Miracle-dz/UniFAR-FTUs huggingface dataset:
Band-specific features improve Finger Flexion Prediction from ECoG

Abstract—ECoG-based BCIs attract intensive attention recently. ECoG can provide a higher spatial resolution and signal quality compare to EEG recordings. These characteristics make possible to localize the source of neural signals precisely with respect to certain brain activities such that ECoG-based BCIs may realize a complex and apt neuroprosthesis. Signal processing is a very important task in the BCIs research for translating the brain signals into commands for a computer application or a neuroprosthesis. Here, we present a linear regression method based on the amplitude modulation of band-specific ECoG including tap delay for individual finger flexion prediction. We especially study the influence of the frequency band decomposition on the prediction. An efficient feature selection can reduce the number of features by a factor greater than 10 without a strong impact on the prediction. According to the experimental results, the gamm band (60-100Hz) seems the carry more useful information than the others. This method won the BCI competition IV dedicated to this mapping.
Structure-function relations in AMPA receptors

ABSTRACTThe ionotropic glutamate receptors (iGluRs) are postsynaptic ion channelsinvolved in excitatory neurotransmission. The iGluRs can be classified according totheir specific agonists into N-methyl- D -aspartate (NMDA), α -amino-5-hydroxy-3-methyl-4-isoxazole propionic acid (AMPA) and kainate receptors. Each of these classescontains several homologous subunits that assemble in a subtype-specific mannerinto oligomeric (tetra/pentameric) complexes.The iGluRs are integral membrane proteins for which there is as yet no structureavailable. However, some structural features of the subunits, including the primarystructure and its modifications, topology and domain organisation, have been solved.Extensive biochemical and biophysical characterisation has been so far hampered bythe lack of sufficient amounts of homogeneous material.In this study, the production and purification of an AMPA-type glutamatereceptor was investigated. Recombinant GluRD receptors were expressed inSpodoptera frugiperda Sf21 insect cells and purified by affinity chromatography.The purified receptor preparation contained over 2000 pmol of high-affinity (K
Harmonic Identification Methods Based on Moving Average Filters for Active Power Filters

Harmonic detection is very important in the control of active power filters (APFs). This paper presents a technique for harmonic identification, based on moving average filters (MVAs) and heterodyning, very suitable for digital implementation. The approach of fundamental component identification is contributed both for single-phase and three-phase voltage/current systems. Selective harmonic identification is also feasible. Due to the rapid step-response, good harmonic/noise cancellation of MVAs, and good frequency adaptation of the proposed algorithms, they have a very good performance compared with other alternatives. Experimental results of digital implementation in a rapid prototyping platform (dSpace DS1103), including an APF prototype are contributed proving the theoretical approaches. Details and experimental results of FPGA implementation, a clear trend in the field of digital control, are also contributed.
Producing and perceiving the Canadian Vowel Shift: Evidence from a Montreal community

Abstract This paper investigates interspeaker variation in the mid and low short vowels of Jewish Montreal English, analyzing the Canadian Shift in both production and perception. In production, we find that young women are leading in the retraction of /æ/ and the lowering and retraction of /ε/. We furthermore find that across speakers, the retraction of /æ/ is correlated with the lowering and retraction of /ε/, providing quantitative evidence that the movements of these two vowels are linked. The trajectory implied by our production data differs from what was reported in Montreal approximately one generation earlier. In contrast to reliable age differences in production, a vowel categorization task shows widespread intergenerational agreement in perception, highlighting a mismatch: in this speech community, there is evidently more systematic variation in production than in perception. We suggest that this is because all individuals are exposed to both innovative and conservative variants and must perceptually accommodate accordingly.
SNP Set Association Analysis for Genome-Wide Association Studies

Genome-wide association study (GWAS) is a promising approach for identifying common genetic variants of the diseases on the basis of millions of single nucleotide polymorphisms (SNPs). In order to avoid low power caused by overmuch correction for multiple comparisons in single locus association study, some methods have been proposed by grouping SNPs together into a SNP set based on genomic features, then testing the joint effect of the SNP set. We compare the performances of principal component analysis (PCA), supervised principal component analysis (SPCA), kernel principal component analysis (KPCA), and sliced inverse regression (SIR). Simulated SNP sets are generated under scenarios of 0, 1 and ≥2 causal SNPs model. Our simulation results show that all of these methods can control the type I error at the nominal significance level. SPCA is always more powerful than the other methods at different settings of linkage disequilibrium structures and minor allele frequency of the simulated datasets. We also apply these four methods to a real GWAS of non-small cell lung cancer (NSCLC) in Han Chinese population
The Paderborn University BSP ( PUB ) Library { Design and ImplementationArmin

