Miracle-dz/UniFAR-FTUs huggingface dataset:
Arterial embolism occurring during systemic heparin therapy.

Heparin is a widely used and valuable agent in the management of many thrombotic disorders involving both the arterial and the venous system. Although it is the oldest of the modern anticoagulant drugs, its mode of action and specific effect on the clotting mechanism in vivo have not yet been clearly defined. 1 It is, however, a potent and effective agent and possesses certain distinct advantages over the coumarin drugs when used in combination with surgical treatment. Its rapid action and prompt neutralization by protamine are desirable qualities in many circumstances. Except for the rare instances of allergic reactions, complications or adverse effects reported from the use of heparin have been due to hemorrhage. Recently we have been using heparin more frequently as the anticoagulant of choice in the treatment of acute thromboembolic disorders or in conjunction with direct surgery on the arteries and veins. There has been a coincident
Production of Methyl Ketones from Secondary Alcohols by Cell Suspensions of C2 to C4n-Alkane-Grown Bacteria

Nineteen new C2 to C4n-alkane-grown cultures were isolated from lake water from Warinanco Park, Linden, N.J., and from lake and soil samples from Bayway Refinery, Linden, N.J. Fifteen known liquid alkane-utilizing cultures were also found to be able to grow on C2 to C4n-alkanes. Cell suspensions of these C2 to C4n-alkane-grown bacteria oxidized 2-alcohols (2-propanol, 2-butanol, 2-pentanol, and 2-hexanol) to their corresponding methyl ketones. The product methyl ketones accumulated extracellularly. Cells grown on 1-propanol or 2-propanol oxidized both primary and secondary alcohols. In addition, the activity for production of methyl ketones from secondary alcohols was found in cells grown on either alkanes, alcohols, or alkylamines, indicating that the enzyme(s) responsible for this reaction is constitutive. The optimum conditions for in vivo methyl ketone formation from secondary alcohols were compared among selected strains: Brevibacterium sp. strain CRL56, Nocardia paraffinica ATCC 21198, and Pseudomonas fluorescens NRRL B-1244. The rates for the oxidation of secondary alcohols were linear for the first 3 h of incubation. Among secondary alcohols, 2-propanol and 2-butanol were oxidized at the highest rate. A pH around 8.0 to 9.0 was found to be the optimum for acetone or 2-butanone formation from 2-alcohols. The temperature optimum for the production of acetone or 2-butanone from 2-propanol or 2-butanol was rather high at 60°C, indicating that the enzyme involved in the reaction is relatively thermally stable. Metal-chelating agents inhibit the production of methyl ketones, suggesting the involvement of a metal(s) in the oxidation of secondary alcohols. Secondary alcohol dehydrogenase activity was found in the cell-free soluble fraction; this activity requires a cofactor, specifically NAD. Propane monooxygenase activity was also found in the cell-free soluble fraction. It is a nonspecific enzyme catalyzing both terminal and subterminal oxidation of n-alkanes.
Spatio-temporal Keypoints for Video-Based Face Recognition

A new approach for video-based face recognition is presented in this paper. The proposed technique is based on the use of key points and related descriptors for image representation. In particular this work introduces a general approach to extend to the temporal dimension the analysis usually carried out on single images, with the aim of deriving a more stable and compact representation of video information. The algorithm, which can easily be coupled with different techniques for key point extraction and representation, has been designed taking into account two fundamental requirements in this application scenario: recognition accuracy and efficiency of the matching process. The extensive experiments carried out on public datasets using a specific implementation based on SURF demonstrate the validity of the proposed technique.
Assessing Quality of Consumer Reviews in Mobile Application Markets: A Principal Component Analysis Approach

