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FeedEfficiencyService: An architecture for the comparison of data from multiple studies related to dairy cattle feed efficiency indices

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Information Processing in Agriculture 2022年第3期9卷 378-396页

作者： Heitor Magaldi Linhares Regina Braga Wagner Antonio Arbex mariana magalhaes campos Fernanda campos Jose Maria N.David Victor Stroele Programa de Pos-Graduacao em Ciencia da Computacao Universidade Federal de Juiz de ForaCampus UniversitarioRua JoseLourenco Kelmers/n-Sao PedroJuiz de ForaMinas Gerais 36036-900Brasil Brazilian Agricultural Research Corporation-Embrapa Av.Eugenio do Nascimento610-AeroportoJuiz de Fora-MGMinas Gerais 36038-330Brasil

The increased demand for food worldwide,the reduced land availability for livestock pro-duction,the increasing cost of animal feed and the need for mitigating livestock-related greenhouse gas emissions have driven the search for animal feeding systems that proves more *** tackle this problem,we propose the use of computational support to help researchers compare data on feed efficiency,therefore improving economic and environ-mental *** a solution,we present an integrative architecture capable of combining heterogeneous data from multiple experiments related to dairy cattle feed efficiency *** proposed architecture,called FeedEfficiencyService,classifies animals according to feed efficiency indices and allows visualizations through ontologies and inference *** results obtained from a case study with researchers from the Brazilian Agri-cultural Research Corporation–Dairy Cattle(EMBRAPA)demonstrate that this architecture is a supporting tool in their daily work *** researchers highlighted the importance of the proposed architecture as it allows analyzing animal data,comparing experiments,having reliable data analyses,and standardizing and organizing data from *** novelty of our approach is the use of ontologies and inference engines to enable the discovery of new knowledge and new relationships between data from feed efficiency-related *** store such data,relationships,and analyses of results in an inte-grated *** solution ensures unified access to the processing history and data from diverse experiments,including those conducted at external research centers.

关键词： Dairy Cattle

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Targeting muscle to treat Charcot-Marie-Tooth disease

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Neural Regeneration Research 2024年第8期19卷 1653-1654页

作者： David Villarroel-campos James N.Sleigh Department of Neuromuscular Diseases and UCL Queen Square Motor Neuron Disease Centre UCL Queen Square Institute of NeurologyUniversity College LondonLondonUK UK Dementia Research Institute University College LondonLondonUK

Charcot-Marie-Tooth disease(CMT)is a hereditary peripheral neuropathy causing muscle weakness/wasting and sensory dysfunction predominantly in limb *** patients display gait abnormalities,foot deformities,loss of sens... 详细信息

关键词： Marie sensation neuropathy

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Deep learning for broadleaf weed seedlings classification incorporating data variability and model flexibility across two contrasting environments

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Artificial Intelligence in Agriculture 2024年第2期12卷 29-43页

作者： Lorenzo León Cristóbal campos Juan Hirzel Instituto de Investigaciones Agropecuarias(INIA) INIA QuilamapuAvda.Vicente Méndez 515ChillánChile Fundacion ObservatorioÑuble Arauco 340ChillanChile

The increasing deployment of deep learning models for distinguishing weeds and crops has witnessed notable strides in agricultural ***,a conspicuous gap endures in the literature concerning the training and testing of models across disparate environmental *** methodologies either delineate a single dataset distribution into training,validation,and testing subsets or merge datasets from diverse condi-tions or distributions before their division into the *** study aims to ameliorate this gap by extending to several broadleaf weed categories across varied distributions,evaluating the impact of training convolutional neural networks on datasets specific to particular conditions or distributions,and assessing their performance in entirely distinct settings through three *** evaluating diverse network architectures and training approaches(finetuning versus feature extraction),testing various architectures,employing different training strategies,and amalgamating data,we devised straightforward guidelines to ensure the model's deployability in contrasting environments with sustained precision and *** Experiment 1,conducted in a uniform environment,accuracy ranged from 80%to 100%across all models and training strategies,with finetune mode achieving a superior performance of 94%to 99.9%compared to the feature extraction mode at 80%to 92.96%.Experiment 2 underscored a significant performance decline,with accuracy fig-ures between 25%and 60%,primarily at 40%,when the origin of the test data deviated from the train and valida-tion *** 3,spotlighting dataset and distribution amalgamation,yielded promising accuracy metrics,notably a peak of 99.6%for ResNet in finetuning mode to a low of 69.9%for InceptionV3 in feature extraction *** pivotal findings emphasize that merging data from diverse distributions,coupled with finetuned training on advanced architectures like ResNet and MobileNet,markedly enhances

