Precise Capture and Dynamic Release of Circulating Liver Cancer Cells with Dual‐Histidine‐Based Cell Imprinted Hydrogels

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(27)

Published: April 24, 2024

Abstract Circulating tumor cells (CTCs) detection presents significant advantages in diagnosing liver cancer due to its noninvasiveness, real‐time monitoring, and dynamic tracking. However, the clinical application of CTCs‐based diagnosis is largely limited by challenges capturing low‐abundance CTCs within a complex blood environment while ensuring them alive. Here, an ultrastrong ligand, l ‐histidine– ‐histidine (HH), specifically targeting sialylated glycans on surface CTCs, designed. Furthermore, HH integrated into cell‐imprinted polymer, constructing hydrogel with precise imprinting, high elasticity, satisfactory compatibility, robust anti‐interference capacities. These features endow excellent capture efficiency (>95%) for peripheral blood, as well ability release controllably Clinical tests substantiate accurate differentiation between cancer, cirrhosis, healthy groups using this method. The remarkable diagnostic accuracy (94%), lossless material reversibility, cost‐effectiveness ($6.68 per sample) make HH‐based potentially revolutionary technology single‐cell analysis.

Language: Английский

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Laterally gated ferroelectric field effect transistor (LG-FeFET) using α-In2Se3 for stacked in-memory computing array

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Oct. 25, 2023

Abstract In-memory computing is an attractive alternative for handling data-intensive tasks as it employs parallel processing without the need data transfer. Nevertheless, necessitates a high-density memory array to effectively manage large volumes. Here, we present stacked ferroelectric comprised of laterally gated field-effect transistors (LG-FeFETs). The interlocking effect α-In 2 Se 3 utilized regulate channel conductance. Our study examined distinctive characteristics LG-FeFET, such notably wide window, effective switching, long retention time (over × 10 4 seconds), and high endurance 5 cycles). This device also well-suited implementing vertically structures because decreasing its height can help mitigate challenges associated with integration process. We devised 3D structure using LG-FeFET verified feasibility by performing multiply-accumulate (MAC) operations in two-tier configuration.

Language: Английский

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Review of Emerging Atomically Precise Composite Site‐Based Electrocatalysts

Advanced Energy Materials, Journal Year: 2023, Volume and Issue: 13(37)

Published: Aug. 6, 2023

Abstract Atomically precise composite site‐based catalysts with new electrocatalytic synergistic mechanisms and enhanced activities have emerged as a frontier in the electrocatalysis community. This topical review focuses on recent research advances of atomically metal sites‐based electrocatalysts. work first demonstrates an overview configurations sites, including discussion advanced methods employed for understanding sites. The then provides comprehensive organization previously reported methodologies synthesizing electrocatalysts Representative case studies are provided, starting from simple one‐step pyrolysis strategy to species‐by‐species multi‐step strategy. Based preceding discussions catalyst materials, further discusses unique raised by that different routine single species systems mainly involve oxygen reduction reaction, evolution hydrogen nitrogen carbon dioxide reaction. themes this section include true active center determination sites various types synergy mechanisms. Finally, critical unanswered questions remaining challenges, well promising underexplored directions identified.

Language: Английский

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Nonvolatile resistive switching memory behavior of the TiOx-based memristor

Chemical Physics, Journal Year: 2024, Volume and Issue: 580, P. 112217 - 112217

Published: Feb. 2, 2024

Language: Английский

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Glass Waste Circular Economy - Advancing to High-Value Glass Sheets Recovery using Industry 4.0 and 5.0 technologies

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 462, P. 142629 - 142629

Published: May 20, 2024

Due to the ongoing development of urban infrastructure and higher living standards, waste glass has become a significant component municipal solid that cannot be disregarded. To address this issue, researchers have been looking for sustainable solutions establish Circular Economy best practices full value chain products made glass, particularly from high-quality sheets. Unfortunately, most is either dumped in landfills or recycled an open-loop manner, due its diverse composition low volume. However, with advent Industry 4.0 5.0 technologies, including machine-to-machine communication, artificial intelligence, Internet Things, collaborative robots, dynamic life cycle assessment, advanced remanufacturing techniques, it could now possible characterize recover end-of-life sheets like chemically strengthened glasses, e.g. used smartphone screens, real time smart factories use other high-tech applications. Such can economically produce on-demand batch-size 1 products, marking fundamental transition conventional recycling methods solution. This paper delves into integration technologies research potential contributions 5.0, addressing societal implications. It also introduces intelligent method assess optimize lifespan screen suggesting reuse solutions.

