Miracle-dz/UniFAR-FTUs huggingface dataset:
A comparison between Genetic Algorithm and PSO for linear phase FIR digital filter design

A comparative study between genetic algorithm and particle swarm optimization in FIR filter design is presented in this paper. FIR filter design involves multi-parameter optimization, on which the existing optimization algorithms donpsilat work efficiently. Given the filter specification to be designed, both algorithms generate a set of filter coefficients and try to meet the ideal frequency characteristic. For the problem at hand, the simulation of designing FIR filters have been done and the simulation results demonstrate that PSO is better than GA, not only in the convergence speed but also in the performance of the filter.
Involvement of Hic-5 , a Focal Adhesion Protein , in the Differentiation of C 2 C 12 Myoblasts

Hic-5, a focal adhesion protein, has been implicated in cellular senescence and differentiation. In this study, we examined its involvement in myogenic differentiation. The hic-5 expression level in growing C2C12 myoblasts increased slightly on the first day and then gradually decreased until no hic-5 was detectable after 7 days of differentiation. In vivo, its expression level declined in the thigh and the calf skeletal muscle of mouse embryos after birth. The introduction of an antisense expression vector of hic-5 into C2C12 cells decreased the number of clones expressing the myosin heavy chain (MHC) upon exposure to the differentiation medium. In the cloned cells with low levels of hic-5, the efficiency of myotube formation was significantly reduced. The expression levels of MyoD, myogenin, MHC and p21 were also reduced in these clones. The results suggested that hic-5 plays a role in the initial stage of myogenic differentiation.
Distributed Space-Time Coded Transmission Achieving Full Cooperative and Multipath Diversities for Asynchronous Cooperative Communications

In most cooperative communications works, perfect synchronization among relay nodes is assumed in order to achieve cooperative diversity. However, this assumption is not realistic due to the distributed nature of each relay node. In this paper, we propose a new distributed space-time coded transmission (DSTCT) scheme for asynchronous cooperative communications under frequency-selective channels. First, a novel transmission protocol, in which each relay is labelled in delay-ascending order, is proposed. Second, the pairwise error probability and the design criterion of DSTCT are derived. Finally, based on the proposed transmission protocol and the design criterion, a new DSTCT scheme for asynchronous cooperative communications is proposed. Theoretical analysis and simulation results show that this scheme can achieve both full cooperative diversity and full multipath diversity.
Towards Executing ebBP-Reg B2Bi Choreographies

Applying choreography and orchestration technology to Business-to-Business integration (B2Bi) scenarios has become a popular technique for very good reasons. Choreography descriptions can be used to capture B2Biscenarios from a global and abstract perspective while orchestrations then can be used to specify the local implementation of each integration partner. ebXML BPSS(ebBP) is a prominent B2Bi choreography standard with very helpful domain-specific concepts, but clear guidelines for creating executable choreographies are missing. In order to create ebBP models that are both adequateand executable, expressiveness, comprehensibility and standard-conformance have to be weighed up. In this paper, we introduce ebBP-Reg as an ebBP modeling flavor that is designed such that ebBP-Reg choreographies are executable as WS-BPEL orchestrations. At the same time, ebBP-Reg models strictly conform to the ebBP standard and support concurrency and decomposition. We characterize syntactic validity of ebBP-Reg models by means of language production rules and show how instances of ebBP-Reg can be implemented using WS-BPEL.
A Survey of Naming Systems : Classification and Analysis of the Current Schemes Using a New Naming Reference Model

The Internet has evolved immensely since its inception to being a network of academic and government institutions to its present magnanimous commercial avatar. It is currently deemed to be the single largest resource for information and services. From the times it was managed by central authorities, first by DARPA and then by NSF, the present internet has matured to become a commercially driven, distributed structure with minimal centralized control. The availability of large-scale distributed heterogeneous networks and multiple services makes it important to identify all the computing and non-computing entities and the different services that are a part of it. So when it comes to considering the design for the next generation internet, the naming problem becomes an important issue. In this paper, we try to present a comprehensive, systematic and objective discussion on the naming problem. We present a three-dimensional model of naming to outline some of the major research contributions in this area. The model includes three planes: management plane, transport plane and control plane. We classify all the current naming schemes into these three planes according to the difference in focus of the schemes. A detailed analysis and comparison of these schemes is given according to the three-plane classification model. We try to provide a wholesome discussion on every aspect and dimension of the naming problem and try to make our discussion objective through evaluations, comparisons and evolutionary walkthroughs, wherever relevant. The objective of this study is to gain better understanding of past naming systems to allow designing future naming and addressing schemes for the Next Generation Internet.
A direct measurement technique for small geometry MOS transistor capacitances

