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View article: CT-Based 2.5D Deep Learning-Multi-Instance Learning for Predicting Early Recurrence of Hepatocellular Carcinoma and Correlating with Recurrence-Related Pathological Indicators
CT-Based 2.5D Deep Learning-Multi-Instance Learning for Predicting Early Recurrence of Hepatocellular Carcinoma and Correlating with Recurrence-Related Pathological Indicators Open
The 2.5D DL-MIL model demonstrates significant value in predicting ER of HCC, with its MIL features exhibiting strong associations with tumor invasiveness and proliferative activity.
View article: NucEL: Single-Nucleotide ELECTRA-Style Genomic Pre-training for Efficient and Interpretable Representations
NucEL: Single-Nucleotide ELECTRA-Style Genomic Pre-training for Efficient and Interpretable Representations Open
Pre-training large language models on genomic sequences has become a powerful approach for learning biologically meaningful representations. While masked language modeling (MLM)-based approaches, such as DNABERT and Nucleotide Transformer …
View article: NucEL: Single-Nucleotide ELECTRA-Style Genomic Pre-training for Efficient and Interpretable Representations
NucEL: Single-Nucleotide ELECTRA-Style Genomic Pre-training for Efficient and Interpretable Representations Open
Pre-training large language models on genomic sequences is a powerful approach for learning biologically meaningful representations. Masked language modeling (MLM) methods, such as DNABERT and Nucleotide Transformer (NT), achieve strong pe…
View article: Beyond Homeownership: Uncovering the Impact of Ownership‐Residence Mismatch on Subjective Well‐Being in Urban China
Beyond Homeownership: Uncovering the Impact of Ownership‐Residence Mismatch on Subjective Well‐Being in Urban China Open
While extensive research has explored the impact of housing tenure on individuals' subjective well‐being (SWB), little is known about the implications of the emerging owner‐renting phenomenon—where homeowners live in rented housing instead…
View article: Optimizing Flammulina velutipes residue use: impact on health metrics and performance in three-yellow chickens
Optimizing Flammulina velutipes residue use: impact on health metrics and performance in three-yellow chickens Open
Introduction This study investigated the effects of Flammulina velutipes residue (FVR) on performance, antioxidant function, immunity, and intestinal flora of broilers. Methods A total of 192 one-day-old three-yellow chickens were divided …
View article: Glutamine protects cow's ruminal epithelial cells from acid-induced injury in vitro
Glutamine protects cow's ruminal epithelial cells from acid-induced injury in vitro Open
This study was conducted to investigate the effects and mechanisms of glutamine (Gln) on the repair of acid-induced injury in dairy cow ruminal epithelial cells (RECs) in vitro. Dairy cow RECs were cultured in a medium with pH of 5.5 for 3…
View article: A community effort to optimize sequence-based deep learning models of gene regulation
A community effort to optimize sequence-based deep learning models of gene regulation Open
A systematic evaluation of how model architectures and training strategies impact genomics model performance is needed. To address this gap, we held a DREAM Challenge where competitors trained models on a dataset of millions of random prom…
View article: Augmented dataset for multidimensional ballast segmentation and evaluation
Augmented dataset for multidimensional ballast segmentation and evaluation Open
Ballast plays an important role as a railway track supporting structure against repeated loading. Ballast degradation results in poor drainage, lateral instability, excessive settlement, service interruptions, and safety concerns. Therefor…
View article: Learning to Maximize Mutual Information for Chain-of-Thought Distillation
Learning to Maximize Mutual Information for Chain-of-Thought Distillation Open
Knowledge distillation, the technique of transferring knowledge from large, complex models to smaller ones, marks a pivotal step towards efficient AI deployment. Distilling Step-by-Step~(DSS), a novel method utilizing chain-of-thought~(CoT…
View article: CRMnet: A deep learning model for predicting gene expression from large regulatory sequence datasets
CRMnet: A deep learning model for predicting gene expression from large regulatory sequence datasets Open
Recent large datasets measuring the gene expression of millions of possible gene promoter sequences provide a resource to design and train optimized deep neural network architectures to predict expression from sequences. High predictive pe…
View article: DYNAMICS OF A TWO-PREY AND ONE PREDATOR SYSTEM WITH QUADRATIC SELF INTERACTION
DYNAMICS OF A TWO-PREY AND ONE PREDATOR SYSTEM WITH QUADRATIC SELF INTERACTION Open
A two-prey and one-predator system with quadratic self-interaction is discussed on subsets of special biological sense, none of which is closed under operations of the polynomial ring. The known work studied the stability of the boundary e…
View article: Seismic Performance of a New Assembled Bolt-Connected Concrete Beam–Column Joint: Experimental Test and Finite Element Modeling
Seismic Performance of a New Assembled Bolt-Connected Concrete Beam–Column Joint: Experimental Test and Finite Element Modeling Open
A new assembled bolt-connected concrete beam–column joint is proposed, aimed at completing the repair of a post-earthquake node by replacing the bolts and precast beams. Low-cycle loading tests were performed on two new full-scale connecti…
View article: Experimental Study on the Seismic Performance of New Energy Dissipation Connectors in an Autoclaved Aerated Concrete Panel with Assembled Steel Frame
Experimental Study on the Seismic Performance of New Energy Dissipation Connectors in an Autoclaved Aerated Concrete Panel with Assembled Steel Frame Open
