Notes

Three-year follow-up associated with bone tissue standing within man patients right after large volume surgery-a possible single-center cohort research.
The outbreak of the COVID-19 pandemic and the resulting social distancing requirements have led to major disruptions in the world of work. The outcomes of the enforced and large-scale work from home (WFH) practices are currently largely unexplored. This study aims to address this gap in the research by investigating the external and internal digital knowledge sharing (DKS) and creative performance (CP) of employees under these extraordinary circumstances. The social capital theory was utilized as the theoretical lens for examining the associations of DKS and CP with demographic, individual, and organizational factors. An online cross-sectional survey was carried out among knowledge workers based in Norway during the pandemic lockdown. The study results indicate that internal and external DKS are significant predictors of CP in the WFH context during the COVID-19 pandemic. Females and older employees are more likely to engage in external DKS than their counterparts. Furthermore, individual motivation is found to be positively associated with internal DKS, external DKS, and CP. The findings suggest that increased use of digital platforms helps increase CP in the WFH setting resulting from the pandemic. Various theoretical and practical implications are discussed, and future research avenues are proposed.Beall and Murzi (J Philos 110(3)143-165, 2013) introduce an object-linguistic predicate for naïve validity, governed by intuitive principles that are inconsistent with the classical structural rules (over sufficiently expressive base theories). As a consequence, they suggest that revisionary approaches to semantic paradox must be substructural. In response to Beall and Murzi, Field (Notre Dame J Form Log 58(1)1-19, 2017) has argued that naïve validity principles do not admit of a coherent reading and that, for this reason, a non-classical solution to the semantic paradoxes need not be substructural. The aim of this paper is to respond to Field's objections and to point to a coherent notion of validity which underwrites a coherent reading of Beall and Murzi's principles grounded validity. The notion, first introduced by Nicolai and Rossi (J Philos Log. doi10.1007/s10992-017-9438-x, 2017), is a generalisation of Kripke's notion of grounded truth (J Philos 72690-716, 1975), and yields an irreflexive logic. While we do not advocate the adoption of a substructural logic (nor, more generally, of a revisionary approach to semantic paradox), we take the notion of naïve validity to be a legitimate semantic notion that points to genuine expressive limitations of fully structural revisionary approaches.The phase-velocity dispersion curve (DC) is an important characteristic of the propagation of surface waves in sedimentary environments. Although the procedure for DC estimation in onshore environments using ambient vibration recordings is well established, the DC estimation in offshore environments using Ocean Bottom Seismometers (OBS) array recordings of ambient vibrations presents three additional challenges (1) the localization of sensors, (2) the orientation of the OBS horizontal components, and (3) the clock error. Here, we address these challenges in an inherent preprocessing workflow to ultimately extract the Love and Scholte wave DC from small aperture OBS array measurements performed between 2018 and 2020 in Lake Lucerne (Switzerland). The arrays have a maximum aperture of 679 m and a maximum deployment water depth of 81 m. The challenges related to the OBS location on the lake floor are addressed by combining the multibeam bathymetry map and the backscatter image for the investigated site with the differential GPS coordinates of the OBS at recovery. The OBS measurements are complemented by airgun surveys. Airgun data are first used to estimate the misorientation of the horizontal components of the OBS and second to estimate the clock error. To assess the robustness of the preprocessing workflow, we use two array processing methods, namely the three-component high-resolution frequency-wavenumber and the interferometric multichannel analysis of surface waves, to estimate the dispersion characteristics of the propagating Scholte and Love waves for one of the OBS array sites. The results show the effectiveness of the preprocessing workflow. We observe the phase-velocity dispersion curve branches in the frequency range between 1.2 and 3.2 Hz for both array processing techniques.
The online version contains supplementary material available at 10.1007/s00024-021-02923-8.
