Miracle-dz/UniFAR-FTUs huggingface dataset:
Tourists’ Food Involvement, Place Attachment, and Destination Loyalty: The Moderating Role of Lifestyle

Destination food has been increasingly appealing to tourists within adjacent markets. This trend has been widely recognised by destination marketers; however, scholars have paid limited attention to tourists’ psychological and behavioural responses to destination food. Taking Shunde as the research site, using a questionnaire-based survey method equipped with the techniques of measurement modelling, path analysis, principal component analysis, and cluster analysis, this study explores how tourists’ food involvement affects their place attachment and destination loyalty, as well as the differentiation of tourists with different lifestyles. The results show that food involvement significantly affects place attachment and destination loyalty. These relationships are differentiated by tourists’ lifestyles. This study contributes to the psychological research of tourist behaviours and provides insights into destination marketing in the context of food tourism.
Caffeic Acid Phenethyl Ester (CAPE): Biosynthesis, Derivatives and Formulations with Neuroprotective Activities

Neurodegenerative disorders are characterized by a progressive process of degeneration and neuronal death, where oxidative stress and neuroinflammation are key factors that contribute to the progression of these diseases. Therefore, two major pathways involved in these pathologies have been proposed as relevant therapeutic targets: The nuclear transcription factor erythroid 2 (Nrf2), which responds to oxidative stress with cytoprotecting activity; and the nuclear factor NF-κB pathway, which is highly related to the neuroinflammatory process by promoting cytokine expression. Caffeic acid phenethyl ester (CAPE) is a phenylpropanoid naturally found in propolis that shows important biological activities, including neuroprotective activity by modulating the Nrf2 and NF-κB pathways, promoting antioxidant enzyme expression and inhibition of proinflammatory cytokine expression. Its simple chemical structure has inspired the synthesis of many derivatives, with aliphatic and/or aromatic moieties, some of which have improved the biological properties. Moreover, new drug delivery systems increase the bioavailability of these compounds in vivo, allowing its transcytosis through the blood-brain barrier, thus protecting brain cells from the increased inflammatory status associated to neurodegenerative and psychiatric disorders. This review summarizes the biosynthesis and chemical synthesis of CAPE derivatives, their miscellaneous activities, and relevant studies (from 2010 to 2023), addressing their neuroprotective activity in vitro and in vivo.
Study of 
ϒ(1S)
 radiative decays to 
γπ+π−
 and 
γK+K−

We study the Υ(1S) radiative decays to γπ^+π^− and γK^+K^− using data recorded with the BABAR detector operating at the SLAC PEP-II asymmetric-energy e^+e^− collider at center-of-mass energies at the Υ(2S) and Υ(3S) resonances. The Υ(1S) resonance is reconstructed from the decay Υ(nS)→π^+π^−Υ(1S), n=2, 3. Branching fraction measurements and spin-parity analyses of Υ(1S)radiative decays are reported for the I=0 S-wave and f_2(1270) resonances in the π^+π^− mass spectrum, the f′_2(1525) and f_0(1500) in the K^+K^− mass spectrum, and the f_0(1710) in both.
Analysis of Homophily Effects on Information Diffusion on Social Networks

Homophily is a well-known phenomenon in social networks, which is the tendency for individuals with similar characteristics to connect with each other. However, it is still unclear how homophily affects information diffusion. In this paper, we analyze the effect of homophily on information diffusion dynamics through theoretical analysis and numerical simulations. To this end, we consider the information diffusion process on a modular network consisting of two types of nodes with different diffusion properties: agitators and skeptists. In this setting, homophily is represented as the localization of agitators towards a specific community within a network. The analysis reveals that homophily has a significant effect on information diffusion dynamics. Although community structure (i.e., the connectivity between communities) has little or no effect on prevalence rate and diffusion speed without homophily, it affects them with homophily. Especially in networks with strongly separated communities, homophily facilitates local diffusion and inhibits global diffusion.
Smooth affine spherical varieties of full rank

