Miracle-dz/UniFAR-FTUs huggingface dataset:
PTGCF: Printing Texture Guided Color Fusion for Impressionism Oil Painting Style Rendering

As a major branch of Non-Photorealistic Rendering (NPR), image stylization mainly uses computer algorithms to render a photo into an artistic painting. Recent work has shown that the ex-traction of style information such as stroke texture and color of the target style image is the key to image stylization. Given its stroke texture and color characteristics, a new stroke rendering method is proposed. By fully considering the tonal characteristics and the representative color of the original oil painting, it can fit the tone of the original oil painting image into a stylized image whilst keeping the artist’s creative effect. The experiments have validated the efficacy of the proposed model in comparison to three state-of-the-arts. This method would be more suitable for the works of pointillism painters with a relatively uniform style, especially for natural scenes, otherwise, the results can be less satisfactory.
Efficient SAR Imaging Integrated With Autofocus via Compressive Sensing

In synthetic aperture radar (SAR) imaging, perturbations in the motion of the moving platform induce an undesired phase error due to imprecise knowledge of the motion, which results in the significant degradations in the quality of SAR images. In this letter, we present an efficient compressive sensing (CS)-based SAR imaging integrated with autofocus technique. The novel approach is based on an estimation-theoretic $l_{1}$ -norm-based approach coupled with Tikhonov-type regularization which combines an observation model of the SAR image formation process with the CS reconstruction problem of the SAR image regarding the sparsity. The optimization problem derived by considering spatially variant phase errors along azimuth domain and the dataset sampled at low rates can be effectively addressed by an efficient iterative method, wherein each iteration both SAR image formation and phase error correction are simultaneously carried out. The simulations and experimental results are presented to validate the effectiveness of the proposed method in terms of reliable image recovery and efficient computational complexity.
A Preliminary Study of the Triarchic Psychopathy Personality Dimensions of College Accounting Students in China

Professional accountants take an important role in the business and economic activities, and university accounting students are potential candidates of professional accountant in future. As such, to be successful in the accounting profession, it might be that an individual must have certain personality characteristics and skills. One such trait recently proposed in personality literature is that of psychopathy. Data from 105 college accounting students in China were collected and underwent descriptive statistics and correlation analysis on the triarchic psychopathy personality dimensions of boldness, disinhibition, and meanness. Findings of this study suggested that university accounting students mostly possess boldness personality; a finding which aligns well with the personality characteristics of those who work in the accounting field. In addition, findings indicated that the personality dimensions of boldness are significantly correlated with meanness, which in turn was significantly correlated with disinhibition. The findings of the correlation among the three personality dimensions align with the required characteristics to fulfill the role of a professional accountant. The results however cannot be generalized to all accounting students in China due to its conservative sample size and used of non-probability sampling. Nevertheless, findings reported here provide information to the accountancy professional bodies on their members recruitment and continuous professional development strategies. As for the students who would like to choose accounting as their major or those who would like to enter the accounting profession, the findings from this study helps to assess their suitability of becoming a professional accountant in future.
Numerical Investigation and Experimental Verification of the Fluid Cooling Process of Typical Stator–Rotor Machinery with a Plate-Type Heat Exchanger

This paper discusses the heat transfer process for a typical stator–rotor machinery-hydrodynamic retarder from the perspective of computational fluid dynamics and experimental means. Fluid cooling is an essential step in the working process of hydrodynamic retarders, and changes in viscosity along with temperature rise will affect the performance of braking. To investigate the heat transfer process of stator–rotor machinery, a novel computational fluid dynamics (CFD) method, combined with a dynamic thermophysical property transfer algorithm, is proposed. A heat-flow coupling numerical method with experimental verification is proposed, in which the density and the viscosity are variable with the temperature in an effectiveness–number of transfer units (P-NTU) method. The results show that the numerical results are in good agreement with the experimental data, with a 0.1–2.5% error. The influence of an asymmetric structure on heat transfer characteristics is discussed. The results show that the optimal braking performance, along with the liquid cooling performance, is achieved under outlets with an inlet passage set as 90 degrees.
Acute Effects of Intratumor DNA Electrotransfer

Intratumor therapeutic DNA electroporation or electrotransfer is in clinical trials in the United States and is under development in many other countries. Acute changes in endogenous gene expression in response to DNA or to pulse application may significantly modulate the therapeutic efficacy of the expressed proteins. Oligonucleotide arrays were used in this study to quantify changes in mRNA expression in B16-F10 mouse melanoma tumors four hours after DNA electrotransfer. The data were subjected to the DAVID v6.8 web server for functional annotation to reveal regulated genes and genetic pathways. Gene ontology analysis revealed several molecular functions related to cytoskeletal remodeling and inflammatory signaling. In B16-F10 cells, F-actin remodeling was confirmed by phalloidin staining in cells that received pulse application alone or in the presence of DNA. Chemokine secretion was confirmed in cells receiving DNA electrotransfer. These results indicate that pulse application alone or in the presence of DNA may modulate the therapeutic efficacy of therapeutic DNA electrotransfer.
Shear Bond Strength and Mode of Failure of Polypropylene Fibers in Orthodontic Flash-Free Adhesive

