Results 211 to 220 of about 1,622,308 (337)
Caring-Healing Modalities for Emotional Distress and Resilience in Persons with Cancer: A Scoping Review. [PDF]
Kociolek J, Gengo R, Chiang-Hanisko L.
europepmc +1 more source
This study examines how manufacturing uncertainties in Curie temperatures (1.5–2°C) affect multilayer active magnetic regenerators (AMR). While increasing the number of magnetocaloric layers boosts cooling power, performance degrades due to temperature variations.
Urban Tomc +6 more
wiley +1 more source
Driving the Consumer Adoption of Halal Cosmetics: A Systematic Review Using PRISMA and TCCM Framework. [PDF]
Raza MW, Uddin F, Rahman O, Hossain MB.
europepmc +1 more source
Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai +8 more
wiley +1 more source
Big-Data Analysis of Geometric Descriptors as Efficient Predictors of Energetic Stability in Nonplanar Polycyclic Aromatic Hydrocarbons. [PDF]
Gregory KP, Karton A.
europepmc +1 more source
Which Chromium–Sulfur Compounds Exist as 2D Material?
2D chromium sulfides synthesized using molecular beam epitaxy on graphene. Structural characterization reveals two novel 2D materials, Cr2S3‐2D, which lacks a direct bulk counterpart, and Cr223S${\rm Cr}_{2\frac{2}{3}}{\rm S}$4‐2D, a minimum thickness version of Cr5S6. However, attempts to synthesize CrS2 are unsuccessful. Both new 2D phases are stable
Affan Safeer +5 more
wiley +1 more source
Various acupuncture therapies for managing nonspecific low back pain: a network Meta-analysis. [PDF]
Jixing G +9 more
europepmc +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer +10 more
wiley +1 more source

