bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Impact of Floods on the Mobility of Automobile Commuters in Shanghai Under Climate Change
Authors: Yao Qian , Shan Xinmeng , Li Mengya , Wang Jun 
Published: December 2024

AbstractAs sea level rises, low-lying coastal cites face increasing threat of flood disruption, particularly in terms of human mobility. Commuters are vulnerable to bad weather, as it is difficult to cancel trips even in extreme weather conditions. Using Shanghai’s automobile commuting population as an example, we categorized commuters by travel distance and income level to assess disruptions and delays due to floods, considering future sea level rise. The results show that local flooding disrupts commuting patterns by affecting roadways, with disruption decreasing with distance from the flooded area. This offers a mobility perspective on the indirect impacts of floods. During baseline flood events, long-distance commuters and the low-income group are most affected, while short-distance commuters and the high-income group are less impacted. As sea level rises, floods will threaten all commuting groups, especially the high-income group. Using inaccessibility-commuting delay bivariate maps, this study revealed how socioeconomic differences impact mobility recovery after floods under climate change. The research highlights the differential impacts of floods on various socioeconomic groups in the context of climate change, offering insights for future urban planning and disaster mitigation strategies.
The Impact of Tornadoes and Damaging Winds on County-Level Income Growth in the United States
Authors: Huesler Joel 
Published: December 2024

AbstractThis study investigated the economic impact of tornadoes and damaging winds on county-level income growth in the United States from 1969 to 2023. Using a fixed effect regression methodology, the analysis showed that an average damaging storm and an average tornado reduced income growth in the affected counties by 0.16–0.23% and 0.21–0.23%, respectively, translating into a one-time growth loss of approximately USD 5.6 million and USD 6.3 million. The findings also indicate that tornadoes have a 20% greater economic impact than damaging winds. This study underscored the unique challenges posed by tornadoes and damaging winds, which are characterized by their unpredictable nature and concentrated but extreme damage.
Adsorption of lead (II) in a single and multi-metal system by hydrochar from pulp and paper sludge
Authors: Nhambe P. , Patel B. , Leswifi T. Y. , Abdulsalam J. , Gardee N. 
Published: December 2024

AbstractLead (II) is one of the most toxic heavy metals found in South African wastewater due to various mining activities. Hence, effective and cheaper methods are needed to treat this wastewater before it is released to the environment. The effectiveness of hydrochar, synthesised from pulp and paper sludge, as an adsorbent for lead (II) removal from synthetic wastewater was determined. The effect of adsorbent dosage, solution pH, lead (II) initial concentration and time on the adsorption of lead by the hydrochar was investigated. The hydrochar was synthesised at 180, 220 and 250 °C. The most favourable hydrothermal carbonisation (HTC) temperature to synthesise pulp and paper sludge hydrochar for lead (II) adsorption was 180 °C based on the temperatures investigated. The hydrochar synthesised at 180 °C were modified with sodium hydroxide to improve its metal uptake. FTIR results showed that the NaOH modification increased the concentration of oxygen containing functional groups. Furthermore, the BET surface area of the hydrochar increased after modification. The hydrochar had a cellulose crystalline structure. The sodium hydroxide modification increased the maximum adsorption capacity from 24.72 to 37.32 mg.g−1. Moreover, the modified hydrochar synthesised at 180 °C (HC-180-NaOH) was effective in the adsorption of lead (II) in the presence of copper (II), cadmium (II) and zinc (II) where the affinity of the heavy metals towards the hydrochar was lead (II) > copper (II) > cadmium (II) ≈ zinc (II). Hence, the hydrochar, synthesised from waste material, is a potential adsorbent for the adsorption of lead (II) in industrial wastewater.
Graphical abstract
Computing Prominent Skyline on Massive Data
Authors: Wan Xiaolong , Han Xixian , Wang Jinbao 
Published: December 2024

