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  1. 14961

    Investigating the Pulmonary Host Response of <i>Acinetobacter baumannii</i> Infection-Associated Pneumonia by Metagenomic Next-Generation Sequencing by Mu-Jung Chou, Chih-Hung Cheng, Hui-Ching Wang, Ming-Ju Tsai, Chau-Chyun Sheu, Wei-An Chang

    Published 2025-01-01
    “…Partek was used for investigating enriched functions and pathways related to the pulmonary host response to pneumonia caused by <i>A. baumannii</i> with NDM infection and <i>A. baumannii</i> without antimicrobial-resistant genes. The STRING was employed for identifying protein interaction pathways related to the pulmonary host response to pneumonia caused by <i>A. baumannii</i> without antimicrobial-resistant genes. …”
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  2. 14962

    Analysis and Recommendation of Outdoor Activities for Smart City Users Based on Real-Time Contextual Data by S. R. Mani Sekhar, D. M. Mushtaq Ahmed, G. M. Siddesh

    Published 2024-01-01
    “…Deep learning models, such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs), are employed to analyze this data and predict real-time contextual information, including weather conditions, traffic patterns, and social events. …”
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  3. 14963

    Features and predictive value of 6-min walk test outcomes in interstitial lung disease: an observation study using wearable monitors by Jiaying Li, Xiaobing Wu, Xiaoyan Li, Miaozhen Deng, Xinyin Liang, Huiqun Wei

    Published 2022-06-01
    “…Modified Borg scale was employed to assess patients’ dyspnoea, whereas New York Heart Association (NYHA) classification and pulmonary function test were used to evaluate patients’ cardiopulmonary functions.Results Heart rate (HR) exhibited a continuous upward trend, while SpO2 exhibited an overall downward with a slight increase at the fifth minute. …”
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  4. 14964

    Evaluation of nutrient loads conveyed to the deep subalpine lakes of Northern Italy through their main tributaries by Paolo Dezuanni, Paolo Dezuanni, Diego Copetti, Claudia Dresti, Nicolò Pella, Nicolò Pella, Fabio Buzzi, Andrea Fenocchi, Andrea Fenocchi

    Published 2025-01-01
    “…In this work, we focused on the main tributaries of the Italian DSLs, employing the observed time series of flowrate and nutrient concentrations to estimate the loading levels of nitrogen and phosphorus and their temporal evolution over a period ranging between 13 and 42 years according to data availability. …”
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  5. 14965

    Baseline [18F]FDG PET/CT radiomics for predicting interim efficacy in follicular lymphoma treated with first-line R-CHOP by Zeying Wen, Xiaohe Gao, Qingxia Wu, Jianwei Yang, Jian Sun, Keliu Wu, Hongfei Zhao, Ruihua Wang, Yanmei Li

    Published 2025-01-01
    “…Univariate analysis was employed to identify clinical risk factors, and correlation coefficients, MRMR, and LASSO algorithms were used for dimensionality reduction and selection of radiomics features. …”
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  6. 14966

    Cluster analysis of cutting technique—a valuable approach for assessing anterior cruciate ligament injury risk? by Lasse Mausehund, Anri Patron, Sami Äyrämö, Sami Äyrämö, Tron Krosshaug

    Published 2025-02-01
    “…To identify different cutting techniques, we employed a K-means clustering algorithm on data subsets involving different numbers of kinematic variables (36, 13 and 5 variables) and different sports (handball, football, and both combined). …”
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  7. 14967

    Association Between Fine Particle Waves and Sexual Function: A Nationwide Cross-Sectional Survey in China by Weiqian Zhang, Rui Qu, Guan Cheng, Jingxuan Wang, Tailang Yin, Jue Liu, Dongdong Tang, Yan Zhang

    Published 2025-01-01
    “…A multivariate linear regression model was employed to investigate the link between PM wave exposure and sexual function. …”
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  8. 14968

    Association of triglyceride-glucose related indices with mortality among individuals with MASLD combined with prediabetes or diabetes by Yiheng Zhang, Juanli Wu, Tao Li, Yundong Qu, Yan Wang

    Published 2025-02-01
    “…To examine the association between TyG-related indices and mortality risk, Cox regression models were utilized. Furthermore, we employed restricted cubic spline (RCS) analysis to investigate potential dose-response relationships. …”
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  9. 14969

    Inhibition of id-1 reduces osteosarcoma growth and metastasis through mediation of snail by Rongbing Shu, Zhuanyi Yu, Jianmin Wu, Qiuxin Cheng, Zhihao Peng, Huaqiang Zhou, Min Zhao

    Published 2025-01-01
    “…Transwell invasion and scratch assays were used to assess cell migration and invasion. WB was employed to detect the expression of Id-1, Snail, and epithelial-mesenchymal transition (EMT)-related proteins (E-cadherin, vimentin, and N-cadherin) in the OS cells of each group. …”
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  10. 14970
  11. 14971

    Contemporary Volunteering in the Formation of Prosocial Behaviour of a Person by P. A. Kislyakov, E. A. Shmeleva, O. Gowin

    Published 2019-07-01
    “…The methods of focus group research, interviews, questionnaires and Internet surveys were employed as tools for information collection. The data obtained were generalised and processed using qualitative and quantitative methods of analysis, including content analysis, percentage analysis, correlation analysis through Pearson coefficient and factor analysis (principal component method, varimax rotation). …”
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  12. 14972

