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Language Education Optimization: A New Human-Based Metaheuristic Algorithm for Solving Optimization Problems

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Computer Modeling in Engineering & Sciences 2023年第8期136卷 1527-1573页

作者： pavel Trojovsky Mohammad Dehghani Eva Trojovská Eva Milkova Department of Mathematics Faculty of ScienceUniversity of Hradec KrálovéHradec Králové50003Czech Republic Department of Applied Cybernetics Faculty of ScienceUniversity of Hradec KrálovéHradec Králové50003Czech Republic

In this paper,based on the concept of the NFL theorem,that there is no unique algorithm that has the best performance for all optimization problems,a new human-based metaheuristic algorithm called Language Education Optimization(LEO)is introduced,which is used to solve optimization *** is inspired by the foreign language education process in which a language teacher trains the students of language schools in the desired language skills and *** is mathematically modeled in three phases:(i)students selecting their teacher,(ii)students learning from each other,and(iii)individual practice,considering exploration in local search and exploitation in local *** performance of LEO in optimization tasks has been challenged against fifty-two benchmark functions of a variety of unimodal,multimodal types and the CEC 2017 test *** optimization results show that LEO,with its acceptable ability in exploration,exploitation,and maintaining a balance between them,has efficient performance in optimization applications and solution *** efficiency in optimization tasks is compared with ten well-known metaheuristic *** of the simulation results show that LEO has effective performance in dealing with optimization tasks and is significantly superior andmore competitive in combating the compared *** implementation results of the proposed approach to four engineering design problems show the effectiveness of LEO in solving real-world optimization applications.

关键词： Optimization language education exploration exploitation metaheuristic algorithm

Scalable nanocomposite parylene-based memristors:Multifilamentary resistive switching and neuromorphic applications

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Nano Research 2023年第2期16卷 3207-3214页

作者： Anna N.Matsukatova Artem Yu.Vdovichenko Timofey D.Patsaev pavel A.Forsh pavel K.Kashkarov Vyacheslav A.Demin Andrey V.Emelyanov National Research Centre“Kurchatov Institute” Moscow 123182Russia Physics Department Lomonosov Moscow State UniversityMoscow 119991Russia Moscow Institute of Physics and Technology DolgoprudnyjMoscow oblast 141701Russia Enikolopov Institute of Synthetic Polymeric Materials Russian Academy of SciencesMoscow 117993Russia Physics Department Saint Petersburg State UniversitySt.Petersburg 199034Russia

Memristors are promising candidates for synapse emulation in brain-inspired neuromorphic computing *** main obstacle to their usage in such systems is high variability of memristive characteristics and its severe negative effect on the neural network *** paper addresses the issue from two points of view on the example of the parylene-based memristors:(i)the methods of the memristor internal stochasticity decrease and(ii)the methods of the memristive neural network architecture *** introduction of an optimal Ag nanoparticle concentration(3 vol.%–6 vol.%)to the memristive structure leads to a statistically significant decrease in the switching voltage variation and endurance ***,it is shown that post-fabrication annealing improves memristive characteristics,e.g.,resistive switching window increases by an order of magnitude and exceeds 106,the switching voltage variation decreases by a factor of 2(down to 7%for the set and 17%for the reset voltage),and thermostability is *** transmission electron microscopy and impedance spectroscopy analysis allowed establishing a multifilamentary resistive switching mechanism for nanocomposite parylene-based *** simulation of the formal neural network based on these memristors demonstrates high classification accuracy with low variation for an important biomedical task,heart disease prediction,after careful feature selection and network architecture *** prospects of the controlled incorporation of the nanocomposite parylene-based memristors in neural networks are brightened by their scaling possibility in crossbar geometry.

关键词： memristor resistive switching neuromorphic computing parylene nanocomposite

Toxicological effects of nanoselenium in animals

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Journal of Animal Science and Biotechnology 2022年第6期13卷 1610-1622页

作者： Iqra Bano Sylvie Skalickova Safia Arbab Lenka Urbankova pavel Horky Department of Physiology and Biochemistry Faculty of BioscienceShaheed Benazir Bhutto University of Veterinary&Animal SciencesSakrand 67210Pakistan Department of Animal Nutrition and Forage Production Mendel University in BrnoZemedelska 1CZ-61300 BrnoCzech Republic Key Laboratory of Veterinary Pharmaceutical Development Ministry of AgricultureLanzhou Institute of Husbandry and Pharmaceutical SciencesChinese Academy of Agricultural SciencesLanzhou 730050China.

