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  1. 2161

    Novel pyroptosis-immune-related lncRNA signature exhibits a distinct immune cell infiltration landscape in breast cancer by Dedi Kong, Dedi Kong, Hongju Cheng, Meihong Wang

    Published 2025-01-01
    “…Prognostic lncRNA signatures were derived based on the training subset using univariate Cox regression analysis and Least Absolute Shrinkage and Selection Operator methods. …”
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  2. 2162

    Oura Ring as a Tool for Ovulation Detection: Validation Analysis by Nina Thigpen, Shyamal Patel, Xi Zhang

    Published 2025-01-01
    “…Abnormally long cycle lengths were associated with decreased accuracy (U=22,383, P=.03), with a mean absolute error of 1.7 (SEM .09) days compared with 1.18 (SEM .02) days. …”
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  3. 2163

    Cell Counts, rather than Proportion, of CD8/PD-1 Tumor-Infiltrating Lymphocytes in a Tumor Microenvironment Associated with Pathological Characteristics of Chinese Invasive Ductal... by Qingkun Song, Feng Shi, Maya Adair, Hong Chang, Xiudong Guan, Yanjie Zhao, Yuchen Li, Guangjiang Wu, Jiangping Wu

    Published 2019-01-01
    “…The proportion of CD8+/PD-1- TILs was related with metastatic status of the axillary lymph node but cell counts of CD8+/PD-1- TILs were related with metastatic status of the axillary lymph node and expression of CK7, CK20, E-Cad, and Ki-67. Absolute cell counts, not proportion of CD8/PD-1 TILs, were more likely to distinguish clinic and pathologic characteristics of breast cancer.…”
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  4. 2164

    Carbon sequestration in different urban vegetation types in Southern Finland by L. Thölix, L. Backman, M. Havu, M. Havu, E. Karvinen, J. Soininen, J. Trémeau, O. Nevalainen, J. Ahongshangbam, L. Järvi, L. Järvi, L. Kulmala

    Published 2025-02-01
    “…However, the validation of the absolute level of modelled fluxes proved difficult due to differences in the scale of the observations and models, particularly for mature trees, and due to the fact that net ecosystem exchange measurements in urban areas include some anthropogenic emissions. …”
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  5. 2165

    The Spectrum of Pulmonary Disease in Patients with HIV Infection by Julio Sg Montaner, Leila Spour, Carlos Zala

    Published 1994-01-01
    “…In particular, most episodes of PCP occur in patients with absolute CD4 counts below 200 cells/mm3. On the other hand. bacterial pneumonias and tuberculosis tend to occur at any time during the natural history of HIV disease. …”
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  6. 2166

    Association between air pollutants and blood cell counts in pediatric patients with asthma: a retrospective observational study by Kuo-Chen Huang, Hsiu-Yung Pan, Ting-Min Hsieh, Chih-Cheng Chen, Fu-Jen Cheng

    Published 2025-01-01
    “…Medical records and blood cell counts, including absolute neutrophil count (ANC), eosinophil count, and platelet count were extracted. …”
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  7. 2167

    Impact of Comorbidities on Prognosis and Treatment Outcomes in Elderly Patients with Hodgkin Lymphoma by Dávid Tóthfalusi, Boglárka Dobó, Fanni Borics, László Imre Pinczés, Árpád Illés, Zsófia Miltényi

    Published 2025-01-01
    “…Among the tested laboratory parameters, a platelet count over 310.5 G/L and an absolute lymphocyte count below 0.47 G/L were found to be independent risk factors for OS. …”
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  8. 2168

    Cuproptosis-Related Signature Predicts the Prognosis, Tumor Microenvironment, and Drug Sensitivity of Hepatocellular Carcinoma by Xiangjun Qi, Jiayun Guo, Guoming Chen, Caishan Fang, Leihao Hu, Jing Li, Chi Zhang

    Published 2022-01-01
    “…Principal component analysis was adopted to verify the robustness and reliability of the molecular subtype. The least absolute shrinkage and selection operator regression analysis was performed to construct the prognostic signature based on differentially expressed genes between molecular subtypes. …”
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  9. 2169

