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International audience; Background: Drug ocular toxicity is a field that requires attention. Clindamycin has been injected intravitreally to treat ocular toxoplasmosis, the most common cause of eye posterior segment infection worldwide. However, little is known about the toxicity of clindamycin to ocular tissues. We have previously showed non intraocular toxicity in rabbit eyes of poly(lactic-co-glycolic acid) (PLGA) implants containing clindamycin hydrochloride (CLH) using only clinical macroscotopic observation. In this study, we investigated the in vivo biocompatibility of CLH-PLGA implants at microscotopic, cellular and molecular levels.Methods: Morphology of ARPE-19 and MIO-M1 human retinal cell lines was examined after 72 h exposure to CLH-PLGA implant. Drug delivery system was also implanted in the vitreous of rat eyes, retinal morphology was evaluated in vivo and ex vivo. Morphology of photoreceptors and inflammation was assessed using immunofluorescence and real-time PCR.Results: After 72 h incubation with CLH-PLGA implant, ARPE-19 and MIO-M1 cells preserved the actin filament network and cell morphology. Rat retinas displayed normal lamination structure at 30 days after CLH-PLGA implantation. There was no apoptotic cell and no loss in neuron cells. Cones and rods maintained their normal structure. Microglia/macrophages remained inactive. CLH-PLGA implantation did not induce gene expression of cytokines (IL-1β, TNF-α, IL-6), VEGF, and iNOS at day 30.Conclusion: These results demonstrated the safety of the implant and highlight this device as a therapeutic alternative for the treatment of ocular toxoplasmosis.

International audience; Several architectures of Bulk Built-In Current Sensors (BBICS) were recently proposed to monitor transient faults induced on integrated circuits by radiation or malicious sources. This work compares for the first time all existing static BBICS architectures in terms of their sensitivities to detect transient faults. In addition, we propose a new static BBICS that presents better results of transient-fault detection sensitivity than previous sensor architectures.

Backgrounds Infant-directed speech (IDS) is part of an interactive loop that plays an important role in infants’ cognitive and social development. The use of IDS is universal and is composed of linguistic and emotional components. However, whether the emotional component has similar acoustics characteristics has not been studied automatically. Methods We performed a cross-cultural study using automatic social signal processing techniques (SSP) to compare IDS across languages. Our speech corpus consisted of audio-recorded vocalizations from parents during interactions with their infant between the ages of 4 and 18 months. It included 6 databases of five languages: English, French, Hebrew (two databases: mothers/fathers), Italian, and Brazilian Portuguese. We used an automatic classifier that exploits the acoustic characteristics of speech and machine learning methods (Support Vector Machines, SVM) to distinguish emotional IDS and non-emotional IDS. Results Automated classification of emotional IDS was possible for all languages and speakers (father and mother). The uni-language condition (classifier trained and tested in the same language) produced moderate to excellent classification results, all of which were significantly different from chance (P Conclusion The automated classification of emotional and non-emotional components of IDS is possible based on the acoustic characteristics regardless of the language. The results found in the cross-over condition support the hypothesis that the emotional component shares similar acoustic characteristics across languages.

International audience; A major limiting factor for prediction algorithms is the forecast of new or never before-visited locations. Conventional personal models utterly relying on personal location data perform poorly when it comes to discoveries of new regions. The reason is explained by the prediction relying only on previously visited/seen (or known) locations. As a side effect, locations that were never visited before (or explorations) by a user cause disturbance to known location's prediction. Besides, such explorations cannot be accurately predicted. We claim the tackling of such limitation first requires identifying the purpose of the next probable movement. In this context, we propose a novel framework for adjusting prediction resolution when probable explorations are going to happen. As recently demonstrated [1, 2], there exist regularities in returning and exploring visits. Moreover, the geographical occurrences of explorations are far from being random in a coarser-grained spatial resolution. Exploiting these properties, instead of directly predicting a user's next location, we design a two-step predictive framework. First, we infer an individual's next type of transition: (i) a return, i.e., a visit to a previously known location, or (ii) an exploration, i.e., a discovery of a new place. Next, we predict the next location or the next coarse-grained zone depending on the inferred type of movement. We conduct extensive experiments on three real-world GPS mobility traces. The results demonstrate substantial improvements in the accuracy of prediction by dint of fruitfully forecasting coarse-grained zones used for exploration activities. To the best of our knowledge, we are the first to propose a framework solely based on personal location data to tackle the prediction of visits to new places.

