Miracle-dz/UniFAR-FTUs huggingface dataset:
Mechanical and EMG responses of the vastus lateralis and changes in biochemical variables to isokinetic exercise in endurance and power athletes

Abstract Twelve endurance athletes and six power athletes performed fatiguing isokinetic knee flexions/extensions. Isokinetic torque was recorded during the exercise. Isometric torque, cortisol and lactate responses, electromyographic (EMG) mean power frequency, average rectified value, and conduction velocity were analysed before and after the isokinetic exercise to determine correlations between electrophysiological variables and mechanical performances and/or blood concentrations of biomarkers in the two groups of athletes. The EMG variables were estimated from signals recorded from the vastus lateralis in both voluntary and electrically elicited isometric contractions. Power athletes recorded higher values than endurance athletes for the following variables: pre-exercise isometric maximal voluntary contraction (MVC), isokinetic MVC, rate of mechanical fatigue during isokinetic contractions, pre – post exercise variations and recovery times of conduction velocity and mean power frequency, and lactate concentrations. Moreover, conduction velocity overshooting was observed in endurance athletes during the recovery phase after exercise. The correlation analyses showed that the higher the rate of mechanical fatigue, the higher the lactate production and the reduction in conduction velocity due to the exercise.
Usability evaluation of SatNav application onmobile phone using mGQM

SatNav systems are becoming increasingly popular, enabling drivers to locate and drive to their desired destination.With high demand for the features SatNav provides, these applications are now also available in mobile phones.This gives rise to the question of whether the app is usable when installed in a mobile phone.This paper will examine the usability of SatNav apps inside the mobile phone.We employ a mobile Goal Question Metric model (mGQM) to evaluate the usability of such applications by implementing usability test for objective measures, and questionnaire and interviews to assess subjective measures.Results indicate that most usability problems on SatNav apps in mobile are influenced by unique features of the mobile phone.
An approach of malicious executables detection on black & gray based on adaboost algorithm

Behavioral analysis refers to the technique of deciding whether an application is malicious or not, according to what it does. With behavioral analysis research on executables evolving, it is difficult to classify malicious applications and some legal applications called dasiagray applicationpsila, which are classified as malicious sample by dasiaweakpsila learners. In theory, boosting can be used to significantly reduce the error of dasiaweakpsila learning algorithm that consistently generates classifiers which need only be a little bit better than random guessing. This paper presents an approach based on a new boosting algorithm called AdaBoost, which improves the performance of any dasiaweakpsila learning algorithm. Experiment results show that the method has good classification accuracy in experiment data sets.
Exploring GIS, spatial statistics and remote sensing for risk assessment of vector-borne diseases: a West Nile virus example

Vector-borne diseases pose a continuing health risk to the global population. In the United States, the spread of West Niles virus (WNV) in the past several years across the country has been alarming. Using WNV as an example, this paper demonstrates how geographic information science (GIScience) and attendant technologies in remote sensing, geographic information systems (GIS), and spatial statistics, can be used for the surveillance and control of disease vectors in general, and specifically mosquitoes in the case of WNV. Data supporting the analyses consist of local field surveillance data, population demographic data, and remote sensing data for habitat characterisation and environmental conditions affecting mosquito vector breeding. The results of this paper provide evidence that these technologies, integrated in scientific methods, provide valuable information to formulate risk management policies and actions.
Physiologic Responses of Sheep to Two Different Methods of Papain Exposure

Human emphysema is a progressive, destructive lung disease that produces morphologic and functional heterogeneity throughout its course. Consequently, the mature form of the disease is described by a broad range of anatomic, radiological, and physiologic patterns. This report describes the development and characterization of a sheep model of emphysema that represents many of the essential features of both homogeneous and heterogeneous emphysema. Emphysema was produced by two different techniques of papain exposure: (1) aerosol (75 IU/kg) given weekly for 4 treatments (HM) or (2) aerosol (75 IU/kg) weekly for 3 treatments following subsegmental intrabronchial instillations, 75 IU (in 10 saline) per lobe in 6 lobes (HT). Dexamethasone (0.06 mg/kg iv) was administered prior intrabronchial instillations only. On computed tomography, the HM group had homogeneous emphysema, the HT group gross nonuniformity of disease and bullae formation. Both groups demonstrated a significant (p < .05) increase in residual volume (HM, +38%; HT, +30%). There was a significant increase (p = .002) in total lung capacity per kilogram for the HM group. Emphysema had no effect on active or passive chest wall compliances. Diffusion capacity was significantly (p < .05) reduced in both groups. Both elastic (p = .066) and resistive (p = .025) components of impedance were increased in the HT, and airway resistance increased significantly in the HM groups. The HM model demonstrated gas trapping, a characteristic feature of emphysema, but failed to replicate the alterations in lung dynamics observed in the human form of this disease. The HT model demonstrated less static hyperinflation but significant frequency dependence and hence appeared to better represent the dynamic characteristics of human emphysema.
Carbon and Strontium Abundances of Metal-poor Stars

