Integrative analysis of multi-omics data can elucidate valuable insights into complex molecular mechanisms for various diseases. However, due to their different modalities and high dimension, utilizing integrating types omics suffers from great challenges. There is an urgent need develop a powerful method improve survival prediction detect functional gene modules data. To deal with these problems, we present DeepOmix (a scalable interpretable multi-Omics Deep learning framework application...

The potentials of pulse peptides as cryoprotectants remain less exploited than other well-known applications, e.g., nutrient supplements, stabilizers, antioxidants etc. Thus, for the first time, this study screened a number widely-used (pea, chickpea, lentil, mung bean, and white kidney bean) by evaluating their ice recrystallization inhibition (IRI) thermal hysteresis (TH) activities. Then, chickpea peptide (CP) with most prominent anti-freezing performance was selected systematical...

Abstract The determination of transcriptome profiles that mediate immune therapy in cancer remains a major clinical and biological challenge. Despite responses induced by immune-check points inhibitors (ICIs) diverse tumor types all the big breakthroughs immunotherapy, most patients with solid tumors do not respond to ICI therapies. It still challenge predict treatment response. Here, we propose framework multiple prior knowledge networks guided for checkpoints prediction—DeepOmix-ICI (or...

Non-raster scanning and undersampling of atomic force microscopy (AFM) images is a technique for improving imaging rate reducing the amount tip–sample interaction needed to produce an image. Generation final image can be done using variety processing techniques based on interpolation or optimization. The choice reconstruction method has large impact quality recovered proper depends sample under study. In this work we compare through use inpainting algorithms with optimization basis pursuit...

Chromosome enumeration is an essential but tedious procedure in karyotyping analysis. To automate the process, we develop a chromosome framework, DeepACEv2, based on region object detection scheme. The framework developed following three steps. Firstly, take classical ResNet-101 as backbone and attach Feature Pyramid Network (FPN) to backbone. FPN takes full advantage of multiple level features, only output feature map that most chromosomes are assigned to. Secondly, enhance proposal...

Earthquakes in coastal areas frequently trigger tsunami waves, posing significant threats to low-lying bridges. Investigating extreme wave force on bridge deck is crucial for understanding damage mechanisms. However, the majority of current research focuses single deck, with limited analysis impacts twin decks. In this paper, solitary utilized simulate wave, and a two-dimensional (2D) computational fluid dynamics (CFDs) model analyze wave–bridge interactions investigate impact adjacent...

The idea of compressed sensing (CS) can be applied to atomic force microscopy (AFM) reduce the amount data that needs sampled for accurate image reconstruction. sampling strategy and measurement matrix design in AFM have been discussed previous work. However, standard CS recovery solve a large size convex optimization problem, which requires lot computational resources terms both time memory. In this paper, we propose new variant Matching Pursuit (MP) algorithm reconstruction based on AFM....

Background: Cerebral small vessel disease (CSVD) has not been systematically studied in patients with multiple system atrophy (MSA). Objective: We sought to explore whether MSA suffer from a heavier CSVD burden relative healthy individuals and relationship motor, cognitive, emotional dysfunction MSA. Methods: This study consecutively recruited 190 matched controls whose overall single imaging markers (including white matter hyperintensity (WMH), microbleeds, lacunes, enlarged perivascular...

In this paper we describe an implementation of non-raster scanning atomic force microscopy images where randomly placed short scans are combined with compressive-sensing based image reconstruction algorithms to produce the final image. We details and compare achievable imaging rate quality raster-scanned images. Our experimental results show improvements up approximately a five times reduction in time while revealing several practical challenges.

Recent advances in RNA engineering have enabled the development of RNA-based therapeutics for a broad spectrum applications. Developing start with targeted screening and move to drug design optimization. However, existing target tools ignore noncoding RNAs their disease-relevant regulatory relationships. And designing therapeutic encounters high computational complexity multi-objective optimization overcome immunogenicity, instability inefficient translational production. To unlock potential...

Undersampling-based approaches in atomic force microscopy (AFM) aim to reduce the time acquire an image by reducing number of measurements needed while still maintaining quality. The approach consists two components: Data acquisition and reconstruction. Successful practical implementation involves solving a variety nontrivial problems. In this article, we describe based on collection short scans known as $\mu$-paths, demonstrate it commercial AFM using grating sample. Reconstructions are...

Undersampling is a simple but efficient way to increase the imaging rate of atomic force microscopy (AFM). The undersampled AFM images typically can be faithfully reconstructed with signal recovery techniques such as inpainting or algorithms from compressive sensing. In this paper, we consider case when dynamic processes sample occur in small proportion entire scanning area while background relatively static and only slowly changing. setting, two consecutive video frames, termed reference...

Chromosome classification is an important but difficult and tedious task in karyotyping. Previous methods only classify manually segmented single chromosome, which far from clinical practice. In this work, we propose a detection based method, DeepACC, to locate fine chromosomes simultaneously on the whole metaphase image. We firstly introduce Additive Angular Margin Loss enhance discriminative power of model. To alleviate batch effects, transform decision boundary each class case-by-case...

The use of oil-in-water (O/W) emulsion has drawn increasing attention in the baking industry. Compared with some well-recognized functionalities, such as textural improvers and flavor carriers, its cryoprotective behavior frozen dough not been extensively investigated. Herein, this study reported a pea-protein (PP)-stabilized O/W good freeze–thaw stability evaluated effectiveness high-performance cryoprotectant. Specifically, emulsions were stabilized by 2, 3, 4 wt% PP (PP-2, -3, -4,...

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The failure of the support system is one primary reasons for bridge failures during construction. Existing research on primarily focused falsework, with less attention given to other components such as Bailey beams, transverse and steel pipe piles. This study an incident where a cast-in-situ box girder experienced settlement due To thoroughly analyze accident's causes, multiscale elastic–plastic finite-element model was developed based actual on-site layout. By combining results...

Abstract Background: Our study aimed to employ a machine learning models based on radiomics for automated dementia identification in cerebral small vessel disease (CSVD) patients with normal age-related hippocampal atrophy (HA). Methods: CSVD were divided randomly into training and validation sets 6:4 ratio. Bilateral hippocampus segmented T2 FLAIR used radiomics. Dementia (T2 model, T2FLAIR T2-T2FLAIR model) developed the was further verified sets. The rad_score from best models, along...

This paper studies the Unramified Fontaine-Mazur Conjecture for $ p $-adic Galois representations and its generalizations. We prove some basic cases of conjecture provide useful criterions verifying it. In addition, we propose several different strategies to attack reduce it special cases. also many new results in two-dimensional case. Furthermore, study unramified deformation rings. Assuming conjecture, that generic fiber ring is a finite direct product fields. particular, has only finitely...

It is likely that an RNA world existed in early life, when played both the roles of genome and functional molecules, thereby undergoing Darwinian evolution. However, even with only one type polymer, it seems quite necessary to introduce a labour division concerning these two because folding required for molecules (ribozymes) but unfavourable (as template replication). Notably, while ribozymes tend have adopted linear form without constraints, circular form, which might been topologically...