bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social Capital and Hit-and-Run Road Accidents: Evidence from Italy
Authors: Castriota Stefano , Rondinella Sandro , Tonin Mirco 
Published: April 2024

AbstractWe use data on Italian road accidents involving pedestrians in the period 2000–2016 to study the link between social capital and the driver’s decision to flee. Running away is a serious crime which affects the victim’s probability to survive after the accident. We merge detailed police records on road accidents with data on social capital at the province level and find a strong negative correlation between social capital and the decision to run away. The analysis is in line with previous studies suggesting that social capital is an important driver of human behaviour even in situations characterized by strict time constraints and dramatic psychological conditions.
Weiterbildungsberatung im Online-Format – Zur Analyse digitaler Dokumente
Authors: Schmidt-Lauff Sabine , Rathmann Marie 
Published: April 2024

ZusammenfassungOnline-Weiterbildungsberatung kann mittlerweile auf ein eigenständiges beraterisches Profil zurückgreifen, um Ratsuchenden individuelle Zugänge der Problembearbeitung sowie Möglichkeiten zur Entfaltung von Lern- und Bildungspotenzialen in allen Lebensphasen und -bereichen anzubieten. Grundsätzlich bildet die gesamte Lebenswelt, in der Erwachsene handeln, denken und fühlen (analog wie digital), den Horizont möglicher Beratungsanlässe. Auf Basis praxistheoretischer Grundannahmen zu digital-gestützten Interaktionen werden über eine qualitative Online-Forschung entlang digitaler Dokumente sowie einer semiotischen Interaktionsanalyse eines exemplarischen Online-Portals der Weiterbildungsberatung (www.der-weiterbildungsratgeber.de) Aktivierungslogiken, digital-mediale Ordnungen sowie Adressierungspraktiken rekonstruiert.
Greening, climatizing, and decarbonizing: an inquiry into the transformation of productive sectors and activities
Authors: Granjou Céline , Banos Vincent , Le Berre Sylvain , Sergent Arnaud 
Published: April 2024

AbstractThe new post-COP21 climate regime is ushering in a range of reorientations and transformations of productive activities and economic sectors, based on their place in the global carbon cycle and carbon flows. This introductory article to the special issue on “The Politics of Decarbonization” explores how a focus on the promises of decarbonization observed in various productive sectors can contribute to our understanding of the current transformations of these sectors, their practices, and their production models in the face of climate change. We begin by (I) situating the special issue’s project in relation to the works on greening and ecological modernization published since the 1990s and particularly in relation to the critique of climate capitalism, so as to emphasize the continuities as well as the specificities that a focus on decarbonization policies entails. We then outline (II) the aims of the special issue in relation to the recent literature on climatization: far from seeking to standardize the treatment of the climate issue within a specific social science discipline, we feel it is important to contribute to a multidisciplinary and critical approach to the revival of productivism and the depoliticization of change often associated with decarbonization policies. This issue develops a range of perspectives anchored in different social science fields and disciplines, particularly looking at the forestry, energy, mining, agriculture, research, and bio-economy sectors.
Provincial income convergence in Vietnam: spatio-temporal dynamics and conditioning factors
Authors: Nguyen Minh-Thu Thi 
Published: April 2024

AbstractIn this article, we use a three-step procedure that combines the log t convergence test, Explanatory Spatial Data Analysis, and ordered logit regression to determine the spatio-temporal dynamics and determinants of provincial income clustering in Vietnam during the 2010–2020 period. Our findings are three-fold. First, provincial income clustering in Vietnam follows patterns of club convergence towards multiple equilibria. Seven convergence clubs encompassing 61 provinces are identified. Second, spatial autocorrelation encourages neighboring provinces to converge toward shared income equilibria. High-income clusters are observed in the Northern and Southern Key Economic Regions, while low-income clusters are concentrated in the mountainous areas of Northern Vietnam. Finally, both internal and external factors significantly affect the formation of convergence clubs. Vital internal factors include localities’ initial conditions of physical capital and structural change. Meanwhile, external factors refer to spatial externalities among neighboring provinces. We highlight spatial complementarity in physical capital accumulation and spatial competition in industrial intensification among neighboring provinces.
Effect of multiwall carbon nanotubes and surfactants characteristics on immobilization of heavy metals in contaminated soils
Authors: Correia Antonio A. S. , Rasteiro Maria G. 
Published: April 2024

