bluuebunny/crossref_metadata_2025_split huggingface dataset:
The forerunners and successful partnerships behind the BioNTech mRNA vaccine
Authors: Aygün Ilkin , Barciszewski Jan 
Published: October 2023

AbstractThe discovery of nucleic acids stands as a paramount achievement in the history of scientific endeavors. By applying transformative advancements in the fields of chemistry and physics to biological systems, researchers unveiled the enigmatic nature of life. Notably, messenger RNA (mRNA) emerged as a crucial player in this profound revelation, serving as a transient intermediary for genetic information transfer between genes and proteins. Groundbreaking investigations carried out from 1944 to 1961 led to the initial identification of this pivotal molecule, captivating scientific interest for the past three decades. The field of mRNA research has witnessed a transformative shift owing to the development of cap analogs and nucleotide modifications. This revolutionary progress has fostered a new generation of potent therapeutics. Prior to the advent of the coronavirus pandemic, numerous scientists had already begun exploring the unique properties of mRNA. However, with the onset of the pandemic, mRNA catapulted into the limelight as a heroic agent, providing the foundation for highly effective vaccines that have played a crucial role in mitigating the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The successive generations of cap analogs have significantly enhanced the translation efficacy of mRNA, while the discovery of suitable purification, packaging, and delivery methods has paved the way for groundbreaking medical breakthroughs. Pioneers in the field such as Katalin Karikó, Drew Weissman, Edward Darzynkiewicz, Robert Rhodes, Ugur Sahin, and Ozlem Tureci have made significant contributions during the early stages of mRNA research, warranting acknowledgement for their visionary endeavors. The narrative of mRNA represents a remarkable journey marked by a succession of breakthroughs in a discipline that holds immense promise for the future of medicine. Thanks to the pioneering work of these exceptional scientists, we are well-positioned to unlock the full potential of this extraordinary molecule, ushering in a new era of medical advancements.
The impact of dependencies between climate risks on the asset and liability side of non-life insurers
Authors: Gatzert Nadine , Özdil Onur 
Published: October 2023

AbstractThe aim of this paper is to examine the impact of dependencies between climate transition and physical risks on the default probability and profitability of a non-life insurer focusing on the scenario of a delayed and sudden transition. Toward this end, we suggest a simplified modeling approach for scenario analyses for climate risks affecting assets and liabilities, taking into account potential nonlinear dependence structures. Our results show that dependencies on the liability side and between assets and liabilities in the context of physical-transition scenarios can have a significant impact, particularly on the default risk of a non-life insurer. We additionally analyze the mitigating effects of stop loss reinsurance and risk-adjusted pricing, which—if implementable—seem to be an effective risk management measure against physical climate risks in particular.
A novel integrated approach based on best–worst and VIKOR methods for green supplier selection under multi-granularity extended probabilistic linguistic environment
Authors: Zhu Chuanjin , Wang Xia 
Published: October 2023

AbstractWith consideration for the extensive resources consumption and environmental degradation being on the rise today, implementing green development strategy to pursue both socioeconomic growth and the coordinated of environment sustainability, has become an increasingly important issue in modern enterprise supply chain operations management. Hence, the appropriate green supplier selection (GSS), viewed as a core issue in green supply chain management (GSCM), requires continuous research in this field to obtain a complete perception on GSS practices. It can be regarded as a multi-attribute group decision-making (MAGDM) problem that involves many conflict and unmeasurable evaluation criteria. In view of the superiority of multi-granularity extended probabilistic linguistic term sets (MGEPLTSs) in modeling such issues on potential ambiguity, complexity and uncertainty in actual GSS practices, we propose a novel integrated MAGDM methodology for GSS problems, by integrating the BWM (best–worst method) with the VIKOR (VIšekriterijumsko KOmpromisno Rangiranje) technique under the MGEPLTSs environment. First, by introducing the multi-granularity and probabilistic linguistic term sets, the MGEPLTSs are proposed to represent and quantify the decision information of GSCM practitioners. Then, the BWM is introduced to the MGEPLTSs environment to compute the weights of decision-making panels and evaluation attributes in GSS problems, by building the fuzzy mathematical programming model, respectively. Finally, we extend a multi-granularity extended probabilistic linguistic VIKOR method to calculate the compromise measure of alternatives considering the group utility maximization and the individual regret minimization, thereby achieving the full ranking of alternatives. A GSS case is conducted to illustrate the feasibility of the proposed approach, and the sensitivity analysis and comparative analysis with other similar approaches are presented to demonstrate its effectiveness and advantages.
Engineering Fe-N4 Electronic Structure with Adjacent Co-N2C2 and Co Nanoclusters on Carbon Nanotubes for Efficient Oxygen Electrocatalysis
Authors: Wu Mingjie , Yang Xiaohua , Cui Xun , Chen Ning , Du Lei , Cherif Mohamed , Chiang Fu-Kuo , Wen Yuren , Hassanpour Amir , Vidal François , Omanovic Sasha , Yang Yingkui , Sun Shuhui , Zhang Gaixia 
Published: October 2023

