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Machine learning assisted derivation of minimal low-energy models for metallic magnets

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npj Computational Materials 2023年第1期9卷 353-364页

作者： Vikram Sharma Zhentao Wang cristian D.Batista Department of Physics and Astronomy The University of TennesseeKnoxvilleTN 37996USA School of Physics and Astronomy University of MinnesotaMinneapolisMN 55455USA Quantum Condensed Matter Division and Shull-Wollan Center Oak Ridge National LaboratoryOak RidgeTN 37831USA Present address:Center for Correlated Matter and School of Physics Zhejiang UniversityHangzhou 310058China

We consider the problem of extracting a low-energy spin Hamiltonian from a triangular Kondo Lattice Model(KLM).The non-analytic dependence of the effective spin-spin interactions on the Kondo exchange excludes the use of perturbation theory beyond the second *** then introduce a Machine Learning(ML)assisted protocol to extract effective two-and four-spin *** resulting spin model reproduces the phase diagram of the original KLM as a function of magnetic field and single-ion anisotropy and reveals the effective four-spin interactions that stabilize the field-induced skyrmion crystal ***,this model enables the computation of static and dynamical properties with a much lower numerical cost relative to the original KLM.A comparison of the dynamical spin structure factor in the fully polarized phase computed with both models reveals a good agreement for the magnon dispersion even though this information was not included in the training data set.

关键词： Kondo dynamical derivation

Maintaining flexibility in smart grid consumption through deep learning and deep reinforcement learning

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Energy and AI 2023年第3期13卷 137-148页

作者： Fernando Gallego cristian Martin Manuel Diaz Daniel Garrido ITIS Software Institute University of MalagaMalagaSpain

The smart grid concept is key to the energy revolution that has been taking place in recent *** Grids have been present in energy research since their ***,the scarcity of data from different energy sources,hardware power,or co-simulation environments has hindered their *** advances in multi-agent-based systems,the possibility of simulating the behavior of different energy sources,combining real building consumption,and simulated data,storage batteries and vehicle charging points,has opened *** development has resulted in much research published using both simulated and physical *** these investigations show that the main problem is that the machine learning algorithms do not fully match the real behavior,it is complex to use them to replicate the different actions to be *** paper aims to combine the approach of behavior prediction with state-of-the-art techniques,such as deep learning and deep reinforcement learning,to simulate unknown or critical system scenarios.A very important element in smart grids is the possibility of maintaining consumption within specific ranges(flexibility).For this purpose,we have made use of Tensorflow libraries that predict energy consumption and deep reinforcement learning to select the optimal actions to be performed in our *** developed platform is flexible enough to include new technologies such as smart batteries,electric vehicles,etc.,and it is oriented to real-time operation,being applied in an on-going real project such as the European ebalance-plus project.

关键词： Multi-agent based system Smart grid Distributed energy resources

Renal cancer:From current evidence to future perspectives

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Asian Journal of Urology 2022年第3期9卷 199-200,F0002页

作者： cristian Fiori Francesco Porpiglia Departmentof Oncology-Universityof Turin SanLuigi HospitalOrbassanoTurinItaly

It hasbeen agreat honortohave the opportunityto serve as guest editors for this issue of the Asian Journal of Urology(AJU)on renal *** cell carcinoma(RCC)represents about 3%of all adultmalignanciesand95%ofallrenalmassesanditisstill one of the most lethal urological cancers[1].In the last decades,diagnosis and management of Rcc have rapidly *** incidental diagnosis of small cancers has become more frequent due to the wideruse of imaging techniques,active surveillance and nephron-sparing surgical techniques mainly performed with minimally invasive approaches have become popular.

关键词： diagnosis Renal cancer

A New Fuzzy Adaptive Algorithm to Classify Imbalanced Data

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Computers, Materials & Continua 2022年第1期70卷 73-89页

作者： Harshita Patel Dharmendra Singh Rajput Ovidiu Petru Stan Liviu cristian Miclea School of Information Technology&Engineering Vellore Institute of TechnologyVellore632014India Technical University of Cluj Napoca Faculty of Automation and Computer ScienceCluj Napoca400114Romania

Classification of imbalanced data is a well explored issue in the data mining and machine learning community where one class representation is overwhelmed by other *** Imbalanced distribution of data is a natural occurrence in real world datasets,so needed to be dealt with carefully to get important *** case of imbalance in data sets,traditional classifiers have to sacrifice their performances,therefore lead to *** paper suggests a weighted nearest neighbor approach in a fuzzy manner to deal with this *** have adapted the‘existing algorithm modification solution’to learn from imbalanced datasets that classify data without manipulating the natural distribution of data unlike the other popular data balancing *** K nearest neighbor is a non-parametric classification method that is mostly used in machine learning *** classification with the nearest neighbor clears the belonging of an instance to classes and optimal weights with improved nearest neighbor concept helping to correctly classify imbalanced *** proposed hybrid approach takes care of imbalance nature of data and reduces the inaccuracies appear in applications of original and traditional *** show that it performs well over the existing fuzzy nearest neighbor and weighted neighbor strategies for imbalanced learning.

