OPIOIDS MODULATE NMDA－EVOKED RESPONSES OF NEURONS IN THE SUPERFICIAL AND THE DEEPER DORSAL HORN OF THE MEDULLA

ＯＰＩＯＩＤＳＭＯＤＵＬＡＴＥＮＭＤＡ－ＥＶＯＫＥＤＲＥＳＰＯＮＳＥＳＯＦＮＥＵＲＯＮＳＩＮＴＨＥＳＵＰＥＲＦＩＣＩＡＬＡＮＤＴＨＥＤＥＥＰＥＲＤＯＲＳＡＬＨＯＲＮＯＦＴＨＥＭＥＤＵＬＬＡＫ．Ｍ．Ｚｈａｎｇ；ＷａｎｇＸｉａｏｍｉｎ；Ａ．Ｍ．Ｐｅｔｅｒ...     

缓和曲线对交通安全的影响分析

对比分析文献表明,不合理的缓和曲线长度会影响驾驶行为和交通安全。调查分析了上三高速公路的39个弯道和2001年—2004年事故资料、沪杭高速公路浙江段的5个弯道和1999年—2004年事故资料、杭宁高速公路浙江段的6个弯道和2001年—2004年事故资料,其中缓和曲线交通事故并没有出现异常现象,表明其缓和曲线长度设计是合理的、可行的,没有对交通安全造成明显影响。在所调查的半径范围[400 m,3819.516 m],缓和曲线参数A与圆曲线半径R之比(A/R)随半径增大而呈现较好的负次幂递减规律,而且其变化范围基本上在1/3~1/2,这与传统认识及最近文献调查相一致。这一基本规律可为设计提供更明确的量化参考依据。     

土地开发利用和社会经济发展对家庭汽车拥有量的影响——沙特阿拉伯利雅得市和澳大利亚墨尔本市的比较(英文)

汽车保有量取决于城市的土地开发模式。在一定时期内,一个地区的就业、住房、休闲、教育和购物条件以及家庭成员的年龄、性别、收入和家庭规模都会影响到人们对出行目的地和出行方式的选择,而家庭住房位置的影响则是长期的。应用沙特阿拉伯利雅得和澳大利亚墨尔本两座城市数据,分析了城市总体用地水平和人均水平、家庭人口及其距离工作地点的路程等对家庭汽车拥有量的影响,建立了家庭汽车拥有量多项式逻辑模型。模型表明,城市扩张是影响家庭汽车拥有量的主要因素,利雅得市家庭汽车拥有量在2辆以上,而墨尔本市不少于1辆。     

抑癌基因p16、Rb的表达与胆囊癌预后的关系

目的　研究抑癌基因 p1 6及Rb的表达与胆囊癌预后的关系。方法　用SP免疫组化法同步检测 41例胆囊癌患者抑癌基因 p1 6及Rb的蛋白表达。 结果　p1 6与Rb蛋白表达阳性组生存率明显优于阴性组。结论　p1 6及Rb在胆囊癌的预后判定中具有重要价值 ,同步检测两者的预后价值优于单一检测。     

氧传感器在电控发动机中的工作特性研究

有关氧传感器正常工作和信号缺失对电控发动机的动力性、经济性和排放性能以及三元催化转换器转化效果等指标的影响的实验研究表明,氧传感器是否正常工作对三元催化器的转化效果影响较大.     

重庆市快速路四横线功能分析及改善方案研究

城市快速路交通改善是解决城市发展中交通问题的有效方法。以重庆市主城区快速路四横线为例,运用综合交通规划现状模型和RFID(Radio Frequency Identification Devices)技术,对道路交通流构成进行详细分析。运用区域交通组织方法,综合考虑道路实际承担功能、交通需求、用地条件等因素,提出城市中心区快速路交通改善思路与原则,并制定详细改善方案。仿真表明,改善后的全程行车时间由30 min缩短至23 min,平均车速提高30%以上。     

MODULATION OF A δ－AND C－FIBER EVOKED RESPONSES OF NOCICEPTIVE NEURONS IN THE SUPERFICIAL AND THE DEEPER DORSAL HORN OF THE ME

ＭＯＤＵＬＡＴＩＯＮＯＦＡδ－ＡＮＤＣ－ＦＩＢＥＲＥＶＯＫＥＤＲＥＳＰＯＮＳＥＳＯＦＮＯＣＩＣＥＰＴＩＶＥＮＥＵＲＯＮＳＩＮＴＨＥＳＵＰＥＲＦＩＣＩＡＬＡＮＤＴＨＥＤＥＥＰＥＲＤＯＲＳＡＬＨＯＲＮＯＦＴＨＥ　ＭＥＤＵＬＬＡ：ＲＯＬＥＯＦＯＰＩＯＩＤＲ...     

