bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is body condition of Mexican rubyspot (Odonata:Zygoptera) associated with urbanization?
Authors: Suárez-Tovar Catalina M. , Rocha-Ortega Maya , Córdoba-Aguilar Alex 
Published: September 2023

Abstract
Urbanized areas can impose selective pressures on insects which can be identified at the individual level based on animal physiological condition. Physiological condition can be measured from variables such as body size, body mass or energetic budget of individuals. We examined whether body mass, wing spot size and energy reserves (proteins, lipids and carbohydrates) were reduced as urbanization increases, using adults of two damselflies, Hetaerina americana and H. vulnerata, in Central Mexico. We used a Habitat Integrity Index to assess the degree of urbanization in our sampled sites, considering biophysical attributes and the impact of anthropogenic activities. We did not find relation of above individual variables with urbanization degree. These results support possible resilience of rubyspot damselflies in the face of radical changes such as urbanization. Our finding echoes other results in damselflies research.

Implications for insect conservation
Our results highlight the resilience of these damselflies species in the face of urban disturbances. Thus design cities considering not only requirements of humans is essential to promote the presence and conservation of these and other species of insects in cities.

Graphical abstract
LiMeS-Lab: An Integrated Laboratory for the Development of Liquid–Metal Shield Technologies for Fusion Reactors
Authors: Tanke V. F. B. , Al R. S. , Alonso van der Westen S. , Brons S. , Classen I. G. J. , van Dommelen J. A. W. , van Eck H. J. N. , Geers M. G. D. , Lopes Cardozo N. J. , van der Meiden H. J. , Orrico C. A. , van de Pol M. J. , Riepen M. , Rindt P. , de Rooij T. P. , Scholten J. , Timmer R. H. M. , Vernimmen J. W. M. , Vos E. G. P. , Morgan T. W. 
Published: September 2023

AbstractThe liquid metal shield laboratory (LiMeS-Lab) will provide the infrastructure to develop, test, and compare liquid metal divertor designs for future fusion reactors. The main research topics of LiMeS-lab will be liquid metal interactions with the substrate material of the divertor, the continuous circulation and capillary refilling of the liquid metal during intense plasma heat loading and the retention of plasma particles in the liquid metal. To facilitate the research, four new devices are in development at the Dutch Institute for Fundamental Energy Research and the Eindhoven University of Technology: LiMeS-AM: a custom metal 3D printer based on powder bed fusion; LiMeS-Wetting, a plasma device to study the wetting of liquid metals on various substrates with different surface treatments; LiMeS-PSI, a linear plasma generator specifically adapted to operate continuous liquid metal loops. Special diagnostic protection will also be implemented to perform measurements in long duration shots without being affected by the liquid metal vapor; LiMeS-TDS, a thermal desorption spectroscopy system to characterize deuterium retention in a metal vapor environment. Each of these devices has specific challenges due to the presence and deposition of metal vapors that need to be addressed in order to function. In this paper, an overview of LiMeS-Lab will be given and the conceptual designs of the last three devices will be presented.
Making it to the Academic Path in a Tracked Education System: The Interplay of Individual Agency and Social Origin in Early Educational Transitions
Authors: Mele Francesca , Buchmann Marlis , Burger Kaspar 
Published: September 2023

AbstractLittle is known about the role of agency in transitions in tracked education systems or whether it varies by socioeconomic background. This study addressed this gap by estimating structural equation models based on longitudinal data that are representative of the German- and French-speaking parts of Switzerland (N = 1273 individuals, surveyed from age 6 to 18, mean age at wave 1: Mage = 6.54, SDage = 0.50, female = 49%). The findings reveal that agency (captured by study effort and occupational aspirations) and socioeconomic background (measured by parental education and family income) significantly predicted students’ transitions to academically demanding tracks in lower- and upper-secondary education. In the transition to upper-secondary education, students with fewer socioeconomic resources benefitted less than their more advantaged peers from ambitious aspirations, but they benefitted more from exerting effort. These findings suggest that both an optimistic forward-looking orientation and the exertion of effort are required to make it to an academic track. Effort may serve as a “substitutive” resource for less socioeconomically advantaged students, whereas ambitious aspirations may enhance the positive effect of family socioeconomic resources on academic educational trajectories. Overall, the evidence from this study calls for greater attention to investigating not only how agency shapes adolescents’ educational trajectories and opportunities but also how its role differs across social groups.
Dynamic Treatment Regimes Using Bayesian Additive Regression Trees for Censored Outcomes
Authors: Li Xiao , Logan Brent R. , Hossain S. M. Ferdous , Moodie Erica E. M. 
Published: September 2023

