-
281
This is the raw data used for this study.
Published 2025“…Occipital headaches decreased from 66% to 6%. Rotator cuff impingement decreased from 87% to 10%. …”
-
282
Pre-operative versus post-operative symptoms.
Published 2025“…Occipital headaches decreased from 66% to 6%. Rotator cuff impingement decreased from 87% to 10%. …”
-
283
Patient Demographics.
Published 2025“…Occipital headaches decreased from 66% to 6%. Rotator cuff impingement decreased from 87% to 10%. …”
-
284
Diagnostic Criteria for Human Disharmony Loop.
Published 2025“…Occipital headaches decreased from 66% to 6%. Rotator cuff impingement decreased from 87% to 10%. …”
-
285
-
286
-
287
-
288
-
289
-
290
-
291
-
292
-
293
-
294
Decoding the Structure–Property–Function Relationships in Covalent Organic Frameworks for Sustainable Battery Design
Published 2025“…Pore decoration of the frameworks with glycol side chains dramatically reduced ion mobility due to increased electrostatic interactions. …”
-
295
Qualitative Examples of Corrected Sentences.
Published 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. …”
-
296
Ablation Experiment Results.
Published 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. …”
-
297
Meaning of Each Model.
Published 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. …”
-
298
Overview of Related Work.
Published 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. …”
-
299
Parameter Settings.
Published 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. …”
-
300
Comparison with Advanced Models.
Published 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. …”