Miracle-dz/UniFAR-FTUs huggingface dataset:
Building a Virtual Weakly-Compressible Wind Tunnel Testing Facility

Virtual wind tunnel testing is a key ingredient in the engineering design process for the automotive and aeronautical industries as well as for urban planning: through visualization and analysis of the simulation data, it helps optimize lift and drag coefficients, increase peak speed, detect high pressure zones, and reduce wind noise at low cost prior to manufacturing. In this paper, we develop an efficient and accurate virtual wind tunnel system based on recent contributions from both computer graphics and computational fluid dynamics in high-performance kinetic solvers. Running on one or multiple GPUs, our massively-parallel lattice Boltzmann model meets industry standards for accuracy and consistency while exceeding current mainstream industrial solutions in terms of efficiency --- especially for unsteady turbulent flow simulation at very high Reynolds number (on the order of 107) --- due to key contributions in improved collision modeling and boundary treatment, automatic construction of multiresolution grids for complex models, as well as performance optimization. We demonstrate the efficacy and reliability of our virtual wind tunnel testing facility through comparisons of our results to multiple benchmark tests, showing an increase in both accuracy and efficiency compared to state-of-the-art industrial solutions. We also illustrate the fine turbulence structures that our system can capture, indicating the relevance of our solver for both VFX and industrial product design.
Imprecise Store Exceptions

Precise exceptions are a cornerstone of modern computing as they provide the abstraction of sequential instruction execution to programmers while accommodating microarchitectural optimizations. However, increasing compute capabilities in deep memory hierarchies (e.g., software event handlers, programmable accelerators) expose long exception detection latencies that forgo precise exception semantics for retired stores awaiting completion. Unfortunately, well-known post-retirement speculation mechanisms to tolerate these latencies require excessively large microarchitectural structures per core. This paper rethinks the role of architecture and OS in supporting precise exceptions. We show that instead of forcing the architecture to support precise exceptions transparently in all cases, it is preferable to employ hardware-software co-design to handle imprecise store exceptions efficiently. We develop formalism to prove that this approach complies with underlying memory consistency models and design a RISC-V prototype that passes all litmus tests, demonstrating its efficacy.
Optimal decision procedures for finite markov chains. Part I: Examples

A Markov process in discrete time with a finite state space is controlled by choosing the transition probabilities from a prescribed set depending on the state occupied at any time. Given the immediate cost for each choice, it is required to minimise the expected cost over an infinite future, without discounting. Various techniques are reviewed for the case when there is a finite set of possible transition matrices and an example is given to illustrate the unpredictable behaviour of policy sequences derived by backward induction. Further examples show that the existing methods may break down when there is an infinite family of transition matrices. A new approach is suggested, based on the idea of classifying the states according to their accessibility from one another.
BAYESIAN SEMIPARAMETRIC REGRESSION AND RELATED APPLICATIONS

of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy BAYESIAN SEMIPARAMETRIC REGRESSION AND RELATED APPLICATIONS By Dhiman Bhadra August 2010 Chair: Malay Ghosh Cochair: Michael J. Daniels Major: Statistics Case-Control studies and small area estimation are two distinct areas of modern Statistics. The former deals with the comparison of diseased and healthy subjects with respect to risk factor(s) of a disease with the aim of capturing disease exposure association specially for rare diseases. The later area is concerned with the measurements of characteristics of small domains regions whose sample size is so small that the usual survey based estimation procedures cannot be applied in the inferential routines. Both these areas are important in their own right. Case-control studies forms one of the pillars of modern biostatistics and epidemiology and has diverse applications in various health related issues, specially those involving rare diseases like Cancer. On the other hand, estimates of characteristics for small areas are widely used by Federal and local governments for formulating policies and decisions, in allocating federal funds to local jurisdictions and in regional planning. My dissertation deals with the application of Bayesian semiparametric procedures in modeling unorthodox data scenarios that may arise in case control studies and small area estimation. The first part of the dissertation deals with an analysis of longitudinal case-control studies i.e case-control studies for which time varying exposure information are available for both cases and controls. In a typical case-control study, the exposure information is collected only once for the cases and controls. However, some recent medical studies have indicated that a longitudinal approach of incorporating the entire exposure history,
Hover Performance Assessment of Several Tip Shapes using OVERFLOW

