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Predicting microbial extracellular electron transfer activity in paddy soils with soil physicochemical properties using machine learning

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Science China(Technological Sciences) 2024年第1期67卷 259-270页

作者： OU JiaJun luo xiaoshan LIU JunYang HUANG LinYan ZHOU LiHua YUAN Yong School of Automation Guangdong University of TechnologyGuangzhou 510006China Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control Guangzhou Key Laboratory Environmental Catalysis and Pollution ControlSchool of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China School of Biomedical and Pharmaceutical Sciences Guangdong University of TechnologyGuangzhou 510006China

Soil extracellular electron transfer(EET)is a pivotal biological process within the realm of ***,EET suffers from a lack of predictive ***,an intricately crafted machine learning model has been developed for the purpose of predicting soil EET by using the physicochemical properties of soil as independent input variables and the EET capabilities in terms of current density(j_(max))and Coulombic charge(C_(out))as dependent output *** autoencoder ensemble stacking(AES)model was developed to address the aforementioned issue by integrating support vector machine,multilayer perceptron,extreme gradient boosting,and light gradient boosting machine algorithms as the stacking *** 10-fold crossvalidation,the AES model exhibited notable improvements in predicting j_(max)and C_(out),with average test R^(2)values of 0.83 and 0.84,respectively,surpassing those of single machine learning(ML)models and the basic ensemble *** utilizing partial correlation plots(PDPs),Shapley Additive explanations(SHAP)values,and SHAP decision plots,we quantitatively explained the impact and contribution of the input molecules on the AES model’s predictions of j_(max)and C_(out).In the context of the SHAP method for the AES model,total carbon(TC)was identified as the most correlated descriptor for j_(max),while total organic carbon(TOC)stood out as the most relevant descriptor for C_(out).In the prediction tasks of j_(max)and C_(out)within the AES model,employing a multitask ML approach allowed the model to benefit from the shared information of input variables,thereby enhancing its overall *** study provides a feasible tool for the prediction of soil EET from soil physiochemical properties and an advanced understanding of the relationship between soil physiochemical properties and EET capability.

关键词： extracellular electron transfer paddy soil machine learning prediction autoencoder ensemble stacking model

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移动GIS技术在土地变更调查中的应用分析

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科技资讯 2024年第6期22卷 14-16页

作者：游仁龙罗晓珊令狐丹戎兴义市自然资源局贵州兴义562400 贵州工程应用技术学院贵州毕节551700

随着经济的快速发展,如何实现土地资源的合理利用与保护成为我国可持续发展的重要课题。土地变更调查作为重要的国情调查,对于掌握土地利用现状、监测土地变化、制定土地政策具有重要意义。近年来,GIS在我国土地变更调查中得到了广泛应... 详细信息

随着经济的快速发展,如何实现土地资源的合理利用与保护成为我国可持续发展的重要课题。土地变更调查作为重要的国情调查,对于掌握土地利用现状、监测土地变化、制定土地政策具有重要意义。近年来,GIS在我国土地变更调查中得到了广泛应用,提高了调查的效率和准确性。以移动GIS技术在土地变更调查中的应用为例,进一步探讨移动GIS技术在土地变更调查中的优势和特点。

关键词：土地变更调查移动GIS技术土地资源信息共享

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Rational design of carbon skeleton interfaces for highly reversible sodium metal battery anodes

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Journal of Energy Chemistry 2024年第5期92卷 404-413页

作者： Fenqiang luo Taiyu Lyu Jie Liu Peiwan Guo Junkai Chen xiaoshan Feng Dechao Wang Zhifeng Zheng Key Laboratory of Advanced Energy Storage Technology Fujian Province UniversityFujian Provincial Industry Technologies Development Base for New EnergyCollaborative Innovation Platform for Advanced Electrochemical Energy Storage TechnologyNational User-Side Energy Storage Innovation Research and Development CenterTan Kah Kee Innovation Laboratory(IKKEM)College of EnergyXiamen UniversityXiamen 361102FujianChina College of Environmental Science and Engineering Fujian Normal UniversityFuzhou 350007FujianChina Department of Chemical Engineering Tsinghua UniversityBeijing 100084China

