Miracle-dz/UniFAR-FTUs huggingface dataset:
What you see is what you get: contextual modulation of face scanning in typical and atypical development

Infants’ visual scanning of social scenes is influenced by both exogenously and endogenously driven shifts of attention. We manipulate these factors by contrasting individual infants’ distribution of visual attention to the eyes relative to the mouth when viewing complex dynamic scenes with multiple communicative signals (e.g. peek-a-boo), relative to the same infant viewing simpler scenes where only single features move (moving eyes, mouth and hands). We explore the relationship between context-dependent scanning patterns and later social and communication outcomes in two groups of infants, with and without familial risk for autism. Our findings suggest that in complex scenes requiring more endogenous control of attention, increased scanning of the mouth region relative to the eyes at 7 months is associated with superior expressive language (EL) at 36 months. This relationship holds even after controlling for outcome group. In contrast, in simple scenes where only the mouth is moving, those infants, irrespective of their group membership, who direct their attention to the repetitive moving feature, i.e. the mouth, have poorer EL at 36 months. Taken together, our findings suggest that scanning of complex social scenes does not begin as strikingly different in those infants later diagnosed with autism.
Memory-based crosstalk canceling CODECs for on-chip buses

In recent times, the ratio of the cross-coupling capacitance between adjacent on-chip wires on the same metal layer to the total capacitance of any wire is becoming quite large. As a consequence, signal wires exhibit a significant delay variation and noise immunity problems. This problem is aggravated for long on-chip buses. In this paper, we develop memory-based crosstalk canceling CODECs for on-chip buses. We describe an reduced ordered binary decision diagram (ROBDD) based methodology to accurately compute the bus area overhead of the CODECs. We report the asymptotic overhead for CODECs which cancel three kinds of crosstalk patterns, and demonstrate that the bus size overheads are lower than the corresponding overheads for a memoryless CODEC. This results in a reduced overall area utilization for memory-based crosstalk canceling CODECs, compared to their memoryless counterparts. We also demonstrate that the use of these crosstalk canceling CODECs enables a user to speed up a bus by a factor of over 6times. Further, by using our techniques, a user may trade off the speed gain against the attendant bus size overhead
A multi-theoretical perspective analysis of radical innovation research: An integrated framework

Radical innovation enterprise's acquiring of innovational resources through network embeddedness helps to improve its innovation performance. Meanwhile, to obtain innovation legitimacy relying on network embeddedness is a critical element to ensure the success of radical innovation and get access to resource under the constraints of institutional environment. Following this principle, literature review is conducted in the first part of this paper, combining relevant theoretical studies of enterprise network, resource and institution. Focused on enterprise radical innovation, this paper proposes an integrated model analyzing the impact of network embeddedness, innovation legitimacy acquisition and innovation resource acquisition on radical innovation performance. This study aims to contribute to radical innovation theory by shedding light on the importance of the impact of innovation legitimacy on the success of radical innovation in institution theory perspective. It also has important implication for Chinese enterprises in the context of institutional transition and network embeddedness to develop innovation by building legitimacy and obtaining resources successfully.
Incidence and in-hospital mortality of acute aortic dissection in China: analysis of China Health Insurance Research (CHIRA) Data 2011

Objective Acute aortic dissection (AAD) is a catastrophic event with high early mortality rate, but to date, no data on the incidence of AAD in Mainland China is available. This study aimed to estimate the incidence of AAD in China and characterize the clinical profile, management and in-hospital outcomes of this vascular event. Methods We used the China Health Insurance Research Data (the CHIRA Data) 2011 which comprises all inpatient hospital records (300,886) during the period of Jan. 1st 2011 to Dec. 31 2011 of 3,335,000 randomly sampled beneficiaries (1,718,500 men and 1,616,500 women) from 25 cities and counties in different economic-geographic regions of Mainland China. Patients with acute aortic dissection were identified according to International Classification of Disease 10th Revision (ICD-10) of I71.0. The estimated incidence of AAD was calculated using the equation: estimated incidence = 2.0 × (40% × hospital admission rate) + 60% × hospital admission rate. Results The hospital admission rate was 2.0/100,000 (65/3,325,000, 95% CI: 1.2–2.8). The estimated annual incidence of AAD was 2.8/100,000 (95% CI: 1.9–3.6) and was higher in male than in female (3.7 vs. 1.5, P < 0.001). The mean age was 58.9 ± 13.4 years. During the mean hospital stay of 23 ± 6 days, the overall in-hospital mortality was 13.9% (9/65). Conclusions Our study showed relatively lower but not negligible incidence and in-hospital mortality of AAD in the mainland of China. The mean age of patients with AAD in Chinese was younger than that reported by researches from west countries, while the male to female incidence ratio is similar to those reported by other studies.
Working Group Report on Internet/Intranet Security

