The University of Edinburgh
  • Edinburgh, Scotland, United Kingdom
Recent publications
Using a constructional approach to morphosyntax, this study describes a triclausal construction (a type of anankastic conditional) and related constructions in the history of Chinese. It demonstrates that the triclausal construction constitutes a context of morphosyntactic vagueness where category boundaries between modals and protasis connectives are underdetermined and consequently, bidirectional rather than unidirectional developments occur. Morphosyntactic vagueness is defined by properties shared between two morphosyntactic categories: distributional and functional similarities. Therefore, changes enabled by morphosyntactic vagueness are argued to be regular processes of change mediated by grammatical equivalence. If grammaticalization is defined as the development of morphosyntactic categories, but not in terms of non-equivalence such as unidirectionality or increased grammaticality, grammaticalization may be systematically bidirectional when enabled by morphosyntactic vagueness.
Autistic individuals are commonly said-and also consider themselves-to be excessively literalist, in the sense that they tend to prefer literal interpretations of words and utterances. This literalist bias seems to be fairly specific to autism and still lacks a convincing explanation. In this paper we explore a novel hypothesis that has the potential to account for the literalist bias in autism. We argue that literalism results from an atypical functioning of the predictive system: specifically, an atypical balance between predictions and error signals in language processing may make individuals more uncertain about their own predictions. Such uncertainty is then often resolved by resorting to the safest interpretation, that is, the literal one. We start by reviewing existing explanations of other autistic traits that appeal to predictive processing. We then apply these insights to language, by showing that predictions play a key role in everyday comprehension and that a low level of confidence in one's own predictions is likely to escalate comprehension difficulties. Finally, we take a deeper look at non-literal uses of language by discussing the case of metaphors, to illustrate how a predictive processing account offers a promising explanation of the literalist bias in autism.
Our paper focuses on how firms strategically respond to environmental regulations on environmental actions. Given the greater discretion in environmental information disclosure and relaxed environmental regulations enforcement in China, we propose that firms tend to say more while do less to obtain environmental legitimacy, namely corporate environmental actions decoupling. Using a sample of 5422 Chinese firm-year observations over the period of 2012-2018, we document that stringent environmental regulations contribute to a significant inconsistency between environmental reporting and actual environmental performance. Moreover, we demonstrate that this inconsistency is exacerbated when firms possess greater bargaining power and fewer financial resources. Our paper not only advances the understanding of how firms navigate external regulations by examining the tradeoffs between symbolic and substantive actions, but also sheds light on factors influencing decoupling/greenwashing practices from the perspective of government-business relations in China, and potentially in other emerging economies.
The utilization of organic solid waste (OSW) for preparing standardized seedling substrates is a main challenge due to its temporal and spatial variability. This study aims to form models based on data from the literature and validate them through experiments to explore a standardized seedling substrate. The typical OSW in Hainan Province, including municipal sewage sludge (MSS), coconut bran (CB), seaweed mud (SM), and municipal sewage sludge biochar (MSSB), was used as raw material. A series of six mixing ratios was tested, namely: T1 (0% MSS: 90% CB), T2 (10% MSS: 80% CB), T3 (30% MSS: 60% CB), T4 (50% MSS: 40% CB), T5 (70% MSS: 20% CB), and T6 (90% MSS: 0% CB). SM and MSSB were added as amendment materials at 5% (w/w) for each treatment. The physicochemical properties of substrates, agronomic traits of rice seedlings and microbial diversity were analyzed. The results showed that the four kinds of OSW played an active role in providing rich sources of nutrients. The dry weight of the above-ground part was 2.98 times greater in T3 than that of the commercial substrate. Furthermore, the microbial analysis showed a higher abundance of Actinobacteria in T3, representing the stability of the composted products. Finally, the successful fitting of the results with the linear regression models could establish relationship equations between the physicochemical properties of the substrate and the growth characteristics of seedlings. The relevant parameters suitable for the growth of rice seedlings were as follows: pH (6.46–7.01), EC (less than 2.12 mS cm−1), DD (0.13–0.16 g cm−3), and TPS (65.68–82.73%). This study proposed relevant parameters and models for standardization of seedling substrate, which would contribute to ensuring the quality of seedlings and OSW resource utilization.
