Miracle-dz/UniFAR-FTUs huggingface dataset:
A Wideband and High Gain Dual-Polarzied Antenna Design by a Frequency-Selective Surface for WLAN Application

A new dual-polarized antenna loading frequency-selective surface (FSS) is proposed for 5G wireless local networks (WLANs) application. The antenna consists of two orthogonal bow-tie dipoles and a ground plane. A new wideband FSS is designed comprising ring-slot connecting rectangular slots. The reflection coefficient of wideband FSS is less than 0.9 from 4-6.5 GHz. The phase of reflection coefficient is −163 ◦ at 5.5 GHz. The novel cell analyzed by the equivalent circuit is given and simulated. The wideband FSS is employed as a superstrate layer for bandwidth enhancement and radiation gain improvement of the antenna. After loading wideband FSS, the measured bandwidth is 5.3-6.3 GHz (17.2%) with S11 and S22 both less than −10 dB, which cover various 5G WLAN bandwidths. The gain of the antenna is 12.1 dBi at 5.5 GHz. The bandwidth of antenna with FSS increases 40%, and gain improves 5.6 dBi. The simulated and measured results agree well.
New Hyperspectral Unmixing Techniques in the Framework of the Earth Observation Optical Data Calibration and Information Extraction ( EODIX ) Project

The main objective of the Earth Observation Optical Data Calibration and Information Extraction (EODIX) project is to develop advanced ground segment methodologies for optical data calibration and information extraction from a broad family of imaging instruments currently in orbit. EODIX also has an important component related with advanced information extraction from remotely sensed data sets. In this paper, we describe some of the advances carried out in one of the tasks of the EODIX project, focused on the area of spectral unmixing of remotely sensed data. It is well known that most pixels in remotely sensed images are characterized by their mixed nature and can be modelled as the combination of elementary components (called endmembers) with variable per-pixel fractional abundances. The techniques described in this paper comprise several new algorithms for endmember extraction (including not only spectral information but also spatial information) and abundance estimation (with particular focus on the sparsity of the abundance estimation problem, which can be used to increase the accuracy of the estimations). The paper also describes computationally efficient implementations of some of the discussed algorithms.
Comparable Study of Event Extraction in Newswire and Biomedical Domains

Event extraction is a popular research topic in natural language processing. Several event extraction tasks have been defined for both the newswire and biomedical domains. In general, different systems have been developed for the two domains, despite the fact that the tasks in both domains share a number of characteristics. In this paper, we analyse the commonalities and differences between the tasks in the two domains. Based on this analysis, we demonstrate how an event extraction method originally designed for the biomedical domain can be adapted for application to the newswire domain. The performance is state-of-the-art for both domains, with F-scores of 52.7% for the biomedical domain and 52.1% for the newswire domain in terms of their primary evaluation metrics.
Analyze the Impact of User Search Behavior on DHT-based P2P File Sharing System

DHT has been proposed in the literature as a general infrastructure for building large scale distributed system. While DHT supports exact key search inherently, several arguments against it contend that DHT cannot support the keyword search well, which is widely used in real systems. Through study of search logs from a live peer-to-peer file-sharing system, this paper presents the query characteristics in the real system. In contrast to previous studies, we focus on analyzing the potential impact of keyword-based search pattern on the system performance, by which we demonstrate the real potential performance problem. Though unbalanced distribution of query traffic, we find that it actually can be handled easily by a moderate PC. However, the index process for shared files will cause unbalanced large traffic in DHT-based systems, which should not be neglected by future designer of peer-to-peer file-sharing system
Ultrasound-guided versus Computed Tomography-controlled facet joint injections in the middle and lower cervical spine: a prospective randomized clinical trial.

OBJECTIVES A prospective randomized clinical trial was conducted to evaluate accuracy, time-saving, radiation doses and pain relief of ultrasound-guided (US) facet joint injections versus Computed Tomography (CT)-controlled interventions in the cervical spine. MATERIAL AND METHODS Forty adult patients were consecutively enrolled and randomly assigned to the US- or CT group. US-guided facet joint injections were performed on a standard ultrasound device using a broadband linear-array transducer. The corresponding comparison group underwent CT-guided instillations which were performed under standardized procedures using the CT-positioning laser function. RESULTS The accuracy of ultrasound-guided interventions was 100%. The mean time (min:sec) to final needle placement in the US group was 04:46 versus 11:12 (p<0.05) in the CT group for one injected level, and 05:49 in the US group versus 14:32 (p<0.05) in the CT group for two injected levels. The mean dose-length product (DLP, mGy*cm) radiation dose, including CT confirmation for study purposes only, was 27.6 for the US group versus 88.2 in the CT group (p<0.05) for one injected level, and 32.5 in the US group versus 205.0 in the CT group (p<0.05) for two injected levels. Both groups showed the same significant visual-analog-scale (VAS) relief in pain (p<0.05), without any "inter-methodic" differences (p>0.05). CONCLUSIONS US-guided intra-articular injections show the same therapeutic effect as CT-guided intra-articular injections and result in a significant reduction of procedure duration without any exposure to radiation.
Hybrid nonvolatile disk cache for energy-efficient and high-performance systems

