Miracle-dz/UniFAR-FTUs huggingface dataset:
A frequency domain stereophonic acoustic echo canceler exploiting the coherence between the channels

Stereophonic acoustic echo cancellation (AEC) is typically intended for use in high quality teleconferencing systems and multiparticipant desktop conferencing that implement sound transmission through two channels. Because of the high correlation between the two channel signals, rapidly converging adaptive filter algorithms (such as the two-channel fast recursive least-squares—FRLS) are required. In this paper, we propose a new and efficient frequency domain adaptive algorithm that achieves this goal.
Visual Motion Estimation for Tumbling Satellite Capture

Robotic service vehicles are presently seen as a viable means for performing satellite maintenance and ESA (European Space Agency) is presently investigating the possible characteristics and potential of a Geostationary Service Vehicle (GSV). A stereovision tracking system should be included in this GSV to help the operator track and capture the target satellite. This paper deals with a system, called TV-Trackmeter, previously developed for underwater robotics, featuring contemporary tracking and 3D measurements of more points. It is capable of providing rigid body real time pose evaluation and it is fitted with algorithms to recover the lost tracked targets. Trials have been carried out in the ESA-ESTEC premises, in order to evaluate the applicability of this concept to the satellite capture. A satellite mock-up has been moved by an industrial manipulator to simulate real motion of a free object in space. The results have proved the soundness of the approach, featuring for the linear position accuracy in the order of ±3 [mm] @ 3.5 [m] for the x and z axes and ±5 [mm] @ 3.5 [m] for the y axis. As regards the angular position error about the y axis is the smaller one, about ±0.5 [deg], while it is ±1 [deg] on the remaining axes.
Use of a large general practice syndromic surveillance system to monitor the progress of the influenza A(H1N1) pandemic 2009 in the UK

SUMMARY The Health Protection Agency/QSurveillance national surveillance system utilizes QSurveillance® a recently developed general practitioner database covering over 23 million people in the UK. We describe the spread of the first wave of the influenza A(H1N1) pandemic 2009 using data on consultations for influenza-like illness (ILI), respiratory illness and prescribing for influenza from 3400 contributing general practices. Daily data, provided from 27 April 2009 to 28 January 2010, were used to give a timely overview for those managing the pandemic nationally and locally. The first wave particularly affected London and the West Midlands with a peak in ILI in week 30. Children aged between 1 and 15 years had consistently high consultation rates for ILI. Daily ILI rates were used for modelling national weekly case estimates. The system enabled the ‘real-time’ monitoring of the pandemic to a small geographical area, linking morbidity and prescribing for influenza and other respiratory illnesses.
Literacy Affects Spoken Language in a Non-Linguistic Task: An ERP Study

It is now commonly accepted that orthographic information influences spoken word recognition in a variety of laboratory tasks (lexical decision, semantic categorization, gender decision). However, it remains a hotly debated issue whether or not orthography would influence normal word perception in passive listening. That is, the argument has been made that orthography might only be activated in laboratory tasks that require lexical or semantic access in some form or another. It is possible that these rather “unnatural” tasks invite participants to use orthographic information in a strategic way to improve task performance. To put the strategy account to rest, we conducted an event-related brain potential (ERP) study, in which participants were asked to detect a 500-ms-long noise burst that appeared on 25% of the trials (Go trials). In the NoGo trials, we presented spoken words that were orthographically consistent or inconsistent. Thus, lexical and/or semantic processing was not required in this task and there was no strategic benefit in computing orthography to perform this task. Nevertheless, despite the non-linguistic nature of the task, we replicated the consistency effect that has been previously reported in lexical decision and semantic tasks (i.e., inconsistent words produce more negative ERPs than consistent words as early as 300 ms after the onset of the spoken word). These results clearly suggest that orthography automatically influences word perception in normal listening even if there is no strategic benefit to do so. The results are explained in terms of orthographic restructuring of phonological representations.
Why the real self is fundamental to intentional change

Purpose – The purpose of this paper is to explore the role of the real self in intentional change.Design/methodology/approach – Social science theory and research are used to respond to four primary questions: what is the real self, why is the real self essential to intentional change, how does one access the real self, and what are the challenges to accessing the real self with respect to intentional change? Findings – The implications of this paper suggest scholars and practitioners should revisit the assumptions made in employee and leadership competency development efforts by seeking to draw upon a more comprehensive self of the individual being developed. Implications for further research show the need for a new direction in multisource feedback assessment research and use and empirical studies that understand the real self in relation to the other components of intentional change theory (ICT). Practical implications – Implications for practice reveal a need to rethink how executive coaches and human r.
The micron-scale structural organization of hippocampal area CA1 neuropil

