Miracle-dz/UniFAR-FTUs huggingface dataset:
A Combined Method Of Fractal And GLCM Features For MRI And CT Scan Images Classification

Fractal analysis has been shown to be useful in image processing for characterizing shape and gray-scale complexity. The fractal feature is a compact descriptor used to give a numerical measure of the degree of irregularity of the medical images. This descriptor property does not give ownership of the local image structure. In this paper, we present a combination of this parameter based on Box Counting with GLCM Features. This powerful combination has proved good results especially in classification of medical texture from MRI and CT Scan images of trabecular bone. This method has the potential to improve clinical diagnostics tests for osteoporosis pathologies.
Practical study on real-time hand detection

In this paper we describe algorithms and image features that can be used to construct a real-time hand detector. We present our findings using the Histogram of Oriented Gradients (HOG) features in combination with two variations of the AdaBoost algorithm. First, we compare stump and tree weak classifier. Next, we investigate the influence of a large training database. Furthermore, we compare the performance of HOG against the Haar-like features.
Long-term use and tolerability of irbesartan for control of hypertension

In this review, we discuss the pharmacological and clinical properties of irbesartan, a noncompetitive angiotensin II receptor type 1 antagonist, successfully used for more than a decade in the treatment of essential hypertension. Irbesartan exerts its antihypertensive effect through an inhibitory effect on the pressure response to angiotensin II. Irbesartan 150–300 mg once daily confers a lasting effect over 24 hours, and its antihypertensive efficacy is further enhanced by the coadministration of hydrochlorothiazide. Additionally and partially beyond its blood pressure-lowering effect, irbesartan reduces left ventricular hypertrophy, favors right atrial remodeling in atrial fibrillation, and increases the likelihood of maintenance of sinus rhythm after cardioversion in atrial fibrillation. In addition, the renoprotective effects of irbesartan are well documented in the early and later stages of renal disease in type 2 diabetics. Furthermore, both the therapeutic effectiveness and the placebo-like side effect profile contribute to a high adherence rate to the drug. Currently, irbesartan in monotherapy or combination therapy with hydrochlorothiazide represent a rationale pharmacologic approach for arterial hypertension and early-stage and late-stage diabetic nephropathy in hypertensive type II diabetics.
Historical Biology: an International Journal of Paleobiology How Many Extant Pinniped Species Remain to Be Described? How Many Extant Pinniped Species Remain to Be Described?

This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae, and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand, or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. Large extant marine vertebrates continue to be discovered and described: during the late twentieth and early twenty-first century, several cetaceans and chondrichthyans exceeding three metres in total length have been described, including the megamouth shark, Omura's whale, Bandolero (or Peruvian or Lesser) beaked whale, and Perrin's beaked whale. Statistical methods have been employed by several workers in an effort to estimate the number of such species that remain to be described, and results indicate that between 10 and c. 50 such species remain. Here, we examine the description record of the pinnipeds using non-linear and logistic regression models in an effort to determine how many members of this group might remain undescribed. Regression based on a Michaelis– Menten function suggests that as many as 15 such species remain, whilst logistic regression suggests a far lower number (closer to 0). We combine these approaches with an evaluation of cryptozoological data, as ethnozoological evidence suggests the existence of several large-bodied marine vertebrates that have been interpreted by some authors as unusual pinnipeds. These include the so called 'long-necked sea-serpent', 'merhorse' and 'tizhurek'. Because cryptozoological data are mostly discussed in the 'grey literature', appraisals of these cryptids have never appeared in the mainstream literature, perpetuating a cycle whereby these putative animals remain unevaluated. Introduction Pinnipeds are amphibious carnivorans, represented in the extant fauna by c. 36 species in 18 –21 genera (depending on the favoured taxonomy). These range worldwide, occurring in tropical, temperate and polar seas, in the pelagic realm, in coastal waters, and even in landlocked lakes such as Lake Baikal, Lake Iliamna in Alaska, the Lacs des Loups Marins of northern Quebec, and Lake Saimaa and Lake Ladoga in Fennoscandia. Crown-group pinnipeds have a fossil record extending back to …
Forking in Short and Tame AECs

We develop a notion of forking for Galois-types in the context of AECs. Under the hypotheses that an AEC K is tame, type-short, and failure of an order-property, we consider Definition 1. Let M0 ≺ N be models from K and A be a set. We say that the Gaois-type of A over M does not fork over M0, written A^ M0 N , iff for all small a ∈ A and all small N− ≺ N , we have that Gaois-type of a over N− is realized in M0. Assuming property (E) (see Definition 3.3) we show that this non-forking is a well behaved notion of independence, in particular satisfies symmetry and uniqueness and has a corresponding U-rank. We find conditions for a universal local character, in particular derive superstability-like property from little more than categoricity in a “big cardinal”. Finally, we show that under large cardinal axioms the proofs are simpler and the non-forking is more powerful.
The Modified Splitting Strategy for the Parallel Multisection Algorithm

