by Phil Ayers  , Megan Harlow  and LeAnn Scott

Received: 30 December 2021;  Published: 15 February 2022;  doi: 10.21926/rpn.2201002

Parenteral nutrition (PN) is a complex medication administered to adult, pediatric, and neonatal patients. PN is recognized as a high-alert medication by the Institute for Safe Medication Practices (ISMP). The American Society for Parenteral and Enteral Nutrition (ASPEN) has published several key recommendations regarding safe use of PN. This manuscript will review several of the important PN papers published in 2020-2021 by ASPEN.

by Alicia Stapp  , Madalyn Falkenheiner  and Kenya Wolff

Received: 15 November 2021;  Published: 13 January 2022;  doi: 10.21926/rpn.2201001

It is recommended that children ages 3-5 receive 180 minutes of physical activity a day, with at least 60 minutes of moderate-to-vigorous physical activity. Despite these recommendations, a majority of preschoolers are not provided opportunities in the early childhood education setting to meet these daily recommendations through either structured or unstructured physical activity. Accordingly, the number of young children identified as overweight or obese over the past couple of decades has increased. Critical to a [...]

by Madalina Neacsu  , Susan E. Anderson  , Pola Verschoor  , Nicholas J. Vaughan  , Graham W. Horgan  , Toine Hulshof  , Sylvia H. Duncan  , Susan Duthie  and Wendy R. Russell

Received: 08 October 2021;  Published: 17 December 2021;  doi: 10.21926/rpn.2104002

Wheat bran cereals are an important source of dietary fibre. The aim of the study was to investigate if a high intake (120 g) of fibre rich breakfast cereal (which delivers the UK Government guidelines for fibre intake in one serving but is three-fold higher than the manufacturers recommended serving) has additional potential health benefits compared to the recommended serving (40 g, containing 11 g of dietary fibre). To assess this, the study determined the short chain fatty acid (SCFA) profiles in human faecal, u [...]

by Alex T. Von Schulze  , Marie van der Merwe  , Chad D. Touchberry  and Richard J. Bloomer

Received: 03 August 2021;  Published: 15 October 2021;  doi: 10.21926/rpn.2104001

Poor dietary habits can lead to obesity and insulin resistance—both of which can impair basal heat shock protein (HSP) expression and the HSP stress response in skeletal muscle. It remains unclear if impairments in HSP expression occur during the early stages of diet-induced obesity and metabolic dysfunction. We determined if basal HSP expression (HSP70, HSP60, HSP25) was impaired in sedentary or exercised rats following the onset of diet-induced obesity. Male Long-Evans rats (N=6-7/group) were assigned to a [...]

by Shahriar Abubakri  , Gilson R. Lomboy  and Douglas B. Cleary

Received: 10 February 2026;  Published: 15 June 2026;  doi: 10.21926/rpm.2602004

The use of recycled concrete aggregate (RCA) offers a sustainable alternative to traditional virgin aggregates in concrete production, helping mitigate the environmental impacts associated with mining and construction waste disposal. RCA is characterized by the presence of attached mortar from previous concrete applications, which significantly influences the mechanical properties of the aggregates, as well as mix design and the overall performance of new concrete incorporating these recycled materials. This paper [...]

by Ali A. Al-Allaq  , Abdullah A. Abdulhakeem  , Jwan Kh. Hammood  and Hassan Fouad

Received: 03 December 2025;  Published: 07 April 2026;  doi: 10.21926/rpm.2602003

The cartilage is avascular and has limited regenerative capacity, posing a significant clinical challenge. Conventional treatments often do not restore hyaline cartilage, leading to progressive osteoarthritis. Recent advances in tissue engineering have focused on integrating biomaterials, stem cells, growth factors, and gene-delivery approaches. In addition, in vivo models serve as critical platforms for translational validation. Biomaterial scaffolds, including polycaprolactone, silk fibroin, chitosan, and composi [...]

by Liubomyr Kozak

Received: 21 December 2025;  Published: 18 March 2026;  doi: 10.21926/rpm.2601002

The article presents a model that describes the shear of atomic planes in crystalline solids by accounting for their electronic structure. Previous studies have shown that an isotropic distribution of valence electrons leads to a spherically symmetric interatomic potential, which affects the stability of the crystal lattice against small shear deformations. Under these conditions, lattice stability is largely determined by the crystal's surface layer. As a consequence, the resistance to atomic-plane shear exhibits [...]

by Recent Progress in Materials Editorial Office

Received: 04 January 2026;  Published: 04 January 2026;  doi: 10.21926/rpm.2601001

The editors of Recent Progress in Materials would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2025. We greatly appreciate the contribution of expert reviewers, which is crucial to the journal's editorial process. We aim to recognize reviewer contributions through several mechanisms, of which the annual publication of reviewer names is one. Reviewers can download a certificate of recognition directly from our submission system. Additionally, reviewers can sign up t [...]

by Jude Alhaddad  , Hawra Alkhadad  , Fatima AlHannan  , Fryad Henari  and G. Roshan Deen

Received: 16 June 2025;  Published: 17 November 2025;  doi: 10.21926/rpm.2504017

The study focuses on the rapid green synthesis of silver nanoparticles (AgNPs) and alginate-silver nanocomposite (Alg-AgNc) beads using sweet basil or Mashmoom (Ocimum basilicum), a common household medicinal herb in Bahrain. The aqueous extract of mashmoom was used as a reducing and stabilizing agent in the reduction of the precursor salt, silver nitrate, and formation of stable AgNPs. The Alg-AgNc beads were prepared by ionotropic gelation of sodium alginate-AgNPs solution in calcium chloride. A strong surface pl [...]

by Junesh Gautam  , Praneel Acharya  and Zhong Hu

Received: 15 July 2025;  Published: 24 October 2025;  doi: 10.21926/rpm.2504016

This paper investigates data-driven strain energy prediction for heterogeneous elastic materials using the Mechanical MNIST benchmark dataset (60,000 28 × 28 stiffness maps by precomputed finite-element results). The results by classical regression models (linear regression, random forest, and gradient boosting) using hand-crafted features were compared with the results by the deep learning models (Convolutional neural network (CNN) and residual network (ResNet)) trained end-to-end on images. In held-out tests, CNN [...]