Great Room Research Articles

Nanoporous Heterojunction Photocatalysts with Engineered Interfacial Sites for Efficient Photocatalytic Nitrogen Fixation.

Photocatalytic N2 reduction reaction (PNRR) offers a promising strategy for sustainable production of ammonia (NH3). However, the reported photocatalysts suffer from low efficiency with great room to improve regarding the charge carrier utilization and active site engineering. Herein, a porous and chemically bonded heterojunction photocatalyst is developed for efficient PNRR to NH3 production via hybridization of two semiconducting metal-organic frameworks (MOFs), MIL-125-NH2 (MIL=Material Institute Lavoisier) and Co-HHTP (HHTP=2,3,6,7,10,11-hexahydroxytripehenylene). Experimental and theoretical results demonstrate the formation of Ti-O-Co chemical bonds at the interface, which not only serve as atomic pathway for S-scheme charge transfer, but also provide electron-deficient Co centers for improving N2 chemisorption/activation capability and restricting competitive hydrogen evolution. Moreover, the nanoporous structure allows the transportation of reactants to the interfacial active sites at heterojunction, enabling the efficient utilization of charge carriers. Consequently, the rationally designed MOF-based heterojunction exhibits remarkable PNRR performance with an NH3 production rate of 2.1 mmol g-1 h-1, an apparent quantum yield (AQY) value of 16.2% at 365 nm and a solar-to-chemical conversion (SCC) efficiency of 0.28%, superior to most reported PNRR photocatalysts. Our work provides new insights into the design principles of high-performance photocatalysts.

Renewable energy resource management using an integrated robust decision making model under entropy and similarity measures of fuzzy hypersoft set

The demand for renewable energy has significantly increased over the last decade with increased attention to the preservation of the environment and sustainable, optimal resource management. As traditional sources of energy production are depleting at an alarming rate and causing long-lasting environmental damage, it is essential to explore green and cost-effective methodologies for meeting energy demand. With each country having different geographical, political, social, and natural factors, the problem arises of which renewable energy should be utilized for optimal resource management. This multi-criteria decision making (MCDM) challenge is tackled by applying a dynamic fuzzy hypersoft set-based Method for the evaluation of currently deployed Renewable Energy systems and providing a decision support system for the installation of new ones based on the factors mentioned above for Turkey. As the installation of new renewable energy projects and the evaluation of old ones is significantly influenced by human judgment, it leaves great room for uncertainty primarily because of the psychological factors of the expert. The novel concept of Fuzzy Hypersoft Sets (FHSs) and their Entropy (EN) and TOPSIS-based operations are first discussed with reference to the problem at hand. The presented structure is superior to the ones in the literature by allowing access to data parameters as sub-parametric values while utilizing the versatility of Fuzzy structures to deal with uncertainty. The technique has great potential to serve as a potential decision support system in any setting. For now, hypothetical expert ratings are used to illustrate the working of the dynamic structure along with a sensitivity analysis to investigate the primary criterion weights in sorting. The evaluation of currently deployed renewable energy systems using our methodology revealed an average improvement in system performance compared to traditional methods. Furthermore, the decision support system for the installation of new projects based on geographical, political, social, and natural factors exhibited a potential increase in overall system efficiency. These numeric outcomes highlight the effectiveness and practical applicability of our approach in optimizing resource management and fostering sustainable energy practices.

Bibliotekarji proti Plečniku

Purpose: The article presents the role of librarians in the construction of the first pur­pose-built independent library building in Slovenia. The librarians drew up guidelines for the construction of the building, actively participated in the planning and drew at­tention to non-functional solutions. The Plečnik building, which was built for the uni­versity library of the University of Ljubljana, today houses its successor, the National and University Library. Methodology/approach: The article is based on archival material that documents the construction of the university library and is stored in the archive and in the Manuscript Collection of the National and University Library and in the Historical Archive and Mu­seum of the University of Ljubljana. It covers the period from 1930 to 1944. Results: Archival material shows that librarians were aware of contemporary architec­tural trends in the construction of library buildings, but their efforts for functional solutions were not taken into account. Plečnik’s plan was criticized mainly because of the wide corridors and staircases, the inadequate lighting of the Great Reading Room, the excessively long transport routes for the material and the poor security of the ware­houses, which are accessed from the staircases, which are open to users. Some archi­tects have also pointed out similar shortcomings of the building. Research limitation: The archival material consulted is limited to the National and Uni­versity Library and the Historical Archives and Museum of the University of Ljubljana. Originality/practical implications: The article illuminates the issue of construction of representative buildings.

