223 results on '"Yu, Bing"'
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2. A metal artifact reduction scheme in CT by a Poisson fusion sinogram based postprocessing method
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Xu Dong Bao, Yu Bing Lin, Hui Tang, and Guo Yan Sun
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Computer science ,Image quality ,0206 medical engineering ,02 engineering and technology ,Poisson distribution ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Metal Artifact ,symbols.namesake ,0302 clinical medicine ,Image Processing, Computer-Assisted ,Radiology, Nuclear Medicine and imaging ,Computer vision ,Electrical and Electronic Engineering ,Projection (set theory) ,Instrumentation ,Image fusion ,Artifact (error) ,Radiation ,Radon transform ,Phantoms, Imaging ,business.industry ,Condensed Matter Physics ,020601 biomedical engineering ,Metals ,symbols ,Artificial intelligence ,Artifacts ,Tomography, X-Ray Computed ,business ,Algorithms ,Interpolation - Abstract
OBJECTIVE: To reduce secondary artifactes generated by the current interpolation-based metal artifact reduction (MAR) methods, this study proposes and tests a new Poisson fusion sinogram based metal artifact reduction (FS-MAR) method. METHODS: The proposed FS-MAR method consists of (1) generating the prior image, (2) forward projecting this prior image and applying the Poisson blending technique to seamlessly replace the metal-affected sinogram of the original projection in the metal projection region (MPR) by the prior image projection to get the corrected metal-free sinogram, and (3) performing the filtered back projection (FBP) on the corrected sinogram and filling the metal image back to the metal-free corrected image to get the final artifact reduced image. Simulated images are calculated by taking clinical metal-free CT images as phantoms and inserting metals during the simulated projection process to get the corresponding metal-affected images by the FBP. After the simulated images are processed by the proposed MAR method, two metrics structural similarity index (SSIM) and peak signal-to-noise ratio (PSNR) are used to evaluate image quality. Finally, visual evaluation is also performed using several real clinical metal-affected images obtained from the Revision Radiology group. RESULTS: In two testing samples, using FS-MAR method yields the highest SSIM and PSNR of 0.8912 and 30.6693, respectively. Visual evaluation results on both simulated and clinical images also show that using FS-MAR method generates less image artifacts than using the interpolation-based algorithm. CONCLUSIONS: This study demonstrated that with the same prior image, applying the proposed Poisson FS-MAR method can achieve the higher image quality than using the interpolation-based algorithm.
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- 2021
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3. Fatigue correlates with sleep disturbances in Parkinson disease
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Han-Ying Gu, Cheng-Jie Mao, Yu-Bing Shen, Yu-Lan Cao, Xiang-Yang Cao, Jin-Ru Zhang, Fen Wang, Chun-Feng Liu, and Yun Shen
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Sleep Wake Disorders ,medicine.medical_specialty ,Sleep behavior disorder ,Hamilton Anxiety Rating Scale ,Polysomnography ,lcsh:Medicine ,REM Sleep Behavior Disorder ,REM sleep behavior disorder ,03 medical and health sciences ,0302 clinical medicine ,Rating scale ,Humans ,Medicine ,Fatigue ,Depression (differential diagnoses) ,medicine.diagnostic_test ,business.industry ,lcsh:R ,Hamilton Rating Scale for Depression ,Chronic fatigue ,Original Articles ,General Medicine ,medicine.disease ,Parkinson disease ,030220 oncology & carcinogenesis ,Physical therapy ,Anxiety ,medicine.symptom ,Sleep ,business ,030217 neurology & neurosurgery - Abstract
Background:. Many Parkinson disease (PD) patients complain about chronic fatigue and sleep disturbances during the night. The objective of this study is to determine the relationship between fatigue and sleep disturbances by using polysomnography (PSG) in PD patients. Methods:. Two hundred and thirty-two PD patients (152 with mild fatigue and 80 with severe fatigue) were recruited in this study. Demographic information and clinical symptoms were collected. Fatigue severity scale (FSS) was applied to evaluate the severity of fatigue, and PSG was conducted in all PD patients. FSS ≥4 was defined as severe fatigue, and FSS
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- 2021
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4. Stacked generative adversarial networks for image compositing
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Youdong Ding, Dongjin Huang, Yu Bing, and Xie Zhifeng
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Generative adversarial networks ,Computer science ,lcsh:TK7800-8360 ,Image compositing ,02 engineering and technology ,010501 environmental sciences ,Deep neural network ,computer.software_genre ,01 natural sciences ,Convolutional neural network ,Image (mathematics) ,0202 electrical engineering, electronic engineering, information engineering ,Computer vision ,Electrical and Electronic Engineering ,0105 earth and related environmental sciences ,Parsing ,business.industry ,lcsh:Electronics ,020207 software engineering ,Construct (python library) ,Object (computer science) ,Real image ,Signal Processing ,Compositing ,Pattern recognition (psychology) ,Artificial intelligence ,business ,computer ,Information Systems - Abstract
Perfect image compositing can harmonize the appearance between the foreground and background effectively so that the composite result looks seamless and natural. However, the traditional convolutional neural network (CNN)-based methods often fail to yield highly realistic composite results due to overdependence on scene parsing while ignoring the coherence of semantic and structural between foreground and background. In this paper, we propose a framework to solve this problem by training a stacked generative adversarial network with attention guidance, which can efficiently create a high-resolution, realistic-looking composite. To this end, we develop a diverse adversarial loss in addition to perceptual and guidance loss to train the proposed generative network. Moreover, we construct a multi-scenario dataset for high-resolution image compositing, which contains high-quality images with different styles and object masks. Experiments on the synthesized and real images demonstrate the efficiency and effectiveness of our network in producing seamless, natural, and realistic results. Ablation studies show that our proposed network can improve the visual performance of composite results compared with the application of existing methods.
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- 2021
5. The Relationship Between Depression and Menopause Symptoms: The PATH Model
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Wang Xu, Saffari Mahmood, D. Shukla Shakti, L. Granner Michelle, Pini Nip, Khazaei Salman, F. Oman Roy, Lu Minggen, Sunkara Krishna, Wadhwa Ridhima, Mehta Meenu, Esmaeili Davoud, Jenabi Ensiyeh, Prasher Parteek, Tang Yue, Garcia Rm, Yang Yueran, A.A. Aljabali Alaa, You Zhiying, Dua Kamal, Kumar Chellappan Dinesh, Panth Nisha, Vieira-Junior Wf, Raj Paudel Keshav, Zhang Xiangjun, Ambrosano Gm, Di Munzio Walter, De Biasio Valeria, M. Brosnahan Godela, Tapak Leili, Milano Walter, Fathizadeh Hadis, Tao Yanfei, Fereidooni Bita, Aguiar Fhb, Capasso Anna, Ambrosio Paola, Liu Zhenli, Li Shuyuan, Lv Qi-Yan, Lima Danl, M. Tambuwala Murtaza, Y. Gitomer Berenice, Zeng Fan-Lin, Zhang Liyun, Xie Changqing, Hamzehei Ronak, Badawy Sara, Ihsan Awais, Carizzone Francesca, Chen Xiao-Lan, M. Hansbro Philip, Xu Xiaoqing, Dou Yushun, Samadi Kafil Hossein, J. Christiansen Elizabeth, Moniri Rezvan, Wang Wei, Theobaldo Jd, Gupta Gaurav, Chonchol Michel, Yu Bing, A. Larson Trudy, and Goyal Rohit
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Menopause ,medicine.medical_specialty ,business.industry ,Obstetrics and Gynecology ,Medicine ,business ,Psychiatry ,medicine.disease ,Depression (differential diagnoses) - Abstract
Background: To date, no study has been performed on the relationship between depression and perimenopausal symptoms using the Path model in Iran. Objective: This study aims to assess the relationship between depression and menopause symptoms using the PATH model. Methods: A cross-sectional study was conducted for 4 months, in 2019, and 332 menopausal women were enrolled in 14 public health centers. Data collection instruments included questionnaires of demographic characteristics, anxiety instrument, Menopause Rating Scale, and the Beck Depression short Inventory (BDI-S). The hypothesized mediators were assessed using Structural Equation Modeling (SEM). The model included depression symptoms (dependent variable), anxiety (mediators), number of alive children (moderator), and menopausal symptoms (independent variable). Analyses were conducted by SPSS 16 and AMOS 20. Results: There was a significant positive correlation between menopause symptoms with total anxiety (Rs=0.52), state anxiety (Rs=0.47), trait anxiety (Rs=0.46), and depression (Rs=0.54). Depression had a significant positive correlation with total anxiety (Rs=0.64), trait anxiety (Rs=0.58), and state anxiety (Rs=0.59). Also, the total mediating effect of total anxiety and depression and the total moderating effect of the number of alive children were significant on menopause symptoms. Conclusion: According to the results of the present study, there is an association between depression and menopausal symptoms. Therefore, health providers should pay more attention to the psychological health of women during the perimenopausal period. The predictor factors should be considered in both intervention and clinical assessment of menopause women.
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- 2021
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6. No-Reference Nonuniform Distorted Video Quality Assessment Based on Deep Multiple Instance Learning
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Li Mading, Zheng Yunfei, Lihui Qian, Tianxiang Pan, Yu Bing, Zhang Jiajie, and Bin Wang
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business.industry ,Quality assessment ,Computer science ,Reliability (computer networking) ,Pooling ,Feature extraction ,No reference ,020207 software engineering ,Pattern recognition ,02 engineering and technology ,Video quality ,Computer Science Applications ,Hardware and Architecture ,Distortion ,Signal Processing ,0202 electrical engineering, electronic engineering, information engineering ,Media Technology ,Artificial intelligence ,Layer (object-oriented design) ,business ,Software - Abstract
Each part of a nonuniform distorted video (NUDV) has a unique distortion degree. When NUDV blocks are used as inputs, traditional machine-learning-based video quality assessment (VQA) methods frequently do not work effectively. Because these methods directly assign the label of the entire video to blocks, causing the unreliability of labels. We creatively propose video bag, a collection of video blocks, to deal with this unreliability. We develop a novel multiple instance learning (MIL) based model, VQA-MIL, which dynamically adjusts the weights by a block-wise attention module and enriches the features of video bags by a MI Pooling layer. Furthermore, we apply the mixup data-augmentation strategy to address the lack of human labels in common video datasets. We test our method on LIVE and CSIQ, and on a relatively large-scale dataset, named NUDV-KT, that we have collected. Results show that our method outperforms popular state-of-the-art no-reference VQA methods on NUDVs.
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- 2021
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7. Monolithic Integrated Semiconductor Optical Amplifier With Broad Spectrum, High Power, and Small Linewidth Expansion
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Huan Zhao, Li Qin, Yu Xin Lei, Chuantao Zheng, Xin Li, Lei Liang, Lijun Wang, Yong Yi Chen, Yue Song, Yu Gang Zeng, Peng Jia, and Yu Bing Wang
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Optical amplifier ,Materials science ,General Computer Science ,business.industry ,General Engineering ,Optical field ,Laser ,high power ,small linewidth expansion ,Waveguide (optics) ,TK1-9971 ,Power (physics) ,law.invention ,Broad spectrum ,Laser linewidth ,Electricity generation ,law ,Optical cavity ,Optoelectronics ,General Materials Science ,Electrical engineering. Electronics. Nuclear engineering ,business ,high gain ,semiconductor optical amplifiers - Abstract
Semiconductor optical amplifiers (SOAs) offer direct electrical injection, power consumption, integration, and anti-radiation advantages over optical fiber amplifiers. However, saturation output power and gain bandwidth have been limited in traditional structure SOAs. We demonstrate a monolithic integrated SOA with broad spectrum, high power, high gain, and small spectral linewidth expansion. The device adopts a two-stage amplified large optical cavity structure, and a lower optical field confinement factor is obtained by adjusting the thickness of the waveguide layer. The lower optical field confinement factor is conducive to improving the coupling efficiency and the maximum output power. Our device, fabricated only by standard i-line lithography with micron-scale precision, obtains excellent and stable performance. When the input power is set to 1 mW, the output power is 419 mW with a gain of 26.23 dB. When the input power is set to 25 mW at 25 °C, the output power increases to 600 mW with a gain of 13.8 dB. The corresponding gain bandwidth of 3 dB measures at least 70 nm. The spectral linewidth after the SOA is 1.15 times wider than that of the seed laser.
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- 2021
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8. Research on divergence angle measurement technique of terahertz sources
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MA Shibang, Yu Bing, Li Hongguang, Xie Qi, and Wang Baolong
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Physics ,Optics ,Terahertz radiation ,business.industry ,Divergence angle ,business ,Atomic and Molecular Physics, and Optics - Published
- 2021
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9. Bazedoxifene Plays a Protective Role against Inflammatory Injury of Endothelial Cells by Targeting CD40
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Zizhao Tang, Ren Guo, Fangqin Nie, Panhao Huang, Wenmin Song, Qi Pei, and Yu Bing Lv
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0301 basic medicine ,Indoles ,Article Subject ,THP-1 Cells ,Anti-Inflammatory Agents ,RM1-950 ,medicine.disease_cause ,Antioxidants ,Bazedoxifene ,03 medical and health sciences ,0302 clinical medicine ,Downregulation and upregulation ,Cell Movement ,Cell Adhesion ,Human Umbilical Vein Endothelial Cells ,medicine ,Diseases of the circulatory (Cardiovascular) system ,Humans ,Pharmacology (medical) ,Viability assay ,CD40 Antigens ,Inflammation ,Pharmacology ,CD40 ,biology ,Tumor Necrosis Factor-alpha ,business.industry ,General Medicine ,Glycoprotein 130 ,Coculture Techniques ,Oxidative Stress ,030104 developmental biology ,Selective estrogen receptor modulator ,RC666-701 ,030220 oncology & carcinogenesis ,biology.protein ,Cancer research ,Therapeutics. Pharmacology ,Signal transduction ,Reactive Oxygen Species ,Cardiology and Cardiovascular Medicine ,business ,Oxidative stress ,Signal Transduction ,Research Article ,medicine.drug - Abstract
The inflammatory response and oxidative stress play key roles in the formation and development of atherosclerosis. Bazedoxifene is a new IL6/GP130 inhibitor recommended by the FDA for clinical use as a selective estrogen receptor modulator. However, its role in cardiovascular diseases has been poorly studied. In our study, we explored the mechanism of bazedoxifene’s protective effect against inflammatory injury of vascular endothelial cells (VECs) stimulated by TNF-α. Various methods were used to verify the effect of bazedoxifene on VECs, including a cell viability assay, a wound healing assay, immunofluorescence staining, and western blotting. Our results showed that TNF-α could induce inflammatory damage to VECs, which manifested as upregulated expression of CD40, increased production of ROS, enhanced adhesion of THP-1 cells to VECs, and impaired viability and migration of VECs, while bazedoxifene could significantly reduce the endothelial damage caused by TNF-α. In addition, we found that an siRNA targeting CD40 dramatically alleviated the VEC damage induced by TNF-α. Therefore, we explored the potential relationship between bazedoxifene and CD40. Our data suggest that bazedoxifene has a protective effect against VEC damage induced by TNF-α and that its underlying mechanism may be related to the regulation of CD40.
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- 2020
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10. Large-Scale Integrated Multi-Lines Optical Phased Array Chip
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Guo-Qiang Lo, Fengli Gao, Lanxuan Zhang, Junfeng Song, Min Tao, Yuxuan Li, Yingzhi Li, Yu-Bing Wang, Bo-Song Chen, Yu Hou, Li Qin, and Xianshu Luo
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lcsh:Applied optics. Photonics ,Single chip ,Materials science ,Scale (ratio) ,Phased-array optics ,business.industry ,lcsh:TA1501-1820 ,Grating ,Chip ,Laser ,Optical switch ,longitudinal scanning ,Atomic and Molecular Physics, and Optics ,law.invention ,Wavelength ,tuning efficiency ,Optics ,law ,lcsh:QC350-467 ,Electrical and Electronic Engineering ,business ,lcsh:Optics. Light - Abstract
We design and integrate four optical phased arrays (OPAs) in a single chip. Each OPA possesses different output grating period. Furthermore, we use optical switches to select one or more OPAs for beam scanning. We demonstrate the longitudinal scanning by tuning the laser wavelength. The experimental results show that the scanning range of the four-lines chip reaches 28.54° when the wavelength ranges from 1520 nm to 1570 nm, and the eight-lines one reaches 19.04° with wavelength range of 1520 nm-1540 nm. We greatly improve the wavelength tuning efficiency for longitudinal scanning.
