bluuebunny/crossref_metadata_2025_split huggingface dataset:
Testing and Development of Slightly Thick Infant Formula Recipes for Dysphagia Management: An Australian Perspective
Authors: Marshall Jeanne , Buttsworth Jordyn , Grandt Hannah D. S. , Raatz Madeline , Signorini Annabelle , Fernando Shenali , Clarke Sally 
Published: January 2023

AbstractThickened feeds may be useful in supporting improved suck–swallow–breath coordination and airway protection in infants with dysphagia. Unfortunately, the stability of thickened feeds for infant formulas is unpredictable, which makes use of this strategy challenging. This study aimed to propose a set of Level 1 (slightly thick) recipes for Australian infant formulas/thickeners. A secondary aim was to test whether formula could be batch prepared. A set of powdered, ready-to-feed, and specialized formulas were mixed with two thickening products (Aptamil Feed Thickener® and Supercol®) and tested at 5-, 10-, 15-, 20-, 25-, 30-, and 45-min intervals using the International Dysphagia Diet Standardization Initiative (IDDSI) Flow Test. Formula/thickener samples were mixed following manufacturer instructions, but recipes were adapted to determine an ideal recipe for Level 1 (slightly thick) consistency that would be maintained over a feed. Samples were refrigerated, reheated after 12 h, and retested. Each combination was tested six times. Overall, 1,353 IDDSI Flow Tests were conducted using 14 formula/thickener combinations. In all combinations, recipe alterations were made using metric spoon measurements as opposed to the manufacturer-provided scoop. All samples were most variable at the 5-min timepoint. Formulas thickened with Supercol® generally reached a more stable consistency by 10 min, whereas formulas thickened with Aptamil Feed Thickener® were more stable by 15 min. Samples tested after 12 h were more variable with Aptamil Feed Thickener®. This study provides practical recommendations for clinicians working with infants requiring thickened feeds for dysphagia management. Further study under controlled laboratory conditions is required.
Finite strain poro-hyperelasticity: an asymptotic multi-scale ALE-FSI approach supported by ANNs
Authors: Dehghani Hamidreza , Zilian Andreas 
Published: January 2023

AbstractThis contribution introduces and discusses a formulation of poro-hyperelasticity at finite strains. The prediction of the time-dependent response of such media requires consideration of their characteristic multi-scale and multi-physics parameters. In the present work this is achieved by formulating a non-dimensionalised fluid–solid interaction problem (FSI) at the pore level using an arbitrary Lagrange–Euler description (ALE). The resulting coupled systems of PDEs on the reference configuration are expanded and analysed using the asymptotic homogenisation technique. This approach yields three partially novel systems of PDEs: the macroscopic/effective problem and two supplementary microscale problems (fluid and solid). The latter two provide the microscopic response fields whose average value is required in real-time/online form to determine the macroscale response (a concurrent multi-scale approach). In order to overcome the computational challenges related to the above multi-scale closure, this work introduces a surrogate approach for replacing the direct numerical simulation with an artificial neural network. This methodology allows for solving finite strain (multi-scale) porohyperelastic problems accurately using direct automated differentiation through the strain energy. Optimal and reliable training data sets are produced from direct numerical simulations of the fully-resolved problem by including a simple real-time output density check for adaptive sampling step refinement. The data-driven approach is complemented by a sensitivity analysis of the RVE response. The significance of the presented approach for finite strain poro-elasticity/poro-hyperelasticity is shown in the numerical benchmark of a multi-scale confined consolidation problem. Finally, to show the robustness of the method, the system response is dimensionalised using characteristic values of soil and brain mechanics scenarios.
Real-time six-dimensional spatiotemporal tracking of single anisotropic nanoparticles in live cells by integrated multifunctional light-sheet nanoscopy
Authors: Cao Yingying , Lee Seungah , Kim Kyungsoo , Kwak Jong-Young , Kang Seong Ho 
Published: January 2023

