Characterization and prognostic of CD8 + TIM3 + CD101 + T cells in glioblastoma multiforme by Hong-Liang Wang, Sai Li, Chun-Chun Ma, Xiang-Hu Zheng, Hao-Yuan Wu, Chen-Xi Chang, Zhi-Hao Yang, Jia-Wei Wang, Fa-Ming Pan, Bing Zhao

“…Pseudotime analysis indicated CD8 + TIM3 + CD101-T cells as precursors to CCT cells, unveiling unique gene expression patterns during this transition. The prognostic model, incorporating 22 gene features via LASSO regression, demonstrated strong predictive ability through Receiver Operating Characteristic (ROC) curves. …”
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Distinct Neural Activities in Hippocampal Subregions Revealed Using a High-Performance Wireless Microsystem with PtNPs/PEDOT:PSS-Enhanced Microelectrode Arrays by Peiyao Jiao, Qianli Jia, Shuqi Li, Jin Shan, Wei Xu, Yu Wang, Yu Liu, Mingchuan Wang, Yilin Song, Yulian Zhang, Yanbing Yu, Mixia Wang, Xinxia Cai

“…A custom NeuroWireless platform was developed for seamless data reception and storage. …”
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The Ecosystem Services Assessment of Wetlands based on the Classification of Hydrological-ecological Structures and Functions (Case study: Shadegan Wetland) by leila Rahimi, Bahram Malekmohammadi, Ahmad reza Yavari

“…The management strategies are developed based on EBM-DPSER model and trade-off analysis of wetland ecosystem services.The most important management strategies include the following: - Preparation of the wetland land use map and zoning of the wetland to appropriate and allowed areas for human activities; - Investigating existing livelihood patterns and providing alternative and eco-friendly livelihoods in the region; - Investigating existing livelihood patterns and providing alternative and eco-friendly livelihoods in the region; - Establishing a legal mechanism for allocating the right of water wetland from the upstream rivers and restoring the wetland share of the agricultural, industrial and energy sectors; - Identifying the main sources of dust and developing biomechanical and bioengineering plans using the existing capacities in the province, especially attracting local people's participation. 4-Conclusion The proposed framework has gone beyond the traditional approaches to assessing and managing wetlands, which have not yet been effective and are not based on the understanding of the structure and functions of wetlands. …”
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Marketing research of the attractiveness of universities by A. Sukha, J. Kripka, A. Bezmenko, N. Chupryna, V. Sazonova, O. Chernysheva

“…In this article we examined the patterns and features of choosing a university by applicants. …”
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IoT‐Based Elderly Health Monitoring System Using Firebase Cloud Computing by Adhan Efendi, Muhammad Imam Ammarullah, Indra Griha Tofik Isa, Meli Puspita Sari, Jasmine Nurul Izza, Yohanes Sinung Nugroho, Hamid Nasrullah, Denny Alfian

“…Future enhancements may include integration with artificial intelligence technologies such as machine learning and deep learning to predict health conditions from data patterns, further improving the system's capabilities and effectiveness in elderly care.…”
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Spatial transcriptomic analysis across histological subtypes reveals molecular heterogeneity and prognostic markers in early‐stage lung adenocarcinoma by Hua Geng, Wenhao Zhou, Haitao Luo, Jiaqian Wang, Shixiong Li, Congcong Song, Yujie Zhao, Meilin Xu

“…ABSTRACT Background The progression and prognosis of early‐stage lung adenocarcinoma are closely associated with histologic subtypes, yet the presence of mixed histologic patterns often complicates prognostic assessment. Currently, the correlation between molecular and histologic features remains poorly understood. …”
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Remote sensing techniques to assess badlands dynamics: insights from a systematic review by Rosa Colacicco, Marco La Salandra, Isabella Lapietra, Alberto Refice, Domenico Capolongo

“…Badlands are typical landforms that develop on unconsolidated sediments or poorly consolidated bedrock, with bare or sparse vegetation, generally characterized by high rates of erosion. …”
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Media Framing and Portrayals of Ransomware Impacts on Informatics, Employees, and Patients: Systematic Media Literature Review by Atiya Avery, Elizabeth White Baker, Brittany Wright, Ishmael Avery, Dream Gomez

“…First, an analysis of the geographic prevalence showed that the United States (34/48, 71%), followed to a lesser extent by India (4/48, 8%) and Canada (3/48, 6%), featured more prominently in our sample. Second, there were no apparent year-to-year patterns in the occurrence of reported events of ransomware attacks on health care provider information systems. …”
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A comprehensive analysis of molecular characteristics of hot and cold tumor of gastric cancer by Chenxi Lv, Tianwei Chen, Jiangtao Li, Yuqiang Shan, Hong Zhou

“…Methods Consensus clustering was utilized to classify GC patients into distinct immune states, followed by an in-depth analysis of differences in mutation profiles, copy number variations, and DNA methylation patterns. Weighted gene co-expression network analysis (WGCNA) and correlation analysis were applied to identify gene modules underlying the classification of immune “hot” and “cold” tumors. …”
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Single-cell transcriptomics reveal the prognostic roles of epithelial and T cells and DNA methylation-based prognostic models in pancreatic cancer by Jing Du, Yaqian Zhao, Jie Dong, Peng Li, Yan Hu, Hailang Fan, Feifan Zhang, Lanlan Sun, Dake Zhang, Yuhua Zhang

