Assessing the Severity of ODT and Factors Determinants of Late Arrival in Young Patients with Acute Ischemic Stroke by Zhu L, Li Y, Zhao Q, Li C, Wu Z, Jiang Y

“…Pre-hospital delays are prevalent, particularly in China, yet targeted research on the youth population remains scarce.Methods: In this retrospective cohort study, data from AIS patients aged 18– 50 admitted to Longhua District People’s Hospital, Shenzhen from December 2021 to December 2023 were analyzed using XGBoost and Random Forest machine learning algorithms, coupled with SHAP visualization, to identify factors contributing to pre-hospital delays.Results: Among 1954 AIS patients, 528 young patients were analyzed. …”
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Pan-Genome-Based Characterization of the SRS Transcription Factor Family in Foxtail Millet by Ruimiao Li, Cuiyun Lei, Qiang Zhang, Xiaomeng Guo, Xiting Cui, Xingchun Wang, Xukai Li, Jianhua Gao

“…The Short Internodes-Related Sequence (SRS) family, a class of plant-specific transcription factors crucial for diverse biological processes, was systematically investigated in foxtail millet using pan-genome data from 110 core germplasm resources as well as two high-quality genomes (<i>xm</i> and Yu1). …”
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Comprehensive Review of Multidetector Computed Tomography (MDCT) in the Assessment of Blunt Cervical Spine Trauma in Adults by Akash Kumbhalkar, Nikhita Dhange, Neha Nawale, Sanket Mahajan

“…Current diagnostic imaging has replaced radiography mostly because of better visualization and sensitivity, especially among high-risk patient groups. …”
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Memory Mining and Spatial Transformation of Daily Landscape in Renewal of Tianjin Old City by Chunyan ZHANG, Xinyi ZHANG, Tianying HOU

“…These carriers include local chronicles, literary works, poems, paintings, photographs, oral histories, recorded videos, etc, encompassing the three data modalities of textual, visual, and audiovisual formats. 3) Data collection and quantitative analysis: This research combines traditional research methods with digital technologies, including text mining, semantic sentiment analysis, and data visualization. …”
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Trends and Patterns of Antimicrobial Resistance in a Tertiary Care Hospital in Bangladesh by Sangjukta Roy, Hridika Talukder Barua, Mohammad Julhas Sujan, Akram Hossain, Shyamal Kumar Paul, Syeda Anjuman Nasreen, Salma Ahmed, Nazia Haque, Zakir Hossain Habib, Aninda Rahman, S. M. Shahriar Rizvi, Md. Abul Hasnat, Soo Young Kwon, John Stelling, Sanjay Gautam, Alina Shaw, Florian Marks, Nimesh Poudyal

“…All data were entered, cleaned, and analyzed using the software Stata Version-16.0, WHONET, a microbiology laboratory data management solution, and Quick Analysis of Antimicrobial Patterns and Trends (QAAPT), an AMR data visualization platform. …”
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Effects of 12-week pilates reformer training on the biomechanics of Latin dance Cha-Cha circle chasing technique by Li Che, Yijia Zhou, Ying Wang

“…Data analysis and visualization were performed using Graph Prism 10.0 software, and statistical analyses were conducted with SPSS software (Version 22). …”
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A bibliometric analysis of research trends in mesenchymal stem cell therapy for neonatal bronchopulmonary dysplasia: 2004–2024 by Lu Bai, Yue Xin

“…The search query combined terms related to BPD and MSCs, focusing on English-language articles and reviews. After retrieval, data were cleaned through duplicate removal and relevance verification processes. …”
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ViTAU: Facial paralysis recognition and analysis based on vision transformer and facial action units by Jia GAO, Wenhao CAI, Junli ZHAO, Fuqing DUAN

“…Subsequently, we analyzed the AU data to assess the activity of facial muscles, allowing for a deeper evaluation of the affected areas. …”
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Unlocking liver physiology: comprehensive pathway maps for mechanistic understanding by Luiz Ladeira, Anouk Verhoeven, Jonas van Ertvelde, Jian Jiang, Alessio Gamba, Julen Sanz-Serrano, Tamara Vanhaecke, Harm J. Heusinkveld, Ramiro Jover, Mathieu Vinken, Liesbet Geris, Liesbet Geris, Liesbet Geris, Bernard Staumont

“…The interactive maps enable visualization of molecular pathways, linkage to external ontologies, and overlay of experimental data. …”
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Future Me, a Prospection-Based Chatbot to Promote Mental Well-Being in Youth: Two Exploratory User Experience Studies by Martin Dechant, Eva Lash, Sarah Shokr, Ciarán O'Driscoll

“…While LLMs generate responses based on statistical patterns in training data rather than through conscious reasoning, they can be designed to support important psychological processes. …”
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Statistics on Differences in the Institutional Composition of the National Economy and Issues Related to its Harmonization by O. V. Morozov, A. G. Biryukov, M. A. Vasiliev

“…Tabular methods of visualization of research results and statistical methods of source data processing were used. …”
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High angular resolution diffusion-weighted imaging and higher order tractography of the white matter tracts in the anterior thalamic area: Insights into deep brain stimulation targ... by Ruhunur Özdemir, Kai Lehtimäki, Eetu Siitama, Timo Möttönen, Joonas Haapasalo, Soila Järvenpää, Hannu Eskola, Jukka Peltola

