bluuebunny/crossref_metadata_2025_split huggingface dataset:
The whole process control algorithm of inflatable dustproof shed construction in substation engineering based on graph neural network
Authors: Song Kun , Li Shuai , Zhang Ou , Wu Xuefeng , Jiang Xue 
Published: December 2024

Abstract
During the construction of an inflatable dust-proof shed in substation engineering, it is one of the key issues in power system research to use scientific whole-process control algorithms to complete substation engineering decisions. At present, the control algorithm has some problems, such as low control accuracy and poor convergence speed. Therefore, the whole process control algorithm of inflatable dust shed construction in substation engineering based on a graph neural network is proposed. The control indexes of the whole process of inflatable dust-proof shed construction in substation engineering are divided into the highest level, the middle level, and the lowest level. The discriminant matrix is established to obtain the single-factor fuzzy evaluation matrix of the middle-level index. Thus, the control indexes are constructed. According to this index, the basic operation flow of the graph neural network is constructed, the objective function of the graph neural network is set, the control steps of the whole process of inflatable dust-proof shed construction in substation engineering is analyzed, and the algorithm research is realized. The experimental results show that the convergence steps are greatly reduced, the control accuracy is high, and the convergence speed is significantly improved after applying the algorithm proposed in this paper.
Multi-source heterogeneous data self-organizing mapping fusion method of distribution network based on gravitational search algorithm
Authors: Zhang Xixiang , Meng Qi , Tan Qiwen 
Published: December 2024

Abstract
As a self-organizing mapping fusion method for multi-source heterogeneous data in distribution networks based on the GSA algorithm, efficient fusion is achieved through knowledge clustering and self-organizing iteration. Experiments have shown that when the running time is less than five seconds, the tracking error is precise, and the fusion effect is significant.
Design and implementation of a simple quadruped robot
Authors: Huang Zhe , Cui Yuanhui , Liang Sitong , Liu Zhao 
Published: December 2024

Abstract
This paper designed a quadruped bionic robot control system based on STM32. Through the control module, execution module, and sensor module, precise control of the robot’s movements and posture was achieved. A posture feedback control algorithm ensured the adjustment speed of the torso. The hardware part was centered around the STM32 microcontroller, with the control circuit designed to integrate various communication interfaces such as UART and Ethernet. The QT5 software was used for simulation, analyzing the quadruped robot’s adaptability and stability during movement through the motor’s torque and angle output parameters, providing both theoretical and practical foundations for optimization and integration in real-world applications.
Robust spatial changes in climate classes: insights from bias-corrected CMIP6 models across Chile
Authors: Vásquez Nicolás A , Mendoza Pablo A , Lagos-Zuñiga Miguel , Scaff Lucía , Muñoz-Castro Eduardo , Vargas Ximena 
Published: December 2024

Abstract
The climate in Continental Chile is marked by strong latitudinal and elevation gradients, exacerbated by diverse geographical features, such as the Andes. Despite previous studies projecting warmer and dryer conditions for most of the territory, there is concern about the robustness (i.e. level of agreement among models) of changes projected for its magnitude, not only for the impact on climate indices across this domain but also to identify changes in the spatial distribution of climate classes. Hence, we statistically downscaled and bias-corrected daily CMIP6 model outputs for continental Chile, using a multivariate bias correction method, to project climate changes under the SSP5-8.5 scenario. The results reveal that General Circulation Models (GCMs) project increased dryness across the study domain by the end of the 21st century, especially in Central Chile (−30% in precipitation), with notable sensitivities of precipitation projections to the implementation of bias correction methods in the northern and austral macrozones. Temperature projections show less dispersion, with higher increments in northern Chile and the Andes (4 ∘C–5 ∘C). Notable shifts in the extension of Köppen–Geiger climate classes are projected for the next decades, with the expansion of deserts in northern Chile and the prevalence of temperate climates with dry summers in central Chile. The Andes subdomain is expected to face the most dramatic changes in Köppen–Geiger classes (inter-model agreement

