bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Anisotropic hp-mesh Adaptation Method for Time-Dependent Problems Based on Interpolation Error Control
Authors: Dolejší Vít , May Georg 
Published: March 2023

AbstractWe propose an efficient mesh adaptive method for the numerical solution of time-dependent partial differential equations considered in the fixed space-time cylinder$$\varOmega \times (0,T)$$Ω×(0,T). We employ the space-time discontinuous Galerkin method which enables us to use different meshes at different time levels in a natural way. The mesh adaptive algorithm is based on control of the interpolation error in the$$L^\infty (0,T; L^q(\varOmega ))$$L∞(0,T;Lq(Ω))-norm. The goal is to construct a sequence of conforming triangular meshes in such a way that the interpolation error bound is under a given tolerance and the number of degrees of freedom is minimal. The resulting grids consist of anisotropic mesh elements with varying polynomial approximation degrees with respect to space. We present a theoretical framework of this approach as well as several numerical examples demonstrating the accuracy, efficiency, and applicability of the method.
Generalized data-driven optimal path planning framework for uniform coverage missions using crop spraying UAVs
Authors: Nanavati Rohit V. , Meng Yanhua , Coombes Matthew , Liu Cunjia 
Published: March 2023

AbstractUnmanned aerial vehicle (UAV) based crop spraying has become a popular alternative in the field of precision agriculture. One of the key goals of UAV based spraying is achieving spray coverage that is as uniform as possible to ensure maximum spray efficacy. Most of the existing studies in the literature focus on analysing the effects of spraying parameters on the uniformity of coverage distribution using experimental studies. However, in this work, we propose a novel generalized data-driven optimal path-planning framework aimed at finding the optimal operational flight parameters (flight speed and pass widths) for a lawnmower coverage path plan to meet the specified spray coverage rate while ensuring the uniformity. The framework takes a spray distribution model as an input and computes the optimal operational parameters for the coverage path plan to minimize coverage non-uniformity without making any assumptions on the UAV type. Furthermore, we also propose a neural network structure using Gaussian kernel neurons to design the spraying model using experimental data. The neural network structure makes no assumption about the type of UAV, onboard nozzle placement, or the flight parameters. The accuracy of the modelling solution only depends on the quality of the training data. In other words, higher diversity of the training data in terms of the flight and spraying parameters would result in a modelling solution that is more representative of the spraying distribution and consequently improve the quality of the operational parameters obtained from the proposed optimization framework. In this work, we present a case study to demonstrate the use case and test the performance of the proposed framework via simulation and experiments using the DJI AGRAS-T10 drone. The results showed that the optimal pass-width solutions for low forward speeds were similar to optimizing the positioning of the nozzles on a boom sprayer to achieve uniform coverage. Whereas, at high speeds, the pass-width was comparatively higher as the spread of the effective coverage over each pass increased. A discussion contextualized in the case study is provided to highlight the salient features and limitations of the proposed framework.
Exploring what matters to residents of Australian aged care facilities with the Happy Life Index: comparison of qualitative responses between pre- and mid-Covid-19 pandemic time points
Authors: Murray Carolyn M. , Milanese Steve , Guerin Michelle , Bilton Rebecca , Baldock Katherine L. , Parfitt Gaynor 
Published: March 2023

Abstract
Purpose
This study analysed data from a national survey of people living in Australian Residential Aged Care Facilities (RACFs) reporting on what is the best thing about where they live and suggestions for improvement. Data from prior to the Covid-19 pandemic were compared with data during the Covid-19 pandemic.

Methods
Qualitative data from the Happy Life Index Survey were analysed using summative content analysis to code the responses in the data sets and then organise them into categories. Once categorised, the pre-Covid-19 and mid-Covid-19 data sets were compared using descriptive statistics.

Results
A total of 4745 residents, from over 100 RACFs, provided 8512 open-text responses to at least one of the two survey questions. Pre-Covid-19 responses were compared with mid-Covid-19 responses and those trending towards relevance (5–10% change) were identified. There were both positive and negative relevant percent changes for staff number, food (general comments), and friendliness. A trending positive percentage change was observed for staff quality and the internal environment. There was a trending negative relevant percentage change for lifestyle activities, staff generally, level of contentedness, the general environment, general choice, and general views about the service.

