Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy-Efficient and High-Speed Robust Channel Identification Methodology to Solve Permutation Indeterminacy in ICA for Artifacts Removal from ECG in Remote Healthcare

In this paper we propose an energy-efficient and high-speed methodology for solving the permutation indeterminacy encountered in Independent Component Analysis (ICA) for artifacts removal from recorded 3-channel ECG signals within the remote health monitoring environment for cardiovascular patients. Unlike the existing approaches, the proposed algorithm takes into account the non-stationarity of the ECG signal thereby making this methodology more realistic. Since the proposed methodology is based on the adaptive template matching scheme, once the channel containing the intended ECG signal is detected, there is no need to continue this proposed methodology for the rest of the channels. Thus it saves computation time as well as minimizes the overall energy consumption of the system. The proposed methodology is tested using 275 ECG signal recordings of patients obtained from clinically well-known MIT-BIH PTB databases and real-life ECG data collected from University of Southampton hospital corrupted by an exhaustive set of 5 bodily artifacts and noise. The proposed methodology is found to save on the 55.55% of the otherwise incurred energy and 33.33% speed improvement as compared to the existing approaches.
Pathotype Classification of Plasmodiophora brassicae Isolates Using Clubroot-Resistant Cultivars of Chinese Cabbage

Clubroot disease caused by Plasmodiophora brassicae is one of the most serious diseases in Brassica crops worldwide. In this study, the pathotypes of 12 Korean P. brassicae field isolates were determined using various Chinese cabbage including 22 commercial cultivars from Korea, China, and Japan, and 15 inbred lines. All P. brassicae isolates exhibited the typical clubroot disease on non-clubroot resistant cultivar, indicating that the isolates were highly pathogenic. According to the reactions on the Williams’ hosts, the 12 field isolates were initially classified into five races. However, when these isolates were inoculated onto clubroot-resistant (CR) cultivars of Chinese cabbage, several isolates led to different disease responses even though the isolates have been assigned to the same race by the Williams’ host responses. Based on the pathogenicity results, the 12 field isolates were reclassified into four different groups: pathotype 1 (GN1, GN2, GS, JS, and HS), 2 (DJ and KS), 3 (HN1, PC, and YC), and 4 (HN2 and SS). In addition, the CR cultivars from Korea, China, and Japan exhibited distinguishable disease responses to the P. brassicae isolates, suggesting that the 22 cultivars used in this study, including the non-CR cultivars, are classified into four different host groups based on their disease resistance. Combining these findings, the four differential hosts of Chinese cabbage and four pathotype groups of P. brassicae might provide an efficient screening system for resistant cultivars and a new foundation of breeding strategies for CR Chinese cabbage.
The Application of A Novel Target Region Extraction Model Based on Object-Accumulated Visual Attention Mechanism

Combining bottom-up and top-down attention influences, a novel region extraction model which based on object-accumulated visual attention mechanism is proposed in this paper. Compared with early research, the new approach brings in prior information at the proper time, updates scan path dynamically, needs less computational resources and reduces the probability to direct the attention to a less-meaning area. The application to search an airport target in remote sensing image was provided, through which the novel mechanism that how visual attention chose the area was described. Compared with another two region extraction models, experimental results confirm the effectiveness of the approach proposed in this paper.
Measuring the quality of issue tracking data

Source code and its development history can represent the output and process of developing software. [1] But little attention has been devoted to the data quality. To help researchers and practioners preliminary evaluate the software development data they used in studies, we design a tool, Data Quality Evaluator (DQE), to measure the software development data, especially the data completeness of issue reports in an open source software (OSS) project’s issue tracking system (ITS). It is judged from three metrics -- the coherence of issue reports’ ID, the existence of an issue report’s basic information and activity information, and the completeness of changes on an issue report status. DQE will analyze the data submitted by users, and show users the data quality evaluation chart from three aspects. We had DQE applied to the GNOME community’s issue-tracking data that we collected for research, and we obtained the result of data quality evaluation. Next, we will continue to apply DQE to more software development data, so that we can help researchers and practioners conveniently get an initial evaluation of data quality.
SOME EFFECTS OF NITRIC OXIDE AND OXYGEN ON DOMINANT LETHAL PRODUCTION IN X-IRRADIATED DROSOPHILA VIRILIS MALES.

