Miracle-dz/UniFAR-FTUs huggingface dataset:
M/sup 2/DR: a near-optimal multiclass minimum-delay routing algorithm for smart radio access networks

Today, we witness a transformation of radio access network topologies from strictly tree-structured towards meshed architectures. Yet, these edge networks follow mostly circuit-switched paradigms to support quality of service applications such as voice or video communication. In this work, we develop a novel quality of service aware routing framework to optimize the performance of edge networks in the packet-switched domain. Starting from the Internet's best-effort routing paradigm and building on related work, we formulate a near-optimal multiclass minimum-delay routing algorithm. Our algorithm optimizes network-wide end-to-end delay and allows for differentiation of service. We exploit two orthogonal dimensions namely multipath routing and class-based service prioritization. We provide a precise description of our algorithm and a detailed experimental analysis against state of the art routing algorithms. Our algorithm is able to achieve excellent performance while maintaining the simplicity of a decentralized and distributed routing algorithm, thus matching the requirements for future radio access networks
Calreticulin inhibits commitment to adipocyte differentiation

Calreticulin, an endoplasmic reticulum (ER) resident protein, affects many critical cellular functions, including protein folding and calcium homeostasis. Using embryonic stem cells and 3T3-L1 preadipocytes, we show that calreticulin modulates adipogenesis. We find that calreticulin-deficient cells show increased potency for adipogenesis when compared with wild-type or calreticulin-overexpressing cells. In the highly adipogenic crt−/− cells, the ER lumenal calcium concentration was reduced. Increasing the ER lumenal calcium concentration led to a decrease in adipogenesis. In calreticulin-deficient cells, the calmodulin–Ca2+/calmodulin-dependent protein kinase II (CaMKII) pathway was up-regulated, and inhibition of CaMKII reduced adipogenesis. Calreticulin inhibits adipogenesis via a negative feedback mechanism whereby the expression of calreticulin is initially up-regulated by peroxisome proliferator–activated receptor γ (PPARγ). This abundance of calreticulin subsequently negatively regulates the expression of PPARγ, lipoprotein lipase, CCAAT enhancer–binding protein α, and aP2. Thus, calreticulin appears to function as a Ca2+-dependent molecular switch that regulates commitment to adipocyte differentiation by preventing the expression and transcriptional activation of critical proadipogenic transcription factors.
Fast and viewpoint robust human detection in uncluttered environments

Human detection is a very popular field of computer vision. Few works propose a solution for detecting people whatever the camera's viewpoint such as for UAV applications. In this context even state-of-the-art detectors can fail to detect people. We found that the Integral Channel Features detector (ICF) is inoperant in such a context. In this paper, we propose an approach to still benefit from the assets of the ICF while considerably extending the angular robustness during the detection. The main contributions of this work are: a new framework based on the Cluster Boosting Tree and the ICF detector for viewpoint robust human detection; a new training dataset for taking into account the human shape modifications occuring when the pitch angle of the camera changes. We showed that our detector (the PRD) is superior to the ICF for detecting people from complex viewpoints in uncluttered environments and that the computation time of the detector is real-time compatible.
Poor Health-Related Quality of Life and Proactive Primary Control Strategy May Act as Risk Factors for Acute Coronary Syndrome

Background and Objectives Increasing evidence supports that psychological factors may be related to development of coronary artery disease (CAD). Although psychological well-being, ill-being, and control strategy factors may play a significant role in CAD, rarely have these factors been simultaneously examined previously. We assessed comprehensive psychological factors in patients with acute coronary syndrome (ACS). Subjects and Methods A total of 85 ACS patients (56 unstable angina, 29 acute myocardial infarction; 52.6±10.2 years; M/F=68/17) and 63 healthy controls (48.7±6.7 years, M/F=43/20) were included. Socio-demographic information, levels of psychological maladjustment, such as anxiety, hostility, and job stress, health-related quality of life (HRQoL), and primary and secondary control strategy use were collected through self-report questionnaires. Results There was no significant difference between the ACS group and control group in levels of anxiety, hostility, and job stress. However, ACS patients had significantly lower scores on the general health perception and bodily pain subscales of HRQoL than the control group. The ACS group, as compared with the controls, tended to use primary control strategies more, although not reaching statistical significance by univariate analysis. Multivariate logistic regression analysis after adjusting age and gender identified the physical domain of HRQoL {odds ratio (OR)=0.40}, primary control strategy (OR=1.92), and secondary control strategy (OR=0.53) as independent predictors of ACS. Conclusion Poor HRQoL and primary control strategy, proactive behaviors in achieving ones' goal, may act as risk factors for ACS, while secondary control strategy to conform to current situation may act as a protective factor for ACS.
Capturing Flexible Heterogeneous Utility Curves: A Bayesian Spline Approach

