Miracle-dz/UniFAR-FTUs huggingface dataset:
Méthodologies de synthèse de réseaux de neurones pour applications de traitement de signal adaptatif et implémentation sur circuits reconfigurables dynamiquement

Les progres dans les techniques de conception et dans la technologie des semi-conducteurs ont permis l'integration de systemes embarques de complexite croissante sur une puce, les systemes sur puce (System on Chip - SOC). Les piliers de la strategie adoptee pour atteindre ce resultat sont les suivants: (1) la reutilisation de composants (IP), (2) l'utilisation de plateformes, (3) l'abstraction. L'ensemble de ces techniques permet de concevoir des systemes complets pouvant repondre aux besoins d'applications complexes et deterministes. Cette situation change si les applications visees sont diverses dans leur comportement a l'execution en termes d'utilisation de ressources et si de plus chaque application elle meme presente un caractere variable a l'execution. Cette variabilite de la charge de travail va a l'encontre des methodologies actuelles qui considerent que toutes les informations relatives aux applications sont connues de maniere statique et que donc toutes les decisions de partitionnement logiciel-materiel, et d'allocation de ressources ainsi que d'ordonnancement le sont aussi. Dans cette these nous proposons une nouvelle approche pour la conception de systemes sur puce avec charge variable. Le probleme est pose comme un probleme de controle adaptatif avec predicteur dynamique de charge de travail. La premiere partie de la these se focalise sur l'extraction automatique des differentes caracteristiques qui favorisent l'introduction d'un aspect adaptatif dans l'architecture d'une application et la resolution du probleme de la prediction de grandes series de temps resultant de la capture de la variabilite de charge. Nous presentons les reseaux de neurones recurrents connus comme des approximateurs universels capables de modeliser un phenomene dynamique non lineaire et les appliquons a la prediction dynamique de charge dans les Systemes sur Puce. Les aspects theoriques fondamentaux ayant ete fixes dans la deuxieme partie de la these nous evaluons le cout en surface de l'implementation d'un predicteur par une exploration automatique multiobjective puis evaluons ses performances dans une plateforme SOC modelisee en SystemC TLM. Ces travaux ont ete valides sur une application industrielle multimedia JPEG-2000. Il en decoule un traitement adaptatif en nombre de ressources resultant en une meilleure efficacite de l'utilisation du circuit et une meilleure performance comparee a une architecture fixe.
Proficiency Estimation by Motion Variability obtained from Single Camera Input

This paper proposes a motor learning assist system that estimates the proficiency of trainees in making sports motions on the basis of variability of his/her own 3D motions in trials captured by a single camera. Most existing systems assume that a sequence of human poses must be obtained by multiple calibrated cameras or a marker-based motion capture system. Such systems can be effectively used by professional athletes or broadcast station personnel who specialize in sports, but not by casual sports fans who have no particular athletic skills. We propose a method for evaluating proficiency on the basis of obtained for trainees in repeated trials. Usable by not only elite athletes but also casual sports fans, the method has two important features. First, it requires only a freely positionable single camera since its 3D pose estimation methodology is independent of camera position. Second, it estimates proficiency only from a trainee’s own motions and thus does not require any reference movements. In this paper, the golf swing is used as the target of motor learning. Experiment results show that variability in 3D motion in trials is inversely proportional to the test subjects’ degree of proficiency.
Improving the Quality of Transitional Care for Persons with Complex Care Needs