Abstract
An integrated multifunctional light-sheet nanoscopy (iMLSN) combined with differential interference contrast, total internal reflection, epifluorescence, a super-resolution radial fluctuation-stream module, and a wavelength-dependent light sheet was developed to simultaneously realize the six-dimensional (6D) vector-valued (three coordinates + rotational dynamics (azimuth and elevation angles) + transport speed) tracking of anisotropic nanoparticles in single living cells. The wavelength-dependent asymmetric scattering of light by gold nanorods was used to trigger signals depending on the polarizer angle, and real-time photo-switching was achieved by turning the polarizer, obtaining a series of super-resolution images, and tracking using different polarization directions and two channels. This technique was employed to directly observe native gold nanorods (AuNRs; 5 nm diameter × 15 nm length) and surface-functionalized AuNRs during their endocytosis and transport at the upper and attaching side membrane regions of single living cells, revealing that the AuNRs bound to the membrane receptors. The nanorods were subsequently internalized and transported away from the original entry spots. Detailed dynamic information regarding the rotation properties and endocytosis speed during the transmembrane process was also acquired for each region. The developed technique can be considered useful for the real-time monitoring of intracellular transport at various regions in single living cells, as well as for 6D vector-valued non-fluorescence super-resolution imaging and tracking.
Graphical Abstract
Ultra-fast meta-parameter optimization for time series similarity measures with application to nearest neighbour classification
Authors: Tan Chang Wei , Herrmann Matthieu , Webb Geoffrey I. 
Published: January 2023

AbstractNearest neighbour similarity measures are widely used in many time series data analysis applications. They compute a measure of similarity between two time series. Most applications require tuning of these measures’ meta-parameters in order to achieve good performance. However, most measures have at least $$O(L^2)$$

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complexity, making them computationally expensive and the process of learning their meta-parameters burdensome, requiring days even for datasets containing only a few thousand series. In this paper, we propose UltraFastMPSearch, a family of algorithms to learn the meta-parameters for different types of time series distance measures. These algorithms are significantly faster than the prior state of the art. Our algorithms build upon the state of the art, exploiting the properties of a new efficient exact algorithm which supports early abandoning and pruning for most time series distance measures. We show on 128 datasets from the UCR archive that our new family of algorithms are up to an order of magnitude faster than the previous state of the art.
A fast computational model for circulatory dynamics: effects of left ventricle–aorta coupling
Authors: Moulton Michael J. , Secomb Timothy W. 
Published: January 2023

AbstractThe course of diseases such as hypertension, systolic heart failure and heart failure with a preserved ejection fraction is affected by interactions between the left ventricle (LV) and the vasculature. To study these interactions, a computationally efficient, biophysically based mathematical model for the circulatory system is presented. In a four-chamber model of the heart, the LV is represented by a previously described low-order, wall volume-preserving model that includes torsion and base-to-apex and circumferential wall shortening and lengthening, and the other chambers are represented using spherical geometries. Active and passive myocardial mechanics of all four chambers are included. The cardiac model is coupled with a wave propagation model for the aorta and a closed lumped-parameter circulation model. Parameters for the normal heart and aorta are determined by fitting to experimental data. Changes in the timing and magnitude of pulse wave reflections by the aorta are demonstrated with changes in compliance and taper of the aorta as seen in aging (decreased compliance, increased diameter and length), and resulting effects on LV pressure–volume loops and LV fiber stress and sarcomere shortening are predicted. Effects of aging of the aorta combined with reduced LV contractile force (failing heart) are examined. In the failing heart, changes in aortic properties with aging affect stroke volume and sarcomere shortening without appreciable augmentation of aortic pressure, and the reflected pressure wave contributes an increased proportion of aortic pressure.
Guidelines to derive an $$e^{3}value$$ business model from a BPMN process model: an experiment on real-world scenarios
Authors: Torres Isaac da Silva , Fantinato Marcelo , Branco Gabriela Musse , Gordijn Jaap 
Published: January 2023

AbstractProcess models, e.g., BPMN models, may represent how companies in an ecosystem interact with each other. However, the business model of the same ecosystem, e.g., expressed by an $$e^{3}value$$

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model, is often left implicit. This hinders the proper analysis of the ecosystem at the business level, and more specifically financial assessment, for which process models are less appropriate. Therefore, the question is if we can somehow derive $$e^{3}value$$

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models from BPMN models. This would not only allow for proper business model analysis but would also facilitate business model mining, similar to the success of process mining. However, although an $$e^{3}value$$

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model and BPMN model represent the same ecosystem, their perspectives differ significantly. Therefore an automated derivation of an $$e^{3}value$$

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model from a BPMN seems not to be feasible, but we can assist the $$e^{3}value$$

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model designer with practical guidelines. We explore and test our guidelines in two real-world settings, we then analyze and evaluate its application to better understand their limitations and how to improve them.
Seasonality in commodity prices: new approaches for pricing plain vanilla options
Authors: Frau Carme , Fanelli Viviana 
Published: January 2023

AbstractWe present a new term-structure model for commodity futures prices based on Trolle and Schwartz (2009), which we extend by incorporating seasonal stochastic volatility represented with two different sinusoidal expressions. We obtain a quasi-analytical representation of the characteristic function of the futures log-prices and closed-form expressions for standard European options’ prices using the fast Fourier transform algorithm. We price plain vanilla options on the Henry Hub natural gas futures contracts, using our model and extant models. We obtain higher accuracy levels with our model than with the extant models.
360° videos in education – A systematic literature review on application areas and future potentials
Authors: Rosendahl Philipp , Wagner Ingo 
Published: January 2023

