Miracle-dz/UniFAR-FTUs huggingface dataset:
Aberrant Neural FunctionDuring Emotion Attribution in Female Subjects With Fragile X Syndrome

Objective: Fragile X (FraX) syndrome is caused by mutations of the FraX mental retardationY1 geneVa gene responsible for producing FraX mental retardation protein. The neurocognitive phenotype associated with FraX in female subjects includes increased risk for emotional disorders including social anxiety, depression, and attention deficit. Here, the authors investigated the neurobiological systems underlying emotion attribution in female subjects with FraX syndrome. Method: While undergoing functional magnetic resonance imaging, 10 high-functioning female subjects with FraX syndrome and 10 typically developing (TD) female subjects were presented with photographs of happy, sad, and neutral faces and instructed to determine the facial emotion. Results: No significant group differences were found for the recognition of happy faces, although the FraX group showed a trend toward a significant difference for the recognition of sad faces and significantly poorer recognition of neutral faces. Controlling for between-group differences in IQ and performance accuracy, the TD group had greater activation than the FraX group in the anterior cingulate cortex (ACC) for neutral faces compared with scrambled faces and the caudate for sad faces compared with scrambled faces (but not for sad faces compared with neutral faces). In the FraX group, FraX mental retardation protein levels positively correlated with activation in the dorsal ACC for neutral, happy, and sad faces when independently compared with scrambled faces. Significantly greater negative correlation between IQ and insula activation for neutral faces relative to scrambled faces was observed in the FraX group compared with the TD group. Significantly greater positive correlation between IQ and ACC activation for neutral faces relative to scrambled faces was observed in the TD group compared with the FraX group.Conclusions: Although emotion recognition is generally spared in FraX syndrome, the emotion circuit (i.e., ACC, caudate, insula) that modulates emotional responses to facial stimuli may be disrupted. J. Am. Acad. Child Adolesc. Psychiatry, 2008;47(12):1443Y1454.
Detecting JFIF header using FORHEADER

Header and footer are important in digital investigation for JPEG file detection as only 16% of files are fragmented. The use of efficient algorithm to detect them is vital to reduce time taken for analyzing ever increasing data in hard drive or physical memory. Even though there are few applications developed for file carving that rely on header and footer e.g. Foremost, Scalpel; however the algorithm used for header detection is not much discussed. In this paper, we introduce three novel algorithms; single-byte-marker, dual-byte-marker and 20-point-reference for JPEG File Interchange Format (JFIF) header detection using a newly introduced FORHEADER model. Three experiments have been carried out using an image from hard disk and physical memory; and raw data from Digital Workshop Forensics Research Workshop 2006 (DFRWS 2006) challenge. The results obtained showed that dualbyte-marker algorithm provides better performance in terms of processing time for JFIF header detection.
A Method of Collecting Mongolian Web page Based on Hyperlink Correlation Degree

Since the encoding of Mongolian web pages is not unified and the amount of web pages are is fewer, a method to unify linguistic model and hyperlink analysis is designed to solve the problem. Firstly the web page language identification is carried on by the N-Gram language model, as well as the average distance of language identification is a part of the hyperlink correlation degree. Secondly the hyperlink correlation degree is calculated based on the anchor text, hyperlink increasing and hyperlink depth. Finally the hyperlinks which are sorted by the hyperlink correlation degree become the collecting seeds of the next web page. The experimental results show that the method of collecting Mongolian web page based on hyperlink correlation degree can effectively enhance the information sum, collection speed and the accuracy rate.
Integration of Pathologic Findings With Clinical-Radiologic Tumor Measurements to Quantify Response to Neoadjuvant Chemotherapy

