Miracle-dz/UniFAR-FTUs huggingface dataset:
Multivariate temporal Link Prediction in evolving social networks

Link prediction in social networks refers to predicting the emergence of future connections between nodes. It is considered as one of the important tasks in various data mining applications for recommendation systems, bioinformatics, world wide web and it has attracted a great deal of attention recently. There are several studies on link prediction based on static topological similarity metrics and static graph representation without considering the temporal evolutions of link occurrences. Most of the previous methods for link prediction in evolving networks use the exisiting connections in the network to predict new ones. In this paper, we propose a novel method, called Multivariate Time Series Link Prediction, for link prediction in evolving networks that integrates (1) temporal evolution of the network; (2) node similarities; (3) node connectivity information. The proposed method is based on a Vector Autoregression (VAR) Model for Multivariate Time Series forecasting which enables to represent time information over a combination of node similarities and node connectivities. The proposed method is tested on coauthorship networks. It is shown that integrating time information with node similarities and node connectivities improves the link prediction performance to a large extent.
A systematic approach to designing distributed real-time systems

The authors describe the use of generalized rate monotonic scheduling (GRMS) theory for the design and analysis of a distributed real-time system. This theory ensures that as long as the system utilization of all tasks lies below a certain bound, and appropriate scheduling algorithms are used, all tasks will meet their deadlines. This puts the development and maintenance of real-time systems on an analytic, engineering basis making, these systems easier to develop and maintain. The authors review the recent extensions of the theory to distributed systems scheduling and examine the architectural requirements for use of the theory. They provide an application example to demonstrate the benefits of this theory. <<ETX>>
A unified treatment of some iterative algorithms in signal processing and image reconstruction

Let T be a (possibly nonlinear) continuous operator on Hilbert space . If, for some starting vector x, the orbit sequence {Tkx,k = 0,1,. } converges, then the limit z is a fixed point of T; that is, Tz = z. An operator N on a Hilbert space is nonexpansive? (ne) if, for each x and y in , Even when N has fixed points the orbit sequence {Nkx} need not converge; consider the example N = ? I, where I denotes the identity operator. However, for any the iterative procedure defined by converges (weakly) to a fixed point of N whenever such points exist. This is the Krasnoselskii? Mann (KM) approach to finding fixed points of ne operators. A wide variety of iterative procedures used in signal processing and image reconstruction and elsewhere are special cases of the KM iterative procedure, for particular choices of the ne operator N. These include the Gerchberg? Papoulis method for bandlimited extrapolation, the SART algorithm of Anderson and Kak, the Landweber and projected Landweber algorithms, simultaneous and sequential methods for solving the convex feasibility problem, the ART and Cimmino methods for solving linear systems of equations, the CQ algorithm for solving the split feasibility problem and Dolidze's procedure for the variational inequality problem for monotone operators.
An under-actuated manipulation controller based on Workspace Analysis and Gaussian Processes

The kinematic modelling has been applied to many controllers of under-actuated manipulators. Most of these studies assume that the control process is conducted within the workspace. However, as such a kinematic model cannot describe the situations when the stable grasping is violated in the real environment, these controllers may fail unexpectedly. In this paper, we propose a combination of kinematics based Workspace Analysis (WA) and Gaussian Process Classification (GPC) to model the success rates of control actions in the theoretical workspace. We also use the Gaussian Process Regression (GPR) to model the residual between the prediction of the WA and the ground truth data. We then apply this integrated model, Gaussian Processes enhanced Workspace Analysis (GP-WA), into an optimal controller. The optimal controller is implemented on a planar under-actuated gripper with two three-phalanx fingers. Two sets of simulation experiments are carried out to validate our method. The results demonstrate that the optimal manipulation controller based on GP-WA achieves high control accuracy for manipulating a wide range of objects.
Novel Regulators of Planar Cell Polarity: A Genetic Analysis in Drosophila

Planar cell polarity (PCP) is a common feature of many epithelia and epithelial organs. Although progress has been made in the dissection of molecular mechanisms regulating PCP, many questions remain. Here we describe a screen to identify novel PCP regulators in Drosophila. We employed mild gain-of-function (GOF) phenotypes of two cytoplasmic Frizzled (Fz)/PCP core components, Diego (Dgo) and Prickle (Pk), and screened these against the DrosDel genome-wide deficiency collection for dominant modifiers. Positive genomic regions were rescreened and narrowed down with smaller overlapping deficiencies from the Exelixis collection and RNAi-mediated knockdown applied to individual genes. This approach isolated new regulators of PCP, which were confirmed with loss-of-function analyses displaying PCP defects in the eye and/or wing. Furthermore, knockdown of a subset was also sensitive to dgo dosage or dominantly modified a dishevelled (dsh) GOF phenotype, supporting a role in Fz/PCP-mediated polarity establishment. Among the new “PCP” genes we identified several kinases, enzymes required for lipid modification, scaffolding proteins, and genes involved in substrate modification and/or degradation. Interestingly, one of them is a member of the Meckel-Gruber syndrome factors, associated with human ciliopathies, suggesting an important role for cell polarity in nonciliated cells.
A prediction model on 3D model compression and its printed quality based on subjective study