关键词： Artificial neural networks Deep learning Transfer learning Precision farming Feature extraction Finetuning Generalization Out-of-domain distribution Domain adaptation Multi-domain learning

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Analyzing the Wind-Dominant Electricity Market under Coexistence of Regulated and Deregulated Power Trading

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Energy Engineering 2024年第8期121卷 2093-2127页

作者： Yirui Li Dongliang Xiao Haoyong Chen Weijun Cai Josue campos do Prado School of Electric Power South China University of TechnologyGuangzhou510641China School of Engineering and Computer Science Washington State University VancouverVancouver98686USA School of Automation Guangdong University of TechnologyGuangzhou510006China

Currently,both regulated and deregulated power trading exist in China’s power system,which has caused imbalanced funds in the electricity *** this paper,a simulation analysis of the electricity market with wind energy resources is conducted,and the calculation methods of unbalanced funds are investigated *** detail,the calculation formulas of unbalanced funds are illustrated based on their definition,and a two-track electricity market clearing model is ***,the concept of the dual-track system is explained,and the specific calculation formulas of various types of unbalanced funds are ***,considering the renewable energy consumption,the market clearing model based on DC power flow is constructed and solved;by combining fitting methods of mid-and long-term curves,the unbalanced funds are calculated based on clearing results and formulas.

关键词： Dual-track system electricity market renewable energy unbalanced funds

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Are dogs not susceptible to retroviral infections?

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Animal Diseases 2024年第3期4卷 217-223页

作者： Jorge Casseb João Henrique campos Luciano Rodrigo Lopes Laboratory of Investigation in Dermatology and Immunodefciencies Department of DermatologyUniversity of São Paulo Medical SchoolSão PauloSPBrazil Igen-Institute of Immunogenetics São PauloSPBrazil Bioinformatics and Biomedical Data Science Division Health Informatics DepartmentUniversidade Federal de São Paulo–UNIFESP.Rua Botucatu 862Prédio Leal PradotérreoVila ClementinoCEP 04023-062São PauloSPBrazil

Retroviruses have been proven to cause infections and diseases in a series of mammalian hosts but not in ***,this letter discussed the dog susceptibility to retrovirus infection,encompassing arguments to understand why dogs may have not been infected by retroviruses thus *** potential resistance of retrovirus in dogs enables this provocative short communication to discuss this question,looking at some evolutive *** lineage of canids has shown,throughout its evolutionary history,a smaller accumulation of retroviruses in canid genomes,classifed as endogenous *** this context,the genomes of canids seem to ofer obstacles,which have been evolutionarily conserved,in the face of retroviral infection.

关键词： Retrovirus dogs Endogenous retrovirus

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Wear protection assessment of ultralow viscosity lubricants in high-power-density engines:A novel wear prediction algorithm

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Friction 2024年第8期12卷 1785-1800页

作者： Javier BLANCO-RODRÍGUEZ Jacobo PORTEIRO JoséA.LÓPEZ-campos MartíCORTADA-GARCÍA Silvia FERNÁNDEZ-CASTEJÓN CINTECX Universidade de VigoLagoas-Marcosende s/nVigo 36310Spain Repsol SA MadridSpain

Durability and reliability have been studied for decades through intensive trial-error ***,there are numerous fields of application where the costs associated with this approach are not *** lubricated machines with severe dynamic loads,such as high-power-density engines,simulation tools offer clear advantages over intensive *** and multiple scenarios can be cost-effectively simulated to assess different lubricants and engine *** work presented here details the study of wear based on a validated elastohydrodynamic(EHD)simulation model of the connecting rod journal *** model accounts for elastic deformation through a connecting rod finite element model(FEM).In addition,multiple lubricant rheological and tribological dependences,determined by specific experimental tests,are applied in the model through their interaction with the simulation ***,a novel wear algorithm is proposed to predict wear depth over time evolution along a proposed wear cycle based on the typical working ranges of high-performance engines.A final assessment is presented to compare 4 different ultralow-viscosity lubricants in their protective performance under severe *** results show the evolution of the wear load and wear depth over the wear *** evaluation is key to describing a lubricant selection procedure for high-power-density engines.

