Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Genetic Susceptibility to Systemic Lupus Erythematosus on Placental Malaria in Mice

Severe malaria, including cerebral malaria (CM) and placental malaria (PM), have been recognized to have many of the features of uncontrolled inflammation. We recently showed that in mice genetic susceptibility to the lethal inflammatory autoimmune disease, systemic lupus erythematosus (SLE), conferred resistance to CM. Protection appeared to be mediated by immune mechanisms that allowed SLE-prone mice, prior to the onset of overt SLE symptoms, to better control their inflammatory response to Plasmodium infection. Here we extend these findings to ask does SLE susceptibility have 1) a cost to reproductive fitness and/or 2) an effect on PM in mice? The rates of conception for WT and SLE susceptible (SLEs) mice were similar as were the number and viability of fetuses in pregnant WT and SLEs mice indicating that SLE susceptibility does not have a reproductive cost. We found that Plasmodium chabaudi AS (Pc) infection disrupted early stages of pregnancy before the placenta was completely formed resulting in massive decidual necrosis 8 days after conception. Pc-infected pregnant SLEs mice had significantly more fetuses (∼1.8 fold) but SLE did not significantly affect fetal viability in infected animals. This was despite the fact that Pc-infected pregnant SLEs mice had more severe symptoms of malaria as compared to Pc-infected pregnant WT mice. Thus, although SLE susceptibility was not protective in PM in mice it also did not have a negative impact on reproductive fitness.
Performance of various combining techniques and adaptive coded modulation in millimeter-wave fixed cellular systems under the impact of rain attenuation in Indonesia

The significant propagation factor effecting the link availability and channel capacity of millimeter-wave fixed cellular systems operating at 30 GHz frequencies is rain attenuation. Adaptive coded modulation and combining techniques are methods to increase link availability and channel capacity for these systems. The aim of this paper is to present the performance evaluation of these systems. The results of simulation study by using the rain fading compensation method show that performance of the systems are guaranteed to have signal reception quality with maximum BER 10−6 in 2 km link length. The performance also shows that the link availability is 99.99% by using both selection combining (SC) and maximal ratio combining (MRC). The results also show that the channel capacities are 3.648 bps/Hz for SC and 3.653 bps/Hz for MRC. Additionally, the simulation study shows that diversity gain of MRC is better approximately 1 dB than SC at 0.01% outage probability.
Markerless human motion capture and pose recognition

In this paper, we present an approach to capture markerless human motion and recognize human poses. Different body parts such as the torso and the hands are segmented from the whole body and tracked over time. A 2D model is used for the torso detection and tracking, while a skin color model is utilized for the hands tracking. Moreover, 3D location of these body parts are calculated and further used for pose recognition. By transferring the 2D and 3D coordinates of the torso and both hands into normalized feature space, simple classifiers, such as the nearest mean classifier, are sufficient for recognizing predefined key poses. The experimental results show that the proposed approach can effectively detect and track the torso and both hands in video sequences. Meanwhile, the extracted feature points are used for pose recognition and give good classification results of the multi-class problem. The implementation of the proposed approach is simple, easy to realize, and suitable for real gaming applications.
Updating Semantic Web Data

The basic data model for the Semantic Web is the Resource Description Framework (RDF). From a data management point of view, it resembles a lightweight knowledge base. In this paper we address updates in RDF. It is known that the semantics of updates for data models becomes unclear when the model turns, even slightly, more general than a simple relational structure. Viewing RDF as a knowledge base, and using the formalism of Katsuno-Mendelzon, we define semantics for updates in RDF. Then we show that RDF as a representation system does not have enough expressiveness to state updates satisfying the Katzuno-Mendelzon framework. Hence, we study the behavior of classical update operations in the framework of RDF, and propose versions of such updates based on approximations. Finally, we study how to compute these operations, which for erase are particularly complex, and give complexity bounds for them.
Zitterbewegung (trembling motion) of electrons in narrow-gap semiconductors

The theory of trembling motion (Zitterbewegung (ZB)) of charge carriers in various narrow-gap materials is reviewed. Nearly free electrons in a periodic potential, InSb-type semiconductors, bilayer graphene, monolayer graphene and carbon nanotubes are considered. General features of ZB are emphasized. It is shown that, when the charge carriers are prepared in the form of Gaussian wavepackets, ZB has a transient character with a decay time of femtoseconds in graphene and picoseconds in nanotubes. Zitterbewegung of electrons in graphene in the presence of an external magnetic field is mentioned. A similarity of ZB in semiconductors to that of relativistic electrons in a vacuum is stressed. Possible ways of observing trembling motion in solids are mentioned.
Prevalence of Donor-Specific Antibodies After Pediatric Liver Transplantation: A Meta-Analysis.

