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| 1 | Design,methodology,and baseline of whole city‑million scale children and adolescents myopia survey(CAMS)in Wenzhou,China显示文摘Background:Myopia is the most common visual impairment in children and adolescents worldwide.This study described an economical and effective population-based screening pipeline and performed the project of a million scale children and adolescents myopia survey(CAMS),which will shed light on the further study of myopia from the level of epidemiology and precision medicine.Methods:We developed a novel population-based screening pattern,an intelligent screening process and internetbased information transmission and analysis system to carry out the survey consisting of school children in Wenzhou,China.The examination items include unaided distance visual acuity,presenting distance visual acuity,and noncycloplegic autorefraction.Myopia and high myopia were defined as spherical equivalent(SE)≤−1.00 diopters(D)and SE≤−6.00 D,respectively.Next,the reports of the vision checking were automatically sent to parents and the related departments.The CAMS project will be done two to four times annually with the support of the government.An online eyesight status information management system(OESIMS)was developed to construct comprehensive and efficient electronic vision health records(EVHRs)for myopia information inquiry,risk pre-warning,and further study.Results:The CAMS completed the first-round of screening within 30 days for 99.41%of Wenzhou students from districts and counties,in June 2019.A total of 1,060,925 participants were eligible for CAMS and 1,054,251(99.37%participation rate)were selected through data quality control,which comprised 1305 schools,and 580,609,251,050 and 170,967 elementary,middle,and high school students.The mean age of participants was 12.21±3.32 years(6-20 years),the female-to-male ratio was 0.82.The prevalence of myopia in elementary,middle,and high school students was 38.16%,77.52%,and 84.00%,respectively,and the high myopia incidence was 0.95%,6.90%,and 12.98%.Conclusions:The CAMS standardized myopia screening model involves automating large-scale information collection,data transmission,data analysis and early warning,thereby supporting myopia prevention and control.The entire survey reduced 90%of staff,cost,and time consumption compared with previous surveys.This will provide new insights for decision support for public health intervention. | Liangde Xu Youyuan Zhuang Guosi Zhang Yunlong Ma Jian Yuan Changseng Tu MiaoMiao Li Wencan Wang Yaru Zhang Xiaoyan Lu Jing Li Xinting Liu Zhengbo Xue Meng Zhou Jie Sun Jinhua Bao Ming Li Fan Lu Hong Wang Jianzhong Su Jia Qu | 2021 | Eye and Vision2021，8，1： | 7 |
| 2 | Clinical diagnosis and treatment of alpha-fetoprotein-negative small hepatic lesions显示文摘Objective: We examined 103 cases over the last five years and discussed diagnosis and treatment of alpha- fetoprotein (AFP)-negative small hepatic lesions. Background: Small hepatic lesions (less than 2 cm in diameter) usually have no typical imaging characteristics and therefore are difficult to diagnose, especially when AFP tests provide a negative result. Methods: A total of 103 patients with AFP-negative small hepatic lesions from January 2003 to December 2008 were retrospectively reviewed. Differential diagnosis was performed by digital subtraction angiography (DSA), dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), contrast-enhanced ultrasound (CEUS), or positron emission tomography-computed tomography (PET-CT) based on the multiplicity of lesions. Ninety-four patients with suspected cancers underwent partial hepatectomy. Clinical data were collected from hospital records and follow-up questionnaires. Results: Hepatocellular carcinoma (HCC) diagnostic sensitivity of DSA, DCE-MRI, CEUS and PET-CT was 88.2%, 93.9%, 88.9% and 88.9%, respectively. The surgery-related complication rate was 6.4%. Prognosis was good, with 1- and 3-year survival rates of 98.8% and 76.1%, respectively. Conclusions: DSA, DCE-MRI, CEUS and PET-CT are valuable for diagnosis of small hepatic lesions. Partial hepatectomy is a preferred surgical procedure. Surgery for small liver cancers usually has little risk and good prognosis, therefore it can be actively applied in suspected HCC cases. | Yiyao Xu Xin Lu Yilei Mao Xinting Sang Haitao Zhao Shunda Du Haifeng Xu Yongliang Sun Huayu Yang Tianyi Chi Zhiying Yang Shouxian Zhong Jiefu Huang | 2013 | Chinese Journal of Cancer Research2013，25，4： | 6 |
