Results 71 to 80 of about 1,024,956 (306)

Enriched Soil Organic Carbon Underpins Long‐Term Stable Crop Productivity Across China's Croplands

Advanced Science, EarlyView.
Quantifying the nonlinear relationships and causal effects of soil organic carbon (SOC) on crop stability reveals specific critical thresholds and saturation points. This partitions the national SOC spectrum into three functional phases. Integrating these spatial delineations with high‐resolution maps of marginal gains pinpoints regions with the ...
Yuyang Huang, Yulin Shangguan, Zhongkui Luo, Peng Zhu, David Makowski, Zhenzhong Zeng, Qingxu Ma, Min Wei, Yuanyuan Du, Su Ye, Zhou Shi, Songchao Chen   +11 more
wiley   +1 more source

Functional Forecasting of Seasonality

Korean Journal of Applied Statistics, 2015
Abstract It is important to improve the forecasting accuracy of one-year-ahead seasonal factors in order to produceseasonally adjusted series of the following year. In this paper, seasonal factors of 8 monthly Korean eco-nomic time series are examined and forecast based on the functional principal component regression.
openaire   +2 more sources

Gradient‐Oxidized Bacterial Cellulose for Self‐Sustained Soil Moisture Sensing

Advanced Science, EarlyView.
An asymmetric encapsulated bacterial cellulose device integrates a gradient‐oxidized BC framework with a LiCl‐doped Ecoflex hygroscopic layer, enabling self‐powered soil moisture monitoring through directional ion transport. The device sustains stable hydrovoltaic output, supports deep‐learning humidity classification, and fully biodegrades in soil ...
Nan Zhou, Jing Li, Xiang Xu, Senyuan Ye, Bin Chen, Shuang Wu, Duo Xu, Keshuai Liu, Chong Gao, Weilin Xu, Can Ge   +10 more
wiley   +1 more source

Forecasting seasonal UK consumption components [PDF]

, 1997
Periodic models for seasonal data allow the parameters of the model to vary across the different seasons. This paper uses the components of UK consumption to see whether the periodic autoregressive (PAR) model yields more accurate forecasts than non ...
Smith, Jeremy, Clements, Michael P.
core  

Steps Toward Vitrification and Banking of Coral Larvae Using Field‐Friendly Cryomesh Technology

Advanced Science, EarlyView.
Cryomesh enables a low‐tech cryopreservation method, adding a valuable option to the coral reef conservation toolkit. The approach reveals how size, toxicity, and developmental stage govern larval survival, while modeling links cooling and rewarming rates to a theoretical upper volume limit.
E. Michael Henley, Jonathan Daly, Claire Lager, Nikolas Zuchowicz, Riley Perry, Jaylyn Oka, Mariko Quinn, Zongqi Guo, Maria Victoria Grosso‐Becerra, Frania Valdez Felix, Anastazia T. Banaszak, Christian R.A. Lippens, Kristen L. Marhaver, Emily Jane Williams, Keri O'Neil, Mary Hagedorn   +15 more
wiley   +1 more source

Modeling Positive Seasonal Time Series with Dynamic Precision: The Generalized BPSARMA Model

Forecasting
This paper proposes a generalized seasonal beta prime autoregressive moving average model with dynamic precision, denoted by BPSARMA, for modeling and forecasting positive-valued seasonal time series. The proposed framework extends the generalized BPARMA
Kleber H. Santos, Francisco Cribari-Neto
doaj   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

An interpretable machine learning model for seasonal precipitation forecasting

Communications Earth & Environment
Seasonal climate forecasting is important for societal welfare, as it supports decision-makers in taking proactive steps to mitigate risks from adverse climate conditions or to take advantage of favorable ones.
Enzo Pinheiro, Taha B. M. J. Ouarda
doaj   +1 more source

Research progresses and prospects of catchment hydrological forecasting driven by global climate forecasts

Shui kexue jinzhan
Global climate models and emerging artificial intelligence models generate big climate forecasts data for catchment hydrological forecasting at daily, sub-seasonal and seasonal timescales.
Tongtiegang ZHAO, Chi ZHANG, Yu TIAN, Yu LI, Zexin CHEN, Xiaohong CHEN   +5 more
doaj   +1 more source

Application of Seasonal ARIMA Model in Forecasting the Exchange Rate: Taking RMB to USD as an Example [PDF]

SHS Web of Conferences
Forecasting exchange rate is very profitable and crucial. Realizing the forecasting of the exchange rate means that personal investors can do arbitrage; For the policy makers, it means that they can optimize their fiscal policy and monetary policy.
Liao Mingrui
doaj   +1 more source