A Low Power Memory-Integrated Hardware BNN-MLP Model on an FPGA for Current Signals in a Biosensor by Geon-Hoe Kim, Dong-Gyun Kim, Sung-Jae Lee, Jong-Han Kim, Da-Yeong An, Hyejin Kim, Young-Gun Pu, Heejeong Jasmine Lee, Jun-Eun Park, Kang-Yoon Lee

“…The BNN-MLP model was designed using TensorFlow for the software model and implemented in hardware at the Register Transfer Level (RTL). …”
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Exploiting Natural Language Processing to Unveil Topics and Trends of Traumatic Brain Injury Research by Mert Karabacak, Ankita Jain, Pemla Jagtiani, Zachary L. Hickman, Kristen Dams-O'Connor, Konstantinos Margetis

“…Likewise, cold topics may present opportunities for researchers to revisit unanswered questions. …”
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Comparative analysis of object tracking algorithms by B. A. Zalesky, V. A. Ivanyukovich, K. V. Reer, D. A. Starikovich

“…Objectives. The article presents the results of calculation and comparative analysis of the characteristics of the algorithm proposed by the authors in [1] for tracking an object captured by a video camera, when solving the urgent task of automatic detection and tracking of drones. …”
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Selection of the Material for the Sensitive Elements of SAW-based Accelerometers by S. Yu. Shevchenko, D. A. Mikhailenko, D. P. Lukyanov

“…Introduction. At the present, sensors based on surface acoustic waves (SAW) is a rapidly developing direction and a promising replacement for classical sensors, especially in those areas where long-term performance of latter is questionable. …”
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Characteristics and dynamic significance of the structural stress field in the central segment of the Tan-Lu Fault Zone and its adjacent areas by JiaJi Luo, ZheMin Liu, ShuYuan Yu, Bing Feng, ZheJun Li, Peng Zhao, YuanYuan Yang

“…Utilizing the damped stress tensor method, we have inverted the spatial characteristics of the stress field variations in this study area, at a resolution of 1.0° × 1.0°. …”
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Does peripheral neuroinflammation predict chronicity following whiplash injury? Protocol for a prospective cohort study by Mara Cercignani, Stephen Bremner, Alex Novak, Chetan Trivedy, Colette Ridehalgh, Joel Fundaun, Rupert Young, Jane Greening, Annina Schmid, Andrew Dilley

“…MRI scans using T2-weighted and diffusion tensor images of the brachial plexus and wrist will determine nerve inflammation and nerve structural changes. …”
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A surrogate model for estimating rock stress by a hollow inclusion strain cell in a three-layer medium by Changkun Qin, Wusheng Zhao, Weizhong Chen, Peiyao Xie, Shuai Zhou

“…To address this issue, this paper presents a method for calculating stress tensors in a three-layer medium using numerical simulations, specifically by obtaining a constitutive matrix that relates strain measurements to stress tensors in a three-layer medium. …”
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Seismicity associated with hydraulic fracturing in Changning shale gas field, China: Constraints from source mechanisms, stress field and fluid overpressure thresholds by Jingjing Dai, Jianfeng Liu, Jianxiong Yang, Fujun Xue, Lei Wang, Xiangchao Shi, Shigui Dai, Jun Hu, Changwu Liu

“…We then constrain the directions of the maximum horizontal stress (σHmax) for four dense earthquake clusters using the stress tensor inversion method. The stress drops of 121 earthquakes with ML ≥ 1.5 are calculated using the spectral ratio method. …”
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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

“…Furthermore, data of diffusion tensor imaging and functional MRI will be collected. …”
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Effect of intermittent theta burst stimulation combined with acoustic startle priming motor training on upper limb motor function and neural plasticity in stroke individuals: study... by Jing Zhang, Yu Chen, Mingzhu Wang, Nan Xia, Jinghong Li, Weiqiang Liang, Yangyang Yin, Linhan Zhai, Qiuxia Wang

“…Non-invasive modulation of the CRST presents a promising though challenging, therapeutic opportunity. …”
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A Feasibility Study on Indoor Localization and Multiperson Tracking Using Sparsely Distributed Camera Network With Edge Computing by Hyeokhyen Kwon, Chaitra Hegde, Yashar Kiarashi, Venkata Siva Krishna Madala, Ratan Singh, ArjunSinh Nakum, Robert Tweedy, Leandro Miletto Tonetto, Craig M. Zimring, Matthew Doiron, Amy D. Rodriguez, Allan I. Levey, Gari D. Clifford

“…Our pipeline consists of 39 edge computing camera systems equipped with tensor processing units (TPUs) placed in the indoor space's ceiling. …”
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Deep learning-based analysis of 12-lead electrocardiograms in school-age children: a proof of concept study by Shuhei Toba, Yoshihide Mitani, Yusuke Sugitani, Yusuke Sugitani, Hiroyuki Ohashi, Hirofumi Sawada, Mami Takeoka, Naoki Tsuboya, Kazunobu Ohya, Noriko Yodoya, Takato Yamasaki, Yuki Nakayama, Hisato Ito, Masahiro Hirayama, Motoshi Takao

