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View article: How to quickly select good in-context examples in large language models for data-to-text tasks?
How to quickly select good in-context examples in large language models for data-to-text tasks? Open
In the realm of data-to-text generation tasks, the use of large language models (LLMs) has become common practice, yielding fluent and coherent outputs. Existing literature highlights that the quality of in-context examples significantly i…
View article: UNC13D c.2588G>A Nucleotide Variant Impairs NK-Cell Cytotoxicity in Adult-Onset EBV-Associated Hemophagocytic Lymphohistiocytosis: A Pedigree Study
UNC13D c.2588G>A Nucleotide Variant Impairs NK-Cell Cytotoxicity in Adult-Onset EBV-Associated Hemophagocytic Lymphohistiocytosis: A Pedigree Study Open
UNC13D, which encodes the Munc13–4 protein, is a critical gene implicated in type 3 familial hemophagocytic lymphohistiocytosis (HLH). While biallelic nucleotide variants in HLH-related genes, including UNC13D, are traditionally linked to …
View article: Phase angle as a predictor of prolonged length of hospital stay and adverse outcomes in elderly medical inpatients: a retrospective cohort study
Phase angle as a predictor of prolonged length of hospital stay and adverse outcomes in elderly medical inpatients: a retrospective cohort study Open
Objectives Evaluating prognosis in geriatric inpatients presents significant complexity and challenges. The aim of this retrospective study was to investigate the association between phase angle (PhA) and clinical outcomes in hospitalized …
View article: Training Self-Supervised Depth Completion Using Sparse Measurements and a Single Image
Training Self-Supervised Depth Completion Using Sparse Measurements and a Single Image Open
Depth completion is an important vision task, and many efforts have been made to enhance the quality of depth maps from sparse depth measurements. Despite significant advances, training these models to recover dense depth from sparse measu…
View article: The Current State of Health and Personal Hygiene Education for Children of the Ruc Ethnic Minority (Chut Group) in Quang Binh Province, Vietnam
The Current State of Health and Personal Hygiene Education for Children of the Ruc Ethnic Minority (Chut Group) in Quang Binh Province, Vietnam Open
This study investigates the current state of health and personal hygiene education for children of the Ruc people (a subgroup of the Chut ethnic group) - a tiny ethnic minority facing significant challenges related to their living conditio…
View article: Research on building a set of criteria to evaluate the effectiveness of environmental protection management of Vietnam's natural heritage sites
Research on building a set of criteria to evaluate the effectiveness of environmental protection management of Vietnam's natural heritage sites Open
Developing a set of criteria to evaluate the effectiveness of environmental protection management of natural heritage sites is extremely necessary in the context that Vietnam's heritage sites are facing many risks and are increasingly degr…
View article: Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity
Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity Open
Gaussian Splatting (GS) has emerged as a crucial technique for representing discrete volumetric radiance fields. It leverages unique parametrization to mitigate computational demands in scene optimization. This work introduces Topology-Awa…
View article: Sentient: Multi-Scenario Behavioral Intent Analysis for Advanced Persistent Threat Detection
Sentient: Multi-Scenario Behavioral Intent Analysis for Advanced Persistent Threat Detection Open
Advanced Persistent Threats (APTs) are challenging to detect due to their complexity and stealth. To mitigate such attacks, many approaches utilize provenance graphs to model entities and their dependencies, detecting the covert and persis…
View article: <i>At5g63290</i> does not encode coproporphyrinogen III oxidase
<i>At5g63290</i> does not encode coproporphyrinogen III oxidase Open
At5g63290 is not responsible for the decarboxylation of coproporphyrinogen III, prompting a revision of the tetrapyrrole biosynthesis pathway in Arabidopsis thaliana.
View article: ViE-Take: A Vision-Driven Multi-Modal Dataset for Exploring the Emotional Landscape in Takeover Safety of Autonomous Driving
ViE-Take: A Vision-Driven Multi-Modal Dataset for Exploring the Emotional Landscape in Takeover Safety of Autonomous Driving Open
Takeover safety draws increasing attention in the intelligent transportation as the new energy vehicles with cutting-edge autopilot capabilities vigorously blossom on the road. Despite recent studies highlighting the importance of drivers’…
View article: Role of systemic inflammation response index and prognostic nutritional index in the prediction of moderate-to-severe bronchopulmonary dysplasia in very preterm infants
Role of systemic inflammation response index and prognostic nutritional index in the prediction of moderate-to-severe bronchopulmonary dysplasia in very preterm infants Open
SIRI and PNI have a certain predictive and diagnostic values for managing msBPD in premature infants.
View article: Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity
Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity Open
Gaussian Splatting (GS) has emerged as a crucial technique for representing discrete volumetric radiance fields. It leverages unique parametrization to mitigate computational demands in scene optimization. This work introduces Topology-Awa…
View article: A Review of Research on Super-resolution Image Reconstruction Based on Deep Learning
A Review of Research on Super-resolution Image Reconstruction Based on Deep Learning Open
Super-resolution image reconstruction (SRIR) endeavors to restore high-resolution (HR) images with enhanced detail from corresponding low-resolution (LR) inputs. With the rapid development of deep learning, integrating deep learning method…
View article: Altered structural and functional homotopic connectivity associated with cognitive changes in SLE
Altered structural and functional homotopic connectivity associated with cognitive changes in SLE Open
Objective Previous studies have revealed functional changes within the cerebral hemispheres of patients with SLE; however the changes between cerebral hemispheres are still unknown. The present study aimed to explore the functional and str…
View article: Monitoring and Evaluation of Debris Flow Disaster in the Loess Plateau Area of China: A Case Study
Monitoring and Evaluation of Debris Flow Disaster in the Loess Plateau Area of China: A Case Study Open
The Loess Plateau area, with complex geomorphological features and geological structure, is highly prone to geologic disasters such as landslides and debris flow, which cause great losses. To investigate the initiation mechanism of landsli…
View article: Multimodal Relational Triple Extraction with Query-based Entity Object Transformer
Multimodal Relational Triple Extraction with Query-based Entity Object Transformer Open
Multimodal Relation Extraction is crucial for constructing flexible and realistic knowledge graphs. Recent studies focus on extracting the relation type with entity pairs present in different modalities, such as one entity in the text and …
View article: Using Multimodal Data Collection System as a Research Tool in the Major Depressive Disorder Analysis: a cross-sectional study protocol
Using Multimodal Data Collection System as a Research Tool in the Major Depressive Disorder Analysis: a cross-sectional study protocol Open
Introduction Previous studies have established that depressive syndromes can be detected using machine learning methods, with multimodal data being essential. Multimodal data facilitates the extraction of characteristics such as gaze track…
View article: Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting Open
While most time series are non-stationary, it is inevitable for models to face the distribution shift issue in time series forecasting. Existing solutions manipulate statistical measures (usually mean and std.) to adjust time series distri…