bluuebunny/crossref_metadata_2025_split huggingface dataset:
Downregulation of lncRNA Miat contributes to the protective effect of electroacupuncture against myocardial fibrosis
Authors: Qi Wenchuan , Li Xiang , Ren Yanrong , Liu Xueying , Fu Hongjuan , Wang Xiao , Li Xiao , Xiong Jian , Zheng Qianhua , Cai Dingjun , Liang Fanrong 
Published: May 2022

Abstract
Background
Myocardial fibrosis changes the structure of myocardium, leads to cardiac dysfunction and induces arrhythmia and cardiac ischemia, threatening patients’ lives. Electroacupuncture at PC6 (Neiguan) was previously found to inhibit myocardial fibrosis. Long non-coding RNAs (lncRNAs) play a variety of regulatory functions in myocardial fibrosis, but whether electroacupuncture can inhibit myocardial fibrosis by regulating lncRNA has rarely been reported.

Methods
In this study, we constructed myocardial fibrosis rat models using isoproterenol (ISO) and treated rats with electroacupuncture at PC6 point and non-point as control. Hematoxylin–eosin, Masson and Sirius Red staining were performed to assess the pathological changes and collagen deposition. The expression of fibrosis-related markers in rat myocardial tissue were detected by RT-qPCR and Western blot. Miat, an important long non-coding RNA, was selected to study the regulation of myocardial fibrosis by electroacupuncture at the transcriptional and post-transcriptional levels. In post-transcriptional level, we explored the myocardial fibrosis regulation effect of Miat on the sponge effect of miR-133a-3p. At the transcriptional level, we studied the formation of heterodimer PPARG–RXRA complex and promotion of the TGF-β1 transcription.

Results
Miat was overexpressed by ISO injection in rats. We found that Miat can play a dual regulatory role in myocardial fibrosis. Miat can sponge miR-133a-3p in an Ago2-dependent manner, reduce the binding of miR-133a-3p target to the 3ʹUTR region of CTGF mRNA and improve the protein expression level of CTGF. In addition, it can also directly bind with PPARG protein, inhibit the formation of heterodimer PPARG–RXRA complex and then promote the transcription of TGF-β1. Electroacupuncture at PC6 point, but not at non-points, can reduce the expression of Miat, thus inhibiting the expression of CTGF and TGF-β1 and inhibiting myocardial fibrosis.

Conclusion
We revealed that electroacupuncture at PC6 point can inhibit the process of myocardial fibrosis by reducing the expression of lncRNA Miat, which is a potential therapeutic method for myocardial fibrosis.
Developing an artificial intelligence method for screening hepatotoxic compounds in traditional Chinese medicine and Western medicine combination
Authors: Chen Zhao , Zhao Mengzhu , You Liangzhen , Zheng Rui , Jiang Yin , Zhang Xiaoyu , Qiu Ruijin , Sun Yang , Pan Haie , He Tianmai , Wei Xuxu , Chen Zhineng , Zhao Chen , Shang Hongcai 
Published: May 2022

AbstractBackgroundsTraditional Chinese medicine and Western medicine combination (TCM-WMC) increased the complexity of compounds ingested.ObjectiveTo develop a method for screening hepatotoxic compounds in TCM-WMC based on chemical structures using artificial intelligence (AI) methods.MethodsDrug-induced liver injury (DILI) data was collected from the public databases and published literatures. The total dataset formed by DILI data was randomly divided into training set and test set at a ratio of 3:1 approximately. Machine learning models of SGD (Stochastic Gradient Descent), kNN (k-Nearest Neighbor), SVM (Support Vector Machine), NB (Naive Bayes), DT (Decision Tree), RF (Random Forest), ANN (Artificial Neural Network), AdaBoost, LR (Logistic Regression) and one deep learning model (deep belief network, DBN) were adopted to construct models for screening hepatotoxic compounds.ResultDataset of 2035 hepatotoxic compounds was collected in this research, in which 1505 compounds were as training set and 530 compounds were as test set. Results showed that RF obtained 0.838 of classification accuracy (CA), 0.827 of F1-score, 0.832 of Precision, 0.838 of Recall, 0.814 of area under the curve (AUC) on the training set and 0.767 of CA, 0.731 of F1, 0.739 of Precision, 0.767 of Recall, 0.739 of AUC on the test set, which was better than other eight machine learning methods. The DBN obtained 82.2% accuracy on the test set, which was higher than any other machine learning models on the test set.ConclusionThe DILI AI models were expected to effectively screen hepatotoxic compounds in TCM-WMC.
UPRmt activation improves pathological alterations in cellular models of mitochondrial diseases
Authors: Suárez-Rivero Juan M. , Pastor-Maldonado Carmen J. , Povea-Cabello Suleva , Álvarez-Córdoba Mónica , Villalón-García Irene , Talaverón-Rey Marta , Suárez-Carrillo Alejandra , Munuera-Cabeza Manuel , Reche-López Diana , Cilleros-Holgado Paula , Piñero-Perez Rocío , Sánchez-Alcázar José A. 
Published: May 2022

