bluuebunny/crossref_metadata_2025_split huggingface dataset:
A New Approach for Better Industrial Strategies
Authors: Criscuolo Chiara , Lalanne Guy 
Published: March 2024

Abstract
Industrial policy is back. After having been considered a taboo since the 1970s, “new industrial policies” are at the core of governments’ strategies to support countries during crises and enable the green and digital transitions. Virtually, every government has used and uses industrial policy, despite continued concerns related to anticompetitive effects, within and across countries, captured by vested interests and the opportunity cost of public funds, which economists have pointed out, based on previous unsuccessful experiences. In this paper, we contribute to the debate on industrial policy by presenting both a sound and simple framework to help design industrial policies and also data that allow the comparison of industrial strategies and their priorities across countries. First, this paper summarises our recent framework for industrial strategies, which is designed to offer practical policy advice and shed light on the complementarities between different policy instruments. Such a framework is particularly useful when designing complex mission-oriented industrial strategies promoting the green transition of the business sector. Second, this paper presents some salient results from the new “Quantifying Industrial Strategies” (QuIS) project, which gathers harmonised data on industrial policy expenditures, policy priorities, and policy instruments, thereby allowing the benchmarking of industrial strategies across countries. Based on the aforementioned conceptual framework, QuIS measures industrial policy expenditures across 9 OECD members, for the period 2019–2021. The data, now publicly available on the OECD website, show the importance of industrial policy expenditures, and the growing role of green industrial policies in countries industrial strategies.
Synthesis and Characterization of Poly(glycerol sebacate), Poly(glycerol succinate) and Poly(glycerol sebacate-co-succinate)
Authors: Godinho Bruno , Nogueira Rosana , Gama Nuno , Ferreira Artur 
Published: March 2024

AbstractIn recent years, thermoset elastomers, particularly polyesters derived from the polycondensation of glycerol and non-toxic diacids, have garnered significant interest. This study focuses on the synthesis of poly(glycerol-co-diacids) polymers using varying molar ratios of glycerol (G), sebacic acid (S), and succinic acid (Su). Seven distinct ratios were investigated (PGS (1:1), PGSSu (1:0.9:0.1), PGSSu (1:0.8:0.2), PGSSu (1:0.5:0.5), PGSSu (1:0.2:0.8), PGSSu (1:0.1:0.9) and PGSu (1:1)). The resulting polymers were analyzed using Fourier-transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), dynamic mechanical analyses (DMA), tensile tests, scanning electron microscopy (SEM), gel fraction and degree of swelling determination. Among the synthesized polymers, PGS (1:1) and PGSu (1:1) exhibited superior mechanical robustness than the polymers obtained by mixing diacids. The results show that the incorporation of succinic acid in the synthesis of the polymers progressively led to rougher surfaces and a reduction in thermal resistance compared to PGS (1:1). PGSu (1:1) showed the highest surface roughness and the lowest thermal resistance. The glass transition temperature (Tg) for these elastomers ranged from − 30 °C to 30 °C. Additionally, higher ratios of succinic acid led to increased polymer density and less degree of swelling. The gel fraction of these polymers ranged from 70 to 95%. PGS (1:1) with the lowest and PGSu (1:1) with the highest gel fraction, respectively.
Graphical Abstract
Behaviour and landscape contexts determine the effects of artificial light on two crepuscular bird species
Authors: Adams Carrie Ann , Clair Colleen Cassady St. , Knight Elly C. , Bayne Erin M. 
Published: March 2024

Abstract
Context
Artificial light at night (ALAN) is increasing worldwide, with many ecological effects. Aerial insectivores may benefit from foraging on insects congregating at light sources. However, ALAN could negatively impact them by increasing nest visibility and predation risk, especially for ground-nesting species like nightjars (Caprimulgidae).

Objectives
We tested predictions based on these two alternative hypotheses, potential foraging benefits vs potential predation costs of ALAN, for two nightjar species in British Columbia: Common Nighthawks (Chordeiles minor) and Common Poorwills (Phalaenoptilus nuttallii).

