Miracle-dz/UniFAR-FTUs huggingface dataset:
Piloter les projets d'innovation au sein des pôles de compétitivité: Des leviers managériaux à mobiliser

(VF)Au sein des poles de competitivite francais, des projets collaboratifs font travailler ensemble, sur une meme zone geographique, des salaries de PME, de grands groupes et de laboratoires publics, autant d’acteurs relevant d’objectifs, de cultures professionnelles et de systemes de management tres differents. Cet article propose un modele d’analyse de la collaboration dans ce contexte specifique. L’etude comparative de deux projets en cours dans un meme pole de competitivite, met en lumiere la variete possible des situations et des pratiques de pilotage. Elle met egalement en evidence les besoins encore non satisfaits en la matiere, ce qui nous amene a proposer des leviers manageriaux et humains pour ce type de projets et de contextes jusqu’ici peu envisages. (VA)Within French ‘poles of competitiveness’, partnering innovation projects gather professionals from small business, large companies and public laboratories belonging to the same territory. How are those innovation projects managed when the actors are so different? How are coordination and cooperation achieved in this particular context? This article proposes a conceptual frame based on networks and collaborative project management. Two projects are analyzed, belonging to the same cluster. They indicate the variety of situations and management practices, and help to point out the necessity to mobilize
Effects of Different Periodization Models on Rate of Force Development and Power Ability of the Upper Extremity

Hartmann, H, Bob, A, Wirth, K, and Schmidtbleicher, D. Effects of different periodization models on rate of force development and power ability of the upper extremity. J Strength Cond Res 23(7): 1921-1932, 2009-The purpose of our study was to compare the effects of 2 different periodization models on strength and power variables under dynamic and static conditions in the bench press. Participants of the experimental groups were male sport students experienced in weight training (age: 23.98 ± 3.14 yr). Subjects were tested for the 1 repetition maximum (1RM) in the bench press, maximal movement velocity (Vmax) in the bench press throw (16.9 kg), maximal voluntary contraction (MVC), and maximal rate of force development (MRFD) in 90° elbow and shoulder angle in the isometric bench press. According to their 1RM, subjects were parallelized and assigned to 1 of either 2 training groups: strength-power periodization (SPP, n = 13) or daily undulating periodization (DUP, n = 14). Subjects trained for 14 weeks, 3 days per week. In the strength-power sessions, both groups were instructed to lift the weight as explosively as possible. In addition, a control group (n = 13) was used for comparison. One repetition maximum and Vmax improved significantly through training (p ≤ 0.05), with no significant changes in MVC and MRFD. Experimental groups showed no significant group differences in any variable. The results indicate that, in short-term training using previously trained subjects, no differences in 1RM and power are seen between DUP and SPP. As used in our undulating regime, additional training in strength endurance could lead to exhaustion effects and furthermore does not provide an adequate training stimulus for power because of its low training intensity. In spite of this, according to the present findings, it has no negative effect on the application of a neural stimulus that is needed for a strength-power session if adequate regeneration time between workouts is guaranteed.
Introduction Community Informatics : Enabling Community Uses of Information and Communications Technology

Copyright © 2000, Idea Group Publishing. There is an emerging need for all sectors of society to find ways to optimize the opportunities which Information and Communications Technologies present. Research and development work in Information Systems and Information Technology has accepted a model of computing where the individual interacts directly with the computer and, through the computer and communication systems, with other individuals. Thus the objective of IT research and development has been to continuously enhance and extend the capabilities of individuals within the context of the corporations, organizations, and governments for which they work. However, ICT also can be used to support c mmunities in their efforts for social and economic development. Community Informatics is a technology strategy or discipline which links economic and social development efforts at the community level with emerging opportunities in such areas as electronic commerce, community and civic networks and Telecentres, electronic democracy and on-line participation, self-help and virtual health communities, advocacy, cultural enhancement, and others.
Capacity Bounds and Concatenated Codes over Segmented Deletion Channels

We develop an information theoretic characterization and a practical coding approach for segmented deletion channels. Compared to channels with independent and identically distributed (i.i.d.) deletions, where each bit is independently deleted with an equal probability, the segmentation assumption imposes certain constraints, i.e., in a block of bits of a certain length, only a limited number of deletions are allowed to occur. This channel model has recently been proposed and motivated by the fact that for practical systems, when a deletion error occurs, it is more likely that the next one will not appear very soon. We first argue that such channels are information stable, hence their channel capacity exists. Then, we introduce several upper and lower bounds with two different methods in an attempt to understand the channel capacity behavior. The first scheme utilizes certain information provided to the transmitter and/or receiver while the second one explores the asymptotic behavior of the bounds when the average bit deletion rate is small. In the second part of the paper, we consider a practical channel coding approach over a segmented deletion channel. Specifically, we utilize outer LDPC codes concatenated with inner marker codes, and develop suitable channel detection algorithms for this scenario. Different maximum-a-posteriori (MAP) based channel synchronization algorithms operating at the bit and symbol levels are introduced, and specific LDPC code designs are explored. Simulation results clearly indicate the advantages of the proposed approach. In particular, for the entire range of deletion probabilities less than unity, our scheme offers a significantly larger transmission rate compared to the other existing solutions in the literature.
Prevalence of Sudden Speechlessness in Critical Care Units

