Results 151 to 160 of about 11,938,701 (296)

Adaptive radial-based direction sampling; Some flexible and robust Monte Carlo integration methods [PDF]

Adaptive radial-based direction sampling (ARDS) algorithms are specified for Bayesian analysis of models with nonelliptical, possibly, multimodal target distributions.A key step is a radial-based transformation to directions and distances.
Dijk, H.K. van, Bos, C.S., Oest, R.D. van, Bauwens, L.   +3 more
core  

Polydopamine Nanoparticle‐Mediated Precise Near‐Infrared Optical Stimulation for Cognitive Enhancement

Advanced Science, EarlyView.
Polydopamine nanoparticles enable a precise, non‐genetic, and transcranial neuromodulation strategy via near‐infrared photothermal stimulation. By activating TRPV1 channels, this approach specifically enhances hippocampal gamma oscillations, thereby rescuing spatial memory deficits in models of perioperative neurocognitive disorder.
Yan‐Bo Zhou, Qiong Xue, Su‐Xuan Hou, Ke‐Yao Zhang, Wei‐Tong Pan, Ting‐Ting Zeng, Yu‐Ge Wang, Daqing Ma, Chenguang Zhao, Pan‐Miao Liu, Jian‐Jun Yang   +10 more
wiley   +1 more source

Applying Monte Carlo Method for Straight-Line Model Sensor Calibration. [PDF]

Sensors (Basel)
Ramos PM, Janeiro FM.
europepmc   +1 more source

Gap-filling of ocean color over the tropical Indian Ocean using Monte-Carlo method. [PDF]

Sci Rep, 2022
Modi A, Roxy MK, Ghosh S.
europepmc   +1 more source

A Phosphorylation‐Induced Micellization Switch in the Low‐Complexity Domain of TDP‐43

Advanced Science, EarlyView.
Phosphorylation of TAR DNA‐binding protein's 43 kDa (TDP‐43) low‐complexity domain by casein kinase 1 delta (CK1δ) acts as a molecular switch, redirecting its self‐assembly from macroscopic phase separation toward finite‐sized, spherical block‐copolymer micelles of ∼30 nm.
Rodrigo F. Dillenburg, Anastasia Lopatina, Hao Ruan, Tom Scheidt, Simone Mosna, Emre Pekbilir, Julia Bieber, Frank Schäfer‐Depoix, Katharina Landfester, Carla Schmidt, Martin M. Möckel, Svenja Morsbach, Friederike Schmid, Dorothee Dormann, Lukas Stelzl, Martin Girard, Edward A. Lemke   +16 more
wiley   +1 more source

A Quasi-Monte Carlo Method Based on Neural Autoregressive Flow. [PDF]

Entropy (Basel)
Wei Y, Xi W.
europepmc   +1 more source

Seemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method. [PDF]

Heliyon, 2023
Owusu FK, Amoako-Yirenkyi P, Frempong NK, Omari-Sasu AY, Mensah IA, Martin H, Sakyi A.   +6 more
europepmc   +1 more source

Density estimators through Zero Variance Markov Chain Monte Carlo [PDF]

A Markov Chain Monte Carlo method is proposed for the pointwise evaluation of a density whose normalizing constant is not known. This method was introduced in the physics literature by Assaraf et al (2007).
Daniele Imparato, Antonietta Mira
core  

Molecular Dynamics‐Guided Sterol Engineering of mRNA‐Lipid Nanoparticles Reprograms Biodistribution and Enhances Spleen‐Selective Immunity

Advanced Science, EarlyView.
Sterol engineering enables precise control of mRNA lipid nanoparticles by tuning membrane organization. Replacing cholesterol with bile acid‐derived sterols redirects protein expression from the liver to the spleen. Notably, CA‐20 LNP enhances antigen‐specific immune responses while exhibiting a favorable safety profile, highlighting sterols as a ...
Sanghyuk Jeon, Seo‐Hyeon Bae, Jungyong Ji, Jisun Lee, Hosam Choi, Min‐Ho Kang, Sang‐In Park, Hyemin Kim, Nakyung Lee, Hajin Lee, Seonghoon Kim, Jungmin Kim, Subin Yoon, Seonghyun Lee, Seongje Cho, Dahyeon Ha, Ayoung Oh, Sohee Jo, Huijeong Choi, Yeeun Lee, Sowon Lee, Hyo‐Jung Park, Gitak Nam, Jisu Shin, Yujin Kang, Wonpil Im, Kiyoun Lee, Jae‐Hwan Nam   +27 more
wiley   +1 more source

Assessment of Radiation Attenuation Properties in Dental Implants Using Monte Carlo Method. [PDF]

Bioengineering (Basel)
Rasat A, Tunc S, Uncu YA, Ozdogan H.
europepmc   +1 more source