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Journal of Analytical Psychology, Volume 65, Issue 1, Page 88-115, February 2020., 2020 Abstract The various ways schools of psychotherapy relate to dreams have been marked by isolationism and mutual conflict rather than self‐examination and then integrating the discoveries and methods of other schools. Jung’s method was in opposition to Freud’s psychoanalysis. Existential psychology was dismissive of Freud’s and Jung’s discoveries, while
Ole Vedfelt
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Rare Metals, Volume 45, Issue 2, February 2026.ABSTRACT The high accuracy in surface‐enhanced Raman scattering‐lateral flow immunoassays (SERS–LFIAs) is critical for reliable point‐of‐care testing (POCT) in clinical diagnostics. Conventional approaches are often affected by sampling variability and uneven distribution of immunoprobes, leading to unreliable signal fluctuations.
Shuai Zhao +9 more
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High Performance Catalyst Design by Artificial Intelligence for Acetylene Hydrochlorination
Rare Metals, Volume 45, Issue 1, January 2026.ABSTRACT The rapid development of artificial intelligence (AI) has brought transformative contributions to society, revolutionizing various fields through its advanced computational capabilities and data‐driven approaches. In the field of materials science, AI has become a powerful tool that significantly accelerates the discovery of new materials by ...
Yuan Zhou +12 more
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Deep quantile regression for growth and maturation reaction norms
Methods in Ecology and Evolution, Volume 17, Issue 1, Page 111-124, January 2026.Abstract Understanding species' growth and maturation responses to anthropogenic and environmental pressures is crucial for tracking demographic shifts, phenotypic change and ensuring population sustainability. Traditional regression methods often focus on modelling the conditional mean of life‐history traits, potentially overlooking heterogeneity in ...
Guankui Liu +4 more
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World Medical &Health Policy, Volume 17, Issue 4, Page 745-766, December 2025.ABSTRACT This paper aimed to describe and analyze the factors that shaped the political priority of global neurosurgery from 2015 to 2022. The neurosurgery community formed a movement (that can be described as a global health network) to advocate for the neurosurgical patient to ensure safe, timely, and affordable neurosurgical care for all, and ...
Martina Gonzalez Gomez +3 more
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Research and Application of Face Recognition Based on Deep Convolutional Neural Networks [PDF]
, 2016 人脸识别是计算机视觉领域中研究的热点之一，不仅是因为以自然脸为研究对象是非常有挑战性的，而且有很多应用需要将人脸识别作为第一步。近年来，随着智能手机的普及，每天有成千上万的照片被上传到社交网络平台，如微博、微信等等，其中包括大量的人脸照片。深度学习是近十年来人工智能领域取得的重要突破，深度学习通过建立类似于人脑的分层模型结构，对输入数据逐级提取从底层到高层的特征，从而能很好地建立从底层信号到高层语义的映射关系。本文以深度学习的方法在人脸识别中的研究与应用为研究对象。 论文首先介绍了研究的背景和意义 ...
万经勇
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Conservation Biology, Volume 39, Issue 2, April 2025.Abstract Emerging infectious diseases are increasingly recognized as a significant threat to global biodiversity conservation. Elucidating the relationship between pathogens and the host microbiome could lead to novel approaches for mitigating disease impacts.
Alexander S. Romer +25 more
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Gaoya dianqi, 2011 小波网络是近年来神经网络研究中的一个新分支,是结合小波变换理论与神经网络的思想构造的一种新的神经网络模型。笔者构造的前馈小波神经网络是将小波分析与BP神经网络融合,以Gauss小波及其伸缩平移系作为隐含层小波基函数并且对小波神经网络做了一些改进。选择了300组油中溶解气体含量作为前馈小波神经网络训练及故障识别的样本,并对仿真结果进行分析。实验结果显示:文中构造的小波神经网络适合变压器故障诊断,其性能优于改良IEC法,传统BP神经网络法和基于主成分分析法的BP神经网络 ...
方健, 彭辉, 李自品, 舒乃秋
doaj
He jishu对于反应堆热工水力参数的预测，现有的研究多使用单一神经网络的预测方法，但在噪声较大的情况下，单一神经网络不能很好地剔除噪声的影响。本文使用基于经验模态分解法（Empirical Mode Decomposition，EMD）与奇异谱分析法（Singular Spectrum Analysis，SSA）结合自适应径向基神经网络（Radial Basis Function Neural Network，RBF）的组合模型提高堆芯热工参数瞬态预测的精度。采用1/2中国实验快堆（China ...
赵 梓炎 +4 more
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Dizhen xuebao, 2022 探讨了基于差分进化-人工神经网络构建沉积河谷地震响应代理模型的可行性。首先建立沉积河谷对地震波散射的求解方法，以半圆形、V形沉积河谷为例，以入射波条件、沉积内外介质属性、场地形状为特征参数，以沉积河谷地震动放大系数为预测目标参数，构建数据集；其次，建立沉积河谷地震动放大效应人工神经网络、差分进化-人工神经网络算法预测模型，对比两种算法计算精度和稳定性，并进行了特征参数敏感性分析。结果表明：人工神经网络能较好地预测沉积河谷地震动放大效应，使差分进化-人工神经网络预测模型的精度和稳定性显著提高 ...
Sibo Meng, Jiawei Zhao, Zhongxian Liu
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