Miracle-dz/UniFAR-FTUs huggingface dataset:
Wide Area Monitoring System implementation in securing voltage stability based on phasor measurement unit data

One of Wide Area Monitoring System (WAMS) Application is for monitoring the voltage stability of the power system. WAMS utilizes Phasor Measurement Unit (PMU) as the real time measurement devices. Using PMU data, the voltage stability performance can be monitored online so that the dynamic voltage stability assessment can be applied. In this work, Synchronized Based Real Time Voltage Stability Index and PQ Voltage stability index are used as indicators to show the severity level pertinent to voltage stability.
Physiological Detection of Affective States in Children with Autism Spectrum Disorder

Autism spectrum disorder (ASD) is associated with emotion processing difficulties, including limitations in understanding the emotional states of others and processing one's own internal experiences. The nature of these difficulties remains largely unknown. This is due, in part, to challenges in acquiring reliable self-reports of emotional experiences from this population. Automatically characterizing emotional states with the use of physiological signals is a potential means of overcoming this problem, as physiological signals can provide an objective and nonverbal method for assessing affective states. However, this approach has not been well considered with ASD to date. To this end, we investigated detection of autonomic responses to positive and negative stimuli in children with ASD using four physiological measurements. Electrocardiograms, respiration, skin conductance and temperature were measured while 15 children with ASD viewed standard images known to evoke varying levels of valence (positive and negative) and arousal (low and high intensity). Using an ensemble of classifiers, affective states induced by stimuli of positive and negative valence or high and low arousal was differentiated at average accuracies approaching or exceeding 80 percent. These results suggest the feasibility of discerning affective states in individuals with ASD objectively using physiological signals.
Robust Background Subtraction Using Geodesic Active Contours in ICA Subspace for Video Surveillance Applications

Current background subtraction methods require background modeling to handle dynamic backgrounds. The purpose of our study is to investigate a background template subtraction method to detect foreground objects in the presence of background variations. The method uses a single reference image but the change detection process allows change in the background including illumination changes and dynamic scenes. Using indoor and outdoor scenes, we compare our method to the best state-of-the art algorithms using both quantitative and qualitative evaluation. The results show that our method is in general more accurate and more effective.
Elimination of Spurious Ambiguity in Transition-Based Dependency Parsing

We present a novel technique to remove spurious ambiguity from transition systems for dependency parsing. Our technique chooses a canonical sequence of transition operations (computation) for a given dependency tree. Our technique can be applied to a large class of bottom-up transition systems, including for instance Nivre [2004] and Attardi [2006].
A fast training algorithm for SVM based on the convex hulls algorithm

From the geometric point of view and by choosing the most informative patterns that have the most possibility to become the support vectors in the training data by using the convex hulls algorithm, a fast training algorithm for SVM is given in this paper. In this training algorithm for SVM, the convex hull vectors are chosen firstly, and the convex hull vectors are used to train the SVM. The characteristics of the convex hulls algorithm are analyzed by experiments with training sets of different size and dimension. Classification experiments results reveal that the given fast training algorithm for SVM has better training performance comparing with the traditional training algorithm for SVM, and has distinct performance improvement when deal with the dataset of low dimension and large size.
An Algorithm of Large-Scale Approximate Multiple String Matching for Network Security

Payload checking has become the basic technique for network security applications, where the exact string matching technology is widely used. But as the game between attackers and defenders goes further into payload confusion, the approximate string matching technology is needed, especially large-scale approximate multiple string matching technology. In this paper, we propose one practical algorithm, LargePEX, for large scale approximate multiple string matching based on edit distance. The algorithm is basically extended from PEX, an algorithm of approximate single string matching, with the idea of filtering and verification. LargePEX is finely designed to fit for large-scale matching using fine grain steps analyses. Some experiments are presented to verify the efficiency of LargePEX. As the results show, for the set of 10k strings, the average network payload checking speed using this algorithm can achieve 25 MBps-40 MBps, enough for 100 Mbps Ethernet. With hardware upgrading, the algorithm is also practical for Gigabit Ethernet. So LargePEX provides a new way for defenders to develop more effective methods to protect valuable resources and prevent intrusions by payload checking.
B-spline modeling of road surfaces for freespace estimation

In this paper, we propose a general technique for robust modeling of non-planar ground surfaces. It is based on representing the ground plane as a parametric B-Spline surface and on robust tracking of the surface parameters using stereo disparities and a Kalman filter. We adopt a recently published real-time optimization algorithm for finding the road-obstacle boundary to integrate disparity values. The results show that in situations where a planar road assumption yields wrong results due to undulating roads, our approach is able to distinguish between free space and obstacles.
Multiscale factor models for molecular networks