Enhanced Efficiency and Stability of Sky Blue Perovskite Light-Emitting Diodes via Introducing Lead Acetate.

All-inorganic metal halide perovskite is promising for highly efficient and thermally stable perovskite light-emitting diodes (PeLEDs). However, there is still great room for improvement in the film quality, including low coverage and high trap density, which play a vital role in achieving high-efficiency PeLEDs. In this work, lead acetate (Pb(Ac)2) was introduced into the perovskite precursor solution as an additive. Experimental results show that perovskite films deposited from a one-step anti-solvent free solution process with increased surface coverage and reduced trap density were obtained, leading to enhanced photoluminescence (PL) intensity. More than that, the valence band maximum (VBM) of perovskite films was reduced, bringing about a better energy level matching the work function of the hole-injection layer (HIL) poly (3,4-ethylenedioxythiophene)-poly (styrene sulfonate) (PEDOT: PSS), which is facilitated for the hole injection, leading to a decrease in the turn-on voltage (Vth) of PeLEDs from 3.4 V for the control device to 2.6 V. Finally, the external quantum efficiency (EQE) of the sky blue PeLEDs (at 484 nm) increased from 0.09% to 0.66%. The principles of Pb(Ac)2 were thoroughly investigated by using X-ray photoelectron spectroscopy (XPS) and Fourier transform infrared spectroscopy (FTIR). This work provides a simple and effective strategy for improving the morphology of perovskite and therefore the performance of PeLEDs.

The Integration of Dunhuang Murals from The Tang Dynasty and Modern Clothing Design

Dunhuang murals are an artistic treasure of world cultural heritage. Dunhuang murals were in their heyday during the Tang Dynasty. The murals of this period were extremely artistic and representative. Integrating them with modern clothing design has great cultural significance and room for development. This article explores the integration of Dunhuang murals in the Tang Dynasty and modern clothing design, introduces the brief history and development of Dunhuang murals in the Tang Dynasty, summarizes the design principles and practices for research, and provides theoretical basis and design reference for other related theme costume designs. In inheriting ancient Chinese At the same time, it injects more cultural atmosphere and artistic charm into modern clothing design to meet people's needs for diversified and personalized clothing. It also makes a positive contribution to the inheritance and promotion of Dunhuang culture.

Evaluation and diagnosis for the pedestrian quality of service in urban riverfront streets

Leisure walking can improve the physical and mental health of urban people. Especially, riverfront streets have a comfortable blue space that can bring higher pedestrian benefits. Improving the pedestrian quality of service (PQOS) of riverfront streets is crucial. However, the needs of citizens for walking and daily activities are rarely considered in the riverfront streets. This paper established the evaluation system for PQOS of riverfront streets from five aspects of accessibility, attractiveness, comfort, safety and pleasure, and realized the collection and calculation of indicators through space syntax, semantic segmentation and other methods. Taking Jilin Riverfront Streets as examples, the PQOS was evaluated. Through the establishment of the coordinate system, the streets were divided into four categories: Advantage, Maintain, Opportunity and Improvement streets. The renewal strategies were proposed. The results showed that the PQOS have great room for improvement. The natural openness ratio and blue visual index of the improvement streets need to be enhanced. Most opportunity streets were located in the residential, industrial and biophilic districts. The number and types of service facilities need to be increased. The evaluation method can assist the designers to update the PQOS of riverfront streets, and provide data support for that.

Graphitic Carbon Nitride as a Metal‐Free Heterogeneous Semiconductor Photocatalyst for Fluoroalkylation Reactions

AbstractThe increasing use of fluorine‐containing bioactive molecules necessitates efficient strategies for fluorinated group installation. Despite the impressive development of photoinduced radical fluoroalkylation as a powerful tool for introducing fluorine, the persistent issues, including the recyclability and reaction specificity of homogeneous photocatalysts, still leave great room for further advancement in a sustainable and general fashion. Herein, we report a conceptually different approach toward multiple types of fluoroalkylations by using recoverable and versatile graphitic carbon nitride (g‐CN) nanosheets as a heterogeneous photocatalyst. This photocatalytic system enables diverse intermolecular fluoroalkylations of alkenes with fluoroalkanesulfinates and intramolecular fluoroalkyl migrations of alkenyl triflates. Detailed characterizations and mechanism studies substantiate the stability of this organic semiconductor and the crucial role of photogenerated electron‐hole pairs.

