Globally conservative solutions for the modified Camassa–Holm (MOCH) equation

In this paper, we present the globally conservative solutions to the Cauchy problem for the modified Camassa–Holm (MOCH) equation. First, we transform the equation into an equivalent semi-linear system under new variables. Second, according to the standard ordinary differential equation theory with the aid of the conservation law, we give the global solutions of the semi-linear system. Finally, returning to the original variables, we obtain the globally conservative solutions to the MOCH equation

Suicide Risk Prediction for Users with Depression in Question Answering Communities: A Design Based on Deep Learning

In the field of public health, suicide risk prediction is a central and urgent problem. Existing researches mainly focus on user’s current post but overlook historical post. In light of the psychological characteristics, we argue that it is valuable to consider users’ historical post in addition to current post for predicting suicide risk. Based on this rationale, we propose a deep learning-based suicide risk prediction framework - Dynamic Historical Information based Suicide Risk Prediction (DHISRP) - by considering the user’s current post content and historical post content. To capture the dynamic and complicated information of historical post, we design a unit based on long short-term memory (LSTM), named RNLSTM. We also conduct experiments to compare with the benchmark model to prove the effectiveness of our model, and perform ablation experiments to verify the significance of each component in the prediction framework in this study

Nutrition Diet of Grazing Sheep and Forage Supply on Natural Grassland

Forages are a major asset of any livestock operation and the foundation of most rations in a forage-based livestock system. The available nutrients in a forage influence individual animal production (e.g. gain per animal), while the amount of forage produced affects production per hectare. The relationship between voluntary food intake and animal productivity is well recognized. Many studies related to the regulation of food consumption by sheep and cattle have been reported (Provenza 1996). Willoughby (1958) dis-cussed a number of factors which might influence the herbage intake of grazing animals. By contrast, less attention has been given to the nutritional supply which influences the intake of herbage by grazing animals. It is necessary to know about animal daily nutrient requirements for production and forage supply in order to evaluate grazing capacity

The Value of Incorporating Review Tags into an Online Review System for User Review Generation

Online review mining has become an important way for businesses to understand consumer preferences and product characteristics. Many online review platforms have started to incorporate the extracted information as review tags to guide future reviews. In this study, we leverage a quasi-experiment from an online health service platform to investigate the value of incorporating the review tags (extracted from prior reviews) into the online review system in user review generation. Our preliminary results show that after the provision of review tags, more reviews are provided for doctors but the length of those reviews is shorter. Notably, we also find a decrease in sentiment and an increase in novel reviews. Our findings provide actionable managerial insights for platform managers to design online review systems

Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics

Deep learning continues to rapidly evolve and is now demonstrating remarkable potential for numerous medical prediction tasks. However, realizing deep learning models that generalize across healthcare organizations is challenging. This is due, in part, to the inherent siloed nature of these organizations and patient privacy requirements. To address this problem, we illustrate how split learning can enable collaborative training of deep learning models across disparate and privately maintained health datasets, while keeping the original records and model parameters private. We introduce a new privacy-preserving distributed learning framework that offers a higher level of privacy compared to conventional federated learning. We use several biomedical imaging and electronic health record (EHR) datasets to show that deep learning models trained via split learning can achieve highly similar performance to their centralized and federated counterparts while greatly improving computational efficiency and reducing privacy risks

Liposomes prolong the therapeutic effect of anti-asthmatic medication via pulmonary delivery

Xiaoyu Chen, Wenhua Huang, Blenda Chi Kwan Wong, Linlin Yin, Yuen Fan Wong, Min Xu, Zhijun YangSchool of Chinese Medicine, Hong Kong Baptist University, Kowloon Tong, Hong KongPurpose: The main objective of this study was to develop a novel aerosolized liposome formulation for pulmonary delivery of anti-asthmatic medication and to explore the relationship between the bioavailability and anti-asthmatic efficacy of such a formulation. Asthma treatment usually requires frequent administration of medication for sustained bronchodilating response. Liposomes are known for their capability for sustained drug release and thus would be a suitable delivery system for anti-asthmatic medication for prolonged therapeutic effect. Salbutamol sulfate (SBS) was chosen as the model drug in this study because of its high water solubility and fast absorption after administration.Methods: SBS was efficiently encapsulated into liposomes by the vesicular phospholipid gel technique. SBS permeability across the pulmonary membrane of an Asian toad was determined by in vitro study. Intratracheal administration of liposomes labeled with the fluorescent dye 1,1'-dioctadecyltetramethyl indotricarbocyanine iodide (DiR) in a rat model was assessed by a small animal imaging system and pharmacokinetic analysis. Pharmacodynamic analysis was performed in guinea pigs using the Konzett–Rössler method.Results: SBS was efficiently encapsulated into liposomes with encapsulation efficiency as high as 70%. The particle size of the SBS liposome suspension was approximately 57 ± 21 nm. In the in vitro study of permeability across the pulmonary membrane of Asian toads, SBS from liposomes demonstrated a slower transport rate compared to free SBS solution. Pulmonary delivery of liposomes in a rat model showed that the liposomes were effectively distributed in the respiratory tract and lungs, and that the release of SBS from liposomes was sustained for at least 48 hours. Pharmacodynamic analysis in a guinea pig model showed that the anti-asthmatic effect of SBS liposomes persisted for up to 18 hours, whereas that of free SBS solution was less than 8 hours.Conclusion: The overall results demonstrated that liposomes could increase the concentration and retention time of SBS in the lungs and therefore prolong its therapeutic effect.Keywords: salbutamol sulfate, asthma, intratracheal administration, sustained releas

Learning From Peers: A Survey of Perception and Utilization of Online Peer Support Among Informal Dementia Caregivers

Informal dementia caregivers are those who care for a person living with dementia (PLWD) without receiving payment (e.g., family members, friends, or other unpaid caregivers). These informal caregivers are subject to substantial mental, physical, and financial burdens. Online communities enable these caregivers to exchange caregiving strategies and communicate experiences with other caregivers whom they generally do not know in real life. Research has demonstrated the benefits of peer support in online communities, but they are limited in focusing merely on caregivers who are already online users. In this paper, we designed and administered a survey to investigate the perception and utilization of online peer support from 140 informal dementia caregivers (with 100 online-community caregivers). Our findings show that the behavior to access any online community is only significantly associated with their belief in the value of online peer support (p = 0.006). Moreover, 33 (83%) of the 40 non-online-community caregivers had a belief score above 24, a score assigned when a neutral option is selected for each belief question. The reasons most articulated for not accessing any online community were no time to do so (14; 10%), and insufficient online information searching skills (9; 6%). Our findings suggest that online peer support is valuable, but practical strategies are needed to assist informal dementia caregivers who have limited time or searching skills