Results 181 to 190 of about 1,720,153 (304)

Adaptive algorithm utilizing acceptance rate for eliminating noisy epochs in block-design functional near-infrared spectroscopy data: application to study in attention deficit/hyperactivity disorder children [PDF]

, 2018
Stephanie Sutoko, Yukifumi Monden, Tsukasa Funane   +2 more
openalex   +1 more source

Day/night variations of myeloid and lymphoid cell subsets in the murine inguinal lymph node

FEBS Open Bio, EarlyView.
The circadian system is involved in the temporal regulation of the immune system. Our study reveals that two innate immune populations, NKT cells and neutrophils, predominate at the beginning of the day in healthy mice, highlighting how the time of day influences immune responses.
Paula M. Wagner, César G. Prucca, Lucia Boffelli, Virginia A. Piqueras, Silvia G. Correa, Mariana Maccioni, Mario E. Guido   +6 more
wiley   +1 more source

Rate-Adaptive Information Reconciliation for CV-QKD Systems at Low Signal-to-Noise Ratios. [PDF]

Entropy (Basel)
Fu H, Dai J, Feng Y, Hai H, Ge H, Huang P, Jiang XQ.   +6 more
europepmc   +1 more source

ESBO: CANCER CLASSIFICATION IN MICROARRAY DATA USING SBO ALGORITHM WITH SELF-ADAPTIVE EMISSION RATE

, 2019
R. Balamurugan, N. Narayanan Prasanth, WI Suresh Kumar   +2 more
openalex   +1 more source

ATG4B is required for mTORC1‐mediated anabolic activity and is associated with clinical outcomes in non‐small cell lung cancer

FEBS Open Bio, EarlyView.
The relationship between anabolic and catabolic processes governing lung cancer cell growth is nuanced. We show that ATG4B, an autophagy regulator, is elevated in lung cancer and that high ATG4B is associated with worse patient outcomes. Targeting ATG4B in cells reduces growth, protein synthesis, and mTORC1 activity, demonstrating a new relationship ...
Patrick J. Ryan, Bethany C. Guerra, Selina Uranga, Jessica M. Cardin, Steven E. Riechman, Mariana Janini Gomes, James D. Fluckey   +6 more
wiley   +1 more source

Adaptive Feeding Robot With Multisensor Feedback and Predictive Control Using Autoregressive Integrated Moving Average-Feed-Forward Neural Network: Simulation Study. [PDF]

JMIR Form Res
Sadeghi-Esfahlani S, Mohaghegh V, Sanaei A, Bilal Z, Arthur N, Shirvani H.   +5 more
europepmc   +1 more source

Evolutionary dynamics of the chloroplast genome in Daphne (Thymelaeaceae): comparative analysis with related genera and insights into phylogenetics

FEBS Open Bio, EarlyView.
Comparative analysis of chloroplast genomes from 14 genera of Thymelaeaceae revealed variation in gene content, ranging from 128 to 142 genes, primarily influenced by IR expansion/contraction events and pseudogenization of ndhF, ndhI, and ndhG. Two large inversions were detected within the large single‐copy region, including a synapomorphic inversion ...
Abdullah, Hui Li, Rushan Yan, Chengyu Chen, Madiha Islam, Abdul Majid, Ibrar Ahmed, Parviz Heidari, Xiaoxuan Tian   +8 more
wiley   +1 more source

Adaptive designs for trials aiming to optimise implementation strategies and the effect of an additional interim analysis: a simulation study. [PDF]

BMC Med Res Methodol
Nolan E, Barker D, Holliday E, Dizon J, Hall A, Oldmeadow C.   +5 more
europepmc   +1 more source

Some issues in enabling technologies for high data rate reliable wireless communications: OFDM and adaptive ARQ

, 2001
Hlaing Minn
openalex   +1 more source

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

FEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman, Jessica Haines, Connie Pritchard, Stephen Rutherford, Nigel Francis   +4 more
wiley   +1 more source