101,308 research outputs found
Neohormodochis D. P. Wei & K. D. Hyde 2022, gen. nov.
No full textNeohormodochis D.P.Wei & K.D.Hyde, gen. nov. Index Fungorum number: IF559771 Faces of Fungi number: FoF12297 Etymology: The epithet refers to the close phylogenetic relationship with Hormodochis. Type species: Neohormodochis septispora D. P. Wei and K. D. Hyde, sp. nov. Saprobic on dead twigs. Sexual morph: Undetermined. Asexual morph: Conidiomata perithecial, immersed, conical to subglobose, gregarious, white-pruinose. Conidiomatal wall consisting of hyaline, intricate hyphae, encompassed with crystalline substances. Conidiophores reduced to conidiogenous cells. Conidiogenous cells holoblastic, hyaline, cylindrical, developing from hyphae of conidiomatal wall. Conidia hyaline, ellipsoidal, twocelled, occasionaly asepate, slightly curved, forming branched chains. Notes: Neohormodochis was introduced to accommodate the new species N. septispora which was found on dead twigs in Yunnan Province, China. The new species nested with Hormodochis as a sister clade. Hormodochis is known from three asexual morphic species viz. H. aggregata, H. eucalypti and H. melanochlora. All three species have non-pruinose conidiomata, non-crystalline conidiomatal wall of thin-walled, brown textura angularis, holothallic conidiogenous cells with upper cells becoming fertile, septate and disarticulating into arthroconidia. The arthroconidia are olivaceous brown, aseptate, subcylindrical to somewhat doliiform, with truncate ends (Crous et al. 2020a). However, Neohormodochis septispora produces white-pruinose conidiomata, crystalline conidiomatal wall and hyaline, holobalstic conidiogenous cells with upper cells becoming fertile and budding new conidia rather than arthroconidia. The conidia of N. septispora are hyaline, ellipsoidal, dominantly septate, slightly curved, round at both ends. Phylogenetic placement and differences on morphology of conidiomata, conidiomatal wall, and conidia as well as conidiogenesis separate our collections from Hormodochis.Published as part of Wei, De-Ping, Gentekaki, Eleni, Wanasinghe, Dhanushka N., Hyde, Kevin D., To-Anun, Chaiwat & Cheewangkoon, Ratchadawan, 2022, Neohormodochis septispora gen. et sp. nov. (Stictidaceae) from Yunnan Province, China, pp. 247-261 in Phytotaxa 573 (2) on page 252, DOI: 10.11646/phytotaxa.573.2.5, http://zenodo.org/record/734997
AD-SDL/wei: v0.5.8
No full text<p>Bug fixes related to the ~/.wei/experiments directory</p>
Neohormodochis septispora D. P. Wei & K. D. Hyde 2022, sp. nov.
No full textNeohormodochis septispora D. P. Wei & K. D. Hyde, sp. nov. (Figure 2) Index Fungorum number: IF 559772 Faces of Fungi number: FoF12298 Etymology: The epithet “ septispora ” refers to the septate conidia. Holotype: China, Yunnan Province, Kunming, Panlong district, Kunming Institute of Botany, on an unidentified dead twig, 31 March 2021, Cuijinyi Li, KLCJY54 (HKAS 124171, holotype), (KUNCC 22-10806, ex-type culture). Saprobic on an unidentified dead twigs. Sexual morph: Undetermined. Asexual morph: Conidiomata 165–360 × 140–340 (x̄ = 282 × 252, n = 10) μm, perithecial, immersed, conical to subglobose, white-pruinose, gregarious, with olivaceous green content. Conidiomatal wall 11–30 (x̄ = 19, n = 30) μm, consisting of hyaline, intricate hyphae, being encompassed by a layer of irregularly-shaped crystals. Conidiophores reduced to conidiogenous cells. Conidiogenous cell 3.5–10 × 0.8–2.4 (x̄ = 7 × 1.6, n = 25) μm, arising from stromatic cells, hyaline, cylindrical, thin-walled, the first conidium becoming conidiogenous by apical wall-building to form connected chain. Conidia 7.6–12 × 2–3.8 (x̄ = 9.5 × 3.3, n = 40) μm, hyaline, ellipsoidal, two-celled, occasionally asepate, slightly curved, arranged in branched chain. Culture characteristics: isolates were obtained from germinating conidia. Colony slow-growing, reaching 2 cm after 8 weeks on PDA, white, circular, mycelia dense, velvety, reverse creamy-yellow. Additional materials examined: China, Yunnan Province, Kunming, Panlong district, Heilongtan Park, 31 March 2021, Cuijinyi Li, HLCJY57 (HKAS 124172), (KUNCC22-10807, living culture); HLCJY58 (HKAS 124174), (KUNCC22-10808, living culture); HLCJY59 (HKAS 124173), (KUNCC22-10809, living culture); ibid. Songhuaba reservoir, 11 December 2021, De-Ping Wei, SHB1225 (HKAS 124170), (KUNCC22-10810, living culture). Notes: Phylogenetically, Neohormodochis septispora has a sister affiliation to a clade comprising Hormodochis aggregata, H. melanochlora and H. eucalypti (Figure 1). Morphologically, N. septispora is similar with H. aggregata by catenulate conidia but differs by the hyaline, ellipsodial and septate conidia while it is olivaceous brown, subcylindrical to doliiform, and aseptate in the latter (Crous et al. 2020a). Hormodochis melanochlora is distinct by erumpent, globose, brown conidiomata that are immersed, conical to globose, white-pruinose from N. septispora (Crous et al. 2020a). Hormodochis eucalypti (syn. Phacidiella eucalypt) has dark brown to black conidiomata and subcylindrical to barrel-shaped conidia that are dramatically different from N. septispora (Crous et al. 2007, 2020b).Published as part of Wei, De-Ping, Gentekaki, Eleni, Wanasinghe, Dhanushka N., Hyde, Kevin D., To-Anun, Chaiwat & Cheewangkoon, Ratchadawan, 2022, Neohormodochis septispora gen. et sp. nov. (Stictidaceae) from Yunnan Province, China, pp. 247-261 in Phytotaxa 573 (2) on pages 254-255, DOI: 10.11646/phytotaxa.573.2.5, http://zenodo.org/record/734997