Let G be a complex connected reductive group. I. Losev has shown that a smooth affine spherical G-variety X is uniquely determined by its weight monoid, which is the set of irreducible representations of G that occur in the coordinate ring of X. In this paper we use a combinatorial characterization of the weight monoids of smooth affine spherical varieties to classify: (a) all such varieties when G is $\mathrm{SL}(2) \times \mathbb{C}^{\times}$ and (b) all such varieties for G simple which have a G-saturated weight monoid of full rank. We also use the characterization and F. Knop's classification theorem for multiplicity free Hamiltonian manifolds to give a new proof of C. Woodward's result that every reflective Delzant polytope is the moment polytope of such a manifold.
The Renal and Liver Complications Development among Patients with Type 2 Diabetes Mellitus in Kirkuk City

Diabetes is a chronic metabolic malady that has raised levels of blood glucose, which in last, it will cause severe harms to the heart, blood vessels, eyes, kidneys, and nerves. In this article trials to investigate the development of the renal and liver disorders among patients with T2DM in a population of Kirkuk city. The hospital-based cases- control study was conducted for patients with T2DM patients that attended the diabetic clinics in Kirkuk during the period from March 2021– to August 2021 and were screened for serum conc. of liver function tests (Alanine Aminotransferase (ALT), Aspartate Aminotransferase (AST) and Alkaline Phosphatase (ALP)), renal function tests (Creatinine and Urea) especially with (family history of diabetes, & hypertension. Patients recruited for this study, showed serum urea and creatinine significantly more than that in control, p < .001, while for renal glomerular filtration rates significantly lower than that in control group, p < 001. Their kidney disease stage frequencies were significantly different in diabetic patients than in control P< 0.001. Stage (II) was the most frequently stage within the T2DM group (n = 58, 58%), while stage (I) was the most frequently observed category within the control group (n = 28, 56%). The mean of AST for T2DM (30.63± 6.08) was significantly more than that in the control (25.13± 4.32). T2DM reveal significant differences in the mean value (32.51± 8.96) of ALT which was more than the control (20.59± 4.38). The estimation of GFR as soon as possible with testing of urea and creatinine confirms the diagnosis of renal disease and staging of the renal disease. The liver enzymes illustrate in T2DM a significant correlation in comparison to the control group.
Recalibration of a three-dimensional water quality model with a newly developed autocalibration toolkit (EFDC-ACT v1.0.0): how much improvement will be achieved with a wider hydrological variability?

Abstract. Autocalibration techniques have the potential to enhance the efficiency and accuracy of intricate process-based hydrodynamic and water quality models. In this study, we developed a new R-based autocalibration toolkit for the Environmental Fluid Dynamics Code (EFDC) and implemented it into the recalibration of the Yuqiao Reservoir Water Quality Model (YRWQM), with long-term observations from 2006 to 2015, including dry, normal, and wet years. The autocalibration toolkit facilitated recalibration and contributed to exploring how a model recalibrated with long-term observations performs more accurately and robustly. Previously, the original YRWQM was calibrated and validated with observations of dry years in 2006 and 2007, respectively. Compared to the original YRWQM, the recalibrated YRWQM performed just as well in water surface elevation, with a Kling–Gupta efficiency (KGE) of 0.99, and water temperature, with a KGE of 0.91, while performing better in modeling total phosphorus (TP), chlorophyll a (Chl a), and dissolved oxygen (DO), with KGEs of 0.10, 0.30, and 0.74, respectively. Furthermore, the KGEs improved by 43 %–202 % in modeling the TP–Chl a–DO process when compared to the models calibrated with only dry, normal, and wet years. The model calibrated in dry years overestimated DO concentrations, probably explained by the parameter of algal growth rate that increased by 84 %. The model calibrated in wet years performed poorly for Chl a, due to a 50 % reduction in the carbon-to-chlorophyll ratio, probably triggered by changes in the composition of the algal population. Our study suggests that calibrating process-based hydrodynamic and water quality models with long-term observations may be an important measure to improve the robustness of models under severe hydrological variability. The newly developed general automatic calibration toolkit and a possible hierarchical autocalibration strategy will also be a powerful tool for future complex model calibration.
Factors influencing brand love: A case study of Apple in Saudi Arabia

