Miracle-dz/UniFAR-FTUs huggingface dataset:
[Acute mesenteric ischemia: analysis of cases over a ten-years period (2001-2010)].

UNLABELLED Acute mesenteric ischemia is a rare disorder; it occurs on average of 0.4% of acute surgery cases. Its diagnosis is often difficult because of the poor symptoms, and mortality of the patients is still as high as 70-90%. AIMS The aims of the study were to assess the importance of time factor that may influence the outcome and to find out whether it is possible to decrease the high mortality rate in this disease. METHOD Among patients admitted to Saint Pantaleon Hospital in Hungary between January 2001 and December 2010, patients whose surgery or autopsy findings confirmed intestinal necrosis were analyzed. A total of 114 patients with acute mesenteric ischemia were included in the study. RESULTS 55% of the patients had typical symptoms. 43.8% of the patients underwent surgery and among these patients the mortality rate was 70% despite surgical intervention. The survival rate was 72.3% when surgery was performed within less than 12 hours after the onset of symptoms, but only 20% of patients survived when surgery was delayed between 24 and 48 hours after the onset of symptoms. CONCLUSION With early diagnosis and intervention, patients with acute mesenteric ischemia may have a better a chance to survive.
Paramètres de radiorésistance des cancers des voies aérodigestives supérieures et stratégies de radiosensibilisation

Head and neck cancers have been widely studied concerning their sensitivity to radiation therapy. SevePour citer cet article : Biau J, et al. Paramètres de radiorésistance des cancers des voies aérodigestives supérieures et stratégies de radiosensibilisation. Cancer Radiother (2015), http://dx.doi. org/10.1016/j.canrad. 2015.02. 014 ead and neck cancers
Dietitians’ Perspectives on Interventions to Enhance Adherence to Dietary Advice for Chronic Diseases in Adults

Purpose: To assess dietitians’ perspectives on the importance and applicability of interventions to enhance adherence to dietary advice for preventing and managing chronic diseases in adults in the Canadian context. Methods: Based on a Cochrane systematic review, we identified 8 promising interventions for enhancing adherence to dietary advice: behavioural contracts, exchange lists, feedback based on self-monitoring, individualized menu suggestions, multiple interventions, portion size awareness, telephone follow-up, and videos. Thirty-two dietitians then completed a 3-round Delphi study by responding to an electronic questionnaire asking them to rate the importance and applicability in their practice of the 8 interventions on a 7-point Likert scale. Results: Using a ≥75% level of agreement, 4 interventions showed strong consensus: multiple interventions, feedback based on self-monitoring, portion size awareness, and videos. Among these, the most significant were (means ± SD for importance and applicabili.
08 - Symphonie calculateur massivement parallèle modélisation et réalisation

L'objectif de cet article est de presenter le calculateur embarque de traitement d'image SYMPHONIE, ainsi que la methodologie mise en oeuvre pour sa realisation. Ce calculateur dont une des applications se situe au coeur du systeme de veille infrarouge de l'avion Rafale pourra comporter jusqu'a 1024 processeurs. Afin de tenir compte des contraintes de volume et de consommation, un ASIC d'un million de portes a ete developpe. Pour reussir cette realisation un modele VHDL a ete ecrit permettant des simulations de l'ensemble du systeme. Par ailleurs, ce modele a permis d'aborder la realisation du circuit ASIC en faisant appel aux outils de synthese VHDL. Nous terminerons cette presentation par quelques performances dans differents domaines d'applications.
Évolution de l’HbA 1C en fonction de l’âge et du sexe dans une population française de sujets sans diabète connu âgés de 6 à 79 ans

