祁连山典型林区生态服务功能间接价值估算

采用常规和替代市场评估技术,对祁连山北坡东段哈溪林区有机质生产、水源涵养、水土保持、固定CO2和净化空气5种生态系统服务功能间接价值进行了估算,并对3种不同植被类型的生态服务功能价值进行了比较。结果表明,哈溪林区5种服务功能总价值为52061.00万元,其中森林、灌丛和草地分别为19510.34万元、25200.01万元和7350.65万元。按有林地面积推算,祁连山森林生态系统提供的服务功能间接经济价值是天祝县国民生产总值的3～5倍,森林生态系统所提供的生态服务功能价值远远超过了当地社会创造的经济价值。就水源涵养和水土保持服务功能而言,灌丛提供的总价值最大。     

单鼻孔-蝶窦入路垂体瘤切除术的体会

目的：探讨经单鼻孔-蝶窦入路垂体瘤切除手术的效果。方法：应用单鼻孔-蝶窦入路切除22例垂体瘤患者。结果：22例患者手术均顺利进行并于术后3月均获随访,全切除14例,次全切除5例,部分切除3例。结论：经单鼻孔-蝶窦入路显微切除垂体瘤属于微侵袭及功能保护性手术,符合现代神经外科的发展方向,严格把握适应症及禁忌症,完善手术技巧是提高手术效果的关键。     

胸腰段骨折外科治疗的研究进展

胸腰椎骨折是骨科临床工作中常见的损伤。胸腰段骨折往往伴发不同程度的脊髓损伤,很大程度上影响患者的生活质量。准确把握其分型,并制定恰当、及时、有效的治疗方案,对伤员进行救治,恢复椎体的高度、序列与曲度,解除神经压迫,重建脊柱稳定性,减少近远期并发症,改善预后有着深远的意义。本文通过对胸腰段骨折的分类、手术入路、手术方式、不同类型骨折的治疗等四个方面的国内外近期研究成果作一综述。     

单鼻孔- 蝶窦入路垂体瘤切除术的体会

目的:探讨经单鼻孔-蝶窦入路垂体瘤切除手术的效果。方法:应用单鼻孔-蝶窦入路切除22例垂体瘤患者。结果:22例患者手术均顺利进行并于术后3月均获随访,全切除14例,次全切除5例,部分切除3例。结论:经单鼻孔-蝶窦入路显微切除垂体瘤属于微侵袭及功能保护性手术,符合现代神经外科的发展方向,严格把握适应症及禁忌症,完善手术技巧是提高手术效果的关键。     

WHO health risk assessment process for static fields

The World Health Organization (WHO) has a commitment to helping Member States achieve safe, sustainable and health-enhancing human environments, protected from biological, chemical and physical agents. The latter includes advising on the health impact of electromagnetic fields (EMFs) and radiation.

The results of the WHO/ICNIRP/NRPB workshop on static magnetic fields, published in this volume, provide a valuable and much needed contribution to the health risk assessment of exposure to static electric and magnetic fields, which is currently being coordinated by the WHO's International EMF Project. This WHO health risk assessment will be published as an environmental health criteria (EHC) monograph in early 2005.

This paper briefly gives an overview of the process of developing the WHO static fields EHC monograph, the criteria applied to studies that could contribute to the EHC, along with the ‘weight-of-evidence’ approach to health risk assessment. In addition, there is an increasing awareness of the need to account for uncertainty in the science database. This is traditionally addressed by further research, and the EMF project addresses these needs through the development of a ‘research agenda’. However, research programmes may take several years to complete, and the long latency associated with diseases such as cancer in people may also preclude a rapid outcome in some studies. The issue of current uncertainty is being addressed by the WHO EMF project through the development of a ‘precautionary framework’ in which precautionary measures will be applied to policy recommendations.     

恢复及演替过程中的土壤生态学考虑

 人类社会的日益扩张,导致人类加速占据地球表面景观,并胁迫地球上生态系统提供不断增长的资源需求和废物吸收能力。所以保护尚未“开放”的自然生态系统及恢复退化的生态系统成为人类长期生存的重要保证。该文着重讨论了恢复过程中的土壤生态学问题。土壤是所有陆地生态系统的结构与功能基础。土壤微生物与动物的种群变化,土壤有机质的积累,及主要元素地球化学循环的改变是恢复生态的重要环节。生态恢复与演替有许多共性,所以演替理论对于认识生态系统恢复中的结构与功能变化有着很大帮助。与自然演替不同的是,人的积极参与在生态恢复中占有中心位置。从最初样地的确立与物种的选择,到后续的灌溉与施肥管理,人的选择影响着土壤的演化,生态系统的发展方向,和最终恢复生态的结果。为保障恢复生态系统的可持续性,短期的工作目标,如提供养分促进植物生长,务必与长期的工作目标,如土壤的恢复相结合。植物与土壤的相互反馈是生态恢复成功的重要标志。成功的生态恢复不仅是对现有生态学理论的“试金检验”,也是推动生态学学科发展的重要原动力。     

<Emphasis Type="Italic">Kuth</Emphasis> (<Emphasis Type="Italic">Saussurea lappa</Emphasis>) cultivation in the cold desert environment of the Lahaul valley,northwestern Himalaya,India: arising threats and need to revive socio-economic values

