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Design and initial testing of a maize cob collection system

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International Journal of Agricultural and Biological Engineering 2024年第3期17卷 108-114页

作者： Bojan Dolšak Anita Breznik Klemen Kaučič Nataša Imenšek Marko Marčec Peter Gselman Jani Humar Mitja Krajnc University of Maribor Faculty of Mechanical EngineeringSmetanova ulica 172000 MariborSlovenia ŽIPO Lenart Ltd. Šetarova 212230 LenartSlovenia KGS Krajnc Ltd Vinička vas 42230 LenartSlovenia Interkorn Ltd. Gančani 949231 BeltinciSlovenia

Maize cobs are valuable plant residues that can be used for many different purposes,including as a renewable energy *** their value,maize cobs are still underutilized,mainly because people are not aware of their potential and harvesting techniques for their collection are still being ***,this research focused on finding the most suitable energy-and time-efficient method for mechanical collection of maize *** the combine harvester with an additional hopper proved to be the most promising solution,as it allows harvesting and storage of maize grain and maize cobs in one pass,while the harvesting time remains almost the same and the maize cobs are of good quality,as they do not fall on the field.A prototype with enlarged openings in the straw walkers,an additional grab container for maize cobs,a transport auger,a transport cleaning fan with built-in knives,a transport tube and some other assemblies was fabricated and used in *** first test results are very encouraging(94.4%-96.0%purity of maize cobs)and the system has been patented as a promising solution,especially in times when the environmental sustainability of the planet and energy independence are becoming increasingly important.

关键词： maize cobs utilization mechanical harvesting combine harvester upgrade

A data-assisted physics-informed neural network(DA-PINN)for fretting fatigue lifetime prediction

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International Journal of Mechanical System Dynamics 2024年第3期4卷 361-373页

作者： Can Wang Qiqi Xiao Zhikun Zhou Yongyu Yang Gregor Kosec Lihua Wang Magd Abdel Wahab Soete Laboratory Department of Electrical EnergyMetalsMechanical Constructions and SystemsFaculty of Engineering and ArchitectureGhent UniversityGentBelgium Department of Engineering Mechanics School of Aerospace EngineeringHuazhong University of Science and TechnologyWuhanChina Key Laboratory for Mechanics Anhui Polytechnic UniversityWuhuChina Parallel and Distributed Systems Laboratory Jožef Stefan InstituteLjubljanaSlovenia School of Aerospace Engineering and Applied Mechanics Tongji UniversityShanghaiChina College of Engineering Yuan Ze UniversityTaiwanChina

In this study,we present for the first time the application of physics-informed neural network(PINN)to fretting fatigue *** PINN has recently been applied to pure fatigue lifetime prediction,it has not yet been explored in the case of fretting *** propose a data-assisted PINN(DA-PINN)for predicting fretting fatigue crack initiation *** traditional PINN that solves partial differential equations for specific problems,DA-PINN combines experimental or numerical data with physics equations as part of the loss function to enhance prediction *** DA-PINN method,employed in this study,consists of two main ***,damage parameters are obtained from the finite element method by using critical plane method,which generates a data set used to train an artificial neural network(ANN)for predicting damage parameters in other ***,the predicted damage parameters are combined with the experimental parameters to form the input data set for the DA-PINN models,which predict fretting fatigue *** results demonstrate that DA-PINN outperforms ANN in terms of prediction accuracy and eliminates the need for high computational costs once the damage parameter data set is ***,the choice of loss-function methods in DA-PINN models plays a crucial role in determining its performance.

关键词： crack initiation data-assisted fretting fatigue finite element method physics-informed neural network

How we look:European wild moufon and feral domestic sheep hybrids

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Current Zoology 2024年第3期70卷 298-303页

作者： Nikica Šprem Elena Buzan Toni Safner Faculty of Agriculture Department of FisheriesApicultureWildlife Management and Special ZoologyUniversity of ZagrebSvetošimunska cesta 2510000 ZagrebCroatia Faculty of Mathematics Natural Sciences and Information TechnologiesUniversity of PrimorskaGlagoljaška 86000 KoperSlovenia Faculty of Environmental Protection Trg mladosti 73320 VelenjeSlovenia Faculty of Agriculture Department of Plant BreedingGenetics and BiometricsUniversity of ZagrebSvetošimunska cesta 2510000 ZagrebCroatia Centre of Excellence for Biodiversity and Molecular Plant Breeding(CroP-BioDiv) Svetošimunska cesta 2510000 ZagrebCroatia