The purpose of this research is to evaluate the effects of magnetostrictive and piezoelectric scalers on the shear bond strength (SBS), failure mode of the polypropylene fiber adhesive brackets, and the load of both scaler tips. The adhesive precoated (APC) Flash-Free brackets were placed on the buccal surfaces of sixty maxillary first premolars, which were divided into three equal groups of 20 specimens each, following the control group (no scaling), the magnetostrictive group, and the piezoelectric group. All specimens were measured for SBS value by using a universal testing machine at a crosshead speed of 0.75 mm/minute. The mode of failure was examined under a×10 magnification light microscope digital camera and scores for the adhesive remnant index (ARI) were recorded and measured load between the magnetostrictive and piezoelectric groups. For statistical analysis, ANOVA and multiple comparison, as well as unpaired t-test and chi-square tests, at the 0.05 significance level were used. The results showed that the average SBS value of the control group was greater than that of the magnetostrictive group and the piezoelectric group. However, the SBS was not significantly influenced by ultrasonic instruments (p > 0.05). The ARI score and load showed no significant differences among the groups (p > 0.05). In conclusion, the SBS of the APC Flash-Free bracket wasn’t affected by using ultrasonic instrumentation around the base of the bracket.
Positive Psychology Based on Cognitive and Behavioural Intervention among Adolescents with Learning Difficulties: Current and Future Application

As a group with "special needs," adolescent students with learning difficulties have been the subject of much social and societal attention because of the difficulties they face in both their academic and socialization processes. If these students do not receive appropriate education, the progress of society will be greatly reduced, which highlights the important practical value and significance of studying learning difficulties. Moreover, adolescents with learning difficulties commonly suffer from low academic achievement as well as low self-efficacy, which will affect their well-being in life. Both pedagogy and positive psychology have many different interventions to achieve increased student well-being or academic achievement. However, positive thinking interventions for adolescents with learning difficulties are still being explored. Therefore, this thesis will stand in the perspective of positive psychology combined with cognitive therapy to explore the common dilemmas currently faced by adolescents with learning difficulties, as well as effective measures for improvement and the dimensions of measurement needed and to provide an outlook on future related research.
Analyse mathématique et numérique de systèmes hyperélastiques et introduction de la plasticité

L'objectif de cette these est la modelisation et la simulation numerique des phenomenes dynamiques solides en plasticite finie. On propose un modele dit hyperelasto-plastique base sur le systeme de lois de conservation de l'hyperelasticite et l'utilisation d'une equation d'etat construite de maniere a satisfaire le critere de plasticite de Von Mises. Ce modele nous permet d'exhiber des solutions exactes de type dedoublement de chocs pour les experiences d'impact de plaques. Dans la partie numerique, on presente des schemas numeriques lagrangiens de type Volumes Finis 1D plan et 2D satisfaisant un critere d'entropie. Grâce a une discretisation particuliere des equations cinematiques, on verifie des contraintes involutives discretes. Tout au long de cette these, la degenerescence du modele solide sur les modeles hydrodynamiques est etudiee au niveau continu et obtenue numeriquement. Sur divers cas tests, le modele et les schemas numeriques sont valides.
Emerging Research Topics in the Vibrionaceae and the Squid–Vibrio Symbiosis

The Vibrionaceae encompasses a cosmopolitan group that is mostly aquatic and possesses tremendous metabolic and genetic diversity. Given the importance of this taxon, it deserves continued and deeper research in a multitude of areas. This review outlines emerging topics of interest within the Vibrionaceae. Moreover, previously understudied research areas are highlighted that merit further exploration, including affiliations with marine plants (seagrasses), microbial predators, intracellular niches, and resistance to heavy metal toxicity. Agarases, phototrophy, phage shock protein response, and microbial experimental evolution are also fields discussed. The squid–Vibrio symbiosis is a stellar model system, which can be a useful guiding light on deeper expeditions and voyages traversing these “seas of interest”. Where appropriate, the squid–Vibrio mutualism is mentioned in how it has or could facilitate the illumination of these various subjects. Additional research is warranted on the topics specified herein, since they have critical relevance for biomedical science, pharmaceuticals, and health care. There are also practical applications in agriculture, zymology, food science, and culinary use. The tractability of microbial experimental evolution is explained. Examples are given of how microbial selection studies can be used to examine the roles of chance, contingency, and determinism (natural selection) in shaping Earth’s natural history.
Quantum Teleportation and Von Neumann Entropy

