Miracle-dz/UniFAR-FTUs huggingface dataset:
Growth Features of Bi2Te3Sb1.5 Films on Polyimide Substrates Obtained by Pulsed Laser Deposition

Thermoelectric materials in the form of thin films are used to create a wide variety of sensors and devices. The efficiency of these devices depends on the quality and efficiency of the thermoelectric materials obtained in the form of thin films. Earlier, we demonstrated that it is possible to obtain high-performance Bi2Te3Sb1.5 films less than 1 μm thick on polyimide substrates by using the PLD method, and determined optimal growth conditions. In the current work, the relationship between growth conditions and droplet fraction on the surface, microstructure, grain size, film thickness and chemical composition was studied. A power factor of 5.25 μW/cm×K2 was achieved with the reduction of droplet fraction on the film surface to 0.57%. The dependencies of the film thickness were studied, and the effect of the thickness on the efficiency of the material is shown. The general trend in the growth dynamics for Bi2Te3Sb1.5 films we obtained is the reduction of crystalline size with Pressure-Temperature (PT) criterion. The results of our work also show the possibility of a significant reduction of droplet phase with simultaneous management of crystalline features and thermoelectric efficiency of Bi2Te3Sb1.5 films grown on polyimide substrates by varying growth conditions.
A Model of Panic Buying and Workforce under COVID-19

Allowing there to be an undersupply of medical resources and infection amid the social workforce, this paper proposes a theory to show how panic buying is induced and how bad the workforce status could be. By developing a novel general equilibrium model, we find that for any retail price that is higher than the buyer’s reserve value, the buying competition will be induced and the medical resources supply will further be tightened. Moreover, if the transmission rate of COVID-19 surpasses the theoretical threshold that is proposed by this paper, the whole workforce in our simulated economy will inevitably be infected.
Neuropsychiatric Symptoms after Liver Transplantation in a 65-Year-Old Male Patient

The development of immunosuppressants has been key for the advancement of solid organ transplant surgery. Specifically, cyclosporine, tacrolimus, or everolimus have significantly increased the survival rate of patients by reducing the risk of a rejection of the transplanted organ and limiting graft-versus-host disease. We report the case of a 65-year-old man who, after undergoing a liver transplantation and receiving an immunosuppressive treatment with cyclosporine and everolimus, presented severe obsessive, psychotic, and behavioral symptoms over the past three years, and describe the pharmacological and non-pharmacological interventions implemented against these symptoms. In this case, the immunosuppressants used have been cyclosporine and, preferably, everolimus. On the other hand, potential adverse reactions to the treatment have been observed, including neuropsychiatric symptoms such as tremor, anxiety, dysthymia, psychosis, and behavioral disorders, which make it necessary to use corrective psychoactive drugs such as benzodiazepines, antidepressants, and antipsychotics, combined with non-pharmacological interventions. A transversal approach, from the medical and psychosocial disciplines, facilitates success in managing neuropsychiatric symptoms after soft organ transplants.
Improved real time object detection method for remote sensing image based on YOLOv4

The rapid development of computer vision has brought great convenience to remote sensing image processing technology, significantly improved the accuracy of target detection in remote sensing images and saved human effort. However, in the real-time remote sensing detection work, the complex and changeable weather conditions bring great difficulties to the detection. The existing models have shortcomings such as missed detection, slow detection speed, bloated and complex, and large number of parameters. In this paper, we propose a lightweight rapid deployment network framework based on ghostnet improved yolov4. First, ghostnet real-time lightweight extraction is introduced to speed up the search speed and save training costs; secondly, improve the Panet fusion network and add a self-attention mechanism at the up sampling point; use the K++ algorithm to optimize the size of the anchor of the remote sensing image detection target, and finally improve the loss function and add hyperparameters to suppress the imbalance between the target and background categories during training. Experiments show that compared with the original version of YOLOV4mAP in the data set, the mAP is increased by 2.2%, the calculation amount is reduced by 35%, and the FPS is increased by 78%. Therefore, G-YOLOv4 does have better performance in mAP, model size and FPS compared to YOLOV4's mAP, model size and FPS.
Self-preserving turbulent wall jets over convex surfaces

