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1,610 results for “ratio”
Data from: CoZr nanocomposites in a ceramic-metal AlOx(OH)y/Al matrix with different Co/Zr ratio and its potential for syngas processing
<p>Data from article in Dalton Transaction</p>
Variance in offspring sex ratio and maternal allocation in a highly invasive mammal
<p>Skewed sex ratios at birth are widely reported in wild populations, however the extent to which parents are able to modulate the sex ratio of offspring to maximize their own fitness remains unclear. This is particularly true for highly polytocous species as maximizing fitness may include trade-offs between sex ratio and the size and number of offspring in litters. In such cases, it may be adaptive for mothers to adjust both the number of offspring per litter and offspring sex to maximize individual fitness. Investigating maternal sex allocation in wild pigs (<em>Sus scrofa</em>) under stochastic environmental conditions, we predicted that, under favorable conditions, high quality mothers (larger, older) would produce male-biased litters and invest more in producing larger litters with more males. We also predicted sex ratio would vary relative to litter size, with a male-bias among smaller litters. We found evidence that increasing wild boar ancestry, maternal age and condition, and resource availability may weakly contribute to male-biased sex ratio, however, unknown factors not measured in this study are assumed to be more influential. High quality mothers allocated more resources in litter production, but this relationship was driven by adjustment of litter size, not sex ratio. There was no relationship between sex ratio and litter size. Collectively, our results emphasized that adjustment of litter size appeared to be the primary reproductive characteristic manipulated in wild pigs to increase fitness rather than adjustment of offspring sex ratio.</p>
Fig. 1 in Seasonal Changes In The Sex Ratio Of Nyctalus Species In North-East Hungary
Fig. 1. The numbers of males and females of N. leisleri grouped into 15 day periods
Fig. 2 in Seasonal Changes In The Sex Ratio Of Nyctalus Species In North-East Hungary
Fig. 2. The numbers of males and females of N. noctula grouped into 15 day periods
Figure 3 in Microbial control of live/dead zooplankton ratio in Sevastopol Bay
Figure 3. Stages of decomposition of copepod carcasses. Explanations are in the text.
Figure 2 in Microbial control of live/dead zooplankton ratio in Sevastopol Bay
Figure 2. Sampling sites in Sevastopol Bay and adjacent coastal waters.
Toward a better understanding of curve number and initial abstraction ratio values from a large-dataset of watersheds perspective
<p>The code within this repository is founded on the analysis of the Natural Resources Conservation Service Curve Number (NRCS-CN) method and its parameters. The analyses make use of the [CARAVAN dataset and your extensios] (<a href="../records/6578598" rel="nofollow">https://zenodo.org/records/6578598</a>). The separation of streamflow into baseflow and runoff is based on the methodology established by Xie et al. (2020) (<a href="https://doi.org/10.1016/j.jhydrol.2020.124628" rel="nofollow">https://doi.org/10.1016/j.jhydrol.2020.124628</a>).</p> <p>Contained within this repository are 5 Jupyter Notebooks, each focused on the application of the NRCS-CN method using distinct data analysis approaches:</p> <ul> <li>Principal Components Analysis</li> <li>Random Forest</li> <li>NRCS-NEH</li> <li>NRCS-ASYMPTOTIC </li> <li>NRCS-LEAST-SQUARES</li> </ul> <p>Additionally, the results of the metrics from applying these methods can be found in the files Metrics_runoff_G1 and Metrics_runoff_G2. The folder Times_series contains the time series of simulated runoff using the NRCS methods.</p> <p>Channel Log: </p> <p> Version v2 - Version of the official paper release. No changes in the data but added a static copy of the accompanying code of the paper. </p> <p>Version 1.0 - In this version, the Asymptotic method was considered with natural data</p>
