Results 201 to 210 of about 3,746,451 (299)

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

Advanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi, Lauren N. Walters, Amalie E. Trewartha, Steven B. Torrisi, Amanda Volk, Liam Joyce, Gerbrand Ceder, Anubhav Jain   +7 more
wiley   +1 more source

Unveiling postpartum PTSD: predicting risk factors using decision trees and logistic regression in Chinese women. [PDF]

BMC Psychiatry
Nie XF, Xu LL, Guo WP, Li JH, Cheng L, Zhang TT, Li JY.   +6 more
europepmc   +1 more source

The Plant‐to‐Plant Circular Strategy: Coupling Photodegradation and Phytoremediation With Plant‐Based Nanomaterials for Plastic Degradation

Advanced Science, EarlyView.
Plant‐based nanomaterials derived from alfalfa serve as dual‐function catalysts, coupling photodegradation and phytoremediation to degrade polyethylene under UV‐A light and in soil. The nanomaterials work synergistically with alfalfa and soil microbes, achieving efficient plastic breakdown without trophic transfer.
Haoran Liu, Lena Ciric, Yuheng Wang, Ziru Pei, Manpreet Bhatti   +4 more
wiley   +1 more source

Comprehensive Experimental Analysis of the Effect of Drilled Material on Torque Using Machine Learning Decision Trees. [PDF]

Materials (Basel)
Hnátik J, Fulemová J, Sklenička J, Gombár M, Vagaská A, Sýkora J, Lukáš A.   +6 more
europepmc   +1 more source

Stochastic Entanglement of Deterministic Origami Tentacles For Robust Robotic Grasping

Advanced Science, EarlyView.
This study introduces an origami tentacle gripper to robustly grasp objects‐in air, underwater, and even in orbital space‐by exploiting a synergy between local, deterministic deformation programming and global, stochastic entanglements. A single origami tentacle can be designed to coil with a simple tendon pull.
Alec Boron, Bokun Zheng, Ziyang Zhou, Noel Naughton, Suyi Li   +4 more
wiley   +1 more source

Diagnosis model for gastric submucosal tumor based on multiple decision trees comprising endoscopic and endoscopic ultrasonography features. [PDF]

BMC Gastroenterol
Su S, Wu SY, Tang YH, Ren LL, Yin F, Xu YS, Li XY, Liu H, Zhang SH, Zhang XL, Tian ZB, Mao T.   +11 more
europepmc   +1 more source

Artificial Intelligence‐Guided Phenotypic Drug Repurposing Against Streptococcus pneumoniae

Advanced Science, EarlyView.
Integrated artificial intelligence (AI) ensembles identify highly potent repurposed drugs against Streptococcus pneumoniae. Prospective virtual screening of 6747 drugs uncovers nine active candidates, including thiostrepton. This drug exhibits low picomolar potency and bypasses established resistance in multidrug‐resistant strains, demonstrating an ...
Joshua S. Fitch, Muhammad D. Ariadi, Min Jung Kwun, Leonie Howells, Saiveth Hernandez‐Hernandez, Nicholas J. Croucher, Pedro J. Ballester   +6 more
wiley   +1 more source

TED1 Promotes the Assembly of SCFD3‐D14‐D53 to Reinforce Strigolactone Signaling in Rice

Advanced Science, EarlyView.
This study identifies TED1 as a positive regulator of strigolactones (SL) signaling in rice. The ted1 mutants display dwarfism and increased tillering with significantly reduced SLs sensitivity. Through its longer C‐terminal region, TED1 interacts with D53 and D14 to promote the assembly of SCFD3‐D14‐D53, thereby facilitating the efficient ...
Sheng Luo, Chuanyin Wu, Miao Feng, Wenfan Luo, Rong Miao, Jinsheng Qian, Fan Wang, Chunlei Zhou, Bojuan Liu, Jiale Shao, Ziqi Xun, Yehui Xiong, Zhichao Zhao, Cailin Lei, Shanshan Zhu, Yulong Ren, Xin Wang, Xiuping Guo, Haiyang Wang, Zichao Li, Zhijun Cheng, Qibing Lin, Jianmin Wan   +22 more
wiley   +1 more source

Integrating Decision Trees and Clustering for Efficient Optimization of Bioink Rheology and 3D Bioprinted Construct Microenvironments. [PDF]

J Manuf Sci Eng
Limon SM, Sarah R, Habib A.
europepmc   +1 more source

Machine Learning‐Driven Design of Multicomponent Bone Inorganic Matrix Mimicking Scaffolds for Osteogenesis Enhanced by Neurogenesis

Advanced Science, EarlyView.
Schematic illustration of development of experimental datasets and algorithm models, screening and preparation of the scaffolds and their applications in vivo. ABSTRACT Bone defects require materials with osteogenic, neurogenic, and angiogenic activity, yet designing such materials within high‐dimensional compositional spaces remains challenging. Here,
Kunlu Lin, Ying Yang, Chuyao Zhou, Hanyue Mao, Zhiquan Zhang, Libangxi Liu, Xiaoying Yu, Haoming Liu, Long Liu, Xiaoyan Wang   +9 more
wiley   +1 more source