“…Objective: To demonstrate ANT-related fiber systems based on histology in vivo employing multi-shell/multi-tissue constrained spherical deconvolution (MSMT-CSD) based deterministic and probabilistic tractography using a sophisticated scanning protocol of 3T high angular resolution diffusion-weighted imaging (HARDI) data in healthy volunteers. Method: HARDI data was acquired from five healthy volunteers in a 3T Siemens MAGNETOM Skyra Magnetic resonance imaging (MRI) machine using multiple b-values (1000, 2000, and 3000), 64 directions, and further preprocessed for tractography. …”
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Investigating the Therapeutic Mechanisms of Honeysuckle (China) in Sepsis Through Network Pharmacology and Experimental Validation by Liu P, Zeng L, Fu H, Li F

“…Network pharmacology analysis employed R software for extensive data processing. A Student’s T-test compared the mean values of the two groups in the in vitro experimental data. …”
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Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review by Md Shofiqul Islam, Fahmid Al Farid, F. M. Javed Mehedi Shamrat, Md Nahidul Islam, Mamunur Rashid, Bifta Sama Bari, Junaidi Abdullah, Muhammad Nazrul Islam, Md Akhtaruzzaman, Muhammad Nomani Kabir, Sarina Mansor, Hezerul Abdul Karim

“…This article starts with an overview of imaging-based SARS-CoV-2 diagnosis, covering the basic steps of deep learning-based SARS-CoV-2 diagnosis, SARS-CoV-2 data sources, data pre-processing methods, the taxonomy of deep learning techniques, findings, research gaps and performance evaluation. …”
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Investigating Potential Gender Differences in ChatGPT-Diagnosed Clinical Vignettes by Anjali Mediboina, Meghana Bhupathi, Keerthana Janapareddy

“…Discrepancies were resolved through a blind consensus process. Data analysis and visualization was done using RStudio v4.3.2, with statistical significance between accuracy and completeness was determined using Spearman’s R and Mann-Whitney U Tests. …”
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Prediction of peripheral lymph node metastasis (LNM) in thyroid cancer using delta radiomics derived from enhanced CT combined with multiple machine learning algorithms by Wenzhi Wang, Feng Jin, Lina Song, Jinfang Yang, Yingjian Ye, Junjie Liu, Lei Xu, Peng An

“…It increased the clinical utility and interpretability of the predictions through SHAP (SHapley Additive exPlanation) values and nomograms for model explanation and visualization. Methods Clinical and enhanced CT image data from 375 patients with thyroid cancer confirmed by postoperative pathology at Xiangyang No. 1 People's Hospital were collected from January 2015 to July 2023. …”
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Skin hyperspectral imaging and machine learning to accurately predict the muscular poly-unsaturated fatty acids contents in fish by Yi-Ming Cao, Yan Zhang, Qi Wang, Ran Zhao, Mingxi Hou, Shuang-Ting Yu, Kai-Kuo Wang, Ying-Jie Chen, Xiao-Qing Sun, Shijing Liu, Jiong-Tang Li

“…Hyperspectral images of the live fish skin were acquired in the 400–1000 nm spectral range. The spectral data were preprocessed using Savitzky–Golay (SG), multivariate scattering correction (MSC), and standard normal variable (SNV) methods, respectively. …”
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Deep learning model for diagnosis of thyroid nodules with size less than 1 cm: A multicenter, retrospective study by Na Feng, Shanshan Zhao, Kai Wang, Peizhe Chen, Yunpeng Wang, Yuan Gao, Zhengping Wang, Yidan Lu, Chen Chen, Jincao Yao, Zhikai Lei, Dong Xu

“…Furthermore, feature heatmap visualization showed that TNT-Net could extract richer and more energetic malignant nodule patterns. …”
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Quantification of rehabilitation for patients with Parkinson’s disease and related disorders using wearable devices; a proof of concept by Hikaru Kamo, Hikaru Kamo, Genko Oyama, Genko Oyama, Genko Oyama, Genko Oyama, Genko Oyama, Genko Oyama, Koichi Nagaki, Koichi Nagaki, Koichi Nagaki, Nobutaka Hattori, Nobutaka Hattori, Nobutaka Hattori, Nobutaka Hattori, Nobutaka Hattori, Nobutaka Hattori, Nobutaka Hattori, Nobutaka Hattori, Nobutaka Hattori, Nobutaka Hattori

“…Each rehabilitation session was quantified and visualized using radar charts.DiscussionThis study offers insight into the quantification and visualization of rehabilitation effects in patients with progressive neurodegenerative diseases presenting with parkinsonism. …”
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Gene and genotype frequencies of immunoglobulin-like natural killer cell receptors in the population of Samara region by D. Yu. Klyuchnikov, Yu. Yu. Teterina, O. V. Tyumina, I. L. Davydkin

“…To study the frequencies of KIR genes and genotypes in the population of Samara region and to compare the data with previously described Russian populations.Materials and methods. …”
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