574 research outputs found
InCHIANTIDisabilitySupplementary_0501SAT – Supplemental material for Cardiovascular Health Is Associated With Disability Among Older Community Dwelling Men and Women
Supplemental material, InCHIANTIDisabilitySupplementary_0501SAT for Cardiovascular Health Is Associated With Disability Among Older Community Dwelling Men and Women by Yichen Jin, Toshiko Tanaka, Yan Ma, Stefania Bandinelli, Luigi Ferrucci, and Sameera A. Talegawkar in Journal of Aging and Health</p
sj-H-2-pib-10.1177_09544054221090043 – Supplemental material for Tool path regeneration in five-axis flank milling for ruled surface based on error distribution
Supplemental material, sj-H-2-pib-10.1177_09544054221090043 for Tool path regeneration in five-axis flank milling for ruled surface based on error distribution by Chenglin Yao, Gaiyun He, Yicun Sang and Yichen Yan in Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture</p
sj-H-3-pib-10.1177_09544054221090043 – Supplemental material for Tool path regeneration in five-axis flank milling for ruled surface based on error distribution
Supplemental material, sj-H-3-pib-10.1177_09544054221090043 for Tool path regeneration in five-axis flank milling for ruled surface based on error distribution by Chenglin Yao, Gaiyun He, Yicun Sang and Yichen Yan in Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture</p
sj-H-1-pib-10.1177_09544054221090043 – Supplemental material for Tool path regeneration in five-axis flank milling for ruled surface based on error distribution
Supplemental material, sj-H-1-pib-10.1177_09544054221090043 for Tool path regeneration in five-axis flank milling for ruled surface based on error distribution by Chenglin Yao, Gaiyun He, Yicun Sang and Yichen Yan in Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture</p
sj-H-4-pib-10.1177_09544054221090043 – Supplemental material for Tool path regeneration in five-axis flank milling for ruled surface based on error distribution
Supplemental material, sj-H-4-pib-10.1177_09544054221090043 for Tool path regeneration in five-axis flank milling for ruled surface based on error distribution by Chenglin Yao, Gaiyun He, Yicun Sang and Yichen Yan in Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture</p
AI-based solar photovoltaic power forecasting
With the aggravation of the global environmental crisis, renewable energy has achieved unprecedented development. Photovoltaic power generation is one of the most widely used new energy sources because of its clean, safe, pollution-free and other advantages. However, photovoltaic power generation is greatly affected by weather factors and has greater randomness, which poses a threat to the safe and stable operation of the power system. Therefore, the dissertation focuses on the research and discussion of photovoltaic power prediction.
Firstly, the classification of photovoltaic power generation forecasting is introduced in terms of technologies and forms, and the literature review of photovoltaic power generation forecasting based on artificial intelligence is carried out in terms of machine learning and deep learning. The existing research methods such as MLP, SVM, LSTM, CNN, and so on are listed.
Secondly, components of photovoltaic prediction model are introduced, the principles of data preprocessing algorithm, artificial intelligence prediction algorithm and formulas of evaluation indicators used in this dissertation are analyzed. VMD, Pearson correlation coefficient, DenseNet, LSTM, XGBoost and so on have been applied in this dissertation.
Finally, prediction results and errors of the three used data sets are listed and discussed. Conclusion that which method is the most suitable for each dataset are drawn as well.
Key Words: artificial intelligence; solar power forecasting, DenseNet, LSTM, SVMMaster of Science (Power Engineering
Raw Data for "On-demand cell-autonomous gene therapy for brain circuit disorders", Qiu et al. 2022 Science
Raw Data for Qui et al. 2022 10.1126/science.abq6656
On-demand cell-autonomous gene therapy for brain circuit disorders
Yichen Qiu, Nathanael O’Neill, Benito Maffei, Clara Zourray, Amanda Almacellas Barbanoj, Jenna C. Carpenter,Steffan P. Jones, Marco Leite, Thomas J. Turner, Francisco C. Moreira, Albert Snowball, Tawfeeq Shekh-Ahmad, Vincent Magloire, Serena Barral, Manju A. Kurian, Matthew C. Walker, Stephanie Schorge, Dimitri M. Kullmann, Gabriele Lignani
Content:
EEG
MEA
Immuno
Patch Clamp Electrophysiology
All data are in a open source format. MEA files can be analysed using the MATLAB-based developed by Prof Michela Chiappalone and requests should be direct to:
Michela Chiappalone [email protected]
Ilaria Colombi [email protected]
EEG files are .zip with different transmitters. See EEG_Keys.xlxs for whcih virus was used in each animal.
MEA files are divided in 2 separate .zip: 1. Fig2 and Fig S3 and S7. 2. Fig S6.