Abstract
Background
Mitochondrial diseases represent one of the most common groups of genetic diseases. With a prevalence greater than 1 in 5000 adults, such diseases still lack effective treatment. Current therapies are purely palliative and, in most cases, insufficient. Novel approaches to compensate and, if possible, revert mitochondrial dysfunction must be developed.

Results
In this study, we tackled the issue using as a model fibroblasts from a patient bearing a mutation in the GFM1 gene, which is involved in mitochondrial protein synthesis. Mutant GFM1 fibroblasts could not survive in galactose restrictive medium for more than 3 days, making them the perfect screening platform to test several compounds. Tetracycline enabled mutant GFM1 fibroblasts survival under nutritional stress. Here we demonstrate that tetracycline upregulates the mitochondrial Unfolded Protein Response (UPRmt), a compensatory pathway regulating mitochondrial proteostasis. We additionally report that activation of UPRmt improves mutant GFM1 cellular bioenergetics and partially restores mitochondrial protein expression.

Conclusions
Overall, we provide compelling evidence to propose the activation of intrinsic cellular compensatory mechanisms as promising therapeutic strategy for mitochondrial diseases.
The influence of maturation, fitness, and hormonal indices on minutes played in elite youth soccer players: a cross-sectional study
Authors: Eskandarifard Ebrahim , Nobari Hadi , Clemente Filipe Manuel , Silva Rui , Clark Cain C. T. , Sarmento Hugo , Figueiredo António José 
Published: May 2022

Abstract
Background
The main purpose of this study was to investigate the relationships between minutes played (MP) with maturity status, fitness, and hormonal levels, and to quantify their influence on minutes played.

Methods
Twenty-four elite youth soccer players under-16 years participated in this study, over a full-season period. Anthropometric measures, maturity status, hormonal and physical fitness levels were collected. Participants were monitored during the season. After the end-season, players were assessed in 6 different tests over a four-day period.

Results
The maximum oxygen consumption (V̇O2max) was strongly correlated with MP (r = 0.75), maturity offset (r = 0.52), and countermovement jump (r = 0.53). Multiple linear regression explained 76% of MP (F (8, 15) = 6.05, p = 0.001), with an R2 of 0.76. Moreover, Growth hormone (GH) and V̇O2max. were the most influential factors in MP (F (2, 21) = 17.92, p ≤ 0.001), with an R2 of 0.63.

Conclusion
High levels of GH and V̇O2max have a preponderant role in MP by elite youth soccer players, it appears to be more pragmatic to consider other contextual dimensions, as they can impact selection for competition and minutes of participation in a match.
Accuracy, inter- and intrarater reliability, and user-experience of high tibial osteotomy angle measurements for preoperative planning: manual planning PACS versus semi-automatic software programs
Authors: Laven Iris E. W. G. , Schröder Femke F. , de Graaff Feike , Rompen J. Christiaan , Hoogeslag Roy A. G. , van Houten Albert H. 
Published: May 2022

Abstract
Purpose
To compare the accuracy, inter- and intrarater reliability, and user-experience of manual and semi-automatic preoperative leg-alignment measurement planning software for high tibial osteotomy (HTO).

Methods
Thirty patients (31 lower limbs) who underwent a medial opening wedge HTO between 2017 and 2019 were retrospectively included. The mechanical lateral distal femur angle (mLDFA), mechanical medial proximal tibial angle (mMPTA), and planned correction angle were measured on preoperative long-leg full weight-bearing radiographs utilising PACS Jivex Review® v5.2 manual and TraumaCad® v2.4 semi-automatic planning software. Independent measurements were performed by four raters. Two raters repeated the measurements. Accuracy in the standard error of measurement (SEM), inter- and intrarater reliability, and user-experience were analysed. Additionally, measurements errors of more than 3° were remeasured and reanalysed.

