bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of post-stroke epilepsy using machine learning method
Authors: Peng Anjiao , Yang Xiaorong , Wen Zhining , Li Wanling , Tang Yusha , Lai Wanlin , Qiu Xiangmiao , Zhang Lin , He Shixu , Chen Lei 
Published: April 2020

Abstract
Background : Stroke is one of the most important causes of epilepsy and we aimed to find if it is possible to predict patients with high risk of developing post-stroke epilepsy (PSE) at the time of discharge using machine learning methods. Methods : Patients with stroke were enrolled and followed at least one year. Machine learning methods including support vector machine (SVM), random forest (RF) and logistic regression (LR) were used to learn the data. Results : A total of 2730 patients with cerebral infarction and 844 patients with cerebral hemorrhage were enrolled and the risk of PSE was 2.8% after cerebral infarction and 7.8% after cerebral hemorrhage in one year. Machine learning methods showed good performance in predicting PSE. The area under the receiver operating characteristic curve (AUC) for SVM and RF in predicting PSE after cerebral infarction was close to 1 and it was 0.92 for LR. When predicting PSE after cerebral hemorrhage, the performance of SVM was best with AUC being close to 1, followed by RF ( AUC = 0.99) and LR (AUC = 0.85) . Conclusion : Machine learning methods could be used to predict patients with high risk of developing PSE, which will help to stratify patients with high risk and start treatment earlier. Nevertheless, more work is needed before the application of thus intelligent predictive model in clinical practice.
Prognostic Value of Three Rapid Scoring Scales and Combined Score for the Assessment of Patients with Coronavirus Disease 2019
Authors: Hu Hai , Kong Weili , Yao Ni , Qiu Yanru , Gu Hailing , Xu Wei 
Published: April 2020

Abstract
Background: Severe coronavirus disease 2019 (COVID-19) is associated with high mortality, whereas mild cases generally have a good prognosis. Therefore, the rapid assessment and timely classification of patients with COVID-19-related pneumonia are very important. However, no scoring system has been designated for the rapid assessment and prognosis of patients with COVID-19. Such a system is urgently needed. Objective: To explore the factors affecting mortality in patients with COVID-19 and to verify if the predictive value of the three rapid scoring scales [the Modified Early Warning Score (MEWS), Rapid Acute Physiology Score (RAPS) and Rapid Emergency Medicine Score (REMS)] that are commonly used in emergency departments can also be used for the prognostication of COVID-19 patients. Methods: The study included adult patients diagnosed with COVID-19 in Wuhan, China from February 7 to March 7, 2020. Kaplan–Meier and Cox survival analyses were performed to identify the risk factors associated with COVID-19-related death. C-index analysis was used to evaluate the abilities of the three scoring scales and their combined score to predict the prognosis of COVID-19 patients. Results: Older age, decreased lymphocyte count, increased respiration frequency, and low blood oxygen saturation level were identified as independent risk factors for mortality among patients with COVID-19. The Cox regression analysis demonstrated that MEWS, RAPS, and REMS had a statistically significant ability to predict mortality in COVID-19 patients (P < 0.05). Stats the C-index of MEWS, RAPS, REMS, and the combined score resulted 0.7,0.66, 0.82, and 0.83 respectively. Conclusion: Patients with an old age, increased respiration frequency, low blood oxygen saturation level, and decreased lymphocyte count are at a high risk of COVID-19-related mortality. Moreover, our analysis revealed that the REMS had a better prognostic ability than the MEWS and RAPS when applied to COVID-19 patients. Our findings suggest that the REMS can be used as a rapid scoring tool for the early assessment of COVID-19 severity.
CDR1as related miRNA-mRNA networks in differentiating goat skeletal muscle satellite cells
Authors: Kyei Bismark , Li Li , Yang Liu , Zhan Siyuan , Li Juntao , Chen Yuan , Zhang Xujia , Zheng Shuailong , Xu Xiaoli , Odame Emmanuel , Cao Jiaxue , Guo Jiazhong , Zhong Tao , Wang Linjie , Zhang Hongping 
Published: April 2020