Several rotor blade tip shapes based on the S-76 model scale rotor are assessed for performance in hover using OVERFLOW and compared against experimental data collected in the Sikorsky Model Hover Test Facility. The calculations use a time-accurate approach and produced solutions across a range of thrust conditions. Comparisons are made among the rotors for thrust-power, Figure of Merit, distributed air loads, and vortex trajectories. The effect of coning is also examined. Best practices are offered for predicting relative hover performance improvements among rotor blades.
Some practical aspects of a conditional likelihood approach to capture experiments

The use of conditional likelihood methods in the analysis of capture data allows the modeling of capture probabilities in terms of observable characteristics of the captured individuals and the trapping occasions. The resulting models may then be used to estimate the size of the population. Here the use of conditional likelihood procedures to construct models for capture probabilities is discussed and illustrated by an example.
MATCHING FEATURES USING FOURIER DESCRIPTORS

A major problem for today's cartographer is in the realm of cartographic automation, where paper, or analog, maps are scanned into digital form and edited into a final cartographic product. Of the many hurdles in this endeavor, are the problems in raster to vector conversion. This problem results in an in-exact fit from the source map to the final digital product, producing line work that does not match exactly. This inexactness causes obstacles later on during the object/feature matching phase of the automation process. To deal with the problems of inexact matches of objects, a method must be used to determine shape of objects, with enough flexibility to increase matches with poor quality input. The inexactness may be represented in scale, translation and rotation and noise of true map objects. The ideal tool for studying stationary signals is the Fourier transform. In other words, stationary signals decompose canonically into linear combinations of waves (sines and cosines). In the same way, signals that are not stationary decompose into linear combinations of wavelets. (Meyer, 1993)
Model-based decomposition with adaptive selection of unitary transformations

In this paper a three component model-based decomposition with adaptive selection of unitary transformations for polarimetric synthetic aperture radar (POLSAR) data processing is proposed. Singh et al implemented two unitary transformations on the coherency matrix to minimize the power of cross-polarization, and as a result the T23element of the coherency matrix becomes zero. Another two unitary transformations are proposed by us to carry out on the coherency matrix also to minimize the power of crosspolarization, and the T13element of the coherency matrix becomes zero. Here, we first implement Singh's two unitary transformations and the proposed two unitary transformations on the coherency matrix separately. Then we select the one which leads to the smaller T33. At last, we carry out the three component model-based decomposition proposed by Freeman and Durden based on the obtained coherency matrix. The smaller T33is obtained, the better the over-estimation of volume scattering in model-based decomposition can be suppressed. The RADARSAT-2 POLSAR data of San Francisco area is used to validate the improvement of the proposed method over the three component decomposition only with Singh's two unitary transformations.
A DESCRIPTIVE REVIEW ON PROCESS ANALYTICAL TECHNOLOGY

Measurement of essential process parameters that impact critical quality characteristics is at the heart of process analytical technology (PAT), which is used in the design, analysis, and control of pharmaceutical production processes. Physical and Chemical Attribute Testing (PAT) ensures high quality raw materials (i.e. at off-line, on-line, in-line). With PAT, we move away from testing the structures themselves and instead test the goods themselves at various stages of production. PAT drastically reduces the resources needed for product sampling and testing. In order to be effective, PAT must provide instruments such contemporary process analysers or analytical chemistry, endpoint process monitoring and regulating instruments, and continuous improvement and knowledge enhancement instruments. In this review, we've tried to dig into what PAT is, what it's for, what kinds of tools you can use for it, what problems it's meant to solve, how it operates, and what advantages it offers.
Analysis of finite element schemes for convection‐type problems

