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The purpose of this paper is to describe a calibration method developed to improve the accuracy of a six degrees-of-freedom medical robot. The proposed calibration approach aims to enhance the robot’s accuracy in a specific target workspace. A comparison of five observability indices is also done to choose the most appropriate calibration robot configurations.

The calibration method is based on the forward kinematic approach, which uses a nonlinear optimization model. The used experimental data are 84 end-effector positions, which are measured using a laser tracker. The calibration configurations are chosen through an observability analysis, while the validation after calibration is carried out in 336 positions within the target workspace.

Simulations allowed finding the most appropriate observability index for choosing the optimal calibration configurations. They also showed the ability of our calibration model to identify most of the considered robot’s parameters, despite measurement errors. Experimental tests confirmed the simulation findings and showed that the robot’s mean position error is reduced from 3.992 mm before calibration to 0.387 mm after, and the maximum error is reduced from 5.957 to 0.851 mm.

This paper presents a calibration method which makes it possible to accurately identify the kinematic errors for a novel medical robot. In addition, this paper presents a comparison between the five observability indices proposed in the literature. The proposed method might be applied to any industrial or medical robot similar to the robot studied in this paper.

The purpose of this paper is to trace back the roots of US-driven “Human Resource Management” (HRM) school of thought which now become widely institutionalized in China, up to the present day.

It looks at the diffusion of management knowledge over the period to Chinese business, which involved in turn scientific management (SM), human relations (HR) and HRM, respectively, from the interwar years onwards, by using a bibliometric analysis of Chinese language sources, searching a number of databases now available.

The authors scanned the international, as well as Chinese, literature to support a conjecture of a HR route towards China and how it morphed into HRM and went on to conclude that there was by the end of the year 2015 still a significant output of academic publications with references to both HR and HRM, respectively, but that we must be cautious in asserting a firm conclusion.

This paper traces back the roots of Chinese HRM back to the US-driven HR school of thought.

Best value procurement (BVP) has been recognized for some time as offering significant opportunities to advance process excellence in the construction sector. As an innovative approach to strategic procurement, BVP has attracted attention from the New Zealand (NZ) Government. It has similarly been found that the most substantial benefit of this modified approach to procurement is in value creation and innovative organizational processes through identifying “best value.” Yet to date, there is a lack of robust evidence as to how BVP can exactly influence construction innovation. Accordingly, this paper aims to explore how to improve BVP implementation to promote construction innovation and what are the values to be achieved in BVP mega projects from the view of innovation.

Semi-structured interviews with 22 participants, including project managers, procurement specialists, engineers and general managers from three organization types, were conducted to explore BVP implementation in a range of mega construction projects in NZ.

Barriers to BVP implementation and value innovation have been identified in this paper. Data analysis suggested traditional mindset in the procurement process, market constraints, mistrusts and fuzzy definition of BVP are the challenges for BVP implementation; BVP cultivates organizational competition because of diverse collaboration models and value attitudes; and BVP considers more values from the whole supply chain. To promote innovative construction, existing BVP should consider adopting progressive enhancements toward updating procurement guidance, encouraging effective communications, collaborating and promoting changes in stakeholders’ mindset.

Identified barriers to BVP implementation set up a platform for framing guidance, which could provide an effective approach as it enables a better understanding of what BVP means to NZ and what needs to be overcome. Taking this into account, similar small size markets around the world would be able to consider the applicability of BVP for innovative improvements.

This paper provides insights into value concepts in project procurement. It theoretically and practically possesses originality in linking BVP to innovative construction. The study of BVP and its application further reveals the importance of establishing a distinct regulation and fostering organizational competition from value aspects to achieve construction innovation.

This study aims to characterize the mechanical properties of sintered nano-silver under various sintering processes by nano-indentation tests.

Through microstructure observations and characterization, the influences of sintering process on the microstructure evolutions of sintered nano-silver were presented. And, the indentation load, indentation displacement curves of sintered silver under various sintering processes were measured by using nano-indentation test. Based on the nano-indentation test, a reverse analysis of the finite element calculation was used to determine the yielding stress and hardening exponent.

