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The foundation of social and economic growth is seen to be the manufacturing sector. Processing raw materials or components into completed products that are ready for consumer purchase is known as manufacturing. A new technology called the industrial internet of things (IIoT) has the potential to increase manufacturing productivity, reduce costs, and boost industrial intelligence. Digitalization and automation are constrained by political unpredictability, economic volatility, and a shortage of skilled labor. We proposed a completely unique transfer learning-based data fusion machine (TLDF) to deal with these troubles in IIoT. We suggested a multi-source deep Q-networks (MDQN) technique for task classification, task receiver, and private safeguarding for the manufacturing industry. Data fusion, which includes the gathering and analyzing of massive volumes of internet of things (IoT) data produced through industrial packages and gadgets, and the examination of this data is important to the improvement of producing manufacturing applications in IIoT. The outcome demonstrates that the suggested technique carried out low latency, excessive throughput, and accuracy. The focus of the research is on data fusion and its role in the digital transformation of the industrial sector. It emphasizes the need for ongoing innovation in data integration technology and the implementation of a comprehensive data management strategy.

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AUSTRALIA – Australian Scientists' Lung Breakthrough.

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AUSTRALIA – Cancer Treatment Pioneered in Melbourne being Hailed as a Global Lifesaver.

CHINA – Plastic Surgery Increasingly Popular Among Seniors.

CHINA – Scientists Develop New Nanotech Approach.

INDIA – India to Promote Biotech R&D Activities in NE States.

INDIA – India to Set Up Academy of Scientific and Innovative Research.

INDIA – Rare Ear Surgery Performed on Dubai Boy.

INDIA – Global Biotech Firms Seek Partnerships in India for Bigger Gains.

SINGAPORE – GSK, EDB to Fund S$50 mn to Support Manufacturing in Singapore.

SINGAPORE – A*STAR, UK Unite to Fight Infectious Disease.

SINGAPORE – New Treatment Option for Women Who Suffer from Incontinence.

THAILAND – Thailand Builds Capabilities in Nanotech Research.

OTHER REGIONS — NORTH AMERICA – Scientists Predict Lifespan.

OTHER REGIONS — NEW ZEALAND – Orthopedic Implants Made from Shell.

Discrete event simulation is a popular aid for manufacturing system design; however in application this technique can sometimes be unnecessarily complex. This paper is concerned with applying an alternative technique to manufacturing system design which may well provide an efficient form of rough-cut analysis. This technique is System Dynamics, and the work described in this paper has set about incorporating the principles of this technique into a computer based modelling tool that is tailored to manufacturing system design.

This paper is structured to first explore the principles of System Dynamics and how they differ from Discrete Event Simulation. The opportunity for System Dynamics is then explored, and this leads to defining the capabilities that a suitable tool would need. This specification is then transformed into a computer modelling tool, which is then assessed by applying this tool to model an engine production facility.

There is a tremendous housing shortage in the world that can only be overcome by innovative designs and enlightened production management, such as lean construction. This paper presents a method for fast and low-cost erection of apartment housing units that have architectural flexibility, manufacturing flexibility, and erection flexibility. Flexibility is one of the fundamental aspects of lean manufacturing. The paper describes an innovative design using cam and nut jointing methods for large panel erection, and presents characteristics of an appropriate structural system to correspond to the mechanical jointing and quick erection needs. Current precast plants can quickly acquire capabilities to manufacture large panels as per the stated design using cam and nut. The cam screw and cam nut scheme is conducive to quick erection, besides being capable of withstanding all structural and natural loads. Erection speeds using this method are estimated to be about ten times as fast as conventional methods, thereby facilitating lean production. This paper presents an overall lean approach to the design, manufacture, and construction of this innovative housing system. It is believed that only through innovative systems can future technology needs of the world be met.

In this investigation, three routes, namely, uniaxial pressing, slip casting and H₂O₂ foaming, were used to fabricate porous hydroxyapatite (HA). Processing parameters in each route were studied, pore characteristics in sintered bodies assessed, and mechanical properties of porous HA evaluated. Scanning electron microscopy, gas pycnometry and mercury intrusion porosimetry were used to assess pore characteristics in terms of porosity, pore size and pore shape. Mechanical properties of porous HA were evaluated using a biaxial testing fixture. The 2³ factorial design method was used to determine the influence of pore characteristics on mechanical properties. It was shown that pore characteristics were dependent on the manufacturing route, processing parameters, porosifier and the amount of porosifier. In the uniaxial pressing and slip casting routes, porosity, pore size and pore shape could be controlled using different porosifiers. Porosifiers were able to pass their geometrical characteristics to the pores they formed. Although H₂O₂ foaming was the simplest route and large pores could be formed through this route, pore characteristics were not easily controllable. It was found that porosity, pore size and pore shape all had effects on mechanical properties of sintered products. The interaction of pore size and pore shape affected mechanical properties in that it caused mechanical properties to vary differently according to pore shape (or pore size) when pore size (or pore shape) was at different levels.

A variety of bioactive particle filled polymers have been developed for tissue replacement since the early 1980s. In this investigation, hydroxyapatite (HA) reinforced polysulfone (PSU) composites were produced and evaluated for potential medical applications. Composites containing up to 15vol% of HA were studied at the preliminary stage. The HA/PSU composites were made through a standardised procedure by incorporating a commercially available HA powder into a polysulfone resin of medium viscosity that is suitable for injection moulding. Compounded materials and injection moulded parts were assessed using a variety of techniques. It was found that HA particles were well dispersed in the PSU matrix after the compounding process. Defect-free composite samples could be obtained by injection moulding. Thermogravimetric analysis (TGA) verified volume percentages of HA in the composites. Differential scanning calorimetry (DSC) results indicated that the glass transition temperature (Tg) of the polymer matrix was not affected by the incorporation of HA. It was shown through dynamic mechanical analysis (DMA) that the storage modulus of the composite was increased with an increase in HA content below ~185°C which is Tg of the polymer, while tan δ was maintain at nearly the same level for all composites. It was established that water uptake reached an equilibrium after 7 days’ immersion in distilled water for all composites and unfilled PSU. It was found that after 7 days’ immersion in distilled water, the storage modulus of HA/PSU composite was decreased less than that of unfilled PSU.