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397 results for “Study design”
Figure 3 in Coprophagy in detritivores: methodological design for feeding studies in terrestrial isopods (Crustacea, Isopoda, Oniscidea)
Figure 3. Assimilation efficiency of isopods fed on two different leaves in treatments access, removal and net. The values are mean ± SE and the numbers on top indicate the sample number for each index
Selected articles from the scoping review on the study designs for clinical trials applied to personalised medicine
<p>The dataset provides the data extracted for the scoping review of the literature on the study designs for clinical trials applied to personalised medicine, as part of the EU project on “Personalised Medicine Trials” (PERMIT).</p> <p>The dataset reports the references for all articles selected as part of the scoping review, as well as information on the general study characteristics and definition, methodology, statistical considerations, and examples of each study design referred to in each included paper.</p>
Dataset for "Designing Microservice Systems Using Patterns: An Empirical Study on Quality Trade-Offs"
<p>This package provides all published resources used and produced in the context of the research study leading to the article <em>"Designing Microservice Systems Using Patterns: An Empirical Study on Quality Trade-Offs"</em>, presented in ICSA 2022's technical track.</p>
Datasets for "Comparison of multivariate ANOVA-based approaches for the determination of relevant variables in experimentally designed metabolomic studies"
<p><em><strong>Raw files of the LC-MS designed experiments.</strong></em></p> <p> </p> <p>* <strong>YEAST GROWTH DATASET</strong></p> <blockquote> <p><strong>A) Phospholipids extraction</strong></p> <p>- FosfoB1.raw</p> <p>- FosfoB3.raw</p> <p>- FosfoC2.raw</p> <p>- FosfoD1.raw</p> <p>- FosfoE1.raw</p> <p>- FosfoE2.raw</p> <p>- FosfoE3.raw</p> </blockquote> <p> </p> <blockquote> <p><strong>B) Sphingolipids extraction</strong></p> <p>- EsfingoB1.raw</p> <p>- EsfingoB2.raw</p> <p>- EsfingoC1.raw</p> <p>- EsfingoC2.raw</p> <p>- EsfingoC3.raw</p> <p>- EsfingoD1.raw</p> <p>- EsfingoD2.raw</p> <p>- EsfingoD3.raw</p> </blockquote> <p> </p> <p><strong>* ZEBRAFISH DATASET</strong></p> <blockquote> <p><strong>A) BPA study</strong></p> <p>Low BPA exposure</p> <p>- Low_BPA_A.d</p> <p>- Low_BPA_B.d</p> <p>- Low_BPA_C.d</p> <p>High_BPA_exposure</p> <p>- High_BPA_A.d</p> <p>- High_BPA_B.d</p> <p>- High_BPA_C.d</p> <p>Controls</p> <p>- Control_BPA_A.d</p> <p>-Control_BPA_B.d</p> <p>- Control_BPA_C.d</p> </blockquote> <p> </p> <blockquote> <p><strong>B) Estradiol study</strong></p> <p>Low E2 exposure</p> <p>- Low_E2_A.d</p> <p>- Low_E2_B.d</p> <p>- Low_E2_C.d</p> <p>High_E2_exposure</p> <p>- High_E2_A.d</p> <p>- High_E2_B.d</p> <p>- High_E2_C.d</p> <p>Controls</p> <p>- Control_E2_A.d</p> <p>-Control_E2_B.d</p> <p>- Control_E2_C.d</p> </blockquote> <p> </p> <p><strong>Funding:</strong> This research was funded by the Spanish Ministry of Science and Innovation (MCI, Grant CTQ2017-82598-P) and Severo Ochoa Project CEX2018-000794-S (funded by MCIN/AEI/ 10.13039/501100011033), and supported from the Catalan Agency for Management of University and Research Grants (AGAUR, Grant 2017SGR753). MPC was funded by a predoctoral FPU 16/02640 scholarship from the Spanish Ministry of Education and Vocational Training (MEFP). The 1290 LC system and 6545 XT QTOF instrumentation were provided to DS as gifts by Agilent Technologies through their Thought Leader program.</p>
Design of experiment (DOE) used in the study: Lightweight design of variable-stiffness imperfection-insensitive cylinders enabled by continuous tow shearing and machine learning