We present carbon and strontium abundances for 100 metal-poor stars measured from R ~ 7000 spectra obtained with the Echellette Spectrograph and Imager at the Keck Observatory. Using spectral synthesis of the G-band region, we have derived carbon abundances for stars ranging from [Fe/H] = -1.3 to [Fe/H] = -3.8. The formal errors are ~0.2 dex in [C/Fe]. The strontium abundance in these stars was measured using spectral synthesis of the resonance line at 4215 Å. Using these two abundance measurements along with the barium abundances from our previous study of these stars, we show that it is possible to identify neutron-capture-rich stars with our spectra. We find, as in other studies, a large scatter in [C/Fe] below [Fe/H] = -2. Of the stars with [Fe/H] < -2, 9% ± 4% can be classified as carbon-rich metal-poor stars. The Sr and Ba abundances show that three of the carbon-rich stars are neutron-capture-rich, while two have normal barium and strontium. This fraction of carbon enhanced stars is consistent with other studies that include this metallicity range.
Complexity of Ising Polynomials

This paper deals with the partition function of the Ising model from statistical mechanics, which is used to study phase transitions in physical systems. A special case of interest is that of the Ising model with constant energies and external field. One may consider such an Ising system as a simple graph together with vertex and edge weights. When these weights are considered indeterminates, the partition function for the constant case is a trivariate polynomial Z(G;x,y,z). This polynomial was studied with respect to its approximability by Goldberg, Jerrum and Paterson. Z(G;x,y,z) generalizes a bivariate polynomial Z(G;t,y), which was studied in by Andrén and Markström. We consider the complexity of Z(Gt,y) and Z(G;x,y,z) in comparison to that of the Tutte polynomial, which is well known to be closely related to the Potts model in the absence of an external field. We show that Z(G;x,y,z) is #P-hard to evaluate at all points in 3, except those in an exceptional set of low dimension, even when restricted to simple graphs which are bipartite and planar. A counting version of the Exponential Time Hypothesis, #ETH, was introduced by Dell, Husfeldt and Wahlén in order to study the complexity of the Tutte polynomial. In analogy to their results, we give under #ETH a dichotomy theorem stating that evaluations of Z(G;t,y) either take exponential time in the number of vertices of G to compute, or can be done in polynomial time. Finally, we give an algorithm for computing Z(G;x,y,z) in polynomial time on graphs of bounded clique-width, which is not known in the case of the Tutte polynomial.
Multi Layer Sector Operators for Image Gradient Estimation

A series of multi layer sector operators are presented for image gradient estimation in edge detection. Replacing the gradient estimation method in canny operator by the multi layer sector operators, a novel edge detection method is obtained, which is more robust to noise and has more accurate edge localization, especially when a corner or a cross exists. Both synthetic and natural images validate our methods.
PENGARUH PENDAPATAN PER KAPITA, ECONOMIC GROWTH RATE, ECONOMIC STRUCTURE, DAN TAX RATE TERHADAP TAX RATIO PADA NEGARA-NEGARA OECD DAN INDONESIA

The purpose of this study to identify and obtain evidence about the influence perkpita income, economic growth rate, economic structure, and the tax rate of the tax ratio in the OECD countries and Indonesia. Type of research is the use of quantitative data, the research is based on the measurement results in the form of numerical data. Sources used in research is secondary data. Methods of data collection in this study is to collect data by the method of documentation. The sampling technique used in this study was purposive sampling, the sampling technique with specific considerations. Because of the limitations of the data of the whole country, then the sample is taken the countries belonging to the OECD, including Indonesia. Based on statistical tests were performed, the results obtained are in the classical assumption test it can be concluded that the regression model has qualified the assumptions of normality, free from the problem of multicollinearity, heteroscedasticity, auto correlation. The overall effect of independent variables on the dependent variable is affected by 49.8%. Based on partial test or t test, indicated that of the four independent variables only the economic structure that significantly affect the tax ratio. Keywords: income capita, economic growth rate, economic structure, tax rate, tax ratio
Analysis of nonlinear local voting protocol for stochastic dynamical networks

The consensus problem for nonlinear stochastic networks with switched topology and noise in measurements is considered. A modification of known local voting protocol with non-decreasing step-size is analyzed for the case when inputs appear nonlinearly in the network model. The analysis is based on introduction of an averaged continuous-time model of the initial discrete-time stochastic system. It is shown that the trajectories of the initial system are close in mean-square sense to the trajectories of the averaged model. Such an approximation result is used for analysis of the initial system. To demonstrate the performance of the system with new protocol, an example for the load balancing problem is given. Corresponding simulation results show a reasonable quality of the control strategy.
Dynamic partitioning of physical memory among virtual machines: ASMI:architectural support for memory isolation

