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Applying machine Learning Approach to Explore Childhood Circumstances and Self-Rated Health in Old Age-China and the US,2020-2021

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China CDC weekly 2024年第11期6卷 213-218,I0008-I0013页

作者： Shutong Huo derek Feng Thomas m.Gill Xi Chen Department of Health Society&BehaviorPublic HealthUniversity of CaliforniaIrvineCAUSA Department of Statistics and Data Science Yale UniversityNew HavenCTUS Department of Internal medicine Yale School of MedicineNew HavenCTUS Department of Health Policy and management Yale School of Public HealthNew HavenCTUS Department of Economics Yale UniversityNew HavenCTUS.

Introduction:Childhood circumstances impact senior health,prompting the introduction of machine learning methods to assess their individual and collective contributions to senior ***:Using health and retirement study(HRS)and China Health and Retirement Longitudinal Study(CHARLS),we analyzed 2,434 American and 5,612 Chinese participants aged 60 and *** inference trees and forests were employed to estimate the influence of childhood circumstances on self-rated health(SRH).Results:The conventional method estimated higher inequality of opportunity(IOP)values in both China(0.039,accounting for 22.67%of the total Gini coefficient 0.172)and the US(0.067,accounting for 35.08%of the total Gini coefficient 0.191).In contrast,the conditional inference tree yielded lower estimates(China:0.022,accounting for 12.79%of 0.172;US:0.044,accounting for 23.04%of 0.191),as did the forest(China:0.035,accounting for 20.35%of 0.172;US:0.054,accounting for 28.27%of 0.191).Childhood health,financial status,and regional differences were key determinants of senior *** conditional inference forest consistently outperformed others in predictive accuracy,as demonstrated by lower out-of-sample mean squared error(mSE).Discussion:The findings emphasize the need for early-life interventions to promote health equity in aging *** learning showcases the potential in identifying contributing factors.

关键词： collective inequality estimates

Realization of flexible in-memory computing in a van der Waals ferroelectric heterostructure tri-gate transistor

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Nano Research 2024年第3期17卷 1886-1892页

作者： Xinzhu Gao Quan Chen Qinggang Qin Liang Li meizhuang Liu derek Hao Junjie Li Jingbo Li Zhongchang Wang Zuxin Chen School of Semiconductor Science and Technology South China Normal UniversityFoshan 528225China Guangdong Provincial Key Laboratory of Chip and Integration Technology Guangzhou 510631China Institute of Solid State Physics Hefei Institutes of Physical Science Chinese Academy of SciencesHefei 230601China School of Science STEM CollegeRMIT UniversityMelbourne 3000Australia CAS Key Laboratory of Functional materials and Devices for Special Environments Xinjiang Technical Institute of Physics&ChemistryChinese Academy of SciencesUrumqi 830011China Center of materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China College of Optical Science and Engineering Zhejiang UniversityHangzhou 310027China International Iberian Nanotechnology Laboratory(INL) Av.Mestre Jose Veiga s/nBraga 4715-330Portugal

Combining logical function and memory characteristics of transistors is an ideal strategy for enhancing computational efficiency of transistor ***,we rationally design a tri-gate two-dimensional(2D)ferroelectric van der Waals heterostructures device based on copper indium thiophosphate(CuInP_(2)S_(6))and few layers tungsten disulfide(WS_(2)),and demonstrate its multi-functional applications in multi-valued state of data,non-volatile storage,and logic *** co-regulating the input signals across the tri-gate,we show that the device can switch functions flexibly at a low supply voltage of 6 V,giving rise to an ultra-high current switching ratio of 107 and a low subthreshold swing of 53.9 mV/*** findings offer perspectives in designing smart 2D devices with excellent functions based on ferroelectric van der Waals heterostructures.

关键词： two-dimensional(2D)ferroelectric heterostructure tri-gate polymorphic regulation in-memory computing

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

Nanoscale electropolishing of high-purity nickel with an ionic liquid

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International Journal of minerals,metallurgy and materials 2019年第5期26卷 649-656页

作者： Jon derek Loftis Tarek m.Abdel-Fattah Applied Research Center at Thomas Jefferson National Accelerator Facility and Department of molecular Biology and Chemistry at Christopher Newport University Department of Physical Sciences Virginia Institute of Marine Science College of William and Mary Faculty of Sciences Alexandria University

High purity(>99.9% composition) nickel metal specimens were used in electropolishing treatments with an acid-free ionic liquid electrolyte prepared from quaternary ammonium salts as a green polishing solution. Voltammetry and chronoamperometry tests were conducted to determine the optimum conditions for electrochemical polishing. Atomic force microscopy(AFm) revealed nanoscale effectiveness of each polishing treatment. Atomic force microscopy provided an overall observation of the material interface between the treated and unpolished regions. Surface morphology comparisons summarized electrochemical polishing efficiency by providing root-mean-square roughness averages before and after electrochemical polishing to reveal a mirror finish six times smoother than the same nickel metal surface prior to electropolishing. This transition manifested in a marked change in root-mean-squared roughness from 112.58 nm to 18.64 nm and producing a smooth mirror finish. Finally, the mechanism of the ionic liquid during electropolishing revealed decomposition of choline in the form of a transient choline radical by acceptance of an electron from the nickel-working electrode to decompose to trimethylamine and ethanol.

