Trivial stuff - 20090216

研究表明,幸福感仅有约15%来自收入等财务因素,而90%源于态度、生活掌控感及人际关系等因素。即使物质条件远超前辈,人们的幸福感并未随之显著提升。基本生活需求得到满足后,额外的财富对增加幸福感作用不大。

 

  Only about 15 percent of happiness comes from income,assets and other financial factors. As much as 90 percent comes from elements such as attitude,life control and relationships.

 

  While most of us are significantly better off financially than our parents and grandparents, happiness levels haven't changed to reflect that.

  Studies show that once the basic needs of shelter and food are met, (衣食住行的基本需求一旦满足)additional wealth adds little to happiness.

 

  A vast array of individuals seriously overate(overeat过去式,原义吃得过多,可译为太看重) the importance of money in making themselves and others happy.

 

  Understand rules completely and change them reasonably.

 

  Remember the best love is to love others unconditionally rather than make demands on them.

  Remember that the man who can shoulder the most risk will gain the deepest love and the supreme (至高无上的,极其重要的)accomplishment.

 

 

Simply to Relax

Christmas is not a time nor a season, but a state of mind.(更是一种心境) To cherish(珍惜 珍视 怀有) peace and goodwill, to be plenteous(许多 充足) in mercy,is to have the real spirit of Christmas.(心怀和平与美好,宽广之仁慈才是圣诞节的真谛)

No matter where you are or what you may be doing, Christmas offers us an opportunity to focus on peace on earth and goodwill to our fellow human beings.

In a world that seems not only to be changing, but even to be dissolving,there are some tens of millions who want Christmas to be the same. We want to hold on to the old customs and traditions, because they strengthen our family ties,binds us to our friends.

(在这个不只是在改变,甚至是在分解的世界上,仍有上千万的人们希望圣诞节还是那个古老的,不变的圣诞节。我们仍然沿袭着古老的文化与传统,因为正是这些古老的文化与传统巩固着我们家庭的纽带,牢系着我们与我们的朋友。)

So we will not "spend" Christmas,not "observe" Christmas. We'll "keep" Christmas-keep it as it is..in all the loveliness of its ancient traditions. May we keep it in our hearts that we may be kept in its hope.

(因此,我们不再是在“欢度”圣诞节,或者是“庆祝”圣诞节。我们会将圣诞节放在心中:把圣诞节的古老的传统美德珍藏在心中。让我们将它珍藏在心中,同样我们也会孕育在它的希望之中。)

【无人机】基于改进粒子群算法的无人机路径规划研究[和遗传算法、粒子群算法进行比较](Matlab代码实现)内容概要:本文围绕基于改进粒子群算法的无人机路径规划展开研究,重点探讨了在复杂环境中利用改进粒子群算法(PSO)实现无人机三维路径规划的方法,并将其与遗传算法(GA)、标准粒子群算法等传统优化算法进行对比分析。研究内容涵盖路径规划的多目标优化、避障策略、航路点约束以及算法收敛性和寻优能力的评估,所有实验均通过Matlab代码实现,提供了完整的仿真验证流程。文章还提到了多种智能优化算法在无人机路径规划中的应用比较,突出了改进PSO在收敛速度和全局寻优方面的优势。; 适合人群:具备一定Matlab编程基础和优化算法知识的研究生、科研人员及从事无人机路径规划、智能优化算法研究的相关技术人员。; 使用场景及目标:①用于无人机在复杂地形或动态环境下的三维路径规划仿真研究;②比较不同智能优化算法(如PSO、GA、蚁群算法、RRT等)在路径规划中的性能差异;③为多目标优化问题提供算法选型和改进思路。; 阅读建议:建议读者结合文中提供的Matlab代码进行实践操作,重点关注算法的参数设置、适应度函数设计及路径约束处理方式,同时可参考文中提到的多种算法对比思路,拓展到其他智能优化算法的研究与改进中。
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