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  1. 381

    Different Estimation Methods Using Ranked Set Sampling for the Ramos–Louzada Distribution by Diaa S. Metwally, Amal S. Hassan, Mohammed Elgarhy, Ehab M. Almetwally, Abdoulie Faal, Ahmed M. Gemeay

    Published 2025-06-01
    “…Thus, it can be concluded that the RSS estimates are more efficient than the SRS estimates. Furthermore, three real‐world datasets are selected and examined to demonstrate the practical use of the proposed estimation techniques. …”
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    Article
  2. 382

    Sample Rocks Tests and Slope Stability Analysis of a Mine Waste Dump by Ping Zou, Ximo Zhao, Zhonghua Meng, Aibing Li, Zhengyu Liu, Wanjie Hu

    Published 2018-01-01
    “…Based on a real mine project in a certain open-pit mine waste dump in Tibet, the in situ test on waste rocks from waste dump, including measurements of density, water content, rock size, and natural repose angle, was conducted. Afterwards, these sample waste rocks, of which grain size is less than 5 cm, were selected for indoor large-scale shear test under natural and saturated conditions. …”
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  3. 383

    A Sample of Extreme Eclipsing Binaries with Accretion Disks from LAMOST and ZTF by Jiangxinxin Zhuang, Zhi-Xiang Zhang, Wei-Min Gu, Senyu Qi

    Published 2025-01-01
    “…In this work, we aim to identify a sample of such systems by selecting binaries with pronounced eclipsing light curves, characterized by large variability (Δmag > 0.3 in the g band of the Zwicky Transient Facility, ZTF) and significant differences between primary and secondary eclipses (eclipse depth ratio >20 in the ZTF g band). …”
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  4. 384

    Infrared-selected Active Galactic Nuclei in the Kepler Fields by Tran Tsan, Matthew Malkan, Rick Edelson, Krista Smith, Daniel Stern, Matthew Graham

    Published 2025-01-01
    “…Subsequent to those observations, we obtained 125 long-slit optical spectra with the Lick 3 m telescope, 58 spectra with the Palomar 5 m telescope, and three spectra with the Keck 10 m telescope to test these identifications. …”
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    Article
  5. 385

    Sample ascertainment and clinical outcome measures in the Accelerating Medicines Partnership® Schizophrenia Program by Jean Addington, Lu Liu, Amy Braun, Andrea Auther, Monica E. Calkins, Barbara A. Cornblatt, Cheryl M. Corcoran, Paolo Fusar-Poli, Melissa J. Kerr, Catalina V. Mourgues-Codern, Angela R. Nunez, Dominic Oliver, Gregory P. Strauss, Barbara C. Walsh, Luis K. Alameda, Celso Arango, Nicholas J. K. Breitborde, Matthew R. Broome, Kristin S. Cadenhead, Ricardo E. Carrion, Eric Yu Hai Chen, Jimmy Choi, Michael J. Coleman, Philippe Conus, Covadonga M. Diaz-Caneja, Dominic Dwyer, Lauren M. Ellman, Masoomeh Faghankhani, Pablo A. Gaspar, Carla Gerber, Louise Birkedal Glenthøj, Leslie E. Horton, Christy Hui, Grace R. Jacobs, Joseph Kambeitz, Lana Kambeitz-Ilankovic, Matcheri S. Keshavan, Sung-Wan Kim, Nikolaos Koutsouleris, Jun Soo Kwon, Kerstin Langbein, Kathryn E. Lewandowski, Daniel Mamah, Patricia J. Marcy, Daniel H. Mathalon, Vijay A. Mittal, Merete Nordentoft, Godfrey D. Pearlson, Nora Penzel, Jesus Perez, Diana O. Perkins, Albert R. Powers, Jack Rogers, Fred W. Sabb, Jason Schiffman, Jai L. Shah, Steven M. Silverstein, Stefan Smesny, William S. Stone, Andrew Thompson, Judy L. Thompson, Rachel Upthegrove, Swapna Verma, Jijun Wang, Heather M. Wastler, Alana Wickham, Inge Winter-van Rossum, Daniel H. Wolf, Sylvain Bouix, Ofer Pasternak, Rene S. Kahn, Carrie E. Bearden, John M. Kane, Patrick D. McGorry, Kate Buccilli, Barnaby Nelson, Martha E. Shenton, Scott W. Woods, the Accelerating Medicines Partnership® -Schizophrenia, Alison R. Yung