Based on Cuppen’s divide-and-conquer method [4] and bisection and multisection with the Sturm sequence evaluation coupled with inverse iteration [12, 8, 1], numerous parallel algorithms for solving the eigenvalue problem of real symmetric tridiagonal matrices Tn are presented in the literature [5, 3, 10, 7]. While Cuppen’s divide-and-conquer method achieves the better accuracy results in terms of residual ‖TnX−ΛX‖ and orthogonality ‖X T X−I‖ [7], bisection and multisection achieve the better absolute error results for the eigenvalue evaluation according to the numerical results in [9]. When they are implemented on the distributed-memory hypercube multiprocessor, bisection and multisection coupled with inverse iteration are significantly faster than Cuppen’s method in finding all eigenvalues and eigenvectors of Tn [7]. Furthermore, with bisection and multisection, eigenvalues of Tn can be computed without evaluating eigenvectors. Therefore, when only eigenvalues are required to be computed for Tn, bisection and multisection are the methods of choice. The multisection method is the generalization of the bisection method adopted by some parallel algorithms for the eigenvalue problem of symmetric tridiagonal matrices Tn. For the convenience of exposition, we use Pm and Pb to denote the parallel multisection algorithm and the parallel bisection algorithm respectively in the discussion below. The execution of Pm consists of the two phases, the isolation phase and the extraction phase. In the isolation phase, all processors work together to split the initial interval that contains all eigenvalues of Tn into subintervals such that each subinterval contains only one eigenvalue or one cluster of close eigenvalues of Tn. In the extraction phase, all processors extract eigenvalues from their isolating intervals by recursively performing bisection on the intervals or performing some multisecting operation on the intervals depending on whether those intervals contain one eigenvalue or one cluster of close eigenvalues. When Pm is implemented on the distributed-memory multiprocessor, as shown in [7], a static task scheduling algorithm will be used to allocate subintervals produced by the isolation phase to all processors to achieve the load balance among processors. As shown by the numerical results in [7], when implemented on the distributed-memory hypercube multiprocessor, Pm is slower than Pb in solving eigenvalue problem for the symmetric tridiagonal matrices with the eigenvalue spectra of uniform distribution, especially when the number of processors is large. This fact is attributed to the communicational and computational overhead of Pm’s implementation. However, compared with Pb, Pm has the following advantages. First,
The study on the effect of multi-level exposure technique to fabricate air bearing surface microstructure

Many photolithography and etching steps for a fabrication of an Air Bearing Surface (ABS) structure which is responsible for the aerodynamic behavior of a read/write head make a significant impact to HDDs overall cost. To reduce a cost/time consuming, the ABS can be fabricated by a technique called “multi-level exposure”. This technique focuses on the exposure by changing the UV light intensity after moving the stage to a new position until all positions are completely exposed. The exposed wafer is then developed and etched in a single step to form 3 levels of the ABS structure. The relation between the remaining photoresist (PR) film thickness and the single- and the double-exposure dose can be calculated by using the exponential equations with 95.8% and 91.5% correlation, respectively.
Temporal properties of the short gamma-ray bursts

A temporal analysis has been performed on a sample of 100 bright gamma-ray bursts (GRBs) with T90 2 s. The two sub-classes of GRBs appear to have the same emission mechanism which is probably caused by internal shocks. They may not have the same progenitors because of the generic nature of the reball model.
MRF Model for Detecting Abnormal Activates in Crowded

This paper focus on detecting unusual activities in video. The analysis of motions and behaviours in crowded scenes constitutes a challenging task for traditional computer vision methods. To overcome this disadvantage there are different methods are used to detect the abnormalities in the video. This proposed method shows that a space-time MRF (Markov Random Field) model for detecting abnormal activities like bicycle passing through a crowd. This method not only localizes abnormal activities in crowded scenes, it can also capture the irregular interactions between local activities in a global sense. Histograms of Oriented Gradients (HOG) are used for capture the image from the particular video. The extraction of appearance characteristics in Region Of Interest (ROI) tracked over time using HOG descriptor. The robustness of this method in practical application can be understood by applying it on long surveillance videos.
Variational Bayesian Inference for Partially Observed Diusions

A turbine drive system for operating a vehicle, where the drive system includes a common drive shaft powered by a turbine, and is used for propelling the vehicle and also for operating an air compressor. The air compressor supplies air under pressure which is stored in a pressure tank. The pressurized air operates the turbine which has a vane rotor. A return air flow path is provided from the turbine back to the compressor. By use of a vehicle fan, an air intake is provided to the compressor during forward movement of the vehicle. An auxiliary engine can be included for starting the compressor where the auxiliary engine can also be utilized as an auxiliary drive for the compressor. Additionally, a conventional vehicle engine can be included which operates the same drive shaft and which can work in conjunction with the turbine drive system.
Sampling-based contact-rich motion control