ITRIC oxide (NO) increases X-radiation damage approximately the same Namount as equal quantities of oxygen in Shigella flexneri ( HOWARD-FLANDERS 1957), Vicia faba (KIHLMAN 1958), ascites tumor cells (GRAY, GREEN, and HAWES 1958), and barley seeds with greater than 12 percent water content (SPARRMAN, EHRENBERG, and EHRENBERG 1959). These observations, as well as later comparisons of these gases in modifying X-radiation damage (HOWARDFLANDERS and JOCKEY 1960), have led these authors to conclude that oxygen and nitric oxide are equivalent in their ability to enhance X-radiation damage. POWERS and his coworkers (POWERS, KALETA, and WEBB 1959; POWERS, WEBB, and EHRET 1959; POWERS, WEBB, and KALETA 1960) have shown that nitric oxide can protect dry Bacillus megaterium spores against X-radiation damage, while the irradiation of the spores in similar amounts of oxygen increased the damage observed. Small amounts of nitric oxide can also protect bacteriophage in suspension against X-radiation damage (HOWARD-FLANDERS and LEVIN 1961 ; COTTON, RINEHART, and PETRUSEK, in preparation). Nitric oxide appears to have at least two major effects in Drosophila males ( CAPPS 1961 ) . Three to four percent nitric oxide: (1 ) delays spermatogenesis for 4 to 6 days in Drosophila virilis, and ( 2 ) increases dominant lethality in D. virilis and also the percentage of sex-linked recessive lethals in X-irradiated Drosophila melanogaster. Since 3 percent oxygen did not give the increase in dominant lethality whenever 3 percent nitric oxide did, CAPPS concluded that these gases were operating, at least in part, by separate mechanisms. The interpretation of these nitric oxide experiments in Drosophila is difficult, however, because of the delay in spermatogenesis associated with 3 to 4 percent NO. This delay is caused by a lack of sperm leading to nonfertilization and subsequent nondevelopment of some eggs and can not be distinguished from the nondevelopment of eggs fertilized
Behavioural Thresholds in the Context of Information Security

This research presents the exploratory application of behavioural threshold theory on group behaviour related to information security. Behavioural threshold analysis is presented as a possible tool for aiding the development of security awareness programs. Generic behavioural threshold analysis is presented and then applied in the domain of information security by collecting data on the behavioural thresholds of individuals in a group setting and how they influence each other when it comes to security behaviour. The results of behavioural threshold analysis are presented in order to illustrate the feasibility of the approach as an aid for the development of security awareness programs.
Kainate receptor subunit diversity underlying response diversity in retinal Off bipolar cells

The temporal signals mediated by postsynaptic kainate receptors differ depending on subunit composition (GluK1–GluK5) and the presence of the auxiliary subunits Neto1 and Neto2. In ground squirrel retina, four anatomical types of Off bipolar cells can be divided into two functional groups, cb1a/b and cb3a/b, based on differences in the temporal responses of their kainate receptors to cone glutamate release; the kainate receptor subunits expressed by the two groups are not known. Our pharmacological results suggests that cb1 and cb3 cells both express the GluK1 subunit, a finding corroborated in cb3 cells by in situ hybridization with a GluK1‐specific probe. Additional results from pharmacology, in situ hybridization and immunohistochemistry suggest that the temporal differences in receptor responses may arise through the selective expression in cb3 cells of GluK3, GluK5, and Neto1. These results establish a relationship between kainate receptor subunit composition and parallel signal processing at the cone photoreceptor synapse.
Thin 2-D leaky-wave antenna formed by a double layer periodic array

The paper introduces a new type of 2D resonant cavity type LWA. The antenna is formed from a two metamaterial surfaces (MGP and PRS) which are placed in direct contact. Eliminating the air cavity reduces the thickness of the structure whilst also simplifying fabrication and assembly. Two antenna designs are presented. The first antenna has a cavity height of lambda/7 (at 3.65 GHz). It is fed by a microstrip patch and yields 14.87 dBi of boresight gain at 3.65 GHz. The second design has a cavity height of lambda0/19.9 (at 3.65GHz) and yields 19.89 dBi of peak directivity at 3.71 GHz.
A glutamic finger in the guanine nucleotide exchange factor ARNO displaces Mg2+ and the β‐phosphate to destabilize GDP on ARF1

