bluuebunny/crossref_metadata_2025_split huggingface dataset:
A probabilistic framework for the estimation of resilience of process plants under Na-Tech seismic events
Authors: Kalemi Bledar , Caputo Antonio C. , Corritore Daniele , Paolacci Fabrizio 
Published: April 2023

AbstractIndustrial plants are complex structures, highly vulnerable with respect to seismic loading. Past seismic events have demonstrated the devastating impact and huge economic losses that an industrial plant can experience not only due to physical damage of equipment, but also due to interruption of the production processes. In order to quantify these economic losses, plant seismic resilience evaluation is required. The current paper presents a probabilistic process flow-based framework for assessment of industrial plant resilience and economic losses in case of seismic events. Uncertainties are considered in the ability of plant equipment to withstand the perturbation, and also in the recovery process including equipment recovery durations and recovery costs. Monte Carlo Simulation is used to account for the uncertainties of the model. A black carbon plant is used as a case study to show the applicability of the model. Results and capability of the proposed model shows that it can be a useful tool for decision makers, plant owners, insurance companies, emergency managers and plant designers in their decision making process.
Some Further Aspects of Stable Boundary-Layer Simulation in a Stratified-Flow Wind Tunnel
Authors: Hancock Philip E. , Hayden Paul 
Published: April 2023

AbstractIt is demonstrated that the vertical profile of gradient Richardson number, Ri, can be shaped by control of the working-section inlet temperature profile. In previous work (Hancock and Hayden in Boundary-Layer Meteorol 168:20–57, 2018; 175:93–112, 2020; 180:5–26, 2021) the inlet temperature profile had been specified but without control of the profile of $$Ri$$

Ri

in the developed-flow region of the working section. Control of the inlet temperature profile is provided by 15 inlet heaters (spread uniformly across the height of the working section), allowing control of the temperature gradient over the bulk of the boundary layer, and the overall temperature level above that of the surface. The bulk Richardson number for the 11 cases covers the range 0.01–0.17 (there is no overlying inversion). In the upper $$\approx$$
≈
2/3 of the boundary layer the Reynolds stresses and turbulent heat flux are controlled by the gradient in mean temperature, while in the lower $$\approx$$
≈
1/3 they are controlled both by this gradient and by the level above the surface temperature. In three examples, $$Ri$$

Ri

is approximately constant at 0.07, 0.10 and 0.13 across the bulk of the layer. The previous observation of horizontally homogenous behaviour in the temperature profiles in the top $$\approx$$
≈
2/3 of the boundary layer but not in the lower $$\approx$$
≈
1/3 is repeated here, except when, tentatively, Ri does not exceed 0.05 over the bulk of the boundary layer. Favourable validation comparisons are made against two sets of local scaling systems and field data over the full depth of the boundary layer, over the range 0.006 $$\le Ri \le$$

≤
R
i
≤

0.3, or, in terms of height and local Obukhov length, 0.005 $$\le z/L \le$$

≤
z
/
L
≤

1.
Confirming Mathematical Conjectures by Analogy
Authors: Nappo Francesco , Cangiotti Nicolò , Sisti Caterina 
Published: April 2023

AbstractAnalogy has received attention as a form of inductive reasoning in the empirical sciences. Its role in mathematics has, instead, received less consideration. This paper provides a novel account of how an analogy with a more familiar mathematical domain can contribute to the confirmation of a mathematical conjecture. By reference to case-studies, we propose a distinction between an incremental and a non-incremental form of confirmation by mathematical analogy. We offer an account of the former within the popular framework of Bayesian confirmation theory. As for the non-incremental notion, we defend its role in rationally informing the prior credences of mathematicians in those circumstances in which no new mathematical evidence is introduced. The resulting framework captures many important aspects of the use of analogical inference in the domain of pure mathematics.
Natralization without associationist reduction: a brief rebuttal to Yoshimi
Authors: Lopes Jesse 
Published: April 2023