Various finite element schemes of the Bubnov-Galerkin and Taylor-Galerkin types are analysed to obtain the expressions of truncation errors. This way, dispersion errors in the transient, and diffusion errors both in the transient and in the steady state, are identified. Then, with reference to the transient advection-diffusion equation, stability limits are determined by means of a general von Neumann procedure. Finally, the operational equivalence between Taylor-Galerkin methods, utilized for pseudo-transient calculations, and Petrov-Galerkin methods, derived for the steady state forms of the advection-diffusion equation, is illustrated. Theoretical conclusions are supported by the results of numerical experiments
Investigating community support for sustainable tourism development in small heritage sites in Iran: A grounded theory approach

ABSTRACT Community support is a key factor in the successful implementation of sustainable tourism development plans at heritage sites. This study presents a paradigm model to provide insight into the structure and process of community support for sustainable tourism development (SSTD) in small heritage sites. Using a social constructionist frame and grounded theory approach, the data from semi-structured interviews with 22 participants living in the historic city of Shiraz in Iran – selected through theoretical sampling – were analysed. In this study, for the first time, the dimensions of the core phenomenon of ‘community SSTD’ in small heritage sites were identified. They were categorised into five strategies of demand, emotional support, voluntary promotional activities, economic activities and user activities. Data analysis also revealed six factors of cultural/historical awareness, community attachment, individual characteristics, community perceptions, social factors and the sites’ neighbourhood conditions as factors affecting community SSTD in small heritage sites. Given the scarcity of qualitative studies conducted in the area of sustainable tourism development in small heritage sites, the findings of this study can be used as a basis for strengthening community SSTD in Iran and elsewhere.
Generalized moist potential vorticity and its application in the analysis of atmospheric flows

Potential vorticity (PV) serves as an important dynamic tracer for large-scale motions in the atmosphere and oceans. Significant progress has been made on the understanding and application of PV since the work of Hoskins et al., who introduced an ‘‘IPV thinking" of a dynamical system in a purely dry atmosphere. In particular, there has been a substantial amount of work done on the PV in a general moist atmosphere. In this paper, the generalized moist potential vorticity (GMPV) and its application in the mesoscale meteorological fields are reviewed. The GMPV is derived for a real atmosphere (neither completely dry nor saturated) by introducing a generalized potential temperature instead of the potential temperature or equivalent potential temperature. Such a generalization can depict the moist effect on PV anomaly in the non-uniformly saturated atmosphere. The effect of mass forcing induced by rainfall on the anomaly of GMPV is also reviewed and a new dynamic variable, the convective vorticity vector (CVV), is introduced in connection with GMPV.
An Automatic and Robust Image Mosaic Algorithm

As panorama image mosaic methods proposed by many scholars are completed mostly only under the translation conditions,a method of image mosaic is proposed which is widely suitable in the images that have any correlation in space(including image translation,revolving,zoom and other distortions). The core of the algorithm is using the technology of image morphing to perform the projection reconstruction of the image which has the correlation in space.The process is as follows: first,from the feature points extracted by the Harris operator,the transformation matrix between two images is obtained;then,from this transformation matrix,the technology of image morphing is adopoted,through inverse mapping,to resample and interpolate for the new image;finally,the interpolated image is synthesized with the source image.The experiments show that the method has good mosaic result.
DOCUMENTS DE TREBALL DE LA DIVISIÓ DE CIÈNCIES JURÍDIQUES, ECONÒMIQUES I SOCIALS

We propose an iterative procedure to minimize the sum of squares function which avoids the nonlinear nature of estimating the rst order moving average parameter and provides a closed form of the estimator. The asymptotic properties of the method are discussed and the consistency of the linear least squares estimator is proved for the invertible case. We perform various Monte Carlo experiments in order to compare the sample properties of the linear least squares estimator with its nonlinear counterpart for the conditional and unconditional cases. Some examples are also discussed.
Some special series in ultraspherical polynomials and their approximation properties

