bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengaruh Beban Kerja dan Disiplin Kerja terhadap Kinerja Karyawan pada Pt Tiki Jne Cabang S. Parman Jakarta Barat
Authors: Fitrian Nanda Dwi , Astria Kenny 
Published: January 2025

Penelitian ini bertujuan untuk mengetahui Beban Kerja dan Disiplin Kerja secara parsial maupun simultan terhadap kinerja karyawan pada PT TIKI JNE Cabang S. Parman Jakarta Barat Metode penelitian yang digunakan adalah metode kuantitatif dengan pendekatan asosiatif. Populasi dalam penelitian ini berjumlah 60 karyawan. Teknik pengambilan sampel dengan metode probability sampling, yang menggunakan sampel jenuh. Metode analisis yang digunakan adalah validitas, reliabilitas, asumsi klasik, analisis regresi, uji korelasi, uji determinasi, uji hipotesis (uji t dan uji F). Hasil penelitian secara parsial menunjukan bahwa Beban Kerja tidak berpengaruh dan signifikan terhadap Kinerja Karyawan dapat diperoleh nilai t-hitung < t-tabel (-6,347 < 2,002), Disiplin Kerja berpengaruh dan signifikan terhadap Kinerja Karyawan dapat diperoleh nilai t-hitung > t-tabel (6,780 > 2,002), dengan secara simultan menunjukan bahwa Beban Kerja dan Disiplin Kerja berpengaruh dan siginifikan terhadap Kinerja Karyawan dapat diperoleh nilai F-hitung > F-tabel (35,785 > 3,159).
Optimalisasi Pembelajaran Menulis Naratif Melalui Media Komunikatif pada Siswa Berkebutuhan Khusus Tunarungu
Authors: Sriwidiastuty Asi , Sarwi  , Sudarmin  , Nurcahyono Adi 
Published: January 2025

Tujuan dari penelitian ini adalah untuk mereview optimalisasi media gambar seri sebagai media komunikatif dalam pembelajaran menulis naratif bagi siswa tunarungu. Penelitian ini menggunakan metode literature review atau tinjauan pustaka. Diperoleh 15 artikel yang sesuai dengan tujuan literature review. Literature review ini disintesis menggunakan metode naratif dengan mengelompokkan data-data hasil ekstraksi yang sejenis sesuai dengan hasil yang diukur untuk menjawab tujuan. Hasil literature review dari 15 artikel yang relevan menunjukkan bahwa dengan adanya penggunaan media gambar yang dapat meningkatkan kemampuan menulis bagi siswa. Siswa lebih senang dengan adanya penggunaan media gambar sebagai penunjang dalam proses belajarnya. Media komunikatif berupa gambar dapat membuat daya tarik siswa agar lebih memahami sekaligus mengenal berbagai macam gambar yang disajikan sehingga dapat meningkatkan daya ingat siswa.
Peran Buku Cerita Bergambar sebagai Media Pembelajaran Bahasa dalam Meningkatkan Kreativitas dan Komunikasi Peserta Didik di Sekolah Dasar
Authors: Sukniasih  , Hartono  , Rokhman Fathur , Wagiran  
Published: January 2025

Penelitian ini bertujuan untuk mengeksplorasi peran dari buku cerita bergambar sebagai sebuah media pembelajaran bahasa dalam meningkatkan kreativitas dan komunikasi peserta didik di sekolah dasar. Penelitian ini menggunakan pendekatan kualitatif dengan desain studi kasus. Lokasi penelitian dilakukan di Sekolah Dasar Negeri Sumurwuni di kota Cirebon di gugus 5 Harjamukti. Subjek penelitian terdiri dari 30 siswa kelas I dan 30 siswa kelas II. Data dikumpulkan melalui metode observasi kelas, wawancara dengan guru dan siswa, serta analisis dokumen buku cerita bergambar yang digunakan dalam pembelajaran. Data yang terkumpul dianalisis dengan teknik analisis tematik. Data dikumpulkan melalui observasi, wawancara, dan analisis dokumen. Hasil penelitian menunjukkan bahwa buku cerita bergambar dapat merangsang imajinasi, meningkatkan keterampilan berbahasa, dan memperkuat kemampuan komunikasi siswa. Ditemukan pula bahwa penggunaan buku cerita bergambar dapat meningkatkan motivasi belajar siswa. Penelitian ini memberikan rekomendasi bagi pendidik untuk mengintegrasikan buku cerita bergambar dalam proses pembelajaran.
Compressive and tensile properties of polyurethane foam mimicking trabecular tissue in artificial femoral head bones
Authors: Zerdzicki Krzysztof , Znaczko Aleksander , Kondrusik Aleksandra , Korbut Wiktoria 
Published: January 2025

