Results 101 to 110 of about 389,492 (241)

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Testing a global null hypothesis using ensemble machine learning methods. [PDF]

Stat Med, 2022
Han S, Fong Y, Huang Y.
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Sexual reproduction is the null hypothesis for life cycles of rust fungi. [PDF]

PLoS Pathog, 2022
McTaggart AR, James TY, Idnurm A, Park RF, Shuey LS, Demers MNK, Aime MC.   +6 more
europepmc   +1 more source

Pulsed Laser‐Assisted Phase Engineering of Multimetallic Colloidal Nanocrystals With Complex Compositions

Advanced Materials, EarlyView.
The engineering of colloidal nanocrystals with complex compositions has emerged as a highly active area of research within nanomaterials science. This review covers key aspects of colloidal solid‐solution nanocrystal formation using pulsed laser irradiation.
Marina T. Candela, Sergio Triviño‐Sánchez, Andrés Guerrero‐Martínez, Luis M. Liz‐Marzán, Guillermo González‐Rubio   +4 more
wiley   +1 more source

Cerebrovascular Pressure Reactivity Measures: Index Comparison and Clinical Outcome in Patients With Traumatic Brain Injury Treated According to an Intracranial Pressure-Focused Management: Rejection of the Null Hypothesis. [PDF]

Neurotrauma Rep, 2023
Risinger Liljegren A, Brorsson C, Karlsson M, Koskinen LD, Sundström N.   +4 more
europepmc   +1 more source

Nuclear Pore Mechanotransduction in Oncology: A Structural Axis of Vulnerability for Targeted Intervention

Advanced Materials, EarlyView.
Cancer‐associated NPC remodeling creates a high‐flux, low‐stringency nuclear state that supports malignant adaptation but increases mechanical fragility. Targeting the FG‐barrier or NPC scaffold may drive mechanostat failure, envelope rupture, DNA damage, and loss of nuclear integrity.
Sílvio Terra Stefanello, Caren Rigon Mizdal, Aline Franzen da Silva, Yun Qian, Wei‐En Yuan, Victor Shahin   +5 more
wiley   +1 more source

COMPARATIVE ANALYSIS OF THE WATER QUALITY AT MUREȘ RIVER BASIN BASED ON MEASURED PARAMETERS AND WATER POLLUTION INDEX

Scientific Study & Research: Chemistry & Chemical Engineering, Biotechnology, Food Industry
The present study focuses on monitoring water quality in the Mureș River basin, analyzing three sections (Săvârșin, Arad, Nădlac) from 2017 to 2020. Key parameters such as pH, electrical conductivity, dissolved oxygen (DO), chemical and biochemical ...
ELENA-VIOLETA BLIDAR , SIMONA GAVRILAȘ, CLAUDIU-ȘTEFAN URSACHI , SIMONA PERȚA-CRIȘAN, FLORENTINA-DANIELA MUNTEANU   +4 more
doaj  

An approach to nonparametric inference on the causal dose–response function

Journal of Causal Inference
The causal dose–response curve is commonly selected as the statistical parameter of interest in studies where the goal is to understand the effect of a continuous exposure on an outcome.
Hudson Aaron, Geng Elvin H., Odeny Thomas A., Bukusi Elizabeth A., Petersen Maya L., van der Laan Mark J.   +5 more
doaj   +1 more source

Regression-Equivalent Effect Sizes for Latent Growth Modeling and Associated Null Hypothesis Significance Tests. [PDF]

Struct Equ Modeling, 2023
Feingold A.
europepmc   +1 more source