bluuebunny/crossref_metadata_2025_split huggingface dataset:
Durable remission for four pediatric patients with high‐risk relapsed classical Hodgkin lymphoma treated with brentuximab vedotin plus gemcitabine but without autologous stem cell transplantation: A report from the Children's Oncology Group
Authors: Buhtoiarov Ilia N. , Mba Nkechi I. , Santos Crystal D. L. , McCarten Kathleen M. , Metzger Monika L. , Pei Qinglin , Bush Rizvan , Baker Kayla , Kelly Kara M. , Cole Peter D. 
Published: March 2022

AbstractPatients with therapy‐refractory or high‐risk relapsed classical Hodgkin lymphoma are typically treated with the high‐dose chemotherapy and autologous stem cell transplantation (HDC/ASCT) to consolidate the response to salvage therapy. The combination of brentuximab vedotin with gemcitabine has recently been shown to be an effective and safe salvage regimen. While the majority of patients with complete responses to this regimen ultimately underwent HDC/ASCT consolidation, four subjects, reported herein, achieved durable complete remissions lasting more than 4 years after the study treatment but without ASCT consolidation. Further investigation of treatment strategies incorporating targeted agents may allow omission of HDC/ASCT for select patients.
A spatial distribution effect of almond shell bio filler on physical, mechanical, thermal deflection and water absorption properties of vinyl ester polymer composite
Authors: Palaniyappan Sabarinathan , Veiravan Annamalai , Kaliyamoorthy Rajkumar , Kumar Vishal , Veeman Dhinakaran 
Published: March 2022

AbstractThe present work deals with the effective utilization of almond shell bio‐waste fillers in the production of vinyl ester polymer composites. The almond shell particle surface was chemically modified by alkaline treatment. The almond shell particles with varying weight percentages of 5%–30% were used to prepare the vinyl ester polymer composite. The experimental results show that a 25% addition of alkaline‐treated almond shell particles significantly improved the mechanical properties of the composite when compared to pure vinyl ester and untreated almond‐filled composite samples. The highest tensile, flexural, impact strength, and Shore D hardness of the 25% alkaline‐treated almond shell composite were 54, 142 MPa, 31, and 79 kJ/m2, respectively. This was due to the alkaline treatment of almond shell particles, which improved the interfacial adhesion between the vinyl ester matrix and almond particles. The heat deflection temperature of the 25% alkaline treated almond shell particle‐filled vinyl ester matrix composite was 72°C. The thermal insulating characteristics of alkali‐treated almond shells were improved due to the reduction of quickly thermal degradable materials such as hemicelluloses and lignin, as indicated by Fourier transform infrared spectroscopic data, and more exposure of minerals to the surface, as confirmed by energy dispersive X‐ray analysis. The addition of alkaline‐treated almond shell particles improves the characteristics of the vinyl ester matrix and allows the development of biocomposites.
Nanosecond‐pulsed microbubble plasma reactor for plasma‐activated water generation and bacterial inactivation
Authors: Man Chenxi , Zhang Cheng , Fang Haiqin , Zhou Renwu , Huang Bangdou , Xu Yuanzhong , Zhang Xiaoxing , Shao Tao 
Published: March 2022

AbstractIn this study, a microbubble‐enabled plasma reactor driven by a nanosecond‐pulsed generator was developed to provide an effective means for transferring highly reactive plasma species into liquids for plasma‐activated water (PAW) production. The physicochemical characteristics of PAW at different temperatures were evaluated, and the corresponding antimicrobial effects of PAW against Escherichia coli cells were investigated. Results show that the microbubble‐enabled PAW at a lower temperature (10°C) had the highest antimicrobial activity, resulting in a 2.43 ± 1.02‐log10 reduction of E. coli in PAW. The excellent energy efficiency of the total reactive oxygen and nitrogen species production in PAW is 10.37 g kW−1 h−1. Overall, this study provides much‐needed insights into the microbubble‐enabled plasma chemistries for optimizing the biochemical activity of PAW.
The effects of apixaban on clot characteristics in atrial fibrillation: A novel pharmacodynamic biomarker
Authors: Lawrence Matthew J. , Evans Vanessa , Whitley Janet , Pillai Suresh , Williams Phylip R. , Coulson James , Krishnan Manju , Slade Peter , Power Kieron , Morris Roger H.K. , Evans Phillip A. 
Published: March 2022