| 3 | Feed intake prediction model for group fish using the MEA-BP neural network in intensive aquaculture显示文摘In aquaculture,the accurate prediction of feed intake for group fish is considered to be crucial to any feeding system.Previous studies mainly used mathematical statistics to establish the mapping relationship between feed intake and influencing factors.The result was easily influenced by subjective experience.To solve the above issues,this paper proposed a feed intake prediction model for group fish using the back-propagation neural network(BPNN)and mind evolutionary algorithm(MEA).Firstly,four factors,including water temperature,dissolved oxygen,the average fish weight and the number of fish were selected as the input of the BPNN model.Secondly,the initial weight and threshold of the BPNN were optimized by the MEA to improve the matching precision.Finally,the prediction model was achieved after training.Experimental results showed that the correlation coefficient between the predicted and measured values reached 0.96.And the root mean squared error,mean square error,mean absolute error,mean absolute percent error of the model was 6.89,47.53,6.17 and 0.04,respectively.In addition,the proposed method also had the better nonlinear fitting ability than BPNN and GA-BP.By using an intelligent optimization algorithm,the mapping relationship between fish intake and environmental factors was automatically established,thus avoiding the subjectivity of traditional methods.Therefore,it can lay a theoretical foundation for the development of intelligent feeding equipment and meet the needs of the smart fishery. | Lan Chen Xinting Yang Chuanheng Sun Yizhong Wang Daming Xu Chao Zhou | 2020 | Information Processing in Agriculture2020，7，2： | 5 |
| 4 | Electro-acupuncture at Zusanli(ST 36) to improve lower extremity motor function in sensory disturbance patients with cerebral stroke A randomized controlled study of 240 cases显示文摘BACKGROUND:Studies have shown that sensory transduction is a way to introduce needle sensation. OBJECTIVE:To observe the influence of electro-acupuncture at the'Zusanli'(ST 36) point on lower extremity motor function in various sensory disturbance patients with cerebral stroke. DESIGN,TIME AND SETTING:A randomized,controlled,clinical study was performed at the Department of Neurological Rehabilitation,China Rehabilitation Research Centre from September 2006 to June 2008. PARTICIPANTS:Patients with first-time cerebral infarction or hemorrhage,or with a stroke history, but no neurodysfunction(single damage),were selected for this study.The subjects were right-handed and disease state was stable.A total of 240 inpatients were randomly assigned to the following groups:electro-acupuncture(n= 124) and control(n= 116).The two groups were further assigned into sub-groups:no sensory disturbance,superficial sensory disturbance,deep sensory disturbance,and deep and superficial sensory disturbance. METHODS:On the basis of routine limb function training,the acupoint Zusanli was utilized in all patients from the electro-acupuncture group.Perpendicular acupuncture was 3.0-4.0 cm deep.An electric acupuncture instrument was connected when patients developed the needle sensation,deqi. A stimulation pattern consisting of distant and dense waves of 50 Hz was used to elicit slight dorsal foot extension.Acupuncture was administered 5 times per week,30 minutes per session,for 6 weeks in total. MAIN OUTCOME MEASURES:Fugl-Meyer assessment(FMA) was used to evaluate lower extremity motor function;Ver.1.0 gait analysis to estimate gait(step frequency,step speed,and step scope);lower extremity Composite Spasticity Scale(CSS) to estimate muscle spastic degree. RESULTS:Following treatment,motor