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Volunteers were exposed to four different environmental conditions [two hot environments: 30°C WBGT (1st: air temperature = 32.6°C; relative humidity = 30%; wind speed = 0.5 m/s; solar radiation = 800 W/m2 and 2nd. air temperature = 40.6°C; relative humidity = 30%; wind speed = 0.5 m/s; solar radiation = 0 W/m2) and two neutral environments: 20°C WBGT (1st: air temperature = 19.1°C; relative humidity = 30%; wind speed = 0.5 m/s; solar radiation = 800 W/m2 and 2nd. air temperature = 28.5°C; relative humidity = 30%; wind speed = 0.5 m/s; solar radiation = 0 W/m2], over an equal number of days. The aforementioned environmental scenarios were randomly allocated for each volunteer. To minimize participant bias, the true purpose of the study was hidden from the volunteers. Of course, once the data collection was completed, all volunteers were informed about the true purpose of the study and gave their permission to analyze and publish these data. During this blinded randomized controlled trial, all volunteers participated four times in an experimental protocol with a total duration of 03:20:00, following an hour of preparation and baseline tests. The protocol had three main time periods [rest (two hours), work (cycling) at 100 W (one hour), and recovery (twenty minutes)]. Anthropometrical data [age; body stature (Seca 213; seca GmbH & Co. KG; Hamburg, Germany); body mass (BC1000, Tanita corporation, Tokyo, Japan); body fat (DXA scan: Lunar DPX Madison, GE Healthcare, Wisconsin, USA); and lean mass (DXA scan: Lunar DPX Madison, GE Healthcare, Wisconsin, USA)] were collected two days prior to the experiments. Volunteers were euhydrated prior to the experiments. Hydration status was assessed using a handheld refractometer (ATAGO Ltd, Tokyo, Japan) and determined as either euhydrated (USG < 1.020) or dehydrated (USG ≥ 1.020) according to the current guidelines. Water consumption was restricted during the experimental protocol. The same clothing consisting of a light-blue t-shirt (100% cotton), a black exercise short pant (100% polyester), and a pair of medium-high socks (100% cotton) were used by volunteers throughout the experiments. A pair of sunglasses was mandatory to be worn throughout the experiments. Furthermore, experiments took place during the same hour of the day for each participant and an 8-hour fasting was ensured prior to the experiments. Furthermore, participants were requested to avoid caffeine and alcohol consumption for at least twelve hours before the experiments, as well as to avoid salt and sugar consumption eight hours before the experiments. During the study, continuous heart rate, core temperature, mean skin temperature, skin blood flow, and sweat rate were measured. Specifically, heart rate was collected using wireless heart rate monitors (Polar Team2. Polar Electro Oy, Kempele, Finland). Core temperature was collected using telemetric capsules (BodyCap, Caen, France). Skin temperature from four sites was measured using wireless thermistors (iButtons type DS1921H, Maxim/Dallas Semiconductor Corp., USA) and was expressed as mean skin temperature according to Ramanathan [mean skin temperature = 0.3(chest + arm) + 0.2(thigh + leg). Skin blood flow was measured with a laser Doppler flowmeter (PeriFlux 4000, Perimed, Stockholm, Sweden) at right forearm (brachioradialis) and leg (gastrocnemius). The probe (PROBE 413 Integrating Probe, Perimed, Stockhold, Sweden) was held in place with a plastic holder (PH 13, Perimed, Stockhold, Sweden). Sweat rate was measured at three regions [forehead, thigh (quadricep), and arm (bicep)] using ventilated capsule method. Thermal comfort (1 = comfortable; 5 = extremely uncomfortable), thermal sensation (-3 = cold; +3 = hot), and perceived exertion (6 = no exertion at all; 20 = maximal exertion), alongside cognitive performance (vigilance, divided attention, memory test, and reaction time) were assessed at baseline, pre work condition (01:40:00), and post work (03:00:00) conditions. Volunteers entered the chamber five minutes prior to the experiments to install data loggers and accompanied sensors on their body. Solar radiation is a physical phenomenon which interacts with any human being throughout its life on earth. This interaction is associated with numerous physiological functions, as well as a broad spectrum of deleterious effects on human health and wellbeing. The aim of this study is to elucidate the effects of solar radiation on human function and cognition in environmental conditions characterized by the same thermal stress.

This dataset contains the underlying data for the following publication: Doukas, H., Spiliotis, E., Jafari, M. A., Giarola, S. & Nikas, A. (2021). Low-cost emissions cuts in container shipping: Thinking inside the box. Transportation Research Part D: Transport and Environment, 94, 102815, https://doi.org/10.1016/j.trd.2021.102815.

