Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation of the Normal Blowing Approach to Controlling Wingtip Vortex Using LES

The characteristics and control of a wingtip vortex are of great significance when considering drag reduction and flight safety of transportation aircrafts. The associated aerodynamic phenomenon resulting from rolling up of a wingtip vortex includes boundary layer flow, shear layer separation, and vortex breakdown, while the interaction of a wingtip vortex with the airframe causes induced drag, wingtip noise, etc. This paper studies a normal blowing method utilized to control the wingtip vortex. Large eddy simulation (LES) technique applied to a straight NACA0012 wing having a chord length ( ) of 0.4 m is adopted for this study. The Reynolds number based on the chord length is and the angle of attack is 12°. The computational approach utilized the dynamic Smagorinsky-Lilly subgrid model for 3D simulations. Normal blowing from a high aspect ratio jet from the wingtip lower surface was used to control the wingtip vortex. From 0.05c to 0.30c, the blowing slit width was 1 mm, with the slit exit treated as a velocity inlet boundary condition which supplied the blowing jet with a momentum coefficient of 0.28%. Results of axial velocity and span-wise pressure distribution of the clean airfoil presented good agreement with known experimental data. LES results indicate that normal blowing suppresses the primary vortex strength, while the vortex core radius, maximum induced velocity, axial vorticity flux, and pressure peak of the primary vortex are reduced by 25%, 28%, 46%, and 52%, respectively. Flow field structures before and after blowing show that blowing suppresses the shedding, coiling, and convergence of the free vortex layers near the primary vortex. This study also shows that normal blowing generates a jet-induced vortex at the location of the secondary vortex, while backflow, volume expansion, and spiral burst can be observed in the jet-induced vortex. The bursting jet-induced vortex destroys the jet-like flow structure of the primary vortex at the trailing edge.
Expectation formation in case of newer hotels: The role of advertising, price, and culture Abstract Advertisement and price cues are important sources of information, which influence tourists

Advertisement and price cues are important sources of information, which influence tourists when forming service expectations, particularly in the case of newer hotels. However, it is not clear if such hotels need to promise more or less through their advertisement; or price high or low through their price cues. Extant research is also uncertain about the role of culture (uncertainty avoidance and power distance) in moderating the impact of advertisement and price cues on expectations. Using an experimental setup with 218 tourists from three different countries, this study finds that a newer hotel is likely to be better off by offering more service promises through its advertising and high price cues to its prospective visitors. The results suggest that culture influences how tourists process advertising cues but has no influence on price cues. The study provides insights for managers on how to develop a segmentation strategy using the cultural profiles of tourists.
Reputation Building under Observational Learning

A patient seller interacts with a sequence of myopic consumers. Each consumer decides whether to trust the seller after observing a bounded number of the seller’s past actions and some or all previous consumers’ choices. With positive probability, the seller is a type that commits to play his Stackelberg action. I show that consumers’ ability to observe other consumers’ choices can lead to reputation failures: There exist equilibria where every consumer imitates her predecessor with high probability and the patient seller receives his minmax payoff. Furthermore, the seller receives his minmax payoff in all equilibria where consumers do not trust him in the first period and do not trust him when the worst action profile occurred in the period before. In an extension where every consumer observes all previous consumers’ choices and an unboundedly informative private signal about the seller’s current-period action, the seller receives at least his Stackelberg payoff in all equilibria.
Identify Semantically Similar Queries in Virtual Assistant Dialogues

Currently for production virtual assistants, it’s hard to accurately understand feature usages from usage logs, because if a query is not parsed with the correct natural language (NL) intent in the existing system, then it’s unlikely to be counted towards the correct feature’s usage downstream. We wanted to build on top of Sentence-BERT (SBERT) [1], a ﬁnetuned Bert model proven to have great performances in common semantic textual similarity (STS) tasks, and use it to ﬁnd similar user queries given an example feature query in the raw text usage logs directly. We curated a custom dataset from Google’s Taskmaster 1 dataset as our virtual assistant dialogue corpus. We ran a baseline model which is an SBERT variant off-the-shelf on this new dataset, and we tried ﬁnetuning SBERT variants on our custom dataset to get better performances. In addition, we experimented various ways to leverage entity related information in the queries to improve semantic similarity search quality, and we’ve found a named entity recognition (NER) technique called E-BERT-concat (Poerner, 2020)[2] to visibly improve model performances.
Evaluation and Classification of Rural Multifunction at a Grid Scale: A Case Study of Miyun District, Beijing