Various structures in the brain contain many important clues to the brain? s development and function. Among these, the microscopic organization of neural tissue is of particular interest since such organization has direct potential to affect the formation of local synaptic connectivity between axons and dendrites, serving as an important factor affecting the brain? s development. While the organization of the brain at large and intermediate scales had been well studied, the organization of neural tissue at micrometer scales remains largely unknown. In particular, at present it is not known what specific structures exist in neuropil at micrometer scales, what effect such structures have on formation of synaptic connectivity, and what processes shape the micrometer-scale organization of neuropil. In this work, we present an analysis of recent electron microscopy reconstructions of blocks of neuropil tissue from rat s. radiatum of hippocampal CA1 to provide insights into these questions. We propose a new statistical method for systematically analyzing the small-scale organization of neuropil based on an adaptation of the approach of radial distribution functions from statistical physics. Our results show that the micrometer-scale organization of hippocampal CA1 neuropil can be viewed as a disordered arrangement of axonal and dendritic processes without significant small-scale positional coordinations. We observe several deviations from this picture in the distributions of glia and dendritic spines. Finally, we study the relationship between local synaptic connectivity and the small-scale organization of neuropil.
Product feasibility verification in software product line

Nowadays, the software product lines (SPLs) are one of the production paradigm to improve the performance of the software companies. Nevertheless, SPLs have some complexity issues like the verification of product feasibility that have to be address. SPLs frequently use Orthogonal Variability Models (OVMs) to express variability in their portfolio of products. In our approach we use Petri Nets to represent and analyze OVMs and we focus on the decisions regarding with the inclusion and exclusion of variation points and variants. This approach offers a more comprehensive knowledge about the activities sequence necessary to build a product in a SPLs context. We adopt an event/condition perspective to model the dependencies using Petri nets formalism. The Petri nets bring us the capability to simulate the dynamic behavior of systems and to use many properties of them to avoid the product feasibility problems aforementioned.
The roles of people in conservation

The study of human beings in conservation is often eclipsed by the study of threatened species and their environments. This is surprising given that conservation activities are human activities, and that the very need for conservation arises out of human actions. In this chapter, we begin with the premise that understanding human activities and human roles in conservation is fundamental to effective conservation. Specifically, we address the following: · Conservation history: how has conservation changed since its inception? · Common conservation perceptions: how do conservationists characterize the relationship between human beings and the environment, and how have these perceptions influenced the trajectory of conservation? · Organizational institutions: What factors mediate the relationship between human beings and their environments? What implications do these have for conservation?
The Academic Resilience of Mexican American High School Students

This study sought to identify factors that contribute to the academic resilience and achievement among Mexican American high school students. High-and low-achieving students were selectedfrom a database that included 2,169 Mexican American students in three California high schools. Resilient students (N = 133) reported receiving mostly A grades in high school, whereas nonresilient students (N = 81) reported mostly grades of D or below. Variables were formedfrom items on a questionnaire that all students had previously completed. Items selectedfor analysis included role offamily, teachers, and peers toward school; the school environment and belonging; and the importance of culture andfamily. Regression analysis on student grade point average (GPA) revealed that a sense of belonging to school was the only significant predictor of academic resilience. An ANOVA revealed that teacherfeedback was greater among resilient males in comparison to nonresilient males.
Analyzing Explicitly-Structured Discourse in a Limited Domain: Trouble and Failure Reports

Recent theories of focusing and reference rely crucially on discourse structure to constrain the availability of discourse entities for reference, but deriving the structure of an arbitrary discourse has proved to be a significant problem. A useful level of problem reduction may be achieved by analyzing discourse in which the structure is explicit, rather than implicit. In this paper we consider a genre of explicitly-structured discourse: the Trouble and Failure Report (TFR), whose structure is both explicit and constant across discourses. We present the results of an analysis of a corpus of 331 TFRs, with particular attention to discourse segmentation and focusing. We then describe how the Trouble and Failure Report was automated in a prototype data collection and information retrieval application, using the PUNDIT natural-language processing system.
Impact of del32–71-GH (Exon 3 Skipped GH) on Intracellular GH Distribution, Secretion and Cell Viability: A Quantitative Confocal Microscopy Analysis

