Miracle-dz/UniFAR-FTUs huggingface dataset:
Disturbance observer-based backstepping control for permanent magnet synchronous motor

In this paper, consider the effect of the load inertia fluctuation for surface-mounted permanent magnet synchronous motor (SPMSM), the problem of dynamic response of SPMSM is studied. A backstepping control algorithm based on disturbance observer (DO) is proposed. Firstly, according to the equation of motor speed, the minimum-order observer is established to observe the disturbance value of load inertia, Furthermore, using the estimated disturbance value to identify the load inertia. Then, the backstepping controller based on the identification results is designed to achieve the position tracking control of SPMSM. Finally, simulation results show the effectiveness of the proposed algorithm.
Sentiment analysis by identifying the speaker's polarity in Twitter data

One of the most important services for the users using the internet is the Micro blogging which has evolved to be very important in today's life. A huge number of internet users share feelings on various parts of their life regularly in some of the most common sites, such as, Twitter, Face book etc. Some of the politicians will be eagerly waiting to understand whether the individuals and the people are interested to support the respective politicians and the political parties. Social associations may ask opinion of the individuals and their conclusion on current civil arguments. This data can be fetched from the social blogs like twitter, since the twitter users express the feelings on the various parts of the life consistently. Here we use the tools for sentiment analysis of the data by providing some of the tweet data as input and obtaining the respective scores as output.
Design of a Thin Film Photodetector with Angular Sensitivity for Optical Micro-Encoder

In this paper, we describe a directional thin film photodetector with the objective of optical micro-encoder application. A directional photodetector with a high absorption efficiency at a specific angle of incident light is based on guided-mode resonance (GMR) of subwavelength grating. The angular sensitivity of photodetector is designed to satisfy the condition that the diffracted light from the scale grating incidents at the angle of the resonance. A numerical calculation and actual device performance are presented.
Combination of Analytical Models and Order Reduction Methods for System Level Modeling of Gyroscopes

Within the design process of complex sensor systems different physical effects and electronic circuits for signal processing have to be analyzed. A simulation of the entire system including models for micromechanics and field effects based on partial differential equations is often impossible or too expensive concerning computing time. Furthermore, many details of component behavior calculated by Finite Element Method (FEM) are not needed at system level. In this paper we describe an approach for system level simulation of sensor systems and its application to a gyro sensor system.
Union membership and job satisfaction: Initial evidence from French linked employer–employee data

A number of contradictory theoretical hypotheses have been advanced about the relationship between unionisation and job satisfaction. In this article, new evidence of the effects of unionisation on job satisfaction is presented using French linked employer–employee data from the 2011 REPONSE Survey. A bivariate probit model is estimated to deal with the reverse causation issue that many previous studies have failed to account for. The results indicate that union members are less satisfied with their jobs than non-members, even after taking into account certain individual characteristics, job attributes and workplace characteristics. However, after controlling for endogeneity of union membership, we find that the difference in job satisfaction between unionised and non-unionised workers disappears because of a selection effect in workplaces covered only by a national/sectoral collective agreement and attributable to a causal effect arising from union's voice function in workplaces covered by a local agreement.
Double-layered coordinated resource allocation in multi-cell MIMO-OFDMA systems

In this paper, we aim to formulate the coordinated beam-forming problem for a multi-cell MIMO-OFDMA system by an optimization method. The formulation has been done for downlink channel, using double layer pre-coder and post-coder matrices in both transmitter and receiver. We have proposed an iterative algorithm to find the proper beam-forming matrices in such a way that minimizes the mean square error (MMSE) in internal layer and maximizes the total system throughput in external layer. Our proposed algorithm guarantees the MMSE at each user in each subcarrier and also maximizes the sum rate of multi-cell system. The simulation results show that the proposed method leads to a greater throughput in comparison with conventional algorithms and provides substantial performance gains compared to single-cell optimization.
Physical Properties and Printability Characteristics of Mechanical Printing Paper with LWC

Acrylic styrene latex was used in combination with nanoclay at two different loading levels and calcium carbonate at four loading levels to improve printability characteristics of mechanical printing paper. SEM micrographs indicated filling of the voids and covering of the printing paper surface. Different rheological behavior of the coating that contained two coating pigments, in addition to their different viscosity, was clearly evident. Calcium carbonate was more advantageous due to the reduction in pumping costs. Paper coating improved roughness and air-permeability properties. Water absorption of the coated paper was decreased by at least 50% which significantly affects the dimensional stability of the paper during web offset printing. Specular gloss and print density were significantly increased at a 1% probability level by coating the surface of the paper. Contrary to the control sample, picking of the paper (which is of great importance after printing and for linting on the printing cylinder) did not occur.
An IoT based weather information prototype using WeMos

