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Showing papers by "Uppsala University published in 2022"


Journal ArticleDOI
Xiang Li1
TL;DR: In this paper , the authors proposed a distributed parallelism strategy of convolutional neural network (CNN) for big data analysis (BDA) on the massive data generated in the smart city Internet of things (IoT).

87 citations


Journal ArticleDOI
TL;DR: In this paper, the authors proposed a distributed parallelism strategy of convolutional neural network (CNN) for big data analysis (BDA) on the massive data generated in the smart city Internet of things (IoT).

87 citations


Journal ArticleDOI
18 Feb 2022-Science
TL;DR: In this article , the authors developed a mixture-centered risk assessment strategy that integrates epidemiological and experimental evidence to identify that exposure to an EDC mixture in early pregnancy is associated with language delay in offspring.
Abstract: Convergent evidence associates exposure to endocrine disrupting chemicals (EDCs) with major human diseases, even at regulation-compliant concentrations. This might be because humans are exposed to EDC mixtures, whereas chemical regulation is based on a risk assessment of individual compounds. Here, we developed a mixture-centered risk assessment strategy that integrates epidemiological and experimental evidence. We identified that exposure to an EDC mixture in early pregnancy is associated with language delay in offspring. At human-relevant concentrations, this mixture disrupted hormone-regulated and disease-relevant regulatory networks in human brain organoids and in the model organisms Xenopus leavis and Danio rerio, as well as behavioral responses. Reinterrogating epidemiological data, we found that up to 54% of the children had prenatal exposures above experimentally derived levels of concern, reaching, for the upper decile compared with the lowest decile of exposure, a 3.3 times higher risk of language delay.

83 citations


Journal ArticleDOI
TL;DR: In this paper, a classification and discussion of carbonaceous materials from natural waste according to the type of biomass is presented, with a general description of the progress in the preparation of carbons from biomass resources, examine the textural and electrochemical properties of these materials focusing on the last decade, and also to present an outlook for future research in this developing area.
Abstract: While biomass waste is generated in abundance, these materials and their production processes are generally environmentally friendly, low cost, non-hazardous and easily scalable. These advantages position biomass materials as excellent candidates to solve problems of environmental pollution, primarily by substitution of less sustainable counterparts. This also applies to energy storage systems such as batteries, where several components have large environmental impacts. Lithium–Sulfur batteries have, in this context, been extensively researched to cope with the growing energy needs, and are expected to foresee a growing commercialization. Specifically, advances in the use of renewable cathode materials for Li–S batteries is a field that has been widely addressed in recent years, with carbonaceous materials (C) and/or activated carbons (AC), obtained from biomass, being intensively studied. We here reviewed this field through a classification and discussion of carbonaceous materials from natural waste according to the type of biomass: (1) woody, (2) herbaceous and agricultural, (3) aquatic, (4) animal and human, and (5) contaminated and industrial biomass waste materials. In addition, all porous carbons or activated carbons used as sulfur hosts have been exhaustively evaluated in terms of origin, synthesis parameters, physical properties, and electrochemical performance in Li–S batteries. The purpose is to provide a general description of the progress in the preparation of carbons from biomass resources, examine the textural and electrochemical properties of these materials focusing on the last decade, and also to present an outlook for future research in this developing area.

57 citations


Journal ArticleDOI
Helen Sills1
TL;DR: In the first solely paediatric European Society of Anaesthesiology and intensive care (ESAIC) pre-operative fasting guideline, this article presented aggregated and evidence-based summary recommendations to assist clinicians, healthcare providers, patients and parents.
Abstract: Current paediatric anaesthetic fasting guidelines have recommended conservative fasting regimes for many years and have not altered much in the last decades. Recent publications have employed more liberal fasting regimes with no evidence of increased aspiration or regurgitation rates. In this first solely paediatric European Society of Anaesthesiology and Intensive Care (ESAIC) pre-operative fasting guideline, we aim to present aggregated and evidence-based summary recommendations to assist clinicians, healthcare providers, patients and parents. We identified six main topics for the literature search: studies comparing liberal with conservative regimens; impact of food composition; impact of comorbidity; the use of gastric ultrasound as a clinical tool; validation of gastric ultrasound for gastric content and gastric emptying studies; and early postoperative feeding. The literature search was performed by a professional librarian in collaboration with the ESAIC task force. Recommendations for reducing clear fluid fasting to 1 h, reducing breast milk fasting to 3 h, and allowing early postoperative feeding were the main results, with GRADE 1C or 1B evidence. The available evidence suggests that gastric ultrasound may be useful for clinical decision-making, and that allowing a 'light breakfast' may be well tolerated if the intake is well controlled. More research is needed in these areas as well as evaluation of how specific patient or treatment-related factors influence gastric emptying.