关键词： Machine learning fuzzy classification nearest neighbor adaptive approach optimal weights

Exploring the asymmetric effect of COVID‑19 pandemic news on the cryptocurrency market:evidence from nonlinear autoregressive distributed lag approach and frequency domain causality

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Financial Innovation 2023年第1期9卷 692-749页

作者： Ştefan cristian Gherghina Liliana Nicoleta Simionescu Department of Finance Bucharest University of Economic Studies6 Romana Square010374 BucharestRomania

This paper explores the asymmetric effect of COVID-19 pandemic news,as measured by the coronavirus indices(Panic,Hype,Fake News,Sentiment,Infodemic,and Media Coverage),on the cryptocurrency *** daily data from January 2020 to September 2021 and the exponential generalized autoregressive conditional heter-oskedasticity model,the results revealed that both adverse and optimistic news had the same effect on Bitcoin returns,indicating fear of missing out behavior does not ***,when the nonlinear autoregressive distributed lag model is esti-mated,both positive and negative shocks in pandemic indices promote Bitcoin’s daily changes;thus,Bitcoin is resistant to the SARS-CoV-2 pandemic crisis and may serve as a hedge during market *** analysis of frequency domain causality supports a unidirectional causality running from the Coronavirus Fake News Index and Sentiment Index to Bitcoin returns,whereas daily fluctuations in the Bitcoin price Granger affect the Coronavirus Panic Index and the Hype *** findings may have significant policy implications for investors and governments because they highlight the impor-tance of news during turbulent *** empirical results indicate that pandemic news could significantly influence Bitcoin’s price.

关键词： COVID-19 Bitcoin NARDL EGARCH Frequency domain causality

Architectural typology of rural housing in Jaen,Peru

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Built Heritage 2022年第1期6卷 76-93页

作者： Floiran PeÑa-Huaman Diego Sifuentes-Rivera cristian Yarasca-Aybar Escuela Profesional de Arquitectura Universidad Peruana UnionLimaPeru

Jaén is one of the most important cities in the northern highlands of Peru due to its strategic location,commerce,and agricultural ***én has more than 185 thousand inhabitants,of which 48%live in rural areas,representing approximately 31 thousand rural *** research aims to determine the types of rural housing in Jaen,showing the possible variations and architectural manifestations due to the territorial and cultural characteristics.A field observation sheet has been used to study the rural dwellings of populated centres previously classified by altitudinal *** results show six architectural types of rural housing classified into two groups:"rural-residential housing"and"rural-agricultural housing"'These architectural types are generally located near water sources,within agricultural plots,and on *** architectural program is characterised by agricultural activity and family composition,which has grown over *** most commonly used construction systems are"pirca"and"quincha"',using natural materials such as"ichu"and *** is also evidence of cultural traditions rooted in the construction,such as"cambio de fuerzas""paracaico",and"minga".Therefore,the relevance of Jaen's rural housing is its geographical reading of the territory through the architectural and cultural legacy of these buildings.

关键词： Architectural typologies Peru Rural architecture Vernacular architecture Rural housing

Developing a TRL-oriented roadmap for the adoption of biocomposite materials in the construction industry

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Frontiers of Engineering Management 2023年第2期10卷 223-236页

作者： Tudor-cristian PETRESCU Johannes T.VOORDIJK Petru MIHAI Department of Structural Mechanics Faculty of Civil Engineering and Building ServicesGheorghe Asachi Technical University of Iasi700050 IasiRomania Department of Civil Engineering Faculty of Engineering TechnologyUniversity of Twente7552 LW Enschedethe Netherlands Department of Concrete MaterialsTechnology and ManagementFaculty of Civil Engineering and Building ServicesGheorghe Asachi Technical University of Iasi700050 IasiRomania

