bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical Effects of the ‘Crisis Toolbox’ (CTB): A Brief, Skills Based, Intervention Delivered in a Crisis Resolution and Home Treatment Team
Authors: Mulligan Lee D. , Neil Sandra T. , Carter Lesley-Anne , DeBank Georgia , Johnstone Megan , Fox Katie , Veakins Dominic 
Published: March 2023

AbstractAccess to psychological interventions for people under Crisis Resolution and Home Treatment Teams (CRHTTs) is limited. The Crisis Toolbox (CTB) is a skills-based intervention designed to increase access using flexible methods of delivery. This study aimed to evaluate the clinical effects of the CTB. A retrospective service evaluation of 399 participants who accessed the CTB between November 2020 and February 2021 was employed. Sessional measures comprising the Patient Health Questionnaire (PHQ-9) and Generalised Anxiety Scale (GAD-7) were recorded across three time points. Overall, there were significantly decreasing trends in PHQ-9 (β = − 1.6, p < 0.001) and GAD-7 scores (β = − 1.5, p < 0.001) in participants who accessed the CTB. The magnitude and direction of specific trends differed according to age, diagnosis, and neurodiversity. The CTB could help reduce depression and anxiety in people experiencing crisis. Randomised controlled trials are now required to test its acceptability, feasibility, and effectiveness.
Stimulating the Development of Rhythmic Abilities in Preschool Children in Montessori Kindergartens with Music-Movement Activities: A Quasi-Experimental Study
Authors: Laure Maruša , Habe Katarina 
Published: March 2023

AbstractThis article examines the effects of Montessori music-movement activities on the development of the rhythmic abilities of 59 children from Montessori preschools, aged between 3 and 6 years. Children were deployed into two experimental groups (EG 1 (n = 20) & EG 2 (n = 22)) and a control group (CG) (n = 17). Our intervention consisted of introducing 15 to 20 min of unstructured movement time, either accompanied by a piano (EG 1) or recording (EG 2), three times a week for four months, whereas the control group carried on the usual Montessori program. We used a quasi-experimental nonequivalent groups design with pretest–posttest. Three tests for measuring rhythmic abilities were used: auditory discrimination of the rhythmic patterns, imitation of spoken rhythmic phrases, and determining the synchronization of movement with the rhythm of the music. The interventions had a positive effect on the development of the rhythmic abilities of children included in the study. The most significant effect was noticed in EG 1, while no effect of non-activity was detected in the control group.
Cognitive Profiles of Children with Isolated and Comorbid Learning Difficulties in Reading and Math: a Meta-analysis
Authors: Viesel-Nordmeyer Nurit , Reuber Julia , Kuhn Jörg-Tobias , Moll Kristina , Holling Heinz , Dobel Christian 
Published: March 2023

AbstractThe causes underlying comorbid learning difficulties in reading (RD) and math (MD) are still a matter of debate. Based on current research, two models for the relation of the cognitive profile of isolated and combined learning difficulties (RDMD) are discussed. Regarding the “multi-deficit model”, the profile of RDMD is characterized by the sum of domain-specific core deficits of RD and MD (additivity) as well as shared domain-general risk factors of RD and MD resulting in less severe deficits than expected under additivity (under-additivity). The “three independent disorders model” explains RDMD as a distinct learning disorder, showing a separate cognitive profile with distinct and/or more severe deficits, compared to the sum of RD’s and MD’s profiles (over-additivity). To evaluate these approaches, a meta-analysis including 74 studies, examining children aged 6–12, was conducted. Separate group comparisons for the three subcomponents in the cognitive profiles—reading, math, executive functions (EF)—were considered. Linear hypothesis testing revealed different results regarding the three subcomponents of the cognitive profiles of children with isolated vs. combined learning difficulties: Whereas RDMDs’ deficits in reading and math represented the sum of the deficits in the isolated groups (additivity), there was some evidence that RDMDs’ deficits in EF skills corresponded to under-additivity. Furthermore, group differences in math skills were more pronounced in symbolic than in non-symbolic math tasks, whereas in reading, group differences were larger in phonological processing and reading than in rapid automatized naming and language skills. Results are discussed in terms of intervention options for RDMD.
Bedload transport through emergent vegetation: current status and its future prospect
Authors: D’Ippolito Antonino , Calomino Francesco , Dey Subhasish , Gaudio Roberto , Penna Nadia 
Published: March 2023