Hybridization between wild animals and feral individuals from closely related domestic species can occur when they share the same *** events are generally regarded as a threat to the genetic integrity and survival of established wild *** aim of this study is to confrm a hybridization between European moufon and feral sheep on the Adriatic island Dugi Otok,where a group of individuals phenotypically indicative of a possible introgression was *** an ovine medium-density SNP array genotypes,we provided genetic evidence of recent gene admixture between the two *** ADMIXTURE analysis suggests that two hybrid individuals had 82.2%and 94.1%of their ancestry attributable to feral sheep,respectively,with the rest of the moufon in *** analysis estimated the combined probabilities for the putative hybrid individuals belonging to one of the hybrid classes at 87.0%and 90.1%,*** main phenotypic differences in the hybrids were observed in the shape of the horns,a stronger horn circumference than in the moufon and weaker than for the sheep,pronounced horn rings,a shorter tail,and intermediate *** therefore recommend constant monitoring of the purity of the moufon population to maintain its genetic *** addition,all feral sheep should be removed from the wild,and released sheep raised in semi-wild conditions should be better controlled.

关键词： crossbreeding gene introgression livestock Ovis gmelinimusimon SNPs

An application of 1D convolution and deep learning to remote sensing modelling of Secchi depth in the northern Adriatic Sea

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Big Earth Data 2024年第1期8卷 82-114页

作者： Antonia Ivanda LjiljanaŠerić DušanŽagar Krištof Oštir Faculty of Electrical Engineering Mechanical Engineering and Naval ArchitectureUniversity of SplitSplitCroatia Faculty of Civil and Geodetic Engineering University of LjubljanaLjubljanaSlovenia

This paper presents a novel approach for predicting the water quality indicator-Secchi disk depth(Z_(SD)).Z_(SD)indirectly reflects water clarity and serves as a proxy for other quality *** study utilizes Deep Neural Network(DNN)trained on satellite remote sensing and measured data from three sources:two datasets obtained from official agencies in Croatia and Slovenia,and one citizen science data source,all covering the northern coastal region of the Adriatic *** proposed model uses 1D Convolutional Neural Network(CNN)in the spectral dimension to predict Z_(SD).The model’s performance indicates a strong fit to the observed data,proving capability of 1D-CNN to capture changes in water *** the test dataset,the model achieved a high R-squared value of 0.890,a low root mean squared error(RMSE)of 0.023 and mean absolute error(MAE)of *** results demonstrate that employing a 1D-CNN in the spectral dimension of Sentinel-3 OLCI data is an effective approach for predicting water *** findings have significant implications for monitoring Z_(SD)in coastal *** integrating diverse data sources and leveraging advanced machine learning algorithms,a more accurate and comprehensive assessment of water quality can be achieved.

关键词： Secchi Sentinel-3 OLCI 1DCNN Adriatic sea

Global warming scenarios for the Eastern Adriatic Sea indicate a higher risk of invasiveness of non-native marine organisms relative to current climate conditions

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Marine Life Science & Technology 2024年第1期6卷 143-154页

作者： Branko Glamuzina Lorenzo Vilizzi Marina Piria Ante Zuljevic Ana Bratos Cetinic Ana Pesic Branko Dragicevic Lovrenc Lipej Marijana Pecarevic Vlasta Bartulovic Sanja Grđan Ivan Cvitkovic Tatjana Dobroslavic Ana Fortic Luka Glamuzina Borut Mavric Jovana Tomanic Marija Despalatovic Domen Trkov Marina Brailo Scepanovic Zoran Vidovic Predrag Simonovic Sanja Matic-Skoko Pero Tutman Department of Applied Ecology University of DubrovnikDubrovnikCroatia Department of Ecology and Vertebrate Zoology Faculty of Biology and Environmental ProtectionUniversity of LodzLodzPoland Faculty of Agriculture Department of FisheriesApicultureWildlife Management and Special ZoologyUniversity of ZagrebZagrebCroatia Institute of Oceanography and Fisheries SplitCroatia Institute of Marine Biology University of MontenegroKotorMontenegro National Institute of Biology Marine Biology Station PiranPiranSlovenia Teacher Education Faculty University of BelgradeBelgradeSerbia Faculty of Biology University of BelgradeBelgradeSerbia