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- 2020
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11. Gut dysbiosis-influence on amygdala-based functional activity in patients with end stage renal disease: a preliminary study
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Ya Liu, Zhihong Zhang, Long Jiang Zhang, Jianhui Zhong, Guangming Lu, Li Lin, Yun Fei Wang, Li Juan Zheng, Han Zhang, Dehua Gong, Yu Bing Ye, and Xin Yuan Zhang
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Adult ,Male ,medicine.medical_specialty ,Cognitive Neuroscience ,Systemic inflammation ,Amygdala ,Gastroenterology ,050105 experimental psychology ,End stage renal disease ,03 medical and health sciences ,Behavioral Neuroscience ,Cellular and Molecular Neuroscience ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,0501 psychology and cognitive sciences ,Radiology, Nuclear Medicine and imaging ,Prospective Studies ,Effects of sleep deprivation on cognitive performance ,Anterior cingulate cortex ,business.industry ,05 social sciences ,Cognitive disorder ,Middle Aged ,medicine.disease ,Magnetic Resonance Imaging ,Gastrointestinal Microbiome ,Psychiatry and Mental health ,medicine.anatomical_structure ,Mood ,Neurology ,Dysbiosis ,Kidney Failure, Chronic ,Anxiety ,Female ,Neurology (clinical) ,medicine.symptom ,business ,030217 neurology & neurosurgery - Abstract
Patients with end-stage renal disease (ESRD) are notably accompanied by cognitive disorder and anxiety or depressive symptom. We aimed to explore the linkages of the amygdala-based MR parameters, cognitive and mood performance, systematic inflammation and gut microbiota in ESRD. This prospective study enrolled 28 ESRD patients (13 males and 15 females, mean age of 43.9 ± 13.8 years) and 19 age- and sex-matched healthy control (HC) (12 males and 7 females, mean age of 44.1 ± 10.0 years). All subjects underwent cognitive assessment, inflammatory factor and stool microbiota analysis, and brain MRI analysis [amygdala-based functional connectivity and voxel-based morphometry (VBM)]. ERSD was separated by different microbiota strains. All factors were compared between ESRD and HC, as well as between ESRD subgroups. Pearson correlation analysis and causal mediation analysis were conducted to further investigate the relationship among the factors derived from the gut microbiota, brain and systemic inflammation. ESRD displayed gut dysbiosis and increased systemic inflammation when compared to HC (all P
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- 2020
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12. Partially Self-Transformed Transition-Metal Chalcogenide Interim Layer: Motivating Charge Transport Cascade for Solar Hydrogen Evolution
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Yu-Bing Li, Xiao-Yan Fu, Tao Li, Zhi-Quan Wei, Xiao-Cheng Dai, Ming-Hui Huang, Shuo Hou, and Fang-Xing Xiao
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010405 organic chemistry ,business.industry ,Chemistry ,Chalcogenide ,Energy conversion efficiency ,Heterojunction ,010402 general chemistry ,01 natural sciences ,Cadmium telluride photovoltaics ,0104 chemical sciences ,Inorganic Chemistry ,chemistry.chemical_compound ,Cascade ,Photocatalysis ,Optoelectronics ,Physical and Theoretical Chemistry ,business ,Ternary operation ,Hydrogen production - Abstract
Directional and high-efficiency charge transport to the target active sites of photocatalyst is central to boost the solar energy conversion but is retarded by the sluggish charge transfer kinetics and deficiency of active sites. Here, we report the elaborate design of cascade unidirectional charge transfer channel over spatially multilayered CdS@CdTe@MoS2 dual core-shell ternary heterostructures by partial transformation of CdS to CdTe interim layer followed by seamless encapsulation with an ultrathin MoS2 layer. The suitable energy-level alignment and unique coaxial multilayered assembly mode among the building blocks accelerate the interfacial charge separation and transport, endowing the CdS@CdTe@MoS2 heterostructures with conspicuously enhanced visible-light-driven photocatalytic hydrogen generation performances along with good photostability. The integrated roles of ultrathin CdTe intermediate layer in passivating the defect sites of CdS NWs framework, mediating the unidirectional charge transfer cascade and prolonging the charge lifetime, were ascertained. Besides, the crucial role of the outermost MoS2 layer as the metal-free cocatalyst in enriching the surface active sites for hydrogen evolution was also determined. Our work would provide new alternatives for finely tuning the charge flow toward promising solar-to-hydrogen conversion efficiency.
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- 2020
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13. The role of lncRNA LSAT1 in the invasion and metastasis of non-small cell lung cancer under hypoxia
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Xiang Zhang, Yu-Bing Zhao, Wei-Yi Huang, Lei Zhang, Zhi-Yong Wan, and Jun Liu
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Cancer Research ,hypoxia ,business.industry ,Non-small cell lung cancer (NSCLC) ,Hypoxia (medical) ,medicine.disease ,respiratory tract diseases ,Metastasis ,Oncology ,Cancer research ,medicine ,metastasis ,Original Article ,long non-coding RNA-LSAT1 (lncRNA-LSAT1) ,Radiology, Nuclear Medicine and imaging ,Non small cell ,medicine.symptom ,business ,Lung cancer - Abstract
Background To investigate the role of lncRNA LSAT1 in the hypoxia-induced invasion and metastasis of non-small cell lung cancer (NSCLC). Methods High-throughput microarrays were used to compare the lncRNA expression profile difference between normoxia-induced and hypoxia-induced NSCLC cell lines including A549, NCI-H1650 and NCI-H1299 in order to preliminarily screen key molecules related to hypoxia-induced invasion and metastasis of NSCLC. The different expression of lncRNA LSAT1 was measured in hypoxia-induced NSCLC cells (compared to normoxia-induced NSCLC cells) and 20 pairs of NSCLC tissues (compared to adjacent tissues) with RT-PCR. The expression of lncRNA LSAT1 in NSCLC cells A549 and NCI-H1299 was down-regulated by lentiviral transfection. Transwell migration and invasion assays and tail vein injection metastasis assay were employed for investigating the effect of lncRNA LSAT1 knockdown on the hypoxia-induced invasion and metastasis of NSCLC cells. Results RT-PCR showed that lncRNA LSAT1 was significantly increased in hypoxia-induced NSCLC cells A549, NCI-H1650 and NCI-H1299 and compared with adjacent tissues. The expression of lncRNA LSAT1 was also upregulated in NSCLC tissues. Transwell migration and invasion assays demonstrated that hypoxia could enhance the abilities of migration and invasion of NSCLC cells A549 and NCI-H1299. However, these two abilities were significantly inhibited after lncRNA LSAT1 knockdown. In addition, nude mice tail vein injection metastasis assay also verified that lncRNA LSAT1 knockdown inhibited liver metastasis and lung metastasis of NSCLC cell A549 in vivo. Conclusions We found a series of hypoxia-related lncRNAs in NSCLC by means of high-throughput screening microarrays. Clinical specimen analysis and functional loss test confirmed that lncRNA LSAT1 is a key lncRNA for hypoxia-induced invasion and metastasis of NSCLC. In addition, STAT3 may be one of the target genes for lncRNA LSAT1 to play a regulatory role.
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- 2020
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14. Investigation and demonstration of a high-power handling and large-range steering optical phased array chip
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Yu Hou, Yingzhi Li, Quanxin Na, Xianshu Luo, Junfeng Song, Yu-Bing Wang, Min Tao, Yuxuan Li, Xiaobin Liu, Guo-Qiang Lo, Bo-Song Chen, Xueyan Li, Fengli Gao, Zihao Zhi, and Lanxuan Zhang
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Materials science ,Silicon photonics ,Optics ,Phased-array optics ,Main lobe ,business.industry ,Light beam ,Optical power ,Chip ,business ,Atomic and Molecular Physics, and Optics ,Beam (structure) ,Power (physics) - Abstract
The optical power handling of an OPA scanning beam determines its targeted detection distance. So far, a limited number of investigations have been conducted on the restriction of the beam power. To the best of our knowledge, we for the first time in this paper explore the ability of the silicon photonics based OPA circuit for the high power application. A 64-channel SiN-Si based one-dimensional (1D) OPA chip has been designed to handle high beam power to achieve large scanning range. The chip was fabricated on the standard silicon photonics platform. The main lobe power of our chip can reach 720 mW and its peak side-lobe level (PSLL) is -10.33 dB. We obtain a wide scanning range of 110° in the horizontal direction at 1550 nm wavelength, with a compressed longitudinal divergence angle of each scanning beam of 0.02°.
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- 2021
15. Precise Tuning of Coordination Positions for Transition-Metal Ions via Layer-by-Layer Assembly To Enhance Solar Hydrogen Production
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Xiao-Yan Fu, Shuo Hou, Zhi-Quan Wei, Tao Li, Xiao-Cheng Dai, Fang-Xing Xiao, Ming-Hui Huang, Yunhui He, Yu-Bing Li, and Guangcan Xiao
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Materials science ,business.industry ,Chalcogenide ,Layer by layer ,Stacking ,Heterojunction ,02 engineering and technology ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,Electron transport chain ,0104 chemical sciences ,Electron transfer ,chemistry.chemical_compound ,chemistry ,Quantum dot ,Molecule ,Optoelectronics ,General Materials Science ,0210 nano-technology ,business - Abstract
Finely tuning the charge transfer constitutes a central challenge in photocatalysis, yet exquisite control of the directional charge transfer to the target reactive sites is hindered by the rapid charge recombination. Herein, dual separated charge transport channels were fabricated in a one-dimensional transition-metal chalcogenide (TMC)-based system via an elaborate layer-by-layer (LbL) self-assembly approach, for which oppositely charged metal-ion-coordinated branched polyethylenimine (BPEI) and MoS2 quantum dots (QDs) were alternately integrated to fabricate the multilayered TMC@(BPEI/MoS2 QDs)n heterostructures with controllable interfaces. Photocatalytic hydrogen generation performances of such ternary heterostructures under visible light irradiation were evaluated, which unravels that the BPEI layer not only behaves as "molecule glue" to enable the electrostatic LbL assembly with MoS2 QDs in an alternate stacking fashion on the TMC frameworks but also acts as a unidirectional hole-transfer channel. More significantly, transition-metal ions (Fe2+, Co2+, Ni2+, Cu2+, and Zn2+) coordinated on the outmost BPEI layer are able to function as interfacial electron transfer mediators for accelerating the interfacial cascade electron transport efficiency. These simultaneously constructed dual high-speed electron and hole-transfer channels are beneficial for boosting the charge separation and enhancing the photocatalytic hydrogen evolution performances.
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- 2020
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16. Missile-borne measuring device of effective light intensity spatial distribution for pulsed light source
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Lu Fei, Qiu Lirong, Wang Shengyun, Jiang Chang-lu, Liu Ruixing, Yu Bing, Yuan Liang, Kang Dengkui, and Li Hongguang
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Physics ,Light intensity ,Light source ,Optics ,Missile ,business.industry ,Spatial distribution ,business ,Atomic and Molecular Physics, and Optics - Published
- 2020
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17. Branched polymer-incorporated multi-layered heterostructured photoanode: precisely tuning directional charge transfer toward solar water oxidation
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Tao Li, Shuai Xu, Ming-Hui Huang, Shuo Hou, Yu-Bing Li, Xiao-Cheng Dai, Fang-Xing Xiao, and Zhi-Quan Wei
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Materials science ,Renewable Energy, Sustainability and the Environment ,business.industry ,Energy conversion efficiency ,Stacking ,02 engineering and technology ,General Chemistry ,Electron ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,0104 chemical sciences ,Electron transfer ,Semiconductor ,Quantum dot ,Optoelectronics ,General Materials Science ,Charge carrier ,0210 nano-technology ,business ,Ternary operation - Abstract
Unidirectional and smooth charge transfer to the reactive sites plays an imperative role in boosting the solar-to-hydrogen conversion efficiency of photoelectrochemical (PEC) cells but suffers from sluggish charge transfer kinetics. Herein, as a proof-of-concept demonstration, high-speed spatially separated electron and hole transfer channels were simultaneously constructed in an integrated multilayered heterostructured photoanode via an efficient electrostatic layer-by-layer (LbL) assembly strategy, wherein a tailor-made positively charged polymer of branched polyethylenimine (BPEI) and negatively charged MoS2 quantum dot (QD) building blocks were intimately and alternately integrated on the hierarchically ordered TiO2 nanotube array (TNTA) framework in a unique “face-to-face” stacking fashion. The periodically alternately stacked ultra-thin BPEI layer in the ternary multilayered photoanode serves as a directional hole transport channel and the MoS2 QD layer functions as a cascade electron transfer channel, which synergistically contribute to the considerably enhanced separation and prolonged lifetime of charge carriers, endowing the multilayered TNTAs/(BPEI–MoS2 QDs)n photoanodes with markedly enhanced PEC water dissociation performances with respect to the single and binary counterparts under simulated solar light irradiation. Moreover, the essential role of the assembly unit was clarified. Our work would afford a new frontier to intelligently mediate the photoinduced charge flow by rationally constructing the unidirectional charge transport channels in semiconductor-based photoelectrodes for solar energy conversion.
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- 2020
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18. Measurement system of radiation sensitivity for UV image intensifier
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Yu Bing, Sun Yunan, Wang Shengyun, Shi Jifang, Kang Dengkui, and Xie Qi
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Materials science ,Radiation sensitivity ,Optics ,law ,business.industry ,System of measurement ,Image intensifier ,business ,Atomic and Molecular Physics, and Optics ,law.invention - Published
- 2020
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19. Research on resolution calibration device and method of ultraviolet image intensifier
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Wang Shengyun, Sun Yunan, Kang Dengkui, Li Hongguang, Shi Jifang, Yu Bing, and Xie Qi
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Optics ,Materials science ,law ,business.industry ,Resolution (electron density) ,medicine ,Calibration ,Image intensifier ,business ,medicine.disease_cause ,Atomic and Molecular Physics, and Optics ,Ultraviolet ,law.invention - Published
- 2020
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20. Research on time domain parameters measurement of single pulse femtosecond laser
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Wu Lei, Dong Zaitian, Yu Bing, Yuan Liang, Yang Hong-ru, Xue Yuanyuan, LI Gaoping, Chen Chao, and Zhang Biao
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Optics ,Materials science ,business.industry ,law ,Femtosecond ,Single pulse ,Time domain ,business ,Laser ,Atomic and Molecular Physics, and Optics ,law.invention - Published
- 2020
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21. Modulating Unidirectional Charge Transfer via in Situ Etching-Accompanied Layer-By-Layer Self-Assembly toward Multifarious Photoredox Catalysis
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Tao Li, Hua-Jian Lin, Yu-Bing Li, Xiao-Cheng Dai, Fang-Xing Xiao, and Ming-Hui Huang
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Materials science ,In situ etching ,business.industry ,Photoredox catalysis ,Schottky diode ,Heterojunction ,Charge (physics) ,02 engineering and technology ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,Metal Nanocrystals ,0104 chemical sciences ,Surfaces, Coatings and Films ,Electronic, Optical and Magnetic Materials ,General Energy ,Layer by layer self assembly ,Optoelectronics ,Physical and Theoretical Chemistry ,0210 nano-technology ,business - Abstract
Metal–semiconductor heterostructures have been arousing enduring interest on account of the pivotal roles of metal nanocrystals (NCs) as interfacial Schottky junction-induced charge flow mediators ...
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- 2019
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22. The gut microbiota-inflammation-brain axis in end-stage renal disease: perspectives from default mode network
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Guangming Lu, Yu Bing Ye, Dehua Gong, Ya Liu, Long Jiang Zhang, Yun Fei Wang, Li Juan Zheng, and Song Luo
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0301 basic medicine ,Adult ,Male ,medicine.medical_specialty ,inflammatory cytokine ,resting state fMRI ,Medicine (miscellaneous) ,Inflammation ,Gut flora ,Systemic inflammation ,Gastroenterology ,Proinflammatory cytokine ,End stage renal disease ,03 medical and health sciences ,default mode network ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,Cognitive Dysfunction ,Prospective Studies ,Prospective cohort study ,Pharmacology, Toxicology and Pharmaceutics (miscellaneous) ,Default mode network ,Brain Mapping ,end-stage renal disease ,Resting state fMRI ,biology ,gut microbiota ,business.industry ,Brain ,Middle Aged ,biology.organism_classification ,Magnetic Resonance Imaging ,Gastrointestinal Microbiome ,030104 developmental biology ,Cytokines ,Kidney Failure, Chronic ,Female ,medicine.symptom ,business ,030217 neurology & neurosurgery ,Research Paper - Abstract
The gut-brain axis in end-stage renal disease (ESRD) is attracting more and more attention. However, the mechanism of gut-brain axis based cognitive disorders in ESRD patients remains unclear. The purpose of this study was to investigate the linkages between the gut microbiota, inflammatory cytokines, brain default mode network (DMN) and cognitive function in ESRD patients. Methods: This prospective study enrolled 28 ESRD patients (13 males and 15 females, mean age of 44 ± 14 years) and 19 healthy controls (HCs) (12 males and 7 females, mean age of 44 ± 10 years). All subjects underwent stool microbiota analysis, blood inflammatory cytokines examination, brain MRI scans and cognitive assessments. Resting state functional MRI (rs-fMRI) data were used to construct DMN and graph theory was applied to characterize network topological properties. Two samples t-test was applied for the comparisons between ESRD and HCs. Correlation analysis and mediation analysis were conducted among factors with significant group differences. Results: ESRD patients displayed gut microbiota alterations, increased systemic inflammation and worse cognitive performance compared to HCs (all p < 0.05). Graph analysis revealed disrupted DMN topological organization, aberrant nodal centralities and functional connectivities (FCs) in ESRD patients relative to HCs (all p < 0.05, FDR corrected). Significant correlations were found between gut microbiota, inflammatory cytokines, DMN network measures and cognitive assessments. Mediation analysis found that gut microbiota alteration impaired DMN connectivity by increasing systemic inflammation. Conclusion: The present study first revealed gut microbiota alterations, systemic inflammation, DMN dissociation and cognitive dysfunction in ESRD patients simultaneously and further illuminated their inner relationship.
