bluuebunny/crossref_metadata_2025 huggingface dataset:
A New Scene Sensing Model Based on Multi-Source Data from Smartphones
Authors: Ding Zhenke , Deng Zhongliang , Hu Enwen , Liu Bingxun , Zhang Zhichao , Ma Mingyang
Published: October 2024

Smartphones with integrated sensors play an important role in people’s lives, and in advanced multi-sensor fusion navigation systems, the use of individual sensor information is crucial. Because of the different environments, the weights of the sensors will be different, which will also affect the method and results of multi-source fusion positioning. Based on the multi-source data from smartphone sensors, this study explores five types of information—Global Navigation Satellite System (GNSS), Inertial Measurement Units (IMUs), cellular networks, optical sensors, and Wi-Fi sensors—characterizing the temporal, spatial, and mathematical statistical features of the data, and it constructs a multi-scale, multi-window, and context-connected scene sensing model to accurately detect the environmental scene in indoor, semi-indoor, outdoor, and semi-outdoor spaces, thus providing a good basis for multi-sensor positioning in a multi-sensor navigation system. Detecting environmental scenes provides an environmental positioning basis for multi-sensor fusion localization. This model is divided into four main parts: multi-sensor-based data mining, a multi-scale convolutional neural network (CNN), a bidirectional long short-term memory (BiLSTM) network combined with contextual information, and a meta-heuristic optimization algorithm.
Stretchable Ag/AgCl Nanowire Dry Electrodes for High-Quality Multimodal Bioelectronic Sensing
Authors: Wang Tianyu , Yao Shanshan , Shao Li-Hua , Zhu Yong
Published: October 2024

Bioelectrical signal measurements play a crucial role in clinical diagnosis and continuous health monitoring. Conventional wet electrodes, however, present limitations as they are conductive gel for skin irritation and/or have inflexibility. Here, we developed a cost-effective and user-friendly stretchable dry electrode constructed with a flexible network of Ag/AgCl nanowires embedded in polydimethylsiloxane (PDMS). We compared the performance of the stretched Ag/AgCl nanowire electrode with commonly used commercial wet electrodes to measure electrocardiogram (ECG), electromyogram (EMG), and electroencephalogram (EEG) signals. All the signal-to-noise ratios (SNRs) of the as-fabricated or stretched (50% tensile strain) Ag/AgCl nanowire electrodes are higher than that measured by commercial wet electrodes as well as other dry electrodes. The evaluation of ECG signal quality through waveform segmentation, the signal quality index (SQI), and heart rate variability (HRV) reveal that both the as-fabricated and stretched Ag/AgCl nanowire electrode produce high-quality signals similar to those obtained from commercial wet electrodes. The stretchable electrode exhibits high sensitivity and dependability in measuring EMG and EEG data, successfully capturing EMG signals associated with muscle activity and clearly recording α-waves in EEG signals during eye closure. Our stretchable dry electrode shows enhanced comfort, high sensitivity, and convenience for curved surface biosignal monitoring in clinical contexts.
Disparities in Tobacco Smoking by Sex and Employment Status: Results from South Africa’s First Global Adult Tobacco Survey
Authors: Egbe Catherine O. , Nevhungoni Portia , Londani Mukhethwa
Published: October 2024

Background/Objectives: Tobacco smoking is a cause of premature death and illness globally. This study examined the prevalence and factors associated with tobacco smoking among South African adults according to sex, education, and employment status among socio-demographic subgroups. Methods: Data were obtained from the 2021 South African Global Adult Tobacco Survey (a nationally representative household survey using a multi-stage stratified cluster random sampling design). The 6311 participants were aged 15+ years. Descriptive statistics, chi-square tests, and multiple logistic regression analysis were used to investigate relationships between current smoking and socio-demographic variables. Results: Smoking prevalence was 25.8% (n = 1573) (41.2% among men, 11.5% among women; 29.9% among working individuals, 23.1% among non-working individuals). The multiple logistic regression results showed that males aged 45–64 were twice as likely to be currently smoking than males aged 15–24. Coloured (of mixed race) males were twice as likely to smoke as Black African males. Males with secondary/post-secondary education were less likely to smoke compared to males with no education. Coloured females were seven times and White females were almost five times more likely to smoke than Black African females. Females with post-secondary education were less likely to smoke than those with no formal education. Females earning an income were more likely to smoke compared to those with no income. Non-working participants aged 25–44 and 45–64 were more likely to smoke compared to those aged 15–24 years. Working and non-working Coloured and working White individuals were three times more likely to smoke than working or non-working Black Africans. Conclusion: Groups with higher identified smoking prevalence may indicate where smoking cessation interventions should be targeted to reduce national smoking prevalence.
Rapid Weight Changes and Competitive Outcomes in Muay Thai and Mixed Martial Arts: A 14-Month Study of 24 Combat Sports Events
Authors: Doherty Colin S. , Fortington Lauren V. , Barley Oliver R.
Published: October 2024