Tunable diode laser absorption spectroscopy tomography (TDLAST) has been widely applied for imaging two-dimensional distributions of industrial flow-field parameters, e.g., temperature and species concentration. Two main interested imaging objectives in TDLAST are the local combustion and its radiation in the entire sensing region. State-of-the-art algorithms were developed to retrieve either of the two objectives. In this paper, we address the both by developing a novel multi-output imaging neural network, named as Spatially Progressive Neural Network (SpaProNet). This network consists of locally and globally prioritized reconstruction stages. The former enables hierarchical imaging of the finely resolved and highly accurate local combustion, but coarsely resolved background. The later retrieves a fine-resolved image for the entire sensing region, at the cost of slightly trading off the reconstruction accuracy in the combustion zone. Furthermore, the proposed network is driven by the hydrodynamics of the real reactive flows, in which the training dataset is obtained from large eddy simulation. The proposed SpaProNet is validated by both simulation and lab-scale experiment. In all test cases, the visual and quantitative metric comparisons show that the proposed SpaProNet outperforms the existing methods from the following two perspectives: a) the locally prioritized stage provides ever-better accuracy in the combustion zone; b) the globally prioritized stage shows turbulence-indicative accuracy in the entire sensing region for diagnosis of heat radiation from the flame and flame-air interactions.
Few-Shot Learning (FSL) algorithms are commonly trained through Meta-Learning (ML), which exposes models to batches of tasks sampled from a meta-dataset to mimic tasks seen during evaluation. However, the standard training procedures overlook the real-world dynamics where classes commonly occur at different frequencies. While it is generally understood that class imbalance harms the performance of supervised methods, limited research examines the impact of imbalance on the FSL evaluation task. Our analysis compares 10 state-of-the-art meta-learning and FSL methods on different imbalance distributions and rebalancing techniques. Our results reveal that 1) some FSL methods display a natural disposition against imbalance while most other approaches produce a performance drop by up to 17% compared to the balanced task without the appropriate mitigation; 2) many meta-learning algorithms will not automatically learn to balance from exposure to imbalanced training tasks; 3) classical rebalancing strategies, such as random oversampling, can still be very effective, leading to state-of-the-art performances and should not be overlooked.
Little is known about Antarctic subglacial hydrology, but based on modeling, theory and indirect observations it is thought that subglacial runoff enhances submarine melt locally through buoyancy effects. However, no studies to date have examined effects of runoff on sea ice and oceanography on the continental shelf. Here we use modeled and observational estimates of runoff to force a regional model of the Amundsen Sea Embayment. We find that runoff enhances melt locally (i.e. within the ice‐shelf cavity), increasing melt at Thwaites ice shelf by up to 15 Gt/a given estimates of steady runoff, and up to 25 Gt/a if runoff is episodic as remote sensing measurements suggest. However runoff also has smaller non‐local effects on melt through freshwater influence on flow and stratification. We further find that runoff reduces summer sea‐ice volume over the continental shelf (by up to 10% with steady runoff but over 30% with episodic runoff). Furthermore runoff is much more effective at reducing sea ice than an equivalent volume of ice‐shelf meltwater — due in part to the latent heat loss associated with submarine melting. Results suggest that runoff may play an important role in continental shelf dynamics, despite runoff flux being small relative to ice‐shelf melting — and that runoff‐driven melt and circulation may be an important process missing from regional Antarctic ocean models.
Here, teachers and students of an online, postgraduate course, “Current Issues in Clinical Education” (part of the MSc Clinical Education at the University of Edinburgh), consider co-participation from a postdigital view in which learning is neither fully online nor offline, but spills into and out of formal, digital and physical spaces. The course begins empty, other than a task structure and some resources. This leaves “pedagogical space” for content to emerge through dialogue, and ideas from students’ practice settings. The teacher undertakes the assignment alongside the students, and boundaries are eroded without dissolving. In reflecting on our different experiences of the course, we foreground some power relations and political economics of contemporary, online postgraduate education, and the implications for meaningful participation, co-design, and co-creation.
