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A simple method for automatic recreation of railway horizontal alignments

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Railway engineering Science 2025年第1期33卷 62-78页

作者： Alberte Castro Gerardo Casal Duarte Santamarina miguel e.Vázquez‑méndez Transportation and Infrastructure engineering Universidade de Santiago de CompostelaEPSERúa Benigno Ledo27002 LugoSpain Department of Applied mathematics Universidade de Santiago de CompostelaEPSERúa Benigno Ledo27002 LugoSpain CITmAga Rúa de Constantino Candeira15782 Santiago de CompostelaSpain

This paper deals with the problem of recreating horizontal alignments of existing railway *** main objective is to propose a simple method for automatically obtaining optimized recreated alignments located as close as possible to an existing *** on a previously defined geometric model,two different constrained optimization problems are *** first problem uses only the information provided by a set of points representing the track centerline while the second one also considers additional data about the existing *** proposed methodology consists of a two-stage process in which both problems are solved consecutively using numerical *** main results obtained applying this methodology are presented to show its performance and to prove its practical usefulness:an academic example used to compare with other methods,and a case study of a railway section located in Parga(Spain)in which the geometry of its horizontal alignment is successfully recovered.

关键词： Railway horizontal alignment Geometrical model Constrained optimization problem Numerical resolution

Hunting for a viral proxy in bioaerosols of swine buildings using molecular detection and metagenomics

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Journal of environmental Sciences 2025年第2期148卷 69-78页

作者： Valérie Létourneau marie-Josée Gagné Jonathan m.Vyskocil Vincent Brochu Kim Robitaille martin Gauthier Julie Brassard Caroline Duchaine Quebec Heart and Lung Institute Research Centre-UniversitéLaval 2725 Chemin Sainte-FoyQuebecG1V 4G5Canada Saint-Hyacinthe Research and Development Centre Agriculture and Agri-Food Canada3600 Casavant Boulevard WestSaint-HyacintheJ2S 8E3Canada Department of Biochemistry Microbiologyand Bio-informaticsFaculty of Science and EngineeringUniversitéLaval1045 Avenue de la MédecineQuebecG1V 0A6Canada The Swine and Poultry Infectious Diseases Research Centre Faculty of Veterinary Medicine of Universitéde Montréal3200 Rue SicotteSaint-HyacintheJ2S 2M2Canada

There are limited biosecurity measures directed at preventing airborne transmission of viruses in *** effectiveness of dust mitigation strategies such as oil sprinkling,to decrease risk of airborne virus transmission are *** and qPCR for common fecal viruses were used to hunt for a ubiquitous virus to serve as a proxy when evaluating the efficiency of mitigation strategies against airborne viral infectious *** particles were collected from swine buildings using high-volume air *** DNA and RNA were used to perform specific RT-qPCR and qPCR and analyzed by highthroughput *** astroviruses group 2 were common(from 102 to 105 genomic copies per cubic meter of air or gc/m^(3),93%positivity)while no norovirus genogroup II was recovered from air *** torque teno sus virus were detected by qPCR in low concentrations(from 101 to 102 gc/m^(3),47%positivity).Among the identified viral families by metagenomics analysis,Herelleviridae,microviridae,myoviridae,Podoviridae,and Siphoviridae were *** phage vB_Avim_AVP of Aerococcus was present in all air samples and a newly designed qPCR revealed between 101 and 105 gc/m^(3) among the samples taken for the present study(97%positivity)and banked samples from5-and 15-year old studies(89%positivity).According to the present study,both the porcine astrovirus group 2 and the phage vB_Avim_AVP of Aerococcus could be proxy for airborne viruses of swine buildings.

