bluuebunny/crossref_metadata_2025_split huggingface dataset:
“My Name Is Sally Brown, and I Hate School!”: A retrospective study of school liking among conventional and Montessori school alumni
Authors: Snyder Allyson , LeBoeuf Lee , Lillard Angeline S. 
Published: July 2022

AbstractSchool liking shows clear associations with academic success, yet we know little about how it changes over levels of schooling, what predicts liking school at each level, or how attending alternative schools like Montessori might impact liking. To better understand school liking across time and education settings, we surveyed adults about how much they remember liking elementary, middle, and high school, and identified key school features that predicted higher school liking at each level. Because Montessori schools have many features that other literature suggests predict higher school liking, we purposely sampled Montessori alumni as well, and compared their schools' features for elementary school only (due to sample size). Moreover, we collected open‐ended responses about what participants in both conventional and Montessori liked least about school, revealing what features of their school experiences might have led to less overall school liking. The unique contributions of this study are (1) showing how a wide range of school features predict recalled school liking, (2) examining data for all school levels using a single sample of participants, and (3) comparing recalled school liking and its predictors across conventional and Montessori schools. The sample included 630 adults, of whom 436 were conventional school alumni and 187 were Montessori alumni (7 participants did not report school type). Participants' mean age was 35.8 years (SD = 10.53, range = 19–77), and 53% were female. Participants were recruited online, and they responded to Qualtrics surveys about school liking, school features, and their demographics. School liking overall was tepid, and was highest in elementary and lowest in middle school. For all participants, recalling a sense of community and interest in schoolwork were most strongly associated with school liking. Adults who attended schools which emphasized studying topics of personal interest and rewards for positive behavior also liked school more. Montessori school alumni reported higher school liking and that learning was what they liked most about school; by contrast, conventional school alumni most liked seeing friends. Levels of school liking, as recalled by adults, are low overall, but are higher in elementary school and higher amongst those who recall their schools as having stronger community, catering more to student interest, and rewarding positive behavior. In addition, school liking was higher among people who attended Montessori schools. Further research could extend to a cross‐sectional study of children currently enrolled in different types of schools.
Exploring the associations between psychodynamic constructs and psychopathology: A network approach
Authors: Vierl Larissa , Juen Florian , Benecke Cord , Hörz‐Sagstetter Susanne 
Published: July 2022

AbstractPsychodynamic therapy effectively reduces symptomatology by focusing on underlying (unconscious) processes instead of symptoms. Nevertheless, the exact interrelationship between psychodynamic constructs and psychopathology remains unclear. This study uses network analysis to explore these associations.We computed a cross‐sectional partial correlation network between psychodynamic constructs (i.e., personality functioning, interpersonal relations, and active and passive modes of intrapsychic conflicts according to the Operationalized Psychodynamic Diagnostics [OPD] system) and psychopathology (i.e., depression and somatization) in a naturalistic sample of 341 adults registering for psychodynamic outpatient therapy. We estimated node centrality, node predictability, and bridge symptoms and used community detection analysis. Bootstrap methods were applied to assess network stability.Psychodynamic constructs and psychopathology resulted in separate but connected clusters. Personality functioning emerged as the most influential node in the network and was bridging the clusters. The network was found to be highly stable, allowing reliable interpretations.The results offer important insights on how psychodynamic constructs relate to psychopathology, which can be used to inform treatment approaches. The findings suggest that personality functioning may be an important intervention target. However, future research is needed to include a broader range of diagnoses. In addition, longitudinal studies may clarify the direction of causality.
Phylogeny, character evolution and biogeography of the genus Sclerophylax (Solanaceae)
Authors: Chiarini Franco E. , Deanna Rocío , Bohs Lynn 
Published: July 2022

