Results 111 to 120 of about 35,058 (267)

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

The Dynamics of Stock Market Participation

SSRN Electronic Journal
We document novel facts on the exit and reentry margins of stock market participation by retail investors using detailed administrative data on every Norwegian resident from 1993 to 2016. Contrary to the conventional view that individuals either never or always participate in the stock market, we find that many households leave the stock market within ...
Galaasen, Sigurd Mølster, Raja, Akash
openaire   +4 more sources

Reconstruction of Ultrafine MnS‐Induced Vacancy‐Rich Co9S6.29 Precatalysts in Mesoporous S‐Doped N‐Rich Hollow Carbon Nanotubes Enables Dynamic O‐Vacancy Cycling for High‐Performance Zn‐Air Batteries

Advanced Science, EarlyView.
We develop vacancy‐rich Co9S6.29 precatalysts formed via ultrafine MnS‐induced lattice distortion in mesoporous S‐doped N‐rich hollow carbon nanotubes (CM@SNHCTs). This CM@SNHCT precatalyst is reconstructed into catalytically‐active cathode phases that enable efficient oxygen reduction/evolution reactions (ORR/OER) through dynamic O‐vacancy formation ...
Debarani Devi Khumujam, Saleem Sidra, Ram Babu Ghising, Dong Won Kim, Jong Hui Choi, Gwanho Lee, Benzhi Wang, Hyung Mo Jeong, Sang‐Il Choi, Do Hwan Kim, Jeung Ku Kang   +10 more
wiley   +1 more source

Hyperpolarization of [1‐13C]Ketoisocaproate‐d2 by Reversible Exchange with Parahydrogen Enables Profiling of Branched‐Chain‐Amino‐Acid Metabolism in Cellulo and in Vivo

Advanced Science, EarlyView.
We report the fast generation of biocompatible solutions of highly 13C‐hyperpolarized (≈11%) partially‐deuterated ketoisocaproate within <6 min using spin‐lock‐induced crossing and reversible exchange with parahydrogen (SLIC‐SABRE). This enables rapid detection of branched‐chain‐amino‐acid transferase 1 (BCAT1) protein expression and investigation of ...
Stefan Petersen, Philipp R. Groß, Paul M. Schmidt, Henri de Maissin, Asitan Rittinger, Robert Willing, Adriana Sacristán‐Martín, Lisa Heß, Jule Koch, Sebastian Lucas, Maxim Zaitsev, Dominik von Elverfeldt, Martin Grashei, Franz Schilling, Jan‐Bernd Hövener, André F. Martins, Max von Delius, Thomas Reinheckel, Andreas B. Schmidt   +18 more
wiley   +1 more source

A Machine Vision‐Guided Microphysiological Platform With Automated Microfluidics Enables Longitudinal Biomarker Monitoring and Emulation of Translationally Relevant Exposure Scenarios

Advanced Science, EarlyView.
A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen, Yi Zhong, Laura Dangel, Sonia Youhanna, Reza Zandi Shafagh, Jinhye Ryu, Domnica‐Gabriela Gurau, Mathias Haag, Thomas E. Mürdter, Yingxin Liang, Iro Beligiani, Nicole Ziegler, Sabine Willems, Nayere Taebnia, Wouter van der Wijngaart, Volker M. Lauschke   +15 more
wiley   +1 more source

Non‐Noble Metal Nanocatalysts for Hydrogen Evolution

Advanced Science, EarlyView.
Recent overviews and latest developments of diverse classes of non‐noble catalysts for application toward high‐performance photocatalysis, thermocatalytic steam reforming, and electrocatalysis. Toward sustainability objectives, several advanced characterization tools in combination with the latest breakthroughs in machine learning for material ...
Lina Jaya Diguna, Gede Herry Arum Wijaya, Md Abdul Kuddus Sheikh, Tobias Haposan, Fidelis Stefanus Hubertson Simanjuntak, Arramel Arramel, Muhammad Danang Birowosuto, Konstantin Sergeevich Novoselov   +7 more
wiley   +1 more source

Multi‐tissue Metabolic GWAS and Drought‐Responsive Multi‐omics Reveal the Genetic Basis of the Quinoa Metabolome

Advanced Science, EarlyView.
A multi‐omics framework combining multitissue genome‐wide association studies, metabolomics, transcriptomics, proteomics, and functional validation uncovers the genetic basis of specialized metabolism in quinoa. The study identifies hundreds of metabolite‐associated loci, prioritizes candidate genes for saponin, betalain, and flavonoid biosynthesis ...
Julia von Steimker, Elodie L. Rey, Clara Stanschewski, Regina Wendenburg, Annabella Klemmer, Markéta Macho, Venkatesh P. Thirumalaikumar, Noha O. Saber, Aleksandra Skirycz, Alisdair R. Fernie, Mark Tester, Saleh Alseekh   +11 more
wiley   +1 more source

Network-Constrained Energy Consumption Game for Dynamic Pricing Markets

CSEE Journal of Power and Energy Systems, 2022
Yifei Wang, Xiuli Wang, Yi Kuang, Qiao Peng, Hongyang Zhao, Zhidong Wang   +5 more
doaj   +1 more source

Promoting Electroreduction CO2 to Multi‐Carbon Products by Tailoring the *H Availability With Optimized Interfacial H2O Configuration

Advanced Science, EarlyView.
A catalysis system with adjustable interfacial H2O configuration was conducted by introducing ionomer into Cu. The increasing proportion of K+‐H2O can enhance the dissociation of H2O and improve the generation ability of *H, and the increasing proportion of 4‐HB‐H2O can accelerate the transfer speed of *H to *CO intermediates with the aid of strong ...
Dawei Zhou, Songhu Bi, Jie Zhang, Jinghui Deng, Keyi Xu, Lin Xia   +5 more
wiley   +1 more source

From Chatbots to Co‐Scientists: The Impact of Knowledge‐Generating AI (AI 4.0) on Healthcare and Research

Advanced Science, EarlyView.
This perspective contrasts the historical, linear progression of early AI with the dynamic, iterative nature of AI 4.0; and it describes the real‐world medical applications and the necessary evolution of laboratory infrastructure brought about by AI 4.0.
Weida Liu, Gary Peltz
wiley   +1 more source