Resistive switching (RS) devices are promising forms of non-volatile memory. However, one of the biggest challenges for RS memory applications is the device-to-device (D2D) variability, which is related to the intrinsic stochastic formation and configuration of oxygen vacancy (VO) conductive filaments (CFs). In order to reduce the D2D variability, control over the formation and configuration of oxygen vacancies is paramount. In this study, we report on the Zr doping of TaO x -based RS devices prepared by pulsed-laser deposition as an efficient means of reducing the VO formation energy and increasing the confinement of CFs, thus reducing D2D variability. Our findings were supported by XPS, spectroscopic ellipsometry and electronic transport analysis. Zr-doped films showed increased VO concentration and more localized VOs, due to the interaction with Zr. DC and pulse mode electrical characterization showed that the D2D variability was decreased by a factor of seven, the resistance window was doubled, and a more gradual and monotonic long-term potentiation/depression in pulse switching was achieved in forming-free Zr:TaO x devices, thus displaying promising performance for artificial synapse applications.

Herbivory is ubiquitous. Despite being a potential driver of plant distribution and performance, herbivory remains largely undocumented. Some early attempts have been made to review, globally, how much leaf area is removed through insect feeding. Kozlov et al., in one of the most comprehensive reviews regarding global patterns of herbivory, have compiled published studies regarding foliar removal and sampled data on global herbivory levels using a standardized protocol. However, in the review by Kozlov et al., only 15 sampling sites, comprising 33 plant species, were evaluated in tropical areas around the globe. In Brazil, which ranks first in terms of plant biodiversity, with a total of 46,097 species, almost half (43%) being endemic, a single data point was sampled, covering only two plant species. In an attempt to increase knowledge regarding herbivory in tropical plant species and to provide the raw data needed to test general hypotheses related to plant–herbivore interactions across large spatial scales, we proposed a joint, collaborative network to evaluate tropical herbivory. This network allowed us to update and expand the data on insect herbivory in tropical and temperate plant species. Our data set, collected with a standardized protocol, covers 45 sampling sites from nine countries and includes leaf herbivory measurements of 57,239 leaves from 209 species of vascular plants belonging to 65 families from tropical and temperate regions. They expand previous data sets by including a total of 32 sampling sites from tropical areas around the globe, comprising 152 species, 146 of them being sampled in Brazil. For temperate areas, it includes 13 sampling sites, comprising 59 species. Thus, when compared to the most recent comprehensive review of insect herbivory (Kozlov et al.), our data set has increased the base of available data for the tropical plants more than 460% (from 33 to 152 species) and the Brazilian sampling was increased 7,300% (from 2 to 146 species). Data on precise levels of herbivory are presented for more than 57,000 leaves worldwide. There are no copyright restrictions. Please cite this paper when using the current data in publications; the authors request to be informed how the data is used in the publications.

Objectives Patients with impaired kidney function have a significantly slower decrease of procalcitonin (PCT) levels during infection. Our aim was to study PCT-guided antibiotic stewardship and clinical outcomes in patients with impairments of kidney function as assessed by creatinine levels measured upon hospital admission. Methods We pooled and analyzed individual data from 15 randomized controlled trials who were randomly assigned to receive antibiotic therapy based on a PCT-algorithms or based on standard of care. We stratified patients on the initial glomerular filtration rate (GFR, ml/min/1.73 m2) in three groups (GFR >90 [chronic kidney disease; CKD 1], GFR 15–89 [CKD 2–4] and GFR Results Mean duration of antibiotic treatment was significantly shorter in PCT-guided (n=2,492) compared to control patients (n=2,510) (9.5–7.6 days; adjusted difference in days −2.01 [95% CI, −2.45 to −1.58]). CKD 5 patients had overall longer treatment durations, but a 2.5-day reduction in treatment duration was still found in patients receiving in PCT-guided care (11.3 vs. 8.6 days [95% CI −3.59 to −1.40]). There were 397 deaths in 2,492 PCT-group patients (15.9%) compared to 460 deaths in 2,510 control patients (18.3%) (adjusted odds ratio, 0.88 [95% CI 0.78 to 0.98)]. Effects of PCT-guidance on antibiotic treatment duration and mortality were similar in subgroups stratified by infection type and clinical setting (p interaction >0.05). Conclusions This individual patient data meta-analysis confirms that the use of PCT in patients with impaired kidney function, as assessed by admission creatinine levels, is associated with shorter antibiotic courses and lower mortality rates.