NAND flash memory has been employed as disk cache in recent years. It has the advantages of high performance, low leakage power, and cost efficiency. However, flash memory's performance is limited by the inability of in-place updates, coarse access granularity, and a limited number of write/erase times. In this article, we propose a hybrid nonvolatile disk cache architecture for high-performance and energy-efficient systems, where the disk cache is implemented with a small-size phase change memory (PCM) and a large-size NAND flash memory. Compared with current flash memory-based disk cache, it has the following advantages. (1) System performance is improved as requests are carefully directed between PCM and flash memory; (2) the energy consumption of disk cache is substantially reduced with significant reduction of additional operations, such as garbage collections; (3) the efficiency of flash memory is improved with the reduction of write activities on flash memory; and (4) lifetime of NAND flash memory is increased with most of the write operations assigned to PCM, where PCM's lifetime is guaranteed to be longer than the lifetime of flash memory. Simulation results show that the proposed methods can substantially improve the system performance, energy consumption, and lifetime of the hybrid disk cache.
Human Performance Monitoring Research: What did we achive, what remains to be solved?

Human performance monitoring has attracted the interest of many researchers. A steady increase in studies investigating the implementation of monitoring functions in the human brain and employing a number of different approaches could be observed over the recent years. A major part of this research is dedicated to error processing. This is not astonishing, as human life and development cannot be imagined to take place without errors. Errors themselves are often the basis of new strategies and learning. Anticipation, detection, correction, and avoidance of errors are major parts of goal-directed behavior. Investigation of these processes promises to reveal many insights in how humans can flexibly adjust to a continuously changing environment. Thus, the investigation of performance monitoring offers a way to understand the most complex psychological processes in human cognition. In addition, neuroimaging, electrophysiology and psychophysiology allow to investigate how these functions are implemented in the human brain. In July, 2003, we had the great pleasure to organize the second conference exclusively dedicated to human performance monitoring research. Sixty contributions by most distinguished investigators as well as researchers at the beginning of their career demonstrated the remarkably fast development of the field. The outstanding presentations as well as fruitful and constructive discussions formed an enthusiastic atmosphere. We agree with numerous participants that both the Jena conference organized by Wolfgang Miltner and Mike Coles in 2000 and the recent Dortmund conference were highly successful and should be the starting point of a series of meetings dedicated to performance monitoring research. This volume is intended to reflect the current state of performance monitoring research. It contains peer-reviewed original research contributions and overview papers from researchers who took part in the conference. It addresses most questions discussed on the conference in July, 2003. In the first chapter, contributions on the event-related potential correlates of error processing, the error negativity (Ne) or error-related negativity (ERN) are integrated. Chapter two addresses the hemodynamic correlates of error processing as well as conflict monitoring. The third chapter comprises papers connecting performance monitoring to related cognitive processes, such as decision making, uncertainty monitoring, and affect. In addition, papers in this chapter discuss the different theories of performance monitoring. Chapter four is dedicated to response inhibition, a process which is often involved when errors are detected or response conflicts occur. The specific ERP responses to feedback and observed errors are discussed in chapter five. Chapter six sheds light on …
Learning similarity space

We suggest a method to adapt an image retrieval system into a configurable one. Basically, the original feature space of a content-based retrieval system is nonlinearly transformed into a new space, where the distance between the feature vectors is adjusted by learning. The transformation is realized by an artificial neural network architecture. A cost function is defined for learning and optimized by the simulated annealing method. Experiments are done on the texture image retrieval system, which use Gabor filter features. The results indicate that configured image retrieval system is significantly better than the original system.
ERP System Selection Model for Low Cost NGN Phone Company