>

70%). Surprisingly, despite the large spread in GCM projections, there is high agreement among models regarding spatial changes in climate classes. Additionally, our results project drastic reductions in snowfall across the Andes, with higher freezing level heights that may exacerbate flooding and landslide risk across the country.
Washed away: industrial capital, labor, and floods
Authors: Sugathan Anish , Shah Arpit , Malghan Deepak 
Published: December 2024

Abstract
This study quantifies the dynamic impacts of floods on industrial capital and labor in India using a novel dataset combining geocoded flood events with firm facility-level data from 2000 to 2021. Employing a stacked difference-in-differences approach with carefully matched controls, we uncover persistent negative effects of floods on firms’ assets and employment, with striking heterogeneity across sectors and regions. In the post-flood period, we estimate declines from mean values in total assets of 46.1% (16.68 billion INR ≈ 225 million USD), employment of 49.0% (8.20 thousand workers), and the wage bill of 74.5% (5.52 billion INR ≈ 74 million USD). The sectoral impacts are highly varied: the information technology and communication, manufacturing, and utilities sectors experience significant declines in assets, while the financial services sector exhibits growth. Mapping the spatial distribution of flood events and industrial facilities reveals pronounced regional heterogeneity in flood exposure and economic impacts. Adding nuance to the empirical investigation of the ‘creative destruction’ hypothesis, we find limited evidence of systematic capital reallocation toward better-performing sectors, suggesting instead that floods generate sector-specific impacts with varying recovery patterns. These findings challenge assumptions of rapid post-disaster equilibration and have important implications for policymakers and firm managers in developing sector-specific strategies to mitigate the adverse impacts of floods in an increasingly climate-uncertain world.
International sanctions and food security: from the perspective of import dependency and environmental sustainability
Authors: Liu X M , Qiu H J 
Published: December 2024

Abstract
Agricultural import trade plays a substantial role in ensuring food security and Sustainable Development Goals; however, its effectiveness under the impact of international sanctions remains unclear, particularly regarding the inherent conflict between reducing import dependency and protecting domestic environmental sustainability. This study utilizes global agricultural trade and sanctions data from 2000 to 2019 to empirically investigate the impact of sanctions and uncover its specific internal mechanisms. The findings reveal that sanctions have reduced the import dependency of sanctioned countries by about 6% on average. Notably, improving domestic production in sanctioned countries is instrumental in mitigating the adverse effects of sanctions on food security, but it increases the emissions of CH4, N2O, biomass burned and the use of fertilizer and pesticide, which destroys the domestic environmental sustainability. These results imply that reducing import dependency on external markets improves the ‘availability’ and ‘stability’ of food security without sacrificing ‘agency,’ but it exacerbates ‘access,’ ‘utilization,’ and ‘sustainability.’ These findings are significant for proactively addressing and alleviating the impact of sanctions on agricultural sustainable development.
Influence of Balinese palm fiber and additives on concrete’s compressive and tensile strengths
Authors: Astariani Ni Kadek , Sudika I Gusti Made , Wirawan I Wayan Agus 
Published: December 2024

Abstract
Concrete is a material that has an important role in the world of construction. Concrete has high compressive strength but low tensile strength, so this research proposes the addition of Balinese palm fiber and damdex to improve the mechanical properties of the concrete. In this study, Balinese palm fiber was used at 2% of the cement weight with fiber lengths of 1 cm (BS1), 2 cm (BS2), and 3 cm (BS3). Meanwhile, damdex additives are used at 2% of the cement weight. The test object used was a cylinder measuring 15 cm x 30 cm, and the test was carried out at the age of 14 and 28 days with a slump value ranging from 7.5-10 cm. The mixture design was carried out using the SNI 7656:2012 method, where each variation of the mixture was made into 5 test objects, so that in total there were 80 test objects. There are 2 (two) mechanical property tests carried out, namely compressive strength and split tensile strength tests of concrete. From the test results at 28 days, normal concrete (BN) obtained a compressive strength of 29.95 MPa and a split tensile strength of 1.97 MPa. Meanwhile, for each variation, the concrete compressive strength results were 34.48 MPa (BS1), 32.44 MPa (BS2), 31.31 MPa (BS3). Meanwhile, the split tensile strength of concrete is 2.09 MPa (BS1), 2.38 MPa (BS2), and 2.73 MPa (BS3). From the test results it can be seen that adding 2% Balinese palm fiber and damdex gives better results than normal concrete, and provides the benefit of increasing the compressive strength and splitting tensile strength of the concrete.
Evaluation of Trans Metro Pekanbaru public transport bus performance and services for sustainable mobility
Authors: Prakasa Rizqy Ridho , Nugroho Soewignjo Agus , Audah Safridatul , Rhoma Putra Benny Hamdi 
Published: December 2024

