Showing 1,041 - 1,060 results of 2,390 for search '"Prediction', query time: 0.07s Refine Results
  1. 1041

    Targeting aldose reductase using natural African compounds as promising agents for managing diabetic complications by Miriam E. L. Gakpey, Shadrack A. Aidoo, Toheeb A. Jumah, George Hanson, Siyabonga Msipa, Florence N. Mbaoji, Omonijo Bukola, Palesa C. Tjale, Mamadou Sangare, Hedia Tebourbi, Olaitan I. Awe

    Published 2025-02-01
    “…The ADMET and protein-ligand interaction results revealed that these compounds interacted with key inhibiting residues through hydrogen and hydrophobic interactions and demonstrated favorable pharmacological and low toxicity profiles. Prediction of biological activity highlighted Zinc000095485961 and 1,6-di-o-p-hydroxybenzoyl-beta-d-glucopyranoside as having significant inhibitory activity against aldose reductase. …”
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  2. 1042

    Proteomics unveil candidate biomarkers and pathogenesis of subacute thyroiditis by Litong Ran, Xiufei Liu, Yongfeng Tian, Jiaran Zhu, Zhengyuan Gong, Qiao Qiao, Xin Jiang, Yuren Wang, Guojun Yang, Hongting Zheng, Yi Zheng, Hua Qu

    Published 2025-02-01
    “…Thus, these high-abundance proteins can potentially serve as biomarkers for SAT diagnosis and outcome prediction. Our findings provide valuable insights into SAT biomarkers and shed light on the potential pathogenesis and therapeutic targets of SAT.…”
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  3. 1043

    BIJAKAWEB: Platform Berbasis Web Untuk Deteksi Hate Speech Pada Komentar Berita Bahasa Indonesia by Moh. Firdaus, Permata Nur Miftahur Rizki

    Published 2024-08-01
    “…This research has produced several significant contributions, including the availability of a new dataset for relevant research, a fine-tuned IndoBERT model accessible to the public on HuggingFace, and the development of the BijakaWeb platform using the full-stack Django framework, capable of real-time scraping and hate speech prediction. It is hoped that this research can assist news portals in moderating online news comments to combat hate speech and provide a model that can be used and adapted by other online news platforms to prevent the spread of hate speech on the internet.   …”
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  4. 1044
  5. 1045

    The efficacy of neoadjuvant immunotherapy and lymphocyte subset predictors in locally advanced esophageal squamous cell carcinoma: A retrospective study by Ruotong Wang, Shaodi Wen, Xiaoyue Du, Jingwei Xia, Bowen Hu, Yihan Zhang, Guoren Zhou, Feng Jiang, Xiaomin Lu, Miaolin Zhu, Xinyu Xu, Bo Shen

    Published 2024-09-01
    “…Evaluating the differentiation status and dynamic changes of peripheral blood immune cells may provide valuable predictive insights into treatment efficacy and prognosis.…”
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  6. 1046

    Key prognostic risk factors linked to poor functional outcomes in cerebral venous sinus thrombosis: a systematic review and meta-analysis by Lili Lin, Senfeng Liu, Wei Wang, Xiao-kuo He, Muhammad Hibatullah Romli, Ruthpackiavathy Rajen Durai

    Published 2025-02-01
    “…Several studies have identified prognostic risk factors associated with poor functional outcomes and established predictive models. This systematic review and meta-analysis assessed the overall effect size of all prognostic risk factors. …”
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  7. 1047

    Refined construction of semi-provincial hydrogeological models using hierarchical modeling: A case study in Western Shandong Province, China by Guangjun Ji, Zizhao Cai, Xiaobo Tan, Tao Wang, Chuanqi Wang, Qiuxiao Xu, Bo Zhou, Yang Cui

    Published 2025-04-01
    “…Calculation methods for predicting groundwater resource storage variables and single-well water inflow were explored based on hydrogeological attribute models. …”
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  8. 1048
  9. 1049

    Prediksi Kesiapan Sekolah Menggunakan Machine Learning Berbasis Kombinasi Adam dan Nesterov Momentum by Indah Mustika Rahayu, Ahmad Yusuf, Mujib Ridwan

    Published 2022-12-01
    “…Based on previous NST data, it can be designed as a school readiness prediction model that will facilitate teachers and parents in knowing the readiness of children to enter elementary school. …”
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  10. 1050
  11. 1051
  12. 1052
  13. 1053

    Prediksi Kelulusan Tepat Waktu Berdasarkan Riwayat Akademik Menggunakan Metode K-Nearest Neighbor by Imam Riadi, Rusydi Umar, Rio Anggara

