bluuebunny/crossref_metadata_2025_split huggingface dataset:
जुम्ला जिल्लाका स्थाननामको अर्थतात्विक विश्लेषण
Authors: कँडेल Kandel रामप्रसाद Ramprasad 
Published: February 2025

प्रस्तुत अध्ययन अनुसन्धानका उद्देश्य जुम्ला जिल्लाका स्थाननामको सङ्कलन गरी अर्थपरकविश्लेषण गर्नुमा केन्द्रितरहेको छ । यस लेखमामुख्य गरी क्षेत्रीय अध्ययन विधिको प्रयोग गरी स्थाननाम सङ्कलन गरिएको छ । प्रस्तुत अनुसन्धानमा गुणात्मक ढाँचाको प्रयोग गरिएको छ । जुम्ला जिल्लामा रहेका विभिन्न सामाजिक, सांस्कृतिक, नृवंशात्मक, ऐतिहासिक, जलशायबोधक, भौगोलिक आधारमा स्थाननामको सङ्कलन गरिएको छ । उक्त स्थाननामलाई विभिन्न उपशीर्षक र तालिकीकरण गरी विश्लेषण गरिएको छ । प्रस्तुत अध्ययनमा सङ्कलन गरिएका जुम्ला जिल्लाका जम्मा ६७ वटा स्थाननामहरु रहेका छन् वनस्पतिबोधक स्थाननामहरू ४ ओटा रहेका छन् । इतिहास प्रस्तुत गर्ने स्थाननामहरू जम्मा ७ ओटा रहेका छन् । यसमा कोट शब्द लागेर बनेका ४ ओटा बनेका ऐतिहासिक सूचत्र स्थाननामहरू ३ ओटा रहेका छन् भने धार्मिक तथा सांस्कृतिक स्थाननामहरू ५ ओटा रहेका छन् । सामाजिक सन्दर्भ सूचक स्थाननामहरू जम्मा २० ओटा रहेका छन् । नेपाली र संस्कृत भाषाको प्रयोग भएका स्थाननामहरू रहेका छन् भने खस भाषाको प्रयोग भएका केही स्थाननामहरू रहेका छन् । भौगोलिक तात्पर्य सूचक सङ्कलित स्थाननामहरू १३ ओटा छन् । खस भाषा र नेपाली भाषाको प्रयोग भएका ८ ओटा स्थाननामहरू रहेका छन् । जलाशयबोधक स्थाननामहरू ५ ओटा रहेका छन् । संस्कृत भाषाको प्रयोग भएका स्नातनामहरू धेरै छन् । सङ्कलित ५ ओटा स्थाननामहरू जातजातिसँग सम्बन्धित छन् । नेपाली खस भाषाको प्रयोग भएका नामहरू धेरै छन् भने नेपाली र संस्कृत भाषाको प्रयोग भएका एउटा मात्र स्थान छ । यसरी जुम्ला जिल्लाका स्थाननाममा विभिन्न किसिमका सामाजिक, सांस्कृति, ऐतिहासिक तथा नृवंशात्मक स्थाननामले जुम्ला जिल्लाको पहिचानलाई महत्व दिएको छ ।
Peran dan Tugas Staf Administrasi Dalam Membuat Laporan Produksi Harian di PT Winner Sumbiri Knitting Factory Tangerang
Authors: Harjoyo  , Edi Junaedi  , Yessy Grasseylla  
Published: February 2025

Penelitian ini tentang peran dan tugas staf administrasi dalam membuat laporan produksi harian di PT Winner Sumbiri Knitting Factory Tangerang. Tujuan dari penelitian ini adalah untuk mengetahui peran dan tugas staf administrasi di PT Winner Sumbiri Knitting Factory Tangerang. Metode yang digunakan dalam penelitian ini adalah wawancara, observasi dan riset kepustakaan. Berdasarkan data, ada tiga kendala yang dihadapi staf administrasi, yaitu kurangnya ketelitian dalam menghitung counter awal dan counter akhir pada laporan produksi harian, fasilitas yang digunakan penulis masih manual dalam pembuatan laporan produksi harian, dan kurangnya komunikasi pada saat serah terima antar shift yang membuat kesalahpahaman sering terjadi. Penulis menyarankan bahwa staf administrasi harus meningkatkan kinerjanya dan PT Winner Sumbiri Knitting Factory Tangerang menyediakan fasilitas yang lebih memadai contonhnya komputer agar staf administrasi dapat mengerjakan pekerjaannya dengan baik dan cepat dan waktu yang digunakan menjadi lebih efektif.
The Influence of Using Interactive Media on Middle School Students' Ability to Understand Folklore Texts
Authors: Alfina Aisyah Eka , Munirah Munirah , Andhira Desy Ayu 
Published: February 2025

