Miracle-dz/UniFAR-FTUs huggingface dataset:
MA 614: LINEAR AND NONLINEAR PROGRAMMING

The real valued function f is called the objective function, and D the constraint set, or decision set. We choose to minimize “cost. ” The problem (P) is called feasible if D is non-empty, and a point in D is called a feasible solution. The decision x* ∈ D solves (P) or is optimal if x ∈ D implies that f(x) ≥ f(x*). In this case, x* is an optimal solution or optimizer of (P), and f(x*) is the optimal value.
Time-frequency analysis of duty cycle changing on steady-state visual evoked potential: EEG recording

The purpose of this paper is to investigate the applicability of duty cycle for steady-state visual evoked potential (SSVEP)-based application. For this, the time-frequency analysis of SSVEP during visual stimuli presentation with different duty cycles was performed. The commercial wireless EEG headset with O1 and O2 channels was utilized to record the associated brain activity. The experimental paradigm, in this experiment, we mainly focus on instantaneously changes of duty cycle of SSVEP in the four principal frequency bands, i.e., theta (3-7 Hz), alpha (8-12 Hz), beta (13-30 Hz), and gamma (30-40 Hz). Peak magnitude, peak frequency, and spectral coherence of SSVEP were measured. Results showed that coherences measured in the theta and alpha bands differed significantly with p <; 0.001. Thus, the present results suggest that the duty cycle is recommended as a feature for potential multicommand SSVEP-based applications.
Kerr Electro-Optic Field Mapping Measurements in Electron Beam Irradiated Polymethylmethacrylate

Kerr electro-optic field mapping measurements are presented in electron beam irradiated polymethylmethacrylate (PMMA) where the accumulated trapped charge results in large self-electric fields of the order of 1 to 2.5 MV/ cm. The resulting numerous light maximum and minimum recorded on photographic film and videotape allow accurate measurement of the time dependence of the electric field and space charge distributions.
THE ROLE OF EXPECTANCY IN CHOICE OF REFERRING EXPRESSIONS

Depending on the context of use, the English determiner this can be either definite or indefinite (Prince 1981). On the one hand, it functions as a demonstrative determiner alongside that, and, on the other hand, it is a determiner for indefinite noun phrases alongside the simple indefinite article a (Perlman 1969, Prince 1981, Wald 1983, among others). This paper focuses on the latter use of this, which occurs in colloquial, mainly conversational English, as shown in (1).
Signal Processing and Interference Suppression for Wireless Networks with Any Number of Users

— In this paper, we investigate how to send space time codes with full diversity and low decoding complexity for Z channels with any number of users using precoders. First, we assume that we have J transmitters and J receivers. Each transmitter sends code words to respective receiver at the same time. We propose an orthogonal transmission scheme that combines space-time codes and array processing to achieve low-complexity decoding and full diversity for transmitted signals. To our best knowledge, this is the first general scheme which can achieve low-complexity decoding and full diversity for any transmitted code word in Z channel with any number of uses when all the users transmit at the same time. Simulation results validate our theoretical analysis.
Identification of target antigens for the human cytotoxic T cell response to Epstein-Barr virus (EBV): implications for the immune control of EBV-positive malignancies

