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| 1 | Oncologic outcomes of primary and post-irradiated early stage rectal cancer: A retrospective cohort study显示文摘AIM: To evaluate the oncologic outcomes of primary and post-irradiated early stage rectal cancer and the effectiveness of adjuvant chemotherapy for rectal cancer patients. METHODS: Eighty-four patients with stage Ⅰ rectal cancer after radical surgery were studied retrospectively and divided into ypstage Ⅰ group (n = 45) and pstage Ⅰ group (n = 39), according to their preoperative radiation, and compared by univariate and multivariate analysis. RESULTS: The median follow-up time of patients was 70 mo. No significant difference was observed in diseaseprogression between the two groups. The 5-year disease-free survival rate was 84.4% and 92.3%, respectively (P = 0.327) and the 5-year overall survival rate was 88.9% and 92.3%, respectively, for the two groups (P = 0.692). The disease progression was not significantly associated with the pretreatment clinical stage in ypstage Ⅰ group. The 5-year disease progression rate was 10.5% and 19.2%, respectively, for the patients who received adjuvant chemotherapy and for those who rejected chemotherapy in the ypstage Ⅰ group (P = 0.681). CONCLUSION: The oncologic outcomes of primary and post-irradiated early stage rectal cancer are similar. Patients with ypstage Ⅰ rectal cancer may slightly benefit from adjuvant chemotherapy. | Chang—ZhengDu Yong—ChunChen YongCai Wei—ChengXue. JinGU | 2011 | World Journal of Gastroenterology2011，17，27： | 6 |
| 2 | A practical method utilizing multi-spectral LiDAR to aid points cloud matching in SLAM显示文摘Light Detection and Ranging(LiDAR)sensors are popular in Simultaneous Localization and Mapping(SLAM)owing to their capability of obtaining ranging information actively.Researchers have attempted to use the intensity information that accompanies each range measurement to enhance LiDAR SLAM positioning accuracy.However,before employing LiDAR intensities in SLAM,a calibration operation is usually carried out so that the intensity is independent of the incident angle and range.The range is determined from the laser beam transmitting time.Therefore,the key to using LiDAR intensities in SLAM is to obtain the incident angle between the laser beam and target surface.In a complex environment,it is difficult to obtain the incident angle robustly.This procedure also complicates the data processing in SLAM and as a result,further application of the LiDAR intensity in SLAM is hampered.Motivated by this problem,in the present study,we propose a Hyperspectral LiDAR(HSL)-based-intensity calibration-free method to aid point cloud matching in SLAM.HSL employed in this study can obtain an eight-channel range accompanied by corresponding intensity measurements.Owing to the design of the laser,the eight-channel range and intensity were collected with the same incident angle and range.According to the laser beam radiation model,the ratio values between two randomly selected channels’intensities at an identical target are independent of the range information and incident angle.To test the proposed method,the HSL was employed to scan a wall with different coloured papers pasted on it(white,red,yellow,pink,and green)at four distinct positions along a corridor(with an interval of 60 cm in between two consecutive positions).Then,a ratio value vector was constructed for each scan.The ratio value vectors between consecutive laser scans were employed to match the point cloud.A classic Iterative Closest Point(ICP)algorithm was employed to estimate the HSL motion using the range information from the matched point clouds.According to the test results,we found that pink and green papers were distinctive at 650,690,and 720 nm.A ratio value vector was constructed using 650-nm spectral information against the reference channel.Furthermore,compared with the classic ICP using range information only,the proposed method that matched ratio value vectors presented an improved performance in heading angle estimation.For the best case in the field test,the proposed method enhanced the heading angle estimation by 72%,and showed an average 25.5%improvement in a featureless spatial testing environment.The results of the primary test indicated that the proposed method has the potential to aid point cloud matching in typical SLAM of real scenarios. | Changhui Jiang Yuwei Chen Wenxin Tian Ziyi Feng Wei Li Chunchen Zhou Hui Shao Eetu Puttonen Juha Hyyppä | 2020 | Satellite Navigation2020，1，1： | 2 |
| 3 | A review of investigations on ground support requirements in coal burst‑prone mines显示文摘Ground support is widely implemented to mitigate dynamic rock failures in underground mines.This paper investigated the ground support requirements in burst-prone mines to mitigate the catastrophic dynamic rock failures of rock and/or coal bursts.First,the ground support principles and considerations in burst-prone conditions are identified.The objective of a ground support system is to increase the capacity to accommodate rock fracturing in a rockburst and,in turn,to minimize the kinetic energy of the ejected material.The support capacities of various yielding rockbolts and integrated support systems are then investigated using the test results in the laboratory.Apart from the energy absorption and yielding deformation capacity,the initial stiffness and energy absorption rate are also critical factors when applying yielding rockbolts in practice.Adding rope lacing and mesh strap to surface support elements can substantially enhance the support performance of the system.In practice,semi-analytical and empirical approaches are often used to determine the ground support elements in burst-prone areas.Semi-analytical methods first evaluate the support demand in burst risk zones and then select support elements according to their laboratory test results.Alternatively,empirical methods determine the ground support elements according to the locally established empirical rating scheme,which usually ranks the support capacities of various support systems based on ground support conditions and damage conditions.The outcomes of this study can provide insights into ground support strategies and assist the mining industry to develop effective coal burst control technologies. | Chunchen Wei Chengguo Zhang Ismet Canbulat Zhengyang Song Lianpeng Dai | 2022 | International Journal of Coal Science & Technology2022，9，1： | 1 |
