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Pancreatic primitive neuroectodermal tumors:Clinical features,treatment,and influencing factors

World Journal of Gastrointestinal Oncology 2025年第2期17卷 230-245页

作者： Yan-Fei He huan-zhi wang Xiao-Dong Hu Jun-Qiang Liu Hu-Ming Li Jie wang Shuang-Feng Lu Health Management Center The Sixth Medical CenterChinese PLA General HospitalBeijing 100048China College of Atmospheric Sciences Lanzhou UniversityLanzhou 730000Gansu ProvinceChina Department of Endocrinology The Sixth Medical CenterChinese PLA General HospitalBeijing 100048China Department of Thoracic Surgery The Sixth Medical CenterChinese PLA General HospitalBeijing 100048China Department of Respiratory Medicine The Sixth Medical CenterChinese PLA General HospitalBeijing 100048China

BACKGROUND Data on clinical characteristics,treatment outcomes,and prognosis of pancreatic primitive neuroectodermal tumors(PNETs)are *** To analyze the clinical data of 30 patients with pancreatic PNETs to identify their clinical characteristics and factors associated with *** We used the keywords"primary neuroectodermal tumor,""digestive tract,""pancreas,""pancreatic,"and"gastrointestinal,"individually or in combination,to collect data from a global database for all patients with pancreatic PNET to *** and Cox regression analyses were performed to identify prognostic factors for patient *** A total of 30 cases of pancreatic PNET were included in this study:15 males and 15 females with a mean age of 24 *** main symptom was abdominal pain(73.3%),and the median tumor size was 7.85 ***-four patients(80.0%)underwent surgery and nineteen patients received adjuvant *** metastasis was observed in 13 patients(43.3%),lymph node metastasis in 10 patients(33.3%),and distant metastasis in 6 patients(20.0%).Local recurrence was observed in 13 patients(43.3%).The median survival time of all patients was 29.4 months,and the overall estimated 1-year and 3-year survival rates were approximately 66.0%and 36.4%,*** analysis showed that chemotherapy(P=0.036),local metastasis(P=0.041),lymph node metastasis(P=0.003),distant metastasis(P=0.049),and surgical margins(P=0.048)were the prognostic factors affecting *** analysis revealed only lymph node metastasis(P=0.012)as a prognostic *** Pancreatic PNET is extremely rare,occurs in young adults,has no apparent sex predisposition,has a high rate of metastasis and early recurrence,and has a very poor *** diagnosis of pancreatic PNET requires a combination of clinical symptoms,pathologic features,immunohistochemistry,and cytogenetic *** analysis suggested that chemotherapy,metastasis,and surgical ma

关键词： Primitive neuroectodermal tumor Pancreas Sarcoma Diagnosis Prognosis Treatment

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Enhancing the Performance of JADE Using Two-phase Parameter Control Scheme and Its Application

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International Journal of Automation and computing 2018年第4期15卷 462-473页

作者： Qin-Qin Fan Yi-Lian Zhang Xue-Feng Yan zhi-huan wang Logistics Research Center Shanghai Maritime UniversityShanghai 201306China Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai 200237China Key Laboratory of Marine Technology and Control Engineering Ministry of Communications Shanghai Maritime UniversityShanghai 201306China

The search efficiency of differential evolution （DE） algorithm is greatly impacted by its control parameters. Although many adaptation/self-adaptation techniques can automatically find suitable control parameters for the DE, most techniques are based on pop- ulation information which may be misleading in solving complex optimization problems. Therefore, a self-adaptive DE （i.e., JADE） using two-phase parameter control scheme （TPC-JADE） is proposed to enhance the performance of DE in the current study. In the TPC-JADE, an adaptation technique is utilized to generate the control parameters in the early population evolution, and a well-known empirical guideline is used to update the control parameters in the later evolution stages. The TPC-JADE is compared with four state-of-the-art DE variants on two famous test suites （i.e., IEEE CEC2005 and IEEE CEC2015）. Results indicate that the overall performance of the TPC-JADE is better than that of the other compared algorithms. In addition, the proposed algorithm is utilized to obtain optimal nutrient and inducer feeding for the Lee-Ramirez bioreactor. Experimental results show that the TPC-JADE can perform well on an actual dynamic optimization problem.

关键词： Differential evolution(DE)algorithm evolutionary computation dynamic optimization control parameter adaptation chemical processes.

