bluuebunny/crossref_metadata_2025_split huggingface dataset:
A personalized approach empowering successful aging: Patient perspective on fall prevention education
Authors: Collins Courtney E. , Schultz Kurt , Mathew Pawan , Chandra Arnav , Nguyen Bryan , Chen Tiffany , Renshaw Savannah , Rose Karen M. , Santry Heena P. 
Published: June 2021

AbstractBackgroundFalls are the leading cause of fatal injury, and the most common cause of nonfatal trauma, among older adults. However, patient perspectives on preferences for obtaining fall education are not well reported.ObjectiveTo identify components of successful fall prevention education.DesignProspective qualitative study.SettingTertiary care center; institutional.ParticipantsAdults aged 65 years or older with a history of falls who received services from inpatient trauma or outpatient geriatric services.InterventionsOne‐hour face‐to‐face semistructured interview.Main Outcome MeasureSemistructured interviews sought to determine participants' history of fall education and perceived strengths and weaknesses of various formats of fall education.ResultsNearly all participants (9/10) indicated they had not received fall prevention education of any kind. Many participants (6/10) reported that, despite not receiving any formal education about falls, they had either given or received information about falls from other older adults in their communities. Participants indicated that framing fall education as a part of healthy aging would be more desirable and mentioned involving participants' families as part of the education. The majority of participants (7/10) suggested fall education be delivered through in‐person discussion with providers, and most (9/10) indicated this would provide a personalized approach with opportunity for questions. Participants specified fall education should consist of both environmental modifications (5/10) and awareness of one's surroundings (4/10).ConclusionsDespite histories of falls, nearly all participants reported they had not received formal fall education. However, many indicated they received fall information informally through their communities. Participants agreed successful fall prevention education would be delivered in an empowering way by a trusted member of the care team.
New insights into the use of hydroxypropyl cellulose for drug solubility enhancement: An analytical study of sub‐molecular interactions with fenofibrate in solid state and aqueous solutions
Authors: Martin‐Pastor Manuel , Stoyanov Edmont 
Published: June 2021

AbstractHydroxypropyl cellulose (HPC) is a solubility enhancer used for poorly soluble drugs, nano‐suspensions and amorphous solid dispersions (ASD). However, the underlying mechanism remains unclear. ASDs of a poorly soluble drug, fenofibrate (FEN), were analyzed using liquid nuclear magnetic resonance (NMR) and solid state NMR (ss‐NMR). Liquid NMR revealed interactions between the pyranose ring of the HPC molecule and the diphenylketone from FEN. The water accessibility of the CH3 groups in HPC and FEN is very low, they form a hydrophobic zone in aqueous solution that may sustain the drug nucleation. Moreover, ss‐NMR measurements confirmed very low drug crystallinity for HPC‐FEN ASDs. Cross‐polarization and direct polarization 13C spectra, 13C‐CPMAS and 13C‐PARIS, distinguished the most rigid and flexible portions in concordance with the ss‐NMR proton T1 and T1r relaxation results. Although HPC side chains (hydroxypropoxy) are the most flexible portions, their flexibility is moderate and high rigidity is the predominant. The ss‐NMR proton relaxation indicates a rather homogeneous distribution of the components (HPC and FEN) in the solid mixtures. The versatile NMR methodology proposed can be used to study other polymer‐drug systems and it may contribute to understand relevant functional aspects such as the rate of drug‐delivery and their stability.
Submicron Potassium Perchlorate: a Key Component to Reach Detonation in Binary Mixtures with Titanium Hydride
Authors: Comet Marc , Martin Cédric , Schnell Fabien , Schwartz Cédric , Lallemand Bastien , Galland Guillaume , Spitzer Denis 
Published: June 2021