AbstractThe genus Sclerophylax (Atropina clade, Solanaceae) has 14 species recognized to date, all except two endemic to Argentina. To clarify its phylogenetic relationships, molecular sequence data from the trnL‐trnF and the rpl32F‐trnL intergenic spacer regions, the waxy gene and the ITS region were employed in maximum likelihood and Bayesian inference analyses. Divergence times were estimated for the combined dataset using secondary calibrations. Ancestral distribution areas were reconstructed by Bayesian binary analyses and seven morphological traits (one continuous, six discrete) were traced. Sclerophylax is monophyletic and its sister clade is Lycium + Nolana. Sclerophylax is divided into S. sect. Caducifructus (1 sp.) and the monophyletic sect. Sclerophylax (11 spp.). Sclerophylax sect. Sclerophylax includes five well‐supported clades that are also supported by morphological synapomorphies; circumscription of some species remains uncertain, probably as a result of rapid diversifications, but four lineages are recognized by a combination of morphological traits. The ancestor of Sclerophylax was an annual, procumbent/decumbent plant with rhomboidal leaves and sessile, persistent, 2–3‐seeded fruits. The most variable traits were leaf shape and life form, while flower size was shown to be highly informative in diagnosing clades within Sclerophylax. The area of origin for Sclerophylax was the Prepuna biogeographical province, from which it has spread in recent geological times. A total of 12 species are recognized in Sclerophylax, with an updated synonymy, lectotypifications, and re‐circumscriptions provided.
Increasing engagement of Hispanics/Latinos in clinical trials on Alzheimer's disease and related dementias
Authors: Marquez David X. , Perez Adriana , Johnson Julene K. , Jaldin Michelle , Pinto Juan , Keiser Sahru , Tran Thi , Martinez Paula , Guerrero Javier , Portacolone Elena 
Published: July 2022

AbstractIntroductionDespite evidence that Hispanic/Latino populations are 1.5 times more likely than non‐Latino Whites to develop Alzheimer's disease and related dementias (ADRD), Latinos are underrepresented in clinical trials testing treatments for ADRD. Data are needed on facilitators of ADRD clinical trial participation in Latinos. We leveraged in‐depth qualitative methods to elucidate barriers and facilitators to participating in ADRD clinical trials in a large and diverse sample of Latinos; and to provide timely and actionable strategies to accelerate representation of Latinos in clinical trials on ADRD.MethodsData were collected in California between January 2019 and June 2020 from 25 focus groups (FGs): eight with Latino adults ages 18 to 49 (n = 54), nine with Latino adults ages 50+ (n = 75), and eight with caregivers of Latino older adults with ADRD (n = 52). Twelve community‐based organization administrators were also interviewed. Transcripts of FGs and interviews were entered into Atlas.ti software. Three independent team members analyzed the transcripts with inductive/deductive qualitative content analysis. We triangulated data from stakeholder groups across sites, we used collaborative coding, and used the Consolidated Criteria for Reporting Qualitative Research.ResultsAn overarching theme was a tension between wanting to learn more about ADRD and to participate in ADRD research but having limited awareness and opportunity. Five themes were identified: (1) remaining in limbo, (2) wanting information about ADRD, (3) wanting information on research about ADRD, (4) clearing researchers through trusted local organizations, and (5) practicing altruism through engagement in research opportunities.DiscussionTo increase representation of Latino communities in clinical trials on ADRD, bilingual information and education on ADRD and clinical trials needs to be better disseminated. Also, working with trusted local, regional, and national organizations can increase participation. Importantly, Latino participation can increase when research teams demonstrate altruistic actions and inform participants of public health reasons requiring their involvement.HIGHLIGHTS
Participation in clinical trials on Alzheimer's disease and related dementias (ADRD) is limited among Latinos/Hispanics.
Knowing the high prevalence of ADRD in Latinos increases willingness to participate.
Observing altruism from researchers increases willingness to participate.
Invitations from multiple organizations increases willingness to participate.
Researchers should include public health reasons requiring Latinos’ involvement.
Using Texts as Mirrors: The Power of Readers Seeing Themselves
Authors: Heineke Amy J. , Papola‐Ellis Aimee , Elliott Joseph 
Published: July 2022

