Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining Tourist Visit Intention to Nature-Based Tourism in Post-COVID-19 Pandemic

The study aims to investigate tourist visit intentions to nature-based tourism destinations after the COVID-19 pandemic. The theory of planned behavior (TPB) was used as the primary theoretical foundation to foresee tourist visit intention. This study used a quantitative research design with a purposive sampling technique to collect data. A total of 325 datasets were found to be suitable for the next analysis using partial least square structural equation modeling (PLS-SEM). The findings indicate that entirely of the TPB factors are significant in influencing tourist visit intention. Specifically, tourist attitude has the greatest influence on tourist visit intention. It implies that the TPB can effectively forecast tourist visit intention to nature-based tourism destinations. Consequently, destination managers should consider the TPB elements when making decisions. Keywords: nature-based tourism, theory planned behavior, visit intentions, post- COVID-19, PLS-SEM
Depression in Patients With Intracranial Hemorrhage Secondary to Traumatic Brain Injury

This article discusses the prevalence of depression in patients with intracranial hemorrhage (ICH) and the relationship of selective serotonin reuptake inhibitor (SSRI) use with bleeding risk. A detailed account of the patient’s psychiatric history and current hospital admission is also provided. This article then further explores the pathophysiological mechanisms that contribute to depression in ICH patients, the effect of SSRIs on outcomes in patients with ICH, and ways to treat depression in ICH patients. Based on the literature, the conclusion is that practitioners should avoid SSRIs in ICH patients with certain genetic markers and treat depression as seriously as one would treat a physical ailment. Ultimately, more research is necessary to explore how to treat depression in this patient population.
Strategic leadership and its influence on competitive advantage in strategic collaborations between universities and teaching hospitals in Kenya

Kenya lags behind in the attainment of universal healthcare goals and targets despite envisioningcollaborations in healthcare as being critical to the realization of the universal health goals. The general objective of the study was to establish the influence of strategic leadership on strategiccollaboration competitive advantage among universities and teaching hospitals in Kenya. This studyadopted a positivist philosophy and a descriptive cross sectional research design. The study populationcomprised 10 universities and 10 teaching hospitals as approved by the Kenya Medical Practitionersand Dentists Council, respectively. The census technique was deployed to make use of all the elementsin the population with primary data collected by use of a structured questionnaire, while secondarydata was collected using a document review guide. Frequencies, measures of central tendency anddispersal were used in descriptive statistical analysis, while correlations, cross tabulations and ordinallogistic regression were used for inferential statistical analysis. Ordinal logistic regression helpeddetermine the significance of relationships between the predictor and outcome variables. The studyestablished that strategic leadership was significant for collaboration competitive advantage.Competitive advantage was operationalized using financial outcomes and learning and growth.Strategic leadership was a significant predictor of financial outcomes in universities (β = 1.524, p <0.05), teaching hospitals (β = 1.7, p < 0.05) and combined (β = 1.556, p < 0.05). Strategic leadershipwas also a significant predictor of learning and growth in universities (β = 0.981, p < 0.05), teachinghospitals (β = 1.186, p < 0.05) and combined (β = 1.037, p < 0.05).
Energy and Charge Transfer in Open Plasmonic Systems

