bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGEMBANGAN MEDIA BELAJAR BARET ARGEO BERBASIS ROLE PLAYING GAME TERHADAP MINAT BELAJAR SISWA
Authors: Faiz Muhammad Ikhsan , Wibowo Teguh , Darminto Bambang Priyo 
Published: November 2021

This research aims to establish a valid, practical, and effective media in the form of a game called Baret Argeo for students interest in learning at Senior High School 6 of Purworejo during online learning. This research is a development study that employs the ADDIE method (analysis, design, development, implementation, evaluation).A required analysis is carried out according to pandemic conditions during the analysis stage. The Baret Argeo design and components were produced during the design stage. Validation was carried out by content experts with a value of 3.93 (valid) and media experts with a value of 4.46 at the production level (very valid).which was then put to the test on 18 students in a practicality test with a score of 4.03 (very practical). Then the implementation of the 18 students used the Argeo Beret which was compared with the other 18 students who used the Student Worksheet (LKS) using the t test comparative analysis. The result is with 4.4881> 2.0322 then is rejected or it can be said that students' interest in learning using Beret Argeo is better than students using LKS. At the evaluation stage, the Argeo Beret is reserved to be used in a wider range of mathematics learning. This research has implications for students' interest in learning in the middle of distance learning.
The Third-level Digital Divide among Elderly Hungarians in Romania
Authors: Tőkés Gyöngyvér Erika 
Published: November 2021

AbstractThe aim of the present study is to examine the characteristics of the third-level digital divide among elderly Hungarians (over 65 years of age) in Romania. The third level of digital divide indicates the emergence of digital habits in the Bourdieusian sense, which provide real benefits in different areas of everyday life. Hungarian elderly people in Romania are clearly lagging in terms of the third-level digital divide. The explanation for this is partly to be found in the limits imposed by the characteristics of their age and partly in their socio-economic situation. Elderly Hungarian people in Romania tenaciously adhere to their usual ways of life and previously established daily habits, and their repertoire does not integrate the use of digital technology. The results obtained in this study of elderly Hungarians in Romania are in line with the research results of digital inequalities, according to which there is a relationship between the degree of digital competence, the structure and usefulness of digital activities, and inequalities according to the traditional dimensions of social stratification (economic, cultural, individual).
Аналіз чинників, що впливають на успішність веб ресурсів підрозділів закладів вищої освіти
Authors: Селіванова А. В. , Бодюл О. С. , Коробов В. С. 
Published: November 2021

У статті розглядається процес виявлення та дослідження чинників, що впливають на успішність веб ресурсів підрозділів закладів вищої освіти (ЗВО). В процесі дослідження проведено аналіз робіт присвячених цьому питанню, проведено аналіз існуючих популярних серед користувачів веб ресурсів, виявлено критерії оцінки таких систем. В роботах інших авторів, які проводили аналогічні дослідження, аналізуються чинники, які впливають на підвищення якісного рівня веб-сайтів, доведено, як важливо підвищувати комунікативну функціональність сайту, його відвідуваність та відгук аудиторії. Для досягнення мети, поставленої авторами даної роботи, було проведено опитування серед потенційних споживачів веб ресурсів. Розподіл респондентів за віком та фаховими категоріями дозволило виявити, що в основному споживачами сайтів кафедр ЗВО є здобувачі освіти. Аналіз результатів проведеного опитування користувачів сайтів ЗВО допоміг виявити чинники, що впливають на їх успішність та побудувати модель успішності веб ресурсів підрозділів ЗВО, яка стала важливим інформативним фактором для прийняття рішення про дизайн, елементи та зміст нової веб системи. Розроблена модель впроваджена у процесі розробки нового веб-ресурсу кафедри Інформаційних технологій та кібербезпеки ОНАХТ, що забезпечило підвищення ефективності подачі інформації, привабливість та затребуваність зазначеного ресурсу. Отримані в дослідженні результати можуть використовуватися при побудові різноманітних інформаційних ресурсів підрозділів закладів вищої освіти для підвищення їх привабливості, інформативності та відвідуваності. планується подальша робота з вдосконалення розробленої моделі і веб системи, що її використовує.
miRNA Expression Profiling Regulates Epithelial Mesenchymal Transition in 125I Seed Irradiation of Gastric Carcinoma Cell
Authors: Ma Zhenhuan , Li Zhen , Zou Lei , Li Guojian , Bao Yan , Du Lingjuan , Yang Yong 
Published: November 2021