Globally,marine bioinvasions threaten marine ecosystem structure and function,with the Mediterranean Sea being one of the most affected *** invasions are expected to increase due to climate *** conducted a risk screening of marine organisms(37 fishes,38 invertebrates,and 9 plants),both extant and‘horizon’(i.e.,not present in the area but likely to enter it).Based on expert knowledge for the Eastern Adriatic Sea coasts of Slovenia,Croatia,and Montenegro,screenings were conducted under both current and predicted climate conditions indicating with an increase in sea surface temperature and salinity of the Adriatic Sea together with changes in precipitation *** aims were to:(1)identify non-native extant and horizon marine species that may pose threats to native biodiversity and(2)evaluate the risk of invasiveness of the selected species under current and predicted climate *** the 84 species screened,there was an increase in those ranked as‘high risk’from 33(39.3%)under current climate conditions and to 47(56.0%)under global warming *** those ranked as‘very high’risk,the increase was from 6(7.1%)to 21(25.0%).Amongst the screened species,the already established high-risk species Pacific oyster Magallana gigas and Atlantic blue crab Callinectes sapidus represent a threat to ecosystem *** the under-representation of marine species in the current European Union List,the species we have ranked as high to very high risk should be included.

关键词： AS-ISK Early detection Introduction vectors/pathways Invasive species Rapid response

Evaluation of Mechanical Properties and Surface Quality of Wood from Bosnia and Herzegovina Exposed to Outdoor Conditions

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Journal of Renewable Materials 2024年第8期12卷 1417-1431页

作者： Redžo Hasanagić UmejrŠljivo Leila Fathi Pallavi Gautam Mohsen Bahmani Miha Humar Department of Wood Science and Technology Faculty of Technical EngineeringUniversity of BihaćBihać77000Bosnia and Herzegovina Department of Wood and Furniture Industry Engineering Faculty of Resources and Earth ScienceShahrekord UniversityShahrekord64165478Iran Department of Botany Institute of ScienceBanaras Hindu UniversityVaranasiUttar Pradesh221005India Biotechnical Faculty Department of Wood ScienceUniversity of LjubljanaLjubljana1501Slovenia

This study investigated the mechanical properties of beech(Fagus sylvatica L.)and fir(Abies alba)wood from Bosnia and Herzegovina under outdoor *** were exposed for 3-month exposure to assess bending strength,color changes,and surface *** showed outdoor exposure negatively affected mechanical properties,particularly in samples with extended finger joints,causing significant surface cracks in uncoated *** wood exhibited notable color changes under exposure,with approximately 50%darkening without coating compared to 25%under covered *** samples displayed minimal color changes,affirming the efficacy of surface *** wood exhibited a roughness of 8.264μm,while beechwood average roughness increased from 6.767 to 13.916μm after exposure,with micro-pore development affecting water *** analysis identified prevalent fungal colonies,including Penicillium,Aureobasidium,Sclerophoma,and Chaetomium,underscoring their role in organic matter *** study highlights the importance of wood exposure and treatment selection for various applications.

关键词： Mechanical properties outdoor conditions cracks wood species

Bifurcation Analysis of a Nonlinear Vibro-Impact System with an Uncertain Parameter via OPA Method

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工程与科学中的计算机建模(英文) 2024年第1期138卷 509-524页

作者： Dongmei Huang Dang Hong Wei Li Guidong Yang Vesna Rajic School of Mathematics and Statistics Xidian UniversityXi’an710071China Department of Mathematics Changzhi UniversityChangzhi046011China Department for Statistics and Mathematics Faculty of EconomicsUniversity of BelgradeBelgrade11000Serbia

In this paper,the bifurcation properties of the vibro-impact systems with an uncertain parameter under the impulse and harmonic excitations are ***,by means of the orthogonal polynomial approximation(OPA)method,the nonlinear damping and stiffness are expanded into the linear combination of the state *** condition for the appearance of the vibro-impact phenomenon is to be transformed based on the calculation of themean ***,the stochastic vibro-impact systemcan be turned into an equivalent high-dimensional deterministic non-smooth *** different Poincarésections are chosen to analyze the bifurcation properties and the impact numbers are identified for the periodic ***,the numerical results verify the effectiveness of the approximation method for analyzing the considered nonlinear ***,the bifurcation properties of the system with an uncertain parameter are explored through the high-dimensional deterministic *** can be found that the excitation frequency can induce period-doubling bifurcation and grazing *** the randomintensitymay result in a diffusion-based trajectory and the impact with the constraint plane,which induces the topological behavior of the non-smooth system to change *** is also found that grazing bifurcation appears in advance with increasing of the random *** stronger impulse force can result in the appearance of the diffusion phenomenon.