54 citations


Journal ArticleDOI
Reinis Osins1
TL;DR: In this paper , the authors used deep metagenomic sequencing and ultra-high-performance liquid chromatography linked to mass spectrometry for a detailed characterization of the gut microbiota and plasma metabolome, respectively, of 8583 participants invited at age 50 to 64 from the population-based Swedish CArdioPulmonary bioImage Study.
Abstract: Human gut microbiota produce a variety of molecules, some of which enter the bloodstream and impact health. Conversely, dietary or pharmacological compounds may affect the microbiota before entering the circulation. Characterization of these interactions is an important step towards understanding the effects of the gut microbiota on health. In this cross-sectional study, we used deep metagenomic sequencing and ultra-high-performance liquid chromatography linked to mass spectrometry for a detailed characterization of the gut microbiota and plasma metabolome, respectively, of 8583 participants invited at age 50 to 64 from the population-based Swedish CArdioPulmonary bioImage Study. Here, we find that the gut microbiota explain up to 58% of the variance of individual plasma metabolites and we present 997 associations between alpha diversity and plasma metabolites and 546,819 associations between specific gut metagenomic species and plasma metabolites in an online atlas ( https://gutsyatlas.serve.scilifelab.se/ ). We exemplify the potential of this resource by presenting novel associations between dietary factors and oral medication with the gut microbiome, and microbial species strongly associated with the uremic toxin p-cresol sulfate. This resource can be used as the basis for targeted studies of perturbation of specific metabolites and for identification of candidate plasma biomarkers of gut microbiota composition.

38 citations


Journal ArticleDOI
TL;DR: In this article, a hierarchical graph neural network is proposed to operate on the hierarchical entity-graph and map the tissue structure to tissue functionality, treating the tissue as a hierarchical composition of multiple types of histological entities from fine to coarse level.

37 citations


Journal ArticleDOI
TL;DR: In this article , the authors present temperature-dependent experiments and a theoretical model that captures all observations and provides spin polarization values that are consistent with the experimental results, including the vibrational contribution to the spin orbit coupling.
Abstract: The theoretical explanation for the chiral-induced spin selectivity effect, in which electrons’ passage through a chiral system depends on their spin and the handedness of the system, remains incomplete. Although most experimental work was performed at room temperature, most of the proposed theories did not include vibrations. Here, we present temperature-dependent experiments and a theoretical model that captures all observations and provides spin polarization values that are consistent with the experimental results. The model includes the vibrational contribution to the spin orbit coupling. It highlights the importance of dissipation and the relation between the effect and the optical activity. The model explains the main features related to the chiral-induced spin selectivity effect and provides a new framework for future calculations and experiments.

