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| 1 | Prevalence of Autism Spectrum Disorder in China:A Nationwide Multi-center Population-based Study Among Children Aged 6 to 12 Years显示文摘This study aimed to obtain the first national estimate of the prevalence of autism spectrum disorder(ASD) in Chinese children.We targeted the population of 6 to 12-year-old children for this prevalence study by multistage convenient cluster sampling.The Modified Chinese Autism Spectrum Rating Scale was used for the screening process.Of the target population of 142,086 children,88.5%(n=125,806) participated in the study.A total of 363 children were confirmed as having ASD.The observed ASD prevalence rate was 0.29%(95% CI:0.26%-0.32%) for the overall population.After adjustment for response rates,the estimated number of ASD cases was867 in the target population sample,thereby achieving an estimated prevalence of 0.70%(95% CI:0.64%-0.74%).The prevalence was significantly higher in boys than in girls(0.95%;95% CI:0.87%-1.02% versus 0.30%;95%CI:0.26%-0.34%;P <0.001).Of the 363 confirmed ASD cases,43.3% were newly diagnosed,and most of those(90.4%) were attending regular schools,and 68.8% of the children with ASD had at least one neuropsychiatric comorbidity.Our findings provide reliable data on the estimated ASD prevalence and comorbidities in Chinese children. | Hao Zhou Xiu Xu Weili Yan Xiaobing Zou Lijie Wu Xuerong Luo Tingyu Li Yi Huang Hongyan Guan Xiang Chen Meng Mao Kun Xia Lan Zhang Erzhen Li Xiaoling Ge Lili Zhang Chunpei Li Xudong Zhang Yuanfeng Zhou Ding Ding Andy Shih Eric Fombonne Yi Zheng Jisheng Han Zhongsheng Sun Yong-hui Jiang Yi Wang LATENT-NHC Study Team | 2020 | Neuroscience Bulletin2020，36，9： | 158 |
| 2 | Broadband mid-infrared molecular spectroscopy based on passive coherent optical–optical modulated frequency combs显示文摘Mid-infrared dual-comb spectroscopy is of great interest owing to the strong spectroscopic features of trace gases,biological molecules,and solid matter with higher resolution,accuracy,and acquisition speed. However,the prerequisite of achieving high coherence of optical sources with the use of bulk sophisticated control systems prevents their widespread use in field applications. Here we generate a highly mutually coherent dual midinfrared comb spectrometer based on the optical–optical modulation of a continuous-wave (CW) interband or quantum cascade laser. Mutual coherence was passively achieved without post-data processes or active carrier envelope phase-locking processes. The center wavelength of the generated mid-infrared frequency combs can be flexibly tuned by adjusting the wavelength of the CW seeds. The parallel detection of multiple molecular species,including C_(2)H_(2),CH_(4),H_(2)CO,H_(2)S,COS,and H_(2)O,was achieved. This technique provides a stable and robust dual-comb spectrometer that will find nonlaboratory applications including open-path atmospheric gas sensing,industrial process monitoring,and combustion. | ZHONG ZUO CHENGLIN GU DAOWANG PENG XING ZOU YUANFENG DI LIAN ZHOU DAPING LUO YANG LIU WENXUE LI | 2021 | Photonics Research2021，9，7： | 3 |
| 3 | A nonlocal gradient concentration method for image smoothing显示文摘It is challenging to consistently smooth natural images, yet smoothing results determine the quality of a broad range of applications in computer vision. To achieve consistent smoothing, we propose a novel optimization model making use of the redundancy of natural images, by defining a nonlocal concentration regularization term on the gradient. This nonlocal constraint is carefully combined with a gradientsparsity constraint, allowing details throughout the whole image to be removed automatically in a datadriven manner. As variations in gradient between similar patches can be suppressed effectively, the new model has excellent edge preserving, detail removal,and visual consistency properties. Comparisons with state-of-the-art smoothing methods demonstrate the effectiveness of the new method. Several applications,including edge manipulation, image abstraction,detail magnification, and image resizing, show the applicability of the new method. | Qian Liu Caiming Zhang Qiang Guo Yuanfeng Zhou | 2015 | Computational Visual Media2015，1，3： | 2 |