Epstein-Barr virus (EBV), a human herpes virus with oncogenic potential, persists in B lymphoid tissues and is controlled by virus- specific cytotoxic T lymphocyte (CTL) surveillance. On reactivation in vitro, these CTLs recognize EBV-transformed lymphoblastoid cell lines (LCLs) in an HLA class I antigen-restricted fashion, but the viral antigens providing target epitopes for such recognition remain largely undefined. Here we have tested EBV-induced polyclonal CTL preparations from 16 virus-immune donors on appropriate fibroblast targets in which the eight EBV latent proteins normally found in LCLs (Epstein-Barr nuclear antigen [EBNA] 1, 2, 3A, 3B, 3C, leader protein [LP], and latent membrane protein [LMP] 1 and 2) have been expressed individually from recombinant vaccinia virus vectors. Most donors gave multicomponent responses with two or more separate reactivities against different viral antigens. Although precise target antigen choice was clearly influenced by the donor's HLA class I type, a subset of latent proteins, namely EBNA 3A, 3B, and 3C, provided the dominant targets on a range of HLA backgrounds; thus, 15 of 16 donors gave CTL responses that contained reactivities to one or more proteins of this subset. Examples of responses to other latent proteins, namely LMP 2 and EBNA 2, were detected through specific HLA determinants, but we did not observe reactivities to EBNA 1, EBNA LP, or LMP 1. The bulk polyclonal CTL response in one donor, and components of that response in others, did not map to any of the known latent proteins, suggesting that other viral target antigens remain to be identified. This work has important implications for CTL control over EBV-positive malignancies where virus gene expression is often limited to specific subsets of latent proteins.
Lyapunov-based dual-mode method for economic optimization model predictive control

This paper presents a new economic optimization model predictive control (MPC) for constrained continuous-time nonlinear systems. In order to relax the terminal state constraint, a particular dual-mode method is used to design the economic MPC, where the local (terminal) controller is resulted from control Lyapunov functions (CLFs) and is nonlinear, with some free-parameters. These free-parameters are computed online when the states are in the terminal region. Iterative feasibility and asymptotical stability of the closed-loop system are achieved, which further yields an asymptotical average performance being better than the optimal steady-state performance. Finally, an example of the isothermal CSTR is exploited to illustrate the effectiveness of the proposed method.
Exposure to Political Disagreement in Social Media Versus Face-to-Face and Anonymous Online Settings

This article investigates political disagreement on social media in comparison to face-to-face and anonymous online settings. Because of the structure of social relationships and the social norms that influence expression, it is hypothesized that people perceive more political disagreement in social media settings versus face-to-face and anonymous online settings. Analyses of an online survey of adults in the United States show that (a) social media users perceive more political disagreement than non-users, (b) they perceive more of it on social media than in other communication settings, and (c) news use on social media is positively related to perceived disagreement on social media. Results are discussed in light of their implications for current debates about the contemporary public sphere and directions for future research.
Correlation Analysis of Sleep Quality and Youth Ischemic Stroke

Objective. To study risk factors related to ischemic stroke (IS) in youth and the influence of sleep quality on youth ischemic stroke incidence. Methods. 223 patients aged 18 to 45 years who were admitted to Puyang People's Hospital from June 2011 to February 2013 with a first-ever ischemic stroke were selected as the research cases. 158 young people with a normal physical examination were selected as the control group. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was used to analyse the correlation between sleep quality and youth IS incidence. The US National Institutes of Health Stroke Scale (NIHSS) and modified Rankin Scale (MRS) scores were used to assess cases' state of illness and prognosis three months after IS. Results. Univariate and multivariate logistic regression analysis showed that the association of these risk factors with youth IS incidence, from highest to lowest, was hypertension, hyperlipidaemia, smoking history, high homocysteine, the quality of sleep, family history of stroke, and alcoholism. Poor sleep quality ranked fifth among all risk factors and was positively correlated with poor prognosis for youth IS patients. Conclusion. The results of this study showed that sleep quality is an important factor in the pathogenesis and prognosis of youth IS.
Web Identification Image Recognition Based on Deep Learning

In big data era, digital information is growing rapidly. False and unlawful images influence our normal work and life, especially the exaggerated or fake propaganda of electronic commerce merchants. In this article, our purpose is to help people find out fake qualification certificate information automatically. Base on collecting and classifying web images, we apply Convolutional Neural Network (CNN) method to train a network and extract the corresponding models to recognize web identification images based on Caffe toolbox with GPU. It is saving costs on man power and material resources with high efficiency once the CNN model is trained. This model can be designed to find identification images and contrast in database. The experimental results show it is worked well in recognizing identification images with high efficiency.
Correlations between sportsmen’s morpho-functional measurements and voice acoustic variables