Conclusion
People living in RACFs notice the changes in staffing levels and visitors during restrictions imposed during infectious outbreaks. During these times, they appreciate the quality of the staff attending to their needs and the quality of their food. Further exploration is needed of the value of lifestyle activities and strategies to promote feelings of contentedness and general wellbeing during times of restriction.
Polyfunctional argument markers in Ket
Authors: Carter Matthew 
Published: March 2023

AbstractPolyfunctionalityrefers to cases in which the same formal material is systematically reused with different functions. It represents a type ofcomplexity of exponence, wherein there is a non-one-to-one mapping between function and form. Much recent work in morphology has emphasized the role ofimplicative structurein resolving the communicative challenges associated with complex form-function mappings. However, previous work has focused almost entirely on complexity of exponence as a challenge for the speaker predicting novel forms (knowing how to encode information), and very little on the challenge for the listener in decoding novel forms. It also has focused almost exclusively on inflectional paradigms, and has not explored how other types of implicative structure might be important in languages with diverse morphological systems. This paper investigates the role of syntagmatic (i.e. word-internal) implicative structure in Ket (Yeniseian, Siberia), a polysynthetic language with numerous polyfunctional markers. It is shown that such markers are organized into networks of implicative relations with one another, wherein less polyfunctional markers along a scale of polyfunctionality disambiguate the function of more polyfunctional markers. This allows uncertainty with regard to their function in any particular instance to remain low. The Ket data make wider typological predictions for the relationship between complexity of exponence and implicative structure.
Almost symmetric good semigroups
Authors: Casabella L. , D’Anna M. 
Published: March 2023

AbstractThe class of good semigroups is a class of subsemigroups of $${\mathbb {N}}^h$$

N

h

, that includes the value semigroups of rings associated to curve singularities and their blowups, and allows to study combinatorically the properties of these rings. In this paper we give a characterization of almost symmetric good subsemigroups of $${\mathbb {N}}^h$$

N

h

, extending known results in numerical semigroup theory and in one-dimensional ring theory, and we apply these results to obtain new results on almost Gorenstein one-dimensional analytically unramified rings.
The Right to Protest During a Pandemic: Using Public Health Ethics to Bridge the Divide Between Public Health Goals and Human Rights
Authors: Wood Stephanie L. 
Published: March 2023

AbstractPublic protest continued to represent a prominent form of social activism in democratic societies during the COVID-19 pandemic. In Australia, a lack of specific legislation articulating protest rights has meant that, in the context of pandemic restrictions, such events have been treated as illegal mass gatherings. Numerous large protests in major cities have, indeed, stirred significant public debate regarding rights of assembly during COVID-19 outbreaks. The ethics of infringing on protest rights continues to be controversial, with opinion divided as to whether public health goals or human rights should take precedence. This paper applies public health ethical theory to an in-depth analysis of arguments on both sides of the debate. Using the Nuffield Council on Bioethics framework as a backdrop, proportionality and necessity of restrictions are understood as key concepts that are common to both public health and human rights perspectives. The analysis presented here finds a middle-ground between the prevailing arguments on opposing sides and is further able to rationalize the use of protest itself as an important element of a mature public health ethics response to restrictive policy. Thus, this paper aims to influence public health policy and legislation regarding protest rights during public health emergencies.
Digital-based production: introduction and fields of application
Authors: Metternich J. , Kreß A. 
Published: March 2023

Abstract
This special issue on “digital-based production” gives an overview about the current research on the integration of digital technologies into production processes and their fields of application. It covers topics from Industry 4.0, artificial intelligence and data analytics to the Industrial Internet of Things and Cyber-Physical Production Systems. This issue offers valuable insights for those interested in improving production efficiency, quality, and sustainability through digital technologies. In this foreword, we describe promising application fields of digital-based production and classify the submitted articles accordingly.
Digitalization, entrepreneurship and competitiveness: an analysis from 19 European countries
Authors: Galindo-Martín Miguel-Ángel , Castaño-Martínez María-Soledad , Méndez-Picazo María-Teresa 
Published: March 2023

