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Machine learning-based prediction of pregnancy outcomes in couples with non-obstructive azoospermia using micro-TESE for ICSI: a retrospective cohort study

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生殖与发育医学(英文) 2024年第1期08卷 24-31页

作者： Jia Lei chen pei-Gen chen Li-Na Fang Cong Zhang Jing chen Pan-Yu Reproductive Medicine Center The Sixth Affiliated Hospital 3. Sun Yat-sen University 4. Guangzhou 510275 5. China

Objective: To develop a clinically applicable tool for predicting clinical pregnancy, providing individualized patient counseling, and helping couples with non-obstructive azoospermia (NOA) decide whether to use fresh or cryopreserved spermatozoa for oocyte insemination before microdissection testicular sperm extraction (mTESE).Methods: A total of 240 couples with NOA who underwent mTESE-ICSI were divided into two groups based on the type of spermatozoa used for intracytoplasmic sperm injection (ICSI): the fresh and cryopreserved groups. After evaluating several machine learning algorithms, logistic regression was selected. Using LASSO regression and 10-fold cross-validation, the factors associated with clinical pregnancy were ***: The area under the curves (AUCs) for the fresh and cryopreserved groups in the Logistic Regression-based prediction model were 0.977 and 0.759, respectively. Compared with various modeling algorithms, Logistic Regression outperformed machine learning in both groups, with an AUC of 0.945 for the fresh group and 0.788 for the cryopreserved ***: The model accurately predicted clinical pregnancies in NOA couples.

关键词： Cryopreserved spermatozoa Fresh spermatozoa Logistic regression Microdissection testicular sperm extraction

Bacteria-responsive programmed self-activating antibacterial hydrogel to remodel regeneration microenvironment for infected wound healing

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National Science Review 2024年第4期11卷 254-270页

作者： Yutong Yang Jiaxin Wang Shengfei Huang Meng Li Jueying chen Dandan pei Zhen Tang Baolin Guo State Key Laboratory for Mechanical Behavior of Materials and Frontier Institute of Science and Technology and Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine ResearchCollege of Stomatology Xi'an Jiaotong University Department of Orthopedics Tangdu Hospital Fourth Military Medical University Department of Orthopedics The First Affiliated Hospital of Xi'an Jiaotong University

There is still an urgent need to develop hydrogels with intelligent antibacterial ability to achieve on-demand treatment of infected wounds and accelerate wound healing by improving the regeneration microenvironment. We proposed a strategy of hydrogel wound dressing with bacteria-responsive self-activating antibacterial property and multiple nanozyme activities to remodel the regeneration microenvironment in order to significantly promote infected wound healing. Specifically, p H-responsive H2O2self-supplying composite nanozyme（MSCO） and p H/enzyme-sensitive bacteria-responsive triblock micelles encapsulated with lactate oxidase（PPEL） were prepared and encapsulated in hydrogels composed of L-arginine-modified chitosan（CA） and phenylboronic acid-modified oxidized dextran（ODP） to form a cascade bacteria-responsive self-activating antibacterial composite hydrogel platform. The hydrogels respond to multifactorial changes of the bacterial metabolic microenvironment to achieve on-demand antibacterial and biofilm eradication through transformation of bacterial metabolites, and chemodynamic therapy enhanced by nanozyme activity in conjunction with self-driven nitric oxide（NO） release. The composite hydrogel showed 'self-diagnostic' treatment for changes in the wound *** self-activating antibacterial therapy in the infection stage to self-adaptive oxidative stress relief and angiogenesis in the post-infection stage, it promotes wound closure, accelerates wound collagen deposition and angiogenesis, and completely improves the microenvironment of infected wound regeneration, which provides a new method for the design of intelligent wound dressings.

关键词： bacterial response hydrogel dressing multiple nanozyme activity biofilm elimination infected motion wound healing

Highly Accurate Golden Section Search Algorithms and Fictitious Time Integration Method for Solving Nonlinear Eigenvalue Problems

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1317-1335页

作者： Chein-Shan Liu Jian-Hung Shen chung-Lun Kuo Yung-Wei chen Center of Excellence for Ocean Engineering Taiwan Ocean UniversityKeelung202301TaiwanChina Department of Marine Engineering Taiwan Ocean UniversityKeelung202301TaiwanChina