<p>There are five input variables that are changed for this design of experiment (DOE) within the following range:</p> <p><span class="math-tex">\(\begin{eqnarray} 0.05 \leq r_{CTS} \leq 0.20 \nonumber \\ 1 \leq n \leq 12 \nonumber \\ 0 \leq {c_2}_{ratio} \leq 1 \\ 0 \leq \theta_1 \leq 75 \nonumber \\ 0 \leq \theta_2 \leq 75 \nonumber \end{eqnarray}\)</span></p> <p>For the sake of simplicity, these variables are respectively called v1, v2, v3, v4, v5.</p> <p>The DOE consist of 2000 points created with Latin Hyper-cube Sampling, as available in the LHS toolbox (Carnell, R. lhs: Latin Hypercube Samples, 2021. R package version 1.1.3.).</p> <p>The outputs evaluated with this design of experiment (DOE) are the critical buckling load $P_{critical}$, $b_{factor}$ obtained with Koiter's asymptotic approach, and the mass.</p>
Text-fig. 1. Modern vegetation proxies as delivered by the Drudge 1 and 2 tools for Parschlug. Left column results from KovarEder et al. (2021) based on the floristic spectrum published by Kovar-Eder et al. (2004). The other three columns result from three variants using the enlarged floristic spectrum herein. Differences between variants 1–3 from this study are caused by differences in assignment of some taxa and morphotypes (see Appendix 1). European vegetation formations: Formation C – Subarctic, boreal and nemoral-montane open woodlands as well as subalpine and oro-Mediterranean vegetation; Formation D – Mesophytic and hygromesophytic coniferous and mixed broad-leaved-coniferous forests; Formation F – Mesophytic broadleaved deciduous and mixed broadleaved/conifer forests; Formation G – Thermophilous mixed deciduous broadleaved forests; Formation J – Mediterranean sclerophyllous forests and scrub; Formation K – Xerophytic coniferous forests, coniferous woodland and scrub. East Asian vegetation types: MCF China, Japan – Montane Coniferous Forests China, Honshu, Yakushima; BLDF N and NE Provinces, China – Broad-leaved Deciduous Forests of the Northern and Northeastern Provinces (China); BLDF Upper Yangtze, Honshu – Broad-leaved Deciduous Forest, Upper Yangtze Provinces, Mt. Emei, and Honshu; MMF China – Mixed Mesophytic Forest, Lower Yangtze Provinces; BLEF China, Japan – Broad-leaved Evergreen Forests, China, Japan; Meili Snow Mt. high altitude SCL and BLF, China – Meili Snow Mt., Sclerophyllous and broad-leaved forest zone (2,580-3,650 m alt.). (Designations of European vegetation formations follow Bohn et al. (2004) and Asian ones follow Kovar-Eder et al. (2021). in Floristic, Vegetation And Climate Assessment Of The Early/Middle Miocene Parschlug Flora Indicates A Distinctly Seasonal Climate
Text-fig. 1. Modern vegetation proxies as delivered by the Drudge 1 and 2 tools for Parschlug. Left column results from KovarEder et al. (2021) based on the floristic spectrum published by Kovar-Eder et al. (2004). The other three columns result from three variants using the enlarged floristic spectrum herein. Differences between variants 1–3 from this study are caused by differences in assignment of some taxa and morphotypes (see Appendix 1). European vegetation formations: Formation C – Subarctic, boreal and nemoral-montane open woodlands as well as subalpine and oro-Mediterranean vegetation; Formation D – Mesophytic and hygromesophytic coniferous and mixed broad-leaved-coniferous forests; Formation F – Mesophytic broadleaved deciduous and mixed broadleaved/conifer forests; Formation G – Thermophilous mixed deciduous broadleaved forests; Formation J – Mediterranean sclerophyllous forests and scrub; Formation K – Xerophytic coniferous forests, coniferous woodland and scrub. East Asian vegetation types: MCF China, Japan – Montane Coniferous Forests China, Honshu, Yakushima; BLDF N and NE Provinces, China – Broad-leaved Deciduous Forests of the Northern and Northeastern Provinces (China); BLDF Upper Yangtze, Honshu – Broad-leaved Deciduous Forest, Upper Yangtze Provinces, Mt. Emei, and Honshu; MMF China – Mixed Mesophytic Forest, Lower Yangtze Provinces; BLEF China, Japan – Broad-leaved Evergreen Forests, China, Japan; Meili Snow Mt. high altitude SCL and BLF, China – Meili Snow Mt., Sclerophyllous and broad-leaved forest zone (2,580-3,650 m alt.). (Designations of European vegetation formations follow Bohn et al. (2004) and Asian ones follow Kovar-Eder et al. (2021).
