Meta-analysis of Effect of Otago Exercise Program on Stroke Patients by Ziwen PEI, Mian WANG, Xianmei MENG

“…Objective:To evaluate the effect of Otago exercise program on the patients with stroke.Methods:Randomized controlled trials(RCTs)about Otago exercise program for falls efficacy balance function in patients with stroke were electronically searched in PubMed, Cochrane Library, Web of Science, EMbase, CNKI Chinese Journal Full-text Database, Wanfang Database, VIP Database and Chinese Biomedical Literature Database from the establishment of each database to May, 2018.All data were analyzed with RevMan 5.3 software.Results:A total of seven studies that represented 545 participants were evaluated. …”
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In Silico Analysis of Arabidopsis thaliana Peroxisomal 6-Phosphogluconate Dehydrogenase by Álvaro D. Fernández-Fernández, Francisco J. Corpas

“…The data show that a group of plant 6PGDHs contains an archetypal type 1 peroxisomal targeting signal (PTS), while in silico gene expression analysis using affymetrix microarray data suggests that Arabidopsis p6PGDH appears to be mainly involved in xenobiotic response, growth, and developmental processes.…”
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Integrated intra‐ and intercellular signaling knowledge for multicellular omics analysis by Dénes Türei, Alberto Valdeolivas, Lejla Gul, Nicolàs Palacio‐Escat, Michal Klein, Olga Ivanova, Márton Ölbei, Attila Gábor, Fabian Theis, Dezső Módos, Tamás Korcsmáros, Julio Saez‐Rodriguez

“…Abstract Molecular knowledge of biological processes is a cornerstone in omics data analysis. Applied to single‐cell data, such analyses provide mechanistic insights into individual cells and their interactions. …”
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ANALYSIS OF NONLINEAR CUMULATIVE DAMAGE MODEL CONSIDERING STRENGTH DEGRADATION by LI Wei

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An Analysis of The English Summative Test: EFL Teacher-Made Test by Yessicka Noviasmy, Risma

“…Data analysis in the form of item analysis was carried out using the Biserial point correlation. …”
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Analysis of the life style of chronic renal patients doing hemodialysis by Rosane Maria Kirchner, Renata Figueira Machado, Lisiane Löbler, Eniva Miladi Fernandes Stumm

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Tranexamic acid in spontaneous intracerebral hemorrhage: a meta-analysis by Yu Chang, Pei-Chun Lai, Chih-Yuan Huang, Junmin Song, Kuan-Yu Chi, Hsiang-Yi Hung, Yen-Ta Huang

“…Key outcomes analyzed included hematoma expansion, mortality within 90 days, thromboembolic events, and favorable functional outcomes. Data were pooled using a random-effects model and analyzed using the “metafor” package in RStudio. …”
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The Digital Literacy Academic Writing Scale: Exploratory Factor Analysis by Salim Nabhan, Anita Habók

“…This result indicates that the analysis is feasible for this data set. Additionally, the overall Cronbach’s alpha value to determine the internal consistency was .949, signifying strong reliability. …”
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THEMATIC PROGRESSION ANALYSIS IN EFL POSTGRADUATE STUDENTS’ THESIS ABSTRACTS by Zakia Habsari, Emi Emilia

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Bioinformatics analysis of genes associated with disulfidptosis in spinal cord injury. by Shuang Wang, Xinhua Liu, Jun Tian, Sizhu Liu, Lianwei Ke, Shuling Zhang, Hongying He, Chaojiang Shang, Jichun Yang

“…Subsequent functional enrichment analysis suggested that these genes may regulate multiple pathways and exert corresponding roles in SCI pathology. …”
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Clinical features and prognostic analysis of AKI in the internal medicine departments by XUE Xian, TANG Xiao-jing, ZHANG Di, SHEN Ai-wen, MEI Chang-lin