Using the explicit form of a limiting ultraspherical series , which was established by us in [1], we consider new, more general, special series in ultraspherical Jacobi polynomials and their approximation properties. We show that as an approximation tool, these series compare favourably with Fourier series in Jacobi polynomials. At the same time, they admit a simple construction, which in important particular cases enables one to use the fast Fourier transform for the numerical realization of their partial sums.
Fusobacterium nucleatum dissemination by neutrophils

ABSTRACT Recent studies uncovered that Fusobacterium nucleatum (Fn), a common, opportunistic bacterium in the oral cavity, is associated with a growing number of systemic diseases, ranging from colon cancer to Alzheimer’s disease. However, the pathological mechanisms responsible for this association are still poorly understood. Here, we leverage recent technological advances to study the interactions between Fn and neutrophils. We show that Fn survives within human neutrophils after phagocytosis. Using in vitro microfluidic devices, we determine that human neutrophils can protect and transport Fn over large distances. Moreover, we validate these observations in vivo by showing that neutrophils disseminate Fn using a zebrafish model. Our data support the emerging hypothesis that bacterial dissemination by neutrophils is a mechanistic link between oral and systemic diseases. Furthermore, our results may ultimately lead to therapeutic approaches that target specific host-bacteria interactions, including the dissemination process.
Per-Pixel Displacement Mapping Using Cone Tracing

The technique of cone tracing, used for rendering v ery detailed surface in real-time, is certainly among the best techniques at the prese nt time. But unfortunately, in its two versions, conservative and relaxed, this technique suffers fr om a heavy pre-processing having a quadratic complexity. Moreover, the processing of non-square textures remains a problem. In this article we introduce a new linear complexity algorithm for gen erating relaxed cone maps. Additionally, we propose to use the Height Distributional Distance T ransform HDDT for creating conservative cone maps. The HDDT is a linear algorithm used in t errain rendering. We also introduce a new method for supporting non-square textures using an elliptical rectification. Finally, we suggest using the cones' radius instead of their ratio. Thi s eliminates the constraint limiting the cones' apex angle to π/4 which significantly improves the performance of the cone tracing technique.
Frailty status determined by an electronic health record embedded frailty index and hospitalization risk among older adults following the initiation of cancer chemotherapy.

12010 Background: Novel strategies are needed to efficiently identify older adults at high risk for hospitalization before and after chemotherapy initiation. An electronic frailty index (eFI) holds promise as a passive digital marker for frailty available to estimate risk at the point of care. The objective of this study was to evaluate the association of pre-treatment eFI with risk of hospitalization after receipt of cancer chemotherapy among older adults. Methods: Consecutive patients (N = 509 aged 65+ with newly diagnosed lung, colorectal or breast cancer treated with chemotherapy) were identified from our cancer registry between 2017 and 2020. Calculation of the eFI is automated in the EMR. It requires at least two ambulatory visits over a 2-year period and utilizes demographic information, vital signs, smoking status, ICD-10 diagnosis codes, select outpatient laboratory measurements, and functional information (if available from Medicare Annual Wellness Visits) during the 2 years prior to diagnosis. Frailty status is categorized as fit (eFI ≤0.10), pre-frail (0.10 < eFI≤0.21), and frail (eFI > 0.21) based on the proportion of deficits present over the total number evaluated (score range 0-1). Non-calculable scores indicate insufficient historical primary care data within two year prior to cancer diagnosis. Outcomes were hospitalization at 3 and 6 months post chemotherapy initiation. Time to first hospitalization was estimated by eFI category, using Cox regression models to estimate the adjusted association between frailty status and hospitalization. Results: The cohort included 509 adults (median age 72.2 yrs, 55% female, 83% white, 13% black, 45.8% stage 4) with lung (N = 312), colorectal (N = 111), and breast (N = 86) cancers. Distribution of eFI categories at diagnosis were fit (26.3%), pre-frail (42.4%), frail (16.3%) and not calculable (14.9%). Hospitalization rates at 3 and 6 months post chemotherapy were 12.0% (fit), 29.9% (pre-frail), 46.3% (frail), 45.9% (not-calculable) and 24.4% (fit), 41.3% (pre-frail), 59.8% (frail) and 49.8% (non-calculable), respectively (p < 0.0001). Adjusting for age, gender, race, stage, and cancer type, the incidence of hospitalization was higher for frail (Hazard Ratio (HR) 2.96, 95% Confidence Interval (CI) 2.05, 4.27), pre-frail (HR 1.41, 95% CI 1.03, 1.94), and not calculable eFI categories (HR 2.01, 95% CI 1.33, 3.03) compared to fit patients. Conclusions: Over forty percent of frail older adults with lung, colorectal, or breast cancer identified by eFI were hospitalized within the first 3 months of chemotherapy initiation. The eFI can inform real-time shared treatment decision-making and identify a sub-set of patients who may benefit from care delivery interventions to decrease unplanned hospitalization and improve quality of care.
Sensible Heat Flux from the Earth's Surface under Natural Convective Conditions.

