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One correlate of that axiom is that Creole languages fall outside the class of structurally "normal"/"genetic" languages with "normal"/"genetic" pedigree as defined by the family-tree model of gradual linguistic change / speciation: languages in the standard family-tree (e.g., French) are assumed to have developed gradually from "normal" full-fledged languages (e.g., Latin), not from structurally reduced Pidgins.

一个跟这个原则相关的就是克里奥尔语言不属于有正常&起源由来&／结构&正常&的语言—也就是在语言上由逐渐改变和演化的家谱模型定义中&正统&且&具起源性&的出身：有正常系统的语言是从&正常&成熟的语言逐渐发展而来，而不是从一个结构上简化的洋泾？语发展而来。

One correlate of that axiom is that Creole languages fall outside the class of structurally "normal"/"genetic" languages with "normal"/"genetic" pedigree as defined by the family-tree model of gradual linguistic change / speciation: languages in the standard family-tree (e.g., French) are assumed to have developed gradually from "normal" full-fledged languages (e.g., Latin), not from structurally reduced Pidgins.

一个跟这个原则相关的就是克里奥尔语言不属於有正常「起源由来」结构「正常」的语言—也就是在语言上由逐渐改变和演化的家谱模型定义中「正统」且「具起源性」的出身：有正常系统的语言是从「正常」成熟的语言逐渐发展而来，而不是从一个结构上简化的洋泾？语发展而来。

One correlate of that axiom is that Creole languages fall outside the class of structurally "normal"/"genetic" languages with "normal"/"genetic" pedigree as defined by the family-tree model of gradual linguistic change / speciation: languages in the standard family-tree (e.g., French) are assumed to have developed gradually from "normal" full-fledged languages (e.g., Latin), not from structurally reduced Pidgins.

一个跟这个原则相关的就是克里奥尔语言不属於有正常「起源由来」结构「正常」的语言—也就是在语言上由逐渐改变和演化的家谱模型定义中「正统」且「具起源性」的出身：有正常系统的语言是从「正常」成熟的语言逐渐发展而来，而不是从一个结构上简化的洋泾滨语发展而来。

One correlate of that axiom is that Creole languages fall outside the class of structurally "normal"/"genetic" languages with "normal"/"genetic" pedigree as defined by the family-tree model of gradual linguistic change / speciation: languages in the standard family-tree (e.g., French) are assumed to have developed gradually from "normal" full-fledged languages (e.g., Latin), not from structurally reduced Pidgins.

一个跟这个原则相关的就是克里奥尔语言不属于有正常&起源由来&／结构&正常&的语言—也就是在语言上由逐渐改变和演化的家谱模型定义中&正统&且&具起源性&的出身：有正常系统的语言是从&正常&成熟的语言逐渐发展而来，而不是从一个结构上简化的洋泾滨语发展而来。

Should we attempt to eliminate " inferior " people and breed a " super -race "?(Hitler tried this, but without the genetic weaponry that may soon issue from our laboratories.) Should we produce soldiers to do our fighting? Should we use genetic forecasting to pre-eliminate " unfit " babies? Should we grow reserve organs for ourselves, each of us having, as it were, a " savings bank " full of spare kidney, livers, or hands?

我们能试图消除&劣等人&并且繁衍&超强人种&吗(希特勒曾试过，但他缺少很快就能从我们的实验室里研制出的基因武器)我们能生产出替我们作战的士兵吗我们能用基因预报来预先消除即将降生的&不合适&的婴儿吗我们每个人都能生长出备用器官，就像器官储蓄银行一样存满多余的肾，肝和手吗？

Genetic data of 88 tissue samples identified distinct haplotypes from north, central, south and east Taiwan. Gene flow among pangolins from these four areas is limited. Genetic divergence between north and east Taiwan is the highest, whereas that between east and south is the lowest.

分析88件组织样本的遗传资料，结果显示全台湾北、中、南、东四区域均保有其特定的基因型，各区域间基因交流有限，且在分化指数（F statistics， Fst）呈现不同程度上的差异，以北部和东部分化程度最高，东部和南部最低。

The pseudo parallel genetic algorithm is applied to the optimization of PID controller's parameters.It overcomes the premature phenomenon that often appears in the general genetic algorithm in some extent and the convergence speed is improved.

在对PID控制器参数优化中引入了伪并行遗传算法，在一定程度上克服了常规遗传算法容易产生的&早熟&现象，收敛速度也进一步提高。

Key words〕book purchase;genetic neural network;improved genetic algorithm;optimization

关键词〕图书采购；遗传神经网络；改进遗传算法；优化设计

E. interpolation of ellipse center-of-gravity offsetting. The algorithm con process the received information of GPS dynamic orientation as quasi static information (genetic orientation information). Then the current information of the orientation can be calculated by using genetic and received pseudo-distance information.

这种插值算法将某个时段内由GPS接收机收到的动态定位信息进行处理，使这些信息变成准静态定位信息，用这些准静态定位信息和当前接收到的伪距动态定位信息计算出当前的实时定位信息。

An adaptive genetic algorithm in conjunction with multi-population genetic strategy, entropy-based searching technique with narrowing down space and the quasi-exact penalty function was developed to solve the optimization problem. The proposed method culd successfully balance the efficiency against precision, and close the optimal solution quickly and stability.

一个自适应的遗传算法被用于求解上述优化模型，该算法采用多种群遗传策略、信息熵控制的空间减缩搜索技术以及拟精确罚函数方法，较好地平衡了效率与精度之间的关系，从而能够快速而稳定地逼近最优解。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。