Miracle-dz/UniFAR-FTUs huggingface dataset:
Evidence supporting an intentional Neandertal burial at La Chapelle-aux-Saints

Center for International Research in the Humanities and Social Sciences, Unité Mixte Internationale 3199, Centre National de la Recherche Scientifique (CNRS)–New York University, New York, NY 10003; Travaux et Recherches Archéologiques sur les Cultures, les Espaces et les Sociétés, Unité Mixte de Recherche (UMR) 5608, CNRS, Université Toulouse Le Mirail, F-31058 Toulouse Cedex 9, France; Archéosphère, F-33300 Bordeaux, France; de la Préhistoire à l’Actuel: Culture, Environnement et Anthropologie, UMR 5199, Ministère de la Culture et de la Communication (MCC), CNRS, Université de Bordeaux, F-33400 Talence, France; Département de Préhistoire du Muséum National d’Histoire Naturelle, Équipe de Paléontologie Humaine, UMR 7194 du CNRS, F-75013 Paris, France; Direction régionale des Affaires culturelles du Limousin–Service Régional de l’Archéologie, MCC, F-87036 Limoges Cedex, France; Grand Sud-Ouest, Institut National de Recherches Archéologiques Préventives, F-24260 Campagne, France; ArsScan/AnTet, UMR 7041, CNRS, Maison Archéologie et Ethnologie (MAE), F-92023 Nanterre, France; Institut Català de Paleoecologia Humana i Evolució Social, Universitat Rovira i Virgili, E-43007 Tarragona, Spain; Département de Géographie, UMR 6266 Identité et Différenciation des Espaces, de l’Environnement et des Sociétés, Université de Rouen, F-76821 Mont Saint Aignan Cedex, France; and Musée National de Préhistoire, F-24620 Les Eyzies-de-Tayac, France
Towards On-Line Intensity-Based Surface Recovery from Monocular Images

We present a novel method for vision-based recovery of three-dimensional structures through simultaneous model reconstruction and camera position tracking from monocular images. Our approach does not rely on robust feature detecting schemes (such as SIFT, Good Features to Track etc.), but works directly on intensity values in the captured images. Thus, it is well-suited for reconstruction of surfaces that exhibit only little texture due to partial homogeneity of the surfaces.
Reconstructing PASCAL VOC

We address the problem of populating object category detection datasets with dense, per-object 3D reconstructions, bootstrapped from class labels, ground truth figure-ground segmentations and a small set of keypoint annotations. Our proposed algorithm first estimates camera viewpoint using rigid structure-from-motion, then reconstructs object shapes by optimizing over visual hull proposals guided by loose within-class shape similarity assumptions. The visual hull sampling process attempts to intersect an object's projection cone with the cones of minimal subsets of other similar objects among those pictured from certain vantage points. We show that our method is able to produce convincing per-object 3D reconstructions on one of the most challenging existing object-category detection datasets, PASCAL VOC. Our results may re-stimulate once popular geometry-oriented model-based recognition approaches.
FRICTION BETWEEN COHESIVE SOILS AND STEEL

Laboratory tests on friction between cohesive soils and mild steel were carried out using a direct simple shear type of test apparatus. The cohesive soils were normally consolidated Kawasaki clay and four kinds of normally consolidated sand-clay mixtures. All tests were carried out under consolidated drained shear condition. Frictional behaviour observed was as follows : (1) There was little difference in the maximum coefficient of friction between the tests with different mixture ratios of sand. After sliding had occurred between steel and a soil with a high clay fraction, however, the residual coefficient of friction at the applied displacement of 15 mm was much smaller than the maximum coefficient of friction. (2) The critical value of steel roughness is the boundary value whether interface sliding occurs or not. It was larger for a soil with a higher sand fraction. (3) For the friction of sand-clay mixtures with steel roughness of 20 and 30 μm Rmax over a gauge length of 0.2 mm, interface sliding and shear deformation of the soil specimen proceeded simultaneously. (4) Frictional behaviour was classified into three failure modes, namely full sliding at the interface, shear failure within the soil, and the mixed behaviour where interface sliding and shear deformation of the soil specimen proceed simultaneously.
Sampling-based algorithms for optimal motion planning using closed-loop prediction

