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Fig. 3. A in Atlas of European millipedes 3: Order Chordeumatida (Class Diplopoda)
Fig. 3. A selection of European species of Chordeumatida C.L. Koch, 1847, various families. A. Psichrosoma cf. breuli (Mauriès, 1970) (Vandeleumatidae Mauriès, 1970). B. Turdulisoma cf. helenreadae Mauriès, 2015 (Haplobainosomatidae Verhoeff, 1909). C. Hylebainosoma nontronense Mauriès & Kime, 1999 (Haaseidae Attems, 1899). D. Anamastigona pulchella (Silvestri, 1894) (Anthroleucosomatidae Verhoeff, 1899). E. Melogona gallica (Latzel, 1884) (Chordeumatidae C.L. Koch, 1847). F. Chordeuma proximum Ribaut, 1913 (Chordeumatidae). G. Ceratosphys amoena Ribaut, 1920 (Opisthocheiridae Ribaut, 1913). H. Mastigona mutabilis (Latzel, 1884) (Mastigophorophyllidae Verhoeff, 1899). Photo credits: Paul Richards, www.flickr.com/invertimages (A–E, G), Trevor and Dilys Pendleton (F), Jörg Spelda (H).
Fig. 1. A in Atlas of European millipedes 3: Order Chordeumatida (Class Diplopoda)
Fig. 1. A selection of European species of Chordeumatida C.L. Koch, 1847, family Craspedosomatidae Gray, 1843. A. Nanogona polydesmoides (Leach, 1814). B. Rhymogona verhoeffi (Bigler, 1913). C. Craspedosoma raulinsii Leach, 1814, in copula. D. Atractosoma meridionale Fanzago, 1876. E. Bergamosoma canestrinii (Fedrizzi, 1878), feeding on excrements of fox (Vulpes vulpes (Linnaeus, 1758)). Photo credits: Paul Richards, www.flickr.com/invertimages (A, C), Jörg Spelda (B, D), José Domingo Gilgado (E).
FIGURE 1 in A new species of the genus Rhopalaea (Class: Ascidiacea) from the Red Sea
FIGURE 1. External appearance of Rhopalaea idoneta n. sp. Scale bar 1 cm. Paratype AS25501
Object and Class
<p>Bagian dari materi OOP</p>
Comparative assessment of two-phase Class II treatment with Activator or Bionator followed by fixed appliances: a controlled before-and-after study
<p>Dataset for all analyses.</p>
Raw motif mapping bedfile data and model training set class probabilities
<p>Leveraging prior viral genome sequencing data to make predictions on whether an unknown, emergent virus harbors a 'phenotype-of-concern' has been a long-sought goal of genomic epidemiology. A predictive phenotype model built from nucleotide-level information alone is challenging with respect to RNA viruses due to the ultra-high intra-sequence variance of their genomes, even within closely related clades. We developed a degenerate k-mer method to accommodate this high intra-sequence variation of RNA virus genomes for modeling frameworks. By leveraging a taxonomy-guided 'group-shuffle-split' cross validation paradigm on complete coronavirus assemblies from prior to October 2018, we trained multiple regularized logistic regression classifiers at the nucleotide k-mer level. We demonstrate the feasibility of this method by finding models accurately predicting withheld SARS-CoV-2 genome sequences as human pathogens and accurately predicting withheld Swine Acute Diarrhea Syndrome coronavirus (SADS-CoV) genome sequences as non-human pathogens. Feature selection using L1 regularization identified several degenerate nucleotide predictor motifs with high model coefficients for the human pathogen class that were present across widely disparate clades of coronaviruses. However, these motifs differed in which genes they were present in, what specific codons were used to encode them, and what the translated amino acid motif was. This emphasizes the importance of a phenetic view of emerging pathogenic RNA viruses, as opposed to the canonical phylogenetic interpretations most commonly used to track and manage viral zoonoses. Applying our model to more recent Orthocoronavirinae genomes deposited since October 2018 yields a novel contextual view of pathogen potential across bat-related, canine-related, porcine-related, and rodent-related coronaviruses and critical adaptations which may have contributed to the emergence of the pandemic SARS-CoV-2 virus. Finally, we discuss the next steps to achieve robust predictive ensembles and the utility of these models (and their associated predictor motifs) to novel biosurveillance protocols that substantially increase the 'pound-for-pound' information content of field-collected sequencing data and make a strong argument for the necessity of routine collection and sequencing of zoonotic viruses. </p>
Figure 2 A in Effect of soil class and moisture on the depth of pupation and pupal viability of Bactrocera carambolae Drew & Hancock (1994)
Figure 2 A) Scheme of the moisture levels (0%, 30%, 60% and 90%) and classes of soils tested (S1 – sandy, S2 - sandy clay loam, and S3 - clay loam), for a total of 12 treatments; B) Polystyrene foam containers, divided into stacked 1 cm rings.
Fig. 2. A in A report of 35 unrecorded bacterial species belonging to the classes Alphaproteobacteria and Betaproteobacteria in Korea
Fig. 2. A neighbor-joining phylogenetic tree, based on 16S rRNA gene sequences, showing the phylogenetic relationships between the strains isolated in this study and their relatives in the orders Caulobacterales, Rhizobiales, Rhodobacterales, Rhodospirillales, and Sphingomonadales of the class of Alphaproteobacteria. Bootstrap values (>70%) are shown above nodes. Scale bar: 0.02 changes per nucleotide.