This study investigates the rapid weight loss (RWL) and rapid weight gain (RWG) of contest winners and losers from Muay Thai (MT) and mixed martial arts (MMA) events. The relationship between rapid weight change variables of males and females, and competitive success is also examined. Data from a weight management questionnaire was collected one day post-competition from 185 participants across 24 fight events, resulting in 263 responses (MMA: n = 78, MT: n = 185). Official and secondary weigh-in data were provided by the Combat Sports Commission. The results show that in MT, contest winners compared to losers had significantly greater RWL–7 days (5.9 ± 2.6% vs. 4.6 ± 2.7%, p = 0.01), RWG (6.2 ± 2.9% vs. 4.7 ± 2.8%, p = 0.003), and RWG/RWL ratio (108% [86–132%] vs. 86% [60–119%], p = 0.038), while no significant differences were observed for MMA. Mixed logistic regression models that controlled for age showed that a 1% increase in female RWL–24 h ([OR = 1.57, R2 = 0.105, p = 0.001]) was associated with a 1.6 times higher likelihood of winning compared to female athletes without this increase. We emphasise that associations do not imply causation, and it is possible that other factors which align with rapid weight change practices may impact the observed relationship. Nonetheless, MT contest winners show greater RWL, RWG, and RWG/RWL ratio than losers, and female rapid weight changes appear to be associated with competitive success in this cohort.
A Two-Stage Bayesian Network Approach to Inland Waterway Navigation Risk Assessment Considering the Characteristics of Different River Segments: A Case of the Yangtze River
Authors: Ye Ziyang , Chen Yanyi , Wang Tao , Tang Baiyuan , Wan Chengpeng , Zhang Hao , Zhou Bozhong
Published: October 2024

Identifying the main sources of risk for different types of waterways helps to develop targeted risk control strategies for different river segments. To improve the level of risk management in inland waterways for sustainable development, a two-stage risk evaluation model is proposed in this study by integrating a fuzzy rule base and Bayesian networks. The model evaluates risk sources from the following four dimensions: probability of occurrence, visibility, probability of causing accidents, and consequences. Typical river sections in the upper, middle, and lower reaches of the Yangtze River were selected as cases, and 19 risk sources were identified and comparatively analyzed from the perspectives of humans, ships, the environment, and management. The fuzzy rule base is employed to compare expert opinions, yielding three key risk sources for each section based on their risk values. The findings reveal certain commonalities in the principal risk sources across sections. For example, natural disasters (landslides, earthquakes, and extreme hydrological conditions) are present in both the middle and lower reaches, and an insufficient channel width is common in the upper and middle reaches. However, the key risk sources differ among the sections. The upper reaches are primarily threatened by the improper management of affiliated vessels and adverse weather, while the middle reaches suffer from insufficient channel width surplus, and the lower reaches are mainly threatened by high vessel traffic density and low-quality crews. The results of the study show that the key risk sources in each section of the Yangtze River have obvious differences and need to be assessed according to the characteristics of different sections. This study can provide a reference for decision-making in inland waterway risk management by maritime safety authorities.
Assessing Student Satisfaction and Institutional Efficiency in Dormitory Management: A Qualitative Analysis Based on Student Perspectives
Authors: Altinay Zehra , Arslan Recep Uğur , Sharma Ramesh Chander
Published: October 2024

This research examines the information management processes implemented in student dormitories and evaluates the enhancement of institutional efficiency based on student satisfaction. The study involved 150 students residing in dormitories across two universities, and data were collected through participant interviews. The findings indicate that while dormitory management is perceived as effective in some areas, there are significant opportunities for improvement in information management, communication, and service quality. Based on the student feedback, this article proposes several strategies to enhance dormitory management, including the adoption of digital platforms for better communication, regular maintenance schedules, and improved transparency in financial management. The challenges of implementing these measures, such as resource constraints and institutional resistance to change, are also discussed. These recommendations aim to improve student satisfaction and, consequently, institutional efficiency.
Co-Developing Business Plans for Upscaled Coastal Nature-Based Solutions Restoration: An Application to the Venice Lagoon (Italy)
Authors: Pernice Umberto , Coccon Francesca , Horneman Fabienne , Dabalà Caterina , Torresan Silvia , Puertolas Laura
Published: October 2024

Upscaling coastal nature-based solutions (NbSs), from the river to sea scale, essential to the ultimate success of restoration, requires larger investments, greater socio-economic engagement and a transformative shift in governance. Consequently, the ability to catalyze blended finance from public and private investors through business model innovation and accessibly written long-range business plans is imperative. This research proposes a methodology to systematically co-design, through iterative stakeholder engagement, suitable and effective business models for upscaling NbSs coastal restoration, as well as a framework to develop business plans adaptable to different investors needs and financial criteria. This method was tested and validated in a saltmarsh restoration project coordinated by public agencies in the Venice Lagoon. It delivered an advanced business model canvas, carefully assessed through a stakeholder questionnaire and a related business case centered on ecotourism complemented by a willingness-to-pay analysis. The resulting business plan lays out the governance, management, business and financial strategies for successful restoration, addressing specific interconnected issues, improving five main ecosystem services and delivering NbS multifunctional environmental, economic, social and cultural benefits. The methodology has proven to be applicable beyond the Venice Lagoon saltmarsh case and types of restoration projects.
Bibliometric Analysis of Root Research under Drip Irrigation Based on Web of Science
Authors: Feng Yamin , Lei Tao , Guo Xianghong , Bi Yuanjie , Gao Xiaoli
Published: October 2024

