Miracle-dz/UniFAR-FTUs huggingface dataset:
Linear Non-Regenerative Multicarrier MIMO Relay Communications Based on MMSE Criterion

In this letter we propose linear non-regenerative multicarrier multiple-input multiple-output (MIMO) relay technique that aims to minimize the mean-squared error (MSE) of the signal waveform estimation at the destination. We generalize the existing result on the structure of the optimal relay amplifying matrix by considering the direct source-destination link. To minimize the MSE, a power loading algorithm is developed which has a significantly reduced computational complexity compared with existing techniques.
Applications for an Internet Integrated Service Architecture

The IP protocol suite based Internet provides a number of useful telecommunication services, therefore every day the number of hosts connected to Internet grows at an unprecedented rate. However, the Internet itself does not guarantee any Quality of Service (QoS) for user flows, which prevents the provision of good quality for applications over wide area. This fact leads to the development of the Integrated Service Architecture (based on the use of the Resource Reservation ProtocolRSVP) and recently the Differentiated Service Architecture. At present a vast number of vendors provide RSVP capable routers to build an IP Integrated Service network, therefore the acceptance of the Internet Integrated Service concept strongly depends on applications which are capable to
Analytical Modelling and Optimization of Congestion Control for Prioritized Multi-Class Self-Similar Traffic

Traffic congestion in communication networks can dramatically deteriorate user-perceived Quality-of-Service (QoS). The integration of the Random Early Detection (RED) and priority scheduling mechanisms is a promising scheme for congestion control and provisioning of differentiated QoS required by multimedia applications. Although analytical modelling of RED congestion control has received significant research efforts, the performance models reported in the current literature were primarily restricted to the RED algorithm only without consideration of traffic scheduling scheme for QoS differentiation. Moreover, for analytical tractability, these models were developed under the simplified assumption that the traffic follows Short-Range-Dependent (SRD) arrival processes (e.g., Poisson or Markov processes), which are unable to capture the self-similar nature (i.e., scale-invariant burstiness) of multimedia traffic in modern communication networks. To fill these gaps, this paper presents a new analytical model of RED congestion control for prioritized multi-class self-similar traffic. The closed-form expressions for the loss probability of individual traffic classes are derived. The effectiveness and accuracy of the model are validated through extensive comparison between analytical and simulation results. To illustrate its application, the model is adopted as a cost-effective tool to investigate the optimal threshold configuration and minimize the required buffer space with congestion control.
Generalized likelihood ratio statistics and Wilks phenomenon

Likelihood ratio theory has had tremendous success in parametric inference, due to the fundamental theory of Wilks. Yet, there is no general applicable approach for nonparametric inferences based on function estimation. Maximum likelihood ratio test statistics in general may not exist in nonparametric function estimation setting. Even if they exist, they are hard to find and can not; be optimal as shown in this paper. We introduce the generalized likelihood statistics to overcome the drawbacks of nonparametric maximum likelihood ratio statistics. A new S Wilks phenomenon is unveiled. We demonstrate that a class of the generalized likelihood statistics based on some appropriate nonparametric estimators are asymptotically distribution free and follow chi (2)-distributions under null hypotheses for a number of useful hypotheses and a variety of useful models including Gaussian white noise models, nonparametric regression models, varying coefficient models and generalized varying coefficient models. We further demonstrate that generalized likelihood ratio statistics are asymptotically optimal in the sense that they achieve optimal rates of convergence given by Ingster. They can even be adaptively optimal in the sense of Spokoiny by using a simple choice of adaptive smoothing parameter. Our work indicates that the generalized likelihood ratio statistics are indeed general and powerful for nonparametric testing problems based on function estimation.
A hand-gesture-based control interface for a car-robot

In this paper, we introduce a hand-gesture-based control interface for navigating a car-robot. A 3-axis accelerometer is adopted to record a user's hand trajectories. The trajectory data is transmitted wirelessly via an RF module to a computer. The received trajectories are then classified to one of six control commands for navigating a car-robot. The classifier adopts the dynamic time warping (DTW) algorithm to classify hand trajectories. Simulation results show that the classifier could achieve 92.2% correct rate.
Unusual respiratory bacterial flora in cystic fibrosis: microbiologic and clinical features

Pulmonary infections continue to be a significant source of morbidity and mortality among patients with cystic fibrosis. Although our understanding of the pathogenesis and clinical consequences of pulmonary infections with Pseudomonas aeruginosa has increased greatly in recent years, very little is known about potentially emerging pathogens such as Burkholderia cepacia complex, Stenotrophomonas maltophilia, Alcaligenes xylosoxidans, and methicillin-resistant Staphylococcus aureus. In this review, the authors discuss methods for appropriate identification of these “unusual” organisms and their epidemiologic and clinical features. Multicenter surveillance studies are needed to more clearly establish the pathogenicity of these organisms.
Functional Correlates of Positional and Gender-Specific Renal Asymmetry in Drosophila

