Miracle-dz/UniFAR-FTUs huggingface dataset:
XConquer: Extended Twig Pattern Matching Based on ftcontains Expression

XML employs a tree-structured model for representing data, and queries over XML documents are typically represented as twig patterns. At the same time, keyword search over XML documents has been well studied because of its intuitive and friendly query interface. Consequently, XQuery Full-Text emerges as a full-text extension to XQuery to query both the structure and the text content of XML documents seamlessly. This paper proposes the extended twig pattern matching problem based on the semantics of 'ftcontains' expression in XQFT and develops a novel algorithm, XConquer, for matching an extended twig pattern. Our experimental results show that XConquer offers considerable performance benefits when compared with existing approach variation for this problem.
Optimum Conditions for Artificial Fruiting Body Formation of Cordyceps cardinalis

Abstract Stromatal fruiting bodies of Cordyceps cardinalis were successfully produced in cereals. Brown rice, German millet and standard millet produced the longest-length of stromata, followed by Chinese pearl barley, Indian millet, black rice and standard barley. Oatmeal produced the shortest-length of fruiting bodies. Supplementation of pupa and larva to the grains resulted in a slightly enhanced production of fruiting bodies; pupa showing better production than larva. 50~60 g of brown rice and 10~20 g of pupa mixed with 50~60 mL of water in 1,000 mL polypropylene (PP) bottle was found to be optimum for fruiting body production. Liquid inoculation of 15~20 mL per PP bottle produced best fruiting bodies. The optimal temperature for the formation of fruiting bodies was 25°C, under conditions of continuous light. Few fruiting bodies were produced under the condition of complete darkness, and the fresh weight was considerable low, compared to that of light condition.
Analysis of the effects of the residual charge and gap size on electrospun nanofiber alignment in a gap method

In this paper, the effects of residual charges on nanofiber alignment in a gap method are studied and presented. The gap method was presented by Li and Xia (2003 Nano Lett. 3 1167); in it, a gap is introduced into a traditional collector. Due to the non-perfect conductivity of electrospun nanofibers, they carry residual charges after deposition across the gap. These residual charges will interact with the charges carried by the upcoming jet/fiber, that will also deposit across the gap. The effects of these charge interactions on nanofiber alignment were studied numerically at various gap sizes. Results showed that alignments of nanofibers improve substantially with the gap size increasing from 3 to 8 mm. Numerical studies on the effect of residual charges in already deposited nanofibers on the alignment of nanofibers deposited afterwards were also conducted. Studies showed that the residual charges result in worse alignment, with a 10%–25% decrease in orientation parameters.
Fusion of Static and Transitional Information of Cepstral and Spectral Features for Music Genre Classification

In this paper, an automatic music genre classification approach which integrates the features derived from static and transitional information of cepstral (MFCC) and spectral (OSC) features will be proposed. MFCC and OSC capture the characteristics of one audio frame. Therefore, the transitional information, including delta-MFCC, delta-OSC, delta-delta-MFCC, and delta-delta-OSC, are then extracted and combined with MFCC and OSC to improve the classification accuracy. Two information fusion techniques, including feature level fusion and decision level fusion, are developed to combine the extracted feature vectors. Experiments conducted on the music database employed in the ISMIR2004 Audio Description Contest have shown that the proposed approach can achieve a classification accuracy of 84.23%, which is better than the winner of the ISMIR2004 music genre classification contest.
Physical Activity Measured with Accelerometer and Self-Rated Disability in Lumbar Spine Surgery: A Prospective Study

