19684 research outputs found
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Gen Z Hybristophilia:The Role of TikTok in Young Women’s Attraction to Deviant Men
No full textThis research explores hybristophilia (an individual’s sexual interest in and attraction to those who commit crimes) among Generation Z women, particularly through investigating how Gen Z female users interact with and feel about hybristophilic content and how this content impacts their attraction to offenders. Study 1 involved a content analysis of 66 videos and 91 comments on TikTok, identifying seven main themes: The Halo Effect, ActorOffender Transference, Sympathy, Romance and APD, Protection and Loyalty, “I Can Fix Him”, Gen Z Irony, and Victim Fantasy. Study 2 used a cross-sectional survey with 95 women aged 18-27 to measure exposure to and engagement with hybristophilic content, hybristophilia scores, dark personality traits, and empathy levels. The results indicate that participants’ engagement with hybristophilic TikTok content positively predicted their hybristophilia scores, which were also predicted by Machiavellianism and psychopathy. These findings highlight the need for targeted interventions to mitigate the influence of digital content on young women’s perceptions of offenders, addressing the influence of power dynamics associated with Machiavellianism and psychopathy. Moreover, they provide a solid foundation for future research and clinical practice regarding hybristophilia, with the proposed Hybristophilia Scale being a promising tool for use in clinical settings upon further validation
Performance and emissions characteristics of hydrogen-diesel dual-fuel combustion for heavy-duty engines
No full textThis study investigates hydrogen-diesel dual-fuelling specifically for a modern 4.4L 4-cylinder heavy-duty diesel engine using extensive one-dimensional combustion modelling in Ricardo WAVE. Parametric analyses from 900 to 2200 rpm speeds and 0 to 17.5% hydrogen fractions introduced via port injection are undertaken to assess the effect of exhaust gas recirculation (EGR) for controlling NOx. Moreover, impacts on key indicators like brake power, torque, thermal efficiency, and emissions are also evaluated. Results revealed that the benefits of hydrogen enrichment are highly dependent on operating conditions. At speeds above 1700 rpm and hydrogen mass fraction of 17.5% remarkable gains were attained, increasing brake power and torque by up to 17% and 16.5% respectively. Brake-specific diesel consumption (BSDC) improves by 29% at higher speeds due to hydrogen's larger energy content. NOx emissions display a trade-off, decreasing substantially by 96% at lower speeds but increasing by 43% at 2200 rpm with 17.5% hydrogen
On fault-tolerant Boolean functions in proteinoids–ZnO colloids
No full textThis study investigates the computational properties of ZnO colloids in combination with proteinoid microspheres within an unconventional computing framework. We propose a method for creating flexible and fault-tolerant logic gates utilising this colloidal system. The colloidal matrix receives binary strings with an electrical impulse representing a logical “True” and its absence representing a “False”. Electrical responses are recorded, and Boolean functions are extracted. This nano-bio hybrid of ZnO colloids and proteinoids has the potential to power next-generation unconventional computing systems that can adapt to changing environments, paving the way for novel nano-bio hybrid computing architectures
A Meta-Learning Method for Few-Shot Multidomain State-of-Health Estimation of Lithium-Ion Batteries
Get PDFDiverse electrochemical characteristics and complex operational conditions of the lithium-ion battery cause multidomain discrepancies in practical applications, which poses huge challenges to the robust state-of-health (SOH) estimation based on small samples. This article proposes a novel meta-learning method for few-shot multidomain battery SOH estimation using relaxation voltages (RVs). First, a convolutional neural network (CNN)-Attention-based parallel network is developed to enhance the extraction of transferable health features across multiple domains. Second, the loss interaction difference of multiple target domain tasks is proposed to improve the meta-learning method for comprehensive task judgment. Finally, the cross-domain validation is conducted on two types of batteries operating under three working temperatures. The results reveal that the proposed method can provide higher estimation accuracy compared to state-of-the-art network architectures. By only using six cycles from one target battery, it achieves lower average root-mean-square error (RMSE) and mean absolute error (MAE) of 2.28% and 1.79% for NCA batteries and 1.38% and 1.14% for NCM batteries, outperforming traditional methods without pretraining and transfer learning (TL)
Deep-learning-enabled single-shot high-frequency color fringe projection profilometry based on dual inner shifting-phase method