Motion planning under differential constraints is one of the canonical problems in robotics. State-of-the-art methods evolve around kinodynamic variants of popular sampling-based algorithms, such as Rapidly-exploring Random Trees (RRTs). However, there are still challenges remaining, for example, how to include complex dynamics while guaranteeing optimality. If the open-loop dynamics are unstable, exploration by random sampling in control space becomes inefficient. We describe CL-RRT#, which leverages ideas from the RRT# algorithm and a variant of the RRT algorithm, which generates trajectories using closed-loop prediction. Planning with closed-loop prediction allows us to handle complex unstable dynamics and avoids the need to find computationally hard steering procedures. The search technique presented in the RRT# algorithm allows us to improve the solution quality by searching over alternative reference trajectories. We show the benefits of the proposed approach on an autonomous-driving scenario.
Extracorporeal membrane oxygenation for 2009 influenza A (H1N1) acute respiratory distress syndrome: single-centre experience with 1-year follow-up.

OBJECTIVES During 2009, pandemic influenza A (H1N1) affected France and several patients developed influenza A (H1N1)-associated acute respiratory distress syndrome. The use of extracorporeal membrane oxygenation (ECMO) could be advocated as therapeutic solution. We present our experience with ECMO utilized in patients with influenza A (H1N1)-associated respiratory failure. METHODS We conducted a retrospective observational analysis of our experience with veno-venous ECMO for 2009 influenza A (H1N1)-associated respiratory failure. We have excluded from our study all not confirmed cases of influenza A (H1N1). Veno-venous ECMO was always instituted using a percutaneous cannulation technique. Mechanical circulatory support was maintained until respiratory function recovery. RESULTS Between October 2009 and February 2010, we performed veno-venous ECMO support in 12 patients with influenza A (H1N1)-associated respiratory failure. Mean age was 33 ± 12 years (14-63 years) and there was a prevalence of female sex. Median time from influenza A (H1N1) onset to mechanical ventilation (MV) initiation was 6 days (1-17 days); median time from MV to veno-venous ECMO support was 3 days (1-20 days). Six patients (50%) suffered ventilator-associated pneumonia during ECMO support. Eight patients (66.6%) suffered significant haemorrhage requiring transfusion of more than 2 packed red cells. In two patients (16.6%), there was a thrombosis of the inferior vena cava and one of them experienced pulmonary embolism. Mean duration of ECMO support was 23 ± 14 days (3-47 days); mean duration of mechanical ventilatory support was 24 ± 21 days (6-70 days). ECMO was weaned in 10 patients (83.3%) and all these patients are still alive after a period of follow-up of 13.8 ± 1.12 months (11.03-14.83 months). Two patients (in-hospital mortality of 16.6%) died under ECMO support for refractory septic shock. CONCLUSIONS Veno-venous ECMO for 2009 H1N1-associated respiratory failure gives good results with a very low mortality rate. The use of a mobile unit is a safe procedure and may improve survival of patients who might not be otherwise eligible for transfer to our institution. Larger studies are however required in order to optimize and refine the best treatment strategy in this subgroup of patients.
The Gn,m Phase Transition is Not Hard for the Hamiltonian Cycle Problem

Using an improved backtrack algorithm with sophisticated pruning techniques, we revise previous observations correlating a high frequency of hard to solve Hamiltonian cycle instances with the Gn,m phase transition between Hamiltonicity and non-Hamiltonicity. Instead all tested graphs of 100 to 1500 vertices are easily solved. When we artificially restrict the degree sequence with a bounded maximum degree, although there is some increase in difficulty, the frequency of hard graphs is still low. When we consider more regular graphs based on a generalization of knight's tours, we observe frequent instances of really hard graphs, but on these the average degree is bounded by a constant. We design a set of graphs with a feature our algorithm is unable to detect and so are very hard for our algorithm, but in these we can vary the average degree from O(1) to O(n). We have so far found no class of graphs correlated with the Gn,m phase transition which asymptotically produces a high frequency of hard instances.
Productivity pattern of universities in Kerala: a scientometric analysis

