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Detection of membrane fission in single Bacillus subtilis cells during endospore formation with high temporal resolution
Get PDFMalignancy‐associated ischemic stroke : implications for diagnostic and therapeutic workup
Get PDFBackground:
Patients with malignancies have an increased risk of suffering ischemic stroke via several mechanisms such as coagulation dysfunction and other malignancy-related effects as well as iatrogenic causes. Moreover, stroke can be the first sign of an occult malignancy, termed as malignancy-associated ischemic stroke (MAS). Therefore, timely diagnostic assessment and targeted management of this complex clinical situation are critical.
Findings:
Patients with both stroke and malignancy have atypical ages, risk factors, and often exhibit malignancy-related symptoms and multiple lesions on neuroimaging. New biomarkers such as eicosapentaenoic acid and blood mRNA profiles may help in distinguishing MAS from other strokes. In terms of treatment, malignancy should not be considered a contraindication, given comparable rates of recanalization and complications between stroke patients with or without malignancies.
Conclusion:
In this review, we summarize the latest developments in diagnosing and managing MAS, especially stroke with occult malignancies, and provide new recommendations from recently emerged clinical evidence for diagnostic and therapeutic workup strategies
The relationship between psychopathy and autism : a systematic review and narrative synthesis
Get PDFBackground and methods:
The aim of this systematic review was to synthesise research examining the relationship between autism and psychopathy to: (a) better understand the relationship between these two constructs, and (b) describe the clinical manifestation of the two when they co-occur. A systematic search of the literature returned 36 studies.
Results:
Across all ages, autistic individuals and those with elevated autistic traits but no autistic diagnoses appeared to have increased callous and unemotional traits or psychopathy relative to the general population. Several studies evidenced that although both constructs are associated with empathetic dysfunction, the underlying mechanisms differ. In adults, psychopathy/psychopathic traits were associated with diminished affective empathy and intact cognitive empathy, whilst the opposite was seen autistic adults and those with elevated autistic traits. In children, those with autistic traits or a diagnosis of autism had diminished cognitive empathy, but not affective empathy, while the relationship between callous and unemotional traits/psychopathy and empathy amongst children was less clear. The co-occurrence of autism and psychopathy was seen to lead to additional empathic and cognitive impairment, but findings were mixed making it challenging to clearly describe the clinical manifestation.
Conclusion:
There remains a paucity of research investigating the interaction between autism and psychopathy and included studies were characterised by multiple measurement difficulties. Attention should be directed toward developing better methods for identifying psychopathic traits in autistic individuals to advance our understanding of the relationship between autism and psychopathy to allow for the development of appropriate care pathways for this population.
Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/ display_record.php?RecordID=413672, identifier CRD42023413672
Run-time introspection of 2D object detection in automated driving systems using learning representations
Get PDFReliable detection of various objects and road users in the surrounding environment is crucial for the safe operation of automated driving systems (ADS). Despite recent progresses in developing highly accurate object detectors based on Deep Neural Networks (DNNs), they still remain prone to detection errors, which can lead to fatal consequences in safety-critical applications such as ADS. An effective remedy to this problem is to equip the system with run-time monitoring, named as introspection in the context of autonomous systems. Motivated by this, we introduce a novel introspection solution, which operates at the frame level for DNN-based 2D object detection and leverages neural network activation patterns. The proposed approach pre-processes the neural activation patterns of the object detector’s backbone using several different modes. To provide extensive comparative analysis and fair comparison, we also adapt and implement several state-of-the-art (SOTA) introspection mechanisms for error detection in 2D object detection, using one-stage and two-stage object detectors evaluated on KITTI and BDD datasets. We compare the performance of the proposed solution in terms of error detection, adaptability to dataset shift, and, computational and memory resource requirements. Our performance evaluation shows that the proposed introspection solution outperforms SOTA methods, achieving an absolute reduction in the missed error ratio of 9% to 17% in the BDD dataset
Observation of WZγ Production in pp Collisions at √s=13 TeV with the ATLAS Detector
Get PDFThis Letter reports the observation of WZγ production and a measurement of its cross section using 140.1±1.2 fb−1 of proton-proton collision data recorded at a center-of-mass energy of 13 TeV by the ATLAS detector at the Large Hadron Collider. The WZγ production cross section, with both the W and Z bosons decaying leptonically, pp→WZγ→
