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shinyTempSignal:an R shiny application for exploring temporal and other phylogenetic signals

Journal of Genetics and Genomics 2024年第7期51卷 762-768页

作者： Li Zhan Xiao Luo Wenqin Xie Xuan-An Zhu Zijing Xie Jianfeng Lin Lin Li Wenli Tang Rui Wang Lin Deng Yufan Liao Bingdong Liu Yantong Cai Qianwen Wang Shuangbin Xu Guangchuang Yu Department of Bioinformatics School of Basic Medical SciencesSouthern Medical UniversityGuangzhouGuangdong 510515China Faculty of Computers Guangdong University of TechnologyGuangzhouGuangdong 510006China Ubigene Biosciences Co. Ltd.GuangzhouGuangdong 510530China State Key Laboratory of Applied Microbiology Southern China Guangdong Provincial Key Laboratory of Microbial Culture Collection and ApplicationGuangdong Open Laboratory of Applied MicrobiologyGuangdong Institute of MicrobiologyGuangdong Academy of SciencesGuangzhouGuangdong 510070China

The molecular clock model is fundamental for inferring species divergence times from molecular ***,its direct application may introduce significant biases due to sequencing errors,recombination events,and inaccurately labeled sampling *** accuracy necessitates rigorous quality control measures to identify and remove potentially erroneous ***,while not all branches of a phylogenetic tree may exhibit a clear temporal signal,specific branches may still adhere to the assumptions,with varying evolutionary *** a relaxed molecular clock model better aligns with the complexities of *** root-to-tip regression method has been widely used to analyze the temporal signal in phylogenetic studies and can be generalized for detecting other phylogenetic *** its utility,there remains a lack of corresponding software implementations for broader *** address this gap,we present shinyTempSignal,an interactive web application implemented with the shiny framework,available as an R package and publicly accessible at https://***/YuLab-SMU/*** tool facilitates the analysis of temporal and other phylogenetic signals under both strict and relaxed *** extending the root-to-tip regression method to diverse signals,shinyTempSignal helps in the detection of evolving features or traits,thereby laying the foundation for deeper insights and subsequent analyses.

关键词： Molecular clock Root-to-tip regression Temporal signal Phylogenetic signal

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Feature Selection Using Tree Model and Classification Through Convolutional Neural Network for Structural Damage Detection

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Acta Mechanica Solida Sinica 2024年第3期37卷 498-518页

作者： Zihan Jin Jiqiao Zhang Qianpeng He Silang Zhu Tianlong Ouyang Gongfa Chen School of Civil and Transportation Engineering Guangdong University of TechnologyGuangzhou510006China guangdong Tianxin Electric Power Engineering Testing Co. LtdGuangzhou510663China

Structural damage detection(SDD)remains highly challenging,due to the difficulty in selecting the optimal damage features from a vast amount of *** this study,a tree model-based method using decision tree and random forest was employed for feature selection of vibration response signals in *** datasets were obtained by numerical experiments and vibration experiments,*** features extracted using this method were input into a convolutional neural network to determine the location of structural *** indicated a 5%to 10%improvement in detection accuracy compared to using original datasets without feature selection,demonstrating the feasibility of this *** proposed method,based on tree model and classification,addresses the issue of extracting effective information from numerous vibration response signals in structural health monitoring.

关键词： Feature selection Structural damage detection Decision tree Random forest Convolutional neural network

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Migration Behavior of Impurity Iron in Silicon Melt Under Pulsed Electric Current

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Acta Metallurgica Sinica(English Letters) 2024年第5期37卷 889-903页

作者： Mengcheng Zhou Yaxiong Dai Changhao Liu Shengli Ding Xinfang Zhang School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China guangdong Zhongnan Iron&Steel Co. Ltd.Guangdong 512123China

