Miracle-dz/UniFAR-FTUs huggingface dataset:
Génération automatique de gestes co-verbaux à partir d ’ Image Schemas

L’un des plus grands défis du développement d’Agents Conversationnels Animés est celui de leur donner la capacité de produire de façon autonome des comportements verbaux et non verbaux qui soient coordonnés et porteurs de sens. Les relations entre ces moyens de communications sont complexes et bien souvent simplifiées par des correspondances directes dans les modèles qui ont été conçus précédemment. Dans cet article, nous proposons une correspondance intermédiaire que nous appliquons aux gestes métaphoriques d’abord, avec la perspective de l’étendre aux autres gestes représentatifs ensuite. Tirant parti de travaux précédents en analyse du texte, en sciences cognitives et en production de gestes co-verbaux, nous présentons un système qui articule la parole et les gestes autour d’une représentation commune : les Image Schemas. Nous définissons les composants de ce système, en insistant sur les étapes menant à la production des gestes métaphoriques, et nous présentons quelques résultats préliminaires pour illustrer le potentiel de notre approche. Nous concluons l’article en passant en revue les perspectives d’évolution et d’évaluation de notre modèle.
Development of a hand exoskeleton system for index finger rehabilitation

In order to overcome the drawbacks of traditional rehabilitation method, the robot-aided rehabilitation has been widely investigated for the recent years. And the hand rehabilitation robot, as one of the hot research fields, remains many challenging issues to be investigated. This paper presents a new hand exoskeleton system with some novel characteristics. Firstly, both active and passive rehabilitative motions are realized. Secondly, the device is elaborately designed and brings advantages in many aspects. For example, joint motion is accomplished by a parallelogram mechanism and high level motion control is therefore made very simple without the need of complicated kinematics. The adjustable joint limit design ensures that the actual joint angles don’t exceed the joint range of motion (ROM) and thus the patient safety is guaranteed. This design can fit to the different patients with different joint ROM as well as to the dynamically changing ROM for individual patient. The device can also accommodate to some extent variety of hand sizes. Thirdly, the proposed control strategy simultaneously realizes the position control and force control with the motor driver which only works in force control mode. Meanwhile, the system resistance compensation is preliminary realized and the resisting force is effectively reduced. Some experiments were conducted to verify the proposed system. Experimentally collected data show that the achieved ROM is close to that of a healthy hand and the range of phalange length (ROPL) covers the size of a typical hand, satisfying the size need of regular hand rehabilitation. In order to evaluate the performance when it works as a haptic device in active mode, the equivalent moment of inertia (MOI) of the device was calculated. The results prove that the device has low inertia which is critical in order to obtain good backdrivability. The experiments also show that in the active mode the virtual interactive force is successfully feedback to the finger and the resistance is reduced by one-third; for the passive control mode, the desired trajectory is realized satisfactorily.
Mechanical Superheterodyne and Its Use for Low Frequency Vibrations Sensing

Mechanical micro and nano scale devices are being increasingly used for realizing signal processing and logic or computing functions, which until recently were traditionally performed by electronics. Extremely low-power consumption and robustness make mechanical micro structures attractive for implementation in autonomous distributed sensing systems. Heterodyning is one of the most important and indispensable signal processing techniques. In microelectromechanical heterodynes, the frequency mixing is commonly achieved using nonlinear forces, which often limits scalability and the operational range of the device and may lead to undesired dynamic behavior. In this paper, we introduce an approach allowing purely mechanical realization of the superheterodyne principle. The frequency mixing is based on the inertial coupling between two vibratory modes of the device. The architecture is distinguished by linearity of the mixing term with respect to the input inertial and the local oscillator signals. We demonstrate the mixing effect both theoretically and experimentally, using the devices fabricated from a silicon on insulator (SOI) wafer by deep reactive ion etching (DRIE). We show the applicability of the device as a mechanical low frequency vibration sensor. The substrate vibration frequencies down to 25 Hz were measured using a device with a fundamental mode frequency of 4700 Hz.
A Passive, Skin-Attachable Multi-Sensing Patch Based on Semi-Liquid Alloy Ni-GaIn for Wireless Epidermal Signal Monitoring and Body Motion Capturing

