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Artificial intelligence-based predictive model of nanoscale friction using experimental data

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Friction 2021年第6期9卷 1726-1748页

作者： Marko PERČiĆ saša ZELENiKA igor MEZiĆ University of Rijeka Faculty of Engineering51000 RijekaCroatia University of Rijeka Centre for Micro-and Nanosciences and Technologies&Center for Artificial Intelligence and Cybersecurity51000 RijekaCroatia University of California santa Barbara Department of Mechanical EngineeringSanta BarbaraCA 93105USA

A recent systematic experimental characterisa.ion of technological thin films,based on elaborated design of experiments as well as probe calibration and correction procedures,allowed for the first time the determination of nanoscale friction under the concurrent influence of several process parameters,comprising normal forces,sliding velocities,and temperature,thus providing an indication of the intricate correlations induced by their interactions and mutual *** created the preconditions to undertake in this work an effort to model friction in the nanometric domain with the goal of overcoming the limitations of currently available models in ascertaining the effects of the physicochemical processes and phenomena involved in nanoscale *** to the stochastic nature of nanoscale friction and the relatively sparse available experimental data,meta-modelling tools fail,however,at predicting the factual *** on the acquired experimental data,data mining,incorporating various state-of-the-art machine learning(ML)numerical regression algorithms,is therefore *** results of the numerical analyses are assessed on an unseen test dataset via a comparative statistical *** is therefore shown that the black box ML methods provide effective predictions of the studied correlations with rather good accuracy levels,but the intrinsic nature of such algorithms prevents their usage in most practical *** programming-based artificial intelligence(Ai)methods are consequently finally *** the marked complexity of the analysed phenomena and the inherent dispersion of the measurements,the developed Ai-based symbolic regression models allow attaining an excellent predictive performance with the respective prediction accuracy,depending on the sample type,between 72%and 91%,allowing also to attain an extremely simple functional description of the multidimensional dependence of nanoscale friction on the studied variable process param

关键词： nanoscale friction thin films data mining machine learning(ML) predictive artificial intelligence(Ai)-based model

All-optical image denoising using a diffractive visual processor

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Light(Science & Applications) 2024年第3期13卷 429-445页

作者： Çağatay işıl Tianyi Gan Fazil Onuralp Ardic Koray Mentesoglu Jagrit Digani Huseyin Karaca Hanlong Chen Jingxi Li Deniz Mengu Mona Jarrahi Kaan Akşit Aydogan Ozcan Electrical and Computer Engineering Department University of CaliforniaLos AngelesCA 90095USA Bioengineering Department University of CaliforniaLos AngelesCA 90095USA California NanoSystems institute(CNSi) University of CaliforniaLos AngelesCA 90095USA University College London Department of Computer ScienceLondonUnited Kingdom

image denoising,one of the essential inverse problems,targets to remove noise/artifacts from input *** general,digital image denoising algorithms,executed on computers,present latency due to several iterations implemented in,e.g.,graphics processing units(GPUs).While deep learning-enabled methods can operate non-iteratively,they also introduce latency and impose a significant computational burden,leading to increased power ***,we introduce an analog diffractive image denoiser to all-optically and non-iteratively clean various forms of noise and artifacts from input images–implemented at the speed of light propagation within a thin diffractive visual processor that axially spansis the wavelength of *** all-optical image denoiser comprises passive transmissive layers optimized using deep learning to physically scatter the optical modes that represent various noise features,causing them to miss the output image Field-of-View(FoV)while retaining the object features of *** results show that these diffractive denoisers can efficiently remove salt and pepper noise and image rendering-related spatial artifacts from input phase or intensity images while achieving an output power efficiency of~30–40%.We experimentally demonstrated the effectiveness of this analog denoiser architecture using a 3D-printed diffractive visual processor operating at the terahertz *** to their speed,power-efficiency,and minimal computational overhead,all-optical diffractive denoisers can be transformative for various image display and projection systems,including,e.g.,holographic displays.