| 4 | Quantitative assessment of energy changes in underground coal excavations using numerical approach显示文摘Coal burst is caused by a dynamic and unstable release of energy within the overstressed rock mass/coal during the mining process.Although the occurrence of coal burst is a result of the complex impacts of many factors,a major component of coal burst mechanism is associated with energy storage and release.This study reviewed the sources of energy that can contribute to a coal burst,principally strain and potential energy stored in the coal mass around excavations,and radiated seismic energy released by geological discontinuities.The energy balance concept proposed by[1]was utilised in numerical modellings to compute the radiated seismic energy in a modelling system and the kinetic energy of ejected rock/coal for a given burst scenario.The modelling results showed that the strain energy density(SED)around excavations increases with increasing mining depth and the maximum SED area migrates deeper into the coal.For the effect of geological features on both roadway and longwall face,the coal burst risk proneness can be assessed considering the proposed energy terms.According to the results of energy changes in excavations,the modelling predicts that for depths of ejection 2 m and 3 m the kinetic energy of a burst increases as the mining depth increases from 100 m to 1000 m,but for depth of ejection 1 m only increases until mining depth reaches 700 m and then decreases.The proposed energy-based model indicators can deepen the understanding of energy changes and the associated coal burst risks for different mining conditions. | Chunchen Wei Chengguo Zhang Onur Vardar John Watson Ismet Canbulat | 2023 | Geohazard Mechanics2023，1，1： | 0 |
| 5 | Clinical Manifestation and Laboratory Characteristics of SARS-CoV-2Infection in Pregnant Women显示文摘The severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) epidemic has become a major challenge to public health in China and other countries, considering its pathogenicity across all age groups. Pregnancy is a unique physiological condition, and is characterized by altered immunity and elevated hormone levels to actively tolerate the semiallogeneic fetus, which undergoes a sudden and substantial fluctuation during the immediate postpartum period. Changes in clinical features, laboratory characteristics, and imaging features of pregnant women during the pre-partum and postpartum periods require further elucidation. Here, we retrospectively analyzed the clinical features, laboratory characteristics, and imaging features of eight pregnant cases of SARS-CoV-2 infection during the pre-partum and post-partum periods. Our results showed that four of the eight pregnant women were asymptomatic before delivery but became symptomatic post-partum. Correspondingly, white blood cell(WBC) counts increased and lymphocyte(LYMPH) counts decreased. C-reactive protein(CRP) levels in the serum also increased to a higher level than those in general pregnancy.Therefore, it is imperative to closely monitor laboratory parameters including the WBC count, LYMPH count, and CRP,along with other imaging features in chest CT scans, to promptly prevent, diagnose, and treat a SARS-CoV-2 infection during pregnancy. | Chunchen Wu Wenzhong Yang Xiaoxue Wu Tianzhu Zhang Yaoyao Zhao Wei Ren Jianbo Xia | 2020 | Virologica Sinica2020，35，3： | 0 |
| 6 | ARTICLE OPEN Viral dynamics and antibody responses in people with asymptomatic SARS-CoV-2 infection显示文摘Over 40% of the coronavirus disease 2019(COVID-19)COVID-19 patients were asymptomatically infected with severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)and the immune responses of these asymptomatic individuals is a critical factor for developing the strategy to contain the COVID-19 pandemic.Here,we determined the viral dynamics and antibody responses among 143 asymptomatic individuals identified in a massive screening of more than 5 million people in eight districts of Wuhan in May 2020.Asymptomatic individuals were admitted to the government-designated centralized sites in accordance with policy.The incidence rate of asymptomatic infection is〜2.92/100,000.These individuals had low viral copy numbers(peaked at 315 copies/mL)and short-lived antibody responses with the estimated diminish time of 69 days.The antibody responses in individuals with persistent SARS-CoV-2 infection is much longer with the estimated diminish time of 257 days.These results imply that the immune responses in the asymptomatic individuals are not potent enough for preventing SARS-CoV-2 re-infection,which has recently been reported in recovered COVID-19 patients.This casts doubt on the efficacy of forming'herd-immunity'through natural SARS-CoV-2 infection and urges for the development of safe and effective vaccines. | Zhiwei Sui Xinhua Dai Qingbin Lu Yulan Zhang Min Huang Shufen Li Tao Peng Jie Xie Yongzhuo Zhang Chunchen Wu Jianbo Xia Lianhua Dong Jiayi Yang Wenfeng Huang Siyuan Liu Ziquan Wang Ke Li Qingfang Yang Xi Zhou Ying Wu Wei Liu Xiang Fang Ke Peng | 2021 | Signal Transduction and Targeted Therapy2021，6，6： | 0 |
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