Face anti-spoofing based on weighted neighborhood pixel difference pattern

2021 ◽  
Vol 30 (03) ◽  
Author(s):  
Xin Shu ◽  
Kun Xia ◽  
Hui Pan ◽  
Lei Pan ◽  
Ming Zhang
Keyword(s):  
Author(s):  
Melissa Gabbs ◽  
Peter Zahradka ◽  
Carla G Taylor ◽  
Harold M Aukema

ABSTRACT Background Differences in health effects of dietary α-linolenic acid (ALA) and DHA are mediated at least in part by differences in their effects on oxylipins. Objectives Time course and sex differences of plasma oxylipins in response to ALA- compared with DHA-rich supplements were examined. Methods Healthy men and women, aged 19–34 y and BMI 18–28 kg/m2, were provided with capsules containing ∼4 g/d of ALA or DHA in a randomized double-blind crossover study with >6-wk wash-in and wash-out phases. Plasma PUFA and oxylipin (primary outcome) concentrations at days 0, 1, 3, 7, 14, and 28 of supplementation were analyzed by GC and HPLC-MS/MS, respectively. Sex differences, supplementation and time effects, and days to plateau were analyzed. Results ALA supplementation doubled ALA concentrations, but had no effects on ALA oxylipins after 28 d, whereas DHA supplementation tripled both DHA and its oxylipins. Increases in DHA oxylipins were detected as early as day 1, and a plateau was reached by days 5–7 for 11 of 12 individual DHA oxylipins and for total DHA oxylipins. Nine individual DHA oxylipins reached a plateau in females with DHA supplementation, compared with only 4 in males. A similar time course and sex difference pattern occurred with EPA and its oxylipins with DHA supplementation. DHA compared with ALA supplementation also resulted in higher concentrations of 4 individual arachidonic acids, 1 linoleic acid, and 1 dihomo-γ-linolenic acid oxylipin, despite not increasing the concentrations of these fatty acids, further demonstrating that oxylipins do not always reflect their precursor PUFA. Conclusions DHA compared with a similar dose of ALA has greater effects on both n–3 and n–6 oxylipins in young, healthy adults, with differences in response to DHA supplementation occurring earlier and being greater in females. These findings can help explain differences in dietary effects of ALA and DHA. This study was registered at clinicaltrials.gov as NCT02317588.


2000 ◽  
Vol 484 (1-2) ◽  
pp. 43-50 ◽  
Author(s):  
B Guberina ◽  
B Melić ◽  
H Štefančić
Keyword(s):  

2013 ◽  
Vol 7 (7) ◽  
pp. 747-754 ◽  
Author(s):  
Paolo Rocca ◽  
Massimo Donelli ◽  
Giacomo Oliveri ◽  
Federico Viani ◽  
Andrea Massa

2017 ◽  
Vol 10 (1) ◽  
pp. 42
Author(s):  
Sutjipto Ngumar ◽  
Ikhsan Budi Riharjo

The purpose of this research is to dig information about factors that influence decision to invest in an area. The digging information is about service model and conducive invesment facilities in the business world.Data processing was conducted by comparing service and license between Licencing Department and Capital Investment that have not conducted One Stop Service, and respondents’ response to service and licence in those five regencies/ sities.The result of the research shows that there is a difference pattern and licencing service investment system in the regencies and cities in East Java Province. In fact, from 40 regencies and cities in East Java Province, there are five regions which form Licensing and Capital Investment Department with One Stop Service. The regencies and cities that are examined are Pasuruan Regency, Surabaya City, Gresik Regency, Sidoarjo Regency and Lamongan Regency, and there are only three regencies and cities that have not applied the policy of One Stop Service. They are Surabaya City, Gresik Regency and Lamongan Regency.Besides the efforts of increasing service in investment, investment climate is influenced by several factors, that is economic factors and non economics factor. Economic factors are export value, real income, foreign currency rate of exchange inflation, price level and credit availability. Meanwhile, non economic factors are political factor, law, security and social condition of the society. Therefore, there should be policy’s steps in order to optimize investment service in each region.


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