Miracle-dz/UniFAR-FTUs huggingface dataset:
A Social-Aware Smart Parking Application

The problem of finding parking spaces in big urban areas is one of the unsolved challenges of Smart Cities causing traffic congestion, increased carbon emission and time wasting. Network and sensor technologies available today allow to foresee Smart Cities equipped with applications able to provide real-time information on parking space availability, which can be used to assist motorists in looking for a parking space. In the present work, we propose a smart parking application that relies on the use of software agent negotiation as a mechanism to automate the selection of parking spaces according to the user preferences, but at the same time to take into account city needs in terms of areas motorists should avoid, or car pars occupancy at a specific time. Both city needs and user’s preferences are dynamic information managed by the negotiation mechanism at the time a user’s request is processed, so providing a dynamic-based selection of a parking space.
State Long-Term Care Ombudsmen’s Perceptions of Their Program’s Disaster Preparedness Roles and Readiness

A telephone survey of 43 state long-term care ombudsmen (LTCO) assessed their familiarity with relevant long-term care disaster resources, their provision of disaster aids and training to staff, and their perceived preparedness to lead their programs during public crises. Thirty-four directors (78%) reported being fairly well to fully prepared to support their local programs during public emergencies. However, ANOVAs showed that the 27 disaster experienced ombudsmen felt no better prepared to help their local paid and volunteer staff deal with public emergencies than disaster inexperienced ombudsmen. Those directly involved with emergency planners felt better prepared to help their substate staff to know where to start helping residents during a public crisis than ombudsmen who had no involvement with disaster planners. Familiarity with the Centers for Medicare and Medicaid Services Emergency Planning Checklist for LTC Ombudsmen (2007) was strongly associated with the ombudsmen’s familiarity with emergency resources and regulations.
Prosthetic rehabilitation of a patient with partial ear amputation using a self suspension technique

Background and Aim: Partial ear amputations are one of the forms of ear loss. A user-friendly design of prosthesis with safe suspension and an aesthetic appearance can be helpful to a patient who has lost part of their ear due to congenital absence or trauma. Prosthetic use has social and psychological effects on the patient and their family. The aim of this paper is to describe a technique of ear prosthesis fabrication with self suspension for these patients. Technique: To provide a snugly fitting prosthesis, the only parts of the residual ear that were covered by the prosthesis were accurately manufactured and reduced in thickness to 0.5–1 mm and 10 mm in width, so that the silicone extended over the stumps to provide adequate suspension. Discussion: This paper proposes the designing and constructing of a silicone ear prosthesis which had good suspension, low cost, was easy to use and was acceptable in appearance to the patient.
Comparison of Distributed and Co-located Antenna Diversity Schemes for the Coverage Improvement of VoWLAN Systems

This paper concerns the coverage range of a high quality voice over wireless local area network (VoWLAN) system based on the IEEE 802.11a standard. Techniques for enhancing the coverage range of each access point (AP) using co-located and distributed antenna diversity schemes are proposed and it is shown that the number of required APs and therefore the infrastructure cost may thus be reduced. Comparisons are made between the coverage range of the 802.11a and that of DECT (digital enhanced cordless telecommunication), and simulations and channel measurements devised for predicting the effect of diversity techniques on the range of APs are described. The results of two different measurement campaigns are presented, one with co-located antennas and the other with locally distributed antennas. The coverage enhancement gained within these scenarios by employing diversity techniques is thus deduced
Global linear convergence of an augmented Lagrangian algorithm for solving convex quadratic optimization problems

We consider an augmented Lagrangian algorithm for minimizing a convex quadratic function subject to linear inequality constraints. Linear optimization is an important particular instance of this problem. We show that, provided the augmentation parameter is large enough, the constraint value converges globally linearly to zero. This property is proven by establishing first a global radial Lipschitz property of the reciprocal of the dual function subgradient. It is also a consequence of the proximal interpretation of the method. No strict complementarity assumption is needed. The result is illustrated by numerical experiments and algorithmic implications are discussed.
Bit Interleaved Coded Multiple Beamforming

