Miracle-dz/UniFAR-FTUs huggingface dataset:
Applying a Combination of SEM and fsQCA to Predict Tourist Resource-Saving Behavioral Intentions in Rural Tourism: An Extension of the Theory of Planned Behavior

How to save resources and protect the environment at destinations is one of the hot issues in tourism. One effective solution is to cultivate tourist resource-saving behavioral intentions (TRSBI). Prior studies mainly use Structural equation modeling (SEM) to explore its antecedents, whereas other potential methods (i.e., fuzzy-set qualitative comparative analysis, fsQCA for short) have been less adopted. This study combines SEM and fsQCA to examine TRSBI in a rural tourism context. Specifically, SEM is executed to investigate how environmental concern influences TRSBI based on the theory of planned behavior (TPB), while fsQCA is applied to uncover the multiple configurations in the TRSBI formation. The findings from SEM indicated that (1) environmental concern positively and directly influenced TRSBI; (2) TPB constructs (i.e., attitudes toward the behavior, subjective norms, and perceived behavioral control) positively and separately mediated the associations of environmental concern with TRSBI. The fsQCA outcomes showed that three configurations result in a high level of TRSBI: (1) high attitudes toward the behavior, subjective norms, and perceived behavioral control, (2) high attitudes toward the behavior, subjective norms, and environmental concern, and (3) high attitudes toward the behavior, perceived behavioral control, and environmental concern. The combined approaches offer a systematic and holistic solution to explore TRSBI in rural tourism.
Sparse Channel Estimation With Distorted Signals for UWB OFDM Systems

The power amplifier (PA) is an indispensable part of ultra-wideband (UWB) orthogonal frequency division multiplexing (OFDM) systems. Nevertheless, it will produce nonlinear distortions, degrading the accuracy of channel estimation and thus the performance of the system. To improve the system performance, it is essential to investigate channel estimation using distorted signals. Taking advantage of the sparsity of the UWB channel, a sparse channel estimation method using distorted signals is proposed in this letter, referred to as sparse channel estimation combined with power amplifier nonlinear cancellation (SCE-PANC). Within SCE-PANC, the measurement matrix is constructed only with pilot subcarriers and nonlinear distortions will be eliminated iteratively. The numerical results show that the proposed method has a better performance than the state-of-the-art methods.
Deep Reinforcement Learning-Based Resource Allocation for Content Distribution in IoT-Edge-Cloud Computing Environments

With the emergence of intelligent terminals, the Internet of Vehicles (IoV) has been drawing great attention by taking advantage of mobile communication technologies. However, high computation complexity, collaboration communication overhead and limited network bandwidths bring severe challenges to the provision of latency-sensitive IoV services. To overcome these problems, we design a cloud-edge cooperative content-delivery strategy in asymmetrical IoV environments to minimize network latency by providing optimal computing, caching and communication resource allocation. We abstract the joint allocation issue of heterogeneous resources as a queuing theory-based latency minimization objective. Next, a new deep reinforcement learning (DRL) scheme works in each network node to achieve optimal content caching and request routing on the basis of the perceptive request history and network state. Extensive simulations show that our proposed strategy has lower network latency compared with the current solutions in the cloud-edge collaboration system and converges fast under different scenarios.
Imaging carrier and phonon transport in Si using ultrashort optical pulses

A series of experiments have been conducted that microscopically image thermal diffusion and surface acoustic phonon propagation within a single crystallite of a polycrystalline Si sample. The experimental approach employs ultrashort optical pulses to generate an electron-hole plasma and a second probe pulse is used to image the evolution of the plasma. By decomposing the signal into a component that varies with delay time and a steady state component that varies with pump modulation frequency, the respective influence of carrier recombination and thermal diffusion are identified. Additionally, the coherent surface acoustic phonon component to the signal is imaged using a Sagnac interferometer to monitor optical phase.
Small Polaron Hopping in Ferroelectric Pure and Doped Potassium Niobate Single Crystals