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- 2019
23. Parameter study of filtration characteristics of granular filters for hot gas clean-up
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Yu Bing Tao, Song-Zhen Tang, Ya-Ling He, Francis A Kulacki, and Fei-Long Wang
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Pressure drop ,Materials science ,Gas velocity ,business.industry ,General Chemical Engineering ,Granule (cell biology) ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Filter design ,Electricity generation ,020401 chemical engineering ,Particle diameter ,Coal ,0204 chemical engineering ,Composite material ,0210 nano-technology ,business ,Stokes number - Abstract
Granular filters are a promising technology in hot gas clean-up for coal-based power generation systems. Numerical simulations are presented for the filtration characteristics of randomly packed granular filters. The effect of filter height is first investigated to obtain a unit height which can predict filtration characteristics of the entire filter, and it is found that the unit height should be at least 10 times the granule diameter. The filtration performance, including filtration efficiency, pressure drop and deposition uniformity are analyzed, and the effect of gas velocity, particle diameter and granule diameter are then investigated. The results show that the pressure drop increases rapidly with the increase of gas velocity and decrease with granule diameter. Increasing the gas velocity and particle diameter leads to increased filtration efficiency and decreased deposition uniformity. The effect of Stokes number on filtration efficiency and deposition uniformity can be divided into three regimes, and filter height and granule diameter need to be optimized according to Stokes number. A correlation of initial filtration efficiency is obtained for use in filter design and structural optimization.
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- 2019
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24. Design and Analysis of a Novel Graphene-Assisted Silica/Polymer Hybrid Waveguide With Thermal–Optical Phase Modulation Structure
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Li Qin, Cheng Qiu, Yu-Bing Wang, Yuxin Lei, Yongyi Chen, and Lijun Wang
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chemistry.chemical_classification ,Materials science ,business.industry ,Graphene ,Physics::Optics ,Polymer ,Optical field ,Optical switch ,Atomic and Molecular Physics, and Optics ,Finite element method ,law.invention ,chemistry ,law ,Thermal ,Optoelectronics ,Electrical and Electronic Engineering ,business ,Phase modulation ,Phase shift module - Abstract
A novel thermal-optical phase modulation structure based on polymer/silica hybrid waveguide is proposed. Patterned graphene strip is introduced as electric nanoheater in the structure. Finite element method simulation is performed on both thermal and optical field analysis. Results show that response speed is improved by a factor of three and power consumption is reduced by half, in comparison with conventional state-of-art polymer-based phase shifter. This proposed structure is compatible with current complementary metal-oxide-semiconductor power supply standard and has very large design robustness. It shows great application potential on low-power optical switch, modulator and polymer thermal-optical phase arrays.
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- 2019
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25. Laparoscopic Surgery vs. Open Surgery for Older Patients with Rectal Cancer: A Comparative Study of Propensity Score
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Hong Gao, Qiang Li, Jin-Zhong Wang, and Yu-Bing Zhu
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Laparoscopic surgery ,medicine.medical_specialty ,Older patients ,Colorectal cancer ,business.industry ,medicine.medical_treatment ,Open surgery ,Propensity score matching ,medicine ,medicine.disease ,business ,Surgery - Abstract
Background The purpose of this study was to compare the efficacy of laparoscopic surgery to open rectal cancer surgery in patients aged 70 years and older. Methods Consecutive patients (≥70 years old) who underwent rectal cancer surgery were retrospectively selected. Based on the covariates (age, gender, body mass index (BMI), ASA, TNM staging), the propensity score was calculated for paired comparison. The Tumor Distance from the Anal Verge (TDAV), history of abdominal surgery, combined diseases, time of operation, amount of blood loss, anastomosis method, postoperative hospital stay, time to first exhaust, time to first oral diet, postoperative complications, postoperative 30-day mortality and postoperative pathological staging of two groups were collected. Results Shorter operating time, higher intraoperative blood loss, slower intestinal function, longer time to first exhaust, longer postoperative hospital stay, higher incidence of postoperative complications (no statistical difference), and shorter duration of analgesics were observed in the OS group (all PConclusions In older patients, laparoscopic rectal cancer surgery led to less trauma, and a faster recovery compared to open surgery, with significant short-term advantages and no significant long-term advantages. For low rectal cancer, the advantage of LS was more prominent.
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- 2021
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26. Cascading Failure Risk Assessment in Power Grid Based On the Line Outage Rate
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Xu Pei-Dong, Shi Chun-Min, Xu Gang, Yu Bing-qi, Feng Jing, and Wang Tian-xu
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Electric power system ,business.industry ,Computer science ,Failure rate ,Line (text file) ,business ,Risk assessment ,Fault (power engineering) ,Power-system protection ,Risk management ,Cascading failure ,Reliability engineering - Abstract
The risk of cascading failure in power grid can be integrated the possibility and severity of cascading failure severity. The possibility in traditional risk assessment only considered the line failure rate, but the line overload outage is one of the important reasons lead to cascading failure too. In order to consider the complex uncertainty in actual power system, according to the line protection actions, environmental and weather factors and human errors caused by the line fault and line overload to get the line outage probability, further set up cascading failure risk assessment model of power grid considering line outage rate .The simulation of the WSCC-9 buses system proved that the proposed method is with correctness and objectivity, provided with engineering value.
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- 2021
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27. Comparison between binocular therapy and patching for treatment of amblyopia: a meta-analysis of randomised controlled trials
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Qin Zhu, Yu-Bing Duan, Jing-Yan Yao, and Chun-Wen Chen
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medicine.medical_specialty ,vision ,Visual perception ,Visual acuity ,genetic structures ,visual perception ,Review ,Cochrane Library ,03 medical and health sciences ,0302 clinical medicine ,Ophthalmology ,Medicine ,business.industry ,Significant difference ,public health ,RE1-994 ,eye diseases ,Clinical Practice ,Clinical trial ,Stereoscopic acuity ,Meta-analysis ,030221 ophthalmology & optometry ,medicine.symptom ,business ,treatment medical ,030217 neurology & neurosurgery ,low vision aid - Abstract
Several studies have compared binocular therapy and patching for the treatment of amblyopia. However, most of them involved a small number of cases and reported controversial results. Thus, the benefit of binocular therapy remains to be confirmed. We conducted a meta-analysis to evaluate the efficacy of binocular therapy versus patching and to testify whether binocular therapy could become supplementary method in children with amblyopia. Randomised controlled trials that evaluated the efficacy of binocular therapy for amblyopia versus patching were identified using PubMed, Embase, Cochrane Library, Ovid, Web of Science, ClinicalTrials.gov, and the WHO International Clinical Trials Registry Platform. Data screening, extraction and quality assessment were performed independently by two researchers. Six trials were identified and analysed to compare binocular therapy (708 eyes) with patching (664 eyes) for change in best-corrected visual acuity and stereoacuity. Efficacy estimates were evaluated by standard mean difference (SMD) and 95% CI. The best-corrected visual acuity in binocular group was better than that of in patching group (SMD=−0.21 logarithm of the minimum angle of resolution (log MAR), 95% CI of −0.50 to 0.08 log MAR, p=0.003). The results showed statistically significant difference in the change of best-corrected visual acuity between the groups, but not in stereoacuity. Binocular therapy may be a promising treatment of conditions affecting visual acuity, and could be applied as a supplementary method to patching for amblyopia in clinical practice. The present analysis showed that some children with amblyopia may benefit from binocular therapy. Nevertheless, larger randomised controlled clinical trials are required to confirm these findings.
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- 2021
28. An automatic and robust algorithm of reestablishment of digital dental occlusion
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Yu-Bing Chang, Xia, J.J., Gateno, J., Zixiang Xiong, Xiaobo Zhou, and Wong, S.T.C.
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CT imaging -- Usage ,Occlusion (Dentistry) -- Technology application ,Iterative methods (Mathematics) -- Usage ,Technology application ,Business ,Electronics ,Electronics and electrical industries ,Health care industry - Published
- 2010
29. Fluorescence spectroscopy: an adjunct diagnostic tool to image-guided core needle biopsy of the breast
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Zhu, Changfang, Burnside, Elizabeth S., Sisney, Gale A., Salkowski, Lonie R., Harter, Josephine M., Yu, Bing, and Ramanujam, Nirmala
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Breast cancer -- Diagnosis ,Fluorescence ,Spectrum analysis ,Biological sciences ,Business ,Computers ,Health care industry - Published
- 2009
30. Global attitudes in the management of acute appendicitis during COVID-19 pandemic: ACIE Appy Study
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Benedetto, Ielpo, Mauro, Podda, Gianluca, Pellino, Pata, Francesco, Gianpiero, Gravante, Salomone Di Saverio, Gallo, Gaetano, Rashid, Lui, Adam, Orengia, Aditya, Chowdary, Aditya, Kulkarni, Adnan, Kuvvetli, Adolfo, Navarro, Adolfo, Pisanu, Adrian, Smith, Adriana Cavero Ibiricu, Aeris Jane, D Nacion, Ahmad, Alsaleh, Ahmad, Alhazmi, Ahmad, Elmabri, Ajaz, Wani, Ahmet, Rencuzogullari, Aingeru Sarriugarte Lasarte, Ainhoa Valle Rubio, Akshay, Bavikatte, Akshay, Kumar, Al-Radjid, Jamiri, Alain Michel Alvarado Padilla, Alban, Cacurri, Alberto de San Ildefonso, Alberto, Porcu, Alberto, Sartori, Aldo, Rocca, Alejandro Paz Yáñez, Alejandro, Becaria, Alejandro, Solís-Peña, Aleksandar, Sretenović, Alex, Urbistondo, Alfonso, Bandin, Alfonso, Najar, Alessandro De Luca, Alex, Boddy, Alexandros, Charalabopoulos, Alexios, Tzivanakis, Alfonso, Amendola, Alfredo Ramirez-Gutierrez de Velasco, Ali Cihat Yildirim, Alice, Frontali, Alpha Oumar Toure, Alvaro, García-Granero, Amaia Martínez Roldan, Amaia Sanz Larrainzar, Amila Sanjiva Ratnayake, Ana María Gonzalez-Ganso, Ana, M Minaya-Bravo, Andre, Das, Andrea, Bondurri, Andrea, Costanzi, Andrea, Lucchi, Andrea, Mazzari, Andrea, Musig, Andrea, Peloso, Andrea, Piano, Andrea, Police, Andrei, Mihailescu, Andrés, Pouy, Angela, Romano, Iossa, Angelo, Anna Carmen Leonetti, Anna, Guariniello, Anna, Isaac, Anna Pia Delli Bovi, Antonella, Chessa, Antonella, Tromba, Antonio Álvarez Martínez, Antonio, Brillantino, Antonio, Caira, Antonio, Castaldi, Antonio, Ferronetti, Antonio, Giuliani, Antonio, Prestera, Antonio Ramos-De la Medina, Antonio, Tarasconi, Antonino, Tornambè, Arcangelo, Picciariello, Argyrios, Ioannidis, Ari, Leppäniemi, Arshad, Khan, Arshad, Rashid, Arteaga Luis Eduardo Pérez-Sánchez, Ashok, Mittal, Ashrarur Rahman Mitul, Asif, Mehraj, Asim, Laharwal, Asnel, Dorismé, Athanasios, Marinis, Atif, Iqbal, Augusto, Moncada, Bartolomeo, Braccio, Basim, Alkhafaji, Beatriz de Andrés Asenjo, Beatriz, Martin-Perez, Belinda Sánchez Pérez, Ben, Creavin, Benedetto, Calì, Beniamino, Pascotto, Benjamin, Stubbs, Benjamin Zavala Retes, Branislav, Jovanovic, Brian Kp Goh, Bruno, Sensi, Carlo, Biddau, Carlo, Gazia, Carlo, Vallicelli, Carlos Alberto Fagundes, Carlos Cerdán Santacruz, Carlos, Chirico, Carlos Javier Gómez, Carlos, Petrola, Carlos Sánchez Rodriguez, Carlos Yánez Benítez, Carmelisa, Dammaro, Carmelo Lo Faro, Caroline, Reinke, Casandra Dominguez Paez, Catalina, Oliva, Charudutt, Paranjape, Charlotte, Thomas, Chi Fung Chia, Chi Kwan Kong, Chiara De Lucia, Christian Ovalle Chao, Claudio, Arcudi, Claudio, Guerci, Clement, Chia, Cristiano, Parise, Cristina, Folliero, Cristopher, Varela, Dalya, M Ferguson, Daniel, Camacho, Daniel, Popowich, Daniel Souza Lima, Daniela, Rega, Daniele, Delogu, Daniele, Zigiotto, Danilo, Vinci, Dario, D'Antonio, Dario, Parini, David Alessio Merlini, David DE Zimmerman, David, Moro-Valdezate, Davide, Pertile, Deborah Maria Giusti, Deborah, S Keller, Delko, Tarik, Denis, Kalivaçi, Dennis, Mazingi, Diana Gabriela Maldonado-Pintado, Diego, Sasia, Dimitrios, Linardoutsos, Dixon, Osilli, Domenico, Murrone, Domenico, Russello, Edgar, Rodas, Edisson Alberto Acuña Roa, Edoardo, Ricciardi, Edoardo, Rosso, Edoardo, Saladino, Eduardo, Flores-Villalba, Eduardo Ruiz Ajs, Eduardo, Smith-Singares, Efstratia, Baili, Efstratios, Kouroumpas, Eirini, Bourmpouteli, Eleftheria, Douka, Elena, Martin-Perez, Eleonora, Guaitoli, Elgun, Samadov, Elisa, Francone, Elisa, Vaterlini, Emilio, Morales, Emilio, Peña, Enhao, Zhao, Eneko Del Pozo Andres, Enrico, Benzoni, Enrico, Erdas, Enrico, Pinotti, Enrique, Colás-Ruiz, Erman, Aytac, Ernesto, Laterza, Ervis, Agastra, Esteban, Foianini, Esteban, Moscoso, Estefania, Laviano, Ester, Marra, Eugenia, Cardamone, Eugenio, Licardie, Eustratia, Mpaili, Eva, Pinna, Evaristo, Varo, Fabian Martín Navarro, Fabio, Marino, Fabio, Medas, Fabio, Romano, Fatlum, Maraska, Fatmir, Saliu, Fausto, Madrid, Fausto, Rosa, Federica, Mastella, Federico, Gheza, Federico, Luvisetto, Felipe, Alconchel, Felipe Monge Vieira, Felipe, Pareja, Ferdinando, Agresta, Fernanda, Luna, Fernando, Bonilla, Fernando, Cordera, Fernando, Burdió, Fernando, Mendoza-Moreno, Fernando Muñoz Flores, Fernando Pardo Aranda, Fiona, Taylor, Flavia, L Ramos, Flavio, Fernandes, Francesca Paola Tropeano, Francesco, Balestra, Francesco, Bianco, Francesco, Ceci, Francesco, Colombo, Francesco Di Marzo, Francesco, Ferrara, Francesco, Lancellotti, Francesco, Lazzarin, Francesco, Litta, Francesco, Martini, Francesco, Pizza, Francesco, Roscio, Francesco, Virdis, Francisco Blanco Antona, Francisco Cervantes Ramírez, Francisco Miguel Fernandez, Francisco Oliver