Results 191 to 200 of about 73,532 (292)

Current Knowledge on the Use of Computational Toxicology in Hazard Assessment of Metallic Engineered Nanomaterials. [PDF]

Int J Mol Sci, 2017
Chen G, Peijnenburg W, Xiao Y, Vijver MG.   +3 more
europepmc   +1 more source

A Comprehensive Review of Adsorbents for Rare Earth Separation: Design, Synthesis, Adsorption Performance, and Mechanisms

Rare Metals, EarlyView.
ABSTRACT Rare earth elements (REEs) play an irreplaceable role in modern technology and industry. However, due to the highly similar physicochemical properties among REEs, their separation remains a significant challenge. Additionally, REEs often exist in low‐concentration solutions, making efficient REE recovery an urgent task.
Miao‐Miao Huang, Jun Tan, Liu‐Yin Xia, Kai Han, Hong‐Yan Cai, Xin Ma, Shuai Wang   +6 more
wiley   +1 more source

NNI Nanoinformatics Conference 2023: Movement Toward a Common Infrastructure for Federal nanoEHS Data Computational Toxicology: Short Communication. [PDF]

Comput Toxicol
Mortensen HM, Amos JD, Exner TE, Flores K, Harper S, Jarabek AM, Klaessig F, Lobaskin V, Lynch I, Marcum CS, Martens M, Brough B, Spadola Q, Bjorkland R.   +13 more
europepmc   +1 more source

Advances in Elemene Nanodelivery Systems: From Material Design to Disease Treatment

Rare Metals, EarlyView.
ABSTRACT Elemene (ELE) is a bioactive sesquiterpenoid extracted from traditional Chinese herbs, demonstrating broad‐spectrum antitumor, anti‐inflammatory, and analgesic properties with significant therapeutic potential. However, its clinical utility is constrained by inherent physicochemical limitations, including volatility and hydrophobicity, which ...
Xiao Wang, Jiatong Lin, Yi Peng, Zehua Wu, Yingying Liu, Wei Duan, Qiaolin Wei, Jia‐Wei Shen, Jiang‐Xing Chen, Yong Guo   +9 more
wiley   +1 more source

Ionic‐Liquid‐Assisted Synthesis of NiTe/CoTe Heterostructure With Te Vacancies in N, P, and F Co‐Doped Hollow Carbon Nanorods for Efficient Alkaline Hydrogen Evolution and High‐Performance Flexible Supercapacitors

Rare Metals, EarlyView.
ABSTRACT Low conductivity, slow ion‐diffusion, and limited reactive sites are common problems in electrocatalysts and electrode materials. In this study, a complex NiTe–CoTe heterojunction with abundant Te vacancies embedded in N, P, and F co‐doped hollow carbon nanorods (NiTe1−x–CoTe1−x/NPFC) was fabricated via a simple ionic liquid‐assisted ...
Mingjie Yi, Shuanghui Lv, Leqian Chu, Song Lei, Lijun Lin, Jianhui Huang, Hao Wang, Jiaheng Zhang   +7 more
wiley   +1 more source

Toxicity assessment of four pharmaceuticals in aquatic environment before and after ferrate(VI) treatment [PDF]

, 2018
Jiang, Jia-Qian, Patibandla, Srinath, Shu, Xinhua   +2 more
core   +1 more source

From Membrane Composition to Antimicrobial Strategies: Experimental and Computational Approaches to AMP Design and Selectivity

Small, EarlyView.
Antimicrobial peptides (AMPs) are promising candidates for next‐generation antibiotics, acting through mechanisms such as membrane disruption and intracellular targeting. This review examines how variations in bacterial membrane composition critically influence AMP activity.
Paolo Rossetti, Marius F.W. Trollmann, Christina Wichmann, Thomas Gutsmann, Christian Eggeling, Rainer A. Böckmann   +5 more
wiley   +1 more source

Editorial: Leveraging artificial intelligence and open science for toxicological risk assessment

Frontiers in Toxicology
Marc Teunis, Thomas Luechtefeld, Thomas Hartung, Thomas Hartung   +3 more
doaj   +1 more source

Machine Learning on Systematically Curated Data Reveals Key Determinants of Magnetic Hyperthermia Performance

Small, EarlyView.
This study presents a machine‐learning (ML) framework to predict the specific absorption rate (SAR) of superparamagnetic iron oxide nanoparticles (SPIONs) for magnetic hyperthermia. A curated dataset comprising 30 intrinsic and extrinsic features revealed strong nonlinear dependencies.
Edgar Régulo Vega‐Carrasco, Shaquib Rahman Ansari, Jiaxi Zhao, Yael del Carmen Suárez‐López, Per Larsson, Alexandra Teleki   +5 more
wiley   +1 more source

Correction to: Computational toxicology in drug discovery: applications of artificial intelligence in ADMET and toxicity prediction. [PDF]

Brief Bioinform
europepmc   +1 more source