Rural areas are a natural, economic and social complex with multiple functions. Identifying rural multifunction scientifically is the basis for promoting efficient rural spatial planning and sustainable development strategy. In this paper, we calculated and characterized the rural production-living-ecological (PLE) functions at a grid scale of 300 × 300 m in Miyun District by establishing an evaluation index system. Several types of rural functional area were identified with the help of an ISO cluster unsupervised classification tool. Three main results were found as follows. (1) The values of the production, living, ecological functions and multifunction ranged from 0–0.101, 0–0.204, 0.009–0.241 and 0.009–0.302, respectively. Ecological function was dominant in this area. (2) The overall spatial patterns of production and living functions showed the characteristic of being “high in the south and low in the north”, and areas with high values were almost distributed around urban areas and the Miyun Reservoir. While for the ecological function and multifunction, they possessed the opposite characteristics to production and living functions, with high values concentrated in the mountainous areas in the northwest, northeast, east and south of Miyun District. (3) According to the clustering results, rural multifunction of Miyun District was divided into four types: ecological conservation, employment and residence, recreation and potential development, with the area proportions of 44.22%, 17.92%, 20.73% and 17.13%, respectively. Each functional type showed a characteristic of agglomeration. In the future, the study of rural multifunction at micro scales should be paid more attention to better understand the functional differences within the country. This research can provide a decision-making reference for demarcation of rural production-living-ecological space and compilation of spatial planning.
Green Organizational Identity: Anticedents And Consequences: An Empirical Study

Purpose: This study aims to test the framework of green organizational identity to check the positive impact of environmental organizational culture and environmental leadership on green innovation performance and green competitive advantage and via mediator – green organizational identity. Design/methodology/approach: Cross‐sectional research design was applied to this study. Data collected from 400 respondents and proposed hypothesis were verified through Structural Equation Modelling (SEM) technique and mediation analysis. Findings: Findings indicate a positive impact on green organizational identity. Besides this green organizational identity plays a partial mediator role and has a positive impact on green competitive edge and green innovation performance. Small and medium enterprises (SMEs) have a low environmental organizational culture that environmental organizational culture and environmental leadership have significant and environmental leadership than large organizations. SMEs should improve their environmental organizational culture and environmental leadership to enhance the green organizational identity. Practical implications: Through the green organizational identity model organizational will able to enhance their green organizational identity that will give assist to gain green competitive advantage and to improve green innovation performance. Originality/value: This study applies the theory of green organizational identity and develops an integral conceptual model to check its sources and outcomes.
The Mediating Role of Vietnamese Consumer Trust on Organic Food Consumption

Although consumers show high interest in as well as positive attitudes for organic food, the actual purchase of organic foods is regularly quite low. Previous studies have used the theory of planned behavior to explain consumers’ intention to buy organic food but have paid little attention on consumers’ trust. Literature also have emphasized that trust has been plating crucial role in making purchase decision. Hence, the study investigated the mediating role of consumer trust in making purchase decision on organic foods. A total of 159 customers from 3 supermarkets in Thai Nguyen province were elicited for the information needed in the study. Hayes’s bootstrapping procedure and corresponding SPSS macro was used to analyze the data. Results showed that trust has mediated between positive attitudes and intention to purchase organic foods. As subjective norm and perceived behavioral control have impacts on intention to buy organic food, trust also mediated these relationships. Therefore, in making purchase decisions, trust on the food has a major impact. Findings can be used to craft policies and innovations on organic foods to increase the trust of consumers thereby increasing organic consumption in Thai Nguyen, Vietnam.
TWO ANTI-CANCER DRUGS , INHIBIT CYP 3 A 4-AND ACTIVATE CY 3 A 5-MEDIATED MIDAZOLAM 1 ’-HYDROXYLATION

Department of Medical Oncology, International Medical Center-Comprehensive Cancer Center, Saitama Medical University, Hidaka 350-1298, Japan (M.S., K.F., K.Y., Y.A., Y.S.); Project Research Laboratory, Research Center for Genomic Medicine, Saitama Medical University, Hidaka 350-1241, Japan (M.S., K.F., Y.A., Y.S.); Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, 3-3165 Higashi-tamagawa Gakuen, Machida, Tokyo 194-8543, Japan (N.M., H.Y.). DMD Fast Forward. Published on January 25, 2011 as doi:10.1124/dmd.110. 037853
Data Augmentation for ASR using CycleGAN-VC

