This paper describes research carried out at Loughborough University in the UK into the areas of 'design for all' and accessible transport. The research addresses two common needs for designers and ergonomists working towards developing more inclusive products and environments, namely data on users that is accessible, valid, and applicable and a means of utilising the data to assess the accessibility of designs during the early stages of development. HADRIAN is a computer-based inclusive design tool that has been developed to support designers in their efforts to develop products that meet the needs of a broader range of users. Currently HADRIAN is being expanded to support transport design. This includes data on an individual's ability to undertake a variety of transport-related tasks, such as vehicle ingress/egress, coping with uneven surfaces, steps, street furniture and complex pedestrian environments. The subsequent use of this data will be supported either through a task analysis system that will allow a designer to evaluate a design for a part of the transport infrastructure (ticket barrier, train carriage etc.), or alternatively allow the designer or an end user to evaluate a whole journey. The 'journey planner' feature of the HADRIAN tool will compare an individual's physical, cognitive and emotional abilities with the demands placed upon that individual by the mode(s) of transport available and the route options selected. It is envisaged that these developments will prove extremely useful to users, designers, planners and all those involved with transport use and implementation.
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http://dx.doi.org/10.3233/WOR-2009-0881 | DOI Listing |
Int Immunopharmacol
January 2025
Department of Pharmaceutical Sciences, School of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University (A Central University), Vidya Vihar, Raebareli Road, Lucknow 226025, India. Electronic address:
Monocarboxylate transporter 4 (MCT-4) is involved in various metabolic processes which are crucial in maintaining cellular pH and energy metabolism, and thus influence the tumor microenvironment. The study is aimed to rationally design effective Small interfering RNA (siRNA) that can silence MCT-4. We utilized a comprehensive workflow integrating multiple tools such as siDirect version 2.
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January 2025
Department of Emergency and Critical Care Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Background: This study aimed to clarify the appropriate timing for epinephrine administration in adults with out-of-hospital cardiac arrest (OHCA), particularly those cases with nonshockable rhythms, by addressing resuscitation time bias.
Methods: We performed a retrospective observational study utilizing a multicenter OHCA registry involving 95 hospitals in Japan between June 2014 and December 2020. We included patients with OHCA and nonshockable rhythms who received epinephrine during resuscitation.
Small
January 2025
Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650504, China.
The design and fabrication of nanocatalysts with high accessibility and sintering resistance remain significant challenges in heterogeneous electrocatalysis. Herein, a novel catalyst is introduced that combines electronic pumping with alloy crystal facet engineering. At the nanoscale, the electronic pump leverages the chemical potential difference to drive electron migration from one region to another, separating and transferring electron-hole pairs.
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January 2025
University of Zagreb, Faculty of Transport and Traffic Sciences, Vukelićeva 4, 10000 Zagreb, Croatia.
The possibilities of the Ambient Assisted Living (AAL)/Enhanced Living Environments (ELE) concept in the environment of a smart home were investigated to improve accessibility and improve the quality of life of a person with disabilities. This paper focuses on the concept of predictive information for a person with disabilities in a smart home environment concept where artificial intelligence (AI) and machine learning (ML) systems use data on the user's preferences, habits, and possible incident situations. A conceptual mathematical model is proposed, the purpose of which is to provide predictive user information from defined data sets.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.
The Internet of Vehicles (IoV), a key component of smart transportation systems, leverages 5G communication for low-latency data transmission, facilitating real-time interactions between vehicles, roadside units (RSUs), and sensor networks. However, the open nature of 5G communication channels exposes IoV systems to significant security threats, such as eavesdropping, replay attacks, and message tampering. To address these challenges, this paper proposes the Efficient Cluster-based Mutual Authentication and Key Update Protocol (ECAUP) designed to secure IoV systems within 5G-enabled sensor networks.
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