Results 211 to 220 of about 492,581 (337)

Using Extreme Value Statistics to Reconceptualize Psychopathology as Extreme Deviations From a Normative Reference Model. [PDF]

Hum Brain Mapp
Fraza C, Zabihi M, Beckmann CF, Marquand AF.   +3 more
europepmc   +1 more source

Unpaired Learning‐Enabled Nanotube Identification from AFM Images

Advanced Science, EarlyView.
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na, Soobin Park, Younsu Jung, Jinhwa Park, Jimin Hong, Jihyun Lee, Albert Kim, Bongjun Kim, Gyoujin Cho, Eunju Cha, Seung Hyun Song   +10 more
wiley   +1 more source

Extreme value theory and copulas: generalized extreme value distribution and trivariate gneralized archimedean copulas

, 2006
Viola, Márcio Luis Lanfredi, 1978-
openalex   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source

Advancing wind energy potential estimation through multidistribution wind speed analysis in coastal Pakistan. [PDF]

Sci Rep
Abbas G, Ali A, Mushtaq Z, Rehman AU, Hussen S, Hamam H.   +5 more
europepmc   +1 more source

Estimating changes of temperatures and precipitation extremes in India using the Generalized Extreme Value (GEV) distribution

, 2018
P. Kishore, I. Velicogna, Tyler Sutterley, Yara Mohajerani, E. Ciracì, Jyothi Sompalli, Vijaya Bhaskara Rao Saranga   +6 more
openalex   +1 more source

Intercalation‐Induced Phase Transitions in Ferroelectric α‐In2Se3

Advanced Science, EarlyView.
Using the electrolyte gating technique, the van der Waals ferroelectric semiconductor α‐In2Se3 undergoes a series of transitions from a ferroelectric semiconductor to a dirty metal and finally to a metal, accompanied by a structural transformation. Concurrently, the ferroelectric hysteresis window progressively narrows and eventually disappears with ...
Xin He, Zhihao Gong, Tao Wang, Baoyu Wang, Chen Liu, Ding Wang, Yinchang Ma, Pu Feng, Chenhui Zhang, Weijin Hu, Kai Liu, Hua Wang, Xixiang Zhang   +12 more
wiley   +1 more source

Carnot and Joule Cycles Implied in Generalized Entropy and Exergy Properties as Fundamentals of Extrema Principles. [PDF]

Entropy (Basel)
Palazzo P.
europepmc   +1 more source

scPER: A Rigorous Computational Approach to Determine Cellular Subtypes in Tumors Aligned With Cancer Phenotypes From Total RNA Sequencing

Advanced Science, EarlyView.
scPER presents an adversarial‐autoencoder framework that deconvolves bulk total RNA‐seq to quantify tumor‐microenvironment cell types and uncover phenotype‐linked subclusters. Across diverse benchmarks, scPER improves accuracy over existing tools.
Bingrui Li, Xiaobo Zhou, Raghu Kalluri
wiley   +1 more source

Climate-driven flood hazard assessment in data-scarce mountainous basins using a GIS-based machine learning and hydrodynamic modelling under CMIP6 SSP scenarios. [PDF]

Sci Rep
Khan S, Khan AU, Alodah A, Azeem A, Waqas M, Nahas F, Rebouh NY, Youssef YM.   +7 more
europepmc   +1 more source