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| 1 | Chemical characteristics of PM_(2.5) during dust storms and air pollution events in Chengdu,China显示文摘每天好的微粒(PM2.5 ) 样品从 2009 年 4 月在 Chengdu 被收集到 2010 年 2 月在灰尘暴风雨(决策支持系统) 和污染事件的几种类型期间调查他们的化学侧面,包括薄雾(HD ) ,燃烧的生物资源(BB ) ,和焰火显示(FD ) 。最高的 PM2.5 集体集中在决策支持系统(283.3 g/m3 ) 期间被发现,列在后面由 FD (212.7 g/m3 ) , HD (187.3 g/m3 ) ,和 BB (130.1 g/m3 ) 。大多数元素的集中在决策支持系统和污染事件期间被提高,除了 BB。第二等的无机的离子(NO3, SO42,和 NH4+) 在 HD 期间被充实,当从 BB 的 PM2.5 显示出高 K+ 时但是低 SO42。FD 在 SO42 在 K+ 和丰富引起了增加。Ca2+ 充满 DS 样品。离子平衡计算从 HD 显示了那 PM2.5, FD 比在正常的天更酸,但是 DS 和 BB 粒子是碱的。最高器官的碳(OC ) 集中在 FD 期间是 26.1 g/m3,列在后面由 BB (23.6 g/m3 ) , HD (19.6 g/m3 ) ,和决策支持系统(18.8 g/m3 ) 。相反,元素的碳(EC ) 集中比在 BB (6.2 g/m3 ) 和决策支持系统(6.0 g/m3 ) 期间在 HD (10.6 g/m3 ) 和 FD (9.5 g/m3 ) 期间是更丰富的。最高的 OC/EC 比率在 BB 期间被获得,与在 HD 期间最低。SO42/K+ 和 TCA/SO42 比率证明了是为区分污染事件的有效指示物。集体平衡证明那有机物, SO42,和 NO3 在污染事件期间是主导的化学部件,当土壤灰尘在决策支持系统期间是主导的时。 | Qiyuan Wang Junji Cao Zhenxing Shen JunTao Shun Xiao Lei Luo Qingyang He Xinying Tang | 2013 | Particuology2013，11，1： | 23 |
| 2 | Chip-scale broadband spectroscopic chemical sensing using an integrated supercontinuum source in a chalcogenide glass waveguide显示文摘On-chip spectroscopic sensors have attracted increasing attention for portable and field-deployable chemical detection applications. So far, these sensors largely rely on benchtop tunable lasers for spectroscopic interrogation. Large footprint and mechanical fragility of the sources, however, preclude compact sensing system integration. In this paper, we address the challenge through demonstrating, for the first time to our knowledge, a supercontinuum source integrated on-chip spectroscopic sensor, where we leverage nonlinear Ge_(22)Sb_(18)Se_(60) chalcogenide glass waveguides as a unified platform for both broadband supercontinuum generation and chemical detection. A home-built, palm-sized femtosecond laser centering at 1560 nm wavelength was used as the pumping source. Sensing capability of the system was validated through quantifying the optical absorption of chloroform solutions at 1695 nm. This work represents an important step towards realizing a miniaturized spectroscopic sensing system based on photonic chips. | QINGYANG DU ZHENGQIAN LUO HUIKAI ZHONG YIFEI ZHANG YIZHONG HUANG TUANJIE DU WEI ZHANG TIAN GU JUEJUN HU | 2018 | Photonics Research2018，6，6： | 9 |
| 3 | Novel roll effector based on zero-mass-flux dual synthetic jets and its flight test显示文摘The autonomous and controllable Dual Synthetic Jet Actuator(DSJA)is firstly integrated into the Unmanned Aerial Vehicle(UAV),and flight tests without the deflection of rudders are carried out to verify the viability of DSJA to control the attitudes of UAV during cruising.DSJA is improved into an actuator with two diaphragms and three cavities,which has higher energy levels.Actuators,differentially distributed on both sides of the wings,are installed on the trailing edge close to the wing tips.Flight tests,containing Differential Circulation Control(DCC)using double-side actuators,Positive Circulation Control(PCC)using left-side actuators and Negative Circulation Control(NCC)using right-side actuators,are implemented at cruising speed of 25 m/s.Results show that roll attitude control without rudders could be realized by DSJAs.DCC and NCC can generate the rightward roll and yaw angular velocity,prompting UAV to turn right.The stronger controlling ability can be achieved by DCC,with the maximum roll angular velocity of 15.62(°)/s.PCC can generate a rightward roll moment,but a leftward yaw moment will be produced at the same time.Leftward yaw induces the leftward rolling moment,which weakens the roll control effect,making UAV keep to yaw to the left with a small slope. | Zhenbing LUO Zhijie ZHAO Jiefu LIU Xiong DENG Mu ZHENG Hang YANG Qingyang CHEN Shiqing LI | 2022 | Chinese Journal of Aeronautics2022，35，8： | 7 |
| 4 | Effect of a dual-function solar collector integrated with building on the cooling load of building in summer显示文摘As a building integrated solar thermal system,the dual-function solar collector integrated with building works for passive space heating in cold winter season,and for water heating in warm seasons.In this paper,the study is made on the dual-function solar collector integrated with building when it works in water heating mode with natural circulation.The coupled model of the collector and building's environment is established and validated.A numerical simulation is achieved to show the thermal effect of the novel system on the building in summer.By comparing with the cooling loads of the rooms with or without the novel collector in summer,the results show that when in summer,the novel solar system is available for serving hot water,and it does not have the summer overheating problem,and can even improve the thermal environment of its building slightly. | JI Jie LUO ChengLong SUN Wei HE Wei JIANG QingYang | 2010 | Chinese Science Bulletin2010，55，31： | 5 |