The Intemeantranet security working group began with a panel discussion of several notable participants from industry: Philip Karlton and Taher Elgamal from Netscape, Lisa Pretty from Certicom, and Tom Markson and William Soley from Sun Microsystems. After some initial remarks from the panelists, there was a question and answer session. The following report outlines some of the panel member’s opinions about the current state of security and the research that remains to be performed.
Wrinkle surface instability of an inhomogeneous elastic block with graded stiffness

Surface instabilities have been studied extensively for both homogeneous materials and film/substrate structures but relatively less for materials with continuously varying properties. This paper studies wrinkle surface instability of a graded neo-Hookean block with exponentially varying modulus under plane strain by using the linear bifurcation analysis. We derive the first variation condition for minimizing the potential energy functional and solve the linearized equations of equilibrium to find the necessary conditions for surface instability. It is found that for a homogeneous block or an inhomogeneous block with increasing modulus from the surface, the critical stretch for surface instability is 0.544 (0.456 strain), which is independent of the geometry and the elastic modulus on the surface of the block. This critical stretch coincides with that reported by Biot (1963 Appl. Sci. Res. 12, 168–182. (doi:10.1007/BF03184638)) 53 years ago for the onset of wrinkle instabilities in a half-space of homogeneous neo-Hookean materials. On the other hand, for an inhomogeneous block with decreasing modulus from the surface, the critical stretch for surface instability ranges from 0.544 to 1 (0–0.456 strain), depending on the modulus gradient, and the length and height of the block. This sheds light on the effects of the material inhomogeneity and structural geometry on surface instability.
Linear sum capacity for Gaussian multiple access channel with feedback

This paper studies the class of generalized linear feedback codes for additive white Gaussian noise multiple access channel. This class includes (nonlinear) nonfeedback codes at one extreme and linear feedback codes by Schalkwijk and Kailath, Ozarow, and Kramer at the other extreme. The linear sum capacity CL(P), the maximum sum-rate achieved by the generalized linear feedback codes, is characterized under symmetric block power constraints P for all the senders. In particular, it is shown that the Kramer linear code achieves CL(P). Based on the properties of the conditional maximal correlation, an extension of the Hirschfeld-Gebelein-Renyi maximal correlation, it is conjectured that Kramer's linear code achieves not only the linear sum capacity, but also the general sum capacity, i.e., the maximum sum-rate achieved by arbitrary feedback codes.
Spectrally Extremal Vertices, Strong Cospectrality, and State Transfer

In order to obtain perfect state transfer between two sites in a network of interacting qubits, their corresponding vertices in the underlying graph must satisfy a combinatorial property called strong cospectrality. Here we determine the structure of graphs containing pairs of vertices which are strongly cospectral and satisfy a certain extremal property related to the spectrum of the graph. If the graph satisfies this property globally and is regular, we also show that the existence of a partition of the vertex set into pairs of vertices at maximum distance admitting perfect state transfer forces the graph to be distance-regular.
TRACTABLE ROBUST EXPECTED UTILITY AND RISK MODELS FOR PORTFOLIO OPTIMIZATION

Expected utility models in portfolio optimization are based on the assumption of complete knowledge of the distribution of random returns. In this paper, we relax this assumption to the knowledge of only the mean, covariance, and support information. No additional restrictions on the type of distribution such as normality is made. The investor’s utility is modeled as a piecewise‐linear concave function. We derive exact and approximate optimal trading strategies for a robust (maximin) expected utility model, where the investor maximizes his worst‐case expected utility over a set of ambiguous distributions. The optimal portfolios are identified using a tractable conic programming approach. Extensions of the model to capture asymmetry using partitioned statistics information and box‐type uncertainty in the mean and covariance matrix are provided. Using the optimized certainty equivalent framework, we provide connections of our results with robust or ambiguous convex risk measures, in which the investor minimizes his worst‐case risk under distributional ambiguity. New closed‐form results for the worst‐case optimized certainty equivalent risk measures and optimal portfolios are provided for two‐ and three‐piece utility functions. For more complicated utility functions, computational experiments indicate that such robust approaches can provide good trading strategies in financial markets.
Single-Channel Audio Sources Separation via Optimum Mask Filter

In many single-channel audio separation techniques, expressing a given audio mixture in terms of its underlying signals is often introduced as a challenging topic. Opposed to commonly used GMM based approaches, introducing a new mask filter for DFT mixtures, in this paper a VQ-based single channel audio separation approach is proposed. Compared with previously proposed methods including MIXMAX mask filter it is demonstrated that proposed mask filter improves separation performance in terms of SNR and MOS criterion. It isobserved that the experimental results agree with the given mathematical
Real-time behaviour profiling for network monitoring

