Miracle-dz/UniFAR-FTUs huggingface dataset:
Direct MinE–membrane interaction contributes to the proper localization of MinDE in E. coli

Dynamic oscillation of the Min system in Escherichia coli determines the placement of the division plane at the midcell. In addition to stimulating MinD ATPase activity, we report here that MinE can directly interact with the membrane and this interaction contributes to the proper MinDE localization and dynamics. The N‐terminal domain of MinE is involved in direct contact between MinE and the membranes that may subsequently be stabilized by the C‐terminal domain of MinE. In an in vitro system, MinE caused liposome deformation into membrane tubules, a property similar to that previously reported for MinD. We isolated a mutant MinE containing residue substitutions in R10, K11 and K12 that was fully capable of stimulating MinD ATPase activity, but was deficient in membrane binding. Importantly, this mutant was unable to support normal MinDE localization and oscillation, suggesting that direct MinE interaction with the membrane is critical for the dynamic behavior of the Min system.
Stress au travail et santé : situation chez les indépendants

Dans le cadre de l'activite professionnelle, des facteurs de stress d'ordre psychologique, social, et lies a l'organisation du travail, peuvent induire des reponses physiologiques et comportementales impliquees dans la survenue de pathologies comme les maladies cardiovasculaires, les troubles de la sante mentale et les troubles musculosquelettiques.Le Regime social des independants (RSI) a sollicite l'Inserm afin de disposer d'un bilan des connaissances sur le stress d'origine professionnelle chez les travailleurs independants et ses repercussions sur la sante.Regroupant a la fois des competences en biologie, psychologie, sociologie et economie de la sante, cette expertise collective presente les modeles et les mecanismes explicatifs mettant en relation le stress au travail et les principales pathologies.Les strategies de prevention individuelle et collective qui se developpent dans le milieu des travailleurs salaries peuvent-elles etre adaptees aux travailleurs independants ? [Ed.]
Review of A Large Clinical Series: Predicting Death for Patients With Abdominal Septic Shock

This paper reports the result of the MEDAN project that analyzes a multicenter septic shock patient data collection. The mortality prognosis based on 4 scores that are often used is compared with the prognosis of a trained neural network. We built an alarm system using the network classification results. Method. We analyzed the data of 382 patients with abdominal septic shock who were admitted to the intensive care unit (ICU) from 1998 to 2002. The analysis includes the calculation of daily sepsis-related organ failure assessment (SOFA), Acute Physiological and Chronic Health Evaluation (APACHE) II, simplified acute physiology score (SAPS) II, multiple-organ dysfunction score (MODS) scores for each patient and the training and testing of an appropriate neural network. Results. For our patients with abdominal septic shock, the analysis shows that it is not possible to predict their individual fate correctly on the day of admission to the ICU on the basis of any current score. However, when the trained network computes a score value below the threshold during the ICU stay, there is a high probability that the patient will die within 3 days. The trained neural network obtains the same outcome prediction performance as the best score, the SOFA score, using narrower confidence intervals and considering three variables only: systolic blood pressure, diastolic blood pressure and the number of thrombocytes. We conclude that the currently best available score for abdominal septic shock may be replaced by the output of a trained neural network with only 3 input variables.
Antimicrobial Resistance of Campylobacter Isolates from Retail Meat in the United States between 2002 and 2007

