Fungal Planet description sheets: 1284–1382

Novel species of fungi described in this study include those from various countries as follows: Antartica, Cladosporium austrolitorale from coastal sea sand. Australia, Austroboletus yourkae on soil, Crepidotus innuopurpureus on dead wood, Curvularia stenotaphri from roots and leaves of Stenotaphrum secundatum and Thecaphora stajsicii from capsules of Oxalis radicosa. Belgium, Paraxerochrysium coryli (incl. Paraxerochrysium gen. nov.) from Corylus avellana. Brazil, Calvatia nordestina on soil, Didymella tabebuiicola from leaf spots on Tabebuia aurea, Fusarium subflagellisporum from hypertrophied floral and vegetative branches of Mangifera indica and Microdochium maculosum from living leaves of Digitaria insularis. Canada, Cuphophyllus bondii fromagrassland. Croatia, Mollisia inferiseptata from a rotten Laurus nobilis trunk. Cyprus, Amanita exilis oncalcareoussoil. Czech Republic, Cytospora hippophaicola from wood of symptomatic Vaccinium corymbosum. Denmark, Lasiosphaeria deviata on pieces of wood and herbaceousdebris. Dominican Republic, Calocybella goethei among grass on a lawn. France (Corsica) , Inocybe corsica onwetground. France (French Guiana) , Trechispora patawaensis on decayed branch of unknown angiosperm tree and Trechispora subregularis on decayed log of unknown angiosperm tree. Germany, Paramicrothecium sambuci (incl. Paramicrothecium gen. nov.)ondeadstemsof Sambucus nigra. India, Aureobasidium microtermitis from the gut of a Microtermes sp. termite, Laccaria diospyricola on soil and Phylloporia tamilnadensis on branches of Catunaregam spinosa. Iran, Pythium serotinoosporum from soil under Prunus dulcis. Italy, Pluteus brunneovenosus on twigs of broad leaved trees on the ground. Japan, Heterophoma rehmanniae on leaves of Rehmannia glutinosa f. hueichingensis. Kazakhstan, Murispora kazachstanica from healthy roots of Triticum aestivum. Namibia, Caespitomonium euphorbiae (incl. Caespitomonium gen. nov.)from stems of an Euphorbia sp. Netherlands, Alfaria junci, Myrmecridium junci, Myrmecridium juncicola, Myrmecridium juncigenum, Ophioceras junci, Paradinemasporium junci (incl. Paradinemasporium gen. nov.), Phialoseptomonium junci, Sporidesmiella juncicola, Xenopyricularia junci and Zaanenomyces quadripartis (incl. Zaanenomyces gen. nov.), fromdeadculmsof Juncus effusus, Cylindromonium everniae and Rhodoveronaea everniae from Evernia prunastri, Cyphellophora sambuci and Myrmecridium sambuci from Sambucus nigra, Kiflimonium junci, Saro cladium junci, Zaanenomyces moderatricis academiae and Zaanenomyces versatilis from dead culms of Juncus inflexus, Microcera physciae from Physcia tenella, Myrmecridium dactylidis from dead culms of Dactylis glomerata, Neochalara spiraeae and Sporidesmium spiraeae from leaves of Spiraea japonica, Neofabraea salicina from Salix sp., Paradissoconium narthecii (incl. Paradissoconium gen. nov.)from dead leaves of Narthecium ossifragum, Polyscytalum vaccinii from Vaccinium myrtillus, Pseudosoloacrosporiella cryptomeriae (incl. Pseudosoloacrosporiella gen. nov.)fromleavesof Cryptomeria japonica, Ramularia pararhabdospora from Plantago lanceolata, Sporidesmiella pini from needles of Pinus sylvestris and Xenoacrodontium juglandis (incl. Xenoacrodontium gen. nov. and Xenoacrodontiaceae fam. nov.)from Juglans regia. New Zealand, Cryptometrion metrosideri from twigs of Metrosideros sp., Coccomyces pycnophyllocladi from dead leaves of Phyllocladus alpinus, Hypoderma aliforme from fallen leaves Fuscopora solandri and Hypoderma subiculatum from dead leaves Phormium tenax. Norway, Neodevriesia kalakoutskii from permafrost and Variabilispora viridis from driftwood of Picea abies. Portugal, Entomortierella hereditatis from abio film covering adeteriorated limestone wall. Russia, Colpoma junipericola from needles of Juniperus sabina, Entoloma cinnamomeum on soil in grasslands, Entoloma verae on soil in grasslands, Hyphodermella pallidostraminea on a dry dead branch of Actinidia sp., Lepiota sayanensis onlitterinamixedforest, Papiliotrema horticola from Malus communis , Paramacroventuria ribis (incl. Paramacroventuria gen. nov.)fromleaves of Ribes aureum and Paramyrothecium lathyri from leaves of Lathyrus tuberosus. South Africa, Harzia combreti from leaf litter of Combretum collinum ssp. sulvense, Penicillium xyleborini from Xyleborinus saxesenii , Phaeoisaria dalbergiae from bark of Dalbergia armata, Protocreopsis euphorbiae from leaf litter of Euphorbia ingens and Roigiella syzygii from twigs of Syzygium chordatum. Spain, Genea zamorana on sandy soil, Gymnopus nigrescens on Scleropodium touretii, Hesperomyces parexochomi on Parexochomus quadriplagiatus, Paraphoma variabilis from dung, Phaeococcomyces kinklidomatophilus from a blackened metal railing of an industrial warehouse and Tuber suaveolens in soil under Quercus faginea. Svalbard and Jan Mayen, Inocybe nivea associated with Salix polaris. Thailand, Biscogniauxia whalleyi oncorticatedwood. UK, Parasitella quercicola from Quercus robur. USA , Aspergillus arizonicus from indoor air in a hospital, Caeliomyces tampanus (incl. Caeliomyces gen. nov.)fromoffice dust, Cippumomyces mortalis (incl. Cippumomyces gen. nov.)fromatombstone, Cylindrium desperesense from air in a store, Tetracoccosporium pseudoaerium from air sample in house, Toxicocladosporium glendoranum from air in a brick room, Toxicocladosporium losalamitosense from air in a classroom, Valsonectria portsmouthensis from airinmen'slockerroomand Varicosporellopsis americana from sludge in a water reservoir. Vietnam, Entoloma kovalenkoi on rotten wood, Fusarium chuoi inside seed of Musa itinerans , Micropsalliota albofelina on soil in tropical evergreen mixed forest sand Phytophthora docyniae from soil and roots of Docynia indica. Morphological and culture characteristics are supported by DNA barcodes

Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group.

Bipolar disorders (BDs) are among the leading causes of morbidity and disability. Objective biological markers, such as those based on brain imaging, could aid in clinical management of BD. Machine learning (ML) brings neuroimaging analyses to individual subject level and may potentially allow for their diagnostic use. However, fair and optimal application of ML requires large, multi-site datasets. We applied ML (support vector machines) to MRI data (regional cortical thickness, surface area, subcortical volumes) from 853 BD and 2167 control participants from 13 cohorts in the ENIGMA consortium. We attempted to differentiate BD from control participants, investigated different data handling strategies and studied the neuroimaging/clinical features most important for classification. Individual site accuracies ranged from 45.23% to 81.07%. Aggregate subject-level analyses yielded the highest accuracy (65.23%, 95% CI = 63.47-67.00, ROC-AUC = 71.49%, 95% CI = 69.39-73.59), followed by leave-one-site-out cross-validation (accuracy = 58.67%, 95% CI = 56.70-60.63). Meta-analysis of individual site accuracies did not provide above chance results. There was substantial agreement between the regions that contributed to identification of BD participants in the best performing site and in the aggregate dataset (Cohen's Kappa = 0.83, 95% CI = 0.829-0.831). Treatment with anticonvulsants and age were associated with greater odds of correct classification. Although short of the 80% clinically relevant accuracy threshold, the results are promising and provide a fair and realistic estimate of classification performance, which can be achieved in a large, ecologically valid, multi-site sample of BD participants based on regional neurostructural measures. Furthermore, the significant classification in different samples was based on plausible and similar neuroanatomical features. Future multi-site studies should move towards sharing of raw/voxelwise neuroimaging data

Measurement of forward charged hadron flow harmonics in peripheral PbPb collisions at √sNN = 5.02 TeV with the LHCb detector