AbstractIn many practical applications, skyline query is an important operation to return the pareto optimal tuples, which provides a candidate set for the optimum. On massive data, skyline often reports too many results, the users will be overwhelmed and be difficult to find the desired information easily. This paper devises P-skyline to reduce the size of the returned results. Given the approximation factor, P-skyline only generates the prominent skyline results by the definition of p-dominance. To the best of our knowledge, this paper is the first work to study P-skyline problem. This paper first proposes a baseline algorithm, which requires one full table scan to compute the results. It is found that baseline algorithm incurs a relatively high execution cost on massive data. Then, PSTP algorithm is proposed, which consists of two stages: candidate acquisition and refinement. On the presorted table, PSTP utilizes selective retrieval and selective checking to process P-skyline with much lower I/O cost and computation cost. The extensive experimental results, conducted on synthetic and real-life data sets, show that PSTP can compute P-skyline on massive data efficiently.
Die Konstruktion von Adressat:innenbildern in der präventiven Praxis
Authors: Mücke Marvin , Kiefer Michael 
Published: December 2024

Zusammenfassung
Neben einer intensiven wissenschaftlichen und sicherheitspolitischen Beschäftigung mit dem Phänomen des Islamismus hat sich seit Beginn der frühen 2010er-Jahre ebenfalls eine umfangreiche und vielfältige Landschaft der Radikalisierungsprävention entwickelt. Sowohl auf bundes- landes- als auch kommunaler Ebene sind beachtliche Anstrengungen unternommen worden, um eine effektive Radikalisierungsprävention zu etablieren. Während anfänglich aufgrund der Vielzahl unterschiedlicher Projekte noch von einem Wildwuchs in der Präventionsarbeit gesprochen wurde, hat sich mittlerweile die Präventionsarbeit zu einem bedeutsamen zivilgesellschaftlichen Handlungsfeld entwickelt (Ceylan und Kiefer 2018 und 2022). Im Sinne einer Begleitung dieser Entwicklung diskutiert der folgende Beitrag die Frage, wie Präventionsakteure Adressat:innenbilder in der präventiven Praxis im Bereich des religiös begründeten Extremismus konstruieren. Der Begriff der Konstruktion verweist dabei auf die erkenntnistheoretische Annahme, wonach Wahrnehmung und Erkenntnis vor allem als konstruktive und weniger als abbildende Tätigkeiten verstanden werden. Zur Beantwortung der Fragestellung wurden 18 teilstandardisierte Expert:inneninterviews mit Präventionsakteuren der sekundären und tertiären Präventionsebenen durchgeführt und inhaltsanalytisch ausgewertet. Da die in den Interviews dargestellten Beschreibungen von Adressat:innen und ihren Radikalisierungsprozessen dezidiert als kreative Konstruktionsleistungen der befragten Präventionsakteure verstanden werden, können die in diesem Beitrag vorgestellten Ergebnisse als Ausgangspunkte einer Reflexion der präventiven Praxis dienen.
Yuhuangmiao: the socio-cultural dynamics of a community between the steppes and the Chinese plains
Authors: Huan Limin , Brosseder Ursula 
Published: December 2024

AbstractThe Yuhuangmiao culture emerged around the 7th to the 4th centuries BCE in northeastern China near Beijing. The burial ritual with stone layers, numerous animal deposits, and the material culture indicate a strong steppe connection. It is often used to support the narratives in the Chinese historical texts that people living in the area had a distinctive lifestyle from those in the southern, agricultural-based communities and that the two groups often had a hostile relationship. Based on the cemetery of Yuhuangmiao, we focus in our case study on the socio-cultural dynamics over time in communities of a small region between the steppes and the Chinese Central Plains and in confrontation with very different neighbors to the south and the northwest. We use a seriation and correspondence-based approach to propose a new chronology for three sites. The duration of the sites is divided into three phases, with a total span of around 200 years between 600 and 400 BCE. Our results show that the changes in the burial ritual and material culture reflect a community’s internal development and external communication with other regions. Based on our chronology, the elite members of the Yuhuangmiao community used objects with steppe designs and horses to express their identities and social power. This practice was most prominent in the first phase and waned over time. We suggest reconsidering previous interpretations of these practices as a decline of the Yuhuangmiao people and view it instead as an expression of intra-community changes, possibly as an indicator of a successful integration of a community with foreign immigrants in an area located between two very different systems: of the steppes and the Central Plains.
Visualizing and Quantifying Uncertainty in Cut-off Grade Selection
Authors: Roos Chris 
Published: December 2024

