Design Perspective Research Articles

AI-assisted Curatorial Research

This thesis explores the application of Artificial Intelligence (AI) in curation, especially from the screening of photographic works to a new perspective of exhibition design and audience experience. With the rapid development of AI technology, the field of curation is undergoing profound changes.AI improves the efficiency and accuracy of work screening through image recognition and automated processing in photography; in exhibition design, it provides innovative tools for exhibition layout and optimisation by using Virtual Reality (VR) and Augmented Reality (AR) technology; and in terms of audience experience, AI enhances interaction and engagement through intelligent guides and personalised recommendations. interactivity and engagement. However, the application of AI also faces challenges, including data privacy, creative constraints, costs and technical thresholds. Future research will focus on the integration of AI with artistic creation, the enhancement of personalised experiences, privacy protection, and the integration of cross-domain technologies. By addressing these challenges, AI is expected to drive continued innovation and development in the curatorial industry, providing smarter and more efficient solutions for art presentation and audience experience.

Laboratory Experimental Investigation on the Structural Optimization of a Novel Coupled Energy Tunnel

Freezing damage to tunnels in cold regions has long posed a threat to the safe operation of high-speed trains and other means of transportation. Finding a reasonable and effective solution to this problem, while also considering green, low-carbon, energy-saving, and environmental protection measures, has garnered widespread attention. Herein, the concept of a novel coupled energy tunnel is proposed, which combines the technologies of an air curtain and ground source heat pump (GSHP). The aim is to effectively address the issue of freezing damage in tunnels located in cold regions, while ensuring traffic safety. First, the multifunctional experimental apparatus for testing the anti-freezing and insulation performance of a coupled energy tunnel was independently designed and developed for laboratory experiments. Second, single-factor experiments and orthogonal experiments are conducted, and the influences of five key factors (i.e., the air outlet hole diameter, air outlet hole spacing, circulating water temperature of the GSHP, wind speed at the tunnel model entrance, and airflow jet angle) on the internal temperature field of the tunnel model are discussed. Third, combined with range analysis and variance analysis, the ranking of importance for each key factor and the optimal scheme of the coupled energy tunnel are obtained as follows: wind speed at the tunnel model entrance D > circulating water temperature of GSHP C > airflow jet angle E > air outlet hole spacing B > air outlet hole diameter A, and the optimal scheme is A2B1C4D1E2, i.e., the air outlet hole diameter is 3 mm, the air outlet hole spacing is 10 mm, the circulating water temperature of GSHP is 50 °C, the wind speed at the tunnel model entrance is 1.5 m/s and the airflow jet angle is 45°. In conclusion, the research achievements presented in this paper can offer a new perspective for the structural design of tunnels in cold regions. Additionally, they contribute to the early achievement of a carbon dioxide emissions peak and carbon neutrality, and provide some valuable and scientific references for both innovators and practitioners.

Construction of LDH-derived CoNiP modified W/Z-CdS homojunction for improved photocatalytic hydrogen evolution: Achieving broad solar light response and multiple phases charge transfer

Heterojunction engineering represents a robust strategy for accelerating carrier transfer, thereby enhancing the activity of photocatalytic hydrogen evolution. In this work, a series of innovative CoNiP@W/Z-CdS heterojunctions were prepared for the purpose of investigating the photocatalytic hydrogen evolution activity under visible light-driven. To achieve high efficiency, lamellar CoNiP was first synthesized through the phosphatisation of CoNi LDH precursor. Subsequently, the W/Z-CdS homojunction was in-situ grown on the CoNiP via the hydrothermal method, resulting in the formation of the CoNiP@W/Z-CdS homojunction/heterojunction. The hydrogen evolution rate of 3% CoNiP@W/Z-CdS composite reaches 60.6 mmol/g/h, which is 3.6 times, 7.0 times and 11.9 times higher than that of W/Z-CdS, W-CdS and Z-CdS, respectively. The enhanced photocatalytic performance of 3% CoNiP@W/Z-CdS can be attributed to the introduction of an ultra-thin CoNiP bimetallic phosphide as cocatalyst, which increases the specific surface area to provide a large number of active sites for the catalytic reaction, and broadens the absorption range of sunlight. In particular, the synergistic effect between homojunction and Schottky junction in 3% CoNiP@W/Z-CdS further accelerates separation and migration rate of double interfacial carriers, improving photocatalytic H2 rate. This work offers a new perspective for the rational design of three-phase binary photocatalysts with high activity and stability.