关键词： remove rendering holographic

Shear wave velocity model using HVSR inversion beneath Bandar Lampung City

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Earthquake Science 2024年第4期37卷 337-351页

作者： Ahmad Zaenudin Alhada Farduwin Gede i Boy Darmawan Karyanto Department of Geophysical Engineering University of LampungBandar Lampung 35145Indonesia Department of Geophysical Engineering Sumatera Institute of TechnologySouth Lampung 35365Indonesia

The horizontal-to-vertical spectral ratio(HVSR)method has been used to characterize site-effect parameters that are indispensable in seismic hazard and risk-reduction studies in urban areas and rapid land-use *** method is widely used because it is the cheapest and simplest geophysical method for the acquisition and processing *** subsequent developments,the HVSR method has been widely used to determine elastic rock parameters,particularly shear wave velocity(v_(S)),through the HVSR curve inversion ***,the v_(S)structural model can be used to delineate the presence of complex geological structures,particularly faults and sedimentary *** Lampung is a city in Lampung Province with many fault structures and groundwater basins to the *** are 83 HVSR measurement points around Bandar Lampung for delineating the presence of fault structures and groundwater *** produced the HVSR curve from the measurement results and then performed an inversion process using the particle swarm optimization algorithm to obtain v_(S)for the depth ***,from this profile,we produced a two-dimensional(2D)lateral and vertical *** mean v_(S)value was calculated from all the measurement points,and we found stiff soil layers reaching depths of approximately 5 m,with a value of v_(S)ith a velocity exceeding 1250 m/s was visible at a depth of 100 *** on the 2D model,the v_(S)structure shows that the city of Bandar Lampung is divided into two zones,with a NW-SE *** north-middle-eastern part of the city consists of harder *** harder rock is characterized by extremely high v_(S)values,starting from a depth of 50 *** contrast,the south-middle-west exhibits a low-moderate v_(S)anomaly associated with groundwater basins SW of the *** the 2D v_(S)structural model,fault structures can be found along the city,characterized by a contrast of v_(S)values from low to medium and from me

关键词： shear wave velocity HVSR fault structures groundwater basin Bandar Lampung City

Height-diameter models for King Boris fir(Abies borisii regis Mattf.) and Scots pine(Pinus sylvestris L.) in Olympus and Pieria Mountains, Greece

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Journal of Mountain Science 2024年第5期21卷 1475-1490页

作者： Dimitrios i.RAPTiS Dimitra PAPADOPOULOU Angeliki PsaRRA Athanasios A.FALLiAS Aristides G.TSiTsa.iS Vassiliki KAZANA Renewable Natural Resource Management and Bioeconomy Laboratory Department of Forest and Natural Environment SciencesInternational Hellenic University66100 DramaGreece

in forest science and practice, the total tree height is one of the basic morphometric attributes at the tree level and it has been closely linked with important stand attributes. in the current research, sixteen nonlinear functions for height prediction were tested in terms of their fitting ability against samples of Abies borisii regis and Pinus sylvestris trees from mountainous forests in central Greece. The fitting procedure was based on generalized nonlinear weighted regression. At the final stage, a five-quantile nonlinear height-diameter model was developed for both species through a quantile regression approach, to estimate the entire conditional distribution of tree height, enabling the evaluation of the diameter impact at various quantiles and providing a comprehensive understanding of the proposed relationship across the distribution. The results clearly showed that employing the diameter as the sole independent variable, the 3-parameter Hossfeld function and the 2-parameter N?slund function managed to explain approximately 84.0% and 81.7% of the total height variance in the case of King Boris fir and Scots pine species, respectively. Furthermore, the models exhibited low levels of error in both cases(2.310m for the fir and 3.004m for the pine), yielding unbiased predictions for both fir(-0.002m) and pine(-0.004m). Notably, all the required assumptions for homogeneity and normality of the associated residuals were achieved through the weighting procedure, while the quantile regression approach provided additional insights into the height-diameter allometry of the specific species. The proposed models can turn into valuable tools for operational forest management planning, particularly for wood production and conservation of mountainous forest ecosystems.

关键词： Generalized nonlinear weighted regression Monte Carlo cross-validation Mountainous ecosystems Quantile regression Central Greece

A Hybrid Classification and identification of Pneumonia Using African Buffalo Optimization and CNN from Chest X-Ray images

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2497-2517页

作者： Nasser Alalwan Ahmed i.Taloba Amr Abozeid Ahmed ibrahim Alzahrani Ali H.Al-Bayatti Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia information System Department Faculty of Computers and InformationAssiut UniversityAssiutEgypt Mathematics Department Faculty of ScienceAl-Azhar UniversityCairoEgypt Cyber Technology institute(CTi) De Montfort UniversityLeicesterUK

