Miracle-dz/UniFAR-FTUs huggingface dataset:
A wide array research model for providing evidence in person-centered psychotherapies, or what we can learn from LOFAR

Recently, the World Association for Person-Centered and Experiential Psychotherapy and Counseling (WAPCEPC) has installed a Scientific Committee to promote empirical research to support the person-centered and experiential (PCE) approach. For this endeavor to be successful, traditional methods may not suffice. Because the majority of PCE psychotherapies intrinsically do not meet the requirements of standardization and generalization, they cannot (correctly) be included in Randomized Clinical Trials (RCTs). However, RCTs are still considered highly desirable for PCE therapies to qualify as Empirically Supported Treatment (EST), which in turn is decisive for being fully accepted (and covered) in mental health care. After briefly summarizing the ongoing discussion on the inherent limitations of RCTs in psychotherapy research, we describe some existing alternative approaches. Next, we advance a new large-scale and integrative research model that lets methodological pluralism take an essential place in providing robust evidence on both treatment outcome and the process of psychological change, which could be beneficial for PCE therapies. The essence of this suggested Wide Array Research Model (WARM) is a bottom-up strategy in which data are collected in a multitude of small, manageable, and low-cost modules.
La Equidad y la Inclusión Social: Uno de los Desafíos de la Educación y la Escuela Hoy

La educación no está siendo capaz de contribuir a superar las desigualdades ni de reducir la brecha social, por lo que es preciso realizar mayores esfuerzos para que realmente se convierta en un motor de mayor equidad social. El movimiento de la inclusión ha surgido con fuerza en los últimos años para hacer frente a los altos índices de exclusión y discriminación y a las desigualdades educativas presentes en la mayoría de los sistemas educativos del mundo. La perspectiva de la inclusión demanda avanzar hacia un único sistema educativo que sea más diversificado para atender de forma adecuada las necesidades los distintos colectivos y personas, con el fin de lograr, por distintas vías equivalentes en calidad, aprendizajes equiparables para toda la población. Esto supone superar la actual separación entre la educación para todos y la educación para aquellos que por diferentes razones son considerados “diferentes”.
Frequency-domain single-channel inverse filtering for speech dereverberation: Theory and practice

The objective of single-channel inverse filtering is to design an inverse filter that achieves dereverberation while being robust to an inaccurate room impulse response (RIR) measurement or estimate. Since a stable and causal inverse filter typically does not exist, approximate time-domain inverse filtering techniques such as singlechannel least-squares (SCLS) have been proposed. However, besides being computationally expensive and often infeasible, SCLS generally leads to distortions in the output signal in the presence of RIR inaccuracies. In this paper, a theoretical analysis is initially provided, showing that the direct inversion of the acoustic transfer function in the frequency-domain generally yields instability and acausality issues. In order to resolve these issues, a novel frequency-domain inverse filtering technique is proposed that incorporates regularization and uses a single-channel speech enhancement scheme. Experimental results demonstrate that the proposed technique yields a higher dereverberation performance and has a significantly lower computational complexity compared to the SCLS technique.
PREDICTIO OF DISORDERED REGIO S OF PROTEI S WITH EW -PIECES AÏVE BAYES ALGORITHM

