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| 1 | Efficient InGaN-based yellow-light-emitting diodes显示文摘Realization of efficient yellow-light-emitting diodes(LEDs) has always been a challenge in solid-state lighting.Great effort has been made, but only slight advancements have occurred in the past few decades. After comprehensive work on InGaN-based yellow LEDs on Si substrate, we successfully made a breakthrough and pushed the wall-plug efficiency of 565-nm-yellow LEDs to 24.3% at 20 A∕cm^2 and 33.7% at 3 A∕cm^2. The success of yellow LEDs can be credited to the improved material quality and reduced compressive strain of InGaN quantum wells by a prestrained layer and substrate, as well as enhanced hole injection by a 3 D pn junction with V-pits. | FENGYI JIANG JIANLI ZHANG LONGQUAN XU JIE DING GUANGXU WANG XIAOMING WU XIAOLAN WANG CHUNLAN MO ZHIJUE QUAN XING GUO CHANGDA ZHENG SHUAN PAN JUNLIN LIU | 2019 | Photonics Research2019，7，2： | 13 |
| 2 | Mechanism for the formation and microphysical characteristics of submicron aerosol during heavy haze pollution episode in the Yangtze River Delta, China显示文摘 | Honglei Wang Junlin An Lijuan Shen Bin Zhu Chen Pan Zirui Liu Xiaohui Liu Qing Duan Xuan Liu Yuesi Wang | 2014 | Science of the Total Environment2014，，： | 2 |
| 3 | Changes in extreme events of temperature and precipitation over Xinjiang, northwest China, during 1960–2009显示文摘 | Baolong Wang Mingjun Zhang Junlin Wei Shengjie Wang Shanshan Li Qian Ma Xiaofei Li Shukun Pan | 2012 | Quaternary International2012，，： | 1 |
| 4 | Changes in extreme events of temperature and precipitation over Xinjiang, northwest China, during 1960–2009显示文摘 | Baolong Wang Mingjun Zhang Junlin Wei Shengjie Wang Shanshan Li Qian Ma Xiaofei Li Shukun Pan | 2012 | Quaternary International2012，，： | 1 |
| 5 | Physics-Informed AI Surrogates for Day-Ahead Wind Power Probabilistic Forecasting with Incomplete Data for Smart Grid in Smart Cities显示文摘Due to the high inherent uncertainty of renewable energy,probabilistic day-ahead wind power forecasting is crucial for modeling and controlling the uncertainty of renewable energy smart grids in smart cities.However,the accuracy and reliability of high-resolution day-ahead wind power forecasting are constrained by unreliable local weather prediction and incomplete power generation data.This article proposes a physics-informed artificial intelligence(AI)surrogates method to augment the incomplete dataset and quantify its uncertainty to improve wind power forecasting performance.The incomplete dataset,built with numerical weather prediction data,historical wind power generation,and weather factors data,is augmented based on generative adversarial networks.After augmentation,the enriched data is then fed into a multiple AI surrogates model constructed by two extreme learning machine networks to train the forecasting model for wind power.Therefore,the forecasting models’accuracy and generalization ability are improved by mining the implicit physics information from the incomplete dataset.An incomplete dataset gathered from a wind farm in North China,containing only 15 days of weather and wind power generation data withmissing points caused by occasional shutdowns,is utilized to verify the proposed method’s performance.Compared with other probabilistic forecastingmethods,the proposed method shows better accuracy and probabilistic performance on the same incomplete dataset,which highlights its potential for more flexible and sensitive maintenance of smart grids in smart cities. | Zeyu Wu Bo Sun Qiang Feng Zili Wang Junlin Pan | 2023 | Computer Modeling in Engineering & Sciences2023，，10： | 1 |
| 6 | The development of Fructus corni quality standard considering the effects of processing显示文摘The quality standards for Fructus Comi have been established based on the effects of the manufacturing processes.Three critical process parameters(CPPs)of extraction,filtration,and concentration to prepare Fructus Comi concentrate were identified by Plackett-Burman design with a single batch of Fructus Corni,which were heating medium temperature,extraction time,and water addition.Morroniside yield,loganin yield,and dry matter yield were process critical quality attributes(CQAs).CPPs arranged with a Box-Behnken design were applied to treat different batches of Fructus Comi After constructing a model that included CPPs,material propertie s,and process CQAs,loganin content was found to be the critical material attribute(CMA).The design space was calculated with a probability method.According to the limits of process CQAs,the minimum content of loganin in Fructus Corni was calculated with an error propagation method,which was 6.92 mg·g^(-1).When the content of loganin in Fructus Corni reaches up to 6.92 mg·g^(-1),the material is considered high-quality and is most suitable for the process.High-quality material can be used for production of Fructus Comi concentrate.This method can also be used to set material quality standards for other Chinese medicines. | Xingchu Gong Junlin Guo Jingjing Pan Zhenfeng Wu | 2021 | Chinese Journal of Chemical Engineering2021，34，1： | 1 |
