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Impact of different anastomosis methods on post-recurrence after intestinal resection for Crohn's disease:A meta-analysis

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World Journal of Gastrointestinal Surgery 2024年第4期16卷 1165-1175页

作者： zheng-Zuo wang Chun-Hua Zhao hui Shen Gui-Ping Dai Department of Anorectal Jiashan Hospital of Traditional Chinese MedicineJiaxing 314100Zhejiang ProvinceChina Department of Oncology Jiashan Hospital of Traditional Chinese MedicineJiaxing 314100Zhejiang ProvinceChina Department of Gastroenterology Jiashan Hospital of Traditional Chinese MedicineJiaxing 314100Zhejiang ProvinceChina Department of Oncology The Second Hospital of JiaxingJiaxing 314000Zhejiang ProvinceChina

BACKGROUND Crohn's disease(CD)is a chronic inflammatory disease of the gastrointestinal tract,often requiring intestinal resection as a common treatment.However,recurrence after surgery is common.The anastomotic configuration after bowel resection appears to be associated with the recurrence of CD.Previous studies have suggested that the Kono-S anastomosis may help to reduce the recurrence rate.However,the results remain controversial.Therefore,evidence-based evidence is needed to prove the advantages of Kono-S anastomosis.AIM To measure the influence of anastomosis techniques on the long-term relapse rate of CD by conducting a meta-analysis.METHODS PubMed,Scopus,and Cochrane Library were searched until October 8,2023.Patients who underwent intestinal resection due to CD were included.The intervention measures included Kono-S anastomosis,whereas the control group received traditional anastomosis such as end-to-end,end-to-side,and side-to-side anastomosis.Only randomized clinical trials and observational studies were included.The primary outcome measures were hospital stay post-surgery,overall postoperative complication incidence,the proportion of Clavien-Dindo grade IIIa or higher,overall postoperative recurrence rate,and Rutgeerts score.RESULTS From 2011 to 2023,six articles met the inclusion and exclusion criteria.The results indicated that Kono-S anastomosis can reduce the hospital stay post-surgery of patients with CD[MD=-0.26,95%CI:-0.42 to-0.10,P=0.002]than other traditional anastomosis methods.Compared to other traditional anastomosis methods,Kono-S anastomosis can significantly reduce the total recurrence rate[MD=0.40,95%CI:0.17 to 0.98,P=0.05]and postoperative Rutgeerts score[MD=-0.81,95%CI:-0.96 to-0.66,P<0.001]in patients with CD.However,there is no significant disparity in the overall occurrence of postoperative complications and the proportion of Clavien-Dindo≥IIIa.CONCLUSION Kono-S anastomosis has the potential to expedite the recuperation of CD and diminish relapse hazards;however,additional larger

关键词： Kono-S Crohn’s disease Traditional anastomosis Postoperative recurrence Meta-analysis

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Full-Stokes metasurface polarimetry requiring only a single measurement

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Photonics Research 2024年第3期12卷 514-521页

作者： CHENGLONG zheng hui LI JINGYU LIU MENGGUANG wang HUAPING ZANG YAN ZHANG JIANQUAN YAO Key Laboratory of Material Physics Ministry of EducationSchool of Physics and MicroelectronicsZhengzhou UniversityZhengzhou 450052China Key Laboratory of Opto-Electronics Information Technology(Tianjin University) Ministry of EducationSchool of Precision Instruments and Opto-Electronics EngineeringTianjin UniversityTianjin 300072China Beijing Key Laboratory for Metamaterials and Devices Key Laboratory of Terahertz OptoelectronicsMinistry of Educationand Beijing Advanced Innovation Center for Imaging TechnologyDepartment of PhysicsCapital Normal UniversityBeijing 100048China State Key Laboratory of Modern Optical Instrumentation College of Optical Science and EngineeringZhejiang UniversityHangzhou 310027China

Polarization is crucial in various fields such as imaging,sensing,and substance detection.A compact,fast,and accurate polarization detection device is vital for these applications.Herein,we demonstrate a multifocus metalens for terahertz polarization detection that requires only a single measurement to obtain complete polarization parameters and reconstruct the polarization state of the incident field.The individual subarrays of this metalens convert each of the six polarized components into the same polarization,which in turn links the Stokes parameters to these six foci.The incident linear polarizations and elliptical polarizations are characterized by Stokes parameters and polarization ellipses.Simulations and experimental results show that the scheme can accurately detect the incident polarization with a single measurement.The proposed metasurface polarimetry may find applications in the fields of real-time terahertz detection and integrated optics.

