bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sustainable construction materials: a bibliometric analysis of research on bauxite residues utilization in artificial aggregate production
Authors: Meilasari Fitriana , Warmadewanthi IDAA , Trihadiningrum Yulinah , Ekaputri Januarti Jaya 
Published: December 2024

Abstract
The significant increase in aggregate demand drives the development of sustainable alternatives from waste materials to address environmental concerns and construction material availability. The complexity of artificial aggregates and advancements in construction materials necessitates a systematic mapping of scientific developments, exploration of state of the art, and projection of research trends to avoid research replication and repetition, optimizing the allocation of research resources. Bibliometric analysis emerges as one of the effective methods to map the evolution of research in this field, revealing the intellectual structure and collaboration networks within the scientific community. This study aims to map and analyze the development of artificial aggregate research, particularly the utilization of bauxite residue, through bibliometric analysis. The research examined Scopus-indexed documents over the past two decades using bibliometric methods. Analysis results revealed rapid development in artificial aggregate research, with a significant increase in publications and diversification of topics. However, studies on utilizing bauxite residue as artificial aggregate remain limited, comprising only about 5% of artificial aggregate research data collected. This finding underscores the need for further research into bauxite waste utilization because of its substantial development potential research. Thematic mapping indicated the dominance of construction materials and sustainability, reflecting a paradigm shift towards environmentally friendly construction practices. Geographical analysis revealed artificial aggregates research globally distributed, encompassing 64 countries, with a significant concentration in China and India. International research collaboration is crucial for driving innovation in sustainable construction, particularly utilizing bauxite waste as artificial aggregates.
Chitosan-Titanium Dioxide Nanoadsorbent for Cd(II), Cu(II), Ni(II) and Pb(II) Ions: Adsorption Isotherm and Characterization Studies
Authors: Abdulrasool Mustafa M. , Kamari Azlan , Wong Siew Tin Susana , Abdullah Nurul Nabila Aini , Bakar Norlaili Abu , Ahmad Wan Haslinda Wan , Yusof Norjan , Wayan Sutapa I. 
Published: December 2024

Abstract
The application of nanotechnology in water treatment is predicted to continue to grow in coming years, worldwide. Environmental scientists are currently focusing on development of cost-effective and eco-friendly nanoadsorbents, nanomembranes, nanofilters and nanophotocatalysts to treat contaminated water. In this research work, chitosan-titanium dioxide (Cs-TiO2) nanocomposite was prepared using a simple one-step method. The physicochemical properties of nanocomposite were studied using spectroscopy and microscopy techniques. The consequences of experimental parameters on adsorption performance of Cs-TiO2 for Cd(II), Cu(II), Ni(II) and Pb(II) metal ions were studied in details. The Langmuir model fitted the adsorption isotherm very well with correlation coefficient values of R
2 > 0.99. The separation factor (R
L) values were in the range of 0-1.0 for all metal ions studied, suggesting the adsorption activity was favorable. The maximum adsorption capacities (Q
max) of Cs-TiO2 for Cd(II), Cu(II), Ni(II) and Pb(II) metal ions were determined as 133.33, 416.67, 151.51 and 277.78 mg/g, respectively. From Fourier Transform Infrared (FTIR) spectra, the appearance and wavenumber of absorption bands for functional groups of Cs-TiO2 changed and shifted after adsorption of metal ions. The X-ray Diffraction (XRD) spectroscopy and Scanning Electron Microscopy (SEM) analyses revealed the change in crystallinity and surface morphology after interaction of Cs-TiO2 with metal ions studied. Overall, findings obtained from this research work highlight the feasibility of Cs-TiO2 as a nanoadsorbent for the treatment of water contaminated by toxic Cd(II), Cu(II), Ni(II) and Pb(II).
Observational constraint on momentum flux-gradient relationships reduces modeling biases of PBL mixing of particles in urban area
Authors: Yang Qike , Zhao Chun , Yuan Renmin , Yang Zining , Du Qiuyan , Xu Mingyue , Li Yubin , Xia Kaihui 
Published: December 2024

