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Globally, thousands of metallurgical furnaces and process vessels are lined by several types of refractories. The harsh smelting conditions result in continuous refractory wear and deterioration which ultimately causes furnace to reline. For many vessels, the asset management workflow and refractory maintenance is predominantly proactive, and time based. Non-Destructive testing (NDT) methods can be utilized to change the traditional maintenance practices to a predictive and data-based decision-making function. In addition to reducing furnace refractory lining failures and molten metal leaks and run outs, this could potentially reduce the amount of highly toxically contaminated refractory waste disposal globally. In this paper, we review the NDT techniques that are utilized to determine refractory lining thicknesses and conditions in furnaces and process vessels.

This paper investigates the dominant attribute of housing in China for the period 2000 to 2017 with national monthly data. By employing VAR methodology and Chow test, the empirical results suggest that there is a statistically significant structural breakpoint in February 2009, and that the housing boom before 2009 was driven by self-occupation consumption demand while the rise in house prices since 2009 is a monetary phenomenon. These are consistent with the institutional backgrounds, when the first period encountered the end of housing as a welfare and rapid urbanization and the second period experienced the expansionary monetary policy introduced at the end of 2008. This implies that housing is gradually evolving from a necessity to a financial item, and policymakers should adopt policies that address the dominant attributes of housing at different periods.

This special issue of *Imaginations: Journal of Cross-Cultural Image Studies* takes materiality as the critical touchstone for a new comparative literary and media studies. We ask: How can an examination of the modes of inscription across media, platforms, and interfaces draw greater attention to what is often ignored in critical conversations about texts, objects, and bodies; how can such an investigation attend to the vitality of their materiality? Studies of materiality may occur of/in: images, texts, subjects, and objects; philosophical approaches to materiality and interrelationality; cultural considerations of user relationships to media materiality; mediums of scholarship, including critical applications in open-source publishing; critical making and research-creation; and experiences, interactions, and representations of digital spaces. Here, we take materiality to include actants, actors, inscriptions, assemblages, interfaces, objects, bodies, things and the things we think with, as well as their agencies and provocations. The papers reconsider the entanglements between inscription and representation and between inscription and world through theoretical frameworks that show that “matter matters,” using approaches that include code studies, critical making, digital humanities, ecocriticism, feminism, Marxism, media archaeology, new materialism, and phenomenology.

Infrastructures which were constructed in the last century are approaching or have exceeded their design life. It is essential to maintain, repair and rehabilitate existing structures to ensure safety and develop a sensible rehabilitation plan. This paper suggests an inspection program for the condition evaluation of existing structures, particularly for structures that are approaching or exceeding their design/campaign lives. Cracking on concrete bridges is often induced by static and cyclic temperature loading. Throughout the service life of the structure, cracks will initiate, propagate, coalesce and form a greater damaged zone. Depending on the location and severity of the crack network; corrosion of reinforcement, debonding between concrete and reinforcement, and spalling of concrete may occur. The implementation of regular inspection or monitoring of structural condition is an essential component of asset management. Early detection of damaged zones can ease scheduling and reduce the cost of repair, which in turn also allows extension of structural lifespan without compromising safety. Similarly, for industrial properties, asset management and rehabilitation programs are paramount as they can significantly reduce capital expenditures in asset maintenance, if implemented prior to or at the early onset of structural degradation. This paper illustrates the use of NDT techniques for the condition assessment of a prestressed concrete bridge, as well as concrete storage silos. Both of which were either approaching or have exceeded their design campaign life and were needing a proper rehabilitation plan. The assessment included crack movement monitoring, crack depth determination, concrete strength estimation, and the detection of debonding between rebar and concrete.

