Time-Lapse Systems: A Comprehensive Analysis on Effectiveness

Time-lapse systems have quickly become a common feature of in vitro fertilization laboratories all over the world. Since being introduced over a decade ago, the alleged benefits of time-lapse technology have continued to grow, from undisturbed culture conditions and round the clock, noninvasive observations to more recent computer-assisted selection of embryos through the development of algorithms. Despite the global uptake of time-lapse technology, its real impact on clinical outcomes is still controversial. This review aims to explore the different features offered by time-lapse technology, discussing incubation, algorithms, artificial intelligence and the regulation of nonessential treatment interventions, while assessing evidence on whether any benefit is offered over conventional technology.

Gamification as a Teaching Resource for English-Medium Instruction and Multilingual Education at University

Gamification has emerged in recent years as a resource that incorporates game-related elements and mechanics into the classroom to foster students' motivation, engagement, and further competences. With the proliferation of English-medium instruction (EMI) and multilingual degree programs at university nowadays, new and innovative teaching tools are desirable to help students cope with the double-challenging task of acquiring new and complex disciplinary content through a foreign language. This chapter provides an overview of some recent computer-based gamification tools that may be applied in EMI and multilingual university settings. More specifically, the main features and advantages of these tools for these specific educational contexts are explored. This chapter may be useful for researchers and practitioners in the field of EMI and multilingual teaching in higher education.

Gamification as a Teaching Resource for English-Medium Instruction and Multilingual Education at University

Gamification has emerged in recent years as a resource that incorporates game-related elements and mechanics into the classroom to foster students' motivation, engagement, and further competences. With the proliferation of English-medium instruction (EMI) and multilingual degree programs at university nowadays, new and innovative teaching tools are desirable to help students cope with the double-challenging task of acquiring new and complex disciplinary content through a foreign language. This chapter provides an overview of some recent computer-based gamification tools that may be applied in EMI and multilingual university settings. More specifically, the main features and advantages of these tools for these specific educational contexts are explored. This chapter may be useful for researchers and practitioners in the field of EMI and multilingual teaching in higher education.

Iterative Design of Sonification Techniques to Support People with Visual Impairments in Obstacle Avoidance

Obstacle avoidance is a major challenge during independent mobility for blind or visually impaired (BVI) people. Typically, BVI people can only perceive obstacles at a short distance (about 1 m, in case they are using the white cane), and some obstacles are hard to detect (e.g . , those elevated from the ground), or should not be hit by the white cane (e.g . , a standing person). A solution to these problems can be found in recent computer-vision techniques that can run on mobile and wearable devices to detect obstacles at a distance. However, in addition to detecting obstacles, it is also necessary to convey information about them in real time. This contribution presents WatchOut , a sonification technique for conveying real-time information about the main properties of an obstacle to a BVI person, who can then use this additional feedback to safely navigate in the environment. WatchOut was designed with a user-centered approach, involving four iterations of online listening tests with BVI participants in order to define, improve and evaluate the sonification technique, eventually obtaining an almost perfect recognition accuracy. WatchOut was also implemented and tested as a module of a mobile app that detects obstacles using state-of-the-art computer vision technology. Results show that the system is considered usable and can guide the users to avoid more than 85% of the obstacles.

On the modular isomorphism problem for groups of class 3 and obelisks

We study the Modular Isomorphism Problem applying a combination of existing and new techniques. We make use of the small group algebra to give a positive answer for two classes of groups of nilpotency class 3. We also introduce a new approach to derive properties of the lower central series of a finite 𝑝-group from the structure of the associated modular group algebra. Finally, we study the class of so-called 𝑝-obelisks which are highlighted by recent computer-aided investigations of the problem.

The Use of a Dynamic Elastomeric Fabric Orthotic Intervention in Adolescents and Adults with Scoliosis

The use of dynamic elastomeric fabric orthoses in the non-surgical management of scoliosis has been growing over the last 20 years in the paediatric populations and has now started to be used in adolescent and adult patients as well. The concepts of treatment concentrate on the use of movement and changes in the neurological pattern generation, to reduce scoliosis curve Cobb angles and pain that is sometimes experienced due to an altered positional sense. This chapter introduces research, including recent computer modeling, to demonstrate the effects of the combination of two different layered textiles which enable improved comfort, aesthetics as well as scoliosis clinical management. The textile combination enables a total body suit to use 3D scoliosis brace knowledge to assist in developing new orthotic interventions for adolescents and adults with both neurological and idiopathic onset scoliosis, for several different presentations.

