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Transcranial magnetic stimulation in mental health care.

Tidsskr Nor Laegeforen

January 2025

Høgskolen Innlandet, og, Nasjonal kompetansetjeneste ROP, Sykehuset Innlandet.

Background: Transcranial magnetic stimulation (TMS), which is a neuromodulation therapy for psychiatric disorders, is not widely used in Norway. We aimed to investigate whether doctors in mental health care are familiar with and interested in the method, as well as the reasons for its limited use and the key factors required for its implementation.

Material And Method: An anonymous electronic survey questionnaire was distributed to all active members of the Norwegian Psychiatric Association in the autumn of 2022 (n = 1979), consisting of 484 specialty registrars and 1495 specialists.

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Previous research estimated a prevalence of 3.4% Cerebral Visual Impairment (CVI)-related visual problems within primary school children, potentially compromising students' performance. This study aimed to clarify how CVI-related visual difficulties relate to academic performance in standardized achievement tests.

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The yielding response to an imposed oscillatory shear is investigated for a model two-dimensional dense glass composed of bidisperse, deformable polymer rings, with the ring stiffness being the control parameter. In the quiescent glassy state, the more flexible rings exhibit a broader spectrum of shape fluctuations, which becomes increasingly constrained with increasing ring stiffness. Under shear, the highly packed rings yield, the thermal assembly loses rigidity, with the threshold yield strain increasing significantly with decreasing ring stiffness.

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Background: Malaria and anemia are significant public health concerns that contribute to child mortality in African. Despite global efforts to control the two diseases, their prevalence in high-risk regions like Nigeria remains high. Understanding socioeconomic, demographic, and geographical factors associated with malaria and anemia, is critical for effective intervention strategies.

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This study explores the evolving role of social media in the spread of misinformation during the Ukraine-Russia conflict, with a focus on how artificial intelligence (AI) contributes to the creation of deceptive war imagery. Specifically, the research examines the relationship between color patterns (LUTs) in war-related visuals and their perceived authenticity, highlighting the economic, political, and social ramifications of such manipulative practices. AI technologies have significantly advanced the production of highly convincing, yet artificial, war imagery, blurring the line between fact and fiction.

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