In this paper, we investigate the performance of bit-interleaved coded multiple beamforming (BICMB). We provide interleaver design criteria such that BICMB achieves full spatial multiplexing of min( N, M) and full spatial diversity of NM with N transmit and M receive antennas over quasi-static Rayleigh flat fading channels. If the channel is frequency selective, then BICMB is combined with orthogonal frequency division multiplexing (OFDM) (BICMB-OFDM) in order to combat ISI caused by the frequency-selective channels. BICMB-OFDM achieves full spatial multiplexing of min(N, M), while maintaining full spatial and frequency diversity of NML for an NtimesM system over L-tap frequency-selective channels when an appropriate convolutional code is used. Both systems analyzed in this paper assume perfect channel state information both at the transmitter and the receiver. Simulation results show that, when the perfect channel state information assumption is satisfied, BICMB and BICMB-OFDM provide substantial performance or complexity gains when compared to other spatial multiplexing and diversity systems.
An Event Data Extraction Method Based on HTML Structure Analysis and Machine Learning

This paper proposes an event data extraction method that extracts business event data, such as coupons, tickets, sales campaigns, etc., from a homepage or blog of shops and pushes them to users. Users no longer need to browse their favorite shops' homepage one by one. The method supports comprehensiveness and effectiveness for event data obtainment. This proposition works into two tasks: web page block segmentation and event data identification. The first task segments the web page into blocks. Each of the blocks includes information, such as title, notification, date, etc. Relating to event information. Many related works suppose web page block segmentation based on specific tags, vision, function, etc. In this research, we propose a web page block segmentation method based on HTML document structure analysis. The second task is used to identity event data from segmented blocks. We propose a method to implement event data identification based on machine learning. We show the results of a verification experiment. Experimental data are from 96 shops located in two underground shopping streets UNIMALL and ESCA, at a train station in the city of Nagoya (Japan). Because the event data identification depends on the Japanese language, this method is available for all the Japanese home page.
catena-Poly[[[bis(μ-4-hydroxybenzoato)bis[(4-hydroxybenzoato)manganese(II)]]-di-μ-4,4′-bipyridine] 4,4′-bipyridine disolvate tetrahydrate]

In the polymeric title complex, {[Mn(O2CC6H4-p-OH)2(C10H8N2)]·C10H8N2·2H2O}n, the MnII atom is coordinated in a distorted octahedral geometry defined by four O atoms from three different carboxylate ligands and two trans-N atoms from two 4,4′-bipyridine ligands. In the crystal structure, an extensive range of O—H⋯O and O—H⋯N hydrogen bonds link the complex and all non-coordinated molecules into a three-dimensional network.
G-Store: High-Performance Graph Store for Trillion-Edge Processing

High-performance graph processing brings great benefits to a wide range of scientific applications, e.g., biology networks, recommendation systems, and social networks, where such graphs have grown to terabytes of data with billions of vertices and trillions of edges. Subsequently, storage performance plays a critical role in designing a high-performance computer system for graph analytics. In this paper, we present G-Store, a new graph store that incorporates three techniques to accelerate the I/O and computation of graph algorithms. First, G-Store develops a space-efficient tile format for graph data, which takes advantage of the symmetry present in graphs as well as a new smallest number of bits representation. Second, G-Store utilizes tile-based physical grouping on disks so that multi-core CPUs can achieve high cache and memory performance and fully utilize the throughput from an array of solid-state disks. Third, G-Store employs a novel slide-cache-rewind strategy to pipeline graph I/O and computing. With a modest amount of memory, G-Store utilizes a proactive caching strategy in the system so that all fetched graph data are fully utilized before evicted from memory. We evaluate G-Store on a number of graphs against two state-of-the-art graph engines and show that G-Store achieves 2 to 8× saving in storage and outperforms both by 2 to 32×. G-Store is able to run different algorithms on trillion-edge graphs within tens of minutes, setting a new milestone in semi-external graph processing system.
Arabidopsis Sucrose Transporter AtSUC9. High-Affinity Transport Activity, Intragenic Control of Expression, and Early Flowering Mutant Phenotype1[OA]