AbstractAs a teaching and learning medium, 360° videos offer new teaching-learning experiences. Through the possibility of immersion, individual 360° panoramic images, multi-perspective viewing options and interaction possibilities, they extend the advantages of conventional video technology. To understand the potential of using 360° video technology for educational processes, a systematic literature review analyzed previous scientific articles (N = 44) about the interdisciplinary use of 360° videos according to PRISMA guidelines. In the systematic literature selection, particular emphasis was placed on the conceptual distinction between virtual reality and 360° videos. By the authors, 360° videos are understood as a specific video format that has characteristics of virtual reality but is to be distinguished from virtual reality by the necessary real recording situation without programmed virtual environments. The results show a use of 360° videos mainly for three teaching-learning purposes: presentation and observation of teaching–learning content, immersive and interactive theory–practice mediation, and external and self-reflection. Combined with the added value of conventional video technology and other immersive technology such as virtual reality, five added value categories for its use as a teaching–learning medium were identified: To increase learning motivation and interest, to learn in authentic and realistic learning scenarios, for immersive and interactive learning experiences, for multi-perspective observation opportunities and for individual learning. These consisted primarily of positive motivational effects for authentic or immersive learning experiences.
Effect of Emotional Valence on Emotion Recognition in Adolescents with Autism Spectrum Disorder
Authors: Palmer Sarah J. , Fanucci-Kiss Adrian , Kipervassar Ella , Jalnapurkar Isha , Hodge Steven M. , Frazier Jean A. , Cochran David 
Published: January 2023

AbstractThis study investigated how emotional valence of a perceived emotional state impacted performance on the Reading the Mind in the Eyes task (RMET) in adolescents with autism spectrum disorder (ASD) and typically developing (TD) controls. Valence of items on the RMET, Adult (RMET-A) and Child (RMET-C) versions, was first classified in a survey of 113 medical students. Adolescents with ASD (N = 33) and TD adolescents (N = 30) were administered both RMET versions. Individuals with ASD made more errors than TD controls on positive and negative, but not neutral, valence items. The difference in performance was accentuated on the RMET-A compared to the RMET-C. Both emotional valence and complexity of language contribute to RMET performance in individuals with ASD.
How Should Your Assistive Robot Look Like? A Scoping Review on Embodiment for Assistive Robots
Authors: Ringwald Marina , Theben Paulina , Gerlinger Ken , Hedrich Annika , Klein Barbara 
Published: January 2023

AbstractAssistive robots have the potential to support older people and people with disabilities in various tasks so that they can live more independently. One of the research challenges is the appearance of assistive robots so that they are accepted by prospective users and encourage interaction. This scoping review aims to identify studies that report preferences in order to derive indicators for the embodiment of a robot with assistance functions. A systematic literature research was conducted in the three electronic databases IEEE Xplore, ACM Digital Library and PubMed Central (PMC). Included papers date back not further than 2015 and report empirical studies about the preferred appearance of service robots. The search resulted in 1,760 papers. 29 were included, of which 20 papers reported quantitative studies, three described a qualitative and six a mixed-methods design. Out of these papers, seven categories of robot appearances and design components could be extracted. Most papers focused on humanoid or humanlike robots and components like facial features or gender aspects. Others relied on design that reflects the robot’s function or simulated emotions through light applications. Only eight studies focused on older adults, and no study on people with disabilities. The appearance of a humanoid robot is often described as favorable, but the definition of ‘humanoid’ varies widely within all analyzed studies and an explizit allocation of features is not possible. For their practical work, robot designers can extract various aspects from the papers; however, for generalization more research is necessary.
Generalized conformable fractional Newton-type method for solving nonlinear systems
Authors: Candelario Giro , Cordero Alicia , Torregrosa Juan R. , Vassileva María P. 
Published: January 2023

AbstractIn a recent paper, a conformable fractional Newton-type method was proposed for solving nonlinear equations. This method involves a lower computational cost compared to other fractional iterative methods. Indeed, the theoretical order of convergence is held in practice, and it presents a better numerical behaviour than fractional Newton-type methods formerly proposed, even compared to classical Newton-Raphson method. In this work, we design a generalization of this method for solving nonlinear systems by using a new conformable fractional Jacobian matrix, and a suitable conformable Taylor power series; and it is compared with classical Newton’s scheme. The necessary concepts and results are stated in order to design this method. Convergence analysis is made and a quadratic order of convergence is obtained, as in classical Newton’s method. Numerical tests are made, and the Approximated Computational Order of Convergence (ACOC) supports the theory. Also, the proposed scheme shows good stability properties observed by means of convergence planes.
Cash transfers and female labor supply—how public policy matters? A bibliometric analysis of research patterns
Authors: Drejerska Nina , Chrzanowska Mariola , Wysoczański Jakub 
Published: January 2023

