Spatiotemporal Dynamics of Urban and Rural Settlements in Tanzania (1975–2020): Drivers, Patterns, and Regional Disparities by Jiaqi Zhang, Rongrong Zhang, Jiaqi Fan, Xiaoke Guan, Hui Liang

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Patterns of childhood trauma co-occurrence and its predictivity for suicidality: A machine learning approach by Wenbang Niu, Yi Feng, Shicun Xu, Xin Cui, Zhihao Ma, Yuanyuan Wang

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Perennial grass root system specializes for multiple resource acquisitions with differential elongation and branching patterns by Nichole Reed, Kyungdahm Yun, Eduardo A. Dias de Oliveira, Alina Zare, Roser Matamala, Soo-Hyung Kim, Miquel Gonzalez-Meler

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Parallel Agent-Based Framework for Analyzing Urban Agricultural Supply Chains by Manuel Ignacio Manríquez, Veronica Gil-Costa, Mauricio Marin

“…To efficiently handle the computational demands of large-scale scenarios, we adopt an optimistic approximate parallel execution strategy. …”
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Unveiling Recurrence Patterns: Analyzing Predictive Risk Factors for Breast Cancer Recurrence after Surgery by Monireh Shahmoradi, Ahmad Fazilat, Mostafa Ghaderi-Zefrehei, Arash Ardalan, Ali Bigdeli, Nahid Nafissi, Ebrahim Babaei, Mahsa Rahmani

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Building electrical consumption patterns forecasting based on a novel hybrid deep learning model by Nasser Shahsavari-Pour, Azim Heydari, Farshid Keynia, Afef Fekih, Aylar Shahsavari-Pour

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Evaluation of Condylar and Airway Volume in Skeletal Class I Patients with Different Vertical Growth Patterns by Fırat Oğuz, Sabahattin Bor, Ayla Khanmohammadi, Melike Kıranşal

“…<b>Objective:</b> This study aimed to investigate the correlation between condylar volume and airway dimensions in skeletal Class I malocclusion patients with different vertical growth patterns. Cone-beam computed tomography (CBCT) files were analyzed using AI-performed segmentation to ensure accurate measurements. …”
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Personalized whole-brain activity patterns predict human corticospinal tract activation in real-time by Uttara U. Khatri, Kristen Pulliam, Muskan Manesiya, Melanie Vieyra Cortez, José del R. Millán, Sara J. Hussain

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Study of transmission pattern of COVID-19 among cardiac and noncardiac population using a nonlinear mathematical model by Shirisha Gopishetty, Vernekar Saroj

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Stochastically gating ion channels enable patterned spike firing through activity-dependent modulation of spike probability. by Joshua T Dudman, Matthew F Nolan

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First passage time analysis of spatial mutation patterns reveals sub-clonal evolutionary dynamics in colorectal cancer. by Magnus J Haughey, Aleix Bassolas, Sandro Sousa, Ann-Marie Baker, Trevor A Graham, Vincenzo Nicosia, Weini Huang

“…Here, we propose a framework using first passage times of random walks to quantify the complex spatial patterns of tumour cell population mixing. First, using a simple model of cell mixing we demonstrate how first passage time statistics can distinguish between different pattern structures. …”
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Gene expression noise in spatial patterning: hunchback promoter structure affects noise amplitude and distribution in Drosophila segmentation. by David M Holloway, Francisco J P Lopes, Luciano da Fontoura Costa, Bruno A N Travençolo, Nina Golyandina, Konstantin Usevich, Alexander V Spirov

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Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies. by Adrian J Green, Lisa Truong, Preethi Thunga, Connor Leong, Melody Hancock, Robyn L Tanguay, David M Reif

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The anatomy of ride-hailing trips in the Jakarta metro: spatial patterns, trip-level characteristics, and interaction with other modes by Alyas Widita, Ikaputra, Dyah T. Widyastuti

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Dust in the Smith Cloud? A UV Investigation into the Smith Cloud’s Gas-phase Abundance Patterns by Johanna T. Vázquez, Kathleen A. Barger, Frances H. Cashman, Andrew J. Fox, Bart P. Wakker, Felix J. Lockman, Alex S. Hill, Suraj Poudel, April L. Horton, Jaq Hernández, Matthew Nuss, Alice Blake, Lauren Corlies, Molly Peeples

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A Quantum Perceptron: A New Approach for Predicting Rice Prices at the Indonesian Wholesale Trade Level by Solikhun, Tri Yunita

“…The research utilizes quantum computing along with the perceptron algorithm. The researchers focused on analyzing the quantum perceptron algorithm because of the limited availability of quantum computing devices. …”
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SpanTrain: a cross-domain distributed model training system for cloud-edge-end heterogeneous devices by WANG Jinquan, LIU Xuzhao, LIAO Xiaojian, XIAO Limin, HUO Zhisheng, SUO Jiashun, LI Yuntong, SHEN Runnan, XIE Xilong, TANG Xicheng

“…Expanding the deep neural network (DNN) training from cloud computing centers to the edge and end has significant advantages in aspects such as support for new application patterns, protection of data privacy, and control of training costs. …”
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Quantum Perceptron: A Novel Approach to Predicting Unemployment Levels in North Sumatra Province by Solikhun, Dimas Trianda

“…The application of Quantum Computing to improve the perceptron algorithm in unemployment prediction is a new aspect of this research. …”
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Multimodal versus non-contrast computed tomography for assessment of acute ischaemic stroke: the PRACTISE RCT by Keith W Muir, Salwa El Tawil, Alex McConnachie, Alicia Murray, Ian Ford, Grant Mair, Joanna Wardlaw

“…Background Non-contrast computed tomography has low sensitivity to brain ischaemia. …”
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Density matrix emulation of quantum recurrent neural networks for multivariate time series prediction by J D Viqueira, D Faílde, M M Juane, A Gómez, D Mera

“…This allows us to show how the present and past information from a time series is transmitted through the circuit, and how to reduce the computational cost in every time step of the emulated network. …”
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