    Published 2025-04-01
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  6. 386

    A Survey on Data Selection for Efficient Speech Processing by Abdul Hameed Azeemi, Ihsan Ayyub Qazi, Agha Ali Raza

    Published 2025-01-01
    “…To address this efficiency challenge, data selection has emerged as a crucial strategy. This survey provides a comprehensive overview and introduces a unifying taxonomy for data selection methods in speech processing, structured along three key dimensions: selection granularity (sample-level vs. segment-level), selection process (static, dynamic, or active learning), and selection criteria (uncertainty, diversity, or hybrid approaches). …”
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  7. 387

    Development of a selection system for the colour of wardrobe furniture by Chengmin Zhou, Zhenyu Li, Jake Kaner, Chaoxia Leng

    Published 2022-05-01
    “…Once the system was constructed, a company’s wardrobe colour selection and coated sheet sample was used as an example to test its efficacy. …”
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    Article
  8. 388
  9. 389

    Justifying the selection of a neural network linguistic classifier by Olessia Barkovska, Kseniia Voropaieva, Oleksandr Ruskikh

    Published 2023-11-01
    “…The following results were obtained: The LSTM model demonstrated superior classification accuracy across all three training sample sizes when compared to CNN. …”
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    Article
  10. 390

    Phylogenetic Position of Hungarian Grey Cattle Breed Based on Total-Representation Sample by Ákos Maróti-Agóts, Zsombor Wagenhoffer, Csilla Józsa, Endre Kaltenecker, Balázs Kemény, Kristóf Csurgay, Benedek Zsigmond, Irene Cardinali, Hovirag Lancioni, András Gáspárdy

    Published 2025-04-01
    “…All identified haplogroups belong to the taurine T macro-haplogroup, with a predominance of T3 (89.1%), followed by T2 (4.5%), T1 (3.6%), and T1′2′3 (2.7%). …”
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  11. 391

    Pharmacokinetic genes do not influence response or tolerance to citalopram in the STAR*D sample. by Eric J Peters, Susan L Slager, Jeffrey B Kraft, Greg D Jenkins, Megan S Reinalda, Patrick J McGrath, Steven P Hamilton

    Published 2008-04-01
    “…Fifteen polymorphisms from five (CYP2D6, ABCB1, CYP2C19, CYP3A4, and CYP3A5) pharmacokinetic genes were genotyped. …”
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  12. 392
  13. 393

    Adversarial Sample Generation Method Based on Frequency Domain Transformation and Channel Awareness by Yalin Gao, Dongwei Xu, Huiyan Zhu, Qi Xuan

    Published 2025-06-01
    “…The attack success rate of the proposed adversarial attack method reached 79.9%, which was 16.3% higher than that of the non-channel aware method, verifying the key role of accurate channel estimation in enhancing the effectiveness of the attack.…”
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  14. 394
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  16. 396

    Justifying the selection of a neural network linguistic classifier by Олеся Барковська, Ксенія Воропаєва, Олександр Руських

    Published 2023-09-01
    “…The following results were obtained: The LSTM model demonstrated superior classification accuracy across all three training sample sizes when compared to CNN. …”
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    Article
  17. 397

    Identification of novel FosX family determinants from diverse environmental samples by Nicolas Kieffer, Maria-Elisabeth Böhm, Fanny Berglund, Nachiket P. Marathe, Michael R. Gillings, D. G. Joakim Larsson

    Published 2025-03-01
    “…Objectives: This study aimed to identify novel fosfomycin resistance genes across diverse environmental samples, ranging in levels of anthropogenic pollution. …”
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  18. 398
  19. 399

    Retinopathy of Prematurity (ROP): An Overview of Biomarkers in Various Samples for Prediction, Diagnosis, and Prognosis by Huang D, Liu Z, Deng Y

    Published 2025-05-01
    “…Non-invasive or minimally invasive methods of obtaining samples and selecting biomarkers with high validity promise to be more beneficial for newborn, early diagnosis of ROP, and better prevention of blindness in preterm infants, providing relevant medical references for clinical practice.Keywords: retinopathy of prematurity, biomarkers, neonatal screening, early diagnosis…”
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  20. 400