This paper aims to explore the factors that drive brand love for Apple in Saudi Arabia, which have not been studied previously. The study utilized the PROCESS macro on SPSS with models 4 and 15 to analyze the data collected from Saudi Arabian consumers. The findings confirmed that self-image congruence has both a direct effect, which equals 0.429, and an indirect effect through price perception, amounting to 0.083, on brand love. This means consumers who perceive themselves as similar to the brand in terms of personality, values, and lifestyles are more likely to develop a strong affection for Apple. The study also revealed the negative moderation of prestige sensitivity in the relationship between self-image congruence and brand love. In fact, the effect of self-image congruence on brand love is significantly higher (0.504) among individuals displaying low prestige sensitivity compared to those exhibiting high prestige sensitivity (0.323). However, the results did not support the moderation of prestige sensitivity in the relationship between price perception and brand love. Overall, this paper contributes to the existing literature on brand love, self-image congruence, price perception, and prestige sensitivity. The findings provide valuable insights for marketers to develop effective strategies to enhance consumers’ emotional connection with their brands. By understanding the importance of self-image congruence and considering the role of prestige sensitivity, marketers can better tailor their marketing messages and branding efforts to appeal to Saudi Arabian consumers. This study highlights the importance of cultural differences in consumer behavior and provides a basis for future research. AcknowledgmentThe authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this paper through a large group Research Project under grant number RGP2/407/44.
The effect of variations in first- and second-order derivatives on airfoil aerodynamic performance

ABSTRACT The geometric factors which influence airfoil aerodynamic performance are attributed to variations in local first- and second-order curvature derivatives. Based on a self-developed computational fluid dynamics (CFD) program called UCFD, the influence of local profile variations on airfoil aerodynamic performance in different pressure areas is investigated. The results show that variations in first- and second-order derivatives of the airfoil profiles can cause fluctuations in airfoil aerodynamic performance. The greater the variation in local first- and second-order derivatives, the greater the fluctuation amplitude of the airfoil aerodynamic coefficients. Moreover, at the area near the leading edge and the shock-wave position, the surface pressure is more sensitive to changes in first- and second-order derivatives. These results provide a reference for airfoil aerodynamic shape design.
Reliability, validity, and measurement invariance of a Chinese handwriting legibility scale among primary students in central China

Background Chinese handwriting has a close relationship with spatial cognition, and the legibility dimension is prominent with its spatial-oriented characteristics. However, handwriting evaluation focusing on the detailed spatial aspects of the legibility dimension in the Chinese context is rare. Aims and methods We aimed to develop a Chinese Handwriting Legibility Scale (CHLS) and examine its reliability, validity, and measurement invariance among Chinese primary students of different grades. A total of 684 students aged 8–12 years were recruited from a mainstream primary school in central China and were asked to copy a Chinese template as legibly as possible within 4 min. The developed CHLS was used to assess these students’ legibility performance. Results The seven-criteria CHLS favored content validity. The inter-rater reliability was good; however, the scoring instructions need to be refined. Principal component analysis (PCA) revealed a one-factor solution explaining 62.336% of the variance of the seven-criteria CHLS, and confirmatory factor analysis (CFA) confirmed its appropriateness. There was a high internal consistency (α = 0.902). In terms of measurement invariance, the factor structures and loadings of the CHLS were consistent across students of different grades; however, significant intercept variations were detected between students of Grades 2 and 4. Conclusion CHLS may be effective for evaluating Chinese handwriting legibility performance in the Chinese primary school context in the central region. Students’ Chinese handwriting legibility performance may have developmental specificity in different grades.
WEAK SUBORDINATION OF MULTIVARIATE LÉVY PROCESSES

