针对网络通信相关专业的学生，本文提出了开设软件定义网络(Software Defined Networking，SDN)大学生课程，旨在提高他们的创新研究和实践动手能力，以支持其未来的职业发展。课程内容不仅包括理论教学，还提供了一套全新的实验教学方案，其中包括基础实验、进阶实验和综合实验，以帮助学生更好地掌握SDN领域的知识和技能。同时，为了激发学生的积极探索、实践和创新精神，在课程中采用了多种考核方法。通过这些方法，学生将被鼓励主动参与并应用所学知识，同时提高在SDN领域的综合素质。我们认为，通过本课程，学生不仅可以提升其理论知识水平，还能够通过实验教学的方式培养解决问题的能力，而这将为他们在SDN领域的职业发展奠定坚实的基础。
针对网络通信相关专业的学生，本文提出了开设软件定义网络(Software Defined Networking，SDN)大学生课程，旨在提高他们的创新研究和实践动手能力，以支持其未来的职业发展。课程内容不仅包括理论教学，还提供了一套全新的实验教学方案，其中包括基础实验、进阶实验和综合实验，以帮助学生更好地掌握SDN领域的知识和技能。同时，为了激发学生的积极探索、实践和创新精神，在课程中采用了多种考核方法。通过这些方法，学生将被鼓励主动参与并应用所学知识，同时提高在SDN领域的综合素质。我们认为，通过本课程，学生不仅可以提升其理论知识水平，还能够通过实验教学的方式培养解决问题的能力，而这将为他们在SDN领域的职业发展奠定坚实的基础。
Understanding the emotions and emotions expressed are two key factors in multimodal emotional analysis. Human language is usually multimodal, including three modes: visual perception, speech, and text, and each mode contains numerous different information. For example, text mode includes basic language symbols, syntax, and language actions, while speech mode includes speech, intonation, and voice expression. Visual modalities include information such as posture features, body language, eye contact, and facial expression. Therefore, how to efficiently integrate inter modal information has become a hot topic in the field of multimodal emotion analysis. Therefore, the article proposes a cross module fusion network model. This model utilizes the LSTM network as the representation sub network for language and visual modalities, while utilizing the cross module fusion of the improved and upgraded Transformer model to effectively fuse the two modal information; In order to verify the effectiveness of the model proposed in the article, careful evaluation was conducted on the IEMOCAP and MOSEI datasets, and the results showed that the accuracy of the model for sentiment classification has been improved.
Consensus protocols (algorithms) are the core key to blockchain technology, fundamentally determining the performance, security, and availability of blockchain networks. This article briefly explains the origins, design concepts, advantages, disadvantages, and some well-known improvement solutions of the two most mainstream public blockchain consensus protocols, PoW (Proof of Work) and PoS (Proof of Stake). Finally, this article takes Ethereum, the most famous public blockchain smart contract platform in the world, as an example to summarize the future development prospects and significant strategic significance of the Ethereum PoS solution.
Pub Date : 2022-04-14eCollection Date: 2022-01-01DOI: 10.1155/2022/4913534
Zichen Cui, Changgong Feng, Jiazheng Chen, Yi Wang, Qi Meng, Shihao Zhao, Yuanji Zhang, Dianjie Feng, Ziqing Li, Shui Sun
Oxidative stress involves enormously in the development of chronic inflammatory bone disease, wherein the overproduction of reactive oxygen species (ROS) negatively impacts the bone remodeling via promoting osteoclastogenesis and inhibiting osteogenesis. Lacking effective therapies highlights the importance of finding novel treatments. Our previous study screened a novel bioactive peptide D7 and demonstrated it could enhance the cell behaviors and protect bone marrow mesenchymal stem cells (BMSCs). Since BMSCs are progenitor cells of osteoblast (OB), we therefore ask whether D7 could also protect against the progress of inflammatory osteolysis. To validate our hypothesis and elucidate the underlying mechanisms, we first performed network pharmacology-based analysis according to the molecule structure of D7, and then followed by pharmacological evaluation on D7 by in vitro lipopolysaccharide(LPS)-induced models. The result from network pharmacology identified 20 candidate targets of D7 for inflammatory osteolysis intervention. The further analysis of Gene Ontology (GO)/KEGG pathway enrichment suggested the therapeutic effect of D7 may primarily affect osteoclast (OC) differentiation and function during the inflammatory osteolysis. Through validating the real effects of D7 on OC and OB as postulated, results demonstrated suppressive effects of D7 on LPS-stimulated OC differentiation and resorption, via the inhibition on OC marker genes. Contrarily, by improving the expression of OB marker genes, D7 displayed promotive effects on OB differentiation and alleviated LPS-induced osteogenic damage. Further mechanism study revealed that D7 could reduce LPS-induced ROS formation and strengthen antioxidants expressions in both OC and OB precursors, ameliorating LPS-triggered redox imbalance in bone remodeling. Taken together, our findings unveiled therapeutic effects of D7 against LPS-induced inflammatory osteolysis through the suppression of oxidative stress and the restoration of the bone remodeling process, providing a new therapeutic candidate for chronic inflammatory bone diseases.
氧化应激在慢性炎症性骨病的发展过程中扮演着重要角色，其中过量产生的活性氧（ROS）通过促进破骨细胞生成和抑制骨生成对骨重塑产生负面影响。缺乏有效的治疗方法凸显了寻找新型疗法的重要性。我们之前的研究筛选出了一种新型生物活性肽 D7，并证明它能增强细胞行为并保护骨髓间充质干细胞（BMSCs）。由于骨髓间充质干细胞是成骨细胞（OB）的祖细胞，因此我们想知道 D7 是否也能防止炎性骨溶解的进展。为了验证我们的假设并阐明其潜在机制，我们首先根据 D7 的分子结构进行了基于网络药理学的分析，然后通过体外脂多糖（LPS）诱导模型对 D7 进行了药理学评估。网络药理学结果确定了20个D7用于炎症性骨溶解干预的候选靶点。进一步的基因本体（GO）/KEGG通路富集分析表明，D7的治疗作用可能主要影响炎性骨溶解过程中破骨细胞（OC）的分化和功能。通过验证 D7 对 OC 和 OB 的真实作用，结果表明 D7 通过抑制 OC 标记基因，对 LPS 刺激的 OC 分化和吸收具有抑制作用。相反，通过改善 OB 标记基因的表达，D7 对 OB 的分化具有促进作用，并减轻了 LPS 诱导的成骨损伤。进一步的机制研究发现，D7 可减少 LPS 诱导的 ROS 形成，并增强 OC 和 OB 前体中抗氧化剂的表达，从而改善 LPS 触发的骨重塑过程中的氧化还原失衡。综上所述，我们的研究结果揭示了D7通过抑制氧化应激和恢复骨重塑过程对LPS诱导的炎症性骨溶解的治疗作用，为慢性炎症性骨病提供了一种新的候选疗法。
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