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2,863 results for “Challenge”
Fig 3 in Opportunities and its challenges in fish production: The case of Lake Koka, East Showa Zone, Oromia National Regional State, Ethiopia
Fig 3: Waste disposal canal to Lake Koka from Ethiopian tannery, February, 15/2020
Figure 2 in Challenges of drug-resistant malaria
Figure 2. Different parameters that contribute to antimalarial resistance.
An early-life challenge: becoming an older sibling in wild mandrills
<p>In monotocous mammals, most individuals experience the birth of a younger sibling. This period may induce losses in maternal care and can be physiologically, energetically and emotionally challenging for the older sibling, yet has rarely been studied in wild primates. We used behavioural data collected from a natural population of mandrills to investigate changes in maternal care and mother-juvenile relationship throughout the transition to siblinghood (TTS), by comparing juveniles who recently experienced the birth of a younger sibling, to juveniles who did not. We found that the TTS was associated with an abrupt cessation of the weaning process for the juvenile, and to a decrease in maternal affiliation. Juveniles' reactions were sex-specific, as males associated less with their mother, while females tended to groom their mother more often after the birth of their sibling. Despite the substantial loss of maternal care juveniles did not show an increase in conflict or anxiety-related behaviours. This study contributes to explain why short interbirth intervals often pose a risk to juveniles' survival in monotocous primates. Our results contrast existing studies and further highlights the importance of examining the TTS in species and populations with various life histories and ecologies.</p>
Interview guide of study conducted on: Identification of the challenges teachers face in teaching small problem-based learning (PBL) groups in the College of Medicine, King Faisal University, Kingdom of Saudi Arabia
<p><strong>Background:</strong> Recognizing the challenges that teachers face offers a platform for devising innovative teaching strategies, thereby boosting teacher performance. This study seeks to pinpoint the obstacles teachers encounter while conducting small problem-based learning (PBL) groups and to recommend measures that guide educational institutions in determining teacher training needs. Furthermore, the study explores the creation of interventions to bolster PBL teaching practices.</p> <p><strong>Methods:</strong> Utilizing a qualitative approach, semi-structured interviews were administered, prompting participants to contemplate the difficulties of instructing small PBL groups. Ten medical educators, purposefully selected based on their PBL teaching experience, participated. Verbatim transcripts were meticulously analysed using thematic analysis, facilitating code production, comparison, and overarching theme generation.</p> <p><strong>Results:</strong> The data underscored challenges associated with adopting PBL in a traditional educational setting, emphasizing the imperative for honed facilitation skills, fostering motivation towards PBL, and addressing the ramifications of students' conventional learning backgrounds. Notably, the accruement of experience over time, the enhanced confidence from managing diverse PBL groups, and the importance of knowledge exchange and shared experiences emerged as vital for PBL educators' professional growth.</p> <p><strong>Conclusions: </strong>Actively supporting teachers as they navigate shifts in their roles and urging the incorporation and adept application of teaching techniques can elevate teacher efficacy. Recommendations include the initiation of a teacher development program, the allocation of ample time and resources for student participation in PBL activities, the introduction of a comprehensive teacher assessment system, and the integration of quantitative research methods to further enrich teacher practices and professional advancement.</p>
Fig. 24 in New insights in the taxonomy of Lepismatidae (Insecta, Zygentoma) with an updated key to genera and future challenges
Fig. 24. World distribution of representatives of the subfamily Mirolepismatinae Mendes, 1991.
Fig. 22 in New insights in the taxonomy of Lepismatidae (Insecta, Zygentoma) with an updated key to genera and future challenges
Fig. 22. World distribution of representatives of the subfamily Heterolepismatinae Mendes, 1991.
Fig. 23 in New insights in the taxonomy of Lepismatidae (Insecta, Zygentoma) with an updated key to genera and future challenges
Fig. 23. World distribution of representatives of the subfamily Lepismatinae Latreille, 1802.
Fig. 21 in New insights in the taxonomy of Lepismatidae (Insecta, Zygentoma) with an updated key to genera and future challenges
Fig. 21. World distribution of representatives of the subfamily Ctenolepismatinae Mendes, 1991.
Fig. 20 in New insights in the taxonomy of Lepismatidae (Insecta, Zygentoma) with an updated key to genera and future challenges
Fig. 20. World distribution of representatives of the subfamily Acrotelsatinae Mendes, 1991.
Fig. 25 in New insights in the taxonomy of Lepismatidae (Insecta, Zygentoma) with an updated key to genera and future challenges
Fig. 25. World distribution of representatives of the subfamily Silvestrellatinae Mendes, 1991.
Multi-omics analysis reveals regime shifts in the gastrointestinal ecosystem in chickens following anticoccidial vaccination and Eimeria tenella challenge
<p>A multi-omics study integrating gut microbiota and host metabolome to investigate the gastrointestinal health markers in broiler chickens (Cobb500) from an anti-coccidiosis vaccine trial.</p>
Figure 1 in Challenges of nanotechnology in cosmetic permeation with caffeine
Figure 1. Human skin. Fonte: Vanputte et al. (2016).
