bluuebunny/crossref_metadata_2025_split huggingface dataset:
How coaching training transforms nurses' behaviour: The effectiveness of coaching training according to objective measures
Authors: Sato Asuka , Harada Nobue , Suzukamo Yoshimi , Tonomura Itsushi , Izumi Shin‐Ichi 
Published: March 2023

AbstractAimTo evaluate the transition of behavioural changes of participants before and after the training using a scale that can objectively evaluate coaching training for nurses.DesignAfter a cross‐sectional study, a quasi‐experimental study was conducted.MethodsWe examined the reliability and validity of the Coaching Skill Assessment plus (CSAplus), which was developed to measure the effectiveness of coaching training for corporate leaders. Next, a repeated measures analysis of variance was conducted on two types of coaching training for nurses conducted at a university hospital, with the CSAplus scores of participants before, 1 month and 6 months after the training as the dependent variable.ResultsThe CSAplus is a three‐factor instrument with good reliability and validity. Participants' CSAplus scores improved after training, but there were differences in the magnitude and persistence of the training effects.Public ContributionHospital staff, professional coaches and their clients were involved in data collection.
Advanced analysis of internal quantum efficiency measurements using machine learning
Authors: Abdullah‐Vetter Zubair , Dwivedi Priya , Buratti Yoann , Sowmya Arcot , Trupke Thorsten , Hameiri Ziv 
Published: March 2023

AbstractThe internal quantum efficiency (IQE) is given as the ratio between the externally collected electron current and the photon current absorbed by the device. Spectral analysis of IQE measurements is a powerful method to identify performance‐limiting mechanisms in solar cells. It also enables the extraction of key electrical and optical parameters. However, the potential of IQE measurements is only rarely fully utilized, presumably due to the significant complexity associated with the fitting process and its sensitivity to noise. In this study, machine learning is proposed as an efficient method to extract quantitative information from IQE measurements. The extraction method is automated and easy to use, providing an array of specific device parameters. By simplifying the analytical process, the developed machine learning algorithms also extract the parasitic absorption of the antireflection coating, a key parameter that is difficult to obtain by traditional methods. Although the method has been developed for and tested on silicon solar cells, it can be adapted and applied to other types of solar cells.
Dynamic elastomers based on bio‐derived crosslinker
Authors: Kumar Ashwani , Gresil Matthieu , Connal Luke A. 
Published: March 2023

AbstractPetroleum‐derived monomers are the most common building blocks for ester‐based thermosets. Bio‐derived thermoset elastomers are becoming viable alternatives to conventional thermosets. Herein, we developed a biobased vitrimer‐type thermoset elastomers using abundant and sustainable raspberry ketone as feedstock. We utilize raspberry ketone to create building blocks for dynamic oxime chemistry and crosslinked these through free radical polymerization with poly(ethylene glycol) methyl ether methacrylate as a comonomer. In contrast to other dynamic networks based on ester bonds, which need catalysts, this is undesirable since catalyst deactivation or leaching lowers its effect over time and may impair reuse. This network incorporates catalyst‐free bond exchange reactions in catalyst‐dependent polyester networks by substituting oxime‐esters for typical ester linkages. The elastomer exhibits stress relaxation, a low glass transition temperature (Tg) (−55 to −40.2°C) and tensile strength up to 5.2 ± 3.0 kPa. Furthermore, the dynamic oxime transesterification exchange mechanism allows elastomers to be reprocessed using a hot press at 160°C and 8 × 103 kPa pressure. After reprocessing, the tensile strength of elastomers can be recovered up to 78.1 ± 10.9%. This work integrates the principles of catalyst‐free dynamic exchange process and mechanical recycling coupled with biobased components to provide a rational solution towards conventional elastomers. In the future, these elastomers can be exploited for the development of hydrogels, recyclable elastomers, and commodity plastics.
Synthesis of submicron‐sized silver azide by multi‐nozzle spray flash synthesis**
Authors: Galland Guillaume , Comet Marc , Ott Anna K. , Schnell Fabien , Lallemand Bastien , Bonnet Benjamin , Spitzer Denis 
Published: March 2023

