17 results match your criteria: "Huazhong Univ. of Science and Technology[Affiliation]"
Sci Rep
November 2024
Public Works Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt.
Understanding the complex stress-strain hysteresis behavior of asphalt binders under varied conditions is critical for optimizing pavement performance. This study addresses the challenge by analyzing and modeling asphalt binder responses in oscillating shear mode across different aging states (unaged, short-term aged, and long-term aged), stretch amplitudes, frequencies, and temperatures. Fifty-three stress-strain hysteresis loops were meticulously analyzed, revealing distinct stress paths relative to applied stretch levels.
View Article and Find Full Text PDFWaste Manag
February 2023
Civil and Hydraulic Engr., Huazhong Univ. of Science and Technology, Wuhan 430074, China.
Machine learning models (MLMs) were developed to predict saturated hydraulic conductivity of compacted soil barriers and help to identify appropriate soils for the construction of landfill liners and covers. Data from hydraulic conductivity tests on compacted soil barriers were collected from the literature and compiled into a database for MLM construction. The database contains 329 records of hydraulic conductivity tests associated with 12 selected impact factors covering physical properties, compaction efforts, and hydration and mineralogy behaviors of compacted soil barriers.
View Article and Find Full Text PDFSignificance: The multimodality imaging system has become a powerful tool for in-vivo biomedical research. However, a conventional multimodality system generally employs two independent detectors, which is costly and bulky. Meanwhile, the geometric cocalibration and image registration between the imaging modalities are also complicated.
View Article and Find Full Text PDFRadiology
February 2022
From the Dept of Diagnostic Imaging, Juravinski Hosp and Cancer Centre, Hamilton Health Sciences, McMaster Univ, Hamilton, Canada (C.B.v.d.P.); Dept of Radiology and Epidemiology, Univ of Ottawa, Ottawa, Canada (M.D.F.M.); Ottawa Hosp Research Inst Clinical Epidemiology Program, Dept of Medical Imaging, the Ottawa Hosp-Civic Campus, 1053 Carling Ave, Room c-159, Ottawa, ON, Canada K1E 4Y9 (M.D.F.M.); Faculty of Health Sciences, Queen's Univ, Kingston, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa Hosp Research Inst, Ottawa, Canada (J.P.S.); Centre for Prognosis Research, School of Medicine, Keele Univ, Staffordshire, UK (B.L.); Dept of Radiology, Montefiore Medical Ctr, Bronx, NY (V.C.); Liver Imaging Group, Dept of Radiology, Univ of California San Diego, San Diego, Calif (C.B.S.); Depts of Radiology (M.R.B., B.C.A.) and Medicine (M.R.B.) and Ctr for Advanced Magnetic Resonance Development (M.R.B.), Duke Univ Medical Ctr, Durham, NC; Dept of Radiology, Univ of North Carolina, Chapel Hill, NC (M.R.B., L.M.B.B., K.A.M.); Dept of Radiology, Research Inst of Radiological Science, Yonsei Univ College of Medicine, Seoul, Korea (J.Y.C., M.J.K., Y.Y.K., M.S.P.); Asan Medical Ctr, Univ of Ulsan College of Medicine, Seoul, Korea (S.H.C.); BCLC Group, Liver Unit, Hosp Clínic of Barcelona, Barcelona, Spain (A.F.); IDIBAPS, CIBERehd, Univ of Barcelona, Barcelona, Spain (A.F.); Mallinckrodt Inst of Radiology, Washington Univ School of Medicine, St Louis, Mo (T.J.F.); Div of Internal Medicine, Hepatobiliary and Immunoallergic Diseases (A.G., F.P., E.T.), and Emergency Dept, Medicina d'Urgenza e Pronto Soccorso (L.M.), IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy; Dept of Radiology, West China Hosp, Sichuan Univ, Chengdu, China (H.J.); Dept of Radiology (I.J., H.J.K., J.H.K., J.M.L.) and Inst of Radiation Medicine (J.H.K., J.M.L.), Seoul National Univ Hosp, Seoul, Korea; Dept of Radiology, Seoul National Univ College of Medicine, Seoul, Korea (I.J., J.H.K., J.M.L.); Dept of Radiology, Tongji Hosp, Tongji Medical College, Wuhan, China (Z.K.); Huazhong Univ of Science and Technology, Wuhan, China (Z.K.); Dept of Radiology, Weill Cornell Medical Ctr, New York, NY (A.S.K.); Dept of Radiology (G.K., T.Y.) and Advanced Imaging Research Ctr (T.Y.), Univ of Texas Southwestern Medical Ctr, Dallas, Tex; Dept of Radiology and Research Inst of Radiology, Univ of Ulsan College of Medicine, Asan Medical Ctr, Seoul, Korea (S.Y.K.); Dept of Radiology, Dong-A Univ Hosp, Dong-A Univ College of Medicine, Busan, Korea (H.K.); Dept of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (S.C.L.); 2nd Radiology Dept, Warsaw Medical Univ, Warsaw, Poland (J.P., G.R.); Inst of Diagnostic and Interventional Radiology, Univ Hosp Zurich, Zurich, Switzerland (C.S.R.); Dept of Radiology, Beaujon Hosp, APHP.Nord, Clichy, France (M.R.); Université de Paris, Paris, France (M.R.); Dept of Radiology, West China Hosp, Sichuan Univ, Chengdu, China (B.S.); Dept of Radiology, Jeonbuk National Univ Medical School and Hosp, Jeonju, Korea (J.S.S.); Dept of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Canada (A.T.); Dept of Radiology, the Third Affiliated Hosp, Sun Yat-sen Univ, Guangzhou, China (J.W.); Dept of Medical Ultrasonics, Inst of Diagnostic and Interventional Ultrasound, the First Affiliated Hosp of Sun Yat-Sen Univ, Guangzhou, China (W.W.); Depts of Radiology and Medicine, Div of Gastroenterology, Univ of Calgary, Calgary, Canada (S.R.W.); and Foothills Medical Centre, Calgary, Canada (S.R.W.).
