This paper highlights that metrics from the machine learning field (e.g., entropy and information gain) used to qualify a classifier model can be used to evaluate the effectiveness of separation systems. To evaluate the efficiency of separation systems and their operation units, entropy- and information gain-based metrics were developed. The receiver operating characteristic (ROC) curve is used to determine the optimal cut point in a separation system. The proposed metrics are verified by simulation experiments conducted on the stochastic model of a waste-sorting system.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11275612 | PMC |
| http://dx.doi.org/10.3390/e26070571 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
miR-199a-3p mitigates simulated microgravity-induced cardiac remodeling by targeting MEF2C.
FASEB J
January 2025
National Key Laboratory of Space Medicine, China Astronaut Research and Training Center, Beijing, China.
Microgravity-induced cardiac remodeling and dysfunction present significant challenges to long-term spaceflight, highlighting the urgent need to elucidate the underlying molecular mechanisms and develop precise countermeasures. Previous studies have outlined the important role of miRNAs in cardiovascular disease progression, with miR-199a-3p playing a crucial role in myocardial injury repair and the maintenance of cardiac function. However, the specific role and expression pattern of miR-199a-3p in microgravity-induced cardiac remodeling remain unclear.
View Article and Find Full Text PDFDeciphering and Enhancing Rate-Determining Step of Sodium Deposition towards Ultralow-Temperature Sodium Metal Batteries.
Angew Chem Int Ed Engl
January 2025
National University of Singapore, Chemistry, 3 Science Drive 3, 117543, Singapore, SINGAPORE.
Achieving high ionic conductivity and stable performance at low temperatures remains a significant challenge in sodium-metal batteries (SMBs). In this study, we propose a novel electrolyte design strategy that elucidates the solvation structure-function relationship within mixed solvent systems. A mixture of diglyme and 1,3-dioxolane was developed to optimize the solvation structure towards superior low-temperature electrolyte.
View Article and Find Full Text PDFAn accessible workflow for high-sensitivity proteomics using parallel accumulation-serial fragmentation (PASEF).
Nat Protoc
January 2025
Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Deep and accurate proteome analysis is crucial for understanding cellular processes and disease mechanisms; however, it is challenging to implement in routine settings. In this protocol, we combine a robust chromatographic platform with a high-performance mass spectrometric setup to enable routine yet in-depth proteome coverage for a broad community. This entails tip-based sample preparation and pre-formed gradients (Evosep One) combined with a trapped ion mobility time-of-flight mass spectrometer (timsTOF, Bruker).
View Article and Find Full Text PDFDual intent view contrastive learning for knowledge aware recommender systems.
Sci Rep
January 2025
School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, Guangdong, China.
Knowledge-aware recommendation systems often face challenges owing to sparse supervision signals and redundant entity relations, which can diminish the advantages of utilizing knowledge graphs for enhancing recommendation performance. To tackle these challenges, we propose a novel recommendation model named Dual-Intent-View Contrastive Learning network (DIVCL), inspired by recent advancements in contrastive and intent learning. DIVCL employs a dual-view representation learning approach using Graph Neural Networks (GNNs), consisting of two distinct views: a local view based on the user-item interaction graph and a global view based on the user-item-entity knowledge graph.
View Article and Find Full Text PDFMultidimensional free shape-morphing flexible neuromorphic devices with regulation at arbitrary points.
Nat Commun
January 2025
Institute of Optoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, China.
Biological neural systems seamlessly integrate perception and action, a feat not efficiently replicated in current physically separated designs of neural-imitating electronics. This segregation hinders coordination and functionality within the neuromorphic system. Here, we present a flexible device tailored for neuromorphic computation and muscle actuation.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!