This study sets up two new merit functions,which are minimized for the detection of real eigenvalue and complex eigenvalue to address nonlinear eigenvalue *** each eigen-parameter the vector variable is solved from a nonhomogeneous linear system obtained by reducing the number of eigen-equation one less,where one of the nonzero components of the eigenvector is normalized to the unit and moves the column containing that component to the right-hand side as a nonzero input vector.1D and 2D golden section search algorithms are employed to minimize the merit functions to locate real and complex ***,the real and complex eigenvectors can be computed very accurately.A simpler approach to the nonlinear eigenvalue problems is proposed,which implements a normalization condition for the uniqueness of the eigenvector into the eigenequation *** real eigenvalues can be computed by the fictitious time integration method(FTIM),which saves computational costs compared to the one-dimensional golden section search algorithm(1D GSSA).The simpler method is also combined with the Newton iterationmethod,which is convergent very *** the proposed methods are easily programmed to compute the eigenvalue and eigenvector with high accuracy and efficiency.

关键词： Nonlinear eigenvalue problem quadratic eigenvalue problem two new merit functions golden section search algorithm fictitious time integration method

Computational tools for plant genomics and breeding

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Science China(Life Sciences) 2024年第8期67卷 1579-1590页

作者： Hai Wang Mengjiao chen Xin Wei Rui Xia Dong pei Xuehui Huang Bin Han State Key Laboratory of Maize Bio-breeding Frontiers Science Center for Molecular Design BreedingJoint International Research Laboratory of Crop Molecular BreedingNational Maize Improvement CenterCollege of Agronomy and BiotechnologyChina Agricultural UniversityBeijing 100193China Sanya Institute of China Agricultural University Sanya 572025China Hainan Yazhou Bay Seed Laboratory Sanya 572025China State Key Laboratory of Tree Genetics and Breeding Key Laboratory of Tree Breeding and Cultivation of the State Forestry and Grassland AdministrationResearch Institute of ForestryChinese Academy of ForestryBeijing 100091China Shanghai Key Laboratory of Plant Molecular Sciences College of Life SciencesShanghai Normal UniversityShanghai 200234China College of Horticulture South China Agricultural UniversityGuangzhou 510640China National Center for Gene Research CAS Center for Excellence in Molecular Plant SciencesChinese Academy of SciencesShanghai 200233China

Plant genomics and crop breeding are at the intersection of biotechnology and information *** by a combination of highthroughput sequencing,molecular biology and data science,great advances have been made in omics technologies at every step along the central dogma,especially in genome assembling,genome annotation,epigenomic profiling,and transcriptome *** advances further revolutionized three directions of *** is genetic dissection of complex traits in crops,along with genomic prediction and *** second is comparative genomics and evolution,which open up new opportunities to depict the evolutionary constraints of biological sequences for deleterious variant *** third direction is the development of deep learning approaches for the rational design of biological sequences,especially proteins,for synthetic *** three directions of development serve as the foundation for a new era of crop breeding where agronomic traits are enhanced by genome design.

关键词： bioinformatics plant genomics breeding by design

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Whole-genome sequencing in medicinal plants:current progress and prospect

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Science China(Life Sciences) 2024年第2期67卷 258-273页

作者： Yifei pei Liang Leng Wei Sun Baocai Liu Xue Feng Xiwen Li Shilin chen Institute of Chinese Materia Medica China Academy of Chinese Medical SciencesBeijing 100700China Institute of Herbgenomics Chengdu University of Traditional Chinese MedicineChengdu 611137China Innovative Institute of Chinese Medicine and Pharmacy Chengdu University of Traditional Chinese MedicineChengdu 611137China Institute of Agricultural Bioresource Fujian Academy of Agricultural SciencesFuzhou 350003China

Advancements in genomics have dramatically accelerated the research on medicinal plants,and the development of herbgenomics has promoted the“Project of 1K Medicinal Plant Genome”to decipher their genetic ***,it is difficult to obtain their high-quality whole genomes because of the prevalence of polyploidy and/or high genomic *** genomes of 123 medicinal plants were published until September *** published genome sequences were investigated in this review,covering their classification,research teams,ploidy,medicinal functions,and sequencing *** than 1,000 institutes or universities around the world and 50 countries are conducting research on medicinal plant *** species account for a majority of sequenced medicinal *** whole genomes of plants in the Poaceae family are the most *** 40%of the published papers studied species with tonifying,replenishing,and heat-cleaning medicinal *** plants are still in the process of domestication as compared with crops,thereby resulting in unclear genetic backgrounds and the lack of pure lines,thus making their genomes more difficult to *** addition,there is still no clear routine framework for a medicinal plant to obtain a high-quality whole ***,a clear and complete strategy has been originally proposed for creating a high-quality whole genome of medicinal ***,whole genome-based biological studies of medicinal plants,including breeding and biosynthesis,were *** also advocate that a research platform of model medicinal plants should be established to promote the genomics research of medicinal plants.