Subordinating a multivariate L\'evy process, the subordinate, with a univariate subordinator gives rise to a pathwise construction of a new L\'evy process provided the subordinator and the subordinate are independent processes. The Variance Gamma model in finance was generated accordingly from a Brownian motion and a Gamma process. Alternatively, multivariate subordination can be used to create L\'evy processes, but this requires the subordinate to have independent or indistinguishable components. In this paper, we show that there exists another operation acting on pairs (T,X) of L\'evy processes which creates a L\'evy process X \. o T. Here, T is a subordinator, but X is an arbitrary L\'evy process with possibly dependent coordinates. We show that this method is an extension of both univariate and multivariate subordination and provide two applications. Firstly, we give a weak formulation of the Variance-alpha-Gamma-process that exhibits a wider range of dependence than using traditional subordination, and fit this model to a S&P500-FTSE100 data set. Secondly, the Variance Generalised Gamma Convolution class of L\'evy processes formed by subordinating Brownian motion with Thorin subordinators is further extended using weak subordination.
Ev-ReconNet: Visual Place Recognition Using Event Camera With Spiking Neural Networks

In this article, we utilize the advantages of an event camera to tackle the visual place recognition (VPR) problem. The event camera’s high measurement rate, low latency, and high dynamic range make it well-suited to overcome the limitations of conventional vision sensors. However, to apply the existing convolutional neural network (CNN)-based algorithms such as NetVLAD, the asynchronous event stream should be converted to a synchronous image frame, which causes a loss in temporal information. To address this problem, this article proposes a method that employs the asynchronous characteristic of spiking neural networks (SNNs) to leverage the temporal nature of event streams. The event stream is converted to event images and tensors in our preprocessing module. The SNN-based reconstruction networks, which are converted from CNNs, reconstruct edge images from event tensors regardless of external environment changes. VPR is conducted by matching features of the database and those from NetVLAD, which we used as a feature extraction network in this study. To evaluate the performance of VPR by comparing the previous methods for DDD17 and the Brisbane-Event-VPR dataset, experimental results demonstrate that the matching accuracy of the proposed method is better than previous methods, especially for datasets with adverse weather conditions. We also verify that the performance and energy efficiency are improved with SNNs over CNNs. Our code is available for download on https://github.com/AIRLABkhu/EvReconNet.
The Impact of Low-Level Benzalkonium Chloride Exposure on Staphylococcus spp. Strains and Control by Photoinactivation

Exposure of bacteria to low concentrations of biocides can facilitate horizontal gene transfer, which may lead to bacterial adaptive responses and resistance to antimicrobial agents. The emergence of antibacterial resistance not only poses a significant concern to the dairy industry but also adds to the complexity and cost of mastitis treatment. This study was aimed to evaluate how selective stress induced by benzalkonium chloride (BC) promotes antibiotic non-susceptibility in Staphylococcus spp. In addition, we investigated the efficacy of photodynamic inactivation (PDI) in both resistant and susceptible strains. The study determined the minimum inhibitory concentration (MIC) of BC using the broth microdilution method for different Staphylococcus strains. The experiments involved pairing strains carrying the qacA/qacC resistance genes with susceptible strains and exposing them to subinhibitory concentrations of BC for 72 h. The recovered isolates were tested for MIC BC and subjected to disc diffusion tests to assess changes in susceptibility patterns. The results demonstrated that subinhibitory concentrations of BC could select strains with reduced susceptibility and antibiotic resistance, particularly in the presence of S. pasteuri. The results of PDI mediated by toluidine blue (100 µM) followed by 60 min irradiation (total light dose of 2.5 J/cm2) were highly effective, showing complete inactivation for some bacterial strains and a reduction of up to 5 logs in others.
High sensitivity fibre surface plasmon resonance sensor based on silver mirror reaction