The Sec7 domain of the guanine nucleotide exchange factor ARNO (ARNO‐Sec7) is responsible for the exchange activity on the small GTP‐binding protein ARF1. ARNO‐Sec7 forms a stable complex with the nucleotide‐free form of [Δ17]ARF1, a soluble truncated form of ARF1. The crystal structure of ARNO‐Sec7 has been solved recently, and a site‐directed mutagenesis approach identified a hydrophobic groove and an adjacent hydrophilic loop as the ARF1‐binding site. We show that Glu156 in the hydrophilic loop of ARNO‐Sec7 is involved in the destabilization of Mg2+ and GDP from ARF1. The conservative mutation E156D and the charge reversal mutation E156K reduce the exchange activity of ARNO‐Sec7 by several orders of magnitude. Moreover, [E156K]ARNO‐Sec7 forms a complex with the Mg2+‐free form of [Δ17]ARF1‐GDP without inducing the release of GDP. Other mutations in ARNO‐Sec7 and in [Δ17]ARF1 suggest that prominent hydrophobic residues of the switch I region of ARF1 insert into the groove of the Sec7 domain, and that Lys73 of the switch II region of ARF1 forms an ion pair with Asp183 of ARNO‐Sec7.
Is Eurasian snow cover in October a reliable statistical predictor for the wintertime climate on the Iberian Peninsula?

In this study, the recently found lead–lag relationship between Eurasian snow cover increase in October and wintertime precipitation totals on the Iberian Peninsula is re‐visited and generalized to a broad range of atmospheric variables on the synoptic and local scale. To this aim, a robust (resistant to outliers) method for calculating the index value for Eurasian snow cover increase in October is proposed. This ‘Robust Snow Advance Index’ (RSAI) is positively correlated with the wintertime (DJF) frequency of cyclonic and westerly flow circulation types over the Iberian Peninsula, while the corresponding relationship with anticyclonic and easterly flow types is negative. For both cases, an explained variance of approximately 60% indicates a strong and highly significant statistical link on the synoptic scale.
Software sizing and costing models: a survey of empirical validation and comparison studies

Effective software cost and size estimation is essential for planning and resource allocation in software development. Recent empirical work which attempts to validate, or which compares, software size and cost estimation models and tools is surveyed. Some observations are made concerning the rather poor results frequently obtained and the need for calibration of models for specific development environments.
An eight-channel demultiplexing switch array using vertically coupled active semiconductor microdisk resonators

We demonstrate a 1.6-nm spectrally spaced eight-channel demultiplexer using active semiconductor microdisk resonators as a platform technology. Taking full advantage of the active microdisks, we are able to switch on and off a resonator individually and tune the resonant wavelength as well by controlling the current injection levels. The use of active microdisks affords narrow spectral linewidth (<0.15 nm), low insertion loss (<2.5 dB), and distinct channel isolation (>15 dB) for the demultiplexed output signals.
Wideband Steady-State Model of a Strained InGaAsP MQW-SOA

A steady-state model of a strained MQW-SOA is described. Least-squares fitting of the model to experimental polarization resolved amplified spontaneous emission spectra is used to obtain difficult to measure model parameters such as the linebroadening lineshape parameters, Auger recombination, bandgap shrinkage, and intervalence band absorption coefficients. Well capture and escape processes are modeled by a carrier density dependent net escape time which accounts for barrier effects. Simulations and comparisons with experimental data are given which demonstrate the accuracy and versatility of the model.
OpenCL performance portability for general‐purpose computation on graphics processor units: an exploration on cryptographic primitives