Sudden speechlessness (SS) is commonly experienced by patients admitted to critical care units. Although literature findings document challenges associated with periods of SS, the prevalence is unknown. The purpose of this study is to determine the prevalence and characteristics of adult SS patients in four critical care units at a university-affiliated tertiary care hospital. Data are collected on 9 randomly selected days over a 4-month period. The daily prevalence of SS ranges from 16% to 24% in each unit. Characteristic data collected includes patient age, gender, medical diagnosis related to SS episode, type of speechlessness, days since SS began, and communication strategies in use. Respiratory intubation related to various clinical diagnoses is the main cause for SS. Use of multiple specific strategies to convey needs during SS periods are identified. Follow-up studies to further define the prevalence of SS in settings beyond the critical care environment are recommended.
Deregulating Direct‐to‐Consumer Marketing of Prescription Drugs: Effects on Prescription and Over‐the‐Counter Product Sales*

This paper examines the impact and interrelationships between direct‐to‐consumer (DTC) and physician‐oriented marketing on the sales composition of the prescription (Rx) and over‐the‐counter (OTC) versions of antiulcer and heartburn medications. To understand better the implications for competition of the 1997 Food and Drug Administration’s policies regarding DTC marketing, as well as recent Rx‐to‐OTC switch approvals, we also examine the relationship between order‐of‐entry effects and marketing intensities. We find spillover effects of marketing for Rx drugs on same‐brand OTC versions of the drugs. We also find that the ratio of cumulative marketing intensity (cumulative marketing efforts divided by cumulative sales) in the OTC segment increases monotonically with order of entry. Our regression results show that various marketing demand elasticities depend on order of entry. Our findings document the importance of nonprice competition in the OTC drug market and suggest that the recent deregulation of Rx DTC marketing enhances rivalry and facilitates competition.
Complications from Surgeries Related to Ovarian Cancer Screening

The aim of this study was to evaluate complications of surgical intervention for participants in the Kentucky Ovarian Cancer Screening Program and compare results to those of the Prostate, Lung, Colorectal and Ovarian Cancer Screening trial. A retrospective database review included 657 patients who underwent surgery for a positive screen in the Kentucky Ovarian Cancer Screening Program from 1988–2014. Data were abstracted from operative reports, discharge summaries, and office notes for 406 patients. Another 142 patients with incomplete records were interviewed by phone. Complete information was available for 548 patients. Complications were graded using the Clavien–Dindo (C–D) Classification of Surgical Complications and considered minor if assigned Grade I (any deviation from normal course, minor medications) or Grade II (other pharmacological treatment, blood transfusion). C–D Grade III complications (those requiring surgical, endoscopic, or radiologic intervention) and C–D Grade IV complications (those which are life threatening) were considered “major”. Statistical analysis was performed using SAS 9.4 software. Complications were documented in 54/548 (10%) subjects. For women with malignancy, 17/90 (19%) had complications compared to 37/458 (8%) with benign pathology (p < 0.003). For non-cancer surgery, obesity was associated with increased complications (p = 0.0028). Fifty patients had minor complications classified as C–D Grade II or less. Three of 4 patients with Grade IV complications had malignancy (p < 0.0004). In the Prostate, Lung, Colorectal and Ovarian Cancer Screening trial, 212 women had surgery for ovarian malignancy, and 95 had at least one complication (45%). Of the 1080 women with non-cancer surgery, 163 had at least one complication (15%). Compared to the Prostate, Lung, Colorectal and Ovarian Cancer Screening trial, the Kentucky Ovarian Cancer Screening Program had significantly fewer complications from both cancer and non-cancer surgery (p < 0.0001 and p = 0.002, respectively). Complications resulting from surgery performed as a result of the Kentucky Ovarian Cancer Screening Program were infrequent and significantly fewer than reported in the Prostate, Lung, Colorectal and Ovarian Cancer Screening trial. Complications were mostly minor (93%) and were more common in cancer versus non-cancer surgery.
DISCIPLE-1: Interactive Apprentice System in Weak Theory Fields

