cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23807709
title: Towards supportless laser powder bed fusion: fundamental understanding of the formation of 1<sup>st</sup> layer overhang through parameter optimisation and in-situ high-speed thermal imaging

description: One of the most revolutionary aspects of Laser Powder Bed Fusion (LPBF) is to be able to lift the design constraints from conventional manufacturing. However, as a rule of thumb, any surfaces lower than 45° with respect to the horizontal plane would still require sacrificial supports in order to complete the printing. Fundamentally, it is unclear whether it is feasible to print a 1<sup>st</sup> layer 0° overhang nor how the print parameters for the 1<sup>st</sup> layer can be optimised. This research demonstrates that large 1<sup>st</sup> layer 0° overhangs can be printed with a coverage above 90%. For the first time, the parameter space of laser power, scan speed and hatch spacing for the 1<sup>st</sup> layer has been simultaneously explored efficiently. The use of the rate of change of the mushy zone is proposed for the parameter selection instead of the average melt pool temperature. Adaptive Parameter 28 (AP28: 250W_4000 mm/s_50 µm) is the best choice. Several surface morphological phenomena are discussed. The core parameter (285W_960 mm/s_110 µm) causes severe balling and its mechanism is revealed. The average melt pool temperature of the 1<sup>st</sup> layer by the core parameter is lower than that of the bulk. The ramifications beyond the 1<sup>st</sup> layer are also illustrated.
DOI: 10.6084/m9.figshare.23807709.v1
title: Towards supportless laser powder bed fusion: fundamental understanding of the formation of 1<sup>st</sup> layer overhang through parameter optimisation and in-situ high-speed thermal imaging

description: One of the most revolutionary aspects of Laser Powder Bed Fusion (LPBF) is to be able to lift the design constraints from conventional manufacturing. However, as a rule of thumb, any surfaces lower than 45° with respect to the horizontal plane would still require sacrificial supports in order to complete the printing. Fundamentally, it is unclear whether it is feasible to print a 1<sup>st</sup> layer 0° overhang nor how the print parameters for the 1<sup>st</sup> layer can be optimised. This research demonstrates that large 1<sup>st</sup> layer 0° overhangs can be printed with a coverage above 90%. For the first time, the parameter space of laser power, scan speed and hatch spacing for the 1<sup>st</sup> layer has been simultaneously explored efficiently. The use of the rate of change of the mushy zone is proposed for the parameter selection instead of the average melt pool temperature. Adaptive Parameter 28 (AP28: 250W_4000 mm/s_50 µm) is the best choice. Several surface morphological phenomena are discussed. The core parameter (285W_960 mm/s_110 µm) causes severe balling and its mechanism is revealed. The average melt pool temperature of the 1<sup>st</sup> layer by the core parameter is lower than that of the bulk. The ramifications beyond the 1<sup>st</sup> layer are also illustrated.
DOI: 10.6084/m9.figshare.23656828
title: Shrinkage prediction and correction in material extrusion of cellulose-chitin biopolymers using neural network regression

description: Loss of geometric accuracy due to shrinkage is a challenge in material extrusion of biological composites using water-based inks, such as the cellulose-chitin biopolymers used here. The shape of 3D printed objects often departs from the intended design geometry due to evaporative loss of water during curing. Moreover, such materials' viscoelastic characteristics result in complex volumetric changes that are difficult to predict and compensate for. We developed a prediction-correction scheme by 3D printing and scanning cylindrical and conic surfaces, computing the geometric deviations between designed and cured artefacts, and training a neural network such that given the machine path for a 3D print, the model can predict shrinkage deformations and apply adjustments on the generating machine paths to proactively compensate it. In this article, we present the shrinkage characteristics of the material used and the results of applying the predictor-correction scheme. The approach substantially improves geometric accuracy, enabling nearly seamless assembly of separately 3D printed parts. Addressing such a fundamental problem of quality control as geometric accuracy may enable the broader adoption of biopolymers and potentially displace the generalised use of synthetic plastics.
DOI: 10.6084/m9.figshare.23656828.v1
title: Shrinkage prediction and correction in material extrusion of cellulose-chitin biopolymers using neural network regression

