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作者： Liu, Shengwei Zhao, Tianyang Liu, Xuan Li, Yuanzheng Wang, Peng Energy and Electricity Research Center Jinan University Zhuhai China School of Artificial Intelligence and Automation Ministry of Education Key Laboratory of Image Processing and Intelligence Control Huazhong University of Science and Technology Wuhan China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore

To enhance the resilience of power systems toward the temporal and spatial impacts caused by extreme weather events, e.g., hurricanes, the flexibility of cloud data centers (CDCs) is treated as a kind of efficient demand response. Since the workloads of CDCs have the shifting capacity between different locations and time slots, a day-ahead unit commitment problem including data centers is proposed to explore the integrated spatial and temporal flexibility of the workloads to its full extent through task migration. Considering the uncertainty of probability density functions, the line failure rates, workload arrival rates, power loads are integrated into an ambiguity set. The scheduling process of generators and CDCs is modeled as a two-stage distributionally robust optimization problem, which is reformulated as a large-scale deterministic mixed-integer linear programming problem and solved by the multicuts Benders decomposition method. The performance of the proposed scheduling strategy is tested in both the IEEE 24-bus RTS system and the three-area RTS-96 system. The results reveal that the method could mitigate the adverse impacts of hurricanes by enhancing the resilience of power systems and decreasing the dropping workloads of CDCs. © 1972-2012 IEEE.

关键词： Hurricanes

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Abdominal Obesity and Its Attribution to All-cause Mortality in the General Population with 14 Years Follow-up:Findings from Shanxi Cohort in China

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Biomedical and Environmental sciences 2020年第4期33卷 227-237页

作者： ZHAI Yi REN Ze Ping ZHANG Mei ZHANG Jian JIANG Yong MI Sheng Quan WANG Zhuo Qun ZHAO Yan Fang SONG Peng Kun YIN Zhao Xue ZHAO Wen Hua Beijing Tian Tan Hospital Capital Medical UniversityChina National Clinical Research Center for Neurological DiseasesBeijing 100070China Division for Non-Communicable Disease Control Shanxi Provincial Center for Disease Control and PreventionTaiyuan 030012ShanxiChina National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and PreventionBeijing 100050China National Institute for Nutrition and Health Chinese Center for Disease Control and PreventionBeijing 100050China Food Science Department College of Biochemical EngineeringBeijing Union UniversityBeijing 100023China Division of Non-communicable Disease Control and Ageing Health Chinese Center for Disease Control and PreventionBeijing 102206China

Objective This study aimed to assess the association of waist circumference(WC)with all-cause mortality among Chinese *** The baseline data were from Shanxi Province of 2002 China Nutrition and Health *** death investigation and follow-up visit were conducted from December 2015 to March *** visits covered up to 5,360 of 7,007 participants,representing a response rate of 76.5%.The Cox regression model and floating absolute risk were used to estimate hazard ratio and 95%floating CI of death by gender and age groups(≥60 and<60 years old).Sensitivity analysis was performed by excluding current smokers;participants with stroke,hypertension,and diabetes;participants who accidentally died;and participants who died during the first 2 years of *** This study followed 67,129 person-years for 12.5 years on average,including 615 *** mortality density was 916 per 100,000 *** WC was associated with all-cause mortality among ***-adjusted hazard ratios(HR)were 1.60(1.35–1.90)for WC<75.0 cm and 1.40(1.11–1.76)for WC ranging from 75.0 cm to 79.9 *** WC(<70.0 cm and 70.0–74.9 cm)and high WC(≥95.0 cm)groups had a high risk of mortality among *** adjusted HRs of death were 1.43(1.11–1.83),1.39(1.05–1.84),and 1.91(1.13–3.22).Conclusion WC was an important predictor of death independent of body mass index(BMI).WC should be used as a simple rapid screening and predictive indicator of the risk of death.

关键词： Waist circumference All-cause mortality Cohort study

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Aluminum substitution stabilizes organic matter in ferrihydrite transforming into hematite: A molecular analysis

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science of the Total Environment 2024年 945卷 174035页

作者： Fan, Yuke Chi, Jialin Wang, Lijun Jia, Chonghao Zhang, Wenjun College of Resources and Environment Huazhong Agricultural University Wuhan430070 China National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management Institute of Eco-environmental and Soil Sciences Guangdong Academy of Sciences Guangzhou510650 China

