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1,037 results for “Quality Improvement”
Fig. 1 in The integration of MS-based metabolomics and multivariate data analysis allows for improved quality assessment of Zingiber officinale Roscoe
Fig. 1. Experimental design for metabolic profiling of fresh ginger rhizomes collected from different geographical sources and the effect of drying.
Fig. 3 in Transcriptome and metabolome profiling unveiled mechanisms of tea (Camellia sinensis) quality improvement by moderate drought on pre-harvest shoots
Fig. 3. Transcriptome analysis of DEGs. (A) Venn diagram of DEGs. (B–D) Biological processes of corresponding DEGs related to differentially accumulated metabolites in groups of CK vs. MI, CK vs. MO, and CK vs. SE.
Fig. 1 in Transcriptome and metabolome profiling unveiled mechanisms of tea (Camellia sinensis) quality improvement by moderate drought on pre-harvest shoots
Fig. 1. Metabolomic analysis of differentially accumulated metabolites. (A) Venn diagram of differentially accumulated metabolites. (B) The top five most abundant categories. A, amino acids and derivatives; F, flavonoids; N, nucleotide and derivatives; L, lipids; O, organic acids. Blue dot, categories with less metabolites. (C) Accumulation tendencies of the five categories under diferent SWCs.. CK, control (21–24% SWC); MI, milder drought (15–18% SWC); MO, moderate drought (12–15% SWC); SE, severe drought (9–12% SWC). (D) KEGG enrichment of group CK vs. MI from metabolic data. (E) KEGG enrichment of group CK vs. MO from metabolic data. (F) KEGG enrichment of group CK vs. SE from metabolic data. Plot: mean with standard deviation (SD). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 6 in Transcriptome and metabolome profiling unveiled mechanisms of tea (Camellia sinensis) quality improvement by moderate drought on pre-harvest shoots
Fig. 6. Regulation of lipid metabolisms under different SWCs. (A) Phospholipid metabolism, glycerolipid metabolism, and fatty acid biosynthesis, and the expression tendencies of corresponding differentially accumulated lipids. (B) Connection network of 16 DEGs and 30 differentially accumulated lipids according to PCC> 0.9. Blue dots indicate DEGs, and pink dots denote closely correlated lipids. Colors from green to red in heatmaps represent the relative expression patterns of DEGs; colors from blue to pink represent the accumulated pattern of related metabolites. The compounds index in A and B are referred to in Supplementary Table S6-1. CK, control; MI, mild drought; MO, moderate drought; SE, severe drought. ADH3, alcohol dehydrogenase 3; AFP1-like, ninja-family protein AFP1-like; ALA2_like, phospholipid-transporting ATPase 2; AOS, allene oxide synthase; CIPK5-like, CBL-interacting protein kinase 5-like; DAD1, phospholipase A(1) DAD1; DGK7-like, diacylglycerol kinase 7-like; GDSL-1, GDSL esterase/lipase At5g33370-like; GDSL-2, GDSL esterase/lipase At4g26790-like; GDSL-3, GDSL esterase/lipase 1-like; GDSL-4, GDSL esterase/lipase At1g33811; KCS-12/19-like, 3-ketoacyl-CoA synthase 12/19-like; LTP1-like, non-specific lipid-transfer protein 1-like; MGLL, caffeoylshikimate esterase-like, the isozyme gene of monoglyceride lipase; MTACP, acyl carrier protein; PL A1-Ibeta2, phospholipase A1-Ibeta2; PLD1-like, phospholipase D alpha 1-like. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Transcriptome and metabolome profiling unveiled mechanisms of tea (Camellia sinensis) quality improvement by moderate drought on pre-harvest shoots
Fig. 5. Underlying regulation of flavonoid biosynthesis under different SWCs. (A) Expressions of differentially accumulated flavonoids. (B) Underlying regulation mechanism of flavonoid biosynthesis pathway. (C) Connection network of 11 DEGs and 32 differentially accumulated flavonoids according to PCC> 0.9. Blue dots indicate DEGs, and pink dots denote flavonoids. In B and C, the colors from green to red in the heatmap show the relative expression pattern of DEGs, and the colors from blue to pink represent the relative accumulated pattern of closely related metabolites. The compounds index in A and C are referred to in Supplementary Tables S5-1. CK, control; MI, mild drought; MO, moderate drought; SE, severe drought. ANR, anthocyanidin reductase; ANS, anthocyanidin synthase; AS-like, hydroquinone glucosyltransferase-like; C, catechin; DFR, dihydroflavonol 4-reductase; EC, epicatechin; ECG, epicatechin gallate; EGCG, epigallocatechin gallate; FLS, flavonol synthase/flavanone 3-hydroxylase; GC, gallocatechin; LAR, leucoanthocyanidin reductase; PKSB, type III polyketide synthase B; UFGT, anthocyanidin 3-Oglucosyltransferase; UGT83A1, UDP-glycosyltransferase 83A1; UGT94P1, beta-D-glucosyl crocetin beta-1,6-glucosyltransferase-like. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Transcriptome and metabolome profiling unveiled mechanisms of tea (Camellia sinensis) quality improvement by moderate drought on pre-harvest shoots
Fig. 4. Levels of quality-associated compounds for different SWCs. (A) Total differentially accumulated flavonoids, isoflavonoids, and C- and O- glycosylflavonoids. (B) Levels of catechins, theanine, and theobromine. (C) Levels of glycerophospholipids, glycerolipids, and fatty acids. Plot: mean with SD.
