Miracle-dz/UniFAR-FTUs huggingface dataset:
Nature of nurture: Mentally superior young adults in the Philippines

This article compares aspects of the nurturance of giftedness discovered in primary data with those found in secondary research, and pinpoints similarities or convergences. The qualitative research project involved 34 pairs of mentally superior young adults and their respective biological mothers, living in the National Capital Region of the Philippines at the time of the data collection. Convergences in the primary and secondary data indicate that mothers’ educational background and training affect their parenting; and that prenatal care, medical supervision and nutrition during the early years are of utmost importance. The family configurations are similar in terms of parental ages and number of siblings. Nature of nurture comes in the form of deficiency and growth motivations that could develop the intended traits and behavior associated with gifted individuals; knowledge of these possible links to intellectual development can improve parents’ and schools’ practices in nurturing children. The findings provide information that can be used in curriculum planning and mentoring programs to direct the nurturance of identified mentally superior individuals towards optimizing their potential.
Clustering uncertain interval data using a new Hausdorff-based metric

This paper presents a new index for measuring interval distances and its related metric. The proposed index and metric are both based on the Hausdorff distance which can be used for clustering uncertain interval data. Then using the new metric, a clustering method is introduced for clustering of intervals. Finally, some experiments are provided to validate the method. Results show that the method can identify appropriate clusters efficiently.
An Enterprise Intelligent System Development and Solution Framework

The recent trend has been using hybrid approach rather than using a single intelligent technique to solve the problems. In this paper, we describe and discuss a framework to develop enterprise solutions that are backed by intelligent techniques. The framework not only uses intelligent techniques themselves but it is a complete environment that includes various interfaces and components to develop the intelligent solutions. The framework is completely Web-based and uses XML extensively. It can work like shared plat-form to be accessed by multiple developers, users and decision makers.
A method of compensating inter-reflections in color photometric stereo

In photometric stereo inter-reflections inside the object may blur the images in shade, resulting in blurred shapes. They may occur in the concave surface parts while they may not in the convex parts, and as the curvature of the concavity increases, the effects may be more serious. In this paper, we introduce an image filtering function in the process of shape reconstruction from color images, to compensate the effects of local inter-reflections in the Fourier transform domain using a model of the magnitude of the effects. The method is described mathematically and experimental results are given to show the usefulness.
Real-Time Labeling of MPEG-2 Compressed Video

Digital mass recording devices for video data will enter the consumer market soon. Service providers are reluctant to offer services in digital form because of their fears for unrestricted duplication and dissemination. Therefore adequate copy protection systems should be developed, most likely based on labeling techniques. In this paper we propose two different techniques for the real-time labeling of digital video. Both methods embed the label information directly into an MPEG compressed video bitstream. The first method embeds the label by changing variable length codes in the bitstream. The second method discards some of the high frequency DCT-coefficients of the bitstream to embed the label. The first technique is computationally less expensive than the second one, however, the second one is more robust against attacks to remove the label. We show that the label can still be extracted after MPEG re-encoding at a lower bit-rate.
Priority-Based Conflict Resolution in Inconsistent Relational Databases

We study here the impact of priorities on conflict resolution in inconsistent relational databases. We extend the framework of [1], which is based on the notions of repair and consistent query answer. We propose a set of postulates that an extended framework should satisfy and consider two instantiations of the framework: (locally preferred)l -repairs and (globally preferred)g-repairs. We study the relationships between them and the impact each notion of repair has on the computational complexity of repair checking and consistent query answers.
Study of next-generation infrastructure: InfiniBand HPC grid computing for telecommunications data center

Grid computing is increasingly being viewed as the next phase of distributed computing. Built on pervasive Internet standards, grid computing enables organizations to share computing and information resources across department and organizational boundaries in a secure, highly efficient manner. Grid computing originates in e-Science and its early development was driven to a large extent by the requirements of large-scale computing and efficient sharing of huge datasets. e-Business requirements led to the adoption of emerging Web services technologies-initially developed for distributed business application integration. Therefore grid computing can be applied to enterprise computing within and across organizations and pave the way for utility computing. This paper propose an all InfiniBand grid computing proof of concept (PoC) to deploy “Database-as-a-Service” for mission-critical Oracle deployments in high-end transactional situations. This shows that performance of grid architecture—leveraging blade servers as well as InfiniBand networking and Storage is capable of achieving results equivalent to traditional, high-end SMP systems at significantly lower cost and power consumption levels.
ZigBee-Ready Wireless Water Leak Detector

