Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards a Robust and Scalable Semantic Service Discovery Scheme for Mobile Ad hoc Network

Mobile Ad hoc Networks (MANET) are characterized as an infrastructure-less communication networks formed among a set of stranger nodes. Service Discovery is a challenging problem in such networks due to their non-deterministic and improvised nature. This manuscript addresses two main issues related to service discovery in MANET i.e. consistency management and knowledge representation. Consistency management i.e. the problem of maintaining a coherent view of the services in the network is a taxing job due to the sharp variations in the service availability information in MANET. Similarly, the lack of a standard mechanism for representation of data and resources on the network engenders syntactic and semantic interoperability issues during discovery of services. The use of a colossal schema to describe the services can resolve the issue of noninteroperability, but this approach is certainly not viable because of the limited capabilities of nodes. In view of these challenges, this paper presents a robust and scalable network layer semantic service discovery scheme. A network layer service discovery scheme is presented that finds out the requested service jointly with the corresponding route to the provider of service. For ensuring the robustness of the process, a network layer consistency management scheme is also proposed that maintains the valid state of the services by exploiting the vigilance of network layer. To solve the knowledge representation issue, we recommend a scalable multi-tiered approach based on a general purpose ontology called Software Ontology for Ad hoc and Vehicular Network Applications (SLAVE). The multi-tiered approach keeps a portion of global schema at individual nodes of the network and advocates progressive growth of schema information. The proposed scheme has been simulated in JIST/SWANS simulator. The simulation results assert the robustness and scalability of the consistency manager and knowledge representation scheme respectively.
The pharmacokinetics of intravenous paracetamol in neonates: size matters most

Background The aim was to describe intravenous paracetamol pharmacokinetics, determine major covariates and suggest a dosing regimen for (pre)term neonates. Methods A population pharmacokinetic analysis of 943 paracetamol observations from 158 neonates (27–45 weeks' postmenstrual age (PMA)) was undertaken using non-linear mixed effects models. Data from three published studies were pooled with newly collected time–concentration points during repeated intravenous paracetamol administration. Results A two-compartment (central, peripheral) linear disposition model was used. Population parameter estimates (between-subject variability, %) were central volume 51.9 l/70 kg (21.6%), peripheral volume of distribution 22.7 l/70 kg, clearance 5 l/h/70 kg (40%) and intercompartment clearance 16.2 l/h/70 kg. Covariate information predicts 60.9% of clearance variance. Weight was used to predict patient size and was the major covariate contributing 57.5% of variance. Clearance expressed as mg/kg/h increases only slightly with PMA (0.138 l/kg/h at 28 weeks' PMA to 0.167 l/kg/h at 44 weeks' PMA) and contributes only 2.2% of variance. High unconjugated bilirubin levels contributed an additional 1.2%. Conclusions Patient size (predicted by weight) is the major covariate of clearance variance in neonates. Using these estimates, a mean paracetamol serum concentration of 11 mg/l is predicted in neonates of 32–44 weeks' PMA given a standard dose of intravenous paracetamol of 10 mg/kg every 6 h. Safety data for this drug are limited in neonates. Continued surveillance therefore remains essential.
Online Interval Skyline Queries on Time Series

In many applications, we need to analyze a large number of time series. Segments of time series demonstrating dominating advantages over others are often of particular interest. In this paper, we advocate interval skyline queries, a novel type of time series analysis queries. For a set of time series and a given time interval [i : j], an interval skyline query returns the time series which are not dominated by any other time series in the interval. We illustrate the usefulness of interval skyline queries in applications. Moreover, we develop an on-the-fly method and a view-materialization method to online answer interval skyline queries on time series. The on-the-fly method keeps the minimum and the maximum values of the time series using radix priority search trees and sketches, and computes the skyline at the query time. The view-materialization method maintains the skylines over all intervals in a compact data structure. Through theoretical analysis and extensive experiments, we show that both methods only require linear space and are efficient in query answering as well as incremental maintenance.
cKit+ cardiac progenitors of neural crest origin

