英语达人们帮忙翻译一下吧~~谢谢啦各位 悬赏25分

英语达人们，帮忙翻译一下这段话吧，谢谢啦，急啊！翻译器就算啦~

接着，这是不正确的，上文接着，曾经90%有生命的科学家现在还活着，然后新的科学研究每天都会有新的发现。这些新的想法都会付诸行动。想法跟运用在第一阶段跟第二阶段的时间已经被大大的减少了。我们跟我们的祖先在这里的分别是惊人的。这不是因为我们更取巧或比我们祖先更懒，不过是说，在有限的时间里，创造出所有社交工具去加快这个过程。
请给分，谢谢。 我其实不太懂这文章的意思！

较好的人力资源经验会给高级经理人和雇员带来动力和贡献精神，这些能产生杰出的知识和资源转换，创造整合能力的知识。人力资源管理策略可清晰的表现为建立一些政策，,可以创建公司特有的、独特的资产，包括知识形态，技能和能力等包含在收购公司时，人力资本方面。

MaKao wei's portfolio theory is not only provides theoretical basis for the diversification of investment, and also for how to effectively disperse investment provides analysis framework. But in actual use, MaKao wei watts model also has certain limitations and difficulties:
1. MaKao wei watts model need basic input including securities expectations yields, variance and two of the covariance between two securities. When the number of securities are too, basic input the required estimator is very large, and also can make MaKao wei's use is very limited. Therefore, MaKao wei watts model at present mainly used in the optimal asset allocation decisions.
2. Data error of the solution and not bring reliability. MaKao wei watts model of securities expect to return, and hope, standard deviation and the expectations of the correlation coefficient between securities as a known as the basic input data. If these data no estimate error, MaKao wei watts model can effectively ensure the portfolio. But because the expected data is unknown, need the statistics estimate, so the data will not without error. The statistical estimate because brought the data input on accuracy can make some asset classes of investment high proportion and the other some asset classes of investment ratio is too low.
3. The solution of stability. MaKao wei watts model of another application problem is input data small changes can lead to assets of the weights of the great changes. The stability of the solution of the restrictions MaKao wei watts model formulated in actual application of asset allocation policy. If the input data to based on the quarter to estimate, MaKao wei watts model with will get new assets of the solution of the weight, the new assets on the weight and the weight of the differences in the first quarter can be very large. This means that it must be on asset combination for major changes, and frequent adjustment will make people to MaKao wei watts model produce distrust.
4. The high cost of new configuration. The adjustment of assets ratio will cause unnecessary transaction costs to rise. The adjustment of assets ratio will bring many adverse effects, so the right policy could maintain the status quo is not optimal.
我是高中生，很多词都不会。用翻译器翻译的。将就一下吧。如果没有别的更好的，就选我为最佳吧，谢谢。

1楼想分数想疯了。都说不要机器翻译的了

这个文章难度太大，还涉及证券名词。等高手吧。

Makaoweici of the portfolio theory not only provided a theoretical basis for diversification, but also for how to conduct effective diversification provides analytical framework. In practical use, however, makaoweici model there are some limitations and difficulties:
1. Makaoweici basic models need input include securities expected yield, variance and covariance between 22 securities. When the number of securities during periods, as called for in the basic input estimates are very large, thus making makaoweici use is greatly restricted. Therefore, the makaoweici models are now mainly used in the optimal asset allocation decisions.
2. Unreliability of data error solution. Makaoweici model needs to be the expected yields, the expected standard deviation of securities and securities as known data expects between correlation coefficient as the basic input. If these data are not estimation error, makaoweici model will be able to ensure access to effective portfolio. But because of the expected data is unknown, requires statistical estimation, these data will not be without error. This statistical estimate resulting from inaccuracies in data entered the investment ratio is too high will make some asset classes and investment ratio is too low in other asset classes.
3. Instability of the solution. Another application of makaoweici model problem is that small changes can lead to lost data asset weights of great changes. Instability of the solution has limited makaoweici application model developed at the actual asset allocation policy. If based on quarterly data back to the lost people estimated that makaoweici model will be weighted solution for new assets, new asset weights and weight differences can be significant for the previous quarter. This means major adjustments to the portfolio, and frequent adjustments would distrust the people on the makaoweici model.
4. High costs of reconfiguration. Assets ratio adjustment will cause unnecessary increases in transaction costs. Assets ratio adjustment will bring a lot of adverse effects, so the correct policy may be to maintain the status quo rather than optimization.

MaKao wei's portfolio theory is not only provides theoretical basis for the diversification of investment, and also for how to effectively disperse investment provides analysis framework. But in actual use, MaKao wei watts model also has certain limitations and difficulties:
1. MaKao wei watts model need basic input including securities expectations yields, variance and two of the covariance between two securities. When the number of securities are too, basic input the required estimator is very large, and also can make MaKao wei's use is very limited. Therefore, MaKao wei watts model at present mainly used in the optimal asset allocation decisions.
2. Data error of the solution and not bring reliability. MaKao wei watts model of securities expect to return, and hope, standard deviation and the expectations of the correlation coefficient between securities as a known as the basic input data. If these data no estimate error, MaKao wei watts model can effectively ensure the portfolio. But because the expected data is unknown, need the statistics estimate, so the data will not without error. The statistical estimate because brought the data input on accuracy can make some asset classes of investment high proportion and the other some asset classes of investment ratio is too low.
3. The solution of stability. MaKao wei watts model of another application problem is input data small changes can lead to assets of the weights of the great changes. The stability of the solution of the restrictions MaKao wei watts model formulated in actual application of asset allocation policy. If the input data to based on the quarter to estimate, MaKao wei watts model with will get new assets of the solution of the weight, the new assets on the weight and the weight of the differences in the first quarter can be very large. This means that it must be on asset combination for major changes, and frequent adjustment will make people to MaKao wei watts model produce distrust.
4. The high cost of new configuration. The adjustment of assets ratio will cause unnecessary transaction costs to rise. The adjustment of assets ratio will bring many adverse effects, so the right policy could maintain the status quo is not optimal.

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