This study presents a simple, theory-based method for calculating a metric which reflects the quality of online consumer reviews in mobile application markets. Derived from prior online consumer review studies based on psychology, information quality, and economics literature, a metric for measuring online consumer review quality is developed. The metric is a weighted sum of three variables (Squared Star Rating, Log-transformed Word Count, and Sum of Squared Negative and Positive Sentiment), and weights for calculating the metric are estimated by using Principal Component Analysis (PCA) technique. Preliminary assessment of the proposed method shows that metrics computed by using the proposed method are positively correlated with helpfulness ranks of mobile application reviews in Google Play. However, PCA results show that one of the variables (i.e., sentiment) used for developing the metric did not load consistently on the first factor component. From the findings of the preliminary evaluation on the metric, limitations and future research directions of the proposed method are discussed.
Data reduction in flash method thermography

An infrared thermography equipment is used to measure the temperature rise at the rear surface of a sample submitted to the pulse irradiation of a flash source, in order to derive simultaneously two thermal properties of the sample. The Levemberg Marquadt technique is used to match the experimental data to the analytical model. Care is taken to tune sample features and the experimental set-up. Since the acquisition time revealed to be a critical parameter, its influence on the final results is investigated too. 1. Introduction The flash method is extensively used for measuring the solids thermal diffusivity. The method essentially consists in measuring the surface temperature rise of a thin cylindrical specimen when the other face is radiated by energy pulse. The experimental data compared with the predictions of the theoretical model allow to determine the thermal diffusivity. In origin the method foresaw the use of one or few points of the temperature-time curve, [1]. Actually, the amount of experimental data can be very large, e.g. thermographic systems are available with a scan rate of 50Hz. Following the idea of the flash method, different models and data reduction techniques have been proposed, [2-8]. The data reduction method seems to play a significant role in the determination of the thermal diffusivity, in particular the non-linear  2 fit based on the Levemberg Marquadt technique is shown to lead to the most precise results, [9]. In this work, using the above mentioned fitting technique, the simultaneous identification of the thermophysical properties, i.e. thermal diffusivity and conductivity, by the classical rear-face flash method is attempted. Particular care was taken about the choice of a proper acquisition time by simulating thermograms with Montecarlo tecnique. The influence of sample features on the results is analysed taking into account infrared thermography equipment features. Finally, in order to validate both the experimental procedure and the identification routine, first tests were carried out on certified Teflon samples. 2. Basic equations and analytical solution The identification of the thermophysical properties from the temperature-time profiles needs a model for the heat diffusion: a thin sample subjected to a flash heating and cooled on both faces by radiative-convective heat transfer is considered. The energy balance equation and the related boundary conditions can be written in dimensionless form as:  * ; * ; (1)
Development of laser waveform digitization for airborne LIDAR topographic mapping instrumentation

Airborne lidar (Light Detection and Ranging) topographic mapping has been the recent focus of both the research and commercial sectors in generation of high resolution surface models. While conventional airborne lidar systems that record the laser range and backscatter intensity information have made a revolutionary impact on three-dimensional imaging of the earth's surface, full waveform digitization potentially provides excellent opportunities, both for improved mapping and new applications. Operating simultaneously with a conventional lidar system, a new module developed jointly by Optech, Inc. of Toronto, Canada, and the University of Texas at Austin records the analog waveform of the laser pulse and converts the samples to digital measurements. This paper focuses on discussion of the preliminary processing methodology and comparison of the information extracted from the conventional first/last return data and the waveform digitizer over several targets, including a residential area, conifer and hardwoods forest, and an airport runway. Additional information including surface roughness, terrain slope, canopy structure, and light transmittance through vegetation can be derived from the waveforms. Characterization of the canopy structure through waveform digitization can yield information such as fraction of photosynthetic active radiation (fPAR.) commonly used in ecosystem modeling.
ANTICIPATING LAND USE CHANGE USING GEOGRAPHICALLY WEIGHTED REGRESSION MODELS FOR DISCRETE RESPONSE