The modern trend toward heterogeneous many‐core architectures has led to high architectural diversity in both high performance and high‐end embedded systems. To effectively exploit the computational resources of such a wide range of architectures, programming languages and APIs such as OpenCL have become increasingly popular. Although OpenCL provides functional code portability and the ability to fine tune the application to the target hardware, providing performance portability is still an open problem. Thus, many research works have investigated the optimization of specific combinations of application and target platform. In this paper, we aim at leveraging the experience obtained in the implementation of algorithms from the cryptography domain to provide a set of guidelines for modern many‐core heterogeneous architecture performance portability and to establish a base on which domain‐specific languages and compiler transformations could be built in the near future. We study algorithmic choices and the effect of compiler transformations on three representative applications in the chosen domain on a set of seven target platforms. To estimate how well the application fits the architecture, we define a metric of computational intensity both for the architecture and the application implementation. Besides being useful to compare either different implementation or algorithmic choices and their fitness to a specific architecture, it can also be useful to the compiler to guide the code optimization process. Copyright © 2014 John Wiley & Sons, Ltd.
Pulmonary perfusion after rt-PA therapy for acute embolism: early improvement assessed with segmental perfusion scanning.

To determine if pulmonary perfusion was improved in acute pulmonary embolism after therapy with recombinant human tissue-type plasminogen activator (rt-PA), lung scans were obtained before and a mean of 22 hours after therapy in 19 patients. The posttherapy lung scans were compared with baseline, pretherapy scans with use of two semiquantitative methods--an anteroposterior view method, similar to that used in the Urokinase Pulmonary Embolism Trial, and a segmental method that emphasized pulmonary anatomy. There was an improvement in the defect score from 0.35 to 0.14 (P less than .01) when the anteroposterior view method was used and from 0.37 to 0.16 (P less than .01) when the segmental method was used. These encouraging results in the early posttherapy period suggest that rt-PA is especially effective in improving regional perfusion after pulmonary embolism and that a larger controlled trial of therapy with rt-PA for acute pulmonary embolism should be performed. Scoring lung scans with a segmental method is feasible and appropriate for present-day lung scan technique and should be considered in future studies.
Anti‐inflammatory effects of simvastatin in diabetic compared to non‐diabetic patients on chronic hemodialysis (在进行慢性血液透析的糖尿病患者以及非糖尿病患者中对比辛伐他汀的抗炎作用)

Statins, beyond their lipid lowering effects, exert their cardiovascular effects through their pleiotropic actions. We undertook this study to determine the potential differences in intensity and timing of the anti-inflammatory effects of statins between patients with and without diabetes mellitus (DM) so as to detect the particular traits associated with cardiovascular risk as well as benefits from statins in patients with DM, a known state of chronic inflammation and high oxidative stress and an independent risk factor for cardiovascular disease (CVD). Both patient groups were recruited among patients with end-stage renal disease (ESRD) on chronic hemodialysis (HD), a subpopulation already at chronic inflammation and oxidative stress and, thus, undergoing accelerated atherogenetic process, in anticipation that these patients are more amenable to measurable shortterm effects from the treatment.
H ∞ Fuzzy Filter for Nonlinear Singularly Perturbed Systems

This paper addresses the problem of designing an H∞ filter for a class of nonlinear singularly perturbed systems described by a Takagi-Sugeno (TS) fuzzy model. Based on a linear matrix inequality (LMI) approach, we develop a fuzzy H∞ filter that guarantees the L2-gain from an exogenous input to a filter error to be less than or equal to a prescribed value. In order to alleviate the ill-conditioning resulting from the interaction of slow and fast dynamic modes, solutions to the problem are given in terms of linear matrix inequalities which are independent of the singular perturbation ε, when ε is sufficiently small. The proposed approach does not involve the separation of states into slow and fast ones and it can be applied not only to standard, but also to nonstandard singularly perturbed nonlinear systems.
The application of gold nanoparticles as a promising therapeutic approach in breast and ovarian cancer

The development of specialized nanoparticles (NPs) for use in the detection and treatment of cancer is increasing. In the last few years, gold nanoparticles (AuNPs) have been greatly studied in biological and photothermal therapeutic status. AuNPs can bind to a wide range of organic molecules, and their synthesis is easy. In this review, we summarize the characteristics of AuNPs, their contributions to tumor destruction, their toxicity, and their potential in the treatment of breast and ovarian cancer.
Tissue Transglutaminase-mediated Glutamine Deamidation of β-Amyloid Peptide Increases Peptide Solubility, Whereas Enzymatic Cross-linking and Peptide Fragmentation May Serve as Molecular Triggers for Rapid Peptide Aggregation*

