Hygiène

L' est un ensemble de mesures destinées à prévenir les infections et l'apparition de maladies infectieuses. Elle se base essentiellement sur trois actions :

le nettoyage et la détersion ;
la désinfection ;
la conservation.

Il est possible de distinguer l'hygiène domestique et l'hygiène du corps. Par extension, on parle aussi d, d et d pour des actions et activités permettant de prévenir l'apparition de troubles, comme la pratique d'un sport, l'abstention de fumer ou de boire de l'alcool. vignette|L'apprentissage de la toilette est un des éléments de l'éducation à l'hygiène vignette|La toilette du chat, acte instinctif vignette|Nécessaire de toilette, utilisé lors de la Première Guerre mondiale Histoire Antiquité Le mot hygiène dérive du nom de la déesse grecque Hygie (dont l'étymologie vient du grec ancien he, hugieinós « qui contribue à la santé »), qui était la déesse de la santé et de la propreté. Fille d'Asclépios, le dieu de la médecine, Hygie sym

Assessment of water, sanitation, and hygiene services in district health care facilities in rural area of Mekong Delta, Vietnam

Solomzi Makohliso, Klaus Benedikt Schönenberger

Access to sufficient water, sanitation, and hygiene (WASH) services is a crucial requirement for patients during therapy and general well-being in the hospital. However, in low- and middle-income countries, these services are often inadequate, resulting in increased morbidity and mortality of patients. This study aimed at assessing the current situation of WASH services in six District Health Care Facilities (DHCFs) in rural areas of the Mekong Delta provinces, Vietnam. The results showed that these services were available with inappropriate quality, which did not compromise the stakeholders' needs. The revealed WASH infrastructures have raised concerns about the prolonged hospital stays for patients and push nosocomial infections to a high level. The safety of the water supply was doubted as the high E. coli (> 60%) and total coliform incidence (86%) was observed with very low residual chlorine concentration (

SPRINGER2022

Reinforcement Learning for proactive operation of residential energy systems by learning stochastic occupant behavior and fluctuating solar energy: Balancing comfort, hygiene and energy use

Amirreza Heidari, Dolaana Khovalyg, François Maréchal

When it comes to residential buildings, there are several stochastic parameters, such as renewable energy production, outdoor air conditions, and occupants’ behavior, that are hard to model and predict accurately, with some being unique in each specific building. This increases the complexity of developing a generalizable optimal control method that can be transferred to different buildings. Rather than hard-programming human knowledge into the controller (in terms of rules or models), a learning ability can be provided to the controller such that over the time it can learn by itself how to maintain an optimal operation in each specific building. This research proposes a model-free control framework based on Reinforcement Learning that takes into account the stochastic hot water use behavior of occupants, solar power generation, and weather conditions, and learns how to make a balance between the energy use, occupant comfort and water hygiene in a solar-assisted space heating and hot water production system. A stochastic-based offline training procedure is proposed to give a prior experience to the agent in a safe simulation environment, and further ensure occupants comfort and health when the algorithm starts online learning on the real house. To make a realistic assessment without interrupting the occupants, weather conditions and hot water use behavior are experimentally monitored in three case studies in different regions of Switzerland, and the collected data are used in simulations to evaluate the proposed control framework against two rule-based methods. Results indicate that the proposed framework could achieve an energy saving from 7% to 60%, mainly by adapting to solar power generation, without violating comfort or compromising the health of occupants.

2022

Reinforcement Learning for proactive operation of residential energy systems by learning stochastic occupant behavior and fluctuating solar energy: Balancing comfort, hygiene and energy use

Amirreza Heidari, Dolaana Khovalyg, François Maréchal

2022

Using Online Sensor Measurements to Predict the Hygienic Water Quality in a Small-Scale Water Reuse System

Assessment of water, sanitation, and hygiene services in district health care facilities in rural area of Mekong Delta, Vietnam

Reinforcement Learning for proactive operation of residential energy systems by learning stochastic occupant behavior and fluctuating solar energy: Balancing comfort, hygiene and energy use

Using Online Sensor Measurements to Predict the Hygienic Water Quality in a Small-Scale Water Reuse System

Reinforcement Learning for proactive operation of residential energy systems by learning stochastic occupant behavior and fluctuating solar energy: Balancing comfort, hygiene and energy use

Assessment of water, sanitation, and hygiene services in district health care facilities in rural area of Mekong Delta, Vietnam