nils-herrmann/clean_scirepeval huggingface dataset:
L'episiotomie en France en 2010 variations des pratiques selon le contexte obstetrical et le lieu d'accouchement

Resume But Analyser comment les taux d'episiotomie varient suivant les caracteristiques des femmes et des maternites et etudier la variabilite des taux entre les maternites et les regions en France. Materiel et methodes Notre etude comprenait toutes les femmes ayant accouche par voie basse dans l'enquete nationale perinatale realisee en France en 2010 (n 11 322) Nous avons estime les risques relatifs ajustes d'episiotomie (RRa) selon les caracteristiques des femmes et des maternites, et analyse la variabilite des taux entre maternites et entre regions par des regressions de Poisson multiniveaux, stratifiees sur la parite. Resultats En 2010, 26,8 des femmes ont eu une episiotomie (44,7 des primipares, 14,2 des multipares) Les principaux facteurs associes a la realisation d'une episiotomie etaient l'origine asiatique (primipares RRa 1,32 [1,16 1,51] multipares RRa 2,30 [1,67 3,16] le siege (primipares RRa 2,14 [1,87 2,21] multipares RRa 3,32 [2,52 4,38] et la voie basse instrumentale (primipares RRa 2,04 [1,89 2,11] multipares RRa 3,19  Les autres facteurs associes etaient un indice de masse corporelle eleve, l'administration d'ocytocine pendant le travail, une voie basse spontanee realisee par un obstetricien, un poids de naissance eleve et chez les multipares, un antecedent de cesarienne sans voie basse anterieure et une analgesie peridurale. Les taux variaient entre les regions (primipares de 17 a 64 multipares de 3 a 21 La variance etait significative entre les regions et entre les maternites.  Les differences entre regions et entre maternites sont peu expliquees par les caracteristiques des femmes et des nouveau nes. Il serait utile d'etudier les attitudes et les points de vue des obstetriciens et des sages femmes vis a vis de la protection du perinee pour mieux comprendre ces differences.
Augmentation des taux de prevalence de la souffrance psychique en lien avec le travail chez les salaries actifs en France entre 2007 et 2012, a partir du programme MCP

La souffrance psychique en lien avec le travail (SPLT) prend de plus en plus d'importance dans les pathologies d'origine professionnelle. Or, celle ci ne figure dans aucun tableau de maladie professionnelle reconnue par les differents regimes de securite sociale. Notre objectif etait de decrire l'evolution des taux annuels de prevalence de la SPLT entre 2007 et 2012 et d'etudier l'association entre la SPLT et l'age, la categorie sociale et le secteur d'activite. Methode A partir des donnees issues du Programme de surveillance des maladies a caractere professionnel (MCP) qui s'appuie sur un reseau de medecins du travail volontaires, les taux annuels de prevalence de la SPLT ont ete calcules pour la periode 2007 a 2012 et des regressions logistiques ont ete realisees afin de tester l'association entre la SPLT et l'age, la categorie sociale et le secteur d'activite. Les analyses ont ete faites separement chez les hommes et chez les femmes. Resultats Les taux de prevalence de la SPLT etaient 2 fois plus eleves chez les femmes que chez les hommes, quelle que soit l'annee. Ces taux ont augmente sur la periode 2007 a 2012, aussi bien chez les femmes de 2,3 a 3,1 que chez les hommes de 1,1 a 1,4 Contrairement au secteur d'activite, l'age et la categorie sociale etaient fortement associes a SPLT en analyses multivariees. Celle ci etait plus souvent signalee chez les salaries ages de 45 a 54 ans en comparaison a ceux ages de moins de 25 ans OR 4,1, IC 95 [2,9 5,7] chez les femmes et OR 6,0, IC 95  chez les hommes) et plus souvent rapportee chez les cadres par rapport aux ouvriers OR 4,2, IC 95  chez les femmes et OR 3,1, IC 95  chez les hommes) Discussion L'augmentation des taux de prevalence de la SPLT sur la periode 2007 2012 est a mettre en parallele avec une degradation constatee des conditions de travail et d'une mediatisation croissante de cette problematique. Le gradient social croissant observe des ouvriers vers les cadres pourrait etre explique par une moindre verbalisation de cette souffrance chez les ouvriers, ceux ci l'exprimeraient davantage par des plaintes somatiques. Les facteurs d'augmentation du taux de prevalence de la SPLT sont dependants de l'avancee en age et de l'ascension sociale independamment du secteur d'activite.
Les credits aux entreprises a taux particulierement bas en France

