一种预测细胞凋亡蛋白的亚细胞定位的新方法

细胞凋亡蛋白对生物体的发育、维持内环境稳定及人们理解细胞凋亡机制非常重要。文中提出了一种新的蛋白质序列特征提取方法—三肽离散源方法。计算了蛋白质序列中紧邻三联体的出现个数,利用离散增量极小化对凋亡蛋白进行定位预测;同时推广了张春霆等提出的内容平衡精度指数,使其能评估任意类的分类问题。实验结果表明:在凋亡蛋白定位预测研究中,三肽离散源方法在提高总体预测精度的同时,能够较好的解决样本不均衡问题;而内容平衡精度指数能比传统的总体预测精度更准确的评估预测算法的预测能力,有效的反映预测算法对样本不均衡问题的相容能力。     

影响人民币均衡汇率调整因素的实证分析

选取1990～2006年的年度数据,采用Edwards的均衡汇率模型,利用ADF检验、协整检验,从实证角度分析影响人民币均衡汇率的调整因素。与其他文章不同的是,将产品市场开放度这个因素考虑进去,得出的结论是产品市场开放度对均衡汇率的影响是显著的:产品市场开放度每提高1个百分点,人民币汇率就升值0.53个百分点。     

污染环境中可再生资源的最优收获问题

探讨了污染环境下双种群的最优收获问题．利用Pontryagin极大值原理得到一种最优分配方案——处理资源种群体内毒素的努力度与收获资源种群的努力度的分配方案,使经营者的经济收入达到最大,同时也得到次最优均衡解。     

黄河流域可持续发展评估及协同发展策略

作为我国重要的生态屏障和经济带,黄河流域生态保护和高质量发展是我国的重大战略需求。目前,黄河流域水资源利用效率较低、水资源配置不甚合理等问题,阻碍了流域整体的可持续发展。以黄河流域上、中、下游9个省份作为研究对象,引入目标间均衡度这一新的评估方法,通过分析上中下游在可持续发展目标达成状况、发展路径、对黄河水资源的依赖程度和工农业用水效率等方面的差异,探讨了基于水资源优化利用的协同发展策略。研究结果表明：(1)2000—2015年间,黄河九省的可持续发展指数都有了显著提高,在不考虑各可持续发展目标间的均衡度时,中下游地区的可持续发展状况显著优于上游地区,考虑均衡度后则未发现显著差异;(2)忽略均衡度对评估结果带来的偏差也体现在省级层面上,如宁夏和山西在不考虑均衡度时都被认为取得了良好的发展,但实际上两者的发展主要体现在少部分目标上,和环境保护相关的部分目标反而出现了退步,这说明不考虑均衡度可能会高估可持续发展目标达成度;(3)黄河流域上中下游均有对黄河水资源较为依赖的省份,这些省份间工农业用水量和用水效率等存在较大差异,总体来看,上游地区用水效率较低,中下游地区用水效率较高;(4)取水量...     

2005-2015年四川省土地利用变化及驱动力分析

以2005、2010、2015年三期四川省土地利用栅格数据为基础,应用ENVI和GIS技术对数据进行预处理,采用土地利用转移矩阵与土地利用动态度模型,并结合四川省土地利用实际情况分析四川省2005-2015年土地利用变化特征,并利用SPSS软件对2005-2015年间统计年鉴上相关的社会经济数据进行因子分析,研究影响四川省土地利用变化的主要驱动力因素并分析其作用机理,为后来的四川省土地利用规划提供参考依据。结果表明：(1)四川省近10年土地利用类型面积变化较为频繁,表现为城乡居民工矿用地大幅度增加,但各类土地占比总量土地面积变化不大。(2)耕地、林地、草地始终为四川省的主要土地利用类型,占比较为均衡且保持性好,耕地处于25%左右,林地和草地始终处于35%左右。而城乡居民工矿用地、水域以及未利用地面积虽有变化但占比始终较小。(3)四川省土地利用存在明显的区域差异,东部土地利用程度高,西部利用程度低。林地和草地大量且长期集中在西部,城乡居民工矿用地则在东部集中,东西分布极不均衡,不利于四川省区域经济均衡发展。(4)影响四川省土地利用变化的主要驱动力因子为常驻人口数和GDP,常驻人口始终保持较大数额且稳步增长,保持劳动力人口数量的同时带来社会经济快速发展的结果,从而促使土地利用结构不断发生变化。     