L’HbA 1C est desormais utilisee pour le depistage et le diagnostic du diabete. Notre objectif etait de determiner les valeurs moyennes de l’HbA 1C en fonction de l’âge et du sexe, dans une large population de sujets sans diabete connu ayant beneficie d’un examen de sante propose par leur caisse d’assurance maladie. La population de l’etude etait constituee de 5 138 hommes et femmes sans diabete connu âges de 6 a 79 ans. L’HbA 1C a ete dosee par technique CLHP standardisee selon la methode DCCT. L’HbA 1C presentait une distribution quasiment normale pour les deux sexes. Les moyennes (ecart type) etaient, hommes vs femmes, exprimees en pourcentage de 5,3 (0,4) vs 5,2 (0,3), en mmol/mol de 34 (5) vs 34 (4) et en equivalent glycemie moyenne estimee en mmol/L de 5,83 (0,67) vs 5,75 (0,53). L’HbA 1C augmentait avec l’âge de 0,08 % tous les dix ans. Apres ajustement sur la glycemie, cette augmentation etait attenuee a 0,04 %. Entre 15 et 49 ans, les femmes presentaient des valeurs plus basses que les hommes ( p < 0,0001) ; aucune difference entre sexes n’etait observee avant et apres cette tranche d’âge. Le seuil de 6,5 % pour l’HbA 1C selectionnait 0,6 % de notre population. Parmi les sujets ainsi selectionnes, 88 % (96 % d’hommes et 73 % de femmes) avaient une glycemie a jeun superieure a 6,1 mmol/L. Un seuil de 6,0 % pour l’HbA 1C selectionnerait 2,8 % de notre population.
Compressed Sensing with Generalized Hebbian Algorithm in Video Frame Prediction

Compressed Sensing with Generalized Hebbian Algorithm (GHA) in Video Frame Prediction is proposed in the paper. After analyzing the inter-frame correlation among the images of video sequences, GHA, as neural network algorithm of PCA, is adopted to remove the transform coefficients with lower value according in order to implement video compressed sensing. Furthermore, for statistics of the adjacent frames are similar enough, the algorithm processes superiority in video frame prediction. Simulation results show that, the proposed algorithm can not only improve the reconstructed quality and the visual effects of the video sequence, but also save the sampling resources. Moreover, video frames can be predicted capitally through the application of the algorithm.
Multi-model geometrical fitting for wide baseline image matching

Local feature-based matching methods have witnessed great success in the context of multiple view matching, object recognition and video content analysis. Naturally, one would like to (1) investigate the merits and shortcomings of feature-based approaches; and (2) to extend such approaches to general object classes matching problems. The present paper illustrates our research attempts along this direction. The proposed feature-based method is empirically justified, and demonstrates excellent robustness against intra-class variation, structure variation, scale change, rotation and background clutter.
Competitive edge: review of the role of glutamine, arginine and β-hydroxy-β-methylbutyrate supplements for enhancing athletic performance in addition to benefiting the body during times of stress, illness and wound healing

Glutamine and arginine are conditionally essential amino acids and betahydroxy beta-methylbutyrate (HMB which is an amino acid metabolite of leucine). During periods of extreme trauma or stress from thermal injury (burns, electrical shock), sepsis, surgery or wounds, non-essential amino acids become conditionally essential. The demands for these nutrients can become greater than the body’s ability to produce them. The diet must then provide the increased needs for these conditionally essential nutrients. Glutamine, arginine, and HMB have been marketed together as an oral nutrition supplement for facilitating wound healing, protein synthesis and promoting lean body mass (LBM) in critically ill patients. These nutrients also show promise for enhancing athletic performance. The purpose of this review is to explore the potential role and effectiveness of supplementation of glutamine, arginine and HMB on promoting athletic performance and LBM. Larger well-designed studies are needed to define the use of these supplements in enhancing athletic performance and LBM.
Atypical Placement of Hemodialysis Catheters in Patients with Complete and Irreversible Obstruction of Central Venous Vessels