AbstractTo achieve the goal of providing the best possible care to each individual under their care, physicians need to customize treatments for individuals with the same health state, especially when treating diseases that can progress further and require additional treatments, such as cancer. Making decisions at multiple stages as a disease progresses can be formalized as a dynamic treatment regime (DTR). Most of the existing optimization approaches for estimating dynamic treatment regimes including the popular method of Q-learning were developed in a frequentist context. Recently, a general Bayesian machine learning framework that facilitates using Bayesian regression modeling to optimize DTRs has been proposed. In this article, we adapt this approach to censored outcomes using Bayesian additive regression trees (BART) for each stage under the accelerated failure time modeling framework, along with simulation studies and a real data example that compare the proposed approach with Q-learning. We also develop an R wrapper function that utilizes a standard BART survival model to optimize DTRs for censored outcomes. The wrapper function can easily be extended to accommodate any type of Bayesian machine learning model.
Does board composition matter for innovation? A longitudinal study of the organizational slack–innovation relationship in Nasdaq-100 companies
Authors: Heubeck Tim , Meckl Reinhard 
Published: September 2023

AbstractIn high-tech industries, firms accumulate increasing amounts of excess resources. Existent research paints an ambiguous picture of these slack resources for innovation: while some slack is integral for innovation as fuel for experimentation, too much slack inhibits innovation by causing inefficiencies. However, firms in high-tech industries cannot develop and sustain competitive advantages in the long run without sufficient and steady investments in innovation. Additionally, the increasing complexities within these highly dynamic industries make it easier for managers to pursue their self-interests—often to the organization’s detriment. Against this backdrop, the role of the board of directors is particularly crucial in high-tech industries, as it determines the efficacy of the board’s governance and resource provisioning functions. This study proposes several board characteristics as moderators of the slack–innovation relationship. The dataset builds on a longitudinal sample of high-tech firms from the Nasdaq-100 Index between 2010 and 2020. The results advance management literature by extending the notion of slack resources as a double-edged sword to high-tech industries. The findings also show that this relationship is contingent on specific board characteristics: larger and more independent boards dampen this relationship, while longer board tenure, more board affiliations, and a larger share of women directors amplify it. Further, the findings caution managers to balance the necessity of slack resources for promoting innovation with its efficiency detriment. The results additionally inform practitioners on determining the optimal board composition in the face of mounting competitive pressures for sustained innovation.
The role of mindfulness and autonomous motivation for goal progress and goal adjustment: an intervention study
Authors: Kappes Cathleen , Marion-Jetten Ariane S. , Taylor Geneviève , Schad Daniel J. , Dreßler Birte , El-Hayek Samira , Hansemann Jule , Heine Rebecca , Lindner Sarah , Melzner Lena , Meyer Cedric , Pfister Benjamin , Rogowski Kaja , Rose Rebekka , Simson Katharina , Stach Patric 
Published: September 2023

