Miracle-dz/UniFAR-FTUs huggingface dataset:
Efecto de la relación semántica entre dibujos en producción del habla

Se presentan tres experimentos en que se manipula la relacion semantica entre pares de dibujos primetarget para investigar el procesamiento semantico y lexico en produccion del habla. En el Experimento 1 la relacion entre prime-target no afecto la denominacion de dibujos. Sin embargo, los dibujos primes relacionados facilitaron la categorizacion de dibujos objetivo (Experimento 2). Esta facilitacion se obtuvo de nuevo en denominacion de dibujos cuando los participantes recibian instrucciones para procesar semanticamente el material (Experimento 3). El patron de resultados se discute en torno a los modelos de produccion del lenguaje, a las diferencias en el orden de acceso segun la modalidad de los estimulos y al efecto de interferencia palabra-dibujo. Effect of the semantic relation between pictures in language production. Three experiments are reported for assessing semantic and lexical processes in speech production. The semantic relation between prime and target pictures was manipulated. In Experiment 1, we failed to find semantic effects in a picture naming task. However, related picture primes produced faster responses in a categorization task (Experiment 2). This facilitation effect was obtained again in a naming task in which semantic processing was encouraged (Experiment 3). Results are discussed in the context of language production models. In addition, results are compared with those obtained with word primes in stroop-like and priming paradigms.
Continuous microwave enhances the healing process of septic and aseptic wounds in rabbits.

Evidence indicates that local application of continuous microwave (CM) has positive effects, for instance, on skin grafts and white blood cells. To investigate the role of CM on local wound healing under different conditions (septic and aseptic), a study was performed in an animal model. Seventy-two rabbits were randomly assigned to four groups of 18 each: group 1 and group 2 consisted of animals with aseptic wounds, and group 3 and group 4 consisted of animals with infected wounds. In the medial third of the dorsolateral body of each animal a wound was prepared under local anesthesia. Animals of groups 1 and 3 received CM treatment, and those of groups 2 and 4 served as controls. The treatment consisted of an irradiation with CM (fixed frequency 37 GHz, power flow density 1 mW/cm2) for 30 min once per day for 5 (group 1) or 7 days (group 3). No other conservative or surgical methods were applied. Aseptic wounds were covered with a sterile dressing. Infected wounds of controls (group 4) were irrigated with 10% NaCl once a day. Measurements were visual analysis, planimetric, bacterial, and immunological tests. The wound surface of treated animals with aseptic wounds became dry and plicated faster, the daily decrease of the wound surface area being more than twice as large as that in the control group (group 2, P < 0.05). Complete epithelization and adhesion of wounds appeared around Day 19 (95% Cl, 18.3 to 20.1) in group 3 and around Day 31 (95% Cl, 29.5 to 32.7) in group 4. (ABSTRACT TRUNCATED AT 250 WORDS)
Using Financial Assets to Hedge Labor Income Risks: Estimating the Benefits

We characterize the covariance structure between asset returns and labor income shocks for synthetic persons defined in terms of sex, education and birth cohort. The correlation of income shocks with both aggregate and own-industry equity returns tends to rise with educational attainment and, surprisingly, is negative for several sex-education groups. We then develop a tractable equilibrium life-cycle model with incomplete markets. We implement the model using the estimated covariance structure and other data in order to evaluate the portfolio choice and welfare implications of hedging with financial assets. There are large equilibrium risk-sharing gains from trading a ”full menu” of group-level assets, exceeding 15,000 dollars in present value for many persons, and a single asset can generate sizable gains for certain demographic groups. The hedging motive has significant consequences for the structure of the optimal portfolio.
A New Mathematical Approach for Pattern Generation