Accurate representation of MOS transistor capacitances is important for accurate circuit simulation. Due to the difficulties of direct measurement with meters, MOS intrinsic capacitances have not been studied extensively. Although several "on-chip" methods have been developed, the need for measurement circuits fabricated alongside the devices of interest seems to be impractical for statistical data generation. In addition, the characterization of both current-voltage (I-V) and capacitance-voltage (CV) relationships is not as convenient by using the "on-chip" configurations. Consequently, the direct measurement technique is more desirable than the "on-chip" methods. A direct measurement technique for the intrinsic gate capacitances in a small geometry MOS transistor has been developed and is presented in this letter. By using this method, n-channel transistors withW_{eff}/L_{eff}of, 11/11, 11/2.2, and 11/1.65 µm have been measured. The difference between the long- and short-channel devices can be clearly observed in the measured curves. The results show that the small MOSFET intrinsic capacitances can be accurately determined using off the self meters, and the use of "on-chip" circuitry is unnecessary.
Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model

In this paper, we focus on information diffusion through social networks. Based on the well-known Independent Cascade model, we embed users of the social network in a latent space to extract more robust diffusion probabilities than those defined by classical graphical learning approaches. Better generalization abilities provided by the use of such a projection space allows our approach to present good performances on various real-world datasets, for both diffusion prediction and influence relationships inference tasks. Additionally, the use of a projection space enables our model to deal with larger social networks.
Physical appearance anxiety impedes the therapeutic effects of video feedback in high socially anxious individuals.

BACKGROUND Video feedback (VF) interventions effectively reduce social anxiety symptoms and negative self-perception, particularly when they are preceded by cognitive preparation (CP) and followed by cognitive review. AIMS In the current study, we re-examined data from a study on the efficacy of a novel VF intervention for individuals high in social anxiety to test the hypothesis that physical appearance anxiety would moderate the effects of VF. METHOD Data were analyzed from 68 socially anxious participants who performed an initial public speech, and were randomly assigned to an Elaborated VF condition (VF plus cognitive preparation and cognitive review), a Standard VF condition (VF plus cognitive preparation) or a No VF condition (exposure alone), and then performed a second speech. RESULTS As hypothesized, when appearance concerns were low, both participants who received Elaborated and Standard VF were significantly less anxious during speech 2 than those in the No VF condition. However, when levels of appearance concern were high, neither Elaborated nor Standard VF reduced anxiety levels during speech 2 beyond the No VF condition. CONCLUSIONS Results from our analog sample suggest the importance of tailoring treatment protocols to accommodate the idiosyncratic concerns of socially anxious patients.
SPARSE MIMO OFDM CHANNEL ESTIMATION AND PAPR REDUCTION USING GENERALIZED INVERSE TECHNIQUE

MIMO-OFDM systems provide high spectral efficiency for wireless communication systems. However, they have a major drawback of high PAPR which results in inefficient use of a power amplifier and also improper detections. Now a days, in wireless communication systems, channel estimation is mandatory for higher data rates with low bit error rates. For reducing burden on system the channel estimation results are exploited to reduce the high PAPR by using the technique called SVD based Generalized Inverse. From the results we can say that Sparse MIMO OFDM Channel Estimation Using Spatial and Temporal Correlations is the best for channel estimation.
Specification and implementation of resilient, atomic data types

A major issue in many applications is how to preserve the consistency of data in the presence of concurrency and hardware failures. We suggest addressing this problem by implementing applications in terms of abstract data types with two properties: Their objects are atomic (they provide serializability and recoverability for activities using them) and resilient (they survive hardware failures with acceptably high probability). We define what it means for abstract data types to be atomic and resilient. We also discuss issues that arise in implementing such types, and describe a particular linguistic mechanism provided in the Argus programming language.
Dynamic State Estimation under Cyber Attacks: A Comparative Study of Kalman Filters and Observers

Utilizing highly synchronized measurements from synchrophasors, dynamic state estimation (DSE) can be applied for real-time monitoring of smart grids. Concurrent DSE studies for power systems are intolerant to unknown inputs and potential attack vectors --- a research gap we will fill in this work. Particularly, we (a) present an overview of concurrent estimation techniques, highlighting key deficiencies, (b) develop DSE methods based on cubature Kalman filter and dynamic observers, (c) rigorously examine the strengths and weaknesses of the proposed methods under attack-vectors and unknown inputs, and (d) provide comprehensive recommendations for DSE. Numerical results and in-depth remarks are also presented.
PK-sensitive PrPSc Is Infectious and Shares Basic Structural Features with PK-resistant PrPSc