Results outputs for "Beyond the Hype: Identifying and Analyzing Math Word Problem-Solving Challenges for Large Language Models"
<p>The provided files contain outputs generated by various Large Language Models (LLMs) for solving problems in the SVAMP dataset. Additionally, they include tagged statements of problems that LLMs incorrectly resolved.</p> <p>This repository includes the following two files:</p> <ul> <li>all_data.json --> Contains the generated samples for the SVAMP dataset.</li> <li>df_combined.pkl --> Contains the tagged SVAMP statements of problems that CodeLlama failed to resolve.</li> </ul>
Supporting material for the paper "Testing Robot Challenge: a Serious Game for Testing Learning"
<p><strong>Experimental data</strong></p> <p>Table reporting the frequencies of student answers to the 29 questions (1 = Strongly Disagree, 5 = Strongly Agree) to the survey about the use of the Testing Robot Challenge Web application.</p> <p> </p> <p><strong>Figures</strong></p> <ul> <li>Game Main Page</li> <li>End Game Page</li> <li>Game mechanics of the Testing Robot Challenge</li> <li>Game Selection Page</li> <li>Home Page</li> <li>Software Architecture</li> </ul>
An Empirical Study on Challenges of Event Management in Microservice Architectures
<p>Data set of the submitted manuscript "An Empirical Study on Challenges of Event Management in Microservice Architectures"</p>
How many trees do you see? (FR-001 challenge extension) – FabSpace HackOnEarth (ICCS)
<p>Sentinel 2 data used for supporting the "How many trees do you see?" (FR-001 extension) challenge – FabSpace HackOnEarth (ICCS)</p>
Tendencies and challenges in worldwide research on PROBIOTICS
<p>We include several tables on research in probiotics, including the number of funded and unfunded published articles and the number of citations during the period under study (2009-2018); 1829 different journals; thematic areas of the journals in which the works were published; countries of publication and key words.</p>
H1N1 A/Netherlands/602/2009 challenge data to assess efficacy of universal flu candidates FL H1#2316 and UFV#4157
<p>Purpose:<br> This H1N1 A/Netherlands/602/2009 challenge was performed to assess if B- and T- cell subsets frequencies kinetics of mature B-cell subsets residing in the iliac lymph nodes after immunization, can predict the protective efficacy of the used immunization regimen this murine challenge model.</p> <p>Method:<br> We compared B and T cell subset frequencies between cohorts of mice subjected to immunization regimens inducing different levels of protection against lethal H1N1 influenza challenge. Naïve 8-weeks old mice were immunized three times, at days 0, 21 and 42 with different immunogens. One cohort of animals was vaccinated received a largely protective vaccine containing a high dose (30 µg) of a trimeric full-length H1 HA antigen (FL H1#2316) that provides heterologous protection against H1N1 A/Netherlands/602/2009 while a second cohort received a minimally protective vaccine containing a high dose (30 µg) of an HA stem-based monomeric antigen (UFV#4157) derived from FL H1#2316 To control for differences in immune responses related to the dose rather than intrinsically protective properties of the used immunization antigen, a lower but partiallly protective protective dose (0.3 µg) of FL H1#2316 was used for immunizations of a third cohort, while as a negative control for survival a fourth cohort was immunized with PBS only. All immunizations, including mock-immunizations with PBS, were adjuvanted with alum. To analyze cellular responses at early and late timepoints of GC reactions after prime or boost immunizations, 8 animals per cohort were sacrificed at 8 different timepoint (days 4, 7, 12, 19, 25, 28, 46 and 49). To assess the protective efficacy of the administered vaccine regimens, 10 animals per immunized cohort were challenged intranasally with a lethal dose of 25xLD50 H1N1 A/Netherlands/602/2009, heterologous to the parental H1 virus strain.<br> <br> Results:<br> After influenza challenge we observed that high (30 µg) and low (0.3 µg) doses of FL H1#2316 conferred survival rates of 80% and 60% respectively, while a high dose (30 µg) of UFV#4157 failed to provide any protection. All the animals that received PBS immunization succumbed to the infection.</p> <p>For further results regarding B and T cell expansion, please review the publication.</p>
'No results or wrong' - Methodological Challenges in Computational Literary Studies
<p>4th lecture</p>
CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data
<p>This is the train and testing dataset of Combined (CT-MR) Healthy Abdominal Organ Segmentation (CHAOS) Challenge. This data consists of images of Abdominal CT and MRI from different patients.</p> <p>There are 20 training and 20 testing cases in the CT dataset. MRI dataset contains 20 training and 20 testing cases with T1-Dual and T2 SPIR sequences. Train data contains both DICOM images and their ground truth masks. The testing set only contains DICOM images. In CT cases only livers were annotated. In MRI cases, livers, left/right kidneys, and spleens were annotated. For further information about the data and challenge, please visit <a href="https://chaos.grand-challenge.org/">https://chaos.grand-challenge.org/</a> and read the <a href="https://www.dropbox.com/s/b8ka7tcxm45mlq4/CHAOS_Submission_Manual_new.pdf?dl=1">CHAOS_Submission_Manual.pdf</a></p> <p><em><strong>Important note: </strong>Ground truths/references of the test data are reserved for challenge validation and <strong>will never be shared publicly. </strong>Such requests will be ignored<strong>.</strong></em></p> <p>Scientists may use this data not only join to the CHAOS challenge but also for other works as long as they give appropriate credit, provide a link to the license, and indicate if changes were made.</p> <p>Bibtex:</p> <pre><code>@dataset{CHAOSdata2019, author = {Ali Emre Kavur and M. Alper Selver and Oğuz Dicle and Mustafa Barış and N. Sinem Gezer}, title = {{CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data}}, month = Apr, year = 2019, publisher = {Zenodo}, version = {v1.03}, doi = {10.5281/zenodo.3362844}, url = {https://doi.org/10.5281/zenodo.3362844} }</code></pre> <p>IEEE Style:</p> <pre><code>Ali Emre Kavur, M. Alper Selver, Oğuz Dicle, Mustafa Barış, and N. Sinem Gezer, "CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data". Zenodo, 11-Apr-2019.</code></pre> <p>APA Style:</p> <pre><code>Ali Emre Kavur, M. Alper Selver, Oğuz Dicle, Mustafa Barış, & N. Sinem Gezer. (2019). CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data (Version v1.03) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3362844</code></pre> <p> </p>
ScienceDex guides
Understand access before you commit
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.