Methods
We modeled the relationship between ALAN and relative abundance using count data from the Canadian Nightjar Survey. We distinguished territorial from extra-territorial Common Nighthawks based on their wingboom behaviour.

Results
We found limited support for the foraging benefit hypothesis: there was an increase in relative abundance of extra-territorial Common Nighthawks in areas with higher ALAN but only in areas with little to no urban land cover. Common Nighthawks’ association with ALAN became negative in areas with 18% or more urban land cover. We found support for the nest predation hypothesis: the were strong negative associations with ALAN for both Common Poorwills and territorial Common Nighthawks.

Conclusions
The positive effects of ALAN on foraging nightjars may be limited to species that can forage outside their nesting territory and to non-urban areas, while the negative effects of ALAN on nesting nightjars may persist across species and landscape contexts. Reducing light pollution in breeding habitat may be important for nightjars and other bird species that nest on the ground.
Generative adversarial networks (GANs): Introduction, Taxonomy, Variants, Limitations, and Applications
Authors: Sharma Preeti , Kumar Manoj , Sharma Hitesh Kumar , Biju Soly Mathew 
Published: March 2024

AbstractThe growing demand for applications based on Generative Adversarial Networks (GANs) has prompted substantial study and analysis in a variety of fields. GAN models have applications in NLP, architectural design, text-to-image, image-to-image, 3D object production, audio-to-image, and prediction. This technique is an important tool for both production and prediction, notably in identifying falsely created pictures, particularly in the context of face forgeries, to ensure visual integrity and security. GANs are critical in determining visual credibility in social media by identifying and assessing forgeries. As the field progresses, a variety of GAN variations arise, along with the development of diverse assessment techniques for assessing model efficacy and scope. The article provides a complete and exhaustive overview of the most recent advances in GAN model designs, the efficacy and breadth of GAN variations, GAN limits and potential solutions, and the blooming ecosystem of upcoming GAN tool domains. Additionally, it investigates key measures like as Inception Score (IS) and Fréchet Inception Distance (FID) as critical benchmarks for improving GAN performance in contrast to existing approaches.
Computational aspects of simultaneous Gaussian quadrature
Authors: Laudadio T. , Mastronardi N. , Van Dooren P. 
Published: March 2024

AbstractIn this paper, we derive a new method to compute the nodes and weights of simultaneous n-point Gaussian quadrature rules. The method is based on the eigendecomposition of the banded lower Hessenberg matrix that contains the coefficients of the recurrence relations for the corresponding multiple orthogonal polynomials. The novelty of the approach is that it uses the property of total nonnegativity of this matrix associated with the particular considered multiple orthogonal polynomials, in order to compute its eigenvalues and eigenvectors in a numerically stable manner. The overall complexity of the computation of all the nodes and weights is $$\mathcal {O}(n^2)$$

O
(

n
2

)

.
Operationalizing Lasswell’s call for clarification of value goals: an equity-based approach to normative public policy analysis
Authors: Linquiti Peter 
Published: March 2024

AbstractIn 1951, Harold Lasswell defined the ability to clarify value goals as integral to a policy analyst’s job. But graduate education in public policy analysis has paid insufficient attention to the skills needed to investigate and clarify value disputes. In turn, practicing policy analysts don’t have ready access to a set of methods for normative analysis that serves Lasswell’s vision of a contextualized, holistic, and interdisciplinary policy science. I start by describing calls for more emphasis on social equity in policy analysis and explore the complementary relationship of empirical, fact-based analysis and normative, value-driven analysis. I then propose seven competencies that policy analysts should be expected to master. They need to understand how normative issues arise in and adjacent to the classical model of policy analysis. They need to master a vocabulary for normative analysis and understand how humans make moral judgments, recognizing the distinction between moral rationalism and moral intuitionism. To engage in moral rationalism, practitioners need to be able to use the tools of analytic political philosophy. When it comes to moral intuitionism, they need to recognize the emotion-driven foundations of moral judgement and personal values. Finally, policy analysts also need to know where to find the values that are relevant to their analysis. Mastery of these competencies will allow analysts to better serve what Laswell describes as the intelligence needs of policymakers.
Inertial Krasnoselskii-Mann Iterations
Authors: Maulén Juan José , Fierro Ignacio , Peypouquet Juan 
Published: March 2024

