Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Integrating medical images, biosignals, and alphanumeric data in a cardiological department

A Cardiology multimedia patient record is under development. This long-term project incorporates the accomplishment of 5 main goals. 1. A digital archive for angiographic and echocardiographic images. 2. Viewing stations for these digital images. 3. An integrated digital Cathlab database 4. An integrated digital Echocardiography database. 5. A cardiologic workstation allowing the physicians transparent access to multi-modal data. A prototype of this workstation is in operation in our outpatient clinic and includes access to an ECG-management system, the hospital information system, the departmental information system of the Thoraxcenter, and the prototypes of the integrated Echocardiography and Cathlab databases. This paper provides a snapshot describing prototypes of some of the systems, intermediate results and steps for solutions and further directions of developments

Predictors of unfavourable outcome in adults with suspected central nervous system infections:a prospective cohort study

Suspected central nervous system (CNS) infections may pose a diagnostic challenge, and often concern severely ill patients. We aim to identify predictors of unfavourable outcome to prioritize diagnostics and treatment improvements. Unfavourable outcome was assessed on the Glasgow Outcome Scale at hospital discharge, defined by a score of 1 to 4. Of the 1152 episodes with suspected CNS infection, from two Dutch prospective cohorts, the median age was 54 (IQR 37–67), and 563 episodes (49%) occurred in women. The final diagnoses were categorized as CNS infection (N = 358 episodes, 31%), CNS inflammatory disease (N = 113, 10%), non-infectious non-inflammatory neurological disorder (N = 388, 34%), non-neurological infection (N = 252, 22%), and other systemic disorder (N = 41, 4%). Unfavourable outcome occurred in 412 of 1152 (36%), and 99 died (9%). Predictors for unfavourable outcomes included advanced age, absence of headache, tachycardia, altered mental state, focal cerebral deficits, cranial nerve palsies, low thrombocytes, high CSF protein, and the final diagnosis of CNS inflammatory disease (odds ratio 4.5 [95% confidence interval 1.5–12.6]). Episodes suspected of having a CNS infection face high risk of experiencing unfavourable outcome, stressing the urgent need for rapid and accurate diagnostics. Amongst the suspected CNS infection group, those diagnosed with CNS inflammatory disease have the highest risk.</p

Alignement des systemes laser en production

SIGLEAvailable at INIST (FR), Document Supply Service, under shelf-number : AR 15293 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc

Research Investigation on Food Information User’s Behaviour

Part 6: Users and Organizations ProfilingInternational audienceRecent advances in smart food technologies have renewed the attractiveness of those studies on human information behaviour that take the food consumer as focus of interest. In this paper, we introduce a reference framework to model the food information usage process and the interrelation between the food consumer’s behaviour and the food information user’s behaviour. Basing on this framework, we present a literature review that classifies research works according to research approach types and stages of the food information usage process. The aim is to present a state of art of significance to food marketing and to the development of food intelligent services with higher satisfaction and value