Purpose This article describes the approach to atypical placement of central venous catheters (CVC) in dialysis patients with complete untreatable obstruction of central venous vessels. Methods Five patients with complete obstruction of central venous vessels underwent CT venography and digital venous angiography. After ultrasound-guided and radioscopic-assisted cannulation of the internal jugular vein, permanent CVCs were placed in atypical locations: in two patients a preliminary venous angioplasty was performed to facilitate the catheter positioning in a mediastinal enlarged collateral vein and in a persistent left superior vena cava; in three patients the CVC was placed in the azygos vein, enlarged because of the obstruction of the superior vena cava. Results In all cases, we achieved satisfactory morphological and functional immediate results. Hemodialysis (HD) was carried out long term in all patients except one who presented a non-functioning CVC after 4 months. In one case the catheter, still functioning well after 9 months, was removed due to kidney transplantation. The CVC in the left superior vena cava was replaced with a longer one after 12 months, and it is still functioning well 3 months after replacement. The patency of the other two catheters has to date been kept for 9 and 18 months. Conclusions The placement of CVC for HD in atypical sites can be considered a viable option in extreme cases; adequate imaging support is paramount in order to facilitate the procedure and to avoid complications.
CACAO — A 64‐bit JavaVM just‐in‐time compiler

This paper describes the design and implementation of CACAO, a just-in-time compiler for Java. The CACAO system translates Java byte code on demand into native code for the ALPHA processor. During this translation process the stack-oriented Java byte code is transformed into a register-oriented intermediate code. Local variables and stack locations are replaced by pseudo-registers eliminating the 32-bit restriction on address types. A fast register allocation algorithm is applied to map the pseudo-registers to machine registers. During code generation, field offsets are computed for proper alignment on 64-bit architectures. Even though the CACAO system has to incur loading and compilation time, it executes Java programs up to 85 times faster than the JDK interpreter, and up to seven times faster than the kaffe JIT compiler. It is slightly slower than equivalent C programs compiled at the highest optimization level. © 1997 John Wiley & Sons, Ltd.
Extraction and Classification of Twitter Messages to Apply in Business Intelligence

 Abstract—Nowadays the participation of users in information networks is increasing. Every day millions of people share opinions, experiences, modes through a comment, etc. However, this source of information called collective intelligence is unutilized at it is maximum capacity, because there comes a point where the user is oversaturated with so much information. The reason would be advisable to have the means to exploit the information that is expressed through the comments so that is synthesized and allow support to collective needs. This paper presents a way to exploit the information found within tweets of Twitter through programming language, ie applying data mining to the comments made. The aim is to show that through this language is simple start analyzing what the users say. The business intelligence system through social networks is proposed such as a case of study, which shows how they can be used in comments to support making decision. The Social Web has had a drive through the various websites that allow you to share information and which are known as social networking. The participation of users across these networks is astonishing; actually there are millions of people around the world who participates daily with at least one comment. But considering that a simple comment may contain relevant information, and joined the thousands of comments at a given time there is a source of collective information, synthesize that information would be important to support collective needs. This source of information can be manipulated in order to find patterns in the words that are used in the comments, and use them as benefits for the users.
A wearable respiratory plethysmography using flexible sensor

Assessment of respiratory volume is extensively performed in clinical applications in order to assess the cases of respiratory illness and the progression of the respiratory syndromes. Respiratory plethysmography is employed to determine the changes of chest volume to monitor breathing. A wearable respiration measuring system has been introduced to detect volume variations of chests. The system consists of a flexible sensor, stretchable cloth and electrical board. The flexible sensor, which measures electrical voltage produced by extension movements, is installed inside the shirt and nearly contacts the chest. The system can be used everywhere and be self-applied by patients. The main features of this system are: low cost, low weight and applicable for athletics and patients. We have tested the system 34 times for calibration. The curve equation of the flexible sensor output versus the output of spirometer is presented by two different methods (neural network and curve fitting). Finally, this curve equation can be applied to determine the changes of chest volume.
HMDS: A Novel View of Data System Based on Hybrid Memory Architecture With Non-Volatility