Background The Liver Imaging Reporting and Data System (LI-RADS) assigns a risk category for hepatocellular carcinoma (HCC) to imaging observations. Establishing the contributions of major features can inform the diagnostic algorithm. Purpose To perform a systematic review and individual patient data meta-analysis to establish the probability of HCC for each LI-RADS major feature using CT/MRI and contrast-enhanced US (CEUS) LI-RADS in patients at high risk for HCC.
View Article and Find Full Text PDFEnviron Pollut
August 2021
Center for Smart and Healthy Buildings, Huazhong Univ. of Science and Technology, Wuhan, Hubei, 430074, China.
Evidence of the effects of long-term household air pollution (HAP) on human mental health is limited. This study aimed to explore the longitudinal relationship between long-term household air pollution exposure from solid fuel use and depression based on nationally representative follow-up dataset. A total of 7005 middle- and old-age adults from the latest four waves (2011, 2013, 2015, and 2018) of China Health and Retirement Longitudinal Study (CHARLS) were involved.
View Article and Find Full Text PDFHealth Place
November 2020
Center for Smart and Healthy Buildings, Huazhong Univ. of Science and Technology, Wuhan, Hubei, 430074, China. Electronic address:
Despite growing evidence of the relationship between residential environment and depressive symptoms, little is known about this longitudinal relationship for elderly. Based on the follow-up survey (2011, 2013, and 2015) of the China Health and Retirement Longitudinal Study (CHARLS), this study investigated the association between residential environment and depressive symptoms among Chinese middle- and old-aged adults using repeated measures mixed models and Cox proportional hazards regression models. We found that external building characteristics, indoor space layout, household facilities, and indoor environment have significant effects on depressive symptoms in the elderly.
View Article and Find Full Text PDFJ Environ Qual
March 2020
Environmental Science Research Institute, School of Environmental Science and Engineering, Huazhong Univ. of Science and Technology, Wuhan, 430074, PR China.
In this work, the use of a coupled process, alkyl glycoside (APG) enhanced soil desorption followed by the zero-valent iron-ethylenediaminetetraacetic acid (EDTA)-air (ZEA) Fenton-like system, was investigated for the remediation of a simulated hexachlorobenzene (HCB)-contaminated diatomite soil and a real HCB-contaminated soil. Three surfactants with different concentrations were studied to obtain the suitable soil desorption agent. Compared with APG0810 and Triton x-100, APG0814 showed a better solubilization effect due to its lower critical micelle concentration.
View Article and Find Full Text PDFWe demonstrate a propagating-path uniformly scanned light sheet excitation (PULSE) microscopy based on the oscillation of voice coil motor that can rapidly drive a thin light sheet along its propagation direction. By synchronizing the rolling shutter of a camera with the motion of laser sheet, we can obtain a uniform plane-illuminated image far beyond the confocal range of Gaussian beam. A stable 1.
View Article and Find Full Text PDFJ Biomed Opt
March 2019
Britton Chance Ctr. for Biomedical Photonics, Huazhong Univ. of Science and Technology, China.
Working memory (WM) plays a crucial role in human brain functions. The application of brain connectivity analysis helps to understand the brain network properties in WM. Combination of functional and effective connectivity can provide new insights for exploring network attributes.
View Article and Find Full Text PDFJ Food Sci
July 2018
Dept. of Pharmacy, Tongji Hospital Affiliated with Tongji Medical College, Huazhong Univ. of Science and Technology, Wuhan, 430030, China.
