Miracle-dz/UniFAR-FTUs huggingface dataset:
A novel glycyrrhizin acid-coated stent reduces neointimal formation in a rabbit iliac artery model

Introduction: Most drug-eluting stents (DESs) inhibit intimal hyperplasia but impair re-endothelialization. This study aimed to evaluate in vivo strut coverage and neointimal growth in a new glycyrrhizin acid (GA)-eluting stent. Methods: New Zealand White rabbits (n = 20) with atherosclerotic plaques were randomly divided into three groups based on implanted iliac artery stents: bare-metal stents (BMSs), rapamycin-eluting stents, and GA-eluting stents. After the in vivo intravascular ultrasound (IVUS) assessment at 28 days, the vessels were harvested for scanning electron microscopy (SEM) and histology. After 4 weeks of follow-up, the stent and external elastic lamina (EEL) areas were compared among the groups. Results: The rapamycin- or GA-eluting stents significantly reduced the neointimal area compared with BMSs, though GA-eluting stents had the lowest reduction. There were more uncovered struts for rapamycin-eluting stents than those for GA-eluting stents and bare-metal stents. The endothelial nitric oxide synthase (eNOS) expression in GA-eluting stents was much higher than that in BMSs and rapamycin-eluting stents, even though the endothelial coverage between struts was equivalent between BMSs and GA-eluting stents. Moreover, GA-eluting stents markedly promoted re-endothelialization and improved arterial healing compared to rapamycin-eluting stents in a rabbit atherosclerotic model. Conclusion: In conclusion, the novel GA-coated stent used in this study inhibited intimal hyperplasia and promoted re-endothelialization.
Empirical research on the chaotic dynamical features of exchange rate time series

In order to judge the existence of chaotic dynamical features in exchange rate time series,the paper applies the technique of phase space reconstruction and the algorithm of small data sets on five exchange rates.The results show that all the largest Lyapunov exponents λ1 are above zero,and all fractal dimensions are no-integer,which suggest the existence of chaos.It not only helps us for knowing exchange rates better,but also for forecasting and national intervening.
NeRFahedron

Neural rendering is an exciting topic injecting machine learning methodologies into the classical computer graphics rendering pipeline. Although recent works have achieved remarkable fidelity, discussion on how to enable it for interactive scenarios like video games seems to be lacking. Aside from an editable 3D model and UV-mapping, an interactive application will demand the neural rendering to handle animatable 3D content with interactive speed. This is currently a gap in neural rendering and our solution to this problem is a novel neural rendering pipeline involving a primitive named NeRFahedron. It localizes a NeRF field and as such effectively reduces the number of expensive network sampling operations to improve speed. Our pipeline involves tetrahedron rasterization, localized ray marching and near-surface particle sampling. The result is a method that can enable animatable content for neural rendering with interactive speed, which has been shown to be competitive in rendering animation. We will also showcase its ability to enable interactive applications via a real-time demo.
A Network Description on Huai-Yang Recipe System

We have studied the network description on Huai-Yang recipe system and presented the empirical statistical investigation on the average path length,clustering coefficient,degree distribution,grid coefficients and other properties.We suggest that Huai-Yang recipe network can belong to the so-called 'extended collaboration networks' due to the fact that it can be described by a 'set of complete graphs'. Therefore,it is better described by a bi-particle graph and two more important statistical parameters,'act-degree' and 'act-size' as well as their distributions can be defined.These empirical statistical results are in a very good agreement with the conclusions of a collaboration network's evolution model that was suggested by us.
Charges limites, plasticité et homogénéisation: le cas d'un bord chargé

We determine, by homogenization, the limit load of a periodic nonhomogeneous structure. For a structure clamped on its boundary it was proposed [1] and proved [4] that the problem reduces to a limit load problem for an homogenized structure the strenght capacity of which was characterized. For a structure loaded on its boundary the present work show that the limit load problem must included on additional strength criterion on the stress vector on the boundary. This strenght criterion is more restrictive than the condition which can be deduced from the bulk strengtht capacity Determination, par homogeneisation, de la charge limite d'une structure periodique heterogene. On montre que dans le cas d'une structure chargee sur son bord, le probleme d'analyse limite homogeneise doit etre pose avec un critere de resistance portant egalement sur le vecteur contrainte au bord
NUMERICAL STUDY OF THE EFECT OF INDIAN PENINSULA ON SOUTH ASIAN SUMMER MONSOON PROCESS

The effect of Indian peninsula on south Asian summer process is conducted in terms of CCM3. Results indicate that the Indian peninsula acts as a critical role in the establishment of Asian tropical summer monsoon. The mechanism of the effect on the south Asian summer monsoon process of the Indian peninsula is also investigated in this paper.
Numerical solution of stochastic SIR model by Bernstein polynomials