AbstractModern mine planning techniques are advancing at an incredible rate, and mining companies are progressively more interested in quantifying the uncertainty in their business plans. However, for many decision makers and other stakeholders, the leap from tried-and-true deterministic techniques to stochastic methods will be challenging to understand and accept due to the complexity of the work involved. At the 2019 SME Annual Conference, the author introduced a multifaceted model to embrace uncertainty in mine planning (Roos 2019), and at APCOM 2023, the author brought forth some modern data visualization techniques that can be leveraged to achieve this goal (Roos 2023). The purpose of this model is to fill the gap in embracing uncertainty by recommending improvements in visualization and communication techniques to ensure that all mining operations can take steps toward embracing uncertainty quantification. This paper presents a case study leveraging this model to adapt the cut-off grade selection process for an underground gold mine to one that utilizes grade uncertainty and provides the appropriate decision makers with the information they need to embrace the uncertainty in their business plan. The methods presented in this paper do not produce a finite solution to the cut-off grade selection process, but instead provide additional information that can be used in understanding the impact of geological uncertainty on the results of a deterministic study. In this study, the visualization techniques presented here have been useful in identifying areas of the deposit with a higher risk of achieving the estimated grade and also areas where there may be an opportunity to develop future stopes with additional geological information.
Two disrupters to arguments from analogy for robot rights: uniqueness and completeness
Authors: Sweeney Paula 
Published: December 2024

AbstractWhen arguing for rights for robots, many theorists draw analogies between robots, on the one hand, and humans and other animals, on the other. They use these analogies to support the extension of rights beyond humans and other animals to robots. In this paper I argue that, even if we are initially inclined to see existing analogies between robots and humans and other animals as reasons for granting robots moral consideration, there are two rarely noted significant features that threaten to disrupt these analogies: uniqueness and completeness. I argue that those potential disrupters have a negative impact on many arguments from analogy regarding robot rights.
Niedermolekulares Heparin zur Antikoagulation während ECMO
Authors: Gratz Johannes , Scharner Vincenz , Schaden Eva , Wiegele Marion 
Published: December 2024

ZusammenfassungEine ECMO-Therapie wird als kardiale und/oder pulmonale Organunterstützung zur Überbrückung einer akuten Krankheitsphase bei kritisch kranken Patient:innen angewandt. Sie erfordert im Regelfall eine systemische Antikoagulation. Während unfraktioniertes Heparin (UFH) nach wie vor das am meisten genutzte Antikoagulans während einer ECMO-Therapie (extrakorporale Membranoxygenierung) ist, hat sich in manchen Zentren subkutan verabreichtes niedermolekulares Heparin (NMH) als primäres Antikoagulans während der ECMO-Therapie etabliert. Datenvergleiche der Medizinischen Universität Wien geben Hinweise auf mögliche Vorteile von NMH gegenüber UFH bei der Vermeidung
thromboembolischer Ereignisse sowie Blutungen.
Eulerian Parameter Inference: a probabilistic change of variables for model-based inference with high-variability data sets
Authors: Wagner Vincent , Castellaz Benjamin , Kaiser Lars , Höpfl Sebastian , Radde Nicole 
Published: December 2024

