Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks

Entity and Relation Extraction (ERE) is an important task in information extraction. Recent marker-based pipeline models achieve state-of-the-art performance, but still suffer from the error propagation issue. Also, most of current ERE models do not take into account higher-order interactions between multiple entities and relations, while higher-order modeling could be beneficial.In this work, we propose HyperGraph neural network for ERE (\hgnn{}), which is built upon the PL-marker (a state-of-the-art marker-based pipleline model). To alleviate error propagation,we use a high-recall pruner mechanism to transfer the burden of entity identification and labeling from the NER module to the joint module of our model. For higher-order modeling, we build a hypergraph, where nodes are entities (provided by the span pruner) and relations thereof, and hyperedges encode interactions between two different relations or between a relation and its associated subject and object entities. We then run a hypergraph neural network for higher-order inference by applying message passing over the built hypergraph. Experiments on three widely used benchmarks (\acef{}, \ace{} and \scierc{}) for ERE task show significant improvements over the previous state-of-the-art PL-marker.Comment: Accepted to Proceedings of EMNLP, 202

Histological and Biomechanical Evaluation of the Preserved Degenerative Dermis in Rat Autologous Skin Transplant Models after a Deep Second Degree Burn

To describe the histological and biomechanical changes of the preserved degenerative dermis in rat  autologous skin transplant models after a deep second-degree burn. 50 SD rats were divided into 5 groups  randomly of 10 rats of each: 7-days group, 9-days group, 14-days group, 21-days group, and 60-days group.  Deep second-degree burn wounds were prepared on the back of rats sized 3.5cm×3.5cm. Super tangential  excision was performed on the burn wound to preserve the degenerative dermis. Then, autologous epidermis  was grafted on the wound. After that, the histological changes of the preserved degenerative dermis tissues  and the graft areas were observed by macroscopic, light microscope and electron microscope in the 7, 9, 14,  21, 60 days after the operation. Moreover, the tensile properties of healing deeply burned rat skin were also  tested for each group at the same time points mentioned above. Results: (1) According to the macroscopic  observation, 7 days after the operation, the grafted skin was fused with the area of burn wound; A few hairs  were growing out on the skin at the 14th day; the injured skin recovered to normality by the 60th day. (2)  Hyaline change occurred in the preserved degenerative dermis tissues based on the observation by light  microscope. At the 7th day after operation, the dermis papillae and reticular layer could be discerned; by  the 21st day, the thickness, structures and morphology of grafted skin were similar to the normal tissues. (3)  7 days after operation, ballooning changes were observed by the electron microscope in the mitochondria  and endoplasmic reticulum of damaged cells and the number of the ribosomes was obviously reduced. The  subcellular wound improved continuously and approached normality by the 21st day. (4) 9 days after the  operation, the tensible strength and maximal strain of the grafting rat skin approached 70% and 90% of  natural skin, respectively. (5) 60 days after the operation, the tensile performance of the healing rat skin  recovered to the natural level. Conclusion: The histological and biomechanical changes of the denatured dermis of a deep second  degree burn wound may gradually recover to normality after being covered by autologous skin.

QoS multicast tree construction in IP/DWDM optical internet by bio-inspired algorithms

Copyright @ Elsevier Ltd. All rights reserved.In this paper, two bio-inspired Quality of Service (QoS) multicast algorithms are proposed in IP over dense wavelength division multiplexing (DWDM) optical Internet. Given a QoS multicast request and the delay interval required by the application, both algorithms are able to find a flexible QoS-based cost suboptimal routing tree. They first construct the multicast trees based on ant colony optimization and artificial immune algorithm, respectively. Then a dedicated wavelength assignment algorithm is proposed to assign wavelengths to the trees aiming to minimize the delay of the wavelength conversion. In both algorithms, multicast routing and wavelength assignment are integrated into a single process. Therefore, they can find the multicast trees on which the least wavelength conversion delay is achieved. Load balance is also considered in both algorithms. Simulation results show that these two bio-inspired algorithms can construct high performance QoS routing trees for multicast applications in IP/DWDM optical Internet.This work was supported in part ny the Program for New Century Excellent Talents in University, the Engineering and Physical Sciences Research Council (EPSRC) of UK under Grant EP/E060722/1, the National Natural Science Foundation of China under Grant no. 60673159 and 70671020, the National High-Tech Reasearch and Development Plan of China under Grant no. 2007AA041201, and the Specialized Research Fund for the Doctoral Program of Higher Education under Grant no. 20070145017

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Modern large language models (LLMs) like ChatGPT have shown remarkable performance on general language tasks but still struggle on complex reasoning tasks, which drives the research on cognitive behaviors of LLMs to explore human-like problem-solving strategies. Along this direction, one representative strategy is self-reflection, which asks an LLM to refine the solution with the feedback generated by itself iteratively. However, our study shows that such reflection-style methods suffer from the Degeneration-of-Thought (DoT) problem: once the LLM has established confidence in its solutions, it is unable to generate novel thoughts later through reflection even if its initial stance is incorrect. To address the DoT problem, we propose a Multi-Agent Debate (MAD) framework, in which multiple agents express their arguments in the state of "tit for tat" and a judge manages the debate process to obtain a final solution. Clearly, our MAD framework encourages divergent thinking in LLMs which would be helpful for tasks that require deep levels of contemplation. Experiment results on two challenging datasets, commonsense machine translation and counter-intuitive arithmetic reasoning, demonstrate the effectiveness of our MAD framework. Extensive analyses suggest that the adaptive break of debate and the modest level of "tit for tat" state are required for MAD to obtain good performance. Moreover, we find that LLMs might not be a fair judge if different LLMs are used for agents. Codes: https://github.com/Skytliang/Multi-Agents-DebateComment: Work in progres

