Miracle-dz/UniFAR-FTUs huggingface dataset:
Tradinnova-LCS: Dynamic stock portfolio decision-making assistance model with genetic based machine learning

This paper describes a decision system based on rules for the management of a stock portfolio using a mechanism of dynamic learning to select the stocks to be incorporated. This system simulates the intelligent behavior of an investor, carrying out the buying and selling of stocks, such that during each day the best stocks will be selected to be incorporated in the portfolio by reinforcement learning with genetic programming. The system has been tested in 3 time periods (1 year, 3 years and 5 years), simulating the purchase/sale of stocks in the Spanish continuous market and the results have been compared with the revaluations obtained by the best investment funds operating in Spain.
Capabilities-Based Query Rewriting in Mediator Systems ( extendedversion )

Users today are struggling to integrate a broad range of information sources that provide diierent levels of query capabilities. Currently, data sources with diierent and limited capabilities are accessed either by writing rich functional wrappers for the more primitive sources, or by dealing with all sources at a "lowest common denominator". This paper explores a third approach, in which a mediator ensures that sources receive queries they can handle, while still taking advantage of all the query power of the source. We propose an architecture that enables this, and identify a key component of that architecture, the Capabilities-Based Rewriter (CBR). We provide a language to describe the query capability of data sources. The CBR takes as input a description of each data sources' capability. Given a query posed to the mediator, the CBR determines the component queries to be sent to the sources, commensurate with their abilities. It also computes a plan for combining the results of the component queries using joins, unions, selections, and projections. Our description language and plan generation algorithm are schema independent and handle SPJ queries.
Extremely metal-poor star-forming galaxies. New detections and general morphological and photometr

Context. Extremely metal-deficient [12 + log(O/H) ≤ 7.6] emission-line galaxies in the nearby universe are invaluable laboratories of extragalactic astronomy and observational cosmology since they allow us to study collective star formation and the evolution of galaxies under chemical conditions approaching those in distant protogalactic systems. However, despite intensive searches over the last three decades, nearby star-forming (SF) galaxies with strongly subsolar metallicity remain extremely scarce. Aims. We searched the Sloan Digital Sky Survey (SDSS) and the Six-Degree Field Galaxy Redshift Survey (6dFGRS) for promising low-metallicity candidates using a variety of spectroscopic criteria. Methods. We present long-slit spectroscopy with the 3.6 m ESO telescope of eight Hll regions in seven emission-line dwarf galaxies, selected from the Data Release 4 of SDSS (six galaxies) and from 6dFGRS (one galaxy). In addition, we use SDSS imaging data to investigate the photometric structure of the sample galaxies. Results. From the 3.6 m telescope spectra, we determine the oxygen abundance of these systems to be 7.3 ≤ 12 + log(O/H)≤7.6, placing them among the most metal-poor star-forming galaxies ever discovered. Our photometric analysis reveals a moderately blue, stellar host galaxy in all sample galaxies. Conclusions. The detection of a stellar host in all galaxies studied here and all previously studied extremely metal-deficient SF galaxies implies that they are unlikely to be forming their first generation of stars. With regard to the structural properties of their host galaxy, we demonstrate that these systems are indistinguishable from blue compact dwarf (BCD) galaxies. However, in contrast to the majority (>90%) of BCDs that are characterised by red elliptical host galaxies, extremely metal-poor SF dwarfs (hereafter XBCDs) reveal moderately blue and irregular hosts. This is consistent with a young evolutionary status and in the framework of standard star formation histories implies that several XBCDs formed most of their stellar mass in the past ∼2 Gyr. A large fraction of XBCDs reveal a cometary morphology due to the presence of intense SF activity at one edge of an elongated host galaxy with a gradually decreasing surface brightness towards its antipodal end.
Measurement-based peer-to-peer grouping for networked virtual environment