In now Big Data era, rapidly growing data size and limited computing capability of current computer system have brought sharp contradiction between these two issues. So it is urgent to improve the data storage and processing ability for current computer system. Emerging byte-addressable, nonvolatile memory (NVM) technology, can work like DRAM but with non-volatility, is expected to bring new opportunity of computing capability improvement in the near future. According to the hardware changes, it is necessary to reconsider the changes of system software and data storage methodology, especially the role of the data in the system. In this paper, we add the NVM to the computer architecture, and base on the hardware changes, we reconsider the design method of system software, among this we propose the concept of Data System, design a software defined interface, reconfig the system architecture without any real hardware changes. Finally, we present HMDS, a flexible hybrid memory data system architecture. Data system consider data as the center of a whole system, data storage is the foundation, data accessing and processing is the superstructure and all system parts as a service for the data. We think our architecture is novel and can bring data storage and processing a new perspective. Keywords—Big Data; NVM; Data System
Robot-mediated communications: robots promoting matchmaking between humans

As expectations are high for robots to provide daily support to humans, and for humans and robots to work together constantly in the future, it is important to investigate how relationships between them can be formed in society. This paper looks at robot-mediated communications in human society. We predict that human communication patterns will change when the robots described above come to join humans. We therefore propose a robot system that considers all of this. The characteristics of our robot system include a consistent interface connected to a digital world and a physical world, guidance according to the user's interest and autonomous behaviors using artificial life technology. A robot with these functions can be a matchmaker between humans who have similar interests and can therefore promote creative collaboration.
Research and Management Mechanism of Special Test Instrument Based on Knowledge Sharing and Value Sharing

Special test instrument used for aerodynamics research, especially instrument and equipment used for the field of flow visualization, possesses characteristics such as precious value and high technical content. Through analysis of current status of research and management of special test instrument, it brings in concepts of knowledge sharing and value sharing and probes into research and development and management mechanism of special test instrument so as to realize optimization of resource.
Complementary and Alternative Medicine in Patients with Inflammatory Bowel Disease: Results of a Cross-Sectional Study in Slovakia

Background and aim: Use of complementary and alternative medicine (CAM) among patients with inflammatory bowel disease (IBD) in Western Europe is common. Data on the frequency of CAM use among IBD patients in Eastern Europe is lacking. The aim of this study was to examine the proportion of CAM use among IBD-patients from Slovakia and to investigate patients' satisfaction with CAM treatment. Methods: This descriptive cross-sectional study examined IBD patients from the region of Martin, Slovakia. Measures included socio-demographic and disease- related data, and a questionnaire regarding CAM use. Results: A total of 133 patients were contacted for participation in the study, of these 103 patients accepted. Fifty-three percent was female, median age was 43 years (range 21 to 80) and median disease duration was 5.5 years, (range 1.0 to 28.0). Forty-six patients (45%) had UC and 57 (55%) had CD. A total of 34% (35/103) of the patients had used CAM for IBD related reasons and 76% of the CAM users reported that they had used CAM regularly during the previous 6 months. Herbal products (31%) and homeopathy (28%) were the most frequently reported CAMs. Thirty percent was "mostly or very satisfied", 64 % were "somewhat satisfied", and 6 % were "not at all satisfied". Conclusion: Approximately one third of the IBD patients from Slovakia had used CAM and one third was satisfied with the treatment. Our findings are in accordance with results from similar studies in Europe.
First-Ever Acute Stroke in the Very Elderly: A Retrospective Study in Akita Prefecture, Japan, 1996-1998

Background: The highest life expectancy is registered in Japan for both women and men at the present. The stroke of the very elderly has different features than the younger’s’ one, but published data is still scarce on this topic. The very elderly seem to receive fewer vascular protection interventions that have been shown to be effective in younger individuals. Although there has been an underrepresentation of the very elderly in studies of stroke therapy, these treatments might be of benefit to this group of patients. Subjects and Methods: The subjects were selected from the Akita Stroke Registry with first-ever acute stroke from 1996 to 1998. Results: 8,046 cases were recorded, 7362 patients aged <85 years, and 684 patients aged ≥85 years. Sex ratio (w/m) was 0.84 and 1.89 in the two age groups. In the population of Akita the crude incidence of first-ever stroke was 222/100,000/year, and 1,085/100,000/year in the very elderly, who were characterized with significantly lower prevalence of stroke risk factors, except that of atrial fibrillation and cardiac diseases. The stroke subtype distribution in the two age groups (young/old) was significantly different (intracerebral haemorrhage 26.7% vs. 20.6%, infarction 60.0% vs. 73.2%, SAH 13.3% vs. 6.2%). Severity at onset was higher in the very elderly patients (consciousness disturbance 29.9% vs. 45.5% and severe motor deficit 75.6% vs. 86.4%). Both 28 day case fatality (10, 1% vs. 22.3%) and 1 year mortality rates (17.8% vs. 48.8%) were poorer in the very elderly. The most powerful prognostic factor of death was consciousness level at onset in both age groups. The following in order was the SAH stroke subtype. In the elder group the risk factors were not independent predictors of death, except diabetes for death within 28 days.
Edge Detection Based on Extrinsic Evolvable Hardware