AbstractSubmicron‐sized powders of silver azide (AgN3) were prepared by Curtius’ reaction between silver nitrate (AgNO3) and sodium azide (NaN3) in aqueous solutions by a new process: the Spray Flash Synthesis (SFS). The SFS process consists in spraying the two precursor solutions in a heated atomization chamber (130–190 °C), maintained under low vacuum (15–30 kPa). The reaction occurs in the droplets which have collided; the final size of particles is limited by the fast evaporation of water and the small amount of matter available in each droplet which can be considered as an individual micro‐reactor. The mean particle sizes of silver azide synthesized by the SFS process range from 220 nm to 390 nm, which means that these particles are three times smaller than those obtained by the conventional precipitation method. Submicron‐sized AgN3 powders can be initiated by a photographic flash.
PK/PD modeling to characterize placebo and treatment effect of omalizumab for chronic spontaneous urticaria
Authors: Oh Elise , Wada Russ , Le Kha , Zheng Yanan , Jin Jin , Poon Victor , Wong Kit , Owen Ryan , Yoshida Kenta 
Published: March 2023

AbstractThe pharmacokinetic (PK) characteristics of omalizumab and its pharmacodynamic (PD) effect in patients has yet to be fully characterized in chronic spontaneous urticaria, which could elucidate its pathogenesis and treatment response. This study has two objectives; (1) characterize the population PK of omalizumab and its PD effect on IgE, and (2) develop a drug effect model of omalizumab in urticaria (via change in weekly itch severity score). The target‐mediated population of PK/PD model incorporating omalizumab‐IgE binding and turnover adequately described PK and PD of omalizumab. The effect compartment model and linear drug effect and additive placebo response adequately described placebo and treatment effects of omalizumab. Several baseline covariates were identified for PK/PD and drug effect models. The developed model has the potential to aid in understanding variability in PK/PD as well as response to omalizumab treatment.
Adaptive compensation control of nonlinear systems with unknown actuator failures
Authors: Wei Lu , Zhang Zhengqiang 
Published: March 2023

AbstractIn this paper, by using bound estimation method, Nussbaum function, K‐filters and higher‐order Lyapunov function, an adaptive output feedback compensation control scheme is proposed for uncertain nonlinear systems with infinite number of actuator failures and unknown control direction. A parametric model with unknown system uncertainties and infinite actuator failures is established, which is different from the existing results. This scheme ensures that closed‐loop signals are globally uniformly bounded. By properly selecting the design parameters, the tracking errors converges to a small neighborhood of the origin. Finally, two simulation examples are given to demonstrate its efficiency of the proposed design scheme.
Combining unmanned aerial vehicles and satellite imagery to quantify areal extent of intertidal brown canopy‐forming macroalgae
Authors: Lewis Pippa H. , Roberts Benjamin P. , Moore Pippa J. , Pike Samuel , Scarth Anthony , Medcalf Katie , Cameron Iain 
Published: March 2023