We aimed to investigate the combined effects of aerobic exercise (EXE) and cocoa flavanol (COCOA) supplementation on performance, metabolic parameters, and inflammatory and lipid profiles in obese insulin-resistant rats. Therefore, 32 male Wistar rats (230–250 g) were fed a high-fat diet and a fructose-rich beverage for 30 days to induce insulin resistance. Next, the rats were randomized into four groups, orally administered placebo solution or COCOA supplementation (45 mg·kg−1), and either remained sedentary or were subjected to EXE on a treadmill at 60% peak velocity for 30 min, for 8 weeks. Blood samples and peripheral tissues were collected and processed to analyze metabolic and inflammatory parameters, lipid profiles, and morphological parameters. Supplementation with COCOA and EXE improved physical performance and attenuated body mass gain, adipose index, and adipocyte area. When analyzed as individual interventions, supplementation with COCOA and EXE improved glucose intolerance and the lipid profile reduced the concentrations of leptin, glucose, and insulin, and reduced homeostasis assessment index (all effects were p p p p

International audience; This paper presents an advanced characterization of the organic fraction of the top deposit layer collected in a French vertical flow treatment wetland (first stage) in operation in Brazil (two units with different organic deposit layer accumulation times), and compares the results with those obtained from studies in France. The organic and inorganic constituents of the samples collected were analysed by biological, chemical and thermochemical methods. The unit with the organic deposit with longer accumulation time (almost 10 years) was characterized as amature one (organicmatter - OM: 51.3 and 52.7%, thermal index - R-TGA: 0.79and 0.85, humification index - HI: 0.61 and 1.16, respectively for the depths of 0-5 cm and 5-10 cm). The unit with the deposit organic with less than three years of accumulation also presented characteristics of a mature deposit (OM: 61.2%, R-TGA: 0.79, HI: 1.01 for the depth of 0-5 cm), indicating a rapid mineralization of the deposit under the existing subtropical environment. Despite several differences in term of conception, hydraulic and mass loading rates and accumulation rates, the characteristics of the OM of Brazilian deposits were found to be quite similar to the French ones. (C) 2020 Elsevier B.V. All rights reserved.

International audience; Human mobility literature is limited in their ability to capture the novelty-seeking or the exploratory tendency of individuals. Mainly, the vast majority of mobility prediction models rely uniquely on the history of visited locations (as captured in the input dataset) to predict future visits. This hinders the prediction of new unseen places and reduces prediction accuracy. In this paper, we show that a two-dimensional modeling of human mobility, which explicitly captures both regular and exploratory behaviors, yields a powerful characterization of users. Using such model, we identify the existence of three distinct mobility profiles with regard to the exploration phenomenon-Scouters (i.e., extreme explorers), Routiners (i.e., extreme returners), and Regulars (i.e., without extreme behavior). Further, we extract and analyze the mobility traits specific to each profile. We then investigate temporal and spatial patterns in each mobility profile and show the presence of recurrent visiting behavior of individuals even in their novelty-seeking moments. Our results unveil important novelty preferences of people, which are ignored by literature prediction models. Finally, we show that prediction accuracy is dramatically affected by exploration moments of individuals. We then discuss how our profiling methodology could be leveraged to improve prediction.

