gebhart/patrepeval huggingface dataset:
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface (2017)

Brain-Computer Interface (BCI) is a system empowering humans to communicate with or control the outside world with exclusively brain intentions. Electroencephalography (EEG) based BCIs are promising solutions due to their convenient and portable instruments. Motor imagery EEG (MI-EEG) is a kind of most widely focused EEG signals, which reveals a subjects movement intentions without actual actions. Despite the extensive research of MI-EEG in recent years, it is still challenging to interpret EEG signals effectively due to the massive noises in EEG signals (e.g., low signal noise ratio and incomplete EEG signals), and difficulties in capturing the inconspicuous relationships between EEG signals and certain brain activities. Most existing works either only consider EEG as chain-like sequences neglecting complex dependencies between adjacent signals or performing simple temporal averaging over EEG sequences. In this paper, we introduce both cascade and parallel convolutional recurrent neural network models for precisely identifying human intended movements by effectively learning compositional spatio-temporal representations of raw EEG streams. The proposed models grasp the spatial correlations between physically neighboring EEG signals by converting the chain like EEG sequences into a 2D mesh like hierarchy. An LSTM based recurrent network is able to extract the subtle temporal dependencies of EEG data streams. Extensive experiments on a large-scale MI-EEG dataset (108 subjects, 3,145,160 EEG records) have demonstrated that both models achieve high accuracy near 98.3% and outperform a set of baseline methods and most recent deep learning based EEG recognition models, yielding a significant accuracy increase of 18% in the cross-subject validation scenario.
Horticultural development of Australian native edible plants (2000)

The Australian native edible plant industry is rapidly expanding. We provide a review of the horticultural research that has been carried out on the top 14 commercially significant Australian native edible plants; Acacia spp. Miller (wattle), Acronychia acidula F.Muell. (lemon aspen), Backhousia citriodora F.Muell. (lemon myrtle), Eremocitrus glauca (Lindl.) Burkill (desert lime) and Microcitrus spp. Swingle (native lime), Hibiscus heterophyllus Vent. and Hibiscus sabdariffa L. (rosella), Kunzea pomifera F.Muell. (muntries), Podocarpus elatus R.Br. ex Endl. (Illawarra plum), Prostanthera spp. La Billardiere (native mint), Santalum acuminatum R.Br. (quandong), Solanum centrale Black (bush tomato), Syzygium leuhmannii F.Muell. (riberry), Tasmannia spp. R.Br. (native pepper), Terminalia ferdinandiana (= T. latipes Benth. subsp. psilocarpa Pedley) (kakadu plum) and Tetragonia tetragonioides (Pallas) Kuntze (warrigal greens). The research on most of these species has focused on propagation, breeding, cultivation, nutritional value and the isolation of natural products. On none of the species has research been completed in all these areas, and three species have no research published on them. We describe horticultural research on two other commercial species, Backhousia anisata Vickery (aniseed myrtle) and Davidsonia pruriens F.Muell. var. pruriens and var. jerseyana (Davidson’s plum), and one species with commercial potential, Pringlea antiscorbutica R.Br. ex Hook.f. (kerguelen cabbage). We identify areas that require further research and issues of concern, such as indigenous intellectual property rights and environmental implications.
Bias-compensated RPCs for Sensor Orientation of High-resolution Satellite Imagery (2005)

The demand for higher quality metric products from high-resolution satellite imagery (HRSI) is growing, and the number of HRSI sensors and product options is increasing. There is a greater need to fully understand the potential and indeed shortcomings of alternative photogrammetric sensor orientation models for HRSI. To date, rational functions have proven to be a viable alternative model for geo-positioning, and with the recent innovation of bias-compensated RPC bundle adjustment, it has been demonstrated that sensor orientation to sub-pixel level can be achieved with minimal ground control. Questions have lingered, however, as to the general suitability of bias-compensated rational polynomial coefficients (RPCS), and indeed rational functions in general. The purpose of this paper is to demonstrate the wide applicability of bias-compensated RPCs for high-accuracy geopositioning from stereo HRSI. The case of stereo imagery over mountainous terrain will be specifically addressed, and results of experimental testing of both Ikonos and QuickBird imagery will be presented. © 2005 American Society for Photogrammetry and Remote Sensing.
Strong and Regulated Expression of <i>Escherichia coli</i> β-Galactosidase in Insect Cells with a Baculovirus Vector (1984)