| 4 | Multi-scale joint feature network for micro-expression recognition显示文摘Micro-expression recognition is a substantive cross-study of psychology and computer science,and it has a wide range of applications(e.g.,psychological and clinical diagnosis,emotional analysis,criminal investigation,etc.).However,the subtle and diverse changes in facial muscles make it difficult for existing methods to extract effective features,which limits the improvement of micro-expression recognition accuracy.Therefore,we propose a multi-scale joint feature network based on optical flow images for micro-expression recognition.First,we generate an optical flow image that reflects subtle facial motion information.The optical flow image is then fed into the multi-scale joint network for feature extraction and classification.The proposed joint feature module(JFM)integrates features from different layers,which is beneficial for the capture of micro-expression features with different amplitudes.To improve the recognition ability of the model,we also adopt a strategy for fusing the feature prediction results of the three JFMs with the backbone network.Our experimental results show that our method is superior to state-of-the-art methods on three benchmark datasets(SMIC,CASME II,and SAMM)and a combined dataset(3 DB). | Xinyu Li Guangshun Wei Jie Wang Yuanfeng Zhou | 2021 | Computational Visual Media2021，7，3： | 2 |
| 5 | microRNA-133b downregulation and inhibition of cell proliferation, migrationand invasion by targeting matrix metallopeptidase?9 in renal cell carcinoma显示文摘 | Deyao Wu Huixing Pan Yunfeng Zhou Jian Zhou Yuanfeng Fan Ping Qu | 2014 | Molecular Medicine Reports2014，，6： | 2 |
| 6 | Evaluation of risk factors for extrahepatic cholangiocarcinoma: ABO blood group, hepatitis B virus and their synergism显示文摘 | Yu Zhou Quanbo Zhou Qing Lin Ruiwan Chen Yuanfeng Gong Yimin Liu Min Yu Bing Zeng Kaiwen Li Rufu Chen Zhihua Li | 2013 | Int J Cancer2013，，8： | 1 |
| 7 | The ketogenic diet for paediatric patients with super-refractory status epilepticus in febrile infection-related epilepsy syndrome显示文摘Objective:To investigate the effect and safety of ketogenic diet(KD)for the treatment of paediatric patients with super-refractory status epilepticus(SRSE)in febrile infection-related epilepsy syndrome(FIRES).Method:From January 1,2015 to October 31,2017,ten critically ill paediatric patients with SRSE in FIRES were included in this study and treated with KD.The treatment effects of KD were evaluated by using continuous encephalography(CEEG)and amplitude-integrated electro-encephalography(aEEG).Results:All 10 patients fulfilled the diagnostic criteria of SRSE in FIRES and achieved ketosis within 24–72 h following the administration of KD.CEEG and aEEG were monitored for several weeks to assess the efficacy of KD on status epilepticus(SE).SE was contained in 8 patients within 2 to 19 days after initiation of KD,and KD was discontinued in the other 2 patients.One of the 10 patients demonstrated severe adverse effects.Conclusion:KD may be an alternative and safe treatment option in critical paediatric patients with SRSE in FIRES. | Xinhua Wang Xuan Gao Guoping Lu Zhongying Lu Shuizhen Zhou Yi Wang Yuanfeng Zhou | 2020 | Acta Epileptologica2020，2，1： | 1 |
| 8 | Evaluation of risk factors for extrahepatic cholangiocarcinoma: ABO blood group, hepatitis B virus and their synergism显示文摘 | Yu Zhou Quanbo Zhou Qing Lin Ruiwan Chen Yuanfeng Gong Yimin Liu Min Yu Bing Zeng Kaiwen Li Rufu Chen Zhihua Li | 2013 | Int. J. Cancer2013，，8： | 1 |
| 9 | Adaptive image decomposition method based on credible data fitting with local total variation显示文摘In this paper we present a novel image decomposition method via credible data fitting with local total variation filter. The oscillation rate is used to measure the image complexity and characteristics. The filter parameter can be determined by a fitting curve which is reconstructed by oscillation rate. In addition, the approximate Gaussian algorithm and integral image are used to reduce the algorithm computation and the sensitivity of the filter window selection. Experiments show the new method is better than the existing methods. | CHEN Ya GUO Qiang ZHOU Yuanfeng LI Xuemei ZHANG Caiming | 2012 | Computer Aided Drafting,Design and Manufacturing2012，22，4： | 1 |
| 10 | Facile generation of highly durable thiol-functionalized polyhedral oligomeric silsesquioxane based superhydrophobic melamine foam显示文摘In this study,a durable superhydrophobic/superoleophilic melamine foam was fabricated by a facile and rapid one-step thiol-ene click chemistry and Michael addition reaction,which demonstrated excellent robustness in oil/water separation.First,1H,1H,2H-perfluoro-1-hexene reacted with thiol-functionalized polyhedral oligomeric silsesquioxane via the thiol-ene click chemistry to obtain a fluorinated thiol-functionalized polyhedral oligomeric silsesquioxane solution.Subsequently,the melamine foam was immersed to the solution system to form nanoaggregates on the melamine foam surface by the Michael