Immuno: all the raw images are in the .zip file seprated by Figure #
Patch Clamp Electrophysiology: all the raw .abf files are in the .zip file separated by Figure #
For more info or to request materials please contact the corrsponding author Gabriele Lignani [email protected]
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Expression of genes involved in regulation of polyunsaturated fatty acid metabolism in liver of Atlantic salmon (Salmo salar) undergoing parr-smolt transformation
Purposes
The primary aim of this thesis was to study if differences in nutritional and environmental factors influence the regulation of n-3 LC-PUFA synthesis in liver of Atlantic salmon (big smolts) undergoing parr-smolt transformation.
A further aim was to use the cell line RTH-149 to establish a protocol for gene knockout of ∆6 desaturase isoform ∆6fad_b.
Methods
The experimental fish were fed a commercial diet until the start of the trial (30 October 2012), and thereafter fed a diet with an oil fraction consisting of only 10% fish oil (FO) and 90% vegetable oil (VO) until the end of the trial. The fish were kept under full light (24 hours per day), except in a period from 20 November 2012 to 16 January 2013, when the light duration was gradually reduced from 24 hours to 12 hours in order to delay the smoltification process in the fish so that a large smolt could be produced in freshwater. Thereafter the fish were subjected to 24 hours light again to prepare it for final smoltification and transfer to seawater in February at approximately 400 gram. The expression of the selected genes (including ∆5 and ∆6 desaturases, transcription factors PPARα and SREBPS, and microRNAs which are related to lipid metabolism) was determined at four time points (30 October 2012, 27 November 2012, 26 February 2013 and 12 March 2013) during this fish trial.
Cell line RTH-149 were transfected at a confluence of approximately 70% by CRISPR-Cas9 system with either sgRNA1, sgRNA2, sgRNA1/2 (a combination of sgRNA1 and sgRNA2, both sgRNA1 and sgRNA2 are targeting gene ∆6fad_b but with different cleavage sites) or sgRNA of control random-oligo. The differently transfected cells were further split for time-course study. The expression of the protein coding genes was determined at three selected time points during a 24-hour experiment with an interval of eight hours (i.e. at 8:00, 16:00 and 0:00).
Results
The expression of ∆5fad and ∆6fad_a increased slightly up to the seawater transfer, and then decreased after seawater transfer. The expressions of these genes in March were almost returned to their starting levels of expression in October. On the contrary, the expression of ∆6fad_b and ∆6fad_c showed a similar pattern of expression from October to February, but the opposite pattern to ∆5fad and ∆6fad_a with an increased expression after seawater transfer. The expression of the transcription factors pparα, srebp-1 and srebp-2 dropped from October to February and thereafter increased prior to seawater transfer, after which the expression levels of pparα and srebp-1 again significantly decreased after seawater transfer except srebp-2 which did not change in seawater. The expressions of mir-122-5p dropped from October to November; the expression increased prior to seawater transfer and thereafter dropped again in seawater. The gene expression of mir-30c-3p, mir-8163-3p, mir-27a-3p, mir-15a-5p, mir-429-3p, mir-33a-3p and mir-145-3p showed a similar pattern prior to seawater transfer, but the expression did not change after transfer to seawater.
There were reduced expression levels of ∆6fad_b 24 hours after transfection but together with a restrained growth rate and a low viability of the cell cultures. There were relatively moderate and few significant differences in the expression of genes involved in lipid metabolism between the three time points measured during the 24 hour duration of experiment in the RTH cell line. Further, we disclosed a potential positive relationship between ∆6fad_a, ∆6fad_b, elovl2a, elovl2b, elovl5a and aco, and a potential compensatory response of gene ∆5fad to the silencing of gene ∆6fad_b.
Conclusions
This present study has shown that both nutritional and environmental factors influence expression of genes involved in regulation of LC-PUFA in liver of Atlantic salmon undergoing parr-smolt transformation. This is the first time that transcription factors and microRNAs were involved in a dynamic regulation of the omega-3 metabolic pathway under different environmental conditions at different life stages.M-A
Sub-phenotypes of Macrophages and Monocytes in COPD and Molecular Pathways for Novel Drug Discovery
Chronic obstructive pulmonary disease (COPD) is a common respiratory disorder and the third leading cause of mortality. In this thesis we performed a clustering analysis of four specific immune cells in the GSE136831 dataset, using the default recommended parameters of the Seurat package in R, and obtained 16 subclasses with various COPD and cell-type proportions. Clusters 3, 7 and 9 had more pronounced independence and were all composed of macrophage-dominated control samples. The results of the pseudo-time analysis based on Monocle 3 package in R showed three different patterns of cell evolution. All started with a high percentage of COPD states, one ended with a high rate of Control states, and the other two still finished with a high percentage of COPD states. The results of differentially expressed gene analysis corroborated the existence of finer clusters and provided support for their rational categorization based on the similar marker genes. The gene ontology (GO) enrichment analysis for cluster 0 and cluster 6 provided feedback on enriched biological process terms with significant and unique characteristics, which could help explore latent novel COPD treatment directions. Finally, some top-ranked potential pharmaceutical molecules were searched via the connectivity map (cMAP) database.Graduate2023-08-1
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