AbstractBrown macroalgae habitats provide a range of ecosystem services, offering coastal protection, supporting and increasing biodiversity, and more recently have been recognized for their potential role as blue carbon habitats. Consequently, accurate areal estimates of these habitats are vitally important. Satellite imagery is often utilized for areal estimates of vegetated habitats due to their ability to capture vast areas but are disadvantaged by their lower resolution. In contrast, imagery collected by unmanned aerial vehicles (UAV) provide high‐resolution datasets but are unable to cover the necessary spatial scale required for calculating areal estimates at regional, national or international scales. This study successfully and accurately corrects the outputs from low‐resolution Sentinel 2 imagery to the standard of high‐resolution UAV imagery by using a novel brown algae index and a simple regression model to provide accurate spatial estimates. This model was applied to rocky shores across Wales, UK to predict a spatial extent of 6.2 km2 for three fucoid macroalgae species; Ascophyllum nodosum, Fucus vesiculosus and F. serratus. The regression model was validated in two ways. First, the data used to create the regression model was split to train and test (50:50) the model, with a root mean square error of ~8%–14%. Secondly, spatial estimates of fucoids in independent aerial imagery were assessed using aerial photography interpretation and compared to that of the regression model (7% difference). The carbon standing stock of fucoids calculated from the spatial estimate (6.2 km2) was found to be significantly lower than that of other marine carbon stores, indicating that fucoids do not significantly contribute as a blue carbon habitat based on biomass alone. This study produces a robust and accurate remote sensing technique to estimate spatial extent of macroalgae at large spatial scales, with possible worldwide applicability.
Evidence of Eu(III) Dual Binding in a PVC‐Based Electrochemical Sensor with N,N,N’,N’‐Tetrapentyl Diglycolamide (TPDGA) as the Ionophore: Potentiometric and Luminescence studies
Authors: Mahanty Bholanath , Verma Parveen K. , Mohapatra Prasanta K. 
Published: March 2023

AbstractThe present investigation deals with the development of a polyvinyl chloride (PVC) based potentiometric sensor for Eu(III) containing N,N,N’,N’‐tetrapentyl diglycolamide (TPDGA) as ionophore, 2‐nitrophenyl octylether (NPOE) as plasticizer and sodium tetraphenylborate (NaTPB) as ionic additive. The membrane with 8.7 % TPDGA, 29.7 % PVC, 59.0 % NPOE, 2.5 % NaTPB exhibited a linear response behaviour from 1.5×10−6 m to 1.1×10−2 m Eu(III) with a slope of 23.4±0.3 mV/decade and a limit of detection (LOD) of 1.2×10−6 m. The sensor showed fast response times (<5 s) and a lifetime of two months. It showed good tolerance for monovalent/divalent interfering ions and moderate/poor tolerance for trivalent ions. The membrane was characterized using photoluminesce (PL) spectroscopy which suggested NPOE can alter the nature of species in the membrane and evidence the presence of two species. The membrane can be used as an indicator electrode for the potentiometric titration of Eu(III) and in the estimation of europium in the synthetic and laboratory bearing waste which compared well with the x‐ray fluorescene (XRF) results.
Investigation on the immunotoxicity induced by Emamectin benzoate on THP‐1 macrophages based on metabolomics analysis
Authors: Wei Ziyi , Wang Weiguo , Feng Hao , Xu Wenping , Tao Liming , Li Zhong , Zhang Yang , Shao Xusheng 
Published: March 2023

AbstractEmamectin benzoate (EMB) is an insecticide extensively used in agricultural area. Assessing the toxic effects of EMB in mammals or humans and its endogenous metabolites alteration are the appropriate means of evaluating its risks to human health. In the study, THP‐1 macrophage, a human immune model, was applied to investigate the immunotoxicity of EMB. A global metabolomics approach was developed to analyze metabolic perturbation on macrophages and discover the potential biomarkers of EMB‐induced immunotoxicity. The results indicated that EMB could inhibit immune functions of macrophages. Based on metabolomics analysis, our results illustrated that EMB caused significant alterations in metabolic profiles on macrophages. 22 biomarkers associated with immune response were screened by pattern recognition and multivariate statistical analysis. Furthermore, pathway analysis identified purine metabolism was the most relevant pathway in the metabolic process and the abnormal conversion of AMP to xanthosine regulated by NT5E might be a potential mechanism of immunotoxicity induced by EMB. Our study provides important insights for understanding and underlying mechanism of immunotoxicity exposed to EMB.
An extensible vector toolkit and parts library for advanced engineering of plant genomes
Authors: Chamness James C. , Kumar Jitesh , Cruz Anna J. , Rhuby Elissa , Holum Mason J. , Cody Jon P. , Tibebu Redeat , Gamo Maria Elena , Starker Colby G. , Zhang Feng , Voytas Daniel F. 
Published: March 2023