Background For the purpose of this position statement, transitional care is defined as a set of actions designed to ensure the coordination and continuity of healthcare as patients transfer between different locations or different levels of care within the same location. Representative locations include (but are not limited to) hospitals, subacute and postacute nursing facilities, the patient’s home, primary and specialty care offices, and assisted living and long-term care facilities. Ideally, transitional care is based on a comprehensive plan of care and the availability of healthcare practitioners who are well trained in chronic care and have current information about the patient’s goals, preferences, and clinical status. It should include logistical arrangements, education of the patient and family, and coordination among the health professionals involved in the transition. Transitional care, which encompasses the sending and the receiving aspects of the transfer, is essential for persons with complex care needs and their caregivers. Persons whose conditions require complex, continuous care frequently require services from different practitioners in multiple settings, but practitioners in each setting often operate independently, without knowledge of the problems addressed, services provided, information obtained, medications prescribed, or preferences expressed in previous settings. 1 The growing national trend for physicians and other clinicians to restrict their practices to single settings (e.g., hospitals, skilled nursing facilities, or ambulatory clinics) and not to follow complex patients as they move between settings heightens this potential for fragmentation of care. 2,3 During transitions, these patients are at risk for medical errors, service duplication, inappropriate care, and critical elements of the care plan “falling through the cracks. ” 1,4,5 Ultimately, poorly executed care transitions may lead to poor clinical outcomes; dissatisfaction among patients; and inappropriate use of hospital, emergency, postacute, and ambulatory services. 1,6,7
Real time welding parameter prediction for desired character performance

In arc welding processes, real time control algorithms have to be developed in order to achieve desired weld quality. However, there could exist big uncertainties and noise in the process, which nullifies the conventional online control method. Besides, due to the modelling difficulty and low experimental efficiency, this task is usually performed offline. In this paper, a real time parameter optimization method is developed to find the optimal welding parameters to achieve desired characteristic performance. Gaussian Process Regression (GPR), a non-parametric modelling technique, is employed to model the relationship between input welding parameters and output characteristic performance. The GPR surrogated Bayesian Optimization Algorithm (GPRBOA) is proposed to optimize the welding parameters. Lower Confidence Bound (LCB) and Upper Confidence Bound (UCB) acquisition functions are utilized. Gas tungsten arc welding experiments were performed and the corresponding experimental data are collected and utilized to validate the proposed modelling method. The predicted characteristic performance is compared with the original data and it shows that the modelling method can accurately predict the weld bead geometry. The control algorithms were demonstrated and the results are presented. This paper opens a door for real time parameter tuning to achieve desired performance, hence the proposed method will innovate the arc welding process.
Comparison of Diamond's medium modified and Kupferberg medium for detection of Trichomonas vaginalis

Diamond's medium modified, the commercially available version of the Klaas modification of Diamond's medium, was compared to Kupferberg medium and to direct wet-mount examination for detection of trichomonads in symptomatic patients. Diamond's medium was found to be superior to both Kupferberg medium (P less than 10(-4) and wet mount (P less than 10(-6].
Evaluation of the Minitek gram-positive set for identification of staphylococci isolated from the bovine mammary gland

The Minitek Gram-Positive Set was evaluated as a means of identifying staphylococci isolated from bovine mammary glands. Initial accuracy was 79.2%. Misidentification of isolates due to data base deficiencies resulted with the animal-associated species Staphylococcus intermedius and S. hyicus. Minor modification to account for data base deficiencies permitted recognition of 87.7% of the isolates. Incorporation of additional veterinary isolates into the data base would improve the accuracy of the Minitek system and enhance acceptance by veterinary microbiologists.
Effects of oxygen containing groups on barrier layer on the stability of silver nanowire transparent electrodes

Silver nanowire (AgNW) has showed strong potential as a great alternative to indium tin oxide (ITO) film in the fabrication of transparent conductive electrode (TCE) and it especially satisfies the requirements of flexible and printable electronics. To relieve the corrosion of bare AgNWs and improve the long-term stability of AgNW-based electrodes, using barrier layer to encapsulate and overcoat of the surface of AgNWs has been proposed as one powerful solution. Reduced graphene oxide (rGO) film is used as a barrier layer extensively in the fabrication of AgNW-based electrodes. Considering the difficulty of entirely removing the oxygen containing groups (OCGs) on GO film to form rGO film, there is a lack of information about the effect of OCGs on barrier layer on the stability of AgNW-based network. Therefore, we decided to study the corrosion of AgNW network overcoated with GO film, on which contained different amounts of OCGs. Two kinds of AgNW-based electrodes, graphene oxide (GO) /AgNW/polyethylene terephthalate (PET) TCEs and rGO/AgNW/PET TCEs, were fabricated by a rapid and facile flame treatment and exposed to ambient conditions. The structural and performance changes were monitored with exposed time. Our results demonstrated that AgNWs are susceptible to the barrier layers.
Recherche de gluons scalaires avec le détecteur ATLAS auprès du LHC