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Determination of triazine herbicide residues in water samples by on-line sweeping concentration in micellar electrokinetic chromatography

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Chinese Chemical Letters 2008年第12期19卷 1487-1490页

作者： Shuai Hua Zhang Yuan Yuan Yang Dan Dan Han Chun wang Xin Zhou Xiao huan Zang zhi wang Key Laboratory of Bioinorganic Chemistry College of Sciences Agricultural University of Hebei Baoding 071001 China

A new method for the determination of atrazine, simazine and prometryn in water samples by on-line sweeping concentration technique in micellar electrokinetic chromatography （MEKC） was developed. Various parameters affecting sample enrichment and separation efficiency were systematically studied. Compared with the conventional MEKC method, up to 60-200-fold improvement in concentration sensitivity was achieved in terms of peak height by using this sweeping injection technique. The compound strychnine was used as the internal standard for the improvement of the experimental reproducibility. The limits of detection （S/ N = 3：1） for atrazine, simazine and prometryn were 9, 10 and 0.5 ng mL-1, respectively. This method has been successfully applied to the analysis of atrazine, simazine and prometryn in lake, steam and ground water.

关键词： Triazine herbicides On-line concentration MEKC Sweeping Water samples

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Research Progress of Vagal Nerve Regulation Mechanism in Acupuncture Treatment of Atrial Fibrillation

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CHINESE JOURNAL OF INTEGRATIVE MEDICINE 2025年第3期31卷 281-288页

作者： Cao, Lu-lu Liu, Hui-rong Ji, Ya-jie Zhang, Yin-tao wang, Bing-quan Xue, Xiao-hong wang, Pei Luo, zhi-hui Wu, huan-gan Shanghai Res Inst Acupuncture & Meridian Immunol Lab Shanghai 200232 Peoples R China Shanghai Univ Tradit Chinese Med Yueyang Hosp Integrated Tradit Chinese & Western M Breast Dis Dept Shanghai 200437 Peoples R China Tianjin Univ Tradit Chinese Med Grad Coll Tianjin 301617 Peoples R China Shanghai Sixth Peoples Hosp Dept Acupuncture & Moxibus Tuina Traumatol Shanghai 200233 Peoples R China Shanghai Univ Tradit Chinese Med Grad Sch Shanghai 201203 Peoples R China

Atrial fibrillation (AF) is the most common arrhythmia in clinical practice. It has a high prevalence and poor prognosis. The application of antiarrhythmic drugs and even surgery cannot completely treat the disease, and there are many sequelae. AF can be classified into the category of "palpitation" in Chinese medicine according to its symptoms. Acupuncture has a significant effect on AF. The authors find that an important mechanism of acupuncture in AF treatment is to regulate the cardiac vagus nerve. Therefore, this article intends to review the distribution and function of vagus nerve in the heart, the application and the regulatroy effect for the treatment of AF.

关键词： acupuncture vagus nerve autonomic nerve atrial fibrillation review

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Machine learning based damage state identification:A novel perspective on fragility analysis for nuclear power plants considering structural uncertainties

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Earthquake Engineering and Engineering Vibration 2025年第1期24卷 201-222页

作者： Zheng zhi wang Yong Pan Xiaolan Ji Duofa College of Civil Engineering Taiyuan University of TechnologyTaiyuan 030024China Key Lab of Structures Dynamic Behavior and Control(Harbin Institute of Technology) Ministry of EducationHarbin 150090China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of TechnologyHarbin 150090China

Seismic fragility analysis(SFA)is known as an effective probabilistic-based approach used to evaluate seismic *** are various sources of uncertainties associated with this approach.A nuclear power plant(NPP)system is an extremely important infrastructure and contains many structural uncertainties due to construction issues or structural deterioration during *** of structural uncertainties effects is a costly and time-consuming endeavor.A novel approach to SFA for the NPP considering structural uncertainties based on the damage state is proposed and *** results suggest that considering the structural uncertainties is essential in assessing the fragility of the NPP structure,and the impact of structural uncertainties tends to increase with the state of ***,machine learning(ML)is found to be superior in high-precision damage state identification of the NPP for reducing the time of nonlinear time-history analysis(NLTHA)and could be applied in the damage state-based ***,the impact of various sources of uncertainties is investigated through sensitivity *** Sobol and Shapley additive explanations(SHAP)method can be complementary to each other and able to solve the problem of quantifying seismic and structural uncertainties simultaneously and the interaction effect of each parameter.

