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1,145 results for “REST”
FIGURES 1–4. Erionota acroleuca apicalis from S. Yunnan, China. 1 in A taxonomic note on Erionota acroleuca (Wood-Mason & de Nicéville, 1881) stat. rest. (Lepidoptera: Hesperiidae)
FIGURES 1–4. Erionota acroleuca apicalis from S. Yunnan, China. 1. last instar larva; 2. pupal nest; 3. pupa; 4. male adult, scale bar = 1 cm.
FIGURE 8. Pardosa evippiformis Caporiacco, 1935 comb. rest. A–C in Notes on Indian wolf spiders: III. Genera Acantholycosa Dahl, 1908, Evippomma Roewer, 1959, Hippasosa Roewer, 1960 and Trochosa C.L. Koch, 1847 (Araneae: Lycosidae)
FIGURE 8. Pardosa evippiformis Caporiacco, 1935 comb. rest. A–C male lectotype left palp: A dorsoprolateral, B prolateroventral; C retrolateral. Scale bars: A–C, 0.5 mm. © M. Zilioli, MSNM, Italy.
FIGURE 7. Pardosa evippiformis Caporiacco, 1935 comb. rest. A male lectotype habitus, dorsal. B juvenile female paralectotype habitus, dorsal. C in Notes on Indian wolf spiders: III. Genera Acantholycosa Dahl, 1908, Evippomma Roewer, 1959, Hippasosa Roewer, 1960 and Trochosa C.L. Koch, 1847 (Araneae: Lycosidae)
FIGURE 7. Pardosa evippiformis Caporiacco, 1935 comb. rest. A male lectotype habitus, dorsal. B juvenile female paralectotype habitus, dorsal. C label from type tube. Scale bars: A–B, 5 mm. © M. Zilioli, MSNM, Italy.
Data source for the ReMap REST API
<h2>Content</h2> <p>This Zenodo contains the ReMap BED files in <code>bgzip</code> format with the <code>TABIX</code> indexes for the 2022, 2020, 2018 and 2015 ReMap releases.</p> <p>It contains all three data types (all peaks, non-redundant peaks and CRMs), except for 2015 (only all peaks, and non-redundant peaks available). </p> <h2>Format </h2> <p>The files formats for BGZIP BED files and TABIX indexes are as follow : </p> <ul> <li><code><strong>remap2018_all_macs2_hg38_v1_2.bed.gz</strong></code></li> <li><code><strong>remap2018_all_macs2_hg38_v1_2.bed.gz.tbi</strong></code></li> </ul> <ol> <li><strong>remap2018</strong> : ReMap release number (2015, 2018, 2020 or 2022)</li> <li><strong>all</strong> : data types (all= all peaks, nr= non-redundant peaks, crm=CisRegulatoryModules)</li> <li><strong>macs2 </strong>: peak caller used (always macs2)</li> <li><strong>hg38</strong> : assembly version (hg19, hg38, mm10 etc..)</li> <li><strong>v1.2</strong> : version patches</li> </ol> <p>The versioning number (eg. v1.2, v1.0) which varies between ReMap releases have been normalized with symlinks pointing to <strong><code>*latest*</code></strong> files. e.g.</p> <ul> <li><strong>remap2018_all_macs2_hg38_<code>v1_2</code>.bed.gz --> remap2018_all_macs2_hg38_<code>latest</code>.bed.gz</strong></li> </ul> <h2>Folder architecture </h2> <p>The architecture is as follow : </p> <p><code>.</code></p> <p><code>├── 2015</code></p> <p><code>│ ├── hg19</code></p> <p><code>│ └── hg38</code></p> <p><code>├── 2018</code></p> <p><code>│ ├── hg19</code></p> <p><code>│ └── hg38</code></p> <p><code>├── 2020</code></p> <p><code>│ ├── TAIR10</code></p> <p><code>│ ├── hg19</code></p> <p><code>│ └── hg38</code></p> <p><code>└── 2022</code></p> <p><code> ├── TAIR10</code></p> <p><code> ├── dm6</code></p> <p><code> ├── hg19</code></p> <p><code> ├── hg38</code></p> <p><code> ├── mm10</code></p> <p><code> └── mm39</code></p>
FIGS. 7–12 in Amarysius coreanus (Okamoto, 1924), stat. rest.-a species of Korean fauna (Coleoptera, Cerambycidae)
FIGS. 7–12. Amarysius coreanus (Okamoto, 1924): 7—male, Munhye-ri, Choerwon-gun [GW], 38.155060°N, 127.331620°E, 24.5.2014, S.H. Oh leg.; 8—male, Shincheorwon-ri, Choerwon-gun [GW], 38.126700, 127.354580, 23.5.2015, S.H. Oh leg.; 9—female, Mt. Bokju-san, Hwacheon-gun [GW], 38.157700, 127.526970, 31.5.2015, S.H. Oh leg.; 10—apex of penis, Mt. Unjang-san, Jinan-gun [JB], 35.900290°N, 127.416670°E, 13.5.2014, S.H. Oh leg.; 11—parameres, the same male; 12—4th and 5th visible abdominal sternites, the same male.
