Effect of genistein and oestradiol on the adrenal cortex of the ovariectomised adult female albino rats

Background: Genistein, a naturally occurring soy isoflavone, attracts interest as an effective and safe alternative to hormone replacement therapy for menopausal problems. The aim of the current study was to compare between the effect of genistein and oestradiol on the adrenal cortex of the ovariectomised adult female albino rats. Materials and methods: Twenty rats were used in the current study and divided into four groups, 5 rats in each group; group 1 (control non-ovariectomised), group 2 (ovariectomised), group 3 (ovariectomised + genistein) and group 4 (ovariectomised + oestradiol). The rats were sacrificed after 4 weeks. Both adrenal glands were removed for light microscope using haematoxylin and eosin stain, ultrastructural study and immunohistochemical examination using proliferating cell nuclear antigen, caspase-3, and oestrogen receptor-b. Results: Ovariectomised rats showed signs of degeneration in all zones of adrenal cortex. On the other hand, treatment with genistein showed restoration of the adrenal cortex with less proliferative effect than oestradiol. Conclusions: So, genistein can be used as effective therapy to decrease the symptoms of menopause without fear of cancer development

Privacy preserving personal assistant with on-device diarization and spoken dialogue system for home and beyond

International audienceIn the age of personal voice assistants, the question of privacy arises. These digital companions often lack memory of past interactions, while relying heavily on the internet for speech processing, raising privacy concerns. Modern smartphones now enable on-device speech processing, making cloud-based solutions unnecessary. Personal assistants for the elderly should excel at memory recall, especially in medical examinations. The e-ViTA project developed a versatile conversational application with local processing and speaker recognition. This paper highlights the importance of speaker diarization enriched with sensor data fusion for contextualized conversation preservation. The use cases applied to the e-VITA project have shown that truly personalized dialogue is pivotal for individual voice assistants. Secure local processing and sensor data fusion ensure virtual companions meet individual user needs without compromising privacy or data security

AI-based media coding and beyond

MPAI-Moving Picture, Audio and Data Coding by Artificial Intelligence is the first body developing data coding standards that have Artificial Intelligence (AI) as its core technology. MPAI believes that universally accessible standards for AI-based data coding can have the same positive effects on AI as standards had on digital media. Elementary components of MPAI standards-AI Modules (AIM)-expose standard interfaces for operation in a standard AI Framework (AIF). As their performance may depend on the technologies used, MPAI expects that competing developers providing AIMs will promote horizontal markets of AI solutions that build on and further promote AI innovation. Finally, the MPAI Framework Licences provide guidelines to IPR holders facilitating the availability of compatible licences to standard users