The N-terminal region of the gene encoding polyhedrin, the major occlusion protein of the insect baculovirus Autographa californica nuclear polyhedrosis virus (AcNPV), has been fused to DNA encoding Escherichia coli beta-galactosidase. The fused gene was inserted into the AcNPV DNA genome by cotransfection of insect cells with recombinant plasmid DNA and wild-type AcNPV genomic DNA. Recombinant viruses were selected as blue plaques in the presence of a beta-galactosidase indicator, 5-bromo-4-chloro-3-indolyl-beta-D-galactopyranoside. Studies of one such virus, L1GP-gal3, indicated that the synthesis of beta-galactosidase is temporally controlled beginning late (20 h) in infection after the release of infectious virus particles from the cell. By 48 h postinfection, a remarkably high level of expression is achieved. On the basis of these results, AcNPV should be a useful vector for the stable propagation and expression of passenger genes in a lepidopteran cell background. A generalized transplacement vector that facilitates the construction and selection of recombinant viruses carrying passenger genes under their own promoter control has also been developed.
On-chip interconnect evaluation on delay time increase by crosstalk (2003)

This paper describes on-chip interconnect evaluation on the delay time increase by crosstalk. The new test configurations were applied to evaluate the impact of low-k materials and improved circuit techniques on the delay time increase by crosstalk. It is found that the reduction of Cl for low-k materials, organic and air gap, is effective in reducing the delay time increase by crosstalk. Also, it is experimentally verified that improved circuit techniques such as repeaters and variable pitch routers significantly reduce not only interconnect delay but also delay time increase by crosstalk.
Utilization of modified polar coordinates for bearings-only tracking (1983)

Previous studies have shown that the Cartesian coordinate extended Kalman filter exhibits unstable behavior characteristics when utilized for bearings-only target motion analysis (TMA). In contrast, formulating the TMA estimation problem in modified polar (MP) coordinates leads to an extended Kalman filter which is both stable and asymptotically unbiased. Exact state equations for the MP filter are derived without imposing any restrictions on own-ship motion; thus, prediction accuracy inherent in the traditional Cartesian formulation is completely preserved. In addition, these equations reveal that MP coordinates are well-suited for bearings-only TMA because they automatically decouple observable and unobservable components of the estimated state vector. Such decoupling is shown to prevent covariance matrix ill-conditioning, which is the primary cause of filter instability. Further investigation also confirms that the MP state estimates are asymptotically unbiased. Realistic simulation data are presented to support these findings and to compare algorithm performance with respect to the Cramer-Rao lower bound (ideal) as well as the Cartesian and pseudolinear filters.
Phase II Trial of Bevacizumab in Recurrent or Persistent Endometrial Cancer: A Gynecologic Oncology Group Study (2011)

Bevacizumab is well tolerated and active based on PFS at 6 months in recurrent or persistent EMC and warrants further investigation.
Past Conference Report of Applied Nanotechnology Summit China (2019)

Thanks for attending 31st Annual Congress on Nanotechnology and Nanomaterials May 15-16, 2019 Prague, Czech Republic Nanotechnology Summit 2020 witnessed an amalgamation of outstanding speakers who enlightened the crowd with their knowledge and confabulated on various new-fangled topics related to the field of Nanotechnology. With the attendance of young and brilliant researchers, business delegates and talented student communities representing diverse countries around the world The meeting captivated a vicinity of utilitarian discussions on novel subjects like Advances in Directors, Principal Investigators, Methodologists, and other research professionals along with Academicians: University Faculties like Directors, Senior Professors/Assistant Professors/ Associate Professor, Research Scholars, scientists who are related to nanotechnology to mention a few. The conceptual and pertinent knowledge shared, will correspondingly foster organizational collaborations to nurture scientific accelerations.
Neuropathological sequelae of traumatic brain injury: relationship to neurochemical and biomechanical mechanisms. (1996)

