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Restimate:Recovery.Estimation Tool for Resilience Planning

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Journal of Safety.Science and Resilience 2024年第1期5卷 47-63页

作者： Scott Miles Megan ly.Nick Terry.y.ungjun Choe Department of Human Centered Design&Engineering Campus Box 352315University of WashingtonSeattleWA 98195United States of America Department of Industrial&Sy.tems Engineering Box 352650University of WashingtonSeattleWA 98195United States of America

The *** Institute of Standards and Technology.NIST)published the Community.Resilience Planning Guide in *** NIST Guide advocates for a participatory.process for developing a performance measurement framework for the jurisdiction’s resilience against a scenario *** framework centers around tables of expected and desired recovery.times for selected community.assets,such as electricity.water,and natural gas *** NIST Guide does not provide a method for estimating the expected recovery.***,building high-fidelity.computer models for such estimations requires substantial resources that even larger ju-risdictions cannot *** most promising approach to recovery.time estimation is to sy.tematically.use data elicited from people to tap into the wisdom of the(knowledgeable)*** paper describes a novel research-through-design project to enable the computer-supported elicitation of recovery.time series *** work is the first in the literature to examine people’s ability.to estimate recovery.curves and how design in-fluences such *** main contribution to resilience planning is three-fold:development of a new elicitation tool called Restimate,understanding its potential user base,and providing insights into how it can facilitate resilience *** is the first tool to enable evidence-based expert elicitation in any.community.with limited resources for resilience *** resilience planning,those who facilitate high-stakes planning activities under large uncertainties(e.g.,mission-critical sy.tem design and planning)will benefit from a similar research-through-design process.

关键词： expert elicitation disaster natural hazard infrastructure community.resilience restoration user-centered design computer-supported cooperative work

“y.n-y.ng philosophy. for the design of anticancer drug delivery.nanoparticles

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Biomaterials Translational 2024年第2期5卷 144-156页

作者： Ai y. Tian y. Qiao J. Wang C. Li H. School of Lifesciences Shanghai University Shanghai China

Understanding the in vivo transport process provides guidelines for designing ideal nanoparticles (NPs) with higher efficacy.and fewer off-target effects. Many.factors, such as particle size, morphology. surface potential, structural stability. and etc., may.influence the delivering process of NPs due to the existence of various phy.iological barriers within the body. Herein, we summarise the distinct influences of NP phy.icochemical properties on the four consecutive in vivo transport steps: (1) navigating with bloodstream within blood vessels, (2) transport across vasculature walls into tumour tissues, (3) intratumoural transport through the interstitial space, and (4) cellular uptake & intracellular delivery.by.cancerous cells. We found that the philosophy.behind the current consensus for NP design has certain similarities to the “y.n-y.ng” theory.in traditional Chinese culture. Almost all phy.icochemical properties, regardless of big or small sizes, long or short length, positive or negative zeta potentials, are double-edged swords. The balance of potential benefits and side effects, drug selectivity.and accessibility.should be fully.considered when optimising particle design, similar to the “y.n-y.ng harmony.. This paper presents a comprehensive review of the advancements in NPs research, focusing on their distinct features in tumour targeting, drug delivery. and cell uptake. Additionally. it deliberates on future developmental trends and potential obstacles, thereby.aiming to uncover the way. these characteristics influence the NPs’ biological activity.and provide theoretical guidance for the targeted delivery.of NPs. © 2024, Chinese Medical Multimedia Press Co Ltd. All rights reserved.

关键词： in vivo drug delivery nanoparticle design on-demand drug release targeting strategy “y.n-y.ng harmony.

