Three-Dimensional Microscopic Characteristics of the Human Uterine Cervix Evaluated by Microtomography by Ana Paula Pinho Matos, Osvaldo Luiz Aranda, Edson Marchiori, Alessandra Silveira Machado, Adriana José Da Penha Moreira, Heron Werner, Edward Araujo Júnior, Roberta Granese, Gloria Calagna, Pedro Teixeira Castro

“…In addition, 2D images could demonstrate the difference in tissue orientation of the collagen on the cervical stroma in a large field of view. …”
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Improvement of the Physical and Mechanical Properties of the Cutting Tool by Applying Wear-resistant Coatings Based on Ti, Al, Si, and N by Hovorun T., Khaniukov K., Varakin V., Pererva V., Vorobiov S., Burlaka А., Khvostenko R.

“…Mechanisms of strengthening the wear-resistant coating for materials have been analyzed under the impact of technological parameters of coating condensation process on its structure parameters and mechanical properties, formation of single and multi-element coatings based on titanium nitrides, aluminum, and silicon, the transformation of coating properties by obtaining complex coatings, and principles formation of complex coatings designed for different cutting tools. …”
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Applicability of Technological Tools for Digital Agriculture with a Focus on Estimating the Nutritional Status of Plants by Bianca Cavalcante da Silva, Renato de Mello Prado, Cid Naudi Silva Campos, Fábio Henrique Rojo Baio, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo Teodoro, Dthenifer Cordeiro Santana

“…To ensure the effectiveness of spectral reflectance-based diagnostics, it is essential to conduct additional studies in commercial fields across different regions. These studies are crucial to confirm the accuracy of these methods and to strengthen the development of digital and precision agriculture.…”
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Association between the atherogenic index of plasma and major adverse cardiovascular events in patients with premature coronary artery disease by Xiangzhen Ran, Zhenguo Wu, Dachuan Guo, Shuai Zhang, Li Liu, Sha Chen, Chunfei Song, Cheng Zhang, Jianmin Yang

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A hybrid multi-instance learning-based identification of gastric adenocarcinoma differentiation on whole-slide images by Mudan Zhang, Xinhuan Sun, Wuchao Li, Yin Cao, Chen Liu, Guilan Tu, Jian Wang, Rongpin Wang

“…Methods and materials A hybrid multi-instance learning model is proposed based on the Transformer and the graph attention network, called TGMIL, to classify the differentiation of gastric adenocarcinoma. …”
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Unpaired Spatio-Temporal Fusion for Remote Sensing Images via Deformable Global-Local Feature Alignment by Xinlan Ding, Huihui Song, Xu Zhang

“…Given a coarse-resolution remote sensing image on a prediction date as input, existing spatio-temporal fusion methods commonly use a pair of coarse and fine resolution images that are acquired close to the prediction date. …”
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Construction of machine learning-based models for screening the high-risk patients with gastric precancerous lesions by Shuxian Yu, Haiyang Jiang, Jing Xia, Jie Gu, Mengting Chen, Yan Wang, Xiaohong Zhao, Zehua Liao, Puhua Zeng, Tian Xie, Xinbing Sui

“…However, accurate non-invasive methods for distinguishing between PLGC and GC are currently lacking. …”
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SEM Deep Learning Multiclass Noise Level Classification With Data Augmentation by Kai Liang Lew, Kok Swee Sim, Shing Chiang Tan

“…GNLCN is compared with other state-of-the-art (SOTA) models, including ConvNeXT, ResNeXt, EfficientNetV2, Vision Transformer, and VGG-19. Three different SEM datasets are used, namely the NFFA-EUROPE dataset, EPFL CVLab EM dataset, and Biofilms SEM dataset. …”
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A Modern Computer Literacy Course from the Point of View of the New Third Age Generation by E. V. Grokhotova, D. A. Barkhatova

“…These studies are the basis and prove the need to revise existing computer literacy courses and develop new content and teaching methods that take into account the modern needs of third age people.…”
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Contributions of HOX genes to cancer hallmarks: Enrichment pathway analysis and review by Danielle Barbosa Brotto, Ádamo Davi Diógenes Siena, Isabela Ichihara de Barros, Simone da Costa e Silva Carvalho, Bruna Rodrigues Muys, Lucas Goedert, Cibele Cardoso, Jessica Rodrigues Plaça, Anelisa Ramão, Jeremy Andrew Squire, Luiza Ferreira Araujo, Wilson Araújo da Silva

“…The literature has shown that the expression of HOX genes may be increased or decreased in different tumors and that these alterations may differ depending on the specific HOX gene involved and the type of cancer being investigated. …”
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Towards the Performance Characterization of a Robotic Multimodal Diagnostic Imaging System by George Papaioannou, Christos Mitrogiannis, Mark Schweitzer, Nikolaos Michailidis, Maria Pappa, Pegah Khosravi, Apostolos Karantanas, Sean Starling, Christian Ruberg