Empirical evidence suggests that decision makers often weight successive additional units of a valued attribute or monetary endowment unequally, so that their utility functions are intrinsically nonlinear or irregularly shaped. Although the analyst may impose various functional specifications exogenously, this approach is ad hoc, tedious, and reliant on various metrics to decide which specification is “best. ” In this paper, we develop a method that yields individual-level, flexibly shaped utility functions for use in choice models. This flexibility at the individual level is accomplished through splines of the truncated power basis type in a general additive regression framework for latent utility. Because the number and location of spline knots are unknown, we use the birth-death process of Denison et al. (1998) and Green's (1995) reversible jump method. We further show how exogenous constraints suggested by theory, such as monotonicity of price response, can be accommodated. Our formulation is particularly suited to estimating reaction to pricing, where individual-level monotonicity is justified theoretically and empirically, but linearity is typically not. The method is illustrated in a conjoint application in which all covariates are splined simultaneously and in three panel data sets, each of which has a single price spline. Empirical results indicate that piecewise linear splines with a modest number of knots fit these data well, substantially better than heterogeneous linear and log-linear a priori specifications. In terms of price response specifically, we find that although aggregate market-level curves can be nearly linear or log-linear, individuals often deviate widely from either. Using splines, hold-out prediction improvement over the standard heterogeneous probit model ranges from 6% to 14% in the scanner applications and exceeds 20% in the conjoint study. Moreover, “optimal” profiles in conjoint and aggregate price response curves in the scanner applications can differ markedly under the standard and the spline-based models.
FPGA based Image Feature Extraction Using Xilinx System Generator

Image Features are the basis for most of the real time image processing applications. Edge is one of the prime features of image. It helps us to analyze, infer and take decision in various image processing applications. In this paper sobel and prewitts algorithms are implemented over Field Programmable Gate Array (FPGA). Real time system demands dedicated hardware for image processing. Prototype of the ASIC can be obtained by FPGA based implementation of edge detection algorithm. FPGA has many significant features, that serves as a platform for processing real time algorithm. It gives substantially higher performance over programmable Digital Signal Processor (DSPs) and microprocessor. Modern approach of ‘Xilinx System Generator’ (XSG) is used for system modeling and FPGA programming. XSG is a tool of matlab that generates bit stream file (*.bit), netlist, timing and power analysis. KeywordsImage features, FPGA, XSG, Matlab.
Query expansion enhancement by fast binary matching

Query expansion has been successfully employed to improve the performance of image retrieval system. It usually expands the original query based on the information from top ranked images. However, it may fail when some of the top ranked images are false positive or contain noisy features. To minimize the amount of irrelevant local features introduced, we propose to enhance query expansion by fast binary matching. More specifically, the noisy points on a candidate image are filtered out by local verification with their mapped locations on the query image. We further rank the expansion results by three different measurements based on local patch similarity in the image space. Experiments on partial-duplicate Web image search with a database of one million images show that the proposed approach achieves promising improvement in mean Average Precision (mAP) over the state-of-the-art query expansion approaches, and remains efficient in search time.
Generating Bayesian networks from medical ontologies

This work presents the development of a method for semiautomatically generating Bayesian networks for medical diagnosis and treatment from medical ontologies. Bibliographic review of the formalisms and related works are shown, as well as the formulated hypotheses, developed algorithm and the preparation of the evaluation experiment. Results pointed to correction rates of 82.1% and 90.5% for arcs and nodes generation, respectively.
Multimode quantum entropy power inequality

The quantum version of a fundamental entropic data-processing inequality is presented. It establishes a lower bound for the entropy that can be generated in the output channels of a scattering process, which involves a collection of independent input bosonic modes (e.g., the modes of the electromagnetic field). The impact of this inequality in quantum information theory is potentially large and some relevant implications are considered in this work.
Q A ] 3 O ct 2 00 7 Noncommutative families of instantons

We construct θ-deformations of the classical groups SL(2, H) and Sp(2). Coacting on the basic instanton on a noncommutative four-sphere S4 θ , we construct a noncommutative family of instantons of charge 1. The family is parametrized by the quantum quotient of SLθ(2, H) by Spθ(2).
Performance analysis of security enforcement on Android operating system

