bluuebunny/crossref_metadata_2025_split huggingface dataset:
Smart aggregation‐induced emission polymers: Preparation, properties and bio‐applications
Authors: Zhang Guiquan , Fu Xinyao , Zhou Daming , Hu Rong , Qin Anjun , Tang Ben Zhong 
Published: March 2023

AbstractOwing to the outstanding photophysical properties, organic luminescent materials featuring aggregation‐induced emission (AIE) characteristics have attracted wide attention in various fields. Numerous researches focused on low‐mass AIE luminogens, and relatively less attention has been paid on AIE polymers and the related applications, in spite of the fact that AIE polymers exhibit excellent advantages of processability, multifunctional integration and synergistic effects. In this review, we briefly summarize and discuss the superiorities of AIE polymers in preparation, properties and bio‐applications, and the considerable progress in these aspects are introduced as well. Finally, the structure‐property relationship, challenges and opportunities are also discussed. Hopefully, this review will be a trigger for smart AIE polymer research and further broaden their applications.
Making Space for Young Children's Embodied Cultural Literacies and Heritage Languages with Dual Language Books
Authors: Si‘ilata Rae K. , Jacobs Mary M. , Gaffney Janet S. , Aseta Martha , Hansell Kyla 
Published: March 2023

AbstractThe Pasifika Early Literacy Project supports teachers to make space for the languages and cultures of Pacific children and families in early childhood settings in Aotearoa New Zealand. Dual‐language books in five Pacific languages and English validate Pacific children's languages, literacies, and identities. We highlight teacher practices following professional learning and development workshops. Teachers are invited to challenge dominant monocultural notions of language and literacy that perpetuate educational inequities. Illustrations of early childhood teachers' innovations with Pacific children (aged 2–6 years) demonstrate how dual‐language texts can be connected to families' embodied cultural literacies. Understandings of “literacy” and “reading” were expanded to include children's expressive modalities through oral and visual texts in heritage languages and English. This work highlights the role of teachers to connect, rather than replace, the worldviews, languages, and literacies of families with the pedagogical practices of early childhood settings.
Trends in removal of pharmaceuticals in contaminated water using waste coffee and tea‐based materials with their derivatives
Authors: Madikizela Lawrence Mzukisi , Pakade Vusumzi Emmanuel 
Published: March 2023

AbstractThe introduction of large amounts of pharmaceuticals into the environmental waters is well‐documented in literature with their occurrence reported in all different water matrices accessible to humans and animals. At the same time, the increasing consumption of coffee and tea‐based beverages results in the generation of solid waste, which is mostly disposed‐off in the environment. To minimize environmental pollution, coffee and tea‐based materials have been proposed as suitable options to remove pharmaceuticals in environmental waters. Therefore, this article provides a critical review on the preparation and applications of coffee and tea‐based materials in removing pharmaceuticals from contaminated water. In this context, most studies in literature focused on the applications of these materials as adsorbents, while only limited work on their role in degradation of pharmaceuticals is discussed. The successful application in adsorption studies is attributed to high surface areas of adsorbents and the ability to easily modify the adsorbent surfaces by incorporating functional groups that provide additional oxygen atoms, which promote easy interactions with pharmaceuticals. Hence, the adsorption mechanisms are mostly described by hydrogen bonding, electrostatic and π–π interactions with sample pH playing a dominant role in the adsorption process. Overall, the present article focused on the developments, trends and future research direction on the preparations and applications of coffee and tea‐based materials for efficient removal of pharmaceuticals in water.Practitioner Points

Review of tea and coffee wastes application for removal of pharmaceuticals in water
Key applications in adsorption and degradation of pharmaceuticals in water
Removal mostly explained by hydrogen bonding, electrostatic, and π–π interactions
Trends, gaps, and future research to be explored are reviewed and highlighted
Schwerstverletztenversorgung mit aktiver Blutung unter Apixaban und gerinnungsrelevanter Restaktivität
Authors: Maegele Marc , Stolz Benedikt , Trojan Stefan , Lazarevits Igor , Linde Martin , Meyer-Zillekens Jürgen , Formesyn Mathias , von der Leyen Eliza , Limper Ulrich 
Published: March 2023