The Internet of Things (IOT) describes the interconnection of devices and people through the traditional internet and social networks for various day-to-day applications like weather monitoring, healthcare systems, smart cities, irrigation field, and smart lifestyle. IOT is the new revolution of today's internet world which monitors live streaming of the entire world's status like temperature, humidity, thunderstorm, earthquake, floods etc. that can stagger an alarm to human life. This paper proposes a low-cost weather monitoring system which retrieves the weather condition of any location from the cloud database management system and shows the output on an OLED display. The proposed system uses an ESP8266-EX microcontroller based Wemos D1 board and it is implemented on Arduino platform which is used to retrieve the data from the cloud. The main objective of this paper is to view weather conditions of any location and allows to access the current data of any station.
Formalizing Delegation Authorization of Workflow Using Graph Transformation with Variables

Supporting delegation mechanisms in workflow systems is receiving increasing interest from the research community. Using graph transformation as a formalism to specify access control has several advantages, from the intuition provided by the visual aspect to the precise semantics and the systematic verification of constraints. Using graph transformation with variables yields very expressive rules that are still comprehensible. After reviewing the basic notations of graph transformation with variables, this article presents specification formalisms for workflow delegation policies using graph transformation with variables. The authorization states are represented by graphs and state transition by graph transformation with variables. The proposed formalization provides an intuitive description for the manipulation of graph structures as they occur in workflow delegation and a precise specification of consistency conditions on graphs and graph transformations. We specifies a type graph to represents the type information in the graph transformation for workflow delegation, a set of rule schemes to build the system states and sets of positive and negative constraints to specify wanted and unwanted framework. Keywords-graphy transformatoin; delegation;workflow;
Attenuation Assessment for NDT of Austenitic Stainless Steel Welds

Abstract . Multipass welds made in 316-L stainless steel are specific welds of primary circuit in nuclear power stations. Their complex structure complicates ultrasonic assessment of their structural integrity : they present a heterogeneous anisotropy that deteriorates the propagation of waves (deviation and division of the beam, attenuation…). Polycrystalline materials as stainless steel are composed of numerous discrete grains whose elastic properties are anisotropic and crystallographic axes are differently oriented. When an acoustic wave propagates through such a material, it is attenuated by scattering at grain boundaries. Provided the elastic constants of the different homogeneous domains of the weld, the finite-element model ATHENA (EDF & INRIA) predicts path and velocity of ultrasonic waves, but attenuation has still to be integrated into the code. Our work aims to provide realistic input data of attenuation compatible with the existing model in studying mechanisms leading to attenuation in anisotropic structures. The value of this attenuation depends on the size, shape, orientations distribution and anisotropy of the grains. When grains are equiaxed and randomly oriented, the average elastic properties are isotropic. But in the case of multipass welds made of austenitic stainless steel, crystalline growth mechanisms acting during the solidification lead to a macroscopic texture, with elongated and preferentially oriented grains. Thus their structure is anisotropic, and ultrasonic attenuation is a function of the propagation direction. First, experimental ultrasonic measurements obtained by means of classical techniques are presented and compared with theoretical predictions of the literature. Then other experimental data obtained by mapping the incident and transmitted ultrasonic fields are compared with modelling based on the plane waves angular spectrum decomposition of the beam in order to evaluate the energy loss experienced by each plane wave component of the beam.
Hypogonadism in Metabolic Syndrome: Cause or Consequence? Lesson from Genetic Hypogonadism and Disorders of Gender Identity

Hypogonadism is frequently associated with metabolic syndrome and testosterone levels correlate with parameters which are part of the cluster defining the syndrome itself. Different studies suggest a positive role of testosterone replacement therapy, but different aspects (including the definition of hypogonadism, especially in aging male, and the modality of treatment) still require confirmation. A model to explore the role of testosterone in influencing the beginning and course of the syndrome is early hypogonadism, due to genetic causes (both primary or secondary hypogonadism); moreover, few data are reported in transsexuals, despite the debate on biological bases of gender indentity, and the influence of pharmacological treatment before and after surgical sex reversal. We present here a review of literature and some paradigmatic cases, that seem to reinforce the concept of hypogonadism as a causative factor of metabolic syndrome.
High pressure x-ray diffraction study of the volume collapse in Ba24Si100 clathrate

