Targeting macrophages and ion homeostasis in T2D: new genes and therapeutic pathways identified by Lisha Mou, Lisha Mou, Tony Bowei Wang, Ying Lu, Ying Lu, Zijing Wu, Zijing Wu, Yuxian Chen, Ziqi Luo, Xinyu Wang, Zuhui Pu, Zuhui Pu

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Dexmedetomidine and the glymphatic system: a new perspective in managing postoperative cognitive dysfunction by Sha-Sha Zhang, Fan-Geng Meng, Yuan-Yuan Rong, Yi-Wen Zhang, Hua-Qin Liu

“…The review emphasizes the need for future studies to incorporate multimodal imaging, integrated mechanistic analysis, and identification of high-risk patient subgroups, in order to facilitate the clinical translation of Dex as a glymphatic-targeted neuroprotective agent.…”
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Differentiating biomarker features and familial characteristics of B-SNIP psychosis Biotypes by David A. Parker, Rebekah L. Trotti, Jennifer E. McDowell, Sarah K. Keedy, Matcheri S. Keshavan, Godfrey D. Pearlson, Elliot S. Gershon, Elena I. Ivleva, Ling-Yu Huang, Kodiak Sauer, S. Kristian Hill, John A. Sweeney, Carol A. Tamminga, Brett A. Clementz

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Physical activity relates to carotid plaque vulnerability in older persons with subclinical carotid atherosclerosisResearch in context by Luoshiyuan Zuo, Maryam Kavousi, Julie A.E. Van Oortmerssen, Trudy Voortman, M Kamran Ikram, Daniel Bos

“…This work was further supported by the Leducq Foundation COMET Network. The funder of the study had no role in study design, data collection, data analysis, data interpretation, writing, or submission of the report.…”
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Long-Term Blood Pressure Variability and Risk of Age-Related Macular Degeneration in Older Adults: The ALIENOR Study by Blondy Kayembe-Mulumba, MD, MPH, Karen Leffondré, PhD, Bénédicte M.J. Merle, PhD, Jean-François Korobelnik, MD, PhD, Catherine Helmer, MD, PhD, Christophe Tzourio, MD, PhD, Cécile Delcourt, PhD, Audrey Cougnard-Grégoire, PhD, Marie-Noëlle Delyfer, MD, PhD

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Classification of finger movements through optimal EEG channel and feature selection by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

“…In the current BCI research context, apart from predicting extremity movements, recent BCI studies have been interested in accurately predicting finger movements of the same hand using different pattern recognition methods over EEG data collected based on motor imagery (MI), through which a mental image of the desired action is generated when a person ideally simulates or imagines carrying out a certain motor task. …”
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A review of machine learning and deep learning for Parkinson’s disease detection by Hajar Rabie, Moulay A. Akhloufi

“…This article presents a novel review of Machine Learning (ML) and Deep Learning (DL) techniques for PD detection and progression monitoring, offering new perspectives by integrating diverse data sources. We examine the public datasets recently used in studies, including audio recordings, gait analysis, and medical imaging. …”
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Estimation and evaluation of iron reserves in the eastern area of Eileh1 mine, Razavi Khorasan province by Hamid Esmati Daroneh, Maryam Gholamzadeh

“…All estimation methods require exploratory data analysis, and numerous statistical techniques can be employed to analyze this data. …”
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Correlated Resting-State Functional MRI Activity of Frontostriatal, Thalamic, Temporal, and Cerebellar Brain Regions Differentiates Stroke Survivors with High Compared to Low Depre... by Peter Goodin, Gemma Lamp, Rishma Vidyasagar, Alan Connelly, Stephen Rose, Bruce C. V. Campbell, Tamara Tse, Henry Ma, David Howells, Graeme J. Hankey, Stephen Davis, Geoffrey Donnan, Leeanne M. Carey

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Decoding Schizophrenia: How AI-Enhanced fMRI Unlocks New Pathways for Precision Psychiatry by Valeria Di Stefano, Martina D’Angelo, Francesco Monaco, Annarita Vignapiano, Vassilis Martiadis, Eugenia Barone, Michele Fornaro, Luca Steardo, Marco Solmi, Mirko Manchia, Luca Steardo

“…Moreover, ethical considerations surrounding data integrity, algorithmic transparency, and patient individuality must guide AI’s integration into psychiatry. …”
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The Effect of Swallowing Action Observation Therapy on Resting fMRI in Stroke Patients with Dysphagia by Ming Zeng, Zhongli Wang, Xuting Chen, Meifang Shi, Meihong Zhu, Jingmei Ma, Yunhai Yao, Yao Cui, Hua Wu, Jie Shen, Lingfu Xie, Jianming Fu, Xudong Gu

“…In order to assess the differences in mfALFF values between patients before treatment and HCs, the fractional amplitude of low-frequency fluctuations (fALFF) in three frequency bands (conventional frequency band, slow-4, and slow-5) were calculated for fMRI data. The significant brain regions were selected as regions of interest (ROIs) for subsequent analysis. …”
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GrainNet: efficient detection and counting of wheat grains based on an improved YOLOv7 modeling by Xin Wang, Changchun Li, Chenyi Zhao, Yinghua Jiao, Hengmao Xiang, Xifang Wu, Huabin Chai

