Miracle-dz/UniFAR-FTUs huggingface dataset:
Hydrogen-induced reversible changes in drain current in Sc2O3/AlGaN/GaN high electron mobility transistors

Pt contacted AlGaN/GaN high electron mobility transistors with Sc2O3 gate dielectrics show reversible changes in drain–source current upon exposure to H2-containing ambients, even at room temperature. The changes in current (as high as 3 mA for relatively low gate voltage and drain–source voltage) are approximately an order of magnitude larger than for Pt/GaN Schottky diodes and a factor of 5 larger than Sc2O3/AlGaN/GaN metal–oxide–semiconductor (MOS) diodes exposed under the same conditions. This shows the advantage of using a transistor structure in which the gain produces larger current changes upon exposure to hydrogen-containing ambients. The increase in current is the result of a decrease in effective barrier height of the MOS gate of 30–50 mV at 25 °C for 10% H2/90% N2 ambients relative to pure N2 and is due to catalytic dissociation of the H2 on the Pt contact, followed by diffusion to the Sc2O3/AlGaN interface.
FREE VIBRATIONS OF ANNULAR PLATES COUPLED WITH FLUIDS

Abstract The natural frequencies of annular plates on an aperture of an infinite rigid wall and in contact with a fluid on one side are theoretically obtained by using the added mass approach. The fluid is assumed to be incompressible and inviscid and the velocity potential describes its irrotational motion. The Hankel transform is applied to solve the fluid–plate coupled system; boundary conditions are expressed by integral equations. Mode shapes are first assumed not to be modified by the fluid. Accurate numerical results are given for different plate boundary conditions; they are suitable for engineering applications. The accuracy of the assumed-modes approach is theoretically studied by using the Rayleigh–Ritz method that removes the simplifying hypothesis that dry and wet mode shapes are the same. Eigenfunctions of the plate vibrating in vacuum are assumed as admissible functions and the Rayleigh quotient for coupled vibration is used to obtain a Galerkin equation. It was found that the fundamental mode and frequency, for all the plate boundary conditions considered, is well estimated by the assumed-modes approach; higher modes are computed with less accuracy by this formula and for some enhanced applications the Rayleigh–Ritz approach is necessary.
Critical screening parameters for screened Coulomb potentials

The authors develop a simple numerical method to integrate one-dimensional eigenvalue equations and apply it to the calculation of critical screening parameters for screened Coulomb potentials. The method is based on the propagation matrix for the solutions of the eigenvalue equation and its accuracy is easily and systematically improved provided the coefficients of the eigenvalue equation can be expanded in a Taylor series about every point of the grid. They show results for the static screened and exponential cosine screened Coulomb potentials.
The influence of NIR femtosecond laser radiation on the viability of 3D stem cell clusters and tumor spheroids

Adult human and rat pancreas stem cells as well as tumor spheroids were irradiated with femtosecond laser pulses in the near infrared (NIR) spectral range at high transient GW/cm2 and TW/cm2 intensities. The cellular response to the laser exposure was probed by the detection of modifications of NAD(P)H autofluorescence, the formation of reactive oxygen species (ROS) and DNA strand breaks (TUNEL-assay), and viability (live/dead test). The results confirm that long-term scanning of stem cells can be performed at appropriate laser exposure parameters without a measurable impact on the cellular metabolism and vitality. In addition, it was proven that a targeted inactivation of a particular single stem cells or a single tumour cell inside a 3D cell cluster using single point illumination at TW/cm2 laser intensities can be performed without affecting neighbouring cells. Therefore multiphoton microscopes can be considered as biosafe tools for long-term analysis of stem cells as well as highly precise optical knocking out of single cells within cell clusters and tissues.
Multiple Roles of the Stress Sensor GCN2 in Immune Cells

The serine/threonine-protein kinase general control nonderepressible 2 (GCN2) is a well-known stress sensor that responds to amino acid starvation and other stresses, making it critical to the maintenance of cellular and organismal homeostasis. More than 20 years of research has revealed the molecular structure/complex, inducers/regulators, intracellular signaling pathways and bio-functions of GCN2 in various biological processes, across an organism’s lifespan, and in many diseases. Accumulated studies have demonstrated that the GCN2 kinase is also closely involved in the immune system and in various immune-related diseases, such as GCN2 acts as an important regulatory molecule to control macrophage functional polarization and CD4+ T cell subset differentiation. Herein, we comprehensively summarize the biological functions of GCN2 and discuss its roles in the immune system, including innate and adaptive immune cells. We also discuss the antagonism of GCN2 and mTOR pathways in immune cells. A better understanding of GCN2′s functions and signaling pathways in the immune system under physiological, stressful, and pathological situations will be beneficial to the development of potential therapies for many immune-relevant diseases.
Based on the Results of PEDV Phylogenetic Analysis of the Most Recent Isolates in China, the Occurrence of Further Mutations in the Antigenic Site S1° and COE of the S Protein Which Is the Target Protein of the Vaccine