How can we improve AI competencies for tomorrow's leaders: Insights from multi-stakeholders’ interaction

This study investigates factors influencing artificial intelligence (AI) competencies in higher education for sustainable development using learning theories. Utilizing a mixed-method approach, it analyzes responses from 525 students and interviews with 35 faculty members from five Indian universities. The study employs confirmatory factor analysis (CFA) and structural equation modeling (CB-SEM) to explore relationships between various learning approaches and AI competencies. Findings indicate that collaborative learning, problem-solving, and cognitive competence significantly contribute to AI proficiency. Human-tool collaboration and self-learning also enhance students' understanding of AI concepts, fostering strategic decision-making in business contexts. Additionally, thematic analysis from qualitative interviews identifies critical themes for developing an AI curriculum framework, including curriculum design, pedagogical strategies, ethical considerations, and global perspectives. The research provides an integrated theoretical model and offers practical recommendations for enhancing AI education, emphasizing the importance of interdisciplinary collaboration and ethical AI usage in management education.

Titanium Dioxide and Photocatalysis: A Detailed Overview of the Synthesis, Applications, Challenges, Advances and Prospects for Sustainable Development

The term “photocatalysis” has recently gained high popularity, and various products using photocatalytic functions have been commercialized. Of all the materials that may be used as photocatalysts, titanium dioxide (TiO2) is virtually the only one that is now and most likely will remain appropriate for industrial application. Water and air purification systems, sterilization, hydrogen evolution, self-cleaning surfaces, and photoelectrochemical conversion are just a few of the products and applications in the environmental and energy domains that make extensive use of TiO2 photocatalysis. This is due to the fact that TiO2 has the lowest cost, most stability, and most effective photoactivity. Furthermore, history attests to its safety for both people and the environment because it has been used as a white pigment since antiquity. This review discusses some important aspects and issues concerning different synthesis methods and their influence on the structure and properties of TiO2, as well as the concept of photocatalysis based on it as a promising biocompatible functional material that has been widely used in recent years. The advantages of TiO2 applications in various fields of science and technology are discussed, including environmental protection, photocatalysis including self-cleaning surfaces, water and air purification systems, hydrogen liberation, photovoltaic energy, cancer diagnosis and therapy, coatings and dental products, etc. Information on the structure and properties of TiO2 phases is presented, as well as modern methods of synthesizing functional materials based on it. A detailed review of the basic principles of TiO2 photocatalysis is then given, with a brief introduction to the modern concept of TiO2 photocatalysis. Recent advances in the fundamental understanding of TiO2 photocatalysis at the atomic-molecular level are highlighted, and advances in TiO2 photocatalysis from the perspective of design and engineering of new materials are discussed. The challenges and prospects of TiO2 photocatalysis are briefly discussed.

Disengagement From Games: Characterizing the Experience and Process of Exiting Play Sessions

The games research community has developed substantial knowledge on designing engaging experiences that draw players in. Surprisingly, less is known about player disengagement, with existing work predominantly addressing disengagement from the perspective of problematic play, and research exploring player disengagement from a constructive designer perspective is lacking. In this paper, we address this gap and argue that disengagement from games should be constructively designed, allowing players to exit play sessions in a self-determined way. Following a two-phase research approach that combines an interview study ( n =16) with a follow-up online survey ( n =111), we systematically analyze player perspectives on exiting play sessions. Our work expands the existing notion of disengagement through a characterization of exit experiences, a lens on disengagement as a process, and points for reflection for the design of games that seek to address player disengagement in a constructive way.

Multistage Spatial-Spectral Fusion Network for Spectral Super-Resolution.

Spectral super-resolution (SSR) aims to restore a hyperspectral image (HSI) from a single RGB image, in which deep learning has shown impressive performance. However, the majority of the existing deep-learning-based SSR methods inadequately address the modeling of spatial-spectral features in HSI. That is to say, they only sufficiently capture either the spatial correlations or the spectral self-similarity, which results in a loss of discriminative spatial-spectral features and hence limits the fidelity of the reconstructed HSI. To solve this issue, we propose a novel SSR network dubbed multistage spatial-spectral fusion network (MSFN). From the perspective of network design, we build a multistage Unet-like architecture that differentially captures the multiscale features of HSI both spatialwisely and spectralwisely. It consists of two types of the self-attention mechanism, which enables the proposed network to achieve global modeling of HSI comprehensively. From the perspective of feature alignment, we innovatively design the spatial fusion module (SpatialFM) and spectral fusion module (SpectralFM), aiming to preserve the comprehensively captured spatial correlations and spectral self-similarity. In this manner, the multiscale features can be better fused and the accuracy of reconstructed HSI can be significantly enhanced. Quantitative and qualitative experiments on the two largest SSR datasets (i.e., NTIRE2022 and NTIRE2020) demonstrate that our MSFN outperforms the state-of-the-art SSR methods. The code implementation will be uploaded at https://github.com/Matsuri247/MSFN-for-Spectral-Super-Resolution.