Llinares, Francisco, Quezada, Francisco, Schlottmann, Gabriel, Herrera-Almario, Gabriel, Massaferro, Gabriele, Bislenghi, Gabrielle van Ramshorst, Gaetano, Gallo, Gaetano, Luglio, Georgios, Bointas, Georgios, Kampouroglou, Georgios, Papadopoulos, Gerardo Arredondo Manrique, Giacomo, Calini, Giacomo, Nastri, Giampaolo, Formisano, Giampaolo, Galiffa, Gian Marco Palini, Gianluca, Colucci, Gianluca, Pagano, Gianluca, Vanni, Gianmaria Casoni Pattacini, Gilda De Paola, Giorgio, Lisi, Giovanna, Partida, Giovanni, Bellanova, Giovanni De Nobili, Giovanni Sammy Necchi, Giovanni, Sinibaldi, Giovanni, Tebala, Giulia, Bagaglini, Giuliano, Izzo, Giulio, Argenio, Giuseppe, Brisinda, Giuseppe, Candilio, Giuseppe Di Grezia, Giuseppe, Esposito, Giuseppe, Faillace, Giuseppe, Frazzetta, Giuseppe La Gumina, Giuseppe, Nigri, Giuseppe, Romeo, Gloria Chocarro Amatriaín, Gloria, Ortega, Gonzalo, Martin-Martin, Gregor, A Stavrou, Gunadi, Gustavo Armand Ugon, Gustavo, Machain, Gustavo, Marcucci, Gustavo, Martínez-Mier, Gustavo Miguel Machain, Gustavo, Nari, Haydée, Calvo, Hamada, Fathy, Hamilto, Hazem, Ahmed, Hazem, Faraj, Hector, Nava, Hector Ordas Macias, Herald, Nikaj, Heriberto, Solano, Huma Ahmed Khan, Humberto Sánchez Alarcón, Husam, Ebied, Iacopo, Giani, Ibabe Villalabeitia Ateca, Ignacio, Neri, Igor Alberdi San Roman, Iliya, Fidoshev, Iñaki Martinez Rodriguez, Ionut, Negoi, Irene, Ortega, Irina, Bernescu, Iris Shari Russo, Irune Vincente Rodríguez, Irving, Palomares, Isaac, Baltazar, Isabel Jaén Torrejimeno, Isabel María Cornejo Jurado, Isabella, Reccia, Ishtiyaq, Hussain, Ismael Brito Toledo, Ismael, Mora-Guzmán, Iulia, Dogaru, Ivan, Romic, Izaskun, Balciscueta, J Cleo Kenington, Jackison, Sagolsem, Jae, Y Jang, James, Olivier, Jan, Lammel-Lindemann, Jana, Dziakova, Javier Ismael Roldán Villavicencio, Javier, Salinas, Jelena, Pejanovic, Jose Gustavo Parreira, Jovanovic, Jeny Rincón Pérez, Jeryl, Asreyes, Jesus Antonio Medina Luque, Joanna, Mak, Joanne Salas Rodriguez, Johnn Henry Herrera Kok, Jon, Krook, Jose Antonio Diaz-Elizondo, Jose, Castell, José Eduardo García-Flores, José María Jover Navalón, Jose Mauro Silva Rodrigues, José, Pereira, José Tomas Castell Gómez, Juan Bellido Luque, Juan Carlos Martín Del Olmo, Juan Carlos Salamea, Juan Francisco Coronel Olivier, Juan Luis Blas Laina, Juliana Maria Ordoñez, Julieta, Gutierrez, Julio, Abba, Junaid Ahmad Sofi, Kashaf, Sherafgan, Kapil, Sahnan, Katsuhiko, Yanaga, Kevin, Beatson, Laharwal, Asim, Laura, Alvarez, Leandro, Siragusa, Lee, Farber, Lester, Ong, Liarakos, Athanasios, Lorena, García-Bruña, Luca De Martino, Luca, Ferrario, Luca, Giordano, Luca, Gordini, Luca, Pio, Luca, Ponchietti, Lucia, Moletta, Luciano, Curella, Luciano, Poggi, Lucio, Taglietti, Luigi, Bonavina, Luigi, Conti, Luigi, Goffredi, Luis Angel Garcia Ruiz, Luis, Barrionuevo, Luis Enrique Fregoso, Luis, F Cabrera, Luis, G Rodriguez, Luis, Grande, Luis Gregorio Osoria, Luis Javier Kantun Gonzalez, Luis, Sánchez-Guillén, Luis, Tallon-Aguilar, Luis, Tresierra, Luisa, Giavarini, Mahmoud, Hasabelnabi, Maja, Odovic, Mamoru, Uemura, Mansoor, Khan, Manuel, Artiles-Armas, Mara, David, Marcello Di Martino, Marcello Giuseppe Spampinato, Marcelo A, F Ribeiro, Marcelo, Viola, Marco, Angrisani, Marco, Calussi, Marco, Cannistrà, Marco, Catarci, Marco, Cereda, Marco, Conte, Marco, Giordano, Marco, Pellicciaro, Marco Vito Marino, Maria, E Vaterlini, María, F Jiménez, María Giulia Lolli, Bellini, MARIA IRENE, Maria, Lemma, Maria Michela Chiarello, Maria, Nicola, Mario, Arrigo, Mario Caneda Mejia, Mario Montes Manrique, Mario, Rodriguez-Lopez, Mario, Serradilla-Martín, Mario Zambrano Lara, Marisa, Martínez, Mark, Bagnall, Mark, Peter, Marta Cañón Lara, Marta Jimenez Gomez, Marta, Paniagua-Garcia-Señorans, Marta Perez Gonzalez, Martin, Rutegård, Martin, Salö, Marzia, Franceschilli, Massimiliano, Silveri, Massimiliano, Veroux, Massimo, Pezzulo, Matteo, Nardi, Matteo, Rottoli, Matti, Tolonen, Mauricio Pedraza Ciro, Mauricio, Zuluagua, Maurizio, Cannavò, Maurizio, Cervellera, Maurizio, Iacobone, Mauro, Montuori, Melody García Domínguez, Meltem, Bingol-Kologlu, Mian, Tahir, Michael, Lim, Michael Sj Wilson, Michael, Wilson, Michela, Campanelli, Michele, Bisaccia, Michele De Rosa, Michele, Maruccia, Michele, Paterno, Michele, Pisano, Michele, Torre, Michele, Treviño, Michele, Zuolo, Miguel, A Hernandez Bartolome, Miguel, Farina, Miguel, Pera, Miguel Prieto Calvo, Milagros, Sotelo, Min Myat Thway, Mohamed, Hassan, Mohamed Salah Eldin Hassan, Mohammad, Azfar, Mohammad, Bouhuwaish, Mohammad, Taha, Mohammad, Zaieem, Mohammed, Korkoman, Montserrat, Guraieb, Mostafa, Shalaby, Muhammad Asif Raza, Muhammad Umar Younis, Muhammed, Elhadi, Mujahid Zulfiqar Ali, Nadeem, Quazi, Nagendra, N Dudi-Venkata, Nahar, Alselaim, Natasha, Loria, Nathalie Villan Ramírez, Nay Win Than, Neil, Smart, Nelson, Trelles, Nicanor, Pinto, Niccolò, Allievi, Niccolo, Petrucciani, Nicola, Antonacci, Nicola, Cillara, Nicolae, Gica, Nicolaescu Diana Cristiana, Nicolás, Nicolás, Nicolò, Falco, Nicolò, Pecorelli, Nicolò, Tamini, Nikolaos Andreas Dallas, Nikolaos, Machairas, Noelia, Brito, Nura Ahmed Fieturi, Nuria, Ortega, Octavio, Avilamercado, Oktay, Irkorucu, Omar, Alsherif, Orestes, Valles, Orestis, Ioannidis, Oscar Hernández Palmas, Oscar Isaac Hernandez Palmas, Oscar Sanz Guadarrama, Osman, Bozbiyik, Pablo, Omelanczuk, Pablo, Ottolino, Pablo, Rodrigues, Pablo, Ruiz, Paola, Campenni, Paola, Chiarade, Paola Prieto Olivares, Paolo, Baroffio, Pascal, Wintringer, Pasquale Di Fronzo, Pasquale, Talento, Pasqualino, Favoriti, Patricia, Sendino, Patrizia, Marsanic, Patricia, Mifsut, Paúl, Andrade, Pawel, Ajawin, Valentina, Ferri, Giuseppe Massimiliano de Luca, Sara, Ingallinella, Eva, Pueyo, Francesco, Palmieri, Jesus, Silva, Ken Min Chin, Nicholas, Syn, Brian K, P Goh, Ye Xin Koh, Valeria, Tonini, Ana, Gonzales-Ganso, Vicente, Simó, Maria Victoria Diago, Pedro, Abadía-Barnó, Pedro Alfonso Najar Castañeda, Pedro Omar Sillas Arevalos, Pedro Palazón Bellver, Peng Soon Koh, Petry, Souza, Piotr, Major, Rajandeep Singh Bali, Rakesh Mohan Khattar, Renato Bessa Melo, Reza, Ebrahiminia, Ricardo, Azar, Ricardo López Murga, Riccardo, Caruso, Riccardo, Pirolo, Richard, Brady, Richard Justin Davies, Rishi, Dholakia, Rishi, Rattan, Rishi, Singhal, Robert, Lim, Roberta, Angelico, Roberta Maria Isernia, Roberta, Tutino, Roberto, Faccincani, Roberto, Peltrini, Rocío, Carrera-Ceron, Rodrigo, Tejos, Rohit, Kashyap, Roosevelt, Fajardo, Rosa, Lozito, Royer Madariaga Pareja, Sabrina, Garbarino, Salvador, Morales-Conde, Sami, Benli, Sami, Mansour, Samir, Flores, Samuel Limon Suarez, Santiago Lopez Ben, Sara, Fuentes, Sara, Napetti, Sara Ortiz de Guzmán, Selmy, Awad, Sergio, A Weckmann Luján, Sergio, Gentilli, Sergio, Grimaldi, Sergio Olivares Pizarro, Serkan, Tayar, Shakeeb, Nabi, Shannon, M Chan, Sheikh, Junaid, Sidney, Rojas, Silvana, Monetti, Silvia, García, Silvia, Salvans, Silvia, Tenconi, Simon, Shaw, Simone, Santoni, Sofia Andrea Parra, Sofía, Cárdenas, Sonia, Pérez-Bertólez, Sonja, Chiappetta, Sophie, Dessureault, Spiros, Delis, Stefano Amore Bonapasta, Stefano, Rausei, Stefano, Scaringi, Sundeep, Keswani, Syed Muhammad Ali, Süleyman, Cetinkunar, Tak Lit Derek Fung, Tariq, Rawashdeh, Tatiana Nicolás López, Tercio De Campos, Teresa Calderon Duque, Teresa, Perra, Theodore, Liakakos, Theodoros, Daskalakis, Theodoros, Liakakos, Thomas, Barnes, Tijmen, Koëter, Tiku, Zalla, Tomás, E González, Tomás, Elosua, Tommaso, Campagnaro, Tommy, Brown, Topi, Luoto, Touré Alpha Oumar, Ugo, Giustizieri, Ugo, Grossi, Umberto, Bracale, Uriel, Rivas, Valentina, Sosa, Valentina, Testa, Valeria, Andriola, Valerio, Balassone, Valerio, Celentano, Valerio, Progno, Varun, Raju, Vanessa, Carroni, Venera, Cavallaro, Venkateswara Rao Katta, Veronica De Simone, Vicent Primo Romaguera, Victor Hugo García Orozco, Victor, Luraschi, Victor, Rachkov, Victor, Turrado-L, Victor, Visag-Castillo, Victoria, Dowling, Victoria, Graham, Vincenzo, Papagni, Vincenzo, Vigorita, Vinicius Cordeiro Fonseca, Virginia Jimenez Carneros, Vittoria, Bellato, Walyson, Gonçalves, William, F Powers, William, Grigg, Wolf, O Bechstein, Yu Bing Lim, Yuksel, Altinel, Zoran, Golubović, Zutoia, Balciscueta, Ielpo B., Podda M., Pellino G., Pata F., Caruso R., Gravante G., Di Saverio S., Gallo G., Lui R., Orengia A., Chowdary A., Kulkarni A., Kuvvetli A., Navarro A., Pisanu A., Smith A., Ibiricu A.C., Nacion A.J.D., Alsaleh A., Alhazmi A., Elmabri A., Wani A., Rencuzogullari A., Lasarte A.S., Rubio A.V., Bavikatte A., Kumar A., Jamiri A.-R., Padilla A.M.A., Cacurri A., de San Ildefonso A., Porcu A., Sartori A., Rocca A., Yanez A.P., Becaria A., Solis-Pena A., Sretenovic A., Urbistondo A., Bandin A., Najar A., De Luca A., Boddy A., Charalabopoulos A., Tzivanakis A., Amendola A., de Velasco A.R.-G., Yildirim A.C., Frontali A., Toure A.O., Garcia-Granero A., Roldan A.M., Larrainzar A.S., Ratnayake A.S., Gonzalez-Ganso A.M., Minaya-Bravo A.M., Das A., Bondurri A., Costanzi A., Lucchi A., Mazzari A., Musig A., Peloso A., Piano A., Police A., Mihailescu A., Pouy A., Romano A., Iossa A., Leonetti A.C., Guariniello A., Isaac A., Bovi A.P.D., Chessa A., Tromba A., Martinez A.A., Brillantino A., Caira A., Castaldi A., Ferronetti A., Giuliani A., Prestera A., la Medina A.R.-D., Tarasconi A., Tornambe A., Picciariello A., Ioannidis A., Leppaniemi A., Khan A., Rashid A., Perez-Sanchez A.L.E., Mittal A., Mitul A.R., Mehraj A., Laharwal A., Dorisme A., Marinis A., Iqbal A., Moncada A., Braccio B., Alkhafaji B., de Andres Asenjo B., Martin-Perez B., Perez B.S., Creavin B., Cali B., Pascotto B., Stubbs B., Retes B.Z., Jovanovic B., Goh B.K.P., Sensi B., Biddau C., Gazia C., Vallicelli C., Fagundes C.A., Santacruz C.C., Chirico C., Diaz C.J.G., Petrola C., Rodriguez C.S., Benitez C.Y., Dammaro C., Faro C.L., Reinke C., Paez C.D., Oliva C., Paranjape C., Thomas C., Chia C.F., Kong C.K., De Lucia C., Chao C.O., Arcudi C., Guerci C., Chia C., Parise C., Folliero C., Varela C., Ferguson D.M., Camacho D., Popowich D., Lima D.S., Rega D., Delogu D., Zigiotto D., Vinci D., D'Antonio D., Parini D., Merlini D.A., Zimmerman D.D.E., Moro-Valdezate D., Pertile D., Giusti D.M., Keller D.S., Tarik D., Kalivaci D., Mazingi D., Maldonado-Pintado D.G., Sasia D., Linardoutsos D., Osilli D., Murrone D., Russello D., Rodas E., Roa E.A.A., Ricciardi E., Rosso E., Saladino E., Flores-Villalba E., Ajs E.R., Smith-Singares E., Baili E., Kouroumpas E., Bourmpouteli E., Douka E., Martin-Perez E., Guaitoli E., Samadov E., Francone E., Vaterlini E., Morales E., Pena E., Zhao E., Andres E.D.P., Benzoni E., Erdas E., Pinotti E., Colas-Ruiz E., Aytac E., Laterza E., Agastra E., Foianini E., Moscoso E., Laviano E., Marra E., Cardamone E., Licardie E., Mpaili E., Pinna E., Varo E., Navarro F.M., Marino F., Medas F., Romano F., Maraska F., Saliu F., Madrid F., Rosa F., Mastella F., Gheza F., Luvisetto F., Alconchel F., Vieira F.M., Pareja F., Agresta F., Luna F., Bonilla F., Cordera F., Burdio F., Mendoza-Moreno F., Flores F.M., Aranda F.P., Taylor F., Ramos F.L., Fernandes F., Tropeano F.P., Balestra F., Bianco F., Ceci F., Colombo F., Di Marzo F., Ferrara F., Lancellotti F., Lazzarin F., Litta F., Martini F., Pizza F., Roscio F., Virdis F., Antona F.B., Ramirez F.C., Fernandez F.M., Llinares F.O., Quezada F., Schlottmann F., Herrera-Almario G., Massaferro G., Bislenghi G., van Ramshorst G., Luglio G., Bointas G., Kampouroglou G., Papadopoulos G., Manrique G.A., Calini G., Nastri G., Formisano G., Galiffa G., Palini G.M., Colucci G., Pagano G., Vanni G., Pattacini G.C., De Paola G., Lisi G., Partida G., Bellanova G., De Nobili G., Necchi G.S., Sinibaldi G., Tebala G., Bagaglini G., Izzo G., Argenio G., Brisinda G., Candilio G., Di Grezia G., Esposito G., Faillace G., Frazzetta G., La Gumina G., Nigri G., Romeo G., Amatriain G.C., Ortega G., Martin-Martin G., Stavrou G.A., Gunadi, Ugon G.A., Machain G., Marcucci G., Martinez-Mier G., Machain G.M., Nari G., Calvo H., Fathy H., Hamilto, Ahmed H., Faraj H., Nava H., Macias H.O., Nikaj H., Solano H., Khan H.A., Alarcon H.S., Ebied H., Giani I., Ateca I.V., Neri I., Roman I.A.S., Fidoshev I., Rodriguez I.M., Negoi I., Ortega I., Bernescu I., Russo I.S., Rodriguez I.V., Palomares I., Baltazar I., Torrejimeno I.J., Jurado I.M.C., Reccia I., Hussain I., Toledo I.B., Mora-Guzman I., Dogaru I., Romic I., Balciscueta I., Kenington J.C., Sagolsem J., Jang J.Y., Olivier J., Lammel-Lindemann J., Dziakova J., Villavicencio J.I.R., Salinas J., Parreira J.P.J.G., Jovanovic, Perez J.R., Reyes J.A.S., Luque J.A.M., Mak J., Rodriguez J.S., Kok J.H.H., Krook J., Diaz-Elizondo J.A., Castell J., Garcia-Flores J.E., Navalon J.M.J., Rodrigues J.M.S., Pereira J., Gomez J.T.C., Luque J.B., del Olmo J.C.M., Salamea J.C., Olivier J.F.C., Laina J.L.B., Ordonez J.M., Gutierrez J., Abba J., Sofi J.A., Sherafgan K., Sahnan K., Yanaga K., Beatson K., Asim L., Alvarez L., Siragusa L., Farber L., Ong L., Athanasios L., Garcia-Bruna L., De Martino L., Ferrario L., Giordano L., Gordini L., Pio L., Ponchietti L., Moletta L., Curella L., Poggi L., Taglietti L., Bonavina L., Conti L., Goffredi L., Ruiz L.A.G., Barrionuevo L., Fregoso L.E., Cabrera L.F., Rodriguez L.G., Grande L., Osoria L.G., Gonzalez L.J.K., Sanchez-Guillen L., Tallon-Aguilar L., Tresierra L., Giavarini L., Hasabelnabi M., Odovic M., Uemura M., Khan M., Artiles-Armas M., David M., Di Martino M., Spampinato M.G., Ribeiro M.A.F., Viola M., Angrisani M., Calussi M., Cannistra M., Catarci M., Cereda M., Conte M., Giordano M., Pellicciaro M., Marino M.V., Vaterlini M.E., Jimenez M.F., Lolli M.G., Bellini M.I., Lemma M., Chiarello M.M., Nicola M., Arrigo M., Mejia M.C., Manrique M.M., Rodriguez-Lopez M., Serradilla-Martin M., Lara M.Z., Martinez M., Bagnall M., Peter M., Lara M.C., Gomez M.J., Paniagua-Garcia-Senorans M., Gonzalez M.P., Rutegard M., Salo M., Franceschilli M., Silveri M., Veroux M., Pezzulo M., Nardi M., Rottoli M., Tolonen M., Ciro M.P., Zuluagua M., Cannavo M., Cervellera M., Iacobone M., Montuori M., Dominguez M.G., Bingol-Kologlu M., Tahir M., Lim M., Wilson M.S., Wilson M., Campanelli M., Bisaccia M., De Rosa M., Maruccia M., Paterno M., Pisano M., Torre M., Trevino M., Zuolo M., Hernandez Bartolome M.A., Farina M., Pera M., Calvo M.P., Sotelo M., Thway M.M., Hassan M., Hassan M.S.E., Azfar M., Bouhuwaish M., Taha M., Zaieem M., Korkoman M., Guraieb M., Shalaby M., Raza M.A., Younis M.U., Elhadi M., Ali M.Z., Quazi N., Dudi-Venkata N.N., Alselaim N., Loria N., Ramirez N.V., Than N.W., Smart N., Trelles N., Pinto N., Allievi N., Petrucciani N., Antonacci N., Cillara N., Gica N., Cristiana N.D., Krystek N., Falco N., Pecorelli N., Tamini N., Dallas N.A., Machairas N., Brito N., Fieturi N.A., Ortega N., Mercado O.A., Irkorucu O., Alsherif O., Valles O., Ioannidis O., Palmas O.H., Palmas O.I.H., Guadarrama O.S., Bozbiyik O., Omelanczuk P., Ottolino P., Rodrigues P., Ruiz P., Campenni P., Chiarade P., Olivares P.P., Baroffio P., Panaccio P., Wintringer P., Di Fronzo P., Talento P., Favoriti P., Sendino P., Marsanic P., Mifsut P., Andrade P., Ajawin P., Abadia-Barno P., Castaneda P.A.N., Arevalos P.O.S., Bellver P.P., Koh P.S., Souza P., Major P., Bali R.S., Khattar R.M., Melo R.B., Ebrahiminia R., Azar R., Murga R.L., Pirolo R., Brady R., Davies R.J., Dholakia R., Rattan R., Singhal R., Lim R., Angelico R., Isernia R.M., Tutino R., Faccincani