Diet and breeding success of long-eared owls in a semi-arid environment

Only a few studies, and mostly in temperate climates in Europe, have examined the breeding and diet of long-eared owls (Asia otus) compared to studies of cavity-breeding owls, possibly because of the difficulties in reaching the nests of the former. Here we studied a population of long-eared owls, monitoring the diet of breeding owls and that of owls at a communal roost, every two to three months during 2006 -2009, in a semi-arid region in Israel. It was found that the studied owls produced more young than in most countries in Europe. Diet was not associated with breeding parameters of the owls, whereas laying date was negatively correlated with both clutch size and number of nestlings. We found that more social voles (Microtus socialis) and fewer birds and house mice (Mus musculus) made up the diet at nests than that of adults at the roosts. The diet and breeding of long-eared owls in Israel differ from that in Europe, with birds and mice comprising an important part of the diet, in addition to voles.

Multicentre validation study of nucleic acids extraction from FFPE tissues.

In most pathology laboratories worldwide, formalin-fixed paraffin embedded (FFPE) samples are the only tissue specimens available for routine diagnostics. Although commercial kits for diagnostic molecular pathology testing are becoming available, most of the current diagnostic tests are laboratory-based assays. Thus, there is a need for standardized procedures in molecular pathology, starting from the extraction of nucleic acids. To evaluate the current methods for extracting nucleic acids from FFPE tissues, 13 European laboratories, participating to the European FP6 program IMPACTS (www.impactsnetwork.eu), isolated nucleic acids from four diagnostic FFPE tissues using their routine methods, followed by quality assessment. The DNA-extraction protocols ranged from homemade protocols to commercial kits. Except for one homemade protocol, the majority gave comparable results in terms of the quality of the extracted DNA measured by the ability to amplify differently sized control gene fragments by PCR. For array-applications or tests that require an accurately determined DNA-input, we recommend using silica based adsorption columns for DNA recovery. For RNA extractions, the best results were obtained using chromatography column based commercial kits, which resulted in the highest quantity and best assayable RNA. Quality testing using RT-PCR gave successful amplification of 200 bp-250 bp PCR products from most tested tissues. Modifications of the proteinase-K digestion time led to better results, even when commercial kits were applied. The results of the study emphasize the need for quality control of the nucleic acid extracts with standardised methods to prevent false negative results and to allow data comparison among different diagnostic laboratories.

An Efficient Segmentation Method for Ultrasound Images based on a Semi-supervised Approach and Patch-based Features

Segmenting ultrasound images is a challenging problemwhere standard unsupervised segmentation methods such asthe well-known Chan-Vese method fail. We propose in thispaper an efficient segmentation method for this class ofimages. Our proposed algorithm is based on asemi-supervised approach (user labels) and the use ofimage patches as data features. We also consider thePearson distance between patches, which has been shown tobe robust w.r.t speckle noise present in ultrasoundimages. Our results on phantom and clinical data show avery high similarity agreement with the ground truthprovided by a medical expert.

Semi-supervised remote sensing image classification with cluster kernels

A semisupervised support vector machine is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictions.

Améliorer la prescription d'un traitement hypolipémiant lors d'un syndrome coronarien aigu: absence de benefice d'une alerte automatique.

