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13,113 results for “Resistivity”
Fig. 3 in Rapid detection of insecticide resistance in Diaphorina citri (Hemiptera: Liviidae) populations, using a bottle bioassay
Fig. 3. Susceptibility of laboratory and field-collected populations of Diaphorina citri to imidacloprid tested at the diagnostic exposure time–concentration combination (A: Lake Alfred 1; B: Winter Garden; C: Lake Alfred 2; D: Frostproof; LB: laboratory strain, FL: Florida field population). Each bar represents mean ± SE. An asterisk (*) indicates significant difference between laboratory and field population at a time period based on a Bonferroni test (P ≤ 0.05).
Fig. 2 in Rapid detection of insecticide resistance in Diaphorina citri (Hemiptera: Liviidae) populations, using a bottle bioassay
Fig. 2. Susceptibility of laboratory and field-collected populations of Diaphornia citri to dimethoate tested at the diagnostic exposure time–concentration combination (A: Lake Alfred 1; B: Winter Garden; C: Lake Alfred 2; D: Frostproof; LB: laboratory strain, FL: Florida field population). Each bar represents mean ± SE. An asterisk (*) indicates significant difference between laboratory and field population based on a Bonferroni test (P ≤ 0.05).
Fig. 1 in Rapid detection of insecticide resistance in Diaphorina citri (Hemiptera: Liviidae) populations, using a bottle bioassay
Fig. 1. Susceptibility of laboratory and field-collected populations of Diaphorina citri of bifenthrin tested at the diagnostic exposure time–concentration combination (A: Lake Alfred 1; B: Winter Garden; C: Lake Alfred 2; D: Frostproof;LB:laboratory strain, FL: Florida field population). Each bar represents mean ± SE.An asterisk (*) indicates significant difference between laboratory and field population at a time period based on a Bonferroni test (P ≤ 0.05).
Fig. 4 in Rapid detection of insecticide resistance in Diaphorina citri (Hemiptera: Liviidae) populations, using a bottle bioassay
Fig. 4. Susceptibility of laboratory and field-collected populations of Diaphorina citri to fenpropathrin tested at the diagnostic exposure time–concentration combination (A: Lake Alfred 1; B: Winter Garden; C: Lake Alfred 2; Frostproof; LB: Laboratory strain, FL: Florida Field strain). Each bar represents mean ± SE. An asterisk (*) indicates significant difference between laboratory and field population at a time period based on a Bonferroni test (P ≤ 0.05).
Fig. 1 in A comparative analysis of resistance testing methods in Aedes albopictus (Diptera: Culicidae) from St. Johns County, Florida
Fig. 1. Collection site locations in St. Johns County, Florida, for the 3 Aedes albopictus field strains tested for resistance in this study. RAYS is 14.7 km from ELKTON. RAYS is 6.6 km from BEACH. ELKTON and BEACH are 18.0 km apart. ELKTON and RAYS were the F1 and F2 sites in Marcombe et al. (2014).
Viewpoint: Difficult-to-treat depression versus treatment-resistant depression: A new integrative perspective for managing depression
<p></p> <div> <div> <div>Translator</div> <div> </div> <div> </div> </div> <div> <div> </div> <div> </div> </div> </div> <p> </p> <p>This video provides an in-depth overview of difficult-to-treat depression (DTD), distinguishing it from treatment-resistant depression (TRD). The video explains the complexities of DTD, emphasizing the need for a multifaceted approach that goes beyond pharmacological treatments. The video covers the following key points:</p> <ul> <li>Definition and characteristics of DTD</li> <li>Differences between DTD and TRD</li> <li>The importance of psychosocial, biological, and interactive factors in managing DTD</li> <li>Integrated therapeutic approaches, including psychotherapy, neurostimulation, and social interventions</li> <li>The impact of DTD on patients' quality of life and the importance of comprehensive care</li> <li>Future directions in research and clinical practice for improving the management of DTD</li> </ul>
Fig. 11 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 11. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Oryzomicrobium terrae. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 7 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 7. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Arthrobacter nitrophenolicus. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 1 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 1. Transmission electron micrographs of the strains isolated in this study. Strains: a, BT434; b, BT368; c, BT370; d, BT239; e, BT339; f, BT427; g, BT362; h, BT250; i, BT338; j, BT344; k, BT346; l, BT364.
Fig. 14 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 14. UV resistance graph of the strains isolated in this study. Survival rates of D. radiodurans R1T (), strains () and E. coli K12 () are ■ ● ◆ also shown. Strains: a, BT434; b, BT368; c, BT370; d, BT239; e, BT339; f, BT427; g, BT362; h, BT250; i, BT338; j, BT344; k, BT346; l, BT364.
Fig. 8 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 8. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Pseudomonas reidholzensis. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 13 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 13. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Sphingomonas azotifigens. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 4 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 4. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Variovorax gossypii. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 10 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 10. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Rhizobium alamii. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 9 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 9. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Microvirga lotononidis. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 3 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 3. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Paraburkholderia kirstenboschensis. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 12 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 12. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Sphingomonas sanguinis. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 5 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 5. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Massilia neuiana. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 2 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 2. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Caballeronia cordobensis. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 6 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 6. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Noviherbaspirillum canariense. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
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.