ABSTRACT The emergence of antimicrobial resistance in Campylobacter spp. has been a growing public health concern globally. The objectives of this study were to determine the prevalence, antimicrobial susceptibility, and genetic relatedness of Campylobacter spp. recovered by the National Antimicrobial Resistance Monitoring System (NARMS) retail meat program. Retail meat samples (n = 24,566) from 10 U.S. states collected between 2002 and 2007, consisting of 6,138 chicken breast, 6,109 ground turkey, 6,171 ground beef, and 6,148 pork chop samples, were analyzed. A total of 2,258 Campylobacterjejuni, 925 Campylobactercoli, and 7 Campylobacterlari isolates were identified. Chicken breast samples showed the highest contamination rate (49.9%), followed by ground turkey (1.6%), whereas both pork chops and ground beef had <0.5% contamination. The most common resistance was to doxycycline/tetracycline (46.6%), followed by nalidixic acid (18.5%), ciprofloxacin (17.4%), azithromycin and erythromycin (2.8%), telithromycin (2.4%), clindamycin (2.2%), and gentamicin (<0.1%). In a subset of isolates tested, no resistance to meropenem and florfenicol was seen. C. coli isolates showed higher resistance rates to antimicrobials, with the exception of doxycycline/tetracycline, than those seen for C. jejuni. Pulsed-field gel electrophoresis (PFGE) fingerprinting resulted in 1,226 PFGE profiles among the 2,318 isolates, with many clones being widely dispersed throughout the 6-year sampling period.
A comparative study of counterfactual estimators

We provide a comparative study of several widely used off-policy estimators (Empirical Average, Basic Importance Sampling and Normalized Importance Sampling), detailing the different regimes where they are individually suboptimal. We then exhibit properties optimal estimators should possess. In the case where examples have been gathered using multiple policies, we show that fused estimators dominate basic ones but can still be improved.
Digital Innovation as a Fundamental and Powerful Concept in the Information Systems Curriculum

The 50-year march of Moore's Law has led to the creation of a relatively cheap and increasingly easy-touse world-wide digital infrastructure of computers, mobile devices, broadband network connections, and advanced application platforms. This digital infrastructure has, in turn, accelerated the emergence of new technologies that enable transformations in how we live and work, how companies organize, and the structure of entire industries. As a result, it has become important for all business students to have a strong grounding in IT and digital innovation in order to manage, lead, and transform organizations that are increasingly dependent on digital innovation. Yet, at many schools, students do not get such grounding because the required information systems core class is stuck in the past. We present a vision for a redesigned IS core class that adopts digital innovation as a fundamental and powerful concept (FPC). A good FPC serves as both a foundational concept and an organizing principle for a course. We espouse a particularly broad conceptualization of digital innovation that allows for a variety of teaching styles and topical emphases for the IS core class. This conceptualization includes three types of innovation (i.e., process, product, and business model innovation), and four stages for the overall innovation process (i.e., discovery, development, diffusion, and impact). Based on this conceptualization, we examine the implications of adopting digital innovation as an FPC. We also briefly discuss broader implications relating to (1) the IS curriculum beyond the core class, (2) the research agenda for the IS field, and (3) the identity and legitimacy of IS in business schools.
Numerical Study of $C$–$V$ Characteristics of Double-Gate Ultrathin SOI MOSFETs

Capacitance-voltage (C-V) characteristics of double-gate ultrathin silicon-on-insulator (SOI) MOSFETs are numerically investigated in detail. The measured back-gate bias dependence is reproduced by the Poisson-Schrodinger solver including the highly precise physical models for many-body interactions of carrier-carrier and carrier-ion, and for incomplete ionization of doping impurities in whole semiconductor regions of n+poly-Si/oxide/SOI/oxide/p-Si capacitor including the volume inversion. In addition, we study the higher subband effect at higher temperature in detail, in order to deduce the impacts of self-heating and nonstatic transport
Div150Cred: A social image retrieval result diversification with user tagging credibility dataset

In this paper we introduce a new dataset and its evaluation tools, Div150Cred, that was designed to support shared evaluation of diversification techniques in different areas of social media photo retrieval and related areas. The dataset comes with associated relevance and diversity assessments performed by human annotators. The data consists of 300 landmark locations represented via 45,375 Flickr photos, 16M photo links for around 3,000 users, metadata, Wikipedia pages and content descriptors for text and visual modalities. To facilitate distribution, only Creative Commons content was included in the dataset. The proposed dataset was validated during the 2014 Retrieving Diverse Social Images Task at the MediaEval Benchmarking Initiative.
Non Local Point Set Surfaces