The study delves into the prevailing focal points and developmental trends within the international sphere of crop root research under drip irrigation. It leverages the Web of Science core database and employs VOSviewer for a systematic review of the literature spanning 2001 to 2022. The analysis encompasses publication counts, publishing journals, contributing authors, research institutions, and keywords. Findings indicate that research on root systems under drip irrigation has become a notable area of interest in the field of irrigation, attracting global scholarly attention. There is a marked upward trend in publication output, with institutions in China and the United States taking on central roles. Journals like Agricultural Water Management and Acta Horticulturae are key publication venues, with Vadose Zone Journal being notable for high-impact articles. The research primarily involves agronomy, water resources, and horticulture, focusing on yield enhancement through drip irrigation, root distribution under various techniques, crop quality in response to partial root-zone drying, and irrigation scheduling model development. Scholars like Jiri Simunek and Yaohu Kang have made substantial contributions. The field’s established framework calls for continued international collaboration to drive further innovation. The identified trends and parameters can be a valuable reference for researchers, policymakers, and practitioners, guiding efforts to optimize agricultural productivity and resource use.
Has Environmental Regulation Promoted the Spatial Agglomeration of Hog Production in Administrative Border Regions? Evidence from the Yangtze River Basin in China
Authors: Wu Qianrong , Xu Lanzhuang , Wu Xinwang , Zhu Quantao
Published: October 2024

This study finds that the livestock environmental regulation (LER) imposed by China has promoted the spatial agglomeration of hog production in the administrative border areas, thereby posing a threat to ecological sustainability. We apply the difference-in-differences-in-differences (DDD) method to a unique dataset in counties along the main stem and 38 important tributaries of the Yangtze River basin in China from 2008 to 2019. Specifically, the slaughter volume and density of hogs in the most downstream border counties of a city are 7.87% and 9.56% higher, respectively, than those of otherwise identical counties within the same municipal jurisdiction. Conversely, in the most upstream border counties, these figures decreased by 12.02% and 15.35%, respectively. Moreover, we find that the fixed capital investment in the most downstream border counties is 22.54% less than that in otherwise identical counties. These findings imply that LER has driven the agglomeration of hog production in downstream administrative border areas, inadvertently shifting the pollution burden to these regions and posing potential challenges to the effectiveness of environmental policies.
A Machine Learning and Deep Learning-Based Account Code Classification Model for Sustainable Accounting Practices
Authors: Koç Durmuş , Koç Feden
Published: October 2024

Accounting account codes are created within a specific logic framework to systematically and accurately record a company’s financial transactions. Currently, accounting reports are processed manually, which increases the likelihood of errors and slows down the process. This study aims to use image processing techniques to predict cash codes in accounting reports, automate accounting processes, improve accuracy, and save time. Deep learning embeddings from Inception V3, SqueezeNet, VGG-19, VGG-16, Painters, and DeepLoc networks were utilized in the feature extraction phase. A total of six learning algorithms, namely Logistic Regression, Gradient Boosting, Neural Network, kNN, Naive Bayes, and Stochastic Gradient Descent were employed to classify the images. The highest accuracy rate of 99.2% was achieved with the combination of the Inception V3 feature extractor and the Neural Network classifier. The results demonstrate that image processing methods significantly reduce error rates in accounting records, accelerate processes, and support sustainable accounting practices. This indicates that image processing techniques have substantial potential to contribute to digital transformation in accounting, helping businesses achieve their sustainability goals.
Municipal Solid Waste Incineration (MSWI) Fly Ash as a Potential Adsorbent for Phosphate Removal
Authors: Juntarasakul Onchanok , Roongcharoen Pongthon , Tabelin Carlito Baltazar , Phengsaart Theerayut
Published: October 2024

Phosphorus, in the form of phosphate, is an essential nutrient used in agriculture, but in excess, it becomes harmful to the environment by promoting the eutrophication of aquatic ecosystems, leading to oxygen depletion and phytoplankton overgrowth. This study aims to repurpose municipal solid waste incineration (MSWI) fly ash for phosphate removal by adsorption and develop sustainable, cost-effective MSWI fly ash-based mitigation strategies for phosphorus pollution. Batch experiments were conducted to examine the effects of contact time, phosphate concentration, MSWI fly ash dosage, and pH on phosphate removal efficiency. The results indicate that the phosphate removal efficiency significantly improved with a longer contact time, pH of 2, increased MSWI fly ash dosage, and higher initial phosphate concentrations. These findings highlight the potential of repurposing MSWI fly ash as an economical and sustainable adsorbent to mitigate the impacts of phosphate pollution on aquatic ecosystems, a strategy that promotes not only waste reduction and the circular economy but also environmental protection and conservation.
EU Maritime Industry Blue-Collar Recruitment: Sustainable Digitalization
Authors: Socoliuc Bogdan Florian , Nicolae Florin , Pleșea Doru Alexandru , Suciu Andrei Alexandru
Published: October 2024