The online version contains supplementary material available at 10.1007/s00024-021-02923-8.Global citizenship education (GCE) advocates global interdependency and interconnectedness, encouraging students to actively defend social justice, equity, and sustainable development at both local and global levels. When putting GCE into use, educators need specifications to transform it from normative ideals into knowledge suitable for conceptual learning. This case study explores Chinese educators' views on GCE regarding operationalized intents, practices, and preparation for implementation in a curriculum. It aims to understand how the conceptualization of GCE functions as a curriculum innovation at secondary school level. Principals (n = 6) and teachers (n = 10) from six participating schools in an anonymous city in Jiangsu province were purposely sampled, providing data for the researcher in semistructured interviews. The study reveals a GCE curriculum prototype in which the intents were subject to Confucian values and Moral Education's disciplines, whereas pedagogies and instructional approaches were planned to be consistent with constructivist teaching and delivered in an authentic learning context.Accurate detection of COVID-19 is one of the challenging research topics in today's healthcare sector to control the coronavirus pandemic. Automatic data-powered insights for COVID-19 localization from medical imaging modality like chest CT scan tremendously augment clinical care assistance. In this research, a Contour-aware Attention Decoder CNN has been proposed to precisely segment COVID-19 infected tissues in a very effective way. It introduces a novel attention scheme to extract boundary, shape cues from CT contours and leverage these features in refining the infected areas. For every decoded pixel, the attention module harvests contextual information in its spatial neighborhood from the contour feature maps. As a result of incorporating such rich structural details into decoding via dense attention, the CNN is able to capture even intricate morphological details. The decoder is also augmented with a Cross Context Attention Fusion Upsampling to robustly reconstruct deep semantic features back to high-resolution segmentation map. It employs a novel pixel-precise attention model that draws relevant encoder features to aid in effective upsampling. The proposed CNN was evaluated on 3D scans from MosMedData and Jun Ma benchmarked datasets. It achieved state-of-the-art performance with a high dice similarity coefficient of 85.43% and a recall of 88.10%.With the prioritization of social inclusion in agricultural development, donors and research centers have shown growing interest in gender-intentional varietal development and delivery. Breeding maize varieties that respond to gender-based differences in trait preferences now represents a central objective of maize R&D in the CGIAR and elsewhere. Drawing on literature on gender and maize seed adoption, variety preferences, and seed system constraints, we take stock of knowns and unknowns related to gender-responsive and gender-intentional maize breeding. While recent research on farmers' variety preferences across crops has yielded insights into gender-based differences, we find that evidence of gender-differentiated preferences for maize varieties remains inconclusive. Ultimately, we identify several research priorities to support gender-intentional maize breeding, including a more nuanced understanding of gender relations in maize production and maize seed decision-making, new and more gender-responsive approaches to measuring farmer preferences and seed demand more broadly, and research to address operational challenges in gender-intentional breeding. We close by identifying some institutional constraints to achieving impact through gender-intentional maize breeding.As health care systems have been recast as innovation assets, commercial aims are increasingly prominent within states' health and medical research policies. Despite this, the reformulation of notions of social and of scientific value and of long-standing relations between science and the state that is occurring in research policies remains comparatively unexamined. Addressing this lacuna, this article investigates the articulation of 'actually existing neoliberalism' in research policy by examining a major Australian research policy and funding instrument, the Medical Research Future Fund (MRFF). We identify the MRFF and allied initiatives as a site of state activism reallocating resources from primary and preventive health care to commercially-oriented biomedical research; privileging commercial objectives in research and casting health as a "flow on effect"; reorganising the publicly funded production of health and medical knowledge; and arrogating for political actors a newly prominent role in research grant assessment and funding allocation. We conclude that rather than the state's assumption of a more activist role in medical research and innovation straightforwardly serving a 'public good', it is a driver of neoliberalisation that erodes commitments to redistributive justice in health care and significantly reconfigures science-state relations in research policy.Global science expansion and the 'skills premium' in labor markets have been extensively discussed in the literature on the global knowledge economy, yet the focus on, broadly-speaking, knowledge-related personnel as a key factor is surprisingly absent. This article draws on UIS and OECD data on research and development (R&D) personnel for the period 1980 to 2015 for up to N = 82 countries to gauge cross-national trends and to test a wide range of educational, economic, political and institutional determinants of general expansion as well as expansion by specific sectors (i.e. higher education vs corporate R&D) and country groups (OECD vs non-OECD). Findings show that, worldwide, the number of personnel involved in the creation of novel and original knowledge has risen dramatically in the past three decades, across sectors, with only a few countries reporting decrease. Educational (public governance, tertiary enrolment and professionalization) and economic predictors (R&D expenditures and gross national income) show strong effects. Expansion is also strongest in those countries embedded in global institutional networks, yet regardless of a democratic polity. I discuss the emergence of 'knowledge work' as a mass-scale and worldwide phenomenon and map out consequences for the analysis of such a profound transformation, which involves both an educated workforce and the strong role of the state.
The online version contains supplementary material available at 10.1007/s11024-021-09455-4.
The online version contains supplementary material available at 10.1007/s11024-021-09455-4.
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