Four compositions pure (KN), 1 wt% Sm (KND-1), 2 wt% Sm (KND-2) and 1 wt% Sm + 1 wt% Sn (KND-3) potassium niobate were grown as single crystals by controlled cooling of the melt. Electrical conductivity as a function of temperature was studied from room temperature up to 500°C for these compositions. At room temperature the electrical conductivity has increased due to Sm as well as (Sm & Sn) doping. Crystals show increase in conductivity with temperature. Both pure and doped compositions show an anomalous behaviour with a small hump around their respective transition temperatures except KND-2. The conductivity in pure and doped potassium niobate is a complex phenomenon namely due to electronic contribution; extrinsic impurity; presence of impurity defects; vacancies created due to oxygen deficiency as well as doping and polaron hopping.
X-ray diffraction of III-nitrides

The III-nitrides include the semiconductors AlN, GaN and InN, which have band gaps spanning the entire UV and visible ranges. Thin films of III-nitrides are used to make UV, violet, blue and green light-emitting diodes and lasers, as well as solar cells, high-electron mobility transistors (HEMTs) and other devices. However, the film growth process gives rise to unusually high strain and high defect densities, which can affect the device performance. X-ray diffraction is a popular, non-destructive technique used to characterize films and device structures, allowing improvements in device efficiencies to be made. It provides information on crystalline lattice parameters (from which strain and composition are determined), misorientation (from which defect types and densities may be deduced), crystallite size and microstrain, wafer bowing, residual stress, alloy ordering, phase separation (if present) along with film thicknesses and superlattice (quantum well) thicknesses, compositions and non-uniformities. These topics are reviewed, along with the basic principles of x-ray diffraction of thin films and areas of special current interest, such as analysis of non-polar, semipolar and cubic III-nitrides. A summary of useful values needed in calculations, including elastic constants and lattice parameters, is also given. Such topics are also likely to be relevant to other highly lattice-mismatched wurtzite-structure materials such as heteroepitaxial ZnO and ZnSe.
The perversion of the professional caring relationship

I have now been a therapist for over twenty years, and I never cease to wonder at the extraordinary nature of our work and at how much I have learnt about people, their way of coping with life’s stresses and pain, their weaknesses and bravery. I am also amazed at how much I still learn about how the human mind works. It is, in fact, an extraordinary privilege to be allowed to get so close to individuals and to learn so much about them and their lives in such intimate detail. However, not only is it a huge privilege, it is also a huge responsibility. I am very involved in the study of human violence. In my book on the subject, I devoted some space to the subject of the perversion of the professional caring relationship (Zulueta, 2006a). While other powerful individuals such as judges, military leaders, or police officers can all be involved in the perpetration of violence through the misuse of their power, it is misuse of power by those involved in the direct care of sick or disturbed individuals that is causing me increasing concern. The professional–patient relationship lends itself to the re-enactment of childhood abuse as the relationship is very similar to the parent–child relationship. The doctor or therapist is entrusted with the care of his or her patient, whereas the patient is invited to regress to more dependent forms of behaviour because of the nature of the treatment. A surgical patient has to trust her doctor even when unconscious under the anaesthetic; a psychiatric patient needs to feel safe in the bewildering and painful confusion of a psychotic breakdown; a psychotherapy patient relinquishes old defences at the risk of feeling very vulnerable and helpless. When any of these human interactions involves the re-enactment of an earlier abusive experience, the outcome can be devastating for the patient as a result of the unequal power relations that exist between therapists and their patients. Doctors used to address this particular danger when they swore the Hippocratic Oath: ‘In whatsoever houses I enter, I will enter to help the sick, and I will abstain from all intentional wrongdoing and harm’. As therapists we do not have an equivalent to the Hippocratic Oath, and yet our power over
Contributions to adaptive estimation

