一类非线性系统解的有界性和有限环的存在性

首先得到了如下非线性微分系统dx/dt＝p(y),dy/dt=q(y)f(x)-g(x)所有解有界的新的充分条件和充要条件，然后运用这些结果得到了该系统包围多个奇点的极限环存在的充分条件，所得结果改进推广了文[1-3]中的相应,并且指出了文[2-5]中的疏露。     

基于有限差分法的汽轮机转子低周疲劳计算

根据火电机组运行的实际数据,介绍了有限差分法计算汽轮机转子低周疲劳损耗的原理.结合模拟机组冷态启动和停机过程,采用该方法计算了转子上两个特征点的温度变化曲线和应力变化曲线,再根据Miner线性累积法则得到了转子的低周疲劳寿命损耗.通过计算发现,该方法具有计算精度高、计算速度快和实时性强等优点,能够很好地满足工程实际问题的需要.     

停留时间分布与啤酒废水处理效率的关系

通过对鼓泡塔式（BC）和内循环气升式（AL）生物流化床反应器水力停留时间分布的研究,发现用组合模型可以描述这两种生物反应器的停留时间分布。AL反应器的完全混合区比BC比2．15％,由于AL强化了流体流动,因而比BC减少了流体走短路的比例。用AL和BC分别处理啤酒废水时,AL比BC的处理效率高。实验结果表明,增加内循环可以强化气－流传质并改善停留时间分布,从而明显地提高废水处理的效率。     

基于F-B法的多路交叉口信号配时优化设计分析

交叉口是城市道路网的重要组成部分,尤其多路交叉口的交通问题决定着整个路网交通的运行效率。从F-B法在普通交叉口的配时设计中得到启示,将F-B法运用于多路交叉口的信号设计中,并以五岔路口的信号配时优化为实例研究,通过验证充分说明其可行性。     

车用气泵性能的计算机自动测试系统研究

车用气泵为大型车辆提供制动高压气体。当前对气泵的测试是在简易测试台上,由多人操作调节完成性能测试,耗时长,效率低;且受人为因素影响难以保证精度和重复性。采用计算机自动测试系统则可以大大提高检测效率和准确度。采用集成电路器件,设计一种集信号调理、信号放大、AD转换、PID调节电路等一体的测试装置,实现对气泵性能的自动检测,克服人为因素影响、提高检测效率,保证测量精度。取800rpm和1000rpm对气泵参数进行多次测试试验表明：测得气泵运行的各参数波动小于均值的5％,重复性小于0．04,系统检测速度快、准确度高、重复性好。     

Multifunctions of histone H1 proteins

Among various histones, histone H1 proteins have been appreciated for their multiple functions in diverse biological processes. In addition to being a structural protein in chromatin, H1 proteins also play critical roles in cell cycle, gene expression, and development. Recent studies reveal the possible effects of H1 in some diseases, such as cancer and neurodegenerative diseases. Here, we review different variants of HI, the functions, and post translational modifications of ill variants are also discussed.     

海洋温差能发电系统新型热力循环理论分析

 海洋温差能发电系统新型热力循环在Kalina循环基础上增加贫氨溶液回热支路和抽气回热支路以提高热力循环效率。应用能量守恒原理和热平衡方程对新型热力循环--国海循环进行理论研究,计算了不同的透平入口蒸汽压力、氨水混合工质浓度、温海水温度和冷海水温度条件下的循环效率。理论计算结果表明,氨水混合工质浓度对国海循环效率影响显著,冷热源温度确定的条件下存在最优的氨水混合工质浓度使得循环效率最高,当温、冷海水温度分别为26、5℃,氨水工质浓度为92%时,系统效率最大达到4.56%;当氨水混合物浓度不变时,循环效率随透平入口蒸汽压力的升高先升高后降低,存在极大值;冷海水入口温度对循环效率影响很明显,而温海水温度对循环效率影响较小。     

一类捕食-食饵模型的研究

对一类食饵种群具有常数投放率的捕食－食饵系统进行了研究。ｄｘ／ｄｔ＝ｂｘ（ｘ－ｌ１）（ｋ１－ｘ）－βｘｙ＋ｈ１,ｄｙ／ｄｔ＝－ｃｙ＋ａｘｙ得到了该模型极限环的不存在性,存在性及唯一性的条件。     

Identifying US business cycle regimes using dynamic factors and neural network models

We use dynamic factors and neural network models to identify current and past states (instead of future) of the US business cycle. In the first step, we reduce noise in data by using a moving average filter. Dynamic factors are then extracted from a large-scale data set consisted of more than 100 variables. In the last step, these dynamic factors are fed into the neural network model for predicting business cycle regimes. We show that our proposed method follows US business cycle regimes quite accurately in-sample and out-of-sample without taking account of the historical data availability. Our results also indicate that noise reduction is an important step for business cycle prediction. Furthermore, using pseudo real time and vintage data, we show that our neural network model identifies turning points quite accurately and very quickly in real time.     

Biological characterization of the obligate symbiosis between Acropyga sauteri Forel (Hymenoptera: Formicidae) and Eumyrmococcus smithii Silvestri (Hemiptera: Pseudococcidae: Rhizoecinae) on Okinawa Island,southern Japan

The ant Acropyga sauteri Forel has an obligate, mutualistic symbiosis with a mealybug, Eumyrmococcus smithii Silvestri, on Okinawa Island, southern Japan. The mealybugs live inside ant nests nearly all their lives, and the ants depend on them for food. Alate foundress queens carry mealybugs during their nuptial flights, using them to establish new colonies at new sites. However, important aspects of the symbiosis have not yet been elucidated. The present study characterizes the basic biology of the symbiosis and describes for the first time the morphologies of all growth stages of E. smithii. Our study suggests that E. smithii has only one nymphal stage, followed by a female pupal stage or male prepupal stage. Intensive sampling of ant nests across seasons showed that A. sauteri prefers nest sites 5–20 cm underground. Acropyga sauteri produced reproductive stages mainly in mid‐March or early April, and numbers of both ant workers and mealybugs increased from spring to summer. Experimental determination of colony identity with a method using nestmate recognition by ants suggested that each ant colony rarely has a perimeter greater than 30 cm, that the ants are monogynous, and that different ant colonies are densely aggregated along the root system of a plant, adjacent to each other but not interflowing. Both symbiotic partners were vulnerable to attacks by several common subaerial ant species following physical disturbance to their nests.