Miracle-dz/UniFAR-FTUs huggingface dataset:
Wireless Sensor Network InterConnection Design Based on IPv6 Protocol

Application driven Wireless Sensor Network (WSN) has a great prospect, interconnecting WSN to current network infrastructure is the research hotspot. An interconnection method is proposed, which connected large-scale WSN to Internet based on IPv6. To satisfy application requirements, IPv6 address is mapped based on geography location in WSN, and a geography location routing protocol named as Clockwise Grid Routing Protocol (CGRP) is proposed. Simulation results show that CGRP was stable and has a high transmission success rate of routing packet. At last, we described a communication mechanism that used the access gateway to communicate between WSN and Internet. It can not only make WSN addressable by IPv6, but also reduce the high routing overhead, which satisfy the requirements of WSN.
Robust Audio Identification for Commercial Applications

Along with investigating similarity metrics between audio material, the topic of robust matching of pairs of audio content has gained wide interest recently. In particular, if this matching process is carried out using a compact representation of the audio content ("audio fingerprint"), it is possible to identify unknown audio material by means of matching it to a database with the fingerprints of registered works. This paper presents a system for reliable, fast and robust identification of audio material which can be run on the resources provided by today's standard computing platforms. The system is based on a general pattern recognition paradigm and exploits low level signal features standardized within the MPEG-7 framework, thus enabling interoperability on a world-wide scale. Compared to similar systems, particular attention is given to issues of robustness with respect to common signal distortions, i.e. recognition performance for processed/modified audio signals. The system's current performance figures are benchmarked for a range of real-world signal distortions, including low bitrate coding and transmission over an acoustic channel. A number of interesting applications are discussed.
FLOSSmole: A Collaborative Repository for FLOSS Research Data and Analyses

This article introduces and expands on previous work on a collaborative project, called FLOSSmole (formerly OSSmole), designed to gather, share, and store comparable data and analyses of free, libre, and open source software (FLOSS) development for academic research. The project draws on the ongoing collection and analysis efforts of many research groups, reducing duplication, and promoting compatibility both across sources of FLOSS data and across research groups and analyses. The article outlines current difficulties with the current typical quantitative FLOSS research process and uses these to develop requirements and presents the design of the system.
Modern pig nutrition for performance: minerals, metabolism and the environment.

This article reviews the current dietary recommendations for several important minerals, like magnesium, selenium, nitrogen, phosphorus, copper and zinc, their role in the pig industry, particularly on pig performance and pork quality and some of the options (use of feed additives and enzymes) that are available to reduce their harmful effects on the environment, without compromising the performance of the animal.
RecA-mediated strand invasion of DNA by oligonucleotides substituted with 2-aminoadenine and 2-thiothymine

Sequence-specific recognition of DNA is a critical step in gene targeting. Here we describe unique oligonucleotide (ON) hybrids that can stably pair to both strands of a linear DNA target in a RecA-dependent reaction with ATP or ATPγS. One strand of the hybrids is a 30-mer DNA ON that contains a 15-nt-long A/T-rich central core. The core sequence, which is substituted with 2-aminoadenine and 2-thiothymine, is weakly hybridized to complementary locked nucleic acid or 2′-OMe RNA ONs that are also substituted with the same base analogs. Robust targeting reactions took place in the presence of ATPγS and generated metastable double D-loop joints. Since the hybrids had pseudocomplementary character, the component ONs hybridized less strongly to each other than to complementary target DNA sequences composed of regular bases. This difference in pairing strength promoted the formation of joints capable of accommodating a single mismatch. If similar joints can form in vivo, virtually any A/T-rich site in genomic DNA could be selectively targeted. By designing the constructs so that the DNA ON is mismatched to its complementary sequence in DNA, joint formation might allow the ON to function as a template for targeted point mutation and gene correction.
Synthetic Modeling Method for Large Scale Terrain Based on Hydrology

Generating large scale terrains that conform to the morphology of real scenes is a great challenge for terrain modeling, as simulating complex geometric details is time-consuming and the realistic geographical features are hard to be controlled. In this paper, we propose an efficient modeling method for large scale terrain visualization based on hydrology. To simulate real geographic features, we introduce the hydrology-based Tokunaga river network to guide the terrain generation, and propose a production rule set of river network using procedural modeling. The distribution and structure of river network can be adjusted by user interactions. Ridges are extracted based on river network to provide more skeleton features, and the enrichment method of skeleton features is presented to maintain the morphology of valleys and ridges. Based on the enriched features, diffusion equation is exploited to compute the full elevation field, which can achieve the nature transitions of the regions between skeleton features. Large scale terrain with real morphological features can be generated online through the parallel implementation of diffusion equation. According to user requirements, the augmented virtual terrain can be obtained by blending the selected real terrain with the synthesis terrain seamlessly. The experiments are conducted on digital elevation model, and the results show that the proposed methods can generate large scale terrains that conform to the morphology of real terrain and can well simulate various natural scenes.
Versatile Mixed Reality Educational Spaces - A Medical Education Implementation Case