Energy and Charge Transfer in Open Plasmonic Systems Niket Thakkar Chair of the Supervisory Committee: Associate Professor David J. Masiello Chemistry Coherent and collective charge oscillations in metal nanoparticles (MNPs), known as localized surface plasmons, offer unprecedented control and enhancement of optical processes on the nanoscale. Since their discovery in the 1950’s, plasmons have played an important role in understanding fundamental properties of solid state matter and have been used for a variety of applications, from single molecule spectroscopy to directed radiation therapy for cancer treatment. More recently, experiments have demonstrated quantum interference between optically excited plasmonic materials, opening the door for plasmonic applications in quantum information and making the study of the basic quantum mechanical properties of plasmonic structures an important research topic. This text describes a quantitatively accurate, versatile model of MNP optics that incorporates MNP geometry, local environment, and effects due to the quantum properties of conduction electrons and radiation. We build the theory from first principles, starting with a silver sphere in isolation and working our way up to complex, interacting plasmonic systems with multiple MNPs and other optical resonators. We use mathematical methods from statistical physics and quantum optics in collaboration with experimentalists to reconcile long-standing discrepancies amongst experiments probing plasmons in the quantum size regime, to develop and model a novel single-particle absorption spectroscopy, to predict radiative interference effects in entangled plasmonic aggregates, and to demonstrate the existence of plasmons in photo-doped semiconductor nanocrystals. These examples show more broadly that the theory presented is easily integrated with numerical simulations of electromagnetic scattering and that plasmonics is an interesting test-bed for approximate methods associated with multiscale systems. To Mom and Dad, for always reminding me not to work too hard.
Antibacterial MccM as the Major Microcin in Escherichia coli Nissle 1917 against Pathogenic Enterobacteria

Probiotic Escherichia coli Nissle 1917 (EcN) possesses excellent antibacterial effects on pathogenic enterobacteria. The microcins MccM and MccH47 produced in EcN played critical roles, but they are understudied and poorly characterized, and the individual antibacterial mechanisms are still unclear. In this study, three EcN mutants (ΔmcmA, ΔmchB, and ΔmcmAΔmchB) were constructed and compared with wild-type EcN (EcN wt) to test for inhibitory effects on the growth of Escherichia coli O157: H7, Salmonella enterica (SE), and Salmonella typhimurium (ST). The antibacterial effects on O157: H7 were not affected by the knockout of mcmA (MccM) and mchB (MccH47) in EcN. However, the antibacterial effect on Salmonella declined sharply in EcN mutants ΔmcmA. The overexpressed mcmA gene in EcN::mcmA showed more efficient antibacterial activity on Salmonella than that of EcN wt. Furthermore, the EcN::mcmA strain significantly reduced the abilities of adhesion and invasion of Salmonella to intestinal epithelial cells, decreasing the invasion ability of ST by 56.31% (62.57 times more than that of EcN wt) while reducing the adhesion ability of ST by 50.14% (2.41 times more than that of EcN wt). In addition, the supernatant of EcN::mcmA culture significantly decreased the mRNA expression and secretion of IL-1β, TNF-α, and IL-6 on macrophages induced by LPS. The EcN::mcmA strain generated twice as much orange halo as EcN wt by CAS agar diffusion assay by producing more siderophores. MccM was more closely related to the activity of EcN against Salmonella, and MccM-overproducing EcN inhibited Salmonella growth by producing more siderophores-MccM to compete for iron, which was critical to pathogen growth. Based on the above, EcN::mcmA can be developed as engineered probiotics to fight against pathogenic enterobacteria colonization in the gut.
Field-effect proximity exchange coupling in bilayer graphene on monolayer ferromagnetic semiconductor Cr$_2$X$_2$Te$_6$ with X=Ge, Si, and Sn

We investigate the electronic band structure and the proximity exchange effect in bilayer graphene on a family of ferromagnetic multilayers Cr$_2$X$_2$Te$_6$, X=Ge, Si, and Sn, with first principles methods. In each case the intrinsic electric field of the heterostructure induces an orbital gap on the order of 10 meV in the graphene bilayer. The proximity exchange is strongly band dependent. For example, in the case of Cr$_2$Ge$_2$Te$_6$, the low-energy valence band of bilayer graphene has exchange splitting of 8 meV, while the low energy conduction band's splitting is 30 times less (0.3 meV). This striking discrepancy stems from the layer-dependent hybridization with the ferromagnetic substrate. Remarkably, applying a transverse electric field of a few V/nm reverses the exchange, allowing us to effectively turn on and off proximity magnetism in bilayer graphene. Such a field-effect should be generic for van der Waals bilayers on ferromagnetic insulators, opening new possibilities for spin-based devices.
Subordination and superordination results for Φ-like functions

