Alexander Soldatov

Smart Interfaces for Circulating Tumor Cell Capture, Release, and On-Chip Analysis: From Principles to Clinical Translation

Nutan Kumar Shukla, Daria A. Kirichenko, Tatiana N. Zamay, Natalia A. Luzan et autres

ru, in, ir, ca, us (code pays fourni par la source)

Targeted isolation of circulating tumor cells (CTCs) using aptamer-functionalized biofilms integrated within a microfluidic chip

Nutan Shukla, Alexander D. Zagrebaev, D.Yu. Molodtsov, Али Маннаа et autres

ru, in (code pays fourni par la source)

DeepFit: Physically and Chemically Informed XAS-Structure Fitting Made Simple

Kirill Kulaev, Bogdan O. Protsenko, W. P. Cheng, Q. L. Liu et autres

conditions but faces ill-posed challenges, with high computational costs and ambiguous solutions. DeepFit pioneers a universal deep learning remedy, deploying a differentiable minimization of both a spectral mismatch and quantum-chemical energy. The model is based on an E(3)-equivariant neural network trained on …

ru, cn, cz, by (code pays fourni par la source)

Toward Customization of Pickering Emulsion Nanocarriers for Personalized Delivery of Therapeutics in Cancer Treatments: A Review

Nutan Kumar Shukla, Aayushi Chanderiya, Ratnesh Das, Supriya Vyas et autres

The rapid advancement in nanotechnology over the past three decades has accelerated the development of novel and more potent cancer treatments. In particular, this has led to the development of an increasing number of novel carrier systems for drug delivery, among which …

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Advancements in Targeted Quantum Dots Structures for Enhanced Cancer Treatment

Nutan Kumar Shukla, Carmen Jansen de Cárdenas, Aayushi Chanderiya, Oleg Evgenevich Polozhentsev et autres

Quantum dots (QDs) have emerged as promising nanomaterials in cancer therapeutics owing to their tunable optical properties, versatile surface functionalization, and potential for simultaneous imaging and drug delivery. This review focuses on targeted quantum dots (TQDs), highlighting their role in overcoming the …

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Fingerprint Analysis of X-Ray Absorption Spectra of Catalysts: From Linear Combination Fit to Machine-Learning Trained on Multielement Experimental Library

Bogdan O. Protsenko, Yuya Kakiuchi, Sergey Alexandrovich Guda, David J. Trummer et autres

X-ray absorption near edge structure (XANES) spectroscopy is a powerful method to probe the oxidation state and local structure of metals in catalytic materials. However, it suffers from the lack of unbiased data analysis protocols. Machine learning (ML) overcomes human-related factors by …

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Pervaporation Membranes Based on Polyelectrolyte Complex of Sodium Alginate/Polyethyleneimine Modified with Graphene Oxide for Ethanol Dehydration

Mariia Dmitrenko, Olga Mikhailovskaya, Roman Dubovenko, Anna I. Kuzminova et autres

Pervaporation is considered the most promising technology for dehydration of bioalcohols, attracting increasing attention as a renewable energy source. In this regard, the development of stable and effective membranes is required. In this study, highly efficient membranes for the enhanced pervaporation dehydration …

ru (code pays fourni par la source)

Transferring hydroformylation reaction into high-pressure gas–liquid microfluidic systems: Key achievements and perspectives

Dmitry N. Gorbunov, Maria V. Nenasheva, Grigory Shashkin, В. В. Шаповалов et autres

ru (code pays fourni par la source)