Results 111 to 120 of about 6,309 (244)

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

Steroidal saponin concentrations in Brachiaria decumbens and B. brizantha at different developmental stages Concentrações de saponina esteroidal em diferentes fases do desenvolvimento de Brachiaria decumbens e B. brizantha

open access: yesCiência Rural, 2009
Brachiaria species contain steroidal saponins and are involved in outbreaks of hepatogenous photosensitization. This research presents the levels of a steroidal saponin, protodioscin, in the seeds and aerial parts of B. brizantha and B.
Karine Bonucielli Brum   +5 more
doaj  

Engineering Tertiary Lymphoid Structures: Nanomedicine, Bioengineering, and Biomaterials for Precision Immunotherapy

open access: yesAdvanced NanoBiomed Research, EarlyView.
This review explains how biomaterials and nanoparticles can be used to induce or modulate tertiary lymphoid structures (TLSs), which are ectopic immune hubs that form in nonlymphoid tissues during chronic disease and cancer. By comparing different methods, the article highlights design principles for modeling TLSs or recapitulating specific TLS ...
Shaza Karaman, Mei ElGindi, Jeremy Teo
wiley   +1 more source

Nanomaterial‐Mediated Near‐Infrared Photothermal Neuromodulation for Neurologic Disorders

open access: yesAdvanced NanoBiomed Research, EarlyView.
This review summarizes how near‐infrared light activates photothermal nanomaterials to enable noninvasive neuromodulation with high spatiotemporal precision. It elucidates the underlying mechanisms, explores targeted therapeutic applications for neurological disorders, discusses integration with optogenetics and biosensors, and addresses future ...
Ting‐Ting Zeng   +9 more
wiley   +1 more source

Dibenzazepine Bridged Network Polymeric Phthalocyanines as Degradable Heterogeneous Photocatalysts

open access: yesAngewandte Chemie International Edition, EarlyView.
Dibenzazepine photodynamic bridge has been introduced to zinc and cobalt networks phthalocyanines (NP‐Pcs) to obtain degradable heterogeneous photocatalysts. For the first time, light irradiation plays a key role in “design, use and degradation” of NP‐Pcs.
Erem Ahmetali   +4 more
wiley   +1 more source

Mechanistic Insights Into Photocatalytic Materials for Toxic Pollutants: Environmental Remediation of Personal Care Products

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Photocatalytic materials have emerged as promising solutions for environmental applications due to their ability to degrade organic pollutants under sunlight or artificial light. In this review, recent progress on the photocatalytic materials used for the degradation of pharmaceutical personal care products (PPCPs) in environmental ...
Urvashi Sen   +5 more
wiley   +1 more source

Bridging the Gap: Integrating Energy Management with Moisture‐Electric Energy Harvesting

open access: yesAdvanced Physics Research, EarlyView.
This review explores energy management strategies that have been successfully applied in other energy harvesting systems, with the aim of adapting such strategies for MEG applications. Through analysis, learning, and adaptation of these existing systems, it is possible to help MEGs achieve more stable electrical output and accelerate their real‐world ...
Zhongliang Zhang   +2 more
wiley   +1 more source

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