![]() ![]() technology, and the construction of the index analysis model is completed. First, the indicator parameter classification is determined, then the data mining technology is imported, the sports training analysis mechanism is established through this. To solve this problem, this paper proposes data mining technology. This study demonstrates the precise classification of transporter function based on sequence-derived physicochemical features.Ībstract The conventional analysis method can provide a general analysis of sports training index, but its ability is relatively low when analyzing niche data. ![]() Decision Tree with accuracy criterion was able to predict the specificity of calcium transporter irrespective of the organism and subcellular location. Random Forest with accuracy criterion showed the highest accuracy (88.88% ±5.75%) and high AUC (0.964 ± 0.020), based on 5-fold cross-validation. Calcium transporters in the cell outer membranes were specific, while the inner ones were general additionally, when the hydrophobic frequency or Aliphatic index is increased, the calcium transporter act as a general transporter. Aliphatic index, subcellular location, organism, Ile-Leu frequency, Glycine frequency, hydrophobic frequency, and specific dipeptides such as Ile-Leu, Phe-Val, and Tyr-Gln were the key features in differentiating general from specific calcium transporters. To this end, 444 protein features, such as the frequency of dipeptides, organism, and subcellular location, were extracted for general (n = 103) and specific calcium transporters (n = 238). This study compared categorical and numerical features of general and specific calcium transporters using machine learning and attribute weighting models. A transporter can exclusively transport one ion (specific transporter) or multiple ions (general transporter). Understanding the underlying molecular mechanism of transporter activity is one of the major discussions in structural biology. In Cho M's study of the cause and consequence correlation between ownership structure and investment and firm value, an ordinary least squares regression result has been drawn and demonstrates the causality of three elements, indicating the one-way causation of firm value to ownership structure, questioning and existing assumption of the homogeneity of ownership composition. The model shows that the major factor would be financial indicators, accompanied by the following solvency ranks and profitability. Zhang Chong, Zhang Xinrui and Yang Zipei Constructed an integrated and objective model of the investment value of enterprise to place the key determinants of corporate value. To explore the effects of Economic policy uncertainty(EPU) associated with firm characteristics on Capital structure optimization of US companies, Li X and Qiu M compared firm's Debt-financing ratios coming with different EPU, concluding that even the marginal effects of both EPU and firm characteristics are inconsistent under varied circumstances, the increase in EPU would generally lead to a remarkable decrease in corporate debt ratio. ![]()
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