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Investigating the effect of online and offline reputation on the provision of online counseling services

《工程管理前沿（英文）》页码 563-576 doi: 10.1007/s42524-022-0198-0

摘要： The sustainable development of Internet hospitals and e-health platforms relies on the participation of patients and physicians, especially on the provision of health counseling services by physicians. The objective of our study is to explore the factors motivating Chinese physicians to provide online health counseling services from the perspectives of their online and offline reputation. We collect the data of 141029 physicians from 6173 offline hospitals located in 350 cities in China. Based on the reputation theory and previous studies, we incorporate patients’ feedback as physicians’ online reputation and incorporate physicians’ offline professional status as physicians’ offline reputation. Results show that physicians’ online reputation significantly and positively influence their online counseling behaviors, whereas physicians’ offline reputation significantly and negatively influence their online counseling behaviors. We conclude that physician’s online and offline reputations show a competitive and substitute relationship rather than a complementary relationship in influencing physicians to provide online counseling services in Internet hospitals. One possible explanation for the substitute relationship could be the constraints of limited time and effort of physicians.

关键词： Internet hospitals physicians’ online counseling online reputation offline reputation

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The CatMath: an online predictive platform for thermal + electrocatalysis

《化学科学与工程前沿（英文）》 2023年第17卷第12期页码 2156-2160 doi: 10.1007/s11705-023-2371-3

摘要： The catalytic volcano activity models are the quantified and visualized tools of the Sabatier principle for heterogeneous catalysis, which can depict the intrinsic activity optima and trends of a catalytic reaction as a function of the reaction descriptors, i.e., the bonding strengths of key reaction species. These models can be derived by microkinetic modeling and/or free energy changes in combination with the scaling relations among the reaction intermediates. Herein, we introduce the CatMath—an online platform for generating a variety of common and industrially important thermal + electrocatalysis. With the CatMath, users can request the volcano models for available reactions and analyze their materials of interests as potential catalysts. Besides, the CatMath provides the function of the online generation of Surface Pourbaix Diagram for surface state analysis under electrocatalytic conditions, which is an essential step before analyzing the activity of an electrocatalytic surface. All the model generation and analysis processes are realized by cloud computing via a user-friendly interface.

关键词： CatMath catalysis volcano activity plots Surface Pourbaix Diagrams online platform

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Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

《工程管理前沿（英文）》页码 499-516 doi: 10.1007/s42524-022-0221-5

摘要： The large-scale online supermarket is a newly emerging online retailing mode which brings great convenience to people. Online supermarkets are characterized by having large amounts of daily orders with potentially multiple items, diverse delivery times, and a high order-split rate. Multiple shipments for one order caused by order splitting result in high cost and disturbance and a large number of discarded consumable packages at online retailers and customers, causing severe damage to the environment. Accordingly, research on split-order consolidation fulfilment is critical for the advancement of the practice and theory in the context of highly complex online retailing. This paper first analyzes the characteristics and the challenges associated with the split-order consolidation problem that online supermarket is confronting and summarizes the new operational process of split-order consolidation fulfilment. Then, a time–space network optimization model is built, and its corresponding solution algorithm is presented to solve the questions of where and when to consolidate the split orders. Finally, the computation results of the numerical experiments are provided to verify the effectiveness of the algorithm, and a sensitivity analysis of the relevant parameters is performed. This work highlights the effect of order consolidation processes and fulfilment methods on the order fulfilment decision-making for online supermarkets. The purpose of this article is to help pave the way for more effective online supermarket management and order implementation.

关键词： online supermarkets split-order consolidation time–space network genetic algorithm

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Screening responsive or resistant biomarkers of immune checkpoint inhibitors based on online databases

Zhen Xiang, Yingyan Yu

《医学前沿（英文）》 2019年第13卷第1期页码 24-31 doi: 10.1007/s11684-019-0679-7

摘要： Immune checkpoint inhibitors are a promising strategy in the treatment of cancer, especially advanced types. However, not all patients are responsive to immune checkpoint inhibitors. The response rate depends on the immune microenvironment, tumor mutational burden (TMB), expression level of immune checkpoint proteins, and molecular subtypes of cancers. Along with the Cancer Genome Project, various open access databases, including The Cancer Genome Atlas and Gene Expression Omnibus, provide large volumes of data, which allow researchers to explore responsive or resistant biomarkers of immune checkpoint inhibitors. In this review, we introduced some methodologies on database selection, biomarker screening, current progress of immune checkpoint blockade in solid tumor treatment, possible mechanisms of drug resistance, strategies of overcoming resistance, and indications for immune checkpoint inhibitor therapy.

