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| 1 | Using an image segmentation and support vector machine method for identifying two locust species and instars显示文摘Locusts are agricultural pests around the world. To cognize how locust distribution density and community structure are related to the hydrothermal and vegetation growth conditions of their habitats and thereby providing rapid and accurate warning of locust invasions, it is important to develop efficient and accurate techniques for acquiring locust information. In this paper, by analyzing the differences between the morphological features of Locusta migratoria manilensis and Oedaleus decorus asiaticus, we proposed a semi-automatic locust species and instar information detection model based on locust image segmentation, locust feature variable extraction and support vector machine(SVM) classification. And we subsequently examined its applicability and accuracy based on sample image data acquired in the field. Locust image segmentation experiment showed that the proposed GrabCut-based interactive segmentation method can be used to rapidly extract images of various locust body parts and exhibits excellent operability. In a locust feature variable extraction experiment, the textural, color and morphological features of various locust body parts were calculated. Based on the results, eight feature variables were selected to identify locust species and instars using outlier detection, variable function calculation and principal component analysis. An SVM-based locust classification experiment achieved a semi-automatic detection accuracy of 96.16% when a polynomial kernel function with a penalty factor parameter c of 2 040 and a gamma parameter g of 0.5 was used. The proposed detection model exhibits advantages such as high applicability and accuracy when it is used to identify locust instars of L. migratoria manilensis and O. decorus asiaticus, and it can also be used to identify other species of locusts. | Shuhan LU YE Si-jing | 2020 | Journal of Integrative Agriculture2020，19，5： | 3 |
| 2 | Spatial and Temporal Evolution Characteristics of PM2.5 in China from 1998 to 2016显示文摘The rapid development of China’s economy and urbanization has given rise to noticeable environmental problems,among which the change of air quality has received extensive attention.The panel data of PM2.5(particles with an aerodynamic diameter of 2.5μm or less)in 343 prefecture-level cities in China from 1998 to 2016 were statistically analyzed to reveal the characteristics of the temporal evolution and spatial variation of China’s air quality in the past two decades.The results show that:1)the overall deterioration trend of air quality is obvious throughout the country.The variation trend of PM2.5 was divided into three phases:rapid-growth phase(1998–2007),lag phase(2006–2011)and mildly-incremental phase(2012–2016),with their average growth rates of 7.19%,-3.59%and 0.52%,respectively.2)The spatial difference of PM2.5 values in China increased significantly with time.Since 2003,the high-value area in the east has expanded rapidly,and polarization became much more pronounced.The change rate of PM2.5 is high in the east and west and low in the middle.The change rates of most areas in the west exceed more than 80%,and in the east lie somewhere between 40%and 60%.In the midlands,the change rate is not large and some regions even show a negative growth.3)The change rate of PM2.5 is also high in areas with higher values.However,in regions where the change rate of PM2.5 is high,the value of PM2.5 is not always high.The high change rate is mainly attributable to the low base value of PM2.5 and the cities concerned belong to sensitive areas.4)According to the PM2.5 warning index,the number of strong,medium,weak and non-warning areas in China is 45,85,159 and 54,respectively. | LI Hua TONG Helong WU Xianhua LU Xiaoli MENG Shuhan | 2020 | Chinese Geographical Science2020，30，6： | 2 |
