Industrial Resources Research Articles

Forecasting Airline Passenger Growth: Comparative Study LSTM VS Prophet VS Neural Prophet

To conduct an exhaustive examination of airline passenger growth prediction methods, this study compares the performance of three distinct strategies: LSTM, Prophet, and Neural Prophet. To forecast passenger volumes accurately, the aviation industry needs robust prediction models due to rising demand. This research evaluates the performance of LSTM, Prophet, and Neural Prophet models in passenger growth forecasting by utilizing historical airline passenger data. A comprehensive examination of these methodologies is conducted via a rigorous comparative analysis, encompassing prediction accuracy, computational efficiency, and adaptability to ever-changing passenger traffic trends. The research methodology consists of various approaches for preprocessing time series data, engineering features, and training models. The findings elucidate the merits and drawbacks of each method, furnishing knowledge regarding their capacity to capture intricate patterns, fluctuations in passenger behavior across seasons, and abrupt shifts. The results of this study enhance comprehension regarding the relative efficacy of LSTM, Prophet, and Neural Prophet in prognosticating the expansion of airline passenger numbers. As a result, professionals and scholars can gain valuable guidance in determining which methodologies are most suitable for precise predictions of forthcoming passenger demand. This comparative study serves as a significant point of reference for enhancing aviation prediction models to optimize the industry's resource allocation, operational planning, and strategic decision-making.

The Impacts of Climate Change on Tourism Operators, Trail Experience and Land Use Management in British Columbia’s Backcountry

Climate change, natural resource industries, and an expanding outdoor tourism sector have recently increased access to sensitive backcountry environments in Western Canada. Trail managers are struggling to manage trail conditions with the mounting effects of smoke, dust, fire, flood, area closures, and beetle outbreaks in their regions. Outdoor recreation trail managers are linking these events and are thinking critically about the history and interconnectedness of land use management decisions in the province of British Columbia (BC). As the effects of climate change continue to challenge both trail managers and sport recreationists, guides and trail associations have been identified as key education facilitators in the development and dissemination of environmental consciousness. Guided by a community-based participatory research approach, this study used personal interviews with trail managers across the province to highlight how a connection with local ecosystems can develop a more robust land ethic for recreational trail user communities in BC.

Balancing conflict and opportunity - spatial planning of shellfish and macroalgae culture systems in a heavily trafficked maritime port

Ocean-based industries like shipping, aquaculture, and wind energy are growing at an unprecedented rate resulting in challenges related to siting and environmental management. As marine aquaculture and other ocean-based industries continue to expand, robust marine spatial planning analyses that reconcile existing ocean uses and integrate pertinent environmental and planning data are critical for identifying compatible locations. In this study, a series of geospatial analyses were used for aquaculture siting within and around a heavily trafficked and highly utilized maritime port in the San Diego Bay area of California, USA. Using a centralized geodatabase representing key aquaculture planning spatial datasets, recommendations for specific areas for aquaculture were developed based on appropriate environmental conditions for candidate shellfish and algae aquaculture species culture systems. Areas that were known constraints were first identified to determine potentially usable areas for shellfish and macroalgae (i.e., seaweed) aquaculture using an exclusion analysis, a type of multi-criteria decision analysis, to eliminate all areas without compatibility. Within the remaining usable area, we further considered shellfish and macroalgae culture system-specific factors within a ‘culture systems analysis’ to determine where different culture systems have potential for success. This analysis provides a foundation of coastal intelligence for guiding the aquaculture industry and natural resource managers towards appropriate siting decisions. This study can serve as a replicable example of aquaculture spatial planning approaches for siting sustainable aquaculture and other blue economy industries.