The porosity decreases with the increase of the sintering temperature, while the average particle size of sintered nano-silver increases with the increase of sintering temperature and sintering time. In addition, the porosity reduced from 34.88%, 30.52%, to 25.04% if the ramp rate was decreased from 25°C/min, 15°C/min, to 5°C/min, respectively. The particle size appears more frequently within 1 µm and 2 µm under the lower ramp rate. With reverse analysis, the strain hardening exponent gradually heightened with the increase of temperature, while the yielding stress value decreased significantly with the increase of temperature. When the sintering time increased, the strain hardening exponent increased slightly.

The mechanical properties of sintered nano-silver under different sintering processes are clearly understood.

This paper could provide a novel perspective on understanding the sintering process effects on the mechanical properties of sintered nano-silver.

The purpose of this paper is to establish a conceptual framework to assist decision makers in identifying an appropriate decision-supporting method (DSM) to evaluate public-private partnership (PPP) contract types in a disciplined and systematic manner.

A systematic literature review was conducted to compare and analyse DSMs in construction procurement processes, and explore the benefits and limitations of using DSMs. A conceptual framework is then developed to accommodate client characteristics when selecting DSM in a PPP context. An example was obtained to illustrate the implementation of the proposed framework.

DSMs employed in the procurement method selection are identified by using a systemic literature review. The benefits and limitations of each DSM are established and comparisons of DSMs are provided to fit the client characteristics and a conceptual framework is developed to assist decision makers in choosing DSM for contract selection.

This paper demonstrates a link between DSMs and PPP contracts which adds value at the stage of PPP contract evaluation. Also, the proposed framework sheds some light on an important aspect of the public sector to consider the improvement of current policies (PPP framework/guideline).

This paper aims to use cone-beam computed tomography (CBCT) and computer-aided design/3D printing technology to design and fabricate a drill guide template for access cavity preparation of permanent molars, and conduct a preliminary evaluation of its effectiveness.

CBCT scans were performed on two permanent maxillary first molars extracted due to periodontitis. Based on the scans, guide templates of access cavities were designed. The angle of the guiding cylinders was determined based on the direction of the long axis of the tooth. A 3D resin printer with high resolution was used to print the guide templates. The printed guide templates were used by a dentist with specialized clinical experience to perform access cavity preparation in a dental simulator. Then the prepared access cavities were scanned again by CBCT, and scan data were compared to the design data.

The 3D printed drill guide template had a close fit with the extracted tooth fit. The access cavity prepared using the guide template enabled the removal of the pulp chamber roof, and formed a straight-line access. Points were selected for measurement at regularly spaced intervals of 0.5 mm along the side wall of the access cavity. The mean deviation between the actual access cavities of the two permanent maxillary first molars and the designed cavities was less than 0.1 mm, with a maximum deviation of about 0.5 mm, showing a good conformance between the actual cavity and the designed cavity.

A drill guide template was designed and fabricated by 3D printing technology, which easily guided burs to complete the access cavity preparation work forming an ideal cavity shape with satisfying accuracy, and thus may reduce the complications during pulp chamber entry.

The purpose of this study is to present a newly proposed and developed sorting algorithm-based merging weighted fraction Monte Carlo (SAMWFMC) method for solving the population balance equation for the weighted fraction coagulation process in aerosol dynamics with high computational accuracy and efficiency.

In the new SAMWFMC method, the jump Markov process is constructed as the weighted fraction Monte Carlo (WFMC) method (Jiang and Chan, 2021) with a fraction function. Both adjustable and constant fraction functions are used to validate the computational accuracy and efficiency. A new merging scheme is also proposed to ensure a constant-number and constant-volume scheme.

The new SAMWFMC method is fully validated by comparing with existing analytical solutions for six benchmark test cases. The numerical results obtained from the SAMWFMC method with both adjustable and constant fraction functions show excellent agreement with the analytical solutions and low stochastic errors. Compared with the WFMC method (Jiang and Chan, 2021), the SAMWFMC method can significantly reduce the stochastic error in the total particle number concentration without increasing the stochastic errors in high-order moments of the particle size distribution at only slightly higher computational cost.

