bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of transformational leadership on the person–organization fit of Chinese nurses: The moderating effect of emotional intelligence
Authors: Liu Nan , Wang Lin , Yin Jiemei 
Published: March 2023

AbstractAimsTo explore the relationships between transformational leadership and person–organization fit, as well as to test the moderating effects of emotional intelligence.DesignA descriptive cross‐sectional study design was used to conduct an online questionnaire survey among 326 nurses in Chinese hospitals between March and June 2022.MethodsTransformational leadership, person–organization fit and emotional intelligence were measured using the Person–Organization Fit Scale, Transformational Leadership Questionnaire and Emotional Intelligence Scale. Hierarchical multiple linear regression models and simple slope analyses were used.ResultsTransformational leadership had a significant positive impact on person–organization fit. Furthermore, emotional intelligence had a conditional moderating effect on the relationship between transformational leadership and nurses’ person–organization fit. Under a high level of emotional intelligence, transformational leadership had a stronger positive effect on person–organization fit, while under a low level of emotional intelligence, the relationship between the two was not significant.ConclusionTransformational leadership has a positive predictive effect on person–organization fit, but this positive predictive effect is driven by conditional effect. The emotional intelligence of nurses plays a moderating role between them.
Saliva interleukin‐17 levels are decreased in patients with severe oral candidiasis
Authors: Ohga Noritaka , Sakata Ken‐ichiro , Hato Hiroyuki , Asaka Takuya , Sato Jun , Kitagawa Yoshimasa 
Published: March 2023

AbstractAimOral candidiasis is often complicated by other oral diseases, and long‐term follow‐up is essential because oral candidiasis often recurs. Failure to provide appropriate treatment for oral candidiasis will lead to persistence of the fungal cell in the oral cavity and increase the risk of severe oral candidiasis and recurrence of infection. We hypothesized that various inflammatory cytokines are involved in the pathogenesis and progression of oral candidiasis.MethodsWe measured cytokine levels in the saliva samples of candida‐negative and candida‐positive patients.ResultsSaliva interleukin (IL)‐17 concentrations were significantly lower in patients with oral candidiasis than in healthy individuals. Saliva IL‐17A concentrations were significantly lower in candida‐positive patients than in candida‐negative patients. However, the levels of tumor necrosis factor‐α, IL‐2, IL‐4, IL‐5, and IL‐6 showed no significant differences between the two groups of patients.ConclusionSaliva IL‐17A levels were significantly lower in patients with severe oral candidiasis, providing a potentially highly useful indicator for the pathogenesis and progression of severe oral candidiasis.
Lead(II) sulfide micro‐crystals doped graphene nanosheets dispersed thermoplastic and multifunctional poly(benzoxazines) cured epoxy resin nanocomposites for medium temperature proton exchange membrane fuel cell applications
Authors: Kesava Munusamy , Saravanan Velautham , Krishnan Srinivasan , Dinakaran Kannaiyan 
Published: March 2023

AbstractThe amphiphilic polybenzoxazines‐co‐epoxy membrane (POPBOs/PTGP) was created by thermally cross‐linking the multi‐functional octylamine‐based benzoxazine monomer (OPBOs) with synthesized 1,3,5‐tris(oxiran‐2‐yl methoxy)benzene epoxy monomer (TGP). Fourier transform infrared spectroscopy, powder x‐ray diffraction, scanning electron microscopy, and high‐resolution transmission electron microscopy were used to investigate the functionality, crystallinity, and morphology of microcrystal lead(II) sulfide (PbS)/graphene nanosheets (mPbS/GNs). The bare POPBOs/PTGP and different amounts of mPbS/GNs dispersed polymer nanocomposites (PNCs) were obtained from the thermal curing process. Following that, these PNCs were used in medium‐temperature proton exchange membrane fuel cells. The water uptake, ion exchange capacity (IEC), swelling ratio, oxidative stability, and proton conductivity (PC) of bare and loaded mPbS/GNs hybrid nanostructures on POPBOs/PTGP composite membranes were determined. 3 wt% mPbS/GNs distributed with POPBOs/PTGP PNCs exhibit the highest IEC value of 3.61 mmol/g−1 at room temperature, and a PC value of around 6.33 × 10−2 S/cm−1 at 120°C was obtained for the POPBOs/PTGP PNCs. In addition, the single‐cell electrode analysis of the 3 wt% mPbS/GNs‐filled POPBOs/PTGP amphiphilic PNCs showed excellent peak power density and open circuit voltage values of 0.897 W cm−2 and 0.97 V at 120°C.
Targeted muscle reinnervation and regenerative peripheral nerve interfaces for pain prophylaxis and treatment: A systematic review
Authors: Mauch Jaclyn T. , Kao Dennis S. , Friedly Janna L. , Liu Yusha 
Published: March 2023