Networked games are newly emerging and increasing applications in the Internet community. Multiplayer online game (MOG) is one of such applications that can accommodate many users simultaneously. To realize MOGs in a distributed peer-to-peer environment, we propose a novel topology construction scheme that maps each player's coordinate in the real-world network to the coordinate in a virtual plane. The main features of our scheme are two-stage placement of a node: rough estimation and refinement. We also propose a key idea of super nodes in order to achieve scalability and efficiency. This paper describes the system design of our scheme.
Efficacy of an internet-based self-help intervention to reduce co-occurring alcohol misuse and depression symptoms in adults: study protocol of a three-arm randomised controlled trial

Introduction In the general population, alcohol use disorder and depression more often occur together than any other combination of a mental illness with a substance use disorder. It is important to have a cost-effective intervention that is able to reach at-risk individuals in the early stages of developing alcohol use disorders and depression disorders. Methods and analysis This paper presents the protocol for a 3-arm multicentre randomised controlled trial (RCT) to test the efficacy and cost-effectiveness of the combined internet-based self-help intervention Take Care of You (TCOY) to reduce alcohol misuse and depression symptoms in comparison with a waiting list control group and a comparable intervention focusing on problematic alcohol use only. The active interventions consist of modules designed to reduce alcohol use, based on the principles of motivational interviewing and methods of cognitive behavioural therapy, together with additional modules in the combined study arm to reduce symptoms of depression. Data will be collected at baseline, as well as at 3 and 6 months postrandomisation. The primary outcome is the quantity of alcohol used in the past 7 days. A number of secondary outcome measures will be studied. These include the Centre of Epidemiologic Studies of Depression Scale (CES-D) and a combined measure with the criteria of values below the cut-off for severe alcohol use disorder and for CES-D. Data analysis will follow the intention-to-treat principle using (generalised) linear mixed models. In order to investigate the interventions’ cost-utility and cost-effectiveness, a full economic evaluation will be performed. Ethics and dissemination This RCT will be executed in compliance with the Helsinki Declaration and has been approved by 2 local Ethics Committees. Results will be reported at conferences and in peer-reviewed publications. Participant-friendly summaries of trial findings will be published on the TCOY websites. Trial registration number ISRCTN10323951.
FPGA Implementation of STBC Based Cooperative Relaying System

Multihop network is an approach utilizing distributed wireless stations for relaying. In this system, area size, coverage and total transmit power efficiency can be improved. It is shown by computer simulations that the cooperative relaying scheme provides transmit diversity effect, and can offer much better performance compared with that of non-cooperation case. To confirm this superior performance in actual environments, field trials using real time communication equipments are now being planned. This paper reports the design and the performance of wireless equipments for field trials.
The Isosteroid Alkaloid Imperialine from Bulbs of Fritillaria cirrhosa Mitigates Pulmonary Functional and Structural Impairment and Suppresses Inflammatory Response in a COPD-Like Rat Model

Chronic obstructive pulmonary disease (COPD) is the third leading cause of death in the world. Present therapies for COPD have limited effect on reducing the progression of COPD and suppressing the inflammatory response in the lung. Bulbs of Fritillaria cirrhosa D. Don (BFC) have been used in many Asian countries for a long time to treat pulmonary diseases, such as cough, expectoration, and asthma. Steroidal alkaloids are the major biological active constituents in BFC, whereby imperialine is one of the important steroidal alkaloids. So far, there are no studies reporting the effect of imperialine on COPD. In this study, we investigated the effect of imperialine on pulmonary function and structure and inflammation in a COPD-like rat model which was induced by the combination of exposure to CS and intratracheal administration of LPS. Our data show that imperialine mitigates pulmonary functional and structural impairment and suppressed inflammatory response in a COPD-like rat model by mediating expression of related cytokines in lung tissues of the COPD-like rats, such as IL-1β, IL-6, IL-8, TNF-α, NF-κB, TGF-β1, MMP-9, and TIMP-1.
Finding 1-Factors in Bipartite Regular Graphs and Edge-Coloring Bipartite Graphs