AbstractPlant biotechnology is rife with new advances in transformation and genome engineering techniques. A common requirement for delivery and coordinated expression in plant cells, however, places the design and assembly of transformation constructs at a crucial juncture as desired reagent suites grow more complex. Modular cloning principles have simplified some aspects of vector design, yet many important components remain unavailable or poorly adapted for rapid implementation in biotechnology research. Here, we describe a universal Golden Gate cloning toolkit for vector construction. The toolkit chassis is compatible with the widely accepted Phytobrick standard for genetic parts, and supports assembly of arbitrarily complex T‐DNAs through improved capacity, positional flexibility, and extensibility in comparison to extant kits. We also provision a substantial library of newly adapted Phytobricks, including regulatory elements for monocot and dicot gene expression, and coding sequences for genes of interest such as reporters, developmental regulators, and site‐specific recombinases. Finally, we use a series of dual‐luciferase assays to measure contributions to expression from promoters, terminators, and from cross‐cassette interactions attributable to enhancer elements in certain promoters. Taken together, these publicly available cloning resources can greatly accelerate the testing and deployment of new tools for plant engineering.
Massless spin 2 interacting with massive higher spins in d = 3
Authors: Zinoviev Yu. M. 
Published: March 2023

Abstract
In this paper we consider massless spin 2 interacting with the massive arbitrary spin fermions in d = 3. First of all, we study all possible deformations for the massive fermion unfolded equations in presence of a massless spin-2 field. We find three linearly independent solutions one of which corresponds to the standard gravitational interactions. Then for all three cases we reconstruct appropriate Lagrangian formulation.
Activating NKG2C Receptor: Functional Characteristics and Current Strategies in Clinical Applications
Authors: Siemaszko Jagoda , Marzec-Przyszlak Aleksandra , Bogunia-Kubik Katarzyna 
Published: March 2023

AbstractThe interest in NK cells and their cytotoxic activity against tumour, infected or transformed cells continuously increases as they become a new efficient and off-the-shelf agents in immunotherapies. Their actions are balanced by a wide set of activating and inhibitory receptors, recognizing their complementary ligands on target cells. One of the most studied receptors is the activating CD94/NKG2C molecule, which is a member of the C-type lectin-like family. This review is intended to summarise latest research findings on the clinical relevance of NKG2C receptor and to examine its contribution to current and potential therapeutic strategies. It outlines functional characteristics and molecular features of CD94/NKG2C, its interactions with HLA-E molecule and presented antigens, pointing out a key role of this receptor in immunosurveillance, especially in the human cytomegalovirus infection. Additionally, the authors attempt to shed some light on receptor’s unique interaction with its ligand which is shared with another receptor (CD94/NKG2A) with rather opposite properties.
More than 1000 genotypes are required to derive robust relationships between yield, yield stability and physiological parameters: a computational study on wheat crop
Authors: Wang Tien-Cheng , Casadebaig Pierre , Chen Tsu-Wei 
Published: March 2023

AbstractKey messageUsing in silico experiment in crop model, we identified different physiological regulations of yield and yield stability, as well as quantify the genotype and environment numbers required for analysing yield stability convincingly.AbstractIdentifying target traits for breeding stable and high-yielded cultivars simultaneously is difficult due to limited knowledge of physiological mechanisms behind yield stability. Besides, there is no consensus about the adequacy of a stability index (SI) and the minimal number of environments and genotypes required for evaluating yield stability. We studied this question using the crop model APSIM-Wheat to simulate 9100 virtual genotypes grown under 9000 environments. By analysing the simulated data, we showed that the shape of phenotype distributions affected the correlation between SI and mean yield and the genotypic superiority measure (Pi) was least affected among 11 SI.Piwas used as index to demonstrate that more than 150 environments were required to estimate yield stability of a genotype convincingly and more than 1000 genotypes were necessary to evaluate the contribution of a physiological parameter to yield stability. Network analyses suggested that a physiological parameter contributed preferentially to yield orPi. For example, soil water absorption efficiency and potential grain filling rate explained better the variations in yield than inPi; while light extinction coefficient and radiation use efficiency were more correlated withPithan with yield. The high number of genotypes and environments required for studyingPihighlight the necessity and potential of in silico experiments to better understand the mechanisms behind yield stability.
The Strong Converse Exponent of Discriminating Infinite-Dimensional Quantum States
Authors: Mosonyi Milán 
Published: March 2023