| 3 | A Novel Electric Dual Motor Transmission for Heavy Commercial Vehicles显示文摘As a vital vehicle part,the powertrain system is undergoing a fast transition towards electrification.The new integrated electric drive system has been widely used,especially for passenger cars.In this work,a novel electric dual motor transmission is proposed for heavy commercial vehicles.The transmission scheme is firstly introduced,which can achieve 9 different operating modes including 5 single motor modes and 4 dual motor modes.Then,the mode shift map with minimum energy consumption is designed based on the motor efficiency map and the proposed energy management strategy.The driving power is appropriately distributed between the two motors in dual motor modes under the condition of minimum power consumption.In addition,a coordinated control strategy is developed for mode shift control without power interruption.The results show that the electric dual motor transmission has advantages in power consumption and power shift ability compared with the conventional single motor automated manual transmission. | Xiangyang Xu Jiajia Liang Qingjun Hao Peng Dong Shuhan Wang Wei Guo Yanfang Liu Zhonghua Lu Jiantao Geng Bin Yan | 2021 | Automotive Innovation2021，4，1： | 2 |
| 4 | FeeNeC single atom nanozymes with dual enzyme-mimicking activities for colorimetric detection of hydrogen peroxide and glutathione显示文摘H_(2)O_(2) and glutathione(GSH)are critical redox molecules in the organism.Abnormal levels of cellular H_(2)O_(2) and GSH are closely related to some diseases.Thus,it is imperative to detect H_(2)O_(2) and GSH effi-ciently.In this work,FeeNeC single atom nanozymes(SANs)with both peroxidase and oxidasemimicking activities were successfully prepared with the help of formamide condensation by one-step hydrothermal method.The FeeNeC SANs show excellent peroxidase-like activity,which possess a higher affinity for H_(2)O_(2) and 3,30,5,50-tetramethylbenzidine(TMB)than horseradish peroxidase(HRP).Then,based on the chromogenic reaction of TMB,a colorimetric biosensor to detect H_(2)O_(2) and GSH was developed.This biosensor has the linear ranges of 10-600 mmol/L for H_(2)O_(2) with a low detection limit of 4.360 mmol/L and 100-400 mmol/L for GSH with a low detection limit of 78.33 mmol/L.Besides,this colorimetric biosensor exhibited a good recovery of H_(2)O_(2) and GSH in diluted human serum.Finally,the FeeNeC SANs were encapsulated into agar gel to self-quantitatively detect GSH by naked eyes.This work provides a non-pyrolytic way to prepare SANs,which broadens the synthetic method of SANs and may promote the development of SANs for biosensor application. | Wei Lu Shuhan Chen Haifeng Zhang Jiajun Qiu Xuanyong Liu | 2022 | Journal of Materiomics2022，8，6： | 2 |
| 5 | Application of clutch to clutch gear shift technology for a new automatic transmission显示文摘 | LU Xi WANG Shuhan LIU Yanfang | 2012 | Journal of Center South University2012，19，10： | 1 |
| 6 | Assessment of respiratory support decision and the outcome of invasive mechanical ventilation in severe COVID-19 with ARDS显示文摘Background:The coronavirus disease 2019(COVID-19)is an ongoing pandemic.Invasive mechanical ventilation(IMV)is essential for the management of COVID-19 with acute respiratory distress syndrome(ARDS).We aimed to assess the impact of compliance with a respiratory decision support system on the outcomes of patients with COVID-19-associated ARDS who required IMV.Methods:In this retrospective,single-center,case series study,patients with COVID-19-associated ARDS who required IMV at Zhongnan Hospital of Wuhan University,China,from January 8th,2020,to March 24th,2020,with the final follow-up date of April 20th,2020,were included.Demographic,clinical,laboratory,imaging,and management information were collected and analyzed.Compliance with the respiratory support decision system was documented,and its relationship with 28-day mortality was evaluated.Results:The study included 46 COVID-19-associated ARDS patients who required IMV.The median age of the 46 patients was 68.5 years,and 31 were men.The partial pressure of arterial oxygen(PaO_(2))/fraction of inspired oxygen(FiO_(2))ratio at intensive care unit(ICU)admission was 104 mmHg.The