AbstractAtrial fibrillation (AF) is a major risk factor for stroke. We aim to characterize AF patients and the effects of apixaban therapy in terms of clot microstructure using gel point analysis, a novel biomarker. Seventy‐eight patients were included in the study, 50 Stroke with AF (AF‐S), and 28 AF without stroke (AF). Pre‐ and post‐anticoagulation samples were collected: gel point (GP) analysis was performed to obtain (i) TGP (the time taken to reach the GP or the clot formation time) and (ii) df, the fractal dimension of the clot, a quantification of clot fibrin microstructure at the GP. At baseline, the AF‐S group had a df = 1.70 (±0.05) and TGP = 306 (±73 s). The AF group had a df = 1.70 ± 0.05 and TGP = 346 ± 78 s, showing a significantly shortened TGP in the stroke group (p = .008). For both groups, apixaban significantly prolonged TGP, p = .005, but resulted in no change in df. Apixaban prolonged clotting time while having no significant impact on the blood’s ability to form stable clots (no change in df). This indicates that apixaban provides protection from the formation of thrombi by reducing clotting kinetics.
Suitable areas for invasive insect pests in Brazil and the potential impacts for eucalyptus forestry
Authors: Mota Juliana dos Santos , Barbosa Leonardo Rodrigues , Marchioro Cesar Augusto 
Published: March 2022

AbstractBACKGROUNDBrazil is among the world's largest producers of eucalyptus and the damage caused by native and invasive insect pests is one of the main factors affecting eucalyptus yield. The recent history of biological invasions of eucalyptus pests in Brazil prompts demand for phytosanitary measures to prevent new invasions. This study used ecological niche models to estimate suitable areas for nine eucalyptus pests. This information was used to assess the potential ports of entry, generate invasion risk maps considering the likelihood of introducing invasive species, and estimate the eucalyptus producing municipalities and areas within the species' suitable range.RESULTSA large distribution range was predicted forEucalyptolyma maideni(Hempitera: Aphalaridae),Orgya postica(Lepidoptera: Erebidae),Sinoxylon anale(Coleoptera: Bostrichidae), andTrachymela sloanei(Coleoptera: Chrysomelidae) in Brazil, while a comparatively smaller distribution was predicted forOphelimus maskelli(Hymenoptera: Eulophidae),Mnesampela privata(Lepidoptera: Geometridae),Paropsis atomaria(Coleoptera: Chrysomelidae),Paropsisterna beata, andP. cloelia(Coleoptera: Chrysomelidae). High‐risk areas of invasion near airports and seaports were predicted mainly in southern, southeastern, and northeastern Brazil. A large proportion of the municipalities (24.4% to 93.7%) and areas with eucalyptus plantations (31.9% to 98.3%) are within the climatically suitable areas estimated for the pests, especially in southern and southeastern regions, which comprises 61.5% of the Brazilian eucalyptus production.CONCLUSIONThe results indicate that eucalyptus forestry may be significantly impacted by biological invasion. The findings provided by our study can assist decision‐makers in developing phytosanitary measures to prevent new invasions of forest pests in Brazil. © 2022 Society of Chemical Industry.
Prediction schemes for disturbance attenuation of discrete‐time linear systems with delayed input and delay‐free input
Authors: Wang Yu , Wu Ai‐Guo 
Published: March 2022

AbstractIn this article, a predictor is developed for discrete‐time linear systems with delayed input and delay‐free input to attenuate external disturbances. This predictor is designed to estimate a quantity related to the future state and input. The ultimate bounds of the state of the closed‐loop system are derived when the predictor‐based state feedback control laws are utilized to this class of delayed systems. Based on the expressions of the ultimate bounds, the disturbance attenuation performance is analyzed for the proposed prediction scheme. Moreover, the robustness to model uncertainties is analyzed when the systems are controlled by the traditional predictor‐based and the proposed predictor‐based control laws. Finally, three numerical examples are employed to show the effectiveness and the robustness of the proposed predictor.
Omnibus testing approach for gene‐based gene‐gene interaction
Authors: Hébert Florian , Causeur David , Emily Mathieu 
Published: March 2022

