Miracle-dz/UniFAR-FTUs huggingface dataset:
Nitrogen-Doped Carbon Dots as A New Substrate for Sensitive Glucose Determination

Nitrogen-doped carbon dots are introduced as a novel substrate suitable for enzyme immobilization in electrochemical detection metods. Nitrogen-doped carbon dots are easily synthesised from polyacrylamide in just one step. With the help of the amino group on chitosan, glucose oxidase is immobilized on nitrogen-doped carbon dots-modified carbon glassy electrodes by amino-carboxyl reactions. The nitrogen-induced charge delocalization at nitrogen-doped carbon dots can enhance the electrocatalytic activity toward the reduction of O2. The specific amino-carboxyl reaction provides strong and stable immobilization of GOx on electrodes. The developed biosensor responds efficiently to the presence of glucose in serum samples over the concentration range from 1 to 12 mM with a detection limit of 0.25 mM. This novel biosensor has good reproducibility and stability, and is highly selective for glucose determination under physiological conditions. These results indicate that N-doped quantum dots represent a novel candidate material for the construction of electrochemical biosensors.
A survey on smart shoe insole systems

Nowadays, the foot pressure analyze using a wearable sensing systems becomes innovative in clinical and research fields to enable real time care of patients and to accelerate the detection of diseases. The plantar pressure is measured using a smart shoe insole system with multi-sensors placed in different anatomical zones of the foot, the best position and number of sensors depends on the type of analyze.The aim of this systematic review was to assess the measurement of plantar pressure with instrumented smart shoe insole. We studied the main characteristics of the shoe insole systems, and their ability to identify diseases and for efficient real time care of patients. The shoe insole systems are classified according to the number and types of sensors. This paper can be a valuable source of recent references for future research in the field of smart insole systems.
Flexible Array Response Control via Oblique Projection

This paper presents a flexible array response control algorithm via oblique projection, abbreviated as FARCOP, and its application to array pattern synthesis. The proposed FARCOP algorithm stems from the adaptive array theory, and it can flexibly, precisely and simultaneously adjust the array response levels at multiple angles based on an arbitrarily given weight vector. Different from the existing approaches, the proposed FARCOP algorithm controls multi-point responses by linearly transferring the given weight vector, with a transformation matrix containing a set of parameters, each of which can be very easily determined by the desired response level (at the control angle). Owing to the fact that those parameters are independent of each other, the response levels at the control angles can be either individually or jointly and, therefore, flexibly adjusted. Since the parameter phases can be arbitrary, we take the beampattern into account and propose to uniquely choose the optimal parameters under the typical criterion of maximum white noise gain (WNG). Accordingly, a gradient projection (GP) algorithm is devised to achieve the optimal solution. Moreover, a closed-form solution is derived for the centro-symmetric array. In addition, the application of the FARCOP algorithm to pattern synthesis is discussed. Comparing to the state-of-the-art methods like multi-point accurate array response control (${\text {MA}}^2{\text {RC}}$), the proposed FARCOP algorithm controls the array responses more flexibly with lower computational complexity. Representative examples are presented to demonstrate the effectiveness and superiority of the FARCOP algorithm under various situations.
An Analysis of Trust Building with Awareness Information in Virtual Teams

Working on online has been increasing with advancement of information and communication technology. The purpose of this study is to examine the effect of awareness information on trust building in a virtual team via a field experiment. Virtual team members were recruited through a crowd sourcing platform. Each team consisted of three members (editor, designer, and coder) and assigned to develop a website. Two competitions (preliminary and final) were held for this study. The analysis results based on questionnaire survey and communication logs indicated that awareness information might help building trust in virtual teams.
Testing machine learning approaches for wind plants power output

Wind plant power output behaves like a function that strongly depends on the value and direction of wind speed, but the weather conditions have plenty of parameters that can affect the output. In this work, we are aimed to merge two different datasets to get the application for a wind turbine model. The first dataset contains weather parameters while the second consists of the wind power production for a region. Then we estimate the parameters of an equivalent wind turbine to evaluate physical model baseline. On the next step, we build and tune regression machine learning models: the gradient boosting with decision trees, Gaussian process, neural network and support vector machine. Additionally, we perform the sensitivity analysis for the most accurate trained models and get the most reliable weather parameters.
Effects of Wenxin Keli on the Action Potential and L-Type Calcium Current in Rats with Transverse Aortic Constriction-Induced Heart Failure