Mixed matrix membranes (MMMs) containing metal–organic frameworks (MOFs) have been an emerging and promising membrane technology to contribute to different gas separation applications including carbon dioxide (CO2) and oxygen (O2) separation, because of their large surface areas and distinctive gas adsorption features. In this work, the fabrication process of Polydimethylsiloxane (PDMS)-based MMMs was reported, in which 0.5 to 2 wt.% of each type of (Cu, Ni)-based MOF-74 variants were incorporated into a PDMS matrix in order to achieve high CO2/N2, O2/N2, and CO2/O2 separation efficiency. These MMMs and their nanofillers (MOF-74) were extensively characterized using scanning electron microscopy (SEM) along with Energy Dispersive X-Ray (EDX) mapping, X-ray Diffraction (XRD), Fourier-transform infrared spectroscopy (FT-IR), a single gas permeation testing system, and an ultimate tensile strength testing (UTS) unit in order to gain insight into their properties in relation to their gas separation performance. The 1 wt.% of both (Cu and Ni)-MOF-74@PDMS were selected as the most optimum MMMs due to their uniform morphology and enhanced tensile strength, which exhibited high CO2 permeabilities of 4432 Barrer (37.9% increase) and 4288 Barrer (33.5% increase), respectively. Furthermore, in the case of 1 wt.% Ni-MOF-74@PDMS, the CO2/N2, O2/N2, and CO2/O2 selectivities were also enhanced to 36.2 (141.6% increase), 3.2 (21.9% increase), and 11.25 (98.1% increase), respectively. While, in the case of 1 wt.% Cu-MOF-74@PDMS the CO2/N2 and O2/N2 selectivities showed an increment up-to 94.7 (531.5% increase) and 6.47 (145% increase), respectively, Whereas, at 0.5 wt.%, Cu-MOF-74@PDMS showed the best CO2/O2 selectivity of 25.26 (344.7% increase). Graphical Abstract
Animal welfare assessments have struggled to investigate the emotional states of animals while focusing solely on available empirical evidence. Qualitative Behavioural Assessment (QBA) may provide insights into an animal’s subjective experiences without compromising scientific rigor. Rather than assessing explicit, physical behaviours (i.e., what animals are doing, such as swimming or feeding), QBA describes and quantifies the overall expressive manner in which animals execute those behaviours (i.e., how relaxed or agitated they appear). While QBA has been successfully applied to scientific welfare assessments in a variety of species, its application within aquaculture remains largely unexplored. This study aimed to assess QBA’s effectiveness in capturing changes in the emotional behaviour of Atlantic salmon following exposure to a stressful challenge. Nine tanks of juvenile Atlantic salmon were video-recorded every morning for 15 min over a 7-day period, in the middle of which a stressful challenge (intrusive sampling) was conducted on the salmon. The resultant 1-min, 63 video clips were then semirandomised to avoid predictability and treatment bias for QBA scorers. Twelve salmon-industry professionals generated a list of 16 qualitative descriptors (e.g., relaxed, agitated, stressed) after viewing unrelated video-recordings depicting varying expressive characteristics of salmon in different contexts. A different group of 5 observers, with varied experience of salmon farming, subsequently scored the 16 descriptors for each clip using a Visual Analogue Scale (VAS). Principal Components Analysis (correlation matrix, no rotation) was used to identify perceived patterns of expressive characteristics across the video-clips, which revealed 4 dimensions explaining 74.5% of the variation between clips. PC1, ranging from ‘relaxed/content/positive active’ to ‘unsettled/stressed/spooked/ skittish’ explained the highest percentage of variation (37%). QBA scores for videoclips on PC1, PC2, and PC4 achieved good inter- and intra-observer reliability. Linear Mixed Effects Models, controlled for observer variation in PC1 scores, showed a significant difference between PC1 scores before and after sampling (p = 0.03), with salmon being perceived as more stressed afterwards. PC1 scores also correlated positively with darting behaviours (r = 0.42, p < 0.001). These results are the first to report QBA’s sensitivity to changes in expressive characteristics of salmon following a putatively stressful challenge, demonstrating QBA’s potential as a welfare indicator within aquaculture.
