The 2019 coronavirus outbreak (COVID-19) is affecting over 210 countries and territories, and it is spreading mainly by respiratory droplets. The use of disposable surgical masks is common for patients, doctors, and even the general public in highly risky areas. However, the current surgical masks cannot self-sterilize in order to reuse or be recycled for other applications. The resulting high economic and environmental costs are further damaging societies worldwide. Herein, we reported a unique method for functionalizing commercially available surgical masks with outstanding self-cleaning and photothermal properties. A dual-mode laser-induced forward transfer method was developed for depositing few-layer graphene onto low-melting temperature nonwoven masks. Superhydrophobic states were observed on the treated masks’ surfaces, which can cause the incoming aqueous droplets to bounce off. Under sunlight illumination, the surface temperature of the functional mask can quickly increase to over 80 °C, making the masks reusable after sunlight sterilization. In addition, this graphene-coated mask can be recycled directly for use in solar-driven desalination with outstanding salt-rejection performance for long-term use. These roll-to-roll production-line-compatible masks can provide us with better protection against this severe virus. The environment can also benefit from the direct recycling of these masks, which can be used for desalinating seawater.

On-machine and in-process surface metrology are important for quality control in manufacturing of precision surfaces. The classifications, requirements and tasks of on-machine and in-process surface metrology are addressed. The state-of-the-art on-machine and in-process measurement systems and sensor technologies are presented. Error separation algorithms for removing machine tool errors, which is specially required in on-machine and in-process surface metrology, are overviewed, followed by a discussion on calibration and traceability. Advanced techniques on sampling strategies, measurement systems-machine tools interface, data flow and analysis as well as feedbacks for compensation manufacturing are then demonstrated. Future challenges and developing trends are also discussed.

PurposeThis paper aims to present a systematic approach for knowledge auditing which is composed of a number of stages with the focus on the establishment of an overall framework and customized tools for knowledge auditing.Design/methodology/approachThe systematic approach for knowledge auditing is composed of eight phases: orientation and background study, cultural assessment, in‐depth investigation, building knowledge inventory and knowledge mapping, knowledge network analysis and social network analysis, recommendation of knowledge management strategy, deploying KM tools and building collaborative culture, and continuous knowledge re‐auditing, respectively.FindingsA systematic approach for knowledge auditing is proposed and trial successfully implemented in a railway company. The results show that the systematic knowledge auditing approach yields a number of benefits that include the identification of the critical knowledge and the subsequent recommendations can be derived for better managing the knowledge in the railway company.Practical implicationsMany KM programs failed because the companies themselves lacked the knowledge on KM and their knowledge organization. The practical implementation of the systematic approach for knowledge auditing allows an organization to reveal its KM needs, strengths, weaknesses, opportunities, threats and risks. Hence, appropriate KM strategy can be derived for better managing its knowledge.Originality/valueThe proposed systematic approach for knowledge auditing addresses the shortcomings of some existing knowledge audit approaches which generally lack a systematic approach and have limited practical value for real‐life implementation. The capability of the proposed systematic approach is demonstrated through a successful implementation in a railway company.

Purpose -The purpose of this paper is to focus on the design of a counterfeit network analyzer (CNA) for aggregating all the problematic product flows in order to discover any counterfeit distribution source, and to control the spread of counterfeit goods. The analyzer leverages radio frequency identification (RFID) information stored within the electronic product code (EPC) network. Design/methodology/approach -The system architecture of the proposed CNA is first discussed. A case study of the system application in a Hong Kong pharmaceutical manufacturing company then presents the adoption process and the challenges encountered in such technologies. Findings -Compared with traditional approaches, the results show that the proposed RFID solution is reliable and is capable of discovering counterfeit distributions, as well as reducing the detection costs by means of higher product movement visibility within the supply chain. Practical implications -A prototype system has been constructed and trial implemented in a pharmaceutical manufacturing company. It proved to be of benefit to the manufacturer who is able to deter product counterfeiting effectively and visualize real-time supply chain data automatically. Originality/value -The proposed CNA is designed to overcome issues of information invisibility, which is considered a huge cost lost in the identification of counterfeit products, loss of sales and reputation associated with the counterfeiting, and ineffective product authentication in the manufacturing industry. This paper contributes to the RFID research in the counterfeiting area by studying the feasibility and practicality of shifting the focus of product identification from the traditional package redesign solutions to the visualization of the movement of the product (i.e. product supply chain) via the use of RFID and EPC. Furthermore, a pharmaceutical manufacturing site provided a case study for discussing the advantages, critical issues for implementation of the RFID system, and lessons learned.

Liquid metal (LM) has recently been used as an advanced stretchable material for constructing stretchable and wearable electronics. However, due to the poor wettability of LM and the large dimensional change during stretching, it remains very challenging to obtain a high conductivity with minimum resistance increase over large tensile strains. To address the challenge, an LM‐superlyophilic and stretchable fibrous thin‐film scaffold is reported, on which LM can be readily coated or printed to form permeable superelastic conductors. In contrast to conventional LM‐based conductors where LM particles are filled into an elastic matrix or printed on the surface of an elastic thin film, the LM can quickly infuse into the LM‐superlyophilic scaffold and form bi‐continuous phases. The LM‐superlyophilic scaffold shows unprecedented advantages of an extremely high uptake of the LM and a conductivity‐enhancement characteristic when stretched. As a result, the LM‐based conductor displays and ultrahigh conductivity of 155 900 S cm−1 and a marginal resistance change by only 2.5 fold at 2 500% strain. The conductor also possesses a remarkable durability over a period of 220 000 cycles of stretching tests. The printing of LM onto the LM‐superlyophilic scaffold for the fabrication of various permeable and wearable electronic devices is demonstrated.

No abstract

No abstract

No abstract