description: Loss of geometric accuracy due to shrinkage is a challenge in material extrusion of biological composites using water-based inks, such as the cellulose-chitin biopolymers used here. The shape of 3D printed objects often departs from the intended design geometry due to evaporative loss of water during curing. Moreover, such materials' viscoelastic characteristics result in complex volumetric changes that are difficult to predict and compensate for. We developed a prediction-correction scheme by 3D printing and scanning cylindrical and conic surfaces, computing the geometric deviations between designed and cured artefacts, and training a neural network such that given the machine path for a 3D print, the model can predict shrinkage deformations and apply adjustments on the generating machine paths to proactively compensate it. In this article, we present the shrinkage characteristics of the material used and the results of applying the predictor-correction scheme. The approach substantially improves geometric accuracy, enabling nearly seamless assembly of separately 3D printed parts. Addressing such a fundamental problem of quality control as geometric accuracy may enable the broader adoption of biopolymers and potentially displace the generalised use of synthetic plastics.
DOI: 10.6084/m9.figshare.23932289
title: Magnetically-assisted digital light processing 4D printing of flexible anisotropic soft-Magnetic composites

description: Flexible anisotropic soft-magnetic composite (FASMC) presents superior magnetic properties in one or more specified directions, showing great potential in the application of microwave absorption, soft robots, and other smart sensors/actuators. However, the fabrication of FASMC using additive manufacturing is challenging due to a trade-off between magnetic properties of the composites enhanced by iron particles and printability during printing. Here, we developed a 4D printing scheme using flexible soft-magnetic photosensitive resin consisting of flexible long-chin acrylic resin monomer and soft magnetic iron particles. Multiple complex structures with good spatial resolution of ∼170 μm were fabricated using magnetic field-assisted digital light processing (MF-DLP). Directional magnetic field was applied during printing, enabling the fabrication of FASMC with strong anisotropic magnetic properties. FASMC with high CIP (carbonyl iron powder, CIP) concentration of up to 45 wt.% was fabricated with excellent tensile strength and elongation up to 460%. Strong anisotropic magnetic properties were demonstrated through a series of stimuli-response testing such as large deformation, anti-deflection, controlled motion, variable stiffness metamaterial, and array assembly, under external magnetic field. This study demonstrates the feasibility and potential of MF-DLP technique for fabrication of FASMC, shedding light on the design and fabrication of next-generation sensors and actuators.
DOI: 10.6084/m9.figshare.23932289.v1
title: Magnetically-assisted digital light processing 4D printing of flexible anisotropic soft-Magnetic composites

description: Flexible anisotropic soft-magnetic composite (FASMC) presents superior magnetic properties in one or more specified directions, showing great potential in the application of microwave absorption, soft robots, and other smart sensors/actuators. However, the fabrication of FASMC using additive manufacturing is challenging due to a trade-off between magnetic properties of the composites enhanced by iron particles and printability during printing. Here, we developed a 4D printing scheme using flexible soft-magnetic photosensitive resin consisting of flexible long-chin acrylic resin monomer and soft magnetic iron particles. Multiple complex structures with good spatial resolution of ∼170 μm were fabricated using magnetic field-assisted digital light processing (MF-DLP). Directional magnetic field was applied during printing, enabling the fabrication of FASMC with strong anisotropic magnetic properties. FASMC with high CIP (carbonyl iron powder, CIP) concentration of up to 45 wt.% was fabricated with excellent tensile strength and elongation up to 460%. Strong anisotropic magnetic properties were demonstrated through a series of stimuli-response testing such as large deformation, anti-deflection, controlled motion, variable stiffness metamaterial, and array assembly, under external magnetic field. This study demonstrates the feasibility and potential of MF-DLP technique for fabrication of FASMC, shedding light on the design and fabrication of next-generation sensors and actuators.
DOI: 10.6084/m9.figshare.21040873
title: Design, manufacture, and characterisation of hierarchical metamaterials for simultaneous ultra-broadband sound-absorbing and superior mechanical performance

