Machine learning insights on intensive care unit-acquired weakness

Intensive care unit-acquired weakness(ICU-AW)significantly hampers patient recovery and increases morbidity.With the absence of established preventive strategies,this study utilizes advanced machine learning methodologies to unearth key predictors of ICU-AW.Employing a sophisticated multilayer perceptron neural network,the research methodically assesses the predictive power for ICU-AW,pinpointing the length of ICU stay and duration of mechanical ventilation as pivotal risk factors.The findings advocate for minimizing these elements as a preventive approach,offering a novel perspective on combating ICU-AW.This research illuminates critical risk factors and lays the groundwork for future explorations into effective prevention and intervention strategies.

Research on computer network security measures

With the rapid development of the computer network technologies, in the application of the computer networks, the importance of the network security is becoming increasingly prominent, and computer network security issues have received more and more attention of the communities. In the face of the problems of the security hidden trouble in the computer network, it is essential to take the relevant measures to ensure the safety of the computer network. With the computer network security as the breakthrough point, this paper discusses the precautionary measures of the computer network security based on the analysis of the computer network security, in order to illustrate the importance of the computer network security, to provide references for ensuring the security of the computer network.

Long-Term Improvement in Precautions for Flood Risk Mitigation:A Case Study in the Low-Lying Area of Central Vietnam

Local actors appear as inseparable components of the integrated flood risk mitigation strategy in Vietnam.Recognizing this fact,this study examined the long-term improvement in precautions taken by commune authorities and households between two major floods in 1999 and 2017 by applying both quantitative and qualitative methods.Two flood-prone villages were selected for a survey;one in a rural area and the other in a suburban area of Thua Thien Hue Province,central Vietnam.The findings indicate that most villagers doubted the structural works’efficacy and were dissatisfied with the current efforts of local authorities.Households’self-preparation thus became the decisive factor in mitigating risk.While most households have paid greater attention to flood precautions in 2017,others seem to be lagging.Poverty-related barriers were the root causes restraining households in both rural and suburban villages.The suburban riverine residents were further identified as vulnerable by their limitations in upgrading structural measures,which was ascribed to the inconsistency in the ancient town’s preservation policy.This multidimensional comparison,in terms of vulnerability,emphasized the importance of space-function links in the suburb and the contradictions of different policy initiatives,such as landscape rehabilitation,disaster prevention,and livelihood maintenance.