“…Objective To explore the clinical features of patients with acute kidney injury(AKI)in the internal medicine departments.Methods The kidney function indexes of the internal medicine patients were collected in Shanghai Changzheng Hospital from 2011 to 2012.According to the AKI diagnostic criteria of KDIGO in 2012,we screened out the AKI patients who met the criteria.By retrospectively studying their clinical data,we analyzed and summarized their clinical characteristics and the factors affecting the prognosis.Results From January 2011 to December 2012,there were a total of 33 332 cases of internal medicine patients in our hospital and 245 of them met the criteria of AKI.The incidence of AKI was 0.74%in internal medicine departments while the detection rate of AKI was 35.92%.The proportions of patients with AKI stage 1 to 3 were 42.45%,20.41% and 37.14%,respectively.Among all the internal medicine departments,patients in the department of nephrology accounted for 33.47%,followed by the department of cardiology(20.00%),gastroenterology(11.84%)and infectious disease(10.61%).The incidence of AKI from high to low was infection disease department(1.70%),nephrology department(1.37%),and cardiology department(1.11%).Of all the hospitalized patients with AKI,71.84% discharged with a better health condition and the kidney function discovered in only 34.69% of the discharged patients;28.16% died or gave up treatment.The most common departments with high fatality rate were the department of infectious disease(21.74%),gastroenterology and cardiology.Infection was the main cause of the AKI in internal medicine departments.Logistic regression analysis showed that higher AKI stage,more AKI risk factors,combination with liver disease or tumor were risk factors for death and giving up treatment,while chronic kidney disease was the protective factor.ConclusionsAKI is common in internal medicine system,with a high mortality rate and a higher recognition rate than perioperative AKI.Except for the department of nephrology,cardiology,departments of infectious disease and gastroenterology have heavy burden of AKI.The advanced stage of AKI,more risk factors,and comorbidities such as liver disease or tumor were associated with poor prognosis.…”
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Improving long‐tail classification via decoupling and regularisation by Shuzheng Gao, Chaozheng Wang, Cuiyun Gao, Wenjian Luo, Peiyi Han, Qing Liao, Guandong Xu

“…In this way, the authors analyse the change of each component in the training process and reveal three critical problems that should be solved, that is, the imbalanced angle distribution, the lack of feature discrimination, and the low feature norm. Drawing from this analysis, the authors propose a novel loss function that incorporates hyperspherical uniformity, additive angular margin, and feature norm regularisation. …”
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Performance Analysis of Underwater Radiofrequency Communication in Seawater: An Experimental Study by Raji Alahmad, Hussam Alraie, Ryosuke Hasaba, Kazuhiro Eguchi, Tohlu Matsushima, Yuki Fukumoto, Kazuo Ishii

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Analysis of the main parameters of quality of students’ life of different specialties by Z.I. Kulthickiy, Ya.V. Kurko

“…The main indicators of the quality of college students’ life are considered. Used data from a questionnaire survey of students in various disciplines of the first and second years (age 17 - 20 years). …”
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Analysis of the impact of space organization on the viability of the Karaj metropolitan core by behrouz hashemi, farzaneh sasanpor, ali movahed, Habiallah Fasihi

“…Data were analyzed using spatial statistics, spatial arrangement, and T-test and Friedman test. …”
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Iron metabolism and preeclampsia: new insights from bioinformatics analysis by Xijiao Guo, Sha Li, Guoping Xiong

“…Therefore, finding molecular diagnostic targets for PE through bioinformatics and machine learning methods is crucial for the diagnosis and prevention of patients with PE.Methods Data sets for PE were obtained from the GEO database, and gene differential expression analysis was conducted along with enrichment analysis annotations. …”
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Analysis of local information systems of Ecuador and the importance of urban marketing by Stefany CEVALLOS

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ANALYSIS OF DISC SPRING STIFFNESS DEGRADATION INDUCED BY FATIGUE DAMAGE by ZHANG Xiaoguang, HAO Xinrui, HAN Shaonian

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ANALYSIS OF CLIMATE-RELATED RISK AND MAIZE PRODUCTION IN SOUTHWEST, NIGERIA by Lawrence Olusola OPARINDE, Emmanuel Chilekwu OKOGBUE

“…Therefore, it is imperative to analyse the climate-related risk and maize production in Southwest, Nigeria. Secondary data between 1981 and 2012 were collected on relevant variables and analysed using Growth Function, Co-integration Model (Autoregressive Distributed Lag Approach) and J-P Model. …”
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A Performance Analysis of VPN Technologies Used in an IoT Environment by HRITCAN, D.-F., GRAUR, A., BALAN, D. G., TIMOFTE, E. M.

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