Research on digital rural landscape garden landscape planning under rural revitalization strategy based on topological data analysis method

Abstract The advancement of rural revitalization strategies underscores the increasing significance of landscape garden construction. This study optimizes scenic road routing within rural garden planning to support these strategies. By refining the topological data analysis method with Particle Swarm Optimization (PSO), we develop a model for rural scenic road routing. The model utilizes selected suitability indexes, organized through factor analysis into four categories: scenic, land, industrial resources, and infrastructure. Applied to a case study (Route Z), the model identifies Route 2 as the most suitable option, scoring 2.933. Our findings offer innovative insights and technical approaches for effectively planning rural scenic roads, contributing to countryside revitalization efforts.

Optimizing Nicotine Extraction and Analysis Method from Tobacco Agrowaste Extract

Tobacco cultivation is prevalent in Indonesia and contributes significantly to the economy. However, it has negative impacts on social, health, and environmental conditions. The tobacco waste generated is classified as pre-harvest and post-harvest waste, which can be utilized to extract nicotine and recycle essential nutrients. Nicotine has various biological activities and potential health benefits. The extraction of nicotine from tobacco waste is a pressing issue to provide a valuable resource for various industries and reduce the environmental harm caused by burning tobacco waste. The study optimized the HPLC conditions for the detection of nicotine, including the mobile phase composition and flow rate, using a UV detector and a C18 column. The optimal eluent composition was Acetate Buffer: Methanol: Acetonitrile with a ratio of 30:50:20, and the optimal flow rate was 0.2 mL min-1. Additionally, it was found that the nicotine content of tobacco stem samples was higher than that of tobacco dust samples. Overall, this study provides valuable information on the extraction and analysis of nicotine in tobacco samples using HPLC, which can have important implications on developing sustainable tobacco production practices to minimize the negative impacts of tobacco cultivation on social, health, and environmental conditions.

High Quality Universal Education Create High Quality Human Resources for The Construction Industry, Case In HCMC

In the era of the Fourth Industrial Revolution and the rapid development of Artificial Intelligence, the construction industry is facing great challenges in providing quality education that effectively meets the needs increasing number of highly skilled human resources, especially in the fields of construction and architecture. This study aims to address the question of how universities specializing in civil engineering and architecture in Ho Chi Minh City (HCMC) and Vietnam can train and produce qualified students to meet the increasing demands of the labor market. The research uses qualitative methods, conducting case studies at Ho Chi Minh City University of Architecture. Data will be collected through conducting in-depth interviews with stakeholders and decision makers at different management levels. The study aims to identify strategies and directions that can lead to the development of high-quality human resources in the field of construction and architecture. The results of this study will provide valuable insights to local and central government agencies as well as universities and businesses in need of high-quality human resources, helping them strengthen their training process, building and applying policies to support and improve overall quality. Higher education in the construction industry.

Perspectives and advances in consolidated bioprocessing strategies for lignin valorization

Complex and heterogeneous aromatic structures present limitless opportunities for the valorization of abundant residual lignin resources in nature and industry.

Strategic Design of Artificial Intelligence-Assisted Professional Literacy Teaching Content in the Modern Service Industry Program in Higher Education Institutions

Abstract The modern service industry is a new engine driving economic and social development, and the introduction of intelligent technology to optimize the optimization of professional teaching content can provide a source of motivation for the cultivation of high-quality professional service talents. This paper selects two dimensions of teaching resources recommendation and professional setting of the modern service industry in higher vocational colleges for analysis. In terms of teaching resource recommendation, the driver algorithm is used to collect teaching resources of the modern service industry, extract the resource characteristics of teaching content through keywords, and input them into the intelligent recommendation model of teaching content that combines capsule network and attention mechanism. In terms of adaptability of professional settings and industrial structures, the adaptability of modern service industry teaching can be verified through the aggregation degree, coincidence degree, and deviation degree. In this way, the optimization strategy for teaching content and professional settings in the modern service industry in higher vocational colleges is proposed. When using the model of this paper to carry out the recommendation of teaching resources for the modern service industry, the maximum gap in the COV value of the course teaching resources recommendation is 6.4 percentage points, and the fluctuation range of the NDCG value is between 4.45 and 4.79. The fit between the structure of students enrolled in the modern service industry and the tertiary industry ranged from −0.352 to −0.396, and the mean values of industry deviation and employment deviation were 0.292 and 0.499, respectively. Higher vocational colleges and universities should continuously promote the fitness of teaching resources and students, and establish a benign closed-loop consensus mechanism for industrial development and specialty settings.

