Miracle-dz/UniFAR-FTUs huggingface dataset:
ReViSe: Remote Vital Signs Measurement Using Smartphone Camera

Remote Photoplethysmography (rPPG) is a fast, effective, inexpensive and convenient method for collecting biometric data as it enables vital signs estimation using face videos. Remote contactless medical service provisioning has proven to be a dire necessity during the COVID-19 pandemic. We propose an end-to-end framework to measure people’s vital signs including Heart Rate (HR), Heart Rate Variability (HRV), Oxygen Saturation (SpO2) and Blood Pressure (BP) based on the rPPG methodology from the video of a user’s face captured with a smartphone camera. We extract face landmarks with a deep learning-based neural network model in real-time. Multiple face patches also called Regions-of-Interest (RoIs) are extracted by using the predicted face landmarks. Several filters are applied to reduce the noise from the RoIs in the extracted cardiac signals called Blood Volume Pulse (BVP) signal. The measurements of HR, HRV and SpO2 are validated on two public rPPG datasets namely the TokyoTech rPPG and the Pulse Rate Detection (PURE) datasets, on which our models achieved the following Mean Absolute Errors (MAE): a) for HR, 1.73Beats-Per-Minute (bpm) and 3.95bpm respectively; b) for HRV, 18.55ms and 25.03ms respectively, and c) for SpO2, an MAE of 1.64% on the PURE dataset. We validated our end-to-end rPPG framework, ReViSe, in daily living environment, and thereby created the Video-HR dataset. Our HR estimation model achieved an MAE of 2.49bpm on this dataset. Since no publicly available rPPG datasets existed for BP measurement with face videos, we used a dataset with signals from fingertip sensor to train our deep learning-based BP estimation model and also created our own video dataset, Video-BP. On our Video-BP dataset, our BP estimation model achieved an MAE of 6.7mmHg for Systolic Blood Pressure (SBP), and an MAE of 9.6mmHg for Diastolic Blood Pressure (DBP). ReViSe framework has been validated on datasets with videos recorded in daily living environment as opposed to less noisy laboratory environment as reported by most state-of-the-art techniques.
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1

Stein Variational Gradient Descent (SVGD) is an algorithm for sampling from a target density which is known up to a multiplicative constant. Although SVGD is a popular algorithm in prac-tice, its theoretical study is limited to a few recent works. We study the convergence of SVGD in the population limit, (i.e., with an inﬁnite number of particles) to sample from a non-logconcave target distribution satisfying Talagrand’s inequality T1. We ﬁrst establish the convergence of the algorithm. Then, we establish a dimension-dependent complexity bound in terms of the Kernelized Stein Discrepancy (KSD). Unlike existing works, we do not assume that the KSD is bounded along the trajectory of the algorithm. Our approach relies on interpreting SVGD as a gradient descent over a space of probability measures.
Cut-Elimination for Full Intuitionistic Linear Logic

We describe in full detail a solution to the problem of proving the cut elimination theorem for FILL, a variant of (multiplicative and exponential-free) Linear Logic introduced by Hyland and de Paiva. Hyland and de Paiva's work used a term assignment system to describe FILL and barely sketched the proof of cut elimination. In this paper, as well as correcting a small mistake in their paper and extending the system to deal with exponentials, we introduce a different formal system describing the intuitionistic character of FILL and we provide a full proof of the cut elimination theorem. The formal system is based on a notion of dependence between formulae within a given proof and seems of independent interest. The procedure for cut elimination applies to (classical) multiplicative Linear Logic, and we can (with care) restrict our attention to the subsystem FILL. The proof, as usual with cut elimination proofs, is a little involved and we have not seen it published anywhere.
Environmental Affection-Driven English Tense Analysis: A Healthcare Exercise-Based Corpus Case Study over Public English Environment

