Miracle-dz/UniFAR-FTUs huggingface dataset:
Hypervelocity skin-friction reduction by boundary-layer combustion of hydrogen

Shock-tunnel measurements of Stanton number and skin-friction coefficient are reported for the injection of hydrogen through a 1.6-mm slot into a turbulent boundary layer in a l-m-long duct. The mainstream Mach number of 4.5, stagnation enthalpy of 7.8 MJ/kg, pressure of 50 kPa, and temperature of 1500 K provided a combination of flow variables that was sufficient to ensure boundary-layer combustion of the hydrogen. The experiments were also simulated by a numerical mode). The experiments and the numerical model indicated that the Stanton number was only slightly affected by boundary-layer combustion. However, the numerical simulation indicated that injection with combustion caused a reduction of approximately 50% in the skin friction coefficient, whereas the experiments yielded an even greater effect, with the reduction in skin-friction coefficient reaching 70-80% of the values of skin friction with no injection. Numerical simulation of a constant pressure flow indicated that boundary-layer combustion caused the skin-friction reduction to persist for at least 5 m downstream.
Magnetocaloric effect in the R Ni 5 ( R=Pr , Nd, Gd, Tb, Dy, Ho, Er) series

In this paper, the magnetocaloric effect in the hexagonal intermetallic compounds belonging to the RNi5 series was calculated using a Hamiltonian including the crystalline electrical field, exchange interaction, and the Zeeman effect. Experimental work was performed and the two thermodynamics quantities, namely, isothermal entropy change and adiabatic temperature change were obtained for polycrystalline samples, using heat capacity measurements, and compared to the theoretical predictions.
A Machine Learning-based Lightweight and Real-time Cardiac Arrhythmia Detection using Optimum Samples and Features

Multi-class cardiac arrhythmia detection (MCAD) from electrocardiogram (ECG) using various machine learning (ML) techniques has been active research area for some time. In the context of real-time wearable applications towards MCAD, the real challenge is lightweight architecture development with high accuracy. This research proposes an optimal raw sample selection from cardiac cycles, optimal features selection and corresponding real-time low-resource hardware implementation for CAD. It describes a two-stage sample reduction and selection, through beat skeletonization and segmentation into pre-QRS, QRS and post-QRS region from a cardiac cycle. A joint feature set consisting of optimally selected 14 morphological features and 10 deep autoencoder (DAE) extracted features from selected samples fed to a random forest classifier provides 95.34% detection accuracy while evaluated with most common 8 classes from MIT BIH arrhythmia database. The proposed CAD was implemented in an ARM v6 single core controller with a detection latency of 182 ms and 200 kbytes of execution memory, with an improved performance over few published works on real-time MCAD. The results are encouraging for real-time wearable MCAD detection development research.
Fire Detection System with Artificial Intelligence

Nowadays the laundry service industry is growing each day. The laundry shops customers are usually facing problems like finding laundry shops near to their area. It is difficult for laundry service provider or laundry shops the management and maintenance of information and records related customers laundry clothes, bills, and number of cloth given by customers for dry washing or normal washing, also there is so much chances of customer laundry clothes mix-ups with other customer laundry clothes if the laundry shop do not manage and maintain proper details about the customer cloths, this all problem may cause dissatisfaction of customer and losing of customer trust on the laundry shop. This paper proposes web applications for overcoming all above mentioned problems and issues faced by laundry shops and peoples. Another feature provided by this proposed web the laundry shop owner can advertise his or her laundry shop and advertise offers or discounts offered by the laundry shop owners to their customers. In future this proposed web application can be used by people for searching best laundry shops.
Saviour: A Smart Multi-Input & Output Flood Comprehensive Management System based on IoT & Location