FIGS. 13–14. Amarysius duplicatus Tsherepanov, 1980 in Amarysius coreanus (Okamoto, 1924), stat. rest.-a species of Korean fauna (Coleoptera, Cerambycidae)
FIGS. 13–14. Amarysius duplicatus Tsherepanov, 1980: 13—male, Far East Russia, Khabarovsk Region, Komsomolsky Nature Reserve, 2.07.1991, M. Smirnov leg; 14—female with same label.
FIGS. 1–6 in Amarysius coreanus (Okamoto, 1924), stat. rest.-a species of Korean fauna (Coleoptera, Cerambycidae)
FIGS. 1–6. Amarysius altajensis (Laxmann, 1770): 1—male, Far East Russia, Maritime province, Lazo, 18.06.2006 M. & L. Smirnov leg.; 2—male with same label; 3—female with same label; 4—5th visible sternite and apex of penis, Russia, Maritime prov., Mountain-Taiga Station, 9.6.1970, A.Ermolenko leg; 5—apex of penis, Russia, Maritime prov., Sokoltchi, 17.6.1979, A.Kompantsev leg.; 6—parameres, the same male.
Rest-activity daily rhythm and physical activity levels after hip and knee joint replacement: the role of actigraphy in orthopedic clinical practice.
<p>Elective hip and knee joint replacement for osteoarthritis are cost-effective surgical procedures requiring specific rehabilitation programs. Actigraphy is widely used in both research and clinical practice to study activity patterns with great accuracy and validity but it has never been utilized in orthopedic patients. Therefore, the aim of this study was to objectively assess, through actigraphy, physical activity (PA) levels and rest-activity daily rhythm (RAR) in patients undergoing hip or knee joint replacement and hospitalized for ten days after surgery. Twenty subjects (11 males and 9 females; age: 62.68 ± 10.39 years old; BMI: 29.03 ± 3.92 kg/m2) wore the Actiwatch 2 actigraph (Philips Respironics, Portland, OR) to record both PA levels and RAR for 11 consecutive days and data on subjective scores of pain, by a visual analog scale (VAS), and functional and clinical scores were collected. The following time-points were considered for the statistical analysis: pre-surgery (PRE), the first (POST1), the fourth (POST4) and the tenth (POST10) day after surgery. RAR were processed with the population mean cosinor to describe the rhythm's characteristics (acrophase, amplitude and MESOR) while data on actigraphy-based PA, VAS, and functional clinical scores were compared among PRE, POST1, POST4 and POST 10 with the RM-ANOVA or the non-parametric Friedman test. The day after surgery the subjects had a flattened RAR compared to the other conditions: lower values were detected in POST1 compared to both PRE, POST4 and POST10 for MESOR (<em>p</em> < .0001; η2p = .71, large) and amplitude (<em>p</em> < .0001; η2p = .63, large) while RAR's acrophase (<em>p</em> < .0001; η2p = .61, large) was delayed in PRE (16:45) compared to POST1 (12:42), POST4 (14:38), and POST10 (14:38). PA levels were significantly lower at POST 1 (76.7 ± 33.4) compared to PRE (192.3 ± 91.5; <em>p</em> < .0001 and ES: 1.68, large), POST4 (137.9 ± 45.9; <em>p</em> < .0001 and ES: 1.54, large), and POST10 (131.2 ± 54.3; <em>p</em> < .0001 and ES: 1.21, large) whereas VAS and functional clinical values significantly improved at POST10. Hip and knee joint replacement negatively influenced RAR and PA the first day after surgery but a progressive improvement in the circadian pattern of rest-activity cycle, PA levels, VAS and functional ability was recorded from POST4 to POST10. Actigraphy has the ability to collect real-life data without interfering with clinical practice and give clinicians a new measure of performance that is currently not available. This tool could allow to identify patients with disrupted circadian rhythm and reduced PA in the peri-operative period in orthopedic surgery, and timely intervene on these subjects with personalized rehabilitative intervention.</p>
Data from: The active mouse rests within: Energy management among and within individuals