Introduction: Seulement 25-30% des patients avec syndrome coronarien aigu (SCA) atteignent les valeurs cibles de LDL-cholestérol (LDL-C) dans leur suivi. L'objectif de cette étude pré/post est de tester une alerte automatique centralisée pour améliorer les pratiques. L'alerte apparaît sur les feuilles de laboratoire pour tous les patients ayant une troponine >= 0,1 microg/l; elle précise notamment les recommandations en matière de profil lipidique (LDL-C cible) à atteindre. Méthode: Tout patient admis au CHUV pour un SCA avec troponine >= 0,1 microg/l était éligible. Durant les 2 phases de l'étude (du 23.11.2008 au 15.08.201), un bilan lipidique complet a été dosé à l'admission et à 3 mois. La phase 1 (pré) était observationnelle et le message d'alerte a été introduit pour la phase 2 (post). Résultats: Phase 1: 157 patients dont 56 (35%) étaient déjà traités par une statine: 114 hommes (âge moyen 62 ans) et 43 femmes (73 ans). LDL-C moyen: 3,4 ± 1,0 mmol/l à l'admission et 2,4 ± 0,8 mmol/l à 3 mois (p <0,001). Phase 2: 140 patients dont 42 (30%) étaient déjà traités par une statine: 116 hommes (62 ans) et 24 femmes (67 ans). LDL-C moyen: 3,4 ± 1,1 mmol/l à l'admission et 2,2 ± 1,0 mmol/l à 3 mois (p <0,001). 66 % (104 patients) atteignent un LDL-C cible < = 2,6 mmol/l à 3 mois lors de la phase 1, versus 78% (110 patients) lors de la phase 2 (p = 0,2). Les patients déjà sous statine à l'admission ont une faible diminution du LDL-C à 3 mois (de 2,8 à 2,5 mmol/l phase 1, p <0,05; de 2,5 à 2,6 mmol/l phase 2, p = 0.2), alors que les patients chez qui une statine est introduite à l'admission ont une baisse significative et plus importante du LDL-C à 3 mois (de 3,8 à 2,3 mmol/l phase 1, p <0,001; de 3,7 à 2,1 mmol/l phase 2, p <0,001) que les patients déjà sous statine au préalable. Conclusion: La phase observationnelle montre un taux élevé de patients atteignant un LDL-C cible à 3 mois. L'introduction d'une alarme automatique centralisée n'a pas permis d'améliorer ces résultats. Par contre, les patients arrivant à l'hôpital avec un SCA et étant déjà sous statine devraient avoir une intensification de leur traitement.

Geomodelling of a fluvial system with semi-supervised support vector regression

Fluvial deposits are a challenge for modelling flow in sub-surface reservoirs. Connectivity and continuity of permeable bodies have a major impact on fluid flow in porous media. Contemporary object-based and multipoint statistics methods face a problem of robust representation of connected structures. An alternative approach to model petrophysical properties is based on machine learning algorithm ? Support Vector Regression (SVR). Semi-supervised SVR is able to establish spatial connectivity taking into account the prior knowledge on natural similarities. SVR as a learning algorithm is robust to noise and captures dependencies from all available data. Semi-supervised SVR applied to a synthetic fluvial reservoir demonstrated robust results, which are well matched to the flow performance

The prognostic value of semi-quantitative i-123 mibg scintigraphy at diagnosis in high risk neuroblastoma: validation of the siopen score method

Purpose: SIOPEN scoring of 123I mIBG imaging has been shown to predict response to induction chemotherapy and outcome at diagnosis in children with HRN.Method: Patterns of skeletal 123I mIBG uptake were assigned numerical scores (Mscore) ranging from 0 (no metastasis) to 72 (diffuse metastases) within 12 body areas as described previously. 271 anonymised, paired image data sets acquired at diagnosis and on completion of Rapid COJEC induction chemotherapy were reviewed, constituting a representative sample of 1602 children treated prospectively within the HR-NBL1/SIOPEN trial. Pre-and post-treatment Mscores were compared with bone marrow cytology (BM) and 3 year event free survival (EFS).Results: Results 224/271 patients showed skeletal MIBG-uptake at diagnosis and were evaluable forMIBG-response. Complete response (CR) on MIBG to Rapid COJEC induction was achieved by 66%, 34% and 15% of patients who had pre-treatment Mscores of <18 (n¼65, 29%), 18-44 (n¼95,42%) and Y ´ 45 (n¼64, 28.5%) respectively (chi squared test p<.0001). Mscore at diagnosis and on completion of Rapid COJEC correlated strongly with BM involvement (p<0.0001). The correlation of pre score with post scores and response was highly significant (p<0.001). Most importantly, the 3 year EFS in 47 children with Mscore 0 at diagnosis was 0.68 (A ` 0.07), by comparison with 0.42 (A` 0.06), 0.35 (A` 0.05) and 0.25 (A` 0.06) for patients in pre-treatment score groups <18, 18-44 and Y ´ 45, respectively (p<0.001). AnMscore threshold ofY ´ 45 at diagnosis was associated with significantly worse outcome by comparison with all other Mscore groups (p¼0.029). The 3 year EFS of 0.53 (A` 0.07) of patients in metastatic CR (mIBG and BM) after Rapid Cojec (33%) is clearly superior to patients not achieving metastatic CR (0.24 (A ` 0.04), p¼0.005).Conclusion: SIOPEN scoring of 123I mIBG imaging has been shown to predict response to induction chemotherapy and outcome at diagnosis in children with HRN.