Abstract
Backgroud The aim of this study is to examine miRNA profiling and miR-1285-3p participates in 125I seed irradiation of gastric carcinoma cell via the regulation of epithelial mesenchymal transition (EMT). Methods An in vitro I-125 seed irradiation model was established, followed by the small RNA-Sequencing to investigate the full spectrum of miRNAs that are response to I-125 seed implantation. Validation was performed with quantitative real time PCR (qRT-PCR). qRT-PCR was also employed to measure miR-1285-3p and EMT-related mRNAs expression. Western blotting assay was performed to test the expression of EMT-related proteins. Luciferase reporter assay was conducted to confirm the direct targeting of SMAD2/3 and SMAD4 by miR-1285-3p.Results A total of 1034 miRNAs were initially detected. Of these, 11 miRNAs were significantly differentially expressed between I-125 seed irradiation and control groups. Six miRNAs (hsa-miR-127-3p, hsa-miR-1285-3p, hsa-miR-296-5p, hsa-miR-421, hsa-miR-495-3p, and hsa-miR-548am-3p) were up regulation and five miRNAs (hsa-miR-17-5p, hsa-miR-193b-5p, hsa-miR-23b-5p, hsa-miR-483-5p, hsa-miR-92a-1-5p) were down regulation between I-125 seed irradiation treatment and control groups. EMT is involved in gastric cancer cells treatment with I-125 seed implantation, and downregulation of miR-1285-3p can repress EMT through its targeting of SMAD pathway, which make miR-1285-3p a novel target of I-125 therapeutic intervention for human gastric cancer.Conclusions This study revealed that miR-1285-3p inhibited EMT by targeting SMAD pathway in 125I seed irradiation of gastric carcinoma.
Assessing Equivalent and Inverse Change in Genes Between Diverse Experiments
Authors: Neums Lisa , Koestler Devin C. , Xia Qing , Hu Jinxiang , Patel Shachi , Bell-Glenn Shelby , Pei Dong , Zhang Bo , Boyd Samuel , Chalise Prabhakar , Thompson Jeffrey A. 
Published: November 2021

Abstract
Background: It is important to identify when two exposures impact a molecular marker (e.g., a gene’s expression) in similar ways, for example, to learn that a new drug has a similar effect to an existing drug. Currently, statistically robust approaches for making comparisons of equivalence of effect sizes obtained from two independently run treatment versus control comparisons have not been developed. Results: Here, we propose two approaches for evaluating the question of equivalence between effect sizes of two independent studies: a bootstrap test of the Equivalent Change Index (ECI), which we previously developed, and performing Two One-Sided t-Tests (TOST) on the difference in log-fold changes directly. The ECI of a gene is computed by taking the ratio of the effect size estimates obtained from the two different studies, weighted by the maximum of the two p-values and giving it a sign indicating if the effects are in the same or opposite directions, whereas TOST is a test of whether the difference in log-fold changes lies outside a region of equivalence. We used a series of simulation studies to compare the two tests on the basis of sensitivity, specificity, balanced accuracy, and F1-socre. We found that TOST is not efficient for identifying equivalently changed gene expression values (F1-score = 0) because it is too conservative, while the ECI bootstrap test shows good performance (F1-score = 0.96). Furthermore, applying the ECI bootstrap test and TOST to publicly available microarray expression data from pancreatic cancer of tumor tissue and peripheral blood mononuclear cells (PBMC) showed that, while TOST was not able to identify any equivalently or inversely changed genes, the ECI bootstrap test identified genes associated with pancreatic cancer, intestinal cancer, and other disease types associated with pancreatic cancer. Conclusion: A bootstrap test of the ECI is a promising new statistical approach for determining if two diverse studies show similarity in the differential expression of genes and can help to identify genes which are similarly influenced by a specific treatment or exposure.
Urinary Proteome Changes in Global Cerebral Ischemia-Reperfusion Injury Rat Model Using Proteomics
Authors: Sun Xiaopeng , Li Qiujie , Wang Mingshan , Qin Weiwei 
Published: November 2021