Education has tapped into gaming to increase engagement and facilitate knowledge retention through experiential modalities. There have been several high technological intensity digital laboratories where learners are engaged with the subject matter through various activities. There are also several low intensity web based solutions that familiarize learners with curriculum material but in less experientially intensive manners. A ubiquitous approach to highly impactful, low cost, high reusability gamified educational approach is a versatile mixed reality educational environment. Using prolific technologies such as inexpensive AR headsets and a versatile low maintenance Database(DB) back ends, a real world environment can be transformed with 3d graphics and audio to various educational spaces of highly impactful content. Such a simple implementation is presented here for virtual patients in medicine. A simple DB backend supports a presentation frontend developed in Unity, utilizing the "vuforia" mixed reality platform. Based on this implementation future directions are explored.
A fast Bayesian model for latent radio signal prediction

This paper considers the use of a recently developed Bayesian statistical approximation technique that leads to very fast determination of highly accurate estimates for latent radio signal power. Following suitable data analysis, a first order non-stationary auto-regressive process is considered for latent radio signal and the fast approximation technique is then used to provide accurate estimates of the hidden model parameters. These estimates are based on having received several noisy, but spatially correlated, observations of the true latent signal. The implication of this technique for real time decision analysis and the problem of finding, and making use of, so-called radio spectrum holes is also discussed.
Sequest: A sequential procedure for estimating steady-state quantiles

Sequest is a fully sequential procedure that delivers improved point and confidence-interval (CI) estimators for a designated steady-state quantile by exploiting a combination of ideas from batching and sectioning. Sequest incorporates effective methods to do the following: (a) eliminate bias in the sectioning-based point estimator that is caused by initialization of the simulation or an inadequate simulation run length (sample size); and (b) adjust the CI half-length for the effects of skewness or correlation in the batching-based point estimators of the designated quantile. Sequest delivers a CI designed to satisfy user-specified requirements concerning both the CI's coverage probability and its absolute or relative precision. We found that Sequest exhibited good small- and large-sample properties in a preliminary evaluation of the procedure's performance on a suite of test problems that includes some problems designed to “stress test” the procedure.
Prohibitin Viral Gene Transfer Protects Hippocampal CA1 Neurons From Ischemia and Ameliorates Postischemic Hippocampal Dysfunction

Background and Purpose— Prohibitin is a multi-functional protein involved in numerous cellular activities. Prohibitin overexpression protects neurons from injury in vitro, but it is unclear whether prohibitin can protect selectively vulnerable hippocampal CA1 neurons in a clinically relevant injury model in vivo and, if so, whether the salvaged neurons remain functional. Methods— A mouse model of transient forebrain ischemia that mimics the brain damage produced by cardiac arrest in humans was used to test whether prohibitin expression protects CA1 neurons from injury. Prohibitin-expressing viral vector was microinjected in mouse hippocampus to upregulate prohibitin. Results— Prohibitin overexpression protected CA1 neurons from transient forebrain ischemia. The protection was associated with dampened postischemic reactive oxygen species generation, reduced mitochondrial cytochrome c release, and decreased caspase-3 activation. Importantly, the improvement in CA1 neuronal viability translated into an improvement in hippocampal function: prohibitin expression ameliorated the spatial memory deficit induced by ischemia, assessed by the Y-maze test, and restored postischemic synaptic plasticity assessed by long-term potentiation, indicating that the neurons spared form ischemic damage were functionally competent. Conclusions— These data demonstrate that prohibitin overexpression protects highly vulnerable CA1 neurons from ischemic injury in vivo and suggest that the effect is mediated by reduction of postischemic reactive oxygen species generation and preservation of mitochondrial outer membrane integrity that prevents activation of apoptosis. Measures to enhance prohibitin expression could have translational value in ischemic brain injury and, possibly, other forms of brain injury associated with mitochondrial dysfunction.
Architectural styles for early goal-driven middleware platform selection

The selection of a suitable middleware platform is a critical task in developing modern software systems. It is critical to fulfil the system's quality requirements, e. g. availability. A systematic selection should be done as early as possible within a development project, i. e. on the architectural level. Up to now no adequate method for selecting a middleware product exists, thus often ad-hoc decisions are made. As a solution to this problem, this dissertation proposes the MidArch Method based on a pre-study of usages of architectural styles. The method is based on modelling middleware platforms by middlewareoriented architectural styles, evaluating candidate architectures that conform to these styles, as well as mapping these evaluations to the platform level. Two case studies using industial systems are presented. Furthermore, the thesis contains contributions in the areas of software architecture foundations and the definition of architectural styles and patterns.
Bigram constrained Linear Chain Conditional Random Fields