    Construction and Optimization of Integrated Yield Prediction Model Based on Phenotypic Characteristics of Rice Grown in Small–Scale Plantations by Jihong Sun, Peng Tian, Zhaowen Li, Xinrui Wang, Haokai Zhang, Jiangquan Chen, Ye Qian

    Published 2025-01-01
    “…Although machine learning can handle complex nonlinear problems to enhance prediction accuracy, further improvements in models are still needed to accurately predict rice yields in small areas facing complex planting environments, thereby enhancing model performance. This study employs four rice phenotypic traits, namely, panicle angle, panicle length, total branch length, and grain number, along with seven machine learning methods—multiple linear regression, support vector machine, MLP, random forest, GBR, XGBoost, and LightGBM—to construct a yield prediction model group. …”
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  13. 14973

    Development and validation of a novel risk-predicted model for early sepsis-associated acute kidney injury in critically ill patients: a retrospective cohort study by Bo Li, Kun Zhang, Cong-Cong Zhao, Zi-Han Nan, Yan-Ling Yin, Li-Xia Liu, Zhen-Jie Hu

    Published 2025-01-01
    “…Objectives This study aimed to develop a prediction model for the detection of early sepsis-associated acute kidney injury (SA-AKI), which is defined as AKI diagnosed within 48 hours of a sepsis diagnosis.Design A retrospective study design was employed. It is not linked to a clinical trial. Data for patients with sepsis included in the development cohort were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. …”
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  14. 14974

    Impact of hypertension on liver fibrosis in patients with metabolic dysfunction-associated fatty liver disease by Zhifeng Gao, Huan Deng, Bowen Qin, Liang Bai, Jiangwei Li, Jian Zhang

    Published 2025-01-01
    “…Multivariate logistic regression models were employed to control for sociodemographic and metabolic factors to determine the associations between hypertension, MASLD, and fibrosis.ResultsOf the total cohort (N = 5,967) 57.92% had hypertension, 38.8% had MASLD, 25.88% had both MASLD and hypertension. …”
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  15. 14975

    A land-cover-assisted super-resolution model for retrospective reconstruction of MODIS-like NDVI data across the continental United States by blending Landcover300m and GIMMS NDVI3... by Zhicheng Zhang, Zhenhua Xiong, Xuewen Zhou, Kun Xiao, Wei Wu, Qinchuan Xin

    Published 2025-02-01
    “…The model exacts moderate-resolution class features from annual Landcover300m data at the target year, incorporates GIMMS NDVI3g time series to capture seasonal fluctuations, and employs the Long Short-Term Memory (LSTM) method to mitigate sensor differences. …”
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  16. 14976

    Factors influencing survival outcomes in patients with stroke at three tertiary hospitals in Zimbabwe: A 12-month longitudinal study. by Farayi Kaseke, Lovemore Gwanzura, Cuthbert Musarurwa, Elizabeth Gori, Tawanda Nyengerai, Timothy Kaseke, Aimee Stewart

    Published 2024-01-01
    “…The investigation sought to uncover influential determinants to enhance the precision of prognostic assessments and inform targeted interventions for individuals affected by stroke.<h4>Methods</h4>Employing a longitudinal study design, participants were observed for 12 months from baseline, censoring survivors at the endpoint. …”
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  17. 14977

    The probability of detecting host-specific microbial source tracking markers in surface waters was strongly associated with method and season by Claire M. Murphy, Daniel L. Weller, Tanzy M. T. Love, Michelle D. Danyluk, Laura K. Strawn

    Published 2025-02-01
    “…To understand how to best employ MST marker data for managing fecal contamination risks, the present study compiled previously collected MST marker data (N = 12,878 samples) from across North America; each sample in the data set had been tested for fecal contamination from one or more of five sources (avian, canine, human, ruminant, swine). …”
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  18. 14978

    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

    Published 2025-02-01
    “…Subsequently, 101 machine learning algorithm combinations were employed to construct a prognostic model based on the identified gene modules. …”
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  19. 14979

    NKX6.3 modulation of mitotic dynamics and genomic stability in gastric carcinogenesis by Jung Hwan Yoon, Jeong-Kyu Kim, Jung Woo Eun, Hassan Ashktorab, Duane T. Smoot, Suk Woo Nam, Won Sang Park

    Published 2025-01-01
    “…The transcription factor NKX6.3 has emerged as a potential regulator of these processes in gastric epithelial cells, prompting an investigation into its role in gastric cancer development. Methods We employed a combination of in vitro and in vivo techniques to elucidate the impact of NKX6.3 depletion on mitotic dynamics and genomic stability in gastric epithelial cells. …”
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  20. 14980

    The Pattern of mRNA Expression Is Changed in Sinoatrial Node from Goto-Kakizaki Type 2 Diabetic Rat Heart by F. C. Howarth, M. A. Qureshi, P. Jayaprakash, K. Parekh, M. Oz, H. Dobrzynski, T. E. Adrian

    Published 2018-01-01
    “…Rats aged 12-13 months were employed in these experiments. Results. Isolated spontaneous heart rate was reduced in GK heart (161 ± 12 bpm) compared to controls (229 ± 11 bpm). …”
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