新疆区域水资源对产业生态系统与经济增长的动态关联——基于VAR模型

新疆正面临"五化同步"对水资源的需求不断增长与水资源开发利用过度的矛盾。水资源瓶颈制约已成为影响新疆经济可持续发展和长治久安的突出问题之一。运用VAR模型,通过ADF检验、脉冲响应函数和方差贡献度分解,对2000—2014年新疆耗水产业生态系统和经济增长的长期均衡关系进行实证分析。结果表明:(1)经济增长与总用水量、工业用水量和农业用水量之间均存在长期均衡关系;(2)经济发展对用水量产生负向冲击,工业用水量和农业用水量随着经济发展出现正向冲击效应。(3)新疆经济快速增长伴随着水资源的大力开发和过度利用。据此提出对策建议,通过实施严格的退地减水政策,明确用水总量控制和定额指标,加强跨流域调水工程建设,防止浪费等多途径维持新疆水资源可持续利用和耗水产业健康发展。     

基于VAR模型的新疆区域水资源对产业生态系统与经济增长的动态关联性研究

新疆正面临“五化同步”对水资源的需求不断增长与水资源开发利用过度的矛盾。水资源瓶颈制约已成为影响新疆经济可持续发展和长治久安的突出问题之一。运用VAR模型,通过ADF检验、脉冲响应函数和方差贡献度分解,对2000—2014年新疆耗水产业生态系统和经济增长的长期均衡关系进行实证分析。研究结果表明:(1)经济增长与总用水量、工业用水量和农业用水量之间均存在长期均衡关系;(2)经济发展对用水量产生负向冲击,工业用水量和农业用水量随着经济发展出现正向冲击效应。(3)新疆经济快速增长伴随着水资源的大力开发和过度利用。据此提出对策建议,通过实施严格的退地减水政策,明确用水总量控制和定额指标,加强跨流域调水工程建设,防止浪费等多途径维持新疆水资源可持续利用和耗水产业健康发展。     

基于产业组织理论视角的医疗服务市场福利拓展

试图从产业组织理论视角分析医疗服务市场上供求关系，挖掘供求均衡对福利产生的影响。首先介绍医疗服务市场特点，其次分析医疗服务市场供求均衡，在此基础上深入探讨患者剩余和医疗机构剩余，分析医疗服务行业总福利的变化，寻求现有的医疗服务制度不变情况下最有效的资源配置状态和条件。     

食用菌产业链下游推移关键节点技术研究进展

随着社会经济的发展和人民生活水平的提高，食用菌作为具有较高营养价值的农产品备受关注。我国作为食用菌生产和消费大国，年产量和总产值迅速提高，但仍存在食用菌产业链发展不均衡问题。在产业链下游推移的过程中，菌种选育技术落后、生产技术标准化程度低、加工技术落后等一些关键节点技术短板，影响着产品品质和附加值，阻碍产业链高效运转。本文通过现场调研、问卷调查及文献查询等方式，通过数据统计分析，明确阻碍食用菌产业链下游推移关键节点，解析关键节点技术问题，提出解决技术短板的方法措施和产业发展建议，为推动食用菌产业高质量发展提供有效支撑。     

生态文明建设重点领域标准化现状、存在的问题及对策建议

标准化是促进科技创新、推动产业发展的重要手段,是减轻环境污染、提高资源利用效率的有效途径,是推动生态文明建设先行示范区形成可借鉴、可复制、可推广样板的有效手段,分析生态文明建设重点领域的标准化现状和存在的问题并提出对策建议能够为生态文明建设的高质量实施提供参考。研究结合联合国17项可持续发展目标以及中央对生态文明建设的总体部署与要求,从国土空间规划、自然资源集约节约利用、生态环境监测、生态环境保护修复、绿色生活、生态产品价值实现、应对气候变化七大重点领域分析了生态文明建设标准化现状与问题。结果发现,截至2020年我国在生态文明建设七大重点领域制定的国家标准超过1000项,95%以上集中在自然资源集约节约利用、生态环境保护修复以及绿色生活领域。深入分析发现生态文明建设标准化工作目前仍存在较大问题,表现在：标准体系方面,尚未形成以生态安全为主体的标准体系,现有标准以政府主导制定为主,且在各领域分布不均衡,部分标准更新较慢,无法满足生态文明建设快速发展的技术要求;标准研制方面,顶层支撑较为薄弱,队伍建设有待加强;标准实施方面,不同领域之间标准实施不均衡,部分领域标准制定者权威性不高,标准实施效果较差。基于上述存在的问题,研究从标准体系优化、标准研制能力建设、标准实施路径创新等方面提出了生态文明建设重点领域标准化工作的对策与建议。     