AbstractSoil is a vital resource to humans and soil health is a concern of modern societies. One of the problems is the existence of heavy metals (HMs) pollution, which can affect food, water sources and biodiversity. This experimental work studies the effect of multiwall carbon nanotubes (MWCNTs) and surfactants characteristics on HMs immobilization in a contaminated soil. The testing program comprises the characterization of the MWCNTs and surfactants, followed by two distinct adsorption tests: suspension tests designed to supply preliminary information regarding the adsorption capacity of soil particles towards the different HMs, and percolation tests to evaluate the HMs immobilization in conditions mimicking a real in-situ scenario. The different HMs exhibit different affinities order to the soil studied: Pb > Cu > Ni > Zn. Results indicated that the inherent soil particles can immobilize significant quantities of HMs (especially Pb and Cu) due to their fine size and the existence of a substantial amount of organic matter content in the soil matrix. Molecular weight and charge density of the surfactant are characteristics with an impact on the MWCNTs dispersion and also on the adsorption capacity of the different HMs, namely in the case of Ni2+ and even in the case of Zn2+ possessing lower electronegativity and higher mobility. The findings of the study allow concluding that MWCNTs possess the potential to reduce the mobility of heavy metals in soil, even when employed at very low concentration (0.01% w/w), which is an important feature considering their cost.
From applied ethics and ethical principles to virtue and narrative in AI practices
Authors: Hayes Paul , Fitzpatrick Noel , Ferrández José Manuel 
Published: April 2024

AbstractThe question of how we can use ethics and ethical frameworks to avert the negative consequences of AI through guidance on human behaviour and the design of technological systems has recently been receiving increasing attention. The appropriate response to an ethics of AI has certainly been contentious. For some years the wisdom of deontology and utilitarianism in the ethics of technology has been questioned. Today, a kind of AI ethics principlism has gained a degree of widespread acceptance, yet it still invites harsh rejections in recent scholarship. In this paper, we wish to explore the contribution to an ethics of AI made by a narrative philosophy and ethics of technology inspired by the ‘little ethics’ of Paul Ricoeur, and virtue ethics of Alasdair MacIntyre, most recently and promisingly built upon by Wessel Reijers and Mark Coeckelbergh. The objective of this paper is to examine the extent to which a narrative and virtue based ethics (or, VPD, i.e., virtuous practice design) might be a plausible candidate for the foundation of an ethics of AI, or rather ethical AI practice. This will be achieved by exploring the ways in which this approach can respond to some of the significant faults with or critiques of applied and principles and guidelines based ethical approaches to AI ethics.
Evaluating approaches for reducing catastrophic risks from AI
Authors: Dung Leonard 
Published: April 2024

AbstractAccording to a growing number of researchers, AI may pose catastrophic – or even existential – risks to humanity. Catastrophic risks may be taken to be risks of 100 million human deaths, or a similarly bad outcome. I argue that such risks – while contested – are sufficiently likely to demand rigorous discussion of potential societal responses. Subsequently, I propose four desiderata for approaches to the reduction of catastrophic risks from AI. The quality of such approaches can be assessed by their chance of success, degree of beneficence, degree of non-maleficence, and beneficent side effects. Then, I employ these desiderata to evaluate the promises, limitations and risks of alignment research, timelines research, policy research, halting or slowing down AI research, and compute governance for tackling catastrophic AI risks. While more research is needed, this investigation shows that several approaches for dealing with catastrophic AI risks are available, and where their respective strengths and weaknesses lie. It turns out that many approaches are complementary and that the approaches have a nuanced relationship to approaches to present AI harms. While some approaches are similarly useful for addressing catastrophic risks and present harms, this is not always the case.
A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts
Authors: Roy Dilip Kumar , Hashem Ahmed A. , Reba Michele L. , Leslie Deborah L. , Nowlin John 
Published: April 2024

