by Gabrielle M Mey  and Jacob T Mey

Received: 24 August 2022;  Published: 16 November 2022;  doi: 10.21926/rpn.2204022

This narrative review highlights recent advances and ongoing trials using nutrition approaches for healthy aging. Focus will be placed on nutrition therapies that target cognition (“the mind”) and mobility (“the muscle”), both critical components to maintaining a high quality of life for older adults. For “the mind,” two seemingly incongruent therapies are being investigated to improve cognition–the MIND diet (high in carbohydrates and anti-oxidant fruits and vegetables) and the ketogenic diet (low in carbohydrates [...]

by Ganisetti Vijay Kumar  , Min-Ze Lu  and Chang-Ming Liaw

Received: 19 December 2020;  Published: 31 May 2021;  doi: 10.21926/jept.2102023

This paper presents the development of a high-performance electric vehicle (EV) synchronous reluctance motor (SynRM) drive and its vehicle-to-grid (V2G) and vehicle-to-microgrid (V2M) bidirectional operations. The EV motor drive boostable DC-link voltage is established by a battery through a bilateral interface boost-buck DC-DC converter for good driving performance over a wide speed range. The motor efficiency is 92.3% near the rated load. In idle conditions, the embedded interface converter and inverter of the mo [...]

by Monday Uchenna Obaji  , Angus Nnamdi Oli  and Malachy C Ugwu

Received: 12 December 2024;  Published: 23 April 2025;  doi: 10.21926/obm.genet.2502293

Cytokines are pivotal regulators of immune responses. They are critical in mediating inflammation, recruiting immune cells, and driving pathogen clearance. Among these, interleukin-6 (IL-6), interleukin-8 (IL-8), and tumor necrosis factor-alpha (TNF-α) stand out as key players in pediatric immunity, as they exhibit unique expression patterns that reflect the dynamic nature of the developing immune system. This review explores the dual roles of these cytokines in orchestrating immune defense and their potential as d [...]

by Masoume M. Raeissi  and Rob Knapen

Received: 07 April 2025;  Published: 12 August 2025;  doi: 10.21926/aeer.2503028

Environmental science addresses critical global challenges, including climate change, biodiversity loss, and sustainability. These complex topics generate a vast amount of both structured and unstructured data, from remote sensing output to policy documents, guidelines, and scientific literature. Effectively processing and utilizing this information is essential for advancing research and supporting decision-making. Large Language Models (LLMs) have shown remarkable capabilities in natural language understanding an [...]

by Miguel Mayo-Yáñez  and Irma Cabo-Varela

Received: 29 June 2020;  Published: 08 September 2020;  doi: 10.21926/obm.neurobiol.2003072

Alzheimer’s disease is the most common type of dementia in the world. This manuscript attempts to review the current knowledge of neurolaryngology and speech and language therapy in Alzheimer’s disease in order to distinguish it from other neurodegenerative diseases. Only a limited number of studies carried out on Alzheimer’s disease patients with speech or laryngeal disorders are found in the literature. Laryngeal (dysphonia, dysphagia, dry mucosa…) and speech symptoms (aphasic, rhythm alterations…) appear to exis [...]

by Pei-Yu Wu  , Kristina Mjörnell  , Claes Sandels  and Mikael Mangold

Received: 22 January 2021;  Published: 11 May 2021;  doi: 10.21926/rpm.2102017

Assessment of the presence of hazardous materials in buildings is essential for improving material recyclability, increasing working safety, and lowering the risk of unforeseen cost and delay in demolition. In light of these aspects, machine learning has been viewed as a promising approach to complement environmental investigations and quantify the risk of finding hazardous materials in buildings. In view of the increasing number of related studies, this article aims to review the research status of hazardous mater [...]

by Georgianne L. Arnold

Received: 14 June 2023;  Published: 18 October 2023;  doi: 10.21926/obm.genet.2304197

Newborn screening can now detect more than 50 disorders, providing early and often life-saving treatment. Inborn errors of metabolism account for the majority of these disorders. This review will consider the more common metabolic disorders identified on newborn screening, including history, technique and management of these disorders.

by Lina Nguyen  , Gabrielle Romena  , Ethan Nguyen  , Cassandra Tran  , Kaitlyn Nguyen  , Ananya Devarajan  and Henry Hirschberg

Received: 15 December 2020;  Published: 23 March 2021;  doi: 10.21926/obm.neurobiol.2101090

Following post-operative treatment, the vast majority of GBMs recur, usually within 2 cm of the tumor resection margin. Since these tumors seldom metastasize outside the CNS, improved localized therapies should prove beneficial. Drug delivery systems (DDS) that allow control over drug release by an externally applied energy, such as light, have the potential of improving the results of chemotherapy. Light-activated hydrogel DDS, implanted in the operative cavity formed by tumor resection, bypasses the blood brain b [...]

by Haruka Sawamura  , Kurumi Taniguchi  , Yuka Ikeda  , Ai Tsuji  , Yasuko Kitagishi  and Satoru Matsuda

Received: 16 November 2021;  Published: 08 March 2022;  doi: 10.21926/rpn.2201007

Immune checkpoints have been aggressively investigated for anti-cancer immunotherapy. The power of microbiota on the outcome of this immunotherapy has attracted much attention. For example, intestinal microorganisms play a key role in the effectiveness of programmed cell death 1 (PD1) and cytotoxic T lymphocyte-associated antigen 4 (CTLA4) blockade. Additionally, short-chain fatty acids produced in the gut may modulate anti-CTLA4 and anti-PD1 stimulated immune responses and their anti-tumor efficacy. Enhancing the [...]

by Angelo Morro

Received: 19 February 2021;  Published: 13 April 2021;  doi: 10.21926/rpm.2102011

The objective of the paper is twofold: first, to review the classical diffusion models and show the approximations at the origin of the parabolic character of the classical equations; second, to demonstrate a connection between the quantum and classical models of diffusion. As diffusion is inherently related to the motion of constituents, the consistent models are framed within the dynamics of mixtures. The derivation of diffusion equations is then determined based on the related, pertinent approximations.