Results 201 to 210 of about 80,890 (284)

Association between vertebral endplate lesions and sagittal spinal alignment: a retrospective imaging analysis in a selected adult patient population. [PDF]

Eur Radiol Exp
Bassani T, Cecchinato R, Pasi S, Pallotta ML, Sconfienza LM, Albano D, Brayda-Bruno M.   +6 more
europepmc   +1 more source

Electrode and Microstructure Dependence of Oxygen Diffusion in Ferroelectric Hafnium Zirconium Oxide Thin Films

Advanced Functional Materials, EarlyView.
Significant nanoscale oxygen diffusion coefficient variations are measured in ferroelectric hafnium zirconium oxide films with grain boundaries and electrode interfaces exhibiting values 104 times larger than the grain cores. Overall coefficients are 10X larger for films prepared with metal nitride electrodes compared to refractory metals. New insights
Liron Shvilberg, Thomas W. Pfeifer, Chuanzhen Zhou, Yong Kyu Choi, Duk‐Hyun Choe, Patrick E. Hopkins, Jon F. Ihlefeld   +6 more
wiley   +1 more source

Genome modelling and design across all domains of life with Evo 2. [PDF]

Nature
Brixi G, Durrant MG, Ku J, Naghipourfar M, Poli M, Sun G, Brockman G, Chang D, Fanton A, Gonzalez GA, King SH, Li DB, Merchant AT, Nguyen E, Ricci-Tam C, Romero DW, Schmok JC, Taghibakhshi A, Vorontsov A, Yang B, Deng M, Gorton L, Nguyen N, Wang NK, Pearce MT, Simon E, Adams E, Amador ZJ, Ashley EA, Baccus SA, Dai H, Dillmann S, Ermon S, Guo D, Herschl MH, Ilango R, Janik K, Lu AX, Mehta R, Mofrad MRK, Ng MY, Pannu J, Ré C, St John J, Sullivan J, Tey J, Viggiano B, Zhu K, Zynda G, Balsam D, Collison P, Costa AB, Hernandez-Boussard T, Ho E, Liu MY, McGrath T, Powell K, Pinglay S, Burke DP, Goodarzi H, Hsu PD, Hie BL.   +61 more
europepmc   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

LANTERN: TCR-peptide binding prediction <i>via</i> large language model representations. [PDF]

PeerJ
Qi C, Fang H, Jiang S, Hu T, Wei Z.
europepmc   +1 more source

Monotonicity of Sequences Involving Convex and Concave Functions [PDF]

, 2002
Qi, Feng, Cerone, Pietro, Dragomir, Sever S, Chao-Ping Chen, Chen, Chao-Ping, Feng Qi, Pietro Cerone, Sever Silvestru Dragomir   +7 more
core   +1 more source

Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies

Advanced Functional Materials, EarlyView.
The P and U pulses in the conventional PUND measurements are not identical because of the interplay between switching current and the measurement circuit components. This circuit effect can lead to a shift in polarization transients and misinterpreted physics in the switching kinetics.
Yi Liang, Pat Kezer, John T. Heron
wiley   +1 more source

5G/6G Networks for Wireless Communication and IoT. [PDF]

Sensors (Basel)
Suraci C, Araniti G.
europepmc   +1 more source

Graded‐Interface Dual‐Environment Hydrogel‐Polymer Electrolyte for Stabilized Anode and Sustained Cathode Kinetics in Aqueous Zinc‐Ion Batteries

Advanced Functional Materials, EarlyView.
A graded‐interface hydrogel‐polymer electrolyte decouples water activity to simultaneously stabilize the Zn anode and sustain cathode kinetics. The flexible design supports dendrite‐free cycling over 1600 h, high capacity in both MnO2 and V2O5 full cells, and stable pouch‐cell performance under bending, resolving the fundamental water conflict in ...
Shuyun Wang, Shengmei Chen, Xinyu Wang, Haipeng Wang, Jinsong Zhou, Ka Kiu Keith Cheung, Yiran Ying, Longtao Ma, Juan Antonio Zapien   +8 more
wiley   +1 more source

Machine Learning-Driven Simulations of the SARS-CoV-2 Fitness Landscape from Deep Mutational Scanning Experiments. [PDF]

J Chem Inf Model
Durumeric AEP, McCarty S, Smith J, Köhler J, Elez K, Raich L, Suriana PA, Sztain T.   +7 more
europepmc   +1 more source