This paper gives a new and faster algorithm to find a 1-factor in a bipartite $\Delta$-regular graph. The time complexity of this algorithm is ${\cal O}(n \Delta + n \log n \log \Delta)$, where $n$ is the number of nodes. This implies an ${\cal O}(n \log n \log \Delta + m \log \Delta)$ algorithm to edge-color a bipartite graph with n nodes, m edges, and maximum degree $\Delta$. \\
Assessing linguistic behaviour : A study of value judgements

En se basant sur les intuitions de locuteurs anglais recueillies grâce a un questionnaire, l'A. tente de determiner dans quelle mesure les metaphores conventionnalisees refletent des evaluations positives ou negatives de certains aspects du comportement linguistique. Il montre que l'expression des jugements de valeur est systematique et que la plupart du temps ils sont negatifs. Il examine ensuite les domaines source typiquement utilises pour l'expression des jugements de valeur, il clarifie le role du schema d'image de l'echelle dans les evaluations de l'(inter)action langagiere, et il evalue la pertinence de la dichotomie independance vs dependance au contexte dans les jugements de valeur
A reward based method to wireless sensor network clustering

Prolonged network lifetime, scalability, and load balancing are important requirements for many ad-hoc sensor network applications. Clustering sensor nodes is an effective technique for achieving these goals. In this w ork, we propose a new energy-efficient approach for clustering nodes in ad-hoc sensor networks. Based on this approach, we present an algorithm, RCA (Reward based Clustering Algorithm) that periodically selects cluster heads by learning methods on the basis of their residual energy parameters and the number of members in previous process. their residual energy and. RCA does not make any assumptions about the distribution or density of nodes, or about node capabilities, e.g., location-awareness. The clustering process terminates in O(1) iterations, and does not depend on the netw ork topology or size. The algorithm incurs low overhead in terms of processing cycles and messages exchanged. It also achieves fairly uniform cluster head distribution across the network. RCA is able to distribute energy dissipation evenly throughout the sensors, doubling the useful system lifetime for the networks we simulated. Our simulation results demonstrate that RCA has better efficiency than other clustering algorithms. W e also apply our approach to a simple application to demonstrate its effectiveness in prolonging the network lifetime and supporting data aggregation.
Entrepreneurship and Economic Growth: An Obvious Conjunction?

This paper consists of an introductory survey of two fundamental questions regarding the link between entrepreneurship and economic growth. The first one deals with the endogenous relationship between entrepreneurship and growth. In particular, we suggest that, while more entrepreneurship could mean more economic growth, economic growth in turn could affect the individual arbitrage between different professional occupations (including entrepreneurship) and expected payoffs. The second question is concerned with the types of activities to which the individual directs his talents. We distinguish between entrepreneurship and rent-seeking. The impact on economic growth is assessed in static and dynamic frameworks.
TONI BLANK: A CASE STUDY OF THE LANGUAGE OF A SCHIZOPHRENE

Schizophrenia is one of the chronic mental disorders. Patients of schizophrenia cannot communicate with others properly. Also, they cannot produce good utterances syntactically and semantically. This is caused by their language dysfunction. In this research, I am interested in analyzing language dysfunction in schizophrenia. I choose Toni Blank‟s utterances in “Toni Blank Show Session One” as the object of my research. I focus on how schizophrenic‟s language dysfunctions are classified and how these dysfunctions are being analyzed using linguistic framework. To analyze the data, I used Thought, Language, and Communication (TLC) scale and cohesion coherence frameworks. The purpose of this study is to give linguistic analysis about phenomena of language dysfunctions uttered by Toni Blank in “Toni Blank Show Session One”. The data used in this research are utterances which contain language dysfunctions from three episodes in “Toni Blank Show Session One”, entitled “Valentine Day”, “Teroris”, and “Sehat Ala Mas Toni”. I used purposive sampling to collect the data. In analyzing the data, I used Padan and Agih methods by Sudaryanto (1993). To interpret the data, I used cohesion and coherence framework. In 26 utterances which contain schizophrenic‟s language dysfunctions in “Toni Blank Show Session One”, I find that the language dysfunctions which are uttered by Toni are poverty of content, tangentiality, loss of goal, circumstantiality, illogicality, incoherence (word salad), neologism, clanging, echolalia, and self-reference. Poverty of speech, pressure of speech, distractibility, derailment, stilted speech, perseveration, and blocking are not found in the data.
Specification of Regions of DNA Replication Initiation during Embryogenesis in the 65-KilobaseDNApolα-dE2F Locus of Drosophila melanogaster