The benefit of combining a deep neural network architecture with ideal ratio mask estimation in computational speech segregation to improve speech intelligibility
<p>Contains all the data:</p> <p>Bentsen, T., T.May, A. A. Kresnner, and T. Dau. The benefit of combining<br> a deep neural network architecture with ideal ratio mask estimation<br> in computational speech segregation to improve speech intelligibility.<br> PLOS ONE., in review.</p> <p>There are two folders:</p> <ol> <li><strong>WRSs:</strong> the Word Recognition Scores (WRSs) from the listener study. The matrix has dimensions 9 conditions x 20 subjects. Data is ordered corresponding to the following condition order:<br> 'UP', 'GMM', 'GMM (3 subbands)', 'GMM (7 subbands)', 'GMM (11 subbands)', 'DNN (IBM)'; 'DNN (IBM, 40 ms)'; 'DNN (IRM)'; 'DNN (IRM, 40 ms)'</li> <li><strong>Masks:</strong> <ul> <li><strong>GMM-IBMs: </strong>IBMs and estimated IBMs for the models 'GMM', 'GMM (3 subbands)', 'GMM (7 subbands)', 'GMM (11 subbands)'</li> <li><strong>DNN-IBMs:</strong> IBMs and estimated IBMs for the models 'DNN (IBM)'; 'DNN (IBM, 40 ms)'</li> <li><strong>DNN-IRMs</strong>: IRMs and estimated IRMs for the models 'DNN (IRM)'; 'DNN (IRM, 40 ms)'</li> </ul> </li> </ol>
neutrophil-lymphocyte ratio and platelet-lymphocyte ratio in early stage breast cancer as predictor of disease free survival
<p>The relationship between neutrophil-lymphocyte ratio (NLR) and outcome probably a complex and multifactorial issues. High neutrophil-lymphocyte ratio (NLR) is reflect the role of systemic inflammation in accelerate angiogenesis, tumor grow-up, and metastasis development.</p> <p><strong>Objective:</strong> The study aimed to estimate the relation between NLR, and PLR with disease free survival (DFS), and assess the values of clinico-pathologic factors on the prognosis.</p> <p><strong>Methods: </strong>Retrospectively we reviewed 1167 files and 102 patients with breast cancer included in Babylon Oncology Center from January 2009 to September 2014, and follow up for at least 36 months.</p> <p><strong>Results: </strong>102 patients, with mean age of 50.4 ± 11.7 years and minimum follow up 40 months, the overall median DFS was 62 months with 5 – years DFS of 52.5%, stage N0 show significant better DFS compared to stage N1 (P value 0.004), also patients with positive hormonal status show significant better DFS compared to negative hormonal status. The isolated local recurrence is 15% while combined local recurrences and distant metastasis is 37%.</p> <p><strong>Conclusion: </strong>NLR is a prognostic marker, and its establish the prediction models warrants further investigation. Increase NLR is strongly associated with poor DFS, and it can be as a predictive and prognostic factor.</p>
A possible formation channel for blue hook stars in globular cluster - II. Effects of metallicity, mass ratio, tidal enhancement efficiency and helium abundance
<p>MESA inlists and run_star_extras associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2016MNRAS.463.3449L">Lei et al. (2016)</a>. MESA version 7211.</p> <p>Publication DOI: <a href="https://doi.org/10.1093/mnras/stw2242">10.1093/mnras/stw2242</a></p>
Data for "Why Study Gene Ratios" manuscript
<p>This upload includes the pre-processed data used for the "Why Study Gene Ratios" manuscript.</p>
Nuc/Mito Ribosomal Ratio as an index of growth rate
<p>The dataset (NMRR.csv) consists of information regarding <em>Daphnia magna</em> in Nuc/Mito ribosomal ratio experiment. Information included treatments, ribosomal ratio, somatic growth rate, size, culture duration, rRNA counts and total RNA concentration. Total 166 samples recorded in this data set. </p> <p>R script file (NMRR.R) consists of R code for all the statistical analysis conducted in this study.</p>
Figure 2 in Sex ratio estimations of Chelonia mydas hatchlings at Samandağ Beach, Turkey
Figure 2. Frequency of incubation durations in examined nests at Samandağ Beach.
Figure 1 in Sex ratio estimations of Chelonia mydas hatchlings at Samandağ Beach, Turkey
Figure 1. Map showing study area of Samandağ Beach.