AbstractGenetic interaction is considered as one of the main heritable component of complex traits. With the emergence of genome‐wide association studies (GWAS), a collection of statistical methods dedicated to the identification of interaction at the SNP level have been proposed. More recently, gene‐based gene‐gene interaction testing has emerged as an attractive alternative as they confer advantage in both statistical power and biological interpretation. Most of the gene‐based interaction methods rely on a multidimensional modeling of the interaction, thus facing a lack of robustness against the huge space of interaction patterns. In this paper, we study a global testing approaches to address the issue of gene‐based gene‐gene interaction. Based on a logistic regression modeling framework, all SNP‐SNP interaction tests are combined to produce a gene‐level test for interaction. We propose an omnibus test that takes advantage of (1) the heterogeneity between existing global tests and (2) the complementarity between allele‐based and genotype‐based coding of SNPs. Through an extensive simulation study, it is demonstrated that the proposed omnibus test has the ability to detect with high power the most common interaction genetic models with one causal pair as well as more complex genetic models where more than one causal pair is involved. On the other hand, the flexibility of the proposed approach is shown to be robust and improves power compared to single global tests in replication studies. Furthermore, the application of our procedure to real datasets confirms the adaptability of our approach to replicate various gene‐gene interactions.
The psychological response and perception of stress during the COVID‐19 pandemic in Slovenia: Three‐wave repeated cross‐sectional study
Authors: Kozina Ana , Peras Igor , Veldin Manja , Pivec Tina 
Published: March 2022

AbstractIn addition to COVID‐19 being a health threat, its longevity and restrictions act as significant stressors and risk for mental health. In the current study, we take a look at how psychological response, both its positive aspects, for example, mental well‐being and life satisfaction, and its negative aspects, for example, anxiety and COVID‐19 anxiety, have changed as the pandemic has continued (first three waves in Slovenia). Additionally, we are interested in whether the psychological response is associated with the perception of stress level in waves 2 and 3 as less, equally or more stressful when compared to the stress level in wave 1 and what shapes these perceptions. An online questionnaire battery (COVID‐19 stress level comparison, Warwick‐Edinburgh Mental Well‐being Scale; LAOM Anxiety Scale; Global Life Satisfaction scale; COVID‐19 anxiety), with ANOVA and qualitative analysis of the open‐ended question on reasons for perceiving wave 2 and wave 3 as more stressful when compared to wave 1, was used on a Slovene convenience adult sample (wave 1: N = 364, 83.5% female; wave 2: N = 987, 85.5% female; wave 3: N = 467, 78.5% female). The findings show (a) a significant increase in COVID‐19 anxiety from wave 1 to wave 3, with a peak in wave 2, and a significant decrease in mental well‐being from wave 1 to wave 3; (b) the level of anxiety, mental well‐being, and life satisfaction differs significantly between individuals who perceive wave 2 and 3 as more stressful compared to individuals who perceive wave 2 and wave 3 as equally or less stressful when compared to wave 1; (c) reasons for perceiving the succeeding waves of the pandemic as more stressful compared to wave 1 are diverse, with some being reported in both succeeding waves (e.g., negative emotional response to the pandemic, negative perceptions of measures). The findings highlight the important role of stress analysis in identifying the support mechanisms for dealing with the challenges of the COVID‐19 pandemic.
Numerical analysis of square concrete‐filled double‐skin tubular columns with outer stainless‐steel tube
Authors: Le Tuan Trung , Patel Vipulkumar Ishvarbhai , Liang Qing Quan , Huynh Phat , Ha Ngoc San 
Published: March 2022

