Interaction-knowledge semantic alignment for recommendation.

In order to alleviate the issue of data sparsity, knowledge graphs are introduced into recommender systems because they contain diverse information about items. The existing knowledge graph enhanced recommender systems utilize both user-item interaction data and knowledge graph, but those methods ignore the semantic difference between interaction data and knowledge graph. On the other hand, for the item representations obtained from two kinds of graph structure data respectively, the existing methods of fusing representations only consider the item representations themselves, without considering the personalized preference of users.

The impact of hydroxybutyl chitosan and 5-fluorouracil on the procedure of endoscopic endonasal dacryocystorhinostomy.

Purpose: To investigate the effects of hydroxybutyl chitosan (HBCS) with and without 5-fluorouracil (5-FU) during endoscopic endonasal dacryocystorhinostomy (Endo-DCR). In addition, the present study observed the impact of HBCS and 5-FU on the functions of the nasal mucosal cell population in vivo .

Methods: Patients were randomized into HBCS (group A), HBCS combined with 5-FU (group B), and gelatin sponge control group (group C).

Dual Information Enhanced Multiview Attributed Graph Clustering.

Multiview attributed graph clustering is an important approach to partition multiview data based on the attribute characteristics and adjacent matrices from different views. Some attempts have been made in using graph neural network (GNN), which have achieved promising clustering performance. Despite this, few of them pay attention to the inherent specific information embedded in multiple views.

Contrastive Multiview Attribute Graph Clustering With Adaptive Encoders.

Multiview attribute graph clustering aims to cluster nodes into disjoint categories by taking advantage of the multiview topological structures and the node attribute values. However, the existing works fail to explicitly discover the inherent relationships in multiview topological graph matrices while considering different properties between the graphs. Besides, they cannot well handle the sparse structure of some graphs in the learning procedure of graph embeddings.

Motif-Based Contrastive Learning for Community Detection.

Community detection has become a prominent task in complex network analysis. However, most of the existing methods for community detection only focus on the lower order structure at the level of individual nodes and edges and ignore the higher order connectivity patterns that characterize the fundamental building blocks within the network. In recent years, researchers have shown interest in motifs and their role in network analysis.

Incomplete Data Meets Uncoupled Case: A Challenging Task of Multiview Clustering.

Incomplete multiview clustering (IMC) methods have achieved remarkable progress by exploring the complementary information and consensus representation of incomplete multiview data. However, to our best knowledge, none of the existing methods attempts to handle the uncoupled and incomplete data simultaneously, which affects their generalization ability in real-world scenarios. For uncoupled incomplete data, the unclear and partial cross-view correlation introduces the difficulty to explore the complementary information between views, which results in the unpromising clustering performance for the existing multiview clustering methods.

A Tensor Approach for Uncoupled Multiview Clustering.

Multiview clustering plays an important part in unsupervised learning. Although the existing methods have shown promising clustering performances, most of them assume that the data is completely coupled between different views, which is unfortunately not always ensured in real-world applications. The clustering performance of these methods drops dramatically when handling the uncoupled data.

Daunomycin-loaded superparamagnetic iron oxide nanoparticles: Preparation, magnetic targeting, cell cytotoxicity, and protein delivery research.

The clinical use of daunomycin is restricted by dose-dependent toxicity and low specificity against cancer cells. In the present study, modified superparamagnetic iron oxide nanoparticles were employed to load daunomycin and the drug-loaded nanospheres exhibited satisfactory size and smart pH-responsive release. The cellular uptake efficiency, targeted cell accumulation, and cell cytotoxicity experimental results proved that the superparamagnetic iron oxide nanoparticle-loading process brings high drug targeting without decreasing the cytotoxicity of daunomycin.

Synthesis, G-quadruplexes DNA binding, and photocytotoxicity of novel cationic expanded porphyrins.

Intensive reports allowed the conclusion that molecules with extended aromatic surfaces always do good jobs in the DNA interactions. Inspired by the previous successful researches, herein, we designed a series of cationic porphyrins with expanded planar substituents, and evaluated their binding behaviors to G-quadruplex DNA using the combination of surface-enhanced raman, circular dichroism, absorption spectroscopy and fluorescence resonance energy transfer melting assays. Asymmetrical tetracationic porphyrin with one phenyl-4-N-methyl-4-pyridyl group and three N-methyl-4-pyridyl groups exhibit the best G4-DNA binding affinities among all the designed compounds, suggesting that the bulk of the substituents should be matched to the width of the grooves they putatively lie in.

A simulation study on nanoscale holes generated by gold nanoparticles on negative lipid bilayers.

Understanding the interactions of gold nanoparticles (AuNPs) with cellular compartments, especially cell membranes, is of fundamental importance in obtaining their control in biomedical applications. An effort is made in this paper to investigate the interactions of 2.2 nm core AuNPs with negative model bilayer membranes by coarse-grained (CG) molecular dynamics (MD) simulation.

[Effect of palatoplasty timing on the dental arch relationships between upper and lower jaws].

Objective: To investigate the effect of different palatoplasty timing on the dental arch relationship between upper and lower jaws by a retrospective study.

Methods: A total of 103 UCLP consecutive cases over 10 years of age were followed up after operation, which were divided into three groups according to the age of operation, group A: < or = 3.0-years-old, group B: < or = 6.

[Craniofacial morphology of patients with isolated cleft palate in the mixed dentition after palatoplasty].

Objective: To evaluate the craniofacial morphology of patients with isolated cleft palate in the mixed dentition after palatoplasty.

Methods: Twenty patients (7 to 11 years old) with isolated cleft palate in the mixed dentition were selected. The control group comprised 35 age-matched non-cleft children without orthodontic treatment.

[Clinical investigation of impacted maxillary canine].

Objective: To investigate the frequency, sex differences and location of impacted maxillary canine in orthodontic patients.

Methods: Two hundred and fifteen patients (77 males and 138 females) with maxillary canine impaction were included in the study. The experimental group was gathered from the Department of Orthodontics, Peking University School and Hospital of Stomatology.