Objective. We investigated the effects of WXKL on the action potential (AP) and the L-type calcium current (I Ca-L) in normal and hypertrophied myocytes. Methods. Forty male rats were randomly divided into two groups: the control group and the transverse aortic constriction- (TAC-) induced heart failure group. Cardiac hypertrophy was induced by TAC surgery, whereas the control group underwent a sham operation. Eight weeks after surgery, single cardiac ventricular myocytes were isolated from the hearts of the rats. The APs and I Ca-L were recorded using the whole-cell patch clamp technique. Results. The action potential duration (APD) of the TAC group was prolonged compared with the control group and was markedly shortened by WXKL treatment in a dose-dependent manner. The current densities of the I Ca-L in the TAC group treated with 5 g/L WXKL were significantly decreased compared with the TAC group. We also determined the effect of WXKL on the gating mechanism of the I Ca-L in the TAC group. We found that WXKL decreased the I Ca-L by accelerating the inactivation of the channels and delaying the recovery time from inactivation. Conclusions. The results suggest that WXKL affects the AP and blocked the I Ca-L, which ultimately resulted in the treatment of arrhythmias.
Impact of Hybrid Renewable Sources on the Transient Stability of Multi-machine Power System

This paper proposes a new method to improve the transient stability of a multi-machine power system integrated with hybrid renewable sources. The study aims at investigating and understanding the transient stability of the system with constant and varying power injection by doubly fed induction generator (DFIG) based wind farm and solar photovoltaic (PV) farm. The controllers of the converters in DFIG and Solar PV system are modified in such a way that during fault period both the renewable sources allow maximum reactive power injection unlike during normal period. This coordinated reactive power support during fault causes improvement in the bus voltage magnitude and thereby enhance the overall system transient stability. Faults are considered in different load buses and stability is compared for the cases with and without the proposed controller. The study is carried out in WSCC 3-machine 9-bus system and the platform used for simulation is PSCAD/EMTDC.
Pruning local feature correspondences using shape context

We propose a novel approach to improve the distinctiveness of local image features without significantly affecting their robustness with respect to image deformations. Local image features have proven to be successful in computer vision tasks involving partial occlusion, background noise, and various types of image deformations. However, the relatively high number of outliers that have to be rejected from the correspondences set, formed during the search for similar features, still plagues this approach. The task of rejecting outliers is usually based on estimating the global spatial transform suffered by the features in the correspondences set. This presents two problems: (i) it cannot properly deal with non-rigid objects, and (ii) it is sensitive to a high number of outliers. Here, we address these problems by combining typical local features with shape context. A performance evaluation shows that this new semi-local feature generally provides higher distinctiveness and robustness to image deformations, thus potentially increasing the inlier/outlier ratio in the correspondences set. Also, we show that in wide baseline stereo matching, and non-rigid motion applications, the use of the novel semi-local feature not only provides robustness to non-rigid deformations, but also produces a higher inlier/outlier ratio than the standard Hough clustering of the global spatial transform of parameters.
Nonlinear Load Distribution and Drives Configuration Selection for Harmonic Mitigation as Per IEEE 519-2014 Standard

Distribution of nonlinear loads and selection of variable frequency drives configuration in industrial power distribution systems shall be done appropriately at design stage itself so that the harmonic distortion levels at point of common coupling are within the IEEE 519-2014 standard limit. With the methodology as given in this paper, one can find out mathematically whether the total demand distortion exceeds IEEE 519-2014 standard limit or not instead of measuring it physically at field with harmonic distortion analyzer (instrument that measures current harmonic distortion and voltage harmonic distortion), which can be feasible only after installation and commissioning of all loads. With this approach it can be possible to take corrective action during the designing stage of power distribution systems in an optimal way. Also one can minimize the use of very expensive Active Front Ends variable frequency drives or can minimize the use of expensive multi pulse (twelve or higher pulse) variable frequency drives with input side having converter transformer by replacing with less expensive six pulse variable frequency drives with having higher percentage of line reactor by identifying at which distribution bus or at which distribution transformer, total demand distortion exceeds IEEE 519-2014 standard limit. This study will help in selecting the optimal configuration of variable frequency drives and thus will reduce the overall project cost. A comparative table of maximum allowable percentage of nonlinear load with respect to total load at secondary side of distribution transformer is evaluated based on current THD of these nonlinear loads and total demand distortion limit as per IEEE 519-2014 standard. Case study with different percentage of nonlinear load and various VFD configurations are analyzed mathematically and by PSpice based Vacon harmonic simulation software and the outcomes of case study are represented in pie chart diagram.
The Design of an Adaptive CORBA Load Balancing Service

As network-centric computing becomes more pervasive and applications become more distributed, the demand for greater scalability and dependability is increasing. Distributed system scalability can degrade significantly, however, when servers become overloaded by the volume of client requests. To alleviate such bottlenecks, load balancing middleware mechanisms can be used to distribute system load equitably across object replicas residing on multiple servers. This paper describes the key design challenges we faced when adding this load balancing service to our CORBA ORB (TAO) and outline how we resolved the challenges by applying patterns.
A DC-DC Bidirectional Converter with Improved Mode Transition Technique

