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The Internet of Things (IoT) is expected to transform the way we live, work, and learn. Using IoT could thus be a game-changer for municipalities towards sustainability. The Swedish municipality of Södertälje strives to develop IoT concepts and use open data for a sustainable and inclusive society. The goal of this study was to explore how IoT can enable route optimization and placement planning for increased operational efficiency. The goal was also to enhance the knowledge of the environmental and social benefits of IoT systems in the waste collection system in Södertälje. The analysis is based on Life Cycle Assessment (LCA) and interviews. The results show a minor climate change impact for the IoT solutions in the overall smart waste collection system. The major climate impact contributor was instead associated with the trash bags used. Additionally, the study showed that the performance of the system relies on smart planning of the operations and the transportations.

Research on students' perceptions and understanding of technology has shown that students have a narrow view of technology: for example, technology is often manifested in students' descriptions as artefacts or objects. This study investigates the ways in which students' understanding of how technology is manifested expands during a series of classroom activities in technology. The study was conducted at a compulsory primary school with eight-year-old students. The data (video and audio recordings) were collected in small-group interactions and in whole-class discussions. In the interactions, the students utilised self-taken photographs to visualise their understanding and perception of technology's manifestations: object, activity, volition, and knowledge (Mitcham in Thinking through technology. The path between engineering and philosophy, The University of Chicago Press, 1994). Based on their prior knowledge, the students perceived technology as contemporary electrical artefacts. As they engage in a technology project, they develop and expand their understanding of how technology is manifested, as well as relate different manifestations to one another. The findings indicate that students achieve a more advanced understanding of technological manifestations compared to only discussing each manifestation of technology separately.

Abstract Identifying cell types and brain regions critical for psychiatric disorders and brain traits is essential for targeted neurobiological research. By integrating genomic insights from genome-wide association studies with a comprehensive single-cell transcriptomic atlas of the adult human brain, we prioritized specific neuronal clusters significantly enriched for the SNP-heritabilities for schizophrenia, bipolar disorder, and major depressive disorder along with intelligence, education, and neuroticism. Extrapolation of cell-type results to brain regions reveals the whole-brain impact of schizophrenia genetic risk, with subregions in the hippocampus and amygdala exhibiting the most significant enrichment of SNP-heritability. Using functional MRI connectivity, we further confirmed the significance of the central and lateral amygdala, hippocampal body, and prefrontal cortex in distinguishing schizophrenia cases from controls. Our findings underscore the value of single-cell transcriptomics in understanding the polygenicity of psychiatric disorders and suggest a promising alignment of genomic, transcriptomic, and brain imaging modalities for identifying common biological targets.

Abstract Background Autism is associated with alterations of social communication, such as during face-to-face interactions. This study aimed to probe face processing in autistics with normal IQ utilizing magnetoencephalography to examine event-related fields within the fusiform gyrus during face perception. Methods A case–control cohort of 22 individuals diagnosed with autism and 20 age-matched controls (all male, age 29.3 ± 6.9 years) underwent magnetoencephalographic scanning during an active task while observing neutral faces, face-like pareidolic objects, and non-face objects. The fusiform face area was identified using a face localizer for each participant, and the cortical activation pattern was normalized onto an average brain for subsequent analysis. Results Early post-stimulus activation amplitudes (before 100–200 ms) indicated differentiation between stimuli containing fundamental facial features and non-face objects in both groups. In contrast, later activation (400–550 ms) differentiated real faces from both pareidolic and non-face objects across both groups and faces from objects in controls but not in autistics. There was no effect of autistic-like traits. Conclusions The absence of group differences in early activation suggest intact face detection in autistics possessing a normal IQ. Later activation captures a greater degree of the complexity and social information from actual faces. Although both groups distinguished faces from pareidolic and non-face objects, the control group exhibited a slightly heightened differentiation at this latency, indicating a potential disadvantage for autistics in real face processing. The subtle difference in late-stage face processing observed in autistic individuals may reflect specific cognitive mechanisms related to face perception in autism.