AtSUC9 (At5g06170), a sucrose (Suc) transporter from Arabidopsis (Arabidopsis thaliana) L. Heynh. , was expressed in Xenopus (Xenopus laevis) oocytes, and transport activity was analyzed. Compared to all other Suc transporters, AtSUC9 had an ultrahigh affinity for Suc (K0.5 = 0.066 ± 0.025 mm). AtSUC9 showed low substrate specificity, similar to AtSUC2 (At1g22710), and transported a wide range of glucosides, including helicin, salicin, arbutin, maltose, fraxin, esculin, turanose, and α-methyl-d-glucose. The ability of AtSUC9 to transport 10 glucosides was compared directly with that of AtSUC2, HvSUT1 (from barley [Hordeum vulgare]), and ShSUT1 (from sugarcane [Saccharum hybrid]), and results indicate that type I and type II Suc transporters have different substrate specificities. AtSUC9 protein was localized to the plasma membrane by transient expression in onion (Allium cepa) epidermis. Using a whole-gene translational fusion to β-glucuronidase, AtSUC9 expression was found in sink tissues throughout the shoots and in flowers. AtSUC9 expression in Arabidopsis was dependent on intragenic sequence, and this was found to also be true for AtSUC1 (At1g71880) but not AtSUC2. Plants containing mutations in Suc transporter gene AtSUC9 were found to have an early flowering phenotype under short-day conditions. The transport properties of AtSUC9 indicate that it is uniquely suited to provide cellular uptake of Suc at very low extracellular Suc concentrations. The mutant phenotype of atsuc9 alleles indicates that AtSUC9 activity leads to a delay in floral transition.
Analysis of Progressive First-Failure-Censoring for Non-normal Model Using Competing Risks Data

Competing risks data usually arises in studies in which the death or failure of an individual or an item may be classified into one of T≥2 mutually exclusive causes. In this paper, we will study the competing risks model when the data is progressively first-failure-censored. Based on this type of censoring, we derive the maximum likelihood estimators (MLE's) for the unknown parameters. Approximate confidence intervals and two bootstrap confidence intervals are also proposed. The results in the cases of first-failure censoring, progressive Type II censoring, Type II censoring and complete sample are special cases. A real data set has been analyzed for illustrative purposes. Different methods have been compared using Monte Carlo simulations.
A Chandra Look at Five of the Broadest Double-Peaked Balmer Line Emitters

We study the 0.5-10 keV emission of a sample of five of the broadest double-peaked Balmer line emitters with Chandra. The Balmer lines of these objects originate close (within a few hundred gravitational radii) to the central black holes of the active galactic nuclei (AGNs), and their double-peaked profiles suggest an origin in the AGN accretion disk. We find that four of the five targets can be modeled by simple power-law continua with photon indices (1.6 ⩽ Γ ⩽ 1.8) typical of similar luminosity AGNs. One object, SDSS J0132–0952, shows evidence of ionized intrinsic absorption. The most luminous SDSS double-peaked emitter, SDSS J2125–0813, has either an unusual flat spectrum (Γ ∼ 1) or is also highly absorbed. It is the only double-peaked emitter for which no external illumination is necessary to account for the Balmer line emission. The strength of the Balmer line emission in the remaining four objects suggests that the total line flux likely exceeds the viscous energy that can be extracted locally from the accretion disk and external illumination is necessary. All five double-peaked emitters have unusually strong X-ray emission relative to their UV/optical emission, which is the likely source of the external illumination necessary for the production of the observed strong broad lines. On average about 30% of their bolometric luminosities are emitted between 0.5 and 10 keV. The spectral energy distributions of the five double-peaked emitters show the big blue bumps characteristic of radiatively efficient accretion flows. The Balmer line profiles, as well as the optical and X-ray fluxes of the double-peaked emitters, are highly variable on timescales of months to years in the AGN rest frame.
This Paper Is Included in the Proceedings of the 12th Usenix Symposium on Operating Systems Design and Implementation (osdi '16). Ebbrt: a Framework for Building Per-application Library Operating Systems Ebbrt: a Framework for Building Per-application Library Operating Systems

