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Petroleum Science 2024年第3期21卷 1683-1698页

作者： Bogdan Sebacher remus Hanea Department of Applied Informatics Military Technical Academy“Ferdinand I”Bucharest 050141Romania Equinor Sandslivegen 905254 SandsliBergenNorway

The facies distribution of a reservoir is one of the biggest concerns for geologists,geophysicists,reservoir modelers,and reservoir engineers due to its high importance in the setting of any reliable decisionmaking/optimization of field development *** approach for parameterizing the facies distribution as a random variable comes naturally through using the probability *** the prior probability fields of facies come either from a seismic inversion or from other sources of geologic information,they are not conditioned to the data observed from the cores extracted from the *** paper presents a regularized element-free Galerkin(R-EFG)method for conditioning facies probability fields to facies *** conditioned probability fields respect all the conditions of the probability theory(*** the values are between 0 and 1,and the sum of all fields is a uniform field of 1).This property achieves by an optimization procedure under equality and inequality constraints with the gradient projection *** conditioned probability fields are further used as the input in the adaptive pluri-Gaussian simulation(APS)methodology and coupled with the ensemble smoother with multiple data assimilation(ES-MDA)for estimation and uncertainty quantification of the facies *** history-matching of the facies models shows a good estimation and uncertainty quantification of facies distribution,a good data match and prediction capabilities.

关键词： Element free Galerkin(EFG) Adaptive pluri-Gaussian simulation(APS) Facies distribution estimation Ensemble smoother with multipledata assimilation(ESMDA)

Alternating current heating techniques for lithium-ion batteries in electric vehicles:Recent advances and perspectives

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Journal of Energy Chemistry 2024年第9期96卷 679-697页

作者： Xinrong Huang Jinhao Meng Wei Jiang Wenjie Liu Kailong Liu Yipu Zhang Daniel-Ioan Stroe remus Teodorescu School of Energy and Electrical Engineering Chang’an UniversityXi’an 710018ShaanxiChina School of Electrical Engineering Xi’an Jiaotong UniversityXi’an 710049ShaanxiChina School of Highway Chang’an UniversityXi’an 710018ShaanxiChina School of Automation Northwestern Polytechnical UniversityXi’an 710072ShaanxiChina School of Control Science and Engineering Shandong UniversityJinan 250100ShandongChina Department of Energy Aalborg UniversityAalborg 9220Denmark

The significant decrease in battery performance at low temperatures is one of the critical challenges that electric vehicles(EVs)face,thereby affecting the penetration rate in cold *** current(AC)heating has attracted widespread attention due to its low energy consumption and uniform heating *** paper introduces the recent advances in AC heating from the perspective of practical EV ***,the performance degradation of EVs in low-temperature environments is introduced *** concept of AC heating and its research methods are ***,the effects of various AC heating methods on battery heating performance are *** on existing studies,the main factors that affect AC heating performance are ***,various heating circuits based on EVs are categorized,and their cost,size,complexity,efficiency,reliability,and heating rate are elaborated and *** evolution of AC heaters is presented,and the heaters used in brand vehicles are sorted ***,the perspectives and challenges of AC heating are *** paper can guide the selection of heater implementation methods and the optimization of heating effects for future EV applications.

关键词： Lithium-ion battery Low temperature Alternating current heating Heater Electric vehicle

Bridging the gap:Unveiling the crisis of physical inactivity in inflammatory bowel diseases

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World Journal of Gastroenterology 2024年第10期30卷 1261-1265页

作者： remus Stafie Ana-Maria Singeap Adrian Rotaru Carol Stanciu Anca Trifan Department of Gastroenterology Faculty of Medicine“Grigore T.Popa”University of Medicine and PharmacyIasi 700115Romania Institute of Gastroenterology and Hepatology “St.Spiridon”University HospitalIasi 700111Romania

In this editorial we comment on the article titled“Inflammatory bowel diseases patients suffer from significant low levels and barriers to physical activity:The BE-FIT-IBD study”published in a recent issue of the World Journal of Gastroen-terology 2023;29(41):*** bowel diseases(IBD)are emerging as a significant global health concern as their incidence continues to rise on a global scale,with detrimental impacts on quality of *** many advances have been made regarding the management of the disease,physical inactivity in these patients represents an underexplored issue that may hold the key for further and better understanding the ramifications of *** pain,fatigue,and fear of exacerbating symptoms promotes physical inactivity among IBD patients,while the lack of clear guidelines on safe exercise regimens contributes to a norm of physical *** activity(PA)is accepted to have a positive effect on disease outcomes and quality of life,while inactivity exacerbates comorbidities like cardiovascular disease and mental health ***“BE-FIT-IBD”study,focusing on PA levels and barriers in IBD patients of Southern Italy,revealed that a significant proportion(42.9%)were physically *** lack of PA is attributed to barriers such as fear of flare-ups and misconceptions about exercise exacerbating the *** study also highlighted the need for better communication between healthcare providers and patients regarding the benefits of PA and safe incorporation into ***,physical inactivity may also contribute to disability in IBD patients,having a great impact on employment *** note is the fact that IBD also comes with an important psychological burden with relevant evidence suggesting that regular PA can improve mood,reduce anxiety,and enhance mental ***“BE-FIT-IBD”study advocated for the integration of PA into IBD management,emphasizing the bidirectional link between PA and *** exe