The diagnosis, treatment, and management of gynecologic malignancies benefit from both positron emission tomography/computed tomography (PET/CT) and MRI. PET/CT provides important information on the local extent of disease as well as diffuse metastatic involvement. MRI offers soft tissue delineation and loco-regional disease involvement. The combination of these two technologies is key in diagnosis, treatment planning, and evaluating treatment response in gynecological malignancies. This review aims to assess the performance of PET/MRI in gynecologic cancer patients and outlines the technical challenges and clinical advantages of PET/MR systems when specifically applied to gynecologic malignancies.

Abstract Purpose To study the trend of delayed sequential bilateral cataract surgery (DSBCS) in Sweden in the past decade. Methods This register-based cohort study utilized data from the Swedish National Cataract Register (NCR) from 2010 through 2019. Register files from patients who underwent cataract surgery in both eyes during the study period were linked using their social security numbers. Bilateral surgeries on different days were classified as DSBCS. The study investigated the association between DSBCS within 3 months and several variables with stratification and multivariate logistic regression. The following variables were used: operation year, region, private or public unit, age, sex, indication for surgery, type of intraocular lens (IOL), preoperative visual acuity, ocular comorbidity, posterior capsule rupture and perioperative difficulties. Results During the study period, 368,106 patients underwent DSBCS, of which 62.6% (n = 230,331) had bilateral surgery within 3 months. The median time between the surgeries was 61 days (interquartile range 26–161 days), showing regional variations. Better visual acuity in the fellow eye, presence of ocular comorbidity, various perioperative events and complications were associated with longer time to surgery of the second eye. Conversely, cataract surgery in more recent years, private clinic, increasing age, anisometropia and multifocal IOL were associated with shorter timespan between surgeries. Conclusions The majority of DSBCS were conducted within a 3-month timeframe, with the interval between surgeries decreasing throughout the study period. Several rational factors were associated with the time difference, in addition to regional variations. Many patients would probably benefit from less time between the surgeries, and we encourage a clinical practice taking the whole patient’s visual function into account.

Abstract Multiple neural mechanisms underlying gating to working memory have been proposed with divergent results obtained in human and animal studies. Previous findings from non-human primates suggest prefrontal beta frequency bursts as a correlate of transient inhibition during selective encoding. Human studies instead suggest a similar role for sensory alpha power fluctuations. To cast light on these discrepancies we employed a sequential working memory task with distractors for human participants. In particular, we examined their whole-brain electrophysiological activity in both alpha and beta bands with the same single-trial burst analysis earlier performed on non-human primates. Our results reconcile earlier findings by demonstrating that both alpha and beta bursts in humans correlate with the filtering and control of memory items, but with region and task-specific differences between the two rhythms. Occipital beta burst patterns were selectively modulated during the transition from sensory processing to memory retention whereas prefrontal and parietal beta bursts tracked sequence order and were proactively upregulated prior to upcoming target encoding. Occipital alpha bursts instead increased during the actual presentation of unwanted sensory stimuli. Source reconstruction additionally suggested the involvement of striatal and thalamic alpha and beta. Thus, specific whole-brain burst patterns correlate with different aspects of working memory control.

Abstract Structural- and functional heterogeneity, as well as allosteric regulation, in homo-monomeric enzymes is a highly active area of research. One such enzyme is human nuclear-associated deoxyuridine 5’-triphosphate nucleotidohydrolase (dUTPase), which has emerged as an interesting drug target in combination therapy with traditional nucleotide analogue treatment of cancer. We report, for the first time, a full structural dynamics study of human dUTPase by NMR. dUTPase has been investigated in terms of structural dynamics in its apo form, in complex with the modified substrate resistant to hydrolysis, 2’-deoxyuridine 5’-α,β-imido-triphosphate (dUpNHpp), as well as the product, 2’-deoxy-uridine-monophosphate (dUMP). The apo form of the enzyme displayed slow dynamics in the milli- to microsecond regime in relaxation dispersion experiments, which was further slowed down to observable heterogeneity upon substrate-analogue binding. The results suggest that the non-hydrolysable substrate-analogue traps the enzyme in the conformational isomerization step that has been previously suggested to be part of the enzyme catalysis kinetics cycle. The observed heterogeneity fits well with the pattern expected to emerge from the suggested kinetic model, and no evidence for homotropic allosterism was found. The heatmaps of the slow dynamics, chemical shift perturbation upon substrate binding and conserved regions of the enzyme sequence all displayed a similar pattern, which suggests that the structural dynamics is finely tuned and important for the biological function of the enzyme for binding, conformational shift, catalysis and substrate release.