AbstractAdvances in measurement technology have led to the generation of increasingly large data sets across various scientific fields. Data that capture the variability of the underlying system or process, such as single-cell or imaging data, are particularly interesting. However, calibrating computational models to explain this type of data remains challenging.We interpret the model calibration as a Stochastic Inverse Problem (SIP), where the measurements are interpreted as probabilistic samples. Our new SIP solution approach, Eulerian Parameter Inference (EPI), only requires data with large empirical variance and a deterministic simulation model that maps model parameters to simulation results. EPI solves the SIP through a change of variables. This computationally efficient approach allows for direct and point-wise evaluation of parameter densities without ever inverting the simulation model. The resulting parameter distribution captures data variability completely, enabling full data reconstruction. Further, estimating multivariate model parameters can be reduced to a series of one-dimensional problems under the assumption of stochastically independent parameters. This property is vital for complex simulation models and involved problems.With EPI, we explain 1) annual average temperature data of 3168 weather stations around the world with an arithmetic model, 2) German district-specific COVID-19 infection data through a differential equation model, and 3) artificial data generated via a partial differential equation model with independent parameters. With a robust mathematical foundation and an easily accessible package, we provide a versatile solution framework for integrating data with a high variance into simulation models that promotes application to various research questions.
Multi-source tri-environmental conceptual framework for fire impact analysis
Authors: Li Zongrong , Li Qiluo , Li Haiyang , Wang Siqin , Qi Yi 
Published: December 2024

AbstractThe summer of 2023 highlighted the growing threat of wildfires in isolated areas, with Maui Island in Hawaii experiencing one of its largest wildfires. Our study employs a multi-source approach, integrating high-resolution optical data, thermal infrared data, and demographic information to assess the environmental, built, and social impacts of this event. Our innovative tri-environmental framework reveals significant vegetation degradation, land cover change, and disproportionate effects on various demographic groups. The fire caused extensive damage, with residential properties incurring 77.6% of the total losses, equating to approximately $563.2 million. Social impacts were profound, particularly among females, children, and the elderly, with employment and commuting disruptions affecting both low- and high-income groups. The study highlights the effectiveness of combining dasymetric mapping with real-time satellite data to refine population distribution estimates in affected areas. Our findings are applicable beyond wildfires, offering valuable insights into disaster response and mitigation strategies across various natural hazards like floods and earthquakes.
Can low-carbon pilot policies reduce air pollution levels?
Authors: Ho Ken , Chen Chunhui , Gu Qiying , Gao Yibo 
Published: December 2024

AbstractThis paper explores the impact of China’s low-carbon pilot policy on air pollution levels. Employing a difference-in-difference approach based on propensity score matching, we find that the policy significantly reduced air pollution in the pilot cities. However, we also uncover a negative spillover effect, with neighboring cities experiencing increased pollution levels. After controlling for this spillover, the policy’s impact on air pollution decreases. Heterogeneity analysis reveals that the policy’s effectiveness varies across time and location, with more pronounced effects in coastal and southern regions and on non-statutory holidays. These findings highlight the complexity of environmental policy impacts and underscore the need for comprehensive, regionally tailored approaches to air pollution control.
Assessment of the Relationship Between Amino Acid Status and Parkinson’s Disease: A Comprehensive Review and Meta-analysis
Authors: Akdas Sevginur , Yuksel Demir , Yazihan Nuray 
Published: December 2024

ABSTRACT

Background:
Parkinson’s disease (PD) is characterized by the inability of dopamine production from amino acids. Therefore, changes in amino acid profile in PD patients are very critical for understanding disease development. Determination of amino acid levels in PD patients with a cumulative approach may enlighten the disease pathophysiology.

Methods:
A systematic search was performed until February 2023, resulting in 733 articles in PubMed, Web of Science and Scopus databases to evaluate the serum amino acid profile of PD patients. Relevant articles in English with mean/standard deviation values of serum amino acid levels of patients and their healthy controls were included in the meta-analysis.

Results:
Our results suggest that valine, proline, ornithine and homocysteine levels were increased, while aspartate, citrulline, lysine and serine levels were significantly decreased in PD patients compared to healthy controls. Homocysteine showed positive correlations with glutamate and ornithine levels. We also analyzed the disease stage parameters: Unified Parkinson’s Disease Rating Scale III (UPDRS III) score, Hoehn–Yahr Stage Score, disease duration and levodopa equivalent daily dose (LEDD) of patients. It was observed that LEDD has a negative correlation with arginine levels in patients. UPDRS III score is negatively correlated with phenylalanine levels, and it also tends to show a negative correlation with tyrosine levels. Disease duration tends to be negatively correlated with citrulline levels in PD patients.

