Miracle-dz/UniFAR-FTUs huggingface dataset:
Study on Method of Emotion Recognition of Speech based on Simulated Annealing Genetic Algorithm and Support Vector Machine

With increasing interest in human-computer interaction, emotion recognition is becoming a hot spot. Support vector machine(SVM) is a machine learning algorithm based on statistic learning theory, finding the optimal separating hyperplane in the high dimensional feature space, having good classification and generalization ability. According to SVM method becoming very difficult for large data scale, this paper proposes a feature selection method based on simulated annealing genetic algorithm. This method let simulated annealing genetic algorithm embed into the loop body of the adaptive genetic algorithm, Using simulated annealing algorithm with a strong local search ability, and it can make searching process avoid falling into the local optimal solution, solving the problem of basic genetic algorithm having slow convergence and high time complexity. The experiments showed that this method can significantly improve speech emotion recognition performance.
Bayesian Optimization in Interactive Scientific Search

Researchers must navigate big data. Current scientific knowledge includes 50 million published articles. How can a system help a researcher find relevant documents in her field? The key is to model the researcher’s information need, and use Bayesian optimization to interactively improve the model. We introduce IntentRadar, an interactive search user interface and search engine that anticipates user’s search intents by estimating them form user’s interaction with the interface. The system emphasizes feedback options according to Bayesian optimization based estimates, to encourage user feedback on the most promising options. To do this, the estimated intents are visualized on a radial layout that organizes potential intents as directions in the information space. The intent radar assists users to direct their search by allowing feedback to be targeted on keywords that represent the potential intents. Users can provide feedback by manipulating the position of the keywords on the radar. The system then learns and visualizes improved estimates and corresponding documents. IntentRadar has been shown to significantly improve users’ task performance and the quality of retrieved information without compromising task execution time. This is a short version of our previous work [6], focusing on use of Bayesian optimization within the system.
Increased thromboxane biosynthesis is associated with poststroke dementia.

BACKGROUND AND PURPOSE It has been suggested that daily intake of aspirin is associated with a reduction of cognitive decline, both in normal and in demented subjects, but the mechanism is unclear. We have therefore studied the relationship between thromboxane (TX) A(2) biosynthesis, as reflected by the urinary excretion of 11-dehydro-TXB(2), and the presence of dementia in patients after acute stroke. METHODS Patients from the Rotterdam Stroke Databank were screened for dementia between 3 and 9 months after stroke. Patients had a full neurological examination, neuropsychological screening, and, if indicated, extensive neuropsychological examination. Criteria used for the diagnosis of dementia were from the Diagnostic and Statistical Manual of Mental Disorders, Third Edition (Revised). Urine samples were taken at the time of screening. Urinary 11-dehydro-TXB(2) was measured by means of a previously validated radioimmunoassay. RESULTS Dementia was diagnosed in 71 patients, and urine samples were available for 62. Median value (range) of 11-dehydro-TXB(2) was 399 (89 to 2105) pmol/mmol creatinine for demented patients versus 273 (80 to 1957) for 69 controls with stroke but without dementia (P=0.013). No difference was found between 44 patients with vascular dementia, 404 (89 to 2105) pmol/mmol creatinine, and 18 patients with Alzheimer's disease plus cerebrovascular disease, 399 (96 to 1467) pmol/mmol creatinine (P=0.68). In a stepwise logistic regression analysis, in which possible confounders such as use of antiplatelet medication, cardiovascular risk factors, and type of stroke were taken into account, increased urinary excretion of 11-dehydro-TXB(2) remained independently related to the presence of dementia (OR 1.12, 95% CI 1.03 to 1.22 per 100 pmol/mmol creatinine). The difference in metabolite excretion rates between demented and nondemented patients was most prominent within the subgroup of ischemic stroke patients who received aspirin (P<0.01). CONCLUSIONS Increased thromboxane biosynthesis in the chronic phase after stroke is associated with the presence of but not the type of poststroke dementia. It is particularly apparent in patients on aspirin, thereby suggesting the involvement of extraplatelet sources of TXA(2) production in this setting.
Task Migration for Dynamic Power and Performance Characteristics on Many-Core Distributed Operating Systems

Spatial locality of task execution will become more important on future hardware platforms since the number of cores are steadily increasing. The large amount of cores requires more intelligent power management due to the notion of spatial locality, and the high chip density requires an increased thermal awareness in order to avoid thermal hotspots on the chip. At the same time, high performance of the CPU is only achieved by parallelizing tasks over the chip in order to fully utilize the hardware. This paper presents a task migration mechanism for distributed operating systems running on many-core platforms. In this work, we evaluate the performance and energy efficiency of an implemented task migration mechanism. This is shown by parallelizing tasks as the performance of a single core is not sufficient, and by collecting tasks to as few cores as possible as CPU load is low. The task migration mechanism is implemented as a library for FreeRTOS using 1300 lines of code, and introduced a total task migration overhead of 100 ms on a shared memory platform. With the presented task migration mechanism, we intend to improve the dynamism of power and performance characteristics in distributed many-core operating systems.
CTH15-5: Rate Adaptation for Cooperative Systems

