bluuebunny/crossref_metadata_2025_split huggingface dataset:
The creation of a neural network based capability profile to enable generative design and the manufacture of functional FDM parts
Authors: Goudswaard Mark , Hicks Ben , Nassehi Aydin 
Published: February 2021

AbstractIn order to manufacture functional parts using filament deposition modelling (FDM), an understanding of the machine’s capabilities is necessary. Eliciting this understanding poses a significant challenge due to a lack of knowledge relating manufacturing process parameters to mechanical properties of the manufactured part. Prior work has proposed that this could be overcome through the creation of capability profiles for FDM machines. However, such an approach has yet to be implemented and incorporated into the overall design process. Correspondingly, the aim of this paper is two-fold and includes the creation of a comprehensive capability profile for FDM and the implementation of the profile and evaluation of its utility within a generative design methodology. To provide the foundations for the capability profile, this paper first reports an experimental testing programme to characterise the influence of five manufacturing parameters on a part’s ultimate tensile strength (UTS) and tensile modulus (E). This characterisation is used to train an artificial neural network (ANN). This ANN forms the basis of a capability profile that is shown to be able to represent the mechanical properties with RMSEP of 1.95 MPa for UTS and 0.82 GPa for E. To validate the capability profile, it is incorporated into a generative design methodology enabling its application to the design and manufacture of functional parts. The resulting methodology is used to create two load bearing components where it is shown to be able to generate parts with satisfactory performance in only a couple of iterations. The novelty of the reported work lies in demonstrating the practical application of capability profiles in the FDM design process and how, when combined with generative approaches, they can make effective design decisions in place of the user.
Initial Data Rigidity Results
Authors: Eichmair Michael , Galloway Gregory J. , Mendes Abraão 
Published: February 2021

AbstractWe prove several rigidity results related to the spacetime positive mass theorem. A key step is to show that certain marginally outer trapped surfaces are weakly outermost. As a special case, our results include a rigidity result for Riemannian manifolds with a lower bound on their scalar curvature.
Health‐Related Behaviours, HIV and Active Tuberculosis are Associated with Perioperative Adverse Events Following Emergency Laparotomy at a Tertiary Surgical Service in KwaZulu‐Natal, South Africa
Authors: Smith Michelle T. D. , Bruce John L. , Clarke Damian L. 
Published: February 2021

AbstractIntroductionThis project aims to define the common comorbidities associated with patients undergoing emergency laparotomy in South Africa, to review the impact of these comorbidities on outcome and to attempt to model these various factors.MethodA retrospective review of all patients undergoing emergency laparotomy for an emergency general surgical condition was performed from the prospectively entered Hybrid Electronic Medical Registry (HEMR). Univariate and multiple logistic regression analysis was performed to establish associations and independent risk factors for developing an adverse event.ResultsOver a six‐year time period, a total of 1464 patients underwent emergency laparotomy. The median age was 34 years. Males constituted 58.8% (861) of the patients and 754 patients (51.5%) experienced at least one adverse event. The mortality rate was 12 percent. Comorbidities and social factors were documented in 912 patients (62.3%). The rate of adverse events among patients with comorbidities was 59% (538). Patients without comorbidities or significant social factors had an adverse event rate of 39.1% (216). This difference was statistically significant (p < 0.001). The most frequent comorbidity in our sample was HIV, followed by hypertension, underlying malignancy, diabetes mellitus, active TB and cardiovascular disease.ConclusionEmergency laparotomy in South Africa is associated with significant morbidity and mortality. The patients are younger than in high‐income countries. Diabetes mellitus, hypertension, HIV and active TB are associated with the development of an AE.
Effects of corallivory and coral colony density on coral growth and survival
Authors: Kopecky Kai L. , Cook Dana T. , Schmitt Russell J. , Stier Adrian C. 
Published: February 2021