median total length of IMV was 12.0(interquartile range[IQR]:6.0–27.3)days,and the median respiratory support decision score was 11.0(IQR:7.8–16.0).To 28 days after ICU admission,18(39.1%)patients died.Survivors had a significantly higher respiratory support decision score than non-survivors(15.0[10.3–17.0]vs.8.5(6.0–10.3),P=0.001).Using receiver operating characteristic(ROC)curve to assess the discrimination of respiratory support decision score to 28-day mortality,the area under the curve(AUC)was 0.796(95%confidence interval[CI]:0.657–0.934,P=0.001)and the cut-offwas 11.5(sensitivity=0.679,specificity=0.889).Patients with a higher score(>11.5)were more likely to survive at 28 days after ICU admission(log-rank test,P<0.001).Conclusions:For severe COVID-19-associated ARDS with IMV,following the respiratory support decision and assessing completion would improve the progress of ventilation.With a decision score of>11.5,the mortality at 28 days after ICU admission showed an obvious decrease. | Shuhan Cai Fangfang Zhu Hongtao Hu Hui Xiang Dawei Wang Jing Wang Lu Li Xiao Yang Aihua Qin Xin Rao Yun Luo Jianguo Li Kianoush B.Kashani Bo Hu Zhiyong Peng | 2022 | Journal of Intensive Medicine2022，2，2： | 1 |
| 7 | Application of clutch to clutch gear shift technology for a new automatic transmission 显示文摘 | Lu Xi Wang Shuhan Liu Yanfang | 2012 | Journal of Central South University2012，19，： | 1 |
| 8 | Gold Nanoparticle Enantiomers and Their Chiral-Morphology Dependence of Cellular Uptake显示文摘Chiral molecules are widely prevalent in nature and biological systems,and artificial chiral nanoparticles have drawn enormous interest owing to their unique optical and physical properties.However,nanoparticles with chiral morphologies and their potential role in biology have been rarely explored.Herein,we report a seed-mediated synthesis of enantiomorphic Au nanooctopods(NOPs)and their chiralmorphology dependence of cellular uptake.With a high yield(∼80%),the chiral NOPs possess eight uniform arms that bend from<111>to<100>directions,like a propeller structure.The chiral NOPs synthesized with L-or D-glutathione(GSH)have opposite handedness,resulting in opposite circular dichroism signals,which is consistent with finite-difference time-domain simulations.D-GSH NOPs demonstrate greater than 30%(ca.15%)enhanced cellular uptake in GL261 and bEnd.3 cells compared with L-GSH NOPs(racemic NOPs).Moreover,D-GSH NOPs modified with poly(ethylene glycol)or L-GSH are also preferred by the cells,proving the chiral-morphology dependence of cellular uptake.Our study develops the exploration of the chiral-specific interaction in biological systems,providing potential applications for drug delivery,biosensing,and tumor detection. | Ning-Ning Zhang Hao-Ran Sun Shuhan Liu Yu-Chen Xing Jun Lu Fei Peng Cheng-Long Han Zhonglin Wei Tianmeng Sun Bai Yang Kun Liu | 2022 | CCS Chemistry2022，4，2： | 1 |
| 9 | Novel tracking method for the drinking behavior trajectory of pigs显示文摘Identifying and tracking the drinking behavior of pigs is of great significance for welfare feeding and piggery management. Research on pigs’ drinking behavior not only needs to indicate whether the snout is in contact with the water fountain, but it also needs to establish whether the pig is drinking water and for how long. To solve target loss and identification errors, a novel method for tracking the drinking behavior of pigs based on L-K Pyramid Optical Flow (L-K OPT), Kernelized Correlation Filters (KCF), and DeepLabCut (DLC) was proposed. First, the feature model of the drinking behavior of a sow was established by L-K OPT. In addition, the water flow vector was used to determine whether the animal drank water and to demonstrate the details of the movements. Then, on the basis of the improved KCF, the relocation model of the sow’s snout was established to resolve the problem of tracking loss in the snout. Finally, the tracking model of piglets’ drinking behavior was established by DLC to build the mapping association between the pig’s snout and the drinking fountain. By using 200 episodes of drinking water