Digital transformation, technological innovation, and operational resilience of port firms in case of supply chain disruption.

To investigate how the digital transformation of port firms improves their operational resilience, we design methods to measure their digital transformation grade (DTG), technological innovation capacity (TIC), and port operational resilience (POR) respectively. Based on 3586 samples retrieved from 334 Chinese port firms from 2011 to 2021, their relationships are statistically described and preliminarily regressed by an ordinary least-squares model and a fixed-effect model. After testing the effects of supply chain disruption, endogeneity, and robustness, we reveal that digital transformation improves firms' competitiveness and operational resilience by coordinating human resources, information, and technology. We confirm that TIC plays an intermediate role and an adverse event has an enhancement effect. An inverted-U curve between DTG and POR proves that port firms often suffer growing pains at the initial stage and their POR will be promoted by continuous digital inputs, but the leading port firms would gain fewer marginal benefits.

Comparison of immune responses in guinea pigs by intranasal delivery with different nanoparticles-loaded FMDV DNA vaccine.

To compare different nanoparticle-based nasal vaccines against foot-and-mouth disease (FMD), chitosan (CS)-coated poly (lactic-co-glycolic acid) (PLGA) nanoparticles (NPs) (CS/PLGA-NPs) and amino-functionalized mesoporous silica nanoparticles (Am/MSNs) loaded with FMDV recombinant plasmid (pP12A3C/IFN-CS/PLGA-NPs and pP12A3C/IFN-Am/MS-NPs) were used to induce mucosal and systemic immune responses in guinea pigs via intranasal delivery. Simultaneously, CpG oligodeoxy nucleotides (ODNs) as a vaccine adjuvant were encapsulated in chitosan-coated poly (lactic-co-glycolic acid) nanoparticles (CpG-CS/PLGA-NPs). The pP12A3C/IFN-CS/PLGA-NPs and CpG-CS/PLGA-NPs generated displayed good morphology, high stability, mean diameters of 500 and 400 nm and encapsulation efficiencies of 83.8% and 88.4%, respectively. Data from the in vitro release assay showed that plasmid and CpG were sustainably released from nanoparticles (up to 66.73% and 64%, respectively, of the total amount loaded). Guinea pigs immunized with pP12A3C/IFN-CS/PLGA-NPs + CpG-CS/PLGA-NPs showed markedly higher mucosal, cellular and humoral immune responses than those administered pP12A3C/IFN-CS/PLGA-NPs or naked plasmid vaccine alone. FMDV-specific secretory immunoglobulin A (sIgA) antibodies in nasal washes were initially detected at 3 days post-vaccination with CS/PLGA-NPs loaded with plasmid. Guinea pigs immunized with pP12A3C/IFN-CS/PLGA-NPs also displayed higher cellular and humoral immune responses than pP12A3C-CS/PLGA-NPs and naked plasmid vaccine alone. FMDV-specific immunoglobulin G (IgG) antibodies in serum were initially detected at 5 days post-vaccination (intramuscularly) with the naked plasmid. Finally, challenge experiments 42 days post-vaccine revealed 100% protection in guinea pigs immunized with pP12A3C/IFN-CS/PLGA-NPs + CpG-CS/PLGA-NPs and pP12A3C/IFN-CS/PLGA-NPs. However, plasmid DNA was burst released from pP12A3C/IFN-Am/MS-NPs. Our attempts to use pP12A3C/IFN-Am/MS-NPs to immunize guinea pigs failed to induce immune responses. In conclusion, CpG and IFN-α adjuvant based FMD vaccines elicit protection in guinea pigs. Moreover, CS-coated PLGA NPs present an efficient and safe mucosal immune delivery system for FMDV DNA vaccine. Data from the current study provide a foundation for understanding and further evaluating protective immune responses in pigs.

Induction of mucosal immune responses and protection of cattle against direct-contact challenge by intranasal delivery with foot-and-mouth disease virus antigen mediated by nanoparticles.

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.

Modeling relief demands in an emergency supply chain system under large-scale disasters based on a queuing network.

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.

An innovative time-cost-quality tradeoff modeling of building construction project based on resource allocation.

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.