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  1. 21181

    Downregulation of FXYD2 Is Associated with Poor Prognosis and Increased Regulatory T Cell Infiltration in Clear Cell Renal Cell Carcinoma by Zedan Zhang, Yanlin Tang, Lei Li, Wuping Yang, Yawei Xu, Jingcheng Zhou, Kaifang Ma, Kenan Zhang, Hongkai Zhuang, Yanqing Gong, Kan Gong

    Published 2022-01-01
    “…Kaplan-Meier survival analysis and Cox regression analysis suggested that downregulated FXYD2 could independently predict poor survival of ccRCC patients. Through the ESTIMATE algorithm, ssGSEA algorithm, CIBERSORT algorithm, TIMER database, and our laboratory experiment, FXYD2 was found to correlate with the immune landscape, especially regulatory T cells (Treg), in ccRCC. …”
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  2. 21182

    Research on the basic theory and application of enhanced recovery in tight sandstone gas reservoirs by Gao Shusheng, Ye Liyou, Liu Huaxun, Zhang Jianzhong, Zhu Wenqing, An Weiguo

    Published 2025-01-01
    “…Our findings reveal: (1) Detailed characterization of the microscopic pore characteristics in tight sandstone reservoirs helps disclose the status and mechanisms of gas-water occurrence and the principal mechanisms of water production under gas-water co-sealing conditions, such as gas expansion, energy of water-sealed gas, movable water volume, and displacement pressure gradient; (2) Testing single-phase and gas-water two-phase seepage characteristics under bound water saturation identifies permeability and water saturation as critical parameters influencing gas seepage characteristics; (3) Inter-layer gas-water interaction flow experiments demonstrate the interference in multi-layer commingled production and introduce the concept of an interference index, a predictive model for well productivity and dynamic performance in the Sulige tight sandstone gas reservoir; (4) A model correlating reservoir recovery rates with drive indices has been developed, highlighting that increasing production pressure differential and reducing seepage resistance are the primary strategies for enhancing recovery rates in tight sandstone gas reservoirs, supplemented by six technological countermeasures including water-blocking, water control, and densifying well networks. …”
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  3. 21183

    Effects of polyamines and indole on the expression of ribosome hibernation factors in <i>Escherichia coli</i> at the translational level by E. A. Khaova, A. G. Tkachenko

    Published 2024-03-01
    “…We have analyzed the mRNA primary structures of the studied genes and the predicted mRNA secondary structures obtained by using the RNAfold program for the availability of polyamine modulon features. …”
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  4. 21184

    Voice analysis and deep learning for detecting mental disorders in pregnant women: a cross-sectional study by Hikaru Ooba, Jota Maki, Hisashi Masuyama

    Published 2025-02-01
    “…The hyperparameters were optimized using Optuna, and an ensemble learning approach was used for the final predictions. The model’s performance was compared to that of the EPDS in terms of sensitivity, specificity, and other diagnostic metrics. …”
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  5. 21185

    Depression among adult patients with primary brain tumour: a cross-sectional study of risk factors in a low–middle-income country by Adnan Abdul Jabbar, Anum Sadruddin Pidani, Amna Rehana Siddiqui, Muhammad Shahzad shamim, Shameel Khan

    Published 2020-09-01
    “…There was a significant association between depressive symptoms and Karnofsky Performance Scores (KPS) (prevalence ratio: 3.25 and CI: 1.87–5.62) after controlling covariates. Propensity scores predicted a positive association between KPS (functional status) and unemployment, treatment stage, and tumour recurrence. …”
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  6. 21186

    A First Application of the Backward Technique in Social Sciences: Exploring Demographic Noise in a Model with Three Personality Types by Roberto Macrelli, Margherita Carletti, Vincenzo Fano

    Published 2024-12-01
    “…In this study, starting from a predictable, deterministic system, we move beyond biology and explore the effects of demographic noise in a novel model arising from the social sciences. …”
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  7. 21187

    Study on the Key Technology of Controlling the Instability of Deep High-Stress Coal and Rock Mass and Relieving the Danger by Zhijing Zhang, Jianghong Zuo, Dongji Lei

