Exploring the changes in functional connectivity of the limbic system in Patients with amnestic mild cognitive impairment treated by acupuncture based on fMRI by Han Yingmei, Li Yijie, Zhang Heng, Feng Ze, Li Weiqing, Zhang Hanxi, Yang Ming, Chu Bingyuan, Wang Feng

“…We conduct an investigation of the FC of limbic system networks in amnestic mild cognitive impairment (aMCI) and speculate on the brain effect mechanism of acupuncture therapy based on resting - state Functional Magnetic Resonance Imaging (rs - fMRI).Method50 patients with aMCI and 41 healthy participants (HC group) from the First Affiliated Hospital of Heilongjiang University of Chinese Medicine in Harbin City, Heilongjiang Province, China, were recruited.rs-fMRI data of all participants were collected. …”
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SAOCOM-1 L-Band DInSAR Time Series Generation Through the P-SBAS Approach: Algorithm Extension and Products Analysis by Claudio De Luca, Yenni Lorena Belen Roa, Manuela Bonano, Francesco Casu, Pablo Euillades, Leonardo Euillades, Marianna Franzese, Michele Manunta, Muhammad Yasir, Giovanni Onorato, Pasquale Striano, Luigi Dini, Deodato Tapete, Riccardo Lanari

“…In particular, we first discuss the algorithmic extensions allowing us to retrieve SAOCOM-1 DInSAR products, with a main focus on the exploitation of Stripmap SAR images and multilook interferograms. These algorithmic improvements are relevant to the adjacent single look complex (SLC) image slices merging to the multitemporal residual orbital artifacts mitigation and to the phase unwrapping procedure enhancement. …”
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Deep learning analysis of fMRI data for predicting Alzheimer's Disease: A focus on convolutional neural networks and model interpretability. by Xiao Zhou, Sanchita Kedia, Ran Meng, Mark Gerstein

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Air-pollution-satellite-based CO₂ emission inversion: system evaluation, sensitivity analysis, and future research direction by H. Li, H. Li, J. Qiu, J. Qiu, B. Zheng, B. Zheng

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Optimal machine learning algorithms and UAV multispectral imagery for crop phenotypic trait estimation: a comprehensive review and meta-analysis by Adama Ndour, Gerald Blasch, João Valente, Bisrat Haile Gebrekidan, Tesfaye Shiferaw Sida

“…Ultimately, the challenges and future research prospects of UAV-based predictions related to the phenotype data variability, the choice of UAV platform, the model complexity and interpretability are discussed. Since previous studies described the broad applications of UAVs and sensors in agriculture, this review aimed to provide a targeted, systematic and quantitative analysis of optimal use of machine learning algorithms and UAV-based multispectral imagery for plant phenotyping.…”
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Computational fluid dynamics analysis for predicting microaneurysm formation in parent arteries of unruptured cerebral aneurysms: implications for neck clipping safety by Kento Sasaki, Ichiro Nakahara, Kotaro Kihara, Shiho Tanaka, Riki Tanaka, Akiko Hasebe, Jun Tanabe, Kenichi Haraguchi, Yasuhiro Yamada, Fuminari Komatsu, Mai Okubo, Tomoka Katayama, Yoko Kato, Yuichi Hirose

“…Surgical neck clipping remains the standard for preventing rupture, but intraoperative rupture rates vary significantly (3–50%) and are influenced by vascular complexity and technical challenges. Thinning of the vascular wall near the aneurysm neck, particularly with microaneurysm formation, has emerged as a significant risk factor, yet these changes often go undetected in preoperative imaging.ObjectiveThis study aimed to evaluate the utility of computational fluid dynamics (CFD) analysis for predicting microaneurysm formation in the parent artery adjacent to unruptured cerebral aneurysms, using the parent artery radiation sign (PARS) as a predictive marker.MethodsWe conducted a single-center, retrospective observational study of 89 patients with unruptured middle cerebral artery (MCA) aneurysms treated with neck clipping from May 2020 to April 2022. …”
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Three‐Dimensional Mapping of Distal Clavicle Fractures: Displacement Patterns and Clinical Implications for Surgical Management by Jinquan Liu, Jingyi Mi, Yesheng Jin, Fang Lin, Yongwei Wu, Yunhong Ma, Jun Liu, Zhonghua Xu, Li Tang, Aiping Zhu, Danfeng Jing, Yongjun Rui, Ming Zhou

“…Fracture line analysis further enhances classification accuracy and informs imaging protocols and fixation strategies tailored to specific fracture types.…”
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AnVILWorkflow: A runnable workflow package for Cloud-implemented bioinformatics analysis pipelines [version 1; peer review: 2 approved] by Sean Davis, Marcel Ramos, Michael C. Schatz, Kai Gravel-Pucillo, Levi Waldron, Sehyun Oh, Martin Morgan, Vincent Carey

