bluuebunny/crossref_metadata_2025 huggingface dataset:
Quantifying the Environmental Impacts of Manufacturing Low Earth Orbit (LEO) Satellite Constellations
Authors: Kumaran Sritharan Thirumalai , Tan Chekfoung , Emes Michael
Published: November 2024

The growing amount of space debris in the low Earth orbit poses a danger to manned as well as uncrewed missions. Additionally, the new business model of providing internet from space is emerging among new space players, making low Earth orbit more crowded. These factors have encouraged the space community to focus on sustainability in space. Satellite manufacturers typically have the capability to perform complete life cycle analysis (LCA) on their own products based on the manufacturing data. However, there is a lack of a method for non-manufacturers such as environmentalists and the general public to predict the carbon footprint of satellite manufacturing using a subsystem-level mass budget. Hence, this paper presents a method to quantify environmental pollution caused by the production of satellite constellations. Starlink is taken as a case study in this paper, and mass budget is predicted based on space systems engineering budget estimation techniques, the parametric method, and Federal Communication Commission orbital data. With the budget table used as an input, space-specific life cycle assessment is performed based on European Space Agency’s life cycle inventory database. Finally, the single score for Starlink constellation version 1 was found to be 76 kilo points. This signifies the annual environmental load. These results could be helpful in obtaining an overview of the environmental effects of the production phase of satellite constellations. Further, the results could act as a foundation for further research on implementing more circular approach practices on Earth as well as in space.
Exploring Moringa oleifera: Green Solutions for Sustainable Wastewater Treatment and Agricultural Advancement
Authors: Gutierrez Herrera Juan Carlos , Martínez Ovallos Ciro Andrey , Agudelo-Castañeda Dayana Milena , Paternina-Arboleda Carlos D.
Published: November 2024

Increasing concerns over water pollution have driven the search for sustainable wastewater treatment alternatives. This study evaluates the effectiveness of two coagulants derived from Moringa oleifera seeds–powder and extract–as sustainable solutions for wastewater reuse in agriculture. Comparative experiments were conducted using aluminum sulfate, a conventional coagulant, at various doses under controlled laboratory conditions. The results demonstrated that both M. oleifera-based coagulants were highly effective, achieving turbidity reductions of 97% and 99%, respectively. Notably, the powder form required lower doses than the extract but had longer sedimentation times. Further detailed analyses at optimized doses (500 mg/500 mL for powder and 12.5 mL/500 mL for extract) met international standards for wastewater quality in agricultural irrigation. Comprehensive analyses encompassing pH, turbidity, COD, BOD5, TSS, DO, conductivity, NO2−, NO3−, SO42−, PO43−, and fecal and total coliforms consistently adhered to stringent criteria, confirming the effectiveness of M. oleifera-derived coagulants. These findings highlight the potential of M. oleifera in wastewater treatment, offering sustainable solutions to environmental challenges and enhancing food security in resource-limited regions. Our research supports the broader adoption of these eco-friendly alternatives, which could significantly reduce water scarcity and promote sustainable agricultural practices, addressing critical environmental concerns.
An Agro-Food Planning System: Democratic, Decentralized, Holistic, and Voluntary Participatory
Authors: Öztürk Murat
Published: November 2024

In both capitalist and socialist economies, agricultural planning has been understood as the allocation of areas for planting of certain products; the production potential and ability to act rationally of farmers, the main productive actors, have been neglected. In addition, in both economic structures, the desired results have only been partially achieved by determining prices. These experiences reveal two important results. Firstly, agriculture can not be fully planned, but it cannot be continued without planning either. Secondly, it is necessary for agricultural products to have an exchange value, but price is a multifunctional phenomenon and how it is determined is important. The current equivalent of the claim that prices are determined through the market mechanism is to advocate that prices are determined by capitalist companies that have monopoly power in the markets. The increasingly severe problems and increasing fragility of agricultural food markets, which are already largely under the control of these institutions, already show that this structure is not a solution. On the other hand, it is no longer possible to provide food security by planning for primary agricultural products alone; agro-food production and distribution have acquired different structural characteristics, and it has become necessary to address food security within the framework of agro-food systems. Therefore, effective agricultural planning requires the planning of the agricultural food system as a whole. The e-nam system being popularized in India has achieved a certain success and shows not only that it is possible to organize and manage agricultural food markets after primary production but also that technological opportunities offer effective planning opportunities. In this study, based on historical and current experiences, the inadequacies of the market mechanism, the fact that agricultural production is carried out by using living things to produce living things, and the dependency of uncontrollable factors are taken into consideration in the development of a democratic mix of centralized and decentralized planning aimed at determining both the production quantities and prices by utilizing the capacity and conditions of farmers and technological opportunities to meet today’s needs. In accordance with this result, a basic planning proposal is presented.
Mapping Rural Mobility in the Global South: Case Studies of Participatory GIS Approach for Assessments of Daily Movement Needs and Practice in Nepal and Kenya
Authors: De Roulet Pablo , Chenal Jérôme , Munyaka Jean-Claude Baraka , Pudasaini Uttam
Published: November 2024

