Filtyp
Background: Inhalation (Sniffing) of N2O among adolescents has increased in Sweden during recent years. Both neurological and thromboembolic consequences have been reported. This study aims to evaluate the association between a sensation-seeking personality and sniffing of N2O among students attending schools in Stockholm. Method: Students, 15–18 years old, from 77% of schools in Stockholm partici
Ecological degradation not only affects local and global environments but also threatens the cultural survival of affected societies, exemplifying the phenomenon known as the genocide–ecocide nexus. This article presents the first comparative case study of olive tree destruction in occupied Palestine and Afrin canton of Rojava, highlighting how ecocide serves as a deliberate strategy of cultural a
Modern real-time control systems can sporadically exceed the computation deadlines, which may lead to a deterioration in performance or even instability if not actively accounted for. This letter proposes a stochastic model predictive control approach that incorporates deadline miss probabilities of subsequent control task executions in a scenario tree. To account for the effect of missed deadline
We present a genome assembly from a female specimen of Podarcis bocagei (Bocage's wall lizard; Chordata; Lepidosauria; Squamata; Lacertidae). The assembly contains two haplotypes with total lengths of 1,615.19 megabases and 1,473.58 megabases. Most of the haplotype 1 assembly (97.72%) is scaffolded into 20 chromosomal pseudomolecules, including the W and Z sex chromosomes. Most of haplotype 2 (97.
Chants for Crown Prince Reza Pahlavi during Iran’s nationwide protests are not expressions of nostalgia but demands for political legitimacy and continuity. As Iran’s opposition remains fragmented and burdened by past violence, many Iranians increasingly look to institutional legitimacy rather than ideology. The article argues that legitimacy will be the decisive factor shaping Iran’s potential tr
We propose a multimodal deep learning framework for automated analysis ofcat–human communication, integrating acoustic, visual, and tactile signals throughtransformer-based fusion. Using the largest expert-annotated dataset of its kindand interdisciplinary collaboration, we combine semi-supervised learning withethological and phonetic expertise to detect subtle behavioural and phonetic cues,enableWe propose a multimodal deep learning framework for automated analysis ofcat–human communication, integrating acoustic, visual, and tactile signals throughtransformer-based fusion. Using the largest expert-annotated dataset of its kindand interdisciplinary collaboration, we combine semi-supervised learning withethological and phonetic expertise to detect subtle behavioural and phonetic cues,enable
Background: Markov models are models used to describe movement of individuals between states. In medicine, Markov models are used to describe, for example, disease progression and the effects of interventions on such progression. The models can further be used to identify medical risk groups and aid clinicians in clinical decision making. Although accurate individual predictions are crucial for ut
