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800 results for “Issues”
Automatic extraction of opinions of users of social networks on reproductive behavior issues
<p>The database contains an upload of text comments in Russian from the social network Vkontakte in .tsv format (UTF-8 encoding). Comments are collected from communities, which discuss pregnancy, childhood, motherhood, paternity, etc. Comments are collected from communities, which discuss pregnancy, childhood, motherhood, paternity, etc. <br> The database contains train, test and valid sets for machine learning processing. For the analysis of opinions in the field of reproductive behavior, nine groups of the social network Vkontakte were selected, in the names or descriptions of which the words "childfree" and their variations were clearly present, and 341 groups, in the names or descriptions of which the keywords "mother", " mothers "," children ", etc. and the number of subscribers of which was more than 10,000 people. This distribution of groups depended on the different activity of groups - supporters of a childless lifestyle produced significantly more posts and comments on our topics. Using data from different groups of the social network Vkontakte avoids data homogeneity - one of the weak points of sentiment analysis. Thus, the presented database is suitable for the analysis of specific demographic groups, which we conditionally called “anti-natalists” and “pronatalists”. Note that in the group of pronatalists there are largely representatives of a small child model of reproductive behavior. The sample contains data about stance on 6 topics: "maternity capital / benefits", "abortion", "large families", "childlessness", "parental leave", "individualism".The topics are selected by a set of keywords such as abortion, childfree, rest, no child and so on.</p> <p>Sentences from the collected sample were randomly selected for annotator marking. Each sentence was marked with three annotators. Since each sentence could discuss several issues, the annotator marked each sentence on all seven topics. The proposals were marked up mainly by professional demographers and linguists.</p>
Figure 10 in Scorpions of China: an updated checklist with comments on some taxonomic issues (Arachnida: Scorpiones)
Figure 10. Color comparison in the typical morph of Mesobuthus thersites: a normal adult female vs. an orange juvenile (above); the same normal adult female vs. a variegated adult female (below).
Figure 9 in Scorpions of China: an updated checklist with comments on some taxonomic issues (Arachnida: Scorpiones)
Figure 9. Color variation in the dark morph of Mesobuthus thersites. Figure 9a–9b. Juveniles. Figure 9c. Darker adults. Figure 9d. Lighter adults.
Figure 7 in Scorpions of China: an updated checklist with comments on some taxonomic issues (Arachnida: Scorpiones)
Figure 7. Subadult and adult comparison of Olivierus sp. (cf. longichelus). Figure 7a. Females. Figure 7b. Males.
Figure 5 in Scorpions of China: an updated checklist with comments on some taxonomic issues (Arachnida: Scorpiones)
Figure 5. Examined specimens of Mesobuthus thersites from Urumqi County, Urumqi Municipality, Xinjiang Uygur Autonomous Region. Figure 5a. Typical morph. Figure 5b. Dark morph.
Figure 4 in Scorpions of China: an updated checklist with comments on some taxonomic issues (Arachnida: Scorpiones)
Figure 4. Examined specimens of Olivierus sp. (cf. longichelus) from Wujiaqu City, Changji Prefecture, Xinjiang Uygur Autonomous Region. Figure 4a. Juveniles. Figure 4b. Subadults. Figure 4c. Adults.
Figure 3 in Scorpions of China: an updated checklist with comments on some taxonomic issues (Arachnida: Scorpiones)
Figure 3. Map showing known localities of some Olivierus from China and Kazakhstan: O. longichelus (●), O. sp. (●), O. bolensis (●), "M. c. intermedius" from Kurty (●), O. mikhailovi/"M. c. intermedius" from Chardara (●), O. tarabaevi from Kyzylorda (type locality) (●) and O. tarabaevi from Kapchagai (●).
Figure 2 in Scorpions of China: an updated checklist with comments on some taxonomic issues (Arachnida: Scorpiones)
Figure 2. Map showing known distribution of the parvorder Iurida in China: Scorpiops (solid circle), Liocheles (star), "Tibetiomachus" (triangle), and Deccanometrus (square). Scorpiops asthenurus (●), S. atomatus (●, one largely covered by S. asthenurus), S. hardwickii (●), S. ingens (●), S. jendeki (●), "S. jingshanensis" (●), S. kamengensis (●), S. kubani (●), S. langxian (●, largely covered by S. atomatus and S. hardwickii), S. leptochirus (●), S. lhasa (●), S. lii (●), S. luridus (●, largely covered by S. atomatus), S. margerisonae (●), S. novaki (●, one largely covered by S. asthenurus), S. petersii (●, accurate location unknown), S. puerensis (●), S. shidian (●), S. songi (●), S. taxkorgan (●), S. tibetanus (●, one largely covered by S. lhasa and S. margerisonae, and another by S. langxian), S. vachoni (●, one largely covered by S. langxian), S. validus (●), S. wrzecionkoi (, largely covered by S. tibetanus), S. xui (●), S. yangi (●), S. zhangshuyuani (○); Liocheles. australasiae (★); "Tibetiomachus himalayensis" (▲);Deccanometrus bengalensis (■).