This research identifies the maritime industry’s key manpower recruitment criteria and uses a specialized online platform to assess the impact of recruitment digital transformation. Through the analysis of 183 validated surveys of Romanian shipbuilding and ship-repair technicians using IBM SPSS Statistics, this study examines digital recruitment trends and potential outcomes. Additionally, it highlights a notable gap in recent literature on digital recruitment optimization within the EU shipbuilding and ship-repair sectors. The findings demonstrate that digitally integrating recruitment tools—such as technical interviews, verified performance evaluations, and machine-learning algorithms for candidate prioritization—could significantly enhance recruitment accuracy, transparency, and efficiency. The key potential outcomes include improved efficiency, reduced bias, scalability, and cost savings overall for the recruitment process—valuable insights for European maritime stakeholders seeking to remain competitive, while addressing increasing labor demands.
Growth and Biomass Yield of Grey Sedge (Lepironia articulata Retz. Domin) under Different Shoot-Cutting Intervals in a Tropical Peatland
Authors: Sodikin Erizal , Irmawati Irmawati , Suwignyo Rujito A. , Halimi Entis S. , Tampubolon Marudut , Yang A-Ram , Yang Hyunyoung , Baral Himlal
Published: October 2024

Grey sedge (Lepironia articulata Retz. Domin) is a plant endemic to tropical peatlands and is widely used as a handicraft and biodegradable product that brings income to local farmers. However, its habitat has been decreasing due to peatland degradation, which has forced local farmers to harvest L. articulata repeatedly in the same habitat. To examine the effects of repeated shoot cutting at different time intervals on L. articulata growth and biomass yield, a mesocosm experiment was conducted from June 2019 to March 2020 in a tropical peatland in Perigi village, Ogan Ilir District, South Sumatra, Indonesia, using a randomized block design with four treatments and three replicates. The treatments were as follows: P1 (cutting every 1 month), P2 (cutting every 2 months), P3 (cutting every 3 months), and P4 (cutting at 6-months). The results showed that P1 significantly reduced monthly shoot height, shoot diameter, shoot number, dry biomass, cumulative shoot number, and cumulative dry biomass. In contrast, considering L. articulata‘s regenerative growth, the growth and cumulative biomass yield of P3 (1453.5 ± 518.4 g m−2) were as good as those of P4. These results indicate that the harvesting interval should be longer than 3 months for the sustainable use of L. articulata in tropical peatlands without damaging its regenerative ability.
Optimization of a Typical Gas Injection Pressurization Process in Underground Gas Storage
Authors: Chen Shuangqing , Yu Ze , Li Yuchun , Wang Zhihua , Si Minglin
Published: October 2024

In the early construction of an underground gas storage facility in an oil and gas field in southwest China, the increasing gas injection volume led to a continuous rise in energy consumption, which affects the economic sustainability of gas injection and extraction. In order to improve efficiency and reduce energy consumption, optimization of the pressurization process was carried out. An optimization model for the process of pressurization in underground gas storage has been established. Based on the model, a joint optimization approach is applied, where MATLAB is responsible for the iterative process of finding the optimal parameter combinations and HYSYS is responsible for the establishment of the process and calculation of the results of the process parameters. The key parameters include the outlet parameters of the compressor and the air cooler, which are critical in determining the overall energy consumption and operational performance of the system. Accordingly, the results related to the optimal parameter combinations for two-stage compression and three-stage compression were obtained in the case study. Compared with one-stage compression, two-stage and three-stage compression can diminish energy consumption by 1,464,789 kJ/h and 2,177,319 kJ/h, respectively. The reduced rate of energy consumption of three-stage compression was 16.10%, which was higher than that of two-stage compression by 10.83%. Although the construction costs of three-stage compression were higher than those of two-stage compression, from the perspective of long-term operation, three-stage compression had lower operating costs and superior economy and applicable value. The research results provided scientific references and new ideas for the optimization and adjustment of the pressurization process in underground gas storage.
Impact of the Coupling Coordination Degree of Human Capital and Infrastructure on High-Quality Economic Development: Empirical Evidence from Chinese Cities
Authors: Chen Jinqi , Pan Lingying
Published: October 2024

China’s economy is transitioning from high-speed to high-quality development, making coordination between economic factors increasingly important. Human capital (HC) and infrastructure (INFRA) are important elements of economic development, and the coupling coordination of the two can have a non-negligible impact on regional economies’ high-quality development. Therefore, this study measures the coupling coordination degree (CCD) of HC and INFRA based on data of 184 prefecture-level cities in China from 2011 to 2019, and comprehensively examines the impact effect and mechanism of the CCD on high-quality economic development (HQED). The relevant results are threefold. (1) Compared with single factors, the degree of HC-INFRA CCD can promote HQED more efficiently. (2) A significant single-threshold effect is evident in the promotion of HQED by the degree of HC-INFRA CCD, and a smaller city size and more extensive higher education institutions promote a stronger threshold effect. (3) Factor allocation and factor efficiency are significant transmission mechanisms of the HC-INFRA CCD affecting HQED, and the mediating effect of the capital-labor force allocation path accounts for 66.28% of the total indirect effect. The results provide empirical evidence verifying that HC-INFRA CCD promotes HQED, along with insightful reference suggestions for formulating relevant macro policies and promoting high-quality urban economic development.
Assessing Hydrological Response and Resilience of Watersheds as Strategy for Climatic Change Adaptation in Neotropical Region
Authors: Ogasawara Matheus E. K. , Mattos Eduardo M. , Rocha Humberto R. , Wei Xiaohua , Ferraz Silvio F. B.
Published: October 2024