In this paper, we present numerical method based on Bernstein polynomials for solving the stochastic SIR model. By use of Bernstein operational matrix and its stochastic operational matrix we convert stochastic SIR model to a nonlinear system that can be solved by Newton method. Finally, a test problem of SIR model is presented to illustrate our mathematical findings.
Object Segmentation Method Based on Variable Contour Neighborhood Graph Cuts and Active Contours

Graph Cuts Based Active Contours(GCBAC) approach is a combination of the optimization tool of graph cuts and the iterative deformation idea of active contours. An improved algorithm based on Variable Contour Neighborhood(VCN) is proposed to solve the disadvantage that GCBAC repeatedly cuts the contour neighborhood even these parts of the contour have reached the object boundary. The active contour is classified into the boundary-reached part and the boundary-unreached one, and the contour neighborhood is only dilated from the boundary-unreached one, so it sharply decreases the graph-cut time. Experimental results show that the efficiency of the improved algorithm is 2~3 times as high as the original one.
Interleaved trellis coded spread-spectrum for Rician fading channels

A direct-sequence spread-spectrum communication system which uses a form of trellis coding is considered. The authors analyze the performance of this system for a channel model which includes the effects of multiple-access interference, Gaussian noise and Rician fading. Upper and lower bounds on the probability of occurrence of dominant error events are obtained by modeling the continuous probability density functions of noise and interference as discrete probability mass functions. Bit error rates are reported for coded and uncoded systems with equivalent power, bandwidth and transmission rates. It is found that while coded systems without interleaving yield only modest performance improvements over uncoded systems, coded systems with interleaving perform dramatically better. <<ETX>>
Image Edge Detection Based on Complex Ridgelet Transform

For the defects of the existing edge detection methods those can’t well guarantee the robust anti-noise character and the continuity of edges detected simultaneously, a new kind of image edge detection method is proposed which is based on the complex ridgelet transform and Laplace operator. First, the scalar one-dimensional wavelet transform in the traditional ridgelet transform is replaced by dual-tree complex wavelet transform, so that the ridgelet transform has translation invariance, and then the image is denoised by the complex ridgelet transform. Second, the Laplace operator convolutes the coefficients of the complex ridgelet transform so as to tell whether the points are edge points. The experiments show that this method has a better robust anti-noise character, and could reserve edge information in the image better at the same time of image de-noising, which could extract the object profile efficiently.
Comparison of two Lagrangian dispersion models: A case study for the chemical accident in Rouen, January 21-22, 2013

Industrial accidents have been a serious environmental and public health issue for the last decades. Although the development of atmospheric dispersion models was largely motivated by the notorious nuclear catastrophes, simulations are now mostly used in cases of chemical accidents that regularly occur in all parts of the world. In an accidental situation, the accuracy of the results is primarily important for risk management and decision making strategies. However, it largely depends on the meteorological conditions and the quality of input data. A chemical accident happened in a factory in Rouen, France on January 21, 2013. The emitted methyl mercaptan gas caused odor and sickness in densely populated areas, including Paris. The meteorological conditions were rapidly changing in both space and time during the release period, thus the case is particularly challenging for dispersion models and provides a good basis for testing them. Dispersion of the released methyl mercaptan gas was estimated using the PyTREX trajectory model, developed at the Eötvös Loránd University, and NOAA’s HYSPLIT model. The simulation results are in a good agreement with media reports of the polluted areas, and lead to a better understanding of the complex synoptic situation at the time of the accident. Comparison of the results of two models also provided information about the uncertainty of the predictions and pointed out the most important directions for further development of the PyTREX model. Key-words: atmospheric dispersion, accidental release, HYSPLIT, industrial accident, air pollution, Lagrangian model
Analysis of the Optimization of the Pole Arc Combination to Reduce the Cogging Torque in PM Motors

Permanent magnet motors are extensively used in high performance applications. However, the interaction between the permanent magnet and slotted armature lamination produces cogging torque, which may cause noise and vibration. In PM motors, all the PM poles usually have the same pole arc coefficients. In order to reduce the cogging torque, the adjacent PM poles can be designed with different pole arc coefficients. In this paper a novel method with different pole arc combination was adopted to reduce the cogging torque in PMDC motors. Firstly, the analytical method based on the energy method and Fourier transform is used to give the expression of the cogging torque and the method to minimize the cogging torque with pole arc combinations is presented. Since many assumptions are adopted, there are errors in the above method. To minimize the cogging torque, a global optimization algorithm(zooming algorithm) and the finite element method(FEM) are combined to find the best pole arc combination. In order to reduce the cogging torque, the adjacent PM poles can be designed with different pole arc coefficients. Two motors are analyzed and optimized with the above method and the results show that the cogging torque can be reduced notably.
On the Number of Maximal Antichains in Boolean Lattices for nnn up to 7