Most international academic papers are written in English, and the use of tenses in English academic papers often follows some conventional rules. Automatically extracting and analyzing English tenses in scientific papers have begun to attract researchers' attention for the global environment. In the analysis of the English tense of scientific papers, consider that the neural network model that combines attention mechanism and sequential input network such as Long Short-Term Memory (LSTM) network has a long training time, low extraction accuracy, and cannot parallelize text input. We propose an environmental affection-driven English tense analysis model, which includes an attention mechanism and LSTM model and conducts a temporal analysis of English texts based on an affective computing model. In this paper, our proposed method is verified based on the self-built healthcare exercise-based corpus over public English environment. By comparison, the experimental results show that the method proposed in this paper has better performance than ordinary Convolutional Neural Network (CNN), Support Vector Machine (SVM), and LSTM based on attention mechanism.
ANALYSIS OF DIFFERENCE SCHEMES IN MODELLING OF GYROTRON EQUATION

Gyrotrons are microwave sources whose operation is based on the stimulated cyclotron radiation of electron oscillating in a static magnetic field. Gyrotron devices are now able to generate several orders of magnitude as much power at millimeter wavelength as classical microwave tubes, and can operate at frequencies higher than are convenietly available from oter types of tube. Gyrotron oscillators can have a wide application, including radars, advanced communication systems, high-resolution spectroscopy, etc. However, the main application of powerful gyrotrons is electron cyclotron resonance plasma heating in tokomaks and stellerators and the noninductive current drive in tokomaks. Competition between the amplitudes of nonstationary gyrotron oscillations in different modes can be described by the system of Schredingers equations in complex plane supplemented by the initial conditions and by the 3rd kind boundary conditions. For numerical solving we used grid method. We analyzed different two and three layer difference schemes (Richardson, Simpson, Richtmeier-Morton). It appears that for solving the problem it is possible to use only three layer Richtmeier-Morton scheme and the implicit two layer scheme with corresponding parameter.
Experimental and Numerical Study on the Wake Field of a 76000 DWT Panamax Bulker

In the present study, the wake field of a ship model was measured using a Stereo towed under water particle image velocimetry (PIV) system to identify the flow characteristics around a hull with a high block coefficient. Meanwhile, a numerical model is established based on computational fluid dynamics to provide expansion information for the experimental measurement. Detached Eddy Simulation (DES) method is employed to track the main features in the wake field. The bare hull wake was measured for a 76000 DWT Panamax Bulker model, at different Froude number of 0.056, 0.100, 0.145 and 0.167 based on the length between perpendiculars (LPP). The measurement results show that the 76000 DWT Panamax Bulker has a similar U shaped stern as in a large vessel, such as the KVLCC, and incoming flows through the U shaped stern gradually produce a strong stern bilge vortex. The axial velocity of the propeller plan has a "hook-shaped" velocity contour at the rotating bilge vortex. In addition, under the bilge vortex, there is a propeller boss cap vortex in the opposite direction of rotation of the bilge vortex, which is close to the longitudinal section in the center disc of the ship. The presence of the hook-like bilge vortex and the counter-rotating boss cap vortex has a positive effect on improving the rotation efficiency of the propeller. The numerical results are consistent with the experimental results. By the analysis of three-dimensional flow fields, the same velocity contours (U shaped and hook-shaped) and similar vortex structures are observed. The numerical calculation has advantages in performing the spatial evolution of the complex wake vortex structure. The combination of numerical calculation method and the experimental method could enrich the wake field study for large vessels, and make the results more reliable.
37 New Insights on How to Treat Patent Ductus Arteriosus