“…We demonstrate the utility of AnVILWorkflow for three use cases: bulk RNA-seq analysis with Salmon, metagenomics analysis with bioBakery, and digital pathology image processing with PathML. …”
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Present-day changes of mountain glaciers on the southern slope of the Dzhungarian Alatau range by A. L. Kokarev, I. N. Shesterova

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Multi-Parameter Water Quality Inversion in Heterogeneous Inland Waters Using UAV-Based Hyperspectral Data and Deep Learning Methods by Hongran Li, Nuo Wang, Zixuan Du, Deyu Huang, Mengjie Shi, Zhaoman Zhong, Dongqing Yuan

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Can Separation Enhance Fusion? An Efficient Framework for Target Detection in Multimodal Remote Sensing Imagery by Yong Wang, Jiexuan Jia, Rui Liu, Qiusheng Cao, Jie Feng, Danping Li, Lei Wang

“…Many traditional methods primarily rely on unimodal data, which often struggle to address the complexities of remote sensing environments. Furthermore, small-target detection remains a critical challenge in remote sensing image analysis, as small targets occupy only a few pixels, making feature extraction difficult and prone to errors. …”
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Utility of artificial intelligence in a binary classification of soft tissue tumors by Jing Di, Caylin Hickey, Cody Bumgardner, Mustafa Yousif, Mauricio Zapata, Therese Bocklage, Bonnie Balzer, Marilyn M. Bui, Jerad M. Gardner, Liron Pantanowitz, Shadi A. Qasem

“…The results showed an overall concordance rate of 70.4% compared to the reference diagnosis. (2) Identification of cell-specific parameters that can distinguish benign and malignant STT. Using an image analysis software (QuPath) and a cohort of 95 cases, several cell-specific parameters were found to be statistically significant, most notably cell count, nucleus/cell area ratio, nucleus hematoxylin density mean, and cell max caliper. (3) Evaluation of machine learning library (Scikit-learn) in differentiating benign and malignant STTs. …”
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AI-based digital histopathology for perihilar cholangiocarcinoma: A step, not a jump by Dieter P. Hoyer, Saskia Ting, Nina Rogacka, Sven Koitka, René Hosch, Nils Flaschel, Johannes Haubold, Eugen Malamutmann, Björn-Ole Stüben, Jürgen Treckmann, Felix Nensa, Giulia Baldini

“…Convolutional neural networks (CNN) analyzed whole-slide images. Survival models incorporated clinical and histological features. …”
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Retroperitoneal mucinous cystadenoma with neuroendocrine differentiation: a rare case and comprehensive approach to diagnosis and management by Yen Ho, Wei-Yu Chen, Chung-Howe Lai, Syuan-Hao Syu

“…Histopathological analysis confirmed the diagnosis of a mucinous cystadenoma with neuroendocrine cell proliferation. …”
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Improvement of Terrain Entropy Calculation for Grid Digital Elevation Models Considering Spatial Structural Features by Fangbin Zhou, Tianyi Yao, Junwei Bian, Yun Xiao

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Deciphering shared molecular dysregulation across Parkinson’s disease variants using a multi-modal network-based data integration and analysis by Alise Zagare, Irina Balaur, Adrien Rougny, Claudia Saraiva, Matthieu Gobin, Anna S. Monzel, Soumyabrata Ghosh, Venkata P. Satagopam, Jens C. Schwamborn

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Conceptual Validation of High-Precision Fish Feeding Behavior Recognition Using Semantic Segmentation and Real-Time Temporal Variance Analysis for Aquaculture by Han Kong, Junfeng Wu, Xuelan Liang, Yongzhi Xie, Boyu Qu, Hong Yu

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High-dimensional mediation analysis reveals the mediating role of physical activity patterns in genetic pathways leading to AD-like brain atrophy by Hanxiang Xu, Shizhuo Mu, Jingxuan Bao, Christos Davatzikos, Haochang Shou, Li Shen

“…Abstract Background Alzheimer’s disease (AD) is a complex disorder that affects multiple biological systems including cognition, behavior and physical health. …”
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Dynamically Triggered Damage Around Rock Tunnels: An Experimental and Theoretical Investigation by Wanlu Wang, Ming Tao, Wenjun Ding, Rui Zhao

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Tectonic characteristics and numerical simulation analysis of an arcuate structural belt：A case study of the middle and southern segments of the Red River fault by WANG Chenxu, LI Xi

“…This debate is strongly correlated with the complex stress-strain patterns surrounding the southeastern margin of the Qinghai-Tibet Plateau. …”
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