bluuebunny/crossref_metadata_2025_split huggingface dataset:
KOMUNITAS MENDONGENG SEBAGAI UPAYA PENYADARAN AKTIVITAS MENDONGENG KEPADA ORANG TUA/WALI DAN GURU TK/SEDERAJAT DI KECAMATAN CARINGIN KABUPATEN SUKABUMI
Authors: Yulianeta Yulianeta , Sundusiah Suci , Halimah Halimah , Harini Yostiani Noor Asmi 
Published: July 2024

Kemajuan teknologi dan informasi tidak hanya berdampak positif berupa perkembangan ilmu pengetahuan, tetapi berdampak negatif bagi masyarakat kelas menengah dan pinggiran yang tidak siap menghadapi efek negatif arus informasi tersebut. Kecamatan Caringin, Kabupaten Sukabumi salah satu wilayah yang terkena dampak negatif informasi digital berupa perubahan sikap sosial masyarakat. Hal ini terlihat pada sikap abai orang tua dalam mendidik anak di rumah dan menyerahkan pendidikan pada sekolah. Sementara itu, SDM pendidik TK/RA belum semua memenuhi standar pendidik level sarjana. Pelatihan mendongeng di komunitas mendongeng “Lebah Madu” merupakan solusi alternatif dalam upaya penyadaran urgensi mendongeng untuk orang tua wali dan guru di Kecamatan Caringin, Sukabumi. Melalui komunitas tersebut diharapkan dapat terjalin sinergi antara orang tua wali dan guru untuk berkontribusi menyelesaikan problematika pendidikan anak melalui penggalakkan kegiatan mendongeng di rumah dan sekolah. Respons positif peserta terhadap kegiatan dan tindak lanjut kegiatan menunjukkan bahwa kegiatan memiliki daya manfaat dan motivasi terhadap orang tua dan guru.
MODEL PELATIHAN LITERASI DIGITAL UNTUK REMAJA USIA SEKOLAH
Authors: Sudana Dadang , Amir Amir , Suryana Deddy , Suherman Agus 
Published: July 2024

Pada abad yang serba canggih ini perkembangan berbagai macam teknologi terjadi sangat cepat. Teknologi menjadi alat yang mampu membantu sebagian besar kebutuhan manusia dan telah dapat digunakan oleh manusia untuk mempermudah melakukan apapun tugas dan pekerjaannya. Teknologi dapat membantu menjadikan dunia kita lebih terbuka, lebih damai, dan lebih adil. Dengan teknologi dunia dapat mengakhiri kemiskinan, mengurangi kematian ibu dan bayi, mempromosikan pertanian berkelanjutan dan pekerjaan yang layak, serta mencapai literasi universal. Tetapi teknologi juga dapat mengancam privasi, mengikis keamanan, dan memicu ketidaksetaraan. Oleh karena itu, Model Program Pengabdian kepada Masyarakat (PkM) ini dikonstruksi untuk mengedukasi khalayak sasaran mengenai hal-hal berupa: Undang undang Internet dan Transaksi Elektronik, Hoaks, Bullying dan Cyberbullying, pengidentifikasian informasi yang kredibel, dan pemanfaatan teknologi digital dalam pembelajaran. Metode yang digunakan pada model PkM ini yaitu pelatihan dan pendampingan. Khalayak sasaran yang dilibatkan ialah remaja yang merupakan representasi generasi digital native yang mengikuti pendidikan formal tingkat menengah di daerah Pantura Subang Jawa Barat. Model PkM ini diharapkan dapat dipergunakan pada program program PkM sejenis dalam pelatihan kemampuan literasi digital khalayak sasaran, sehingga kehadiran teknologi digital dapat menjadi lebih bermakna umumnya dalam kehidupan sehari-hari dan khususnya dalam proses pembelajaran.
Implementasi Kegiatan Membaca Nyaring dalam Meningkatkan Keterampilan Membaca Permulaan Anak Usia 5-6 Tahun
Authors: Masliyah Masliyah , Kurniawaty Lia 
Published: July 2024

