Photoswitchable TRPC6 channel activators evoke distinct channel kinetics reflecting different gating behaviors.

The non-selective 6 (TRPC6) cation channels have several physiological and pathophysiological effects. They are activated by the lipid second messenger diacylglycerol (DAG) and by non-lipidic compounds such as GSK 1702934A (GSK). Advances in photopharmacology led to the development of photoswitchable activators such as PhoDAG, OptoDArG, and OptoBI-1 that can be switched ON and OFF with the spatiotemporal precision of light.

"I do not hear you!": hearing-impaired cancer patients report their communication experiences.

Purpose: Hearing impairment has a high impact on communication between cancer patients and their oncologists. What is the patient's perspective on this problem and how can physicians draw lessons from it?

Methods: Together with otorhinolaryngologists and hearing-impaired patients, we developed a questionnaire including the sections: WHO (Five) Well-Being Index (5 items), Abbreviated Profile of Hearing Aid Benefit (APHAB) as established self-estimation of hearing function (24 items), use of hearing aid (4 items) as well as patients' experiences (15 items), difficulties (9 items) and wishes (7 items) regarding the communication with physicians. The experiences, difficulties, wishes, and life satisfaction of cancer patients were analyzed between groups based on participants' APHAB scores, well-being and use of hearing aids.

Extractable Work, the Role of Correlations, and Asymptotic Freedom in Quantum Batteries.

We investigate a quantum battery made of N two-level systems, which is charged by an optical mode via an energy-conserving interaction. We quantify the fraction of energy stored in the battery that can be extracted in order to perform thermodynamic work. We first demonstrate that this quantity is highly reduced by the presence of correlations between the charger and the battery or between the subsystems composing the battery.

Probabilistic low-rank factorization accelerates tensor network simulations of critical quantum many-body ground states.

We provide evidence that randomized low-rank factorization is a powerful tool for the determination of the ground-state properties of low-dimensional lattice Hamiltonians through tensor network techniques. In particular, we show that randomized matrix factorization outperforms truncated singular value decomposition based on state-of-the-art deterministic routines in time-evolving block decimation (TEBD)- and density matrix renormalization group (DMRG)-style simulations, even when the system under study gets close to a phase transition: We report linear speedups in the bond or local dimension of up to 24 times in quasi-two-dimensional cylindrical systems.