Brain injury is the leading cause of death among individuals under the age of 45 years in the United States and Europe. Recently, the neuropathologic classification of posttraumatic brain damage has provided insight into the specific mechanisms underlying traumatically induced neuronal damage and death. Studies regarding the biomechanics of brain trauma have also provided great insight into the pathophysiologic mechanisms underlying specific patterns of posttraumatic cellular death. Based upon recent clinical evaluations and biomechanical studies, laboratory models of human brain injury have been developed that faithfully reproduce a number of important features of clinical brain trauma. Biomechanical models have been used to study both the acute sequelae of brain injury and the role of neurochemical alterations in contributing to the development of secondary or delayed cellular death and damage. This report reviews and integrates the laboratory investigations linking experimental models of brain injury to clinical diagnosis and treatment.
Optimization of an appointment scheduling problem for healthcare systems based on the quality of fairness service using whale optimization algorithm and NSGA-II (2021)

Effective appointment scheduling (EAS) is essential for the quality and patient satisfaction in hospital management. Healthcare schedulers typically refer patients to a suitable period of service before the admission call closes. The appointment date can no longer be adjusted. This research presents the whale optimization algorithm (WOA) based on the Pareto archive and NSGA-II algorithm to solve the appointment scheduling model by considering the simulation approach. Based on these two algorithms, this paper has addressed the multi-criteria method in appointment scheduling. This paper computes WOA and NSGA with various hypotheses to meet the analysis and different factors related to patients in the hospital. In the last part of the model, this paper has analyzed NSGA and WOA with three cases. Fairness policy first come first serve (FCFS) considers the most priority factor to obtain from figure to strategies optimized solution for best satisfaction results. In the proposed NSGA, the FCFS approach and the WOA approach are contrasted. Numerical results indicate that both the FCFS and WOA approaches outperform the strategy optimized by the proposed algorithm.
The Adverse Effects of Auditory Stress on Mouse Uterus Receptivity and Behaviour (2017)

Stress during gestation has harmful effects on pregnancy outcome and can lead to spontaneous abortion. Few studies, however, have addressed the impact of gestational stress, particularly auditory stress, on behavioural performance and pregnancy outcome in mice. This study aimed to examine the effect of two types of gestational stress on uterus receptivity and behavioural performance. Pregnant C57BL/6 mice were randomly assigned to either auditory or physical stress conditions or a control condition from gestational days 12-16. The auditory stress regimen used loud 3000 Hz tone, while the physical stressor consisted of restraint and exposure to an elevated platform. Three behavioural tests were performed in the dams after weaning. Uterine receptivity was investigated by counting the number of sites of implantation and fetal resorption. Also, the offspring survival rates during the early postnatal period were calculated. Auditory stress caused an increase in anxiety-like behaviour, reduced time spent exploring new object/environment, and reduced balance when compared to the physical stress and control groups. Auditory stress also caused higher rates of resorbed embryos and reduction of litter size. Our results suggest that the adverse effect of noise stress is stronger than physical stress for both uterus receptivity and behavioural performance of the dams.
A co-module approach for elucidating drug–disease associations and revealing their molecular basis (2012)

Supplementary data are available at Bioinformatics online.
Architecture and DSP Implementation of a DVB-S2 Baseband Demodulator (2009)

This paper presents the design and implementation of a baseband demodulator for DVB-S2 satellite receivers. In order to meet the requirements of different complex and multidomain signal processing stages of the DVB-S2 baseband signal-flow, the presented architecture is based on efficient fixed-point implementation of the various demodulation algorithms and on the use of a dynamic time-sharing scheduler for the various DSP software tasks. The prototyping of the demodulator and its verification in the design of a complete digital DVB-S2 satellite receiver using a versatile testbed is also presented.
Evidence that peroxiredoxins are novel members of the thioredoxin fold superfamily (1998)