CAD systems are still monolithic and are based on complex geometrical models. Our aim is to implement a new mathematical approach based on fractal geometry integrating the advantage of web technology and providing a novice end-user with an easy- to-use system. In order to get the same performances as a local system, it is necessary to provide our system with adequate data representation aid architecture. This paper presents a framework of web-based system to generate the patterns for ornamental objects. The emphasis of this paper is to outline of methodology and architecture to develop the system, which depends on classifying the elements influenced in the conceptual design stage. The proposed system provides as tool for customer to generate design alternatives according to designer"s preferences. Thus the customer can directly explore more alternatives and generate designs with his/her styles from predefined images in the data base of system . Accordingly, to the requirement of customer , the whole system regenerate the designs using the power of macro programming. This whole system will use the power of Web technology and macro programming to generalize the designs.
Bioactive Polyoxygenated Steroids from the South China Sea Soft Coral, Sarcophyton sp

Seven new polyoxygenated steroids (1–7) were isolated together with seven known analogues (8–14) from the South China Sea soft coral, Sarcophyton sp. The structures of the new compounds were identified on the basis of extensive spectroscopic analysis and comparison with reported data. All the steroids are characterized with 3β,5α,6β-hydroxy moiety, displaying carbon skeletons of cholestane, ergostane, gorgostane and 23,24-dimethyl cholestane. In the in vitro bioassay, metabolites exhibited different levels of antimicrobial activity against bacterial species Escherichia coli and Bacillus megaterium, and fungal species Microbotryum violaceum and Septoria tritici. No inhibition was detected towards microalga Chlorella fusca. Preliminary structure-activity analysis suggests that the 11α-acetoxy group may increase both antibacterial and antifungal activities. The terminal-double bond and the cyclopropane moiety at the side chain may also contribute to the bioactivity.
Machine Learning Methods for Demosaicing and Denoising

We have implemented super-resolution techniques such as machine learning methods and solving a least squares problem with a prior to perform demosaicing. These techniques include k-nearest neighbors (KNN), linear regression, and alternating direction method of multipliers with a total variation prior (ADMM TV). For all methods, parameters were optimized to minimize the mean-squared-error (MSE) and maximize the peak signal-to-noise ratio (PSNR). The MSE and PSNR were compared to the results of traditional demosaicing methods, bilinear and Malvar interpolation.
Continuous versus Summative Evaluations of Musical Intensity: A Comparison of Two Methods for Measuring Overall Effect

The primary purpose of the present study was to compare two different methods of measuring subjects' perceptions of overall effect: (1) a record of subjects' ongoing evaluation that is averaged to obtain an overall rating (labeled “continuous') and (2) a single rating of intensity given by subjects at the conclusion of a music excerpt (labeled ”summative“). Subjects were asked to evaluate the level of musical intensity expressed in various music excerpts. We used the term musical intensity as it is commonly understood, that is, to describe an affective perception of music that conveys strong, ardent, or concentrated emotion. Our use of the term does not refer to its physical/acoustical definition. The results illustrate the nonequivalence of subjects' perceptions of overall intensity and mathematical summaries of their perceptions of intensity as recorded while listening. The two different measurement methods evidence extremely high levels of internal consistency; however, in both between- and within-subject comparisons, the summative responses were higher than the continuous response means. It seems reasonable to conclude that subjects' expressions of overall effect are quite consistent between subjects and between replications, but that arithmetic means of subject responses are not equivalent to subjects' ”psychological averages' (i.e., their post hoc perceptions of overall effect), especially with regard to stimuli whose intensity levels change over the course of a given stimulus example.
A Novel Keypoint Detection in Wavelet Pyramid Space

Keypoint detection is important for object recognition, image retrieval, mosaicing etc., and has attracted ample research. In this paper, we propose a novel wavelet-based detector (NWBD) based on the previous researches on keypoint detection. NWBD is performed in wavelet pyramid space, it extracts the local extrema of the energy map computed by intra-scale coefficient product (ISCP) as the candidate keypoint, and then discards some points by Hessian matrix. In the experiments, the novel detector was compared with Harris detector and SIFT detector by the evaluation of repeatability, and it achieved better performance for some scenes in the database provided by Mikolajcyzk and Schmid, such as wall, trees, and graffiti.
The possible contribution of angiitis to the onset of benign paroxysmal positional vertigo (BPPV).

