Part of speech weighted multi-modal emotion analysis model with dynamic adjustment of semantic representation by HUA Qiang, CHEN Zhuo, ZHANG Feng, DONG Chunru

“…Comparative experimental results with the current advanced models such as tensor fusion network and low-rank multimodal fusion show that the average absolute errors of PW-DS model on public data sets CMU-MOSI and CMU-MOSEI are 0.607 and 0.510, respectively, and the binary classification accuracies are 89.02% and 86.93%, respectively, which is better than the models in the comparative experiments. …”
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Diffusion tractography of kidney by high angular resolution diffusion imaging by Surendra Maharjan, Jie Chen, Adrienne Gaughan, Neal X. Chen, Nian Wang

“…The study employed diffusion tensor imaging (DTI) and generalized Q-sampling imaging (GQI) to examine the tubular orientation distributions and tractography, validated by conventional histology. …”
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The road to commercial success for neuromorphic technologies by Dylan Richard Muir, Sadique Sheik

“…Gradient-based training of deep spiking neural networks is now an off-the-shelf technique for building general-purpose Neuromorphic applications, with open-source tools underwritten by theoretical results. …”
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Acupuncture for migraine: a literature review of neuroimaging studies by Dan Tong, Dan Tong, Dan Tong, Rui Yao, Rui Yao, Xinyue Zhang, Xinyue Zhang, Siyuan Tao, Siyuan Tao, Nuo Chen, Nuo Chen, Wanxia Wu, Wanxia Wu, Sai Wu, Sai Wu, Jun Zhou, Jun Zhou, Yulan Ren, Fanrong Liang, Fanrong Liang, Litao Pan, Zhengjie Li, Zhengjie Li, Zhengjie Li, Zhengjie Li

“…The immediate effects of acupuncture treatment for migraines primarily involve brain regions such as the middle frontal gyrus (MFG), precuneus, and postcentral gyrus, most of which belong to the default mode network (DMN), central executive network (CEN), and salience network (SN). …”
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Rényi entanglement of purification and half Rényi reflected entropy in free scalar theory by Liangyu Chen

“…A natural question is whether they are the same in holographic CFTs even though they are different in general. Previous studies have shown E P ≥ 1 2 S R n $$ \frac{1}{2}{S}_R^{(n)} $$ , n ≥ 2 for random tensor networks. …”
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Structural Connectivity of the Substantia Nigra: A Comprehensive Review of Diffusion Imaging and Tractography Studies by Iva Bublíková, Stanislav Mareček, Tomáš Krajča, Christiane Malá, Petr Dušek, Radim Krupička

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The effect of rTMS intervention with different targets on neural remodeling in stroke patients: a randomized controlled trial by Li Zhao, Li Chen, Qiu Wang, Xinyi Li, Sha Li, Chunxiao Wan

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Effects of repetitive transcranial magnetic stimulation over the contralesional dorsal premotor cortex on upper limb function in severe ischaemic stroke: study protocol for a rando... by Xi Yang, Yi Zhu, Tong Wang, Ying Shen, Lu Fang, Wenjun Dai, Canhuan Liu, Hongyuan Ding, Chuan Guo, Manyu Dong, Yilun Qian

“…The findings of this study will be spread through networks of scientists, professionals and the general public as well as peer-reviewed scientific papers and presentations at pertinent conferences.Trial registration number ChiCTR2000038049…”
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First Estimations of Geomagnetically Induced Currents in the South of Portugal by Joana Alves Ribeiro, Fernando J. G. Pinheiro, Maria Alexandra Pais

“…Magnetotelluric impedance tensors used to compute the induced electric field are obtained using a conductivity model that takes into account general features of the local lithology and the proximity to the sea. …”
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High-gamma and beta bursts in the left supramarginal gyrus can differentiate verbal memory states and performance by Shennan Aibel Weiss, Nicolás Sawczuk, Daniel Y. Rubinstein, Michael R. Sperling, Katrina Wendel-Mitoraj, Päivi Österman, René Dumay-Roscher, Charles B. Mikell, Sima Mofakham, Kelly Coulehan, Petar M. Djuric, Diego Fernandez Slezak, Juan Esteban Kamienkowski

“…Convolutional neural networks (CNNs) were trained and cross-validated on these 2D tensors to classify memory state (encoding versus recall) and performance (remembered versus forgotten items) within subjects.ResultsThe latter CNN, used to label subsequently recalled words based on iEEG recorded during the encoding epoch, performed at or below chance in 79 of the 141 experiments. …”
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