The ductus arteriosus (DA) must be closed after birth for the establishment of adult circulation. Extremely preterm infants, however, frequently have patent ductus arteriosus (PDA), which associates with significant morbidity and mortal-ity. At birth, the separation of the fetus from its maternal environment constitutes a dramatic change for the infant. Initiation of respiration changes serum composition and oxygen tension resulting in the closure of the DA. We found that serum osmolality was significantly decreased early after birth in rats, and that the hypo-osmolality sensor transient receptor potential melastatin (TRPM) 3 had increased expression in the rat DA compared to the aorta. Our data suggest that a decrease in serum osmolality promotes DA closure via TRPM3 and that an increase in osmolality dilates the DA. For extremely preterm infants, recent recommenda-tions include immediate amino acid supplementation. We examined plasma amino acid composition and found an association between low glutamate concentration and PDA. Our data suggest that glutamate induces DA contraction through the AMPA receptor GluR-mediated noradrenaline production. Based on these data, maintaining proper levels of serum osmolality and amino acid composition may improve the therapeutic outcome of PDA in extremely preterm infants.
Probiotic potentials of the silkworm gut symbiont Enterococcus casseliflavus ECB140, a promising L‐tryptophan producer living inside the host

L‐tryptophan is an essential aromatic amino acid for the growth and development of animals. Studies about enteric L‐tryptophan‐producing bacteria are scarce. In this report, we characterized the probiotic potential of Enterococcus casseliflavus ECB140, focusing on its L‐tryptophan production abilities.
A Critical review focusing the effect of ingredients on the textural properties of plant-based meat products.

Plant-based meat alternatives have been studied for decades, but have recently gained more attraction in the food industries and research communities. Concern about animal welfare, health, environment and moral beliefs acts as a driving force for the growth of plant-based meat products. The most challenging task in the development of meat analog is to imitate the texture of conventional meat products. The fabrication of plant-based meat product requires a wise selection and formulation of ingredients to perfectly mimic the fibrous structure of meat. Top-down and bottom-up approaches are the two most commonly used structuring techniques for the preparation of plant-based meat products. Development of comminuted meat product is easy as compared to the whole-muscle type plant-based meat products. Several plant-based ingredients such as texturized and non-texturized proteins, fats, binding agents, flavoring and coloring agents accompanied with different processing techniques (extrusion, shear cell, wet spinning, electrospinning, and freeze structuring) are used in the preparation of meat analogs. This paper aims to discuss the impact of ingredients on the textural properties of plant-based meat products.
Design and Analysis of Triple-Band Multi Slotted Microstrip Patch Antenna

In this paper, a multi slotted microstrip patch antenna design has been proposed. The characteristics of the antenna are obtained in terms of return loss, gain and bandwidth. It is observed that the new proposed configuration can operate in three different frequency bands with a good amount of bandwidth i.e. bandwidth of 21.12% at 1.1GHz frequency band, bandwidth of 11.65% at 2.11 GHz and bandwidth of 13.05% at 2.76GHz frequency band . The resonating behavior in different frequency bands makes this antenna structure suitable for different types of applications with an antenna gain of 6.163dBi and antenna efficiency of 86.82%. The substrate material with relative permittivity of 4.2 and loss tangent of 0.0013 is used in this proposed antenna. The designing and simulation of the antenna structure is done over IE3D simulation software version 15.02.
Porous grains and polarization of light: the silicate features

The discrete dipole approximation method is used to compute the polarization due to dichroic extinction caused by porous non-spherical dust grains. We investigate especially the influence of porous structures on the polarization of light in the 10 and 18 μm silicate features. Here, we found that compact oblate grains give a better fit to the 10 and 18 μm observed polarization of the massive young stellar object AFGL 2591 than prolate grains. The increase of the porosity results in an increase of the 18 to 10 μm peak polarization ratio as desired for fitting the observed polarization with the BN object, but also in a shift of the peak polarization to longer wavelengths
On the two types of ENSO