Our recent study showed that donor-specific HLA antibodies (DSAs)were common after pediatric liver transplantation (LT). The aim was to conduct a meta-analysis of DSA prevalence after pediatric LT. PubMed was used (as of March 1, 2016) with a search strategy:Human leucocyte antigen antibod*ORHLAantibod* OR donor-specific antibod*OR donor specific antibod*OR DSAsAND liver transplantationAND (pediatricOR children). Studies published before January 1, 2000, were excluded based on a rationale for HLA antibody detection technology advancement. References were screened, and data were extracted from the eligible studies based on 3 criteria: (1) patients underwent LT <18 years of age, (2) prevalence of DSAs was evaluated after LT, and (3) patients were on some form of immunosuppression at the time of DSAs. Studies with mixed population of adults and children were included if information was available for pediatric patients separately or if average age of patients were under 18 years at LT. Unit of analysis was the proportion of patients with DSAs of total number of patients analyzed for DSAs. R version 3.1. 1 (www.r-project.org) was used with meta package to calculate overall prevalence with 95% confidence interval (CI). The overall prevalence was calculated with the use of logit transformation. A random-effects model
Influence of an inner disc on the orbital evolution of massive planets migrating in resonance

Context. The formation of resonant planet pairs in exoplanetary systems involves planetary migration inside the protoplanetary disc. After a resonant capture, subsequent migration leads to a large increase in planetary eccentricities, if no damping mechanism is applied. This has led to the conclusion that the migration of resonant planetary systems cannot take place across large radial distances, but must be terminated rapidly by disc dissipation. Aims. We investigate if the presence of an inner disc could supply eccentricity damping to the inner planet, and if this effect could explain observed eccentricities in some planetary systems. Methods. We compute hydrodynamic simulations of giant planets, in orbits of a given eccentricity about an inner gas disc, and measure the effect of the gas disc on the planetary orbital parameters. We perform detailed long-term calculations of the GJ 876 system. We complete N-body simulations, which include artificial forces on the planets that recreate the effect of the inner and outer discs. Results. We find that we cannot neglect the influence of the inner disc, and that the disc could explain the observed eccentricities. In particular, we reproduce the orbital parameters of a few systems engaged in 2:1 mean motion resonances: GJ 876, HD 73 526, HD 82 943, and HD 128 311. Analytically, we derive the effect that the inner disc should have on the inner planet to reach a specific orbital configuration, for any given damping effect of the outer disc on the outer planet. Conclusions. We conclude that an inner disc, even though difficult to model properly in hydrodynamical simulations, should be taken into account because of its damping effect on the eccentricity of the inner planet. By including this effect, we can explain quite naturally the observed orbital elements of the pairs of known resonant exoplanets.
Real-time sound source localisation for target tracking applications using an asynchronous microphone array

This paper presents a strategy for sound source localisation using an asynchronous microphone array. The proposed method is suitable for target tracking applications, in which the sound source with a known frequency is attached to the target. Conventional microphone array technologies require a multi-channel A/D converter for inter-microphone synchronization making the technology relatively expensive. In this work, the requirement of synchronization between channels is relaxed by adding an external reference audio signal. The only assumption is that the frequencies of the reference signal and the sound source attached to the target are fixed and known beforehand. By exploiting the information provided by the known reference signal, the Direction Of Arrival (DOA) of target sound source can be calculated in real-time. The key idea of the algorithm is to use the reference source to “pseudo-align” the audio signals from different channels. Once the channels are “pseudo-aligned”, a dedicated DOA estimation method based on Time Difference Of Arrival (TDOA) can be employed to find the relative bearing information between the target sound source and microphone array. Due to the narrow band of frequency of target sound source, the proposed approach is proven to be robust to low signals-to-noise ratios. Comprehensive simulations and experimental results are presented to show the validity of the algorithm.
Hybridization of Mitzner approach for adaptive EM treating of combined geometries including arbitrary shape thin 3D material sheets

Mitzner approach is hybridized on combined geometries, composed of metals, dielectrics, wires and arbitrary shape thin 3D material sheets. It is also extended to low frequency range using the loop-star approach. The developed approach is validated by comparison of simulated results for particular geometries with those obtained by other approaches. Then, it is applied for analysis of practical problems on mixed geometries, such as wireless power transmission, or inductive charging, in electrical vehicles (EV) and hybrid vehicles (HV).
Impact of final coronary flow velocity reserve on late outcome following stent implantation.