The productivity and sustainability of livestock production systems are heavily influenced by animal *** maintain homeostatic balance in the body of the animal at different phases of life,the percentage of organically active minerals in livestock feed must be ***(Se)is a crucial trace mineral that is required for the maintenance of many functions of the *** nanoparticles(SeNPs)attracted considerable interest from researchers for a variety of applications a decade ago,owing to their extraordinary *** offer significant advantages over larger-sized materials,by having a comparatively wider surface area,increased surface energy,and high *** its benefits,SeNP also has toxic effects,therefore safety concerns must be taken for a successful *** toxicological effects of SeNPs in animals are characterized by weight loss,and increased mortality rate.A safe-by-strategy to certify animal,human and environmental safety will contribute to an early diagnosis of all risks associated with *** review is aimed at describing the beneficial uses and potential toxicity of SeNPs in various *** will also serve as a summary of different levels of SeNPs which should be added in the feed of animals for better performance.

关键词： Nanoparticles Organism Selenium Toxicity Trace minerals

Prognostics for Lithium-ion batteries for electric Vertical Take-off andLanding aircraft using data-driven machine learning

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能源与人工智能(英文) 2023年第2期12卷 145-162页

作者： Mihaela Mitici Birgitte Hennink Marilena pavel Jianning Dong Faculty of Science Utrecht UniversityHeidelberglaan 83584 CSUtrechtThe Netherlands Faculty of Aerospace Engineering Delft University of TechnologyKluyverweg 1HS 2926DelftThe Netherlands Electrical Engineering Mathematics and Computer Science FacultyTU Delft2628 CDDelftThe Netherlands

The health management of batteries is a key enabler for the adoption of Electric Vertical Take-off and Landingvehicles (eVTOLs). Currently, few studies consider the health management of eVTOL batteries. One distinctcharacteristic of batteries for eVTOLs is that the discharge rates are significantly larger during take-off andlanding, compared with the battery discharge rates needed for automotives. Such discharge protocols areexpected to impact the long-run health of batteries. This paper proposes a data-driven machine learningframework to estimate the state-of-health and remaining-useful-lifetime of eVTOL batteries under varying flightconditions and taking into account the entire flight profile of the eVTOLs. Three main features are consideredfor the assessment of the health of the batteries: charge, discharge and temperature. The importance of thesefeatures is also quantified. Considering battery charging before flight, a selection of missions for state-ofhealth and remaining-useful-lifetime prediction is performed. The results show that indeed, discharge-relatedfeatures have the highest importance when predicting battery state-of-health and *** several machine learning algorithms, it is shown that the battery state-of-health and remaining-useful-lifeare well estimated using Random Forest regression and Extreme Gradient Boosting, respectively.

关键词： Electric Vertical Take-off and Landing vehicles Lithium-ion battery State-of-health Machine learning Remaining-useful-life

Reevaluation of dialect boundaries in the Yellowhammer(Emberiza citrinella)based on citizen science data:Should we split or lump?

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Avian Research 2023年第3期14卷 361-368页

作者： Lucie Diblíkova pavel Pipek Stanislav Vosolsobe Adam Petrusek Tereza Petruskova Charles University Faculty of ScienceDepartment of EcologyVinicna 7PragueCZ-12800Czech Republic Czech Academy of Sciences Institute of BotanyDepartment of Invasion EcologyZamek 1PrůhoniceCZ-25243Czech Republic Charles University Faculty of ScienceDepartment of Experimental Plant BiologyVinicna 5PragueCZ-12800Czech Republic

Dialects are a specific form of geographic variation of birdsong with relatively sharp boundaries between distinct song characteristics,which provide opportunities for focused studies of processes underlying the emergence of spatial patterns in *** songbird species that exhibit dialects became models for such research,and for some of them large-scale datasets were assembled that included recordings provided by the *** them,the Yellowhammer(Emberiza citrinella,Emberizidae) is particularly prominent,as it has been recently a subject of dedicated citizen science projects focusing on its dialect *** most successful,in terms of public participation as well as the number and density of obtained recordings,was the Dialects of Czech Yellowhammers(DCY) project,which assembled detailed data at the whole-country level.A mosaic of almost all common song variants known across Europe was observed in Czechia,but the results indicated that some of the traditionally recognized Yellowhammer dialects may not represent geographically clustered song variants,at least not in Central *** quantitatively analysed variation(frequency and temporal characteristics and modulation) of the terminal song element in three dialects defined by arbitrary frequency thresholds in *** analyses indicated that pooling these to two distinct groups reflects the variation in the songs,as well as their spatial distribution,better than retaining the current classification to three dialects or their finer splitting to even more *** provide simple measures that may be used for classification of these Yellowhammer song variants in Central ***,we warn from indiscriminate transposing of results from one region to another,as that may lead to substantial *** studies of birdsong variation will benefit from big data assembled by citizen scientists,but to maximise their usefulness for further dialect research,careful delineation of d

关键词： Birdsong Geographic variation Bioacoustics Dialects Public participation

Short‐term and long‐term memory self‐attention network for segmentation of tumours in 3D medical images

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CAAI Transactions on Intelligence Technology 2023年第4期8卷 1524-1537页