OBJECTIVE The aim was to evaluate the oxidative stress and the angiitis in patients with BPPV. METHOD Patients with benign paroxysmal positional vertigo (BPPV) within 14 days of onset were analyzed. The level of diacron reactive oxygen metabolites (d-ROM) and circulating soluble vascular cell adhesion molecule 1 (VCAM-1), were evaluated. As a treatment the patients were taught to perform the Brandt-Daroff exercise at home by themselves. The prognosis of BPPV, which is measured as the time until the disappearance of positional nystagmus by a physician during the outpatient visit each week, the relation among the level of oxygen metabolites, vascular molecule and the duration until remission were analyzed. RESULTS The patients who required longer time for the disappearance of positional nystagmus showed high d-ROM and VCAM levels, whereas those who required shorter time for remission showed lower d-ROM and VCAM levels. CONCLUSION There is an increased expression of VCAM-1 and d-ROM confirming the existence of an angiitis and supporting the vascular involvement in BPPV. The identification of the high levels of d-ROM and VCAM-1 can open the way to selective pharmacological treatments able to correct the oxidative stress and activation of endothelial cells.
Identifying Influential Nodes in Large-Scale Directed Networks: The Role of Clustering

Identifying influential nodes in very large-scale directed networks is a big challenge relevant to disparate applications, such as accelerating information propagation, controlling rumors and diseases, designing search engines, and understanding hierarchical organization of social and biological networks. Known methods range from node centralities, such as degree, closeness and betweenness, to diffusion-based processes, like PageRank and LeaderRank. Some of these methods already take into account the influences of a node’s neighbors but do not directly make use of the interactions among it’s neighbors. Local clustering is known to have negative impacts on the information spreading. We further show empirically that it also plays a negative role in generating local connections. Inspired by these facts, we propose a local ranking algorithm named ClusterRank, which takes into account not only the number of neighbors and the neighbors’ influences, but also the clustering coefficient. Subject to the susceptible-infected-recovered (SIR) spreading model with constant infectivity, experimental results on two directed networks, a social network extracted from delicious.com and a large-scale short-message communication network, demonstrate that the ClusterRank outperforms some benchmark algorithms such as PageRank and LeaderRank. Furthermore, ClusterRank can also be applied to undirected networks where the superiority of ClusterRank is significant compared with degree centrality and k-core decomposition. In addition, ClusterRank, only making use of local information, is much more efficient than global methods: It takes only 191 seconds for a network with about nodes, more than 15 times faster than PageRank.
Selfhood and Identity in Confucianism, Taoism, Buddhism, and Hinduism: Contrasts With the West

L'A. etudie les conceptions orientales de la personnalite et de l'identite en soulignant la particularite de chaque tradition confucianiste, taoiste, bouddhiste et hindouiste. L'A. compare ensuite les conceptions orientales et occidentales concernant la distinction sujet-objet, le rapport soi-autrui, la centralite et la souverainete
FGFs, heparan sulfate and FGFRs: complex interactions essential for development.

Fibroblast growth factors (FGFs) comprise a large family of developmental and physiological signaling molecules. All FGFs have a high affinity for the glycosaminoglycan heparin and for cell surface heparan sulfate proteoglycans. A large body of biochemical and cellular evidence points to a direct role for heparin/heparan sulfate in the formation of an active FGF/FGF receptor signaling complex. However, until recently there has been no direct demonstration that heparan is required for the biological activity of FGF in a developmental system in vivo. A recent paper by Lin et al.(1) has broken through this barrier to demonstrate that heparan sulfate is essential for FGF function during Drosophila development. The establishment of a role for heparan sulfate in FGFR activation in vivo suggests that tissue-specific differences in the structure of heparan may modulate the activity of FGF. BioEssays 22:108-112, 2000.
A Typology of the Path of Deictic Motion Verbs as Path-Conflating Verbs: The Entailment of Arrival and the Deictic Center