addition reaction in the presence of ultraviolet light.The micro/nano rough structure and low surface energy of the nanoaggregates layer endowed the pristine melamine foam with superhydrophobicity;the water contact angle was greater than 150°.More importantly,the as-prepared melamine foam could withstand harsh conditions,such as a corrosive solution environment,strong ultraviolet light,mechanical compression,high and low temperature exposure,and ultrasonic washing.Driven by gravity,the as-prepared melamine foam could efficiently separate the oil/water mixtures and maintain 98%separation efficiency at high and low temperatures.In addition,it maintained the desirable absorption capability in different oil/organic solvents even after 15 absorption cycles.Accordingly,this facile,low-cost,and robust onestep method provides important support for the superhydrophobic oil/water separation field. | Meng Li Yuanfeng Fang Chun Liu Mengmeng Zhou Xiaomei Miao Yongbing Pei Yue Yan Wenjun Xiao Huayu Qiu Lianbin Wu | 2022 | Frontiers of Chemical Science and Engineering2022，16，8： | 0 |
| 11 | Density-controlled Delaunay triangulation for 2D sea area显示文摘Triangulation is widely used in scientific research,such as finite element mesh generation,surface reconstruction and the reconstruction of the density field data.This paper proposes a new method combining image processing and density-controlled Centroidal Voronoi tessellations to quickly generate a density-controlled constrained Delaunay triangulation for 2D sea area.Firstly,preprocess digital images of the sea area and extract the boundary of seawater region by eight-neighbor searching algorithm.Then,I use 'Odd-Even Testing' method to check if one random vertex is inside the boundary and insert random vertices into the boundary.Finally,we get the CDT of random vertices by density-controlled CVT-Lloyd method.We also give some comparisons with existing methods,and our method performs better in final result of triangulation. | Xu Mingze Liu Zhe Ma Long Liu Yuchen Zhou Yuanfeng | 2016 | Computer Aided Drafting,Design and Manufacturing2016，26，1： | 0 |
| 12 | Study on TLC Differentiation for Chaige Changyuan Mixture显示文摘[Objectives]This study was conducted to establish TLC methods for Scutellariae Radix,Peucedani Radix and Puerariae Radix in Chaige Changyuan Mixture.[Methods]The preparation methods of test solutions,the development conditions,the color development inspection method and other factors were investigated for thin-layer chromatography.The three main medicines of Scutellariae Radix,Peucedani Radix and Puerariae Radix were qualitatively identified.[Results]The TLC spots of Scutellariae Radix,Peucedani Radix and Puerariae Radix could be identified well by TLC,and corresponding negative control had no interference.[Conclusions]The method is simple,available and reproducible,and can be used for the quality control of Chaige Changyuan Mixture. | Yuanfeng YANG Yuchuan LI Yunxia HAN Xunrong ZHOU | 2022 | Agricultural Biotechnology2022，11，4： | 0 |
| 13 | Antitumor activity of aumolertinib, a third-generation EGFR tyrosine kinase inhibitor, in non-small-cell lung cancer harboring uncommon EGFR mutations显示文摘Uncommon epidermal growth factor receptor(EGFR) mutations account for 10% 20% of all EGFR mutations in non-small-cell lung cancer(NSCLC). The uncommon EGFR-mutated NSCLC is associated with poor clinical outcomes and generally achieved unsatisfactory effects to the current therapies using standard EGFR-tyrosine kinase inhibitors(TKIs), including afatinib and osimertinib. Therefore, it is necessary to develop more novel EGFR-TKIs to treat uncommon EGFR-mutated NSCLC.Aumolertinib is a third-generation EGFR-TKI approved in China for treating advanced NSCLC with common EGFR mutations. However, it remains unclear whether aumolertinib is effective in uncommon EGFR-mutated NSCLC. In this work, the in vitro anticancer activity of aumolertinib was investigated in engineered Ba/F3 cells and patient-derived cells bearing diverse uncommon EGFR mutations. Aumolertinib was shown to be more potent in inhibiting the viability of various uncommon EGFR-mutated cell lines than those with wild-type EGFR. And in vivo, aumolertinib could also significantly inhibit tumor growth in two mouse allograft models(V769-D770insASV and L861Q mutations) and a patientderived xenografts model(H773-V774insNPH mutation). Importantly, aumolertinib exerts responses against tumors in advanced NSCLC patients with uncommon EGFR mutations. These results suggest that aumolertinib has the potential as a promising therapeutic candidate for the treatment of uncommon EGFR-mutated NSCLC. | Chen Shi Cong Zhang Zhiwen Fu Jinmei Liu Yuanfeng Zhou Bao Cheng Cong Wang Shijun Li Yu Zhang | 2023 | Acta Pharmaceutica Sinica B2023，13，6： | 0 |
