Miracle-dz/UniFAR-FTUs huggingface dataset:
Being clouds, pulling teeth and using their breadloaves : a multimodal micro-analysis of instantiations of child-to-child interaction in classroom contexts

This study examines the ways in which children communicate and collaborate with one another whilst working on curriculum tasks in an educational setting. It uses an approach to methodology founded on Linguistic Anthropology and Linguistic Ethnography and informed by a social-semiotic theory of communication, drawing upon field notes and video-recorded data from a class of nine and ten year olds at a Sheffield primary school. A framework informed by sociolinguistic theory and multimodal analyses of communication has been devised to analyse the data in such a way that the many and varied modes of meaning-making employed by the children are considered. The purpose of the study is to gain a deeper understanding of the ways in which children creatively employ semiotic resources in their face-to-face spontaneous interactions. The main findings of the study are that modes of meaning-making are integral to the communicative activity and work in coordination with each other. Features which have been noted in linguistic studies of interaction can be seen in this multimodal study and could be classed as features of multimodal communication rather than linguistic features. In addition, child-to-child classroom meaning-making is intersubjective and collaborative. Knowledge can be presented through any chosen mode and can be developed collaboratively through multiple modes. The study has implications for pedagogy in that educationalists need to be aware of the multimodal nature of children's interactions, recognise the value of the semiotic work of pupils and ensure opportunities for meaning-making using multiple modes are planned for. The implications for future research are that methodological approaches need to take account of the use of all modes in interactions in order to gain a thicker description of what is taking place than could be achieved with a language-dominant approach.
Egg envelopes and cuticle renewal in Porcellio embryos and marsupial mancas

Abstract An important adaptation to land habitats in terrestrial isopod crustaceans is development of embryos in a fluid-filled female brood pouch, marsupium. The study brings insight into the structure and protective role of egg envelopes and cuticle renewal during ontogenetic development of Porcellio embryos and marsupial mancas. Egg envelopes cover embryos, the outer chorion until late-stage embryo and the inner vitelline membrane throughout the whole embryonic development. Egg envelopes of Porcellio have relatively simple ultrastuctural architecture compared to Drosophila egg envelopes. Exoskeletal cuticle is produced in late embryonic development by hypodermal cells of the embryo and is renewed in further development in relation to growth of developing embryos and mancas. Cuticle structure and renewal in prehatching late-stage embryos and marsupial mancas exhibit main features of cuticle in adults. Epicuticle is thin and homogenous. The characteristic arrangement of chitin-protein fibers and the dense distal layer in exocuticle are hardly discernible in prehatching embryo and distinct in marsupial mancas. Endocuticle consists of alternating electron dense and electron lucent sublayers and is perforated by pore canals in both stages. Differences from adult cuticle are evident in cuticle thickness, ultrastructure and mineralization. Signs of cuticle renewal in prehatching embryo and marsupial mancas such as detachment of cuticle from hypodermis, partial disintegration of endocuticle and assembly of new cuticle are described.
A Novel Sorting Algorithm for Many-core Architectures Based on Adaptive Bitonic Sort

Adaptive bitonic sort is a well known merge-based parallel sorting algorithm. It achieves optimal complexity using a complex tree-like data structure called a bitonic tree. Due to this, using adaptive bitonic sort together with other algorithms usually implies converting bitonic trees to arrays and vice versa. This makes adaptive bitonic sort inappropriate in the context of hybrid sorting algorithms where frequent switches between algorithms are performed. In this article we present a novel optimal sorting algorithm that is based on an approach similar to adaptive bitonic sort. Our approach does not use bitonic trees but uses the input array together with some additional information. Using this approach it is trivial to switch between adaptive bitonic sort and other algorithms. We present an implementation of a hybrid algorithm for GPUs based on bitonic sort and our novel algorithm. This implementation turns out to be the fastest comparison-based sorting algorithm for GPUs found in literature.
06 01 10 3 v 2 2 1 Fe b 20 06 A Quick Guide to SUSY Tools ∗

The last decade has seen the emergence of a wide range of automated calculations for supersymmetric extensions of the Standard Model. This guide contains a brief summary of these, with the main focus on hadron collider phenomenology, as well as a brief introduction to the so-called SUSY Les Houches Accord. See also the Les Houches Web Repository for BSM Tools: http://www.ippp. dur.ac. uk/montecarlo/BSM/
Descent for quasi-coherent sheaves on stacks

We give a homotopy theoretic characterization of sheaves on a stack and, more generally, a presheaf of groupoids on an arbitary small site C. We use this to prove homotopy invariance and generalized descent statements for categories of sheaves and quasi-coherent sheaves. As a corollary we obtain an alternate proof of a generalized change of rings theorem of Hovey.
Reconstruction Algorithms for Positron Emission Tomography and Single Photon Emission Computed Tomography and their Numerical Implementation