关键词： seismic fragility analysis damage state structural uncertainties machine learning sensitivity analysis

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Overview of in-situ oxygen production technologies for lunar resources

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 233-255页

作者： Youpeng Xu Sheng Pang Liangwei Cong Guoyu Qian Dong wang Laishi Li Yusheng Wu zhi wang College of Materials Science and Engineering Shenyang University of TechnologyShenyang 110870China CAS Key Laboratory of Green Process and Engineering National Engineering Research Center for Green Recycling of Strategic Metal ResourcesInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China Innovation Academy for Green Manufacture Chinese Academy of SciencesBeijing 100190China School of Chemical Engineering University of Chinese Academy of SciencesBeijing 100049China

The rich resources and unique environment of the Moon make it an ideal location for human expansion and the utilization of extraterrestrial ***,crucial for supporting human life on the Moon,can be extracted from lunar regolith,which is highly rich in oxygen and contains polymetallic *** oxygen and metal extraction can be achieved using existing metallurgical ***,the ample reserves of water ice on the Moon offer another means for oxygen *** paper offers a detailed overview of the leading technologies for achieving oxygen production on the Moon,drawing from an analysis of lunar resources and environmental *** delves into the principles,processes,advantages,and drawbacks of water-ice electrolysis,two-step oxygen production from lunar regolith,and one-step oxygen production from lunar *** two-step methods involve hydrogen reduction,carbothermal reduction,and hydrometallurgy,while the one-step methods encompass fluorination/chlorination,high-temperature decomposition,molten salt electrolysis,and molten regolith electrolysis(MOE).Following a thorough comparison of raw materials,equipment,technology,and economic viability,MOE is identified as the most promising approach for future in-situ oxygen production on the *** the corrosion characteristics of molten lunar regolith at high temperatures,along with the Moon's low-gravity environment,the development of inexpensive and stable inert anodes and electrolysis devices that can easily collect oxygen is critical for promoting MOE technology on the *** review significantly contributes to our understanding of in-situ oxygen production technologies on the Moon and supports upcoming lunar exploration initiatives.

关键词： lunar resources in-situ oxygen production space metallurgy molten lunar regolith electrolysis

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A mitochondria targeting Ir(Ⅲ)complex triggers ferroptosis and autophagy for cancer therapy:A case of aggregation enhanced PDT strategy for metal complexes

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Chinese Chemical Letters 2025年第1期36卷 374-380页

作者： Panpan wang Hongbao Fang Mengmeng wang Guandong Zhang Na Xu Yan Su Hongke Liu zhi Su Jiangsu Collaborative Innovation Center of Biomedical Functional Materials College of Chemistry and Materials ScienceNanjing Normal UniversityNanjing 210023China

Metal complexes hold significant promise in tumor diagnosis and ***,their potential applications in photodynamic therapy(PDT)are hindered by issues such as poor photostability,low yield of reactive oxygen species(ROS),and aggregation-induced ROS *** address these challenges,we present a molecular self-assembly strategy utilizing aggregation-induced emission(AIE)conjugates for metal *** a proof of concept,we synthesized a mitochondrial-targeting cyclometalated Ir(Ⅲ)photosensitizer *** approach significantly enhances the photodynamic effect while mitigating the dark toxicity associated with AIE ***-TPE readily self-assembles into nanoaggregates in aqueous solution,leading to a significant production of ROS upon light *** Ir-TPE triggers multiple modes of death by excessively accumulating ROS in the mitochondria,resulting in mitochondrial DNA *** damage can lead to ferroptosis and autophagy,two forms of cell death that are highly cytotoxic to cancer *** aggregation-enhanced photodynamic effect of Ir-TPE significantly enhances the production of ROS,leading to a more pronounced cytotoxic *** vitro and in vivo experiments demonstrate this aggregation-enhanced PDT approach achieves effective in situ tumor *** study not only addresses the limitations of metal complexes in terms of low ROS production due to aggregation but also highlights the potential of this strategy for enhancing ROS production in PDT.

关键词： Metal complex AIEgens Mitochondria targeting Enhanced photodynamic therapy Anticancer agent

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Design and preparation of a sintered Nd-Y-Fe-B magnet with high magnetic properties via multi-main-phase process and subsequent grain boundary diffusion

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Journal of Rare Earths 2025年第2期43卷 304-311,I0003页

作者： Fugang Chen Suxin Lu Jie wang Yong Zhao Wenqiang Zhao zhi Xu School of Materials Science and Engineering Jiangsu University of Science and TechnologyZhenjiang212100China Baotou Tianshi Rare Earth New Materials Co. Ltd.Baotou014030China Jiangsu Yangzi Xinfu Shipbuilding Co. Ltd.Taixing225453China

A sintered Nd-Y-Fe-B magnet was designed and manufactured by the multi-main-phase *** distributed Y in the magnet decreases the adverse magnetic weakening effect of Y on the *** boundary diffusion process(GBDP)was conducted to further enhance the coercivity of the Nd-Y-Fe-B *** coercivity increases significantly from 884 to 1741 kA/m after GBDP with Pr_(60)Tb_(10)Cu_(30)*** mechanism of the coercivity enhancement is discussed based on the microstructure *** simulation reveals that when the diffused Tb-rich shell thickness is lower than 12 nm the c-plane shell(perpendicular to the c-axis)is much more effective in enhancing the coercivity than the side plane shell(parallel to the c-axis).But when the Tb-rich shell thickness is above12 nm the side plane shell contributes more to the coercivity *** results in this work can help to design and manufacture Nd-Fe-B magnets with low cost and high magnetic properties.