Wearable integrated systems that rely on liquid metal commonly require an extremely complicated, high-cost fabrication process, while lacking multiple sensing functions without conductive wires connected to external electronic systems. A multi-sensing wearable patch independent from sophisticated manufacturing method and excessive use of wires has yet to be developed. Herein, we introduce a wireless, battery-free, and skin-attachable patch with multiple sensing capacities, utilizing a low-budget, less time-consuming and design-customizable fabrication method. In an effort to achieve our goal, the general sensing system architecture is promoted, which consists of a semi-liquid alloy Ni-GaIn based strain sensor and a co-designed near-field-communication (NFC) tag integrating thermistor, photoresistor, as well as sensor interface circuits, enabling energy-autonomous power supply and wireless data transmission. In human volunteers, the patch was mounted on the skin surface to demonstrate real-time temperature and light intensity signal monitoring. Further evaluation of body motion capturing involved finger bending and swallowing, demonstrating the feasibility of practical applications in different scenarios. Continuous and simultaneous multi-type signal sensing using the wearable patch should enrich the dimensions of measurements of body response to daily activities, unveiling the potential for remote human health monitoring, advanced human–machine interfaces, and other applications of interest.
Preparation and Characterization of Curcumin Nanoemulgel Utilizing Ultrasonication Technique for Wound Healing: In Vitro, Ex Vivo, and In Vivo Evaluation

Hydrogels being a drug delivery system has great significance particularly for topical application in cutaneous open wound. Its specific physicochemical properties such as non-adhesiveness, moisture retention, exudate absorption, and gas permeability make them ideal as a drug delivery vehicle for wound healing application. Further, curcumin (a natural bioactive) was selected as a therapeutic agent to incorporate into the hydrogel system to design and develop nanogel pharmaceutical products for wound healing. Although, curcumin possesses remarkable anti-inflammatory, antioxidant, and anti-infective activity along with hastening the healing process by acting over the different stages of the wound healing process, but its poor biopharmaceutical (low aqueous solubility and skin penetrability) attributes hamper their therapeutic efficacy for skin applications. The current investigation aimed to develop the curcumin-loaded nanogel system and evaluated to check the improvement in the therapeutic efficacy of curcumin through a nanomedicine-based approach for wound healing activity in Wistar rats. The curcumin was enclosed inside the nanoemulsion system prepared through a high-energy ultrasonic emulsification technique at a minimum concentration of surfactant required to nanoemulsify the curcumin-loaded oil system (Labrafac PG) having droplet size 56.25 ± 0.69 nm with polydispersity index 0.05 ± 0.01 and negatively surface charge with zeta potential −20.26 ± 0.65 mV. It was observed that the impact of Smix (surfactant/co-surfactant mixture) ratio on droplet size of generated nanoemulsion is more pronounced at lower Smix concentration (25%) compared to the higher Smix concentration (30%). The optimized curcumin-loaded nanoemulsion was incorporated into a 0.5% Carbopol® 940 hydrogel system for topical application. The developed curcumin nanoemulgel exhibited thixotropic rheological behavior and a significant (p < 0.05) increase in skin penetrability characteristics compared to curcumin dispersed in conventional hydrogel system. The in vivo wound healing efficacy study and histological examination of healed tissue specimen further signify the role of the nanomedicine-based approach to improve the biopharmaceutical attributes of curcumin.
The library as soft-power actor: A review