The modern imaging techniques of Positron Emission Tomography and of Single Photon Emission Computed Tomography are not only two of the most important tools for studying the functional characteristics of the brain, but they now also play a vital role in several areas of clinical medicine, including neurology, oncology and cardiology. The basic mathematical problems associated with these techniques are the construction of the inverse of the Radon transform and of the inverse of the so called attenuated Radon transform respectively. We first show that, by employing mathematical techniques developed in the theory of nonlinear integrable equations, it is possible to obtain analytic formulas for these two inverse transforms. We then present algorithms for the numerical implementation of these analytic formulas, based on approximating the given data in terms of cubic splines. Several numerical tests are presented which suggest that our algorithms are capable of producing accurate reconstruction for realistic phantoms such as the well known Shepp--Logan phantom.
A multicentre, randomised trial examining the effect of test procedures measuring emergence from post-traumatic amnesia

Background: Post-traumatic amnesia (PTA) tests that record different PTA durations in the same patient, thereby raising measurement accuracy issues, have been reported previously. A major problem lies in determining the end point of PTA. Aims: To delineate areas of discrepancy in PTA tests and to provide independent verification for a criterion signalling emergence from PTA. Methods: In a randomised design, two related PTA procedures were compared, one purportedly more difficult (Westmead PTA Scale, WPTAS) than the other (Modified Oxford PTA Scale, MOPTAS). Eighty two patients in the early stages of PTA were examined daily until emergence, by using the Galveston Orientation and Amnesia Test (GOAT) and the WPTAS/MOPTAS. A short battery of cognitive and behavioural measurements was made on three occasions: at the early stage of PTA (time 1), towards the end of PTA when the maximum score (12/12) was first obtained (time 2) and at the traditional criterion for emergence (scoring 12/12 for 3 consecutive days; time 3). Results: No significant difference was recorded in PTA duration between the MOPTAS and WPTAS. Both scales recorded longer PTA durations than the GOAT. By using Kaplan–Meier survival analyses, the WPTAS was found to show a more protracted pattern of emergence at the end stage of PTA than the MOPTAS. A time lag of ⩾1 week in the resolution of disorientation as compared with amnesia was observed in 59% cases. Significant improvements occurred on all independent measurements between time 1 and time 2, but on only 2 of 5 cognitive measurements between time 2 and time 3. Conclusions: Although no significant differences in the duration of PTA on the MOPTAS/WPTAS were recorded, emergence from the late stages of PTA occurred more promptly with the MOPTAS. The need for inclusion of both orientation and memory items in PTA tests is highlighted by the frequency of disorientation–amnesia dissociations. The patterns of results on the independent measures suggest that patients who are in PTA for > 4 weeks have probably emerged from PTA when they first score 12/12 on the MOPTAS/WPTAS, and this criterion can replace the traditional criterion.
The Designation of Co-benefits and Its Implication for Policy: Water Quality versus Carbon Sequestration in Agricultural Soils

This study investigates the implications of treating different environmental benefits as the primary target of policy design. We focus on two scenarios, estimating for both of them in-stream sediment, nutrient loadings, and carbon sequestration. In the first, we assess the impact of a program designed to improve water quality in Iowa on carbon sequestration, and in the second, we calculate the water quality impact of a program aimed at maximizing carbon sequestration. In both cases, the policy instrument is the retirement of land from agricultural production. Our results, limited to the state of Iowa, and to the case of set-aside for water quality or carbon sequestration purposes, indicate that the amount of co-benefits depends on what indicators are used to measure water quality. In general, this study shows that improving "water quality" in the sense of reducing nutrient or sediment loadings is too vague. Even if it is taken to refer to in-stream nutrients, because the responses of nitrogen and phosphorus to conservation efforts are not well correlated, this terminology may not provide much guidance.
Sexual offenders contacting children online: an examination of transcripts of sexual grooming

ABSTRACT The present study investigated transcripts of adults sexually grooming decoy victims on the Internet. One hundred transcripts were coded for offender characteristics, victim characteristics, and dynamics of the conversation. The results revealed that all of the offenders were male, most of whom believed they were communicating with an adolescent female. The sexual intentions of the offenders were made clear, with the majority introducing sexual content early on into the conversation. The length of the contact ranged from one day to nearly one year, suggesting that the duration of the online grooming process may vary significantly. The majority of offenders also communicated with the decoy victim over the telephone and attempted to arrange an in-person meeting, many within short periods of time. Implications for prevention and future research are discussed.
First pass design of a high power 145W, high efficiency class-J GaN power amplifier using waveform engineering

