401
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404
https://doie.org/10.10399/JBSE.2025909936
405
https://doie.org/10.10399/APER.2025665699
406
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407
https://doie.org/10.10399/CJEBM.2025259344
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https://doie.org/10.97248/IJBMS.2025227985
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https://doie.org/10.10399/CJLM.2025542288
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https://doie.org/10.65985/jbse.2025338500
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https://doie.org/10.65985/APER.2025432081
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https://doie.org/10.65985/APER.2025248444
415
https://doie.org/10.65985/APER.2025551126
416
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417
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https://doie.org/10.97248/IJST.2025558640
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https://doie.org/10.10206/IJRTSM.2025144709
420
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