measuresFrequency of hydroxychloroquine exposure among those individuals who reported an adverse event of pemphigus to the FDA; quantification of the reporting odds ratio (ROR).ResultsWe identified a total of 2,548 reports that included the adverse event pemphigus; among these, 1,545 (n=706 (41.92%) age 18-64, n=1 age 65-85 years, and n=977 (58.02%) with no age specified; n=1,366 (81.12%) females, n=4 (0.24%) males, and n=314 (18.65%) with no gender specified) included exposure to hydroxychloroquine (ROR, 282.647; 95% CI, 260.951-306.148). We then stratified those reports that included the combination of pemphigus and hydroxychloroquine by gender and found that while the association between the exposure and adverse event remained significant across genders, the magnitude of the effect sizes differed significantly (p&lt;0.001), being over 100-fold greater among females (ROR, 378.7; 95% CI, 339.0-423.1) compared to males (ROR, 3.6; 95% CI, 1.4-9.8).Conclusions and relevanceThe frequency of reports containing the combination of the adverse event pemphigus and exposure to the drug hydroxychloroquine was disproportionately elevated across all genders in the years since the start of the COVID-19 pandemic. The disproportionately elevated frequency of reports of the combination of pemphigus and hydroxychloroquine supports an association between the two, corroborates previous case-report based evidence for such an association, suggests that hydroxychloroquine represents a possible trigger factor for the development of pemphigus, and paves the way for future research that is capable of establishing causality.