Let q1 be convex univalent and q2 be univalent in∆ := {z : |z| < 1} with q1(0) = q2(0) = 1. Let f be a normalized analytic function in the open unit disk ∆. LetΦ be an analytic function in a domain containing f(∆), Φ(0) = 0 andΦ′(0) = 1. We give some applications of first order differential subordination and superordination to obtain sufficient conditions for the functionf to satisfy q1(z) ≺ z(f ∗ g)′(z) Φ(f ∗ g)(z) ≺ q2(z) whereg is a fixed function.
Improving Patient Safety in the X-ray Inspection Process with EfficientNet-Based Medical Assistance System

Patient safety is a paramount concern in the medical field, and advancements in deep learning and Artificial Intelligence (AI) have opened up new possibilities for improving healthcare practices. While AI has shown promise in assisting doctors with early symptom detection from medical images, there is a critical need to prioritize patient safety by enhancing existing processes. To enhance patient safety, this study focuses on improving the medical operation process during X-ray examinations. In this study, we utilize EfficientNet for classifying the 49 categories of pre-X-ray images. To enhance the accuracy even further, we introduce two novel Neural Network architectures. The classification results are then compared with the doctor’s order to ensure consistency and minimize discrepancies. To evaluate the effectiveness of the proposed models, a comprehensive dataset comprising 49 different categories and over 12,000 training and testing sheets was collected from Taichung Veterans General Hospital. The research demonstrates a significant improvement in accuracy, surpassing a 4% enhancement compared to previous studies.
A task decoupled framework for enhancing the deep learning-based spatiotemporal fusion method

ABSTRACT Spatiotemporal fusion (STF) is a cost-effective way to reconstruct time-series images. In recent years, deep learning-based (DL-based) STF methods have received substantial attention. However, two limitations of DL-based STF methods still remain: (1) existing methods require simultaneous learning of both the multi-source images correction model and the STF model, which complicates the training task. The high complexity poses a challenge for the network to accurately learn the underlying mathematical principles of STF, thereby reducing the method’s reliability and generalization ability; (2) existing methods tend to generate blurry predictions. To address these limitations, this study proposes a task decoupled (TD) framework that offers a simple yet effective solution for enhancing DL-based STF method. The framework consists of a correction model and a STF model, which are trained using actual and simulated image pairs, respectively, to learn the multi-source images correction model and STF mathematical model. The loss of edge feature is added in the loss function of the STF model to ameliorate its detailed information preservation ability. The proposed framework is evaluated on three DL-based STF methods in five different sites using root-mean-square error (RMSE) and Robert’s edge (Edge) to assess spectral and spatial accuracy. The experimental results indicate that the proposed framework can significantly improve the models’ ability to predict spectral information (average increase rate = 5.3% in spectral accuracy), preserve spatial information (average increase rate = 16.2% in spatial accuracy), retrieve land cover change, and generalize to new data. These findings demonstrate the effectiveness of the proposed framework in addressing the limitations of existing DL-based STF methods and its potential for advancing STF applications.
Wide‐angle and polarization‐independent broadband microwave metamaterial absorber

We present a broadband metamaterial absorber (MA) in the microwave frequency regime by utilizing a periodic array of metallic‐dielectric multilayered conical frustums. The absorption performance of the proposed MA is simulated and analyzed in details by using the finite‐difference time domain method. The absorption efficiencies greater than 90% can be achieved while maintaining with large incidence angles up to 600. Furthermore, the perfect polarization independence is also obtained due to its rotational symmetrical structure. The obtained excellent absorber performance reveals that the proposed MA is promising candidates for camouflage and stealth radome applications. Moreover, we believe that this structure can be extended to design perfect broadband absorbers in the terahertz, infrared, and optical frequencies. © 2017 Wiley Periodicals, Inc. Microwave Opt Technol Lett 59:1157–1161, 2017
Technology Adoption and Career Concerns: Evidence from the Adoption of Digital Technology in Motion Pictures

