Miracle-dz/UniFAR-FTUs huggingface dataset:
Attributions of adolescents with type 1 diabetes related to performing diabetes care around friends and peers: the moderating role of friend support.

OBJECTIVE To examine the relationships among negative attributions of friend and peer reactions to diabetes management in social situations, anticipated adherence difficulties, friend support, diabetes stress, and metabolic control. METHODS A sample of 102 adolescents with Type 1 diabetes completed instruments measuring attribution of friend and peer reactions, anticipated adherence, friend support, and diabetes stress. Metabolic control was measured by the percentage of hemoglobin A1c. RESULTS Structural equation modeling demonstrated an excellent fit of two models depicting the mediating role of anticipated adherence difficulties and diabetes stress on the relationship between negative attributions of friend (first model) and peer (second model) reactions and metabolic control. Friend support was found to moderate the path between diabetes stress and metabolic control in an unexpected manner. That is, as friend support increased, so did the relationship between stress and metabolic control. CONCLUSIONS Adolescents who make negative attributions about reactions of friends and/or non friend peers are likely to find adherence difficult in social situations and have increased stress, with the latter associated with metabolic control. Results are discussed in terms of a social information processing model of adjustment.
Delay testing of asynchronous NoC interconnects

Testing of chips built using deep sub-micron technology is becoming harder since crosstalk and small variations in the fabrication processes are adversely affecting circuit dynamic behaviour. The resulting logic and delay faults can only be detected using at-speed testing of the circuits. Faults resulting from crosstalk become more prominent among long links connecting two clock domains in a system designed using Globally Asynchronous Locally Synchronous (GALS) principles. In this paper we propose an efficient method for at-speed testing of delay faults in links used for handshaking based communication among GALS domains. Our method is conservative and has the property that it can detect all faulty chips but may also label some good chips as faulty with a small probability. It is possible to extend our method to combine it with functional testing of the link and adapt it for on-line testing.
SPRING: Ranking the results of SPARQL queries on Linked Data

Linked Open Data (LOD) is a huge effort in the direction of making the Web of Data a reality. The LOD cloud consists of about 200 datasets contributed by several independent data providers from various domains such as Publications, Geography, Government, Media, Biology and Drugs etc. The data is represented in RDF and SPARQL is the query language. Due to the open nature of the data and its heterogeneous origin, it is often the case that a real-world entity appears in different datasets and with different names. When such entities are to be reported in the query results, a mechanism of rank ordering them becomes essential. In this paper, we propose a new framework for calculating the importance scores of datasets and also resources inside the datasets. As consensus is a key element that adds value to the data in the Web of Data, we base our ranking framework on constructs that are used to express sameness or equivalence among the entities in RDF data. We also make use of the underlying graph structure of LOD in the framework. The framework is experimentally verified on the Billion Triple Challenge (BTC-2010) dataset. The results indicate that the framework is successful in giving entities from the most relevant dataset a higher score compared to other datasets.
PICO: Automatically Designing Custom Computers

The paper discusses the PICO (program in, chip out) project, a long-range HP Labs research effort that aims to automate the design of optimized, application-specific computing systems - thus enabling the rapid and cost-effective design of custom chips when no adequately specialized, off-the-shelf design is available. PICO research takes a systematic approach to the hierarchical design of complex systems and advances technologies for automatically designing custom nonprogrammable accelerators and VLIW processors. While skeptics often assume that automated design must emulate human designers who invent new solutions to problems, PICO's approach is to automatically pick the most suitable designs from a well-engineered space of designs. Such automation of embedded computer design promises an era of yet more growth in the number and variety of innovative smart products by lowering the barriers of design time, designer availability, and design cost.
Fault-tolerant operation of single-phase SR generators

This paper studies fault-tolerant operation of multipole single-phase switched reluctance generators (SRGs), in particular, an 8/8-pole switched reluctance machine. The multipole single-phase SRG system is advantageous for reduced cost and higher efficiency compared to polyphase equivalents. However, using the classical phase-leg topology, a phase fault may prevent generating operation completely, since redundancy in the number of phases does not exist like polyphase systems. A new power converter topology which connects two coil banks in parallel is proposed for higher fault tolerance with minimum additional cost. Faulty coils can be disconnected with the proposed converter and the SRG can continue generating operation after coil faults with reduced output power. Output power per coil current under faults is studied. Open- and short-circuit coils are studied through linear analysis, finite-element analysis and static torque measurement. Generated currents under faults with the proposed converter are measured. The capability of the system to disconnect faulty coils dynamically is also shown.
Arabic DocumentTopic Analysis

