Miracle-dz/UniFAR-FTUs huggingface dataset:
raitement de l’hépatite C : gestion des effets econdaires reatment of hepatitis C: Therapeutic anagement

M c m n e 2 m u d d d e traitement de l’hépatite chronique C par la combinaison e l’interféron pégylé et de la ribavirine, permet d’obtenir nviron 50 % d’éradication virale durable définie par un ARN u VHC indétectable par PCR, six mois après la fin du traiement. Ce traitement s’accompagne de nombreux effets econdaires qui entraînent fréquemment une diminution de a posologie, voire un arrêt des traitements. Dans les deux rands essais pivots de la bithérapie pégylée, une diminuion de doses a été observée chez 33 à 42 % des patients et n arrêt des traitements chez 10 à 13 % des patients [1—3]. L’observance du traitement par interféron et/ou ribaviine étant un élément indispensable au succès thérapeuique [4,5], il faut éviter les effets secondaires à l’origine es réductions ou des arrêts thérapeutiques surtout chez es patients ayant une réponse virologique précoce à la emaine 12. Ainsi, dans les essais pivots, la possibilité de oursuivre le traitement à pleines doses chez les patients yant une réponse virologique précoce permet d’espérer 5 % de réponse virologique prolongée contre 48 % chez les atients recevant moins de 80 % de la dose pour 80 % de a durée de traitement. Une réduction de dose ne permet ’obtenir que 67 % de réponse virologique prolongée et un
Multiphase Simulation of Aluminum A356 Metal Foam Formation Process by Lattice Boltzmann Method

: In this study simulation of a two phase bubble nucleation and growth in aluminum A356 in form grip metal foam process was investigated by two steps. At first for modifying current shanchem methos two inline bubble interaction is studied and then two inline bubble integration detail was investigated. Finaly more than two bubble interaction and integration in molten metal environment studied. Results show an interesting difference in bubbles interactions in molten metal compared two other environments. For this purpose at first, for bubble dynamics in molten metals modeling shan-chen model is used. After discretization of problem equation and all alghorithms impelementation, lattice Boltzmann method was used to numerically solve process discrited equations in all domain. By using the developed code in this research cellular structure of metal foam after solidification is predicted in different temperature. Simulated porous structures were compared with metallographic samples of foamed A356 aluminum at 675, 725 and 775 . The results visualy are very similar to actual samples and also the compesion between virtual and actual samples shows best fit in distribution and mean bubbles size between simulation results of current code and metallographic results of actual sample at 675 . Therefore, the current code could be a useful tool for prediction of aluminum foams cellular structure.
Joint Action, Adaptation, and Entrainment in Human-Robot Interaction

Research in joint action focuses on the psychological, neurological, and physical mechanisms by which humans collabo-rate with other agents, and overlaps with several domains related to human-robot interaction. The development of artificial systems that can support or emulate the requisite aspects of joint action could lead to improved human-robot team performance as well as improvements in subjective metrics (e.g., trust). This workshop highlights theoretical and technical considerations about human-robot joint action and real-time adaptation, with a particular focus on socio-motor entrainment, showing how the emulation of psychological mechanisms (e.g., emotion, intention signaling, mirroring) can lead to improved performance. We will invite speakers with backgrounds in robotics, neuroscience and psychol-ogy, as well as speakers with a focus in adjacent works, such as in human-robot coordinated dance, alignment, or synchronization. We will call for papers that utilize the theory of joint-action in an interactive human-robot context. We will also call for position papers on the application of the theory of joint action to robotics, with a heavy focus on psychological mechanisms that could potentially be emulated or adapted to a human-robot context. Participants will have the opportunity to brainstorm considerations and techniques that would be applicable to joint action inspired works through breakout sessions with the aim to lead to new and improved collaborations across fields.
Sensitivity of Trust Scales in the Face of Errors

Trust between humans and robots is a complex, multifaceted phenomenon and measuring it subjectively and reliably is challenging. It is also context dependent and so choosing the right tool for a specific study can prove difficult. This paper aims to evaluate various trust measures and compare them in terms of sensitivity to changes in trust. This is done by comparing two validated trust questionnaires (TAS and MDMT) and one single item assessment in a COVID-19 triage scenario. We found that trust measures are equivalent in terms of sensitivity to changes in trust. Furthermore, the study showed that trust could be measured similarly through a single item assessment in comparison with other lengthier scales, in scenarios with distinct breaks in trust. This finding would be of use for experiments where lengthy questionnaires are not appropriate, such as those in the wild.
Demand Response Design of Domestic Heat Pumps