AbstractRegulating the local configuration of atomically dispersed transition-metal atom catalysts is the key to oxygen electrocatalysis performance enhancement. Unlike the previously reported single-atom or dual-atom configurations, we designed a new type of binary-atom catalyst, through engineering Fe-N4 electronic structure with adjacent Co-N2C2 and nitrogen-coordinated Co nanoclusters, as oxygen electrocatalysts. The resultant optimized electronic structure of the Fe-N4 active center favors the binding capability of intermediates and enhances oxygen reduction reaction (ORR) activity in both alkaline and acid conditions. In addition, anchoring M–N–C atomic sites on highly graphitized carbon supports guarantees of efficient charge- and mass-transports, and escorts the high bifunctional catalytic activity of the entire catalyst. Further, through the combination of electrochemical studies and in-situ X-ray absorption spectroscopy analyses, the ORR degradation mechanisms under highly oxidative conditions during oxygen evolution reaction processes were revealed. This work developed a new binary-atom catalyst and systematically investigates the effect of highly oxidative environments on ORR electrochemical behavior. It demonstrates the strategy for facilitating oxygen electrocatalytic activity and stability of the atomically dispersed M–N–C catalysts.
Can Job Demands and Job Resources Predict Bystander Behaviour in Workplace Bullying? A Longitudinal Study
Authors: Holm Kristoffer , Jönsson Sandra , Muhonen Tuija 
Published: October 2023

AbstractBystanders can affect workplace bullying by engaging in active or passive behaviours. However, there is a knowledge gap regarding how perceived work environment factors relate to bystander behaviour. The study aim was to investigate how job demands, and job resources are associated with bystander behaviour in workplace bullying. An online questionnaire was distributed to a sample of health care workers at two time points. Longitudinal data were obtained from 1144 respondents. Cross-lagged panel models were used to investigate associations between job demands, job resources, and bystander behaviours over time. The results showed that social support was positively related to active behaviours, whereas influence at work was negatively related to both active and passive behaviours. Perceived illegitimate tasks were negatively related to active and positively related to passive behaviours, whereas emotional demands had an unanticipated opposite pattern of relationships. The findings provide new information about how factors in the organisational and social work environment are associated with active and passive bystander behaviours in workplace bullying. Specifically, the results expand current understanding of workplace bullying by relating bystander behaviour to the organisational context.
Induction of Tolerance in Groundnut Plants Against Drought Stress and Cercospora Leaf Spot Disease with Exogenous Application of Arginine and Sodium Nitroprusside Under Field Conditions
Authors: Bakhoum Gehan Sh. , Sadak Mervat Sh. , Thabet Marian S. 
Published: October 2023

