91 research outputs found

    Saliency-aware Stereoscopic Video Retargeting

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    Stereo video retargeting aims to resize an image to a desired aspect ratio. The quality of retargeted videos can be significantly impacted by the stereo videos spatial, temporal, and disparity coherence, all of which can be impacted by the retargeting process. Due to the lack of a publicly accessible annotated dataset, there is little research on deep learning-based methods for stereo video retargeting. This paper proposes an unsupervised deep learning-based stereo video retargeting network. Our model first detects the salient objects and shifts and warps all objects such that it minimizes the distortion of the salient parts of the stereo frames. We use 1D convolution for shifting the salient objects and design a stereo video Transformer to assist the retargeting process. To train the network, we use the parallax attention mechanism to fuse the left and right views and feed the retargeted frames to a reconstruction module that reverses the retargeted frames to the input frames. Therefore, the network is trained in an unsupervised manner. Extensive qualitative and quantitative experiments and ablation studies on KITTI stereo 2012 and 2015 datasets demonstrate the efficiency of the proposed method over the existing state-of-the-art methods. The code is available at https://github.com/z65451/SVR/.Comment: 8 pages excluding references. CVPRW conferenc

    A New Dataset and Transformer for Stereoscopic Video Super-Resolution

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    Stereo video super-resolution (SVSR) aims to enhance the spatial resolution of the low-resolution video by reconstructing the high-resolution video. The key challenges in SVSR are preserving the stereo-consistency and temporal-consistency, without which viewers may experience 3D fatigue. There are several notable works on stereoscopic image super-resolution, but there is little research on stereo video super-resolution. In this paper, we propose a novel Transformer-based model for SVSR, namely Trans-SVSR. Trans-SVSR comprises two key novel components: a spatio-temporal convolutional self-attention layer and an optical flow-based feed-forward layer that discovers the correlation across different video frames and aligns the features. The parallax attention mechanism (PAM) that uses the cross-view information to consider the significant disparities is used to fuse the stereo views. Due to the lack of a benchmark dataset suitable for the SVSR task, we collected a new stereoscopic video dataset, SVSR-Set, containing 71 full high-definition (HD) stereo videos captured using a professional stereo camera. Extensive experiments on the collected dataset, along with two other datasets, demonstrate that the Trans-SVSR can achieve competitive performance compared to the state-of-the-art methods. Project code and additional results are available at https://github.com/H-deep/Trans-SVSR/Comment: Conference on Computer Vision and Pattern Recognition (CVPR 2022

    Feature reduction of hyperspectral images: Discriminant analysis and the first principal component

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    When the number of training samples is limited, feature reduction plays an important role in classification of hyperspectral images. In this paper, we propose a supervised feature extraction method based on discriminant analysis (DA) which uses the first principal component (PC1) to weight the scatter matrices. The proposed method, called DA-PC1, copes with the small sample size problem and has not the limitation of linear discriminant analysis (LDA) in the number of extracted features. In DA-PC1, the dominant structure of distribution is preserved by PC1 and the class separability is increased by DA. The experimental results show the good performance of DA-PC1 compared to some state-of-the-art feature extraction methods

    The Effect of Life Skills Training Based on the Holy Quran on the Negative Emotions, Life Quality and Life Orientation of Patients with Breast Cancer in Tehran

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    For downloading the full-text of this article please click here.Background and Objective: Cancer is the fourth most common chronic disease that has a negative effect on patients’ normal life and mental health. Therefore, the present study aimed to investigate the effectiveness of life skills training with Quranic approach on negative emotions, the quality of life and orientation toward life in patients afflicted by Breast Cancer in Tehran.Methods: This was a quasi-experimental study with a pretest-posttest and control group design. The statistical population included all women with breast cancer selected from those referring to Kasra hospital in Tehran. Based on the specified criteria for inclusion in the study and DASS, WHOQ-26 and LOT-R, life quality and orientation to life, patients with the highest scores were selected by convenience sampling and randomly assigned to experimental and control groups (n1=n2=15). The experimental group received eight 60-minute sessions of therapeutic intervention one session a week, while the control group received no intervention. The collected data was analyzed by descriptive statistics and multivariate analysis of covariance (MANCOVA). In this study, all the ethical considerations have been observed and no conflict of interest was reported by the authors.Results: The results of the study showed that there was a significant difference between the experimental and control groups in reducing the negative emotions such as anxiety, depression and stress (P<0.05). The results further showed that there was a significant difference in quality of life scores and life orientation between the two groups (P<0.05).Conclusion: Life skills training based on the Holy Quran combined with standard medical care had a beneficial effect on the psychological indicators and health of cancer patients and decreased their negative emotions.For downloading the full-text of this article please click here.Please cite this article as: Ekhtiary Sadegh M, Imani Naeini M, MirzaMohammadi MH. The Effect of Life Skills Training Based on the Holy Quran on the Negative Emotions, Life Quality and Life Orientation of Patients with Breast Cancer in Tehran.Journal of Pizhūhish dar dīn va salāmat. 2020; 5(4): 7-19. https://doi.org/10.22037/jrrh.v5i4.18886

