Miracle-dz/UniFAR-FTUs huggingface dataset:
A miRNA Target Prediction Model Based on Distributed Representation Learning and Deep Learning

MicroRNAs (miRNAs) are a kind of noncoding RNA, which plays an essential role in gene regulation by binding to messenger RNAs (mRNAs). Accurate and rapid identification of miRNA target genes is helpful to reveal the mechanism of transcriptome regulation, which is of great significance for the study of cancer and other diseases. Many bioinformatics methods have been proposed to solve this problem, but the previous research did not further study the encoding of the nucleotide sequence. In this paper, we developed a novel method combining word embedding and deep learning for human miRNA targets at the site-level prediction, which is inspired by the similarity between natural language and biological sequences. First, the word2vec model was used to mine the distribution representation of miRNAs and mRNAs. Then, the embedding is extracted automatically via the stacked bidirectional long short-term memory (BiLSTM) network. By testing, our method can effectively improve the accuracy, sensitivity, specificity, and F-measure of other methods. Through our research, it is proved that the distributed representation can improve the accuracy of the deep learning model and better solve the miRNA target site prediction problem.
Multivariate Relevance Vector Regression Based Degradation Modeling and Remaining Useful Life Prediction

Relevance vector regression (RVR) is a useful tool for degradation modeling and remaining useful life (RUL) prediction. However, most RVR models are for 1-D degradation processes and can only handle univariate observations. This article proposes a degradation path-based RUL prediction framework using a dynamic multivariate relevance vector regression model. Specifically, a multistep regression model is established for describing the degradation dynamics and extending the classical RVR into a multivariate one with consideration of the multivariate environment. The article introduces a matrix Gaussian distribution-based RVR approach and then estimates the hyperparameters with Nesterov’s accelerated gradient method to avoid the exhausting re-estimation phenomenon in seeking analytical solutions. It further forecasts the degradation path for monitoring the degradation status. Based on the forecasted path, the RUL is predicted by the first hitting time method. Finally, the proposed methods are illustrated by two case studies, one is presented in this article and the other in the supplement, which investigate the capacitors’ and bearings’ performance degradations.
Time-varying impact of U.S. financial conditions on China's inflation: a perspective of different types of events

In recent years, the frequency adjustment of U.S. monetary policy has a dynamic and global impact on other countries' economy. Based on the financial conditions index (FCI), the paper employs the time-varying parameter vector autoregressive model with stochastic volatility (TVP-VAR-SV) and spillover index respectively to investigate the time-varying impact of U.S. financial conditions (UFCI) on China's inflation (CINF) and its impact mechanisms. Some results are achieved as follows: first, the impacts of UFCI on CINF vary greatly over time both in the dimension of action duration and time point. Second, the effects of UFCI on CINF directly relate to different types of major events, and they are heterogeneous in action duration, degree, direction as well as the trend and range of fluctuations. In addition, UFCI can work on CINF through trade flow and China's financial market, and the China's financial market plays a main conductive role, and its conductive effect changes over time.
Analysis of Research Trends in Parents of Children with Autism Spectrum Disorder in Korea

This study analyzed previous studies to suggest research directions for children with autistic disorders in Korea. In order to achieve this purpose, the general characteristics of parents of children with autistic disorders and research trends according to evidence-based practice were investigated. The literature on analysis related to parents of children with autistic disorder has a total of 24 studies, general characteristics (research target, Independent Variable, Dependent Variable, Research design) and evidence-based actual qualitative indicators were analyzed. Korean journal articles published between 2008 and August 2020 were selected for analysis. The research results are as follows. First, as a result of analyzing the general characteristics of research papers mediated directly by parents of children with autistic disorders, there were three group-designed studies (12.5%) and fifteen single-subject studies (87.5%). The study mainly conducted social interaction training, positive behavior support, complementary and alternative communication tools, central axis response training, sensory integration program, developmental play therapy, and a structured approach in relation to independent variables. Second, looking at the rating table for the qualitative indicators of evidence-based reality, it can be seen that 19 studies that satisfies the information on the subject of study were presented relatively faithfully compared to other items. Therefore, when conducting intervention studies on children with autism disorders, group design studies are also necessary, and evidence-based practical intervention strategies should be presented and implemented.
Fractional‐order Chebyshev wavelet method for variable‐order fractional optimal control problems

A new alternative numerical method for solving variable‐order fractional optimal control problems (VO‐FOCPs) is introduced. We use fractional‐order Chebyshev wavelets for solving these VO‐FOCPs. By applying the regularized beta functions, an exact value for the fractional integration of the given wavelets is provided. By applying this formula and the given wavelets, we reduce the given VO‐FOCP to a system of algebraic equations which can be solved by using known methods. For the function approximation of our method, we also give the convergence analysis. By using several numerical examples, we show that this method is more accurate than the other existing methods in the literature.
2×2 polymeric electro-optic MZI switch using multimode interference couplers