Next generation network (NGN) phone company is handling telecommunication and media services in rural and sub-urban areas. In order to ease the replication process and to encourage entrepreneurship development through franchise package, ERP system needs to be deployed. Considering the widely available choices of ERP systems to date and the multi criteria decision making nature of selecting ERP, this research objected to search a model to effectively choose ERP system, thus maximizing values of implementing ERP and minimizing cost. This paper built on previous researches on ERP investment analysis and business model for village Phone Company to support entrepreneurial development in rural communities. Strategic alignment model and analytical network process were integrated to support alignment of ERP investment decision to business strategy. Strategic alignment model provides context to which ERP meets business strategy. Technology potential alignment perspective was used for Low Cost NGN Phone Company. This alignment perspective provides control hierarchy for the analytic network process. Analytic network process enables the model to incorporate multi-criteria decision making and derive priorities from complex structure. Three clusters with total of nine elements with dependence and feedback among the elements were used. Three ERP alternatives were compared, the open source ERP was found as the best alternative for Low Cost NGN Phone Company. Evaluation was based on the business strategy, IT strategy, and information system infrastructure and process.
Mechanistic modelling of carbon allocation among sinks A generalised Münch model for branched architectures

Partitioning of carbohydrate between competing sites is fundamental to all plant development, growth, and eventually yield. Carbohydrate is synthesised in the mature leaves and distributed by the phloem vasculature to sites of utilisation. The mechanism currently believed to drive phloem transport was proposed by Münch in 1928 and only recently generally accepted. However, the processes determining how much goes to each competing sink are still unknown. Models of plant growth that integrate knowledge of the individual processes still rely upon empirical algorithms to describe carbon (C) partitioning, which is a major bottleneck to allow truly predictive modelling, especially in changing conditions (Lacointe 2000, Minchin and Lacointe 2005), and can only be solved through mechanistic understanding.
Glycine Betaine, Carnitine, and Choline Enhance Salinity Tolerance and Prevent the Accumulation of Sodium to a Level Inhibiting Growth of Tetragenococcus halophila

ABSTRACT Natural-abundance 13C-nuclear magnetic resonance was used to probe the intracellular organic solute content of the moderately halophilic bacterium Tetragenococcus halophila. When grown in complex growth media supplemented or not with NaCl,T. halophila accumulates glycine betaine and carnitine. Unlike other moderate halophiles, T. halophila was not able to produce potent osmoprotectants (such as ectoines and glycine betaine) through de novo synthesis when cultured in defined medium under hyperosmotic constraint. Addition of 2 mM carnitine, glycine betaine, or choline to defined medium improved growth parameters, not only at high salinity (up to 2.5 M NaCl) but also in media lacking NaCl. These compounds were taken up when available in the surrounding medium. The transport activity occurred at low and high salinities and seems to be constitutive. Glycine betaine and carnitine were accumulated by T. halophila in an unmodified form, while exogenously provided choline led to an intracellular accumulation of glycine betaine. This is the first evidence of the existence of a choline-glycine betaine pathway in a lactic acid bacterium. An assay showed that the compatible solutes strikingly repressed the accumulation of glutamate and slightly increased the intracellular potassium level only at high salinity. Interestingly, osmoprotectant-treated cells were able to maintain the intracellular sodium concentration at a relatively constant level (200 to 300 nmol/mg [dry weight]), independent of the NaCl concentration of the medium. In contrast, in the absence of osmoprotectant, the intracellular sodium content increased sharply from 200 to 2,060 nmol/mg (dry weight) when the salinity of the medium was raised from 1 to 2 M. Indeed, the imported compatible solutes play an actual role in regulating the intracellular Na+ content and confer a much higher salt tolerance to T. halophila.
Business Value of Partner's It Investments: an Assessment of Value Co- Created in Buyer-supplier Relationships

Contemporary research on business value has examined the impacts of IT investments at various levels of analysis. This research examines the impacts of IT investments by a partner. The impacts of partner’s investments are examined for the individual firms, as well as for the overall value co-created for the relationship. Further, we examine whether the value that is co-created is in fact appropriated across both the partners. A dyad level of analysis is used to examine the impacts of a partner’s IT investments. Results and implication for future research are discussed to elaborate on the contributions of the study.
Performance modeling of network coding based epidemic routing in DTNs

In Delay Tolerant Networks (DTNs), how to transmit data efficiently is one of the most important issues. Recently, Random Linear Network Coding (RLNC) is proposed as a promising approach to improve data transmission efficiency in DTNs. To facilitate the development of deployment of RLNC based routing protocols, it is imperative to quantify the performance gain brought by RLNC in a rigorous and systematic way. In this paper, we develop an analytical model to evaluate the data transmission performance of RLNC based epidemic routing in DTNs. In the model, we consider that multiple unicast communication sessions compete for limited transmission capacity. Numerical results validate the effectiveness of our analytical model and demonstrate the significant performance improvement for data transmission in DTNs by using RLNC. Our work in this paper provides a general tool for performance evaluation and useful guidelines for designing RLNC based routing protocols in DTNs.
Bimodal spectroscopy for in vivo characterization of hypertrophic skin tissue : pre-clinical experimentation, data selection and classification