    Evaluation of Germination Capacity of Stored Pollen of Almond and Peach 1,2 ‫٭‬

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    Abstract: Pollen viability and its germination capability for fruit set in are almond and peach essential. To optimize the pollen culture medium of almond and peach and selection of best medium, the present study was carried out with 48 different culture media containing different compositions including diverse levels of boric acid (0 and 100mg/1), calcium nitrate (0,150and300mg/l،), magnesium sulphate (0 and200mg/l), potassium nitrate (0 and100 mg/l), sucrose (10 and15 %) and agar (1 %). Following optimization of the best medium, in order to determine the viability of stored pollens of almond and peach cultivars, three months after maintenance at 4°C,-20°C and -80°C was assessed through evaluation of their germination percentage using optimized medium. Maximum pollen germination (99.80 %) was recorded in B2M2K1C2S medium (boric acid 100 mg/l, magnesium sulphate 100 mg/l, potassium nitrate 0.0 mg/l, calcium nitrate 0.0 mg/l, sucrose 15 % and agar 1%). Lowest germination percentage (30.57 %) was found in B1K1M2C3S1 medium (boric acid 0.0 mg/l, potassium nitrate 0.0 mg/l, magnesium sulphate 100 mg/l, calcium nitrate 150 mg/l, sucrose 10 % and agar 1 %). Data recorded for pollen germination of stored pollen showed that Rabie Pollen stored at -80°C gave highest germination (90.66 %) while the lowest germination (64.00 %) was observed in Anjiri pollen stored at +4°C. The findings of the present study may help the fruit breeders and whoever is involved in pollen analysis studies

    Evaluating cytotoxic effects of recombinant fragaceatoxin C pore forming toxin against AML cell lines

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    Objective(s): Current therapeutic strategies for cancer are associated with side effects and lack of specificity in treatments. Biological therapies including monoclonal antibodies and immune effectors have been the subject of multiple research projects. Pore-forming proteins may become the other biological strategy to overcome the problems associated with current treatments. But detailed mechanisms of their action on target membranes remained to be elucidated. We aimed to study the cytotoxic effects of recombinant form of fragaceatoxin C on AML cell lines HL-60 and KG-1. Materials and Methods: We cloned the FraC gene in pET-28a (+) bacterial expression vector and the expressed recombinant FraC protein was purified by affinity chromatography. Then, cytotoxic effects of the recombinant protein were examined on two AML cell lines, HL-60 and KG-1. Effects of serum and calcium ion were explored by hemolysis assay in more details. Results: Our results showed that the recombinant C-terminal polyhistidine-tagged FraC protein has potent cytotoxic effects on both AML cell lines, with IC50=5.6, and 4.6 µg.ml-1 for HL-60 and KG-1 cells, respectively. Serum showed dose-dependent and also time-dependent inhibitory effects on the hemolytic and cytotoxic activities of the FraC protein. Pre-incubation of the toxin with different concentrations of calcium ion also inhibited hemolytic activity of FraC toxin.Conclusion: Results of the present study showed that FraC has potential anti-tumor effects. By detailed investigation of the inhibition mechanism of serum and calcium effects in the future, it can be possible to design target sites for clinical applications of the toxin

    Economic-Environmental Analysis of Combined Heat and Power-Based Reconfigurable Microgrid Integrated with Multiple Energy Storage and Demand Response Program

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    Microgrids (MGs) are solutions to integrate high shares of variable renewable energy which can contribute to more economical and environmental benefits, as well as improving the energy supply efficiency. One significant potential of MGs is an expanded opportunity to use the waste heating energy from the conversion of the primary fuel (such as natural gas) to generate electricity. The use of waste heat in combined heat and power (CHP)-based MG is more efficient to meet local load and decrease the emission pollution. Hence, this paper elaborates on optimal multi-objective scheduling of CHP-based MG coupled with compressed air energy storage (CAES), renewable energy, thermal energy storage (TES), and demand response programs through shiftable loads, which considers a reconfiguration capability. The embedded CAES, in addition to the charging/discharging scheme, can operate in a simple cycling mode and serve as a generation resource to supply local load in an emergency condition. The daily reconfiguration of MG will introduce a new generation of MG named reconfigurable microgrid (RMG) that offers more flexibility and enhances system reliability. The RMG is coupled with TES to facilitate the integration of the CHP unit that enables the operator to participate in the thermal market, in addition to the power market. The main intents of the proposed multi-objective problem are to minimize the operation cost along with a reduction in carbon emission. The epsilon-constraint technique is used to solve the multi-objective problem while fuzzy decision making is implemented to select an optimal solution among all the Pareto solutions. The electricity prices and wind power generation variation are captured as random variables in the model and the scenario-based stochastic approach is used to handle them. Simulation results prove that the simultaneous integration of multiple technologies in CHP-based RMG decreases the operation cost and emission up to 3% and 10.28%, respectively

    Mapping 123 million neonatal, infant and child deaths between 2000 and 2017

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    Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2—to end preventable child deaths by 2030—we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000–2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations

    Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

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    Background: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods: GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings: Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990–2010 time period, with the greatest annualised rate of decline occurring in the 0–9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10–24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10–24 years were also in the top ten in the 25–49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50–74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation: As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and developm nt investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Funding: Bill & Melinda Gates Foundation. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licens
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