description: For engineering applications, sound-absorbing materials are supposed to withstand potential impact loading conditions. However, there is a lack of attempts on multifunctional metamaterials for both acoustic and mechanical purposes. Herein, a hierarchical metamaterial manufactured by fused deposition modelling (FDM) that exhibits simultaneous acoustic and mechanical energy-absorbing capacities is proposed in this work. The metamaterial obtains a successively increasing absorption bandwidth with the growth of the hierarchical order. Ultra-broad half-absorption band from 0.96 to 6.00 kHz is obtained for the fourth order. The unique resonant responses are demonstrated analytically, numerically, and experimentally via properly modulating the structural features. The enhancement mechanism is physically revealed by analysing the impedance matching and resonant damping states. Moreover, compared with its original counterpart, the specific energy absorption (SEA) of the first-order and the second-order hierarchical metamaterials increases by 228% and 434%, respectively. This work provides an effective approach for designing multifunctional metamaterials.
DOI: 10.6084/m9.figshare.21040873.v1
title: Design, manufacture, and characterisation of hierarchical metamaterials for simultaneous ultra-broadband sound-absorbing and superior mechanical performance

description: For engineering applications, sound-absorbing materials are supposed to withstand potential impact loading conditions. However, there is a lack of attempts on multifunctional metamaterials for both acoustic and mechanical purposes. Herein, a hierarchical metamaterial manufactured by fused deposition modelling (FDM) that exhibits simultaneous acoustic and mechanical energy-absorbing capacities is proposed in this work. The metamaterial obtains a successively increasing absorption bandwidth with the growth of the hierarchical order. Ultra-broad half-absorption band from 0.96 to 6.00 kHz is obtained for the fourth order. The unique resonant responses are demonstrated analytically, numerically, and experimentally via properly modulating the structural features. The enhancement mechanism is physically revealed by analysing the impedance matching and resonant damping states. Moreover, compared with its original counterpart, the specific energy absorption (SEA) of the first-order and the second-order hierarchical metamaterials increases by 228% and 434%, respectively. This work provides an effective approach for designing multifunctional metamaterials.
DOI: 10.6084/m9.figshare.24101752
title: 4D printing of magneto-responsive polymer structures by masked stereolithography for miniaturised actuators

description: Masked stereolithography printing can be used to produce functionalised magneto-responsive polymer structures. Magnetic filler additivation of the photopolymer enables the production of powerful and fast soft robotics. However, current approaches require high filler concentrations, reducing the mechanical properties and compromising the processability. In this study, FeNi nanoparticles were added to a photopolymer to take advantage of their soft magnetic response and high magnetisation. Field-assisted printing gives rise to magnetic anisotropy by arranging laser-synthesised FeNi nanoparticles into uniaxial magnetic strands of up to 500 μm length. Favoured by the small size and even distribution of the nanoparticles, only 0.02 wt% are needed to detect magnetic responsivity. Thus, the impact on the mechanical property is reduced while facilitating the control over the composite magnetic properties. The practical feasibility of the composites is demonstrated by actuating gripper and impeller structures which offer possibilities in applications like drug delivery and tissue engineering.
DOI: 10.6084/m9.figshare.24101752.v2
title: 4D printing of magneto-responsive polymer structures by masked stereolithography for miniaturised actuators

description: Masked stereolithography printing can be used to produce functionalised magneto-responsive polymer structures. Magnetic filler additivation of the photopolymer enables the production of powerful and fast soft robotics. However, current approaches require high filler concentrations, reducing the mechanical properties and compromising the processability. In this study, FeNi nanoparticles were added to a photopolymer to take advantage of their soft magnetic response and high magnetisation. Field-assisted printing gives rise to magnetic anisotropy by arranging laser-synthesised FeNi nanoparticles into uniaxial magnetic strands of up to 500 μm length. Favoured by the small size and even distribution of the nanoparticles, only 0.02 wt% are needed to detect magnetic responsivity. Thus, the impact on the mechanical property is reduced while facilitating the control over the composite magnetic properties. The practical feasibility of the composites is demonstrated by actuating gripper and impeller structures which offer possibilities in applications like drug delivery and tissue engineering.
DOI: 10.5281/zenodo.10229246
title: Appendix A - The Implications of Handwritten Text Recognition for Accessing the Past at Scale