    Published 2021-01-01
    “…The research results can effectively identify the influence range of hydraulic cavitation, improve the detection accuracy and efficiency of hydraulic cavitation range, effectively predict and warn the hidden danger of mine safety, and provide a reference for the work of similar mines.…”
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  8. 21188

    New insights into the ferroptosis and immune infiltration in endometriosis: a bioinformatics-based analysis by Lusha Liu, Feifei Han, Naiyi Du, Yakun Liu, Aihong Duan, Shan Kang, Bin Li

    Published 2025-01-01
    “…Furthermore, we identified 10 hub FRGs, and the ROC curve showed better predictive ability for diagnosing. RT-qPCR confirmed that the tissue expression of 10 hub FRGs was mostly consistent with the database results. …”
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  9. 21189

    Retrospective Study of Factors Potentially Influencing Occurrence of Cough in Slovak Patients with Sarcoidosis by Eva Kovacova, Robert Vysehradsky, Ivan Kocan, Jana Plevkova, Tomas Buday

    Published 2019-01-01
    “…Patients with cough had significantly a lower average value of calciuria (p=0.0014) and lower MEF25 (p=0.0304), MEF50 (p=0.0061), FEV1 (p=0.0025), and FVC (p=0.0025) in % of predicted values, and more often positive endobronchial finding (p=0.0206), compared to patients without cough. …”
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  10. 21190

    CFD analysis of heat transfer enhancement in impinging jet array by varying number of jets and spacing by Zakia Rachdi, Nidhal Hnaien, Aboulbaba Eladeb, Badr M. Alshammari, Lioua Kolsi, Hacen Dhahri

    Published 2025-01-01
    “…It has also been noted that lower jet-plate distance (H), lower jet–jet spacing (S), and a higher number of jets (N) result in better average heat transfer. To predict the average Nusselt number based on three parameters (N, S, and H), we establish a critical correlation, which provides a useful tool for optimizing impinging jet configurations in a variety of engineering applications. …”
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  11. 21191

    Research status and trends of functional magnetic resonance imaging technology in the field of acupuncture: a bibliometric analysis over the past two decades by Zhongke Wang, Lu Chen, Tianyu Jiang, Qi Zhang, Jinying Zhao, Fuchun Wang

    Published 2025-01-01
    “…This study summarizes the current status of functional magnetic resonance imaging (fMRI) in the field of acupuncture and moxibustion and predicts its future trends through Web of Science bibliometric analysis.MethodsThis study uses “fMRI” and “acupuncture” as keywords to search for literature related to functional magnetic resonance imaging (fMRI) in acupuncture research in the Web of Science Core Collection database from January 1, 2004, to April 30, 2024. …”
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  12. 21192

    Histogram of Apparent Diffusion Coefficient to Evaluate the Activity of Thyroid‐Associated Ophthalmopathy by Defu Li, Tingting Zhu, Yujin Wang

    Published 2025-01-01
    “…In addition to male sex and smoking, an ADC histogram median > 1.26 μm²/s, entropy > 4.03, or SD > 0.4 may also predict active TAO.…”
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  13. 21193

    Transformer-based travel time estimation method for plateau and mountainous environments by Guangjun Qu, Kefa Zhou, Rui Wang, Dong Li, Yingpeng Lu, Zhihong Lv, Dequan Zhao, Aijun Zhang, Qing Zhang

    Published 2025-02-01
    “…The model simultaneously integrates positional encoding and multi-head self-attention mechanisms with the objective of enhancing the accuracy of travel time predictions based on a substantial number of trajectory points in wilderness settings. …”
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  14. 21194

    Mini-review: the utility of macroalgae in abalone diets and their role in heat resilience by Ida Ayu Amarilia Dewi Murni, Supono Supono

    Published 2025-01-01
    “… Abalone aquaculture production is predicted to continue to increase. Nutrition and health aspect are becoming two major issues that can impede the development and economic sustainability of abalone aquaculture industries. …”
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  15. 21195