Implication Statement Medical students often find the transition to clerkship challenging and stressful. The use of virtual reality (VR) technologies such as screen-based learning, 360-video and immersive VR using head-mount-devices is becoming more utilized in medical education. Immersive technologies in particular have been shown to lead to greater enthusiasm and provide higher knowledge gain for students compared to screen-based VR. The University of British Columbia Faculty of Medicine has developed a novel immersive patient experience using VR to enhance the clinical skills program and evaluate student perception regarding its formal integration into curricula. Students reported positive feedback on the experience, and interest in more immersive learning opportunities in future sessions. VR technology has the potential to enhance medical education and provide a safe immersive learning environment to build clinical acumen.

This paper investigates an unprecedented regulation measure in the housing market, reference pricing, with evidence from Shenzhen China. We use a unique panel dataset, obtained through questionnaires to real estate agents, to document the effects of the policy on the housing market. The hypotheses that trading volume and house price decrease are validated by the data, while the one that turnover time increases is not supported. We discuss potential mechanisms that may explain these effects. Meanwhile, we infer estate-level discount factors that are not public information. Based on these factors, we forecast reference prices for the subsequent year. Overall, this paper fills the gap in the field of reference pricing effects on the housing market.

Combustible gas alarm is mainly used to detect the concentration of combustible gas in the environment and issue the corresponding level of alarm which is an effective early warning tool to prevent gas leakage. However, due to the uneven quality of combustible gas alarms sold on the market, there are certain difficulties for the government in market access, testing agencies in quality control, and users in later maintenance. In order to promote the industry of combustible gas alarm to further and improve product quality, this study selected 60 batches of combustible gas alarms from a first-tier city in China and tested them in accordance with the national compulsory standard GB 15322-2019 Combustible Gas Detectors, conducting price and quality analysis of combustible gas alarms from different procurement channels and different product types according to the test results and putting forward solutions and development suggestions for nonconforming projects.

As a new type of digital product, driverless shared cars will become an important part of the intelligent public transportation system. This paper aims to use driverless shared vehicles to carry out a comprehensive digital transformation of transportation, that is, to remotely control the driverless through the man-machine interface, and turn the taxi into a remote-controlled car controlled by a remote center. Compared with existing technology and business models, the technical framework and operational idea of driverless shared cars proposed in this paper have great advantages. It can not only reduce per capita carbon emissions and travel costs, but also promote efficient management of transportation and cities. This study can be also adapted to various countries in the world due to its flexibility. After summarizing and analyzing different driverless and shared car technology schemes, this paper predicts the profitability of cruise taxis after adopting this model, puts forward feasible design schemes, and looks forward to its development prospects all over the world.

Contemporary ceramic artworks break through the restrictions of use value; the creation method is more accessible, the use of materials is more diversified, and the application of plant materials is one of these trends. This paper expounds on the design and application types of plant materials, explores the aesthetic characteristics of flowers, fruits, branches, and leaves of plants, and then takes plant materials and ceramic materials as creative carriers for design and practice research and presents them in 2D or 3D ceramic artworks in figurative or abstract forms, using them as a kind of ceramic language to show the artistic expression of plants. The results of modeling, texture, hollowing and repetition, color experiment, and comprehensive material experiment were successfully determined through design and ceramic craft creation.

Jincheng Cocoon Station, as the earliest and largest township cocoon station in the main area of Zhejiang silk production, has special historical value. Its structural form is a brick-wood hybrid system with brick exterior walls, wooden interior columns, and wooden roof trusses. Its organizational form corresponds to the regional climatic characteristics. The original spatial structure was specifically designed to serve its production functions, such as cocoon drying and stacking. After the end of the operation, an appropriate spatial transformation was needed to achieve the transformation of reuse. This study deduced a reuse plan from the historical value, cultural value, and pratical value of Jincheng Cocoon Station. Then the spatial variables are extracted. After forming a preliminary plan, the green building performance simulation was conducted on the program variables through Design Builder software to measure the rationality of the reuse countermeasures. This article aims to explore the dual protection of heritage value and green building performance in the process of achieving reuse through performance simulation.