This paper proposes an emergency-based demand response (DR) controller of domestic heat pump (DHP) units based on an estimated frequency of the UK electricity in 2035. The normal pattern of DHP demand is adjusted to maintain system frequency within its limit using a linear model of power and temperature inside low-carbon houses, while considering consumer comfort. Simulation results show that the proposed DR design of static/dynamic frequency-controlled DHPs will increase the amount of power reserve by 75% and the amount of electricity market by 70%, as compared to their values of the current frequency response by flexible loads.
IVO Robot: A New Social Robot for Human-Robot Collaboration

We present a new social robot named IVO, a robot capable of collaborating with humans and solving different tasks. The robot is intended to cooperate and work with humans in a useful and socially acceptable manner to serve as a research platform for long-term Social Human-Robot Interaction. In this paper, we proceed to describe this new platform, its communication skills and the current capabilities the robot possesses, such as, handing over an object to or from a person or performing guiding tasks with a human through physical contact. We describe the social abilities of the IVO robot, furthermore, we present the experiments performed for each robot's capacity using its current version.
Time-division Multiplexing Automata Processor

Automata Processor (AP) is a special implementation of non-deterministic finite automata that performs pattern matching by exploring parallel state transitions. The implementation typically contains a hierarchical switching network, causing long latency. This paper proposes a methodology to split such a hierarchical switching network into multiple pipelined stages, making it possible to process several input sequences in parallel by using time-division multiplexing. We use a new resistive RAM based AP (instead of known DRAM or SRAM based) to illustrate the potential of our method. The experimental results show that our approach increases the throughput by almost a factor of 2 at a cost of marginal area overhead.
Individual Differences of Children with Autism in Robot-assisted Autism Therapy

Research has recognized the importance of individ-ual differences of children with Autism Spectrum Disorder (ASD) that require interventions to meet their heterogeneous needs. This relatively large-scale study investigates a robot-assisted autism therapy (RAAT) with 34 children with diverse forms of ASD and Attention Deficit Hyperactivity Disorder (ADHD). We conducted a multi-session study with multi-purposeful activities targeting the socio-emotional abilities of children in a rehabilitation setting. We found a number of quantitative results suggesting various autism-related and demographic differences such as diverse forms of ASD, co-occurrence of ADHD, verbal skills, and age groups. The main findings are: 1) severity of ASD forms may not predict intervention outcomes but instead the co-occurrence of ADHD with LFA diagnosis may negatively impact social smiling; 2) verbal children were more generally engaged and less aggressive with the robot than non-verbal children whose curiosity rose over sessions; and 3) younger children (3.4 y.o.) showed more affection, while older children (7–12 y.o.) were better engaged through speaking more words and having longer engagement and eye contact with the robot.
‘Cool glasses, where did you get them?” Generating Visually Grounded Conversation Starters for Human-Robot Dialogue

Visually situated language interaction is an important challenge in multi-modal Human-Robot Interaction (URI). In this context we present a data-driven method to generate situated conversation starters based on visual context. We take visual data about the interactants and generate appropriate greetings for conversational agents in the context of HRI. For this, we constructed a novel open-source data set consisting of 4000 URI-oriented images of people facing the camera, each augmented by three conversation-starting questions. We compared a baseline retrieval-based model and a generative model. Human evaluation of the models using crowdsourcing shows that the generative model scores best, specifically at correctly referencing visual features. We also investigated how automated metrics can be used as a proxy for human evaluation and found that common automated metrics are a poor substitute for human judgement. Finally, we provide a proof-of-concept demonstrator through an interaction with a Furhat social robot.
Fano resonance based optical modulator reaching 85% modulation depth

In this paper, we demonstrate the combination of nematic liquid crystal with a binary silicon nanohole array to realize a high performance Fano resonance based optical modulator. The simulations using a finite difference time domain method reveal that the sharp Fano profile in the binary array originates from the interaction of the in-phased and anti-phased lattice collective resonance hybridized through lattice coupling effects. Experimental results agree very well with the simulations and demonstrate the strong dependence of the Q factor and spectral contrast of the resonance on the radius difference of the two nanohole arrays. Infiltrated with nematic liquid crystal, E7, the Fano profile can be dynamically and continuously tuned by an applied voltage, and an unprecedented modulation depth up to 85% is achieved.
Are Robots That Assess Their Partner's Attachment Style Better At Autonomous Adaptive Behaviour?