关键词： electrochemical polishing ionic liquid Ni 2EG:1VB4

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

Hardy spaces on Lie groups of polynomial growth

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Science China mathematics 2010年第1期53卷 23-40页

作者： ter ELST A F m ROBINSON derek W Department of mathematics University of Auckland Center for mathematics and its Applications Mathematical Science Institute

We give several characterizations of Hardy spaces associated with complex, second-order,subelliptic operators on Lie groups with polynomial growth.

关键词： Lie groups Hardy spaces heat kernel

Dry powder platform for pulmonary drug delivery

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Particuology 2008年第4期6卷 225-238页

作者： derek Ivan Daniher Jesse Zhu Graduate Program in Biomedical Engineering Department of Chemical and Biochemical EngineeringThe University of Western OntarioLondonOntarioCanada

The phenomenon of particle interaction involved in pulmonary drug delivery belongs to a wide variety of disciplines of particle technology, in particular, fluidization. This paper reviews the basic concepts of pulmonary drug delivery with references to fluidization research, in particular, studies on Geldart group C powders. Dry powder inhaler device-formulation combination has been shown to be an effective method for delivering drugs to the lung for treatment of asthma, chronic obstructive pulmonary disease and cystic fibrosis. Even with advanced designs, however, delivery efficiency is still poor mainly due to powder dispersion problems which cause poor lung deposition and high dose variability. Drug particles used in current inhalers must be 1–5 μm in diameter for effective deposition in small-diameter airways and alveoli. These powders are very cohesive, have poor flowability, and are difficult to disperse into aerosol due to cohesion arising from van der Waals attraction. These problems are well known in fluidization research, much of which is highly relevant to pulmonary drug delivery.

关键词： Dry powder inhaler Interparticle forces Aerosol Pulmonary drug delivery Carrier particle Fluidization

Factors shaping community structure of endophytic fungi–evidence from the Pinus-Viscum-system

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Fungal Diversity 2013年第3期60卷 55-69页

作者： derek Peršoh Systematische Botanik und mykologie Ludwigs-Maximilians Universität MünchenMenzinger Straße 6780638 MünchenGermany Abteilung mykologie Universität BayreuthUniversitätsstraße 30–NW I95440 BayreuthGermany

Endophytic fungal communities have been shown to be highly diverse in almost every host plant species analyzed so ***,the factors shaping their compositions are largely *** elucidate the impact of various factors,10 independent replicates of DNA extracts from each of 17 surface-sterilized leaf and stem samples were analyzed by pyrosequencing of fungal ITS1 rRNA gene ***,154 fungal OTUs(operational taxonomic units),represented by 953,385 sequences,were found in at least 2 samples from Viscum album *** and/or its host Pinus *** from earlier,cultivation-based assessments,the communities were dominated by OTUs related to the genus mortierella and OTUs not assignable to a certain fungal ***,Ascomycota were still the most diverse group in terms of OTU richness and already hypothesized organ and host preferences of certain endophytic Xylariaceae isolated from the Pinus-Viscum-system could be *** species and organ type were also the major factors shaping the detected fungal *** two plant species clearly differed according to the endophytic fungal communities,but only stems and needles of Pinus were inhabited by significantly different fungal ***,only the 1 and 3 year old stem sections differed according to the endophytic fungal community,while differently aged leaves of both plants were indistinguishable in this *** of the organs had no impact on fungal communities in Pinus,but shorter internodes and smaller leaves showed at least a tendency to differ from the corresponding larger organs in *** communities also differed slightly between the two sampling sites,lying 200 km apart,and between the three sampling *** the samples were drawn within 15 days,this finding indicates that seasonal shifts clearly outweigh aging effects in host plant with perennial *** results therefore provide strong evidence against a linear developm

关键词： Endophytic fungi Pyrosequencing Host preference Stems Leaves Organ age Pinus sylvestris Viscum album Genetic abundance Name assignment

Dynamic energy system modeling using hybrid physics-based and machinelearning encoder–decoder models

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能源与人工智能(英文) 2022年第3期9卷 128-138页

作者： derek machalek Jake Tuttle Klas Andersson Kody m.Powell Department of Chemical Engineering University of UtahSalt Lake CityUTUnited States of America Taber International LLCUnited States of America Department of Space Earthand EnvironmentUniversity of ChalmersGothenburgSweden Department of mechanical Engineering University of UtahSalt Lake CityUTUnited States of America

Three model configurations are presented for multi-step time series predictions of the heat absorbed by thewater and steam in a thermal power plant. The models predict over horizons of 2, 4, and 6 steps into thefuture, where each step is a 5-minute increment. The evaluated models are a pure machine learning model, anovel hybrid machine learning and physics-based model, and the hybrid model with an incomplete dataset. Thehybrid model deconstructs the machine learning into individual boiler heat absorption units: economizer, waterwall, superheater, and reheater. Each configuration uses a gated recurrent unit (GRU) or a GRU-based encoder–decoder as the deep learning architecture. mean squared error is used to evaluate the models compared totarget values. The encoder–decoder architecture is over 11% more accurate than the GRU only models. Thehybrid model with the incomplete dataset highlights the importance of the manipulated variables to the *** hybrid model, compared to the pure machine learning model, is over 10% more accurate on averageover 20 iterations of each model. Automatic differentiation is applied to the hybrid model to perform a localsensitivity analysis to identify the most impactful of the 72 manipulated variables on the heat absorbed in theboiler. The models and sensitivity analyses are used in a discussion about optimizing the thermal power plant.

关键词： Hybrid model Encoder-decoder Time series Automatic differentiation Thermal power plant