Les taux des credits bancaires aux entreprises ont fortement baisse depuis la crise, notamment sous l'effet des mesures de politique monetaire, mais ils sont egalement plus disperses, temoignant d'une plus forte discrimination de la part des banques. Les taux particulierement bas representent une part significative des nouveaux credits, et ils sont accordes principalement a des entreprises saines.
The progressive role of acoustic cavitation for non invasive therapies, contrast imaging and blood tumor permeability enhancement
Venue: Expert opinion on drug delivery

Drug delivery pertaining to acoustic cavitation generated from ultrasonic (US) irradiation is advantageous for devising smarter and more advanced therapeutics. The aim is to showcase microbubbles as drug carriers and robust theranostic for non invasive therapies across diverse biomedical disciplines, highlighting recent technologies in this field for overcoming the blood brain barrier (BBB) to treat cancers and neurological disorders.  This article reviews work on the optimized tuning of ultrasonic parameters, sonoporation, transdermal and responsive drug delivery, acoustic cavitation in vasculature and oncology, contrast imaging for real time magnification of cell microbubble dynamics and biomolecular targeting. Scholarly literature was sought through database search on key terminology, latest topics, reputable experts and established journals over the last five years.  Cavitation offers immense promise in overcoming current diffusion and convection limitations for treating skull/brain/vascular/tissue injuries and ablating tumors to minimize chronic/acute effects. Since stable cavitation facilitates the restoration of US opened BBB and the modulation of drug concentration, US equipment with programmable imaging modality and sensitivity are envisaged to create safer miniaturized devices for personalized care. Due to differing biomedical protocols with regard to specific medical conditions, quantitative and qualitative controls are mandatory before translation to real life clinical applications can be accomplished.
Base Isolation for Seismic Retrofitting of a Multiple Building Structure: Evaluation of Equivalent Linearization Method

Although the most commonly used isolation systems exhibit nonlinear inelastic behaviour, the equivalent linear elastic analysis is commonly used in the design and assessment of seismic isolated structures. The paper investigates if the linear elastic model is suitable for the analysis of a seismically isolated multiple building structure. To this aim, its computed responses were compared with those calculated by nonlinear dynamic analysis. A common base isolation plane connects the isolation bearings supporting the adjacent structures. In this situation, the conventional equivalent linear elastic analysis may have some problems of accuracy because this method is calibrated on single base isolated structures. Moreover, the torsional characteristics of the combined system are significantly different from those of separate isolated buildings. A number of numerical simulations and parametric studies under earthquake excitations were performed. The accuracy of the dynamic response obtained by the equivalent linear elastic model was calculated by the magnitude of the error with respect to the corresponding response considering the nonlinear behaviour of the isolation system. The maximum displacements at the isolation level, the maximum interstorey drifts, and the peak absolute acceleration were selected as the most important response measures. The influence of mass eccentricity, torsion, and high modes effects was finally investigated.
Identification of the Response of a Controlled Building Structure Subjected to Seismic Load by Using Nonlinear System Models