We present the design of a 2×2 photonic switch operating at 1.55-μm wavelength using electro-optic (EO) polymer waveguides. A Mach-Zehnder interferometer (MZI) is used to implement the proposed switch in which two identical 2×2 multimode interference (MMI) couplers are connected by two identical parallel single mode waveguides (two MZI arms). These two single-mode waveguides with electrodes allow modulating the phase difference between the two MZI arms based on the EO effect. In the proposed switch, the EO polymer, IPC-E/polysulfone, is used for the core layer of optical waveguides. UV15 and NOA61 are employed for the lower and upper cladding layers, respectively. The singlemode waveguide structure and 2×2 MMI coupler have been designed and analyzed for the EO switch. Device performance has been simulated using the beam propagation method. It is found that the switch performance is most sensitive to the MMI width and less sensitive to the MMI length. Optimized structure has been obtained for the 2×2 polymeric EO switch, which has a crosstalk level better than -25 dB and insertion loss lower than -1.8 dB. This performance makes the switch a potential candidate for practical use in photonic systems.
A Class of Different Fractional-Order Chaotic (Hyperchaotic) Complex Duffing-Van Der Pol Models and Their Circuits Implementations

In this paper, we introduce three versions of fractional-order chaotic (or hyperchaotic) complex Duffing-van der Pol models. The dynamics of these models including their fixed points and their stability is investigated. Using the predictor-corrector method and Lyapunov exponents we calculate numerically the intervals of their parameters at which chaotic, hyperchaotic solutions and solutions that approach fixed points exist. These models appear in several applications in physics and engineering, e.g., viscoelastic beam and electronic circuits. The electronic circuits of these models with different fractional-order are proposed. We determine the approximate transfer functions for novel values of fractional-order and find the equivalent tree shape model (TSM). This TSM is used to build circuits simulations of our models}. A good agreement is found between both numerical and simulations results. Other circuits diagrams can be similarly designed for other fractional-order models.
Impact of diagonal correlations on MIMO capacity: application to geometrical scattering models

The paper highlights the impact of channel correlations on the capacity of MIMO communications, with a focus on the so called diagonal correlations. Based on this analysis, the limitations of simplified mathematical representations, such as the Kronecker or the diagonal-decorrelation models, are pointed out. Finally, the correlation properties of characteristic geometrical scattering models are studied in order to analyze whether these models can be adequately represented by the simplified formalisms, as well as to quantify the errors introduced by these simplifications. With respect to channel correlations, neither the Kronecker model nor the diagonal-decorrelation assumptions are good representations of the investigated geometrical scattering models. When comparing capacity values, it is found that the diagonal-decorrelation model may yield significant errors. In particular, relative errors on ergodic or outage capacity may be significant for the Kronecker model.
Bi-objective partial flexible job shop scheduling problem: NSGA-II, NRGA, MOGA and PAES approaches

This paper deals with a problem of partial flexible job shop with the objective of minimising makespan and minimising total operation costs. This problem is a kind of flexible job shop problem that is known to be NP-hard. Hence four multi-objective, Pareto-based, meta-heuristic optimisation methods, namely non-dominated sorting genetic algorithm (NSGA-II), non-dominated ranked genetic algorithm (NRGA), multi-objective genetic algorithm (MOGA) and Pareto archive evolutionary strategy (PAES) are proposed to solve the problem with the aim of finding approximations of optimal Pareto front. A new solution representation is introduced with the aim of solving the addressed problem. For the purpose of performance evaluation of our proposed algorithms, we generate some instances and use some benchmarks which have been applied in the literature. Also a comprehensive computational and statistical analysis is conducted in order to analyse the performance of the applied algorithms in five metrics including non-dominated solution, diversification, mean ideal distance, quality metric and data envelopment analysis are presented. Data envelopment analysis is a well-known method for efficiently evaluating the effectiveness of multi-criteria decision making. In this study we proposed this method of assessment of the non-dominated solutions. The results indicate that in general NRGA and PAES have had a better performance in comparison with the other two algorithms.
Small-signal characteristics of AlInN/GaN HEMTs

DC and RF measurements of an emerging AIInN/GaN high electron mobility transistor (HEMT) technology for power performances are reported. High electron transport properties in this structure attributed to the material quality are demonstrated. Indeed, in spite of a basic technology which provides high access resistances, high frequency performances with a cutoff and maximum oscillation frequencies about 26 and 40 GHz, respectively, at V-DS = 10 V were achieved. A maximum drain current density more than 1.3 A/mm with a pinch-off breakdown voltage about 40 V without any passivation was obtained. These results show that this device is very promising for high power performances at high frequency.
Multiresolution signal decomposition: a new tool for fault detection in power transformers during impulse tests

