The Application of Block Chain Technology in Medical Management

With the gradual development of social economy, the social function of medical institutions is becoming more and more important. Strengthening the efficiency and quality of medical management can alleviate the contradiction between doctors and patients and improve the level of medical service. Promoting the sustainable development of medical institutions plays a key role. Under the background of the development of science and technology, the theoretical research and practical application of block chain technology are becoming more and more mature, which can not only store and transmit information effectively, but also strengthen the security of information storage. The effective combination of block chain technology and medical management can create a new operation mode and train of thought for medical management and promote the overall improvement of medical management quality and efficiency. It is very helpful to optimize the social service function in medical field. This paper mainly expounds and probes into the concept characteristics of block chain technology, its concrete application in medical management, application effect control strategy and so on. It aims to further strengthen the depth and breadth of application of block chain technology in medical management, provide strong power support for the improvement of medical management service level and promote the sustainable development of medical and health industry

Evolving Optical Networks for Latency-Sensitive Smart-Grid Communications via Optical Time Slice Switching (OTSS) Technologies

In this paper, we proposed a novel OTSS-assisted optical network architecture for smart-grid communication networks, which has unique requirements for low-latency connections. Illustrative results show that, OTSS can provide extremely better performance in latency and blocking probability than conventional flexi-grid optical networks.Comment: IEEE Photonics Society 1st Place Best Poster Award, on CLEO-PR/OECC/PGC 201

How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning

Our investigation into the Affective Reasoning in Conversation (ARC) task highlights the challenge of causal discrimination. Almost all existing models, including large language models (LLMs), excel at capturing semantic correlations within utterance embeddings but fall short in determining the specific causal relationships. To overcome this limitation, we propose the incorporation of \textit{i.i.d.} noise terms into the conversation process, thereby constructing a structural causal model (SCM). It explores how distinct causal relationships of fitted embeddings can be discerned through independent conditions. To facilitate the implementation of deep learning, we introduce the cogn frameworks to handle unstructured conversation data, and employ an autoencoder architecture to regard the unobservable noise as learnable "implicit causes." Moreover, we curate a synthetic dataset that includes i.i.d. noise. Through comprehensive experiments, we validate the effectiveness and interpretability of our approach. Our code is available in https://github.com/Zodiark-ch/mater-of-our-EMNLP2023-paper.Comment: accepted via EMNLP2023-mai

TYK2 promotes malignant peripheral nerve sheath tumor progression through inhibition of cell death

BACKGROUND: Malignant peripheral nerve sheath tumors (MPNSTs) are aggressive sarcomas that arise most commonly in the setting of the Neurofibromatosis Type 1 (NF1) cancer predisposition syndrome. Despite aggressive multimodality therapy, outcomes are dismal and most patients die within 5 years of diagnosis. Prior genomic studies in our laboratory identified tyrosine kinase 2 (TYK2) as a frequently mutated gene in MPNST. Herein, we explored the function of TYK2 in MPNST pathogenesis. METHODS: Immunohistochemistry was utilized to examine expression of TYK2 in MPNSTs and other sarcomas. To establish a role for TYK2 in MPNST pathogenesis, murine and human TYK2 knockdown and knockout cells were established using shRNA and CRISPR/Cas9 systems, respectively. RESULTS: We have demonstrated that TYK2 was highly expressed in the majority of human MPNSTs examined. Additionally, we demonstrated that knockdown of Tyk2/TYK2 in murine and human MPNST cells significantly increased cell death in vitro. These effects were accompanied by a decrease in the levels of activated Stats and Bcl-2 as well as an increase in the levels of Cleaved Caspase-3. In addition, Tyk2-KD cells demonstrated impaired growth in subcutaneous and metastasis models in vivo. CONCLUSION: Taken together, these data illustrate the importance of TYK2 in MPNST pathogenesis and suggest that the TYK2 pathway may be a potential therapeutic target for these deadly cancers