Kemampuan membaca permulaan merupakan salah satu materi dalam bidang kemajuan bahasa yang harus dikembangkan di taman kanak-kanak. Guru diharapkan lebih efektif dan kreatif dalam menciptakan cara-cara untuk memberdayakan peningkatan kemampuan membaca awal pada anak. Dengan kegiatan membaca nyaring menjadi salah satu aktivitas dalam meningkatkan kemampuan membaca permulaan pada anak usia dini. Penelitian ini bertujuan untuk mengetahui upaya peningkatan membaca permulaan pada anak usia 5-6 tahun melalui kegiatan membaca nyaring di PAUD Nurul Jannah Kedaung Pamulang, penelitian ini menggunakan metode Penelitian Tindakan Kelas (PTK) Kemmis dan Taggart dengan subjek penelitian usia 5-6 tahun di Paud Nurul Jannah Kedaung Pamulang yang berjumlah 10 orang. Teknik pengumpulan data dilakukan melalui observasi, dokumentasi, dengan prosedur perencanaan, pelaksanaan, observasi dan refleksi. Penelitian ini dilakukan dalam dua siklus. Teknik pengolahan dan analisis data yang digunakan dalam penelitian ini adalah analisis data kualitatif dan kuantitatif, keberhasilan tindakan dapat dilihat pada pencapaian keterampilan membaca awal pada anak usia 5-6 tahun melalui kegiatan membaca nyaring pada pra siklus terdapat pencapaian sebanyak 40%, pada siklus 1 menunjukkan peningkatan sebesar 60% dan pada siklus 2 meningkat menjadi 80%. Kegiatan membaca nyaring dilakukan oleh peneliti dengan ekspresi dan intonasi ekspresif untuk menarik minat anak. Kegiatan membaca nyaring dapat dijadikan sebagai kegiatan untuk meningkatkan kemampuan membaca awal pada anak usia 5-6 tahun.
Field Validation of the First Recorded Historically Major (Mw &gt;7) Earthquake in China Based on the Age of the Landslide-Dammed Lake
Authors: Shi Wenfang , Yin Jinhui , Mudd Simon M. , Xu Wei , Zheng Yonggang 
Published: July 2024

Abstract
The first major (Mw&gt;7) earthquake in the Chinese historical catalog is recorded to have occurred near Qishan, in Shaanxi Province, and is entered for the year 780 B.C., but there is limited field evidence of its effects. Previous satellite images and field surveys have shown that there is a cluster of ancient seismic landslides about 50 km long in the northern margin of the Qinling Mountains, south of Qishan, which is the macroepicenter of the 780 B.C. Qishan earthquake. However, the actual age of the landslide group is debated. To constrain this age, we examined a &gt;1 m thick lacustrine deposit above the landslide gravel of a dammed lake impounded by the largest of several landslides near its inferred macroseismic epicenter and determined these were deposited 758–486 B.C. This date is sufficiently close to the catalog age that we infer that this landslide was triggered by the 780 B.C. historical event. This lends credibility to the historical account and resolves earlier speculation based on disputed dates of surface materials on the landslide. We also re-evaluated the magnitude of the 780 B.C. Qishan earthquake and found that it could plausibly be higher than Ms 7.8 (Mw 7.5). The possible seismogenic structure belongs to the Longxian–Qishan–Mazhao fault. This work updated the damage area of the Qishan earthquake and helped us revise the seismic parameters of the historical earthquake.
Toward Real-Time Ground-Shaking-Intensity Forecasting Using ETAS and GMM: Insights from the Analysis of the 2022 Taitung Earthquake Sequence
Authors: Hsieh Ming-Che , Chan Chung-Han , Ma Kuo-Fong , Yen Yin-Tung , Chen Chun-Te , Chen Da-Yi , Mika Liao Yi-Wun 
Published: July 2024

Abstract
Earthquake forecasting, combined with precise ground-shaking estimations, plays a pivotal role in safeguarding public safety, fortifying infrastructure, and bolstering the preparedness of emergency services. This study introduces a comprehensive workflow that integrates the epidemic-type aftershock sequence (ETAS) model with a preselected ground-motion model (GMM), facilitating accurate short-term forecasting of ground-shaking intensity (GSI), which is crucial for effective earthquake warning. First, an analysis was conducted on an earthquake catalog spanning from 1994 to 2022 to optimize the ETAS parameters. The dataset used in this analysis allowed for the further calculation of total, background, and clustering seismicity rates, which are crucial for understanding spatiotemporal earthquake occurrence. Subsequently, short-term earthquake activity simulations were performed using these up-to-date seismicity rates to generate synthetic catalogs. The ground-shaking impact on the target sites from each synthetic catalog was assessed by determining the maximum intensity using a selected GMM. This simulation process was repeated to enhance the reliability of the forecasts. Through this process, a probability distribution was created, serving as a robust forecasting for GSI at sites. The performance of the forecasting model was validated through an example of the Taitung earthquake sequence in September 2022, showing its effectiveness in forecasting earthquake activity and site-specific GSI. The proposed forecasting model can quickly deliver short-term seismic hazard curves and warning messages, facilitating timely decision making.
Bio-efficacy of Sorghum Extract and Herbicide on Weed Dynamics and Productivity of Wheat in Western Rajasthan
Authors: Kikraliya Devi Lal , Shukla U.N. , Mehriya M.L. , Kumar Anuj , Bijarnia K.K. 
Published: July 2024

