Use of artificial intelligence for liver diseases: A survey from the EASL congress 2024Keypoints by Laura Žigutytė, Thomas Sorz-Nechay, Jan Clusmann, Jakob Nikolas Kather

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AI-Driven Plant Health Assessment: A Comparative Analysis of Inception V3, ResNet-50 and ViT with SHAP for Accurate Disease Identification in Taro by Valeria Maeda-Gutiérrez, Juan José Oropeza-Valdez, Luis C. Reveles-Gómez, Cristian Padron-Manrique, Osbaldo Resendis-Antonio, Luis Octavio Solís-Sánchez, Hector A. Guerrero-Osuna, Carlos Alberto Olvera Olvera

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Effect of caloric restriction on organ size and its contribution to metabolic adaptation: an ancillary analysis of CALERIE 2 by Kaja Falkenhain, Leanne M. Redman, Wendy Chen, Corby K. Martin, Eric Ravussin, Wei Shen

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Deep behavioral phenotyping tracks functional recovery following tibia fracture in mice by Jonathan E. Layne, Dustin M. Snapper, Dustin M. Snapper, Molly E. Czachor, Charles Lam, Jacob D. Matityahu, Dane R. G. Lind, Matthieu Huard, Johnny Huard, Kazuhito Morioka, Julian C. Motzkin, Julian C. Motzkin, Allan I. Basbaum, Jarret A. P. Weinrich, Jarret A. P. Weinrich, Chelsea S. Bahney, Chelsea S. Bahney

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A Polarization-Power-Maximum-Based 3-D Imaging Method for Ku-Band UAV-Borne Fully Polarimetric Array InSAR by Shujie Song, Xiaolan Qiu, Songtao Shangguan, Yitong Luo, Ziya Li, Zhe Zhang, Hang Li

“…In this article, we propose a polarization analysis-based processing framework for the synthetic aperture radar (SAR) 3-D reconstruction of complex urban areas. …”
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Proton MR spectroscopy of the foramen of Monro region in patients with tuberous sclerosis complex Espectroscopia de prótons por RM da região do forame de Monro em pacientes com com... by Arnolfo de Carvalho-Neto, Isac Bruck, Sérgio A. Antoniuk, Edson Marchiori, Emerson L. Gasparetto

“…PURPOSE: To evaluate with 1H-magnetic resonance spectroscopy (MRS) the metabolites rations of the foramen of Monro's region in patients with tuberous sclerosis complex (TSC). METHOD: Twelve patients with TSC and an age and gender-matched control group underwent MR imaging at a 1.5T scanner, and 1H-MRS at the foramen of Monro level with a multivoxel acquisition. …”
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Enhanced Farmland Extraction from Gaofen-2: Multi-Scale Segmentation, SVM Integration, and Multi-Temporal Analysis by Hang Yang, Hao Sun, Ke Wang, Jian Yang, Muhammad Hasan Ali Baig

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A robust deep learning framework for multiclass skin cancer classification by Burhanettin Ozdemir, Ishak Pacal

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Cellular porosity in dentin exhibits complex network characteristics with spatio-temporal fluctuations. by Lucas Chatelain, Nicolas Tremblay, Elsa Vennat, Elisabeth Dursun, David Rousseau, Aurélien Gourrier

“…Our modeling thus provides a practical framework to estimate the interpretability of calculated graph metrics for a given experimental microscopy setup and image processing pipeline. Overall, this study shows that dentin porosity exhibits typical characteristics of a complex network and quantitatively emphasize the importance of the smallest lateral branches. …”
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Determination of pressure baseline corrections for clumped-isotope signals with complex peak shapes by S. Räss, S. Räss, P. Nyfeler, P. Nyfeler, P. Wheeler, W. Price, M. C. Leuenberger, M. C. Leuenberger

“…Furthermore, we extensively discuss correction procedures of varying complexity and explain why the best results were obtained by predicting multiple background values from the corresponding signals on the peak top (on-peak signals). …”
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Artificial Intelligence Systems for Solving Problems of Agro­Industrial Complex Digitalization and Robotization by A. L. Ronzhin, A. I. Savel'ev