关键词： herbgenomics whole genome high throughput sequencing research strategy model species application

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High density dislocations enhance creep ageing response and mechanical properties in 2195 alloy sheet

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Journal of Central South University 2024年第7期31卷 2194-2209页

作者： WEI Shuo MA pei-pei chen Long-hui YANG Jian-shi ZHAN Li-hua LIU Chun-hui Light Alloy Research Institute Central South UniversityChangsha 410083China State Key Laboratory of Precision Manufacturing for Extreme Service Performance Central South UniversityChangsha 410083China School of Mechanical and Electrical Engineering Central South UniversityChangsha 410083China Advancd Research Center Central South UniversityChangsha 410083China Light Alloy Research

The creep strain of conventionally treated 2195 alloy is very low,increasing the difficulty of manufacturing Al-Cu-Li alloy sheet parts by creep age ***,finding a solution to improve the creep formability of Al-Cu-Li alloy is vital.A thorough comparison of the effects of cryo-deformation and ambient temperature large pre-deformation(LPD)on the creep ageing response in the 2195 alloy sheet at 160℃with different stresses has been *** evolution of dislocations and precipitates during creep ageing of LPD alloys are revealed by X-ray diffraction and transmission electron ***-quality 2195 alloy sheet largely pre-deformed by 80%without edge-cracking is obtained by cryo-rolling at liquid nitrogen temperature,while severe edge-cracking occurs during room temperature *** creep formability and strength of the 2195 alloy are both enhanced by introducing pre-existing dislocations with a density over 1.4×10^(15)m^(−2).At 160℃and 150 MPa,creep strain and creep-aged strength generally increases by 4−6 times and 30−50 MPa in the LPD sample,respectively,compared to conventional T3 alloy *** elongation of creep-aged LPD sample is low but remains relevant for *** high-density dislocations,though existing in the form of dislocation tangles,promote the formation of refined T1 precipitates with a uniform dispersion.

关键词： creep ageing Al-Cu-Li alloy high dislocation density cryogenic rolling dislocation strengthening

Identification of male schizophrenia patients using brain morphology based on machine learning algorithms

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World Journal of Psychiatry 2024年第6期14卷 804-811页

作者： Tao Yu Wen-Zhi pei Chun-Yuan Xu chen-chen Deng Xu-Lai Zhang Department of Clinical Nutrition Hefei Fourth People’s HospitalHefei 230032Anhui ProvinceChina Department of Psychiatry Hefei Fourth People’s HospitalHefei 230032Anhui ProvinceChina Department of Gynaecology Anhui Maternal and Child Health HospitalHefei 230032Anhui ProvinceChina

BACKGROUND Schizophrenia is a severe psychiatric disease,and its prevalence is ***,diagnosis of early-stage schizophrenia is still considered a challenging *** To employ brain morphological features and machine learning method to differentiate male individuals with schizophrenia from healthy *** The least absolute shrinkage and selection operator and t tests were applied to select important features from structural magnetic resonance images as input features for *** commonly used machine learning algorithms,the general linear model,random forest(RF),k-nearest neighbors,and support vector machine algorithms,were used to develop the classification *** performance of the classification models was evaluated according to the area under the receiver operating characteristic curve(AUC).RESULTS A total of 8 important features with significant differences between groups were considered as input features for the establishment of classification models based on the four machine learning *** to other machine learning algorithms,RF yielded better performance in the discrimination of male schizophrenic individuals from healthy controls,with an AUC of *** Our research suggests that brain morphological features can be used to improve the early diagnosis of schizophrenia in male patients.