This study compares the implementation of traditional methods (linear regression) and artificial neural network (ANN) algorithms in sensitivity analysis for residential building retrofitting strategies. The impact of building retrofitting strategies, such as wall insulation, roof insulation, glazing types, and shading systems, on the life-cycle carbon emissions (LCCO2) and life-cycle costs (LCC) of a residential building in the severe cold climate of China is investigated. The results demonstrated that the ANN modelling was more accurate and stable than the linear regression method. Through impact factor analysis, it was found that window area and insulation types strongly impact the LCC, while shading, insulation type and insulation thickness strongly influence the LCCO2 in the building. This study validated the feasibility and efficiency of the ANN methodology in sensitivity analysis for residential building retrofitting strategies.

In this paper, the influencing factors of environmental population capacity are categorized into three types: strict constraints, elastic constraints and non-constraints, and the systematic relationship among the three types of factors is explored, from single-factor environmental population capacity model to multifactor environmental population capacity model, and finally to obtain the regional environmental population capacity model. In this paper, we choose to take Hainan Island in China and the island of Ireland, which have similar natural conditions (area, population, etc.), as examples to measure the environmental population capacity based on the island. From the perspective of environmental capacity, this paper explores how to make the global distribution of population settlements more in line with the distribution of environment and resources, and then puts forward more effective and reliable suggestions for the coordinated development of population and economic and social resources and environment.

With the acceleration of urban modernization, the protection and utilization of historical and cultural heritage is facing unprecedented challenges. How to realize the integrated development of the protection and utilization of the ancient city has become a key issue for the sustainable development of a city.As a famous historical and cultural city in China, Qingzhou ancient City bears rich historical information, accumulates profound cultural deposits, and presents distinct regional cultural characteristics.This paper expounds the general situation of cultural resources of Qingzhou ancient city, analyzes the basic problems in the process of protection and utilization of Qingzhou ancient city, and puts forward the ideas, strategies and specific measures of the integration of protection and utilization of the ancient city from the perspective of cultural capital.It provides a new concept, correct thinking and scientific technical method for the protection and utilization of qingzhou ancient city, and has important guiding significance for promoting the sustainable development of qingzhou famous historical and cultural city.

The stability of the landslide behind Yang'erpingfang, Zuopo Village, Luluo Town, Xingtai County is calculated and analyzed using the strength reduction method with MIDAS GTS finite element numerical simulation software, based on the treatment of Zhuwenping landslide in Bai'an Township, Xingtai County.

In the current landscape of global commerce, logistics and supply chain management stand at the forefront of both opportunity and challenge, significantly influenced by the relentless march of globalization and the rapid pace of technological innovation. As companies strive to maintain competitive edges, the intricacies of managing the flow of goods, information, and capital across vast geographic and digital landscapes have become more pronounced than ever. This comprehensive paper delves into the heart of these complexities, dissecting the pivotal aspects of digital transformation, environmental sustainability, and robust resilience within supply chain ecosystems. By weaving together a rich tapestry of contemporary literature and illustrative case studies, this exploration yields a wealth of practical insights. It underscores the necessity of integrating cutting-edge digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), and blockchain to streamline supply chain operations and enhance real-time decisionmaking. Simultaneously, it highlights the growing imperative for sustainability, pushing organizations to implement eco-friendly practices and reduce carbon footprints in a bid to address mounting environmental concerns. Furthermore, the paper addresses the vital issue of supply chain resilience, examining strategies that can enable businesses to withstand disruptive events and rebound from challenges with agility and minimal impact. Within these discussions, the document underscores innovative strategies capable of elevating logistics and supply chain efficiency, advancing green initiatives, and ensuring that these complex networks can adapt and thrive amidst an ever-shifting global business milieu. By meticulously analyzing the intersection of these critical factors, the study presents a blueprint for navigating the intricate web of modern-day logistics and supply chain dynamics, offering guidance for practitioners aiming to excel within this fast-evolving sector.

