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We further highlight current limitations in mechanistic understanding and emphasize the need for integrative approaches combining structural biology and proteomics to resolve how effectors reprogram host signaling systems.

The demand for the condition monitoring of induction motors is increasing in various fields, such as industry, transportation, and daily life. Bearing faults are the most common faults, and many fault diagnosis methods have been proposed using artificial pitting as the fault factor in most cases.

Abstract The presence of bacterial biofilms and the occurrence of excessive inflammatory response greatly imped the healing process of chronic wounds in diabetic patients. However, effective strategies to simultaneously address these issues are still lacking.

There is widespread use of nuclear radiation for medical imagery and treatments. Worldwide, almost 40 million treatments are performed per year.

Introduction: Fully detect risks of nerve damage, which can lead to temporary or permanent issues. Cone-beam computed tomography (CBCT) offers a three-dimensional (3D) view, providing more detailed visualisation of anatomical structures and their spatial relationships, which improves the accuracy of predicting nerve exposure.

Chords are based on discrete spectra and polarity: (n mod 12, P±). When organized into the chord-encoding form: (-n, -n, 0, n, n) mod 12, intrinsic semantics are synchronously generated.

Chords are based on discrete spectra and polarity: (n mod 12, P±). When organized into the chord-encoding form: (-n, -n, 0, n, n) mod 12, intrinsic semantics are synchronously generated.

Observational machine learning models (e.g., Transformers, CNNs, Random Forests) fit joint probability distributions P(Y|X) and inherently break down out-of-distribution when spurious correlations fail under environmental volatility.

Observational machine learning models (e.g., Transformers, CNNs, Random Forests) fit joint probability distributions P(Y|X) and inherently break down out-of-distribution when spurious correlations fail under environmental volatility.

Background: Myocardial infarction (MI) is a significant cause of death in diabetic patients. Growing evidence suggests that mitochondrial dysfunction contributes to heart failure in diabetes.