关键词： Schizophrenia Machine learning Classification Structure Magnetic Resonance imaging

Clinical application of the endometrial microbiota test combined with personalized treatment in patients with repeated implantation failure

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生殖与发育医学(英文) 2024年第1期08卷 18-23页

作者： chen Rou-Zhu Wang Yan-Fang chen pei-Gen Fang Cong Li Ting-Ting Reproductive Medicine Center The Sixth Affiliated Hospital 3. Sun Yat-sen University 4. Guangzhou 510655 5. China

Objective: The objective of this study was to investigate the clinical value of the endometrial microbiota test (EMT) combined with personalized treatment in patients with repeated implantation failure (RIF).Methods: From March 2019 to August 2022, the clinical data of patients with RIF at the Reproductive Medicine Research Center of the Sixth Affiliated Hospital of Sun Yat-sen University were retrospectively analyzed. A total of 356 patients underwent the EMT using 16S rRNA sequencing and were included in the EMT group. The SPSS statistical software propensity score was set at 1:1 to match the age, anti-Müllerian hormone (AMH), antral follicle count (AFC), years of infertility, and body mass index (BMI) of the women who had not undergone the EMT; subsequently, 354 patients were classified in the non-EMT group. We compared the clinical characteristics of the two groups and analyzed the clinical pregnancy outcomes after personalized ***: The clinical pregnancy rate (CPR) of the EMT group was significantly higher than that of the non-EMT group (47.81%vs. 13.38%,P <0.05). Among 356 patients who underwent the EMT, 55 patients (15.45%) in group A with normal endometrial microbiota composition did not test positive for the pathogenic bacteria causing chronic endometritis, 34 patients (9.55%) in group B with abnormal endometrial microbiota composition did not test positive for the pathogenic bacteria causing chronic endometritis, 35 patients (9.83%) in group C with normal endometrial microbiota composition tested positive for the pathogenic bacteria causing chronic endometritis, and 232 patients (65.17%) in group D with abnormal endometrial microbiota composition tested positive for the pathogenic bacteria causing chronic endometritis. After administration of probiotics or antibiotic plus probiotics treatment, the pregnancy rates of groups C and D were higher than those of group A (44.00%vs. 20.00% and 55.03%vs. 20.00%, respectively; bothP <0.05).Conclusion:

关键词： Endometrial microbiota test Assisted reproductive technology Repeated implantation failure Personalized treatment

One-year observation of the mixing states of oxygenated organics-containing single particles in Guangzhou,China

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Frontiers of Environmental Science & Engineering 2024年第5期18卷 155-169页

作者： Liyuan Mao Suxia Yang Xiaoya cheng Sulin Liu Duanying chen Zhen Zhou Mei Li chenglei pei Chunlei cheng Institute of Mass Spectrometry and Atmospheric Environment Guangdong Provincial Engineering Research Center for the On-line Source Apportionment System of Air PollutionJinan UniversityGuangzhou510632China Guangdong-Hongkong-Macao Joint Laboratory of Collaborative Innovation for Environmental Quality Guangzhou510632China Guangzhou Research Institute of Environment Protection Co. Ltd.Guangzhou510620China Guangzhou Ecological and Environmental Monitoring Center of Guangdong Province Guangzhou510030China State Key Laboratory of Marine Resource Utilization in South China Sea Hainan UniversityHaikou570228China State Key Laboratory of Loess and Quaternary Geology Institute of Earth EnvironmentChinese Academy SciencesXi’an710061China

Oxygenated organic molecules(OOMs)play an important role in the formation of secondary organic aerosols(SOAs),but the mixing states of OOMs are still *** study investigates the mixing states of OOM-containing single particles from the measurements taken using a single particle aerosol mass spectrometer in Guangzhou,China in ***,the particle counts of OOM particles and the mass concentration of secondary organic carbon(SOC)exhibited similar temporal trends throughout the entire *** OOM particles were consistently enriched in secondary ions,including ^(16)O^(−),^(26)CN^(−),^(46)NO_(2)^(−),^(62)NO_(3)^(−),and ^(97)HSO_(4)^(−).In contrast,the number fractions and diurnal patterns of OOM particles among the total detected particles showed similar distributions in August and October;however,the SOC ratios in fine particulate matter were quite different,suggesting that there were different mixing states of single-particle oxygenated *** addition,further classification results indicated that the OOM particles were more aged in October than August,even though the SOC ratios were higher in ***,the distribution of hydrocarbon fragments exhibited a notable decrease from January to October,emphasizing the more aged state of the organics in *** addition,the sharp increase in elemental carbon(EC)-OOM particles in the afternoon in October suggests the potential role of EC in the aging process of ***,in contrast to the bulk analysis of SOC mass concentration,the mixing states of the OOM particles provide insights into the formation process of SOAs in field studies.

关键词： Oxygenated organics Single particles Mixing state Secondary formation Photochemistry