Results 301 to 310 of about 974,275 (372)

Conditional Survival for Pancreas Graft and Its Associated Factors After Pancreas Transplantation

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study investigates conditional survival (CS) for pancreas grafts in recipients of pancreas transplantation (PTx) in Japan, using data from 526 cases. Findings reveal that CS increases over time post‐transplant, offering a more optimistic long‐term prognosis than traditional actuarial survival. While donor sex and PTx procedure type influence early
Yoshito Tomimaru   +5 more
wiley   +1 more source

Accidental diode laser-induced full-thickness macular hole: a case report. [PDF]

open access: yesBMC Ophthalmol
Nezhad NZ   +4 more
europepmc   +1 more source

Cross‐Linked Protein Crystals With an Intense Nonconventional Full‐Color Photoluminescence Originating From Through‐Space Intermolecular Interaction

open access: yesAggregate, EarlyView.
Cross‐linked protein crystals are introduced as a novel class of nontraditional luminescent materials (NLMs) exhibiting tunable full‐color photoluminescence. Three polymorphic lysozyme crystals establish a clear, definitive structure–emission relationship, revealing that emission originates from intermolecular through‐space interactions (TSI).
Renbin Zhou   +7 more
wiley   +1 more source

Hybrid rule‐based and optimization‐driven framework for the synthesis of end‐to‐end optimal pharmaceutical processes

open access: yesAIChE Journal, EarlyView.
Abstract The modernization of pharmaceutical manufacturing is driving a shift from traditional batch processing to continuous alternatives. Synthesizing end‐to‐end optimal (E2EO) manufacturing routes is crucial for the pharmaceutical industry, especially when considering multiple operating modes—such as batch, continuous, or hybrid (containing both ...
Yash Barhate   +4 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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