Abstrak
This type of research is quantitative with an experimental research design. The aim of this research is to determine the results of media use interactive in increase motivation Study And ability understand Folklore text structure in Indonesian language learning. Population in This research consisted of class VII students at SMP Negeri 6 Barru with a selected sample class VII.1 JUNIOR HIGH SCHOOL Country 6 Barru. Technique collection data that is with using observation, tests ( pretest and posttest ) and questionnaires. Data What was collected was data regarding descriptive analysis and inferential analysis with testing hypothesis use t- test . Results analysis descriptive shows that there is a significant increase after using the media interactive with a percentage of 62.54% or 16 students who obtained excellent marks tall. Whereas results analysis inferential by using formula t- test obtain mark t count =16.46 And t table = 2.05, become t count >t table or 16.46 >2.05. H o is rejected and H 1 is accepted, so it can be concluded that utilization Interactive media influences learning motivation and ability to understand student
Transformational Leadership of Islamic School Principals: A Literature Review
Authors: Triyantoro Joko , Rahman Bujang , Sowiyah Sowiyah , Hariri Hasan , Sucitra Diah Ayu 
Published: February 2025

The transformational leadership of Islamic-based school principals integrates Islamic teaching values ​​such as justice, trust, and responsibility in carrying out leadership roles. This research uses a literature review method, where data was collected through articles from 2018 to 2024. There are 16 articles that are references from Google Scholar. The research results show that leadership with secular and spiritual concepts, achieves important goals beyond organizational goals while leadership requires high commitment towards Islam, establishing principles, and leadership is not just a responsible humanitarian task. This article can be useful from a theoretical perspective, namely to increase knowledge about Islamic-based transformational leadership. Then it can be used as a reference for subsequent research.
Curriculum Management in Improving the Quality of Education in Indonesia
Authors: Neliwati Neliwati , Hidayat Rafly Prahmana , Yusuf Rizki Ade 
Published: February 2025

The purpose of this study is to assess curriculum management in an effort to improve education standards. To find out the function of curriculum management in improving quality, literature research is the methodology used. Human resource development through education. Initiatives to improve education standards must be supported by all parties, including managers of central, regional and local education institutions. Decentralization of education with a quality improvement curriculum that is specific to each region is what we should see in the era of regional autonomy. Education programs that have been established by the central government should be expanded or implemented using this curriculum. With this curriculum in place, lower-level schools and local governments can create initiatives to improve the quality of education. In order to improve education, local governments will face competition with each other.
Using Google Workspace for Education to Improve Understanding of Differentiated Learning
Authors: Hidayati Siti Nur 
Published: February 2025

The research entitled "Using Google Workspace for Education to Improve Understanding of Differentiated Learning" is based on the weakness of Islamic Religious Education teachers in understanding differentiated learning. The aim of this research is to critically analyze the use of Google Workspace for Education to understand differentiated learning for training participants consisting of Islamic Religious Education teachers. This research is classified as qualitative research. This research method was descriptive-analytical by collecting data in the form of literature from relevant research results, then analyzing and comparing it with the results of observations by researchers through training for teachers on differentiated learning using Google Workspace for Education. The research results showed, firstly, differentiated learning which consists of content/material differentiation, process differentiation, and product differentiation is very suitable to be delivered using the Google Workspace for Education platform which has various features; secondly, Google Workspace for Education has benefits as a method or medium for Trainers in training. Apart from that, Google Workspace for Education is also useful for teachers in teaching differentiated learning because the available elements suit various characteristics and tendencies of students; lastly, the use of Google Workspace for Education, supported by the use of the Canva and Padlet platforms, has an impact on increasing the training participants' good understanding of differentiated learning.
The Effectiveness of Differentiated Learning in Text Learning Review Language Indonesia in Era Digital in class X of Muhammadiyah 1 High School, Unismuh Makassar
Authors: Dahlan Muhammad 
Published: February 2025

The purpose of this study is to determine the effectiveness of the differentiated learning model to be applied in class. By conducting research in class X Muhammadiyah High School 1 Unismuh Makassar. Problem main In this study, there is a lack of interest in learning for students so that the learning process is less effective and students feel bored and fed up. If the learning that is often used by teachers is only based on one model learning only such as one of the group discussion methods, then students will not be able to hone their abilities and creativity during the learning process. This type of research is quantitative research with a quasi-experimental design . The form of research design with pretest-posttest. By using the entire population from 2 class Which become object study X A class experiment as many as 18 students and XB control class as many as 16 students. The results of the study the average value of class XA as the experimental class was 69.83 while class XB as the control class was 65.43. Then the average post-test value of class XA was 89.27 while class XB was 86.18 this shows that the post-test of the Experimental class is higher than the control class, thus proving the learning model differentiate effective For learning Language Indonesia in class X of Muhammadiyah 1 High School, Unismuh Makassar.
The effects of running shoe stack height on running style and stability during level running at different running speeds
Authors: Kettner Cagla , Stetter Bernd , Stein Thorsten 
Published: February 2025

The footwear market contains a wide variety of running shoe solutions aiming at optimizing performance and minimizing injuries. Stack height is one of the most highly discussed design features of running shoes, but its effects are not yet well understood. This study investigated the effects of different shoes differing mainly in their stack heights (High: 50 mm, Medium: 35 mm and Low: 27 mm) on running style and stability during treadmill running at 10 and 15 km/h. A total of 17 healthy experienced runners participated. The kinematic data were recorded with a 3D motion capturing system. The running style was investigated with duty factor (DF) and leg length normalized to step frequency (SFnorm). Additionally, the ratio of landing to take-off duration, the lower body joint angle time series in the sagittal and frontal planes, the vertical center of mass oscillation (COMosc), and the stiffness parameters (kver and kleg) were compared for different conditions. The stability was analyzed using linear (i.e., discrete frontal ankle parameters) and nonlinear methods (i.e., Maximum Lyapunov Exponent for local dynamic stability of head, trunk, hip, and foot, and detrended fluctuation analysis of stride time). High resulted in longer ground contact relative to stride time (i.e., DF) compared to Low. The higher the stack height, the higher was the COMosc. Furthermore, High led to a longer foot eversion during stance compared to Medium. In addition, the local dynamic stability of the hip decreased with High in comparison with Low. The higher stack heights (≥35 mm) led to a lower SFnorm at 15 km/h but not at 10 km/h. The remaining shoe effects were independent of running speed. Findings showed that changes in stack height can affect running style. Furthermore, the highest stack height resulted in changes related with instabilities (i.e., longer foot eversion and lower hip dynamic stability) which may be a critical issue in terms of injuries and performance. However, this study did not include joint load analysis or running performance measures such as VO2. Future studies may benefit from combination of analysis approaches to better understand stack height effects on running injuries and performance.
Association of systemic immune inflammation index with depression among adult type 2 diabetic patients in a tertiary hospital, Ethiopia, 2022
Authors: Ali Seid Yimam , Sadik Mohammed Ibrahim , Seid Ahmed Muhye , Mohammed Awol Hassen , Yimam Ahmed Adem , Shegere Mekonin Meskelu , Shimels Ayele Tesfaneh , Wako Abdulmalik Jeben , Ibrahim Mohamedaman Mohamedsied 
Published: February 2025

BackgroundThe inflammatory and hormonal aspects of T2DM can influence the development or worsening of depressive symptoms. While most of the burden had due consideration, the mental health impact of T2DM such as depression is often unnoticed, undiagnosed, or untreated. Despite some studies exploring depression in Ethiopian T2DM patients, none have investigated the predictive role of the Systemic Immune inflammation Index (SII) in depression.ObjectiveThis study aimed to determine the prevalence of depression and its association with the Systemic Immune Inflammation Index (SII), socio-economic factors, and behavioral predictors among adult T2DM patients at Jigjiga University Comprehensive Specialized (JJU CS) Hospital.Methods and materialsA hospital-based cross-sectional study was conducted from Oct 3 to Nov 13/2022 at JJUSH. Depression was assessed by using the Patient Health Questionnaire (PHQ-9). A complete blood count was done to calculate SII. Data entry was conducted using Epidata version 4.6 and subsequently analyzed in SPSS-V-26. Multiple logistic regression with the backward elimination method was performed. Variables with a p-value &lt; 0.05 were considered statistically significant at a 95% CIResultsA total of 263 T2DM patients were recruited in the study. Of these, 134 individuals (51%) were male. The overall prevalence of depression was 47.1%. Of the 263 enrolled T2DM patients, the majority, 142 (54%) had elevated SII. A multivariable logistic regression analysis indicated that high SII (AOR= 2.76), current Khat chewers (AOR= 2.83), ex-Khat chewers (AOR= 4.12), and female sex (AOR= 2.68) were identified independent predictors of depression.DiscussionThere was a high prevalence of depression among T2DM patients on follow-up at JJUSH. As well, SII, Khat chewing, and female sex were identified as predictors of depression. Therefore, relevant stakeholders should work towards control of systemic inflammation, avoidance of risky behaviors such as khat chewing, and promotion of healthy behavior particularly among females.
The triglyceride–glucose index is a promising predictor for the risk of cardiovascular disease in the diabetic population aged ≥60 years in the United States: a retrospective cohort study from NHANES (2007-2016)
Authors: Yang Shu , Wang Zhenwei 
Published: February 2025