Background In humans and other animals, the internal organs are positioned asymmetrically in the body cavity, and disruption of this body plan can be fatal in humans. The mechanisms by which internal asymmetry are established are presently the subject of intense study; however, the functional significance of internal asymmetry (outside the brain) is largely unexplored. Is internal asymmetry functionally significant, or merely an expedient way of packing organs into a cavity? Methodology/Principal Findings Like humans, Drosophila shows internal asymmetry, with the gut thrown into stereotyped folds. There is also renal asymmetry, with the rightmost pair of renal (Malpighian) tubules always ramifying anteriorly, and the leftmost pair always sitting posteriorly in the body cavity. Accordingly, transcriptomes of anterior-directed (right-side) and posterior-directed (left-side) Malpighian (renal) tubules were compared in both adult male and female Drosophila. Although genes encoding the basic functions of the tubules (transport, signalling) were uniformly expressed, some functions (like innate immunity) showed positional or gender differences in emphasis; others, like calcium handling or the generation of potentially toxic ammonia, were reserved for just the right-side or left-side tubules, respectively. These findings correlated with the distinct locations of each tubule pair within the body cavity. Well known developmental genes (like dorsocross, dachshund and doublesex) showed continuing, patterned expression in adult tubules, implying that somatic tissues maintain both left-right and gender identities throughout life. Gender asymmetry was also noted, both in defence and in male-specific expression of receptors for neuropeptide F and sex-peptide: NPF elevated calcium only in male tubules. Conclusions/Significance Accordingly, the physical asymmetry of the tubules in the body cavity is directly adaptive. Now that the detailed machinery underlying internal asymmetry is starting to be delineated, our work invites the investigation, not just of tissues in isolation, but in the context of their unique physical locations and milieux.
M-cluster and X-ray: Two methods for multi-jammer localization in wireless sensor networks

Jamming is one of the most severe attacks in wireless sensor networks WSNs. While existing countermeasures mainly focus on designing new communication mechanisms to survive under jamming, a proactive solution is to first localize the jammers and then take necessary actions. Unlike the existing work that focuses on localizing a single jammer in WSNs, this work solves a multi-jammer localization problem, where multiple jammers launch collaborative attacks. We develop two multi-jammer localization algorithms: a multi-cluster localization M-cluster algorithm and an X-rayed jammed-area localization X-ray algorithm. Our extensive simulation results demonstrate that with one run of the algorithms, both M-cluster and X-ray are efficient in localizing multiple jammers in a wireless sensor network with small errors.
Sonographic determination of gestational age

Appropriate assessment of gestational age is paramount in obstetric care. Making appropriate management decisions requires accurate appraisal of gestational age. Accurate pregnancy dating may assist obstetricians in appropriately counseling women who are at risk of a preterm delivery about likely neonatal outcomes and is also essential in the evaluation of fetal growth and the detection of intrauterine growth restriction. Accurate gestational age is also important in the interpretation of biochemical serum screening test or for counselling patients regarding the option of pregnancy termination. Since clinical data such as the menstrual cycle or uterine size often are not reliable, the most precise parameter for pregnancy dating should be determined by the obstetrician by ultrasound early in the pregnancy. Ultrasound is an accurate and useful modality for the assessment of gestational age in the first and second trimester of pregnancy and, as a routine part of prenatal care, can greatly impact obstetric management and improve antepartum care.
Behaviour of segmental tunnel lining under static and dynamic loads

The aim of the research thesis is to provide a three-dimensional numerical model suitable to interpret the static and dynamic behaviour of a kind of segmental tunnel lining in soft soil. The static performance of the structure is investigated during the tunnel construction, involving the main tunnelling loads, obtaining the evolution of the state of stress and strain in the lining. The dynamic performance of segmental lining has been investigated both under uniform and not uniform seismic loads. In the case of uniform seismic load, pseudo static and full dynamic approaches have been compared, while non-linear coupled analysis have been used to investigate the post-earthquake lining condition. A study of the seismic vulnerability of such structures has been conducted based on fragility curves for different levels of damage. A procedure for the forecast method of risk assessment has been proposed for the case of segmental tunnel lining assuming as critical damage parameter the longitudinal joints rotation. Furthermore, a study of feasibility of Earthquake Early Warning System, EEWS, based on thresholds has been conducted through a probabilistic and a real-time approach for such tunnel structure. The coupling effect of multi-directional seismic motion both in transversal and longitudinal direction of the tunnel has also taken into account in the evaluation of dynamic tunnel behaviour. A comparison between the effect of synchronous and not synchronous seismic motion along the tunnel axis has been done in terms of dynamic increment of the components of forces in the lining.
The use of network analysis in the process of delimitation as exemplifi ed by the administrative division of Poland