Sodium metal batteries(SMBs)have attracted increasing attention over time due to their abundance of sodium resources and low ***,the widespread application of SMBs as a viable technology remains a great challenge,such as uneven metallic deposition and dendrite formation during *** skeletons as sodiophilic hosts can alleviate the dendrite formation during the plating/*** the carbon skeleton,how to rationalize the design sodiophilic interfaces between the sodium metal and carbon species remains key to developing desirable Na ***,we fabricated four kinds of structural features for carbon skeletons using conventional calcination and flash Joule *** roles of conductivity,defects,oxygen content,and the distribution of graphite for the deposition of metallic sodium were discussed in *** on interface engineering,the J1600 electrode,which has abundant Na-C species on its surface,showed the highest *** are uniform and rich F-Na species distributed in the inner solid electrolyte interface *** study investigated the different Na-deposition behavior in carbon hosts with distinct graphitic arrangements to pave the way for designing and optimizing advanced electrode materials.

关键词： Carbon skeleton Graphited structure Deposition mechanism Sodiummetal batteries

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A novel deep generative model for mRNA vaccine development: Designing 5′ UTRs with N1-methyl-pseudouridine modification

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Acta Pharmaceutica Sinica B 2024年第4期14卷 1814-1826页

作者： xiaoshan Tang Miaozhe Huo Yuting Chen Hai Huang Shugang Qin Jiaqi luo Zeyi Qin Xin Jiang Yongmei Liu Xing Duan Ruohan Wang Lingxi Chen Hao Li Na Fan Zhongshan He Xi He Bairong Shen Shuai Cheng Li Xiangrong Song Institute of Systems Genetics Department of Critical Care MedicineFrontiers Science Center for Disease-related Molecular NetworkState Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu 610000China Department of Computer Science City University of Hong KongHong Kong 99907China Department of Biology Brandeis UniversityBostonMA 02453USA

Efficient translation mediated by the 5'untranslated region(5'UTR)is essential for the robust efficacy of mRNA ***,the N1-methyl-pseudouridine(m1)modification of mRNA can impact the translation efficiency of the 5'*** discovered that the optimal 5'UTR for m1y-modified mRNA(m1y-5'UTR)differs significantly from its unmodified counterpart,high-lighting the need for a specialized tool for designing mly-5'UTRs rather than directly utilizing high-expression endogenous gene 5'*** response,we developed a novel machine learning-based tool,Smart5UTR,which employs a deep generative model to identify superior m1y-5'UTRs in *** tailored loss function and network architecture enable Smart5UTR to overcome limitations inherent in existing *** a result,Smart5UTR can successfully design superior 5'UTRs,greatly benefiting mRNA vaccine ***,Smart5UTR-designed superior 5'UTRs significantly enhanced antibody titers induced by COVID-19 mRNA vaccines against the Delta and Omicron variants of SARS-CoV-2,surpassing the performance of vaccines using high-expression endogenous gene 5'UTRs.

关键词： mRNA vaccine Machine learning 5'UTR mRNA design Sequence design N1-Methyl-pseudouridine COVID-19 SARS-CoV-2

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回到纯洁的人的群体(组诗)

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钟山 2022年第1期 138-143页

作者：罗霄山贵州民刊《走火》

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机器学习加速理论晶体结构预测研究进展

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硅酸盐学报 2023年第2期51卷 552-560页

作者：罗啸山王振雨高朋越张微吕健王彦超吉林大学超硬材料国家重点实验室长春130012 吉林大学计算方法与软件国际中心长春130012 吉林大学未来科学国际合作联合实验室长春130012

理论晶体结构预测可以在给定化学组分的条件下确定材料的晶体结构,已成为材料科学研究的重要工具。然而,该方法一直面临计算成本高的瓶颈问题。近年来,新兴机器学习方法在传统科学计算上展现了广阔的应用前景,逐渐被引入到晶体结构预测... 详细信息

