Dataset Information

Double slope solar still distillate output data set for conventional still and still with or without reflectors and PCM using high TDS water samples.

ABSTRACT: The rate of distillate and temperatures are important factors for analyzing the solar stills. The higher rate of distillate and hence the higher efficiency can be achieved by engrossing different measures to develop the still, for example; double slope instead of single slope, incorporating reflectors for maximum insolation, use of PCM for increasing the time period of operation of solar still after sun hours. The data associated with developed double slope solar still is presented to correlate variation of distillate output with the still basin and glass cover temperatures as well as stills with and without reflectors and PCM for different types of high TDS level water samples. The data set of temperature and distillate output can be used to analyze the working of stills for its efficiency and effectiveness in terms of distillate yield.

SUBMITTER: Kumbhar SV

PROVIDER: S-EPMC6444132 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Double slope solar still distillate output data set for conventional still and still with or without reflectors and PCM using high TDS water samples.

Kumbhar Siddharaj V SV

Data in brief 20190320

The rate of distillate and temperatures are important factors for analyzing the solar stills. The higher rate of distillate and hence the higher efficiency can be achieved by engrossing different measures to develop the still, for example; double slope instead of single slope, incorporating reflectors for maximum insolation, use of PCM for increasing the time period of operation of solar still after sun hours. The data associated with developed double slope solar still is presented to correlate ...[more]

PMID: 30984809

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Project description:BackgroundAdvanced models including time-lapse imaging and artificial intelligence technologies have been used to predict blastocyst formation. However, the conventional morphological evaluation of embryos is still widely used. The purpose of the present study was to evaluate the predictive power of conventional morphological evaluation regarding blastocyst formation.MethodsRetrospective evaluation of data from 15,613 patients receiving blastocyst culture from January 2013 through December 2020 in our institution were reviewed. Generalized estimating equations (GEE) were used to establish the morphology-based model. To estimate whether including more features regarding patient characteristics and cycle parameters improve the predicting power, we also establish models including 27 more features with either LASSO regression or XGbosst. The predicted number of blastocyst were associated with the observed number of the blastocyst and were used to predict the blastocyst transfer cancellation either in fresh or frozen cycles.ResultsBased on early cleavage and routine observed morphological parameters (cell number, fragmentation, and symmetry), the GEE model predicted blastocyst formation with an AUC of 0.779(95%CI: 0.77-0.787) and an accuracy of 74.7%(95%CI: 73.9%-75.5%) in the validation set. LASSO regression model and XGboost model based on the combination of cycle characteristics and embryo morphology yielded similar predicting power with AUCs of 0.78(95%CI: 0.771-0.789) and 0.754(95%CI: 0.745-0.763), respectively. For per-cycle blastocyst yield, the predicted number of blastocysts using morphological parameters alone strongly correlated with observed blastocyst number (r = 0.897, P < 0.0001) and predicted blastocyst transfer cancel with an AUC of 0.926((95%CI: 0.911-0.94).ConclusionThe data suggested that routine morphology observation remained a feasible tool to support an informed decision regarding the day of transfer. However, models based on the combination of cycle characteristics and embryo morphology do not increase the predicting power significantly.

Dataset Information

Double slope solar still distillate output data set for conventional still and still with or without reflectors and PCM using high TDS water samples.

Publications

Double slope solar still distillate output data set for conventional still and still with or without reflectors and PCM using high TDS water samples.

Similar Datasets

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