: The cognitive aim of this study is to point to the optimum number of local government units and the optimum boundaries of spatial units in Poland with the assumption of minimizing the cumulated theoretical travel time to all settlement units in the country. The methodological aim, in turn, is to present the use of the ArcGIS location-allocation tool for the purposes of delimitation processes as exempli ﬁ ed by administrative boundaries in Poland. The rationale for the implementation of this study is that number and the boundaries of units of all levels of Poland’s current territorial division are far from optimum in the light of minimization of accumulated theoretical travel time to all settlement units in the country. It may be concluded that it would be justi ﬁ able to increase the number of voivodships from the current number of 16 to 18. Besides it would be necessary to introduce modi ﬁ cations in relation to units with regional functions. In contrast, the number of districts and communes should be reduced. A continuation of this research may go in the direction of including analysis of public transport network in the research, creating in this way a multimodal set of network data. This would illustrate, apart from the potential itself resulting from the infrastructure, also the actually existing connections.
Classification of Land Use on Sand-Dune Topography by Object-Based Analysis, Digital Photogrammetry, and GIS Analysis in the Horqin Sandy Land, China

Previous field research on the Horqin Sandy Land (China), which has suffered from severe desertification during recent decades, revealed how land use on a sand-dune topography affects both land degradation and restoration. This study aimed to depict the spatial distribution of local land use in order to shed more light on previous field findings regarding policies on a broader scale. We performed the following analyses with Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) and Advanced Visible and Near Infrared Radiometer type 2 (AVNIR-2) images of Advanced Land Observing Satellite (ALOS): (1) object-based classification to discriminate preliminary classification of land-use types that were approximately differentiated by ordinary pixel-based analysis with spectral information; (2) digital photogrammetry to generate a digital surface model (DSM) with adequately high accuracy to represent undulating sand-dune topography; (3) geographic information system (GIS) analysis to classify major topographic types with the digital surface model (DSM); and (4) overlay of the two classification results to depict the local land-use types. The overall accuracies of the object-based and GIS-based classifications were high, at 93% (kappa statistic: 0.84) and 89% (kappa statistic: 0.81), respectively. The resultant local land-use map represents areas covered in previous field studies, showing where and how land degradation and restoration are likely to occur. This research can contribute to future environmental surveys, models, and policies in the study area.
Automatically generating consistent graphical user interfaces using a parser generator

Well-designed graphical user interfaces (GUIs) are needed to make programs easier to use. However, these programs are difficult and time-consuming to develop, especially when creating several GUIs for a related set of tools. Automatic generation of a GUI is one solution to this problem. This paper presents a technique to automatically generate GUIs using a parser generator and data files. This technique quickly creates multiple consistent GUIs for tools with similar options. In this way, programmers can quickly create several GUIs at once that look and act the same.
Rifting Processes at a Continent‐Ocean Transition Rift Revealed by Fault Analysis: Example of Dabbahu‐Manda‐Hararo Rift (Ethiopia)

Analyses of fault attributes have contributed to unraveling fault growth processes in diverse tectonic settings. By integrating such analysis at the scale of a fault population, we propose to investigate the characteristics of a rift that has evolved up to a stage typical of a continent‐ocean transition. We address this problem by considering Dabbahu‐Manda‐Hararo (DMH) rift segment (Central Afar, Ethiopia), recognized for being in a late rifting stage. We quantify fault azimuth, length, and throw attributes for 668 normal faults. Along DMH rift, the mean fault density is 0.87 ± 0.7 km/km2 and the median tectonic strain ranges from 1.8% to 3.1% assuming a fault dip of 60° and 45°, respectively. Maximum tectonic strain (>10%) is found where the rift azimuth changes. Along‐rift variations in fault azimuth, length, and scaling relationships suggest a different stage of rifting in the northern part of the rift. We show that this difference can be attributed to the influence of the Dabbahu volcano located at the northern tip of the rift, which captured the propagating Manda‐Hararo rift in the last ~100 kyr. The morpho‐tectonic analysis reveals numerous common features with slow‐spreading ridge segments, such as the Lucky Strike segment located along the Mid‐Atlantic ridge (segment length, spreading rate, associated magmatic system) but also with intermediate and fast ones (axial valley, fault throws, and diking). This study reveals that a rift at the continent‐ocean transition may be characterized by a transient and evolutionary behavior that shares features with oceanic ridges from slow‐ to fast‐spreading rates.
USI at BioASQ 2015: a Semantic Similarity-based Approach for Semantic Indexing