The Paderborn University BSP (PUB) library is a C library of message passing functions inspired by the BSP model. The library supports buuered and unbuuered asynchronous communication between processors, and a mechanism for synchronizing the processors in a barrier style. In addition, it provides routines for collective communication on any arbitrary subset of processors, such as broadcast and parallel preex, as well as fork and join operations. Compared to other BSP libraries, it provides a richer set of message passing functions, but direct remote memory access is currently not supported. Furthermore, some techniques used in the implementation of the PUB library deviate signiicantly from the techniques used in other libraries.
Translational Control of Viral Gene Expression in Eukaryotes

SUMMARY As obligate intracellular parasites, viruses rely exclusively on the translational machinery of the host cell for the synthesis of viral proteins. This relationship has imposed numerous challenges on both the infecting virus and the host cell. Importantly, viruses must compete with the endogenous transcripts of the host cell for the translation of viral mRNA. Eukaryotic viruses have thus evolved diverse mechanisms to ensure translational efficiency of viral mRNA above and beyond that of cellular mRNA. Mechanisms that facilitate the efficient and selective translation of viral mRNA may be inherent in the structure of the viral nucleic acid itself and can involve the recruitment and/or modification of specific host factors. These processes serve to redirect the translation apparatus to favor viral transcripts, and they often come at the expense of the host cell. Accordingly, eukaryotic cells have developed antiviral countermeasures to target the translational machinery and disrupt protein synthesis during the course of virus infection. Not to be outdone, many viruses have answered these countermeasures with their own mechanisms to disrupt cellular antiviral pathways, thereby ensuring the uncompromised translation of virion proteins. Here we review the varied and complex translational programs employed by eukaryotic viruses. We discuss how these translational strategies have been incorporated into the virus life cycle and examine how such programming contributes to the pathogenesis of the host cell.
Aggregate-join query processing in parallel database systems

Queries containing aggregate functions often combine multiple tables through join operations. We call these queries "aggregate-join" queries. In parallel processing of such queries, it must be decided which attribute to be used as a partitioning attribute, particularly join attribute or group-by attribute. Based on the partitioning attribute, we discuss three parallel aggregate-join query processing methods, namely: Join Partition Method (JPM), Aggregate Partition Method (APM), and Hybrid Partition Method (HPM). The JPM and APM models use the join attribute, and the group-by attribute, respectively, as the partitioning attribute. The HPM model combines the other two methods using a logically hybrid architecture.
Characterization and Biocompatibility of Biopolyester Nanofibers

Biodegradable nanofibers are expected to be promising scaffold materials for biomedical engineering, however, biomedical applications require control of the degradation behavior and tissue response of nanofiber scaffolds in vivo. For this purpose, electrospun nanofibers of poly(hydroxyalkanoate)s (PHAs) and poly(lactide)s (PLAs) were subjected to degradation tests in vitro and in vivo. In this review, characterization and biocompatibility of nanofibers derived from PHAs and PLAs are described. In particular, the effects of the crystalline structure of poly[(R)-3-hydroxybutyrate], stereocomplex structure of PLA, and monomer composition of PHA on the degradation behaviors are described in detail. These studies show the potential of biodegradable polyester nanofibers as scaffold material, for which suitable degradation rate and regulated interaction with surrounding tissues are required.
Implementing Software Transactional Memory, Correctly

In recent years there has been much interest in the idea of concurrent programming using transactional memory, for example as provided in STM Haskell. While programmers are provided with a simple high-level model of transactions in terms of a stop-the-world semantics, the low-level implementation is rather more complex, involving subtle techniques that allow multiple transactions to execute concurrently. In this article, we take the first steps towards a formally verified implementation of transactional memory. In particular, we present a stripped-down, idealised concurrent language inspired by STM Haskell, and show how a low-level implementation of this language can be justified with respect to a high-level semantics, by means of a compiler and its correctness theorem, validated using QuickCheck and HPC.
International Trade and Inter-industry Wages Inter-industry Wage Structure in Swedish Manufacturing: Evidence from Matched Employer-employee Data. International Trade and Inter-industry Wages