Throughput is an important performance measure for data communications over wireless links. In this work, we consider joint adaptation of coding rates, modulation modes and level of cooperation for cooperative relaying to maximize the data throughput. We consider five different schemes with joint adaptation based on channel statistics: Direct transmission, conventional multihop, stationary and dynamic coded cooperation, cooperative multihop. We first obtain closed form expressions for the throughputs achieved by these schemes. Considering channel coding and modulation schemes used in wireless local area standard (WLAN) IEEE 802.11, we then compute the best throughputs and provide performance comparisons. Our results show that coded cooperation with adaptation provides substantial improvement over direct transmission and conventional multi- hop. Cooperative multihop enables further improvements over coded cooperation by fully exploiting cooperative diversity as well as rate adaptation and achieves the highest throughput performance among these five transmission schemes. We also observe that to maximize the data throughput in direct transmission and conventional multihop, adaptation for each hop only depends on the channel quality from the transmitter to the receiver. However, in cooperative strategies a system wide optimization is necessary.
Using Monolingual Clickthrough Data to Build Cross-lingual Search Systems

A major portion of the World Wide Web(WWW) is still dominated by a few languages, with English being on the top. Monolingual information retrieval systems have been setup for such languages and are widely in use. To cater to a wider and diverse language speaking web users, we need Cross Lingual Information Retrieval (CLIR) systems that are capable of receiving a query in one language and returning results from a different language. To our knowledge not much work has been done in creating CLIR systems on the WWW. This is partly due to the unavailability of bilingual resources required for a major portion of the languages that are still a minority language in terms of the documents present on the WWW. Another important reason being the time and effort required to create a practical and useful CLIR system. In this paper, we address the problem of creating CLIR systems for language pairs in which the source language is a minority language and the target language is a majority language with existing search engines. We use clickthrough data from a monolingual search engine to learn translation models that could be used to perform cross lingual search. This approach has enabled us to generate practical CLIR systems on a large scale with less effort and with bilingual resources. We experiment and report the evaluation of our approach by creating CLIR systems for an Indian language and a few other European Languages.
ColorCAT: Guided Design of Colormaps for Combined Analysis Tasks

Colormap design is challenging because the encoding must match the requirements of data and analysis tasks as well as the perception of the target user. A number of well-known tools exist to support the design of colormaps. ColorBrewer [HB03], for example, is a great resource to select colors for qualitative, sequential, and diverging data. PRAVDAColor [BRT95] and Tominski et al. [TFS08], for example, provide valuable guidelines for single analysis tasks such as localization, identification, and comparison. However, for solving real world problems in most practical applications, single elementary analysis tasks are not sufficient but need to be combined. In this paper, we propose a methodology and tool to design colormaps for combined analysis tasks. We define color mapping requirements and develop a set of design guidelines. The visualization expert is integrated in the design process to incorporate his/her design requirements, which may depend on the application, culture, and aesthetics. Our ColorCAT tool guides novice and expert designers through the creation of colormaps and allows the exploration of the design space of color mapping for combined analysis tasks.
La Ciencia de la Información y la internacionalización de la Educación Superior

Con el proposito de explorar como se manifiestan las relaciones entre la Ciencia de la Informacion y los procesos de internacionalizacion de la Educacion Superior se realiza un analisis de la produccion cientifica publicada hasta el 2015, a traves de tecnicas bibliometricas y documentales. Los resultados muestran un crecimiento de la produccion sobre el tema, fundamentalmente a partir del 2005, en consonancia con el crecimiento de la produccion cientifica general sobre internacionalizacion. Predominan los trabajos de autores de Estados Unidos, Australia y Europa, y se observan agrupamientos bien delimitados de autores y revistas segun subtematicas. Se identifican tres dimensiones fundamentales de relacion entre la Ciencia de la Informacion y la internacionalizacion de la educacion superior: 1) la contribucion de las bibliotecas universitarias a la internacionalizacion del campus a traves de la adaptacion y personalizacion de los servicios y colecciones a estudiantes internacionales y multiculturales y el apoyo a programas y servicios de educacion transnacional, 2) la internacionalizacion de las escuelas y programas de educacion en Ciencia de la Informacion, influida fundamentalmente por el Proceso de Bolona y 3) la internacionalizacion de la investigacion que se produce y publica en esta disciplina, a traves del aumento de la coautoria y la cooperacion institucional.
Household Earnings and Consumption: A Nonlinear Framework