AbstractThe pyrotechnic compositions made up of potassium perchlorate (KClO4) and titanium hydride (TiH2), known as THKP, have a fast deflagration velocity (∼500 m/s), along with low sensitivity and high stability. In this research, a new kind of THKP was formulated from a submicron powder of KClO4 (50–400 nm) prepared by the Spray Flash‐Evaporation (SFE) process. The use of fine KClO4 not only ensures better oxidation of TiH2, but also leads to a transition to detonation in the THKP. This transition is observed in loose powders placed in small diameter tubes (3 mm). The distance of transition is relatively short (17–22 mm) and increases with the KClO4 content of the THKP mixture. The detonation front propagates steadily, at a velocity of ∼1250 m/s in THKP powders with 86 % of porosity. The shockwave velocity varies little with the perchlorate content in the domain of composition studied (55–74 wt.% of KClO4). Conversely, in the classical THKP mixtures prepared from micron‐sized KClO4 and tested in the same conditions, no transition to detonation is observed; the combustion slows down and eventually stops. Finally, owing to their high sensitivity thresholds to impact (SImp.≥44.7 J), friction (SFr.≥192 N), and electrostatic discharge (SESD≥34.7 mJ), THKP mixtures prepared from submicron KClO4 can be classified as low‐sensitivity primary explosives.
Overcoming matrix effects in quantitative liquid chromatography–mass spectrometry analysis of steroid hormones in surface waters
Authors: Mirmont Elodie , Bœuf Amandine , Charmel Mélissa , Lalère Béatrice , Laprévote Olivier , Lardy‐Fontan Sophie 
Published: June 2021

RationaleAccurate and reliable measurements are mandatory in the field of environmental monitoring. Matrix effects are often depicted as the Achilles’ heel of liquid chromatography–mass spectrometry analysis since they may be prejudicial for analytical performances such as detection capability and accuracy, if not documented or compensated. Here a methodology for the evaluation and compensation of matrix effects is described.MethodsNatural and synthetic representative water samples were used for the evaluation of matrix effects with the post‐extraction addition technique. Samples were analysed using ultra‐performance liquid chromatography separation coupled to tandem mass spectrometry and electrospray ionization. Isotopic dilution was investigated as a way to allow compensation of signal alteration and therefore satisfactory quantification. When this approach was not possible, a methodology was conducted for choosing the most appropriate internal standard.ResultsThe matrix effects were dependent on both matrix composition and nature of analyte. They ranged from total signal suppression to signal enhancement of +27% but were independent of compound concentration. The correction of matrix effects by internal standards was satisfactory, particularly for compounds benefiting from isotope dilution leading to acceptable quantification performances.ConclusionsEven if no exhaustive or agreed criteria exist for the final interpretation of matrix effects, this study highlights the interest in isotope dilution for reducing their inherent prejudicial effects in quantification and the need to conduct this type of study for representative matrices. Moreover, a methodological approach is proposed for choosing the most appropriate available internal standard when isotope dilution is not possible.
LiDAR‐based robust localization for field autonomous vehicles in off‐road environments
Authors: Ren Ruike , Fu Hao , Xue Hanzhang , Li Xiaohui , Hu Xiaochang , Wu Meiping 
Published: June 2021

AbstractRobust localization is an essential capability for autonomous land vehicles. While a lot of work focused on structured environments, this article focuses on navigation in off‐road environments. In the off‐road environment, due to the lack of salient features, scan matching algorithms tend to degenerate. Therefore, the first contribution of this paper is to propose a reliable degeneracy indicator which can evaluate the scan matching performance. The evaluated degeneracy indicator is then integrated into the factor graph optimization framework which is used in both the offline mapping system and the online localization system. Moreover, a complete navigation system that can handle the incomplete and partly outdated LiDAR maps is developed. Extensive tests on real‐world data sets show that the proposed system outperforms state‐of‐the‐art approaches, especially in degenerate scenarios.
The Contribution of Text Characteristics to Reading Comprehension: Investigating the Influence of Text Emotionality
Authors: Pickren Sage E. , Stacy Maria , Del Tufo Stephanie N. , Spencer Mercedes , Cutting Laurie E. 
Published: June 2021