The present study investigates the prediction efficiency of nonlinear system identification models, in assessing the behavior of a coupled structure passive vibration controller. Two system identification models, including Nonlinear AutoRegresive with eXogenous inputs (NARX) and adaptive neuro fuzzy inference system (ANFIS) are used to model the behavior of an experimentally scaled three story building incorporated with a tuned mass damper (TMD) subjected to seismic loads. The experimental study is performed to generate the input and output data sets for training and testing the designed models. The parameters of root mean squared error, mean absolute error and determination coefficient statistics are used to compare the performance of the aforementioned models. A TMD controller system works efficiently to mitigate the structural vibration. The results revealed that the NARX and ANFIS models could be used to identify the response of a controlled structure. The parameters of both two time delays of the structure response and the seismic load were proven to be effective tools in identifying the performance of the models. A comparison based on the parametric evaluation of the two methods showed that the NARX model outperforms the ANFIS model in identifying structures response.
Antioxidant potential of lichen species and their secondary metabolites. A systematic review
Venue: Pharmaceutical biology

Pharmacological interest of lichens lies in their capacity to produce bioactive secondary metabolites, being most of them phenolic compounds with reactive hydroxyl groups that confer antioxidant potential through various mechanisms. Increasing incidence and impact of oxidative stress related diseases (i.e. neurodegenerative disorders) has encouraged the search of new pharmacological strategies to face them. Lichens appear to be a promising source of phenolic compounds in the discovery of natural products exerting antioxidant activity.  The present review thoroughly discusses the available knowledge on antioxidant properties of lichens, including both in vitro and in vivo studies and the parameters assessed so far on lichen constituents.  Literature survey was performed by using as main databases PubMed, Google Scholar, Scopus, Science Direct, and Recent Literature on Lichens. We reviewed 98 highlighted research articles without date restriction.  Current report collects data related to antioxidant activities of more than 75 lichen species (from 18 botanical families) and 65 isolated metabolites. Much information comes from in vitro investigations, such as chemical assays evaluating radical scavenging properties, lipid peroxidation inhibition, and reducing power of lichen species and compounds; similarly, research on cellular substrates and animal models generally measures antioxidant enzymes levels and other antioxidant markers, such as glutathione levels or tissue peroxidation.  Since consistent evidence demonstrated the contribution of oxidative stress on the development and progression of several human diseases, reviewed data suggest that some lichen compounds are worthy of further investigation and better understanding of their antioxidant and neuroprotective potentials.
A Perception Based Hybrid Model for Video Quality Assessment
Venue: IEEE Transactions on Circuits and Systems for Video Technology

It is known that the human visual system (HVS) employs independent processes (distortion detection and artifact perception also often referred to as near threshold and suprathreshold distortion perception) to assess video quality for various distortion levels. Visual masking effects also play an important role in video distortion perception, especially within spatial and temporal textures. In this paper, a novel perception based hybrid model for video quality assessment is presented. This simulates the HVS perception process by adaptively combining noticeable distortion and blurring artifacts using an enhanced nonlinear model. Noticeable distortion is defined by thresholding absolute differences using spatial and temporal tolerance maps that characterize texture masking effects, and this makes a significant contribution to quality assessment when the quality of the distorted video is similar to that of the original video. Characterization of blurring artifacts, estimated by computing high frequency energy variations and weighted with motion speed, is found to further improve metric performance. This is especially true for low quality cases. All stages of our model exploit the orientation selectivity and shift invariance properties of the dual tree complex wavelet transform. This not only helps to improve the performance but also offers the potential for new low complexity in loop application. Our approach is evaluated on both the Video Quality Experts Group (VQEG) full reference television Phase I and the Laboratory for Image and Video Engineering (LIVE) video databases. The resulting overall performance is superior to the existing metrics, exhibiting statistically better or equivalent performance with significantly lower complexity.
REASON BASED CHOICE AND CONTEXT DEPENDENCE: AN EXPLANATORY FRAMEWORK
Venue: Economics and Philosophy