Flash floods are considered life-threatening and have an unfavorable impact on public health, economic activities, the environment, and cultural heritage in many countries worldwide. This study presents the design, implementation, and testing of telemetry stations as part of an ongoing project aiming to construct a smart multi-input and output flood comprehensive management system based on the internet of things and location called Saviour. Obtaining a robust design architecture for Saviour requires content analysis of 15 existing flood management systems. The results showed that the architectural design of Saviour’s telemetry stations is characterized by effortless installation and maintenance in a manner that allows the villagers to carry out routine maintenance work. Moreover, the results showed that the telemetry stations can switch automatically to stand-alone flood self-warning systems in case of an Internet failure. Besides, the results showed that Saviour is able to present high-accuracy real-time data with an error rate that does not exceed 0.90%, and the stations can be configured locally or remotely.
Estimations of reference evapotranspiration using empirical equations for Nossa Senhora da Glória municipaility, Sergipe state

Studying evapotranspiration is fundamentally important for the correct use of water resources aiming a sustainable management. The objective of this work was to evaluate, compare and recommend one or more methods to estimate evapotranspiration using fewer weather variables for the region of Nossa Senhora da Glória. Data from January 2018 to December 2019 were obtained from the meteorological station in the Embrapa experimental Unit at the Nossa Senhora da Glória campus. The following methods were tested: Blaney-Criddle, Camargo, Linacre, Jensen-Haise, Hargreaves & Samani and Penman-Momteih. This last method is the FAO standard one, and the others were compared to it. Comparisons were performed using the statistical indicators of the Willmott concordance index, plus the coefficients of determination (R) and correlation (r), besides the standard error of estimation (SEE) and performance index-c. Regarding the performance index-c, the methods were classified as Blaney-Criddle (very bad), Camargo (bad), Linacre (good), Jensen-Haise (very good) and Hargreaves & Samani (very good). Therefore, the Jensen-Haise was the most suitable method for estimating the reference evapotranspiration with fewer climate variables in the region.
Automatic target recognition via sparse representations

Automatic target recognition (ATR) based on the emerging technology of Compressed Sensing (CS) can considerably improve accuracy, speed and cost associated with these types of systems. An image based ATR algorithm has been built upon this new theory, which can perform target detection and recognition in a low dimensional space. Compressed dictionaries (A) are formed to include rotational information for a scale of interest. The algorithm seeks to identify y(test sample) as a linear combination of the dictionary elements : y=Ax, where A ∈ Rnxm(n<<m) and x is a sparse vector whose non-zero entries identify the input y. The signal x will be sparse with respect to the dictionary A as long as y is a valid target. The algorithm can reject clutter and background, which are part of the input image. The detection and recognition problems are solved by finding the sparse-solution to the undetermined system y=Ax via Orthogonal Matching Pursuit (OMP) and l1 minimization techniques. Visible and MWIR imagery collected by the Army Night Vision and Electronic Sensors Directorate (NVESD) was utilized to test the algorithm. Results show an average detection and recognition rates above 95% for targets at ranges up to 3Km for both image modalities.
CLEVRER-Humans: Describing Physical and Causal Events the Human Way

Building machines that can reason about physical events and their causal relationships is crucial for flexible interaction with the physical world. However, most existing physical and causal reasoning benchmarks are exclusively based on synthetically generated events and synthetic natural language descriptions of causal relationships. This design brings up two issues. First, there is a lack of diversity in both event types and natural language descriptions; second, causal relationships based on manually-defined heuristics are different from human judgments. To address both shortcomings, we present the CLEVRER-Humans benchmark, a video reasoning dataset for causal judgment of physical events with human labels. We employ two techniques to improve data collection efficiency: first, a novel iterative event cloze task to elicit a new representation of events in videos, which we term Causal Event Graphs (CEGs); second, a data augmentation technique based on neural language generative models. We convert the collected CEGs into questions and answers to be consistent with prior work. Finally, we study a collection of baseline approaches for CLEVRER-Humans question-answering, highlighting the great challenges set forth by our benchmark.
A National Qualitative Study of Work-Life Balance in Prelicensure Nursing Faculty