理论晶体结构预测可以在给定化学组分的条件下确定材料的晶体结构,已成为材料科学研究的重要工具。然而,该方法一直面临计算成本高的瓶颈问题。近年来,新兴机器学习方法在传统科学计算上展现了广阔的应用前景,逐渐被引入到晶体结构预测领域。本文主要讨论机器学习方法在理论晶体结构预测领域的最新研究进展,分别从加速晶体结构的能量计算和势能面的探索两个方面介绍领域的最新成果,并对未来研究可能的发展提出抛砖引玉的见解。

关键词：机器学习晶体结构预测机器学习势生成模型

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Phase II Clinical Study of Three-Dimensional Printed Coplanar Template Combined with CT-Guided Percutaneous Core Needle Biopsy of Pulmonary Nodules in Elderly Patients

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Journal of Biosciences and Medicines 2024年第7期12卷 325-336页

作者： Wangti Xie Yu Wu xiaoshan Cheng Jianbing Hu Fang Wen Jia Xiao Pan luo Yuqi Su Xiang Yao Jianlong Fang Grong Dan Xianggan Huang Dunqian Liu Jie Weng Oncology Department of Yueyang Central Hospital Yueyang China Radiotherapy Center Yueyang Central Hospital Yueyang China Respiratory Department of Yueyang Central Hospital Yueyang China Imaging Department of Yueyang Central Hospital Yueyang China Thoracic Surgery Department of Yueyang Central Hospital Yueyang China

Background: As the population age structure gradually ages, more and more elderly people were found to have pulmonary nodules during physical examinations. Most elderly people had underlying diseases such as heart, lung, brain and blood vessels and cannot tolerate surgery. Computed tomography (CT)-guided percutaneous core needle biopsy (CNB) was the first choice for pathological diagnosis and subsequent targeted drugs, immune drugs or ablation treatment. CT-guided percutaneous CNB requires clinicians with rich CNB experience to ensure high CNB accuracy, but it was easy to cause complications such as pneumothorax and hemorrhage. Three-dimensional (3D) printing coplanar template (PCT) combined with CT-guided percutaneous pulmonary CNB biopsy has been used in clinical practice, but there was no prospective, randomized controlled study. Methods: Elderly patients with lung nodules admitted to the Department of Oncology of our hospital from January 2019 to January 2023 were selected. A total of 225 elderly patients were screened, and 30 patients were included after screening. They were randomly divided into experimental group (Group A: 30 cases) and control group (Group B: 30 cases). Group A was given 3D-PCT combined with CT-guided percutaneous pulmonary CNB biopsy, Group B underwent CT-guided percutaneous pulmonary CNB. The primary outcome measure of this study was the accuracy of diagnostic CNB, and the secondary outcome measures were CNB time, number of CNB needles, number of pathological tissues and complications. Results: The diagnostic accuracy of group A and group B was 96.67% and 76.67%, respectively (P = 0.026). There were statistical differences between group A and group B in average CNB time (P = 0.001), number of CNB (1 vs more than 1, P = 0.029), and pathological tissue obtained by CNB (3 vs 1, P = 0.040). There was no statistical difference in the incidence of pneumothorax and hemorrhage between the two groups (P > 0.05). Conclusions: 3D-PCT combined with CT

关键词： Pulmonary Nodules Elderly patients Three-Dimensional (3D) Printed Coplanar Template (PCT) Core Needle Biopsy (CNB) Computed Tomography (CT)

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煤焦颗粒群异相反应特性的数值模拟研究

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煤炭学报 2024年第4期49卷 2076-2085页

作者：张泽武乐笑宇李小姗邬凡罗聪张立麒华中科技大学煤燃烧国家重点实验室湖北武汉430074 华中科技大学能源与动力工程学院湖北武汉430074

煤焦异相反应是煤粉燃烧区别于气体燃料燃烧或液体燃料燃烧的特征之一,其反应过程占整个煤粉燃烧时间约90%,对煤粉高效燃烧至关重要。通常情况下,煤粉颗粒以稠密相而非以稀疏相或单颗粒形式进入炉膛,颗粒间的相互作用会影响煤焦异相反应... 详细信息