3D printing is becoming a more common technology and has a growing number of applications. Although 3D compression algorithms have been studied in the computer graphics (CG) community for decades, the quality of the compressed 3D models are discussed only in the CG space. In this paper, we discuss the relationship between the PSNR of the compressed 3D models and the human perception to the printed objects. We conducted subjective evaluation by inviting 13 people and found that there is a clear linear relationship between them. Such a quality perception model is useful for estimating the printing quality of the compressed 3D models and deciding reasonable compression parameters.
Regulation and physiological roles of the calpain system in muscular disorders

Calpains, a family of Ca2+-dependent cytosolic cysteine proteases, can modulate their substrates' structure and function through limited proteolytic activity. In the human genome, there are 15 calpain genes. The most-studied calpains, referred to as conventional calpains, are ubiquitous. While genetic studies in mice have improved our understanding about the conventional calpains' physiological functions, especially those essential for mammalian life as in embryogenesis, many reports have pointed to overactivated conventional calpains as an exacerbating factor in pathophysiological conditions such as cardiovascular diseases and muscular dystrophies. For treatment of these diseases, calpain inhibitors have always been considered as drug targets. Recent studies have introduced another aspect of calpains that calpain activity is required to protect the heart and skeletal muscle against stress. This review summarizes the functions and regulation of calpains, focusing on the relevance of calpains to cardiovascular disease.
Instantaneous model impedance control for robots

We propose a new method for implementing impedance control, which is designed to take advantage of the error-correction capabilities of position controllers, while maintaining good impedance tracking performance. The proposed instantaneous model impedance control re-initializes the impedance model to the current position of the robot so the model does not accumulate position errors. The novelty of the method is in using the position feedback both in the outer loop, to track the desired impedance, and in the inner loop to improve robustness. The proposed method includes the dynamic-based and the position-based methods as specific cases, and can be tuned to trade between their corresponding merits. Using simulations, we demonstrate the performance of the new method in comparison with the previous methods. We consider two scenarios: stiff environment, which challenges the position based approach, and load uncertainties, which challenges the dynamic based approach.
Total and Dietary Calcium Intake and Colorectal Adenoma in Korean Adults

Background: Colorectal cancer in Korea has become more prevalent over the few last decades, and calcium is considered a preventive factor for colorectal cancer development. We examined the associations between total and dietary calcium intake and the prevalence of colorectal adenoma in Korean adults. Methods: This cross-sectional study included 112 colorectal adenoma cases and 252 adenoma-free non-cases, aged 45 to 71 years, who underwent colonoscopies at the Daegu Catholic University Medical Center from August 2011 to September 2012. Participants were asked about their diet using a validated food frequency questionnaire and about supplement use through interviews. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) to evaluate the association between total and dietary calcium intake and the prevalence of colorectal adenomas using multivariable logistic regression models. Results: Increasing total calcium intake from foods and supplements was significantly associated with a decreased prevalence of colorectal adenoma in women; comparing the highest quartile with the lowest quartile, the OR (95% CI) was 0.35 (0.15–0.85; P for trend = 0.03). Likewise, high dietary calcium intake from foods was associated with a lower prevalence of colorectal adenoma in women; compared with the lowest quartile, the ORs (95% CIs) were 0.32 (0.13–0.82) for the 3rd quartile and 0.44 (0.19–1.03; P for trend = 0.13) for the 4th quartile. However, the association was not clear for either total or dietary calcium intake among men. Conclusions: A higher intake of calcium was associated with a reduction of colorectal adenoma prevalence in Korean women.
Nonparametric volatility density estimation for discrete time models

We consider discrete time models for asset prices with a stationary volatility process. We aim at estimating the multivariate density of this process at a set of consecutive time instants. A Fourier-type deconvolution kernel density estimator based on the logarithm of the squared process is proposed to estimate the volatility density. Expansions of the bias and bounds on the variance are derived.
Improved byte caching techniques

Byte caching (also known as redundancy elimination) is a commonly used technique in practice to compress data streams in data networks. The congestion of a bottleneck link can be significantly reduced when byte caching is implemented in both ends of the link. We propose four techniques to improve the original byte caching method. Two of these techniques offer better fingerprint sampling for caching and the other two offer better management of fingerprints to increase the likelihood of matching. The implementations of these techniques improve the compression ratio of the original byte caching method by 10-20%, which is a significant boost to the efficiency of byte caching methods. Proposed techniques can be implemented with minimal to moderate overhead compared with the original byte caching method.
The Automatic Target- Recognition System in SAIP