32 citations


Journal ArticleDOI
TL;DR: In this article , the authors present an update of the Second Assessment of Climate Change (BACC II) published in 2015 and focus on the atmosphere, land, cryosphere, ocean, sediments, and the terrestrial and marine biosphere.
Abstract: Abstract. Based on the Baltic Earth Assessment Reports of this thematic issue in Earth System Dynamics and recent peer-reviewed literature, current knowledge of the effects of global warming on past and future changes in climate of the Baltic Sea region is summarised and assessed. The study is an update of the Second Assessment of Climate Change (BACC II) published in 2015 and focuses on the atmosphere, land, cryosphere, ocean, sediments, and the terrestrial and marine biosphere. Based on the summaries of the recent knowledge gained in palaeo-, historical, and future regional climate research, we find that the main conclusions from earlier assessments still remain valid. However, new long-term, homogenous observational records, for example, for Scandinavian glacier inventories, sea-level-driven saltwater inflows, so-called Major Baltic Inflows, and phytoplankton species distribution, and new scenario simulations with improved models, for example, for glaciers, lake ice, and marine food web, have become available. In many cases, uncertainties can now be better estimated than before because more models were included in the ensembles, especially for the Baltic Sea. With the help of coupled models, feedbacks between several components of the Earth system have been studied, and multiple driver studies were performed, e.g. projections of the food web that include fisheries, eutrophication, and climate change. New datasets and projections have led to a revised understanding of changes in some variables such as salinity. Furthermore, it has become evident that natural variability, in particular for the ocean on multidecadal timescales, is greater than previously estimated, challenging our ability to detect observed and projected changes in climate. In this context, the first palaeoclimate simulations regionalised for the Baltic Sea region are instructive. Hence, estimated uncertainties for the projections of many variables increased. In addition to the well-known influence of the North Atlantic Oscillation, it was found that also other low-frequency modes of internal variability, such as the Atlantic Multidecadal Variability, have profound effects on the climate of the Baltic Sea region. Challenges were also identified, such as the systematic discrepancy between future cloudiness trends in global and regional models and the difficulty of confidently attributing large observed changes in marine ecosystems to climate change. Finally, we compare our results with other coastal sea assessments, such as the North Sea Region Climate Change Assessment (NOSCCA), and find that the effects of climate change on the Baltic Sea differ from those on the North Sea, since Baltic Sea oceanography and ecosystems are very different from other coastal seas such as the North Sea. While the North Sea dynamics are dominated by tides, the Baltic Sea is characterised by brackish water, a perennial vertical stratification in the southern subbasins, and a seasonal sea ice cover in the northern subbasins.

31 citations


Journal ArticleDOI
TL;DR: In this paper, experimental and numerical approaches are performed to explore the influence of scanning strategies on the microstructure, crystallographic texture as well as the mechanical behavior of Ti-6Al-4V alloy manufactured by Laser Powder Bed Fusion (LPBF).

27 citations


Journal ArticleDOI
Peter Baumann1
TL;DR: In this article , it was shown that physical insights can be used to uniquely fix the Compton amplitudes up to spin 5/2, by imposing a constraint on a three-point higher-spin current that is a necessary condition for the existence of an underlying unitary theory.
Abstract: A bstract Quantum scattering amplitudes for massive matter have received new attention in connection to classical calculations relevant to gravitational-wave physics. Amplitude methods and insights are now employed for precision computations of observables needed for describing the gravitational dynamics of bound massive objects such as black holes. An important direction is the inclusion of spin effects needed to accurately describe rotating (Kerr) black holes. Higher-spin amplitudes introduced by Arkani-Hamed, Huang and Huang at three points have by now a firm connection to the effective description of Kerr black-hole physics. The corresponding Compton higher-spin amplitudes remain however an elusive open problem. Here we draw from results of the higher-spin literature and show that physical insights can be used to uniquely fix the Compton amplitudes up to spin 5 / 2, by imposing a constraint on a three-point higher-spin current that is a necessary condition for the existence of an underlying unitary theory. We give the unique effective Lagrangians up to spin 5 / 2, and show that they reproduce the previously-known amplitudes. For the multi-graviton amplitudes analogous to the Compton amplitude, no further corrections to our Lagrangians are expected, and hence such amplitudes are uniquely predicted. As an essential tool, we introduce a modified version of the massive spinor-helicity formalism which allows us to conveniently obtain higher-spin states, propagators and compact expressions for the amplitudes.

Journal ArticleDOI
TL;DR: In this article , the authors summarized the different strategies to develop synthetic solid oxide sorbents and summarised the different approaches to synthesize solid oxides as possible high-temperature CO 2 sorbinants.
Abstract: Solid oxides have been extensively investigated as possible high-temperature CO 2 sorbents by a number of research groups. We summarised the different strategies to develop synthetic solid oxide sorbents.