AbstractA suite of processes drive variation in coral populations in space and time, yet our understanding of how variation in coral density affects coral performance is limited. Theory predicts that reductions in density can send coral populations into a predator pit, where concentrated corallivory maintains corals at low densities. In reality, how variation in coral density alters corallivory rates is poorly resolved. Here, we experimentally quantified the effects of corallivory and coral density on growth and survival of small colonies of the staghorn coral Acropora pulchra. Our findings suggest that coral density and corallivory have strong but independent effects on coral performance. In the presence of corallivores, corals suffered high but density-independent mortality. When corallivores were excluded, however, vertical extension rates of colonies increased with increasing densities. While we found no evidence for a predator pit, our results suggest that spatio-temporal variation in corallivore and coral densities can fundamentally alter population dynamics via strong effects on juvenile corals.
Specific sagittal alignment patterns are already present in mild adolescent idiopathic scoliosis
Authors: Schlösser Tom P. C. , Castelein René M. , Grobost Pierre , Shah Suken A. , Abelin-Genevois Kariman 
Published: February 2021

Abstract
Purpose
The complex three-dimensional spinal deformity in AIS consists of rotated, lordotic apical areas and neutral junctional zones that modify the spine’s sagittal profile. Recently, three specific patterns of thoracic sagittal ‘malalignment’ were described for severe AIS. The aim of this study is to define whether specific patterns of pathological sagittal alignment are already present in mild AIS.

Methods
Lateral spinal radiographs of 192 mild (10°–20°) and 253 severe (> 45°) AIS patients and 156 controls were derived from an international consortium. Kyphosis characteristics (T4–T12 thoracic kyphosis, T10–L2 angle, C7 slope, location of the apex of kyphosis and of the inflection point) and sagittal curve types according to Abelin-Genevois were systematically compared between the three cohorts.

Results
Even in mild thoracic AIS, already 49% of the curves presented sagittal malalignment, mostly thoracic hypokyphosis, whereas only 13% of the (thoraco) lumbar curves and 6% of the nonscoliosis adolescents were hypokyphotic. In severe AIS, 63% had a sagittal malalignment. Hypokyphosis + thoracolumbar kyphosis occurred more frequently in high-PI and primary lumbar curves, whereas cervicothoracic kyphosis occurred more in double thoracic curves.

Conclusions
Pathological sagittal patterns are often already present in curves 10°–20°, whereas those are rare in non-scoliotic adolescents. This suggests that sagittal ‘malalignment’ patterns are an integral part of the early pathogenesis of AIS.
Optimization framework for DFG-based automated process discovery approaches
Authors: Augusto Adriano , Dumas Marlon , La Rosa Marcello , Leemans Sander J. J. , vanden Broucke Seppe K. L. M. 
Published: February 2021

AbstractThe problem of automatically discovering business process models from event logs has been intensely investigated in the past two decades, leading to a wide range of approaches that strike various trade-offs between accuracy, model complexity, and execution time. A few studies have suggested that the accuracy of automated process discovery approaches can be enhanced by means of metaheuristic optimization techniques. However, these studies have remained at the level of proposals without validation on real-life datasets or they have only considered one metaheuristic in isolation. This article presents a metaheuristic optimization framework for automated process discovery. The key idea of the framework is to construct a directly-follows graph (DFG) from the event log, to perturb this DFG so as to generate new candidate solutions, and to apply a DFG-based automated process discovery approach in order to derive a process model from each DFG. The framework can be instantiated by linking it to an automated process discovery approach, an optimization metaheuristic, and the quality measure to be optimized (e.g., fitness, precision, F-score). The article considers several instantiations of the framework corresponding to four optimization metaheuristics, three automated process discovery approaches (Inductive Miner—directly-follows, Fodina, and Split Miner), and one accuracy measure (Markovian F-score). These framework instances are compared using a set of 20 real-life event logs. The evaluation shows that metaheuristic optimization consistently yields visible improvements in F-score for all the three automated process discovery approaches, at the cost of execution times in the order of minutes, versus seconds for the baseline approaches.
Cyanobacteria-shrimp colonies in the Mariana Islands
Authors: Leber Christopher A. , Reyes Andres Joshua , Biggs Jason S. , Gerwick William H. 
Published: February 2021