The single qubit quantum teleportation (sender and receiver are Alice and Bob respectively) is analyzed from the aspect of the quantum information theories. The various quantum entropies are computed at each stage, which ensures the emergence of the entangled states in the intermediate step. The mutual information $S(B:C)$ becomes non-zero before performing quantum measurement, which seems to be consistent to the original purpose of the quantum teleportation. It is shown that if the teleported state $|\psi>$ is near the computational basis, the quantum measurement in $C$-system is dominantly responsible for the joint entropy $S(A,C)$ at the final stage. If, however, $|\psi>$ is far from the computational basis, this dominant responsibility is moved into the quantum measurement of system $A$. A possible extension of our results are briefly discussed.
Chemical analysis of CH stars - II. Atmospheric parameters and elemental abundances

We present detailed chemical analyses for a sample of 12 stars selected from the CH star catalogue of Bartkevicius. The sample includes two confirmed binaries, four objects that are known to showradial velocity variations and the rest with no information on the binary status. A primary objective is to examine if all these objects exhibit chemical abundances characteristics of CH stars, based on detailed chemical composition study using high-resolution spectra. We have used high-resolution (R similar to 42 000) spectra from the ELODIE archive. These spectra cover 3900 to 6800 angstrom in the wavelength nge. We have estimated the stellar atmospheric parameters, the effective temperature T-eff, the surface gravity log g, and metallicity [Fe/H] from local thermodynamic equilibrium analysis using model atmospheres. Estimated temperatures of these objects cover a wide range from 4200 to 6640 K, the surface gravity from 0.6 to 4.3 and metallicity from -0.13 to -1.5. We report updates on elemental abundances for several heavy elements, Sr, Y, Zr, Ba, La, Ce, Pr, Nd, Sm, Eu and Dy. For the object HD 89668, we present the first abundance analyses results. Enhancement of heavy elements relative to Fe, a characteristic property of CH stars is evident from our analyses in the case of four objects, HD 92545, HD 104979, HD 107574 and HD 204613. A parametric-model-based study is performed to understand the relative contributions from the s- and r-process to the abundances of the heavy elements.
Identification of Grape Leaf Diseases Using Proposed Enhanced VGG16

Due to the damage that various tree diseases cause to agricultural fields, there are always different methods to deal with them. This paper proposes a new algorithm to identify three common grapevine diseases: Downey Mildew, Anthracnose, and Powdery Mildew. This new algorithm is based on the Faster Region-based Convolutional Neural Networks (R-CNN) with an Enhanced VGG16 model. The proposed Enhanced VGG16 model can diagnose better these three types of diseases. Experimental results show that the proposed algorithm has 0.53%, 0.912%, 2.759%, and 7.268% improvement in the mean Average Precision (mAP) criterion compared to ResNet50, VGG16, GoogLeNet, and AlexNet networks, respectively. The precision of the proposed method is better than other methods, and the number of layers used in it is acceptable compared to other methods.
Modification of smeared phase transitions by spatial disorder correlations

Phase transitions in disordered systems can be smeared if rare spatial regions develop true static order while the bulk system is in the disordered phase. Here, we study the effects of spatial disorder correlations on such smeared phase transitions. The behaviors of observables are determined within optimal fluctuation theory. We show that even short-range correlations can qualitatively modify smeared phase transitions. For positive correlations (like impurity atoms attract each other), the order parameter is enhanced, while it is suppressed for repulsive correlations (like atoms repel each other). We use computer simulations to generate various types of disorder correlations, and to verify our theoretical predictions.
STATISTICS OF X-RAY POLARIZATION MEASUREMENTS

The polarization of an X-ray beam that produces electrons with velocity components perpendicular to the beam generates an azimuthal distribution of the ejected electrons. We present methods for simulating and for analyzing the angular dependence of electron detections which enable us to derive simple analytical expressions for useful statistical properties of observable data. The derivations are verified by simulations. While we confirm the results of previous work on this topic, we provide an extension needed for analytical treatment of the full range of possible polarization amplitudes.
Joint Sliding-Mode Controller and Observer for Vehicle Platoon Subject to Disturbance and Acceleration Failure of Neighboring Vehicles