Background: Integrated application of sorghum extract along with herbicides are viable option for reducing herbicidal dose and their effect in soil and plant. This led to reduce environmental pollution as well as check the growth of weeds in the crop without having detreating effect on crop. Therefore, an integrated approaches involving botanicals conjunctive with herbicide will be the alternatives to reduce post-effects of herbicide. an it is Sorgoleone is the allelochemicals which is present in sorghum and having potential to suppress the growth of weeds at early stage by checking water and nutrient absorption. The basic aim of the study to calibrate the potential of sorghum extract on weed suppression as well as to reduce the quantity of herbicides in wheat crop. Methods: A field experiment entitled “Bio-efficacy of sorghum extract and herbicide on weed dynamics and productivity of wheat in western Rajasthan” was conducted at Instructional Farm, College of Agriculture, Jodhpur (Rajasthan) during rabi season of 2021-22. The experiment was conducted in randomized block design replicated thrice and comprised of eleven treatments of weed management practices. Result: Sequential application of sorghum extract (1:3) + ready-mix of clodinafop + metsulfuron 64 g/ha as post-emergence was found to be the most effective in controlling weeds which led to significant reduction in weed density and weed dry weight with highest weed control efficiency showed significant superiority over all treatments.
Predictors and etiology of in-hospital mortality in patients with acute myocardial infarction
Authors: Hoang T. H. , Maiskov V. V. , Merai I. A. , Kobalava Z. D. 
Published: July 2024

Aim. To identify factors and develop a clinical risk model (nomogram) for in-hospital mortality in patients with acute myocardial infarction (AMI) after timely early invasive diagnosis and revascularization of infarct-related artery (IRA).Material and methods: We conducted a prospective, single-center observational study that included 712 consecutive patients with AMI [median age 65 (interquartile range 56-74 years), 61% were male, 47.8% with ST-elevation] who underwent coronary angiography <24 hours after symptom onset and successful endovascular revascularization of IRA. The primary endpoint was in-hospital mortality. Logistic regression analysis was used to identify independent prognostic risk factors for in-hospital mortality. Based on the multivariate analysis, a nomogram was developed to predict outcome. The discriminative ability of the nomogram was assessed by calculating the area under the receiver operating characteristic (ROC) curve.Results. The in-hospital mortality rate was 5.06%. The most common cause of in-hospital mortality was acute heart failure (AHF, 75%), followed by myocardial rupture with cardiac tamponade (11.1%). Multivariate analysis revealed that age (odds ratio (OR) 1.07, 95% confidence intervals (CI) 1.01-1.14, p=0.027), Killip class (OR 2.95, 95% CI 1.67-5.23, p<0.001), hemoglobin at admission (OR 0.97, 95% CI 0.95-0.99, p=0.006), and left ventricular ejection fraction (LVEF) ≤36% (OR 8.87, 95% CI 2.95-26.69, p<0.001), were independent predictors of adverse outcome. The identified predictors were included a nomogram, which demonstrated excellent discrimination in predicting in-hospital mortality (area under the ROC curve = 0.949, 95% CI: 0.925-0.972, p<0.001, sensitivity: 91.3%, specificity: 89.9%) and good calibration (Hosmer-Lemeshow test, p=0.93).Conclusions. Age, hemoglobin at admission, Killip class and left ventricular ejection fraction were independent predictors of in-hospital mortality in acute MI. The most common etiology of in-hospital mortality was AHF. The nomogram for prediction of in-hospital mortality demonstrated high prognostic potential, allowing for the identification of patients at high-risk of adverse outcome, and targeted therapeutic strategies may be needed to improve the survival of patients with acute MI.
Digital model for predicting the risk of developing acute decompensated heart failure
Authors: Lebedeva N. B. , Egle A. P. , Argunova Yu. A. , Barbarash O. L. 
Published: July 2024