Flow harmonic coefficients, v n , which are the key to studying the hydrodynamics of the quark-gluon plasma (QGP) created in heavy-ion collisions, have been measured in various collision systems and kinematic regions and using various particle species. The study of flow harmonics in a wide pseudorapidity range is particularly valuable to understand the temperature dependence of the shear viscosity to entropy density ratio of the QGP. This paper presents the first LHCb results of the second- and the third-order flow harmonic coefficients of charged hadrons as a function of transverse momentum in the forward region, corresponding to pseudorapidities between 2.0 and 4.9, using the data collected from PbPb collisions in 2018 at a center-of-mass energy of 5.02 TeV . The coefficients measured using the two-particle angular correlation analysis method are smaller than the central-pseudorapidity measurements at ALICE and ATLAS from the same collision system but share similar features

Helium identification with LHCb

The identification of helium nuclei at LHCb is achieved using a method based on measurements of ionisation losses in the silicon sensors and timing measurements in the Outer Tracker drift tubes. The background from photon conversions is reduced using the RICH detectors and an isolation requirement. The method is developed using pp collision data at √(s) = 13 TeV recorded by the LHCb experiment in the years 2016 to 2018, corresponding to an integrated luminosity of 5.5 fb-1. A total of around 105 helium and antihelium candidates are identified with negligible background contamination. The helium identification efficiency is estimated to be approximately 50% with a corresponding background rejection rate of up to O(10^12). These results demonstrate the feasibility of a rich programme of measurements of QCD and astrophysics interest involving light nuclei

Study of the doubly charmed tetraquark T+cc

Quantum chromodynamics, the theory of the strong force, describes interactions of coloured quarks and gluons and the formation of hadronic matter. Conventional hadronic matter consists of baryons and mesons made of three quarks and quark-antiquark pairs, respectively. Particles with an alternative quark content are known as exotic states. Here a study is reported of an exotic narrow state in the D0D0π+ mass spectrum just below the D*+D0 mass threshold produced in proton-proton collisions collected with the LHCb detector at the Large Hadron Collider. The state is consistent with the ground isoscalar T+cc tetraquark with a quark content of ccu⎯⎯⎯d⎯⎯⎯ and spin-parity quantum numbers JP = 1+. Study of the DD mass spectra disfavours interpretation of the resonance as the isovector state. The decay structure via intermediate off-shell D*+ mesons is consistent with the observed D0π+ mass distribution. To analyse the mass of the resonance and its coupling to the D*D system, a dedicated model is developed under the assumption of an isoscalar axial-vector T+cc state decaying to the D*D channel. Using this model, resonance parameters including the pole position, scattering length, effective range and compositeness are determined to reveal important information about the nature of the T+cc state. In addition, an unexpected dependence of the production rate on track multiplicity is observed

Coffee Crop Management Zone Delimitation Using Chlorophyll Index And Leaf Analysis [geração De Zonas De Manejo Para Cafeicultura Empregando-se Sensor Spad E Análise Foliar]

