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Prediction of plant species occurrence as affected by nitrogen deposition and climate change on a European scale
Biodiversity Climate change Nitrogen deposition Precipitation Soil EUNIS
2023/12/19
Plant species occurrence in Europe is affected by changes in nitrogen deposition and climate. Insight into potential future effects of those changes can be derived by a model approach based on field-b...
CO2 Emissions Accounting and Carbon Peak Prediction of China’s Papermaking Industry
paper and paper products LCA CO2 emissions carbon peaking
2023/11/22
China has been the world’s largest producer and consumer of paper products. In the context of the “carbon peaking and carbon neutrality goals”, China’s papermaking industry which is traditionally a hi...
Prediction of Wildfire Fuel Load for Pinus densiflora Stands in South Korea Based on the Forest-Growth Model
canopy fuel characteristics diameter distribution model forest management Pinus densiflora
2023/11/20
A prediction model was developed for the wildfire fuel load of Korean red pine (Pinus densiflora) stands with susceptibility to forest fire based on the forest-growth model. Furthermore, a time-series...
Machine learning-based atom contribution method for the prediction of surface charge density profiles and solvent design
atom contribution computer-aided molecular design decomposition-based algorithm machine learning
2023/6/19
Solvents are widely used in chemical processes. The use of efficient model-based solvent selection techniques is an option worth considering for rapid identification of candidates with better economic...
南京农业大学农学院《Plant Physiology》发表黄骥教授“RiceTFtarget: A Rice Transcription Factor-Target Prediction Server Based on Co-expression and Machine Learning”(图)
黄骥 基因 生物信息学 作物
2023/10/28
转录因子(TF)在基因表达调控中发挥了重要作用。鉴定转录因子的靶基因或与靶基因启动子结合的转录因子对于解析转录因子-靶基因模块的生物学功能和调控网络至关重要。2023年6月15日,作物生物信息学课题组在Plant Physiology发表了题为“RiceTFtarget: A Rice Transcription Factor-Target Prediction Server Based on C...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Topological materials: concept, theory, prediction, and detection
拓扑材料 固体物理学 量子霍尔效应
2023/4/17
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Sparse Tensor Optimization Approaches for Traffic Flow Prediction, Anomaly Detection and Video Surveillance
交通流预测 异常检测 视频监控 稀疏张量 优化方法
2023/4/13
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Prediction When Factors are Weak
因素较弱 预测 宏观经济预测
2023/5/5
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Calculation of high-order harmonic generation of atoms and molecules by combining time series prediction and neural networks
时间序列预测 神经网络计算 原子分子 高阶谐波生成
2023/5/9
长安大学运输工程学院房建武副教授在《IEEE Transactions on Intelligent Transportation Systems》发表论文:DADA: Driver Attention Prediction in Driving Accident Scenarios
长安大学运输工程学院 房建武 IEEE Transactions on Intelligent Transportation Systems 事故场景 驾驶注意预测 视觉注意规律
2022/5/24
A comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization
棉花 纤维品质 QTL 遗传基因组
2024/4/16
Spectrometric prediction of wood basic density by comparison of different grain angles and variable selection methods
Spectrometric prediction wood basic density
2023/6/2
New prediction algorithm identifies previously undetected cancer driver genes(图)
New prediction algorithm identifies previously undetected cancer driver genes
2020/12/11
A new study, led by U.S. National Science Foundation-funded researchers at the University of California, Irvine, has deepened the understanding of epigenetic mechanisms in tumorigenesis and ...
Incorporation of parental phenotypic data into multi-omic models improves prediction of yield-related traits in hybrid rice
parental phenotypic data multi-omic models yield-related traits hybrid rice
2023/7/20
中国地质大学科学技术发展院杨现禹,蔡记华*,蒋国盛*等,工程学院,Energy(July 2020),Nanoparticle plugging prediction of shale pores: A numerical and experimental study
能源领域;物理建模;纳米技术
2021/10/15
近日,能源与燃料领域国际重要期刊《Energy》刊发了中国地质大学工程学院蒋国盛教授和蔡记华教授团队的研究成果——“Nanoparticle plugging prediction of shale pores: A numerical and experimental study”。该文第一作者杨现禹为工程学院特任副教授,通讯作者为蔡记华教授和蒋国盛教授。