Abstract In this work, an organic/inorganic hybrid polymer containing siloxyl functional groups was synthesized and applied to encapsulate phase change materials (PCMs). Owing the mild conditions of hypercrosslinking reaction, which only requires addition a catalytic amount aqueous alkaline solution, both organic inorganic PCMs are tolerated. It is noteworthy that initial homogeneous state reaction mixture allowed ultimate encapsulation rate uniform blending third nano‐additives with aim...

Since tumor is seriously harmful to human health, effective diagnosis measures are in urgent need for therapy. Early detection of particularly important better treatment patients. A notable issue how effectively discriminate samples from normal ones. Many classification methods, such as Support Vector Machines (SVMs), have been proposed classification. Recently, deep learning has achieved satisfactory performance the task many areas. However, application rare due insufficient training gene...

The active center of the TiCl4/MgCl2 Ziegler-Natta catalyst (TMC) has an important impact on alkadiene polymerization. In this paper, density functional theory was used to study adsorption behavior monomeric TiCl4 and dimeric Ti2Cl8 different surfaces MgCl2 (110) (104). Additionally, influence distribution kinetics isoprene polymerization catalyzed by TMC also investigated, aiming gain a better understanding potential site structures in for dienes. Three models were employed analyze...

Driven by multi-omics data, some multi-view clustering algorithms have been successfully applied to cancer subtypes prediction, aiming identify with biometric differences in the same cancer, thereby improving clinical prognosis of patients and designing personalized treatment plan. Due fact that number omics data is much smaller than genes, spectral based on similarity learning has widely developed. However, these still suffer problems, such as over-reliance quality pre-defined matrices for...

Identification of characteristic genes associated with specific biological processes different cancers could provide insights into the underlying cancer genetics and prognostic assessment. It is critical importance to select such effectively. In this paper, a novel unsupervised gene selection method based on sample learning sparse filtering, Sample Learning Deep Sparse Filtering (SLDSF), proposed. With learning, proposed SLDSF can better represent expression level by transformed space. Most...

Abstract In this work, an organic/inorganic hybrid polymer containing siloxyl functional groups was synthesized and applied to encapsulate phase change materials (PCMs). Owing the mild conditions of hypercrosslinking reaction, which only requires addition a catalytic amount aqueous alkaline solution, both organic inorganic PCMs are tolerated. It is noteworthy that initial homogeneous state reaction mixture allowed ultimate encapsulation rate uniform blending third nano‐additives with aim...

Posterior capsule opacification (PCO) is the most common complication of cataract surgery, and intraocular lens (IOL) implantation standard care for patients. Induction post-operative epithelial-mesenchymal transition (EMT) in residual epithelial cells (LEC) main mechanism by which PCO forms. Previous studies have shown that IOLs made with different materials varying incidence PCO. The aim this paper was to study interactions between human (h)LEC polymer substrates. Polymers copolymers...

In current molecular biology, it becomes more and important to identify differentially expressed genes closely correlated with a key biological process from gene expression data. this paper, based on the Schatten p-norm Lp-norm, novel robust feature extraction method is proposed genes. our method, used as regularization function obtain low-rank matrix Lp-norm taken error improve robustness outliers in The results simulation data show that can higher identification accuracies than competitive...

The reinforcement learning algorithms based on policy gradient may fall into local optimal due to disappearance during the update process, which in turn affects exploration ability of agent. In order solve above problem, this paper, cross‐entropy method (CEM) evolution policy, maximum mean difference (MMD), and twin delayed deep deterministic algorithm (TD3) are combined propose a diversity evolutionary (DEPRL) algorithm. By using discrepancy as measure distance between different policies,...

It is a vital task to design an integrated machine learning model discover cancer subtypes and understand the heterogeneity of based on multiple omics data. In recent years, some multi-view clustering algorithms have been proposed applied prediction subtypes. Among them, methods graph are widely concerned. These approaches usually one or more following problems. Many use original data matrix construct similarity ignore matrix. They separate process from process, resulting in highly dependent...

It is urgent to diagnose colorectal cancer in the early stage. Some feature genes which are important development have been identified. However, for stage of cancer, less known about identity specific that associated with advanced clinical In this paper, we conducted a extraction method named Optimal Mean based Block Robust Feature Extraction (OMBRFE) identify by using integrated data. Firstly, on optimal mean and L 2,1-norm, novel called (OMRFE) proposed genes. Then OMBRFE introduces block...

Integrating multigenomic data to recognize cancer subtype is an important task in bioinformatics. In recent years, some multiview clustering algorithms have been proposed and applied identify subtype. However, these ignore that each contributes differently the results during fusion process, they require additional steps generate final labels. this paper, a new one-step method for recognition based on graph learning framework designed, called Laplacian Rank Constrained Multiview Clustering...

A reliable and precise recognition of the differentially expressed genes tumor is crucial to treat cancer effectively. The small number in a huge gene expression dataset determines important role sparse methods, such as Penalty matrix decomposition (PMD), among feature selection methods. methods always have drawback: they do not take advantage known class labels data. novel supervised-sparse method named Supervised PMD (SPMD) proposed by adding information into via total scatter matrix....

It is a crucial task to design an integrated method discover cancer subtypes and understand the heterogeneity of based on multiple genomic data. In recent years, some clustering algorithms have been proposed applied subtype prediction. Among them, similarity network fusion (SNF) can integrate types data identify subtypes, which improves understanding tumorigenesis. SNF uses dense matrix obtain global information data, interconnection samples between different categories will cause noise...

Clustering of tumor samples can help identify cancer types and discover new subtypes, which is essential for effective treatment. Although many traditional clustering methods have been proposed sample clustering, advanced algorithms with better performance are still needed. Low-rank subspace a popular algorithm in recent years. In this paper, we propose novel one-step robust low-rank segmentation method (ORLRS) the sample. For gene expression data set, seek its lowest rank representation...

To study the effect of recycled coarse aggregate, water-cement ratio and mixture on physico-mechanical properties concrete, determine finial optimum concrete with ratio, tests are done conventional concrete. Results show that replacement rate increasing compressive strength splitting tensile increase then decrease. It is feasible to develop 100% aggregate. With an aggregate rate, dry shrinkage increases gradually, but range has little The 28 days linear correlation coefficient 0.98763....

Due to poor bonding of a shield machine main drive leading seal failure sealing fracture occurs, the proposed installation forms adhesive method is replaced by platen method, and material NBR fluorine rubber, so that combination housing more reliable, avoiding caused discontinuity local sealing. Construction process increases injection three different oils enhancing effect. Through application practical project, no appears after transformation.