Unlabelled: A variety of beneficial pharmacological activities have been reported for dihydromyricetin (DMY), however, its oral bioavailability is poor and the intestinal absorption profiles of DMY remains unknown. The aim of this study was to investigate the uptake and transport mechanism of DMY in human intestinal Caco-2 cells. DMY was detected using a liquid chromatography-tandem mass spectrometry method.
View Article and Find Full Text PDFJ Food Sci
May 2018
Dept. of Pharmacy, Tongji Hospital Affiliated with Tongji Medical College, Huazhong Univ. of Science and Technology, Wuhan, 430030, China.
Unlabelled: Dihydromyricetin (DMY) is the main bioactive constituent in vine tea (Ampelopsis grossedentata), which was predominantly distributed in the gastrointestinal tract and showed poor oral bioavailability. Our aim was to systematically investigate the interactions of DMY with gut microbiota. Through the metabolism study of DMY by fecal microflora in vitro, it was found that DMY could be metabolized into three metabolites by fecal microflora via reduction and dehydroxylation pathways, and the dehydroxylation metabolite was the dominant one.
View Article and Find Full Text PDFJ Food Sci
September 2017
College of Pharmacy, Hubei Univ. of Chinese Medicine, Wuhan, Hubei, China.
Curcuminoids are functional secondary metabolites abundant in turmeric. In the present study, a simple and efficient method for enrichment of curcuminoids from turmeric was developed using macroporous resin. Eight different types of macroporous resins were examined by static adsorption/desorption properties and the type of XDA-7 was selected as the optimum one.
View Article and Find Full Text PDFJ Food Sci
May 2016
Tongji School of Pharmacy, Huazhong Univ. of Science and Technology, 13 Hangkong Road, Wuhan, Hubei, China.
Kuding tea are used as a traditional tea material and widely consumed in China. In this study, total saponins (TS) from water extract of Kuding tea was prepared by D101 macroporous resins and analyzed by UPLC-QTOF-MS/MS. Then the hypolipidemic effect of TS extract was investigated in high-fat diet-induced hyperlipidemic mice.
View Article and Find Full Text PDFAm J Physiol Renal Physiol
April 2014
Division of Nephrology, Dept. of Internal Medicine, Tongji Hospital, Huazhong Univ. of Science and Technology, 1095 Jiefang Ave., Wuhan 430030, Hubei, People's Republic of China.
Antiglomerular basement membrane glomerulonephritis (anti-GBM GN) is a Th1- and Th17-predominant autoimmune disease. Galectin-9 (Gal-9), identified as the ligand of Tim-3, functions in diverse biological processes and leads to the apoptosis of CD4(+)Tim-3(+) T cells. It is still unclear how Gal-9 regulates the functions of Th1 and Th17 cells and prevents renal injury in anti-GBM GN.
View Article and Find Full Text PDFAm J Physiol Cell Physiol
May 2010
Dept. of Pharmacology, Tongji Medical College, Huazhong Univ. of Science and Technology, Wuhan, China.
Cardiac c-kit(+) cells are generally believed to be the major population of stem/progenitor cells in the heart and can be used as a cell source for cardiomyoplasty; however, the cellular electrophysiological properties are not understood in this type of cells. The present study was designed to investigate functional ion channels in undifferentiated mouse cardiac c-kit(+) cells using approaches of whole cell patch voltage clamp, RT-PCR, and cell proliferation assay. It was found that three types of ionic currents were present in mouse cardiac c-kit(+) cells, including a delayed rectifier K(+) current (IK(DR)) inhibited by 4-aminopyridine (4-AP), an inward rectifier K(+) current (I(Kir)) decreased by Ba(2+), and a volume-sensitive chloride current (I(Cl.
View Article and Find Full Text PDFAm J Physiol Endocrinol Metab
February 2010
Dept. of Pharmacology, Tongji Medical College, Huazhong Univ. of Science and Technology, Wuhan, Hubei 430030 China.
The adipocyte-derived hormone leptin and the pancreatic beta-cell-derived hormone insulin function as afferent signals to the hypothalamus in an endocrine feedback loop that regulates body adiposity. They act in hypothalamic centers to modulate the function of specific neuronal subtypes, such as neuropeptide Y (NPY) neurons, by modifying neuronal electrical activity. To investigate the intrinsic activity of these neurons and their responses to insulin and leptin, we used a combination of morphological features and immunocytochemical technique to identify the NPY neurons of hypothalamic arcuate nucleus (ARC) and record whole cell large-conductance Ca(2+)-activated potassium (BK) currents on them.
View Article and Find Full Text PDFProc IEEE Int Conf Comput Vis
May 2010
Temple University, Philadelphia, 19122, USA,
We propose a novel framework for contour based object detection and recognition, which we formulate as a joint contour fragment grouping and labeling problem. For a given set of contours of model shapes, we simultaneously perform selection of relevant contour fragments in edge images, grouping of the selected contour fragments, and their matching to the model contours. The inference in all these steps is performed using particle filters (PF) but with static observations.
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