AbstractWe establish the weak convergence of inertial Krasnoselskii-Mann iterations towards a common fixed point of a family of quasi-nonexpansive operators, along with estimates for the non-asymptotic rate at which the residuals vanish. Strong and linear convergence are obtained in the quasi-contractive setting. In both cases, we highlight the relationship with the non-inertial case, and show that passing from one regime to the other is a continuous process in terms of the hypotheses on the parameters. Numerical illustrations are provided for an inertial primal-dual method and an inertial three-operator splitting algorithm, whose performance is superior to that of their non-inertial counterparts.
Proposed spatial decision support system for delineating ecological corridors in green infrastructure planning constrained by lack of data: a case study in Galicia, Spain
Authors: Losada-Iglesias Rocío , García Andrés M. , Díaz-Varela Emilio , Miranda David 
Published: March 2024

AbstractIn response to the constant loss of biodiversity in European ecosystems, which is partly due to the impacts of climate change, the European Commission urges member states to include Green Infrastructure (GI) in their land-use plans. However, although the European Commission establishes the fundamental principles to be applied, the ambiguity of some terms generates a certain degree of complexity regarding the delineation of GI elements, especially Ecological Corridors (ECs). Thus, a straightforward methodology for delineating GI elements is required. Here, we propose a Spatial Decision Support System (SDSS) that could help non-expert planners identify areas with a high potential to function as ECs and that could thus facilitate the inclusion of these areas in regional GI plans. Probability distribution maps were constructed by fitting a maximum entropy model (MaxEnt) to publicly available data on selected focal species. The maps were combined with other variables that negatively affect species mobility and later inserted in a graph theory tool to determine the least-cost path that would serve as the basis for delineating ECs. The method was applied to the design of an EC network in Galicia (NW Spain), and use of the system as a tool to help spatial decision-making was evaluated. Despite some limitations, the method yielded promising results that could help non-expert planners to establish the basis for delineating EC networks and other GI elements.
Determination of caffeine in treated wastewater discharged in the Nile River with emphasis on the effect of zinc and physicochemical factors
Authors: Tawfik Nouran A. I. , El-Bakary Zienab A. , Abd El-Wakeil Khaleid F. 
Published: March 2024

AbstractThe present study aimed to investigate the occurrence of caffeine residues in the Nile River according to drainage of treated wastewater at Assiut, Egypt, and the effects of physicochemical parameters and zinc on its concentration. Four different sites were selected to perform the study: S, wastewater treatment plant (WWTP) canal (source site); J, a junction site between WWTP canal and the Nile; R, a reference site in the Nile before J site; and A, a site located after J site in the Nile. Water and sediment samples were collected in Summer 2022 and Winter 2023. Caffeine and Zn concentrations and physicochemical parameters were measured in the collected samples. The caffeine concentrations in water samples ranged from 5.73 to 53.85 μg L−1 at S in winter and summer, respectively, while those in sediment ranged from 0.14 mg kg−1 at R in winter to 1.54 mg kg−1 at S in summer. Caffeine and Zn concentrations were higher in summer samples. The Water Quality Index (WQI) of the collected samples recorded the lowest values in winter season at S and J sites. The study found that caffeine and zinc concentrations are positively correlated with water temperature and conductivity, while negatively correlated with pH. The association between caffeine and Zn highlights the environmental impact of heavy metals and pharmaceutical residues, and stresses the need for future research on these interactions.
Mean-field ranking games with diffusion control
Authors: Ankirchner S. , Kazi-Tani N. , Wendt J. , Zhou C. 
Published: March 2024

