Miracle-dz/UniFAR-FTUs huggingface dataset:
A Longitudinal Investigation of Siblings’ and Friends’ Features of Connectedness and Interaction Quality During Play

ABSTRACT The present study examined features of sibling and friend dyads’ connectedness (e.g., length and emotional tone of connected sequences) and the quality of the dyads’ interactions during play from early to middle childhood. Forty-four families with a 4-year-old focal child were observed at Time 1 (T1) and again at Time 2 (T2) at age 7 in two separate play sessions (i.e., sibling and friend). Play sessions were coded for interaction quality (i.e., conflict, cooperation). Based on previous research, features of the sequences (i.e., emotional tone, length of sequence) were compared across relationship and time. Research Findings: Findings revealed similarities in the dyads’ interaction quality, with both siblings and friends increasing in cooperation over time. Similarly, the emotional tone of siblings’ and friends’ connected sequences was more likely to be positive than negative; however, siblings’ sequences were short rather than long, whereas friends’ sequences were more likely to be long than short. Practice or Policy: These findings provide new insights into children’s connectedness in child-child relationships and changes in connectedness across development from early to middle childhood. The study highlights the importance of observing the dyad when using a relationships theory framework to examine children’s interactions.
Adaptive cache compression for non-volatile memories in embedded system

Cache compression has been studied to increase the effective cache size by storing the cache blocks in a compressed form in the cache. However, it also generates additional write operations during the compressing and compacting of cache blocks. Since increasing the write operations leads to a surging of dynamic energy consumption and a shortening of the lifetime of the cache in the Non-Volatile Memory (NVM) based Last-Level Cache (LLC), it is needed to balance the extra write operations against the performance improvement. In this paper, we identify that cache compression is not always efficient for NVM-based LLC. In light of the analysis, we propose Adaptive Cache Compression for NVM (ACCNVM) whose cache block is only compressed when cache compression is efficient. The result shows that our proposal achieves a 16.4% energy savings and a 19.1% lifetime extension with respect to the cache, which uses a state-of-the-art cache compression scheme.
The Information Content of Idiosyncratic Volatility

Abstract Ang, Hodrick, Xing, and Zhang (2006a) show that stocks with high idiosyncratic return volatility tend to have low future returns. This paper further documents that idiosyncratic volatility is inversely related to future earning shocks, and more importantly, that the return-predictive power of idiosyncratic volatility is induced by its information content about future earnings. We examine various explanations of the triangular relation among idiosyncratic volatility, future earning shocks, and future stock returns. Our results show that the idiosyncratic volatility anomaly is not a simple manifestation of previously documented market anomalies related to excessive extrapolation on firm growth, over-investment tendency, accounting accruals, or investor underreaction to earnings news. On the other hand, there is evidence that the idiosyncratic volatility anomaly is related to corporate selective disclosure, and the anomaly is stronger among stocks with a less sophisticated investor base.
Calibration Method for Misaligned Catadioptric Camera

This paper proposes a calibration method for catadioptric camera systems consisting of a mirror whose reflecting surface is the surface of revolution and a perspective camera as typified by HyperOmni Vision. The proposed method is based on conventional camera calibration and mirror posture estimation. Many methods for camera calibration have been proposed and during the last decade, methods for catadioptric camera calibration have also been proposed. The main problem with catadioptric camera calibration is that the degree of freedom of mirror posture is limited or the accuracy of the estimated parameters is inadequate due to nonlinear optimization. On the other hand, our method can estimate five degrees of freedom of mirror posture and is free from the volatility of nonlinear optimization. The mirror posture has five degrees of freedom, because the mirror surface has a surface of revolution. Our method uses the mirror boundary and can estimate up to four mirror postures. We apply an extrinsic parameter calibration method based on conic fitting for this estimation method. Because an estimate of the mirror posture is not unique, we also propose a selection method for finding the best one. By using the conic-based analytical method we can avoid the initial value problem arising from nonlinear optimization. We conducted experiments on synthesized images and real images to evaluate the performance of our method, and discuss its accuracy.
Implementation of neural network based controller using Verilog