videos (30-60 s each) to verify the method proposed in this study, the results are explained that 1) according to the two important drinking water indexes, the Down (−135°, −45°) direction feature and the V2 (>10 pixels) speed feature, the drinking time could be accurate to the frame level, with an error within 30 frames;2) The overlapping precision (OP) was 95%, the center location error (CLE) was 3 pixels, and the speed was 300 fps, which were all superior to other traditional algorithms;3) The optimal learning rate was 0.005, and the loss value was 0.0 002. The method proposed in this study realized accurate and automatic monitoring of the drinking behavior of pigs, which could provide reference for other animal behavior monitoring. | Chengqi Liu Haijian Ye Longhe Wang Shuhan Lu Lin Li | 2023 | International Journal of Agricultural and Biological Engineering2023，16，6： | 0 |
| 10 | Deep advantage learning for optimal dynamic treatment regime显示文摘Recently deep learning has successfully achieved state-of-the-art performance on many difficulttasks. Deep neural networks allow for model flexibility and process features without the needof domain knowledge. Advantage learning (A-learning) is a popular method in dynamic treatment regime (DTR). It models the advantage function, which is of direct relevance to optimaltreatment decision. No assumptions on baseline function are made. However, there is a paucityof literature on deep A-learning. In this paper, we present a deep A-learning approach to estimate optimal DTR. We use an inverse probability weighting method to estimate the differencebetween potential outcomes. Parameter sharing of convolutional neural networks (CNN) greatlyreduces the amount of parameters in neural networks, which allows for high scalability. Convexified convolutional neural networks (CCNN) relax the constraints of CNN for optimisation purpose.Different architectures of CNN and CCNN are implemented for contrast function estimation.Both simulation results and application to the STAR*D (Sequenced Treatment Alternatives toRelieve Depression) trial indicate that the proposed methods outperform penalised least squareestimator. | Shuhan Liang Wenbin Lu Rui Song | 2018 | Statistical Theory and Related Fields2018，2，1： | 0 |
| 11 | Unveiling non-radiative center control in CsPbBr_(3) nanocrystals:A comprehensive comparative analysis of hot injection and ligandassisted reprecipitation approaches显示文摘Metal-halide perovskite nanocrystals(NCs)have gained significant attention in the field of optoelectronic and photonic devices due to their promising applications.Despite their exceptional optical properties,the impact of different synthetic strategies on the fundamental nature of NCs,such as nonradiative recombination centers,remains poorly understood.In this study,we investigated the photophysical properties of CsPbBr_(3) NCs synthesized using two distinct methods,hot injection and ligand-assisted reprecipitation,at the individual particle level.We observed different blinking behaviors under specific photoexcitation power densities and proposed,through intensity-lifetime analysis and Monte-Carlo simulations,that these different synthetic strategies can fabricate NCs with similar crystal structures but distinct surface quenchers with varying energy levels,which significantly affected the photo-induced blinking-down and blinking-up behaviors in individual NCs.Our findings indicate a practical and feasible approach for controlling defect engineering in perovskite NCs,with significant implications for their use in optoelectronic and other technological applications. | Daocheng Hong Yuchen Zhang Shuhan Pan Hanyu Liu Wei Mao Wanli Zhang Yuhui Ye Zhihong Wei Xuxing Lu Xiaoyong Wang Zhenda Lu Yuxi Tian | 2024 | Nano Research2024，17，5： | 0 |