There are many statistics which can be used to characterize data sets and provide valuable information regarding the data distribution, even for large samples. Traditional measures, such as skewness and kurtosis, mentioned in introductory statistics courses, are rarely applied. A variety of other measures of tail length, skewness and tail weight have been proposed, which can be used to describe the underlying population distribution. Adaptive statistical procedures change the estimator of location, depending on sample characteristics. The success of these estimators depends on correctly classifying the underlying distribution model. Advocates of adaptive distribution testing propose to proceed by assuming (1) that an appropriate model, say Omega , is such that Omega { Omega , Omega , i i 1 2 . , Omega }, and (2) that the character of the model selection process is statistically k independent of the hypothesis testing. We review the development of adaptive linear estimators and adaptive maximum-likelihood estimators.
Heat-Transfer Augmentation in Rod Bundles Near Grid Spacers

Heat-transfer augmentation by straight grid spacers in rod bundles is studied for single-phase flow and for post-critical heat flux dispersed flow. The heat transfer effect of swirling grid spacers in single-phase flow is also examined. Governing heat-transfer mechanisms are analyzed, and predictive formulations are established. For single-phase flow, the local heat transfer at a straight spacer and at its upstream or downstream locations are treated separately. The effect of local velocity increasing near swirling spacer is considered. For post critical heat flux (CHF) dispersed flow, the heat transfer by thermal radiation, fin cooling, and vapor convection near the spacer are calculated. The predictions are compared with experimental data with satisfactory agreement.
Controlabilite de Systemes Mecaniques Sur Les Groupes de Lie

In the attitude control problem of a rigid satellite governed by reaction jets, the motion of the free system can be interpreted as the motion on a geodesic of a left invariant Riemannian structure on the group of rotations in $\mathbb{R}^3 $. We set in this article the general problem of the control of the dynamic system describing the motion on a geodesic of a left invariant Riemannian structure on a Lie group G. When G is compact, we give an algebraic necessary and sufficient controllability condition. Moreover we describe control laws using the property that on a complete Riemannian manifold two points can be joined by a geodesic.
Nanoplasmonics: a frontier of photovoltaic solar cells

Abstract Nanoplasmonics recently has emerged as a new frontier of photovoltaic research. Noble metal nanostructures that can concentrate and guide light have demonstrated great capability for dramatically improving the energy conversion efficiency of both laboratory and industrial solar cells, providing an innovative pathway potentially transforming the solar industry. However, to make the nanoplasmonic technology fully appreciated by the solar industry, key challenges need to be addressed; including the detrimental absorption of metals, broadband light trapping mechanisms, cost of plasmonic nanomaterials, simple and inexpensive fabrication and integration methods of the plasmonic nanostructures, which are scalable for full size manufacture. This article reviews the recent progress of plasmonic solar cells including the fundamental mechanisms, material fabrication, theoretical modelling and emerging directions with a distinct emphasis on solutions tackling the above-mentioned challenges for industrial relevant applications.
Research on the Influence of Logistics Service Quality on Consumers' Repeated Purchase Willingness under the Group - Buying Mode of Agricultural Products Community

: With the advancement of the rural revitalization strategy, the infrastructure in rural areas in China has been continuously improved, and the rural logistics system has also been gradually established and improved. The community group buying model developed against this background and has become one of the main ways for consumers to purchase fresh agricultural products online. Fresh agricultural products are difficult to preserve and easy to be corrupted. The community group buying model of agricultural products must improve its logistics service quality to maintain the relationship with consumers and develop sustainably and healthily. This paper verifies the impact of logistics service quality on consumers' repeat purchase intention under the agricultural product community group buying mode, and the results show that the tangibility, assurance, reliability, responsiveness, empathy, and convenience of logistics service quality have a significant impact on consumers' repeat purchase intention. It has a positive impact, and consumer satisfaction plays a mediating role in this process.
Kinetic modeling of scrape‐off layer plasmas

