Miracle-dz/UniFAR-FTUs huggingface dataset:
Developmental Cognitive Neuroscience Discrimination of Animate and Inanimate Motion in 9-month-old Infants: an Erp Study

Simple geometric shapes moving in a self-propelled manner, and violating Newtonian laws of motion by acting against gravitational forces tend to induce a judgement that an object is animate. Objects that change their motion only due to external causes are more likely judged as inanimate. How the developing brain is employed in the perception of animacy in early ontogeny is currently unknown. The aim of this study was to use ERP techniques to determine if the negative central component (Nc), a waveform related to attention allocation , was differentially affected when an infant observed animate or inanimate motion. Short animated movies comprising a marble moving along a marble run either in an animate or an inanimate manner were presented to 15 infants who were 9 months of age. The ERPs were time-locked to a still frame representing animate or inanimate motion that was displayed following each movie. We found that 9-month-olds are able to discriminate between animate and inanimate motion based on motion cues alone and most likely allocate more attentional resources to the inanimate motion. The present data contribute to our understanding of the animate–inanimate distinction and the Nc as a correlate of infant cognitive processing.
How Limited Interaction Hinders Real Communication (and What It Means for Proof and Circuit Complexity)

We obtain the first true size-space trade-offs for the cutting planes proof system, where the upper bounds hold for size and total space for derivations with constantsize coefficients, and the lower bounds apply to length and formula space (i.e., number of inequalities in memory) even for derivations with exponentially large coefficients. These are also the first trade-offs to hold uniformly for resolution, polynomial calculus and cutting planes, thus capturing the main methods of reasoning used in current state-of-the-art SAT solvers. We prove our results by a reduction to communication lower bounds in a round-efficient version of the real communication model of [Kraj́ĩcek '98], drawing on and extending techniques in [Raz and McKenzie '99] and [G̈öos et al. '15]. The communication lower bounds are in turn established by a reduction to trade-offs between cost and number of rounds in the game of [Dymond and Tompa '85] played on directed acyclic graphs. As a by-product of the techniques developed to show these proof complexity trade-off results, we also obtain an exponential separation between monotone-ACi-1 and monotone-ACi, improving exponentially over the superpolynomial separation in [Raz and McKenzie '99]. That is, we give an explicit Boolean function that can be computed by monotone Boolean circuits of depth logi n and polynomial size, but for which circuits of depth O(logi-1 n) require exponential size.
Structured light 3D free form recovering with sub-pixel precision

This paper deals with the 3D Free form object pose recovering problem that is present in several industrial applications, such as online quality control in production as well as image systems for assembly/welding, augmented reality and robotics. The method presented here uses a structured light based vision system to reconstruct several accurate local 3D patches of the objects. A robust subpixel method for image features detection has been developed in order to increase 3D reconstruction accuracy. The Curvature method is then used to compute a geometric invariant "footprint" to discriminate reconstructed patches, which allows to match them with the object's model. Pose recovering is performed by using the prediction - verification hypotheses paradigm. Some experimental results are given to show the efficiency of the proposed solution when applied to a complex free form object.
A distributed inflection model for translating into morphologically rich languages

Lexical sparsity is a major challenge for machine translation into morphologically rich languages. We address this problem by modeling sequences of fine-grained morphological tags in a bilingual context. To overcome the issue of ambiguous word analyses, we introduce soft tags, which are under-specified representations retaining all possible morphological attributes of a word. In order to learn distributed representations for the soft tags and their interactions we adopt a neural network approach. This approach allows for the combination of source and target side information to model a wide range of inflection phenomena. Our re-inflection experiments show a substantial increase in accuracy compared to a model trained on morphologically disambiguated data. Integrated into an SMT decoder and evaluated for English-Italian and English-Russian translation, our model yields improvements of up to 1.0 BLEU over a competitive baseline.
Affect and State Dysregulation as Moderators of the Relationship Between Childhood Sexual Abuse and Nonsuicidal Self-injury

Nonsuicidal self-injury (NSSI) is a significant problem in both clinical and nonclinical populations. Affect and state dysregulation are frequently observed in survivors of childhood sexual abuse and in those who engage in NSSI. Both have been found to predict NSSI, and affect regulation has also been modeled as a mediator of NSSI. This study extends present research by modeling both affect and state dysregulation as moderators of NSSI. The findings are discussed as an extension of the tension reduction theory and within a conceptualization of posttraumatic stress disorder (PTSD) as an asymmetry of the approach-avoidance neurophysiological system.
A Simplified Macroscopic Urban Traffic Network Model for Model-Based Predictive Control