Manufacturing time and energy consumption are two important parameters to evaluate the manufacturing process. The main purpose of this study was to analyze the energy consumption and printing time of 3D printed part between hollow and without any hollow structure. The specimen models were designed according to ASTM D368-IV standards and printed using a 3D printer device. During the printing process, the wall thickness of specimen was varied into three different types, 0.4 mm; 0.8 mm and 0.12 mm. Furthermore, the cavity was filled by polymer resin as main material for strengthening the specimen. Time and energy consumption of manufacturing process was recorded. In addition, the strength of specimens was observed using universal tensile test machine. The results showed that the highest manufacturing speed was occurred on the specimen that had wall thickness of 0.4 mm. Besides that, its parameter had a lowest energy consumption than specimen that had wall thickness 0.12 mm. The wall thickness showed the significant parameter to reduce the energy consumption, printing speed and material usage..

In this short essay I set out some considerations about the job in the medium-term period. The contemporary context is characterized by the impact of technological innovations and economic and financial crises. The pandemic has brought out the concrete aspects of the interconnectedness of globalization. Some models of consumption are emerging in relation to the growing awareness of climate change.

This essay presents my interpretation of the production and circulation of memes as a parody of the Italian political and media discourse during the pandemic. The term meme and the viral circulation of visual and audiovisual messages can, in my opinion, be interpreted in the light of Richard Dawkins, Luigi Luca Cavalli Sforza and Dan Sperber’s works. They are cultural replicators with a viral circulation, capable of “settling” among the cultural meanings present in society. In this case, memes have a great diffusion capacity through networks of friends, relatives, colleagues etc., supported by social media (WhatsApp, Facebook). These memes can be elaborated by specific authors, exceptionally gifted with respect to technique and creativity, then uploaded and circulated very easily through social media; or they can be elaborated by a multitude of creatives with more “do-it-yourself” techniques and a more regional and local basis, judging from the characteristics of the images and the language used. My interpretation refers to the “subversive”, critical and oppositional dimension of parody as an elaboration of contemporary mass culture of the dominant political, cultural and media messages. Following Daniel Miller’s interpretation and the proposal of the curators of the monographic issue of the journal “Antropologia”, it is clear that not only the social use of technologies changes social media, but also that social media are inserted into social networks supporting and strengthening them and creating new ones, making them an area of relationship characterized by continuous and instant interaction.

This paper discusses the post requirements and system architecture of the dual-tutor teaching mode constructed by using virtual human system in helicopter equipment teaching under the environment of artificial intelligence. Taking theoretical course teaching as an example, the collaborative process of dualtutor mode is expounded.

For science and engineering students, how to carry out curriculum ideological and political education is a very important research topic. The course makes full use of the rich red cultural resources of the Soviet Area, excavates ideological and political materials from history, integrates the Spirit of the Soviet Area into the whole process of professional course learning, faces the challenge of future scientific and technological development to the cultivation of professional talents, advocates the craftsmanship spirit, explores the practice of cultivating innovative ability, and cultivates the red and professional social director builders and successors through the "two combination and double promotion" curriculum reformation.

The strength of 3D printed part is an important factor that must be considered before carrying out a product design. Moreover, manufacturing speed was also as key of successfully product design. The main focus of this study was to analyze the strength of 3D printed part and reduce the time manufacturing processing for getting the optimal design. The specimen models were designed according to ASTM D368-IV standards and printed using a 3D printer device. During the printing process, the infill density was varied into two different types, 0% and 100%. Meanwhile the main material used as a base material was Polylactic Acid or PLA which has an initial diameter of 1.75 mm. Furthermore, time consumption of manufacturing process was recorded, whereas the strength of specimens was observed using universal tensile test machine. The specimen model, especially for infill density 0% were added the resin polymer before carry out the tensile test. The results showed that the highest [1]tensile strength was occurred on the specimen that had the infill density of 100% without any addition of resin polymer. Besides that, the time consumption (infill density 0%) was showed significantly reduce than specimen that had infill density of 100%

Since the government officially declared the end of the pandemic in Indonesia, face-to-face trading activities between buyers and traders have increased again, especially in West Sumatra province. Some traders, in addition to running their businesses offline, also continue to utilize social media as they did during the pandemic, especially in marketing activities. Therefore, the purpose of this research is to assist handicraft merchants in particular, in empowering social commerce, by understanding the behavior of recommendation systems (RS) which are specialized software for filtering in social commerce. The application of the right method determines the performance of an RS. In this discussion, the method used in RS for filtering is content-based. By applying this method, it can produce an RS that is right to support the marketing techniques of handicraft shops online, by adding complete, detailed, and uniform descriptions to each promotional photo or graphic model.