AbstractVegetation present in the water streams, on the banks and in the floodplain areas largely affects the river hydraulics. Indeed, river vegetation significantly influences hydrodynamics, sediment transport, bedforms, and pollutant transport. Environmental management of rivers requires an understanding of the various processes and predictive capabilities of models. In the past, many studies were conducted, especially in laboratory settings, in order to quantify flow resistance due to vegetation. It is only recently that the effects of vegetation on sediment transport came to the attention of researchers. In particular, both suspended and bedload transport were considered. This paper reviews recent works conducted on the effect of vegetation on incipient sediment motion and bedload transport. With regard to the incipient sediment motion, methods based on critical velocity, turbulence, vegetation drag, and velocity in the bed roughness boundary layer have been discussed. For bedload transport, methods based on bed shear stress, turbulent kinetic energy, a revisiting of classical formulas for estimating bedload transport in non-vegetated channels, and estimation from erosion around a single vegetation stem are analyzed. Finally, indications on further research and new development are provided.
JEMMA: An extensible Java dataset for ML4Code applications
Authors: Karmakar Anjan , Allamanis Miltiadis , Robbes Romain 
Published: March 2023

AbstractMachine Learning for Source Code () is an active research field in which extensive experimentation is needed to discover how to best use source code’s richly structured information. With this in mind, we introduce : An Extensible Java Dataset for Applications, which is a large-scale, diverse, and high-quality dataset targeted at . Our goal with is to lower the barrier to entry in by providing the building blocks to experiment with source code models and tasks. comes with a considerable amount of pre-processed information such as metadata, representations (e.g., code tokens, ASTs, graphs), and several properties (e.g., metrics, static analysis results) for 50,000 Java projects from the dataset, with over 1.2 million classes and over 8 million methods. is also extensible allowing users to add new properties and representations to the dataset, and evaluate tasks on them. Thus, becomes a workbench that researchers can use to experiment with novel representations and tasks operating on source code. To demonstrate the utility of the dataset, we also report results from two empirical studies on our data, ultimately showing that significant work lies ahead in the design of context-aware source code models that can reason over a broader network of source code entities in a software project—the very task that is designed to help with.
Hidden freedom in the mode expansion on static spacetimes
Authors: de Souza Campos Lissa , Dappiaggi Claudio , Sinibaldi Luca 
Published: March 2023

AbstractWe review the construction of ground states focusing on a real scalar field whose dynamics is ruled by the Klein–Gordon equation on a large class of static spacetimes. As in the analysis of the classical equations of motion, when enough isometries are present, via a mode expansion the construction of two-point correlation functions boils down to solving a second order, ordinary differential equation on an interval of the real line. Using the language of Sturm–Liouville theory, most compelling is the scenario when one endpoint of such interval is classified as a limit circle, as it often happens when one is working on globally hyperbolic spacetimes with a timelike boundary. In this case, beyond initial data, one needs to specify a boundary condition both to have a well-defined classical dynamics and to select a corresponding ground state. Here, we take into account boundary conditions of Robin type by using well-known results from Sturm–Liouville theory, but we go beyond the existing literature by exploring an unnoticed freedom that emerges from the intrinsic arbitrariness of secondary solutions at a limit circle endpoint. Accordingly, we show that infinitely many one-parameter families of sensible dynamics are admissible. In other words, we emphasize that physical constraints guaranteeing the construction of ground states do not, in general, fix one such state unambiguously. In addition, we provide, in full detail, an example on $$(1 + 1)$$

(
1
+
1
)

-half Minkowski spacetime to spell out the rationale in a specific scenario where analytic formulae can be obtained.
Crop wild relatives in Lebanon: mapping the distribution of Poaceae and Fabaceae priority taxa for conservation planning
Authors: Sayde Eliane , Raggi Lorenzo , Chalak Lamis , Yazbek Mariana , Negri Valeria 
Published: March 2023