Abstract A model predictive control (MPC) approach offers several advantages for controlling and coordinating urban traffic networks. To apply MPC in large urban traffic networks, a fast model that has a low on-line computational complexity is needed. In this paper, a simplified macroscopic urban traffic network model is proposed and tested. Compared with a previous model, the model reduces the computing time by enlarging its updating time intervals, and preserves the computational accuracy as much as possible. Simulation results show that the simplified model reduces the computing time significantly, compared with the previous model that provided a good trade-off between accuracy and computational complexity. We also illustrate that the simplifications introduced in the simplified model have a limited impact on the accuracy of the simulation results. As a consequence, the simplified model can be used as prediction model for MPC for larger urban traffic network.
Standalone eNode-B design with integrated virtual EPC in public safety networks

LTE technology is considered as the next enabler of the public safety networks with regard of its performance and reliability. The mission critical communication in public safety network requires non-stop connectivity, especially in natural disaster scenarios. To provide further reliability, the eNode-Bs should ensure connectivity when the backhaul connection fails. This paper proposes a standalone eNode-B architecture, which deploys its own integrated virtual EPC to ensure service without backhaul connection. The proposed standalone eNode-Bs are also designed to establish backhaul connection with each other to extend the coverage without need for a central EPC structure. Standalone LTE solutions for PSNs that fall within the scope of this paper, aim to offer resiliency, robustness, dynamicity, and high quality service. The basic LTE functions and further design challenges, related to connected or non-connected standalone eNode-Bs, are discussed through the paper.
SeBPR: Semantics Enhanced Bayesian Personalized Ranking with Comparable Item Pairs

Learning user preferences from their implicit feedbacks is crucial to enable recommendations in various online applications. The Bayesian personalized ranking (BPR) with pairwise preference learning has been reported as one of the most promising algorithms for this problem. It follows a fundamental assumption that a user prefers interacted items to the unobserved items, which feedbacks have not happened. Then in the item pair generation, it either uniformly samples negative samples from unobserved items or incorporate some heuristics for an observed item. This paradigm would obtain noisy item pairs thus lead to a biased solution and a prolonged training period. In this paper, we attempt to enhance BPR with semantics. We first introduce semantically comparable item pairs and elaborate why we should adopt them into pairwise learning. We then present what semantics can be utilized and how can they be modeled. Furthermore, we propose a new method named Semantics enhanced Bayesian Personalized Ranking (SeBPR) to incorporate semantically comparable item pairs into the BPR learning framework. Finally, experimental results demonstrate that the proposed methods could reduce the noisy relationships for learning and thus improve the recommendation accuracy.
Genetic analysis of the CYP2D6 locus in a Hong Kong Chinese population.

BACKGROUND The cytochrome P450 CYP2D6 enzyme debrisoquine 4-hydroxylase metabolizes many different classes of commonly used drugs, such as tricyclic antidepressants and neuroleptics. Genetic polymorphism of the CYP2D6 gene is responsible for pronounced interindividual and interracial differences in the metabolism of these drugs. The CYP2D6*10 allele and its variants are the most frequent alleles found in Orientals, and they are responsible for diminished debrisoquine 4-hydroxylase activity because of the presence of a C(188)-->T mutation in exon 1. METHODS One hundred nineteen Hong Kong Chinese subjects were genotyped by means of allele-specific PCR, PCR, and restriction enzyme analysis for 10 CYP2D6 alleles (CYP2D6*1, *2, *4D, *5, *8/*14, *10A, *10B, *15, *16, and J9). RESULTS CYP2D6*10B was the most prevalent allele, and CYP2D6*10/CYP2D6*10 was the most frequent genotype, representing 41.17% [corrected] of the population. CONCLUSIONS There was no significant difference in the prevalence of the alleles analyzed between our study and the Chinese populations genotyped previously. This is the largest study in terms of the number of CYP2D6 alleles analyzed in an Oriental population and the first one conducted in a Hong Kong Chinese population.
Real-Time Detection and Understanding of Isolated Protruded Fingers

Making sense of hand gestures in applications such as novel user interfaces is an active area of research. Many current methods use complex 3D model of non-rigid hands and involved paradigms in solving the general problem. In this paper we look at a subproblem of sign language alphabet recognition where gestures are made with protruded fingers. In contrast to the more intricate schemes, we propose a simple, fast classification algorithm using two dimensional projection of Euler angles. Not only is our scheme novel, it lends itself to a real time implementation.
Is Mental Illness Socially Constructed