This paper investigates rural mobility in the Global South using a participatory GIS approach to address the lack of mobility data that hampers sustainable planning to support rural development and resilience. Limited rural mobility due to poor infrastructure and financial constraints hinders social and economic activities, impeding development. The study aims to explore the socio-economic impacts of limited mobility, identify software needs for data-scarce environments, and map daily mobility patterns. Fieldwork was conducted in Kenya (2022) and Nepal (2023), collecting geographic data related to mobility. The methodology included community engagement and digital mapping using the QField app for precise data collection. The study highlights the use of participatory GIS to fill data gaps, enabling more accurate mobility assessments. Community engagement revealed gender-specific mobility patterns, with women facing particular challenges in daily activities. The study emphasizes the need for adaptable data models to reflect community-specific mobility needs and the integration of qualitative insights to propose effective and sustainable mobility solutions. This research contributes to understanding rural mobility in the Global South and demonstrates the effectiveness of participatory GIS in overcoming data scarcity and enhancing mobility analysis.
Development of Calculation Method for Full-Time Equivalent Workers per Man-Year to Improve Fatality Rate Estimation
Authors: Soh Jayho , Lee Jaehyun , Jeong Jaewook , Jeong Jaemin , Son Jeongwook
Published: November 2024

The fatality rate in the construction industry is a key indicator for assessing safety management, with the number of workers being a critical factor in its estimation. Many countries rely on sampling inspections or assumptions to determine the number of workers, which can lead to inaccuracies in evaluating the fatality rate. In this study, we developed a method to calculate the full-time equivalent workers per man-year (FTEWm·y) to more accurately estimate the fatality rate, taking into account building and work types using daily work reports (DWRs). The research process included six steps: (i) selecting a target project; (ii) establishing a database; (iii) developing the FTEWm·y framework based on the DWR; (iv) validating the framework; (v) calculating the FTEWm·y for residential building projects in the Republic of Korea; and (vi) applying the framework. The key findings included the following: the FTEWm·y/USD for residential projects was 1.1 × 10−3 FTEWm·y/USD, with the framework achieving an accuracy of 85.30% and an R2 value of 92.92% through five-fold cross-validation. The FTEWm·y for residential buildings in the Republic of Korea was 4.5 × 107 FTEWm·y, and the fatality rate was 0.011‱. This framework offers a more precise way of evaluating fatality rates by considering specific building and work types, improving safety management practices in the construction industry.
Sustainable Development of Rural Mountain Tourism: Insights from Consumer Behavior and Profiles
Authors: Dobre Carina , Linca Andreea-Cristiana , Toma Elena , Iorga Adina
Published: November 2024

This study aims to investigate the behavior of consumers in rural mountain tourism, with a particular focus on sustainability and durability. Questionnaire surveys were conducted in 2022 in Bucharest during the national tourism fair, collecting responses from 212 visitors based on their availability to participate. Our purpose was to gather their opinions on visiting the rural areas of the Carpathian Mountains in Romania and to reveal distinct patterns in tourist preferences. The responses were analyzed using the Statistical Package for the Social Sciences (SPSS) 20.0, where descriptive analyses and the Mann–Whitney U test were performed. The study results indicated that perceptions and service satisfaction vary based on demographic and economic characteristics. Women slightly favored higher-quality accommodations and dining services, while lower-income and secondary-educated respondents expressed higher contentment with local hospitality. This research emphasizes the need for a nuanced approach to tourism services that promotes local community engagement and sustainable practices to ensure long-term environmental and economic viability. There is a clear need to develop tourism strategies that align with sustainability principles, ensuring that the Carpathian Mountains region remains attractive and resilient for future generations.
Value Assessing and Financial Reporting of Marine Resource Assets: Taking NB-ZS Maritime Space as a Case Study
Authors: Gao Ruiyan , Li Mengxue , Yu Yaguai , Chen Yiting , Luo Yingzhu
Published: November 2024

As a key component of natural resources, marine resource assets have become increasingly important in the construction of today’s ecological civilization. Firstly, the statements of the assets and liabilities for marine resources are constructed from the physical assets and estimate value based on a full discussion of the measurement approach applied to the exceptional features of marine resource assets and liabilities. Secondly, the statements of the assets and liabilities of the Ningbo-Zhoushan marine area (hereinafter to be referred as NB-ZS) are presented based on detailed data. Finally, based on empirical and case studies, this paper has constructed a three-level statement system of marine resource assets and liabilities: the statement of physical assets, the statement of estimated value, and the summarized statement. The conclusions and countermeasures include the following: (1) the measurement of the value is effective based on the measurement of the physical assets for the statement system of marine resource assets and liabilities; (2) the statement system of marine resource assets and liabilities is applied to a detailed marine area, taking NB-ZS as an example; and (3) the statement of marine resource assets and liabilities can promote the protection of marine resources and the sustainable development of the marine economy after delicate measurement of its value compared with its physical assets.
We Only Collect What We Need: Women’s Experiences on Collecting Cauchao (Amomyrtus luma Molina) in Food Systems of Extreme South Forests in Chile
Authors: Fredes Carolina , Parada Alejandra , Aguirre Carolina , Rojas Loreto , Robert Paz , Bernales Margarita
Published: November 2024