    Integrated analysis of bioinformatics, mendelian randomization, and experimental validation reveals novel diagnostic and therapeutic targets for osteoarthritis: progesterone as a p... by Ziyu Weng, Chenzhong Wang, Bo Liu, Yi Yang, Yueqi Zhang, Chi Zhang

    Published 2025-01-01
    “…Methods In this study, Random Forest (RF), Least Absolute Shrinkage and Selection Operator (LASSO), and Support Vector Machine-Recursive Feature Elimination (SVM-RFE) machine learning techniques were employed to identify hub genes. …”
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  10. 2170

    Time without PSA recurrence after radical prostatectomy as a predictor of future biochemical recurrence, metastatic disease and prostate cancer death: a prospective Scandinavian co... by Mats Steinholtz Ahlberg, Hans-Olov Adami, Hans Garmo, Lars Holmberg, Anna Bill-Axelson, Ove Andren, Gunnar Steineck, Jan-Erik Johansson

    Published 2022-12-01
    “…Four patients were excluded due to surgery-related death (n=1) or salvage radiotherapy or hormonal treatment within 6 weeks from surgery (n=3).Primary outcome measures Cumulative incidences and absolute differences in metastatic disease and prostate cancer death.Results We analysed 302 patients with complete follow-up during a median of 24 years. …”
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  11. 2171

    Clinical and Immunological Characteristics of Elderly Onset Rheumatoid Arthritis by LI Zhengfang, WU Chanyuan, MA Mengsi, LI Tingting, WU Xue, MENG Xinyan, ZHANG Sha, WU Lijun

    Published 2025-01-01
    “…In terms of peripheral blood immune indexes, the proportion of CD4+T cells in EORA group [(44.5±10.6)% vs. (48.8±10.7)%, P=0.045] was lower than that in YORA group, while the proportion of NK cells [(14.8±8.9)% vs. (10.1±3.7)%, P=0.003] and absolute count [(230.2±156.7)PCS/μL vs. (155.9±106.5)PCS/μL, P=0.014] in EORA group were higher than those in YORA group.ConclusionsCompared with YORA, EORA has higher male proportion, joint disease degree and disease activity. …”
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  12. 2172

    Identification of the primary pollution sources and dominant influencing factors of soil heavy metals using a random forest model optimized by genetic algorithm coupled with geodet... by Tong Liu, Mingshi Wang, Mingya Wang, Qinqing Xiong, Luhao Jia, Wanqi Ma, Shaobo Sui, Wei Wu, Xiaoming Guo

    Published 2025-01-01
    “…Pollution sources were identified using Absolute Principal Component Score (APCS), with 8 anthropogenic factors, 9 natural factors, and 4 soil physicochemical properties mapped using Geographic Information System (GIS) kernel density estimation. …”
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  13. 2173

    Long-term changes in the thermodynamic structure of the lowermost stratosphere inferred from reanalysis data by F. Weyland, P. Hoor, D. Kunkel, T. Birner, T. Birner, F. Plöger, F. Plöger, K. Turhal, K. Turhal

    Published 2025-01-01
    “…This can be attributed to contrasting (absolute) temperature trends in the tropical tropopause region, such as at the 100 <span class="inline-formula">hPa</span> pressure level. …”
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  14. 2174

    Prognosis and factors related to severe secondary hyperparathyroidism in long-term peritoneal dialysis patients by Yanmei Li, Xiaonan Feng, Na Chen, Shuhua Song, Min Yu, Yan Wang, Hongxia Zhang, Li Wang, Menghua Chen, Na Tian

    Published 2024-12-01
    “…After adjusting for confounding factors, higher (each 100-pg/mL increase) baseline PTH levels (95% confidence interval (CI) 1.206–1.649, p < .001), longer (each 1-year increase) dialysis vintages (95% CI 1.013–1.060, p = .002), higher concomitant diabetes rates (95% CI 1.375–10.374, p = .010), and lower (each 1-absolute unit decrease) Kt/V values (95% CI 0.859–0.984, p = .015) were independent risk factors for progression to sSHPT in patients on PD. …”
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  15. 2175

