Inconsistent, incomplete reporting of computer applications in nursing is a barrier to building a knowledge base in the field. Progress in building this knowledge base might be accelerated if system developers could use the available literature to build upon work previously done and to profit from lessons already learned. This article presents guidelines for developing articles and reports on computer applications in nursing. Important topics include statement of the problem, proposed solution, description of the system, system impact, relationship to previous work, problems encountered, lessons learned, professional issues, transferability, and future plans. A checklist is provided. The authors welcome comments on these guidelines.
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J Mol Model
January 2025
Escuela Superior de Física y Matemáticas, IPN S/N, Edificio 9 de la Unidad Profesional "Adolfo López Mateos", Col. Lindavista, Alc. Gustavo A. Madero, 07738, Mexico City, Mexico.
Context: "Nanostructure of graphene-reinforced with polymethyl methacrylate" (PMMA-G), and vice versa, is investigated using its molecular structure, in the present work. The PMMA-G nanostructure was constructed by bonding PMMA with graphene nanosheet in a sense to get three different configurations. Each configuration consisted of polymeric structures with three degrees of polymerization (such as monomers, dimers, and trimers polymers, respectively).
View Article and Find Full Text PDFPlant Foods Hum Nutr
January 2025
College of Biology and Food Engineering, Chongqing Three Gorges University, Chongqing, 404100, China.
Insulin resistance was considered to be the most important clinical phenotype of type 2 diabetes (T2DM). Almond is a widely-consumed nut and long-term intake was beneficial to alleviating insulin resistance in patients with T2DM. Hence, screening of anti-diabetic peptides from almond proteins was feasible based on the effectiveness of peptides in the treatment of T2DM.
View Article and Find Full Text PDFJ Phys Chem Lett
January 2025
Department of Chemistry, Virginia Commonwealth University, Richmond, Virginia 23284, United States.
Ethylene glycol dinitrate (EGDN) is a nitrate ester explosive widely used in military ordnance and missile systems. This study investigates the decomposition dynamics of the EGDN cation using a comprehensive approach that combines femtosecond time-resolved mass spectrometry (FTRMS) experiments with electronic structure and molecular dynamics computations. We identify three distinct dissociation time scales for the metastable EGDN cation of approximately 40-60 fs, 340-450 fs, and >2 ps.
View Article and Find Full Text PDFJ Chem Theory Comput
January 2025
Preferred Networks, Inc., Tokyo 100-0004, Japan.
Mapping the chemical reaction pathways and their corresponding activation barriers is a significant challenge in molecular simulation. Given the inherent complexities of 3D atomic geometries, even generating an initial guess of these paths can be difficult for humans. This paper presents an innovative approach that utilizes neural networks to generate initial guesses for reaction pathways based on the initial state and learning from a database of low-energy transition paths.
View Article and Find Full Text PDFOrthop Surg
January 2025
Spine Surgery Center, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Classification systems for Adolescent Idiopathic Scoliosis (AIS) play an important role in guiding both surgical planning and conservative treatments. Traditional 2D classification systems, such as the Lenke, King and Lehnert-Schroth classifications, have been widely used for the clinical diagnosis and treatment of scoliosis. However, with the growing understanding of the three-dimensional nature of scoliosis and advancements in 3D reconstruction technologies, 3D classification systems are gaining increasing attention.
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