Assessing forest changes in Yok Don National Park and surrounding areas, Dak Lak province, Vietnam

Forests serve as vital ecosystems, playing a pivotal role in preserving biodiversity, maintaining air and water quality, and regulating the climate, all while delivering many benefits to humanity and serving as a critical resource for diverse industries. This study investigated changes in forest cover within Yok Don National Park and surrounding areas in Dak Lak province, Vietnam, over the period from 2001 to 2021. The primary objective was to identify decadal shifts in forest cover through the utilization of freely accessible satellite remote sensing data and geographic information systems (GIS) tools. The maximum likelihood classification technique was employed to categorize Landsat images captured in 2001, 2011, and 2021. Furthermore, we evaluated the efficacy of the Normalized Difference Vegetation Index (NDVI) and the Soil-Adjusted Vegetation Index (SAVI) based classifications in detecting forest cover changes when compared to supervised classification. Initial estimates placed forest cover at 2796.91 km2, constituting 88.44% of the total land area in 2001, which subsequently declined to 2609.97 km2 (82.53%) in 2011, and further reduced to 1843.57 km2 (58.29%) in 2021. Severely reduced forest cover is often associated with the expansion of agriculture on the forest edge; other contributing factors include logging and illegal production land. Notably, the NDVI outperformed the SAVI in detecting forest cover changes. The findings of this research are anticipated to contribute to ongoing studies and enhance the effective monitoring of this protected forest area, thus providing invaluable insights for decision-makers.

Diagnosis of high-Ni NCA/Gr-Si cells before rapid capacity drop by monitoring the heterogeneous degradation.

Understanding the degradation of lithium-ion batteries is of utmost significance for preventing unexpected capacity drops and addressing safety concerns. The manner in which batteries degrade during operation has a notable influence on their subsequent cycle performance. In particular, the rapid capacity drop related to the spatial heterogeneity of the anode degradation highlights the necessity of a health indicator for an accurate battery diagnosis. A novel health indicator established in this study, the Dominant degradation factors among Negative and Positive electrodes (DNP) scores, enables clear identification of degraded states despite comparable capacity levels. Specifically, batteries with heterogeneous anode degradation exhibited negative scores and the aggravation of the cycle performance. It is anticipated that this health indicator can provide a distinct evaluation of batteries based on their degraded states, supporting onboard battery management and the efficient allocation of resources for the battery reuse industry.

Carbon dioxide and "methanol" economy: advances in the catalytic synthesis of methanol from CO<sub>2</sub>

Development of the "methanol" economy may be a way to establish the new chemistry under decarbonization conditions. Methanol here is used as a raw material for production of a wide range of chemicals, conventionally obtained from oil. The key process for the "methanol" economy is the reduction of CO<sub>2</sub>, which, along with renewable energy, is the main carbon-containing resource in the low-carbon industry. This review summarizes recent data on the main approaches to methanol production from CO<sub>2</sub>: catalytic hydrogenation of CO<sub>2</sub> with hydrogen on heterogeneous or homogeneous catalysts; electrochemical reduction of CO2 to methanol; and CO<sub>2</sub> conversion using photocatalysis. The main advantages and disadvantages of each method, the mechanisms of CO<sub>2</sub> conversion taking into account the features of each type of catalysis, and the main approaches to the efficient catalysts are discussed.<br> The bibliography includes 542 references.