AbstractIn light of the economic situation resulting from the COVID-19 pandemic, economists have claimed that an improvement in competitiveness can enhance economic growth. A greater degree of competitiveness allows the relevant actors to engage in entrepreneurial activity in new markets and to create market niches that promote job creation. Among the factors that can stimulate competitiveness, entrepreneurship and digitalization play relevant roles. Digital technologies have generated new business opportunities for entrepreneurs; likewise, digital entrepreneurship allows different entrepreneurs to connect via a platform, thus facilitating access to global markets with growth potential. The fundamental objective of this paper is to study the relationships among digitalization, entrepreneurship and competitiveness in light of the factors that influence the digitalization process. An empirical analysis of 19 European countries is conducted, and fuzzy set qualitative comparative analysis is used to obtain the combinations of economic and social variables that affect competitiveness and entrepreneurship. The results of the empirical analysis show that to stimulate entrepreneurial activity, a country must exhibit an environment that is favourable to digitalization as well as an investment in talent that allows the relevant actors to take advantage of the benefits of digital technologies.
An Unexpected Cyclic Symmetry of $$I{\mathfrak u}_n$$
Authors: Bar-Natan Dror , Veen Roland van der 
Published: March 2023

AbstractWe find and discuss an unexpected (to us) order n cyclic group of automorphisms of the Lie algebra $$I{\mathfrak u}_n{:}{=}{\mathfrak u}_n < imes {\mathfrak u}_n^*$$

I

u
n

:
=

u
n

⋉

u
n
∗

, where $${\mathfrak u}_n$$

u
n

is the Lie algebra of upper triangular $$n\times n$$

n
×
n

matrices. Our results also extend to $$\mathfrak {gl}_{n+}^\epsilon $$

gl

n
+

ϵ

, a “solvable approximation” of $$\mathfrak {gl}_n$$

gl
n

, as defined within.
Effectiveness of H5P in improving student learning outcomes in an online tertiary education setting
Authors: Jacob Tarosh , Centofanti Stephanie 
Published: March 2023

AbstractInnovative, pedagogically informed instructional design is instrumental in increasing student engagement and improving learning outcomes in online learning environments. Interactive learning resources provide students with the opportunity to engage with content in a more personalised manner. H5P (HTML 5 Package) is a collaborative platform that allows developers to create interactive content and has been regularly used in education settings. Some evidence suggests using interactive H5P resources in online education courses could lead to greater student engagement. However, to date, there has been little investigation into whether H5P resources can improve student learning outcomes. The current study aimed to assess whether using interactive H5P resources improved assessed learning outcomes in an online undergraduate psychology course. A randomized cross-over design was utilized to test whether students exposed to H5P interactive videos had improved assessment results when compared to a control group. This study found no meaningful differences in assessment scores between students exposed to H5P versus those that were not. There was low overall engagement with the interactive content. However, students who did engage with the resources reported a positive experience and indicated a preference for more interactive elements in future courses. Future research should extend on the instructional design obstacles identified in this study, for example, by examining whether improved accessibility and education on the benefits of interactive resources would increase engagement and grades.
MTHPP monoacetic ester: unexpected formation, zinc metalation, thermal and photophysical properties
Authors: Sweed Ayman M. K. , Shaker Yasser M. , Ragab Sherif S. 
Published: March 2023