Significance A high-resolution genetic lineage-tracing study in mice reveals that cKit identifies multipotent progenitors of cardiac neural crest (CNC) origin. Normally, the proportion of cardiomyocytes produced from this lineage is limited, not because of poor differentiation capacity as previously thought, but because of stage-specific changes in the activity of the bone morphogenetic protein pathway. Transient bone morphogenetic protein antagonism efficiently directs mouse iPSCs toward the CNC lineage and, consequently, the generation of cKit+ CNCs with full capacity to form cardiomyocytes and other CNC derivatives in vitro. These findings resolve a long-standing controversy regarding the role of cKit in the heart, and are expected to lead to the development of novel stem cell-based therapies for the prevention and treatment of cardiovascular disease. The degree to which cKit-expressing progenitors generate cardiomyocytes in the heart is controversial. Genetic fate-mapping studies suggest minimal contribution; however, whether or not minimal contribution reflects minimal cardiomyogenic capacity is unclear because the embryonic origin and role in cardiogenesis of these progenitors remain elusive. Using high-resolution genetic fate-mapping approaches with cKitCreERT2/+ and Wnt1::Flpe mouse lines, we show that cKit delineates cardiac neural crest progenitors (CNCkit). CNCkit possess full cardiomyogenic capacity and contribute to all CNC derivatives, including cardiac conduction system cells. Furthermore, by modeling cardiogenesis in cKitCreERT2-induced pluripotent stem cells, we show that, paradoxically, the cardiogenic fate of CNCkit is regulated by bone morphogenetic protein antagonism, a signaling pathway activated transiently during establishment of the cardiac crescent, and extinguished from the heart before CNC invasion. Together, these findings elucidate the origin of cKit+ cardiac progenitors and suggest that a nonpermissive cardiac milieu, rather than minimal cardiomyogenic capacity, controls the degree of CNCkit contribution to myocardium.
1 Dual Role of the Histone Variant H 2 A . Z in Transcriptional Regulation 2 of Stress-Response Genes 3 4

RESEARCH ARTICLE 1 Dual Role of the Histone Variant H2A.Z in Transcriptional Regulation 2 of Stress-Response Genes 3 4 Weronika Sura, Michał Kabza, Wojciech M. Karlowski, Tomasz Bieluszewski, Marta 5 Kuś-Slowinska, Łukasz Pawełoszek†, Jan Sadowski and Piotr A. Ziolkowski* 6 7 1 Department of Biotechnology, Adam Mickiewicz University, Poznan, Poland 8 2 Department of Bioinformatics, Adam Mickiewicz University, Poznan, Poland 9 3 Department of Computational Biology, Adam Mickiewicz University, Poznan, Poland 10 † Deceased 8 March 2012 11 * Corresponding author: pzio@amu.edu. pl 12 13 Short title: Changes of H2A.Z levels in stress response 14 One-sentence summary: H2A.Z is removed from nucleosomes localized in genes upon 15 transcriptional activation in response to drought stress conditions in Arabidopsis thaliana. 16 17 The author responsible for distribution of materials integral to the findings presented in this 18 article in accordance with the policy described in the Instructions for Authors (www.plantcell.org) 19 is: Weronika Sura (wsura@amu.edu.pl). 20 21 ABSTRACT 22 The influence of the histone variant H2A.Z on transcription remains a long-standing 23 conundrum. Here, by analyzing the actin-related protein6 mutant, which is impaired in 24 H2A.Z deposition, and by H2A.Z profiling in stress conditions, we investigated the 25 impact of this histone variant on gene expression in Arabidopsis thaliana. We 26 demonstrate that the arp6 mutant exhibits anomalies in response to osmotic stress. 27 Indeed, stress-responsive genes are overrepresented amongst those hyperactive in 28 arp6. In wild-type plants, these genes exhibit high levels of H2A.Z in the gene body. 29 Furthermore, we observed that in drought-responsive genes, levels of H2A.Z in the gene 30 body correlate with transcript levels. H2A.Z occupancy, but not distribution, changes in 31 parallel with transcriptional changes. In particular, we observed H2A.Z loss upon 32 transcriptional activation and H2A.Z gain upon repression. This data suggest that H2A.Z 33 has a repressive role in transcription and counteracts unwanted expression in non34 inductive conditions. However, reduced activity of some genes in arp6 is associated with 35 distinct behavior of H2A.Z at their +1 nucleosome, which exemplifies the requirement of 36 this histone for transcription. Our data support a model where H2A.Z in gene bodies has 37 a strong repressive effect on transcription, whereas in +1 nucleosomes it is important for 38 maintaining the activity of some genes. 39 40 4
GPU task parallelism for scalable anomaly detection

Stream computing has emerged as a new processing paradigm that processes incoming data streams from large numbers of sensors in real time. At the same time, many recent efforts have shown the suitability of GPGPU s for batch-typed long-running applications. However, few studies conduct the applicability of GPGPU to stream computing and also our first experiment shows that the performance does not scale as expected if one introduces the GPGPU to stream computing applications. This paper presents the workload characterization of GPGPU-based stream computing. We especially focus on computing SVD (Singular Value Decomposition) with GPGPUs for small-sized matrix since it can be widely applicable to real-time stream-based data mining applications such as real-time anomaly detection. In this paper, we not only show the workload characterization of GPGPU-based stream computing but also propose the optimization approach of SVD for stream computing applications called “GPU task Parallelism” to leverage the sufficient capability of GPGPUs. This optimization offers new levels of scalability for real-time operations with large numbers of sensors. Our experimental results show that GPU task parallelism provides roughly four-fold performance gains against a quad-core CPU for matrixes of 300 × 300 to 500 × 500 data values. We also implemented a stream-based change-point and anomaly detection system based on the optimized SVD and stream computing system called System S. By porting the optimized version of SVD to the distributed stream computing system, it was easy to exploit multiple GPUs on multiple nodes. The performance results showed performance around 7.6 times faster than CPUs. The scalability of our proposed system was tested up to 1,525 sensors, which were simultaneously handled for change-point detection every 5 seconds.
On State-Estimation of a 2-state Hidden Markov Model withQuantisation