A natural hydrogen seep in Western Australia: Observed characteristics and controls

Natural hydrogen (H2) is a promising resource for the energy industry’s transition to zero-carbon fuels. However, its extent and feasibility for exploitation remain unclear. A key step towards discovering subsurface dihydrogen accumulations is detecting H2 seeps. This study presents the first autonomous, multi-gas monitoring of a natural hydrogen seep in Australia, where dihydrogen, carbon dioxide, and hydrogen sulphide were measured together. The research revealed significant H2 seepage on the Yilgarn Craton in Western Australia, with seasonal fluctuations: high emissions after dry summers and reduced emissions following rainfall due to increased groundwater levels. Groundwater appears to act as a seasonal inhibitor to H2 seepage through the near subsurface potentially leading to false negatives in soil gas surveys post-rainfall and in low-lying areas. This work provides fundamental data for natural hydrogen exploration and therefore aids in the implementation of a large-scale hydrogen economy.

Research on the Construction of Electricity Market Operation Efficiency Assessment Model and Indicator Early Warning Based on Cloud Entropy Optimization Algorithm

Abstract In this paper, we first constructed the indexes for evaluating the operational efficiency of the electric power market, and screened the indexes by using the Delphi method. Then, the basic numerical characteristics of the cloud model are explored, and the hierarchical boundaries of the power market operational efficiency assessment indexes are delineated. The market operational efficiency assessment model is established by using the cloud entropy optimization algorithm, and the objective weights are determined by the entropy weighting method. The market operation efficiency assessment model is used to analyze the operation efficiency of the power market, and targeted suggestions are made to address existing problems. Finally, the risk warning threshold of the operation efficiency of the power market is set. The risk warning of the operation efficiency of the power market is analyzed. The predicted values and expected output values are compared to validate the applicability of the model in this application. The average value of the operation efficiency of the power market is 3.3, the level of efficiency is between 2 and 3, and the power market operation efficiency is in the range of 2-3. The range is 2-3, and the grade of power market operational effectiveness is medium. This study helps improve the operational efficiency of the power industry and optimize the allocation of market resources in the power industry.

Вплив прямих іноземних інвестицій на менш розвинені регіони

The article is devoted to the study of the impact of foreign direct investment (FDI) and the activities of TNCs in less developed regions (LDRs), which can lead to a break in value chains and to an increasingly complex division of labor, more complex decisions on location and directions of regional development. The author presents different types and mechanisms of FDI in more developed regions (MDRs) and in LDRs. The main approaches to FDI in the LDRs, developed in economic theory, are evaluated. Attention is drawn to that that international production and FDI will have significant implications for the LDRs in the near future. The development of factory automation is likely to reduce the feasibility of low labor costs, low-cost locations, which, in turn, will lead to increased reuse, attraction of resources in high-tech industries and a decrease in the level of added value of services. Increasing digitalization of supply chains is likely to lead to the emergence of more complex global production networks, the expansion of international production in both low-tech industries and higher value-added services. Increased automation and digitalization, trends in regional integration towards more stable local and regional sources of supply, and a push to become less dependent on imports of strategic goods undertaken by more developed regions (MDRs) are likely to lead to stronger organization of production networks on a macro-regional scale. The article urges experts to continue researching FDI in the face of uneven development.

Fermentation biotechnology applied to byproducts of the fish processing industry: Nutrition and functionality information

The article examines the importance of fermentation in the biotechnology of processing fish processing industry waste for the purpose of food production. In the context of the growing interest in sustainable development and food waste management, fermentation represents a promising approach to improving the efficiency of raw materials and creating added value. The article discusses various aspects of fermentation, including the selection of optimal enzymes, optimization of feedstock processes, as well as technological and economic aspects of food production from fish processing industry waste. The presented review of research and practical examples highlights the importance of fermentation in creating innovative and sustainable solutions in the field of food production from fish waste. The role of using microorganisms, such as lactic acid bacteria, for fish fermentation is invaluable. This process not only reduces the risk of spoilage due to competition for nutrients with pathogenic microorganisms, but also promotes the formation of beneficial metabolites such as organic acids, which improves the safety of the product and its organoleptic properties. Fermentation of fish by-products is an urgent and promising direction in the context of the development of sustainable methods of processing and using fish processing waste. The efficient use of fish byproducts not only reduces waste in industry, but also creates additional resources for various industries, contributing to sustainable development and economic growth.