AbstractYoshimi has attempted to defuse my argument concerning the identification of network abstraction with empiricist abstraction - thus entailing psychologism - by claiming that the argument does not generalize from the example of simple feed-forward networks. I show that such details of networks are logically irrelevant to the nature of the abstractive process they employ. This is ultimately because deep artificial neural networks (ANNs) and dynamical systems theory applied to the mind (DST) are both associationisms - that is, empiricist theories that derive the principles of thought from the causal history of the organism/system. On this basis, I put forward a new aspect of the old argument by noting that ANNs & DST are the causal bases of the phenomena of passive synthesis, whereas the language of thought hypothesis (LOT) and the symbolic computational theory of mind (CTM) are the causal bases of the phenomena of active synthesis. If the phenomena of active synthesis are not distinct in kind from and are thus reducible to those of passive synthesis, psychologism results. Yoshimi’s program, insofar as it denies this fundamental phenomenological distinction, is revealed to be the true anti-pluralist program, by essentially denying the causal efficacy of the mechanistic foundations of active synthesis by referring phenomenology exclusively to associationism for its causal foundation.
Graphical abstracts are associated with greater Altmetric attention scores, but not citations, in sport science
Authors: Bennett Hunter , Slattery Flynn 
Published: April 2023

AbstractThis paper aimed to determine if papers published with a Graphical abstract (GA) in the sport science field were associated with higher Altmetric attention scores and more citations than papers published without. A multivariate negative binomial mixed effects model was used to determine whether Altmetric attention scores and citation counts were different between articles published with or without a GA longitudinally over five timepoints. Included articles were published between January 2019 and December 2020 from three journals ranked within the top quartile of the category of “Sport Science”. Of 562 articles, 96 were published with a GA. Articles with GA were associated with higher Altmetric attention score than those without (incidence rate ratio 1.89 [95% confidence interval [CI] 1.25–2.85]; p = 0.003; small effect), with no difference in citations (incidence rate ratio 0.97 [95% CI 0.72–1.30]; p = 0.829; trivial effect). This study suggests that publishing with a GA is associated with increased Altmetric attention scores, but not citations, in sport science. This may indicate that GAs improve research dissemination amongst the public, which is important in practical fields.
Associated factors of osteoporosis and vascular calcification in patients awaiting kidney transplantation
Authors: Lv Junhao , Xie Wenqin , Wang Suya , Zhu Yilin , Wang Yaomin , Zhang Ping , Chen Jianghua 
Published: April 2023

Abstract
Introduction
Pretransplant osteoporosis and vascular calcification probably increase the risk of fractures and cardiovascular events after kidney transplantation. In the present study, we investigated the related risk factors of osteoporosis and vascular calcification among end-stage renal disease (ESRD) patients awaiting kidney transplantation.

Methods
A total of 221 ESRD patients (age, 43.4 ± 14.3 years; 125 males and 96 females; median dialysis duration, 61.0 m) awaiting kidney transplantation were enrolled in this cross-sectional study. Serum levels of bone turnover markers and intact parathyroid hormone (iPTH) were analyzed from fasting morning blood samples. Dual-energy X-ray absorptiometry was used to measure bone mineral density (BMD). Vascular calcification was evaluated by lateral abdominal radiography and plain radiographic films of the pelvis and hands.

Results
The osteoporosis prevalence was 27.6% in this cohort of kidney transplantation candidates, and the prevalence of vascular calcification was 51.1%. The related factors for osteoporosis and vascular calcification were similar and included older age, longer dialysis duration, parathyroid hyperplasia, and higher levels of iPTH and bone turnover markers. In the multivariable regression model, age and iPTH were independent risk predictors of both vascular calcification and osteoporosis. There were strong, positive correlations between iPTH and all bone turnover markers. The moderate and severe hyperparathyroidism (iPTH 600–1499 pg/ml and iPTH 1500 pg/ml) were related to reduced serum albumin and hemoglobin levels.