— We consider two ways how to compute the number of maximal antichains in the Boolean lattice on n elements. The ﬁ rst one is based on full direct enumeration, while the second ones relies on concept lattices or Galois lattices (studied in Formal Concept Analysis, an applied branch of lattice theory) and the Dedekind – McNeil completion of a partial order. The last technique also results in the so-called standard contexts of a (concept) lattice, which gives an alternative representation of maximal antichain lattices as binary relations on meet- and join-irreducible elements. The implemented algorithms are parallelised and openly available on the author’s GitHub page https://github.com/dimachine/NonEquivMACs. All the computational results obtained by the author are listed in their records in the On-Line Encyclopedia of Integer Sequences: https://oeis.org/A326359, https://oeis.org/A326360, and https://oeis.org/A348260. These sequences have their famous counterparts known under the name Dedekind numbers, representing the number of antichains of the Boolean lattice B n or monotone Boolean functions over n variables.
Comparison and Power Loss Assessment of 1Ø Grid-Tied Non-Isolated Inverters

Together with power-electronic devices and photo-voltaic (PV) systems keep improving, there is expanding curiosity in non-isolated grid-tied PV inverters (GPV), which put forward reduced price, smaller volume, and enhanced efficiency than transformer-equipped inverters. Unfortunately, non-isolated GPV inverters with conventional topologies have a leakage current issue that must be addressed carefully. Controlling semiconductor losses and the Common Mode Voltage (CMV) are also critical issues in the development of PV inverter. At the moment, there are numerous topologies that provide good performance in terms of losses and CMV. In this research, mathematical analysis of four of the single phase non-isolated inverter topologies H4, H5, H6 and HERIC are carried out for power loss and CMV. Also simulations with MATLAB is used to validate the results obtained from mathematical analysis. This research will allow us to determine the features and disadvantages of each topology in regards with power loss, CMV and pricing.
Conditioning out rare events for exponential families has negligible effect on inference

ABSTRACT Suppose that we observe X ∼Binomial(n, p). Inference on p is difficult if X = 0 or n. One way around this is to condition on these events not happening. We show that this has only an exponentially small effect on its cumulants. This is also true if we condition away other rare events. Our results are presented for exponential families, with applications to the binomial, multinomial and negative multinomial distributions.
Effect of Power Supply Noise on Logical Reliability of MOS based Circuits

This electronic We have investigated supply noise reduction of Metal-Oxide-Semiconductor (MOS) based logic circuits both at 500 nm and 45 nm technology nodes. Logical failure of Complementary-MOS inverter with supply voltage lowering can be restricted at low package inductances. Noise reduction of 5-input combinational logic is performed by subsequently reducing number of transistors and applying dynamic logic within the design. The change of voltage level due to dynamic logic has been corrected using a proposed design where high capacitance paths from switching transistors to output reduces supply noise while maintaining logical reliability. Logic reconstruction occurs in level triggered D-flipflop with transistors reduction (18 to 10) at 45 nm technology node and package inductance as high as 1 mH. Supply noise for master-slave negedge triggered D-flipflop is found to be frequency dependent at low packages and large channel circuits. Large package and short channel contribute large noise current which makes the design almost independent of applied clock frequency.
Study of Ring-Assisted Mach-Zehnder Interferometer Modulators

A microring-assisted Mach-Zehnder interferometer has been studied. The structure demonstrates better extinction ratio, eye opening and bandwidth than a single microring modulator. The extinction of the ring-assisted Mach-Zehnder interferometer can be further tailored by controlling the amount of light coupled to each of the interferometer arms. A 7 dB improvement in the extinction ratio over that of a standalone micro-ring device is observed for a 7.54 µm ring radius when operated in over-coupled regime at around 1310 nm wavelength.
Self-powered and broadband photodetectors based on graphene/ZnO/silicon triple junctions

A self-powered photodetector with ultrahigh sensitivity, fast photoresponse, and wide spectral detectivity covering from 1000 nm to 400 nm based on graphene/ZnO/Si triple junctions has been designed, fabricated, and demonstrated. In this device, graphene serves as a transparent electrode as well as an efficient collection layer for photogenerated carriers due to its excellent tunability of Fermi energy. The ZnO layer acts as an antireflection layer to trap the incident light and enhance the light absorption. Furthermore, the insertion of the ZnO layer in between graphene and Si layers can create build-in electric field at both graphene/ZnO and ZnO/Si interfaces, which can greatly enhance the charge separation of photogenerated electron and hole pairs. As a result, the sensitivity and response time can be significantly improved. It is believed that our methodology for achieving a high-performance self-powered photodetector based on an appropriate design of band alignment and optical parameters can be implemented to many other material systems, which can be used to generate unique optoelectronic devices for practical applications.
Nonlinear damped vibrations of a laminated composite plate subjected to blast load