It is an open challenge for virtualization technology architects to provide security to Virtual Machine (VM), in the presence of an infected hypervisor, without much compromise on performance. A few hardware modifications have been introduced by manufactures like Intel and AMD to provide a secure VM environment with low performance degradation. These solutions are unable to provide VM isolation in the presence of an infected hypervisor. In this paper we propose a novel memory architecture model, that can achieve a secure physical memory region to each VM without performance degradation.
The Time/State-based Software-Intensive Systems Failure Mode Researches

Nowadays the application status of Software-Intensive Systems(SISs) introduces a category of system failure caused by unforeseen operation or environment change. Generally speaking this kind of failure can be observed as system emergent behavior or degraded running. Because it relates to both the running time and state, it is called Time/State(TS)-based SISs failure. Moreover it is one of the significant sources of SISs failure. However the related researches are few. This paper presents the life cycle of software-related failure of SISs firstly. Secondly it analyzes the TS-based SISs failure mechanism and establishes the corresponding model. Moreover it introduces the traditional verification methods of SISs. Furthermore it presents the definition, classification and ontology representation of TS-based SISs failure mode. The instance validation shows the existence of TS-based SISs failure and feasibility of detecting the failure by using combined test method primarily. Finally this paper analyzes the problems and prospects the future researches.
Normal myelination of anatomic nerve fiber bundles: MR analysis.

PURPOSE In order to establish milestones of brain maturation by MR imaging, we examined the initiation of myelination of fiber bundles and of surrounding white matter. METHODS The subjects included 54 healthy infants ranging in age from 35 to 145 weeks by corrected gestational age. Images were obtained on a 1.5-T MR unit. In 24 sites of 18 fiber bundles in eight cross sections obtained perpendicular to the long axis of the brain stem, we analyzed the initiation of myelination and the age at which fiber bundles become indistinguishable owing to myelination of the surrounding white matter (blurring). RESULTS The fiber bundles were classified into two groups on the basis of the presence or absence of blurring. The first group (no blurring) was further divided into group 1A, in which myelination began at 35 weeks or less, and group 1B, in which myelination began at 44 weeks or later. The second group (blurring) was divided into group 2A, in which myelination began at 35 weeks or less and blurring occurred at 43 to 49 weeks; group 2B, in which myelination started at 35 weeks or less and blurring began at 67 to 145 weeks; and group 2C, in which myelination began at 36 weeks or later and blurring occurred at 67 to 145 weeks. CONCLUSION The time of blurring, when myelinated fiber bundles become indistinguishable from surrounding white matter owing to the initiation of myelination, is considered to be a useful parameter of brain maturation in infancy.
Survey on Video Analysis of Human Walking Motion

In computer vision related applications, video analysis of human walking motion is currently one of the most active research topics. The task of analyzing human walking can be divided into three distinct subtasks – human detection or segmentation, motion tracking and walking pose analysis. Typically, the analysis of the human walking starts with the extraction of motion information, detection of the presence of humans in the sequences of frames and then followed by analysis of events related to walking. This paper presents a survey of different methodologies used for human walking motion analysis, approaches used for human detection or segmentation, various tracking methods, approaches for pose estimation and pose analysis. The common data sets available for building robust, automatic and intelligent systems to understand “walking” motion are also included. Finally, uses of unsupervised techniques for analysing human walking are highlighted. Human walking motion is a subset of a broad topic of human motion analysis.
Evaluation of pronuclear morphology as the only selection criterion for further embryo culture and transfer: results of a prospective multicentre study.

BACKGROUND The aim was to study zygote evaluation based on pronuclear morphology under the German embryo protection law, according to which only a maximum of three zygotes are allowed to be cultured for embryo transfer. METHODS In this prospective multicentre study, a total of 512 treatment cycles was performed at 10 centres, between November 1999 and October 2000. Zygotes were classified into seven patterns (0A, 0B and 1-5). Pattern 0A and 0B zygotes were preferentially used for further culture and transfer. RESULTS Cycles with transfer of at least one embryo derived from pattern 0B, but not pattern 0A, resulted in significantly higher pregnancy (37.9%) and implantation rates (20.5%) compared with non-pattern 0B cycles (26.4 and 15.7%; P < 0.05 and P < 0.01 respectively). In younger patients (aged < or =35 years), significantly more 0B zygotes were available for transfer than in older patients (34.2 versus 25.8%; P < 0.005). CONCLUSIONS From these data, it is concluded that evaluation of pronuclear morphology is beneficial, especially for countries with legal restrictions regarding embryo selection.
Development of a half sphere bending soft actuator for flexible bronchoscope movement