ABSTRACTIn the current study, we examined relations between text features (e.g., word concreteness, referential cohesion) and reading comprehension using multilevel logistic models. The sample was 158 native English‐speaking students between 8 years, 8 months and 11 years, 2 months of age with a wide range of reading ability. In line with the simple view of reading, decoding ability and language comprehension were associated with reading comprehension performance. Text characteristics, including indices of word frequency, number of pronouns, word concreteness, and deep cohesion, also predicted unique variance in reading comprehension performance over and above the simple view’s components. Additionally, the emotional charge of text (i.e., lexical ratings of arousal) predicted reading comprehension beyond traditional person‐level and text‐based characteristics. These findings add to a small but growing body of evidence suggesting that it is important to consider emotional charge in addition to person‐level and text‐based characteristics to better understand reading comprehension performance.
Teaching Beginners to Decode Consonant–Vowel Syllables Using Grapheme–Phoneme Subunits Facilitates Reading and Spelling as Compared With Teaching Whole‐Syllable Decoding
Authors: Sargiani Renan de Almeida , Ehri Linnea C. , Maluf Maria Regina 
Published: June 2021

ABSTRACTIn this experiment, we examined whether beginning readers benefit more from grapheme–phoneme decoding (GPD) than from whole‐syllable decoding (WSD) instruction in learning to read and write words. Sixty Brazilian Portuguese‐speaking first graders (M age = 6 years 1 month) who knew letter names but could not read or write words were randomly assigned to one of three conditions. The GPD group was taught to decode 40 consonant–vowel (CV) syllables by sounding out and blending grapheme–phoneme constituents (combinations of 10 consonants and five vowels). The WSD group was taught to decode the same CV syllables as whole graphosyllabic units. The individual grapheme–phoneme (IGP) group was taught the same 15 grapheme–phonemes as single units but no decoding. Groups were taught to a mastery criterion. Results showed that GPD instruction was much more effective than WSD and IGP instruction in enabling beginners to read CV syllables, multisyllabic words, and pseudowords; to learn to read words from memory; to write words; and to segment and blend spoken words phonemically. Also, GPD instruction facilitated phonological memory for spoken pseudowords. Despite receiving much practice in reading whole CV syllables, the WSD group learned few, if any, grapheme–phoneme subunits. Results support theories that reading instruction is most effective when it begins by teaching students to decode with small grapheme–phoneme units rather than with larger syllabic units, even when syllables are salient spoken and written units in the writing system.
Regional evaluation of satellite‐based methods for identifying end of vegetation growing season
Authors: Shen Ruoque , Lu Haibo , Yuan Wenping , Chen Xiuzhi , He Bin 
Published: June 2021

AbstractAutumn phenology plays an important role in regulating ecosystem carbon and water cycling, but it has received less attention than spring phenology. Satellite‐based methods have been widely applied in monitoring autumn phenology at large spatial scales. However, few studies have evaluated and compared the performance of different satellite‐based methods in autumn phenology identification. Here, we compared the spatiotemporal variations of end of vegetation growing season dates (EOS) as determined from eight prevailing satellite‐based methods against long‐term field observations at 31 sites in China. We found that field‐based observations in forest and grassland sites, respectively, had rates of EOS delay of 2.11 and 3.85 days per 1°C increase in mean annual temperature (MAT) during 2001–2014. However, nearly all the eight satellite‐based methods underestimated these delay rates compared with the ground observations over all sites. We also found that the eight methods weakly agreed with the field‐observed interannual variations of EOS. At the regional scale, the identified average EOS differed up to 38 and 40 days among the investigated satellite‐based methods in forest and grassland ecosystems respectively. The delayed rate of identified EOS with the increase of MAT ranged from 0.77 to 3.51 days °C−1 for forests and from 0.41 to 2.95 days °C−1 for grasslands. The identified EOS by most of the eight methods had delayed temporal trends in forests during 2001–2014 while we found advanced trends in grassland ecosystems. The large discrepancy in EOS identification among the prevailing satellite‐based methods highlight the need for more accurate satellite‐based methods in data gap‐filling and phenometrics detection, and more extensive, multi‐species based field observations that can be used to constrain and validate the satellite‐based methods.
Observation of the compatibility of stimulated Raman histology with pathology workflow and genome sequencing
Authors: Sarri Barbara , Appay Romain , Heuke Sandro , Poizat Flora , Franchi Florence , Boissonneau Sébastien , Caillol Fabrice , Dufour Henry , Figarella‐Branger Dominique , Giovaninni Marc , Rigneault Hervé 
Published: June 2021