Abstract : The aim of the project is to develop and test a new method to quantify the proportion (percent) of cancer that is residual after neoadjuvant chemotherapy using standard radiologic and/or clinical measures of tumor size that are integrated with pathologic information about the amount of cancer within each tumor. In years 1 and 2 we combined our measure of cancer cellularity with the radiological tumor measurements with the gross and microscopic pathologic changes in the breast and axillary lymph nodes after chemotherapy to determine a measure of relative breast cancer response. This Residual Cancer Index (RCI) closely correlated with T-stage and greater proportion of residual cancer (poor response) after paclitaxel, 5-FU, doxorubicin, and cyclophosphamide (T/FAC) was significantly related to low proliferation, bcl-2 overexpression, and tau overexpression. By the end of year 3 (June 2005) we had enlarged the evaluation to 103 patients who received T/FAC chemotherapy (6 months) and 61 patients who received FAC alone (3 months neoadjuvant then 3 months adjuvant), conducted an interim evaluation of distant relapse-free survival (DRFS) with respective median follow-up of 48 and 90 months, and compared the amount of residual cancer burden (RCB) at the completion of neoadjuvant treatment with the proportional reduction of cancer represented by RCI. We found that in both cohorts the new measures of response were significantly prognostic and outperformed the existing classification of response as pathologic complete response (pCR) versus residual disease (RD). There was no prognostic difference between RCI and RCB. Therefore, we have selected RCB to evaluate in a larger cohort of patients who received neoadjuvant T/FAC (n=243) or FAC or T alone (n=189) and for whom the pathologic material after treatment is available for review. We requested a one-year extension to complete this and extend the follow-up period.
Using the Bees Algorithm for wheeled mobile robot path planning in an indoor dynamic environment

Abstract This paper presents a solution to plan a path using a new form of the Bees Algorithm for a 2-Wheeled Differential Drive mobile robot. This robot is used in an indoor environment. The environment consists of static and dynamic obstacles which are represented by a continuous configuration space as an occupancy map-based. The proposed method is run in two respective stages. Firstly, the optimal path is obtained in the static environment using either the basic form or the new form of the Bees Algorithm. The initial population in the new form of the Bees Algorithm consists only of feasible paths. Secondly, this optimal path is updated online to avoid collision with dynamic obstacles. A modified form of the local search is used to avoid collision with dynamic obstacles and to maintain optimality of sub-paths. A set of benchmark maps were used to simulate and evaluate the proposed algorithm. The results obtained were compared with those of the other algorithms for different sets of continuous maps. This comparison shows the superiority of the new form of the Bees Algorithm in solving this type of the problems. The proposed method was also tested using AmigoBot robot. In this experiment, the proposed method was implemented using multi-threading techniques to guarantee real time performance at the dynamic stage. The results of this experiment prove the efficiency of the proposed method in a real time.
Coherent coupling of individual quantum dots measured with phase-referenced two-dimensional spectroscopy: Photon echo versus double quantum coherence

We employ two-dimensional (2D) coherent, nonlinear spectroscopy to investigate couplings within individual InAs quantum dots (QD) and QD molecules. Swapping pulse ordering in a two-beam sequence permits to distinguish between rephasing and non-rephasing four-wave mixing (FWM) configurations. We emphasize the non-rephasing case, allowing to monitor two-photon coherence dynamics. Respective Fourier transform yields a double quantum 2D FWM map, which is corroborated with its single quantum counterpart, originating from the rephasing sequence. We introduce referencing of the FWM phase with the one carried by the driving pulses, overcoming the necessity of its active-stabilization, as required in 2D spectroscopy. Combining single and double quantum 2D FWM, provides a pertinent tool in detecting and ascertaining coherent coupling mechanisms between individual quantum systems, as exemplified experimentally.
Evaluating the Capability of New Distribution Centers Using Simulation Techniques

One of the difficulties in a product distribution management system of new Distribution Centers(DCs) is no historical data and no experience. In this paper, we develop a product distribution model to estimate the capability of the product distribution system of the new DCs associated a question on the increasing arrival product volumes. In order to develop the model, the exponential distribution and triangular distribution techniques were used to vary on the process of importing arrival product and the operating process in the system . The real life application is used. Chiang Khong, Chiang Sean and Mae Sai DCs in Chiang Rai province, Thailand were applied as the case study. The product distribution system of the new DCs was systematically described by simulating the models. The bottleneck problem finally reflects on the efficiency of the system by improving the capability of the system.
Aptamer-Mediated Selective Protein Affinity to Improve Scaffold Biocompatibility

