Miracle-dz/UniFAR-FTUs huggingface dataset:
An Optimal Hybrid Bi-Component Series-Parallel Structure for Time Series Forecasting

Modeling and forecasting of real-world systems have become one of the most critical needs in different science kinds. Among various factors considered in selecting an appropriate forecasting tool, accuracy is known as the most important criterion. Therefore, the most critical issue in recent forecasting studies is related to improving forecasting accuracy. These studies can be generally categorized into two categories of proposing new single models and developing hybrid models. It has been proven from both theoretical and empirical points of view that combining different models can generate superior results and improve single models' predictive performance. However, despite the popularity and the widespread use of hybrid models, some influential factors, such as the structure of hybridization, number of components, type of components, etc., affect hybrid models' performance that must be appropriately chosen by designers. It is the most challenging subject in the literature of time series forecasting in two recent decades. Several researchers examine different combinations of these factors in order to conclude which one is better. In this way, several different papers have been published in hybridization literature; however, none can prove that its proposed structure is universally better than others. Thus, this paper's primary purpose is to propose an optimal hybrid structure for time series forecasting. The proposed structure's main idea is to simultaneously use remarkable features of series and parallel structures and lift their limitations by hybridization of these two methodologies. In this way, in some parts of the modeling process, parallel structure is used, and in some other parts, the series structure is used. In this paper, a bi-component hybrid model of statistical classic and artificial intelligence models is presented as the initial implementation of the proposed methodology. Its performance is theoretically and empirically evaluated. The optimality of the proposed structure is mathematically demonstrated from the theoretical point of view. It is universally proven that the constructed hybrid model based on the proposed structure will achieve the best performance among all other hybrid models constructed based on series and parallel structures by the same conditions, e.g., number and type of components. In addition, the empirical results of ten benchmark data sets with different characteristics indicate that the profitability of the proposed structure is statistically significant.
First principles computation of insulator–semiconductor–metal transition and its impact on structural, elastic, mechanical, anisotropic and optical properties of CsSrF3 under systematic static isotropic pressure

ABSTRACT A fluro-perovskite Cesium Strontium Fluoride (CsSrF3) has been explored, for the first time, in terms of structural, elastic, mechanical, anisotropic, electronic and optical characteristics under stress ranging from 0 to 513 GPa. According to structural properties, there is no phase transition and the compound remains in its cubic structure. The mechanical features show that the material is stable except at 0 and 500–513 GPa. Moreover, the compound is stiffer, more resistant to permanent deformation and brittle up to a stress of 0–20 GPa before transitioning to a ductile state. The indirect band gap of CsSrF3 is 5.709 eV at 0 GPa, but it increases to a maximum value of 7.155 eV at 30 GPa, and further high-pressure results in a band gap of 0 eV. The presence of high external pressure proved to be very excellent due to the transition of the indirect band gap to the direct band gap and because of the insulator to semiconductor and then towards the conductor changes. To check the effect of pressure on optical properties, different optical parameters have been computed. Due to the existence of its absorption edge in the UV region, CsSrF3 would be a perfect material as a UV detector.
Brassica napus Transcription Factor Bna.A07.WRKY70 Negatively Regulates Leaf Senescence in Arabidopsis thaliana

Leaf senescence is the final stage of leaf development and is essential for storage properties and crop productivity. WRKY transcription factors have been revealed to play crucial roles in several biological processes during plant growth and development, especially in leaf senescence. However, the functions of Brassica napus WRKY transcription factors in leaf senescence remain unclear. In the present study, Bna.A07. WRKY70, one paralogue of Brassica napus WRKY70, was cloned from the B. napus cultivar “Zhongshuang11 (ZS11)”. We found that Bna.A07. WRKY70 contains a highly conserved WRKY domain and is most closely related to Arabidopsis thaliana WRKY70. The subcellular localization and transcriptional self-activation assays indicated that Bna.A07. WRKY70 functions as a transcription factor. Meanwhile, RT-qPCR and promoter-GUS analysis showed that Bna.A07. WRKY70 is predominantly expressed in the leaves of B. napus and rosette leaves of A. thaliana. In addition, our results demonstrated that ectopic expression of Bna.A07. WRKY70 in A. thaliana wrky70 mutants could restore the senescence phenotypes to wild-type levels. Consistently, the expression levels of three senescence-related marker genes of wrky70 mutants were restored to wild-type levels by ectopic expression of Bna.A07. WRKY70. These findings improve our understanding of the function of Bna.A07. WRKY70 in B. napus and provide a novel strategy for breeding the new stay-green cultivars in rapeseed through genetic manipulation.
Exact confidence sets for variance components in unbalanced mixed linear models

