Results 181 to 190 of about 39,852 (262)

Advanced Machine Learning Models for Estimating the Distribution of Sea-Surface Particulate Organic Carbon (POC) Concentrations Using Satellite Remote Sensing Data: The Mediterranean as an Example. [PDF]

Sensors (Basel)
Li C, Wu H, Yang C, Cui L, Ma Z, Wang L.
europepmc   +1 more source

The dynamics of large silicic systems from satellite remote sensing observations: the intriguing case of Domuyo volcano, Argentina. [PDF]

Sci Rep, 2020
Lundgren P, Girona T, Bato MG, Realmuto VJ, Samsonov S, Cardona C, Franco L, Gurrola E, Aivazis M.   +8 more
europepmc   +1 more source

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

Satellite Remote Sensing: A Tool to Support Harmful Algal Bloom Monitoring and Recreational Health Advisories in a California Reservoir. [PDF]

Geohealth
Lopez Barreto BN, Hestir EL, Lee CM, Beutel MW.   +3 more
europepmc   +1 more source

Looking Back and Looking Forward: Thirty Years of Evidence on Strategic HRM Systems and Performance (1995–2025)

Human Resource Management, EarlyView.
ABSTRACT Research on how to leverage high‐performance work systems (HPWS) and other strategic human resource management (HRM) systems to improve performance outcomes has long been a cornerstone of the HRM discipline. This study offers a comprehensive mapping of the field through bibliometric analysis and a thematic synthesis of 3503 peer‐reviewed ...
Xiaoxuan Zhai, Cherrie Jiuhua Zhu, Mingqiong Mike Zhang   +2 more
wiley   +1 more source

Neuromorphic Hardware Materials for Intelligent Artificial Perception and Multimodal Fusion: From Sensing to Cognition

Interdisciplinary Materials, EarlyView.
Neuromorphic hardware enables the integration of sensing, memory, and computing for intelligent artificial perception. Recent advances in multimodal fusion further highlight its potential for embodied intelligence and next‐generation human–machine interfaces.
Yixin Zhu, Yuqing Hu, Changjin Wan, Qing Wan   +3 more
wiley   +1 more source

Technological Evolution in Fintech: A Decadal Scientometric and Systematic Review of Developments and Criticisms

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley   +1 more source

Assessment of spongy moth infestation impacts on forest productivity and carbon loss using the Sentinel-2 satellite remote sensing and eddy covariance flux data. [PDF]

Ecol Process
Hussain N, Gonsamo A, Wang S, Arain MA.
europepmc   +1 more source

Application of geospatial analysis for mapping the distribution of severe maternal morbidities in eastern Ethiopia: The case of the Ethiopian obstetric surveillance system

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Introduction The disparity in maternal mortality and severe morbidity between high‐ and low‐income countries is well established. Previously, we highlighted within‐country disparities in Ethiopia using demographic and health survey data. This study used enhanced obstetric surveillance data to detect subnational hotspot areas and factors ...
Sisay Mulugeta Alemu, Gerd Weitkamp, Marian Knight, Sagni Girma, Mohammed Yuya, Jelle Stekelenburg, Thomas van den Akker, Regien Biesma, Abera Kenay Tura   +8 more
wiley   +1 more source

Enviromics crosstalk between internal and external plant environments for enhanced adaptation and de novo domestication

iMeta, EarlyView.
Climate change demands accelerated plant adaptation and de novo domestication. Yet current enviromics focuses disproportionately on external environments, neglecting internal dynamics—gene expression, metabolic flux, and signal transduction—within predictive envirotyping frameworks.
Lin‐An Zhang, Xuan Dong, Kai Liu, Nicolas Gonzalez, Jose Manuel Estevez, Wen‐Xue Li, Xing Wang Deng, Feng Yu, Yunbi Xu   +8 more
wiley   +1 more source