We develop a flexible framework to study the nonlinear relationship between shocks to household earnings and consumption over the life cycle. Log-earnings are the sum of a general Markovian persistent component and a transitory innovation. Consumption is modelled as an age-dependent nonlinear function of assets and the two earnings components. We establish the nonparametric identification of the earnings process and the consumption rule, and apply quantile-based methods for estimation. Exploiting the enhanced consumption and asset data in the PSID for 1999-2009, we find the impact of earnings shocks varies substantially across households’ earnings histories, and that this nonlinearity drives heterogeneous consumption responses. We also find that the insurability of earnings shocks is higher late in the life-cycle, and that assets play an important role.
Effects of dexamethasone and Salvia miltiorrhiza on multiple organs in rats with severe acute pancreatitis

ObjectiveTo investigate the protective effects and mechanisms of action of dexamethasone and Salvia miltiorrhiza on multiple organs in rats with severe acute pancreatitis (SAP). MethodsThe rats were divided into sham-operated, model control, dexamethasone treated, and Salvia miltiorrhiza treated groups. At 3, 6, and 12 h after operation, the mortality rate of different groups, pathological changes, Bcl-2-associated X protein (Bax) and nuclear factor-κB (NF-κB) protein expression levels in multiple organs (the pancreas, liver, kidneys, and lungs), toll-like receptor 4 (TLR-4) protein levels (only in the liver), intercellular adhesion molecule 1 (ICAM-1) protein levels (only in the lung), and terminal deoxynucleotidy transferase mediated deoxyuridine triphosphate (dUTP) nick end labeling (TUNEL) staining expression levels, as well as the serum contents of amylase, glutamate-pyruvate transaminase (GPT), glutamic-oxaloacetic transaminase (GOT), blood urea nitrogen (BUN), and creatinine (CREA) were observed.ResultsThe mortality rate of the dexamethasone treated group was significantly lower than that of the model control group (P<0.05). The pathological changes in multiple organs in the two treated groups were relieved to different degrees (P<0.05 and P<0.01, respectively), the expression levels of Bax and NF-κB proteins, and apoptotic indexes of multiple organs were reduced (P<0.05 and P<0.01, respectively). The contents of amylase, GPT, GOT, BUN, and CREA in the two treated groups were significantly lower than those in model control groups (P<0.05 and P<0.01, respectively). The expression level of ICAM-1 protein in the lungs (at 3 and 12 h) in the dexamethasone treated group was significantly lower than that in the Salvia miltiorrhiza treated group (P<0.05). The serum contents of CREA (at 12 h) and BUN (at 6 h) of the Salvia miltiorrhiza treated group were significantly lower than those in the dexamethasone treated group (P<0.05). ConclusionsBoth dexamethasone and Salvia miltiorrhiza can reduce the inflammatory reaction, regulate apoptosis, and thus protect multiple organs of rats with SAP.
XMM-Newton observations of the interacting galaxy pairs NGC 7771/0 and NGC 2342/1

We present XMM‐Newton X-ray observations of the interacting galaxy pairs NGC 7771/7770 and NGC 2342/2341. In NGC 7771, for the first time we are able to resolve the X-ray emission into a bright central source plus two bright (L X > 10 40 erg s −1 ) ultraluminous X-ray sources (ULXs) located either end of the bar. In the bright central source (L X ∼ 10 41 erg s −1 ), the soft emission is well-modelled by a two-temperature thermal plasma with kT = 0.4/0.7 keV. The hard emission is modelled with a flat absorbed power-law (� ∼ 1.7, N H ∼ 10 22 cm −2 ), and this together with a low-significance (1.7σ ) ∼ 300 eV equivalent width emission line at ∼6 keV are the first indications that NGC 7771 may host a low-luminosity AGN. For the bar ULXs, a power-law fit to X-1 is improved at the 2. 5σ level with the addition of a thermal plasma component (kT ∼ 0.3 keV), while X-2 is improved only at the 1. 3σ level with the addition of a disc blackbody component with T in ∼ 0.2 keV. Both sources are variable on short time-scales implying that their emission is dominated by single accreting X-ray binaries (XRBs). The three remaining galaxies, NGC 7770, NGC 2342 and NGC 2341, have observed X-ray luminosities of 0.2, 1.8 and 0.9 × 10 41 erg s −1 , respectively (0.3‐10 keV). Their integrated spectra are also well-modelled by multi-temperature thermal plasma components with kT = 0.2‐0.7 keV, plus power-law continua with slopes of � = 1.8‐2.3 that are likely to represent the integrated emission of populations of XRBs as observed in other nearby merger systems. A comparison with other isolated, interacting and merging systems shows that all four galaxies follow the established correlations for starburst galaxies between X-ray, far-infrared and radio luminosities, demonstrating that their X-ray outputs are dominated by their starburst components.
Influence Without Confidence: Upper Chambers and Government Formation

