Filetype
We study applications of clustering (in particular the k-center clustering problem) in the design of efficient and practical deterministic algorithms for computing an approximate and the exact arithmetic matrix product of two 0-1 rectangular matrices A and B with clustered rows or columns, respectively. Let λA and λB denote the minimum maximum radius of a cluster in an ℓ-center clustering of the r
Good Behavior Game (GBG) is a school-based intervention designed to reduce conduct problems, while increasing on-task behavior and a positive classroom climate. Earlier studies have shown positive long-term effects in several outcomes, making GBG a promising method of universal prevention. This study evaluates the effectiveness of a translated and adapted version of GBG in a pragmatic, cluster-ran
This study compared and examined the electroencephalogram(EEG)-based driver inattention warning system with actual bus drivers in real-road environments. EEG and survey data were gathered from 20 professional bus drivers who drove their buses under the conditions in which the warning systems were turned on and off for 47 days. The analysis revealed that the ratio of the SMR-mid beta to theta(RSMT)
Despite significant efforts to reconstruct the Holocene glacial history in Scandinavia, evidence of glacier fluctuations in Sweden has mostly been limited to palaeoclimatic proxies, while dating of direct geological evidence from glacier forelands is still rare. This is the first study in Sweden that has attempted to fully reconstruct dynamics, chronology and palaeoclimate of a glacier throughout
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