AbstractCyanobacteria have multifaceted ecological roles on coral reefs. Moorena bouillonii, a chemically rich filamentous cyanobacterium, has been characterized as a pathogenic organism with an unusual ability to overgrow gorgonian corals, but little has been done to study its general growth habits or its unique association with the snapping shrimp Alpheus frontalis. Quantitative benthic surveys, and field and photographic observations were utilized to develop a better understanding of the ecology of these species, while growth experiments and nutrient analysis were performed to examine how this cyanobacterium may be benefiting from its shrimp symbiont. Colonies of M. bouillonii and A. frontalis displayed considerable habitat specificity in terms of occupied substrate. Although found to vary in abundance and density across survey sites and transects, M. bouillonii was consistently found to be thriving with A. frontalis within interstitial spaces on the reef. Removal of A. frontalis from cyanobacterial colonies in a laboratory experiment altered M. bouillonii pigmentation, whereas cyanobacteria-shrimp colonies in the field exhibited elevated nutrient levels compared to the surrounding seawater.
Parameterised complexity of model checking and satisfiability in propositional dependence logic
Authors: Mahmood Yasir , Meier Arne 
Published: February 2021

AbstractDependence Logic was introduced by Jouko Väänänen in 2007. We study a propositional variant of this logic(PDL)and investigate a variety of parameterisations with respect to central decision problems. The model checking problem (MC) ofPDLisNP-complete (Ebbing and Lohmann, SOFSEM 2012). The subject of this research is to identify a list of parameterisations (formula-size, formula-depth, treewidth, team-size, number of variables) under which MC becomes fixed-parameter tractable. Furthermore, we show that the number of disjunctions or the arity of dependence atoms (dep-arity) as a parameter both yield a paraNP-completeness result. Then, we consider the satisfiability problem (SAT) which classically is known to beNP-complete as well (Lohmann and Vollmer, Studia Logica 2013). There we are presenting a different picture: under team-size, or dep-arity SAT isparaNP-complete whereas under all other mentioned parameters the problem isFPT. Finally, we introduce a variant of the satisfiability problem, asking for a team of a given size, and show for this problem an almost complete picture.
Differences and similarities between kraft and oxygen delignification of softwood fibers: effects on mechanical properties
Authors: Esteves Cláudia V. , Sevastyanova Olena , Östlund Sören , Brännvall Elisabet 
Published: February 2021

AbstractCharged groups in pulp have been shown to enhance the tensile strength of the paper produced from the pulp. Oxygen delignification introduces charged groups and it is of interest to determine how the delignification should be distributed between the cooking and the oxygen stage with respect to mechanical properties. A number of unbleached kraft cooked and oxygen delignified pulps within a wide kappa number range were produced and refined, and the effects of the refining on the morphology and mechanical properties were studied. The WRV correlated with the fiber charge and at a given fiber charge, kraft cooked and oxygen delignified pulps had the same WRV development in refining, although they had significantly different kappa numbers. The tensile strength development during refining depends on the fiber rigidity which is affected by the lignin content, the fiber charge and the chemical and mechanical processes used. Refining increased the curl of the kraft cooked pulps and decreased the curl of oxygen delignified pulps, irrespective of kappa number. A greater increase in tensile strength was seen for the pulps with a higher fiber charge and WRV, probably because of the greater degree of fibrillation achieved in the beating process. Despite the greater fiber deformation in the oxygen delignified pulps, the strength can be increased by a larger amount of charged groups and a greater swelling of the fibers.Graphic abstract
TTC3-Mediated Protein Quality Control, A Potential Mechanism for Cognitive Impairment
Authors: Zhou Xu , Chen Xiongjin , Hong Tingting , Zhang Miaoping , Cai Yujie , Cui Lili 
Published: February 2021