This paper presents the design and implementation of a real-time behaviour profiling system for internet links. The system uses flow-level information, and applies data mining and information-theoretic techniques to automatically discover significant events based on communication patterns. We demonstrate the operational feasibility of the system by implementing it and performing benchmarking of CPU and memory costs using packet traces from backbone links. To improve the robustness of this system against sudden traffic surges, we propose a novel filtering algorithm. The proposed algorithm successfully reduces the CPU and memory cost while maintaining high profiling accuracy. Finally, we devise and evaluate simple yet effective blocking strategies to reduce prevalent exploit traffic, and build a simple event analysis engine to generate ACL rules for filtering unwanted traffic.
Lep-MAP3: robust linkage mapping even for low-coverage whole genome sequencing data

Motivation Accurate and dense linkage maps are useful in family-based linkage and association studies, quantitative trait locus mapping, analysis of genome synteny and other genomic data analyses. Moreover, linkage mapping is one of the best ways to detect errors in de novo genome assemblies, as well as to orient and place assembly contigs within chromosomes. A small mapping cross of tens of individuals will detect many errors where distant parts of the genome are erroneously joined together. With more individuals and markers, even more local errors can be detected and more contigs can be oriented. However, the tools that are currently available for constructing linkage maps are not well suited for large, possible low-coverage, whole genome sequencing datasets. Results Here we present a linkage mapping software Lep-MAP3, capable of mapping high-throughput whole genome sequencing datasets. Such data allows cost-efficient genotyping of millions of single nucleotide polymorphisms (SNPs) for thousands of individual samples, enabling, among other analyses, comprehensive validation and refinement of de novo genome assemblies. The algorithms of Lep-MAP3 can analyse low-coverage datasets and reduce data filtering and curation on any data. This yields more markers in the final maps with less manual work even on problematic datasets. We demonstrate that Lep-MAP3 obtains very good performance already on 5x sequencing coverage and outperforms the fastest available software on simulated data on accuracy and often on speed. We also construct de novo linkage maps on 7-12x whole-genome data on the Red postman butterfly (Heliconius erato) with almost 3 million markers. Availability and implementation Lep-MAP3 is available with the source code under GNU general public license from http://sourceforge.net/projects/lep-map3. Contact pasi.rastas@helsinki.fi. Supplementary information Supplementary data are available at Bioinformatics online.
Restoring 2D Content from Distorted Documents

This paper presents a framework to restore the 2D content printed on documents in the presence of geometric distortion and nonuniform illumination. Compared with text-based document imaging approaches that correct distortion to a level necessary to obtain sufficiently readable text or to facilitate optical character recognition (OCR), our work targets nontextual documents where the original printed content is desired. To achieve this goal, our framework acquires a 3D scan of the document's surface together with a high-resolution image. Conformal mapping is used to rectify geometric distortion by mapping the 3D surface back to a plane while minimizing angular distortion. This conformal "deskewing" assumes no parametric model of the document's surface and is suitable for arbitrary distortions. Illumination correction is performed by using the 3D shape to distinguish content gradient edges from illumination gradient edges in the high-resolution image. Integration is performed using only the content edges to obtain a reflectance image with significantly less illumination artifacts. This approach makes no assumptions about light sources and their positions. The results from the geometric and photometric correction are combined to produce the final output.
Lung protective mechanical ventilation

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Colony Variation in Staphylococcus lugdunensis

ABSTRACT Staphylococcus lugdunensis is being increasingly reported as a pathogen with an outcome resembling that of S. aureus rather than coagulase-negative staphylococci. Recent local isolates exhibited colonial variation that delayed identification and interpretation of clinical significance. Until now previous descriptions have not emphasized colonial variation as an important identifying characteristic of S. lugdunensis.
Self-healing Performance Anomalies in Web-based Applications

In this paper, we describe the SHõWA framework and evaluate its ability to recover from performance anomalies in Web-based applications. SHõWA is meant to automatically detect and recover from performance anomalies, without calling for human intervention. It does not require manual changes to the application source code or previous knowledge about its implementation details. The application is monitored at runtime and the anomalies are detected and pinpointed by means of correlation analysis. A recovery procedure is performed every time an anomaly is detected. An experimental study was conducted to evaluate the recovery process included in the SHõWA framework. The experimental environment considers a benchmarking application, installed in a high-availability system. The results show that SHõWA is able to detect and recover from different anomaly scenarios, before any visible error, higher-latency or work-in-progress loss is observed. It proved to be efficient in terms of time of repair. The performance impact induced on the managed system was low: the response time penalty per request varied between 0 and 2.21 milliseconds, the throughput was affected in less than 1%.
Smart Ungual Biopenetrant From the Roots of Beta Vulgaris