Purpose. Since human voice characteristics are specific to each individual, numerous anthropological studies have been ori-ented to find significant relationships between voice and morpho-functional features. The goal of this study was to identify the correlation between seven morpho-functional variables and six voice acoustic parameters in sportsmen. Methods. Following the protocols of the International biological Program, seven morpho-functional variables and six voice acoustic parameters have been measured in 88 male professional athletes from Kosovo, aged 17–35 years, during the period of April–October 2013. The statistical analysis was accomplished through the SPSS program, version 20. The obtained data were analysed through descriptive parameters and with Spearman’s method of correlation analysis. Results. Spearman’s method of correlation showed significant negative correlations ( R = –0.215 to –0.613; p = 0.05) between three voice acoustic variables of the fundamental frequency of the voice sample (Mean, Minimum, and Maximum Pitch) and six morpho-functional measures (body Height, body Weight, Margaria-Kalamen Power Test, Sargent Jump Test, Pull-up Test, and VO 2max .abs). Conclusions. The significant correlations imply that the people with higher stature have longer vocal cords and a lower voice. These results encourage investigations on predicting sportsmen’s functional abilities on the basis of their voice acoustic parameters.
Mesh generation for surfaces with distinct boundary segmentation

The mesh approximation of solid models is an important and necessary step for several applications. Particularly when surfaces with T-junctions are presented in the model. In this situation, the surface boundaries can have different number of segment approximations. Such a surface can be filled by an irregular mesh. The paving algorithm is one of the best mesh generators, however its implementation is not easy. This work redesign the paving algorithm with a specific implementation to mesh quadrilaterals with different segmentaion in each side. Several results are shown demonstrating that the redesigned paving algorithm was successfully implemented.
CCO-based continuous-time ΔΣ modulators for electrochemical sensor arrays: System- and transistor-level simulation results

A 1st order current-mode continuous-time delta-sigma modulator architecture is presented for in-sensor-site readout in electrochemical sensor arrays. The electrode-to-electrolyte interface is used as integration capacitance, followed by a Current-Controlled Oscillator-based quantizer. A relaxation oscillator is optimized to meet the requirements of Cyclic Voltammetry. Two circuit realizations are presented and investigated by means of simulation. Both modulators achieve 30 dB/decade noise shaping and reach an SNDR of 67 dB and 62 dB, respectively, at a signal bandwidth of 10 kHz. The reported modulators are highly efficient regarding area and power, and immune to noise and supply voltage variations.
A strongly-coupled immersed-boundary formulation for thin deforming surfaces, with application to elastic beams

We present a strongly-coupled immersed-boundary method for flow-structure interaction problems involving thin deforming bodies. The method is stable for arbitrary choices of solid-to-fluid mass ratios and for large body motions. As with many strongly-coupled immersed-boundary methods, our method requires the solution of a nonlinear algebraic system at each time step. The system is solved through iteration, where the iterates are obtained by linearizing the system and performing a block LU factorization. This restricts all iterations to small-dimensional subsystems that scale with the number of discretization points on the immersed surface, rather than on the entire flow domain. Moreover, the iteration procedure we propose does not involve heuristic regularization parameters, and has converged in a small number of iterations for all problems we have considered. We derive our method for general deforming surfaces, and verify the method with two-dimensional test problems of geometrically nonlinear beams undergoing large amplitude flapping behavior.
Identifiability of an X-Rank Decomposition of Polynomial Maps

In this paper, we study a polynomial decomposition model that arises in problems of system identification, signal processing, and machine learning. We show that this decomposition is a special case of the X-rank decomposition---a powerful novel concept in algebraic geometry that generalizes the tensor CP decomposition. We prove new results on generic/maximal rank and on identifiability of a particular polynomial decomposition model. We try to make the results and basic tools accessible to a general audience (i.e., assuming no knowledge of algebraic geometry or its prerequisites).
Power-aware operating systems for interactive systems

