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281
This is the raw data used for this study.
منشور في 2025"…Occipital headaches decreased from 66% to 6%. Rotator cuff impingement decreased from 87% to 10%. …"
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282
Pre-operative versus post-operative symptoms.
منشور في 2025"…Occipital headaches decreased from 66% to 6%. Rotator cuff impingement decreased from 87% to 10%. …"
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283
Patient Demographics.
منشور في 2025"…Occipital headaches decreased from 66% to 6%. Rotator cuff impingement decreased from 87% to 10%. …"
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284
Diagnostic Criteria for Human Disharmony Loop.
منشور في 2025"…Occipital headaches decreased from 66% to 6%. Rotator cuff impingement decreased from 87% to 10%. …"
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
Decoding the Structure–Property–Function Relationships in Covalent Organic Frameworks for Sustainable Battery Design
منشور في 2025"…Pore decoration of the frameworks with glycol side chains dramatically reduced ion mobility due to increased electrostatic interactions. …"
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295
Qualitative Examples of Corrected Sentences.
منشور في 2025"…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …"
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296
Ablation Experiment Results.
منشور في 2025"…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …"
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297
Meaning of Each Model.
منشور في 2025"…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …"
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298
Overview of Related Work.
منشور في 2025"…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …"
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299
Parameter Settings.
منشور في 2025"…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …"
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300
Comparison with Advanced Models.
منشور في 2025"…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …"