Miracle-dz/UniFAR-FTUs huggingface dataset:
Group investigation: changing students’ speaking skill from of the perspective of communication apprehension (An Experimental Study on the Eighth Grade Students of SMP N 1 Trucuk Klaten in the Academic Year of 2013/2014)

This study aims at identifying whether 1) Group Investigation is moreeffective than direct method to teach speaking; 2) Students with low level ofcommunication apprehension have better speaking skill than those with high levelof communication apprehension; 3) there is an interaction between teachingmethods used and students? level of communication apprehension.The research was conducted in the second semester of the eighth grade ofSMP N 1 Trucuk in the academic year of 2013/2014. The sampling used wascluster random sampling. The samples were two classes which consist of 28students of class VIIIG as the experimental class and 28 students of class VIIIA asthe control class. The instruments used to collect research data cover thecommunication apprehension? s questionnaire, and speaking test.The data obtained after the treatment was analyzed using descriptiveanalysis and inferential analysis. Descriptive analysis was used to find out themean, median, mode, histogram and polygon of speaking score. Still, it isimportant to assign normality and homogeneity test as the prerequisite of usinginferential analysis. Normality test was used to know whether the sampledistributes normally or not while homogeneity test was used to know the data arehomogeneous or not. Inferential analysis used was ANOVA and Tukey Test. Thehypothesis was tested using ANOVA to find out whether the difference issignificant or not. If Ho is rejected, the analysis was continued to know the degreeof effectiveness between two method using tukey test. The finding reveals that:(1) Group Investigation is significantly different from direct method to teachspeaking; (2) the students with low level of communication apprehension havebetter speaking performance than those with high level of communicationapprehension; (3) there is an interaction between teaching methods and thestudents? level of communication apprehension.Based on research findings, it can be concluded that Group Investigation isan effective method to teach speaking to the eighth grade students of SMP N 1Trucuk in the academic year of 2013/2014. However, in the implementation of themethod, a teacher must consider the students? level of communicationapprehension. As proved in this research, communication apprehension influencesthe students? speaking skill. By considering the students? level of communicationapprehension, a teacher can use the method properly to teach speaking in order toimprove the students? achievment optimally. For other researchers, it is hoped thatthese research findings can be used as a reference for future researches. Moreover,other researchers may conduct researches viewed from other psychologicalaspects.Keywords: experimental research, speaking skill, group investigation, directmethod, communicaton apprehension
Differentiation between Vergence and Saccadic Functional Activity within the Human Frontal Eye Fields and Midbrain Revealed through fMRI

Purpose Eye movement research has traditionally studied solely saccade and/or vergence eye movements by isolating these systems within a laboratory setting. While the neural correlates of saccadic eye movements are established, few studies have quantified the functional activity of vergence eye movements using fMRI. This study mapped the neural substrates of vergence eye movements and compared them to saccades to elucidate the spatial commonality and differentiation between these systems. Methodology The stimulus was presented in a block design where the ‘off’ stimulus was a sustained fixation and the ‘on’ stimulus was random vergence or saccadic eye movements. Data were collected with a 3T scanner. A general linear model (GLM) was used in conjunction with cluster size to determine significantly active regions. A paired t-test of the GLM beta weight coefficients was computed between the saccade and vergence functional activities to test the hypothesis that vergence and saccadic stimulation would have spatial differentiation in addition to shared neural substrates. Results Segregated functional activation was observed within the frontal eye fields where a portion of the functional activity from the vergence task was located anterior to the saccadic functional activity (z>2.3; p<0.03). An area within the midbrain was significantly correlated with the experimental design for the vergence but not the saccade data set. Similar functional activation was observed within the following regions of interest: the supplementary eye field, dorsolateral prefrontal cortex, ventral lateral prefrontal cortex, lateral intraparietal area, cuneus, precuneus, anterior and posterior cingulates, and cerebellar vermis. The functional activity from these regions was not different between the vergence and saccade data sets assessed by analyzing the beta weights of the paired t-test (p>0.2). Conclusion Functional MRI can elucidate the differences between the vergence and saccade neural substrates within the frontal eye fields and midbrain.
Physics-Based Visual Understanding

An understanding of a scene's causal physics? how scene elements interact and respond to forces? is a precondition to reasoning about how the scene came to be, how it may evolve in time, and how it will respond to manipulation. We propose a computationally inexpensive method for recovering causal structure from images, in which a scene model is built incrementally through interleaved sensing and analysis. Reasoning uses generic qualitative knowledge about rigid-body interactions, reusable between domains and similar to concepts thought to be acquired or activated during child development. Causal constraint propagation reveals anomalous degrees of freedom in the scene model; prediction yields sensory plans to resolve them. Sensing operations are highly directed and local in scope, e.g., visual routines and proprioception. Inference depth and the number of pixels “touched” are bounded by the complexity of the scene. We present algorithms and semantics that have been successfully reused in several domains of highly structured scenes; in particular we detail a vision system that reverse-engineers machines.
The Cochaperone BAG2 Sweeps Paired Helical Filament- Insoluble Tau from the Microtubule