The flow of an ostensibly two-dimensional wall jet over a logarithmic spiral has been studied both experimentally and theoretically. It is established that, if the skin friction is effectively constant, the flow may be self-preserving, and this is confirmed experimentally for the two spirals studied ($x/R = \frac{2}{3}$ and x/R = 1). The rate of growth has been predicted using the integral momentum equation and the integral equation for the combined mean and turbulent energy. Important assumptions in this theory are that the turbulence structure parameter $\overline{u^{\prime}v^{\prime}}/\overline{q^{\prime 2}}$ and the normalized mean position of the superlayer are invariant with curvature, and the experiments show that this is nearly true. The growth is constant for each spiral and increases with curvature. Using the measured rate of growth, the integral energy equation gives a satisfactory prediction of the turbulent shear stress, but the two-dimensional integral momentum does not. The turbulence is very intense in these flows and the Reynolds stresses were corrected using correlations of up to fourth order. However, the corrections may still have been too small, which would account for some of the difference between the calculated and measured shear stress. The outer flow of a wall jet strongly influences the inner boundary layer and this effect is found to increase with curvature. The conventional logarithmic law of the wall ceases to apply for $x/R >\frac{2}{3}$.
Mobility analysis of the 3-UPU parallel mechanism assembled for a pure translational motion

The occurrence of singular configurations in parallel mechanisms must be avoided during motion since the actuators cannot control motion even in the neighbourhood of these configurations. As a consequence, the knowledge of the singular configurations of the mechanism is important for control purposes, for singularity-tree path planning and also represents basic information for the synthesis of a desired mechanism workspace free front singularities. In this paper the mobility analysis of the 3-UPU parallel mechanism assembled for obtaining a pure translation motion of the output platform is performed and both translation and rotation singularity loci are presented in an analytic form and their geometric interpretation is given.
Swimming, better than tennis, develops sensorimotor adaptabilities involved in postural balance in 5-6-year-old children

Abstract Purpose The present study aimed to evaluate the postural balance of young tennis players and young swimming practitioners in static and dynamic conditions. Methods Thirty-six children (5–6 years old) participated in 3 groups: 12 tennis players, 12 swimming practitioners and 12 controls. Static and dynamic [in medial lateral (ML) and anterior posterior (AP) planes] postural balance were assessed by the centre of pressure sways using a stabilometric force platform in the eyes opened (EO) and eyes closed (EC) conditions. Results In the EO condition, swimming practitioners and tennis players had a significantly lower (p < 0.05) centre of pressure mean velocity (CoPVm) compared to controls in both static and dynamic medial-lateral (D-ML) postures. In the D-ML posture, swimming practitioners showed lower CoPVm compared to tennis players. However, in the EC condition, only the swimming practitioners showed better static and D-ML postural balance (p < 0.05) compared to their counterparts. In the static posture, the Romberg index value was significantly higher (p < 0.05) in tennis players compared to the two other groups. Conclusion Tennis players developed a higher reliance on vision to maintain balance, whereas swimming practitioners were more stable in challenging postural conditions. Clinicians should consider incorporating swimming training rather than tennis as an appropriate balance training in fall-prevention programs.
Attitude towards financial planning of Italian households (Attitudine alla pianificazione finanziaria delle famiglie italiane)

Employing structured financial planning to manage personal finances on is associated with higher levels of financial well-being and increased ability to react to shocks. Therefore, it is important to understand the factors associated with the propensity to plan and what it is that promotes financial planning. Our empirical evidence for a sample of Italian households shows a poor inclination for financial planning. CONSOB Survey data on the financial investments made by of Italian household (or FIIH) are used to estimate a probit model which shows a positive association between financial planning and financial knowledge, and the relevance of personal traits such as financial anxiety and financial self-efficacy, financial control (control over savings, spending and indebtedness) and financial conditions. The findings provide useful insights for financial decision-makers in the context of financial education initiatives and client-intermediary relationship aimed at promoting appropriate attitudes and choices towards managing money.
Research aircraft measurements of a polar low over the Norwegian Sea

On 27 February 1984, the Arctic Cyclone Expedition carried out the first research aircraft measurements within a polar low. The low developed over the Norwegian Sea south of Jan Mayen in response to the baroclinic forcing by an eastward propagating upper-level synoptic-scale short wave. Observations from the NOAA WP-3D research aircraft documented the three-dimensional distribution of wind, temperature, moisture, and precipitation within the low. The polar low had a warm inner core and maximum surface winds of ˜ 35 m s -1 . Heavy meso-convective precipitation was encountered within a frontal-like, mesoscale, baroclinic shear zone that spiraled into the low center from its southwestern quadrant. Vorticity and divergence values within the front reached 25 times 10 -4 s -1 and 13 times 10 -4 s -1 , respectively, where the frontal width narrowed to 10 km near the sea surface. Radar reflectivities exceeded 40 dBZ within the meso-convective precipitation band and were confined to low levels (below 3 km). The maximum total heat flux (sensible plus latent) from the sea surface into the atmosphere was 1000 W m -2 , comparable with that observed for mature tropical cyclones. Satellite cloud images revealed that this polar low was the most intense development in a family outbreak of 5 polar lows that formed as an east-west vortex chain between Iceland and the north coast of Norway over a 48 h period. DOI: 10.1111/j.1600-0870.1987. tb00309.x
Levilactobacillus brevis MG5311 Alleviates Ethanol-Induced Liver Injury by Suppressing Hepatic Oxidative Stress in C57BL/6 Mice