We consider quantisation from the perspective of minimising ltering error when quantised instead of continuous measurements are used as inputs to a nonlinear lter, specialising to discrete-time 2-state hidden Markov models (HMMs) with continuous-range output. An explicit expression for the ltering error when continuous measurements are used is presented. We also propose a quantisation scheme based on maximising the mutual information between quantised observations and the hidden states of the HMM.
Fine Motion Planning for Shared Wheelchair Control: Requirements and Preliminary Experiments

Many elderly and disabled people today experience diculties when manoeuvring an electric wheelchair. In order to help these people, several heuristic navigation algorithms have been devised in the past. However, in order to make the chair fast and reactive, the wheelchair’s dimensions, non-holonomic and dynamic constraints are often only approximately taken into account. Consequently, these robotic wheelchairs may and do fail in executing the very same manoeuvres with which the elderly and disabled have problems. A possible approach to tackle this problem, is to use a fine motion planner that takes the kinematic and dynamic constraints explicitly into account. This paper discusses the requirements for such wheelchair fine motion planners. Also, an enhanced version of a previously developed planner for autonomous robots is presented, and it is evaluated for use on wheelchairs.
Characteristics of candidate genes associated with embryonic development in the cow: Evidence for a role for WBP1 in development to the blastocyst stage

The goal was to gain understanding of how 12 genes containing SNP previously related to embryo competence to become a blastocyst (BRINP3, C1QB, HSPA1L, IRF9, MON1B, PARM1, PCCB, PMM2, SLC18A2, TBC1D24, TTLL3 and WBP1) participate in embryonic development. Gene expression was evaluated in matured oocytes and embryos. BRINP3 and C1QB were not detected at any stage. For most other genes, transcript abundance declined as the embryo developed to the blastocyst stage. Exceptions were for PARM1 and WBP1, where steady-state mRNA increased at the 9–16 cell stage. The SNP in WBP1 caused large differences in the predicted three-dimensional structure of the protein while the SNP in PARM1 caused smaller changes. The mutation in WBP1 causes an amino acid substitution located close to a P-P-X-Y motif involved in protein-protein interactions. Moreover, the observation that the reference allele varies between mammalian species indicates that the locus has not been conserved during mammalian evolution. Knockdown of mRNA for WBP1 decreased the percent of putative zygotes becoming blastocysts and reduced the number of trophectoderm cells and immunoreactive CDX2 in the resulting blastocysts. WBP1 is an important gene for embryonic development in the cow. Further research to identify how the SNP in WBP1 affects processes leading to differentiation of the embryo into TE and ICM lineages is warranted.
Privacy Preserving EM-Based Clustering

The problem of privacy-preserving EM-based clustering was solved when the dataset is horizontally partitioned into more than two parts (i.g., more than two computation parties). The aim of this work is to develop a method for the more difficult problem when the dataset is horizontally partitioned into only two parts. The key question is how to compute and reveal only the covariance matrix at various steps of the EM iterative process to the participating parties. We propose a method consisting of several protocols that provide privacy preservation for the computation of covariance matrices and final results without revealing the private information and the means. We also extend the proposed method for a better solution to the problem of privacy preserving k-means clustering.
Improved activity recognition via Kalman smoothing and multiclass linear discriminant analysis

Improving activity recognition, with special focus on fall-detection, is the subject of this study. We show that Kalman smoothed in-painting of missing pose information and task-specific dimensionality reduction of activity feature vectors leads to significantly improved activity classification performance. We illustrate our findings by applying common classification algorithms to dimensionally reduced feature vectors, and compare our accuracy to previous work. In part two we investigate our methods on a small subset of the data, in order to ascertain what accuracy performance is achievable with the smallest amount of information available.
Chest Pain Resulting From Histoplasmosis Pericarditis: A Brief Report and Review of the Literature

Histoplasmosis is an endemic disease in many regions of the United States. Physicians must be aware of the clinical syndromes and take advantage of epidemiologic clues when diagnosing histoplasmosis pericarditis. Clinicians must also be familiar with the uses and limitations of a battery of serologic and mycologic tests. Finally, further clinical trials are needed to study the role of antifungal therapy in the treatment of histoplasmosis pericarditis.
A well-posedness theory in measures for some kinetic models of collective motion

