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54 results for “control tools”
Data for: A tool based on the Industry Foundation Classes standard for dynamic data collection and automatic generation of Building Automation Control Networks
<p>This dataset shows the results obtained for a case study at TRL4 for the research paper title <em><strong>A tool based on the Industry Foundation Classes standard for dynamic data collection and automatic generation of Building Automation Control Networks</strong></em>, with DOI: https://doi.org/10.1016/j.jobe.2023.107625</p> <p>This dataset is an enhanced IFC (Industry Foundation Classes) file with the creation of the BACN (Building Automation Control Network). This IFC file includes the devices created automatically by the BACN2BIM tool (developed by CARTIF Technology Centre) for the case study validated at TRL4. The original IFC was obtained from the Institute for Automation and Applied Informatics (IAI) / Karlsruhe Institute of Technology (KIT) https://www.ifcwiki.org/images/e/e3/AC20-FZK-Haus.ifc, under an unrestricted license, as served as one of the case studies for this research.</p> <p>*Depending on the IFC viewer used, the included sensors may not be represented correctly. In this case, it is recommended to try with another IFC viewer, for example xBIM explorer https://docs.xbim.net/downloads/xbimxplorer.html or BimCollab Zoom Free https://www.bimcollab.com/en/support/downloads/</p>
Fiware-enabled tool for real-time control of the raw-water conveyance system of Athens
<p>This database includes the data used to produce the results for the following article:</p> <p>Bellos, V., Kossieris, P., Efstratiadis, A., Papakonstantis, I., Papanicolaou, P., Dimas, P., Makropoulos, C. 2022. Fiware-enabled tool for real-time control of the raw-water conveyance system of Athens. Proceedings of the 39th IAHR World Congress, 19-24 June 2022, Granada, Spain (accepted paper for oral presentation, in press). </p>
Figure 1 in A review of nonlethal and lethal control tools for managing the damage of invasive birds to human assets and economic activities
Figure 1. The number of studies (i.e., field, lab, and modeling) using A) lethal methods to control populations at nesting, foraging, loafing, and roosting sites, B) nonlethal methods to control damage at urban nesting, foraging, loafing, and roosting sites, and C) nonlethal methods to control damage at agricultural foraging sites, including those conducted in the native or introduced ranges of the following birds considered invasive in the United States: rock doves (Columba livia; RODO), Eurasian collared doves (Streptopelia decaocto; EUCD), rose-ringed parakeets (Psittacula krameri; RRPA), monk parakeets (Myiopsitta monachus; MOPA), common mynas (Acridotheres tristis; COMY), European starlings (Sturnus vulgaris; EUST), and house sparrows (Passer domesticus; HOSP). Above each column on the left-hand side is the number of studies that were conducted in the field (i.e., not laboratory or modeling studies; if a study used multiple tools it was counted for each tool). The right-hand side is the subset of field studies for each category (D–F) that included damage assessments in the results.
Figure 1 in Integrating landscape simulation models with economic and decision tools for invasive species control
Figure 1. Example state and transition simulation model for an invasive species. Landscape change is captured by defining the processes (transitions) that can move a cell from one state to another. These include both natural transitions (e.g., species dispersal, establishment, growth, fire, disturbance) and management transitions (e.g., inventory, treatment, and other activities related to invasion control). In this example, modified from Jarnevich et al. (2015), each box represents the state of a simulation cell with respect to invasive species cover (uninvaded, <5% cover, 5–50% cover, or> 50% cover; left to right) and detection (undetected or detected; top to bottom). The different color-coded arrows represent different types of transitions including growth (invasion, establishment, spread), detection (failure and success), and management (treatment and maintenance failure and success). Solid lines represent success; dotted lines represent failure.
Improving source code change set analysis by using a visual tool. Controlled experiment dataset.