AbstractWe show that human samples imaged with stimulated Raman histology (SRH) can be successfully used in a typical pathology workflow including hematoxylin and eosin staining (HE), immunohistochemistry, and genome sequencing. We provide a morphological comparison of SRH images with the gold standard HE and HES (HE and saffron) staining over three normal tissues from various organs (liver, kidney, and ileum) and two tumoral brain samples (metastatic adenocarcinoma and glioblastoma). Most importantly, we show that a sample imaged with SRH has a comparable microscopic appearance as a control sample (that was not imaged by SRH) including protein expression evaluated by immunohistochemistry as well as similar genetic alterations evaluated by genome sequencing. This suggests that SRH can provide a direct diagnosis without material preparation nor consumption.
Improved Auto Disturbance Rejection Control Based on Moth Flame Optimization for Permanent Magnet Synchronous Motor
Authors: Wang Longda , Wang Xingcheng , Liu Gang , Li Yan 
Published: June 2021

AbstractIn this paper, an improved auto disturbance rejection controller (ADRC) is applied to permanent magnet synchronous motor (PMSM) speed control system. Specifically, the improved ADRC is proposed to solve the defect that the nonlinear function of traditional ADRC is not differentiable at the piecewise point. In addition, considering that there are numerous parameters to be optimized in ADRC, an improved moth‐flame optimization (MFO) is proposed to obtain ADRC parameters, and adaptive inertia weight coefficient and optimization mechanism based on the fusion of refraction operation and chaotic search are proposed to improve the convergence speed and optimization accuracy for MFO. Simulation and experimental results show that the improvement strategies proposed in this paper can increase the optimization performance for MFO algorithm effectively so that obtained more appropriative ADRC parameters. The improved ADRC can effectively improve the tracking control performance of PMSM speed control system. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
Predicted N‐terminal N‐linked glycosylation sites may underlie membrane protein expression patterns in Saccharomyces cerevisiae
Authors: Karki Rashmi , Rimal Swechha , Rieth Monica D. 
Published: June 2021

AbstractN‐linked glycosylation is one type of posttranslational modification that proteins undergo during expression. The following describes the effects of N‐linked glycosylation on high‐level membrane protein expression in yeast with an emphasis on Saccharomyces cerevisiae. N‐linked glycosylation is highlighted here as an important consideration when preparing membrane protein gene constructs for expression in S. cerevisiae, which continues to be used as a workhorse in both research and industrial applications. Non‐native N‐linked glycosylation commonly occurs during the heterologous expression of mammalian proteins in many yeast species which can have important immunological consequences when used in the production of biotherapeutic proteins or peptides. Further, non‐native N‐linked glycosylation can lead to improper protein folding and premature degradation, which can impede high‐level expression yields and hinder downstream analysis. Multiple strategies are presented in this article, which suggest different methods that can be implemented to circumvent the unwanted consequences of N‐linked glycosylation during the expression process. These considerations may have long‐term benefits for high‐level protein production in S. cerevisiae across a broad spectrum of expression targets with special emphasis placed on G‐protein coupled receptors, one of the largest families of membrane proteins.
Development of a method for heat shock stress assessment in yeast based on transcription of specific genes
Authors: Meza Eugenio , Muñoz‐Arellano Ana Joyce , Johansson Magnus , Chen Xin , Petranovic Dina 
Published: June 2021

