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FIGURE 1 in First report of a cricket with filiform hairs on foretibia (Orthoptera: Gryllidae Gryllinae)
FIGURE 1. The phylogenetic relationship inferred from the COI concatenated fragments. The tree was rooted by Velarifictorus arisanicus and constructed by Maximum likelihood (ML) with TIM2+I+G4+F model. Topology supports of all major nodes are indicated above branches by SH-aLRT value and the bootstrap value.
FIGURE 3 in First report of a cricket with filiform hairs on foretibia (Orthoptera: Gryllidae Gryllinae)
FIGURE 3. Fodigryllus bisetus sp. nov. A, dorsal view of male; B, head in frontal view of male; C, anal plate (Scale bar= 1mm).
Measurement report: The importance of biomass burning in light extinction and direct radiative effect of urban aerosol during the COVID-19 lockdown in Xi'an, China
<p>To explore the impacts of anthropogenic emissions on aerosol optical properties and direct radiative effect (DRE), a series of real-time measurements was conducted in an urban area of China before and during the lockdown of Coronavirus Disease 2019. The generalized addictive model analysis shows that the light extinction coefficient (<em>b</em><sub>ext</sub>) decreased largely during the lockdown due to the sharp reductions in anthropogenic emissions. Organic aerosol was the largest contributor to <em>b</em><sub>ext</sub> based on the ridge regression analysis. A hybrid environmental receptor model combining with chemical and optical variables shows that <em>b</em><sub>ext</sub> from biomass burning increased in the lockdown due to the undiminished needs of residential cooking and heating in winter. Biomass burning contributed the largest positive effect to aerosol DRE in the atmosphere during the lockdown, highlighting the importance of controlling biomass burning for mitigating climate change in China in the future.</p>
How much can we differentiate at a brief glance: Revealing the truer limit in conscious contents through the Massive Report Paradigm (MRP)
<p><span>Upon a brief glance, how well can we differentiate what we see from what we do not? Previous studies answered this question as "poorly". This is in stark contrast with our everyday experience. Here, we consider the possibility that previous restriction in stimulus variability and response alternatives reduced what participants could express from what they consciously experienced. We introduce a novel Massive Report paradigm that probes the ability to differentiate what we see from what we do not. In each trial, participants viewed a natural scene image and judged whether a small image patch was a part of the original image. To examine the limit of discriminability, we also included subtler changes in the image as modification of objects. Neither the images nor patches were repeated per participant. Our results showed that participants were highly accurate (accuracy > 80%) in differentiating patches from the viewed images from patches that are not present. Additionally, the differentiation between original and modified objects was influenced by object sizes and/or the congruence between objects and the scene gists. Our Massive Report paradigm opens a door to quantitatively measure the limit of immense informativeness of a moment of consciousness. </span></p>
LoGov Poland Interview Report n°4
<p>The interviews have been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The interviews have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Poland. To access the full transcription of this interview, the other interview reports on Poland, and to receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.</p>
Neural motif discovery manuscript reports
<p>This repository holds the supplementary data for the motif and motif-syntax/grammar discovery tool in the associated manuscript.</p> <p><strong>reports.tar.gz</strong><br> Contains the motif and motif-syntax/grammar analysis reports as HTML files for all analyzed transcription factors (TFs). See included README for more details.</p> <p><strong>models.tar.gz</strong><br> Contains the fine-tuned models. Each TF, this includes the fine-tuned single-task profile model for each task/experiment, and the fine-tuned multi-task profile model over all experiments.</p> <p><strong>motifs.tar.gz</strong><br> Contains the motifs discovered by TF-MoDISco on each profile model, for both the profile and counts heads. This includes the PFM, the CWM, and eCWM. This also includes the motifs that have been merged across the profile/counts heads (i.e. `cpmerged`).</p> <p><strong>motif_hits.tar.gz</strong><br> For each experiment, motif instances were called using FiNeMo on the best-performing model. Motif instances are either called for the profile head, count head, or merged across both heads. Each subdirectory includes: 1) the collapsed and filtered motif instances; 2) the set of peaks for which they come from; 3) a file matching motif instances to their peaks; 4) the co-occurrence of multiple motifs in peaks; and 5) the distance distribution of motif pairs which significantly co-occur. Unless stated otherwise, collapsing is done over all motif patterns.</p>