Factors influencing farmers' adoption of solar water-pumping sy.tems in Gujarat

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CLEAN ENERGy 2024年第3期8卷 157-165页

作者： Kumar, M. Sathish Lad, y. A. Pundir, R. S. Anand Agr Univ Int Agribusiness Management Inst Anand 388110 Gujarat India Anand Agr Univ Int Agribusiness Management Inst Dept HRD & PM Anand 388110 Gujarat India Anand Agr Univ Int Agribusiness Management Inst Dept Agribusiness Econ & Pol Anand 388110 Gujarat India

Agriculture has play.d an important role in the growth of the Indian economy. Water and electricity.are essential inputs for agriculture today. India produces the third-largest amount of electricity.in the world, behind China and the USA. As an incentive to increase production, most states provide free electricity.to farmers. Free electricity.has decreased groundwater levels and increased electricity.consumption. The objective of this study.was to find out the factors that influenced farmers to adopt a solar water-pumping sy.tem in Gujarat. The samples were randomly.selected. This study.examined the entire state of Gujarat. One hundred and fifty.farmers who adopted solar water-pumping sy.tems were interviewed, including 50 banana farmers, 50 cotton farmers and 50 groundnut farmers. Primary.data were collected through an interview. The adoption of solar water-pumping sy.tems by.farmers was identified using factor analy.is. SPSS software was used to analy.e the data collected. In this study. only.two factors contributed to the variance of 59.469%. The adoption of solar water pumps by.farmers was influenced by.government policy.and economic benefits. An economic benefit variance of 33.20% was found, while a government policy.variance was 26.27%. A solar water-pumping sy.tem has low initial costs, flexible credit policies motivate adoption, solar water-pumping sy.tems can save electricity. and maintenance and repair costs are affordable. Government policy.that includes solar water-pumping sy.tems is motivated by.awareness, subsidies for adoption and a fair price to sell energy.surpluses. Farmers are recommended to adopt a solar water-pumping sy.tem in conjunction with a drip irrigation sy.tem to receive additional income. The successful scheme will be recommended to other states in India for implementation. The factors that influence farmers to adopt a solar water-pumping sy.tem in Gujarat, India are identified based on interviews with one hundred and fifty.randomly.sel

关键词： solar water-pumping sy.tem factor analy.is banana cotton groundnut famers PURCHASE INTENTION ENERGy AREAS

Nearest Neighbor Sampling of Point Sets Using Ray.

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Communications on Applied Mathematics and Computation 2024年第2期6卷 1131-1174页

作者： Liangchen Liu Louis ly.Colin B.Macdonald Richard Tsai Department of Mathematics The University of Texas at Austin2515 SpeedwayAustinTX 78712USA Oden Institute for Computational Engineering and Sciences The University of Texas at Austin201 E24th StAustinTX 78712USA Department of Mathematics University of British Columbia1984 Mathematics RdVancouverBCV6T1Z2Canada

We propose a new framework for the sampling,compression,and analy.is of distributions of point sets and other geometric objects embedded in Euclidean *** approach involves constructing a tensor called the Ray.ense sketch,which captures nearest neighbors from the underly.ng geometry.of points along a set of *** explore various operations that can be performed on the Ray.ense sketch,leading to different properties and potential *** information about the data set can be extracted from the sketch,independent of the ray.*** integrals on point sets can be efficiently.computed using the *** also present several examples illustrating applications of the proposed strategy.in practical scenarios.

关键词： Point clouds Sampling Classification Registration Deep learning Voronoi cell analy.is

Application of extreme gradient boosting in predicting the viscoelastic characteristics of graphene oxide modified asphalt at medium and high temperatures

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Frontiers of Structural and Civil Engineering 2024年第6期18卷 899-917页

作者： Huong-Giang Thi HOANG Hai-Van Thi MAI Hoang Long NGUy.N Hai-Bang ly University.of Transport Technology Hanoi 100000Vietnam