AbstractDeveloping precise groundwater level (GWL) forecast models is essential for the optimal usage of limited groundwater resources and sustainable planning and management of water resources. In this study, an improved forecasting accuracy for up to 3 weeks ahead of GWLs in Bangladesh was achieved by employing a coupled Long Short Term Memory (LSTM) network-based deep learning algorithm and Maximal Overlap Discrete Wavelet Packet Transform (MODWPT) data preprocessing. The coupled LSTM-MODWPT model’s performance was compared with that of the LSTM model. For both standalone LSTM and LSTM-MODWPT models, the Random Forest feature selection approach was employed to select the ideal inputs from the candidate GWL lags. In the LSTM-MODWPT model, input GWL time series were decomposed using MODWPT. The ‘Fejér-Korovkin’ mother wavelet with a filter length of 18 was used to obtain a collection of scaling coefficients and wavelets for every single input time series. Model performance was assessed using five performance indices: Root Mean Squared Error; Scatter Index; Maximum Absolute Error; Median Absolute Deviation; and an a-20 index. The LSTM-MODWPT model outperformed standalone LSTM models for all time horizons in GWL forecasting. The percentage improvements in the forecasting accuracies were 36.28%, 32.97%, and 30.77%, respectively, for 1-, 2-, and 3-weeks ahead forecasts at the observation well GT3330001. Accordingly, the coupled LSTM-MODWPT model could potentially be used to enhance multiscale GWL forecasts. This research demonstrates that the coupled LSTM-MODWPT model could generate more precise GWL forecasts at the Bangladesh study site, with potential applications in other geographic locations globally.
Voting protocols on the star graph
Authors: Kátai-Urbán Kamilla , Pongrácz András , Szabó Csaba 
Published: April 2024

AbstractLet $$G=(V,E)$$

G
=
(
V
,
E
)

be a finite graph together with an initial assignment $$V\rightarrow \{0,1\}$$

V
→
{
0
,
1
}

that represents the opinion of each vertex. Then discordant push voting is a discrete, non-deterministic protocol that alters the opinion of one vertex at a time until a consensus is reached. More precisely, at each round a discordant vertex u (i.e., one that has a neighbor with a different opinion) is chosen uniformly at random, and then we choose a neighbor v with different vote uniformly at random, and force v to change its opinion to that of u. In case of the discordant pull protocol we simply choose a discordant vertex uniformly at random and change its opinion. In this paper, we give asymptotically sharp estimations for the worst expected runtime of the discordant push and pull protocols on the star graph.
Properties and Applications of A New Attractive Distribution
Authors: Al-Shomrani Ali A. , Al-Arfaj Ahmed 
Published: April 2024

AbstractWe provide a new, flexible model called the Odd Kappa-Exponential (OK-E) distribution. The shape of its hazard rate function (hrf) might be constant, declining, growing, inverted-J, bathtub, or inverted-bathtub. The probability density function (pdf) and the cumulative distribution function (cdf) have both been expressed as linear expansions. Bonferroni and Lorenz curves, ordinary and incomplete moments, the quantile function, the mean residual life, the mean waiting time, and the entropy are all defined. The maximum likelihood method is used to estimate the values of the model’s unknown parameters. To verify the precision of the estimate, we ran a simulation study. The attractiveness and adaptability of the Odd Kappa-Exponential model were shown using four real-world examples from the fields of economics, engineering, and the environment.
Can you have it both ways? Attribution and plausible deniability in unclaimed coercion
Authors: Pischedda Costantino , Cheon Andrew , Moller Sara B. 
Published: April 2024