Abstract
Background: Myogenesis is a complex process controlled by several coding and non-coding RNAs (ncRNAs) such as circular RNAs (circRNAs) that well-known function as endogenous microRNAs (miRNAs) sponges. Over the past few years, numerous circRNAs have been known and their roles in biological processes have begun to be understood. Cerebellar Degeneration-Related protein 1 antisense (CDR1as), the most spotlighted circRNA as miR-7 sponge that has been blooming circRNAs’ research for a decade, and can potentially sponge several miRNAs in disease and muscle physiology. Nevertheless, the linear-RNAs-differed character that the acute interventions for circRNAs do not affect miRNAs levels, and has retarded the transcriptome-wide discovery of miRNAs sponged by. Therefore, the purpose of this study was to provide the transcriptomic effect of CDR1as during muscle differentiation.Methods: siCDR1as and siDICER1 were transfected into goat skeletal muscle satellite cells (SMSCs). RNA-seq technology and bioinformatics tools were used to analyze genes that are deregulated by siCDR1as and siDICER1. quantitative PCR was used to verify the expression levels of the differentially expressed mRNAs and miRNAs. Results: Here, to systematically identify miRNAs targeting CDR1as, we employed the critical enzyme DICER1 that governs the biogenesis of miRNAs. The deficiency of either DICER1 or CDR1as inhibited myogenic differentiation of SMSCs, and knockdown of DICER1 decreased the expression of CDR1as. Moreover, we screened for the targeted messenger RNAs (mRNAs) and miRNAs in SMSCs transfected with siDICER1 or siCDR1as respectively and found out that some well-known muscle-related pathways such as phosphoinositide 3-kinase (PI3K)-AKT signaling pathway, Rap1 signaling pathway, and MAPK signaling pathway were enriched in all groups. Further, regarding the miRNAs identified in siDICER1 and siCDR1as together with the sequence complementary information, we identified 11 miRNAs including miR-1, miR-206, and miR-27a-5p which are more likely to be novel targets for CDR1as. Conclusion: In summary, our study provides a perspective on the potential functions and relationship between CDR1as and DICER1 during muscle development.
Dietary phosphatidylcholine promotes breast cancer in the hyperlipidemic E0771 murine model
Authors: Onono Fredrick O , Chelvarajan Lakshman , Yan Baoxiang , Adindu Ebubechi , Bedingar Esias 
Published: April 2020

Abstract
BackgroundCancer cells are characterized by aberrant phosphatidylcholine (PC) metabolism. PC can be synthesized de novo or absorbed from diet, after digestion, by the intestinal enterocytes. Here, we investigated the association of dietary intake of PC and breast cancer development in mice. MethodsWe used tandem mass spectrometry methods to quantitate PC content of various fat sources used to manufacture rodent diets. Rodent diets were then formulated with either casein or amino acids in place of casein. To test the effects of dietary PC on tumor growth we fed low density lipoprotein receptor-null (LDLR–/–) mice high fat diets formulated with casein (high PC) or amino acids in place of casein (low PC). Endogenous PC biosynthesis and levels of total circulated plasma PC was monitored using stable isotope tracer choline and mass spectrometry analysis. Tumors were induced in mice after 12 weeks of high fat diet feeding. Since PC-derived molecules are important transducers of mitogenic signals, we tested the effects of inhibiting production of lysophosphatidic acid (LPA) using a recently described autotaxin (ATX) inhibitor. Finally, plasma inflammatory cytokine levels were analyzed to determine the effects of diets and ATX inhibition on systemic cytokine milieu. ResultsWe found that casein is the main source of PC when present in rodent diets. Replacing casein with amino acids increased the relative proportion of endogenously biosynthesized PC in mouse plasma. Compared to diets containing casein, amino acid-defined diets decreased primary tumor growth in the hyperlipidemic estrogen-receptor positive E0771 breast cancer mouse model. Inhibition of autotaxin with the potent inhibitor PAT-505 did not attenuate breast cancer development in these hyperlipidemic mice. Further, replacing casein with amino acids or treatment with PAT-505 significantly reduced systemic markers of inflammation. ConclusionOur results show that casein is a significant source of PC when present in rodent diets. Diets formulated with amino acids in place of casein have higher proportion of circulating PC from the endogenous biosynthetic pool. Casein-containing high fat diets promote primary breast tumor development in mice through mechanisms that involve systemic inflammation but is independent of LPA production by autotaxin.
ADCY2, ADCY5, and GRIA1 are the key genes of cAMP signaling pathway to participate in osteoporotic peripheral and spinal fracture after the manipulation of Wnt signaling
Authors: Zuo Xiaohua , Zhou Changdong , Zhu Xuepiao , Liu Dan , Wang Yan , Bao Hongguang , Zhang Kai , Zhang Yong 
Published: April 2020