    Models based on dietary nutrients predicting all-cause and cardiovascular mortality in people with diabetes by Fang Wang, Yukang Mao, Jinyu Sun, Jiaming Yang, Li Xiao, Qingxia Huang, Chenchen Wei, Zhongshan Gou, Kerui Zhang

    Published 2025-02-01
    “…The retrospective cohort study collected 5060 participants with DM from the National Health and Nutrition Examination Survey (NHANES) 1999–2018. The least absolute shrinkage and selection operator (LASSO) regression and random forest (RF) algorithm were applied to identify key mortality-related dietary factors, which were subsequently incorporated into risk prediction nomogram models. …”
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  16. 2176

    Multimodal data-based longitudinal prognostic model for predicting atrial fibrillation recurrence after catheter ablation in patients with patent foramen ovale and paroxysmal atria... by Shoupeng Duan, Xujun Li, Jun Wang, Yuhong Wang, Tianyou Xu, Fuding Guo, Yijun Wang, Lingpeng Song, Zeyan Li, Xiaomeng Yang, Xiaoyu Shi, Hengyang Liu, Liping Zhou, Yueyi Wang, Hong Jiang, Lilei Yu

    Published 2025-01-01
    “…The identification of potential risk factors was conducted using the regression method known as least absolute shrinkage and selection operator. Subsequently, multivariate COX regression analysis was conducted to determine the independent risk factors, after which a nomogram scoring system was developed. …”
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  17. 2177

    A Predictive Model for Super-Response to Cardiac Resynchronization Therapy: The QQ-LAE Score by Xi Liu, Yiran Hu, Wei Hua, Shengwen Yang, Min Gu, Hong-Xia Niu, Li-Gang Ding, Jing Wang, Shu Zhang

    Published 2020-01-01
    “…Multivariate logistic regression analysis was performed to identify predictors for super-response (defined as an absolute increase in left ventricular ejection fraction of ≥15% at 6-month follow-up) and to create a score model. …”
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  18. 2178

    Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat (Triticum aestivum L.) by Zhu Yang, Zhu Yang, Wenjie Kan, Wenjie Kan, Ziqi Wang, Caiguo Tang, Yuan Cheng, Yuan Cheng, Dacheng Wang, Dacheng Wang, Yameng Gao, Lifang Wu, Lifang Wu

    Published 2025-01-01
    “…Additionally, the least absolute shrinkage and selection operator (LASSO) regression algorithm in machine learning was used to screen transcription factors such as bHLH, WRKY, and MYB that influenced the expression of TaAkPHY genes. …”
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  19. 2179

    Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducks by Chalita Jainonthee, Phutsadee Sanwisate, Panneepa Sivapirunthep, Chanporn Chaosap, Raktham Mektrirat, Sudarat Chadsuthi, Veerasak Punyapornwithaya

    Published 2025-01-01
    “…This classification was performed using machine learning (ML) algorithms such as Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine (SVM), Decision Tree (DT), Random Forests (RF), and Extreme Gradient Boosting (XGBoost). …”
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  20. 2180

    Investigating the contribution of understory to radiative transfer simulations through reconstructing 3-D realistic temperate broadleaf forest scenes based on multi-platform laser... by Xiaohan Lin, Ainong Li, Jinhu Bian, Zhengjian Zhang, Xi Nan, Limin Chen, Yi Bai, Yi Deng, Siyuan Li

    Published 2025-06-01
    “…Notably, the findings also indicate that the reflectance of the forest canopy definitely capture less understory vegetation information as the simulation resolution decreases, for instance, as the simulated resolution decreased from 1 m to 30 m, the absolute difference in the red band between the multi-layered BRF and L50 BRF decreased from 23.93% to 10.22% when using the boundary-based approach. …”
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