bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanism and target treatment of primary immunodeficiency diseases with systemic lupus erythematosus‐like phenotype
Authors: Liu Shan , Zhang Zhiyong , Tang Xuemei , Zhao Xiaodong , An Yunfei 
Published: May 2024

AbstractPrimary immunodeficiency diseases (PIDs) present a heterogeneous group of diseases with aberrant immune response caused by monogenic mutations. Due to the immune dysfunction and dysregulation, PIDs have a wide clinical spectrum such as infections, autoimmunity, autoinflammation, allergy, and malignancies. Systemic lupus erythematosus (SLE) is a systemic autoimmune disease characterized with multiple autoantibodies and multiple organ damage, which could be the predominant phenotype in patients with PIDs. In recent years, the increasing identification of monogenic causes of SLE and PIDs discloses the partially shared genetic background and common pathogenic process. The study of PIDs with SLE‐like phenotype paves the way for the exploration of lupus pathogenesis and new perspectives in targeted therapies concurrently.
Feasibility of incorporating recycled multilayer LDPE/EVOH films into flexible packaging
Authors: Barros Carolina , Carneiro O. S. , Machado A. V. 
Published: May 2024

AbstractMultilayer films are widely used in the food industry because they allow the combination of properties of different materials to increase product shelf life without sacrificing product value. Despite the associated benefits, these films are difficult to recycle due to material immiscibility and difficult layer separation. Thus, the purpose of this research is to investigate the feasibility of incorporating recycled plastic material from the multi‐material film industry into extruded films for food packaging. To simulate the thermomechanical recycling, two different post‐industrial polymeric wastes of low‐density polyethylene (LDPE) (with linear low‐density polyethylene (LLDPE) or with ethylene vinyl alcohol (EVOH)), were reprocessed four times in a single‐screw extruder. Moreover, these polymeric wastes were blended with virgin LDPE to improve the extrusion process control and to assess their effect on the blend properties. The extrusion experiments demonstrate that reprocessing of multilayer films and processing of their blends with virgin LDPE is feasible. Moreover, the mechanical and thermal properties of the corresponding films are not negatively affected when compared with those of virgin LDPE films. Nevertheless, the optical properties of recycled EVOH films, were lower than those of virgin LDPE or recycled LLDPE, with high haze and low gloss.Highlights
Two multilayer film scraps were reprocessed and blended with virgin LDPE.
Thin film samples were produced by blown film extrusion.
Films containing EVOH presented the worst optical properties.
The presence of EVOH did not negatively affect the extrusion process.
Mechanical and thermal properties were not significantly affected.
Does creativity matter in personality traits and emotional intelligence?
Authors: Akpur Uğur 
Published: May 2024

AbstractCreativity has long been consistently assessed as a fundamental aspect of educational psychology and has been treated with much devotion by scholars. In this study, intricate relationship patterns between creativity, emotional intelligence, and personality traits were examined. The Marmara Creative Thinking Dispositions Scale, Trait Emotional Intelligence Questionnaire‐Short Form (TEIQue‐SF), and The Ten‐Item Personality Inventory (TIPI) were administered to a cohort of 297 university students attending a university in İstanbul. The findings unveiled important insights into how these components interact. Employing correlational analysis to examine the relationships among the variables, it was found that while agreeableness did not exhibit a significant correlation with creativity, the remaining traits within the Big Five personality dimensions—openness to experience (r = .63), emotional stability (r = .29), conscientiousness (r = .38), and extraversion (r = .49)—displayed positively significant associations with creativity (p < .01), suggesting that individuals characterized by greater openness to experience, emotional stability, conscientiousness, and extraversion tend to exhibit higher levels of creativity in academic settings. That the link between emotional intelligence and creativity highlights a noteworthy association implies that individuals possessing higher levels of emotional intelligence are more likely to excel in creative endeavors. Regression analysis was employed to determine the specific contributions of each personality characteristic to creativity. Interestingly, when examining the predictive value of these factors, conscientiousness did not emerge as a statistically significant predictor of creativity. In contrast, both openness to experiences and extraversion exhibited strong predictive power, significantly influencing creativity. Similarly, emotional intelligence continued to be a significant predictor of creativity, reinforcing its role as a catalyst for innovative thinking. The results imply that individuals with higher levels of openness to experience, emotional stability, conscientiousness, and extraversion tend to be more creative in academic settings, highlighting the significance of emotional intelligence in promoting creative thinking and points out its potential to support creative endeavors.
Application of nurse‐led CINV management scheme based on risk assessment in breast cancer patients
Authors: Ning Yun , Zhang Liuliu , Zhi Xiaoxu , Zhao Yun , Fang Ying , Wu Bing , Xu Zhujie , Huang Lixin , Pei Yi 
Published: May 2024