ZusammenfassungDirekte orale Antikoagulanzien (DOAK) werden zunehmend zur Prophylaxe thrombembolischer Ereignisse eingesetzt. Ihr Umgang, insbesondere in Notfallsituationen, gestaltet sich schwierig, da Spiegelmessungen oft nicht zeitnah zur Verfügung stehen und bis vor Kurzem keine Möglichkeit zur Antagonisierung bestand. Es wird die notfallmäßige Behandlung eines Schwerstmehrfachverletzten mit lebensbedrohlicher traumatischer Blutung unter Dauertherapie mit dem Faktor-Xa-Hemmer Apixaban, viskoelastizitätsbasierter Detektion gerinnungsrelevanter Restaktivität bei Schockraumaufnahme und gezielter Wirkungsaufhebung beschrieben.
Wide temperature range magnetoresistance enhancement of La0.67Ca0.33MnO3: NiO nanocomposites
Authors: Lau L. N. , Hon X. T. , Wong Y. J. , Lim K. P. , Kamis N. H. , Kechik M. M. Awang , Chen S. K. , Ibrahim N. B. , Shabdin M. K. , Miryala M. , Shaari A. H. 
Published: March 2023

AbstractThis paper reports the addition of NiO nanoparticles into the LCMO nanocomposites through a simplified methodology in the heat treatment process compared to the previous work. Structural analysis showed that LCMO and NiO co-existed in the samples without the formation of other phases and confirmed their composite structures. The grain size distribution of samples was observed to become narrower and left-skewed as the concentration of NiO nanoparticles increased. This indicates that the NiO nanoparticles were distributed near the grain boundaries or on the grain surfaces. The presence of La, Ca, Mn, O, and Ni was confirmed by EDX analysis, and no additional impurities were noticeable, which revealed that the composites here are chemically pure in the composition. Temperature dependence magnetisation measurement (100–300 K) revealed the occurrence of ferromagnetic to paramagnetic transition. The Curie temperature, TC recorded at 260 K for all samples. However, the metal–insulator transition temperature, TMI was found to decrease from 246 to 120 K as the NiO content increased. Magnetoresistance of composites was observed to enhance over a wide temperature range at 10 kOe. The findings of LCMO: NiO composites in this work can set up a new perspective and unlock its potential to be utilised in magnetic field sensor element functioning at a wide range of temperatures.
Schwer erreichbare psychisch erkrankte Menschen und deren psychotherapeutische Versorgung. Möglichkeiten der Psychotherapieausbildung im Abbau von Zugangsbarrieren zur ambulanten Psychotherapie von hard to reach Klient:innen
Authors: Eller Natalie , Berg Mathias 
Published: March 2023

ZusammenfassungDer vorliegende Artikel widmet sich der mangelnden ambulanten psychotherapeutischen Versorgung von hard to reach Klient:innen. Basierend auf einer systematischen Datenbankrecherche werden zentrale strukturelle und professionsspezifische Zugangsbarrieren zur ambulanten Psychotherapie aufgezeigt. Der Fokus soll jedoch nicht auf diesen liegen, sondern vielmehr auf den Möglichkeiten des Abbaus dieser durch eine sich verändernde Psychotherapieausbildung innerhalb Deutschlands und Österreichs. Es werden sechs zentrale Handlungsmöglichkeiten vorgestellt, die bei Berücksichtigung innerhalb der Psychotherapieausbildung zur Verringerung und zum Abbau der Zugangsbarrieren beitragen können und folglich ein Entgegentreten von systematischer Ungleichheit hinsichtlich Versorgungsrealitäten bedeuten.
Estimation of the potential GDP by a new robust filter method
Authors: Gyurkovics Éva , Takács Tibor 
Published: March 2023