R., Peltrini R., Carrera-Ceron R., Tejos R., Kashyap R., Fajardo R., Lozito R., Pareja R.M., Garbarino S., Morales-Conde S., Benli S., Mansour S., Flores S., Suarez S.L., Ben S.L., Fuentes S., Napetti S., de Guzman S.O., Awad S., Weckmann Lujan S.A., Gentilli S., Grimaldi S., Pizarro S.O., Tayar S., Nabi S., Chan S.M., Junaid S., Rojas S., Monetti S., Garcia S., Salvans S., Tenconi S., Shaw S., Santoni S., Parra S.A., Cardenas S., Perez-Bertolez S., Chiappetta S., Dessureault S., Delis S., Bonapasta S.A., Rausei S., Scaringi S., Keswani S., Ali S.M., Cetinkunar S., Fung T.L.D., Rawashdeh T., Lopez T.N., De Campos T., Duque T.C., Perra T., Liakakos T., Daskalakis T., Barnes T., Koeter T., Zalla T., Gonzalez T.E., Elosua T., Campagnaro T., Brown T., Luoto T., Oumar T.A., Giustizieri U., Grossi U., Bracale U., Rivas U., Sosa V., Testa V., Andriola V., Tonini V., Balassone V., Celentano V., Progno V., Raju V., Carroni V., Cavallaro V., Katta V.R., De Simone V., Romaguera V.P., Orozco V.H.G., Luraschi V., Rachkov V., Turrado-L V., Visag-Castillo V., Dowling V., Graham V., Papagni V., Vigorita V., Fonseca V.C., Carneros V.J., Bellato V., Goncalves W., Powers W.F., Grigg W., Bechstein W.O., Lim Y.B., Altinel Y., Golubovic Z., Balciscueta Z., Ielpo, B., Podda, M., Pellino, G., Pata, F., Caruso, R., Gravante, G., Di Saverio, S., Gallo, G., Lui, R., Orengia, A., Chowdary, A., Kulkarni, A., Kuvvetli, A., Navarro, A., Pisanu, A., Smith, A., Ibiricu, A. C., Nacion, A. J. D., Alsaleh, A., Alhazmi, A., Elmabri, A., Wani, A., Rencuzogullari, A., Lasarte, A. S., Rubio, A. V., Bavikatte, A., Kumar, A., Jamiri, A. -R., Padilla, A. M. A., Cacurri, A., de San Ildefonso, A., Porcu, A., Sartori, A., Rocca, A., Yanez, A. P., Becaria, A., Solis-Pena, A., Sretenovic, A., Urbistondo, A., Bandin, A., Najar, A., De Luca, A., Boddy, A., Charalabopoulos, A., Tzivanakis, A., Amendola, A., de Velasco, A. R. -G., Yildirim, A. C., Frontali, A., Toure, A. O., Garcia-Granero, A., Roldan, A. M., Larrainzar, A. S., Ratnayake, A. S., Gonzalez-Ganso, A. M., Minaya-Bravo, A. M., Das, A., Bondurri, A., Costanzi, A., Lucchi, A., Mazzari, A., Musig, A., Peloso, A., Piano, A., Police, A., Mihailescu, A., Pouy, A., Romano, A., Iossa, A., Leonetti, A. C., Guariniello, A., Isaac, A., Bovi, A. P. D., Chessa, A., Tromba, A., Martinez, A. A., Brillantino, A., Caira, A., Castaldi, A., Ferronetti, A., Giuliani, A., Prestera, A., la Medina, A. R. -D., Tarasconi, A., Tornambe, A., Picciariello, A., Ioannidis, A., Leppaniemi, A., Khan, A., Rashid, A., Perez-Sanchez, A. L. E., Mittal, A., Mitul, A. R., Mehraj, A., Laharwal, A., Dorisme, A., Marinis, A., Iqbal, A., Moncada, A., Braccio, B., Alkhafaji, B., de Andres Asenjo, B., Martin-Perez, B., Perez, B. S., Creavin, B., Cali, B., Pascotto, B., Stubbs, B., Retes, B. Z., Jovanovic, B., Goh, B. K. P., Sensi, B., Biddau, C., Gazia, C., Vallicelli, C., Fagundes, C. A., Santacruz, C. C., Chirico, C., Diaz, C. J. G., Petrola, C., Rodriguez, C. S., Benitez, C. Y., Dammaro, C., Faro, C. L., Reinke, C., Paez, C. D., Oliva, C., Paranjape, C., Thomas, C., Chia, C. F., Kong, C. K., De Lucia, C., Chao, C. O., Arcudi, C., Guerci, C., Chia, C., Parise, C., Folliero, C., Varela, C., Ferguson, D. M., Camacho, D., Popowich, D., Lima, D. S., Rega, D., Delogu, D., Zigiotto, D., Vinci, D., D'Antonio, D., Parini, D., Merlini, D. A., Zimmerman, D. D. E., Moro-Valdezate, D., Pertile, D., Giusti, D. M., Keller, D. S., Tarik, D., Kalivaci, D., Mazingi, D., Maldonado-Pintado, D. G., Sasia, D., Linardoutsos, D., Osilli, D., Murrone, D., Russello, D., Rodas, E., Roa, E. A. A., Ricciardi, E., Rosso, E., Saladino, E., Flores-Villalba, E., Ajs, E. R., Smith-Singares, E., Baili, E., Kouroumpas, E., Bourmpouteli, E., Douka, E., Martin-Perez, E., Guaitoli, E., Samadov, E., Francone, E., Vaterlini, E., Morales, E., Pena, E., Zhao, E., Andres, E. D. P., Benzoni, E., Erdas, E., Pinotti, E., Colas-Ruiz, E., Aytac, E., Laterza, E., Agastra, E., Foianini, E., Moscoso, E., Laviano, E., Marra, E., Cardamone, E., Licardie, E., Mpaili, E., Pinna, E., Varo, E., Navarro, F. M., Marino, F., Medas, F., Romano, F., Maraska, F., Saliu, F., Madrid, F., Rosa, F., Mastella, F., Gheza, F., Luvisetto, F., Alconchel, F., Vieira, F. M., Pareja, F., Agresta, F., Luna, F., Bonilla, F., Cordera, F., Burdio, F., Mendoza-Moreno, F., Flores, F. M., Aranda, F. P., Taylor, F., Ramos, F. L., Fernandes, F., Tropeano, F. P., Balestra, F., Bianco, F., Ceci, F., Colombo, F., Di Marzo, F., Ferrara, F., Lancellotti, F., Lazzarin, F., Litta, F., Martini, F., Pizza, F., Roscio, F., Virdis, F., Antona, F. B., Ramirez, F. C., Fernandez, F. M., Llinares, F. O., Quezada, F., Schlottmann, F., Herrera-Almario, G., Massaferro, G., Bislenghi, G., van Ramshorst, G., Luglio, G., Bointas, G., Kampouroglou, G., Papadopoulos, G., Manrique, G. A., Calini, G., Nastri, G., Formisano, G., Galiffa, G., Palini, G. M., Colucci, G., Pagano, G., Vanni, G., Pattacini, G. C., De Paola, G., Lisi, G., Partida, G., Bellanova, G., De Nobili, G., Necchi, G. S., Sinibaldi, G., Tebala, G., Bagaglini, G., Izzo, G., Argenio, G., Brisinda, G., Candilio, G., Di Grezia, G., Esposito, G., Faillace, G., Frazzetta, G., La Gumina, G., Nigri, G., Romeo, G., Amatriain, G. C., Ortega, G., Martin-Martin, G., Stavrou, G. A., Ugon, G. A., Machain, G., Marcucci, G., Martinez-Mier, G., Machain, G. M., Nari, G., Calvo, H., Fathy, H., Ahmed, H., Faraj, H., Nava, H., Macias, H. O., Nikaj, H., Solano, H., Khan, H. A., Alarcon, H. S., Ebied, H., Giani, I., Ateca, I. V., Neri, I., Roman, I. A. S., Fidoshev, I., Rodriguez, I. M., Negoi, I., Ortega, I., Bernescu, I., Russo, I. S., Rodriguez, I. V., Palomares, I., Baltazar, I., Torrejimeno, I. J., Jurado, I. M. C., Reccia, I., Hussain, I., Toledo, I. B., Mora-Guzman, I., Dogaru, I., Romic, I., Balciscueta, I., Kenington, J. C., Sagolsem, J., Jang, J. Y., Olivier, J., Lammel-Lindemann, J., Dziakova, J., Villavicencio, J. I. R., Salinas, J., Parreira, J. P. J. G., Perez, J. R., Reyes, J. A. S., Luque, J. A. M., Mak, J., Rodriguez, J. S., Kok, J. H. H., Krook, J., Diaz-Elizondo, J. A., Castell, J., Garcia-Flores, J. E., Navalon, J. M. J., Rodrigues, J. M. S., Pereira, J., Gomez, J. T. C., Luque, J. B., del Olmo, J. C. M., Salamea, J. C., Olivier, J. F. C., Laina, J. L. B., Ordonez, J. M., Gutierrez, J., Abba, J., Sofi, J. A., Sherafgan, K., Sahnan, K., Yanaga, K., Beatson, K., Asim, L., Alvarez, L., Siragusa, L., Farber, L., Ong, L., Athanasios, L., Garcia-Bruna, L., De Martino, L., Ferrario, L., Giordano, L., Gordini, L., Pio, L., Ponchietti, L., Moletta, L., Curella, L., Poggi, L., Taglietti, L., Bonavina, L., Conti, L., Goffredi, L., Ruiz, L. A. G., Barrionuevo, L., Fregoso, L. E., Cabrera, L. F., Rodriguez, L. G., Grande, L., Osoria, L. G., Gonzalez, L. J. K., Sanchez-Guillen, L., Tallon-Aguilar, L., Tresierra, L., Giavarini, L., Hasabelnabi, M., Odovic, M., Uemura, M., Khan, M., Artiles-Armas, M., David, M., Di Martino, M., Spampinato, M. G., Ribeiro, M. A. F., Viola, M., Angrisani, M., Calussi, M., Cannistra, M., Catarci, M., Cereda, M., Conte, M., Giordano, M., Pellicciaro, M., Marino, M. V., Vaterlini, M. E., Jimenez, M. F., Lolli, M. G., Bellini, M. I., Lemma, M., Chiarello, M. M., Nicola, M., Arrigo, M., Mejia, M. C., Manrique, M. M., Rodriguez-Lopez, M., Serradilla-Martin, M., Lara, M. Z., Martinez, M., Bagnall, M., Peter, M., Lara, M. C., Gomez, M. J., Paniagua-Garcia-Senorans, M., Gonzalez, M. P., Rutegard, M., Salo, M., Franceschilli, M., Silveri, M., Veroux, M., Pezzulo, M., Nardi, M., Rottoli, M., Tolonen, M., Ciro, M. P., Zuluagua, M., Cannavo, M., Cervellera, M., Iacobone, M., Montuori, M., Dominguez, M. G., Bingol-Kologlu, M., Tahir, M., Lim, M., Wilson, M. S., Wilson, M., Campanelli, M., Bisaccia, M., De Rosa, M., Maruccia, M., Paterno, M., Pisano, M., Torre, M., Trevino, M., Zuolo, M., Hernandez Bartolome, M. A., Farina, M., Pera, M., Calvo, M. P., Sotelo, M., Thway, M. M., Hassan, M., Hassan, M. S. E., Azfar, M., Bouhuwaish, M., Taha, M., Zaieem, M., Korkoman, M., Guraieb, M., Shalaby, M., Raza, M. A., Younis, M. U., Elhadi, M., Ali, M. Z., Quazi, N., Dudi-Venkata, N. N., Alselaim, N., Loria, N., Ramirez, N. V., Than, N. W., Smart, N., Trelles, N., Pinto, N., Allievi, N., Petrucciani, N., Antonacci, N., Cillara, N., Gica, N., Cristiana, N. D., Krystek, N., Falco, N., Pecorelli, N., Tamini, N., Dallas, N. A., Machairas, N., Brito, N., Fieturi, N. A., Ortega, N., Mercado, O. A., Irkorucu, O., Alsherif, O., Valles, O., Ioannidis, O., Palmas, O. H., Palmas, O. I. H., Guadarrama, O. S., Bozbiyik, O., Omelanczuk, P., Ottolino, P., Rodrigues, P., Ruiz, P., Campenni, P., Chiarade, P., Olivares, P. P., Baroffio, P., Panaccio, P., Wintringer, P., Di Fronzo, P., Talento, P., Favoriti, P., Sendino, P., Marsanic, P., Mifsut, P., Andrade, P., Ajawin, P., Abadia-Barno, P., Castaneda, P. A. N., Arevalos, P. O. S., Bellver, P. P., Koh, P. S., Souza, P., Major, P., Bali, R. S., Khattar, R. M., Melo, R. B., Ebrahiminia, R., Azar, R., Murga, R. L., Pirolo, R., Brady, R., Davies, R. J., Dholakia, R., Rattan, R., Singhal, R., Lim, R., Angelico, R., Isernia, R. M., Tutino, R., Faccincani, R., Peltrini, R., Carrera-Ceron, R., Tejos, R., Kashyap, R., Fajardo, R., Lozito, R., Pareja, R. M., Garbarino, S., Morales-Conde, S., Benli, S., Mansour, S., Flores, S., Suarez, S. L., Ben, S. L., Fuentes, S., Napetti, S., de Guzman, S. O., Awad, S., Weckmann Lujan, S. A., Gentilli, S., Grimaldi, S., Pizarro, S. O., Tayar, S., Nabi, S., Chan, S. M., Junaid, S., Rojas, S., Monetti, S., Garcia, S., Salvans, S., Tenconi, S., Shaw, S., Santoni, S., Parra, S. A., Cardenas, S., Perez-Bertolez, S., Chiappetta, S., Dessureault, S., Delis, S., Bonapasta, S. A., Rausei, S., Scaringi, S., Keswani, S., Ali, S. M., Cetinkunar, S., Fung, T. L. D., Rawashdeh, T., Lopez, T. N., De Campos, T., Duque, T. C., Perra, T., Liakakos, T., Daskalakis, T., Barnes, T., Koeter, T., Zalla, T., Gonzalez, T. E., Elosua, T., Campagnaro, T., Brown, T., Luoto, T., Oumar, T. A., Giustizieri, U., Grossi, U., Bracale, U., Rivas, U., Sosa, V., Testa, V., Andriola, V., Tonini, V., Balassone, V., Celentano, V., Progno, V., Raju, V., Carroni, V., Cavallaro, V., Katta, V. R., De Simone, V., Romaguera, V. P., Orozco, V. H. G., Luraschi, V., Rachkov, V., Turrado-L, V., Visag-Castillo, V., Dowling, V., Graham, V., Papagni, V., Vigorita, V., Fonseca, V. C., Carneros, V. J., Bellato, V., Goncalves, W., Powers, W. F., Grigg, W., Bechstein, W. O., Lim, Y. B., Altinel, Y., Golubovic, Z., Balciscueta, Z., Ielpo, B, Podda, M, Pellino, G, Pata, F, Caruso, R, Gravante, G, Di Saverio, S, and Luglio, G
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medicine.medical_specialty ,Anti-Bacterial Agents ,Appendectomy ,Appendicitis ,COVID-19 Testing ,Hospital Administration ,Humans ,Pandemics ,Personal Protective Equipment ,Practice Patterns, Physicians' ,Surveys and Questionnaires ,Attitude of Health Personnel ,COVID-19 ,Surgeons ,Coronavirus disease 2019 (COVID-19) ,Settore MED/18 - CHIRURGIA GENERALE ,COVID-19 pandemic. Acute appendicitis ,MEDLINE ,Practice Patterns ,030230 surgery ,Health administration ,03 medical and health sciences ,0302 clinical medicine ,Anti-Bacterial Agent ,Pandemic ,medicine ,Surveys and Questionnaire ,Appendiciti ,General ,Laparoscopy ,Personal protective equipment ,Physicians' ,medicine.diagnostic_test ,business.industry ,General surgery ,Original Articles ,medicine.disease ,Anti-bacterial agents ,appendectomy ,appendicitis ,COVID-19 testing ,hospital administration ,humans ,pandemics ,personal protective equipment ,practice patterns physicians' ,surveys and questionnaires ,attitude of health personnel ,surgeons ,appendicitis - COVI-19 - ACIE study - management ,Acute appendicitis ,Original Article ,Surgery ,Covid-19 ,business ,Human - Abstract
Background Surgical strategies are being adapted to face the COVID‐19 pandemic. Recommendations on the management of acute appendicitis have been based on expert opinion, but very little evidence is available. This study addressed that dearth with a snapshot of worldwide approaches to appendicitis. Methods The Association of Italian Surgeons in Europe designed an online survey to assess the current attitude of surgeons globally regarding the management of patients with acute appendicitis during the pandemic. Questions were divided into baseline information, hospital organization and screening, personal protective equipment, management and surgical approach, and patient presentation before versus during the pandemic. Results Of 744 answers, 709 (from 66 countries) were complete and were included in the analysis. Most hospitals were treating both patients with and those without COVID. There was variation in screening indications and modality used, with chest X‐ray plus molecular testing (PCR) being the commonest (19·8 per cent). Conservative management of complicated and uncomplicated appendicitis was used by 6·6 and 2·4 per cent respectively before, but 23·7 and 5·3 per cent, during the pandemic (both P, The COVID‐19 pandemic required reorganization of surgical services, affecting patients with common surgical diseases including acute appendicitis. No evidence is available on the topic. This study found global variation in screening policies, use of personal protective equipment and intraoperative directives. There has been increased adoption of non‐operative management and open appendicectomy. Hands off
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- 2021
31. Bending Capacity of Concrete-Encased Underground Electrical Duct Banks under Monotonic Loading: An Experimental Study
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Liao Qiang, Liu Tingjin, Cai Liangyi, and Yu-bing Yang
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Materials science ,Serviceability (structure) ,Article Subject ,business.industry ,0211 other engineering and technologies ,02 engineering and technology ,Bending ,Structural engineering ,Deformation (meteorology) ,Engineering (General). Civil engineering (General) ,Stress (mechanics) ,020303 mechanical engineering & transports ,Electrical conduit ,0203 mechanical engineering ,Duct (flow) ,High-density polyethylene ,Bearing capacity ,TA1-2040 ,business ,021101 geological & geomatics engineering ,Civil and Structural Engineering - Abstract
The bending capacity of concrete-encased underground electrical duct banks has been the subject of considerable investigation using the load-structure method; however, the role of high-density polyethylene (HDPE) conduits and the thresholds of electrical duct banks has not been fully scrutinized. This study examines the bending behaviors of electrical duct banks subjected to monotonic vertical loading in a soil box using an advanced monitoring device to measure the conduit diameter change. An analysis of the experiment shows the effective role of HDPE conduits in improving the bending capacity of electrical duct banks. The results suggest 5% and 7.5% as the deformation rate thresholds with respect to the ultimate states of serviceability and bearing capacity, respectively. The threshold of the longitudinal curvature radius is determined to be 18000 m. Finally, the evolution trends of the stress and deformation rates of HDPE conduits are recommended for the monitoring indexes and control standards of electrical duct banks.
