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Optimum insulation thickness and exergy savings of building walls in Bamenda: a comparative analysis

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Energy Storage and Saving 2024年第1期3卷 60-70页

作者： Fodoup Cyrille Vincelas Fohagui Yemeli Wenceslas Kohole Njimboh Henry Alombah derek Ajesam Asoh Ghislain Tchuen Department of Electrical and Electronics Engineering College of TechnologyThe University of BamendaP.O.Box 39BambiliCameroon Department of Energetic Environment and Thermal EngineeringIUT-FV BandjounUR-ISIEUniversity of DschangP.O.Box 134BandjounCameroon National Higher Polytechnic Institute and Higher Technical Teacher Training College The University of BamendaP.O.Box 39BambiliCameroon

The goal of this study is to examine the energetic,entransy,and exergetic methodologies employed to estimate the ideal insulation thickness for construction walls in terms of cost and ecological *** achieve these goals,the life cycle cost analysis-based insulating thicknesses of the various methods are evaluated along with the overall costs,yearly cost reductions,and total *** fuel consumption,CO_(2) emissions,and ecological effects are then compared using an environmental analysis based on the three *** savings of hollow concrete brick(HCB),compressed stabilized earth brick(CSEB),and sundried earth brick(SEB)walls are evaluated along with the insulation thicknesses in terms of cost and ecological *** a result,it is determined that the exergetic technique is better suited for optimizing insulating *** CSEB,SEB,and HCB walls,the economic ideal insulation thicknesses are 0.01 m,0.016 m,and 0.02 m,with yearly financial savings of 5$⋅m^(-2),7.5$⋅m^(-2),and 9$⋅m^(-2).For CSEB,SEB,and HCB walls,accordingly,the ecological optimal insulation thicknesses are 0.023 m,0.032 m,and 0.040 m,with net savings of exergetic ecological impact equal to 59 mPts⋅m^(-2),55 mPts⋅m^(-2),and 51 mPts⋅m^(-2).

关键词： Insulation thickness Environmental impact Entransy Exergy Exergoeconomic

A Radial Basis Function Method with Improved Accuracy for Fourth Order Boundary Value Problems

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Journal of Applied Mathematics and Physics 2024年第7期12卷 2559-2573页

作者： Scott A. Sarra derek Musgrave Marcus Stone Joseph I. Powell Department of Mathematics Marshall University Huntington WV USA

Accurately approximating higher order derivatives is an inherently difficult problem. It is shown that a random variable shape parameter strategy can improve the accuracy of approximating higher order derivatives with Radial Basis Function methods. The method is used to solve fourth order boundary value problems. The use and location of ghost points are examined in order to enforce the extra boundary conditions that are necessary to make a fourth-order problem well posed. The use of ghost points versus solving an overdetermined linear system via least squares is studied. For a general fourth-order boundary value problem, the recommended approach is to either use one of two novel sets of ghost centers introduced here or else to use a least squares approach. When using either ghost centers or least squares, the random variable shape parameter strategy results in significantly better accuracy than when a constant shape parameter is used.

关键词： Numerical Partial Differential Equations Boundary Value Problems Radial Basis Function Methods Ghost Points Variable Shape Parameter Least Squares

Synthesis of 4-[F-18]Fluoro-4-Deoxy-N-Acetyl-1,3,6-Tri-O-Acetylglucosamine, a Potential Brain Imaging PET Agent

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Natural Science 2024年第3期16卷 19-23页

作者： Murthy Akula derek Cressy Lee Collier George Kabalka Dustin Osborne Department of Radiology The University of Tennessee Medical Center Knoxville USA Advion Biosciences Ithaca USA

The synthesis of a promising brain imaging agent 4-[F-18]fluoro-4-deoxy-N-acetyl-1,3,6-tri-O-acetylglucosamine, 2, was successfully accomplished from commercially available N-acetyl glucosamine in 5 steps. The non-decay corrected radiochemical yield and purity were found to be 31% ± 4% (n = 3) and >98% respectively. The total reaction time for radio labelling step was 50 min.

关键词： N-Acetylglucosamine Amyloidogenesis Lipase-Candida rugosa

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互惠合作系统的非对称性和不确定性

Journal of Plant Ecology 2024年第1期17卷 172-186页

作者： Rui-Wu Wang An-Na Shi Xiao-Wei Zhang Min Liu K.Charlotte Jandér derek W.Dunn School of Ecology and Environment Northwestern Polytechnical UniversityXi’an 710072China Faculty of Education University of MalayaKuala Lumpur 50400Malaysia College of Life Sciences Shaanxi Normal UniversityXi’an 710119China Department of Organismic and Evolutionary Biology Harvard UniversityMA 02138USA College of Life Sciences Northwest UniversityXi’an 710069China