AbstractPrevious correlational studies showed the importance of mindfulness and autonomous goal motivation for goal pursuit, goal setting, and goal disengagement processes. The present study examined the role of mindfulness in goal regulation processes for self-selected personal goals in a randomized waitlist control group design. Participants (N = 228,M = 30.7 years, 18–78 years; 84% female) either received daily 9-12-minute audio mindfulness exercises online for four weeks or were placed on a waitlist. Participants in the intervention group (N = 113) reported more goal progress compared with the control group (N = 116) at the end of the intervention. Autonomous goal motivation for already set goals did not influence change in goal progress. However, autonomous goal motivation for newly set goals was higher in the intervention group than in the control group. Additionally, we tested the role of mindfulness in interaction with goal attainability and autonomous motivation for goal adjustment processes (in this case, reduction of goal importance). In the control group, lower goal attainability at baseline was associated with a greater reduction in goal importance for less autonomous goals. For more autonomous goals, change in goal importance was independent from baseline attainability. In contrast, in the intervention group, all goals were slightly devalued over time independently from autonomous motivation and goal attainability at T1. Moreover, changes in goal attainability were positively linked to changes in goal importance over time. This effect was moderated by mindfulness and autonomous motivation. Overall, the findings point to the relevance of mindfulness and autonomous motivation for goal regulation processes.
Enhanced performance of on-chip integrated biosensor using deep learning
Authors: Mikhail Thomas J. , El Shamy Raghi , Swillam Mohamed A. , Li Xun 
Published: September 2023

AbstractA new approach for determining the concentration composition of a multi-element media using a micro-ring resonator (MRR) is proposed which allows for both electrical and thermal noise removal as well as moderately higher average accuracy. This method uses two neural networks, namely a convolutional neural network (CNN) and a deep neural network (DNN). The CNN differentiates the transmission spectrum from the noise. This spectrum is used to obtain selected features before being fed into the DNN, which determines the concentration of each chemical in the analyte. Both models are trained to work using simulated data from a silicon on-insulator ring resonator operating between the infrared wavelengths of $$\lambda =1.46\,\upmu \hbox{m}$$

λ
=
1.46

μ
m

to $$\lambda =1.6\,\upmu \hbox{m}$$

λ
=
1.6

μ
m

on mixtures of water, ethanol, methanol, and propanol, although the same approach can be used with other designs and substances. The CNN was trained using the MRR transmission spectra superimposed with white Gaussian noise as well as Poisson noise to mimic different noise sources, while the DNN underwent training on the extracted features. Average root-mean-square error for element concentration for the entire system is 0.0775% for a range of concentrations from 0.0357 to 75%, and the largest error had a value of 0.68% concentration.
Influence of the W and Ta content on the High-Temperature Oxidation Resistance of Multinary Co/Ni-Based Superalloys at 1050 °C and 1150 °C
Authors: Hagen S. P. , Haussmann L. , Wahlmann B. , Gebhardt F. , Abu-Khousa B. , Weiser M. , Neumeier S. , Zenk C. , Virtanen Sannakaisa 
Published: September 2023

AbstractOutstanding inherent environmental resistance is a precondition for the use of superalloys in high-temperature applications. Besides high Al and Cr levels, also refractory metal concentrations (W and Ta) are reported to affect protective scale formation, as these elements are expected to affect the chemical activity and also the transport of protective scale formers within the alloy. In this study, we elucidate the high-temperature oxidation behavior of 3 Co-based (Co/Ni ratio: 1.4) and 3 Ni-based (Co/Ni ratio: 0.7) superalloys differing in W and Ta levels. Time-resolved thermogravimetric analysis (TGA) in synthetic air at 1050 °C and 1150 °C for 100 h, scanning electron microscopy analysis (SEM), thermodynamic calculations using the CALPHAD software Thermo-Calc, and diffusion couple experiments were conducted to assess the impact of the Co/Ni ratio and the refractory metal content on the oxidation performance. The results indicate that a low W content (3 vs. 5 at.%) and a high Ta content (2.1 vs. 1.5 at.%) beneficially affect the oxidation resistance, as alumina scale formation is facilitated.
Data-driven analysis and modeling of individual longitudinal behavior response to fare incentives in public transport
Authors: Wang Leizhen , Chen Xin , Ma Zhenliang , Zhang Pengfei , Mo Baichuan , Duan Peibo 
Published: September 2023