Abstract
The momentum flux-gradient relationships within the urban roughness sublayer deviate from the classical relationships proposed by the Monin-Obukhov similarity theory. Despite this discrepancy, prevailing atmospheric models persistently rely on these classical relationships, which were originally derived from natural, homogeneous surfaces. This practice may introduce significant errors when simulating urban atmospheric pollution. This study utilized meteorological parameters and turbulent fluxes obtained from field measurements in the urban roughness sublayer to re-establish momentum flux-gradient relationships. Compared to non-urban areas, the flux-gradient relationships in the urban environments exhibit significant deviations under stable conditions. Consequently, we revised a planetary boundary layer parameterization to incorporate new urban flux-gradient relationships. The revised scheme was implemented in the WRF-Chem model, and the simulation results demonstrated a marked reduction in modeling biases under stable conditions, particularly for relatively developed cities in Eastern China.
Using AI to assess corporate climate transition disclosures
Authors: Colesanti Senni Chiara , Schimanski Tobias , Bingler Julia , Ni Jingwei , Leippold Markus 
Published: December 2024

Abstract
Company transition plans toward a low-carbon economy are key for effective capital allocation and risk management. This paper proposes a set of 64 indicators to comprehensively assess transition plans and develops a Large Language Model-based tool to automate the assessment of company disclosures. We evaluate our tool with experts from 26 institutions, including financial regulators, investors, and non-governmental organizations. We apply the tool to the sustainability reports from carbon-intensive Climate Action 100+ companies. Our results show that companies tend to disclose more information related to target setting (talk), but less information related to the concrete implementation of strategies (walk). In addition, companies that disclose more information tend to have lower emissions. Our results highlight the need for increased scrutiny of companies’ efforts and potential greenwashing risks. The complexity of transition activities presents a major challenge for comprehensive large-scale assessments. As shown in this paper, novel and flexible approaches using Large Language Models can serve as a remedy.
Spatial and temporal variations, and socioeconomic drivers of air quality: case study of the Beijing-Tianjin-Hebei urban agglomeration
Authors: Wang Weiqi , He Yufeng , Gao Jingran , Cao Lei , Ding Huanru , Liu Chenhui , Tang Hanqi , Chen Yanfei , Zhang Yunlu 
Published: December 2024

Abstract
Air pollution poses a serious threat to both economic development and public health in China’s heavily polluted Beijing-Tianjin-Hebei region.Realizing a win-win situation for social development and environmental well-being is a pressing issue.This study analyzed panel data from 199 districts in Beijing-Tianjin-Hebei from 2013 to 2020 using various regression models and found that air quality index values decreased by 48.2%. Spatially, the Beijing-Tianjin-Hebei Air Quality Index had a significantly positively correlated spatial correlation that increased over time. Second, energy consumption per unit of gross domestic product and the proportion of construction land had a positive effect on the AQI values of Beijing-Tianjin-Hebei. This implies that increasing energy consumption exacerbates air pollution, particularly in Baoding. Influenced by the urbanization process, the increase in the construction-land ratio was the most significant positive factor, notably in Baoding and Zhangjiakou. Third, there was a negative influence of Research and Development investment and total social retail sales on the Beijing-Tianjin-Hebei Air Quality Index. This finding indicated that increasing Research and Development investment will alleviate air pollution, with most of the counties in the study area benefitting. The collective findings indicate that more prosperous economic areas (such as Beijing and Tangshan) need to pay more attention to air pollution control and that air pollution in the Hebei cluster of heavy industries will be aggravated by the increase in total social retail sales. Based on these results, long-term measures for air pollution control in Beijing-Tianjin-Hebei should focus on reducing energy consumption, slowing urban expansion, and industrial restructuring.
Towards high loading cesium lead halide nanocomposites for radiation detection
Authors: Král Jan , Děcká Kateřina , Zabloudil Vojtěch , Liška Petr , Hájek František , Horák Michal , Čuba Václav , Mihóková Eva , Auffray Etiennette 
Published: December 2024