IntroductionMost orthopedic implants for fracture fixation and joint replacement are commonly tested on artificial bones. Polyurethane foam is one of the most frequently used synthetic bone materials for mimicking human trabecular tissue. The study aimed to examine the compressive and tensile behavior of polyurethane foams mimicking trabecular tissue in artificial human femurs and assess their potential to replicate the osteoporotic type of human bone tissue.Materials and methodsTwo types of SYNBONE femur models, one of normal density (model 2350) and one of lower density (model LD2350), and three types of Sawbones femur models (models 1130-21-8, 1130-21-3, and 1130-192) were investigated. Polyurethane foams were extracted as slices cut in the coronal plane from the femoral head. Cuboid samples were cut in three directions and uniaxial tested to identify compressive and tensile properties, including elastic modulus, Poisson’s ratio, yield limit, and ultimate strength.ResultsThe ANOVA test revealed that only SYNBONE LD2350 trabecular tissue exhibits anisotropy properties (p &lt; 0.001). In most cases, the tensile properties were greater than compressive ones (t-test, p &lt; 0.001).ConclusionThe obtained results are within the ranges suggested by other authors for mimicking osteoporotic human tissue. The presented data broadens the range of data on mechanical properties provided by the producers. These data can serve as a reference for research using composite femurs made of these particular polyurethane foams for conducting biomechanical studies and validating accompanying numerical simulations.
Predictors of glycemic control among type 1 pediatric diabetes patients—Northeast Ethiopia
Authors: Adege Hiwot , Getnet Gedefaw , Ambaye Abyou Seyfu , Kassa Mekuanint Terefe , Endalifer Bedilu Linger 
Published: January 2025

IntroductionType 1 diabetes mellitus is the most common endocrine–metabolic disorder in children and adolescents worldwide. This study aims to determine the metabolic glycemic control levels and predictors among pediatric type 1 diabetes patients.MethodsAn institution-based prospective cross-sectional study was conducted from July 01, 2022 to October 30, 2022 among patients attending pediatric chronic follow-up at Dessie Comprehensive Specialized Hospital, Northeast Ethiopia. Patients on follow-up for more than 3 months and aged under 18 years were enrolled in the study consecutively based on their visits. Data were entered into Epidata version 3.1 and exported to SPSS version 26 for analysis. Bivariate and multivariate analyses were done to identify the factors affecting glycemic control.ResultAmong 203 patients with type 1 diabetes, the average age was 8.72 ± 4.25 years, with the largest group of participants being over 10 years old (77 patients, 37%). The majority of the patients were female, totaling 126 (62.1%), and about 69 (34.0%) were in grades 7–10. Retinopathy, nephropathy, and diabetic ketoacidosis were commonly observed diabetic-related complications in this study. More than half of the patients, 107 (52.7%), had good diabetic control, while 96 (47.3%) had poor diabetic control. Factors significantly associated with poor glycemic control include having diabetes for more than 5 years (aOR: 1.45; 95% CI: 0.47, 0.91), being a third-born child (aOR: 0.22; 95% CI: 0.05, 0.92), having a comorbid disease condition (aOR: 1.84; 95% CI: 0.29, 0.92), and experiencing diabetes-related complications (aOR: 0.26; 95% CI: 0.08, 0.97).ConclusionThe study found that glycemic control is significantly poor among pediatric patients with type 1 diabetes. As a result, these patients require special attention to prevent the long-term consequences of diabetes.
Comprehensive analysis of disulfidptosis-related genes and the immune microenvironment in heart failure
Authors: Zhao Linna , Zhang Juanjuan , Song Qiuhang , Dai Cheng , Qin Yiping , Li Aiying 
Published: January 2025

