Titlebook: Security, Disinformation and Harmful Narratives: RT and Sputnik News Coverage about Sweden; Maria Hellman Book‘‘‘‘‘‘‘‘ 2024 The Editor(s)

原諒

Simultaneous EEG-fMRI,e technique for the study of human brain function. However, it remains many challenges such as the low signal-to-noise ratio, poor individual comfort, and difficulty in data analysis. In this chapter, we first introduce the hardware of simultaneous EEG-fMRI system. Then a review about the advance of

花爭(zhēng)吵

Wireless Communication Technologies for Mobile Healthcare Applications: Experiences and Evaluation othcare services provided by medical centers of excellence, home care, and continuity of care. This requires the provision of personalized healthcare services based on best practices and evidence-based medicine.

重力

Stress, the Immune System, and Healthy Ageingns. Negative psychological factors such as stress and depression can worsen immunity, and in some cases, this is particularly the case among older adults. However, there are also positive psychological factors that have been shown to relate to positive immune and health outcomes. This chapter outlin

averse

Merging Local Content and Women’s Economic Empowerment in Tanzania’s Extractive Industriestion of new opportunities for women in Tanzania’s oil, gas and mining industries. Local content and economic empowerment are often seen as separate areas of public policy in Tanzania; however, they can be brought together to provide the skills and experience necessary to participate in the industry

圍裙

Semantic Integration of Process Models into Knowledge Management: A Social Tagging Approachf process models into knowledge management are described, focusing on the perspective of knowledge work. The paper argues that Social Tagging as a means for semantic content description can fulfil these requirements. Furthermore, an approach of integrating process models into knowledge management and its implementation are shown.

擁護(hù)

犬儒主義者

Memorial

Substitution

PUT

An Optimization Strategy for Efficient Facial Landmark Detection Based on Improved Pixel-in-Pixel Neselecting a better network. Compared with MobileNetV2, Resnet18, Resnet50, and Resnet101, NME of MobileNetV2_re in PIPNET is reduced by about 14.07%, AUC of MobileNetV2_re in PIPNET is increased by about 7.52%, and it shows higher accuracy in efficient facial landmark detection.