We introduce a 'reason based' framework for explaining and predicting individual choices. The key idea is that a decision maker focuses on some but not all properties of the options and chooses an option whose 'motivationally salient' properties he/she most prefers. Reason based explanations can capture two kinds of context dependent choice: (i) the motivationally salient properties may vary across choice contexts, and (ii) they may include 'context related' properties, not just 'intrinsic' properties of the options. Our framework allows us to explain boundedly rational and sophisticated choice behaviour. Since properties can be recombined in new ways, it also offers resources for predicting choices in unobserved contexts.
Log Clustering Based Problem Identification for Online Service Systems
Venue: 2016 IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE C)

Logs play an important role in the maintenance of large scale online service systems. When an online service fails, engineers need to examine recorded logs to gain insights into the failure and identify the potential problems. Traditionally, engineers perform simple keyword search (such as "error" and "exception" of logs that may be associated with the failures. Such an approach is often time consuming and error prone. Through our collaboration with Microsoft service product teams, we propose LogCluster, an approach that clusters the logs to ease log based problem identification. LogCluster also utilizes a knowledge base to check if the log sequences occurred before. Engineers only need to examine a small number of previously unseen, representative log sequences extracted from the clusters to identify a problem, thus significantly reducing the number of logs that should be examined, meanwhile improving the identification accuracy. Through experiments on two Hadoop based applications and two large scale Microsoft online service systems, we show that our approach is effective and outperforms the state of the art work proposed by Shang et al. in ICSE 2013. We have successfully applied LogCluster to the maintenance of many actual Microsoft online service systems. In this paper, we also share our success stories and lessons learned.
Quantum consciousness in warm, wet, and noisy brain

The emergence of quantum consciousness stems from dynamic flows of hydrogen ions in brain liquid. This liquid contains vast areas of the fourth phase of water with hexagonal packing of its molecules, the so called exclusion zone (EZ) of water. The hydrogen ion motion on such hexagonal lattices shows as the hopping of the ions forward and the holes (vacant places) backward, caused by the Grotthuss mechanism. By supporting this motion using external infrasound sources, one may achieve the appearance of the superfluid state of the EZ water. Flows of the hydrogen ions are described by the modified Navier Stokes equation. It, along with the continuity equation, yields the nonlinear Schrodinger equation, which describes the quantum effects of these flows, such as the tunneling at long distances or the interference on gap junctions.
The cosmic energy bridge, cellular quantum consciousness and its connections

A conscious moment occurs when an individual is in a state of awareness of one's self and the external environment. The human brain has been extensively studied to understand the phenomena of human thought and behavior in the context of consciousness. Consciousness has always been linked to the nervous system but there are several studies that have recorded conscious behaviours in organisms without nerve cells. This paper hypothesizes that quantum energy generated consciousness emerges in each and every living cell and traverses by means of electromagnetic radiation; an oldest form of energy that exist in the cosmos and which utilizes the cellular structures to flow by means of a coherent, invisible, powerful, recyclable process; a connection with the cosmic energy bridge
HUWE1 mutations in Juberg Marsidi and Brooks syndromes: the results of an X chromosome exome sequencing study
Venue: BMJ Open

X linked intellectual disability (XLID) syndromes account for a substantial number of males with ID. Much progress has been made in identifying the genetic cause in many of the syndromes described 20 40 years ago. Next generation sequencing (NGS) has contributed to the rapid discovery of XLID genes and identifying novel mutations in known XLID genes for many of these syndromes.  2 NGS approaches were employed to identify mutations in X linked genes in families with XLID disorders. 1 involved exome sequencing of genes on the X chromosome using the Agilent SureSelect Human X Chromosome Kit. The second approach was to conduct targeted NGS sequencing of 90 known XLID genes.  We identified the same mutation, a c.12928 G>C transversion in the HUWE1 gene, which gives rise to a p.G4310R missense mutation in 2 XLID disorders: Juberg Marsidi syndrome (JMS) and Brooks syndrome. Although the original families with these disorders were considered separate entities, they indeed overlap clinically. A third family was also found to have a novel HUWE1 mutation.  As we identified a HUWE1 mutation in an affected male from the original family reported by Juberg and Marsidi, it is evident the syndrome does not result from a mutation in ATRX as reported in the literature. Additionally, our data indicate that JMS and Brooks syndromes are allelic having the same HUWE1 mutation.
Widefield lensless imaging through a fiber bundle via speckle correlations.
Venue: Optics express