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- 2021
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32. A Stacked Embedded DRAM Array for LPDDR4/4X using Hybrid Bonding 3D Integration with 34GB/s/1Gb 0.88pJ/b Logic-to-Memory Interface
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Zhan Qiong, Wang Kexin, Tan Jie, Wang Zhengwen, Li Jin, Ren Qiwei, Cheichan Kau, L. V. Hangbing, Wang Chunjuan, Sun Peng, Ching-Sung Ho, David Yang, Duan Huifu, Wang Song, Li Hua, Sun Hongbin, Kang Yi, Long Xiaodong, Wang Fan, Yu Guoqing, Jia Xuerong, Yu Bing, Yang Daohong, Li Qiannan, Fu Ni, Zhou Jun, Zuo Fengguo, Liu Ming, Jiang Xiping, Bai Liang, Li Mei, Bai Fujun, and Hu Sheng
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Hardware_MEMORYSTRUCTURES ,Reliability (semiconductor) ,business.industry ,Computer science ,Interface (computing) ,Bandwidth (signal processing) ,Wafer ,business ,Computer hardware ,Dram ,Die (integrated circuit) ,AND gate ,Electronic circuit - Abstract
Increasing demand for DRAM scaling and high-bandwidth has driven DRAM technology to 3D/2.5D integration. With the innovative Hybrid Bonding technology, a new Stacked Embedded DRAM (SEDRAM) architecture was developed on LPDDR4/4X product. In this SEDRAM, a DRAM array wafer and logic wafer were fabricated separately and then face-to-face fusion connected through ultra-high-density, low-resistance Hybrid Bonding. By separating the control, I/O, DFT and periphery circuits to a logic die, SEDRAM offers a novel approach to DRAM product development and accomplishes an extremely high-bandwidth logic-to-memory interface speed of 34GBps per 1Gb with low power consumption as low as 0.88pJ/bit.
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- 2020
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33. Exosomal TMEM88 protein as a potential biomarker in liquid biopsy for non-small-cell lung cancer
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Hu Feng, Ning Li, Hong-Mei Zhang, Shi-Yang Li, Ti Tong, Yu Bing Chen, Ying-Ying Cui, and Xuan-Bo Zhou
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business.industry ,Potential biomarkers ,Cancer research ,Medicine ,General Medicine ,Non small cell ,Liquid biopsy ,business ,Lung cancer ,medicine.disease - Published
- 2020
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34. Design and Implementation of Control System Simulation Platform for Large-scale Laser acility
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Liu Jin, Xiaowei Zhou, Baoran An, and Yu Bing
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Computer science ,business.industry ,Scale (chemistry) ,media_common.quotation_subject ,Control (management) ,Laser ,law.invention ,Software ,law ,Server ,Control system ,Embedded system ,Quality (business) ,business ,media_common - Abstract
The control system of large-scale scientific facility has the characteristics of large control scale, long development cycle and many cooperation units. Mature and convenient Simulation and test technology can greatly improves the efficiency and quality of device development and ensures the stable and efficient operation of the device. Therefore, a kind of simulation verification platform for large-scale solid-state laser facility has presented in this paper, which was used to solve the problem of the control system integration during the stage of design, development and operation. The platform consists of computing resources, physical simulation interfaces, test generators, device simulators, business simulators, and auxiliary tools, which allows Users quickly to build control simulation systems through this platform. Finally, a control simulation system of automatic alignment for optical route has been developed based on this platform.
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- 2020
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35. Simulation Verification Platform for Complex Facility Control System
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Yu Bing, Liu Jin, Xiaowei Zhou, and Baoran An
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Computer science ,business.industry ,media_common.quotation_subject ,010401 analytical chemistry ,02 engineering and technology ,021001 nanoscience & nanotechnology ,01 natural sciences ,Automation ,Software quality ,0104 chemical sciences ,Software ,Debugging ,Software deployment ,Control system ,Systems engineering ,Software design ,0210 nano-technology ,business ,Distributed control system ,media_common - Abstract
The high-power solid-state laser facility control system is a large-scale distributed control system, and its development and integration process is complicated. During the control system integration process, a large amount of control software needs to be developed to achieve the integration of various hardware devices and sub-systems. At the same time, the control system is generally divided into several sub-systems and developed by developers from different institutions. The modules are strongly coupled and developed. The difference in schedule will affect the integration debugging efficiency of the control system. In order to improve the delivery efficiency and software quality of the control system, this paper proposes a continuous integration strategy for the laser facility control system, and builds an integrated test platform based on the continuous integration tools and integrated control software testing tools to achieve software design, development, testing, and deployment automation has greatly improved the agility of control software development.
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- 2020
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36. A Text Summarization Method Based on Semantic Similarity Among Sentences
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Yu-bing Hou
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Semantic similarity ,Computer science ,business.industry ,Artificial intelligence ,computer.software_genre ,business ,computer ,Automatic summarization ,Natural language processing - Published
- 2020
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37. A Video Compression Framework Using an Overfitted Restoration Neural Network
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Lei Li, Wang Xianglin, Gang He, Yunfei Zheng, Weiying Xie, Yu Bing, Chang Wu, and Jinjia Zhou
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Ground truth ,Artificial neural network ,business.industry ,Computer science ,Deep learning ,Frame (networking) ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Process (computing) ,Data_CODINGANDINFORMATIONTHEORY ,Computer vision ,Artificial intelligence ,Bitstream ,business ,Encoder ,Data compression - Abstract
Many existing deep learning based video compression approaches apply deep neural networks (DNNs) to enhance the decoded video by learning the mapping between decoded video and raw video (ground truth). The big challenge is to train one well-fitted model (one mapping) for various video sequences. Different with the other applications such as image enhancement whose ground truth can only be obtained in the training process, the video encoder can always get the ground truth which is the raw video. It means we can train the model together with video compression and use one model for each sequence or even for each frame. The main idea of our approach is building a video compression framework (VCOR) using overfitted restoration neural network (ORNN). A lightweight ORNN is trained for a group of consecutive frames, so that it is overfitted to this group and achieves a strong restoration ability. After that, parameters of ORNN are transmitted to the decoder as a part of the encoded bitstream. At the decoder side, ORNN can perform the same strong restoration operation to the reconstructed frames. We participate in the CLIC2020 challenge on P-frame track as the team "West-World".
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- 2020
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38. Regulating spatial charge transfer over intrinsically ultrathin-carbon-encapsulated photoanodes toward solar water splitting
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Fang-Xing Xiao, Tao Li, Yu-Bing Li, Xiao-Cheng Dai, Guangcan Xiao, Bei-Bei Zhang, Yunhui He, and Ming-Hui Huang
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Materials science ,Renewable Energy, Sustainability and the Environment ,business.industry ,Energy conversion efficiency ,Heterojunction ,02 engineering and technology ,General Chemistry ,021001 nanoscience & nanotechnology ,Electron transport chain ,Electron transfer ,Semiconductor ,Photoinduced charge separation ,Optoelectronics ,General Materials Science ,Charge carrier ,0210 nano-technology ,business ,Ternary operation - Abstract
Photoinduced charge separation and transfer have been deemed the core factors affecting the efficiency of photoelectrocatalysis; precisely modulating the spatial migration of photo-induced charge carriers to the ideal reaction sites is of paramount importance for boosting the solar conversion efficiency of photoelectrochemical (PEC) cells. In this work, a combinatorial strategy has been developed to progressively construct highly efficient charge transport channels on the quintessential electrochemically anodized one-dimensional semiconductor framework (TiO2 nanotube arrays, TNTAs) by in situ annealing-induced intrinsic ultrathin carbon encapsulation. Antimony sulfide (Sb2S3) nanocrystals were subsequently attached to the interior and exterior surfaces of the carbon-encapsulated TNTA (C–TNTA) substrate forming a well-defined ternary photoanode (C–Sb2S3–TNTA) capable of triggering smooth and cascade electron transfer. Cooperativity stemming from intrinsic carbon encapsulation on the surface for fast electron transport in conjunction with Sb2S3 photosensitization for substantial visible light harvesting endows the C–Sb2S3–TNTA heterostructure with markedly enhanced solar-powered PEC water dissociation performances, conspicuously exceeding its single and binary counterparts. Furthermore, a hole transport pathway was further constructed by site-selective incorporation of an oxygen evolving catalyst (Co-Pi) in the ternary system via a photo-assisted electrodeposition or electrodeposition approach, which contributes to more enhanced separation efficiency and prolonged lifetime of photo-induced charge carriers together with improved photostability. It is expected that our work would afford a new frontier to intelligently mediate the spatial directional flow of photogenerated charge carriers and rationally construct efficient charge transport channels on the semiconductor-based photoelectrodes for high-efficiency solar energy harvesting and conversion.
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- 2019
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39. Charge transfer modulation in layer-by-layer-assembled multilayered photoanodes for solar water oxidation
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Tao Li, Shuo Hou, Yu-Bing Li, Yunhui He, Xiao-Cheng Dai, Zhi-Quan Wei, Guangcan Xiao, Fang-Xing Xiao, and Ming-Hui Huang
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Materials science ,Renewable Energy, Sustainability and the Environment ,Chalcogenide ,business.industry ,Layer by layer ,Photoredox catalysis ,Heterojunction ,02 engineering and technology ,General Chemistry ,021001 nanoscience & nanotechnology ,chemistry.chemical_compound ,chemistry ,Photoinduced charge separation ,Quantum dot ,Water splitting ,Optoelectronics ,General Materials Science ,Charge carrier ,0210 nano-technology ,business - Abstract
Recent years have witnessed a rise in the construction of transition metal chalcogenide (TMS)-based heterostructured photocatalysts in terms of their excellent light absorption and suitable energy level alignment. Nevertheless, controllable modulation of photoinduced charge separation/transfer toward target active sites for photoredox catalysis still constitutes an enduringly challenging issue. Herein, tailor-made negatively charged mercaptoacetic acid (MAA)-capped CdX@MAA (X = Se, Te, S) quantum dot (QD) and positively charged ultra-thin branched poly-ethyleneimine (BPEI) layer building blocks were alternately assembled on the hierarchically ordered TiO2 nanotube array (NP-TNTA) framework for general electrostatic layer-by-layer (LbL) assembly of spatially multilayered NP-TNTAs/(BPEI/CdX QDs)n (X = Se, Te, S) photoanodes. The ultra-thin BPEI polymer layer integrated in-between the interface of CdX QDs functions as a cascade hole transfer channel for efficiently extracting the holes photoexcited over neighboring CdX QD layers, and simultaneously, alternately deposited CdX QD layers serve as an efficacious photosensitizer for constructing directional electron flow channels. The unique integration mode and intimate interfacial interaction endowed by LbL assembly render the well-defined NP-TNTAs/(BPEI/CdX QDs)n multilayered heterostructures a high-efficiency photoanode toward photoelectrochemical (PEC) water splitting under both simulated solar and visible light irradiation, greatly outperforming the single and binary counterparts on account of in situ generation of two spatially separated charge transfer channels, ultimately synergistically boosting the separation efficiency and prolonging the lifetime of charge carriers. Our work would open up new frontiers for strategically mediating the interfacial charge transfer and advancing rational construction of heterostructured photocatalysts for solar energy conversion.