The study analyses the publication pattern of faculty members of three universities in Kerala viz., University of Kerala, Mahatma Gandhi University and University of Calicut. Authorship pattern, Degree of Collaboration, the appropriateness of Lotka’s Inverse Square Law and year-wise and designation-wise distributions have been studied. The year-wise distribution of publications indicates that there is a growth in the number of publications. It is found that multi-authorship dominates among university teachers and there is no statistically significant difference between the experience and productivity. Designation-wise Degree of Collaboration shows that Professors are having a high Degree of Collaboration which indicates that increase in the age and experience results in more collaborative papers. The Lotka’s inverse square law seems to be rejected for the present data set.
Prevalence and Characterization of Methicillin-Resistant Staphylococcus aureus Isolates from Retail Meat and Humans in Georgia

ABSTRACT There is increasing interest in the presence of Staphylococcus aureus, specifically methicillin-resistant S. aureus (MRSA), on retail meat products. In this study, staphylococci were isolated from retail pork and retail beef in Georgia, and MRSA from the products was compared to human MRSA from the same geographic area using broth microdilution antimicrobial susceptibility testing, multilocus sequence typing (MLST), spa typing, SCCmec typing, and pulsed-field gel electrophoresis (PFGE). S. aureus was isolated from 45% (45/100) of pork products and 63% (63/100) of beef products; mecA was detected in S. aureus from both pork (3/100; 3%) and beef (4/100; 4%). Fifty percent (50/100) of human S. aureus also contained mecA. Multidrug resistance was detected among MRSA from all sources. All MRSA (n = 57) was SCCmec type IV, and nine different spa types were present among the isolates (t002, t008, t012, t024, t179, t337, t548, t681, and t1062). Four sequence types (ST5, ST8, ST9, and ST30) were detected using MLST; the majority of MRSA isolates belonged to ST8, followed by ST5. One retail beef MRSA isolate belonged to ST8, while the remaining three were ST5. In retail pork MRSA, ST5, ST9, and ST30 were observed. The majority of human MRSA isolates belonged to ST8. Thirty-seven MRSA isolates, one of which was a retail beef MRSA isolate, were pvl +. Using PFGE, MLST, and spa typing, three retail beef MRSA isolates were found to be identical in PFGE pattern, ST, and spa type to two human clonal MRSA isolates (USA100 and USA300). One additional retail beef MRSA isolate had a PFGE pattern similar to that of a human MRSA isolate, whereas none of the retail pork MRSA isolates had PFGE patterns similar to those of human MRSA isolates. These data suggest that the retail beef samples were contaminated by a human source, possibly during processing of the meat, and may present a source of MRSA for consumers and others who handle raw meat.
Tumor Tissue Levels of Tissue Inhibitor of Metalloproteinase-1 as a Prognostic Marker in Primary Breast Cancer

Purpose: In the present study, we investigated the association between tumor tissue levels of tissue inhibitor of metalloproteinase-1 (TIMP-1) and prognosis in patients with primary breast cancer and analyzed whether TIMP-1 may be useful as a prognostic marker in combination with urokinase plasminogen activator (uPA) and plasminogen activator inhibitor type-1 (PAI-1). Experimental Design: In cytosolic extracts of 2984 primary breast tumors, total levels of TIMP-1 were determined using an established, validated ELISA. Levels of uPA and PAI-1 have previously been determined in the extracts. Results: Univariate survival analysis showed a significant relationship between higher levels of TIMP-1 (continuous log-transformed variable) and poor prognosis [recurrence-free survival (RFS), overall survival (OS); P < 0.001]. Performing isotonic regression analysis, we identified a cut point to classify tumors as TIMP-1-low or TIMP-1-high. Using this cut point, high levels of TIMP-1 were significantly associated with shorter survival in univariate analysis, both in the total patient group (RFS, OS; P < 0.001), in the node-negative subgroup (RFS, hazard ratio = 1.28, P = 0.006), and in the node-positive subgroup (RFS, hazard ratio = 1.43, P < 0.001). In multivariate analysis, including uPA and PAI-1, TIMP-1 was significantly associated with shorter RFS, both when included as a continuous log-transformed (P = 0.03) and as a dichotomized variable (P = 0.002). Conclusions: This study validates previous findings that tumor tissue levels of TIMP-1 are associated with prognosis in patients with primary breast cancer. It confirms that TIMP-1 may be useful as a prognostic marker in combination with uPA/PAI-1 and adds substantial positive information on the use of TIMP-1 as a prognostic marker in breast cancer.
Difficulties in applying numerical simulations to an evaluation of occupational hazards caused by electromagnetic fields