One of the main characteristics of the transmissible isoform of the prion protein (PrPSc) is its partial resistance to proteinase K (PK) digestion. Diagnosis of prion disease typically relies upon immunodetection of PK-digested PrPSc following Western blot or ELISA. More recently, researchers determined that there is a sizeable fraction of PrPSc that is sensitive to PK hydrolysis (sPrPSc). Our group has previously reported a method to isolate this fraction by centrifugation and showed that it has protein misfolding cyclic amplification (PMCA) converting activity. We compared the infectivity of the sPrPSc versus the PK-resistant (rPrPSc) fractions of PrPSc and analyzed the biochemical characteristics of these fractions under conditions of limited proteolysis. Our results show that sPrPSc and rPrPSc fractions have comparable degrees of infectivity and that although they contain different sized multimers, these multimers share similar structural properties. Furthermore, the PK-sensitive fractions of two hamster strains, 263K and Drowsy (Dy), showed strain-dependent differences in the ratios of the sPrPSc to the rPrPSc forms of PrPSc. Although the sPrPSc and rPrPSc fractions have different resistance to PK-digestion, and have previously been shown to sediment differently, and have a different distribution of multimers, they share a common structure and phenotype.
Privacy Protected Query Processing with Road Network Embedding

Location-based applications are becoming increasingly popular due to the wide spread of global positioning devices. One major concern in location-based applications is how to protect user privacy. A typical solution consists of three tiers: mobile users, trusted anonymizer, and service provider. The trusted anonymizer first needs to cloak the queries received from mobile users, then sends the cloaked queries to the service provider. The service provider then answers the cloaked query, which is a challenge if the underlying environment is a road network. In this paper, we propose to use Road Network Embedding (RNE) to answer cloaked queries in a road network environment. We first give an algorithm to answer k-nearest neighbor queries, then extend the algorithm to answer range queries and queries over private objects. Extensive simulation studies are preformed to show the effectiveness of the proposed technique.
Dynamic Decision Method Based on Contextual Selection of Representation Subspaces

This paper presents a dynamical decision method derived from ensemble decision method. It is designed to be robust with respect to abrupt change of sensor response. Abrupt change may be caused by impulsive noise, sensor degradation or transmission fault in the case of an autonomous sensor network. It can also be caused by inconsistency of sensor responses due to local or sudden break of one monitored system property. The main idea is to divide the decision into several partial decisions and then to aggregate these to get the final one. The adaptation is the result of the aggregation process which aims at selecting and summarizing the partial decisions which are based on coherent information according to learnt models. The suggested method is presented. Experiments on a two-class image segmentation problem are performed and analyzed. The results assessed that the suggested method is more robust when an abrupt change occurs and is able to select efficiently the partial decision makers. This approach opens a wide field of applications and results are very encouraging.
Alleviating Merge Conflicts with Fine-grained Visual Awareness

Merge conflicts created by software team members working on the same code can be costly to resolve, and adversely affect productivity. In this work, we suggest the approach of fine-grained merge conflict awareness, where software team members are notified of potential merge conflicts via graphical decoration of the relevant semantic elements, in near real-time. The novelty of this approach is that it allows software developers to pinpoint the element in conflict, such as a method's body, parameter, return value, and so on, promoting communication about conflicting changes soon after they take place and on a semantic level. We have also conducted a preliminary qualitative evaluation of our approach, the results of which we report in this paper.
THE EVOLUTION OF DIOECY, HETERODICHOGAMY, AND LABILE SEX EXPRESSION IN ACER

Abstract The northern hemisphere tree genus Acer comprises 124 species, most of them monoecious, but 13 dioecious. The monoecious species flower dichogamously, duodichogamously (male, female, male), or in some species heterodichogamously (two morphs that each produce male and female flowers but at reciprocal times). Dioecious species cannot engage in these temporal strategies. Using a phylogeny for 66 species and subspecies obtained from 6600 nucleotides of chloroplast introns, spacers, and a protein-coding gene, we address the hypothesis (Pannell and Verdú, Evolution 60: 660–673. 2006) that dioecy evolved from heterodichogamy. This hypothesis was based on phylogenetic analyses (Gleiser and Verdú, New Phytol. 165: 633–640. 2005) that included 29–39 species of Acer coded for five sexual strategies (duodichogamous monoecy, heterodichogamous androdioecy, heterodichogamous trioecy, dichogamous subdioecy, and dioecy) treated as ordered states or as a single continuous variable. When reviewing the basis for these scorings, we found errors that together with the small taxon sample, cast doubt on the earlier inferences. Based on published studies, we coded 56 species of Acer for four sexual strategies, dioecy, monoecy with dichogamous or duodichogamous flowering, monoecy with heterodichogamous flowering, or labile sex expression, in which individuals reverse their sex allocation depending on environment–phenotype interactions. Using Bayesian character mapping, we infer an average of 15 transformations, a third of them involving changes from monoecy-cum-duodichogamy to dioecy; less frequent were changes from this strategy to heterodichogamy; dioecy rarely reverts to other sexual systems. Contra the earlier inferences, we found no switches between heterodichogamy and dioecy. Unexpectedly, most of the species with labile sex expression are grouped together, suggesting that phenotypic plasticity in Acer may be a heritable sexual strategy. Because of the complex flowering phenologies, however, a concern remains that monoecy in Acer might not always be distinguishable from labile sex expression, which needs to be addressed by long-term monitoring of monoecious trees. The 13 dioecious species occur in phylogenetically disparate clades that date back to the Late Eocene and Oligocene, judging from a fossil-calibrated relaxed molecular clock.
An empirical study of supervised learning for biological sequence profiling and microarray expression data analysis

