从形式语义学的角度看汉语时态算子对正极项的允准

极性敏感现象是语言的一种共性。本文通过对汉语中的时态副词的研究,证明了时态副词也是一种正极项,并验证了Ginnakidou所提出的真实性算子对极性敏感项的允准的假说同样适用于解释汉语中的正极项的分布。     

Preparation and characterization of dendrimer-star PNIPAAM using dithiobenzoate-terminated PPI dendrimer via RAFT polymerization

Two dendritic reversible addition-fragmentation transfer (RAFT) agents with 8 and 16 terminal dithiobenzoate (DTB) groups on the surface of poly(propylene imine) (PPI) dendrimers (generation 2.0 and 3.0, respectively) were successively prepared, and they were used in the RAFT polymerization of N-isopropylacrylamide (NIPAAM). The polymerization kinetics was confirmed to pseudo-first-order behavior. The ¹H NMR and GPC analyses show that the dendrimer-star den (NIPAAM)_x (x = 8 or 16) prepared by RAFT method has well-defined structure, controlled molecular weight and low polydispersities (PDI < 1.3). The aqueous solution prepared from dendrimer-star PNIPAAM showed reversible changes in optical properties: transparent below a lower critical solution temperature (LCST) and opaque above the LCST.     

MOEPGA: A novel method to detect protein complexes in yeast protein–protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm

The identification of protein complexes in protein–protein interaction (PPI) networks has greatly advanced our understanding of biological organisms. Existing computational methods to detect protein complexes are usually based on specific network topological properties of PPI networks. However, due to the inherent complexity of the network structures, the identification of protein complexes may not be fully addressed by using single network topological property. In this study, we propose a novel MultiObjective Evolutionary Programming Genetic Algorithm (MOEPGA) which integrates multiple network topological features to detect biologically meaningful protein complexes. Our approach first systematically analyzes the multiobjective problem in terms of identifying protein complexes from PPI networks, and then constructs the objective function of the iterative algorithm based on three common topological properties of protein complexes from the benchmark dataset, finally we describe our algorithm, which mainly consists of three steps, population initialization, subgraph mutation and subgraph selection operation. To show the utility of our method, we compared MOEPGA with several state-of-the-art algorithms on two yeast PPI datasets. The experiment results demonstrate that the proposed method can not only find more protein complexes but also achieve higher accuracy in terms of fscore. Moreover, our approach can cover a certain number of proteins in the input PPI network in terms of the normalized clustering score. Taken together, our method can serve as a powerful framework to detect protein complexes in yeast PPI networks, thereby facilitating the identification of the underlying biological functions.     

PPI协议在PLC网络系统设计中的应用

介绍基于PPI协议通过网络写命令实现PLC网络控制系统的方案,说明了它的参数设置以及注意事项,结合实例给出网络配置及连接方法,并在此基础上叙述了软件的编程.设计的系统具有较好的灵活性和良好的可扩展性.     

A Review of Surface Functionalized Amine Terminated Dendrimers for Application in Biological and Molecular Sensing

Dendrimers are three dimensional nanosized synthetic molecules that have internal cavities and numerous surface groups. In recent times they have received increased attention in sensing applications. For dendrimers to be used as sensors, they most commonly require functionalization at their surface. This is because the surface is generally the first point of contact between the dendrimer and the outside world, hence surface functionalization serves to selectively home in on the target analyte. Further, sensor signals may be transmitted through surface functionalities e.g. fluorochromic molecules. It is therefore important to document surface functionalization approaches. Dendrimers with amine surface groups have the advantage of being able to be conjugated to other molecules via an amide linkage, which is one of the most fundamental and widespread chemical bonds in nature. In this paper we demonstrate the properties of dendrimers that make them so applicable to sensing. We review several methods for functionalizing dendrimers via an amide linkage, as well as present a review of surface functionalized polyamidoamine, polyamine, and polypeptide dendrimers that have been employed for biological, chemical and molecular sensing.     