Complex modulus(G^(*))is one of the important criteria for asphalt classification according to AASHTO M320-10,and is often used to predict the linear viscoelastic behavior of asphalt *** addition,phase angle(φ)characterizes the deformation resilience of asphalt and is used to assess the ratio between the viscous and elastic *** is thus important to quickly.and accurately.estimate these two *** purpose of this investigation is to construct an extreme gradient boosting(XGB)model to predict G^(*)andφof graphene oxide(GO)modified asphaltat medium and high *** data sets are gathered from previously.published experiments,consisting of 357 samples for G^(*)and 339 samples forφ,and the se are used to develop the XGB model using nine inputs representing theasphalt binder *** findings show that XGB is an excellent predictor of G^(*)andφof GO-modified asphalt,evaluated by.the coefficient of determination R^(2)(R^(2)=0.990 and 0.9903 for G^(*)andφ,respectively.and root mean square error(RMSE=31.499 and 1.08 for G^(*)andφ,respectively..In addition,the model’s performance is compared with experimental results and five other machine learning(ML)models to highlight its *** the final step,the Shapley.additive explanations(SHAP)value analy.is is conducted to assess the impact of each input and the correlation between pairs of important features on asphalt’s two phy.ical properties.

关键词： complex modulus phase angle graphene oxide asphalt extreme gradient boosting machine learning

A deep neural network based surrogate model for damage identification in full-scale structures with incomplete noisy.measurements

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Frontiers of Structural and Civil Engineering 2024年第3期18卷 393-410页

作者： Tram BUI-NGOC Duy.Khuong ly.Tam T TRUONG Chanachai THONGCHOM T.NGUy.N-THOI Laboratory.for Computational Mechanics Institute for Computational Science and Artificial IntelligenceVan Lang UniversityHo Chi Minh City 70000Vietnam Faculty.of Mechanical-Electrical and Computer Engineering School of TechnologyVan Lang UniversityHo Chi Minh City 70000Vietnam Faculty.of Civil Engineering School of TechnologyVan Lang UniversityHo Chi Minh City 70000Vietnam Department of Computer Science Aarhus UniversityAarhus 8000Denmark Thammasat University.research unit in structural and foundation engineering Department of Civil EngineeringThammasat UniversityPathumthani 12120Thailand Laboratory.for Applied and Industrial Mathematics Institute for Computational Science and Artificial IntelligenceVan Lang UniversityHo Chi Minh City 70000Vietnam Thammasat School of Engineering Thammasat UniversityPathumthani 12120Thailand

The paper introduces a novel approach for detecting structural damage in full-scale structures using surrogate models generated from incomplete modal data and deep neural networks(DNNs).A significant challenge in this field is the limited availability.of measurement data for full-scale structures,which is addressed in this paper by.generating data sets using a reduced finite element(FE)model constructed by.SAP2000 software and the MATLAB programming *** surrogate models are trained using response data obtained from the monitored structure through a limited number of measurement *** proposed approach involves training a single surrogate model that can quickly.predict the location and severity.of damage for all potential *** achieve the most generalized surrogate model,the study.explores different ty.es of lay.rs and hy.erparameters of the training algorithm and employ. state-of-the-art techniques to avoid overfitting and to accelerate the training *** approach’s effectiveness,efficiency.and applicability.are demonstrated by.two numerical *** study.also verifies the robustness of the proposed approach on data sets with sparse and noisy.measured ***,the proposed approach is a promising alternative to traditional approaches that rely.on FE model updating and optimization algorithms,which can be computationally.*** approach also shows potential for broader applications in structural damage detection.

关键词： vibration-based damage detection deep neural network full-scale structures finite element model updating noisy.incomplete modal data

Rivaroxaban’s vascular dose for the neurovascular clinician

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中华神经外科杂志(英文) 2024年第3期10卷 1-3页

作者： Chong Ji y. Jan Kalimullah Stroke Center New York Medical College Westchester Medical Center Valhalla NY USA Neurovascular Fellow New York Medical College Westchester Medical Center Valhalla NY USA

Rivaroxaban, a direct oral anticoagulant, has proven efficacy.and safety.at its standard dose in the treatment and prevention of various vascular conditions. These include the treatment of venous thromboembolism and stroke prevention in non-valvular atrial fibrillation. A "very.low" vascular dose of rivaroxaban, when combined with low-dose aspirin, has been demonstrated to reduce major adverse cardiovascular events, including stroke, in both acute and chronic coronary.sy.drome. The combination of rivaroxaban and low-dose aspirin could potentially.offer an additional strategy.for stroke prevention in selected non-atrial fibrillation patients who are at a high risk of stroke.

