Miracle-dz/UniFAR-FTUs huggingface dataset:
An Examination of Perceptions of Male and Female Avatars

Virtual worlds are three-dimensional, computer-generated worlds in which users take the form of avatars. Through their avatars, users can interact with objects and other avatars in the virtual world. Virtual worlds are growing in importance in both educational institutions and businesses. Educational institutions have adopted virtual worlds as a medium for instructional delivery whereas businesses are using virtual worlds for recruitment, training, collaboration, and marketing. Given these emerging phenomena, a better understanding of behavioral and perceptual issues in virtual worlds is warranted. In this paper, we propose a research model to study gender stereotypicality of male and female avatars and their effects on trust perceptions. Gender stereotypes have been widely studied in the real world along with their effects on trust perceptions. This research will assess if such gender stereotypes also exist in the virtual worlds.
Localized suppression of RhoA activity by Tyr31/118-phosphorylated paxillin in cell adhesion and migration

RhoA activity is transiently inhibited at the initial phase of integrin engagement, when Cdc42- and/or Rac1-mediated membrane spreading and ruffling predominantly occur. Paxillin, an integrin-assembly protein, has four major tyrosine phosphorylation sites, and the phosphorylation of Tyr31 and Tyr118 correlates with cell adhesion and migration. We found that mutation of Tyr31/118 caused enhanced activation of RhoA and premature formation of stress fibers with substantial loss of efficient membrane spreading and ruffling in adhesion and migration of NMuMG cells. These phenotypes were similar to those induced by RhoA(G14V) in parental cells, and could be abolished by expression of RhoA(T19N), Rac1(G12V), or p190RhoGAP in the mutant-expressing cells. Phosphorylated Tyr31/118 was found to bind to two src homology (SH)2 domains of p120RasGAP, with coprecipitation of endogenous paxillin with p120RasGAP. p190RhoGAP is known to be a major intracellular binding partner for the p120RasGAP SH2 domains. We found that Tyr31/118-phosphorylated paxillin competes with p190RhoGAP for binding to p120RasGAP, and provides evidence that p190RhoGAP freed from p120RasGAP efficiently suppresses RhoA activity during cell adhesion. We conclude that Tyr31/118-phosphorylated paxillin serves as a template for the localized suppression of RhoA activity and is necessary for efficient membrane spreading and ruffling in adhesion and migration of NMuMG cells.
Brain activation during semantic judgment of Chinese sentences: A functional MRI study

A functional magnetic resonance imaging (fMRI) study was conducted to investigate whether the anatomic substrates of semantic memory may reflect categorical organization and to determine whether the left middle frontal gyrus (Brodmann area [BA] 9) plays a role in Chinese semantic judgment. Unlike previous studies using a word‐retrieval task (e.g., word generation, naming, and word categorization), we used a typical task of semantic knowledge retrieval in cognitive psychology in which subjects were asked to determine whether a sentence describing an attribute of living things or nonliving things was true or not. The experimental conditions evoked extensive activation over several regions of the brain including a very strong activation in the left middle frontal region (BA9 and BA46). Our data show that there is no unique activation associated with living or nonliving things at the statistical threshold used in our study. The results imply that human semantic system is undifferentiated by category at the neural level. Our findings also corroborate and extend the claim that the left middle frontal gyrus plays an important role in reading Chinese at both the sentence and the word level. Hum Brain Mapping 24:305–312, 2005. © 2005 Wiley‐Liss, Inc.
Modeling and identification of position and temperature dependent friction phenomena without temperature sensing

This paper investigates both positional dependence in systems with friction and the influence an increase in temperature has on the friction behavior. The positional dependence is modeled with a Radial Basis Function network and the temperature dependence is modeled as a first order system with the power loss due to friction as input, eliminating the need for temperature sensing. The proposed methods are evaluated in both simulations and experiments on two industrial robots with strong positional and temperature friction dependence.
Symbolic Path-Oriented Test Data Generation for Floating-Point Programs