AbstractWe consider a stochastic differential game, where each player continuously controls the diffusion intensity of her own state process. The players must all choose from the same diffusion rate interval $$[\sigma _1, \sigma _2]$$

[

σ
1

,

σ
2

]

, and have individual random time horizons that are independently drawn from the same distribution. The players whose states at their respective time horizons are among the best $$p \in (0,1)$$

p
∈
(
0
,
1
)

of all terminal states receive a fixed prize. We show that in the mean field version of the game there exists an equilibrium, where the representative player chooses the maximal diffusion rate when the state is below a given threshold, and the minimal rate else. The symmetric n-fold tuple of this threshold strategy is an approximate Nash equilibrium of the n-player game. Finally, we show that the more time a player has at her disposal, the higher her chances of winning.
What Is A Family? A Constitutive-Affirmative Account
Authors: Lee J. Y. , Bentzon R. , Di Nucci E. 
Published: March 2024

AbstractBio-heteronormative conceptions of the family have long reinforced a nuclear ideal of the family as a heterosexual marriage, with children who are the genetic progeny of that union. This ideal, however, has also long been resisted in light of recent social developments, exhibited through the increased incidence and acceptance of step-families, donor-conceived families, and so forth. Although to this end some might claim that the bio-heteronormative ideal is not necessary for a social unit to count as a family, a more systematic conceptualization of the family—the kind of family that matters morally—is relatively underexplored in the philosophical literature. This paper makes a start at developing and defending an account of the family that is normatively attractive and in line with the growing prevalence of non-conventional families and methods of family-formation. Our account, which we call a constitutive-affirmative model of the family, takes the family to be constituted by an ongoing process of relevant affective and affirmative relations between the putative family members.
Acute effects of high-intensity exercise on brain mechanical properties and cognitive function
Authors: McIlvain Grace , Magoon Emily M. , Clements Rebecca G. , Merritt Alexis , Hiscox Lucy V. , Schwarb Hillary , Johnson Curtis L. 
Published: March 2024

AbstractPrevious studies have shown that engagement in even a single session of exercise can improve cognitive performance in the short term. However, the underlying physiological mechanisms contributing to this effect are still being studied. Recently, with improvements to advanced quantitative neuroimaging techniques, brain tissue mechanical properties can be sensitively and noninvasively measured with magnetic resonance elastography (MRE) and regional brain mechanical properties have been shown to reflect individual cognitive performance. Here we assess brain mechanical properties before and immediately after engagement in a high-intensity interval training (HIIT) regimen, as well as one-hour post-exercise. We find that immediately after exercise, subjects in the HIIT group had an average global brain stiffness decrease of 4.2% (p < 0.001), and an average brain damping ratio increase of 3.1% (p = 0.002). In contrast, control participants who did not engage in exercise showed no significant change over time in either stiffness or damping ratio. Changes in brain mechanical properties with exercise appeared to be regionally dependent, with the hippocampus decreasing in stiffness by 10.4%. We also found that one-hour after exercise, brain mechanical properties returned to initial baseline values. The magnitude of changes to brain mechanical properties also correlated with improvements in reaction time on executive control tasks (Eriksen Flanker and Stroop) with exercise. Understanding the neural changes that arise in response to exercise may inform potential mechanisms behind improvements to cognitive performance with acute exercise.
Network analysis used to investigate the interplay among somatic and psychological symptoms in patients with cancer and cancer survivors: a scoping review
Authors: Doppenberg-Smit G. Elise , Lamers Femke , van Linde Myra E. , Braamse Annemarie M. J. , Sprangers Mirjam A. G. , Beekman Aartjan T. F. , Verheul Henk M. W. , Dekker Joost 
Published: March 2024

Abstract
Purpose
Patients with cancer often experience multiple somatic and psychological symptoms. Somatic and psychological symptoms are thought to be connected and may reinforce each other. Network analysis allows examination of the interconnectedness of individual symptoms. The aim of this scoping review was to examine the current state of knowledge about the associations between somatic and psychological symptoms in patients with cancer and cancer survivors, based on network analysis.