Tau inclusions are a prominent feature of many neurodegenerative diseases including Alzheimer's disease. Their accumulation in neurons as ubiquitinated filaments suggests a failure in the degradation limb of the Tau pathway. The components of a Tau protein triage system consisting of CHIP/Hsp70 and other chaperones have begun to emerge. However, the site of triage and the master regulatory elements are unknown. Here, we report an elegant mechanism of Tau degradation involving the cochaperone BAG2. The BAG2/Hsp70 complex is tethered to the microtubule and this complex can capture and deliver Tau to the proteasome for ubiquitin-independent degradation. This complex preferentially degrades Sarkosyl insoluble Tau and phosphorylated Tau. BAG2 levels in cells are under the physiological control of the microRNA miR-128a, which can tune paired helical filament Tau levels in neurons. Thus, we propose that ubiquitinated Tau inclusions arise due to shunting of Tau degradation toward a less efficient ubiquitin-dependent pathway.
Archaeological surveys in the lower Limpopo Valley, Limpopo National Park

This report presents the results of the first archaeological surveys in Limpopo National Park (Parque Nacional do Limpopo - PNL) in Mozambique.We discuss the different categories of sites, their research potential, and the possible relative ages. Sites dating from the Early Stone Age (ESA) to the Later Stone Age (LSA) have been identified as farming community settlements from both the first and second millennium AD. PNL is of particular interest when it comes to hunter-gatherer and farmer interactions, as foraging communities were reported in the area until the 1870s, and we raise the potential of further studies to elucidate this interaction.
Vapor-Phase Polymerized Poly(3,4-Ethylenedioxythiophene) on a Nickel Nanowire Array Film: Aqueous Symmetrical Pseudocapacitors with Superior Performance

Three-dimensional (3D) nanometal scaffolds have gained considerable attention recently because of their promising application in high-performance supercapacitors compared with plain metal foils. Here, a highly oriented nickel (Ni) nanowire array (NNA) film was prepared via a simple magnetic-field-driven aqueous solution deposition process and then used as the electrode scaffold for the vapor-phase polymerization of 3,4-ethylenedioxythiophene (EDOT). Benefiting from the unique 3D open porous structure of the NNA that provided a highly conductive and oriented backbone for facile electron transfer and fast ion diffusion, the as-obtained poly(3,4-ethylenedioxythiophene) (PEDOT) exhibited an ultra-long cycle life (95.7% retention of specific capacitance after 20 000 charge/discharge cycles at 5 A/g) and superior capacitive performance. Furthermore, two electrodes were fabricated into an aqueous symmetric supercapacitor, which delivered a high energy density (30.38 Wh/kg at 529.49 W/kg) and superior long-term cycle ability (13.8% loss of capacity after 20 000 cycles). Based on these results, the vapor-phase polymerization of EDOT on metal nanowire array current collectors has great potential for use in supercapacitors with enhanced performance.
Knowledge Discovery on Agricultural Dataset Using Association Rule Mining

—Data mining is a technique of analyzing the dataset such that the final conclusion can be accessed easily and quickly from the dataset. Here in this paper association rule mining technique is implemented for the analysis of agricultural dataset. The idea is to apply association rule mining technique for generating rules and establishing a relationship between them . So as to enhance crop productivity. Also a performance comparison is done between Apriori and FP Growth algorithm.
Precoding based on matrix decomposition for faster-than-Nyquist signaling

The faster-than-Nyquist (FTN) signaling is a bandwidth-efficient technology which has drawn attention in the bandwidth-starved world. Since the symbols appear too early, inter-symbol interference (ISI) cannot be avoided in the receiver. Decision feedback equalization (DFE) cancellation is an efficient interference cancellation and signal detection schemes for FTN based communication system. However, since the noise isn't considered, the DFE scheme performs badly at low Eb/N0. In order to further improve the detection performance, firstly, the detector based on minimum mean square error (MMS E) is investigated to at low Eb/No, and then the precoding scheme is introduced in FTN signaling, including: singular value decomposition (SVD), geometric mean decomposition (GMD). Simulation results show that the GMD precoding can perform better than DFE.
An analysis of globally connected active rotators with excitatory and inhibitory connections having different time constants using the nonlinear Fokker-Planck equations