Verifying critical numerical software involves the generation of test data for floating-point intensive programs. As the symbolic execution of floating-point computations presents significant difficulties, existing approaches usually resort to random or search-based test data generation. However, without symbolic reasoning, it is almost impossible to generate test inputs that execute many paths with floating-point computations. Moreover, constraint solvers over the reals or the rationals do not handle the rounding errors. In this paper, we present a new version of FPSE, a symbolic evaluator for C program paths, that specifically addresses this problem. The tool solves path conditions containing floating-point computations by using correct and precise projection functions. This version of the tool exploits an essential filtering property based on the representation of floating-point numbers that makes it suitable to generate path-oriented test inputs for complex paths characterized by floating-point intensive computations. The paper reviews the key implementation choices in FPSE and the labeling search heuristics we selected to maximize the benefits of enhanced filtering. Our experimental results show that FPSE can generate correct test inputs for selected paths containing several hundreds of iterations and thousands of executable floating-point statements on a standard machine: this is currently outside the scope of any other symbolic-execution test data generator tool.
A short screening instrument for poststroke dementia : the R-CAMCOG.

BACKGROUND AND PURPOSE The CAMCOG is a feasible cognitive screening instrument for dementia in patients with a recent stroke. A major disadvantage of the CAMCOG, however, is its lengthy and relatively complex administration for screening purposes. We therefore developed the Rotterdam CAMCOG (R-CAMCOG), based on the original version. Our aim was to reduce the estimated administration time to 15 minutes or less and to retain or perhaps even improve its diagnostic accuracy. METHODS We analyzed the item scores on the CAMCOG of 300 consecutive stroke patients, after exclusion of patients with a severe aphasia or lowered consciousness level, who were entered in the Rotterdam Stroke Databank. The diagnosis of dementia was made independent of the R-CAMCOG score, on the basis of clinical examination and neuropsychological test results. The R-CAMCOG was constructed in 3 steps. First, items with floor and ceiling effects were removed. Next, subscales with no additional diagnostic value were excluded. Finally, we removed items that did not contribute to the homogeneity of the subscales. The diagnostic accuracy of the R-CAMCOG and the original CAMCOG was determined by means of the area under the receiver operating characteristic (ROC) curve. RESULTS In the 3 steps, the number of items was reduced from 59 to 25, divided over the subscales orientation, memory (recent, remote, and learning), perception, and abstraction. The subscale orientation did not reach significance in a logistic regression model but was included in the R-CAMCOG because of its high face validity in dementia screening. Internal validation with ROC analysis suggests that the R-CAMCOG and the CAMCOG are equally accurate in screening for poststroke dementia (area under the curve was 0.95 for both tests). CONCLUSIONS The R-CAMCOG has overcome the disadvantages of the original CAMCOG. It is a promising, short, and easy-to-administer screening instrument for poststroke dementia. It seems to be sufficiently accurate for this purpose, but the test has yet to be validated in a separate, independent study.
Test Generation with Inputs, Outputs and Repetitive Quiescence

This paper studies testing based on labelled transition systems, using the assumption that implementations communicate with their environment via inputs and outputs. Such implementations are formalized by restricting the class of transition systems to those systems that can always accept input actions, as in Input/Output Automata. Implementation relations, formalizing the notion of correctness of these implementations with respect to labelled transition system specifications, are defined analogous to the theories of testing equivalence and preorder, and refusal testing. A test generation algorithm is given which is proved to produce a sound and exhaustive test suite from a specification, i.e., a test suite that fully characterizes the set of correct implementations.
Analysis of smartphone model identification using digital images

This paper is focused on smartphone model identification using image features. A total of 64 image features - broadly categorized into colour features, wavelet features and image quality features - are extracted from high-resolution smartphone images. A binary-class turned to multiclass support vector machine (SVM) is used as the classifier. Experimental results based on 1800 images captured with 10 different smartphone/tablet devices are promising in correctly identifying source smartphone model. Image quality metrics and wavelet features are shown to contain the most useful device/model information compared to colour features. However, compared to colour features, quality and wavelet features are highly sensitive to simple image modifications. The combined set of colour, quality and wavelet features achieves the overall best identification accuracy.
Temporal Dynamics for Spectral Sub-Band Centroid Audio Fingerprints