Many portable systems deploy operating systems (OS) to support versatile functionality and to manage resources, including power. This paper presents a new approach for using OS to reduce the power consumption of I/O devices in interactive systems. Low-power OS observes the relationship between hardware devices and processes. The OS kernel estimates the utilization of a device from each process. If a device is not used by any running process, the OS puts it into a low-power state. This paper also explains how scheduling can facilitate power management. When processes are properly scheduled, power reduction can be achieved without degrading performance. We implemented a prototype on Linux to control two devices; experimental results showed nearly 70% power saving on a network card and a hard disk drive.
Mobile Vision for Intelligent Commuting : " Interactive Bus Stop " Case Study

In this paper we present a case study of context aware, on-site information retrieval using a computervision-based interaction on mobile phones with the goal of facilitating information access for urban commuters that use public transport. Our focus is on intuitive touchless interaction using contextual recognition of existing visual objects, such as signs and information plates. Object detection and localization are based on fast matching of local image features represented as Histogrammed Intensity Patches. We show that low-level image features can be learned, organized, and optimized for discrimination between similar, poorly textured object images. The system is integrated with existing software for information retrieval and experiments show that it achieves good performance in real-life situations.
Simulated Annealing Approach for the Constrained Shortest Path with Fuzzy Arc and Node Weights

The constrained shortest path problem in a network with fuzzy arc and node weights, abbreviated as the CSP problem, has important applications in modern logistics and supply-chain management, which is known to be NP-hard. In this paper, a fuzzy integer optimization model is established for the CSP problem with the improved decision variables, which will reduce the space complexity. Then the fuzzy objective weight of a directed path is introduced in the objective function, and the penalty function method is adopted to deal with the constraints. Hence, an unconstrained programming is proposed for the CSP problem, which is solved by a simulated annealing algorithm. Finally, the computational results demonstrate the efficiency and feasibility of the algorithm.
Anti-Melanogenesis Effect of Quercetin

Whitening cosmetics with anti-melanogenesis activity are very popular worldwide. Many companies have tried to identify novel ingredients that show anti-melanogenesis effects for new product development. Among many plant-derived compounds, polyphenols are thought to be one of the most promising anti-melanogenesis ingredients. In order to prepare effective whitening polyphenols, 3,3,4,5,7-pentahydrosyflavone (quercetin) has been widely researched and applied to commercial products because it is present in high levels in many edible plants. Quercetin is thus a representative polyphenol and has recently gained attention in the cosmetics field. There are many controversies, however, regarding the effect of quercetin, based on in vitro studies, cell line experiments, and human trials. In this review, toxicity and efficacy data for quercetin and its derivatives in various experimental conditions (i.e., various cell lines, concentration ranges, and other parameters) were examined. Based on this analysis, quercetin itself is shown to be ineffective for hypopigmentation of human skin. However, a few types of quercetin derivatives (such as glycosides) show some activity in a concentration-dependent manner. This review provides clarity in the debate regarding the effects of quercetin.
ICUE Conference Proceedings

Introduction National educational reform efforts are now focusing on improving the quality of and accessibility to quality early childhood programming for children to decrease economic and achievement gaps. However providing opportunities for quality early childhood programs for low-income children is not a new phenomenon. Head Start, comprehensive school readiness programs was launched almost 50 years ago to provide quality preschool programming and services for children and families living in poverty 3. Nationally, 48% of children under the age of five live in poverty with 66% of Black children living in low-income families (National Center for Children in Poverty, 2014). The state in which this study took place, 77% of young Black children live in low income families, and have the least access among cultural groups to high quality educational experiences and opportunities for success (National Center for Children in Poverty, 2014).
A Uniform Analysis of Nonsymmetric and Coercive Linear Operators