Flexible fiber optic endoscopes provide a solution for imaging at depths beyond the reach of conventional microscopes. Current endoscopes require focusing and/or scanning mechanisms at the distal end, which limit miniaturization, frame rate, and field of view. Alternative wavefront shaping based lensless solutions are extremely sensitive to fiber bending. We present a lensless, bend insensitive, single shot imaging approach based on speckle correlations in fiber bundles that does not require wavefront shaping. Our approach computationally retrieves the target image by analyzing a single camera frame, exploiting phase information that is inherently preserved in propagation through convnetional fiber bundles. Unlike conventional fiber based imaging, planar objects can be imaged at variable working distances, the resulting image is unpixelated and diffraction limited, and miniaturization is limited only by the fiber diameter.
Widefield lensless endoscopy via speckle correlations

Flexible fiber optic endoscopes provide a minimally invasive solution for imaging at depths beyond the reach of conventional microscopes. Current endoscopes require focusing and/or scanning mechanisms at the distal end, which limit miniaturization and frame rate, and induce aberrations. Alternative lensless solutions are based on adaptive wavefront correction, but are extremely sensitive to fiber bending. Here, we demonstrate a novel endoscopic approach, which enables single shot imaging at a variable working distance through a conventional fiber bundle, without the use of any distal optics. Our approach computationally retrieves the object image from a single speckle pattern transmitted through the bundle, exploiting phase information preserved through inherent angular speckle correlations. Unlike conventional fiber bundle endoscopes, the resulting image is unpixelated, the resolution is diffraction limited, objects can be imaged at variable working distance, and the technique is completely insensitive to fiber bending. Since no optical elements are required, miniaturization is limited only by the bundle diameter.
EEG based mild depressive detection using feature selection methods and classifiers
Venue: Comput. Methods Programs Biomed.

Depression has become a major health burden worldwide, and effectively detection of such disorder is a great challenge which requires latest technological tool, such as Electroencephalography (EEG) This EEG based research seeks to find prominent frequency band and brain regions that are most related to mild depression, as well as an optimal combination of classification algorithms and feature selection methods which can be used in future mild depression detection.  An experiment based on facial expression viewing task (Emo_block and Neu_block) was conducted, and EEG data of 37 university students were collected using a 128 channel HydroCel Geodesic Sensor Net (HCGSN) For discriminating mild depressive patients and normal controls, BayesNet (BN) Support Vector Machine (SVM) Logistic Regression (LR) k nearest neighbor (KNN) and RandomForest (RF) classifiers were used. And BestFirst (BF) GreedyStepwise (GSW) GeneticSearch (GS) LinearForwordSelection (LFS) and RankSearch (RS) based on Correlation Features Selection (CFS) were applied for linear and non linear EEG features selection. Independent Samples T test with Bonferroni correction was used to find the significantly discriminant electrodes and features.  Data mining results indicate that optimal performance is achieved using a combination of feature selection method GSW based on CFS and classifier KNN for beta frequency band. Accuracies achieved 92.00% and 98.00% and AUC achieved 0.957 and 0.997, for Emo_block and Neu_block beta band data respectively. T test results validate the effectiveness of selected features by search method GSW. Simplified EEG system with only FP1, FP2, F3, O2, T3 electrodes was also explored with linear features, which yielded accuracies of 91.70% and 96.00% AUC of 0.952 and 0.972, for Emo_block and Neu_block respectively.  Classification results obtained by GSW KNN are encouraging and better than previously published results. In the spatial distribution of features, we find that left parietotemporal lobe in beta EEG frequency band has greater effect on mild depression detection. And fewer EEG channels (FP1, FP2, F3, O2 and T3) combined with linear features may be good candidates for usage in portable systems for mild depression detection.