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18 results for “Lasso”
Dataset for Paper Titled "First assessment of cloud-land coupling in LASSO Large-Eddy Simulations"
<div>The attached two files were used for analysis in the paper "First assessment of cloud-land coupling in LASSO Large-Eddy Simulations." The NetCDF file included planetary boundary layer heights derived from lidar and radiosondes. The CSV file detailed the model configurations for selected case days in simulation sets ID1-5.</div> <div> <div> <p> </p> </div> </div>
LASSO coherent seismic wavefield reconstruction and source imaging
<p>Coherent wavefield reconstruction and source imaging has been performed for 4 cataloged seismic events recorded with the Large-N Seismic Survey in Oklahoma (LASSO). The array consists of almost 2,000 densely spaced seismic stations and the corresponding raw time sries data have been made freely accessible by the Incorporated Research Institutions for Seismology (IRIS). The results for the 4 seismic events are accompanied with results gained for controlled seismic simulations for two of these events Reconstruction results and source images are provided in HDF5 and MAT file formats, respectively. File names were giving according to the following pattern: <br> <br> "LASSO_<<em>event name>_<reconstruction mode>_<result type>"</em></p> <p>where <<em>reconstruction mode</em>> refers either to "enhancement" (reconstruction performed for the original station layout) or "regularization" (reconstruction perfomed for a new, sense and regular station layout). <<em>result type</em>> denotes either reconstructed waveforms ("wavefield"), waveform coherence ("coherence"), or spatial source images. For the HDF5 files, mportant meta information like spatial coordinates and temporal sampling parameters are stored in a symbolic dictionary named "META", whereas the time series data is saved as a 2D matrix. Important META fields include "ntrac" (number of traces), "nt" (number of time samples), "dt" (dampling interval), "gx" (stations x coordinates), "gy" (stations y coordinates).<br> <br> The MAT files (result type "images") contain raw waveform and STA/LTA images, which are stored as 3D regular arrays named "recm1z_Enh_5_raw" (enhancement) / "recm1z_Reg5_5_raw" (regularization) and "recm1z_Enh_5_slta" (enhancement) / "recm1z_Reg5_5_slta" (regularization), respectively. For comparison, source images generated for the raw field data (without reconstruction are included in every MAT file and can be accessed through fields "recm1z_Raw_raw" and "recm1z_Raw_slta".</p>
Merging Flow Synthesis and Enzymatic Maturation to Expand the Chemical Space of Lasso Peptides
<p>LC-MS, UHPLC, and LC-IM-MS data of the corresponding publication</p>
Data from: Substrate interactions guide cyclase engineering and lasso peptide diversification
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Data from: Systematics and diversification of Anindobothrium Marques, Brooks & Lasso, 2001 (Eucestoda: Rhinebothriidea)
Tapeworms of the genus Anindobothrium Marques, Brooks & Lasso, 2001 are found in both marine and Neotropical freshwater stingrays of the family Potamotrygonidae. The patterns of host association within the genus support the most recent hypothesis about the history of diversification of potamotrygonids, which suggests that the ancestor of freshwater lineages of the Potamotrygonidae colonized South American river systems through marine incursion events. Despite the relevance of the genus Anindobothrium to understand the history of colonization and diversification of potamotrygonids, no additional efforts were done to better investigate the phylogenetic relationship of this taxon with other lineages of cestodes since its erection. This study is a result of recent collecting efforts to sample members of the genus in marine and freshwater potamotrygonids that enabled the most extensive documentation of the fauna of Anindobothrium parasitizing species of Styracura de Carvalho, Loboda & da Silva, Potamotrygon schroederi Fernández-Yépez, P. orbignyi (Castelnau) and P. yepezi Castex & Castello from six different countries, representing the eastern Pacific Ocean, Caribbean Sea, and river basins in South America (Rio Negro, Orinoco, and Maracaibo). The newly collected material provided additional specimens for morphological studies and molecular samples for subsequent phylogenetic analyses that allowed us to address the phylogenetic position of Anindobothrium and provide molecular and morphological evidence to recognize two additional species for the genus. The taxonomic actions that followed our analyses included the proposition of a new family, Anindobothriidae fam. n., to accommodate the genus Anindobothrium in the order Rhinebothriidea Healy, Caira, Jensen, Webster & Littlewood, 2009 and the description of two new species — one from the eastern Pacific Ocean, A. carrioni sp. n., and the other from the Caribbean Sea, A. inexpectatum sp. n. In addition, we also present a redescription of the type species of the genus, A. anacolum (Brooks, 1977) Marques, Brooks & Lasso, 2001, and of A. lisae Marques, Brooks & Lasso, 2001. We also discuss the paleogeographical events mostly linked with the diversification of the genus and the protocols adopted to uncover cryptic diversity in Anindobothrium.