Dynamic Periodic Event-Triggered Control for Networked Control Systems Under Packet Dropouts

This article presents a co-design method of dynamic periodic event-triggering mechanism (DPETM) and output-based control law for networked control systems (NCSs) subject to inevitable imperfections such as limited network resources, exogenous disturbances and successive packet dropouts. The developed DPETM has the potential to make full use of scarce network resources compared to the periodic sampled-data control on the one hand, and is natural for practical digital platforms instead of a discretized version of continuous event-triggered control (CETC) one the other hand. In this paper, the whole closed-loop system is modeled a unified hybrid system by incorporating bilateral DPETM, successive packet dropouts effects and external disturbances, and an improved hybrid Lyapunov function is constructed for stability analysis. Based on the hybrid framework, some sufficient conditions are presented to guarantee <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathcal{L}_2$</tex-math> </inline-formula> -stability of the system while tolerating a maximum allowable number of successive packet dropouts (MANSD). Furthermore, new linear matrix inequality (LMI) conditions for co-design of control law and triggering strategy are derived by introducing some constraints with the free variables and a modified Young’s inequality. In addition, this paper considers two scenarios relating to whether an acknowledgment scheme is employed or not. Finally, the effectiveness of the proposed method is verified by two illustrated examples and comparative studies. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —With the increasing requirement for reducing unnecessary waste of communication resources in modern industries, it is necessary to consider an alternative paradigm of the time-triggered control. In many digital control applications such as smart power grid, vehicle and remote surgery, the control tasks are often executed periodically, which makes it difficult for the theoretical results of CETC to be directly applied to practical digital platforms. The DPETM proposed in this paper, which only verifies the triggering conditions periodically at each sampling instant, is more suitable for practical digital platforms such as time-sliced embedded architectures compared to CETC. This paper investigates the stability problem for NCSs with DPETM subject to packet dropouts. Different from most of the existing literature on randomness of packet loss, this paper focuses on impact of the continuity of packet dropouts on system performance. Based on the hybrid framework and the Lyapunov approach, a co-design methodology of triggering condition and control law is proposed to ensure that the system satisfies the desired performance and can admit a MANSD.

Olive pomace bioactives for functional foods and cosmetics

The reuse and valorization of olive mill by-products, among others, is getting attention in the food and drugs-cosmetics sectors, due the recovery of their essential bioactive compounds in order to incorporate them as ingredients in functional foods, cosmetics, and pharmaceuticals. Olive pomace represents olive mill's main residue (by-product), and it is a sustainable and of low-cost renewable source of several bioactive compounds, while its valorization can reduce its environmental impact and make it an additional economic resource for food industries in a circular economy design. In this article, the natural bio-functional compounds of olive pomace with antioxidant and anti-inflammatory bioactivities are thoroughly reviewed. The incorporation of such bioactives as ingredients in functional foods and cosmetics is also discussed in detail. The limitations of such applications are also presented. Thus, promising techniques, such as encapsulation, and their applications for stabilizing and masking undesirable characteristics of such compounds, are also exhibited. The so far promising in vitro outcomes seem to support further in vivo assessment in trials-based setting.