关键词： immune checkpoint blockade sensitivity resistance data mining

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Online gasoline blending with EPA Complex Model for predicting emissions

Stefan JANAQI, Mériam CHÈBRE, Guillaume PITOLLAT

《工程管理前沿（英文）》 2018年第5卷第2期页码 214-226 doi: 10.15302/J-FEM-2017022

摘要： The empirical Complex Model developed by the US Environmental Protection Agency (EPA) is used by refiners to predict the toxic emissions of reformulated gasoline with respect to gasoline properties. The difficulty in implementing this model in the blending process stems from the implicit definition of Complex Model through a series of disjunctions assembled by the EPA in the form of spreadsheets. A major breakthrough in the refinery-based Complex Model implementation occurred in 2008 and 2010 through the use of generalized disjunctive and mixed-integer nonlinear programming (MINLP). Nevertheless, the execution time of these MINLP models remains prohibitively long to control emissions with our online gasoline blender. The first objective of this study is to present a new model that decreases the execution time of our online controller. The second objective is to consider toxic thresholds as hard constraints to be verified and search for blends that verify them. Our approach introduces a new way to write the Complex Model without any binary or integer variables. Sigmoid functions are used herein to approximate step functions until the measurement precision for each blend property is reached. By knowing this level of precision, we are able to propose an extremely good and differentiable approximation of the Complex Model. Next, a differentiable objective function is introduced to penalize emission values higher than the threshold emissions. Our optimization module has been implemented and tested with real data. The execution time never exceeded 1 s, which allows the online regulation of emissions the same way as other traditional properties of blended gasoline.

关键词： emissions reformulated gasoline online control global optimization

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Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

《环境科学与工程前沿（英文）》 2021年第15卷第6期 doi: 10.1007/s11783-021-1430-6

摘要：

• UV-vis absorption analyzer was applied in drainage type online recognition.

关键词： Drainage online recognition UV-vis spectra Derivative spectrum Convolutional neural network

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Quality and readability of online information resources on insomnia

null

《医学前沿（英文）》 2017年第11卷第3期页码 423-431 doi: 10.1007/s11684-017-0524-9

摘要：

The internet is a major source for health information. An increasing number of people, including patients with insomnia, search for remedies online; however, little is known about the quality of such information. This study aimed to evaluate the quality and readability of insomnia-related online information. Google was used as the search engine, and the top websites on insomnia that met the inclusion criteria were evaluated for quality and readability. The analyzed websites belonged to nonprofit, commercial, or academic organizations and institutions such as hospitals and universities. Insomnia-related websites typically included definitions (85%), causes and risk factors (100%), symptoms (95%), and treatment options (90%). Cognitive behavioral therapy for insomnia (CBT-I) was the most commonly recommended approach for insomnia treatment, and sleep drugs are frequently mentioned. The overall quality of the websites on insomnia is moderate, but all the content exceeded the recommended reading ease levels. Concerns that must be addressed to increase the quality and trustworthiness of online health information include sharing metadata, such as authorship, time of creation and last update, and conflicts of interest; providing evidence for reliability; and increasing the readability for a layman audience.

关键词： insomnia internet readability information quality health literacy cognitive behavioral therapy treatment

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Research and development of a high-quality thermal-stress online monitoring model for the 600 MW turbine

ZHANG Hengliang, XIE Danmei, XIONG Yangheng, SUN Kunfeng

《能源前沿（英文）》 2007年第1卷第3期页码 322-326 doi: 10.1007/s11708-007-0047-1

摘要： To monitor and control its thermal state, a rotor s temperature and thermal stress fields must be calculated in real time. After some reasonable assumptions and simplification, iterative models of the rotor s temperature and thermal stresses were obtained with an integral transform based on a two-dimensional axis-symmetry thermal conduction differential equation. The models can deal with some nonlinear factors such as material and boundary condition. An example is given to compare results computed by the finite element method (FEM) and one-dimensional models. The result shows that the analytical model gained has high quality and the computing course is very short. The iterative formulas could be used not only to analyze the rotor’s thermal states of turbine, but to monitor and control them online. The method adopted can be used to analyze the thermal state of other axis-symmetry objects having similar boundary conditions.