Abstract
Incentive-based public transport demand management (PTDM) can effectively mitigate overcrowding issues in crowded urban rail systems. Analyzing passengers’ behavioral responses to the incentive can guide the design, implementation, and update of PTDM strategies. Though several studies reported passengers’ responses to fare incentives, they focused on passengers’ short-term behavioral responses. Limited studies explore passengers’ longitudinal behavioral responses for different types of adopters, which is important for policy assessment and adjustment. This paper explores and models passengers’ longitudinal behavior response to a pre-peak fare discount incentive using 18 months of smartcard data in public transport in Hong Kong. We classified adopters into six types based on their temporal travel pattern changes before and after the promotion. The longitudinal analysis reveals that among all adopters, 19% of users change their departure times to take advantage of fare discounts but do not contribute to the goal of reducing peak-hour travel. However, these adopters are more likely to sustain their changed behavior in a long term which is not desired by the incentive program. The spatial analysis shows that the origin station distribution of late adopters is relatively more diverse than the early adopters with more trips starting from distant areas. The diffusion modeling shows that the majority adopters are innovators and the word-of-mouth diffusion effect (imitators) is marginal. The discrete choice model results highlight the heterogeneous impact of factors on different types of adopters and their values of time changes. The significant factors common to adopters are: departure time flexibility, the expected money savings, the required departure time changes, and work locations. The findings are useful for public transport planners and policymakers for informed incentive design and management.
Populist attitudes, fiscal illusion and fiscal preferences: evidence from Dutch households
Authors: Parlevliet Jante , Giuliodori Massimo , Rooduijn Matthijs 
Published: September 2023

AbstractIt is well documented that the public is often poorly informed about the economy. In the domain of fiscal policy, this may make voters susceptible to favour spending, while underestimating its costs (fiscal illusion). While politicians may have more information to judge the need for prudent economic policies, voters may be less inclined to support prudent fiscal policy if they do not believe that these politicians act in their best interest—an idea that in recent decades has become more prevalent. Using a novel dataset from the Netherlands, this paper examines whether strong populist ideas lead to more expansionary fiscal preferences, thereby reinforcing the risk of fiscal illusion. The findings indicate that respondents' populist attitudes significantly predict their fiscal preferences. Additionally, higher literacy and information provision contribute to more prudent fiscal preferences. However, the impact of literacy is conditioned by the level of populist sentiment. Poorly literate respondents show higher support for tax relief only when holding strong populist attitudes, not when expressing lower levels of populist sentiment.
Monitoring marine fishes using underwater video techniques in the Mediterranean Sea
Authors: Nalmpanti Melina , Chrysafi Anna , Meeuwig Jessica J. , Tsikliras Athanassios C. 
Published: September 2023

AbstractThe use of underwater video techniques has expanded rapidly in ecological studies and is particularly desirable in protected areas since the method does not impact the habitat or remove fish. The Mediterranean Sea is a biodiversity hotspot under high anthropogenic pressure and consequently, non-destructive and non-extractive techniques for fish monitoring are advantageous. Here, we review 110 publications that used underwater video in fish-related studies in the Mediterranean basin. The most common technique used in the Mediterranean Sea was Remotely Operated Vehicles (ROV) (33%), followed by Remote Underwater Video (RUV) systems (20%), Diver Operated Video (DOV) systems (20%) and Baited Remote Underwater Video (BRUV) systems (19%). Approximately one third of the studies used an additional sampling method, such as fisheries-based or molecular methods with the aim to compare the surveying effectiveness or produce complementary data. The most frequent objectives of the reviewed studies were related to fish community structure, i.e., focusing on community wide metrics such as abundance and biodiversity, or behavioral analyses, while the most commonly studied environments were those of the western Mediterranean and shallow waters, usually involving sandy or rocky reef habitats. Sampling protocols differed widely among studies with transect lengths, soak times and baits all varying. Future research should focus on the least studied parts of the region, such as the eastern and southern Mediterranean Sea and deep-sea habitats. Finally, the development of standardized sampling protocols is recommended to ensure that data are comparable among studies.
Virtual reality as a path to self-knowledge
Authors: Schwengerer Lukas 
Published: September 2023