Background: Familial isolated growth hormone deficiency (IGHD) is a disorder with about 5–30% of patients having affected relatives. Among those familial types, IGHD type II is an autosomal dominant form of short stature, associated in some families with mutations that result in missplicing to produce del32–71-GH, a GH peptide which cannot fold properly. The mechanism by which this mutant GH may alter the controlled secretory pathway and therefore suppress the secretion of the normal 22-kDa GH product of the normal allele is not known in detail. Previous studies have shown variance depending on cell type, transfection technique used, as well as on the method of analysis performed. Aim: The aim of our study was to analyse and compare the subcellular distribution/localization of del32–71-GH or wild-type (wt)-GH (22-kDa GH), each stably transfected into AtT-20, a mouse pituitary cell line endogenously producing ACTH, employed as the internal control for secretion assessment. Methods: Co-localizationof wt- and del32–71 mutant GH form was studied by quantitative confocal microscopy analysis. Using the immunofluorescent technique, cells were double stained for GH plus one of the following organelles: endoplasmic reticulum (ER anti-Grp94), Golgi (anti-βCOP) or secretory granules (anti-Rab3a). In addition, GH secretion and cell viability were analysed in detail. Results/Conclusions: Our results show that in AtT-20 neuroendocrine cells, in comparison to the wt-GH, the del32–71-GH has a major impact on the secretory pathway not only affecting GH but also other peptides such as ACTH. The del32–71-GH is still present at the secretory vesicles’ level, albeit in reduced quantity when compared to wt-GH but, importantly, was secretion-deficient. Furthermore, while focusing on cell viability an additional finding presented that the various splice site mutations, even though leading eventually to the same end product, namely del32–71-GH, have different and specific consequences on cell viability and proliferation rate.
Simple Strategies or Simple Tasks? Dynamic Decision Making in “Complex” Worlds

Decision makers in operational environments perform in a world of dynamism, time pressure, and uncertainty. Perhaps the most stable empirical finding to emerge from naturalistic studies in these domains is that, despite apparent task complexity, performers only rarely report the use of complex, enumerative decision strategies. If we accept that decision making in these domains is often effective, we are presented with a dilemma: either decision strategies are (covertly) more complex than these performers claim, or these tasks are (subtlely) more simple than they might appear. We present a set of empirical findings and modeling results which suggest the latter explanation: that the simplicity of decision making is not merely apparent but largely real, and that tasks of high apparent complexity may yet admit to rather simple types of decision strategies. We also discuss empirical evidence that sheds light on the error forms resulting from the tendency of performers to seek and employ heuristic solutions to dynamic, uncertain decision problems.
Implicit Transfer of Reversed Temporal Structure in Visuomotor Sequence Learning

Some spatio-temporal structures are easier to transfer implicitly in sequential learning. In this study, we investigated whether the consistent reversal of triads of learned components would support the implicit transfer of their temporal structure in visuomotor sequence learning. A triad comprised three sequential button presses ([1][2][3]) and seven consecutive triads comprised a sequence. Participants learned sequences by trial and error, until they could complete it 20 times without error. Then, they learned another sequence, in which each triad was reversed ([3][2][1]), partially reversed ([2][1][3]), or switched so as not to overlap with the other conditions ([2][3][1] or [3][1][2]). Even when the participants did not notice the alternation rule, the consistent reversal of the temporal structure of each triad led to better implicit transfer; this was confirmed in a subsequent experiment. These results suggest that the implicit transfer of the temporal structure of a learned sequence can be influenced by both the structure and consistency of the change.
Experimental investigation of high performance induction motor control based on optimal preview controller

High performance induction motor (IM) drive system fed from space vector pulse width modulated (SVPWM) inverter and based on optimal preview control theory is realized by using low cost multifunction data acquisition card (DAC). The synthesized control algorithm achieves motor speed control, constant flux control and field orientation control via an optimized input vector command contains the synchronous angular speed and the two components of the stator voltage space vector in the synchronous reference frame. The input vector command is realized by generating sector dependent digital words represent the SVPWM switching patterns on the DAC digital lines therefore, the storage memory is minimized and the saw tooth carrier generator is eliminated. The novel error system used in building the optimal preview controller can cure the adverse phenomena caused by parameter uncertainty and unmodeled dynamics. Also few future values of the desired and disturbance signal improve the transient response of the drive system. Extensive experimental results have been carried out to show the effectiveness and applicability of the proposed control system.
A Bottom-Up Approach for Automatically Grouping Sensor Data Layers by their Observed Property

The Sensor Web is a growing phenomenon where an increasing number of sensors are collecting data in the physical world, to be made available over the Internet. To help realize the Sensor Web, the Open Geospatial Consortium (OGC) has developed open standards to standardize the communication protocols for sharing sensor data. Spatial Data Infrastructures (SDIs) are systems that have been developed to access, process, and visualize geospatial data from heterogeneous sources, and SDIs can be designed specifically for the Sensor Web. However, there are problems with interoperability associated with a lack of standardized naming, even with data collected using the same open standard. The objective of this research is to automatically group similar sensor data layers. We propose a methodology to automatically group similar sensor data layers based on the phenomenon they measure. Our methodology is based on a unique bottom-up approach that uses text processing, approximate string matching, and semantic string matching of data layers. We use WordNet as a lexical database to compute word pair similarities and derive a set-based dissimilarity function using those scores. Two approaches are taken to group data layers: mapping is defined between all the data layers, and clustering is performed to group similar data layers. We evaluate the results of our methodology.
EFECTOS DE UN PROGRAMA DE ENTRENAMIENTO SOBRE EL ESTADO DE ÁNIMO Y LA ANSIEDAD EN MUJERES SEDENTARIAS

