Miracle-dz/UniFAR-FTUs huggingface dataset:
Shutter Emotional Facial Expressions in Infancy 121 Morphology of Infant and Adult Emotional Expression

In this article, we review empirical evidence regarding the relationship between facial expression and emotion during infancy. We focus on differential emotions theory’s view of this relationship because of its theoretical and methodological prominence. We conclude that current evidence fails to support its proposal regarding a set of pre-specified facial expressions that invariably reflect a corresponding set of discrete emotions in infants. Instead, the relationship between facial expression and emotion appears to be more complex. Some facial expressions may have different meanings in infants than in children and adults. In addition, nonemotion factors may sometimes lead to the production of “emotional” facial expressions. We consider alternative perspectives on the nature of emotion and emotional expression in infancy with particular focus on differentiation and dynamical systems approaches.
The effects of the leader–member exchange relationship on rater accountability: A conceptual approach

Abstract In contemporary organizational psychology research, the effect of the leader–membership exchange (LMX) relationship on rater accountability has received little attention. The current study seeks to fill this gap in the literature by explaining how the quality of the LMX relationship between the rater and the audience of appraisal affects rater accountability. Moreover, this paper examines how the upward strategies of both the rater and the ratee influence LMX relationships in the appraisal context. Employee resistance in performance appraisal is assumed to moderate the relationship between LMX and rater accountability. A conceptual model depicting the relationship between upward influence tactics, LMX relationship quality, rater accountability and performance rating is presented.
Rich gets simpler

Network science plays a central role in the study of complex systems, offering a range of computational tools and, importantly, a common language to represent systems as diverse as the World Wide Web, the human brain, and social networks (1). Within the framework of network science, a system is modeled as a set of nodes, representing the individual units of the system, and a set of links, representing the dyadic relationships between these units. Many networks have been shown to exhibit a complex organization and yet can often be comprehended by simple and universal mechanisms. However, to properly capture the complexity of real-world interacting systems, standard network models are sometimes not sufficient. For this reason, different attempts have been made to enrich the network language in recent years. Important examples include multiplex or multilayer networks (2), where different types of interactions are accounted for, higher-order networks (3⇓–5), focusing on pathways instead of dyadic interactions, and temporal networks (6, 7), where nodes and links become dynamical entities. In PNAS, Sekara et al. (8) make two important contributions to the latter approach, first by studying a longitudinal, high-resolution dataset on human interactions over an extended time window and second by showing that significant structural patterns naturally emerge from the system when considered at an appropriate time scale (Fig. 1).
Competition policy in open economies

What is the effect of national antitrust policies in a world with international trade? Traditionally, economic analysis of mergers has assumed a closed economy, which—as we show in this paper—may lead to errant policy in an open economy. We use a very simple model to highlight some key issues in optimal competition policy when trade is important, and compare the nationally optimal number of firms with the globally optimal number of firms in a free trade environment. We show that countries will choose a competition policy that is ‘too strict’ in the sense that they will prefer to have more firms than is globally optimal, implying that convergence in competition policy should generally lead to a reduction in the number of firms. We also examine the strategic interaction between domestic and foreign competition policy when there is free trade and show that small and large countries will react very differently to changes in the other's policies.
Streaming transducers for algorithmic verification of single-pass list-processing programs

We introduce streaming data string transducers that map input data strings to output data strings in a single left-to-right pass in linear time. Data strings are (unbounded) sequences of data values, tagged with symbols from a finite set, over a potentially infinite data domain that supports only the operations of equality and ordering. The transducer uses a finite set of states, a finite set of variables ranging over the data domain, and a finite set of variables ranging over data strings. At every step, it can make decisions based on the next input symbol, updating its state, remembering the input data value in its data variables, and updating data-string variables by concatenating data-string variables and new symbols formed from data variables, while avoiding duplication. We establish PSPACE bounds for the problems of checking functional equivalence of two streaming transducers, and of checking whether a streaming transducer satisfies pre/post verification conditions specified by streaming acceptors over input/output data-strings. We identify a class of imperative and a class of functional programs, manipulating lists of data items, which can be effectively translated to streaming data-string transducers. The imperative programs dynamically modify a singly-linked heap by changing next-pointers of heap-nodes and by adding new nodes. The main restriction specifies how the next-pointers can be used for traversal. We also identify an expressively equivalent fragment of functional programs that traverse a list using syntactically restricted recursive calls. Our results lead to algorithms for assertion checking and for checking functional equivalence of two programs, written possibly in different programming styles, for commonly used routines such as insert, delete, and reverse.
Relationship between physical activity and BMI with level of motor coordination performance in schoolchildren