description: List of works identified through a Grounded Theory Method (GTM) of the current and near future implications of Handwritten Text Recognition (HTR) on the historical method and wider information environment. The findings of this data collection are provided in 'The Implications of Handwritten Text Recognition for Accessing the Past at Scale'
DOI: 10.5281/zenodo.10229247
title: Appendix A - The Implications of Handwritten Text Recognition for Accessing the Past at Scale

description: List of works identified through a Grounded Theory Method (GTM) of the current and near future implications of Handwritten Text Recognition (HTR) on the historical method and wider information environment. The findings of this data collection are provided in 'The Implications of Handwritten Text Recognition for Accessing the Past at Scale'
DOI: 10.6084/m9.figshare.24681258
title: Projects&Participations.csv

description: The EUPRO database enables the analysis of participation patterns of organisations in and across different European R&D funding initiatives and the investigation of resulting collaborative R&D network structures and dynamics. The perimeter of EUPRO is currently more than 600,000 R&D projects funded by European (EU, transnational or national) research funding organisations, comprising systematic information about contents of the R&D projects, their participating organisations (including organisation type and location), and a number of additional characteristics (e.g. underlying policy instrument and programme). This scientific data descriptor serves as illustrative information source for users, both from science as well as from policy. It discusses the conceptual background and derives respective analytical opportunities for different actual, highly relevant debates in innovation studies and related fields. Moreover, the data collection process is described in a compact manner, as well as how the collected data are harmonized and aggregated into a suitable data model for analytical purposes. Finally, we put forward issues of technical validation, data quality and enrichment, and usage notes on how to access EUPRO.
DOI: 10.6084/m9.figshare.24681258.v1
title: Projects&Participations.csv

description: The EUPRO database enables the analysis of participation patterns of organisations in and across different European R&D funding initiatives and the investigation of resulting collaborative R&D network structures and dynamics. The perimeter of EUPRO is currently more than 600,000 R&D projects funded by European (EU, transnational or national) research funding organisations, comprising systematic information about contents of the R&D projects, their participating organisations (including organisation type and location), and a number of additional characteristics (e.g. underlying policy instrument and programme). This scientific data descriptor serves as illustrative information source for users, both from science as well as from policy. It discusses the conceptual background and derives respective analytical opportunities for different actual, highly relevant debates in innovation studies and related fields. Moreover, the data collection process is described in a compact manner, as well as how the collected data are harmonized and aggregated into a suitable data model for analytical purposes. Finally, we put forward issues of technical validation, data quality and enrichment, and usage notes on how to access EUPRO.
DOI: 10.7488/ds/7554
title: Thermal Oscillations of Nanobubbles

description: Nanobubble cavitation is advancing technologies in enhanced wastewater treatment, cancer therapy and diagnosis, and microfluidic cleaning. Current macroscale models predict that nanobubble oscillations should be isothermal, yet recent studies suggest that they are adiabatic with an associated increase in natural frequency, which becomes challenging when characterizing nanobubble sizes using ultrasound in experiments. We derive a new theoretical model that considers the nonideal nature of the nanobubble’s internal gas phase and nonequilibrium effects, by employing the van der Waals (vdW) equation of state and implementing a temperature jump term at the liquid−gas interface, respectively, finding excellent agreement with molecular dynamics (MD) simulations. Our results reveal how adiabatic behavior could be erroneously interpreted when analyzing the thermal response of the gas using the commonly employed polytropic process and explain instead how nanobubble oscillations are physically closer to their isothermal limit. This data set contains the MD simulation data files to reproduce these results.
DOI: 10.15131/shef.data.24712308
title: Renormalized stress-energy tensor on global anti-de Sitter space-time with Robin boundary conditions