关键词： field incident polar

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Advances of machine learning in materials science: Ideas and techniques

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Frontiers of physics 2024年第1期19卷 155-194页

作者： Sue Sin Chong Yi Sheng Ng hui-Qiong wang Jin-Cheng zheng Department of New Energy Science and Engineering Xiamen University MalaysiaSepang 43900Malaysia Engineering Research Center of Micro-nano Optoelectronic Materials and Devices Ministry of EducationFujian Key Laboratory of Semiconductor Materials and ApplicationsCI Center for OSEDand Department of PhysicsXiamen UniversityXiamen 361005China

In this big data era, the use of large dataset in conjunction with machine learning (ML) has been increasingly popular in both industry and academia. In recent times, the field of materials science is also undergoing a big data revolution, with large database and repositories appearing everywhere. Traditionally, materials science is a trial-and-error field, in both the computational and experimental departments. With the advent of machine learning-based techniques, there has been a paradigm shift: materials can now be screened quickly using ML models and even generated based on materials with similar properties;ML has also quietly infiltrated many sub-disciplinary under materials science. However, ML remains relatively new to the field and is expanding its wing quickly. There are a plethora of readily-available big data architectures and abundance of ML models and software;The call to integrate all these elements in a comprehensive research procedure is becoming an important direction of material science research. In this review, we attempt to provide an introduction and reference of ML to materials scientists, covering as much as possible the commonly used methods and applications, and discussing the future possibilities.

关键词： machine learning materials science

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Pathogen-induced methylglyoxal negatively regulates rice bacterial blight resistance by inhibiting OsCDR1 protease activity

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Molecular Plant 2024年第2期17卷 325-341页

作者： zheng-Wei Fu Jian-hui Li Xiang Gao Shi-Jia wang Ting-Ting Yuan Ying-Tang Lu State Key Laboratory of Hybrid Rice College of Life SciencesRenmin Hospital of Wuhan UniversityWuhan UniversityWuhan 430072China Key Laboratory of Biology and Genetic Improvement of OilCrops Ministry of Agriculture and Rural AffairsOilCrops Research Institute of the Chinese Academy of Agricultural SciencesWuhan 430062China

Xanthomonas oryzae pv.oryzae(Xoo)causes bacterial blight(BB),a globally devastating disease of rice(Oryza sativa)that is responsible for significant crop loss.Sugars and sugar metabolites are important for pathogen infection,providing energy and regulating events associated with defense responses;howev-er,the mechanisms by which they regulate such events in BB are unclear.As an inevitable sugar metabolite,methylglyoxal(MG)is involved in plant growth and responses to various abiotic stresses,but the underlying mechanisms remain enigmatic.Whether and how MG functions in plant biotic stress responses is almost completely unknown.Here,we report that the Xoo strain PXO99 induces OsWRKY62.1 to repress transcrip-tion of OsGLY Il genes by directly binding to their promoters,resulting in overaccumulation of MG.MG negatively regulates rice resistance against Pxo99:osglyll2 mutants with higher MG levels are more sus-ceptible to the pathogen,whereas OsGLYIl2-overexpressing plants with lower MG content show greater resistance than the wild type.Overexpression of OsGLYll2 to prevent excessive MG accumulation confers broad-spectrum resistance against the biotrophic bacterial pathogens Xoo and Xanthomonas oryzae pv.oryzicola and the necrotrophic fungal pathogen Rhizoctonia solani,which causes rice sheath blight.Further evidence shows that MG reduces rice resistance against PXO99 through CONSTITUTIVE DISEASE RESISTANCE 1(OsCDR1).MGmodifies the Arg97 residue of OsCDR1to inhibit its aspartic protease activ-ity,which is essential for OsCDR1-enhanced immunity.Taken together,these findings illustrate how Xoo promotes infection by hijacking a sugar metabolite in the host plant.

关键词： Oryza sativa bacterial blight OsWRKY62.1 methylglyoxal OsCDR1

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Clinical study of different prediction models in predicting diabetic nephropathy in patients with type 2 diabetes mellitus

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World Journal of Diabetes 2024年第1期15卷 43-52页

作者： Sha-Sha Cai Teng-Ye zheng Kang-Yao wang hui-Ping Zhu Department of Nephrology The First People’s Hospital of WenlingWenling 317500Zhejiang ProvinceChina