Protein adsorption on surfaces occurs shortly after scaffold insertion. This process is of pivotal importance to achieve therapeutic success in tissue engineering (TE), and favorable proteins should be adsorbed at the interface without unfolding to preserve their structure and function. Protein misfolding at the interface is a common phenom‐ enon, which can impair cell adhesion and scaffold colonization. Many efforts have been done to improve scaffold biocompatibility by ameliorating protein adsorption, but with poor results. In the present chapter, we propose the use of a novel class of molecules, aptamers, to improve scaffold biocompatibility. Aptamers are small, single stranded oligonucleotides, which specifically bind to a target molecule: they work as antibod‐ ies, but without many of the drawbacks associated to the use of antibodies. We propose to immobilize aptamers on scaffolds to retain specific proteins, acting as docking points to guide cell activity. In particular, we show the results obtained by enriching different polymeric scaffolds with aptamers against human fibronectin, a naturally abundant protein in tissues, which plays a pivotal role in cell adhesion. We demonstrate that scaffold enrichment with aptamers lead to a better colonization of the substrate from cells. The results we obtained pave the way to the possibility of further investigating the role of aptamers as useful molecules to improve scaffold biocompatibility in the contest of tissue engineering.
THE SIZE AND SHAPE OF THE SELLA TURCICA IN ADOLESCENT ORTHODONTIC PATIENTS WITH DIFFERENT VERTICAL GROWTH PATTERNS

Background and Aim: The aim of this study was to assess the shapes and measurements of sella turcica in adolescent orthodontic patients with different vertical growth patterns. Materials and Methods: Lateral cephalometric radiographs of 96 individuals (32-low angle; 32-average angle; 32-high angle) were analyzed. The shape and linear measurements (diameter, depth and length) of sella turcica in different vertical growth patterns were determined. The data were analyzed using independent sample t test, one-way analysis of variance and post hoc Tukey honest significant difference (HSD) tests. Results: The length of sella turcica was not different between groups (p=0.230). The diameter of sella turcica in low and high angle individuals was larger than average angle individuals (p=0.004 and p=0.005, respectively). The depth of sella turcica in high angle individuals was larger than average angle individuals (p=0.024). Moreover, the results showed that sella turcica presented with a normal morphology in the majority of subjects (% 56). Conclusions: A significant difference was found in diameter and depth of sella turcica among different vertical growth patterns. Larger diameter and depth values were present in low and high angle individuals.
Pre-Trial Prejudice Case Studies of Pre-and Mid-trial Prejudice in Criminal and Civil Litigation forthcoming, Law and Human Behavior

“Extensive publicity before trial does not, in itself, preclude fairness. In many respects media exposure presents problems not qualitatively different from that experienced in earlier times in small communities where gossip and jurors’ personal acquaintances with lawyers, witnesses, and even the accused were not uncommon. Properly motivated and carefully instructed jurors can and have exercised the discipline to disregard that kind of prior awareness. Trust in their ability to do so diminishes when the prior exposure is such that it evokes strong emotional responses or such an identification with those directly affected by the conduct at issue that the jurors feel a personal stake in the outcome. That is also true when there is such identification with a community point of view that jurors feel a sense of obligation to reach a result which will find general acceptance in the relevant audience. ” (U.S. v. McVeigh, 1996:1473)
Generating Natural Interactive Motion in Android Based on Situation-Dependent Motion Variety