Productivity improvement in xanthan gum fermentation using multiple substrate optimization

A novel and more comprehensive formulation of the optimal control problem that reflects the operational requirements of a typical industrial fermentation has been proposed in this work. This formulation has been applied to a fed-batch bioreactor with three control variables, i.e., feed rates of carbon source, nitrogen source, and an oxygen source, to result in a 148.7% increase in product formation. Xanthan gum production using Xanthomonas campestris has been used as the model system for this optimization study, and the liquid-phase oxygen supply strategy has been used to supply oxygen to the fermentation. The formulated optimization problem has several constraints associated with it due to the nature of the system. A robust stochastic technique, differential evolution, has been used to solve this challenging optimization problem. The infinite dimensional optimization problem has been approximated to a finite dimensional one by control vector parametrization. The state constraints that are path constraints have been addressed by using penalty functions and by integrating them over the total duration to ensure a feasible solution. End point constraints on final working volume of the reactor and on the final residual concentrations of carbon and nitrogen sources have been included in the problem formulation. Further, the toxicity of the oxygen source, H(2)O(2), has been addressed by imposing a constraint on its maximum usable concentration. In addition, the initial volume of the bioreactor contents and feed concentrations have been handled as decision variables, which has enabled a well-grounded choice for their values from the optimization procedure; adhoc values are normally used in the industry. All results obtained by simulation have been validated experimentally with good agreements between experimental and simulated values.     

Listing all parsimonious reversal sequences: new algorithms and perspectives

In comparative genomics studies, finding a minimum length sequences of reversals, so-called sorting by reversals, has been the topic of a huge literature. Since there are many minimum length sequences, another important topic has been the problem of listing all parsimonious sequences between two genomes, called the All Sorting Sequences by Reversals (ASSR) problem. In this article, we revisit the ASSR problem for uni-chromosomal genomes when no duplications are allowed and when the relative order of the genes is known. We put the current body of work in perspective by illustrating the fundamental framework that is common for all of them, a perspective that allows us for the first time to theoretically compare their running times. The article also proposes an improved framework that empirically speeds up all known algorithms.     

Exact algorithms for planted motif problems.

The problem of identifying meaningful patterns (i.e., motifs) from biological data has been studied extensively due to its paramount importance. Three versions of this problem have been identified in the literature. One of these three problems is the planted (l, d)-motif problem. Several instances of this problem have been posed as a challenge. Numerous algorithms have been proposed in the literature that address this challenge. Many of these algorithms fall under the category of heuristic algorithms. In this paper we present algorithms for the planted (l, d)-motif problem that always find the correct answer(s). Our algorithms are very simple and are based on some ideas that are fundamentally different from the ones employed in the literature. We believe that the techniques we introduce in this paper will find independent applications.     

A novel biclustering approach to association rule mining for predicting HIV-1-human protein interactions

Identification of potential viral-host protein interactions is a vital and useful approach towards development of new drugs targeting those interactions. In recent days, computational tools are being utilized for predicting viral-host interactions. Recently a database containing records of experimentally validated interactions between a set of HIV-1 proteins and a set of human proteins has been published. The problem of predicting new interactions based on this database is usually posed as a classification problem. However, posing the problem as a classification one suffers from the lack of biologically validated negative interactions. Therefore it will be beneficial to use the existing database for predicting new viral-host interactions without the need of negative samples. Motivated by this, in this article, the HIV-1-human protein interaction database has been analyzed using association rule mining. The main objective is to identify a set of association rules both among the HIV-1 proteins and among the human proteins, and use these rules for predicting new interactions. In this regard, a novel association rule mining technique based on biclustering has been proposed for discovering frequent closed itemsets followed by the association rules from the adjacency matrix of the HIV-1-human interaction network. Novel HIV-1-human interactions have been predicted based on the discovered association rules and tested for biological significance. For validation of the predicted new interactions, gene ontology-based and pathway-based studies have been performed. These studies show that the human proteins which are predicted to interact with a particular viral protein share many common biological activities. Moreover, literature survey has been used for validation purpose to identify some predicted interactions that are already validated experimentally but not present in the database. Comparison with other prediction methods is also discussed.     

Punishment and the Strategic Structure of Moral Systems

The problem of moral compliance is the problem of explaining how moral norms are sustained over extented stretches of time despite the existence of selfish evolutionary incentives that favor their violation. There are, broadly speaking, two kinds of solutions that have been offered to the problem of moral compliance, the reciprocity-based account and the punishment-based account. In this paper, I argue that though the reciprocity-based account has been widely endorsed by evolutionary theorists, the account is in fact deeply implausible. I provide three arguments that suggest that moral norms are sustained by punishment, not reciprocity. But in addition to solving the problem of moral compliance, the punishment-based account provides an additional important theoretical dividend. It points the way for how theorists might build an evolutionary account of a feature of human groups that has long fascinated and troubled social scientists and moral philosophers – the existence of moral diversity.     