Abstract
The city of Pekanbaru is the capital of Riau Province with a relatively high rate of population growth, migration and urbanization. Population growth based on BPS data from Pekanbaru City in 2023 is 1.30%, where the growth that increases every year is directly proportional to the condition of increasing use of private transportation has exceeded the capacity of the road. Based on data from the Pekanbaru Transportation Agency in 2023, the number of daily users of Trans Metro Pekanbaru public transportation is only 0.44% of the total population, this shows that interest in using public transportation in Pekanbaru City is still very low, while on the other hand, congestion and air pollution are increasing due to the use of private transportation. The purpose of this study is to determine the performance level of Trans Metro Pekanbaru with a performance evaluation method that is guided by the technical assessment standards of bus performance in accordance with SK.687/AJ.206/DRJ/2002 concerning the implementation of public transportation issued by the land transportation office. The results of the evaluation of the performance evaluation assessment of Trans Metro Pekanbaru obtained a range weight value for weekends and weekdays of 14-16 including the currently category. In addition to the level of performance to increase interest and the public in using Trans Metro Pekanbaru, a survey and analysis of service levels were also carried out using the Customer Satisfaction Index (CSI) method. Meanwhile, the level of service was obtained through the results of a passenger questionnaire survey in the field which was then analyzed using the Customer Satisfaction Index (CSI) method. The results of the service level with the CSI method obtained for Trans Metro Pekanbaru are 86% which can be interpreted as very satisfied with the service level of Trans Metro Pekanbaru.
Potential of composting food waste using sheep and bat manure with open windrow method at IPB Darmaga Campus
Authors: Wijayanto Shahia Awliya , Febrita Joana 
Published: December 2024

Abstract
Institut Pertanian Bogor (IPB) is one of the educational institutions in Indonesia that also has a role in generating solid waste. Food waste production amounted to 379.55 kg per day from the total amount of solid waste at IPB Darmaga Campus. Food waste that is only collected at the Cikabayan Sorting House and not processed further can pollute the environment. Therefore, processing with composting is needed. The research aims to analyze the characteristics and quality of compost, determine the best composition of compost, and analyze the potential in reducing food waste at IPB Darmaga Campus from processing food waste with a mixture of animal manure (sheep and bats) and Bio-Hara Plus activator. Composting was carried out aerobically with the open windrow method for eight weeks. Six compost variations were made with the addition of materials in the campus environment that were given the same treatment. The results showed that the characteristics and quality of compost such as colour, volume, temperature, pH, moisture content, C-Organic, N-Total, and C/N ratio were in accordance with SNI 19-7030-2004. The best compost quality was found in variation F3 and F1 (four and eight weeks) and potential to reduce 4% (F3) and 43% (F1) food waste at IPB Darmaga Campus.
Bioconversion of Horeca (Hotel, Restaurant and Catering) Food Waste into Black Soldier Fly Larvae Oil
Authors: Nisa Aulia , Yuwono Arief Sabdo 
Published: December 2024

