Abstract
Laser guide star (LGS) wave-front sensing (LGSWFS) is a key element of tomographic adaptive optics system. However, when considering Extremely Large Telescope (ELT) scales, the LGS spot elongation becomes so large that it challenges the standard recipes to design LGSWFS. For classical Shack-Hartmann wave-front sensor (SHWFS), which is the current baseline for all ELT LGS-Assisted instruments, a trade-off between the pupil spatial sampling [number of sub-Apertures (SAs)], the SA field-of-view (FoV) and the pixel sampling within each SA is required. For ELT scales, this trade-off is also driven by strong technical constraints, especially concerning the available detectors and in particular their number of pixels. For SHWFS, a larger field of view per SA allows mitigating the LGS spot truncation, which represents a severe loss of performance due to measurement biases. For a given number of available detectors pixels, the SA FoV is competing with the proper sampling of the LGS spots, and/or the total number of SAs. We proposed a sensitivity analysis, and we explore how these parameters impacts the final performance. In particular, we introduce the concept of super resolution, which allows one to reduce the pupil sampling per WFS and opens an opportunity to propose potential LGSWFS designs providing the best performance for ELT scales.

Abstract
In the digital age, the training in companies can be facilitated through a proper system to the company's demand. A learning platform personalized to the profile of employees can facilitate the selection of training that tailored to their roles. This research aims to investigate the existence of adaptation and personalization of learning management systems (LMS) in enterprise context, that facilitate the selection of learning's content suited for employees' roles. This study focuses on literature reviewto understand the importance of a personalizedLMSin company, especially in selection of content that adequate to role of each employee.

Abstract
The paper examines the relationship between gamification – the use of game elements in non-gaming contexts – and innovation teams’ outcomes. It builds on psychological and teamwork theories, arguing that gamification overcomes collaboration issues and generates multiple positive outcomes, particularly in coordination, alignment, engagement, and teams’ motivation. The research follows a qualitative theory-driven using a case study of an innovation project. The conceptual model built through the findings offers valuable insights about applying gamification in innovation teams, namely: i) surprising teams with such a new and playful approach reduces stress among team members; ii) rules and time constraints play a crucial role in teams’ coordination by avoiding dispersion and enhancing focused efforts. The paper provides a set of testable theoretical propositions derived from the conceptualization of gamification in the context of innovation teams. It supports innovation managers interested in measuring gamification outcomes in teams. © 2022 China Ordnance Society

Abstract
Messaging services are usually provided within social network platforms and allow these platforms to collect additional information about users, such as what time, for how long, with whom, and where a user communicates. This information allows the identification of users and is available to the messaging service provider even when communication is encrypted end-to-end. Thus, a gap still exists for alternative messaging services that enable anonymous and confidential communication and that are independent of a specific online service. Online services can still be used to support this messaging service, but in a way that enables users to communicate anonymously and without the knowledge and scrutiny of the online services. In this paper, we propose messaging using steganography and online services to support anonymous and confidential communication. In the proposed messaging service, only the sender and the receiver are aware of the existence of the exchanged data, even if the online services used or other third parties have access to the exchanged secret data containers. This work reviews the viability of using existing online services to support the proposed messaging service. Moreover, a proof-of-concept of the proposed message service is implemented and tested using two online services acting as proxies in the exchange of encrypted information disguised within images and links to those images. The obtained results confirm the viability of such a messaging service.

Abstract
Optical tweezers use light to trap and manipulate mesoscopic scaled particles with high precision making them a useful tool in a plethora of natural sciences, with emphasis on biological applications. In principle, the Brownian-like dynamics reflect trapped particle properties making it a robust source of information. In this work, we exploit this information by plotting histogram based images of 250ms of position or displacement used as input to a Convolution Neural Network. Results of 2-fold stratified cross-validation show satisfying classifications between sizes or types of particles: Polystyrene and Polymethilmethacrylate thus highlighting the potential of CNN approaches in faster and non-invasive applications in intelligent opto and microfluidic devices using optical trapping tools.

Abstract
The Accessibility Requirements Tool for Information and Communication Technologies (FRATIC) was developed within the work of a doctoral project, at the University of Tras-os-Montes and Alto Douro, and may be used at various stages of public procurement processes as well as projects and developments that include ICT products and services. This tool helps to consult, determine and assess the accessibility requirements for ICT products and services in European Standard EN 301 549 that supports the legislation in the field of public procurement for the countries of the European Union - Directive 2014/24/EU. This study focuses on the standardized usability and accessibility features evaluation of the FRATIC prototype, based on ISO 9241-11 metrics, other usability and accessibility evaluation criteria, as well as various standardized measurement tools and methods - such as Single Ease Question (SEQ) and System Usability Scale (SUS) - after conducting usability tests and interviews with 25 experts in the fields of accessibility, assistive technologies, and public procurement.