A Typology of the Path of Deictic Motion Verbs as Path-Conflating Verbs: The Entailment of Arrival and the Deictic Center This paper analyzes deictic motion verbs in various languages using Talmy's framework, and isolates the Path of motion expressed by these verbs. It is argued that the different interpretations of the Path so discovered are attributable to the lexical meaning of deictic motion verbs as well as locative phrases. Furthermore, deictic motion verbs are claimed to be lexically specified for the entailment of arrival only if they express the Path eventually directed to the deictic center. The arrival-time and departure-time interpretations of cooccurring point-of-time expressions are shown to coincide with the entailment of arrival, or the lack thereof, which is inherent to the semantics of deictic motion verbs.
Guidelines for teaching object orientation with Java

How to best teach object orientation to first year students is currently a topic of much debate. One of the tools suggested to aid in this task is BlueJ, an integrated development environment specifically designed for teaching. BlueJ supports a unique style of introduction of OO concepts. In this paper we discuss a set of problems with OO teaching, present some guidelines for better course design and show how BlueJ can be used to make significant improvements to introductory OO courses. We end by presenting a description of a possible project sequence using this teaching approach.
Handwritten characters extraction from form based on line shape characteristics

Problem statement: Data entry form is a convenient and successful too l for information collection by filling in the sheets using pen and h andwriting. One of the most important fields in the se forms is the data filled boxes. Extracting the hand writing from the data entry forms is important for many purposes such as in documenting and archiving. The extraction process is also important in situations such as when it is necessary to the hand written recognition process. Approach: A simple and effective approach is presented to extract hand written characters, including digits and letters of any language from data filled boxes of data entry f orm and to deal with cases of overlaps between the handwritten characters and boxes' lines. The propos ed approach is based on line shape characteristic by detecting and removing the vertical and horizont al straight boxes' lines, while preserving the curved lines which represent the handwritten charac ters. The problem of the handwritten characters overlapping with the data filled boxes' line is sol ved using morphology dilation to reconstruct the broken characters after the removal of the boxes' l ines. Results: Experimental results have demonstrated that the proposed approach can extract handwriting from data filled boxes with overall 94.052% for data collection of 150 forms. Conclusion: The proposed algorithm has been successfully implemented and tested to achieve the objectives of handwritten extraction of any language from data filled boxes. However, this work could not deal wit h situations whereby the characters touch other immediate characters.
Local Features and Kernels for Classification of Texture and Object Categories: An In-Depth Study

Recently, methods based on local image features have shown promise for texture and object recognition tasks. This paper presents a large-scale evaluation of an approach that represents images as distributions (signatures or histograms) of features extracted from a sparse set of keypoint locations and learns a Support Vector Machine classifier with kernels based on two effective measures for comparing distributions, the Earth Mover's Distance and the chi-square distance. We first evaluate the performance of our approach with different keypoint detectors and descriptors, as well as different kernels and classifiers. We then conduct a comparative evaluation with several state-of-the-art recognition methods on four texture and five object databases. On most of these databases, our implementation exceeds the best reported results and achieves comparable performance on the rest. Finally, we investigate the influence of background correlations on recognition performance via extensive tests on the PASCAL database, for which ground-truth object localization information is available. Our experiments demonstrate that image representations based on distributions of local features are surprisingly effective for classification of texture and object images under challenging real-world conditions, including significant intra-class variations and substantial background clutter.
Receptor expression in synovial fluid neutrophils from patients with rheumatoid arthritis.

