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  1. 1281

    MOBS-TD: Multiobjective Band Selection With Ideal Solution Optimization Strategy for Hyperspectral Target Detection by Xudong Sun, Peng Lin, Xiaodi Shang, Huijuan Pang, Xianping Fu

    Published 2024-01-01
    “…Subsequently, a weighted similarity to ideal solution strategy is developed to clearly describe the dominance relations and strike a balance among multiple objectives in evolution. In addition, we devise an evaluation mechanism based on the ratio of maximum to submaximum, which is devised for selecting the optimal solution from the Pareto front, which has been empirically validated to be effective in reducing false alarms. …”
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  2. 1282

    RESEARCH OF ORIENTATION OF THE MODEL AND SCANNING SPEED TO THE RESULTING SURFACE ROUGHNESS IN THE SELECTIVE LASER MELTING TECHNOLOGY by Jan Milde, Marcle Kuruc, Jakub Hrbál, Patrik Dobrovszky, Tomáš Macháč

    Published 2025-06-01
    “…SLM, an additive fabrication technique based on Powder Bed Fusion, utilizes a high power-density laser to selectively melt and fuse metallic powder, forming distinct regions within and between layers. …”
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    Article
  3. 1283

    An interpretable XAI deep EEG model for schizophrenia diagnosis using feature selection and attention mechanisms by Ahmad Almadhor, Stephen Ojo, Thomas I. Nathaniel, Shtwai Alsubai, Abdullah Alharthi, Abdullah Al Hejaili, Gabriel Avelino Sampedro

    Published 2025-07-01
    “…Important EEG characteristics that influence model decisions are highlighted by the interpretable BiLSTM-Attention model using attention weights in conjunction with SHAP and LIME explainability tools. In addition to fine-tuning input dimensionality, F-test feature selection increases learning efficiency.ResultsThrough the integration of feature importance analysis and conventional performance measures, this study presents valuable insights into the discriminative neurophysiological patterns associated with Schizophrenia, advancing both diagnostic and neuroscientific expertise. …”
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  4. 1284
  5. 1285

    Chemical Phase Analysis of Arsenic Ores—A Study on Selective Separation Conditions of Orpiment and Realgar by Yani DONG, Ying XIONG, Ruohui PEI, Xiao ZHANG, Guangjin XIE, Changzheng CUI

    Published 2024-04-01
    “…Due to the spatial structure of realgar being oxidized, the addition of iodine can oxidize it into arsenic oxide that is easily soluble in alkali, increasing the extraction rate to 92.2%. …”
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    Article
  6. 1286

    Technology for Obtaining Sintered Components with Tailored Electromagnetic Features by Selective Recycling of Printed Circuit Boards by Romeo Cristian Ciobanu, Mihaela Aradoaei, Cristina Schreiner

    Published 2024-09-01
    “…The paper presents a technological approach for obtaining sintered components with tailored electromagnetic features from electromagnetically active powders through the selective recycling of electronic waste, in particular scrap electronic components. …”
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  7. 1287
  8. 1288

    A multi-objective multi-factor integrated method for comprehensive luna base site selection by Yuan Li, Xusheng Zhang, Junying Lv, Wuming Zhang, Zhouxuan Xiao, Ziyi Xiong

    Published 2025-05-01
    “…Additionally, the proposed site selection method holds relevance for similar site selection tasks where multiple objectives are set. …”
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    Article
  9. 1289

    Guideline for the use of therapeutic drug monitoring of antipsychotics to individualize the selection of therapy in the treatment of exacerbation of schizophrenia by S. S. Potanin, M. M. Morozova, A. G. Beniashvili, D. S. Burminskiy, I. I. Miroshnichenko

    Published 2023-12-01
    “…The main indications for TDM AP in the treatment of exacerbation of schizophrenia are signs of impaired drug compliance, insufficient efficacy of therapy, pronounced dose-dependent side effects, and the addition of concomitant therapy that can significantly affect the concentration of AP. …”
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  10. 1290
  11. 1291
  12. 1292

    SLIPT-Assisted Dual-Hop VLC/RF With Relay Selection: Outage Probability Analysis and Optimization by van Khoe Ta, Ic-Pyo Hong, Giang N. Tran

    Published 2025-01-01
    “…The relay is selected from multiple devices in the VLC coverage and equipped with both solar cell and RF antenna for energy harvesting, receiving signal and transmitting message to the end user. …”
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  13. 1293

    Green technology investment and channel selection in sustainable food supply chain based on blockchain technology by Yuting Zhang, Juan Shang

    Published 2025-08-01
    “…In the context of rapidly rising consumer demand for green food, this paper aims to systematically examine how green technology investment and blockchain technology influence the channel selections and operational decisions of members in the sustainable food supply chain. …”
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  14. 1294

    Robust Detection of Hot Intragroup Medium in Optically Selected, Poor Galaxy Groups by eROSITA by Dawei Li, Taotao Fang, Chong Ge, Teng Liu, Lin He, Zhiyuan Li, Fabrizio Nicastro, Xiaohu Yang, Xiaoxia Zhang, Yun-Liang Zheng

    Published 2024-01-01
    “…Here, we show a robust detection of this hot IGrM in a large, optically selected poor groups sample, based on the stacked X-ray images from the eROSITA Final Equatorial Depth Survey. …”
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  15. 1295

    Profiling of Circulating Tumor Cells for Screening of Selective Inhibitors of Tumor‐Initiating Stem‐Like Cells by Chia‐Lin Chen, Juan Carlos Hernandez, Dinesh Babu Uthaya Kumar, Tatsuya Machida, Stanley M. Tahara, Anthony El‐Khoueiry, Meng Li, Vasu Punj, Suresh Kumar Swaminathan, Ameya Kirtane, Yibu Chen, Jayanth Panyam, Keigo Machida

    Published 2023-05-01
    “…Abstract A critical barrier to effective cancer therapy is the improvement of drug selectivity, toxicity, and reduced recurrence of tumors expanded from tumor‐initiating stem‐like cells (TICs). …”
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  16. 1296

    EXAMINING THE IMPACT OF FEATURE SELECTION TECHNIQUES ON MACHINE AND DEEP LEARNING MODELS FOR THE PREDICTION OF COVID-19 by Hafiza Zoya Mojahid, Jasni Mohamad Zain, Marina Yusoff, Abdul Basit, Abdul Kadir Jumaat, Mushtaq Ali

    Published 2025-04-01
    “…LASSO with SVM performed the best overall in terms of accuracy = 0.7679 and precision=0.8236, but PCA outperformed RFE with XGBoost, underscoring the importance of matching feature selection methods to model types. In addition, we employ a deep learning Feature Selection method based on Extreme Learning Machine (FSELM) and compare its effectiveness against the established feature selection techniques. …”
    Article
  17. 1297
  18. 1298

    Risk factors for highly pathogenic avian influenza outbreaks in Japan during 2022–2023 season identified by additive Bayesian network modeling by Emi Yamaguchi, Yoko Hayama, Sonoko Kondo, Takehisa Yamamoto

    Published 2025-07-01
    “…To identify farm-level risk factors for HPAI infection while considering potential confounding and correlations among variables, an additive Bayesian network (ABN) model was applied. …”
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  19. 1299

    Additive manufacturing of short fiber-reinforced C/SiC composite via fused deposition modeling: Effect of fiber length on performance by Geng Hou, Siyao You, Wei Liu

    Published 2025-07-01
    “…This study used screw extrusion-based fused deposition modeling (FDM) with a paraffin-plastic hybrid base binder system to additive manufacture the short fiber-reinforced C/SiC composite. …”
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  20. 1300