Weadoptalgorithmsfor documentopicanalysis,consistingof segmentationandtopic identification,to Arabic. By doingso,weoutline therequirementsfor Arabic languageresourcesthat facilitatebuilding, training,andfine-tuningsystemsthatperformthesetasks.Our segmentationandtopic identificationalgorithmis basedon ProbabilisticLatentSemanticAnalysis.First resultsfor segmentingArabic
Sensorimotor testing in children

This preliminary study investigated behaviorally the performance of a sample of young twins in a set of classical visuomotor tasks. The assessment was carried out using a small haptic interface used to produce force and record the hand trajectory during the execution of tasks requiring rapid and precise movements. The aim of the study was to evaluate the sensorimotor development across a wide age-range (6–13 years) in which dramatic changes in sensorimotor integration and motor skills occur. A mixed-effect analysis was performed in order to evaluate age-related effects and to check for reduction of residual variability within twins with respect to variability across all pairs of twins. We report both an effect of age and of parenthood when considering reaction times and control of position of the hand under perturbed environment. The ability of tracking a moving target and the velocity of information processing show a dependence on age but not on the parenthood factor. This study validates the methodology used to investigate the age effects on the motor behavior of children and promises to provide new insights in twin-studies.
Design and implementation of an ROS based autonomous navigation system

The presented work describes how to implement an autonomous navigation system on wheeled mobile robots based on Robot Operating System (ROS). ROS contains many reusable software stacks and we have analyzed location issues, map building and autonomous navigation packages in this work. With regard to our own designed robot, the hardware and software architectures are presented. Besides, robotic kinematics of motion has been discussed for the four-wheel differential drive mechanism of our robot. An inertial measurement unit is used to assist in providing a more accurate odometry model and precisely localizing robot itself within the world during the process of navigation. Experimental results carried out with a service robot are shown in this paper to demonstrate the performance of the designed system.
An introduction to Problem-Based Learning and its application to an animal bioethics curriculum

The learning objectives of most third level institutions are to promote deep-learning, and problem-solving abilities, providing students with life-long learning skills, which they can continue to use after graduation. However, research suggests that traditional didactic teaching methods may fail to achieve these learning objectives, and instead support passive and shallow learning. As a consequence, new teaching methods have been developed, to enhance the educational and learning power in a teaching environment. Problem-based learning (PBL) is a relatively recent teaching strategy, which places the responsibility of learning on the student. Its general aims are to develop critical thinking and communication skills, as well as knowledge acquisition, in a problem-solving context. PBL differs from traditional didactic teaching in several ways. It is a student-centred mode of teaching, where the students determine the learning objectives within the context of a problem. It is problem-based and not necessarily subject based, demonstrating the interdisciplinary nature of most real-life problems; the teacher acts as a facilitator and not as a provider of facts, thus supporting learner autonomy. There are different PBL models, and, as with other forms of teaching and learning, there are guidelines that need to be adhered to in order to maximise learning potential and prevent shortfalls in PBL. This chapter will address all of the above issues, providing case examples, to give the reader a greater understanding of PBL.
Sitting and Smiling Behavior of Baganda Infants

Previous research has noted that the Baganda of Uganda are comparatively accelerated in the rate of their psychomotor development. As part of a longitudinal study of mother-infant interaction and infant psychomotor development during the first six months of life, when precocity had been found to be greatest, the present investigation reports on two psychomotor skills, smiling and sitting, which are socially significant to the Baganda themselves. Infants are encouraged and/or specifically trained in the development of these skills and perform them at an earlier age than the American norms on the Bayley Scales of Infant Development, the assessment instruments used. These findings provide additional support for the proposition that culturally constituted experience is importantly related to the psychomotor development of infants.
Managing Sinusoidal Signal Having Frequency Excursion Accomplished with High Order Harmonic

A new scheme for measuring the amplitude value of the fundamental component of a distorted sinusoidal signal for power system applications is presented. The method is applicable to single-phase as well as three-phase systems by controlling sampling start angle to improve the measurement precision of signal amplitude. While maintaining structural simplicity, the proposed scheme is highly robust with respect to noise, high order harmonics, transient distortions and frequency excursion in amplitude and frequency of power systems. The method is suitable for environments that frequency excursions are experienced and conventional discrete Fourier transform (DFT)-based methods do not provide satisfactory results. Speed and accuracy of the response can also be controlled. Performance of the proposed method is presented based on simulation studies in the MATLAB environment and an experimental setup
Patterns of Strengths and Weaknesses on the WISC-V, DAS-II, and KABC-II and Their Relationship to Students’ Errors in Oral Language, Reading, Writing, Spelling, and Math