关键词： Bioaerosols Viral metagenomics Astrovirus Aerococcus phage Swine buildings

modeling net-charge fluctuations in heavy-ion collisions at the LHC

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Chinese Physics C 2025年第1期49卷 281-289页

作者： G.O.Ambaryan A.S.Chernyshov G.Kh.eyyubova V.L.Korotkikh I.P.Lokhtin S.V.Petrushanko A.m.Snigirev e.e.Zabrodin Physics Department Lomonosov Moscow State UniversityRU-119991 MoscowRussia Skobeltsyn Institute of Nuclear Physics Lomonosov Moscow State UniversityRU-119991 MoscowRussia Bogoliubov Laboratory of Theoretical Physics Joint Institute for Nuclear ResearchRU-141980 DubnaRussia Department of Physics University of OsloN-0316 OsloNorway

Analysis of Pb+Pb data for net-charge fluctuations at LHC energies using the HYDJeT++model is *** strongly intensive quantities D and Σ were used to remove the effects related to system volume *** employed two versions of HYDJeT++for the *** first one is the standard or default version,whereas the second one is a modification that takes into account explicit event-by-event conservation of the electric net-charge of produced *** inclusion of the canonical net-charge conservation in the model allows for better description of the experimental data obtained by the ALICe and CmS Collaborations.A comparison with calculations from other models is also presented.

关键词： relativistic heavy-ion collisions net-charge fluctuations strongly intensive variables canonical charge conservation

effects of rare-earth Pr^(3+)-Dy^(3+)doping on structural,magnetic,optical and dielectric properties of Zn_(2)Y hexaferrite

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Journal of Rare earths 2025年第2期43卷 329-336,I0004页

作者： Ibrahim mohammed mohamed e.el Sayed Ali Shawabkeh mohammad N.murshed Ibtehaj F.Alshdoukhi Zeinhom m.el-Bahy J.mohammed A.K.Srivastava Department of Physics Lovely Professional UniversityPhagwara14411PunjabIndia Department of Science Technology Waziri Umaru Federal Polytechnic Birnin KebbiPM.B 1034Birnin KebbiKebbiNigeria Physics Department Faculty of Science and ArtsKing Khalid UniversityMuhayl AsserSaudi Arabia College of engineering and Technology American University of the Middle East.Kuwait Department of Basic Sciences College of Science and Health ProfessionsKing Saud Bin Abdulaziz University for Health ScienceKing Abdullah International Medical Research CenterRiyadhSaudiArabia Department of Chemistry Faculty of ScienceAl-Azhar UniversityNasr City11884CairoEgypt Department of Physics Faculty of ScienceFederal University DutseP.M.B.7156DutseJigawaNigeria

This study was conducted to investigate the properties of Pr^(3+)-Dy^(3+)doped Zn_(2)Y-type hexaferrite for potential technological applications.X-ray diffraction(XRD),Fourier transform infrared spectroscopy(FTIR)and field-emission scanning electron microscopy(FeSem)were used to analyze structural *** crystallite size in the synthesized samples varies between 57.54 and 68.57 *** vibrational bands at 400 and 600 cm^(-1),common to all hexaferrites,were confirmed through *** FeSem analysis reveals an agglomeration of magnetic grains and a decrease in the average grain size from 1.24 to1.06μ*** m-H loops show that,with x values of 0.0,0.1,and 0.2,the saturation magnetization is determined to be 34.76,34.23,and 32.52 emu/g,*** corresponding coercivity values are21.24,30.39,and 33.99 ***-visible spectroscopy using Tauc theory reveals an increase in the optical band gap from 2.32 to 2.50 eV,indicating a tunable energy band structure by incorporating Pr^(3+)-Dy^(3+)*** dielectric constant increases,whereas AC conductivity decreases with increased Pr^(3+)-Dy^(3+)*** obtained results suggest the potential suitability of these materials for various technological applications.