Aims To assess whether coronary flow velocity reserve following stent implantation is predictive of the subsequent need of target lesion revascularization. Methods and Results The outcome was examined of 417 patients enrolled in a multicentre prospective randomized study (DESTINI), who received a successful single vessel stent implantation in native coronary arteries and in whom coronary flow velocity reserve was measured. Logistic regression analysis and the receiver operator characteristic curve were used. When compared with 358 patients not requiring target lesion revascularization, 59 patients (14%) who underwent target lesion revascularization had a lower final coronary flow velocity reserve (2.33 +/- 0.87 vs 2.48+/- 0.80, P= 0.20) and smaller final minimal lumen diameter (2.62 +/- 0.66 mm vs 2.73+/- 0.60, P= 0.19); however, those differences were not statistically significant. Patients with a coronary flow velocity reserve of < 2.0 (n=109, 26%) exhibited a significantly higher target lesion revascularization rate than patients with a coronary flow velocity reserve of > or = 2.0 (22% vs 11%, P= 0.010). This difference remained significant (odds ratio=2.01, 95% CI=1.11 to 3.66) after adjustment for other variables that were also correlated with the incidence of target lesion revascularization. Conclusion The presence of a final coronary flow velocity reserve of < 2.0 is an independent predictor of the need for target lesion revascularization after stent implantation in native coronary artery lesions.
Improving Stock Price Prediction Using Hybrid Market Indicators

In this paper the effect of hybrid market indicators is examined for an improved stock price prediction. The hybrid market indicators consist of technical, fundamental and expert opinion variables as input to artificial neural networks model. The empirical results obtained with published stock data of Dell and Nokia obtained from New York Stock Exchange shows that the proposed model can be effective to improve accuracy of stock price prediction.
Enhance and Extend Preservice Special Educators' Learning with Curricular Content Knowledge.

Developing preservice special educators’ understandings of curricular content knowledge in inclusive and self-contained settings is essential. The purpose of the present study was to better understand specific preparation practices teacher educators use to equip preservice special educators with curricular content knowledge. Using a survey research design, qualitative data were collected among 36 experienced teacher educators in Texas and analyzed through three levels of coding. Three themes emerged and provided a snapshot of current preparation practices. Implications for teacher educators were described, along with descriptions of innovative, evidencebased preparation practices presented in current literature that may improve preservice special educator learning.
On-Line Generation of Association Rules Using Inverted File Indexing and Compression

W e consider the problem of online mining of association rules in databases containing large numbers of transactions – and e specially in market-basket data. We focus primarily in the use of a proper data structure that would allow us to handle large numbers of data for online mining of association rules, and also in presenting and giving answers to new types of online queries. We borrow techniques used in information retrieval, like inverted file indexing and inverted file compression. Thus, the online mining is accomplished by preprocessing the data once and creating an index by using an inverted file. Next, if this inverted file is too large to be held in main memory as is, we compress it. The inverted file is now ready to instantaneously give answers to various types of queries. We present the traditional kinds of queries to which our approach is capable of answering as well a s we present some new kinds of queries that are supported. Finally we present how our approach could be used like a classic algorithm for finding large itemsets.
The New Regionalism In Western Europe

In the 1990s, the states of western Europe faced twin challenges, from above in the shape of globalization and European integration, and from below in the form of new regionalist movements. In this authoritative book, Michael Keating traces the historical origins of regionalism, showing that territorial politics has always been a feature of the west European state.
Controlled Epidemic-style Data Dissemination in Mobile Ad Hoc Networks

Traditional routing mechanisms for mobile ad hoc networks fail when disconnection is frequent and when the network gets temporarily partitioned. The alternative approach for message delivery is flooding, which, however, comes with large transmission overheads. Gossip-based communication and epidemic-style routing algorithms have been proposed to achieve scalability in distributed systems and to support probabilistic communication when the application of the classic deterministic algorithms and protocols is impossible or unsuitable. In this paper, we apply epidemic-style information dissemination techniques to tune the reliability of the communication in mobile ad hoc networks. The approach is based on recent results of complex networks theory; the main novelty of our idea resides in the evaluation and the exploitation of the structure of the underlying network for the automatic tuning of the dissemination process. We present a detailed analytical model supported by several simulation results.
Leak sinks: The threat of targeted social eavesdropping

Online social networks are a popular and important channel for people to share, find and disseminate information on a massive scale. Some of the information exposed through these networks is meant to be private. However, sensitive organizational information can be accidentally leaked by employees and become exposed to adversaries or competitors. The threat is escalated due to socialbots used by adversaries to penetrate the informal social network of an organization's employees in order to harvest sensitive information. This study evaluates the ability of an attacker to harvest leaked information using socialbots versus the effort required to wire the profiles into the organizational network. The evaluation is performed using real information diffusion data of two social networks and extensive simulations of socialbot wiring strategies. Our results demonstrate that organizations whose social network topologies are characterized by low clustering coefficient are more vulnerable to eavesdropping. We also show that the most effective socialbot wiring strategy for harvesting information is different from the most effective strategies for infiltrating the organization.
Adaptive correction of program statements

