Latest Article Alert from Reproductive Health

The following new articles have just been published in Reproductive Health

Trends in the use of oral contraceptives among adolescents and young women in Spain
Carrasco-Garrido P, López de Andrés A, Hernández-Barrera V, Jiménez-Trujillo I, Esteban-Peña M, Pérez-Farinós N, Jiménez-García R

Latest Article Alert from Annals of Clinical Microbiology and Antimicrobials

The following new articles have just been published in Annals of Clinical Microbiology and Antimicrobials

Bibliometric analysis of global scientific research on carbapenem resistance (1986–2015)
Sweileh W, Shraim N, Al-Jabi S, Sawalha A, AbuTaha A, Zyoud S
Annals of Clinical Microbiology and Antimicrobials 2016, 15:56 (23 September 2016)

Harvard Common Data Set – The Harvard Open Data Dataverse

“This represents Harvard’s responses to the Common Data Initiative. 


The Common Data Set (CDS) initiative is a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Peterson’s, and U.S. News & World Report. The combined goal of this collaboration is to improve the quality and accuracy of information provided to all involved in a student’s transition into higher education, as well as to reduce the reporting burden on data providers. 


This goal is attained by the development of clear, standard data items and definitions in order to determine a specific cohort relevant to each item. Data items and definitions used by the U.S. Department of Education in its higher education surveys often serve as a guide in the continued development of the CDS. Common Data Set items undergo broad review by the CDS Advisory Board as well as by data providers representing secondary schools and two- and four-year colleges. Feedback from those who utilize the CDS also is considered throughout the annual review process….”

Latest Article Alert from Malaria Journal

The following new articles have just been published in Malaria Journal

Cost effectiveness of intermittent screening followed by treatment versus intermittent preventive treatment during pregnancy in West Africa: analysis and modelling of results from a non-inferiority trial
Fernandes S, Sicuri E, Halimatou D, Akazili J, Boiang K, Chandramohan D, Coulibaly S, Diawara

Latest Article Alert from Respiratory Research

The following new article has just been published in Respiratory Research

Eligibility of real-life patients with COPD for inclusion in trials of inhaled long-acting bronchodilator therapy
Halpin D, Kerkhof M, Soriano J, Mikkelsen H, Price D
Respiratory Research 2016, 17:120 (23 September 2016)

Latest Article Alert from BMC Public Health

The latest articles from BMC Public Health, published between 19-Sep-2016 and 26-Sep-2016

Research article
Cross-cultural comparison of perspectives on healthy eating among Chinese and American undergraduate students
Banna J, Gilliland B, Keefe M, Zheng D
BMC Public Health 2016, 16:1015 (26 September 2016)

Latest Article Alert from Breast Cancer Research

The following new article has just been published in Breast Cancer Research

Research article
Impact of type of full-field digital image on mammographic density assessment and breast cancer risk estimation: a case-control study
Busana M, Eng A, Denholm R, Dowsett M, Vinnicombe S, Allen S, dos-Santos-Silva I
Breast Cancer Research 2016, 18:96 (26 September 2016)

Latest Article Alert from BMC Infectious Diseases

The following new articles have just been published in BMC Infectious Diseases

Case report
Tuberculous spondylitis diagnosed through Xpert MTB/RIF assay in urine: a case report
Sikalengo G, Ramirez A, Faini D, Mwamelo K, Battegay M, Jugheli L, Hatz C, Reither K, Letang E
BMC Infectious Diseases 2016, 16:514 (26 September 2016)
Abstract http://

Crowdsourcing reproducible seizure forecasting in human and canine epilepsy

Abstract:  Accurate forecasting of epileptic seizures has the potential to transform clinical epilepsy care. However, progress toward reliable seizure forecasting has been hampered by lack of open access to long duration recordings with an adequate number of seizures for investigators to rigorously compare algorithms and results. A seizure forecasting competition was conducted on using open access chronic ambulatory intracranial electroencephalography from five canines with naturally occurring epilepsy and two humans undergoing prolonged wide bandwidth intracranial electroencephalographic monitoring. Data were provided to participants as 10-min interictal and preictal clips, with approximately half of the 60 GB data bundle labelled (interictal/preictal) for algorithm training and half unlabelled for evaluation. The contestants developed custom algorithms and uploaded their classifications (interictal/preictal) for the unknown testing data, and a randomly selected 40% of data segments were scored and results broadcasted on a public leader board. The contest ran from August to November 2014, and 654 participants submitted 17 856 classifications of the unlabelled test data. The top performing entry scored 0.84 area under the classification curve. Following the contest, additional held-out unlabelled data clips were provided to the top 10 participants and they submitted classifications for the new unseen data. The resulting area under the classification curves were well above chance forecasting, but did show a mean 6.54 ± 2.45% (min, max: 0.30, 20.2) decline in performance. The model using open access data and algorithms generated reproducible research that advanced seizure forecasting. The overall performance from multiple contestants on unseen data was better than a random predictor, and demonstrates the feasibility of seizure forecasting in canine and human epilepsy.