黄土高原土壤水分与水土保持措施相互作用

土壤水是重要的生态水源和水文要素之一 ,黄土高原位于干旱半干旱地区 ,降水量的年际变化大和季节分配极不均匀 ,土壤水资源对植物生长发育的影响尤为重要。同时 ,土壤水的数量及其分布也受人类活动影响。水土保持措施是黄土高原人类改造下垫面过程之一 ,这种改造会影响土壤水分的静态分布和动态过程。水土保持坡面工程措施能有效地提高土壤含水率。深根系人工林草植被使土壤含水率降低 ,甚至造成利用性土壤干层 ,影响人工植被的永续发展。尽管天然植被也有较高的生产力水平 ,但并未引起土壤水分状况的恶化 ,这是黄土高原植被营造及规划中值得注意和进一步研究的问题

学习不良少年的自我意识情绪研究

Self-conscious emotions (guilt, shame, embarrassment, pride, etc) are social emotions, and involve complex appraisals of how one’s behavior has been evaluated by the self and other people according to some value standards. Self-conscious emotions play an important role in human life by arousing and regulating human action tendencies, feeling and thoughts, which can promote people to work hard in achievement and task fields, maintain good interpersonal relationship according with social morality and expectation. The present study aimed to examine complex self-conscious emotional understanding capabilities in junior middle school students with and without learning disabilities, how the self-conscious emotions generate, and relationship between self-conscious emotions and self-representation in academic and interpersonal fields. Situational experimental methods were used in this research, and the results would give further supports for learning disabilities intervention. The main results of present research are as follows. 1. The study included 4 parts and 6 experiments. The aim of study 1 was to explore whether juveniles with learning disabilities understood complex self-conscious emotions differently from juveniles without learning disabilities. We surveyed the self-conscious emotions understanding of 37 learning disabilities and 45 non-learning disabilities with the emotional situation stories. The results indicated that the self-conscious emotional recognition in others for learning disabilities was lower than that of non-learning disabilities in different emotional recognition tasks. Moreover, children with learning disabilities were more inclined to recognize emotions in themselves as elemental emotions, however, children without learning disabilities were more inclined to recognize emotions in themselves as self-conscious emotions. 2. The aim of study 2 was to explore the generative mechanism of self-conscious emotions in academic and interpersonal fields with the method of situational experiments, namely to examine whether the self-discrepancy could cause self-conscious emotions for learning disabilities. 84 learning disabilities (in experiment 1) and 80 learning disabilities (in experiment 2) participated in the research, and the results were as follows. (1) Self discrepancy caused participants’ self-conscious emotions effectively in academic and interpersonal fields. One’s own and parents’ perspercive on the actual-ideal self-discrepancy both produced dejection-related emotions (shame、embarrassment) and agitation-related emotions (guilt). （2）In academic fields, children with learning disabilities caused higher level negative self-conscious emotions (embarrassment, shame, and guilt) and lower level positive self-conscious emotion (pride). However, there were no differences of self-conscious emotions for children with and without learning disabilities in non-academic fields. 3. The aim of study 3 was to explore what influence had self-conscious emotions on self-representation for learning disabilities with the method of situational experiments. 57 learning disabilities (in experiment 1) and 67 learning disabilities (in experiment 2) participated in the research, and the results were as follows. （1）The negative self-conscious for learning disabilities could influence their positive or negative academic and positive interpersonal self-representation stability, the ways in which self-evaluation of ability mediate these effects. However, there was no significant effect for the negative self-conscious and self-evaluation of ability predicting negative interpersonal self-representation stability. （2）The stability level of positive academic and interpersonal self-representation for learning disabilities was lower than that of non-learning disabilities. There was no significant difference of the negative interpersonal self-representation stability for children with and without learning disabilities in the positive self-conscious valence condition. However, the stability level of negative interpersonal self-representation for learning disabilities was lower than that of non-learning disabilities in the negative self-conscious valence condition. 4. The aim of study 4 was to explore the intervention effects for self-conscious emotions training course on emotional comprehension cability. 65 learning disabilities (34 in experimental group, and 31 in control group) participated in the research. The results showed that self-conscious emotions course boosted the self-conscious emotions apprehensive level for children with learning disabilities.

Novel approach for region merging and image segmentation for human-computer interaction

For the purpose of human-computer interaction (HCI), a vision-based gesture segmentation approach is proposed. The technique essentially includes skin color detection and gesture segmentation. The skin color detection employs a skin-color artificial neural network (ANN). To merge and segment the region of interest, we propose a novel mountain algorithm. The details of the approach and experiment results are provided. The experimental segmentation accuracy is 96.25%. (C) 2003 Society of Photo-Optical Instrumentation Engineers.