The high pressure stability of the silicon type-III clathrate Ba24Si100 has been studied by x-ray diffraction (XRD) up to a maximum pressure of 37.4 GPa. The high pressure behavior of this Si type-III clathrate appears to be analogous to the structural type-I parent Ba8Si46. An isostructural volume collapse is observed at ~23 GPa, a value higher than for Ba8Si46 (13-15 GPa). The crystallinity of the structure is preserved up to the maximum attained pressure without amorphization, which appears to be in contradiction with the interpretation given in a Raman spectroscopy study [Shimizu et al., Phys. Rev. B 71, 094108 (2005)]. Nevertheless, the XRD analysis shows the appearance of a type-III disordered nanocaged-based crystalline structure after the volume collapse. Moreover, we find that the volume collapse transformation is (quasi)reversible after pressure release. Additionally, a low pressure transition first evidenced by Raman spectroscopy is also observed in our XRD study at 5 GPa: The variation of the isotropic thermal factors of Ba atoms shows a clear discontinuity at this pressure while the average positions of Ba atoms remain identical.
Preprint Autonomous Testing for 3 D-ICs with IEEE Std . 1687

IEEE Std. 1687, or IJTAG, defines flexible serial scan-based architectures for accessing embedded instruments efficiently. In this paper, we present a novel test architecture that employs IEEE Std. 1687 together with an efficient test controller to carry out 3D-IC testing autonomously. The test controller can deliver parallel test data for the IEEE Std. 1687 structures and the cores under test, and provide required control signals to control the whole test procedure. This design can achieve at-speed, autonomous and programmable testing in 3D-ICs. Experimental results show that the additional area and test cycle overhead of this architecture is small considering its autonomous test capability.
Promoting Active Living and Healthy Eating among Inner-City Youth through Community Health Workers: From Clinic to Neighborhood

The promotion of physical activity and healthy eating to prevent obesity among youth is a pressing challenge. The current study examined the feasibility of community health workers (CHWs) con- ducting a physical activity (PA) and healthy eating intervention strategy with links to community supports and programs. Youth aged 10 - 18 years were recruited from three clinical sites serving inner-city families. Trained CHWs conducted assessment and counseling for PA and healthy eating among youth and their families and provided customized plans and navigation to neighborhood PA and nutrition programs. Measures of daily PA by self-report, weekday and weekend day se- dentary behaviors, fruit and vegetable intake, avoidance of fatty foods, and avoidance of sugary drinks were assessed at baseline and follow-up. Twenty-five patients (mean age = 12.9 years) were exposed to ~9 months of intervention from baseline. Pre- and post-assessments revealed significant changes in reported PA, sedentary behaviors on weekdays, sedentary behaviors on weekend days, fruit and vegetable intake, avoidance of fatty foods, and avoidance of sugary drinks. Results demonstrated the feasibility of having CHWs effectively influenced the PA and eating be- haviors of inner-city youth. Greater success was evident when assessment and counseling for PA and healthy eating were accompanied by navigation to neighborhood resources. The use of CHWs may be a cost-effective approach impacting the PA, sedentary, and dietary behaviors of youth. * Corresponding author.
A hardware accelerated object recognition system using event-based image sensor

The goal of this research is to explore the design and implementation of a hardware accelerated highlyefficient engine for the categorization of objects, using asynchronous event-based image sensor. The image sensor, namely Dynamic Vision Sensor (DVS), is equipped with temporal difference processing hardware. It outputs data in the format of binary event stream, in which 1 stands for a pixel on a motion object and 0 represents a still background pixel. The proposed system fully utilizes the precise timing information in the output of DVS. The asynchronous nature of this system frees computation and communication from the adamant clock timing in typical systems. Neuromorphic processing is used to extract cortex-like spike-based features through an event-driven MAX-like convolution network. Real-time light-weighted object recognition system is found more and more important, in particular in a number of emerging applications, such as in Unmanned Aerial Vehicle (UAV), where a recognition system that can detect and avoid obstacle; e-health applications such as human activity categorization; automobile application such as active car collision avoidance system, to name a few. A lot of research work has been focused on this before, mainly using traditional picture-based images sensor running at a high frame rate. Approaches like background subtraction can provide foreground object skeleton, followed by various techniques to represent the features in the image and at last, utilizing statics regression and classification algorithms, raw recognition results can be obtained. However, due to algorithm complexity and the large quantity of frame based image data, these algorithms have to be carried out on super powerful computers. This limits the application to wider usage, not to mention its high power consumption, mass and volume. In addition, conventional frame image sensor contains tons of data re-
Modeling and control of DC-DC buck converter using SMC

In this paper, a small-signal circuit modeling for pulse width modulated dc-dc converter operated in continuous conduction mode (CCM) and discontinuous conduction mode (DCM) are presented. Various aspects of modeling is discussed and then averaged modeling of PWM converter is selected. A duty ratio constraint (which comes in DCM), defines the diode conduction interval which is key to accurate prediction of high frequency behavior. Linear as well as nonlinear control strategies are implemented and their results are compared. Nonlinear control is preferred approach because no constrain on the signal variation around the steady state point. The proposed model and control strategies are implemented on buck converter. Simulation results have been shown for both the control strategies.
Polar auxin transport and patterning: grow with the flow.