From 1950 to 1988, 10 ENSO (El Nino-Southern Oscillation) events have occurred. These ENSO events are defined by using the Southern Oscillation index (SOI) and the sea surface temperature (SST) anomaly in the central equatorial Pacific. The ENSO events are classified based on the positive anomaly length of the SST time series: about a year with one northern winter, or two or more years with two northern winters. The shorter one (BO-ENSO) terminates in the following year of the occurrence, and the longer one (LF-ENSO) terminates in the two years after the occurrence. The occurrence and termination of both types have strong phase preference to the seasonal cycle of the mean field, i. e. , the seasons between northern winter and northern summer. The occurrence years of each type are as follows; the years of BO-ENSO are 1951, '53, '63, '65, '72, and 1982 (6 cases) and the years of LF-ENSO are 1957, '68, '76, and 1986 (4 cases). Since the occurrence, development, and termination of the both types of ENSO have a seasonal phase preference, composite analysis is used to explain the difference between the two types of ENSO clearly. In the northern winter immediately after the BO-ENSO occurrence, the wind stress anomaly field has a specific clockwise eddy off the east coast of the Philippines. This eddy affects the ocean through Ekman pumping and plays an important role in ENSO termination. The most significant difference between a BO-ENSO and an LF-ENSO is whether this eddy appears or not.
A soft robot based on the swimming biomechanics of cephalopods

This paper describes a first prototype of a cephalopod-like biomimetic aquatic robot. The robot replicates the ability of cephalopods to travel in the aquatic environment by means of pulsed jet propulsion. In contrast with existing works on pulsed-jet propulsion, in this work the focus is placed in designing a faithful biomimesis of the structural and functional components of the Octopus vulgaris, hence the robot is shaped as an exact copy of these animals and is composed, to a major extent, of soft materials. In addition, the propelling mechanism is driven by a compression/expansion cycle analogous to that found in cephalopods. This work offers a hands-on experience of the swimming biomechanics of chephalopods and an insight into a yet unexplored new mode of aquatic propulsion. Keywords—Soft robots, AUV, biomimetic propulsion, biorobotics.
Method and system for engine starter / generator

Method and system for engine starter / generator is provided. The starter / generator system, and a three-phase squirrel cage induction machine, includes a three-phase inverter / converter that is electrically coupled to the three-phase squirrel cage induction machine. The starter / generator system, further, a three-phase inverter / converter electrically coupled bidirectional DC-DC converter during a starting mode, a plurality of phase currents to the induction motor, the rotor without using a sensor It includes digital control board configured to determine the angle. During start mode, the logic of the digital control within the substrate, a starter / generator system an induction motor, constitute the combination of the three-phase DC-AC inverter and the DC-DC boost converter, also during the power generation mode, the digital control board the logic of the internal, the starter / generator system the induction generator, make up to a combination of the three-phase AC-DC converter and DC-DC buck converter. FIELD 1
Ultra-Thin Graphene Foam Based Flexible Piezoresistive Pressure Sensors for Robotics

– Over recent year, robotics has made a drastic impact in a variety of different markets. Although having many advantages from, safer workspace to speed and efficiency there are several drawbacks all ranging from their lack of ability to execute functions and tasks easily performed by humans. This is mainly due to their lack of ability to implement touch and haptic feedback. In this work, we show the use and applicability of ultra-thin graphene foam (GRF), with polydimethylsiloxane (PDMS) embedded into and over the structure, as an active layer in piezoresistive based pressure sensors for use in robotic touch sensing applications. It has been demonstrated in this work that thin GRF/PDMS-GRF consisting of a few layers of graphene is able to present sensitivity to pressures within the range of 0 to >100kPa. Although pressure sensitivities are not yet comparable to those of current work, it must be noted that the GRF used in this work is much thinner in comparison, consisting of only several layers of graphene.
Data driven user feature prediction in mobile applications based on multi-channel CNN

With the continuous development of mobile positioning technology and smart phones, users can use smart phones to obtain and share location information of themselves and various surrounding points of interest (POI) anytime, anywhere, and share their own activity information, thus forming a location-based social network (LBSN). A large amount of user data is generated in LBSN. How to quantitative analyze the effects of context to manager’s view, how to extract the hidden user feature through the analysis of user data is of important research significance for the intelligent analysis of user characteristics. In this paper, first, a muti-dimensional user feature construction method is proposed, which extracts user feature from different influencing factors. Second, the fitness of user to a feature is analyzed. Third, a unified model is used to characterize this applicability. The method can promote the transformation from user data to user feature and help solve the problem of “explosive data but poor knowledge”. Experimental verification shows that the method is feasible and can realize the mining of muti-dimensional feature of users.
Image generation based on multi-channel encoder and dual attention module