In this paper, Bayesian Learning with bioinformatics is utilized. Data is partitioned into a different numbers of pieces for Naïve Learning, which is based on binary Naïve Bayes algorithm. The algorithm is applied on the dataset R80 which consists of order/disorder protein structures. In our algorithm, the data is heuristically partitioned into 2, 5, 11, 101, 133, 201, 301, and undivided. The experimental results have indicated that the partition of the data into 133 pieces has given better results according to correct classification and specificity. I TRODUCTIO The protein macromolecule represents much of the bulk of an organism and accomplishes almost all of its biochemical activities. It has been widely believed that the 3D structure of a protein is a prerequisite for its function. However, the last 50 years of research has revealed that some proteins or protein regions that lack a 3-D structure in the intrinsic state are also involved in a variety of important biological functions [1-4]. These proteins are now called natively unfolded or intrinsically disordered proteins [5]. The research has shown the importance and advantages of disordered proteins for many functional activities such as cell cycle regulation, molecular recognition, enzyme catalysis. Numerous tools and approaches for recognizing and predicting disordered regions of proteins have been developed [6-9]. Identification of these disordered proteins or regions can be done by several experimental techniques such as Xray crystallography, nuclear magnetic resonance spectroscopy (NMR) but the methods require skilled experts to operate the equipment. This can be quite expensive and time consuming. Thus research has concentrated on study of computational methods including ANNs [10, 11], SVMs [12, 13], logistic regression [14]. Surveys have demonstrated that amino acid composition and other attributes such as hydropathy, flexibility, sequence complexity, net charge, amino acid volumes, and secondary structure can be used as a discriminators for disorder/order propensity [15]. The application of machine learning techniques in bioinformatics problems has become increasingly known in recent years. There is a plethora of intelligent algorithms which are used in various fields. However, many of these algorithms
Achievement Motivation and the Locus of Control of Children with Learning Disabilities and Behavior Disorders

The Children's Locus of Control Scale was administered to 48 children with learning and behavior problems and 48 normal children. No significant difference in performance was found. The experimental group, divided randomly into three groups, was given Digit Symbol, Coding, and NIM Test under three different motivational conditions. The data analysis revealed the following: (1) On the Coding Test, the performance of the group with higher scores on the CLCS was significantly better than that of the group with lower scores (p <.01). (2) On the Digit Symbol Test, an interaction effect between the level of locus of control and success-failure experience was found (p <.05). Implications of the findings and suggestions for further research are discussed.
Hough based terrain classification for realtime detection of drivable ground

The usability of mobile robots for surveillance and search and rescue missions can be significantly improved by adding intelligent functionalities that decrease the cognitive load on the operator or that even allow autonomous behavior of the robots, e.g., when communication fails. Mobility in this regard is not only the mechatronic endeavor of developing suited locomotion apparatuses, but also a perception, modeling, and planning challenge. Here, the perception issue of detecting drivable ground is addressed, a particularly important issue for safety, security, and rescue robots, which have to operate in a vast range of unstructured, challenging environments. The simple yet efficient approach is based on the Hough transform of planes. The idea is to design the parameter space such that drivable surfaces can be easily detected by the number of hits in the bins corresponding to drivability. A decision tree on the bin properties increases robustness as it allows the robot to handle uncertainties, especially sensor noise. In addition to the binary distinction of drivable/nondrivable ground, a classification of terrain types is possible. The algorithm is applied to 3D data obtained from two different sensors, namely, a near‐infrared time of flight camera and a stereo camera. Experimental results are presented for typical indoor as well as outdoor terrains, demonstrating robust realtime detection of drivable ground. Seven datasets recorded indoors and outdoors under very varying conditions are used for this purpose. About 6800 snapshots of range data are processed in total. It is shown that drivability can be robustly detected with success rates ranging between 83% and 100%. Computation is extremely fast in the order of 5 to 50 ms. © 2008 Wiley Periodicals, Inc.
Tracking image features with PCA-SURF descriptors

The tracking of moving points in image sequences requires unique features that can be easily distinguished. However, traditional feature descriptors are of high dimension, leading to larger storage requirement and slower computation. In this paper, Principal Component Analysis (PCA) is applied to the 64-Dimension (D) Speeded Up Robust Features (SURF) descriptor to reduce the descriptor dimensionality and computational time, and suggest the minimum number of dimensions needed for reliable tracking with the Kalman Filter (KF). Tests using image sequences, from an RGB-D camera, are used to validate the performance of the reduced PCA-SURF descriptors as compared to the standard SURF descriptor.
The effect of hydration and matrix composition on solute diffusion in rabbit sclera.