AbstractBackgroundAs one of the common adverse reactions after chemotherapy in breast cancer patients, chemotherapy‐induced nausea and vomiting (CINV) seriously affects the quality of life of breast cancer patients.ObjectiveTo explore the application effect of nurse‐led CINV management scheme based on risk assessment in breast cancer patients.MethodsThe researchers selected 90 breast cancer patients who received chemotherapy at Jiangsu Cancer Hospital from June 1, 2022, to June 1, 2023. The patients were divided into control group and intervention group. The control group implemented the routine nursing mode, and the intervention group implemented the nurse‐led intervention program based on risk assessment. On this basis, the intervention group applied the symptom management theory to the construction of intervention strategy to compare the CINV situation, quality of life, and psychological distress level between the two groups.ResultsThe frequency of vomiting and the degree of nausea in the delayed stage were lower in the intervention group than in the control group, and the difference was statistically significant (p<.05). The life function index of nausea and vomiting in acute stage and delayed stage was higher in the intervention group than in the control group, and the differences were statistically significant (p<.05). The psychological pain scores of the two groups in the acute stage and the delayed stage were lower in the intervention group than in the control group, and the differences were statistically significant (p<.05).ConclusionNurse‐led CINV management scheme based on risk assessment can effectively reduce the frequency of vomiting, reduce the degree of nausea, improve the quality of life, and alleviate psychological pain in breast cancer patients.
Sensitivity of simulated rain intensity and kinetic energy to aerosols and warm‐rain microphysics during the extreme event of July 2021 in Belgium
Authors: Van Weverberg K. , Ghilain N. , Goudenhoofdt E. , Barbier M. , Koistinen E. , Doutreloup S. , Van Schaeybroeck B. , Frankl A. , Field P. 
Published: May 2024

AbstractThis article presents an evaluation and sensitivity analysis of km‐scale simulations of an unprecedented extreme rainfall event over Europe, with a specific focus on sub‐hourly extremes, size distributions, and kinetic energy (KE) of rain. These variables are critical for hydrological applications, such as flood forecasting or soil‐loss monitoring, but are rarely directly obtained from numerical weather prediction (NWP) models. The simulations presented here reproduce the overall characteristics of the event, but overestimate the extreme rain rates. The rain rate–KE relation was well‐captured, despite too large volume‐mean drop diameters. Amongst the sensitivities investigated, the representation of the raindrop self‐collection–breakup equilibrium and the raindrop size‐distribution shape were found to have the most profound impact on the rainfall characteristics. While extreme rain rates varied within 30%, the rain KE varied by a factor of four between the realistic perturbations to the microphysical assumptions. Changes to the aerosol concentration and rain terminal velocity relations were found to have a relatively smaller impact. Given the large uncertainties, a continued effort to improve the model physics will be indispensable to estimate rain intensities and KE reliably for direct hydrological applications.
CERRA, the Copernicus European Regional Reanalysis system
Authors: Ridal Martin , Bazile Eric , Le Moigne Patrick , Randriamampianina Roger , Schimanke Semjon , Andrae Ulf , Berggren Lars , Brousseau Pierre , Dahlgren Per , Edvinsson Lisette , El‐Said Adam , Glinton Michael , Hagelin Susanna , Hopsch Susanna , Isaksson Ludvig , Medeiros Paulo , Olsson Esbjörn , Unden Per , Wang Zheng Qi 
Published: May 2024