LUNDIN, Nannan and Lihong YUN (2004). International Trade and Inter-Industry Wage Structure in Swedish Manufacturing: Evidence from Matched Employer-employee Data. This study examines the inter-industry wage structure in Swedish manufacturing sector by using matched employer-employee data for the period 1996 to 2000. It uses, first, detailed individual and job characteristics to estimate industry-specific and time-varying wage premiums. Second, controlling for effects of domestic competition and technical progress, it examines the impact of international trade on the wage premiums. Results estimated in the context of the specific factor model of international trade confirm that there are tangible consequences for income distribution from international trade. Further they indicate that industries that export in particular those to high-income countries have higher wage-premiums whereas industries that face import competition from low-income countries have lower wage premiums. It argues further that technical progress (such as those that are connected with investment in R&D activity) enhances inter-industry wage premiums. Nannan LUNDIN and Lihong YUN (2004). Trade Union Institute for Economic Research (FIEF), Wallingatan 38, SE-11124 Stockholm, Sweden. Department of Business, Economics, Statistics and Informatics (ESI), University of Örebro, SE-701 82 Örebro, Sweden.
A New Algorithm for Method of Moments Solution of Static Charge Distribution

A new integration algorithm based on use of Quasi Monte Carlo Integration (QMCI) technique is proposed for Method of Moments (MoM) solution of Integral equations. As an example, solution of the integral equation for unknown charge distribution on metallic structures is obtained. It is observed that the proposed method is not only capable of dealing with the problem of singularity efficiently but also provides accurate computation of the static charge distribution on thin metallic rods.
Roger Dingledine The Free Haven Project arma @ freehaven . net Nick Mathewson The Free Haven Project nickm @ freehaven . net

While the need for datand message confidentiality is well known, t he need to protect against traffic analysis on networks, including unclassified networks, is less widely recognized. Tor is a circuit-based low-latency anonymous communication service that resists traffic analysis. This second-generation Onion Routing system adds to the first-genera tion design with perfect forward secrecy, congestion control, directory servers, integrity checking, variable exit policies, and a practical design for rendezvous points. Tor works on the real-world Internet, requires no special privileges or kernel modifications, requires little synchronization or coordination between nodes, and provides a reasonable tradeoff between anonymity, usability, and efficiency.
Limiting the Disclosure of Access Control Policies during Automated Trust Negotiation

Automated trust negotiation is a new approach to establishing trust between strangers through the exchange of property-based digital credentials, and the use of mobile access control policies that specify what combinations of credentials a stranger must supply in order to gain access to each local service or credential. In this paper, we show that access control policies can also contain sensitive information that should be protected from inappropriate access by strangers during negotiation. We present and analyze two automated trust negotiation strategies that support protection for access control policies. The first is the relevant credentials set strategy, which does not directly disclose access control policies and has a fast running time, but may disclose more credentials than strictly necessary. The second strategy is the all relevant policies strategy, which freely discloses all relevant access control policies that the other negotiating party has earned access to during negotiation, and offers the possibility of disclosing fewer credentials
Modeling Semantic Heterogeneity in Dataspace: A Machine Learning Approach

A data space system facilitates a new way for sharing and integrating the information among the various distributed, autonomous and heterogeneous data sources. To provide the best effort answer of a user query, a data space system needs to resolve the semantic heterogeneity in its core. There are many solutions being proposed to address this problem widely. We are exploring the problem of semantic heterogeneity in a data space system as a part of our PhD work. In this paper, we have addressed the semantic heterogeneity in the context of a data space system, and presented an abstract framework to model the semantic heterogeneity in data space. The proposed model is based on machine learning and ontology approaches. The machine learning technique analyzes the semantically equivalent data items (or entities) in data space, and the ontology conceptualizes the structural entities in a data space. This model resolves the semantic heterogeneity of a data space system, and creates a conceptual model using "from-data-to-schema" approach. The proposed approach implicitly creates the domain ontology by finding the most similar concepts comming from different data sources and enriches the performance of the system by finding the semantic relationships among them.
Using Technology Transfer to Advance Automatic Lemmatisation for Setswana

South African languages (and indigenous African languages in general) lag behind other languages in terms of the availability of linguistic resources. Efforts to improve or fast-track the development of linguistic resources are required to bridge this ever-increasing gap. In this paper we emphasize the advantages of technology transfer between two languages to advance an existing linguistic technology/resource. The advantages of technology transfer are illustrated by showing how an existing lemmatiser for Setswana can be improved by applying a methodology that was first used in the development of a lemmatiser for Afrikaans.
Consequence-Finding Based on Ordered Linear Resolution

Since linear resolution with clause ordering is incomplete for consequence-finding, it has been used mainly for proof-finding. In this paper, we re-evaluate consequence-finding. Firstly, consequence-finding is generalized to the problem in which only interesting clauses having a certain property (called characteristic clauses) should be found. Then, we show how adding a skip rule to ordered linear resolution makes it complete for consequence-finding in this general sense. Compared with set-of-support resolution, the proposed method generates fewer clauses to find such a subset of consequences. In the propositional case, this is an elegant tool for computing the prime implicants/implicates. The importance of the results lies in their applicability to a wide class of AI problems including procedures for nonmonotonic and abductive reasoning and truth maintenance systems.
Survey of Detection and Localization of Multiple Spoofing Attacks in Wireless Networks

