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Privacy-preserving matrix factorization for recommendation systems using Gaussian mechanism and functional mechanism
Building a recommendation system involves analyzing user data, which can potentially leak sensitive information about users. As shown in numerous...
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Cancer mutationscape: revealing the link between modular restructuring and intervention efficacy among mutations
There is increasing evidence that biological systems are modular in both structure and function. Complex biological signaling networks such as gene...
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Benchmarking and integrating human B-cell receptor genomic and antibody proteomic profiling
Immunoglobulins (Ig), which exist either as B-cell receptors (BCR) on the surface of B cells or as antibodies when secreted, play a key role in the...
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Industrial product surface defect detection via the fast denoising diffusion implicit model
In the age of intelligent manufacturing, surface defect detection plays a pivotal role in the automated quality control of industrial products,...
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Genetic constraint at single amino acid resolution in protein domains improves missense variant prioritisation and gene discovery
BackgroundOne of the major hurdles in clinical genetics is interpreting the clinical consequences associated with germline missense variants in...
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Exome sequencing in undiagnosed congenital myopathy reveals new genes and refines genes–phenotypes correlations
BackgroundCongenital myopathies are severe genetic diseases with a strong impact on patient autonomy and often on survival. A large number of...
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Clinical and genomic features of Mycobacterium avium complex: a multi-national European study
BackgroundThe Mycobacterium avium complex (MAC) comprises the most frequent non-tuberculous mycobacteria (NTM) in Central Europe and currently...
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Joint features-guided linear transformer and CNN for efficient image super-resolution
Integrating convolutional neural networks (CNNs) and transformers has notably improved lightweight single image super-resolution (SISR) tasks....
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Inherit or discard: learning better domain-specific child networks from the general domain for multi-domain NMT
Multi-domain NMT aims to develop a parameter-sharing model for translating general and specific domains, such as biology, legal, etc., which often...
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Computational gastronomy: capturing culinary creativity by making food computable
Cooking, a quintessential creative pursuit, holds profound significance for individuals, communities, and civilizations. Food and cooking transcend...
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Self-representation with adaptive loss minimization via doubly stochastic graph regularization for robust unsupervised feature selection
Unsupervised feature selection (UFS), which involves selecting representative features from unlabeled high-dimensional data, has attracted much...
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Targeting protein interaction networks in mitochondrial dynamics for neurodegenerative diseases
Mitochondria, the powerhouse of eukaryotic cells, are the central organelle controlling energy metabolism and apoptosis. Based on metabolic needs,...
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A multi-strategy hybrid cuckoo search algorithm with specular reflection based on a population linear decreasing strategy
The cuckoo search algorithm (CS), an algorithm inspired by the nest-parasitic breeding behavior of cuckoos, has proved its own effectiveness as a...
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Unraveling metabolic pathways and key genes in Alzheimer’s, type 2 diabetes, and estrogen dysregulation among aging women: a systems biology approach
BackgroundAlzheimer’s disease (AD) and Type 2 Diabetes Mellitus (T2DM) present significant global health challenges, particularly affecting aging...
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A comprehensive review of computational cell cycle models in guiding cancer treatment strategies
This article reviews the current knowledge and recent advancements in computational modeling of the cell cycle. It offers a comparative analysis of...
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A novel abstractive summarization model based on topic-aware and contrastive learning
The majority of abstractive summarization models are designed based on the Sequence-to-Sequence(Seq2Seq) architecture. These models are able to...
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Low-dimensional intrinsic dimension reveals a phase transition in gradient-based learning of deep neural networks
Deep neural networks complete a feature extraction task by propagating the inputs through multiple modules. However, how the representations evolve...
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Undersampling based on generalized learning vector quantization and natural nearest neighbors for imbalanced data
Imbalanced datasets can adversely affect classifier performance. Conventional undersampling approaches may lead to the loss of essential information,...
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A copy-move forgery detection technique using DBSCAN-based keypoint similarity matching
In an era marked by the contrast between information and disinformation, the ability to differentiate between authentic and manipulated images holds...
