Detection and mapping of Antarctic lichen using drones, multispectral cameras, and supervised deep learning by Narmilan Amarasingam, Juan Sandino, Ashray Doshi, Diana King, Elka Blackman, Johan Barthelemy, Barbara Bollard, Sharon A. Robinson, Felipe Gonzalez

“…Two DL methods were evaluated to classify and map Usnea spp., Umbilicaria and Pseudephebe species (black lichen), moss and non-vegetation: method (1) standalone DL model fitting, namely fully convolutional network (FCN), U-Net, and Deeplabv3+, with semi-automatic labelling thresholding using VIs; and method (2) ensemble stacking by using eXtreme gradient boosting (XGBoost) as the input model, whose predictions are used as features for training a U-Net model. …”
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Linking Satellite and Ground Observations of NO₂ in Spanish Cities: Influence of Meteorology and O₃ by Carlos Morillas, Sergio Álvarez, José C. M. Pires, Adrián Jesús García, Sara Martínez

“…Differences between in situ and satellite data were more pronounced in coastal cities, influenced by wind patterns and urban morphology (Madrid: r = 0.86, v = 1.34 m/s; Valencia: r = 0.68, v = 2.97 m/s; Barcelona: r = 0.65, v = 8.04 m/s). …”
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A meta-analysis of resting-state fMRI in postherpetic neuralgia using AES-SDM by Guanzuan Wu, Yurou Luo, Danling Guo, Sangying Lv, Jianfeng Yang

“…This meta-analysis used the anisotropic effect size-signed differential mapping (AES-SDM) approach to evaluate rs-fMRI studies on PHN and to provide more robust insights into the brain networks involved in processing PHN pain.Materials and methodsA systematic search of PubMed, Embase, Web of Science, and the Cochrane Database was performed for rs-fMRI studies comparing PHN patients with healthy controls, up until 1 November 2024. …”
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A novel stemness-related lncRNA signature predicts prognosis, immune infiltration and drug sensitivity of clear cell renal cell carcinoma by Jia Liu, Lin Yao, Yong Yang, Jinchao Ma, Ruijian You, Ziyi Yu, Peng Du

“…We calculated RNA stemness scores (RNAss) for the samples to evaluate their stemness. SRlncRNAs and stemness-related mRNAs (SRmRNAs) in ccRCC were identified through weighted correlation network analysis (WGCNA), which employed sophisticated statistical methodologies to identify interconnected modules of related genes. …”
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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 study aimed to evaluate the association between physical activity and changes in carotid atherosclerotic plaque vulnerability, and the interaction between these two variables with the risk of first-ever stroke. …”
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Development and Validation of a Brain Aging Biomarker in Middle-Aged and Older Adults: Deep Learning Approach by Zihan Li, Jun Li, Jiahui Li, Mengying Wang, Andi Xu, Yushu Huang, Qi Yu, Lingzhi Zhang, Yingjun Li, Zilin Li, Xifeng Wu, Jiajun Bu, Wenyuan Li

“…We proposed a novel brain vision graph neural network (BVGN), incorporating neurobiologically informed feature extraction modules and global association mechanisms to provide a sensitive deep learning–based imaging biomarker. …”
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A 5-Year Follow-Up of Patient-Reported Outcome Measures Following External Beam Radiotherapy or Radical Prostatectomy in Localised Prostate Cancer by Rowan V. David, Peter L. Stapleton, Arman A. Kahokehr, Jason Lee, David I. Watson, John Leung, Michael E. O’Callaghan

“…<b>Results</b>: There were 1720 patients (EBRT n = 1441 vs. RP n = 279) with evaluable EPIC-26 PROMS. Patients in the EBRT group had a higher median age (74 vs. 66, <i>p</i> < 0.001) and National comprehensive Cancer Network (NCCN) high-risk disease (61% vs. 24%, <i>p</i> < 0.001). …”
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Transcriptome sequencing and Mendelian randomization analysis identified biomarkers related to neutrophil extracellular traps in diabetic retinopathy by Linlin Hao, Songhong Wang, Lian Zhang, Lian Zhang, Jie Huang, Yue Zhang, Xuejiao Qin

“…The diagnostic utility of these key genes was evaluated using receiver operating characteristic curve analysis, and their expression levels were examined. …”
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Behavioral and neural effects of temporoparietal high-definition transcranial direct current stimulation in logopenic variant primary progressive aphasia: a preliminary study by Elias D. Granadillo, Elias D. Granadillo, Mason Fellmeth, Vahab Youssofzadeh, Joseph Heffernan, Priyanka P. Shah-Basak, Sara B. Pillay, Candida Ustine, Peter Kraegel, Shelby Schold, Kimberly D. Mueller, Kimberly D. Mueller, Chrysanthy Ikonomidou, Ozioma Okonkwo, Manoj Raghavan, Jeffrey R. Binder

“…Preliminary data on efficacy was evaluated based on relative changes from baseline in language and cognitive scores. …”
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Identification of PRKCQ-AS1 as a Keratinocyte-Derived Exosomal lncRNA That Promotes Th17 Differentiation and IL-17&amp;nbsp;secretion in Psoriasis Through Bioinformatics, Machine L... by Gao P, Gao X, Lin L, Zhang M, Luo D, Chen C, Li Y, He Y, Liu X, Shi C, Yang R