Fuzzy ART-based place recognition for visual loop closure detection

The automatic place recognition problem is one of the key challenges in SLAM approaches for loop closure detection. Most of the appearance-based solutions to this problem share the idea of image feature extraction, memorization, and matching search. The weakness of these solutions is the storage and computational costs which increase drastically with the environment size. In this regard, the major constraints to overcome are the required visual information storage and the complexity of similarity computation. In this paper, a novel formulation is proposed that allows the computation time reduction while no visual information are stored and matched explicitly. The proposed solution relies on the incremental building of a bio-inspired visual memory using a Fuzzy ART network. This network considers the properties discovered in primate brain. The performance evaluation of the proposed method has been conducted using two datasets representing different large scale outdoor environments. The method has been compared with RatSLAM and FAB-MAP approaches and has demonstrated a decreased time and storage costs with broadly comparable precision recall performance.     

Evolutionary development of tensegrity structures

Contributions from the emerging fields of molecular genetics and evo-devo (evolutionary developmental biology) are greatly benefiting the field of evolutionary computation, initiating a promise of renewal in the traditional methodology. While direct encoding has constituted a dominant paradigm, indirect ways to encode the solutions have been reported, yet little attention has been paid to the benefits of the proposed methods to real problems. In this work, we study the biological properties that emerge by means of using indirect encodings in the context of form-finding problems. A novel indirect encoding model for artificial development has been defined and applied to an engineering structural-design problem, specifically to the discovery of tensegrity structures. This model has been compared with a direct encoding scheme. While the direct encoding performs similarly well to the proposed method, indirect-based results typically outperform the direct-based results in aspects not directly linked to the nature of the problem itself, but to the emergence of properties found in biological organisms, like organicity, generalization capacity, or modularity aspects which are highly valuable in engineering.     

Play and Its Role in the Mental Development of the Child

The problem of communication and its significance for cognition is a perpetual one in psychology. In making the problem of communication an object of study in psychology, investigators have always, to some extent, been aware of the role of dialogue as a cardinal factor in communication. Appreciation of the organizing and system-forming functions of dialogue (external or internal) in any process of communication and cognition has now grown steadily for a number of decades. In recent years, however, the role of dialogue in interconnected processes of communication and cognition has assumed a fundamentally new quality. A number of factors are responsible for this.     

Protein local structure alignment under the discrete Fréchet distance.

Protein structure alignment is a fundamental problem in computational and structural biology. While there has been lots of experimental/heuristic methods and empirical results, very few results are known regarding the algorithmic/complexity aspects of the problem, especially on protein local structure alignment. A well-known measure to characterize the similarity of two polygonal chains is the famous Fréchet distance, and with the application of protein-related research, a related discrete Fréchet distance has been used recently. In this paper, following the recent work of Jiang et al. we investigate the protein local structural alignment problem using bounded discrete Fréchet distance. Given m proteins (or protein backbones, which are 3D polygonal chains), each of length O(n), our main results are summarized as follows: * If the number of proteins, m, is not part of the input, then the problem is NP-complete; moreover, under bounded discrete Fréchet distance it is NP-hard to approximate the maximum size common local structure within a factor of n(1-epsilon). These results hold both when all the proteins are static and when translation/rotation are allowed. * If the number of proteins, m, is a constant, then there is a polynomial time solution for the problem.     

Multiple species effects and spatial autocorrelation in detecting species associations

Abstract. The traditional approach to the analysis of species association within a community, based upon co-occurrence in sampling units such as quadrats, has been to test all pairs of species, using a 2 × 2 contingency table for each pair. It has long been recognised that all these tests are not independent of each other, but there is an additional problem in that the association between any particular pair may depend on the combination of the other species that are present or on the environmental factors that determine that combination. We use a 2^k contingency table to examine this problem and find that pairwise associations are not independent of the other species. The second problem that we consider is the effect of spatial autocorrelation in the data which makes the statistical tests too liberal. In the absence of a derived solution for a deflation factor to correct the test statistic calculated from a 2^k table, we describe a Monte Carlo approach that provides an approximate solution to this problem. In our data the amount of deflation that is necessary for a 2^k table is small compared to the amount required for the 2 × 2 tables used to test pairwise association.