煤的气化——清洁选择 煤合成气——天然气的竞争者，清洁、廉价的电厂燃料

作为燃料有几个优势，其中包括储量充足和价格低廉。但是没有“清洁煤”这种说法。除了煤烟、有毒化学品，以及金属外，燃煤电厂每千瓦小时放出的二氧化碳也比燃烧石油或天然气的电厂要多。煤在空气中燃烧时不可避免地产生二氧化碳。因此煤是一种问题燃料，不仅在于它引发气候变化，而且影响到人类健康和安全问题。     

Forecasting the Suez Canal traffic: a neural network analysis

Although the Suez Canal is the most important man-made waterway in the world, rivaled perhaps only by the Panama Canal, little research has been done into forecasting its traffic flows. This paper uses both univariate ARIMA (Autoregressive Integrated Moving Average) and Neural network models to forecast the maritime traffic flows in the Suez Canal which are expressed in tons. One of the important strengths of the ARIMA modelling approach is the ability to go beyond the basic univariate model by considering interventions, calendar variations, outliers, or other real aspects of typically observed time series. On the other hand, neural nets have received a great deal of attention over the past few years. They are being used in the areas of prediction and classification, areas where regression models and other related statistical techniques have traditionally been used. The models obtained in this paper provide useful insight into the behaviour of maritime traffic flows since the reopening of the Canal in 1975—following an 8-year closure during the Arab-Israeli wars (1967-1973)—till 1998. The paper also compares the performance of ARIMA models with that of neural networks on an example of a large monthly dataset.     

Succession of the ecosystems of the Aral Sea during its transition from oligohaline to polyhaline water body

During 22 field trips from 1990 to 2002 (mainly the western basin of the Large Aral) data on salinity, phytoplankton, zooplankton, zoobenthos and fish fauna have been collected. In 2002, the salinity of the western basin reached 75 ppt, while that in the eastern basin, 150 ppt. In 1999–2002, 159 species of planktonic algae have been recorded. This is approximately twice as low as recorded before. The diversity of Cyanophyta, Pyrrhophyta and Chlorophyta in particular has dropped in the past few years. As before, currently Bacillariophyta is the most diverse plankton. However, the composition of dominants has changed. Once previously dominant species, Actinocyclus ehrenbergii, vanished from the plankton of the Aral Sea and was replaced by such diatoms as Amphora coffeaformis, A. coffeaformis var. acutiuscula and Synedra tabulata var. parva.Since 1970s, a gradual decrease in the diversity of zooplankton has been taking place. Since 1997, the formerly dominant Calanipeda aquaedulcis vanished, which apparently was the reason for the emergence of Moina salina and Artemia parthenogenetica. Since 2000, artemia has been dominant in the plankton of the Aral Sea, constituting 99% of the zooplankton biomass.In the 1970–1980s, a rapid decrease in the biodiversity of the zoobenthos was observed. In the 1990s, most aboriginal and introduced species became extinct. Currently, the bivalve mollusk Syndosmya segmentum, the ostracod Cyprideis torosa and larvae of the dipteran Chironomus salinarius can still be recorded in the western basin. In the eastern basin no benthos is observed.By 1998, in the Large Aral, only five fish species survived: baltic herring Clupea harengus membras, flounder Platichthys flesus luscus, atherine Atherina boyeri caspia and bullheads Neogobius fluviatilis and Potamoschistus caucasicus. Since 2002, only flounder and atherina have been recorded in the western basin of the Large Aral. No fish have been recorded in the eastern part of the Aral Sea in 2002.With increasing salinity and transition of the Aral Sea from an oligohaline to a polyhaline water body, its biota is becoming drastically poorer. Almost all local species became extinct in the Aral; however, some still survive (including some endemics) in some lakes around the Aral Sea. In the near future, artemia will be the only animal in the Aral Sea.