Dataset for "Improving data quality of low-cost light-scattering PM sensors: Towards automatic air quality monitoring in urban environments"
<p>The dataset contains the data used in the article "Improving data quality of low-cost light-scattering PM sensors: Towards automatic air quality monitoring in urban environments".</p> <p>A low-cost monitoring system composed of 14 monitoring stations was positioned at the official monitoring station of Torino Rubino in the city of Turin (Italy). The official station is managed by the environmental agency ARPA Piemonte.</p> <p>Each low-cost station contains four low-cost light-scattering PM sensors (Honeywell HPMA115S0-XXX), one temperature and relative humidity sensor (DHT22), and one atmospheric pressure sensor (BME/BMP280).<br>The sampling time of the PM sensors was set to one second, while the other sensors generated measurements every 3-4 seconds.</p> <p>The official monitoring station uses both a gravimetric and a beta attenuation instrument for measuring PM.</p> <p>The data contained in this dataset was collected from October 2020 to November 2021. It contains the PM2.5, relative humidity, and temperature measurements of the low-cost monitoring system and the official measurements of the beta attenuation device.</p> <p>Measurements of low-cost sensors are expressed in UTC, while official measurements are expressed in UTC+1.</p> <p>Official PM measurements can be also found at https://aria.ambiente.piemonte.it/qualita-aria/dati.</p>
Treatment of Congenital Vascular Malformations Using Sirolimus: Improving Quality of Life
ClinicalTrials.gov study NCT03987152. IPD Sharing: NO. Countries: 1. Publications: 1.
Expressive Writing in Improving Quality of Life in Patients With Breast Cancer and Lymphedema
ClinicalTrials.gov study NCT00679185. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Computer Scan Based Analysing System on Improving Stroke Management Quality Evaluation
ClinicalTrials.gov study NCT03684629. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Prevention of Oral Mucositis and Improvement of Quality of Life for Patients With Breast Cancer Undergoing Adjuvant Radiotherapy
ClinicalTrials.gov study NCT06958445. IPD Sharing: NO. Countries: 1. Publications: 7.
Improving Sleep Quality in Flap Patients in the SICU
ClinicalTrials.gov study NCT03957317. IPD Sharing: NO. Countries: 1. Publications: 1.
Study to Improve Quality of Care and Patient Health in the Field of Cardiovascular Risk Factors in General Practice
ClinicalTrials.gov study NCT00348855. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Improving Safety and Quality of Tracheal Intubation Practice in Pediatric ICUs
ClinicalTrials.gov study NCT02493478. IPD Sharing: Not stated. Countries: 11. Publications: 1.
Improving Pediatric Safety and Quality With Health Care Information Technology
ClinicalTrials.gov study NCT00134823. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Dose Systemic Lidocaine Improve the Quality of Recovery After Colorectal Endoscopic Submucosal Dissection
ClinicalTrials.gov study NCT05750056. IPD Sharing: YES. Countries: 1. Publications: 1.
Can the Use of Ear Plugs and Eye Masks Help to Improve Sleep Quality After Major Abdominal Surgery?
ClinicalTrials.gov study NCT03702296. IPD Sharing: NO. Countries: 1. Publications: 1.
A Nurse-led Multicomponent Interventional Protocol to Improve Sleep Quality in Paediatric Oncology Patients
ClinicalTrials.gov study NCT07323069. IPD Sharing: NO. Countries: 1. Publications: 16.
Morning Bright Light to Improve Sleep Quality in Veterans
ClinicalTrials.gov study NCT03578003. IPD Sharing: YES. Countries: 1. Publications: 1.
Quality Improvement and Clinical Utility PrecivityAD2(TM) Clinician Survey
ClinicalTrials.gov study NCT06025877. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
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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.