Methods
This scoping review followed the five-stage framework of Arksey and O’Malley. The literature search was conducted in May, 2023 in PubMed, APA PsycINFO, Embase Cochrane central, and CINAHL databases.

Results
Thirty-two studies were included, with eleven using longitudinal data. Seventeen studies reported on the strength of the associations: somatic and psychological symptoms were associated, although associations among somatic as well as among psychological symptoms were stronger. Other findings were the association between somatic and psychological symptoms was stronger in patients experiencing more severe symptoms; associations between symptoms over time remained rather stable; and different symptoms were central in the networks, with fatigue being among the most central in half of the studies.

Implications for Cancer Survivors
Although the associations among somatic symptoms and among psychological symptoms were stronger, somatic and psychological symptoms were associated, especially in patients experiencing more severe symptoms. Fatigue was among the most central symptoms, bridging the somatic and psychological domain. These findings as well as future research based on network analysis may help to untangle the complex interplay of somatic and psychological symptoms in patients with cancer.
Transitional Pain Service: An Update
Authors: Klimke Ruben , Ott Alexander , Romero Carolina S. , Berendes Andrea , Urman Richard D. , Luedi Markus M. , Ashok Vighnesh 
Published: March 2024

Abstract
Purpose of Review
Chronic Postsurgical Pain (CPSP) and the risk for long-term opioid dependency are known complications following major surgery. The idea of Transitional Pain Service (TPS) has been introduced as an interdisciplinary setting to manage pain in the perioperative continuum. We expand on the basic framework and principles of TPS and summarize the current evidence of the TPS and possible interventions to adress postoperative pain. Areas of future work in TPS-related research are discussed.

Recent Findings
Several studies support the effectiveness of TPS in reducing opioid consumption in the perioperative period and following discharge. Some studies also show an improvement in functional outcome with TPS with patients reporting lower pain severity and pain interference.

Summary
The TPS aims to halt the progress of acute postoperative pain to CPSP by providing longitudinal support with patient-centered care. While some studies suggest a positive impact of TPS implementation in terms of reduction in postoperative opioid consumption and improvement of some functional outcomes, direct evidence in terms of reduction in the incidence of CPSP is still missing. The cost-effectiveness of TPS and the expansion of TPS through e-health services and digital applications also need to be evaluated.
Effects of antibiotics ceftriaxone and levofloxacin on the growth of Protophormia terraenovae (Diptera: Calliphoridae)
Authors: Preußer Daniel , Fischer Thomas , Juretzek Thomas 
Published: March 2024

Abstract

Protophormia terraenovae is a colonizer of decomposing bodies and is known to cause pre-mortem myiasis as the female flies lay eggs in uncleaned wounds. In this study the effects of different concentrations of antibiotics levofloxacin and ceftriaxone on maggot development, weight, length, and mortality were examined. The maggot length and weight were significantly increased by therapeutical doses of levofloxacin and ceftriaxone. The maggot development time was significantly decreased in every levofloxacin treatment compared to the control. The time to start pupation was significantly increased in the control compared to the antibiotic treatments. Levofloxacin significantly increased the survivability of the maggots. Every levofloxacin treatment significantly improved the rearing conditions for the maggots. Reaching the third instar was delayed by 24 h in the control compared to the Levo 3.57 treatment. The Pupation in the control was delayed by an average of 48 h compared to the Levo 3.57 treatment. The significantly reduced development time of the maggots in the antibiotic treatments might lead to an overestimation of the post-mortem interval and therefore an incorrect time of death determination. The improved rearing conditions may be an indication of the potential of a combined application of antibiotics and maggot therapy.