Detection of major faults in power transformers during impulse tests has never been an issue, but is rather difficult when only a minor fault, say a sparkover between adjacent coils or turns and lasting for a few microseconds, occurs. However, detection of such a type of fault is very important to avoid any catastrophic situation. In this paper, the authors propose a new and powerful method capable of detecting minor incipient faults. The approach is based on wavelet transform analysis, particularly the dyadic-orthonormal wavelet transform. The key idea underlying the approach is to decompose a given faulty neutral current response into other signals which represent a smoothed and detailed version of the original. The decomposition is performed by the multiresolution signal decomposition technique. Preliminary simulation work demonstrated here shows that the proposed method is robust and far superior to other existing methods to resolve such types of faults.
Modeling EDFA Gain: Approaches and Challenges

With the rapid development of virtual/augmented reality and cloud services, the capacity demand for optical communication systems is ever-increasing. To further increase system capacity, current researches focus on efficient and reliable system management, in which the transmission performance should be accurately estimated. The wavelength-dependent gain effects of erbium-doped fiber amplifiers (EDFAs) have a great impact on transmission performance, and therefore a precise EDFA gain model is required. In this paper, we firstly summarize the underlying principles and structures of EDFA, and introduce the gain performance and challenges in modeling. Then, we review the EDFA gain modeling methods. We categorize these researches into analytical modeling methods and machine learning (ML)-based modeling methods, and discuss their feasibilities and performances. In addition, we discuss the remaining problems for applying the models in a system and the possible directions for future investigations.
Omnidirectional Tactile Profiling Using a Deformable Pressure Sensor Array Based on Localized Piezoresistivity

With the recent progress of stretchable electronics, artificial tactile sensors pursue to imitate the human tactile system that is deformable and omnidirectional without signal interference. Although deformable tactile sensors without signal interference are demonstrated previously by using stretchable transistors or diodes, achieving omnidirectional tactility is very limited. It is because covering the 3D surfaces of fingers and hands with a sensor requests the structural simplicity and the customized shape design of the sensor. Here, a simple piezoresistive sensor without using the transistors or diodes is developed. The sensor is based on the localized piezoresistivity realized by creating the elastic resistive pixels that are laterally insulating with neighboring pixels. It can be wrapped on a finger and provide the pressure profiles and the spatial deformation of the substrate when multiple mechanical stimuli are applied from arbitrary directions. Based on this omnidirectional tactility, the blind contact recognition of objects that are piled up in a box is demonstrated.
The Application of Detrended Fluctuation Analysis in Rice Blast in the Early Warning

In this paper, the 5-9 months of 2000-2011 temperature and humidity data, used the detrended fluctuation analysis, obtained how the two data series’ non-uniform scaling index changes with time. In order to comprehensive influence of temperature and relative humidity of the two meteorological factors, the temperature and humidity coefficient is introduced. We also proposed a new non-uniform scaling index taking into account the information of temperature and relative humidity, and discusses the possible correlation between temperature and humidity and rice blast. The preliminary results show, A long-range power-law correlation can be found in the time series of temperature and humidity. About 5-15 days before the occurrence of rice blast will appear anomalies of non-uniform scaling index. It reflects the rice blast made a difference of statistical significance to the characteristic of nonlinear system internal of temperature and humidity coefficient. It can predict the occurrence and prevalence of rice blast according to the abnormal changes of temperature and humidity coefficient scaling exponent.
Constraints on the Electron Acceleration Process in Solar Flare: A Case Study

Combining in situ measurements of energetic electrons and remote sensing observations of hard X‐rays and type III radio bursts, we examine the release times of energetic electrons in the July 23, 2016 event. We find that the releases of in situ energetic electrons from the Sun are delayed from those electrons that are responsible for the hard X‐rays. We further find that the release time of in situ electrons is a function of electron energy. Under the assumption that the acceleration mechanism for the upward propagating electrons is of Fermi‐type and is controlled by an energy‐dependent diffusion coefficient, we fit these release times by a simple functional form, related to the turbulence spectral index. Implications of our study on the underlying electron acceleration mechanisms and the magnetic reconnection process in solar flares are discussed. Our results demonstrate the power of the recently developed fractional velocity dispersion analysis (FVDA) method in solar flare studies.
Riemann–Hilbert problem and interactions of solitons in the n$n$ ‐component nonlinear Schrödinger equations