Abstract
Horeca Food Waste is waste from the hotel, restaurant and catering sectors. The hotel industry generates 0.8-1.2 kg of food waste per guest. A bioconversion process can be used as a technique for treating food waste. The oil content of BSFL constitutes 35-45% of their whole weight. Research must be conducted on the bioconversion of horeca food waste (from hotels, restaurants, and catering) into oil derived from black soldier fly larvae. The study utilised horeca waste bioconversion to investigate environmental parameters, analyse the bioconversion properties of food waste, extract BSF larvae oil by the maceration technique, and evaluate the physicochemical attributes of the obtained oil. The bioconversion qualities of food waste by black soldier fly larvae were assessed by determining the values of D (waste reduction rate), WRI (Waste Reduction Index), FMCR (Fresh Matter Consumption Rate), DMCR (Dry Matter Consumption Rate), DMR (Dry Matter Reduction), and ECD (Efficiency of Conversion Digested feed). The fat content recovered from BSFL was measured at 35.9%, 34.9%, and 24.5%. The oil yield obtained from horeca waste was determined to be 18.9%, 18.3%, and 20.4%. The physicochemical characteristics acquired from the three samples indicated that the water content, iodine, saponification, and refractive index parameters did not meet the specified quality standards. The oil’s fatty acid composition was primarily composed of saturated fatty acids (SFA), with respective values of 66.24%, 72.63%, and 66.89%. BSF larvae oil has potential as an intermediate product for making bio-diesel, bio-lubricants and bio-grease.
Modification of Flood Hazard Assessment in Pemaluan River: Case Study of Pemaluan Village, Penajam Paser Utara Regency
Authors: Handyastono B , Nugroho E O , Kasim M R S , Fachri F J , Rianto A , Hazmi M 
Published: December 2024

Abstract
Flooding occurs when river water overflows its channel or inundates low-lying areas without adequate drainage. Heavy rainfall, reduced drainage or river capacity, topography, land use change and tidal influence are all factors that cause flooding. The socio-economic and developmental impacts of this disaster in Indonesia are significant. One of them is in Sepaku District, Penajam Paser Utara Regency, East Kalimantan Province. The Sanggai Watershed is a watershed located in Penajam Paser Utara Regency, East Kalimantan Province, where there is an area that has been designated as the new National Capital to replace Jakarta. The Sanggai watershed has 7 (seven) rivers that flow into Balikpapan Bay, namely Trunen, Semuntai, Sanggai, Sepaku, Semoi, Pemaluan, and Baruangin. Pemaluan Sub Watershed, with an area of 124.43 km2 is in the Sanggai Watershed and is drained by the Pemaluan River. The Pemaluan River often experiences flooding due to high rainfall intensity, long rain duration, low culvert capacity, river narrowing and the absence of an adequate drainage system that inundates residential areas, provincial roadside areas resulting in environmental, community and economic losses. Especially in terms of flood management, the above problems need attention. Since there is no previous research that discusses flood hazard assessment in the area, this study aims to conduct a flood hazard assessment with an approach that emphasizes inundation review in detail quantitative flood hazard classification with flood hazard mapping, flood inundation will be simulated with 2D flow area and unsteady flow data availability using HECRAS 6.5 software. Referring to the NADM parameter criteria with a high category which has an area of 6.22 Km2, while in MPWH with a very high category which has an area of 3.46 Km2.
Hydraulic simulation on the extensification area of the Katingan I swamp irrigation area, Central Kalimantan Province
Authors: Pranata Riko , Pratiwi Endita Prima Ari , Jayadi Rachmad 
Published: December 2024

Abstract
The Katingan I Swamp Irrigation Area (DIR Katingan I) is projected as one of the Food Estate areas in Indonesia. The food sector development program at DIR Katingan I has been implemented since 2021 through the Strategic Irrigation Modernization and Urgent Rehabilitation Project (SIMURP) programs, including extensions of irrigation networks and structures. This study aims to evaluate flow patterns in DIR Katingan I, particularly in the extensification areas with higher elevation than the existing area and has not undergone the leaching processes. The flow pattern of the macro irrigation system is modelled and simulated using Hydrologic Engineering Center’s River Analysis System (HEC-RAS) 6.4.1 software. The modelling is based on channel geometry data and water level elevation recorded in the Katingan River as a downstream boundary condition. Calibration with measured data in the primary channel resulted in a Manning’s coefficient of 0.03, closest to field conditions (R = 0.81, error = 6.63%). Simulation results show that without control structures, the flow in the irrigation network cannot reach the extensification area with the elevation above +3.9 m. Additionally, the primary channels function as a supply channel and the collector channel as a drainage channel cannot be achieved, allowing water from the leaching process to re-enter the rice fields. Thereafter, it is recommended to operate control structures so that the flow can reach the entire extensification area and the supply and drainage flows can be completely separated. Thus, leaching intensity is expected to increase and the soil ripening process will occur more quickly.
A comparative analysis of rainfall data from IMERG early run and ground-based rain gauges on Bali Island
Authors: Aryastana Putu , Yujana Cokorda Agung , Candrayana Kadek Windy 
Published: December 2024