Технологические аспекты очистки навозных стоков

Modern challenges of global economy increasingly require focusing on the state of livestock farming in Russia. As one of key areas of raw material resource of food industry, livestock farming, including pig farming, is undergoing significant difficulties in the struggle for environmental friendliness and competitiveness of the industry. The main difficulties arise in the production of by-products such as liquid manure. The processing of this product requires significant costs according to environmental requirements, and there is a need to search for and optimize technologies for its processing. The purpose of the study is to substantiate the optimization of manure wastewater treatment technology. During the research, an option for a technological line for treating manure wastewater with an optimal set of technological equipment is being considered. The last stage of purification is represented by clarification of the working fluid after separation of wastewater in a pressure flotation unit. The problem with using a pressure flotation unit for clarification of manure waste is the low availability of data for calculating its design parameters in accordance with the characteristics of the new clarified product.

ОРГАНИЗАЦИОННО-ЭКОНОМИЧЕСКИЙ МЕХАНИЗМ РАЗВИТИЯ ИННОВАЦИОННЫХ НАПРАВЛЕНИЙ СФЕРЫ УСЛУГ

The article considers theoretical approaches to the formation of organizational and eco-nomic mechanism of development of innovative areas of the service sector, which allows designing long-term strategies aimed at improving the efficiency of innovative projects of enterprises of this sphere. The concept of organizational and economic mechanism of development of innovative direc-tions of the sphere of services, its main characteristics and requirements, according to which it should ensure the effectiveness of innovative development of the sphere of services, is considered. It is offered to understand a totality of organizational and economic levers of managerial influence di-rected on formation, use and improvement of organizational, industrial, technical-technological, fi-nancial, economic, personnel, ecological and safety resources for maximization of profit of the en-terprise, and also strengthening of competitive advantages in the market and cost of business under the organizational and economic mechanism of development of innovative directions of the sphere of services. The dynamics of indicators of innovation activity of enterprises of the service sector in Russia is investigated. Generalized indicators of innovative development of enterprises of the Russian service sector are systematized, according to the results of which it is concluded that enterprises are mainly engaged in modernization and optimization of processes to reduce production costs. The or-ganizational and economic mechanism is presented, the mutual coordination of the process stages and the influence of its components allow formalizing and managing the development and imple-mentation of innovations. The construction of organizational and economic mechanism of manage-ment of innovative development of enterprises in the service sector creates the necessary prerequi-sites for improving the efficiency of innovative projects and ensuring the sustainability of competi-tiveness in the conditions of growing competition and increasing the level of globalization of the world market of services. The described organizational and economic mechanism of development of innovative directions of the service sector allows designing long-term strategies aimed at improving the efficiency of innovative projects implementation.

ОЭЗ В ПРАКТИКЕ РЕАЛИЗАЦИИ ПРОМЫШЛЕННОЙ ПОЛИТИКИ СТРАН ЮГО-ВОСТОЧНОЙ АЗИИ

Increasing the pace of economic growth, attracting investments, and technological develop-ment are considered by governments of developing countries as priority goals. Methods of economic regu-lation, in particular the creation of special economic zones (SEZs) with a set of preferential investment and production conditions are used to this end. This paper analyzes the compliance of the applied model of SEZs with the level of industrial development, and the current stage of industrial development in the coun-try. The hypothesis is that the formation of SEZs in developing countries and the system for evaluating their effectiveness are determined by the level of industrial development and resource availability, as characteris-tics of the industrial development of the economy. The article uses systemic and institutional-evolutionary methodology, and methods of analysis, synthesis, and comparative analysis. The study revealed that at an early stage of industrial development, countries actively attract foreign capital by creating export-oriented zones. Attracting foreign direct investment can increase the pace of economic growth, form an industrial complex, and make qualitative changes in the structure of the workforce. The attractiveness of SEZs for foreign investment depends on the geographical features of the location, the available resources, and the in-frastructure. During the transition of countries to the final stage of industrialization, it is advisable to use a SEZ open to the domestic market, aimed at maintaining the innovation sector and integrating research and production. Maintaining an isolated SEZ export model may increase the vulnerability of the host country to global challenges and slow down the transition to a post-industrial economy.