Abstract
Background

Cerebral ischemia-reperfusion (I/R) injury is the leading cause of death in severe hypotension caused by cardiac arrest, drowning, and excessive blood loss. Urine can sensitively reflect pathophysiological changes in the brain even at an early stage.
Methods

In this study, a rat model of global cerebral I/R injury was established via Pulsinelli’s four-vessel occlusion (4-VO) method. The proteomics techniques of data-independent acquisition (DIA) and parallel reaction monitoring (PRM) were applied to profile the urinary proteome. The differentially expressed proteins were subjected to Gene Ontology (GO) and protein-protein interaction (PPI) analysis.
Results

One hundred and sixty-four proteins significantly differed in the 4-VO rat urine samples compared to the control samples (1.5-fold change, p<0.05). GO analysis showed that the acute-phase response, the ERK1 and ERK2 cascade, endopeptidase activity, blood coagulation, and angiogenesis were overrepresented. After PRM validation, fifteen differentially expressed proteins were identified, and their expression was consistent with the DIA quantification. The abundance of FGG, COMP, TFF2, and HG2A was significantly changed only at 12 h after I/R injury. APOE, FAIM3, FZD1, IL1R2, UROK and CD48 were upregulated only at 48 h after I/R injury. KNG1, CATZ, PTGDS, PRVA and HEPC showed an overall trend of upregulation or downregulation at 12 and 48 h after I/R injury, reflecting the progression of cerebral I/R injury.
Conclusion

In this study, fifteen differentially expressed urinary proteins were identified and validated in a 4-VO rat model. Eight of these proteins were reported to be associated with cerebral I/R injury. These findings provide important clues to inform the monitoring of cerebral I/R injury and further the current understanding of its molecular biological mechanisms.
Robust Application of Supervised Machine Learning Techniques for Cause of Death Determination from Verbal Autopsies
Authors: Mapundu Michael T. , Kabudula Chodziwadziwa W. , Musenge Eustasius , Olago Victor , Celik Turgay 
Published: November 2021

Abstract
Background: Verbal Autopsy (VA) is a tool commonly used in low to medium income countries to ascertain cause of death, where most deaths are not assigned a medically certified cause. As such, they strengthen health priorities, inform policy, practice and provide vital information where civil registration systems are weak. Physician diagnosis is used as a gold standard to determine cause of death, from VA interviews even though it is inconsistent and expensive. Alternatively, conventional computer algorithms and machine learning approaches have been applied.However, they fail to perform optimally because of data quality and ineffective strategies that they employ. We present a robust machine learning framework that can accurately classify cause of death using only narratives from VA interviews. Methods: Experiments started with data acquisition of the VA narratives, followed by data preprocessing. We created numeric vectors to represent the narratives using various feature engineering techniques for twelve cause of death categories. Furthermore, we applied data balancing, feature scaling, hyper-parameter tuning and dimensionality reduction in order to improve model performance. We applied eight different classification approaches to the vectors to generate model predictors of cause of death. Validation was done using Precision, Recall, Accuracy, F1-score and Receiver Operating Characteristic Area Under Curve (ROCAUC). Results: We used the physician diagnosis as our gold standard for validation of our models. Our five best classifiers attained a Precision, Recall, Accuracy and F1-score of 95%, 94%, 93%, 92% and 91% respectively in cause of death classification of all twelve disease categories. We report on Micro-Average ROCAUC of 96% and Macro-Average ROCAUC of 95% of our twelve classes. Conclusion: Our proposed robust machine learning framework can be a faster and cost effective way to determine cause of death from rich informative unstructured VA narratives. This study can also serve as a benchmark of model comparability and generalisation of machine learning models in determining cause of death using VA data. Our study was limited in terms of data quality. Future work aims at using combined responses and narratives for our models and also applying deep learning architectures for cause of death classification using VAs.
Application of Polymer Clip to Ligate the Distal Ureter in Retroperitoneal Laparoscopic Radical Nephroureterectomy
Authors: Wang Chunyang , Yu Hongkai , Song Yong , Zhang Lei , Zhang Fan , Fu Weijun , Chen Guangfu , Sun Shengkun , Zhang Xu 
Published: November 2021