AbstractStainless steel has increasingly been utilized in concrete‐filled composite columns because of its high corrosion resistance and aesthetic appearance. However, there is little published information on the structural behavior of concrete‐filled double‐skin steel tubular (CFDST) columns made of square outer stainless‐steel skin and circular inner carbon steel tubes. The present study focuses on the nonlinear analysis of axially loaded CFDST short columns with outer square stainless steel tube and inner circular carbon steel tube. The explicit analysis methodology is adopted to develop the finite element model of CFDST columns. The verified model is employed to undertake a parametric study on the geometric and material effects on the performance of CFDST columns. The findings indicate that the outer tube diameter‐to‐thickness should be maintained <40 to ensure the required plastic resistance of CFDST columns with hollow ratio in range from 0.34 to 0.42. The design equation for calculating the ultimate axial strength of CFDST columns with outer stainless steel is proposed.
Epistemic orientation toward teaching science for knowledge generation: Conceptualization and validation of the construct
Authors: Suh Jee Kyung , Hwang Jihyun , Park Soonhye , Hand Brian 
Published: March 2022

AbstractResearch in science education has emphasized the importance of knowledge generation approaches to learning. Creating generative learning environments requires teachers to address the epistemic underpinning of science practices and shift their orientations toward knowledge generation approaches. This study aimed to propose epistemic orientation as a key component of teacher development for implementing knowledge generation approaches and develop an empirically grounded model of the construct through a mixed‐method approach. Epistemic orientation toward teaching science for knowledge generation (EOTS‐KG) was defined as a particular direction of thinking concerning how to deal with knowledge and knowledge generation processes when a teacher aims to create generative learning environments for teaching science. Building on the theoretical model of EOTS‐KG established through a critical literature review, we conducted a multiple case study of exemplary elementary teachers and designed an instrument called the Epistemic Orientation Survey. The model from the case study described four major subdimensions indicated by 11 essential elements that should be considered when preparing teachers for implementing a knowledge approach, suggesting that teachers' beliefs about learning should be a priority in teacher development. Using the instrument, we tested the dimensionality of the construct, leading to the suggestions that both unidimensional and multidimensional models are valuable for use in future research. We believe the model developed in this study would serve as a powerful framework to allow researchers to examine changes in teachers' epistemic orientation in various contexts.
The first 5 years of teaching science: The beliefs, knowledge, practices, and opportunities to learn of secondary science teachers
Authors: Luft Julie A. , Navy Shannon L. , Wong Sissy S. , Hill Kathleen M. 
Published: March 2022

AbstractThe early years of teaching are important for science teachers, but little is known about how science teachers develop professionally in their early years. This mixed methods study took a longitudinal view of the early years of teaching. Following 95 secondary science teachers over a 5‐year period, this study examined the beliefs, pedagogical content knowledge (PCK), and practices of the teachers during and after their induction programming. It drew upon the conceptual framework of opportunities to learn to contemplate the experiences of the teachers in relationship to their beliefs, PCK, and practices. Interviews and observations comprised the data in the study, which were analyzed quantitatively and qualitatively and then integrated to understand the teachers' development. The quantitative analysis revealed that the early career teachers experienced no significant change in their beliefs over time but did experience significant change in their PCK and in some of their instructional practices. The qualitative analysis highlighted the difficulty in changing the instruction of the teachers, administrative decisions that constrained or contributed to the learning of the new teachers, and the different professional learning opportunities new teachers drew upon over time. These results suggest that early professional development experiences provided some support for the newly hired teachers, but not enough to challenge their beliefs or establish the instructional repertoires envisioned in the science education reforms. To better support the development of early career science teachers, they need strategic learning opportunities over time that involve administrators, colleagues, and science teacher educators.
Centering Language and Communicative Purpose in Writing Instruction for Bi/Multilingual Learners
Authors: Gort Mileidis , Hamm‐Rodríguez Molly 
Published: March 2022

AbstractThis article illustrates how two fourth‐grade bilingual teachers transformed their writing instruction for bi/multilingual learners by integrating a functional approach to language and literacy teaching and learning. The authors use a systemic functional linguistics genre pedagogy to explore and elucidate the teachers’ innovative instructional practices, revealing how the teachers supported bi/multilingual students in (1) preparing to write about a topic, (2) engaging with texts to understand the purpose, organizational structure, and linguistic features of a genre, and (3) making language choices to develop a topic. Through clear and explicit instruction that centers language and meaning, these pedagogical innovations support bi/multilingual students’ systematic engagement with and production of multiple text types for authentic and varied audiences across a range of communicative purposes and contexts.
Data availability and sector‐specific frameworks restrict drought impact quantification in the Intermountain West
Authors: Jennings Keith S. , Wlostowski Adam N. , Bash Rachel E. , Burkhardt Jesse , Wobus Cameron W. , Aggett Graeme 
Published: March 2022