The need of indexing biomedical papers with the MeSH is incessantly growing and automated approaches are constantly evolving. Since 2013, the BioASQ challenge has been promoting those evolutions by proposing datasets and evaluation metrics. In this paper, we present our system, USI, and how we adapted it to participate to this challenge this year. USI is a generic approach, which means it does not directly take into account the content of the document to annotate. The results lead us to the conclusion that methods that solely rely on semantic annotations available in the corpus can already perform well compared to NLP-based approaches as our results always figure in the top ones.
Exploring the effect of personal traits on advertising combining TV and the QR code

This study examines the effects of combination advertising on Korean consumers. The results indicate that the Need for Cognition NFC, innovativeness and privacy concerns had differential effects on the respondents' responses to combination advertising. The respondents' NFC had no significant effect on their perceived interactivity, but it had a significant effect on their attitudes towards brands. Innovativeness had a significant effect on interactivity but not on attitudes towards brands. Privacy concerns had a significant effect on perceived interactivity but not on attitudes towards brands. Perceived interactivity had a significant effect on attitudes towards brands, providing general support for previous research. Finally, perceived interactivity mediated the relationship between innovativeness and attitudes towards brands and that between privacy concerns and attitudes towards brands, but it did not mediate the relationship between the NFC and attitudes towards brands.
Vision based campus guide system on intelligent mobile phone

In this paper, we propose a vision based campus guide system to provide visitors guide information on the campus. Images of buildings are firstly represented by visual words. Then, to further reduce the recognition time, visual words of the same building are merged to a distinct codebook. During visiting, visitors capture images of an interested building by their mobile phones for recognition. After recognizing the building, tour guide information will be sent to the visitors via internet. Experimental results show that our method can efficiently recognize the target buildings under various viewpoints.
Quantitative Profiling of Feruloylated Arabinoxylan Side-Chains from Graminaceous Cell Walls

Graminaceous arabinoxylans are distinguished by decoration with feruloylated monosaccharidic and oligosaccharidic side-chains. Although it is hypothesized that structural complexity and abundance of these feruloylated arabinoxylan side-chains may contribute, among other factors, to resistance of plant cell walls to enzymatic degradation, quantitative profiling approaches for these structural units in plant cell wall materials have not been described yet. Here we report the development and application of a rapid and robust method enabling the quantitative comparison of feruloylated side-chain profiles in cell wall materials following mildly acidic hydrolysis, C18-solid phase extraction (SPE), reduction under aprotic conditions, and liquid chromatography with diode-array detection/mass spectrometry (LC-DAD/MS) separation and detection. The method was applied to the insoluble fiber/cell wall materials isolated from 12 whole grains: wild rice (Zizania aquatica L.), long-grain brown rice (Oryza sativa L.), rye (Secale cereale L.), kamut (Triticum turanicum Jakubz.), wheat (Triticum aestivum L.), spelt (Triticum spelta L.), intermediate wheatgrass (Thinopyrum intermedium), maize (Zea mays L.), popcorn (Zea mays L. var. everta), oat (Avena sativa L.) (dehulled), barley (Hordeum vulgare L.) (dehulled), and proso millet (Panicum miliaceum L.). Between 51 and 96% of the total esterified monomeric ferulates were represented in the quantified compounds captured in the feruloylated side-chain profiles, which confirms the significance of these structures to the global arabinoxylan structure in terms of quantity. The method provided new structural insights into cereal grain arabinoxylans, in particular, that the structural moiety α-l-galactopyranosyl-(1→2)-β-d-xylopyranosyl-(1→2)-5-O-trans-feruloyl-l-arabinofuranose (FAXG), which had previously only been described in maize, is ubiquitous to cereal grains.
Resource Optimization in Multi-Tier HetNets Exploiting Multi-Slope Path Loss Model

Current resource allocation techniques in cellular networks are largely based on single-slope path loss model, which falls short in accurately capturing the effect of physical environment. The phenomenon of densification makes cell patterns more irregular; therefore, the multi-slope path loss model is more realistic to approximate the increased variations in the links and interferences. In this paper, we investigate the impacts of multi-slope path loss models, where different link distances are characterized by different path loss exponents. We propose a framework for joint user association, power and subcarrier allocation on the downlink of a heterogeneous network (HetNet). The proposed scheme is formulated as a weighted sum rate maximization problem, ensuring the users’ quality-of-service requirements, namely users’ minimum rate, and the base stations’ (BSs) maximum transmission power. We then compare the performance of the proposed approach under different path loss models with demonstrate the effectiveness of dual-slope path loss model in comparison to the single-slope path loss model. Simulation results show that the dual-slope model leads to significant improvement in network’s performance in comparison to the standard single-slope model by accurately approximating the path loss exponent dependence on the link distance. Moreover, it improves the user offloading from macrocell BS to small cells by connecting the users to nearby BSs with minimal attenuation. It has been shown that the path loss exponents significantly influence the user association lying across the critical radius in the case of the dual-slope path loss model.