The association of soil organic matter (SOM) with iron (Fe) oxyhydroxides, particularly ferrihydrite, plays a pivotal role in the biogeochemical cycling of carbon (C) in both terrestrial and aquatic environment. The aging of ferrihydrite to more crystalline phases can impact the stability of associated organic C, a process potentially influenced by aluminum (Al) substitution due to its abundance. However, the molecular mechanisms governing the temporal and spatial distribution of SOM during the aging process of Al-substituted Fe oxyhydroxides remain unclear. This study aims to bridge this knowledge gap through a comprehensive approach, utilizing batch experiments, solid characterization techniques, and atomic force microscopy (AFM) based peak-force quantitative nanomechanical mapping (PF-QNM). Batch experiments revealed that humic acid (HA) was released into the aqueous phase during aging, with Al inhibiting this release. Various solid characterization methods collectively suggested that Al hindered the crystalline transformation of ferrihydrite and significantly preserved HA on the surface of newly formed hematite, rather than it being occluded within the interior of the new minerals. Results from 3-Dimensional fluorescence spectroscopy (3D-EEM) and Fourier-transform infrared spectroscopy (FTIR) indicated that the structure of HA remained constant, with the carboxyl-rich and hydroxyl-rich portions of HA fixed at the mineral interface during the aging period. Furthermore, we developed AFM-based PF-QNM to both quantify and visualize the interactions between Fe oxyhydroxides and HA, demonstrating variations in HA affinity among different Fe oxyhydroxides and highlighting the influence of the Al substitution rate. © 2024

关键词： Hematite

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An adjusted ELISpot-based immunoassay for evaluation of SARS-CoV-2-specific T-cell responses

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Biosafety and Health 2022年第3期4卷 179-185页

作者： Hao Lin Jie Zhang Shaobo Dong Yaning Liu Peipei Liu George F.Gao William J.Liu Guizhen Wu National Health Commission Key Laboratory of Biosafety Research Units of Adaptive Evolution and Control of Emerging VirusesChinese Academy of Medical SciencesNational Institute for Viral Disease Control and PreventionChinese Center for Disease Control and Prevention(China CDC)Beijing 102206China Macheng Center for Disease Control and Prevention Huanggang 438300China Center for Biosafety Mega-Science Chinese Academy of SciencesWuhan 430071China

Like antibody evaluation,using an effective antigen‐specific T‐cell immunity assessment method in coronavirus disease 2019(COVID‐19)patients,survivors and vaccinees is crucial for understanding the immune persistence,prognosis assessment,and vaccine development for COVID‐*** study evaluated an empirically adjusted enzyme‐linked immunospot assay for detecting severe acute respiratory syndrome coronavirus 2(SARS‐CoV‐2)‐specific T‐cell immunity in 175 peripheral blood samples from COVID‐19 convalescents and healthy *** of viral nucleic acid were used as the gold standard of infection *** SARS‐CoV‐2M peptide pool had higher sensitivity of 85%and specificity of 71%for the single peptide *** combined peptide pools,the parallel evaluation(at least one of the peptide pools is positive)of total peptide pools(S1&S2&M&N)had higher sensitivity(up to 93%),and the serial evaluation(all peptide pools are positive)of total peptide pools had higher specificity(up to 100%).The result of the serial evaluation was better than that of the parallel evaluation as a *** detection efficiency of M and N peptide pool serial evaluation appeared the highest,with a sensitivity of 80%and specificity of 93%.This T‐cell immunity detection assay introduced in this report can achieve high operability and ***,it can be an effective SARS‐CoV‐2‐specific cellular immune function evaluation method.

关键词： SARS‐CoV‐2 COVID‐19 T‐cell response ELISpot assay Sensitivity Specificity

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Determining the Optimal Duration of Effective Sieving Time Based on Sieve Characteristic of Coal Particle

SSRN

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SSRN 2024年

作者： Liu, Qingquan Lu, Xiaodong Xu, Zhenguo Liu, Yuanyuan Xu, Xudong Wang, Liang Cheng, Yuanping Key Laboratory of Coal Methane and Fire Control Ministry of Education China University of Mining & Technology Xuzhou221116 China National Engineering Research Center for Coal Gas Control China University of Mining & Technology Xuzhou221116 China State Key Laboratory of Coal Mine Disaster Prevention and Control China University of Mining & Technology Xuzhou221116 China

Sieving is a continuous process for obtaining particles of specific size. Currently, most studies predominantly focus on the final sieving results, with sieving productivity being the most commonly utilized metric. A shorter duration of sieving time is associated with lower sieving productivity. Theoretically, as long as the sieving time is continuously prolonged, there is a potential for improving sieving productivity. However, excessive prolongation of sieving time can result in other effects, such as particle abrasion. Therefore, in engineering and scientific research, it's important to determine the optimal duration of sieving time. This paper addresses this concern by conducting both single-factor and orthogonal experiments using a single sieve. The sieving productivity is examined first, and then the average sieving rate is used to determine the effective sieving time under different conditions. The study investigates the effect of three factors - rotation speed, adding mass, and sieve size - on sieving productivity through 57 groups of experiments. When it comes to rotation speed, a higher speed means a shorter effective sieving time. However, once the rotation speed reaches a certain level, the effective sieving time stabilizes. The effective sieving time for speed level above 6 is almost identical to that for speed level of 6, which is approximately 3 minutes. As for adding mass, the effective sieving time increases with the rise in adding mass at the 4th level of speed. However, as the rotation speed increases based on the 4th level of speed, the impact of adding mass on the effective sieving time diminishes. Specifically, for the 6th level of speed, the effective sieving time under different adding mass remains approximately 4 minutes. Under sieve size, at the 6th level of speed, a smaller sieve size leads to longer effective sieving time. Additionally, as the feed mass increases, the difference in time becomes more noticeable. When determining the effect

