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Inflammasome activation in melanoma progression: the latest update concerning pathological role and therapeutic value.
Arch Dermatol Res
January 2025
Uttaranchal Institute of Pharmaceutical Sciences, Division of research and innovation, Uttaranchal University, Dehradun, Uttarakhand, India.
The progression of melanoma is a complex process influenced by both internal and external cues which encourage the transition of tumour cells, uncontrolled growth, migration, and metastasis. Additionally, inflammation allows tumours to evade the immune system, contributing to cancer development. The inflammasome, a complex of many proteins, is crucial in enhancing immune responses to external and internal triggers.
View Article and Find Full Text PDFTheoretical and machine learning models for reaction-barrier predictions: acrylate and methacrylate radical reactions.
Phys Chem Chem Phys
January 2025
Quantum Chemistry Division, Yokohama City University, Seto 22-2, Kanazawa-ku, Yokohama 236-0027, Kanagawa, Japan.
We propose density functional theory (DFT)- and random forest (RF)-based theoretical and machine learning (ML) models, respectively, for predicting reaction barriers (Δ) using acrylate and methacrylate radical reactions as representatives. DFT is used to determine 100 transition state (TS) structures of both radicals, after which the obtained data are used to determine theoretical relationships (explained with Bell-Evans-Polanyi or Brønsted-Evans-Polanyi (BEP) and Marcus-like models) between Δ and stabilization energy of the product. Next, we construct several theoretical regression models for predicting Δ of the representative reactions based on our theoretical analyses, presenting an RF-based ML model that eases Δ predictions by circumventing time-consuming DFT calculations.
View Article and Find Full Text PDFGEMLI: Gene Expression Memory-Based Lineage Inference from Single-Cell RNA-Sequencing Datasets.
Methods Mol Biol
January 2025
Ecole Polytechnique Fédérale de Lausanne, School of Life Sciences, Institute of Bioengineering, Lausanne, Switzerland.
Gene expression memory-based lineage inference (GEMLI) is a computational tool allowing to predict cell lineages solely from single-cell RNA-sequencing (scRNA-seq) datasets and is publicly available as an R package on GitHub. GEMLI is based on the occurrence of gene expression memory, i.e.
View Article and Find Full Text PDFThe role of digital inclusive finance in green innovation.
PLoS One
December 2024
Chinese International College, Dhurakij Pundit University, Bangkok, Thailand.
As environmental issues become more acute, green innovation has become a key driver in advancing environmental sustainability and a comprehensive green transition, paving the way towards a future of 'clear waters and blue skies' and enhanced environmental quality. In this vein, financial support is deemed an important facilitator of green innovation. Nonetheless, traditional financial institutions often restrict investment in such projects due to biases surrounding the returns of green projects and difficulties in risk assessment.
View Article and Find Full Text PDFExperience of Telephone-Based Diabetes Health Coaching Among Community-Based Adults With Type 2 Diabetes.
Diabetes Spectr
May 2024
School of Nursing, McMaster University, Hamilton, Ontario, Canada.
Article Synopsis
- - The study investigates the experiences of adults with type 2 diabetes who received telephone-based health coaching to enhance their self-management skills over a year.
- - Four key themes emerged from interviews: adapting to diabetes challenges, increased mindfulness of wellness, participant-guided behavior changes, and the importance of a supportive coach-client relationship.
- - Overall, participants viewed diabetes coaching positively, noting its effectiveness in helping them manage their condition more effectively.
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