A simple and robust real time controller that works very well for linear systems with optimal gain tunings is the PID controller. But, PID controllers do not work properly if plant dynamics are changing fast or when the plant is highly nonlinear. However, many of the industries still rely on it. Hence, in most of the plants an auxiliary controller coexists to help the primary PID controller to work better by compensating for uncertainties present during control operation. Neural network has proven to be a good candidate as this auxiliary nonlinear controller. Neural network can effectively compensate for unknown uncertainties and also act as an intelligent control. The success of the neural network as an auxiliary controller has been reported in practical applications such as motion control system, signal processing and controlling robot manipulators. Nowadays, parallel programmable logic devices, such as the field programmable gate array (FPGA), have become powerful hardware options, offering low cost, high execution speed, reconfigurability and parallelism. This work intends to exploit the current available resources in commercial FPGAs to implement servo control for hard disk drive system. Simulation and experimental results included in this paper show the viability of exploiting the parallelism and modularity of a Virtex 6 FPGA to implement a high sampling rate neural network-RBF based controller. This control system platform will allow fast prototyping of new control concepts and evaluation of non-linear control.
UniVIO: A Multiple Omics Database with Hormonome and Transcriptome Data from Rice

Plant hormones play important roles as signaling molecules in the regulation of growth and development by controlling the expression of downstream genes. Since the hormone signaling system represents a complex network involving functional cross-talk through the mutual regulation of signaling and metabolism, a comprehensive and integrative analysis of plant hormone concentrations and gene expression is important for a deeper understanding of hormone actions. We have developed a database named Uniformed Viewer for Integrated Omics (UniVIO: http://univio.psc.riken.jp/), which displays hormone-metabolome (hormonome) and transcriptome data in a single formatted (uniformed) heat map. At the present time, hormonome and transcriptome data obtained from 14 organ parts of rice plants at the reproductive stage and seedling shoots of three gibberellin signaling mutants are included in the database. The hormone concentration and gene expression data can be searched by substance name, probe ID, gene locus ID or gene description. A correlation search function has been implemented to enable users to obtain information of correlated substance accumulation and gene expression. In the correlation search, calculation method, range of correlation coefficient and plant samples can be selected freely.
An environmental scan of policies in support of chronic disease self-management in Canada.

INTRODUCTION The evidence supporting chronic disease self-management warrants further attention. Our aim was to identify existing policies, strategies and frameworks that support self-management initiatives. METHODS This descriptive study was conducted as an environmental scan, consisting of an Internet search of government and other publicly available websites, and interviews with jurisdictional representatives identified through the Health Council of Canada and academic networking. RESULTS We interviewed 16 representatives from all provinces and territories in Canada and found 30 publicly available and relevant provincial and national documents. Most provinces and territories have policies that incorporate aspects of chronic disease self-management. Alberta and British Columbia have the most detailed policies. Both feature primary care prominently and are not disease specific. Both also have provincial level implementation of chronic disease self-management programming. Canada's northern territories all lacked specific policies supporting chronic disease self-management despite a significant burden of disease. CONCLUSION Engaging patients in self-management of their chronic diseases is important and effective. Although most provinces and territories have policies that incorporate aspects of chronic disease self-management, they were often embedded within other initiatives and/or policy documents framed around specific diseases or populations. This approach could limit the potential reach and effect of self-management.
A case study in porting a production scientific supercomputing application to a reconfigurable computer

This case study presents the results of porting a production scientific code, called NAMD, to the SRC-6 high-performance reconfigurable computing platform based on field programmable gate array (FPGA) technology. NAMD is a molecular dynamics code designed to run on large supercomputing systems and used extensively by the computational biophysics community. NAMD's computational kernel is highly optimized to run on conventional von Neumann processors; this presents numerous challenges to its reimplementation on FPGA architecture. This paper presents an overview of the SRC-6 architecture and the NAMD application and then discusses the challenges, solutions, and results of the porting effort. The rationale in choosing the development path taken and the general framework for porting an existing scientific code, such as NAMD, to the SRC-6 platform are presented and discussed in detail. The results and methods presented in this paper are applicable to the large class of problems in scientific computing
SIMDELTA -A Microsimulation Approach to Household Location Modelling

The paper provides results on the household location modeling project which the UK Department for Transport commissioned as part of longer-term research into the factors underlying the demand for transport and the consequences of transport change. The new SimDELTA model design is based on replacing the household and individual components of the existing land-use modeling package DELTA with a system of microsimulation components. The treatment of transport, job location and housing supply are currently are exogenous to the model and based on previous modeling work. The proposed model has been calibrated and validated for the South and West Yorkshire, UK.
CAUSE-SELECTING CONTROL CHARTS WITH VARIABLE PARAMETERS

Abstract: Cause-selecting control charts are effective tools to monitor and detect shifts in a process with two dependent steps. In this paper, we extend the study of by x Z and e Z control charts with variable parameters in order to monitor quality characteristics, which are produced by the first and the second step of a two-stage process, respectively. We utilize three different sample sizes, sampling intervals, and 2 different control limit coefficients. Choosing any couple of oncoming parameter is based on the previous sample statistics. Finally, the method of constructing the proposed control chart and determining its parameters is illustrated.
Optimistic access control for distributed collaborative editors