This study aimed to assess the hydrological response and resilience of watersheds in a neotropical region to identify regions sensitive to climate variations, enabling the development of adaptive strategies in response to global environmental changes. This study applied Budyko’s framework using Fuh’s hydrological model rewritten by Zhou to estimate hydrological response and Budyko’s metrics (deviation and elasticity) to estimate hydrological resilience to climatic changes in 26 watersheds in southeastern Brazil. The proposed modeling was able to capture the differences among the watersheds, with “m” values ranging from 1.79 to 3.63. It was possible to rank the hydrological resilience from low to high across watersheds using Budyko’s metrics, where the highest values of elasticity were found in watersheds with a higher percentage of forest cover. The sensitive analyses showed that watersheds with higher “m” values are more sensitive to changes in precipitation and potential evapotranspiration. The results also demonstrate that mean elevation and stream density were two key variables that influence the “m” value; these physiographic characteristics may alter the water and energy balance of the watershed affecting the water yield. A relationship between watershed’s hydrological response and resilience was proposed to identify critical areas for the stability of water yield in the watersheds, providing a guide for public policy and suggesting ways to help the management of water resources in watersheds.
Traffic Congestion and Safety: Mixed Effects on Total and Fatal Crashes
Authors: Phan Duc C. , Truong Long T.
Published: October 2024

This paper examines the effects of traffic congestion on total crashes, fatal or serious injury (FSI) crashes, and fatal-only crashes in peak periods using a zone-level safety analysis in Greater Melbourne. Bayesian mixed-effect negative binomial models are employed to investigate the relationship between a congestion index and the frequency of total and FSI crashes. In addition, Bayesian mixed-effect binary logistic models are adopted to explore the association between the congestion index and the likelihood of having fatal crashes in Statistical Area Level 2 (SA2) zones. Modelling results indicate that traffic congestion tends to increase total crashes in both the AM and PM peak periods and FSI crashes in the AM peak period. In contrast, traffic congestion tends to decrease the likelihood of having fatal crashes at both the AM and PM peaks. These findings suggest that many policies to reduce traffic congestion may also enhance road safety by lowering the overall number of crashes. However, it is crucial to incorporate careful speed management within these policies to reduce the risk of fatal crashes effectively.
Thermal Comfort and Restorative Benefits of Waterfront Green Spaces for College Students in Hot and Humid Regions
Authors: Huang Bixue , Zhao Yang , Yang Jiahao , Wang Wanying , Guo Tongye , Luo Xinyi , Du Meng
Published: October 2024

Global climate change presents a serious threat to the sustainable development of human society, highlighting the urgent need to develop effective adaptation strategies to mitigate the impact of climate-related disasters. Campus waterfront green spaces, integral to the blue-green infrastructure, have been demonstrated to facilitate stress recovery. However, in hot and humid regions, severe outdoor thermal conditions may impair students’ mental and physical health and cognitive function, leading to symptoms such as increased stress, anxiety, and depression. This study examined the influence of outdoor thermal environments on health recovery by selecting three different waterfront green spaces in this climate: Space A (medium water body, sky view factor (SVF) = 0.228), Space B (large water body, SVF = 0.808), and Space C (small water body, SVF = 0.292). The volunteers’ thermal comfort and the restorative benefits of these spaces were evaluated via the perceived restorativeness scale (PRS), heart rate (HR), and electrodermal activity (EDA). We found variations in the neutral physiological equivalent temperature (PET) across the spaces, with values of 28.1 °C (A), 28.9 °C (B), and 29.1 °C (C). The lowest skin conductance recovery rate (RSC) at 0.8811 was observed in Space B, suggesting suboptimal physiological recovery, despite higher scores in psychological recovery (fascination) at 15.23. The level of thermal comfort in this hot and humid region showed a negative correlation with the overall PRS score, the “being away” dimension, and heart rate recovery (RHR). At a lightly warm stress level, where PET increased from 31.0 to 35.7 °C, RSC peaked between 1.45 and 1.53 across all spaces. These insights provide guidance for urban designers and planners in creating waterfront green space designs that can improve the urban microclimate and promote thermal health, achieving sustainable health.
Sustainability Implications of Commodity Price Shocks and Commodity Dependence in Selected Sub-Saharan Countries
Authors: Wanzala Richard Wamalwa , Obokoh Lawrence Ogechukwu
Published: October 2024

Sub-Saharan economies often rely heavily on a narrow range of commodities, making them particularly vulnerable to price fluctuations in global markets. This volatility predisposes these countries to economic instability, threatening short-term growth and long-term development goals. As a result, this study examines the sustainability implications of commodity price volatility and commodity dependence for 31 Sub-Saharan African countries from 2000 to 2023. Eleven agricultural commodity-dependent countries, six energy commodity-dependent countries, and fourteen mineral and metal ore-dependent countries were chosen. This study uses balanced annual panel data from World Development Indicators, World Bank Commodity Price Data, and Federal Reserve Bank Data. The data were analyzed using the VECM, and this study’s findings were threefold and unanimous for all three categories of commodities (agricultural, energy and mineral, and metal ore). First, commodity dependence is positively related to economic growth, suggesting that higher commodity prices benefit the economy in the long run. Second, commodity price volatility is negatively related to economic growth, indicating adverse impacts on economic stability in the long run. Third, commodity dependence is positively related to commodity price volatility in the long run. By analyzing the interconnectedness of these factors, this study underscores the need for diversified economic policies and sustainable practices to reduce vulnerability and promote sustainable development in the region. The findings highlight the critical role of strategic resource management and policy interventions in achieving economic stability and ensuring the well-being of future generations.
Changes in Travel Activities and Preferences in Gangwon Province, South Korea, Due to Social Distancing Measures during COVID-19
Authors: Ham Kwangmin , Hong Jiseon , Kim Eujin Julia
Published: October 2024