OBJECTIVES--The aim of this study was to determine if neutrophils isolated from the blood and synovial fluid of patients with rheumatoid arthritis had patterns of receptor expression resembling those of blood neutrophils from controls which had been activated and primed in vitro. METHODS--Fluorescence activated cell sorting was used to measure receptor expression in paired blood and synovial fluid neutrophils from patients and in control neutrophils exposed to phorbol myristate acetate and granulocyte-macrophage colony stimulating factor. RESULTS--There was no significant difference in the patterns of receptor expression in blood neutrophils from patients and healthy controls, but neutrophils in the synovial fluid had been primed and activated within the joint. About 50% of rheumatoid synovial fluid neutrophil samples expressed Fc gamma RI, a high affinity receptor for monomeric IgG, which is only expressed in neutrophils exposed to cytokines. CONCLUSIONS--Synovial fluid neutrophils are activated and primed within the inflamed joint and hence their ability to respond to activating factors such as immune complexes will be modulated. As the expression of Fc gamma RI requires active biosynthesis, this work indicates that selective gene activation occurs when neutrophils are recruited into rheumatoid joints.
Co-morbidities associated with obstructive sleep apnea

There are many co-morbid conditions that are associated with obstructive sleep apnea (OSA). Though a causative relationship between OSA and some of the co-morbidities is well established or strongly associated, many risk factors of OSA (age, male gender and obesity) are also known risk factors especially for cardiovascular diseases. Other important co-morbid conditions associated with OSA are neurocognitive dysfunction and, erectile dysfunction. Recently there are reports that ocular manifestations are associated with OSA. It is expected that more co-morbidities will be reported in OSA as the research in this area progresses. Key words: Co-morbidities in OSA, Hypertension, Cardiac arrhythmias, Stoke, Erectile dysfunction
Whole‐mount analysis reveals normal numbers of dopaminergic neurons following misexpression of α‐Synuclein in Drosophila

Previously published reports have suggested that misexpression of α‐Synuclein in the Drosophila central nervous system causes neurodegeneration and progressive age‐dependent locomotor dysfunction similar to pathologic and clinical manifestations of Parkinson's disease. The number of dopaminergic (DA) neurons in these studies was assessed using immunohistochemistry with an anti‐tyrosine hydroxylase antibody on sequential paraffin sections of fly brains. In contrast, we do not observe any DA cell loss in α‐Synuclein expressing fly brains when using whole‐mount immunohistochemistry as an assay. Our results suggest that the DA cell loss observed with misexpression of α‐Synuclein is not fully penetrant under a variety of experimental conditions and that this may complicate interpretation of such experiments. genesis 41:154–159, 2005. © 2005 Wiley‐Liss, Inc.
Comparison of different evolutionary algorithms for global supply chain optimisation and parameter analysis

This paper discusses global optimisation from a business perspective in the context of the supply chain operations. A two-silo supply chain was built for experimentation and three approaches were used for global optimisation: a classical evolutionary approach, a cooperative coevolutionary approach and a coevolutionary approach with on the fly partner generation where the solution from the second component of the supply chain is generated deterministically based on the first one. The second approach produced higher quality solutions due to its use of communication between silos. Additional experiment was conducted to choose optimal species sizes.
Cronotanatognose: a influência do clima tropical na determinação do intervalo post-mortem

A determinacao do intervalo post-mortem (IPM) e essencial para a investigacao policial, pois auxilia na diagnose diferencial e na reconstrucao da cena e da dinâmica do crime. Alem disso, o IPM e importante para questoes sucessorias. Metodos classicos e modernos sao propostos para determinar a a data do decesso, mas a maioria carece de objetividade. De forma geral, os metodos sao dependentes tanto de caracteristicas e da forma da morte, quanto das condicoes ambientais, sobretudo do clima no local de encontro do cadaver. Dessa forma, por meio de pesquisa exploratoria e descritiva, a partir de documentacao indireta de fontes secundarias buscou-se realizar uma revisao sobre alguns metodos cronotanatognoticos. As limitacoes desses metodos, sobretudo quando aplicados em regioes de clima tropical foram apresentadas. Certo e que a elevada temperatura e umidade sao fatores que influenciam os processos de decomposicao cadavericos e, assim dificultam a determinacao correta e consensual do IPM. Assim, ha muito que se desenvolver no campo de estudo do IPM, buscando-se metodologias mais eficazes e precisas, sobretudo aplicaveis as regioes tropicais.