General purpose operating systems sacrifice per-application performance in order to preserve generality. On the other hand, substantial effort is required to customize or construct an operating system to meet the needs of an application. This paper describes the design and implementation of the Elastic Building Block Run-time (EbbRT), a framework for building per-application library operating systems. EbbRT reduces the effort required to construct and maintain library operating systems without hindering the degree of specialization required for high performance. We combine several techniques in order to achieve this, including a distributed OS architecture, a low-overhead component model, a lightweight event-driven runtime, and many language-level primitives. EbbRT is able to simultaneously enable performance specialization, support for a broad range of applications, and ease the burden of systems development. An EbbRT prototype demonstrates the degree of cus-tomization made possible by our framework approach. In an evaluation of memcached, EbbRT and is able to attain 2.08× higher throughput than Linux. The node.js runtime, ported to EbbRT, demonstrates the broad applicability and ease of development enabled by our approach .
T2R: System for Converting Textual Documents into RDF Triples

An important contribution of the Semantic Web is a new format of data representation called Resource Description Framework (RDF). In RDF, every piece of information is represented as a triple: subject-property-object. In general, subjects and objects can be shared between multiple RDF triples, and all triples can constitute a densely interlinked network. RDF becomes a very popular format of representing data on the web. As of September 2012, the last available data, more than 31 billions of triples exist on the web. In the paper, we propose a system - called T2R - for automatic acquisition of syntactic and semantic relations among terms from a plain text. These relations are expressed in the form of RDF triples. The proposed method is independent of any prior knowledge and domain specific patterns, and is applicable to any textual resources. The system implementing the approach is capable of identifying grammatical structure of an input sentence and analysing its semantics to generate meaningful RDF triples. We evaluate this approach by proving the quality of our results through case studies.
A dynamically formed hierarchical agent organization for a distributed content sharing system

The organization and collaborative protocols of agent societies are becoming increasingly important with the growing size of agent networks. Particularly, in a multi-agent based content sharing system, a flat, peer-to-peer (P2P) agent organization is not the most efficient organization for locating relevant agents for queries. This work develops and analyzes a hierarchical agent group formation protocol to build a hybrid organization for large-scale content sharing system as well as a content-aware distributed search algorithm to take advantage of such an organization. During the organization formation process, the agents manage their agent-view structures to form a hierarchical topology in an incremental fashion. The algorithm aims to place those agents with similar content in the same group. We evaluate the system performance based on TREC VLC 921 datasets. The results of the experiment demonstrate a significant increase in the cumulative recall ratio (CRR) measure compared to the flat agent organization and structure.
Uncovering the Molecular Secrets of Inflammatory Breast Cancer Biology: An Integrated Analysis of Three Distinct Affymetrix Gene Expression Datasets

