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1,159 result(s) for "Yu, Feng Quan"
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Analysis of bridge dynamic load test based on millimeter wave radar
This study proposes a millimeter-wave radar telemetry method for measuring bridge dynamic deflection, addressing limitations in traditional dynamic strain measurement methods. The method was validated through dynamic load tests on a bridge in Shunyi, focusing on comparing the calculated impact coefficients. The results revealed that the measured first-order modal frequency of 5.664 Hz exceeded the theoretical value of 4.712 Hz, indicating greater structural stiffness. The forced vibration frequency at speeds of 20 km/h, 30 km/h, and 40 km/h consistently matched the 5.664 Hz value. Impact coefficients were also analyzed, with measured values of 0.133, 0.088, and 0.183 for the respective speeds, averaging 0.135, which is lower than the theoretical average of 0.258, suggesting favorable driving conditions. The study identified a ratio of 1.12 between the dynamic strain and deflection amplification coefficients, offering insights into the dynamic behavior of simply-supported bridges. The millimeter-wave radar method demonstrated high accuracy in calculating impact coefficients and proved less sensitive to external environmental conditions, making it a robust tool for dynamic deflection testing. These findings indicate that the proposed method provides a precise and comprehensive assessment of bridge structural dynamics.
A STUDY ON THE PROFIT AND RISK OF TAIWANESE AND BRITISH BANKS
Many financial institutions have faced the challenge of declining profits and earnings in recent years due to the raging pandemic. British banks are not only affected by the pandemic but also the Brexit event that caught the eyes of the world. Although Taiwan and the United Kingdom are far apart, Taiwan is a proud nation with its chip production which has helped attract global attention to its economic development. The financial industry accounted for 6.4% GDP of Taiwan with a negative annual growth rate (-3.59%) results for the first time in the last decade. Therefore, Taiwanese banks and British banks are made as the research samples in this paper with the research period scheduled in 2015-2021. According to the empirical results, British banks are significantly affected by the pandemic while the said impact on Taiwanese banks is relatively minor.
Design of Static Traffic Management System Based on GIS
An intelligent static traffic management system is brought forward combing with application environment and requirement analysis. Functional design, logical framework design and physical framework design are then proposed and analyzed. At last, the system is applied in practice and functions of PDA payment, real-time information dissemination, parking guidance and parking data analysis are all achieved based on the Internet and GIS.
Database Design of Roadside Parking Toll Collection System
Database design methodology as the core of system design is brought forward combining the application environment and business processes of parking toll collection. Then the four stages of the parking toll collection system design are analyzed. They are the requirement analysis, conception framework design, logic framework design and physical framework design respectively. Through scheming out an optimum database mode applied to all kinds of parking toll collection system, the proposed system is able to collect parking fees based on PDA and manage the real-time information of parking lots.
Value of Combining Left Atrial Diameter and Amino-terminal Pro-brain Natriuretic Peptide to the CHA2DS2-VASc Score for Predicting Stroke and Death in Patients with Sick Sinus Syndrome after Pacemaker Implantation
Background: The CHA2DS2-VASc score is used clinically for stroke risk stratification in patients with atrial fibrillation (AF). We sought to investigate whether the CHA2DS2-VASc score predicts stroke and death in Chinese patients with sick sinus syndrome (SSS) after pacemaker implantation and to evaluate whether the predictive power of the CHA2DS2-VASc score could be improved by combining it with left atrial diameter (LAD) and amino-terminal pro-brain natriuretic peptide (NT-proBNP). Methods: A total of 481 consecutive patients with SSS who underwent pacemaker implantation from January 2004 to December 2014 in our department were included. The CHA2DS2-VASc scores were retrospectively calculated according to the hospital medical records before pacemaker implantation. The outcome data (stroke and death) were collected by pacemaker follow-up visits and telephonic follow-up until December 3 l, 2015. Results: During 2151 person-years of follow-up, 46 patients (9.6%) suffered stroke and 52 (10.8%) died. The CHA2DS2-VASc score showed a significant association with the development of stroke (hazard ratio [HR] 1.45, 95% confidence interval [CI] 1.20-1.75, P 〈 0.00 1) and death (HR 1.45, 95% CI 1.22-1.71, P 〈 0.001). The combination of increased LAD and the CHA2DS2-VASc score improved the predictive power for stroke (C-stat 0.69, 95% CI 0.61-4).77 vs. C-stat 0.66, 95% CI 0.57-0.74, P = 0.013), and the combination of increased NT-proBNP and the CHA2DS2-VASc score improved the predictive power for death (C-stat 0.70, 95% CI 0.64-0.77 vs. C-stat 0.67, 95% CI 0.60--0.75, P= 0.023). Conclusions: CHA2DS2-VASc score is valuable for predicting stroke and death risk in patients with SSS after pacemaker implantation. The addition of LAD and NT-proBNP to the CHA2DS2-VASc score improved its predictive power for stroke and death, respectively, in this patient cohort. Future prospective studies are warranted to validate the benefit of adding LAD and NT-proBNP to the CHA2DS2-VASc score for predicting stroke and death risk in non-AF populations.
