Miracle-dz/UniFAR-FTUs huggingface dataset:
Decentralized optimal control in shared resource pools of video service nodes

Tri-network convergence as one of the basic feature, the new generation of national information infrastructure is the major strategic decision to realize the leaping development of national information industry, modern service industry and traditional industries. Business needs of large-scale video concurrent access and user-oriented providing of high-quality services will be the new challenges of application access system in the future tri-network convergence. In the domain of video service network in tri-network convergence, we focus on the problem of optimal resource allocation of RSPE (Real-time Service Provide Equipment) nodes in shared resource pools. In this paper, we propose a fully distributed optimal control solution, named RSPE-DOC. RSPE-DOC treats underlying physical servers as a shared resource pool, and RSPE nodes as resource consumers. RSPE-DOC implements the information exchanging strategy and distributed optimization method among RSPE nodes, leading to a distributed optimal control framework. Experimental results indicate that RSPE-DOC is able to ensure the convergence of dissemination process and find the optimal resource allocation, if the RSPE nodes are not changed substantially in resource management process.
Localization with beacon based support vector machine in Wireless Sensor Networks

Recent developments in radio technology and processing systems, Wireless Sensor Networks (WSNs) are tremendously being used to perform an assortment of tasks from their atmosphere. Localization plays the most important task in WSNs. Accuracy is the one of the major problems facing localization. In this paper, we propose an improved localization algorithm based on the learning concept of support vector machine (SVM). In SVM classification the finite size of grid cells offer the localization accuracy. The localization error using the proposed algorithm is calculated and compared with basic SVM and fuzzy logic. Simulation result demonstrates that the improved support vector machine can effectively reduce the localization error and thus achieve the objective of better accuracy.
BOLT: realizing high throughput power line communication networks

Power line communications (PLC) offer an immediate means of providing high bandwidth connectivity in settings where there is no in-built network infrastructure. While there is recent work on understanding physical and MAC layer artifacts of PLC, its applicability and performance in multi-flow settings is not well understood. We first undertake an extensive measurement study that sheds light on the properties of PLC that significantly affect performance in multi-flow settings. Using the understanding gained, we design BOLT, a framework that adopts a learning-based approach to effectively manage and orchestrate flows in a PLC network. BOLT is flexible and is agnostic to standards; it can be used to implement scheduling algorithms that target different performance goals. We implement BOLT on three different testbeds using off-the-shelf PLC adapters and showcase its ability to effectively manage flows, delivering several folds throughput improvement over state-of-the-art solutions.
A Time Machine for Information: Looking Back to Look Forward

Historical data (also called long data) holds the key to understanding when facts are true. It is through long data that one can understand the trends that have developed in the past, form the audit trails needed for justification, and make predictions about the future. For searching, there is also increasing interest to develop search capabilities over long data. In this article, we first motivate the need to develop a time machine for information that will help people "look back" so as to "look forward". We will overview key ideas on three components (extraction, linking, and cleaning) that we believe are central to the development of any time machine for information. Finally, we conclude with our thoughts on what we believe are some interesting open research problems. This article is based on the material presented in a tutorial at VLDB 2015.
Role for Functional SOD2 Polymorphism in Pulmonary Arterial Hypertension in a Chinese Population

The superoxide dismutase 2 (SOD2) gene is a pivotal part of oxidative stress system, which could induce the onset of pulmonary arterial hypertension (PAH). In this study, we quantified the influence of a SOD2 exonic polymorphism (rs4880) on PAH susceptibility. We genotyped this single nucleotide polymorphism (SNP) by TaqMan, and evaluated its association with PAH susceptibility in a case-control study of 460 patients and 530 controls in China. There were significant differences between PAH cases and controls in both CC and TC+CC genotypes (p = 0.013 and p = 0.010, respectively). Furthermore, the number of variant alleles followed a dose-response manner (p trend was 0.023). Besides, the mRNA level and protein expression also indicated that the C allele of this variant decreased the expression of SOD2 gene (p = 0.004 in mRNA level and p = 0.012 in protein level) after the transfection of plasmids containing the different genotype of rs4480. There is significant association between SOD rs4880 polymorphism and the PAH susceptibility, and this polymorphism influenced PAH susceptibility by altering the expression of SOD2.
A Review of Literature of Initial Trust in E-Services: The Case of Internet Banking Services in Jordanian Context