It is known that Linear Chain Conditional Random Fields have quadratic time and space complexity in terms of the output tags set cardinality. This fact poses a prohibitive performance penalty when the tag set is large, such as in language applications where the language has a rich set of morphosyntactic tags. However, knowledge of the allowed tag bigramcombinations can lead to significant speedup and memory savings, often by several orders of magnitude, for both training and inference. This theoretical exposition presents how to exploit this knowledge by introducing steps and data structures to the ordinary Linear Chain Conditional Random Field implementation in order to achieve these savings.
A serum- and feeder-free technique of culturing human corneal epithelial stem cells on amniotic membrane

Purpose To describe a simple technique of cultivating human corneal epithelial stem cells using an Epilife® culture medium under serum- and feeder-free conditions. Methods Cadaveric donor limbal corneal epithelial cells were cultured on denuded amniotic membranes using an explant technique that was free of serum and feeder cells in the Epilife® medium containing a growth supplement of defined composition. These cells were assessed by phase contrast microscope. The expressions of the proposed corneal epithelial stem cell markers (p63, ATP-binding cassette member 2 (ABCG2), and cytokeratin 15 and 19) and differentiation markers (cytokeratin 3, 12, connexin 43, and p75) were analyzed using reverse transcription polymerase chain reaction (RT-PCR) and immunocytochemical staining. Results Successful cultures were obtained, resulting in a monolayer to double layer cell sheets with a cobblestone-like morphology. RT-PCR and immunocytochemistry disclosed an expression of both putative limbal stem cell (LSC) markers and differentiation-associated markers in the cultured cells. Most of the cultured corneal epithelial cells that were immunopositive for putative LSC markers were smaller, more uniform, and closer to the limbal explant than cells positively stained with differentiation-associated markers. Conclusions A serum- and feeder-free culture system using Epilife® medium may grow human corneal epithelial equivalents, minimizing the risk of contamination during culture. The technique may also be useful for the clinical application of limbal stem cell culture.
An Efficient Privacy Preserving Keyword Search Scheme in Cloud Computing

A user stores his personal files in a cloud, and retrieves them wherever and whenever he wants. For the sake of protecting the user data privacy and the user queries privacy, a user should store his personal files in an encrypted form in a cloud, and then sends queries in the form of encrypted keywords. However, a simple encryption scheme may not work well when a user wants to retrieve only files containing certain keywords using a thin client. First, the user needs to encrypt and decrypt files frequently, which depletes too much CPU capability and memory power of the client. Second, the service provider couldn't determine which files contain keywords specified by a user if the encryption is not searchable. Therefore, it can only return back all the encrypted files. A thin client generally has limited bandwidth, CPU and memory, and this may not be a feasible solution under the circumstances. In this paper, we investigate the characteristics of cloud computing and propose an efficient privacy preserving keyword search scheme in cloud computing. It allows a service provider to participate in partial decipherment to reduce a client's computational overhead, and enables the service provider to search the keywords on encrypted files to protect the user data privacy and the user queries privacy efficiently. By proof, our scheme is semantically secure.
On Multi-Objective Optimization Aided Visualization of Graphs Related to Business Process Diagrams

A problem of the drawing of aesthetically looking graphs, related to business process diagrams, is considered. We model a situation where sites of flow objects of the diagram are fixed, and the sequence flow is defined. The edges of a graph, which represent the sequence flow, should be drawn aiming at an aesthetical image. The latter problem is reformulated as a multi-objective combinatorial optimization problem. The generally recognized criteria of aesthetical presentation, such as general length of lines, number of crossings, and number of bends, are considered the objectives to be minimized. Two algorithms are developed for the stated problem taking into account its specifics. The efficiency of the developed algorithms is evaluated experimentally using randomized test problems of different
Was your mother right--do we always need to close the door?

Stroke remains one of the most feared and devastating complications for patients to envisage. This remains true regardless of the age of the patient and the presence or absence of comorbidities, but it may be relatively more important the younger the patient is. Establishing the pathogenesis of stroke is fundamentally important for attempts at prevention. In some patients, the diagnosis of the underlying cause is relatively straightforward—eg, the presence of a high-grade, ulcerated lesion in the carotid artery in the distribution of the central nervous system symptoms or neurological deficit. In other cases, it may be considerably more difficult; then, the question of a cardiac source is often raised. See p 1121 Echocardiography has become an integral part of the evaluation in many such patients. Early in the history of this field, attention was focused on the left atrial appendage as a putative source. In addition, however, abnormalities of the atrial septum were documented and have since come to occupy an important position. These abnormalities were further characterized after the introduction of contrast studies and transesophageal echocardiography, which helped in the documentation of patent foramen ovale (PFO), atrial septal aneurysm (ASA), and right-to-left shunt. In such patients, emboli potentially could pass from the venous to the systemic arterial circulation.1,2⇓ It must be remembered that there may be other mechanisms, including thrombus forming in the ASA or thrombus from supraventricular arrhythmias. In a recent meta-analysis,3 there were 2738 references of case-control studies that identified the keywords PFO, ASA, or right-to-left shunt. In this meta-analysis, combined odds ratios were calculated with the use of both fixed and random-effect methods. There are several important issues that can be addressed, including: (1) the frequency of each of these conditions in control populations versus patients with cryptogenic stroke or stroke of known …
GeneGeneInteR vignette Statistical analysis of the interaction between a pair of genes