The 2016 United States presidential election was marked by the abuse of targeted advertising on Facebook. Concerned with the risk of the same kind of abuse to happen in the 2018 Brazilian elections, we designed and deployed an independent auditing system to monitor political ads on Facebook in Brazil. To do that we first adapted a browser plugin to gather ads from the timeline of volunteers using Facebook. We managed to convince more than 2000 volunteers to help our project and install our tool. Then, we use a Convolution Neural Network (CNN) to detect political Facebook ads using word embeddings. To evaluate our approach, we manually label a data collection of 10k ads as political or non-political and then we provide an in-depth evaluation of proposed approach for identifying political ads by comparing it with classic supervised machine learning methods. Finally, we deployed a real system that shows the ads identified as related to politics. We noticed that not all political ads we detected were present in the Facebook Ad Library for political ads. Our results emphasize the importance of enforcement mechanisms for declaring political ads and the need for independent auditing platforms.

International audience; Herd immunity, one of the most fundamental concepts in network epidemics, occurs when a large fraction of the population of devices is immune against a virus or malware. The few individuals who have not taken countermeasures against the threat are assumed to have very low chances of infection, as they are indirectly protected by the rest of the devices in the network. Although very fundamental, herd immunity does not account for strategic attackers scanning the network for vulnerable nodes. In face of such attackers, nodes who linger vulnerable in the network become easy targets, compromising cybersecurity. In this paper, we propose an analytical model which allows us to capture the impact of countermeasures against attackers when both in-network as well as exogenous infections coexist. Using the proposed model, we show that a diverse set of potential attacks produces non-trivial equilibria, some of which go counter to herd immunity; e.g., our model suggests that nodes should adopt countermeasures even when the remainder of the nodes has already decided to do so. INDEX TERMS Cybersecurity, denial-of-service attacks, network epidemics, network security

International audience; JavaScript's portability across a vast ecosystem of browsers makes it today a core building block of the web. Yet, building efficient systems in JavaScript is still challenging. Because this language is so dynamic, JavaScript programs provide little information that just-in-time compilers can use to carry out safe optimizations. Motivated by this observation, we propose to guide the JIT compiler in the task of code specialization. To this end, we have augmented the language with an annotation that indicates which function call sites are likely to benefit from specialization. To support the automatic annotation of programs, we have introduced a novel static analysis that identifies profitable specialization points. We have implemented our ideas in JavaScriptCore, the built-in JavaScript engine for WebKit. The addition of guided specialization to this engine required us to change it in several non-trivial ways, which we describe in this paper. Such changes let us observe speedups of up to 1.7x on programs present in synthetic benchmarks.

During pregnancy, maternal metabolic diseases and hormonal imbalance may alter fetal beta cell development and/or proliferation, thus leading to an increased risk for developing type 2 diabetes in adulthood. Although thyroid hormones play an important role in fetal endocrine pancreas development, the impact of maternal hypothyroidism on glucose homeostasis in adult offsprings remains poorly understood. Here, we show that when fed normal chow, adult mice born to hypothyroid mothers were more glucose-tolerant due to beta cell hyperproliferation and increased insulin sensitivity. However, following high fat feeding, these offsprings became profoundly hyperinsulinemic, insulin-resistant and glucose-intolerant compared to controls from euthyroid mothers. Suggesting presence of epigenetic changes, altered glucose metabolism was maintained in a second generation of animals. As such, gestational hypothyroidism induces long-term and persistent alterations in endocrine pancreas function, which may have important implications for type 2 diabetes prevention in affected individuals.SIGNIFICANCEDiabetes and hypothyroidism are two major public health issues, affecting ∼ 9 and 2 % of the population worldwide, respectively. As master metabolic gatekeepers, the thyroid hormones play an essential role in metabolism and fetal development. However, gestation increases demand on the thyroid axis in the mother, leading to hypothyroidism in 0.5 % of pregnancies. Maternal hypothyroidism is associated with deficits in fetal growth that may lead to long-term alterations in metabolism in the offspring. We therefore sought to investigate the effects of gestational hypothyroidism on glucose metabolism in adult offspring and their descendants, and how this may predispose to diabetes development.