Surveys were conducted in the cold desert environment of the Lahaul valley in the northwestern Himalaya for assessing the past and present status of Kuth (Saussurea lappa) cultivation. The findings reveal that this age-old practice now is in bottleneck. Main factors responsible for this setback to the species were the lengthy cultivation cycle, small land holdings, and even fluctuating and relatively low market prices. Owing to these constraints farmers have now started replacing cultivation of this threatened herb with pea (Pisum sativum L.), potato (Solanum tuberosum L.) and hop (Humulus lupulus L.). These crops obtained popularity due to comparatively more economic returns as well as their easy adaptability to the short growth season of the cold desert environment. Kuth cultivation in this region is among the interesting examples of domesticating wild medicinal herb by some innovative farmers during the 1920s. However, in the recent past farmers have been less interested to continue this practice due to its larger cultivation cycle, more profits with cash crops like pea and potato, and permit formalities at the time of export from the valley. In addition to being the oldest cash crop in the cold desert environment, Kuth is an endangered medicinal herb that has to be conserved on a priority basis. This study attempts to find out potential measures such as regular revision of market rates, development of existing uncultivable land under medicinal plant cultivation and strengthening the marketing network through establishment of federations of farmers at village level to revive cultivation of this important species.     

A structural alphabet for local protein structures: improved prediction methods

Three-dimensional protein structures can be described with a library of 3D fragments that define a structural alphabet. We have previously proposed such an alphabet, composed of 16 patterns of five consecutive amino acids, called Protein Blocks (PBs). These PBs have been used to describe protein backbones and to predict local structures from protein sequences. The Q16 prediction rate reaches 40.7% with an optimization procedure. This article examines two aspects of PBs. First, we determine the effect of the enlargement of databanks on their definition. The results show that the geometrical features of the different PBs are preserved (local RMSD value equal to 0.41 A on average) and sequence-structure specificities reinforced when databanks are enlarged. Second, we improve the methods for optimizing PB predictions from sequences, revisiting the optimization procedure and exploring different local prediction strategies. Use of a statistical optimization procedure for the sequence-local structure relation improves prediction accuracy by 8% (Q16 = 48.7%). Better recognition of repetitive structures occurs without losing the prediction efficiency of the other local folds. Adding secondary structure prediction improved the accuracy of Q16 by only 1%. An entropy index (Neq), strongly related to the RMSD value of the difference between predicted PBs and true local structures, is proposed to estimate prediction quality. The Neq is linearly correlated with the Q16 prediction rate distributions, computed for a large set of proteins. An "expected" prediction rate QE16 is deduced with a mean error of 5%.     

A pharmacophore-based evolutionary approach for screening selective estrogen receptor modulators

We developed a pharmacophore-based evolutionary approach for virtual screening. This tool, termed the Generic Evolutionary Method for molecular DOCKing (GEMDOCK), combines an evolutionary approach with a new pharmacophore-based scoring function. The former integrates discrete and continuous global search strategies with local search strategies to expedite convergence. The latter, integrating an empirical-based energy function and pharmacological preferences (binding-site pharmacological interactions and ligand preferences), simultaneously serves as the scoring function for both molecular docking and postdocking analyses to improve screening accuracy. We apply pharmacological interaction preferences to select the ligands that form pharmacological interactions with target proteins, and use the ligand preferences to eliminate the ligands that violate the electrostatic or hydrophilic constraints. We assessed the accuracy of our approach using human estrogen receptor (ER) and a ligand database from the comparative studies of Bissantz et al. (J Med Chem 2000;43:4759-4767). Using GEMDOCK, the average goodness-of-hit (GH) score was 0.83 and the average false-positive rate was 0.13% for ER antagonists, and the average GH score was 0.48 and the average false-positive rate was 0.75% for ER agonists. The performance of GEMDOCK was superior to competing methods such as GOLD and DOCK. We found that our pharmacophore-based scoring function indeed was able to reduce the number of false positives; moreover, the resulting pharmacological interactions at the binding site, as well as ligand preferences, were important to the screening accuracy of our experiments. These results suggest that GEMDOCK constitutes a robust tool for virtual database screening.     

Using string kernel to predict signal peptide cleavage site based on subsite coupling model

Summary. Owing to the importance of signal peptides for studying the molecular mechanisms of genetic diseases, reprogramming cells for gene therapy, and finding new drugs for healing a specific defect, it is in great demand to develop a fast and accurate method to identify the signal peptides. Introduction of the so-called {−3,−1, +1} coupling model (Chou, K. C.: Protein Engineering, 2001, 14–2, 75–79) has made it possible to take into account the coupling effect among some key subsites and hence can significantly enhance the prediction quality of peptide cleavage site. Based on the subsite coupling model, a kind of string kernels for protein sequence is introduced. Integrating the biologically relevant prior knowledge, the constructed string kernels can thus be used by any kernel-based method. A Support vector machines (SVM) is thus built to predict the cleavage site of signal peptides from the protein sequences. The current approach is compared with the classical weight matrix method. At small false positive ratios, our method outperforms the classical weight matrix method, indicating the current approach may at least serve as a powerful complemental tool to other existing methods for predicting the signal peptide cleavage site. The software that generated the results reported in this paper is available upon requirement, and will appear at http://www.pami.sjtu.edu.cn/wm. An erratum to this article is available at .