This narrative review pursues an understanding of the relationship of libraries to the concepts of soft power and public and cultural diplomacy. The cross-disciplinary nature of the study required that the search approach include literature from both the International Relations and Library and Information Science disciplines. The analysed literature reveals three key gaps. First, research explicitly addressing the topic of ‘libraries and soft power’ is scarce. Second, the little Library and Information Science literature that addresses libraries and soft power rarely considers contemporary discourse. Third, the literature often has an implicit liberal institutionalist perspective, overlooking negative or hegemonic aspects of soft power. Given that soft power is considered increasingly relevant for representing national interests, understanding libraries’ roles and impact in international relations is significant and warrants further research.
Magnetic fields during the early stages of massive star formation – I. Accretion and disc evolution

We present simulations of collapsing 100 M⊙ mass cores in the context of massive star formation. The effect of variable initial rotational and magnetic energies on the formation of massive stars is studied in detail. We focus on accretion rates and on the question under which conditions massive Keplerian discs can form in the very early evolutionary stage of massive protostars. For this purpose, we perform 12 simulations with different initial conditions extending over a wide range in parameter space. The equations of magnetohydrodynamics (MHD) are solved under the assumption of ideal MHD. We find that the formation of Keplerian discs in the very early stages is suppressed for a mass-to-flux ratio normalized to the critical value μ below 10, in agreement with a series of low-mass star formation simulations. This is caused by very efficient magnetic braking resulting in a nearly instantaneous removal of angular momentum from the disc. For weak magnetic fields, corresponding to μ≳ 10, large-scale, centrifugally supported discs build up with radii exceeding 100 au. A stability analysis reveals that the discs are supported against gravitationally induced perturbations by the magnetic field and tend to form single stars rather than multiple objects. We find protostellar accretion rates of the order of a few 10−4 M⊙ yr−1 which, considering the large range covered by the initial conditions, vary only by a factor of ∼ 3 between the different simulations. We attribute this fact to two competing effects of magnetic fields. On the one hand, magnetic braking enhances accretion by removing angular momentum from the disc thus lowering the centrifugal support against gravity. On the other hand, the combined effect of magnetic pressure and magnetic tension counteracts gravity by exerting an outward directed force on the gas in the disc thus reducing the accretion on to the protostars.
Leaf Area Calculation Models for Vines Based on Foliar Descriptors

In the case of foliar area studies on vines, with a large number of determinations, a simple, fast, sufficiently accurate and low-cost method is very useful. The typology of leaves on the vine is complex, characterized by several descriptive parameters: median rib; secondary venations of the first and second order; angles between the median rib and the secondary venations; sinuses; length and width of the leaf. The present study aimed to evaluate models for calculating the leaf area based on descriptive parameters and KA (KA as the surface constant used to calculate the leaf area) for six vine cultivars, ‘Cabernet Sauvignon’ (CS), ‘Muscat Iantarnîi’ (MI), ‘Muscat Ottonel’ (MO), ‘Chasselas’ (Ch), ‘Victoria’ (Vi) and ‘Muscat Hamburg’ (MH). The determined KA surface constants had subunit values (0.91 to 0.97), except for the cultivars ‘Muscat Iantarnîi’ and ‘Muscat Ottonel’ where the surface constant KA2 (in relation to the second-order secondary venations) had supraunitary values (1.07 and 1.08, respectively). The determination of the leaf area was possible under different conditions of statistical accuracy (R2 = 0.477, p = 0.0119, up to R2 = 0.988, p < 0.001) in relation to the variety and parametric descriptors considered. The models obtained from the regression analysis facilitated a more reliable prediction of the leaf area based on the elements on the left side of the leaf, in relation to the median rib, compared to those on the right. The accuracy of the results was checked on the basis of minimum error (ME) and confirmed by parameters R2, p and RMSE.
Monthly Forecast of Indian Southwest Monsoon Rainfall Based on NCEP's Coupled Forecast System