作者： Mingwei Wen Quan Zhou Bo Tao pavel Shcherbakov Yang Xu Xuming Zhang Department of Biomedical Engineering College of Life Science and TechnologyHuazhong University of Science and TechnologyWuhanChina State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and TechnologyWuhanChina Institute for Control Science Russian Academy of SciencesMoscowRussia Hubei Medical Devices Quality Supervision and Test Institute WuhanChina

Tumour segmentation in medical images(especially 3D tumour segmentation)is highly challenging due to the possible similarity between tumours and adjacent tissues,occurrence of multiple tumours and variable tumour shapes and *** popular deep learning‐based segmentation algorithms generally rely on the convolutional neural network(CNN)and *** former cannot extract the global image features effectively while the latter lacks the inductive bias and involves the complicated computation for 3D volume *** existing hybrid CNN‐Transformer network can only provide the limited performance improvement or even poorer segmentation performance than the pure *** address these issues,a short‐term and long‐term memory self‐attention network is ***,a distinctive self‐attention block uses the Transformer to explore the correlation among the region features at different levels extracted by the ***,the memory structure filters and combines the above information to exclude the similar regions and detect the multiple ***,the multi‐layer reconstruction blocks will predict the tumour *** results demonstrate that our method outperforms other methods in terms of subjective visual and quantitative *** with the most competitive method,the proposed method provides Dice(82.4%vs.76.6%)and Hausdorff distance 95%(HD95)(10.66 vs.11.54 mm)on the KiTS19 as well as Dice(80.2%vs.78.4%)and HD95(9.632 vs.12.17 mm)on the LiTS.

关键词： 3D medical images convolutional neural network self‐attention network transformer tumor segmentation

Highly efficient transient stimulated Raman scattering on secondary vibrational mode of BaWO_(4) crystal due to its constructive interference with self-phase modulation

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Chinese Optics Letters 2023年第3期21卷 113-117页

作者： Igor Kinyaevskiy Valeri Kovalev pavel Danilov Nikita Smirnov Sergey Kudryashov Andrey Koribut Andrey Ionin P.N.Lebedev Physical Institute of the Russian Academy of Sciences Moscow 119991Russia

An exceptionally high stimulated Raman scattering[SRS]conversion efficiency to the first Stokes component associated with the secondary[low-frequency and low intensity]vibrational mode v2[~330 cm^[-1]]was observed in a BaWO4 crystal in a highly transient regime of *** effect takes place in the range of pump pulse energy from~0.1 to~0.5μJ with maximum energy conversion efficiency up to 35%at 0.2μ*** nature of the observed effects is explained by interference of SRS and self-phase modulation,where the latter is related to a noninstantaneous orientational Kerr nonlinearity in the BaWO4 crystal.

关键词： stimulated Raman scattering secondary vibrational mode self-phase modulation ultrashort laser pulses transient phenomena

Speckle backpropagation for compensation of nonlinear effects in few-mode optical fibers

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Chinese Optics Letters 2023年第3期21卷 24-28页

作者： pavel S.Anisimov Evgeny D.Tsyplakov Viacheslav V.Zemlyakov 高杰星 Central Research Institute 2012 LabsHuawei TechnologiesShenzhen 518129China

We propose an alternative approach to compensation of intermodal interactions in few-mode optical fibers by means of digital *** of solving the inverse generalized multimode nonlinear Schr?dinger equation,we accomplish backpropagation of the multimode signals with help of their near-field intensity distributions captured by a *** demonstrate that this task can successfully be handled by a deep neural network and provide a proof of concept by training an autoencoder for backpropagation of six linearly polarized[LP]modes of a step-index fiber.

关键词： optical fibers multimode fibers few-mode fibers digital signal processing space division multiplexing mode division multiplexing mode decomposition

Influence of stress path change on the resistance to plastic deformation of cold rolled sheets

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Journal of University of Science and Technology Beijing 2005年第6期12卷 521-526页

作者： pavel Huml Metal Forming Department of Materials Science and Engineering The Royal Institute of Technology 10044 Stockholm Sweden

Flat workpieces have been tested in order to investigate the influence of stress path change （loading mode） while keeping strain path unchanged. These investigations are pertinent to the testing of cold rolled strips and to subsequent forming. The workpieces which first compressed by plane strain compression in thickness direction were then tested in perpendicular direction in order to measure the influence of strain and stress path. The tension workpieces came from flat die compression test at different deformation histories. Two different materials were investigated： 18/8 Ti stainless steel and AW-1050 aluminium. The results show that the plastic flow by tension in lengthwise direction after pre-strain by compression in thickness direction will begin at an appreciably lower stress than that of the workpieces unloaded after pre-compression. Comparing with two materials, it can be seen that both 18/8 Ti stainless steel and AW-1050 aluminium behave similarly. The drop in yield stress is lower for AW-1050 aluminium than that for 18/8 Ti stainless steel. However, reloading in different directions than in the precious step results in significantly higher strain hardening.

关键词： cold working plastic deformation strain path stress path loading mode flow stress yield stress strain hardening