Showing 17,041 - 17,060 results of 17,927 for search '"Prediction', query time: 0.15s Refine Results
  1. 17041

    The influence of the forest corridors to the north of the Andes on the diversification of the bright‐rumped Attila, Attila spadiceus (Passeriformes, Tyrannidae), during the climati... by Patrícia Mendonça, Lincoln Silva Carneiro, Victor Leandro‐Silva, Alexandre Aleixo, Juliana Araripe, Péricles S. Rêgo

    Published 2025-01-01
    “…We used Ecological Niche Modeling (ENM) with six different algorithms to predict the potential distribution of A. spadiceus in both present‐day and past scenarios, examining the overlap climatic niche between Cis‐ and Trans‐Andean lineages. …”
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    Article
  2. 17042

    Emerging Challenges in Methicillin Resistance of Coagulase-Negative Staphylococci by Marta Katkowska, Maja Kosecka-Strojek, Mariola Wolska-Gębarzewska, Ewa Kwapisz, Maria Wierzbowska, Jacek Międzobrodzki, Katarzyna Garbacz

    Published 2025-01-01
    “…The disc-diffusion method with oxacillin accurately predicted OS-MRCoNS strains but did not provide reliable results for BORCoNS strains. …”
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    Article
  3. 17043

    UAV rice panicle blast detection based on enhanced feature representation and optimized attention mechanism by Shaodan Lin, Deyao Huang, Libin Wu, Zuxin Cheng, Dapeng Ye, Haiyong Weng

    Published 2025-02-01
    “…Correlation coefficient analysis across disease severity levels indicates high consistency between predictions and ground truth, with values ranging from 0.962 to 0.993. …”
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    Article
  4. 17044

    Predictores psicológicos de lesión en jóvenes deportistas / Psychological Predictors of Injury in Young Athletes by Rosendo Berengüí-Gil, Jorge L. Puga

    Published 2015-12-01
    “…We now better understand the importance of psychological variables in the origin of injuries, a number of previous studies have identified certain factors that could predict sports injuries. The aim of this study is to analyze the influence of psychological characteristics associated with athletic performance, competitive trait anxiety and mood in injury occurrence. …”
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    Article
  5. 17045

    Perianal Paget’s Disease: The 17-Year-Experience of a Single Institution in Taiwan by Yu-Chen Wang, Anna Fen-Yau Li, Shung-Haur Yang, Hsiu-Hsun Ma, Wen-Yih Liang

    Published 2019-01-01
    “…The CK7, CK20, CDX2, and GCDFP-15 immunostaining results for the PPD patients were not predictive of primary or secondary type.…”
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    Article
  6. 17046

    Synovial biomarkers in the diagnosis of post-traumatic osteoarthritis following anterior cruciate ligament and meniscus injuries: protocol for a systematic review by Helena Donato, Fernando Fonseca, João Pedro Oliveira, João Castro Mendes, José Casanova, Alexandrina Ferreira Mendes

    Published 2025-01-01
    “…Introduction This review aims to synthesise research evidence regarding biomarkers in the synovial fluid that may predict the risk of post-traumatic osteoarthritis (PTOA) in young adults. …”
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    Article
  7. 17047

    RETRACTED ARTICLE: Construction and validation of a machine learning-based immune-related prognostic model for glioma by Qi Mao, Zhi Qiao, Qiang Wang, Wei Zhao, Haitao Ju

    Published 2024-10-01
    “…In which the Lasso + plsRcox algorithm demonstrated the best predictive performance. The model showed a good ability to distinguish two groups in both the training and test sets. …”
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    Article
  8. 17048

    Relationship between White Blood Count to Mean Platelet Volume Ratio and Clinical Outcomes and Severity of Coronary Artery Disease in Patients Undergoing Primary Percutaneous Coron... by Altekin Refik Emre, Kilinc Ali Yasar, Yanikoglu Atakan, Cicekcibasi Orhan, Kucuk Murathan

    Published 2020-01-01
    “…A higher WMR value on admission was associated with worse outcomes in patients with P-PCI and independently predicted for follow-up MACEs. The WMR provides both a rapid and an easily obtainable parameter to identify reliably high-risk patients who underwent primary percutaneous coronary intervention due to STEMI.…”
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    Article
  9. 17049

    Exploring the genetic correlation and causal relationships between breast cancer and meningioma using bidirectional Mendelian randomization by Lu Ding, Bo Chen, Zhou Zhou, Zhaojun Mei, Kan Cao, Xinyu Lu, Wei Chen

    Published 2025-02-01
    “…After rigorous screening and Mendelian randomization (MR) tests, genetically predicted overall BC (OR: 1.17, P = 0.0045) and ER(estrogen receptors) + BC (OR: 1.21, P = 0.0006) showed a potential causal association with intracranial meningioma. …”
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    Article
  10. 17050

    Molecular Characterization and Clinical Characteristics of m5C-Based RNA Methylation in Spinal Cord Injury: Validated by qPCR by Liang Cao, Wen Jun Pi, Qiang Zhang, Qing Li

    Published 2022-01-01
    “…We constructed a “gene signature” of m5C-based regulators of RNA modification to predict the prognosis of SCI using least absolute shrinkage and selection operator regression and random-forest strategy. …”
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    Article
  11. 17051

    Identifying Preferred Features of Influenza Vaccination Programs Among Chinese Clinicians Practicing Traditional Chinese Medicine and Western Medicine: Discrete Choice Experiment by Liuren Zhang, Linchen Chu, Maria E Sundaram, Yi Zhou, Xiu Sun, Zheng Wei, Chuanxi Fu