AbstractIn the current investigation we report an unexpected methyl esterification occurred during the coupling reaction of mTHPP monoacetic acid 2 with 3-amino-1,2,4-triazole in the presence of HBTU/DIPEA. The mechanism of this unexpected methyl esterification was studied, and the structure of the formed methyl ester 5 was confirmed by the means of 1H, 13C NMR in addition to (MALDI-TOF and ESI-HRMS) spectrometry. The formation of 5 during the coupling reaction was also chemically supported by an alternative synthetic method involving a direct monosubstitution reaction of mTHPP 1 with methyl bromoacetate. We also investigated the metalation of 5 with zinc and studied the thermal properties along with differential scanning calorimetry (DSC) of the zinc porphyrin 6. The photophysical properties of porphyrin methyl ester 5 and its zinc complex 6 were also investigated.
Graphical Abstract
Dual-mode colorimetric/fluorescent chemosensor for Cu2+/Zn2+ and fingerprint imaging based on rhodamine ethylenediamine bis(triazolyl silsesquioxane)
Authors: Dare Enock O. , Akinhanmi Temilade F. , Aremu J. A. , Adetunji Olayide R. , Bamgbose Janet T. , Vendrell-Criado Victoria , Jiménez M. Consuelo , Pérez-Ruiz Raúl , Bonardd Sebastian , Díaz Díaz David 
Published: March 2023

AbstractA novel dual functional and visual rhodamine ethylenediamine bis(triazolyl silsesquioxane) (RBS) chemosensor was successfully synthesized using “click” chemistry. The results have unambiguously demonstrated that RBS can act in fluorescent and colorimetric sensing of Cu2+ and Zn2+ by their respective coordination with triazole structures and, more importantly, it has also been found that triazole-amide of RBS could turn on chelation-enhanced fluorescence (CHEF) of Cu2+. Remarkably, the addition of Cu2+ triggered an enhanced fluorescent emission by 63.3-fold (ϕF = 0.41), while Zn2+ enhanced it 48.3-fold (ϕF = 0.29) relative to the original RBS (ϕF = 0.006) in acetonitrile (MeCN) solvent. The fluorescent limit of detection for Cu2+ and Zn2+ is similar and fall within 3.0 nM, while under colorimetric sensing the responses were 2.14 × 10–8 and 4.0 × 10–8 mol L−1, respectively. Moreover, the effective sensing profile of RBS and extended applications of RBS–Cu2+ and RBS–Zn2+ for fingerprinting detection and imaging were observed with adequate sensitivity, stability and legibility under the dual visual responses.
Graphical abstract
Divine foreknowledge and human freedom: exploring a gap-theoretic account
Authors: DeVito Michael 
Published: March 2023

AbstractThe recent work of logician Jc Beall marks a paradigm shift within the fields of analytic theology and philosophy of religion. Thanks to Beall’s work, the long held (and generally unquestioned) assumption that theology is governed by (or closed under) the classical account of logic, is no longer free for the assumption. More importantly, by dropping this unquestioned commitment to the classical account, Beall’s work has uncovered natural and well-motivated solutions to some of monotheistic theologies’ most difficult and longstanding problems. That said, much of Beall’s work (and the work of others who have followed his lead) has been paraconsistent, utilizing glut-theoretic (contradictory) models to solve theologies problems. In this essay, my plan is to go paracomplete, with the aim of exploring a yet to be explored solution to the infamous foreknowledge and freedom problem. My solution finds its roots in the recent work Jc Beall and Aaron Cotnoir (‘God of the Gaps’, Analysis, 2017). Specifically, in this essay I will explore a gap-theoretic solution to the foreknowledge and freedom problem; one in which it is neither true nor false that God has foreknowledge. By utilizing Beall’s and Cotnoir’s model — which sees limit claims on God’s omni-properties as either just false or gappy — a natural and well-motivated solution to the foreknowledge and freedom problem emerges. Moreover, by utilizing the Beall-Cotnoir gap-theoretic model, not only is the foreknowledge and freedom problem circumvented, but an interesting and novel account of divine omniscience emerges.
Exploration–Exploitation Duality with Both Tradeoff and Synergy: The Curvilinear Interaction Effects of Learning Modes on Innovation Types
Authors: Li Peter Ping , Liu Heng , Li Yuan , Wang Haifeng 
Published: March 2023