description: Data for Figures 2-7 from the paper "Renormalized stress-energy tensor on global anti-de Sitter space-time with Robin boundary conditions", arXiv:2308.05623 [hep-th]
DOI: 10.15131/shef.data.24712308.v1
title: Renormalized stress-energy tensor on global anti-de Sitter space-time with Robin boundary conditions

description: Data for Figures 2-7 from the paper "Renormalized stress-energy tensor on global anti-de Sitter space-time with Robin boundary conditions", arXiv:2308.05623 [hep-th]
DOI: 10.5281/zenodo.10245892
title: Short and long term impacts of Covid-19 on Older childreN's healTh-Related behAviours, learning and wellbeing STudy (CONTRAST) dataset

description: The CONTRAST study explored how the Covid-19 (lockdown) restrictions affected lives of older children in the UK, particularly how they have influenced learning, eating, physical and other activities and wellbeing.
DOI: 10.5281/zenodo.10245893
title: Short and long term impacts of Covid-19 on Older childreN's healTh-Related behAviours, learning and wellbeing STudy (CONTRAST) dataset

description: The CONTRAST study explored how the Covid-19 (lockdown) restrictions affected lives of older children in the UK, particularly how they have influenced learning, eating, physical and other activities and wellbeing.
DOI: 10.25345/c5dj58t16
title: MassIVE MSV000093550 - Mapping the anti-cancer activity of alpha-connexin carboxyl-terminal (aCT1) peptide in resistant HER2+ breast cancer
title: Connexin 43 (Cx43) is a protein encoded by the GJA1 gene and is a component of cell membrane structures called gap junctions, which facilitate intercellular communication. Prior evidence indicates that elevated GJA1 expression in the HER2-positive (HER2+) subtype of breast cancer is associated with poor prognosis. Prior evidence also suggests that HER2+ breast cancers that have become refractory to HER2 targeted agents have a loss of Cx43 gap junction intercellular communication (GJIC). In this study, a Cx43 targeted agent called alpha-connexin carboxyl-terminal peptide (aCT1) is examined to determine whether GJIC can be rescued in refractory HER2+ breast cancer cells. A proposed mechanism of action for aCT1 is binding to the tight junction protein Zonal Occludens-1 (ZO-1). However, the true scope of activity for aCT1 has not been explored. In this study, proteomic analysis is used to determine the breadth of aCT1 interacting proteins. The NanoString nCounter Breast Cancer 360 panel was also used to examine the effect of aCT1 on cancer signaling in HER2+ breast cancer cells. Findings from this study show a dynamic range of binding partners for aCT1, many of which regulate gene expression and RNA biology. nCounter analysis shows that a number of pathways are significantly impacted by aCT1 including upregulation of apoptotic factors, leading to the prediction and demonstration that aCT1 can boost the cell death effects of cisplatin and lapatinib in HER2+ breast cancer cells that have become resistant to HER2 targeted agents.
DOI: 10.6084/m9.figshare.24428047
title: Supplementary file S1 - Realistic appeal of AI-generated images

description: We conducted a survey following a modified methodology from that employed by Göring et al. (2023), reducing the survey questions to the realistic appeal of AI-generated species images. Similarly to the survey by Göring et al. (2023), participants were randomized from both the university community and the general public. The survey's primary objective was not to compare models but solely to assess the general public's perception of how realistic an image of an animal species could be. No subject variables were added, and no personally identifiable information was collected or stored, in compliance with Brazil’s General Data Protection Law-LGPD (Law No. 13.709/2018). The questionnaire was made available online and distributed among academic groups and the general public for 48 hours, receiving a total of 621 responses (see supplementary material S1 for the database). Participants were asked to rate the images as: 1 - Completely false, 2 - False, but convincing, 3 - Not sure if it is real or not, 4 - Real, but highly modified, and 5 - Real, only processed.