There is increasing interest in the possibility for drug delivery into the vitreous humor across the conjunctiva and sclera as an alternative route to the conjunctiva-cornea pathway. As a preliminary to human studies we have investigated the influence of scleral composition and hydration on solute transport in the rabbit sclera. Intermuscular sclera was excised from adult New Zealand rabbits. Tissue samples were either examined directly (controls), digested using chondroitinase ABC or crosslinked using glutaraldehyde. The effect of these treatments on the ultrastructural appearance of the sclera was assessed. Diffusion and partition coefficients for solutes of different molecular weights [sodium chloride (23 MW),(14)C sucrose (342 MW) and dextran-fluoresceins (3, 10, 40 and 70 kDa)] were measured in relation to tissue treatment. The results were used to determine the effect of tissue structure and composition on solute movement. We have found that: (1) diffusion and partition coefficients are sensitive to solute MW, decreasing as MW increases; (2) diffusion and partition coefficients are sensitive to tissue hydration, increasing as hydration increases; (3) crosslinking of the sclera by glutaraldehyde reduced the partition coefficients significantly for solutes with MW over 3 kDa; and (4) removal of glycosaminoglycans has only a small effect on either diffusion or the partition coefficient.
Precautionary Behavior and Violent Victimization: Do Safer Drinking Strategies Reduce Risk?

Abstract This study was undertaken to test if precautionary drinking behaviors can be associated with reduced risk of violent victimization. Some studies have shown that these behaviors (e.g. limiting alcohol intake, eating before or during drinking, and having friends close by) reduce the negative consequences of drinking, but very few have focused on criminal victimization. National College Health Assessment data from 20121 were utilized to examine the association between precautionary drinking behavior and violent victimization (physical assault or verbal threat), controlling for demographic and risky lifestyle factors. Regression analyses found that precautionary drinking behavior reduced the odds of victimization only among men who frequently drink. In this same group being “single” increased risk. Other variables were consistent predictors: drug use, multiple sex partners, mental health disorder, and first year student status. Binge drinking and having a disability were also frequent predictors. Finally, Black women but not men were more likely to be victimized. These results suggest that the risky or protective nature of types of drinking behaviors is gendered and taking precautions is especially important for men who drink frequently.
IC design-for-test and testability features

IC test is at a mature state where automated tools are used for DFT feature insertion and pattern generation. This paper summarizes the most common digital IC design-for-test (DFT) techniques in use today. Most of the focus is on testing and validating the correct operation of ICs after fabrication. However, many of the IC DFT features can also be re-used in higher level test and in the field. In addition, some of the concepts in the well known strategies used for IC testing may be also effective for higher level of assembly test. Some of the topics presented on include scan, automatic test pattern generation (ATPG), boundary scan, built-in self-test (BIST), memory BIST and repair, secure IC test, diagnostics, and test challenges.
MORPHOLOGY PARAMETERS FOR INTRACRANIAL ANEURYSM RUPTURE RISK ASSESSMENT

OBJECTIVEThe aim of this study is to identify image-based morphological parameters that correlate with human intracranial aneurysm (IA) rupture. METHODSFor 45 patients with terminal or sidewall saccular IAs (25 unruptured, 20 ruptured), three-dimensional geometries were evaluated for a range of morphological parameters. In addition to five previously studied parameters (aspect ratio, aneurysm size, ellipticity index, nonsphericity index, and undulation index), we defined three novel parameters incorporating the parent vessel geometry (vessel angle, aneurysm [inclination] angle, and [aneurysm-to-vessel] size ratio) and explored their correlation with aneurysm rupture. Parameters were analyzed with a two-tailed independent Student's t test for significance; significant parameters (P < 0.05) were further examined by multivariate logistic regression analysis. Additionally, receiver operating characteristic analyses were performed on each parameter. RESULTSStatistically significant differences were found between mean values in ruptured and unruptured groups for size ratio, undulation index, nonsphericity index, ellipticity index, aneurysm angle, and aspect ratio. Logistic regression analysis further revealed that size ratio (odds ratio, 1.41; 95% confidence interval, 1.03–1.92) and undulation index (odds ratio, 1.51; 95% confidence interval, 1.08–2.11) had the strongest independent correlation with ruptured IA. From the receiver operating characteristic analysis, size ratio and aneurysm angle had the highest area under the curve values of 0.83 and 0.85, respectively. CONCLUSIONSize ratio and aneurysm angle are promising new morphological metrics for IA rupture risk assessment. Because these parameters account for vessel geometry, they may bridge the gap between morphological studies and more qualitative location-based studies.
Fast Discriminative Visual Codebooks using Randomized Clustering Forests

