After COVID-19, new accreditation standards include the need for developing better learning and teaching environments. This will be supported and connected with digitization, entrepreneurship, social inclusion, and a circular economy. The orientation towards equity and quality in education clearly imposes the need for an individual approach to each student separately. This situation is especially pronounced in higher education institutions in the field of technology, whose primary goal is very often individual training for use of highly specialized software and hardware tools. In such a situation, it is necessary to move away from the classical ex-cathedra methodology and develop student-centered learning environments. Global accreditation systems for teaching, learning, practice, and business communication can be simplified using blockchain. On the basis of blockchain technology (BCTs), this paper proposes a Collaborative Learning and Student Work Evaluation (CLSW) model that includes a multi-frontal teaching method (VFN) and combines scientific peer-review standards. BCTs are used to protect student project and assessment data storage and transmission. Assisting higher education institutions in finding “employable capabilities” of proactive students is the idea of CLSW. Before implementing the CLSW paradigm, a poll of lecturers’ views on BCTs was conducted. The poll results show a desire and willingness to teach with BCTs. The model’s fundamental capabilities and the key participants’ duties were described in a project framework. Additionally, this research and proposed model can improve educational process sustainability in general, as it is an open platform easily accessible by all the interested parties, thus contributing to life-long learning.

Pregnancy care is a topic of interest for both academia and practitioners. Novel pervasive technologies and applications, such as mobile technologies, wearables and IoT, open a wide corpus of possibilities for fostering pregnancy care management, and reducing risks and problems, improving communication among stakeholders and society development. This article introduces a model of a pregnancy care IT ecosystem based on the integration of various services in a semantically enriched e-health ecosystem. As proof of concept, both the web and mobile applications that aim to help pregnant women and gynaecologists were designed and employed in a real environment. An evaluation of the developed ecosystem was performed on a sample of 500 pregnant women and 100 doctors. After pilot usage, a survey was used to collect the data from participants, and assess the acceptance of the developed system. Results show that quality, usability and usefulness are on a high level, and that both pregnant women and doctors are ready for more extensive use of the system. In addition, research findings imply that employing pervasive technologies could bring significant benefits to all the parties in pregnancy care systems.

The generalization of the probabilistic lightning limiting parameter (LLP) method for high-voltage substation lightning performance estimation due to the discharges into connected overhead lines (OHLs) is described. The method improvement is made only for the case of lightning strokes to the shield wire of OHL, causing back-flashover in front of the substation. The improved LLP method is illustrated at the insulation coordination study of the 400-kV line with long connecting cable with direct entry into the gas-insulated substation of the hydroelectric plant. The number of surge arrester sets and sensitivity analyses of the number of connected step-up transformers influence to the mean time between failures of the 400-kV transformer and equipment insulation are investigated.