“…This study presents several performance characterization experiments from a new robotic multimodal imaging system using specially designed calibration methods at different system configurations. Additional musculoskeletal imaging and imaging from a pediatric brain stroke patient without anesthesia are presented for comparisons. …”
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Advancing Pediatric Surgery with Indocyanine Green (ICG) Fluorescence Imaging: A Comprehensive Review by Marco Di Mitri, Annalisa Di Carmine, Benedetta Zen, Edoardo Collautti, Cristian Bisanti, Simone D’Antonio, Michele Libri, Tommaso Gargano, Mario Lima

“…Conclusions: This review highlights ICG fluorescence imaging as an indispensable tool in pediatric surgery, offering transformative potential for improving surgical outcomes and patient safety. …”
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Tongue-LiteSAM: A Lightweight Model for Tongue Image Segmentation With Zero-Shot by Daiqing Tan, Hao Zang, Xinyue Zhang, Han Gao, Ji Wang, Zaijian Wang, Xing Zhai, Huixia Li, Yan Tang, Aiqing Han

“…Additionally, data perturbation techniques were employed to enhance the zero-shot segmentation capability of the model and ensure robust performance across different data sources. Results: Experiments conducted on six distinct tongue image datasets demonstrated that the Tongue-LiteSAM model outperformed traditional convolutional neural network-based models and transformers, the original SAM model, and other related improved models in tongue image segmentation tasks. …”
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Analysis and identification of sulfate sources in groundwater of a typical profile in the Yinchuan Plain by Ning Liu, Wenke Wang, Deshuai Ji, Zongyu Chen, Yazhen Du

“…Study focus: In large watersheds with diverse landforms, multi-level nested groundwater flow systems drive complex sulfate transport and transformation. Focused on a typical profile from the eastern Helan Mountain foothills to the Yellow River Tableland in the Yinchuan Plain. …”
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Abstract 192: Throwing The Kitchen Sink At Tandem Occlusions: A Safety Analysis by Ryan K. Ajgaonkar, Samantha E. Miller, Ameer Hassan

“…There was no significant different in hemorrhagic transformation (OR 1.02, 95% CI 0.49, 2.13), mass effect (OR 1.73, 95% CI 0.79, 3.79), symptomatic intracranial hemorrhage (OR 1.27, 95% CI (0.54, 2.99), asymptomatic intracerebral hemorrhage (OR 0.53, 95% CI 0.12, 2.43) or death (OR 0.55, 95% CI 0.24, 1.22) between groups. …”
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A novel dual embedding few-shot learning approach for classifying bone loss using orthopantomogram radiographic notes by Pradeep Kumar Yadalam, Amit Rajabhau Pawar, Prabhu Manickam Natarajan, Carlos M. Ardila

“…Methods This study used a dataset of radiographic notes from OPGs gathered at Saveetha Dental College and Hospital in Chennai. …”
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Reducing personal protective equipment waste in the emergency department of a large regional hospital: codesign informed by system science by Mike Forrester, Rebecca Patrick, Steven Allender, Jaithri Ananthapavan, Urvi Thanekar, Hasini Gunasiri, Minoo Naebe, Maryam Naebe

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Dysregulation of protein degradation and alteration of secretome in α-synuclein-exposed astrocytes: implications for dopaminergic neuronal dysfunction by Aishwarya Raj, Roon Banerjee, Vikram Holla, Nitish Kamble, Ravi Yadav, Pramod Kumar Pal, Indrani Datta

“…Variations in membrane association and astrocytic uptake between different α-synuclein forms suggest differences in exocytosis or membrane cleavage, potentially impacting the secretome's influence on dopaminergic neurons. …”
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Comparative analysis of oral microbiome in saliva samples of oral leukoplakia, proliferative leukoplakia and oral squamous cell carcinoma by Rossella Intini, Sol Balsells, Leticia Bagan, Giulio Fortuna, Herve Sroussi, Jose Bagan, Jose Bagan

“…At the phylum level, Firmicutes predominated across all groups, with significantly higher Actinobacteriota levels in OL (p = 0.002).ConclusionDistinct microbial patterns differentiate OL from PVL and OSCC, with OL being different from PVL and OSCC, suggesting progressive microbial dysbiosis in malignant transformation. …”
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Characteristics of Post-Exercise Lower Limb Muscle Tremor Among Speed Skaters by Szymon Kuliś, Przemysław Pietraszewski, Bianca Callegari

“…Tremor amplitude and frequency were measured using an accelerometer, with data log-transformed to normalize the power spectrum distribution. …”
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