Prioritizing industry 4.0 technologies (I4.0T) through an interpretive ranking process (IRP): a design and manufacturing perspective

Prioritizing industry 4.0 technologies (I4.0T) through an interpretive ranking process (IRP): a design and manufacturing perspective

Current progress on trained immunity-based vaccines

Trained immunity-based vaccines (TIbV) is an emerging vaccine strategy in the field of vaccine research, referring to vaccines designed based on the principles of trained immunity (TI). TI involves the enhanced immune response of innate immune cells upon re-stimulation after being trained. TIbV, built on the concept of TI, aims to enhance resistance to various infectious pathogens by training the host's innate immune system to acquire natural immune memory. This approach is designed to bolster immunity against a wide range of infectious agents, including those not covered by conventional vaccines. This article reviews the concepts, mechanisms, application areas, and future prospects of TIbV, intending to offer a new perspective for vaccine development and design.

Analysis of the exergy transfers in subcritical and transcritical CO[formula omitted] ejectors and their connection with the performance of the refrigeration cycle

Ejector refrigeration systems (ERSs) operating with carbon dioxide are notoriously challenging from both design and operation perspectives. In particular, the ejector itself gives rise to special attention since it directly affects the performance of the global system. In this study, the connections between local exergy transfers within the ejector and global cycle performance are investigated by using a novel multi-scale numerical approach. Computational Fluid Dynamics (CFD) is used to generate accurate predictions of the ejector operation with access to the local flow and heat transfer features. The exergy tube analysis is applied onto the simulation results, linking local transfers within the ejector to the results at the component- and cycle-scale. A state-of-the-art ejector thermodynamic model is then calibrated onto the CFD results, and employed to determine the physically possible operation of the ERS. In addition, the metastability impact on the exergy transfers and overall system performance is investigated by comparing the CFD results of the classical Homogeneous Equilibrium Model with those obtained with the Homogeneous Relaxation Model. Notably, it is found that at fixed ejector inlet conditions, there exits an outlet pressure that maximizes the exergy transfers from primary to secondary streams. Interestingly, this work shows for the first time that the maximum exergy gain of the secondary stream appears to correlate with the maximum coefficient of performance of the system, independently of the on- or off-design operation of the ejector. Moreover, metastability generally deteriorates the performance at both scales. The results of the present study serve to pave the way towards better ejector design objectives.

Modelling of courtyard acoustics using the nodal discontinuous Galerkin finite element method to validate a newly developed PML

Evaluating the acoustics of courtyards has gained increasing attention from a sustainable urban design perspective, which requires numerical predictions tools for estimation of noise pollution and assessment of the influence of acoustic conditions. Accurate modeling of the acoustics of a courtyard is scarce because of the variety of factors to include: meteorological effects, building material properties, and geometry of the inner façades. We consider the nodal Discontinuous Galerkin finite element method framework in a 3D static and uniform medium and use it to model the sound propagation in a courtyard. A new and efficient Perfectly Matched Layer formulation is implemented at the open boundary of the courtyard model to absorb outgoing acoustic waves and this way limiting the size of the computational domain. The numerical results are validated against experimental measurements carried out in a scaled model of a courtyard with an elementary design to implement an accurate corresponding numerical model. The experiments were conducted in an anechoic chamber where the meteorological effects are controlled, and the courtyard facades are modelled as flat surfaces with known material properties.

Surface roughness effects in a transonic axial flow compressor operating at near-stall conditions

Surface roughness is a major contributor to performance degradation in gas turbine engines. The fan and the compressor, as the first components in the engine's air path, are especially vulnerable to the effects of surface roughness. Debris ingestion, accumulation of grime, dust, or insect remnants, typically at low atmospheric conditions, over several cycles of operation are some major causes of surface roughness over the blade surfaces. The flow in compressor rotors is inherently highly complex. From the perspective of the component designers, it is, thus, important to study the effect of surface roughness on the performance and flow physics, especially at near-stall conditions. In this study, we examine the effect of surface roughness on flow physics such as shock-boundary layer interactions, tip and hub flow separations, the formation and changes in the critical points, and tip leakage vortices among other phenomena. Steady and unsteady Reynolds Averaged Navier Stokes calculations are conducted at near-stall conditions for smooth and rough National Aeronautics and Space Administration rotor 67 blades. Surface streamlines, Q-criterion, and entropy contours aid in analyzing the flow physics qualitatively and quantitatively. It is observed that from the onset of stall, to fully stalled conditions, the blockage varies from 21.7% to 59.6% from 90% span to the tip in the smooth case, and from 40.5% to 75.2% in the rough case. This significant blockage, caused by vortex breakdown and chaotic flow structures, leads to the onset of full rotor stall.

