Tuning the Legacy Survey of Space and Time Observing Strategy for Solar System Science: Incremental Templates in Year 1 by James E. Robinson, Megan E. Schwamb, R. Lynne Jones, Mario Jurić, Peter Yoachim, Bryce T. Bolin, Colin O. Chandler, Steven R. Chesley, Grigori Fedorets, Wesley C. Fraser, Sarah Greenstreet, Henry H. Hsieh, Lauren J. McGinley, Stephanie R. Merritt, Cyrielle Opitom, John K. Parejko

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Cellular and molecular characterization of peripheral glia in the lung and other organs. by Shaina Hall, Shixuan Liu, Irene Liang, Shawn Schulz, Camille Ezran, Mingqian Tan, Christin S Kuo

“…Our cross-species data analysis and integration of scRNA-seq data of ~700 peripheral glial cells from mouse, mouse lemur, and human glial cells identified conserved gene expression of molecularly distinct peripheral glial cell populations. …”
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Spatially remotely sensed evapotranspiration estimates in Sahel region using an ensemble contextual model with automated heterogeneity assessment by Nesrine Farhani, Jordi Etchanchu, Gilles Boulet, Philippe Gamet, Albert Olioso, Alain Dezetter, Ansoumana Bodian, Nanée Chahinian, Kanishka Mallick, Chloé Ollivier, Olivier Roupsard, Aubin Allies, Jérôme Demarty

“…However, contextual approaches assume the simultaneous presence of sufficient fully wet and fully dry pixels within the same satellite image. This assumption of heterogeneity does not always hold, especially in the Sahel, which is characterized by the alternation of dry and wet seasons due to the monsoon-influenced climate. …”
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Cognitive interference elicits developmental sex differences in inhibitory control by Jake J. Son, Abraham D. Killanin, Mikki Schantell, Yasra Arif, Thomas W. Ward, Maggie P. Rempe, Grace C. Ende, Hannah J. Okelberry, Danielle L. Rice, Anna T. Coutant, Julia M. Stephen, Yu-Ping Wang, Vince D. Calhoun, Alex I. Wiesman, Tony W. Wilson

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Hand X-rays findings and a disease screening for Turner syndrome through deep learning model by Yirou Wang, Yumo Wang, Feihan Hu, Liqi Zhou, Yu Ding, Chen Guo, Yao Chen, Yabin Hu, Shijian Liu, Xiumin Wang

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Differential effects of aging, Alzheimer's pathology, and APOE4 on longitudinal functional connectivity and episodic memory in older adults by Larissa Fischer, Jenna N. Adams, Eóin N. Molloy, Niklas Vockert, Jennifer Tremblay-Mercier, Jordana Remz, Alexa Pichet Binette, Sylvia Villeneuve, Anne Maass, PREVENT-AD Research Group

“…Further, longitudinal studies combining imaging, biomarkers, and cognition are rare. Methods We assessed resting-state functional connectivity (rsFC) strength and graph measures in the episodic memory network including the medial temporal lobe (MTL), posteromedial cortex (PMC), and medial prefrontal cortex alongside cognition over two years. …”
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Adaptive weighted dual MAML: Proposing a novel method for the automated diagnosis of partial sleep deprivation. by Soraya Khanmohmmadi, Toktam Khatibi, Golnaz Tajeddin, Elham Akhondzadeh, Amir Shojaee

“…Although convolutional neural networks (CNNs) are commonly used for detecting these conditions, their performance is inadequate when applied to our heterogeneous and limited-scale EEG data. …”
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Tourism product consumers clustering for developing the tailored marketing mix by Nataliya Chukhray, Kateryna Yarmola, Andrii Chukhrai

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Advances in Periodontal Diagnostics: Application of MultiModal Language Models in Visual Interpretation of Panoramic Radiographs by Albert Camlet, Aida Kusiak, Agata Ossowska, Dariusz Świetlik

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Study on the correlation between abnormal bone metabolism and cognitive impairment in type 2 diabetes mellitus by Jiang Li, Jiang Li, Yuxiao An, Jian Qin, Jian Qin, Noor Shafini Mohamad, Izzad Ramli

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Advances in Remote Sensing and Deep Learning in Coastal Boundary Extraction for Erosion Monitoring by Marc-André Blais, Moulay A. Akhloufi

“…Coastal boundaries, a critical factor in coastal erosion monitoring, are typically extracted from remote sensing images. Due to the extensive scale of coastal areas and the complexity of the data, manually extracting coastal boundaries is challenging. …”
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Relapse Frequency and Pattern Following Adjuvant Radiotherapy for Intermediate and High-Intermediate Risk Endometrial Cancer Based on Retrospective ESGO-ESTRO-ESP Risk Classificati... by Kathryn Graham, Laura Hannington, Claire Duncanson, Andrew Wilkinson, Douglas Cartwright, Rosie Harrand, Ashleigh Kerr, Nick Reed, Azmat Sadozye

