自适应混合演化算法

为避免标准的演化算法演化速度慢，易收敛到局部极值的缺点，融合对梯度的随机模拟，免疫算子，模拟退火算法的思想，提出一种自适应混合演化算法，它在不同的演化阶段自适应的采用不同的演化算子，在演化初期具有较强的全局搜索性能，在演化中后期具有较强的精搜索性能，能迅速收敛于全局最优解；对标准测试函数的仿真结果表明，该算法具有精度高，收敛速度快，稳健性强的优点。     

基于模糊集合论的Agent联盟生成

多Agent系统中联盟的生成是关键问题,主要研究如何在多Agent系统中构造面向任务的最优Agent联盟.对联盟生成问题作了新的描述,讨论了现有联盟生成方法的特点及不足,提出了一种基于模糊集合论的联盟生成方法.基于模糊集合论的隶属度概念,计算Agent对任务的隶属程度,并依据λ-截矩阵理论生成面向任务的Agent联盟,从而使任务由能力最适合的Agent组成的联盟来求解.实例分析说明了此方法的有效性.     

基于XML的多Agent通信体系结构

交互性是多Agent系统研究的重点,而Agent通信语言（ACL）是实现交互与合作的基础。根据目前Agent的应用环境,分析了目前主流通信语言KQML以及与之相关的内容语言的缺点,结合www的主流技术XML,提出了XML语言和KQML的集成方法,并在此基础上设计出一种基于XML语言的Agent通信体系结构,提高了Agent之间的通信效率。     

Therapeutic Perspectives of CD26 Inhibitors in Imune-Mediated Diseases

The enzymatic activity of CD26/DPP4 (dipeptidyl peptidase 4/DPP4) is highlighted in multiple studies to play a vital role in glucose metabolism by cleaving and inactivating the incretins glucagon-like peptide-1 (GLP) and gastric inhibitory protein (GIP). A large number of studies demonstrate that CD26 also plays an integral role in the immune system, particularly in T cell activation. CD26 is extensively expressed in immune cells, such as T cells, B cells, NK cells, dendritic cells, and macrophages. The enzymatic activity of CD26 cleaves and regulates numerous chomokines and cytokines. CD26 inhibitors have been widely used for the treatment of diabetes mellitus, while it is still under investigation as a therapy for immune-mediated diseases. In addition, CD26’s involvement in cancer immunology was also described. The review aims to summarize the therapeutic effects of CD26 inhibitors on immune-mediated diseases, as well as the mechanisms that underpin them.     

Receptor for Advanced Glycation End Products (RAGE): A Pivotal Hub in Immune Diseases

As a critical molecule in the onset and sustainment of inflammatory response, the receptor for advanced glycation end products (RAGE) has a variety of ligands, such as advanced glycation end products (AGEs), S100/calcium granule protein, and high-mobility group protein 1 (HMGB1). Recently, an increasing number studies have shown that RAGE ligand binding can initiate the intracellular signal cascade, affect intracellular signal transduction, stimulate the release of cytokines, and play a vital role in the occurrence and development of immune-related diseases, such as systemic lupus erythematosus, rheumatoid arthritis, and Alzheimer’s disease. In addition, other RAGE signaling pathways can play crucial roles in life activities, such as inflammation, apoptosis, autophagy, and endoplasmic reticulum stress. Therefore, the strategy of targeted intervention in the RAGE signaling pathway may have significant therapeutic potential, attracting increasing attention. In this paper, through the systematic induction and analysis of RAGE-related signaling pathways and their regulatory mechanisms in immune-related diseases, we provide theoretical clues for the follow-up targeted intervention of RAGE-mediated diseases.     

具有免疫应答和吸收效应的病毒感染模型分析

研究了具有免疫应答和吸收效应的病毒动力学模型的动力学行为.通过构造适当的Lyapunov泛函,使用LaSalle不变性原理,证明了基本再生数、CTL免疫再生数、抗体免疫再生数、CTL免疫竞争再生数和抗体免疫竞争再生数决定了模型的全局性态.若基本再生数小于等于1,病毒在体内清除.若基本再生数大于1,正解在满足条件max{...     