Figure 1. The design of the study-The Effect of English Learning Anxiety on Iranian High-School Students' English Language Achievement
<p>The dependent variable in this study was English<br> achievement, and the independent variable was language anxiety. The intervening variable is<br> English proficiency. The control variables are: age of subjects (second year high school students<br> with an average age of 17) and years of experience in English learning (a minimum of 5<br> consecutive years). The schematic design of the study is presented below (Figura 1).</p>
Figure 1. Scenarios and experimental design for assessing a in Pilot study: investigating the role of biofouling in transmission of Ostreid herpesvirus 1 (OsHV-1)
Figure 1. Scenarios and experimental design for assessing a range of biofouling organisms for the potential to spread OsHV-1. A. Scenario for the OsHV-1 transmission pathway evaluated by field surveillance. B.1 Scenario for the vessel biofouling OsHV-1 transmission pathway. B.2 Adaptation of the vessel biofouling scenario for a laboratory infection trial with Pacific oysters and biofouling organisms evaluated as intermediates for transmission from injected Pacific oysters to naïve Pacific oysters.
FIGURE 7 in Ethological interpretation of making the pellet designs by the bubbler crab Dotilla on the modern intertidal beaches: A study from the Bay of Bengal coast, Eastern India
FIGURE 7. Feeding strategies and progressive growth of the Dotilla pellet structures. Note four types of feeding modes: sector (of a circle) feeding mode covering growth (top to bottom) of the pellet structures arranged in four columns (1-4) corresponding to four different types of pellet designs (homogeneous pellet spread, radial, concentric and concentric-radial); radially diverging feeding mode covering growth (top to bottom) of the radial and asteroid pellet designs (column 5); concentric feeding mode covering growth (top to bottom) of the concentric pellet designs (column 6) and combined concentric-radial feeding mode covering growth (top to bottom) of the concentric-radial pellet design (column 7). Note development of different designs under sector (of a circle) feeding mode within feeding sectors having similar shape and size (column 1- 4 top structures). Also note a pellet design may originate in different feeding modes, but with subtle differences. The lower half of the figure incorporates schematic representation of the growth stages (I - Initial, M - Middle, F - Final from top to bottom) of all the above pellet designs with time and progressive feeding activity under different feeding modes (columns 1-7 are extended from upper to lower half of the figure to maintain analogy). Also note for each schematic structure (not to scale) presented, there is a physical (natural) analogue recorded from the field. Also visualize the growth of structural complexities, acquisition of described barrier elements and SI index along each column from top to bottom in both the natural and schematic presentations.
FIGURE 8. A in Ethological interpretation of making the pellet designs by the bubbler crab Dotilla on the modern intertidal beaches: A study from the Bay of Bengal coast, Eastern India
FIGURE 8. A: Ex situ preservation (aided by wind action) of Dotilla pellets as pellet-filled burrow tubes in the supratidal flat during low tide situation. B: Ex situ preservation of Dotilla pellets (aided by wind action) in ripple troughs during low tide situation. C: Schematic profile section of the studied beach showing positions of the Dotilla pellet spread and burrow zone, spread of Ocypode burrows, mutual dispositions of different geomorphic units (dune, supratidal, upper - middle intertidal flats) relative to land - sea positions and High and Low Tide Levels (HTL and LTL). Note gradual spreading of the Dotilla pellet and burrow zone towards sea with gradual lowering of substrate water levels (WLs) during tidal recession of sea. D-E: Possible stratigraphic development of the coastal sedimentary units (1-3) and contained burrow zones and other associated features in transgressive (E) and regressive (D) situations. Note the possible position of preserved Dotilla pellets and burrows between Unit 1 and 2 under transgressiveregressive sea conditions. Features are schematic and not to scale.
FIGURE 4 in Ethological interpretation of making the pellet designs by the bubbler crab Dotilla on the modern intertidal beaches: A study from the Bay of Bengal coast, Eastern India
FIGURE 4. Concentric - radial pellet design (Figures 3 A, C, E, G, I, K, M, O, Q, S, U and W) produced by the crab Dotilla in the upper intertidal flat of the Bakkhali beach, Bay of Bengal coast, Eastern India. Figures 3 B, D, F, H, J, L, N, P, R, T, V and Xl represent the corresponding line tracings made for measurement of Attack Index (AI) and Safety Index (SI). Figures Q and W represent conjugate concentric - radial structures made by several individuals and possesses shared concentric rows of pellets (Scrp) and very high Combined Safety index (CSI) of 97.23% and 98.33% respectively. Note the majority of the structures are made by young and adults and rarely by juveniles (example Figure 4 E, G). Also note that pellet design at the earlier stage of development has lower safety index (SI) than those in the advanced or final stage of development (SI 70.57% for Figure C vs. 100% for Figure 4 O and S). Note that structures with closed burrow opening have SI value 100% (Figure 4 G and M). Compare size of the feeding territories between A, M, O (larger for the adults) vs E (smaller for the juvenile). Scale bar equals 1 cm.