The COVID-19 pandemic has an impact on the economy of Padang City. To revive the economy, especially in the tourism sector, the government is trying to improve services to visitors so that the number of tourist visits increases again. As one of the efforts is to find out the opinion of tourists on the beach tourism area visited. This research aims to assist the Padang City government in knowing the positive or negative responses of tourists through the sentiment analysis process to the beach tourism they visit so that The Government of Padang City can determine the policies to be taken in connection with the reviews given by beach tourism visitors. By using reviews on Google Maps on the attractions of Air Manis Beach, Padang Beach, Pasir Jambak Beach, Nirwana Beach, and Pasir Putih Beach, clustering is carried out with the Naive Bayes classification algorithm. Based on the results of the analysis that has been done, 2 of the 5 beaches get negative reviews, namely Pasir Jambak Beach and Pasir Putih Beach which get negative values of 0.550 and 0.650.

This paper proposes an innovative design education model that effectively combines learning science theory, new technology, and new media to address the problems of serious homogenisation and disconnection from social requirements in design education. The model is based on the Chinese context, in accordance with the three principles of innovative design education summarized in Tim Brown’s design thinking, and utilizing the learning science theory, new technology, and new media. Analyzing the relationship between learning science theory, new technology, and new media, providing a reference for the full application of new technology and new media in Chinese modern design education, and promoting the application of learning science theory in Chinese modern design education constitute the construction of the model.

The impact of natural environment change on biological pharmaceutical companies has become a growing concern in recent years. In response, re-searchers have employed various models to analyze the relationship between natural environment changes and the financial performance of these companies. This paper will use the Capital Asset Pricing Model (CAPM) and Fama-French Three-Factor Model (FF3F) to estimate the impact of natural environment changes on biological pharmaceutical companies. Using secondary data from past studies, this paper conducts a literature review to analyze the impact of natural environmental changes on these companies, particularly in terms of their risk and return tradeoffs. Results from previous research indicate that both CAPM and FF3F models can be used to measure the risk and return trade-offs in the context of natural environmental changes. The CAPM model has been used to identify factors such as natural disasters and climate change that influence the risk of these companies, while the FF3F model has been used to measure the effect of regulatory changes on their stock prices. Overall, this paper brings together previous insights and findings, aiming to provide a deeper understanding of the impact of natural environment change on biological pharmaceutical companies. It concludes that further research is needed to investigate other factors that can influence the performance of these companies in the face of natural environmental changes.

After the ultra-low emission(ULE) transformation, the emissions of ULE coal-fired power plants in China have been reduced greatly. However, considering the total amount of emissions, coal-fired power plants are still among the largest sources. And there may still have great potential in the removal of colored plume and some unconventional pollutants such as condensable particles matter (CPM) and sulfur trioxide (sulfuric acid mist). Though in cold days, hazes occur frequently. Besides, low-temperature condensation is conducive to the condensation and removal of vapor, CPM and sulfur trioxide in the flue gas. In this paper, a new method of low-temperature flue gas emission is proposed for coal-fired power plants in severe cold areas. The flue gas is cooled by ambient air, and discharged without reheating, and remarkable effects can be achieved in removing the pollutants. The technical feasibility and environmental compliance of applying this method to a power plant in cold weather have been analyzed. The results show that low-temperature emission of flue gas for coal-fired power plants in winter is effective in water-saving, emission reduction of pollutants and elimination of wet plume.