Prevalence, severity, and risk factors of disability among adults living with HIV accessing routine outpatient HIV care in London, United Kingdom (UK): A cross-sectional self-report study
<div> <p><strong>Background</strong></p> <p>The study objectives were to measure disability prevalence and severity, and examine disability risk factors, among adults living with HIV in London, United Kingdom (UK).</p> <p><strong>Methods</strong></p> <p>Self-reported questionnaires were administered: World Health Organization Disability Assessment Schedule 2.0 (WHODAS), HIV Disability Questionnaire (HDQ), Equality Act disability definition (EADD), and demographic questionnaire. We calculated proportion (95% Confidence Interval; CI) of "severe" and "moderate" disability measured using EADD and WHODAS scores ≥2 respectively. We measured disability severity with HDQ domain severity scores. We used demographic questionnaire responses to assess risk factors of "severe" and "moderate" disability using logistic regression analysis, and HDQ severity domain scores using linear regression analysis.</p> <p><strong>Results</strong></p> <p>Of 201 participants, 176 (87.6%) identified as men, median age 47 years, and 194 (96.5%) virologically suppressed. Severe disability prevalence was 39.5% (n=79/201), 95% CI [32.5%, 46.4%]. Moderate disability prevalence was 70.5% (n=141/200), 95% CI [64.2%, 76.8%]. Uncertainty was the most severe HDQ disability domain. Late HIV diagnosis was a risk factor for severe disability [Odds Ratio (OR) 2.71; CI 1.25, 5.87]. Social determinants of health, economic inactivity [OR 2.79; CI 1.08, 7.21] and receiving benefits [OR 2.87; CI 1.05, 7.83], were risk factors for "severe" disability. <span>Economic inactivity [OR 3.14; CI 1.00, 9.98] was a risk factor for </span>"moderate" disability. Economic inactivity, receiving benefits, and having no fixed abode were risk factors (P≤0.05) across HDQ domains; physical, mental and emotional, difficulty with day-to-day activities, and challenges to social participation. Personal factors, identifying as a woman and being aged <50 years, were risk factors (P≤0.05) for HDQ domains; mental and emotional, uncertainty, and challenges with social participation.</p> <p><strong>Conclusions</strong></p> <p>People living with well-controlled HIV in London UK experienced multi-dimensional and episodic disability. Results help to better understand the prevalence, severity, and risk factors of disability experienced by adults living with HIV, identify areas to target interventions, and optimise health and functioning.</p> </div>
FIGURE 4. Palaeocene Diptera from the Sanshui Basin. A–F in A brief report on the Palaeocene insects from the Sanshui Basin of Guangdong, South China
FIGURE 4. Palaeocene Diptera from the Sanshui Basin. A–F, Diptera (Nematocera, Brachycera and Cyclorrhapha).
FIGURE 1. Representative Palaeocene insects from the Sanshui Basin. A–D in A brief report on the Palaeocene insects from the Sanshui Basin of Guangdong, South China
FIGURE 1. Representative Palaeocene insects from the Sanshui Basin. A–D, Orthoptera (Grylloidea). E–F, Blattodea.
Figure 1. Enteromyces callianassae Lichtwardt, 1961 in First reports of protists in land crabs of the family Gecarcinidae (Crustacea: Decapoda: Brachyura) suggest a relatively widespread phenomenon
Figure 1. Enteromyces callianassae Lichtwardt, 1961: (a) distribution along the (cleared) stomach wall of a female Gecarcinus lateralis (Guérin, 1832) (carapace width 39 mm); (b) thalli attached to multiple holdfast systems; (c) holdfast on stomach wall; (d) multinucleate thalli.
Figure 2 in First reports of protists in land crabs of the family Gecarcinidae (Crustacea: Decapoda: Brachyura) suggest a relatively widespread phenomenon
Figure 2. Relative frequency of stomachs of Gecarcinus lateralis (Guérin, 1832) according to their fullness, with and without eccrinids (0 = empty stomach; 1 = 1–50%; 2 = 51–100%).