Cerebral cortex modulation of pain
Pain is a complex experience encompassing sensory-discriminative, affective-motivational and cognitiv e-emotional components mediated by different mechanisms. Contrary to the traditional view that the cerebral cortex is not involved in pain perception, an extensive cortical network associated with pain processing has been revealed using multiple methods over the past decades. This network consistently includes, at least, the anterior cingulate cortex, the agranular insular cortex, the primary (SⅠ) and secondary somatosensory (SⅡ) cortices, the ventrolateral orbital cortex and the motor cortex. These cortical structures constitute the medial and lateral pain systems, the nucleus submedius-ventrolateral orbital cortex-periaqueductal gray system and motor cortex system, respectively. Multiple neurotransmitters, including opioid, glutamate, GABA and dopamine, are involved in the modulation of pain by these cortical structures. In addition, glial cells may also be involved in cortical modulation of pain and serve as one target for pain management research. This review discusses recent studies of pain modulation by these cerebral cortical structures in animals and human.
Preparation and Characterization of Activated Carbon/Viscose Fiber
Viscose fibers (VF) are widely used because of its good bio-compatibility and the adsorbent performance. In this paper, adsorbent fibers were obtained via wet spinning method with the mixed solution of activated carbon dispersion and viscose. The characterization of activated carbon/viscose fibers (ACVF) were evaluated by infrared spectroscopy (IR) scanning electron microscope (SEM) and Thermo gravimetric (TG). The results showed that activated carbon had already doped to the viscose. Benzene adsorbent performance research indicates that the adsorbent capacity of ACVFis better than VF.
Conjugated polymer nanomaterials for theranostics
Conjugated polymer nanomaterials (CPNs), as optically and electronically active materials, hold promise for biomedical imaging and drug delivery applications. This review highlights the recent advances in the utilization of CPNs in theranostics. Specifically, CPN-based in vivo imaging techniques, including near-infrared (NIR) imaging, two-photon (TP) imaging, photoacoustic (PA) imaging, and multimodal (MM) imaging, are introduced. Then, CPN-based photodynamic therapy (PDT) and photothermal therapy (PTT) are surveyed. A variety of stimuli-responsive CPN systems for drug delivery are also summarized, and the promising trends and translational challenges are discussed.
Study on the Characteristics of Fluid Flow in Stirring Vessel of New Type Stirring of KR Desulphurization
Aimed at the problem of short life of mixing head in KR mechanical mixing method for desulfurization of hot metal,a new type of mixing stir was proposed.CFD theory was used to simulate the characteristics of the fluid flow for the new type of stirring vessel of water model for KR mechanical desulfurization.Flow characteristics and structures of the flow field were investigated and compared with the traditional cross-flow type.The results show that the new type of impeller can not only improve the defects of the flow caused by stir structure of the traditional type,but also reduce the separation of mixing zone in the stirred tank and make the flow field more uniform to make the desulfurization more fully,thus shortening the mixing time,and improving the life of mixing head.Numerical simulation method has been proven to be sound by comparing with the experimental ones.
Study and Application of Camber Control Model of Intermediate Slab in Rough Rolling
In order to solve the camber problem of intermediate slab in a domestic conventional hot rolling mill, a three-dimensional elastic-plastic dynamic model was built through finite element method to quantitatively calculate the influence of lateral flow factors in different entry thicknesses, reductions, reduction ratios differences on both sides and width factors. Thus, the extending difference at outlet of intermediate slab in length was transformed into thickness difference on both sides by the results, and then the tilting value of roll gap reduction to control the camber was calculated. Based on the above results, the camber control model of intermediate slab in rough rolling was established. The practical application on the rough rolling mill obtained a decent control effect, and it proved that this model had a high accuracy.