A method of analyzing statements in a programming language which can tolerate a considerable inaccuracy in their specification is proposed. This method involves principles at present mainly confined to studies in the area of artificial intelligence such as feature extraction, approximate tree matching, and strategy improvement by feedback from the matching process. A pilot program incorporating the principles is described and preliminary operating results are presented. A final section surveys further principles which are currently being investigated.
Single molecule compression reveals intra-protein forces drive cytotoxin pore formation

Perfringolysin O (PFO) is a prototypical member of a large family of pore-forming proteins that undergo a significant reduction in height during the transition from the membrane-assembled prepore to the membrane-inserted pore. Here, we show that targeted application of compressive forces can catalyze this conformational change in individual PFO complexes trapped at the prepore stage, recapitulating this critical step of the spontaneous process. The free energy landscape determined from these measurements is in good agreement with that obtained from molecular dynamics simulations showing that an equivalent internal force is generated by the interaction of the exposed hydrophobic residues with the membrane. This hydrophobic force is transmitted across the entire structure to produce a compressive stress across a distant, otherwise stable domain, catalyzing its transition from an extended to compact conformation. Single molecule compression is likely to become an important tool to investigate conformational transitions in membrane proteins. DOI: http://dx.doi. org/10.7554/eLife.08421. 001
Improving Data-ow Analysis with Path Pro les

Data-ow analysis computes its solutions over the paths in a control-ow graph. These paths|whether feasible or in-feasible, heavily or rarely executed|contribute equally to a solution. However, programs execute only a small fraction of their potential paths and, moreover, programs' execution time and cost is concentrated in a far smaller subset of hot paths. This paper describes a new approach to analyzing and optimizing programs, which improves the precision of data ow analysis along hot paths. Our technique identiies and duplicates hot paths, creating a hot path graph in which these paths are isolated. After ow analysis, the graph is reduced to eliminate unnecessary duplicates of un-prootable paths. In experiments on SPEC95 benchmarks, path qualiication identiied 2{112 times more non-local constants (weighted dynamically) than the Wegman-Zadek conditional constant algorithm, which translated into 1{7% more dynamic instructions with constant results.
A Resource Requirements Prediction Model (RRPM-1): Guide for the Project Manager.

DOCUMENT RESUME HE 003 089 Hussain, K. M. A Resource Requirements Prediction Model (RRPM-1): Guide for the Project Manager. Western Interstate Comnission for Higher Education, Boulder, Colo. National Center for Higher Education Management Systems. National Center for Educational Research and Development (DHEW/OE), Washington, D.C. TR-20 Oct 71 OEC-0-8-980708-4533(010) 126p. MF-$0.65 HC-$6.58 *Administrator Guides, *Educational Administration; *Higher Education; Institutional Administration; *Management; *Management Information Systams This report is one in a series written on the Resource Requirements Prediction Model (RRPM-1) developed by the National Center for Higher Education Management Systems (PCHEMS). This particular document is a guide to the project manager, the person responsible for marshaling and coordinating the resources necessary to implement RRPM-1. The Guide has 2 main functions: (1) to provide some details on the type and amount of resoutoes required; and (2) to identify some of the problems of implementation and some approaches to their solution. Hopefully, the reading of this Guide will make future implementations of RRPM-1 more economical and easier to accomplish than otherwise would be the case. (HS) A RESOURCE RECW1REMENTS PREDICTION MODEL (RRPM-1): GUIDE FOR THE PROJECT MANAGER
Reconstruction of Archaeological Trenches from Photographs

This paper presents a method for 3D reconstructions of archaeological excavation sites. The method extends a 3D reconstruction algorithm for general rigid scenes to better fit the special archaeological needs and to integrate easily into the documentation process. As input, an ordered image sequence captured with a calibrated standard digital camera is required, along with a small set of 3D points from the trench with well-known coordinates. The 3D points are used to transform the model into the world coordinate system used at the excavation site, so measuring in the model and fusing it with other models becomes possible. Furthermore, a new algorithm called LoopClosing is introduced to minimize drift and increase accuracy. The resulting models provide lasting 3D representations of the trenches and allow the user to explore the scene interactively, not being restricted to a photographer’s point of view. True orthographic views can be generated from the 3D models that can be correlated with other archaeological data.