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    The influence of growth sales, capital structure and corporate governance on financial performance of consumer non-cyclical firms in Indonesia by Fitri Yeni, Hamdy Hadi, Elfiswandi Elfiswandi

    Published 2024-03-01
    “…A total of the population was determined as samples by purposive sampling method. Data analysis using panel data regression. The result shows: 1) Growth Sales have a significant influence on market performance; however, it does not have a significant effect on profitability performance. 2) Capital Structure significantly influences market and profitability performance 3) Corporate governance significantly influences market and profitability performance. …”
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  6. 3546

    Empirically derived crop coefficient values for tomatoes grown in protected structures under climatic condition of Jalandhar, Punjab by VIKAS SHARMA, NITIN M. CHANGADE

    Published 2025-06-01
    “…However, these values may not fully account for the unique microclimatic variations within protected structures, creating a need for adjusted Kc values. …”
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    Sensing Techniques for Structural Health Monitoring: A State-of-the-Art Review on Performance Criteria and New-Generation Technologies by Ali Mardanshahi, Abhilash Sreekumar, Xin Yang, Swarup Kumar Barman, Dimitrios Chronopoulos

    Published 2025-02-01
    “…Recognizing these challenges, we explore next-generation advancements such as self-sensing structures, unmanned aerial vehicle deployment, IoT-enabled data fusion, and enhanced Digital Twin simulations. …”
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  9. 3549

    Structural and Rural Transformations and Poverty Reduction in Developing Asian Economies: An International Comparison Among China, the Philippines, and Vietnam by Qiu Chen, Jikun Huang, Mercedita A. Sombilla, Trang Truong

    Published 2025-02-01
    “…Based on a comparison with the provincial data from those three countries, both the graphic and regression analysis suggest that structural and rural transformations matter in rural poverty reduction in these three countries. …”
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    Integrating Large Language Models and Optimization in Semi- Structured Decision Making: Methodology and a Case Study by Gianpaolo Ghiani, Gianluca Solazzo, Gianluca Elia

    Published 2024-12-01
    “…Semi-structured decisions, which fall between highly structured and unstructured decision types, rely on human intuition and experience for the final choice, while using data and analytical models to generate tentative solutions. …”
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    Unveiling fine-scale spatial structures and amplifying gene expression signals in ultra-large ST slices with HERGAST by Yuqiao Gong, Xin Yuan, Qiong Jiao, Zhangsheng Yu

    Published 2025-04-01
    “…Abstract We propose HERGAST, a system for spatial structure identification and signal amplification in ultra-large-scale and ultra-high-resolution spatial transcriptomics data. …”
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  16. 3556

    Support vector regression model for the prediction of buildings’ maximum seismic response based on real monitoring data by Dongwang Tao, Shizhe Fang, Haixu Liu, Jianqi Lu, Jiang Wang, Qiang Ma

    Published 2024-12-01
    “…Existing machine learning based prediction models mainly rely on numerical simulation data or structural experiments and are not appropriate for prediction of seismic response of real structures. …”
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  17. 3557

    Legend Categories and Structure in Nagari Sungai Limau Dharmasraya District and Its Implications for Indonesian Language Learning by Ahmad Fauzi, Nurizzati Nurizzati

    Published 2024-04-01
    “…Data analysis techniques are carried out by classifying or grouping data, analyzing categories and legend structures, drawing conclusions from the entire research work process, and compiling and reporting research results. …”
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    Sensor Image, Anomaly Detection Method for Hydroelectric Dam Structure Using Sensors Measurements and Deep Learning by Van-Phuong Ha, Dinh-Van Nguyen, Trong-Chuong Trinh, Duc-Cuong Quach, Van HuyBui

    Published 2025-01-01
    “…To validate the proposed method, nearly seven years of sensor data collected from a critical section of a dam structure were used. …”
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    StructureNet: Physics-Informed Hybridized Deep Learning Framework for Protein–Ligand Binding Affinity Prediction by Arjun Kaneriya, Madhav Samudrala, Harrish Ganesh, James Moran, Somanath Dandibhotla, Sivanesan Dakshanamurthy

    Published 2025-05-01
    “…StructureNet improves existing DL methods by focusing entirely on structural descriptors to mitigate data memorization issues introduced by sequence and interaction data. …”
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