“…Results To enable fast and accurate counting of wheat grains under severe adhesion and complex scenarios, this study collected images of wheat grains from different varieties, backgrounds, densities, imaging heights, adhesion levels, and other natural conditions using various imaging devices and constructed a comprehensive wheat grain dataset through data enhancement techniques. …”
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Implementation and Impact Assessment of Organic Crop Rotation Techniques for Soil Health Improvement in Temperate Agroecosystems by Shnain Ammar H., Abed Z., Siri Dharmapuri

“…Time series data analysis is performed by LSTM networks to make predictions regarding the trends of soil health as well as to predict the long-term results from crop rotation strategy. …”
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Single-cell sequencing unveils the transcriptomic landscape of castration-resistant prostate cancer-associated fibroblasts and their association with prognosis and immunotherapy re... by Yifeng Qiu, Yuhan Wang, Jiahe Liu, Kai Sun, Baohua Liu, Qi Hou

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Impact of Y chromosome loss on the risk of Parkinson's disease and progressionResearch in context by Junhao Wang, Xinyi Chen, Wenxuan Du, Cha Lin, Yu Liao, Jean-Christophe Corvol, Jodi Maple-Grødem, Meghan C. Campbell, Alexis Elbaz, Suzanne Lesage, Alexis Brice, Michael A. Schwarzschild, Pille Taba, Sulev Kõks, Guido Alves, Ole-Bjørn Tysnes, Joel S. Perlmutter, Baijayanta Maiti, Jacobus J. van Hilten, Roger A. Barker, Caroline H. Williams-Gray, Clemens R. Scherzer, Ganqiang Liu, Ganqiang Liu, Rebecca R. Valentino, Zhixiang Liao, Joseph J. Locascio, Jean-Christophe Corvol, Xianjun Dong, Jodi Maple-Grødem, Meghan C. Campbell, Alexis Elbaz, Suzanne Lesage, Alexis Brice, Graziella Mangone, John H. Growdon, Albert Y. Hung, Michael A. Schwarzchild, Michael T. Hayes, Anne-Marie Wills, Todd M. Herrington, Bernard Ravian, Ira Shoulson, Pille Taba, Sulev Kõks, Thomas G. Beach, Florence Cormier-Dequaire, Guido Alves, Ole-Bjørn Tysnes, Joel S. Perlmutter, Peter Heutink, Jacobus J. van Hilten, Meike Kasten, Brit Mollenhauer, Claudia Trenkwalder, Christine Klein, Roger A. Barker, Caroline H. Williams-Gray, Johan Marinus, Clemens R. Scherzer

“…In the Parkinson's Progression Markers Initiative (PPMI) cohort, we further compared brain structure using T1-weighted magnetic resonance imaging (MRI) scans, and carried out brain network functional connectivity analysis based on resting-state functional MRI (rs-fMRI) datasets. …”
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A semantic strength and neural correlates in developmental dyslexia by Sladjana Lukic, Sladjana Lukic, Sladjana Lukic, Fei Jiang, Maria Luisa Mandelli, Maria Luisa Mandelli, Ting Qi, Sarah M. Inkelis, Sarah M. Inkelis, Emily Rosenthal, Emily Rosenthal, Zachary Miller, Zachary Miller, Emma Wellman, Emma Wellman, Silvia A. Bunge, Silvia A. Bunge, Silvia A. Bunge, Maria Luisa Gorno-Tempini, Maria Luisa Gorno-Tempini, Christa Watson Pereira, Christa Watson Pereira

“…Differential dynamic rs-fMRI connectivity (shorter average dwell time and greater brain state switches) was observed between the high and average groups in a large-scale bilateral frontal-temporal-occipital network.DiscussionThese data demonstrate that a subgroup of children with dyslexia perform above average on semantic fluency tasks and their performance is strongly linked to distinct psycholinguistic patterns and differences in a task-free resting-state brain network, which includes regions previously implicated in semantic processing. …”
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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

“…In-situ measurements often are insufficient for accounting for spatial variability at large scales (>100 km) due to the scarcity of gauge networks. To tackle this issue, remotely sensed evaporation is often used. …”
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Human multiethnic radiogenomics reveals low-abundancy microRNA signature in plasma-derived extracellular vesicles for early diagnosis and molecular subtyping of pancreatic cancer by Jianying Xu, Wenjie Shi, Yi Zhu, Chao Zhang, Julia Nagelschmitz, Maximilian Doelling, Sara Al-Madhi, Ujjwal Mukund Mahajan, Maciej Pech, Georg Rose, Roland Siegfried Croner, Guoliang Zheng, Christoph Kahlert, Ulf Dietrich Kahlert

“…In this multiethnic study involving human subjects, we developed a liquid biopsy signature based on extracellular vesicle (EV)-derived microRNAs (miRNAs) linked to radiomics features extracted from patients’ tumor imaging. We integrated eight datasets containing clinical records, imaging data of benign and malignant pancreatic lesions, and small RNA sequencing data from plasma-derived EVs of PC patients. …”
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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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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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