Abstract
Background
Osteoporotic peripheral and spinal fracture, characterized by high morbidity and mortality, has become a health burden for the aging population. The inactivation of the Wnt signaling has been proved to promote osteoporotic fractures. Our study is to identify the key genes, miRNAs, and pathways that possibly lead to osteoporosis and osteoporotic peripheral and spinal fracture after the aberrant activation or mutation of Wnt signaling pathway.
Methods
Impute R package was used to screen out the differently expressed genes (DEGs) and differently expressed miRNAs in GEO datasets. STRING and Metascape were used to construct protein-protein interactions (PPI) network, gene ontology (GO) enrichment and pathway enrichment.
Results
562 DEGs were screened out using Impute R package, and a PPI network involving the 562 DEGs was constructed using STRING and Metascape. GO enrichment and pathway enrichment showed that the 562 DEGs were associated with membrane protein-related signaling pathways. Then, 75 genes between the target genes of miR-18a-3p and 562 DEGs were overlapped using Venny 2.1.0. Finally, the cAMP signaling pathway was identified as the key pathway, whilst ADCY2, ADCY5, and GRIA1 were identified the key genes that possibly participate in osteoporotic peripheral and spinal fracture after the manipulation of Wnt signaling pathway.
Conclusions
The results demonstrated that ADCY2, ADCY5, and GRIA1 were the key genes to regulate the cAMP signaling pathway in osteoporotic peripheral and spinal fracture after abnormal Wnt signaling.
Evaluation of Youtube Video Content About Developmental Dysplasia of the Hip
Authors: Oztermeli Ahmet , Karahan Nazım 
Published: April 2020

Abstract
Background: The purpose of this study is to investigate the quality and reliability of YouTube videos regarding developmental dysplasia of the hip (DDH).YouTube is one of the most popular websites used as a source of information, but the variety in authorship and lack of a peer-review process are problems.Methods: The search string “developmental dysplasia of the hip” was inputted to the YouTube search engine, and the first 52 videos returned as a response were assessed. The Video Power Index (VPI) (like ratio*view ratio/100) was used to assess the popularity of the videos. Global Quality Score (GQS) and developmental dysplasia of the hip scores (DDHS) were used to evaluate the quality and educational quality of the videos, and The Journal of the American Medical Association Score (JAMAS) was used to evaluate the accuracy of the source of information.Results: According to our research, the mean duration time of the videos was 526 s (SD: 813), and the average view count of the videos was 34,644. The mean time since upload was 1907 days (SD: 1137). On average, the videos received 10.9 comments, 210.3 likes, and 6.8 dislikes. The mean like ratio and VPI were 92.9 (SD: 19.57) and 25.8 (SD: 53.43), respectively. The mean JAMAS, GQS, and DDHS of all videos evaluated were 1.37 (SD: 0.7), 2.46 (SD: 1.09), and 4.63 (SD: 5.00), respectively. The DDHS and GQS were positively correlated (p:0.001 r: 65.8%). The GQS and the DDHS were higher in the academic group than in the commercial group (p:0.01). (p:0.037).Conclusions: The videos regarding DDH on YouTube generally had poor quality. As a result, to maintain an optimal parent–physician or patient–physician relationship, we suggest that international health societies make their own educational videos for parents, patients, and fellow physicians.
Dynamical Analysis of Corona-virus (COVID−19) Epidemic Model by Differential Transform Method
Authors: Christopher A. John , Magesh N. , Preethi G. Tamil 
Published: April 2020