There is a signiﬁcant performance gap in ASR systems between black and white speakers, which is attributed to insufﬁcient audio data from black speakers available for models to train on. We aim to close this gap by using a CycleGAN based voice converter to generate African American Vernacular English utterances from generic American English utterances as a data augmentation strategy. By using a two-step adversarial loss and a self-supervised frame ﬁlling task, we were able to noticeably improve the qualitative performance of our CycleGAN based voice conversion pipeline. In spite of this, we could not establish the method of CycleGAN based voice conversion as a reliable method for data augmentation. While this project was challenging, it was especially rewarding to conduct this line of research which has the ultimate goal of ensuring that marginalized voices are heard. All code is publicly available at our Github repository.
Cycle Consistent Embedding of 3D Brains with Auto-Encoding Generative Adversarial Networks

Modern generative adversarial networks (GANs) have been enabling the realistic generation of full 3D brain images by sampling from a latent space prior Z (i.e., random vectors) and mapping it to realistic images in X (e.g., 3D MRIs). To address the ubiquitous mode collapse issue, recent works have strongly imposed certain characteristics such as Gaussianness to the prior by also explicitly mapping X to Z via encoder. These eﬀorts, however, fail to accurately map 3D brain images to the desirable prior, which the generator assumes to be sampling the random vectors from. On the other hand, Variational Auto-Encoding GAN (VAE-GAN) solves mode collapse by enforcing Gaussianness by two learned parameter, yet causes blurriness in images. In this work, we show how our cycle consistent embedding GAN (CCE-GAN) both accurately encodes 3D MRIs to the standard normal prior, and maintains the quality of the generated images. We achieve this without a network-based code discriminator via the Wasserstein measure. We quantitatively and qualitatively assess the embeddings and the generated 3D MRIs using healthy T1-weighted MRIs from ADNI.
PPA_A_277650 2327..2336

School of Public Health, Dalian Medical University, Dalian, Liaoning 116044, People’s Republic of China Purpose: China is the second highest tuberculosis (TB) burden in the world, and TB patients in the rural areas are about twice as many as urban patients. The purpose of present study was to explore the roles of medication adherence, doctor–patient trust and communication on treatment effects, and its inequality between urban and rural areas. Methods: There were 564 eligible TB patients, from four tuberculosis hospitals in China, participating in this cross-sectional study. They filled out questionnaires regarding sociodemographic characteristics, medication adherence, treatment effect, doctor–patient trust, and communication. The structural equation model (SEM) was applied to explore the hypotheses in this study. All statistical analysis was done by SPSS 25.0 and Mplus 7.0 statistical software. Results: This study included 267 (47.34%) urban and 297 (52.66%) rural eligible TB patients. The data fitted the research model well, and the urban TB patients reported better treatment effect than the rural ones (P=0.027). Overall, treatment adherence positively predicted treatment effect (Est.=0.353, P<0.001); doctor–patient communication positively influenced treatment adherence (Est.=0.214, P=0.002); and treatment adherence positively mediated the role of communication on treatment effect (Est.=0.076), 95% CI (0.026, 0.152). While in the grouping model, the urban patients’ treatment effect was only influenced by adherence (Est. =0.286, P=0.003); for the rural patients, treatment adherence (Est.=0.464, P<0.001) and doctor–patient trust (Est.=0.382, P=0.019) directly predicted treatment effects, and treatment adherence positively mediated the role of doctor–patient communication on treatment effect (Est.=0.175, P=0.006). Conclusion: The treatment effect of TB patients, from urban and rural China, was influenced by a different mechanism, among which rural TB patients need not only improve the treatment adherence but also establish good doctor–patient trust and communication to improve treatment effects. These findings provided a theoretical guide on treatment and control for rural TB patients.
Approach to Credit Valuation Adjustment (CVA) and Wrong Way Risk

This paper presents a Least Square Monte Carlo approach for accurately calculating credit value adjustment (CVA). In contrast to previous studies, the model relies on the probability distribution of a default time/jump rather than the default time itself, as the default time is usually inaccessible. As such, the model can achieve a high order of accuracy with a relatively easy implementation. We find that the valuation of a defaultable derivative is normally determined via backward induction when their payoffs could be positive or negative. Moreover, the model can naturally capture wrong or right way risk.
The Role of PK/PD Analysis in the Development and Evaluation of Antimicrobials