Background Physical activity and exercise have been suggested as effective interventions for the prevention and management of mild cognitive impairment (MCI) and dementia, but there are no international guidelines. Objectives To create a set of evidence- and expert consensus-based prevention and management recommendations regarding physical activity (any bodily movement produced by skeletal muscles that results in energy expenditure) and exercise (a subset of physical activity that is planned, structured, repetitive), applicable to a range of individuals from healthy older adults to those with MCI/dementia. Methods Guideline content was developed with input from several scientific and lay representatives’ societies. A systematic search across multidisciplinary databases was carried out until October 2021. Recommendations for prevention and management were developed according to the GRADE and complemented by consensus statements from the expert panels. Recommendations Physical activity may be considered for the primary prevention of dementia. In people with MCI there is continued uncertainty about the role of physical activity in slowing the conversion to dementia. Mind–body interventions have the greatest supporting evidence. In people with moderate dementia, exercise may be used for maintaining disability and cognition. All these recommendations were based on a very low/low certainty of evidence. Conclusions Although the scientific evidence on the beneficial role of physical activity and exercise in preserving cognitive functions in subjects with normal cognition, MCI or dementia is inconclusive, this panel, composed of scientific societies and other stakeholders, recommends their implementation based on their beneficial effects on almost all facets of health.
Crocodiles are renowned for their resilience and capacity to withstand environmental stressors, likely influenced by their unique gut microbiome. In this study, we determined whether selected gut bacteria of Crocodylus porosus exhibit anti-inflammatory effects in response to stress, by measuring nitric oxide release, interleukin 1-beta, tumor necrosis factor-alpha, and prostaglandin E2 in cerebrovascular endothelial cells. Using the Griess assay, the findings revealed that among several C. porosus gut bacterial isolates, the conditioned media containing the metabolites of two bacterial strains (CP27 and CP36) inhibited nitric oxide production significantly, in response to the positive control, i.e., taxol-treatment. Notably, CP27 and CP36 were more potent at reducing nitric oxide production than senloytic compounds (fisetin, quercetin). Using enzyme linked immunosorbent assays, the production of pro-inflammatory cytokines (IL-1β, TNF-α, PGE2), was markedly reduced by treatment with CP27 and CP36, in response to stress. Both CP27 and CP36 contain a plethora of metabolites to exact their effects [(3,4-dihydroxyphenylglycol, 5-methoxytryptophan, nifedipine, 4-chlorotestosterone-17-acetate, 3-phenoxypropionic acid, lactic acid, f-Honaucin A, l,l-Cyclo(leucylprolyl), 3-hydroxy-decanoic acid etc.], indicative of their potential in providing protection against cellular stress. Further high-throughput bioassay-guided testing of gut microbial metabolites from crocodiles, individually as well as in combination, together with the underlying molecular mechanisms, in vitro and in vivo will elucidate their value in the rational development of innovative therapies against cellular stress/gut dysbiosis.
Hypocoristics have received considerable interest from phonologists in recent decades, particularly within the Optimality-theoretic literature. While most of these analyses have been situated in parallelist OT, I claim that this architectural choice entails hidden complexities. It is cross-linguistically common for multiple hypocoristics to be formed from a single proper noun, e.g., Matthew → Matt / Matty . In this case, parallelist OT must resort to co-phonologies to avoid ranking paradoxes, which results in significant analytical complexity. By contrast, I argue in this paper that a stratal analysis is crucial for capturing multiple patterns of Hypocoristic Formation (HF) within a single architecture. I present here data of disyllabic hypocoristics from Standard Chilean Spanish. These hypocoristics are derived from the proper nouns by means of two separate anchoring sites: to the left edge of the full name, or to prominence in the full name, i.e., the tonic syllable. In addition, hypocoristics may be prosodically- or morphologically-driven: they may solely be formed by truncating the material of the proper noun, or, in the latter case, there may also be additional suffixal material provided. These data, therefore, lend themselves to a four-way categorisation. I show that this categorisation can be fully accounted for within a stratal architecture, and without the need for additional co-phonologies. Within the analysis, I locate each of the anchoring sites within the lexical phonology: edge-anchoring occurs at the stem level, along with syllabification and stress assignment, while prominence-anchoring occurs at the word level. In this way, the input to edge-anchoring at the stem level comprises a string of segments, while the input to prominence-anchoring at the word-level contains prosodic units up to the foot, which permits word-level HF to anchor to prominence. I further posit that prosodic- and morphologically-driven HF are caused through the passing of hypocoristic morphemes from the morpho-syntax to the phonology. Purely prosodic HF is triggered through a null or covert morpheme, while morphological HF triggered by an overt one. The hypocoristic morphemes themselves are stored as diacritics in the proper nouns’ lexical entries. Furthermore, the constraints that select the hypocoristic forms as optimal are sensitive to the presence of this hypocoristic morpheme, which is reflected in tableaux through indexing. When a hypocoristic morpheme is present in the input of a proper noun to a particular stratum, these highly-ranked indexed constraints select a corresponding hypocoristic form as optimal. If the hypocoristic morpheme is absent, these constraints do not assign violations, and the proper noun is instead (vacuously) found optimal. This analysis thus unifies two distinct patterns of HF in one phonological grammar through the inclusion of indexed-constraints and the serial derivation in a constraint-based architecture.