We present existence, uniqueness and continuous dependence results for some kinetic equations motivated by models for the collective behavior of large groups of individuals. Models of this kind have been recently proposed to study the behavior of large groups of animals, such as flocks of birds, swarms, or schools of fish. Our aim is to give a well-posedness theory for general models which possibly include a variety of effects: an interaction through a potential, such as a short-range repulsion and long-range attraction; a velocity-averaging effect where individuals try to adapt their own velocity to that of other individuals in their surroundings; and self-propulsion effects, which take into account effects on one individual that are independent of the others. We develop our theory in a space of measures, using mass transportation distances. As consequences of our theory, we show also the convergence of particle systems to their corresponding kinetic equations, and the local-in-time convergence to the hy.
Symmetric Blind Decryption with Perfect Secrecy

A blind decryption scheme enables a user to query decryptions from a decryption server without revealing information about the plaintext message. Such schemes are useful, for example, for the implementation of privacy preserving encrypted file storages and payment systems. In terms of functionality, blind decryption is close to oblivious transfer. For noiseless channels, information-theoretically secure oblivious transfer is impossible. However, in this paper we show that this is not the case for blind decryption. We formulate a definition of perfect secrecy of symmetric blind decryption for the following setting: at most one of the scheme participants is a malicious observer. We also devise a symmetric blind decryption scheme based on modular arithmetic on a ring $\mathbb{Z}_{p^2}$, where $p$ is a prime, and show that it satisfies our notion of perfect secrecy.
The Transcriptome of the Reference Potato Genome Solanum tuberosum Group Phureja Clone DM1-3 516R44

Advances in molecular breeding in potato have been limited by its complex biological system, which includes vegetative propagation, autotetraploidy, and extreme heterozygosity. The availability of the potato genome and accompanying gene complement with corresponding gene structure, location, and functional annotation are powerful resources for understanding this complex plant and advancing molecular breeding efforts. Here, we report a reference for the potato transcriptome using 32 tissues and growth conditions from the doubled monoploid Solanum tuberosum Group Phureja clone DM1-3 516R44 for which a genome sequence is available. Analysis of greater than 550 million RNA-Seq reads permitted the detection and quantification of expression levels of over 22,000 genes. Hierarchical clustering and principal component analyses captured the biological variability that accounts for gene expression differences among tissues suggesting tissue-specific gene expression, and genes with tissue or condition restricted expression. Using gene co-expression network analysis, we identified 18 gene modules that represent tissue-specific transcriptional networks of major potato organs and developmental stages. This information provides a powerful resource for potato research as well as studies on other members of the Solanaceae family.
Web-based simulation: revolution or evolution?

The nature of the emerging field of web-based simulation is examined in terms of its relationship to the fundamental aspects of simulation research and practice. The presentation, assuming a form of debate, is based on a panel session held at the first International Conference on Web-Based Modeling and Simulation, which was sponsored by the Society for Computer Simulation during 11-14 January 1998 in San Diego, California. While no clear “winner” is evident in this debate, the issues raised here certainly merit ongoing attention and contemplation.
Roboser - An Autonomous Interactive Musical Composition System

This paper describes Roboser (http://www.roboser.com), an autonomous interactive music composition system. The core of the system comprises two components: a program for simulating large-scale neural networks, and an algorithmic composition system. Both components operate in real-time. Data from e.g. cameras, microphones and pressure sensors enter the simulated neural system, which is also used to actively control motor devices such as pantilt cameras and robots. The neural system relays data representing its current operational state on to the algorithmic composition system. The composition system in turn generates musical expressions of these neural states within an a priori stylistic framework. The result is a real-time system controlled by a brain-like structure that behaves and interacts within a given environment and expresses its internal states through music.
Feedback between mountain belt growth and plate convergence revealed by forward and inverse tectonic models

While it is generally assumed that global plate motions are driven by the pattern of convection in the Earth's mantle, the details of that link remain obscure. Bouyancy forces associated with subduction of cool, dense lithosphere at zones of plate convergence are thought to provide significant driving force, but the relative magnitudes of other driving and resisting forces are less clear, as are the main factors controlling long-term changes in plate motion. The ability to consider past as well as present plate motions provides significant additional constraints, because changes in plate motion are necessarily driven by changes in one or more driving or resisting forces, which may be inferred from independent data. Here we present for the first time a model that explicitly links global mantle convection and lithosphere models to infer plate motion changes as far back as Miocene time. By accurately predicting observed convergence rates over the past 10 m.y. , we demonstrate that surface topography generated at convergent margins is a key factor controlling the long-term evolution of plate motion. Specifically, the topographic load of large mountain belts and plateaus consumes a significant amount of the driving force available for plate tectonics by increasing frictional forces between downgoing and overriding plates.