Climate change triggered by the increasing amount of CO2 released into the atmosphere has become a global priority. Direct Air Capture (DAC) of CO2 has been regarded as one of the disruptive technologies to realize negative emission. Among the multiple strategies employed, adsorption on solid amines is a promising choice owing to its low energy requirements. Since the water vapor ubiquitously exists in ambient air, understanding the role it plays in DAC by the amine-functionalized solid sorbents is of vital importance. Due to the diversity in amine and support features, both promotion and deterioration of water impact on CO2 adsorption were revealed. Herein we present a multifaceted review of the trends and innovations in DAC by solid amines under humid conditions. The effect of water was discussed over four groups of materials, based on the support categories, i.e., (a) mesoporous silica, (b) mesoporous alumina, (c) mesoporous carbon and other inorganic supports, and (d) cellulose and other organic supports.

Biefeld-Brown effect (B-B effect for short) refers to the phenomenon that when a high voltage is applied to an asymmetric capacitor, the capacitor generates an additional force. In order to explore the influencing factors and series characteristics of the B-B effect of wire-plate asymmetric capacitors in atmospheric pressure, a set of experimental devices with adjustable parameters was designed. Based on this device, the effects of different wire-plate lengths, power supply types and electrode application modes on the thrust and efficiency of B-B effect are studied. At the same time, the optimal parameters are selected to study the series characteristics. The research shows that the thrust generated by B-B effect is directly proportional to the length of the wire plate. The thrust generated by applying positive emission voltage to the copper wire and grounding the aluminum plate is the largest, and the two-stage series connection can achieve multiple increase of the thrust, with better performance.

Thermally comfortable mircoclimate is essential for creating high-quality outdoor spaces that attract citizens and boost city vitality. Previous design efforts to improve outdoor thermal comfort were usually conducted at large scales, such as city scale, neighborhood scale, urban block scale. Few researchers focused on the building scale. This study proposes an optimization framework based on genetic algorithm to determine the building shape, orientation, and location during early design stage that reduces the overall thermal stress in the target outdoor space. Solar radiation and wind fields were simulated to obtain the outdoor Universal Thermal Climate Index (UTCI) as the performance indicator. The simulations were validated against the experimental data. This investigation applied the proposed optimization framework to design the outdoor space for a kindergarten under the climate of Tianjin and Shanghai, respectively. The results showed that optimization reduced the overall thermal stress. The most favourable kindergarten forms were suggested through optimization. This study supplements the inverse design of outdoor thermal comfort at building scale and provides suggestions to create comfortable urban outdoor spaces.

Combined with the operation characteristics of photovoltaic power generation system, the mathematical model and simulation model are established, and the control strategy of bipolar inverter with wide output characteristics and the maximum power point tracking (MPPT) control method of conductance increment method are designed. The maximum power output and stable operation of distributed photovoltaic power generation system are realized. The simulation results show that the photovoltaic power generation system model established in this paper can effectively reflect the characteristics of distributed photovoltaic power generation and MPPT control. With the change of lighting conditions, the distributed photovoltaic power generation system can accurately adjust the system output, which is of great significance for the research and operation of distributed photovoltaic power generation system.

In terms of solving the financing difficulties, supply chain financing plays a role in lowering the financing threshold of upstream and downstream enterprises, breaking the bottleneck of upstream and downstream financing, and improving the competitiveness of core enterprises and supporting enterprises, which is of great significance in accelerating the capital operation and making commercial transactions more efficient and convenient. This article takes the supervision game in game theory research methods, to supply chain financing risk supervision game model is established, from the third party logistics enterprises to participate in, the third party logistics enterprise and financing enterprises union and government security three aspects analyzes the different roles of regulatory policy, and for financing enterprise, financial institution, third party logistics enterprise and government,. The conclusion shows that each party should enhance its own credibility and ability, and increase the opportunities for communication and cooperation with other parties, so as to promote the long-term operation and development of supply chain financing.