ABSTRACT In the early stage of Drosophila embryogenesis, DNA replication initiates at unspecified sites in the chromosome. In contrast, DNA replication initiates in specified regions in cultured cells. We investigated when and where the initiation regions are specified during embryogenesis and compared them with those observed in cultured cells by two-dimensional gel methods. In the DNA polymerase α gene (DNApolα) locus, where an initiation region,oriDα, had been identified in cultured Kc cells, repression of origin activity in the coding region was detected after formation of cellular blastoderms, and the range of the initiation region had become confined by 5 h after fertilization. During this work we identified other initiation regions between oriDα and the Drosophila E2F gene (dE2F) downstream of DNApolα. At least four initiation regions showing replication bubbles were identified in the 65-kbDNApolα-dE2F locus in 5-h embryos, but only two were observed in Kc cells. These results suggest that the specification levels of origin usage in 5-h embryos are in the intermediate state compared to those in more differentiated cells. Further, we found a spatial correlation between the active promoter regions fordE2F and the active initiation zones of replication. In 5-h embryos, two known transcripts differing in their first exons were expressed, and two regions close to the respective promoter regions for both transcripts functioned as replication origins. In Kc cells, only one transcript was expressed and functional replication origins were observed only in the region including the promoter region for this transcript.
Variable Properties in a Single Class of Excitatory Spinal Synapse

Although synaptic properties are specific to the type of synapse examined, there is evidence to suggest that properties can vary in individual synaptic populations. Here, a large sample of monosynaptic connections made by excitatory interneurons (EINs) onto motor neurons in the lamprey spinal cord locomotor network has been used to examine the properties of a single class of spinal synapse in detail. The properties and activity-dependent plasticity of EIN-evoked EPSPs varied considerably. This variability occurred at convergent inputs made by several EINs onto single motor neurons. This suggests that it was an intrinsic network property and not simply related to differences between animals or experiments. The activity-dependent plasticity of EIN-evoked EPSPs could be negatively or positively related to the initial EPSP amplitude (P1 and P2 connections, respectively). This reflected the development of facilitation and depression from either small or large initial EPSPs. To identify differences in presynaptic properties that could contribute to the synaptic variability, the quantal amplitude, release probability, number of release sites, and size of the available vesicle pool were examined. This analysis suggested that the variable amplitude and plasticity of EPSPs at P1 and P2 connections reflected an interaction between the release probability and the size of the available transmitter store. There is thus significant functional variability in EIN synaptic properties. Synapses ranged from strong (evoked postsynaptic spikes) to weak (small depressing EPSPs). The selection of interneurons with different synaptic properties could provide an intrinsic mechanism for modifying excitatory network interactions and the locomotor network output.
Convergent multiple-timescales reinforcement learning algorithms in normal form games