关键词： Inflammatory bowel disease Physical activity Disability Psychological burden Body composition Quality of life

Sinogenic Subdural Empyema in a Ten-Year-Old Boy with Sickle Cell Anemia

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Open Journal of Modern Neurosurgery 2013年第4期3卷 53-58页

作者： Ulf Nestler Daniel Memia-Zolo Nidal Salloum Mehdi Mejdoubi Francois Lengelle Raoul Santiago William Cecile remus stegaru Norbert Manzo Department of Neurosurgery Centre Hospitalier Universitaire of Fort de FranceFort-de-FranceFrench West Indies Department of Neurosurgery University Clinic LeipzigLeipzigGermany Department of Radiology Centre Hospitalier Universitaire of Fort de FranceFort-de-FranceFrench West Indies Department of Anesthesiology Centre Hospitalier Universitaire of Fort de FranceFort-de-FranceFrench West Indies Department of Pediatrics Centre Hospitalier Universitaire of Fort de FranceFort-de-FranceFrench West Indies Department of Oto-Rhino-Laryngology Centre Hospitalier Universitaire of Fort de FranceFort-de-FranceFrench West Indies

Objective: Sinogenic subdural empyema remains a neurosurgical emergency, even in the antibiotic era. Sickle cell disease is one of the most frequent hereditary diseases, with an incidence of around 4 in 1000 newborns, which necessitates special considerations before a neurosurgical intervention. Case Description: The case of a 10-year-old boy with sickle cell disease type HbSC is reported, who presented with meningitis about ten days after a nasal sinusitis. CT and MRI showed subdural empyema and immediate intravenous antibiotic treatment was started. The patient received partial exchange transfusion. Craniotomy allowed evacuation of empyema and repairment of a frontobasal dural defect. Endoscopic evacuation of the paranasal sinuses was done in the same anesthesia. After initial good recovery, the patient developed right sided paresis with epileptic seizures a few days later. CT scan revealed three distant empyema recurrencies which were evacuated in a second neurosurgical intervention. The child recovered without neurologic deficit, and control MRI examinations three and twelve months after surgery found frontal and parietal dural thickening as sequelae. Conclusion: Urgent neurosurgical interventions in the presence of sickle cell anemia require special anesthesiologic preparations. An immediate, multidisciplinary approach can lead to a good outcome in these life-threatening situations.

关键词： Nasal Sinusitis Sickle Cell Anemia Streptococcus Pneumoniae Subdural Empyema

Predicting major adverse cardiovascular events after orthotopic liver transplantation using a supervised machine learning model:A cohort study

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World Journal of Hepatology 2024年第2期16卷 193-210页

作者： Jonathan Soldera Leandro Luis Corso Matheus Machado Rech Vinícius remus Ballotin Lucas Goldmann Bigarella Fernanda Tomé Nathalia Moraes Rafael Sartori Balbinot Santiago Rodriguez Ajacio Bandeira de Mello Brandão Bruno Hochhegger Post Graduate Program at Acute Medicine and Gastroenterology University of South WalesCardiff CF371DLUnited Kingdom Postgraduate Program in Pathology Federal University of Health Sciences of Porto Alegre(UFCSPA)Porto Alegre 90050-170Brazil Department of Engineering Universidade de Caxias do SulCaxias do Sul 95070-560Brazil School of Medicine Universidade de Caxias do SulCaxias do Sul 95070-560Brazil Postgraduate Program in Hepatology Federal University of Health Sciences of Porto Alegre(UFCSPA)Porto Alegre 90050-170Brazil