The collection of the ancestral fruit cauchao (Amomyrtus luma) is part of the routines of women gatherers from the extreme south (44° South Latitude) in Chile. The traditional food knowledge of cauchao has not been documented, and there is no data on the nutritional composition. Women’s experiences collecting cauchao can help understand the relationship between traditional food, herbal medicine, and local gatherers’ communities. Thus, this research explores the traditional knowledge of food and the nutritional composition of cauchao. Mixed methods research was performed. A case study included in-depth interviews with 12 women gatherers and thematic analysis. The composition of macronutrients in cauchao was obtained by proximate chemical analyses and dietary fiber using the enzymatic-gravimetric method. Results showed that gathering for these women was more than just extracting natural resources; it was associated with family, food security, participation in different stages of the food system, and practices that could contribute towards sustainable food systems. Furthermore, cauchao fruit showed a high dietary fiber content, and women gatherers did not connect cauchao with dietary fiber. Since access to knowledge by small-scale food producers, especially women, is part of the Sustainable Development Goals (SDG#2.3), the approach of this research may help guide knowledge transfer among women gatherers.
A Holistic Analysis on Risks of Post-Disaster Reconstruction Using RStudio Bibliometrix
Authors: Serter Merve , Gumusburun Ayalp Gulden
Published: November 2024

Post-disaster reconstruction (PDR) is a complex and unpredictable process, especially concerning the construction sector, where understanding associated risks is increasingly vital. This study investigates and evaluates the present condition of post-disaster reconstruction risk (RoPDR) and discerns research trends and deficiencies in the domain via a systematic literature review (SLR) and bibliometric analysis. The Web of Science (WoS) was preferred for its extensive repository of pivotal research publications and its integrated analytical capabilities for producing representative data. This study performed a comprehensive bibliometric analysis of 204 peer-reviewed journal articles regarding the risks associated with post-disaster reconstruction from 1993 to 2024, utilizing the R statistical programming package RStudio Bibliometrix R version 4.3.1 to map the research landscape, identify literature gaps, and analyze rising trends. As a result of the analyses, the risks of post-disaster reconstruction were classified into four main clusters. Despite numerous studies exploring post-disaster reconstruction through diverse perspectives and methodologies, the associated risks of these projects remain inadequately analyzed. This inaugural bibliometric study in the realm of RoPDR utilizes novel techniques, such as the h-index, thematic mapping, and trend topic analysis, to attain a comprehensive understanding. Hence, the outcome of this study will aid scholars and practitioners in thoroughly comprehending the present condition and identifying prospective research directions.
Innovation Ecosystems and Sustainable High Innovation Performance: Evidence from the Guangdong–Hong Kong–Macao Greater Bay Area
Authors: Wu Fan , Li Mingyang , Huang Huanshui
Published: November 2024

The innovation ecosystem has a significant impact on regional innovation development. Based on the “actor-resource-environment” analytical framework, this study takes nine cities in mainland China within the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) from 2012 to 2022 as case studies. By applying a comprehensive evaluation model and kernel density estimation, the study analyzes the development level and dynamic evolution of the innovation ecosystem in the GBA. Furthermore, using a mixed-method approach of dynamic QCA and NCA, the study explores the pathways to achieving high innovation performance in the GBA. The key findings are as follows: (1) The comprehensive score of the GBA innovation ecosystem shows a rising trend, with a pattern of multi-polarization, “top-tier effect”, and the persistence of strong performance within the region. (2) Technological innovation actors and the digital economy environment have become necessary conditions for achieving sustained high innovation performance in the GBA. Inter-group results highlight the significant temporal effects of technological innovation actors, R&D personnel input, and a public service environment, which exhibit S-shaped, W-shaped, and U-shaped patterns, respectively. Intra-group results reveal notable regional differences in the necessity level of seven conditional variables across GBA cities. (3) There are two types of innovation ecosystems driving high innovation performance in the GBA: actor-driven and resource–environment synergy-driven ecosystems. While no significant cross-time or cross-case effects exist between these two types, inter-group consistency changes indicate that the innovation ecosystem in the GBA has become more mature and stable since the establishment of the GBA in 2017.
Effects of Aquatic Plant Diversity and Cipangopaludinas chinensis on Nitrogen Removal and Its Stability in Constructed Wetlands
Authors: Kuang Guangqian , Tao Jingwen , Zheng Xiangyong , Yang Luping , Shen Kai , Xu Xile , Xiao Derong , Zhao Min , Han Wenjuan
Published: November 2024

