Centro de Investigaciones en Optica (also known as CIO) is a research center in the field of optics which is a branch of physics. CIO is located in the city of Leon in the state of Guanajuato in Mexico (approximately at 21°09'12.02"N 101°42'15.84"W). It also has an industrial research facility in the city of Aguascalientes..
In this study, the influence of two Fe precursor salts, FeSO4·7H2O and Fe(NO3)3·9H2O, on the properties of Fe-doped BaZrO3 was investigated. The materials were synthesized via the hydrothermal method, and SEM analysis revealed well-defined rhombic dodecahedral particles. XRD confirmed the formation of a cubic perovskite phase, while UV–Vis diffuse reflectance spectroscopy showed band gap narrowing upon Fe incorporation. Electrochemical studies provided insights into the charge transfer processes and the estimated band positions of the materials. Photocatalytic H2 evolution tests were conducted under UV irradiation using a mercury lamp (λ = 254 nm, 4.4 mW cm−2). BaZrO3 doped with 5.0 at.
Creative engagement through arts and crafts has been increasingly recognised as a valuable tool for promoting well-being among older persons. This exploratory study examines the feasibility and experiential impact of a five-month Older Persons Art Project designed for older members of Newcastle’s Chinese community. Participants aged 60 and above were recruited through community organisations and engaged in weekly textile-based workshops. Activities included embroidery, indigo dyeing, block printing, and observational drawing. Data were collected through written reflections and semi-structured video interviews, and analysed using Braun and Clarke’s six-phase thematic analysis framework. The authors aimed to: (1) explore how artistic activities may support cognitive engagement and fine motor coordination; (2) examine the role of social interaction in fostering emotional well-being; (3) understand the influence of cultural heritage on identity and belonging; (4) identify challenges faced by older persons in creative engagement and strategies used to address them; and (5) offer practical recommendations for future community-based arts initiatives. Thirteen participants (aged 64–80) engaged in the programme. Five key themes emerged: learning and skill development, social interaction and community, enjoyment and satisfaction, cultural heritage and identity, and challenges and perseverance. Participants described increased confidence, a sense of achievement, and strengthened cultural connection The findings suggest that arts-based programmes can offer meaningful opportunities for older persons to engage creatively, build social bonds, and reconnect with cultural identity. While the study does not claim measurable outcomes, it highlights the potential of participatory arts initiatives to support healthy ageing through inclusive and culturally responsive design.(252 words).
Modern web applications increasingly rely on large volumes of client-side static resources, making delivery-layer efficiency a critical concern for both performance and cybersecurity resilience. Although transport-level compression techniques such as Gzip and Brotli are widely supported, they are typically applied statically without considering runtime context such as asset characteristics, network conditions, or device constraints. This static approach limits performance gains and increases exposure to network-based threats.This paper presents an AI-guided adaptive compression framework that dynamically selects transport-level compression strategies for web resource delivery. We instantiate the decision layer with a lightweight tree-based classifier (Random Forest) that predicts the compression choice per resource from runtime features such as Content-Type, payload size bucket, observed RTT, and concurrency context. The policy minimizes a cost function that balances expected transfer-time reduction against CPU overhead. A controlled experimental setup models representative web workloads composed of heterogeneous static assets delivered under parallel and sequential loading strategies.Results show that adaptive compression outperforms static baselines across the evaluated workload and network profiles. While individual asset compression yields moderate gains, cumulative effects across concurrent loading achieve aggregate transfer reductions exceeding ten percent, leading to measurable improvements in First Contentful Paint and Largest Contentful Paint. Beyond performance, adaptive compression reduces network exposure duration and can lower the effectiveness of timing-based traffic analysis by shortening and smoothing observable transfer windows. These findings position adaptive compression as a practical, under-explored control surface for AI-enabled, security-aware web infrastructure.
The implementation of a spectroscopic system for the detection and real time monitoring of methane (CH 4 ) and acetylene (C 2 H 2 ) is presented, using an all-fiber supercontinuum source generated by noise-like pulses (NLP) tunable by polarization. The generated spectrum ranges from 1500 nm to 1680 nm and has an output power of ∼3.4 mW. Experimental results show that the registered absorption peaks of C 2 H 2 have a maximal depth of approximately 30.8 dB , and 32 intense lines in the R and P branches, whereas the CH 4 peaks have a maximum depth of approximately 14.5 dB , and 18 intense lines. Besides, it is shown that small adjustments in the system polarization state significantly modify the SC spectral profile, affecting the visibility of the absorption signals, and allowing for adjusting the system sensitivity. Finally, the experimental spectra were validated through their comparison with the HITRAN database simulations. To the best of our knowledge, this is the first experimental demonstration of a system for real-time monitoring of two gases based on an SC source generated by NLPs. The proposed configuration represents a robust and simple solution for the practical detection of multiple gaseous species in environmental or industrial environments.