Motivated by the effectual use of temporal information in speech recognition, we investigate the effectiveness of the temporal dynamics of the spectral sub-band centroid (SSC) fingerprints for audio fingerprinting. The SSC, which is known to be a robust audio fingerprint against various distortions, does not involve any temporal dynamics. Here, the temporal dynamics are defined as the difference between two neighboring SSCs. The robustness of the temporal dynamics against various distortions were compared to that of SSCs. The system using temporal dynamics showed similar performance to that using SSCs in various distortions except for time-scale modification and linear-speed change. This is to be expected since these distortions change the time correlation of an audio. In our experiment, the concatenation of SSCs and the temporal dynamics outperformed each of the individual fingerprints. This suggests that the SSCs and the temporal dynamics provide information which is mutually supplementary.
A receptor for the third component of complement in the human renal glomerulus

In the course of studying the nature of mononuclear cellular infiltrates in tissue sections of human kidney it was noted that indicator sheep erythrocytes densely coated with the third component of complement (C3) specifically adhered to all of the glomeruli in the tissue sections. The deposition of complement (C) within the glomerulus is a feature of many immunologically related renal diseases (1,2), yet the precise mechanism by which C is deposited remains unexplained. We feel that this observation, suggesting the presence of a receptor for C, is, therefore, of particular interest.
From Descriptive to Numeric Emotions in Agents

Representing emotions in agents is important for designing agents that behave like humans or are intended to interact with humans. OCC model, a descriptive emotion model, has been used widely as a standard for emotion synthesis, however it is also criticized for falling short on suggestions for what to do with the emotional states. PAD emotion scale, a numeric emotion measurement of emotions, supplies a highly useful and convenient assessment of consumer emotional reactions to services, products, or combinations of products and services. It closely connects human’s emotional states with the behaviors. If we can find out the relationship between these two models, we can produce a more complete emotion mechanism by using OCC to generate emotional states and PAD to analyze them. Meanwhile, when we consider emotional negotiation, a numeric measurement of emotions is desirable. We need to find a proper way to embed emotions into a utility function. This paper presents a method to map descriptive OCC emotions to numeric PAD emotions, thereby providing an opportunity to embed both the OCC model and the PAD emotion scale into emotional agents to produce a more complete emotion mechanism. The mechanism includes both generating emotions and predicting the effects of emotions on agents’ reasoning processes and behaviors. More specifically, we use WordNet as a lexical ontology and apply ontology matching techniques to produce a mapping from the 22 basic descriptive emotions generated by the OCC model to the numeric PAD emotion space. The result is consistent with the senses in WordNet and the situations in the OCC
Dense range flow from depth and intensity data

The combined use of intensity and depth information greatly helps in the estimation of the local 3D movements (range flow) of moving surfaces. We demonstrate how the two can be combined in both: a local total least squares algorithm, and an iterative global variational technique. While the former assumes locally constant flow, the latter relies on a smoothly varying flow field. The improvement achieved through incorporating intensity is illustrated qualitatively and quantitatively on synthetic and real test data.
Calculation of Relatedness by Using Search Results

Semantic relatedness is a very important research field and it has been used in many applications. Most of current works depend on the hierarchy of WordNet, which results in restricted calculation objects and language, although context vector method and Google distance do not have such drawbacks, but the accuracy is not satisfied. This paper presents a new semantic relatedness calculation method by using search results returned by search engines, which is called search-based relatedness measure. It takes statistical information and content of search results into consideration. Search-based relatedness measure is based on assumption that words appear in a same result have some relatedness and some top ranked search results can represent meaning of the searched term. Search-based relatedness measure does not have the limitation on part of speech and language, and experiment results show its accuracy is better than all current measures.
Acute Physiology and Chronic Health Evaluation (APACHE) III Score compared to Trauma-Injury Severity Score (TRISS) in Predicting Mortality of Trauma Patients