Aim. Development and external validation of a risk prediction model for acute decompensated heart failure (ADHF) in patients with low left ventricular ejection fraction.Material and methods. The model development group was represented by patients with heart failure with reduced ejection fraction (HFrEF) included in a registry observational study from 2015 to 2019, a total of 260 patients, age 59 (53; 66) years, 214 (82.3%) — men. External validation of the model was carried out in a cohort of independent prospective observation of 94 patients with HFrEF from the same registry for the period from 2020 to 2021, median age 66 (52;73) years, of which 73 (77.6%) were men. The prospective follow-up period was 4.6 (2.3; 4.9) years in the internal validation group, 2.5 (1.7; 2.9) years in the external validation group. Data were obtained on the status of patients, causes of death, and the frequency of hospitalizations for ADHF. The actual and predicted incidence of ADHF using the evaluated prognostic model was compared.Results. During the observation period in the internal validation group, ADHF developed in 69 (26.5%) patients, and 47 (18.1%) died due to ADHF. The prognostic regression model included LA enlargement of more than 45 mm, male gender, left ventricular ejection fraction less than 35%, absence of renin-angiotensin system blocker and amiodarone. When performing ROC analysis, the area under the ROC curve (AUC) of the created model was 0.8, sensitivity model — 69.2%, specificity — 80%, accuracy — 75.3%. In the external validation group, 34 (36.2%) cases of ADHF were registered; mortality from ADHF in the external validation group was 15.9%, which is comparable to the development group (p > 0.05). The diagnostic value of the developed model during external validation showed to be high and was comparable to the results obtained in the development group: the area under the ROC curve (AUC) was 0.8, sensitivity — 73.3%, specificity — 82.5%, accuracy 76.1%, (p=0.102, McNeil test).Conclusion. The developed regression model has sufficient statistical power to predict the risk of ADHF in patients with low left ventricular ejection fraction in the long term, which is confirmed by external validation.
A comparative study of circulating microRNA expression in blood in patients with coronary artery atherosclerosis and thoracic aortic aneurysm
Authors: Ngo Bilong E. A.V. , Vasiliev S. V. , Rozhkov A. N. , Stonogina D. A. , Shchekochikhin D. Yu. , Filippova Y. I. , Dzhafarova Ch. VK. , Nurutdinov N. P. , Zhelankin A. V. , Generozov E. V. , Akselrod A. S. , Kopylov Ph. Yu. , Syrkin A. L. 
Published: July 2024

Aim. To compare the relative expression levels of circulating microRNAs associated with cardiovascular diseases, selected according to the literature review, in the blood plasma samples of patients with two variants of chronic vascular wall injury: coronary artery atherosclerosis (CAA) and thoracic aortic aneurysm (TAA).Material and methods. Patients admitted to the Clinical Center of the I. M. Sechenov First Moscow State Medical University (University Clinical Hospital No. 1) with CAA (n=45), TAA (n=38), as well as a control group (n=17) were included. Standard clinical and demographic, laboratory and instrumental data were collected in accordance with Russian clinical guidelines, and additional sampling and preparation of blood plasma of patients was carried out with further quantitative determination of the circulating microRNAs level via real-time polymerase chain reaction with reverse transcription. A comprehensive comparative analysis of the profiles of circulating microRNAs in the blood plasma of patients with two different variants of arterial pathology: atherosclerosis and aneurysmal changes, as well as with the control group was carried out. The levels of 12 circulating microRNAs were studied: miR-21-5p, -23a-3p, -29b-3p, -92a-3p, -126-5p, -143-3p, -145-5p, -146a-5p, -150-5p, -181b-5p, 2-23-3p and -451a.Results. The strongest difference with the control group in patients with CAA and TAA was observed for miR-21-5p, -29b-3p and -126-3p. Most of the circulating microRNAs studied were higher in the TAA group compared with CAA and controls these include miR-21-5p, -23a-3p, -29b-3p, -92a-3p, -126-3p, -126-5p, -146a-5p, -150-5p, -181b-5p. Significant differences between the pathology groups were noted for miR-126-3p and miR-205-5p. Some microRNAs (­miR-143-3p, -92 a3, -195-5 p) can be used to diagnose coronary artery atherosclerosis, other microRNAs (miR-21-5p, -23a-3p, -126-3p, -126-5p, -451a) are TAA-specific.Conclusion. The present study showed significant differences in the circulating microRNAs in patients with atherosclerotic and aneurysmal lesions of the arteries in comparison with the control group. The most significant difference between norm and pathology was found for miR-21-5p, -29b-5p and -126-3p. The levels of miR-126-3p and -205-5p can be used to differentiate CAA and TAA.
Generalized Joint Hypermobility Is Associated with Type-A Hip Dysplasia in Patients Undergoing Periacetabular Osteotomy
Authors: Ping Hangyu , Kong Xiangpeng , Zhang Hong , Luo Dianzhong , Jiang Qing , Chai Wei 
Published: July 2024