Results
The SEMs of all measured varus malalignment angles and planned correction angle were within 0.8° of accuracy for both software programs. Measurements utilising the manual software demonstrated moderate interrater intraclass correlation coefficient (ICC)-values for the mLDFA and mMPTA, and an excellent interrater ICC-value for the correction angle (0.810, 0.779, and 0.981, respectively). Measurements utilising the semi-automatic software indicated excellent interrater ICC-values for the mLDFA, mMPTA, and correction angle (0.980, 0.909, and 0.989, respectively). The intrarater reliability varied substantially per angle, presenting excellent intrarater agreements by both raters (ICC >  0.900) for the correction angle in each software program as well as poor-to-excellent ICC-values for the mLDFA (0.282–0.951 and 0.316–0.926) and mMPTA (0.893–0.934 and 0.594–0.941) in both the manual planning and semi-automatic software. Regarding user-experience, semi-automatic software was preferred by two raters, while the other two raters had no distinctive preference. After remeasurement of five outliers, excellent interrater ICC-values were found for the mLDFA (0.913) and mMPTA (0.957).

Conclusions
Semi-automatic software outperforms the manual software when user-experience and outliers are considered. However, both software programs provide similar performance after remeasurement of the human-related erroneous outliers. For clinical practice, both programs can be utilised for HTO planning.

Level of evidence
Diagnostic study, Level III.
Predicting cash holdings using supervised machine learning algorithms
Authors: Özlem Şirin , Tan Omer Faruk 
Published: May 2022

AbstractThis study predicts the cash holdings policy of Turkish firms, given the 20 selected features with machine learning algorithm methods. 211 listed firms in the Borsa Istanbul are analyzed over the period between 2006 and 2019. Multiple linear regression (MLR), k-nearest neighbors (KNN), support vector regression (SVR), decision trees (DT), extreme gradient boosting algorithm (XGBoost) and multi-layer neural networks (MLNN) are used for prediction. Results reveal that MLR, KNN, and SVR provide high root mean square error (RMSE) and low R2values. Meanwhile, more complex algorithms, such as DT and especially XGBoost, derive higher accuracy with a 0.73 R2value. Therefore, using advanced machine learning algorithms, we may predict cash holdings considerably.
Out-of-the-classroom learning of English vocabulary by EFL learners: investigating the effectiveness of mobile assisted learning with digital flashcards
Authors: Zakian Maryam , Xodabande Ismail , Valizadeh Mohammadreza , Yousefvand Mohammad 
Published: May 2022

AbstractThe importance of vocabulary knowledge as one of the most challenging aspects of foreign language learning has been widely acknowledged. In order to facilitate learning vocabulary items in English by language learners, mobile assisted vocabulary learning attracted considerable attention in recent years. Nevertheless, the application of mobile devices for learning the most frequently used vocabulary items in core vocabulary lists received far less attention. To address this gap, the current study investigated the contribution of a digital flashcard application (i.e. NGSL builder) designed for smartphone devices in out-of-the-classroom learning of essential vocabulary in English among EFL learners. The participants were 86 university students in experimental and control groups. In addition to formal language education during a semester, the experimental group used the mobile application for studying vocabulary items outside the classroom, while the control group used traditional materials (i.e. word list) to study the same content. The participants’ vocabulary knowledge was measured in three times (pre, post, and delayed posttest), and the results revealed that the use of mobile applications contributed significantly to vocabulary knowledge development, and those in the experimental group outperformed their counterparts in the control group. The findings also provided empirical evidence for the long-term impacts of mobile-assisted vocabulary learning. The study highlights the significance of mobile technologies in helping L2 learners to acquire essential vocabulary in English and discusses the pedagogical implications of these findings.
Heterogeneous characteristics and controlling factors of oil bearing of the Chang 7 shale in the Ordos Basin
Authors: Li Peng , Liu Zhongbao , Bi He , Fan Jingjing , Zhang Rui , Huang Zhenkai , Bian Ruikang , Wang Pengwei 
Published: May 2022