Variational Quantum Classifier-based early identification and classification of chronic kidney disease using Sparse autoencoder and Lasso Shrinkage
<p>The dataset used in this project includes patient data relevant to the identification of chronic kidney disease, including features such as:</p> <p> Age<br> Blood pressure<br> Specific blood markers (e.g., creatinine, hemoglobin)<br> Glomerular filtration rate (GFR)<br> Other medical attributes used for diagnosing CKD</p> <p>File structure of the dataset:</p> <p> chronic_kidney_disease.csv: Contains the labeled medical data for CKD classification.</p>
Self-locking Tenodesis of the Long Chief of the Biceps Vs. Lasso 360 Tenodesis in Arthroscopic Rotator Cuff Repair Rotator Cuff Repair
ClinicalTrials.gov study NCT06774820. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Systematics and diversification of Anindobothrium Marques, Brooks & Lasso, 2001 (Eucestoda: Rhinebothriidea)
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Supplementary material 3 from: Lozano AP, Lasso-Alcalá OM, Bittencourt PS, Taphorn DC, Perez N, Farias IP (2022) A new species of Astronotus (Teleostei, Cichlidae) from the Orinoco River and Gulf of Paria basins, northern South America. ZooKeys 1113: 111-152. https://doi.org/10.3897/zookeys.1113.81240
Data S1
Supplementary material 2 from: Lozano AP, Lasso-Alcalá OM, Bittencourt PS, Taphorn DC, Perez N, Farias IP (2022) A new species of Astronotus (Teleostei, Cichlidae) from the Orinoco River and Gulf of Paria basins, northern South America. ZooKeys 1113: 111-152. https://doi.org/10.3897/zookeys.1113.81240
Figure S1
Supplementary material 1 from: Lozano AP, Lasso-Alcalá OM, Bittencourt PS, Taphorn DC, Perez N, Farias IP (2022) A new species of Astronotus (Teleostei, Cichlidae) from the Orinoco River and Gulf of Paria basins, northern South America. ZooKeys 1113: 111-152. https://doi.org/10.3897/zookeys.1113.81240
Table S1–S5
Vdrive Evaluation of Remote Steering and Testing in Lasso Electrophysiology Procedures Study
ClinicalTrials.gov study NCT01656772. IPD Sharing: Not stated. Countries: 3. Publications: 0.
LaSSO, a strategy for genome-wide mapping of intronic lariats and branch-points using RNA-seq
GEO Series GSE50246. Schizosaccharomyces pombe. 4 samples. Type: Expression profiling by high throughput sequencing.
Hitting the caspofungin salvage pathway of human-pathogenic fungi with the novel lasso peptide humidimycin (MDN-0010)
GEO Series GSE55663. Aspergillus fumigatus. 12 samples. Type: Expression profiling by high throughput sequencing.
Integrative RNA-seq and LASSO-COX analysis reveal Paeonol's key target gene in proliferation suppression and apoptosis-induced in Cervical Cancer
GEO Series GSE305604. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Identification of Potential Functional Modules and Diagnostic Genes for Crohn's Disease Based on Weighted Gene Co-expression Network Analysis and LASSO Algorithm
<p>Table S1 651 DEGs between CD and control samples</p> <p>Table S2 381 ME turquoise module genes</p> <p>Table S3 Coefficients of the eight module genes analyzed by LASSO regression</p>
Chrom-Lasso：A lasso regression-based model to detect functional chromatin interactions using Hi-C data
GEO Series GSE158375. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing; Other.
Raw_Data_Diagnosis of tuberculous pericarditis: A Diagnostic Prediction Model Based on LASSO Logistic Regression
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