Let consider a sample of n individuals with nc controls and nd cases (nc+nd = n) and Y = [y1, . , yn] ′ the vector of the observed binary phenotypes. Each gene is a collection of respectively m1 and m2 SNPs. The observed genotypes for gene X1 can be represented by a n×m1 matrix: X1 = [xij ]i∈1.n;j∈1.m1 where xij ∈ {0; 1; 2} is the number of copies of the minor allele for SNP j carried by individual i. A similar representation is used for gene X2 where X2 is a n×m2 matrix. Let us further introduce X1 and X2 the matrices of observed genotypes among controls for gene 1 and 2 and X1 and X d 2 among cases for both genes. Thus X c 1 is a nc ×m1 matrix, X1 a nd ×m1 matrix, X2 a nc ×m2 matrix and X2 a nd ×m2 matrix. A general setup of the observed values can be presented as follows:
The multicluster architecture: reducing cycle time through partitioning

The multicluster architecture that we introduce offers a decentralized, dynamically scheduled architecture, in which the register files, dispatch queue, and functional units of the architecture are distributed across multiple clusters, and each cluster is assigned a subset of the architectural registers. The motivation for the multicluster architecture is to reduce the clock cycle time, relative to a single-cluster architecture with the same number of hardware resources, by reducing the size and complexity of components on critical timing paths. Resource partitioning, however, introduces instruction-execution overhead and may reduce the number of concurrently executing instructions. To counter these two negative by-products of partitioning, we developed a static instruction scheduling algorithm. We describe this algorithm, and using trace-driven simulations of SPEC92 benchmarks, evaluate its effectiveness. This evaluation indicates that for the configurations considered the multicluster architecture may have significant performance advantages at feature sizes below 0.35 /spl mu/m, and warrants further investigation.
Determination of nonlinear parameters of flexible pavement layers from nondestructive testing

16. Abstract Nondestructive testing (ND1) methods are typically used to measure the variations in the modulus of different pavement layers. Critical strains necessary for the estimation of the remaining life of a pavement system are then determined from the estimated moduli. The Falling Weight Deflectometer (FWD) and the Seismic Pavement Analyzer (SPA) are two of the NDT devices used for this purpose. The major objective of this study is to develop an algorithm for predicting the design modulus of each layer given the seismic modulus and the nonlinear parameters of each pavement layer. The feasibility of backcalculating the nonlinear parameters of the base and subgrade given the seismic modulus of each layer and the deflection basin measured at the same location are investigated in this document. An algorithm has been developed for this purpose. In the algorithm, a material model that relates the design modulus with seismic modulus was selected. A so-called equivalent linear structural model was also adopted. An optimization algorithm was developed to derive the nonlinear parameters of pavement materials from the FWD deflections and the seismic moduli.
LARGE-SCALE COMPUTATIONS OF EFFECTIVE ELASTIC PROPERTIES OF RUBBER WITH CARBON BLACK FILLERS

A general method, based on a multiscale approach, is proposed to derive the effective elastic shear modulus of a rubber with 14% carbon black fillers from finite element and fast Fourier transform methods. The complex multiscale microstructure of such material was generated numerically from a mathematical model of its morphology that was identified from statistical moments out of transmission electron microscopy images. For finite element computations, the simulated microstructures were meshed from three-dimensional reconstruction of the isosurface using the marching cubes algorithm with special attention to the quality of the topology and the geometry of the mesh. To compute the shear modulus and to determine the representative volume element, homogeneous boundary conditions were prescribed on meshes and combined with a domain decomposition method. Regarding parallel computing, specific difficulties related to the highly heterogeneous microstructures and complex geometry are pointed out. The experimental shear modulus (1.8 MPa) obtained from dynamic mechanical analysis was estimated by the Hashin-Shtrikman lower bound ( 1.4 MPa) and the computations on simulated microstructures ( 2.4 MPa). The shear modulus was determined for two materials with the same volume fraction but different distribution of fillers. The current model of microstructures is capable of estimating the relative effect of the mixing time in processing associated with change in morphology on the elastic behavior. The computations also provide the local fields of stress/strain in the elastomeric matrix.