Colloidal Nanocrystals Embedded in Macrocrystals: Robustness, Photostability, and Color Purity

Cataloged from PDF version of article.The incorporation of colloidal quantum dots (QDs) into ionic crystals of various salts (NaCl, KCl, KBr, etc.) is demonstrated. The resulting mixed crystals of various shapes and beautiful colors preserve the strong luminescence of the incorporated QDs. Moreover, the ionic salts appear to be very tight matrices, ensuring the protection of the QDs from the environment and as a result providing them with extraordinary high photo- and chemical stability. A prototype of a white light-emitting diode (WLED) with a color conversion layer consisting of this kind of mixed crystals is demonstrated. These materials may also find applications in nonlinear optics and as luminescence standards

Ureteroarterial Fistula

Ureteral-iliac artery fistula (UIAF) is a rare life threatening cause of hematuria. The increasing frequency is attributed to increasing use of ureteral stents. A 68-year-old female presented with gross hematuria. She had prior low anterior resection for rectal cancer and a retained ureteral stent. CT abdomen and pelvis showed a large recurrent pelvic mass and a retained stent. The patient underwent cystoscopy which showed a normal bladder. Upon removal of the stent, brisk bleeding was noted coming from the ureteral orifice. Antegrade pyelogram was done which revealed a UIAF. Angiography was done and a covered stent was placed. Multiple treatment options are available. All must consider management of the arterial and ureteral side. The arterial side may be addressed by primary open repair, embolization with extra-anatomic vascular reconstruction, or endovascular stenting. The ureter can be managed with nephroureterectomy, ureteral reconstruction, placement of a nephrostomy tube, or ureteral stenting. Being minimally invasive, we believe that endovascular stenting should be the preferred therapeutic option as it also corrects the source of bleeding while preserving distal blood flow

Machine learning on normalized protein sequences

<p>Abstract</p> <p>Background</p> <p>Machine learning techniques have been widely applied to biological sequences, e.g. to predict drug resistance in HIV-1 from sequences of drug target proteins and protein functional classes. As deletions and insertions are frequent in biological sequences, a major limitation of current methods is the inability to handle varying sequence lengths.</p> <p>Findings</p> <p>We propose to normalize sequences to uniform length. To this end, we tested one linear and four different non-linear interpolation methods for the normalization of sequence lengths of 19 classification datasets. Classification tasks included prediction of HIV-1 drug resistance from drug target sequences and sequence-based prediction of protein function. We applied random forests to the classification of sequences into "positive" and "negative" samples. Statistical tests showed that the linear interpolation outperforms the non-linear interpolation methods in most of the analyzed datasets, while in a few cases non-linear methods had a small but significant advantage. Compared to other published methods, our prediction scheme leads to an improvement in prediction accuracy by up to 14%.</p> <p>Conclusions</p> <p>We found that machine learning on sequences normalized by simple linear interpolation gave better or at least competitive results compared to state-of-the-art procedures, and thus, is a promising alternative to existing methods, especially for protein sequences of variable length.</p