| 12 | Chemical simulation teaching system based on virtual reality and gesture interaction显示文摘Background Most existing chemical experiment teaching systems lack solid immersive experiences,making it difficult to engage students.To address these challenges,we propose a chemical simulation teaching system based on virtual reality and gesture interaction.Methods The parameters of the models were obtained through actual investigation,whereby Blender and 3DS MAX were used to model and import these parameters into a physics engine.By establishing an interface for the physics engine,gesture interaction hardware,and virtual reality(VR)helmet,a highly realistic chemical experiment environment was created.Using code script logic,particle systems,as well as other systems,chemical phenomena were simulated.Furthermore,we created an online teaching platform using streaming media and databases to address the problems of distance teaching.Results The proposed system was evaluated against two mainstream products in the market.In the experiments,the proposed system outperformed the other products in terms of fidelity and practicality.Conclusions The proposed system which offers realistic simulations and practicability,can help improve the high school chemistry experimental education. | Dengzhen LU Hengyi LI Boyu QIU Siyuan LIU Shuhan QI | 2024 | 虚拟现实与智能硬件(中英文)2024，6，2： | 0 |
| 13 | Dynamic reconstruction of Ni-Zn alloy solid-electrolyte interface for highly stable Zn anode显示文摘Aqueous zinc ion batteries(AZIBs)are ideal candidates for large-scale battery storage,with a high theoretical specific capacity,ecological friendliness,and extremely low cost but are strongly hindered by zinc dendrite growth.Herein,Ni-Zn alloy is artificially constructed as a solid-electrolyte interface(SEI)for Zn anodes by electrodeposition and annealing.The Ni-Zn alloy layer acts as a dynamic shield at the electrode/electrolyte interface.Interestingly,the zinc atoms migrate out of the electrode body during zinc stripping while merging into the electrode body during the plating.In this way,the Ni-Zn alloy is able to guide the zinc deposition in the horizontal direction,thereby suppressing the formation of dendrite.Benefiting from those,the Ni-Zn alloy symmetric cell shows a greatly improved cycle life and is able to operate stably for 1,900 h at a current density of 0.5 mA·cm^(−2).The present study is a strategy for negative electrode protection of AZIBs. | Qian Zhang Yuhang Dai Kangning Zhao Chengyi Zhang Ruihu Lu Jinghao Li Shuhan Jin Lei Zhang Qinyou An Liqiang Mai | 2023 | Nano Research2023，16，9： | 0 |
| 14 | Physiological and molecular responses of invasive cyanobacterium Raphidiopsis raciborskii to ambient phosphorus deficiency显示文摘Raphidiopsis raciborskii can cause harmful cyanobacterial blooms when concentrations of environme ntal pho sphorus(P)are very low,thus the physiological and molecular mechanisms involved in the acclimation to P need to be characterized better.The growth,chlorophyll fluorescence,alkaline phosphatase,and expression of genes directly involved in P assimilation were compared in the R.raciborskii FACHB1496 strain grown with and without inorganic P.The specific growth rate(μ),Chl a,and six fluorescence parameters(minimal fluorescence(F),maximal fluorescence(F),maximal variable fluorescence(F),electron transport flux(further than QA)per RC(ET/RC),quantum yield of the electron transport in PSⅡ(?),and the probability that an electron from a trapped exciton is moved into the electron transport chain beyond Q~-(Ψ))markedly decreased in R.raciborskii in response to experimental P-deficiency.In contrast,the relative variable fluorescence at the J-step(V),trapped energy flux(leading to QA reduction)per RC(TR/RC),and alkaline phosphatase activity significantly increased.In addition,gene expressions involved in the alkaline phosphatase(phoAl and phoA2),high-affinity inorganic P transporter(pstSl),phosphonate transporter and metabolism(phnD and phnM),and nucleotidase(nucH)were significantly upregulated under P deficiency.However,physiological and molecular responses were resumed rapidly after P re-supplementation following P-deficient conditions.Our results highlight that R.raciborskii can perform coordinated and complex cellular and physiological responses to cope with P deficiency,reflecting R.raciborskii’s multi-faceted machinery to respond to environmental P fluctuations. | Junqiong SHI Shuhan HE Lu ZHAO Lulu JI Songqi YANG Zhongxing WU | 2022 | Journal of Oceanology and Limnology2022，40，5： | 0 |
