58622 research outputs found
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Dataset for "Investigating the Impact of Deformable, Movable and Rigid Surfaces on Force-Input Interactions"
This dataset supports the article "Investigating the Impact of Deformable, Movable, and Rigid Surfaces on Force-Input Interactions" (TOCHI, 2025). It comprises aggregated data from three controlled user studies (each with 28 participants). The studies systematically explore how surface compliance type—Deformable, Movable and Rigid— and surface stiffness affect user performance and experience in force input tasks. The dataset includes: • Task performance data, including force input selection and hold accuracy across different surface conditions. • Self-reported user data, including qualitative ratings and preferences. The data were collected to examine how the physical properties of different surfaces influence users' ability to perform force input tasks, along with their surface preferences. This dataset enables further analysis and may support new investigations into haptic interaction, input techniques, or the design of novel interfaces in human-computer interaction
Beyond the Classroom:Investigating Learning and Motivation among EFL Undergraduate Students in Indonesia
The increasing importance of English as a global lingua franca necessitates effective language learning strategies, particularly for EFL (English as a Foreign Language) students in Indonesia. This research explores the factors influencing English language acquisition among EFL undergraduate students at Universitas Persatuan Guru Semarang. Employing a quantitative research design, the study utilised an online survey to collect data from 43 students. It focused on their engagement with online learning platforms, participation in extracurricular activities, informal learning environments and motivational factors. The findings revealed that while students actively engaged with online resources, their participation in curricular activities was notably low, contrasting with existing literature emphasising the significance of age development. Furthermore, informal learning environments were recognised as valuable yet underutilised, and intrinsic and extrinsic motivations played a role. In conclusion, this study highlights the need for a more integrated approach to English language education that harmonises various learning contexts. The research contributes to the field by proposing the "Integrated Engagement Model for EFL Learning," which emphasises the interconnectedness of online resources, extracurricular activities, informal learning and motivation. By providing a new conceptual framework and methodological approach, this study offers valuable insights for educators and policymakers aiming to enhance language learning experiences and outcomes for EFL students in Indonesia
Toward a Scalable Linear-Cavity Enhanced Warm-Vapor Photonic Quantum Memory
The coherent storage, buffering and retrieval of photons in a quantum memory enables the scalable creation of photonic entangled states via linear optics and repeat-until success, unlocking applications in quantum communications and photonic quantum computing. Quantum memories based on off-resonant cascaded absorption (ORCA) in atomic vapors allow this storage to be broadband, noise free, and high efficiency. Here, we implement a cavity-enhanced ORCA memory with reduced footprint and reduced power requirements compared to conventional single-pass schemes. By combining a strong magnetic field with polarization control, we maintain a Doppler-free interaction and eliminate the need for optical pumping. Our design establishes the feasibility of large arrays of ultracompact, low-power, near-unit efficiency, noiseless quantum memories running at GHz bandwidth, without the need for atom trapping or cryogenics.</p
Examining Membership Across Multiple Online Communities in the ‘Manosphere’
Online communities are vast, complex spaces attracting diverse users, offering support and connection, but also spreading harmful content, including misogyny and extremism. Current research on online communities explores user roles and community structures within single communities. We extend this by examining engagement across multiple communities using over 4 million Reddit posts from 20 “subreddits” in the “manosphere”—an interconnected ecosystem of anti-feminist online communities. In summary, (1) users’ membership in the “manosphere” constitutes engagement with an array of communities, (2) we develop a measure of relative engagement (MRE) to show that users post unequally across their member communities, and (3) we explore the patterns of engagement across communities in the manosphere. We discuss how users navigate multiplicitous identity expressions across communities in the “manosphere” (as measured by MRE) and highlight the value of studying online community membership from a more holistic perspective for researchers, designers, and content moderators
An investigation into the thermal and hygric performance of bio-based wall systems