The impurity iron in silicon material will seriously affect the photoelectric conversion efficiency of silicon solar ***,the traditional silicon purification method has the disadvantages of long cycle,high energy consumption and serious *** this study,an efficient and green pulsed electric current purification technology is *** electromigration effect of iron elements,the current density gradient driving of iron phase,and the gravity of iron phase all affect the migration behavior of iron phase in silicon melt under pulsed electric *** of the depth of electrode insertion into the silicon melt,the solubility of iron in silicon decreases under the pulsed electric current,which helps to form the iron *** the same time,the iron phase tends to sink toward the bottom under the influence of *** the electrode is shallowly inserted,a non-uniform electric field is formed in the silicon melt,and the iron phase is mainly driven by the current density gradient to accelerate sink toward the *** the electrode is fully inserted,an approximately uniform electric field is formed in the silicon melt,and iron elements are preferentially migrated to the cathode by electromigration,forming iron phase sinking at the *** study of impurity iron migration behavior in silicon melt under pulsed electric current provides a new approach for the purification of polycrystalline silicon.

关键词： Metallurgical silicon Pulsed electric current Iron-rich phase Current density gradient Electromigration

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Effects of dietary astaxanthin supplementation on growth performance, antioxidant status, immune response, and intestinal health of rainbow trout(Oncorhynchus mykiss)

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Animal Nutrition 2024年第2期17卷 387-396页

作者： Xiaoxue Meng Fumei Yang Lulu Zhu Lingli Zhan Toru Numasawa Junming Deng College of Fisheries Guangdong Ocean University Kunming Biogenic Co. Ltd.

A feeding trial was conducted to assess the impacts of dietary astaxanthin from wall-broken Haematococcus pluvialis(WBHPA) on the growth performance, antioxidant status, immune response, and intestinal health of rainbow trout(Oncorhynchus mykiss). Six experimental diets were formulated with various concentrations of WBHPA, ranging from 0 to 8.4 g/kg(containing 0 to 125 mg/kg astaxanthin). Each diet was fed to triplicate groups of rainbow trout(mean initial weight of 561 g) twice daily for 9 consecutive weeks. The survival rate and feed intake of fish exhibited no significant differences among the dietary groups(P > 0.05). Similarly, dietary inclusion of 25 to 100 mg/kg astaxanthin did not significantly affect the weight gain and daily growth coefficient(P > 0.05), but excessive inclusion of astaxanthin(125 mg/kg) slightly depressed these parameters(P < 0.05). Dietary inclusion of 25 to 50 mg/kg astaxanthin increased the activities of intestinal digestion and absorption enzymes(lipase, creatine kinase, and alkaline phosphatase), while the inclusion of 25 to 75 mg/kg astaxanthin improved the immune response of fish. Furthermore, regardless of inclusion level(25 to 125 mg/kg), dietary astaxanthin supplementation strengthened the intestinal mucosal barrier function and improved antioxidant activity,thereby promoting intestinal development. Conclusively, 25 to 75 mg/kg astaxanthin from WBHPA was recommended to be included in diets for rainbow trout.

关键词： Astaxanthin Growth Antioxidant Immune Intestinal health

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An in-situ self-etching enabled high-power electrode for aqueous zinc-ion batteries

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Journal of Energy Chemistry 2024年第1期88卷 399-408,I0009页

作者： Shuang Hou Dingtao Ma Yanyi Wang Kefeng Ouyang Sicheng Shen Hongwei Mi Lingzhi Zhao Peixin Zhang College of Chemistry and Environmental Engineering Shenzhen UniversityShenzhen 518060GuangdongChina guangdong Provincial Engineering Technology Research Center for Low Carbon and Advanced Energy Materials School of Semiconductor Science and TechnologySouth China Normal UniversityFoshan 528225GuangdongChina SCNU Qingyuan Institute of Science and Technology Innovation Co. Ltd.Qingyuan 511517GuangdongChina

Sluggish storage kinetics is considered as the main bottleneck of cathode materials for fast-charging aqueous zinc-ion batteries(AZIBs).In this report,we propose a novel in-situ self-etching strategy to unlock the Palm tree-like vanadium oxide/carbon nanofiber membrane(P-VO/C)as a robust freestanding *** investigations including the finite element simulation,in-situ X-ray diffraction,and in-situ electrochemical impedance spectroscopy disclosed it an electrochemically induced phase transformation mechanism from VO to layered Zn_(x)V_(2)O_5·nH_(2)O,as well as superior storage kinetics with ultrahigh pseudocapacitive *** demonstrated,such electrode can remain a specific capacity of 285 mA h g^(-1)after 100 cycles at 1 A g^(-1),144.4 mA h g^(-1)after 1500 cycles at 30 A g^(-1),and even 97 mA h g^(-1)after 3000 cycles at 60 A g^(-1),***,an impressive power density of 78.9 kW kg^(-1)at the super-high current density of 100 A g^(-1)also can be *** design concept of in-situ self-etching free-standing electrode can provide a brand-new insight into extending the pseudocapacitive storage limit,so as to promote the development of high-power energy storage devices including but not limited to AZIBs.

