Results 41 to 50 of about 21,362 (265)
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Spatial biology in cancer epigenetics
Molecular Oncology, EarlyView.Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley +1 more source
Robust Integrated Optimization for Green Closed Loop Supply Chain [PDF]
چشمانداز مدیریت صنعتی, 2019 With increasing environmental pollution in recent years, researchers have focused on designing a closed loop supply chain network with consideration of environmental issues.
Saba Manouchehri +2 more
doaj +1 more source
Design optimization of multi energy systems for domestic hot water uses on the building sector
Green Energy and Sustainability, 2021 The burden that has come upon the environment, combined with the ever-declining fossil fuel reserves, has led to the need of reducing the conventional energy consumption in building sector and to the promotion of systems based on Renewable Energy Sources
Vasileios Kilis +2 more
doaj +1 more source
FEBS Open Bio, EarlyView.Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani +6 more
wiley +1 more source
Fuzzy Goal Programming Approach in Vehicle Routing Problem
Journal of Transportation and Logistics, 2017 The goal programming is commonly used programming techniques in multi-objective decision making approaches. It is not possible to exactly determine the goals and constraints in real life problems.
Selen Çelikkanat filiz, Ergün Eroğlu
doaj +1 more source
Fuzzy Programming for Multi-choice Bilevel Transportation Problem [PDF]
Operations Research and Decisions, 2021 Multi-choice programming problems arise due to the diverse needs of people. In this paper, multi-choice optimization has been applied to the bileve transportation problem. This problem deals with transportation at both the levels, uppe r as well as lower.
Ritu Arora, Kavita Gupta
doaj
Intelligent Tutoring Systems for Adult Learning in STEM Disciplines
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley +1 more source