Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Inverted Indexing to Semantic WEB Service Discovery Search Model

The goal of this research was the design and implementation of the inverted indexing used into the semantic web service discovery search model (SWSDSM) in order to find the target services in a quick, accurate and efficient way. Recent research has demonstrated the potential benefits of the inverted indexing. The inverted indexing greatly accelerates the filtering of irrelevant atomic services. The model by making use of the inverted indexing show that it provides better performance on response time than the sequential matchmaking, and better recall rate than the model without the exploration of inverted indexing.
Lattice coding and decoding achieve the optimal diversity-multiplexing tradeoff of MIMO channels

This paper considers communication over coherent multiple-input multiple-output (MIMO) flat-fading channels where the channel is only known at the receiver. For this setting, we introduce the class of LAttice Space-Time (LAST) codes. We show that these codes achieve the optimal diversity-multiplexing tradeoff defined by Zheng and Tse under generalized minimum Euclidean distance lattice decoding. Our scheme is based on a generalization of Erez and Zamir mod-Lambda scheme to the MIMO case. In our construction the scalar "scaling" of Erez-Zamir and Costa Gaussian "dirty-paper" schemes is replaced by the minimum mean-square error generalized decision-feedback equalizer (MMSE-GDFE). This result settles the open problem posed by Zheng and Tse on the construction of explicit coding and decoding schemes that achieve the optimal diversity-multiplexing tradeoff. Moreover, our results shed more light on the structure of optimal coding/decoding techniques in delay-limited MIMO channels, and hence, open the door for novel approaches for space-time code constructions. In particular, 1) we show that MMSE-GDFE plays a fundamental role in approaching the limits of delay-limited MIMO channels in the high signal-to-noise ratio (SNR) regime, unlike the additive white Gaussian noise (AWGN) channel case and 2) our random coding arguments represent a major departure from traditional space-time code designs based on the rank and/or mutual information design criteria.
Sea Surface Roughness Estimation Using Signals from Multiple GNSS Satellites

Global Navigation Satellite System reflectometry (GNSS-R) has recently drawn significant attention since it can be employed in a range of applications including sea state, ocean altimetry, soil moisture measurement, and disaster (e.g. flooding, bushfire, and earthquake) monitoring. Although research on GNSS-R in the past two decades has made advances, there are no (or few) real applications of the technique. This is mainly because GNSSR is still not a mature technique, there are no satellite-borne missions, there are few systematic airborne experiments, and GNSS-R is not yet able to provide information with high enough resolution and reliability. The authors are investigating new approaches to improve the performance of the GNSSbased geophysical parameter estimation. This paper focuses on the sea surface roughness estimation through an analysis of the reflected signal power. In particular, the theoretical modelling of the sea wave and surface scattering is studied in detail. Solution-level and waveform-level combination techniques are proposed to improve the estimation accuracy through jointly processing the measurements of the reflected signals which are transmitted by multiple GNSS satellites. These combination methods also can be employed for other parameter estimation tasks. Airborne experiments were carried out by a UNSW-owned light aircraft over the sea off the coast of Sydney. The data were logged using the NordNav software receiver which has four front-ends so that the signals arriving at the LHCP (left hand circularly polarized) and RHCP (right hand circularly polarized) antennas could be recorded simultaneously. Both the delay waveforms and delay-Doppler waveforms were generated from the processing of the real data. Theoretical delay waveforms were also generated. The preliminary results confirm that the waveform-matching estimation method is not suited for scenarios where the flight height is below 500 m.
Some drastic improvements found in the analysis of routing protocol for the Bluetooth technology using scatternet

Bluetooth is a promising wireless technology that enables portable devices to form short-range wireless ad hoc networks. Unlike wireless LAN, the communication of Bluetooth devices follow a strict master slave relationship, that is, it is not possible for a slave device to directly communicate with another slave device even though they are within the radio coverage of each other. For inter piconet communication, a scatternet has to be formed, in which some Bluetooth devices have to act as bridge nodes between piconets. The Scatternet formed have following properties in which they are connected i.e every Bluetooth device can be reached from every other device, Piconet size is limited to eight nodes [1]. The author of this research paper have studied different type of routing protocol and have made efforts to improve throughput and reduce packet loss due to failure in the routing loop and increased mobility and improve the cohesive network structure, resolve the change topology conflicts [2], and a successful & efficient transfer of packet from source to destination.
Simplifying the Reconstruction of 3D Models using Parameter Elimination