AbstractThe sandwiched Rényi divergences of two finite-dimensional density operators quantify their asymptotic distinguishability in the strong converse domain. This establishes the sandwiched Rényi divergences as the operationally relevant ones among the infinitely many quantum extensions of the classical Rényi divergences for Rényi parameter $$\alpha >1$$

α
>
1

. The known proof of this goes by showing that the sandwiched Rényi divergence coincides with the regularized measured Rényi divergence, which in turn is proved by asymptotic pinching, a fundamentally finite-dimensional technique. Thus, while the notion of the sandwiched Rényi divergences was extended recently to density operators on an infinite-dimensional Hilbert space (in fact, even for states of an arbitrary von Neumann algebra), these quantities were so far lacking an operational interpretation similar to the finite-dimensional case, and it has also been open whether they coincide with the regularized measured Rényi divergences. In this paper we fill this gap by answering both questions in the positive for density operators on an infinite-dimensional Hilbert space, using a simple finite-dimensional approximation technique. We also initiate the study of the sandwiched Rényi divergences, and the related problem of the strong converse exponent, for pairs of positive semi-definite operators that are not necessarily trace-class (this corresponds to considering weights in a general von Neumann algebra setting). This is motivated by the need to define conditional Rényi entropies in the infinite-dimensional setting, while it might also be interesting from the purely mathematical point of view of extending the concept of Rényi (and other) divergences to settings beyond the standard one of positive trace-class operators (positive normal functionals in the von Neumann algebra setting). In this spirit, we also discuss the definition and some properties of the more general family of Rényi $$(\alpha ,z)$$

(
α
,
z
)

-divergences of positive semi-definite operators on an infinite-dimensional separable Hilbert space.
The biopsychosocial impact of hypermobility spectrum disorders in adults: a scoping review
Authors: Clark Natalie L. , Johnson Melissa , Rangan Amar , Kottam Lucksy , Swainston Katherine 
Published: March 2023

AbstractJoint hypermobility affects approximately 30% of the United Kingdom (UK) population, characterised by the ability to move joints beyond the physiological limits. Associated conditions include Ehlers-Danlos syndrome and hypermobility spectrum disorders, affecting individuals across physical, psychological and social levels detrimentally impacting their health and wellbeing. The scoping review aims to describe the known biopsychosocial impact of joint hypermobility conditions in adults over the last decade. Additional objectives include to (1) identify the types of studies that address these factors, (2) to understand how the impact of the condition is measured and managed and (3) what healthcare professionals (HCPs) are involved. The scoping review was conducted using the five-stage framework by Arksey and O’Malley. The search strategy related to two main keywords, “hypermobility” and, “biopsychosocial” across a number of electronic databases. A pilot search was conducted to determine the suitability of the databases and terms. Following the search, the data was extracted and charted, summarised and narratively reported. 32 studies met the inclusion criteria. The majority were conducted in either the UK or United States of America and case–control in design. The biopsychosocial impact was wide-ranging including, but not limited to, musculoskeletal system and dermatology, gastroenterology, mood and anxiety disorders, education and employments. This review is the first of its kind to summarise all reported symptoms and impact of joint hypermobility conditions in adults, highlighting a clear need to promote a multidisciplinary and holistic approach in raising awareness of these conditions and improving their management.