Explorative studies to understand if aldehyde dehydrogenase (ALDH) expression in colon cancer can be exploited as a target for therapeutic intervention. Expression profiling of ALDH7A1 in colorectal cancer

Petroleum Technology Development Fund (PTDF) NigeriaThe full text will be available at the end of the embargo period: 21st March 202

Evidence for punishment and execution on the foreshore: a unique early medieval burial (680-810 AD) from London

YesIn 1991, a rescue excavation uncovered a unique early medieval burial (680-810 AD) of an adult female on the foreshore of the River Thames, London. Parts of her body had been covered by moss, and her body had been placed between two sheets of bark, with the grave marked by posts, making the body visible at high tide. Multidisciplinary analyses of the human remains shows that she was from London, and had survived a severe beating to her back that had been repeated before death, which was caused by a blow to her head. We suggest that she may have been beaten then executed, with the choice of burial location perhaps symbolising execution by drowning.The full text will be available at the end of the publisher's embargo: 12th May 202

Design, synthesis and biological evaluation of small molecule-based aldehyde dehydrogenase (ALDH) inhibitors

The full text will be available at the end of the embargo: 20th Jan 202

Design, Synthesis and Biological Evaluation of Chemical Probes Incorporating Aldehyde Dehydrogenase (ALDH) Recognition Motifs and Fluorescent Properties. An Investigation Towards the Development of ALDH-Affinic Fluorophores for Hypoxia Cell Tracking

The full text will be available at the end of the extended embargo: 21st Feb 202

A Study on The Influence of Visual Electronic Word of Mouth (VeWOM) On Consumer Travel Intention: A Mental Imagery Processing Perspective from A Developing Markets Context

The full text will be available at the end of the embargo: 15th Dec 202

A Novel Approach to Enhancing Security and Performance in Mobile Cloud Computing Using SDN, NFV, and CASB

YesThe expansion of mobile cloud computing (MCC) has led to a rapid evolution in how data and services are delivered across geographically dispersed infrastructures. While MCC enables flexibility, scalability, and ubiquitous access, it presents critical security and performance challenges. This paper proposes a comprehensive architecture that leverages Software-Defined Networking (SDN), Network Function Virtualization (NFV), and Cloud Access Security Broker (CASB) to enhance the resilience, scalability, and manageability of MCC systems. We introduce a layered architecture where SDN controls the network plane, NFV deploys dynamic security functions, and CASB enforces data governance in cloud services. Through extensive experimentation using Mininet and traffic simulation tools, we evaluate the system’s latency, throughput, scalability, and security performance under various traffic conditions. Results demonstrate that the proposed solution achieves latency overhead under 5ms, successfully mitigates more than 90% of DDoS attacks, and scales efficiently to handle up to 10,000 firewall rules with less than 10% performance degradation. This integrated solution promises to strengthen MCC deployments, particularly in critical sectors like finance, healthcare, and smart cities.The full text will be available at the end of the publisher's embargo: 11th Aug 2026

The role of value-based leadership in multi-agency safeguarding responses to child sexual exploitation

YesThis chapter examines the development of value-based leadership (VBL) within multi-agency safeguarding and how complex problems are identified and managed as a collective. Theories of VBL have been chosen to help identify how common components associated with this form of leadership can inform leadership practices in a multi-agency partnership environment. To bridge the gap between VBL and multi-agency safeguarding, a case study relating to a multi-agency response to Child Sexual Exploitation (CSE) is presented, with links to evolving leadership structures, practices, and processes. The case study exemplifies the benefits of flattening traditional hierarchical leadership structures, alongside the importance of allowing the voices of all involved to be heard and listened to. The need to balance collective decision making, with accountability across and within organisations, is also focused upon. Subsequently, the chapter considers the role of VBL in complex safeguarding situations and offers novel empirical contributions to best practice in social work.The full-text of this book chapter will be released for public view at the end of the publisher embargo in September 2026

Design, synthesis and biological evaluation of duocarmycin compounds for tumourselective therapy

The full text will be available at the end of the embargo: 21st Dec 202

AI-Driven Phishing: Techniques, Threats, and Defence Strategies

YesPhishing attacks are one of the most challenging threats in the cyberspace. Recently, rapid advancements of (generative) AI and its wide applicability has been exploited by attackers to perform phishing attacks. However, limited studies exist regarding AI-based phishing and apt defence strategies. In this work, we explore a wide variety of AI-leveraging techniques, adopted by attackers to conduct successful phishing campaigns. Additionally, we highlight the negative impact of AI-driven phishing in real-world and the attendant challenges that it has on cybersecurity. We also examine various factors and features of AI-powered phishing which makes these difficult to identify and complicated to defend. Consequently, we evaluate the crucial aspects of phishing attacks and discuss its defence strategies, human-centred preventive measures, and ethical considerations for enhancing security against AI-based phishing threats. Our findings provide valuable insights to the evolving cybersecurity threats and effective approaches to defend against these sophisticated AI-driven attacks.The full text will be available at the end of the publisher's embargo: 14th May 2026

Automotive IVHM: a framework for intelligent health management of powertrain systems. Development of a framework and methodology based on the fusion of knowledge-based and data-driven modelling approaches for diagnostics and prognostics of complex systems with application to automotive powertrain systems

The full text will be available at the the end of the embargo period: 29th Jul 202