Results 71 to 80 of about 2,485 (226)
Abstract Background The Cyclothymic–Hypersensitive Temperament (CHT) is a multidimensional, transdiagnostic affective disposition characterized by mood instability, interpersonal sensitivity, heightened emotional reactivity and impulsive behaviors. The CHT Questionnaire (CHTQ) currently lacks of normative references and empirically derived thresholds ...
Anna Pezzella +10 more
wiley +1 more source
From Rare to Recurrent: Intensifying Hot–Dry Extremes Across Romania
Romania has undergone a marked shift toward more frequent and spatially extensive compound hot–dry months since the 1990s, with persistent hotspots in the eastern Moldavian Plateau and the lower Danube–Bărăgan–Black Sea lowlands and comparatively buffered conditions at higher elevations.
Viorica Nagavciuc, Monica Ionita
wiley +1 more source
Improved Three-stage Algorithm of Forest Height Retrieval with PolInSAR
Employing Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) data to inverse forest parameters is a hot topic in the research field of PolInSAR. The typical forest parameter inversion algorithm is the three-stage inversion algorithm based on
Xu Li-ying +3 more
doaj +1 more source
We introduce QGeoSEP, a multi‐task learning framework for accurate energetic material property prediction, with competitive performance against mainstream baselines and an accessible online tool for efficient molecular evaluation. ABSTRACT Accurate physicochemical property prediction is critical for the rational design of energetic materials (EMs), yet
Mingchi Gao +6 more
wiley +1 more source
Adaptive Beamforming for Sparse Array Based on Semi-Definite Programming
An adaptive beamforming (ABF) technique for sparse receiving arrays with gain/phase uncertainties is proposed. The basic idea of the proposed method is using the compressed sensing theory to estimate directions and amplitudes of the received signals with
Bin Hu +4 more
doaj +1 more source
CGNEP‐MB‐pol: A Single‐Site Coarse‐Grained Machine Learning Potential for Water
ABSTRACT Coarse‐grained (CG) molecular dynamics (MD) can greatly extend the accessible time and length scales for water, provided that the reduced model captures key structural, dynamical, and thermodynamic properties. Here, we introduce a CG machine learning potential (MLP) for water, named CGNEP‐MB‐pol, which integrates a one‐molecule to one‐bead ...
Ke Xu +7 more
wiley +1 more source
Total least-squares EIO model, algorithms and applications
A functional model named EIO (Errors-In-Observations) is proposed for general TLS (total least-squares) adjustment. The EIO model only considers the correction of the observation vector, but doesn't consider to correct all elements in the design matrix ...
Xingsheng Deng +3 more
doaj +1 more source
ABSTRACT Purpose To determine the feasibility of measuring brain clearance of gadolinium contrast agent using standard intravenous DCE‐MRI acquisitions and evaluate the contribution of blood–brain barrier (BBB) and non‐BBB clearance routes. Methods Uptake and extended Tofts models were fit to DCE‐MRI data from people with Parkinson's disease, post ...
Martin Kozár +8 more
wiley +1 more source
ABSTRACT In this work, we introduce and study the p$$ p $$‐α$$ \alpha $$‐closest‐center problem (pα$$ p\alpha $$CCP), which is a generalization of the p$$ p $$‐second‐center problem, a recently emerged variant of the classical (discrete) p‐center problem.
Elisabeth Gaar +2 more
wiley +1 more source
Different demographic drivers of recovery in two adjacent populations of a long‐lived bird of prey
Understanding the demographic mechanisms underlying population decline or recovery is critical for conservation and management, yet similar population trends may arise from very different underlying processes. Comparing populations of vulnerable species groups like long‐lived raptors in different environments can reveal how species respond to change ...
Carina Nebel +4 more
wiley +1 more source