| 14 | Dynamic covalent nano-networks comprising antibiotics and polyphenols orchestrate bacterial drug resistance reversal and inflammation alleviation显示文摘New antimicrobial strategies are urgently needed to meet the challenges posed by the emergence of drug-resistant bacteria and bacterial biofilms.This work reports the facile synthesis of antimicrobial dynamic covalent nano-networks(aDCNs)composing antibiotics bearing multiple primary amines,polyphenols,and a cross-linker acylphenylboronic acid.Mechanistically,the iminoboronate bond drives the formation of aDCNs,facilitates their stability,and renders them highly responsive to stimuli,such as low pH and high H2O2 levels.Besides,the representative A1B1C1 networks,composed of polymyxin B1(A1),2-formylphenylboronic acid(B1),and quercetin(C1),inhibit biofilm formation of drug-resistant Escherichia coli,eliminate the mature biofilms,alleviate macrophage inflammation,and minimize the side effects of free polymyxins.Excellent bacterial eradication and inflammation amelioration efficiency of A1B1C1 networks are also observed in a peritoneal infection model.The facile synthesis,excellent antimicrobial performance,and biocompatibility of these aDCNs potentiate them as a much-needed alternative in current antimicrobial pipelines. | Yuanfeng Li Yin-Zi Piao Hua Chen Keqing Shi Juqin Dai Siran Wang Tieli Zhou Anh-Tuan Le Yaran Wang Fan Wu Rujiang Ma Linqi Shi Yong Liu | 2023 | Bioactive Materials2023，，9： | 0 |
| 15 | P-band center theory guided activation of MoS_(2) basal S sites for pHuniversal hydrogen evolution显示文摘The edge S sites of thermodynamically stable 2H MoS_(2)are active for hydrogen evolution reaction(HER)but the active sites are scarce.Despite the dominance of the basal S sites,they are generally inert to HER because of the low p-band center.Herein,we reported a synergistic combination of phase engineering and NH_(4)^(+) intercalation to promote the HER performance of MoS_(2).The rational combination of 1T and 2H phases raises the p-band center of the basal S sites while the intercalated NH4+ions further optimize and stabilize the electronic band of these sites.The S sites with regulated band structures afford moderate hydrogen adsorption,thus contributing to excellent HER performance over a wide pH range.In an acid medium,this catalyst exhibits a low overpotential of 169 mV at 10 mA·cm^(−2)and Tafel slope of 39 mV·dec^(−1)with robust stability,superior to most of recently reported MoS_(2)-based non-noble catalysts.The combined use of in/ex-situ characterizations ravels that the appearance of more unpaired electrons at the Mo 4d-orbital reduces the d-band center which upshifts the p-band center of the adjacent S for essentially improved HER performance.This work provides guidelines for the future development of layered transition-metal-dichalcogenide catalysts. | Chao Meng Yuanfeng Gao Yue Zhou Kang Sun Yanmin Wang Ye Han Qianqian Zhao Xuemin Chen Han Hu Mingbo Wu | 2023 | Nano Research2023，16，5： | 0 |
| 16 | Scale-adaptive superpixels for medical images显示文摘Background:Superpixel segmentation is a powerful preprocessing tool to reduce the complexity of image processing.Traditionally,size uniformity is one of the significant features of superpixels.However,in medical images,in which subjects scale varies greatly and background areas are often flat,size uniformity rarely conforms to the varying content.To obtain the fewest superpixels with retaining important details,the size of superpixel should be chosen carefully.Methods:We propose a scale-adaptive superpixel algorithm relaxing the size-uniformity criterion for medical images,especially pathological images.A new path-based distance measure and superpixel region growing schema allow our algorithm to generate superpixels with different scales according to the complexity of image content,that is smaller(larger)superpixels in color-riching areas(flat areas).Results:The proposed superpixel algorithm can generate superpixels with boundary adherence,insensitive to noise,and with extremely big sizes and extremely small sizes on one image.The number of superpixels is much smaller than size-uniformly superpixel algorithms while retaining more details of images.Conclusion:With the proposed algorithm,the choice of superpixel size is automatic,which frees the user from the predicament of setting suitable superpixel size for a given application.The results on the nuclear dataset show that the proposed superpixel algorithm superior to the respective state-of-the-art algorithms on both quantitative and quantitative comparisons. | Limin Sun Dongyang Ma Yuanfeng Zhou | 2022 | Quantitative Biology2022，10，3： | 0 |