Data-driven discovery of stochastic dynamical systems with [formula omitted]-stable Lévy noise based on residual networks

Identifying evolution laws of complex systems from massive data has been a challenging issue in the cross field of stochastic dynamics and data science with greater and greater concern in recent years. So far, significant progress has been made in dealing with cases where differential equations are driven by Gaussian noise, yet work for non-Gaussian cases remains great room for growth. In this paper, a data-driven approach based on deep residual networks (ResNets) is proposed to extract governing laws of stochastic dynamical systems perturbed by non-Gaussian α-stable Lévy noise. Specifically, we firstly separate the non-Gaussian noise from drift term for subsequent extraction according to the fundamental theory of differential equations. For the noise part, the Lévy jump measure and noise intensity are estimated via some properties of α-stable distribution. Next the residual network is employed to identify drift. Numerical results of systems of 1 to 3 dimensions are given to demonstrate the feasibility of this method. It is necessary to emphasize here that the contribution of this method is mainly manifested in its effective resolution of the identification for complex non-Gaussian stochastic dynamical systems via cutting-edge machine learning techniques.

Isosurface extraction for piecewise-linear reconstruction of complex interfaces on arbitrary grids

In the field of volume of fluid type schemes, there is still great room for improvement in the accuracy of the methods used to reconstruct interfaces, especially when highly complex interfaces are involved. Isosurface extraction is exploited in a series of piecewise-linear interface reconstruction methods to simulate complex interface dynamic problems on arbitrary grids, and high-order surface patches are applied to achieve significantly improved accuracy. Isosurface extraction is also used to choose a convenient set of neighboring cells, hereafter called reconstruction stencil, for the reconstruction of highly curved interfaces when using well-known linearity-preserving methods. The relevance of the proper selection of the reconstruction stencil is highlighted, showing that the convergence of formal second-order methods can deteriorate when inappropriate reconstruction stencils are used. The accuracy, computational efficiency and performance of the implemented piecewise-linear interface reconstruction methods coupled with different reconstruction stencils are thoroughly analyzed for the reconstruction of interfaces in static conditions and dynamic simulations that produce highly deformed interfaces by using an accurate unsplit geometric advection method and imposing prescribed velocity fields.

Comparison of Different Models to Simulate Forest Fire Spread: A Case Study

With the development of computer technology, forest fire spread simulation using computers has gradually developed. According to the existing research on forest fire spread, the models established in various countries have typical regional characteristics. A fire spread model established in a specific region is only suitable for the local area, and there is still a great deal of uncertainty as to whether or not the established model is suitable for fire spread simulation for the same fuel in other regions. Although many fire spread models have been established, the fuel characteristics applicable to each model, such as the fuel loading, fuel moisture content, combustibility, etc., are not similar. It is necessary to evaluate the applicability of different fuel characteristics to different fire spread models. We combined ground investigation, historical data collection, model improvements, and statistical analysis to establish a multi-model forest fire spread simulation method (FIRER) that shows the burning time, perimeter, burning area, overlap area, and spread rate of fire sites. This method is a large-scale, high-resolution fire growth model based on fire spread in eight directions on a regular 30 m grid. This method could use any one of four different physical models (McArthur, Rothermel, FBP, and Wang Zhengfei (China)) for fire behavior. This method has an option to represent fire breaks from roads, rivers, and fire suppression. We can evaluate which model is more suitable in a specific area. This method was tested on a single historical lightning fire in the Daxing’an Mountains. Different scenarios were tested and compared: using each of the four fire behavior models, with fire breaks on or off, and with a single or suspected double fire ignition location of the historical fire. The results show that the Rothermel model is the best model in the simulation of the Hanma lightning fire; the overlap area is 5694.4 hm2. Meanwhile, the real fire area in FIRER is 5800.9 hm2; both the Kappa and Sørensen values exceed 0.8, providing high accuracy in fire spread simulations. FIRER performs well in the automatic identification of fire break zones and multiple ignited points. Compared with FARSITE, FIRER performs well in predicting accuracy. Compared with BehavePlus, FIRER also has advantages in simulating large-scale fire spread. However, the complex data preparation stage of FIRER means that FIRER still has great room for improvement. This research provides a practical basis for the comparison of the practicability and applicability of various fire spread models and provides more effective practical tools and a scientific basis for decision-making and the management of fighting forest fires.