“…The authors provided the examples of produced UAVs and attachments designed for processing the agricultural land, as well as examples of automation modules for vertical farms that provide proactive autonomous control.Conclusions It was determined that the developed software and hardware ensured a 6-percent increase in the residual charge of the UAV battery after the flight. Image analysis using a multispectral camera improved the accuracy of identifying the plant areas with phytopathologies up to 99 percent.…”
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Regularity and randomness in ageing: Differences in resting-state EEG complexity measured by largest Lyapunov exponent by Matthew King-Hang Ma, Manson Cheuk-Man Fong, Chenwei Xie, Tan Lee, Guanrong Chen, William Shiyuan Wang

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ANALYSIS OF MUCOPOLYSACCHARIDOSIS TYPE 1 PROGRESSION BASED ON MRI DATA by E.V. Bogdanov

“…Due to neurodegenerative changes, patients with MPS1 experience cognitive and motor impairments that require continuous clinical monitoring. Magnetic resonance imaging (MRI) is the primary tool for visualizing structural changes in the brain; however, traditional MRI data analysis methods have several limitations related to subjective image interpretation and the high complexity of data processing. …”

Optimization of Complex Cancer Morphology Detection Using the SIVQ Pattern Recognition Algorithm by Jason Hipp, Steven Christopher Smith, Jerome Cheng, Scott Arthur Tomlins, James Monaco, Anant Madabhushi, Lakshmi Priya Kunju, Ulysses J. Balis

“…In a number of cases in surgical pathology, morphometric quantitation is already performed manually or semi-quantitatively, with this effort contributing to diagnostic workup. Digital whole slide imaging, coupled with emerging image analysis algorithms, offers great promise as an adjunctive tool for the surgical pathologist in areas of screening, quality assurance, consistency, and quantitation. …”
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Machine learning cluster analysis identifies increased 12-month mortality risk in transcatheter aortic valve replacement recipients by Thomas Meredith, Thomas Meredith, Thomas Meredith, Farhan Mohammed, Amy Pomeroy, Sebastiano Barbieri, Sebastiano Barbieri, Erik Meijering, Louisa Jorm, David Roy, Jason Kovacic, Jason Kovacic, Jason Kovacic, Jason Kovacic, Michael Feneley, Michael Feneley, Michael Feneley, Christopher Hayward, Christopher Hayward, Christopher Hayward, David Muller, David Muller, David Muller, Mayooran Namasivayam, Mayooran Namasivayam, Mayooran Namasivayam

“…Unsupervised machine learning permits pattern discovery within complex multidimensional patient data and may facilitate recognition of groups requiring closer post-TAVR surveillance.MethodsWe analysed and differentiated routinely collected demographic, biochemical, and cardiac imaging data into distinct clusters using unsupervised machine learning. k-means clustering was performed on data from 200 patients who underwent TAVR for severe aortic stenosis (AS). …”
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Enjeux mémoriels de l'album dans le discours sur l'immigration algérienne : images culturelles et culture de l'image by Anne Schneider

“…The picture book genre makes it possible to create a rich, complex, and dense discourse on Algerian immigration to France. …”
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Automatic Segmentation and Characterization of Structure Planes From Borehole Images Based on Deep Learning by Shuangyuan Chen, Zengqiang Han, Yi Cheng, Chao Wang

“…The proposed method was evaluated on a borehole image dataset, achieving a mean IoU of 69.53%, with 93.59% for the background class and 45.47% for the structure plane class, demonstrating its effectiveness in segmenting both dominant and complex regions. …”
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Automated Epileptic Seizure Detection in Scalp EEG Based on Spatial-Temporal Complexity by Xinzhong Zhu, Huiying Xu, Jianmin Zhao, Jie Tian

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The impact of transport routes on Kazakhstan’s agro-industrial complex considering ESG approaches by Aliya Akhmet, Elvira Nurekenova, Nurbakhyt Nurmukhametov, Laszlo Vasa, Madina Rakhimberdinova

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Synthesis and Thermal Characterization of Lanthanide(III) Complexes with Mercaptosuccinic Acid and Hydrazine as Ligands by S. Devipriya, N. Arunadevi, S. Vairam

“…The complexes have been characterized by elemental analysis, IR and UV-visible spectroscopic, thermal and X-ray diffraction studies. …”
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