AbstractThe first purpose of this paper is to propose a theoretically new robust filter method to estimate non-observable macroeconomic indicators. The second purpose is to apply the proposed method to estimate the Hungarian potential GDP in 2000–2021. The novelty of the proposed filter method is that — unlike papers published so far — it does not require the stability of the dynamic model, only a partial stability condition must be satisfied. Moreover, such time-dependent uncertainties and nonlinearities can arise in the model that satisfy a general quadratic constraint. An important advantage of the proposed robust filter method over the traditional Kalman filter is that no stochastic assumptions is needed that may not be valid for the problem at hand. The proposed filter method has never been applied to estimate the potential GDP. To estimate the Hungarian potential GDP, the proposed method is applied using uni-, bi- and trivariate models. Estimations up to 2021 has not been published yet for the Hungarian economy. The examined period includes both the financial world crisis and the Covid-19 crisis. The results of the different models are consistent. It turned out that the economic policy was very procyclical after 2012, and the GDP gap was still positive during and also after the Covid-19 crisis.
Potential Prion Involvement in Long COVID-19 Neuropathology, Including Behavior
Authors: Stefano George B. , Büttiker Pascal , Weissenberger Simon , Anders Martin , Raboch Jiri , Ptacek Radek , Kream Richard M. 
Published: March 2023

AbstractPrion’ is a term used to describe a protein infectious particle responsible for several neurodegenerative diseases in mammals, e.g., Creutzfeldt-Jakob disease. The novelty is that it is protein based infectious agent not involving a nucleic acid genome as found in viruses and bacteria. Prion disorders exhibit, in part, incubation periods, neuronal loss, and induce abnormal folding of specific normal cellular proteins due to enhancing reactive oxygen species associated with mitochondria energy metabolism. These agents may also induce memory, personality and movement abnormalities as well as depression, confusion and disorientation. Interestingly, some of these behavioral changes also occur in COVID-19 and mechanistically include mitochondrial damage caused by SARS-CoV-2 and subsequenct production of reactive oxygen species. Taken together, we surmise, in part, long COVID may involve the induction of spontaneous prion emergence, especially in individuals susceptible to its origin may thus explain some of its manesfestions post-acute viral infection.
When, and why, do teams benefit from self-selection?
Authors: Fischer Mira , Rilke Rainer Michael , Yurtoglu B. Burcin 
Published: March 2023

AbstractWe investigate the effect of team formation and task characteristics on performance in high-stakes team tasks. In two field experiments, randomly assigned teams performed significantly better than self-selected teams in a task that allowed for an unequal work distribution. The effect was reversed if the task required the two team members to contribute more equally. Investigating mechanisms, we observe that teams become more similar in ability and report to cooperate better when team members can choose each other. We show how different levels of skill complementarity across tasks may explain our results: If team performance largely depends on the abilities of one team member, random team assignment may be preferred because it leads to a more equal distribution of skills across teams. However, if both team members’ abilities play a significant role in team production, the advantage of random assignment is reduced, and the value of team cooperation increases.
Calcium-doped TiO2 microspheres and near-infrared carbazole-based sensitizer for efficient co-sensitized dye-sensitized solar cell
Authors: Devadiga Dheeraj , Selvakumar M. , Devadiga Deepak , Paramasivam Selvaraj , Ahipa T. N. , Shetty Prakasha , Kumar S. Senthil 
Published: March 2023

AbstractHere, we synthesized metal-free organic dye (CCPICPB) with two carbazole donor groups and two anchoring groups that exhibit a panchromatic absorption in the near-infrared range of up to 750 nm. To study the photophysical properties of synthesized CCPICPB dye, the UV–Vis and cyclic voltammetric experiments were studied and the obtained results were validated with theoretical simulation studies. After that, the solvothermal approach is used to synthesize pristine anatase and calcium (Ca)-doped TiO2 microspheres with a smooth morphology. These microstructures are examined in depth using XRD, electron microscopy and electrochemical analysis methods. On TiO2 and Ca-doped TiO2 photoanode materials, we first evaluated the performance of CCPICPB dye. Upon our optimized experimental condition, the 3% Ca-TiO2 photoanode-based device exhibits an efficiency of 4.04%, which is greater than that of the pristine TiO2 photoanode-based device (2.93%). Because of the quicker electron transport in the Ca-TiO2 film, the short-circuit current density and efficiency of DSSCs were improved. Moreover, when the CCPICPB dye was used as a co-sensitizer with the common Ru(II) dye (Z907), interestingly it showed the highest efficiency (6.11%) when compared with Z907 alone (5.12%). This improved efficiency of the co-sensitized device resulted from greater VOC conjugated with improved JSC. The JSC was improved because CCPICB dye could compensate for the photocurrent loss caused by redox electrolyte while the VOC was improved because electron recombination was inhibited under the co-sensitization conditions.
Graphical abstract
Culturally and Linguistically Diverse Gamblers of East Asian Descent in Australia: A Comprehensive Review of Current Evidence
Authors: Rowlatt Victoria , Wraith Darren , Doan Thuy-Vi Minh , Malatzky Christina 
Published: March 2023