Google's Android platform has thrived in the smartphone market and has received a considerable amount of attention from mobile developers. Android's open platform encourages development of various applications and delivery systems, but this open source policy weakens dependability against various attacks. In this paper, we apply TOMOYO Linux, which provides MAC-based tools to Android for security enforcement. Because these security enforcement tools run at the kernel level, Android applications do not need to be modified. We also evaluate and analyze patched platforms on an evaluation board. The results show that our platform decreases the performance of the CPU and file operations by as much as 25% while not affecting memory management operations.
Fasting Leptin Is a Metabolic Determinant of Food Reward in Overweight and Obese Individuals during Chronic Aerobic Exercise Training

Changes in food reward have been implicated in exercise-induced compensatory eating behaviour. However, the underlying mechanisms of food reward, and the physiological correlates of exercise-induced changes in food reward, are unknown. Methods. Forty-six overweight and obese individuals completed 12 weeks of aerobic exercise. Body composition, food intake, and fasting metabolic-related hormones were measured at baseline, week six, and postintervention. On separate days, the reward value of high-and-low-fat food (explicit liking and implicit wanting) was also assessed at baseline, week six, and postintervention. Results. Following the intervention, FM, FFM, and VO2peak improved significantly, while fasting leptin decreased. However, food intake or reward did not change significantly. Cross-sectional analyses indicated that FM (P = 0.022) and FFM (P = 0.046) were associated with explicit liking for high-fat food, but implicit wanting was associated with FM only (P = 0.005). Fasting leptin was associated with liking (P = 0.023) and wanting (P = 0.021) for high-fat food. Furthermore, a greater exercise-induced decline in fasting leptin was associated with increased liking (P = 0.018). Conclusion. These data indicate that food reward has a number of physiological correlates. In particular, fasting leptin appears to play an active role in mediating food reward during exercise-induced weight loss.
Towards google challenge: combining contextual and social information for web video categorization

Web video categorization is a fundamental task for web video search. In this paper, we explore the Google challenge from a new perspective by combing contextual and social information under the scenario of social web. The semantic meaning of text (title and tags), video relevance from related videos, and user interest induced from user videos, are integrated to robustly determine the video category. Experiments on YouTube videos demonstrate the effectiveness of the proposed solution. The performance reaches 60% improvement compared to the traditional text based classifiers.
A Real-Time Apple Grading System Using Multicolor Space

This study was focused on the multicolor space which provides a better specification of the color and size of the apple in an image. In the study, a real-time machine vision system classifying apples into four categories with respect to color and size was designed. In the analysis, different color spaces were used. As a result, 97% identification success for the red fields of the apple was obtained depending on the values of the parameter “a” of CIE L*a*b*color space. Similarly, 94% identification success for the yellow fields was obtained depending on the values of the parameter y of CIE XYZ color space. With the designed system, three kinds of apples (Golden, Starking, and Jonagold) were investigated by classifying them into four groups with respect to two parameters, color and size. Finally, 99% success rate was achieved in the analyses conducted for 595 apples.
Using ensemble classifier systems for handling missing data in emotion recognition from physiology: One step towards a practical system

Previous work on emotion recognition from physiology has rarely addressed the problem of missing data. However, data loss due to artifacts is a frequent phenomenon in practical applications. Discarding the whole data instance if only a part is corrupted results in a substantial loss of data. To address this problem, two methods for handling missing data (imputation and reduced-feature models) in combination with two classifier fusion approaches (majority and confidence voting) are investigated in this work. The five emotions amusement, anger, contentment, neutral and sadness were elicited in 20 subjects by films while six physiological signals (ECG, EMG, EOG, EDA, respiration and finger temperature) were recorded. Results show that classifier fusion significantly increases the recognition accuracy in comparison to single classifiers by up to 16.3%. Regarding the methods for handling missing data, reduced-feature models are competitive or even slightly better than models which employ imputation. This is beneficial for practical applications where computational complexity is critical.
Relationships between Brain Structure and Metabolic Changes in Schizophrenia Patients Treated with Olanzapine: A Voxel-Based Morphometric Study

Introduction. Second-generation antipsychotics treatment is associated with weight gain and metabolic disturbances. Although much research has been done on the topic, the precise mechanisms underlying such side effects are still not well understood. Method. We followed over 16 weeks a group of 17 schizophrenia patients who were treated with olanzapine and monitored biometric, clinical, and metabolic data, including ghrelin and leptin levels. All patients had a structural cerebral magnetic resonance imaging examination during the first week of their followup and at the end of the study. Results. We found positive and negative significant correlations between grey matter volumes of several brain regions and variations of body weight as well as of ghrelin and leptin levels. The right frontal operculum, bilateral precuneus, and bilateral hippocampal regions were found to be significantly associated with those changes. Conclusion. Our results suggest associations between brain structure and metabolic variations in schizophrenia patients taking olanzapine.
"A LITTLE LEARNING IS A DANGEROUS THING": THE NATURE OF SCIENCE AND SHORT HISTORICAL ACCOUNTS