A series of isostructural Ln3O2(CN3) (Ln = La, Eu, Gd, Tb, Ho, Yb) oxoguanidinates was synthesized under high‐pressure (25‐54 GPa) high‐temperature (2000‐3000 K) conditions in laser‐heated diamond anvil cells. The crystal structure of this novel class of compounds was determined via synchrotron single‐crystal X‐ray diffraction (SCXRD) as well as corroborated by X‐ray absorption near edge structure (XANES) measurements and density functional theory (DFT) calculations. The Ln3O2(CN3) solids are composed of the hitherto unknown CN35‐ guanidinate anion — deprotonated guanidine. Changes in unit cell volumes and compressibility of Ln3O2(CN3) (Ln = La, Eu, Gd, Tb, Ho, Yb) compounds are found to be dictated by the lanthanide contraction phenomenon. Decompression experiments show that Ln3O2(CN3) compounds are recoverable to ambient conditions. The stabilization of the CN35‐ guanidinate anion at ambient conditions provides new opportunities in inorganic and organic synthetic chemistry.
Introduction/Background In the Phase III SOLO1 trial (NCT01844986), maintenance olaparib extended progression-free survival (PFS) versus placebo (2-year PFS rates: 74% for olaparib versus 35% for placebo) in patients with BRCA-mutated (BRCAm) advanced ovarian cancer (AOC). The pan-European OVAL-1 study (NCT04532645) aims to generate the first real-world evidence with 2 years’ minimum follow-up on treatment patterns and clinical outcomes of patients with BRCAm AOC receiving olaparib in the first-line maintenance setting. Methodology This non-interventional, retrospective, observational cohort study enrolled patients across Italy, the UK, and France who had tumour/germline BRCAm AOC, were in response following first-line platinum-based chemotherapy, and had received maintenance olaparib (300 mg twice daily; starting dose between January 2019 and June 2020). Clinical data were analysed by country. Time to real-world overall survival (rw-OS), time to treatment discontinuation (rw-TTD), time to first subsequent treatment (rw-TFST), and olaparib treatment patterns were evaluated. Results Of 357 patients enrolled, 342 were eligible for analysis. Country-specific patient characteristics, rw-OS, rw-TTD, rw-TFST, and adverse events (AEs) are presented in the table 1. The UK had a higher proportion of International Federation of Gynaecology and Obstetrics (FIGO) stage IV patients, lower rw-OS and lower rw-TFST compared with Italy and France. AEs were reported in 79.0%, 60.9%, and 40.8% of patients from Italy, the UK, and France, respectively. Anaemia and nausea were the most common AEs. One case of myelodysplastic syndrome (MDS)/acute myeloid leukaemia (AML) was reported in France.View this table: • View inline • View popup • Download powerpoint Abstract #512 Table 1 2-year interim patient demographics; olaparib treatment patterns; rw-TTD, rw-OS; rw-TFST, and AEs in the OVAL-1 trial Conclusion 2-year interim data from the pan-European OVAL-1 study demonstrate the real-world effectiveness and safety of first-line maintenance olaparib, complementing findings from the randomised controlled SOLO1 trial in patients with AOC. Future analyses will include longer follow-up treatment patterns, safety, and effectiveness, and pooled analyses from the participating countries. Disclosures This study was funded by AstraZeneca and is part of an alliance between AstraZeneca and Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA.
A series of isostructural Ln3O2(CN3) (Ln = La, Eu, Gd, Tb, Ho, Yb) oxoguanidinates was synthesized under high‐pressure (25‐54 GPa) high‐temperature (2000‐3000 K) conditions in laser‐heated diamond anvil cells. The crystal structure of this novel class of compounds was determined via synchrotron single‐crystal X‐ray diffraction (SCXRD) as well as corroborated by X‐ray absorption near edge structure (XANES) measurements and density functional theory (DFT) calculations. The Ln3O2(CN3) solids are composed of the hitherto unknown CN35‐ guanidinate anion — deprotonated guanidine. Changes in unit cell volumes and compressibility of Ln3O2(CN3) (Ln = La, Eu, Gd, Tb, Ho, Yb) compounds are found to be dictated by the lanthanide contraction phenomenon. Decompression experiments show that Ln3O2(CN3) compounds are recoverable to ambient conditions. The stabilization of the CN35‐ guanidinate anion at ambient conditions provides new opportunities in inorganic and organic synthetic chemistry.
