Results 21 to 30 of about 298 (140)

Noise Fingerprints as a Quantitative Order Parameter for Polarization‐ and Defect‐Mediated Switching in Hafnia Ferroelectrics

Advanced Science, EarlyView.
Low‐frequency noise fingerprints in hafnia ferroelectrics provide a quantitative handle to resolve the long‐standing debate between polarization‐mediated and defect‐mediated switching. By tuning oxygen vacancy density via ALD O3 dose time and applying a physically constrained deconvolution, we extract bias‐resolved current fractions for both mechanisms
Ryun‐Han Koo, Jiseong Im, Joon Hwang, Sung‐Ho Park, Jonghyun Ko, Kangwook Choi, Sangwoo Ryu, Gyuweon Jung, Jong‐Ho Lee   +8 more
wiley   +1 more source

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

Advanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang, Yiming Xia, Ali Shakiba, Hongrui Zhang, Xiaojing Hao, Priyank V. Kumar, Mahesh P. Suryawanshi   +6 more
wiley   +1 more source

Doctoral Education in Nursing in Ibero‐America: An Analysis of Its Evolution and Perspectives for the Future

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aim To provide an overview of doctoral programs in nursing offered in Ibero‐American countries to inform regional collaboration and academic development. Design This study was a descriptive, document analysis. Methods A systematic mapping was conducted using data obtained from official university and program websites, national postgraduate ...
José Luís Guedes dos Santos, Javier Isidro Rodríguez‐López, Yalena Ortiz‐Anaya, Sandra Milena Aponte Franco, Dolors Rodríguez‐Martín, Paola Galbany‐Estragués, Olga Maria Pimenta Lopes Ribeiro, Thayza Mirela Oliveira Amaral, Alacoque Lorenzini Erdmann, Allison P. Squires   +9 more
wiley   +1 more source

Does the Phillips Curve Lie Down as We Age?

Journal of Money, Credit and Banking, EarlyView.
Abstract Using microlevel data, we present evidence that older individuals are less willing to substitute across varieties of goods. We estimate the elasticity of substitution for different age groups and find that the youngest cohort (aged 25–34) exhibits a higher elasticity of substitution compared to the oldest group (65+).
CHADWICK CURTIS, JULIO GARÍN, ROBERT LESTER   +2 more
wiley   +1 more source

Assessment of Sensitivity and Specificity of Common Sensory Tests in Diagnosing Digital Nerve Lacerations

Muscle &Nerve, Volume 73, Issue 4, Page 559-565, April 2026.
ABSTRACT Introduction/Aims Digital nerve lacerations are common. Current methods employed to differentiate intact and transected digital nerves lack diagnostic accuracy. This may result in patients with intact nerves undergoing unnecessary surgery. The objective of the study was to determine the best diagnostic method for detecting true sensory nerve ...
Joshua N. Wong, Jashan Saini, Matthew W. T. Curran, Jaret L. Olson, Michael J. Morhart, K. Ming Chan   +5 more
wiley   +1 more source

Programmable Microwaveable Chemistry in the Chemputer

Angewandte Chemie, Volume 138, Issue 4, 22 January 2026.
The Chemputer integrates complementary microwave modules under χDL control, enabling fully automated syntheses of O‐alkylation products, Suzuki–Miyaura cross‐couplings, ring‐closing metathesis, and peptide sequences via solid‐phase methods. This modular, programmable platform delivers flexible and scalable microwave‐assisted workflows, broadening ...
Jacopo Zero, Ekaterina Trushina, Niclas Grocholski, Nikita Smirnov, Dean Thomas, Leroy Cronin   +5 more
wiley   +2 more sources

Supervised learning of protein variant effects across large‐scale mutagenesis datasets

Protein Science, Volume 35, Issue 4, April 2026.
Abstract The increasing availability of data from multiplexed assays of variant effects (MAVEs) enables supervised model training against large quantities of experimental data to learn sequence‐function relationships. Variant effect scores from MAVEs can, however, be influenced by the experimental method and library composition, resulting in experiment‐
Thea K. Schulze, Lasse M. Blaabjerg, Matteo Cagiada, Kresten Lindorff‐Larsen   +3 more
wiley   +1 more source

Enhancing Electricity Price Prediction Accuracy With an Attention Mechanism‐LSTM Hybrid Model

Engineering Reports, Volume 8, Issue 3, March 2026.
This study proposes an ATT‐LSTM framework for short‐term electricity price forecasting, integrating meteorological data, historical prices, and system load. With careful preprocessing, feature engineering, and attention mechanisms, the model delivers accurate and interpretable predictions of price volatility.
Huidan Zhuo, Yingya Wang, Shaojie Li, Hongwei Ma, Yun Wang, Runze Li, Guodong Liu   +6 more
wiley   +1 more source

BiGraph‐DTA: Predicting drug–target interactions of hepatoprotective agents with graph convolutional networks

Quantitative Biology, Volume 14, Issue 1, March 2026.
Abstract Predicting drug–target affinity (DTA) is critical for discovering and developing hepatoprotective agents that can prevent and treat liver diseases. In this study, we propose BiGraph‐DTA, a new predictive model for identifying DTA score prediction for hepatoprotective compounds by combining graph convolutional networks and bidirectional long ...
Arief Sartono, Bambang Riyanto Trilaksono, Sophi Damayanti, Anto Satriyo Nugroho, Firdayani Firdayani   +4 more
wiley   +1 more source

Associations between posttraumatic cognitions and cannabis cravings among trauma‐exposed individuals using cannabis

British Journal of Clinical Psychology, Volume 65, Issue 1, Page 250-266, March 2026.
Abstract Objective Trauma‐exposed individuals with posttraumatic stress disorder (PTSD) symptoms are at risk for problematic cannabis use. However, modifiable risk factors associated with cannabis use in this population are less clear. Posttraumatic cognitions (PTC; negative cognitions about the self, self‐blame, and negative cognitions about the world)
Regine M. Deguzman‐Lucero, Jennifer U. Le, Norman B. Schmidt, Nicole A. Short   +3 more
wiley   +1 more source