A step-by-step guide to creating a journal publication schedule in 2018 (Download - Journal publication planning template)

2019 ◽  
Author(s):  
Editage Insights
Keyword(s):  
Publication Planning ◽  
Journal Publication ◽  
Publication Schedule

Developing the Character of Learning Community: Islamic Education in Nusantara Perspective

2019 ◽  
Author(s):  
Fariha Azalea
Keyword(s):  
Action Research ◽  
Research And Development ◽  
Learning Community ◽  
Lesson Study ◽  
Scientific Publication ◽  
Islamic Education ◽  
Development Model ◽  
Publication Planning ◽  
Community Learning ◽  
Classroom Action Research

This research aims to promote the development of the character of learning community at Madrasah Tsanawiyah of Bantul Regency Yogyakarta, and two problems posed to be addressed: why the character of community learning pattern does not realize as it has been expected, and how does the development of the character of learning community at MTs of Bantul look like? The research uses the Research and Development model that is consisted of four stages: exploration, development, tests, and dissemination. The data were collected by means of observatiosn, interviews, questionaire, and review of documentation. The results show: (1) the character of learning community at the MTs in Bantul Regency has not been fully established because the teachers were not active in preparing their lesson study, and they did not benefit from it. Also, they were too busy in fulfilling their obligations as teachers; (2) the development of the character of learning community at MTs in Bantul could be implemented through Classroom Action Research-based lesson study plans which are consisted of five stages: consolidation of lesson study concepts, explanation of Classroom Action Research as a form of scientific publication, planning, implementation of action, and reflection.

scholarly journals Automated Confirmation of Protein Annotation Using NLP and the UniProtKB Database

2020 ◽  
Vol 11 (1) ◽  
pp. 24
Author(s):  
Jin Tao ◽  
Kelly Brayton ◽  
Shira Broschat
Keyword(s):  
Language Processing ◽  
Fine Tuning ◽  
Support Vector ◽  
Protein Annotation ◽  
Computing Power ◽  
Journal Publication ◽  
Novel Approach ◽  
Uniprotkb Database ◽  
Public Repositories ◽  
Annotation Errors

Advances in genome sequencing technology and computing power have brought about the explosive growth of sequenced genomes in public repositories with a concomitant increase in annotation errors. Many protein sequences are annotated using computational analysis rather than experimental verification, leading to inaccuracies in annotation. Confirmation of existing protein annotations is urgently needed before misannotation becomes even more prevalent due to error propagation. In this work we present a novel approach for automatically confirming the existence of manually curated information with experimental evidence of protein annotation. Our ensemble learning method uses a combination of recurrent convolutional neural network, logistic regression, and support vector machine models. Natural language processing in the form of word embeddings is used with journal publication titles retrieved from the UniProtKB database. Importantly, we use recall as our most significant metric to ensure the maximum number of verifications possible; results are reported to a human curator for confirmation. Our ensemble model achieves 91.25% recall, 71.26% accuracy, 65.19% precision, and an F1 score of 76.05% and outperforms the Bidirectional Encoder Representations from Transformers for Biomedical Text Mining (BioBERT) model with fine-tuning using the same data.

scholarly journals Cross-sectional study of preprints and final journal publications from COVID-19 studies: discrepancies in results reporting and spin in interpretation

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e051821
Author(s):  
Lisa Bero ◽  
Rosa Lawrence ◽  
Louis Leslie ◽  
Kellia Chiu ◽  
Sally McDonald ◽  
...  
Keyword(s):  
Statistical Significance ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Journal Publication ◽  
Reporting Practices ◽  
Subgroup Analyses ◽  
Journal Publications ◽  
Study Characteristics ◽  
Results Reporting

ObjectiveTo compare results reporting and the presence of spin in COVID-19 study preprints with their finalised journal publications.DesignCross-sectional study.SettingInternational medical literature.ParticipantsPreprints and final journal publications of 67 interventional and observational studies of COVID-19 treatment or prevention from the Cochrane COVID-19 Study Register published between 1 March 2020 and 30 October 2020.Main outcome measuresStudy characteristics and discrepancies in (1) results reporting (number of outcomes, outcome descriptor, measure, metric, assessment time point, data reported, reported statistical significance of result, type of statistical analysis, subgroup analyses (if any), whether outcome was identified as primary or secondary) and (2) spin (reporting practices that distort the interpretation of results so they are viewed more favourably).ResultsOf 67 included studies, 23 (34%) had no discrepancies in results reporting between preprints and journal publications. Fifteen (22%) studies had at least one outcome that was included in the journal publication, but not the preprint; eight (12%) had at least one outcome that was reported in the preprint only. For outcomes that were reported in both preprints and journals, common discrepancies were differences in numerical values and statistical significance, additional statistical tests and subgroup analyses and longer follow-up times for outcome assessment in journal publications.At least one instance of spin occurred in both preprints and journals in 23/67 (34%) studies, the preprint only in 5 (7%), and the journal publications only in 2 (3%). Spin was removed between the preprint and journal publication in 5/67 (7%) studies; but added in 1/67 (1%) study.ConclusionsThe COVID-19 preprints and their subsequent journal publications were largely similar in reporting of study characteristics, outcomes and spin. All COVID-19 studies published as preprints and journal publications should be critically evaluated for discrepancies and spin.

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