We present a general procedure for obtaining an exact confidence set for the variance components in a mixed linear model. The procedure can be viewed as a generalization of the ANOVA method used with balanced models. Our procedure uses, as pivotal quantities, quadratic forms that are distributed independently as chi-squared variables. These quadratic forms are constructed with reference to spaces that are orthogonal with respect to the covariance matrix of the observation vector, which is a function of the variance components. For balanced models, these pivotal quantities simplify to multiples of the sums of squares used in the ANOVA method. An exact confidence set for the vector of ratios of the effect variances to the error variance is also presented, based on the same collection of quadratic forms. Computing formulas for calculating approximations to these confidence sets are presented, and the results of their application to several two-way data sets are given.
High-resolution X-ray and radio observations of the giant elliptical galaxies NGC 4636 and 4649

Les observations Einstein HRI montrent que les deux galaxies sont des sources X mous, etendues, de luminosites ∼1,5×10 41 ergs −1 . Les observations VLA revelent la presence de radiosources etendues, de luminosites ∼10 38 ergs −1 dans les deux galaxies
Novel Experimental and Analysis Strategies for Fast Voltammetry: 2. A Troubleshoot-Free Flow Cell for FSCV Calibrations

Fast scan cyclic voltammetry (FSCV) at carbon fiber microelectrodes (CFMs) is a method traditionally used for real-time quantification of neurotransmitters in biological systems. Reliable calibration of CFMs is essential for converting FSCV signals to analyte concentrations and generally employs flow injection analysis (FIA) performed with flow cells fabricated in-house. Such FSCV FIA cells often require significant and ongoing troubleshooting with pulsing, leaking, flow inconsistencies and dead volume being major causes of common challenges. In this work, we address these issues by creating a robust, plug-and-play FSCV flow cell. This novel design permits reproducible, high-precision, and stable flow injection profiles using low-cost materials to improve FSCV calibration. The ready-to-print computer-aided designs and hardware list are provided.
When the United Nations Convention on the Rights of the Child meets Confucianism: Chinese parents' understanding of children’s right to play

This study employs a poststructuralist theoretical framework to explore parents’ attitudes towards children’s right to play in Shanghai, China. It adopted mixed methods of online questionnaires (N = 880) and semi-structured interviews (N = 11). The findings suggest that participants struggle with embracing and practising children’s right to play as defined by the United Nations Convention on the Rights of the Child (UNCRC), reflecting culturally-sensitive and -contextualised concerns around their children’s future success. Those concerns are connected with the hegemony of Confucianism in shaping educational values in Chinese education. In the context of globalisation, this paper points to the empowerment of parents in practising children’s rights to play in China.
A general framework for progressive point-sampled geometry

Recently unstructured dense point sets have become a new representation of geometric shapes. In this paper we introduce a novel framework within which several usable error metrics are analyzed and the most basic properties of the progressive point-sampled geometry are characterized. Another distinct feature of the proposed framework is its compatibility with most previously proposed surface inference engines. Given the proposed framework, the performances of four representative well-reputed engines are studied and compared.
Maximal Margin Support Vector Machine for Feature Representation and Classification

High-dimensional small sample size data, which may lead to singularity in computation, are becoming increasingly common in the field of pattern recognition. Moreover, it is still an open problem how to extract the most suitable low-dimensional features for the support vector machine (SVM) and simultaneously avoid singularity so as to enhance the SVM’s performance. To address these problems, this article designs a novel framework that integrates the discriminative feature extraction and sparse feature selection into the support vector framework to make full use of the classifiers’ characteristics to find the optimal/maximal classification margin. As such, the extracted low-dimensional features from high-dimensional data are more suitable for SVM to obtain good performance. Thus, a novel algorithm, called the maximal margin SVM (MSVM), is proposed to achieve this goal. An alternatively iterative learning strategy is adopted in MSVM to learn the optimal discriminative sparse subspace and the corresponding support vectors. The mechanism and the essence of the designed MSVM are revealed. The computational complexity and convergence are also analyzed and validated. Experimental results on some well-known databases (including breastmnist, pneumoniamnist, colon-cancer, etc.) show the great potential of MSVM against classical discriminant analysis methods and SVM-related methods, and the codes can be available on https://www.scholat. com/laizhihui.
Inferential-Statistical Reevaluation of Spent Fuel Zircaloy Cladding Integrity