The paper presents an interactive approach to learning apprentice systems for weak theory domains. The approach consists of a combination of teaming by analogy and learning by generalizing instances. One main point of this approach is that it uses the explanations drawn from an example, both to reduce the version space of me rules to be learned, and to generate new examples, analogous to the given one. Another important point is that it demonstrates not only that over-generalization is harmless but also useful and necessary, when interacting with a user. It allows to use the theory of the domain, though incomplete as it is, in order to extract the missing knowledge by asking "clever" questions to its user. This paper presents a first prototypical version of DISCIPLE and its use to the design of technologies for the manufacturing of loudspeakers.
Modeling targeted layered containment of an influenza pandemic in the United States

Planning a response to an outbreak of a pandemic strain of influenza is a high public health priority. Three research groups using different individual-based, stochastic simulation models have examined the consequences of intervention strategies chosen in consultation with U.S. public health workers. The first goal is to simulate the effectiveness of a set of potentially feasible intervention strategies. Combinations called targeted layered containment (TLC) of influenza antiviral treatment and prophylaxis and nonpharmaceutical interventions of quarantine, isolation, school closure, community social distancing, and workplace social distancing are considered. The second goal is to examine the robustness of the results to model assumptions. The comparisons focus on a pandemic outbreak in a population similar to that of Chicago, with ≈8.6 million people. The simulations suggest that at the expected transmissibility of a pandemic strain, timely implementation of a combination of targeted household antiviral prophylaxis, and social distancing measures could substantially lower the illness attack rate before a highly efficacious vaccine could become available. Timely initiation of measures and school closure play important roles. Because of the current lack of data on which to base such models, further field research is recommended to learn more about the sources of transmission and the effectiveness of social distancing measures in reducing influenza transmission.
The neural network speed controller based on Fuzzy PI for direct torque control

To increase traditional direct torque control (DTC) of induction motor control precision and decrease large torque ripple, a Fuzzy PI speed controller was proposed. On the basis of conventional PI regulator, a Fuzzy PI speed controller was designed according to speed error and its rate of change, which could adjust the proportional coefficient kp and integral coefficient ki dynamically to adapt the speed variations. A new strategy of feed forward neural network(NN), which replaces the Fuzzy PI speed controller is also proposed and applied to DTC system. Meanwhile, a backward propagation (BP) algorithm was used to train the network. The comparison with conventional PI speed controller shows that the proposed method reduce the flux, speed and torque ripples. The validity of the proposed method is verified by the simulation results.
Selecting the flux reference for induction machine drives in the field weakening region

In a conventional rotor flux oriented induction motor drive, the flux reference is usually made proportional to the inverse of the rotor speed for field weakening operation. The authors indicate, however, that such a variation cannot maintain optimal (maximum) torque capability maintain optimal (maximum) torque capability of the machine over the entire speed range. It is further shown that nearly optimal torque capability can be achieved in a stator flux oriented system when the stator flux reference is varied as the inverse of the rotor speed. <<ETX>>
The NADPH Oxidase Subunit NOX4 Is a New Target Gene of the Hypoxia-inducible Factor-1

NADPH oxidases generate reactive oxygen species (ROS). We studied the role of NOX4 under hypoxia. Hypoxia enhanced NOX4 expression in lung smooth-muscle cells and lung tissue due to HIF-1α binding and activation of the NOX4 promoter. HIF-1α–dependent NOX4 induction restored ROS levels after hypoxia and induced proliferation by hypoxia. The following citations were not referenced in the reference list or the reference/citation is not styled correctly: Kietzmann et al., 1999.
Computing the Inner Distances of Volumetric Models for Articulated Shape Description with a Visibility Graph

A new visibility graph-based algorithm is presented for computing the inner distances of a 3D shape represented by a volumetric model. The inner distance is defined as the length of the shortest path between landmark points within the shape. The inner distance is robust to articulation and can reflect the deformation of a shape structure well without an explicit decomposition. Our method is based on the visibility graph approach. To check the visibility between pairwise points, we propose a novel, fast, and robust visibility checking algorithm based on a clustering technique which operates directly on the volumetric model without any surface reconstruction procedure, where an octree is used for accelerating the computation. The inner distance can be used as a replacement for other distance measures to build a more accurate description for complex shapes, especially for those with articulated parts. The binary executable program for the Windows platform is available from https://engineering.purdue. edu/PRECISE/VMID.
Who exactly is trying to help us? The ethos of help systems in popular computer applications

The help systems of computer applications attempt to provide useful and usable information within the very specific context of a user’s lack of adeptness at a particular task or lack of familiarity with a particular concept. Of course, this is similar to most information-providing systems, except for one fundamental difference: the help system is usually a last resort, something that users try to avoid rather than willingly employ. The help system, in fact, typically becomes noticed only when users cannot otherwise proceed, and most of the information in a help system is never consulted at all. In other words, the help system carries with it a set of essentially negative connotations, even to the degree that interface designers, in the past, have suggested that a perfectly designed interface would render the help system unnecessary and even worthless. In many cases, users have agreed about the worthlessness of help systems, but not at their lack of necessity, because interfaces remain, from the popular perspective at least, relatively and surprisingly weak.
Line and Ligature Segmentation of Urdu Nastaleeq Text