In most parliamentary democracies, governments must maintain the confidence of the lower chamber only. But in bicameral parliaments, upper chambers can affect the fortunes of government policy proposals. Recent work shows that parliamentary governments that lack control over the upper house also tend to collapse sooner than those with upper house majorities. In this paper, we show that coalition builders anticipate the importance of upper chamber status (majority or minority) in making their formation decisions. Controlling for a host of "usual suspect" variables concerning the institutional, ideological, and partisan context of coalition building, and examining 15,590 potential governments in 129 bargaining situations, we find that potential coalitions that control upper house majorities are significantly more likely to form than are those with upper house minorities. Our findings are important for students of bicameralism, government formation, institutions, and, perhaps most significantly, for those who study policy making in parliamentary democracies.
D G ] 2 2 Se p 20 01 Metrics of positive Ricci curvature on bundles

We construct new examples of manifolds of positive Ricci curvature which, topologically, are vector bundles over compact manifolds of almost nonnegative Ricci curvature. In particular, we prove that if E is the total space of a vector bundle over a compact manifold of nonnegative Ricci curvature, then E × R admits a complete metric of positive Ricci curvature for all large p .
Mobile agent group communication protocol ensuring causal order semantics

Mobile agent group concept is a versatile software paradigm capable of providing group task execution flexibility and collaborative adaptability in various application fields of distributed networked systems. However, as the size of these fields is rapidly increasing, improving the performance of the agent group communication in Internet-scale infrastructures should be reconsidered to be suitable for their scale. For this purpose, some appropriate inter-agent group communication protocols are required in distributed agent-based systems. Causal order delivery to a broadcast group is a very important issue for these systems. However, the existing message delivery protocols for mobile agent groups may not satisfy this important requirement. This paper presents a new causally ordered group communication protocol for mobile agent groups to consider weaker message ordering consistency than atomic broadcast semantics while ensuring reliability even with the assumption of unreliable networks for exchanging messages to agent groups and agent mobility. The simulation results show the proposed protocol performs better than the existing atomic broadcast protocol in terms of the total message delivery latency.
ORGANIZATION AND FUNCTIONING OF THE SYSTEM OF LOGOPEDIC CARE IN POLAND

This article deals with the problem of providing logopedic care (speech therapy) in Poland. Disturbances of speech, which occur in ca. 20% of the population of early school-age children, is a serious social problem in this country. This review sets out to discuss the causes behind these statistics, which have remained relatively high over a long period of time now. The article also presents some organizational and legal solutions aimed at solving or at least mitigating the problems, and discusses the system of providing specialist education for teachers, as well as the directions along which changes are being implemented in the field of the logopedic care provided in Poland for children with disturbances of speech.
A 0-1 Program for Minimum Clustering in Downlink Base Station Cooperation

Base station cooperation in the downlink of cellular systems has been recently suggested as a promising concept towards a better exploitation of the communication system physical resources. It may offer a high gain in capacity through interference mitigation. This however, comes at a cost of high information exchange between cooperating entities and a high computational burden. Clustering of base stations into subgroups is an alternative to guarantee such cooperation benefits in a lower scale. The optimal definition of clusters, however, and a systematic way to find a solution to such problem is not yet available. In this work, we highlight the combinatorial nature of the problem, exploit this to describe the system of users and base stations as a graph and formulate a pure 0-1 program. Its solution suggests a cost optimal way to form clusters and assign user subsets to them.
Regression using independent component analysis, and its connection to multi-layer perceptrons

The data model of independent component analysis (ICA) gives a multivariate probability density that describes many kinds of sensory data better than classical models like Gaussian densities or Gaussian mixtures. When only a subset of the random variables is observed, ICA can be used for regression, i.e. to predict the missing observations. We show that the resulting regression is closely related to regression by a multi-layer perceptron (MLP). In fact, if linear dependencies are first removed from the data, regression by ICA is, as a first-order approximation, equivalent to regression by MLP. This result gives a new interpretation of the elements of the MLP: the outputs of the hidden layer neurons are related to estimates of the values of the independent components, and the sigmoid nonlinearities are obtained from the probability densities of the independent components.
Formalizing correspondence rules for automotive architecture views

Architecture views have long been used in software industry to systematically model complex systems by representing them from the perspective of related stakeholder concerns. However, consensus has not been reached for the architecture views between automotive architecture description languages and automotive architecture frameworks. Therefore, this paper presents the automotive architecture views based on an elaborate study of existing automotive architecture description techniques. Furthermore, we propose a method to formalize correspondence rules between architecture views to enforce consistency between architecture views. The approach was implemented in a Java plugin for IBM Rational Rhapsody and evaluated in a case study based on the Adaptive Cruise Control system. The outcome of the evaluation is considered to be a useful approach for formalizing correspondences between different views and a useful tool for automotive architects.