Abstract AIM This study explored how full-time, prelicensure baccalaureate nursing faculty members described their experiences with work-life balance. BACKGROUND With increasing shortages of nursing faculty and practicing nurses, schools of nursing are developing faculty recruitment and retention efforts. It is imperative to understand the experiences of nursing faculty with regard to balancing their work and personal lives. METHOD A web-based survey including two open-ended questions related to work-life balance was disseminated to deans of nursing programs, who disseminated the survey to nursing faculty. Thematic analysis was used to analyze the data. RESULTS The sample (n = 320) was representative of current nursing faculty demographics. Three themes emerged: Relationship With Administration, Nursing Faculty Workload, and Boundary Setting. Opposing subthemes were noted in each theme. CONCLUSION Administrators may use the findings from this study to create administrator and faculty development opportunities and mentorship programs that promote work-life balance of nursing faculty.
Schema Matching using Pre-Trained Language Models

Schema matching over relational data has been studied for more than two decades. However, the state-of-the-art methods do not address key modern-day challenges encountered in real customer scenarios, namely: 1) no access to the source (customer) data due to privacy constraints, 2) target schema with a much larger number of entities and attributes compared to the source schema, and 3) different but semantically equivalent entity and attribute names in the source and target schemata. In this paper, we address these shortcomings. Using real-world customer schemata, we demonstrate that existing linguistic matching approaches have low accuracy. Next, we propose the Learned Schema Mapper (LSM), a novel linguistic schema matching system that leverages the natural language understanding capabilities of pre-trained language models to improve the overall accuracy. Combining this with active learning and a smart attribute selection strategy that selects the most informative attributes for users to label, LSM can significantly reduce the overall human labeling cost. Experimental results demonstrate that users can correctly match their full schema while saving as much as 81% of the labeling cost compared to manual labeling.
Correlated random walk

ABSTRACT Random walk on a d-dimensional lattice is investigated such that, at any stage, the probabilities of the step being in the various possible directions depend upon the direction of the previous step. The motion may be characterized by a generating function which is here derived. The generating function is then used to obtain some general properties of the walk. Certain special cases are considered in greater detail. The existence of recurrent points is investigated in particular, and the probability of returning to the origin after 2n steps. This latter function is evaluated asymptotically for the cases d = 1 and d = an even integer.
Cognitive, Affective, And Desire Factors In Predicting Domestic Tourism Intention: Application Of The Model Of Goal-Directed Behavior

Tourism is one of the sectors that the COVID-19 pandemic has directly impacted. The decline in domestic and foreign tourists impacts the country's economy. Therefore, this study aims to test the theory of Goal-Directed Behavior in predicting the intention to visit local tourists during the Covid-19 pandemic. This study uses a quantitative approach and uses a purposive sampling strategy to obtain data through the distribution of online surveys. Two hundred nine respondents met domestic travel requirements in the past year. Structural Equation Modeling (SEM) is used as an analytical tool in testing research hypotheses. The analysis showed that the relationship between attitudes, subjective norms, perceived behavioural control, anticipated positive emotions, and anticipated negative emotions was mediated by desire towards intention.
Relativistic time transfer in the vicinity of the Earth and in the solar system

The algorithms for relativistic time transfer in the vicinity of the Earth and in the solar system are derived. The concepts of proper time and coordinate time are distinguished. The coordinate time elapsed during the transport of a clock and the propagation of an electromagnetic signal is analysed in three coordinate systems: an Earth-Centred Inertial (ECI) coordinate system, an Earth-Centred Earth-Fixed (ECEF) coordinate system and a barycentric coordinate system. The timescales of Geocentric Coordinate Time (TCG), Terrestrial Time (TT) and Barycentric Coordinate Time (TCB) are defined and their relationships are discussed. Some numerical examples are provided to illustrate the magnitudes of the effects.
How Does Firm Location Affect Cash Holdings?