Reconstructing large models from images is a significant challenge for computer vision, computer graphics, and related fields. In this paper, we present an approach for simplifying the reconstruction process by mathematically eliminating external camera parameters. This results in less parameters to estimate and in an overall significantly more robust and accurate reconstruction. We reformulate the problem in such a manner as to be able to identify invariants, eliminate superfluous parameters, and measure the performance of our formulation under various conditions. We compare a two-step camera orientation-free method, where the majority of the points are reconstructed using a linear equation set, and a camera position-and- orientation free method, using a degree-two equation set. Both approaches use a full perspective camera and are applied to synthetic and real-world datasets.
Observing Custom Software Modifications: A Quantitative Approach of Tracking the Evolution of Patch Stacks

Modifications to open-source software (OSS) are often provided in the form of "patch stacks" -- sets of changes (patches) that modify a given body of source code. Maintaining patch stacks over extended periods of time is problematic when the underlying base project changes frequently. This necessitates a continuous and engineering-intensive adaptation of the stack. Nonetheless, long-term maintenance is an important problem for changes that are not integrated into projects, for instance when they are controversial or only of value to a limited group of users. We present and implement a methodology to systematically examine the temporal evolution of patch stacks, track non-functional properties like integrability and maintainability, and estimate the eventual economic and engineering effort required to successfully develop and maintain patch stacks. Our results provide a basis for quantitative research on patch stacks, including statistical analyses and other methods that lead to actionable advice on the construction and long-term maintenance of custom extensions to OSS.
Sociolect-based community detection

“Sociolects” are specialized vocabularies used by social subgroups defined by common interests or origins. We applied methods to retrieve large quantities of Twitter data based on expert-identified sociolects and then applied and developed network-analysis methods to relate sociolect use to network (sub-) structure. We show that novel methods including consideration of node populations, as well as edge counts, provide substantially enhanced performance compared to standard assortativity. We explain these methods, show their utility in analyzing large corpora of social media data, and d iscuss their further extensions and potential applications.
Fast DCT domain filtering using the DCT and the DST

The use of the discrete sine transform (DST), together with the discrete cosine transform (DCT), for processing of compressed digital video and images, is introduced. Using this approach, a method for efficient spatial domain filtering, directly in the DCT domain, is developed and proposed. It is demonstrated that, in typical applications, the proposed algorithm is significantly more efficient than the conventional spatial domain method, and a recently-proposed advanced method. It assumes a separable kernel, but no symmetry is required. The method is applicable to any DCT based data compression standard, such as JPEG, MPEG, and H.261.
A-3 Non-Economic Licensing in OECD Countries : Selected Product Categories and Rationales

This study is part of a broad reflection aimed at learning more about the nature and scope of non-tariff measures. The policy examined is non-automatic import licensing. The objective of the report is to contribute to post-Doha WTO discussions, particularly on market access for non-agricultural goods and on trade facilitation.
Software tools for analysis and visualization of fMRI data

The tools needed for analysis and visualization of three‐dimensional human brain functional magnetic resonance image results are outlined, covering the processing categories of data storage, interactive vs batch mode operations, visualization, spatial normalization (Talairach coordinates, etc.), analysis of functional activation, integration of multiple datasets, and interface standards. One freely available software package is described in some detail. The features and scope that a generally useful and extensible fMRI toolset should have are contrasted with what is available today. The article ends with a discussion of how the fMRI research community can cooperate to create standards and develop software that meets the community's needs. © 1997 John Wiley & Sons, Ltd.
Optimal Centroid Estimation Scheme for MultiDimensional Clustering

High dimensional data values are processed and optimized with feature selection process. A feature selection algorithm is constructed with the consideration of efficiency and effectiveness factors. The efficiency concerns the time required to find a subset of features. The effectiveness is related to the quality of the subset of features. 3 dimensional data models are constructed with object, attribute and context information. Cluster quality is decided with domain knowledge and parameter setting requirements. CAT Seeker is a centroid-based actionable 3D subspace clustering framework. CAT Seeker framework is used to find profitable actions. Singular value decomposition, numerical optimization and 3D frequent itemset mining methods are integrated in CAT Seeker model. Singular value decomposition (SVD) is used to calculating and pruning the homogeneous tensor. Augmented Lagrangian Multiplier Method is used to calculating the probabilities of the values. 3D closed pattern mining is used to fetch Centroid-Based Actionable 3D Subspaces (CATS). Optimal centroid estimation scheme is used to improve the financial data analysis process. Intra cluster accuracy factor is used to fetch centroid values. Inter cluster distance is also considered in centroid estimation process. Dimensionality analysis is applied to improve the subspace selection process.
Fracture Toughness of Dental Composites Determined Using the Short-rod Fracture Toughness Test