Pharmacokinetic/pharmacodynamic (PK/PD) analysis has proved to be very useful to establish rational dosage regimens of antimicrobial agents in human and veterinary medicine. Actually, PK/PD studies are included in the European Medicines Agency (EMA) guidelines for the evaluation of medicinal products. The PK/PD approach implies the use of in vitro, ex vivo, and in vivo models, as well as mathematical models to describe the relationship between the kinetics and the dynamic to determine the optimal dosing regimens of antimicrobials, but also to establish susceptibility breakpoints, and prevention of resistance. The final goal is to optimize therapy in order to maximize efficacy and minimize side effects and emergence of resistance. In this review, we revise the PK/PD principles and the models to investigate the relationship between the PK and the PD of antibiotics. Additionally, we highlight the outstanding role of the PK/PD analysis at different levels, from the development and evaluation of new antibiotics to the optimization of the dosage regimens of currently available drugs, both for human and animal use.
Firest: Visualizing the Current State and Impact of Wildfires Across Canada

Wildfires are a pressing natural disaster impacting the entire world. People can benefit from a comprehensive visualization not only representing the wildfires but also their effects on air quality and connection with changing climate patterns. Data related to fire parameters, affected areas, evacuated areas, exist either in survey data form or via satellite datasets. There are also related resources that can be employed to better understand the impact of wildfires and its correlation with climate change, for instance, air quality index, smoke map, weather patterns drawn from historical data. In this context, we present Firest — a Tableau-based visualization of current and historical wildfires; published on the web for open access. Firest aims to integrate multiple variables of interest regarding wildfires in one resource, facilitating access to wildfire related information. The scope is currently limited to Canada.
Deep-Ultraviolet–Blue-Light Surface Plasmon Resonance of Al and Alcore/Al2O3shell in Spherical and Cylindrical Nanostructures

The surface plasmon resonance (SPR) properties in the deep-ultraviolet (UV) to blue-light region of Al and Alcore/Al2O3shell in spherical and cylindrical nanostructures have been investigated using the discrete dipole approximation method. Simulation results show that the extremely short resonance wavelength of the Al nanostructures means the SPR is highly sensitive to the particle size and results in significant phase retardation and multipole resonance. Cylindrical Al nanoparticles show multipole resonance peaks with extremely strong intensity and narrow widths that are blue-shifted and then red-shifted with an increase in the cylinder length. An expression of the SPR peak wavelength, λmax, is derived and related to the peak shift. Cylindrical Alcore/Al2O3shell nanostructures are shown to modulate the SPR through changes to the aspect ratio and Al2O3 shell thickness. The results will assist greatly in modulating or optimizing SPR in the deep-UV to blue-light region for multimode optical filter, enhanced.
A SURVEY OF TECHNIQUES AND DESIGN FOR MICROSTRIP PATCH ANTENNA

In today’s growing world, Microstrip also known as patch antennas are becoming more useful as they can be printed openly onto a circuit board. The Microstrip antennas are also very useful within the mobile phone market. Patch antennas are low profile, low cost and are easily fabricated. In telecommunication, there are several types of microstrip antennas and the frequently used is the patch antenna or microstrip patch antenna. Microstrip antennas are relatively economical to design and assemble because of feature like simple 2-dimensional physical geometry. They are usually employed at UHF and higher frequencies because the size of the antenna is directly tied to the wavelength at the resonant frequency. A single patch antenna has ability to provide maximum directive gain of around 6-9dBi. It is relatively easy to print an array of patches. Patch arrays can gives greater gains at little additional cost; matching and phase adjustment is possible to perform with printed microstrip feed structures, again in the same operations that form the radiating patches. The patch antenna has is able to create high gain arrays in a low-profile which make it applicable on airplanes as well as in other military applications.
Antioxidant and Antiradical Properties of Some Examples of Flavonoids and Coumarins—Potentiometric Studies

A comprehensive study of a range of flavonoids and coumarins is presented in this article. The work uses an approach that evaluates the activity of these compounds by various mechanisms: the electron transfer (ET), the hydrogen atom transfer (HAT), and the mechanism of metal chelation. The studies were carried out using the methods of the cyclic voltammetry and the potentiometry. The electrochemical behavior of these compounds was studied by the method of cyclic voltammetry; the main types of voltammograms, depending on the oxidation mechanisms, were identified. Various versions of potentiometric sensor systems have been used to detect analytical signal in approaches implemented in ET, HAT and metal chelation mechanisms. The antioxidant capacity was studied by the electron-transfer mechanism. Compounds with antioxidant properties were selected; half-reaction periods for these compounds have been determined. It has been shown that electron-donating and complexing properties directly depend on the mutual arrangement of hydroxyl groups in the molecule. The antiradical ability of the compounds has been studied. It was shown that all studied compounds inhibit peroxyl radicals. Series on the change in antioxidant and antiradical properties of compounds have been compiled. There is no correlation between the results of the study of antioxidant properties obtained using sensory systems that reveal various antioxidant mechanisms. The need to use an integrated approach in the study of antioxidant properties is shown.