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Figure 6 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559
Figure 6 Absorption spectra of MR and valsartan with MR in different solvents.
Figure 2 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559
Figure 2 Absorption spectra of valsartan with BPB
Figure 3 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559
Figure 3 Absorption spectra of valsartan with MR.
Figure 1 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559
Figure 1 Chemical structure of valsartan.
Figure 10 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559
Figure 10 Calibration curve for the determination of valsartan with BPB.
Figure 11 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559
Figure 11 Calibration curve for the determination of valsartan with MR.
Figure 5 from: Fajriah S, Rizki IF, Sinurat E (2021) Characterization and analysis of the antidiabetic activities of sulphated polysaccharide extract from Caulerpa lentillifera. Pharmacia 68(4): 869-875. https://doi.org/10.3897/pharmacia.68.e73158
Figure 5 NMR analysis of crude (a) and purified (b) sulfated polysaccharides from C. lentillifera.
Figure 4 from: Fajriah S, Rizki IF, Sinurat E (2021) Characterization and analysis of the antidiabetic activities of sulphated polysaccharide extract from Caulerpa lentillifera. Pharmacia 68(4): 869-875. https://doi.org/10.3897/pharmacia.68.e73158
Figure 4 Analysis of total carbohydrate and sulfate of C. lentillifera.
Figure 1 from: Fajriah S, Rizki IF, Sinurat E (2021) Characterization and analysis of the antidiabetic activities of sulphated polysaccharide extract from Caulerpa lentillifera. Pharmacia 68(4): 869-875. https://doi.org/10.3897/pharmacia.68.e73158
Figure 1 Flow chart of sulfated polysaccharide extraction from C. lentillifera.
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 2000m Y5 & Y6
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 2000m particles releases for the years 2000 (Y5) and 2001 (Y6).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 2000m Y19 & Y20
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 2000m particles releases for the years 2014 (Y19) and 2015 (Y20).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 500m Y19 & Y20
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 500m particles releases for the years 2014 (Y19) and 2015 (Y20).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y5 & Y6
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 1000m particles releases for the years 2000 (Y5) and 2001 (Y6).</p>
Figure 7 from: Laksmiani NPL, Widiantara IWA, Pawarrangan ABS (2022) Potency of moringa (Moringa oleifera L.) leaves extract containing quercetin as a depigmentation agent inhibiting the tyrosinase enzyme using in-silico and in-vitro assay. Pharmacia 69(1): 85-92. https://doi.org/10.3897/pharmacia.69.e73132
Figure 7 Dopachrome spectrum using spectrophotometry UV-VIS.
Figure 2 from: Laksmiani NPL, Widiantara IWA, Pawarrangan ABS (2022) Potency of moringa (Moringa oleifera L.) leaves extract containing quercetin as a depigmentation agent inhibiting the tyrosinase enzyme using in-silico and in-vitro assay. Pharmacia 69(1): 85-92. https://doi.org/10.3897/pharmacia.69.e73132
Figure 2 2D Chemical structure of quercetin (a), 3D chemical structure of quercetin (b).
Figure 9 from: Laksmiani NPL, Widiantara IWA, Pawarrangan ABS (2022) Potency of moringa (Moringa oleifera L.) leaves extract containing quercetin as a depigmentation agent inhibiting the tyrosinase enzyme using in-silico and in-vitro assay. Pharmacia 69(1): 85-92. https://doi.org/10.3897/pharmacia.69.e73132
Figure 9 Tyrosinase inhibition (%) curve of moringa leaves extract.
Figure 8 from: Laksmiani NPL, Widiantara IWA, Pawarrangan ABS (2022) Potency of moringa (Moringa oleifera L.) leaves extract containing quercetin as a depigmentation agent inhibiting the tyrosinase enzyme using in-silico and in-vitro assay. Pharmacia 69(1): 85-92. https://doi.org/10.3897/pharmacia.69.e73132
Figure 8 Tyrosinase inhibition (%) curve of kojic acid.
Dandelion root extracts abolish MAPK pathways to ameliorate experimental mouse ulcerative colitis
<p>Abstract<br> Background. Dextran sodium sulfate (DSS)-triggered ulcerative colitis (UC) model in animals provides<br> a valuable platform to preclinically evaluate the outcome of drug candidates for UC. Dandelion root extracts<br> (DRE) have a particular therapeutic effect on UC. However, the protective mechanism of DRE against UC<br> remains unknown.<br> Objectives. To discover the targeting pathway involved in DRE-induced protection against UC.<br> Materials and methods. The UC model was developed in C57BL/6 mice by oral administration of DSS.<br> Following DSS exposure, sulfasalazine (SASP), low dose of DRE (DRE-L), moderate dose of DRE (DRE-M), high<br> dose of DRE (DRE-H), and DRE-H plus mitogen-activated protein kinases (MAPK) agonist (DRE-H+MA) were<br> administered to the mice. Colon Mucosal Damage Index (CMDI) and histopathological analysis were used<br> to evaluate the colonic mucosal damage. The cytokine levels were detected using commercial enzyme-linked<br> immunosorbent assay (ELISA) kits. The MAPK pathway activation was determined with western blotting.<br> Results. We found that DRE-H attenuated DSS-triggered colonic mucosal damage. The DSS-induced inflammatory responses and oxidative stress in the bloodstream and colon tissues were dramatically inhibited<br> by DRE-H administration. Also, this plant impaired DSS-provoked phosphorylation levels of extracellular<br> signal-regulated kinases (ERK), c-Jun N-terminal kinases (JNK), p38 mitogen-activated protein kinases<br> (p38), p65, and IκB. More importantly, MAPK agonist, BIM-23A760, removed the protective effect of DRE-H<br> on the bloodstream and colon tissues.<br> Conclusions. The DRE-H is capable of relieving DSS-induced UC, and its mechanism links to the MAPK<br> pathways.<br> </p>
Figure 1 from: Satria D, Sofyanti E, Wulandari P, Fajarini, Pakpahan SD, Limbong SA (2022) Antibacterial activity of Medan Butterfly pea (Clitoria ternatea L.) corolla extract against Streptococcus mutans ATCC®25175™ and Staphylococcus aureus ATCC®6538™. Pharmacia 69(1): 195-202. https://doi.org/10.3897/pharmacia.69.e77076
Figure 1 Photographic image of Medan Butterfly Pea.
Figure 4 from: Strus O, Polovko N, Yezerska O (2019) Justification of technological parameters of the cream production with sapropel extract. Pharmacia 66(1): 19-25. https://doi.org/10.3897/pharmacia.66.e35022
Figure 4 Dependence of the mixing time on the average size of drops of cream oil phase.
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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.