Trust in prior marketing research is considered to be the milestone in the dealing between two entities. Likewise, information systems’ researchers considered customer’s trust in e-Services to be an essential element in accepting such services. In the case of internet banking services (IBS) in the Jordanian context, the early stage of trust will be under investigation since the majority of people are not adopters for IBS. The main aim of this paper is to identify, define, and categorise the factors that influence Jordanian’s initial trust in IBS. A systematic qualitative literature survey approach has been adopted and reports the following categories: firstly, trust bases category includes: personality-based trust, cognition-based trust (Reputation), institutional-based trust (structural assurance); secondly, Information Technology category includes website factors (security, privacy, and general online experiences); thirdly, social factors (national culture); finally, diffusion of innovation factors: Relative advantages and compatibility. The selection of the previous factors depends on the user characteristics (no prior experience in IBS), and context characteristics (national culture of the Jordanian context). These factors can be useful for increasing organisations’ (i.e. banks) understanding and addressing customer’s initial trust in IBS in the Jordanian context.
High Capacity Reversible Watermarking

This paper proposes a high capacity low cost reversible watermarking scheme. Image is partitioned in pairs of pixels. In order to satisfy a congruence equation, the pairs obeying some simple constraints are transformed. By adding some correction data, the not transformed pixel pairs are enforced to obey the same equation, too. The payload and the correction data are embedded into the transformed pixels by simple additions. After watermark insertion, only the not transformed pixel pairs satisfy the congruence equation. This allows transformed pairs localization, payload and correction data extraction and, finally, exact recovery of the original image. The proposed scheme can provide, in a single pass, bit-rates greater than 1 bit per pixel without any additional data compression.
Model-driven development of interactive and integrated 2D and 3D user interfaces using MML

While there is a lot of research done in the area of 2D or 3D user interfaces (UIs) construction, comparatively little is known about systematic approaches to designing and developing integrated 2D/3D UIs and applications. The previously developed Multimedia Modeling Language (MML) provides a top down approach for a model driven development of 2D/3D UIs and applications. The MML Structure Model and Media Components provide support for including X3D based content and automatic generation of application skeletons. We use a work instruction manual for a woodchipper as an example to illustrate how to apply MML. We discuss the ramifications of this approach and opportunities for some improvements.
Parent-child interaction and childhood post-traumatic stress: A prospective study.

There is to date no comprehensive theoretical account of how PTSD develops in children. Theories of adult PTSD (e.g. Brewin, Dalgleish and Joseph, 1996, Ehlers and Clarke, 2000) exist yet their applicability to childhood PTSD is somewhat limited, as they fail to account for the developmental level of the child and the child's context (dependency on their parent/s). Previous research in the field has demonstrated the influential role of family risk factors. Further, parent-child interaction has been found to be influential in many other childhood mental health problems, though has not been studied in children who have experienced a trauma. The present study aims to investigate the influence of parent-child interaction on the development of PTSD using observational methods. The current sample of children presenting to A E following a traumatic event was observed completing two interaction tasks with their primary caregiver within four weeks of the event. The tasks consisted of a difficult anagram task and a discussion task about the trauma. Both interactions were analysed and coded for warmth/criticism and over-involvement. The discussion task was also analysed for parental avoidance, help in re-appraising the child's sense of threat, and parental management of fear. The parents and children were re-assessed at a 3-month follow up. Parental avoidance, poor management of fear and little help with reappraising threat were strongly associated with child PTSD symptoms at Time 1. Warm/critical and over-involved parenting behaviours were not significantly associated with child PTSD symptoms. None of the parenting behaviours significantly affected the rate of change of the child's symptoms, yet there was a trend between parental involvement in the discussion task and change in child PTSD symptoms over time.
Ultra-Compact High-Linearity High-Power Fully Integrated DC–20-GHz 0.18-$\mu{\hbox {m}}$ CMOS T/R Switch

