Results 161 to 170 of about 241,500 (289)

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Deep-sea mining discharge can disrupt midwater food webs. [PDF]

Nat Commun
Dowd MH, Assad VE, Cazares-Nuesser AE, Drazen JC, Goetze E, White AE, Popp BN.   +6 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Correction to "Ecological Impacts of Deep-Sea Mining Waste on Marine Algae and Copepod <i>Tigriopus californicus</i>". [PDF]

Environ Sci Technol
Thomson C, Lough AJM, Moorkens J, Liu T, Gunnells SA, Fitzsimmons JN, Steiner Z, Dunlea AG, Woulds C, Homoky WB, Wang M, Tan QG, Liu F.   +12 more
europepmc   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Seamount larval dispersal networks: A potential strategy for conserving ecological connectivity from deep-sea mining. [PDF]

Ecol Appl
Saito N, Kise H, Washburn TW, Ikeuchi E, Iguchi A, Kamoshida H, Suzuki A.   +6 more
europepmc   +1 more source

Ecology of a polymetallic nodule occurrence gradient: Implications for deep-sea mining. [PDF]

Limnol Oceanogr, 2019
Simon-Lledó E, Bett BJ, Huvenne VAI, Schoening T, Benoist NMA, Jones DOB.   +5 more
europepmc   +1 more source

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

Advanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +1 more source

Ecological Impacts of Deep-Sea Mining Waste on Marine Algae and Copepod <i>Tigriopus californicus</i>. [PDF]

Environ Sci Technol
Thomson C, Lough AJM, Moorkens J, Liu T, Gunnells SA, Fitzsimmons JN, Steiner Z, Dunlea AG, Woulds C, Homoky WB, Wang M, Tan QG, Liu F.   +12 more
europepmc   +1 more source