No full textIt is still a challenge to correctly retrieve the absolute phase from a high-frequency fringe pattern in a single-shot. To address this issue, a dual inner shifting-phase method is proposed by decomposing the fringe step order number into the product of two smaller step order numbers to overcome the fault-prone problem of step order solution by the existing single inner shifting-phase method. A U-Net model is utilized to train on mixed-frequency dual inner shifting-phase fringe datasets to extract six sinusoidal feature fringes rather than absolute phases to enhance the generalization ability of the DL-CFPP. The proposed method achieves a high phase unwrapping success rate of over 99% for high frequency fringe up to 100 periods, and accurate 3D shape reconstruction across various fringe frequencies using only one trained model even with fringe frequencies not included in the training dataset. Experiments in measuring dynamic objects verified the proposed technique’s advantages of robust 3D shape reconstruction with high-frequency fringe
London Short Film Festival 2025 : The Last Invention:We Made Telephones
No full textPremiere of WE MADE TELEPHONES at Curzon Cinemas with Q&A from director Ben Young as part of London Short Film Festival 2025's official selection
Barriers and facilitators to increasing physical activity in medium secure mental health settings:An exploration of staff perceptions
No full textPurposeThe benefits of physical activity for people with severe mental illness (SMI) is widely recognised but for those in medium secure settings there are additional environmental barriers to being active that have not been fully explored. The aim of this study was to explore the perceived barriers and facilitators from the perspective of staff within the medium secure setting.MethodSemi-structured focus groups were conducted with qualified and unqualified staff (n = 24) across two UK medium secure NHS settings. Michie's COM-B framework was used to inform the topic guide and the analysis of the data.ResultsThe opportunities to be active in medium secure settings depend not only on access to facilities but also staff availability and willingness to support such activities. When an individualised approach is taken, and staff are skilled and motivated to support such activities then it is possible for people with SMI in medium secure settings to be physically active.ConclusionPeople with SMI in secure settings have reduced autonomy to increase their own physical activities but it was suggested that with the appropriate opportunities and the motivation of staff their capability to be active could be enhanced
Propagation trends of cracks situated in bogie frames based on a rigid-flexible coupled vehicle dynamic model
No full textThe bogie frame of high-speed electric multiple units in China is subjected to more complex fatigue loads, significantly increasing the risk of fracture. However, current research lacks a comprehensive dynamic model that accounts for the presence of cracks in the flexible bogie frame within a rigid-flexible coupled vehicle system. To address this gap, this study develops a novel rigid-flexible coupled vehicle dynamic model to investigate the fracture behaviour of bogie frames with cracks. The motion equations of the vehicle model, incorporating crack effects, are firstly derived and validated for accuracy and effectiveness. Numerical results reveal that Mode-II fracture mode primarily governs crack propagation at all critical positions studied. It is observed that during vehicle operation, the maximum dynamic energy release rate generally increases with crack size, with the peak value shifting to different points along the crack front. Among the three critical positions examined, when a single crack is present, the crack at the curved area of the top cover plate exhibits a higher likelihood of propagation. In scenarios where two cracks are present, the crack located at the gearbox suspender seat is more prone to propagation.</p
Decoding cargo bikes’ potential to be a sustainable last-mile delivery mode:an operations management perspective
No full textCargo bikes are considered as a low-cost and flexible last-mile solution for the transport of goods. However, there are few studies that identify and contextualise the factors underpinning their sustainable operations and potential to effectively work as the last leg of a green, efficient, and societally beneficial supply chain. The authors addressed this gap by systematically collecting and thematically analysing 49 articles published between 2017 and 2023. The findings demonstrate that cargo bikes can utilise their potential as a sustainable last-mile delivery mode if: (a) their operations are optimised (from parking to routing and from traffic management to load capacity planning); (b) their social sustainability performance is enhanced (e.g. safety, security, fatigue of workforce); and (c) the cities hosting them invest in bike-friendly infrastructure, regulatory frameworks, land use approaches and mobility hubs. This paper offers cargo bike insights that can assist relevant stakeholders to enhance their efficiency and overall adoption.</p
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