Global patterns in endemicity and vulnerability of soil fungi

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

Global patterns in endemicity and vulnerability of soil fungi

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

Connecting the multiple dimensions of global soil fungal diversity

15 páginas.- 5 figuras.- 99 referenciasHow 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.This work was supported by the Estonian Science Foundation: PRG632 (to L.T.), Estonian Research Council: PRG1615 (to R.D.), Estonian Research Council: PRG1170 (to U.K. and Ka.Po.), Estonian Science Foundation: MOBTP198 (to St.An.), Novo Nordisk Fonden: NNF20OC0059948 (to L.T.), Norway-Baltic financial mechanism: EMP442 (to L.T., K.-A.B., and M.T.), King Saud University: DFSP-2020-2 (to L.T.), King Saud University: Highly Cited Program (to L.T.), European Regional Development Fund: Centre of Excellence EcolChange TK131 (to M.O., M.Z., Ü.M., U.K., and M.E.), Estonian Research Council: PRG1789 (to M.O. and I.H.), British Ecological Society: LRB17\1019 (MUSGONET) (to M.D.-B.), Spanish Ministry of Science and Innovation: PID2020-115813RA-I00 (to M.D.-B.), Spanish Ministry of Science and Innovation: SOIL4GROWTH (to M.D.-B.), Marie Sklodowska-Curie: 702057 (CLIMIFUN) (to M.D.- B.), European Research Council (ERC): grant 647038 [BIODESERT] (to F.T.M.), Generalitat Valenciana: CIDEGENT/2018/041 (to F.T.M.), Spanish Ministry of Science and Innovation: EUR2022-134048 (to F.T.M.), Estonian Research Council: PRG1065 (to M.M. and M.Z.), Swedish Research Council Formas: 2020-00807 (to Mo.Ba.), Swedish Research Council: 2019-05191 (to Al. An.), Swedish Foundation for Strategic Environmental Research MISTRA: Project BioPath (to Al. An.), Kew Foundation (to Al.An.), EEA Financial Mechanism Baltic Research Programme in Estonia: EMP442 (to Ke.Ar. and Je.An.), Ghent University Special Research Fund (BOF): Metusalem (to N.S.), Estonian Research Council: PSG825 (to K.R.), European Research Council (ERC): 101096403 (MLTOM23415R) (to Ü.M.), European Regional Development Fund (ERDF): 1.1.1.2/VIAA/2/18/298 (to D.K.), Estonian Research Council: PUT1170 (to I.H.), German Federal Ministry of Education and Research (BMBF): 01DG20015FunTrAf (to K.T.I., M.P., and N.Y.), Proyecto SIA: SA77210019 (ANID—Chile) (to C.M.), Fondecyt: 1190642 (ANID—Chile) (to R.G.), European Research Council (ERC): Synergy Grant 856506—LIFEPLAN (to T.R.), Academy of Finland: grant 322266 (to T.R.), U.S. National Science Foundation: DEB-0918591 (to T.H.), U.S. National Science Foundation: DEB-1556338 (to T.H.), U.S. National Science Foundation: DEB 1737898 (to G.B.), UNAM-PAPIIT: IV200223 (to R.G.-O.), Czech Science Foundation: 21-26883S (to J.D.), Estonian Research Council: PRG352 (to M.E.), NERC core funding: the BAS Biodiversity, Evolution and Adaptation Team (to K.K.N.), NERC-CONICYT: NE/P003079/1 (to E.M.B.), Carlsberg Foundation: CF18-0267 (to E.M.B.), Qatar Petroleum: QUEX-CAS-QP-RD-18/19 (to Ju.Al.), Russian Ministry of Science and Higher Education: 075-15-2021-1396 (to V.F. and V.O.), Secretaria de Ciencia y Técnica (SECYT) of Universidad Nacional de Córdoba and CONICET (to E.N.), HighLevel Talent Recruitment Plan of Yunnan Province 2021:“High-End Foreign Experts” (to Pe.Mo.), AUA grant from research council of UAE University: G00003654 (to S.M.), Ghent University: Bijzonder Onderzoeksfonds (to A.V.), Ghent University: Bijzonder Onderzoeksfonds (BOF-PDO2017-001201) (to E.D.C.), Ghent University: The Faculty Committee Scientific Research, FCWO (to E.D.C. and A.V.), The King Leopold III Fund for Nature Exploration and Conservation (to A.V. and E.D.C.), The Research Foundation—Flanders (FWO) (to E.D.C. and A.V.), The High-Level Talent Recruitment Plan of Yunnan Provinces: “Young Talents” Program (to D.-Q.D.), The HighLevel Talent Recruitment Plan of Yunnan Provinces: “High-End Foreign Experts" Program (to N. N.W.), IRIS scholarship for progressive and ambitious women (to L.H.), Estonian University of Life Sciences: P190250PKKH (to Kr.Pa.), Hungarian Academy of Sciences: Lendület Programme (96049) (to J.G.), Eötvös Loránd Research Network (to J.G.), Botswana International University of Science and Technology (to C.N.), and Higher Education Commision (HEC, Islamabad, Pakistan): Indigenous and International research support initiative program (IRSIP) scholarship (to M.S.)Peer reviewe