Wireless systems are defenseless to spoofing attacks, which takes into consideration numerous different types of attacks on the systems. Despite the fact that the personality of a hub might be confirmed through cryptographic verification, confirmation is not dependably conceivable in light of the fact that it requires key administration and extra infrastructural overhead. A method for both detecting spoofing attacks and spotting the positions of foes performing the attacks is introduced. An attack detector for wireless spoofing that uses K-implies cluster analysis is used. Next, how we integrated our attack detector into a real time indoor confinement framework is portrayed, which is additionally equipped for limiting the positions of the attackers. It is shown that the positions of the attackers might be confined utilizing either zone based or focus based confinement calculations with the same relative slips as in the ordinary case. We have assessed our routines through experimentation utilizing both a 802.11 (Wifi) organize and additionally an 802.15. 4 (Zigbee) system. Our effects show that it is conceivable to identify wireless spoofing with both a high recognition rate and a low false positive rate, along these lines furnishing solid proof of the viability of the K-methods spoofing detector and also the attack localizer.
Influenza Virus and Poly(I:C) Inhibit MHC Class I-Restricted Presentation of Cell-Associated Antigens Derived from Infected Dead Cells Captured by Human Dendritic Cells1

During viral infection, dendritic cells (DCs) capture infected cells and present viral Ags to CD8+ T cells. However, activated DCs might potentially present cell-associated Ags derived from captured dead cells. In this study, we find that human DCs that captured dead cells containing the TLR3 agonist poly(I:C) produced cytokines and underwent maturation, but failed to elicit autologous CD8+ T cell responses against Ags of dead cells. Accordingly, DCs that captured dead cells containing poly(I:C), or influenza virus, are unable to activate CD8+ T cell clones specific to cell-associated Ags of captured dead cells. CD4+ T cells are expanded with DCs that have captured poly(I:C)-containing dead cells, indicating the inhibition is specific for MHC class I-restricted cross-presentation. Furthermore, these DCs can expand naive allogeneic CD8+ T cells. Finally, soluble or targeted Ag is presented when coloaded onto DCs that have captured poly(I:C)-containing dead cells, indicating the inhibition is specific for dead cell cargo that is accompanied by viral or poly(I:C) stimulus. Thus, DCs have a mechanism that prevents MHC class I-restricted cross-presentation of cell-associated Ag when they have captured dead infected cells.
Glottal-Shape Codebook to Improve Robustness of CELP Codecs

This paper presents a new technique for the class of code-excited linear prediction speech codecs designed to reduce error propagation after lost frames. Its principle consists in replacing the interframe long-term prediction with a glottal-shape codebook in the subframe containing the first glottal impulse in a given frame. This technique, independent of previous frames, is of particular interest in voiced speech frames following transitions as these frames are the most sensitive to frame erasures. It is a basis of a structured coding scheme called transition coding (TC). The TC greatly improves codec performance in noisy channels while maintaining clean channel performance. It is a part of the new embedded speech and audio codec recently standardized as Recommendation G.718 by ITU-T.
3D Chip-to-Chip Stacking with Through Silicon Interconnects

The paper describes the newly development technology of 3D stacking packaging by introducing laser-drilled through silicon interconnect (LTSI). Compared to the recently abundant researches of 3D chip-to-wafer or wafer-to-wafer stacking, it demonstrated a more reliable and practical process flow to achieve the 3D stacking technology. The investigation of thermal effect and electrical properties on LTSI confirm that this newly low-cost interconnect technology could be a good candidate for both wafer stacking application and 3D SiP module.
A thermal infrared dataset for evaluation of short-term tracking methods

During recent years, thermal cameras have decreased in both size and cost while improving image quality. The area of use for such cameras has expanded with many exciting applications, many of which require tracking of objects. While being subject to extensive research in the visual domain, tracking in thermal imagery has historically been of interest mainly for military purposes. The available thermal infrared datasets for evaluating methods addressing these problems are few and the ones that do are not challenging enough for today’s tracking algorithms. Therefore, we hereby propose a thermal infrared dataset for evaluation of short-term tracking methods. The dataset consists of 20 sequences which have been collected from multiple sources and the data format used is in accordance with the Visual Object Tracking (VOT) Challenge.