BackgroundThe predictive value of triglyceride-glucose index (TyG) for cardiovascular disease (CVD) in the US elderly diabetic patients is ambiguous. This study aimed to investigate the association between TyG index and the risk of CVD in an older US population with diabetes.MethodsThe study examined data from the 2007-2016 National Health and Nutrition Examination Survey (NHANES). Univariate and multivariate regression analysis models were obtained to explore the association between baseline TyG index and the risk of CVD. Non-linear association were investigated using restricted cubic spline (RCS) regression. Subgroup analyses and interaction tests were constructed and a sensitivity analyses was carried out. The 10 - year CVD risk were evaluated via the Framingham Risk Score (FRS). Mediation analysis explored the mediating role of glycated hemoglobin in the above relationships.ResultsA total of 2987 subjects were included (977 CVD patients and 2010 non-CVD persons). CVD patients had higher TyG values (9.01 ± 0.58 vs. 8.94 ± 0.56, P=0.003), and the prevalence of CVD increased with TyG index (P=0.015). In a multifactorial regression model with gradual adjustment for all covariates, the risk of CVD associated with TyG increased by 48.0% in the highest quartile group (OR 1.480, 95% Cl 1.171-1.871, P=0.001). The RCS curves showed a U-shaped association between TyG index and CVD risk (P for overall=0.013, P for nonlinear=0.043). Subgroup analyses showed that in the highest quartile group, individuals with body mass index (BMI) ≥24 kg/m2, an estimated glomerular filtration rate (eGFR) &lt;90 mL/1.73m2/min, individuals without chronic kidney disease, and those with hypertension had significantly higher risks of CVD. Sensitivity analyses indicated that these associations were not associated with other significant confounders. Under different adjustment models, the TyG index exhibited significant correlations with the 10 - year risk of CVD (all P values &lt; 0.05). Glycated hemoglobin mediated in the above relationships.ConclusionIn a sample of US elderly diabetic patients, there is the U-shaped association of TyG index with CVD risk. This implies that TyG index can be regarded as an extremely important predictor for screening people at high risk of cardiovascular disease among elderly diabetic patients.
Prognostic analysis of esophageal cancer patients after neoadjuvant therapy
Authors: Dong Jing , Li Cheng , Wang Bingxiang , Li Yang , Wang Suzhen , Cui Hongxia , Gao Min 
Published: February 2025

BackgroundNeoadjuvant therapy is widely used for esophageal cancer (EC), but optimal treatment regimens and predictive factors for outcomes remain unclear. This study retrospectively analyzed data from EC patients who underwent neoadjuvant therapy.MethodsThe chi-square test or Fisher’s exact test was utilized to examine differences in general clinicopathological data between treatment benefit groups. Survival analyses were conducted using Kaplan-Meier methods. Cox univariate and multivariate regression analyses were employed to identify independent risk factors affecting overall survival (OS) in EC patients receiving different treatment modalities.ResultsThe study included 175 EC patients who underwent neoadjuvant therapy. Analysis of clinical benefit differences revealed that patients aged &lt; 65 years (P = 0.028) and those with esophageal squamous cell carcinoma (ESCC) (P = 0.027) were more likely to achieve a complete response, while N1 patients more frequently attained an objective response (P &lt; 0.001). OS analysis indicated that patients who did not receive immunotherapy exhibited better survival outcomes compared to those who did (P = 0.002). Patients with pretreatment N3 status demonstrated poorer survival compared to those with N0 (P = 0.004), N1 (P = 0.003), and N2 (P = 0.003) status. Among post-neoadjuvant EC patients who did not receive immunotherapy, those with primary tumors located in the middle esophagus (hazard ratio [HR], 0.181; 95% Confidence interval (CI) = 0.044-0.739; P = 0.017) and lower esophagus (HR, 0.163; 95%CI = 0.032-0.821; P = 0.028) demonstrated a better prognosis compared to patients with tumors in the upper esophagus. Notably, EC patients who did not receive immunotherapy after neoadjuvant therapy and underwent 3-6 cycles of therapy exhibited a poorer prognosis compared to those who received 1-2 cycles (HR, 2.731; 95%CI = 1.187-6.284; P = 0.018).ConclusionsIn conclusion, this study found that immunotherapy did not play a decisive role in neoadjuvant EC therapy. Instead, 1-2 cycles of chemotherapy or chemoradiotherapy were associated with a more favorable prognosis for these patients.
A bibliometric analysis of the advance of artificial intelligence in medicine
Authors: Lin Mian , Lin Lingzhi , Lin Lingling , Lin Zhengqiu , Yan Xiaoxiao 
Published: February 2025