过去的几十年里,尽管对互惠合作系统稳定性的理解取得了较大的进展,但在解释互惠关系如何保持稳定方面仍然存在两个基本问题。(i)如何解决互惠合作双方之间的资源冲突?(ii)当存在不怎么合作和/或完全不合作的共生体时,为什么合作的共生... 详细信息

过去的几十年里,尽管对互惠合作系统稳定性的理解取得了较大的进展,但在解释互惠关系如何保持稳定方面仍然存在两个基本问题。(i)如何解决互惠合作双方之间的资源冲突?(ii)当存在不怎么合作和/或完全不合作的共生体时,为什么合作的共生体没有被不合作的个体竞争排斥掉?过去许多关于互惠稳定性的解释都假设互惠合作双方的相互作用是对称的。然而,在大多数共生关系中,宿主和共生体之间的相互作用在不同水平上表现出不同程度的非对称性。本文我们回顾了互惠合作系统中的三种主要的非对称相互作用:(i)收益非对称,也就是合作双方的实力非对称性;(ii)潜在进化速率非对称性;(iii)宿主和共生体之间的信息非对称性。我们认为,互惠合作系统非对称性有助于解释合作和冲突行为的不确定性(合作与竞争的内生不确定性),以及为什么宿主和共生体都呈现出多样化的表型特征,而合作仍可占主导地位。

关键词：互利共生不对称相互作用宿主惩罚进化速率欺骗

Future climate change decreases multi-pathway but increases respiratory human health risks of PAHs across China

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National Science Open 2024年第2期3卷 128-147页

作者： Jiaao Bao Xinghui Xia Ying Zhu Bingxiang Zhao Erxue Gu Yanan Liu Xiao Yun Zhenrui Zhang Nannan Xi Yong Geng Ying Xu Zhifeng Yang derek C.G.Muir Key Laboratory of Water and Sediment Sciences of Ministry of Education State Key Laboratory of Water Environment SimulationSchool of EnvironmentBeijing Normal UniversityBeijing 100875China State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants School of Environmental Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China College of Urban and Environmental Sciences Laboratory for Earth Surface ProcessesSino-French Institute for Earth System SciencePeking UniversityBeijing 100871China National Climate Center China Meteorological AdministrationBeijing 100081China Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education Institute of Environmental and Ecological EngineeringGuangdong University of TechnologyGuangzhou 510006China Aquatic Contaminants Research Division Environment and Climate Change CanadaBurlington L7S 1A1Canada

Future climate change will affect the environmental fate of hydrophobic organic contaminants(HOCs)and associated human health risks,yet the extent of these effects remains ***,we couple a high-resolution environmental multimedia model with a bioaccumulation model to study the multimedia distribution of 16 priority polycyclic aromatic hydrocarbons(PAHs),a group of HOCs,and assess future PAH-related human health risks under varying climate change scenarios over China at a continental *** removing the effects of PAH emission changes,we find that the total PAH concentrations would decrease in the air,freshwater,sediment,soil,and organisms,while the high-molecular-weight PAH would increase in the air with climate warming from 1.5°C to 4°***,the multi-pathway exposure human health risks predominately influenced by dietary ingestion are expected to decrease by 1.7%–20.5%,while the respiratory risks are projected to rise by 0.2%–5.8%in the ***,the persistently high multi-pathway human health risks underscore the need for reducing future PAH emissions by 69%compared with 2009 levels in *** study demonstrates the urgency of limiting PAH emissions under future climate change for public health and highlights the importance of including the contribution of dietary ingestion in human health risk assessment.

关键词： polycyclic aromatic hydrocarbons future climate change human health risks emission reduction

Machine learning classification approach for formation delineation at the basin-scale

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Petroleum Research 2022年第2期7卷 165-176页

作者： derek Vikara Vikas Khanna Department of Civil and Environmental Engineering University of PittsburghPittsburghPA15261United States KeyLogic Systems LLCMorgantownWV26505United States Department of Chemical and Petroleum Engineering University of PittsburghPittsburghPA15261United States

Machine learning and artificial intelligence approaches have rapidly gained popularity for use in many subsurface energy *** are seen as novel methods that may enhance existing capabilities,providing for improved efficiency in exploration and production ***,their inte-gration into reservoir management workflows may shape the future landscape of the energy *** study implements a framework that generates predictive models using multiple machine learning classification-based algorithms which can identify specific stratigraphic units(i.e.,formations)as a function of total vertical depth and spatial *** framework is applied in a case study to 13 specific formations of interest(Upper Spraberry through Atoka/Morrow reservoirs)in the Midland Basin,West Texas,United States;a prominent hydrocarbon producing sub-basin of the larger Permian *** study dataset consists of over 275,000 records and includes data fields like formation iden-tifier,true vertical depth(in feet)of formations observed,and latitude and longitude coordinates(in decimal degrees).A subset of 134,374 data records were relevant to the 13 distinct formations of interest and were extracted and used for machine learning model training,validation,and *** super-vised learning approaches including random forest(RF),gradient boosting(GB),support vector machine(SVM),and multilayer perceptron neural network(MLP)were evaluated and their prediction accuracy *** best performing model was ultimately built on the RF algorithm and is capable of an overall prediction accuracy of 93 percent on holdout *** RF-based model demonstrated high prediction accuracy for major oil and gas producing zones including the San Andres,Upper Spraberry,Lower Spraberry,Clearfork,and Wolfcamp at 98,94,89,94,and 94 percent ***,the resulting data-driven model provides a robust,cost-effective approach which can complement contemporary reservoir manag