AbstractIn schools across the country and world, students enter classrooms with rich diversity in backgrounds, identities, and experiences. They speak hundreds of different languages, come from countries around the world, espouse nuanced cultural and gender identities, and have an array of abilities and interests. But texts in school and classroom collections continue to reflect the so‐called mainstream with primarily White, English‐dominant, cis‐gendered characters without disabilities. Efforts have emerged on social media to encourage resources with relevance to children's lives, but teachers often struggle to make the case for their use in instruction. In this article, we provide a framework for teachers to incorporate texts to support their unique students, drawing from existing literature and our own research on using texts as mirrors in classrooms.
A physical wind‐turbine wake growth model under different stratified atmospheric conditions
Authors: Du Bowen , Ge Mingwei , Liu Yongqian 
Published: July 2022

AbstractThe wind‐turbine wake growth is crucial for wake assessment. At present, it can only be determined empirically, which is the primary source of prediction errors in the analytical wake model, and a physically‐based method is urgently needed. Recently, the plume model is proposed for wake width prediction in the neutral boundary layer based on Taylor's diffusion theory. However, this model is not applicable for high‐roughness neutral and strongly convective conditions, which is mainly related to the fact that the specified far wake point in the plume model is too close to the virtual wake origin. In this condition, the wake width prediction has evident convex function characteristics, which is inconsistent with the actual linear expansion of wake width. To this end, we propose a coupled model of the plume model and the traditional wake model (CPT model) to calculate the wake growth rate iteratively, thereby obtaining the wake width and velocity deficits in the far‐wake region. The average wake width prediction error decreases from 11.75% to 3.1% in these conditions. Since the wind‐turbine‐induced‐turbulence contribution is dominant in the wake recovery in the very stable boundary layer, both models have low but engineering acceptable prediction accuracy. Except for the above conditions, both the plume and CPT models can predict the wake width well, and their average wake width prediction errors are 2.5% and 1.9%, respectively. This implies that the proposed CPT model has higher prediction accuracy and a broader application range.
Applications of robotics in floating offshore wind farm operations and maintenance: Literature review and trends
Authors: Khalid Omer , Hao Guangbo , Desmond Cian , Macdonald Hamish , McAuliffe Fiona Devoy , Dooly Gerard , Hu Weifei 
Published: July 2022

AbstractMarine operations required to transfer technicians and equipment represent a significant proportion of the total cost of offshore wind. The profile of sites being considered for floating offshore wind farms (FOWFs), e.g., further from the shore and in harsher environments, indicates that these costs need to be assessed by taking into account the maintenance requirements and restricted weather windows. There is an immediate need to investigate the potential use of robotic systems in the wind farm's operations and maintenance (O&M) activities, to reduce the need for costly manned visits. The use of robotic systems can be critical, not only to replace repetitive activities and bring down the levelised cost of energy but also to reduce the health and safety risks by supporting human operators in performing the desired inspections. This paper provides a review of the state of the art in the applications of robotics for O&M of FOWFs. Emerging technology trends and associated challenges and opportunities are highlighted, followed by an outline of the agenda for future research in this domain.
Computational models for generating microvascular structures: Investigations beyond medical imaging resolution
Authors: Apeldoorn Cameron , Safaei Soroush , Paton Julian , Maso Talou Gonzalo D. 
Published: July 2022

AbstractAngiogenesis, arteriogenesis, and pruning are revascularization processes essential to our natural vascular development and adaptation, as well as central players in the onset and development of pathologies such as tumoral growth and stroke recovery. Computational modeling allows for repeatable experimentation and exploration of these complex biological processes. In this review, we provide an introduction to the biological understanding of the vascular adaptation processes of sprouting angiogenesis, intussusceptive angiogenesis, anastomosis, pruning, and arteriogenesis, discussing some of the more significant contributions made to the computational modeling of these processes. Each computational model represents a theoretical framework for how biology functions, and with rises in computing power and study of the problem these frameworks become more accurate and complete. We highlight physiological, pathological, and technological applications that can be benefit from the advances performed by these models, and we also identify which elements of the biology are underexplored in the current state‐of‐the‐art computational models.This article is categorized under:
Cancer > Computational Models
Cardiovascular Diseases > Computational Models
NEW REALIZATIONS OF DEFORMED DOUBLE CURRENT ALGEBRAS AND DELIGNE CATEGORIES
Authors: ETINGOF P. , KALINOV D. , RAINS E. 
Published: July 2022