function improved in both groups.Compared with the control group,FMA score,step speed,step frequency,and step scope were increased in the electro-acupuncture group,but there was no difference in lower extremity CSS scores between the electro-acupuncture and the control groups(P>0.05).Compared with the control group,Zusanli (ST 36) electro-acupuncture improved motor function indices as follows:FMA score,step frequency, step speed,and step scope of patients with no sensory disturbance(P<0.05-0.01),step frequency of patients with superficial sensory disturbance(P<0.05),and step frequency and step speed of patients with deep sensory disturbance(P<0.05). CONCLUSION:Zusanli(ST 36) electro-acupuncture effects on lower extremity motor function in stroke patients were improved with no muscle tone rise.Therefore,this form of treatment can be used in convalescent treatment.Moreover,effects were different according to various sensory disturbance types,which suggested that sensory input influenced acupuncture effects. | Weijun Gong Tong Zhang Lihua Cui YuqiYang Xinting Sun | 2009 | Neural Regeneration Research2009，4，11： | 3 |
| 5 | Fingerprint Liveness Detection from Different Fingerprint Materials Using Convolutional Neural Network and Principal Component Analysis显示文摘Fingerprint-spoofing attack often occurs when imposters gain access illegally by using artificial fingerprints,which are made of common fingerprint materials,such as silicon,latex,etc.Thus,to protect our privacy,many fingerprint liveness detection methods are put forward to discriminate fake or true fingerprint.Current work on liveness detection for fingerprint images is focused on the construction of complex handcrafted features,but these methods normally destroy or lose spatial information between pixels.Different from existing methods,convolutional neural network(CNN)can generate high-level semantic representations by learning and concatenating low-level edge and shape features from a large amount of labeled data.Thus,CNN is explored to solve the above problem and discriminate true fingerprints from fake ones in this paper.To reduce the redundant information and extract the most distinct features,ROI and PCA operations are performed for learned features of convolutional layer or pooling layer.After that,the extracted features are fed into SVM classifier.Experimental results based on the LivDet(2013)and the LivDet(2011)datasets,which are captured by using different fingerprint materials,indicate that the classification performance of our proposed method is both efficient and convenient compared with the other previous methods. | Chengsheng Yuan Xinting Li Q.M.Jonathan Wu Jin Li Xingming Sun | 2017 | Computers, Materials & Continua2017，，4： | 3 |
| 6 | Method for segmentation of overlapping fish images in aquaculture显示文摘Individual fish segmentation is a prerequisite for feature extraction and object identification in any machine vision system.In this paper,a method for segmentation of overlapping fish images in aquaculture was proposed.First,the shape factor was used to determine whether an overlap exists in the picture.Then,the corner points were extracted using the curvature scale space algorithm,and the skeleton obtained by the improved Zhang-Suen thinning algorithm.Finally,intersecting points were obtained,and the overlapped region was segmented.The results show that the average error rate and average segmentation efficiency of this method was 10%and 90%,respectively.Compared with the traditional watershed method,the separation point is accurate,and the segmentation accuracy is high.Thus,the proposed method achieves better performance in segmentation accuracy and effectiveness.This method can be applied to multi-target segmentation and fish behavior analysis systems,and it can effectively improve recognition precision. | Chao Zhou Kai Lin Daming Xu Jintao Liu Song Zhang Chuanheng Sun Xinting Yang | 2019 | International Journal of Agricultural and Biological Engineering2019，12，6： | 1 |