The globally connected active rotators with excitatory and inhibitory connections having different time constants under noise are analyzed using the nonlinear Fokker-Planck equation, and their oscillatory phenomena are investigated. Based on numerically calculated bifurcation diagrams, both periodic solutions and chaotic solutions are found. The periodic firings are classified based on the firing period, the coefficient of variation, and the correlation coefficient, and weakly synchronized periodic firings which are often observed in physiological experiments are found.
Ma$$iv -- An Intelligent Mobile Grocery Assistant

We present Ma$$iv€, an intelligent mobile grocery assistant that provides support for the customer during the entire shopping process. To guide the design of Ma$$iv€, we conducted a user study that explored customer preferences regarding features in a mobile grocery aid. We first describe the study and its results, after which we introduce the design principles and design of Ma$$iv€. We also describe the features that Ma$$iv€ supports and discuss functionalities that we are integrating into Ma$$iv€. As part of the discussion, we describe technical challenges that we have encountered during our development efforts.
miR-203 Expression in Exfoliated Cells of Tongue Coating Represents a Sensitive and Specific Biomarker of Gastroesophageal Reflux Disease

Background and Aim. MicroRNAs (miRNAs) have been implicated in the pathophysiology of numerous human diseases including gastroesophageal reflux disease (GERD). The objective of this study was to investigate the miRNA expression of exfoliated cells of the tongue in patients with GERD versus healthy controls (Ctrls). Methods. Using quantitative reverse-transcription PCR (qRT-PCR), expression levels of six candidate miRNAs (miR-143, miR-145, miR-192, miR-194, miR-203, and miR-205) were examined across a discovery cohort of patients with GERD (n = 24) versus Ctrls (n = 24). These findings were confirmed across a validation cohort (GERD, n = 142; Ctrls, n = 48). Differences in miRNA expression levels were evaluated using the Mann-Whitney U test while the specificity and sensitivity were obtained using receiver-operator characteristic (ROC) curves. Results. miR-203 was significantly downregulated in GERD patients as compared to Ctrls (P < 0.0001) with ROC curve of 0.94 (95% CI: 0.90–0.97). The sensitivity and the specificity of miR-203 were 91.7% and 87.3%, respectively, in the GERD and Ctrls. These results suggest that miR-203 may be a useful diagnostic marker for discriminating GERD from Ctrls. Conclusions. miR-203 testing may assist in the diagnosis of patients with symptoms suggestive of GERD.
New Small Nuclear RNA Gene-Like Transcriptional Units as Sources of Regulatory Transcripts

By means of a computer search for upstream promoter elements (distal sequence element and proximal sequence element) typical of small nuclear RNA genes, we have identified in the human genome a number of previously unrecognized, putative transcription units whose predicted products are novel noncoding RNAs with homology to protein-coding genes. By elucidating the function of one of them, we provide evidence for the existence of a sense/antisense-based gene-regulation network where part of the polymerase III transcriptome could control its polymerase II counterpart.
Evaluation Framework for Interface Usability in Visualization of Electronic Health Records

Information Visualization Frameworks potentially help designers to drive a visual tool to infer data from single or multiple Electronic Health Records (EHR) for clinicians. Different types of Frameworks have been evolved to address the interpretation issues from complex datasets and associated problems in interfaces of Visual Analytic Systems for EHR. But less attention has been provoked towards the process of data representation in a standardized format as per convenience for physicians to visualize these records. Existing frameworks are based on different ideas mostly dataset like 2D or 3D applications but lacking use of complex datasets as multiple EHR. Visualization of multiple EHR in a user friendly format often leads to complexity by representing an unnecessary, out of line and unwanted information format making difficult for clinicians to grasp patients history information.The major objective of this paper, is to highlight the issues pertaining to interpretation difficulties using interfaces of the existing applications and leading to a framework generation for a future EHR application. This framework is based on combination of both designers and clinicians perspectives. It will help to better encompass the only required information in an understandable representation at interface level to eliminate complexity of generated visualization.
Entanglement Entropy and Twist Fields

The entanglement entropy of a subsystem of a quantum system is expressed, in the replica approach, through analytic continuation with respect to n of the trace of the n-th power of the reduced density matrix. This trace can be thought of as the vacuum expectation value of a suitable observable in a system made with n independent copies of the original system. We use this property to numerically evaluate it in some two-dimensional critical systems, where it can be compared with the results of Calabrese and Cardy, who wrote the same quantity in terms of correlation functions of twist fields of a conformal field theory. Although the two calculations match perfectly even in finite systems when the analyzed subsystem consists of a single interval, they disagree whenever the subsystem is composed of more than one connected part. The reasons of this disagreement are explained.
Design and Validation of a CT- and MRI-Guided Robot for Percutaneous Needle Procedures