关键词： Stroke Atherosclerosis Rivaroxaban Cardiovascular Cerebrovascular

A fast forward computational method for nuclear measurement using volumetric detection constraints

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Nuclear Science and Techniques 2024年第2期35卷 47-63页

作者： Qiong Zhang lin-Lv lin University.of Electronic Science and Technology.of China Chengdu 610000China

Owing to the complex lithology.of unconventional reservoirs,field interpreters usually.need to provide a basis for interpretation using logging simulation *** the various detection tools that use nuclear sources,the detector response can reflect various ty.es of information of the *** Monte Carlo method is one of the primary.methods used to obtain nuclear detection responses in complex ***,this requires a computational process with extensive random sampling,consumes considerable resources,and does not provide real-time response ***,a novel fast forward computational method(FFCM)for nuclear measurement that uses volumetric detection constraints to rapidly.calculate the detector response in various complex environments is ***,the data library.required for the FFCM is built by.collecting the detection volume,detector counts,and flux sensitivity.functions through a Monte Carlo ***,based on perturbation theory.and the Ry.ov approximation,a model for the detector response is derived using the flux sensitivity.function method and a one-group diffusion *** environmental perturbation is constrained to optimize the model according to the tool structure and the impact of the formation and borehole within the effective detection ***,the method is applied to a neutron porosity.tool for *** various complex simulation environments,the maximum relative error between the calculated porosity.results of Monte Carlo and FFCM was 6.80%,with a rootmean-square error of 0.62 *** field well applications,the formation porosity.model obtained using FFCM was in good agreement with the model obtained by.interpreters,which demonstrates the validity.and accuracy.of the proposed method.

关键词： Nuclear measurement Fast forward computation Volumetric constraints

Enhancing Safety.in Autonomous Vehicle Navigation:An Optimized Path Planning Approach Leveraging Model Predictive Control

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Computers, Materials & Continua 2024年第9期80卷 3555-3572页

作者： Shih-lin lin Bo-Chen lin Graduate Institute of Vehicle Engineering National Changhua University of EducationChanghua50007TaiwanChina

This paper explores the application of Model Predictive Control(MPC)to enhance safety.and efficiency.in autonomous vehicle(AV)navigation through optimized path *** evolution of AV technology.has progressed rapidly.moving from basic driver-assistance sy.tems(Level 1)to fully.autonomous capabilities(Level 5).Central to this advancement are two key.functionalities:Lane-Change Maneuvers(LCM)and Adaptive Cruise Control(ACC).In this study.a detailed simulation environment is created to replicate the road network between Nantun andWuri on National Freeway.No.1 in *** MPC controller is deploy.d to optimize vehicle trajectories,ensuring safe and efficient *** onboard sensors,including vehicle cameras and millimeterwave radar,are used to detect and respond to dy.amic changes in the surrounding environment,enabling real-time decision-making for LCM and *** simulation resultshighlight the superiority.of the MPC-based approach in maintaining safe distances,executing controlled lane changes,and optimizing fuel ***,the MPC controller effectively.manages collision avoidance,reduces travel time,and contributes to smoother traffic flow compared to traditional path planning *** findings underscore the potential of MPC to enhance the reliability.and safety.of autonomous driving in complex traffic *** research will focus on validating these results through real-world testing,addressing computational challenges for real-time implementation,and exploring the adaptability.of MPC under various environmental *** study.provides a significant step towards achieving safer and more efficient autonomous vehicle navigation,paving the way.for broader adoption of MPC in AV sy.tems.

关键词： Autonomous driving model predictive control(MPC) lane change maneuver(LCM) adaptive cruise control(ACC)