BACKGROUND Among older adults,type 2 diabetes mellitus(T2DM)is widely recognized as one of the most prevalent diseases.Diabetic nephropathy(DN)is a frequent com-plication of DM,mainly characterized by renal microvascular damage.Early detection,aggressive prevention,and cure of DN are key to improving prognosis.Establishing a diagnostic and predictive model for DN is crucial in auxiliary diagnosis.AIM To investigate the factors that impact T2DM complicated with DN and utilize this information to develop a predictive model.METHODS The clinical data of 210 patients diagnosed with T2DM and admitted to the First People’s Hospital of Wenling between August 2019 and August 2022 were retrospectively analyzed.According to whether the patients had DN,they were divided into the DN group(complicated with DN)and the non-DN group(without DN).Multivariate logistic regression analysis was used to explore factors affecting DN in patients with T2DM.The data were randomly split into a training set(n=147)and a test set(n=63)in a 7:3 ratio using a random function.The training set was used to construct the nomogram,decision tree,and random forest models,and the test set was used to evaluate the prediction performance of the model by comparing the sensitivity,specificity,accuracy,recall,precision,and area under the receiver operating characteristic curve.RESULTS Among the 210 patients with T2DM,74(35.34%)had DN.The validation dataset showed that the accuracies of the nomogram,decision tree,and random forest models in predicting DN in patients with T2DM were 0.746,0.714,and 0.730,respectively.The sensitivities were 0.710,0.710,and 0.806,respectively;the specificities were 0.844,0.875,and 0.844,respectively;the area under the receiver operating characteristic curve(AUC)of the patients were 0.811,0.735,and 0.850,respectively.The Delong test results revealed that the AUC values of the decision tree model were lower than those of the random forest and nomogram models(P<0.05),whereas the difference in AUC values of the random forest and colu

关键词： Type 2 diabetes mellitus Diabetic nephropathy Random forest Decision-making tree Nomogram Forecast

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Macroscopic model and statistical model to characterize electromagnetic information of a digital coding metasurface

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National Science Review 2024年第3期11卷 159-171页

作者： Rui Wen Shao Jun Wei Wu zheng Xing wang hui Xu Han Qing Yang Qiang Cheng Tie Jun Cui Institute of Electromagnetic Space Southeast University State Key Laboratory of Millimeter Waves Southeast University Peng Cheng Laboratory Pazhou Laboratory(Huangpu)

A digital coding metasurface is a platform connecting the digital space and electromagnetic wave space, and has therefore gained much attention due to its intriguing value in reshaping wireless channels and realizing new communication architectures. Correspondingly, there is an urgent need for electromagnetic information theory that reveals the upper limit of communication capacity and supports the accurate design of metasurface-based communication systems. To this end, we propose a macroscopic model and a statistical model of the digital coding metasurface. The macroscopic model uniformly accommodates both digital and electromagnetic aspects of the meta-atoms and predicts all possible scattered fields of the digital coding metasurface based on a small number of simulations or measurements. Full-wave simulations and experimental results show that the macroscopic model is feasible and accurate. A statistical model is further proposed to correlate the mutual coupling between meta-atoms with covariance and to calculate the entropy of the equivalent currents of digital coding metasurface. These two models can help reconfigurable intelligent surfaces achieve more accurate beamforming and channel estimation, and thus improve signal power and coverage. Moreover, the models will encourage the creation of a precoding codebook in metasurface-based direct digital modulation systems, with the aim of approaching the upper limit of channel capacity. With these two models, the concepts of current space and current entropy, as well as the analysis of information loss from the coding space to wave space, is established for the first time, helping to bridge the gap between the digital world and the physical world, and advancing developments of electromagnetic information theory and new-architecture wireless systems.

关键词： electromagnetic information theory current entropy current space digital coding metasurface macroscopic model statistical model

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Advances of biomarkers in nasopharyngeal carcinoma’s early detection

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Science Bulletin 2024年第2期69卷 141-145页

作者： Xiao-hui zheng Allan Hildesheim Wei-Hua Jia State Key Laboratory of Oncology in South China Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapyGuangdong Provincial Clinical Research Center for CancerSun Yat-sen University Cancer CenterGuangzhou 510060China Costa Rican Agency for Biomedical Investigation INCIENSA FoundationSan Jose 10108Costa Rica

Nasopharyngeal carcinoma(NPC),a highly invasive and metastatic cancer,is widely prevalent in South China,Southeast Asia,and North Africa.NPC patients with stages I and II are often asymptomatic.Therefore,NPC patients are usually diagnosed with advanced-stage(stages III and IV)at their first visit.Detection of NPC at early stage is the key to improve the survival of patients.Epstein-Barr virus(EBV)plays an essential role in NPC occurrence in endemic areas.EBV-based biomarkers,including EBV antibody in serum and EBV DNA in plasma,have been specifically proposed for NPC early detection.Herein,we summarize recent advances in biomarkers for the early detection of NPC.

