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The purpose of this paper is to present a priority evaluation method for data module (DM) modification tasks based on the thoughts of real-time systems. Tasks in practical cases can be sorted by this method after analyzing their time records. Civil aircraft technical publications (CATPs) are the key technical guarantee for aircraft companies to efficiently operate and service aircraft. Orienting the maintenance business of CATPs, this method regards DM as the research object to help DM editors efficiently finish their time-consuming work.

This method provides a priority order of modification tasks for DM editors by calculating two indicators: priority value (PV) and priority level (PL). Table of task priority must be first designed for certain evaluation work followed by generating PLs and PVs of modification tasks. Then editors can fully understand the urgency of these tasks using the rank orders of these two indicators.

This method can be applied into a software system used by CATPs department of aircraft manufacturers. According to the engineers’ opinions from a manufacturer in China, it is convenient for the practical application.

Availability and rationality are verified by the practical case and a software system. In addition, the originality characterized by a thinking for engineers to quantify the evaluation work of DM modification task priority, and they could also customize this method by taking modification difficulty and other factors into account.

The purpose of this paper is to study the effect of doping, annealing temperature and visible optical excitation on CuO-ZnO nanocomposites’ acetone sensing properties and introduce an attractive candidate for acetone detection at about room temperature.

ZnO nanoparticles doped with CuO were prepared by sol-gel method, and the structure and morphology were characterized via X-ray diffraction, scanning electron microscope, energy dispersive spectroscopy and Brunauer-Emmett-Teller. The photoelectric responses of CuO-ZnO nanocomposites to cetone under the irradiation of visible light were investigated at about 30°C. The photoelectric response mechanism was also discussed with the model of double Schottky.

The doping of CuO enhanced performance of ZnO nanoparticles in terms of the photoelectric responses and the gas response and selectivity to acetone of ZnO nanoparticles, in addition, decreasing the operating temperature to about 30ºC. The optimum performance was obtained by 4.17% CuO-ZnO nanocomposites. Even at the operating temperature, about 30ºC, the response to 1,000 ppm acetone was significantly increased to 579.24 under the visible light irradiation.

The sensor fabricated by 4.17% CuO-ZnO nanocomposites exhibited excellent acetone-sensing characteristics at about 30ºC. It is promising to be applied in low power and miniature acetone gas sensors.

In the present research, a new nanocomposite material of CuO-ZnO was prepared by Sol-gel method. The optimum gas sensing properties to acetone were obtained by 4.17% CuO-ZnO nanocomposites at about 30ºC operating temperature when it was irradiated by visible light with the wavelength more than 420 nm.

This study aims to describe the preparation of antimicrobial material usable in 3D printing of medical devices. Despite the wealth of technological progress at the time of the crisis caused by SARS-CoV-2 virus: Virus that causes current Pandemic situation (COVID-19), the global population had long been exposed beforehand to an acute absence of essential medical devices. As a response, a new type of composite materials intended for rapid prototyping, based on layered silicate saponite (Sap), antimicrobial dye phloxine B (PhB) and thermoplastics, has been recently developed.

Sap was modified with a cationic surfactant and subsequently functionalized with PhB. The hybrid material in powder form was then grounded with polyethylene terephthalate-glycol (PETG) or polylactic acid (PLA) in a precisely defined weight ratio and extruded into printing filaments. The stability and level of cytotoxicity of these materials in various physiological environments simulating the human body have been studied. The applicability of these materials in bacteria and a yeast-infected environment was evaluated.

Ideal content of the hybrid material, with respect to thermoplastic, was 15 weight %. Optimal printing temperature and speed, with respect to maintaining antimicrobial activity of the prepared materials, were T = 215°C at 50 mm/s for PETG/SapPhB and T = 230°C at 40 mm/s for PLA/SapPhB. 3 D-printed air filters made of these materials could keep inner air flow at 63.5% and 76.8% of the original value for the PLA/SapPhB and PETG/SapPhB, respectively, whereas the same components made without PhB had a 100% reduction of airflow.