A fully integrated ultra-broadband transmit/receive (T/R) switch has been developed using nMOS transistors with a deep n-well in a standard 0.18-mum CMOS process, and demonstrates unprecedented insertion loss, isolation, power handling, and linearity. The new CMOS T/R switch exploits patterned-ground-shield on-chip inductors together with MOSFET's parasitic capacitances to synthesize artificial transmission lines, which result in low insertion loss over an extremely wide bandwidth. Negative bias to the bulk or positive bias to the drain of the MOSFET devices with floating bulk is used to reduce effects of the parasitic diodes, leading to enhanced linearity and power handling for the switch. Within dc-10, 10-18, and 18-20 GHz, the developed CMOS T/R switch exhibits insertion loss of less than 0.7, 1.0, and 2.5 dB and isolation between 32-60, 25-32, and 25-27 dB, respectively. The measured 1-dB power compression point and input third-order intercept point reach as high as 26.2 and 41 dBm, respectively. The new CMOS T/R switch has a die area of only 230 mumtimes250 mum. The achieved ultra-broadband performance and high power-handling capability, approaching those achieved in GaAs-based T/R switches, along with the full-integration ability confirm the usefulness of switches in CMOS technology, and demonstrate their great potential for many broadband CMOS radar and communication applications
Linking reduction in measured MIMO capacity with dominant-wave propagation

The channel capacity of an 8 /spl times/ 8 multiple-input multiple-output (MIMO) system was measured in a rich-scattering office scenario at 5.2 GHz. It was found that there exist remarkable receive positions and directions within a single office, where a strong reduction in MIMO capacity can be observed. Another reduction is due to different transmit array alignment. Investigating the directions-of-departure and direction-of-arrival, it was shown that these effects are related to dominant-wave propagation.
FOA: an XSL-FO Authoring Tool

XML, XSL, XSL-FO, FO, authoring, FOA, XSL-T, presentation, rendering, document FOA (Formatting Object Authoring) is an authoring tool that applies rich styling to XML content. It allows the styling to be re-used across multiple documents. It also allows the author to build or import a library of style components. It is based on XSL-FO, the W3C-defined markup language, whose aim is to add rich styling to XML content, especially for paginated documents.
Immediate sensitivity to structural constraints in pronoun resolution

Real-time interpretation of pronouns is sometimes sensitive to the presence of grammatically-illicit antecedents and sometimes not. This occasional sensitivity has been taken as evidence that structural constraints do not immediately impact the initial antecedent retrieval for pronoun interpretation. We argue that it is important to separate effects that reflect the initial antecedent retrieval process from those that reflect later processes. We present results from five reading comprehension experiments. Both the current results and previous evidence support the hypothesis that agreement features and structural constraints immediately constrain the antecedent retrieval process for pronoun interpretation. Occasional sensitivity to grammatically-illicit antecedents may be due to repair processes triggered when the initial retrieval fails to return a grammatical antecedent.
Effect of Hepatitis C Infection on HIV-Induced Apoptosis

