Results 161 to 170 of about 3,188,697 (327)
A Multi‐Objective Molecular Generation Method Based on Pareto Algorithm and Monte Carlo Tree Search
Pareto Monte Carlo Tree Search Molecular Generation (PMMG), a molecular generation approach leveraging Monte Carlo Tree Search (MCTS) and Pareto algorithm, efficiently explores the Pareto front in high‐dimensional objective spaces for multi‐objective drug design.
Yifei Liu+12 more
wiley +1 more source
Flowsheet generation through hierarchical reinforcement learning and graph neural networks
Abstract Process synthesis experiences a disruptive transformation accelerated by artificial intelligence. We propose a reinforcement learning algorithm for chemical process design based on a state‐of‐the‐art actor‐critic logic. Our proposed algorithm represents chemical processes as graphs and uses graph convolutional neural networks to learn from ...
Laura Stops+3 more
wiley +1 more source
Hate speech refers to sentences or words that aim to demean or insult individuals, groups, or communities based on factors such as ethnicity, religion, race, or social class. In this study, Natural Language Processing (NLP) techniques were employed using
Nabila Nuraini+2 more
doaj +1 more source
By investigating auditory hyperexcitability in a mouse model for hereditary deafness, this study identified a subpopulation of afferent neurons of the auditory nerve marked by Otogl expression. Despite their apparently normal hearing, Otogl+/− mice display poor activation of afferent neurons processing loud sounds and an elevation of the middle the ear
Mathilde Gagliardini+24 more
wiley +1 more source
The GhWL1‐GhH1‐GhGA2OX1 Transcriptional Module Regulates Cotton Leaf Morphology
This study identified GhWL1 as a key gene involved in regulating leaf development through analysis of a T‐DNA insertion mutant. The GhWL1‐GhH1 complex is shown to positively regulate GhGA2OX1 by directly binding to its promoter, thereby establishing the GhWL1‐GhH1‐GhGA2OX1 module as a critical pathway in leaf development.
Jingjing Zhan+12 more
wiley +1 more source
Effekten av textaugmenteringsstrategier på träffsäkerhet, F1-värde och viktat F1-värde
Att utveckla en sofistikerad chatbotlösning kräver stora mängder textdata för att kunna anpassalösningen till en specifik domän. Att manuellt skapa en komplett uppsättning textdata, specialanpassat för den givna domänen och innehållandes ett stort antal varierande meningar som en människa kan tänkas yttra, är ett enormt tidskrävande arbete.
Svedberg, Jonatan, Shmas, George
openaire +1 more source
The quantum dot integrated real‐time ELISA or QIRT‐ELISA system integrates a bead‐based quantum dot‐mediated immunoassay (BQI) with a modular microfluidic system to continuously monitor insulin and glucagon in whole blood samples and in a multiplexed setting.
Hesam Abouali+7 more
wiley +1 more source
Real-Time Multi-Task Deep Learning Model for Polyp Detection, Characterization, and Size Estimation
While performing a colonoscopy, there are many tasks to be done: finding polyps, classifying them, and deciding the next procedure for the polyps, whether to incise them or not. Such tasks are challenging for fellow doctors.
Phanukorn Sunthornwetchapong+7 more
doaj +1 more source
Researchers develop advanced tools to study grapevine traits like berry quality and stress resilience. A 200K SNP array and high‐throughput phenotyping enable the identification of loci linked to berry shape, sugar content, acidity, and cold tolerance. Functional validation of genes such as NAC08 reveals roles in cold tolerance.
Yuyu Zhang+11 more
wiley +1 more source
This study explores the effectiveness of prompt optimization techniques for legal case outcome extraction using Large Language Models (LLMs). Two state-of-the-art LLMs, LLaMA3 70b and Mixtral 8x7b, are used in a zero-shot data extraction task on a ...
Guillaume Zambrano
doaj +1 more source