The WFMC method (Jiang and Chan, 2021) has a stringent restriction on the fraction functions, making few fraction functions applicable to the WFMC method except for several specifically selected adjustable fraction functions, while the stochastic error in the total particle number concentration is considerably large. The newly developed SAMWFMC method shows significant improvement and advantage in dealing with weighted fraction coagulation process in aerosol dynamics and provides an excellent potential to deal with various fraction functions with higher computational accuracy and efficiency.

In the construction sector, the knowledge-based process outgrows its emphasis on technological aspects. Yet, there is a lack of applied studies showing how a procurement system (PS) could be selected in the digital age. In particular, there is a radical need to establish an innovative process to visualise novel PS decision. Therefore, this paper aims to present a knowledge visualised framework for aiding construction PS decision-making.

This paper describes the construction of process innovation. The framework (process) is supported by four influential decision supporting methods (mean utility values, analytic hierarchy process, fuzzy set theory and Delphi method) and computer programming (Matlab).

There are four stages of this framework: (1) uniform rating for decision alternatives; (2) group decision for determining the decision attribute; (3) determining the final choice; (4) reporting the cognitive computing process. Supported by individual and groups decision dynamics, this framework emphasises how the dashboard aided innovative approach enables the induction of understanding, cognitive computing for decision-making and how the information would precisely be represented, which are vital requirements of modern construction.

The contribution of this paper presents two leverage points that support the modern PS decision. Firstly, this paper provides a holistic view of the decision supporting methods on the basis of how a suitable PS would be systematically sought. Based on the existing studies, this paper upgrades into a visualised knowledge decision supporting process. It helps the participants understand and improve their cognitive learning. Secondly, this framework allows the participants to have a view of the individual and group decisions. It sheds light on the development of the collaborative decision-making process.

This paper aims to examine the effects of visual themes and view perspectives on users’ visual attention to brand posts on Instagram. The impact of visual attention on brand attitude and recognition is also explored.

The authors conducted a 4 (visual themes: customer-centric, employee-centric, product-centric and symbolic visuals) × 2 (view perspectives: first-person view vs third-person view) between-subject factorial eye-tracking experiment to explore their effects on viewers’ visual attention (fixation frequency and fixation duration), attitude toward the brand and brand recognition.

Results showed that, under a first-person view, participants spent the longest time viewing customer-centric images and paid the most attention to product-centric and customer-centric images. For images in the third-person view, product-centric images received the longest fixation duration and highest fixation frequency. Customer-centric image and product-centric image generated significantly higher amount of fixation duration and fixation frequency than the symbolic image, regardless of view perspective. Brand recognition was positively influenced by fixation frequency but not by fixation duration.

This study is an extended application of Aaker’s (1996) brand identity planning model in visual branding on Instagram. As the findings indicated, the effective use of visual strategies could lead to more positive responses toward the brand. By understanding how optical elements stimulate visual branding processing, marketing professionals will be able to improve information designing skills in visual-based social media platforms (such as Instagram).

The purpose of this paper is to define the “fast evolving industry” (FEI) and its supply chain management (SCM) challenges. The authors review and structure the literature regarding integration strategies and implementation methods to develop a strategic decision-making framework for SCM in the FEI.

The authors conduct a review of SCM literature, including supply chain strategy, supply chain integration (SCI), agile and responsive supply chain and SCM for innovative and fast-changing industries. The authors develop a conceptual model and a decision-making framework and use four mini cases to provide support for the model and framework.

The FEI, characterised by a high level of innovation and differentiation, short products/services lifecycle and high variety, is yet to be fully defined. Inherent uncertainty in FEI supply systems makes SCM in these industries a complex but strategic task for their managers. The framework and the model offered in this study, which employ a core competency concept and provide risk management strategies, offer a strategic tool for managers and scholars in the field to optimise their integration strategies and to operationalise integration decisions.

Little research has been published on transferable and cross-industrial SCM in FEIs. This paper defines the FEI and its resource-related concerns and then offers a conceptual model and a strategic decision-making framework for SCI in FEIs.