Study Design Prospective observational study. Objective Patient-based subjective ratings of symptoms and function have traditionally been used to gauge the success and extent of recovery following spine surgery. The main drawback of this type of assessment is the inherent subjectivity involved in patient scoring. We aimed to objectively measure functional outcome in patients having lumbar spine surgery using quantitative physical activity measurements derived from accelerometers. Methods A prospective study of 30 patients undergoing spine surgery was conducted with subjective outcome scores (visual analog scale [VAS], Oswestry Disability Index [ODI] and Short Form 12 [SF-12]) recorded; patients were given a Fitbit accelerometer (Fitbit Inc., San Francisco, California, United States) at least 7 days in advance of surgery to record physical activity (step count, distance traveled, calories burned) per day. Following surgery, postoperative activity levels were reported at 1-, 2-, and 3-month follow-up. Results Of the 28 compliant patients who completed the full trial period, mean steps taken per day increased 58.2% (p = 0.008) and mean distance traveled per day increased 63% (p = 0.0004) at 3-month follow-up. Significant improvements were noted for mean changes in VAS back pain, VAS leg pain, ODI, and SF-12 Physical Component Summary (PCS) scores. There was no significant correlation between the improvement in steps or distance traveled per day with improvements in VAS back or leg pain, ODI, or PCS scores at follow-up. Conclusions High compliance and statistically significant improvement in physical activity were demonstrated in patients who had lumbar decompression and lumbar fusion. There was no significant correlation between improvements in subjective clinical outcome scores with changes in physical activity measurements at follow-up. Limitations of the present study include its small sample size, and the validity of objective physical activity measurements should be assessed in future larger, prospective studies.
Resource allocation for Distributed Broadband Wireless System using Manhattan scenario

DBWS (Distributed Broadband Wireless System) is a new communication paradigm in which different terminals in the wireless network share their antennas and other resources for distributed transmission and processing. Recent studies have shown that Distributed wireless system can yield significant performance improvement due to spatial diversity gains. The theory of DBWS is, however, still a lot more to explore to fully understand its wider impacts on the design of future networks wireless. There has been a few works on resource allocation for this system in the literature. This paper presents an Antenna Selection Algorithm as one efficient resource allocation technique for DBWS using Manhattan scenario.
Men Vote in Mars, Women Vote in Venus: A Survey Experiment in the Field

This paper investigates the differential response of male and female voters to competitive persuasion in political campaigns. During the 2011 municipal elections in Milan, a sample of eligible voters was randomly divided into three groups. Two were exposed to the same incumbent's campaign but to different opponent's campaigns, with either a positive or a negative tone. The third – control – group received no electoral information. The campaigns were administered online and consisted of a bundle of advertising tools (videos, texts, slogans). Stark gender differences emerge. Negative advertising increases men's turnout, but has no effect on women. Females, however, vote more for the opponent and less for the incumbent when they are exposed to the opponent's positive campaign. Exactly the opposite occurs for males. Additional tests show that our results are not driven by gender identification with the candidate, ideology, or other voter's observable attributes. Effective strategies of persuasive communication should thus take gender into account. Our results may also help to reconcile the conflicting evidence on the effect of negative vs. positive advertising, as the average impact may wash out when aggregated across gender.
Attribute Based Group Signature Scheme

Alice needs a document signed by an employee in Bob’s company. That employee should be part of the IT staff and is at least a junior manager in the cryptography team or a senior manager in the biometrics team. In such a scenario we need an Attribute Based Group Signature Scheme (ABGS). In this paper we define the first ABGS scheme where verifying includes authenticating a person that belongs to a certain group and owns particular attributes. We define two security notions adopted from group signature which are: traceability and anonymity. We prove our scheme to be secure under those two notions.
Mixtures of Probabilistic Principal Component Analyzers

Principal component analysis (PCA) is one of the most popular techniques for processing, compressing, and visualizing data, although its effectiveness is limited by its global linearity. While nonlinear variants of PCA have been proposed, an alternative paradigm is to capture data complexity by a combination of local linear PCA projections. However, conventional PCA does not correspond to a probability density, and so there is no unique way to combine PCA models. Therefore, previous attempts to formulate mixture models for PCA have been ad hoc to some extent. In this article, PCA is formulated within a maximum likelihood framework, based on a specific form of gaussian latent variable model. This leads to a well-defined mixture model for probabilistic principal component analyzers, whose parameters can be determined using an expectation-maximization algorithm. We discuss the advantages of this model in the context of clustering, density modeling, and local dimensionality reduction, and we demonstrate its application to image compression and handwritten digit recognition.
Loss of an individual idiotype on chemical modification. A strategy for assigning idiotypic determinants

