| 1. |
- Dutta, Subhajit, et al.
(författare)
-
Three-in-One C2H2-Selectivity-Guided Adsorptive Separation across an Isoreticular Family of Cationic Square-Lattice MOFs
- 2021
-
Ingår i: Angewandte Chemie - International Edition. - : Wiley. - 1433-7851 .- 1521-3773.
-
Tidskriftsartikel (refereegranskat)abstract
- Energy-efficient selective physisorption driven C2H2 separation from industrial C2-C1 impurities such as C2H4, CO2 and CH4 is of great importance in the purification of downstream commodity chemicals. We address this challenge employing a series of isoreticular cationic metal-organic frameworks, namely iMOF-nC (n=5, 6, 7). All three square lattice topology MOFs registered higher C2H2 uptakes versus the competing C2-C1 gases (C2H4, CO2 and CH4). Dynamic column breakthrough experiments on the best-performing iMOF-6C revealed the first three-in-one C2H2 adsorption selectivity guided separation of C2H2 from 1:1 C2H2/CO2, C2H2/C2H4 and C2H2/CH4 mixtures. Density functional theory calculations critically examined the C2H2 selective interactions in iMOF-6C. Thanks to the abundance of square lattice topology MOFs, this study introduces a crystal engineering blueprint for designing C2H2-selective layered metal-organic physisorbents, previously unreported in cationic frameworks.
|
|
| 2. |
|
|
| 3. |
- Kwon, Bum Chul, et al.
(författare)
-
DPVis : Visual Analytics with Hidden Markov Models for Disease Progression Pathways
- 2021
-
Ingår i: IEEE Transactions on Visualization and Computer Graphics. - 1077-2626. ; 27:9, s. 3685-3700
-
Tidskriftsartikel (refereegranskat)abstract
- Clinical researchers use disease progression models to understand patient status and characterize progression patterns from longitudinal health records. One approach for disease progression modeling is to describe patient status using a small number of states that represent distinctive distributions over a set of observed measures. Hidden Markov models (HMMs) and its variants are a class of models that both discover these states and make inferences of health states for patients. Despite the advantages of using the algorithms for discovering interesting patterns, it still remains challenging for medical experts to interpret model outputs, understand complex modeling parameters, and clinically make sense of the patterns. To tackle these problems, we conducted a design study with clinical scientists, statisticians, and visualization experts, with the goal to investigate disease progression pathways of chronic diseases, namely type 1 diabetes (T1D), Huntington's disease, Parkinson's disease, and chronic obstructive pulmonary disease (COPD). As a result, we introduce DPVis which seamlessly integrates model parameters and outcomes of HMMs into interpretable and interactive visualizations. In this study, we demonstrate that DPVis is successful in evaluating disease progression models, visually summarizing disease states, interactively exploring disease progression patterns, and building, analyzing, and comparing clinically relevant patient subgroups.
|
|
| 4. |
- Mikryukov, Vladimir, et al.
(författare)
-
Connecting the multiple dimensions of global soil fungal diversity
- 2023
-
Ingår i: Science advances. - 2375-2548. ; 9:48
-
Tidskriftsartikel (refereegranskat)abstract
- How the multiple facets of soil fungal diversity vary worldwide remains virtually unknown, hindering the management of this essential species-rich group. By sequencing high-resolution DNA markers in over 4000 topsoil samples from natural and human-altered ecosystems across all continents, we illustrate the distributions and drivers of different levels of taxonomic and phylogenetic diversity of fungi and their ecological groups. We show the impact of precipitation and temperature interactions on local fungal species richness (alpha diversity) across different climates. Our findings reveal how temperature drives fungal compositional turnover (beta diversity) and phylogenetic diversity, linking them with regional species richness (gamma diversity). We integrate fungi into the principles of global biodiversity distribution and present detailed maps for biodiversity conservation and modeling of global ecological processes.
|
|
| 5. |
- Soumya, C., et al.
(författare)
-
Probing muonic charged current nonstandard interactions at decay-at-rest facilities in conjunction with T2HK
- 2020
-
Ingår i: Physical Review D. - : American Physical Society. - 2470-0010 .- 2470-0029. ; 101:5
-
Tidskriftsartikel (refereegranskat)abstract
- The muon decay-at-rest (mu-DAR) facility provides us with an ideal platform to probe purely muonic charged-current nonstandard neutrino interactions (NSIs). We propose to probe this class of NSI effects using antineutrinos from a mu-DAR source in conjunction with neutrinos from the future Tokai to Kamioka superbeam experiment with megaton hyper Kamiokande detector (T2HK). Even though muonic NSIs are absent in neutrino production at T2HK, we show that our proposed hybrid setup comprising mu-DAR and T2HK helps in alleviating the parameter degeneracies that can arise in data. Analytic considerations reveal that the oscillation probability is most sensitive to the NSI parameter in the mu-e sector. For this parameter, we show that the mu-DAR setup can improve on the existing bounds down to around 0.01, especially when the data are combined with neutrino data from T2HK experiment due to the lifting of parameter degeneracies. The high precision with which mu-DAR can measure delta(CP) is shown to be robust even in the presence of the considered NSIs. Finally, we show that the combination of mu-DAR along with T2HK can also be used to put mild constraints on the NSI phase in the vicinity of the maximal CP-violating value, for the chosen benchmark value of epsilon(mu e)(mu e) = 0.01.
|
|
| 6. |
- Tedersoo, Leho, et al.
(författare)
-
Global patterns in endemicity and vulnerability of soil fungi.
- 2022
-
Ingår i: Global change biology. - : Wiley. - 1365-2486 .- 1354-1013. ; 28:22, s. 6696-6710
-
Tidskriftsartikel (refereegranskat)abstract
- Fungi are highly diverse organisms, which provide multiple ecosystem services. However, compared with charismatic animals and plants, the distribution patterns and conservation needs of fungi have been little explored. Here, we examined endemicity patterns, global change vulnerability and conservation priority areas for functional groups of soil fungi based on six global surveys using a high-resolution, long-read metabarcoding approach. We found that the endemicity of all fungi and most functional groups peaks in tropical habitats, including Amazonia, Yucatan, West-Central Africa, Sri Lanka, and New Caledonia, with a negligible island effect compared with plants and animals. We also found that fungi are predominantly vulnerable to drought, heat and land-cover change, particularly in dry tropical regions with high human population density. Fungal conservation areas of highest priority include herbaceous wetlands, tropical forests, and woodlands. We stress that more attention should be focused on the conservation of fungi, especially root symbiotic arbuscular mycorrhizal and ectomycorrhizal fungi in tropical regions as well as unicellular early-diverging groups and macrofungi in general. Given the low overlap between the endemicity of fungi and macroorganisms, but high conservation needs in both groups, detailed analyses on distribution and conservation requirements are warranted for other microorganisms and soil organisms.
|
|