AbstractA regional reanalysis has been produced for a domain covering entire Europe from 1984 to 2021. The reanalysis is produced as part of the Copernicus Climate Change Service. The Service provides the high‐resolution deterministic Copernicus European Regional Reanalysis (CERRA), run at a horizontal resolution of 5.5 km, a 10‐member ensemble run at 11‐km resolution as well as an offline surface analysis, CERRA‐Land. CERRA‐EDA uses an ensemble data assimilation (EDA) technique to perturb the initial condition of the different members. Apart from the horizontal resolution the CERRA and CERRA‐EDA setups are the same; for example, the same data assimilation scheme, same physics parameterization as well as the same vertical levels. These new systems are built from HARMONIE cy40 version, including some back‐phased physics from a newer model version (cy42). Conventional observations, satellite‐based radiances, atmospheric motion vector winds and bending angle from radio occultation observations are used. In addition, ground‐based zenith total delay (ZTD) from global navigational satellite systems (GNSS) and local surface observations, rescued from historical archives at the local National Meteorological Services, are used. Another new feature is the construction of the background error statistics for the data assimilation. Information from the ensemble run, CERRA‐EDA, is used in the derivation of the background error statistics for the high‐resolution CERRA runs. These background error statistics are updated every second day. By doing so, daily environment variation is taken into account as well as all variations over the 37 years of production. The reanalyses and reforecasts from CERRA show an added value compared to the global ERA5 for almost all variables at the surface level. This becomes particularly clear when selecting smaller areas with complex terrain where the high resolution is beneficial. In the free atmosphere it is primarily the analyses and short forecasts, 3–6 hours, that give an added value.
A mass defect–based approach for the automatic construction of peak lists for databases of mass spectra with limited resolution: Application to time‐of‐flight secondary ion mass spectrometry data
Authors: Daoudi Mouad , Nuns Nicolas , Schiffmann Philipp , Frobert Arnaud , Hanoune Benjamin , Desgroux Pascale , Faccinetto Alessandro 
Published: May 2024

RationaleThis study has developed a data processing protocol based on mass defect analysis for the automatic construction of unique peak lists addressing the need for the fast and efficient treatment of databases of mass spectra with limited mass resolution.MethodsThe data processing protocol, implemented in MATLAB, is tested on a database of 126 mass spectra obtained from time‐of‐flight secondary ion mass spectrometry analysis of the exhaust of a laboratory diesel miniCAST burner deposited on Ti substrates.ResultsThe data processing protocol converts the mass spectra into a data matrix suitable for chemometrics (peak list) by combining mass defect analysis and multivariate analysis. In particular, the role of the mass defect analysis is expanded to improve mass calibration and automate the construction of the peak list.ConclusionsIn this context, mass defect analysis becomes an invaluable technique for the efficient processing of databases of mass spectra with limited mass resolution by allowing the fast and automated construction of a peak list common to all mass spectra, by improving the mass calibration, and finally by reducing the number of molecular formulae consistent with a given accurate mass, thus facilitating the identification of unknown ions.
Alzheimer's disease and herpes viruses: Current events and perspectives
Authors: Pinchera Biagio , Di Filippo Isabella , Cuccurullo Federica , Salvatore Elena , Gentile Ivan 
Published: May 2024

AbstractAlzheimer's disease (AD) is a real and current scientific and societal challenge. Alzheimer's disease is characterised by a neurodegenerative neuroinflammatory process, but the etiopathogenetic mechanisms are still unclear. The possible infectious aetiology and potential involvement of Herpes viruses as triggers for the formation of extracellular deposits of amyloid beta (Aβ) peptide (amyloid plaques) and intraneuronal aggregates of hyperphosphorylated and misfold could be a possible explanation. In fact, the possible genetic interference of Herpes viruses with the genome of the host neuronal cell or the stimulation of the infection to a continuous immune response with a consequent chronic inflammation could constitute those mechanisms underlying the development of AD, with possible implications in the understanding and management of the disease. Herpes viruses could be significantly involved in the pathogenesis of AD and in particular, their ability to reactivate in particular conditions such as immunocompromise and immunosenescence, could explain the neurological damage characteristic of AD. Our review aims to evaluate the state of the art of knowledge and perspectives regarding the potential relationship between Herpes viruses and AD, in order to be able to identify the possible etiopathogenetic mechanisms and the possible therapeutic implications.
Zero‐sum game‐based H∞ optimal finite‐time prescribed performance control for nonlinear multiagent systems with actuator faults
Authors: Zhang Bowen , Zhang Linchuang , Pan Yingnan 
Published: May 2024