| 7 | Efficacy and safety of subsequent radiotherapy in patients with advanced-stage hepatocellular carcinoma treated with immune checkpoint inhibitors显示文摘Background:The development of immunotherapy resistance is associated with a poor prognosis in patients diagnosed with hepatocellular carcinoma(HCC)who are undergoing treatment with immune checkpoint inhibitors(ICI).This study aimed to evaluate the efficacy and safety of subsequent radiotherapy(RT)for patients with advanced-stage HCC who had lesion enlargement or new lesions(NLs)during ICI therapy.Methods:This retrospective observational study enrolled 36 patients with advanced-stage HCC who underwent subsequent RT for lesion enlargement or NLs during ICI therapy from two centers.The primary endpoints were progression-free survival(PFS)and overall survival(OS).The secondary endpoints included objective response rate(ORR),disease control rate(DCR),1-and 2-year local control(LC)rates,in-field PFS(IFPFS),out-field PFS(OFPFS),and safety.Results:The median follow-up time was 15.3 months.The median PFS was 7.4 months[95%confidence interval(CI):3.1-11.7 months],and the median OS was 18.8 months(95%CI:17.1-20.5 months).ORR and DCR were 38.9%and 72.2%,respectively.In addition,the median IFPFS was 17.8 months(95%CI:11.5-24.2 months),median OFPFS was 7.9 months(95%CI:3.4-12.5 months),and estimated 1-and 2-year LC rates were 67.1%and 31.9%,respectively.The most common treatment-related adverse events(all grades)were diarrhea(33.3%),rash(30.6%),and malaise(27.8%);a total of 14(38.9%)patients developed grade 3-4 AEs.Conclusions:Subsequent RT showed reliable antitumor effects and an acceptable safety profile in patients with advanced-stage HCC who had unsatisfactory response to ICI therapy;therefore,it could serve as an optional salvage strategy. | Cong Ning Jun Jia Xinmu Zhang Jing Sun Yunchao Wang Jingnan Xue Longhao Zhang Xiaorong Hou Xiaobo Yang Xinting Sang Xuezhang Duan Haitao Zhao | 2023 | Hepatobiliary Surgery and Nutrition2023，12，6： | 0 |
| 8 | Targeting metabolic vulnerability in mitochondria conquers MEK inhibitor resistance in KRAS-mutant lung cancer显示文摘MEK is a canonical effector of mutant KRAS;however,MEK inhibitors fail to yield satisfactory clinical outcomes in KRAS-mutant cancers.Here,we identified mitochondrial oxidative phosphorylation(OXPHOS)induction as a profound metabolic alteration to confer KRAS-mutant non-small cell lung cancer(NSCLC)resistance to the clinical MEK inhibitor trametinib.Metabolic flux analysis demonstrated that pyruvate metabolism and fatty acid oxidation were markedly enhanced and coordinately powered the OXPHOS system in resistant cells after trametinib treatment,satisfying their energy demand and protecting them from apoptosis.As molecular events in this process,the pyruvate dehydrogenase complex(PDHc)and carnitine palmitoyl transferase IA(CPTIA),two rate-limiting enzymes that control the metabolic flux of pyruvate and palmitic acid to mitochondrial respiration were activated through phosphorylation and transcriptional regulation.Importantly,the co-administration of trametinib and IACS-010759,a clinical mitochondrial complex I inhibitor that blocks OXPHOS,significantly impeded tumor growth and prolonged mouse survival.Overall,our findings reveal that MEK inhibitor therapy creates a metabolic vulnerability in the mitochondria and further develop an effective combinatorial strategy to circumvent MEK inhibitors resistance in KRAS-driven NSCLC. | Juanjuan Feng Zhengke Lian Xinting Xia Yue Lu Kewen Hu Yunpeng Zhang Yanan Liu Longmiao Hu Kun Yuan Zhenliang Sun Xiufeng Pang | 2023 | Acta Pharmaceutica Sinica B2023，13，3： | 0 |
| 9 | Neuronal activation by acupuncture at Yongquan(KI1) and sham acupoints in patients with disorder of consciousness: a positron emission tomography study显示文摘Disorder of consciousness(DOC)is one of the most serious sequelae of brain injury,and is challenging for neurologists and rehabilitation specialists to manage because of its refractory nature(Whyte et al.,2013).Acupuncture is a traditional Chinese medicine technique that is often used | Hao Zhang Xinting Sun Sujuan Liu Yingmao Chen Feng Ling | 2014 | Neural Regeneration Research2014，9，5： | 0 |
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