Social media platforms and its applications in natural disaster and crisis events – the case of Bosnia & Herzegovina

Social media platforms are providing opportunities for people to easily engage in warning and informing others in response to natural disaster and crisis events. They are considered more effective and faster to spread among people than traditional media do, and as such make them very important for governments’ civil protection authorities to consider using social media in a framework that will help people to better prepare and response to threats. The importance of this study is that it brings attention to the case of crisis in Bosnia and Herzegovina and it enriches the literature with current status and trends of effective using of SM to early prepare for and mitigate the consequences of disaster impact. This paper discusses some of the major challenges identified during the May 2014 flood in Bosnia and Herzegovina and the public use of social media that enabled the exploitation of new opportunities for facing flood threats and mitigate its effects. Keywords: Bosnia & Herzegovina, Flood Crisis, Flood Challenges, Natural Disaster, Social Medi

Investigating Social Media Management, Adoption and Challenges - The Case of Bosnia and Herzegovina

Social media and innovative Web Services and solutions are offering new possibilities for innovative use in different aspects our lives. Being apart from getting involved in using social media would add more challenges to our daily activities, as we are becoming more reliable on their use. Social media platforms are offering its users new means of communications, where users who post, share and comment on online published information have the potential of reaching a large mass of people in a very short time when compared with traditional use of media. Such use of social media platforms makes it very useful and important to be adequately consider as means for better preparing and responding to a critical event and may offer many benefits in terms of protection and rescue for agencies dealing with civil protection, as they provide wider opportunities for people to engage in warning and informing others in a response to crisis events. This study is part of a wider research conducted in Bosnia and Herzegovina, and it will focus on discussing the current views of governmental officials in Bosnia and Herzegovina when it comes to the use of social media in the field of protection and rescue activities. The findings are presented in order to pinpoint challenges that will be used as a roadmap for any future solutions in this regard. Keywords: Bosnia & Herzegovina, Flood Crisis, Situation Awareness, Natural Disaster, Social Media, Civil protection

A comparison of different methods to maximise signal extraction when using central venous pressure to optimise atrioventricular delay after cardiac surgery.

Our group has shown that central venous pressure (CVP) can optimise atrioventricular (AV) delay in temporary pacing (TP) after cardiac surgery. However, the signal-to-noise ratio (SNR) is influenced both by the methods used to mitigate the pressure effects of respiration and the number of heartbeats analysed. This paper systematically studies the effect of different analysis methods on SNR to maximise the accuracy of this technique. We optimised AV delay in 16 patients with TP after cardiac surgery. Transitioning rapidly and repeatedly from a reference AV delay to different tested AV delays, we measured pressure differences before and after each transition. We analysed the resultant signals in different ways with the aim of maximising the SNR: (1) adjusting averaging window location (around versus after transition), (2) modifying window length (heartbeats analysed), and (3) applying different signal filtering methods to correct respiratory artefact. (1) The SNR was 27 % higher for averaging windows around the transition versus post-transition windows. (2) The optimal window length for CVP analysis was two respiratory cycle lengths versus one respiratory cycle length for optimising SNR for arterial blood pressure (ABP) signals. (3) Filtering with discrete wavelet transform improved SNR by 62 % for CVP measurements. When applying the optimal window length and filtering techniques, the correlation between ABP and CVP peak optima exceeded that of a single cycle length (R = 0.71 vs. R = 0.50, p < 0.001). We demonstrated that utilising a specific set of techniques maximises the signal-to-noise ratio and hence the utility of this technique. [Abstract copyright: © 2024 The Author(s).

Requirements for Point of Care Devices using Use Case Maps

Point of Care (PoC) testing (diagnosis) is a method for bringing medical laboratories to a patient’s home to conduct diagnostic tests so that the patient does not need to go to the doctor or laboratory in person. PoC testing reduces the burden on expensive laboratory setups and provides management of patient care in cost effective manner. The design and development of the PoC device and the associated infrastructure must be done with extreme rigor, as the PoC system meets the definition of a mission critical or safety critical system. Requirements creation and management are the key processes for ensuring that a highly reliable and low defect PoC system is developed since accurate PoC testing-based diagnosis is an essential process improvement for remote patient care management. It is important that the requirements be specified accurately, completely and without any ambiguity so that the PoC device can be designed and developed with minimal errors. This provides physicians a vehicle to diagnose patients with drastically increased reliability. This paper explains how Use Case Maps (UCM), a modeling technique, can help to sufficiently model requirement specifications for a PoC system development. It illustrates PoC functional requirements and security requirements in terms of the UCM representation. DOI: 10.17762/ijritcc2321-8169.150616

Development of Ultrasonic Guided Wave Transducer for Monitoring of High Temperature Pipelines