Abstract From the published results of experiments investigating the effects of delayed hydride cracking (DHC) on spent fuel Zircaloy cladding integrity, relevant data have been extracted and re-analyzed, taking advantage of inferential statistics and an information-theoretic model selection criterion. Statistical tolerance intervals, the method of maximum likelihood estimation, and the Akaike information criterion, corrected for small sample size, were applied to a small sample of measured values of the threshold stress-intensity factor . The purpose was to create a well-grounded probability density function for use in a mathematical model correlating random variates of with important conditions for the initiation of crack growth by DHC, specifically, cladding hoop stress and the depth and shape of surface flaws. A selection criterion purposely designed for small sample sizes and the robust nature of inferential statistics were ideally suited for the intended reevaluation. The fidelity of the mathematical model was protected by the exclusion of any simplifying approximations, e.g., substitution of constants or single-valued descriptive statistics for variables. The probabilistic effect of the random variable was thereby precisely mapped onto the linearly correlated variable, threshold cladding hoop stress, as a function of surface flaw depth and shape. Contour plots of the results constitute significant improvements over previous quantitative single-point estimates of the effects of DHC on spent fuel Zircaloy cladding integrity.
Series expansions of multi-dimensional Mellin convolution integrals

In a recent paper [Lopez JL. Asymptotic expansions of Mellin convolution integrals. SIAM Rev. 2008;50(2):275–293], we have presented a new, very general and simple method for deriving asymptotic expansions of for small x. In this paper we generalize that method to multi-dimensional integrals of the form . In this multi-dimensional case we require for f an extra condition not required in the one-dimensional case, namely, f must satisfy a certain homogeneity property in its variables. Watson's lemma for multiple integrals is obtained as a corollary. An asymptotic expansion of the Lauricella's function FA for large values of its variables is given as an illustration. The possible application of the method to study the asymptotic behaviour near the origin of double Mellin–Barnes type convolution integrals [Yakubovich SB. A constructive method for constructing integral convolutions. (Russian) Dokl Akad Nauk BSSR. 1990;34(7):588–591] is also indicated.
Changing etiology of sympathetic ophthalmia: A 10-year study from a tertiary referral center in Taiwan

PURPOSE: In this study, we describe our experience of sympathetic ophthalmia (SO) at a tertiary referral center in Taiwan. MATERIALS AND METHODS: We retrospectively analyzed records of patients diagnosed with SO from January 2011 to December 2020. RESULTS: We collected data of 15 patients diagnosed with SO (eight males, seven females). Six patients developed SO after ocular penetrating trauma, and nine developed SO after ocular surgery, including seven with vitrectomy, one with penetrating keratoplasty, and one with cataract surgery. Penetrating ocular trauma was the primary cause of SO in the first 5 years (four of six cases), but the proportion was much lower in the last 5 years (two of nine cases). The interval between trigger events and SO ranged from 0.2 to 120 months. Nine patients received oral steroids alone, five patients received methylprednisolone pulse therapy followed by oral steroids, and immunosuppressants were added in four cases. Visual acuity of sympathetic eyes and exciting eyes improved after treatment. The initial visual acuity of sympathetic eyes in trauma related and ocular surgery related revealed no significant difference, but the final visual acuity of sympathetic eyes was better in ocular surgery-related cases than in the trauma-related cases (mean ± standard deviation, 1.01 ± 1.33 versus 0.49 ± 0.68 logarithm of the minimum angle of resolution, P = 0.021). CONCLUSIONS: With the increased number of eye surgeries performed in recent years, eye surgery has emerged as the dominant etiology of SO in our 10-year study. Early detection and proper treatment help to maintain vision in most of the SO patients.
An NMF-framework for Unifying Posterior Probabilistic Clustering and Probabilistic Latent Semantic Indexing

In document clustering, a document may be assigned to multiple clusters and the probabilities of a document belonging to different clusters are directly normalized. We propose a new Posterior Probabilistic Clustering (PPC) model that has this normalization property. The clustering model is based on Nonnegative Matrix Factorization (NMF) and flexible such that if we use class conditional probability normalization, the model reduces to Probabilistic Latent Semantic Indexing (PLSI). Systematic comparison and evaluation indicates that PPC is competitive with other state-of-art clustering methods. Furthermore, the results of PPC are more sparse and orthogonal, both of which are highly desirable.
Multiband modelling of the Sun as a variable star from VIRGO/SoHO data

The time series of total solar irradiance (TSI) and optical spectral irradiance at 402, 500 and 862 nm (SSIs) obtained by the VIRGO experiment on board the satellite SoHO are analysed in order to model their variability in the framework of a purely stellar-like approach. The different time scales of variability are estimated by means of the pooled variance method revealing the growth and decay of sunspots and faculae in active regions, as well as their rotationally modulated visibility. The determination of the rotation period of the Sun from the time modulation of the TSI and SSIs is made difficult by the short lifetimes of photospheric brightness inhomogeneities in comparison to the rotation period. Only during the phases with the lowest level of activity of solar cycle 23, when the variability is dominated by long-lived faculae, is it possible to determine the truly solar synodic period. The simultaneous modelling of the rotational modulation of the TSI and SSIs can be performed by means of a simple stellar-like approach which extends the model we previously applied to the TSI modulation alone (Lanza et al. 2003). Our model yields residuals about 20-30 times smaller than the amplitudes of the TSI and SSI variations in all the phases of the 11-yr activity cycle. The determination of the model parameters, including the temperature of the surface brightness inhomogeneities and the trade-off among them are discussed and compared with the results obtained with different modelling approaches. The advantages and the drawbacks of applying the model to other stars are also considered.
An Experimental Study of Submillimeter-Wave Horn Antennae for a Submillimeter-Wave Array