关键词： wear modelling finite element modelling mixed lubrication elastohydrodynamic(EHD) internal combustion engines bearings

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Machine learning algorithm partially reconfigured on FPGA for an image edge detection system

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Journal of Electronic Science and Technology 2024年第2期22卷 48-68页

作者： Gracieth Cavalcanti Batista Johnny Oberg Osamu Saotome Haroldo F.de campos Velho Elcio Hideiti Shiguemori Ingemar Soderquist Division of Electronic and Embedded Systems KTH Royal Institute of TechnologyStockholm 16440Sweden Electronic Engineering Division Aeronautics Institute of TechnologySao Josédos Campos SP 12228-900Brazil Laboratory of Applied Computing and Mathematics National Institute for Space ResearchSao Josédos Campos SP 12227-900Brazil Department of C4ISR Institute of Advanced StudiesSao Josédos Campos SP 12228-001Brazil Saab AB Linkoping 58188Sweden

Unmanned aerial vehicles(UAVs)have been widely used in military,medical,wireless communications,aerial surveillance,*** key topic involving UAVs is pose estimation in autonomous navigation.A standard procedure for this process is to combine inertial navigation system sensor information with the global navigation satellite system(GNSS)***,some factors can interfere with the GNSS signal,such as ionospheric scintillation,jamming,or *** alternative method to avoid using the GNSS signal is to apply an image processing approach by matching UAV images with georeferenced *** a high effort is required for image edge *** a support vector regression(SVR)model is proposed to reduce this computational load and processing *** dynamic partial reconfiguration(DPR)of part of the SVR datapath is implemented to accelerate the process,reduce the area,and analyze its granularity by increasing the grain size of the reconfigurable *** show that the implementation in hardware is 68 times faster than that in *** architecture with DPR also facilitates the low power consumption of 4 mW,leading to a reduction of 57%than that without *** is also the lowest power consumption in current machine learning hardware ***,the circuitry area is 41 times *** with Gaussian kernel shows a success rate of 99.18%and minimum square error of 0.0146 for testing with the planning *** system is useful for adaptive applications where the user/designer can modify/reconfigure the hardware layout during its application,thus contributing to lower power consumption,smaller hardware area,and shorter execution time.

关键词： Dynamic partial reconfiguration(DPR) Field programmable gate array(FPGA)implementation Image edge detection Support vector regression(SVR) Unmanned aerial vehicle(UAV) pose estimation

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A dynamic database of solid-state electrolyte(DDSE)picturing all-solid-state batteries

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Nano Materials Science 2024年第2期6卷 256-262页

作者： Fangling Yang Egon campos dos Santos Xue Jia Ryuhei Sato Kazuaki Kisu Yusuke Hashimoto Shin-ichi Orimo Hao Li Advanced Institute for Materials Research(WPI-AIMR) Tohoku UniversitySendai980-8577Japan Key Laboratory of Radiation Physics and Technology Ministry of EducationCollege of PhysicsSichuan UniversityChengdu610065People's Republic of China Institute for Materials Research(IMR) Tohoku UniversitySendai980-8577Japan Tohoku Forum for Creativity Tohoku UniversitySendai980-8577Japan

All-solid-state batteries(ASSBs)are a class of safer and higher-energy-density materials compared to conventional devices,from which solid-state electrolytes(SSEs)are their essential *** date,investigations to search for high ion-conducting solid-state electrolytes have attracted broad ***,obtaining SSEs with high ionic conductivity is challenging due to the complex structural information and the less-explored structure-performance *** provide a solution to these challenges,developing a database containing typical SSEs from available experimental reports would be a new avenue to understand the structureperformance relationships and find out new design guidelines for reasonable ***,a dynamic experimental database containing>600 materials was developed in a wide range of temperatures(132.40–1261.60 K),including mono-and divalent cations(e.g.,Li^(+),Na^(+),K^(+),Ag^(+),Ca^(2+),Mg^(2+),and Zn^(2+))and various types of anions(e.g.,halide,hydride,sulfide,and oxide).Data-mining was conducted to explore the relationships among different variates(e.g.,transport ion,composition,activation energy,and conductivity).Overall,we expect that this database can provide essential guidelines for the design and development of high-performance SSEs in ASSB *** database is dynamically updated,which can be accessed via our open-source online system.