| 17 | Image smoothing based on global sparsity decomposition and a variable parameter显示文摘Smoothing images,especially with rich texture,is an important problem in computer vision.Obtaining an ideal result is difficult due to complexity,irregularity,and anisotropicity of the texture.Besides,some properties are shared by the texture and the structure in an image.It is a hard compromise to retain structure and simultaneously remove texture.To create an ideal algorithm for image smoothing,we face three problems.For images with rich textures,the smoothing effect should be enhanced.We should overcome inconsistency of smoothing results in different parts of the image.It is necessary to create a method to evaluate the smoothing effect.We apply texture pre-removal based on global sparse decomposition with a variable smoothing parameter to solve the first two problems.A parametric surface constructed by an improved Bessel method is used to determine the smoothing parameter.Three evaluation measures:edge integrity rate,texture removal rate,and gradient value distribution are proposed to cope with the third problem.We use the alternating direction method of multipliers to complete the whole algorithm and obtain the results.Experiments show that our algorithm is better than existing algorithms both visually and quantitatively.We also demonstrate our method’s ability in other applications such as clip-art compression artifact removal and content-aware image manipulation. | Xiang Ma Xuemei Li Yuanfeng Zhou Caiming Zhang | 2021 | Computational Visual Media2021，7，4： | 0 |
| 18 | A Research Review of Superpixels Generation Algorithms显示文摘Superpixels generation is becoming increasingly popular as a preprocessing in many computer vision applications.A superpixel is an image patch which has uniform pixels intensity and is aligned with intensity edges.Superpixels provide a convenient primitive from which local image features can be computed.So far,there are many methods to generate superpixels.Several main superpixels generation algorithms are summarized in this paper and the advantages and disadvantages of them are analyzed simply.In the end,some applications of superpixels are listed. | PAN Xiao LI Yun-liang ZHOU Yuanfeng | 2014 | Computer Aided Drafting,Design and Manufacturing2014，24，1： | 0 |
| 19 | Constructing self-supporting surfaces with planar quadrilateral elements显示文摘We present a simple yet effective method for constructing 3D self-supporting surfaces with planar quadrilateral(PQ)elements.Starting with a triangular discretization of a self-supporting surface,we firstcompute the principal curvatures and directions of each triangular face using a new discrete differential geometryapproach,yielding more accurate results than existing methods.Then,we smooth the principal direction field to reduce the number of singularities.Next,we partition all faces into two groups in terms of principalcurvature difference.For each face with small curvature difference,we compute a stretch matrix that turns the principal directions into a pair of conjugate directions.For the remaining triangular faces,we simply keep their smoothed principal directions.Finally,applying a mixed-integer programming solver to the mixed principal and conjugate direction field,we obtain a planar quadrilateral mesh.Experimental results show that our method is computationally efficient and can yield high-quality PQ meshes that well approximate the geometry of the input surfaces and maintain their self-supporting properties. | Long Ma Sidan Yao Jianmin Zheng Yang Liu Yuanfeng Zhou Shi-Qing Xin Ying He | 2022 | Computational Visual Media2022，8，4： | 0 |
| 20 | Image zooming via surface fitting based on edge constraint显示文摘In this paper we present a new image zooming algorithm based on surface fitting with edge constraint.In surface fitting,we consider not only the relationship of corresponding pixels between the original image and the enlarged image,but also the neighbor pixels in the enlarged image according to the local structure of original image.Furthermore,during surface fitting,more interpolation constraints are used in the new algorithm for improving the precision of the super sampling pixels.The experimental results show that the new method outperforms the previous methods which based on surface fitting. | GUO Yingying ZHANG Caiming LI Weitao ZHOU Yuanfeng WANG Min | 2013 | Computer Aided Drafting,Design and Manufacturing2013，23，1： | 0 |
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