FIGURE 6 in Ethological interpretation of making the pellet designs by the bubbler crab Dotilla on the modern intertidal beaches: A study from the Bay of Bengal coast, Eastern India
FIGURE 6. Other pellet structures produced by the crab Dotilla on the upper intertidal flat of the Bakkhali beach, Bay of Bengal coast of Eastern India. (A) Petaloid pellet design produced by petal shaped radial rows of pellets and conjugate petals formed around burrow opening. (B) The line tracing corresponding to A shows SI value 100% as the burrow mouth is closed. (C) Leaf-shaped pellet design and (D) its corresponding line tracing shows very poor SI value (13.89%). (E) Asteroid pellet design contains several radiating runways that are well enclosed within the pellet spread areas and (F) its corresponding line tracing shows 100% SI value. (G, J and K) Different stages of formation of pellet mat design in pellet – microzone 1 wherein entire surface is covered by dense population of pellets leaving no space for the predators to sneak into burrow opening (SI = 100%). Note high population density and small size of the pellet designs. (H) Mossy pellet design formed by the crab community. Several burrow openings and corresponding runways are partially to fully covered by pellet spread zones. (I) Line tracing shows variable SI values of the individual structures (marked here by red, yellow and green circles having SI values <70%, 70% - 90% and> 90% respectively) averaged at 85% for the community structure. Arrows indicate possible entry routes of predators into the burrows. (L and M) Concentric radial and concentric pellet structures formed on rippled surface. (N) At times, pellets are formed selectively along the ripple troughs. (O) Beach profile showing extends of lower, middle and upper intertidal flats, besides mudground, supratidal flat and coastal dunes. Note smaller size of the structures (G, H, J, K) due to increased population density and predation pressure.
FIGURE 2 in Ethological interpretation of making the pellet designs by the bubbler crab Dotilla on the modern intertidal beaches: A study from the Bay of Bengal coast, Eastern India
FIGURE 2. Radial pellet structures (A, C, E, G, I and K) produced by the crab Dotilla in the upper intertidal beach of Bakkhali, Eastern India. Corresponding line tracings (B, D, F, H, J and L) are made to calculate Safety Index (SI) and Attack Index (AI). Structures represented by figures I and K suggest early stage of development of radial pellet design and possess lower Safety Index (SI = 61.53% and 46.41%, respectively) compared to other structures (A, C, E and G) that represent later stage of development of radial design and possess very high Safety Index (SI ranging from 100% to 94.74%). Figure GLeft represents a juvenile structure and the rest are produced by young and adult Dotilla. Note larger size of feeding areas made by adults (A, E, K) compared to that of juvenile (GLeft). A represents a more advanced feeding stage (over larger area) than I (over smaller area). Scale bar equals 1 cm.
FIGURE 1 in Ethological interpretation of making the pellet designs by the bubbler crab Dotilla on the modern intertidal beaches: A study from the Bay of Bengal coast, Eastern India
FIGURE 1. Different ichnozones and geomorphic features developed in the Bakkhali (21° 33' 50" N and 88° 15' 49" E) beach of the Bay of Bengal coast, Eastern India (re-mapped in 2015 by the author and modified after De, 2019, 2000). Note field photographs of the pellet making bubbler crabs Dotilla spp. and their burrow casts.
FIGURE 5 in Ethological interpretation of making the pellet designs by the bubbler crab Dotilla on the modern intertidal beaches: A study from the Bay of Bengal coast, Eastern India
FIGURE 5. Plan outlays for the radial, concentric and concentric-radial pellet designs produced by the bubbler crab Dotilla have been drawn from the corresponding line tracings (as referenced in each case) to highlight how structural elements are constructed to enhance burrow protection. For radial designs dense radial rows of pellets (Rrp), curved rings of pellets (Crp), pellet walls (Pw) and turned around pellet rows (Rta) are increasingly added to the structure to increase the Safety Index (SI) by closing or cutting off the probable routes of entry of the predators into the burrow openings. Note plan outlays A to D depicting gradual increase in SI values from 46.41% to 100%. Plan outlays (F. H, J, L, N and P) corresponding to the concentric pellet designs show that addition of concentrically oriented curved rings of pellets (Crp) and formation of clockwise and anticlockwise closures of the pellet rings (Cpr marked by red lines) are two basic measures taken by the crabs to enhance SI (compare the plan outlays from E to J where SI values have improved from 68.39% to 98.06%). Note that for concentric-radial designs, as displayed by the plan outlays (R, T, V and X), all the above measures, besides formation of outgoing radial pellet rows from curved rings of pellets (Crp) that act as innumerable barriers for the predators to sneak through spaces between curved rings of pellets, are taken to improve SI values (compare 70.57% for Q to 100% for W).