Semi-active and active suspensions improves the maneuverability, comfort and stability of intelligent vehicles. Closed loop controllers for the active/semi-active suspension systems improve their performance as the uncertainty level decrease. In this article we present a methodology to estimate the main components of the suspension system with a single and integrated observer (virtual sensor). The proposed observer (an embedded algorithm) provides the system state, the road profile, the normal tire-ground forces and the load transfer without requiring expensive sensors. The sensors required are standard in commercial vehicles with actuated or semi-actuated suspension. The observer structure is based on Kalman filter technique due to its simplicity and robustness. The vehicle dynamics is fully integrated with the quarter-car suspension model in order to boost the system observability, its response and constraining the estimation error. The proposal is validated at different operation points using a high fidelity automotive simulator, OKTAL-SCANeR™studio-Callas® and experimental data.

In this study, a new control method dedicated to modular multilevel converters (MMCs) is proposed. The approach is based on local communication between the individual controls of each submodule (SM). The local values of the capacitor voltages and the carrier-phase angles are shared between immediate neighbours achieving balancing of their capacitor voltages, and an automatic interleaving of the pulse-width modulation (PWM) signals. Using an inter-cell communication strategy, the number of required data exchanges with a centralised controller is greatly reduced. This method works for any number of SMs present in the converter and provides an integrated dynamic reconfiguration capability to enable or disable SMs during operation, without any additional consideration for the control-algorithm's implementation. Such a capability is not offered by classical MMC control methods using either PWM or nearest-level control strategies. Higher stability, robustness and larger bandwidth of the proposed method are first demonstrated through real-time simulation. The auto-interleaving of the PWM carriers and the capacitor-voltage balancing, provide fast responses and adequate accuracy. Experimental results are provided using a 600 V/3 kW/18 cells single-phase MMC demonstrator confirming the simulation results, and the advantages of this SM control strategy.

Background Vestibular-evoked myogenic potential triggered by galvanic vestibular stimulation (galvanic-VEMP) evaluates the motor spinal cord and identifies subclinical myelopathies. We used galvanic-VEMP to compare spinal cord function in individuals infected with human T-cell lymphotropic virus type 1 (HTLV-1) from asymptomatic status to HTLV-1-associated myelopathy (HAM). Methodology/Principal findings This cross-sectional study with 122 individuals included 26 HTLV-1-asymptomatic carriers, 26 individuals with possible HAM, 25 individuals with HAM, and 45 HTLV-1-seronegative individuals (controls). The groups were similar regarding gender, age, and height. Galvanic stimuli (duration: 400 ms; intensity: 2 mA) were applied bilaterally to the mastoid processes and VEMP was recorded from the gastrocnemius muscle. The electromyographic parameters investigated were the latency and amplitude of the short-latency (SL) and medium-latency (ML) responses. While SL and ML amplitudes were similar between groups, SL and ML latencies were delayed in the HTLV-1 groups compared to the control group (p

The Global System for Mobile Communications-Railway (GSM-R) system is currently deployed in Europe in order to ensure the interoperability of the high-speed trains. Knowing that data related to control and command will be transmitted to trains through this communication system, the immunity of the GSM-R system against electromagnetic disturbances on board trains has to be certified. After a background about the GSM-R communication system, we will present in detail the typical disturbances that can affect this system in the railway environment. Significant differences between these disturbances and the test signals defined in the current European electromagnetic compatibility standards will be highlighted. The criteria that can be employed to evaluate the immunity of the GSM-R transmissions will then be discussed. Finally, new test signals and immunity test bench will be presented in order to expose the GSM-R transmissions to noise scenarios representative of the railway environment. Different immunity results will be presented and analyzed.

International audience; This paper aims to present an original methodology to design an observer that can be used in idle speed control using a global command for the throttle and an individual command for the spark timing. To develop an efficient control, we need previously to estimate unmeasured parameters such as the torque generated by each cylinder. Two observers are proposed: the methodology for the first one is based on a discrete periodic Takagi-Sugeno approach, and the second one on an unknown input observer. Finally, some simulation results showing the performance of the developed methodology are provided. The model used for our simulation is based on a dynamic hybrid one.