AbstractLebanon is a part of the Fertile Crescent recognized for its agrobiodiversity wealth in terms of both cultivated plants and crop wild relatives (CWR) diversity. Within the context of climate change and its adverse effect on agrobiodiversity, conservation of CWRs in Lebanon is essential to prevent the loss of potentially useful genetic diversity and to facilitate their use in crop breeding. To establish a comprehensive conservation plan for Lebanese CWR belonging to Poaceae and Fabaceae, in this study we prioritized 16 taxa based on their value for world security and local economy, gene pool (primary and secondary) and genome type (A, B and D for Triticum genera). Georeferenced occurrence data of populations belonging to the prioritized taxa list were retrieved from different sources and imported into QGIS to visualize by mapping their distribution in-situ and ex-situ on the Lebanese territory, highlighting sites with highest density per genus and sites characterised by the highest taxa richness. The analysis allowed to identify Lebanese areas that still need further surveying actions (mainly the south-west parts of the country) and showed that priority taxa had different distribution pattern independently from genus. Bekaa and Baalbak governorates were evaluated to include sites represented with highest taxa richness, which makes them preliminary contenders to be included within in-situ conservation actions. This study provided a foundation for further research into the conservation planning of crop wild relatives belonging to Poaceae and Fabaceae in Lebanon by identifying areas with highest taxa richness.
Predicting drug shortages using pharmacy data and machine learning
Authors: Pall Raman , Gauthier Yvan , Auer Sofia , Mowaswes Walid 
Published: March 2023

AbstractDrug shortages are a global and complex issue having negative impacts on patients, pharmacists, and the broader health care system. Using sales data from 22 Canadian pharmacies and historical drug shortage data, we built machine learning models predicting shortages for the majority of the drugs in the most-dispensed interchangeable groups in Canada. When breaking drug shortages into four classes (none, low, medium, high), we were able to correctly predict the shortage class with 69% accuracy and a kappa value of 0.44, one month in advance, without access to any inventory data from drug manufacturers and suppliers. We also predicted 59% of the shortages deemed to be most impactful (given the demand for the drugs and the potential lack of interchangeable options). The models consider many variables, including the average days of a drug supply per patient, the total days of a drug supply, previous shortages, and the hierarchy of drugs within different drug groups and therapeutic classes. Once in production, the models will allow pharmacists to optimize their orders and inventories, and ultimately reduce the impact of drug shortages on their patients and operations.
The genetic basis for adult-onset idiopathic dilated cardiomyopathy in people of African descent
Authors: Tsabedze Nqoba , Ramsay Michele , Krause Amanda , Wells Quinn , Mpanya Dineo , Manga Pravin 
Published: March 2023

AbstractCardiomyopathies are a heterogeneous group of cardiac muscle disorders that result in dilated, hypertrophic, or restrictive pathophysiological entities. Dilated cardiomyopathy (DCM) is the most common form in sub-Saharan Africa (SSA). However, population-specific research studies reporting the actual burden of DCM in this region are still lacking. Also, little is known about the genetic basis of DCM in this population, and genetic testing is still not readily accessible. This review describes the common pathogenic genes implicated in DCM globally and discusses the evidence-based management of patients with DCM. We also present a summary of studies describing genes implicated or associated with DCM in patients residing in SSA.
Controlling time-varying confounding in difference-in-differences studies using the time-varying treatments framework
Authors: Myint Leslie 
Published: March 2023