    Published 2024-08-01
    “…The test results point k=1 to point k=7, k=3 is the highest prediction accuracy value so that the research results become a source of knowledge for the faculty in predicting student graduation. …”
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  14. 1054

    The diagnostic value of the combined application of blood lipid metabolism markers and interleukin-6 in osteoporosis and osteopenia by Liping Fan, Jiahao Chen, Chong Chen, Yongwei Zhang, Yeqing Yang, Zhe Chen

    Published 2025-02-01
    “…Abstract Background This study aimed to analyse the relationship of the blood lipid profile and interleukin-6 (IL-6) with osteoporosis and osteopenia and to explore the predictive value of the combined application of these biomarkers in osteoporosis and osteopenia. …”
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  15. 1055

    Intelligence algorithm for the treatment of gastrointestinal diseases based on immune monitoring and neuroscience: A revolutionary tool for translational medicine by Liangyu Li, Xuewen Qin, Guangwei Wang, Siyi Li, Xudong Li, Lizhong Guo, Javier Santos, Ana María Gonzalez-Castro, Yanyang Tu, Yi Qin

    Published 2025-02-01
    “…The working mechanism of this model is to assign values to the parameters of the BP neural network by using the process of searching for the best fitness in multiple universes. This model can predict the five-year survival rate of patients based on immunohistochemical data. …”
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  16. 1056
  17. 1057

    AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology by Yingnan Zhao, Huifen Ye, Jing Yang, Su Yao, Maohua Lv, Zhihong Chen, Yunrui Ye, Qingru Hu, Cheng Lu, Zaiyi Liu, Ke Zhao, Zhihua Chen

    Published 2025-03-01
    “…Background: Whole-slide image (WSI) is foundational for artificial intelligence in tumor diagnosis, treatment planning, and prognosis prediction. Efficient management of WSI labels is crucial for clinical digitalization; however, manual or semiautomatic methods limit scalability. …”
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  18. 1058

    AI-based tumor-infiltrating lymphocyte scoring system for assessing HCC prognosis in patients undergoing liver resection by Zhiyang Chen, Tingting Xie, Shuting Chen, Zhenhui Li, Su Yao, Xuanjun Lu, Wenfeng He, Chao Tang, Dacheng Yang, Shaohua Li, Feng Shi, Huan Lin, Zipei Li, Anant Madabhushi, Xiangtian Zhao, Zaiyi Liu, Cheng Lu

    Published 2025-02-01
    “…This system is a promising tool for advancing clinical immune microenvironment assessment and outcome prediction. Impact and implications:: CD8+ tumor-infiltrating lymphocytes (TILs) have been identified as a prognostic factor associated with many cancers. …”
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  19. 1059

    Engineering Circuit Analysis / by Hayt, William H. (William Hart), Jr., 1920-1999