In constructed wetlands (CWs), aquatic plant diversity can enhance system nitrogen (N) removal. However, the impact of aquatic plant diversity with different life forms and benthic animals on the N (NO3−-N, NH4+-N, TIN) removal and its stability has been neglected. This study established 42 simulated CWs, selecting three aquatic plant species with different life forms to establish plant species diversity, with benthic animals (Cipangopaludinas chinensis) added or not added at each diversity level. The results indicated that (1) the presence of the aquatic plant Pistia stratiotes increased the effluent nitrate nitrogen (NO3−-N) concentration. (2) In systems with or without C. chinensis, the plant species richness increased the temporal stability of the effluent NO3−-N concentration; the presence of the aquatic plant Vallisneria natans increased the temporal stability of the effluent total inorganic nitrogen (TIN) concentration in systems without C. chinensis and the temporal stability of the effluent NO3−-N concentration in systems with C. chinensis. (3) Adding C. chinensis significantly reduced the temporal stability of the effluent TIN concentration in the monoculture of V. natans. The rational establishment of aquatic plant diversity with benthic animals can improve the effluent’s water quality while ensuring the water quality’s temporal stability.
Education for Sustainable Development: What Matters?
Authors: Bucea-Manea-Țoniș Rocsana , Păun Dan Gheorghe , Martins Oliva M. D. , Santos Artur J. , Urdeș Laura
Published: November 2024

There is a raising of concerns about the need to change environmental behaviours through economic and social activities. Education plays a significant role in this process, with schools enhancing the necessary behaviour adoption by youngsters and their community. Thus, the present study examines the relationship between different variables, such as sustainability (green public procurement, healthy food activity) and education (course, impact, interactive teaching methods/technology). We developed a survey regarding education for sustainable development (ESD), with five sections considering the referred variables. We applied it to 385 Romanian educators and teachers from kindergarten and primary school. An SEM model was formed to evaluate the relationship between the associated variables. The results showed that an organisation or school with a long-term plan incorporating green public procurement will positively stimulate initiatives that help the next generation adopt good eating habits. Moreover, this eco-sustainable approach affects the creation of interactive teaching methods and the courses and classes. Consequently, the changes in interactive methods will positively affect the overall impact. Nevertheless, the relationship between courses and impact was not significant. This means management decisions regarding green strategies can lead to a broader change in a school setting, fostering the ESD.
Toward Sustainable Operations Strategy: A Qualitative Approach to Theory Building and Testing Using a Single Case Study in an Emerging Country
Authors: Yudoko Gatot
Published: November 2024

The increasing global consciousness and collective recognition of the importance of sustainability, coupled with initiatives focused on sustainable development, have resulted in a heightened commitment and transformation among organizations and corporations in their endeavors to contribute to the achievement of sustainable development goals through their corporate sustainability initiatives. Prior studies have underscored the effects of corporate sustainability on various strategic levels, such as corporate, business, and operations, paving the way for further investigation. This paper seeks to establish a theoretical framework for sustainable operations strategy through six propositions and subsequently validate this framework via a qualitative case study analysis of a production and processing special economic zone in an emerging nation, specifically Indonesia. The findings from the empirical testing indicate that the proposed theoretical framework has been validated with minor adjustments, through the inclusion of good corporate governance and the adoption of local core values. The paper also presents theoretical and managerial implications, along with suggestions for future research avenues.
Circular Economy in the Agri-Food System at the Country Level—Evidence from European Countries
Authors: Khatami Fahimeh , Cagno Enrico , Khatami Rayeheh
Published: November 2024

The circular economy is a tangible paradigm in response to the unsustainable model of production and consumption of resources in the agri-food system. The circular economy allows for a reduction in the environmental impact through the minimization of food waste or the maximal generation of renewable energy from waste. Despite the relevance, in the extant literature, there are scant indications on how to apply circular business models in agri-food systems. Hence, the paper aims to analyze the circular economy implementation level in the agri-food system in 29 European countries, focusing on specific circular economy strategies. Selected indicators were analyzed to evaluate the level of circular economy implementation in the agri-food system (e.g., production values, energy sharing from renewable sources, and total waste emission) using a Panel data analysis method. The required variables were gained from the global databases within the recent five years (2014–2018). The results reveal an overall lack of circular economy implementation in the agri-food systems among European countries. A set of 12 managerial propositions was suggested to foster the implementation of the circular business models by interacting the recycling, extending, intensifying, and dematerializing strategies with aspects of the production process, waste emission, and renewable energy sharing in the agri-food system.
Key Factors for Building Information Modelling Implementation in the Context of Environmental, Social, and Governance and Sustainable Development Goals Integration: A Systematic Literature Review
Authors: Jing Wu , Alias Aidi Hizami
Published: November 2024

Driven by global sustainability trends, Building Information Modelling (BIM) technology is increasingly becoming a key tool in the construction industry to improve efficiency and sustainability. This study aims to identify the key factors affecting BIM implementation in the context of Environmental, Social, and Governance (ESG) and Sustainable Development Goals (SDGs) and to construct a theoretical framework for BIM implementation based on these factors. To achieve this objective, this study used a systematic literature review (SLR) method to systematically review the relevant literature between 2009 and 2024 and identified 16 key factors from the selected 406 studies through keyword co-occurrence analysis (using VOSviewer 1.6.20) and data coding. These key factors include top management support for ESG and SDGs, alignment of SDGs, ESG integration, technical support, BIM software, BIM hardware, structural adjustment and collaboration, capacity building, change management, skill and attitude, educational training and development, incentive mechanism, roles and responsibilities, sustainable construction practices, policies and regulations, and resource efficiency. This study categorises these factors under the Strategy, Technology, Organisation, People, Environment (STOPE) framework and proposes a theoretical implementation framework for BIM accordingly. The findings not only provide a practical guiding framework for the sustainable development of construction companies in the context of ESG and SDG integration but also lay a solid theoretical foundation for future empirical research.
A Review of the Efficient and Thermal Utilization of Biomass Waste
Authors: Zhu Jiaao , Guo Yun , Chen Na , Chen Baoming
Published: November 2024

