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Institution

Huazhong University of Science and Technology

EducationWuhan, China
About: Huazhong University of Science and Technology is a education organization based out in Wuhan, China. It is known for research contribution in the topics: Population & Computer science. The organization has 120339 authors who have published 122521 publications receiving 2168040 citations. The organization is also known as: Central China University of Science and Technology.


Papers
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Journal ArticleDOI
TL;DR: The new guidelines were endorsed and promulgated by the Bureau of Medical Administration of the National Health Commission of the People’s Republic of China in December 2019 and reflect the real-world situation in China regarding diagnosing and treating liver cancer in recent years.
Abstract: Background: Primary liver cancer, around 90% are hepatocellular carcinoma in China, is the fourth most common malignancy and the second leading cause of tumor-related death, thereby posing a significant threat to the life and health of the Chinese people. Summary: Since the publication of Guidelines for Diagnosis and Treatment of Primary Liver Cancer (2017 Edition) in 2018, additional high-quality evidence has emerged with relevance to the diagnosis, staging, and treatment of liver cancer in and outside China that requires the guidelines to be updated. The new edition (2019 Edition) was written by more than 70 experts in the field of liver cancer in China. They reflect the real-world situation in China regarding diagnosing and treating liver cancer in recent years. Key Messages: Most importantly, the new guidelines were endorsed and promulgated by the Bureau of Medical Administration of the National Health Commission of the People’s Republic of China in December 2019.

343 citations

Journal ArticleDOI
TL;DR: The severity of COVID-19 infection on high-resolution chest computed tomography (CT) and its relationship with clinical parameters and clinical parameters showed significant correlations with some clinical and laboratory measurements was quantified.
Abstract: OBJECTIVES: In late December 2019, an outbreak of coronavirus disease (COVID-19) in Wuhan, China was caused by a novel coronavirus, newly named severe acute respiratory syndrome coronavirus 2. We aimed to quantify the severity of COVID-19 infection on high-resolution chest computed tomography (CT) and to determine its relationship with clinical parameters. MATERIALS AND METHODS: From January 11, 2020, to February 5, 2020, the clinical, laboratory, and high-resolution CT features of 42 patients (26-75 years, 25 males) with COVID-19 were analyzed. The initial and follow-up CT, obtained a mean of 4.5 days and 11.6 days from the illness onset were retrospectively assessed for the severity and progression of pneumonia. Correlations among clinical parameters, initial CT features, and progression of opacifications were evaluated with Spearman correlation and linear regression analysis. RESULTS: Thirty-five patients (83%) exhibited a progressive process according to CT features during the early stage from onset. Follow-up CT findings showed progressive opacifications, consolidation, interstitial thickening, fibrous strips, and air bronchograms, compared with initial CT (all P < 0.05). Before regular treatments, there was a moderate correlation between the days from onset and sum score of opacifications (R = 0.68, P < 0.01). The C-reactive protein, erythrocyte sedimentation rate, and lactate dehydrogenase showed significantly positive correlation with the severity of pneumonia assessed on initial CT (Rrange, 0.36-0.75; P < 0.05). The highest temperature and the severity of opacifications assessed on initial CT were significantly related to the progression of opacifications on follow-up CT (P = 0.001-0.04). CONCLUSIONS: Patients with the COVID-19 infection usually presented with typical ground glass opacities and other CT features, which showed significant correlations with some clinical and laboratory measurements. Follow-up CT images often demonstrated progressions during the early stage from illness onset.

343 citations

Journal ArticleDOI
TL;DR: This article revisit Multiple Instance Neural Networks (MINNs) that the neural networks aim at solving the MIL problems and proposes a new type of MINN to learn bag representations, which is different from the existing MINNs that focus on estimating instance label.