AbstractAs a country with one of the highest per capita gambling losses per year in the world, and an evolving multicultural profile, Australia has become an important setting in which to examine the harms and benefits related to gambling. The Australian population includes people from East Asian cultural backgrounds who are a key demographic of interest for gambling operators planning to grow revenue. However, Australian gambling research has concentrated primarily on those belonging to the dominant cultural group. Most of the previous and limited number of studies to examine gambling among culturally and linguistically diverse (CALD) residents have focused on people of Chinese descent, and much of the literature is now becoming relatively old. This review examines the current evidence around cultural variations in gambling prevalence, motivations, beliefs, behaviours, and help service utilisation, focusing on gamblers with an East Asian cultural background. Numerous domains in which gambling motivations and behaviours vary across cultural groups are identified, and methodological considerations related to ethnographic gambling research are discussed. This review found that while barriers and predictors to help-seeking for CALD gamblers have been studied extensively, contemporary evidence of help service utilisation and effectiveness in Australia is lacking. Further research providing an accurate assessment of the impacts of gambling for CALD gamblers is needed to ensure that harm minimisation resources are effective for those most vulnerable to harm.
Learning-based importance sampling via stochastic optimal control for stochastic reaction networks
Authors: Ben Hammouda Chiheb , Ben Rached Nadhir , Tempone Raúl , Wiechert Sophia 
Published: March 2023

AbstractWe explore efficient estimation of statistical quantities, particularly rare event probabilities, for stochastic reaction networks. Consequently, we propose an importance sampling (IS) approach to improve the Monte Carlo (MC) estimator efficiency based on an approximate tau-leap scheme. The crucial step in the IS framework is choosing an appropriate change of probability measure to achieve substantial variance reduction. This task is typically challenging and often requires insights into the underlying problem. Therefore, we propose an automated approach to obtain a highly efficient path-dependent measure change based on an original connection in the stochastic reaction network context between finding optimal IS parameters within a class of probability measures and a stochastic optimal control formulation. Optimal IS parameters are obtained by solving a variance minimization problem. First, we derive an associated dynamic programming equation. Analytically solving this backward equation is challenging, hence we propose an approximate dynamic programming formulation to find near-optimal control parameters. To mitigate the curse of dimensionality, we propose a learning-based method to approximate the value function using a neural network, where the parameters are determined via a stochastic optimization algorithm. Our analysis and numerical experiments verify that the proposed learning-based IS approach substantially reduces MC estimator variance, resulting in a lower computational complexity in the rare event regime, compared with standard tau-leap MC estimators.
Flower color modification through co-overexpression of the VtF3′5′H and RhNHX genes in Rosa hybrida
Authors: Xu Junping , Shin Ju Young , Park Pil Man , An Hye Ryun , Kim Yae-Jin , Kim Se Jin , Lee Su Young 
Published: March 2023

AbstractRoses (Rosa hybrida) are a highly merchandised flower but lack blue varieties. Overexpression of the flavonoid 3′,5′-hydroxylase (F3′5′H) gene can increase the accumulation of blue pigment (delphinidin anthocyanin). However, sometimes the effect of F3′5′H gene alone is inadequate for producing blue flowers. Furthermore, the internal environment of the cell, such as an increase in pH, can also help the conversion of anthocyanins to blue pigments. Nonetheless, genetic engineering methods can simultaneously introduce multiple genes at the same time to regulate the development of blue pigments to achieve the ultimate breeding goal of producing blue color in roses. In the present study, to simultaneously adjust the accumulation of delphinidin and vacuolar pH, we introduced the Viola tricolor flavonoid 3′,5′-hydroxylase (VtF3′5′H) and Rosa hybrida Na+/H+ exchanger (RhNHX) genes into the white rose line “KR056002” using Agrobacterium-mediated transformation. The quantitative real time polymerase chain reaction (qRT-PCR) results showed that the heterologous genes in the transgenic lines were highly expressed in petals and leaves, and simultaneously promoted the expression of related anthocyanin synthesis structural genes. Obvious color changes were observed in both petals and young leaves, especially when petals changed from white to red-purple. The formation of delphinidin was not detected in the petals of control plants, whereas the petals of transgenic lines had higher delphinidin content (135–214 μg/l) and increased pH value (0.45–0.53) compared with those of control plants.
The role of alternative energy and globalization in decarbonization prospects of the oil-producing African economies
Authors: Onifade Stephen Taiwo , Erdoğan Savaş , Alola Andrew Adewale 
Published: March 2023

