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10,735 results for “dependability”
FIGURES 46–51 in Grass-dependent Thysanoptera of the family Thripidae from Australia
FIGURES 46–51. Grass living Thripinae. (46) Karphothrips dugdalei, tergites VII–IX. Kranzithrips mareebai 47–51: (47) tergites VII–IX; (48) meso & metanota; (49) sternites V–VI; (50) male tergites VII–IX; (51) head & pronotum.
FIGURES 76–85. Grass living Thripinae. Monothrips cuspis 76–77 in Grass-dependent Thysanoptera of the family Thripidae from Australia
FIGURES 76–85. Grass living Thripinae. Monothrips cuspis 76–77: (76) sternites V–VII; (77) tergites VI–VIII. Monothrips flavus 78–79: (78) sternites V–VII; (79) tergites VI–VIII. (80) Stenchaetothrips bambusicola, head & thorax. Stenchaetothrips biformis 81–83: (81) antenna; (82) tergites VI–VIII; (83) head. Sten. bambusicola 84-85: (84) female sternites V-VII; (85) tergites VI–VIII.
FIGURES 38–45 in Grass-dependent Thysanoptera of the family Thripidae from Australia
FIGURES 38–45. Grass living Thripinae. (38) Exothrips sacchari, head. Parexothrips palumae 39–44: (39) head; (40) female sternites VI–VII; (41) tergites VI–VII; (42) tergites VII-IX; (43) meso & metanota; (44) prosternum. (45) Caprithrips insularis, prosternum.
FIGURES 52–62. Masamithrips and Monothrips spp. Mas. melinus 63–64 in Grass-dependent Thysanoptera of the family Thripidae from Australia
FIGURES 52–62. Masamithrips and Monothrips spp. Mas. melinus 63–64: (63) head; (64) pronotum. Mas. tanyoeikus 65–66: (65) head; (66) tergites VII–VIII. Mas. williei 67–68: (67) antenna; (68) tergites VII–VIII. Mas. wyndhami (69) antenna; (70) tergites VII–VIII. Mono. cuspis 71–74: (71) antenna; (72) head & thorax; (73) meso & metanota; (74) prosternum. (75) Mono. flavus, head.
FIGURE 5 in Substrate dependent talitrid amphipods from fragmented beaches on the north coast of Crete (Crustacea, Amphipoda, Talitridae), including a redefinition of the genus Orchestia and descriptions of Orchestia xylino sp. nov. and Cryptorchestia gen. nov.
FIGURE 5. Orchestia xylino sp. nov., holotype, male, 13.1 mm, AM P.89967, all parts except, female, paratype, 10.6 mm, AM P.89969, Gournes, Heraklion, Crete, Greece. Scale lines for P5–7 represent 1.0 mm, remainder represent 0.2 mm.
FIGURE 3 in Substrate dependent talitrid amphipods from fragmented beaches on the north coast of Crete (Crustacea, Amphipoda, Talitridae), including a redefinition of the genus Orchestia and descriptions of Orchestia xylino sp. nov. and Cryptorchestia gen. nov.
FIGURE 3. Orchestia xylino sp. nov., holotype, male, 13.1 mm, AM P.89967, Gournes, Heraklion, Crete, Greece. Scale lines represent 0.1 mm, except MX1OP represents 0.05 mm.
FIGURE 1 in Substrate dependent talitrid amphipods from fragmented beaches on the north coast of Crete (Crustacea, Amphipoda, Talitridae), including a redefinition of the genus Orchestia and descriptions of Orchestia xylino sp. nov. and Cryptorchestia gen. nov.
FIGURE 1. Sampling sites. From West to East: a) Sand West; b) Banquette, mainly Posidonia; c) Mixed West; d) Sand East; e) Cobble; f) Mixed East. Pictures were taken during the summer season (July 2012) to highlight the human use of the supralittoral on the two sandy beaches and on Mixed East.
FIGURE 2 in Substrate dependent talitrid amphipods from fragmented beaches on the north coast of Crete (Crustacea, Amphipoda, Talitridae), including a redefinition of the genus Orchestia and descriptions of Orchestia xylino sp. nov. and Cryptorchestia gen. nov.