We introduce a non local point set surface model for mesh less geometry processing. Compared to previous approaches, our model better preserves features by exploiting self-similarities present in natural and man-made 3D shapes. The basic idea is to decompose 3D samples into scalar displacements over a coarse smooth domain. Then, considering the displacement field stemming from the local neighboring set of a given point, we collect similar functions over the entire model and define a specific displacement value for the point by the mean of similarity-based weighted combination of them. The underlying scale-space decomposition allows for a wide range of similarity metrics, while scalar displacements simplify rotation-invariant registration of the local sample sets. Our contribution is a non local extension of all previous point set surface models, which (i) improves feature preservation by exploiting self-similarities, iif present, and (ii) boils down to the underlying (local) point set surface model, when self-similarities are not strong enough. We evaluate our approach against state-of-the-art point set surface models and demonstrate its ability to better preserve details in the presence of noise and highly varying sampling rates. We apply it to several data sets, in the context of typical point-based applications.
Probabilistic Integrated Assessment of "Dangerous" Climate Change

Climate policy decisions are being made despite layers of uncertainty. Such decisions directly influence the potential for “dangerous anthropogenic interference with the climate system. ” We mapped a metric for this concept, based on Intergovernmental Panel on Climate Change assessment of climate impacts, onto probability distributions of future climate change produced from uncertainty in key parameters of the coupled social-natural system—climate sensitivity, climate damages, and discount rate. Analyses with a simple integrated assessment model found that, under midrange assumptions, endogenously calculated, optimal climate policy controls can reduce the probability of dangerous anthropogenic interference from ∼45% under minimal controls to near zero.
DER SAARBRÜCKER PERSÖNLICHKEITSFRAGEBOGEN SPF(IRI) ZUR MESSUNG VON EMPATHIE: Psychometrische Evaluation der deutschen Version des Interpersonal Reactivity Index

Der Interpersonal Reactivity Index (IRI) ist einer der am haufigsten in der Praxis eingesetzte Fragebogen zur Messung von Empathie. Die wenigen deutschen Ubersetzungen weisen allerdings ahnliche testtheoretischen Schwachen auf wie das Original (vgl. dazu z.B. Enzmann, 1996; Beven, 2004; Lauterbach & Hosser, 2007). Nach einer mehrfachen Uberarbeitung aufgrund faktorenanalytischer Ergeb-nisse und marginalen Umformulierungen in der Ubersetzung konnten wir eine deutsche Version der IRI erstellen, die gute Kennwerte in den Bereichen der Reliabilitat, der Validitat und der Itemtrennscharfen aufweist. The Interpersonality Reactivity Index (IRI) is one of the most used questionnaires in practice to the measurement of empathy. However, all German translations show similar test-theoretical weaknesses (e.g. Enzmann, 1996; Beven, 2004; Lauterbach & Hosser, in 2007). After a multiple reworking on account of factor-analytic results and marginal changes in the translation we could provide a German version of the IRI which shows good values in the reliability, factorial validity and the item analyses
MicroRNA-208a Silencing Attenuates Doxorubicin Induced Myocyte Apoptosis and Cardiac Dysfunction