AbstractThis article clarifies how the biostatistical literature on time-varying treatments (TVT) can provide tools for dealing with time-varying confounding in difference-in-differences (DiD) studies. I use a simulation study to compare the bias and standard error of inverse probability weighting estimators from the TVT framework, a DiD framework, and hybrid approaches that combine ideas from both frameworks. I simulated longitudinal data with treatment effect heterogeneity over multiple time points using linear and logistic models. Simulation settings looked at both time-invariant confounders and time-varying confounders affected by prior treatment. Estimators that combined ideas from both frameworks had lower bias than standard TVT and DiD estimators when assumptions were unmet. The TVT framework provides estimation tools that can complement DiD tools in a wide range of applied settings. It also provides alternate estimands for consideration in policy settings.
Bram Büscher: The Truth about Nature: Environmentalism in the Era of Post-truth Politics and Platform Capitalism. University of California Press, Oakland. 2021. ISBN: 978-0-520-37145-3 (Paper), ISBN: 978-0-520-37144-6 (Cloth); ISBN: 978-0-520-97615-3 (epub); xiv + 230 Pages, Index
Authors: Kleinod Michael 
Published: March 2023

AbstractThis article reviews Bram Büscher’s book The Truth about Nature: Environmentalism in the Era of Post-truth Politics and Platform Capitalism (2021).
A meta-analysis of drought effects on litter decomposition in streams
Authors: Ferreira Verónica , Graça Manuel A. S. , Elosegi Arturo 
Published: March 2023

AbstractDroughts, or severe reductions of water flow, are expected to become more frequent and intense in rivers in many regions under the ongoing climate change scenario. It is therefore important to understand stream ecosystem functioning under drought conditions. We performed a meta-analysis of studies addressing drought effects on litter decomposition in streams (50 studies contributing 261 effect sizes) to quantify overall drought effects on this key ecosystem process and to identify the main moderators controlling these effects. Drought reduced litter decomposition by 43% overall, which can impact energy and matter fluxes along heterotrophic food webs. The magnitude of drought effects on litter decomposition depended on the type of drought (natural drought > human-induced drought), type of decomposer community (microbes + macroinvertebrates > microbes) under natural drought, climate (warm and humid > temperate and Mediterranean) under human-induced drought, and on litter identity. The magnitude of drought effects on litter decomposition also increased with the severity of the drought. The effects of ongoing climate change will likely be strongest in streams with abundant shredders undergoing natural drought, especially if the streams become temporary. The composition of the riparian vegetation may modulate the magnitude of drought effects on litter decomposition, which may have management applications.
Quantum Particle on Dual Weight Lattice in Even Weyl Alcove
Authors: Hrivnák Jiří , Motlochová Lenka , Novotný Petr 
Published: March 2023

AbstractEven subgroups of affine Weyl groups corresponding to irreducible crystallographic root systems characterize families of single-particle quantum systems. Induced by primary and secondary sign homomorphisms of the Weyl groups, free propagations of the quantum particle on the refined dual weight lattices inside the rescaled even Weyl alcoves are determined by Hamiltonians of tight-binding types. Described by even hopping functions, amplitudes of the particle’s jumps to the lattice neighbours are together with diverse boundary conditions incorporated through even hopping operators into the resulting even dual-weight Hamiltonians. Expressing the eigenenergies via weighted sums of the even Weyl orbit functions, the associated time-independent Schrödinger equations are exactly solved by applying the discrete even Fourier–Weyl transforms. Matrices of the even Hamiltonians together with specifications of the complementary boundary conditions are detailed for the C2 and G2 even dual-weight models.
Two-year outcomes of patients presenting to Sydney Eye Hospital with neovascular glaucoma
Authors: Kingston Ezekiel J. , Lusthaus Jed A. 
Published: March 2023

