An automated measurement of head circumference using CT scans: An application in children with head abnormalities by Priscila Satomi Acamine, Rafael Maffei Loureiro, Lucas dos Anjos Longas, Fabio Augusto Ribeiro Dalpra, Luigi Villanova Machado de Barros Lago, Larissa Vasconcellos de Moraes, Paulo Cesar Filho Estevam, Luiz Otávio Vittorelli, Lucas Silva Kallás, Ana Paula Antunes Pascalicchio Bertozzi, Maria Isabel Barros Guinle, Gilberto Szarf, Saulo Duarte Passos, Birajara Soares Machado, Joselisa Péres Queiroz De Paiva

“…Manual measurement of head circumference has been a widely adopted method of neurodevelopmental evaluation in both clinical and research settings. Here, we propose a method that uses axial slices of computerized tomography (CT) scans to detect the largest outer margin for measurement. …”
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Evaluating Variational Quantum Eigensolver Approaches for Simplified Models of Molecular Systems: A Case Study on Protocatechuic Acid by Gleydson Fernandes de Jesus, Erico Souza Teixeira, Lucas Queiroz Galvão, Maria Heloísa Fraga da Silva, Mauro Queiroz Nooblath Neto, Bruno Oziel Fernandez, Amanda Marques de Lima, Eivson Darlivam Rodrigues de Aguiar Silva, Clebson dos Santos Cruz

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Diagnosis and genetic analysis of polycythemia in children and a novel EPAS1 gene mutationWhat is knownWhat is new? by Hatice Mine Cakmak, Omer Kartal, Ayca Kocaaga, Yasar Bildirici

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The adaptive dynamic programming signal control system for person in a connected vehicle environment by Zongyuan Wu, Shiming LI, Gen LI, Ben Waterson, Luyao Zhu, Decai Wang

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Climate seasonality and predictability during the middle stone age and implications for technological diversification in early Homo sapiens by Lucy Timbrell, James Clark, Gonzalo Linares-Matás, Solène Boisard, Eslem Ben Arous, James Blinkhorn, Matt Grove, Eleanor M. L. Scerri

“…Abstract Regionalisation is considered to be a hallmark of the Middle Stone Age (MSA) compared to the Early Stone Age. Yet what drove diversification around a shared technological substrate that persisted across Africa for hundreds of thousands of years remains debated. …”
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Retrieval of NO₂ profiles from 3 years of Pandora MAX-DOAS measurements in Toronto, Canada by R. Alwarda, R. Alwarda, K. Bognar, X. Zhao, V. Fioletov, J. Davies, S. C. Lee, D. Griffin, A. Lupu, U. Frieß, A. Cede, A. Cede, Y. Su, K. Strong

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Thermal performance enhancement in a solar air heater fitted with flapped V-baffles: Numerical study by Chinnapat Turakarn, Pitak Promthaisong, Teerapat Chompookham

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Power management in isolated microgrids using machine learning-based robust model predictive control by Chou-Yi Hsu, Amit Ved, Hannah Jessie Rani R, Zayd Ajsan Balsem, Nora Rashid Najem, Abhayveer Singh, P․Sasi Kiran, Ankita Aggarwal, Satish Kumar Samal, Alireza Kamranfar

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Differential diagnosis of hematogenous osteomyelitis and malignant bone tumors by A. N. Tkachenko, O. F. Nur, A. A. Korneenkov, L. E. Sharova, I. E. Itskovich, I. I. Kushnirchuk, A. Yu. Cherkasov

“…In the research we.Results. The database was created based on studying the data of the retrospective group. …”
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Multi-modal integration of MRI and global chamber charge density mapping for the evaluation of atrial fibrillation by Alexander J. Sharp, Michael T. B. Pope, Andre Briosa e Gala, Richard Varini, Timothy R. Betts, Abhirup Banerjee