Geographically weighted regression (GWR) enjoys wide application in regional science, thanks to its relatively straightforward formulation and explicit treatment of spatial effects. However, its application to discrete-response data sets and land use change at the level of urban parcels has remained a novelty. This work combines logit specifications with GWR techniques to anticipate five categories of land use change in Austin, Texas while controlling for parcel geometry, slope, regional accessibility, local population density, and distances to Austin’s downtown and various roadway types. Results of this multinomial logit GWR model suggest spatial variations in – and significant influence – of these covariates, especially roadway vicinity and regional access. For example, a one-percent increase in the distance on an undeveloped parcel’s distance to its nearest freeway is estimated, on average, to increase the probability of residential development by 1.2%, while the same increase in distance to a major arterial is estimated to increase the probability by 1.8%. Conversely, proximity of roads (via reductions in such distances) is estimated to boost the likelihood of non-residential development (9.0% in the case of commercial development, for simply a 1% decrease in distance to such arterials. The logsum accessibility index is estimated to exert an average positive influence on commercial, office and industrial development tendencies, while dampening land use transitions from an undeveloped state to residential uses. Comparisons of results with a spatial autoregressive binary probit (using all developed land use categories as a single response) and GWR binary probit also provide some insights, with the latter seeming to surpass the former in accounting for spatial effects, as reflected by a lower AIC value. Yiyi Wang Graduate Student Researcher Department of Civil, Architectural & Environmental Engineering The University of Texas at Austin 512-466-8693 yiyiwang@mail.utexas. edu
Boundary controllability for the semilinear Schrödinger equation

We study the boundary exact controllability for the semilinear Schrödinger equation defined on an open, bounded, connected set Ω of a complete, n-dimensional, Riemannian manifold M with metric g. We prove the local exact controllability around the equilibria under some checkable geometrical conditions. Our results show that exact controllability is geometrical characters of a Riemannian metric, given by the coefficients and equilibria of the semilinear Schrödinger equation. We then establish the globally exact controllability in such a way that the state of the semilinear Schrödinger equation moves from an equilibrium in one location to an equilibrium in another location.
Latex Particle Size Distribution by Dynamic Light Scattering: Computer Evaluation of Two Alternative Calculation Paths.

Two calculation paths for estimating the particle size distribution (PSD) of a polymer latex from single-angle dynamic light scattering (DLS) measurements are evaluated on the basis of a numerical example. In the more common "double-step method," two calculation steps are applied, with the intermediate estimation of the particle light intensity distribution (PLID). In the "single-step method," the calculation is performed in one operation. From the specification of several PSDs, a mathematical model is used to produce the synthetic measurements. An iterative procedure was applied for determining the diameter range and the number of PSD points. The inversion operations were carried out using a regularization technique. For narrow distributions with diameters in the range 100-1000 nm, the PSD and the PLID are similar in shape, and both calculation paths produce similar results. For broad PSDs in the range 100-1000 nm, and for arbitrary PSDs in the range 10-100 nm (i.e., in the Rayleigh region), the single-step method proved preferable. Copyright 2000 Academic Press.
Rapid visual learning in the rat: Effects at the 5-HT 1a receptor subtype

The 5-hydroxytryptamine1a (5-HT1a) receptor agonist 8-hydroxy-2-(di-n-propylamino) tetralin (8-OH-DPAT; 0.15 mg/kg) impaired rats’ rapid visual learning on a computerized maze. This treatment also increased decision time (DT) but the learning impairment was not necessarily a side-effect of slower responding because, in this task, responses made at long DT are more accurate than those at short DT. The selective 5-HT1a receptor antagonist WAY-100635 (0.3 mg/kg) was itself without effect on accuracy, but was effective in reversing effects of 8-OH-DPAT (on both accuracy and DT). Within problems (i.e., over the 40-60 trials of a single discrimination), performance was reduced by treatment with 8-OH-DPAT at all stages of learning. We conclude that this effect is mediated through the 5-HT1a receptor site (rather than through some other serotonergic receptor site or non-specific mechanism) as it was reversible by treatment with WAY-100635. Although it could still arise from behaviourally non-specific effects, the performance deficit finds its best account in terms of the psychological processes necessary to visual learning. Its reversal with WAY-100635 offers support to the hypothesis that 5-HT1a receptor antagonists could improve cognitive function, under conditions of pre-existing impairment due to overactive serotonergic inhibition, as is thought to occur in Alzheimer's disease.
Pivotal role of a DEVD‐sensitive step in etoposide‐induced and Fas‐mediated apoptotic pathways.