Social media data are increasingly used to assess public opinion dynamics and develop sustainable regional tourism policies. This study explored the changes in travel patterns and preferences in Gangwon Province before, during, and after the implementation of social distancing measures during the COVID-19 pandemic. Five hundred and twenty-six YouTube videos related to travel in Gangwon Province were collected using NodeXL, and content and statistical analyses were conducted on travel regions, main activities, and viewers’ reactions. The main findings indicated that as the intensity of social distancing measures increased, the activity of YouTube video creators also increased, particularly in the East Coast region, compared with other locations such as mountains, rivers, and traditional markets. Viewer engagement was the highest during the implementation of social distancing, showing a considerable interest in beach travel. These results have significant implications for planning safe travel during crises such as COVID-19 and for local governments to promote a responsible travel environment.
Congruence and Discrepancy: Matching Effect of Searching and Integration on Green Product Development Performance
Authors: Yin Jianhua , Jiang Ping
Published: October 2024

The development of green products in manufacturing enterprises is challenged by limited independent innovation capabilities and insufficient green technology. Based on knowledge-based theory, this study investigates the influence of boundary-spanning green technology search (BGTS) and technology integration capability (TIC) on green product development performance (GPDP). Using polynomial regression analysis with response surface methodology (PRA with RSM) on data from 341 companies, the following findings were obtained: (1) Higher levels of BGTS and TIC congruence are associated with higher GPDP compared to lower levels of congruence. (2) The degree of discrepancy between the BGTS and TIC has an inverted U-shaped relationship with GPDP. (3) GPDP is higher in the “low BGTS–high TIC” combination than in the “high BGTS–low TIC” combination. (4) Green technology innovation capability mediates the relationship between BGTS-TIC congruence and GPDP. (5) Strategic foresight positively moderates the relationship between the BGTS-TIC congruence and green technology innovation capability. These findings enrich the research content of organizational search theory, deepen the research of green technology innovation, expand research on the development of green products, and provide a decision-making reference for manufacturing enterprises’ green transition practices.
Comparative Remediation of Arsenic and Antimony Co-Contaminated Soil by Iron- and Manganese-Modified Activated Carbon and Biochar
Authors: Han Jiayi , Zhao Chuang , Yang Min , Ye Mingheng , Li Yani , Zhou Keke , Zhang Junrui , Song Peipei
Published: October 2024

At present, soil contaminated with arsenic (As) and antimony (Sb) is escalating at an alarming rate, which is harmful to human health. In this study, Fe- and Mn-modified activated carbon (AC) and biochar (BC) were prepared and compared for the remediation of As- and Sb-contaminated soil. The effects on the speciation of As and Sb, soil pH, organic matter (SOM), and enzyme activity with various dosages and remediation times were investigated. The results showed that on the whole, the best stabilization effect of As and Sb was achieved with 3% FeMnBC. Furthermore, with increases in time and dosage, the immobilization effect on As and Sb was more significant. Fe/Mn-modified AC and BC enhanced soil pH, with 3% MnAC being particularly effective; 3% AC and 3% FeMnAC demonstrated the most pronounced enhancement in SOM. The modified carbon materials exhibited a dramatic increase in enzymatic activity. In particular, urease activity showed an increasing trend, and catalase activity first decreased and then increased over 30 days. Among the treatments, 3% MnAC showed the most significant enhancements in catalase and urease activities, whereas 1% FeMnBC had the most pronounced effect on increasing sucrase activity. This study provides theoretical support for the remediation of soil co-contaminated with As and Sb by Fe/Mn-modified AC and BC.
Presence of Trace Elements in Edible Insects Commercialized through Online E-Commerce Platform
Authors: San Onofre Nadia , Vie David , Soriano Jose M. , Soler Carla
Published: October 2024

This study aimed to evaluate the presence of various elements in edible insect-based food products available for human consumption. Several products were analyzed using atomic spectroscopy, and descriptive statistical analysis was conducted with IBM SPSS Statistics 27. The results revealed the presence of elements such as arsenic, cadmium, copper, magnesium, nickel, silver, lead, tungsten, uranium, mercury, platinum, aluminum, beryllium, bismuth, lithium, antimony, and thallium. Significant differences were found based on product type, insect species, and country of origin. The findings underscore the need to assess each insect species for its potential as a food source, taking into account element bioaccumulation factors. A comprehensive, global approach is essential for ensuring the food safety of edible insects as a sustainable protein source. Further research is needed to address these safety concerns.
A Circulation Study Based on the 2022 Sino–Vietnamese Joint Survey Data from the Beibu Gulf
Authors: Zeng Zhi , Liu Jinwen , Zhao Xin , Chen Zhijie , Chen Yanyu , Chen Bo , Shi Maochong , He Wei
Published: October 2024