This study proposes a new energy dissipation connector (NEDC) to connect an external autoclaved aerated concrete (AAC) wall panel with an assembled steel frame. To investigate the seismic performance and working mechanism of the NEDC under…
View article: Cyclic Behavior of Autoclaved Aerated Concrete External Panel with New Connector
Cyclic Behavior of Autoclaved Aerated Concrete External Panel with New Connector Open
In this paper, a new slip-type crossing connector is proposed for autoclaved aerated concrete (ALC) panels with steel frames, and the proposed connector is also studied deeply in terms of seismic performance. The research included pseudo-s…
View article: CRMnet: a deep learning model for predicting gene expression from large regulatory sequence datasets
CRMnet: a deep learning model for predicting gene expression from large regulatory sequence datasets Open
Recent large datasets measuring the gene expression of millions of possible gene promoter sequences provide a resource to design and train optimised deep neural network architectures to predict expression from sequences. High predictive pe…
View article: Saved model and preprocessed data for "CRMnet:a deep learning model for predicting gene expression from large regulatory sequence datasets"
Saved model and preprocessed data for "CRMnet:a deep learning model for predicting gene expression from large regulatory sequence datasets" Open
Saved TUNet model and preprocessed training data for "CRMnet: a deep learning model for predicting gene expression from large regulatory sequence datasets" To load the trained model: import tensorflow as tf tf.keras.models.load_model("path…
View article: Saved model and preprocessed data for "CRMnet:a deep learning model for predicting gene expression from large regulatory sequence datasets"
Saved model and preprocessed data for "CRMnet:a deep learning model for predicting gene expression from large regulatory sequence datasets" Open
Saved TUNet model and preprocessed training data for "CRMnet: a deep learning model for predicting gene expression from large regulatory sequence datasets" To load the trained model: import tensorflow as tf tf.keras.models.load_model("path…
View article: Experimental and Parametric Study on Seismic Behavior of Steel Frame with ALC Panels
Experimental and Parametric Study on Seismic Behavior of Steel Frame with ALC Panels Open
This paper presents a new type of connector which is used in prefabricated structures for attaching the autoclaved lightweight concrete panels to the steel frame. The new type of connector is composed of an L-node plate and a Z-node plate …
View article: Study on the Mechanical Performance of H-Shaped Steel-Concrete Laminated Plate Composite Beams under Negative Bending Moment
Study on the Mechanical Performance of H-Shaped Steel-Concrete Laminated Plate Composite Beams under Negative Bending Moment Open
To make the construction of assembled steel-reinforced truss concrete laminated plate composite structure faster, safer, and more efficient, this paper proposes an H-shaped steel-reinforced truss concrete laminated plate composite structur…
View article: SIHG4SR: Side Information Heterogeneous Graph for Session Recommender
SIHG4SR: Side Information Heterogeneous Graph for Session Recommender Open
In this paper we present Side Information Heterogeneous Graph for Session Recommender – SIHG4SR, our solution for RecSys Challenge 2022[3], a competition organized by Dressipi for fashion recommendation. Dressipi provides data about user s…
View article: Optimization Strategy for Parks and Green Spaces in Shenyang City: Improving the Supply Quality and Accessibility
Optimization Strategy for Parks and Green Spaces in Shenyang City: Improving the Supply Quality and Accessibility Open
In this study, we evaluated the supply quality of parks and green spaces within the Third Ring Road area in Shenyang city by combining a landscape pattern index analysis with a principal component analysis. Moreover, a network analysis bas…
View article: Seismic Performance of Panel Connectors with Steel Frame Based on Autoclaved Lightweight Concrete (ALC)
Seismic Performance of Panel Connectors with Steel Frame Based on Autoclaved Lightweight Concrete (ALC) Open
This paper proposes new prefabricated autoclaved lightweight concrete (ALC) connectors which allow limited sliding. The seismic performance of the proposed connectors and a traditional connector (L-hooked bolt) were investigated in depth. …
View article: Research on Angle Connector in Composite Beam
Research on Angle Connector in Composite Beam Open
As a critical component for steel beam and concrete slab to work together, the strength of the shear connector affects the flexural load capacity and stiffness of the composite beam. Connectors were generally studied for longitudinal shear…
View article: Hysteresis Behavior and Design of the New Autoclaved Lightweight Concrete (ALC) External Panel Connector with the Steel Frame
Hysteresis Behavior and Design of the New Autoclaved Lightweight Concrete (ALC) External Panel Connector with the Steel Frame Open
This paper proposes a new flexible connector for the autoclaved lightweight concrete (ALC) panel with the steel beam. It is a universal upper and lower crossing connector, with load-bearing and limitation holes; then, the seismic capacity …
View article: Free Response of a Rotational Nonlinear Energy Sink Coupled to a Linear Oscillator: Fractality, Riddling, and Initial-Condition Sensitivity at Large Initial Displacements
Free Response of a Rotational Nonlinear Energy Sink Coupled to a Linear Oscillator: Fractality, Riddling, and Initial-Condition Sensitivity at Large Initial Displacements Open
For large initial rectilinear displacements, we investigate free response of a linear oscillator inertially coupled to a rotational nonlinear energy sink (NES). Absent direct rectilinear damping, two ranges of orbitally stable solutions ar…