: Using a sample of Vietnamese listed companies, this study finds a statistically significant relationship between geographical location and cash holdings. Companies located in the two biggest financial centers, Hanoi and Ho Chi Minh City, have about a two percent higher cash over assets ratio than companies located in other regions. In addition, the average enterprises in five cities under the jurisdiction of the central government (Hanoi, Ho Chi Minh City, Da Nang, Can Tho, and Hai Phong) also have a higher cash-over-assets ratio of about two percent more than their counterparts in the provinces. If geographical location is measured as the distance from the firms’ headquarters to Hanoi or Ho Chi Minh City, the analysis still shows robust evidence.
Solar wind diagnostics from Doppler-enhanced scattering

Solar wind ions can attain sufficient outflow speed, w, to cause line excitation by chromospheric or transition region radiation in a nearby line. It is shown that this extends the diagnostic possibilities of a coronal EUV line to much larger values of w than would be possible if pumping were limited to radiation from the same spectral line. For the 1037.6 A coronal line of O VI, the pumping effect of the chromospheric C II 1037.0 A line is efficient for w between 100 and 250 km/s. An approximate expression for the line ratio for a doublet of the Li or Na isoelectronic sequences is derived, and the diagnostic capabilities of doublet line ratios, either by themselves or combined with the observation of other quantities, are discussed. In particular, that the determination of doublet line ratios at several heights can be sufficient to yield the solar wind velocity at those heights together with a constraint on other coronal parameters. 18 references.
Littlewood’s Diophantine approximation problem for series

where amnO and m may be positive, negative, or zero, then there is an analogue for K {t } of Littlewood's problem for the real numbers. The field K{t} corresponds to the real numbers, the ring K[t] of polynomials with coefficients in K corresponds to the rational integers, and we define the analogue of the distance to the nearest integer function by ||yII=e' , where a-,= = = =+10, a.h#O. The analogue of Littlewood's problem was solved by Davenport and Lewis in [2 ]. They proved that there exist 0, 4 in K { t } such that
Low-frequency variations in the wake of a circular cylinder at Re = 3900

Flow around cylindrical structures is of relevance for many practical applications. Knowledge of flow-related unsteady loading of such structures is crucial for hydro - and aerodynamic control and design. In order to obtain a deeper knowledge of this kind of flow, a DNS have been performed at ReD = 3900 (ReD = UrefD/ν). The instantaneous velocity signals of probes located in the separated shear-layer and in the vortex formation region exhibit the presence of low-frequency variations. The statistical analysis of these signals suggest that low-frequency variations in the vortex formation length, suction base pressure and intermittencies in the shear layer are closely related. It is shown that these variations are the responsible of the large scattering of data obtained in different experimental and numerical results, as well as the U-shape and V-shape stream-wise velocity profiles observed in the very near wake of the cylinder.
Mapping AG Carinae: Long-Slit Spectroscopy and Coronographic Imaging of the Nebula and Jet

New high-resolution images of the nebula around the luminous blue variable AG Carinae have been obtained with the Johns Hopkins Adaptive Optics Coronograph at the Swope 40 inch (1 m) telescope, Las Campanas, in the light of Hα + [N II] and in a narrow V continuum. The images confirm the presence of highly axisymmetric features in AG Carinae's circumstellar environment. In addition, new, high signal-to-noise ratio long-slit spectroscopic data are presented, in the spectral range (6363-7254 A), spatial resolution 0.89 ″/pixel, and spectral resolution 40 km/s, with full spatial coverage of the nebula
Some two-dimensional internal waves in a stratified fluid