The monthly forecast of Indian monsoon rainfall during June to September is investigated by using the hindcast data sets of the National Centre for Environmental Prediction (NCEP)’s operational coupled model (known as the Climate Forecast System) for 25 years from 1981 to 2005 with 15 ensemble members each. The ensemble mean monthly rainfall over land region of India from CFS with one month lead forecast is underestimated during June to September. With respect to the inter-annual variability of monthly rainfall it is seen that the only significant correlation coefficients (CCs) are found to be for June forecast with May initial condition and September rainfall with August initial conditions. The CFS has got lowest skill for the month of August followed by that of July. Considering the lower skill of monthly forecast based on the ensemble mean, all 15 ensemble members are used separately for the preparation of probability forecast and different probability scores like Brier Score (BS), Brier Skill Score (BSS), Accuracy, Probability of Detection (POD), False Alarm Ratio (FAR), Threat Score (TS) and Heidke Skill Score (HSS) for all the three categories of forecasts (above normal, below normal and normal) have been calculated. In terms of the BS and BSS the skill of the monthly probability forecast in all the three categories are better than the climatology forecasts with positive BSS values except in case of normal forecast of June and July. The “TS”, “HSS” and other scores also provide useful probability forecast in case of CFS except the normal category of July forecast. Thus, it is seen that the monthly probability forecast based on NCEP CFS coupled model during the southwest monsoon season is very encouraging and is found to be very useful.
A ternary complex comprising transportin1, Rab8 and the ciliary targeting signal directs proteins to ciliary membranes

The sensory functions of cilia are dependent on the enrichment of cilium-resident proteins. Although it is known that ciliary targeting signals (CTSs) specifically target ciliary proteins to cilia, it is still unclear how CTSs facilitate the entry and retention of cilium-resident proteins at the molecular level. We found that non-ciliary membrane reporters can passively diffuse into cilia through the lateral transport pathway, and the translocation of membrane reporters through the ciliary diffusion barrier is facilitated by importin binding motifs and domains. Screening known CTSs of ciliary membrane residents uncovered that fibrocystin, photoreceptor retinol dehydrogenase, rhodopsin and retinitis pigmentosa 2 interact with transportin1 (TNPO1) through previously identified CTSs. We further discovered that a new ternary complex, comprising TNPO1, Rab8 and a CTS, can assemble or disassemble under the guanine nucleotide exchange activity of Rab8. Our study suggests a new mechanism in which the TNPO1–Rab8–CTS complex mediates selective entry into and retention of cargos within cilia.
Designing a Framework for Data Quality Validation of Meteorological Data System

In the current era of data science, data quality has a significant and critical impact on business operations. This is no different for the meteorological data encountered in the field of meteorology. However, the conventional methods of meteorological data quality control mainly focus on error detection and null-value detection; that is, they only consider the results of the data output but ignore the quality problems that may also arise in the workflow. To rectify this issue, this paper proposes the Total Meteorological Data Quality (TMDQ) framework based on the Total Quality Management (TQM) perspective, especially considering the systematic nature of data warehousing and process focus needs. In practical applications, this paper uses the proposed framework as the basis for the development of a system to help meteorological observers improve and maintain the quality of meteorological data in a timely and efficient manner. To verify the feasibility of the proposed framework and demonstrate its capabilities and usage, it was implemented in the Tamsui Meteorological Observatory (TMO) in Taiwan. The four quality dimension indicators established through the proposed framework will help meteorological observers grasp the various characteristics of meteorological data from different aspects. The application and research limitations of the proposed framework are discussed and possible directions for future research are presented. key words: data quality, meteorological data, meteorological observatory, total quality management, data warehouse
43 RA3 Radiation-induced graft copolymerization of vinyl monomer onto polyolefin polymeric substrate : preparation and characterization