The importance of collaborative systems in real-world applications has grown significantly over the recent years. The majority of new applications are designed in a distributed fashion to meet collaborative work requirements. Among these applications, we focus on Distributed Collaborative Editors (DCE) that provide computer support for modifying simultaneously shared documents, such as articles, wiki pages and programming source code by dispersed users. Although such applications are more and more used into many fields, the lack of an adequate access control concept is still limiting their full potential. In fact, controlling access in a decentralized fashion for such systems is still a challenging problem, as they need dynamic access changes and low latency access to shared documents. In this paper, we propose a generic Multi-Administrator Access Control (MAAC) based on replicating the shared document and its authorization policy at the local memory of each user. We consider the propagation of authorizations and their interactions. We propose a generic approach to enforce access control in existing collaborative editing solutions. Finally, we apply our framework on a collaboration prototype and measure its performance in the distributed grid GRID5000 to highlight the scalability of our solution.
Atypical actinobacillosis in a dairy cow.

Actinobacillosis is an infectious, chronic, generally non-fatal disease caused by Actinobacillus lignieresii. The etiologic agent is a part of the oral flora and causes pyogranulomatous lesions of the soft tissues. A 5-year old, approximately 500 kg cross-breed Holstein cow was presented for the treatment of a large, ulcerated and hemorrhagic mass at the left side of the neck in vicinity of the jugular furrow. Anamnesis indicated that the condition began three months previously as a small, walnut-size swelling that gradually enlarged over this period. After surgical resection of the mass, histological assessment revealed multiple pyogranulomatous foci-contained radiating eosinophilic clubs surrounded by many neutrophils, lymphocytes, plasma cells, macrophages and connective tissue. Clinical manifestations, bacteriological and pathological examinations of biopsy confirmed atypical actinobacillosis. In this case, the route of entry of organisms probably had been an abrasion or wound in the skin of the neck.
Reactive Self Collision Avoidance with Dynamic Task Prioritization for Humanoid Robots

We propose a self collision avoidance system for humanoid robots designed for interacting with the real world. It protects not only the humanoid robots' hardware but also expands its working range while keeping smooth motions. It runs in real-time in order to handle unpredictable reactive tasks such as reaching to moving targets tracked by vision during dynamic motions like e.g. biped walking. The collision avoidance is composed of two important elements. The first element is reactive self collision avoidance which controls critical segments in only one direction — as opposed to other methods which use 3D position control. The virtual force for the collision avoidance is applied to this direction and therefore the system has more redundant degrees of freedom which can be used for other criteria. The other second element is a dynamic task prioritization scheme which blends the priority between target reaching and collision avoidance motions in a simple way. The priority between the two controllers is changed depending on current risk. We test the algorithm on our humanoid robot ASIMO and works while the robot is standing and walking. Reaching motions from the front to the side of the body without the arm colliding with the body are possible. Even if the target is inside the body, the arm stops at the closest point to the target outside the body. The collision avoidance is working as one module of a hierarchical reactive system and realizes reactive motions. The proposed scheme can be used for other applications: We also apply it to realizing a body schema and occlusion avoidance.
Effects of Physical Activity on the Association Between Interoception and Anxiety in Finnish Adults

Wilson, Lindsey, 2018. Effects of Physical Activity on the Association Between Interoception and Anxiety in Finnish Adults. Master’s Thesis in Sport and Exercise Psychology. Faculty of Sport and Health Sciences. University of Jyväskylä, 27p. Interoception is the ability to sense one’s physical perturbations in the body. Interoception has gained relevance in psychological studies of emotion within the past decade, as the brain structures responsible for relaying interoceptive signals also share structures responsible for emotion-processing. Of note, a heightened sense of interoception has been linked with increased measures of anxiety, a common mental illness that may be of detriment to those of which it afflicts. Physical exercise has consistently shown to reduce anxiety and may serve as a therapeutic form of interoceptive exposure. Thus, identifying how physical exercise impacts the relationship between interoception and anxiety should be explored. This study investigated the differences that physical activity may have on the intensity levels of anxiety in participants with high levels of interoception. Participants (n=50; male=22, female= 28) completed an objective measure of interoception in the form of a heartbeat discrimination task, a self-report of hours of weekly physical activity, and a subjective measure of anxiety (Beck Anxiety Inventory). Independent t-test comparisons identified no significant statistical difference between anxiety levels of participants varying in physical activity level regardless of high levels of interoception accuracy. Relevance and implications of these finding to existing and future research are discussed.
From cradle to control verbs Extending constructivist models beyond simple syntax