BackgroundHeart failure (HF) is a prevalent cardiovascular disease that currently lacks effective treatment options due to its intricate pathogenesis. A recent study has linked disulfidoptosis, a novel form of cell demise, with the development of a range of diseases. Nonetheless, the effect of disulfidoptosis on the immune microenvironment of HF is not well comprehended. In this paper, bioinformatics analysis was performed to investigate how disulfidptosis-related genes (DRGs) affect the immune microenvironment of HF.MethodsThe expression of four DRGs was initially examined using bulk RNA-Seq and single-cell RNA sequencing data. A predictive model was subsequently developed. Consensus clustering was used to distinguish between the two clusters of DRGs. The effect of these DRGs on the characteristics of the immune microenvironment was further explored, such as infiltrating immune cells, immune response gene sets, and HLAs genes.ResultsAll four DRGs were dysregulated in HF samples. The predictive model based on these four DRGs effectively differentiated between HF patients and healthy individuals, which was validated in the experiment. These four DRGs were strongly associated with the abundance of infiltrating monocytes. Moreover, our analysis identified two distinct clusters of DRGs and these clusters exhibited differences in terms of immune cell abundance, immune response, and HLA gene expression. The biological functions associated with these differences were also revealed.ConclusionOur discovery underscores the pivotal role of DRGs in shaping the diversity and intricacy of the immune microenvironment in HF.
Nonlinear association between red cell distribution width/albumin ratio and peripheral arterial disease in the NHANES: a cross-section study with propensity score matching analysis
Authors: Cao Jinmin , Deng Zhixiong , Xiang Li , Wang Feng , Yang Ting 
Published: January 2025

BackgroundPeripheral arterial disease (PAD) is a prevalent cardiovascular condition that affects up to 200 million people globally, and has significant implications for morbidity and mortality. Recent studies have identified the red cell distribution width-to-albumin ratio (RDW/ALB) as a potential systemic inflammatory marker that is correlated with several cardiovascular and inflammatory diseases including PAD. However, the comprehensive role of RDW/ALB in PAD remains underexplored. The objective of this study was to elucidate the relationship between RDW/ALB and PAD and to provide novel insights into the prevention and treatment of PAD.MethodsThis retrospective cross-sectional study leveraged data from the NHANES data (1999–2004) identifying PAD using ankle-brachial index measurements (&lt;0.90). The association with PAD was assessed using multivariable logistic regression, complemented by a restricted cubic spline for nonlinearity, and propensity score methods for robustness checks, including propensity score matching and subgroup analyses.ResultsThis study included 6,421 participants, 452 of whom had PAD. The mean age was 70.1 years; the patients were predominantly male. After adjustment, the RDW/ALB ratio showed a significant association with PAD (OR 1.71, 95% CI 1.29–2.26, p &lt; 0.001). After quartiles of RDW/ALB, the risk of PAD was determined to be 2.03 (95% CI 1.31–3.14) in the Q4 group compared with the Q1 group in the adjusted complete model. The restricted sample cubic spline of RDW/ALB and risk of developing PAD demonstrated a nonlinear relationship. The risk of PAD increased considerably with higher RDW/ALB ratios less than 4.08. Subgroup and PSM analyses underscored the consistency of these findings.ConclusionsThe study demonstrated a significant association between RDW/ALB and PAD, with a nonlinear relationship and a threshold effect. Further prospective clinical research is required to validate the relationship between the RDW/ALB ratio and PAD.
Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis
Authors: Al-Obeidat Feras , Hafez Wael , Rashid Asrar , Jallo Mahir Khalil , Gador Munier , Cherrez-Ojeda Ivan , Simancas-Racines Daniel 
Published: January 2025