In this work, the synthesize of graft copolymers containing a functional group (carboxylic group) through mutual radiation grafting method for acrylic acid monomer onto high/ low density polyethylene substrate was investigated. The optimum conditions for radiation grafting were studied. In this regard, the effect of solvent type, monomer concentration, inhibitor concentration and irradiation dose on the grafting yield was determined.Some selected properties of the prepared graft copolymers were studied to illustrate the possibility of practical use in the industrial applications such as: water desalination, ion exchange, separation.etc. These properties were: water uptake, mechanical andelectrical propertiesandthe structure of the grafted membranes were investigated using Fourier transform infra-red (FTIR) analysis. The optimum conditions for mutual radiation grafting were achieved using acetone as asolvent,FeCl3as inhibitor with concentration 0.1 % (wt/wt),acrylic acid as monomer with concentration 30 % (wt/wt) and irradiation dose 20 kGy.
1 HOW WELL DO CURRENT MODELS REPRESENT CHEMICAL AND PHYSICAL PROCESSES IN THE UPPER TROPOSPHERE AND LOWER STRATOSPHERE ?

There remain significant uncertainties in understanding the changes in atmospheric chemical and physical processes affecting ozone and other constituents in the upper troposphere and lower stratosphere (UT/LS), the first few kilometers above and below the tropopause. In recent years, through new insights in atmospheric dynamics coupled with an increase in constituent measurements, the understanding of the UT/LS has evolved greatly. It is no longer adequate to think of the tropopause as being a sharp boundary and transport barrier between the troposphere and stratosphere (Rosenolf, 1995). Wave-induced zonal forces in the extratropical stratosphere induce a global-scale meridional circulation in which mass is pulled upward and poleward in the tropics and pushed downward in the extratropics (e.g., Hoor et al., 2002), transporting air from the troposphere to the stratosphere, and then from the stratospheric “overworld” to the lowermost stratosphere, the “middleworld”, where more rapid transport is possible between the stratosphere and troposphere along isentropic surfaces. Logan (1999) suggested that ozone in the lowermost stratosphere builds up during winter in the extratropics as a result of downward transport in the large-scale meridional circulation, and reaches a minimum during autumn as a result of exchange with lower latitudes and the troposphere in spring and summer. During all seasons, there is a transition zone near the tropopause that contains air characteristic of both the troposphere and the stratosphere. The extraction of the net transport still remains uncertain, but may occur either by isentropic transport caused by wave breaking (Holton et al., 1995) or by diabatic cross-isentropic transport associated with synoptic baroclinic disturbances in the subtropical region (Rood et al., 1997).
Monodeuterated methane in the outer solar system. III. Its abundance of Titan

The 3nv2 band of CH3D has been detected in spectra of Titan recorded at 1.6 microns with the Fourier transform spectrometer at the 4 m telescope of the Kitt Peak National Observatory. A value of the CH3D/Ch4 mixing ratio is obtained from a comparison between the observed Titan spectra and synthetic spectra. This value is about 2 times higher than the value measured on Uranus (de Bergh et al. 1981, 1986) and about 6 times higher than on Jupiter and on Saturn (Courtin et al. 1984; de Bergh et al.). The value found on Titan for D/H in methane is comparable to the D/H ratio measured in terrestrial H2O. 23 references.
Machine learning based aircraft arrival / departure registrations Version of June 4 , 2017

The aviation industry is vastly growing, as travelling by air is more common today than it ever was. However due too inefficiency and lack of communication of accurate flight information between airports, congestion and delays are occurring on a daily basis. While Collaborative Decision Making (CDM) is developed by Euro control to address this issue, the problem of transmitting accurate flight information near real time is not yet solved. Adecs Airinfra did a first attempt at automatic landing and departure registration by a fixed rule based algorithm to address this issue. However, this algorithm has limitations that cannot be solved with tweaking and tuning. In this work, we aim to create a replacement based on machine learning models. In this thesis we present the complete process, starting from raw real world data, turning this into labelled data up to the point where we define a validation method and present the final results. We managed to create a machine learning landing / departure detection system with up to 99% precision and recall for arrivals, and for departures we managed to get a precision of 94% against 98% recall.