AbstractObjectiveNerve pain frequently develops following amputations and peripheral nerve injuries. Two innovative surgical techniques, targeted muscle reinnervation (TMR) and regenerative peripheral nerve interfaces (RPNI), are rapidly gaining popularity as alternatives to traditional nerve management, but their effectiveness is unclear.Literature SurveyA review of literature pertaining to TMR and RPNI pain results was conducted. PubMed and MEDLINE electronic databases were queried.MethodologyStudies were included if pain outcomes were assessed after TMR or RPNI in the upper or lower extremity, both for prophylaxis performed at the time of amputation and for treatment of postamputation pain. Data were extracted for evaluation.SynthesisSeventeen studies were included, with 14 evaluating TMR (366 patients) and three evaluating RPNI (75 patients). Of these, one study was a randomized controlled trial. Nine studies had a mean follow‐up time of at least 1 year (range 4–27.6 months). For pain treatment, TMR and RPNI improved neuroma pain in 75%–100% of patients and phantom limb pain in 45%–80% of patients, averaging a 2.4–6.2‐point reduction in pain scores on the numeric rating scale postoperatively. When TMR or RPNI was performed prophylactically, many patients reported no neuroma pain (48%–100%) or phantom limb pain (45%–87%) at time of follow‐up. Six TMR studies reported Patient‐Reported Outcomes Measurement Information System (PROMIS) scores assessing pain intensity, behavior, and interference, which consistently showed a benefit for all measures. Complication rates ranged from 13% to 31%, most frequently delayed wound healing.ConclusionsBoth TMR and RPNI may be beneficial for preventing and treating pain originating from peripheral nerve dysfunction compared to traditional techniques. Randomized trials with longer term follow‐up are needed to directly compare the effectiveness of TMR and RPNI with traditional nerve management techniques.
Water activated by the atmospheric air streamer‐to‐spark transition discharge over its surface
Authors: Zhao Zhiguo , Liu Guoqiang , Li Guofeng , Ni Weiyuan , Liu Dongping 
Published: March 2023

AbstractHere, we report on the optimized design for the needle‐to‐plane electrode geometry to generate the atmospheric air streamer‐to‐spark transition discharge over the surface of the water at the pulsed voltage of ±30 kV. This design contributes to an increase in the electric field at the head of air surface streamers during their propagation, which eventually evolves into a spark over water. The length of streamer‐to‐spark transition discharge is up to 150 mm, which is affected by the conductivity of water, the electrode polarity, and the horizontal distance between the high‐voltage pin electrode and the grounded plane electrode. Water is quickly activated by the streamer‐to‐spark transition discharge, which can be attributed to the dissolution of plasma‐generated species including long‐lived and short‐lived reactive species in the gas phase. Compared to the negative streamer‐to‐spark transition discharge, the positive one is more effective in increasing the biological reactivity of water. Analysis indicates that the positive ions in the positive surface streamers can dissolve in water, which contributes to the formation of reactive species in water, thus an increase in the biological reactivity of water.
Plasma activation mechanisms governed by specific energy input: Potential and perspectives
Authors: Hegemann Dirk 
Published: March 2023

AbstractIn a low‐temperature plasma, the electrons pick up energy from the electric field in collisions with atoms and molecules, gaining high kinetic energy that must be sufficient for ionizing reactions to sustain the plasma. For molecular gases, an average energy per heavy gas particle is thus available in the plasma, the specific energy input, yielding plasma activation by inelastic collisions. Following a distribution law, the probability for the activation mechanism can be described by an Arrhenius‐like equation. The potential of this approach is demonstrated on the basis of plasma polymerization and plasma CO2conversion. For perspective, energy efficiencies are discussed as a function of conversion indicating the optimum that can be achieved by electron impact activation compared with additional ways of energy transfer, probably depending on certain constraints.
Controllable Preparation of Nanosized LiMnPO4/C with Rod‐Like Morphology by Hydrothermal Method with Excellent Electrochemical Performance
Authors: Zhang Da‐Jun , Luo Shao‐Hua , Zhang Jun 
Published: March 2023