This paper shows the impact of career concerns on technological change by studying the adoption of digital cameras in the US motion picture industry in the early 2000s. This setting allows us to collect rich data on the adoption of this new technology at a project level (i.e., movie) as well as focus on the career of the main decision maker (i.e., the director). We find that less experienced directors played a leading role in the adoption of digital cameras, and that this effect appears to be explained by career concerns, rather than alternative motives. We also show that technological background may lead to tendency to adopt new untried technologies. Lastly, we discuss how our results can be informative about career concerns and technology adoption outside the specific context studied.
Adjustments to unemployment amid COVID-19: Implementation of ABCX model of family stress on Chinese tourism industry

Abstract This research investigates the psychological health of tourism industry’s workforce in the midst of COVID-19 in the context of Chinese Tourism Industry. We have employed stress theory for the predictive analysis and hypothesis crafting in terms of mediator (financial dissatisfaction) and moderators (quality of marital relationship and family income). Path analysis has been used to evaluate different relationships while adopting ABCX family stress model. The findings confirm that alongside the economic and livelihood impacts of the unemployment, the tourism industry’s workforce has also suffered from psychological externalities of the phenomenon, not only individually but also in terms of their relationships at different levels. It further elaborates the inculcation of resilience in the tourism workforce on part of the maintenance of stability and harmony in the original family. It implies that the head over heels job responsibilities and joblessness foster work-family conflict equally likely.
The Meso-Expression Test (MET): A Novel Assessment of Emotion Perception

Emotion perception is a primary facet of Emotional Intelligence (EI) and the underpinning of interpersonal communication. In this study, we examined meso-expressions—the everyday, moderate-intensity emotions communicated through the face, voice, and body. We theoretically distinguished meso-expressions from other well-known emotion research paradigms (i.e., macro-expression and micro-expressions). In Study 1, we demonstrated that people can reliably discriminate between meso-expressions, and we created a corpus of 914 unique video displays of meso-expressions across a race- and gender-diverse set of expressors. In Study 2, we developed a novel video-based assessment of emotion perception ability: The Meso-Expression Test (MET). In this study, we found that the MET is psychometrically valid and demonstrated measurement equivalence across Asian, Black, Hispanic, and White perceiver groups and across men and women. In Study 3, we examined the construct validity of the MET and showed that it converged with other well-known measures of emotion perception and diverged from cognitive ability. Finally, in Study 4, we showed that the MET is positively related to important psychosocial outcomes, including social well-being, social connectedness, and empathic concern and is negatively related to alexithymia, stress, depression, anxiety, and adverse social interactions. We conclude with a discussion focused on the implications of our findings for EI ability research and the practical applications of the MET.
Impact of Antioxidants on DC and AC Electrical Properties of XLPE-Based Insulation Systems

In this article, the impact of two different antioxidants (Irganox®1076 and PS802) on the electrical properties of a cross-linked polyethylene (XLPE) matrix is investigated and discussed. Materials were tested by means of dielectric spectroscopy, thermally stimulated depolarization currents (TSDC) and DC conductivity measurements to provide a comprehensive analysis for their applications under AC and DC electric fields. Results reveal that electrical properties are notably modified by the introduction of additives and the amplitude of variation is somehow proportional to the concentration of the additive with respect to the polymer matrix. In particular, TSDC measurements claim that antioxidants introduce deep traps (>1 eV) inside the base material and the density of these traps increases in accordance with antioxidant concentration. Moreover, due to the polar properties of these species, the complex permittivity raises with respect to base XLPE, and it adequately follows the antioxidant concentration. On the contrary, negligible variations in terms of DC conductivity are recorded.
Design of High-Frequency Fast-Rise Pulse Modulators for Lifetime Testing of Dielectrics