We describe three studies that together provide a first approximation to a comprehensive taxonomy of unique personality facets. In Study 1, we semantically sorted, removed synonyms, and factor analysed 1772 personality items taken from seven major omnibus personality inventories and four narrow inventories. Study 1 identified 61 base facets. In Study 2, we conducted a systematic review of the literature to identify facets missing from the 61 base facets. We identified 16 novel facets. We then created standardised, open access items for the 77 facets. In Study 3, we administered the items to a novel sample ( N = 1096) and assessed the psychometric properties of the facets. The ultimate result was 70 personality facet scales that are open access, psychometrically robust, unidimensional, and discriminant. We call this inventory the Facet-level Multidimensional Assessment of Personality or Facet MAP, version 1. The Facet MAP contains scales equivalent to almost all scales present in major personality inventories, and in most cases, many more as well. As the Facet MAP develops, we hope it will eventually provide a comprehensive taxonomy of personality facets, which will prove useful in reducing construct proliferation and facilitating numerous avenues of important personality research. The Facet MAP items and user manual can be found at: facetmap.org.
Tuberculosis (TB) originating from expatriates that hail from high TB-burden countries is hypothesized to play a role in continued TB transmission in Oman. Here, we used whole-genome sequencing (WGS) to assess national TB transmission dynamics. The annual incidence per 100,000 population per year was calculated for nationals and expatriates. A convenience sample of Mycobacterium tuberculosis (MTB) isolates from 2018 to 2019 was sequenced and analyzed with publicly available TB sequences from Bangladesh, Tanzania, the Philippines, India, and Pakistan. Relatedness was assessed by generating core-genome single nucleotide polymorphism (SNP) distances. The incidence of TB was five cases per 100,000 persons in 2018 and seven cases per 100,000 persons in 2020 ( R ² = 0.34, P = 0.60). Incidence among nationals was 3.9 per 100,000 persons in 2018 and 3.5 per 100,000 persons in 2020 ( R ² = 0.20 , P = 0.70), and incidence among expatriates was 7.2 per 100,000 persons in 2018 and 12.7 per 100,000 persons in 2020 ( R ² = 0.74, P = 0.34). Sixty-eight local MTB isolates were sequenced and analyzed with 393 global isolates. Isolates belonged to nine distinct spoligotypes. Two isolates, originating from an expatriate and an Omani national, were grouped into a WGS-based cluster (SNP distance < 12), which was corroborated by an epidemiological investigation. Relatedness of local and global isolates (SNP distance < 100) was also seen. The relatedness between MTB strains in Oman and those in expatriate countries of origin can aid inform TB control policy. Our results provide evidence that WGS can complement epidemiological analysis to achieve the End TB strategy goal in Oman. IMPORTANCE Tuberculosis (TB) incidence in Oman remains above national program control targets. TB transmission originating from expatriates from high TB-burden countries has been hypothesized to play a role. We used whole-genome sequencing (WGS) to assess TB transmission dynamics between expatriates and Omani nationals to inform TB control efforts. Available Mycobacterium tuberculosis isolates from 2018 to 2019 underwent WGS and analysis with publicly available TB sequences from Bangladesh, the Philippines, India, and Pakistan to assess for genetic relatedness. Our analysis revealed evidence of previously unrecognized transmission between an expatriate and an Omani national, which was corroborated by epidemiological investigation. Analysis of local and global isolates revealed evidence of distant relatedness between local and global isolates. Our results provide evidence that WGS can complement classic public health surveillance to inform targeted interventions to achieve the End TB strategy goal in Oman.
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Elsa Lasseuguette
  • Institute for Materials and Processes (IMP)
Fabio Nudelman
  • School of Chemistry
Scott L Cockroft
  • School of Chemistry
James Kenneth Stewart
  • Centre for Science, Technology and Innovation Studies
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