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高速主轴动平衡及其在线控制技术

章云,梅雪松

《中国工程科学》 2013年第15卷第1期页码 87-92

摘要：

针对机床主轴在线自动平衡控制问题，阐述了高速主轴不平衡识别方法和在线自动平衡技术国内外现状，分析了喷液式在线自动平衡装置原理，设计了喷液式平衡系统，并通过高速主轴实验对该系统的有效性进行了验证。研究结果表明，主轴经过平衡后，不平衡量振动值由1.60 mm/s降至0.34 mm/s，主轴失衡振动得到了有效抑制。

关键词：高速主轴在线动平衡振动控制

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一种对工业过程复杂液体进行非接触原态在线实时监测方法 Article

段宁, 降林华, 徐夫元, 张歌

《工程（英文）》 2018年第4卷第3期页码 392-397 doi: 10.1016/j.eng.2018.05.005

摘要：

无法对工业过程大量存在的复杂液体在线实时监测导致资源消耗和污染产生过多的现象十分普遍。本文介绍一种对高强包裹性和高盐多组分液体中目标物质进行非接触原态在线实时监测的方法，该方法的原理是建立液体中目标物质浓度（C）、不同浓度目标物质色空间坐标(L*, a*, b*) 和最大吸收波长（λmax）三者之间的关系，利用最佳波长λT下高精度扫描式检测系统表达的液体光强信息直接测定流动液体中目标物质的瞬时浓度。与传统分析方法和现有在线分析方法不同，这种方法无需对样品进行任何预处理（过滤、稀释、定容、氧化/还原、添加显色剂等），可实现测试样品的原态化在线实时监测。将一家大型电解锰企业陈化液（Fe3+浓度0.5~18 mg•L-1，锰离子35~39 g•L-1，硫酸铵90~110 g•L-1）胶体化过程中三价铁离子浓度的实测结果与离线实验室测试结果相比，二者相对误差小于2%。

关键词：复杂液体原态监测在线实时非接触识别

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A prototype online database-enabled design framework for wind analysis/design of low-rise buildings

Dae Kun KWON,Ahsan KAREEM,Deepak KUMAR,Yukio TAMURA

《结构与土木工程前沿（英文）》 2016年第10卷第1期页码 121-130 doi: 10.1007/s11709-015-0329-3

摘要： This study presents a development of an advanced cyberbased database-enabled design module for low-rise buildings (DEDM-LR) which provides estimation of the wind-induced responses for main wind force resisting frames by making direct use of pressure time histories measured at a large number of pressure taps over a suite of building models. These responses may be considered in lieu of code-specified load effects in which the overall accuracy may be influenced by the inherent simplifications in codes. In addition, this new automated approach is particularly attractive and advantageous as it allows a web-based online analysis/design via intuitive user-friendly interfaces for both the input and output in terms of familiar web-style forms that are nowadays very common in most of web-based services. Presently, the DEDM-LR hosts an aerodynamic database developed by the Tokyo Polytechnic University (TPU), Japan for a variety of building configurations like flat, gable, and hip roofs under suburban terrain flow condition with immediate application to other databases. The paper shows the efficacy and validity of the DEDM-LR by walking through its details and examples on selected gable-roofed buildings. The architecture of DEDM-LR platform offers the ability to pool resources by hosting other databases that may become available in the near future.

关键词： wind loads low-rise building pressure measurement aerodynamics building design structural response building codes information technology (IT)

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提高在线模型识别平台效率的多目标最优实验设计框架 Article

Arun Pankajakshan, Conor Waldron, Marco Quaglio, Asterios Gavriilidis, Federico Galvanin

《工程（英文）》 2019年第5卷第6期页码 1049-1059 doi: 10.1016/j.eng.2019.10.003

摘要：

自动化和数字化方面的最新进展使得物理设备与其对应的虚拟设备紧密集成，从而促进了实时建模与多个过程的自动优化。此类系统提供了丰富且不断更新的数据环境，使得系统随着时间的推移做出决策，并将过程推向最优目标成为可能。在许多制造过程中，为了实现整体最优过程，必须同时评估与过程性能和成本有关的多个目标函数。本文提出了一个多目标最优实验设计框架，用于提高在线模型识别平台的效率。所提出的框架能够灵活权衡实验设计解决方案，这些解决方案可以在线计算（即在执行实验期间）。将该框架应用于流动反应器中动力学模型在线识别的案例研究，并确定了微反应器中苯甲酸（benzoic acid, BA）和乙醇酯化的动力学模型。