BACKGROUND Liver transplant(LT)patients have become older and *** rate of post-LT major adverse cardiovascular events(MACE)has increased,and this in turn raises 30-d post-LT *** cardiac stress testing loses accuracy when applied to pre-LT cirrhotic *** To assess the feasibility and accuracy of a machine learning model used to predict post-LT MACE in a regional *** This retrospective cohort study involved 575 LT patients from a Southern Brazilian academic *** developed a predictive model for post-LT MACE(defined as a composite outcome of stroke,new-onset heart failure,severe arrhythmia,and myocardial infarction)using the extreme gradient boosting(XGBoost)machine learning *** addressed missing data(below 20%)for relevant variables using the k-nearest neighbor imputation method,calculating the mean from the ten nearest neighbors for each *** modeling dataset included 83 features,encompassing patient and laboratory data,cirrhosis complications,and pre-LT cardiac *** performance was assessed using the area under the receiver operating characteristic curve(AUROC).We also employed Shapley additive explanations(SHAP)to interpret feature *** dataset was split into training(75%)and testing(25%)*** was evaluated using the Brier *** followed Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis guidelines for ***-learn and SHAP in Python 3 were used for all *** supplementary material includes code for model development and a user-friendly online MACE prediction *** Of the 537 included patients,23(4.46%)developed in-hospital MACE,with a mean age at transplantation of 52.9 *** majority,66.1%,were *** XGBoost model achieved an impressive AUROC of 0.89 during the training *** model exhibited accuracy,precision,recall,and F1-score values of 0.84,0.85,0.80,and 0.79,***

关键词： Liver transplantation Major adverse cardiac events Machine learning Myocardial perfusion imaging Stress test

减少营养损失和提高生长猪可持续性的饲养策略

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国外畜牧学（猪与禽） 2024年第2期44卷 1-11页

作者：孙丹彤(译) 王祎汀(校) 张配配(复校) 孟祥光(制图表) Candido Pomar Ines Andretta Aline remus 不详

多年来,利用营养物质养猪的效率有所提高。给猪饲喂能够满足其估算营养需要的饲料可以提高营养物质的利用率,利用率的提高相当于增加养猪生产的经济收益,同时最大限度地改善环境的影响。撰写本文的目的是回顾不同的日粮配伍法对动物营... 详细信息

多年来,利用营养物质养猪的效率有所提高。给猪饲喂能够满足其估算营养需要的饲料可以提高营养物质的利用率,利用率的提高相当于增加养猪生产的经济收益,同时最大限度地改善环境的影响。撰写本文的目的是回顾不同的日粮配伍法对动物营养物质利用率的影响,这些方法能向畜禽提供能够满足其所需营养水平的日粮,同时又能最大限度地减少营养物质的排泄量和温室气体的排放量。调整日粮配方来降低日粮中粗蛋白含量,可帮助畜禽最大限度利用日粮中氮和能量。减少动物生产碳足迹的重要技术是使用养殖场所在地的饲料原料和非人类食用产品(如菜籽粕),并在日粮中添加合成氨基酸。精准的饲喂和营养供给不仅可以通过每天定制畜禽所需的日粮,最大限度地提高动物对营养物质的利用率,还可以降低饲料成本,并提高日粮中氮的利用率。我们利用数学模型研究了减少日粮中粗蛋白水平对氮和能量利用率的影响。与不添加合成氨基酸的对照日粮相比,使用粗蛋白含量减少8%的试验日粮,可使氮利用率提高54%,同时使饲料成本降低11%。由于减少了由蛋白质脱氨基作用引发的能量损失,日粮中粗蛋白含量的同步减少意味着可利用能量有了较大的提高。与对照日粮相比,猪饲喂低蛋白日粮后,通过尿液和后肠发酵引发的能量损失降低了24%。与群体(group phase)饲喂相比,精准的饲喂和营养供给可以使畜禽减少30%的氮排泄量。用低蛋白日粮和精准饲喂技术可使养猪绩效具有相加性,产生61%的氮利用率。猪营养需要量的估算方法还有改进的空间。提高不同个体之间存在营养利用差异的认识,有助于进一步改善养猪生产对环境的影响。

关键词：低蛋白日粮可持续养猪生产精准饲喂精准营养营养物质利用营养物质利用率

Boosting battery state of health estimation based on self-supervised learning

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Journal of Energy Chemistry 2023年第9期84卷 335-346页

作者： Yunhong Che Yusheng Zheng Xin Sui remus Teodorescu Department of Energy Aalborg UniversityAalborg 9220Denmark

State of health(SoH) estimation plays a key role in smart battery health prognostic and ***,poor generalization,lack of labeled data,and unused measurements during aging are still major challenges to accurate SoH *** this end,this paper proposes a self-supervised learning framework to boost the performance of battery SoH *** from traditional data-driven methods which rely on a considerable training dataset obtained from numerous battery cells,the proposed method achieves accurate and robust estimations using limited labeled data.A filter-based data preprocessing technique,which enables the extraction of partial capacity-voltage curves under dynamic charging profiles,is applied at *** learning is then used to learn the aging characteristics from the unlabeled data through an *** learned network parameters are transferred to the downstream SoH estimation task and are fine-tuned with very few sparsely labeled data,which boosts the performance of the estimation *** proposed method has been validated under different battery chemistries,formats,operating conditions,and *** estimation accuracy can be guaranteed by using only three labeled data from the initial 20% life cycles,with overall errors less than 1.14% and error distribution of all testing scenarios maintaining less than 4%,and robustness increases with *** with other pure supervised machine learning methods demonstrate the superiority of the proposed *** simple and data-efficient estimation framework is promising in real-world applications under a variety of scenarios.