Electron transport along open field lines in the diverted scrape‐off layer of a tokamak is studied numerically via a kinetic Fokker–Planck approach. The method allows calculation of the distribution function in a situation where large parallel temperature gradients are maintained by collisional relaxation and, at the same time, superthermal electrons stream freely from the midplane of the plasma to the target/sheath boundary. The method also allows calculation of the self‐consistent electrostatic field associated with parallel gradients in the distribution function, as well as the potential drop across the target/sheath boundary, where the latter is calculated to enforce appropriate boundary conditions at the target, although the sheath itself is not resolved. The kinetic results are compared to classical fluid results for the case of a simple (nonradiative) divertor. The kinetic solutions exhibit an enhanced superthermal electron population in the vicinity of the target, which results in a larger sheath .
New Perspectives for the Consolidation of Mural Paintings in Hypogea with an Innovative Aqueous Nanolime Dispersion, Characterized by Compatible, Sustainable, and Eco-Friendly Features

Consolidation of mural paintings in hypogea is challenging because of their severe microclimatic conditions, characterized by high humidity levels, low air circulation, the presence of salts efflorescence, and the detrimental growth of biodeteriogen agents. Traditional consolidant products show significant drawbacks when used in hypogeum. Organic compounds, such as acrylic emulsions, are bio-receptive and some inorganic consolidants, such as silica-based products, show a lack of compatibility with the original substrate, which could lead to a reduction in permeability and an increase in the mechanical resistance of the external layer. The presence of solvents in their formulations, particularly short-chain alcohols that can activate germination of fungal spores, leads to the release of great amounts of volatile organic compounds, which are particularly harmful in the hypogeic environment. To solve these problems, restorers of the Istituto Centrale per il Restauro (ICR) decided to use a new aqueous nanolime dispersion, NANOLAQ, consisting of pure and crystalline Ca(OH)2 nanoparticles dispersed in water, produced by an innovative and sustainable patented procedure. After laboratory testing, the product has been applied on site, on a medieval mural painting in the Ss. Peter and Paul hypogeum in the UNESCO site of Matera (Italy), monitoring the performance in terms of cohesion of the paint layer and preservation of aesthetic features.
Multiomics Based Association Mapping in Wheat Reveals Genetic Architecture of Quality and Allergenic Related Proteins

Wheat is an important staple crop since its proteins contribute to human and animal nutrition and are important for its end-use quality. However, wheat proteins can also cause adverse human reactions for a large number of people. We performed a genome wide association study (GWAS) on 114 proteins quantified by LC-MS-based proteomics and expressed in an environmentally stable manner in 148 wheat cultivars with a heritability > 0.6. For 54 proteins, we detected quantitative trait loci (QTL) that exceeded the Bonferroni-corrected significance threshold and explained 17.3–84.5% of the genotypic variance. Proteins in the same family often clustered at a very close chromosomal position or the potential homeolog. Major QTLs were found for four well-known glutenin and gliadin subunits, and the QTL segregation pattern in the protein encoding the high molecular weight glutenin subunit Dx5 could be confirmed by SDS gel-electrophoresis. For nine potential allergenic proteins, large QTLs could be identified, and their measured allele frequencies open the possibility to select for low protein abundance by markers as long as their relevance for human health has been conclusively demonstrated. A potential allergen was introduced in the beginning of 1980s that may be linked to the cluster of resistance genes introgressed on chromosome 2AS from Triticum ventricosum. The reported sequence information for the 54 major QTLs can be used to design efficient markers for future wheat breeding.
Flame Dynamics and Combustion Noise: Progress and Challenges

This article proposes a review of the state of knowledge in the field of combustion noise. The survey comprises an initial discussion of indirect and direct noise sources and their general characteristics, a summary of expressions devised to estimate combustion noise from turbulent flames, a discussion of the fundamental equations describing sound emission from a reactive region and an evaluation of scaling methods for combustion noise. An account is provided of a set of experiments on noise radiation from perturbed laminar flames. Sources of intense radiation of sound are identified and theoretical expressions of the pressure field are compared with detailed measurements from well controlled experiments. These experiments indicate that flame dynamics determine to a great extent the radiation of sound from flames. This is further demonstrated with experiments dealing with effects of confinement. Links between combustion noise and combustion instabilities are drawn on this basis. These two aspects are usually treated separately but they are manifestations of similar processes. Much of the current effort in the field of combustion noise focuses on numerical estimation techniques using modern computational tools. The state of the art is less advanced than in computational aeroacoustics (CAA) but it is possible to foresee that computational combustion acoustics (CCA) will progressively evolve into a well established scientific field.
Einstein Tensor and 3‐Parameter Groups of Isometries with 2‐Dimensional Orbits