Plane strainfracture toughness (KIC) has been evaluated for a number of commercially-available dental composites. A modified Short-rod Fracture Toughness (SRFT) specimen design has been used, enabling small specimens to be tested conveniently. The effect on KIC of aging in water at 37°C for seven days, one month, and six months has been determined for conventional, micro filled, and hybrid (coarse and fine filler particle-containing) composites. Our results suggest that aging for one month or more caused a reduction of KIC for the composites so aged. Comparison of the KIC values determined using the modified SRFT specimen with values obtained using more conventional specimen geometries gave good agreement, thereby suggesting the suitability of the small SRFT specimens for valid KIC determinations.
Synchronous Orthogonal DAB Spectrum Layout Scheme

With the analysis of the ICI (Inter-Channel Interference) in OFDM system， this paper proposed a high-efficiency spectrum utilization scheme for multichannel DAB signals, based on the theoretical value of ICI in mathematics. In this scheme, there is no RF spectrum reserved interval between the DAB channels. 1. Background
Thalamic Shape Abnormalities in Individuals with Schizophrenia and Their Nonpsychotic Siblings

Deficits in the volume of the thalamus have been observed in both individuals with schizophrenia and their nonpsychotic relatives. However, no studies to date have examined the underlying pattern of thalamic shape change in relatives of individuals with schizophrenia. This study examined the volume and shape of the thalamus in schizophrenia subjects, their siblings, and healthy control individuals. T1-weighted magnetic resonance scans were collected in a group of young subjects with schizophrenia (mean age, 23 years) and their nonpsychotic siblings (n = 25 pairs), and control subjects and their siblings (n = 40 pairs). Thalamic surfaces were generated using high-dimensional brain mapping. A canonical weighting function was derived from the contrast between schizophrenia and control subjects and then used to generate a canonical shape score for all subjects. Maps of the estimated surface displacement between groups were also created to visualize the thalamic shape differences between groups. The thalamic canonical scores of the siblings of the schizophrenia probands were intermediate between the probands and healthy control subjects. These siblings also displayed an intermediate degree of the inward surface deformation of the anterior and posterior thalamus that was present between schizophrenia probands and controls. There was no main effect of group status on thalamic volume and no significant correlations of the structural measures with measures of psychopathology or cognitive function. Our results indicate that thalamic shape abnormalities are present in relatively young individuals with schizophrenia and their siblings. Inward deformation of the anterior and posterior regions of the thalamus represents a potential neuroanatomical endophenotype of schizophrenia.
Extreme-Speed Scalable Direct Sparse Solvers for Heterogeneous Supercomputing –An Enhancement to the LAPACKrc Library

At the core of DOE‘s scientific priorities is a broad need for more computing power and supercomputing infrastructure. An estimated 70% of computing cycles spent globally in the HPC ecosystem are used to solve large-scale linear algebra computational problems. Linear algebra is at the core and constitutes the primary bottleneck of important DOE research problems in fusion energy, nuclear accelerator modelling, circuit simulation, and weather modelling, among other research challenges. As part of an ambitious research program cofunded by DOE, NASA, and the Department of Defense, Accelogic is spearheading the development of LAPACKrc, a groundbreaking family of FPGA-based linear algebra solvers able to achieve speedups larger than 100x with a single chip (―rc‖ stands for ―reconfigurable computing,‖ a radically new computing paradigm that is changing the way high performance computing is done today). Recent efforts on the LAPACKrc research program have focused on producing FPGA-based direct sparse solvers—a key functionality still missing in the current LAPACKrc solver suite. Our latest direct sparse solver prototype demonstrates a speedup of up to 125x (compared against state-of-the-art CPU direct sparse solvers), which provides support for broad-based science/engineering breakthroughs.
Outcomes in patients on home haemodialysis in England and Wales, 1997-2005: a comparative cohort analysis.

BACKGROUND The UK national policy promotes expansion of home haemodialysis, but there are no recent data on characteristics and outcomes of a national home haemodialysis population. METHODS We compared incident home haemodialysis patients in England and Wales (n = 225, 1997-2005) with age- and sex-matched incident peritoneal dialysis, hospital haemodialysis and satellite haemodialysis patients with follow-up until 31 December 2006. Cox regression analyses included time-dependent changes of wait-listing for transplantation (a proxy for health status), start of home haemodialysis and transplantation. RESULTS There was a median delay of 12 months between starting renal replacement therapy (RRT) and home haemodialysis. During that first year of RRT, > 50% of home haemodialysis patients were wait-listed for kidney transplantation; hospital haemodialysis patients had a lower rate of wait-listing over time [hazard ratio (HR) 0.56, 95% confidence interval (CI) 0.44-0.70; P < 0.001]. In crude analyses, there was a marked survival advantage of home haemodialysis patients compared with other modalities (log-rank P-value < 0.001). In adjusted analyses, being on home haemodialysis yielded a long-term survival benefit compared with peritoneal dialysis (HR 0.61, 95% CI 0.40-0.93), and a borderline advantage compared with hospital haemodialysis (HR 0.68, 95% CI 0.44-1.03). There was no evidence of an advantage compared with satellite haemodialysis (HR 0.94, 95% CI 0.65-1.37). CONCLUSIONS Home haemodialysis patients have better survival compared with other dialysis modalities. Some of this crude survival advantage is due to selection of a healthier patient cohort as evidenced by higher transplant wait-listing rates. The advantage over peritoneal dialysis persisted after adjustment for wait-listing and transplantation over time.
The Kaspi Rate-Distortion Problem with Encoder Side-Information: Binary Erasure Case