关键词： Solid-state electrolyte(SSE) All-solid-state battery(ASSB) Ionic conductivity Dynamic database Machine learning

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Breaking paradigms: Long non-coding RNAs forming gene fusions with potential implications in cancer

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Genes & Diseases 2024年第3期11卷 311-323页

作者： David Sanchez-Marin Macrina Beatriz Silva-Cazares Fany Iris Porras-Reyes Rebeca Garcia-Roman Alma D.campos-Parra Posgrado en Ciencias Biologicas Facultad de MedicinaUniversidad Nacional Autonoma de MexicoCiudad de MexicoC.P.04360Mexico Unidad Academica Multidisciplinaria Region Altiplano Universidad Autonoma de San Luis Potost(UASLP)Carretera a Cedral Km 5+600Ejido San Jose de la TrojesMatehualaSan Luis PotosiC.P.78760Mexico Servicio de Anatomia Patologica Instituto Nacional de Cancerologia(INCan)Nino JesuisTlalpanCiudaddeMexicoC.P.14080Mexico Instituto de Salud Publica Universidad Veracruzana(UV)Av.Dr LuisDr.Castelazo Ayala s/nCol.Industrial AnimasXalapaVeracruzC.P.91190Mexico

Long non-coding RNAs(lncRNAs)are non-coding RNAs longer than 200 nucleotides with dynamic regulatory *** interact with a wide range of molecules such as DNA,RNA,and proteins to modulate diverse cellular functions through several mechanisms and,if deregulated,they can lead to cancer development and ***,it has been described that IncRNAs are susceptible to form gene fusions with mRNAs or other IncRNAs,breaking the paradigm of gene fusions consisting mainly of protein-coding ***,their biological significance in the tumor phenotype is still ***,their recent identification opens a new line of research to study their biological role in tumor-igenesis,and their potential as biomarkers with clinical relevance or as therapeutic *** present study aimed to review the IncRNA fusions identified so far and to know which of them have been associated with a potential *** address the current challenges to deepen their study as well as the reasons why they represent a future therapeutic window incancer.

关键词： Cancer Genefusions IncRNAs ncRNAs Therapy

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Histological Assessment of Bone Regeneration in the Maxilla with Homologous Bone Graft:A Feasible Option for Maxillary Bone Reconstruction

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Journal of Renewable Materials 2024年第1期12卷 131-148页

作者： Sergio Henrique Gonçalves Motta Ana Paula Ramos Soares Juliana campos Hasse Fernandes Gustavo Vicentis Oliveira Fernandes Graduate Center of Faculdade Redentor CLIVORio de JaneiroBrazil Periodontics and Oral Medicine Department University of Michigan School of DentistryAnn ArborMI48109USA Centre for Interdisciplinary Research in Health(CIIS) Universidade Católica PortuguesaViseu3504-505Portugal

Bone biomaterials have been increasingly used to reconstruct maxillary atrophic ***,the aim of this study was to evaluate bone reconstruction in the maxilla using a homologous cortico-cancellous FFB(lyophilized)graft and verify its *** individuals were included from 2014 to *** first surgery was performed to install homologous bone blocks in the *** period of the second intervention varied between 5 months and 15 days to 11 months(≈7.93 months).The biopsies were taken from the central region of the matured graft during the surgery for implant *** patients presented clinical and radiographic conditions for the installation of dental *** was a 100%of survival *** histological assessment showed that the homologous block bone graft was an osteoconductive biomaterial,with connective tissue present,and newly formed bone juxtaposed on its *** were bone trabeculae with osteocytes and active osteoblasts with connective tissue in the mineralization process;the remodeling process can be found through the reverse lines.A limited focus of necrosis with fibrosis was detected,with small resorption and areas of inflammatory infiltrate,but without clinical *** homologous block bone graft can be considered a feasible option to substitute the autogenous bone graft(gold standard),with predictable clinical and favorable histological *** patients had a shorter surgical period,low morbidity,and an unlimited amount of biomaterial available at an accessible cost.

关键词： Regeneration bone graft histology homologous allogenous autogenous

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