关键词： Sieves

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Resilience Enhancement for Transmission Lines Under Decision-Dependent Uncertainty 42

Resilience Enhancement for Transmission Lines Under Decision...

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42nd Chinese control Conference, CCC 2023

作者： Liu, Xinghua Yang, Xiang Sun, Yuzhen Zhao, Tianyang Wang, Peng Xi'an University of Technology Department of Power Grid Information and Control Engineering Xi'an710054 China State Grid Linshu County Power Supply Company of Shandong Province Linshu276700 China Energy and Electric Research Center Jinan University Zhuhai519070 China School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore

ISBN: (纸本)9789887581543

Reinforcement of transmission lines before natural disasters such as typhoons is an effective measure to ensure that the power system can operate safely in face of extreme weather. To enhance the grid resilience, the uncertain problem is formulated as a two-stage robust optimization (TRO) problem for the resilient unit commitment. The exogenous uncertain polyhedral model does not address the coupling problem of typhoon hazard, reinforcement decision and transmission lines state, for which an decision-dependent uncertainty (DDU) set is constructed in this paper. Because the two-stage robust optimization problem based on decision-dependent uncertainty sets cannot be solved by the traditional column and constraint generation (C&CG) algorithm, a novel iterative algorithm based on the C&CG is invoked in this paper, in which advanced optimality cuts and feasibility cuts are designed to combine the uncertainty decision coupling. Lastly, the IEEE-5 bus test system is simulated under the influence of a typhoon to verify the effectiveness of the proposed method. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Electric lines

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Optimizing Plant Process by Adding Soft Sensors

Optimizing Plant Process by Adding Soft Sensors

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Nayef Salman Al-Dossary Mohammed Aldahlan Abdul-Wahid A. Saif Control and Instrumentation Engineering Department Interdisciplinary Research Center for Smart Mobility and Logistics King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia

Process optimization cannot be done without continuous process measure and increasing plant margin cannot be done without continuous process optimization. Normally, products are kept within the specifications by using online monitoring or some time using laboratory off-line sampling. The second method practice has a huge time delay between process monitoring and control which add more challenges for process optimization. This work aims to come up with cost-effective solution to measure and predict the physical properties of distillate column in Ethylene Oxide (EO) plant, continuously, without having any additional on-line stream analyzers. Here, we apply soft sensors model to provide process optimization solution. The model output can be integrated with a Distributed control System (DCS) or Model Predictive control (MPC) system to minimize product giveaway and energy consumption. In this work, we will collect actual plant dataset and conduct the required training to come with the right model to be used for future predication to monitor plant process without any additional hardware and we will show the process of applying soft sensor. One of Artificial Intelligent solution is applying a neural network. Various structures of neural networks with different numbers of neurons in each hidden layer were created and assessed for their performance on the estimation of product composition in the distillate stream. Other solution of Artificial Intelligent is using regression model (Ordinary Least Squares OLS, Weighted Least Squares - WLS and Partial Least Squares PLS) based on soft sensor for online measurement which were developed in this work. The performance for each developed method was tested on the estimation of Ethylene Oxide composition in the distillate stream. The simulation results showed that the neural network has most accurate prediction. So, it will be the best choice to use for EO composition prediction, however, due to company recourses and restriction we hav

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Achievements,challenges and global implications of China’s carbon neutral pledge

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Frontiers of Environmental science & engineering 2022年第8期16卷 285-288页

作者： Hong Yang Xianjin Huang Jianlin Hu Julian R.Thompson Roger J.Flower Department of Geography and Environmental Science University of ReadingReading RG66ABUK School of Geography and Ocean Science Nanjing UniversityNanjing 210023China Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control(AEMPC)School of Environmental Science and EngineeringNanjing University of Information Science&TechnologyNanjing 210044China Department of Geography University College LondonLondon WC1E 6BTUK