Introduction: More than 50 scoring systems have been published for classification of trauma patients in the field, emergency room, and intensive care settings, so far. The present study aimed to compare the ability of trauma injury severity score (TRISS) and acute physiology and chronic health evaluation (APACHE) III in predicting mortality of intensive care unit (ICU) admitted trauma patients. Methods: This prospective cross-sectional study included ICU admitted multiple trauma patients of Imam Hossein and Hafte-Tir Hospitals, Tehran, Iran, during 2011 and 2012. Demographic data, vital signs, mechanism of injury and required variables for calculating APACHE III score and TRISS were recorded. The accuracy of the two models in predicting mortality of trauma patients was compared using area under the ROC curve. Results: 152 multiple trauma patients with mean age of 37.09 ± 14.60 years were studied (78.94% male). 48 (31.57%) cases died. For both APACHE III and TRISS, predicted death rates significantly correlated with observed death rates (p < 0.0001). The mean age of dead patients was 37.21 ± 14.07 years compared to 37.03±14.96 years for those who survived (p = 0.4). The area under ROC curve was 0.806 (95% CI: 0.663-0.908) for TRISS and 0.797 (95% CI: 0.652-0.901) for APACHE III (p = 0.2). Conclusion: Based on the results of this study, both TRISS and APACHE models have the same accuracy in predicting mortality of ICU admitted trauma patients. Therefore, it seems that TRISS model would be more applicable in this regard because of its easier calculation, consideration of trauma characteristics, and independency of patient care quality.
THE EFFECT OF DUST GEOMETRY ON THE Lyα OUTPUT OF GALAXIES

We present the optical spectroscopic follow-up of 31 z = 0.3 Lyα emitters, previously identified by Deharveng et al. We find that 17% of the Lyα emitters have line ratios that require the hard ionizing continuum produced by an active galactic nucleus. The uniform dust screen geometry traditionally used in studies similar to ours is not able to simultaneously reproduce the observed high Lyα/Hα and Hα/Hβ line ratios. We consider different possibilities for the geometry of the dust around the emitting sources. We find that also a uniform mixture of sources and dust does not reproduce the observed line ratios. Instead, these are well reproduced by a clumpy dust screen. This more realistic treatment of the geometry results in extinction corrected (Lyα/Hα)C values consistent with case B recombination theory, whereas a uniform dust screen model would imply values (Lyα/Hα)C higher than 8.7. Our analysis shows that there is no need to invoke ad hoc multiphase media in which the Lyα photons only scatter between the dusty clouds and eventually escape.
Formation of stress-specific p53 binding patterns is influenced by chromatin but not by modulation of p53 binding affinity to response elements†

The p53 protein is crucial for adapting programs of gene expression in response to stress. Recently, we revealed that this occurs partly through the formation of stress-specific p53 binding patterns. However, the mechanisms that generate these binding patterns remain largely unknown. It is not established whether the selective binding of p53 is achieved through modulation of its binding affinity to certain response elements (REs) or via a chromatin-dependent mechanism. To shed light on this issue, we used a microsphere assay for protein–DNA binding to measure p53 binding patterns on naked DNA. In parallel, we measured p53 binding patterns within chromatin using chromatin immunoprecipitation and DNase I coupled to ligation-mediated polymerase chain reaction footprinting. Through this experimental approach, we revealed that UVB and Nutlin-3 doses, which lead to different cellular outcomes, induce similar p53 binding patterns on naked DNA. Conversely, the same treatments lead to stress-specific p53 binding patterns on chromatin. We show further that altering chromatin remodeling using an histone acetyltransferase inhibitor reduces p53 binding to REs. Altogether, our results reveal that the formation of p53 binding patterns is not due to the modulation of sequence-specific p53 binding affinity. Rather, we propose that chromatin and chromatin remodeling are required in this process.
Expression and prognostic significance of programmed death protein 1 and programmed death ligand‐1, and cytotoxic T lymphocyte‐associated molecule‐4 in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the most common malignancies and causes of death worldwide. In this study, we assessed the correlation between clinicopathologic factors with programmed cell death protein 1 (PD‐1) and programmed cell death ligand‐1 (PD‐L1), and cytotoxic T lymphocyte‐associated molecule‐4 (CTLA‐4) expressions. Furthermore, we analyzed the prognostic significance of these proteins in a subgroup of patients. We retrospectively evaluated the PD‐1, PD‐L1, and CTLA‐4 expressions in 294 HCC tissue microarray samples using immunohistochemistry. PD‐1 and PD‐L1 expressions were significant related to high CD8+ tumor‐infiltrating lymphocytes (TILs) (r = 0.664, p < 0.001 and r = 0.149, p = 0.012). Only high Edmondson–Steiner grade was statistically related to high PD‐1 expression. High PD‐L1 expression was demonstrated as an independent poor prognostic factor for disease‐free survival in addition to previous known factors, size >5 cm and serum albumin ≤3.5 g/dL in high CD8+ TILs group. We have demonstrated that the combined high expression of PD‐L1 and CD8+ TIL is an important prognostic factor related to the immune checkpoint pathway in HCC and furthermore, there is a possibility that it could be used as a predictor of therapeutic response. Also, this result would be helpful in evaluating the applicable group of PD‐1/PD‐L1 blocking agent for HCC patients.
Child Neurodevelopmental and Behavioural Problems are Intercorrelated and Dimensionally Distributed in the General Population