The objective of this work was to define management zones for fertilizer application in coffee crop by using the K-means and the Fuzzy C-Means methods. The data used to define management zones were the chlorophyll index measured by SPAD sensor and the nutritional coffee leaf analysis performed in laboratory. The study was conducted in Jatoba Farm, located in Paula Candido, Minas Gerais state, Brazil. The data was collected in November, 2007 when the coffee fruits were starting their development. The coffee variety was Coffea arabica Catuai, and the total analyzed area was 2.1 ha. The management zones were generated using different set of data: the SPAD values; the N, P and K leaf concentrations; the N and Ca leaf concentrations; the N, Zn and B leaf concentrations; the N, P, K, Ca and S leaf concentrations; and the N, Ca and S leaf concentrations. The management zones generated by using K-means and Fuzzy C-Means did not present difference in management zone delimitation. The management zones defined by using the SPAD values were different from the ones generated by using leaf analysis.158778787Ateca, M.R., Sereno, R., Apezteguía, H., Zonificacion de una superficie cultivada com soja segun aspectos fenométricos y consumo de agua del suelo (2001) Revista Brasileira De Agrometeorologia, 9, pp. 111-116Brock, A., Brouder, S.M., Blumhoff, G., Hofmann, B.S., Defining yield-based management zones for corn-soybean rotations (2005) Agronomy Journal, 97, pp. 1115-1128Diker, K., Heerman, D.F., Brodahl, M.K., Frequency analysis of yield for delineating yield response zones (2004) Precision Agriculture, 5, pp. 435-444Doerge, T., Management zone concepts. 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Efeitos Da Irrigação Sobre a Qualidade E Produtividade Do Café, 3, pp. 77-108. , Viçosa: Editora UFVSantos, A.O., Pallone Filho, W.J., Ungaro, M.R.G., Lino, A.C.L., Radin, B., Prospecção de zonas potenciais para manejo diferenciado em agricultura de precisão utilizando-se padrões de solo-planta-clima (2003) Revista Brasileira De Engenharia Agrícola E Ambiental, 7, pp. 463-468Schepers, A.R., Shanahan, J.F., Liebig, M.A., Schepers, J.S., Johnson, S.H., Luchiaro, A., Appropriateness of management zones for characterizing spatial variability of soil properties and irrigated corn yields across years (2005) Agronomy Journal, 96, pp. 195-203Simbahan, G.C., Dobermann, A., Sampling optimizati on basedon secondary information and its utilization in soil carbon mapping (2006) Geoderma, 133, pp. 345-362Stewart, C.M., McBratney, A.B., (2001) Using Bare Soil Imagery to Determine Management Zones For the Variable-rate Application of Inputs For Cotton, pp. 319-324. , In: Grenier, G.Blackmore, S. Proceedings of the 3rd European Conference on Precision Agriculture. Montpellier: Agro-Montpellier ENSAMTaylor, J.A., McBratney, A.B., Ciavarella, R., (2002) Predicting and Mapping Winegrape Quality From Multiple Must Properties, pp. 614-623. , In: Robert, P. C.Rust, R. H.Larson, W. E. Proceedings of the 6th International Conference on Precision Agriculture. Minneapolis: ASA, CSSA, SSSA, Madison, WITaylor, J.A., McBratney, A.B., Whelan, B.M., Establishing management classes for broadacre agricultural production (2007) Agronomy Journal, 99, pp. 1366-1376Taylor, J.C., Wood, G.A., Earl, R., Godwin, R.J., Soil factors and their Inûuence on Within-ûeld Crop Variability, Part II: Spatial Analysis and Determination of Management Zones (2003) Biosystems Engineering, 4, pp. 441-453Vrindts, E., Mouazen, A.M., Reyniers, M., Maertens, K., Maleki, M.R., Ramon, H., Baerdemaeker, J., Management Zones based on correlation between soil compaction, yield and crop data (2005) Biosystems Engineering, 92, pp. 419-428Windham, M.P., Cluster validity c-means for fuzzy clustering algorithm (1982) IEEE Transactions. Pattern Analyses Machine Intelligence, 4, pp. 354-363Whelan, B.M., Cupitt, J., McBratney, A.B., (2002) Practical Definition and Interpretation of Potential Management Zones In Australian Dryland Cropping, pp. 315-329. , In: Robert, P. C.Rust, R. H.Larson, W. E. Proceedings of the 6th International Conference on Precision Agriculture. Minneapolis: ASA, CSSA, SSSA, Madison, WIWong, M.T.F., Asseng, S., Robertson, M.J., Oliver, Y., Mapping subsoil acidity and shallow soil across a field with information from yield maps, geophysical sensing and the grower (2008) Precision Agriculture, 9, pp. 3-15Yan, L., Zhou, S., Feng, L., Hong-Yi, L., Delineation of sitespecific management zones using fuzzy clustering analysis in a coastal saline land (2007) Computers and Electronics In Agriculture, pp. 174-186Yonamine, F.S., Specia, L., Carvalho, V.O., Nicoletti, M.C., (2002) Aprendizado Não Supervisionado Em Domínios Fuzzy - Algoritmo Fuzzy C-means, p. 18. , São Carlos: UFSCARZimback, C.R.L., (2001) Análise Espacial De Atributos Químicos De Solos Para Fins De Mapeamento Da Fertilidade, p. 114. , Botucatu: FCA/UNESP, Tese Livre-Docênci