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| 1 | Molecular tagging techniques and their applications to the study of complex thermal flow phenomena1,211显示文摘This review article reports the recent progress in the development of a new group of molecule-based flow diagnostic techniques, which include molecular taggingvelocimetry(MTV)andmoleculartaggingthermometry(MTT), for both qualitative flow visualization of thermally induced flow structures and quantitative whole-fiel measurementsofflowvelocityandtemperaturedistributions.The MTV and MTT techniques can also be easily combined to result in a so-called molecular tagging velocimetry and thermometry(MTV&T) technique, which is capble of achieving simultaneousmeasurementsofflowvelocityandtemperature distribution in flui flows. Instead of using tiny particles, the molecular tagging techniques(MTV, MTT, and MTV&T)use phosphorescent molecules, which can be turned into long-lasting glowing marks upon excitation by photons of appropriate wavelength, as the tracers for the flow velocity and temperature measurements. The unique attraction and implementation of the molecular tagging techniques are demonstrated by three application examples, which include:(1) to quantify the unsteady heat transfer process from a heatedcylindertothesurroundingflui flowinordertoexamine the thermal effects on the wake instabilities behind the heated cylinder operating in mixed and forced heat convection regimes,(2) to reveal the time evolution of unsteady heat transfer and phase changing process inside micro-sized, icing water droplets in order to elucidate the underlying physics pertinent to aircraft icing phenomena, and(3) to achievesimultaneousdropletsize,velocityandtemperaturemeasurements of 'in-flight droplets to characterize the dynamic and thermodynamic behaviors of flyin droplets in spray flows. | Fang Chen Haixing Li Hui Hu | 2015 | Acta Mechanica Sinica2015，31，4： | 5 |
| 2 | Quantum software framework: a tentative study显示文摘 | Nan WU Haixing HU Fangmin SONG Huimin ZHENG Xiangdong LI | 2013 | Frontiers of Computer Science2013，7，3： | 2 |
| 3 | Distribution,fractionation,and contamination assessment of heavy metals in offshore surface sediments from western Xiamen Bay,China显示文摘Surface sediment samples were collected at 21 offshore sites in western Xiamen Bay, Southeast China.Total concentrations of Li, V, Cr, Co, Ni, Cu, Zn, Sr, Mn,Pb, Ba, Fe, and Ti were determined by inductively coupled plasma-optical emission spectrometry; Hg was determined by atomic fluorescence spectrometry. A modified BCR sequential extraction procedure was used to extract fractions of the above elements. Concentrations of Pb, Cr, and Hg at most sites met the primary standard criteria of Marine Sediment Quality except site S12 for Pb and S7 for Cr, while concentrations of Zn at 17 sites and Cu at seven sites exceeded the criteria. The mean concentration of Hg was three times higher than the background, with a possible source being the Jiulong River. Fe, Ti, Ba, Co, V, and Li dominated the residual phase, mainly from terrestrial input.Ni, Cr, Pb, and Hg in the non-residual phase varied largely between sites. Sr, Mn, Cu, and Zn were mainly in the nonresidual fraction. Most sites showed considerable ecological risk; exceptions were site S7(very high) and sites S10,S11, and S14(moderate). Cu showed moderate-to-high pollution and Pb exhibited no-to-low pollution, while other metals had a non-pollution status according to their ratios of secondary phase to primary phase(RSP). Results of two assessment methods showed moderate pollution and a veryhigh ecological risk for Cu, Zn, Ni, and Cr at site S7, which might be due to the local sewage treatment plant. | Qiuli Yang Gongren Hu Ruilian Yu Haixing He Chengqi Lin | 2016 | Acta Geochimica2016，35，4： | 2 |
| 4 | Solid-liquid-core optical fiber biosensor for highly sensitive and selective detection of 4-chlorophenol in water显示文摘A novel solid-liquid-core fiber-optic biosensor was fabricated for highly sensitive and selective detection of 4-chlorophenol in water.The sensor comprised horseradish peroxidase(HRP)-coated U-shaped liquidcore optical fiber(LCOF)and 4-chlorophenol permselective polymer membrane.The U-shaped LCOF was flled with ethanol suspension of SiO_(2)particles and the polymer membrane was composed of molecularly imprinted polymer,sulfonated polyethersulfone,and polysulfone.The morphology,composition,and surface luminous properties of the sensing region were examined.The effects