AbstractStates and non-state actors conduct unclaimed coercive attacks, inflicting costs on adversaries to signal resolve to prevail in a dispute while refraining from claiming or denying responsibility. Analysts argue that targets often know who is responsible, which enables coercive communication, and that the lack of claims of responsibility grants coercers plausible deniability in the eyes of third parties. The puzzle of different audiences holding different beliefs about who is behind an unclaimed attack, even when they may have the same information, has been neglected. We address this puzzle by theorising that targets and third parties tend to reach different conclusions due to distinct emotional reactions: targets are more likely to experience anger, which induces certainty and a desire to blame someone, as well as heuristic and biased information processing, prompting confident attribution despite the limited evidence. A vignette-based experiment depicting a terrorist attack lends empirical plausibility to our argument.
Beyond the law-in-the-books: Labour enforcement in Senegal
Authors: Diallo Thierno Malick , Ronconi Lucas 
Published: April 2024

AbstractExtant research often assumes that the letter of labour codes is an adequate proxy for effective regulation. This paper empirically shows that such an assumption makes little sense for Senegal. We collect new objective measures of private and public labour enforcement, including workers’ awareness of their rights, access to the judiciary, penalties, and labour inspection resources and activities. We document that Senegal, as well as other countries in Francophone West Africa, is characterised by a combination of protective/stringent in-form labour codes and little enforcement efforts. Furthermore, we show that labour inspections target large and registered firms, while labour violations are more prevalent in small and unregistered firms, implying that the problem is substantially more complex than a lack of public inspection funding. We speculate it is mostly about the lack of effective representation of vulnerable workers in the policymaking process.
Whey protein dynamics in goat mammary secretions during colostrum and early lactation periods
Authors: Raimondo Raquel F. S. , Miyashiro Samantha I. , Birgel Junior Eduardo H. 
Published: April 2024

AbstractThe protein composition in goat milk undergoes changes throughout the different lactation periods, displaying distinct characteristics that are influenced by the dynamic nature of protein composition and concentration during the transition from colostrum secretion to mature milk. To evaluate the dynamics of whey proteins of Saanen goats during the colostral phase and the first month of lactation, 110 milk samples from 11 healthy mammary halves of seven Saanen goats were selected through a clinical evaluation. Whey was obtained by rennet coagulation of the mammary secretion. The biuret method determined total protein concentration, and their fractions were identified by 12% dodecyl sulfate-polyacrylamide gel electrophoresis. Maximum concentrations of all protein fractions were observed in the first 12 h of lactation, reducing throughout the study. Modification of the protein predominance was also observed. The transition from colostrum secretion to milk occurred 5 or 7 d postpartum.
Closing the knowledge gap: Helminth parasites of freshwater turtles from the Chaco-Pampa Plain, Southern South America
Authors: Palumbo Ezequiel Oscar , Alcalde Leandro , Bonino Marcelo , Lescano Julián , Montes Martín , Solari Agustín , Inés Diaz Julia 
Published: April 2024

Abstract
Six species of freshwater turtles dominate the Chaco-Pampa Plain in southern South America and their parasites have been relatively understudied, with most records concentrated in Brazil. Particularly in Argentina, there are only scattered records of parasites for most of the turtles that inhabit the region, leaving a large knowledge gap. The purpose of the present contribution is to increase the knowledge of the internal parasites of six species of freshwater turtles from Argentina, after 15 years of fieldwork, by providing new hosts and additional geographic records for many host-parasite relationships. Some molecular sequences of the studied parasites were provided as a tool for better species identification. We processed 433 stomach and fecal samples from live individuals and visceral and soft tissue samples from 54 dissected turtles collected from a wide range and different ecoregions. We found 6230 helminths belonging to 18 taxa (one cestode, 11 digeneans and six nematodes). Fourteen new parasite-host associations are reported here, and for the first time parasites are recorded for Phrynops williamsi. This work contributes significantly to the knowledge of the parasitofauna in freshwater turtles in Argentina, providing a detailed list of parasites present in each turtle species and reporting molecular characters for future studies.
Ageing of the Australian LGBQ population: estimates and projections to mid-century
Authors: Temple Jeromey , Wilson Tom 
Published: April 2024