Some of the most effective recent methods for content-based image classification work by extracting dense or sparse local image descriptors, quantizing them according to a coding rule such as k-means vector quantization, accumulating histograms of the resulting "visual word" codes over the image, and classifying these with a conventional classifier such as an SVM. Large numbers of descriptors and large codebooks are needed for good results and this becomes slow using k-means. We introduce Extremely Randomized Clustering Forests - ensembles of randomly created clustering trees - and show that these provide more accurate results, much faster training and testing and good resistance to background clutter in several state-of-the-art image classification tasks.
Psychoanalytic Contributions to the Study of the Emotional Life of Organizations

In light of increasing interest in organizational emotions, this article argues for a reintegration of psychoanalytic scholarship into the study of organizations. A brief presentation of social constructionist approaches to emotions in organizations is followed by a presentation of major psychoanalytic contributions to the study of emotions at individual, group, and organizational levels. The author argues for a rapprochement between constructionist views which emphasize the cultural character of emotional displays, and psychoanalytic views which explore the origins, vicissitudes, and communication of emotional experiences within individual or group biographies.
Towards Probabilistic Volumetric Reconstruction Using Ray Potentials

This paper presents a novel probabilistic foundation for volumetric 3D reconstruction. We formulate the problem as inference in a Markov random field, which accurately captures the dependencies between the occupancy and appearance of each voxel, given all input images. Our main contribution is an approximate highly parallelized discrete-continuous inference algorithm to compute the marginal distributions of each voxel's occupancy and appearance. In contrast to the MAP solution, marginals encode the underlying uncertainty and ambiguity in the reconstruction. Moreover, the proposed algorithm allows for a Bayes optimal prediction with respect to a natural reconstruction loss. We compare our method to two state-of-the-art volumetric reconstruction algorithms on three challenging aerial datasets with LIDAR ground truth. Our experiments demonstrate that the proposed algorithm compares favorably in terms of reconstruction accuracy and the ability to expose reconstruction uncertainty.
An Integrated Multi-channel System for Biomedical Signal Acquisition

A CMOS configurable system-on-chip (SoC) for biomedical signal acquisition is described. The SoC is composed of 10 channels, each channel including a programmable analog front-end (AFE) and a 20 bit analog-to-digital converter (ADC). The digitized signals are read out via a high-speed serial communication bus. The AFE includes a common-mode rejection ratio (CMRR) calibration circuitry resulting in a CMRR of more than 80 dB and an active DC-suppression circuitry giving the DC-coupled instrumentation amplifier the possibility to tolerate DC-offsets of up to ±1 V for a power supply voltage of 3.3 V. In lownoise mode the AFE achieves an input referred noise of less than 50 nVrms for EEG application (0.5-70 Hz) and the power consumption of a channel including AFE and ADC is less than 5 mW in low-power mode. A prototype has been fabricated in a 0.35 μm CMOS process.
Implicit Imitation of Regional Dialects in Typically Developing Adults and Adults with High-Functioning Autism