关键词： Lithium-ion battery State of health Battery aging Self-supervised learning Prognostics and health management Data-driven estimation

Towards Long Lifetime Battery:AI-Based Manufacturing and Management

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IEEE/CAA Journal of Automatica Sinica 2022年第7期9卷 1139-1165页

作者： Kailong Liu Zhongbao Wei Chenghui Zhang Yunlong Shang remus Teodorescu Qing-Long Han Warwick Manufacturing Group University of WarwickCoventry CV47ALUnited Kingdom National Engineering Laboratory for Electric Vehicles School of Mechanical EngineeringBeijing Institute of TechnologyBeijing 100081China School of Control Science and Engineering Shandong UniversityJinan 250061China Department of Energy Technology Aalborg UniversityAalborg 9220Denmark School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia IEEE

Technologies that accelerate the delivery of reliable battery-based energy storage will not only contribute to decarbonization such as transportation electrification,smart grid,but also strengthen the battery supply *** battery inevitably ages with time,losing its capacity to store charge and deliver it *** directly affects battery safety and efficiency,making related health management *** advancements in automation science and engineering raised interest in AI-based solutions to prolong battery lifetime from both manufacturing and management *** paper aims at presenting a critical review of the state-of-the-art AI-based manufacturing and management strategies towards long lifetime ***,AI-based battery manufacturing and smart battery to benefit battery health are *** the most adopted AI solutions for battery life diagnostic including state-of-health estimation and ageing prediction are reviewed with a discussion of their advantages and *** through designing suitable AI solutions to enhance battery longevity are also ***,the main challenges involved and potential strategies in this field are *** work will inform insights into the feasible,advanced AI for the health-conscious manufacturing,control and optimization of battery on different technology readiness levels.

关键词： Artificial intelligence battery health management battery life diagnostic battery manufacturing smart battery

Knowledge-Guided Data-Driven Model With Transfer Concept for Battery Calendar Ageing Trajectory Prediction

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IEEE/CAA Journal of Automatica Sinica 2023年第1期10卷 272-274页

作者： Kailong Liu Qiao Peng remus Teodorescu Aoife M.Foley IEEE the Warwick Manufacturing Group University of WarwickCoventry CV47ALUK the School of Control Science and Engineering Shandong UniversityChina the Queen’s University Belfast Belfast BT71NNUK the Department of Energy Technology Aalborg UniversityAalborg 9220Denmark

Dear Editor, Lithium-ion(Li-ion) battery has become a promising source to supply and absorb energy/power for many energy-transportation applications. However, Li-ion battery capacity would inevitably degrade over time... 详细信息

关键词： battery Battery Calendar

An Enhanced Data-Driven Model for Lithium-Ion Battery State-of-Health Estimation with Optimized Features and Prior Knowledge

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Automotive Innovation 2022年第2期5卷 134-145页

作者： Huanyang Huang Jinhao Meng Yuhong Wang Lei Cai Jichang Peng Ji Wu Qian Xiao Tianqi Liu remus Teodorescu College of Electrical Engineering Sichuan UniversityChengduChina Faculty of Computer Science and Engineering Shanxi Key Laboratory for Network Computing and Security TechnologyXi’an University of TechnologyXi’anChina Smart Grid Research Institute Nanjing Institute of TechnologyNanjingChina Department of Automation University of Science and Technology of ChinaHefeiChina Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjinChina Department of Energy Technology Aalborg University9220 AalborgDenmark

In the long-term prediction of battery degradation,the data-driven method has great potential with historical data recorded by the battery management *** paper proposes an enhanced data-driven model for Lithium-ion(Li-ion)battery state of health(SOH)estimation with a superior modeling procedure and optimized *** Gaussian process regression(GPR)method is adopted to establish the data-driven estimator,which enables Li-ion battery SOH estimation with the uncertainty level.A novel kernel function,with the prior knowledge of Li-ion battery degradation,is then introduced to improve the mod-eling capability of the *** for the features,a two-stage processing structure is proposed to find a suitable partial charging voltage profile with high *** the first stage,an optimal partial charging voltage is selected by the grid search;while in the second stage,the principal component analysis is conducted to increase both estimation accuracy and computing *** of the proposed method are validated on two datasets from different Li-ion batteries:Compared with other methods,the proposed method can achieve the same accuracy level in the Oxford dataset;while in Maryland dataset,the mean absolute error,the root-mean-squared error,and the maximum error are at least improved by 16.36%,32.43%,and 45.46%,respectively.

关键词： Li-ion battery State of health Gaussian process regression Kernel function Feature optimization