International audience; This paper presents the main results of a Franco-Brazilian Research project entitled "Work, Innovation and Development". The aim is to conceptually consider work activity within sustainable development, and to contribute methodologically towards developing strategies for designing sustainable work systems. After a brief description of the factors and the dimensions that have contributed to the creation of ideas on sustainable development, we will put forward two main approaches for understanding work activity within the context of sustainability, these being: the durability of work activity and the development of work activities for sustainable development. Both approaches are presented and examples are given. This is followed by a discussion of the design of sustainable work systems that focuses particularly on the political and technical dimensions of project management.

International audience; Image categorization is one of the most competitive topic in computer vision and image processing. In this paper, we propose to use trained object and region detectors to represent the visual content of each image. Compared to similar methods found in the literature, our method encompasses two main areas of novelty: introducing a new spatial pooling formalism and designing a late fusion strategy for combining our rep-resentation with state-of-the art methods based on low-level descriptors, e.g. Fisher Vectors and BossaNova. Our experiments carried out in the challenging PASCAL VOC 2007 dataset reveal outstanding performances. When combined with low-level representations, we reach more than 67.6% in MAP, outperforming recently reported results in this dataset with a large margin.

Among various image retrieval approaches, the use of sketches lets one express a precise visual query with simple and widespread means. The challenge consists in finding a content representation that allows you to effectively compare sketches and images, while supporting efficient retrieval in order to make the system scalable. We put forward a sketch-based image retrieval solution where sketches and natural image contours are represented and compared in the wavelet domain. The relevant information regarding query sketches and image content has, thus, a compact representation that can be readily employed by an efficient index for retrieval by similarity. Furthermore, with this solution, the balance between effectiveness and efficiency can be easily modified in order to adapt to the available resources. A comparative evaluation with a state-of-the-art method on the Paris dataset and a subset with 535K images of the Image Net dataset shows that our solution can preserve effectiveness while being more than one order of magnitude faster.

International audience; This work presents a novel scheme of built-in current sensor (BICS) for detecting transient fault-based attacks of short and long duration as well as from different simultaneous sources. The new sensor is a single mechanism connected to PMOS and NMOS bulks of the monitored logic. The proposed protection strategy is also useful for improving any state-of-the-art Bulk-BICS from pairs of PMOS and NMOS sensors to single sensors.

Special Issue 23rd European Symposium of the Reliability of Electron Devices, Failure Physics and Analysis; International audience; This work presents a novel circuit for detecting transient faults in combinational and sequential logic. The detection mechanism features a built-in current sensor connected to the bulks of the monitored logic. The proposed circuit was optimized in terms of power consumption and enhanced with low-power sleep-mode. In addition, a calibration method for bulk built-in current sensors is presented. Overhead results indicate an increase of only 15% in power consumption which represents an improvement of factor 7 compared to similar existing sensors.

International audience; Soft error resilience is an increasingly important requirement of integrated circuits realized in CMOS nanometer technologies. Among the several approaches, Bulk Built-in Current Sensors (BBICS) offer a promising solution as they are able to detect particle strikes immediately after its occurrence. Based on this idea we demonstrate a novel modular BBICS (mBBICS) that tackles the main problems of these integrated sensors - area, leakage, and robustness. Simulations based on a predictive nanometer technology indicate competitive response times for high performance applications at the cost of 25 % area overhead and very low power penalty. Thereby, all simulated particle strikes that lead to transient faults could be detected. Additionally reliability analysis proved the robustness of the proposed mBBICS against wide variations of temperature and process parameters.

Part 1: Long and Short Papers; International audience; CEIHC is an acronym that stands for Council for Human-Computer Interaction. This council is composed by members of the Brazilian Computer Society (SBC) and its main goal is to promote the field of Human-Computer Interaction in Brazil. In this paper, we detail the missions assigned to the CEIHC and its recent activities. Moreover, challenges for the development of this field and future activities are discussed in this paper.