High-temperature (HT) ultrasonic transducers are of increasing interest for structural health monitoring (SHM) of structures operating in harsh environments. This article focuses on the development of an HT piezoelectric wafer active sensor (HT-PWAS) for SHM of HT pipelines using ultrasonic guided waves. The PWAS was fabricated using Y-cut gallium phosphate (GaPO4) to produce a torsional guided wave mode on pipes operating at temperatures up to 600 °C. A number of confidence-building tests on the PWAS were carried out. HT electromechanical impedance (EMI) spectroscopy was performed to characterise piezoelectric properties at elevated temperatures and over long periods of time (>1000 h). Laser Doppler vibrometry (LDV) was used to verify the modes of vibration. A finite element model of GaPO4 PWAS was developed to model the electromechanical behaviour of the PWAS and the effect of increasing temperatures, and it was validated using EMI and LDV experimental data. This study demonstrates the application of GaPO4 for guided-wave SHM of pipelines and presents a model that can be used to evaluate different transducer designs for HT applications

Future needs for ship emission abatement and technical measures

The International Maritime Organization (IMO) has revised air pollution regulations in MARPOL Annex VI. In 2012 Emission Control Areas (ECA) will limit fuel sulphur content to 1% and from 2015 to 0.1%). NOx emissions based on ships engine speed are also reduced for new vessels (2012 & 2016). Facing this legislation, ship owners have the alternative either to operate ships with costly low-sulphur fuels, or to keep using HFO but together with a gas cleaning equipment at the ship stack in order to reduce the rejected amount of SO2 gas in the atmosphere. To achieve this requirement, research and development organizations came out with proposing a solution that uses a device for cleaning exhaust gas of marine diesel engines. The paper presents a short communication about the DEECON project, which aim is to create a novel on-board after-treatment unit more advanced than any currently available. Each sub-unit of the system will be optimized to remove a specific primary pollutant. In particular, the technology within the DEECON system is based on novel or improved abatement techniques for reducing SOx, NOx, Particulate Matter (PM), CO and Volatile Organic Compounds (VOC). Some of these technologies are completely new for the maritime sector and they will represent a breakthrough in the reduction of the atmospheric emissions of ships, moving forward the performance of exhaust gas cleaning systems and fostering and anticipating the adoption of future and tighter regulatory requirements. In addition, an after-treatment strategy enables the possible adoption of alternative fuels, which often have their own emissions characteristics

High temperature shear horizontal electromagnetic acoustic transducer for guided wave inspection

Guided Wave Testing (GWT) using novel Electromagnetic Acoustic Transducers (EMATs) is proposed for the inspection of large structures operating at high temperatures. To date, high temperature EMATs have been developed only for thickness measurements and they are not suitable for GWT. A pair of water-cooled EMATs capable of exciting and receiving Shear Horizontal (SH0) waves for GWT with optimal high temperature properties (up to 500 °C) has been developed. Thermal and Computational Fluid Dynamic (CFD) simulations of the EMAT design have been performed and experimentally validated. The optimal thermal EMAT design, material selection and operating conditions were calculated. The EMAT was successfully tested regarding its thermal and GWT performance from ambient temperature to 500 °C

VIDIIA Hunter: a low-cost, smartphone connected, artificial intelligence-assisted COVID-19 rapid diagnostic platform approved for medical use in the UK

Introduction: Accurate and rapid diagnostics paired with effective tracking and tracing systems are key to halting the spread of infectious diseases, limiting the emergence of new variants and to monitor vaccine efficacy. The current gold standard test (RT-qPCR) for COVID-19 is highly accurate and sensitive, but is time-consuming, and requires expensive specialised, lab-based equipment.Methods: Herein, we report on the development of a SARS-CoV-2 (COVID-19) rapid and inexpensive diagnostic platform that relies on a reverse-transcription loop-mediated isothermal amplification (RT-LAMP) assay and a portable smart diagnostic device. Automated image acquisition and an Artificial Intelligence (AI) deep learning model embedded in the Virus Hunter 6 (VH6) device allow to remove any subjectivity in the interpretation of results. The VH6 device is also linked to a smartphone companion application that registers patients for swab collection and manages the entire process, thus ensuring tests are traced and data securely stored.Results: Our designed AI-implemented diagnostic platform recognises the nucleocapsid protein gene of SARS-CoV-2 with high analytical sensitivity and specificity. A total of 752 NHS patient samples, 367 confirmed positives for coronavirus disease (COVID-19) and 385 negatives, were used for the development and validation of the test and the AI-assisted platform. The smart diagnostic platform was then used to test 150 positive clinical samples covering a dynamic range of clinically meaningful viral loads and 250 negative samples. When compared to RT-qPCR, our AI-assisted diagnostics platform was shown to be reliable, highly specific (100%) and sensitive (98–100% depending on viral load) with a limit of detection of 1.4 copies of RNA per µL in 30 min. Using this data, our CE-IVD and MHRA approved test and associated diagnostic platform has been approved for medical use in the United Kingdom under the UK Health Security Agency’s Medical Devices (Coronavirus Test Device Approvals, CTDA) Regulations 2022. Laboratory and in-silico data presented here also indicates that the VIDIIA diagnostic platform is able to detect the main variants of concern in the United Kingdom (September 2023).Discussion: This system could provide an efficient, time and cost-effective platform to diagnose SARS-CoV-2 and other infectious diseases in resource-limited settings