To prevent water leak from causing damage, the use of centralized alarming system consisting of several water leak detectors can be placed in targeted areas. However, the installation costs for these types of alarming systems are high, especially in already finished buildings since they require a lot of wiring for handling of the alarming system. To solve this problem water leak detectors that use the ZigBee technology to communicate with a control center have been studied and developed in this work. Thanks to the wireless connection, the sensor is easy to place in any area where water leak detection is desired. The wireless water detector system in the ZigBee network has a very high reliability and a long battery lifetime of 10 years.
From Dual to Primal Sub-optimality for Regularized Empirical Risk Minimization

Regularized empirical risk minimization problems are fundamental tasks in machine learning and data analysis. Many successful approaches for solving these problems are based on a dual formulation, which often admits more efficient algorithms. Often, though, the primal solution is needed. In the case of regularized empirical risk minimization, there is a convenient formula for reconstructing an approximate primal solution from the approximate dual solution. However, the question of quantifying the suboptimality of the primal solution so obtained, and how it relates to sub-optimality of the approximate dual solution, has not been well studied. This paper presents two results. First, we show that when the primal has Lipschitz continuous gradient, we can recover an O( )-sub-optimal primal solution from an O( )-sub-optimal dual solution. Second, when the primal is Lipschitz continuous, we can recover an O( √ )-sub-optimal primal solution from an O( )-sub-optimal dual solution. These results imply that an algorithm that is linearly convergent for the dual problem can yield primal iterates that converge R-linearly to the solution of the primal.
GRB 060206: hints of precession of the central engine?

Aims. The high-redshift (z = 4.048) gamma-ray burst GRB 060206 showed unusual behavior, with a significant rebrightening by a factor of ∼4 at about 3000 s after the burst. We argue that this rebrightening implies that the central engine became active again after the main burst produced by the first ejecta, then drove another more collimated jet-like ejecta with a larger viewing angle. The two ejecta both interacted with the ambient medium, giving rise to forward shocks that propagated into the ambient medium and reverse shocks that penetrated into the ejecta. The total emission was a combination of the emissions from the reverse- and forward- shocked regions. We discuss how this combined emission accounts for the observed rebrightening. Methods. We apply numerical models to calculate the light curves from the shocked regions, which include a forward shock originating in the first ejecta and a forward-reverse shock for the second ejecta. Results. We find evidence that the central engine became active again 2000 s after the main burst. The combined emission produced by interactions of these two ejecta with the ambient medium can describe the properties of the afterglow of this burst. We argue that the rapid rise in brightness at ∼3000 s in the afterglow is due to the off-axis emission from the second ejecta. The precession of the torus or accretion disk of the central engine is a natural explanation for the departure of the second ejecta from the line of sight.
A LONGITUDINAL STUDY OF THE CAUSES OF TECHNOLOGY ADOPTION AND ITS EFFECT UPON NEW VENTURE GROWTH

This six-year study of the causes of technology adoption and its effect upon new venture growth explains anomalous past findings that new non-technology based ventures have been slow to adopt technology compared with established businesses. In contrast, I found that new ventures invest early in product design technology and low cost marketing technologies; however, they hold off adoption of production and management information technologies. Thus, timing of adoption depends upon technology type. Similarly, the causes of adoption depend upon technology type. Adoption of all technologies were motivated by technology strategy and competitive threat; however, expected cost savings, customer attraction, and financial resources had varying effects. Adoption of all types of technology caused new venture growth.
A Hybrid Approach to Maintain Consistency of Cooperative Software Development Activities

Maintaining consistency of objects produced during cooperative software development activities is an important issue in the development process field. We propose a solution based on a specific transaction protocol which mixes a non-semantic and a semantic part. The non-semantic part is devoted to the correction of interactions between activities and the semantic part is devoted to the individual correction of activities. The protocol allows software development activities, organised in a base/sub-base hierarchy, to cooperate by exchanging inconsistent results and forces them to compensate these inconsistencies. Consistency of results is considered regarding how they are produced (correction of interactions) and what is produced (correction of results). We use a non-semantic protocol based on an incremental syntactical analysis of the activities interactions for the first point and a semantic protocol based on a temporal logic for the second. The integration of both protocols allows to maintain the consistency of cooperative software develop-
Fast computations in the lattice of polynomial rational function fields