China has been committed to achieving carbon neutrality by ***’s pledge of carbon neutrality will play an essential role in galvanising global climate action,which has been largely deferred by the Covid-19 ***’s carbon neutrality could reduce global warming by approximately 0.2–0.3°C and save around 1.8 million people from premature death due to air *** with domestic benefits,China’s pledge of carbon neutrality is a“game-changer”for global climate action and can inspire other large carbon emitters to contribute actively to mitigate carbon emissions,particularly countries along the Belt and Road Initiative(BRI)*** order to achieve carbon neutrality by 2060,it is necessary to decarbonise all sectors in China,including energy,industry,transportation,construction,and ***,this transition will be very challenging,because major technological breakthroughs and large-scale investments are *** policies and implementation plans are essential,including sustainable demand,decarbonizing electricity,electrification,fuel switching,and negative *** particular,if China can peak carbon emissions earlier,it can lower the costs of the carbon neutral transition and make it easier to do so over a longer time ***’s pledge of carbon neutrality by 2060 and recent pledges at the 26th UN Climate Change Conference of the Parties(COP26)are significant contributions and critical steps for global climate ***,countries worldwide need to achieve carbon neutrality to keep the global temperature from growing beyond the level that will cause catastrophic damages globally.

关键词： Carbon neutrality Carbon peak Renewable energy Negative emission Carbon capture Utilisation and storage Nature-based solution

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Nationwide survey of ticks on domesticated animals in Taiwan: Revealing the hidden threat to animal and public health

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Medical and Veterinary Entomology 2024年第1期38卷 99-107页

作者： Liao, Jhih-Rong Liao, Yi-Hao Liao, Kuei-Min Wu, Huai-Hui Tu, Wu-Chun Lin, Ying-Hsi Systematic Zoology Laboratory Department of Biological Sciences Tokyo Metropolitan University Tokyo Japan Department of Medical Laboratory Science and Biotechnology Yuanpei University of Medical Technology Hsinchu Taiwan National Mosquito-Borne Diseases Control Research Center National Health Research Institutes Tainan Taiwan Department of Biotechnology Tajen University Yanpu Township Taiwan Department of Entomology National Chung Hsing University Taichung Taiwan School of Life Sciences and Technology Bandung Institute of Technology Bandung Indonesia

Ticks are not only bloodsucking ectoparasites but also important vectors of tick-borne diseases (TBDs), posing significant threats to public and animal health. Domesticated animals serve as critical hosts for numerous ticks, highlighting the importance of understanding tick infestations in Taiwan. To address this knowledge gap, we conducted a nationwide survey to identify ticks on domesticated animals and associated environments in 2018 and 2019. A total of 6,205 ticks were collected from 1,337 host animals, revealing the presence of seven tick species, with Rhipicephalus microplus, and Rhipicephalus sanguineus being the dominant species. High infestation rates and widespread distribution of ticks were observed on domesticated animals, especially on dogs and cattle (yellow cattle and angus cattle), and the neighbouring grassland of yellow cattle. While this study has certain limitations, it provides valuable insights into the distribution and prevalence of ticks on domesticated animals in Taiwan and their implications for controlling TBDs. Further research is needed to comprehensively understand the complex interactions among ticks, hosts and pathogens. © 2023 Royal Entomological Society.

关键词： domesticated animals nationwide investigation tick surveillance vector control zoonotic diseases

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Robust Divergence Learning for Missing-Modality Segmentation

Robust Divergence Learning for Missing-Modality Segmentation

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Chinese Automation Congress (CAC)

作者： Runze Cheng Zhongao Sun Ye Zhang Chun Li MSU-BIT-SMBU Joint Research Center of Applied Mathematics Shenzhen MSU-BIT University Shenzhen China Institute of Control Theory and Control Engineering School of Automation Beijing Institute of Technology Beijing China School of Mathematics and Statistics Beijing Institute of Technology Beijing China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

Multimodal Magnetic Resonance Imaging (MRI) provides essential complementary information for analyzing brain tumor subregions. While methods using four common MRI modalities for automatic segmentation have shown success, they often face challenges with missing modalities due to image quality issues, inconsistent protocols, allergic reactions, or cost factors. Thus, developing a segmentation paradigm that handles missing modalities is clinically valuable. A novel single-modality parallel processing network framework based on Hölder divergence and mutual information is introduced. Each modality is independently input into a shared network backbone for parallel processing, preserving unique information. Additionally, a dynamic sharing framework is introduced that adjusts network parameters based on modality availability. A Hölder divergence and mutual information-based loss functions are used for evaluating discrepancies between predictions and labels. Extensive testing on the BraTS 2018 and BraTS 2020 datasets demonstrates that our method outperforms existing techniques in handling missing modalities and validates each component's effectiveness.

关键词： Image segmentation Three-dimensional displays Protocols Magnetic resonance imaging Brain tumors Parallel processing Brain modeling Mutual information Knowledge transfer Testing

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