Abstract
Purpose：Distal ureter management in radical nephroureterectomy (RNU) is challenging. Methods: This study describes a simple endoscopic clip technique with polymer clip ligation for the management of the distal ureter during retroperitoneal laparoscopic RNU. This endoscopic technique was used in 14 patients with upper tract urothelial carcinoma (UTUC). Transurethral resection of the bladder cuff was performed using a bipolar β electrode (mounted on resectoscope). Subsequently, a Super Scope (S-scope) with a 5-mm-diameter dual working channel was used with clip applier to deliver the polymer clips, which consequently ligated the ureteral stump and avoided urine spillage from the upper tract. Results: Distal ureter was managed successfully in all 14 cases using polymer clip, without any cases of urine spillage. Conclusions: Therefore, polymer clip ligation technique provides a simple and safe option for distal ureter management in retroperitoneal laparoscopic RNU.
Biochemical Studies on Cerebrospinal Fluid in Patients With Unresponsive Wakefulness Syndrome: Toward a Potential Search for Biomarkers
Authors: Cheng Lijuan , yuehong huang , Luo Yan , Yang Hao , Hu Xiaohua , Shen Jianzhong , Huang Wangshan , Nie Yunzhi , Di Haibo 
Published: November 2021

Abstract
Background: This study aimed to examine and screen patients for potential biomarkers for the diagnosis of unresponsive wakefulness syndrome (UWS). Methods: Patients with UWS, patients who regained consciousness (RC; patients in a minimally conscious state), and patients who had emerged from the minimally conscious state were evaluated using the Coma Recovery Scale-Revised (CRS-R). Cerebrospinal fluid (CSF) was collected from five healthy controls and 10 patients (5 UWS; 5 RC). Two-dimensional electrophoresis and proteomic analysis were used to examine and identify differentially expressed proteins in the CSF. Results: Compared with the control group, there were at least six proteins expressed at higher levels and two proteins expressed at lower levels in the CSF of the RC group than in the CSF of the UWS group. However, expression of vitamin D-binding protein (VDP) showed a further increase of 4.52-fold, that of DNA replication licensing factor mini-chromosome maintenance 4 (MCM4) showed a reduction of -20.61-fold, and that of hemoglobin subunit beta reversed to -8.34-fold in the UWS group. Another converse expression was of protein coenzyme Q-binding protein COQ10 homolog A (COQ10A), which was -4.31-fold in the RC group and 1.51-fold in the UWS group, compared to the control group. Expression of other proteins demonstrated an ascending trend in the RC group compared to the control group. Conclusions: The three differentially expressed proteins, VDP, DNA replication licensing factor MCM4, and hemoglobin subunit beta, may be involved in consciousness maintenance. This study identified potential biomarkers for UWS and will provide new insights into the pathogenesis of UWS.
Different concentrations of Chinese medicine Xiaoyingdaotan Decoction on Hashimoto’s thyroiditis mouse model
Authors: Zhou Yingjia , Shen Hongmei , Wen Weibo 
Published: November 2021

Abstract
Background

Through the detection of Notch/Treg/Th17 pathway related factors, to explore the effect of different concentrations of Chinese medicine Xiaoyingdaotan Decoction on Hashimoto's thyroiditis mouse model.
Methods

To make the mouse model of Hashimoto's thyroiditis, and to administer the Chinese medicine Xiaoyingdaotan Decoction of different concentrations by gavage. After the treatment, the expression of serum Notch protein and Treg/Th17 cytokine levels in mice were detected. The quantitative data conformed to the normal distribution with t test, and did not conform to the normal distribution with Wilcoxon rank sum test.
Results