Two dextran-binding myeloma proteins, J558 and Hdex 24, which possess the same individual idiotype (IdI) were diazotized to low levels (1-3.3 groups per subunit) with 1-[14C]-p-aminobenzoate. Both proteins lost the IdI idiotype under these conditions with most of the label incorporated on the heavy chains of each protein. When the diazotization ws carried out in the presence of the hapten 1-O-methyl- alpha-D-glucopyranoside the loss of idiotypic reactivity could be prevented for J558 but not for Hdex 24. Under these conditions most of the label was incorporated on the light chains of J558, but on the heavy chains of Hdex 24. For J558, these results show that a major determinant of the individual idiotype is within the hypervariable positions of the heavy chain. For Hdex 24 the determinant being modified is on the heavy chain but not involved in hapten binding. These results are consistent with previous work showing that J558 and Hdex 24 differ in amino acid sequence in the D and the J segments of the heavy chain and offer an alternative and complementary strategy for assigning idiotypic determinants.
Bringing Introspection Into the BlobSeer Data-Management System Using the MonALISA Distributed Monitoring Framework

Introspection is the prerequisite of an autonomic behavior, the first step towards a performance improvement and a resource-usage optimization for large-scale distributed systems. In grid environments, the task of observing the application behavior is assigned to monitoring systems. However, most of them are designed to provide general resource information and do not consider specific information for higher-level services. More specifically, in the context of data-intensive applications, a specific introspection layer is required in order to collect data about the usage of storage resources, about data access patterns, etc. This paper discusses the requirements for an introspection layer in a data-management system for large-scale distributed infrastructures. We focus on the case of BlobSeer, a large-scale distributed system for storing massive data. The paper explains why and how to enhance BlobSeer with introspective capabilities and proposes a three-layered architecture relying on the MonALISA monitoring framework. This approach has been evaluated on the Grid'5000 testbed, with experiments that prove the feasibility of generating relevant information related to the state and the behavior of the system.
1 1 M ay 2 00 7 Application of Girsanov Theorem to Particle Filtering of Discretely Observed Continuous-Time Non-Linear Systems

This article considers the application of particle filtering to continuousdiscrete optimal filtering problems, where the system model is a stochastic differential equation, and noisy measurements of the system are obtained at discrete instances of time. It is shown how the Girsanov theorem can be used for evaluating the likelihood ratios needed in importance sampling. It is also shown how the methodology can be applied to a class of models, where the driving noise process is lower in the dimensionality than the state and thus the laws of state and noise are not absolutely continuous. Rao-Blackwellization of conditionally Gaussian models and unknown static parameter models is also considered.
Containment control of multi-agent systems with input saturation and intermittent communication

This paper researches containment control of linear multi-agent systems (MAS) with input saturation and intermittent communication in a directed topology. Under the assumptions that each agent is asymptotically null controllable with bounded controls and the topology contains a directed spanning forest, low-gain state feedback intermittent control protocol is designed according to the algebraic Riccati equation, semi-global containment control result is obtained if the communication duration is larger than a certain value. The convergence analysis is builded on algebraic graph theory and Lyapunov control method. Simulation is also provided to illustrate the theoretical result.
Delay and rate based multichannel scheduling for heterogeneous traffic