By Luroth’s theorem, all intermediate fields of the extension k(z) : k, k an arbitrary field, are simple. Those that contain a nonconstant polynomial, the polynomial rational function fieids, constitute a sublattice (with respect to set inclusion). We give a fast algorithm for computing a generator of k (p, q), wlhich is similar to the Euclidean algorithm, and also an extended version, that expresses this generator in terms of p and q. These algorithms work over any computable field, in particular, no assumption on the characteristic is needed. Additionally, if k has zero characteristic, we use a deep result of Rkt to give a fast m$thod to compute the other lattice operation, i.e., a generator of the intersection field k(p) n k(q). 1 Intermediate Fields and Composition If not specified differently, polynomials have coefficients in some fixed field k, and are univaxiate using x as variable, i.e., they usually are elements of k [z]. Similarly, a rational function is considered an element of the simple transcendent al extension k(z). Polynomials and rational functions can be composed by f 0 9(Z) := f(9(~)). We also use the notation j(g) for ~ o ! 9, if convenient. Permission to make digital/hard copies of all or part of this material for personal or classroom use is granted without fee provided that the copies are not made or distributed for profit or commercial advantage, the copyright notice, the title of the publication and its date appear, and notice is given that copyright is by permission of the ACM, Inc. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires specific permission and/or fee. ISSAC’96, Zurich, Switzerland; @1996 ACM 0-89791-796-0/96/07. $3.50 For nonconstant rational functions ~ and p there is at most one rational function r such that j = r o p; it is denoted by f + p in the affirmative case. If f is a polynomial and the degree of the numerator of p is greater than its denominator then both r and p are polynomials (see e.g. [6], [4], or [3] for such basic properties). The degree of a polynomial p will be denoted by ~], and we use the convention [0] = O. This notion can be extended to a rational function j = ~, where p and q have no common divisor, by
Virtual Network Simulator Architecture

Network virtualization is seen as a promising concept for the future Internet. It offers high efficiency and flexibility, and is a good candidate to address the ossification of the Internet. It is also a key enabler for resilient and low latency cloud services. Network virtualization is also expected to give rise to new business roles. Therefore, these business roles, their responsibilities and their interactions should be deeply analysed. Understanding the effects of design decisions and parameter settings in a virtual network ecosystem can be achieved by modelling and simulation. In this paper, we introduce a new simulation environment, in which a network virtualization ecosystem with its all players and the infrastructures they possess can be modelled, and the performance of new designs for efficient and resilient virtual networks and cloud connections can be assessed.
Double Bolus Application in TWIST-MR-Angiography of the Cervical Arteries

Purpose. The aim of the present work was to test the feasibility of the time-resolved MR-angiography (TWIST-MRA) of cervical arteries using double bolus injection. Material and Methods. TWIST-MRA with a temporal resolution of 8.4 seconds for each frame and a spatial resolution with a voxel size of 0.61 × 0.58 × 0.8 mm3 was performed in 24 patients. A biphasic bolus injection protocol was used with the second injection being started 21 seconds after the first contrast dye bolus. Diagnostic image quality was rated according to a 4-point scale. Results. In 12 patients (50%) no clear separation between the cervical venous and arterial vessels was evident after the first bolus injection. Using TWIST-MRA data acquired after the second bolus a sufficient diagnostic image quality (rating ≥3, mean 3.5) could be obtained in 22 of 24 patients (92%). Discussion. The double bolus injection protocol using TWIST-MRA allows for very good separation of the cervical arteries.
Annotation for automation: rapid generation of file system tools

Today file system tools and file-system aware storage applications are tightly coupled with file system implementations. Developing these applications is challenging because it requires detailed knowledge of the file system format, and the code for interpreting file system metadata has to be written manually. This code is complex and file-system specific, and so the application requires significant re-engineering to support different file systems. We propose a file system annotation language for specifying a file system's on-disk metadata format. File system developers are asked to annotate the data structure definitions of a file system's metadata. The annotated code is parsed and used by tool-specific code templates to create interpretation routines (e.g., a metadata parser) for the desired file system tool. The benefit is that different tools can reuse the interpretation routines, and they are much less dependent on file system formats and implementations. We show the feasibility of this approach by implementing a compiler that generates a runtime metadata interpreter for an annotated toy file system. The generated code has low overhead (roughly 3%) compared to a hand-written version of the same application.
Model and algorithm for integrated charge plan in the steel industry

According to the demand of integrated production and the characteristic of charge plan in the steel industry, firstly, use graph theory to describe charge plan; secondly, a bi-objective charge plan model is introduced in detail considering weight range, flow limitation and other factors; To solve this model, a two-phase heuristic algorithm (THA) is introduced, which deals with the simple graph with vertex clustering method firstly, and then design a novel probability match algorithm to solve the optimization model; Finally, the simulation with large-scale production data shows that the model and algorithm is feasible.
Cul4A overexpression associated with Gli1 expression in malignant pleural mesothelioma