In recent years, several computational models (Alishahi & Stevenson 2008, Chang 2008, Bannard, Lieven & Tomasello 2009) have begun fulfilling the promise of usage-based construction grammar (Tomasello 2003, Goldberg 2006) as a computationally testable account of the acquisition of grammar.1 In simulating specific developmental patterns, such as the generalization of argument structure constructions, constructionist models seem to focus on a limited part of the childs development, namely the acquisition of so-called simple syntax (Tomasello 2003, Ambridge & Lieven 2011), i.e. word order in declarative sentences and argument structure. This focus has left the models conceptually ill-equipped to account for the grammatical development on either developmental side of the acquisition of simple syntax.
The link between interest rates on interbank money and for credit lines: are asymmetric interest rate adjustments empirically evident?

The paper investigates the behaviour of banks with regard to the pricing of commercial short term loans over the period from 1975 until 1997. Due to the inclusion of interest rate quotes by banks located in east Germany in 1991 we distinguished between the subperiods from 1975 – 1989 and 1991 – 1997. In the context of the price setting for credit lines we focus on the commonly held belief of asymmetric interest rate adjustments. In order to raise the markup on credit lines banks adjust rates on credit lines slower when refinance rates are decreasing. Estimating error correction models a longterm relation between the rate for interbank money and for credit lines is established. In order to test for asymmetric interest rate adjustments non-symmetric error correction models as well as error correction models with asymmetric short-term dynamics are estimated. The hypothesis of asymmetric interest rate adjustments is confirmed largely by the estimation results of the latter specification while in the former specification no asymmetry is found.
Physical Learning Activities with a Teaching Assistant Robot in Elementary School Music Class

Very recently, together with ICT (Information Communication and Technology) as teaching aids, the blended-learning combined with off-line education and e-learning has been administered. In the future, however, r-learning based on robots as teaching assistants will be employed to help students enhance their educational motivation and effects. Also, the teachers who have high- qualified capacity of ICT have also assumed robots as their assistants in the various fields such as music and language. Thus, many studies have investigated whether there are significant differences between the use of robots and other educational approaches in the field of education. However, there are few previous studies about whether robots would help music lessons or not in the field of music education. Therefore, the present study investigated whether Tiro, a teaching assistant robot, could help the Korean elementary school 4th-grade students learn six-eight time conduct in the music class. For treatments, teaching scenario for Tiro’s experimental lessons was designed. It consists of learning materials and class management services. Also, after the contents for flash-based multimedia robot were designed and developed, the final scenario for teaching assistant robot was created by adding robot action scripts in order to match the contents with robot action template. The contents of the assistant robot for music conduct lesson were downloaded by the wireless, and they were employed for this study. Data collected from Tiro’s experimental music lesson and the teacher’s assessment and feedback were analyzed and reported.
Automated verification of pattern-based interaction invariants in Ajax applications

When developing asynchronous JavaScript and XML (Ajax) applications, developers implement Ajax design patterns for increasing the usability of the applications. However, unpredictable contexts of running applications might conceal faults that will break the design patterns, which decreases usability. We propose a support tool called JSVerifier that auto-matically verifies interaction invariants; the applications handle their interactions in invariant occurrence and order. We also present a selective set of interaction invariants derived from Ajax design patterns, as input. If the application behavior breaks the design patterns, JSVerifier automatically outputs faulty execution paths for debugging. The results of our case studies show that JSVerifier can verify the interaction invariants in a feasible amount of time, and we conclude that it can help developers increase the usability of Ajax applications.
CMOS Distributed Amplifiers With Extended Flat Bandwidth and Improved Input Matching Using Gate Line With Coupled Inductors

This paper presents a state-of-the-art distributed amplifier with coupled inductors in the gate line. The proposed coupled inductors, in conjunction with series-peaking inductors in cascode gain stages, provide bandwidth extension with flat gain response for the amplifier without any additional power consumption. On the other hand, gate-inductor coupling improves the input matching of the amplifier considerably. The detailed analysis and design methodology for the proposed distributed amplifier are presented. The new four-stage distributed amplifier, fabricated using an IBM 0.18-¿m complementary-metal-oxide-semiconductor process, achieves a power gain of around 10 dB, input and output return losses better than 16 and 18 dB, respectively, a noise figure of 3.6-4.9 dB, and a power consumption of 21 mW over a 16-GHz flat 1-dB bandwidth. The measured IIP3 of the amplifier is between 0.1 and 3.75 dBm across the entire band.