Conclusion
The involvement of high iPTH levels in vascular calcification, osteoporosis, and malnutrition indicated the need of treating hyperparathyroidism early in patients awaiting kidney transplantation. Prospective studies are needed to further examine the utility of bone turnover markers.
Comparison of the upper airway morphology between Dutch and Chinese adults with obstructive sleep apnea
Authors: Shi Xiaoxin , Chen Hui , Lobbezoo Frank , de Lange Jan , van der Stelt Paul , Berkhout Erwin , Guo Jing , Ge Shaohua , Li Guoju , Li Yanzhong , Aarab Ghizlane 
Published: April 2023

Abstract
Purpose
The pathogenesis of obstructive sleep apnea (OSA) is complex and may vary between different races. It has been suggested that the anatomical balance between skeletal tissues and soft tissues around the upper airway is a key pathophysiologic factor of OSA. Therefore, the aim of this study was to compare the anatomical balance of the upper airway between Dutch and Chinese patients with OSA based on cone beam computed tomography (CBCT) images.

Methods
This was a cross-sectional study performed in two centers and included Dutch and Chinese adults with OSA. CBCT scans in the supine position were obtained for both Dutch and Chinese OSA groups. The primary outcome variable was the anatomical balance of the upper airway, defined as the ratio of the tongue area and the maxillomandibular enclosure area.

Results
A total of 28 Dutch adults (mean age ± SD of 46.6 ± 14.1 years, body mass index [BMI] of 26.8 ± 3.5 kg/m2, and apnea-hypopnea index [AHI] of 15.7 ± 7.1 events/h) and 24 Chinese adults (age 41.0 ± 12.4 years, BMI 26.5 ± 3.3 kg/m2, and AHI 16.5 ± 7.8 events/h). There were no significant differences in AHI, age, BMI, and sex between the two groups (P = 0.14–0.76). The Dutch group had a significantly larger tongue area and tongue length compared to the Chinese group (P = 0.01 and P < 0.01). On the other hand, the Chinese group had a smaller maxilla length compared to the Dutch group (P < 0.01). However, the anatomical balance of the upper airway of both groups was not significantly different (P = 0.16).

Conclusion
Within the limitations of this study, no significant difference was found in the anatomical balance of the upper airway between Dutch and Chinese patients with mild to moderate OSA.

Trial registration
The present study was registered at the ClinicalTrials.gov identifier NCT03463785.
Integrating sustainability into production scheduling in hybrid flow-shop environments
Authors: Mokhtari-Moghadam Ali , Pourhejazy Pourya , Gupta Deepak 
Published: April 2023

AbstractGlobal energy consumption is projected to grow by nearly 50% as of 2018, reaching a peak of 910.7 quadrillion BTU in 2050. The industrial sector accounts for the largest share of the energy consumed, making energy awareness on the shop floors imperative for promoting industrial sustainable development. Considering a growing awareness of the importance of sustainability, production planning and control require the incorporation of time-of-use electricity pricing models into scheduling problems for well-informed energy-saving decisions. Besides, modern manufacturing emphasizes the role of human factors in production processes. This study proposes a new approach for optimizing the hybrid flow-shop scheduling problems (HFSP) considering time-of-use electricity pricing, workers’ flexibility, and sequence-dependent setup time (SDST). Novelties of this study are twofold: to extend a new mathematical formulation and to develop an improved multi-objective optimization algorithm. Extensive numerical experiments are conducted to evaluate the performance of the developed solution method, the adjusted multi-objective genetic algorithm (AMOGA), comparing it with the state-of-the-art, i.e., strength Pareto evolutionary algorithm (SPEA2), and Pareto envelop-based selection algorithm (PESA2). It is shown that AMOGA performs better than the benchmarks considering the mean ideal distance, inverted generational distance, diversification, and quality metrics, providing more versatile and better solutions for production and energy efficiency.
Accuracy of automated 3D cephalometric landmarks by deep learning algorithms: systematic review and meta-analysis
Authors: Serafin Marco , Baldini Benedetta , Cabitza Federico , Carrafiello Gianpaolo , Baselli Giuseppe , Del Fabbro Massimo , Sforza Chiarella , Caprioglio Alberto , Tartaglia Gianluca M. 
Published: April 2023

Abstract
Objectives
The aim of the present systematic review and meta-analysis is to assess the accuracy of automated landmarking using deep learning in comparison with manual tracing for cephalometric analysis of 3D medical images.