We investigated the role of proteases in the pathway that leads from specific DNA damage induced by etoposide (VP‐16), a topoisomerase II inhibitor, to apoptotic DNA fragmentation in the U937 human leukemic cell line. In a reconstituted cell‐free system, Triton‐soluble extracts from VP‐16‐treated cells induced internucleosomal DNA fragmentation in nuclei from untreated cells. This effect was inhibited by the tetrapeptide Ac‐DEVD‐CHO, a competitive inhibitor of the interleukin‐1 beta‐converting enzyme (ICE)‐related protease CPP32, but was not influenced by Ac‐YVAD‐CHO and Ac‐YVAD‐CMK, two specific inhibitors of ICE. The three tetrapeptides inhibited Fas‐mediated apoptotic DNA fragmentation in the cell‐free system. Internucleosomal DNA fragmentation, triggered by either VP‐16 or an anti‐Fas antibody, was associated with proteolytic cleavage of the poly(ADP‐ribose)polymerase (PARP), a decrease in the level of 32 kDa CPP32 proenzyme and the appearance of the CPP32 p17 active subunit. Conversely, the expression of Ich‐1L, another ICE‐like protease, remained stable in apoptotic U937 cells. Several cysteine and serine protease inhibitors prevented apoptotic DNA fragmentation by acting either upstream or downstream of the DEVD‐sensitive protease(s) activation and PARP cleavage. We conclude that a DEVD‐sensitive step, which could involve CPP32, plays a central role in the proteolytic pathway that mediates apoptotic DNA fragmentation in VP‐16‐treated leukemic cells at the crossing with Fas‐mediated pathway.
Signaling and Regulation Cytokine Induction of Tumor Necrosis Factor Receptor 2 Is Mediated by STAT 3 in Colon Cancer Cells

The IL-6/STAT3 and TNFa/NFkB pathways are emerging as critical mediators of inflammation-associated colon cancer. TNF receptor (TNFR) 2 expression is increased in inflammatory bowel diseases, the azoxymethane/ dextran sodium sulfate (AOM/DSS) model of colitis-associated cancer, and by combined interleukin (IL) 6 and TNFa. Themolecular mechanisms that regulate TNFR2 remain undefined. This study used colon cancer cell lines to test the hypothesis that IL-6 and TNFa induce TNFR2 via STAT3 and/or NFkB. Basal and IL-6 þ TNFa– induced TNFR2 were decreased by pharmacologic STAT3 inhibition. NFkB inhibition had little effect on IL-6þ TNFa–induced TNFR2, but did inhibit induction of endogenous IL-6 and TNFR2 in cells treated with TNFa alone. Chromatin immunoprecipitation (ChIP) revealed cooperative effects of IL-6 þ TNFa to induce STAT3 binding to a 1,578 STAT response element in theTNFR2 promoter but no effect onNFkB binding to consensus sites. Constitutively active STAT3 was sufficient to induce TNFR2 expression. Overexpression of SOCS3, a cytokine-inducible STAT3 inhibitor, which reduces tumorigenesis in preclinical models of colitis-associated cancer, decreased cytokine-induced TNFR2 expression and STAT3 binding to the 1,578 STAT response element. SOCS3 overexpression also decreased proliferation of colon cancer cells and dramatically decreased anchorage-independent growth of colon cancer cells, even cells overexpressing TNFR2. Collectively, these studies show that IL-6and TNFa-induced TNFR2 expression in colon cancer cells is mediated primarily by STAT3 and provide evidence that TNFR2 may contribute to the tumor-promoting roles of STAT3. Mol Cancer Res; 1–14.
What Is the Attraction? Pornography Use Motives in Relation to Bystander Intervention