<p>Modern software development is performed by developing features in isolated branches by each member of a software development team. When these branches need to be integrated, they have to be manually reviewed by an integrator. Source code reviewing can be a tedious and time consuming task, which is normally performed by hand reviewing a textual diff of the change set.</p> <p>The difficulty of reviewing source code changes can have a negative impact on the accep- tance of these changes. It has been shown that this can imply the rejection of important bug fixes for a software project.</p> <p>In order to facilitate the task of reviewing source code change sets, we designed and implemented a visual tool. Our visual tool helps in assessing source code change sets by providing different views of the change set: an overall overview of the change set with metrics, and a visualization representing the structural changes in the source code. We evaluated our visual tool by performing a controlled experiment with software practitioners.</p> <p>Our experimental results show no significant differences between using our visual tool and a textual diff tool in the following terms: time of analysis, precision of the analysis, and inference of intention of changes. However, we did find a positive user perception, and a reduced mental load when using our visual tool.</p> <p>Anonymized datasets with the answers to the controlled experiments for evaluating the Git Thermite visual tool for assessing source code change sets. Copies of these datasets are provided in both, CSV format, and OpenDocument format.</p> <p>Exact copies of the learning materials that was provided to the participants during the execution of the controlled experiments is also included along the dataset.</p>
Fig. 3 in Exorchis sp. in the catfish Silurus asotus and Oncomelania hupensis in marshlands of Poyang Lake, China: A potential biological control tool for Schistosoma japonicum
Fig. 3. The prevalence of Exorchis sp. in S. asotus collected from the marshland of Poyang Lake from 2012 to 2016. (A) The adult S. asotus fish collected from Shi Li Hu were kept in plastic containers supplied with water. (B) The intestine of collected S. asotus fish were dissected in a glass Petri dish containing 0.75% saline solution. (C) The isolated Exorchis sp. adult trematodes isolated from the intestine of infected S. asotus. (D) The infection rate of Exorchis sp. in S. asotus is 56.82%, 75.56%, 67.09%, 63.81% and 72.18% from 2012 to 2016, respectively. (E) The intensity of infection of Exorchis sp. in S. asotus is 14.45, 15.24, 16.87, 14.18 and 12.22 per fish from 2012 to 2016, respectively. (F) The average infection rate of Exorchis sp. in S. asotus collected from the marshland of Poyang Lake from 2012 to 2016 was 65.79%. (G) The average intensity of infection of Exorchis sp. in S. asotus collected from the marshland of Poyang Lake from 2012 to 2016 was 14.21 per fish.
Fig. 2 in Exorchis sp. in the catfish Silurus asotus and Oncomelania hupensis in marshlands of Poyang Lake, China: A potential biological control tool for Schistosoma japonicum
Fig. 2. The infection rate of Exorchis sp. in O. hupensis collected from the marshland of Poyang Lake from 2012 to 2015. (A) The natural habitat of O. hupensis. (B) High grass region inhabited by large numbers of O. hupensis are shown, and the snails were marked with red arrows. (C) The cercaria of Exorchis sp. collected from O. hupensis. (D) The infection rate of Exorchis sp. in O. hupensis was 1.87%, 0.51%, 1.06% and 0.14% from 2012 to 2015, respectively. (E) The average infection rate of Exorchis sp. in O. hupensis collected from the marshland of Poyang Lake from 2012 to 2015 was 1.11%. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Exorchis sp. in the catfish Silurus asotus and Oncomelania hupensis in marshlands of Poyang Lake, China: A potential biological control tool for Schistosoma japonicum
Fig. 1. Geographical location of the study area. Poyang Lake is located in the middle and lower reaches of the Yangtze River and in the north of Jiangxi Province. This study was conducted at Shi Li Hu (29◦ 25′ N, 116◦ 01′ E) in Xingzi county, Jiujiang City, Jiangxi Province, which is located on the western bank of the Poyang Lake in southern China.
Raw data for "A-Proof-of -Concept: In vivo Volatile Organic Compounds Secretion Monitoring as a Tool for Prediction of Natural Pest Control Ability"
<p>This upload refers to work entitled "A-Proof-of -Concept: In vivo Volatile Organic Compounds Secretion Monitoring as a Tool for Prediction of Natural Pest Control Ability" and contains the unprocessed data obtained during experiments perform. </p>
CS10 - Tambaqui production Brazil - economic effects of genomic control tools 2022
<p>Datasets for cost benefit analysis of the implementation of the genomic control technology Tambaplus parentesco for tambaqui production in Brazil.</p>
The Utilization of Yoga as a Therapeutic Tool to Promote Physical Activity Behavior Change and Improved Postural Control in Individuals With Multiple Sclerosis
ClinicalTrials.gov study NCT04113135. IPD Sharing: YES. Countries: 1. Publications: 34.
Randomized Controlled Trial of a Patient Activation Tool in Pediatric Appendicitis (Antibiotics Alone vs. Appendectomy)
ClinicalTrials.gov study NCT02110485. IPD Sharing: NO. Countries: 1. Publications: 2.