Human motions are the product of internal and external forces, but these forces are very difficult to measure in a general setting. Given a motion capture trajectory, we propose a method to reconstruct its open-loop control and the implicit contact forces. The method employs a strategy based on randomized sampling of the control within user-specified bounds, coupled with forward dynamics simulation. Sampling-based techniques are well suited to this task because of their lack of dependence on derivatives, which are difficult to estimate in contact-rich scenarios. They are also easy to parallelize, which we exploit in our implementation on a compute cluster. We demonstrate reconstruction of a diverse set of captured motions, including walking, running, and contact rich tasks such as rolls and kip-up jumps. We further show how the method can be applied to physically based motion transformation and retargeting, physically plausible motion variations, and reference-trajectory-free idling motions. Alongside the successes, we point out a number of limitations and directions for future work.
Contact, Disclosure, Stereotypes, and Attitudes Toward People with Physical Disabilities: The Mediator Effects of Intergroup Anxiety and Social Support

Guided by intergroup contact theory (Allport, 1954; Pettigrew, 1998), the current study examined the influences of perceptions of individuals without disabilities (N = 189) regarding their communication experiences with the most frequent contact with an invisible physical disability on willingness to communicate with, stereotypes, and attitudes toward people with physical disabilities as a group. In addition, the current study tested the mediator effects of social support (Hypothesized Model 1) and intergroup communication anxiety (Hypothesized Model 2). Using Hayes’ (2013) PROCESS for SPSS, mediation analysis of model 1 showed that spontaneous and protective disclosure, communication frequency and quality all had a significant indirect effect through social support on willingness to interact, intergroup attitudes, and endorsement of stereotypes toward people with disabilities. Testing of the second model revealed that intergroup communication anxiety was a significant mediator between communication quality and all dependent measures. In both models, spontaneous disclosure and communication quality had a significant positive direct association with willingness to interact and a negative association with stereotypes, respectively. Furthermore, results revealed that communication quality had a significant positive direct effect on willingness to communicate in model 1 and communication frequency had a significant positive direct effect on both affective and behavioral attitudes in model 2. In addition to contact frequency and quality, this study is unique in terms of including communicative measures of contact and social support as a positive mediator in examining intergroup perceptions. Implications of the findings are discussed with respect to prior literature on interability communication (i.e., disability as an intergroup marker), and intergroup contact theory.
Automatic script identification in the wild

With the rapid increase of transnational communication and cooperation, people frequently encounter multilingual scenarios in various situations. In this paper, we are concerned with a relatively new problem: script identification at word or line levels in natural scenes. A large-scale dataset with a great quantity of natural images and 10 types of widely-used languages is constructed and released. In allusion to the challenges in script identification in real-world scenarios, a deep learning based algorithm is proposed. The experiments on the proposed dataset demonstrate that our algorithm achieves superior performance, compared with conventional image classification or script identification methods, including as the original CNN architecture, LLC and GLCM.
An Infrared Pedestrians Image Segmentation Algorithm

In order to address the problem that the pedestrian segmentation in infrared image is easy to be interfered by the human pose and noise, this paper presents a pedestrian segmentation algorithm in infrared images employing super pixel and conditional random filed. Owing to accelerate the computation, the algorithm employs the simple linear iterative clustering algorithm to divide the image into some super pixels firstly. So as to represent the posterior of a distribution of the image, CRF model is applied to depict the configuration of super pixels in image. Finally we select the label in all of the possible states as the new label which has the minimum energy value in CRF model.
Implementation of the Keccak Hash Function in FPGA Devices

Implementation setup The Keccak hardware reference designs consists of two rather different implementations. the high_speed_core design is, as the name suggest, a self contained high performance design. The low_area_copro on the other hand, is a small design where the state memory is external from the rest of the design. This allows the Keccak coprocessor to share memory with other design entities within a device.
Three Measures of Forest Fire Smoke Exposure and Their Associations with Respiratory and Cardiovascular Health Outcomes in a Population-Based Cohort

