Research Radar

Academic Publication • Published Jul 16, 2024

Reviewing the impact of climate change on global food security: Challenges and solutions

This review examines the intricate relationship between climate change and global food security, elucidating the challenges posed by climate variability and exploring potential solutions to mitigate its adverse effects. Climate change presents for...

Academic Publication • Published Jul 15, 2024

HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object Detection

Academic Publication • Published Jul 13, 2024

A strategy for tough and fatigue-resistant hydrogels via loose cross-linking and dense dehydration-induced entanglements

AbstractOutstanding overall mechanical properties are essential for the successful utilization of hydrogels in advanced applications such as human-machine interfaces and soft robotics. However, conventional hydrogels suffer from fracture toughness...

Academic Publication • Published Jul 13, 2024

2D Gaussian Splatting for Geometrically Accurate Radiance Fields

Academic Publication • Published Jul 12, 2024

Partitioning polar-slush strategy in relaxors leads to large energy-storage capability

Relaxor ferroelectric (RFE) films are promising energy-storage candidates for miniaturizing high-power electronic systems, which is credited to their high energy density ( U e ) and efficiency. However, advancin...

Academic Publication • Published Jul 11, 2024

Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM

AbstractCrop diseases can significantly affect various aspects of crop cultivation, including crop yield, quality, production costs, and crop loss. The utilization of modern technologies such as image analysis via machine learning techniques enabl...

Academic Publication • Published Jul 10, 2024

The Power of Noise: Redefining Retrieval for RAG Systems

Academic Publication • Published Jul 10, 2024

ChatUniTest: A Framework for LLM-Based Test Generation

Academic Publication • Published Jul 8, 2024

The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs)

AbstractWith the introduction of ChatGPT, Large Language Models (LLMs) have received enormous attention in healthcare. Despite potential benefits, researchers have underscored various ethical implications. While individual instances have garnered ...

Academic Publication • Published Jul 5, 2024

Advanced Plasmonic Resonance-enhanced Biosensor for Comprehensive Real-time Detection and Analysis of Deepfake Content

Academic Publication • Published Jul 5, 2024

Exploring and retrieving sequence and metadata for species across the tree of life with NCBI Datasets

AbstractTo explore complex biological questions, it is often necessary to access various data types from public data repositories. As the volume and complexity of biological sequence data grow, public repositories face significant challenges in en...

Academic Publication • Published Jul 5, 2024

ADMETlab 3.0: an updated comprehensive online ADMET prediction platform enhanced with broader coverage, improved performance, API functionality and decision support

Abstract ADMETlab 3.0 is the second updated version of the web server that provides a comprehensive and efficient platform for evaluating ADMET-related parameters as well as physicochemical properties and medicinal chemistry charact...

Academic Publication • Published Jul 5, 2024

DeepLoc 2.1: multi-label membrane protein type prediction using protein language models

Abstract DeepLoc 2.0 is a popular web server for the prediction of protein subcellular localization and sorting signals. Here, we introduce DeepLoc 2.1, which additionally classifies the input proteins into the membrane protein type...

Academic Publication • Published Jul 5, 2024

The EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024

Abstract The EMBL-EBI Job Dispatcher sequence analysis tools framework (https://www.ebi.ac.uk/jdispatcher) enables the scientific community to perform a diverse range of sequence analyses using popular bioinformatics applications. F...

Academic Publication • Published Jul 5, 2024

MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation

Abstract We introduce MetaboAnalyst version 6.0 as a unified platform for processing, analyzing, and interpreting data from targeted as well as untargeted metabolomics studies using liquid chromatography - mass spectrometry (LC–MS)....

Academic Publication • Published Jul 5, 2024

Deep-PK: deep learning for small molecule pharmacokinetic and toxicity prediction

Abstract Evaluating pharmacokinetic properties of small molecules is considered a key feature in most drug development and high-throughput screening processes. Generally, pharmacokinetics, which represent the fate of drugs in the hu...

Academic Publication • Published Jul 5, 2024

admetSAR3.0: a comprehensive platform for exploration, prediction and optimization of chemical ADMET properties

Abstract Absorption, distribution, metabolism, excretion and toxicity (ADMET) properties play a crucial role in drug discovery and chemical safety assessment. Built on the achievements of admetSAR and its successor, admetSAR2.0, thi...

Academic Publication • Published Jul 5, 2024

ProTox 3.0: a webserver for the prediction of toxicity of chemicals

Abstract Interaction with chemicals, present in drugs, food, environments, and consumer goods, is an integral part of our everyday life. However, depending on the amount and duration, such interactions can also result in adverse eff...

Academic Publication • Published Jul 5, 2024

ChIP-Atlas 3.0: a data-mining suite to explore chromosome architecture together with large-scale regulome data

Abstract ChIP-Atlas (https://chip-atlas.org/) presents a suite of data-mining tools for analyzing epigenomic landscapes, powered by the comprehensive integration of over 376 000 public ChIP-seq, ATAC-seq, DNase-seq and Bisulfite-seq...

Academic Publication • Published Jul 5, 2024

AIUPred: combining energy estimation with deep learning for the enhanced prediction of protein disorder

Abstract Intrinsically disordered proteins and protein regions (IDPs/IDRs) carry out important biological functions without relying on a single well-defined conformation. As these proteins are a challenge to study experimentally, co...