Due to the various physical mechanisms of interaction between a worker's body and the electromagnetic field at various frequencies, the principles of numerical simulations have been discussed for three areas of worker exposure: to low frequency magnetic field, to low and intermediate frequency electric field and to radiofrequency electromagnetic field. This paper presents the identified difficulties in applying numerical simulations to evaluate physical estimators of direct and indirect effects of exposure to electromagnetic fields at various frequencies. Exposure of workers operating a plastic sealer have been taken as an example scenario of electromagnetic field exposure at the workplace for discussion of those difficulties in applying numerical simulations. The following difficulties in reliable numerical simulations of workers’ exposure to the electromagnetic field have been considered: workers’ body models (posture, dimensions, shape and grounding conditions), working environment models (objects most influencing electromagnetic field distribution) and an analysis of parameters for which exposure limitations are specified in international guidelines and standards.
High-resolution optical spectroscopy of Praesepe white dwarfs

We present the results of a high-resolution optical spectroscopic study of nine white dwarf candidate members of Praesepe undertaken with the VLT and Ultraviolet and Visual Echelle Spectrograph. We find, contrary to a number of previous studies, that WD0836+201 (LB390, EG59) and WD0837+199 (LB393, EG61) are magnetic and non-magnetic white dwarfs, respectively. Subsequently, we determine the radial velocities for the eight non-magnetic degenerates and provide compelling evidence that WD0837+185 is a radial velocity variable and possibly a double-degenerate system. We also find that our result for WD0837+218, in conjunction with its projected spatial location and position in initial mass–final mass space, argues it is more likely to be a field star than a cluster member. After eliminating these two white dwarfs, and WD0836+199 which has no clean Sloan Digital Sky Survey photometry, we use the remaining five stars to substantiate modern theoretical mass–radius relations for white dwarfs. In light of our new results, we re-examine the white dwarf members of Praesepe and use them to further constrain the initial mass–final mass relation (IFMR). We find a near-monotonic IFMR, which can still be adequately represented by simple linear function with only one outlier which may have formed from a blue straggler star.
Shifts of Gamma Phase across Primary Visual Cortical Sites Reflect Dynamic Stimulus-Modulated Information Transfer

Distributed neural processing likely entails the capability of networks to reconfigure dynamically the directionality and strength of their functional connections. Yet, the neural mechanisms that may allow such dynamic routing of the information flow are not yet fully understood. We investigated the role of gamma band (50–80 Hz) oscillations in transient modulations of communication among neural populations by using measures of direction-specific causal information transfer. We found that the local phase of gamma-band rhythmic activity exerted a stimulus-modulated and spatially-asymmetric directed effect on the firing rate of spatially separated populations within the primary visual cortex. The relationships between gamma phases at different sites (phase shifts) could be described as a stimulus-modulated gamma-band wave propagating along the spatial directions with the largest information transfer. We observed transient stimulus-related changes in the spatial configuration of phases (compatible with changes in direction of gamma wave propagation) accompanied by a relative increase of the amount of information flowing along the instantaneous direction of the gamma wave. These effects were specific to the gamma-band and suggest that the time-varying relationships between gamma phases at different locations mark, and possibly causally mediate, the dynamic reconfiguration of functional connections.
Variation of the melanocortin 1 receptor gene in the macaques