AbstractNaturally, under field conditions, plants are regularly experienced by a mixture of two or more stress factors. Drought is a major abiotic stress, and fungal pathogens characterize a main biotic stress challenge faced by plants and impact negatively on plant development and productivity. We propose that foliar application of nitric oxide (NO) donors can have positive effects on the induction of tolerance to biotic and abiotic stress on groundnut plants. This investigation was carried out to study the changes in growth, some biochemical aspects, and yield and quality of groundnut plants as well as induction of resistance to Cercospora leaf spot disease in response to nitric oxide (NO) donors, sodium nitroprusside (SNP), and arginine (Arg) (2.5, 5.0, and 7.5 mM) under two water irrigation levels 100% and 75% of water irrigation requirements (WIR), in two field experiments through two successive growing seasons of 2021 and 2022. Decreasing irrigation water significantly reduced shoot length, branches numberplant-1, shoot fresh and dry weight, photosynthetic pigments components, endogenous indole acetic acid (IAA) contents, and yield components. Furthermore, root fresh and dry weight, phenols, total soluble sugars (TSS), proline contents, and the accumulation of hydrogen peroxide (H2O2) and lipid peroxidation of groundnut leaves increased significantly. Contrarily, foliar application with Arg and SNP alleviated the negative influences of drought on growth and productivity of groundnut plants via enhancing photosynthetic pigments, IAA, phenolic compounds, TSS, and proline contents. Additionally, SNP and Arg significantly decreased oxidative damage through decreasing H2O2 and lipid peroxidation by the induction of antioxidant enzymes. Remarkably, the increase of drought level led to a reduction in Cercospora leaf spot (CLS) disease with the use of high concentrations of both Arg and SNP. Interestingly, in both stressed and unstressed plants, SNP treatment at 7.5 mM was the most effective in reducing the incidence and severity of disease, while Arg at 2.5 mM recorded the lowest reduction compared to other treatments. In conclusion, foliar treatment of either SNP or Arg is a profound effect on modulating the drought stress and induction of resistance to Cercospora leaf spot disease of groundnut plants throughout regulating physiological and biochemical processes associated with photosynthesis and oxidative responses.
The Coevolution of Descriptive and Evaluative Beliefs in Aldo Leopold’s Thinking
Authors: Millstein Roberta L. 
Published: October 2023

AbstractThe founder of conservation biology, Michael Soulé, set out a vision for conservation biology that was explicitly value-laden, analogous to cancer-biology. In so doing, he drew on the writings of Aldo Leopold, known among philosophers primarily for his land ethic. Employing and extending the work of Anderson (2004) and Clough (2020), I argue that the Leopoldian views that Soulé was drawing on were the product of the coevolution of descriptive and evaluative beliefs over the course of Leopold’s life, grounded in his experiences, resulting in tested and reliable—albeit defeasible—values underlying conservation biology.
Modeling Scaffolded Development into the Adjacent Possible Environment
Authors: Griesemer James 
Published: October 2023

AbstractI characterize a role for “environments” as ecological scaffolding of organism development in the evolution of novelty. I interpret Rainey’s bacterial experimental system for empirically modeling evolutionary transition to multicellularity as an ecological-developmental problem in terms of a formal model of Kauffman’s concept of evolution into the “adjacent possible.” I propose a scenario to interpret scaffolds dynamically, treating them as organisms modeled in the same way as the developing systems they scaffold, rather than as fixed constraint boundary conditions. The scenario suggests avenues for mathematically modeling scaffolding dynamics.
Path-Dependence in Measurement: A Problem for Coherentism
Authors: Thompson Morgan 
Published: October 2023

AbstractRacial discrimination is a multidimensional concept. Yet, subjective measures of racial discrimination focus on particular dimensions (interpersonal over institutional, attributable over ambiguously attributable). I argue that there is path dependence in the development and validation of subjective measures, such that existing scales prevent the development of scales that are better for some purpose. Path dependence can occur when researchers: (1) adopt a coherentist view of measurement, namely, in iteratively refining constructs and measures and (2) employ current psychometric validation practices. The main takeaway is that norms are needed to evaluate the initial refinement of the construct rather than taking it for granted.
Strategic Constraints on Interacting Fields: Quantum Chemistry and Organic Chemistry
Authors: Goodwin William 
Published: October 2023