A novel fibre surface plasmon resonance (SPR) sensor fabricated by a silver mirror reaction is first proposed and demonstrated in this paper. The experimental results showed that the silver film characteristics of the fibre SPR sensing probe are affected by the concentration of silver ammonia solution, and the relations between the concentration of silver ammonia solution and properties of the sensors have been obtained, which is in accordance with the optimal parameters of fibre and silver film through a theoretical simulation. Firstly, a theoretical model of a silver film-based fibre SPR sensing mechanism has been built up. Then the numerical simulations towards the influence of sensing structure, thickness and sensing length of metal films on the sensing system sensitivity have been performed. Finally, the optimal structure parameters of the sensor are obtained. The results show that this fibre SPR sensing system provides a promising platform for sodium chloride solution concentration measurement with a concentration sensitivity of 710.4 nm/%.
Modeling human gait in high school

We propose an experimental activity in order to develop a mathematical model that relates step length and walking speed of human beings. We employ two well-known physics teaching softwares, namely, Tracker to carry out the video analysis and LibreOffice/Calc to obtain graphs, trend lines and equations. The predictions of our model are compared with those of similar models present in the literature. This activity is simple, practical and viable in the most diverse school circumstances, and it has been applied on several occasions in high school lectures at our institute. We have found that it can be, in many ways, useful in physics teaching.
Twisted graphene bilayer around the first magic angle engineered by heterostrain

Electronic properties of twisted graphene bilayer (TGB) are exquisitely sensitive to the twisted angle {\theta} between the layers1-17, which enables the realization of exotic quantum states in this unique family of materials. For example, correlated insulator behavior and unconventional superconductivity are observed very recently in the TGB13,14 around the first magic angle {\theta}~1.1{\deg}, attributing to the existence of low-energy flat bands in which electron-electron interactions dominate the electronic states of the system2-4,16-17. Here we studied effects of heterostrain, where each layer is strained independently, on the TGB around the first magic angle and demonstrated that both the structure and electronic properties of the TGB can be changed dramatically by a slight in-plane heterostrain. Our experiment indicated that a moderate heterostrain could drive an unstrained TGB with {\theta} ~1.5{\deg} into the strained magic-angle TGB, exhibiting the characteristic low-energy flat bands. By further increasing the heterostrain, the triangular moir\'e pattern in the TGB even becomes deformed tetragonal superlattice. Then, the inversion symmetry-broken gaps locally in AB/BA-stacked regions are observed and a network of topological helical edge states emerges in domain walls between the gapped AB and BA regions.
Observations of Whistler Waves Correlated with Electron-scale Coherent Structures in the Magnetosheath Turbulent Plasma

A new type of electron-scale coherent structure, referred to as electron vortex magnetic holes, was identified recently in the Earth’s magnetosheath turbulent plasma. These electron-scale magnetic holes are characterized by magnetic field strength depression, electron density enhancement, temperature and temperature anisotropy increase (a significant increase in perpendicular temperature and a decrease in parallel temperature), and an electron vortex formed by the trapped electrons. The strong increase of electron temperature indicates that these magnetic holes have a strong connection with the energization of electrons. Here, using high time resolution in situ measurements from the MMS mission, it is further shown that electron-scale whistler waves coexist with electron-scale magnetic holes. These whistler waves were found not propagating from remote regions, but generated locally due to electron temperature anisotropy (Te⊥/Te∥) inside the magnetic holes. This study provides new insights into the electron-scale plasma dynamics in turbulent plasmas.
Strategic decision

The strategy represents a unique set of vision, policies, goals and main action plans and activities that ensure the development and progress of an organization. Sophisticated IT technology tools, today, help managers make the right decisions and quality strategic plans. A strategy is a planning decision that specifies the ways to achieve goals. It starts from the given state of the organization, needs and possibilities, and opportunities that prevail in the environment and that condition the way of reaction. Strategy is necessary if the management wants to maintain the organization and achieve some profit. It should enable a higher degree of sensitivity of the organization to changes and demands of the environment, to enable an adequate degree of flexibility in case of great resistance from external factors. Thus, strategic planning is a time, resource concretization component that specifies the most important actions and policies of the entire organization. I believe that the work conceived in the following way provides a solid basis for understanding this issue. Certainly the literature of eminent authors was of great help to me.