Cette these decrit la recherche de nouvelles particules scalaires octets de couleur dans les donnees de l'experience ATLAS aupres du Grand Collisionneur de Hadrons (LHC). Pour une large gamme de masse, la desintegration de ces scalaires en deux partons du MS domine. Cela motive la recherche de ces nouveaux scalaires dans des etats finaux multijet, ou ils se signaleraient comme des resonances dijet. Comme les nouveaux scalaires sont produits par paires, un etat final contenant au moins quatre jets est utilise comme environnement de recherche. Une methode est developpee pour extraire une possible resonance multijet scalaire du grand fond QCD et est utilisee pour chercher de tels scalaires dans les donnees de l'experience ATLAS collectees en 2010 et 2011. Les donnees sont en accord avec l'estimation du fond et des limites sont posees sur la section efficace de production des scalaires en fonction de leur masse. En interpretant ces limites dans des modeles de supersymetrie, le gluon scalaire du MRSSM et du modele hybride N=1/N=2 est exclu a 95 % CL entre 100 et 287 GeV. Les limites sont aussi interpretees dans un modele de symetrie de jauge a la QCD, ou le sgluon est remplace par l'hyperpion qui est exclu dans une gamme de masse legerement plus restreinte de part sa section efficace plus faible.
Antimicrobial tolerance and the significance of persister cells in recalcitrant chronic wound biofilms

The application of antimicrobials in the management of wounds is a complex procedure requiring appropriate clinical decision making, judgment and a thorough understanding of antimicrobial therapies, together with their potential disadvantages. There is considerable direct and indirect evidence for the presence of bacterial biofilms in the chronic wound bed, and it has been demonstrated that bacteria within these biofilms may exhibit both specific and nonspecific antimicrobial tolerance. The antimicrobial tolerance of biofilms is a major concern in the treatment of both infected and nonhealing chronic wounds and an understanding of the mechanisms involved is of fundamental importance in managing wound infections and developing future wound management strategies. The aim of this review is therefore to provide an overview of our current understanding of the mechanisms by which bacteria in wound biofilms can resist conventional antibiotic and antibacterial therapies which is very important to wound healing.
Use of chemotaxis chambers for studying in vitro bacterial colonization of biomaterials

Blind-well chemotaxis chambers were used to study the in vitro bacterial adhesion and colonization of biomaterials. Staphylococcus aureus and Pseudomonas aeruginosa were selected for the bacterial inocula. Abundant growth on the surfaces of methyl methacrylate, polyethylene, stainless steel, and Vitallium was detected by using scanning electron microscopy after 24 h of incubation. The culture technique employed proved to be of value for the study of surface bacterial colonization of inert materials.
Wittgenstein’s Augustinian Cosmogony in Zettel 608

Most commentators see Wittgenstein’s Zettel 608 as suggesting that language and thought might arise out of chaos at the neural center—but this contradicts Wittgenstein’s signature view that philosophers must not advance theories. Following Wittgenstein’s remark to Drury that he cannot help looking at problems from a religious point of view, the paper argues that Zettel 608 employs religious creation language of the sort found in Augustine to suggest a new paradigm in the philosophies of language and mind—that language and thought arise, not out of neural processes, but out of the “chaos” of actions at the center of human forms of life.
Risk of incident diabetes with intensive-dose compared with moderate-dose statin therapy: a meta-analysis.