Oil-bearing evaluation is the key issue of shale oil geologic exploration, which affects the mobility and effective development of the remaining oil in the shale system. To study the oil content and its controlling factors of shale in Chang 7 member of the Yanchang Formation in the Ordos Basin, we take the core of well H317 as the main research object, analyze the oil-bearing characteristics of shale by conventional rock pyrolysis and multistep pyrolysis experimental methods, and analyze the change characteristics of the elements by handheld X-ray fluorescence. The results indicate that the organic heterogeneity of Chang 7 shale in well H317 is obvious. It can be divided into upper shale and lower shale with 2467 m as the boundary. The upper shale has low total organic carbon (TOC), poor kerogen type, and slightly low oil content, but strong mobility. The lower shale has high TOC, good kerogen type, and good oil content, but poor mobility. The content and type of organic carbon in shale have obvious control effect on oil bearing and mobility. Differences in paleosedimentary environment control the formation of original sedimentary organic matter. During the lower shale deposition period, the climate was humid and the terrigenous input was relatively weak, high paleoproductivity and strong reducing water effectively preserved the original sedimentary organic matter, and finally formed an organic-rich interval with high TOC. Early diagenesis further altered the abundance and type of original organic matter.
Patient Experience in Clinical Trials: Quality of Life, Financial Burden, and Perception of Care in Patients With Multiple Myeloma or Lymphoma Enrolled on Clinical Trials Compared With Standard Care
Authors: Sidana Surbhi , Allmer Cristine , Larson Melissa C. , Dueck Amylou , Yost Kathleen , Warsame Rahma , Thanarajasingam Gita , Cerhan James R. , Paludo Jonas , Rajkumar S. Vincent , Habermann Thomas M. , Nowakowski Grzegorz S. , Lin Yi , Gertz Morie A. , Witzig Thomas , Dispenzieri Angela , Gonsalves Wilson I. , Ansell Stephen M. , Thompson Carrie A. , Kumar Shaji K. 
Published: May 2022

PURPOSE: Patients' concerns regarding clinical trial (CT) participation include apprehension about side effects, quality of life (QoL), financial burden, and quality of care. METHODS: We prospectively evaluated the experience of patients with multiple myeloma or lymphoma who were treated on CTs (CT group, n = 35) versus patients treated with standard approaches (non-CT group, n = 88) focusing on QoL, financial burden of care, and patients' perception of quality of care over a 1-year period. RESULTS: There were no significant differences in any of the patient-reported outcomes in CT versus non-CT groups. We observed an initial decline in overall QoL in the first 3 months across both groups, driven primarily by physical and functional well-being. QoL gradually improved and was above baseline by month 12. Patients reported highest improvement in the functional well-being subdomain. Patients in both groups reported high satisfaction with the quality of care received, and there were no differences in overall satisfaction, communication with team, or access to care. At baseline, 16%-19% of patients reported financial burden, which increased to a peak of 33% in the CT group and to 49% in the non-CT group over the course of 1 year. There was no significant difference in financial burden in the two groups overall. Most of the patients reported getting all the care that was deemed medically necessary in both groups. However, a significant proportion of patients reported having to make other kinds of financial sacrifices because of their cancer (CT group: 33% of patients at baseline and 21%-40% over 1 year; non-CT group: 19% at baseline and 25%-36% over 1 year). CONCLUSION: Patients treated on CTs reported comparable QoL and quality of care with the non-CT group. A high proportion of patients reported financial burden over time in both groups. Our findings can serve as a guide to educate patients regarding CT participation and highlight the need to address the significant financial burden experienced by patients with cancer.
Effects of Conformation on Doping Efficiency in π-Extended Bipyranylidene Molecules: Relationship between Molecular Structure and Electron-Doping Ability for Developing n-Type Organic Thermoelectrics
Authors: Matsuo Takaya , Kawabata Kohsuke , Takimiya Kazuo 
Published: May 2022