Abstract
This study assesses the environmental impacts of the energy mix of mainly oil-producing African nations. The economic aspects of decarbonization prospects were also viewed from the perspectives of fossil energy dependence among the countries. More insights on the impacts of energy mix on decarbonization prospects were also provided on a country-specific analysis basis via the application of second-generation econometric techniques in assessing carbon emission levels across the countries between 1990 and 2015. From the results, only renewable resources proved to be a significant decarbonization tool among the understudied oil-rich economies. Moreover, the consequences of the trio of fossil fuel consumption, income growth, and globalization are diametrically opposed to achieving decarbonization as the rise in their usage significantly acts as pollutant-inducing tools. The validity of the environmental Kuznets curve (EKC) conjecture was also upheld for the combined analysis of the panel countries. The study thus opined that the reduction in conventional energy dependence will enhance environmental quality. Consequently, given the advantages of the geographical locations of these countries in Africa, concerted strategies for more investment in clean renewable energy sources like solar and wind were suggested to policymakers among other recommendations.
The Ethics of Overlapping Relationships in Rural and Remote Healthcare. A Narrative Review
Authors: Szumer Rafael Thomas Osik , Arnold Mark 
Published: March 2023

AbstractIt is presently unclear whether a distinct “rural ethics” of navigating professional boundaries exists, and if so, what theoretical approaches may assist practitioners to manage overlapping relationships. To be effective clinicians while concurrently partaking in community life, practitioners must develop and maintain safe, ethical, and sustainable therapeutic relationships in rural and remote healthcare. A narrative review was conducted identifying a significant body of qualitative and theoretical literature which explores the pervasiveness of dual relationships for practitioners working in rural and remote healthcare. Rather than viewing dual relationships as ethically unacceptable, much contemporary work focusses on the lived experiences of healthcare workers and explores what approaches may be available that both protect the therapeutic relationship while recognizing the unique nature of rural and remote healthcare practice. We conclude that practitioners must have a means of operating within a contextually informed ethics of professional boundaries. Drawing on pre-existing work, one schema is proposed that could form the basis for further engagement through interactive teaching sessions, professional development, mentoring, or guidelines.
A Review: Applications of the Spectral Finite Element Method
Authors: Hafeez Muhammad Bilal , Krawczuk Marek 
Published: March 2023

AbstractThe Spectral Finite Element Technique (SFEM) has Several Applications in the Sciences, Engineering, and Mathematics, which will be Covered in this Review Article. The Spectral Finite Element Method (SFEM) is a Variant of the Traditional Finite Element Method FEM that Makes use of Higher Order Basis Functions (FEM). One of the most Fundamental Numerical Techniques Employed in the Numerical Simulation is the SFEM, which Outperforms Other Techniques in Terms of Faster Convergence, Reduced Diffusion and Dispersion Errors, Simplicity of the Application as well as Shorter time of Computation. The Spectral Finite Element Technique Combines the Characteristics of Approximating Polynomials of Spectral Methods. The Approach to Discretizing the Examined Region Unique to the FEM is a mix of both Approaches. Combining These Techniques Enables Quicker (Spectral) Convergence of Solutions, Higher Approximation Polynomial Order, the Removal of Geometric Constraints on the Examined Areas, and much Lower Discretization Density Requirements. Spectral Element Methods used in Different Applications are Presented Along with a Statistical Overview of Studies During 2010–2022.