ABSTRACTHow can a firm apply the appropriate interaction between exploration and exploitation with the goal of either radical or incremental innovation? In this study, we seek to answer this puzzling question by reframing exploitation and exploration as adualityof learning (i.e., two modes that are partial complementary forsynergyas well as partial conflicting fortradeoff). Specifically, rather than assuming either apositiveornegativeinteraction between exploration and exploitation as prior literature has done, our study highlights a novel pattern ofinverted U-shaped interactionbetween exploration and exploitation for both radical and incremental innovations. With a Chinese sample of 508 firms, our empirical evidence supports our prediction of two patterns of inverted U-shaped interaction of exploration and exploitation. Such unique findings showcase the unique value of reframing paradox into duality from the meta-perspective of yin-yang balancing to shed new light on organizational ambidexterity and innovation management.
The cluster of differentiation 36 (CD36) rs1761667 polymorphism interacts with dietary patterns to affect cardiometabolic risk factors and metabolic syndrome risk in apparently healthy individuals
Authors: Yazdanpanah Zeinab , Salehi-Abargouei Amin , Mollahosseini Mehdi , Sheikhha Mohammad Hasan , Mirzaei Masoud , Mozaffari-Khosravi Hassan 
Published: March 2023

AbstractSeveral studies have examined the association between CD36 rs1761667 polymorphism with cardiometabolic risk factors and metabolic syndrome (MetS). This study aimed to investigate the interactions between rs1761667 polymorphism and dietary patterns on the cardiometabolic risk factors and the risk of MetS in apparently healthy individuals aged 20–70 years. Food consumption data were acquired using a validated semi-quantitative FFQ. Dietary patterns were identified by factor analysis. CD36 rs1761667 was genotyped by PCR-restriction fragment length polymorphism. The gene–diet interaction was detected by the general linear model or logistic regression. Significant or marginally significant interactions were observed between healthy dietary pattern (HDP) and CD36 rs1761667 on weight (P = 0·006), BMI (P = 0·009), waist circumference (P = 0·005), hip circumference (P = 0·06), body muscle percentage (P = 0·02), body fat percentage (P = 0·09), TAG-glucose index (P = 0·057), atherogenic index of plasma (P = 0·07), the risk of MetS (P = 0·02), risk of abdominal obesity (P = 0·02) and elevated blood pressure (P = 0·07). Besides, a gene–diet interaction was detected between the traditional dietary pattern and rs1761667 variants on odds of hypertriglyceridaemia (P = 0·02). The adherence to HDP was associated with a lower weight, BMI and higher odds of HDL-cholesterol only in A-allele carriers. In conclusion, adherence to HDP (a diet with high fibre, fish and dairy products) can be more effective on some cardiometabolic risk factors and risk of MetS components in the A-allele carrier than the GG genotype of rs1761667 polymorphism. However, future studies are required to shed light on this issue.
Towards democratic intelligence oversight: Limits, practices, struggles
Authors: Kniep Ronja , Ewert Lina , Reyes Bernardino Léon , Tréguer Félix , Cluskey Emma Mc , Aradau Claudia 
Published: March 2023

AbstractDespite its common usage, the meaning of ‘democratic’ in democratic intelligence oversight has rarely been spelled out. In this article, we situate questions regarding intelligence oversight within broader debates about the meanings and practices of democracy. We argue that the literature on intelligence oversight has tended to implicitly or explicitly follow liberal and technocratic ideas of democracy, which have limited the understanding of oversight both in academia and in practice. Thus, oversight is mostly understood as an expert, institutional and partially exclusive arrangement that is supposed to strike a balance between individual freedom and collective security, with the goal of establishing the legitimacy of and trust in intelligence work in a national setting. ‘Healthy’ or ‘efficient’ democratic oversight then becomes a matter of technical expertise, non-partisanship, and the ability to guard secrets. By analysing three moments of struggle around what counts as intelligence oversight across Germany, the UK, and the US, this article elucidates their democratic stakes. Through a practice-based approach, we argue that oversight takes much more agonistic, contentious, transnational, and public forms. However, these democratic practices reconfiguring oversight remain contested or contained by dominant views on what constitutes legitimate and effective intelligence oversight.