光学薄膜自动设计的多目标优化方法

光学薄膜中已使用的优化方法郜是单目标寻优的,通过分析光学薄膜优化设计的原理,将薄膜设计的物理问题归结为混合离散变量的多目标优化设计的数学模型,并认为这是薄膜设计的一般性模型,现行的单目标优化算法只是这个模型的简化.基于这一新思路,并结合多目标优化算法的研究现状,采用了一种基于免疫应答原理的智能型多目标优化算法.该算法隐含并行处理能力,原理上是具备全局搜索能力的自适应随机性算法.将此算法运用到光学薄膜设计中,给出了一些优化的设计实例.结果表明,将多目标优化算法引入薄膜设计的新思路是可行的,将来会有较好的发展前景.     

A Rapidly Dissolvable Microneedle Patch with Tip-Accumulated Antigens for Efficient Transdermal Vaccination

Dissolvable microneedles (DMNs) are an attractive alternative for vaccine delivery due to their user-friendly, skin-targeted, and minimally invasive features. However, vaccine waste and inaccurate dosage remain significant issues faced by DMNs, as the skin's elasticity makes it difficult to insert MNs completely. Here, a simple and reliable fabrication method are introduced based on two-casting micromolding with centrifugal drying to create a rapidly DMN patch made of hyaluronic acid. Ovalbumin (OVA), as the model antigens, is concentrated in the tip parts of the DMNs (60% of the needle height) to prevent antigen waste caused by skin elasticity. The time and temperature of the initial centrifugal drying significantly affect antigen distribution within the needle tips, with lower temperature facilitating antigen accumulation. The resulting DMN patch is able to penetrate the skin with enough mechanical strength and quickly release antigens into the skin tissue within 3 min. The in vivo study demonstrates that immunization of OVA with DMNs outperforms conventional vaccination routes, including subcutaneous and intramuscular injections, in eliciting both humoral and cellular immunity. This biocompatible DMN patch offers a promising and effective strategy for efficient and safe vaccination.     

Blending Low-Frequency Vibrations and Push–Pull Effects Affords Superior Photoacoustic Imaging Agents

Photoacoustic imaging (PAI), a state-of-the-art noninvasive in vivo imaging technique, has been widely used in clinical disease diagnosis. However, the design of high-performance PAI agents with three key characteristics, i.e., near-infrared (NIR) absorption (λ_abs>800 nm), intense PA signals, and excellent photostability, remains a challenging goal. Herein, we present a facile but effective approach for engineering PAI agents by amplifying intramolecular low-frequency vibrations and enhancing the push-pull effect. As a demonstration of this blended approach, we constructed a PAI agent ( BDP1-NEt₂ ) based on the boron-dipyrromethene (BODIPY) scaffold. Compared with indocyanine green (ICG, an FDA-approved organic dye widely utilized in PAI studies; λ_abs=788 nm), BDP1-NEt₂ exhibited a UV/Vis-NIR spectrum peaked at 825 nm, superior in vivo PA signal intensity and outstanding stability to offer improved tumor diagnostics. We believe this work provides a promising strategy to develop the next generation of PAI agents.     

Numerical solution and optimal control for fractional tumor immune model

In this article, the numerical model of fractional tumor immunity has been described. We have proved and analyzed the model does have a stable solution. In addition to this, the optimal control of their form as well as the numerical approach for the simulation of the control problem, are both brought up and examined. We have presented evidence that demonstrates the existence of the solution. We use an algorithm modeled after the generalized Adams-Bashforth-Moulton style (GABMS) to solve the fractional tumor immune model. This amendment is predicated on changing the form to a memristive one for the first time because such a notion is being utilized for the first time to control this ailment. The dissection results have been interpreted using numerical simulations we created. To calculate the results, we relied on the Maple 15 programming language.