Peroxiredoxins catalyze reduction of hydrogen peroxide or alkyl peroxide, to water or the corresponding alcohol. Detailed analysis of their sequences indicates that these enzymes possess a thioredoxin (Trx)-like fold and consequently are homologues of both thioredoxin and glutathione peroxidase (GPx). Sequence- and structure-based multiple sequence alignments indicate that the peroxiredoxin active site cysteine and GPx active site selenocysteine are structurally equivalent. Homologous peroxiredoxin and GPx enzymes are predicted to catalyze equivalent reactions via similar reaction intermediates.
Dietary Intervention Impacts Immune Cell Functions and Dynamics by Inducing Metabolic Rewiring (2021)

Accumulating evidence has shown that nutrient metabolism is closely associated with the differentiation and functions of various immune cells. Cellular metabolism, including aerobic glycolysis, fatty acid oxidation, and oxidative phosphorylation, plays a key role in germinal center (GC) reaction, B-cell trafficking, and T-cell-fate decision. Furthermore, a quiescent metabolic status consolidates T-cell-dependent immunological memory. Therefore, dietary interventions such as calorie restriction, time-restricted feeding, and fasting potentially manipulate immune cell functions. For instance, intermittent fasting prevents the development of experimental autoimmune encephalomyelitis. Meanwhile, the fasting response diminishes the lymphocyte pool in gut-associated lymphoid tissue to minimize energy expenditure, leading to the attenuation of Immunoglobulin A (IgA) response. The nutritional status also influences the dynamics of several immune cell subsets. Here, we describe the current understanding of the significance of immunometabolism in the differentiation and functionality of lymphocytes and macrophages. The underlying molecular mechanisms also are discussed. These experimental observations could offer new therapeutic strategies for immunological disorders like autoimmunity.
Efficient code generation from SHIM models (2006)

Programming concurrent systems is substantially more difficult than programming sequential systems, yet most embedded systems need concurrency. We believe this should be addressed through higher-level models of concurrency that eliminate many of the usual challenges, such as nondeterminism arising from races.The shim model of computation provides deterministic concurrency, and there already exist ways of implementing it in hardware and software. In this work, we describe how to produce more efficient C code from shim systems.We propose two techniques: a largely mechanical one that produces tail-recursive code for simulating concurrency, and a more clever one that statically analyzes the communication pattern of multiple processes to produce code with far less overhead. Experimentally, we find our tail-recursive technique produces code that runs roughly twice as fast as a baseline; our statically-scheduled code can run up to twelve times faster.
WiFi-Enabled Smart Human Dynamics Monitoring (2017)

The rapid pace of urbanization and socioeconomic development encourage people to spend more time together and therefore monitoring of human dynamics is of great importance, especially for facilities of elder care and involving multiple activities. Traditional approaches are limited due to their high deployment costs and privacy concerns (e.g., camera-based surveillance or sensor-attachment-based solutions). In this work, we propose to provide a fine-grained comprehensive view of human dynamics using existing WiFi infrastructures often available in many indoor venues. Our approach is low-cost and device-free, which does not require any active human participation. Our system aims to provide smart human dynamics monitoring through participant number estimation, human density estimation and walking speed and direction derivation. A semi-supervised learning approach leveraging the non-linear regression model is developed to significantly reduce training efforts and accommodate different monitoring environments. We further derive participant number and density estimation based on the statistical distribution of Channel State Information (CSI) measurements. In addition, people's walking speed and direction are estimated by using a frequency-based mechanism. Extensive experiments over 12 months demonstrate that our system can perform fine-grained effective human dynamic monitoring with over 90% accuracy in estimating participants number, density, and walking speed and direction at various indoor environments.
Ionization coefficients of electrons and holes in InP (1979)

The ionization coefficients of electrons and holes in InP have been determined from photomultiplication measurements on abrupt-junction low-leakage np+ InP avalanche photodiodes. The ionization rate of holes ( β) was found to be greater than that for electrons (α), the ratio varying with peak electric field Em from β/α=3.8 at Em=4.85×105 V cm−1 to β/α=2.7 at Em=6.37×105 V cm−1.
A Short Introduction to Learning to Rank (2011)