The surge of face mask waste in response to the global pandemic has proven to be a liability to the environment. Microfibers from plastic constituents of the face mask would cause microplastic pollution in the water bodies. Fortunately, these waste could be converted into renewable source of energy via thermochemical method, i.e. pyrolysis. However, the studies on the thermal decomposition of face masks and their kinetic mechanisms are not well-established. The aim of this paper focuses on the prospects of pyrolysis at low to high heating rates ranging from 10 °C min-1 to 100 °C min-1, to cater for the slow pyrolysis and fast pyrolysis modes. Following this, the thermal degradation behaviour of the face mask waste was studied via thermogravimetric analysis which determined the single peak temperature degradation range at 218 to 424 °C at 10 °C min-1, and maximum degradation rate was determined at 172.51 wt.% min-1 at 520 °C, with heating rate of 100 °C min-1. Flynn-Wall-Ozawa (FWO) and Starink method was employed to determine the average activation energy and average pre-exponential factor of the pyrolysis process of face mask waste. i.e., 41.31 kJ mol-1 and 0.9965, 10.43 kJ mol-1 and 0.9901 for FWO and Starink method, respectively.

This study examines the influence of board capital on firm performance. Annual reports are used as the main sources for data collection. This study finds that firm performance decreases with gender diversity. Next, the interlocking directorate is not associated with firm performance. The findings would be useful to Malaysian policy-makers in deliberating the board’s role as a governance mechanism in strengthening the board structure. The results suggest selecting a director with relevant knowledge and perspective rather than simply meeting the number of board seats.

Power load is an important part of power system, and power load forecasting has an important impact on power system analysis, design and control. With the development of smart micro grid, load forecasting has gradually become an important module in the energy management system, It is “source, network, load and storage” “An important link in energy flow matching. The staged combined demand forecasting model of power grid based on neural network and polynomial regression is adopted, and judgment conditions are added to the neural network. If the training sample data does not converge in the neural network training process, the neural network forecasting is terminated, and the data is automatically transferred to the polynomial regression model to obtain the forecasting results. This method can be initially used for annual and monthly load forecasting. It is an intelligent micro grid The planning of has laid a certain technical foundation.

In this paper, we provide the formal definition about the so called “Ideological Curriculum (IC)” in the universities of China, namely, integrating ideological education in the professional courses and curriculum. The significance, current trend and situation of IC are introduced. The different of ideological education between international and local students are analysed. With a specific case, we further introduce how to integrate the ideological education into a professional course for international students in China.

Constructing navigation condition of oil supply vessels is of vital importance to both the research on the main engine and the safety of navigation. This paper carries out in-depth research and analysis based on the half-year shipping data derived from Hai Gong You 31, the oil supply vessel of Shanghai Chimbusco Marine Bunker Co., Ltd. After classifying 3946 pieces of shipping data, and there are 119 valid sequences. As for 13 characteristic parameters ,which include time, distance, average acceleration ,etc., they are eigenvalues of kinematics sequences ,and there are principal component analysis and contribution rate analysis relevant to them. Instead of original eigenvalues, three principal components whose contribution ratios are the highest and the accumulative one is around 85% are selected to be analyzed then. By means of between-groups linkage, this paper calculates the distance among clusters ,and the nearest two clusters are regarded as a new cluster. Afterward, calculations and combinations are made over and over till there is only one cluster. Eventually, the navigation condition of oil supply vessels is successfully formed, that is the one with a total length of 9240s.

In this article I propose a reading of soundscape studies along three dimensions: the relevance of the soundscape in the historical context, the transformations of soundscapes in the twentieth century, the soundscape of sub-professional musical cultures. Beginning from R.M. Schafer’s (1977) and S. Feld’s (2009) researches, I show that studies concerning soundscapes have revealed institutional and political relevance of sound. In addition, I show how soundscape has changed in relation to broader social, economic and technological developments during the twentieth century. At last, I show how the city represents a favourable environment for production and circulation of new cultural forms, that become emblematic of cities sound.