<p>1. The relationship between daily energy expenditure (DEE) and resting metabolic rate (RMR) provides insight into how organisms allocate energy to maintenance <i>versus</i> energetically expensive activities such as locomotor activity.</p> <p>2. Three models have been devised to describe energy management: the allocation, independent, and performance models, which respectively predict a DEE-RMR slope of <i>b</i><1, <i>b</i>=1, and <i>b</i>>1.</p> <p>3. Here, we took paired repeated metabolic and behavioural measurements in 51 female white-footed mice to 1) evaluate which energy management models apply at the among- and within-individual levels, and to 2) quantify the relationship between metabolic traits and two energetically expensive behaviours.</p> <p>4. The DEE-RMR slope was different at the among- <i>versus</i> within-individual levels, with values supporting the performance and allocation models at the among- and within-individual levels, respectively. Accordingly, the relationship between voluntary wheel running and RMR was positive at the among-individual level (<i>r</i><sub> </sub>= 0.40±0.21), but negative at the within-individual level (<i>r </i>= -0.23±0.10).</p> <p>5. To our knowledge, this is the first study to simultaneously partition the relationship between RMR and behaviour at the among- <i>versus</i> within-individuals levels while determining which energy management models apply at each of these levels. In doing so, we have identified a mechanism through which compensation occurs at the within-individual level.</p>
Distribution. Scattered localities in Peninsular Malaysia and N & SE Borneo; it might occur throughout the Thai-Malay Peninsula and the rest of Borneo. in Vespertilionidae
Distribution. Scattered localities in Peninsular Malaysia and N & SE Borneo; it might occur throughout the Thai-Malay Peninsula and the rest of Borneo.
Distribution. Malay Peninsula and N & SW Borneo (Sabah, Sarawak, and Brunei); probably also occurs in the rest of Borneo (Kalimantan), but this has not yet been confirmed in Hipposideridae
Distribution. Malay Peninsula and N & SW Borneo (Sabah, Sarawak, and Brunei); probably also occurs in the rest of Borneo (Kalimantan), but this has not yet been confirmed
The upper canines of the male Sulawesi Babirusa grow upwards through the snout and continue to grow in a backward-curving spiral. They are too brittle and shallow rooted to be used in fighting and theirfunction, if any, is unknown. Until recently, all babirusas were classified as a single species. The genus has now been split into at least three species, based on features of their skulls and teeth and the amount of hair on their bodies. The Sulawest Babirusa has nearly naked skin. The name Babyrousa celebensis specifically refers to animals from north Sulawesi and the taxonomic identity of babirusas onthe rest of the island remains undecided. Unlike other pig species, babirusas do not have noses adapted for rooting. Babyrousa celebensis Lore Lindu National Park, Sulawesi. Photo: Berndt Fischer/ photolibrary.com in Suidae
The upper canines of the male Sulawesi Babirusa grow upwards through the snout and continue to grow in a backward-curving spiral. They are too brittle and shallow rooted to be used in fighting and theirfunction, if any, is unknown. Until recently, all babirusas were classified as a single species. The genus has now been split into at least three species, based on features of their skulls and teeth and the amount of hair on their bodies. The Sulawest Babirusa has nearly naked skin. The name Babyrousa celebensis specifically refers to animals from north Sulawesi and the taxonomic identity of babirusas onthe rest of the island remains undecided. Unlike other pig species, babirusas do not have noses adapted for rooting. Babyrousa celebensis Lore Lindu National Park, Sulawesi. Photo: Berndt Fischer/ photolibrary.com
Generación automática de Oráculos de Prueba para APIs RESTful
<p>Este directorio contiene el paquete de replicación del Trabajo de fin de Máster "Generación Automática de Oráculos de Prueba para APIs RESTful", realizado por Juan Carlos Alonso Valenzuela. En concreto, el directorio contiene los siguientes archivos:</p> <p>- bugs_videos.zip: Vídeos que muestran la replicación de los bugs encontrados en sistemas reales.</p> <p>- daikon_modified.zip: Versión de Daikon modificada empleada para la realización de la experimentación.</p> <p>- evaluation.zip: Contiene varias hojas de cálculo con la clasificación de todos los invariantes generados como true positives, false positives o bugs. También contiene un report final de los resultados (Final report.xlsx).</p> <p>- oas-instrumenter.zip: Instrumenter desarrollado. Este proyecto también contiene (dentro del directorio src/test/resources/evaluation) las especificaciones OAS de cada API, los archivos de configuración de RESTest de cada operación (incluyendo los diccionarios de datos usados), los casos de prueba en formato .csv, los invariantes detectados y los DeclsFiles y DtraceFiles.<br> </p>