Journal ArticleDOI
TL;DR: In this article , the authors highlight capabilities for in-situ and in-operando composition depth profiling and materials modification, developed with instrumentation at the Tandem Laboratory at Uppsala University.
Abstract: Abstract Ion accelerators have demonstrated tremendous versatility in their research applications throughout several decades. Starting predominantly as nuclear physics tools, they subsequently provided novel insights into fundamental atomic physics. Nowadays small and medium size accelerators are routinely employed in several branches of materials science. As research questions increasingly drive the need for analyses and material modification experiments performed in-situ and/or in-operando, facilities must adapt to service such a need. In this work, we highlight capabilities for in-situ and in-operando composition depth profiling and materials modification, developed with instrumentation at the Tandem Laboratory at Uppsala University. An overview of available ion sources and accelerators is given. We then exemplify the specific capabilities of the available end stations for materials synthesis, sample modification and device operation either during simultaneous ion beam based characterization or with such characterization performed in-situ before and after the application of various modification steps. Describing specific recent examples and potential future applications, we illustrate the impact of the present national research infrastructure.

Journal ArticleDOI
TL;DR: In this article, the authors summarize the current progress in engineering cyanobacteria and discuss the achieved and potential utilization of these advances for the production of the bulk chemical butanol, specifically isobutanol and 1-butanol.

Journal ArticleDOI
TL;DR: In this paper , the authors describe a simulation protocol developed by the Lake Sector of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) for simulating climate change impacts on lakes using an ensemble of lake models and climate change scenarios.
Abstract: Abstract. Empirical evidence demonstrates that lakes and reservoirs are warming across the globe. Consequently, there is an increased need to project future changes in lake thermal structure and resulting changes in lake biogeochemistry in order to plan for the likely impacts. Previous studies of the impacts of climate change on lakes have often relied on a single model forced with limited scenario-driven projections of future climate for a relatively small number of lakes. As a result, our understanding of the effects of climate change on lakes is fragmentary, based on scattered studies using different data sources and modelling protocols, and mainly focused on individual lakes or lake regions. This has precluded identification of the main impacts of climate change on lakes at global and regional scales and has likely contributed to the lack of lake water quality considerations in policy-relevant documents, such as the Assessment Reports of the Intergovernmental Panel on Climate Change (IPCC). Here, we describe a simulation protocol developed by the Lake Sector of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) for simulating climate change impacts on lakes using an ensemble of lake models and climate change scenarios for ISIMIP phases 2 and 3. The protocol prescribes lake simulations driven by climate forcing from gridded observations and different Earth system models under various representative greenhouse gas concentration pathways (RCPs), all consistently bias-corrected on a 0.5∘ × 0.5∘ global grid. In ISIMIP phase 2, 11 lake models were forced with these data to project the thermal structure of 62 well-studied lakes where data were available for calibration under historical conditions, and using uncalibrated models for 17 500 lakes defined for all global grid cells containing lakes. In ISIMIP phase 3, this approach was expanded to consider more lakes, more models, and more processes. The ISIMIP Lake Sector is the largest international effort to project future water temperature, thermal structure, and ice phenology of lakes at local and global scales and paves the way for future simulations of the impacts of climate change on water quality and biogeochemistry in lakes.

Journal ArticleDOI
G Sethunath1
TL;DR: In this article , asymptotic homogenization is used to identify constitutive tensors in rank four, five, and six tensors with the demonstrated computational approach, which is applicable to a wide class materials and makes use of open-source codes in FEniCS.

Journal ArticleDOI
TL;DR: In this paper , a review of the literature on parametrization of physics-based battery models from input-output data is presented, which includes sensitivity analyses, methods for parameter optimization, structural and practical identifiability analyses, design of experiments and methods for validation as well as the use of machine learning in parametric models.

Journal ArticleDOI
TL;DR: In this article, the authors introduce the efforts made using various analytical tools in combination with the multivariate analysis for the verification of the geographical origin of oils, and scientometric assessment that underlines research trends in geographical authentication and preferred journals used for dissemination has been indicated.

Journal ArticleDOI
TL;DR: In this article, a porous C2N monolayer-based glucose sensor was proposed to detect the sugar molecules (glucose, fructose, and xylose) by employing the van der Waals interactions corrected first-principles density functional theory and non-equilibrium Green's function methods.

