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There are a large number of historical buildings in the world, but many of them are seriously damaged. A fundamental task to revitalize them is to record their details and redraw them, but it is a highly inefficient task. This paper aimed to create three-dimensional (3D) models automatically for those damaged historical buildings while respecting the 1964 Venice Charter, the ICOMOS recommendations, and local ordinances. After reviewing the advantages and disadvantages of various measurement tools, we implemented a machine learning algorithm, the residual 3D convolutional neural network (CNN) method, to combine heterogeneous data from multiple sources including a 3D laser scanner, an unmanned aerial vehicle, a total station, and a camera, in a historical building information model (HBIM) to increase its accuracy. Those data, preprocessed by four steps including data registration, reducing noises, filtering data, and data integration, were trained and fused in a 3D CNN model, which consisted of one input layer, five 3D convolutional and pooling layers, and two connected layers. A Shanghai historical building conservation project was taken as a pilot case to verify its productivity and accuracy in developing the HBIM, on which the architectural features were thoroughly recorded, and the damaged details were recovered. [ABSTRACT FROM AUTHOR]

After reviewing the problems of supply disruption caused by worldwide public health events, a two-echelon dual-marketing-channel supply model is presented in this paper, whose participants are one pharmaceutical company with disruption risks, one pharmaceutical company without disruption risks (NDPC), and one pharmaceutical retailer (PR). Their marketing consists of online and offline marketing channels. The PR signs an option contract with the NDPC to secure an adaptive and continuous pharmaceutical supply. The model is divided into three sub-models: single coalition structure, double coalition structure, and multi-party coalition structure, whose coalitional strategies and profits are investigated respectively. Their optimal decisions under disruption risks also are compared, and their pharmaceutical quality and process resilience are discussed. The merit of the model is to combine option contracts, government double subsidies, and business interruption insurance in the supply chain. [ABSTRACT FROM AUTHOR]

Extreme rainstorm is a main factor to cause urban floods when urban drainage system cannot discharge stormwater successfully. This paper investigates distribution feature of rainstorms and draining process of urban drainage systems and uses a two-stage single-counter queue method M/M/1→M/D/1 to model urban drainage system. The model emphasizes randomness of extreme rainstorms, fuzziness of draining process, and construction and operation cost of drainage system. Its two objectives are total cost of construction and operation and overall sojourn time of stormwater. An improved genetic algorithm is redesigned to solve this complex nondeterministic problem, which incorporates with stochastic and fuzzy characteristics in whole drainage process. A numerical example in Shanghai illustrates how to implement the model, and comparisons with alternative algorithms show its performance in computational flexibility and efficiency. Discussions on sensitivity of four main parameters, that is, quantity of pump stations, drainage pipe diameter, rainstorm precipitation intensity, and confidence levels, are also presented to provide guidance for designing urban drainage system. [ABSTRACT FROM AUTHOR]

For years, China has adopted environmental regulations in developing ports to improve their sustainability. Based on the data of Chinese ports from 2009 to 2018, this paper presents a data envelopment analysis model with subdividing input-output indicator weights and develops it further in two stages with the weight preference and the slacks-based measure, respectively. After assessing the sustainable development capability (SDC) of Chinese ports and their spatial correlation, it revealed that Chinese ports are clustered in several regions and their SDC has spilled over into their neighbors. Further study revealed the SDC is affected by environmental regulations in different ways: as a key measure among regulations to improve the SDC, voluntary regulation has a spatial spillover effect, but neither the mandatory regulation nor public media regulation can significantly improve the SDC. This suggests that the port authority should enact environmental regulations based on the port spatial difference and the port should expand its operation scale and market size and recruit more top talent, which is good for improving its productivity and reducing its carbon emissions. [ABSTRACT FROM AUTHOR]

This paper presents a multiple-rescue model for an emergency supply chain system under uncertainties in large-scale affected area of disasters. The proposed methodology takes into consideration that the rescue demands caused by a large-scale disaster are scattered in several locations; the servers are arranged in multiple echelons (resource depots, distribution centers, and rescue center sites) located in different places but are coordinated within one emergency supply chain system; depending on the types of rescue demands, one or more distinct servers dispatch emergency resources in different vehicle routes, and emergency rescue services queue in multiple rescue-demand locations. This emergency system is modeled as a minimal queuing response time model of location and allocation. A solution to this complex mathematical problem is developed based on genetic algorithm. Finally, a case study of an emergency supply chain system operating in Shanghai is discussed. The results demonstrate the robustness and applicability of the proposed model. [ABSTRACT FROM AUTHOR]

The time, quality, and cost are three important but contradictive objectives in a building construction project. It is a tough challenge for project managers to optimize them since they are different parameters. This paper presents a time-cost-quality optimization model that enables managers to optimize multiobjectives. The model is from the project breakdown structure method where task resources in a construction project are divided into a series of activities and further into construction labors, materials, equipment, and administration. The resources utilized in a construction activity would eventually determine its construction time, cost, and quality, and a complex time-cost-quality trade-off model is finally generated based on correlations between construction activities. A genetic algorithm tool is applied in the model to solve the comprehensive nonlinear time-cost-quality problems. Building of a three-storey house is an example to illustrate the implementation of the model, demonstrate its advantages in optimizing trade-off of construction time, cost, and quality, and help make a winning decision in construction practices. The computational time-cost-quality curves in visual graphics from the case study prove traditional cost-time assumptions reasonable and also prove this time-cost-quality trade-off model sophisticated. [ABSTRACT FROM AUTHOR]