Distribution. NW USA, from Columbia River in N Oregon S along Oregon Coast Range to Humboldt County, California, and W slope of Cascade Range in Oregon; only three of more than 40 known sites acrossits distribution are in California and the rest in Oregon. in Cricetidae
Distribution. NW USA, from Columbia River in N Oregon S along Oregon Coast Range to Humboldt County, California, and W slope of Cascade Range in Oregon; only three of more than 40 known sites acrossits distribution are in California and the rest in Oregon.
Automated inference of sequences of operations in RESTful APIs with deep reinforcement learning - replication package
<p>This directory contains the replication package of the article entitled "Automated inference of sequences of operations in RESTful APIs with deep reinforcement learning". Please note that this is NOT a real publication or scientific report, but a project created for the purpose of learning the basic concepts of research by emulating the process of creating an article.</p>
Distribution. Bismarck Archipelago (New Ireland I); it might also extend throughout the rest of the archipelago and other Is. in Pteropodidae
Distribution. Bismarck Archipelago (New Ireland I); it might also extend throughout the rest of the archipelago and other Is.
ESEC/FSE 2022 SRC - Automated Generation of Test Oracles for RESTful APIs
<p>Replication package of the paper entitled "Automated Generation of Test Oracles for RESTful APIs". Specifically, the directory contains the following files:</p> <p>- bugs_videos.zip: Videos showing the replication of bugs found in real systems.</p> <p>- daikon_modified.zip: Modified version of Daikon used for the experimentation.</p> <p>- evaluation.zip: Contains several spreadsheets with the classification of all the generated invariants as true positives, false positives or bugs. It also contains a final report of the results (Final report.xlsx).</p> <p>- oas-instrumenter.zip: Instrumenter implemented. This project also contains (inside the src/test/resources/evaluation directory) the OAS specifications for each API, the RESTest configuration files for each operation (including the data dictionaries used), the test cases in .csv format, the detected invariants and the DeclsFiles and DtraceFiles.<br> </p>
The rest 5 files of WHUS2-CR
<p>The rest 5 files of WHUS2-CR dataset.</p> <p>If you use this dataset for your research, please cite us accordingly:</p> <p>#Reference: </p> <p>[1] J. Li, Z. W, Z. Hu, J. Z, M. Li, L. Mo and M. Molinier, “Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion,” ISPRS J. Photogramm. Remote Sens., vol. 166, pp. 373–389, Aug. 2020, doi: 10.1016/j.isprsjprs.2020.06.021.</p> <p><br> [2] J. Li, Z. Wu, Z. Hu, Z. Li, Y. Wang, and M. Molinier, “Deep learning based thin cloud removal fusing vegetation red edge and short wave infrared spectral information for Sentinel-2A imagery,” Remote Sens., vol. 13, no. 1, p. 157, Jan. 2021, doi: 10.3390/rs13010157.</p>
[Supplementary material] Online Testing of RESTful APIs: Promises and Challenges
<p>This is the supplementary material of the paper entitled <em>Online Testing of RESTful APIs: Promises and Challenges</em>.</p> <p><strong>NOTE: An online easier-to-navigate version of this supplementary material is available at <a href="https://anonymous.4open.science/r/fse2022-supplementary-material-1172">https://anonymous.4open.science/r/fse2022-supplementary-material-1172</a>.</strong></p>
Implementation of Rest-API in the Integration of Diploma Supplement Certificate Application
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
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.