Aims. GATA4 depletion is a distinct mechanism by which doxorubicin leads to cardiomyocyte apoptosis, and preservation of GATA4 mitigates doxorubicin induced myocyte apoptosis and cardiac dysfunction. We investigated a novel approach of attenuating doxorubicin induced cardiac toxicity by silencing miR-208a, a heart specific microRNA known to target GATA4. Methods and Results. Eight-week-old female Balb/C mice were randomly assigned to sham, antagomir, and control groups. Antagomir group were pretreated with miR-208a antagomir 4 days before doxorubicin administration. At day 0, control and antagomir groups received 20 mg/kg of doxorubicin, while sham mice received phosphate buffered solution. Echocardiography was done at day 7, after which animals were sacrificed and hearts harvested and assessed for apoptosis and expression of miR-208a, GATA4, and BCL-2. Doxorubicin significantly upregulated miR-208a, downregulated GATA4, and increased myocyte apoptosis, with resulting decrease in cardiac function. In contrast, therapeutic silencing of miR-208a salvaged GATA4 and BCL-2 and decreased apoptosis, with improvement in cardiac function. Conclusion. Doxorubicin upregulates miR-208a and promotes cardiomyocyte apoptosis, while therapeutic silencing of miR-208a attenuates doxorubicin induced myocyte apoptosis with subsequent improvement in cardiac function. These novel results highlight the therapeutic potential of targeting miR-208a to prevent doxorubicin cardiotoxicity.
The influence of the swaying arm angle range to the torso torque of the humanoid robot during walking

The swing arm motion is a natural phenomenon that realized in humanoid robot walking. The swaying arm angle range is introduced in this study to utilize the humanoid robot arm during walking. The main idea of this technique is the employment of swinging arm to reduce the torque at the torso in the vertical direction. The torso torque, τt is computed using a method which utilizes the servo torque of hip and shoulder joints. The approach is tested using H25V33 NAO humanoid robot in the Webot™ Robotic Simulator. The result indicates that the method is successful in reducing the torso torque, τt during humanoid robot walking.
Co-design of controller and setup configuration using Genetic Algorithm

In many structures the decision on how to apply actuators and sensors is a complicated puzzle. A balance between implementation cost and achievable performance must be found, and this proves to be a challenging task. In this paper, an optimization procedure is proposed to co-design the number of actuators and sensors on the one hand and simultaneously determine the corresponding optimal controller feedback gains on the other hand. Both are optimized to obtain optimal control performance. Starting from a state-space representation, the presence or absence of actuators and sensors is described as selection binaries. Furthermore, many non-linearities are present as for example the maximum control effort u or implementation cost change discontinuously when different configurations are used. A proposed method to answer these problems is to use a novel Genetic Algorithm implementation. This way, a resulting optimization procedure is formulated to define the optimal hardware configuration choosing from several possible actuator types on the one hand. On the other, it can concurrently determine the feedback gains that make optimal use of the available maximum actuator control effort u.
Relevant Feature Integration and Extraction for Single-Trial Motor Imagery Classification

Brain computer interfaces provide a novel channel for the communication between brain and output devices. The effectiveness of the brain computer interface is based on the classification accuracy of single trial brain signals. The common spatial pattern (CSP) algorithm is believed to be an effective algorithm for the classification of single trial brain signals. As the amplitude feature for spatial projection applied by this algorithm is based on a broad frequency bandpass filter (mainly 5–30 Hz) in which the frequency band is often selected by experience, the CSP is sensitive to noise and the influence of other irrelevant information in the selected broad frequency band. In this paper, to improve the CSP, a novel relevant feature integration and extraction algorithm is proposed. Before projecting, we integrated the motor relevant information to suppress the interference of noise and irrelevant information, as well as to improve the spatial difference for projection. The algorithm was evaluated with public datasets. It showed significantly better classification performance with single trial electroencephalography (EEG) data, increasing by 6.8% compared with the CSP.
A scene-referred color transfer for pleasant imaging on display

Seeing 600th anniversary of Gutenberg's birth in 2000 A.D., display technology is now playing a leading role in visual communication but meets severe assessment to satisfy human vision. Not only advances in high definition devices, but also "intelligent image processing'' are indispensable for the more aesthetic and pleasant imaging. This paper introduces our challenge to "scene-referred" pleasant color transformation onto display. An objective color in reference image is transferred to that of source image, so that color atmosphere is transferred from one scene to another without any color targets or test images.
Towards a Game Theoretic View of Secure Computation