This study aims at investigating the efficiency of bimodal spectroscopy in detection of hypertrophic scar tissue on a preclinical model. Fluorescence and Diffuse Reflectance spectra were collected from 55 scars deliberately created on ears of 20 rabbits, amongst which some received tacrolimus injection to provide non-hypertrophic scar tissue. The spectroscopic data measured on hypertrophic and non-hypertrophic scar tissues were used for developing our classification algorithm. Spectral features were extracted from corrected data and analyzed to classify the scar tissues into hypertrophic or non-hypertrophic. The Algorithm was developed using k-NN classifier and validated by comparing to histological classification result with Leave-One-Out cross validation. Bimodal spectroscopy showed promising results in detecting hypertrophic tissue (sensibility 90.5%, specificity 94.4%). The features used for classification were extracted from the autofluorescence spectra collected at 4 CEFS with excitations at 360, 410, and 420 nm. This indicates the hypertrophic process may involve change in concentration of several fluorophores (collagen, elastin and NADH) excited in this range, or modification in volume of explored tissue layers (epidermis and dermis) due to tissue thickening.
A Comparison of Model Predictive Control Schemes for MV Induction Motor Drives

In medium-voltage (MV) drives, the switching frequency is limited to a few hundred Hz, for which high-performance control and modulation schemes are necessary to maintain acceptable current and torque distortion. Forced machine current control (FMCC) is a predictive control strategy for MV drives which was proposed in the early 1980s, which can be formulated for either torque or current control. Recently, model predictive direct torque control (MPDTC) and model predictive direct current control (MPDCC) have been developed, sharing with FMCC the use of hysteresis bounds, switching and prediction horizons. However, the relative performances of these schemes are yet to be compared. Through simulation, this paper compares the schemes across a range of operating points. It is shown that the steady-state performance of MPDxC and FMCC is similar when the switching horizon of MPDxC is limited. However, when the switching horizon is extended, the performance of MPDxC is shown to be superior to FMCC, the horizon of which is inherently restricted.
LMI optimization problem of delay-dependent robust stability criteria for stochastic systems with polytopic and linear fractional uncertainties

LMI optimization problem of delay-dependent robust stability criteria for stochastic systems with polytopic and linear fractional uncertainties This paper studies an LMI optimization problem of delay-dependent robust stability criteria for stochastic systems with polytopic and linear fractional uncertainties. The delay is assumed to be time-varying and belong to a given interval, which means that lower and upper bounds of this interval time-varying delay are available. The uncertainty under consideration includes polytopic-type uncertainty and linear fractional norm-bounded uncertainty. Based on the new Lyapunov-Krasovskii functional, some inequality techniques and stochastic stability theory, delay-dependent stability criteria are obtained in terms of Linear Matrix Inequalities (LMIs). Moreover, the derivative of time delays is allowed to take any value. Finally, four numerical examples are given to illustrate the effectiveness of the proposed method and to show an improvement over some results found in the literature.
MicroRNAs Regulate Cellular ATP Levels by Targeting Mitochondrial Energy Metabolism Genes during C2C12 Myoblast Differentiation

In our previous study, we identified an miRNA regulatory network involved in energy metabolism in porcine muscle. To better understand the involvement of miRNAs in cellular ATP production and energy metabolism, here we used C2C12 myoblasts, in which ATP levels increase during differentiation, to identify miRNAs modulating these processes. ATP level, miRNA and mRNA microarray expression profiles during C2C12 differentiation into myotubes were assessed. The results suggest 14 miRNAs (miR-423-3p, miR-17, miR-130b, miR-301a/b, miR-345, miR-15a, miR-16a, miR-128, miR-615, miR-1968, miR-1a/b, and miR-194) as cellular ATP regulators targeting genes involved in mitochondrial energy metabolism (Cox4i2, Cox6a2, Ndufb7, Ndufs4, Ndufs5, and Ndufv1) during C2C12 differentiation. Among these, miR-423-3p showed a high inverse correlation with increasing ATP levels. Besides having implications in promoting cell growth and cell cycle progression, its function in cellular ATP regulation is yet unknown. Therefore, miR-423-3p was selected and validated for the function together with its potential target, Cox6a2. Overexpression of miR-423-3p in C2C12 myogenic differentiation lead to decreased cellular ATP level and decreased expression of Cox6a2 compared to the negative control. These results suggest miR-423-3p as a novel regulator of ATP/energy metabolism by targeting Cox6a2.