International studies have shown that motor coordination was inversely associated with adiposity, and directly associated with other health outcomes. However, there are few national studies addressing this issue and the results are divergent. The aim of this study was to analyse the relationship between physical activity and body mass index (BMI) with the level of motor coordination performance in children. This cross-sectional study was performed with children aged 5-7 years old. The level of motor performance was evaluated by normative data of the motor quotients assessed by KTK test. BMI was calculated by body weight and height. The level of physical activity was assessed by a questionnaire applied by interviewers with parents. Statistical analysis was performed by Spearman and Pearson test, and multiple linear regression. The sample included 665 children with mean age of 6.29 (± 0.75) years old, and 52.6% were male. It was verified which total motor quotient (TMQ) was directly related to physical activity score (0.096; p = 0.013) and inversely related to BMI (-0.284; p<0.001). The relationship between BMI and TMQ was moderated by family income. BMI was inversely related to the level of motor performance, and the score of physical activity was directly related to the level of motor performance in children in a higher family income.
Correlation power analysis attack of AES on FPGA using customized communication protocol

Correlation power analysis (CPA) is the most popular and powerful type of power analysis attacks against cryptographic modules. An attacker exploits the correlation between the power consumed by the device and the data generated during computation. In this paper, we present a correlation power analysis attack carried out on AES encryption algorithm implemented on a Xilinx FPGA on SASEBO (Side-channel Attack Standard Evaluation Board) using customized communication interface protocol and we also optimize number of power traces in CPA Attacks on FPGA as compared to other related works.
Role of MYC in pediatric and adult B-cell lymphoma patients

In dit proefschrift zijn B-cel lymfomen onderzocht. Dit is een vorm van lymfeklierkanker die ontstaat uit de B-afweer cellen (B-lymfocyten) van ons afweersysteem. Specifiek is in de verschillende hoofdstukken gekeken naar de rol die het MYC-oncogen speelt bij het ontstaan van lymfomen en in de ziekteprogressie ervan. Bij het Burkitt lymfoom, een lymfoom dat per definitie een MYC breuk heeft en voornamelijk voorkomt bij kinderen, zijn verschillende genetische aspecten onderzocht. Een van deze aspecten betreft de chromosoomanalyse bij patienten bij wie de ziekte terug gekomen was na de initiele behandeling (recidief). Bij de niet-Burkitt lymfomen betreft het voornamelijk de zogeheten "dubbel-hit" lymfomen, welke naast de MYC breuk nog een additionele breuk in BCL2 en/of BCL6 hebben. Deze lymfomen komen in tegenstelling tot het Burkitt lymfoom vrijwel uitsluitend bij volwassenen voor. Deze patienten met een "dubbel-hit" lymfoom hebben een uiterst slechte prognose. In de diagnostiek wordt tot nu toe niet standaard elk lymfoom op de aanwezigheid van een MYC-breuk onderzocht. Ook is niet duidelijk met welke methode(n) dit het beste gedaan zou kunnen worden. Een van de aanbevelingen die uit de onderzoeken in het proefschrift voortvloeien is dat elk agressief B-cel lymfoom gescreend moet worden middels de zogeheten fluorescentie in situ hybridisatie (FISH) techniek op de aanwezigheid van MYC (en als positief ook op BCL2 en BCL6) breuken. Dit is enerzijds van belang om de juiste diagnose te kunnen stellen (Burkitt lymfoom versus niet-Burkitt lymfoom) en anderzijds is dit bij de niet Burkitt lymfomen van therapeutisch en prognostisch belang daar patienten met een lymfoom met een MYC breuk een veel slechtere prognose hebben en een andere dan de standaard behandeling nodig hebben.
Development of linear quadratic regulator based PI controller for maximum power point tracking in solar photo-voltaic system

A novel linear quadratic regulator (LQR) based PI (proportional-integral) controller for maximum power point tracking (MPPT) in solar photo-voltaic system has been proposed in this paper. Proposed MPPT controller has been designed with dynamic set-point adjustment approach using current, radiation and temperature sensors. Real time simulations have been carried out on prototype solar photo-voltaic system with buck converter and resistive load using MATLAB™/dSPACE™ ds1104 platform. Performance of the proposed technique has been compared with perturb and observe, incremental conductance, fuzzy logic, neural network and ANFIS based methods of maximum power point tracking. Performance of various techniques has been compared based on efficiency, steady state and dynamic behaviour. Experimental results showed the superiority of the proposed method for tracking maximum power point under rapidly varying solar radiations.
Immunohistochemical analysis of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) toxicity on the developmental dentate gyrus and hippocampal fimbria in fetal mice