Blockage of Wnt/β‐Catenin Signaling by Nanoparticles Reduces Survival and Proliferation of CLL Cells In Vitro—Preliminary Study

The Wnt/β‐catenin signaling pathway is shown to play a significant role in the control of the survival, proliferation, and differentiation of hematopoietic cells. Studies have confirmed that aberrant activation of canonical Wnt signaling occurs in various forms of leukemia, and is crucial for chronic lymphocytic leukemia (CLL) pathogenesis. The aim of the study is to evaluate the influence of maltotriose (M3) modified fourth generation poly(propylene imine) dendrimers (PPI‐G4) on Wnt/β‐catenin pathway gene expression in CLL (MEC‐1) cells and to compare these findings with those obtained with fludarabine (FA). Microarray data analysis reveals seven of 19 Wnt/β‐catenin pathway genes whose expression changes significantly during dendrimer and FA treatment: WNT10A, WNT6 , and CDH1 among others. PPI‐G4‐M3 is already known to influence MEC‐1 cell apoptosis and proliferation. The obtained results suggest that the reduction in cell survival under the influence of glycodendrimers and FA may be due to loss of Wnt signaling.     

Identification of functional modules in a PPI network by clique percolation clustering

Large-scale experiments and data integration have provided the opportunity to systematically analyze and comprehensively understand the topology of biological networks and biochemical processes in cells. Modular architecture which encompasses groups of genes/proteins involved in elementary biological functional units is a basic form of the organization of interacting proteins. Here we apply a graph clustering algorithm based on clique percolation clustering to detect overlapping network modules of a protein–protein interaction (PPI) network. Our analysis of the yeast Sacchromyces cerevisiae suggests that most of the detected modules correspond to one or more experimentally functional modules and half of these annotated modules match well with experimentally determined protein complexes. Our method of analysis can of course be applied to protein–protein interaction data for any species and even other biological networks.     

Advanced polymeric dendrimers in the management of Alzheimer's disease

In recent years, advanced polymeric dendrimers have emerged as a promising avenue for AD management. Dendrimers are highly branched, three-dimensional macromolecules with precise nanoarchitectures, making them ideal candidates for the delivery of therapeutic agents and diagnostic tools. Their unique properties, such as well-defined size, multifunctionality, and controlled surface chemistry, allow for the design of targeted and highly efficient drug delivery systems and diagnostic probes. This review aims to provide a comprehensive overview of the potential applications of advanced polymeric dendrimers in the management of Alzheimer's disease. We explored their role in drug delivery, diagnostics, and other therapeutic interventions for AD. Additionally, we will delve into the challenges and opportunities in utilizing dendrimers as a key player in the battle against this devastating disease. The review will begin by discussing the current state of Alzheimer's disease, including its pathological features, clinical manifestations, and existing treatment strategies. It will then transition to an in-depth examination of polymeric dendrimers, highlighting their structural characteristics, synthesis methods, and biocompatibility. Subsequently, the review will delve into the various ways in which dendrimers can be tailored for AD management, including drug encapsulation and delivery, enhanced blood–brain barrier penetration, and targeted diagnostic imaging. Furthermore, we explored the potential benefits of dendrimer-based therapies, such as improved drug efficacy, reduced side effects, and enhanced patient compliance. The review will also address the challenges associated with dendrimer-based approaches, including toxicity concerns, regulatory hurdles, and the need for rigorous clinical evaluation.     

Yeast protein-protein interaction network model based on biological experimental data

Duplication and divergence have been widely recognized as the two dominant evolutionary forces in shaping biological networks, e.g., gene regulatory networks and protein-protein interaction (PPI) networks. It has been shown that the network growth models constructed on the principle of duplication and divergence can recapture the topological properties of real PPI networks. However, such network models only consider the evolution processes. How to select the model parameters with the real biological experimental data has not been presented. Therefore, based on the real PPI network statistical data, a yeast PPI network model is constructed. The simulation results indicate that the topological characteristics of the constructed network model are well consistent with those of real PPI networks, especially on sparseness, scale-free, small-world, hierarchical modularity, and disassortativity.     

PLC远程控制通信程序的设计

计算机通过PPI协议与SIEMENS S7-200系列PLC串行通信不需要PLC方编写通信程序,不占用PLC的系统资源,读写PLC数据快速、可靠.基于此通信技术,用C Builder编写的通信串行程序在多个实际项目中得到了应用,效果良好.