Results 61 to 70 of about 7,024 (264)
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
This article presents a discussion of the original research reported in the paper by Kayabali et al. (2024) (the Authors) that was recently published in the Bulletin of the Mineral Research and Exploration Vol. 174, pp. 1–10.
Amin Soltani, Brendan O’kelly
doaj +1 more source
Deep Improvement of Fine-Grained Soil Using Lime Piles
In the present study, the effects of lime piles on the geotechnical properties of fine-grained soil have been investigated in details, where the lime piles are used as sustainable deep improvement technique for the shear strength and compressibility of ...
Mahdi O Karkush, Mahmoud S. Abdulkareem
doaj +1 more source
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Stabilizing fine-grained soil by electrically injecting Ca2+, CO32-, and HPO42- ions
This paper presents a new technique that can electrically inject stabilizing ions, which can be used to stabilize soil. Other processes also occur simultaneously during treatment such as electrolysis, dissociation, sorption, and exchange mechanisms, etc.
R M Rustamaji, Eka Priadi
doaj +1 more source
Evaluation of compaction parameters of fine-grained soils using standard and modified efforts
Compaction characteristics of the soil have the great importance for practically achieving the desired strength, permeability and compressibility of soil during the construction.
Usama Khalid, Zia ur Rehman
doaj +1 more source
High‐elevation endemic plants predicted to lose habitat from changing climate in Washington State
Abstract Premise High‐elevation plants face unique challenges from potential climate change impacts that will likely require upslope migration into increasingly smaller suitable habitat. This situation is particularly acute for endemic species that by definition occupy small geographic ranges.
Nicholas L. Gjording +4 more
wiley +1 more source
ABSTRACT Healthcare derived polystyrene waste represents a growing and under addressed fraction of plastic waste streams due to contamination risks and limited recyclability. This study aims to investigate the valorization of waste polystyrene foam through catalytic and noncatalytic pyrolysis pathways to evaluate product yield distribution and identify
Salman Khan +4 more
wiley +1 more source