343 citations

Journal ArticleDOI
TL;DR: Fractal geometry and technique have the potentials in analysis of flow and transport properties in fractal porous media as mentioned in this paper, and they have been used extensively in the past few decades.
Abstract: The flow in porous media has received a great deal of attention due to its importance and many unresolved problems in science and engineering such as geophysics, soil science, underground water resources, petroleum engineering, fibrous composite manufacturing, biophysics (tissues and organs), etc. It has been shown that natural and some synthetic porous media are fractals, and these media may be called fractal porous media. The flow and transport properties such as flow resistance and permeability for fractal porous media have steadily attracted much attention in the past decades. This review article intends to summarize the theories, methods, mathematical models, achievements, and open questions in the area of flow in fractal porous media by applying the fractal geometry theory and technique. The emphases are placed on the theoretical analysis based on the fractal geometry applied to fractal porous media. This review article shows that fractal geometry and technique have the potentials in analysis of flow and transport properties in fractal porous media. A few remarks are made with respect to the theoretical studies that should further be made in this area in the future. This article contains 220 references.

343 citations

Journal ArticleDOI
TL;DR: Those patients with both CO VID‐19 and influenza virus infection did not appear to show a more severe condition because based on the laboratory findings, imaging studies, and patient prognosis, they showed similar clinical characteristics as those patients with COVID‐19 infection only.
Abstract: The outbreak of 2019 novel coronavirus (COVID-19) infection emerged in Wuhan, China, in December 2019. Since then the novel coronavirus pneumonia disease has been spreading quickly and many countries and territories have been affected, with major outbreaks in China, South Korea, Italy, and Iran. Influenza virus has been known as a common pathogen in winter and it can cause pneumonia. It was found clinically that very few patients were diagnosed with both COVID-19 and influenza virus. A total of 5 of the 115 patients confirmed with COVID-19 were also diagnosed with influenza virus infection, with three cases being influenza A and two cases being influenza B. In this study, we describe the clinical characteristics of those patients who got infected with COVID-19 as well as influenza virus. Common symptoms at onset of illness included fever (five [100%] patients), cough (five [100%] patients), shortness of breath (five [100%] patients), nasal tampon (three [60%] patients), pharyngalgia (three [60%] patients), myalgia (two [40%] patients), fatigue (two [40%] patients), headache (two [40%] patients), and expectoration (two [40%] patients). The laboratory results showed that compared to the normal values, the patients' lymphocytes were reduced (four [80%] patients), and liver functions alanine aminotransferase and aspartate aminotransferase (two [40%] patients and two [40%] patients) and C-reactive protein (four [80%] patients) were increased when admitted to hospital. They stayed in the hospital for 14, 30, 17, 12, and 19 days (28.4 ± 7.02), respectively. The main complications for the patients were acute respiratory distress syndrome (one [20%] patients), acute liver injury (three [60%] patients), and diarrhea (two [40%] patients). All patients were given antiviral therapy (including oseltamivir), oxygen inhalation, and antibiotics. Three patients were treated with glucocorticoids including two treated with oral glucocorticoids. One of the five patients had transient hemostatic medication for hemoptysis. Fortunately, all patients did not need intensive care unit and were discharged from the hospital without death. In conclusion, those patients with both COVID-19 and influenza virus infection did not appear to show a more severe condition because based on the laboratory findings, imaging studies, and patient prognosis, they showed similar clinical characteristics as those patients with COVID-19 infection only. However, it is worth noting that the symptoms of nasal tampon and pharyngalgia may be more prone to appear for those coinfection patients.

342 citations


Authors

Showing all 121301 results

NameH-indexPapersCitations
Meir J. Stampfer2771414283776
Frank B. Hu2501675253464
Zhong Lin Wang2452529259003
Edward Giovannucci2061671179875
Eric B. Rimm196988147119
Yang Yang1712644153049
Gang Chen1673372149819
John B. Goodenough1511064113741
Yoshio Bando147123480883
Guanrong Chen141165292218
Lihong V. Wang136111872482
Yu Huang136149289209
Richard G. Pestell13047954210
Dmitri Golberg129102461788
Britton Chance128111276591
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023386
20222,147
202113,665
202013,448
201911,134