FIGURE 2. Orchestia xylino sp. nov., holotype, male, 13.1 mm, AM P.89967, habitus, A1, A2, U1–3, paratype, male, 11.4 mm, AMP.89968, UR, T, Gournes, Heraklion, Crete, Greece. Scale lines represent 0.1 mm, except UR, U1 represent 0.2 mm.
FIGURE 4 in Substrate dependent talitrid amphipods from fragmented beaches on the north coast of Crete (Crustacea, Amphipoda, Talitridae), including a redefinition of the genus Orchestia and descriptions of Orchestia xylino sp. nov. and Cryptorchestia gen. nov.
FIGURE 4. Orchestia xylino sp. nov., holotype, male, 13.1 mm, AM P.89967, all parts except, paratype, male, 11.4 mm, AM P.89968, *G1, *G2, female, paratype, 10.6 mm, AM P.89969, Gournes, Heraklion, Crete, Greece. Scale lines represent 0.2 mm.
FIGURE 2 in Euglossa marianae sp. n. (Hymenoptera: Apidae): a new orchid bee from the Brazilian Atlantic Forest and the possible first documented local extinction of a forest-dependent orchid bee
FIGURE 2. Holotype Euglossa marianae sp. n. A: dorsal view. B: frontal view of face. C: last three terga. D: metatibia. E: mesotibia. F: mesotibia of one specimen of Euglossa analis from Parque Nacional da Serra do Divisor, state of Acre, Brazilian Amazon (specimen number 12417-36556, deposited at UFMG).
FIGURE 1 in Euglossa marianae sp. n. (Hymenoptera: Apidae): a new orchid bee from the Brazilian Atlantic Forest and the possible first documented local extinction of a forest-dependent orchid bee
FIGURE 1. Map showing the location of the three areas sampled in this study (yellow circles), the type locality of Euglossa marianae sp. n. (green circle), and the known areas where this species has been recorded (red circles) (see text for details).
Data used for submission entitled "Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover"
<p>Datasets generated and presented in the submission entitled "Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover".</p>
Supplementary information for: "A voltage-dependent fluorescent indicator for optogenetic applications, archaerhodopsin-3: Structure and optical properties from in silico modeling".
<p>This is supplementary data for F1000Research article: A voltage-dependent fluorescent indicator for optogenetic applications, archaerhodopsin-3: Structure and optical properties from in silico modeling.</p> <p>Here are files for modeling archaerhodopsin-3 with I-TASSER, Medeller and RosettaCM algorithms, structure postprocessing and spectra calculations.</p> <p>Please, refer to the readme.txt for the description.</p>
Frequency-dependent cortical plasticity: evidence from psychophysics, functional imaging and computational modelling.
<p>fMRI data relating to the paper entitled 'Frequency-dependent cortical plasticity: evidence from psychophysics, functional imaging and computational modelling'. </p>
Data used for submission entitled "Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover".
<p>Datasets generated and presented in the submission entitled "Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover". Includes the results of statistical analysis.</p>
Data used for submission entitled "Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover".
<p>Datasets generated and presented in the submission entitled "Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover". Includes the results of statistical analysis.</p>
Extracted dataset for: "Experiment and modeling of concentration-dependent diffusion in a solution with dual transport-phase flow for paper-based sensing"
Open the record for dataset details and reuse information.