关键词： Orthogonal polynomial approximation vibro-impact systems non-smooth systems grazing bifurcation

Unleashing the potential of morphotropic phase boundary based hybrid triboelectric–piezoelectric nanogenerator

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Journal of Materiomics 2024年第4期10卷 792-802页

作者： Sugato Hajra Aneeta Manjari Padhan Basanta Kumar Panigrahi Phakkhananan Pakawanit Zvonko Jagličić Naratip Vittayakorn Yogendra Kumar Mishra Sanghoon Lee Hoe Joon Kim Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and TechnologyDaegu42988Republic of Korea Department of Electrical Engineering Siksha O Anusandhan UniversityBhubaneswar751030India Synchrotron research and Applications Division Synchrotron Light Research InstituteNakhon Ratchasima30000Thailand Institute of Mathematics Physics and Mechanics&Faculty of Civil and Geodetic EngineeringUniversity of LjubljanaJadranska191000LjubljanaSlovenia Advanced Materials research Unit Department of ChemistrySchool of ScienceKing Mongkut's Institute of Technology LadkrabangBangkok10520Thailand Mads Clausen Institute NanoSYDUniversity of Southern DenmarkAlsion 26400SønderborgDenmark Robotics and Mechatronics research Center Daegu Gyeongbuk Institute of Science and Technology(DGIST)Daegu42988Republic of Korea

Morphotropic phase boundary(MPB)-based ceramics are excellent for energy harvesting due to their enhanced physical properties at phase boundaries,broad operating temperature range,and ability to customize properties for efficient conversion of mechanical energy into electrical *** this work,Bi_(1–x)Na_(x)Fe_(1–x)Nb_(x)O_(3)(x=0.20,0.30,0.32 and 0.40,BNFNO abbreviation)based ceramics were synthesized using a solid-state route and blended with Polydimethylsiloxane(PDMS)to achieve flexible *** material characterization and energy harvesting were performed by designing a hybrid piezoelectric(PENG)-triboelectric(TENG)*** voltage and current of PENG,TENG,and hybrid bearing same device area(2 cm×2 cm)were recorded as 11 V/0.3μA;60 V/0.7μA;110 V/2.2μ*** strategies for enhancing the output performance of the hybrid device were evaluated,such as increased surface area(creating micro-roughness and porous morphology)and increasing electrode size and multi-layer hybrid device *** self-powered acceleration monitoring was demonstrated using the hybrid ***,the low-frequency-based wave energy is converted into electrical energy,confirming the usage of hybrid PENG-TENG devices as a base for battery-free sensors and blue energy harvesting.

关键词： Lead-free Acceleration Wave energy Morphotropic

Stress Knowledge Map:A knowledge graph resource for systems biology analysis of plant stress responses

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Plant Communications 2024年第6期5卷 17-31页

作者： Carissa Bleker Ziva Ramsak Andras Bittner Vid Podpecan Maja Zagorscak Bernhard Wurzinger Spela Baebler Marko Petek Maja Kriznik Annelotte van Dieren Juliane Gruber Leila Afjehi-Sadat Wolfram Weckwerth Anze Zupanic Markus Teige Ute CVothknecht Kristina Gruden Department of Biotechnology and Systems Biology National Institute of BiologyVecna pot 1211000 LjubljanaSlovenia Plant Cell Biology Institute of Cellular and Molecular BotanyUniversity of BonnKirschallee 153115 BonnGermany Department of Knowledge Technologies Jozef Stefan InstituteJamova cesta 391000 LjubljanaSlovenia Department of Functional&Evolutionary Ecology University of ViennaDjerassiplatz 11030 ViennaAustria Mass Spectrometry Unit Core Facility Shared ServicesUniversity of ViennaDjerassiplatz 11030 ViennaAustria

Stress Knowledge Map(SKM;https://***)is a publicly available resource containing two complementary knowledge graphs that describe the current knowledge of biochemical,signaling,and regulatory molecular interactions in plants:a highly curated model of plant stress signaling(PSS;543 reactions)and a large comprehensive knowledge network(488390 interactions).Both were constructed by domain experts through systematic curation of diverse literature and database *** provides a single entry point for investigations of plant stress response and related growth trade-offs,as well as interactive explorations of current *** is also formulated as a qualitative and quantitative model for systems biology and thus represents a starting point for a plant digital ***,we describe the features of SKM and show,through two case studies,how it can be used for complex analyses,including systematic hypothesis generation and design of validation experiments,or to gain new insights into experimental observations in plant biology.

关键词： knowledge graph plant stress responses plant signaling systems biology plant digital twin