This paper presents a high power, high efficiency RF power amplifier using GaN on Si heterojunction field effect transistor (HFET) designed using waveform engineering. To investigate the high efficiency operation of the GaN HFET, waveform engineering, employing harmonic active load-pull measurements is conducted, yielding 79W output power and 73.9% drain efficiency under class-J operation. The realized PA based on a larger periphery is designed using a scaled optimum output impedance obtained during the HFET investigation, and exhibits 145W output power and 73.8% drain efficiency with drain bias of 40V under 1/10 pulse measurement conditions. The presented PA is promising for application in RF base station systems.
Pipeline architecture for mobile data analysis

This paper presents a cloud architecture that allows collecting and analyzing mobile data. The system offers simple and intuitive interfaces to create mobile applications (Apps), without the need for any programming skill to develop them. The platform allows the collection of conventional data, such as numbers and text, and also non-conventional data, such as multimedia files, location information, and barcodes. The collected data can be shared among users on a social network. In addition, we propose a pipeline architecture to data analyzing.
Highway scene analysis in hard real-time

A hard real-time vision system has been developed that analyses color videos taken from a car driving on a highway. The system uses a combination of color, edge, and motion information to recognize and track the road boundaries, lane markings and other vehicles on the road. Cars are recognized by matching templates that are cropped from the input data online, by detecting image features, and by evaluating how these features relate to each other. Cars are also recognized by temporal differencing and by tracking motion parameters that are typical for cars. The system recognizes and tracks road boundaries and lane markings using a recursive least squares filter. Experimental results demonstrate robust, real-time car recognition and tracking over thousands of image frames.
Motion artifact reduction for wearable photoplethysmogram sensors using micro accelerometers and laguerre series adaptive filters

The photoplethysmogram (PPG) is an extremely useful wearable sensing medical diagnostic tool. However, the PPG signal becomes highly corrupted when the wearer is in motion, rendering the measured signal useless. This thesis develops an adaptive motion artifact reduction scheme to recover the underlying physiologic information from the corrupted signal using a collocated accelerometer as a motion reference and adaptively estimating the motion-to-artifact system dynamics. It has previously been shown that this artifact reduction scheme can be utilized, but many tunable parameters were required to model the system dynamics and performance was poor. This work quantifies algorithm performance based on confidence in the estimated system dynamics, which shows low confidence using the previous parameterization when the wearer is jogging. To improve confidence, the form of the system dynamics is established and a Laguerre series is implimented to compactly represent the system dynamics using just a few parameters that can be confidently estimated. Using the new model, heart rate and amplitude can be estimated from typical jogger data with variance similar to separate PPG sensors located on contralateral motionless hands. The standard artifact reduction scheme does not work when the physiologic signal is correlated with wearer motion. Since the signals may become correlated, this work develops a method of recovering the physiological signal even when it is correlated with wearer motion by adapting blind source seperation techniques. However, the success of this new method is limited. Thesis Supervisor: H. Harry Asada Title: Ford Professor of Mechanical Engineering
Utilising Mobile Wireless Network Technologies to Support an Intelligent Sensor Information System for Public Transport Safety

This paper examines a number of wireless technology platforms for the Intelligent Sensor Information System (ISIS) project. ISIS focuses on increasing public safety and security on public transport such as buses. It adopts an active approach for monitoring CCTV cameras in order to reduce incidents of crime and anti-social behaviour. The communications challenge is to identify a suitable commercial wireless platform that can, among other things, consistently support streaming CCTV video from a moving bus in an urban environment.
Projectors: advanced graphics and vision techniques

Cartoon animations delight the audience with moving characters but they remain on a flat 2D screen. The cartoon dioramas, on the other hand, are detailed, three-dimensional and allow physical interaction but they are static. We present techniques to combine the two in some limited cases. We illuminate static physical models with projectors. The images are generated with real time three dimensional computer graphics. We describe a system to demonstrate various visual effects such as non-photorealistic shading, apparent motion and virtual lighting on a toy-car model. CR Categories: I.3. 7 [Computing Methodologies]: Computer Graphics—3D Graphics
EEG-SSVEP signals extraction with nonlinear adaptive filter for brain-controlled wheelchair

In this paper, an application of nonlinear adaptive filter on EEG-SSVEP extraction for brain-controlled wheelchair is proposed. In the experiment, four subjects with age about 25±1 years were tested. The experimental results in this work show that the implementation of the proposed method achieves a very significant statistical improvement in extracting peak amplitude features. After a short time of practice, most participants could learn to extract the EEG-SSVEP wave with greater than 95% accuracy.
The Marauders Lens