Particularly in the fall, plant leaves demand attention as examples of the beauty of nature. Around that time, anyone can pick them up and have a close look at the variety in venation patterns. For a considerable time, biologists and mathematicians went one step farther, trying to find regularities in these patterns and rules behind them. Vein organization can be classified in several general patterns characteristic of a particular plant (Fig. 1A–D), suggesting that genetic input into the patterning system can be responsible for predictable gross changes in venation networks. However, close inspection reveals that there is considerable variation in the venation pattern in individual leaves of many plants. This reveals a large stochastic element in the mechanism by which veins are formed. In this issue of Genes & Development, Scarpella et al. (2006) provide new insights into how genetic and stochastic vein patterning processes might be related, but also connect the initiation of venation patterns to recent models of other auxin-dependent patterning processes in shoots and roots.
On the Design of Leniency Programs

Leniency programs contribute to destabilizing collusion but can also be abused and generate perverse effects. This paper develops a simple model capturing this trade-off, which we use to relate the optimal leniency policy (the carrot) to the effectiveness of investigations (the stick). We show that it is always desirable to offer some leniency before an investigation is launched; it is also optimal to offer some leniency once an investigation is underway when investigations are unlikely to succeed in uncovering cartels, absent self-reporting. Our analysis also confirms the usefulness of restricting leniency to the first informant only; in contrast, it does not support prohibiting leniency for repeat offenders.
Role of steroidogenic factor 1 and aromatase in temperature-dependent sex determination in the red-eared slider turtle.

Red-eared slider turtles are genetically bipotential for sex determination. In this species, as in many other reptiles, incubation temperature of the egg determines gonadal sex. At higher incubation temperatures females are produced and increasing temperature appears to increase estrogen production in the embryonic brain. Treatment of eggs incubating at a male-producing temperature with exogenous estrogen causes ovaries to form. At a female-biased incubation temperature, prevention of estrogen biosynthesis or administration of nonaromatizable androgens results in the development of testes. In mammals, steroidogenic factor 1 (SF-1) regulates most genes required for estrogen biosynthesis, including aromatase. In both mammals and red-eared sliders, SF-1 is differentially expressed in males and females during gonadogenesis. We have examined both SF-1 gene expression and aromatase activity in embryos incubating at different temperatures and after manipulation to change the course of gonadal development. Our findings indicate a central role for SF-1 in enacting the effect of estrogen. Estrogen treatment directly or indirectly downregulates SF-1 and, ultimately, causes development of females. The inhibition of estrogen results in upregulation of SF-1 and male hatchlings. Thus, SF-1 may lie at the center of one molecular crossroad in male versus female differentiation of the red-eared slider.
Hand gestures recognition using electromyography for bilateral upper limb rehabilitation

Among the rehabilitation techniques used for upper limb stroke rehabilitation, bilateral training assisted by functional electrical stimulation may provide improved functional benefit. In these protocols, contralateral movement is often measured using kinematic sensors, which may not fully estimate the volitional effort performed by the patient. In this work, we propose the use of an easy-to-use wearable electromyography system to detect hand gestures in such bilateral therapies. Classification is performed using a combination of techniques, such as dimension reduction, clustering and support vector machines, in order to possibly remove the need for retraining the classifier for new users. Preliminary evaluation on 5 healthy subjects indicated 81% classification performance for the 5 gestures classifier, while using the 9 gestures classifier 46% of gestures were correctly classified, which may indicate limitations of the proposed method to hand poses that present high biomechanical similarity.
AFM: a versatile tool in biophysics

Here we review the applications of atomic force microscopy to the study of samples of biological origin. Emphasis is given to provide the reader with information on the broad range of different biophysical applications that, to date, such a technique can deal with. After recalling briefly the operating principles of an atomic force microscope, the broad field of bio-imaging applications is faced (DNA, DNA–protein interaction, proteins, lipid membranes, cells); thereafter, the use of the atomic force microscope to measure forces is introduced and force mapping on living cells is discussed. This section is followed by the description of the use of force curves in assessing single-molecule inter- and intramolecular interactions. A paragraph on the perspectives of the technique in biophysical applications concludes the paper. We hope that this review can help the reader in appreciating how atomic force microscopy contributes to the current explosive growth of nanobiosciences, where biology, chemistry and physics merge.