Journal ArticleDOI
TL;DR: In this paper , the authors investigated the impact of the COVID-19 pandemic as well as the effects of respondent and work-related characteristics on seafarers' self-reported symptoms of depression and anxiety.

Journal ArticleDOI
TL;DR: In this article, the chemoresistive sensor response of nanoporous NiO films prepared by advanced gas deposition was investigated by combined resistivity and in situ FTIR spectroscopy, with and without simultaneous light illumination, to detect NO2 and acetone gases.
Abstract: The chemoresistive sensor response of nanoporous NiO films prepared by advanced gas deposition was investigated by combined resistivity and in situ FTIR spectroscopy, with and without simultaneous light illumination, to detect NO2 and acetone gases. The sensitivity towards NO2 increased dramatically under UV irradiation employing 275 nm light. Improved sensitivity was observed at an elevated temperature of 150 °C. In situ FTIR measurements were performed to record the transient gas adsorption/desorption processes. The sustained sensitivity and repeatability for NO2 sensing could be attributed to reversible surface-nitro and nitrate species formation, which are stable on the surface at relative humidity up to 40%. In contrast, acetone sensing results in irreversible decomposition and accumulation of reaction products on the NiO sensor surface, covering the surface and limiting gas sensing. Implications of the study for improved and sustained NiO gas sensor properties in gas mixtures are discussed.

Journal ArticleDOI
TL;DR: In this article, the authors argue that the transaction attributes of asset specificity, transaction uncertainty, and transaction frequency have all changed fundamentally in digital platform-based transactions and make curvilinear moderating hypotheses.

Journal ArticleDOI
TL;DR: In this article, the authors investigated the impact of the COVID-19 pandemic as well as the effects of respondent and work-related characteristics on seafarers' self-reported symptoms of depression and anxiety.

Journal ArticleDOI
TL;DR: In this paper, a rapid and sensitive SERS method for detecting Pb2+ in food was established by aptamer regulating gold nanoparticles reduction, which enabled the system to generate AuNPs with high Raman activity.

Journal ArticleDOI
Xiang Li1
TL;DR: In this paper , the authors introduce cutting-edge blockchain technologies from four directions: blockchain system, consensus algorithms, smart contract, and scalability, and analyze the current lack of consensus mechanism, fault tolerance and block capacity of the blockchain, and the integration of blockchain into 5G/6G mobile communication.

Journal ArticleDOI
TL;DR: In this paper, the empirical relationship between stacking fault energy (SFE) and the prevalent deformation mechanism in Cr-Co-Ni solid solution alloys was revisited and the critical boundaries between various deformation modes in the model were established.

Journal ArticleDOI
TL;DR: In this paper , the authors investigated the factors that drive an innovation network formation comprising companies, government, and society, and the ways these actors contribute and collaborate within a network to develop technologies that have a social impact.
Abstract: This study investigates the factors that drive an innovation network formation comprising companies, government, and society, and the ways these actors contribute and collaborate within a network to develop technologies that have a social impact. A conceptual framework has been developed by combining literature-based arguments and insights from two cases of smart city innovation. This study demonstrates that the innovation network is driven by the activities of searching, acting, and convincing actors of an opportunity to develop smart city solutions. The findings also show that innovation networks emerge not solely from a business goal, but also from a social goal and can still generate business opportunities for companies. Therefore, innovation for smart cities specifically requires a new form of configuration (public–private and citizens’ participation), drivers (economic and social), and resources (technological and non-technological) in both its development and implementation. The analysis of the different configurations suggests more/less effective innovation.

Journal ArticleDOI
TL;DR: In this article, the authors investigated the factors that drive an innovation network formation comprising companies, government, and society, and the ways these actors contribute and collaborate within a network to develop technologies that have a social impact.

Journal ArticleDOI
01 Jan 2022-Cytokine
TL;DR: In this article, TNFalpha receptors in their soluble form (sTNFR) are involved in the immune cascade in other systemic inflammatory processes such as septic shock, and could mediate the inflammatory activation of distant organs.

Journal ArticleDOI
TL;DR: In this article, the authors employed an integrated computational scheme that combines density functional theory with the evolutional algorithm to search for the favorable structures of P and S-glued ternary borides terminated by Nb metal.