The designed materials can be used for rapid prototyping of medical devices.

The new materials have been immediately used in the construction of an emergency lung ventilator, Q-vent, which has been used in different countries during the COVID-19 crisis.

The purpose of this research is to review literature about the performance assessment (PA) in urban fire departments (FDs) to gain state-of-the-art of the fire departments' performance assessment (FDPA) and identify its most applied methods and indicators.

A five-stage structured literature review (SLR) is conducted to review the FDPA-related studies; then, the statistical analysis is applied to reveal more information from the extracted data and design a general framework for FDPA.

The systematic literature review resulted in 336 independent variables for FDPA and finding the data envelopment analysis (DEA) as the most applied FDPA method among the mathematical and statistical models in the reviewed papers. By using analysis outcomes, a general conceptual framework for FDPA is proposed.

The reviewed studies were limited to assessments at the strategic level and urban fire protection services.

The results of this research can support fire protection service managers, decision-makers, PA researchers and academicians to have a better understanding of FDPA and state-of-the-art in this field.

A considerable number of studies have been done about the FDPA to provide methods to improve the efficiency and effectiveness of FDs. Although there are reviews about PA in fire service areas, to the best of our knowledge, no study has been done about FDPA.

Self-service libraries (SSLs) have been regarded as an effective approach to provide convenient book services to the enormously large populations of China’s cities. These SSLs are in fact automatic book service machines, which provide a combination of services, including reading card issuing, book lending and returning, and book reservations and collection. However, despite acclaimed success, SSL services are not well received by patrons and are underutilised. The purpose of this paper is to identify and understand the causes of the underutilisation of SSL services in Chinese cities.

This study adopted an inductive approach and a case study research design. The SSL services in Wuhan, the capital city of Hubei Province, were adopted as the case study, in which 20 public librarians, SSL workers and managers, and library patrons were approached and interviewed using semi-structured question scripts. The interview data were analysed using a thematic analysis approach.

The analysis pointed to 13 causes in three main themes: management problems, service limitations, and the implicit role of government. Further conceptualisation of the findings revealed that the underutilisation of SSL services has resulted from the absence of a patron-centric perspective and the negligence of patrons’ needs and requirements. Therefore, to increase the popularity and usage of SSLs, it is necessary to develop patron-centric management mechanisms through which patrons’ needs and requirements can be effectively understood and responded to.

This study aims to develop specific suggestions to improve the usage of SSLs. Furthermore, although this study focuses on SSL development in China, this research can provide useful suggestions and implications that can be shared across international borders.

The interruption event will seriously affect the normal operation of urban rail transit lines,causing a large number of passengers to be stranded in the station and even making the train stranded in the interval between stations. This study aims to reduce the impact of interrupt events and improve service levels.

To address this issue, this paper considers the constraints of train operation safety, capacity and dynamic passenger flow demand. It proposes a method for adjusting small loops during interruption events and constructs a train operation adjustment model with the objective of minimizing the total passenger waiting time. This model enables the rapid development of train operation plans in interruption scenarios, coordinating train scheduling and line resources to minimize passenger travel time and mitigate the impact of interruptions. Regarding the proposed train operation adjustment model, an improved genetic algorithm (GA) is designed to solve it.

The model and algorithm are applied to a case study of interruption events on Beijing Subway Line 5. The results indicate that after solving the constructed model, the train departure intervals can be maintained between 1.5 min and 3 min. This ensures both the safety of train operations on the line and a good match with passengers’ travel demands, effectively reducing the total passenger waiting time and improving the service level of the urban rail transit system during interruptions. Compared to the GA algorithm, the algorithm proposed in this paper demonstrates faster convergence speed and better computational results.

This study explicitly outlines the adjustment method of using short-turn operation during operational interruptions, with train departure times and station stop times as decision variables. It takes into full consideration safety constraints on train operations, train capacity constraints and dynamic passenger demand. It has constructed a train schedule optimization model with the goal of minimizing the total waiting time for all passengers in the system.