AbstractI discuss how virtual reality can be used to acquire self-knowledge. Lawlor (Philos Phenomenol Res 79(1):47–75, 2009) and Cassam (Vices of the mind: from the intellectual to the political. OUP, Oxford, 2014) develop inferential accounts of self-knowledge in which one can use imagination to acquire self-knowledge. This is done by actively prompting imaginary scenarios and observing one’s reactions to those scenarios. These reactions are then used as the inferential basis for acquiring self-knowledge. I suggest that the imaginary scenarios can be in principle replaced with scenarios in virtual reality in a way that still provides an inferential basis for self-knowledge. Instead of internal prompting in imagination, I call this external prompting in virtual reality. I discuss the advantages and disadvantages of external prompting. On one hand, external prompting avoids some of the common biases that can intervene with internal prompting in imagination. On the other hand, external prompting comes with some challenges of its own. External prompting might be more time-consuming and might be open to a game-like approach of the agent leading to a different sort of distortion that gets in the way of self-knowledge. I suggest that these are practical challenges, but nevertheless, external prompting seems worthwhile for self-knowledge that is otherwise especially difficult to acquire.
pH-Dependent Friction of Polyacrylamide Hydrogels
Authors: Chau Allison L. , Pugsley Conor D. , Miyamoto Madeleine E. , Tang Yongkui , Eisenbach Claus D. , Mates Thomas E. , Hawker Craig J. , Valentine Megan T. , Pitenis Angela A. 
Published: September 2023

AbstractPolyacrylamide hydrogels are widely used in biomedical applications due to their tunable mechanical properties and charge neutrality. Our recent tribological investigations of polyacrylamide gels have revealed tunable and pH-dependent friction behavior. To determine the origins of this pH-responsiveness, we prepared polyacrylamide hydrogels with two different initiating chemistries: a reduction–oxidation (redox)-initiated system using ammonium persulfate (APS) and N,N,N′N′-tetramethylethylenediamine (TEMED) and a UV-initiated system with 2-hydroxy-4′-(2-hydroxyethoxy)-2-methylpropiophenone (Irgacure 2959). Hydrogel swelling, mechanical properties, and tribological behavior were investigated in response to solution pH (ranging from ≈ 0.34 to 13.5). For polyacrylamide hydrogels in sliding contact with glass hemispherical probes, friction coefficients decreased from µ = 0.07 ± 0.02 to µ = 0.002 ± 0.002 (redox-initiated) and from µ = 0.05 ± 0.03 to µ = 0.003 ± 0.003 (UV-initiated) with increasing solution pH. With hemispherical polytetrafluoroethylene (PTFE) probes, friction coefficients of redox-initiated hydrogels similarly decreased from µ = 0.06 ± 0.01 to µ = 0.002 ± 0.001 with increasing pH. Raman spectroscopy measurements demonstrated hydrolysis and the conversion of amide groups to carboxylic acid in basic conditions. We therefore propose that the mechanism for pH-responsive friction in polyacrylamide hydrogels may be credited to hydrolysis-driven swelling through the conversion of side chain amide groups into carboxylic groups and/or crosslinker degradation. Our results could assist in the rational design of hydrogel-based tribological pairs for biomedical applications from acidic to alkaline conditions.
Graphical abstract
An Assessment of Options to Improve the Removal of Excess Nutrients from European Wastewater
Authors: Pistocchi Alberto , Grizzetti Bruna , Nielsen Per Henrik , Parravicini Vanessa , Steinmetz Heidrun , Thornberg Dines , Vigiak Olga 
Published: September 2023

Abstract
In this contribution we quantify the potential to reduce the discharge of excess nutrients with European wastewater, by modelling pollution, greenhouse gas emissions and the costs of measures under various scenarios. We analyse two types of strategies, namely extending the requirement of nutrient removal to broader areas and increasing the removal efficiency of nitrogen and phosphorus. As the former strategy usually entails some infrastructural investment while the latter entails an optimization of the existing processes, the two imply different costs, and increasing efficiency usually shows a better cost–benefit ratio. In any case, actions increasing nutrient removal are expected to pay for themselves in terms of the benefits they bring in abating water pollution and (for nitrogen) greenhouse gas emissions. Nitrogen removal becomes even more attractive whenever the infrastructural investments that we assume may be avoided, thanks to the possibility of an optimized use of the existing infrastructure. Phosphorus removal may become even more attractive with the progress of technologies for its recovery from wastewater and sludge, and with the increase of its demand for fertilizers and other industrial uses.