A non-isolated bidirectional dc-dc converter (BDC) topology with improved mode transition technique is proposed in this paper. The proposed bidirectional converter has salient features like reduced mode transition time, better dynamic response and regenerative efficiency in case of motor loads. Further, it has capability to charge batteries with constant current (CC), constant voltage (CV), constant current constant voltage (CCCV) and pulse current (PC) charging schemes. All possible operational modes of BDC have been identified and then detailed operations have been discussed for a 40 W prototype. The functionality and effectiveness of the proposed BDC are demonstrated using simulation and experimental study.
Performance of Sensorless Method for PMSM Drive

In AC Drives control of a permanent magnet synchronous motor (PMSM) is a nontrivial matter, due to its nonlinear elements and time-fluctuating parameters. In many industries, PMSM drives require speed/position sensorless operation of high performance. A large portion of the sensorless control scheme is dependent motor parameter. Therefore motor performance suffers much in hostile and highly flactuating operating environment where motor parameter is varying. To defeated this issue, Model Reference Adaptive System (MRAS) based calculations have been produced, which offer versatile and straightforward solution. The test results exhibit that sensorless PMSM drive display better speed tracking.
Effective power sharing between Solar Refrigerator and DC Micro Grid

This paper proposes a control algorithm to effectively share the solar energy as a source of power between standalone solar refrigeration system and local DC grid benefiting the unelectrified villages in India. A single stage power conversion is used to feed the BLDC motor compressor (reciprocating) for the cold storage chamber (detachable). The power demanded by BLDC system is supplied completely from PV source. The cold storage chamber which uses Phase Changing Material (PCM) absorbs and accumulates the required energy by altering its phase and releases the energy during power interrupts or night time hence no battery backup is required. To extract the maximum power from the solar PV array an Incremental Conductance Maximum Power Point Tracking (IC MPPT) is used. The proposed control algorithm uses MPPT voltage reference itself to transfer the excess power to the DC grid without additional effort. The proposed system is evaluated by the simulation results obtained using MATLAB Simulink model.
The homeostatic dynamics of feeding behaviour identify novel mechanisms of anorectic agents

Better understanding of feeding behaviour will be vital in reducing obesity and metabolic syndrome, but we lack a standard model that captures the complexity of feeding behaviour. We construct an accurate stochastic model of rodent feeding at the bout level in order to perform quantitative behavioural analysis. Analysing the different effects on feeding behaviour of PYY3-36, lithium chloride, GLP-1 and leptin shows the precise behavioural changes caused by each anorectic agent. Our analysis demonstrates that the changes in feeding behaviour evoked by the anorectic agents investigated not mimic satiety. In the ad libitum fed state during the light period, meal initiation is governed by complete stomach emptying, whereas in all other conditions there is a graduated response. We show how robust homeostatic control of feeding thwarts attempts to reduce food intake, and how this might be overcome. In silico experiments suggest that introducing a minimum intermeal interval or modulating gastric emptying can be as effective as anorectic drug administration.
Magnetic Equivalent Circuit for Surface-Mounted PM Motor

Electric machine design optimisation requires tools that provide reliable information about machine parameters. Magnetic equivalent circuit (MEC) technique is selected here for predicting machine performance. MEC is developed for a fractional slot, permanent magnet synchronous motor (PMSM). The model includes saturation, fringing effect in air gap and accounts for relative motion of the rotor. Even with saturation being incorporated, the adopted solution converges the model within few iterations. Performance quantities of the motor like flux density, induced EMF, flux linkage, inductance and cogging torque are evaluated. The results of MEC are validated with finite element analysis (FEA) and few with experiments.
Nonholonomic closed-loop velocity control of a soft-tethered magnetic capsule endoscope

In this paper, we demonstrate velocity-level closed-loop control of a tethered magnetic capsule endoscope that is actuated via serial manipulator with a permanent magnet at its end-effector. Closed-loop control (2 degrees-of-freedom in position, and 2 in orientation) is made possible with the use of a real-time magnetic localization algorithm that utilizes the actuating magnetic field and thus does not require additional hardware. Velocity control is implemented to create smooth motion that is clinically necessary for colorectal cancer diagnostics. Our control algorithm generates a spline that passes through a set of input points that roughly defines the shape of the desired trajectory. The velocity controller acts in the tangential direction to the path, while a secondary position controller enforces a nonholonomic constraint on capsule motion. A soft nonholonomic constraint is naturally imposed by the lumen while we enforce a strict constraint for both more accurate estimation of tether disturbance and hypothesized intuitiveness for a clinician's teleoperation. An integrating disturbance force estimation control term is introduced to predict the disturbance of the tether. This paper presents the theoretical formulations and experimental validation of our methodology. Results show the system's ability to achieve a repeatable velocity step response with low steady-state error as well as ability of the tethered capsule to maneuver around a bend.
Discovering Experts in Question Answering Community