关键词： In-situ self-etching Free-standing electrode Pseudocapacitive storage High-power Zinc-ion batteries

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Anomaly Detection Algorithm of Power System Based on Graph Structure and Anomaly Attention

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Computers, Materials & Continua 2024年第4期79卷 493-507页

作者： Yifan Gao Jieming Zhang Zhanchen Chen Xianchao Chen Zhaoqing Power Supply Bureau of guangdong Power Grid Co. Ltd.Zhaoqing526060China

In this paper, we propose a novel anomaly detection method for data centers based on a combination of graphstructure and abnormal attention mechanism. The method leverages the sensor monitoring data from targetpower substations to construct multidimensional time series. These time series are subsequently transformed intograph structures, and corresponding adjacency matrices are obtained. By incorporating the adjacency matricesand additional weights associated with the graph structure, an aggregation matrix is derived. The aggregationmatrix is then fed into a pre-trained graph convolutional neural network (GCN) to extract graph structure ***, both themultidimensional time series segments and the graph structure features are inputted into a pretrainedanomaly detectionmodel, resulting in corresponding anomaly detection results that help identify abnormaldata. The anomaly detection model consists of a multi-level encoder-decoder module, wherein each level includesa transformer encoder and decoder based on correlation differences. The attention module in the encoding layeradopts an abnormal attention module with a dual-branch structure. Experimental results demonstrate that ourproposed method significantly improves the accuracy and stability of anomaly detection.

关键词： Anomaly detection transformer graph structure

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RL and AHP-Based Multi-Timescale Multi-Clock Source Time Synchronization for Distribution Power Internet of Things

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Computers, Materials & Continua 2024年第3期78卷 4453-4469页

作者： Jiangang Lu Ruifeng Zhao Zhiwen Yu Yue Dai Kaiwen Zeng Electric Power Dispatching and Control Center Guangdong Power Grid Co.Ltd.Guangzhou510600China

Time synchronization(TS)is crucial for ensuring the secure and reliable functioning of the distribution power Internet of Things(IoT).Multi-clock source time synchronization(MTS)has significant advantages of high reliability and accuracy but still faces challenges such as optimization of the multi-clock source selection and the clock source weight calculation at different timescales,and the coupling of synchronization latency jitter and pulse phase *** this paper,the multi-timescale MTS model is conducted,and the reinforcement learning(RL)and analytic hierarchy process(AHP)-based multi-timescale MTS algorithm is designed to improve the weighted summation of synchronization latency jitter standard deviation and average pulse phase ***,the multi-clock source selection is optimized based on Softmax in the large timescale,and the clock source weight calculation is optimized based on lower confidence bound-assisted AHP in the small *** shows that the proposed algorithm can effectively reduce time synchronization delay standard deviation and average pulse phase difference.

关键词： Multi-clock source time synchronization(TS) power Internet of Things reinforcement learning analytic hierarchy process

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Composition,function,and timing:exploring the early‑life gut microbiota in piglets for probiotic interventions

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Journal of Animal Science and Biotechnology 2024年第2期15卷 659-678页

作者： Jianping Quan Cineng Xu Donglin Ruan Yong Ye Yibin Qiu Jie Wu Shenping Zhou Menghao Luan Xiang Zhao Yue Chen Danyang Lin Ying Sun Jifei Yang Enqin Zheng Gengyuan Cai Zhenfang Wu Jie Yang College of Animal Science and National Engineering Research Center for Breeding Swine Industry South China Agricultural UniversityGuangzhouGuangdongPeople’s Republic of China guangdong Provincial Key Laboratory of Agro‑Animal Genomics and Molecular Breeding South China Agricultural UniversityGuangzhouGuangdongChina Yunfu Subcenter of guangdong Laboratory for Lingnan Modern Agriculture YunfuGuangdongChina National Engineering Research Center for Breeding Swine Industry Wens Foodstuff Group Co.Ltd.YunfuGuangdongPeople’s Republic of China