A multichannel scheduling based on an extension of modified largest weighted delay first (M-LWDF) scheduling is proposed for heterogeneous traffic. We consider the downlink of an orthogonal frequency division multiplexing (OFDM) system where the wireless channel and queue state information are taken into account to schedule delay-sensitive and ratesensitive traffic. We propose a logarithmic notion of M-LWDF scheme, denoted LOG-M-LWDF, and we prove its stability analytically. The simulation results show that the proposed scheduling scheme outperforms M-LWDF in terms of service delay performance.
Comparison of Parallel CUDA and OpenMP Implementations of Particle Swarm Optimization

Since the physical constraints on micro computing devices have forced the researchers to design next generation chips, the significance of the parallelization and distributed computing grow in importance. In this study, a sequential implementation of the Particle Swarm Optimization algorithm is converted into a concurrent version, which is executed on the cores of both CPU and GPU. For this reason, CUDA and OpenMP libraries are operated on the parallel algorithm to make a concurrent execution on CPU and GPU, respectively. The aim of this study is to compare CPU and GPU implementation of the PSO algorithm as regards the average execution time of independent Monte Carlo runs and computation architecture. For this purpose, nine benchmark functions are selected as test problems, and the parallel algorithm is executed on different processing units. The results show that parallel performance of the algorithm on different architectures outperforms to some application oriented computation units.
Isoflurane Preconditioning Confers Cardioprotection by Activation of ALDH2

The volatile anesthetic, isoflurane, protects the heart from ischemia/reperfusion (I/R) injury. Aldehyde dehydrogenase 2 (ALDH2) is thought to be an endogenous mechanism against ischemia-reperfusion injury possibly through detoxification of toxic aldehydes. We investigated whether cardioprotection by isoflurane depends on activation of ALDH2.Anesthetized rats underwent 40 min of coronary artery occlusion followed by 120 min of reperfusion and were randomly assigned to the following groups: untreated controls, isoflurane preconditioning with and without an ALDH2 inhibitor, the direct activator of ALDH2 or a protein kinase C (PKCε) inhibitor. Pretreatment with isoflurane prior to ischemia reduced LDH and CK-MB levels and infarct size, while it increased phosphorylation of ALDH2, which could be blocked by the ALDH2 inhibitor, cyanamide. Isolated neonatal cardiomyocytes were treated with hypoxia followed by reoxygenation. Hypoxia/reoxygenation (H/R) increased cardiomyocyte apoptosis and injury which were attenuated by isoflurane and forced the activation of ALDH2. In contrast, the effect of isoflurane-induced protection was almost abolished by knockdown of ALDH2. Activation of ALDH2 and cardioprotection by isoflurane were substantially blocked by the PKCε inhibitor. Activation of ALDH2 by mitochondrial PKCε plays an important role in the cardioprotection of isoflurane in myocardium I/R injury.
A Method for Identifying IT Services Using Incidents

Providing constant IT services quality has become fundamental for organisations to achieve success and customer satisfaction. Information Technology Service Management's (ITSM) main goal is to guarantee IT services quality. Information Technology Infrastructure Library (ITIL) has become the most adopted best practice framework to implement ITSM within organisations. However, organisations often fail to identify the service compromising the quality of services delivered. ITIL does not provide the answer. We propose a method to identify services through incidents based on a reference catalogue. The contribution of the paper is to help organisations deliver IT services with quality within an organisation. The proposal was evaluated in real-world settings using Design Science Research Methodology (DSRM) and positive results were achieved.
Word association network approach for summarizing Twitter conversation about public election

Public election viewed as one of the biggest event for democracy as it will start a new phase of government in hundreds of regions across Indonesia. Such a major event will attract a big attention and require careful decision making, thus a real time information for decision support become crucial part. Twitter can serve the purpose as one source of real time information from user generated content, but the wide choice of tools with its own characteristic become a challenge in the process. In this paper, we use Word Association Network based on Graph Theory to visualize Twitter conversation for real time decision making. We are using Pemilihan Kepala Daerah (Pilkada) as the study case which happen in 9th December 2015 with 984694 tweets collected for 15 days since 3rd of December 2015.
Heterogeneous Sensor Correlation: A Case Study of Live Traffic Analysis