Alcoholic liver disease (ALD), caused by excessive alcohol consumption, leads to high mortality. We investigated the hepatoprotective effect of Levilactobacillus brevis MG5311 in C57BL/6 mice with liver injuries induced by chronic ethanol plus binge feeding. L. brevis MG5311 was administered orally at a dose of 1 × 109 CFU/mouse once daily for 32 days. L. brevis MG5311 administration significantly reduced serum ALT, AST, and triglyceride (TG) levels in ethanol-fed mice. L. brevis MG5311 also decreased malondialdehyde levels and increased glutathione peroxidase (GPx) activity in liver tissues. In addition, hepatic TG content and histopathological scores were significantly reduced. L. brevis MG5311 increased the protein expression of SIRT1, PPARα, SOD1, CAT, and GPx 1/2 in liver tissue, while inhibiting CYP2E1 and SREBP-1c. These results indicated that L. brevis MG5311 alleviated ethanol-induced liver injury by inhibiting hepatic oxidative stress and promoting lipid metabolism. Therefore, L. brevis MG5311 may be a useful probiotic candidate for ameliorating or preventing ALD.
Get Closer to the World of Contact Sites: A Beginner's Guide to Proximity-Driven Fluorescent Probes

To maintain cellular homeostasis and to coordinate the proper response to a specific stimulus, information must be integrated throughout the cell in a well-organized network, in which organelles are the crucial nodes and membrane contact sites are the main edges. Membrane contact sites are the cellular subdomains where two or more organelles come into close apposition and interact with each other. Even though many inter-organelle contacts have been identified, most of them are still not fully characterized, therefore their study is an appealing and expanding field of research. Thanks to significant technological progress, many tools are now available or are in rapid development, making it difficult to choose which one is the most suitable for answering a specific biological question. Here we distinguish two different experimental approaches for studying inter-organelle contact sites. The first one aims to morphologically characterize the sites of membrane contact and to identify the molecular players involved, relying mainly on the application of biochemical and electron microscopy (EM)-related methods. The second approach aims to understand the functional importance of a specific contact, focusing on spatio-temporal details. For this purpose, proximity-driven fluorescent probes are the experimental tools of choice, since they allow the monitoring and quantification of membrane contact sites and their dynamics in living cells under different cellular conditions or upon different stimuli. In this review, we focus on these tools with the purpose of highlighting their great versatility and how they can be applied in the study of membrane contacts. We will extensively describe all the different types of proximity-driven fluorescent tools, discussing their benefits and drawbacks, ultimately providing some suggestions to choose and apply the appropriate methods on a case-to-case basis and to obtain the best experimental outcomes.
Bayesian testing for embedded hypotheses with application to shape constrains

In this paper we study Bayesian answers to testing problems when the hypotheses are not well separated and propose a general approach with a special focus on shape constrains testing. We then apply our method to several testing problems including testing for positivity and monotonicity in a nonparametric regression setting. For each of this problems, we show that our approach leads to the optimal separation rate of testing, which indicates that our tests have the best power. To our knowledge, separation rates have not been studied in the Bayesian literature so far.
Coherence properties of high-order harmonics : Application to high-density laser-plasma diagnostic

We present two interferometry schemes in the extreme ultraviolet, based on either the wave-front division of a unique harmonic beam (1st scheme) or two spatially separated, phase-locked harmonic sources (2nd scheme). In the first scheme using a Fresnel bimirror interferometer, we measure the degree of spatial coherence of the 13 th harmonic generated in xenon, as a function of different parameters. A high degree of coherence, larger than 0.5, is found for the best conditions in almost the full section of the beam. Then, we demonstrate that the second scheme can be used for interferometry measurements with an ultrahigh time resolution. The 11th harmonic is used to study the spatial variation of the electron density of a laser-produced plasma. Electronic densities higher than 2.10 20 cm -3 are measured. (Less)
Forecasting crop yield through weather indices through LASSO

Reliable forecast of crop production before the harvest is important for advance planning, formulation and implementation policies dealing with food procurement, its distribution, pricing structure, import and export decisions, and storage and marketing of the agricultural commodities. Weather plays a very important role in crop growth and development. Therefore, model based on weather variables can provide reliable forecast. Weather variables used can be employed for crop production forecast by making appropriate models. In this study, a statistical model is used for crop yield forecast at different growth stages of wheat crop. This model uses maximum and minimum temperature, rainfall, morning and evening relative humidity during crop growing period. The forecast model was developed using generated weather indices as regressors in model. In order to select significant weather variables affecting the yield of crop least absolute shrinkage and selection operator (LASSO) as well as stepwise regression methodology is applied. The result of lasso gives a better result as compared to stepwise regression. The R2 of lasso and stepwise regression are 0.84 and 0.85, respectively. The mean square error (MSE) and root mean square error (RMSE) of Lasso regression were better than stepwise regression, which leads to improvement of crop yield forecasting. It can be inferred that for the data under consideration, lasso works better than stepwise regression for variable selection.
Racism and resilience of pandemic proportions: online harassment of Asian Americans during COVID-19