In this work, we systematically investigate the general n$n$ ‐component nonlinear Schrödinger equations by using the Riemann–Hilbert method. Starting from the Lax pair associated with an (n+1)×(n+1)$(n + 1)\times (n + 1)$ matrix spectral problem, we construct a Riemann–Hilbert problem and obtain the compact N$N$ ‐soliton solutions formula expressed by determinants. Taking two‐components nonlinear Schrödinger equations as an example, this work detailedly analyzes its multisoliton solutions by means of parameters modulation. Many interesting new phenomena are displayed including elastic collision, soliton reflection, parallel propagation, time‐periodic propagation and (space, time)‐periodic propagation. In addition, the interactions between solitons from weak to strong are presented. Finally, some conjectures about the dynamical behaviors of N$N$ ‐soliton solutions are proposed. We hope that the present analysis would be useful for a better understanding of soliton interactions in related fields such as nonlinear optics, plasma physics, oceanography, and Bose–Einstein condensates.
Modeling the Impact of Travel Information on Activity–Travel Rescheduling Decisions under Conditions of Travel Time Uncertainty

This study elaborates on a model system developed in earlier papers to predict the perceived value and use of travel information. The value of travel information is conceptualized as the extent to which the information allows the individual to make better activity–travel scheduling decisions at the beginning of the day and during execution of the schedule. By taking the broader schedule context into account, the model is sensitive to the impact of information and decisions on the full activity–travel pattern. Furthermore, the model includes Bayesian mechanisms to make sure that beliefs about travel times, and other uncertain events, and the credibility of the information source are updated each time information is received and the real travel time is experienced. This paper describes the results of numerical simulations conducted to illustrate the system and to derive theoretical implications from the model. The simulations show that the schedule context, learning, and expected information gain in combination determine the perceived value of information and that none of these factors can be ignored in the derivation of estimates of these values. A theoretical analysis further shows how decision trees can be pruned to reduce a potential problem of combinatorics.
DUCTILITY OF THIN-WALLED STEEL BOX STUB-COLUMNS

Thin-walled steel box columns are vulnerable to damage caused by local and overall interaction buckling during a major earthquake. To provide enough information for a reliable and simple ductility evaluation procedure for such structures, the attention of this study is focused on the ductility capacity of thin-walled steel box stub-columns with or without longitudinal stiffeners. Combined compression and bending loads are applied to the stub-columns to simulate the loading condition under horizontal earthquake actions. Extensive parametric analyses are carried out to investigate the relation of the stub-column ductility to various parameters such as the flange width-thickness ratio, axial force, stiffener's slenderness ratio, cross-sectional shape, and column aspect ratio. An elastoplastic large deformation finite element method analysis is employed and both residual stresses and initial deflections are taken into consideration. Consequently, empirical ductility formulas are proposed. Applications of the formulas to practical structures are presented in a companion paper.
Notes On the New Researches On the Propagation of Malaria in Relation To Engineering and Agriculture

ONE of the most recent conquests of the experimental method at this century-end is the precise knowledge now possessed of how malaria propagates itself. By the same method as far back as 111 188H I demonstrated beyond question that drinking-water is not the vehicle of malaria. Nevertheless, even ~1anson was unable to emancipate himself from that ancient prejudice when, formulating&horbar;on the analogy of his famous researches on Filccric~ ,San~rrinis Ilooa-inis-the hypothesis that gnats could suck and cultivate the malarial parasites, he invoked drinking-water as the agent in the definitive propagation of that epidemic disease. Bignami, on the other hand, maintained that the theory of Inoculation by gnats was more probable. Dionisi maintained thc same thing for the malaria of birds, and in regard to that disease I elenlonstrated by experimental inoculations that the germs of it are not found in the soil.
A Design of Millimeter-Wave Dual-Polarized SIW Phased Array Antenna Using Characteristic Mode Analysis

A millimeter-wave dual-polarized beam-scanning substrate integrated waveguide (SIW) phased array is proposed for the 5G communications. The principle of the proposed antenna radiating element is first analyzed with the characteristic mode analysis to obtain a wide operating bandwidth. Then, the horizontally and vertically polarized radiations are excited by a differentially fed SIW cavity and a linearly tapered microstrip line through the coupled slots, respectively. To further validate the proposed design, a 1 × 4 phased array is fabricated and tested. The experiment results show that the 11.0% overlapped dual-polarization bandwidth is from 25.8 to 28.8 GHz with the return loss larger than 10 dB, and the isolation between the dual-polarization is higher than 31.5 dB. The measured far-field patterns demonstrate that the beam-scanning ranges can cover <inline-formula><tex-math notation="LaTeX">$ \pm 44^\circ $</tex-math></inline-formula> <inline-formula><tex-math notation="LaTeX">${{\bf and}}$</tex-math></inline-formula> <inline-formula><tex-math notation="LaTeX">$ \pm 41^\circ \ $</tex-math></inline-formula>at 28 GHz for the horizontal and vertical polarization, respectively.