Interacting with partners that understand our desire of closeness or space and adapt their behavior accordingly is an important factor in social interaction, since the perception of others is a fundamental prerequisite for reliable interaction. In human-human interaction (HHI), this information can be inferred by a person's attachment style - a person's characteristic way of forming relationships, modulating behavior (i.e ways to give or seek support) and, on a biological level, their hormone dynamics. Enabling robots to understand their partners' attachment style could enhance robot's perception of partners and help them on how adapt behaviors during an interaction. In this direction, we wish to use the relationship between attachment style and cortisol, to equip the humanoid robot iCub with an internal cortisol-inspired framework that allows it to infer the participant's attachment style and drives it to adapt its behavior accordingly.
Inclusive'R'Stories: An Inclusive Storytelling Activity with an Emotional Robot

Storytelling has the potential to be an inclusive and collaborative activity. However, it is unclear how interactive storytelling systems can support such activities, particularly when considering mixed-visual ability children. In this paper, we present an interactive multisensory storytelling system and explore the extent to which an emotional robot can be used to support inclusive experiences. We investigate the effect of the robot's emotional behavior on the joint storytelling process, resulting narratives, and collaboration dynamics. Results show that when children co-create stories with a robot that exhibits emotional behaviors, they include more emotive elements in their stories and explicitly accept more ideas from their peers. We contribute with a multisensory environment that enables children with visual impairments to engage in joint storytelling activities with their peers and analyze the effect of a robot's emotional behaviors on an inclusive storytelling experience.
Design and Analysis of Novel Actuation Mechanism with Controllable Stiffness

Actuators intended for human–machine interaction systems are usually designed to be mechanically compliant. Conventional actuators are not suitable for this purpose due to typically high stiffness. Advanced powered prosthetic and orthotic devices can vary their stiffness during a motion cycle and are power-efficient. This paper proposes a novel actuator design that modulates stiffness by means of a flexible beam. A motorized drive system varies the active length of the cantilever beam, thus achieving stiffness modulation. New large deflection formulation for cantilever beams with rolling contact constraints is used to determine the moment produced by the actuator. To validate the proposed solution method, an experiment was performed to measure large static deformations of a cantilever beam with the same boundary conditions as in the actuator design. The experiments indicate excellent agreement between measured and calculated contact forces between beam and roller, from which the actuator moment is determined.
^Äëíê~âK Pengesan alkohol atau lebih dikenali sebagai ØÄêÉ~íÜ~äóòÉê∞ memainkan peranan penting dalam memantau kepekatan alkohol dalam aliran darah seseorang. Projek ini adalah merekebentuk dan membangunkan ØÄêÉ~íÜ~äóòÉê∞ yang disambungkan ke suis pencucuhan EáÖåáíáçå

^Äëíê~ÅíK= A breath alcohol detector or better known as a breathalyzer plays a vital role in monitoring alcohol concentration in a person’s bloodstream. This project involves the design and development of a breathalyzer device which controls an ignition switch. The hardware modules include the PIC16F877A microcontroller, alcohol sensor, LCD panel and ignition switch circuitry. The software component includes the programming and source code which is implemented via the PIC microcontroller. Upon assembly, the system is able to detect the alcohol concentration in a person’s breath sample and displays the detected amount in terms of BAC (Blood Alcohol Concentration) percentage on the LCD panel. According to the amount, the system decides whether to enable or disable the ignition switch circuitry.
Characterization of palm sap harvested in Songkhla province , Southern Thailand

The purpose of this study was to characterise the quality of palm sap after harvested in Songkhla province, southern Thailand. Ten palm sap samples were analyzed. The results showed differed in physical and chemical quality among samples (P<0.05). The results showed range of L*, a* and b* values between 61.49 to 87.53, 1.46 to 3.52 and 12.41 to 19.31, respectively. The turbidity was ranged from 39.56% to 79.95%. The pH value was varied from 4.19 to 5.23, while total acidity was ranged from 0.27% to 0.93%. The total soluble solids ranged from 10.80 to 17.40OBrix. Total and reducing sugars were varied in a range of 10.36% to 16.94% and 0.88% to 3.56%, respectively. The sucrose, glucose and fructose contents were found vary in a range from 9.29% to 17.44%, 0.50% to 1.85% and 0.50% to 1.81%, respectively. Protein content varied from 0.31-0.39 mg/g. Ethanol was also found in all samples that indicating the fermentation. All results indicated a large variation quality of palm sap although they harvested in the same production area in Songkhla province. The different quality of palm sap was mainly due to the fermentation of sugars by the activity of microorganisms during palm sap collecting time.
Understanding minds: Different functions and different disorders? The contribution of psychotherapy research