Background: During the summer of 2003 numerous fires burned in British Columbia, Canada. Objectives: We examined the associations between respiratory and cardiovascular physician visits and hospital admissions, and three measures of smoke exposure over a 92-day study period (1 July to 30 September 2003). Methods: A population-based cohort of 281,711 residents was identified from administrative data. Spatially specific daily exposure estimates were assigned to each subject based on total measurements of particulate matter (PM) ≤ 10 μm in aerodynamic diameter (PM10) from six regulatory tapered element oscillating microbalance (TEOM) air quality monitors, smoke-related PM10 from a CALPUFF dispersion model run for the study, and a SMOKE exposure metric for plumes visible in satellite images. Logistic regression with repeated measures was used to estimate associations with each outcome. Results: The mean (± SD) exposure based on TEOM-measured PM10 was 29 ± 31 μg/m3, with an interquartile range of 14–31 μg/m3. Correlations between the TEOM, smoke, and CALPUFF metrics were moderate (0.37–0.76). Odds ratios (ORs) for a 30-μg/m3 increase in TEOM-based PM10 were 1.05 [95% confidence interval (CI), 1.03–1.06] for all respiratory physician visits, 1.16 (95% CI, 1.09–1.23) for asthma-specific visits, and 1.15 (95% CI, 1.00–1.29) for respiratory hospital admissions. Associations with cardiovascular outcomes were largely null. Conclusions: Overall we found that increases in TEOM-measured PM10 were associated with increased odds of respiratory physician visits and hospital admissions, but not with cardiovascular health outcomes. Results indicating effects of fire smoke on respiratory outcomes are consistent with previous studies, as are the null results for cardiovascular outcomes. Some agreement between TEOM and the other metrics suggests that exposure assessment tools that are independent of air quality monitoring may be useful with further refinement.
Spectral Overlap in Songs and Temporal Avoidance in a Peruvian Bird Assemblage

Sound is the preferred mode of communication for many animals. Insects, frogs, birds and mammals are all well known for their acoustic signals through which they attract mates or repel rivals (Rogers & Kaplan 2000; Gerhardt & Huber 2002; Marler & Slabbekoorn 2004). The prevalence of vocalizations in this context of sexual selection is understandable: signal efficiency is closely linked to individual fitness and transfer of information through sound works well in many habitats, including those with low visibility. However, interference among signals may become a major drawback as many different species have evolved this same acoustic strategy. The ultimate competition for acoustic space is undoubtedly found in the tropical rainforests around the world, characterized on the one hand by dense vegetation and low-light intensities and on the other hand by extreme biodiversity across taxa, among which there are many vocal species (e.g. Ryan & Brenowitz 1985; Narins 1995; Sueur 2002; Slabbekoorn 2004a, b). Ambient noise produced by the local animal community will negatively affect detection and recognition of acoustic signals, in addition to the impact of abiotic noise sources (Klump 1996). Masking of critically important messages has led to the evolution of an array of counterstrategies by varying the makeup of sound structures, the timing of signaling and the potential to extract signals from a noisy Correspondence Robert Planqué, Department of Mathematics, VU University of Amsterdam, De Boelelaan 1081 HV Amsterdam, The Netherlands. E-mail: rplanque@few.vu. nl
Revolution: Automatic Evolution of Mined Specifications

Specifications mined from execution traces are largely used to support testing and analysis of software applications with little runtime variability. However, when models are mined from applications that evolve at runtime, the resulting models become quickly obsolete, and thus of little support for any testing and analysis activity. To cope with such systems, mined specifications must be consistently updated every time the software changes. In principle, models can be periodically mined from scratch, but in many cases this solution is too expensive or even impossible. In this paper we describe Revolution, an approach for the automatic evolution of specifications mined by applying state abstraction techniques. Revolution produces models that are continuously updated and thus remain aligned with the actual implementation. Empirical results show that Revolution can suitably address run-time evolving applications.
EF − FE =

Let Uq(sl2) be the quantized enveloping algebra associated to the simple Lie algebra sl2. In this paper, we study the quantum double Dq of the Borel subalgebra Uq((sl2) ) of Uq(sl2). We construct an analogue of Kostant–Lusztig Z[v, v]-form for Dq and show that it is a Hopf subalgebra. We prove that, over an algebraically closed field, every simple Dq-module is the pullback of a simple Uq(sl2)-module through certain surjection from Dq onto Uq(sl2), and the category of finite dimensional weight Dq-modules is equivalent to a direct sum of |k| copies of the category of finite dimensional weight Uq(sl2)-modules. As an application, we recover (in a conceptual way) Chen’s results [2] as well as Radford’s results [20] on the quantum double of Taft algebra. Our main results allow a direct generalization to the quantum double of the Borel subalgebra of the quantized enveloping algebra associated to arbitrary Cartan matrix.
Interior C 2 , α regularity theory for a class of nonconvex fully nonlinear elliptic equations

We prove the interior C regularity of solutions for some nonconvex fully nonlinear elliptic equations F (Du, x) = f(x), x ∈ B1 ⊂ R. Our hypothesis is that, for every x ∈ B1, F (·, x) is the minimum of a concave operator and a convex operator of Du. This extends the Evans– Krylov theory for convex equations to some nonconvex operators of Isaacs type. For instance, our results apply to the 3–operator equation F3(D u) = min{L1u,max{L2u, L3u}} = 0 (here Li are linear operators), which motivated the present work.