AbstractIn this paper, we propose an alternative construction of a certain class of Deformed Double Current Algebras. We construct them as spherical subalgebras of symplectic reection algebras in the Deligne category. They can also be thought of as ultraproducts of the corresponding spherical subalgebras in finite rank. We also provide new presentations of DDCA of types A and B by generators and relations.
On Morphisms Between Connected Commutative Algebraic Groups over a Field of Characteristic 0
Authors: Dill Gabriel A. 
Published: July 2022

AbstractLet K be a field of characteristic 0 and let G and H be connected commutative algebraic groups over K. Let Mor0(G,H) denote the set of morphisms of algebraic varieties G → H that map the neutral element to the neutral element. We construct a natural retraction from Mor0(G,H) to Hom(G,H) (for arbitrary G and H) which commutes with the composition and addition of morphisms. In particular, if G and H are isomorphic as algebraic varieties, then they are isomorphic as algebraic groups. If G has no non-trivial unipotent group as a direct factor, we give an explicit description of the sets of all morphisms and isomorphisms of algebraic varieties between G and H. We also characterize all connected commutative algebraic groups over K whose only variety automorphisms are compositions of automorphisms of algebraic groups with translations.
Fit für die Schule? Der Sprachstand 5-jähriger Kinder in Hessen und seine soziodemografischen Korrelate
Authors: Zaretsky Eugen , Lange Benjamin P. , Hey Christiane 
Published: July 2022

Zusammenfassung
Hintergrund
Der Sprachstand 5‑jähriger Kinder wird in Hessen nicht systematisch erfasst. Daher liegen keine Angaben zum Anteil sprachauffälliger Kinder in dieser wichtigen Altersgruppe kurz vor der Einschulung vor.

Fragestellung
Die Studie hatte zum Ziel, den Sprachstand 5‑jähriger Kinder zu beschreiben und soziodemografische Faktoren zu untersuchen, die mit sprachpädagogischem Förder- bzw. klinischem Abklärungsbedarf zusammenhängen.

Matherial und Methoden
Es wurden 263 monolingual deutschsprachige (MON) und 645 multilinguale Kitakinder (MULT) im Alter von 5;0–5;11 Jahren bezüglich ihrer Deutschkenntnisse mit dem Kurztest „Kindersprachscreening“ (KiSS.2) untersucht. KiSS.2-Normwerte für Fünfjährige wurden durch das Studienteam entwickelt. Soziodemografische Merkmale der Kinder und ihrer Familien wurden mit KiSS.2-basierten erweiterten Fragebogen für Eltern und KitaerzieherInnen erfasst.

Ergebnisse
Ein Fünftel der MON und über zwei Drittel der MULT zeigten sich in KiSS.2 als sprachlich auffällig, d. h., ihre Ergebnisse lagen unterhalb der Normwerte. Die große Mehrheit der MULT erwies sich als sprachpädagogisch förderbedürftig. Die Anteile klinisch Abklärungsbedürftiger waren bei MON und MULT vergleichbar. Sprachpädagogischer Förderbedarf war mit eingeschränktem Deutsch-Input außerhalb der Kita assoziiert. Unter den Sprachkontaktvariablen waren es ausbleibende sprachliche Äußerungen beim Spielen, an denen sich klinischer Abklärungsbedarf am besten erkennen ließ. Die meisten Sprachauffälligen, v. a. MULT, wurden weder sprachpädagogisch noch -therapeutisch versorgt.