关键词： Zn_(2)Y-type hexaferrite Pr^(3+)-Dy^(3+) magnetic hysteresis Optical band gap Dielectric constant Rare earths

Introducing System Identification Strategy into model Predictive Control

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Journal of Systems Science & Complexity 2020年第5期33卷 1402-1421页

作者： WANG Jianhong ricardo A.Ramirez-mendoza JORGe de J Lozoya santos School of electronic engineering and Automation Jiangri University of Science and TechnologyGanzhou343000China School of engineering and Sciences Tecnologico de MonterreyMonterreyAve.Eugenio Garza Sada 2501MonterreyN.L.64849Merico

As system identification theory and model predictive control are belonged to two different research fields separately,so one gap exists between these two *** alleviate this gap between them,one new idea proposed in this paper is to introduce system identification theory into model predictive *** the most important element in model predictive control is the prediction of the output value for a nonlinear system,then the problem of deriving the prediction of the output value can be achieved by system identification *** specifically,a Bayesian approach is applied for the nonparametric estimation by modeling the prediction as realizations of zero mean random *** comparing this kind of prediction corresponding to this Bayesian approach and the former direct weight optimization identification for nonlinear system,the authors see that if the unknown weights are chosen appropriately,these two approaches are equivalent to each *** on the obtained prediction of the output value,the authors substitute this prediction of the output value into one cost function of model predictive control,and then a quadratic programming problem with inequality constraints is *** to solve this quadratic programming problem,a detailed process about how to derive its dual form is *** the dual problem has a simple constraint set,it is amenable to the use of the common Gauss-Seidel algorithm,whose convergence can be shown ***,one simulation example confirms the proposed theoretical results.

关键词： equivalence model predictive control nonparametric estimation system identification

Discovering causal models for structural,construction and defense-related engineering phenomena

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Defence Technology(防务技术) 2025年第1期43卷 60-79页

作者： m.Z.Naser School of Civil&environmental engineering and earth Sciences(SCeeeS) Clemson UniversityClemsonSouth Carolina 29634USA The Artificial Intelligence Research Institute for Science and engineering(AIRISe) Clemson UniversityClemsonSouth Carolina 29634USA

Causality,the science of cause and effect,has made it possible to create a new family of *** models are often referred to as causal *** those of mathematical,numerical,empirical,or machine learning(mL)nature,causal models hope to tie the cause(s)to the effect(s)pertaining to a phenomenon(i.e.,data generating process)through causal *** paper presents one of the first works at creating causal models in the area of structural and construction *** this end,this paper starts with a brief review of the principles of causality and then adopts four causal discovery algorithms,namely,PC(Peter-Clark),FCI(fast causal inference),GeS(greedy equivalence search),and GRa SP(greedy relaxation of the sparsest permutation),have been used to examine four phenomena,including predicting the load-bearing capacity of axially loaded members,fire resistance of structural members,shear strength of beams,and resistance of walls against impulsive(blast)*** from this study reveal the possibility and merit of discovering complete and partial causal ***,this study also proposes two simple metrics that can help assess the performance of causal discovery algorithms.

关键词： Causality Causal discovery Directed acyclic graphs machine learning metrics

The sexually dimorphic expression of glutamate transporters and their implication in pain after spinal cord injury

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Neural Regeneration Research 2025年第11期20卷 3317-3329页

作者： Jennifer m.Colón-mercado Aranza I.Torrado-Tapias Iris K.Salgado Jose m.Santiago Samuel e.Ocasio Rivera Dina P.Bracho-Rincon Luis H.Pagan Rivera Jorge D.miranda Department of Physiology University of Puerto RicoMedical Sciences CampusSan JuanPRUSA National Institutes of Health National Human Genome Research InstituteBethesdaMDUSA Universidad Central del Caribe School of MedicineBayamónPRUSA University of Puerto Rico Carolina CampusCarolinaPRUSA Institute of Neurobiology San JuanPRUSA