Methods
PubMed/Medline, IEEE Xplore, Scopus and ArXiv electronic databases were searched. Selection criteria were: ex vivo and in vivo volumetric data images suitable for 3D landmarking (Problem), a minimum of five automated landmarking performed by deep learning method (Intervention), manual landmarking (Comparison), and mean accuracy, in mm, between manual and automated landmarking (Outcome). QUADAS-2 was adapted for quality analysis. Meta-analysis was performed on studies that reported as outcome mean values and standard deviation of the difference (error) between manual and automated landmarking. Linear regression plots were used to analyze correlations between mean accuracy and year of publication.

Results
The initial electronic screening yielded 252 papers published between 2020 and 2022. A total of 15 studies were included for the qualitative synthesis, whereas 11 studies were used for the meta-analysis. Overall random effect model revealed a mean value of 2.44 mm, with a high heterogeneity (I2 = 98.13%, τ2 = 1.018, p-value < 0.001); risk of bias was high due to the presence of issues for several domains per study. Meta-regression indicated a significant relation between mean error and year of publication (p value = 0.012).

Conclusion
Deep learning algorithms showed an excellent accuracy for automated 3D cephalometric landmarking. In the last two years promising algorithms have been developed and improvements in landmarks annotation accuracy have been done.
Die Berücksichtigung von Gesundheit in deutschen (Sport‑)Curricula
Authors: Pöppel Katharina , Webner Greta 
Published: April 2023

ZusammenfassungHintergrundGesundheit stellt in Deutschland kein Schulfach an allgemeinbildenden Schulen dar und dennoch soll schulische Bildung einen Beitrag zur Gesundheitsförderung leisten. Die Auslegung dieser Zielsetzung reicht von einer gesundheitsförderlichen Wirkung durch Bewegung per se bis zum Anspruch eines reflexiven Gesundheitsverständnisses, das sich durch das Konstrukt Health Literacy (HL) beschreiben lässt.Ziel der Arbeit und MethodeZur Prüfung, inwieweit ein reflexives Gesundheitsverständnis in der schulischen Bildung Deutschlands gemäß HL-Ansatz angelegt ist, werden 33 gegenwärtig gültige Kerncurricula allgemeinbildender Schulen in Deutschland inhaltsanalytisch ausgewertet.ErgebnisseVor allem der Biologie- und der Sportunterricht ab dem Primarbereich zielen auf eine Förderung gesundheitsbezogener Kompetenzen ab. Die Analyse ergibt, dass eine sportmotorisch ausgerichtete und somit handlungsorientierte Förderung von HL im Fach Sport dominiert. Darüber hinaus soll der Sportunterricht nur in wenigen Bundesländern gleichermaßen zum Verstehen, Auswerten, Kommunizieren und Entscheiden hinsichtlich dieser Inhalte anregen.SchlussfolgerungEs bleibt unklar, ob gesundheitsbezogene Inhalte im Zentrum des Unterrichts stehen sollen oder der Gesundheitsbezug lediglich als Etikett dient. Dennoch birgt v. a. der Sportunterricht das Potenzial, Heranwachsende frühzeitig und umfassend für gesundheitsbezogene Themen zu sensibilisieren.
Towards a dynamic value network perspective of sustainable business models: the example of RECUP
Authors: Reinecke Pauline C. , Küberling-Jost Jill A. , Wrona Thomas , Zapf Alice K. 
Published: April 2023

AbstractSustainability research has increasingly emphasized the importance of value networks in the design and development of sustainable business models (SBM). This is because SBMs must incorporate economic, environmental and social goals to achieve their desired impacts, hence designing such models requires firms to develop an understanding of value creation from the perspective of all key stakeholders in their networks in order to co-create economic, social and ecological value. To advance our understanding of how value network activities shape SBM development, we conducted a longitudinal case study of RECUP, a born sustainable startup with a circular economy business model that has developed and worked with a broad value network to achieve a major reduction in waste from linear consumption. We identify three sets of value network activities that supported the continuous development of the firm’s value proposition and contributed to mutual value creation among stakeholders from business, politics and society: B2B-partnering, political agenda-setting and mobilizing end-consumers. Our contributions to research on SBM innovation and design include demonstrating how value network activities initially emerge through experimentation and consolidate over time through iterative learning processes. Such learning and adaption through dynamic value network activities is especially important, we argue, when value-creating factors are not sufficiently known in advance by startups and/or their stakeholders.
Formation of tungsten-doped molybdenum selenide electrocatalyst for methanol oxidation reaction
Authors: Ullah Nabi , Guziejewski Dariusz 
Published: April 2023