AbstractThe tetrapeptide repeat domain 3 (TTC3) gene falls within Down's syndrome (DS) critical region. Cognitive impairment is a common phenotype of DS and Alzheimer’s disease (AD), and overexpression of TTC3 can accelerate cognitive decline, but the specific mechanism is unknown. The TTC3-mediated protein quality control (PQC) mechanism, similar to the PQC system, is divided into three parts: it acts as a cochaperone to assist proteins in folding correctly; it acts as an E3 ubiquitin ligase (E3s) involved in protein degradation processes through the ubiquitin–proteasome system (UPS); and it may also eventually cause autophagy by affecting mitochondrial function. Thus, this article reviews the research progress on the structure, function, and metabolism of TTC3, including the recent research progress on TTC3 in DS and AD; the role of TTC3 in cognitive impairment through PQC in combination with the abovementioned attributes of TTC3; and the potential targets of TTC3 in the treatment of such diseases.
Assessing urban heat-related adaptation strategies under multiple futures for a major U.S. city
Authors: Rohat Guillaume , Wilhelmi Olga , Flacke Johannes , Monaghan Andrew , Gao Jing , van Maarseveen Martin , Dao Hy 
Published: February 2021

AbstractUrban areas are increasingly affected by extreme heat in the face of climate change, while the size and vulnerability of exposed populations are shifting due to economic development, demographic change, and urbanization. In addition to the need to assess future urban heat-related health risks, there is also an increasing need to design adaptation strategies that will be effective under varying levels of socioeconomic development and climate change. We use the case study of Houston, Texas, to develop and demonstrate a scenario-based approach to explore the effectiveness of both autonomous and planned heat-related adaptations under multiple plausible futures. We couple a heat risk model with urban climate projections (under the Representative Concentration Pathways) and vulnerability projections (under locally extended Shared Socioeconomic Pathways) to investigate the impact of different adaptation strategies under multiple scenario combinations. We demonstrate that, in the context of Houston, community-based adaptation strategies aiming to reduce social isolation are the most effective and the least challenging to implement across all plausible futures. Scenario-based approaches can provide local policymakers with context-specific assessments of possible adaptation strategies that account for uncertain futures.
Social-Pragmatic Inferencing, Visual Social Attention and Physiological Reactivity to Complex Social Scenes in Autistic Young Adults
Authors: Dindar Katja , Loukusa Soile , Helminen Terhi M. , Mäkinen Leena , Siipo Antti , Laukka Seppo , Rantanen Antti , Mattila Marja-Leena , Hurtig Tuula , Ebeling Hanna 
Published: February 2021

AbstractThis study examined social-pragmatic inferencing, visual social attention and physiological reactivity to complex social scenes. Participants were autistic young adults (n = 14) and a control group of young adults (n = 14) without intellectual disability. Results indicate between-group differences in social-pragmatic inferencing, moment-level social attention and heart rate variability (HRV) reactivity. A key finding suggests associations between increased moment-level social attention to facial emotion expressions, better social-pragmatic inferencing and greater HRV suppression in autistic young adults. Supporting previous research, better social-pragmatic inferencing was found associated with less autistic traits.
Exploring causal relationships qualitatively: An empirical illustration of how causal relationships become visible across episodes and contexts
Authors: Jensen Ruth 
Published: February 2021