This paper describes the design and evaluation of the second generation of a robotic system called the light puncture robot for thoracic and abdominopelvic interventional radiology procedures under CT and MRI guidance. It is mounted on the patient's body and positions and inserts the needle according to the trajectory and target chosen by the radiologist in the image. The mechanical design is described in detail along with its forward and inverse kinematics. The robot can be segmented and registered fully automatically in both imaging modalities. Phantom experiments in the CT scanner and preliminary feasibility experiments in the MRI are described, showing a targeting accuracy of 3.3 ± 1.7 mm in gelatin for depths ranging from 30 to 90 mm and needle orientations of -13° to +15° about normal from the patient's skin. A detailed error analysis is discussed along with potential improvements in the system. The potential clinical advantages of the system include higher targeting accuracy for complex dual obliquity trajectories, the need for fewer images, and improved accessibility to MRI-guided interventions.
Cancer risks in BRCA2 families: estimates for sites other than breast and ovary

Background: In BRCA2 mutation carriers, increased risks have been reported for several cancer sites besides breast and ovary. As most of the families included in earlier reports were selected on the basis of multiple breast/ovarian cancer cases, it is possible that risk estimates may differ in mutation carriers with a less striking family history. Methods: In the Netherlands, 139 BRCA2 families with 66 different pathogenic mutations were included in a nationwide study. To avoid testing bias, we chose not to estimate risk in typed carriers, but rather in male and female family members with a 50% prior probability of being a carrier (n = 1811). The relative risk (RR) for each cancer site with the exception of breast and ovarian cancer was determined by comparing observed numbers with those expected, based on Dutch cancer incidence rates. Results: We observed an excess risk for four cancer sites: pancreas (RR 5.9; 95% confidence interval (CI) 3.2 to 10.0), prostate (2.5; 1.6 to 3.8), bone (14.4; 2.9 to 42.1) and pharynx (7.3; 2.0 to 18.6). A small increase was observed for cancer of the digestive tract (1.5; 1.1 to 1.9). Histological verification was available for 46% of the tumours. Nearly all increased risks reached statistical significance for men only. Cancer risks tended to be higher for people before the age of 65 years. Moreover, families with mutations outside the previously defined ovarian cancer cluster region tended to have a higher cancer risk. Conclusions: We found that BRCA2 carriers are at increased risk for cancers of the prostate and pancreas, and possibly bone and pharynx. Larger databases with extended follow up are needed to provide insight into mutation specific risks of selected carriers in BRCA2 families.
Early attempts at desistance from crime: Prisoners’ prerelease expectations and their postrelease criminal behavior

ABSTRACT Recent attention has been paid to the role of a positive outlook in early stages of the desistance process. The aim of this article is to examine prisoners’ own expectations regarding future offending before they are released, and why these expectations come true or not after their release from prison. Longitudinal data were used from in-depth interviews with 24 prisoners who were interviewed at the end of their sentence and three months after release about their future outlook on criminal activities, social capital and agency factors, and current criminal activities. Findings suggest a strong connection between criminal and non-criminal expectations and post-release criminal behavior.
Bacterial toxin-antitoxin systems

Toxin-antitoxin (TA) systems are composed of two elements: a toxic protein and an antitoxin which is either an RNA (type I and III) or a protein (type II). Type II systems are abundant in bacterial genomes in which they move via horizontal gene transfer. They are generally composed of two genes organized in an operon, encoding a toxin and a labile antitoxin. When carried by mobile genetic elements, these small modules contribute to their stability by a phenomenon denoted as addiction. Recently, we developed a bioinformatics procedure that, along with experimental validation, allowed the identification of nine novel toxin super-families. Here, considering that some toxin super-families exhibit dramatic sequence diversity but similar structure, bioinformatics tools were used to predict tertiary structures of novel toxins. Seven of the nine novel super-families did not show any structural homology with known toxins, indicating that combination of sequence similarity and three-dimensional structure prediction allows a consistent classification. Interestingly, the novel super-families are translation inhibitors similar to the majority of known toxins indicating that this activity might have been selected rather than more detrimental traits such as DNA-gyrase inhibitors, which are very toxic for cells.
Incoherent dictionary learning for sparse representation based image denoising

Dictionary learning for sparse representation has been an active topic in the field of image processing. Most existing dictionary learning schemes focus on the representation ability of the learned dictionary. However, according to the theory of compressive sensing, the mutual incoherence of the dictionary is of crucial role in the sparse coding. Thus incoherent dictionary is desirable to improve the performance of sparse representation based image restoration. In this paper, we propose a new incoherent dictionary learning model that minimizes the representation error and the mutual incoherence by incorporating the constraint of mutual incoherence into the dictionary update model. The optimal incoherent dictionary is achieved by seeking an optimization solution. An efficient algorithm is developed to solve the optimization problem iteratively. Experimental results on image denoising demonstrate that the proposed scheme achieves better recovery quality and converges faster than K-SVD while keeping lower computation complexity.