Tissue transglutaminase (TGase) has been implicated in a number of cellular processes and disease states, where the enzymatic actions of TGase may serve in both, cell survival and apoptosis. To date, the precise functional properties of TGase in cell survival or cell death mechanisms still remain elusive. TGase-mediated cross-linking has been reported to account for the formation of insoluble lesions in conformational diseases. We report here that TGase induces intramolecular cross-linking of β-amyloid peptide (Aβ), resulting in structural changes of monomeric Aβ. Using high resolution mass spectrometry (MS) of cross-linked Aβ peptides, we observed a shift in mass, which is, presumably associated with the loss of NH3 due to enzymatic transamidation activity and hence intramolecular peptide cross-linking. We have observed that a large population of Aβ monomers contained an 0.984 Da increase in mass at a glutamine residue, indicating that glutamine 15 serves as an indispensable substrate in TGase-mediated deamidation to glutamate 15. We provide strong analytical evidence on TGase-mediated Aβ peptide dimerization, through covalent intermolecular cross-linking and hence the formation of Aβ1–40 dimers. Our in depth analyses indicate that TGase-induced post-translational modifications of Aβ peptide may serve as an important seed for aggregation.
Periodicity estimation under variations of scatterer spacings, thickness and pulse frequency: A 2D simulation study

Mean scatterer spacing (MSS) has been used to characterize biological tissues, however it is not well explored yet. This study simulated ultrasound (US) propagation through a simple scatterer numerical model (first approach to trabecular bone), under variations of scatterer spacings, thickness and pulse frequency, and evaluated the capacity of spectral methods in estimating MSS. MSS values of 0.8 and 1.0 mm were simulated. The methods provided correct estimates for 3.5 MHz in all jitter values. For 1 MHz, only the MSS of 1.2 mm was identified. Variation of scatterer thickness did not alter significantly MSS estimates. For trabecular bone assessment, the best US frequency may be between the two tested frequencies in this work.
Multilevel DC-Link Inverter and Control Algorithm to Overcome the PV Partial Shading

This letter presents for the first time the application of multilevel dc-link inverter to overcome the problem of partial shading of individual photovoltaic (PV) sources which are connected in series. The “PV permutation algorithm,” as a new method, is developed for the control of the inverter so as to extract the maximum power form each PV source under partial shading and to deliver all that power to the load. The algorithm is based on combination of the direct pulsewidth modulation, the sequential permutation PV sources, and the output generation to control the multilevel dc-link inverter. The algorithm is applied successfully to a seven-level inverter with separate maximum power point tracking algorithm for each PV source and under nonuniform irradiance (partial shading). Digital processing unit F28335 eZdsp is used to control the PV system in the real-time mode, and MATLAB-Simulink real-time data exchange is employed to display the extracted power and to control the system parameters via a designed graphical user interface window. The implementation and experimental results are presented.
Analog and Digital Optical Pulse Synthesizers Using Arrayed-Waveguide Gratings for High-Speed Optical Signal Processing

In this paper, analog and digital optical pulse synthesizers using high-resolution arrayed-waveguide gratings (AWG) have been developed. The analog type of optical synthesizer consists of an AWG with an integrated 45deg, curved-surfaced mirror, a 4-f lens system, and an optically addressable spatial light modulator. The effective frequency resolution is 14.5 GHz. A dispersion compensation experiment is successfully carried out and a transform-limited short pulse has been obtained. This digital type of optical synthesizer comprises 30 frequency separated channels with a spacing of 12.5 GHz, where each channel includes an amplitude modulator and a phase modulator. The rectangular-shaped pulse is generated with this pulse synthesizer, together with a 12.5-GHz-spacing, optical frequency comb. The synthesizer can generate an optical pulse with any waveform. Moreover, using periodic characteristics of the pulse synthesizer, a 250-GHz repetition rate pulse train was generated, in combination with an ultrawideband, waveguide type of Fabry-Perot electrooptic modulator.