A factor modeling framework is developed that is both predic tive of phenotypic or response variation and the inferred factors offer insigh t with respect to underlying physical or biological processes. The method is general and c be applied to a variety of scientific problems. We focus on modeling complex disease phenotypes (etiology of cancer) as a motivating example. In this setting, the factor s capture gene or protein interaction networks at different scales – breadth of the inte raction network. The method integrates multiscale analysis on graphs and manifolds dev eloped in applied harmonic analysis with sparse factor models, a mainstay of applied st atistics. Specific findings include the association of the TGFβ pathway with prostate cancer recurrence mediated by cell-cycle control and the implication of the p27 pat hway in cancer progression. In silico perturbation analyses of the inferred multiscale model suggest that the TGFβ pathway is a dominant pathway in control of cell-cycle dereg ulation in prostate cancer.
An Algorithm for Classifying Incomplete Data with Selective Bayes Classifiers

Actual data sets are often incomplete because of various kinds of reason. Although many algorithms for classification have been proposed, most of them deal with complete data. So methods of constructing classifiers for incomplete data deserve more attention. By analyzing main methods of processing incomplete data for classification, this paper presents a selective Bayes classifier for classifying incomplete data. The proposed algorithm needs no assumption about data sets that are necessary for previous methods of processing incomplete data. Experiments on twelve benchmark incomplete data sets show that this algorithm can greatly improve the accuracy of classification. Furthermore, it can also sharply reduce the number of attributes and so can greatly simplify the data sets and classifiers.
How Does Consumers' Financial Vulnerability Relate to Positive and Negative Financial Outcomes? The Mediating Role of Individual Psychological Characteristics

Vulnerable consumers are at particular risk of financial detriment due to, for example, low financial literacy or numeracy, high debt, low income, or impactful changes in personal circumstances. We introduce a comprehensive and formative measure of financial vulnerability that integrates these risk factors and is grounded in definitions of vulnerability from financial regulation bodies and government agencies such as the Consumer Financial Protection Bureau. Across three studies of US individuals, we assess the nomological validity of this measure of financial vulnerability through its relationship with positive and negative financial outcomes (e.g., savings levels, paying credit card balances in full each month, being in arrears) as well as relevant psychological characteristics (e.g., personal savings orientation [PSO], money management skills, financial self‐efficacy). Moreover, we examine whether and how these psychological characteristics mediate the relationship between financial vulnerability and financial outcomes. We conclude with an overview of implications for policy makers and business practitioners.
Let The Puppets Move! Automated Testbed Generation for Service-oriented Mobile Applications

There is a growing interest for techniques and tools facilitating the testing of mobile systems. The movement of nodes is one of the relevant factors of context change in ubiquitous systems and a key challenge in the validation of context-aware applications. An approach is proposed to generate a testbed for service-oriented systems that takes into account a mobility model of the nodes of the network in which the accessed services are deployed. This testbed allows a tester to assess off-line the QoS properties of a service under test, by considering possible variations in the response of the interacting services due to node mobility.
A New and Efficient Large-Update Interior-Point Method for Linear Optimization

Recently, in [10], the authors presented a new large-update primal-dual method for Linear Optimization, whose O(n 2 3 log ε ) iteration bound substantially improved the classical bound for such methods, which is O ( n log ε ) . In this paper we present an improved analysis of the new method. The analysis uses some new mathematical tools, partially developed in [11], where we consider a whole family of interior-point methods which contains the method considered in this paper. The new analysis yields an O (√ n log n log ε ) iteration bound for large-update methods. Since we concentrate on one specific member of the family considered in [11], the analysis is significantly simpler than in [11]. The new bound further improves the iteration bound for large-update methods, and is quite close to the currently best iteration bound known for interior-point methods, namely O (√ n log ε ) . Hence, the existing gap between the iteration bounds for small-update and large-update methods is substantially narrowed.
Regulation of sugar transport via the multiple sugar metabolism operon of Streptococcus mutans by the phosphoenolpyruvate phosphotransferase system

In this report, we provide evidence that the transport of sugars in Streptococcus mutans via the multiple sugar metabolism system is regulated by the phosphoenolpyruvate phosphotransferase system. A ptsI-defective mutant (DC10), when grown on the multiple sugar metabolism system substrate raffinose, exhibited reduced growth, transport, and glycolytic activity with raffinose relative to the parent strain BM71. Inhibition of [3H]raffinose uptake was also observed in both BM71 and DC10 with increasing concentrations of glucose and the glucose analogs alpha-methyl glucoside and 2-deoxyglucose.
Spatial Metaphors in Temporal Reasoning