关键词： Rare earths Nd-Fe-B magnets Multi-main-phase process Grain boundary diffusion Micromagnetic simulation

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Multiparameter magnetic resonance imaging-based radiomics model for the prediction of rectal cancer metachronous liver metastasis

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World Journal of Gastrointestinal Oncology 2025年第1期17卷 62-72页

作者： zhi-Da Long Xiao Yu zhi-Xiang Xing Rui wang Department of Hepatobiliary and Pancreaticosplenic Surgery Jingzhou Hospital Affiliated to Yangtze UniversityJingzhou 434100Hubei ProvinceChina

BACKGROUND The liver,as the main target organ for hematogenous metastasis of colorectal cancer,early and accurate prediction of liver metastasis is crucial for the diagnosis and treatment of ***,this study aims to investigate the application value of a combined machine learning(ML)based model based on the multiparameter magnetic resonance imaging for prediction of rectal metachronous liver metastasis(MLM).AIM To investigate the efficacy of radiomics based on multiparametric magnetic resonance imaging images of preoperative first diagnosed rectal cancer in predicting MLM from rectal *** We retrospectively analyzed 301 patients with rectal cancer confirmed by surgical pathology at Jingzhou Central Hospital from January 2017 to December *** participants were randomly assigned to the training or validation queue in a 7:3 *** first apply generalized linear regression model(GLRM)and random forest model(RFM)algorithm to construct an MLM prediction model in the training queue,and evaluate the discriminative power of the MLM prediction model using area under curve(AUC)and decision curve analysis(DCA).Then,the robustness and generalizability of the MLM prediction model were evaluated based on the internal validation set between the validation queue *** Among the 301 patients included in the study,16.28%were ultimately diagnosed with MLM through pathological *** analysis showed that carcinoembryonic antigen,and magnetic resonance imaging radiomics were independent predictors of ***,the GLRM prediction model was developed with a comprehensive nomogram to achieve satisfactory *** prediction performance of GLRM in the training and validation queue was 0.765[95%confidence interval(CI):0.710-0.820]and 0.767(95%CI:0.712-0.822),*** with GLRM,RFM achieved superior performance with AUC of 0.919(95%CI:0.868-0.970)and 0.901(95%CI:0.850-0.952)in the training and validation queue,respect

关键词： Rectal cancer Metachronous liver metastases Magnetic resonance imaging Radiomics Machine learning

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Pyrrolic nitrogen coordinated Ni^(2+) dual-atom catalyst for boosting CO_(2) electroreduction

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Science China Chemistry 2025年第2期68卷 570-579页

作者： zhi-Wei Chen Hong-Juan wang Chang Liu Xiu-Li Lu Tong-Bu Lu MOE International Joint Laboratory of Materials Microstructure Institute for New Energy Materials and Low Carbon TechnologiesSchool of Materials Science and EngineeringTianjin University of TechnologyTianjin 300384China

Nitrogen-doped carbon materials have been widely used for the constructions of single-atom catalysts,while the effect of different species of doped nitrogen on the catalytic activity of CO_(2) electroreduction has rarely been *** we found that pyrrolic-N coordinated Ni2+catalysts display much higher electrocatalytic CO_(2)-to-CO activity and selectivity than the corresponding pyridinic-N coordinated low valent Ni^((0–+2))catalysts,and pyrrolic-N coordinated Ni2 dual-atoms catalyst of Ni2/N-CNTs exhibits the best electrocatalytic performance,with over 90%Faradaic efficiencies in a broad potentials from−0.6 to−1.2 V *** hydrogen electrode,as well as an outstanding CO specific current of 56.2 A/mgNi and high turnover frequency of 6.2×10^(4) h^(−1),over 7-times higher than those of pyridinic-N coordinated Ni *** results indicate the weak electron-donor nature of pyrrolic-N facilitates the generation of a reduced active site at low overpotential for boosting CO_(2) *** functional theory calculations reveal that the reaction free energy for the*COOH formation on pyrrolic-N coordinated Ni catalysts are lower than those on pyridinic-N coordinated Ni catalysts,and a H_(2)Oadsorbed Ni_(2)/N-CNTs displays the optimized reaction free energy for both*COOH formation and CO desorption,which derive the best catalytic performance.

关键词： dual-atom catalyst CO_(2) electroreduction synergistic catalysis pyrrolic-N pyridinic-N

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