    Published 2025-01-01
    “…Simulations from choice models using the experimental data generated the coefficients of preference and predicted the uptake rate of different influenza vaccination programs. …”
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    Article
  12. 17052

    Contextualization of Trait Nexus and Gene Action for Quantitative and Qualitative Characteristics in Indian Mustard by Sumanta Prasad Chand, Sandip Debnath, Mehdi Rahimi, Mohd. Shaikhul Ashraf, Pankaj Bhatt, Saima Ahmed Rahin

    Published 2022-01-01
    “…Punjab Local was discovered to be an excellent general merge for reducing crop duration, whereas JD6 was an excellent combiner for seed yield per crop, aphid infestation indicator, seed yield per crop, and oil production per plant. The predictability ratio was found to be less than 0.5 for almost all traits, denoting that the nonadditive gene measure is involved in controlling the nature except days to 50% flowering, aphid infestation index, oil content, and oil yield per plant. …”
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    Article
  13. 17053

    Identification of Parkinson’s disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach by Yifeng Yang, Liangyun Hu, Yang Chen, Weidong Gu, Guangwu Lin, YuanZhong Xie, Shengdong Nie

    Published 2025-02-01
    “…Two multi-modal fusion strategies were used: feature-level fusion, where we employed a hybrid feature selection algorithm combining Fisher discriminant analysis, an ensemble Lasso (EnLasso) method, and partial least squares (PLS) regression to identify and integrate the most informative features from neuroimaging and genetic data; and decision-level fusion, where we developed an adaptive ensemble stacking (AE_Stacking) model to synergistically integrate the predictions from multiple base classifiers trained on individual modalities.ResultsThe AE_Stacking model achieving the highest average balanced accuracy of 95.36% and an area under the receiver operating characteristic curve (AUC) of 0.974, significantly outperforming feature-level fusion and single-modal models (p < 0.05). …”
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  14. 17054

    Efficient recovery of rare metal lanthanum from water by MOF-modified biochar: DFT calculation and dynamic adsorption by Qilan Huang, Qianru Zhang, Shuwen Zhao, Chuchen Zhang, Huixin Guan, Jianqiao Liu

    Published 2025-02-01
    “…Abstract In this research, a novel metal-organic framework-modified biochar composite (MIL-88b@BC) was created for the first time by modifying rice husk biochar using the excellent adsorption properties of metal-organic framework (MOF), as well as reducing the solubility of MOF using biochar as a substrate, aiming to improve the understanding of the adsorption characteristics of rare-earth metal recycling and to predict its adsorption mechanism. Density functional theory (DFT) computations allowed for rationally constructing the adsorption model. …”
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  15. 17055

    COVID-19 vaccine uptake in Skåne county, Sweden, in relation to individual-level and area-level sociodemographic factors: a register-based cross-sectional analysis by Per-Olof Östergren, Louise Bennet, Jonas Björk, Adam Mitchell, Mahnaz Moghaddassi, Malin Inghammar

    Published 2024-04-01
    “…Absolute changes in percentage vaccinated between affluent and poor areas were largely similar across individual country of birth, income and education, both for at least two doses and for the booster doses.Conclusions COVID-19 vaccine uptake was associated with higher sociodemographic classifications both at the individual level and area level. The predicted proportion vaccinated increased with more affluent socioeconomic conditions and concurrent increases in individual household income were the strongest indicators. …”
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    Article
  16. 17056

    Clinical features and factors associated with short-term prognosis in patients with pulmonary embolism by V.Y. Tseluyko, L.M. Yakovleva, S.M. Sukhova, O.V. Radchenko, T.V. Pylova, A.S. Vnukova, K.Yu. Kinoshenko

    Published 2021-07-01
    “…The study found that 25 (13.3 %) patients died within 30 days (group I): 19 (76.0 %) patients belonged to a high risk of predicted early death and 6 (24.0 %) – to intermediate-high risk. …”
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    Article
  17. 17057

    Clinical and genetic aspects of albinism by V.V. Kadyshev, S.A. Ryazhskaya, O.V. Khalanskaya, N.V. Zhurkova, R.A. Zinchenko

    Published 2021-09-01
    “…Each case of albinism requir es an accurate molecular genetic diagnosis to provide a personalized treatment approach, predict life expectancy and health status, and plan pregnancy.…”
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    Article
  18. 17058

    Investigating the Effect of Bamboo Fibers on The Engineering Properties of Laterite Soils in Road Construction. by Kiiza, Obed

    Published 2023
    “…The UCS – CBR developed relationship using Microsoft excel software 2013 were of the second order polynomial in the form, α₁x² - α₂x + c, at R² values of 0.89 and 0.97 for soaked and unsoaked conditions respectively indicating a high correlation between the CBR and UCS thus, can be used to predict the UCS at various CBR values and bamboo fibre contents in treated lateritic soils. …”
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    Thesis
  19. 17059

    Impact of Small-Scale Businesses on Provision of Employment to Informal Labor Force in Kabale Municipality. by Uwibanze, Frank

    Published 2025
    “…The collected data was analyzed using quantitative analysis which majorly involved six major activities namely, data preparation, counting, grouping, relating, predicting, and statistical testing. The study concluded that most business owners used their own savings as startup capital for their businesses, hence operating at a small level with a structural hierarchy of bosses and support staff. …”
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    Thesis
  20. 17060

    Designing a security-oriented leadership model of Mazandaran University of Medical Sciences by Saeid Miladigorji, Mohammad Hassan Shakki, Mojtaba Rezaei Rad

    Published 2024-11-01
    “…Theoretical literature Security: Security means predicting and providing government assistance to meet people's needs in times such as illness, unemployment, old age, being immune and free from threats or illegal actions (Sadeghi, 2021). …”
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