AbstractThis paper employs bibliometric analysis to determine the scientific landscape of the influence of social transfers on female labor supply. We determine the scale and scope of the subject, as well as interconnections between various research fields, utilizing the Scopus database. The most significant areas of the research landscape are (i) labor, (ii) socioeconomics, and (iii) maternity, with multiple and complex connections between and among them. However, these areas are specific within given countries, and there is little collaboration between countries and researchers. This implies that the current state of research may not be sufficient to explain how, in fact, cash transfers affect human behavior in case of women’s labor. It is important for policymakers, particularly those governing non-homogeneous structures, such as the European Union, to avoid generalizing conclusions on the success or failure of a given policy in a given country. Research results demonstrate that the large scientific landscape investigated is divided into clusters which encompass ideas that are strongly interconnected outside their clusters. Nevertheless, the degree of collaboration between authors from different countries is low. A map of keywords reveals that certain aspects of the landscape may be associated only with a specific country or group of countries.
Patient-reported outcome (PRO) measurements in chronic and malignant diseases: ten years’ experience with PRO-algorithm-based patient-clinician interaction (telePRO) in AmbuFlex
Authors: Hjollund Niels Henrik I. , Larsen Louise Pape , de Thurah Annette Ladefoged , Grove Birgith Engelst , Skuladottir Halla , Linnet Hanne , Friis Rasmus Blechingberg , Johnsen Søren Paaske , May Ole , Jensen Annesofie Lunde , Hansen Troels Krarup , Taarnhøj Gry Assam , Tolstrup Lærke Kjær , Pappot Helle , Ivarsen Per , Dørflinger Liv , Jessen Anne , Sørensen Nanna Toxvig , Schougaard Liv Marit Valen , team The AmbuFlex 
Published: January 2023

Abstract
Background
Patient-reported Outcome (PRO) measures may be used as the basis for out-patient follow-up instead of fixed appointments. The patients attend follow-up from home by filling in questionnaires developed for that specific aim and patient group (telePRO). The questionnaires are handled in real time by a specific algorithm, which assigns an outcome color reflecting clinical need. The specific questionnaires and algorithms (named solutions) are constructed in a consensus process with clinicians. We aimed to describe AmbuFlex’ telePRO solutions and the algorithm outcomes and variation between patient groups, and to discuss possible applications and challenges.

Methods
TelePRO solutions with more than 100 processed questionnaires were included in the analysis. Data were retrieved together with data from national registers. Characteristics of patients, questionnaires and outcomes were tabulated for each solution. Graphs were constructed depicting the overall and within-patient distribution of algorithm outcomes for each solution.

Results
From 2011 to 2021, 29 specific telePRO solutions were implemented within 24 different ICD-10 groups. A total of 42,015 patients were referred and answered 171,268 questionnaires. An existing applicable instrument with cut-off values was available for four solutions, whereas items were selected or developed ad hoc for the other solutions. Mean age ranged from 10.7 (Pain in children) to 73.3 years (chronic kidney disease). Mortality among referred patients varied between 0 (obesity, asthma, endometriosis and pain in children) and 528 per 1000 patient years (Lung cancer). There was substantial variation in algorithm outcome across patient groups while different solutions within the same patient group varied little.

Discussion
TelePRO can be applied in diseases where PRO can reflect clinical status and needs. Questionnaires and algorithms should be adapted for the specific patient groups and clinical aims. When PRO is used as replacement for clinical contact, special carefulness should be observed with respect to patient safety.
Gibbard on Quasi-realism and Global Expressivism
Authors: Price Huw 
Published: January 2023

AbstractIn recent work Allan Gibbard claims to be both a local quasi-realist, in Blackburn’s sense, and a global expressivist. His local quasi-realism rests on an argument that for naturalistic discourse but not ethical discourse, the semantic relation of denotation and the causal relation of tracking can and should be identified; that denoting simply is tracking, for naturalistic vocabulary. I argue that Gibbard’s case for this conclusion is unconvincing, and poorly motivated by his own expressivist standards. I also argue that even if it were successful, it is doubtful whether the resulting position would count as global expressivism, as Gibbard and I both use that term.