■ Lincoln Laboratory has developed a new automatic target recognition (ATR) system that provides significantly improved target-recognition performance compared with ATR systems that use conventional synthetic-aperture radar (SAR) image-processing techniques. We achieve significant improvement in target-recognition performance by using a new superresolution imageprocessing technique that enhances SAR image resolution and image quality prior to performing target recognition. A computationally efficient two-stage template-based classifier is used to perform the target-recognition function. This article quantifies the improvement in target-recognition performance achieved by using superresolution image processing in the new ATR system.
Exploring Cognition Change of Skype Usage

With the exponential growth of the Internet usage, Internet applications are widespread enormously across almost every field, but very few of them actually survive in the market. Among them, the Internet phone service, which has been available since 1995, has fast advanced in terms of offering new value-added services and acquiring an impressive increase in the number of users from all over the world. The main purposes of this study are twofold. First, we investigated why certain products subsist while various substitutes exist in the same field. Second, a qualitative approach was applied to explore the consumer behaviors of Skype Internet phone and compare the schema changes between Skype users and non-skype users during the same period. Concluding from the results of qualitative study, the cognition of Skype usage has quickly changed people in psychological, social, marketing mix and situational influences. In conjunction with the encouraging results, the model of this paper is not only suitable for Internet applications but also can be extended to survey diverse products in different areas.
A comparative performance analysis of position estimation algorithms for GNSS localization in urban areas

Global Navigation Satellite Systems (GNSS) have become an integral part of all applications where mobility plays an important role. However, The performances of GNSS-based positioning systems can be affected in constrained environments (urban and indoor environments), due to masking of satellites by buildings and multipath effects. In this paper, a comparative investigation on classical GNSS localization algorithms in urban areas is presented and analyzed in terms of mean squared error. As a result, Kalman filter estimation shows the best error performance in good environments (all satellites are in direct sight). Nevertheless, in constrained environments, the Kalman filter and least square method show important positioning errors because their measurement noise model is unsuitable.
Temporal changes in beta-tubulin and neurofilament mRNA levels after transection of adult rat retinal ganglion cell axons in the optic nerve

Axons of adult mammalian retinal ganglion cells (RGCs) do not regenerate spontaneously after injury in the optic nerve and show a persistent decrease in the rate of transport of tubulin and neurofilament proteins. To investigate further the expression of cytoskeletal proteins in these axotomized CNS neurons, mRNA levels of beta-tubulin and the 150 kDa neurofilament subunit (NF-M) were measured after interrupting the optic nerve 9 mm from the eye. Northern blots of RNA extracted from whole retinas after optic nerve transection showed that the total level of both of these mRNAs fell after injury. To determine if this decrease was a result of the death of axotomized RGCs or reflected changes in individual neurons, RNA probes were hybridized to radial cryostat sections of normal and axotomized retinas from 1 d to 6 months after injury. Grain counts revealed two trends of tubulin expression in RGCs. An early increase in tubulin mRNAs in the axotomized RGCs was followed by a later decrease. Such an increase in tubulin mRNA levels has been correlated with regenerative growth in other neurons. By 1 week after injury, the beta-tubulin mRNA levels decreased to 70% of the control value. Moreover, the time of this fall coincided with the onset of a marked slowing of cytoskeletal transport that follows injury in the optic nerve. In contrast, NF-M mRNA levels dropped immediately after axotomy, and remained at 80% of the control level. It is suggested that the transient increase in tubulin mRNAs may reflect an early regenerative response whose persistence depends on further growth cone interactions with the substrate.
A Methodology for Assessment Database According to ISO 9126

A methodology for implement, design and test, and an instrument for quality inspection complying with the ISO 9126 standard was developed by the Research Group on Software Engineering, GPES, and TATA Consultancy Services at the Aeronautics Institute of Technology, ITA. GPES is a research group based on ITA. The methodology and the instrument use the Causal Analysis and Resolution, CAR, process area, based on the approach Goal, Question, indicator, and Measures (GQ(i)M). The main contributions were: a) the creation and implementation of indicators, funded on metrics, for a decision process, which are based on the construction of a quality assessment methodology for a software product, in a model of a information system; and b) a prototype of an instrument for quality, which involves the approach GQ(i)M in the definition of quantitative and qualitative metrics, by means of a Microsoft Excel spreadsheet. The methodology represents the sophistication of the Causal Analysis and Resolution technique for gain identification, using database techniques. In this article the methodology was applied to two different case studies.
Performance of Discrete Event Simulation on a Multiprocessor Using Optimistic and Conservative Synchronization