A Randomized Controlled Trial of an Advanced Care Planning Video Decision Support Tool for Patients With End-Stage Liver Disease
ClinicalTrials.gov study NCT03557086. IPD Sharing: NO. Countries: 1. Publications: 1.
Randomized Controlled Trial of a Risk Reframing Tool to Change Mothers' Parenting Associated With Children's Risky Play
ClinicalTrials.gov study NCT03374683. IPD Sharing: YES. Countries: 1. Publications: 4.
CV Wizard: Does a Clinical Decision Support Tool Improve CVD Risk Factor Control in Safety Net Clinics?
ClinicalTrials.gov study NCT03001713. IPD Sharing: Not stated. Countries: 1. Publications: 3.
SCENT for GLAM: a tool for giving meaning to professional controlled vocabularies
<p><span>This paper discusses SCENT for GLAM, which stands for Semantic and Collaborative Environment for a Network of Terminology for Galleries, Libraries, Archives and Museums. SCENT for GLAM offers a number of features that allow an institution to create or import terminology, to convert it into SKOS format, to edit it, make alignments with other terminologies from the same institution or another one and finally publish and share this terminology and alignments. The idea is to provide a repository of terminologies that will include all of the cultural sector concepts.</span></p>
Effectiveness of Using 2D Atlas and 3D PDF as a Teaching Tool in Anatomy Lectures in Initial Learner Medical Students: A Randomized Controlled Trial
<p><strong>Dataset Info</strong></p> <p><strong>1) Immediate Test</strong></p> <p># The first row of the dataset identifies the columns.<br> # The first column represents the participant ids.<br> # The second column represents the participants' assigned group.<br> # The third column represents represents the genders of participants (1: Female, 2: Male)<br> # The fourth column represents the years of participants' in their six-year-long medical schools (1: Year-1 students, 2: Year-2 students).<br> # The fifth column represents participants' repeating year status. (0: No, 1: Yes)<br> # The sixth to the fifteenth columns (liver_q1_max2points to liver_q10_max2points) represent the scores in the first to tenth questions of the liver test. Maximum points of the questions can be seen on the first row of the relevant column.<br> # The sixteenth column (livertotalscore_max20points) represents the total score in the liver test.<br> # The seventeenth to the thirty fifth columns (genitalia_q1_max3points to genitalia_q19_max2points) represent the scores in the first to nineteenth questions of the genitalia test. Maximum points of the questions can be seen on the first row of the relevant column.<br> # The thirty sixth column (genitaliatotalscore_max40points) represents the total score in the genitalia test.</p> <p> </p> <p><strong>2) Delayed Test</strong></p> <p># The first row of the dataset identifies the columns.<br> # The first column represents the participant ids.<br> # The second column represents the participants' assigned group.<br> # The third column represents represents the genders of participants (1: Female, 2: Male)<br> # The fourth column represents the years of participants' in their six-year-long medical schools (1: Year-1 students, 2: Year-2 students).<br> # The fifth column represents participants' repeating year status. (0: No, 1: Yes)<br> # The sixth to the fifteenth columns (liver_q1_max2points to liver_q10_max2points) represent the scores in the first to tenth questions of the liver test. Maximum points of the questions can be seen on the first row of the relevant column.<br> # The sixteenth column (livertotalscore_max20points) represents the total score in the liver test.<br> # The seventeenth to the thirty fifth columns (genitalia_q1_max3points to genitalia_q19_max2points) represent the scores in the first to nineteenth questions of the genitalia test. Maximum points of the questions can be seen on the first row of the relevant column.<br> # The thirty sixth column (genitaliatotalscore_max40points) represents the total score in the genitalia test.</p>
Preference-based Tools for Smoking Cessation Among Disadvantaged Smokers, a Pragmatic Randomised Controlled Trial
ClinicalTrials.gov study NCT04654585. IPD Sharing: NO. Countries: 1. Publications: 1.
Professional Continuous Glucose Monitoring as an Adjuvant Educational Tool for Improving Glycemic Control in Patients With Type 2 Diabetes.
ClinicalTrials.gov study NCT04667728. IPD Sharing: NO. Countries: 1. Publications: 5.
Use of a Portion Control Food Tool to Induce Weight Loss in Obese Type 2 Diabetics.
ClinicalTrials.gov study NCT00254124. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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.