This paper aims to introduce two types of submillimeter-wave horn antennae designed by the authors and to present numerical findings obtained by an evaluative testing system that has also been developed by the authors. Submillimeter-wave components are widely used in radio-astronomical observation systems. There is a need to minimize (1) the various losses possibly incurred in the wave-receiving unit, and (2) the quantity of the unwanted electromagnetic waves mixing in. It is a well-known fact that a corrugated horn antenna possesses very low levels of cross-polarized field intensity, loss, and side lobes. It is for this reason that the authors have chosen to use corrugated horn antennae as two types of such antennae — one designed for use in the range of 280GHz to 360GHz frequencies and tested at 280GHz, 332GHz, and 360GHz, and the other designed for use in the range of 385GHz to 500GHz frequencies and tested at 385GHz, 442.5GHz, and 500GHz. The measurements of the antenna beam patterns have been found to largely correspond to those of the numerical analyses; it may be concluded that the antennae are functionally as efficient as they were designed and the testing system doubtless serves the desired purpose.
Variable range hopping conduction in multiwalled carbon nanotubes

An experimental study of electrical transport phenomena in magnetic-fields H up to 5 T in pressed samples of a porous system composed of multiwalled carbon nanotubes is reported. The exp[(T0/T)1/4] temperature dependence in the zero-field dc electrical resistance R(0) is found at low temperatures. Below 50 K, transverse magnetoresistance (MR), [R(H)−R(0)]/R(0), is negative. In the weak-field region (H<0.1 T), the negative MR is quadratic in H, and becomes linear in the field range 0.1–0.3 T. The linear and negative MR shows T−0.65±0.06 temperature dependence. The temperature dependence of R(0) is described in terms of Mott’s law for three-dimensional variable range hopping (3D VRH) conduction. The low-field magnetotransport features support a predicted quantum interference effect on 3D VRH conduction.
Are ELISA and PCR Discrepancies in the Identification of Chlamydia pneumoniae Caused by the Presence of “Chlamydia-Related Bacteria”?

Chlamydia are Gram-negative, intracellular pathogens colonizing the epithelial mucosa. They cause primarily atypical pneumonia and have recently been associated with chronic diseases. Diagnostics rely almost exclusively on serological methods; PCR tests are used rarely because in patients with positive ELISA, it is nearly impossible to identify chlamydial DNA. To understand this issue, we elaborated a reliable and sensitive nested PCR method (panNPCR) for identifying all Chlamydiales species, not only in sputa, but also in clotted blood. Sequencing of the PCR product revealed that 41% of positive sputa samples and 66% of positive blood samples were not infected by Chlamydia but with “Chlamydia-related bacteria” such as Rhabdochlamydia sp. , Parachlamydia sp. , Protochlamydia sp. , Neochlamydia sp. , Mesochlamydia elodeae and lacustris, Piscichlamydia salmonis, and Estrella lausannensis. Consequently, we propose that there might be more than four human pathogenic Chlamydia species. We did not find any clear correlation between increased levels of antibodies and the presence of their DNA. Chlamydialles DNA was found in sputa samples from individuals positive for IgG or IgA but not in blood samples. Thus, elevated IgG and IgA levels are not reliable markers of chronic infection, and the presence of persistent forms should be proved by panNPCR. Apparently, the differences between ELISA and DNA amplification results have three main methodological reasons. The first one is the threshold occurrence of chlamydial genetic material in sputum and blood. The second one is the fact that a significant part of the samples can have DNA with sequences different from those of other species of the order Chlamydiales. The third one is the high background characteristic for ELISA, the absence of paired sera, and the vague interpretation of the gray zone.
Dynamic Consensus and Formation: Fixed and Switching Topologies

Abstract This paper addresses the dynamic consensus and formation problems of multi-agent systems for both leader-less and leader-follower cases under fixed and switched topologies. Necessary and/or sufficient conditions are presented in terms of graph topology, detectability, stabilizability, rank condition and Lyapunov inequality constraints. These conditions explicitly reveal how the intrinsic dynamics of the agents and the communication topology affect consensusability and formationability. In addition, several constructive procedures for protocol design are proposed to achieve consensus and formation. In particular, the so-called separation principle is established, which simplifies the design procedure greatly.