255 research outputs found

    Theoretical Fitting for the Magnetic Susceptibility for Two-Dimensional Antiferromagnet

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    Fusing Multilabel Deep Networks for Facial Action Unit Detection

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    SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis.

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    Patients with schizophrenia often display impairments in the expression of emotion and speech and those are observed in their facial behaviour. Automatic analysis of patients' facial expressions that is aimed at estimating symptoms of schizophrenia has received attention recently. However, the datasets that are typically used for training and evaluating the developed methods, contain only a small number of patients (4-34) and are recorded while the subjects were performing controlled tasks such as listening to life vignettes, or answering emotional questions. In this paper, we use videos of professional-patient interviews, in which symptoms were assessed in a standardised way as they should/may be assessed in practice, and which were recorded in realistic conditions (i.e. varying illumination levels and camera viewpoints) at the patients' homes or at mental health services. We automatically analyse the facial behaviour of 91 out-patients - this is almost 3 times the number of patients in other studies - and propose SchiNet, a novel neural network architecture that estimates expression-related symptoms in two different assessment interviews. We evaluate the proposed SchiNet for patient-independent prediction of symptoms of schizophrenia. Experimental results show that some automatically detected facial expressions are significantly correlated to symptoms of schizophrenia, and that the proposed network for estimating symptom severity delivers promising results.Comment: 13 pages, IEEE Transactions on Affective Computin

    Preparation and Characterization of Vanadium Pentoxide Using Spray Pyrolysis Technique

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    A chemical spray pyrolysis technique was used to deposit a vanadium pentoxide (V2O5) thin films on glass substrate with a deposition temperature ranged from 300°C to 500°C in step of 50°C. From ammonium meta vanadate aqua precursor solution molarity of (0.1 M) was used as a source of vanadium. The effect of deposition temperature on structure, morphological, electrical conductivity and optical properties wasanalyzedat constant preparation time, solution molarity and the distance between spray nozzle and substrate.X-ray diffraction patterns shown that an orthorhombic cubic structure withgrowth along (001) plane. With increasing the substrate temperature, the electrical conductivity was increased, and the scanning electron microscopy clarified that the crystallinity of V2O5 thin films was effectively modified. The optical results revealed that energy band gap of V2O5 films deposited at 400oC, 450oC and 500oC is 2.38 eV for direct allowed transition. Based on the observed results the V2O5 phase can be well controlled by altering the substrate temperature. All prepared thin films up to 400oC show transparency in both visible and near IR region

    Video-assisted thoracoscopic lobectomy: which patients require postoperative physiotherapy?

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    Objectives: Following major thoracic surgery physiotherapy is recommended to improve reduced lung volume, aid secretion clearance, and improve mobility, however, in many centres physiotherapy provision is variable following minimally invasive video-assisted thoracoscopic surgery (VATS). The objective of this study was to observe frequency of problems potentially amenable to physiotherapy following VATS lobectomy, and to identify associated baseline factors of patients in whom physiotherapy may be beneficial. Methods: A prospective observational study was performed including all consecutive cancer patients undergoing VATS lobectomy in a regional centre over 4 years (2012–2016). Standard postoperative care included early mobilisation by nursing staff from postoperative day one (POD1). Physiotherapy assessment of all patients on POD1 determined presence of issues potentially amenable to physiotherapy intervention, and treatment was commenced. Outcome measures included postoperative pulmonary complication (PPC) development, hospital and high dependency unit (HDU) length of stay (LOS). Results: Of 285 patients, 209 (73%) received physiotherapy to assist/improve reduced mobility, of these 23 (8%) also received sputum clearance therapies and 65 (23%) specific therapy for lung volume loss. The remaining 76 (27%) patients had significantly lower hospital/HDU LOS (P < 0.001) reflecting uncomplicated recovery. Chronic obstructive pulmonary disease (COPD), body mass index (BMI), preoperative mobility and age were independently associated with issues potentially amenable to physiotherapy (P = 0.013). Conclusion: Following VATS lobectomy a large proportion of patients demonstrated issues potentially amenable to physiotherapy. The authors recommend that patients receive routine physiotherapy assessment following this type of surgery to ensure that all issues are identified early. Screening of COPD, BMI, preoperative mobility and age will allow early identification of patients who may benefit most from postoperative physiotherapy and preoperative optimisation, however, these factors cannot predict the need for physiotherapy

    TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition

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    In this paper we propose a novel Temporal Attentive Relation Network (TARN) for the problems of few-shot and zero-shot action recognition. At the heart of our network is a meta-learning approach that learns to compare representations of variable temporal length, that is, either two videos of different length (in the case of few-shot action recognition) or a video and a semantic representation such as word vector (in the case of zero-shot action recognition). By contrast to other works in few-shot and zero-shot action recognition, we a) utilise attention mechanisms so as to perform temporal alignment, and b) learn a deep-distance measure on the aligned representations at video segment level. We adopt an episode-based training scheme and train our network in an end-to-end manner. The proposed method does not require any fine-tuning in the target domain or maintaining additional representations as is the case of memory networks. Experimental results show that the proposed architecture outperforms the state of the art in few-shot action recognition, and achieves competitive results in zero-shot action recognition

    Evolution of Fermi surface and normal-state gap in chemically substituted cuprates Bi2_{2}Sr2x_{2-x}Bix_{x}CuO6+δ_{6+\delta}

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    We have performed a systematic angle-resolved photoemission study of chemically substituted cuprates Bi2_{2}Sr2x_{2-x}Bix_{x}CuO6+δ_{6+\delta}. We observed that the Fermi surface area shrinks linearly with Bi substitution content xx, reflecting the electron doping nature of this chemical substitution. In addition, the spectral linewidth broadens rapidly with increasing xx, and becomes completely incoherent at the superconducting-insulating boundary. The d-wave-like normal-state gap observed in the lightly underdoped region gradually evolves into a large soft gap, which suppresses antinodal spectral weight linearly in both the excitation energy and temperature. Combining with the bulk resistivity data obtained on the same samples, we establish the emergence of the Coulomb gap behavior in the very underdoped regime. Our results reveal the dual roles, doping and disorder, of off-plane chemical substitutions in high-TcT_c cuprates and elucidate the nature of the quantum electronic states due to strong correlation and disorder.Comment: 4 pages, 4 figure

    UK pneumonectomy outcome study (UKPOS): a prospective observational study of pneumonectomy outcome

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    <p>Abstract</p> <p>Background</p> <p>In order to assess the short term risks of pneumonectomy for lung cancer in contemporary practice a one year prospective observational study of pneumonectomy outcome was made. Current UK practice for pneumonectomy was observed to note patient and treatment factors associated with major complications.</p> <p>Methods</p> <p>A multicentre, prospective, observational cohort study was performed. All 35 UK thoracic surgical centres were invited to submit data to the study. All adult patients undergoing pneumonectomy for lung cancer between 1 January and 31 December 2005 were included. Patients undergoing pleuropneumonectomy, extended pneumonectomy, completion pneumonectomy following previous lobectomy and pneumonectomy for benign disease, were excluded from the study.</p> <p>The main outcome measure was suffering a major complication. Major complications were defined as: death within 30 days of surgery; treated cardiac arrhythmia or hypotension; unplanned intensive care admission; further surgery or inotrope usage.</p> <p>Results</p> <p>312 pneumonectomies from 28 participating centres were entered. The major complication incidence was: 30-day mortality 5.4%; treated cardiac arrhythmia 19.9%; unplanned intensive care unit admission 9.3%; further surgery 4.8%; inotrope usage 3.5%. Age, American Society of Anesthesiologists physical status ≥ P3, pre-operative diffusing capacity for carbon monoxide (DLCO) and epidural analgesia were collectively the strongest risk factors for major complications. Major complications prolonged median hospital stay by 2 days.</p> <p>Conclusion</p> <p>The 30 day mortality rate was less than 8%, in agreement with the British Thoracic Society guidelines. Pneumonectomy was associated with a high rate of major complications. Age, ASA physical status, DLCO and epidural analgesia appeared collectively most associated with major complications.</p
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