The continuous challenge of existing vaccine systems by porcine epidemic diarrhea virus (PEDV) variant strains in recent years, it caused significant economic losses in the global swine industry. A PEDV virulent strain CH/HLJBQL/2022 was successfully isolated in China in this study. A genome-wide based phylogenetic analysis suggests that CH/HLJBQL/2022 belongs to the GII subtype, and 96.3%–99.6% homology existed in the whole genomes of other strains. For the first time, simultaneous mutations of four amino acids were found in the highly conserved membrane (M) and nucleocapsid (N) proteins, as well as five amino acid mutations that differed from the vast majority of strains in the spike (S) protein. Mutations in the M and S proteins were found to produce coils with different angles by building 2D and 3D structural models. Epitope analysis indicated that the isolates produced specific changes and that the transmembrane function of the M protein had not been affected. In addition, typing markers exist during strain evolution, but isolates are using the fusion of specific amino acids from multiple variant strains to add additional features, as also demonstrated by protein alignments and 3D models of numerous subtype strains. These results suggest that aa mutations in the M and S proteins may have changed the structure and antigenic epitope of the isolates and PEDV is evolving again on the basis of variants that have been found to counteract the immune network of the new vaccine.
A neural network based approach for surveillance and diagnosis of statistical parameters in IC manufacturing process

Presents a new approach for monitoring and diagnosing potential faults in the IC manufacturing process. A backpropagation neural network based diagnosing model is employed to synthesize the complicated mapping from process measurements to the unmeasurable process disturbances. This model is trained to detect significant shifts of the disturbances. Due to the inverse mapping diagnosis becomes very efficient and is quite promising for real time applications. Several mathematical issues involved in this approach and an illustrative example are discussed. <<ETX>>
Regional intellectual capital (RIC) indicators in Indonesia

Abstract This study aims to identify acceptable RIC indicators for Indonesian conditions. The article discusses RIC indicators developed from NICs modified from Bontis’s and tailored to the requirements of Indonesia. The research was carried by utilizing data from IC disclosures in 38 Indonesian areas. There are three phases to the process. The first process is in-depth interviews, followed by focus group discussions (FGD), and finally by rediscussion. As a result, human capital in Indonesia, as measured by education, knowledge, and competence, is an example of capacity at the regional level. Customer or national loyalty, exposure to navigation, flexibility, and adaptation are key capital market points in Indonesia. Human capital in Indonesia is an example of capability, as measured by education, knowledge, and competence. Customer or national loyalty, exposure to navigation, flexibility, and adaptation are key capital market points in Indonesia. Meanwhile, the corporate environment, government presence, and knowledge transfer are used to assess process capital. GDP is a proxy for regional financial capital. The renewal capital index is based on basic research, R&D investment, and employer-university partnership. The model is unique in that it includes regional economic capital. The RIC indicators presented in Indonesia’s regions provide the user with numerous options, and the choice can be based on practical considerations such as the availability of needed data, the ease of implementation of the model, or the extent of complexity.
Quality and Microbiological Safety of Poultry Meat Marinated with the Use of Apple and Lemon Juice

The aim of the study was to evaluate the use of apple juice for the marinating of poultry meat and its effect on the technological as well as sensory characteristics and microbiological safety of the raw product after heat treatment. Broiler chicken breast muscles were marinated for 12 h in apple juice (n = 30), a mixture of apple and lemon juice (n = 30) and compared with those in lemon juice (n = 30). The control group (n = 30) consisted of unmarinated breast muscles. Following the evaluation of the technological parameters (pH, L*, a*, b* colour, cutting force, cooking losses) quantitative and qualitative microbiological evaluations were performed on the raw and roasted products. The microbiological parameters were determined as total Mesophilic aerobic microorganisms, Enterobacteriaceae family, and Pseudomonas count. The bacterial identification was performed using a matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry. The marinating resulted in lower pH value, but increased tenderness of raw and roasted products. Marinating chicken meat in both apple and lemon juices, including their mixtures and in the control sample, resulted in increased yellow saturation (b*). The highest flavour desirability and overall desirability were obtained in products marinated using a mixture of apple and lemon juice, while the most desirable aroma was obtained from products marinated with apple juice. A significant antimicrobial effect was observed in marinated meat products compared to unmarinated, irrespective of the type of marinade used. The lowest microbial reduction was observed in the roasted products. Apple juice can be used as a meat marinade because it promotes interesting sensory properties and improves the microbiological stability of poultry meat while maintaining the product’s good technological characteristics. It makes a good combination with the addition of lemon juice.
Analysis and synthesis of six voice qualities