In addition to the loss of motor function,~60% of patients develop pain after spinal cord *** cellular-molecular mechanisms are not well understood,but the data suggests that plasticity within the rostral,epicenter,and caudal penumbra of the injury site initiates a cellularmolecular interplay that acts as a rewiring mechanism leading to central neuropathic *** can lead to the formation of new connections triggering abnormal sensory *** excitatory glutamate transporters are responsible for the reuptake of extracellular glutamate which makes them a critical target to prevent neuronal hyperexcitability and *** previous studies showed a sexually dimorphic therapeutic window for spinal cord injury after treatment with the selective estrogen receptor modulator *** this study,we investigated the anti-allodynic effects of tamoxifen in male and female rats with spinal cord *** hypothesized that tamoxifen exerts anti-allodynic effects by increasing the expression of glutamate transporters,leading to reduced hyperexcitability of the secondary neuron or by decreasing aberrant *** and female rats received a moderate contusion to the thoracic spinal cord followed by subcutaneous slow-release treatment of tamoxifen or matrix pellets as a control(placebo).We used von Frey monofilaments and the“up-down method”to evaluate mechanical *** treatment decreased allodynia only in female rats with spinal cord injury revealing a sexdependent *** expression profile of glutamatergic transporters(excitatory amino acid transporter 1/glutamate aspartate transporter and excitatory amino acid transporter 2/glutamate transporter-1)revealed a sexual dimorphism in the rostral,epicenter,and caudal areas of the spinal cord with a pattern of expression primarily on *** rodents showed a significantly higher level of excitatory amino acid transporter-1 expression while male rodents showed increased

关键词： allodynia central neuropathic pain eAAT-1/GLAST eAAT-2/GLT-1 glutamate transporters selective estrogen receptor modulator sexual dimorphism spinal cord injury trauma

Optimal Distributed Dispatch of Smart multi-Agent energy Hubs Based on Consensus Algorithm Considering Lossy Communication Network and Uncertainty

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CSee Journal of Power and energy Systems 2025年第1期11卷 352-364页

作者： Abdelfattah A.eladl magda I.el-Afifi magdi m.el-Saadawi Bishoy e.Sedhom electrical engineering Department Faculty of EngineeringMansoura UniversityEl-MansouraEgypt

This paper proposes an IoT-Fog-Cloud distributed consensus algorithm for solving the energy hub(eH)dispatch problem with packet-dropping communication links and some of eH elements'*** generating and consumption unit in this algorithm is required to estimate total power generated,total load,and power *** node coordination is accomplished using a distributed *** a distributed approach wins in work sharing,enduring a single link failure,effective decision-making,quickest convergence,and autonomy for global power *** method works with all grid types in connected and islanded *** total operation cost and emissions while meeting total demand and system constraints are the most crucial contributions of this *** case studies are applied to explain performance and effectiveness of the proposed algorithm with different packet loss *** uncertainty,sensitivity of the system was *** show mismatch between generated and consumed power is improved by 100%in the electricity grid,99.94%in heating grid,and 99.91%in gas ***,total operating cost,total emissions,and emissions cost decreased by 8.6%,13.48%,and 18.73%,respectively.

关键词： Consensus algorithm CO_(2)emissions energy hubs multi-energy systems packet drops.

Intelligent fault detection and location scheme for modular multi‐level converter multi‐terminal high‐voltage direct current

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High Voltage 2021年第1期6卷 125-137页

作者： Qingqing Yang Jianwei Li ricardo santos Kaijia Huang Petar Igic Coventry University CoventryUK Department of engineering Science University of OxfordOxfordUK Centre of engineering Federal University of ABCSanto AndreBrazil DTU energy Technical University of DenmarkKongens LyngbyDenmark

In order to overcome the drawbacks of the conventional protection methods in high‐voltage direct current transmission lines, a deep learning approach is proposed that directly learn the fault conditions based on unsupervised feature extraction to the detection and location decision by leveraging the hidden layer activations of recurrent neural network. The deep‐recurrent neural network boosting with the gated recurrent unit compared with the long short‐term memory unit is used by analysing both the signal presented in time domain and frequency domain. The proposed method is tested based on a modular multilevel converter based four‐terminal high‐voltage direct current system. Various faults under different conditions were simulated against fault resistance, external faults and small disturbance immunity with the validity, and the simulation verified a high accuracy, robustness and fast results because of the utilization of characteristic feature extraction.

关键词： fault overcome high