CONTEXT A recent meta-analysis demonstrated that statin therapy is associated with excess risk of developing diabetes mellitus. OBJECTIVE To investigate whether intensive-dose statin therapy is associated with increased risk of new-onset diabetes compared with moderate-dose statin therapy. DATA SOURCES We identified relevant trials in a literature search of MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials (January 1, 1996, through March 31, 2011). Unpublished data were obtained from investigators. STUDY SELECTION We included randomized controlled end-point trials that compared intensive-dose statin therapy with moderate-dose statin therapy and included more than 1000 participants who were followed up for more than 1 year. DATA EXTRACTION Tabular data provided for each trial described baseline characteristics and numbers of participants developing diabetes and experiencing major cardiovascular events (cardiovascular death, nonfatal myocardial infarction or stroke, coronary revascularization). We calculated trial-specific odds ratios (ORs) for new-onset diabetes and major cardiovascular events and combined these using random-effects model meta-analysis. Between-study heterogeneity was assessed using the I(2) statistic. RESULTS In 5 statin trials with 32,752 participants without diabetes at baseline, 2749 developed diabetes (1449 assigned intensive-dose therapy, 1300 assigned moderate-dose therapy, representing 2.0 additional cases in the intensive-dose group per 1000 patient-years) and 6684 experienced cardiovascular events (3134 and 3550, respectively, representing 6.5 fewer cases in the intensive-dose group per 1000 patient-years) over a weighted mean (SD) follow-up of 4.9 (1.9) years. Odds ratios were 1.12 (95% confidence interval [CI], 1.04-1.22; I(2) = 0%) for new-onset diabetes and 0.84 (95% CI, 0.75-0.94; I(2) = 74%) for cardiovascular events for participants receiving intensive therapy compared with moderate-dose therapy. As compared with moderate-dose statin therapy, the number needed to harm per year for intensive-dose statin therapy was 498 for new-onset diabetes while the number needed to treat per year for intensive-dose statin therapy was 155 for cardiovascular events. CONCLUSION In a pooled analysis of data from 5 statin trials, intensive-dose statin therapy was associated with an increased risk of new-onset diabetes compared with moderate-dose statin therapy.
Anti-cancer activity of anti-GLUT1 antibody-targeted polymeric micelles co-loaded with curcumin and doxorubicin

Abstract Background: Treatment of late stage cancers has proven to be a very difficult task. Targeted therapy and combinatory drug administration may be the solution. Purpose: The study was performed to evaluate the therapeutic efficacy of PEG-PE micelles, co-loaded with curcumin (CUR) and doxorubicin (DOX), and targeted with anti-GLUT1 antibody (GLUT1) against HCT-116 human colorectal adenocarcinoma cells both in vitro and in vivo. Methods: HCT-116 cells were treated with non-targeted and GLUT1-targeted CUR and DOX micelles as a single agent or in combination. Cells were inoculated in female nude mice. Established tumors were treated with the micellar formulations at a dose of 4 mg/kg CUR and 0.4 mg/kg DOX every 2 d for a total of 7 injections. Results: CUR + DOX-loaded micelles decorated with GLUT1 had a robust killing effect even at low doses of DOX in vitro. At the doses chosen, non-targeted CUR and CUR + DOX micelles did not exhibit any significant tumor inhibition versus control. However, GLUT1-CUR and GLUT1-CUR + DOX micelles showed a significant tumor inhibition effect with an improvement in survival. Conclusion: We showed a dramatic improvement in efficacy between the non-targeted and GLUT1-targeted formulations both in vitro and in vivo. Hence, we confirmed that GLUT1-CUR + DOX micelles are effective and deserve further investigation.
Spironolactone, but not flutamide, administration prevents bone loss in hyperandrogenic women treated with gonadotropin-releasing hormone agonist.