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- 2019
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40. Correlation between corin, N-terminal pro-atrial natriuretic peptide and neonatal adverse prognostic in hypertensive disorders of pregnancy
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Yi Lin, Wei Song, Hai-ying Li, Ying Zhang, Yu-bing Dong, and Yi-rou Liu
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Adult ,medicine.medical_specialty ,medicine.drug_class ,030204 cardiovascular system & hematology ,Gastroenterology ,Correlation ,03 medical and health sciences ,0302 clinical medicine ,Atrial natriuretic peptide ,Pregnancy ,Internal medicine ,Internal Medicine ,medicine ,Natriuretic peptide ,Birth Weight ,Humans ,Risk factor ,Adverse effect ,030219 obstetrics & reproductive medicine ,business.industry ,Serine Endopeptidases ,Infant, Newborn ,Obstetrics and Gynecology ,Gestational age ,Hypertension, Pregnancy-Induced ,medicine.disease ,Blood pressure ,Cross-Sectional Studies ,Case-Control Studies ,Apgar Score ,Premature Birth ,Female ,business ,Atrial Natriuretic Factor ,Biomarkers - Abstract
INTRODUCTION Atrial natriuretic peptide (ANP) regulates water-salt balance and blood pressure by promoting renal sodium and water excretion. OBJECTIVE Our study was to investigate plasma N-terminal pro-atrial natriuretic peptide (NT-proANP) and corin in hypertensive disorders of pregnancy (HDP) patients. Furthermore, the relationship between corin/NT-proANP and neonatal adverse prognosis were evaluated. METHODS Seventy-seven HDP patients and forty-eight normotensive women as control group were recruited. Clinical characteristic and plasma were collected. Plasma NT-proANP and corin were determined by ELISA. Gestational age, neonatal weight and APGAR scores were recorded. Statistical analysis was conducted. RESULTS NT-proANP and corin were significantly increased in HDP group compared with that of control (P
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- 2020
41. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure
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Shah, Sonia, Henry, Albert, Roselli, Carolina, Lin, Honghuang, Sveinbjornsson, Gardar, Fatemifar, Ghazaleh, Hedman, Asa K, Wilk, Jemma B, Morley, Michael P, Chaffin, Mark D, Helgadottir, Anna, Verweij, Niek, Dehghan, Abbas, Almgren, Peter, Andersson, Charlotte, Aragam, Krishna G, Arnlov, Johan, Backman, Joshua D, Biggs, Mary L, Bloom, Heather L, Brandimarto, Jeffrey, Brown, Michael R, Buckbinder, Leonard, Carey, David J, Chasman, Daniel I, Chen, Xing, Chen, Xu, Chung, Jonathan, Chutkow, William, Cook, James P, Delgado, Graciela E, Denaxas, Spiros, Doney, Alexander S, Doerr, Marcus, Dudley, Samuel C, Dunn, Michael E, Engstrom, Gunnar, Esko, Tonu, Felix, Stephan B, Finan, Chris, Ford, Ian, Ghanbari, Mohsen, Ghasemi, Sahar, Giedraitis, Vilmantas, Giulianini, Franco, Gottdiener, John S, Gross, Stefan, Gudbjartsson, Daniel F, Gutmann, Rebecca, Haggerty, Christopher M, van der Harst, Pim, Hyde, Craig L, Ingelsson, Erik, Jukema, J Wouter, Kavousi, Maryam, Khaw, Kay-Tee, Kleber, Marcus E, Kober, Lars, Koekemoer, Andrea, Langenberg, Claudia, Lind, Lars, Lindgren, Cecilia M, London, Barry, Lotta, Luca A, Lovering, Ruth C, Luan, Jian'an, Magnusson, Patrik, Mahajan, Anubha, Margulies, Kenneth B, Maerz, Winfried, Melander, Olle, Mordi, Ify R, Morgan, Thomas, Morris, Andrew D, Morris, Andrew P, Morrison, Alanna C, Nagle, Michael W, Nelson, Christopher P, Niessner, Alexander, Niiranen, Teemu, O'Donoghue, Michelle L, Owens, Anjali T, Palmer, Colin NA, Parry, Helen M, Perola, Markus, Portilla-Fernandez, Eliana, Psaty, Bruce M, Rice, Kenneth M, Ridker, Paul M, Romaine, Simon PR, Rotter, Jerome I, Salo, Perttu, Salomaa, Veikko, van Setten, Jessica, Shalaby, Alaa A, Smelser, Diane T, Smith, Nicholas L, Stender, Steen, Stott, David J, Svensson, Per, Tammesoo, Mari-Liis, Taylor, Kent D, Teder-Laving, Maris, Teumer, Alexander, Thorgeirsson, Gudmundur, Thorsteinsdottir, Unnur, Torp-Pedersen, Christian, Trompet, Stella, Tyl, Benoit, Uitterlinden, Andre G, Veluchamy, Abirami, Voelker, Uwe, Voors, Adriaan A, Wang, Xiaosong, Wareham, Nicholas J, Waterworth, Dawn, Weeke, Peter E, Weiss, Raul, Wiggins, Kerri L, Xing, Heming, Yerges-Armstrong, Laura M, Yu, Bing, Zannad, Faiez, Zhao, Jing Hua, Hemingway, Harry, Samani, Nilesh J, McMurray, John JV, Yang, Jian, Visscher, Peter M, Newton-Cheh, Christopher, Malarstig, Anders, Holm, Hilma, Lubitz, Steven A, Sattar, Naveed, Holmes, Michael V, Cappola, Thomas P, Asselbergs, Folkert W, Hingorani, Aroon D, Kuchenbaecker, Karoline, Ellinor, Patrick T, Lang, Chim C, Stefansson, Kari, Smith, J Gustav, Vasan, Ramachandran S, Swerdlow, Daniel I, Lumbers, R Thomas, Abecasis, Goncalo, Backman, Joshua, Bai, Xiaodong, Balasubramanian, Suganthi, Banerjee, Nilanjana, Baras, Aris, Barnard, Leland, Beechert, Christina, Blumenfeld, Andrew, Cantor, Michael, Chai, Yating, Coppola, Giovanni, Damask, Amy, Dewey, Frederick, Economides, Aris, Eom, Gisu, Forsythe, Caitlin, Fuller, Erin D, Gu, Zhenhua, Gurski, Lauren, Guzzardo, Paloma M, Habegger, Lukas, Hahn, Young, Hawes, Alicia, van Hout, Cristopher, Jones, Marcus B, Khalid, Shareef, Lattari, Michael, Li, Alexander, Lin, Nan, Liu, Daren, Lopez, Alexander, Manoochehri, Kia, Marchini, Jonathan, Marcketta, Anthony, Maxwell, Evan K, McCarthy, Shane, Mitnaul, Lyndon J, O'Dushlaine, Colm, Overton, John D, Padilla, Maria Sotiropoulos, Paulding, Charles, Penn, John, Pradhan, Manasi, Reid, Jeffrey G, Schleicher, Thomas D, Schurmann, Claudia, Shuldiner, Alan, Staples, Jeffrey C, Sun, Dylan, Toledo, Karina, Ulloa, Ricardo H, Widom, Louis, Wolf, Sarah E, Yadav, Ashish, Ye, Bin, Ctr, Regeneron Genetics, Shah, Sonia [0000-0001-5860-4526], Henry, Albert [0000-0001-7422-2288], Roselli, Carolina [0000-0001-5267-6756], Lin, Honghuang [0000-0003-3043-3942], Chaffin, Mark D. [0000-0002-1234-5562], Helgadottir, Anna [0000-0002-1806-2467], Verweij, Niek [0000-0002-4303-7685], Almgren, Peter [0000-0002-0473-0241], Chen, Xu [0000-0002-7299-3238], Ghanbari, Mohsen [0000-0002-9476-7143], Giedraitis, Vilmantas [0000-0003-3423-2021], Gross, Stefan [0000-0003-4121-7161], Guðbjartsson, Daníel F. [0000-0002-5222-9857], Hyde, Craig L. [0000-0002-6939-287X], Ingelsson, Erik [0000-0003-2256-6972], Jukema, J. Wouter [0000-0002-3246-8359], Kleber, Marcus E. [0000-0003-0663-7275], Koekemoer, Andrea [0000-0001-8222-3547], Langenberg, Claudia [0000-0002-5017-7344], Lindgren, Cecilia M. [0000-0002-4903-9374], Lovering, Ruth C. [0000-0002-9791-0064], Luan, Jian’an [0000-0003-3137-6337], Magnusson, Patrik [0000-0002-7315-7899], Mahajan, Anubha [0000-0001-5585-3420], Mordi, Ify R. [0000-0002-2686-729X], Morris, Andrew D. [0000-0002-1766-0473], Nagle, Michael W. [0000-0002-4677-7582], Nelson, Christopher P. [0000-0001-8025-2897], Palmer, Colin N. A. [0000-0002-6415-6560], Rice, Kenneth M. [0000-0002-3071-7278], Rotter, Jerome I. [0000-0001-7191-1723], Salomaa, Veikko [0000-0001-7563-5324], van Setten, Jessica [0000-0002-4934-7510], Svensson, Per [0000-0003-0372-6272], Taylor, Kent D. [0000-0002-2756-4370], Teder-Laving, Maris [0000-0002-5872-1850], Teumer, Alexander [0000-0002-8309-094X], Tyl, Benoit [0000-0001-5297-8412], Uitterlinden, Andre G. [0000-0002-7276-3387], Völker, Uwe [0000-0002-5689-3448], Wiggins, Kerri L. [0000-0003-2749-1279], Hemingway, Harry [0000-0003-2279-0624], Yang, Jian [0000-0003-2001-2474], Visscher, Peter M. [0000-0002-2143-8760], Lubitz, Steven A. [0000-0002-9599-4866], Sattar, Naveed [0000-0002-1604-2593], Cappola, Thomas P. [0000-0002-9630-7204], Asselbergs, Folkert W. [0000-0002-1692-8669], Kuchenbaecker, Karoline [0000-0001-9726-603X], Ellinor, Patrick T. [0000-0002-2067-0533], Vasan, Ramachandran S. [0000-0001-7357-5970], Lumbers, R. Thomas [0000-0002-9077-4741], Apollo - University of Cambridge Repository, Chaffin, Mark D [0000-0002-1234-5562], Guðbjartsson, Daníel F [0000-0002-5222-9857], Hyde, Craig L [0000-0002-6939-287X], Jukema, J Wouter [0000-0002-3246-8359], Kleber, Marcus E [0000-0003-0663-7275], Lindgren, Cecilia M [0000-0002-4903-9374], Lovering, Ruth C [0000-0002-9791-0064], Luan, Jian'an [0000-0003-3137-6337], Mordi, Ify R [0000-0002-2686-729X], Morris, Andrew D [0000-0002-1766-0473], Nagle, Michael W [0000-0002-4677-7582], Nelson, Christopher P [0000-0001-8025-2897], Palmer, Colin NA [0000-0002-6415-6560], Rice, Kenneth M [0000-0002-3071-7278], Rotter, Jerome I [0000-0001-7191-1723], Taylor, Kent D [0000-0002-2756-4370], Uitterlinden, Andre G [0000-0002-7276-3387], Wiggins, Kerri L [0000-0003-2749-1279], Visscher, Peter M [0000-0002-2143-8760], Lubitz, Steven A [0000-0002-9599-4866], Cappola, Thomas P [0000-0002-9630-7204], Asselbergs, Folkert W [0000-0002-1692-8669], Ellinor, Patrick T [0000-0002-2067-0533], Vasan, Ramachandran S [0000-0001-7357-5970], Lumbers, R Thomas [0000-0002-9077-4741], Palmer, Colin N A [0000-0002-6415-6560], Cardiovascular Centre (CVC), University of Queensland [Brisbane], University College of London [London] (UCL), Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], University Medical Center Groningen [Groningen] (UMCG), Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Framingham Heart Study, National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), deCODE genetics [Reykjavik], Karolinska Institutet [Stockholm], Pfizer, University of Pennsylvania [Philadelphia], University of Groningen [Groningen], Imperial College London, Lund University [Lund], Herlev and Gentofte Hospital, Massachusetts General Hospital [Boston], Department of Neurobiology, Care Sciences and Society [Stockholm, Sweden] (Division of Family Medicine), Dalarna University, Regeneron Genetics Center, 777 Old Saw Mill River Road, Tarrytown, Department of Biostatistics, University of Washington [Seattle], Emory University School of Medicine, Emory University [Atlanta, GA], The University of Texas Medical School at Houston, Department of Molecular and Functional Genomics, Geisinger, Danville, PA, Brigham and Women's Hospital [Boston], Harvard Medical School [Boston] (HMS), Regeneron Genetics Center, 777 Old Saw Mill River Road, Tarrytown, NY, Novartis Institutes for BioMedical Research (NIBR), University of Liverpool, Universität Heidelberg [Heidelberg], Medizinische Fakultät Mannheim, The Alan Turing Institute, Ninewells Hospital and Medical School [Dundee], Universität Greifswald - University of Greifswald, German Center for Cardiovascular Research (DZHK), Berlin Institute of Health (BIH), University of Minnesota System, Regeneron Pharmaceuticals [Tarrytown], Department of Clinical Sciences, Cardiovascular Epidemiology, Skane University Hospital [Lund], Institute of Genomics [Tartu, Estonia], University of Tartu, Robertson Centre for Biostatistics, University of Glasgow, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Uppsala University, Brigham & Women’s Hospital [Boston] (BWH), University of Maryland School of Medicine, University of Maryland System, School of Science and Engineering (Reykjavik University), Carver College of Medicine, University of Iowa, Geisinger Health System [Danville, PA, USA], Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, Stanford Cardiovascular Institute, Uppsala Universitet [Uppsala], Leiden University Medical Center (LUMC), Einthoven Laboratory for Experimental Vascular Medicine (ELEVM - LEIDEN), Department of Public Health and Primary Care, University of Cambridge [UK] (CAM), Rigshospitalet [Copenhagen], Copenhagen University Hospital, Glenfield Hospital, University Hospitals Leicester, MRC Epidemiology Unit, University of Cambridge [UK] (CAM)-Institute of Metabolic Science, Big Data Institute, University of Oxford [Oxford], University of Iowa [Iowa City], The Wellcome Trust Centre for Human Genetics [Oxford], Synlab Academy, Synlab Holding Deutschland GmbH, Mannheim, Medical University Graz, Skane University Hospital [Malmo], Vanderbilt University School of Medicine [Nashville], University of Edinburgh, Université médicale de Vienne, Autriche, National Institute for Health and Welfare [Helsinki], University of Turku, Birmingham Women's and Children's NHS Foundation Trust, Kaiser Permanente, Harbor UCLA Medical Center [Torrance, Ca.], Los Angeles Biomedical Research Institute (LA BioMed), University Medical Center [Utrecht], University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE), Seattle Epidemiologic Research and Information Center [Seattle], Institute of Cardiovascular and Medical Sciences [Glasgow], University of Glasgow, Department of Cardiology, Södersjukhuset, Stockholm, Estonian Genome and Medicine, Landspitali National University Hospital of Iceland, University of Iceland [Reykjavik], Aalborg University [Denmark] (AAU), Institut de Recherches SERVIER (IRS), Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-Universität Greifswald, GlaxoSmithKline, Glaxo Smith Kline, Northeastern Ohio Medical University (NEOMED), Centre d'investigation clinique plurithématique Pierre Drouin [Nancy] (CIC-P), Centre d'investigation clinique [Nancy] (CIC), Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM), Défaillance Cardiovasculaire Aiguë et Chronique (DCAC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Cardiovascular and Renal Clinical Trialists [Vandoeuvre-les-Nancy] (INI-CRCT), Institut Lorrain du Coeur et des Vaisseaux Louis Mathieu [Nancy], French-Clinical Research Infrastructure Network - F-CRIN [Paris] (Cardiovascular & Renal Clinical Trialists - CRCT ), MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, British Heart Foundation Glasgow Cardiovascular Research Centre (BHF GCRC), University of Glasgow-NHS Greater Glasgow and Clyde, Department of Cardiovascular Sciences [Leicester], University of Leicester, Queensland Brain Institute, Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, University of Dundee, National Heart and Lung Institute [London] (NHLI), Imperial College London-Royal Brompton and Harefield NHS Foundation Trust, Atherosclerosis Risk in Communities Study (ARIC)The Atherosclerosis Risk in Communities Study is carried out as a collaborative study supported by National Heart, Lung, and Blood Institute contracts N01-HC-55015, N01-HC- 55016, N01-HC-55018, N01-HC-55019, N01-HC-55020, N01-HC55021, N01-HC-55022, R01HL087641, R01HL59367, R01HL086694 and RC2 HL102419, National Human Genome Research Institute contract U01HG004402, and National Institutes of Health contract HHSN268200625226C. The authors thank the staff and participants of the ARIC study for their important contributions. Infrastructure was partly supported by Grant Number UL1RR025005, a component of the National Institutes of Health and NIH Roadmap for Medical Research. A systems BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT- CHF)This project was funded by a grant from the European Commission (FP7‐242209‐ BIOSTAT‐CHF, EudraCT 2010–020808–29). Cardiovascular Health Study (CHS) This CHS research was supported by NHLBI contracts HHSN268201200036C, HHSN268200800007C, HHSN268201800001C, HHSN268200960009C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086, and NHLBI grants U01HL080295, R01HL087652, R01HL105756, R01HL103612, R01HL120393, and U01HL130114 with additional contribution from the National Institute of Neurological Disorders and Stroke (NINDS). Additional support was provided through R01AG023629 from the National Institute on Aging (NIA). A full list of principal CHS investigators and institutions can be found at CHS-NHLBI.org. The provision of genotyping data was supported in part by the National Center for Advancing Translational Sciences, CTSI grant UL1TR001881, and the National Institute of Diabetes and Digestive and Kidney Disease Diabetes Research Center (DRC) grant DK063491 to the Southern California Diabetes Endocrinology Research Center. deCODE Heart Failure Study (deCODE) We at deCODE thank the women and men of Iceland that have participated in our studies and our colleagues that contributed to data collection and processing. DiscovEHR We acknowledge and thank all participants in Geisinger’s MyCode Community Health Initiative for their support and permission to use their health and genomic information in the DiscovEHR collaboration. This work was supported by the Regeneron Genetics Center and Geisinger. Estonian Genome Center at the University of Tartu (EGCUT) This study was supported by Estonian Research Council Grant IUT20-60, EU, H2020 grant 692145, European Union through the European Regional Development Fund (Project No. 2014-2020.4.01.15-0012) GENTRANSMED. Eplerenone Post-Acute Myocardial Infarction Heart Failure Efficacy and Survival Study (EPHESUS) The EPHESUS was supported by Pfizer, Inc. The European Prospective Investigation of Cancer, Norfolk study (EPIC-Norfolk) The EPIC-Norfolk Study is supported by programme grants from the Medical Research Council UK (G1000143) and Cancer Research UK (C864/A14136) and with additional support from the European Union, Stroke Association, British Heart Foundation, Research into Ageing, Department of Health, The Wellcome Trust and the Food Standards Agency. NJW and CL also acknowledge support from the Medical Research Council, UK (MC_UU_12015/1, MC_PC_13048). We thank all EPIC participants and staff for their contribution to the study, and thank staff from the Technical, Field Epidemiology and Data Functional Group Teams of the Medical Research Council Epidemiology Unit in Cambridge, UK, for carrying out sample preparation, DNA provision and quality control, genotyping and data handling work. Framingham Heart Study (FHS) This work was conducted using data and resources from the Framingham Heart Study (FHS) of the National Heart Lung and Blood Institute and Boston University School of Medicine. The study was supported by the National Heart, Lung and Blood Institute’s Framingham Heart Study (Contract No. N01-HC-25195 and HHSN268201500001I) and its contract with Affymetrix, Inc for genotyping services (Contract No.N02-HL-6-4278). The work was also supported by R01 HL093328, R01 HL105993, and R01 HL71039 (PI: Ramachandran). FINRISK V.S. has been supported by the Finnish Foundation for Cardiovascular Research. Genetics of Diabetes Audit and Research Tayside Scotland GoDARTS) The Wellcome Trust United Kingdom Type 2 Diabetes Case Control Collection (supporting GoDARTS) was funded by the Wellcome Trust (072960/Z/03/Z, 084726/Z/08/Z, 084727/Z/08/Z, 085475/Z/08/Z, 085475/B/08/Z) and as part of the EU IMI-SUMMIT programme. We acknowledge the support of the Health Informatics Centre, University of Dundee, for managing and supplying the anonymized data and NHS Tayside, the original data owner. The Genetic Risk Assessment of Defibrillator Events (GRADE) NIH-NHLBI R01 HL77398 (Genetic Modulators of Sudden Death). S.L. is supported by NIH grant 1R01HL139731 and American Heart Association 18SFRN34250007. The LUdwigshafen RIsk and Cardiovascular Health (LURIC) study We extend our appreciation to the participants of the LURIC study, without their collaboration, this article would not have been written. We thank the LURIC study team who were either temporarily or permanently involved in