As a new type of energy that can meet the requirements of carbon neutrality, biomass has received wide attention in recent years, and its rational and efficient thermal utilization can help reduce greenhouse gas emissions and establish an energy-saving, low-carbon energy system to promote sustainable development. In this paper, the current utilization and research status of plant-based biomass waste is comprehensively summarized from four aspects, namely component properties, industrial thermal utilization means, experiments and theoretical calculations. In addition, this paper summarizes the research progress in several aspects, such as microscopic experimental studies, macroscopic pyrolysis characterization, and multiscale theoretical model construction of biomass waste. However, due to the diversity and heterogeneity of biomass, there are still some challenges to extending the laboratory research results to large-scale industrial production, for which we also provide an outlook on future technological innovations and development directions in this research area.
Systematic Literature Review on Overspending and Sustainable Budgeting: Insights for Hungarian Households
Authors: Vastag Tímea , Eisinger-Balassa Boglárka
Published: November 2024

This study overviews the keywords overspending, family, and sustainable budget from different perspectives in the existing literature. Its goal is to identify the gap through keyword analysis and formulate a methodological direction for the future, using an overview of the methodologies used for researching individual keywords. This publication is based on a systematic literature review, including articles from the Web of Science, Science Direct, and Scopus databases. The resulting publications are analyzed from several angles, such as the number of publications per keyword per year, which methodologies were applied, and at which level (micro, meso, macro) the topic was previously researched. As an output of the partial analyses, both the lack of research on the sustainable spending habits of Hungarian households and the need for a methodology that can be applied for this purpose emerges. The results enable the development of a combined method, with which current research can be carried out on a micro level regarding sustainable spending habits in Hungary.
The Visual Greenery Field: Representing the Urban Green Visual Continuum with Street View Image Analysis
Authors: Stancato Gabriele
Published: November 2024

This study proposes a method to analyze urban greenery perceived from street-level viewpoints by combining geographic information systems (GIS) with image segmentation. GIS was utilized for a geospatial statistical analysis to examine anisotropy in the distribution of urban greenery and to spatialize image segmentation data. The result was the Visual Greenery Field (VGF) model, which offers a vector-based representation of greenery visibility and directionality in urban environments. The analysis employed street view images from selected geographic locations to calculate a Green View Index (GVI) and derive visual vectors. Validation confirmed the reliability of the methods, as evidenced by solid correlations between automatic and manual segmentations. The findings indicated that greenery visibility varies across the cardinal directions, highlighting that the GVI’s average value may obscure significant differences in greenery’s distribution. The VGF model complements the GVI by revealing directional coherence in urban greenery experiences. This study emphasizes that while the GVI provides an overall assessment, integrating the VGF model enriches the understanding of perceptions of urban greenery by capturing its complexities and nuances.
Host-Driven Ubiquitination Events in Vector-Transmitted RNA Virus Infections as Options for Broad-Spectrum Therapeutic Intervention Strategies
Authors: Sreepangi Sanskruthi , Baha Haseebullah , Opoku Lorreta Aboagyewa , Jones Naomi X. , Konadu Maame , Alem Farhang , Barrera Michael D. , Narayanan Aarthi
Published: November 2024

Many vector-borne viruses are re-emerging as public health threats, yet our understanding of the virus–host interactions critical for productive infection remains limited. The ubiquitination of proteins, including host- and pathogen-derived proteins is a highly prominent and consistent post-translational modification that regulates protein function through signaling and degradation. Viral proteins are documented to hijack the host ubiquitination machinery to modulate multiple host processes including antiviral defense mechanisms. The engagement of the host ubiquitination machinery in the post-translational modification of viral proteins to support aspects of the viral life cycle including assembly and egress is also well documented. Exploring the role ubiquitination plays in the life cycle of vector-transmitted viral pathogens will increase the knowledge base pertinent to the impact of host-enabled ubiquitination of viral and host proteins and the consequences on viral pathogenesis. In this review, we explore E3 ligase-regulated ubiquitination pathways functioning as proviral and viral restriction factors in the context of acutely infectious, vector-transmitted viral pathogens and the potential for therapeutically targeting them for countermeasures development.
Forecasting Multi-Step Soil Moisture with Three-Phase Hybrid Wavelet-Least Absolute Shrinkage Selection Operator-Long Short-Term Memory Network (moDWT-Lasso-LSTM) Model
Authors: Jayasinghe W. J. M. Lakmini Prarthana , Deo Ravinesh C. , Raj Nawin , Ghimire Sujan , Yaseen Zaher Mundher , Nguyen-Huy Thong , Ghahramani Afshin
Published: November 2024