GnRH agonists (GnRHa) have recently been proposed for the treatment of hirsutism in women with the polycystic ovary syndrome (PCOS). As most of these subjects have increased androgen secretion from both ovaries and adrenal glands, the association of GnRHa with antiandrogen drugs might enhance the clinical response to treatment. On the other hand, this association might also potentiate the adverse effects of GnRHa on bone metabolism, generating a potentially harmful situation at the skeletal level. In this study we investigated in 41 PCOS patients the skeletal effects of a 6-month course of GnRHa (tryptorelin, 3.75 mg, i.m., monthly), either alone (n = 12) or associated with the antiandrogen drugs spironolactone (100 mg, orally, once daily; n = 14) or flutamide (250 mg, once daily; n = 15). In all subjects bone mineral density was measured before and after treatment by dual energy x-ray absorptiometry at the lumbar spine (L2-L4) and at the femoral neck and Ward's triangle. In addition, at baseline and after 6 months of therapy, bone metabolism markers (serum and urinary calcium, serum phosphorus and alkaline phosphatase, plasma osteocalcin, and urinary hydroxyproline) and endocrine parameters (serum gonadotropins, estradiol, and free testosterone) were assayed. Women given either GnRHa alone or associated with spironolactone or flutamide were similar for age and body mass index. At baseline, the 3 groups of PCOS women were also similar for endocrine and bone parameters. After 6 months, all treatments determined similar striking suppressions of serum gonadotropins and sex steroids. Concurrently, bone mineral density was significantly reduced at all examined sites in subjects receiving either GnRHa alone or GnRHa plus flutamide. Conversely, women given GnRHa plus spironolactone did not show any change in skeletal mass from baseline values (P < 0.05-0.01 among groups). Biochemical parameters of bone metabolism were consistent with densitometric assessments. In conclusion, after a 6-month course of therapy, bone mineral density is reduced in PCOS women given either GnRHa alone or GnRHa plus flutamide, but not in those receiving GnRHa plus spironolactone. The mechanisms of the bone-sparing effect of spironolactone remain to be determined. Nevertheless, this drug could represent a useful tool to prevent skeletal loss in women given GnRHa as well as in other hypoestrogenic conditions, in particular when estrogens are not recommended.
Three types of outflow dynamics on square and triangular lattices and universal scaling.

In this paper we propose a generalization of the one-dimensional outflow dynamics (KD). The rule is introduced as a simplification of Galam dynamics (GD) proposed in an earlier paper. We simulate three types of outflow dynamics, GD, Stauffer dynamics, and KD, both on the square and triangular lattices and show whether the outflow dynamics is sensitive to the lattice structure. Moreover, we took into account several types of initial configuration -- random, "stripes," and "circle. " We investigate the dependence between the mean relaxation time and the initial density p of up-spins for each type of initial conditions, as well as dependence between the mean relaxation time and the size of the system. As a result, we show differences and similarities between three types of the outflow dynamics.
Preference learning on the execution of collaborative human-robot tasks

We present a novel method to learn human preferences during, and for, the execution of concurrent joint humanrobot tasks. We consider tasks realized by a team of a human operator and a robot helper that should adapt to the human's task execution preferences. Different human operators can have different abilities, experiences, and personal preferences, so that a particular allocation of activities in the team is preferred over another. We cast the behavior of concurrent multi-agent cooperation as a semi Markov Decision Process and show how to model and learn human preferences over the team behavior. After proposing two different interactive learning algorithms, we evaluate them and show that the system can effectively learn and adapt to human preferences.
Ureaplasma urealyticum Induces Apoptosis in Human Lung Epithelial Cells and Macrophages

Chronic lung disease (CLD) of prematurity remains a significant cause of morbidity among premature infants. It is a multifactorial disorder and characterized by an early increased number of neutrophils and alveolar macrophages, with later architectural epithelial and endothelial cell damage. Recently, apoptosis of type 2 pneumocytes in the lung of preterm neonates with acute and chronic lung disease has been examined and apoptosis of mesenchymal cells was detected in the chronic stage of bronchopulmonary dysplasia. Infection and inflammatory responses in the lungs play important roles. However, the contribution of Ureaplasma urealyticum to the development of CLD is debated. We found that U. urealyticum induced apoptosis in human type II lung epithelial cells (A549 cell line) and macrophages (derived from human monocytic cell line THP-1) by measuring the outer leaflets translocation of phosphatidylserine (flow cytometry analysis and fluorescence microscopy assessment), DNA fragmentation analysis, cell morphology changes such as diminution in cell volume, increased cytoplasmic staining, and nuclear pyknosis (hematoxylin and eosin staining) and viable counting (trypan blue exclusion). Anti-TNF-α monoclonal antibody partially protected the macrophages from undergoing apoptosis after infection with U. urealyticum. Our findings imply that U. urealyticum might be involved in impairing lung structure and host immune response during the development of CLD.