Depletion of putative SDH subunits leads to decreased SDH activity and oxygen consumption. by Mariana F. Silva (10219520)

Point cloud fusion instance effect. by Hongliang Zou (20707270)

Subjects:

Numerical data points underlying presented graphs. by Luke R. Joyce (12107297)

Amount of each solution for colour reaction. by Jiahe Fan (8344167)

Effect-size measures and significance tests for pairwise analysis, according to the type of variables in each pair. by Jesus Felix Bayta Valenzuela (6996767)

Relationship of amount of remittances and estimated probability of skilled delivery with MAMA Kit (adjusted model) n = 105. by Chelsea Ducille (21540080)

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Average amounts of lipid, glycogen, and sugar in infected larvae (red) and non-infected larvae (blue) of <i>Ceratitis capitata</i>. by Wafa Djobbi (5180810)

Change in the levels of parental stressors or rewards between time point 1 and time point 2. by Ragnhild Bjørknes (4908577)

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PD-1 deficiency does not significantly impact the pathogen load and pathology following <i>S</i>. <i>japonicum</i> infection. by Liaoxun Lu (179293)

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Comparison of ROC curves in predicting COVID-19-related mortality for serum IL-6 and IL-10 levels. by Hasan Selcuk Ozger (11785143)

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Patient demographic information at four time points. by Ruitian Song (11045127)

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Height of All-time men and women top lists in 5 styles and 17 events. a = significantly taller than BF and MD; b = significantly taller than MD; c = significantly taller than 200m... by Amir Nazari Mehrabi (22265267)

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Image_2_Increasing Precipitation Interval Has More Impacts on Litter Mass Loss Than Decreasing Precipitation Amount in Desert Steppe.JPEG by Hao Qu (623045)

“…Therefore, we conducted a 3-year manipulative research in a desert steppe to assess the effects of decreasing precipitation amount and increasing precipitation interval on the litter mass loss of Stipa klemenzii and their relationships with litter chemical traits [contents of carbon (C), nitrogen (N), phosphorus (P), potassium (K), lignin and ash, C/N ratio, and lignin/N ratio] and abiotic factors (light intensity and temperature and humidity of soil and air). …”

Image_1_Increasing Precipitation Interval Has More Impacts on Litter Mass Loss Than Decreasing Precipitation Amount in Desert Steppe.JPEG by Hao Qu (623045)

“…Therefore, we conducted a 3-year manipulative research in a desert steppe to assess the effects of decreasing precipitation amount and increasing precipitation interval on the litter mass loss of Stipa klemenzii and their relationships with litter chemical traits [contents of carbon (C), nitrogen (N), phosphorus (P), potassium (K), lignin and ash, C/N ratio, and lignin/N ratio] and abiotic factors (light intensity and temperature and humidity of soil and air). …”

Table_1_Increasing Precipitation Interval Has More Impacts on Litter Mass Loss Than Decreasing Precipitation Amount in Desert Steppe.DOCX by Hao Qu (623045)

“…Therefore, we conducted a 3-year manipulative research in a desert steppe to assess the effects of decreasing precipitation amount and increasing precipitation interval on the litter mass loss of Stipa klemenzii and their relationships with litter chemical traits [contents of carbon (C), nitrogen (N), phosphorus (P), potassium (K), lignin and ash, C/N ratio, and lignin/N ratio] and abiotic factors (light intensity and temperature and humidity of soil and air). …”

Summary of significant variant associations and prediction accuracies from 93 species-antibiotics combinations. by Jiwoong Kim (279952)

Importance of the features that remained significant over short/mid/long-term prediction windows. by Maria Mahbub (11914235)

Random Forest based prediction process. by Mohammed Majeed Hameed (14053535)

“…To address this, the study focuses on the Lotschental catchment in Switzerland, conducting a comprehensive comparison between deep learning and ensemble-based models. Given the significant autocorrelation in runoff time series data, which may hinder the evaluation of prediction models, a novel statistical method is employed to assess the effectiveness of forecasting models in detecting turning points in the runoff data. …”

Prediction models based on neural networks. by Jorge L. B. Araújo (20324246)

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Predicted genetic effects of individual and epistasis loci with standard error, significance, and heritability for body surface area in the base model. by Mita Khatun (6038036)

“…<p>Predicted genetic effects of individual and epistasis loci with standard error, significance, and heritability for body surface area in the base model.…”