The algebraic classification of the Weyl and Ricci tensors and the relation between them in a Riemann space with an isometry group possessing a nontrivial isotropy group are reviewed. All metrics with Minkowski signature, invariant under a 3‐parameter isometry group with 2‐dimensional orbits having nondegenerate metrics, are constructed from the group properties and are shown to have Ricci tensors with a double eigenvalue, and the orbits are shown to be surfaces of constant curvature. The null orbits are shown to have a triply degenerate eigenvalue of the Ricci tensor. The various additionally degenerate metrics are classified in further detail, extending the work of Plebanski and Stachel.
The nonlinear response of AE to the IMF BS driver: A spectral break at 5 hours

The authors demonstrate the existence of a sharp break in the power spectrum of AE at {approximately}5 hours. At frequencies below the break, AE has a {approximately}f{sup {minus}1.0} dependence, and at higher frequencies it has a f{sup {minus}2.2} to f{sup {minus}2.4} dependence. The power spectrum of the IMF B{sub s} for the same time interval has a {approximately}f{sup {minus}1.4} dependence with no spectral breaks or peaks. Thus, at frequencies above the break, the power in AE varies as f{sup {minus}0.5} to f{sup {minus}0.8} times the power in B{sub s} and at low frequencies it ranges from being f{sup 0} (frequency independent) to a f{sup +0.4} times the power in B{sub s}. Several possible explanations of the nonlinear response of AE to the IMF B{sub s} driver are briefly discussed, including: (1) variable ionospheric conductivity (increasing with B{sub s}) for the high frequency regime, and (2) several AE saturation mechanisms for the low frequency regime.
Development and applications of a plasma waveguide for intense laser pulses

The demonstration of optical guiding of high‐intensity laser pulses in a plasma fiber waveguide [C. G. Durfee III and H. M. Milchberg, Phys. Rev. Lett. 71, 2409 (1993)] has opened the way to new advances in the development of nonlinear optics‐based short‐wavelength light sources, soft x‐ray lasers, and compact laser‐driven charged particle accelerators, and offers a new practical realm in which to study, control, and apply nonperturbative laser–matter interactions at ultrahigh intensity. An overview of selected experimental and theoretical results and their applications is presented.
Simulation and implementation of two-layer oscillatory neural networks for image edge detection: bidirectional and feedforward architectures

The growing number of edge devices in everyday life generates a considerable amount of data that current AI algorithms, like artificial neural networks, cannot handle inside edge devices with limited bandwidth, memory, and energy available. Neuromorphic computing, with low-power oscillatory neural networks (ONNs), is an alternative and attractive solution to solve complex problems at the edge. However, ONN is currently limited with its fully-connected recurrent architecture to solve auto-associative memory problems. In this work, we use an alternative two-layer bidirectional ONN architecture. We introduce a two-layer feedforward ONN architecture to perform image edge detection, using the ONN to replace convolutional filters to scan the image. Using an HNN Matlab emulator and digital ONN design simulations, we report efficient image edge detection from both architectures using various size filters (3 × 3, 5 × 5, and 7 × 7) on black and white images. In contrast, the feedforward architectures can also perform image edge detection on gray scale images. With the digital ONN design, we also assess latency performances and obtain that the bidirectional architecture with a 3 × 3 filter size can perform image edge detection in real-time (camera flow from 25 to 30 images per second) on images with up to 128 × 128 pixels while the feedforward architecture with same 3 × 3 filter size can deal with 170 × 170 pixels, due to its faster computation.