AbstractAll living cells, including yeast cells, are challenged by different types of stresses in their environments and must cope with challenges such as heat, chemical stress, or oxidative damage. By reversibly adjusting the physiology while maintaining structural and genetic integrity, cells can achieve a competitive advantage and adapt environmental fluctuations. The yeast Saccharomyces cerevisiae has been extensively used as a model for study of stress responses due to the strong conservation of many essential cellular processes between yeast and human cells. We focused here on developing a tool to detect and quantify early responses using specific transcriptional responses. We analyzed the published transcriptional data on S. cerevisiae DBY strain responses to 10 different stresses in different time points. The principal component analysis (PCA) and the Pearson analysis were used to assess the stress response genes that are highly expressed in each individual stress condition. Except for these stress response genes, we also identified the reference genes in each stress condition, which would not be induced under stress condition and show stable transcriptional expression over time. We then tested our candidates experimentally in the CEN.PK strain. After data analysis, we identified two stress response genes (UBI4 and RRP) and two reference genes (MEX67 and SSY1) under heat shock (HS) condition. These genes were further verified by real‐time PCR at mild (42°C), severe (46°C), to lethal temperature (50°C), respectively.
Creative Coding as Compost(ing)
Authors: Dufva Tomi Slotte 
Published: June 2021

AbstractThis chapter focuses on creative coding practices within a university-level art education context. Drawing from earlier literature and combining it with current research, the chapter takes a feminist approach to creative coding and examines the importance and possibilities of different code-related art educational practice in the post-digital world(ing)s. The chapter discusses how post-digital takes place and uses compost as a metaphor to look at post-digital art education practices. More specifically, it introduces three examples from courses taught at Aalto University that together form the digital compost: humus, care, and waste. The chapter closes with the discussion on further feminist approaches within post-digital within art education.
Post-digital, Post-internet: Propositions for Art Education in the Context of Digital Cultures
Authors: Klein Kristin 
Published: June 2021

AbstractConcepts such as Post-Digital and Post-Internet act as symptomatic descriptors of digitally permeated cultures. Starting from a broad understanding of digitality in its societal and cultural-historical interdependencies, both terms are first introduced and afterward extended through the discussion of four theses, with a particular emphasis on aesthetic aspects. Elaborating on (1) distributed artworks, (2) hybrid subjects, (3) fluid materiality, and (4) blind spots, each thesis leads to a proposition for art education dealing with digital cultures. The chapter concludes by highlighting art education’s potential in reflecting on digital cultures and in developing new models and methods for practical application.
A Meditation on the Post-digital and Post-internet Condition: Screen Culture, Digitalization, and Networked Art
Authors: jagodzinski jan 
Published: June 2021

AbstractThis chapter attempts to provide a broad understanding of post-digital and post-Internet problematic drawing on the state of screen culture, digitalization, and networked art. It calls on the theories of Paul Virilio and Bernard Stiegler to highlight some of the difficulties and malaise they have articulated related to the speed of technologies and their proletarianization. Throughout this chapter, voices of Deleuze and Guattari are also heard and summoned. It concludes by examining several networked art installations as exemplars of resistance to answer their concerns. The chapter ends on a question mark as to where to turn to next.
Educating the Commons and Commoning Education: Thinking Radical Education with Radical Technology
Authors: Rousseau Grégoire , Sternfeld Nora 
Published: June 2021

AbstractAll over the world, education—which could be understood as a universal right and public good—is facing processes of economization and privatization. Technology—which could be understood as a common means of production, collaboratively developed—is taken away from the public and put into corporate hands. This article is designed as a conversation investigating the question of shared and common knowledge from the perspectives of an educator and an engineer, respectively. The dialogue explores necessary convergences in radical practices of commoning, and possible future strategies for education and Open Technology. It asks how new models can challenge the neoliberal agenda and move away from established policies, and how a collective re-appropriation of the means of production could emerge within a post-digital society.
A New Sujet/Subject for Art Education
Authors: Meyer Torsten 
Published: June 2021

AbstractFor some years now, fundamental ideas of newer theoretical trends in the context of Actor Network Theory have been leaking into the minds of that generation of (post-internet) artists who no longer regard the radical change in the socio-technical conditions of digital media cultures as something special or new. These trends are also leaking into the theories of the subject and thus also into the theory(s) of art education. This coincides with the assumption that the humanistic conception of the human individual as a subject, and the associated understanding of education in modernity, no longer matches neither with the artistic practices based on collaborative networked socio-technical processes that can be observed in the post-internet culture. Therefore, changing mediality leads to changing subjectivity.