“…In this study, we aimed to develop and validate a deep learning-based model for automated analysis of ECGs in children.MethodsWave data of 12-lead electrocardiograms were transformed into a tensor sizing 2 × 12 × 400 using signal processing methods. …”
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PLB2Tau mice are impaired in novel and temporal object recognition and show corresponding traits in brain MRI by Jacques Micheau, Gwenaelle Catheline, Elodie Barse, Bassem Hiba, Anne Marcilhac, Michèle Allard, Bettina Platt, Gernot Riedel

“…Upon completion of their behavioural testing, animals were recorded in a 7 T MRI for brain structural integrity and diffusion tensor imaging (DTI) analysis. We report that PLB2Tau mice presented with an age-dependent deficit in novel object discrimination relative to wild-type controls at 6 and 12 months. …”
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A MARVEL-ous Study of How Well Galaxy Shapes Reflect Dark Matter Halo Shapes in Cold Dark Matter Simulations by Blake Keith, Ferah Munshi, Alyson M. Brooks, Jordan Van Nest, Anna Engelhardt, Akaxia Cruz, Ben Keller, Thomas Quinn, James Wadsley

“…We present a 3D shape analysis of both dark matter (DM) and stellar matter (SM) in simulated dwarf galaxies to determine whether stellar shape traces DM shape. …”
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NeSyDPP-4: discovering DPP-4 inhibitors for diabetes treatment with a neuro-symbolic AI approach by Delower Hossain, Delower Hossain, Ehsan Saghapour, Ehsan Saghapour, Jake Y. Chen, Jake Y. Chen, Jake Y. Chen

“…In this study, we employed a Neuro-symbolic (NeSy) approach, specifically the Logic Tensor Network (LTN), to develop a DPP-4 QSAR model capable of identifying potential small-molecule inhibitors and predicting bioactivity classification. …”
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The FinnBrain multimodal neonatal template and atlas collection by Jetro J. Tuulari, Aylin Rosberg, Elmo P. Pulli, Niloofar Hashempour, Elena Ukharova, Kristian Lidauer, Ashmeet Jolly, Silja Luotonen, Hilyatushalihah K. Audah, Elena Vartiainen, Wajiha Bano, Ilkka Suuronen, Isabella L. C. Mariani Wigley, Vladimir S. Fonov, D. Louis Collins, Harri Merisaari, Linnea Karlsson, Hasse Karlsson, John D. Lewis

“…Abstract The accurate processing of neonatal and infant brain MRI data is crucial for developmental neuroscience but presents unique challenges that child and adult data do not. …”
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A multimodal MRI-based machine learning framework for classifying cognitive impairment in cerebral small vessel disease by Guihan Lin, Weiyue Chen, Yongkang Geng, Bo Peng, Surui Liu, Minjiang Chen, Chunying Pang, Pengjun Chen, Chenying Lu, Zhihan Yan, Shuiwei Xia, Yakang Dai, Jiansong Ji

“…Abstract The heterogeneity of cerebral small vessel disease (CSVD) with mild cognitive impairment (MCI) presents a challenge for diagnosis and classification. …”
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Histogram analysis based on DTI and NODDI for differentiating atypical high-grade glioma from primary central nervous system lymphoma by Shanshan Zhao, Shanshan Zhao, Xiaoyue Ma, Xiaoyue Ma, Linlin Li, Eryuan Gao, Eryuan Gao, Kai Zhao, Kai Zhao, Mengzhu Wang, Guang Yang, Hongbin Zheng, Jingliang Cheng, Jingliang Cheng, Guohua Zhao, Guohua Zhao

“…The differential diagnosis becomes particularly challenging when HGG presents without characteristic magnetic resonance imaging (MRI) features, making it difficult to differentiate from PCNSL. …”
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Turbulent transport extraction in time and frequency and the estimation of eddy fluxes at high resolution by G. Destouet, N. Besic, E. Joetzjer, M. Cuntz

“…It adaptively localises turbulent scales using a metric derived from the vertical component of the Reynolds stress tensor, enabling more accurate flux estimation under varying turbulence conditions. …”
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Modelos teóricos para el estudio de la deformación. // Theorical models for the study of deformation. by L. O’Connor Montero

“…</p><p>________________________________________________________________________________</p><p>Abstract<br />A synthesis of the models that permit the study of the process of deformation either from the primt of the science of<br />materials or continous bodies is presented. Emphasis is placed on the techniques used to define tensional and deformation<br />tensors for their being so useful and not very frequent in engineering literature. …”
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