Language: Английский

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The recent advances in the approach of artificial intelligence (AI) towards drug discovery

Frontiers in Chemistry, Journal Year: 2024, Volume and Issue: 12

Published: May 31, 2024

Artificial intelligence (AI) has recently emerged as a unique developmental influence that is playing an important role in the development of medicine. The AI medium showing potential unprecedented advancements truth and efficiency. intersection to revolutionize drug discovery. However, also limitations experts should be aware these data access ethical issues. use techniques for discovery applications increased considerably over past few years, including combinatorial QSAR QSPR, virtual screening,

Language: Английский

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Boron-induced microstructural manipulation of titanium and titanium alloys in additive manufacturing

Virtual and Physical Prototyping, Journal Year: 2023, Volume and Issue: 18(1)

Published: Aug. 30, 2023

While the role of boron (B) has been thoroughly clarified in titanium (Ti) castings, microstructural changes triggered additive manufacturing (AM) are still subject debate literature. Many contributions have confirmed B-induced refinement Ti-based AM parts. The formation TiB matrix composites (TMCs) may increase strength. In some cases, B also promote columnar-to-equiaxed transition, thus mitigating anisotropic effects associated with strong epitaxial growth unidirectional columnar grains typical AM. However, as critically discussed this review, pitfalls remain. Due to fast cooling, evolution deviate from equilibrium, leading a shift Ti-B eutectic point and out-of-equilibrium phases. Additionally, undermine ductility crack propagation resistance parts, which calls for appropriate remediation strategies.

Language: Английский

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From Experimental Values to Predictive Models: Machine Learning‐Driven Energy Level Determination in Organic Semiconductors

Advanced Energy Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Abstract The precise determination of ionization energy (IE) and electron affinity (EA) is crucial for the development optimization organic semiconductors (OSCs). These parameters directly impact performance electronic devices. Experimental techniques to measure IE EA, such as UV photoelectron spectroscopy (UPS) low‐energy inverse (LE‐IPES), are accurate but resource‐intensive limited by their availability. Computational approaches, while beneficial, often rely on gas‐phase calculations that fail capture solid‐state phenomena, leading discrepancies in practical applications. In this work, machine learning methods used develop a chained model estimating EA values. By implementing transfer strategy, challenge experimental data effectively addressed, utilizing large database intermediate properties enhance training. efficacy demonstrated through its achieving mean absolute errors 0.13 0.14 eV respectively. has also been tested an external validation dataset comprising newly measured molecules. findings highlight potential OSC research, significantly enhancing property accessibility accelerating molecular design discovery.

Language: Английский

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Artificial intelligence artificial muscle of dielectric elastomers

Materials & Design, Journal Year: 2025, Volume and Issue: unknown, P. 113691 - 113691

Published: Feb. 1, 2025

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Demonstration of NiCo as an Alternative Metal for Post-Cu Interconnects

ACS Nano, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 12, 2025

Copper (Cu) is currently the dominant interconnect material in back-end-of-line processes due to its low bulk resistivity (ρ0). Unfortunately, increases significantly at small dimensions a long electron mean free path (EMFP, λ) of 39 nm, which leads enhanced scattering grain boundaries and surfaces, thereby limiting high-density integration. In this study, we demonstrate that single-phase hexagonal-close-packed (HCP) nickel–cobalt (NiCo) alloy thin films exhibit reduced size effect, outperforming Cu for thicknesses below 8 nm (19.83 μΩ·cm 4.9 nm). First-principles calculations predicted lower ρ0·λ 5.68 × 10–16 Ω m2 HCP NiCo (xx) than (6.73 m2), significant contribution from short EMFP approximately 5 alloy. To date, growth film had not been achieved, as both face-centered-cubic (FCC) phases coexist Co concentration 50–80 atom %. However, were successfully grown by using an seed layer, lattice mismatch with sapphire (0001) substrate. Moreover, can be dry etched, providing advantage device fabrication, since it does require damascene process unlike Cu. The also exhibited high thermal stability above 500 °C. Therefore, considered promising alternative overcome scaling limitations interconnects.

Language: Английский

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