The main objective of the current research was to isolate biopenetrant from Beta vulgaris and formulate bioadhesive layers loaded with terbinafine using this biopenetrant for delivery through nail. Form the preparation of films, Rosa centifolia and Vitis vinifera were used as a biopolymer. Beta vulgaris was used as biopenetrant. The formulations prepared using Beta vulgaris biopenetrant were compared with formulations containing papain as standard penetrant. Four bio-adhesive films of different ratios were prepared by film casting method using each penetrant. The formulated films were evaluated for various parameters like weight, thickness, nail adhesivity, content uniformity, surface pH, folding endurance, and in-vitro drug permeation. The formulation LB4 (containing 1:4 Beta vulgaris biopenetrant) was found to be the best formulation having R2 value 0.990 with zero order as best fit model. The results obtained conclude that biopenetrants can be used as natural penetration enhancers.
The persistence of isolated tumor cells in bone marrow from patients with breast carcinoma predicts an increased risk for recurrence

The prognostic significance of isolated tumor cells (ITCs) in bone marrow (BM) from patients with breast carcinoma at the time of their primary diagnosis recently was been confirmed by a large pooled analysis. If the persistence of ITCs after adjuvant therapy confers a similar risk for recurrence, then it would be an indication to consider secondary adjuvant therapy.
Nanotechnology and mesenchymal stem cells with chondrocytes in prevention of partial growth plate arrest in pigs.

INTRODUCTION This study describes the results achieved using a combination of allogeneic mesenchymal stem cells (MSCs) with chondrocytes (CHC) and a new scaffold consisting of type-I collagen and chitosan nanofibers in the prevention of partial growth plate arrest after iatrogenic injury in pigs. MATERIAL AND METHODS The miniature pig was selected as an experimental model to compare the results in the left femoral bones (MSCs and CHC in scaffold transplantation into the iatrogenic partial distal growth plate defect) and right femoral bones (scaffold alone transplantation). The experimental group consisted of 10 animals. Bone marrow from os ilium as the source of MSCs was used. A porous cylinder consisting of 0.5% by weight type-I collagen and 30% by weight chitosan, was the optimal choice. The length of the bone and angular deformity of distal femur after the healing period was measured and the quality and structure of the newly formed cartilage was histologically examined. RESULTS Transplantation of the composite scaffold in combination with MSCs and chondrocytes led to the prevention of growth disorder and angular deformity in the distal epiphysis of the left femur. Compared to the right (control) femur, tissue similar to hyaline cartilage with signs of columnar organization typical of the growth plate occurred in most cases. CONCLUSIONS The promising results of this study reveal the new and effective means for the prevention of bone bridge formation after growth plate injury.
Are Health Videos from Hospitals, Health Organizations, and Active Users Available to Health Consumers? An Analysis of Diabetes Health Video Ranking in YouTube

Health consumers are increasingly using the Internet to search for health information. The existence of overloaded, inaccurate, obsolete, or simply incorrect health information available on the Internet is a serious obstacle for finding relevant and good-quality data that actually helps patients. Search engines of multimedia Internet platforms are thought to help users to find relevant information according to their search. But, is the information recovered by those search engines from quality sources? Is the health information uploaded from reliable sources, such as hospitals and health organizations, easily available to patients? The availability of videos is directly related to the ranking position in YouTube search. The higher the ranking of the information is, the more accessible it is. The aim of this study is to analyze the ranking evolution of diabetes health videos on YouTube in order to discover how videos from reliable channels, such as hospitals and health organizations, are evolving in the ranking. The analysis was done by tracking the ranking of 2372 videos on a daily basis during a 30-day period using 20 diabetes-related queries. Our conclusions are that the current YouTube algorithm favors the presence of reliable videos in upper rank positions in diabetes-related searches.
Improving denial of service resistance using dynamic local adaptations

We improve the resistance of gossip-based multicast to (Distributed) Denial of Service (DoS) attacks using dynamic local adaptations at each node. Each node estimates the current state of the attack on the system, and then adapts its behavior according to this local estimation. The adaptation is achieved through modeling the problem of propagating messages under a DoS attack as an optimization problem, and solving it using linear programming, independently at each node. Simulation results show that when the system is under attack, the local decisions each node takes bring the system to a stable point, which is the solution of the linear programming problem. The adaptation leads to propagation times that are 30% faster than those of existing DoS-resistant gossip-based protocols.
Thermal analysis of outer rotor type IPMSM using thermal equivalent circuit

According to miniaturization, estimation of motor temperature is necessary, and many approaches are developed. In this paper, temperature estimation of interior magnet synchronous motor (IPMSM) is conducted. Heat source of the IPMSM considering core losses of rotor and eddy current loss of PM is applied the thermal equivalent circuit network. And thermal resistance and thermal capacitance is considered. For verifying the thermal equivalent circuit, heating test is conducted to obtain the reliability of thermal analysis. And transient and unusual state is analyzed due to changing of load and speed.