Abstract
Electron doping is an essential process for developing n-type organic thermoelectric materials, and thus the search for efficient n-type dopants is critically important. By replacing the central 1-methylpyrrole ring in 2,5-bis((2,6-diphenyl-4H-pyran-4-ylidene)methyl)-1-methylpyrrole (1) with electron-rich 3,4-ethylenedioxythiophene and 2,2′-bis(3,4-ethylenedioxythiophene) moieties, we synthesized new candidate molecules (2 and 3, respectively) as n-type dopants. The single-crystal X-ray analyses of 1 and 3 elucidated that 3 has a totally planar π-conjugated structure over the whole molecule, whereas 1 has a non-planar structure. Although the energy levels of the highest occupied molecular orbitals of 1–3 evaluated by the electrochemical measurement in solution were not significantly different, the work function of 3 thin film evaluated by the Kelvin probe method was slightly higher than those of 1 and 2. Furthermore, 3 was capable of electron-doping to an n-type semiconducting polymer, poly(benzimidazobenzophenanthroline) (BBL), and the resulting doped BBL showed decent thermoelectric characteristics with the power factor of 1.25 × 10−3 µW m−1 K−2, which was higher by one order of magnitude than those of 1- and 2-doped BBL thin films. These results imply that the high planarity of 3 can contribute to electron-doping ability, which could be useful information for further development of n-type dopants for organic thermoelectric applications.
Antibiotic Drug screening and Image Characterization Toolbox (A.D.I.C.T.): a robust imaging workflow to monitor antibiotic stress response in bacterial cells in vivo
Authors: Mayer Benjamin , Schwan Meike , Thormann Kai M. , Graumann Peter L. 
Published: May 2022

The search for novel drugs that efficiently eliminate prokaryotic pathogens is one of the most urgent health topics of our time. Robust evaluation methods for monitoring the antibiotic stress response in prokaryotes are therefore necessary for developing respective screening strategies. Besides advantages of common in vitro techniques, there is a growing demand for in vivo information based on imaging techniques that allow to screen antibiotic candidates in a dynamic manner. Gathering information from imaging data in a reproducible manner, robust data processing and analysis workflows demand advanced (semi-)automation and data management to increase reproducibility. Here we demonstrate a versatile and robust semi-automated image acquisition, processing and analysis workflow to investigate bacterial cell morphology in a quantitative manner. The presented workflow, A.D.I.C.T, covers aspects of experimental setup deployment, data acquisition and handling, image processing (e.g. ROI management, data transformation into binary images, background subtraction, filtering, projections) as well as statistical evaluation of the cellular stress response (e.g. shape measurement distributions, cell shape modeling, probability density evaluation of fluorescence imaging micrographs) towards antibiotic-induced stress, obtained from time-course experiments. The imaging workflow is based on regular brightfield images combined with live-cell imaging data gathered from bacteria, in our case from recombinant Shewanella cells, which are processed as binary images. The model organism expresses target proteins relevant for membrane-biogenesis that are functionally fused to respective fluorescent proteins. Data processing and analysis are based on customized scripts using ImageJ2/FIJI, Celltool and R packages that can be easily reproduced and adapted by users. Summing up, our approach aims at supporting life-scientists to establish their own imaging-pipeline in order to exploit their data as versatile as possible and in a reproducible manner.
Prevalence of medical students’ satisfaction with online education during COVID- 19 pandemic: A systematic review and meta-analysis
Authors: Ahmed Hussein , Mohammed Omer , Mohammed Lamis , Mohamed Salih Dalia , Ahmed Mohammed , Masaod Ruba , Elhaj Amjad , Yassin Rawan , Elkhidir Ibrahim 
Published: May 2022

Background: Electronic (E)-learning is defined as the use of electronic tools for education, training, and communication.(ERT) is defined as use of alternative methods of teaching such as remote learning during a crisis circumstances Education, among many other sectors, has been profoundly affected by the spread of the coronavirus disease 2019 (COVID-19). More than 90% of the world’s students are unable to attend teaching sessions due to the COVID-19 pandemic. Methods: This study was conducted in accordance with the published guidelines for meta-analysis and reviews (PRISMA) reporting guidelines. A database and electronic search was performed on September 21st, 2021 using PubMed, Medline and Embase through the OVID platform, and ScienceDirect. We removed duplicates, and screened the title, abstract, and full texts of included papers. We included studies published only in English and excluded studies without sufficient data, case reports, editorials, and protocols. The quality of included articles was examined using the AXIS tool for cross-sectional studies, and the Newcastle–Ottawa scale for observational case-control studies. From the included studies, demographic and satisfaction with online education (OE) prevalence data were extracted and analyzed. We calculated the pooled prevalence of medical students’ satisfaction. Results: Eighteen studies with a total sample of 7,907 students were included in the meta-analysis. The pooled prevalence of medical students’ satisfaction with online education was 57% (95% CI: 47 - 67%). Publication bias was assessed and reported. Conclusions: The pooled prevalence of medical students’ satisfaction with online education was 57 %. Online learning satisfaction was associated with students’ prior experience with OE. The greatest benefit of OE is overcoming obstacles faced with learning Major challenges for implementing OE were technical and infrastructural resources.