Unveiling spatial disparities in basic medical and health services: insights from China’s provincial analysis

Based on the panel data of 31 provinces (municipalities and autonomous regions) in China from 2012 to 2019, this paper constructs the evaluation index system of basic medical and health services in China from seven dimensions: medical and health facilities, health expenditure, medical services, traditional Chinese medicine hospital services, maternal and child health care, people’s health and medical security, disease control and public health. The entropy method was used to measure the level of basic medical and health services in China, and its spatial differences and convergence characteristics were further investigated. In this study, we employ the entropy weight method, σ convergence, and β convergence as our primary methodologies. The entropy weight method is used to evaluate the variability of each indicator, determine the weights of indicators, and quantify the information content of the data. σ convergence illustrates the process by which the variance of a sample decreases over time. β convergence refers to the gradual approach of variables within an economic system towards their long-term equilibrium level over time. The results show that: (1) The scores of basic medical and health services in China’s four major regions (including Northeast, East, Central and West) remain in a relatively stable state, with small fluctuations and great room for improvement; (2) There are significant regional differences in the level of basic medical and health services in China, and the intra-regional differences are much greater than the inter-regional differences; (3) There is no significant σ convergence observed in China and its four major regions; however, there is a notable presence of β convergence.

A Comparative Study of ABRSM and the Chinese Piano Examination

Music education has become an indispensable part of aesthetic education, and social art graded examination are a regular form of evaluating music learning. ABRSM is recognized as one of the most influential music grading bodies in the world. The Chinese graded music examination have greatly boosted the level of music in Chinese society. This paper conducts a comparative study between ABRSM and Chinese piano graded examination from the three aspects of examination categories and subjects, differences in textbook song selection, and differences in evaluation criteria. It has found that the two have a certain complementarity, with each advantages and disadvantages by reflecting the different concepts and standards of social piano education between China and the UK. China's music grading market still has great room and potential for development. ABRSM offers new ideas that can improve China’s current piano exam system and teaching methods, paving the way for a more effective piano examination system.

Recent Progress in Covalent Organic Frameworks for Cathode Materials.

Covalent organic frameworks (COFs) are constructed from small organic molecules through reversible covalent bonds, and are therefore considered a special type of polymer. Small organic molecules are divided into nodes and connectors based on their roles in the COF's structure. The connector generally forms reversible covalent bonds with the node through two reactive end groups. The adjustment of the length of the connector facilitates the adjustment of pore size. Due to the diversity of organic small molecules and reversible covalent bonds, COFs have formed a large family since their synthesis in 2005. Among them, a type of COF containing redox active groups such as -C=O-, -C=N-, and -N=N- has received widespread attention in the field of energy storage. The ordered crystal structure of COFs ensures the ordered arrangement and consistent size of pores, which is conducive to the formation of unobstructed ion channels, giving these COFs a high-rate performance and a long cycle life. The voltage and specific capacity jointly determine the energy density of cathode materials. For the COFs' cathode materials, the voltage plateau of their active sites' VS metallic lithium is mostly between 2 and 3 V, which has great room for improvement. However, there is currently no feasible strategy for this. Therefore, previous studies mainly improved the theoretical specific capacity of the COFs' cathode materials by increasing the number of active sites. We have summarized the progress in the research on these types of COFs in recent years and found that the redox active functional groups of these COFs can be divided into six subcategories. According to the different active functional groups, these COFs are also divided into six subcategories. Here, we summarize the structure, synthesis unit, specific surface area, specific capacity, and voltage range of these cathode COFs.