关键词：多目标优化最优实验设计在线

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A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

《能源前沿（英文）》 2015年第9卷第1期页码 22-30 doi: 10.1007/s11708-014-0339-1

摘要： Online estimation of rotor resistance is essential for high performance vector controlled drives. In this paper, a novel modified neural algorithm has been identified for the online estimation of rotor resistance. Neural based estimators are now receiving active consideration as they have a number of advantages over conventional techniques. The training algorithm of the neural network determines its learning speed, stability, weight convergence, accuracy of estimation, speed of tracking and ease of implementation. In this paper, the neural estimator has been studied with conventional and proposed learning algorithms. The sensitivity of the rotor resistance change has been tested for a wide range of variation from -50% to+50% on the stability of the drive system with and without estimator. It is quiet appealing to settle with optimal estimation time and error for the viable realization. The study is conducted extensively for estimation and tracking. The proposed learning algorithm is found to exhibit good estimation and tracking capabilities. Besides, it reduces computational complexity and, hence, more feasible for practical digital implementation.

关键词： neural networks back propagation (BP) rotor resistance estimators vector control induction motor

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基于DBN模型的激光焊接状态在线监控研究 Article

张艳喜, 游德勇, 高向东, Seiji Katayama

《工程（英文）》 2019年第5卷第4期页码 671-678 doi: 10.1016/j.eng.2019.01.016

摘要：

本文开发了集辅助激光成像系统、紫外/可见波段视觉成像系统（波长小于780 nm）、光谱测量仪、光电传感器的多传感器系统，用以观察和分析激光焊接过程中的焊接状态信息。本文采用小波包分解方法对通过光电传感器获得的可见光波段传感信号和激光反射传感信号进行分解并提取相关特征。光谱仪采集到的信号的主要波长为400~900 nm，将其分为25个子带并采用统计方法来提取光谱信号特征。利用紫外/可见波段视觉成像系统采集的图像获取金属蒸气和飞溅的特征，而辅助照明视觉传感器系统主要是用来采集匙孔特征。本文基于上述焊接过程的实时量化特征建立了焊接状态监测的深度信念网络（DBN），并采用遗传算法对所提出的DBN模型参数进行优化。与传统的反向传播神经网络（BPNN）模型相比，本文建立的DBN模型在焊接状态监测方面具有更高的精度和鲁棒性。最后，本文通过三个附加焊接试验验证了该方法在激光焊接状态监控中的有效性和泛化能力。

关键词：在线监控多传感小波包分解深信度网络

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基于混合驱动高斯过程学习的强机动多目标跟踪方法 Research Article

国强1,滕龙1,2,尹天祥3,郭云飞3,吴新良2,宋文明2

《信息与电子工程前沿（英文）》 2023年第24卷第11期页码 1647-1656 doi: 10.1631/FITEE.2300348

摘要：现有机动目标跟踪方法在杂波环境中强机动目标的跟踪性能并不令人满意。本文提出一种混合驱动方法，利用数据驱动和基于模型算法的优点跟踪多个高机动目标。将时变恒速（CV）模型集成到在线学习的高斯过程（GP）中，提高高斯过程的预测性能。进一步与广义概率数据关联（GPDA）算法相结合，实现多目标跟踪。通过仿真实验可知，与广泛使用的机动目标跟踪算法如交互式多模型（IMM）和数据驱动的高斯过程运动跟踪器（GPMT）相比，提出的混合驱动方法具有显著的性能优势。

关键词：目标跟踪；高斯过程；数据驱动；在线学习；模型驱动；概率数据关联

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标题作者时间类型操作

Investigating the effect of online and offline reputation on the provision of online counseling services

期刊论文

The CatMath: an online predictive platform for thermal + electrocatalysis

期刊论文

Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

期刊论文

Screening responsive or resistant biomarkers of immune checkpoint inhibitors based on online databases

Zhen Xiang, Yingyan Yu

期刊论文