Background Hepatitis C virus (HCV) coinfection was reported to negatively affect HIV disease and HIV infection has a deleterious effect on HCV-related liver disease. However, despite common occurrence of HCV/HIV coinfection little is known about the mechanisms of interactions between the two viruses. Methods We studied CD4+ and CD8+ T cell and CD19+ B cell apoptosis in 104 HIV-positive patients (56 were also HCV-positive) and in 22 HCV/HIV-coinfected patients treated for chronic hepatitis C with pegylated interferon and ribavirin. We also analyzed HCV/HIV coinfection in a Daudi B-cell line expressing CD4 and susceptible to both HCV and HIV infection. Apoptosis was measured by AnnexinV staining. Results HCV/HIV coinfected patients had lower CD4+ and CD8+ T cell apoptosis and higher CD19+ B cell apoptosis than those with HIV monoinfection. Furthermore, anti-HCV treatment of HCV/HIV coinfected patients was followed by an increase of CD4+ and CD8+ T cell apoptosis and a decrease of CD19+ B cell apoptosis. In the Daudi CD4+ cell line, presence of HCV infection facilitated HIV replication, however, decreased the rate of HIV-related cell death. Conclusion In HCV/HIV coinfected patients T-cells were found to be destroyed at a slower rate than in HIV monoinfected patients. These results suggest that HCV is a molecular-level determinant in HIV disease.
bSLAM navigation of a Wheeled Mobile Robot in presence of uncertainty in indoor environment

In this paper, we propose a behavior-based Simultaneous Localization and Map building (bSLAM) approach to deal with the following navigation problem of a Wheeled Mobile Robot (WMR): the behavior fusion, the uncertainty from measurements and modeling and the WMR control. Considering the multiple control objects, i.e., goal approaching and navigation safety, the behavior-based fuzzy path planner is established to deal with the behavior fusion problem by means of different interpretation of the environment from sensing system. Typically, the uncertainty of measurements together with the incremental error of the WMR self-localization is classified as the SLAM problem. In this research, we further consider the modeling uncertainty comparing with the SLAM problem so that the reduced-order SLAM is theoretically obtained via the variation approach in cope with the slipping and sliding effects. Therefore, the uncertainties are able to be effectively reduced at any motion time instead the time that the WMR revisits the well-known landmark in the SLAM algorithm. The effectiveness and the performance of the proposed bSLAM are verified via experiment. Finally, the results compared with SLAM and bSLAM approach show the error covariance is averagely diminished 26.60% in the complex environment.
Coding for interactive communication

Let the input to a computation problem be split between two processors connected by a communication link; and let an interactive protocol /spl pi/ be known, by which on any input, the processors can solve the problem using no more than T transmissions of bits between them, provided the channel is noiseless. We study the following question: if in fact there is some noise on the channel, what is the effect upon the number of transmissions needed in order to solve the communication problem reliably?
Text Processing for Classification

These days textual information becomes increasingly available through the Web. This makes text an attractive resource from which to mine knowledge. The major difficulty in mining textual data is that the information is unstructured. Hence the data has to be preprocessed first so as to obtain some form of structured data which is amenable to data mining techniques. This paper focuses on this preprocessing step. That is, methods and techniques are presented enabling the use of text as an information source to solve classification problems. Novel text processing schemes based on keyword record counting are proposed. The classification performance achieved by the various preprocessing techniques are measured and compared on an extremely challenging problem, the forecasting of stock market movements. The prediction accuracy achieved by the best text processing method is very close to what can be expected by human experts.
Ship Tracking Using Background Subtraction and Inter-Frame Correlation

Ship detection and tracking is an essential requirement for maritime surveillance systems. Background subtraction is used for detecting moving objects in video images. Then the moving targets are segmented by an improved method using extended-maxima transform with an adaptive threshold. Furthermore, a compensation methods is proposed so as not to miss target information due to a gradual change when target in or out of the field of view. And then the target will be tracked with an inter-frame correlation method. Finally, the centroids of the target region in each frame are obtained to perform a ship tracking. The experimental results demonstrate that the proposed method is very efficient. The approach could be applied to automatic video monitoring in sea port security, maritime transportation, and ocean engineering managements.
Rapid Molecular Detection of Extrapulmonary Tuberculosis by the Automated GeneXpert MTB/RIF System