Abstract
Cesium lead halide nanocrystals (NCs) and their nanocomposites have attracted a lot of attention in the field of radiation detection thanks to their excellent luminescent properties, especially their potential for fast timing. However, most research on their nanocomposites focuses on low loadings (around 1 wt%) which is insufficient for detecting high-energy X-rays or γ-rays. There have been only few reports exploring materials with higher loadings but all with limited success in terms of transparency of the final material. In our work, we present nanocomposites of cesium lead halide NCs with loading up to 40 wt%. We employ innovative surface functionalization of the NCs to enhance their dispersion within the matrix, thereby improving the final material transparency. We display the NC dispersion within the matrix using confocal photoluminescence microscopy and we then characterise the radioluminescent properties of nanocomposites of cesium lead bromide (CPB) and cesium lead bromochloride NCs with varying chloride content. To asses their performance as radiation detectors, we measure their timing capabilities under X-rays. Our findings reveal a significant improvement in time resolution under X-rays from previously published 300 ps for CPB polymer nanocomposites to 215 ps. When combined with increased stopping power of high NC content, this advancement holds great promise for practical applications, e.g. in time-of-flight positron emission tomography and computed tomography or high energy physics.
Assessment of computational fluid dynamics simulation approach for the aerodynamic performance of small unmanned aerial vehicle propeller
Authors: Arafat Mohammad , Ishak Izuan Amin , Mohd Maruai Nurshafinaz 
Published: December 2024

Abstract
This study explores the complexities of UAV propeller aerodynamics by examining the influence of various parameters, including mesh resolutions, timestep sizes, iterations per timestep, and different Reynolds-Averaged Navier–Stokes (RANS) turbulence models, using Delayed Detached Eddy Simulation (DDES). Through extensive computational fluid dynamics (CFD) simulations, the aerodynamic performance of the propeller is analyzed under different conditions. Mesh resolutions from coarse to fine are evaluated, with Grid Convergence Index (GCI) and Richardson Extrapolation applied to ensure mesh-independent results. Timestep sizes ranging from 0.5° to 10° are also analyzed, revealing a trade-off between accuracy and computational efficiency. Furthermore, the study assesses the impact of different numbers of iterations per timestep and compares three distinct RANS turbulence models: k-ω SST, Spalart-Allmaras, and Realizable k-ε. The results show that finer mesh resolutions and smaller timesteps enhance accuracy in thrust and torque predictions. The k-ω SST model demonstrates the best balance between thrust generation and torque minimization, while the Spalart-Allmaras model underperforms in both categories. In addition, fewer iterations per timestep were found to be sufficient for convergence, reducing computational cost. Overall, this study provides a comprehensive evaluation of UAV propeller performance using CFD simulations.
Error source analysis and modeling of gear involute template processing device
Authors: Li Li , Xin Huang , Hongtao Yang , Ruikang Jin 
Published: December 2024

Abstract
Involute gear template is a standard measuring instrument for gear measurement. In order to ensure the high-precision calibration of gear measuring instruments, based on the structure of gear involute template processing device, the error source is analyzed in detail, and the error transmission model between each single error and the total deviation of template tooth surface is accurately established. On this basis, the simulation experiment is carried out, the primary and secondary influencing factors of the total deviation of the sample tooth surface are analyzed, and the comprehensive model of the total deviation of the sample tooth surface is established. In order to verify the correctness of the established error model, the numerical simulation experiments such as eccentricity error and guide rail error of the template are carried out by MATLAB, and the total deviation of gear involute template tooth surface is measured by inductance micrometer. The experimental results show that the eccentricity error of template installation, the deviation angle error of template, the assembly eccentricity error of double basic circular wheels, the ovality error of the working surface of basic circular wheels, and the micro-deformation error after wheel-rail contact are the main factors affecting the total deviation of template tooth surface. The precision of gear measuring instruments can be improved by accurately compensating each single error, which provides a theoretical basis for the precision improvement of gear involute template processing device.
Numerical investigation of glass laminate aluminium reinforced epoxy (GLARE) composite to impact loading
Authors: Shrivastava Kanupriya , Mishra Ashish 
Published: December 2024