AD-SDL/wei: v0.5.0
No full text<p>Major overhaul of the internal architecture of WEI, taking better advantage of our Pydantic Dataclasses and removing a fair bit of legacy code.</p>
<p>Other improvements and changes include:</p>
<ul>
<li>Codified <code>StepResponse</code> and <code>StepFileResponse</code> models, which are now a standardized response from modules</li>
<li>Switch to WEI Engine</li>
<li>Moved <code>exp_app.Experiment</code> -> <code>experiment_client.ExperimentClient</code> (wei.Experiment is still aliased, in addition to wei.ExperimentClient)</li>
<li>Standardized around "Workflow Runs" nomenclature, removing references to "jobs"</li>
</ul>
A 2 h periodic variation in the low-mass X-ray binary Ser X-1
No full textSpectroscopy of the low-mass X-ray binary Ser X-1 using the Gran Telescopio Canarias have revealed a ?2 h periodic variability that is present in the three strongest emission lines. We tentatively interpret this variability as due to orbital motion, making it the first indication of the orbital period of Ser X-1. Together with the fact that the emission lines are remarkably narrow, but still resolved, we show that a main-sequence K dwarf together with a canonical 1.4 M? neutron star gives a good description of the system. In this scenario, the most likely place for the emission lines to arise is the accretion disc, instead of a localized region in the binary (such as the irradiated surface or the stream-impact point), and their narrowness is due instead to the low inclination (?10°) of Ser X-1
Extracting Boer-Mulders functions from p+D Drell-Yan processes
No full textWe extract the Boer- Mulders functions of valence and sea quarks in the proton from unpolarized p + D Drell- Yan data measured by the FNAL E866 Collaboration. Using these Boer- Mulders functions, we calculate the cos2 phi asymmetries in unpolarized pp Drell- Yan processes, both for the FNAL E866/ NuSea and the BNL Relativistic Heavy Ion Collider experiments. We also estimate the cos2 phi asymmetries in the unpolarized p (P) over bar Drell- Yan processes at GSI.Astronomy & AstrophysicsPhysics, Particles & FieldsSCI(E)37ARTICLE5null7
Image_6_Mechanisms of the Ping-wei-san plus herbal decoction against Parkinson’s disease: Multiomics analyses.TIF
No full textIntroductionParkinson’s disease is a neurodegenerative disorder involving loss of dopaminergic neurons. Multiple studies implicate the microbiota-gut-brain axis in Parkinson’s disease pathophysiology. Ping-wei-san plus Herbal Decoction, a traditional Chinese medicine composition with beneficial effects in Parkinson’s disease, may have a complex array of actions. Here we sought to determine whether gut microbiota and metabolic pathways are involved in Ping-wei-san plus herbal therapy for Parkinson’s disease and to identify functional pathways to guide research.Methods and resultsThe model of Parkinson’s disease were induced with the rotenone. The Ping-wei-san plus group received the PWP herbal decoction for 90 days, after which all groups were analyzed experimentally. PWP herbal treatment improved motor behavior and emotional performance, balanced gut microbiota, and benefited dietary metabolism. Tandem Mass Tags mass spectrometry identified many differentially expressed proteins (DEPs) in the substantia nigra and duodenum in the PWP group, and these DEPs were enriched in pathways such as those involving cAMP signaling, glutamatergic synapses, dopaminergic synapses, and ribosome-rich functions in the gut. The PWP group showed increases in recombinant tissue inhibitors of metalloproteinase 3, and nucleotide-binding oligomerization domain, leucine rich repeat, and pyrin domain containing proteins 6 in the substantia nigra and decreased parkin, gasdermin D, recombinant tissue inhibitors of metalloproteinase 3, and nucleotide-binding oligomerization domain, leucine rich repeat and pyrin domain containing proteins 6 in the duodenum.DiscussionIn conclusion, this study combined gut microbiota, metabolomics, and proteomics to evaluate the mechanism of action of Ping-wei-san plus on Parkinson’s disease and revealed that PWP herbal treatment modulated gut microbiota, altered metabolite biological pathways, and affected functional pathway protein expression in Parkinson’s disease mice, resulting in therapeutic effects.</p
Image_2_Mechanisms of the Ping-wei-san plus herbal decoction against Parkinson’s disease: Multiomics analyses.TIF