This study investigated the relationship between specific cognitive patterns of strengths and weaknesses and the errors children make on oral language, reading, writing, spelling, and math subtests from the Kaufman Test of Educational Achievement–Third Edition (KTEA-3). Participants with scores from the KTEA-3 and either the Wechsler Intelligence Scale for Children–Fifth Edition (WISC-V), Differential Ability Scales–Second Edition (DAS-II), or Kaufman Assessment Battery for Children–Second Edition (KABC-II) were selected based on their profile of scores. Error factor scores for the oral and written language tests were compared for three groups: High Gc paired with low processing speed, long-term memory, and/or reasoning abilities; Low Gc paired with high speed, memory, and/or reasoning; and Low orthographic and/or phonological processing. Error factor scores for the math tests were compared for three groups: High Gc profile; High Gf paired with low processing speed and/or long-term memory; and Low Gf paired with high processing speed and/or long-term memory. Results indicated a difference in Oral Expression and Written Expression error factor scores between the group with High Gc paired with low processing speed, long-term memory, and/or reasoning abilities; and the group with Low Gc paired with high speed, memory, and/or reasoning.
Photosystem II Repair and Plant Immunity: Lessons Learned from Arabidopsis Mutant Lacking the THYLAKOID LUMEN PROTEIN 18.3

Chloroplasts play an important role in the cellular sensing of abiotic and biotic stress. Signals originating from photosynthetic light reactions, in the form of redox and pH changes, accumulation of reactive oxygen and electrophile species or stromal metabolites are of key importance in chloroplast retrograde signaling. These signals initiate plant acclimation responses to both abiotic and biotic stresses. To reveal the molecular responses activated by rapid fluctuations in growth light intensity, gene expression analysis was performed with Arabidopsis thaliana wild type and the tlp18.3 mutant plants, the latter showing a stunted growth phenotype under fluctuating light conditions (Biochem. J, 406, 415–425). Expression pattern of genes encoding components of the photosynthetic electron transfer chain did not differ between fluctuating and constant light conditions, neither in wild type nor in tlp18.3 plants, and the composition of the thylakoid membrane protein complexes likewise remained unchanged. Nevertheless, the fluctuating light conditions repressed in wild-type plants a broad spectrum of genes involved in immune responses, which likely resulted from shade-avoidance responses and their intermixing with hormonal signaling. On the contrary, in the tlp18.3 mutant plants there was an imperfect repression of defense-related transcripts upon growth under fluctuating light, possibly by signals originating from minor malfunction of the photosystem II (PSII) repair cycle, which directly or indirectly modulated the transcript abundances of genes related to light perception via phytochromes. Consequently, a strong allocation of resources to defense reactions in the tlp18.3 mutant plants presumably results in the stunted growth phenotype under fluctuating light.
Effects of anisometropic amblyopia on visuomotor behavior, I: saccadic eye movements.

PURPOSE Impairment of spatiotemporal visual processing is the hallmark of amblyopia, but its effects on eye movements during visuomotor tasks have rarely been studied. Here the authors investigate how visual deficits in anisometropic amblyopia affect saccadic eye movements. METHODS Thirteen patients with anisometropic amblyopia and 13 control subjects participated. Participants executed saccades and manual reaching movements to a target presented randomly 5° or 10° to the left or right of fixation in three viewing conditions: binocular, amblyopic, and fellow eye viewing. Latency, amplitude, and peak velocity of primary and corrective saccades were measured. RESULTS Initiation of primary saccades was delayed and more variable when patients viewed monocularly with their amblyopic eye. During binocular viewing, saccadic latency exhibited increased variability and no binocular advantage in patients (i.e., mean latency was similar to that during fellow eye viewing). Mean amplitude and peak velocity of primary saccades were comparable between patients and control subjects; however, patients exhibited greater variability in saccade amplitude. The frequency of corrective saccades was greater when patients viewed with their fellow eye than it was with binocular or amblyopic eye viewing. Latency, amplitude, and peak velocity of corrective saccades in patients were normal in all viewing conditions. CONCLUSIONS Saccades had longer latency and decreased precision in amblyopia. Once saccades were initiated, however, the dynamics of saccades were not altered. These findings suggest that amblyopia is associated with slower visual processing in the afferent (sensory) pathway rather than a deficit in the efferent (motor) pathway of the saccadic system.
Real-time diffuse global illumination based on voxelization

