Results 211 to 220 of about 237,222 (291)

Fully autonomous tuning of a spin qubit. [PDF]

Nat Electron
Schuff J, Carballido MJ, Kotzagiannidis M, Calvo JC, Caselli M, Rawling J, Craig DL, van Straaten B, Severin B, Fedele F, Svab S, Chevalier Kwon P, Eggli RS, Patlatiuk T, Korda N, Zumbühl DM, Ares N.   +16 more
europepmc   +1 more source

Decoding epilepsy's molecular blueprint: Machine learning unravels transcriptomic subtypes and regulatory networks

Epilepsia, EarlyView.
Abstract Objective Drug‐resistant epilepsy (DRE) affects approximately one‐third of patients with epilepsy. The molecular heterogeneity underlying DRE remains poorly defined, largely due to limited access to resected brain tissue and substantial genetic diversity.
Yanping Weng, Yu Ma, Wanwan Hou, Haibo Li, Yuanfeng Zhou, Rui Zhao, Hao Li, Lian Chen, Yangyang Ma, Li Jin, Yi Wang, Yu An   +11 more
wiley   +1 more source

Investigation of Hyperfine Interactions in Molecular Spin Qubits Constructed from A Nitronyl-Nitroxide Ligand and Transition Metal Ions. [PDF]

Inorg Chem
Martins DOTA, Spinu CA, Sheveleva A, Hillebrand M, Tuna F, Andruh M.   +5 more
europepmc   +1 more source

Biofluid‐specific variations in circulating 5′ transfer RNA fragments during ictal and interictal states in experimental temporal lobe epilepsy

Epilepsia, EarlyView.
Abstract Objective Circulating small noncoding RNAs represent potential biomarkers of temporal lobe epilepsy (TLE). Recently, two transfer RNA fragments (tRFs), 5′tRF Glu‐CTC and Gly‐GCC, were found to be elevated in plasma samples collected in advance of a seizure in TLE patients, suggesting they may serve as potential wet biomarkers of seizure risk ...
Marie Soukupova, Elena Perez Morrissey, Annunziata Guarino, Pietro Marino, Cristiana Pareo, Nicolò Birtolo, Saad Zaheer, Rachel Stewart, Ina Woods, Felix Rosenow, Hajo Hamer, Péter Körtvélyessy, Shona Pfeiffer, David C. Henshall, Jochen H. M. Prehn, Michele Simonato   +15 more
wiley   +1 more source

Fast superconducting qubit control with subharmonic drives. [PDF]

Nat Commun
Xia M, Zhou C, Liu C, Patel P, Cao X, Lu P, Mesits B, Mucci M, Gorski D, Pekker D, Hatridge M.   +10 more
europepmc   +1 more source

Transcriptomic signatures reveal systemic adaptations and immune modulation in response to training and competitive racing in horses

Equine Veterinary Journal, EarlyView.
Abstract Background The molecular mechanisms underlying adaptation to physical exertion and racing stress in horses remain incompletely understood. Peripheral blood transcriptomics offers a minimally invasive method to monitor systemic responses to exercise and identify biomarkers of adaptation or overload. Objectives To evaluate transcriptomic changes
Izabela Dąbrowska, Jowita Grzędzicka‐Agko, Paula Kiełbik, Michał Trela, Olga Witkowska‐Piłaszewicz   +4 more
wiley   +1 more source

Nonclassical features of an open qubit cavity QED system. [PDF]

Sci Rep
Manan A, Rahman AU, Arian Zad H, Ali H, Ali A, Al-Kuwari S, Haddadi S.   +6 more
europepmc   +1 more source

Vaginal host–microbe signatures linked to placental outcomes in mares

Equine Veterinary Journal, EarlyView.
Abstract Background Ascending placentitis is a leading cause of late‐term pregnancy loss in mares. Although pathogens are presumed to ascend from the caudal reproductive tract, the association between the vaginal microbiome and placentitis has not been systematically examined.
Machteld van Heule, Babiche Heil, Jamie K. Norris, Kristene Gedye, Xiaoxiao Lin, Ward De Spiegelaere, Peter Daels, Pouya Dini   +7 more
wiley   +1 more source

Enlarging Quantum Coherence of Vanadyl Spin Qubits in Zirconium Porphyrinic MOFs. [PDF]

Inorg Chem
Vujević L, Talajić G, MacMillan F, Popov AA, Kveder M, Karadeniz B, Užarević K, Žilić D.   +7 more
europepmc   +1 more source

Polygenic risk score and prostate specific antigen predict death from prostate cancer in men with intermediate aggressive cancer

International Journal of Cancer, EarlyView.
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago, Efthymios Ladoukakis, Dorota Scibior‐Bentkowska, Belinda Nedjai   +3 more
wiley   +1 more source