    Published 2012
    Table of Contents: “…Mesh Analysis: A Comparison -- 4.6.Computer-Aided Circuit Analysis -- Summary And Review -- Reading Further -- Exercises -- ch. 5 Handy Circuit Analysis Techniques -- 5.1.Linearity and Superposition -- 5.2.Source Transformations -- 5.3.Thevenin and Norton Equivalent Circuits -- 5.4.Maximum Power Transfer -- 5.5.Delta-Wye Conversion -- 5.6.Selecting an Approach: A Summary of Various Techniques -- Summary And Review -- Reading Further -- Exercises -- ch. 6 The Operational Amplifier -- 6.1.Background -- 6.2.The Ideal Op Amp: A Cordial Introduction -- 6.3.Cascaded Stages -- 6.4.Circuits for Voltage and Current Sources -- 6.5.Practical Considerations -- 6.6.Comparators and the Instrumentation Amplifier -- Summary And Review -- Reading Further -- Exercises -- ch. 7 Capacitors And Inductors -- 7.1.The Capacitor -- 7.2.The Inductor -- 7.3.Inductance and Capacitance Combinations -- 7.4.Consequences of Linearity -- 7.5.Simple Op Amp Circuits with Capacitors -- 7.6.Duality -- 7.7.Modeling Capacitors and Inductors with PSpice -- Summary And Review -- Reading Further -- Exercises -- ch. 8 Basic Rl And Rc Circuits -- 8.1.The Source-Free RL Circuit -- 8.2.Properties of the Exponential Response -- 8.3.The Source-Free RC Circuit -- 8.4.A More General Perspective -- 8.5.The Unit-Step Function -- 8.6.Driven RL Circuits -- 8.7.Natural and Forced Response -- 8.8.Driven AC Circuits -- 8.9.Predicting the Response of Sequentially Switched Circuits -- Summary And Review -- Reading Further -- Exercises -- ch. 9 The Rcl Circuit -- 9.1.The Source-Free Parallel Circuit -- 9.2.The Overdamped Parallel RLC Circuit -- 9.3.Critical Damping -- 9.4.The Underdamped Parallel RLC Circuit -- 9.5.The Source-Free Series RLC Circuit -- 9.6.The Complete Response of the RLC Circuit -- 9.7.The Lossless LC Circuit -- Summary And Review -- Reading Further -- Exercises -- ch. 10 Sinusoidal Steady-State Analysis -- 10.1.Characteristics of Sinusoids -- 10.2.Forced Response to Sinusoidal Functions -- 10.3.The Complex Forcing Function -- 10.4.The Phasor -- 10.5.Impedance and Admittance -- 10.6.Nodal and Mesh Analysis -- 10.7.Superposition, Source Transformations and Thevenin's Theorem -- 10.8.Phasor Diagrams -- Summary And Review -- Reading Further -- Exercises -- ch. 11 Ac Circuit Power Analysis -- 11.1.Instantaneous Power -- 11.2.Average Power -- 11.3.Effective Values of Current and Voltage -- 11.4.Apparent Power and Power Factor -- 11.5.Complex Power -- Summary And Review -- Reading Further -- Exercises -- ch. 12 Polyphase Circuits -- 12.1.Polyphase Systems -- 12.2.Single-Phase Three-Wire Systems -- 12.3.Three-Phase Y-Y Connection -- 12.4.The Delta (A) Connection -- 12.5.Power Measurement in Three-Phase Systems -- Summary And Review -- Reading Further -- Exercises -- ch. 13 Magnetically Coupled Circuits -- 13.1.Mutual Inductance -- 13.2.Energy Considerations -- 13.3.The Linear Transformer -- 13.4.The Ideal Transformer -- Summary And Review -- Reading Further -- Exercises -- ch. 14 Complex Frequency And The Laplace Transform -- 14.1.Complex Frequency -- 14.2.The Damped Sinusoidal Forcing Function -- 14.3.Definition of the Laplace Transform -- 14.4.Laplace Transforms of Simple Time Functions -- 14.5.Inverse Transform Techniques -- 14.6.Basic Theorems for the Laplace Transform -- 14.7.The Initial-Value and Final-Value Theorems -- Summary And Review -- Reading Further -- Exercises -- ch. 15 Circuit Analysis In The s-Domain -- 15.1.Z(s) and Y(s) -- 15.2.Nodal and Mesh Analysis in the s-Domain -- 15.3.Additional Circuit Analysis Techniques -- 15.4.Poles, Zeros, and Transfer Functions -- 15.5.Convolution -- 15.6.The Complex-Frequency Plane -- 15.7.Natural Response and the s Plane -- 15.8.A Technique for Synthesizing the Voltage Ratio H(s) = V out/V in -- Summary And Review -- Reading Further -- Exercises -- ch. 16 Frequency Response -- 16.1.Parallel Resonance -- 16.2.Bandwidth and High-Q Circuits -- 16.3.Series Resonance -- 16.4.Other Resonant Forms -- 16.5.Scaling -- 16.6.Bode Diagrams -- 16.7.Basic Filter Design -- 16.8.Advanced Filter Design -- Summary And Review -- Reading Further -- Exercises -- ch. 17 Two-Port Networks -- 17.1.One-Port Networks -- 17.2.Admittance Parameters -- 17.3.Some Equivalent Networks -- 17.4.Impedance Parameters -- 17.5.Hybrid Parameters -- 17.6.Transmission Parameters -- Summary And Review -- Reading Further -- Exercises -- ch. 18 Fourier Circuit Analysis -- 18.1.Trigonometric Form of the Fourier Series -- 18.2.The Use of Symmetry -- 18.3.Complete Response to Periodic Forcing Functions -- 18.4.Complex Form of the Fourier Series -- 18.5.Definition of the Fourier Transform -- 18.6.Some Properties of the Fourier Transform -- 18.7.Fourier Transform Pairs for Some Simple Time Functions -- 18.8.The Fourier Transform of a General Periodic Time Function -- 18.9.The System Function and Response in the Frequency Domain -- 18.10.The Physical Significance of the System Function -- Summary And Review -- Reading Further -- Exercises.…”
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  20. 1060

    Data-driven understanding on soccer team tactics and ranking trends: Elo rating-based trends on European soccer leagues. by Dong Hee Jung, Jason J Jung

    Published 2025-01-01
    “…The findings indicate that the accuracy of predicting defensive strategies using count-based predictions was approximately 85%, while the performance of predicting aggressive strategies through rank-based predictions was 89%. …”
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