Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
Advanced Science, EarlyView.We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
wiley +1 more source
Modeling and optimizing mileage homogeneity in public transportation using Gini index. [PDF]
Sci RepSevim B, Ayvaz B, Eldemir F.
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Advanced Science, EarlyView.TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin +11 more
wiley +1 more source
Recent Progress in Sequence Optimization of mRNA Vaccine: Biological Mechanism, Quantitative Metrics, and Computational Model. [PDF]
Bioinform Biol InsightsWang Y +5 more
europepmc +1 more source
MULTI-OBJECTIVE GOAL PROGRAMMING AND ITS APPLICATIONS: A REVIEW
International Conference on Advancements and Recent Innovations in Mechanical, Production and Industrial Engineering, 2015 openaire +1 more source
Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair
Advanced Science, EarlyView.We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing +10 more
wiley +1 more source
Sustainable closed-loop supply chain network design under uncertainty using a fuzzy multi-objective optimization framework for the battery industry. [PDF]
Sci RepAttari MYN +4 more
europepmc +1 more source
A fuzzy goal programming approach to multi-objective transportation problems
, 2009 Transportation problem is one of the most widely used operations research tools and has been a decision making aid in almost all manufacturing industries and service organizations. This paper focuses on multi-objective transportation problems (MOTPs). To deal with MOTPs, a new approach based on fuzzy goal programming is suggested. In fact, the proposed
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Advanced Science, EarlyView.Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
An integrated TOPSIS and ARAS method multi-criteria decision-making approach for optimizing investment portfolios using goal programming and genetic algorithm model. [PDF]
Sci RepPisal P +6 more
europepmc +1 more source