Background The establishment of a robust gut microbiota in piglets during their early developmental stage holds the potential for long-term advantageous ***,the optimal timeframe for introducing probiotics to achieve this outcome remains *** In the context of this investigation,we conducted a longitudinal assessment of the fecal microbiota of 63 piglets at three distinct pre-weaning time ***,we gathered vaginal and fecal samples from 23 *** 16S rRNA gene and metagenomic sequencing methodologies,we conducted a comprehensive analysis of the fluctuation patterns in microbial composition,functional capacity,interaction networks,and colonization resistance within the gut microbiota of *** the piglets progressed in age,discernible modifications in intestinal microbial diversity,composition,and function were observed.A source-tracking analysis unveiled the pivotal role of fecal and vaginal microbiota derived from sows in populating the gut microbiota of neonatal *** D21,the microbial interaction network displayed a more concise and efficient configuration,accompanied by enhanced colonization resistance relative to the other two time ***,we identified three strains of Ruminococcus *** D10 as potential candidates for improving piglets’weight gain during the weaning *** The findings of this study propose that D10 represents the most opportune juncture for the introduction of external probiotic interventions during the early stages of piglet *** investigation augments our comprehension of the microbiota dynamics in early-life of piglets and offers valuable insights for guiding forthcoming probiotic interventions.

关键词： Colonization resistance Intestinal microbiota Piglet Weaning Weight gain

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Cloud-Edge Collaborative Federated GAN Based Data Processing for IoT-Empowered Multi-Flow Integrated Energy Aggregation Dispatch

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Computers, Materials & Continua 2024年第7期80卷 973-994页

作者： Zhan Shi Electric Power Dispatching Control Center Guangdong Power Grid Co.Ltd.Guangzhou510030China

The convergence of Internet of Things(IoT),5G,and cloud collaboration offers tailored solutions to the rigorous demands of multi-flow integrated energy aggregation dispatch data *** generative adversarial networks(GANs)are instrumental in resource scheduling,their application in this domain is impeded by challenges such as convergence speed,inferior optimality searching capability,and the inability to learn from failed decision making ***,a cloud-edge collaborative federated GAN-based communication and computing resource scheduling algorithm with long-term constraint violation sensitiveness is proposed to address these *** proposed algorithm facilitates real-time,energy-efficient data processing by optimizing transmission power control,data migration,and computing resource *** employs federated learning for global parameter aggregation to enhance GAN parameter updating and dynamically adjusts GAN learning rates and global aggregation weights based on energy consumption constraint *** results indicate that the proposed algorithm effectively reduces data processing latency,energy consumption,and convergence time.

关键词： IoT federated learning generative adversarial network data processing multi-flowintegration energy aggregation dispatch

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Performance and Optimization of Air Source Heat Pump Water Heater with Cyclic Heating

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Journal of Shanghai Jiaotong university(Science) 2024年第2期29卷 179-187页

作者：李凡陆高锋丁云霄郑春元李斌翟晓强 College of Mechanical and Power Engineering Shanghai Jiao Tong UniversityShanghai 200240China guangdong Midea HVAC Equipment Co. Ltd.Foshan 528311GuangdongChina

A new type of microchannel condenser applied in the air source heat pump water heater(ASHPWH)with cyclic heating was proposed in this *** operating performance of the ASHPWH was frst ***,the structure of the microchannel condenser was optimized with the implement of vortex ***,a numerical model of the ASHPWH was established and the optimized microchannel condenser was *** experimental results showed that the average coefficient of performance(COP)of the 1HP(735 W)ASHPWH reached *** addition,the optimized microchannel condenser could be matched with a 3 HP(2430W)ASHPWH with an average heating capacity of 10.30 kW,and achieving an average COP of 4.24,14.6%higher than the limit value in the national standard.

关键词： air source heat pump water heater(ASHPWH) cyclic heating microchannel condenser

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