This article designs a jointly distributed adaptive sliding-mode controller (DASMC) and disturbance observer (DO) for a heterogeneous platoon of connected vehicles (CVs) subject to disturbance and acceleration failure of neighboring vehicles under the multifold common communication topologies. To circumvent the effects of disturbance and acceleration failure of neighboring vehicles, the disturbance arising from the vehicle heterogeneity and nonlinearity as well as the acceleration of neighboring vehicles is jointly estimated as a lumped disturbance by a DO. In particular, the sliding-mode surface with adaptive law is designed based on the defined lumped errors to support the diversity of communication topologies. Then, the DASMC with DO is designed according to the vehicle dynamic model. Meanwhile, the stability of the designed DASMC with DO is analyzed based on the Lyapunov technique. In addition, the string stability of the CV platoon is proved. Finally, the capabilities of the developed control scheme are demonstrated by the simulation and experiment under different communication topologies and compared with existing methods.
STRUCTURE OF THE INNER JET OF OJ287 FROM VLBA DATA AT 15 GHz IN SUPER-RESOLUTION MODE

In this work we show the results obtained from the Very Long Baseline Array data at 15 GHz of OJ287 in super-resolution mode. The data showed a jet configuration in the form of a “fork” where superluminal components emerge via stationary components at the northwest and the southeast close to the core to form parallel trajectories along the southwest direction in the plane of sky. This agrees with a source structure of an extended, broad morphology of OJ287.
From Mushroom-Peaches to Disease Prediction: Deep Learning Approaches

Recent years have seen a noticeable shift towards the use of automated mechanisms by medical professionals for disease identification with an aim to also eventually predict life threatening diseases. The use of Artificial Intelligence is at the centre of such automated approaches, generally powered by the magnitude of rich datasets of medical imaging. Current approaches involving Machine Learning and other associated technologies have shown promising results in this domain with somewhat accurate detection of certain diseases. However, there are limitations with respect to resource consumption and accurate detection and a significant lack of accurate prediction models. This paper presents a thorough analysis to understand the origins of disease detection through object localisation. Discussion in this paper is based on the identification of certain fruits and vegetables that have complicated visual attributes from machine’s perspective. This analogy is then used to enhance the understanding of disease detection that can lead to accurate prediction.
Modélisation probabilistes des cartes auto-organisées : Application en classification et en régression

La these tente de rapprocher les methodes statistiques et les methodes neuronales. L'algorithme de kohonen som est explique dans le cadre du formalisme des nuees dynamiques. Ensuite une modelisation probabiliste des cartes topologiques est proposee avec un algorithme d'apprentissage non supervise qui maximise le critere du maximum de vraisemblance
Design of a Capacitorless DRAM Based on a Polycrystalline-Silicon Dual-Gate MOSFET with a Fin-Shaped Structure

In this study, a capacitorless one-transistor dynamic random-access memory (1T-DRAM) cell based on a polycrystalline silicon dual-gate metal-oxide-semiconductor field-effect transistor with a fin-shaped structure was optimized and analyzed using technology computer-aided design simulation. The proposed 1T-DRAM demonstrated improved memory characteristics owing to the adoption of the fin-shaped structure on the side of gate 2. This was because the holes generated during the program operation were collected on the side of gate 2, allowing an expansion of the area where the holes were stored using the fin-shaped structure. Therefore, compared with other previously reported 1T-DRAM structures, the fin-shaped structure has a relatively high retention time due to the increased hole storage area. The proposed 1T-DRAM cell exhibited a sensing margin of 2.51 μA/μm and retention time of 598 ms at T = 358 K. The proposed 1T-DRAM has high retention time and chip density, so there is a possibility that it will replace DRAM installed in various applications such as PCs, mobile phones, and servers in the future.
Rural development in the digital age: Does information and communication technology adoption contribute to credit access and income growth in rural China?

Information and communication technology (ICT) plays an important role in rural livelihoods and household well-being. Therefore, this study examines the impact of ICT adoption on farmers' decisions to access credit and the joint effects of ICT adoption and access to credit on household income using 2016 China Labour-force Dynamics Survey data. Both recursive bivariate probit model and a selectivity-corrected ordinary least square regression model are employed for the analysis. The results show that ICT adoption increases the probability of access to credit by 12.8% in rural China and empowers rural women and farm households in relatively less-developed regions to access credit. ICT adoption and access to credit affect household income differently. ICT adoption significantly increases household income, while access to credit significantly reduces it, primarily because farmers do not use the acquired credit to invest in income-generating farm and off-farm business activities. ICT adoption has the largest positive impact on household income at the highest 90th quantile. Our findings suggest that improving rural ICT infrastructure to enhance farmers' ICT adoption and developing
Application of the inverse Hamiltonian method to Hartree-Fock-Bogoliubov calculations

We solve the Hartree-Fock-Bogoliubov (HFB) equations for a spherical mean field and a pairing potential with the inverse Hamiltonian method, which we have developed for the solution of the Dirac equation. This method is based on the variational principle for the inverse Hamiltonian, and is applicable to Hamiltonians that are bound neither from above nor below. We demonstrate that the method works well not only for the Dirac but also for the HFB equations.