Healthy Teleworking: Towards Personalized Exercise Recommendations

Home-based teleworking, associated with sedentary behavior, may impair self-reported adult health status. Current exercise recommendations, based on universal recipes, may be insufficient or even misleading to promote healthy teleworking. From the Network Physiology of Exercise perspective, health is redefined as an adaptive emergent state, product of dynamic interactions among multiple levels (from genetic to social) that cannot be reduced to a few dimensions. Under such a perspective, fitness development is focused on enhancing the individual functional diversity potential, which is better achieved through varied and personalized exercise proposals. This paper discusses some myths related to ideal or unique recommendations, like the ideal exercise or posture, and the contribution of recent computer technologies and applications for prescribing exercise and assessing fitness. Highlighting the need for creating personalized working environments and strengthening the active contribution of users in the process, new recommendations related to teleworking posture, home exercise counselling, exercise monitoring and to the roles of healthcare and exercise professionals are proposed. Instead of exercise prescribers, professionals act as co-designers that help users to learn, co-adapt and adequately contextualize exercise in order to promote their somatic awareness, job satisfaction, productivity, work–life balance, wellbeing and health.

Microscopic Interactions of Melatonin, Serotonin and Tryptophan with Zwitterionic Phospholipid Membranes

The interactions at the atomic level between small molecules and the main components of cellular plasma membranes are crucial for elucidating the mechanisms allowing for the entrance of such small species inside the cell. We have performed molecular dynamics and metadynamics simulations of tryptophan, serotonin, and melatonin at the interface of zwitterionic phospholipid bilayers. In this work, we will review recent computer simulation developments and report microscopic properties, such as the area per lipid and thickness of the membranes, atomic radial distribution functions, angular orientations, and free energy landscapes of small molecule binding to the membrane. Cholesterol affects the behaviour of the small molecules, which are mainly buried in the interfacial regions. We have observed a competition between the binding of small molecules to phospholipids and cholesterol through lipidic hydrogen-bonds. Free energy barriers that are associated to translational and orientational changes of melatonin have been found to be between 10–20 kJ/mol for distances of 1 nm between melatonin and the center of the membrane. Corresponding barriers for tryptophan and serotonin that are obtained from reversible work methods are of the order of 10 kJ/mol and reveal strong hydrogen bonding between such species and specific phospholipid sites. The diffusion of tryptophan and melatonin is of the order of 10−7 cm2/s for the cholesterol-free and cholesterol-rich setups.

The Potential of Computer Vision-Based Marker-Less Human Motion Analysis for Rehabilitation

Background: Several factors, including the aging population and the recent corona pandemic, have increased the need for cost effective, easy-to-use and reliable telerehabilitation services. Computer vision-based marker-less human pose estimation is a promising variant of telerehabilitation and is currently an intensive research topic. It has attracted significant interest for detailed motion analysis, as it does not need arrangement of external fiducials while capturing motion data from images. This is promising for rehabilitation applications, as they enable analysis and supervision of clients’ exercises and reduce clients’ need for visiting physiotherapists in person. However, development of a marker-less motion analysis system with precise accuracy for joint identification, joint angle measurements and advanced motion analysis is an open challenge. Objectives: The main objective of this paper is to provide a critical overview of recent computer vision-based marker-less human pose estimation systems and their applicability for rehabilitation application. An overview of some existing marker-less rehabilitation applications is also provided. Methods: This paper presents a critical review of recent computer vision-based marker-less human pose estimation systems with focus on their provided joint localization accuracy in comparison to physiotherapy requirements and ease of use. The accuracy, in terms of the capability to measure the knee angle, is analysed using simulation. Results: Current pose estimation systems use 2D, 3D, multiple and single view-based techniques. The most promising techniques from a physiotherapy point of view are 3D marker-less pose estimation based on a single view as these can perform advanced motion analysis of the human body while only requiring a single camera and a computing device. Preliminary simulations reveal that some proposed systems already provide a sufficient accuracy for 2D joint angle estimations. Conclusions: Even though test results of different applications for some proposed techniques are promising, more rigour testing is required for validating their accuracy before they can be widely adopted in advanced rehabilitation applications.