Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 5

Year

2021 1

2018 1

2015 2

2012 1

Keywords

TV time 1

adolescents 1

behavioral footprints 1

breeding for quality 1

central nervous system infection 1

childhood obesity 1

eating habits 1

exercise 1

foxtail millet 1

free-living amoebae 1

grain quality 1

granulomatous amoebic encephalitis 1

habit learning 1

health behavior 1

healthy eating index 1

metabolic syndrome 1

percentage of body mass index 1

personalized robot 1

primary amoebic meningoencephalitis 1

quality evaluation 1

open ︾

Search scope:

排序： Display mode:

Analyzing the distinguishing factors that affect childhood obesity in South Korea

So Jung Yang, Hun-Sung Kim, Kun-Ho Yoon

Frontiers of Medicine 2018, Volume 12, Issue 6, Pages 707-716 doi: 10.1007/s11684-018-0660-x

Abstract: We analyzed the correlation between the percentage of body mass index and lifestyle habits by conducting

Keywords： screen time quality of life eating habits childhood obesity percentage of body mass index

HTML PDF Collect

Various brain-eating amoebae: the protozoa, the pathogenesis, and the disease

Frontiers of Medicine 2021, Volume 15, Issue 6, Pages 842-866 doi: 10.1007/s11684-021-0865-2

Abstract: Among various genera of free-living amoebae prevalent in nature, some members are identified as causative agents of human encephalitis, in which Naegleria fowleri followed by Acanthamoeba spp. and Balamuthia mandrillaris have been successively discovered. As the three dominant genera responsible for infections, Acanthamoeba and Balamuthia work as opportunistic pathogens of granulomatous amoebic encephalitis in immunocompetent and immunocompromised individuals, whereas Naegleria induces primary amoebic meningoencephalitis mostly in healthy children and young adults as a more violent and deadly disease. Due to the lack of typical symptoms and laboratory findings, all these amoebic encephalitic diseases are difficult to diagnose. Considering that subsequent therapies are also affected, all these brain infections cause significant mortality worldwide, with more than 90% of the cases being fatal. Along with global warming and population explosion, expanding areas of human and amoebae activity in some regions lead to increased contact, resulting in more serious infections and drawing increased public attention. In this review, we summarize the present information of these pathogenic free-living amoebae, including their phylogeny, classification, biology, and ecology. The mechanisms of pathogenesis, immunology, pathophysiology, clinical manifestations, epidemiology, diagnosis, and therapies are also discussed.

Keywords： free-living amoebae central nervous system infection primary amoebic meningoencephalitis granulomatous amoebic encephalitis

HTML PDF Collect

Foxtail millet: nutritional and eating quality, and prospects for genetic improvement

Lu HE,Bin ZHANG,Xingchun WANG,Hongying LI,Yuanhuai HAN

Frontiers of Agricultural Science and Engineering 2015, Volume 2, Issue 2, Pages 124-133 doi: 10.15302/J-FASE-2015054

Abstract: Here we review research on foxtail millet quality evaluation, appearance, cooking and eating quality

Keywords： foxtail millet grain quality quality evaluation breeding for quality

HTML PDF Collect

Joint association of physical activity/screen time and diet on CVD risk factors in 10-year-old children

Clemens Drenowatz, Joseph J. Carlson, Karin A. Pfeiffer, Joey C. Eisenmann

Frontiers of Medicine 2012, Volume 6, Issue 4, Pages 428-435 doi: 10.1007/s11684-012-0232-4

Abstract: The healthy eating index (HEI) was subsequently calculated as indicator for diet quality.

Keywords： exercise sedentary behavior metabolic syndrome health behavior adolescents TV time healthy eating index

HTML PDF Collect

Personalizing a Service Robot by Learning Human Habits from Behavioral Footprints Article

Kun Li, Max Q.-H. Meng

Engineering 2015, Volume 1, Issue 1, Pages 79-84 doi: 10.15302/J-ENG-2015024

Abstract: as predesigned tasks, because the robot needs to adjust the home state based on the operator's habitsAn operator's habits are composed of cues, behaviors, and rewards.in a house, and applies the inverse reinforcement learning technique to extract the operator's habitsThe result shows that the proposed approach allows the robot to reveal the operator's habits accurately

Keywords： personalized robot habit learning behavioral footprints