AbstractThe nanosized rod‐like LiMnPO4/C cathode materials have successfully in situ synthesized on the surface of flaky structure MnPO4·H2O self‐sacrificing template by the hydrothermal method. The crystal microstructure, micro shape, and electrochemical parameters of LiMnPO4/C are comprehensively studied by XRD, SEM, TEM, and electrochemical measurement methods. The physical and chemical properties analysis confirms that the vinyl acetate solution (VAc‐H2O) with a proper molar ratio is beneficial to generate orthorhombic olivine structure LiMnPO4 with microporous structure and nanorod‐shaped morphology. The electrochemical measurement results indicate that LMP‐X1‐AA sample delivers an initial discharge capacity of 148.1 mAh g−1 at 0.05 C, the capacity retention rate still maintains at 89.2% after 200 cycles. As the discharge rate increases to 1 C, the discharge capacity still remains at 133.4 mAh g−1. The results indicate that the synergistic effect of nanosized rod‐like morphology and conductive carbon coating is beneficial to improving the lithium ions diffusivity and electrochemical properties of LiMnPO4 materials.
Ca2+ ions facilitate the organization of the Annexin A2/S100A10 heterotetramer
Authors: Lindsay Samuel , Bartolotti Libero , Li Yumin 
Published: March 2023

AbstractAnnexin A2 (A2) is a member of the Annexin family, which contains Ca2+‐regulated phospholipid‐binding proteins. Annexins associate with S100 proteins to form heterotetramers. The A2/S100A10 heterotetramer (A2t) is the most extensively studied of these heterotetramers. It induces membrane microdomain formation, causes membrane budding, and facilitates proliferation of some cancers. In this work, the first molecular dynamics (MD) study on the complete A2t of 868 amino acids was performed. MD trajectories of more than 600 ns each were generated for complete A2t complexes with and without Ca2+ ions. The outward extension of membrane‐binding residues A2‐K279 and A2‐K281 was shown to be inhibited in the absence of Ca2+ as they were captured by Ca2+‐binding residue D322. F‐actin binding residue A2‐D339 was observed to occupy either an exposed or buried state in the absence of Ca2+, while it only occupied the buried state in the presence of Ca2+. The observed motions of the A2t subunits are highly organized with a strongly correlated central region which is negatively correlated with the periphery of the complex. The central region contains the S100A10 (p11) dimer, A2‐N, and A2‐I, while the periphery contains A2‐II, A2‐III, and A2‐IV. Novel interactions between A2 and p11 were identified. A2 residues outside of A2‐N (K80, R77, E82, and R145) had strong interactions with p11. Residue R145 of A2 may have a significant effect on the dynamics of the system, with its interaction resulting in asymmetric motions of A2. The presented results provide novel insights to inform future experimental studies.
Coevolutionary analysis of Forkhead box protein P3 and its physical binary interactors E3 ubiquitin‐protein ligase CHIP, Zfp‐90, and nuclear receptor ROR‐α
Authors: D'Amico Fabio , Skarmoutsou Evangelia , Libra Massimo 
Published: March 2023

AbstractForkhead box protein P3 (FOXP3) is known to orchestrate the development and maintenance of T regulatory cells, a cell population specialized in immune suppression and peripheral immune tolerance. FOXP3 activity is fine‐tuned through its interaction with several protein‐binding partners. By using IntAct database, we retrieved three physical binary interactors: E3 ubiquitin‐protein ligase CHIP, Zfp‐90, and nuclear receptor ROR‐α. Coevolution clusters between FOXP3 and its interactors were identified with the use of iBIS2 algorithm, the iterative version of BIS/BIS2. Most of the coevolving pairs came from some species of monotremes and marsupials, as well as from a group of bats, thus suggesting that protein interactions of FOXP3 with its partners may be changed and/or modulated during mammalian speciation. Furthermore, our analysis would suggest the occurrence of a determinant role of FOXP3 in suppressing pregnancy alloreactions in placental mammals. Similarly, FOXP3, through its interaction with different protein interaction mechanisms, would explain the unique control of inflammatory response to infections in bats. By identifying several inter‐protein clusters between the different protein pairs, our findings may provide a guide for new therapeutic approaches to modulate T regulatory suppression and/or enhance immune tolerance.
Relationship between factor VIII levels and bleeding for rFVIII‐SingleChain in severe hemophilia A: A repeated time‐to‐event analysis
Authors: Bukkems Laura H. , Jönsson Siv , Cnossen Marjon H. , Karlsson Mats O. , Mathôt Ron A. A. ,   the OPTI‐CLOT studies and the SYMPHONY consortium
Published: March 2023