We consider reinforcement learning algorithms in normal form games. Using two-timescales stochastic approximation, we introduce a model-free algorithm which is asymptotically equivalent to the smooth fictitious play algorithm, in that both result in asymptotic pseudotrajectories to the flow defined by the smooth best response dynamics. Both of these algorithms are shown to converge almost surely to Nash distribution in two-player zero-sum games and N -player partnership games. However, there are simple games for which these, and most other adaptive processes, fail to converge--in particular, we consider the N -player matching pennies game and Shapley's variant of the rock--scissors--paper game. By extending stochastic approximation results to multiple timescales we can allow each player to learn at a different rate. We show that this extension will converge for two-player zero-sum games and two-player partnership games, as well as for the two special cases we consider.
Research of topology-based fingerprint matching algorithm

The core point of each fingerprint is unique, with abundant information. While core point does not exist, such as the arch class fingerprint, use pseudo-core point instead. Therefore, start with core point, each minutia is defined by the topological relationship which consisted of its neighbor minutiae. Then compare each minutia recursively outward. The proposed approach makes full use of center area of fingerprint, and avoids meaningless matching of minutiae in the edge area. Hence, it has better performance in operation efficiency. The experimental trials have been conducted on FVC2004 databases.
Study on Access Control System Based on Face Recognition

In this paper, based on face recognition, the core algorithm is studied, which was applied in Access Control System of logistics management industry. This algorithm carries on the SVD and 2DPCA transformation in the face image, which the main characteristic vector of the PCA is fused to form a new one that is taken as the distinction standard. By means of ORL and Yale face database, The recognition rate is up to 87% and 98.9%, respectively. The effectiveness of the proposed face recognition algorithm and its insensitivity to the facial expression, illumination and posture are shown in terms of both the absolute performance indices and the comparative performance against some popular face recognition schemes such as Singular Value decomposition based method. KeywordsAccess Control System; face recognition; feature xtraction; 2DPCA; SVD
Bridging the gap between computation and clinical biology: validation of cable theory in humans

Introduction: Computerized simulations of cardiac activity have significantly contributed to our understanding of cardiac electrophysiology, but techniques of simulations based on patient-acquired data remain in their infancy. We sought to integrate data acquired from human electrophysiological studies into patient-specific models, and validated this approach by testing whether electrophysiological responses to sequential premature stimuli could be predicted in a quantitatively accurate manner. Methods: Eleven patients with structurally normal hearts underwent electrophysiological studies. Semi-automated analysis was used to reconstruct activation and repolarization dynamics for each electrode. This S2 extrastimuli data was used to inform individualized models of cardiac conduction, including a novel derivation of conduction velocity restitution. Activation dynamics of multiple premature extrastimuli were then predicted from this model and compared against measured patient data as well as data derived from the ten-Tusscher cell-ionic model. Results: Activation dynamics following a premature S3 were significantly different from those after an S2. Patient specific models demonstrated accurate prediction of the S3 activation wave, (Pearson's R2 = 0.90, median error 4%). Examination of the modeled conduction dynamics allowed inferences into the spatial dispersion of activation delay. Further validation was performed against data from the ten-Tusscher cell-ionic model, with our model accurately recapitulating predictions of repolarization times (R2 = 0.99). Conclusions: Simulations based on clinically acquired data can be used to successfully predict complex activation patterns following sequential extrastimuli. Such modeling techniques may be useful as a method of incorporation of clinical data into predictive models.
Polymorphic type inference for the named nested relational calculus

The named nested relational calculus is the canonical query language for the complex object database model and is equipped with a natural static type system. Given an expression in the language, without type declarations for the input variables, there is the problem of whether there are any input type declarations under which the expression is well-typed. Moreover, if there are, then which are they, and what is the corresponding output type for each of these? This problem is solved by a logic-based approach, and the decision problem is shown to be NP-complete.
Determinism vs. Nondeterminism in Multiparty Communication Complexity

A given Boolean function has its input distributed among many parties. The aim is to determine which parties to talk to and what information to exchange in order to evaluate the function while minimizing the total communication. This paper shows that it is possible to evaluate the Boolean function deterministically with only a polynomial increase in communication and number of parties accessed with respect to the information lower bound given by the nondeterministic communication complexity of the function.