Abstract—Edge detection, the process of locating the edge of an image, is a basic and important subject in computer vision and image processing. There are different techniques for detecting the edges of images among which the evolvable hardware has drawn the attention of researchers for the case in the recent years. This paper is to describe the application of Evolvable Hardware (EHW) to detect the edges based on Sobel operator, the primary edge detection method. In this regard, the smoothing filter is applied to the images which are contaminated by Gaussian noise with the mean of 0 and different variance levels. Evolutionary design of edge detector performs Evolution of spatial masks and threshold. EHW filter is used to conduct the purpose of this paper and the relevant obtained results are compared with the ones gained using only Sobel operator which has constant threshold and spatial masks. According to the results, the edge detection is improved because of using EHW filter.
Stochastic processes in the neurosciences

Deterministic Theories and Stochastic Phenomena in Neurobiology Synaptic Transmission Early Stochastic Models for Neuronal Activity including Poisson Processes and Random Walks Discontinuous Markov Processes with Exponential Decay One-dimensional Diffusion Processes Stochastic PDEs Statistical Analysis of Stochastic Neural Activity Channel Noise Wiener Kernel Expansions Stochastic Activity of Neuronal Populations.
Awareness-based game-theoretic space resource management

Over recent decades, the space environment becomes more complex with a significant increase in space debris and a greater density of spacecraft, which poses great difficulties to efficient and reliable space operations. In this paper we present a Hierarchical Sensor Management (HSM) method to space operations by (a) accommodating awareness modeling and updating and (b) collaborative search and tracking space objects. The basic approach is described as follows. Firstly, partition the relevant region of interest into district cells. Second, initialize and model the dynamics of each cell with awareness and object covariance according to prior information. Secondly, explicitly assign sensing resources to objects with user specified requirements. Note that when an object has intelligent response to the sensing event, the sensor assigned to observe an intelligent object may switch from time-to-time between a strong, active signal mode and a passive mode to maximize the total amount of information to be obtained over a multi-step time horizon and avoid risks. Thirdly, if all explicitly specified requirements are satisfied and there are still more sensing resources available, we assign the additional sensing resources to objects without explicitly specified requirements via an information based approach. Finally, sensor scheduling is applied to each sensor-object or sensor-cell pair according to the object type. We demonstrate our method with realistic space resources management scenario using NASA's General Mission Analysis Tool (GMAT) for space object search and track with multiple space borne observers.
P2P Overlay Maintenance Algorithm

Peer to peer networking has emerged as viable business model and systems architecture for internet scale application since it attracts millions of simultaneous participants. In P2P overlay network (collection of peer connections in a P2P network) peers join and leave the overlay arbitrarily and do not stay in the overlay for a predictable time. To ensure dependability of the overlay, peers with neighbor links to the joining or leaving peers requires updates. Therefore overlay maintenance protocols have to be devised to include efficient features that able to handle peer churn. In this paper we are focusing on the P2P overlay maintenance protocol through which the peers in the overlay maintains routing properties, referred as overlay maintenance. We have proposed an efficient method to find stale routing table entries in a way that retains the desired routing behavior since the look up query traffic and overlay maintenance traffic both compete for the underlying network bandwidth and resources, maintenance traffic should be constrained to that needed for target table accuracy.