This paper presents an empirical study of the performance of various approaches to distributed discrete event simulation on a message-passing multiprocessor. This study compares the performance of distributed simulation to a sequential simulation of exactly the same system. Four simulation benchmarks are presented. Each is a closed queueing network with a different topology. Four implementations of each benchmark are described — each with a different lookahead. Each benchmark was run under three customer loads. Each benchmark was run using one, two, four, and eight processors. This paper presents data showing the relationships between speedup, number of processors, lookahead, and computation load.
A far-near field transformation using the fast multipole techniques

We are interested in deducing the coupling between an antenna and some surrounding structures via the only knowledge of the antenna far-field measured in an anechoic room. A new approach based on a multipole expansion of the Green's kernel is considered to evaluate the field in the vicinity of the antenna. Some numerical experiments illustrate the efficiency of the multipole techniques compared to the physical optic approach.
Annexin A5 stimulates autophagy and inhibits endocytosis

Macroautophagy is a major lysosomal catabolic process activated particularly under starvation in eukaryotic cells. A new organelle, the autophagosome, engulfs cytoplasmic substrates, which are degraded after fusion with endosomes and/or lysosomes. During a shotgun proteome analysis of purified lysosomal membranes from mouse fibroblasts, a Ca2+-dependent phospholipid-binding protein, annexin A5, was found to increase on lysosomal membranes under starvation. This suggests a role for this protein, an abundant annexin with a still unknown intracellular function, in starvation-induced lysosomal degradation. Transient overexpression and silencing experiments showed that annexin A5 increased lysosomal protein degradation, and colocalisation experiments, based on GFP sensitivity to lysosomal acidic pH, indicated that this was mainly the result of inducing autophagosome–lysosome fusion. Annexin A5 also inhibited the endocytosis of a fluid-phase marker and cholera toxin, but not receptor-mediated endocytosis. Therefore, we propose a double and opposite role of annexin A5 in regulating the endocytic and autophagic pathways and the fusion of autophagosomes with lysosomes and endosomes.
Effect of lossy links on wireless sensor networks

Wireless sensor networks are characterized by multihop wireless lossy links and resource constrained nodes. The aim of this paper is to provide a probability density function that completely characterizes the relationship between location and communication properties using non-parametric statistical techniques. Furthermore, we study individual link properties and their correlation with respect to common transmitters, receivers and geometrical location. The paper also shows the impact of lossy links on maximum achievable throughput and energy utilization. These can modeled as linear programming optimization problems.
m-Valued Quantum Representations and Operations of Elementary Cellular Automata

This paper introduces the m-valued Swap-based quantum computations (QC) of ECA. The fundamental m-valued quantum representations of: (1) m-valued orthonormal computational basis states quantum decision trees (QDTs) and (2) m-valued orthonormal composite basis states QDTs are also introduced as quantum modeling for the representations and operations of the QECA dynamics. The new m-valued quantum representations and their associated operations can play an important role in the automated design of future QECA circuits that consume minimal power in the quantum domain.
SimHAT : Simulated Hardware-based Attestation evaluation Tool

Embedded devices have come to play an important role in our daily lives. Increasingly, diverse fields like healthcare systems, banks and more are using these devices to automate underlying complex tasks. This reliance has led to a significant development – exposure of devices to malicious attacks, including control and subversion of software onboard. Software attestation has been herald as a solution to minimize the effects of malicious attacks on the devices. With low power, relatively small memory size and less processor frequency, standard software attestation techniques cannot be directly applied to embedded devices. To solve this problem, we propose a novel design of simulated hardware-based tool. Our tool can be used to evaluate competing attestation techniques. Furthermore, We present a reference implementation and evaluate the runtime cost of a home-grown attestation procedure.
Surface plasmon resonance imaging reveals multiple binding modes of Agrobacterium transformation mediator VirE2 to ssDNA

VirE2 is the major secreted protein of Agrobacterium tumefaciens in its genetic transformation of plant hosts. It is co-expressed with a small acidic chaperone VirE1, which prevents VirE2 oligomerization. After secretion into the host cell, VirE2 serves functions similar to a viral capsid in protecting the single-stranded transferred DNA en route to the nucleus. Binding of VirE2 to ssDNA is strongly cooperative and depends moreover on protein–protein interactions. In order to isolate the protein–DNA interactions, imaging surface plasmon resonance (SPRi) studies were conducted using surface-immobilized DNA substrates of length comparable to the protein-binding footprint. Binding curves revealed an important influence of substrate rigidity with a notable preference for poly-T sequences and absence of binding to both poly-A and double-stranded DNA fragments. Dissociation at high salt concentration confirmed the electrostatic nature of the interaction. VirE1–VirE2 heterodimers also bound to ssDNA, though by a different mechanism that was insensitive to high salt. Neither VirE2 nor VirE1–VirE2 followed the Langmuir isotherm expected for reversible monomeric binding. The differences reflect the cooperative self-interactions of VirE2 that are suppressed by VirE1.