Learning to rank refers to machine learning techniques for training the model in a ranking task. Learning to rank is useful for many applications in Information Retrieval, Natural Language Processing, and Data Mining. Intensive studies have been conducted on the problem and significant progress has been made[1],[2]. This short paper gives an introduction to learning to rank, and it specifically explains the fundamental problems, existing approaches, and future work of learning to rank. Several learning to rank methods using SVM techniques are described in details.
The Influence of Post‐mortem Glycolysis on Poultry Tenderness <sup>a</sup> (1963)

SUMMARY The minimization of post‐mortem glycolysis by 1) subcutaneous injections of adrenaline, which eliminates muscle glycogen ante‐mortem, 2) intravenous injections of sodium iodoacetate, which inhibits phosphoglyceraldehyde dehydrogenase, or 3) rapid cooking, has resulted in poultry meat that is tender without aging. Since these treatments accelerate rigor mortis, the elimination of post‐mortem glycolysis eliminates the toughening associated with an acceleration of rigor mortis in normal birds.
Endogenous viral complexes with long RNA cosediment with the agent of Creutzfeldt-Jakob Disease (1994)

A class of viruslike agents that induces Creutzfeldt-Jakob Disease (CJD) and scrapie remains undefined at the molecular level. Several investigators believe this infectious agent is constituted by a single host protein or 'prion', and have emphasized data that would seem to exclude the presence of any viral nucleic acids. However, more rigorous evaluations in scrapie have shown reasonably abundant nucleic acids. Additionally, in highly purified 120S CJD preparations that have been treated with nucleases, RNAs as long as 6,000 bases have been detected. Few nucleic acids have been characterized in either scrapie or CJD, but previous cloning experiments delineated relatively short LTR regions of the endogenous IAP retrovirus in 120S CJD preparations. We therefore used specific primers encompassing the entire IAP genome to test for the presence of long viral RNAs, and here show approximately 5,000 contiguous bases of the IAP RNA genome can be recovered from reasonable amounts of starting brain. The 3' env region of IAP is comparably truncated in CJD and normal preparations, and we find no evidence for IAP transduction of CJD-specific sequences. Because IAP cores can coencapsidate unrelated sequences, and are unusually resistant to physical and chemical treatments, it was relevant to find if cosedimenting cognate proteins of the IAP core, such as gag, could be detected. The predicted approximately 65 kd acidic gag protein, showing appropriate antigenic and nucleic acid binding features, was apparent in both one and 2-D Western blots. This data strongly indicates specific viral complexes cofractionate with the CJD agent. Interestingly, these nuclease resistant IAPs do not appear to be in morphologically recognizable 'R' particles. This cosedimenting viral assembly therefore provides a paradigm for non-particulate CJD complexes in infectious preparations. In developing strategies to identify a CJD specific sequence, cosedimenting IAPs can be used to assess the quality, length and recovery of RNAs extracted from highly resistant viral complexes.
A novel model of demyelination and remyelination in a GFP-transgenic zebrafish (2014)

Demyelinating diseases consist of a variety of autoimmune conditions in which the myelin sheath is damaged due to genetic and/or environmental factors. During clinical treatment, some patients undergo partial remyelination, especially during the early disease stages. However, the mechanisms that regulate demyelination remain unclear. The myelin structure, myelin formation and myelin-related gene expression are highly conserved between mammals and zebrafish. Therefore, the zebrafish is an ideal model organism to study myelination. In this study, we generated a transgenic zebrafish Tg(mbp:nfsB-egfp) expressing a fusion protein composed of enhanced green fluorescent protein (EGFP) and NTR from the myelin basic protein (mbp) promoter. Tg(mbp:nfsB-egfp) expressed NTR-EGFP reproducibly and hereditarily in oligodendrocytes along the spinal cord. Treatment of zebrafish larvae Tg(mbp:nfsB-egfp) with metronidazole (Mtz) resulted in the selective ablation of oligodendrocytes and led to demyelination, accompanied by behavioral changes, including decreased total movement distance, velocity, total movement time and fast movement time. After withdrawal of Mtz for a seven day recovery period, the expression of EGFP and MBP protein was observed again which indicates remyelination. Additionally, locomotor capacity was restored. Collectively, Tg(mbp:nfsB-egfp), a heritable and stable transgenic line, provides a novel, powerful tool to study the mechanisms of demyelination and remyelination.