Renewable bio-based materials are emerging technologies within the construction industry, providing inventive solutions for reducing material waste and the carbon footprint of an inherently carbon-intensive sector. Previously they have been commonly investigated in isolation and there are a significant lack of case studies demonstrating the performance of bio-based materials in entire external wall designs. This study evaluates the thermal and hygric performance of five novel bio-based external wall systems, featuring highly innovative combinations of insulation, structural and façade materials. Large scale wall panels were designed, constructed and tested within a bespoke Large Environmental Chamber (LEC) to determine thermal performance and hygric behaviour using the heat flow method. Hygrothermal simulations with WUFI® Pro were conducted to assess condensation and mould risks. Insulation materials used were wood fibre, mycelium, sheep's wool and blown-in cellulose. Structural options were timber, Cross Laminated Timber (CLT) and also light-gauge steel, while facades were bio-based-polymeric composite material or bio-based treated timber cladding. Thermal transmittance and conductance were calculated along with time series analysis of temperature and relative humidity. The U-values of the five walls ranged from 0.13 W/m2K to 0.22 W/m2K and modelling simulations were in broad agreement with the practical results, with four of the five walls fulfilling an 0.18 W/m2K benchmark value based upon building regulations. The significance of the study is in the demonstration of the feasibility of a range of bio-based external wall designs, combining emerging material technologies, innovative design and building physics to contribute to the development of bio-based construction.</p
Twisted intramolecular charge transfer (TICT) based fluorescent probes and imaging agents
Twisted Intramolecular charge transfer (TICT)-based fluorescent probes are crucial in chemical sensing due to their sensitivity and specificity. These probes undergo conformational changes upon interacting with target analytes, resulting in measurable fluorescence responses. Their environment-dependent emission characteristics make them ideal for detecting variations in solvent polarity, microviscosity, and specific chemical species. Recent advances have expanded their applications to organic optoelectronics and non-linear optics. This review discusses the design principles, mechanisms, and applications of TICT-based probes, emphasizing their role in detecting cations, anions, and neutral molecules. We describe their advantages, such as fluorescence turn-on or turn-off responses and potential for ratiometric detection, which inherently corrects for interferences. Challenges in developing these probes, including fluorescence quantum yield and photostability, are also addressed. Potential directions for future research are highlighted, including the need for improved biocompatibility and multimodal imaging capabilities, with the aim of enhancing their utility in environmental monitoring, biomedical research, and clinical diagnostics.</p
Epigenetic Clocks: Sequencing the Epigenetic DNA Modifications Involved in Biological Ageing
Ergodic Theory for Fractional SDE with Singular Coefficients
We show existence and uniqueness of invariant measures for SDE of the form where is a fractional Brownian motion (fBm) with Hurst parameter , is a linearly dispersive term and is any distribution in the class treated by Catellier--Gubinelli `16, i.e. α>1-\frac{1}{2H}. The significant challenge is to combine the regularizing effect of the fBm with an ergodic theory suited to non-Markovian SDE. Concerning the latter our first main contribution is to construct a bona fide stochastic dynamical system (SDS) (Hairer `05 and Hairer--Ohashi `07) associated to the equation above. Since the solution map is only continuous in the support of the stationary noise process we weaken the definitions introduced by Hairer `05 and Hairer--Ohashi `07 but manage to retain the Doob--K'hashminksii provided by Hairer--Ohashi `07. Our second innovation is to introduce a family of flexible local-global stochastic sewing lemmas, in the vein of Lê `20, which allows us to efficiently treat small and large scales simultaneously. By tuning the local scale as a function of we are able to obtain the necessary continuity of the semi-group and stability estimates to show unique ergodicity for all . We believe that these local-global sewing lemmas may be of independent interest
Magnetoelectric triggered self-powered vital capacity sensor
The “vital capacity” is a crucial biomechanical marker for evaluating lung health, and is crucial for diagnosing conditions that include asthma and chronic obstructive pulmonary disease (COPD). However, existing monitoring devices are often limited by their dependence on an external power source, and are susceptible to environmental impact to reduce the accuracy of detection. This study therefore presents a novel magnetoelectric triggered sensor (MTS) for self-powered vital capacity monitoring, where the sensor can directly convert the respiratory airflow into electrical signals and monitor vital capacity. The MTS maintains high signal stability, even when operating in high-humidity environments, to enable precise monitoring of the Forced Vital Capacity (FVC) and Peak Expiratory Flow (PEF), thereby serving as an effective instrument for evaluating vital capacity function. This work not only highlights the significant potential of this new approach to self-powered spirometry sensing but also paves the way for the development of portable and wearable devices for the monitoring of respiratory disease.</p