AbstractThis article proposes an optimal leader‐follower consensus control protocol with finite‐time prescribed performance for nonlinear multiagent systems suffering from the actuator fault based on the zero‐sum game framework. First, to guarantee the specified performance of the system within a finite time frame, a novel error transformation function (ETF) is constructed. The ETF proposed in this paper can adjust the mapping range of error transformation to achieve better error convergence performance, thereby enhancing the flexibility of the controller design. Then, to compensate for the negative impact of actuator fault, an error‐related item is separated from the optimal performance index function to design an online fault estimator, which can obtain a better error estimation accuracy. Furthermore, to lessen the need for difficult‐to‐verify persistent excitation signal in adaptive dynamic programming algorithm, both historical and real‐time data are applied to adjust the updating law of neural network weight. Moreover, it demonstrates that the signals within the closed‐loop system are bounded and the expected finite‐time prescribed performance can be ensured in the presence of faults. Finally, a numerical example of multiple single‐link robots manipulator system is executed to validate the efficacy of the developed scheme.
The reverse Matilda effect: Gender bias and the impact of highlighting the contributions of women to a STEM field on its perceived attractiveness
Authors: Malecki W. P. , Kowal Marta , Krasnodębska Anna , Bruce Bertram C. , Sorokowski Piotr 
Published: May 2024

AbstractIt is often assumed that highlighting the contributions of female researchers to STEM fields may make those fields more attractive to women, thereby encouraging female participation. The present study (n = 802) aimed to test that assumption by investigating the impact of messages highlighting the contributions of women researchers to two STEM fields, (mathematics and biology) on the perception of those fields among high school students and comparing it to the impact of analogous messages concerning three nonSTEM fields. We found that these messages did not encourage women to participate in the respective academic fields, in STEM or otherwise. And more strongly they led both women and men to see that academic field as less interesting and worthy of study. We propose that the effect observed here, and previously not discussed in the literature, is the reverse of the well‐known Matilda effect. If the Matilda effect consists in a tendency to ignore or downplay the academic contributions of women based on the assumption that only men can contribute real value to research, then what we observed in our study is that that same assumption apparently makes people think that if women excel in certain fields, then those fields must be less valuable than others. We also argue that these effects are the result of gender stereotyping that takes what are supposedly male characteristics as better suited for research work than what are supposedly female characteristics. Finally, we suggest how to counteract this reverse Matilda Effect.
A consumer attributions‐based approach for investigating the effect of corporate greenwashing on wishcycling
Authors: Vayona Anastasia , Demetriou Giorgos , Hartwell Heather , Britton Robert , Gillingham Phillipa 
Published: May 2024

AbstractThis paper addresses the issue of corporate greenwashing and its impact on consumer behavior, specifically in the context of circular food and beverage packaging. We conducted a survey with 537 participants and utilized Structural Equation Modeling to analyze the relationships between company motives, consumer attributions, perceptions of greenwashing, and wishcycling behavior. Additionally, we explored the moderating effect of core self‐evaluation on the relationship between circular packaging and greenwashing techniques. Our findings highlight the mediating role of consumer perceptions of company motives in the relationship between corporate greenwashing and wishcycling. We also found that consumer personality traits, particularly core self‐evaluation, moderate the relationship between circular packaging and perceptions of greenwashing. These results emphasize the importance of understanding consumer behavior and perceptions in circular environments and policy domains. The findings provide valuable insights for policymakers, businesses, and researchers seeking to promote sustainable consumption and mitigate environmental harm in the transition toward a more circular economy.
Hollow g‐C3N4@Ag3PO4 Core–Shell Nanoreactor Loaded with Au Nanoparticles: Boosting Photothermal Catalysis in Confined Space
Authors: Xiao Yawei , Li Haoyu , Yao Bo , Xiao Kai , Wang Yude 
Published: May 2024