AbstractCausal relationships are traditionally examined in quantitative research. However, this article informs the discussion surrounding the potential use of qualitative data to explore causal relationships qualitatively through an empirical illustration of a school leadership development team. As school leadership development is supposed to offer continuing development to practicing school leaders, it brings into question the issue of causal relationships. This study analyzes audio and video recordings from 10 workshops involving a team of principals, municipality leaders, and researchers who met over two years to support the principals in leading a local school improvement program. The process data are organized into episodes and analyzed in three layers of causation an interpretative layer, a contradictory layer, and an agentive layer grounded in cultural-historical activity theory. When tracing a problem statement across episodes and relating the processes to events in a principal practice, causal relationships became visible across the episodes and contexts. The argument, then, is that the results are achieved in the processes. As such, process data can reveal causal relationships that quantitative data cannot.
Belousov-Zhabotinsky type reactions: the non-linear behavior of chemical systems
Authors: Cassani Andrea , Monteverde Alessandro , Piumetti Marco 
Published: February 2021

AbstractChemical oscillators are open systems characterized by periodic variations of some reaction species concentration due to complex physico-chemical phenomena that may cause bistability, rise of limit cycle attractors, birth of spiral waves and Turing patterns and finally deterministic chaos. Specifically, the Belousov-Zhabotinsky reaction is a noteworthy example of non-linear behavior of chemical systems occurring in homogenous media. This reaction can take place in several variants and may offer an overview on chemical oscillators, owing to its simplicity of mathematical handling and several more complex deriving phenomena. This work provides an overview of Belousov-Zhabotinsky-type reactions, focusing on modeling under different operating conditions, from the most simple to the most widely applicable models presented during the years. In particular, the stability of simplified models as a function of bifurcation parameters is studied as causes of several complex behaviors. Rise of waves and fronts is mathematically explained as well as birth and evolution issues of the chaotic ODEs system describing the Györgyi-Field model of the Belousov-Zhabotinsky reaction. This review provides not only the general information about oscillatory reactions, but also provides the mathematical solutions in order to be used in future biochemical reactions and reactor designs.
Stable Filtering Procedures for Nodal Discontinuous Galerkin Methods
Authors: Nordström Jan , Winters Andrew R. 
Published: February 2021

AbstractWe prove that the most common filtering procedure for nodal discontinuous Galerkin (DG) methods is stable. The proof exploits that the DG approximation is constructed from polynomial basis functions and that integrals are approximated with high-order accurate Legendre–Gauss–Lobatto quadrature. The theoretical discussion re-contextualizes stable filtering results for finite difference methods into the DG setting. Numerical tests verify and validate the underlying theoretical results.
Backbone Decomposition of Multitype Superprocesses
Authors: Fekete Dorottya , Palau Sandra , Pardo Juan Carlos , Pérez Jose Luis 
Published: February 2021

AbstractIn this paper, we provide a construction of the so-called backbone decomposition for multitype supercritical superprocesses. While backbone decompositions are fairly well known for both continuous-state branching processes and superprocesses in the one-type case, so far no such decompositions or even description of prolific genealogies have been given for the multitype cases. Here we focus on superprocesses, but by turning the movement off, we get the prolific backbone decomposition for multitype continuous-state branching processes as an easy consequence of our results.
Improving architectural traits of maize inflorescences
Authors: Chen Zongliang , Gallavotti Andrea 
Published: February 2021

AbstractThe domestication and improvement of maize resulted in radical changes in shoot architecture relative to its wild progenitor teosinte. In particular, critical modifications involved a reduction of branching and an increase in inflorescence size to meet the needs for human consumption and modern agricultural practices. Maize is a major contributor to global agricultural production by providing large and inexpensive quantities of food, animal feed, and ethanol. Maize is also a classic system for studying the genetic regulation of inflorescence formation and its enlarged female inflorescences directly influence seed production and yield. Studies on the molecular and genetic networks regulating meristem proliferation and maintenance, including receptor-ligand interactions, transcription factor regulation, and hormonal control, provide important insights into maize inflorescence development and reveal potential avenues for the targeted modification of specific architectural traits. In this review, we summarize recent findings on the molecular mechanisms controlling inflorescence formation and discuss how this knowledge can be applied to improve maize productivity in the face of present and future environmental challenges.