AbstractPublications on the exposure‐effect relationships of factor concentrates for hemophilia treatment are limited, whereas such analyses give insight on treatment efficacy. Our objective was to examine the relationship between the dose, factor VIII (FVIII) levels and bleeding for rFVIII‐SingleChain (lonoctocog alfa, Afstyla). Data from persons with severe hemophilia A on rFVIII‐SingleChain prophylaxis from three clinical trials were combined. The published rFVIII‐SingleChain population pharmacokinetic (PK) model was evaluated and expanded. The probability of bleeding was described with a parametric repeated time‐to‐event (RTTE) model. Data included 2080 bleeds, 2545 chromogenic stage assay, and 3052 one‐stage assay FVIII levels from 241 persons (median age 19 years) followed for median 1090 days. The majority of the bleeds occurred in joints (65%) and the main bleeding reason was trauma (44%). The probability of bleeding decreased during follow‐up and a FVIII level of 8.9 IU/dL (95% confidence interval: 6.9–10.9) decreased the bleeding hazard by 50% compared to a situation without FVIII in plasma. Variability in bleeding hazard between persons with similar FVIII levels was large, and the pre‐study annual bleeding rate explained part of this variability. When a FVIII trough level of 1 or 3 IU/dL is targeted during prophylaxis, simulations predicted two (90% prediction interval [PI]: 0–17) or one (90% PI: 0–11) bleeds per year, respectively. In conclusion, the developed PK‐RTTE model adequately described the relationship between dose, FVIII levels and bleeds for rFVIII‐SingleChain. The obtained estimates were in agreement with those published for the FVIII concentrates BAY 81‐8973 (octocog alfa) and BAY 94‐9027 (damoctocog alfa pegol), indicating similar efficacy to reduce bleeding.
An intelligent indicator for warning of short‐term high CO2 damage to garlic scapes
Authors: Hu Hanyan , Bai Yahui , Li Haichuan , Li Keyi , Hu Yunfeng , Chen Junran 
Published: March 2023

AbstractA pH‐sensitive indicator film based on CO2 change was prepared by mixing a water‐soluble indicator (bromocresol green and chlorophenol red sodium) with a film‐forming carrier (methyl cellulose (MC), polyvinyl alcohol (PVA) and glycerin). The innovation is not only to analyse the response characteristics of the colorimetric indicator to CO2, but also to optimise the preparation parameters of the film. The response experiment showed that CO2 dissolved rapidly in water and the pH value remained unchanged after reaching equilibrium, with a one‐to‐one relationship between pH and CO2 concentration. As the CO2 concentration rose from 18% to 20%, the colour of the indicator film changed from blue–purple to yellow–green in a different colour space, allowing the change to be easily distinguished by the naked eye. The optimum parameters (13 g‧L−1 MC, 5 g‧L−1 PVA, 10 g‧L−1 glycerin, 15 ml‧L−1 indicator and a casting amount of 0.2 ml‧cm−2) for preparing the intelligent film were optimised based on puncture strength (PS), water vapour permeability (WVP), water solubility (WS), casting time (CT) and colour performance. Evaluating this application using garlic scapes stored at 15°C revealed that the total colour difference was 34.23 as the CO2 concentration increased from 18.7% to 20.4%, and the colour of the indicator film changed from blue–purple to yellow–green. Therefore, the intelligent packaging film was able to effectively provide a warning when garlic scapes were exposed to damage from a short‐term high CO2 level.
Analog ensemble data assimilation in a quasigeostrophic coupled model
Authors: Grooms Ian , Renaud Camille , Stanley Zofia , Yang L. Minah 
Published: March 2023