As enterprises deploy multiple intrusion detection sensors at key points in their networks, the issue of correlating messages from these sensors becomes increasingly important. A correlation capability reduces alert volume, and potentially improves detection performance through sensor reinforcement or complementarity. Correlation is especially advantageous when heterogeneous sensors are employed because of the potential to aggregate different views of the same incident. Emerging standards for sensor interoperability with respect to alert reporting facilitate the function of correlation engines, but these standards are still at an early stage of development. Furthermore, it is apparent that these standards will not enforce uniformity in, for example, attack description, complicating the task of correlation. The immature state of standards and nonuniformity of reporting both argue for correlation technologies that are robust, flexible, and function with comparatively few underlying assumptions. Herein, we present a case study of correlating several sensors listening to live traffic using a probabilistic correlation approach.
Automatically identifying trouble-indicating speech behaviors in alzheimer's disease

Alzheimer's disease (AD) deteriorates executive, linguistic, and functional capacity and is rapidly becoming more prevalent. In particular, AD leads to an inability to follow simple dialogues. In this paper, we annotate two databases of dyad conversations, that include individuals with AD, with trouble indicating behaviors (TIBs). We then extract lexical/syntactic and acoustic features from all utterances and identify those that are most indicative of TIB (which include speech rate and utterance likelihoods in a standard language model) and classify utterances as having TIB or not with up to 79.5% accuracy. This will allow us to build automated dialogue systems and assessment tools that are sensitive to confusion in people with AD.
Clock routing for high-performance ICs

Routing techniques for optimizing clock signals in small-cell (e.g., standard-cell, sea-of-gate, etc.) application-specific ICs (ASICs) are addressed. In previously reported works, the routing of a clock net has been performed using ordinary global routing techniques based on a minimum spanning or minimal Steiner tree that have little understanding of clock-routing problems. The authors present a novel approach to the clock-routing that all but eliminates clock skew and yields excellent phase delay results for a wide range of chip sizes, net sizes (pin count), minimum feature sizes, and pin distributions on both randomly created and standard industrial benchmarks. For certain classes of pin distributions a decrease in skew with an increase in net size was proven theoretically and observed experimentally. A two to three order magnitude reduction in skew when compared to a minimum rectilinear spanning tree was observed. <<ETX>>
Rare decay π 0 → e + e − as a sensitive probe of light CP-odd Higgs in NMSSM

We study the sensitivity of rare decay π → e+e− to the light CP-odd Higgs A01 in the NMSSM. It is shown that the 3. 3σ discrepancy between theoretical prediction and the recent KTeV measurement of B(π0 → e+e−) can be resolved with two narrow bands of NMSSM parameter space. For mA0 1 = 214.3 MeV, i.e., A01 as the state in Σ + → pμ+μ− decay found by HyperCP Collaboration, π → e+e− constrains |Xd| = 14.0 ± 2.4 which violates the CLEO upper limit |Xd| < 0.16 at 5σ significance. We find the combined constraints from Υ → γA01, aμ and π → e+e− point to a very light A01 with mA01 ≃ 135 MeV and |Xd| = 0.10 ± 0.08.
RELIABILITY APPROXIMATION FOR SOLID SHAFT UNDER GAMMA SETUP

This paper proposes a new approach for evaluating the reliability ofsystem where stress and strength are defined as complex function and whose reliability is not derivable through analytic techniques. The discretization was the earlier approach for reliability approximation. But this method fails to provide extent of error in terms of distributional parameters. This proposes method of offering bound based approach where reliability planner`s not only get a clear idea about the extent of error but also can manipulate in terms of design parameters.Here, this reliability approximation has been under taken under the Gamma setup which is widely used model for reliability analysis. Using our work, reliability planners will be able to obtain reliability in terms of design parameters during the early stages of product design and adjust it according to their requirements.