A Study of Methods for Predicting and Controlling Blood Glucose in Diabetic Patients

With the development of society and the improvement of people's living standard, diabetes has gradually become one of the world public health problems that endanger human life safety and affect the development of global economy. Type 1 diabetes is a chronic metabolic disorder that prevents the pancreas from producing insulin and requires lifelong treatment with daily insulin injections to prevent high blood sugar. The lack of insulin leads to the continuous high level of blood sugar in patients. The most important thing for patients is to monitor blood sugar changes and control blood sugar within the normal range. In this paper, a systematic literature search is carried out to study these two aspects, and key information such as the learning model adopted in the literature, the main results, the development of relevant technologies, and the limitations are summarized. From the perspective of glucose-insulin prediction model, due to the complex structure of physiological model, many parameters and difficult to identify, most of the modeling methods are data-driven. There is a great room for improvement in the research on how to mine and utilize existing models to effectively establish accurate glucose prediction models for different objects. From the perspective of control theory, after insulin injection, there is a certain delay in the reduction of blood glucose concentration, and the onset time is different depending on the injection site. The rapid development of deep learning and the increase in available data offer the possibility of addressing these challenges in the near future. When designing closed-loop glucose algorithms, consider using a variety of approaches to establish a personalized glucose control algorithm for each diabetic patient.

Dissolved organic nitrogen is a key to improving the biological treatment potential of landfill leachate

Biological treatment is one of the most promising efficient, low-carbon and affordable approaches for the treatment of recalcitrantly degradable wastewater, such as landfill leachate. However, even the macroscopic molecular level analysis of dissolved organic matter (DOM) is limiting to the enhancement of biological treatment efficacy, and there is an urgent need for deeper exploration of DOM to gain insights into the key constraining substances. In the present study targeting at piercing leachate organic at molecular level, nitrogen-containing dissolved organic matter (DOMN) was identified to be the bottleneck that govern the biotreatment potential. The conclusion was made based on two series of experiments that compared the same anoxic-aerobic membrane bioreactor process (A process) operated stably at different regions, and compared with C process that coupling A process with a circulation aeration membrane bioreactor to improve aeration efficiency. The results confirmed that the relative abundance of DOMN was absolutely dominant among the three categories of DOM in all biologically treated samples, contributing to 60.36 %–65.81 % in removed-DOM, 60.33 %–70.95 % in refractory-DOM and 63.14 %–71.36 % in derived-DOM. Specifically, the high latitude A process had much lower DOMN removal rate than the low latitude A process (p < 0.05) and much higher refractory and derivatization rates than the low latitude A process (p < 0.05). DOM had similar results. No statistically significant differences were observed in the proportion of the three categories of DOM (DOMN), the elements composition, and the subcategory composition of the C process compared to the A process, in which the DOM (DOMN) derivation rate of NEC1-C (31.92 % and 33.41 %) was much higher than that of NEC1-A (20.88 % and 22.19 %). However, the AIwa and AImodwa of the derived-DOM (DOMN) were significantly higher in the C process than in the A process, which implied that excessive aeration did not enhance the biological treatment potential of the A process, but instead led to the proliferation of microorganisms and the secretion of extracellular polymer substances, which resulted in the derivation of more complex compounds. The results of the correlation analysis indicated that there were some regional differences in the molecular information of DOMN driven by climate temperature. In addition, it was worth mentioning that the nominal oxidation state of carbon (NOSCwa) of derived-DOMN in different regions of A process was noticeably higher than the corresponding DOM (p < 0.0001), implying that the derived-DOMN were still highly biodegradable, in other words, there was still great room for improving the biological treatment potential of landfill leachate. The present study provided a deeper insight and analysis of landfill leachate at the molecular level (DOMN) through multiple practical engineering cases, with a view to providing a theoretical basis for efficient optimization of biological treatment.

Sustainable Data-Driven Strategies and Active Well-Being: A Case Study

Nowadays the world is characterized by an increasingly aging society. This phenomenon represents a risk for the sustainability of the healthcare system. One of the factors that can accelerate the consequences of the aging process is sedentary behavior. Currently, there is a large availability of wearable smart devices and mobile applications, that can collect data. However, some social and functional problems were observed, therefore we believe that there is great room for improvement (Mincolelli et al., 2018). In addition, the paradigm of the Internet of Things is enabling those applications to share data with other programs and smart devices, which, in turn, can generate an ecosystem of services that can improve the quality of life, not only of the single user, but of many groups of a determined social context. The contribution presents a case study (PLEINAIR project) that focuses specifically on the development of Human-Centered outdoor smart technologies that can adapt themselves to the necessities of people of all ages and abilities in order to encourage them of taking care of their health.

Mechanochemical C-H Arylation and Alkylation of Indoles Using 3 d Transition Metal and Zero-Valent Magnesium.