AbstractBackgroundNeovascular glaucoma (NVG) is a sight-threatening condition that is often refractory to treatment. Current management principles are yet to be standardized due to lack of evidence. We studied the interventions used to treat NVG at Sydney Eye Hospital (SEH) and the two-year surgical outcomes.MethodsWe performed a retrospective audit of 67 eyes of 58 patients with NVG from January 1, 2013, to December 31, 2018. Intraocular pressure (IOP), best-corrected visual acuity (BCVA), number of medications, repeat surgery, recurrent neovascularization, loss of light perception and pain were studied.ResultsThe average age of the cohort was 59.67 years (SD 14.22). The most common etiologies were proliferative diabetic retinopathy (35 eyes; 52.2%), central retinal vein occlusion (18 eyes; 26.9%) and ocular ischemic syndrome (7 eyes; 10.4%). 70.1% of eyes (47) received vascular endothelial growth factor injections (VEGFI), 41.8% (28 eyes) received pan-retinal photocoagulation (PRP) and 37.3% (25 eyes) received both prior to or within the first week of presentation to SEH. The most common initial surgical interventions were trans-scleral cyclophotocoagulation (TSCPC) (36 eyes; 53.7%) and Baerveldt tube insertion (18 eyes; 26.9%). 62.7% of eyes (42 eyes) failed (IOP > 21 or < 6 mmHg for two consecutive reviews, further IOP-lowering surgery or loss of light perception) during follow-up. Initial TSCPC failed in 75.0% (27/36 eyes) compared with 44.4% (8/18 eyes) after Baerveldt tube insertion.ConclusionOur study reinforces the refractory nature of NVG, often despite intensive treatment and surgery. Improvements in patient outcomes may be achieved with earlier consideration of VEGFI and PRP. This study identifies the limitations of surgical interventions for NVG and highlights the need for a standardized management approach.
Iterative transformations for deeper exploration during concept generation
Authors: Clancy Shannon M. , Murphy Laura R. , Daly Shanna R. , Seifert Colleen M. 
Published: March 2023

AbstractEngineering designers often generate multiple concepts to increase novelty and diversity among early solution candidates. Many past studies have focused on creating new concepts “from scratch;” however, designers at every level become fixated on their initial designs and struggle to generate different ideas. In line with prior work on design transformations, we propose a concept generation process ofiterative transformationto create new ideas by intentionally introducing major changes in form, nature, or function to an existing concept. A study of this concept generation process recruited beginning engineering students likely to benefit from an alternative to "blank slate" generation. Working alone in a single test session, students generated an initial concept for a presented design problem. Then, they were instructed to generate another concept by transforming their initial design into a new concept and repeated this process to create three more concepts. In a second design round, students were asked to consider 7 Design Heuristics strategies to prompt possible transformations for their concepts. Beginning again with their initial concept, each student generated another set of four transformed concepts using iterative transformation. The analysis considered 60 initial concepts and 476 transformed concepts with and without the use of Design Heuristics. We createdDesign Transformation Diagramsto observe links (sequential, non-sequential, or both) between transformed concepts within each set of four concepts and between the two sets. Three patterns across the diagrams were identified: Fully Sequential, Sequential with Deviation, and Divergent. When aided by Design Heuristics, transformations included more non-sequential links, suggesting synthesis, refinement, and extension of other prior concepts, and resulting in more varied and distinct transformations. This iterative transformation process may support more diversity in concepts generated through a deeper exploration of related concepts without requiring an escape from the influence of existing concepts. Concept generation strategies like Design Heuristics may support engineering students as they learn to expand their early exploration of design concepts.
Structural mechanism of Fab domain dissociation as a measure of interface stability
Authors: Pomarici Nancy D. , Waibl Franz , Quoika Patrick K. , Bujotzek Alexander , Georges Guy , Fernández-Quintero Monica L. , Liedl Klaus R. 
Published: March 2023

AbstractTherapeutic antibodies should not only recognize antigens specifically, but also need to be free from developability issues, such as poor stability. Thus, the mechanistic understanding and characterization of stability are critical determinants for rational antibody design. In this study, we use molecular dynamics simulations to investigate the melting process of 16 antigen binding fragments (Fabs). We describe the Fab dissociation mechanisms, showing a separation in the VH–VL and in the CH1–CL domains. We found that the depths of the minima in the free energy curve, corresponding to the bound states, correlate with the experimentally determined melting temperatures. Additionally, we provide a detailed structural description of the dissociation mechanism and identify key interactions in the CDR loops and in the CH1–CL interface that contribute to stabilization. The dissociation of the VH–VL or CH1–CL domains can be represented by conformational changes in the bend angles between the domains. Our findings elucidate the melting process of antigen binding fragments and highlight critical residues in both the variable and constant domains, which are also strongly germline dependent. Thus, our proposed mechanisms have broad implications in the development and design of new and more stable antigen binding fragments.