Recent years have seen increasing quantities of high-throughput biological data available for genetic disease profiling, protein structure and function prediction, and new drug and therapy discovery. High-throughput biological experiments output high volume and/or high dimensional data, which impose significant challenges for molecular biologists and domain experts to properly and rapidly digest and interpret the data. In this paper, we provide simple background knowledge for computer scientists to understand how supervised learning tools can be used to solve biological challenges, with a primary focus on two types of problems: Biological sequence profiling and microarray expression data analysis. We employ a set of supervised learning methods to analyze four types of biological data: (1) gene promoter site prediction; (2) splice junction prediction; (3) protein structure prediction; and (4) gene expression data analysis. We argue that although existing studies favor one or two learning methods (such as Support Vector Machines), such conclusions might have been biased, mainly because of the inadequacy of the measures employed in their study. A line of learning algorithms should be considered in different scenarios, depending on the objective and the requirement of the applications, such as the system running time or the prediction accuracy on the minority class examples.
Non-Rigid Motion Estimation and Spatio-Temporal Realignment in FMRI

Existing approaches to the problem of subject motion artefacts in FMRI data have applied rigid-body registration techniques to what is a non-rigid problem. We propose a model which can account for the non-linear characteristics of movement effects, known to result from the acquisition methods used to form these images. The model also facilitates the proper application of temporal corrections which are needed to compensate for acquisition delays. Results of an implementation based on this model reveal that it is possible to correct for these effects, leading to accurate re-alignment and timing correction.
Image registration of follow-up examinations in digital dermoscopy

Automated assessment tools for dermoscopy images play an important assistive role mainly due to inter- and intra-observer variations in human interpretation. Prior to classification, a robust registration module is necessary. In this paper we propose a fully automatic method for successful registration (matching) of melanocytic nevi images acquired from digital dermoscope to ensure reliable quantitative comparison of the image later. A modified SIFT algorithm (called ROI-SIFT), followed by RANSAC to identify outliers, is used to localize and match correspondence interest points, that will be used to compute affine transformations for the registration of a dermatological image with the respective follow-up examination image. Experimental evaluations of the registration method are reported for image pairs acquired during follow-up examinations. Finally, a short discussion of scheduled future work is proposed.
Surface plasmon immunoassay.

The most sensitive existing assays used to determine antibody levels in blood serum samples require a tracer material, e.g., radioisotope, fluorofore, or enzyme, to identify the specific analyte. Surface plasmon spectroscopy has been applied recently as a no-label technique for the assay of specific antibody solutions with the antigen proteins immobilized on a metal surface. It is found that the metal surface configuration originally proposed for the surface plasmon immunoassay (SPI) is unstable and unsuitable for the assay of specific antibodies in a large mixture of proteins such as in a blood serum. Nevertheless, by properly designing the metal surface structure, the SPI can be made an extremely practical device. Preliminary results for the assay of dinitrophenyl (DNP) and keyhole limpet hemocyanin (KLH) antibodies in blood serum samples, indicate that the SPI, in addition to providing a simple and fast measurement, is comparable with existing approaches, such as radioimmunoassy or enzyme-linked immunosorbent assay both in sensitivity and specificity.
Photo-Induced Thermo-Spin In Ferromagnetic Graphene Field Effect Transistor

Thermospin effects in ferromagnetic graphene mesoscopic device are investigated. The thermo-spin characteristics such as spin Seebeck coefficient, the thermal conductance, and spin figure of merit are expressed in terms of the tunneling probability of Dirac fermions for both parallel and antiparallel spin alignments of electrons. This tunneling probability and the corresponding electrical conductance are derived by solving Dirac equation for both spin alignments. Numerical calculations are performed and the obtained results show that the values of Seebeck coefficient, thermal conductance, and figure of merit are different for spin up and spin down. Their values are increased as the frequency of the induced ac-field increases, that is, the thermospin transport through such device is enhanced by the photon energy. The present research is very important in the field of spin caloritronics on the nanoscale systems.