煤焦异相反应是煤粉燃烧区别于气体燃料燃烧或液体燃料燃烧的特征之一,其反应过程占整个煤粉燃烧时间约90%,对煤粉高效燃烧至关重要。通常情况下,煤粉颗粒以稠密相而非以稀疏相或单颗粒形式进入炉膛,颗粒间的相互作用会影响煤焦异相反应,因此,深入开展煤焦颗粒群异相反应行为研究对于煤的高效利用十分必要。采用准稳态的数值模拟方法研究煤焦颗粒群的异相反应行为,对比分析了煤焦单颗粒和煤焦颗粒群的反应特性,相比于煤焦单颗粒,煤焦颗粒群燃烧峰值温度升高约300 K,颗粒表面温度降低约100 K,碳消耗速率降低56%~65%,说明颗粒间作用影响了煤焦颗粒的燃烧反应进程。对3种典型分散形式下煤焦颗粒群燃烧反应特性进行研究,随着颗粒间距的增加,各分散形式的煤焦氧化反应占比增加0.22%~2.20%,碳消耗速率随之增大9.8%~26.1%,较大颗粒间距有利于O_(2)分子在颗粒间的扩散,促进了氧化反应以及煤焦消耗。探究了不同反应气氛下煤焦颗粒群的燃烧反应特性,相比于空气气氛,高CO_(2)和H_(2)O气氛下燃烧群峰值温度增加4%~30%,颗粒表面温度升高0.5%~3.7%,其中30%O_(2)/70%H_(2)O工况的碳消耗速率最大,较空气气氛高80%。综合对比,各颗粒间作用、颗粒间距和反应气氛工况下3种颗粒群分散形式的煤焦燃烧碳消耗速率依次为:形式C>形式B>形式A(形式A:颗粒群呈正方形分散;形式B:颗粒群呈正菱形分散;形式C:颗粒群呈正三角形分散),因此颗粒与气流之间的扰乱作用对煤焦的消耗产生不可忽视的影响。

关键词：异相反应煤焦颗粒群燃烧颗粒温度碳消耗速率

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诗十家

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十月 2023年第6期 229-237页

作者：罗霄山吴春山蔡建旺张春林全秋生不详

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多关节超冗余机器人自适应运动规划方法研究

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机械传动 2024年第8期48卷 26-32页

作者：罗双宝曾凤飞曾小珊强华王晓阳重庆人文科技学院机电与信息工程学院重庆401524

针对传统多关节超冗余机器人运动学求解复杂、位形偏移大等问题,提出了一种机器人作业全过程自适应运动规划方法。首先,针对进出狭小工作空间任务需求,提出一种改进的轨迹跟踪算法;通过离散目标轨迹和分段拟合的方式减小运算量,实现自... 详细信息

针对传统多关节超冗余机器人运动学求解复杂、位形偏移大等问题,提出了一种机器人作业全过程自适应运动规划方法。首先,针对进出狭小工作空间任务需求,提出一种改进的轨迹跟踪算法;通过离散目标轨迹和分段拟合的方式减小运算量,实现自适应轨迹跟踪控制。然后,针对机器人基座固定工况,提出一种双向迭代曳物线轨迹规划算法;通过末端牵引方式设定目标轨迹,利用曳物线渐进收敛的几何特性,逐步降低靠近基座关节的运动范围,提高稳定性降低能耗;采用双向迭代曳物线方式加速收敛,实现基座固定状态下的自适应轨迹规划控制。最后,构建包含12关节和(24+1)自由度的仿真模型,验证了机器人作业全过程自适应运动规划方法的有效性。

关键词：多关节超冗余机器人迭代曳物线末端牵引运动规划

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