Dioxins are widespread persistent environmental contaminants with adverse impacts on humans and experimental animals. Behavioral and cognitive functions are impaired by 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) exposure. TCDD exerts its toxicity via the aryl hydrocarbon receptor (AhR), a ligand-activated transcription factor. The hippocampus, which plays important roles in episodic memory and spatial function, is considered vulnerable to TCDD-induced neurotoxicity, because it contains the AhR. We herein investigated the effects of TCDD toxicity on hippocampal development in embryonic mice. TCDD was administered to dams at 8.5 days postcoitum with a single dose of 20, 200, 2,000 and 5,000 ng/kg body weight (groups T20, T200, T2000 and T5000, respectively), and the brains were dissected from their pups at embryonic day 18.5. Immunohistochemical analysis demonstrated that the Glial Fibrillary Acidic Protein (GFAP) immunoreactivities in the dentate gyrus (DG) were reduced in the T5000 group. Granular GFAP immunoreactivity was observed in the hippocampal fimbria, and the number of immunoreactive fimbria was significantly decreased in the T5000 group. The number of Proliferating Cell Nuclear Antigen (PCNA)-positive cells was decreased in all TCDD-exposed groups and significantly reduced in the T20, T200 and T5000 groups. Together, these results demonstrate that maternal TCDD exposure has adverse impacts on neural stem cells (NSCs), neural precursor cells (NPCs) and granular cells in the DG and disrupts the NSC maintenance and timing of differentiation in the hippocampal fimbria, which in turn interrupt neuronal development in future generations of mice.
Association rule mining based predicting breast cancer recurrence on SEER breast cancer data

Breast cancer is the most well-known type of cancer in women in the developed nations including India. Breast cancer could recur anytime in the breast cancer survivors, however basically it returns in the initial three to five years after the treatment. In this paper we investigate the feasibility of utilizing an association rule mining for a clinical oncology doctor in expectation of breast cancer recurrence on SEER (Surveillance, Epidemiology, and End Results) dataset.
The Microtubule Regulatory Protein Stathmin Is Required to Maintain the Integrity of Axonal Microtubules in Drosophila

Axonal transport, a form of long-distance, bi-directional intracellular transport that occurs between the cell body and synaptic terminal, is critical in maintaining the function and viability of neurons. We have identified a requirement for the stathmin (stai) gene in the maintenance of axonal microtubules and regulation of axonal transport in Drosophila . The stai gene encodes a cytosolic phosphoprotein that regulates microtubule dynamics by partitioning tubulin dimers between pools of soluble tubulin and polymerized microtubules, and by directly binding to microtubules and promoting depolymerization. Analysis of stai function in Drosophila , which has a single stai gene, circumvents potential complications with studies performed in vertebrate systems in which mutant phenotypes may be compensated by genetic redundancy of other members of the stai gene family. This has allowed us to identify an essential function for stai in the maintenance of the integrity of axonal microtubules. In addition to the severe disruption in the abundance and architecture of microtubules in the axons of stai mutant Drosophila , we also observe additional neurological phenotypes associated with loss of stai function including a posterior paralysis and tail-flip phenotype in third instar larvae, aberrant accumulation of transported membranous organelles in stai deficient axons, a progressive bang-sensitive response to mechanical stimulation reminiscent of the class of Drosophila mutants used to model human epileptic seizures, and a reduced adult lifespan. Reductions in the levels of Kinesin-1, the primary anterograde motor in axonal transport, enhance these phenotypes. Collectively, our results indicate that stai has an important role in neuronal function, likely through the maintenance of microtubule integrity in the axons of nerves of the peripheral nervous system necessary to support and sustain long-distance axonal transport.
Process, representation and taskworld. Distributed cognition and the organisation of information

Distributed cognition provides a means of describing the co-ordination of collaborative activity. A single framework is applied to examine the interactions between people, the tools they use, and the environments that their activities are situated within. The resultant analyses show how the system resources are applied to result in problem solving activity. Examples from fieldwork are used to explore these issues. The paper critically evaluates DC, exploring the problems and the benefits that such an approach brings to understanding the organisation of information in its contexts.
Light transport and limits of slow light in real photonic crystal structures in the presence of residual disorder

We experimentally investigate the effect of residual disorder on the dispersion curve of light near a band edge. A Fourier space imaging technique accurately distinguishes the propagating regime from diffusive transport and evanescent regime in planar photonic crystal. We highlight and quantify the impact of the disorder on the group velocity near a band edge. We stress that the achievement and determination of group indexes larger than 100 requires not only state of the art processing but also accurate techniques able to discriminate between propagating, evanescent and localized modes.
Relativism , Assertion and Deflationary Truth