We of ten talk about time in terms of space: of looking forward to a brighter tomorrow, of troubles that lie behind us, or of music that played all through the night. The language of spatial motion also seems to be imported into time, as when we say that the holidays are approaching, or tha i a theory was proposed ahead of its time. Many researchers have noted an orderly and systematic correspondence between the domains of lime and space in language (Bennett, 1975: Bierswisch, 1967; Clark, 1973; Fillmore, 197! , Lehrer, 1990; Traugott, 1978). The following examples i l l u s t r a t e the parallel use of static spatial and temporal expressions:
Throughput and delay analysis of wireless multicast in distributed mobile social networks based on geographic social relationships

Since mobile communications exhibit strong social characteristics, based on the potential common interests of mobile users, mobile social networks (MSNs) are capable of mitigating the tele-traffic bottleneck. By multicasting the content of common interest from a content owner to content seekers within the owner's transmission range, a distributed MSNs architecture is proposed, which is capable of mitigating the tele-traffic imposed on network operators. In this contribution, the social relationship between a pair of MSN users is defined according to their geographic characteristics. By jointly considering the geographic social relationships and the wireless propagation environment, we derive the closed-form equations for evaluating both the throughput and delay of the social unicast/multicast transmissions. Simulation results are provided, both for supporting our theoretical analysis, as well as for investigating the impact of social relationships on the achievable network performance. Based on the results presented, we conclude that a more socially-minded content owner is particularly efficient in multicasting the content of common interest to content seekers.
Role of GluR1 in Activity-Dependent Motor System Development

Activity-dependent specification of neuronal architecture during early postnatal life is essential for refining the precision of communication between neurons. In the spinal cord under normal circumstances, the AMPA receptor subunit GluR1 is expressed at high levels by motor neurons and surrounding interneurons during this critical developmental period, although the role it plays in circuit formation and locomotor behavior is unknown. Here, we show that GluR1 promotes dendrite growth in a non-cell-autonomous manner in vitro and in vivo. The mal-development of motor neuron dendrites is associated with changes in the pattern of interneuronal connectivity within the segmental spinal cord and defects in strength and endurance. Transgenic expression of GluR1 in adult motor neurons leads to dendrite remodeling and supernormal locomotor function. GluR1 expression by neurons within the segmental spinal cord plays an essential role in formation of the neural network that underlies normal motor behavior.
Comparison of Lumbopelvic and Hip Movement Patterns During Passive Hip External Rotation in Two Groups of Low Back Pain Patients with and without Rotational Demand Activities.

BACKGROUND Because different groups of people with low back pain (LBP) engage in different tasks, their lumbopelvic-hip complex may move in different ways in those groups. The purpose of this study was to quantify the differences in lumbopelvic movement pattern during the passive hip external rotation (PHER) test in LBP patients with and without rotational demand activities (RDA). MATERIAL AND METHODS A total of 30 subjects with LBP, including 15 patients with-RDA and 15 patients without-RDA were enrolled. A passive hip external rotation test was performed. Pelvic and hip rotation over the full range of the test, timing of hip and pelvic motion, and pelvic rotation in the first half of the movement were measured using a 3-D motion analysis system. RESULTS Passive pelvic rotation during the test in the group with RDA was significantly greater than in the other group. However, there was no significant difference between the groups in other kinematic variables, including hip external rotation, timing of hip and pelvic motion and pelvic rotation in the first half of the movement (p > 0.05). CONCLUSIONS 1. A greater lumbopelvic rotation ROM during the PHER existed in LBP patients who regularly participated in RDA. 2. Different groups of patients with LBP who engage in different specific activities may have a specific lumbopelvic movement pattern impairment. Therefore, each group of LBP patients in regard to their specific activities may need a different, specific plan of treatment.
buyer : seller : Contract Seller offers : 1 st installment : taler 2 nd installment : taler 3 rd installment : taler

This paper experimentally investigates behavior in sequential one-shot transactions which are governed by non-binding contracts. In a second, incomplete information treatment, contracts are binding for some players. While according to traditional game-theoretical analysis no trade is expected in the first treatment, full trade should result in the latter. However, we find that trade is even higher in the non-binding contract treatment. On the one hand, non-binding contracts – although they are cheap talk – do guide behavior, especially at the beginning of a business relationship, while reciprocal reactions prevail later on. On the other hand, in the treatment with binding contracts cooperative behavior appears to be crowded out.
On categorising gender in surveillance imagery

