Results 81 to 90 of about 3,906,695 (223)
An encoder–decoder architecture (EDA) dynamically downscales coarse‐resolution climate fields (0.25°) to high‐resolution outputs (0.05°) over Taiwan, improving the representation of fine‐scale spatial variability and localized extremes by incorporating both rainfall and surface winds to maintain physical consistency.
Yi‐Chi Wang +5 more
wiley +1 more source
MANAJEMEN SANGGAR SENI ETNIKA DAYA SORA (EDAS) DI KOTA BOGOR, JAWA BARAT [PDF]
Penelitian ini berjudul “Manajemen Sanggar Seni Etnika Daya Sora (EDAS) Di Kota Bogor, Jawa Barat” mendeskripsikan tentang segala suatu yang berada di Sanggar Seni Etnika Daya Sora (EDAS) baik itu profil sanggar, pengorganisasian sanggar beserta fungsi ...
Naufal Falah, -
core
Abstract Statistical analysis is a cornerstone of scientific research, yet young researchers in aquatic sciences often struggle when analyses begin without a clearly defined research question or a solid understanding of the data structure. This disconnect between data collection and analytical decision‐making recurrently drives unreliable findings ...
Juline Rodrigues da Conceição +1 more
wiley +1 more source
PARCE: Accurate Inference of Crystal Structure Information From Phonon Vibrational Modes
In this work, we introduce a multidescriptor framework and accuracy‐adaptive ensemble network to classify over 30,000 crystals from phonon and Raman data, achieving > 60% accuracy across diverse structures. Our work reduces reliance on ideal XRD data, enabling automated and large‐scale material structure analysis.
Hongyu Chen +10 more
wiley +1 more source
ABSTRACT Background Perioperative anxiety affects most children undergoing surgery and predicts emergence delirium, postoperative pain, and behavioral change. The validated modified Yale Preoperative Anxiety Scale (mYPAS) is scored at only a few discrete timepoints, leaving physiologic status between assessments unmeasured.
Shawn D. Safford +2 more
wiley +1 more source
Data‐driven emulation of flow‐dependent background‐error variance in variational data assimilation
A machine‐learning approach is developed to emulate flow‐dependent background‐error variance within a variational data assimilation framework. The method reproduces uncertainty information that would normally require a 50‐member ensemble using only five members, while maintaining comparable observation fit and forecast performance.
Wei Pan +3 more
wiley +1 more source
Enhancing the Performance of Maximum-Likelihood Gaussian EDAs Using Anticipated Mean Shift
Estimation-of-Distribution Algorithms (EDAs) are a specific type of Evolutionary Algorithm (EA). EDAs are characterized by the way in which new solutions are generated. The information in all selected solutions is combined at once.
Thierens, D. (Dirk) +5 more
core +2 more sources
Guided by the spectral demand of plant photosystems, this review summarizes the synthesis, emission regulation, dual‐emission design, and gram‐scale production of CDs for agricultural applications. Spectrally matched blue‐ and red‐emissive CDs enhance plant light utilization by converting underutilized light into photosynthetically active radiation and
Yijing Chen +5 more
wiley +1 more source
This review focuses on inorganic and organic matrices that enable aqueous‐stable room‐temperature phosphorescence (RTP) in carbonized polymer dots (CPDs). It explains the underlying RTP mechanisms, highlights how matrix engineering provides spatial confinement and bonding interactions to stabilize triplet excitons in water, and demonstrates key ...
Yuhan Hou +4 more
wiley +1 more source
ABSTRACT The increasing exposure of global supply chains to environmental, social, and operational disruptions has intensified scholarly interest in sustainability and resilience. While these concepts are widely discussed, existing research often addresses them separately, preventing understanding of their combined role in supply chain management.
Mahmut Mollaoglu, Bükra Doganer
wiley +1 more source