Abstract
The aim of this paper is applying the Differential Transformation Method (DTM) to analyze and find the solution for the mathematical model described by the system of nonlinear ordinary differential equations which describe the epidemiology of the most threatening virus called Corona-virus later labelled as COVID-19. The behaviour of the outcomes is presented in terms of plots. Finally, the present study may help you to examine the wild class of real world models and also aid to predict their behaviour with respect to parameters considered in the model. The purpose of this study is to estimate the effectiveness of preventive measures, predicting future outbreaks and potential control strategies using the mathematical model.
A two-stage multiple-point conceptual model to predict river stage-discharge process using machine learning approaches
Authors: Alizadeh Farhad , Faregh Gharamaleki Alireza , Jalilzadeh Rasoul 
Published: April 2020

Abstract
Due to the complex nature of river stage-discharge process, the present study tried to develop a unique strategy to predict it precisely. The proposed conceptual strategy has some advantages to cover the shortcomings. First, it uses one model instead of several models to predict multiple points instead of one point. On the one hand, the constructed model was inspired by physical-based model (to include time-space attributes of the catchment). On the other hand, ensemble empirical mode decomposition algorithm (EEMD), wavelet transform (WT), and mutual information (MI) were employed as a hybrid pre-processing approach conjugated to support vector machine. For this end, a conceptual strategy (multi-station model) was developed to forecast the Souris River discharge more accurately. The strategy used herein was capable of covering uncertainties and complexities of river discharge modeling. First, a classic model along with WT was performed to predict the 1-day-ahead river discharge for each single station. Therefore DWT-EEMD and feature selection were used for decomposed subseries using MI to be employed in conceptual models. In the proposed feature selection method, some useless subseries were deleted to achieve better performance. The results approved efficiency of the proposed WT-EEMD-MI approach to improve accuracy of different modeling strategies.
Evaluating the impacts of environmental factors on soil moisture temporal dynamics at different time scales
Authors: Chai Qi , Wang Tiejun , Di Chongli 
Published: April 2020

AbstractSoil moisture displays complex spatiotemporal patterns across scales, making it important to disentangle the impacts of environmental factors on soil moisture temporal dynamics at different time scales. This study evaluated the factors affecting soil moisture dynamics at different time scales using long-term soil moisture data obtained from Nebraska and Utah. The empirical mode decomposition method was employed to decompose soil moisture time series into different temporal components with several intrinsic mode functions (IMFs) and one residual component. Results showed that the percent variance contribution (PVC) of IMFs to the total soil moisture temporal variance tended to increase for the IMFs with longer time periods. It indicated that the long-term soil moisture variations in study regions were mainly determined by low-temporal frequency signals related to seasonal climate and vegetation variations. Besides, the PVCs at short- and medium-temporal ranges were positively correlated with climate dryness, while negatively at longer temporal ranges. Moreover, the results suggested that the impact of climate on soil moisture dynamics at different time scales might vary across different climate zones, while soil effect was comparatively less in both regions. It provides additional insights into understanding soil moisture temporal dynamics in regions with contrasting climatic conditions.
Identification of 2-Fluoropalmitic Acid as a Potential Therapeutic Agent Against Glioblastoma
Authors: Jiapaer Shabierjiang , Furuta Takuya , Dong Yu , Kitabayashi Tomohiro , Sabit Hemragul , Zhang Jiakang , Zhang Guangtao , Tanaka Shingo , Kobayashi Masahiko , Hirao Atsushi , Nakada Mitsutoshi 
Published: April 2020

Background:
Glioblastomas (GBMs) are aggressive malignant brain tumors. Although chemotherapy
with temozolomide (TMZ) can extend patient survival, most patients eventually demonstrate resistance. Therefore,
novel therapeutic agents that overcome TMZ chemoresistance are required to improve patient outcomes.

Purpose:
Drug screening is an efficient method to find new therapeutic agents from existing drugs. In this study,
we explored a novel anti-glioma agent by drug screening and analyzed its function with respect to GBM treatment
for future clinical applications.

Methods:
Drug libraries containing 1,301 diverse chemical compounds were screened against two glioma stem
cell (GSC) lines for drug candidate selection. The effect of selected agents on GSCs and glioma was estimated
through viability, proliferation, sphere formation, and invasion assays. Combination therapy was performed to
assess its ability to enhance TMZ cytotoxicity against GBM. To clarify the mechanism of action, we performed
methylation-specific polymerase chain reaction, gelatin zymography, and western blot analysis.

