To evaluate the effectiveness and efficiency of the PBL-CBL combined teaching in thyroid surgery and observe from the students’ perspective and satisfaction in the learning process.
We enrolled the fourth-year students majoring in clinical medicine and residents from September 2014 to June 2019. These participants were randomly allocated into either the PBL-CBL combined teaching group or the traditional lecture-based classroom group to attend course on the chapter of thyroid nodules. Both pre-class and post-class quizzes were conducted. The same anonymous questionnaire to evaluate their perception and experience were also required.
Results: The pre-class quiz score in the Traditional group was significantly higher than that in the PBL-CBL group (P＜0.001). After class, in the PBL-CBL group, the mean total quiz score, basic knowledge score and case analysis score significantly increased respectively(P＜0.001). The performance improvement of the PBL-CBL group was significantly higher than that of the Traditional group (from 52.76 to 67.51 vs. from 67.03 to 71.97).The scores of learning motivation, understanding, student-teacher interaction, final examination, communication skills, clinical thinking skills, self-learning skills, teamwork skills and knowledge absorption in the surveys were significantly higher in the PBL-CBL group than in the Traditional group (P＜0.001). Meanwhile, the score of free time consumed in the surveys were significantly lower in the PBL-CBL group than in the Traditional group (P＜0.001).
Conclusions: PBL combined with CBL is an effective method for medical students and residents to improve their performance and enhance clinical skills.
Contributors:juanma berbel, José M. Ramírez-Hurtado, Beatriz Palacios-Florencio, Luna Santos-Roldán
The dataset contains raw data from 154 foreign tourists visiting the city of Seville. The data were collected by means of a structured questionnaire in December 2017.
Related research article: Juan Manuel Berbel-Pineda, Beatriz Palacios-Florencio, Luna Santos-Roldán, and José M. Ramírez Hurtado, Relation of Country-of-Origin Effect, Culture, and Type of Product with the Consumer’s Shopping Intention: An Analysis for Small- and Medium-Sized Enterprises, Complexity. Article ID 8571530 (2018).
Data consist of three omic blocks from The Cancer Genome Atlas (TCGA), containing whole-genome profiles of
-Gene expression (file GE.RData),
-DNA methylation (file METH.RData), and
-Copy number variants (file CNV.RData).
Omic profiles consist of information from 5,408 tumor samples across 33 cancer types (as matrix rows), and 60,112 features (expression of 20,319 genes, methylation of 28,241 CpG islands, and copy number variant intensity for 11,552 genes). GE profiles by sample corresponded with the logarithm of RNA-Seq counts by gene (Illumina HiSeq RNA V2 platform). METH profiles corresponded with CpG sites B-values from the Illumina HM450 platform, summarized at the CpG island level, using the maximum connectivity approach from the WGCNA R package (Langfelder and Horvath 2008) , and further transformed into M-values (M=beta/(1-beta); Du et al. 2010). Omic blocks were adjusted for batch and tissue specific effects (see Gonzalez-Reymundez and Vazquez (2020) and references therein for further details on quality controls and data edition).
This research utilizes bibliometric review of global management and public research in 2000-2019, through co-word analysis, co-author analysis, journal analysis, institution analysis, and country analysis. A total of 19,050 bibliographic records from Scopus core collection databases were selected and analyzed. The findings reveal an evolution of the research field on the management and public policy. The purpose of this data article
Tuchner, Tomer, and Gail Gilboa-Freedman. "Crying “Wolf” in a Network Structure: The Influence of Node-Generated Signals." International Conference on Complex Networks and Their Applications. Springer, Cham, 2019.
Questionnaire 1 solicits data on 'Factors affecting choice of bunkering port' and the 'Effect of IMO2020 in bunkering port choice '
Questionnaire 2 solicits data on 'Opinions on the subjective key performance factors'
The results-file considers all input received and analyses the feedback by using fuzzy-TOPSIS.