This is a preliminary study reporting on the acoustic analysis and synthesis of six selected voice qualities; speech, falsetto, low‐larynx, twang, belting, and opera. The purpose of this investigation is to test the ability of the source‐filter model to synthesize this wide range of voice qualities. Five vowels, /i/,/e/,/a/,/o/, and /u/, in six voice qualities spoken by a trained female speaker were recorded in a treated sound booth, allowing SPL and F0 to free vary with a normal decay at the end of each token. These recorded signals were digitized directly onto a computer. Inverse filtering of vowel sounds was performed using the linear prediction technique. Parameters of voice source were extracted from the inverse filtered signal. Also, the spectral envelopes of the vowels were obtained. The six voice qualities were synthesized and compared with the original recording. Informal listening tests indicated little difference between the original and the synthesized tokens, thereby confirming the analysis p.
Dynamical stability of two-dimensional accretion flows : an analytic study

The eigenvalue problem is solved for nonaxisymmetric normal modes (the «Papaloizou-Pringle» instability) in a two-dimensional shearing flow with steady accretion. Asymptotic techniques are used to derive (analytically) explicit expressions for eigenfunctions of the unstable modes, and their growth rate. These expressions allow us to demonstrate the stabilizing effect of transonic accretion and to identify the physical cause for this stabilization
Strength Differences Arising from Homogeneous Versus Heterogeneous Dislocation Nucleation

We show that it is possible to distinguish between homogeneous and heterogeneous dislocation nucleation on the basis of differences in experimentally measured theoretical strengths. From nanoindentation tests, the critical shear stress for dislocation nucleation in two different Mo-alloy single crystals (Mo-3Nb and Mo-10Al-4Ni) is found to be ~1/8 of the shear modulus. The corresponding stress in uniaxially compressed Mo-10Al-4Ni micropillars is ~1/26 of the shear modulus. This strength difference is due to the higher critical stress required to nucleate a full dislocation loop homogeneously in the bulk as opposed to a half or quarter loop heterogeneously at a surface or edge.
Spatially adaptive image denoising based on joint image statistics in the curvelet domain

In this paper, we perform a statistical analysis of curvelet coefficients, making a distinction between two classes of coefficients: those representing useful image content and those dominated by noise. By investigating the marginal statistics, we develop a mixture prior for curvelet coefficients. Through analysis of the joint intra-band statistics, we find that white Gaussian noise is transformed by the curvelet transform into noise that is correlated in one direction and decorrelated in the perpendicular direction. This enables us to develop an appropriate local spatial activity indicator for curvelets. Finally, based on our findings, we develop a novel denoising method, inspired by a recent wavelet domain method ProbShrink. For textured images, the new method outperforms its wavelet-based counterpart and existing curvelet-based methods. For piecewise smooth images, performances are similar as existing methods.
Nucleation and Growth of Amyloid β-Protein Fibrils: Detection of Nuclei and Quantitation of Rate Constants

Alzheimer's disease is a progressive, neurodegenerative disorder characterized by amyloid deposition in senile plaques in the cerebral parenchyma and vasculature. (1) These plaques are composed primarily of fibers of the amyloid β-protein, Aβ. A number of studies have provided information on the structure of fibrils formed both in vivo and in vitro, and on factors affecting fiber formation. Synthetic Aβ peptides also form fibers which are ultrastructurally indistinguishable from those isolated from the brain. These peptides have been utilized to examine how a variety of parameters, including temperature, pH, solvent composition, peptide concentration, and peptide sequence, influence the final structure of Aβ aggregates. What is substantially less understood, however, is the kinetics of Aβ fibril growth.
Design of artificial vascular devices: Hemodynamic evaluation of shear-induced thrombogenicity

Blood-circulating devices such as oxygenators have offered life-saving opportunities for advanced cardiovascular and pulmonary failures. However, such systems are limited in the mimicking of the native vascular environment (architecture, mechanical forces, operating flow rates and scaffold compositions). Complications involving thrombosis considerably reduce their implementation time and require intensive anticoagulant treatment. Variations in the hemodynamic forces and fluid-mediated interactions between the different blood components determine the risk of thrombosis and are generally not taken sufficiently into consideration in the design of new blood-circulating devices. In this Review article, we examine the tools and investigations around hemodynamics employed in the development of artificial vascular devices, and especially with advanced microfluidics techniques. Firstly, the architecture of the human vascular system will be discussed, with regards to achieving physiological functions while maintaining antithrombotic conditions for the blood. The aim is to highlight that blood circulation in native vessels is a finely controlled balance between architecture, rheology and mechanical forces, altogether providing valuable biomimetics concepts. Later, we summarize the current numerical and experimental methodologies to assess the risk of thrombogenicity of flow patterns in blood circulating devices. We show that the leveraging of both local hemodynamic analysis and nature-inspired architectures can greatly contribute to the development of predictive models of device thrombogenicity. When integrated in the early phase of the design, such evaluation would pave the way for optimised blood circulating systems with effective thromboresistance performances, long-term implantation prospects and a reduced burden for patients.
An Indoor Location Method Based on Features Optimization for Different Regions With Improved Curve Smoothness Index