To develop agricultural risk management strategies, the early identification of water deficits during the growing cycle is critical. This research proposes a deep learning hybrid approach for multi-step soil moisture forecasting in the Bundaberg region in Queensland, Australia, with predictions made for 1-day, 14-day, and 30-day, intervals. The model integrates Geospatial Interactive Online Visualization and Analysis Infrastructure (Giovanni) satellite data with ground observations. Due to the periodicity, transience, and trends in soil moisture of the top layer, time series datasets were complex. Hence, the Maximum Overlap Discrete Wavelet Transform (moDWT) method was adopted for data decomposition to identify the best correlated wavelet and scaling coefficients of the predictor variables with the target top layer moisture. The proposed 3-phase hybrid moDWT-Lasso-LSTM model used the Least Absolute Shrinkage and Selection Operator (Lasso) method for feature selection. Optimal hyperparameters were identified using the Hyperopt algorithm with deep learning LSTM method. This proposed model’s performances were compared with benchmarked machine learning (ML) models. In total, nine models were developed, including three standalone models (e.g., LSTM), three integrated feature selection models (e.g., Lasso-LSTM), and three hybrid models incorporating wavelet decomposition and feature selection (e.g., moDWT-Lasso-LSTM). Compared to alternative models, the hybrid deep moDWT-Lasso-LSTM produced the superior predictive model across statistical performance metrics. For example, at 1-day forecast, The moDWT-Lasso-LSTM model exhibits the highest accuracy with the highest R2≈0.92469 and the lowest RMSE ≈0.97808, MAE ≈0.76623, and SMAPE ≈4.39700%, outperforming other models. The moDWT-Lasso-DNN model follows closely, while the Lasso-ANN and Lasso-DNN models show lower accuracy with higher RMSE and MAE values. The ANN and DNN models have the lowest performance, with higher error metrics and lower R2 values compared to the deep learning models incorporating moDWT and Lasso techniques. This research emphasizes the utility of the advanced complementary ML model, such as the developed moDWT-Lasso-LSTM 3-phase hybrid model, as a robust data-driven tool for early forecasting of soil moisture.
Investigating the Influence of Vegetation Height on the Air Concentration of Supercritical Aerated Flows
Authors: Mozer Anne , Harish S.
Published: November 2024

Spillways can present a way to control the overflowing of water during flood events and prevent damage from levee breaches. With increasing interest in nature-based solutions, the interaction between flow and vegetation parameters has to be understood. Aeration usually occurs during the overflow of sloped spillways, leading to the bulking of flow, alterations of flow characteristics, and energy dissipation. The influence of the vegetation parameter on aerated flow characteristics has not yet been investigated in greater detail; no systematic investigation of the effect of vegetation parameters has been conducted. This paper aims to systematically analyze the influence of different vegetation heights on air entrainment during the overflow of spillways. Therefore, a spillway model with a slope of 18° (1:3) was equipped with artificial turf of varying turf heights, and supercritical flows were investigated. The aeration was measured using double-tip conductivity probes, giving insights into air concentration profiles, bubble count rates, estimations of energy dissipation, and flow velocities. The results highlighted the significant influence of vegetation height on the aeration process. Higher air concentrations over the flow depth were observed for higher turf heights tested in this study. Also, the energy dissipation and flow velocity reduction increased with higher vegetation heights. Overall, the present study uncovers the effect of vegetated covers, thereby contributing to the fundamentals of aerated flows.
Potencial ecoturístico de um fragmento florestal urbano na Amazônia ocidental Brasileira
Authors: Oliveira Matheus Nascimento , Nascimento Rodrigo Lima do , Monte Nilciane Almeida do , Magalhães Kathellen Gomes , Correia Manuela Jucá , Santos Maria Síngela Freitas dos , Dutra Isabelle Caroline Silva , Vasconcelos Victor Silva , Silva Tiago Lucena da
Published: November 2024

A observação de aves é uma prática com alto potencial econômico, pela alta diversidade de aves, entretanto, ainda é pouco explorada no extremo ocidente amazônico brasileiro. O presente trabalho apresenta o potencial da prática de observação de aves (birdwatching) em fragmento florestal localizado na zona urbana do município de Cruzeiro do Sul, Acre, conhecido como Mata do Educandário/Coração Verde. Para o registro da avifauna do local foi realizado um censo de busca ativa para identificação das espécies de aves que ocorreu durante 39 dias, totalizando 8 horas semanais, e para o registro, foram utilizados câmera fotográfica e gravador de áudio, utilizando o método da lista de Mackinnon. Após todas as observações e identificações, foi elaborado um formulário online, para o ranking de atratividade geral e características mais atrativas das aves. Houve um total de 50 participantes que avaliaram um total de 77 espécies de aves. Foi calculado o Índice de frequência das Listas (IFLs) das espécies, e a análise estatística de qui-quadrado com as respostas obtidas dos formulários. Os resultados mostraram que a atratividade geral das aves para observação foi classificada como média, com o canto e a morfologia sendo considerados mais atrativos. O fragmento apresenta cerca de 10% das espécies de aves conhecidas para o estado do Acre, demonstrando grande aptidão para a prática de birdwatching, tanto pela alta riqueza de espécies quanto em relação às características atrativas ressaltadas pelos participantes da pesquisa, com destaque para o canto, cores e formas como características mais atrativas.
“Vamos passear no bosque”: avaliação de visitas monitoradas ao Bosque Rodrigues Alves, Belém (PA)
Authors: Mendes Fabrício Lemos de Siqueira , Hamoy Juliana Azevedo , Barbosa Helena Doris de Almeida
Published: November 2024