Melanocortin 1 receptor (MC1R), a G‐coupled seven‐transmembrane receptor protein, plays a key role in the regulation of melanin synthesis in mammals. Sequence variation of the MC1R gene (MC1R) has been associated with pigmentation phenotypes in humans and in several animal species. The macaques (genus Macaca) are known to show a marked inter‐specific variation in coat color although the causative genetic variation remains unclear. We investigated nucleotide sequences of the MC1R in 67 individuals of 18 macaque species with different coat color phenotypes including black and agouti. Twenty‐eight amino acid replacements were identified in the macaques, but none of these amino acid replacements could explain the black coat color of Macaca silenus and the Sulawesi macaque species. Our molecular evolutionary analysis has revealed that nonsynonymous substitution/synonymous substitution (dN/dS) ratio of the MC1R has not been uniform in the macaque groups and, moreover, their coat color and dN/dS ratio were not related. These results suggest that the MC1R is unlikely to be responsible for the coat color variation of the macaques and functions of MC1R other than pigmentation might be associated with the different selective pressures on the MC1R in macaques. Am. J. Primatol. 70:778–785, 2008. © 2008 Wiley‐Liss, Inc.
Butyrate modifies intestinal barrier function in IPEC-J2 cells through a selective upregulation of tight junction proteins and activation of the Akt signaling pathway

The intestinal epithelial barrier, composed of epithelial cells, tight junction proteins and intestinal secretions, prevents passage of luminal substances and antigens through the paracellular space. Dysfunction of the intestinal barrier integrity induced by toxins and pathogens is associated with a variety of gastrointestinal disorders and diseases. Although butyrate is known to enhance intestinal health, its role in the protection of intestinal barrier function is poorly characterized. Therefore, we investigated the effect of butyrate on intestinal epithelial integrity and tight junction permeability in a model of LPS-induced inflammation in IPEC-J2 cells. Butyrate dose-dependently reduced LPS impairment of intestinal barrier integrity and tight junction permeability, measured by trans-epithelial electrical resistance (TEER) and paracellular uptake of fluorescein isothiocyanate-dextran (FITC-dextran). Additionally, butyrate increased both mRNA expression and protein abundance of claudins-3 and 4, and influenced intracellular ATP concentration in a dose-dependent manner. Furthermore, butyrate prevented the downregulation of Akt and 4E-BP1 phosphorylation by LPS, indicating that butyrate might enhance tight junction protein abundance through mechanisms that included activation of Akt/mTOR mediated protein synthesis. The regulation of AMPK activity and intracellular ATP level by butyrate indicates that butyrate might regulate energy status of the cell, perhaps by serving as a nutrient substrate for ATP synthesis, to support intestinal epithelial barrier tight junction protein abundance. Our findings suggest that butyrate might protect epithelial cells from LPS-induced impairment of barrier integrity through an increase in the synthesis of tight junction proteins, and perhaps regulation of energy homeostasis.
Towards ultrahigh dimensional feature selection for big data

In this paper, we present a new adaptive feature scaling scheme for ultrahigh-dimensional feature selection on Big Data, and then reformulate it as a convex semi-infinite programming (SIP) problem. To address the SIP, we propose an efficient feature generating paradigm. Different from traditional gradient-based approaches that conduct optimization on all input features, the proposed paradigm iteratively activates a group of features, and solves a sequence of multiple kernel learning (MKL) subproblems. To further speed up the training, we propose to solve the MKL subproblems in their primal forms through a modified accelerated proximal gradient approach. Due to such optimization scheme, some efficient cache techniques are also developed. The feature generating paradigm is guaranteed to converge globally under mild conditions, and can achieve lower feature selection bias. Moreover, the proposed method can tackle two challenging tasks in feature selection: 1) group-based feature selection with complex structures, and 2) nonlinear feature selection with explicit feature mappings. Comprehensive experiments on a wide range of synthetic and real-world data sets of tens of million data points with O(1014) features demonstrate the competitive performance of the proposed method over state-of-the-art feature selection methods in terms of generalization performance and training effciency.