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2,863 results for “Challenge”
Figures 84–87 in Taxonomy and phylogeny of the Asphondylia species (Diptera: Cecidomyiidae) of North American goldenrods: challenging morphology, complex host associations, and cryptic speciation
Figures 84–87. Clinodiplosis comitis sp. nov.: 84, female post-abdomen; 85, larva head and prothorax; 86, male terminalia, dorsal; 87, larva terminal segment with associated papillae. Scale bars: 0.1 mm.
Figures 78–83 in Taxonomy and phylogeny of the Asphondylia species (Diptera: Cecidomyiidae) of North American goldenrods: challenging morphology, complex host associations, and cryptic speciation
Figures 78–83. Clinodiplosis comitis sp. nov.: 78, head; 79, male flagellomere 3; 80, female flagellomere 9; 81, female flagellomere 12; 82, wing; 83, acropod. Scale bars: 0.1 mm.
FIGURE 5 in Taxonomic position and circumscription of Cardamine barbaraeoides (Brassicaceae), a systematically challenging taxon from the Balkan Peninsula
FIGURE 5. Box-and-whisker plots of the most important qualitative morphological characters discriminating between Cardamine acris, C. amara, C. barbaraeoides and C. raphanifolia.
FIGURE 1 in Taxonomic position and circumscription of Cardamine barbaraeoides (Brassicaceae), a systematically challenging taxon from the Balkan Peninsula
FIGURE 1. Map showing our sample sites and the localities of herbarium specimens from Greece revised by us. The sample sites used in the morphometric analyses are indicated by grey symbols: grey stars denote Cardamine barbaraeoides and grey crosses C. acris (see Table 2 for more details). The localities of the revised herbarium specimens are indicated by white symbols: white stars represent specimens confirmed as C. barbaraeoides (see Appendix 1) and white circles denote specimens of C. acris that were previously misidentified as C. barbaraeoides (see Appendix 2). Floristic regions of Greece according to Strid (1986) are delimited by dashed lines and named in italics.
FIGURE 4 in Taxonomic position and circumscription of Cardamine barbaraeoides (Brassicaceae), a systematically challenging taxon from the Balkan Peninsula
FIGURE 4. Canonical discriminant analyses based on individual plants and two predefined groups in each analysis: Cardamine barbaraeoides and C. amara (A), C. barbaraeoides and C. acris (B), and C. barbaraeoides and C. raphanifolia (C). The analyses were based on nine morphological characters and ten ratios.
FIGURE 3 in Taxonomic position and circumscription of Cardamine barbaraeoides (Brassicaceae), a systematically challenging taxon from the Balkan Peninsula
FIGURE 3. Canonical discriminant analysis of individuals of Cardamine barbaraeoides, C. amara, C. acris and C. raphanifolia, based on nine morphological characters and ten ratios.
FIGURE 6 in Taxonomic position and circumscription of Cardamine barbaraeoides (Brassicaceae), a systematically challenging taxon from the Balkan Peninsula
FIGURE 6. Drawings of Cardamine barbaraeoides (A), C. acris subsp. acris (B), and C. amara subsp. balcanica (C). Scale bar − 5 cm. Drawn by Jana Ficová.
Evaluation Data for the paper "Demystifying the Dependency Challenge in Kernel Fuzzing" in ICSE 2022 Technical Tracks.
<p>Evaluation Data for the paper "Demystifying the Dependency Challenge in Kernel Fuzzing" in ICSE 2022 Technical Tracks.</p> <p> </p> <p>2.1 results of static analysis.zip<br> - Metadata collected when fuzzing (protobuf format)<br> - the related protobuf files are in https://github.com/ZHYfeng/Dependency/05-proto<br> - Information to support manual analysis (generated by metadata and static analysis)<br> - with name "0xffffffffaddress.txt", including every information about this uncovered address.</p> <p>2.2 results of manual analysis.zip<br> - Information of non-UD and UD for each module<br> - Overall statistic data, for example, coverage, prevalent of UD<br> - Sample cases and accuracy checking of sampled UD and its WS<br> - Root causes of sampled UDs</p> <p>2.3 example case.zip<br> - example cases of different root causes</p>
Figures 62–69 in Taxonomy and phylogeny of the Asphondylia species (Diptera: Cecidomyiidae) of North American goldenrods: challenging morphology, complex host associations, and cryptic speciation
Figures 62–69. Pupal heads: 62, 63, Asphondylia monacha, spring generation; 64, 65, Asphondylia monacha, summer generation; 66, 67, Asphondylia solidaginis; 68, 69, Asphondylia rosulata sp. nov. Scale bars: 200 μm.
FIGURE 1 in Considering challenging insights from a taxonomic misidentification
FIGURE 1. Right hemimaxillaries in ventral view: a, Mus sp. from Sabazan, Carriacou (SFU 0707CSZ000024-M-249, originally identified as Zygodontomys brevicauda, modified from Mistretta et al. 2021: fig. 7); b, Mus musculus from La Angostura, Chubut, Argentina (Colección "Elio Massoia," Centro Nacional Patagónico, Puerto Madryn, Argentina; CNP-E 774); c, Rattus sp. from Gaiman, Chubut, Argentina (CNP-E 852). All the materials approximately scaled to the same size.