Parques urbanos são excelentes espaços para o desenvolvimento de atividades com a natureza, mas carecem de recursos humanos por conta, em geral, de sua dimensão. Essa carência interfere na orientação e condução dos visitantes, que tendem a finalizar suas visitas sem informações ou mesmo mal-informados sobre o local visitado. Projetos de extensão de instituições de ensino superior, como o Visita Monitorada em Parques Urbanos da Grande Belém (PA) (VMPU), visam suprir essa lacuna. Oriundo da Faculdade de Turismo, da Universidade Federal do Pará (UFPA), e atualmente desenvolvido no Bosque Rodrigues Alves – Jardim Zoobotânico da Amazônia, localizado no centro da cidade de Belém (PA), o projeto enfoca a zoologia e a botânica amazônica, buscando incentivar visitas monitoradas de qualidade aos parques urbanos e, conjuntamente, valorizar seu patrimônio. O objetivo deste trabalho é avaliar as ações do projeto e o desempenho de seus monitores. Para tanto, foram convidados discentes do curso de Bacharelado em Turismo da UFPA para uma visita monitorada e, ao fim da trilha, foi aplicado um questionário com perguntas fechadas, posteriormente tabuladas e analisadas. Os resultados apontam para a preferência por esse tipo de visitas, tendo o monitor apresentado bom desempenho durante a trilha. Os entrevistados destacaram a importância do monitor, pois a maioria deles já havia visitado o mesmo parque urbano, mas as informações então prestadas contribuíram para o entendimento da biodiversidade amazônica. Logo, os parques urbanos são importantes ambientes para a interação com os recursos naturais, porém a presença de monitores nesses locais, com conhecimento adequado para a condução dos visitantes, revelou-se imprescindível para que a visita não se limite à contemplação da natureza.
Classification of Foods Based on Nutritional Content Using K-Means and DBSCAN Clustering Methods
Authors: Nurulhikmah Fitria , Abdi Deden Nur Eka
Published: November 2024

This study classifies foods based on their nutritional content using K-Means and DBSCAN clustering methods. The clustering quality was evaluated using the Davies-Bouldin Index (DBI) and Silhouette Score. K-Means was tested with different k values, while DBSCAN was analyzed with varying min_samples parameters. Additionally, a function was developed to group foods into three categories: Weight Gain, Obesity Prevention, and Weight Loss, based on calories, protein, fat, and carbohydrate content. The results show that K-Means is more effective than DBSCAN in clustering foods by nutritional content, yielding lower DBI values and higher Silhouette Scores. For example, K-Means with k = 3 achieved a DBI of 0.694930 and a Silhouette Score of 0.538921, while DBSCAN with eps = 0.75 and min_samples = 4 produced a DBI of 0.34546577 and a Silhouette Score of 0.492830814. This study concludes that K-Means provides superior clustering performance, enabling more specific dietary recommendations tailored to individual nutritional needs.
Coloring Pekalongan Batik Using a Madura Dataset: A Comparative Study of GAN and Caffe-Based CNN Models
Authors: Wahyudi Muhamad Machrus Ali , Kurniawati Arik , Damayanti Fitri , Purnawan I Ketut Adi
Published: November 2024

Madura Batik, as one of Indonesia's valuable cultural heritages, is known for its unique characteristics involving the use of bright colors such as red, yellow, and green, as well as traditional motifs that often feature elements of nature like flowers, leaves, and animals. Each motif in Madura Batik reflects the rich philosophy, values, and stories of Madura culture. This batik is also famous for its production process, which is largely carried out manually using traditional dyeing techniques. However, with the advancement of technology, there is a growing need to integrate technological innovations into the batik dyeing process without losing its traditional essence. This research combines Generative Adversarial Networks (GAN) models and compares them with Caffe-based pretrained Convolutional Neural Networks (CNN) to create new color variations in Pekalongan batik images. The input for the models is grayscale batik images, which are then processed to generate colorful outputs. The dataset used consists of 519 Madura batik images, with a distribution of 80% for training, 20% for validation, and 10 images for testing. The preprocessing process includes resizing, normalization, and batching to accelerate model convergence. Performance evaluation is conducted using FID, MSE, PSNR, and SSIM metrics. The results show that the GAN model with 100 epochs produces better image quality compared to the Caffe-based pretrained CNN model, particularly in terms of visual and structural similarity. In conclusion, the GAN method offers great potential for innovation in batik coloring without compromising its traditional motifs.
ПРИМЕНЕНИЕ МНОЖЕСТВЕННОГО ЛИНЕЙНОГО РЕГРЕССИОННОГО АНАЛИЗА В ЗДРАВООХРАНЕНИИ С ИСПОЛЬЗОВАНИЕМ ПАКЕТА СТАТИСТИЧЕСКИХ ПРОГРАММ SPSS
Authors: Е.Е. Шарашова , К.К. Холматова , М.А. Горбатова , А.М. Гржибовский
Published: November 2024