Abstract Disorders in the ability to understand mental states (metacognition) have an important role in psychopathology. Some clinicians talk of a generalised impairment of metacognition and others of malfunctioning of specific aspects. We compare two contrasting hypotheses. We call the first one ‘fast running’ hypothesis according to which metacognition is a single function, like speed in running. The second one is the ‘tennis playing’ hypothesis according to which metacognition is composed, like the ability to play tennis, of various, relatively independent skills, which can get impaired selectively. We reviewed the main theories and researches on metacognition and, therefore, we outlined a research programme based on them, describing the contribution made by the research on the psychotherapeutic process to this programme.
Lawrence Berkeley National Laboratory Recent Work Title Comparison of sugar content for ionic liquid pretreated Douglas-fir woodchips and forestry residues Permalink

Background: The development of affordable woody biomass feedstocks represents a significant opportunity in the development of cellulosic biofuels. Primary woodchips produced by forest mills are considered an ideal feedstock, but the prices they command on the market are currently too expensive for biorefineries. In comparison, forestry residues represent a potential low-cost input but are considered a more challenging feedstock for sugar production due to complexities in composition and potential contamination arising from soil that may be present. We compare the sugar yields, changes in composition in Douglas-fir woodchips and forestry residues after pretreatment using ionic liquids and enzymatic saccharification in order to determine if this approach can efficiently liberate fermentable sugars. Results: These samples were either mechanically milled through a 2 mm mesh or pretreated as received with the ionic liquid (IL) 1-ethyl-3-methylimidazolium acetate [C2mim][OAc] at 120°C and 160°C. IL pretreatment of Douglas-fir woodchips and forestry residues resulted in approximately 71-92% glucose yields after enzymatic saccharification. X-ray diffraction (XRD) showed that the pretreated cellulose was less crystalline after IL pretreatment as compared to untreated control samples. Two-dimensional nuclear magnetic resonance spectroscopy (2D-NMR) revealed changes in lignin and hemicellulose structure and composition as a function of pretreatment. Mass balances of sugar and lignin streams for both the Douglas-fir woodchips and forestry residues throughout the pretreatment and enzymatic saccharification processes are presented. Conclusions: While the highest sugar yields were observed with the Douglas-fir woodchips, reasonably high sugar yields were obtained from forestry residues after ionic liquid pretreatment. Structural changes to lignin, cellulose and hemicellulose in the woodchips and forestry residues of Douglas-fir after [C2mim][OAc] pretreatment are analyzed by XRD and 2D-NMR, and indicate that significant changes occurred. Irrespective of the particle sizes used in this study, ionic liquid pretreatment successfully allowed high glucose yields after enzymatic saccharification. These results indicate that forestry residues may be a more viable feedstock than previously thought for the production of biofuels.
Tree Growth and Wood Formation - Applications of Anisotropic Surface Growth

A three-dimensional framework into which models of tree growth may be placed is proposed and explained by considering surface evolution of anisotropic stembranch-obstacle systems. In order to accommodate as many different models as possible, the surface evolution law considered is quite general in that it may be dependent on time, the vector(s) describing the anisotropy, local curvatures or s’es, concentrations of growth hormones; and may be different for the stem, branches, etc. The motivation for this is to produce a framework allowing general mathematical models of tree surface growth in three dimensions to be formulated and numerically analysed. The robust, computationally stable and efficient framework for describing the evolution is based upon the fast marching method. The basic method is extended to situations where different surfaces (stem, branch, obstacle) evolve according to different growth rules, and a method for tracking the evolution of the vectors describing the anisotropy is detailed. This anisotropy (the wood’s grain) is modelled using an incompressible fluid and explicit solutions are found for the situation where the stem contains a dead branch, and for the region around a live branch–stem junction. The evolution of curves in two dimensions is also explored analytically to provide insight into the more complicated 3D case. Explicit formulae valid for any evolution law are given for the evolution of: distances along the curve; the local curvature; and the average magnitude of the curvature. Two-dimensional analogues of tree growth past obstacles with curvatureand hormone-driven growth are solved analytically and display expected characteristic behaviours. The results of the numerical simulations are visualised using MATLAB. Three cases are tested: a stem with a cluster of 5 branches; the growth of a stem around Institute of Information and Mathematical Sciences, Massey University Auckland, Albany, Private Bag 102 904, North Shore Mail Centre, NZ. Email j.l. mann@massey.ac.nz Mathematics and Statistics Department, University of Canterbury, Private Bag 4800, Christchurch, NZ. Email M.Plank@math.canterbury. ac.nz Department of Mathematics, University of Queensland, Brisbane Q4072, Australia. Email awilkins@maths.uq. edu.au