This data set contains the essential files used as input for the analysis, intermediate files produced during the analysis, and the key output fields. The code of the analysis is available here: https://github.com/VUB-HYDR/2021_Thiery_etal_Science Input fields: - isimip.zip: Postprocessed ISIMIP2b simulation output. This data set is very similar to the data presented in Lange et al. (2020 Earth's Future) but includes selected additional impact models and scenarios (notably RCP8.5). This data set also includes the gridded population data. - GMT_50pc_manualoutput_4pathways.xlsx: Global mean temperature anomaly trajectories from the IPCC SR15 - wcde_data.xlsx: postprocessed cohort size data originally obtained from the Wittgenstein Centre Human Capital Data Explorer. - WPP2019_MORT_F16_1_LIFE_EXPECTANCY_BY_AGE_BOTH_SEXES.xlsx: Postprocessed life expectancy data originally obtained from the UNited Nations World Population Programme Intermediate files *only use if you're interested in reproducing the results*: - workspaces.zip: Postprocessed ISIMIP2b simulation output. These matlab workspaces contain data on land area annually exposed to extreme events which is stored in a format designed to speed up the analysis. - mw_isimip.mat: ISIMIP2 simulations metadata (e.g. model, gcm and rcp name per simulation) - mw_countries.mat: information on the countries used in the analysis (e.g. border polygon coordinates) - mw_exposure.mat: age-dependent exposure computed from the ISIMIP and population data - mw_exposure_pic.mat: pre-industrial control age-dependent exposure computed from the ISIMIP and population data - mw_exposure_pic_coldwaves.mat: pre-industrial control age-dependent exposure to coldwaves computed from the ISIMIP and population data Output of the analysis: - mw_output.mat: Matlab workspace containing all variables produced during the analysis presented in thepaper. Use this file if you wish to look up certain numbers or want to use the study results for further analysis.

Abstract The present paper examines the phenomenon of energy poverty in Greece. Specifically, energy poverty concerns a growing number of households that have limited access to energy or are unable to pay for this energy, mainly due to insufficient thermal insulation, low income and high energy costs. The continuing economic crisis in Greece has increased the rate of energy poverty as incomes have fallen, the price of oil and PPC tariffs have risen, more households are asked to pay more than 20% of their energy bill income. Excessive energy poverty in turn has an impact on the environment (illegal logging, smog, etc.), but also to the physical and mental health of people exposed to it. The paper includes a case study which provides information and data collected from a sample of 384 households using the questionnaire method in four areas of northern Greece, which is the Edessa area in Central Macedonia, the area of Drama in Eastern Macedonia, the area of Xanthi and the Municipality of Myki (Pomakohoria) in Thrace. Initially, personal data, housing characteristics and household health status are presented. The types of heating system of the examined households and the extent to which they meet the required levels of thermal comfort are presented below. In addition, the aforementioned data is associated with the energy accounts. The findings, show that energy poverty has affected a significant proportion of households in Greece. This is due to the fact that there are households that do not meet the energy needs of their home.

Effective access control techniques are in demand, as electronically assisted healthcare services require the patient’s sensitive health records. In emergency situations, where the patient’s well-being is jeopardized, different healthcare actors associated with emergency cases should be granted permission to access Electronic Health Records (EHRs) of patients. The research objective of our study is to develop machine learning techniques based on patients’ time sequential health metrics and integrate them with an Attribute Based Access Control (ABAC) mechanism. We propose an ABAC mechanism that can yield access to sensitive EHRs systems by applying prognostic context handlers where contextual information, is used to identify emergency conditions and permit access to medical records. Specifically, we use patients’ recent health history to predict the health metrics for the next two hours by leveraging Long Short Term Memory (LSTM) Neural Networks (NNs). These predicted health metrics values are evaluated by our personalized fuzzy context handlers, to predict the criticality of patients’ status. The developed access control method provides secure access for emergency clinicians to sensitive information and simultaneously safeguards the patient’s well-being. Integrating this predictive mechanism with personalized context handlers proved to be a robust tool to enhance the performance of the access control mechanism to modern EHRs System.

Abstract Thin films of vanadium oxide were deposited on glass substrates at 450 o C by atmospheric pressure chemical vapour deposition. The effect of the vanadium tetrachloride to water precursor ratio on the structural and morphological properties of the films was investigated. The water concentration was observed to strongly affect the vanadium oxidation state and the morphological characteristics of the films. The importance of achieving single-phase of a particular oxidation state towards the improvement of the electrochemical performance of thin films grown by atmospheric pressure CVD is highlighted.

Nowadays, the imperative need for the reduction of Greenhouse Gas (GHG) emissions leads to the wider adoption of environmentally friendly transportation means. As a result, various policies underpinning the Electric Vehicle (EV) deployment are legislated globally, and several technical advances contributing to the electrification of the transportation sector are pursued. In this paper, a comprehensive overview of the current status of the infrastructure utilized for the realization of both conductive and contactless (wireless) charging of an EV battery is conducted. Furthermore, the issue of EV integration in conventional distribution networks, as well as in future power system architectures, is discussed in detail. Particular focus is given to wireless (i.e., inductive) charging. A detailed presentation of the respective standards and charging levels, as well as the magnetic couplers and the compensation network configurations, is carried out. Moreover, innovative concepts such as dynamic and quasi-dynamic wireless charging, as well as future challenges and opportunities, are presented and discussed. Finally, smart control and communication techniques applicable to EV charging are presented in the context of the future Internet of Energy (IoE) concept.

Hydrogen, as a maritime fuel, is one of the solutions that will assist the shipping sector in addressing the challenges regarding decarbonization, taking into consideration the targets set for 2030 and 2050. The extensive utilization of hydrogen requires massive production of green hydrogen and the development of proper infrastructure to support a sustainable supply chain. An alternative solution is based on the on-board production of hydrogen, where production units are installed on-board the vessel. Along these lines, the HYMAR project aims to test the utilization of a hydrogen production unit for on-board use. The article deals with the use of hydrogen as a fuel for internal combustion engines, taking into consideration reports from literature and the preliminary results of the HYMAR project, focusing on the environmental impact and the reduction in emissions. Experimental investigation on a marine auxiliary engine for power generation, under the HYMAR project, leads to promising results regarding the environmental footprint of the internal combustion engine when hydrogen is added in the fuel mix with increasing percentages.