Transferable layered physics-informed learning for status sensing of high-power induction furnace.

High-power induction furnace (IF) is a highly complex thermoelectric system with strong nonlinear time-varying characteristics. The lack of direct online measurement methods complicates status awareness, leading to apparent "black-box" behavior and sensing difficulties. We propose a transferable layered physics-informed learning-based modeling approach to address the above challenges.

Forced event-triggered finite-time extended dissipative control for a class of singularly perturbed switched systems.

In this paper, the issue of event-triggered finite-time extended dissipative control is investigated for singularly perturbed switched systems(SPSSs). In the application of event-triggered technique in switched systems, the transmitted information is often out of sync with the system mode. To avoid this asynchrony problem, a forced-triggering dynamic event-triggered protocol (FTDETP) is introduced.

Synthesis of (+)-Saxitoxin Facilitated by a Chiral Auxiliary for Photocycloadditions Involving Alkenylboronate Esters.

(+)-Saxitoxin, a potent neurotoxin and Na blocker, poses significant synthetic challenges due to its compact tricyclic framework and guanidinium moieties. We report a concise and asymmetric total synthesis featuring an intramolecular [2 + 2] photocycloaddition of an alkenylboronate ester equipped with a new chiral auxiliary. This auxiliary, compatible with UV light and easily exchangeable on B(pin) derivatives, enabled high stereocontrol through hydrogen-bond-mediated transition-state stabilization.

Multi-omics analysis reveals the collaboration and metabolisms of the anammox consortia driven by soluble/non-soluble Fe(III) as the sole iron element.

Iron is recognized as a physiological requirement for anammox bacteria (AnAOB), with Fe(II) considered to be the most effective form. However, Fe(III), instead of Fe(II) is the common iron form in natural and artificial ecosystems. In this study, the nitrogen removal performance and metabolic mechanisms in anammox consortia with soluble and non-soluble Fe(III) as the sole iron element were investigated.

Parental homework involvement and students' mathematics achievement: a meta-analysis.

Introduction: Given the importance of parent involvement to students' academic achievement, researchers have used a variety of methods to investigate the relationship between the two, but few focus on the relationship between parental homework involvement and students' achievement in a specific subject by using meta-analysis. This meta-analysis investigated the relationship between parent homework involvement and students' mathematics achievement from two dimensions: supportive (SPI) and intrusive parent homework involvement (IPI), along with their moderators.

Methods: Accessed through Web of Science, Taylor and Francis Online, EBSCO, Springer Link, Elsevier, and ProQuest databases, a total of 20 empirical studies between 2005 to 2022, 41 independent effect sizes were included ( = 16,338).

Co/N co-doped porous carbon as a catalyst for the degradation of RhB by efficient activation of peroxymonosulfate.

We report on the preparation of Co/N-NPC with porous structure and excellent activation properties. The synthesis involves the preparation of Zn/Co-ZIF and the carbonization of Zn/Co-ZIF at a high temperature in an inert atmosphere. The volatilization of zinc during carbonization results in a porous structure, which is beneficial to the migration of pollutants.

Automated rock mass condition assessment during TBM tunnel excavation using deep learning.

Rock mass condition assessment during tunnel excavation is a critical step for the intelligent control of tunnel boring machine (TBM). To address this and achieve automatic detection, a visual assessment system is installed to the TBM and a lager in-situ rock mass image dataset is collected from the water conveyance channel project. The rock mass condition assessment task is transformed into a fine-grain classification task.

Sampled-data-based vibration control for structural systems with finite-time state constraint and sensor outage.

The problem of sampled-data-based vibration control for structural systems with finite-time state constraint and sensor outage is investigated in this paper. The objective of designing controllers is to guarantee the stability and anti-disturbance performance of the closed-loop systems while some sensor outages happen. Firstly, based on matrix transformation, the state-space model of structural systems with sensor outages and uncertainties appearing in the mass, damping and stiffness matrices is established.

Changes in the myosin secondary structure and shrimp surimi gel strength induced by dense phase carbon dioxide.

Dense phase carbon dioxide (DPCD) could induce protein conformation changes. Myosin and shrimp surimi from Litopenaeus vannamei were treated with DPCD at 5-25MPa and 40-60°C for 20min. Myosin secondary structure was investigated by circular dichroism and shrimp surimi gel strength was determined using textural analysis to develop correlations between them.