A Critical Assessment of Bonding Descriptors for Predicting Materials Properties
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik +6 more
wiley +1 more source
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
A Comparative Study of Early Maladaptive Schema Profiles in Individuals Convicted of Homicide and Individuals from the Community: The Moderating Role of Sex. [PDF]
Rusu RV, Delcea C.
europepmc +1 more source
An integrated OT‐2/plate reader platform automates LCST cloud point measurement of NIPAM‐co‐DMAEMA copolymers across high‐dimensional formulation spaces. Machine learning trained on the resulting high‐throughput datasets achieves R2 up to 0.96 and enables inverse design of polymer formulations to target transition temperatures with <1% error.
Lachlan Alexander +2 more
wiley +1 more source
Elevated ALT correlates with severe liver injury, monocyte infiltration, and Pro-inflammatory immune dysregulation in chronic hepatitis B virus infection. [PDF]
Huang J, Xu N, Liang X, Cai D.
europepmc +1 more source
Information framing and the impact of nutrition label serving size change
Abstract The framing of information can significantly influence how consumers interpret and respond to it. This paper investigates how the change in serving sizes in Nutrition Facts Panel (NFP) affects consumer choices for carbonated soft drinks (CSD). We first estimate a reduced form difference‐in‐differences (DiD) model to document causal effects on ...
Yuxiang Zhang, Yizao Liu, Linlin Fan
wiley +1 more source
Entropy inequalities for some multivariate distributions
In this paper, we derive some monotonicity properties of generalized entropy functionals of various multivariate distributions. These include the distributions of random eigenvalues arising in many hypothesis testing problems in multivariate analysis ...
Peddada, Shyamal Das +1 more
core
Joint Dietary and Gut Microbial Profiling and the Fatty Liver Index in Community-Dwelling Older Japanese: A Cross-Sectional, Hypothesis-Generating Analysis from the Kyotango Longevity Study. [PDF]
Naito Y +11 more
europepmc +1 more source
Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate +4 more
wiley +1 more source
Multivariate linear rank statistics for profile analysis
For some general multivariate linear models, linear rank statistics are used in conjunction with Roy's Union-Intersection Principle to develop some tests for inference on the parameter (vector) when they are subject to certain linear constraints.
Sen, Pranab Kumar, Chinchilli, Vernon M.
core