Penetration of power electronics in the grid has produced a new species of stresses, characterized by fast-rising pulsed waveforms with microsecond rise times repeating at several tens of kilohertz. Analyzing their impact on existing and future insulation systems requires pulse modulators, most often with pulse transformers (PTs), to perform aging and breakdown tests. PT design for klystron loads has been studied extensively albeit for either low repetition rates or short pulse durations. However, capacitive dielectric loads impose additional complex constraints on optimizing leakage (<inline-formula> <tex-math notation="LaTeX">${L}_{\sigma }$ </tex-math></inline-formula>) and parasitic capacitance (<inline-formula> <tex-math notation="LaTeX">${C}_{d}$ </tex-math></inline-formula>) in order to minimize rise time (<inline-formula> <tex-math notation="LaTeX">${T}_{r}$ </tex-math></inline-formula>) and overshoot (<inline-formula> <tex-math notation="LaTeX">$V_{\text {pk}}$ </tex-math></inline-formula>). Ensuring consistent output pulse shape is crucial since breakdown is sensitive to voltage magnitude. This article discusses these challenges through the design procedure of a modulator prototype capable of producing bipolar pulses up to 14 kV with rise times <inline-formula> <tex-math notation="LaTeX">$ < 2 ~\mu \text{s}$ </tex-math></inline-formula> at frequencies between 10 and 50 kHz. Major challenges, especially core selection, winding design, PT parasitic optimization, breakdown detection, and failure modes, are highlighted. A new PQR equation is derived to model modulators with capacitive loads. Finally, the output pulses are applied across oil-impregnated paper samples to generate statistics on insulation breakdown strength and lifetime at 10 and 50 kHz. Results illustrate a reduction in lifetime and breakdown strength at 50 kHz. This is possibly due to the nonhomogenous distribution of dielectric losses within the oil-paper leading to local hotspots and eventual thermal breakdown. Furthermore, a critical field <inline-formula> <tex-math notation="LaTeX">${F}_{c} = {21}$ </tex-math></inline-formula> kV/mm is found below which the slope of the lifeline decreases dramatically, thereby indicating a shift in the aging mechanism. Potential reasons for this phenomenon are also discussed.
Differential effect of music on memory depends on emotional valence: An experimental study about listening to music and music training

Abstract Research has shown that memory is influenced by emotion. Several studies demonstrated the effectiveness of pharmacological and non-pharmacological interventions to modulate emotional memory pursuing clinical and educational aims. Music has been identified as a potential memory modulator, with results differing widely depending on whether the participant had musical training or not. The current study examined the effect of listening to music on musicians’ and non-musicians’ positive (study 1) and negative (study 2) emotional memory, in a group of 163 volunteers, aged 18–40. After the information was encoded, the groups of participants were exposed to arousing music (Symphony No. 70, D major by Joseph Haydn) or a control stimulus (white noise) for three minutes. Then memory was evaluated through free recall and recognition (immediate and deferred measures). Memory performance was compared between musicians (people with five or more years of music education) and non-musicians. Positive and negative images were better recalled than neutral ones, positive images were better recognized than neutral ones however neutral images were better recognized than negative ones. In Study 1, listening to white noise enhanced recall compared to listening to music. In Study 2, listening to arousing music enhanced recall compared to listening to white noise, and this effect was more pronounced in musicians than non-musicians. Our findings suggest that music has a great impact on memory, especially in those with experience in the field, which is reflected in cognitive performance.
Scrutinizing the effect of substrate temperature and enhancing the multifunctional attributes of spray deposited copper gallium sulfide (CuGaS2) thin films

ABSTRACT Polycrystalline chalcopyrite CuGaS2 thin films were prepared using a spray pyrolysis route has been considered a potential material for the solar cell absorber layer. Scanning Electron Microscopy (SEM) and Atomic Force Microscopy (AFM) studied the impact of substrate temperature in the range of 200–300˚C on surface profile and roughness. Powder X-ray diffraction disclosed that the films were polycrystalline at all examined substrate temperatures, with crystallite size increasing with increased substrate temperature. The UV-Vis displays the cut-off wavelength in 550–880 nm for varied substrate temperatures of CuGaS2 thin films, and the observed band gap is 2.75 eV–1.89 eV. The electrical attributes showed the enhancement in mobility (4.632 cm2 V−1 s−1) for varied substrate temperatures of CuGaS2 thin films. The 300˚C temperature sprayed CuGaS2 polycrystalline films are a decent candidate to be apposite as an absorber layer in thin film photovoltaic solar cells.