History of science may help to transmit relevant messages about the nature of science. There are, however, many difficulties concerning an efficient educational use of historical episodes. This paper addresses this educational problem, using a case study: a description of Thomas Young's contribution to the wave theory of light that was used in a short highschool level course on the history of optics. In this particular case, the omission of several features of Young's contributions has led many students to a misunderstanding of his role in the establishment of the wave theory of light and also has conveyed inadequate messages concerning epistemological issues. Starting from the case study, this paper discusses how the absence of historical information or its excessive simplification may promote a naive or faulty view concerning the scientific endeavor. Of course, in educational settings it is impossible to present a detailed historical account of scientific episodes. It is necessary to choose which historical details will be introduced, and which scientific, metascientific and sociocultural features of each episode must be included or can be omitted. This paper suggests some criteria that can help this choice, taking into account the educational aims in view.
Transition mechanisms induced by travelling crossflow vortices in a three-dimensional boundary layer

The laminar breakdown induced by purely travelling crossflow vortices in a three-dimensional flat-plate boundary-layer flow is investigated in detail by means of spatial direct numerical simulations. The base flow considered is generic for an infinite swept wing, with decreasing favourable chordwise pressure gradient and a sweep angle of $45^\circ$. First, the primary downstream growth and nonlinear saturation state of a single crossflow wave are simulated. Secondly, background disturbance pulses are added, and the subsequent mechanisms triggering transition to turbulence in this scenario are identified and analysed in detail. The saturated travelling crossflow vortex is found to give rise to a co-travelling secondary instability not unlike the instability in the much investigated steady crossflow-vortex case, but with characteristic differences. An analysis method with a spanwise Galilean transformation to travel with the primary wave and a consequently adapted timewise/spanwise Fourier decomposition of the disturbance flow enables unambiguous isolation of the various secondary disturbance modes. The resulting flow structures and their dynamics in physical space are visualized.
“They Give Teachers a Hard Time”: Symbolic Violence and Intersections of Race and Class in Interpretations of Teacher-student Relations

A number of studies identify racial and class differences in disciplinary actions and teacher-student interactions; however, scholars place less emphasis on how race and class intersect to shape classifications of teacher-student relations. Using findings from an ethnographic study in a high school with significant racial and class stratification, I examine how teachers and black students of varying social-class backgrounds describe teacher-student relations and academic disparities. I show how middle-class and some working-class Honors black students shared their teachers’ discourse about urban poor disengagement and “black” misbehavior with teachers. Meanwhile, working-class (primarily non-Honors) black students called out teacher mistreatment in light of experiencing punitive relations and problems with teachers. Some of their peers and teachers interpreted such calls of racism as “making excuses” for disengagement. Using Bourdieu’s concepts of symbolic violence and misrecognition, I demonstrate the power of language about black student-teacher relations as school actors routinely legitimate race-class stereotypes in a diverse school.
The dwarf nova SS Cygni: what is wrong?

Since the Fine Guiding Sensor (FGS) on the Hubble Space Telescope (HST) was used to measure the distance to SS Cyg to be $166\pm12$ pc, it became apparent that at this distance the disc instability model fails to explain the absolute magnitude during outburst. It remained, however, an open question whether the model or the distance have to be revised. Recent observations led to a revision of the system parameters of SS Cyg and seem to be consistent with a distance of $d\gta 140$ pc. We re-discuss the problem taking into account the new binary and stellar parameters measured for SS Cyg. We confront not only the observations with the predictions of the disc instability model but also compare SS Cyg with other dwarf novae and nova-like systems. We assume the disc during outburst to be in a quasi stationary state and use the black-body approximation to estimate the accretion rate during outburst as a function of distance. Using published analysis of the long term light curve we determine the mean mass transfer rate of SS Cyg as a function of distance and compare the result with mass transfer rates derived for other dwarf novae and nova-like systems. At a distance of $d\gta 140$ pc, both the accretion rate during outburst as well as the mean mass transfer rate of SS Cyg contradict the disc instability model. More important, at such distances we find the mean mass transfer rate of SS Cyg to be higher or comparable to those derived for nova-like systems. Our findings show that a distance to SS Cyg $\gta 140$ pc contradicts the main concepts developed for accretion discs in cataclysmic variables during the last 30 years. Either our current picture of disc accretion in these systems must be revised or the distance to SS Cyg is $\sim 100$ pc
WWW-Based Remote Speaker Verification Demo System

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