Frequency transfer and inverse design for metasurface under multi-physics coupling by Euler latent dynamic and data-analytical regularizations.

Frequency transfer is a key challenge in machine learning as it allows researchers to go beyond in-range analyses of spectrum properties towards out-of-the-range predictions. Traditionally, to predict properties at a specific frequency, targeted spectrum is included in training data for a deep neural network (DNN). However, due to limitations of measurement or computation source, training data at some frequencies are hardly accessible, especially for multi-physics problems.

Predicting Membrane Fouling of Submerged Membrane Bioreactor Wastewater Treatment Plants Using Machine Learning.

Membrane fouling remains a significant challenge in the operation of membrane bioreactors (MBRs). Plant operators rely heavily on observations of filtration performance from noisy sensor data to assess membrane fouling conditions and lab-based protocols for plant maintenance, often leading to inaccurate estimations of future performance and delayed membrane cleaning. This challenge is further compounded by the difficulty in integrating existing complex mechanistic models with the Internet of Things (IoT) systems of wastewater treatment plants (WWTPs).

Metabolomic analysis of rat arterial serum under hypobaric hypoxia: Adaptive regulation of physiological systems by metabolic reprogramming.

Objective: To investigate the associations between metabolic changes and functions, including energy metabolism, immune response, and redox balance, under short-term hypobaric hypoxia exposure. Non-targeted metabolomics and bioinformatics analysis were applied to explore the adaptive mechanisms of organisms in hypobaric hypoxia.

Methods: Healthy adult male Sprague-Dawley rats were placed in environments simulating altitudes of 6500 m (HC group) and 1588 m (Control group).

Contrastive Continual Multiview Clustering With Filtered Structural Fusion.

Multiview clustering thrives in applications where views are collected in advance by extracting consistent and complementary information among views. However, it overlooks scenarios where data views are collected sequentially, i.e.

Chronic Adaptations of the Shoulder in Baseball Pitchers: A Systematic Review.

Background: Understanding clinical and tissue adaptations to the throwing shoulder is important for optimizing injury prevention and rehabilitation programs in baseball players.

Purpose/hypothesis: The purpose of this study was to determine the chronic clinical (range of motion [ROM] and strength) and tissue adaptations of the throwing shoulder in baseball pitchers. It was hypothesized that the throwing shoulder would have increased external rotation (ER) ROM and decreased internal rotation (IR) ROM compared with the nonthrowing shoulder, but that calculations of soft tissue glenohumeral IR deficit (GIRD) and soft tissue ER gain (ERG) would show that the true soft tissue restrictions were instead in the direction of ER ROM.