In this paper we present a novel mobile buddy finde r, that combines the advantages of a mobile camera device (such as a sma rtphone) with traditional large-scale paper maps. We applied a Ma gic Lens approach that uses a mobile camera-display-unit (such as a smartp hone) as a lens to provide a dynamic overlay on a traditional paper ma p. Paper maps are still superior in some aspects to their digital counterpa rts. They provide highresolution, large-scale information with zero power consumption. Using a mobile camera-display-unit as a lens over a city ma p, a user can easily browse the position of her buddies without cumberso me scrolling, panning or zooming of a digital map on a small screen. We e xplain the main concept of this idea and present first results with a fully implemented prototype.
Using Morphosyntactic Post-processing to Improve POS-tagging Accuracy

Many of the errors produced by up-to-date POS-taggers could be considered as morphologic, syntactic or semantic. Once statistical tagging does not deal with semantic ambiguity, the correction of (morpho)syntactic errors emerges as one of the possibilities to improve the accuracy of this task. This work describes a method that applies a robust parser with correction rules over a POS-tagging output. We outline its preliminary results on a European Portuguese corpus, showing that the most common tagging errors could be corrected up to 50% with very basic and linguistically motivated rules.
Mining maximal sequential patterns with layer coded Breadth-First linked WAP-tree

Sequential mining is the process of applying data mining techniques to a sequential database for the purposes of discovering the correlation relationships that exist among an ordered list of events. An important application of sequential mining techniques is web usage mining, for mining web log accesses, which the sequences of web page accesses made by different web users over a period of time, through a server, are recorded. This paper proposes an efficient approach for using the BFWAP-tree to mine frequent sequences, which reflects ancestor-descendant relationship of nodes in BFWAP tree directly and efficiently. The proposed algorithm builds the frequent header node links of the original WAP-tree in a Breadth-First fashion and uses the layer code of each node to identify the ancestor-descendant relationships between nodes of the tree. It then, finds each frequent sequential pattern, through progressive Breadth-First sequence search, starting with its first Breadth-First subsequence event. Experiments show huge performance gain over the WAP-tree technique. The space to store maximum frequent sequences is much lower than to store complete set, and web mining applications partly only depend on maximum frequent sequences rather than the complete set of frequent sequences so that mining maximum frequent access sequences is of essential practicability.
Fluorescence lifetime imaging by time‐correlated single‐photon counting

We present a time‐correlated single photon counting (TCPSC) technique that allows time‐resolved multi‐wavelength imaging in conjunction with a laser scanning microscope and a pulsed excitation source. The technique is based on a four‐dimensional histogramming process that records the photon density over the time of the fluorescence decay, the x‐y coordinates of the scanning area, and the wavelength. The histogramming process avoids any time gating or wavelength scanning and, therefore, yields a near‐perfect counting efficiency. The time resolution is limited only by the transit time spread of the detector. The technique can be used with almost any confocal or two‐photon laser scanning microscope and works at any scanning rate. We demonstrate the application to samples stained with several dyes and to CFP‐YFP FRET. Microsc. Res. Tech. 63:58–66, 2004. © 2003 Wiley‐Liss, Inc.
A Proposed Secured Cost-Effective Multi-Cloud Storage in Cloud Computing

The use of cloud computing has increased rapidly in many organizations. Cloud computing provides many benefits in terms of low cost and accessibility of data. Ensuring that security is a major factor in the cloud computing environment, as users often store sensitive information with cloud storage providers but these providers may be untrusted. Dealing with "single cloud" providers is predicted to become less popular with customers due to risks of service availability failure and the possibility of malicious insiders in the single cloud. A movement towards "multi-clouds", or in other words, "interclouds" or "cloud-of-clouds" has emerged recently. This paper surveys recent research related to single and multi-cloud and addresses possible solutions. It is found that the research into the use of multi-cloud providers to maintain security has received less attention from the research community than as the use of single clouds. This work aims to promote the use of multi-clouds due to its ability to reduce security risks that affect the cloud computing user.
CTBot: A stereotactic-guided robotic assistant for percutaneous procedures of the abdomen

This article presents positioning results of a stereotactic robotic assistant for percutaneous needle insertions in the abdomen. The robotic system, called the CT-Bot, is succinctly described. This mechanically safe device is compatible with medical requirements and offers a novel approach robotic needle insertion with computed tomography guidance. Our system does self-registration using only visual information from a fiducial marker. The theoretical developments explain how the pose reconstruction is done using only four fiducial points and how the automatic registration algorithm is achieved. The results concern the automatic positioning of the tip of a needle with respect to a reference point selected in a CT-image. The accuracy of the positioning result show how interesting this system is for clinical use.