“…This study investigates key exosomal ncRNAs regulating the Th17/IL-17 axis in psoriasis and their mechanisms.Methods: We integrated bulk RNA sequencing datasets from the GEO database to construct and evaluate exosome-related patterns. Subsequently, exosome-related ncRNAs in psoriasis lesions were identified primarily through weighted gene co-expression network analysis and five machine learning algorithms. …”
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Effectiveness of unilateral lower-limb exoskeleton robot on balance and gait recovery and neuroplasticity in patients with subacute stroke: a randomized controlled trial by Congcong Huo, Guangjian Shao, Tiandi Chen, Wenhao Li, Jue Wang, Hui Xie, Yan Wang, Zengyong Li, Pengyuan Zheng, Liguo Li, Luya Li

“…The increased cortical response related to the ipsilesional motor areas and their related functional network is crucial in the rehabilitation of lower limb gait in post-stroke patients.…”
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Efficient Sleep, Enhanced Attention: Exploring the Interplay With RBC-Inflammation Mechanisms in Hypoxic High-Altitude Areas by Shi CY, Xue XJ, Li ZF, Huang XY, Su R, Wang NN, Zhu JG, Li H, Ma HL, Liu M, Zhang DL

“…Participants underwent an attention network test with concurrent electroencephalography to assess attentional function. …”
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Preliminary Results in the Investigation of In Vivo Iliac and Coronary Flow Collision, Vortex Formation, and Disorganized Flow Degeneration: Insights from Invasive Cardiology Based... by Thach Nguyen, Hieu D. Nguyen, Hoang V. K. Dinh, Tien H. T. Dinh, Khiem Ngo, Hieu H. Truong, Hien Q. Nguyen, Vu Tri Loc, Thien Le, Nhi Vo, Trung Q. T. Le, Tam Tran, Chau Dang, Vy Le, Dat Q. Ha, Hadrian Tran, Mihas Kodenchery, Marco Zuin, Gianluca Rigatelli, Miguel Antunes, Quynh T. N. Nguyen, Aravinda Nanjundappa, C. Michael Gibson

“…Each patient underwent an evaluation of flow dynamics and arterial phenomena in both iliac and right coronary arteries. …”
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Natural product Erianin: mitigating FOLFOX toxicity and enhancing against colorectal cancer by Fuqin Yang, Zeqiao Li, Haishan Zhang, Mingxiao Zhang, Zhenwei He, Xiaoqin Zheng, Yingru Zhu, Pei Long, Ruirui Ding, Zhengbin Lin, Lijuan Deng, Lijuan Deng

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Crack Development in Compacted Loess Subjected to Wet–Dry Cycles: Experimental Observations and Numerical Modeling by Yu Xi, Mingming Sun, Gang Li, Jinli Zhang

“…New cracks often branch out and extend along the existing crack network, demonstrating that the initial crack morphology has a controlling effect over the final crack distribution pattern. …”
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Prognostic and immunotherapeutic response prediction in hepatocellular carcinoma: role of non-histone acetylation/deacetylation scoring by Jizhen Li, Sisi Huang, Fangling Yuan, Xunjun Yang, Qipeng Xie

“…Additionally, the response to chemotherapy was evaluated. The TIDE score was also assessed. Results Our analysis showed that HDAC1, HDAC2, and HDAC3 are highly associated with patient prognosis and are centrally located in the PPI network. …”
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Action unit based micro-expression recognition framework for driver emotional state detection by Parul Malik, Jaiteg Singh, Farman Ali, Sukhjit Singh Sehra, Daehan Kwak

“…The proposed method combines a Residual Network (ResNet18) for spatial feature extraction with a Bidirectional Long Short-Term Memory (Bi-LSTM) network for temporal pattern learning. …”
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Cutaneous non-volar melanoma dermoscopy and histopathology correlation: a systematic review protocol by Giuseppe Argenziano, Rita Bouceiro Mendes, Martinha Henrique, Pedro Augusto-Simões

“…Outcomes of interest include the association of at least one of the melanoma dermoscopy features (irregular pigmentation, blue-white veil, atypical network, multicomponent pattern, atypical dots and/or globules, regression, peripheral tan structureless area, negative network, shiny white structures, atypical vessels and streaks/pseudopods), with melanoma Breslow index or other histopathology characteristics (melanoma subtype, mitotic index and presence of ulceration). …”
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Accelerating Streaming Subgraph Matching via Vector Databases by Liuyi Chen, Yi Ding, Xushuo Tang, Fangyue Chen, Siyuan Gong, Xu Zhou, Zhengyi Yang

“…Graphs are widely used in applications such as social network analysis, bioinformatics, and recommendation systems to represent relationships and complex dependencies. …”
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CPG-Based Control of an Octopod Biomimetic Machine Lobster for Mining Applications: Design and Implementation in Challenging Underground Environments by Jianwei Zhao, Haokun Zhang, Mingsong Bao, Boxiang Yin, Yiteng Zhang, Zhen Jiang

“…Central pattern generators (CPGs) have been extensively researched and validated as a well-established methodology for bionic control, particularly within the field of legged robotics. …”
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