Malignant pleural mesothelioma (mesothelioma) is a highly aggressive cancer without an effective treatment. Cul4A, a scaffold protein that recruits substrates for degradation, is amplified in several human cancers, including mesothelioma. We have recently shown that Cul4A plays an oncogenic role in vitro and in a mouse model. In this study, we analysed clinical mesothelioma tumours and found moderate to strong expression of Cul4A in 70.9% (51/72) of these tumours, as shown by immunohistochemistry. In 72.2% mesothelioma tumours with increased Cul4A copy number identified by fluorescence in situ hybridization analysis, Cul4A protein expression was moderate to strong. Similarly, Cul4A was overexpressed and Cul4A copy number was increased in human mesothelioma cell lines. Because Gli1 is highly expressed in human mesothelioma cells, we compared Cul4A and Gli1 expression in mesothelioma tumours and found their expression associated (P < 0.05, chi‐square). In mesothelioma cell lines, inhibiting Cul4A by siRNA decreased Gli1 expression, suggesting that Gli1 expression is, at least in part, regulated by Cul4A in mesothelioma cells. Our results suggest a linkage between Cul4A and Gli1 expression in human mesothelioma.
A 2-D 5 Links to other WGs

The deliverable gives an overview over A2’s links to working groups I2, I4, and I5. It discusses how the language ACE can be used for extraction of protein intera c ions from literature (A2/I2), how Xcerpt can be used to query bioinformatics contents (A2/I4), and ho w Prova can be used to implement reactive bioinformatics workflows (A2/I5). Keyword List Bioinformatics and querying, bioinformatics and reactivi ty, bioinformatics and reasoning Project co-funded by the European Commission and the Swiss F ederal Office for Education and Science within the Sixth Fram ework Programme.
Biological, Psychological, and Sociocultural Factors Contributing to the Drive for Muscularity in Weight-Training Men

The drive for muscularity and associated behaviors (e.g., exercising and dieting) are of growing importance for men in Western societies. In its extreme form, it can lead to body image concerns and harmful behaviors like over-exercising and the misuse of performance-enhancing substances. Therefore, investigating factors associated with the drive for muscularity, especially in vulnerable populations like bodybuilders and weight trainers can help identify potential risk and protective factors for body image problems. Using a biopsychosocial framework, the aim of the current study was to explore different factors associated with drive for muscularity in weight-training men. To this purpose, German-speaking male weight trainers (N = 248) completed an online survey to determine the extent to which biological, psychological, and sociocultural factors contribute to drive for muscularity and its related attitudes and behaviors. Using multiple regression models, findings showed that media ideal body internalization was the strongest positive predictor for drive for muscularity, while age (M = 25.9, SD = 7.4) held the strongest negative association with drive for muscularity. Dissatisfaction with muscularity, but not with body fat, was related to drive for muscularity. The fat-free mass index, a quantification of the actual degree of muscularity of a person, significantly predicted drive for muscularity-related behavior but not attitudes. Body-related aspects of self-esteem, but not global self-esteem, were significant negative predictors of drive for muscularity. Since internalization of media body ideals presented the highest predictive value for drive for muscularity, these findings suggest that media body ideal internalizations may be a risk factor for body image concerns in men, leading, in its most extreme form to disordered eating or muscle dysmorphia. Future research should investigate the relations between drive for muscularity, age, body composition, internalization, dissatisfaction with muscularity and body-related self-esteem using longitudinal study designs. Limitations concern the cross-sectional design of the study, self-reported body composition measures and the homogeneity of the sample.
Color Face Recognition Based on Steerable Pyramid Transform and Extreme Learning Machines

This paper presents a novel color face recognition algorithm by means of fusing color and local information. The proposed algorithm fuses the multiple features derived from different color spaces. Multiorientation and multiscale information relating to the color face features are extracted by applying Steerable Pyramid Transform (SPT) to the local face regions. In this paper, the new three hybrid color spaces, YSCr, Z n SCr, and B n SCr, are firstly constructed using the Cb and Cr component images of the Y Cb Cr color space, the S color component of the HSV color spaces, and the Z n and B n color components of the normalized XYZ color space. Secondly, the color component face images are partitioned into the local patches. Thirdly, SPT is applied to local face regions and some statistical features are extracted. Fourthly, all features are fused according to decision fusion frame and the combinations of Extreme Learning Machines classifiers are applied to achieve color face recognition with fast and high correctness. The experiments show that the proposed Local Color Steerable Pyramid Transform (LCSPT) face recognition algorithm improves seriously face recognition performance by using the new color spaces compared to the conventional and some hybrid ones. Furthermore, it achieves faster recognition compared with state-of-the-art studies.