关键词： Permian basin Midland basin K-means clustering Random forest Classification machine learning

Visualization of real-time displacement time history superimposed with dynamic experiments using wireless smart sensors and augmented reality

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Earthquake Engineering and Engineering Vibration 2023年第3期22卷 573-588页

作者： Marlon Aguero derek Doyle David Mascarenas Fernando Moreu Department of Civil Construction and Environmental EngineeringUniversity of New MexicoCentennial Engineering Center 3056MSC011070210 University Blvd NEAlbuquerqueNM 87131USA Air Force Research Laboratory Space Vehicles DirectorateKirtland Air Force BaseAlbuquerqueNM 87117USA Engineering Institute Los Alamos National LaboratoryLos AlamosNM 8754USA

Wireless smart sensors(WSS)process field data and inform inspectors about the infrastructure health and *** bridge engineering,inspectors need reliable data about changes in displacements under loads to make correct decisions about repairs and *** to displacement information in the field and in real-time remains a challenge as inspectors do not see the data in real *** data from WSS in the field undergoes additional processing and is seen at a different *** inspectors were able to see structural displacements in real-time at the locations of interest,they could conduct additional observations,creating a new,information-based,decision-making reality in the *** paper develops a new,human-centered interface that provides inspectors with real-time access to actionable structural data during inspection and monitoring enhanced by augmented reality(AR).It summarizes and evaluates the development and validation of the new human-infrastructure interface in laboratory *** experiments demonstrate that the interface that processes all calculations in the AR device accurately estimates dynamic displacements in comparison with the *** this new AR interface tool,inspectors can observe and compare displacement data,share it across space and time,visualize displacements in time history,and understand structural deflection more accurately through a displacement time history visualization.

关键词： wireless smart sensor monitoring augmented reality displacement acceleration human-infrastructure interface

Seismic behavior assessment for design of integral abutment bridges in Illinois

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Earthquake Engineering and Engineering Vibration 2022年第2期21卷 573-589页

作者： derek L.Kozak Larry A.Fahnestock James M.LaFave KPFF Consulting Engineers Inc 1601 Fifth AvenueSuite 1600SeattleWA 98101USA Dept.of Civil and Environmental Engineering Univ.of Illinois Urbana-ChampaignUrbanaIL 61801USA

Integral abutment bridges(IABs)minimize deterioration and degradation of the abutment seats and bearings due to water,dirt,and deicing chemicals by eliminating bearings and expansion *** the continuity between superstructure and abutments in an IAB is beneficial for reducing maintenance costs,it leads to more complex behavior under strength and service loading(temperature and traffic)and extreme loading(earthquake).The coupling of superstructure and substructure behavior necessitates system-level analysis of *** seismic IAB studies have typically investigated the behavior of individual IAB components,however a gap of knowledge has developed due to the lack of studies and investigation about the behavior of all IAB components and their interactions with each other in a single analysis *** study uses nonlinear static and dynamic analyses to investigate and assess the seismic behavior of IABs typical to the state of *** analyses aim to bridge the gap of knowledge by evaluating IABs as a whole and utilizing the results to indicate potential vulnerabilities in the design and construction of IABs in Illinois during design-level and larger seismic events,which could not be identified by component-level IAB analyses alone.

关键词： structural analysis seismic design bridge design structural models seismic analysis

Maximum Independent Sets and Supervised Learning

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Journal of the Operations Research Society of China 2023年第4期11卷 957-972页

作者： Roberto Montemanni derek H.Smith Xiao-Chen Chou Department of Sciences and Methods for Engineering University of Modena and Reggio EmiliaVia Amendola 242122Reggio EmiliaItaly School of Computing and Mathematics University of South WalesPontypriddCF371DLWalesUK

The paper discusses an enhancement to a recently presented supervised learning algorithm to solve the Maximum Independent Set *** particular,it is shown that the algorithm can be improved by simplifying the task learnt by the neural network adopted,with measurable effects on the quality of the solutions provided on unseen *** results are presented to validate the idea..

关键词： Maximum Clique problem Maximum Independent Set problem Machine learning Graph theory