Abstract
The aerospace industry is consistently in persistent need of lightweight materials for which, Fiber Metal Laminates (FMLs) have arisen as an innovative solution by combining the ductility of metals and strength of composites. Glass Fiber Aluminum Laminate (GLARE), a commonly used fiber metal laminate in aircraft structures, is often exposed to low-velocity impact incidents. A study of the dynamic response of GLARE under repeated low-velocity impacts is presented in the paper. The studied fiber metal laminate consists of two layers of glass fiber-reinforced plastics alternately sandwiched between three layers of aluminum 2024 alloy. A finite element (FE) model is developed, incorporating interface modeling, contact modeling, and failure considerations, validated against published experimental results. Four distinct impact energy scenarios are examined, comparing the damage patterns of GLARE composites concerning the precision and efficiency of the numerical model. The validated model is then utilized to explore the effect of impact of energy on energy absorption characteristics of GLARE. The analysis, conducted on ANSYS—AUTODYN software, contributes valuable insights for optimizing the design and structural considerations of GLARE in aerospace applications, particularly in situations involving repeated low-velocity impacts.
Dynamical systems and complex networks: a Koopman operator perspective
Authors: Klus Stefan , Djurdjevac Conrad Nataša 
Published: December 2024

Abstract
The Koopman operator has entered and transformed many research areas over the last years. Although the underlying concept—representing highly nonlinear dynamical systems by infinite-dimensional linear operators—has been known for a long time, the availability of large data sets and efficient machine learning algorithms for estimating the Koopman operator from data make this framework extremely powerful and popular. Koopman operator theory allows us to gain insights into the characteristic global properties of a system without requiring detailed mathematical models. We will show how these methods can also be used to analyze complex networks and highlight relationships between Koopman operators and graph Laplacians.
D-SELD: Dataset-Scalable Exemplar LCA-Decoder
Authors: Mahmoodi Takaghaj Sanaz , Sampson Jack 
Published: December 2024

Abstract
Neuromorphic computing has recently gained significant attention as a promising approach for developing energy-efficient, massively parallel computing systems inspired by the spiking behavior of the human brain and natively mapping spiking neural networks (SNNs). Effective training algorithms for SNNs are imperative for increased adoption of neuromorphic platforms; however, SNN training continues to lag behind advances in other classes of ANN. In this paper, we reduce this gap by proposing an innovative encoder–decoder technique that leverages sparse coding and the locally competitive algorithm (LCA) to provide an algorithm specifically designed for neuromorphic platforms. Using our proposed Dataset-Scalable Exemplar LCA-Decoder we reduce the computational demands and memory requirements associated with training SNNs using error backpropagation methods on increasingly larger training sets. We offer a solution that can be scalably applied to datasets of any size. Our results show the highest reported top-1 test accuracy using SNNs on the ImageNet and CIFAR100 datasets, surpassing previous benchmarks. Specifically, we achieved a record top-1 accuracy of 80.75% on ImageNet (ILSVRC2012 validation set) and 79.32% on CIFAR100 using SNNs.
Quasiregular distortion of dimensions
Authors: Chrontsios-Garitsis Efstathios-K. 
Published: December 2024