关键词： patients nasopharyngeal Nasopharyngeal

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Early colorectal cancer screening–no time to lose

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World Journal of Gastroenterology 2024年第23期30卷 2959-2963页

作者： Ying wang zheng-Long Wu Yi-Gang wang hui wang Xiao-Yuan Jia College of Life Sciences and Medicine Zhejiang Sci-Tech UniversityHangzhou 310018Zhejiang ProvinceChina Department of Oncology Zhejiang Xiaoshan HospitalHangzhou 310018Zhejiang ProvinceChina

In this editorial,we comment on the article entitled“Stage at diagnosis of colorectal cancer through diagnostic route:Who should be screened?”by Agatsuma et al.Colorectal cancer(CRC)is emerging as an important health issue as its incidence continues to rise globally,adversely affecting the quality of life.Although the public has become more aware of CRC prevention,most patients lack screening awareness.Some poor lifestyle practices can lead to CRC and symptoms can appear in the early stages of CRC.However,due to the lack of awareness of the disease,most of the CRC patients are diagnosed already at an advanced stage and have a poor prognosis.

关键词： Colorectal cancer The immunochemical fecal occult blood test Diagnostic route Cancer screening Stage at diagnosis

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Interface interaction between SiO_(2) and magnetite under high temperature:particle migration and inhibition mechanism

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Journal of Iron and Steel Research(International) 2024年第3期31卷 561-572页

作者： Yao-zu wang Jian-liang Zhang Qiang Cheng hui-qing Jiang zheng-jian Liu Yu-bo Tan School of Intelligent Science and Technology University of Science and Technology BeijingBeijing 100083China School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China School of Advanced Engineering University of Science and Technology BeijingBeijing 100083China

Silicon is one of the main gangue components in iron ore,usually in the form of quartz and olivine.Numerous studies have shown that SiO_(2) has a two-sided effect on the consolidation of pellets during high-temperature oxidation roasting of magnetite.However,it is very difficult to capture the structural evolution and migration mechanisms during high-tem-perature roasting process by existing experimental methods.Therefore,the influence of SiO_(2) on the consolidation behavior of magnetite was studied through a series of roasting experiments and molecular dynamic simulation.The results show that the consolidation index and particle growth index decrease with the increase in SiO_(2) content in the particles.At 1573 K,the liquid phase promotes the recrystallization growth of hematite at high temperature.Molecular dynamic study shows that it is difficult for quartz SiO_(2) to form sintering neck with Fe_(2)O_(3).When the calcination temperature is higher than 1400 K,the Fe_(2)O_(3)-Fe_(2)SiO_(4) system produces a considerable sintering neck structure after relaxation.The atomic migration ability of Fe_(2)SiO_(4) is much higher than that of Fe_(2)O_(3).The higher atomic migration ability of Fe_(2)SiO_(4) is the main reason for the formation of the sintering neck.

关键词： Sintering neck Crystal growth Consolidation Molecular dynamics SiO_(2)

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O_(2) adsorption on Fe_(3)O_(4) (110) surface and effect of gangue element Al doping: combined study of binding experiment and ab initio molecular dynamics

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Journal of Iron and Steel Research(International) 2024年第4期31卷 810-827页

作者： zheng-jian Liu hui-qing Jiang Yao-zu wang Jian-liang Zhang Hong-mei Qiao An-yang zheng Fang-yu Guo School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China School of Intelligence Science and Technology University of Science and Technology BeijingBeijing 100083China Beijing Shougang Co. Ltd.Qian'an 064404HebeiChina Department of Physics National University of Defense TechnologyChangsha 410128HunanChina

At high temperature,the chemical reaction mechanism at the interface of magnetite and the influence mechanism of gangue element Al on the oxidation performance of magnetite are not clear.In addition,due to the limitation of existing experimental equipment,it is difficult to clarify the interface reaction mechanism in the oxidation process and the influence mechanism of Al on the surface oxidation reaction of Fe_(3)O_(4) at an atomic scale at high temperature.The surface oxidation reaction mechanism of magnetite and the influence mechanism of Al on the oxidation of magnetite were studied by experiments and AIMD(ab initio molecular dynamics).The experimental results show that the existence of Al_(2)O_(3) will reduce the initial oxidation temperature and comprehensive oxidation performance of magnetite.The AIMD results show that aluminum can accelerate the interface reaction rate of Fe_(3)O_(4) in the high-temperature oxidation atmosphere,but the strong Al-O binding ability is not conducive to the transfer of O atoms in the oxidation process.

关键词： Ironmaking Magnetite oxidation Interface reaction Adsorption-Gangue aluminum AIMD

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