BackgroundLeukemia is the 11th most prevalent type of cancer worldwide, with acute myeloid leukemia (AML) being the most frequent malignant blood malignancy in adults. Microscopic blood tests are the most common methods for identifying leukemia subtypes. An automated optical image-processing system using artificial intelligence (AI) has recently been applied to facilitate clinical decision-making.AimTo evaluate the performance of all AI-based approaches for the detection and diagnosis of acute myeloid leukemia (AML).MethodsMedical databases including PubMed, Web of Science, and Scopus were searched until December 2023. We used the “metafor” and “metagen” libraries in R to analyze the different models used in the studies. Accuracy and sensitivity were the primary outcome measures.ResultsTen studies were included in our review and meta-analysis, conducted between 2016 and 2023. Most deep-learning models have been utilized, including convolutional neural networks (CNNs). The common- and random-effects models had accuracies of 1.0000 [0.9999; 1.0001] and 0.9557 [0.9312, and 0.9802], respectively. The common and random effects models had high sensitivity values of 1.0000 and 0.8581, respectively, indicating that the machine learning models in this study can accurately detect true-positive leukemia cases. Studies have shown substantial variations in accuracy and sensitivity, as shown by the Q values and I2 statistics.ConclusionOur systematic review and meta-analysis found an overall high accuracy and sensitivity of AI models in correctly identifying true-positive AML cases. Future research should focus on unifying reporting methods and performance assessment metrics of AI-based diagnostics.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/#recordDetails, CRD42024501980.
Aspartate aminotransferase to platelet ratio correlates with poor prognosis and metabolic alterations in Dabie bandavirus infection
Authors: Guo Chunxia , Li Ruixue , Wang Xia , Peng Xiulan 
Published: January 2025

IntroductionSevere fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease with a high mortality rate caused by Dabie bandavirus. The aspartate aminotransferase to platelet ratio index (APRI) is a biomarker of liver injury and inflammation. This study aimed to examine the correlation between APRI and SFTS prognosis using clinical data analysis and attempt to explain its prognostic significance through metabolic analysis.MethodsData from hospitalized patients with a confirmed diagnosis of SFTS virus infection at Wuhan Union Hospital were retrospectively collected. The low and high APRI groups were 1:1 matched using propensity score matching (PSM) analysis. Fresh plasma was collected from patients with SFTS on admission and used for metabolic tests.ResultsA total of 617 patients with SFTS who met the inclusion criteria were selected for analysis. Survival analysis revealed that patients with SFTS with high APRI (&gt; 35.3) had a substantially higher death rate than those with low APRI (≤ 35.3). Receiver operating characteristic analysis showed the predictive performance of APRI for SFTS prognosis is 0.77, with a 95% CI of 0.73–0.80, which was superior to NLR (area under the curve (AUC): 0.65), platelet-to-lymphocyte ratio (AUC: 0.54), and systemic immune-inflammation index (AUC: 0.58). The prognostic value and predictive performance of APRI were more substantial after PSM than before PSM. Metabolomic testing identified several differential serum metabolites, with alanine, aspartate, glutamate, glycerophospholipid, and tryptophan metabolism being the most important metabolic pathways.ConclusionA high APRI score was associated with relatively higher mortality in patients with SFTS, and its predictive performance for the survival outcome of SFTS was superior to that of well-recognized inflammatory scores. Alanine, aspartate, and glutamate metabolism are involved in the progression of SFTS.
Global research progress and trends in traditional Chinese medicine for chronic kidney disease since the 21st century: a bibliometric analysis
Authors: Wang Heyong , Wang Jun , Chen Yang , Yang Dianxing , Xiong Lanyue 
Published: January 2025

