Barium titanate nanoparticles used as second harmonic radiation imaging probes for cell imaging

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Gd3+-Functionalized Lithium Niobate Nanoparticles for Dual Multiphoton and Magnetic Resonance Bioimaging

Sandrine Gerber, Anne-Sophie Chauvin, Luigi Bonacina, Marinella Mazzanti, Katarzyna Pierzchala, Raphaël Jovita De Matos, Dario Diviani, Jérémy Vuilleumier, Adrian Stefan Gheata, Ileana Ozana Jelescu, Laura Camille Louise Nicolle, Fiorella Lucarini

Harmonic nanoparticles (HNPs) have emerged as appealing exogenous probes for optical bioimaging due to their distinctive features such as long-term photostability and spectral flexibility, allowing multiphoton excitation in the classical (NIR-I) and extend ...

2022

Time-resolved physical spectrum in cavity quantum electrodynamics

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The time-resolved physical spectrum of luminescence is theoretically studied for a standard cavity quantum electrodynamics system. In contrast to the power spectrum for the steady state, the correlation functions up to the present time are crucial for the ...

AMER PHYSICAL SOC2022

Linear Electro-optic Effect in Silicon Nitride Waveguides Enabled by Electric-Field Poling

Camille Sophie Brès, Anton Stroganov, Edgars Nitiss, Boris Zabelich

Stoichiometric silicon nitride (Si3N4) is one of the most mature integrated photonic platforms for linear and nonlinear optical applications on-chip. However, because it is a centrosymmetric material, second-order nonlinear processes are inherently not ava ...

2022

Electric-field poling of silicon nitride waveguides for the linear phase modulation

Camille Sophie Brès, Anton Stroganov, Edgars Nitiss, Boris Zabelich

Stoichiometric silicon nitride (Si3N4) constitutes a mature platform for integrated photonics. Its pertinent properties, including wide transparency window from the visible to the mid-IR, low propagation loss, and high third-order nonlinearity, are exploit ...

SPIE-INT SOC OPTICAL ENGINEERING2022

Sonomyographic Prosthetic Interacion: Online Simultaneous and Proportional Control of Wrist and Hand Motions Using Semisupervised Learning

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Human hands play a very important role in daily object manipulation. Current prosthetic hands are capable of mimicking most functions of the human hand, but how to interact with prosthetic hands based on human intentions remains an open problem. In this ar ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Key factors determining the presence of Tree-related Microhabitats: A synthesis of potential factors at site, stand and tree scales, with perspectives for further research

Rita Bütler Sauvain

Tree-related microhabitats (TreMs) have been identified as key features for forest-dwelling taxa and are often employed as measures for biodiversity conservation in integrative forest management. However, managing forests to ensure an uninterrupted resourc ...

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A universal co-solvent dilution strategy enables facile and cost-effective fabrication of perovskite photovoltaics

Michael Graetzel, Shaik Mohammed Zakeeruddin, Ursula Röthlisberger, Ulf Anders Hagfeldt, Sandy Sanchez Alonso, Narges Yaghoobi Nia, Linfeng Pan, Paramvir Ahlawat, Viacheslav Bolnykh, Dan Ren, Masaud Hassan S Almalki, Hong Zhang, Anurag Krishna, Tzu-Sen Su

Cost management and toxic waste generation are two key issues that must be addressed before the commercialization of perovskite optoelectronic devices. We report a ground-breaking strategy for eco-friendly and cost-effective fabrication of highly efficient ...

Nature Research2022

Tandem effect of Ag@C@Cu catalysts enhances ethanol selectivity for electrochemical CO2 reduction in flow reactors

Thi Ha My Pham, Andreas Züttel, Wen Luo, Jie Zhang, Mo Li, Youngdon Ko, Cedric David Koolen, Liping Zhong

CO-selective metals (e.g., Ag) on Cu catalysts improve the selec-tivity of multi-carbon (C2+) products in electrochemical CO2 reduc-tion. However, the origin of the improvement remains unclear due to the convolution of tandem and interface effects. Here, A ...

ELSEVIER2022

Single-Chain Nanoparticles for Intracellular Drug Delivery

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Single-chain nanoparticles (SCNPs) are a type of polymeric nanoparticles formed by collapsing/folding individual polymer chains via intra-molecular interactions. Their emergence holds promise to construct sub-20 nm polymeric nanoparticles with defined stru ...

EPFL2022

Analysis and Improvements of the Sender Keys Protocol for Group Messaging

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Messaging between two parties and in the group setting has enjoyed widespread attention both in practice, and, more recently, from the cryptographic community. One of the main challenges in the area is constructing secure (end-to- end encrypted) and effici ...

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ECCE: Entity-centric Corpus Exploration Using Contextual Implicit Networks

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In the Digital Age, the analysis and exploration of unstructured document collections is of central importance to members of investigative professions, whether they might be scholars, journalists, paralegals, or analysts. In many of their domains, entities ...

ACM Digital Press2022

Re-focusing explainability in medicine

Using artificial intelligence to improve patient care is a cutting-edge methodology, but its implementation in clinical routine has been limited due to significant concerns about understanding its behavior. One major barrier is the explainability dilemma a ...

2022

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