Abstract
Accessibility is important to include people with disabilities in public life. People with disabilities experience problems in their lives due to products which aren’t designed for them. Addressing these problems is the responsibility of all humanity and the search for solutions should increase. Improving disabled persons’ lives is only possible by applying some rules to product design, such as, improving use-case scenarios. Software solutions must be considered as products in this case. Developing special software programs and upgrading existing solutions to improve the user experience for disabled persons is the obligation of all software developers. Even though the mouse is one of the most important tools, required to access webpages and many other software programs, using it can be a huge problem for people with disabilities, such as, paralysis patients. Therefore, throughout history, different types of methods have been presented as solution. Most of them are not suitable, due to various reasons, like, economic feasibility, mechanic stability and bad designs. In this work, a new method, with more in-built modern and simple technologies, is presented as an alternative to others. To outclass the good economic advantage of its competitors, a limit was set on a low budget webcam and low-tier computer specifications. The Camera tracks the user’s head movements and reacts according to it, using as measurement some metrics about the physiology of human body. Machine learning is used to extract face features and learn the user’s face to determine mouse movements. Machine learning was kept as simple as possible, in order to cope with the low system specification limitations. The main topic of the work is the design and development experience. The solution was tested with a small group of participants and their feedbacks were taken to plan for future improvements. In generally, the users’ comments were good, although some features, such as sensitivity, should be improved. The result of this work will be used to improve the software solution and hopefully will touch the life of people with disabilities.

Abstract
An academic library created an online course in information literacy skills in 2007 for engineering students. This chapter reports the evaluation of the course's effectiveness in developing those skills. In the academic year 2015/2016, a case study with a mixed-methods approach was applied to 5th-year students (N=91) enrolled in a course unit for Master Dissertation's preparation in the informatics and computing engineering programme. Students showed high confidence in their information literacy skills. Online assignments' performance was good, but activities revealed quality issues. Performance in the course unit's assignments reveals a poor application of acquired skills. But satisfaction is high: students value independent learning and online access to resources and content. Despite evidence of some positive impact, the course lacks effectiveness due to issues in the course unit's assignments. Needed improvements include a better realignment with students' needs and a redesign with an instructional model to assure the promotion of students' success. © 2021 by IGI Global. All rights reserved.

Abstract
The study of creativity in the design of prototypes for an organization is of particular interest given its potential for innovation. This article proposes an approach to the design of prototypes using creativity techniques and including sustainability concerns. The application of the approach is illustrated by presenting a real case of development of an aggregator and multidisciplinary prototype for the optimization of social services. The approach includes guidelines for the use of creativity techniques in requirements engineering and for incorporating sustainability concerns.

Abstract
As an amputee, learning how to control a myoelectric prosthesis is a difficult task. One of the main issues with conventional, highly repetitive, rehabilitation methods is the lack of engagement and motivation of the patients that often leads to high rejection rates of the prosthetic device. This work proposes and implements a novel serious game design, improving previous work, as music-based app. The prototype was evaluated by seven able-bodied participants with regard system usability and engagement. Results suggest positive outcomes in motivation, but room for improvement in system usability. © 2020 IEEE.

Abstract
Allele expression (AE) analysis robustly measures cis-regulatory effects. Here, we present and demonstrate the utility of a vast AE resource generated from the GTEx v8 release, containing 15,253 samples spanning 54 human tissues for a total of 431 million measurements of AE at the SNP level and 153 million measurements at the haplotype level. In addition, we develop an extension of our tool phASER that allows effect sizes of cis-regulatory variants to be estimated using haplotype-level AE data. This AE resource is the largest to date, and we are able to make haplotype-level data publicly available. We anticipate that the availability of this resource will enable future studies of regulatory variation across human tissues.

Abstract