Elsevier, Measurement: Journal of the International Measurement Confederation, Volume 190, 28 February 2022
The present paper aims to describe the project and development of an ECG monitoring system which is able to diagnose specific cardiac pathologies by adapting the processing algorithm to the monitored patient. The system can work standalone by providing the final diagnosis to the patient by a LEDs set. In addition, an IoT based architecture allows the system to share data and diagnosis with a remote cardiologist in real-time or to store data in a FTP folder, as an Holter monitor, for post-processing and further analysis.
Elsevier, Building and Environment, Volume 203, October 2021
Monitoring the thermal comfort of building occupants is crucial for ensuring sustainable and efficient energy consumption in residential buildings. Existing studies have addressed the monitoring of thermal comfort through questionnaires and activities involving occupants. However, few studies have considered disabled people in the monitoring of thermal comfort, despite the potential for impairments to present thermal requirements that are significantly different from those of an occupant without a disability.
Elsevier, Habitat International, Volume 115, September 2021
Monitoring global land-use efficiency in the context of the UN 2030 Agenda for Sustainable Development
Tracking progress toward the Sustainable Development Goals (SDGs) requires monitoring of various social-ecological indicators over space and time, including the ratio of land consumption rate to population growth rate (LCRPGR), an indicator of land-use efficiency (SDG 11.3.1). In this study, we analyzed state-of-the-art Earth observation data (1975–2015) to address three key questions. First, how has the LCRPGR varied over space and time? Second, how is built-up expansion related to population increase across regions?
Elsevier, Geography and Sustainability, Volume 2, June 2021
After 10 years of the Fukushima Nuclear Accident, Japan decided on 13 April 2021 to release the nuclear wastewater into the Pacific Ocean. It is apparent that Japan has chosen the most cost-efficient way to deal with the contaminated water, however, great opposition and concerns have been aroused internationally due to the harmful ecotoxicological features of radioactive materials. Here we analyze the ecological impacts caused by the nuclear accident and the potential impacts of releasing the nuclear wastewater into the ocean.
Elsevier, General and Comparative Endocrinology, Volume 303, 1 March 2021
Non-invasive hormone monitoring as a robust method for determining adrenocortical activity in injured, emaciated and oil-contaminated African penguins undergoing rehabilitation
Anthropogenic activity is a major driver of seabird injury and mortality in the 21st century. Although most seabirds perish within the natural environment as a result of human activities, some are rescued and admitted to rehabilitation centres. Despite the considerable number of admissions, little is known regarding the physiological response seabirds have to specific admission reasons and the rehabilitation process.
Elsevier, Health Policy, Volume 124, June 2020
Achieving the SDGs: Evaluating indicators to be used to benchmark and monitor progress towards creating healthy and sustainable cities
In 2016, the World Health Organization declared that ‘Health is one of the most effective markers of any city's successful sustainable development’ (World Health Organisation, 2016). With estimates that around 6.7 billion people will live in cities by 2050, 21st century city planning decisions will play a critical role in achieving the United Nations (UN) Sustainable Development Goals (SDGs). They will determine the city structure and access to health-enhancing (or health-damaging) urban environments, and ultimately lifestyle choices that impact both individual and planetary health.
Elsevier, Remote Sensing of Environment, Volume 239, 15 March 2020
In the face of the growing challenges brought about by human activities, effective planning and decision-making in biodiversity and ecosystem conservation, restoration, and sustainable development are urgently needed. Ecological models can play a key role in supporting this need and helping to safeguard the natural assets that underpin human wellbeing and support life on land and below water (United Nations Sustainable Development Goals; SDG 15 & 14).
Elsevier, Journal of Clinical Densitometry, Volume 22, October - December 2019
Executive Summary of the 2019 ISCD Position Development Conference on Monitoring Treatment, DXA Cross-calibration and Least Significant Change, Spinal Cord Injury, Peri-prosthetic and Orthopedic Bone Health, Transgender Medicine, and Pediatrics
To answer important questions in the fields of monitoring with densitometry, dual-energy X-ray absorptiometry machine cross-calibration, monitoring, spinal cord injury, periprosthetic and orthopedic bone health, transgender medicine, and pediatric bone health, the International Society for Clinical Densitometry (ISCD) held a Position Development Conference from March 20 to 23, 2019. Potential topics requiring guidance were solicited from ISCD members in 2017. Following that, a steering committee selected, prioritized, and grouped topics into Task Forces.
Remote sensing of water use and water stress in the African savanna ecosystem at local scale – Development and validation of a monitoring tool
Physics and Chemistry of the Earth, Volume 112, August 2019
This paper relates to remote sensing of water use and water stress in the African savanna ecosystem at a local scale, as well as the development and validation of a monitoring tool.
Elsevier, World Development, Volume 93, 1 May 2017
Mind the Gap: Analyzing the Impact of Data Gap in Millennium Development Goals’ (MDGs) Indicators on the Progress toward MDGs
This paper analyzes the impact of data gap in Millennium Development Goals’ (MDGs) performance indicators on actual performance success of MDGs. Performance success, within the MDG framework, is quantified using six different ways proposed in the existing literature, including both absolute and relative performance and deviation from historical transition paths of MDG indicators. The empirical analysis clearly shows that the data gap in performance measurement is a significant predictor of poor MDG performance in terms of any of the six progress measures.