Abstract A value for the exchange speed of sensible heat CHU under natural convective conditions was determined by both indoor and field experiments. Regardless of the type of experiment, the relationships for the CHU were obtained as CHU = b(TS − T)1/3. For a wet surface, ΔTv should be substituted for (TS − T). Here, TS is the ground surface temperature, T the air temperature, and ΔTv the virtual temperature difference. In addition, b is a coefficient having a value of 0.0011 m s−1 K−1/3 for a smooth surface and 0.0038 m s−1 K−1/3 over a rough surface. From the field observation data, it was concluded that under strongly unstable conditions (−1 > ζ > −477) the best pair of stability profile functions was proposed.
Hard X-Ray Signature of Plasma Ejection in the Galactic Jet Source GRS 1915+105

Since its discovery in 1992, GRS 1915+105 has undergone numerous X-ray outbursts with luminosities ranging from 1037 to a few ×1038 ergs s-1 (20-100 keV). The radio counterpart sometimes exhibits optically thin flares (0.1-1 Jy) in the GHz frequency range associated with superluminal ejection of radio-emitting plasma. Here we examine the temporal and spectral evolution of the hard X-ray and radio emission of GRS 1915+105. We find, during a 1993 December to 1994 April spring outburst, an exceptionally high level of activity in the GHz band coupled with the appearance of several ejection events when compared to other monitoring results. Within the derived uncertainty of the ejection times and the subsequent appearance of radio flares, there appear to be decreases or dips in the hard X-ray flux anticorrelated with increases in radio emission. These observations suggest an interaction between the hard X-ray emission region and jet production, and they imply the redirection of accretion material into jets on timescales of days or less. Although jet production may occur at high accretion rates, other factors must be important, i.e., at times, something must “break” the correlative nature of the radio and X-ray bands. We also search for long-term periodicities in the X-ray data for evidence of a binary signature in light of recent suggestions that GRS 1915+105 may be a high-mass system.
SIMULATION OF SPATIAL CORRELATIVE TIME HISTORIES OF MULTI-POINT GROUND MOTION FOR THE OVERSIZE LIAO BRIDGE

Based on the previous researchers’ results,this paper simulates the spatial correlative time histories of multi-point ground motion for the oversize Liao bridge using the Matlab program.We introduce the coherence function to reflect the coherence of the points in the spatial field,and use the apparent velocity to reflect the wave passage effect.For 4 inputed points,simulate the time histories of ground motion acceleration,and the bias of the calculated spectra and the objective spectra is no more than 5%.
SPECTRAL ENTROPY: AN ALTERNATIVE INDICATOR FOR RATE ALLOCATION?

We introduce an approach to speech segment classification that, differs from l.he usual energy, correlation, and zero-crossing crit,eria. Instead, we measure the gross shape of the short-term speech spectrum using spectral entropy to derive some indication of effective bandwidth. We propose to lower the required encoding rate by compensating for dynamic variations in signal bandwidth. We show that. the spectral entropy can be used effectively t,o determine regions of voicing activity even in extreme background noise.