ABSTRACT In total, 521 nonrespiratory specimens (91 urine, 30 gastric aspirate, 245 tissue, 113 pleural fluid, 19 cerebrospinal fluid [CSF], and 23 stool specimens) submitted to the German National Reference Laboratory for Mycobacteria (NRL) from May 2009 to August 2010 were comparatively investigated with the new molecular-based GeneXpert MTB/RIF (Xpert) assay system and conventional liquid and solid culture methods. Twenty (3.8%) of the 521 specimens gave no interpretable result. Whereas the sensitivity of the Xpert assay with tissue specimens was 69.0% (20 out of 29 culture-positive cases detected), 100% sensitivity was found with the urine and stool specimens. The combined sensitivity and specificity of the Xpert assay were calculated to be 77.3% and 98.2%, respectively.
Ectopic Fat Deposition on Insulin Sensitivity: Correlation of Hepatocellular Lipid Content and M Value

Purpose. This study aimed to explore the relationship among insulin sensitivity and ectopic fat depots in participants with different glucose status. Methods. Fifty-nine men and women were enrolled in this study: 29 with normal glucose tolerance (NGT), 17 with impaired glucose tolerance (IGT), and 13 with type 2 diabetes mellitus (T2DM). All participants underwent a hyperinsulinemic-euglycemic clamp to assess the insulin sensitivity index (M value) and magnetic resonance imaging to measure the hepatocellular lipid content (HCL), skeletal muscle fat content including intramyocellular lipid (IMCL) and extramyocellular lipid (EMCL) of tibialis anterior (ta), and soleus muscle (sol). Results. The M value of NGT group was higher than those of IGT and T2DM groups (P = 0.001). Participants with T2DM had the highest HCL and IMCL (ta) compared with those in NGT and IGT groups (P = 0.001). The M value had an inverse relationship with HCL (r = −0.789, P = 0.001), IMCL (sol) (r = −0.427, P = 0.002), and IMCL (ta) (r = −0.419, P = 0.002). Stepwise linear regression analysis showed that HCL (standardized β = −0.416; P = 0.001) had an independent relationship with M value. Conclusions. Hepatocellular lipid content deposition happens earlier than skeletal muscle fat deposition. HCL is an independent risk factor for insulin resistance and may be used to evaluate the risk of developing T2DM as a noninvasive marker of insulin sensitivity index.
Exploiting Node Connection Regularity for DHT Replication

Distributed Hash-Tables (DHTs) provide an efficient way to store objects in large-scale peer-to-peer systems. To guarantee that objects are reliably stored, DHTs rely on replication. Several replication strategies have been proposed in the last years. The most efficient ones use predictions about the availability of nodes to reduce the number of object migrations that need to be performed: objects are preferably stored on highly available nodes. This paper proposes an alternative replication strategy. Rather than exploiting highly available nodes, we propose to leverage nodes that exhibit regularity in their connection pattern. Roughly speaking, the strategy consists in replicating each object on a set of nodes that is built in such a way that, with high probability, at any time, there are always at least $k$ nodes in the set that are available. We evaluate this replication strategy using traces of two real-world systems: eDonkey and Skype. The evaluation shows that our regularity-based replication strategy induces a systematically lower network usage than existing state of the art replication strategies.
Electromagnetic Analysis on Elliptic Curve Cryptosystems: Measures and Counter-Measures for Smart Cards

Although the possibility of attacking elliptic curve cryptosystems (ECC) by power analysis repeatedly appears in research papers, there were few electromagnetic analysis papers and conclusive experiments where actual elliptic curve cryptosystems were successfully attacked and prevented. In this paper we describe electromagnetic (EM) analysis experiments conducted on 3 implementations of elliptic curve cryptosystems. They are respectively binary, double-and-add-always and Montgomery methods of point multiplication. The experimental results indicate that using simple electromagnetic analysis (SEMA), the complete key material could be successfully retrieved from binary method, but not from double-and-add-always and Montgomery method.