Categorising gender for soft biometric recognition is especially challenging from low quality surveillance footage. Our novel approach discovers super fine-grained visual taxonomies of gender from pairwise similarity comparisons, annotated via crowdsourcing. This paper presents our techniques for collection, interpretation and clustering of perceived visual similarities, and discusses the transition from pre-defined categorisation to similarity comparisons between subjects. We compare and evaluate our proposal on two diverse datasets, demonstrating the ability to describe multiple concepts, including ambiguity and uncertainty, that go beyond binary male-female designators. Our method is applicable to a wide range of soft biometric traits and image attributes, and can aid in efficiently annotating large-scale datasets, by generating more discriminative, reproducible and flexible categorical labels.
Variability mining of state charts

Companies commonly use state charts to reduce the complexity of software development. To create variants with slightly different functionality from existing products, it is common practice to copy the corresponding state charts and modify them to changed requirements. Even though these so-called clone-and-own approaches save money in the short-term, they introduce severe risks for software evolution and product quality in the long term as the relation between the software variants is lost so that all products have to be maintained separately. In previous work, we introduced variability mining algorithms to identify the relations between related MATLAB/Simulink model variants regarding their common and varying parts. In this paper, we adapt these algorithms for state charts by applying guidelines from previous work to make them available for developers to better understand the relations between a set of state chart variants. Using this knowledge, maintenance of related variants can be improved and migration from clone-and-own based single variant development to more elaborate reuse strategies is possible to increase maintainability and the overall product quality. We demonstrate the feasibility of variability mining for state charts by means of a case study with models of realistic size.
Cellular Mechanisms of Oxidative Stress and Action in Melanoma

Most melanomas occur on the skin, but a small percentage of these life-threatening cancers affect other parts of the body, such as the eye and mucous membranes, including the mouth. Given that most melanomas are caused by ultraviolet radiation (UV) exposure, close attention has been paid to the impact of oxidative stress on these tumors. The possibility that key epigenetic enzymes cannot act on a DNA altered by oxidative stress has opened new perspectives. Therefore, much attention has been paid to the alteration of DNA methylation by oxidative stress. We review the current evidence about (i) the role of oxidative stress in melanoma initiation and progression; (ii) the mechanisms by which ROS influence the DNA methylation pattern of transformed melanocytes; (iii) the transformative potential of oxidative stress-induced changes in global and/or local gene methylation and expression; (iv) the employment of this epimutation as a biomarker for melanoma diagnosis, prognosis, and drug resistance evaluation; (v) the impact of this new knowledge in clinical practice for melanoma treatment.
UNED-UV at Medical Retrieval Task of ImageCLEF 2011

The main goal of this paper it is to present our experiments in ImageCLEF 2011 Campaign (Medical Retrieval Task). This edition we use textual and visual information, based on the assumption that the textual module better captures the meaning of a topic. So that, the TBIR module works firstly and acts as a filter, and the CBIR system reorder the textual result list. We also investigate if query expansion with image terms or with modality classification could be a way to improve base queries This paper is profiting on the work done in previous years on ImageCLEF (Wikipedia Retrieval Task). In this edition we submitted a total of ten runs (4 textual and 6 mixed). Textual ones have better results (being two of them 2 nd and 6 th within their category). Mixed runs are about the middle of the results, although have demonstrated that can improve the only textual results. With our results we have proved that query expansion with term concerning image type of the query is a promising way to further research.
Admixture Analysis of Florida Largemouth Bass and Northern Largemouth Bass using Microsatellite Loci

Abstract Microsatellite DNA variation was examined at 11 loci in five populations of Florida largemouth bass Micropterus salmoides floridanus (N = 175) and eight populations of northern largemouth bass M. s. salmoides (N = 249). Distinct allele frequencies with 33 private alleles between subspecies (threshold frequency, ≥0.05) and 19 private alleles among three geographic regions distinguished between Florida largemouth bass and northern largemouth bass as well as between northern largemouth bass from northern and southern latitudes in North America. Variation at microsatellite loci also provided sufficient resolution to discriminate among some populations within regions. Allele frequencies indicated that of 37 trophy bass (defined here as fish weighing 5.90 kg or more) donated to the Texas Parks and Wildlife Department (TPWD) between 2004 and 2005, all had more than 50% Florida largemouth bass influence with ancestry genetically similar to that of populations sampled in western Florida. Some fish (N = 24.
Identifying genes progressively silenced in preneoplastic and neoplastic liver tissues

High-throughput genomic technologies are increasingly being used to identify therapeutic targets and risk factors for specific diseases. Using 116 independent liver samples, we identified 793 probe sets that demonstrated a significant association in the frequency of absent calls as tissues progressed from normal to pre-neoplastic to neoplastic, followed by a bioinformatic approach which identified that 78.9% of the significant probe sets contained at least one CpG island in the gene promoter region compared with 58.9% of the remaining genes examined. Our results indicate that further high-throughput methylation studies to more fully characterize molecular events involved in hepatocarcinogenesis are warranted.