| 5 | The influence of pore size distribution on thermal conductivity,permeability, and phase change behavior of hierarchical porous materials显示文摘Porous foams have been widely employed to improve heat storage rate and prevent leakage of phase change materials(PCMs).Actual porous foams have non-uniform or hierarchical pore size distribution, which is usually neglected in most researches.Here, we establish hierarchical porous models considering different pore size distributions by using Voronoi tessellations. Effects of pore size distribution on thermal conductivity, permeability, and phase change behavior of hierarchical porous foams/PCMs composites are investigated. Uneven pore size distributions are found to decrease the thermal conductivity of porous foams to some extent. On the other hand, the permeability can be reduced by 27.6%, and the heat storage rate can be improved by 7.7% by introducing moderate hierarchy without changing the total porosity. This work opens a new route to enhance heat storage performance of PCMs via leveraging hierarchy of pore size distribution of porous foams. | LIU XiangLei SONG FangZhou XU Qiao LUO QingYang TIAN Yang LI JiaWei YANG XinMeng JIN Yi | 2021 | Science China(Technological Sciences)2021，64，11： | 3 |
| 6 | From sawdust waste to high-value hierarchical ceramics-based phase change materials: Efficient dual functional thermal and solar energy storage显示文摘Latent heat thermal energy storage(LHTES) technology is gaining extensive attention due to its capability to balance supply and demand mismatch in solar energy utilization. However, phase change material as the core of storing latent heat still suffers from low thermal conductivity and poor shape stability, which severely restricts its practical application. Here, an eco-friendly strategy for achieving high-performance dual functional thermal and solar energy storage is proposed via turning wood processing waste into high-value hierarchical porous SiC ceramic-based composite phase change materials. The porosity of prepared porous SiC skeletons is highly adjustable from 59.4% to 90.2%, overcoming low porosity limitations of traditional wood materials and enabling tunable energy storage density for various applications. High thermal conductivity is achieved by benefiting from large grains and continuous skeletons with a value up to 37.93 and 1.87 W/(m K) for porosity of 59.4% and 90.2%, respectively.Excellent stabilities are demonstrated with only slight decreases of thermal conductivity and energy storage density over 1000 cycles and good anti-leakage properties are confirmed due to capillary adsorption forces induced by hierarchical pores. Benefiting from high thermal conductivity and high solar absorptance, fast and efficient solar thermal energy storage is successfully demonstrated. This work provides a new strategy for the high-value utilization of wood processing waste and efficient thermal/solar energy storage. | LIU XiangLei WEI PeiDong LUO QingYang XU Qiao WANG JianGuo LV ShuShan TIAN Yang YAO HaiChen XUAN YiMin | 2023 | Science China(Technological Sciences)2023，66，9： | 0 |
| 7 | Artificial“honeycomb-honey”decorated with non-noble plasmonic nanoparticles for superior solar capture and thermal energy storage显示文摘Phase change materials(PCMs)are popular solutions to tackle the unbalance of thermal energy supply and demand,but suffer from low thermal conductivity and leakage problems.Inspired by how honeybees store honey,we propose artificial“honeycombhoney”for excellent solar and thermal energy storage capacity based on TiN nanoparticles decorated porous AlN skeletonsPCMs composites.The thermal conductivity of composites achieves 21.58 W/(m·K)at AlN loading of 20 vol.%,superior to the state-of-the-art ceramic-based composites.The charging/discharging time is reduced to about half of pure PCMs with shapestability and thermal reliability well maintained over 500 melting/freezing cycles.The underlying mechanism can be attributed to the combination of single-crystal AlN whiskers with few crystal defects and reduced phonon scattering,as well as vertically arranged three-dimantional(3D)heat conduction channels.A rapid and efficient solar thermal storage is also demonstrated with solar thermal storage efficiency achieving a high value of 92.9%without employing additional spectrum selective coatings.This is benefited from high thermal conductivity and full-spectrum solar absorptance of up to 95%induced by plasmonic resonances of TiN nanoparticles.In addition,by embedding LiNO3-NaCl eutectics,the phase change enthalpy of composites reaches as high as 208 kJ/kg,making high energy storage density and fast energy storage rate compatible.This work offers new routes to achieve rapid,efficient,stable,and compact solar capture and thermal energy storage. | Haolei Wang Xianglei Liu Qingyang Luo Haichen Yao Qiao Xu Yang Tian Jianguo Wang Yimin Xuan | 2022 | Nano Research2022，15，9： | 0 |