ObjectiveThis study analyzed literature on traditional Chinese medicine (TCM) in treating chronic kidney disease (CKD) to identify research trends and provide guidance for future studies and clinical practice.MethodsThe study used data from Web of Science from 2000 to 2024 to analyze English-language literature on CKD and TCM. Bibliometric analysis was done using R software and the bibliometric package, with scientific mapping and visualization analysis conducted using tools like Citespace, VOSviewer, and ScimagoGraphica to explore research trends and connections.ResultsThis study revealed that a total of 1,153 relevant documents were retrieved, and the number of published articles showed an increasing trend, reaching a peak in 2022. In terms of article publication, China ranked first with 760 articles, closely followed by the United States with 132 articles. Guangzhou University of Traditional Chinese Medicine published 60 papers, the most among academic institutions, followed by Shanghai University of Traditional Chinese Medicine with 54 papers. In terms of individual authors, Liu Xinhui holds the record for the highest number of published articles, totaling 17, followed by Li Ping and Li Shunmin. The prevalent keywords include “chronic kidney disease,” “TCM,” and “oxidative stress.” Currently, the prominent areas of research interest include network pharmacology, gut microbiota, oxidative stress, and related topics. The current research trend in this field is towards the adoption of novel methodologies such as network pharmacology and the emphasis on exploring the relationship between gut microbiota and CKD.ConclusionGlobal research on TCM in the treatment of CKD is showing a positive development trend, but further research on safety, efficacy evaluation, and international cooperation is still needed. The development trend is to adopt new scientific research methods and focus on exploring the mechanism of TCM in treating CKD.
Organisational-level risk and health-promoting factors within the healthcare sector—a systematic search and review
Authors: Akerstrom Magnus , Wahlström Jens , Lindegård Agneta , Arvidsson Inger , Fagerlind Ståhl Anna-Carin 
Published: January 2025

IntroductionThe healthcare sector is globally experiencing increasing demands and workplace interventions on an organisational level is sought to create healthy workplaces. The aim of this study was to provide an overview of Nordic research on the work environment and health of healthcare professionals, with a focus on identifying organisational-level risk and health-promoting factors.MethodsThis systematic search and review was based on an analysis of studies published in peer-reviewed journals between 1 January 2016 and 3 January 2023. The selected studies investigate the relationships between organisational-level risk and health-promoting factors and measures of health and well-being among healthcare professionals during ordinary operations. To increase applicability, this systematic search and review was limited to the Nordic countries as they share the same context with a publicly-funded widely accessible healthcare system. A total of 2,677 articles were initially identified, with 95 original studies meeting the criteria for relevance and quality.ResultsIdentified organisational risk and health-promoting factors were categorised into five categories: work schedule distribution, operations design and work methods, ergonomic conditions, working conditions and personnel policies, and the organisation’s ethical environment. In addition, two themes across the categories emerged, providing further insight into the implications for practice. The first theme emphasises risk and health-promoting factors in the actions that employers take to fulfil the organisation’s goals. The second theme emphasises risk and health-promoting factors in connection with the ability of employees to do their jobs at a level of quality they deem acceptable.ConclusionSeveral organisational-level risk and health-promoting factors were identified, and the results indicate that the actions that employers take to fulfil the health-care organisation’s goals and promote the ability of employees to provide high-quality care are important for the health and wellbeing of healthcare employees.
High serum uric acid levels are associated with increased prevalence of gallstones in adult women: a cross-sectional study based on NHANES
Authors: Lv Guozheng , Wang Decai , Huang Yu , Shi Ruizi , Qin Chuan , Chen Xi , Zeng Xintao , Luo Hua , Yang Pei , Chen Sirui , Wang Jianjun 
Published: January 2025

ObjectiveWe investigated the association between serum uric acid (SUA) levels and gallstone (GS) prevalence in adult women.MethodsParticipants' information were taken from the United States National Health and Nutrition Examination Survey (2017–2020). Logistic regression analysis and dose-response curve were used to assess the association between SUA levels and the prevalence of GS in adult women. Subgroup analyses were performed to investigate associations between SUA levels and age, ethnicity, body mass index, hypertension, and diabetes.ResultsA total of 600 participants self-reported a history of GS. After adjusting for confounding, the prevalence of GS in adult women increased by 14% for every 1 mg/dL increase in SUA (odds ratio [OR]: 1.14, 95% confidence interval [CI]: 1.06, 1.22). Testing SUA as a categorical variable for sensitivity analyses indicated a 1.6-fold increase in the prevalence of GS in tertile 3 (OR=1.60, 95% CI: 1.25, 2.04) compared to tertile 1. Dose-response curves showed a nonlinear correlation between SUA levels and the prevalence of GS. Subgroup analyses indicated that SUA level was associated with an increased prevalence of GS in most subgroups, although subtle differences existed.ConclusionSUA was positively and non-linearly associated with the prevalence of GS in adult females. Despite the inability to clarify the causal relationship between them, our results remain interesting.