Since many years, global illumination algorithms find limited use on interactive applications due to the computational cost for calculating the interaction of light in an environment. A branch of the solutions consist in creating a discretized representation of the scene in order to estimate diffuse interactions from multiple light bounces in real-time. In this paper, we present a simple and efficient approach to compute the light interaction in the scene using a voxel-based representation of diffuse surfaces. Our approach computes indirect bounces of light over the surfaces using a coarse representation based on voxels taking advantages of the GPU. The voxelization process is completely performed on the modern graphics hardware over three different techniques. Also, we add an ambient occlusion effect to improve the quality of the final image, and a filter on image-space. Our tests shown that the algorithm developed is capable to compute the global illumination effects on interactive times over complex scenes.
Packet signature mining for application identification using an improved Apriori algorithm

Extracting packet signatures automatically and accurately are the foundation of traffic identification for most network monitoring and forensics application. The Apriori algorithm is a common and useful method to fulfill the task. For huge amount Internet traffic, the traditional Apriori algorithm, produce huge candidate itemsets and will occupy large I/O costs in scanning database. An improvement method is proposed in this paper. Based on the pruning to the candidate and the public signature database, it dynamically reduced the number of the scanning itemsets to make the scanning efficient. The experiment proved that the proposed algorithm can also effectively improve the mining rate.
When brain and behavior disagree: Tackling systematic label noise in EEG data with machine learning

Conventionally, neuroscientific data is analyzed based on the behavioral response of the participant. This approach assumes that behavioral errors of participants are in line with the neural processing. However, this may not be the case, in particular in experiments with time pressure or studies investigating the threshold of perception. In these cases, the error distribution deviates from uniformity due to the heteroscedastic nature of the underlying experimental set-up. This problem of systematic and structured (non-uniform) label noise is ignored when analysis are based on behavioral data, as is being done typically. Thus, we run the risk to arrive at wrong conclusions in our analysis. This paper proposes a remedy to handle this crucial problem: we present a novel approach for a) measuring label noise and b) removing structured label noise. We show its usefulness for an EEG data set recorded during a standard d2 test for visual attention.
Signatures of Reputation (Extended Abstract)

Reputation systems have become an increasingly important tool for highlighting quality information and filtering spam within online forums. However, the dependence of a user's reputation on their history of activities seems to preclude any possibility of anonymity. We show that useful reputation information can, in fact, coexist with strong privacy guarantees. We introduce and formalize a novel cryptographic primitive we call signatures of reputation which supports monotonic measures of reputation in a completely anonymous setting. In our system, a user can express trust in others by voting for them, collect votes to build up her own reputation, and attach a proof of her reputation to any data she publishes, all while maintaining the unlinkability of her actions.
The Optimized Effective Potential Method and LDA + U

c 2006 by John von Neumann Institute for Computing Permission to make digital or hard copies of portions of this work for personal or classroom use is granted provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise requires prior specific permission by the publisher mentioned above.
An intrinsic area-array pad router for ICs

Arranging I/Os in a matrix array over the core circuitry of an IC generally provides 5-10 times more I/Os than the traditional method of restricting pads to the periphery. This approach also minimizes overall die size. In this paper we describe the development of a new area-array pad router which differs from other approaches in that no additional metal layer is added (unless needed) and no redistribution is required. We describe the design implementation of this technique and show the results of applying this router on designs requiring 112, 298, 414 and 485 I/Os.
Performance features of global states based application control

Global predicates can be used for parallel/distributed application control. We consider a system, where processes report their local states to a monitor process. The monitor constructs strongly consistent global states (SCGS) and evaluates global predicates defined by a programmer on them. Predicate evaluation may trigger sending control signals to chosen processes. Signal reception activates an associated code section at the target process. We study such a control scheme paying attention to the delay between an occurrence of an application state and the reaction triggered by it, and to the possible frequency of decision making. We examine four versions of an SCGS algorithm, providing formulas characterizing expected delay they induce, taking into account system and application parameters. We analyze the rate of SCGS detection and we show how system and application parameters can be tuned to obtain the highest rate.
Utilizing Survival Analysis for Modeling Child Hazards of Social Networking

Social networks induce several hazards to children, which are correlated with the amount of time that children are exposed to those networks. To this end, this work investigates the relation of the aforementioned hazards with the exposure time. To address this issue, we adopt techniques used in survival analysis. These techniques involve the estimation of certain functions which reflect the relation of a disastrous event with time. In particular, we derive the distribution of the rate at which suspicious activities towards children occur in social networks. This is accomplished through experiments on data sets extracted from Facebook. The results show that the incoming hazards for minor female profiles follow the Logistic distribution, while the corresponding hazards for minor male profiles follow the Normal distribution. This knowledge is then utilized for developing an effective system for automated grooming recognition, by optimizing the detection threshold as a function of time. Thus, the threshold sensitivity can be appropriately adjusted such that lower frequencies of occurrence lead to lower threshold sensitivities, and higher frequencies of occurrence lead to higher threshold sensitivities.