AbstractReaction medium (1,3-butane-diol) plays a vital role for the final morphology of W-Mo15Se19 electrocatalyst during synthetic strategy based on single-step solvothermal method. Smoothness of the electrocatalyst may govern its electrochemical application. High ECSA (0.055 mF/cm2), low Rct, low Tafel slope (99.0 mV/dec), and excellent long-term stability for 3600 s may attribute to its large surface area due to negligible agglomeration. W-Mo15Se19 delivers a current density of 1.65 mA/mg at an overpotential of 0.65 V (Ag/AgCl) in 0.75 M methanol and 1 M KOH, at a scan rate of 50 mV/s.
Towards becoming a service-dominant enterprise: an actor engagement perspective
Authors: Chou Hsin-Hui , Huang Chao-Chin , Tu Pei-Yun 
Published: April 2023

AbstractService-dominant logic (SDL) has become an important thinking, in which service fuels growth of the firm. However, existing evidence offers little explanation of how service emerges as dominant logic. This paper investigates how a firm evolves to become an SDL enterprise. Drawing on theoretical notions of SDL and actor engagement, a case study of Homekoo is performed. The findings show that “service mindset” is the key that drives a firm to embrace SDL, and that technology can act as a “boundary spanner” to coordinate value co-creation practices across different levels, which enhances existing knowledge of actor-to-actor (A2A) interaction.
On the Use of a Hybrid Metallic-Composite Design to Increase Mechanical Performance of an Automotive Chassis
Authors: Garofano A. , Acanfora V. , Fittipaldi F. , Riccio A. 
Published: April 2023

AbstractThanks to the introduction of high-performance composite materials, 'metal replacement' approaches are successfully gaining ground even in the most challenging engineering applications. Among these, one of the most recent application challenges is improving the driving range of Battery Electric Vehicles (BEVs) by adopting innovative materials to lighten the mass of structural components, thus reducing energy requirements and enabling the use of smaller and less expensive batteries. Hence, in the present work, the employment of laminated composite panels in an electric minibus chassis is investigated as an effective way to reduce the global mass of the chassis’ structure and, at the same time, to increase its structural performances in terms of torsional stiffness and crashworthiness. By replacing specific steel tubulars with carbon-fiber-reinforced polymer (CFRP) laminated composite structures, different chassis configurations were numerically developed and detailed simulations to compare both masses and mechanical responses were carried out. The paper proves that with this approach it is possible to lighten the chassis up to 9%, while achieving a 7% increase in torsional stiffness and a 9% increase in Specific Energy Absorption (SEA).
Analysis of Wood Bonding Failures that Initiated Before Adhesive Solidification: Air Fingers and Cavitation
Authors: Lukowsky Dirk , Nguyen Hoa 
Published: April 2023

AbstractBond line openings while an adhesive is still viscous (liquid or paste-like) leave characteristic marks. Air fingers and cavitation develop on the surface of the adhesive when joint parts are fully or partially separated before solidifying of the adhesive. Therefore, the observation of air fingers or cavitation provides important clues on the root cause of the failure of bond lines. There is still limited knowledge about the factors that lead to the formation of either air fingers or cavitation. Additionally, a resoftening of thermoplastic adhesives by high temperatures may be confused with air fingers or cavitation that developed before the initial curing. To improve the understanding of the adhesive structures, we assemble some experiments on this phenomenon. Air fingers dominate when air easily penetrates the adhesive, the adhesive thickness is high, and the adhesive has a low viscosity (early in the process). Cavitation dominates when the adhesive layer is thin, when the viscosity is high (late in the process) or when the air ingress is restricted.