Revised Class Play – Extended version (ERCP) / Class Play Revisado – Versión Extendida (CPRE) // CLASSPLAY_Data_IC_T1-Pre
<p>Answers given by children in the first grade of Primary Education to 33 items of the Revised Class Play - Extended version questionnaire by Wojslawowicz, Rubin, Burgess, Booth-LaForce, and Rose-Krasnor (2006; extended version adapted for Spanish population by García Bacete et al., 2014). Data collected in four public schools in Castellón (Spain) in the autumn of the school year 2010-11. The calculation of the 11 subscales is included: Social Competence, Direct Aggression, Social Aggression, Reactive Aggression, Hyperactivity-Inattention, Withdrawal/Internal Problems, Victimization, Friendship Network, Perceived Preference. Dominance, and Influence. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a>.</p> <p>//</p> <p>Respuestas que los niños/as de primer curso de Educación Primaria dan a 33 ítems del Cuestionario Class Play revisado- Versión ampliada de Wojslawowicz, Rubin, Burgess, Booth-LaForce, and Rose-Krasnor (2006; versión extendida y adaptada para la población española por García Bacete et al., 2014). Datos recogidos en cuatro centros públicos de Castellón (España) en otoño del curso escolar 2010-11. El cuestionario se administra de forma individual. Se incluye el cálculo de 11 subescalas: Competencia Social, Agresión Directa, Agresión Social, Agresión Reactiva, Hiperactividad-Inatención, Retraimiento/Problemas Internos, Victimización, Red de Amistad, Preferencia Percibida, Dominancia e Influencia. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p>
Revised Class Play – Extended version (ERCP) / Class Play Revisado – Versión Extendida (CPRE) // CLASSPLAY_Data_CS_T3-Post
<p>Answers given by children in the third grade of Primary Education to 35 items of the Revised Class Play - Extended version questionnaire by Wojslawowicz, Rubin, Burgess, Booth-LaForce, and Rose-Krasnor (2006; extended version adapted for Spanish population by García Bacete et al., 2014). Data collected in public schools in Seville (Spain) in the spring of the school year 2011-12. The questionnaire is administered individually. The calculation of the 12 subscales is included: Social Competence, Direct Aggression, Social Aggression, Reactive Aggression, Instrumental Aggression, Hyperactivity-Inattention, Withdrawal/Internal Problems, Victimization, Friendship Network, Perceived Preference, Dominance, and Influence. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a>.</p> <p>//</p> <p>Respuestas que los niños/as de tercer curso de Educación Primaria dan a 35 ítems del Cuestionario Class Play revisado- Versión ampliada de Wojslawowicz, Rubin, Burgess, Booth-LaForce, and Rose-Krasnor (2006; versión extendida y adaptada para la población española por García Bacete et al., 2014). Datos recogidos en centros públicos de Sevilla (España) en la primavera del curso escolar 2011-12. El cuestionario se administra de forma individual. Se incluye el cálculo de 12 subescalas: Competencia Social, Agresión Directa, Agresión Social, Agresión Reactiva, Agresión Instrumental, Hiperactividad-Inatención, Retraimiento/Problemas Internos, Victimización, Red de Amistad, Preferencia Percibida, Dominancia e Influencia. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p>
Development of a new class of radiopharmaceuticals for diagnosis and therapy of CXCR4-expressing malignancies based on the endogenous CXCR4 antagonist EPI-X4
<p>The pathological overexpression of the C-X-C motif chemokine receptor 4 (CXCR4) in more than 23 human cancers designate CXCR4 as a “wide spectrum” molecular target in oncology. In nuclear medicine, radiolabeled molecules can specifically target such cell surface receptors and can be designed for blending diagnostic and therapeutic properties within the same molecule (radio-theranostics). Recently, the applicants have identified an endogenous antagonist of CXCR4, termed EPI-X 4. EPI-X4 is a 16-mer peptide derived from human serum albumin that specifically binds CXCR4 but no other G-protein coupled receptors, without causing receptor activation. Several synthetic derivatives of EPI-X4 with increased affinity for CXCR4, resistance against proteolytic degradation in blood and high systemic retention times have been developed. Radiotheranostics based on EPI-X4 may thus offer new imaging tests and therapeutic options to patients suffering from CXCR4-expressing malignancies. The proposed research project would be the first study aiming to evaluate a new class of radiopharmaceuticals based on an endogenous peptide naturally present in the human body, which may have less off-target effects as compared to small molecules.</p>
Fig. 5 in Volatile phenolics: A comprehensive review of the anti-infective properties of an important class of essential oil constituents
Fig. 5. Mechanism of antifungal action of volatile phenolics.
Fig. 4 in Volatile phenolics: A comprehensive review of the anti-infective properties of an important class of essential oil constituents
Fig. 4. Mechanism of antibacterial action of volatile phenolics.
Fig. 3 in Volatile phenolics: A comprehensive review of the anti-infective properties of an important class of essential oil constituents
Fig. 3. Term map generated from all keyword fields on the anti-infective of volatile phenolics.
Fig. 15 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 15. NSEs extracted from Raphanus sativus, Calamus quiquesetinervius and Canna edulis Ker Gawl.
Fig. 14 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 14. NSEs extracted from Polygala telephioides and Polygala arillate.
Fig. 13 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 13. NSEs extracted from Polygala sibirica, Polygala tenuifolia Willd and Polygala glomerate.
Fig. 11 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 11. NSEs extracted from Fagopyrum acutatum and Phyllanthus niruri.
Fig. 10 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 10. NSEs extracted from Echium angustifolium and Quillaja Saponaria.
Fig. 7. NSEs extracted from N. tabacum, E. hiemale L and V in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 7. NSEs extracted from N. tabacum, E. hiemale L and V. guineensis.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.