The Autism - Tics, AD/HD, and other Comorbidities inventory (A-TAC) is a comprehensive interview for evaluating problems related to autism spectrum disorders (ASD), tic disorders, attention-deficit/hyperactivity disorder (AD/HD), and common comorbid conditions in children and adolescents. A-TAC telephone interviews were administered to parents of 2,957 children aged nine- or twelve-years, representing one in each twin pair included in the population- based Child and Adolescent Twin Study in Sweden (CATSS). A total of 16.4% were screen-positive for one or several of the targeted disorder, 1.3% for ASD and 5.6% for AD/HD. All types of problems were more common among boys, with the exception of those related to "eating habits". They were all dimensionally/continuously distributed, highly inter-correlated, and overlapped across types. They aggregated in three ba- sic factors corresponding to externalizing/disruptiveness, socio-communicative problems, and compulsiveness. Population-based data on problems in children thus challenge current categorical diagnostic definitions, calling for dimen- sional and complementary models of problem descriptions.
Red swamp crawfish (Procambarus clarkii): an alternative experimental host in the study of white spot syndrome virus.

The pathogenicity of white spot syndrome virus (WSSV) for the red swamp crawfish (Procambarus clarkii) was investigated after infection by intramuscular (i.m.) injection and oral route. The cumulative mortality of crawfish injected i.m. with WSSV reached 100% in 5 days. After oral feeding WSSV-infected kuruma shrimp (Penaeus japonicus) muscle tissues to the crawfish the cumulative mortality of this host reached 100% in 11 days. On reinfection trials, all the crawfish fed WSSV-infected crawfish muscle tissues died in 9 days. All the shrimp injected with a filtrate of infected crawfish heart tissues died in 12 days with typical signs of white spot syndrome (WSS). Electron microscopy clearly demonstrated that WSSV propagated in the cells of the crawfish midgut. This study showed that the red swamp crawfish can be used as alternative experimental host in the study of WSSV.
Graph Spectra Regression with Low-Rank Approximation for Dynamic Graph Link Prediction ∗

We propose a temporal regression model for dynamic graph link prediction problem, under spectral graph theory and low rank approximation for the graph Laplacian matrix. Link prediction is important in large-scale graphs including social networks, biological networks, power grid, etc. Most of these graphs have different characteristics such as degree distribution, due to their underlying sampling space, and they evolve with time. Several questions arise in connection with the practical use of these graphs, including how to extract the most "essential ingredients" in these massive and heterogeneous graphs without strong model assumptions? How to efficiently predict links in very large graphs of scale of 10 vertices or more? This short paper aims to address these two fundamental problems in dynamic graphs, and uses an ARMA regression model for predicting links based on time series of graph spectra. Preliminary results on synthetic datasets show the promise of the proposed approach.