Abstract
Although evidence on aspects of individual ageing of LGBTQI (lesbian, gay, bisexual, transgender, queer and/or intersex) people is mounting, there is a poor understanding of the macro aspects of population ageing within the LGBTQI population itself. This paper seeks to address this lacuna through an examination of structural and numerical ageing of the Australian LGBQ population. Drawing upon new data sources, alongside recent advances in demographic modelling, we utilised a modified multi-state cohort-component projection model to produce estimates and projections of the ageing of the Australian LGBQ population from 2016 to 2041. Our results indicate that the LGBQ population is significantly younger than the heterosexual population and is ageing structurally (in relative terms) at a slower rate. However, the LGBQ population is ageing considerably faster numerically (in absolute percentage growth terms) relative to the heterosexual population. We show the LGBQ population aged 65+ is projected to grow between 150 and 170 per cent between 2016 and 2041, under relatively conservative assumptions. This strong numerical ageing counters traditional assumptions about ageing of the LGBQ population and provides data to improve visibility of this population and to ameliorate future planning for health, care and social service provision that is appropriate and well-funded. The methods and materials we develop in this paper provide new opportunities for other countries to improve planning for LGBQ populations similarly.
Ageing with spinal cord injury: a longitudinal study
Authors: Zhao Haoai , Cole Shu , Omodior Karo , Valdivia Dubravka Svetina 
Published: April 2024

Abstract
Limited studies have evaluated the impact of recreation on successful ageing (SA) for individuals with spinal cord injury (SCI) in a longitudinal manner. Most existing SA models emphasise biomedical-based dimensions of physical functioning, which has been criticised as unrealistic and limited, especially for people with disabilities. Various researchers and organisations have proposed that SA needs to be reassessed using more self-perceived, self-reported measurements. Understanding long-term life satisfaction predictors for individuals ageing with SCI is still limited, particularly when including longitudinal recreation participation data. This study, based on Rowe and Kahn's SA model and utilising self-reported measurements, observes the long-term changes in self-reported health status, recreation participation time and social integration levels, and evaluates the long-term impacts of these predictors on life satisfaction among individuals with SCI. The sample comprises individuals with SCI (N = 11,450) who are at least 45 years old at the time of injury or have lived with their injury for over 15 years. Results indicate that when ageing with SCI, life satisfaction increases over time, but their recreation time, social interactions and self-perceived health status decline. Moreover, regular participation in recreational activities, engagement in and maintenance of certain levels of social relationships, and high self-evaluation of health can positively impact life satisfaction during ageing. The study explores the feasibility of using self-perceived measurements to replace biomedical-based variables in Rowe and Kahn's SA model and examines their impacts on life satisfaction among people ageing with disabilities. In the future development of SA models, researchers can incorporate more self-reported, self-evaluated assessment variables to better capture the ageing experience, especially for people with disabilities.
Decreased risk of non-influenza respiratory infection after influenza B virus infection in children
Authors: Tsang Tim K. , Du Richael Q. R. , Fang Vicky J. , Lau Eric H. Y. , Chan Kwok Hung , Chu Daniel K. W. , Ip Dennis K. M. , Peiris J. S. Malik , Leung Gabriel M. , Cauchemez Simon , Cowling Benjamin J. 
Published: April 2024

Abstract
Previous studies suggest that influenza virus infection may provide temporary non-specific immunity and hence lower the risk of non-influenza respiratory virus infection. In a randomized controlled trial of influenza vaccination, 1 330 children were followed-up in 2009–2011. Respiratory swabs were collected when they reported acute respiratory illness and tested against influenza and other respiratory viruses. We used Poisson regression to compare the incidence of non-influenza respiratory virus infection before and after influenza virus infection. Based on 52 children with influenza B virus infection, the incidence rate ratio (IRR) of non-influenza respiratory virus infection after influenza virus infection was 0.47 (95% confidence interval: 0.27–0.82) compared with before infection. Simulation suggested that this IRR was 0.87 if the temporary protection did not exist. We identified a decreased risk of non-influenza respiratory virus infection after influenza B virus infection in children. Further investigation is needed to determine if this decreased risk could be attributed to temporary non-specific immunity acquired from influenza virus infection.