This research deals with the derivation and solution of nonlinear dynamic equations of a clamped laminated plate exposed to blast load including structural damping effects. Dynamic equations of the plate are derived by the use of the virtual work principle. The geometric nonlinearity effects are taken into account with the von Karman large deflection theory of thin plates. An appropriate approximate solution is assumed for the space domain considering the finite element analysis results for the large deformation static analysis of the laminated plate. The Galerkin method is used to obtain the nonlinear differential equations in the time domain. These nonlinear differential equations include structural damping effects. The finite difference method is applied to solve the system of coupled nonlinear equations. The results of the theoretical analysis are compared with the experimental results. Good agreement is found for the peak values and frequencies. Effects of aspect ratio and damping on the dynamic response of the plate are examined. The damping coefficient greatly affects the nonlinear dynamic response.
Towards Advanced Rechargeable Metal (Zn, Li)-air (O2) Battery Systems Using Electrode and Electrolyte Engineering

Utilizing a diverse mix of batteries in electric vehicles (EVs) is estimated to boost the transition to clean and fossil-free cost-effective transportation. This discussion is mainly on the advancement of a ‘next-generation’ energy storage system called- Metal-Air Batteries (MABs) by overcoming various performance-limiting issues related to their electrodes and electrolytes, where MABs are identified as one of the important elements of next-generation traction. This study highlights the significance of engineering the electrodes and electrolytes for improving the cyclability of MABs with low overpotential for charging. Different strategies set out here open a plethora of new routes in designing high-performance MAB systems by simple tweaking of electrodes/electrolytes.
Pose Estimation for Rover-to-Lander Tube Transfer for Mars Sample Return

The NASA-ESA Mars Sample Return campaign would require transferring the sample tube between the M2020 rover and the Sample Return Lander. For these two spacecraft to successfully transfer tubes, the lander camera needs to localize and estimate the pose of the M2020 Bit Carousel with high accuracy. We present a method for fine pose estimation of the Bit Carousel, by using data from a simulated environment. We use a set of baseline simulated RGB-D images of the Bit Carousel and a camera matrix, to detect 2D features on the image and construct the corresponding 3D points on the dock. When a new test image is presented, we detect new features and match them to the baseline features. The matching results in a set of 2D-3D correspondences on the new image, from which we estimate the final pose. We evaluate our algorithm on a dataset of photorealistic simulated images, and examine the effect of varying the algorithm parameters. The results show that our method achieves an overall acceptable performance, with low pose errors and promising execution times.
Open Source Sensor Interface for Soft Detectors in Surgical Simulators

Surgical simulation is an emerging area of research and development, making new developments of especially hybrid simulators highly relevant. In this context, soft sensors enable low-cost position or force detection in haptically realistic synthetic tissue imitations to link the physical and virtual components of a patient phantom. To accelerate and facilitate the development of such simulators, an open-source sensor interface module optimized for use with soft carbon black silicone composite based sensors is presented. The module can measure complex voltages and impedances between multiple measurement channels at various frequencies. This enables up to three-dimensional tool tracking of conductive surgical instruments in patient phantoms as well as force or deformation detection at relevant structures. Several application scenarios are presented. Disruptive influences on the sensors are minimized by evaluating the signals based on discrete Fourier transform. Higher frequency signal coupling avoids contacting problems with soft sensors, which are often highly piezoresistive. Compensation functions or favorable sensor structures can largely avoid the influence of parasitic capacitances, which are particularly prevalent in low-cost electronics. The universally applicable module provides all the necessary electronics, including firmware and software interface for the subsequent processing computer. The handy module offers 17 measuring channels as well as digital inputs and outputs and is operated via USB. In addition to the evaluability of various sensor types relevant for surgical simulation, electroimpedance tomography is also supported, as demonstrated by the examples.
Speech Analysis of Chhattisgarhi Dialects using Wavelet Transformation and Mel Frequency Cepstral Coefficient

The native dialects of distinct regions of Chhattisgarh are known as that state's dialects. In the year 2000, Chhattisgarhi was adopted as the state's official language and became a part of India. Using wavelet analysis techniques, this paper compared and identified speech patterns in diverse Chhattisgarhi dialects, which are suitable for challenging speech signal analysis. The dataset was obtained from a typical Chhattisgarh native, and this work presents the dialects used in different regions of the state. Wavelet transformations are used to extract parameters from a speech corpus, after which relations are built. The experiment was carried out with the aid of a Jupiter notepad and the Librosa library. Excellent features for audio signal analysis are offered by Librosa. Mel-frequency cepstral coefficient is the most effective method for digitally altering the audio stream and are utilised for feature extraction. This work extracted Wavelet Transform and Mel-frequency Cpstral co-efficients both type of features.