Figure 1 in Scorpions of China: an updated checklist with comments on some taxonomic issues (Arachnida: Scorpiones)
Figure 1. Map showing known distribution of the parvorder Buthida in China: Chaerilus (star), Qianxie (hexagon), Lychas (cross), Isometrus (hollow circle), Reddyanus (plus), Olivierus (solid circle), Mesobuthus (inverse triangle), Hottentotta (square), and Razianus (triangle). Chaerilus assamensis (★), C. conchiformus (★), C. mainlingensis (★), C. pseudoconchiformus (★), C. tessellatus (★), C. tricostatus (★), C. tryznai (★), C. wrzecionkoi (★, largely covered by C. pseudoconchiformus); Qianxie solegladi (⬢, only the type locality is provided); Lychas mucronatus (×); Isometrus maculatus (○); Reddyanus hainanensis (+, accurate location unknown), R. tibetanus (+); Olivierus bolensis (●, one covered by Mesobuthus thersites), O. karshius (●, one covered by O. przewalskii and R. xinjiangensis), O. longichelus (●), O. martensii (●), O. przewalskii (●); M. thersites (▼); Hottentotta songi (■); Razianus xinjiangensis (▲).
Figure 8 in Scorpions of China: an updated checklist with comments on some taxonomic issues (Arachnida: Scorpiones)
Figure 8. Color variation in the typical morph of Mesobuthus thersites. Figures 8a–8b. Juveniles. Figure 8c. Variegated adults. Figure 8d. Normal adults.
Few-Shot Learning for Issue Report Classification
<p>This dataset is a sample of the NLBSE23 dataset for Issue Report Classification, manually re-labeled.</p>
NLBSE22 urls of issues with single label
<p>NLBSE22 urls, removed the ones with multiple label on github / removed also the one which were deleted from github (unable to retrieve the labels)</p>
Aggregated data issued from the JOBIM 2021 'Gender equality observational study'
<p>JOBIM 2021 Gender analysis</p> <p>This repository contains data and script related to our observation study of gender impact on asking behavior during JOBIM 2021. In agreement with our <a href="https://research.pasteur.fr/en/project/jobim-2021-pilot-project-gender-speaking-differences-in-academia/">data policy and RGPD regulations</a>, only aggregated, anonymous and/or publicly available information are posted in this repository. Zoom exports, registration survey and observation files containing names of askers and their accompanying scripts remains private.</p> <p>Citation</p> <p>If you wish to use our data please cite our manuscript: .https://www.biorxiv.org/content/10.1101/2022.03.07.483337v3</p>
The Pollution from Obsolete Issue Report: An Empirical Study
<p>The Pollution from Obsolete Issue Report: An Empirical Study</p> <p>Project summary</p> <p>In software development, programmers use issue trackers to manage their maintenance issues and record valuable maintenance details in issue reports. Based on these issue reports, programmers have enhanced code comprehension and researchers have mined knowledge from issue reports to assist various programming tasks. Although issue reports are useful, some of them can be obsolete, in that their corresponding commits are overwritten or rolled back, with the evolution of software. The obsolete issue reports can invalidate their references and descriptions, and can have far-reaching impacts on the approaches built on them.</p> <p>To deepen the understanding of obsolete issue reports, we conducted the first empirical study to analyze obsolete issue reports. We consider that an issue report is obsolete if its revisions are partially or totally removed in later commits. To measure how an issue report becomes obsolete, we define an obsolete ratio of an issue report as its deleted lines over all its modified lines. In this paper, we build a tool, ICLINKER, to inspect the obsolete issue reports and calculate the obsolete ratios. With ICLINKER, we analyze 70,180 commits and 46,257 issue reports that are collected from five Apache projects. Taking them as our inputs, we explore four research questions, which concern the distributions, the references, and the explanations of obsolete issue reports. Our findings on these research questions enrich the knowledge of obsolete issue reports, and some are even counterintuitive. For example, we find that obsolete issue reports are mixed with other issue reports. As another example, we find that only a small portion of issue reports are mentioned in code comments, but about half of them are obsolete. Based on our results, we analyze some directions that are worthy of exploration.</p> <p>Our identified obsolete ratios</p> <p>We identified the obsolete ratios of the issue reports from five projects. Their obsolete ratios are as follows: calcite.txt, cassandra.txt, derby.txt, hbase.txt, and hive.txt.</p> <p>Our Dataset</p> <p>Our dataset is stored in the data folder.</p>
Fig. 4 in A revision of distribution, ecology and conservation issues of the threatened comb-claw beetle Gerandryus aetnensis (Coleoptera: Tenebrionidae, Alleculinae)
Fig. 4 – Geonemy and area of occupancy (AOO) of Gerandryus aetnensis (Rottenberg, 1871). Main figure, species geonemy; boxes, AOO calculation. Symbols: triangles, new records; circles, literature records; black cross, extinct in the site; yellow, records ante 2000; green, records post 1999 (main figure); large squares, 10 x 10 km grid cells; small squares, 2 x 2 km grid cells (boxes).