This study analyzed the horizontal and vertical distribution characteristics of temperature and salinity in the central and eastern regions of the Beibu Gulf, based on conductivity measurements in summer 2022, temperature, and depth (CTD) measurement data from the Sino–Vietnamese cooperative project “Demonstration Study on Ecological Protection and Management in Typical Bays: Seasonal Survey of the Beibu Gulf”. Furthermore, the study utilized the computational results from the numerical Finite-Volume Coastal Ocean Model (FVCOM) to elucidate the intrinsic patterns that formed the temperature and salinity distribution characteristics in August 2022 from both thermodynamic and dynamic perspectives. The circulation in the Beibu Gulf drives external seawater to move northward from the bay mouth. During this movement, numerous upwelling areas are created by lateral Ekman transport. The formation of different scales of cyclonic and anticyclonic vortices and current convergence zones is influenced by topography, runoff, and the water flux from the Qiongzhou Strait, which are key factors in the formation of upwelling and downwelling. The surface circulation in August 2022 significantly differed from the 20-year average surface circulation, with an influx of 1.15 × 104 m3/s more water entering the Beibu Gulf compared to the multi-year average. The water flux from the Qiongzhou Strait is a critical factor affecting the circulation patterns in the Beibu Gulf. The northeastern waters of the Beibu Gulf are characterized by current convergence zones, where extensive upwelling occurs. The rich nutrient salts in these areas promote the reproduction and growth of phytoplankton and zooplankton, making this the most favorable ecological environment in the Beibu Gulf and serving as a natural reserve for fisheries, coral reefs, dugongs, and Bryde’s whales.
Landslide Deformation Analysis and Prediction with a VMD-SA-LSTM Combined Model
Authors: Wen Chengzhi , Tian Hongling , Zeng Xiaoyan , Xia Xin , Hu Xiaobo , Pang Bo
Published: October 2024

The evolution of landslides is influenced by the complex interplay of internal geological factors and external triggering factors, resulting in nonlinear dynamic changes. Although deep learning methods have demonstrated advantages in predicting multivariate landslide displacement, their performance is often constrained by the challenges of extracting intricate features from extended time-series data. To address this challenge, we propose a novel displacement prediction model that integrates Variational Mode Decomposition (VMD), Self-Attention (SA), and Long Short-Term Memory (LSTM) networks. The model first employs VMD to decompose cumulative landslide displacement into trend, periodic, and stochastic components, followed by an assessment of the correlation between these components and the triggering factors using grey relational analysis. Subsequently, the self-attention mechanism is incorporated into the LSTM model to enhance its ability to capture complex dependencies. Finally, each displacement component is fed into the SA-LSTM model for separate predictions, which are then reconstructed to obtain the cumulative displacement prediction. Using the Zhonghai Village tunnel entrance (ZVTE) landslide as a case study, we validated the model with displacement data from GPS point 105 and made predictions for GPS point 104 to evaluate the model’s generalization capability. The results indicated that the RMSE and MAPE for SA-LSTM, LSTM, and TCN-LSTM at GPS point 105 were 0.3251 and 1.6785, 0.6248 and 2.9130, and 1.1777 and 5.5131, respectively. These findings demonstrate that SA-LSTM outperformed the other models in terms of complex feature extraction and accuracy. Furthermore, the RMSE and MAPE at GPS point 104 were 0.4232 and 1.0387, further corroborating the model’s strong extrapolation capability and its effectiveness in landslide monitoring.
Prediction of the Resource of the Power Plant Hybrid Vehicle
Authors: Gerlici Juraj , Bazhinov Oleksiy , Kravchenko Oleksandr , Bazhynova Tatiana , Kravchenko Kateryna
Published: October 2024

This article substantiates the possibility of solving a difficult task to offer a reliable estimate of the residual resource of the power plant of a hybrid car, which is exposed during operation to the influence of a complex set of external factors. This task is solved by monitoring the time change of diagnostic parameters and controlling the load–speed mode of the hybrid power plant, as well as using physical and chemical processes that cause the degradation of the traction battery. Methodological principles for assessing the resource of a hybrid power plant of a car have been developed, which are based on the disclosure of cause-and-effect relationships between realized and nominal quality indicators, operating conditions, and indicators of technical condition. The choice of rational solutions for the operation of a hybrid car is given, and the external conditions are determined, under which the residual life of the hybrid power plant will change. The scientific result of the study is a theoretical generalization of the scientific provisions of forecasting the resource of the hybrid power plant of a car. This ensures the efficient use of hybrid vehicles and reduces maintenance costs.
Современные аспекты функционирования института общественного контроля как механизма диалога между обществом и властными структурами
Authors: Свирина Л.Н.
Published: October 2024

В статье раскрывается теоретическое осмысление целевой направленности, значимости, действенности функционирующего в России института общественного контроля, представляющего собой одну из сфер системы контролирующих функций государственного управления. Проводится анализ различных подходов ученых и экспертов к научной интерпретации сущностного определения общественного контроля в сравнении с законодательно закрепленным. На основании определенных автором проблемных моментов при оценке деятельности института общественного контроля и его главного субъекта Общественной палаты РФ и с учетом нарастающей потребности гражданского общества участвовать в социально-экономической и политической жизни государства предлагаются основные направления их совершенствования.

