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Use of Augmented Reality for Training Assistance in Laparoscopic Surgery: Scoping Literature Review.
J Med Internet Res
January 2025
I3A, LoUISE Research Group, University of Castilla-La Mancha, Albacete, Spain.
Background: Laparoscopic surgery training is a demanding process requiring technical and nontechnical skills. Surgical training has evolved from traditional approaches to the use of immersive digital technologies such as virtual, augmented, and mixed reality. These technologies are now integral to laparoscopic surgery training.
View Article and Find Full Text PDFComparative assessment of exposure tools to estimate pesticide concentrations in rice paddies: a discussion of the Brazilian context.
Integr Environ Assess Manag
January 2025
Syngenta Proteção de Cultivos Ltda, São Paulo, São Paulo, Brazil.
Estimating pesticide concentrations in paddy rice systems is challenging due to unique cultivation methods and water management practices. Various models, ranging from simple exposure calculators to complex scenario-dependent tools, have been developed globally to address this issue (PADDY, MED-Rice, RICEWQ, PFAM). In Brazil, pesticides are used in paddy rice production, and there is a potential risk of these compounds reaching waterbodies.
View Article and Find Full Text PDFSeparation effectiveness of ideal ion exchange membranes: Application of the Gibbs-Donnan theory.
PLoS One
January 2025
Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland.
Ion exchange membranes (IEMs) are permselective membranes that, in principle, only allow the flow of ions with a specific charge sign, opposite to that of the fixed membrane ionic groups (counter-ions). This charge-based selectivity, like the size-based selectivity of classic semipermeable membranes, leads to an uneven distribution of permeating ions on the two sides of the membrane, which allows for ion separation or recovery in various processes in industry or environmental protection. Here, we apply the principles of mass balance, charge neutrality, and equality of electrochemical potentials in the state of thermodynamic equilibrium to provide a simple method for estimating the Gibbs-Donnan factors and the equilibrium concentrations of permeating ions in two compartments separated by an ideal IEM, i.
View Article and Find Full Text PDFImproving Bond Dissociations of Reactive Machine Learning Potentials through Physics-Constrained Data Augmentation.
J Chem Inf Model
January 2025
Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
In the field of computational chemistry, predicting bond dissociation energies (BDEs) presents well-known challenges, particularly due to the multireference character of reactive systems. Many chemical reactions involve configurations where single-reference methods fall short, as the electronic structure can significantly change during bond breaking. As generating training data for partially broken bonds is a challenging task, even state-of-the-art reactive machine learning interatomic potentials (MLIPs) often fail to predict reliable BDEs and smooth dissociation curves.
View Article and Find Full Text PDFThe Combination of Intravenous Immunoglobulin, Dexamethasone, and a High Dose of Mononuclear Cells Transfusion: An Effective Strategy for Decreasing Donor-Specific Antibodies During Haploidentical Hematopoietic Stem Cell Transplantation.
Cell Transplant
January 2025
Department of Hematology, 920th Hospital of Joint Logistics Support Force, Kunming, China.
Donor-specific antibodies (DSAs) are essential causes of graft rejection in haploidentical hematopoietic stem cell transplantation (haplo-HSCT). DSAs are unavoidable for some patients who have no alternative donor. Effective interventions to reduce DSAs are still needed, and the cost of the current therapies is relatively high.
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