Traditional Wi-Fi-based indoor localization techniques are susceptible to different environments. Furthermore, the Wi-Fi fingerprint method is low efficient for localization with large database matching time-consuming. To address the above problems, this article proposes a feature fusion-based multifingerprint partition localization method. In the offline phase, the feature extraction is carried out for different regions based on the improved curve smoothness index of signal intensity descending order. In the online phase, a ${k}$ -nearest neighbor (KNN) classifier is used to locate the test points to approximate regions. Then, traditional positioning algorithms are used to achieve the precision localization in the region of interest. The experimental results show that the method based on features optimization for different regions is highly generalizable to more complex environment, improving the efficiency and accuracy.
Assessing the Land Reclamation Suitability of Beam Fabrication and Storage Yard in Railway Construction: An AHP-MEA Method

Railway construction contributes to socio-economic development but causes the occupation and destruction of land resources. How to effectively restore the temporary land and achieve efficient and rational reuse therefore becomes particularly important. The beam fabrication and storage yard (BFSY), as a large temporary facility during railway construction, occupies a large area of land. However, BFSYs damage the land in the way of pressing and may harden the ground to a high degree due to the use of high-density pile foundations, adversely affecting the soil properties. Therefore, this research aims to develop a model for evaluating the land reclamation suitability (LRS) of BFSY. The LRS evaluation indicator system of BFSY was firstly constructed based on the literature review and expert interviews. Then, an indicator-based model for assessing the LRS of BFSY was developed by integrating the analytic hierarchy process (AHP) model and the matter-element analysis (MEA) model. A case project in China was chosen to demonstrate and validate the developed model, and results show that the proposed model can rationally evaluate the LRS of BFSY in railway construction. The findings of this research enrich the knowledge system of sustainable railway construction and guide construction managers to conduct practical suitability assessments of land reclamation.
Editorial: Multimodal behavior from animals to bio-inspired robots

COPYRIGHT © 2023 Zhu, Manoonpong and Hu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Editorial: Multimodal behavior from animals to bio-inspired robots
Quantum Corrections to Classical BGK Modes in Phase Space

In this paper we study the quantum corrections to the Bernstein‐Greene‐Kruskal equilibria of plasma physics by using perturbation methods near the classical solution. We obtain the solution for the Wigner function and for the self‐consistent potential to first order in the smallness parameter, which is the square of Planck's constant (in dimensionless form), and investigate the structure of the quantum phase space.
Kernel Graph Cuts Segmentation for MR Images with Intensity Inhomogeneity Correction

Since the phenomena of intensity inhomogeneity in MR images are prominent and adversely affect quantitative image analysis . In this paper ,we propose a novel magnetic resonance (MR) image segmentation approach based on the kernel graph cuts technique . Because of automatic multiregion segmentation and global energy minimization ,the kernel graph cuts method can be applied to many kinds of images segmentation ,such as MR images and so on . To reduce or eliminate intensity inhomogeneity in MR images ,we add the intensity inhomogeneity correction step which is based on fuzzy c-means (FCM) algorithm before the segment procedure . Firstly , the real MR image data obtained after bias corrected by FCM algorithm . Secondly ,we segment the real MR image data by kernel graph cuts method . Experiments show that the kernel graph cuts method with intensity inhomogeneity correction have a better segment result in accuracy and over-segmentation .
Manifold-enhanced CycleGAN for facial expression synthesis

ABSTRACT Facial expressions contain a great deal of information in inter-personal communication and social interaction and have a great impact on face recognition. This paper investigates expression synthesis methods based on deep learning and their performance in expression classification and face recognition. We propose a new synthesis method based on the active appearance model and CycleGAN. The eigendecomposition method is used to obtain the expression shape of a target subject through linear operations. An expression intensity coefficient is developed to control the dynamics of generated expressions. Subsequently, a generative model is introduced for the synthesis on textures. The identity loss is integrated into the traditional CycleGAN model, incorporated with the adversarial loss and the cycle consistency loss, to better preserve texture attributes and identity information of target subjects. Experiments and comparisons show that the proposed method offers marked improvements in verification of expressions and identities, as well as in generalization across databases.