Conclusion:
This cumulative analysis shows evidence of the relation between the mechanisms underlying amino acid metabolism in PD, which may have a great impact on disease development and new therapeutic strategies.
AI innovation in healthcare and state platforms under a rights-based perspective: the case of Brazillian RNDS
Authors: Falcão Matheus Zuliane , Rachid Raquel , Fornazin Marcelo 
Published: December 2024

Abstract
This article examines the National Health Data Network (RNDS), the platform launched by the Ministry of Health in Brazil as the primary tool for its Digital Health Strategy 2020–2028, including innovation aspects. The analysis is made through two distinct frameworks: Right to health and personal data protection in Brazil. The first approach is rooted in the legal framework shaped by Brazil’s trajectory on health since 1988, marked by the formal acknowledgment of the Right to health and the establishment of the Unified Health System, Brazil’s universal access health system, encompassing public healthcare and public health actions. The second approach stems from the repercussions of the General Data Protection Law, enacted in 2018 and the inclusion of Right to personal data protection in Brazilian’s Constitution. This legislation, akin to the EU’s General Data Protection Regulations, addressed the gap in personal data protection in Brazil and established principles and rules for data processing. The article begins by explanting the two approaches, and then it provides a brief history of health informatics policies in Brazil, leading to the current Digital Health Strategy and the RNDS. Subsequently, it delves into an analysis of the RNDS through the lenses of the two aforementioned approaches. In the final discussion sections, the article attempts to extract lessons from the analyses, particularly in light of ongoing discussions such as the secondary use of data for innovation in the context of different interpretations about innovation policies.
The Changing World of Spirit in Hegel’s Philosophy of Right
Authors: Nuzzo Angelica 
Published: December 2024

Abstract
Hegel’s ‘science of right’ is a philosophical account of spirit’s ‘world’. Accordingly, in this essay, I propose to take it as the model of what I call a ‘political cosmology’. In Hegel’s dialectic-speculative philosophy, cosmology becomes a practical, worldly science. It becomes the account of the ways in which spirit immanently constructs, produces and comes to know its own world and itself as the actuality of the world.
Gender and the Biopolitics of Public Order: Notes from Spain
Authors: Pérez Navarro Pablo 
Published: December 2024

Abstract
This paper critically addresses the logics of exceptionality inherent to emerging regulations of the gender field, with a focus on Spain’s recent self-determination-based regulation of gender. To achieve this, it offers a biopolitical analysis of the concept of “public order” and its influence on gender governance, drawing parallels to Agamben’s concept of the state of exception and exploring the connections between contemporary regulations and the gendered public order of nineteenth-century France. Finally, it analyzes the exclusions and restrictions that the Spanish trans law reserves for migrants, non-binary people, and minors, contributing to the ongoing discourse on the limitations to gender autonomy in contemporary Western societies.
The Italian political class: two multilevel datasets on the profiles and opinions of elected politicians
Authors: Isernia Pierangelo , Martini Sergio , Olmastroni Francesco , Verzichelli Luca 
Published: December 2024

Abstract
The datasets on the Italian political class provides two sets of information: (a) census data on a broad spectrum of individual-level variables on elected politicians, offering an updated mapping of the characteristics of more than 20,000 Italian representatives at all governmental levels; (b) survey data on politicians' attitudes towards elections, participation, public opinion, several national and international policy issues, and their views of political representation. Between September 2020 and January 2021, 2134 elected politicians at the local (n = 1917), regional (n = 128), national (n = 75) and European (n = 14) levels were interviewed, making this one of the largest surveys of the Italian political elites ever conducted and a valuable resource for researchers interested in the study of democratic representation.