An illness known as pneumonia causes inflammation in the *** there is so much information available fromvarious X-ray images,diagnosing pneumonia has typically proven *** improve image quality and speed up the diagnosis of pneumonia,numerous approaches have been *** date,several methods have been employed to identify *** Convolutional Neural Network(CNN)has achieved outstanding success in identifying and diagnosing diseases in the fields of medicine and ***,these methods are complex,inefficient,and imprecise to analyze a big number of *** this paper,a new hybrid method for the automatic classification and identification of Pneumonia from chest X-ray images is *** proposed method(ABOCNN)utilized theAfrican BuffaloOptimization(ABO)algorithmto enhanceCNNperformance and *** Weinmed filter is employed for pre-processing to eliminate unwanted noises from chest X-ray images,followed by feature extraction using the Grey Level Co-Occurrence Matrix(GLCM)*** features are then selected from the dataset using the ABO algorithm,and ultimately,high-performance deep learning using the CNN approach is introduced for the classification and identification of *** results on various datasets showed that,when contrasted to other approaches,the ABO-CNN outperforms them all for the classification *** proposed method exhibits superior values like 96.95%,88%,86%,and 86%for accuracy,precision,recall,and F1-score,respectively.

关键词： African buffalo optimization convolutional neural network pneumonia X-ray

Non-thermal atmospheric-pressure positive pulsa.ing corona discharge in degradation of textile dye Reactive Blue 19 enhanced by Bi_(2)O_(3) catalyst

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Plasma Science and Technology 2024年第2期26卷 104-113页

作者： Milica PETROViC Dragan RADiVOJEViC sasa RANCEV Nena VELiNOV Milos KOSTiC Danijela BOJiC Aleksandar BOJiC Department of Chemistry Faculty of Sciences and MathematicsUniversity of NisNis 18000Serbia Department of Physics Faculty of Sciences and MathematicsUniversity of NisNis 18000Serbia

in this work,monoclinic Bi_(2)O_(3) was applied for the first time,to the best of our knowledge,as a catalyst in the process of dye degradation by a non-thermal atmospheric-pressure positive pulsa.ing corona *** research focused on the interaction of the plasma-generated species and the catalyst,as well as the role of the catalyst in the degradation *** decomposition of the anthraquinone reactive dye Reactive Blue 19(RB 19) was performed in a selfmade reactor ***_(2)O_(3) was prepared by electrodeposition followed by thermal treatment,and characterized by x-ray diffraction,scanning electron microscopy and energy-dispersive xray *** was observed that the catalyst promoted decomposition of plasma-generated H_(2)O_(2) into ·OH radicals,the principal dye-degrading reagent,which further attacked the dye *** catalyst improved the decolorization rate by 2.5 times,the energy yield by 93.4%and total organic carbon removal by 7.1%.Excitation of the catalyst mostly occurred through strikes by plasma-generated reactive ions and radical species from the air,accelerated by the electric field,as well as by fast electrons with an energy of up to 15 eV generated by the streamers reaching the liquid *** strikes transferred the energy to the catalyst and created the electrons and holes,which further reacted with H_(2)O_(2) and water,producing ·OH *** was indentified as the primary role of the catalyst in this *** reactions followed pseudo first-order *** of H_(2)O_(2) and the dye degradation rate increased with increase in the input *** optimal catalyst dose was 500 mg·dm^(-3).The decolorization rate was a little lower in river water compared with that in deionized water due to the side reactions of ·OH radicals with organic matter and inorganic ions dissolved in the river water.

关键词： corona RB 19 Bi_(2)O_(3) catalyst degradation

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非物质文化遗产保护中习惯规则的价值探析

贵州民族研究 2024年第2期45卷 171-176页

作者：萨矗荣贵中国人民大学法学院北京100872

非物质文化遗产本身蕴含着丰富的习惯规则内容,这些传统的习惯规则在文化传承中发挥着正式规范所无法替代的作用。习惯规则主要通过口头传承的方式得以延续,并由习惯机构依据传统社区和群体的文化价值观执行,旨在保护非物质文化遗产的... 详细信息

非物质文化遗产本身蕴含着丰富的习惯规则内容,这些传统的习惯规则在文化传承中发挥着正式规范所无法替代的作用。习惯规则主要通过口头传承的方式得以延续,并由习惯机构依据传统社区和群体的文化价值观执行,旨在保护非物质文化遗产的社会和文化利益,确保群体内成员享有平等的权利义务。根据传统习惯,非遗是集体所共有的,其使用伦理依赖于习惯规则和群体内部的社会关系。因此习惯规则在保护集体权利方面发挥着重要作用。沿袭多年的习惯规则与非遗所在的地域和群体紧密相连,与现代法治互补并存,共同发挥作用。在非遗保护价值观上,二者的一致性能使它们相互呼应,共同维护非遗的传承与发展。