Results:
The acyl-CoA synthetase inhibitor 2-fluoropalmitic acid (2-FPA) was selected as a candidate anti-glioma
agent. 2-FPA suppressed the viability and stem-like phenotype of GSCs. It also inhibited proliferation and invasion
of glioma cell lines. Combination therapy of 2-FPA with TMZ synergistically enhanced the efficacy of TMZ.
2-FPA suppressed the expression of phosphor-ERK, CD133, and SOX-2; reduced MMP-2 activity; and increased
methylation of the MGMT promoter.

Conclusion:
2-FPA was identified as a potential therapeutic agent against GBM. To extend these findings,
physiological studies are required to examine the efficacy of 2-FPA against GBM in vivo.
Organized Selection Cluster Head on Fuzzy Low-Energy Adaptive Clustering Hierarchy Protocol in Three-Dimensional Wireless Sensor Networks
Authors: El Aalaoui Abderrahmane , Hajraoui Abderrahmane 
Published: April 2020

Background:
In this paper, A definition of proposed enhancement approach to reduce the
energy consumption, extend the network lifetime and improve the performance of protocol Fuzzy
Low-Energy Adaptive Clustering Hierarchy Algorithm (Fuzzy LEACH).

Objective:
This improvement will augment the energy balancing in clusters among all sensor nodes
and minimize the energy dissipation during network communications.

Methods:
The proposed method is based on a cluster head selection method. Moreover, an enhanced
organization of this selection has been implemented.

Results:
Mathematical analysis and MATLAB 2013a simulation results show the effectiveness of the
proposed approach. The new approach reduce the energy consumption of Wireless Sensor Network
(WSN) about 0.99% to 5.64%, prolongs the network life cycle by 42% and increases the number of
packets sent by 86% to 732%.

Conclusion:
The developed approach indicates a progress in terms of network lifetime, energy consumption
and number of packets transferred to BS compared to Low-Energy Adaptive Clustering
Hierarchy Algorithm (LEACH) and other related extended spaces protocols.
Расстройство моторной функции верхнего отдела пищеварительного тракта у детей с вегетативной дисфункцией
Authors: Karulina Yu.V. 
Published: April 2020

Нами проведено комплексное клиническое, лабораторное и инструментальное обследование 109 детей в возрасте 6–16 лет с вегетативной дисфункцией и жалобами со стороны органов пищеварения. Изучена симптоматика заболеваний с учетом жалоб и анамнестических данных, результатов объективного обследования, общеклинического исследования крови и мочи, биохимического исследования крови, исследования кала на яйца гельминтов, данных электрокардиографии, консультаций врачей-специалистов, ультразвукового исследования органов брюшной полости. Состояние слизистой оболочки желудка и двенадцатиперстной кишки и наличие моторно-эвакуаторных нарушений в виде рефлюкса оценивалось по данным фиброэзофагогастродуоденоскопии. Исследование эвакуаторной функции желудка проводилось с помощью ультразвукового обследования методом наполнения. Всем детям проведено изучение вегетативной регуляции сердечного ритма методом кардиоритмографии. Также проведена диагностика уровней ситуативной (реактивной) и личностной тревожности с использованием теста Спилбергера. Выявлена группа детей с синдромом вегетативной дисфункции и моторными нарушениями верхнего отдела пищеварительного тракта (ВОПТ). Изучены клинические проявления, факторы риска возникновения, типы нарушений моторной функции ВОПТ при синдроме вегетативной дисфункции у детей, определена связь этих нарушений с H.pylori. Все обследованные дети были распределены на 2 группы. Основная группа — 87 детей с синдромом вегетативной дисфункции и нарушениями моторной функции ВОПТ и группа сравнения — 22 ребенка с синдромом вегетативной дисфункции без нарушений моторной функции ВОПТ. С целью проведения лечения дети основной группы были распределены на группы в зависимости от типа нарушений моторной функции ВОПТ: I группа пациентов — с ускорением моторной функции ВОПТ и II группа пациентов — с замедлением этой функции. Курс лечения пациентов обеих групп длился 30 дней. Была доказана эффективность лечения синдрома вегетативных дисфункций с учетом типа моторных расстройств ВОПТ.