“…Clinical follow-up was conducted until death or for a maximum of five years (data lock 31st December 2022). Imaging was performed if recurrence was suspected. …”
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Assessing the perceived influence of religion on brain health among adults in the United Arab Emirates—the Global Brain Health Survey: a cross-sectional study by Iffat Elbarazi, Aminu S. Abdullahi, Karim Abdel Aziz, Emmanuel Stip, Emmanuel Stip, Emmanuel Stip, Isabelle Budin-Ljøsne, Javaid Nauman, Javaid Nauman, Javaid Nauman

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Identification of Specific Abnormal Brain Functional Activity and Connectivity in Cancer Pain Patients: A Preliminary Resting-State fMRI Study by Hua Y, Geng Y, Liu S, Xia S, Liu Y, Cheng S, Chen C, Pang C, Zhao Z, Peng B, Dai Y, Ji J, Wu D

“…The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jiansong Ji; Dan Wu, Email jjstcty@wmu.edu.cn; 215066083@qq.comObjective: This study investigates the differences in brain functional activity and connectivity patterns between Cancer Pain (CP) patients and Healthy Controls (HCs) using resting-state functional magnetic resonance imaging (rs-fMRI) to identify potential neuroimaging biomarkers.Methods: This study collected rs-fMRI data from 25 CP patients and 25 hCs, processed the functional MRI images, and calculated metrics such as amplitude of low-frequency fluctuation (ALFF), Regional Homogeneity (ReHo), and FC. …”
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A novel deep learning approach for predicting stone-free rates post-ESWL on uncontrasted CT by Ozgur Efiloglu, Muhammed Yildirim, Kadir Yildirim, Harun Bingol, Mustafa Kaan Akalin, Meftun Culpan, Bilal Alatas, Asif Yildirim

“…In our work, we sought to assess the efficacy of the artificial intelligence model developed using non-contrast computed tomography (CT) images in predicting stone-free rates for ESWL. The main difference between this study and other studies is that it proposes an artificial intelligence-based model that predicts the success of ESWL treatment using artificial intelligence methods. …”
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Modified Whale Optimization Algorithm for Multiclass Skin Cancer Classification by Abdul Majid, Masad A. Alrasheedi, Abdulmajeed Atiah Alharbi, Jeza Allohibi, Seung-Won Lee

“…However, traditional visual inspection methods are time-consuming and prone to errors due to artifacts and noise in dermoscopic images. To address these challenges, this paper proposes an innovative deep learning-based framework that integrates an ensemble of two pre-trained convolutional neural networks (CNNs), SqueezeNet and InceptionResNet-V2, combined with an improved Whale Optimization Algorithm (WOA) for feature selection. …”
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Deep Learning Evaluation of Glaucoma Detection Using Fundus Photographs in Highly Myopic Populations by Yen-Ying Chiang, Ching-Long Chen, Yi-Hao Chen

“…We used two classification models with the convolutional block attention module (CBAM), an attention mechanism module that enhances the performance of convolutional neural networks (CNNs), to investigate glaucoma cases. The learning data of this experiment were evaluated through fivefold cross-validation. …”
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THEORETICAL AND METHODOLOGICAL ASPECTS OF USING INFORMATION ANDCOGNITIVE TECHNOLOGIES IN THE TRAINING OF TRANSPORT SPECIALISTS by Lavrentieva Olena, Krupskyi Oleksandr

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Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading by Jiabin Yu, Qi Liu, Chenjie Xu, Qinli Zhou, Jiajun Xu, Lingying Zhu, Chen Chen, Yahan Zhou, Binggang Xiao, Lin Zheng, Xiaofeng Zhou, Fengming Zhang, Yuhang Ye, Hongmei Mi, Dongping Zhang, Li Yang, Zhiwei Wu, Jiayi Wang, Ming Chen, Zhirui Zhou, Haoyang Wang, Vicky Y. Wang, Enyu Wang, Dong Xu

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Utility of an artificial intelligence-based lung CT airway model in the quantitative evaluation of large and small airway lesions in patients with chronic obstructive pulmonary dis... by Zheng Liu, Jing Li, Bo Li, Guozhen Yi, Shaoqian Pang, Ruinan Zhang, Peixiu Li, Zhaoping Yin, Jing Zhang, Bingxin Lv, Jingjing Yan, Jiao Ma

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