Caudal peduncle-inspired two-degree-of-freedom elastic coupling fin propulsion method

Marine animals orchestrate the swimming process through the coordinated interplay of body musculature, the caudal peduncle, and the caudal fin. However, understanding the coordinated action of these components to achieve high propulsive performance remains a significant challenge. The study proposes a self-propulsive physical model with two-degree-of-freedom (DoF) elastic coupling inspired by the caudal peduncle, where the caudal peduncle exhibits spring-like behaviors influencing the tail's motion along heave/pitch directions. The complex nonlinear fluid–structure interaction issues are addressed via the nonlinear vortex sheet method. The study primarily compares the propulsive performance of the two-DoF elastic coupling caudal fin model with the pitch caudal fin model. Numerical results show that the peak efficiency of the proposed model is nearly eight times that of the pitch caudal fin model. Additionally, the study reveals that the high-propulsive mechanism lies in generating the figure of a butterfly phase diagram for the hydrodynamic forces and exploiting vortices to decrease energy consumption. These findings offer novel perspectives for the future design of high-efficiency underwater robots.

Experimental study on the formation and evolution of unconfined counter-helicity spheromaks merging using magnetized coaxial plasma gun

The formation and evolution of unconfined counter-helicity spheromaks merging have been experimentally investigated by using a magnetized coaxial plasma gun. By comparing the time-dependent photodiode signals and plasma radiation images of counter-helicity spheromaks merging and plasma jets merging, it is found that the field-reversed configuration (FRC) plasma formed by counter-helicity spheromaks merging has a distinct contour and a long maintenance time. For plasma jets merging, the resulting plasma has no discernible contours and a shorter lifetime. In addition, it is inferred from these data that stagnation heating and magnetic reconnection events occur during the counter-helicity spheromaks merging, causing a rapid rise in plasma pressure at the merging midplane and sharp kinks in the field lines near the merger region. By changing different operating parameters and observing the impact on the merger characteristics, it is suggested that the qualitative dynamics of the FRC plasma depends on the balance between the plasma pressure and the magnetic pressure. The high discharge voltage breaks the equilibrium in the merged body, while the large gas-puffed mass just weakens the compression effect of the merged body. These results give us an intuitive understanding of the counter-helicity spheromak merger process and its dependence on discharge parameters, and also provide a distinct perspective for the optimal design of FRC.

Kinematic versus mechanical alignment: A systematic review of systematic reviews and meta-analyses of randomised controlled trials.

The purpose of this study was to review the currently available systematic reviews and meta-analyses comparing kinematic alignment (KA) and mechanical alignment (MA). A literature search was performed to obtain all systematic review and meta-analyses comparing KA to MA that included one or more randomised controlled trials. A total of 18 studies were obtained, three of which were systematic reviews without meta-analysis. Studies were evaluated based on their meta-analysis methodology, appropriate inclusion criteria, the use of correct definitions of each alignment technique, and risk of bias. These 18 studies included between 3 and 14 RCTs in each study. From the perspective of study design, the majority of papers had low risk of bias. In contrast, most of these reviews had technical issues pertaining to study inclusion in their meta-analyses that would potentially compromise their conclusions. These included mixing time points in the analysis, duplicate inclusion of patients in a meta-analysis, inclusion of studies with incorrect definitions of KA, inclusion of studies performed with restricted kinematic alignment with the KA group, and inappropriate combination of studies with bilateral total knee arthroplasty (TKA) with studies with unilateral TKA. The current literature is inadequate to determine if there is any advantage to KA compared to MA in TKA. Claims made in systematic reviews and meta-analyses on the subject must be carefully scrutinised based not only on risk of bias but also on the included study populations, the surgical methodology of each underlying study, and the authors' understanding of the definitions of each alignment technique. Level 1 based on this study being a systematic review with the inclusion of only systematic reviews and meta-analyses of randomised controlled trials.