Data from: Inferring state-dependent diversification rates using approximate Bayesian computation (ABC)
<p><span>State-dependent speciation and extinction (SSE) models provide a framework for quantifying whether species traits have an impact on evolutionary rates and how this shapes the variation in species richness among clades in a phylogeny. However, SSE models are becoming increasingly complex, limiting the application of likelihood-based inference methods. Approximate Bayesian computation (ABC), a likelihood-free approach, is a potentially powerful alternative for estimating parameters. One of the key challenges in using ABC is the selection of efficient summary statistics, which can greatly affect the accuracy and precision of the parameter estimates. In state-dependent diversification models, summary statistics need to capture the complex relationships between rates of diversification and species traits. Here, we develop an ABC framework to estimate state-dependent speciation, extinction and transition rates in the BiSSE (binary state dependent speciation and extinction) model. Using different sets of candidate summary statistics, we then compare the inference ability of ABC with that of using likelihood-based maximum likelihood (ML) and Markov chain Monte Carlo (MCMC) methods. Our results show the ABC algorithm can accurately estimate state-dependent diversification rates for most of the model parameter sets we explored. The inference error of the parameters associated with the species-poor state is larger with ABC than in the likelihood estimations only when the speciation rate is highly asymmetric between the two states (</span><em><span>λ</span></em><sub><span>1</span></sub><span> / <em>λ</em><sub>0 </sub></span><span>= 5). Furthermore, we find that the combination of normalized lineage-through-time (nLTT) statistics and phylogenetic signal in binary traits (Fitz and Purvis’s <em>D</em>) constitute efficient summary statistics for the ABC method. By providing insights into the selection of suitable summary statistics, our work aims to contribute to the use of the ABC approach in the development of complex state-dependent diversification models, for which a likelihood is not available.</span></p>
Data from: Inferring state-dependent diversification rates using approximate Bayesian computation (ABC)
<p>State-dependent speciation and extinction (SSE) models provide a framework for quantifying whether species traits have an impact on evolutionary rates and how this shapes the variation in species richness among clades in a phylogeny. However, SSE models are becoming increasingly complex, limiting the application of likelihood-based inference methods. Approximate Bayesian computation (ABC), a likelihood-free approach, is a potentially powerful alternative for estimating parameters. One of the key challenges in using ABC is the selection of efficient summary statistics, which can greatly affect the accuracy and precision of the parameter estimates. In state-dependent diversification models, summary statistics need to capture the complex relationships between rates of diversification and species traits. Here, we develop an ABC framework to estimate state-dependent speciation, extinction and transition rates in the BiSSE (binary state dependent speciation and extinction) model. Using different sets of candidate summary statistics, we then compare the inference ability of ABC with that of using likelihood-based maximum likelihood (ML) and Markov chain Monte Carlo (MCMC) methods. Our results show the ABC algorithm can accurately estimate state-dependent diversification rates for most of the model parameter sets we explored. The inference error of the parameters associated with the species-poor state is larger with ABC than in the likelihood estimations only when the speciation rate is highly asymmetric between the two states (<em>λ</em><sub>1</sub> / <em>λ</em><sub>0 </sub>= 5). Furthermore, we find that the combination of normalized lineage-through-time (nLTT) statistics and phylogenetic signal in binary traits (Fitz and Purvis’s <em>D</em>) constitute efficient summary statistics for the ABC method. By providing insights into the selection of suitable summary statistics, our work aims to contribute to the use of the ABC approach in the development of complex state-dependent diversification models, for which a likelihood is not available.</p>
Comprehensibility of feature dependency in configurable system using #ifdef
<p>Conditional compilation is often used to implement variability in configurable systems. This technique relies on #ifdefs to delimit feature code. Previous studies have shown that #ifdefs may hinder code comprehensibility. However, they did not explicitly take feature dependencies into account. Feature dependency occurs when different features refer to the same program element, such as a variable. Comprehensibility may be even more affected in the presence of feature dependency, as the developer must reason about different scenarios affecting the same variable. Aim: Our goal is to understand how feature dependency affects the comprehensibility of configurable system source code. Method: We conducted two complementary empirical studies. In Study 1 we carried out an experiment in which 30 developers debugged programs with different types of feature dependency. Each program included a different type of feature dependency: global, intraprocedural or interprocedural. We used an eye-tracking device to record developers' gaze movements while they debugged programs. Study 1, however, has two main limitations. Firstly, its programs contain only one type of feature dependency each, while, in real systems, a same program file usually includes more than one type of feature dependency. Secondly, Study 1 does not compare programs with and without feature dependency. In Study 1 we did not compare pieces of source code with and without feature dependency. To minimize those limitations, in this paper we complement Study 1 by means of Study 2. Forty-six developers responded to a web-based study. They executed tasks in which they had to analyze programs containing #ifdef with and without feature dependency. Each program with feature dependency contained all the three types of features dependency as frequently occurs in real configurable systems. Results: In Study 1, debugging programs with #ifdef and global or interprocedural dependency required more time and higher visual effort than intraprocedural dependency. Study 2, analyzing programs containing #ifdef and feature dependency required more time than programs containing #ifdef but without feature dependency. Conclusion: Our study showed that #ifdefs affect comprehensibility of configurable systems in different degrees depending on the presence of feature dependency or type of feature dependency.</p>
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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.