patient recruitment as well as sample and data handling, in addition to the laboratory staff at the Ludwigshafen General Hospital and the Universities of Freiburg and Ulm, Germany. LURIC has received funding from the 7th Framework Program (RiskyCAD, grant agreement number 305739 and Atheroremo, grant agreement number 201668) of the European Union. Malmö Diet and Cancer Study (MDCS) J. Gustav Smith was supported by grants from the Swedish Heart-Lung Foundation (2016- 0134 and 2016-0315), the Swedish Research Council (2017-02554), the European Research Council (ERC-STG-2015-679242), the Crafoord Foundation, Skåne University Hospital, the Scania county, governmental funding of clinical research within the Swedish National Health Service, a generous donation from the Knut and Alice Wallenberg foundation to the Wallenberg Center for Molecular Medicine in Lund, and funding from the Swedish Research Council (Linnaeus grant Dnr 349-2006-237, Strategic Research Area Exodiab Dnr 2009-1039) and Swedish Foundation for Strategic Research (Dnr IRC15- 0067) to the Lund University Diabetes Center. The Malmo Diet and Cancer Study was made possible by grants from the Swedish Cancer Society, the Swedish Medical Research Council, the Swedish Dairy Association, and the Malmo city council. Penn Heart Failure Study (PHFS) The study was supported by NIH grants (NIH R01L088577 and NIH R01H105993). Prevention of REnal and Vascular ENd-stage Disease (PREVEND) The Prevention of Renal and Vascular Endstage Disease Study (PREVEND) genetics is supported by the Dutch Kidney Foundation (Grant E033), the EU project grant GENECURE (FP-6 LSHM CT 2006 037697), the National Institutes of Health (grant LM010098), the Netherlands organisation for health research and development (NWO VENI grant 916.761.70), and the Dutch Inter University Cardiology Institute Netherlands (ICIN). Niek Verweij was supported by NWO VENI grant 016.186.125. PROspective Study of Pravastatin in the Elderly at Risk for vascular disease (PROSPER)The PROSPER study was supported by an investigator-initiated grant obtained from Bristol- Myers Squibb. Support for genotyping was provided by the seventh framework program of the European commission (grant 223004) and by the Netherlands Genomics Initiative (Netherlands Consortium for Healthy Aging grant 050-060-810). J.W.J. is an Established Clinical Investigator of the Netherlands Heart Foundation (grant 2001 D 032). Study of Health in Pomerania (SHIP) SHIP is part of the Community Medicine Research net of the University of Greifswald, Germany, which is funded by the Federal Ministry of Education and Research (grants no. 01ZZ9603, 01ZZ0103, and 01ZZ0403), the Ministry of Cultural Affairs as well as the Social Ministry of the Federal State of Mecklenburg-West Pomerania, and the network ‘Greifswald Approach to Individualized Medicine (GANI_MED)’ funded by the Federal Ministry of Education and Research (grant 03IS2061A). Genome-wide data have been supported by the Federal Ministry of Education and Research (grant no. 03ZIK012) and a joint grant from Siemens Healthineers, Erlangen, Germany and the Federal State of Mecklenburg- West Pomerania. The University of Greifswald is a member of the Caché Campus program of the InterSystems GmbH. Stabilization of Plaque using Darapladib-Thrombolysis in Myocardial Infarction 52 (SOLID)SOLID-TIMI 52 was funded by GlaxoSmithKline. TwinGene (TwinGene) TwinGene received funding from the Swedish Research Council (M-2005-1112), GenomEUtwin (EU/QLRT-2001-01254, QLG2-CT-2002-01254), NIH DK U01-066134, The Swedish Foundation for Strategic Research (SSF) and the Heart and Lung foundation no. 20070481. TwinGene is part of the Swedish Twin Registry which is managed by Karolinska Institutet and receives funding through the Swedish Research Council (2017–00641). UK Biobank (UKBiobank) This research has been conducted using the UK Biobank Resource under Application Number 15422. This work was supported in part by grants to R.T.L. from the EU/EFPIA Innovative Medicines Initiative 2 Joint Undertaking BigData@Heart grant no. 116074, MRC Proximity to Discovery Award Scheme, the American Heart Association Institute for Precision Mecidine, Pfizer Ltd, the University College London British Heart Foundation Research Accelerator (AA/18/6/34223), and was supported by the National Institute for Health Research University College London Hospitals Biomedical Research Centre. A. H. is supported by the British Heart Foundation Cardiovascular Biomedicine PhD studentship. R.T.L is supported by a UK Research and Innovation Rutherford Fellowship and was previously supported by a National Institutes of Health Research Clinical Lectureship. Uppsala Longitudinal Study of Adult Men (ULSAM) J.Ä. is supported by the Swedish Research Council and the Swedish Heart Lung foundation. C.M.L is supported by the Li Ka Shing Foundation, WT-SSI/John Fell funds and by the NIHR Biomedical Research Centre, Oxford, by Widenlife and NIH (5P50HD028138- 27). Women’s Genome Health Study (WGHS) The WGHS is supported by the National Heart, Lung, and Blood Institute (HL043851 and HL080467, HL099355) and the National Cancer Institute (CA047988 and UM1CA182913), with collaborative scientific support and funding for genotyping provided by Amgen., Epidemiology, Internal Medicine, Læknadeild (HÍ), Faculty of Medicine (UI), Verkfræði- og náttúruvísindasvið (HÍ), School of Engineering and Natural Sciences (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, and University of Iceland
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0301 basic medicine ,Dánartíðni ,Epidemiology ,LOCI ,45/43 ,General Physics and Astronomy ,Muscle Proteins ,Genome-wide association study ,Disease ,Coronary Artery Disease ,030204 cardiovascular system & hematology ,Bioinformatics ,Genome-wide association studies ,DISEASE ,Ventricular Function, Left ,Coronary artery disease ,0302 clinical medicine ,Risk Factors ,Atrial Fibrillation ,IMPUTATION ,Medicine ,Blóðrásarsjúkdómar ,692/308/174 ,lcsh:Science ,2. Zero hunger ,RISK ,Multidisciplinary ,Microfilament Proteins ,article ,Atrial fibrillation ,Mendelian Randomization Analysis ,CATALOG ,3. Good health ,OBESITY ,Erfðarannsóknir ,Cardiomyopathies ,Medical Genetics ,Cyclin-Dependent Kinase Inhibitor p21 ,Science ,631/208/205/2138 ,Heart failure ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,631/443/592/2727 ,[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system ,RESOURCE ,Humans ,Mortality ,METAANALYSIS ,Genetic association ,Medicinsk genetik ,Adaptor Proteins, Signal Transducing ,Heart Failure ,HYPERTENSION ,business.industry ,Case-control study ,Klinisk medicin ,692/699/75/230 ,General Chemistry ,Cardiovascular genetics ,medicine.disease ,R1 ,030104 developmental biology ,Case-Control Studies ,lcsh:Q ,Morbidity ,Clinical Medicine ,business ,Apoptosis Regulatory Proteins ,Carrier Proteins ,Genome-Wide Association Study - Abstract
Publisher's version (útgefin grein), Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies., We acknowledge the contribution from the EchoGen Consortium.
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- 2020
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42. Uniform rectangular distribution of far-field intensity by optical phased array
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Lanxuan Zhang, Yu Hou, Yu-Bing Wang, and Junfeng Song
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Physics ,Phased-array optics ,Finite impulse response ,business.industry ,Atomic and Molecular Physics, and Optics ,Window function ,Electronic, Optical and Magnetic Materials ,Amplitude modulation ,Optics ,Amplitude ,Electrical and Electronic Engineering ,Physical and Theoretical Chemistry ,business ,Digital filter ,Intensity (heat transfer) ,Impulse response - Abstract
In this paper, to solve the problem of uneven distribution of far-field intensity of Flash Lidar, a method of amplitude modulation for optical phased array (OPA) is proposed, which makes the far-field intensity distribution close to the uniform rectangular distribution. We use the impulse response sequence of Finite Impulse Response (FIR) digital filter designed by the window functions to modulate the amplitude of the OPA. This kind of uniform intensity distribution can simultaneously detect a wide range with the same intensity. The modulation sequence can also be extended to two-dimensional situation. In the case of considering the radiation pattern of optical waveguide, the amplitude modulation sequence can also be modified to obtain the far-field pattern that is close to the uniform rectangular distribution.
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- 2022
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43. Dipyridylbenzene as a charming sensitizer to significantly enhance the photocatalytic activity of titanium dioxide
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Lijun Zhang, Qiang Wei, Heng Li, Xiang Zhang, Yu Bing, Li Meng, Ma Yundi, and Yin Shuhua
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Materials science ,business.industry ,Process Chemistry and Technology ,02 engineering and technology ,010402 general chemistry ,021001 nanoscience & nanotechnology ,Solar energy ,01 natural sciences ,Catalysis ,Hydrothermal circulation ,0104 chemical sciences ,chemistry.chemical_compound ,Adsorption ,chemistry ,Chemical engineering ,Titanium dioxide ,Photocatalysis ,0210 nano-technology ,Benzene ,business ,General Environmental Science ,Visible spectrum - Abstract
Dipyridyl benzene skeleton (Py-ph-Py) was synthesized and chem.-grafted on titanium dioxide through hydrothermal method. The novel organic/inorganic hybrid structure DPA-TiO2 displays remarkable photocatalytic activity and stability. The structural and surface characterization revealed that hybrid composites were linked with chemical ester bonds, which enabled the organic skeletons on the surface to act as charming transmitters of charges. The hybrid structure not only shortens the bond gap of catalyst hence to make charges be generated under visible light, but also transfers the photogenerated electrons in time to avoid them recombining with positive holes. In addition, the excellent adsorption capacity to waste organic compounds also contributes to its wonderful catalytic properties. The novel methodology is of great instructive to the utilization of solar energy to dispose environmental pollutions.
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- 2018
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44. Temporary Shear Brace Design Method for Steel Box Girder Viaduct in Transverse Block Construction
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Yu-bing Zhou, Xi Wu, Jin-feng Wang, and Min-quan Wang
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business.industry ,0211 other engineering and technologies ,020101 civil engineering ,02 engineering and technology ,Welding ,Slip (materials science) ,Structural engineering ,Finite element method ,Bracing ,Brace ,0201 civil engineering ,law.invention ,Transverse plane ,Deflection (engineering) ,law ,021105 building & construction ,Solid mechanics ,business ,Geology ,Civil and Structural Engineering - Abstract
Transverse block of a steel box girder viaduct can decrease the shear connection between the upper part and the lower part. As a consequence, deflection and deflection difference between blocks are significant, and the performance of weld seams and finished viaduct can be affected. To decrease the deflection of steel box blocks with an open section after transverse discretization, a piecewise uniform arrangement of temporary shear braces is proposed on condition that the total shear stiffness of the shear braces remains unchanged. First, the formulas for slip, axial force and deflection with a piecewise uniform arrangement of temporary shear braces are given, and the accuracy is verified by comparing the results with finite element method. The proposed formulas are applied to two field studies and the results show good agreement with measured data. Finally, the optimal arrangement of temporary shear braces was explored by the sequential quadratic programming optimization method. The deflection and the deflection difference at welding position are reduced significantly after bracing, and the optimal shear braces arrangement is to arrange the braces more at the ends of the blocks.
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- 2018
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45. Reduction of crosstalk between TFT-LCD and capacitive touch panel
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张文博 Zhang Wen-bo, 蔡 浩 Cai Hao, 李 洋 Li Yang, 俞 冰 Yu Bing, 米岚田 Mi Lan-tian, 卢佳惠 Lu Jia-hui, and 陈超平 Chen Chao-ping
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Crosstalk ,Materials science ,Liquid-crystal display ,Thin-film transistor ,business.industry ,law ,Capacitive sensing ,Signal Processing ,Optoelectronics ,business ,Instrumentation ,Electronic, Optical and Magnetic Materials ,law.invention - Published
- 2018
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46. Calibration and measurement method for IR target under the same solid angle
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Yang Hong-ru, Wang Jian’gang, Yan Xiaoyu, Yu Bing, Hao Shujie, Wang Xue-xin, Li Siwei, and Xie Yi
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Measurement method ,Optics ,Materials science ,business.industry ,Solid angle ,Calibration ,business ,Atomic and Molecular Physics, and Optics - Published
- 2018
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47. Plasmon-induced photoelectrochemical water oxidation enabled by in situ layer-by-layer construction of cascade charge transfer channel in multilayered photoanode
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Fang-Xing Xiao, Ming-Hui Huang, Zhiping Zeng, Yu-Bing Li, Yunhui He, Tao Li, Xiao-Cheng Dai, and Guangcan Xiao
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Materials science ,Renewable Energy, Sustainability and the Environment ,business.industry ,Graphene ,Heterojunction ,02 engineering and technology ,General Chemistry ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,0104 chemical sciences ,law.invention ,Electron transfer ,Semiconductor ,Quantum dot ,law ,Water splitting ,Optoelectronics ,General Materials Science ,Charge carrier ,0210 nano-technology ,business ,Plasmon - Abstract
Tunable and efficacious modulation of photo-induced charge carrier separation and transfer in photoelectrochemical (PEC) cell for solar water splitting constitute a central challenge. Herein, high-efficiency plasmon-induced hot carriers transfer channel has been rationally and progressively constructed by judicious layer-by-layer assembly of graphene quantum dots (GQDs) and plasmonic metal nanocrystals (Ag NCs) on the one-dimensional semiconductor (TiO2 nanorods arrays, TiO2 NRs) framework, resulting in a well-defined spatially multilayered photoanode. The unique and alternate integration of GQDs with Ag NCs on the TiO2 NRs is closely associated with charge transfer behaviors. It was unveiled that Ag NCs in situ integrated in the multilayered film enable hot electron generation, and simultaneously play a crucial role in finely relaying electron transfer from GQDs to TiO2. This gives rise to significantly enhanced solar-powered PEC water splitting performances of TiO2 NRs@Ag@GQDs ternary multilayered heterostructure, which far surpasses the corresponding binary and single counterparts. Consequently, intrinsic correlation of metal NCs with GQDs in terms of charge transport was for the first time clarified.
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- 2018
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48. Dynamic tracking and pointing accuracy measurement method of space laser communication system
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Xie Xuanmei, Hao Shujie, Wu Lei, Yu Bing, Yin Wanhong, YU Dongyu, and LI Gaoping
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Measurement method ,Computer science ,business.industry ,Computer vision ,Artificial intelligence ,Space (mathematics) ,Tracking (particle physics) ,business ,Atomic and Molecular Physics, and Optics ,Free-space optical communication - Published
- 2018
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49. A Host Material for Deep-Blue Electrophosphorescence Based on a Cuprous Metal–Organic Framework
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Lijun Zhang, Yu Bing, Jin Zhang, Heng Li, Xiaoming Wu, and Zhensheng You
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Electron mobility ,Materials science ,business.industry ,Nanotechnology ,02 engineering and technology ,Fluorene ,Electroluminescence ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,Acceptor ,0104 chemical sciences ,Surfaces, Coatings and Films ,Electronic, Optical and Magnetic Materials ,Ion ,chemistry.chemical_compound ,General Energy ,chemistry ,Optoelectronics ,Metal-organic framework ,Physical and Theoretical Chemistry ,0210 nano-technology ,business ,Phosphorescence ,Luminous efficacy - Abstract
Although metal–organic frameworks (MOFs) have promising applications in various fields, efforts to utilize MOFs as emissive layers in electroluminescent devices have not progressed well due to their intrinsic nature. Fortunately, by using fluorene derivatives and cuprous ions, a novel MOF (Cu-P6) has been synthesized for blue electrophosphorescence. The topological structure of Cu-P6 displays a 3-connected uninodal net with a cross-stacking pattern. Such a structure allowed phosphorescent Cu-P6 to exhibit a good heat resistance and luminous efficiency (Φ = 0.62) at crystalline state. By containing both donor and acceptor in the structure, Cu-P6 possesses a balanced electron and hole mobility. Especially, electrical-driven deep-blue emission of a MOF was reported for the first time. Overall, this work may open new perspectives on developing highly efficient electrophosphorescent devices based on MOFs. The utilization of earth-abundant cuprous ions is another attractive feature of Cu-P6.
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- 2017
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50. Evaluation of development efficiency of Ningbo port logistics and its synergy with urban economy
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Yu-Bing Yu
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Urban economics ,Algebra and Number Theory ,Applied Mathematics ,05 social sciences ,0211 other engineering and technologies ,0507 social and economic geography ,Port logistics ,021107 urban & regional planning ,02 engineering and technology ,Business ,050703 geography ,Analysis ,Industrial organization - Abstract
Port logistics and hinterland economic development are closely related. This paper comprehensively evaluates the development efficiency of Ningbo port logistics and its synergies with the urban eco...
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- 2017
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