| 8 | Definition and verification of novel metastasis and recurrence related signatures of ccRCC: A multicohort study显示文摘Background:Cancer metastasis and recurrence remain major challenges in renal carcinoma patient management.There are limited biomarkers to predict the metastatic probability of renal cancer,especially in the early-stage subgroup.Here,our study applied robust machine-learning algorithms to identify metastatic and recurrence-related signatures across multiple renal cancer cohorts,which reached high accuracy in both training and testing cohorts.Methods:Clear cell renal cell carcinoma(ccRCC)patients with primary or metastatic site sequencing information from eight cohorts,including one outhouse cohort,were enrolled in this study.Three robust machine-learning algorithms were applied to identify metastatic signatures.Then,two distinct metastatic-related subtypes were identified and verified;matrix remodeling associated 5(MXRA5),as a promising diagnostic and therapeutic target,was investigated in vivo and in vitro.Results:We identified five stable metastasis-related signatures(renin,integrin subunit beta-like 1,MXRA5,mesenchyme homeobox 2,and anoctamin 3)from multicenter cohorts.Additionally,we verified the specificity and sensibility of these signatures in external and out-house cohorts,which displayed a satisfactory consistency.According to these metastatic signatures,patients were grouped into two distinct and heterogeneous ccRCC subtypes named metastatic cancer subtype 1(MTCS1)and type 2(MTCS2).MTCS2 exhibited poorer clinical outcomes and metastatic tendencies than MTCS1.In addition,MTCS2 showed higher immune cell infiltration and immune signature expression but a lower response rate to immune blockade therapy than MTCS1.The MTCS2 subgroup was more sensitive to saracatinib,sunitinib,and several molecular targeted drugs.In addition,MTCS2 displayed a higher genome mutation burden and instability.Furthermore,we constructed a prognosis model based on subtype biomarkers,which performed well in training and validation cohorts.Finally,MXRA5,as a promising biomarker,significantly suppressed malignant ability,including the cell migration and proliferation of ccRCC cell lines in vitro and in vivo.Conclusions:This study identified five robust metastatic signatures and proposed two metastatic probability clusters with stratified prognoses,multiomics landscapes,and treatment options.The current work not only provided new insight into the heterogeneity of renal cancer but also shed light on optimizing decision‐making in immunotherapy and chemotherapy. | Aimin Jiang Qingyang Pang Xinxin Gan Anbang Wang Zhenjie Wu Bing Liu Peng Luo Le Qu Linhui Wang | 2022 | Cancer Innovation2022，1，2： | 0 |
| 9 | Influence and characteristic of shading on photovoltaic performance of bifacial modules and method for estimating bifacial gain显示文摘Bifacial PV modules have unique advantages in low-carbon building applications such as BIPV systems but often suffer from the shading problem resulting from higher surrounding objects or building facades.Point-blank quantitative studies of PV performance of bifacial modules operating in actual environments as affected by shading on PV cells are lacking due to the difficulties of analysis caused by the existing multiple variable factors.By constructing an experimental comparison system on a flat roof of a building,we experimentally tested and analyzed the comparative variation characteristics of PV performance of bifacial and mono-facial modules under different shading area fractions.The results show that from the viewpoint of photoelectric efficiency,the PV performance of both bifacial and mono-facial PV modules clearly varied with the shading fraction of PV cell in some linear rules,though it is difficult to find regularity from the perspective of output power which was also affected by dynamic solar radiation intensity.An abnormal phenomenon emerged that the photoelectric efficiencies of the bifacial modules with small shading fraction were higher compared to the case without shading.Based on the findings of the experimental results,a regression approximation method based on shading test results(RAST Method)is further proposed to analyze and calculate the bifacial gain of bifacial modules.In the case of the existing roof installation,the mean bifacial gains of the two bifacial modules with different inclination angles were 8.86%and 11.30%,respectively. | Chenglong Luo Yuandan Wu Xiaoxiao Su Wu Zou Yanshun Yu Qingyang Jiang Lijie Xu | 2023 | Building Simulation2023，16，10： | 0 |
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