This study examined the effect of regional dialect on implicit spontaneous phonetic imitation in typically developing adults (TD) and adults with high functioning autism (HFA). Participants shadowed CVC target words produced by talkers from two American English dialect regions, the North and the Midland. Imitation was measured acoustically in terms of vowel quality, vowel duration, midpoint f0, f0 trajectory, and onset and coda consonant duration. It was hypothesized that TD shadowers would imitate familiar dialects less than unfamiliar dialects, based on previous results showing that high frequency words are imitated less than low frequency words (Goldinger, 1998). By extension, frequently encountered or familiar dialects should be imitated less than unfamiliar dialects. Effects of dialect familiarity were in the expected direction, with more imitation of unfamiliar dialects. TD shadowers also imitated perceptually salient targets, including those with long vowels, high f0, or rising f0. The TD productions and targets from the shadowing task were then used as stimulus materials in an AXB discrimination task to measure perceived imitation. Results suggest that TD shadowers were imitating some dialect features. Among the acoustic measures, perceived imitation was correlated with vowel duration and coda duration. HFA shadowers were expected to exhibit less imitation than TD shadowers based on research showing that impaired imitation is a characteristic of HFA (Stieglitz et al., 2008; Stone et al., 1990). This prediction was supported for vowel quality and onset duration, but HFA shadowers imitated vowel duration and midpoint f0 more than TD shadowers. HFA shadowers were less likely than TD shadowers to imitate perceptually long or high f0 vowels, but more likely to imitate long consonants. Effects of dialect familiarity for HFA shadowers were in the opposite direction from those for TD shadowers, with HFA shadowers imitating Northern targets less than the more familiar Midland targets. These
Measures of Desirability Beliefs and Their Validity as Indicators for Socially Desirable Responding

Social desirability (SD) bias is a serious threat for the quality of survey data, and SD beliefs predict the strength and direction of this bias. The validity of the most frequently used indicator for desirability beliefs, the one-point measure, depends on the neutrality and monotonic assumptions to be empirically valid. In the current study, the authors examine these completely untested assumptions by drawing on data about topics that are often the subject of survey research. These are prejudice against the elderly, charitable donations, voting in political elections, and environmental consciousness. The authors find that the neutrality assumption does not hold for substantial parts of the sample for all topics and the monotonic assumption is not valid for two of them. They introduce two new, more elaborated measures for desirability beliefs that allow for the valid prediction of SD bias when either one or both of the otherwise necessary assumptions do not hold.
Learning to comprehend deictic gestures in robots and human infants

In this paper, I discuss how visual information about deictic gestures influences learning that enables these gestures to be comprehended. It has been suggested that the ability of human infants to comprehend deictic gestures depends on the physical appearance of gestures, the movement of gestures, and the distance between gestures and the indicated targets. To understand the mechanisms involved, I apply a model that enables a robot to recognize the static orientation of a gesture as an edge image and movement as optical flow. Experiments using a robot reveal that (1) learning to comprehend reaching gestures with all fingers extended is more accelerated than learning to comprehend pointing with the index finger, and that (2) downward tapping movement facilitates learning more than pointing movement along the direction of the gesture. These results suggest that (1) the quantitative difference in the edge features of reaching and pointing that correspond to the directions of gestures influences learning speed, and that (2) the optical flow of tapping movement that offers qualitatively different information from that provided by the edge image makes learning easier than the optical flow of pointing movement.
Improve Template Matching Method in Mobile Augmented Reality for Thai Alphabet Learning

Due to Thai government policy give tablets to first grade students for use in learning and teaching. Mobile-augmented reality is used to help teach a powerful one. However, the most application programs are applied in English when used with the Thai alphabet is a decrease in performance. Therefore, we are developing template matching base-on ARToolKit used for Thai alphabet learning on mobile augmented reality. Especially, we are focusing on improvement character recognition for Thai alphabet learning, which enables extract character image as marker from mobile camera. To increasing the recognition rate of Thai alphabet base on ARToolKit by group similar shape for identifying each group of character. To dissimilarity, we propose a structured template matching technique for recognizing features such as knot of character. In this paper, we describe an abstract of our proposed method and present its experimental results.