Background: Inflammatory breast cancer (IBC) is a poorly characterized form of breast cancer. So far, the results of expression profiling in IBC are inconclusive due to various reasons including limited sample size. Here, we present the integration of three Affymetrix expression datasets collected through the World IBC Consortium allowing us to interrogate the molecular profile of IBC using the largest series of IBC samples ever reported. Experimental Design: Affymetrix profiles (HGU133-series) from 137 patients with IBC and 252 patients with non-IBC (nIBC) were analyzed using unsupervised and supervised techniques. Samples were classified according to the molecular subtypes using the PAM50-algorithm. Regression models were used to delineate IBC-specific and molecular subtype-independent changes in gene expression, pathway, and transcription factor activation. Results: Four robust IBC-sample clusters were identified, associated with the different molecular subtypes (P < 0.001), all of which were identified in IBC with a similar prevalence as in nIBC, except for the luminal A subtype (19% vs. 42%; P < 0.001) and the HER2-enriched subtype (22% vs. 9%; P < 0.001). Supervised analysis identified and validated an IBC-specific, molecular subtype-independent 79-gene signature, which held independent prognostic value in a series of 871 nIBCs. Functional analysis revealed attenuated TGF-β signaling in IBC. Conclusion: We show that IBC is transcriptionally heterogeneous and that all molecular subtypes described in nIBC are detectable in IBC, albeit with a different frequency. The molecular profile of IBC, bearing molecular traits of aggressive breast tumor biology, shows attenuation of TGF-β signaling, potentially explaining the metastatic potential of IBC tumor cells in an unexpected manner. Clin Cancer Res; 19(17); 4685–96. ©2013 AACR.
Hydrothermal Synthesis and Characterization of Cellulose-Carbonated Hydroxyapatite Nanocomposites in NaOH-Urea Aqueous Solution

Cellulose-carbonated hydroxyapatite (CHA) nanocomposites with CHA nanostructures dispersed in the cellulose matrix have been successfully synthesized using microcrystalline cellulose, CaCl2, and NaH2PO4 in NaOH–urea aqueous solution by hydrothermal method. The cellulose solution was previously prepared by the dissolution of microcrystalline cellulose in NaOH–urea aqueous solution. The effects of the hydrothermal heating time, the heating temperature, and cellulose concentration on the products were investigated. The XRD and FTIR results indicated that the obtained products were the cellulose–CHA nanocomposites. The SEM micrographs showed the CHA particles were dispersed in the cellulose matrix. The TGA and DTA indicated the cellulose content in the cellulose– CHA nanocomposites decreased with the decreasing raw cellulose. The size of CHA in nanocomposites decreased with the increasing preparation temperature. The products were characterized by X-ray powder diffraction (XRD), thermogravimetric analysis (TG), differential thermal analysis (DTA), Fourier transform infrared spectrometry (FTIR), and scanning electron microscopy (SEM). This type of cellulose/CHA nanocomposites would be expected to be useful as novel biomedical material.
Streaming Current and Streaming Potential Induced by Water Flow Through Porous Media

\ Return To: UTAH Wi\TER RE~:t,RCH L~BORi\TORY UT. ~·;}: ST.\TE t;i':lV'J1SITY LOG,\H, UT? H ~~1322 ,---------------Abaza, Mohamed M. 10; 1936; Streaming Current and Streaming Potential Induced by Water Flow Through Porous Media; Department of Civil Engineering; Dr. Calvin G. Clyde, major professor. This study was conducted to investigate analytically and experimentally the relationship between the rate of flow of water through porous material and the streaming current and streaming potential induced by this flow. The effect of dissolved salts in the permeating solution and the size of the soil particles was also investigated. Results and conclusions of this study are summarized as follows: 1. A modified procedure using the appropriate delay to . insure stead state conditions was used for the measurements of both streaming current and streaming potential. 2. The flow-pressure relationship was the same irrespective of the counter electro-osmosis (resulting from the streaming potential) and the change in salt concentration. Flows through the samples tested thus followed Darcy's Law. 3. The rate of flow (at a constant salt concentration and soil particle diameter) is directly proportional to the induced streaming current and streaming potential. Emperical equations in the form of I = Cl q and E = C2 q are suggested. 4. A decrease in both streaming current and streaming potential was observed with increase of salt concentrate in the permeating solution. Comparable results were obtained for simulated natural waters and NaCl and KCl solutions, provided that the conductance of the solution was taken as a parameter. 50 A decrease in current and potential was observed with increase of soil particle diameter. 6. a Relationships ~f the form ol= bN and ~= Clog N + dare suggested to express the effects of particle size and salt concentration on the streaming current and the streaming potential induced by the flow. 7. Induced streaming potential was found to increase with the decrease in temperature. 8. The analytical relationships developed together with the experimental work could probably be used as the basis of a method for measuring the rate of flow through porous material.