In this work, we show how to construct, by means of the function space interpolation theory, a natural norm $\trinorm{\cdot}$ for a generic linear coercive and nonsymmetric operator $\mathcal{L}$. The natural norm $\trinorm{\cdot}$ allows for continuity and inf-sup conditions which hold independently of $\mathcal{L}$. In particular we will consider the convection-diffusion-reaction operator, for which we obtain continuity and inf-sup conditions that are uniform with respect to the operator coefficients. In this case, our results give some insight for the analysis of the singular perturbed behavior of the operator, occurring when the diffusivity coefficient is small. Furthermore, our analysis is preliminary to applying some recent numerical methodologies (such as least-squares and adaptive wavelet methods) to this class of operators, and more generally to analyzing any numerical method within the classical framework [I. Babuska and A. K. Aziz, in The Mathematical Foundations of the Finite Element Method wi.
Effect of pulmonary perfusion on the slopes of single-breath test of CO2.

The objective of this study was to evaluate the effects of lung perfusion on the slopes of phases II (S(II)) and III (S(III)) of a single-breath test of CO(2) (SBT-CO(2)). Fourteen patients submitted to cardiac surgery were studied during weaning from cardiopulmonary bypass (CPB). Pump flow was decreased in 20% steps, from 100% (total CPB = 2.5 l.min(-1). m(-2)) to 0%. This maneuver resulted in a progressive and opposite increase in pulmonary blood flow (PBF) while maintaining ventilator settings constant. SBT-CO(2), respiratory, and hemodynamic variables remained unchanged before and after CPB, reflecting a constant condition at those stages. S(III) was similar before and after CPB (19.6 +/- 2.8 and 18.7 +/- 2.1 mmHg/l, respectively). S(III) was lowest during 20% PBF (8.6 +/- 1.9 mmHg/l) and increased in proportion to PBF until exit from CPB (15.6 +/- 2.2 mmHg/l; P < 0.05). Similarly, S(II) and the CO(2) area under the curve increased from 163 +/- 41 mmHg/l and 4.7 +/- 0.6 ml, respectively, at 20% PBF to 313 +/- 32 mmHg/l and 7.9 +/- 0.6 ml (P < 0.05) at CPB end. When S(II) and S(III) were normalized by the mean percent expired CO(2), they remained unchanged during the protocol. In summary, the changes in PBF affect the slopes of the SBT-CO(2). Normalizing S(II) and S(III) eliminated the effect of changes in the magnitude of PBF on the shape of the SBT-CO(2) curve.
Automatic jump detection method for athlete monitoring and performance in volleyball

Athlete performance and monitoring is an area of interest across many sporting codes, for indoor sports however, the primary methods of athlete monitoring are manually recording statistics or video analysis. This paper contains two studies, the first to validate an automatic jump detection method which was developed using inertial sensors and the second to determine the accuracy at which the time of flight (ToF) can be detected using this method. To evaluate the automatic jump detection method both male (n=7) and female (n=5) volleyball players performed a total of 1201 jumps manually identified on video during a typical training session. Of these 1201 jumps, the method correctly identified 1144 (95%) jumps in the inertial data with only 57 (5%) being false negatives and 54 (4%) false positives. The ToF was then found to be underestimated with a mean error of -0.015s ± 0.058s when compared to the ToF obtained from a force plate. Overall the system provided a means to quickly and easily track the number of jumps being performed by each player and the approximate ToF of each jump when compared to existing methods.
Immune Centroids Oversampling Method for Binary Classification

To improve the classification performance of imbalanced learning, a novel oversampling method, immune centroids oversampling technique (ICOTE) based on an immune network, is proposed. ICOTE generates a set of immune centroids to broaden the decision regions of the minority class space. The representative immune centroids are regarded as synthetic examples in order to resolve the imbalance problem. We utilize an artificial immune network to generate synthetic examples on clusters with high data densities, which can address the problem of synthetic minority oversampling technique (SMOTE), which lacks reflection on groups of training examples. Meanwhile, we further improve the performance of ICOTE via integrating ENN with ICOTE, that is, ICOTE + ENN. ENN disposes the majority class examples that invade the minority class space, so ICOTE + ENN favors the separation of both classes. Our comprehensive experimental results show that two proposed oversampling methods can achieve better performance than the renowned resampling methods.