Flexible bronchoscope (FOB) is commonly used nowaday for airway observation in lung diagnosis because of its easier, safer, and good tolerant technique. However, during intubation, FOB may lead to get jammed due to unpassed size. In this paper, a novel soft-tip FOB development using soft actuator mechanism is proposed to solve the jamming problem. The study is focused on the design, fabrication, and implementation stages. The FOB design utilized a molding system that was drawn using SolidWorks and printed using 3D printer. The FOB fabrication used the printed mold to create the soft-tip by pouring the silicon rubber and mixing the inner and outer layers into the mold and solidifying them. The FOB initial implementation was performed by using tube and air pressure generator. By fabricating two types of soft actuator, combining twisting as well as bending movement actuator, a half-sphere movement actuator was developed. The result shows that the proposed soft-tip could move close to half-sphere bending motion after standard pressure driving experiment was executed.
Nightmare on Wall Street: Salomon Brothers and the Corruption of the Marketplace

In the 1980s Salomon Brothers was the epitome of modern Wall Street. Traders became bankers, wielding the trader's weapons of guts, merit and luck, and broke through all the traditional barriers and built a financial giant. In the summer of 1991, Salomon was a world power with $170 billion in assets, a force in London and Tokyo as well as New York, and by far the largest dealer in US government securities. But Salomon had also become the self-indulgent corporate bully skewered in "Bonfire of the Vanities" and "Liar's Poker", hated for its arrogance and feared for its clout. Its top executives began to think they could write their own rules. When the firm manipulated the government bond market in a $10 billion scandal, they destroyed not only careers but the reputation of their house in a business where reputation is everything. This book looks at Salomon Brothers' influence and power.
Performance Evaluation of Triangulation Based Range Sensors

The performance of 2D digital imaging systems depends on several factors related with both optical and electronic processing. These concepts have originated standards, which have been conceived for photographic equipment and bi-dimensional scanning systems, and which have been aimed at estimating different parameters such as resolution, noise or dynamic range. Conversely, no standard test protocols currently exist for evaluating the corresponding performances of 3D imaging systems such as laser scanners or pattern projection range cameras. This paper is focused on investigating experimental processes for evaluating some critical parameters of 3D equipment, by extending the concepts defined by the ISO standards to the 3D domain. The experimental part of this work concerns the characterization of different range sensors through the extraction of their resolution, accuracy and uncertainty from sets of 3D data acquisitions of specifically designed test objects whose geometrical characteristics are known in advance. The major objective of this contribution is to suggest an easy characterization process for generating a reliable comparison between the performances of different range sensors and to check if a specific piece of equipment is compliant with the expected characteristics.
Niekeynesowskie skutki polityki fiskalnej w krajach strefy Euro, ze szczególnym uwzględnieniem wpływu na proces konwergencji gospodarczej

Last global financial crisis has led to massive fiscal stimulation actions in most of developed countries which resulted in significant increase of their public debt. This can be also said about Eurozone or wider EU economies. This factors in near future will force many EU countries to adopt much stricter middle and long term fiscal policy that will be necessary for deleveraging process. In this context the aim of the research is to check whether can one find non-Keynesian effects of fiscal consolidations in Eurozone countries in last decade. If the answer is positive, then could these non-Keynesian effects be significant developing factor in case of Eurozone countries. The third scientific question concentrates on the ways the fiscal consolidations were implemented and the potential influence of consolidations strategies on short term growth. In the research the econometric dynamic panel model based on the concept of conditional s-convergence was applied. As a complementary method qualitative analysis of cases of significant contractions was made with the concentration on the differences between expansionary thus non-Keynesian cases and conventional Keynesian cases of fiscal contractions. The research results give some arguments for existence of fiscal transitions channels leading to non-Keynesian effects of fiscal policy, which in the same time can be a factor of s-conditional convergence.
Twice Differentiable Spectral Functions

A function F on the space of n × n real symmetric matrices is called spectral if it depends only on the eigenvalues of its argument. Spectral functions are just symmetric functions of the eigenvalues. We show that a spectral function is twice (continuously) differentiable at a matrix if and only if the corresponding symmetric function is twice (continuously) differentiable at the vector of eigenvalues. We give a concise and usable formula for the Hessian.
Inflation Targeting and Inflation Behavior: A Successful Story?

This paper estimates the effects of inflation targeting (IT) adoption over inflation dynamics using a wide control group. We contribute to the current IT evaluation literature by considering the adoption of IT by a country as a treatment, just as in the program evaluation literature. Hence, we perform propensity score matching to determine suitable counterfactuals to the actual inflation targeters. With this approach we find that IT has helped in reducing the level and volatility of inflation in the countries that adopted it. This result is robust to alternative definitions of treatment and control groups. We also find that the e ect of IT in the persistence of inflation is rather weak and not as categorical as the one associated with the mean and volatility of inflation.