Although the 3 d transition-metal catalyzed C-H functionalization have been extensively employed to promote the formation of valuable carbon-carbon bonds, the persistent problems, including the use of sensitive Grignard reagents and the rigorous operations (solvent-drying, inert gas protection, metal pre-activation and RMgX addition rate control), still leave great room for further development of sustainable methodologies. Herein, we report a mechanochemical technology toward in-situ preparation of highly sensitive organomagnesium reagents, and thus building two general 3 d transition-metal catalytic platforms that enables regioselective arylation and alkylation of indoles with a wide variety of halides (including those containing post transformable functionalities and heteroaromatic rings). This mechanochemical strategy also brings unique reactivity and high step-economy in producing functionalized N-free indole products.

A review of virtual reality technology

Virtual reality technology (VR) is a computer simulation system that can create and experience virtual worlds. It utilizes computers to generate a simulated environment, allowing users to immerse themselves in the environment. Virtual reality technology has been one of the fastest-developing information technologies in recent years. It, along with multimedia technology and network technology, is known as the three most promising computer technologies. As an emerging science and technology, it has been less than 100 years since its emergence, and there is still great room for development in its theory and practical application. This article focuses on virtual reality technology and its applications, based on existing literature and statistical data. The main content includes its advantages, characteristics, technical composition, development history, and applications in different directions. The development process of virtual reality technology is not long, but it has unique advantages and technologies specifically serving it. It does not require much physical participation and has positive implications in applications such as education, entertainment, and healthcare. Its future direction will be towards replacing real hardware with virtual hardware, becoming more practical, intelligent, and refined.

Cluster Based Pre Scaling Up of Improved Malt Barley Technologies: Evidence from West Shewa Zone, Oromia Region, Ethiopia

Malt barley is a high-opportunity cash crop, with great room for profitable expansion, particularly when connected to growing breweries. With the intention of popularizing advanced malt barley varieties (IBON174/03 and HB-1963) on a large-scale demonstration farming approach, this activity was carried out in West Shewa Zone potential areas to increase production and productivity of malt barley technologies during 2020-2022 production seasons. West Shewa Zone was purposively selected based on agro-ecological zone as the target population for this cluster farming. From the Zone potential areas, three districts were randomly selected including Ambo, Toke kutaye and Elfeta Districts. From each district, 9 kebeles and 144 host farmers participated in this cluster based on their interest and availability of adjacent farm plots. Thus, 9 clusters were formed, and 60 ha of land was covered on improved malt barley technologies. Training was given for stakeholders for 144 farmers, 44 DAs, and 16 agricultural experts who worked in selected districts on barley production and management packages. The study found that the average yield from the IBON174/03 variety was 30qt ha-1, 29qt ha-1, and 28qtha-1 at Toke kutaye, Elfeta and Ambo districts, with an overall mean grain yield of 29qtha-1. The HB-1963 variety yielded 26 qt ha-1, 24 qt ha-1 at Toke kutaye, Elfeta and Ambo districts respectively for an overall grain yield of 25 qt ha-1. Therefore, from the researchers and farmers evaluation both demonstrated malt barley varieties were recommended for the study areas and similar agro-ecologies for further demonstration and dissemination.

Art Conservation and Research Centre

The preservation of cultural heritage is extremely important. Expressions of culture can be passed down in different ways, including artistic expressions, objects, buildings, skills, relics and crafts. It can be difficult to preserve historical artefacts as they can fall into poor condition and finding ways to preserve or restore them is crucial to retaining a culture’s heritage. A team of researchers at the Art Conservation and Research Centre, Cheng Shiu University, Taiwan, is working on projects seeking to restore and preserve cultural relics and artefacts. The team is led by the University’s Vice Chancellor Dr Bo-Wen Huang who is interested in how innovative technologies can be harnessed to meet the Research Centre’s goals. A primary focus for the researchers is on preserving cultural and art assets located in the Asia-Pacific region of the world. Currently, the preservation and development of cultural heritage in this region is limited to the development of humanities and the social sciences but Huang believes it’s important to integrate other domains. He sees great room for improvement in the concept and implementation of cultural assets preservation and restoration in Southeast Asia. The Conservation and Research Centre takes inspiration from Singapore, Malaysia and Hong Kong as they have shown significant improvement in the field of cultural asset preservation. An important area for the team is on promoting international academic exchanges and cooperation, as well as collaborating with local art transportation companies and checking local imported and exported artworks.