The serum Notch protein expression of mice in the model group was significantly higher than that of the other groups, and the difference was statistically significant (P<0.001). Comparing the high-dose Chinese medicine group with the low-dose Chinese medicine group and the model group, the level of the key activation protein FOX-P3 in serum of Treg cells in mice was significantly increased, and the difference was statistically significant (P<0.05). Compared with the model group, the serum TGF-β levels of each group of traditional Chinese medicine were significantly higher than that of the model group, and the difference was statistically significant (P<0.05). The levels of key activating proteins STAT3, RORγt and IL-22 in serum of Th17 cells in each group of traditional Chinese medicine mice were significantly lower than those in the model group, with statistical differences (P<0.05).
Conclusion

Different concentrations of Chinese medicine Xiaoyingdaotan Decoction can down-regulate the expression of Notch protein in HT mouse model, and can effectively regulate Treg/Th17 cytokines.
Feline Pleural Effusions: Prevalence and Radiographic Signs Predicting Disease Aetiology
Authors: Hung Lily , Hopper Belinda Judith , Hillman Alison , Lenard Zoe 
Published: November 2021

Abstract
Background:The objectives of the study were to determine the prevalence of underlying conditions causing pleural effusion in cats and to calculate the positive predictive values, negative predictive values, sensitivity and specificity of radiographic signs.Methods:Data from 151 cats diagnosed with pleural effusion with known aetiologies were retrospectively analysed. Seventy-one patients’ thoracic radiographs were available for a prospective, blinded evaluation by two radiologists. Results:Congestive heart failure (52.3%) was the most common diagnosis, followed by neoplasia (21.9%), pyothorax (10.6%), idiopathic chylous effusion (5.3%), feline infectious peritonitis (1.3%) and Other or cats with multiple diagnoses (total 9.3%). Cats with an enlarged cardiac silhouette had a high positive predictive value of congestive heart failure (73% and 81% for radiologist 1 and 2 respectively). The presence of unilateral effusion was highly predictive of pyothorax (75%) for radiologist 1 and poorly predictive (20%) for radiologist 2. Mediastinal masses (100%, 83% for radiologist 1 and 2 respectively), pulmonary nodules (50%, 50%) and pulmonary masses (50%, 67%) had moderate probabilities of neoplasia. The remainder of the radiographic variables were not informative predictors of underlying disease. Conclusions:In our population of cats, congestive heart failure was the most common cause of pleural effusion. Radiographically enlarged cardiac silhouette, presence of a mediastinal mass and unilateral effusion may be useful predictors of aetiology. Limitations of radiography alone as a diagnostic tool are discussed.
Neurocognitive effects of repeated ketamine infusion treatments in patients with treatment resistant depression: A retrospective chart review
Authors: Dai Danika , Miller Courtney , Valdivia Violeta , Boyle Brian , Li Shuang , Seiner Steve , Meisner Robert 
Published: November 2021

Abstract
BackgroundKetamine has emerged as a rapid-acting antidepressant in treatment-resistant depression (TRD) increasingly used in non-research, clinical settings. Few studies, however, have examined neurocognitive effects of repeated racemic ketamine infusion treatments in patients with TRD. In an effort to identify potential effects after serial infusions, we conducted a retrospective chart review to identify statistically significant changes in cognition in patient undergoing serial intravenous infusions; concomitantly, we examined baseline cognition as potential predictor of anti-depressant potential. MethodsTwenty-two patients with TRD were examined after they finished the induction phase of 8-10 repeated intravenous ketamine infusions and completed the assessments of their depressive symptoms (measured by the 16-item Quick Inventory of Depressive Symptomatology-Self Report Scale: QIDS-SR16) and cognitive function (measured by the Montreal Cognitive Assessment: MoCA) before the first and the last ketamine treatments. ResultsRepeated ketamine infusions administered through an escalating dose protocol with 8-10 infusion sessions produced a 47.2% reduction response in depression; there was no evidence of impairment as reflected in MoCA testing. There was a moderate association between baseline cognition and antidepressant response with a pearson correlation of 0.453. ConclusionIn this naturalistic sample of patients with TRD in our clinical service, repeated ketamine infusions significantly decreased depression symptoms without impairing cognitive performance. The baseline cognition may positively predict antidepressant responses of repeated ketamine treatment.