Use of pornography is common among adolescents and young adults, with most men and a growing number of women viewing regularly. A vast body of research suggests pornography use is associated with multiple attitudinal and behavioral variables. One of those associations, for both men and women, is higher pornography use is correlated with a lower likelihood of intervening to prevent sexual assault. The present study explored how motives for viewing pornography related to male (n = 139) and female (n = 290) college students’ willingness and efficacy to intervene to help prevent a sexual assault from occurring. We found that several motivations to view pornography were associated with suppression of willingness to intervene as a bystander, even after controlling for frequency of pornography use. This study joins others in suggesting an association between pornography use and callousness toward sexual violence.
Adiabatic localized correlation spectroscopy (AL‐COSY): Application in muscle and brain

To describe an enhanced version of a localized correlation spectroscopy (L‐COSY) by introducing adiabatic radiofrequency (RF) pulses for localization in two dimensions. Adiabatic pulses will improve slice selection profile and reduce chemical shift artifacts. Optimized Mao and adiabatic hyperbolic secant pulses are tested in vivo.
Design and characterization of an integrate-and-fire neural recording system

A neuronal recording system for brain-machine interfaces (BMI) based on asynchronous biphasic pulse coding is described. A recording experiment comparing, in parallel, a commercial recording system (Tucker-Davis Technology) and the UF's custom solution (FWIRE) is set up to compare performance. The novel aspect of the UF system is that the analog signal is represented by an asynchronous pulse train, which provides a low-power, low-bandwidth, noise-resistant means for coding and transmission. Based on different front-end hardware settings, recording bandwidth and corresponding reconstruction accuracy can be varied. Taking advantage of neural firing features, the pulse-based approach requires less than 3 K pulses/second to record a 25 KHz bandwidth signal from a hardware neural simulator. Recording performance has been characterized in the back-end signal processing with the spike sorting method. Two different spike sorting methods are proposed depending on different recording bandwidth constraints.
Research on database ciphertext retrieval based on homomorphic encryption

This paper proposes a secure retrieval scheme based on homomorphic encryption for the server-side structured database. With the advantage of this scheme, ciphertext in server under unreliable storage circumstance can be efficiently retrieved without exposition of plaintext. Users can also have detailed access to their data. In this paper, a data encryption and decryption algorithm based on homomorphic encryption is proposed for character data in database. Server can calculate and operate the ciphertext data directly. An equivalent retrieval algorithm based on homomorphic encryption is proposed for equivalent retrieval of ciphertext data, which can effectively reduce the amount of data returned to the client and improve the retrieval efficiency. A counting joint index generation algorithm with upper limit based on dual encoding function is proposed for fuzzy retrieve of character data which can improve the efficiency of the server's filtering of the irrelevant data and reduce the waste of time and space.
Which 3D geometric facial features give up your identity?

The 3D face recognition literature has many papers that represent facial shapes as collections of curves of different kinds (level-curves, iso-level curves, radial curves, profiles, geodesic polarization, iso-depth lines, iso-stripes, etc.). In contrast with the holistic approaches, the approaches that match faces based on whole surfaces, the curve-based parametrization allows local analysis of facial shapes. This, in turn, facilitates handling of pose variations (probe image may correspond to a part of the face) or missing data (probe image is altered by occlusions. An important question is: Does the use of full set of curves leads to better performances? Among all facial curves, are there ones that are more relevant than others for the recognition task? We explicitly address these questions in this paper. We represent facial surfaces by collections of radial curves and iso-level curves, such that shapes of corresponding curves are compared using a Riemmannian framework, select the most discriminative curves (geometric features) using boosting. The experiment involving FRGCv2 dataset demonstrates the effectiveness of this feature selection by achieving 98.02% as rank-1 recognition rate. This selection also results in a more compact signature which significantly reduces the computational cost and the storage requirements for the face recognition system.