Video: Paradigm Shift In Plant Protection, A Challenge Of Huanglongbing (Hlb) Disease Management Strategy Inovation
<p>This material has presented on 1st International Conference on Advance Research in Agriculture and Food. October 25, 2022</p>
Trojan Detection Challenge - Final Round Dataset
<p>This contains the dataset for the Final Round of the Trojan Detection Challenge NeurIPS 2022 competition. To learn more, please see the <a href="http://trojandetection.ai/">competition website</a>.</p>
Tropical Forest Monitoring: Challenges and Recent Progress in Research
<p>Data accompanying: </p> <p><em>Remote Sens.</em> <strong>2021</strong>, <em>13</em>(12), 2252; <a href="https://doi.org/10.3390/rs13122252">https://doi.org/10.3390/rs13122252</a></p>
TECHNOLOGICAL PROGRESS AS A CHALLENGE TO THE DEVELOPMENT OF LAW: Directions and Perspectives for the 21st Century
<p>[International Scientific Conference on »Challenges and Perspectives of the Development of Legal Systems in the XXI Century« organised by the University of Banja Luka Faculty of Law on September 15, 2022] [13:15]</p> <p>1. Introduction 2. Challenges to be Responded Directly 3. The Law Getting New Dimensions 4. Changes in Law 5. A New Paradigm for Understanding the Social Order</p>
Agile Challenges - Focus Group Session 1
<p>PDF with the final result of the Focus Group Session #1 to discovery correlations between challenges. </p>
Data for: A hierarchical framework for unpacking the nitrogen challenge
<p>To feed the world population while mitigating pressing nitrogen (N) pollution problems, tremendous efforts have been devoted to developing and implementing N-efficient technologies in food production, but limited progress has been made. The N management improvement on a farm does not necessarily translate to N pollution reduction on a broader scale due to complex responses of natural and human systems and lack of coordination among stakeholders. Consequently, it is imperative to develop an N management framework that encompasses the complex N dynamics across systems and spatial scales, yet simple enough to guide policies and actions of various stakeholders. Here, we propose a new framework, <em>CAFE</em>, that defines four N management systems (Cropping, Animal-crop, Food, and Ecosystem) in a hierarchical manner, and apply it to 13 representative countries to partition N surpluses across systems in a simple and consistent manner, thereby facilitating the identification and prioritization of systems-based intervention strategies. Surprisingly, the Cropping system contributes less than half of the total N surplus within its Ecosystem for most countries, highlighting the importance of N management beyond croplands. As N surplus increases along the <em>CAFE</em> hierarchy, systems-based intervention strategies are revealed: coupling chemical fertilizers with other N sources by maintaining half of the N from manure and N bio-fixation; coupling animal-crop production by reducing animal density to lower than 1.2 livestock units, and increasing self-sufficiency of animal feed to above 50%; coupling food trade with domestic demand and production; and coupling population needs for economic opportunities with environmental capacity of the region.</p>
Extraction Forms about Challenges and Problems of Software Processes in the Context of Global Software Development: A Systematic Mapping Study
<p>Extraction Forms of the Systematic Mapping Study about Challenges and Problems of Software Processes in the Context of Global Software Development. 50 papers were analized.</p>
Dataset for ImmuneAI challenge
<p>The analysis results for ImmuneAI perturbation prediction challenge</p>
Understanding the Teamwork Challenges of Software Engineering Students
<p>Developing collaborative skills in students is nontrivial. The fact that students work in teams does not mean they become skilled in teamwork. Students face varied challenges when working in teams that harm their skill development and attitude towards teamwork. To prepare students for the collaboration-intensive workplace, we researched and designed a catalog of challenges present in the teamwork of undergraduate software engineering students on 3-month projects.</p> <p>We created an initial catalog of 10 challenges by examining the literature, surveying 15 teaching assistants, and coding their opinions regarding the problems faced by student teams. Using the catalog, we crafted a survey for students nearing the end of their team project to assess which challenges were present in their teamwork. We surveyed students from multiple contexts, including teams of 3, teams of 4, and teams of 16 students.</p> <p>We analyzed 155 answers to determine the prevalence and intensity of the 10 challenges in student teams. We discuss our findings and best practices for resolving the most prevalent challenges. The catalog and recommendations are directly valuable for software engineering educators and can inform the broader community of collaborative learning researchers and instructional designers.</p>
Polygenic risk score in Africa populations: progress and challenges
<p>Polygenic Risk Score (PRS) analysis is a method that predicts the genetic risk of an individual towards targeted traits. Even when there are no significant markers, it gives evidence of a genetic effect beyond the results of Genome-Wide Association Studies (GWAS). Moreover, it selects SNPs that contribute to the disease with low effect size making it more precise at individual level risk prediction. PRS analysis addresses the shortfall of GWAS by taking into account the SNPs/alleles with low effect size but play an indispensable role to the observed phenotypic/trait variance. PRS analysis has application which investigate the genetic basis of several traits which includes rare diseases. However, the accuracy of PRS analysis depends on the genomic data of the underlying population. For instance, several studies show that obtaining higher prediction power of PRS analysis is challenging for non-Europeans. In this manuscript, we reviewed the conventional PRS methods and their application to Sub-Saharan African communities. We concluded that lack of sufficient GWAS data and tools is the limiting factor of applying PRS analysis to Sub-Saharan populations. We recommend developing Africa-specific PRS methods and tools for estimating, and analyzing Africa population data for clinical evaluation of PRSs of interest and predicting rare diseases.</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.