by In Lam  , Irina Gutman  , Ashley Feist  and Mark Mariski

Received: 10 March 2017;  Published: 22 June 2017;  doi: 10.21926/obm.transplant.1701003

After lung transplant, infection is a leading contributor to morbidity and mortality, and hypogammaglobulinemia (HGG) may be an important risk factor for many of these infections. Some reports suggest that HGG not only increases the risk of various infections, but also worsens survival. The incidence of HGG has been shown to increase after lung transplant, and may be as high as 70%. In order to mitigate this risk, intravenous immunoglobulin G (IVIG) replacement for the treatment of HGG has been utilized. However, t [...]

by Gerald P. Morris

Received: 22 February 2019;  Published: 11 April 2017;  doi: 10.21926/obm.transplant.1701002

(1) Background: Lung transplantation is an increasingly utilized treatment for end-stage lung disease. Scarcity of organ donors limiting transplantation underscores the importance of optimal histocompatibility testing approaches to facilitate organ allocation and avoid immunologic rejection. Significant data has emerged over the past decade to define the role of alloantibodies against HLA in the pathogenesis of post-lung transplant complications. (2) Methods: Medical literature from 1996–2016 related to search term [...]

by Pål Dag Line

Received: 07 April 2017;  Published: 11 April 2017;  doi: 10.21926/obm.transplant.1701001

by Kevin Curran  , Jack Kyle  and Lovepreet Singh

Received: 04 April 2026;  Published: 19 August 2026;  doi: 10.21926/rpse.2603017

The Internet of Things (IoT) is transforming industries and daily life by connecting billions of devices, enabling smart homes, cities and industrial systems. This rapid expansion, however, introduces significant cybersecurity vulnerabilities, leaving IoT systems increasingly exposed to both established and emerging attack techniques. This paper presents a structured critical review of IoT cybersecurity, distinguished from prior general surveys by three contributions: first, a cross-layer mapping of named, dated ca [...]

by Emmanuel Ugochukwu Anaso

Received: 16 February 2026;  Published: 30 July 2026;  doi: 10.21926/rpse.2603016

Sheep production systems in sub-Saharan Africa are largely constrained by seasonal fluctuations in feed availability and persistent shortages in both the quantity and quality of forages throughout the year. These limitations adversely affect growth performance and reproductive efficiency in sheep. In addition, the escalating cost of conventional feed ingredients used in ration formulation has intensified the search for alternative, affordable, and locally available feed resources that do not compete directly with h [...]

by Moa’ath Sa’ad Al-A’athal  and Qasem Abu Al-Haija

Received: 28 March 2026;  Published: 20 July 2026;  doi: 10.21926/rpse.2603015

The increasing scale, speed, and sophistication of cyberattacks have rendered traditional rule-based intrusion detection systems (IDS) insufficient for modern network environments. While machine learning (ML)-based IDSs have significantly improved detection capabilities, their black-box nature limits trust, interpretability, and practical deployment in real-world security operations. To address this challenge, this paper proposes an explainable machine learning framework for network intrusion detection using the CI [...]

by Ankit Kumar Singh  , Aastha Singh  , Avanish Kant Agnihotri  , Amit Trivedi  and Mohd Nadeem

Received: 12 March 2026;  Published: 01 July 2026;  doi: 10.21926/rpse.2603014

The advent of cloud computing, the Internet of Things (IoT), and digital services has led to an increase in the number and complexity of cyberattacks. The intrusion detection methods currently used, based on machine learning and artificial intelligence, include SVM, random forest, deep learning, convolutional neural networks, and LSTM. These methods are more advanced than the signature method since they are more efficient. However, despite these advancements, several issues with intrusion detection systems remain. [...]

by Kadir Aydın  and Çağrı Ün

Received: 11 May 2026;  Published: 01 July 2026;  doi: 10.21926/rpse.2603013

Thermal runaway in lithium-ion batteries (LIBs) is an escalating fire-safety problem in electric vehicles and battery energy-storage systems (BESS), and conventional water-based suppression has repeatedly been shown to delay propagation without preventing pack destruction or re-ignition. Solid, electrically non-conductive cooling agents are a promising but under-characterized alternative. This study addresses the absence of comparative, in-pack data on boron-based salt-hydrate cooling powders. Eight propane-burner [...]

by Matthew A. Adebayo  , O’Seun Odewale  and Olabisi A. Ajayi

Received: 03 April 2026;  Published: 29 June 2026;  doi: 10.21926/rpse.2602012

Mild steel has tendency to form a protective film in caustic environments; however, elevated temperatures and freshly exposed metal surfaces usually prevent stable film formation—leading to rapid and active corrosion rate of mild steel. This study reports the potential of using ethanol extract of African peach leaf as alternative corrosion inhibitor of mild steel in 1.0 M NaOH solution. Gravimetric and electrochemical measurements were carried to unravel the mechanisms of the corrosion reduction by the inhibitor wh [...]

by Damir Istamov  and Asliddin Komilov

Received: 04 March 2026;  Published: 16 June 2026;  doi: 10.21926/rpse.2602011

Copper indium gallium selenide (CIGS) thin-film solar cells remain among the most promising photovoltaic technologies due to their high absorption coefficient, tunable bandgap, and compatibility with low-temperature processing. This manuscript presents a comprehensive numerical investigation of performance enhancement strategies for CIGS-based solar cells using one-dimensional and multidimensional simulation frameworks. Device optimization is analyzed by systematically varying absorber composition, bandgap grading, [...]