Abstract
Ground-based precipitation measurements encounter challenges in various parts of Bali due to the limited number of gauge stations. Therefore, it is essential to identify dependable alternatives like satellite-derived precipitation data, which offer continuous precipitation time series with high spatial resolution. This study assessed the effectiveness of near real-time global satellite precipitation products, specifically the Integrated Multi-satellite Retrievals for Global Precipitation Measurement-Early Run (IMERG-E) compared to gauge data from 43 stations across Bali Province. To evaluate IMERG-E datasets, traditional point-to-pixel comparison techniques were employed, alongside statistical metrics including correlation coefficient (CC), mean absolute error (MAE), relative bias (RB), and Nash-Sutcliffe efficiency (NSE). The comparative analysis showed that the daily IMERG-E dataset performs moderately well, as evidenced by weak to moderate correlation and low MAE. IMERG-E showed evidence of underestimating rainfall, as indicated by the RB value. Conversely, IMERG-E demonstrates poor accuracy according to the NSE value. It is necessary to explore effective correction methods for IMERGE-E to establish it as a viable alternative data source.
Land subsidence analysis of Bogor City with DInSAR (Differential Interferometric Synthetic Aperture Radar) technique
Authors: Nur’Aini Atikah , Purwanto Moh. Yanuar Jarwadi , Syafiudin Moh. Fifik , Sapei Asep , Arif Chusnul 
Published: December 2024

Abstract
Urban development in various sectors such as industry, economy, transportation, and other sectors naturally increases the risk of flooding and inundation followed by land subsidence. The process of subsidence that occurs slowly and unnoticed tends to increase the possibility of various losses. Through this research, the pattern of land subsidence and its correlation with population density and land use will be obtained. This research uses C-band data from COMET-LiCS and a concentric ring-shaped deformation fringe pattern. Based on the research that has been conducted, the results of the calculation of land subsidence rates show an upward trend in the last 5 years (2019 - 2023) with the highest decline reaching 7.98 cm/year in 2023 in West Bogor. The rate of subsidence that occurs is also not greatly influenced by population density in Bogor City, especially West Bogor District but forms a land use pattern that tends to be dominated by residential areas. This can occur due to building loading factors, groundwater exploitation, natural factors, and other human activities.
Integration of Building Information Modelling (BIM) for Cultural Preservation in Infrastructure Development in Bali, Indonesia
Authors: Dwijendra Ngakan Ketut Acwin , Desak Ayu Krystina Winastri K , Dewa Ngakan Made Bagus Krishna K 
Published: December 2024

Abstract
This study investigates the integration of Building Information Modelling (BIM) for cultural preservation in infrastructure development in Bali, Indonesia. The primary aim is to analyze how BIM can design buildings harmonizing with the environment while preserving traditional architectural elements. The research employs a mixed-method approach involving qualitative interviews and quantitative questionnaires, targeting 30 infrastructure and building projects in Bali, divided equally between those utilizing BIM and those that do not. This study’s comparison between BIM and non-BIM systems was based on several critical indicators: energy efficiency, resource management, construction waste reduction, and cultural preservation scores. The findings indicate that BIM significantly enhances energy efficiency, resource management, and the documentation and preservation of cultural elements. Specifically, projects employing BIM demonstrated a 15% reduction in energy consumption and a 20% reduction in construction waste compared to non-BIM projects. Furthermore, BIM-enabled projects scored higher in cultural preservation, with an average score of 4.2 out of 5, versus 3.5 out of 5 for non-BIM projects, with these differences being statistically significant (p < 0.05). These results underscore BIM’s potential as a critical tool in promoting sustainable development and cultural preservation in Bali.