ℓ′±νℓ+ℓ−γ (ℓ(′)=e, μ), is measured in a fiducial phase-space region defined such that the leptons and the photon have high transverse momentum and the photon is isolated. The cross section is found to be
2.01±0.30(stat)±0.16(syst) fb. The corresponding standard model predicted cross section calculated at next-to-leading order in perturbative quantum chromodynamics and at leading order in the electroweak coupling constant is 1.50±0.06 fb. The observed significance of the
WZγ signal is 6.3σ, compared with an expected significance of
5.0
Crime hallmark nexus between tourism support and destination : empirical standpoint of social control theory
No full textThe focus of the study is on types of crime and their relationship with tourism destinations and tourism support among northern tourist areas. The main objective of the study was to shed light on the types of crime and their association with tourism destinations and tourism support with the framework of the social control theoretical model (inner and outer control). Face-to-face quantitative data was collected from (n=501) respondents. The study analyzed data with partial least squares structural equation modeling (PLS-SEM version 4). The path analysis showed that crimes against persons, property, and victimless crime significantly decreased tourism support. A similar phenomenon, such as crimes against person and property, decreased tourism destinations, and victimless crime was insignificant. Based on the study’s findings, the results concluded that types of crime have made unsuccessful tourism support and tourism destination in the northern region. The study put forward recommendations to policymakers that criminal activities should be controlled through crime control systems among different tourist destinations in northern areas
Positive digital practices : supporting positive learner identities and student mental wellbeing in technology-enhanced higher education
Get PDFEmbedding mental wellbeing in learning is a priority for the UK Higher Education sector, as increasing numbers of students disclose mental health difficulties, challenges and conditions. Technology-enhanced, distance and blended learning is uniquely positioned to make a change for good in the sector; it can provide alternatives to traditional education models, support hard-to-reach students and make positive changes to practice. However, to make positive change, it needs to address the barriers to mental health that are inherent throughout education, and embed student wellbeing throughout its practices, cultures and digital environments.
The Positive Digital Practices project aims to scale up existing work on mental wellbeing in technology-enhanced learning, creating resources to support practitioners in three focus areas:
Positive Learner Identities – supporting students’ emotional awareness, reflection, resilience in adversity and wellbeing literacy;
Positive Digital Communities – supporting students’ sense of belonging and facilitating meaningful connections that do not rely on a campus environment;
Positive Digital Pedagogies – creating and sharing pedagogical practices that support mental wellbeing.
In this paper, we present baseline data from staff and students on perceptions of barriers and enablers to student mental wellbeing, and we explore examples of positive practice from the Positive Learner Identities work area. We present the participatory co-creation methodologies used, the resources created, and we discuss how these can be applied by practitioners. These resources are a call to action for post-secondary practitioners to work together to enhance student mental health and wellbeing, and make education a more inclusive, equitable experience
The photospheres of the hottest fastest stars in the Galaxy
Get PDFWe perform nonlocal thermodynamic equilibrium (NLTE) model atmosphere analyses of the three hottest hypervelocity stars (space velocities between ≈1500–2800 km s−1) known to date, which were recently discovered spectroscopically and identified as runaways from Type Ia supernovae. The hottest of the three (J0546+0836, effective temperature Teff = 95 000 ± 15 000 K, surface gravity lo
Are environmental concerns deterring people from having children? Longitudinal evidence on births in the UK
Get PDFDo ‘green’ environmental concerns – such as about biodiversity, climate change, pollution – deter citizens from having children? This paper reports the first longitudinal evidence consistent with that increasingly discussed hypothesis. It follows through time a random sample of thousands of initially childless men and women in the UK. The paper shows that those individuals who are committed to a green lifestyle are found to be substantially less likely to go on later to have offspring. Probit and Weibull survival models are estimated. The results are robust to controlling for people's age, education, income, marital status, mental health, life satisfaction, optimism, and physical health. The paper's key estimated effect-size is substantial. A person entirely unconcerned about environmental behaviour is estimated to be just over 50% more likely to go on to have a child than a deeply committed environmentalist