IntroductionThe integration of artificial intelligence (AI) into medicine has ushered an era of unprecedented innovation, with substantial impacts on healthcare delivery and patient outcomes. Understanding the current development, primary research focuses, and key contributors in AI applications in medicine through bibliometric analysis is essential.MethodsFor this research, we utilized the Web of Science Core Collection as our main database and performed a review of literature covering the period from January 2019 to December 2023. VOSviewer and R-bibliometrix were performed to conduct bibliometric analysis and network visualization, including the number of publications, countries, journals, citations, authors, and keywords.ResultsA total of 1,811 publications on research for AI in medicine were released across 565 journals by 12,376 authors affiliated with 3,583 institutions from 97 countries. The United States became the foremost producer of scholarly works, significantly impacting the field. Harvard Medical School exhibited the highest publication count among all institutions. The Journal of Medical Internet Research achieved the highest H-index (19), publication count (76), and total citations (1,495). Four keyword clusters were identified, covering AI applications in digital health, COVID-19 and ChatGPT, precision medicine, and public health epidemiology. “Outcomes” and “Risk” demonstrated a notable upward trend, indicating the utilization of AI in engaging with clinicians and patients to discuss patients’ health condition risks, foreshadowing future research focal points.ConclusionAnalyzing our bibliometric data allowed us to identify progress, focus areas, and emerging fields in AI for medicine, pointing to potential future research directions. Since 2019, there has been a steady rise in publications related to AI in medicine, indicating its rapid growth. In addition, we reviewed journals and significant publications to pinpoint prominent countries, institutions, and academics. Researchers will gain important insights into the current landscape, collaborative frameworks, and key research topics in the field from this study. The findings suggest directions for future research.
Detection of hemodynamic changes in a porcine lipopolysaccharide model of systemic inflammation using dynamic light scattering measurements of the microcirculation
Authors: te Nijenhuis Louwrina H. , Gangaram-Panday Norani H. , Specht Patricia A. C. , Fine Ilya , Elstein Nimrod , Mik Egbert G. , Harms Floor A. , Reiss Irwin K. M. , van Weteringen Willem 
Published: February 2025

BackgroundThe microcirculation is affected during sepsis, yet there is currently no clinically available technology for sepsis detection in the microcirculation. This study aimed to detect microcirculatory changes using a dynamic light scattering (DLS) skin sensor during an endotoxic shock with a systemic inflammatory response in a porcine lipopolysaccharide (LPS) model.MethodsThirty female Yorkshire x Norwegian Landrace pigs were divided into three groups: control, LPS, and LPS with resuscitation. After baseline measurements, LPS (1.75 μg∙kg−1∙h−1) was administered in progressively increasing dosages in the LPS and resuscitation groups. Two mDLS™ sensors, placed centrally and peripherally, measured total blood flow (TBF), relative blood velocity (RBV), and relative hemodynamic indices (relHIs) 1 h before (T0) and 1, 2, and 3 h after LPS administration (T1, T2, and T3). New DLS parameters describing heart rate variability (high-and low-frequency components HF and LF) and self-similarity (the Hurst exponent) were calculated.ResultsNo differences in TBF, RBV, and HF values were seen between the study groups after LPS administration. LF was peripherally higher at T2 in subjects receiving LPS than in controls. RelHIs showed a change in blood distribution between T0 and T1 in the resuscitation group. Both intervention groups showed a Hurst exponent decrease centrally at T2 and peripherally already at T1.ConclusionChanges in microcirculatory parameters, relHIs, and the Hurst exponent, were recorded for 3 h following LPS administration. The Hurst exponent was significantly lower in the LPS and LPS with resuscitation groups than in controls. Further clinical studies are required to determine the sensitivity and specificity of the non-invasive mDLS™ sensor for sepsis detection.