In order to develop a robot that can work in normal everyday situations, it is necessary to discover the principles relevant to establishing and maintaining social interaction between humans and robots. Even if short-term human-robot interaction can be performed by implementing simple behaviors in a robot, it remains difficult to realize long-term social interaction. We have explored the principles underlying natural human-robot communication by development of an android which closely resembles a human being, which is called an android science approach (Ishiguro, 2005). Nass et al. (Nass et al., 1994) demonstrated that the human-computer relationship is fundamentally social and that a person's social response toward computers is automatic in social situations. It is inferred from their studies that person's interpersonal responses subconsciously expressed toward a robot (in other words, perceptual social illusion (Jacob & Jeannerod, 2005)) underlie the natural communication between the person and the robot. The condition to elicit interpersonal behavior must be related to a mechanism to support natural communication. The android science approach explores the boundary conditions to elicit subconscious interpersonal behavior toward an android from humans by investigating methods to make the android more humanlike. Humanlike body motions are necessary to implement humanlike behavior in an android. There have been several studies on the generation of humanlike motion, including studies on a model to generate human motion trajectories based on a neurocomputational approach (Flash & Hogan, 1985; Uno et al., 1989; Kawato, 1992; Schaal & Sternad, 2001), a study on the control of a manipulator based on a model of motion trajectories of a person's arm (Kashima & Isurugi, 1998), and studies on a computer graphics (CG) animated characters, which have shown that noise in the motion makes the character's motion more humanlike (Perlin, 1995; Bodenheimer et al., 1999). These studies successfully generated a humanlike motion. However, a humanlike motion specific to communication situations has not been considered. The present study considers the human-like nature of a person's motion during interaction with other people. A person generally does not produce exactly identical motion when he/she repeats a behavior with the same intention, as shown in Fig. 1(a). In contrast, a robot is able to repeat exactly identical motion with a purpose. A person's motion is diverse in that the motion
EAZY: A Fast, Public Photometric Redshift Code

We describe a new program for determining photometric redshifts, dubbed EAZY. The program is optimized for cases where spectroscopic redshifts are not available, or are only available for a biased subset of the galaxies. The code combines features from various existing codes: it can fit linear combinations of templates, it includes optional flux- and redshift-based priors, and its user interface is modeled on the popular HYPERZ code. A novel feature is that the default template set, as well as the default functional forms of the priors, are not based on (usually highly biased) spectroscopic samples, but on semianalytical models. Furthermore, template mismatch is addressed by a novel rest-frame template error function. This function gives different wavelength regions different weights, and ensures that the formal redshift uncertainties are realistic. We introduce a redshift quality parameter, Qz, which provides a robust estimate of the reliability of the photometric redshift estimate. Despite the fact that EAZY is not ”trained” on spectroscopic samples, the code (with default parameters) performs very well on existing public data sets. For K-selected samples in CDF-South and other deep fields, we find a 1 σ scatter in Δ z/(1 + z) of 0.034, and we provide updated photometric redshift catalogs for the FIRES, MUSYC, and FIREWORKS surveys.
Initializing Entity Representations in Relational Models

Recent work in learning vector-space embeddings for multi-relational data has focused on combining relational information derived from knowledge bases with distributional information derived from large text corpora. We propose a simple trick that leverages the descriptions of entities or phrases available in lexical resources, in conjunction with distributional semantics, in order to derive a better initialization for training relational models. Applying this trick to the TransE model results in faster convergence of the entity representations, and achieves small improvements on Freebase for raw mean rank. More surprisingly, it results in significant new state-of-the-art performances on the WordNet dataset, decreasing the mean rank from the previous best 212 to 51. We find that there is a trade-off between improving the mean rank and the hits@10 with this approach. This illustrates that much remains to be understood regarding performance improvements in relational models.
F R A M E W O R K FOR DESIGNING SAMPLING PROGRAMS

A general framework for designing sampling programs is described. As part of the sampling program the problem of concern, or reason for sampling, needs to be clearly stated and objectives specified. The development of a conceptual model will assist the clarification of objectives and the choice of indicators to be sampled. Objectives can then be stated as testable hypotheses and decisions made about the smallest difference/changes that are to be detected/observed by the sampling. To allow the collection of representative samples, and the statistical analysis of data to be collected, the potential sources of variability in the data must be considered. Site, selection, frequency and replication must account for the expected variability. Before field collection of samples occurs, the sample collection device needs to be tested as to its efficiency to collect a representative sample. It also will usually be necessary to consider how samples are to be preserved to inhibit biological and chemical change. All sample programs require a quality assurance program to identify, measure and control errors. As well as the above the cost-effectiveness of the program should be evaluated in terms of maximizing the information obtained/cost.
CARDIOVASCULAR RISK FACTORS AND PREVALENCE OF METABOLIC SYNDROME IN THE ELDERLY