Diskussion
Da MULT mehr als die Hälfte aller hessischen Vorschulkinder ausmachen, kann davon ausgegangen werden, dass kurz vor der Einschulung die meisten hessischen Kinder sprachauffällig bleiben (in der aktuellen Studie 57 %). Es liegen Hinweise auf eine sprachpädagogische und -therapeutische Unterversorgung von 5‑jährigen Kindern, in erster Linie MULT, vor.
Spatial localization of β-unsaturated aldehyde markers in murine diabetic kidney tissue by mass spectrometry imaging
Authors: Harkin Carla , Smith Karl W. , MacKay C. Logan , Moore Tara , Brockbank Simon , Ruddock Mark , Cobice Diego F. 
Published: July 2022

AbstractDiabetic nephropathy (DN) is the leading cause of end-stage renal disease. Limitations in current diagnosis and screening methods have sparked a search for more specific and conclusive biomarkers. Hyperglycemic conditions generate a plethora of harmful molecules in circulation and within tissues. Oxidative stress generates reactive α-dicarbonyls and β-unsaturated hydroxyhexenals, which react with proteins to form advanced glycation end products. Mass spectrometry imaging (MSI) enables the detection and spatial localization of molecules in biological tissue sections. Here, for the first time, the localization and semiquantitative analysis of “reactive aldehydes” (RAs) 4-hydroxyhexenal (4-HHE), 4-hydroxynonenal (4-HNE), and 4-oxo-2-nonenal (4-ONE) in the kidney tissues of a diabetic mouse model is presented. Ionization efficiency was enhanced through on-tissue chemical derivatization (OTCD) using Girard’s reagent T (GT), forming positively charged hydrazone derivatives. MSI analysis was performed using matrix-assisted laser desorption ionization (MALDI) coupled with Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR). RA levels were elevated in diabetic kidney tissues compared to lean controls and localized throughout the kidney sections at a spatial resolution of 100 µm. This was confirmed by liquid extraction surface analysis–MSI (LESA-MSI) and liquid chromatography–mass spectrometry (LC–MS). This method identified β-unsaturated aldehydes as “potential” biomarkers of DN and demonstrated the capability of OTCD-MSI for detection and localization of poorly ionizable molecules by adapting existing chemical derivatization methods. Untargeted exploratory distribution analysis of some precursor lipids was also assessed using MALDI-FT-ICR-MSI.
Graphical abstract
Dimension reduction through gamma convergence for general prestrained thin elastic sheets
Authors: Padilla-Garza David 
Published: July 2022

AbstractWe study thin films with residual strain by analyzing the $$\Gamma -$$

Γ
-

limit of non-Euclidean elastic energy functionals as the material’s thickness tends to 0. We begin by extending prior results (Bhattacharya et al. in Arch Ration Mech Anal 228: 143–181, 2016); (Agostiniani et al. in ESAIM Control Opt Calculus Var 25: 24, 2019); (Lewicka and Lucic in Commun Pure Appl Math 73: 1880–1932, 2018); (Schmidt in J de Mathématiques Pures et Appliquées 88: 107–122, 2007) , to a wider class of films, whose prestrain depends on both the midplate and the transversal variables. The ansatz for our $$\Gamma -$$

Γ
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convergence result uses a specific type of wrinkling, which is built on exotic solutions to the Monge-Ampere equation, constructed via convex integration (Lewicka and Pakzad in Anal PDE 10: 695–727, 2017). We show that the expression for our $$\Gamma -$$

Γ
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limit has a natural interpretation in terms of the orthogonal projection of the residual strain onto a suitable subspace. We also show that some type of wrinkling phenomenon is necessary to match the lower bound of the $$\Gamma -$$

Γ
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limit in certain circumstances. These results all assume a prestrain of the same order as the thickness; we also discuss why it is natural to focus on that regime by considering what can happen when the prestrain is larger.
Shape optimization of a thermal insulation problem
Authors: Bucur Dorin , Nahon Mickaël , Nitsch Carlo , Trombetti Cristina 
Published: July 2022

AbstractWe study a shape optimization problem involving a solid$$K\subset {\mathbb {R}}^n$$K⊂Rnthat is maintained at constant temperature and is enveloped by a layer of insulating material$$\Omega $$Ωwhich obeys a generalized boundary heat transfer law. We minimize the energy of such configurations among all$$(K,\Omega )$$(K,Ω)with prescribed measure forKand$$\Omega $$Ω, and no topological or geometrical constraints. In the convection case (corresponding to Robin boundary conditions on$$\partial \Omega $$∂Ω) we obtain a full description of minimizers, while for general heat transfer conditions, we prove the existence and regularity of solutions and give a partial description of minimizers.