AbstractThe ensemble forecast dominates the computational cost of many data assimilation methods, especially for high‐resolution and coupled models. In situations where the cost is prohibitive, one can either use a lower‐cost model or a lower‐cost data assimilation method, or both. Ensemble optimal interpolation (EnOI) is a classical example of a lower‐cost ensemble data assimilation method that replaces the ensemble forecast with a single forecast and then constructs an ensemble about this single forecast by adding perturbations drawn from climatology. This research develops lower‐cost ensemble data assimilation methods that add perturbations to a single forecast, where the perturbations are obtained from analogs of the single model forecast. These analogs can either be found from a catalog of model states, constructed using linear combinations of model states from a catalog, or constructed using generative machine‐learning methods. Four analog ensemble data assimilation methods, including two new ones, are compared with EnOI in the context of a coupled model of intermediate complexity: Q‐GCM. Depending on the method and on the physical variable, analog methods can be up to 40% more accurate than EnOI.
Supervised machine learning to estimate instabilities in chaotic systems: Estimation of local Lyapunov exponents
Authors: Ayers Daniel , Lau Jack , Amezcua Javier , Carrassi Alberto , Ojha Varun 
Published: March 2023

AbstractIn chaotic dynamical systems such as the weather, prediction errors grow faster in some situations than in others. Real‐time knowledge about the error growth could enable strategies to adjust the modelling and forecasting infrastructure on the fly to increase accuracy and/or reduce computation time. For example, one could change the ensemble size, the distribution and type of target observations, and so forth. Local Lyapunov exponents are known indicators of the rate at which very small prediction errors grow over a finite time interval. However, their computation is very expensive: it requires maintaining and evolving a tangent linear model, orthogonalisation algorithms and storing large matrices. In this feasibility study, we investigate the accuracy of supervised machine learning in estimating the current local Lyapunov exponents, from input of current and recent time steps of the system trajectory, as an alternative to the classical method. Thus machine learning is not used here to emulate a physical model or some of its components, but “nonintrusively” as a complementary tool. We test four popular supervised learning algorithms: regression trees, multilayer perceptrons, convolutional neural networks, and long short‐term memory networks. Experiments are conducted on two low‐dimensional chaotic systems of ordinary differential equations, the Rössler and Lorenz 63 models. We find that on average the machine learning algorithms predict the stable local Lyapunov exponent accurately, the unstable exponent reasonably accurately, and the neutral exponent only somewhat accurately. We show that greater prediction accuracy is associated with local homogeneity of the local Lyapunov exponents on the system attractor. Importantly, the situations in which (forecast) errors grow fastest are not necessarily the same as those in which it is more difficult to predict local Lyapunov exponents with machine learning.
The rare case of Hurricane Catarina (2004) over the South Atlantic Ocean: The origin of its precipitation through a Lagrangian approach
Authors: Pérez‐Alarcón Albenis , Coll‐Hidalgo Patricia , Fernández‐Alvarez José C. , Trigo Ricardo M. , Nieto Raquel , Gimeno Luis 
Published: March 2023

AbstractTropical cyclones (TCs) are extremely rare over the South Atlantic Ocean (SATL) due to predominantly unfavourable conditions, that is, cool sea‐surface temperature and strong vertical wind shear. Nevertheless, unusual conditions over SATL associated with a blocking system promoted the formation of Hurricane Catarina from an extratropical precursor in late March 2004, which produced heavy rainfall over the states of Santa Catarina and the Rio Grande do Sul in south Brazil. This work identifies the moisture sources for the precipitation produced by Catarina along its 6‐hourly trajectory, through a Lagrangian moisture‐tracking method. We extracted the pathways of precipitating air parcels within the cyclone's outer radius from the global outputs of the FLEXPART model forced with the ERA‐Interim reanalysis. Our findings revealed the terrestrial source in south‐southeastern Brazil (SEB) and the oceanic source limited by the box between 20‐40°S and 30–50°W over SATL (WSATL) as the principal moisture sources, with the overall support of ∼27% and ∼66%, respectively. However, their contribution varied according to the development phase of Catarina. While the moisture uptake from SEB decreased from ∼75% during the extratropical phase to ∼8% during the hybrid stage, the moisture contribution from WSATL notable increased from ∼20% to 87%, respectively. Likewise, the contributions from SEB and WSATL during the tropical phase of the cyclone accounted for ∼13% and ∼85%, respectively. The tracked air parcels achieved the high water content in a short period before the precipitation, leading to a reduction of the mean water vapour residence time to ∼3.1 days. Additionally, the precipitating moisture uptake along the Catarina trajectory was noticeably higher than the climatological value.