Sequential Condition Evolved Interaction Knowledge Graph for Traditional Chinese Medicine Recommendation

Traditional Chinese Medicine (TCM) has a rich history of utilizing natural herbs to treat a diversity of illnesses. In practice, TCM diagnosis and treatment are highly personalized and organically holistic, requiring comprehensive consideration of the patient's state and symptoms over time. However, existing TCM recommendation approaches overlook the changes in patient status and only explore potential patterns between symptoms and prescriptions. In this paper, we propose a novel Sequential Condition Evolved Interaction Knowledge Graph (SCEIKG), a framework that treats the model as a sequential prescription-making problem by considering the dynamics of the patient's condition across multiple visits. In addition, we incorporate an interaction knowledge graph to enhance the accuracy of recommendations by considering the interactions between different herbs and the patient's condition. Experimental results on a real-world dataset demonstrate that our approach outperforms existing TCM recommendation methods, achieving state-of-the-art performance

Positive solutions for a class of singular boundary-value problems

Using regularization and the sub-super solutions method, this note shows the existence of positive solutions for singular differential equation subject to four-point boundary conditions

secure multi-party computation protocol for sequencing problem

In the field of multi-party computation, an important problem is how to construct an efficient and secure multi-party computation protocol for certain specific problems. In the present study, we make use of a secret sharing scheme to construct an efficient and secure multi-party computation protocol for sequencing problems. Our protocols are perfectly secure against both a passive adversary that can corrupt at most t a (c) 1/2 (n - 1)/2 participants, and an active adversary that can corrupt at most t < n/3 participants. The simplest sequencing problem is the Millionaires' problem.National Natural Science Foundation of China10871222In the field of multi-party computation, an important problem is how to construct an efficient and secure multi-party computation protocol for certain specific problems. In the present study, we make use of a secret sharing scheme to construct an efficient and secure multi-party computation protocol for sequencing problems. Our protocols are perfectly secure against both a passive adversary that can corrupt at most t a (c) 1/2 (n - 1)/2 participants, and an active adversary that can corrupt at most t < n/3 participants. The simplest sequencing problem is the Millionaires' problem

Influence of Proteolysis on the Binding Capacity of Flavor Compounds to Myofibrillar Proteins

Proteolysis occurs extensively during postmortem aging, enzymatic tenderization and fermentation of meat products, whereas less is understood regarding how proteolysis affects meat flavor. Myofibrillar proteins (MP) were extracted from beef longissimus dorsi muscle and subsequently treated with three commercial proteases. The effect of proteolysis on the interactions between the treated MP and butyraldehyde, 2-pentanone, octanal and 2-octanone was investigated. The progress of proteolysis increased the degree of hydrolysis (DH) and the surface hydrophobicity but decreased the turbidity and particle size. Fluorescence-quenching analysis results indicated that the enzymatic treatment generally increased the quenching constant (Ksv) between the treated MP and ketones but decreased the Ksv between the treated MP and aldehydes, and the papain treatment changed the Ksv value to a larger degree than treatment with proteinase K and bromelain. The adsorption assay showed that the proteinase K treatment largely increased the adsorption capacity of the MP to octanal (by 15.8&ndash;19.3%), whereas the bromelain treatment significantly reduced the adsorption capacity of the treated MP to butyraldehyde (by 6.0&ndash;7.9%) and 2-pentanone (by 9.7&ndash;11.9%). A correlation analysis demonstrated a strong positive correlation (0.859, p &lt; 0.05) between the DH of the MP and the adsorption ability of the treated MP to octanal. This study highlighted the significant but complex influence of proteolysis on MP binding capacity to flavor compounds