    Skin Closure Technique and Postprocedural Pain after Spinal Cord Stimulator Implantation: A Retrospective Review by Markus A. Bendel, Ryan S. D’Souza, Taylor J. North, Thomas P. Pittelkow, Jonathan M. Hagedorn

    Published 2021-01-01
    “…Higher preoperative pain score (β 0.50 (95% CI 0.09 to 0.92), P=0.019) and female gender (β 1.09 (95% CI 0.15 to 2.02), P=0.023) were predictive of higher incisional pain scores at POD#10. …”
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  16. 21196

    Protocol for the impact of machine learning-based clinician decision support algorithims in perioperative care (IMAGINATIVE) in Singapore general hospital : a large prospective ran... by Marcus Ong, Hairil Rizal Abdullah, Ecosse Lamoureux, Elaine Lum, Gek Hsiang Lim, Tan Pei Yi Brenda, Celestine Loh

    Published 2024-12-01
    “…In Singapore General Hospital (SGH), we introduced the Combined Assessment of Risk Encountered in Surgery-Machine Learning (CARES-ML) in June 2023, focusing on predicting 30-day postoperative mortality and the need for post-surgery intensive care unit (ICU) stays. …”
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  17. 21197

    Optimizing Healthcare Expenditure for Spinal Cord Stimulation in Italy: The Value of Battery Longevity Improvement and a Direct-to-Implant Approach by Federica Tito, Gianfranco Sindaco, Simon Eggington, Elisa Tacconi, Francesca Borghetti, Mara Corbo, Gilberto Pari

    Published 2024-05-01
    “…Compared with Devices A and B, Device C offered savings of €4227 and €2712, respectively; similar savings were predicted with a 2-step implant approach. **Discussion:** The battery longevity of NR-SCS devices directly impacts long-term costs to a payer. …”
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  18. 21198

    Microbiological hazards associated with the use of water in the post‐harvest handling and processing operations of fresh and frozen fruits, vegetables and herbs (ffFVH). Part 3 (Fr... by EFSA BIOHAZ Panel (EFSA Panel on Biological Hazards), Ana Allende, Avelino Alvarez‐Ordóñez, Valeria Bortolaia, Sara Bover‐Cid, Alessandra De Cesare, Wietske Dohmen, Laurent Guillier, Lieve Herman, Liesbeth Jacxsens, Lapo Mughini‐Gras, Maarten Nauta, Jakob Ottoson, Luisa Peixe, Fernando Perez‐Rodriguez, Panagiotis Skandamis, Elisabetta Suffredini, Jen Banach, Bin Zhou, Maria Teresa daSilva Felício, Laura Martino, Winy Messens, Angela Botteon

    Published 2025-01-01
    “…A WMP aims to maintain the fit‐for‐purpose microbiological quality of the process water and consists of (a) identification of microbial hazards and hazardous events linked to process water; (b) establishment of the relationship between microbiological and physico‐chemical parameters; (c) description of preventive measures; (d) description of intervention measures, including their validation, operational monitoring and verification; and (e) record keeping and trend analysis. A predictive model was used to simulate water management outcomes, highlighting the need for water disinfection treatments to maintain the microbiological quality of the process water and the added value of water replenishment. …”
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  19. 21199

    Exploring molecular disparities of H-type vasculature endothelial cells in osteonecrosis of the femoral head through single-cell analysis by Wei Shi, Dong Li, Qian Xu, Kai Zhang, Xinyu Liang, Hui Li, Zhijun Li, Huafeng Zhang

    Published 2025-02-01
    “…Hypoxia, ferroptosis, pyroptosis, and parthanatos indices were calculated, and transcription factors were predicted using SENIC. Cell communication was analyzed with CellChat. …”
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  20. 21200

    Application Value of NT-proBNP Combined with NLR in Evaluation of Major Adverse Cardiac Events in Elderly Patients with Chronic Heart Failure by Zhiyong Li, Hui Rong, Wenxun Wu, Ting Huang, Jun Xu

    Published 2022-01-01
    “…NT-proBNP combined with NLR has high value in the evaluation of MACE in elderly CHF patients and can be used as an auxiliary predictive index in clinic.…”
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