We consider the problem of compressing a binary symmetric i.i. d. source stream for two decoders, one of which has access to side-information. Kaspi found the rate-distortion tradeoff for this problem for general discrete memoryless sources for the two cases with and without encoder side-information. We focus on the case in which the encoder has access to side-information. We assume that the source has a symmetric Bernoulli distribution and that the side-information is the output of an erasure channel whose input is the source stream. We explicitly solve the optimization problem for this setup. We also show that the Wyner-Ziv rate-distortion function and the conditional rate-distortion function coincide for general discrete memoryless sources when the side-information is of the erasure type.
CAHIER DU LAMSADE 278 Octobre 2008 Efficient approximation of MIN SET COVER by “ low-complexity ” exponential algorithms

We study approximation of min set cover combining ideas and results from polynomial approximation and from exact computation (with non-trivial worst case complexity upper bounds) for NP-hard problems. We design approximation algorithms for min set cover achieving ratios that cannot be achieved in polynomial time (unless problems in NP could be solved by slightly super-polynomial algorithms) with worst-case complexity much lower (though super-polynomial) than those of an exact computation.
Leakage control for deep-submicron circuits

High leakage current in deep submicron regime is becoming a significant contributor to power dissipation of CMOS circuits as threshold voltage, channel length, and gate oxide thickness are scaled every technology generation. Consequently, the identification and modeling of different leakage components is very important for estimation and reduction of leakage power, especially for low power applications. This paper considers various transistor intrinsic leakage mechanisms including weak inversion, drain-induced barrier lowering, gate-induced drain leakage, gate oxide tunneling, and bad-to-band-tunneling and explores different techniques to reduce leakage power consumption for scaled technologies.
Health-related quality of life assessment among patients with inflammatory bowel diseases after surgery – review

Aim of the work was to review systematically the published literature addressing whether quality of life (QoL) and health-related QoL (HRQoL) are influenced by surgery among patients with inflammatory bowel disease (IBD). Electronic databases and published articles were searched to identify relevant studies published in the years 1990–2015. Then, a multistep selection was undertaken to identify articles that met specific selection criteria, such us specific key-words (IBD, HRQoL, ulcerative colitis (UC), Crohn’s disease (CD), and surgery), and the population was assessed (studies concerning patients < 18 years old were excluded). The review included 27 studies that were evaluated in the context of the influence of surgery on QoL and HRQoL. Concluding, with the increase in the incidence of IBD, monitoring of QoL is an important indicator of the health effects at each stage of the surgical treatment.
Malaria-associated atypical memory B cells exhibit markedly reduced B cell receptor signaling and effector function

Protective antibodies in Plasmodium falciparum malaria are only acquired after years of repeated infections. Chronic malaria exposure is associated with a large increase in atypical memory B cells (MBCs) that resemble B cells expanded in a variety of persistent viral infections. Understanding the function of atypical MBCs and their relationship to classical MBCs will be critical to developing effective vaccines for malaria and other chronic infections. We show that VH gene repertoires and somatic hypermutation rates of atypical and classical MBCs are indistinguishable indicating a common developmental history. Atypical MBCs express an array of inhibitory receptors and B cell receptor (BCR) signaling is stunted in atypical MBCs resulting in impaired B cell responses including proliferation, cytokine production and antibody secretion. Thus, in response to chronic malaria exposure, atypical MBCs appear to differentiate from classical MBCs becoming refractory to BCR-mediated activation and potentially interfering with the acquisition of malaria immunity. DOI: http://dx.doi. org/10.7554/eLife.07218. 001
NFS Virtualization Badhri Varanasi

We present the design, implementation and evaluation of a Virtualized NFS. In the current implementation of NFS, clients need to be aware of the physical distribution of servers and the locations of files they wish to access. Changes in server state cannot be performed transparent to clients and consequently issues like load balancing become non-trivial. We address this problem by ’virtualizing NFS’ i.e. by providing an interface that unifies decentralized storage. We make use of the Click modular router to implement our interface,the c-Proxy. The cProxy presents to NFS clients a unified shared file volume with scalable bandwidth and capacity. We achieve an efficient virtualization by processing NFS packets within the kernel. Our results show that our design incurs minimal overhead, while transparently virtualizing NFS.