Spatiotemporal segmentation based on two-dimensional spatiotemporal entropic thresholding

A novel spatiotemporal segmentation technique is further developed for extracting uncovered background and moving objects from the image sequences, then the following motion estimation is performed only on the regions corresponding to moving objects. The frame difference contrast (FCON) and local variance contrast (LCON), which are related to the temporal and spatial homogeneity of the image sequence, are selected to form the 2-D spatiotemporal entropy. Then the spatial segmentation threshold is determined by maximizing the 2-D spatiotemporal entropy, and the temporal segmentation point is selected to minimize the complexity measure for image sequence coding. Since both temporal and spatial correlation of an image sequence are exploited, this proposed spatiotemporal segmentation technique can further be used to determine the positions of reference frames adaptively, hence resulting in a low bit rate. Experimental results show that this segmentation-based coding scheme is more efficient than usual fixed-size coding algorithms. (C) 1997 Society of Photo-Optical Instrumentation Engineers.

An inhibitor of c-Jun N-terminal kinases (CEP-11004) counteracts the anti-HIV-1 action of trichosanthin

Trichosanthin (TCS) is a type I ribosome-inactivating protein possessing multiple biological and pharmacological activities. One of its major actions is inhibition of human immunodeficiency virus (HIV) replication. The mechanism is still not clear. It is

Interaction between human interleukin-16 and CD4 receptor of HIV-1

AIM: To study the interaction between human interleukin-16 (IL-16) and the receptor CD4 (T-lymphocyte differentiation antigen) of human immunodeficiency virus type 1 (HIV-1). METHODS: Two structurally con served regions (SCRs) of human IL-16 were built by the SYBYL/Biopolymer module using the corresponding transmembrane (TM) domain of human interleukin-1 (HIL-4) and HIL-2 as the templates. The coordinates for amino-terminal residue sequence, carboxyl-terminal residue sequences, and cytoplasm loops were generated using Biopolymer's LOOP SEARCH algorithm. RESULTS: HIL-16 first formed a homodimer, then contacted with CD4 dimer further forming a dimeric complex. Subsequently, the dimeric complex constructed the tetrameric complex by two disulfide bridges between the cysteines of HIL-16 (Cys31-Cys31). CONCLUSION: The interaction model is useful to propose the action mechanism of HIL-16 and is beneficial for rational designing of novel anti-HIV drugs.

DE-71-induced apoptosis involving intracellular calcium and the Bax-mitochondria-caspase protease pathway in human neuroblastoma cells In vitro

Polybrominated diphenyl ethers (PBDEs) are used extensively as flame-retardants and are ubiquitous in the environment and in wildlife and human tissue. Recent studies have shown that PBDEs induce neurotoxic effects in vivo and apoptosis in vitro. However, the signaling mechanisms responsible for these events are still unclear. In this study, we investigated the action of a commercial mixture of PBDEs (pentabrominated diphenyl ether, DE-71) on a human neuroblastoma cell line, SK-N-SH. A cell viability test showed a dose-dependent increase in lactate dehydrogenase leakage and 3-(4,5-dimethylthia-zol-2-yl)-2,5-diphenyl-tetrazolium bromide reduction. Cell apoptosis was observed through morphological examination, and DNA degradation in the cell cycle and cell apoptosis were demonstrated using flow cytometry and DNA laddering. The formation of reactive oxygen species was not observed, but DE-71 was found to significantly induce caspase-3, -8, and -9 activity, which suggests that apoptosis is not induced by oxidative stress but via a caspase-dependent pathway. We further investigated the intracellular calcium ([Ca2+](i)) levels using flow cytometry and observed an increase in the intracellular Ca2+ concentration with a time-dependent trend. We also found that the N-methyl d-aspartate (NMDA) receptor antagonist MK801 (3 mu M) significantly reduced DE-71-induced cell apoptosis. The results of a Western blotting test demonstrated that DE-71 treatment increases the level of Bax translocation to the mitochondria in a dose-dependent fashion and stimulates the release of cytochrome c (Cyt c) from the mitochondria into the cytoplasm. Overall, our results indicate that DE-71 induces the apoptosis of ([Ca2+](i)) in SK-N-SH cells via Bax insertion, Cyt c release in the mitochondria, and the caspase activation pathway.

Research of Face Location System Based on Human Vision Simulations

In this paper we present a robust face location system based on human vision simulations to automatically locate faces in color static images. Our method is divided into four stages. In the first stage we use a gauss low-pass filter to remove the fine information of images, which is useless in the initial stage of human vision. During the second and the third stages, our technique approximately detects the image regions, which may contain faces. During the fourth stage, the existence of faces in the selected regions is verified. Having combined the advantages of Bottom-Up Feature Based Methods and Appearance-Based Methods, our algorithm performs well in various images, including those with highly complex backgrounds.

A Relay Level Set Method for Automatic Image Segmentation

This paper presents a new image segmentation method that applies an edge-based level set method in a relay fashion. The proposed method segments an image in a series of nested subregions that are automatically created by shrinking the stabilized curves in their previous subregions. The final result is obtained by combining all boundaries detected in these subregions. The proposed method has the following three advantages: 1) It can be automatically executed without human-computer interactions; 2) it applies the edge-based level set method with relay fashion to detect all boundaries; and 3) it automatically obtains a full segmentation without specifying the number of relays in advance. The comparison experiments illustrate that the proposed method performs better than the representative level set methods, and it can obtain similar or better results compared with other popular segmentation algorithms.