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Reconstructing Waddington Landscape from Cell Migration and Proliferation.
Interdiscip Sci
January 2025
School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China.
The Waddington landscape was initially proposed to depict cell differentiation, and has been extended to explain phenomena such as reprogramming. The landscape serves as a concrete representation of cellular differentiation potential, yet the precise representation of this potential remains an unsolved problem, posing significant challenges to reconstructing the Waddington landscape. The characterization of cellular differentiation potential relies on transcriptomic signatures of known markers typically.
View Article and Find Full Text PDF'Stuck or unstable': partnerships between GPs and patients with complex chronic conditions. A qualitative study.
BJGP Open
January 2025
The Research Unit for General Practice & Section for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Background: In chronic care, patient-GP collaboration is essential, but might be challenging if patients have complex health problems due to multimorbidity, psychosocial predicaments and addiction problems. To understand and manage these challenges, it is important to explore how patients' and GPs' attempt to collaborate, to maintain and achieve an alliance in order to gain good quality of care.
Aim: To explore how dyads of GPs and patients that GPs deem have complex health problems and difficulties following treatment perceive and manage challenges in their chronic care partnership.
Wetting Phenomena: Line Tension and Gravitational Effect.
Phys Rev Lett
December 2024
Institute for Applied Materials - Microstructure Modelling and Simulation (IAM-MMS), Karlsruhe Institute of Technology (KIT), Strasse am Forum 7, 76131 Karlsruhe, Germany; Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany; and Institute of Digital Materials Science, Karlsruhe University of Applied Sciences, Moltkestrasse 30, 76133 Karlsruhe, Germany.
An apparent contact angle is formed when a droplet is deposited on a solid substrate. Young's law has been employed to describe the equilibrium contact angle. Often in experiments, the equilibrium contact angle deviates from Young's law and depends on the volume of the droplet, known as the line tension effect.
View Article and Find Full Text PDFDecomposition based neural dynamics for portfolio management with tradeoffs of risks and profits under transaction costs.
Neural Netw
December 2024
Faculty of Information Technology and Electrical Engineering, University of Oulu, Finland.
Real-time online optimisation plays a crucial role in high-frequency trading (HFT) strategies. The Markowitz model, as a Nobel Prize-winning framework, is widely used for portfolio management optimisation by framing the problem as a constrained quadratic programming task. While conventional analytical methods are typically effective for solving quadratic programming problems with linear constraints, the introduction of both linear equality and inequality constraints in the Markowitz model necessitates the use of numerical methods.
View Article and Find Full Text PDFQuantifying the regulatory potential of genetic variants via a hybrid sequence-oriented model with SVEN.
Nat Commun
December 2024
State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Biomedical Pioneering Innovative Center (BIOPIC) and Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), Peking University, 100871, Beijing, China.
Deciphering how noncoding DNA determines gene expression is critical for decoding the functional genome. Understanding the transcription effects of noncoding genetic variants are still major unsolved problems, which is critical for downstream applications in human genetics and precision medicine. Here, we integrate regulatory-specific neural networks and tissue-specific gradient-boosting trees to build SVEN: a hybrid sequence-oriented architecture that can accurately predict tissue-specific gene expression level and quantify the tissue-specific transcriptomic impacts of structural variants across more than 350 tissues and cell lines.
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