| 15 | Dihydrocelastrol induces antitumor activity and enhances the sensitivity of bortezomib in resistant multiple myeloma by inhibiting STAT3-dependent PSMB5 regulation显示文摘Multiple myeloma(MM)is characterized by excessive aggregation of B-cell-derived malignant plasma cells in the hematopoietic system of bone marrow.Previously,we synthesized an innovative molecule named dihydrocelastrol(DHCE)from celastrol,a triterpene purified from medicinal plant Tripterygium wilfordii.Herein,we explore the therapeutic properties and latent signal transduction mechanism of DHCE action in bortezomib(BTZ)-resistant(BTZ-R)MM cells.In this study,we first report that DHCE shows antitumor activities in vitro and in vivo and exerts stronger inhibitory effects than celastrol on BTZ-R cells.We find that DHCE inhibits BTZ-R cell viability by promoting apoptosis via extrinsic and intrinsic pathways and suppresses BTZ-R MM cell proliferation by inducing G0/G1 phase cell cycle arrest.In addition,inactivation of JAK2/STAT3 and PI3K/Akt pathways are involved in the DHCE-mediated antitumor effect.Simultaneously,DHCE acts synergistically with BTZ on BTZ-R cells.PSMB5,a molecular target of BTZ,is overexpressed in BTZ-R MM cells compared with BTZ-S MM cells and is demonstrated to be a target of STAT3.Moreover,DHCE downregulates PSMB5 overexpression in BTZ-R MM cells,which illustrates that DHCE overcomes BTZ resistance through increasing the sensitivity of BTZ in resistant MM via inhibiting STAT3-dependent PSMB5 regulation.Overall,our findings imply that DHCE may become a potential therapeutic option that warrants clinical evaluation for BTZ-R MM. | Shuhan Jin Bo Li Bibo Zhang Xuejie Gao Xinyan Jia Li Xu Shuaikang Chang Ke Hu Guanli Wang Zhijian Xu Ting Zhang Dongliang Song Guang Yang Xiaosong Wu Huabin Zhu Cheng Huang Yumeng Lu Jumei Shi Weiliang Zhu Gege Chen | 2023 | Acta Biochimica et Biophysica Sinica2023，55，12： | 0 |
| 16 | Skeleton extraction and pose estimation of piglets using ZS-DLC-PAF显示文摘The accurate identification of various postures in the daily life of piglets that are directly reflected by their skeleton morphology is necessary to study the behavioral characteristics of pigs.Accordingly,this study proposed a novel approach for the skeleton extraction and pose estimation of piglets.First,an improved Zhang-Suen(ZS)thinning algorithm based on morphology was used to establish the chain code mechanism of the burr and the redundant information deletion templates to achieve a single-pixel width extraction of pig skeletons.Then,body nodes were extracted on the basis of the improved DeepLabCut(DLC)algorithm,and a part affinity field(PAF)was added to realize the connection of body nodes,and consequently,construct a database of pig behavior and postures.Finally,a support vector machine was used for pose matching to recognize the main behavior of piglets.In this study,14000 images of piglets with different types of behavior were used in posture recognition experiments.Results showed that the improved algorithm based on ZS-DLC-PAF achieved the best thinning rate compared with those of distance transformation,medial axis transformation,morphology refinement,and the traditional ZS algorithm.The node tracking accuracy reached 85.08%,and the pressure test could accurately detect up to 35 nodes of 5 pigs.The average accuracy of posture matching was 89.60%.This study not only realized the single-pixel extraction of piglets’skeletons but also the connection among the different behavior body nodes of individual sows and multiple piglets.Furthermore,this study established a database of pig posture behavior,which provides a reference for studying animal behavior identification and classification and anomaly detection. | Chengqi Liu Haijian Ye Shuhan Lu Zhan Tang Zhao Bai Lei Diao Longhe Wang Lin Li | 2023 | International Journal of Agricultural and Biological Engineering2023，16，3： | 0 |
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