Urban design and wildfire engineering at the wildland-urban interface: a review of international urban planning and building requirements

It has been almost a decade since Gonzalez-Mathiesen and March (2014) completed their international analysis that identified 9 design features for wildfire risk reduction via urban planning. Despite their recommendations and subsequent global attempts to enhance and improve resilience from an urban design perspective, wildfires1 remain one of the costliest hazards globally, both from a financial and a human perspective. This continued devastation raises the question as to whether urban design and wildfire engineering practices have either been adopted or changed since Gonzalez-Mathiesen and March (2014). To consider this, this paper presents a review and comparison of contemporary international wildland-urban-interface-related urban design legislation, policy and frameworks. Inconsistent approaches to addressing wildfire-related risk, and at times competing standards required between planning and building approaches were identified. These only serve to further reduce the potential effectiveness of measures intended to improve wildfire resilience at the national and international scales. Future work should focus on establishing evidence-based performance standards that emphasise the practical application of the findings of the best available current research to be incorporated into planning and construction. At the same time, it may be necessary to review policy approaches to clearly align key definitions of tolerable risk as well as provide clarification about how performance standards can be demonstrated.

Design perspectives of a thin film GaAs solar cell integrated with Carrier Selective contacts and anti-reflection coatings: Optical and device analysis

III-V thin-film solar cells (SCs) have shown exceptional optoelectronic properties and remarkable power conversion efficiency (PCE), attributed to their outstanding charge transport, efficient photon trapping, adaptability, and recycling of photons. In particular, incorporating anti-reflective coatings (ARCs) made from wide-bandgap oxides has proven effective in reducing optical losses, with reductions as low as 20 % being reported. Furthermore, the use of carrier-selective contacts in these designs not only eliminates the need for complex doped junctions but also simplifies the fabrication process, further enhancing their performance. Despite these advancements, relatively few studies have explored the integration of both ARCs and carrier-selective contacts in gallium arsenide (GaAs)-based thin-film solar cells. This gap represents a significant opportunity for improving the efficiency and performance of these devices. To address this, we present a GaAs thin-film solar cell incorporating an ARC layer for enhanced light-trapping and optimized photon absorption. In addition, we integrate carrier-selective contacts using titanium dioxide (TiO2) as the electron transport layer and molybdenum oxide (MoO3) as the hole transport layer, ensuring effective charge separation and collection. Our optical analysis demonstrates that, with an optimized ARC thickness, the optical losses in the 380 nm-thick GaAs absorber layer can be limited to 20 %. Moreover, by maintaining a surface recombination velocity (SRV) of 103 cm/s and a carrier lifetime of 10μs, the proposed design achieves an impressive PCE of approximately 23 %. This study highlights the potential of combining ARCs and carrier-selective contacts to push the performance of GaAs thin-film solar cells to new heights, paving the way for more efficient, and cost-effective photovoltaic technologies.

La infraestructura urbana en relación con el derecho al cuidado y al tiempo

The incorporation of a gender perspective in urban design has gained importance since the 1960s and 1970s, focusing on how city layouts can ease caregiving responsibilities and promote gender equality. Feminist urbanism advocates for redesigning cities to prioritize life and social reproduction, emphasizing the need for infrastructure that recognizes the essential role of caregiving and supports the well-being of both caregivers and recipients. This approach highlights the importance of urban policies aimed at reducing the time and effort required for caregiving task.

Research on intelligent building decoration design and user experience based on VR technology

The continuous development of virtual reality (VR) technology has been widely used in all walks of life, bringing unprecedented design possibilities and user experience improvement to the field of architectural decoration design. This paper aims to explore how to use VR technology for intelligent building decoration design and evaluate its impact on user experience through empirical research. Firstly, through the review of relevant literature at home and abroad, the application status and development trend of VR technology in architectural decoration design is sorted out. Then, the design process and implementation scheme based on VR technology are introduced in detail, and the design framework suitable for different application scenarios is constructed. Then, through the design of the user experience evaluation index system, using the combination of qualitative and quantitative methods, the intelligent decoration design scheme based on VR technology is systematically evaluated. Finally, select a typical case for in-depth analysis, show the application effect of VR technology in actual projects, and summarize the feedback of users. The research results show that the intelligent building decoration design based on VR technology can not only improve the design efficiency and quality but also significantly enhance the user's sense of immersion and satisfaction, providing a new perspective and development direction for future architectural design. In addition, this paper also points out the challenges in this field and the possible research directions in the future, which provides a valuable reference for subsequent scholars.

From Traditional Perspectives to Design Innovation

This paper elaborates on the process of digital restoration and redesign of the konghou depicted in the murals of Mogao Grottoes' Cave 465 from a product design perspective. Through an in-depth analysis of the konghou's form, precise application of digital technology, and the clever integration of modern design concepts, this study not only achieves effective protection and inheritance of ancient cultural heritage but also explores innovative applications of traditional cultural elements in contemporary product design. This research is significant for promoting the digital preservation of cultural heritage and fostering the fusion of tradition and modernity.