Effects of training on mood and anxiety in sedentary women. The aim of this study was to analize the effects of physical activity on fitness and psychological well-being as well as different effects between aerobic and anaerobic exercise. Fourteen sedentary women who participated in a training program were compared with a control group (n=12) in mood and anxiety before and after the treatment. The results show that training program performed produces increases in fitness, slight decreases in Cognitive-anxiety but almost no changes on the mood scales studied. Finally, anaerobic exercise enhances Fatigue and Somatic-anxiety and decreases Vigor.
Singularities in Droplet Pinching with Vanishing Viscosity

A slender-jet model for the pinching of a liquid column is considered in the limit of vanishing viscosity. We find the model to develop a singularity in the gradients of the local radius and the velocity at a finite thread radius, so it does not describe breakup. However, the observed steepening of the profile corresponds to experiments and simulations with fluids at low viscosity. The singularity has a self-similar form, which we compute analytically. The result agrees well with numerical simulations of the model equations.
Preparation of total RNA from Monosiga brevicollis and other choanoflagellates.

Cold Spring Harb Protoc; Nicole King, Susan L. Young, Monika Abedin, Martin Carr and Barry S.C. Leadbeater and Other Choanoflagellates Monosiga brevicollis Preparation of Total RNA from Service Email Alerting click here. Receive free email alerts when new articles cite this article Categories Subject Cold Spring Harbor Protocols. Browse articles on similar topics from (62 articles) RNA Purification (212 articles) RNA (1009 articles) Molecular Biology, general (880 articles) Laboratory Organisms, general (322 articles) Genetics, general (284 articles) Emerging Model Organisms (1037 articles) Cell Biology, general
Attachment, group attraction and self-other agreement in interpersonal circumplex problems and perceptions of group members.

Graduate students (N 76) fulfilling a class requirement for interpersonal group participation completed measures of interpersonal problems and adult attachment at pretest. At the midpoint and at termination they completed measures of interpersonal problems and group attraction and provided interpersonal circumplex ratings of each fellow group member. As predicted, selected attachment insecurities were significantly correlated with interpersonal problems and group attraction. Attachment anxiety and avoidance, also as hypothesized, were associated with discrepancies in self–other perceptions. Whereas members with attachment avoidance tended to overestimate hostile and hostile–submissive problems, members with attachment anxiety were likely to overestimate interpersonal problems in the “friendly” half of the circumplex. Implications for the conceptualization of attachment-based distortions and interpersonal learning in group therapy are discussed.
Energy efficient spinal scheduling on mobile sensors

In this paper we have devised an energy saving scheme for the mobile sensors in wireless sensor network. Here we uses a proposed technique called Spinal Scheduling (SPS) for power conservation in mobile sensors. Motion less design is a common design because long term motion will consume a lot of energy. Power conservation in mobile sensors can be achieved based on the SPS, in this traffic is only forwarded by spinal sensor nodes, and the rest of the sensor nodes turn off their radios to save energy. Mobile sensors are duty-cycled and have the same working cycle. We define T continuous cycles as a round, where T >1, T is a tuneable parameter. At the beginning of each round, a spinal is selected to work in duty-cycling.
Interparticle Coupling Effects on Plasmon Resonances of Nanogold Particles

The collaborative oscillation of conductive electrons in metal nanoparticles results in a surface plasmon resonance that makes them useful for various applications including biolabeling. We investigate the coupling between pairs of elliptical metal particles by simulations and experiments. The results demonstrate that the resonant wavelength peak of two interacting particles is red-shifted from that of a single particle because of near-field coupling. It is also found that the shift decays approximately exponentially with increasing particle spacing and become negligible when the gap between the two particles exceeds about 2.5 times the particle short-axis length.
Community Comparison in Communication Networks

If we draw the virtual topology representing the communication in networks, we observe that the structure is similar to those of the social networks. Social networks are these networks with the characteristic relating densely some entities than others. These dense zones are called communities. Generally, the members of a same community share the same interest. In this work, we look for which virtual topology (called communication graph) emerged in communication network gives communities closer to the real one. Three different communication graphs are generated and compared with the graph representing the real communities, the reference graph. Microscopic and macroscopic comparisons are done.