Experiments with faster dissemination of research began in the 1960s, and in the 1990s first preprint servers emerged and became widely used in Physical Sciences and Economics. Since 2010, more than 30 new preprint servers have emerged and the number of deposited preprints has grown exponentially, with numerous journals now supporting posting of preprints and accepting preprints as submissions for journal peer review and publication. Research on preprints is, however, still scarce.
The goals of this project are:
1) Study preprint policies, submission requirements and addressing of transparency in reporting and research integrity topics of all know preprint servers that allow deposit of preprints to researchers regardless of their institutional affiliation or funding.
2) Study comments deposited on preprint servers’ platforms and social media and their relation to peer review and information exchange.
3) Study differences between preprint version(s) and version of record.
Team Members (by first name alphabetical order):
Ana Jerončić,1 Gerben ter Riet,2,3 IJsbrand Jan Aalbersberg,4 John P.A. Ioannidis,5-9 Joseph Costello,10 Juan Pablo Alperin,11,12 Lauren A. Maggio,10 Lex Bouter,13,14 Mario Malički,5 Steve Goodman5-7
1 Department of Research in Biomedicine and Health, University of Split School of Medicine, Split, Croatia
2 Urban Vitality Centre of Expertise, Amsterdam University of Applied Sciences, Amsterdam, The Netherlands
3 Amsterdam UMC, University of Amsterdam, Department of Cardiology, Amsterdam, The Netherlands
4 Elsevier, Amsterdam, The Netherlands
5 Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA
6 Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
7 Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA
8 Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California, USA
9 Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, California, USA
10 Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
11 Scholarly Communications Lab, Simon Fraser University, Vancouver, British Columbia, Canada
12 School of Publishing, Simon Fraser University, Vancouver, British Columbia, Canada
13 Department of Philosophy, Faculty of Humanities, Vrije Universiteit, Amsterdam, The Netherlands
14 Amsterdam UMC, Vrije Universiteit, Department of Epidemiology and Statistics, Amsterdam, The Netherlands
The basic paradigm of rehabilitation is based on the brain plasticity, and for promoting it, test-retest reliability (TRR) of brain activation in which certain area of the brain is repeatedly activated is required. In this study, we investigated whether the robotic passive movement has the TRR of brain activation. Because active training has been shown to have TRR, but there are still arguments over the TRR by passive movement. In order to test TRR, ten repetitive sessions and various intervals (one day, three days, seven days, 23 days, 15 minutes, and six hours) were applied to five subjects, which had the same statistical power as applying two sessions to 50 subjects. In each session, three robot speeds (0.25Hz, 0.5Hz, and 0.75Hz) were applied to provide passive movement using the robot. The fNIRS signal (oxy-Hb) generated in the primary sensorimotor area (SM1) was measured on a total of 29 channels. At this time, we used activation maps and Intraclass correlation coefficient (ICC) values to examine the TRR and the effect of robot speeds and intervals on TRR. As a result, activation maps showed prominent variation regardless of robot speeds and interval, and the ICC value (=0.002) showed no TRR of brain activation for robotic passive movement.
Contributors:Shaon Basu, Sebastian Mackowiak, Henri Niskanen, Dora Knezevic, Vahid Asimi, Denes Hnisz
These are companion data to the paper "Unblending of transcriptional condensates in human repeat expansion disease" at CELL 2020, May 7, doi: https://doi.org/10.1016/j.cell.2020.04.018
Shaon Basu, Sebastian D. Mackowiak, Henri Niskanen, Dora Knezevic , Vahid Asimi,
Stefanie Grosswendt, Hylkje Geertsema, Salaheddine Ali, Ivana Jerković, Helge Ewers,
Stefan Mundlos, Alexander Meissner, Daniel M. Ibrahim, Denes Hnisz
It includes raw data, microscopy images, computational datasets to generate the figures in the study.
Programming code is available at https://github.com/hniszlab/hoxd13
GEO data is available GSE128818