Statistical Inference for a Two-Stage Adaptive Seamless Design Using Different Binary Endpoints. [PDF]
Ishii R, Takahashi K, Maruo K, Gosho M.
europepmc +1 more source
A lack of standard approaches for testing and reporting the performance of metal halide perovskites and organic semiconductor radiation detectors has resulted in inconsistent interpretation of performance parameters, impeding progress in the field. This Perspective recommends key metrics and experimental details, which are suggested for reporting in ...
Jessie A. Posar+8 more
wiley +1 more source
Ascertainment Conditional Maximum Likelihood for Continuous Outcome Under Two-Phase Response-Selective Design. [PDF]
Amorim G+4 more
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This study examines the surface characteristics of AlInP (001), crucial for advanced solar cells and photoelectrochemical devices. Using theoretical modeling and experiments, it identifies how phosphorus‐rich and indium‐rich surfaces create mid‐gap states that pin the Fermi level and influence ultrafast electron dynamics.
Mohammad Amin Zare Pour+11 more
wiley +1 more source
Prognostic adjustment with efficient estimators to unbiasedly leverage historical data in randomized trials. [PDF]
Liao LD+3 more
europepmc +1 more source
Machine learning, bias correction and plug-in estimators for an accurate microlevel reserving [PDF]
Olivier Lopez, Xavier Milhaud
openalex
Gate‐Tunable Hole Transport in In‐Plane Ge Nanowires by V‐Groove Confined Selective Epitaxy
Ge nanowires are promising for hole spin‐based quantum processors, requiring direct integration onto Si wafers. This work introduces V‐groove‐confined selective epitaxy for in‐plane nanowire growth on Si. Structural and low‐temperature transport measurements confirm their high crystalline quality, gate‐tunable hole densities, and mobility.
Santhanu Panikar Ramanandan+11 more
wiley +1 more source
A new auxiliary variables-based estimator for population distribution function under stratified random sampling and non-response. [PDF]
Ahmad S+6 more
europepmc +1 more source
Self‐organized Criticality in Neuromorphic Nanowire Networks With Tunable and Local Dynamics
Memristive nanowire networks (NWNs) are shown to be electrically tunable to a critical state where specific local dynamics evaluated by multiterminal characterization are exploited as feature selection in nonlinear transformation (NLT) tasks.
Fabio Michieletti+3 more
wiley +1 more source
Parametric Estimation of the Mean Number of Events in the Presence of Competing Risks. [PDF]
Entrop JP+5 more
europepmc +1 more source