We demonstrate how Game Theoretic concepts and formalism can be used to capture cryptographic notions of security. In the restricted but indicative case of two-party protocols in the face of malicious fail-stop faults, we first show how the traditional notions of secrecy and correctness of protocols can be captured as properties of Nash equilibria in games for rational players. Next, we concentrate on fairness. Here we demonstrate a Game Theoretic notion and two different cryptographic notions that turn out to all be equivalent. In addition, we provide a simulation based notion that implies the previous three. All four notions are weaker than existing cryptographic notions of fairness. In particular, we show that they can be met in some natural setting where existing notions of fairness are provably impossible to achieve.
Timing Failures Detection in Web Services

Current business critical environments increasingly rely on SOA standards to execute business operations. These operations are frequently based on Web service compositions that use several Web services over the internet and have to fulfill specific timing constraints. In these environments, an operation that does not conclude in due time may have a high cost as it can easily turn into service abandonment with financial and prestige losses to the service provider. In fact, at certain points, carrying on with the execution of an operation may be useless as a timely response will be impossible to obtain. This paper proposes a time-aware programming model for Web services that provides transparent timing failure detection. The paper illustrates the proposed model using a set of services specified by the TPC-App performance benchmark.
Education, Work and Wages in the UK

Abstract This paper is concerned with the relationship between education, wages and working behaviour. The work is partly motivated by the sharp distinction in the literature between the returns to education and the effect of wages on labour supply. Education is the investment that cumulates in the form of human capital while labour supply is the utilization rate of that stock. Yet, variation in education is usually the basis for identifying labour supply models - education is assumed to determine wages but not affect labour supply. Moreover, it is commonly assumed that the private rate of return to education can be found from the schooling coefficient in a log-wage equation. Yet, the costs of education are largely independent of its subsequent utilization but the benefits will be higher the greater the utilization rate. Thus the returns will depend on how intensively that capital is utilized and we would expect that those who intend to work least to also invest least in human capital. Indeed, the net (of tax liabilities and welfare entitlements) return to education will be a complex function of labour supply and budget constraint considerations. Here we attempt to model the relationship between wages, work, education and the tax/welfare system allowing for the endogeneity of education as well for the correlations between the unobservable components of wages and working behaviour. We use the estimates to simulate the effect of a new UK policy designed to increase education for children from low-income households.
Altered Resting-State Functional Connectivity in Cortical Networks in Psychopathy

Psychopathy is a personality disorder characterized by callous antisocial behavior and criminal recidivism. Here we examine whether psychopathy is associated with alterations in functional connectivity in three large-scale cortical networks. Using fMRI in 142 adult male prison inmates, we computed resting-state functional connectivity using seeds from the default mode network, frontoparietal network, and cingulo-opercular network. To determine the specificity of our findings to these cortical networks, we also calculated functional connectivity using seeds from two comparison primary sensory networks: visual and auditory networks. Regression analyses related network connectivity to overall psychopathy scores and to subscores for the “factors” and “facets” of psychopathy: Factor 1, interpersonal/affective traits; Factor 2, lifestyle/antisocial traits; Facet 1, interpersonal; Facet 2, affective; Facet 3, lifestyle; Facet 4, antisocial. Overall psychopathy severity was associated with reduced functional connectivity between lateral parietal cortex and dorsal anterior cingulate cortex. The two factor scores exhibited contrasting relationships with functional connectivity: Factor 1 scores were associated with reduced functional connectivity in the three cortical networks, whereas Factor 2 scores were associated with heightened connectivity in the same networks. This dissociation was evident particularly in the functional connectivity between anterior insula and dorsal anterior cingulate cortex. The facet scores also demonstrated distinct patterns of connectivity. We found no associations between psychopathy scores and functional connectivity within visual or auditory networks. These findings provide novel evidence on the neural correlates of psychopathy and suggest that connectivity between cortical association hubs, such as the dorsal anterior cingulate cortex, may be a neurobiological marker of the disorder.