AbstractThe interaction between scientific fields may be subject to strategic constraints—that is, fruitful interaction between fields may require adapting one field to the strategies informing the other. One way the concepts within an interfield field develop is by recrafting concepts originating in one practice in terms compatible with the strategies guiding the other. This conceptual accommodation may be a prerequisite to fruitful interactions between fields with different central problems. I explore these themes by considering the strategic constraints operative in the interfield field of quantum chemistry and the conceptual accommodation required for application to organic chemistry.
Longitudinal associations between psychedelic use and meditation practices in the United States and the United Kingdom
Authors: Simonsson Otto , Osika Walter , Stenfors Cecilia U. D. , Goldberg Simon B. , Honk Ludwig , Hendricks Peter S. 
Published: October 2023

AbstractBackgroundPrevious research has proposed that there may be potential synergies between psychedelic and meditation interventions, but there are still knowledge gaps that merit further investigation.MethodsUsing a longitudinal observational research design with samples representative of the US and UK adult population with regard to sex, age, and ethnicity (N = 9732), we investigated potential associations between self-reported psychedelic use and meditation practice.ResultsThe follow-up survey was completed by 7667 respondents (79% retention rate), with 100 respondents reporting psychedelic use during the 2-month study period (1.3% of follow-up respondents). In covariate-adjusted regression models, psychedelic use during the study period was associated with greater increases in the number of days of mindfulness meditation practice in the past week (B = 0.40, p = 0.004). Among those who reported psychedelic use during the study period, covariate-adjusted regression models revealed that the subjective experience of insight during respondents' most intense psychedelic experience in that period was also associated with greater increases in the number of days of mindfulness and loving-kindness or compassion meditation practice in the past week (B = 0.42, p = 0.021; B = 0.38, p = 0.017). Notably, more days of loving-kindness or compassion meditation practice in the past week at baseline was associated with less severe subjective feelings of death or dying during respondents' most intense psychedelic experience in the study period (B = −0.29, p = 0.037).ConclusionsPsychedelic use might lead to greater engagement with meditation practices such as mindfulness meditation, while meditation practices such as loving-kindness or compassion medication might buffer against certain challenging experiences associated with psychedelic use.
Unveiling shadows: analyzing suicide reporting in Muslim-majority countries vis-à-vis WHO’s media guidelines
Authors: Mahesar Rameez A. , Shahid Sana , Asif Saba , Khoso Abdul K. , Kar Sujita K. , Shabbir Taha 
Published: October 2023

AbstractNumerous studies have been conducted globally to assess the compliance level of newspapers with the World Health Organization’s media guidelines for responsible suicide reporting. To identify and review such studies conducted in Muslim-majority countries between 2014 and 2022, we searched PubMed and Google Scholar databases. We identified 12 eligible studies from Pakistan (n = 4), Bangladesh (n = 2), Malaysia (n = 1), Indonesia (n = 1), Iraq (n = 1), Iran (n = 1), Nigeria (n = 1), and Egypt (n = 1). These studies indicated an overall lack of adherence to the guidelines. However, the level of nonadherence was particularly high in Pakistan. Effective suicide prevention programs may help in promoting responsible reporting of suicide.
Understanding demand for flexible pension payouts: evidence from the Netherlands
Authors: Dillingh Rik , Zumbuehl Maria 
Published: October 2023

AbstractThis study examines the interest in different pension payout schemes when full annuitization is the default. We focus on three possible pension payout schemes: a flat-rate annuity, a high/low annuity-based profile, and a partial lump sum at retirement with a lower flat-rate annuity after that. We make use of a vignette study and find substantial interest in each of the three payout schemes. Interest in the lump sum scheme increases when a higher percentage can be taken out as a lump sum or when interest rates or replacement rates are lower. Interest in a high/low annuity-based profile increases when the high annuity is valid for a shorter period.
COVID-19 risk, course and outcome in people with mental disorders: a systematic review and meta-analyses
Authors: Molero Patricio , Reina Gabriel , Blom Jan Dirk , Martínez-González Miguel Ángel , Reinken Aischa , de Kloet E. Ronald , Molendijk Marc L. 
Published: October 2023

Abstract

Aims
It has been suggested that people with mental disorders have an elevated risk to acquire severe acute respiratory syndrome coronavirus 2 and to be disproportionally affected by coronavirus disease 19 (COVID-19) once infected. We aimed to analyse the COVID-19 infection rate, course and outcome, including mortality and long COVID, in people with anxiety, depressive, neurodevelopmental, schizophrenia spectrum and substance use disorders relative to control subjects without these disorders.