Aiming at the requirements of appearance content generation of industrial products, this paper proposes an intelligent appearance product generation network architecture based on multi-channel encoder and dual attention module. Through multiple encoders, our network can learn the semantic information at different levels of the image, and then intelligently generate the appearance product image through the learned semantic information. Our model takes the line diagram as the input and can also input the sample image of the image to be generated. The network can generate appearance products that are consistent with the contour of the line graph and the color of the sample graph. The experimental results of the algorithm are qualitatively and quantitatively evaluated to verify that the algorithm can effectively generate appearance product images with high quality.
Effect mechanism of senior manger incentive and enterprise performance under vertical dyad linkage characteristics differences

With the development of global economy, the enterprise competition intensifies. As the main operator of an enterprise, senior manager’s operation behaviors and decisions can largely affect the future development of the enterprise, which becomes the core competitive factors of the enterprise. But during the actual production and operation process, with the outstanding agent contradiction between managers and shareholders, enterprises carry out incentive measures on senior managers one after another for alleviating this kind of contradiction and lowering the agent costs. The classic upper echelon theory (UET) helps people in understanding the internal relationship of the characteristics of senior managers and enterprises decision-making behavior and then how they affect enterprise performance. However, former researches on the relationship between senior manager team’s characteristics and enterprise performance are all based on the average level or heterogeneity of the whole manager team. There are little studies on the relationship of the incentive and performance based on the vertical dyad linkage (VDL) characteristic differences of the chairman and other senior managers. So this paper proposes a research on the effects of senior managers’ incentive and enterprise performance, and discusses the relationship of chairman-senior manager team’s VDL characteristics and the way to adjust the incentive and performance. By analyzing the sample data of public enterprises in Shanghai and Shenzhen during 2014-2018, this paper probes into the relationship of incentive and performance based on theory analysis and case studies, and the regulation on the relationship between the VDL characteristics of chairman-senior managers.
Preconception of folic acid supplementation knowledge among Ethiopian women reproductive age group in areas with high burden of neural tube defects: a community based cross-sectional study

Abstract Periconceptional folic acid supplementation is effective in the prevention of neural tube defects (NTDs). The aim of the present study was to determine the level of knowledge about the benefits of preconceptional folic acid supplementation in a sample of women of childbearing age and its associated factors. A cross-sectional community-based study design was carried out on a total of 441 women of childbearing age. Questionnaires included knowledge of preconception of folic acid supplements and socio-demographic characteristics. The χ2 was used to compare categorical data. Multivariate logistic regression was used to isolate the predictive variables and examined individually by calculating the adjusted odds ratio. Statistical significance is declared as P < 0·05. We found that 35·1 % (n 155) knew preconceptional folic acid supplementation could prevent NTDs, and 3·8 % (n 17) knew the right time to take preconceptional folic acid supplementation and only 1·7 % (n 7) who had a history of NTDs. Attended secondary education (OR 2·7; 95 % CI 1·1, 6·0, P = 0·017), governmental employee (OR 3·5; 95 % CI 2·3, 17·8, P < 0·001), current pregnancy status (OR 3·0; 95 % CI 2·1, 4·2, P = 0·043), history of visiting the antenatal care service during pregnancy (OR 2·9; 95 % CI 1·07, 7·8, P = 0·03), history of taking folic acid supplement (OR 4·5; 95 % CI 2·9, 7·1, P < 0·001) were associated. More than half of the participant women did not know about preconception of folic acid supplements that reduce the risk of NTDs. Identification of the level of knowledge on preconception of folic acid may allow for targeted educational or other interventions to further encourage folic acid use.