AbstractAs is the case for many semi‐arid regions globally, drought in the Intermountain West of the United States is a recurrent, costly phenomenon that leaves few aspects of human and natural systems untouched. Here, we focus on drought impact data and evaluation challenges across four non‐agricultural sectors: water utilities, forest resources, public health, and recreation and tourism. There are marked commonalities in the way drought indicators—that is, hydrometeorological conditions—are tracked, but considerable differences in how impacts are measured, evaluated, and disseminated. For drought indicator data, researchers and practitioners have a veritable smorgasbord of data at their fingertips. Such data are often spatially and temporally continuous, available at a wide variety of scales, and readily accessible through government‐funded online portals. This is in stark contrast to drought impact data, which are typically collected opportunistically, if at all. These data are thus often limited in spatiotemporal scope and difficult to access relative to drought indicators. Concerningly, even within a given sector, the definition of drought impacts, quantitative or otherwise, can vary considerably, making it difficult to evaluate the true cost of drought. Far from being specific to the Intermountain West, these problems are found in most regions experiencing drought. We suggest such challenges are surmountable through the development of a common drought impact framework based around economic damages and purposeful, continuous, government‐funded drought impact data collection. These tractable changes will allow for a better quantification of drought's true impacts under both present conditions and climate change scenarios in the Intermountain West and beyond.This article is categorized under:
Human Water > Value of Water
Science of Water > Water Extremes
Water and Life > Stresses and Pressures on Ecosystems
Insertion of Ruthenium into an inorganic, cyclic biradicaloid
Authors: Oswald Jan , Scharnhölz Moritz T. , Coburger Peter , Beer Henrik , Bresien Jonas , Schulz Axel , Grützmacher Hansjörg 
Published: March 2022

AbstractThe reaction between [Ru2Cl2(μ2‐Cl)2(CO)6] and the biradicaloid [P(μ‐NTer)]2 proceeds under insertion of a Ru(II)Cl(CO)2 fragment into one P−N bond and addition of chloride to the adjacent phosphorus center. Thereby an unprecedented inorganic ruthenacycle is obtained that was investigated by single crystal X‐ray analysis, NMR and IR spectroscopy and DFT calculations. The reactivity of the complex in a halide‐pseudo‐halide exchange reaction and a coordination reaction were investigated.
Technology Acceptance and Adoption in Education
Authors: Granić Andrina 
Published: March 2022

AbstractThe chapter provides a comprehensive and up-to-date insight into main research findings in the area of educational technology acceptance, adoption, and usage. Over the past decades, a variety of theoretical perspectives have been advanced to provide an understanding of the determinants of adoption of various technologies used to support the process of knowledge transfer and acquisition. Although some prominent theoretical approaches in educational contexts include Innovation Diffusion Theory (IDT), Unified Theory of Acceptance and Use of Technology (UTAUT), as well as Motivational Model (MM), research reveals the Technology Acceptance Model (TAM) as the most influential model and leading scientific paradigm in investigating acceptance of educational technology by students, teachers, and other stakeholders. Aiming to increase their predictive validity, in numerous empirical studies, models have been extended with different predictive factors, like the most often validated self-efficacy, subjective norm, perceived enjoyment, perceived playfulness, anxiety, social influence, system quality, and facilitating conditions. Research revealed electronic learning (e-learning) as the most common validated mode of delivery, followed by mobile learning (m-learning), learning management system (LMS), personal learning environment (PLE), and massive open online course (MOOC), along with different supportive facilitating technologies used in education such as social media platforms, teaching assistant robots, simulators, as well as virtual reality (VR) and augmented reality (AR) technologies. To enhance explanatory power, new developments in educational technology acceptance and adoption have suggested the need of integration of TAM and UTAUT with other contributing adoption and post-adoption theories and models, together with several established approaches from other fields.