Automated DNA extraction using the QIAsymphony platform: Estimation of DNA recovery from simulated forensic stains

The aim of this study was to evaluate the forensic protocol recently developed by Qiagen for the QIAsymphony automated DNA extraction platform. Samples containing low amounts of DNA were specifically considered, since they represent the majority of samples processed in our laboratory. The analysis of simulated blood and saliva traces showed that the highest DNA yields were obtained with the maximal elution volume available for the forensic protocol, that is 200 ml. Resulting DNA extracts were too diluted for successful DNA profiling and required a concentration. This additional step is time consuming and potentially increases inversion and contamination risks. The 200 ml DNA extracts were concentrated to 25 ml, and the DNA recovery estimated with real-time PCR as well as with the percentage of SGM Plus alleles detected. Results using our manual protocol, based on the QIAamp DNA mini kit, and the automated protocol were comparable. Further tests will be conducted to determine more precisely DNA recovery, contamination risk and PCR inhibitors removal, once a definitive procedure, allowing the concentration of DNA extracts from low yield samples, will be available for the QIAsymphony.

Extraction sous guidage scopique et scanner des fuites de ciment para-vertebrale lors des cimentoplasties.

Objectifs: Exposer une nouvelle technique permettant le retrait de ciment extra-vertebral par fuite accidentelle lors du retrait du matériel. Matériels et méthodes: Nous injectons le ciment lorsque sa densité est celle d'une pâte dentifrice pour éviter les passages vasculaires. Lorsque la vertèbre est parfaitement remplie,nous patientons quelques minutes pour éviter la fuite de ciment le long du trajet (environ 4 a 6 cc en moyenne par vertèbre sont injectés). Malgré ces précautions,une fuite de ciment peut survenir lors du retrait du trocart. Cette complication est rare lorsque l'on prend les précautions nécessaires. Cependant, si la pressionintra-vertébrale est importante, le ciment peut être aspiré en dehors de la vertèbre. Résultats: L'aiguille du trocart est retirée pour être remplacée par une pince d'endoscopie 13 gauges. Sous guidage scopique, l'extraction se fait sous contrôle continu ; lapince retirant la fuite de ciment. Conclusion: La connaissance de cette intervention peut être très utile pour les équipes de radiologie interventionnelle , d'orthopédie et de neurochirurgie réalisant desvertébroplasties, pouvant être confrontées à ce type de problèmes.

Extraction and concentration of vapors from fire debris for forensic purposes: evaluation of the use of Radiello Passive Air Sampler

The Radiello Passive Air Sampler is one of the latest innovations developed for the sampling of pollutants in the air by passive headspace. It has been reported that its properties allow an enhanced sensitivity, reproducibility and adsorption capacity. It therefore appears to be of interest in the extraction of potential residues of ignitable liquids present in fire debris when arson is suspected. A theoretical approach and several laboratory tests have made it possible to precisely characterize in a forensic perspective the potential of the device in extracting and concentrating the vapors of ignitable liquids found in fire debris. Despite some advantages, the Radiello device appears to be less efficient than traditional axial symmetry samplers.

Endoscopic extraction of a prevertebral migrated guidewire after posterior cervical instrumentation.

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