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The increased complexity of educational processes at times of global change calls for new research and theoretical inquiry to address how changes such as economic, social and political disruption, financial recession, international migration, and new and rapid technological advancements affect education, schools, and student learning and adjustment. Specifically for motivation in education, the fundamental assumption is that, on the one hand, change and challenge have a significant impact on students’ and educators’ motivation to learn and achieve and, on the other hand, motivation can have a significant impact on students’ and educators’ capacity to cope with change and challenge effectively. This chapter introduces the reader to the present volume in the Advances in Motivation and Achievement Series which is dedicated to the role of motivation at times of change and uncertainty.

As part of the mobility of global talent, returnee entrepreneurs from emerging markets with advance technology are particularly challenged by the increasing geopolitical tension. Returnee entrepreneurs have a stronger reliance on the political relationship when establishing successful business at the home countries. Yet this connection with home-country political actors can negatively affect their technology competence obtained from the host countries during geopolitical uncertainty and turbulence. We empirically investigate the challenges that technology-advanced returnee entrepreneurs encountered in the home market from the changes occurred while they were away, as well as the needs to obtain critical resource and gain market entry for adapting the advance technology possessed from aboard. Our aim, nevertheless, is to expand the discussion of the returnee entrepreneurs in the context of current world where unpredictable geopolitical tensions can jeopardize the success of their business. Our study contributes a nuanced understanding of the key factor that driving business success may turn to a trap that constrains returnee entrepreneurship, and accordingly proposes a future research agenda for returnee entrepreneurship and international human mobility in general.

This paper intends to illustrate an application of data envelopment analysis (DEA) to assess library performance from an efficiency standpoint.

DEA modeling was applied to a convenience sample of 37 libraries affiliated to a federal university in Rio de Janeiro. Data were collected from the university's managerial database and refer to three inputs – number of employees, area and number of volumes – and four outputs – consultations, loans, enrolments and (user) traffic. Markovian analysis of transitions between efficient and inefficient states along time allowed a long‐term distribution between those states to be computed.

The retained DEA model provides a list of estimated scores that quantify efficiency status for each library unit and from which both rankings and operation plans can be determined for each unit to assist managers in their quest for library efficiency. In fact, (re)allocative measures, expressed as operation plans, indicate that, for each unit, some input(s) may be decreased and nonetheless some output(s) will increase. Those indicators may also be used to further or avoid either promised or planned changes.

As long as the efficiency principle is accepted the paper provides a three‐step procedure whereby any set of library units may be simultaneously assessed and ranked in relative terms and a set of quantitative operation plans may be used to (re)direct inefficient units toward efficiency. Whenever historical (e.g. annual) data are available, more adequate long‐term efficiency profiles will be computed, as well as some (e.g. yearly) durations relating to time spent in or before visiting (in)efficiency states. This model, combining short‐ and long‐term assessment, may be seen as a novelty contributed by the paper.

The purpose of this paper is to examine the problem of deforestation in Amazonia and the role of the Brazilian government with regard to the capitalist demands and development needs for the region. It offers a brief historical review of public policies and programs for Amazonia, and critically analyzes their conflicting aspects. Local environmental governance (LEG) is proposed as a conceptual framework and a participatory forest management strategy for dealing with the forest destruction.

The paper is a qualitative‐based study which provides a systemic analysis of the process of occupation and the key public policies for Amazonia from over the last decades, particularly during the coup d'état regime. Based on a literature review and official documents, descriptive data are produced which helped in understanding the political phases of the Brazilian government administrations.

The study identified some participatory‐based, decentralized models of forest management and existing forest regulatory frameworks which can serve as an illustrative sketchy arrangement on how local environmental governance can become operative and serviceable for a sustainable balance between the use of natural resources, conservation and regional planning. These findings can help future investigations on governance models. The research also shows how the Brazilian government has perceived Amazonia throughout the decades and how this perception influenced the implementation of development and settlement policies for the region.

The main focus of this article is the debate on the concept of local environmental governance (LEG) as a tool for empowering the local communities through the decentralization of decision making as well as the attempt to find implemented normative and institutional structures within the Amazonian context which can translate aspects of LEG.

The purpose of this review paper is to address the substantial challenges of the outdated exoskeletons used for rehabilitation and further study the current advancements in this field. The shortcomings and technological developments in sensing the input signals to enable the desired motions, actuation, control and training methods are explained for further improvements in exoskeleton research.

Search platforms such as Web of Science, IEEE, Scopus and PubMed were used to collect the literature. The total number of recent articles referred to in this review paper with relevant keywords is filtered to 143.

Exoskeletons are getting smarter often with the integration of various modern tools to enhance the effectiveness of rehabilitation. The recent applications of bio signal sensing for rehabilitation to perform user-desired actions promote the development of independent exoskeleton systems. The modern concepts of artificial intelligence and machine learning enable the implementation of brain–computer interfacing (BCI) and hybrid BCIs in exoskeletons. Likewise, novel actuation techniques are necessary to overcome the significant challenges seen in conventional exoskeletons, such as the high-power requirements, poor back drivability, bulkiness and low energy efficiency. Implementation of suitable controller algorithms facilitates the instantaneous correction of actuation signals for all joints to obtain the desired motion. Furthermore, applying the traditional rehabilitation training methods is monotonous and exhausting for the user and the trainer. The incorporation of games, virtual reality (VR) and augmented reality (AR) technologies in exoskeletons has made rehabilitation training far more effective in recent times. The combination of electroencephalogram and electromyography-based hybrid BCI is desirable for signal sensing and controlling the exoskeletons based on user intentions. The challenges faced with actuation can be resolved by developing advanced power sources with minimal size and weight, easy portability, lower cost and good energy storage capacity. Implementation of novel smart materials enables a colossal scope for actuation in future exoskeleton developments. Improved versions of sliding mode control reported in the literature are suitable for robust control of nonlinear exoskeleton models. Optimizing the controller parameters with the help of evolutionary algorithms is also an effective method for exoskeleton control. The experiments using VR/AR and games for rehabilitation training yielded promising results as the performance of patients improved substantially.

Robotic exoskeleton-based rehabilitation will help to reduce the fatigue of physiotherapists. Repeated and intention-based exercise will improve the recovery of the affected part at a faster pace. Improved rehabilitation training methods like VR/AR-based technologies help in motivating the subject.

The paper describes the recent methods for signal sensing, actuation, control and rehabilitation training approaches used in developing exoskeletons. All these areas are key elements in an exoskeleton where the review papers are published very limitedly. Therefore, this paper will stand as a guide for the researchers working in this domain.