The recognition accuracy of ligature-based Urdu language optical character recognition (OCR) systems highly depends on the accuracy of segmentation that converts Urdu text into lines and ligatures. In general, lines and ligatures-based Urdu language OCRs are more successful as compared to characters-based. This paper presents the techniques for segmenting Urdu Nastaleeq text images into lines and subsequently to ligatures. Classical horizontal projection-based segmentation method is augmented with a curved-line-split algorithm for successfully overcoming the problems, such as text line split position, overlapping, merged ligatures, and ligatures crossing line split positions. Ligature segmentation algorithm extracts connected components from text lines, categorizes them into primary and secondary classes, and allocates secondary components to the primary class by examining width, height, coordinates, overlapping, centroids, and baseline information. The proposed line segmentation algorithm is tested on 47 pages with 99.17% accuracy. The proposed ligature segmentation algorithm is mainly tested on a large Urdu-printed text images data set. The proposed algorithm segmented Urdu-printed text images data set to 189 000 ligatures from 10 063 text lines having 332 000 connected components. A total of about 142 000 secondary components have been successfully allocated to more than 189 000 primary ligatures with accuracy rate of 99.80%. Thus, both of the proposed segmentation algorithms outperform the existing algorithms employed for Urdu Nastaleeq text segmentation. Moreover, the proposed line segmentation algorithm is also tested on Arabic, for which it also extracted lines correctly.
ALCOHOL BINGE DRINKING-1-DOES ALCOHOL BINGE DRINKING AFFECT LIVER FUNCTIONS ?

Alcohol is the most commonly abused substance worldwide. While alcohol abuse causes damage to several organ systems including the gastrointestinal, immune, circulatory and reproductive systems, the dynamics and mechanisms of alcohol-induced injury are largely unknown. Since any chronic abuse starts with repeated single alcohol binges, it was hypothesized that binge (acute) alcohol abuse would damage the liver. It was further hypothesized that alcohol-induced liver damage could be dependent on TNFα, a potent pro-inflammatory cytokine. The experiment aimed to identify a) the relationship between the quantity/frequency of alcohol intake and liver damage, and b) the mechanisms of acute alcoholinduced liver injury. TNFR knockout mice which lack receptors for TNFα were used as a control because TNFα’s known role in apoptosis. Wild-type (wt) and TNFR KO mice were fed alcohol (or caloric/volumetric sugar equivalent), followed by intraperitoneal lipopolysaccharide (LPS) or saline control injection. Alcohol elevated the serum ALT, a marker indicative of liver damage, in a time dependent fashion; liver damage was similar after one binge compared to repeated binges. Twenty-four hours were sufficient for the liver to recover from damage, independent of the number of binges. Further, alcohol exacerbated LPS-induced ALT elevation and triggered liver lipid accumulation. In contrast to wt animals, the TNFR KO mice were protected against increased serum ALT and liver steatosis. LPS triggered comparable levels of serum TNFα in both wt and TNFR KO animals; alcohol inhibited this process in all animals. It was demonstrated that acute alcohol abuse caused liver damage, initiated steatosis and exacerbated LPS-induced liver damage. Further, alcohol impaired LPS-induced TNFα production; the effects of alcohol on liver seemed to be TNF-receptor dependent.
Evil Pickles: DoS Attacks Based on Object-Graph Engineering (Artifact)

This artefact demonstrates the effects of the serialisation vulnerabilities described in the companion paper. It is composed of three components: scripts, including source code, for Java, Ruby and C# serialisation-vulnerabilities, two case studies that demonstrate attacks based on the vulnerabilities, and a contracts-based mitigation strategy for serialisation-based attacks on Java applications. The artefact allows users to witness how the serialisation-based vulnerabilities result in behavior that can be used in security attacks. It also supports the repeatability of the case study experiments and the benchmark for the mitigation measures proposed in the paper. Instructions for running the tasks are provided along with a description of the artefact setup.
Familial risk factors for adolescent suicide: a case‐control study

Sixty‐seven adolescent suicide victims and 67 demographically matched living controls were compared as to family constellation, familial stressors and familial loading for psychopathology. Suicide victims were less likely to have lived with both biological parents, were more likely to be exposed to stressors such as parent‐child discord, physical abuse and residential instability and showed greater familial loading for depression and substance abuse. Multivariate analyses showed that family history of both depression and substance abuse and lifetime history of parent‐child discord were most closely associated with adolescent suicide. Children who are the offspring of parents with depression or substance abuse should be psychiatrically screened. Family interventions to decrease discord may also be helpful in decreasing the risk of adolescent suicide.