Results 91 to 100 of about 5,275,021 (315)

Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors

Advanced Science, EarlyView.
Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu, Fumiaki Iwane, Minsu Zhang, Leonardo G. Cohen, José del R. Millán   +4 more
wiley   +1 more source

A Clinical Study of Internal Derangement of Temporomandibular Joint Diagnosed with Magnetic Resonance Imaging

, 1996
Internal derangement of thee temporomandibular joint (TMJ) can be defined as an -abnormal relationship of the articular disc to the condylar head and articular eminence.
Hwang, BN, Lee, JK, Lee, JH
core   +1 more source

An Innovative Approach to Managing Temporomandibular Disorders Through the Combined Use of Two Oral Devices: A Case Report

Applied Sciences
Temporomandibular disorders (TMD) are increasingly prevalent in the adult population. Given the multifactorial and often chronic nature of TMD, the ideal therapeutic approach must be multimodal and personalized, with a preference for conservative ...
Antonio Spagnuolo, Roberta Iacono, Gian Mauro Liberatore, Carlo Di Paolo   +3 more
doaj   +1 more source

Internal derangements of the temporomandibular joint: A review of the anatomy, diagnosis, and management

The Journal of Indian Prosthodontic Society, 2015
Internal derangements of the temporomandibular joint are conditions in which the articular disc has become displaced from its original position the condylar head. Relevant anatomic structures and their functional relationships are briefly discussed.
Andrew L Young
doaj   +1 more source

Relationship between internal derangement of the temporomandibular joint and dentofacial morphology in women with anterior open bite [PDF]

, 2005
Introduction: Anterior open bite is known to be associated with internal derangement of the temporomandibular joint (TMJ). This study examined the relationships between internal derangement and dentofacial morphology in women with anterior open bite ...
Kim, Tae-Woo, Tae-Woo Kim, Sug-Joon Ahn, Ahn, Sug-Joon, Eun-Sun Byun, Byun, Eun-Sun   +5 more
core   +1 more source

Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries

Advanced Science, EarlyView.
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park, Myeongcho Jang, Hun‐Gi Jung, Kyung Yoon Chung, Seungho Yu   +4 more
wiley   +1 more source

COMPARISON OF THE EFFICACY OF TWO TECHNIQUES OF PROLOTHERAPY IN THE TREATMENT OF TEMPOROMANDIBULAR JOINT INTERNAL DERANGEMENT [PDF]

Alexandria Dental Journal
Introduction: Internal temporomandibular joint (TMJ) derangements are uncomfortable conditions that result in mouth locking, malocclusion and joint dysfunction.
Abdelrahman Ali, Lydia Melek, Nevien Mohamed   +2 more
doaj   +1 more source

CXCL10/SLC11A1 Axis Exacerbates Septic Liver Injury by Regulating Neutrophil Extracellular Traps Formation to Drive Macrophage Pro‑Inflammatory Polarization

Advanced Science, EarlyView.
In sepsis‐induced liver injury, marked neutrophil infiltration correlates with disease severity. Neutrophil SLC11A1 drives intracellular Fe2+ and ROS via the Fenton reaction, promoting NETs formation. Hepatocyte‐derived CXCL10 recruits neutrophils and activates the JAK/STAT1/SLC11A1 axis, enhancing NETs‐mediated inflammation.
Haiping Lin, Shicong Zheng, Pei Song, Jie Chang, Zewei Chen, Cang Li, Min Yu, Lude Wang, Shian Yu   +8 more
wiley   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

Advanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li, Chenhao Liu, Dongrui Wu, Zhigang Zeng, Lieyun Ding   +4 more
wiley   +1 more source

Does the lavage volume affect the clinical outcome after temporomandibular joint arthrocentesis? Perspective randomized controlled clinical study

Advances in Oral and Maxillofacial Surgery
Background: Literature variations have been found about the volume of the solution used for the irrigation of TMJ. Purpose: The aim of the current study was to investigate the effect of different lavage volume on the clinical outcome after arthrocentesis
Ayman F. Hegab, Maraai I.S. Said (Orafi)
doaj   +1 more source