Objective: To evaluate the prevalence of metabolic syndrome (MS) in elderly patients seen at a Basic Health Unit (BHU) and the relationship between anthropometric, hemodynamic and biochemical measures. Methods: Cross-sectional study with 94 elderly seen at Cecilia de Sousa Neri UBS, in Picos, Piauí, in the period from August to October 2011. Weight, height, waist circumference (WC), and systolic (SBP) and diastolic (DBP) blood pressure were evaluated, and biochemical data was collected. The metabolic syndrome was characterised by the presence of three or more risk factors, in accordance with the National Cholesterol Education Program. The study applied t-test and Mann-Whitney test for comparison of means between the sexes, Pearson’s correlation between the anthropometric, hemodynamic and biochemical variables, and associations between variables using chi-square test, with 5% significance level. Results: Of the sample, 68.1% (n=64) were women. Mean WC was 102.4 ± 11.4 cm (males) and 96.2 ± 13.2 cm (females), (p=0.031). MS was diagnosed in 38.64% (n=34) of the participants, being 28.40% (n=25) for women (p=0.252). There was a significant correlation between weight and SBP (r=0.273; p=0.0076), weight and DBP (r=0.379; p=0.0002), WC and SBP (r=0.248; p=0.0158), WC and DBP (r=0.255; p=0.0129), BMI and SBP (r=0.294; p=0.0041), BMI and DBP (r=0.318; p=0.0018), weight and blood glucose (r=0.184; p=0.0855) and DBP and blood glucose (r=0.219; p=0.0403). Conclusion: There was high prevalence of MS, as well as positive relationships between the anthropometric variables, blood glucose, triglycerides and arterial blood pressure, showing the need for monitoring and control of these cardiovascular risk factors. con nivel de significancia del 5%. Resultados: Muestra con el 68,1% (n=64) de mujeres. La media de CC fue de 102,4 ± 11,4cm (hombres) y 96,2 ± 13,2cm (mujeres), (p=0,031). El SM fue diagnosticado en el 38,64% (n=34) de los investigados con un 28,40% (n=25) en las mujeres (p=0,252). Hubo correlación significativa entre el peso y la PAS (r=0,273; p=0,0076), el peso y la PAD (r=0,379; p=0,0002), la CC y la PAS (r=0,248; p=0,0158), la CC y la PAD (r=0,255; p=0,0129), el IMC y la PAS (r=0,294; p=0,0041), el IMC y la PAD (r=0,318; p=0,0018), el peso y la glucosa (r=0,184; p=0,0855), la PAD y la glucosa (r=0,219; p=0,0403). Conclusión: Hubo elevada prevalencia del SM, además de relaciones positivas entre las variables antropométricas, glucemia, triglicéridos y presión arterial lo que sugiere la necesidad del control de esos factores de riesgo cardiovascular. Crónica.
Learning Dynamics of Deep Networks Admit Low-Rank Tensor Descriptions

Deep feedforward neural networks are associated with complicated, nonconvex objective functions. Yet, simple optimization algorithms can identify parameters that generalize well to held-out data. We currently lack detailed descriptions of this learning process, even on a qualitative level. We propose a simple tensor decomposition model to study how hidden representations evolve over learning. This approach precisely extracts the correct dynamics of learning in linear networks, which admit closed form solutions. On deep, nonlinear architectures performing image classiﬁcation (CIFAR-10), we ﬁnd empirically that a low-rank tensor model can explain a large fraction of variance while extracting meaningful features, such as stage-like learning and selectivity to inputs