Multistability bifurcation analysis and transmission pathways for the dynamics of the infectious disease-cholera model with microbial expansion inducing the Allee effect in terms of Guassian noise and crossover effects. [PDF]
Raza MA+4 more
europepmc +1 more source
Tuning Aggregation in Liquid‐Crystalline Squaraine Chromophores
A novel squaraine dye (SQ) forming columnar liquid crystal (LC) phase is synthesized, whose aggregate state can be tuned without disturbing the columnar structures. The liquid crystallization not only offers a rich spectrum and tuning method of optical property but also a novel path for the prescriptive functionalization of LC SQ materials.
Tianyi Tan+12 more
wiley +1 more source
Traveling wave solutions of a hybrid KdV-Burgers equation with arbitrary real coefficients in relation with beam-permeated multi-ion plasma fluids. [PDF]
Singh K, Varghese SS, Kourakis I.
europepmc +1 more source
This review explores the potential of electroactive electrospun nanofibrous (EEN) scaffolds for enhanced skin wound healing. It discusses how a variety of electroactive materials can be prepared into EEN scaffolds via electrospinning technology, and their applications in various wound types. The review provides insights into the future perspectives for
Yang Zhang+10 more
wiley +1 more source
Three Perspectives on Diagrams as Signs Contributing to Learning Mathematics
Jeong-Won Noh, Kyeong-Hwa Lee
openalex +2 more sources
Cognitive, affective and sociological predictors of school performance in mathematics. [PDF]
Svraka B, Lasker J, Ujma PP.
europepmc +1 more source
Unveiling Multi‐Scale Architectural Features in Single‐Cell Hi‐C Data Using scCAFE
scCAFE is a deep learning framework designed to identify multi‐scale 3D genome architectural features from single‐cell Hi‐C data without dense imputation. It predicts chromatin loops, TAD‐like domains, and A/B compartments, enabling efficient characterization of organization at the single‐cell level. scCAFE also identifies marker loop anchors, offering
Fuzhou Wang+12 more
wiley +1 more source
Twin neural network regression
We propose to reformulate a regression problem into predicting differences between target values. This allows for leveraging consistency conditions which can be used as uncertainty estimates and enable the production of an ensemble of predictions while training only a single neural network.
Sebastian Johann Wetzel+3 more
wiley +1 more source
The Perspectives of Primary Mathematics Teacher Candidates about Equal Sign: The EEG Case [PDF]
Ülkü Ayvaz+4 more
openalex +1 more source
Defending scientific integrity through collaboration: the European Medicines Agency and <i>The Lancet Regional Health - Europe</i>. [PDF]
The Lancet Regional Health-Europe.
europepmc +1 more source