Figs 1-3 in A revision of distribution, ecology and conservation issues of the threatened comb-claw beetle Gerandryus aetnensis (Coleoptera: Tenebrionidae, Alleculinae)
Figs 1-3 – Collecting sites of Gerandryus aetnensis (Rottenberg, 1871). 1, Val Clarea, Piedmont (photo D. Bellone); 2, burned pine woods of Colle delle Vacche, Majella, Abruzzo (photo A. B. Biscaccianti); 3, Bosco Afreni, Aspromonte, Calabria (photo A. B. Biscaccianti).
A Taxonomy of C Decompiler Fidelity Issues
<p>This archive contains the supplementary material and dataset for the USENIX Security paper “A Taxonomy of C Decompiler Fidelity Issues.”</p> <p> </p> <p>The dataset archive contains all coded examples and a decompiler comparison summary table.<br> </p> <p>The codebook file contains a detailed description of each code in the taxonomy as well as additional details about the coding process, including a definition of alignment and a list of benign issues.</p>
Figure 1 in Hard tissues in fish evolution: history and current issues
Figure 1. – Appearance of elasmoid scales within osteichthyans shown on an interrelationship scheme of Osteichthyes after Long et al. (2015), Schultze (2015), and King et al. (2017) for the lower part and after Giles et al. (2017) for the actinopterygians above Ligulalepis. Node A = Osteichthyes: de, dentine, i, isopedine, r, rhomboid scale; node B = de, dentine, en, enamel, i, isopedine, r, rhomboid; node C = Sarcopterygii: el, elasmoid; node C' = r, rhomboid, co, cosmine (dipnoi are represented by Diabolepis and their elasmoid scale by that of Neoceratodus); node D = Actinopterygii: ga?, questionable for basal taxa, r, rhomboid; canal system of Andreolepis typical for lower actinopterygians and osteichthyans; node D' = a, acrodine in Ligulalepis (after Schultze, 2015: fig.13) and higher actinopterygians, ga, ganoine, r, rhomboid (only branches with elasmoid scale are named in lower actinopterygians). Scales of Lophosteus superbus after Gross (1968, fig. 1A), of Actinistia after Smith (1940: fig. 70, Latimeria chalumnae), Onychodontida after Andrews et al. (2006: fig. 60b, Onychodus jandemarrai), of Dipnoi after Kerr (1955: fig. 4B, Neoceratodus), of Rhizodontida after Long (1989: fig. 13, Barameda decipiens), of Tristichopterida after Jarvik (1980: fig. 138 B3, Eusthenopteron foordi), of Holoptychiidae after Ørvig (1957: fig. 13A, Holoptychius sp.), of Sphaerolepis after Fritsch (1893: pl. 109, fig. 5), of Polypteridae after Rauther (1929: fig. 136, Erpetoichthys calabricus), of Coccolepis combination after Agassiz (1843: vol. 2, pl. 26, fig. 7) and Schultze (1996: fig. 4), of Eurycormus (original), of Leptolepis coryphaenoides (original), and of an amiid after Grande and Bemis (1998: fig. 201, Cyclurus macrocephalus).
Supplement material for the paper "On the Relationship between User Churn and So!ware Issues"
<p>The data represented as CSV files containing the alternatives, the comments, the reviews, and the issue reports studied in the paper.</p>
Understanding the Nature of System-Related Issues in Machine Learning Frameworks: An Exploratory Study
<p>Modern systems are built using development frameworks. The infrastructure provided by these frameworks have a major impact on how the developed system executes, how configurations are managed, how it is tested, and how and where it is deployed. Machine learning (ML) systems have revolutionized multiple industries and come with different kinds of frameworks. Naturally, the issues that manifest in such systems may differ as well---as may the behavior of developers correcting those issues. We are interested in characterizing the types of system-related issues---issues impacting performance, memory and resource usage, and other quality attributes---that emerge in machine learning frameworks, and how they differ from those in traditional frameworks. To this end, we have conducted a large-scale exploratory study analyzing real-world system-related issues from 10 popular machine learning frameworks.<br> <br> Our findings offer a number of interesting observations, with implications for the development of machine learning systems, including differences in the frequency of occurrence of certain issue types, observations regarding the impact of debate and time on issue correction, and differences in the specialization of developers. We hope that this exploratory study will enable developers to improve their expectations, plan for risk, and allocate resources accordingly when making use of the tools provided by these frameworks to develop ML-based systems.</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.