scholarly journals Effect of a Neonatal Resuscitation Course on Healthcare Providers’ Performances Assessed by Video Recording in a Low-Resource Setting

PLoS ONE ◽  
2015 ◽  
Vol 10 (12) ◽  
pp. e0144443 ◽  
Author(s):  
Daniele Trevisanuto ◽  
Federica Bertuola ◽  
Paolo Lanzoni ◽  
Francesco Cavallin ◽  
Eduardo Matediana ◽  
...  
Neonatology ◽  
2018 ◽  
Vol 114 (4) ◽  
pp. 294-302 ◽  
Author(s):  
Maria Elena Cavicchiolo ◽  
Francesco Cavallin ◽  
Federica Bertuola ◽  
Damiano Pizzol ◽  
Giulia Segafredo ◽  
...  

Author(s):  
Joseph. O. Yaria ◽  
Adesola Ogunniyi

Objective: In management of epilepsy, identification of an epileptic seizure, classification, epilepsy syndromes, and management decisions relies heavily on seizure semiology. However, since most seizures are not witnessed, obtained semiology has its limitations. This study aimed to determine how many patients could successfully submit a home recording of a seizure event and if adapted video compilations would improve epilepsy diagnosis and classification in a low resource setting. Methods: A prospective cross-sectional study carried out at a neurology clinic in a teaching hospital in a low-resource setting. Sixty-seven randomly selected patients with recurrent unprovoked seizures and an informant who had regular observed the seizures and had access to video recording facilities were enrolled. Participants were required to fill an interviewer-administered questionnaire, select from a pre-designed video compilation what best described seizure witnessed, then encouraged on acquisition of video recordings at home. In the absence of video electroencephalography, information obtained was compared with a pre-defined algorithm which combined clinical history, physical examination, EEG results and neuro-images. Accuracy and reliability was calculated for different semiological signs and seizure classification. Results: Sixty seven patients were recruited comprising of 30 females and 37 male patients. Only eight (12%) participants returned with an adequate home recording of seizure episode. Incorporating video selection with questionnaire obtained description improved accuracy for generalized seizure (0.85 vs 0.79) and focal onset seizure (0.84 vs 0.73). Test-retest reliability on video selections by informants showed kappa coefficients ranging from 0.88 – 1.000.  Significance: Home video recording may not be as practical in our environment depending on the setting as adjustments may be required to make it routine. However, selecting videos from pre-selected video compilation may be a viable alternative to improve accuracy.


2016 ◽  
Vol 106 (2) ◽  
pp. 344-344 ◽  
Author(s):  
Maria Elena Cavicchiolo ◽  
Marco Daverio ◽  
Paolo Lanzoni ◽  
Giulia Segafredo ◽  
Damiano Pizzol ◽  
...  

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 93-LB
Author(s):  
EDDY JEAN BAPTISTE ◽  
PHILIPPE LARCO ◽  
MARIE-NANCY CHARLES LARCO ◽  
JULIA E. VON OETTINGEN ◽  
EDDLYS DUBOIS ◽  
...  

2021 ◽  
Vol 14 (4) ◽  
pp. e239250
Author(s):  
Vijay Anand Ismavel ◽  
Moloti Kichu ◽  
David Paul Hechhula ◽  
Rebecca Yanadi

We report a case of right paraduodenal hernia with strangulation of almost the entire small bowel at presentation. Since resection of all bowel of doubtful viability would have resulted in too little residual length to sustain life, a Bogota bag was fashioned using transparent plastic material from an urine drainage bag and the patient monitored intensively for 18 hours. At re-laparotomy, clear demarcation lines had formed with adequate length of viable bowel (100 cm) and resection with anastomosis was done with a good outcome on follow-up, 9 months after surgery. Our description of a rare cause of strangulated intestinal obstruction and a novel method of maximising length of viable bowel is reported for its successful outcome in a low-resource setting.


Author(s):  
Víctor Lopez-Lopez ◽  
Ana Morales ◽  
Elisa García-Vazquez ◽  
Miguel González ◽  
Quiteria Hernandez ◽  
...  

Author(s):  
Navin Kumar ◽  
Mukur Dipi Ray ◽  
D. N. Sharma ◽  
Rambha Pandey ◽  
Kanak Lata ◽  
...  

Author(s):  
Shumin Shi ◽  
Dan Luo ◽  
Xing Wu ◽  
Congjun Long ◽  
Heyan Huang

Dependency parsing is an important task for Natural Language Processing (NLP). However, a mature parser requires a large treebank for training, which is still extremely costly to create. Tibetan is a kind of extremely low-resource language for NLP, there is no available Tibetan dependency treebank, which is currently obtained by manual annotation. Furthermore, there are few related kinds of research on the construction of treebank. We propose a novel method of multi-level chunk-based syntactic parsing to complete constituent-to-dependency treebank conversion for Tibetan under scarce conditions. Our method mines more dependencies of Tibetan sentences, builds a high-quality Tibetan dependency tree corpus, and makes fuller use of the inherent laws of the language itself. We train the dependency parsing models on the dependency treebank obtained by the preliminary transformation. The model achieves 86.5% accuracy, 96% LAS, and 97.85% UAS, which exceeds the optimal results of existing conversion methods. The experimental results show that our method has the potential to use a low-resource setting, which means we not only solve the problem of scarce Tibetan dependency treebank but also avoid needless manual annotation. The method embodies the regularity of strong knowledge-guided linguistic analysis methods, which is of great significance to promote the research of Tibetan information processing.


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