The aim of this study was to enhance specific mucosal, systemic, and cell-mediated immunity and to induce earlier onset of protection against direct-contact challenge in cattle by intranasal delivery of a nanoparticle-based nasal vaccine against type A foot-and-mouth disease (FMD). In this study, two kinds of nanoparticle-based nasal vaccines against type A FMD were designed: (1) chitosan-coated poly(lactic-co-glycolic acid) (PLGA) loaded with plasmid DNA (Chi-PLGA-DNA) and (2) chitosan-trehalose and inactivated foot-and-mouth disease virus (FMDV) (Chi-Tre-Inactivated). Cattle were immunized by an intranasal route with nanoparticles and then challenged for 48 hours by direct contact with two infected donor cattle per pen. Donors were inoculated intradermally in the tongue 48 hours before challenge, with 0.2 mL cattle-passaged FMDV. Serological and mucosal antibody responses were evaluated, and virus excretion and the number of contact infections were quantified. FMDV-specific secretory immunoglobulin (Ig)A (sIgA) antibodies in nasal washes were initially detected at 4 days postvaccination (dpv) with two kinds of nanoparticles. The highest levels of sIgA expression were observed in nasal washes, at 10 dpv, from animals with Chi-PLGA-DNA nanoparticles, followed by animals immunized once by intranasal route with a double dose of Chi-Tre-Inactivated nanoparticles and animals immunized by intranasal route three times with Chi-Tre-Inactivated nanoparticles (P<0.05). FMDV-specific IgA antibodies in serum showed a similar pattern. All animals immunized by intranasal route developed low levels of detectable IgG in serum at 10 dpv. Following stimulation with FMDV, the highest levels of proliferation were observed in splenocytes harvested from Chi-PLGA-DNA-immunized animals, followed by proliferation of cells harvested from Chi-Tre-Inactivated nanoparticle-immunized animals (P<0.05). Higher protection rates were associated with the highest sIgA antibody responses induced in the Chi-PLGA-DNA nanoparticle-immunized group. Only one animal was clinically affected with mild signs after 7 days of contact challenge, after a delay of 2-3 days compared with the clinically affected negative-control group. Of the five animals directly challenged that were vaccinated by intranasal route with a double dose of Chi-Tre-Inactivated, four were clinically infected; however, the degree of severity of disease in this group was lower than in control cattle. The number of viral RNA copies in nasal swabs from the vaccinated, severely infected group was significantly higher than in swabs from the vaccinated, clinically protected group. These data suggested that intranasal delivery of Chi-PLGA-DNA nanoparticles resulted in higher levels of mucosal, systemic, and cell-mediated immunity than did of Chi-Tre-Inactivated nanoparticles. In conclusion, although intranasal delivery with FMDV antigen mediated by nanoparticles did not provide complete clinical protection, it reduced disease severity and virus excretion and delayed clinical symptoms. Chi-PLGA-DNA nanoparticle vaccines have potential as a nasal delivery system for vaccines.

This paper presents a multiple-rescue model for an emergency supply chain system under uncertainties in large-scale affected area of disasters. The proposed methodology takes into consideration that the rescue demands caused by a large-scale disaster are scattered in several locations; the servers are arranged in multiple echelons (resource depots, distribution centers, and rescue center sites) located in different places but are coordinated within one emergency supply chain system; depending on the types of rescue demands, one or more distinct servers dispatch emergency resources in different vehicle routes, and emergency rescue services queue in multiple rescue-demand locations. This emergency system is modeled as a minimal queuing response time model of location and allocation. A solution to this complex mathematical problem is developed based on genetic algorithm. Finally, a case study of an emergency supply chain system operating in Shanghai is discussed. The results demonstrate the robustness and applicability of the proposed model.

The time, quality, and cost are three important but contradictive objectives in a building construction project. It is a tough challenge for project managers to optimize them since they are different parameters. This paper presents a time-cost-quality optimization model that enables managers to optimize multiobjectives. The model is from the project breakdown structure method where task resources in a construction project are divided into a series of activities and further into construction labors, materials, equipment, and administration. The resources utilized in a construction activity would eventually determine its construction time, cost, and quality, and a complex time-cost-quality trade-off model is finally generated based on correlations between construction activities. A genetic algorithm tool is applied in the model to solve the comprehensive nonlinear time-cost-quality problems. Building of a three-storey house is an example to illustrate the implementation of the model, demonstrate its advantages in optimizing trade-off of construction time, cost, and quality, and help make a winning decision in construction practices. The computational time-cost-quality curves in visual graphics from the case study prove traditional cost-time assumptions reasonable and also prove this time-cost-quality trade-off model sophisticated.