Results 31 to 40 of about 29,239,112 (356)

Soil erosion modelling: A global review and statistical analysis

Science of the Total Environment, 2020
To gain a better understanding of the global application of soil erosion prediction models, we comprehensively reviewed relevant peer-reviewed research literature on soil-erosion modelling published between 1994 and 2017.
P. Borrelli, C. Alewell, P. Alvarez, J. A. Anache, J. Baartman, C. Ballabio, N. Bezak, M. Biddoccu, A. Cerdà, D. Chalise, Songchao Chen, Walter W. Chen, A. De Girolamo, G. D. Gessesse, D. Deumlich, N. Diodato, N. Efthimiou, G. Erpul, P. Fiener, M. Freppaz, F. Gentile, A. Gericke, Nigussie Haregeweyn, Bifeng Hu, A. Jeanneau, K. Kaffas, Mahboobeh Kiani-Harchegani, Iván Lizaga Villuendas, Changjia Li, L. Lombardo, M. López‐Vicente, M. Lucas‐Borja, M. Märker, Francis Matthews, C. Miao, M. Mikoš, S. Modugno, M. Möller, V. Naipal, M. Nearing, S. Owusu, D. Panday, E. Patault, C. Patriche, L. Poggio, Raquel Portes, L. Quijano, M. Rahdari, Mohammed Renima, G. Ricci, J. Rodrigo‐Comino, S. Saia, A. N. Samani, C. Schillaci, V. Syrris, H. Kim, D. Spinola, P. S. Oliveira, Hongfen Teng, R. Thapa, K. Vantas, Diana C. S. Vieira, Jae E. Yang, S. Yin, D. Zema, Guangju Zhao, P. Panagos   +66 more
semanticscholar   +1 more source

Adaptive Differential Privacy Cox-MLP Model Based on Federated Learning

Mathematics
In the data-driven healthcare sector, balancing privacy protection and model performance is critical. This paper enhances accuracy and reliability in survival analysis by integrating differential privacy, deep learning, and the Cox proportional hazards ...
Jie Niu, Runqi He, Qiyao Zhou, Wenjing Li, Ruxian Jiang, Huimin Li, Dan Chen   +6 more
doaj   +1 more source

Geographic variation in walking activity in the red flour beetle Tribolium castaneum

Population Ecology, EarlyView.
This study examined whether there is geographic variation in field populations, focusing on the moving activity in the red flour beetle Tribolium castaneum. Results showed significant differences in moving activity among field populations but no correlation with latitude or meteorological factors.
Kentarou Matsumura
wiley   +1 more source

Prediction of metal ion ligand binding residues by adding disorder value and propensity factors based on deep learning algorithm

Frontiers in Genetics, 2022
Proteins need to interact with different ligands to perform their functions. Among the ligands, the metal ion is a major ligand. At present, the prediction of protein metal ion ligand binding residues is a challenge. In this study, we selected Zn2+, Cu2+,
Sixi Hao, Sixi Hao, Xiuzhen Hu, Xiuzhen Hu, Zhenxing Feng, Zhenxing Feng, Kai Sun, Kai Sun, Xiaoxiao You, Xiaoxiao You, Ziyang Wang, Ziyang Wang, Caiyun Yang, Caiyun Yang   +13 more
doaj   +1 more source

occumb: An R package for site occupancy modeling of eDNA metabarcoding data

Population Ecology, EarlyView.
This study introduces a new R package, occumb, for the convenient application of site occupancy modeling using environmental DNA (eDNA) metabarcoding data. We outline a data analysis workflow, including data setup, model fitting, model assessment, and comparison of potential study settings based on model predictions, all of which can be performed using
Keiichi Fukaya, Yuta Hasebe
wiley   +1 more source

Inverse Optimal and Asymptotically Stable Adaptive Consensus Control of Multi-Agent Systems Based on H∞ Control Criterion

SICE Journal of Control, Measurement, and System Integration, 2017
Design methods of asymptotically stable adaptive consensus control of multi-agent systems composed of the first-order and the second-order regression models are presented based on inverse optimal control criterion.
Yoshihiko Miyasato
doaj   +1 more source

Recognition of Metal Ion Ligand-Binding Residues by Adding Correlation Features and Propensity Factors

Frontiers in Genetics, 2022
The realization of many protein functions is inseparable from the interaction with ligands; in particular, the combination of protein and metal ion ligands performs an important biological function.
Shuang Xu, Shuang Xu, Xiuzhen Hu, Xiuzhen Hu, Zhenxing Feng, Zhenxing Feng, Jing Pang, Jing Pang, Kai Sun, Kai Sun, Xiaoxiao You, Xiaoxiao You, Ziyang Wang, Ziyang Wang   +13 more
doaj   +1 more source

Social context prevents heat hormetic effects against mutagens during fish development

FEBS Letters, EarlyView.
This study shows that sublethal heat stress protects fish embryos against ultraviolet radiation, a concept known as ‘hormesis’. However, chemical stress transmission between fish embryos negates this protective effect. By providing evidence for the mechanistic molecular basis of heat stress hormesis and interindividual stress communication, this study ...
Lauric Feugere, Claudio Silva De Freitas, Adam Bates, Kenneth B. Storey, Pedro Beltran‐Alvarez, Katharina C. Wollenberg Valero   +5 more
wiley   +1 more source

Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling

IEEE Access
Federated learning that is an approach to addressing the “data silo” problem in a collaborative fashion may face the risk of data leakage in real-world contexts.
Yi Chen, Dan Chen, Niansheng Tang
doaj   +1 more source

Inverse Optimal Adaptive H8 Consensus Control of Multi-Agent Systems on Directed Network Graphs

SICE Journal of Control, Measurement, and System Integration, 2018
Design methods of inverse optimal adaptive H8 consensus control of multi-agent systems denoted by the first-order and the second-order regression models on directed network graphs are presented in this paper.
Yoshihiko Miyasato
doaj   +1 more source