Abstract The social risks of green energy transition are underexplored. One of the important questions is which materials used in green energy technologies offer the greatest social benefits, such as ensuring decent living conditions, and which pose the most social risks. To address this issue, we develop a dynamic material-energy flow model integrating system dynamics, social life cycle assessment, and geometallurgical approaches. The analysis focuses on critical materials: Rare Earth Elements, Nickel, Silicon, Graphite, Magnesium, Gallium, Germanium, Indium, Aluminum, Cobalt, Lithium, Zinc, and Tellurium used in wind turbines, electric vehicles, lithium-ion batteries and solar photovoltaic panels. We assess their social impact on work safety, gender equality, informal employment, labor income share, employment rate, and child labor—key issues addressed by Sustainable Development Goals 1, 5, and 8. Here we show that Aluminum production for electric vehicles, wind turbines and solar photovoltaic panels generates the most jobs and income opportunities, while extraction of Cobalt, Lithium, Silicon, and Zinc carry the highest social risks.

Background: Tenecteplase is increasingly used off-label as an alternative to alteplase for ischemic stroke thrombolysis. Our aim was to evaluate the safety of tenecteplase versus alteplase in comprehensive real-world data. Methods: We compared the outcomes for adult patients with acute ischemic stroke treated with alteplase or tenecteplase, registered in the Swedish Stroke Register between January 1, 2018 and December 31, 2020. The primary outcome was symptomatic intracerebral hemorrhage or death during hospital stay. Secondary outcomes were death within 90 days, modified Rankin Scale at 90 days, and mean door-to-needle time (DNT). Results: There were no significant differences in age or risk factors between 6,560 patients (45% women, mean age 74) treated with alteplase and 888 patients (43% women, mean age 74) treated with tenecteplase, although tenecteplase was more commonly used in non-university hospitals, hospitals with high use of thrombolysis, and in wake-up strokes. Tenecteplase was not non-inferior compared to alteplase in terms of symptomatic intracerebral hemorrhage or death during hospital stay (13.2% vs. 10.7%, absolute risk difference [95% confidence interval, CI] 2.5% [0.1 to 4.9%], adjusted odds ratio 1.44 [1.07–1.94]). There were no significant differences in functional outcome or death at 90 days, but tenecteplase was associated with decreased DNT (mean difference 9 min). Conclusion: Tenecteplase was not non-inferior in safety outcome, although associated with decreased DNT. As accumulating randomized controlled studies support the non-inferiority of tenecteplase regarding functional outcome, it is important to keep scrutinizing the safety outcomes.

This study seeks to understand how children express themselves socially and emotionally in play negotiations in early childhood education and care (ECEC) settings. It addresses the following research questions: What strategies do children employ in play negotiations? How do these strategies manifest themselves socially and emotionally? The study was conducted in eight ECEC centers and one preschool located in Swedish-speaking regions of Finland. The target group consisted of children aged 3-6. Data were collected through video observations that captured children's social interactions and engagement with their peers during free play. A multimodal interaction analysis approach was employed to identify a prominent category termed "exclusion", which refers to how children employ strategies (e.g., fantasy and fiction) to limit the participation of other children in play negotiations. The results of this study contribute to our understanding of children's complex play negotiations and highlight the significance of addressing their social and emotional development in these contexts.

Sex education can be described as an important part of health education in school and one way of strengthening health education could be a collaboration between different professionals in the school team. The aim of this study was to describe teachers' and school nurses' experiences and perspectives with regard to sex education among students aged 11-12 years and to explore potential influencing factors. We employed a qualitative design, and the teachers and school nurses were interviewed individually. A thematic analysis was conducted on the interviews and the results showed that the classroom was considered to be the teacher's arena. Tradition and attitudes between professionals could be obstacles that affect collaboration between teachers and nurses and the study showed that there remains much to be done before collaboration at the same level between the groups can be established.