The article reveals a theoretical understanding of the target orientation, significance, and effectiveness of the institution of public control functioning in Russia, which represents one of the spheres of the system of control functions of public administration. An analysis is carried out of the various approaches of scientists and experts to the scientific interpretation of the essential definition of public control in comparison with the legally established one. Based on certain problematic issues when assessing the activities of the institution of public control and its main subject, the Public Chamber of the Russian Federation, and taking into account the growing need of civil society to participate in the socio-economic and political life of the state, the main directions for its improvement are proposed.
Маркетинговые стратагемы функционирования высокотехнологичных компаний
Authors: Левина Е.В.
Published: October 2024

Цель статьи. Исследование ориентировано на мониторинг, анализ и оценку маркетинговых стратагем развития ресурсной базы высокотехнологичных компаний с целью повышения их эффективности и устойчивости положения на рынке. Материалы и методы. В процессе проведения исследования автором был использован широкий спектр методов, приемов и подходов: анализ, синтез, обобщение, классификация, структуризация, систематизация для изучения теоретико-методологической базы, основанной на трудах отечественных и зарубежных ученых, необходимой для разработки маркетинговой стратегии, дискурсивный анализ нормативно-правовой документации, регулирующей развитие высокотехнологичных компаний промышленного сектора, вторичный анализ открытых данных, представленных на основе проведенных ранее исследованиях. Результаты. В предложенной статье отражены и сгруппированы стратегические альтернативы управления корпоративными ресурсами современных организаций на основе маркетинга. Применение. Полученные результаты могут быть полезны как для экономистов-практиков, маркетологов, управленцев, так и для дальнейших научных изысканий.

The purpose of the article. The research is focused on monitoring, analyzing and evaluating marketing strategies for the development of the resource base of high-tech companies in order to increase their efficiency and stability of their market position. Materials and methods. In the course of the research, the author used a wide range of methods, techniques and approaches: analysis, synthesis, generalization, classification, structuring, systematization to study the theoretical and methodological base based on the works of domestic and foreign scientists necessary for the development of a marketing strategy, discursive analysis of regulatory documentation regulating the development of high-tech companies in the industrial sector, a secondary analysis of open data presented based on previous research. Results. The proposed article reflects and groups strategic alternatives to the management of corporate resources of modern organizations based on marketing. Application. The results obtained can be useful both for practical economists, marketers, managers, and for further scientific research.
أسماء الجواري والقيان والمغنيين- مقاربة (أنثروبونيمية) لدلالات الأسماء في كتب الأخبار.
Authors: الوثلان مي
Published: October 2024

وردت في مدونات الأدب والتراجم جملة من الألقاب والأسماء اللافتة للنظر من جهات مختلفة؛ من بينها ما تحيل إليه الأسماء أو الألقاب من دلالات اجتماعية وثقافية وأدبية، وارتباط هذه الدلالة بمجريات حياة المسمى بها، وتأثيرها في سلوكه وأفعاله، بما يدعو إلى تحليل هذه الأخبار واستطلاع مكنوناتها.
من هنا، تعقبت الدراسة أثر هذه الأسماء والألقاب في جملة من الأخبار الواردة في (الأغاني) و(المستظرف) وغيرهما من الكتب، وحللت كيفية تفاعل الجواري والمغنيين مع الألقاب الممنوحة لهم. وتجيب الدراسة عن مجموعة من الأسئلة المتعلقة بهذه الإشكالية من بينها: ما بواعث التسمية والتلقيب؟ وما آثار التسميات في الأخبار المنقولة عن أصحابها؟ وإلى أي حدّ كان التوافق بين الجواري والغلمان وألقابهم؟
وتستعين الدراسة بمناهج مختلفة بحسب مقتضيات البحث ومتطلباته، من ذلك المنهج الثقافي والنفسي والسيميائي؛ لمحاولة فهم خصوصية الألقاب وما صاحبها من ظواهر نفسية واجتماعية، فضلاً عن تفكيك هذه العلامات والرموز.
وقد توصلت الدراسة إلى إثبات هذه العلاقة بين الاسم أو اللقب والأخبار المروية عن صاحبه وأثرها في حياته، وقد برز هذا التعاضد في المقدمات التعريفية التي تفتح بها الترجمة، وتشترك الشخصيات الهامشية في النزوع إلى مخالفة الآداب والتقاليد الاجتماعية المألوفة وعدم الاعتداد بها ومجاوزتها؛ فيظهر في سلوكها التمرد أو الثورة.
واستبان لنا من رصد الأسماء وتتبع الأخبار، أن النصوص والشواهد الداعمة لفكرة الدراسة كثيرة جدًا، فضلاً عمّا أهملته الدراسة -عمدًا-من أسماء اللصوص والشحاذين والشعراء والظرفاء وغيرهم كثير، ولعل هذه الدراسة تفتح بابًا لدراسة أوسع ومدونة أعمّ للوصول إلى دلالات ونتائج جديدة.