Organonitrile 发表于 2025-3-23 12:03:23
https://doi.org/10.1007/978-4-431-54511-8Cultural Evolution; Evolutionary Change Learning; Humans Neanderthals Comparison; Learning Strategies; M疏忽 发表于 2025-3-23 15:55:53
http://reply.papertrans.cn/92/9182/918163/918163_12.pngbacteria 发表于 2025-3-23 19:27:38
Oral Contraceptives and Nutrient Requirements,nomenon have been enormous. Never before has a population amounting to many millions of women of childbearing age been voluntarily subjected to a treatment with drugs which, in addition to their primary action in preventing fertilization, have resulted in many, often undesirable, side effects.材料等 发表于 2025-3-24 01:51:49
http://reply.papertrans.cn/92/9182/918163/918163_14.png提名 发表于 2025-3-24 04:13:13
Claus Kerkhoff,Yvonne Radon,Hannah Flaßkampnventional measurements require inconvenient cuff-based instruments and are not able to detect continuous blood pressure. Advanced methods utilize machine learning to estimate BP by constructing artificial features in plethysmography (PPG) or using an end-to-end deep learning framework to estimate Bpester 发表于 2025-3-24 10:12:29
http://reply.papertrans.cn/92/9182/918163/918163_16.pngdebunk 发表于 2025-3-24 11:15:19
C. N. L. Macpherson,P. S. Craigh nicht ganz korrekt und nicht in Ubereinstimmung mit der Periodisierung etwa der Kunstgeschichte, als Renaissance (d.h. Wiedergeburt, nämlich der Antike) bezeichnet. Er unterscheidet sich von allen anderen Perioden der Mathematikgeschichte durch die Kombination zweier Merkmale:Ovulation 发表于 2025-3-24 17:18:20
http://reply.papertrans.cn/92/9182/918163/918163_18.pngjaunty 发表于 2025-3-24 20:04:43
Jacqueline Nadel,Anne-Marie Fontaineist of a magnetic material (iron, nickel, and cobalt) and a functionalized chemical component. MNPs are superparamagnetic because of their nanoscale size, offering great potentials in their bare form or coated with a surface coating and functional groups. Magnetic nanoparticles (MNPs) are of great i连词 发表于 2025-3-25 00:02:01
Jan M. Broekmans have shown that the reliability of the sources changes due to environmental conditions. To cope with this problem, we have introduced a reliability estimation concept using classification models, which are offline trained by using the extracted information from sensors’ detections and the past per