One crucial part of the success of any Community Question Answering (CQA) websites is getting a timely reply on a user’s question. And this can be achieved by finding top users who are potential experts in that domain and can provide an answer. In this paper, we experiment and suggest different techniques to recommend top-k users to a newly posted question in the system. We start off by using TF-IDF, LSA, LDA along with LambdaRank. We further propose Hybrid Matrix Factorization for this task which performs better than the rest. In the crux of this technique lies combining feature co-occurrences from content-based method and user-actions on questions from the collaborative methodology.
Catalytic upgrading of biomass fast pyrolysis vapors with nano metal oxides: an analytical Py-GC/MS Study.

Fast pyrolysis of poplar wood followed with catalytic cracking of the pyrolysis vapors was performed using analytical pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS). The catalysts applied in this study were nano MgO, CaO, TiO2, Fe2O3, NiO and ZnO. These catalysts displayed different catalytic capabilities towards the pyrolytic products. The catalysis by CaO significantly reduced the levels of phenols and anhydrosugars, and eliminated the acids, while it increased the formation of cyclopentanones, hydrocarbons and several light compounds. ZnO was a mild catalyst, as it only slightly altered the pyrolytic products. The other four catalysts all decreased the linear aldehydes dramatically, while the increased the ketones and cyclopentanones. They also reduced the anhydrosugars, except for NiO. Moreover, the catalysis by Fe2O3 resulted in the formation of various hydrocarbons. However, none of these catalysts except CaO were able to greatly reduce the acids.
Regularised Projection of an Image Domain Triangulation for Disparity Map Refinement

Most of the recent top-ranked stereovision algorithms are based on some oversegmentation of the stereo pair images. Each image segment is modelled as a 3D plane, transposing the stereovision problem into a 3-parameters plane estimation problem. Trying to find the set of planes that best fits the input data while regularising on 3D adjacent planes, a global energy is minimised using different optimisation strategies. The regularisation term is important as it enforces the reconstructed scene consistency. In this paper, we propose a disparity map refinement strategy based on a triangular mesh of the image domain. This mesh is projected along the rays of the camera, each triangle being modelled by a slanted plane. Considering triangles instead of free form superpixels, i.e. adding a geometrical constraint on the shape of segment boundaries, allows to formulate simpler regularisation terms that only involve the mesh vertex disparities in the computations. Different curvature regularisation terms of the literature are explored and a new one is proposed, with better properties with regard to the usual coplanarity assumption between adjacent planes. We demonstrate the performance gain of the proposed method compared to the popular Semi-Global Matching (SGM) algorithm.
Power Up Potential Power Amplifier Technologies for 5G Applications

Power amplifiers (PAs) will receive significant attention in the 5G era because of increasing wireless communication requirements. The development trends of PAs with broader bandwidth, higher efficiency, and higher power using conventional concepts are no longer the primary focus of PA technologies for 5G applications. The PA is not a stand-alone device but rather a closely related part of the wireless communication system (WCS). Here, we analyze PA design technology over the last few decades and look at possible future requirements for 5G applications, the characteristics of these PAs for 5G applications, and possible future applications of 5G PA technologies.
Impact of Crash Override and Tampering Communication Data Cyber-Attacks on the Power Quality of the Hybrid System

Energy storage is an essential device in a smart hybrid system. The hybrid grid controllers are regulated through an Internet based supervisory control and data acquisition (SCADA) system. The involvement of internet makes the system vulnerable to cyber-attacks and affects the performance of the system. This work analyzes the effects of cyber-attacks on the performance of a supercapacitor energy storage (SES) located in a hybrid grid system. Two types of cyber-attacks, such as the tampering communication data/signals and crash override, targeting the controllers of the energy storage system, have been considered. To quantify the results, two indices, namely the voltage index (Vindex) at the point of common coupling (PCC) and the total harmonic distortion (THD) have been evaluated. Simulations have been performed by using the Matlab/Simulink software. Simulation results show that the performance of the hybrid grid system is deteriorated due to the cyber-attacks on the SES controller.
Ab initio simulation of diffractometer instrumental function for high-resolution X-ray diffraction

A method for the simulation of the diffractometer instrumental function for high-resolution X-ray diffraction, applicable for coplanar and noncoplanar measurement geometry and for any combination of X-ray optical elements, is proposed. Good agreement is demonstrated between the measured and the simulated reciprocal-space maps, which account for the instrumental function.