We investigate the distortion of the Assouad dimension and (regularized) spectrum of sets under planar quasiregular maps. The respective results for the Hausdorff and upper box-counting dimension follow immediately from their quasiconformal counterparts by employing elementary properties of these dimension notions (e.g. countable stability and Lipschitz stability). However, the Assouad dimension and spectrum do not share such properties. We obtain upper bounds on the Assouad dimension and spectrum of images of compact sets under holomorphic and planar quasiregular maps by studying their behavior around their critical points. As an application, the invariance of porosity of compact subsets of the plane under quasiregular maps is established.
The Market in Global International Society
Authors: Buzan Barry , Falkner Robert 
Published: December 2024

Abstract
This book examines the idea and practice of the market as a primary institution of global international society. Viewing the market as a political ideology in support of a liberal system of governance, and not just as an economic practice or economy-wide structural feature, draws attention to the market’s role as part of the normative structure of International Relations. The book tracks the emergence of the market as an international norm in the nineteenth century and explores its evolution up to the early twenty-first century. It explores the market’s international institutionalization and examines its wide-ranging interplay with other social and political institutions of international society. It also traces early forms of markets, from the fourth millennium bc up to the late eighteenth century ad, highlighting similarities and differences between premodern and modern conceptions of the market. With the help of this historical account, the book brings into close contact two areas of study that have for much too long stood back-to-back: the English School of International Relations (ES), and International Political Economy (IPE). For the ES, the book fills in the large economic gap in the understanding and portrayal of the primary institutions of international society. For IPE, the book develops a new and detailed approach to understanding the relationship between the market and other social and political institutions of global international society. The book thus builds a much-needed bridge between the ES and IPE and shows how each would benefit from paying more attention to the other.
International Political Economy and the Market in Premodern Societies
Authors: Buzan Barry , Falkner Robert 
Published: December 2024

Abstract
This chapter covers International Political Economy from the fourth millennium bc up to the late eighteenth century ad, stretching from the beginnings of urban civilization and empire to the transition towards global modernity. This was a period in which, until the last few centuries, there was no global international society and many of the primary institutions of international society were quite different from current ones. The chapter highlights the continuities and differences between this era, and the period since the nineteenth century. It seeks to clarify the precursors to the modern market, which were mainly about economic practice. It identifies the structures and dynamics of premodern political economy, and the distinctive ways in which the economic and political elites made mutually supporting bargains with each other. The discussion of norms and practices relating to the market is structured around the four economic functions of production, trade, finance, and labour.
The Long Nineteenth Century
Authors: Buzan Barry , Falkner Robert 
Published: December 2024

Abstract
This chapter explores the rise of the market as a primary institution of global international society in the nineteenth century. It traces the overthrow of the mercantilist system of political economy that had supported the dynastic system in Europe, based on a mixture of emergent liberal belief, and intensifying global economic competition with Britain. The chapter demonstrates how this European drama was later imposed on Africa and Asia, which had remained mostly in the more open trading regime of agrarian empires. It discusses the intellectual origins of the rise of economic liberal ideology, especially the new ways of thinking about economics that began to emerge in the eighteenth century, first in France and Britain but also in other parts of Europe. And it discusses the many challenges that liberalism’s rise encountered, especially in the form of mercantilist and economic nationalist ideas among late developing economies.
1973–2007: A Second Golden Age of the Market
Authors: Buzan Barry , Falkner Robert 
Published: December 2024

Abstract
This chapter explores the fourth phase in the story of the market as an institution of global international society, the three-decade revival of market ideology from 1973 to 2007. The chapter discusses the origins of the neoliberal revolution in the United States and Britain and its spread to the rest of the West and much of the Third World, and eventually even to China and the former Soviet Union. It shows that was not the bottom-up global market of the late nineteenth century, but one driven both by transnational ideational shifts and their extensive embodiment in a range of secondary institutions. Its global triumph came after the collapse of communism and the ending of the Cold War in the early 1990s. The chapter shows how market ideology became global in scale, and comprehensive in scope, during the 1990s, though still unevenly applied across the world.