Background:
Joint hypermobility may be associated with developmental dysplasia of the hip (DDH), but no definite conclusion has been reached. On the basis of long-term clinical observations, we hypothesized that joint hypermobility was associated with the occurrence, imaging findings, and clinical symptoms of DDH.

Methods:
We conducted a case-control study that included 175 Chinese Han patients between 13 and 45 years of age with Hartofilakidis type-A hip dysplasia. All of these patients underwent periacetabular osteotomy (PAO) between November 2021 and February 2023. An additional 76 individuals of comparable age and sex but without hip dysplasia were selected from the general population to serve as healthy controls. The Beighton 9-point scoring system was used to evaluate joint hypermobility, and a score of ≥4 was defined as generalized joint hypermobility. Standing anteroposterior pelvic radiographs were reviewed. For patients with DDH, the lateral center-edge angle, Tönnis angle, Sharp angle, lateralization of the femoral head, and patient-reported outcomes (iHOT-12, HHS, and WOMAC) were also collected to determine the radiographic severity or clinical symptoms of DDH.

Results:
Patients with DDH had an elevated prevalence of generalized joint hypermobility compared with that in the healthy population (27% versus 12%; p = 0.009). Among patients with DDH, those with concomitant generalized joint hypermobility had lower lateral center-edge angles (3.55° versus 9.36°; p = 0.012), greater lateralization of the femoral head (13.78 versus 12.17 mm; p = 0.020), greater standardized lateralization of the femoral head (0.64 versus 0.54; p = 0.009), and lower iHOT-12 scores (35.22 versus 40.96; p = 0.009) than did those without concomitant generalized joint hypermobility. Further multivariable linear regression analysis revealed that higher Beighton scores and younger age were predictive of more severe hip dysplasia. However, the Beighton score was not found to be independently associated with patient-reported outcomes according to multivariable linear regression analysis.

Conclusions:
The prevalence of generalized joint hypermobility was greater in patients with DDH than in healthy controls. A higher degree of joint hypermobility was also correlated with more severe hip dysplasia. These results suggest that joint laxity, in addition to bone or cartilage factors, is an important factor related to DDH.

Level of Evidence:
Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.
WITHDRAWN: Unleashing the Power of YOLOv8 for Accurate Bengali Mathematical Expression Detection
Authors: Imran Izazul Hoq , Das Tropa , Galib Asadullah Hel , Roy Tanni 
Published: July 2024

Abstract

The full text of this preprint has been withdrawn by the authors as it was submitted and made public without the full consent of all the authors. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Analysis of Errors in Medical Certificates of Cause of Death (MCCD) at a Tertiary Care Institute in 2022
Authors: SHARMA NANDITA , Singh Mahendra , Bahurupi Yogesh , Aggarwal Pradeep 
Published: July 2024

Abstract

Medical Certificates of Cause of Death (MCCD) play a pivotal role in shaping national health statistics and public health initiatives. This study investigates the quality of MCCD completion at a Tertiary Care Institute in India, focusing on certification errors made by physicians while issuing death certificates. Methods: Using a retrospective, cross-sectional approach, 1603 MCCDs issued during the study period were analyzed for formal correctness and mistakes. The study employed predefined categories to assess the nature and impact of these errors. While this research did not verify the factual accuracy of the MCCDs against patients' medical records, it categorized errors into major and minor, based on their potential to influence the accurate classification of the underlying cause of death. Results: The study showed the presence of errors in all 1603 death certificates examined, categorizing them as major, minor, or both. Notably, 99.2% of cases lacked the mention of the time interval between death and the morbid condition. Analysis of major errors indicated that in 64.60% of cases, competing causes of death were mentioned, while 77.4% featured multiple causes of death. Furthermore, improper sequencing of the cause of death was identified in 11.2%, whereas 7.9% had poorly defined conditions as the cause of death. Conclusion: To improve the quality of healthcare data and public health management, these findings highlight the necessity for precise MCCD reporting and the significance of comprehending mortality patterns. For informed decision-making and changes to the healthcare system, addressing the found errors and patterns is essential.