| 7 | Preliminary Investigation of Impurity and Radiation Behaviors in the Startup Phase of HL-2A Tokamak显示文摘 | LI Wei PAN Yudong CUI Zhengying LUO Junlin DONG Jiafu | 2004 | Southwestern Institute of Physics Annual Report2004，，1： | 1 |
| 8 | Effects of V-pits covering layer position on the optoelectronic performance of InGaN green LEDs显示文摘The impact of the V-pits covering layer(VCL) position on the optoelectronic performance of InGaN-based green light-emitting diodes(LEDs) was investigated. It is found that earlier covering of V-pits will hinder the hole injection via the sidewall of V-pits, and then result in less quantum wells(QWs) participating in radioluminescence. The current-voltage characteristics show that the LEDs with earlier covering of V-pits have higher operating voltage at room temperature, and a more dramatic voltage rise with the reduction of temperature. Meanwhile, more manifested emission peaks for sidewall QWs and deeper QWs near to ntype layer was observed in the sample with earlier coveing of V-pits at cryogenic temperatures, for the reason that the holes being injected via V-pits sidewall have higher kinetic energy and could transport to deeper QWs. | Chen Xu Changda Zheng Xiaoming Wu Shuan Pan Xingan Jiang Junlin Liu Fengyi Jiang | 2019 | Journal of Semiconductors2019，40，5： | 1 |
| 9 | The role of autophagy in colitis-associated colorectal cancer显示文摘Autophagy is an evolutionarily conserved catabolic process that eliminates harmful components through lysosomal degradation.In addition to its role in maintaining cellular homeostasis,autophagy is critical to pathological processes,such as inflammation and cancer.Colitis-associated colorectal cancer(CAC)is a specific type of colorectal cancer that develops from long-standing colitis in inflammatory bowel disease(IBD)patients.Accumulating evidence indicates that autophagy of microenvironmental cells plays different but vital roles during tumorigenesis and CAC development.Herein,after summarizing the recent advances in understanding the role of autophagy in regulating the tumor microenvironment during different CAC stages,we draw the following conclusions:autophagy in intestinal epithelial cells inhibits colitis and CAC initiation but promotes CAC progression;autophagy in macrophages inhibits colitis,but its function on CAC is currently unclear;autophagy in neutrophils and cancer-associated fibroblasts(CAFs)promotes both colitis and CAC;autophagy in dendritic cells(DCs)and T cells represses both colitis and CAC;autophagy in natural killer cells(NKs)inhibits colitis,but promotes CAC;and autophagy in endothelial cells plays a controversial role in colitis and CAC.Understanding the role of autophagy in specific compartments of the tumor microenvironment during different stages of CAC may provide insight into malignant transformation,tumor progression,and combination therapy strategies for CAC. | Yuhui Wu Junlin Yao Jiansheng Xie Zhen Liu Yubin Zhou Hongming Pan Weidong Han | 2018 | Signal Transduction and Targeted Therapy2018，3，1： | 0 |
| 10 | Self-Healing All-in-One Energy Storage for Flexible Self-Powering Ammonia Smartsensors显示文摘Self-healable and flexible all-in-one self-powering smartsensing devices have recently attracted great attention.Herein,a flexible all-in-one solid-state electronic system of polyvinyl alcohol(PVA)hydrogel-based supercapacitors for self-powering ammonia smartsensors has been fabricated.Self-healing supercapacitors are prepared by integrating polypyrrole(PPy)and boron crosslinked PVA/KCl hydrogel as a sandwich configuration,exhibiting large specific capacitance of 244.81 mF cm^(-2)at 0.47 mA cm^(-2),and good charging/discharging stability of 2000 cycles,while ammonia sensors are realized by a SnO_(2)/PPy-modified conductive PVA hydrogel film,demonstrating an excellent sensing behavior toward NH_(3) vapor under 50 ppb–500 ppm.As a result,selfhealing supercapacitors could well store energy and then self-power sensing unit for remotely real-time detection via a smartphone,acquiring high flexibility of energy-sensing system.With attractive biocompatibility and selfhealing performance toward various environment,this all-in-one flexible energy-smartsensor system would pave the way to novel fabrication process in realization of wearable self-healing smart devices. | Hongting Ma Fengjuan Lv Liuxue Shen Kaizhou Yang Yu Jiang Junlin Ma Xiaodong Geng Tongrui Sun Yuzhen Pan Zhuang Xie Mianqi Xue Nan Zhu | 2022 | Energy & Environmental Materials2022，5，3： | 0 |
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