“…We apply the CDM inverse algorithm to both sets of reconstructions in order to compare derived conductions across various heart rhythms and AF conduction patterns. …”
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A causality-based method for multi-model comparison: application to relationships between atmospheric, oceanic and marine biogeochemical variables by G. Bénard, M. Gehlen, M. Vrac

“…<p>We introduce a novel causality-based approach to compare Earth system model outputs. The method is based on the PCMCI+ algorithm, which identifies causal relationships between multiple variables. …”
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A multimodal approach for ADHD with coexisting ASD detection for children by Jungpil Shin, Sota Konnai, Md. Maniruzzaman, Yoichi Tomioka, Yong Seok Hwang, Akiko Megumi, Akira Yasumura

“…This study proposes a novel approach that increase the detection rate and provides new insights for further research.…”
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What can we learn about multi-hazard impacts from global disaster records? by W. S. Jäger, M. C. de Ruiter, T. Tiggeloven, P. J. Ward, P. J. Ward

“…We also statistically compare the impacts of hazard pairs, single hazards, and combinations of two single hazards. …”
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Evaluating the feasibility of 12-lead electrocardiogram reconstruction from limited leads using deep learning by Oriana Presacan, Alexandru Dorobanţiu, Jonas L. Isaksen, Tobias Willi, Claus Graff, Michael A. Riegler, Arun R. Sridhar, Jørgen K. Kanters, Vajira Thambawita

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Immunopathological markers and cell types linked to COVID-19 symptom manifestation by Ha Won Song, Hye-Yeong Jo, Sang Cheol Kim, Sun Shim Choi

“…Conclusions These findings advance our understanding of the immunopathological mechanisms underlying COVID-19 and may inform the development of targeted therapies and preventative measures. Future research should focus on further elucidating these mechanisms and exploring their potential clinical applications in managing COVID-19 severity.…”
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Automatic identification and characteristics analysis of crack tips in rocks with prefabricated defects based on deep learning methods. by Mingtao Gao, Minhui Li, Lu Chen, Zihao Guo, Chengyang Guo, Liping Li, Changsen Bu

“…The recognition accuracy, the precision, and the recall rate of the U-net model have increased by 0.5%, 2.3%, and 4.3% respectively compared with the Deeplabv3 model. The research results provide new ideas for the intelligent detection of cracks in the rock mass, which offer high-confidence data support for engineering decisions in complex geological environments.…”
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Information-Guided Diffusion Model for Downscaling Land Surface Temperature from SDGSAT-1 Remote Sensing Images by Jianxin Wang, Zhitao Fu, Bohui Tang, Jianhui Xu

“…Taking the Heihe River Basin in China as a case study, this research focuses on LST data retrieved from the SDGSAT-1 using the three-channel split-window algorithm. …”
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Enhancing DeepLabv3+ Convolutional Neural Network Model for Precise Apple Orchard Identification Using GF-6 Remote Sensing Images and PIE-Engine Cloud Platform by Guining Gao, Zhihan Chen, Yicheng Wei, Xicun Zhu, Xinyang Yu

“…Additionally, an enhanced DeepLabv3+ model was constructed based on GF-6 satellite images and the PIE-Engine cloud platform, exhibiting superior performance in feature expression compared with conventional machine learning classification and recognition algorithms.…”
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Mechanical Behavior of Filled Rubber Compounds: Hyper-Elastic Models Based on Strain Amplification by Mir Hamid Reza Ghoreishy, Foroud Abbassi-Sourki

“…The parameters of the latter model were determined using an optimization algorithm in which a new UHYPER subroutine was developed and linked to Abaqus main code. …”
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Optimization of Fused Deposition Modeling Parameters for Mechanical Properties of Polylactic Acid Parts Based on Kriging and Cuckoo Search by Yuan Yang, Yiyang Wang, Bowen Xue, Changxu Wang, Bo Yang

“…Firstly, by analyzing FDM principle and its main parameters, printing speed and temperature were selected as research elements, and tensile strength as the mechanical performance index. …”
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