Methods
This study constitutes a preregistered systematic review and random-effects frequentist and Bayesian meta-analyses. Major databases were searched up until 27 June 2023.

Results
Eighty-one original articles were included reporting 304 cross-sectional and prospective effect size estimates (median n per effect-size = 114837) regarding associations of interest. Infection risk was not significantly increased for any mental disorder that we investigated relative to samples of people without these disorders. The course of COVID-19, however, is relatively severe, and long COVID and COVID-19-related hospitalization are more likely in all patient samples that we investigated. The odds of dying from COVID-19 were high in people with most types of mental disorders, except for those with anxiety and neurodevelopmental disorders relative to non-patient samples (pooled ORs range, 1.26–2.57). Bayesian analyses confirmed the findings from the frequentist approach and complemented them with estimates of the strength of evidence.

Conclusions
Once infected, people with pre-existing mental disorders are at an elevated risk for a severe COVID-19 course and outcome, including long COVID and mortality, relative to people without pre-existing mental disorders, despite an infection risk not significantly increased.
Characteristics of Lunar Surface Electrons Inferred From ARTEMIS Observations: 1. Backscattered Electrons
Authors: Xu Shaosui , Poppe Andrew R. , Szabo Paul S. , Harada Yuki , Halekas Jasper S. , Chamberlin Phillip C. 
Published: October 2023

AbstractLunar surface charging is a scientifically and practically important topic at the Moon that is largely determined by the electron currents near the surface. Among those electron populations, lunar photoelectrons (PHE) and backscattered electrons (BSE) produced by incident electrons that make up the high‐energy tail of lunar emitted electrons are not well characterized yet. Recently, Xu et al. (2021, https://doi.org/10.1029/2020je006790) reported oxygen Auger electron observations at the Moon by the Acceleration, Reconnection, Turbulence, and Electrodynamics of the Moon's Interaction with the Sun spacecraft, which provides a unique feature to identify lunar photoelectrons. We utilize this feature to isolate cases of emitted electrons dominated by BSE over PHE. With selected BSE cases, we characterize how the backscattering coefficient η varies with primary electron energy, which decreases with increasing energy. Our results also reveal η to be dependent on the magnetic dip angle, as a fraction of BSE re‐impact the surface in a magnetized environment. The characterization of the backscattering coefficient not only gives insights into the lunar surface properties and lunar surface charging but could also be potentially applied to other airless bodies.
Ensemble Forecasts of Solar Wind Connectivity to 1 Rs Using ADAPT‐WSA
Authors: da Silva D. E. , Wallace S. , Arge C. N. , Jones S. 
Published: October 2023

AbstractThe solar wind which arrives at any location in the solar system is, in principle, relatable to the outflow of solar plasma from a single source location. This source location, itself usually being part of a larger coronal hole, is traceable to 1 RS along the Sun's magnetic field, in which the entire path from 1 RS to a location in the heliosphere is referred to as the solar wind connectivity. While not directly measurable, the connectivity between the near‐Earth solar wind is of particular importance to space weather. The solar wind solar source region can be obtained by leveraging near‐sun magnetic field models and a model of the interplanetary solar wind. In this article, we present a method for making an ensemble forecast of the connectivity presented as a probability distribution obtained from a weighted collection of individual forecasts from the combined Air Force Data Assimilative Photospheric Flux Transport‐Wang Sheeley Arge (ADAPT‐WSA) model. The ADAPT model derives the photospheric magnetic field from synchronic magnetogram data, using flux transport physics and ongoing data assimilation processes. The WSA model uses a coupled set of potential field type models to derive the coronal magnetic field, and an empirical relationship to derive the terminal solar wind speed observed at Earth. Our method produces an arbitrary 2D probability distribution capable of reflecting complex source configurations with minimal assumptions about the distribution structure, prepared in a computationally efficient manner.