Modeling the Early Earth: Core Formation in the Nebular Era Does Not Guarantee a High 3He/4He Ratio
<p>We include the two files used to generate all figures in the manuscript.</p> <ol> <li>"input.csv" - includes the randomly generated parameters used to build the model protoplanet for each iteration of the model (set, phi, radius, t_accr, d_He, thermal gradient, radius fraction of equilibration, kappa)</li> <li>"results.csv" - includes the parameters calculated within the model for each iteration (surface temperature, M.O. reaction temperature, surface pressure, M.O. reaction pressure, dIW, mole fraction of O in metal, d_U+Th, 3He/4He ratio, 3He/4He ratio after 4.5 Gyrs)</li> </ol>
Prognostic value of a modified pathological staging system for gastric cancer based on the number of retrieved lymph nodes and metastatic lymph node ratio raw data
<p><span>Clinical data from the US Surveillance, Epidemiology, and End Results (SEER) Program from 2010-2015 (https://seer.cancer.gov/) was extracted and analyzed as training set, data from 2016-2017 was adopted as internal validation set. Data from The Cancer Genome Atlas Program (TCGA) (https://portal.gdc.cancer.gov/) and prognosis data from Gastrointestinal surgery Department, Third Affiliated Hospital of Sun Yat-sen University were applied as external validation sets. </span></p> <p><span>Screening criteria for gastric cancer cases were as follow: exclusion of cases with only autopsy or death certificate, cases where initial tumor location was not stomach, patients with stage 0 and stage IV, cases without radical surgery, non-adenocarcinoma cases, death cases within one month after operation, and cases with unknown lymph node information and AJCC TNM stage.</span></p> <p><span>The study analyzed various factors such as age of diagnosis (<50 years, 50-69 years, >69 years), gender, race (white, black, other), AJCC T stage (T1-T4b), AJCC TNM stage (I-III), primary tumor location (stomach body, antrum/pylorus, cardia/fundus, greater gastric recurve, lesser gastric recurve, overlapping area, NOS), Clinical features such as tumor size (≥5cm,<5cm, unknown), tumor grade (I-IV), chemotherapy, radiotherapy, number of lymph nodes retrieved and number of metastases, and lymph node positive rate. The populations of American Indian/Alaskan and Asian/Pacific Islander were classified as "other" due to small sample sizes. Tumor grade was also analyzed, with grades I-IV representing highly differentiated, moderately differentiated, poorly differentiated, and signed-ring cell carcinoma, respectively. Overall survival (OS) is the time from cancer diagnosis to death from any cause, while disease-specific survival (DSS) is the time from cancer diagnosis to death specifically due to the disease.</span></p> <p><strong><span> </span></strong></p>
Effects of Different Momentum Ratios and Reynolds Number in a T-junction with an Upstream Elbow
<p>In accordance with EPSRC funding requirements, this supplementary dataset provides all supporting data used to create figures in the following reference:</p> <p>Wong, Y. H., Lampunio, L., Duan, Y., Eaton, M. D., & Bluck, M. J. (2024). Effects of different momentum ratios and Reynolds number in a T-junction with an upstream elbow. <em>Nuclear Engineering and Design</em>, <em>428</em>. https://doi.org/10.1016/j.nucengdes.2024.113523</p> <div> </div> <p> </p>
Data from "Examination of how properties of a fissioning system impact isomeric yield ratios of the fragments"
<p>Data from PRC article "Examination of how properties of a fissioning system impact isomeric yield ratios of the fragments"<br>https://doi.org/10.1103/PhysRevC.108.064602</p>
Fast and Accurate Prediction of Tautomer Ratios in Aqueous Solution via a Siamese Neural Network
<p>Tautomerization plays a critical role in many chemical and biological processes, impacting the molecular stability, reactivity, biological activity, and ADME-Tox properties. Many drug-like molecules exist in multiple tautomeric states in aqueous solutions and complicating drug discovery. Predicting these tautomeric ratios and identifying the predominant species rapidly and accurately is crucial for computational drug discovery. In this study, we introduce sPhysNet-Taut, a deep learning model fine-tuned with experimental data leveraging the Siamese network. This model predicts tautomer ratios in aqueous solution using MMFF94-optimized geometries directly. On an experimental test set, sPhysNet-Taut surpasses all other methods, achieving state-of-the-art performance with an RMSE of 1.9 kcal/mol on the 100-tautomers set and an RMSE of 1.0 kcal/mol on the SAMPL2 challenge, and providing the best ranking power for tautomer pairs. Additionally, our results demonstrate that fine-tuning on experimental data significantly improves model performance compared to training from scratch. This work not only provides a useful deep learning model for predicting tautomer ratios, but also provides a protocol for modeling pairwise data. To facilitate user-friendliness, we developed a readily accessible tool to predict stable tautomeric states in aqueous solutions, enumerating all possible tautomeric states and ranking them using the sPhysNet-Taut model.</p>
THE EFFECT OF CURRENT RATIO, RETURN ON EQUITY, AND DEBT TO EQUITY RATIO ON STOCK RETURNS ON THE INDONESIA STOCK EXCHANGE
<p>This research examined the effect of the Current Ratio, Return on Equity, and Debt to Equity Ratio on Stock Returns in Kompas 100 Companies Listed on the Indonesia Stock Exchange in the 2015-2019 period. The sampling technique used in this study was purposive sampling. The samples obtained were 30 companies from 100 companies. The type of data used in this research is secondary data, and the method of analysis uses multiple linear regression analysis. Based on the data analysis done, the variable Return on Equity has a positive and significant effect on stock returns. The Current Ratio has a negative and insignificant effect on stock returns, and the Debt to Equity Ratio has a negative and insignificant effect on stock returns. The current ratio, return on equity, and debt to equity ratio simultaneously does not affect stock returns.</p>
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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.