Throughout his work, Lev S. Vygotsky （1896-1934） pursued the objective of reformulating psychological theory. His historical-cultural analysis of the ＂crisis in psychology＂ showed that, beyond contradictions betwe...Throughout his work, Lev S. Vygotsky （1896-1934） pursued the objective of reformulating psychological theory. His historical-cultural analysis of the ＂crisis in psychology＂ showed that, beyond contradictions between the two main methodological currents---＂objective/explanatory＂ and ＂subjective/intuitive＂--psychology is primarily influenced by its empirical-sensory foundations. This influence is actually at the origin of the disagreement since it maintains the obligation for the two currents to make reference to empirical-sensory data. Only a general model of the developing human being, assessed by its usefulness, will allow reorienting psychology towards a broader science. This would lead to a general theory of psychology, which could then facilitate the search for tools for an indirect method enabling it to go beyond empiricism.展开更多
Chloroplasts are organelles found in plant cells that conduct photosynthesis. The subchloroplast locations of proteins are correlated with their functions. With the availability of a great number of protein data, it i...Chloroplasts are organelles found in plant cells that conduct photosynthesis. The subchloroplast locations of proteins are correlated with their functions. With the availability of a great number of protein data, it is highly desired to develop a com- putational method to predict the subchloroplast locations of chloroplast proteins. In this study, we proposed a novel method to predict subchloroplast locations of proteins using tripeptide compositions. It first used the binomial distribution to optimize the feature sets. Then the support vector machine was selected to perform the prediction of subchloroplast locations of proteins. The proposed method was tested on a reliable and rigorous dataset including 259 chloroplast proteins with sequence identity ≤ 25%. In the jack-knife cross-validation, 92.21% envelope proteins, 93.20% thylakoid mem- brane, 52.63% thylakoid lumen and 85.00% stroma can be correctly identified. The overall accuracy achieves 88.03% which is higher than that of other models. Based on this method, a predictor called ChloPred has been built and can be freely available from http：//cobi.uestc.edu.cn/people/hlin/tools/ChloPred/. The predictor will provide important information for theoretical and experimental research of chloroplast proteins.展开更多
文摘Throughout his work, Lev S. Vygotsky （1896-1934） pursued the objective of reformulating psychological theory. His historical-cultural analysis of the ＂crisis in psychology＂ showed that, beyond contradictions between the two main methodological currents---＂objective/explanatory＂ and ＂subjective/intuitive＂--psychology is primarily influenced by its empirical-sensory foundations. This influence is actually at the origin of the disagreement since it maintains the obligation for the two currents to make reference to empirical-sensory data. Only a general model of the developing human being, assessed by its usefulness, will allow reorienting psychology towards a broader science. This would lead to a general theory of psychology, which could then facilitate the search for tools for an indirect method enabling it to go beyond empiricism.
文摘Chloroplasts are organelles found in plant cells that conduct photosynthesis. The subchloroplast locations of proteins are correlated with their functions. With the availability of a great number of protein data, it is highly desired to develop a com- putational method to predict the subchloroplast locations of chloroplast proteins. In this study, we proposed a novel method to predict subchloroplast locations of proteins using tripeptide compositions. It first used the binomial distribution to optimize the feature sets. Then the support vector machine was selected to perform the prediction of subchloroplast locations of proteins. The proposed method was tested on a reliable and rigorous dataset including 259 chloroplast proteins with sequence identity ≤ 25%. In the jack-knife cross-validation, 92.21% envelope proteins, 93.20% thylakoid mem- brane, 52.63% thylakoid lumen and 85.00% stroma can be correctly identified. The overall accuracy achieves 88.03% which is higher than that of other models. Based on this method, a predictor called ChloPred has been built and can be freely available from http：//cobi.uestc.edu.cn/people/hlin/tools/ChloPred/. The predictor will provide important information for theoretical and experimental research of chloroplast proteins.
