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| 1 | Emerging in-plane anisotropic two-dimensional materials显示文摘Black phosphorus(BP)is a rapidly up and coming star in two-dimensional(2D)materials.The unique characteristic of BP is its in-plane anisotropy.This characteristic of BP ignites a new type of 2D materials that have low-symmetry structures and in-plane anisotropic properties.On this basis,they offer richer and more unique low-dimensional physics compared to isotropic 2D materials,thus providing a fertile ground for novel applications including electronics,optoelectronics,molecular detection,thermoelectric,piezoelectric,and ferroelectric with respect to in-plane anisotropy.This article reviews the recent advance in characterization and applications of in-plane anisotropic 2D materials. | Liang Li Wei Han Lejing Pi Ping Niu Junbo Han Chengliang Wang Bin Su Huiqiao Li Jie Xiong Yoshio Bando Tianyou Zhai | 2019 | InfoMat2019，1，1： | 16 |
| 2 | Prognostic factors affecting long-term outcomes in patients with brain metastasis from esophageal carcinoma显示文摘Objective: The incidence of brain metastasis from esophageal cancer(BMEC) has increased in recent years.Thus, it is necessary to identify factors that affect long-term outcomes for such patients.Methods: From January 1997 to July 2018, consecutive patients(10,043 patients, 31 with brain metastasis) with esophageal cancer(EC) treated at Zhejiang Cancer Hospital were recruited for retrospective analysis.Demographic, clinical, and pathological variables and the survival data were retrieved.Results: The median time from diagnosis of EC to diagnosis of brain metastases was 7.67(range, 0.43-55.20)months. The median survival time of BMEC patients from diagnosis of primary esophageal tumor was 16.7(range,2.33-163.30) months and the median survival time from the point of diagnosis of brain metastasis was 6.47(range,0.43-148.13) months. Univariate and multivariate analyses showed that the pathology type, EC without chemotherapy, and bone metastasis history were significantly associated with a shorter time interval between the first treatment of EC and brain metastasis. Chemotherapy history after brain metastasis, whole brain radiation therapy(WBRT) history, and surgery were significant predictors for better long-term survival outcomes.Conclusions: Our findings indicate that the use of surgery, WBRT, and chemotherapy can achieve the best therapeutic effects for BMEC patients. | Peng Zhang Lejing Yao Ming Chen Wei Feng | 2020 | Chinese Journal of Cancer Research2020，32，6： | 2 |
| 3 | Astrocyte elevated gene-1: a novel independent prognostic biomarker for metastatic ovarian tumors显示文摘 | Cong Li Kexin Chen Jianping Cai Qing-Tao Shi Yinghong Li Lejing Li Hongtao Song Huilei Qiu Yu Qin Jing-Shu Geng | 2014 | Tumor Biology2014，，4： | 1 |
| 4 | The effect of nesiritide versus amineon short2termoutcomesin the treatment of patientswith acutepensated heart failure显示文摘 | Burger AJ Horton DP Leje T | 2002 | J Am Coll Cardiol2002，39，5： | 1 |
| 5 | The effect of nesiritide versus dobutamine on short-term outcomes in the treatment of patients with acute decompensated heart failure显示文摘 | BURGER A J HORTON D P LEJE T | 2002 | J Am Coll Cardiol2002，39，5： | 1 |
| 6 | Recent progress on discovery and properties prediction of energy materials:Simple machine learning meets complex quantum chemistry显示文摘In nature,the properties of matter are ultimately governed by the electronic structures.Quantum chemistry(QC)at electronic level matches well with a few simple physical assumptions in solving simple problems.To date,machine learning(ML)algorithm has been migrated to this field to simplify calculations and improve fidelity.This review introduces the basic information on universal electron structures of emerging energy materials and ML algorithms involved in the prediction of material properties.Then,the structure-property relationships based on ML algorithm and QC theory are reviewed.Especially,the summary of recently reported applications on classifying crystal structure,modeling electronic structure,optimizing experimental method,and predicting performance is provided.Last,an outlook on ML assisted QC calculation towards identifying emerging energy materials is also presented. | Yongqiang Kang Lejing Li Baohua Li | 2021 | Journal of Energy Chemistry2021，30，3： | 1 |
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