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Työntekijälähtöisen innovaation vaikutus työhyvinvointiin: Tapaus Vantaan Työllisyyspalvelut
"...siihen liittyi paljon pinnanalaista energiaa ja sanatonta viestintää, poissulkemista ja kyräilyä." Korkeakouluopiskelijoiden kokemuksia kiusaamisesta ja epäasiallisesta kohtelusta.
Identity-related factors and retention: Skilled foreign professionals in the hospitality industry
Alpha-aminobutyric acid administration suppressed visceral obesity and modulated hepatic oxidized PUFA metabolism via gut microbiota modulation
Background
High-fat diet (HFD) is associated with visceral obesity due to disruption in the lipid metabolism and gut dysbiosis. These symptoms may contribute to hepatic steatosis and the formation of oxidized polyunsaturated fatty acids (PUFAs). Alpha-aminobutyric acid (ABA) is an amino-acid derived metabolite, and its concentration has been correlated with several metabolic conditions and gut microbiome diversity while its direct effects on visceral obesity, lipid metabolism and the gut microbiota are not well understood. This study was designed to investigate the effect of physiological dose of ABA on diet-induced visceral obesity and lipid metabolism dysregulation by examining the fatty acids and oxidized PUFAs profile in the liver as well as the gut microbiota.
Results
ABA administration reduced visceral obesity by 28 % and lessened adipocyte hypertrophy. The expression of liver Cd36 was lowered by more than 50 % as well as the saturated and monounsaturated FA concentration. Notably, the desaturation index for C16 and C18 FAs that are correlated with adiposity were reduced. The concentration of several DHA-derived oxidized PUFAs were also enhanced. Faecal metagenomics sequencing revealed enriched abundance of Leptogranulimonas caecicola and Bacteroides sp. ZJ-18 and were positively correlated with several DHA- and ALA-derived oxidized PUFAs in ABA group.
Conclusion
Our study revealed the modulatory effect of physiological dose of ABA on attenuating visceral obesity, reducing hepatic steatosis, and promoting the production of anti-inflammatory oxidized PUFAs that were potentially mediated by the gut microbiota
Vapautta, vastuuta ja velvollisuutta raamien sisällä : henkilöstön ja johdon tulkinnat itseohjautuvuudesta ja resilienssistä suomalaisessa asiantuntijaorganisaatiossa
RT-A3C: Real-Time Asynchronous Advantage Actor-Critic for Optimally Defending Malicious Attacks in Edge-Enabled Industrial Internet of Things
The existing Asynchronous Advantage Actor–Critic (A3C) open-source training model can effectively recommend defense strategies for the edge-enabled Industrial Internet of Things (IIoT) under malware attacks. However, it faces challenges in rapidly countering large-scale IIoT network attacks. To address this issue, we develop an enhanced algorithm, RT-A3C, by innovatively integrating the A3C model into a real-time Markov game framework. This approach involves three key enhancements: incorporating prediction models, integrating adversary models, and optimizing state transition and action selection strategies. Such contributions collectively enhance the practicality and efficiency of IIoT security simulation training. The core innovation lies in converting the traditional turn-based Markov game into a real-time reactive one, showing the potential for policy optimization and strategic development in advanced IIoT network security. Through simulations, we demonstrate that the proposed RT-A3C algorithm surpasses the performance of the state-of-the-art actor–critic models. Our research clarifies that we can develop a more resilient and responsive IIoT security training model by merging real-time components with Markov games and A3C technology. This advancement significantly improves real-time monitoring and defense capabilities against large-scale IIoT network attacks, thereby strengthening the overall security of IIoT network systems