This paper will critically analyse, how the use of a bio-medical model, philosophically rooted in positivism and a diagnostic language that confuses “truth” with diagnostic perspectives has led to an obsession with “compliance” on a global scale and a failure to recognize how medical discourses have negatively influenced how peoples’ illnesses are experienced, depicted and viewed within society, with specific reference to schizophrenia (Walker, 2006). There have been endeavours by psychologists to homogenize language classification and diagnostic systems across cultures, making the diagnostic criteria universal (Marsella & Yamada, 2010). However, this ethnocentric bias has led to frequent misdiagnosis and ethical harms as it is often taken for granted how certain illnesses are culturally taboo and have particular social and cultural stigmas (Conrad & Barker, 2010; Hassim & Wagner, 2013; Li, Hatzidimitriadou & Psoninos, 2014). This paper concludes that current diagnostic systems are too positivist and clinicians need to aware of the social constructionist element in the diagnosis of mental illness.
A Suite of Early Eocene (~55 Ma) Climate Model Boundary Conditions

Abstract. We describe a set of early Eocene (~ 55 Ma) climate model boundary conditions constructed in a self-consistent reference frame and incorporating recent data and methodologies. Given the growing need for uniform experimental design within the Eocene climate modelling community and the challenges faced in simulating the prominent features of Eocene climate, we make publicly available our data sets of Eocene topography, bathymetry, tidal dissipation, vegetation, aerosol distributions and river runoff. Major improvements in our boundary conditions over previous efforts include the implementation of the ANTscape palaeotopography of Antarctica, more accurate representations of the Drake Passage and Tasman Gateway, as well as an approximation of sub grid cell topographic variability. Our boundary conditions also include for the first time modelled estimates of Eocene aerosol distributions and tidal dissipation, both consistent with our palaeotopography and palaeobathymetry. The resolution of our data sets is unprecedented and will facilitate high resolution climate simulations. In light of the inherent uncertainties involved in reconstructing global boundary conditions for past time periods these data sets should be considered as one interpretation of the available data and users are encouraged to modify them according to their needs and interpretations. This paper marks the beginning of a process for reconstructing a set of accurate, open-access Eocene boundary conditions for use in climate models.
A MARKET ENTRY TIMING MODEL FOR NEW TECHNOLOGIES *

A central issue in new product development and planning is the market timing/entry decision. An entry too early may risk pushing an under-developed product into the marketplace, with possible negative results; however, a product/technotogy may sacrifice sales if entry is delayed too long. A market diffusion model is developed that incorporates negative word-of-mouth associated with new product failure, resulting from premature introduction. Our analysis suggests that, when introducing a new technology, significant penalties may be associated with mistiming introduction. The analysis was applied to a problem facing the photovoltaic program of the Department of Energy. A proposal to construct a 100-home demonstration program for photovoltaics (PV) * in the Southwest was being evaluated. The analysis of this case showed that an argument can be made to delay the demonstration program for several years and that significant risks (in terms of lowered ultimate market penetration) exist when starting this PV demonstration program prematurely. (MARKETING, NEW PRODUCTS; DIFFUSION MODELS)
Commodity Money in a Convex Trading Post Sequence Economy

General equilibrium is investigated with N commodities deliverable at T dates traded spot and futures at Â½ N 2T 3 dated commodity-pairwise trading posts. Trade is a resource-using activity recovering transaction costs through the spread between (bid) wholesale) and ask (retail) prices (pairwise rates of exchange). Budget constraints are enforced at each trading post separately implying demand for a carrier of value between trading posts and over time, commodity money (spot or futures). Trade in media of exchange and stores of value is the difference between gross and net inter-post trades. â€œDemand for â€˜moneyâ€™â€ is stocks held for retrade.
A Novel Piezo-Actuator-Sensor Micromachine for Mechanical Characterization of Micro-Specimens

Difficulties associated with testing and characterization of materials at microscale demands for new technologies and devices that are capable of measuring forces and strains at microscale. To address this issue, a novel electroactive-based micro-electro-mechanical machine is designed. The micromachine is comprised of two electroactive (piezoelectric) micro-elements mounted on a rigid frame. Electrical activation of one of the elements causes it to expand and induce a stress in the intervening micro-specimen. The response of the microspecimen to the stress is measured by the deformation and thereby voltage/resistance induced in the second electro-active element. The concept is theoretically proven using analytical modeling in conjunction with non-linear, three dimensional finite element analyses for the micromachine. Correlation of the output voltage to the specimen stiffness is shown. It is also demonstrated through finite element and analytical analysis that this technique is capable of detecting non-linear behavior of materials. A characteristic curve for an isotropic specimen exhibiting linear elastic behavior is developed. Application of the proposed device in measuring coefficient of thermal expansion is explored and analytical analysis is conducted.
Modeling and analysis of handover failure probability in small cell networks

Mobility management in small cell networks is of utmost importance, and is currently under study in 3GPP Release-12. In this article, we model and analyze the outbound handover failure probability in small cell networks, in which a given user crosses its serving cell coverage border before his time-to-trigger elapses, without connecting to his target base station. Using tools from stochastic geometry, a closed-form expression of the handover link failure probability is characterized, as a function of shadowed channel fading, hysteresis margin, time-to-trigger, users' velocity and traveled distances. Numerical results show the effectiveness of the proposed analytical model and provide key insights into the problem of mobility management.
Transient Gastric Irritation in the Neonatal Rats Leads to Changes in Hypothalamic CRF Expression, Depression- and Anxiety-Like Behavior as Adults