FIGURE 3 in Ethological interpretation of making the pellet designs by the bubbler crab Dotilla on the modern intertidal beaches: A study from the Bay of Bengal coast, Eastern India
FIGURE 3. Concentric pellet design (A, C, E, G, I, K, M, O, Q, S, U and W) produced by the crab Dotilla in the upper intertidal flat of the Bakkhali beach, Bay of Bengal, Eastern India. Figures B, D, F, H. J. L, N P, R, T, V and X represent the corresponding line tracings drawn for measurement of Attack Index (AI) and Safety Index (SI). Note formation of both clockwise and anticlockwise closures of pellet rings (Cpr), pellet walls (Pw), surface foraged (Sf), open and closed burrow openings (Obo and Cbo respectively) and curved rings of pellets (Crp). Figures L, R Left and Middle, VTop and Q correspond to concentric designs at early to middle stages of formation and possess relatively lower SI values (67.39%, 88.34%, 87.23%, 72.51% and 84.73% respectively) than the other nearly fully developed structures (SI varying between 98.06% for d to 91.04% for j). Compare size of the feeding territory between Figure I (larger for the adult) and U (smaller for the juvenile). Note SI attains 100% value for pellet designs having closed burrow opening (Cbo). Arrow heads in line tracing Figures point to possible entry routes of predators or enemies of Dotilla. Scale bar equals 1 cm.
Dataset of "Key Aspects in Designing High-Throughput Workflows in Electrocatalysis Research: A Case Study on IrCo Mixed-Metal Oxidese"
<p>With the growing interest of the electrochemical community in high-throughput (HT) experimentation as a powerful tool in accelerating materials discovery, the implementation of HT methodologies and the design of HT workflows has gained traction. We identify 6 aspects essential to HT workflow design in electrochemistry and beyond to ease the incorporation of HT methods in the community’s research and to assist in their improvement. We study IrCo mixed-metal oxides (MMOs) for the oxygen evolution reaction (OER) in acidic media using the mentioned aspects to provide a practical example of possible workflow design pitfalls and strategies to counteract them. </p>
Figure 2. Some screenshots from the software system-Design and Development of a Software System for Swarm Intelligence Based Research Studies
<p>All of the mentioned operations can be performed easily by using the provided controls over<br> the related interfaces – windows of each algorithm. It is also important that each algorithm interface<br> is supported by visual controls to view obtained results with typical iteration-based graphics or<br> problem oriented visual elements. For instance, resulting graph structures are automatically shown<br> by the algorithm interfaces after solving some specific, popular problems like Travelling Salesman<br> Problem (TSP), Vehicle Routing Problem (VCP)…etc. Visually improved using features and<br> functions of the software system are critical aspects to provide more effective and useful platform to<br> perform SI based research studies better.<br> Related to the designed and developed software system, some screenshots from the software<br> system [interfaces of two algorithms (IWDs and ABC)] are represented in Fig. 2.</p>
Supplementary Material: Comparing Formal Tools for System Design: a Case Study from the Railway Domain
<p>The package includes a set of models for a railway moving-block system:</p> <p>(a) a PDF document named Moving-block Model and Requirements.pdf, which includes a UML model of a moving-block system together with a set of requirements for the system;</p> <p>(b) a set of 10 folders, each one associated to a formal or semi-formal development tool. Each folder contains one or more model of the moving-block system from (a), developed by means of the tool.</p>
FIGURE 2 in RNames, a stratigraphical database designed for the statistical analysis of fossil occurrences - the Ordovician diversification as a case study
FIGURE 2. Structure of algorithm for time binning of stratigraphical units of the RNames Database (available under https://github.com/bjoekroe/RNames). Time bins are selected via three correlation routes (colour codes) and six rules resulting in six tables with referenced bins from which only those are selected which are most precise (i.e., range through lowest number of bins). Abbreviations: bio.unit, biostratigraphic unit; non-bio. unit, non-biostratigraphic unit. Colour code: red, correlation exclusively based on biostratigraphy; orange; correlation indirectly based on biostratigraphy; yellow, correlation based on direct or indirect assignments to time bins. -> arrow refers to referenced relations in RNames.
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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.