We provide a deflationarily acceptable account of assertion in truth-relativistic domains. First, we state what we take relativism and deflationism to be. Second, we clarify the problem of assertion in relativistic domains by singling out the features that make assertion within those domains problematic. Then, we tackle the problem directly by generalizing a standard deflationary account of the norms of assertion and by introducing two key distinctions: between internal and external norms, and between norms of assertion and norms of evaluation. We show how these distinctions may be put to work in order to account for the seemingly problematic features of relativistic assertion. We conclude by assessing the importance of the issue of assertion on the question whether truth-relativism and deflationism about truth are ultimately compatible views. We tackle the problem of relativistic assertion from a deflationary perspective concerning truth. In order to gain clarity on the issue, first we say what we take relativism and deflationism to be. We do so in section 1. In section 2, we start dealing with the issue of relativistic assertion by singling out its problematic features: the possibility of coherently formulating norms for assertion, and the possibility of grounding a rational practice of assertion upon relative truth. In sections 3 and 4, we deal with the first problematic feature by formulating norms of assertion that are deflationarily acceptable. In section 5, deal with the second problematic feature by showing how relative truth provides for a rational practice of making and evaluating assertions within truth-relativistic domains of discourse. Finally, in section 6, we briefly turn to the question whether relativism and deflationism are ultimately compatible views, which is still an open one. The issue of assertion certainly will bear on the answer. ∗An abridged version of this paper was presented at TEP (Work In Progress) Seminar at Buenos Aires, and at the II Congresso da SBFA, Fortaleza, Ceará (4–6 June 2012). I thank the audiences for the useful comments. The paper in length was discussed during the IRHD Group Summer Seminar for the summer of 2011-2012 at Buenos Aires. A special acknowledgment is due to Justina Dı́az Legaspe, Nicolás Lo Guercio and Eleonora Orlando. The research for this article was made possible by the support of the National Council of Scientific and Technological Research (CONICET), in the form of a Doctoral Research Scholarship for the years 2009-2012 (Beca Interna de Postgrado Tipo I), and in the form of a Doctoral Research Scholarship for the years 2012-2014 (Beca Interna de Postgrado Tipo II). †Universidad de Buenos Aires — CONICET — GAF. E-mail: ramirocaso08@gmail.com.
A Repeated Forced‐choice Line‐up Procedure Provides Suspect Bias Information with No Cost to Accuracy for Older Children and Adults

In two experiments and one follow-up analysis, we examined the impact of using a repeated forced-choice (RFC) line-up procedure with child and adult eyewitnesses. The RFC procedure divides the identification task into a series of exhaustive binary comparisons that produces not only traditional line-up information (identification decision and confidence) but also information about witness’ selection behavior. Experiment 1 revealed that younger children (6to 8-year-olds) struggled with the RFC procedure, while older children (9to 11-year-olds) performed as well with the RFC procedure as with a simultaneous procedure (with wildcard). Experiment 2 replicated this comparable performance with adults. Witnesses’ suspect selection behavior during the RFC was predictive of identification accuracy for older children and adults. A model examined the additional information provided by the RFC in experiments 1 and 2 and provided evidence that witnesses’ patterns of responding can be used to estimate suspect selection bias (a proxy for suspect recognition strength) associated with individual line-up decisions. Copyright © 2017 John Wiley & Sons, Ltd.
An Efficient SSD-based Hybrid Storage Architecture for Large-Scale Search Engines

Large-scale search engines use hard disk drives (HDD) to store the mass index data for their capacity, whose performances are limited by the relatively low I/O performance of HDD. Caching is an effective optimization, and many caching algorithms have been proposed to improve retrieval performance. Considering the high cost of memory and huge amounts of data, the limited capacity of cache in memory cannot resolve the above problem thoroughly. In this paper, we adopt a solid state disk (SSD) based storage architecture, which uses SSD as a secondary cache for memory. We analyze the I/O patterns of search engines and propose SSD-based data management policies based on the hybrid storage architecture, including data selection, data placement and data replacement. Our main goal is to improve the performance of search engines while reducing operation cost inside SSD. The experimental results demonstrate the proposed architecture improves the hit ratio by 13.31%, the performance by 41.05%, the average access time inside SSD by 43.83%, and reduces block erasure operations by 71.52%.
Multiple K Means++ Clustering of Satellite Image Using Hadoop MapReduce and Spark

Clustering of image is one of the important steps of mining satellite images. In our experiment we have simultaneously run multiple K-means algorithms with different initial centroids and values of k in the same iteration of MapReduce jobs. For initialization of initial centroids we have implemented Scalable K-Means++ MapReduce (MR) job [1]. We have also run a validation algorithm of Simplified Silhouette Index [2] for multiple clustering outputs, again in the same iteration of MR jobs. This paper explored the behavior of above mentioned clustering algorithms when run on big data platforms like MapReduce and Spark jobs. Spark has been chosen as it is popular for fast processing particularly where iterations are involved.