Experiments are presented in which two-dimensional internal waves were generated in a stably stratified fluid by the movement of a long horizontal circular cylinder. The cylinder was moved with a constant velocity at Reynolds numbers based on the diameter of the cylinder of between 6 and 100. Under these conditions the internal wave system is stationary with respect to the moving cylinder and the phase configuration of the waves compares well with Lighthill's theory for waves in dispersive systems.
Potential flow models of Rayleigh–Taylor and Richtmyer–Meshkov bubble fronts

A potential flow model of Rayleigh–Taylor and Richtmyer–Meshkov bubbles on an interface between an incompressible fluid and a constant supporting pressure (Atwood number A=1) is presented. In the model, which extends the work of Layzer [Astrophys. J. 122, 1 (1955)], ordinary differential equations for the bubble heights and curvatures are obtained by considering the potential flow equations near the bubble tips. The model is applied to two‐dimensional single‐mode evolution as well as two‐bubble competition, for both the Rayleigh–Taylor (RT) and the Richtmyer–Meshkov (RM) instabilities, the latter treated in an impulse approximation. The model predicts that the asymptotic velocity of a single‐mode RM bubble of wavelength λ decays as λt−1, in contrast with the constant asymptotic velocity attained in the RT case. Bubble competition, which is believed to determine the multimode front evolution, is demonstrated for both the RT and RM instabilities. The capability of the model to predict bubble growth in a fin.
Idealized simulations of the effect of Taiwan and Philippines topographies on tropical cyclone tracks

The effects of topography on tropical cyclone (TC) tracks are investigated using the Weather Research and Forecasting model running on a beta plane with actual topography. Two sets of experiments are performed, one focusing on Taiwan topography and the other on the Philippines. In each set, different parts of the terrain are set to be either present or absent and the TCs are inserted at a location southeast of the mountain so that landfall occurs at the central part of the mountain in the no‐terrain (control) cases. Relative to the control case, a pair of terrain‐induced gyres is found in all with‐terrain experiments. This pair of gyres rotates cyclonically around the TC and the gyre‐associated flow near the TC centre causes a northward deflection of the TC track prior to landfall. An examination of the potential vorticity tendencies (PVTs) suggests that, in addition to the PVT produced by this flow, the PVT from diabatic heating cannot be ignored in explaining the TC track during landfall. The asymmetric diabatic heating is significant, which tends to retard the fast displacement of the TC caused by horizontal advection. This diabatic heating distribution results from three different mechanisms: an incursion of dry air from the mountain, low‐level convergence induced by the terrain‐altered wind field in the southwestern part of the TC and the development of convergence cyclonically inward from the eastern side of the mountain to the TC core. However, the first two mechanisms are apparently missing in the Philippine experiments because of the lower height and the moister air over the mountains on Luzon Island.
ON CONFORMAL KILLING TENSOR IN A RIEMANNIAN SPACE

where pc is a certain vector field. Because we can easily show that a conformal Killing tensor in this sense is a Killing tensor, i.e., we have pc = 0. Thus this definition of conformal Killing tensor is meaningless. In this paper we shall define a conformal Killing tensor in another way and generalize some results about a conformal Killing vector to the conformal Killing tensor. The definition which we shall adopt is suggested by the following fact. A parallel vector field in the Euclidean space E induces a
Implicit solution of time spectral method for periodic unsteady flows

The present paper investigates the implicit solution of time spectral model for periodic unsteady flows. In the time spectral model, the physical time derivative is approximated using spectral method. The robustness issues associated with implicit solution of time spectral model are analyzed and validated by numerical results. It is found that spectral approximation of the time derivative weakens the diagonal dominance property of the Jacobian matrix, resulting in the deterioration of stability and convergence speed. In this paper we propose to solve the coupled governing equations implicitly using multigrid preconditioned generalized minimal residual (GMRES) method, which demonstrates favorable convergence speed. Also it is demonstrated that the current method is insensitive to the variations of frequency and number of harmonics. Comparison of computation results with dual time step unsteady computation validates the high efficiency of the current method. Copyright © 2009 John Wiley & Sons, Ltd.