ABSTRACT This study explores perceptions of online racial hate speech directed at Asian Americans in the United States during the COVID-19 pandemic. We examined how individuals’ enactment of resilience communication in response to that threat affected their self-reported estimates of personal health. Using a nationally representative survey (n = 1767) that oversampled Asian Americans (n = 455), we found that Asian Americans perceived the problem of online hate speech to be more severe than members of non-targeted groups. Analysis revealed a mediated pathway through which heightened perceptions of online racial hate speech were positively associated with individuals’ enactment of specific resilience processes tied to identity affirmation, which was linked to positive gains in psychological health. Results contribute to resilience theory in the context of racism and the observed relationships between resilience communication and health. We discuss how individuals in minoritized communities and allies might use resilience to combat the synergistic stressors of the COVID-19 pandemic.
Analysis of interfacial thermal stresses in a trimaterial assembly

The interfacial stresses in, and the curvature of, an elongated trimaterial assembly, subjected to the change in temperature, are predicted based on an approximate structural analysis (strength-of-materials) model. The obtained results can be helpful in stress–strain evaluations and physical design of trimaterial assemblies in microelectronic and photonic packaging.
Women Directors and Firm Profitability: The Role of Corporate Environmental Responsibility Engagement

Women in the professional world are still experiencing inequality, discrimination, and obstacles in achieving top management positions. The role of women in improving the com­pany's financial performance is still being debated to this day. This study aims to investigate the role of women directors in 129 manufacturing companies in Indonesia from 2015 to 2019. The data obtained were analyzed using structural equation modelling – partial least square (SEM-PLS). This study found that corporate environmental responsibility engagement did not mediate the relationship between women directors and firm profitability. This study found a significant negative relationship between women directors and corporate environmental responsibility but a significant positive influence between corporate environ­men­­tal responsibi­lity engagement and firm profitability. However, this study found no signifi­cant relationship between women directors and profitability.
Fast Sleep Stage Classification Using Cascaded Support Vector Machines with Single-Channel EEG Signals

Long-term sleep stage monitoring is very important for the diagnosis and treatment of insomnia. With the development of wearable electroencephalogram (EEG) devices, we developed a fast and accurate sleep stage classification method in this study with single-channel EEG signals for practical applications. The original sleep recordings were collected from the Sleep-EDF database. The wavelet threshold denoising (WTD) method and wavelet packet transformation (WPT) method were applied as signal preprocessing to extract six kinds of characteristic waves. With a comprehensive feature system including time, frequency, and nonlinear dynamics, we obtained the sleep stage classification results with different Support Vector Machine (SVM) models. We proposed a novel classification method based on cascaded SVM models with various features extracted from denoised EEG signals. To enhance the accuracy and generalization performance of this method, nonlinear dynamics features were taken into consideration. With nonlinear dynamics features included, the average classification accuracy was up to 88.11% using this method. In addition, with cascaded SVM models, the classification accuracy of the non-rapid eye movement sleep stage 1 (N1) was enhanced from 41.5% to 55.65% compared with the single SVM model, and the overall classification time for each epoch was less than 1.7 s. Moreover, we demonstrated that it was possible to apply this method for long-term sleep stage monitor applications.
A proposed framework for CSR implementation and impact assessment from organization and CSR beneficiary perspective

Though organizations make massive expenditures in corporate social responsibility (CSR) activities, they fail to gauge the social and economic impact on the beneficiaries (Barnett, Henriques, & Husted, 2020). This study aims to provide a comprehensive framework that enables CSR activity identification, implementation, and impact assessment for an organization, considering the perspectives of important stakeholders in the CSR activity. First, the paper reviews the research literature related to CSR and CSR impact assessment and proposes a framework that addresses the research gaps found in the literature. The five-step framework for CSR activity identification, implementation, and impact assessment infuses the stakeholder perspective. It identifies the broad parameters that can be used to assess the impact of the CSR activity. Suggested criteria entail qualitative and quantitative evaluation practices, thus ensuring holistic impact assessment (Drews, 2010; Weber, 2008). The framework will enable transparent reporting of CSR expenditure and ensure disclosure of the actual impact made by CSR at the ground level. The accountability in reporting through the framework will curb CSR washing and decoupling. The stakeholder perspective emphasizing CSR beneficiaries and the impact assessment parameters provide a novel way of implementing and assessing CSR activity