关键词：习惯规则集体利益合理使用现代价值

Fatigue and Corrosion Fatigue Properties of Mg-Zn-Zr-Nd Alloys in Glucose-Containing Simulated Body Fluids

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Acta Metallurgica Sinica(English Letters) 2024年第9期37卷 1533-1550页

作者： Xue Han Dan Zhang Song Zhang Mohammed R.i.Abueida Lili Tan Xiaopeng Lu Qiang Wang Huanye Liu School of Materials Science and Engineering Shenyang University of TechnologyShenyang110870China School and Hospital of Stomatology China Medical UniversityShenyang110001China Shi-Changxu innovation Center for Advanced Materials Institute of Metal ResearchChinese Academy of SciencesShenyang110016China Shenyang National Laboratory for Materials Science Northeastern UniversityShenyang110819China

Medical bone implant magnesium(Mg)alloys are subjected to both corrosive environments and complex loads in the human *** increasing number of hyperglycemic and diabetic patients in recent years has brought new challenges to the fatigue performance of Mg ***,it is significant to study the corrosion fatigue(CF)behavior of medical Mg alloys in glucose-containing simulated body fluids for their clinical ***,the corrosion and fatigue properties of extruded Mg-Zn-Zr-Nd alloy in Hank’s balanced salt solution(HBSS)containing different concentrations(1 g/L and 3 g/L)of glucose were *** average grain size of the alloy is about 5μm,which provides excellent overall mechanical *** conditional fatigue strength of the alloy was 127 MPa in air and 88 MPa and 70 MPa in HBSS containing 1 g/L glucose and 3 g/L glucose,*** crack initiation points for alloys in air are oxide inclusions and in solution are corrosion *** corrosion rate of the alloy is high at the beginning,and decreases as the surface corrosion product layer thickens with the increase of immersion *** corrosion products of the alloy are mainly Mg(OH)_(2),MgO and a small amount of Ca-P *** electrochemical results indicated that the corrosion rate of the alloys gradually decreased with increasing immersion time,but the corrosion tendency of the alloy was greater in HBSS containing 3 g/L *** the one hand,glucose accelerates the corrosion process by adsorbing large amounts of aggressive Cl^(-)*** the other hand,glucose will be oxidized to form gluconic acid,and then reacts with Mg(OH)_(2) and MgO to form Mg gluconate,which destroys the corrosion product film and leads to the aggravation of corrosion and the accumulation of fatigue damage.

关键词： Mg alloys Corrosion fatigue Glucose Gluconic acid Corrosion product

从《沈阳百咏》探析光绪初年盛京城人居文化景观

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风景园林 2024年第6期31卷 133-139页

作者：谢淼伊娜王飒沈阳建筑大学建筑与规划学院沈阳建筑大学辽宁省区域建筑学与寒地人居科学重点实验室

【目的】从人居环境学的角度,探究在清末外部变化影响下仍是帝国陪都的盛京城内文化景观和城市空间变化,以填补盛京城清末文化景观研究的不足。【方法】以《沈阳百咏》为依据,运用文本挖掘语义分析、时间地理学分析、历史地理空间分析... 详细信息

【目的】从人居环境学的角度,探究在清末外部变化影响下仍是帝国陪都的盛京城内文化景观和城市空间变化,以填补盛京城清末文化景观研究的不足。【方法】以《沈阳百咏》为依据,运用文本挖掘语义分析、时间地理学分析、历史地理空间分析量化光绪初年盛京城人居文化景观类型和时空信息,探讨文化景观的分布规律,并通过对比清朝前、中、末期城市空间,总结光绪初年盛京城的风貌特点。【结果】将盛京城人居文化景观归纳为“游憩玩赏”“盛京旧制”“市井生活”“信俗集会”4个一级分类及15个二级分类,发现文化景观类型与季节农时有强关联,不同文化景观在地理空间分布上有显著差异,整体上集中于关厢地带,城北景观密度高于城南。通过将《沈阳百咏》中城市空间与清前、中期城市空间对比发现,光绪初年盛京城已成为有满族特色的地方中心性城市。【结论】对《沈阳百咏》的深入挖掘填补了清末盛京城文化景观研究的缺环,为清代盛京城研究提供新思路,同时也为后续通过诗文分析盛京城文化景观格局提供了参考。

关键词：文化景观人居环境学诗词文本挖掘时空结构清代盛京城