The construction industry is a major contributor to environmental *** effect of the construction industry on the environment may be mitigated using eco-friendly construction materials,such as *** developed,biocomposites may offer a viable alternative to the current materials in ***,biocomposites are lagging in terms of adoption and eventual use in the construction *** article provides insights into the steps for biocomposites to become a product that is ready to use by the construction industry in a structural *** development and the adoption of such a material is tackled with the use of two concepts,i.e.,technology readiness level and roadmapping,and explored in a case study on the“liquid wood”.Furthermore,interviews in the construction industry are carried out to identify the industry’s take on biocomposites.A customized roadmap,which underlines a mostly nontechnical perspective concerning this material,has ***,the adoption and diffusion issues that the“liquid wood”may encounter are outlined and complemented with further recommendations.

关键词： biocomposite technology readiness level roadmap interview “liquid wood”

Bacterial Cellulose-Based Janus Films with Radiative Cooling and Solar Heating Properties for All-Season Thermal Management

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Chinese Journal of Chemistry 2023年第20期41卷 2611-2618页

作者： Shukuan Shi cristian Valenzuela Yanzhao Yang Yuan Liu Binxuan Li Ling Wang Wei Feng School of Materials Science and Engineering Tianjin UniversityTianjin300350 China Tianjin Key Laboratory of Composite and Functional Materials Tianjin300350 China

Advanced radiative cooling materials with both heating and cooling mode is of pivotal importance for all-season energy-saving in *** this work,we report the design and fabrication of bacterial cellulose-based Janus films(J-BC)with radiative cooling and solar heating properties,which were developed by two-step vacuum-assisted filtration of modified MXene-doped bacterial cellulose and modified silicon nitride(Si_(3)N_(4))-doped bacterial cellulose,followed by hot-pressing and drying *** as-prepared J-BC films show a unique Janus structure where modified MXene nanosheets and cellulose nanofibers are on the bottom surface,and modified silicon nitride(Si_(3)N_(4))nanoparticles and cellulose nanofibers are on the top *** radiative cooling effect of J-BC films is enabled by the Si_(3)N_(4)-doped bacterial cellulose due to the high mid-infrared emissivity of Si_(3)N_(4) nanoparticles,which shows a high solar reflection of~98.1%and high emissivity of~93.6%in the atmospheric transparency window(8-13μm).Thanks to the enhanced photothermal conversion of the modified MXene nanosheets,a reduced solar reflection(6.6%)and relatively low thermal emissivity in the atmospheric window(71.4%)are achieved,making sure the solar heating effect of J-BC *** the outdoor tests,J-BC films achieve a sub-ambient temperature drop of~3.8°C and an above-ambient temperature rise of~14.2°*** prediction demonstrated that the J-BC films with dual modes have great potential of all-season energy saving for buildings and a corresponding energy-saving map in China is also *** work disclosed herein can provide an avenue for the shaping of advanced radiative cooling materials for emerging applications of personal thermal management,sustainable energy-efficient buildings,and beyond.

关键词： Bacterial cellulose MXene nanosheets Radiative cooling Solar heating Thermal management Nanostructures Nanoparticles Thin films

Smart Contract to Traceability of Food Social Selling

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Computers, Materials & Continua 2023年第3期74卷 4703-4728页

作者： cristian Valencia-Payan JoséFernando Grass-Ramírez Gustavo Ramirez-Gonzalez Juan Carlos Corrales University of Cauca Calle 5#4-70190003Popayan-CaucaColombia

Traditionally,food sustainability has been considered solely in the stage of agricultural ***,globalization,the expansion of the food production industry,and the emergence of supermarket chains that control the retail food market require specific significant changes in supply chains in the food sector and,therefore,we need to address the economic,social,and environmental impacts of these *** the other hand,social selling has increased rapidly in recent years,with a further boom,following current events related to the coronavirus disease(COVID-19).This explosion of social sales,where there are usually no control and regulation entities,can bring problems associated with mishandling *** this paper,we expose how Blockchain technology supports the traceability of social sales by validating the data provided by the chain participants such as digital health passports,production and transport data in the sale process;the proposed solution generates recommendations on productmanagement considering the agreements previously made by the network *** evaluate the proposed smart contracts,we useHyperledger Caliper,obtaining an average throughput of 12.6 transactions per second and an average latency of 0.3 s for the asset update *** also use a study case to evaluate the proposed project platform’s selling-transport stage using Internet of Things(IoT)sensors.

关键词： Blockchain reliability smart contracts social selling traceability artisan sweets