FIGURE 4. 18S in Morphological and molecular characteristics of Geocenamus longus and the first report of G. brevidens from a karst cave (Nematoda: Merliniidae Siddiqi, 1971)
FIGURE 4. 18S rDNA-based Bayesian phylogeny of the Merliniidae. The new Geocenamus sequences are indicated in bold. Numbers near nodes indicate posterior probabilities.
FIGURE 5. 28S in Morphological and molecular characteristics of Geocenamus longus and the first report of G. brevidens from a karst cave (Nematoda: Merliniidae Siddiqi, 1971)
FIGURE 5. 28S rDNA-based Bayesian phylogeny of Merliniidae. The new Geocenamus sequences are indicated in bold. Numbers near nodes indicate posterior probabilities.
FIGURE 1 in Morphological and molecular characteristics of Geocenamus longus and the first report of G. brevidens from a karst cave (Nematoda: Merliniidae Siddiqi, 1971)
FIGURE 1. Light microscopy images of Geocenamus longus, female. A) Entire body; B) Pharyngeal region; C) Pharyngeal region with a visible hemizonid near to the excretory pore; D) Anterior end of the body, the structure of the cuticle; E) Anterior end of the body with a visible long stylet; F) Vulval region with a visible filled spermatheca; G–I&M) Vulval region; J–K) Tail region with a visible anus; L) Tail region with a visible phasmid. Scale: A) 50 µm; B–M) 10 µm.
Electrochemotherapy of Primary Colon Rectum Cancer and Local Recurrence: Case Report and Prospective Analysis
<p>I uploaded the original images of the manuscript "Electrochemotherapy of Primary Colon Rectum Cancer and Local Recurrence: Case Report and Prospective Analysis"</p>
FIGURE 3 in Morphological and molecular characteristics of Geocenamus longus and the first report of G. brevidens from a karst cave (Nematoda: Merliniidae Siddiqi, 1971)
FIGURE 3. Light microscopy images of Geocenamus brevidens, female and male. Female: A) Entire body; B) Pharyngeal region; C) Vulval region; D) Lateral field; E) Tail region; Male: F) Entire body; G) Pharyngeal region; H–I) Tail region with visible spicules and bursa. Scale: 10 µm.
FIGURE 2 in Morphological and molecular characteristics of Geocenamus longus and the first report of G. brevidens from a karst cave (Nematoda: Merliniidae Siddiqi, 1971)
FIGURE 2. Light microscopy images of Geocenamus longus, male. A) Entire body; B) Anterior end of the body with visible long stylet; C) Pharyngeal region; D) Lateral field; E) Posterior region with visible testis; F–G) Tail region with visible spicules; H–I) Tail region with a visible bursa. Scale: A) 50 µm; B–I) 10 µm.
Figs. 1–5. Phyllobaenus corticinus. 1 in Notes on the Identification, Distribution, and Natural History of Phyllobaenus Corticinus (Gorham, 1883) (Coleoptera: Cleridae: Hydnocerinae), Including the First Report from the United States
Figs. 1–5. Phyllobaenus corticinus. 1) Lectotype, Mexico; 2) Paralectotype, Cerro Zunil; 3) Non-type (RMGC), Cameron County; E. G. Riley in 4) New growth area and 5) Old growth area in the Sabal Palm Grove Sanctuary, Cameron County, Texas.
FIGURES 14–19 in First report of the genus Thirumalaia Zettel & Laciny, 2021 (Hemiptera: Veliidae) in the Ryukyu Islands, Japan, with the description of a new species
FIGURES 14–19. Life cycle of Thirumalaia kaara sp. nov. 14, Egg; 15, first instar; 16, second instar; 17, third instar; 18, fourth instar; 19, emerged adult male.
FIGURES 3–12 in First report of the genus Thirumalaia Zettel & Laciny, 2021 (Hemiptera: Veliidae) in the Ryukyu Islands, Japan, with the description of a new species
FIGURES 3–12. Thirumalaia kaara sp. nov., apterous male. 3, Antenna; 4–6, fore leg, middle leg, hind leg, respectively; 7, apical part of fore leg with grasping comb of tibia; 8, ventral view of mediotergite VIII; 9–10, dorsal and lateral views of proctiger; 11–12, dorsal and lateral views of right paramere.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.