of the diameter and content of SiO_(2)particles and temperature of 4-chlorophenol solutions on the sensitivity of the biosensors were investigated.Further,the sensitivity,selectivity,response time,and limit of detection(LOD)of the biosensors was investigated.In addition,the effects of fiber core materials on the light transmission in sensing region were investigated and a biosensor sensing model was established.The proposed sensor exhibited high selectivity for 4-chlorophenol with satisfactory sensitivity,LOD,and response time:-1.18(μg/L)^(-1),30μg/L,and 400 s,respectively.The results are expected to aid in the development of methods for enhancing sensitivity of fiber-optic sensors and surface luminous intensity of optical fibers. | Cangxu Feng Jianwei Zhang Chao Bian Linyang Li Rong Hu Haixing Chang Fei Peng Xiaofeng Peng Nianbing Zhong | 2023 | Chinese Chemical Letters2023，34，12： | 1 |
| 5 | Artificial intelligence empowering research on loneliness, depression and anxiety-Using Covid-19 as an opportunity显示文摘The COVID-19 pandemic has had a profound impact on public mental health,leading to a surge in loneliness,depression,and anxiety.And these public psychological issues increasingly become a factor affecting social order.As researchers explore ways to address these issues,artificial intelligence(AI)has emerged as a powerful tool for understanding and supporting mental health.In this paper,we provide a thorough literature review on the emotions(EMO)of loneliness,depression,and anxiety(EMO-LDA)before and during the COVID-19 pandemic.Additionally,we evaluate the application of AI in EMO-LDA research from 2018 to 2023(AI-LDA)using Latent Dirichlet Allocation(LDA)topic modeling.Our analysis reveals a significant increase in the proportion of literature on EMO-LDA and AI-LDA before and during the COVID-19 pandemic.We also observe changes in research hotspots and trends in both field.Moreover,our results suggest that the collaborative research of EMO-LDA and AI-LDA is a promising direction for future research.In conclusion,our review highlights the urgent need for effective interventions to address the mental health challenges posed by the COVID-19 pandemic.Our findings suggest that the integration of AI in EMO-LDA research has the potential to provide new insights and solutions to support individuals facing loneliness,depression,and anxiety.And we hope that our study will inspire further research in this vital and revelant domin. | Qijian Zheng Feng Liu Shuya Xu Jingyi Hu Haixing Lu Tingting Liu | 2023 | Journal of Safety Science and Resilience2023，4，4： | 0 |
| 6 | A new generation M^(pro)inhibitor with potent activity against SARS-CoV-2 Omicron variants显示文摘Emerging SARS-CoV-2 variants, particularly the Omicron variant and its sublineages, continually threaten the global public health.Small molecule antivirals are an effective treatment strategy to fight against the virus. However, the first-generation antivirals eithershow limited clinical efficacy and/or have some defects in pharmacokinetic (PK) properties. Moreover, with increased use of thesedrugs across the globe, they face great pressure of drug resistance. We herein present the discovery and characterization of a newgeneration antiviral drug candidate (SY110), which is a potent and selective inhibitor of SARS-CoV-2 main protease (Mpro). Thiscompound displayed potent in vitro antiviral activity against not only the predominant SARS-CoV-2 Omicron sublineage BA.5, butalso other highly pathogenic human coronaviruses including SARS-CoV-1 and MERS-CoV. In the Omicron-infected K18-hACE2mouse model, oral treatment with SY110 significantly lowered the viral burdens in lung and alleviated the virus-induced pathology.Importantly, SY110 possesses favorable PK properties with high oral drug exposure and oral bioavailability, and also an outstandingsafety profile. Furthermore, SY110 exhibited sensitivity to several drug-resistance Mpro mutations. Collectively, this investigationprovides a promising new drug candidate against Omicron and other variants of SARS-CoV-2. | Chong Huang Huiping Shuai Jingxin Qiao Yuxin Hou Rui Zeng Anjie Xia Lingwan Xie Zhen Fang Yueyue Li Chaemin Yoon Qiao Huang Bingjie Hu Jing You Baoxue Quan Xiu Zhao Nihong Guo Shiyu Zhang Ronggang Ma Jiahao Zhang Yifei Wang Ruicheng Yang Shanshan Zhang Jinshan Nan Haixing Xu Falu Wang Jian Lei Hin Chu Shengyong Yang | 2023 | Signal Transduction and Targeted Therapy2023，8，4： | 0 |
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