Aims A disturbance of the brain-gut axis is a prominent feature in functional bowel disorders (such as irritable bowel syndrome and functional dyspepsia) and psychological abnormalities are often implicated in their pathogenesis. We hypothesized that psychological morbidity in these conditions may result from gastrointestinal problems, rather than causing them. Methods Functional dyspepsia was induced by neonatal gastric irritation in male rats. 10-day old male Sprague-Dawley rats received 0.1% iodoacetamide (IA) or vehicle by oral gavage for 6 days. At 8–10 weeks of age, rats were tested with sucrose preference and forced-swimming tests to examine depression-like behavior. Elevated plus maze, open field and light-dark box tests were used to test anxiety-like behaviors. ACTH and corticosterone responses to a minor stressor, saline injection, and hypothalamic CRF expression were also measured. Results Behavioral tests revealed changes of anxiety- and depression-like behaviors in IA-treated, but not control rats. As compared with controls, hypothalamic and amygdaloid CRF immunoreactivity, basal levels of plasma corticosterone and stress-induced ACTH were significantly higher in IA-treated rats. Gastric sensory ablation with resiniferatoxin had no effect on behaviors but treatment with CRF type 1 receptor antagonist, antalarmin, reversed the depression-like behavior in IA-treated rats Conclusions The present results suggest that transient gastric irritation in the neonatal period can induce a long lasting increase in depression- and anxiety-like behaviors, increased expression of CRF in the hypothalamus, and an increased sensitivity of HPA axis to stress. The depression-like behavior may be mediated by the CRF1 receptor. These findings have significant implications for the pathogenesis of psychological co-morbidity in patients with functional bowel disorders.
Individual Attitudes Towards Immigrants: Welfare-State Determinants Across Countries

This paper analyzes welfare-state determinants of individual attitudes towards immigrants - within and across countries - and their interaction with labor-market drivers of preferences. We consider two different mechanisms through which a redistributive welfare system might adjust as a result of immigration. Under the first scenario, immigration has a larger impact on individuals at the top of the income distribution, while under the second one it is low-income individuals who are most affected through this channel. Individual attitudes are consistent with the first welfare-state scenario and with labor-market determinants of immigration attitudes. In countries where natives are on average more skilled than immigrants, individual income is negatively correlated with pro-immigration preferences, while individual skill is positively correlated with them. These relationships have the opposite signs in economies characterized by skilled migration (relative to the native population). Such results are confirmed when we exploit international differences in the characteristics of destination countries' welfare state.
Simple reservoirs with chain topology based on a single time-delay nonlinear node

A physical scheme based on a single nonlinear dynamical system with delayed feedback has been recently proposed for Reservoir Computing (RC) [1]. In this paper we present a computational implementation of this idea using a simple chain topology with properties derived from its physical counterpart (e.g. the reservoir is defined by two tunable parameters related to feedbackand input-strength terms). An application to time series prediction is described and a comparison with other standard reservoir computing methods is given.
A Novel Technique for Image Authentication in Frequency Domain Using Discrete Fourier Transformation Technique (IAFDDFTT)

In this paper a novel technique for Image Authentication in Frequency Domain using Discrete Fourier Transformation Technique (IAFDDFTT) has been proposed to authenticate a gray level PGM, TIFF image by embedding a message/image where 2 x 2 submatrix is taken as source matrix from the image matrix and transform into the frequency domain. Two bits of authenticating message/image are fabricated within the real part of each pixel, excluding the first pixel of each submatrix where the position is chosen using a hash function. The process is repeated for each submatrix on row major order to insert authenticating message/image content and 128 bits Message Digest (MD-5), generated from authenticating message/image. Inverse DFT is performed to transform the embedded image from frequency to spatial domain as final step of encoding. The decoding is done through the reverse procedure. The experimental results against statistical and visual attack has been discussed and compared with the existing steganography algorithm like S-Tools. Histogram analysis, noise analysis, and standard deviation computation of source image with embedded image shows the better results in comparison with existing S-Tools.
Organizational Readiness and its Contributing Factors to Adopt KM Processes : A Conceptual Model

The main purpose of this paper is to propose a conceptual model that can be used to assess the organizational readiness and its contributing factors for KM process adoption. The authors propose that the organizational readiness should be assessed considering both organizational and individual factors. The model has been developed by integrating KM infrastructure and Unified Theory of Acceptance and Use of Technology (UTAUT). This model will enrich the KM literature, especially on KM readiness, while being the basis for other researchers and authors to develop further.