“…Treatment predictions and nomograms were developed for clinical use. Conclusions scRNA-seq and DNAm data integration enabled the creation of predictive models based on epithelial and T cell-specific methylation patterns, offering robust prognosis prediction for PDAC patients.…”
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Advertisements of ultra-processed products outside food outlets: field evidence from Montevideo, Uruguay by Gastón Ares, Florencia Alcaire, Gerónimo Brunet, Tobias Otterbring, María Costa, Sofía Verdier, María Rosa Curutchet, Luciana Bonilla, Sergio Turra, Fernanda Risso, Leticia Vidal

“… Abstract Objectives: To evaluate the prevalence of advertisements for ultra-processed products outside food outlets in Montevideo (Uruguay) and explore the patterns of these advertisements across areas with different socio-economic statuses (SES). …”
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SUMOylation-related genes define prognostic subtypes in stomach adenocarcinoma: integrating single-cell analysis and machine learning analyses by Kaiping Luo, Kaiping Luo, Donghui Xing, Donghui Xing, Xiang He, Yixin Zhai, Yanan Jiang, Hongjie Zhan, Zhigang Zhao

“…Immune infiltration, pathway enrichment identified key SRGs, and in vitro functional assays were validated.ResultsTwo molecular subtypes (A/B) with distinct SUMOylation patterns, survival outcomes (log-rank p < 0.001), and immune microenvironments were identified. …”
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Histological Grade, Tumor Breadth, and Hypertension Predict Early Recurrence in Pediatric Sarcoma: A LASSO-Regularized Micro-Cohort Study by Alexander Fiedler, Mehran Dadras, Marius Drysch, Sonja Verena Schmidt, Flemming Puscz, Felix Reinkemeier, Marcus Lehnhardt, Christoph Wallner

“…This exploratory study aimed to identify clinical features associated with first tumor recurrence using a machine learning approach tailored to low-event settings. …”
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An integrated machine learning and fractional calculus approach to predicting diabetes risk in women by David Amilo, Khadijeh Sadri, Evren Hincal, Muhammad Farman, Kottakkaran Sooppy Nisar, Mohamed Hafez

“…Through fixed-point theorem analysis, we prove the existence and uniqueness of solutions, while numerical implementations using Lagrange polynomial interpolation reveal how varying fractional orders affect metabolic response patterns. This mathematical framework provides unique insights into the progression of diabetes, particularly through its ability to model memory effects and long-term physiological changes. …”
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High-temperature dolomite in the Lower Cretaceous Cupido Formation, Bustamante Canyon, northeast Mexico: petrologic, geochemical and microthermometric constraints by Gabriela Sara Guzzy-Arredondo, Gustavo Murillo-Muñetón, Dante Jaime Morán-Zenteno, José Manuel Grajales-Nishimura, Ricardo Martínez-Ibarra, Peter Schaaf

“…Dolomite distribution was apparently not controlled by major tectonic features (e.g., faults or fractures); the dolomitizing fluid seems to have followed subhorizontal or lateral flowing circulating patterns controlled by the former porosity and permeability of the calcareous facies.   …”
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Pigmentary Mosaicism: An Overview by C. Colmant, E. Legius, N. Cattaert, M.‐A. Morren

“…Pigmentary mosaicism is reflected by a patterned hypo‐, hyperpigmentation, or both combined in cutis tricolour. …”
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Machine learning based differential diagnosis of SAPHO syndrome and secondary bone tumors using whole body bone scintigraphy by Hongyang Jiang, Aihui Liu, Yihan Cao, Zhimin Lin, Haixu Jiang, Shengyan Liu, Qiuwei Peng, Xia Wu, Yuchen Liu, Xinbo Yu, Maming Wei, Yalin Pan, Chen Li, Zhenhua Ying

“…The WBBS findings of SAPHO syndromes and secondary bone tumors (SBT) have overlapping features, posing diagnostic challenges. In this multicenter study, we aim to identify different bone and joint involvement patterns between the two disease entities through multiple methods to build machine-learning models and explore interpretable variables. …”
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Clinical characteristics and unique presentations of immune checkpoint inhibitor induced type 1 diabetes in Chinese patients from a single institution by Wei Liu, Chunmei Li, Yayu Fang, Xiaoling Cai, Yu Zhu, Qian Ren, Rui Zhang, Mingxia Zhang, Ying Gao, Xueyao Han, Juan Li, Sai Yin, Yongran Huo, Linong Ji

“…This retrospective study aimed to characterize the clinical features and glucose patterns of ICI-T1D in Chinese individuals and compare them with those of traditional T1D. …”
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Analysis of ferritinophagy-related genes associated with the prognosis and regulatory mechanisms in non-small cell lung cancer by Yuan Hao, Xin Wang, Zerong Ni, Yuhui Ma, Jing Wang, Wen Su

“…A nomogram incorporating clinicopathological features and risk scores was developed to predict patient outcomes. …”
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Preoperative digital 6-minute walk test reveals risk of postoperative pulmonary complications in patients undergoing heart valve surgery: a pilot feasibility study by Lixuan Li, Yuqiang Wang, Zhengbo Zhang, Zeruxin Luo, Wenqing Wang, Jiachen Wang, Xiaoli Liu, Ying Shi, Tian Yuan, Yong Fan, Hong Liang, Yingqiang Guo, Buqing Wang, Jing Wang, Jiaoxue Deng

“…We extracted 94 physiological features across 6MWT phases (baseline, walking, recovery) and clinical variables, developing predictive models using five machine learning algorithms evaluated through rigorous five-fold cross-validation. …”
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