AbstractLow solar energy utilization efficiency and serious charge recombination remain major challenges for photocatalytic systems. Herein, a hollow core–shell Au/g‐C3N4@Ag3PO4 photothermal nanoreactor is successfully prepared by a two‐step deposition method. Benefit from efficient spectral utilization and fast charge separation induced by the unique hollow core–shell heterostructure, the H2 evolution rate of Au/g‐C3N4@Ag3PO4 is 16.9 times that of the pristine g‐C3N4, and the degradation efficiency of tetracycline is increased by 88.1%. The enhanced catalytic performance can be attributed to the ordered charge movement on the hollow core–shell structure and a local high‐temperature environment, which effectively accelerates the carrier separation and chemical reaction kinetics. This work highlights the important role of the space confinement effect in photothermal catalysis and provides a promising strategy for the development of the next generation of highly efficient photothermal catalysts.
Regulating the Critical Intermediates of Dual‐Atom Catalysts for CO2Electroreduction
Authors: Zhang Mengyang , Zhou Dingyang , Mu Xueqin , Wang Dingsheng , Liu Suli , Dai Zhihui 
Published: May 2024

AbstractElectrocatalysis is a very attractive way to achieve a sustainable carbon cycle by converting CO2into organic fuels and feedstocks. Therefore, it is crucial to design advanced electrocatalysts by understanding the reaction mechanism of electrochemical CO2reduction reaction (eCO2RR) with multiple electron transfers. Among electrocatalysts, dual‐atom catalysts (DACs) are promising candidates due to their distinct electronic structures and extremely high atomic utilization efficiency. Herein, the eCO2RR mechanism and the identification of intermediates using advanced characterization techniques, with a particular focus on regulating the critical intermediates are systematically summarized. Further, the insightful understanding of the functionality of DACs originates from the variable metrics of electronic structures including orbital structure, charge distribution, and electron spin state, which influences the active sites and critical intermediates in eCO2RR processes. Based on the intrinsic relationship between variable metrics and critical intermediates, the optimized strategies of DACs are summarized containing the participation of synergistic atoms, engineering of the atomic coordination environment, regulation of the diversity of central metal atoms, and modulation of metal‐support interaction. Finally, the challenges and future opportunities of atomically dispersed catalysts for eCO2RR processes are discussed.
Cobalt Phosphide‐Supported Single‐Atom Pt Catalysts for Efficient and Stable Hydrogen Generation from Ammonia Borane Hydrolysis
Authors: Wang Shiqi , Li Songqi , Yu Yicheng , Zhang Tianjun , Qu Jiafu , Sun Qiming 
Published: May 2024

AbstractAmmonia borane (AB) has emerged as a promising chemical hydrogen storage material. The development of efficient, stable, and cost‐effective catalysts for AB hydrolysis is the key to achieving hydrogen energy economy. Here, cobalt phosphide (CoP) is used to anchor single‐atom Pt species, acting as robust catalysts for hydrogen generation from AB hydrolysis. Thanks to the high Pt utilization and the synergy between CoP and Pt species, the optimized Pt/CoP‐100 catalyst exhibits an unprecedented hydrogen generation rate, giving a record turnover frequency (TOF) value of 39911 and turnover number of 2926829 at room temperature. These metrics surpass those of all existing state‐of‐the‐art supported metal catalysts by an order of magnitude. Density functional theory calculations reveal that the integration of single‐atom Pt onto the CoP substrate significantly enhances adsorption and dissociation processes for both water and AB molecules, thereby facilitating hydrogen production from AB hydrolysis. Interestingly, the TOF value is further elevated to 54878 under UV–vis light irradiation, which can be attributed to the efficient separation and mobility of photogenerated carriers at the Pt‐CoP interface. The findings underscore the effectiveness of CoP as a support for single‐atom metals in hydrogen production, offering insights for designing high‐performance catalysts for chemical hydrogen storage.