The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
Verification of the value of optimization of the medication-related clinical decision support system in China, a hospital-based study. [PDF]
Ran S +8 more
europepmc +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
Reverse Mutation for Optimization Learning Artificial Lemming Algorithm and Its Application in Engineering. [PDF]
Tang M, Zheng Y, Li L, Cao L, Cheng Z.
europepmc +1 more source
Drugs previously repurposed to target blood cancers reduced neuroblastoma and glioblastoma cell growth and viability. However, their levels of anticancer activity were different and their clinical application may be problematic due to side effects at effective doses.
Abhishek Kharawatkar +4 more
wiley +1 more source
A DISTRIBUTED SIMULATED ANNEALING FRAMEWORK FOR ENGINEERING OPTIMIZATION
Engineering optimization problems are known to be difficult to solve using mathematical programming techniques because of large search spaces, complex objective and constraint functions, and, in many cases, their combinatorial nature. Simulated annealing
Sivakumar Pabolu V +2 more
core
Nevermore: Target-Conditioned Protein-Ligand Representation Learning for Multi-Objective Lead Optimization with Database-Grounded Retrieval. [PDF]
Refahi MS +6 more
europepmc +1 more source
Versatile vector tools for efficient protein screening across multiple expression systems
A unified vector toolkit enables rapid protein expression screening across E. coli, insect, and mammalian cells. A single primer pair amplifies the target gene, which is inserted into any vector via a standardized interface. This streamlined workflow eliminates repeated cloning steps, accelerating the identification of optimal expression conditions for
Zhimin Zhu +5 more
wiley +1 more source
Strong Equivalence of Qualitative Optimization Problems
We introduce the framework of qualitative optimization problems (or, simply, optimization problems) to represent preference theories. The formalism uses separate modules to describe the space of outcomes to be compared (the generator) and the preferences
Stefan Woltran +5 more
core
AI-enhanced inverse design of photonic crystal fiber optical modulator using deep reinforcement learning technique. [PDF]
Dawood NYM +5 more
europepmc +1 more source