В данной статье представлены теоретические основы проведения множественного линейного регрессионного анализа для прогнозирования значения одной зависимой количественной переменной на основании нескольких независимых при использования пакета прикладных статистических программ SPSS, описаны принципы интерпретации полученной информации на практическом примере, а также обозначены основные проблемы, возникающие при использовании этого метода и предложены варианты их решения.

In this article we present theoretical basis for conducting multivariable linear regression analysis for predicting the one dichotomous outcome based on several independent variables using the SPSS software. The article describes the principles of interpretation of the results using practical examples. We also describe advantages and disadvantages of this type of analysis

Осы мақалада SPSS қолданбалы статистикалық бағдарламаларды пайдалану кезіндегі бірнеше тәуелсіздер негізінде бір тәуелді сандық ауыспалының мәнін болжау үшін көпшілік сызықтық регрессивтік талдауды өткізудің теориялық негіздері берілген, тәжірибелік мысалда алынған ақпаратты интерпретациялары принциптері көрсетілген, сол сияқты осы әдісті қолдану кезінде шыққан негізгі мәселелер анықталды және оларды шешудің нұсқалары ұсынылған.
Текущее состояние методического аппарата контроля обеспеченности потребителей сервисами беспроводной связи в действующих нормативно-правовых актах РФ
Authors: С.И. Лопато
Published: November 2024

Представлен обзор требований к наличию, доступности и качеству сервисов беспроводной связи, содержащихся в действующих нормативно-правовых актах Российской Федерации и необходимых в качестве исходных данных для методик оценки текущей обеспеченности потребителей телекоммуникационными сервисами. Приведен анализ полноты указанных характеристик и требующихся к ним дополнений.

The article provides an overview of the requirements for the availability, accessibility and quality of wireless communication services contained in the current regulatory legal acts of the Russian Federation and necessary as input data for methods of assessing the current availability of telecommunications services to consumers. The analysis of the completeness of these characteristics and the additions required to them is given.
Реализация совместного автовыбора антенн и прекодирования в системах связи Massive MIMO
Authors: В.Б. Крейнделин , М.В. Голубев
Published: November 2024

Совместный с прекодингом автовыбор антенн на приемной и передающей стороне – одно из перспективных направлений исследований для реализации подходов Multiple Transmission Receiving Points (Multiple TRP) в системах Massive MIMO, активно развивающихся в стандарте 5G. Предложенный алгоритм позволяет эффективно использовать обратную связь от приемника за счет анализа путей распространения и использования прекодирования на передающей стороне. Алгоритм обладает потенциалом к снижению вычислительной сложности при учете времени когерентности канала или модификации порогов перевыбора антенн.

Joint precoding and antenna selection on the receiving a nd transmitting is one of the promising areas of research for implementation of Multiple Transmission Receiving Points(Multiple TRP)approaches in Massive MIMO systems, which are actively developing in 5G networks. The proposed algorithm makes it possible to effectively use feedback from the receiver by analyzing propagation paths and using precoding on the transmitting side. Proposed algorithm has potential tradeoffs between performance and computational complexity which is subject for further research.
Исследование конфигураций нейросетевых кодеков для адаптивной системы сжатия кадров FPV-видеопотока при управлении беспилотными системами. Часть I. Методика
Authors: А.А. Березкин , А.А. Ченский , Р.В. Киричек , А.А. Захаров
Published: November 2024

В данной работе исследованы различные конфигурации нейросетевых кодеков, разработанных на основе вариационных автокодировщиков вида VQ и KL (VQ-f4, VQ-f8, VQ-f16, KL-f4, KL-f8, KL-f16, KL-f32) из состава моделей Stable Diffusion на предмет возможности их использования для сжатия кадров видеопотока при FPV-управлении беспилотными системами. В первой части статьи обобщаются результаты исследований сжатия и квантования латентных пространств вариационных автокодировщиков, представляется модификация нейросетевого кодека, наборы данных и рассматривается методика экспериментов.

In this work we investigate different configurations of neural network variational autoencoders of VQ and KL types (VQ-f4, VQ-f8, VQ-f16, KL-f4, KL-f8, KL-f16, KL-f32) from the Stable Diffusion models for the possibility of their use for video stream frame compression in FPV control of unmanned systems. The first part of the paper summarizes the results of studies of compression and quantization of latent spaces of variational autoencoders, presents a modification of neural network codec, data sets and discusses the methodology of experiments.