Impact of glucagon-like peptide 1 receptor agonist liraglutide and dipeptidyl peptidase-4 inhibitor sitagliptin on bowel cleaning and gastrointestinal symptoms in type 2 diabetes

Objective: Glucagon-like peptide 1 receptor agonists (GLP-1 RAs) and dipeptidyl peptidase-4 inhibitors (DPP-4i) profoundly affect the gastrointestinal motor system, which may increase the incidence of inadequate bowel cleaning and gastrointestinal symptoms. Hence, this observational study mainly aimed to assess the influence of GLP-1 RAs liraglutide and DPP-4i sitagliptin on bowel preparation in type 2 diabetes (T2DM).Method: This observational study consecutively enrolled T2DM scheduled for a colonoscopy. Participants were prospectively separated into the liraglutide group (n = 120), sitagliptin group (n = 120), and control group (n = 120) based on the current hypoglycemic regimen. 3L split-dose polyethylene glycol regimens were used for bowel preparation. Experienced gastrointestinal endoscopists conducted colonoscopies. Lawrance Bowel-Preparation Tolerability Questionnaire and Boston Bowel Preparation Scale (BBPS) were conducted to assess bowel cleaning quality, tolerability, and safety.Results: The incidence of inadequate bowel cleaning was 17.5% in the liraglutide group, 20.5% in the sitagliptin group, and 21.7% in the control group. The difference among the three groups was not statistically significant (p = 0.927). Meanwhile, there were no significant differences in the mean BBPS, cecal intubation time, and polyp-detecting rates among the three groups (all p > 0.0.05). Nausea, vomiting, and bloating scores were increased in the liraglutide group compared with the other two groups (p < 0.05), whereas most were mild or very mild. Subgroup analyses showed that the incidence of inadequate bowel cleaning in T2DM with diabetic peripheral neuropathy (DPN) was increased in the liraglutide group compared with the sitagliptin group (61.3% vs. 32.1%, p = 0.022) and control group (61.3% vs. 32.8%, p = 0.025).Conclusion: GLP-1RA liraglutide or DPP-4i sitagliptin did not significantly increase the incidence of inadequate bowel cleaning and gastrointestinal symptoms during bowel preparation. Liraglutide may increase the incidence of inadequate bowel preparation in patients with DPN. This study reveal that more attention and aggressive bowel preparation regimens should be given to the T2DM with DPN.Clinical Trial Registration: (https://www.chictr.org.cn/index.aspx), identifier (ChiCTR2200056148)

Plasma reforming of tar model compound in a rotating gliding arc reactor: Understanding the effects of CO<inf>2</inf> and H<inf>2</inf>O addition

© 2019 Elsevier Ltd In this study, a rotating gliding arc (RGA) plasma reactor co-driven by a magnetic field and tangential flow has been investigated for the reforming of toluene as a tar surrogate from the gasification of biomass or waste. The effect of steam and CO2 addition on the reaction performance of the plasma tar reforming process has been evaluated in terms of the conversion of toluene, gas production and energy efficiency. The presence of CO2 in the reaction suppresses the conversion of toluene. By contrast, adding an appropriate amount of steam to the reforming process significantly enhances the conversion of toluene, while further increasing steam concentration reduces the conversion of toluene. The maximum toluene conversion of 85.2% is achieved at an optimal steam concentration of 16%. Optical emission spectroscopic (OES) diagnostics have been used to understand the generation of reactive species contributed to the conversion of toluene and reaction intermediates in the plasma reforming process. The possible reaction pathways and mechanisms have been discussed based on the analysis of gases and condensed liquid by-products combined with the emission spectra of the plasma in the presence or absence of steam and CO2

An investigation of the health value and self-care capabilities of the elderly in urban-rural fringe area nursing homes and the related influencing factors

AbstractObjectiveTo investigate the health value and self-care capabilities of the elderly living in urban-rural fringe area nursing homes and the factors that influence these variables.MethodsA cluster sampling method was used to select 280 elderly individuals from seven urban-rural fringe communities in Xianning to complete a survey regarding their health value and self-care capabilities.ResultsThe total health value and self-care capability scores of the elderly were 7.45 ± 1.45 and 100.25 ± 22.56, respectively. Both of these scores significantly differed by age, education level, marital status, and income (P < 0.05, P < 0.01). Self-care capability was correlated with health value (r = 0.521). A multivariate linear regression analysis showed that health value, marital status, and age predicted self-care capability.ConclusionsElderly people living in the urban-rural fringe area with higher health values also had higher self-care capabilities. The self-care capabilities of the elderly can be enhanced by improving their health value using the “knowing-trusting-acting” model