No full textIntroductionParkinson’s disease is a neurodegenerative disorder involving loss of dopaminergic neurons. Multiple studies implicate the microbiota-gut-brain axis in Parkinson’s disease pathophysiology. Ping-wei-san plus Herbal Decoction, a traditional Chinese medicine composition with beneficial effects in Parkinson’s disease, may have a complex array of actions. Here we sought to determine whether gut microbiota and metabolic pathways are involved in Ping-wei-san plus herbal therapy for Parkinson’s disease and to identify functional pathways to guide research.Methods and resultsThe model of Parkinson’s disease were induced with the rotenone. The Ping-wei-san plus group received the PWP herbal decoction for 90 days, after which all groups were analyzed experimentally. PWP herbal treatment improved motor behavior and emotional performance, balanced gut microbiota, and benefited dietary metabolism. Tandem Mass Tags mass spectrometry identified many differentially expressed proteins (DEPs) in the substantia nigra and duodenum in the PWP group, and these DEPs were enriched in pathways such as those involving cAMP signaling, glutamatergic synapses, dopaminergic synapses, and ribosome-rich functions in the gut. The PWP group showed increases in recombinant tissue inhibitors of metalloproteinase 3, and nucleotide-binding oligomerization domain, leucine rich repeat, and pyrin domain containing proteins 6 in the substantia nigra and decreased parkin, gasdermin D, recombinant tissue inhibitors of metalloproteinase 3, and nucleotide-binding oligomerization domain, leucine rich repeat and pyrin domain containing proteins 6 in the duodenum.DiscussionIn conclusion, this study combined gut microbiota, metabolomics, and proteomics to evaluate the mechanism of action of Ping-wei-san plus on Parkinson’s disease and revealed that PWP herbal treatment modulated gut microbiota, altered metabolite biological pathways, and affected functional pathway protein expression in Parkinson’s disease mice, resulting in therapeutic effects.</p
How weather conditions affect the spread of Covid-19 : findings from a study using contrastive learning and NARMAX models
No full textMachine learning (ML) has demonstrated a powerful ability in learning complex patterns or inherent dynamics from observed data. Most machine learning models are black-box, in that the internal behaviour of the models is opaque and thus unknown to no one. However, in many real applications, e.g., in many medical and healthcare domains, it is significantly useful or necessary to explicitly know the internal compositions, combinations or interactions of the models to be used for one purpose or another. Therefore, the interest in interpreting machine learning models has increasingly grown in recent years, especially for cases where users need to do predictions using the models and require explanations for an insightful understanding of drivers that cause the predicted behaviour. This study introduces a novel interpretable machine learning method based on contrastive learning and Non-linear AutoRegressive Moving Average with eXogenous inputs (NARMAX) model (referred to as CL-NARMAX thereafter). The proposed method provides a glass-box model, where the input-output relationship and interactions between the input variables can be written down, so as the model cannot only be applied for predicting future behaviour but also for explaining the relevant “reasons” behind the predicted behaviour. Two case studies are provided to illustrate the usability and performance of the proposed CL-NARMAX approach. The first case study focuses on modelling and analyzing weather conditions against the Covid-19 data in the UK and France, aiming to reveal the impacts of climatic factors on the spread of Covid-19 using the proposed CL-NARMAX method. The second case study focuses on modelling the relationship between influenza-like illness (ILI) incidence rate and the relevant mortality based on the England data, where it is mainly served for illustration purpose, showing how CL-NARMAX is used to model a dynamic system, generating dynamic process models that can be used for explanation and prediction
Measurement of the D-s+-D-s- production asymmetry in 7 TeV pp collisions
No full textHeavy quark production in 7 TeV centre-of-mass energy pp collisions at the LHC is not necessarily flavour symmetric. The production asymmetry, AP, between and mesons is studied using the ϕπ± decay mode in a data sample of 1.0 fb−1 collected with the LHCb detector. The difference between π+ and π− detection efficiencies is determined using the ratios of fully reconstructed to partially reconstructed D⁎± decays. The overall production asymmetry in the rapidity region 2.0 to 4.5 with transverse momentum larger than 2 GeV is measured to be AP=(−0.33±0.22±0.10)%. This result can constrain models of heavy flavour production
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