Review of machine learning applications to power systems studies

The complexity of electric power networks from generation, transmission and distribution stations in modern times has resulted to generation of big and more complex data that requires more technical and mathematical analysis because it deals with monitoring, supervisory control and data acquisition all in real time. This has necessitated the need for more accurate analysis and predictions in power systems studies especially under transient, uncertainty or emergency conditions without interference of humans. This is necessary so as to minimize errors with the aim targeted towards improving the overall performance and the need to use more technical but very intelligent predictive tools has become very relevant. Machine learning (ML) is a powerful tool which can be utilized to make accurate predictions about the future nature of data based on past experiences. ML algorithms operate by building a model (mathematical or pictorial) from input examples to make data driven predictions or decisions for the future. ML can be used in conjunction with big data to build effective predictive systems or to solve complex data analytic problems. Electricity generation forecasting systems that could predict the amount of power required at a rate close to the electricity consumption have been proposed in several works. This study seeks to review machine learning applications to power system studies. This paper reviewed applications of ML tools in power systems studies.

ACHIEVEMENTS AND CHALLENGES OF SYSTEMS STUDIES ON ENERGY DEVELOPMENT IN RUSSIA, THEIR POSSIBILITIES IN THE "DIGITAL" SOCIETY

The paper addresses major achievements, current trends, and challenges in systems studies on energy development. Further evolution of the methodology for these studies in the context of "digitalization" will depend on the development of artificial intelligence tools. The scope of planned work and possible means for its implementation in the systems studies on the energy development in the future information society are investigated for various forms of its organization.

Public value of media innovation systems: Building on Stuart Cunningham's work on media industries and innovation policy

Stuart Cunningham's important contribution to media innovation studies is the work towards a unique combination of evolutionary economics and innovation systems studies with the studies of media and culture. Therein Cunningham's special contribution has been in highlighting the related novel implications for media and creative industries policy making. This essay exemplifies how some of these implications have been addressed in Estonia and how Cunningham's work can be combined with new ideas on designing value-driven innovation systems as ‘national missions’ in order to address the risks of global platformisation for media and other creative sectors.

Application of Vinyl ether Copolymers for Surface Modification of Carbon Black

In this work, the possibility of stabilizing aqueous dispersed systems of carbon with vinyl ether copolymers of various composition and structure was investigated. It was shown that the presence of hydrophobic fragments in the macromolecule chain plays a significant role and positively affects the results of stabilization of aqueous dispersions of carbon particles. It was shown that the composition and molecular architecture of the stabilizing copolymer strongly affects the stabilizing ability in studied systems. Studies have shown that the use of a polymeric stabilizer in combination with ultrasonic treatment of dispersed systems makes it possible to obtain stable, homogeneous, highly dispersed suspensions. At the same time, it was demonstrated that a strong increase in the time and intensity of ultrasonic treatment of the system does not lead to a significant improvement in the results

The Evolving Arctic in the World-System

Global climate change’s continuing effect on the Arctic has brought about a fundamental shift in the region’s identity as it becomes an ever more active area in the world-system. Economic opportunities such as new shipping routes and a bounty of natural resources that were hitherto ice-locked are becoming accessible as the pace of climate change quickens, garnering increasing attention from actors around the world-system. This article explores the new geopolitical and economic realities of the Arctic through the lens of world-system analysis by examining the region’s budding role in the world-economy and emerging economic opportunities, its unique core-peripheral nature, and its potential to spark a regional hegemonic rivalry between NATO and a Sino-Russian partnership. This article aims introduce the evolving Arctic to world-systems studies and promote further research on the region using the theoretical framework.

Gene Expression at a Single Molecule Level: Implications for MDS and AML

Non-genetic heterogeneity, or gene expression stochasticity, is an important source of variability in biological systems. With the advent and improvement of single molecule resolution technologies, it has been shown that transcription dynamics and resultant transcript number fluctuations generate significant cell-to-cell variability that has important biological effects and may contribute substantially to both tissue homeostasis and disease. In this respect, the pathophysiology of stem cell-derived malignancies such as AML and MDS, which has historically been studied at the ensemble level, may require re-evaluation. To that end, it is our aim in this review to highlight the results of recent single-molecule, biophysical, and systems studies of gene expression dynamics, with the explicit purpose of demonstrating how the insights from these basic science studies may help inform and progress the field of leukemia biology and, ultimately, research into novel therapies.

Instantiation: Reconceptualising the role of technology as a carrier of organisational strategising

Technology is often used by senior management as an instrument to deliver strategy by influencing day-to-day activities within organisations. We study how local teams appropriate strategy through the use of technology, specifically in instances where it is rigid and single purposed. We show that technology has the potential to act as a carrier of strategic intent. We theorise local practices of appropriation of strategic intent by conceptualising the role of technology in ‘instantiation’, a notion adopted within the strategy-as-practice literature to explain how localised micro events directly constitute higher-level business outcomes such as those that arise from strategy. Through an in-depth case study following the use of passenger self-service kiosks in a UK airport over a period of 20 months, we review the strategic drivers at the top of the organisation and the central role of technology as the delivery mechanism of strategy. We focus on emergent strategising activity by local teams on the ground. Our main theoretical contributions are thus to extend the concept of instantiation to Information Systems studies and to conceptualise technology as a carrier of strategy, particularly in explaining how technology can embed strategic intent ( structural strategising) and then influence the emergence of local practices consistent with these objectives ( emergent strategising). We find and conceptualise how local practices instantiate strategic intent by decoupling, reframing and then recoupling new logics of work to achieve the aims set out in the organisation’s strategy.

Circular Food Behaviors: A Literature Review

Consumer behavior is crucial in the transition towards circular food systems. Studies so far investigate isolated circular food behaviors, but it is still unclear how the literature comprehensively addresses these behaviors. This paper provides an overview of the literature on circular food behaviors. Following a semi-systematic literature review, we analyze 46 papers related to circular food behaviors. We summarize their main features, categorize the behaviors, and propose a future research agenda. Results show the novelty and quick popularity of the topic, a dispersion across sustainability and agri-food journals, the manuscripts’ goals related to consumption, a predominance of empirical data collection in Europe, a focus on behaviors related to protein alternatives, food waste, and upcycled foods, and the importance of communication and consumers’ education. We categorize and characterize three types of circular food behaviors: linear, transitioning, and circular behaviors. Circular behaviors (i) are part of a systemic circular economy view, (ii) define consumers as “doers” or “prosumers”, (iii) pursue long-term sustainability goals, (iv) show a high engagement of skilled consumers, and (v) are supported by technologies. Future research should consider the social dimension of sustainability and pursue a systemic view of circular food behaviors. We suggest that a circular food-related lifestyle may incorporate the recommended directions.

Finding new edges: systems approaches to MTOR signaling

Cells have evolved highly intertwined kinase networks to finely tune cellular homeostasis to the environment. The network converging on the mechanistic target of rapamycin (MTOR) kinase constitutes a central hub that integrates metabolic signals and adapts cellular metabolism and functions to nutritional changes and stress. Feedforward and feedback loops, crosstalks and a plethora of modulators finely balance MTOR-driven anabolic and catabolic processes. This complexity renders it difficult — if not impossible — to intuitively decipher signaling dynamics and network topology. Over the last two decades, systems approaches have emerged as powerful tools to simulate signaling network dynamics and responses. In this review, we discuss the contribution of systems studies to the discovery of novel edges and modulators in the MTOR network in healthy cells and in disease.

Collagen Mimetic Peptides

Since their first synthesis in the late 1960s, collagen mimetic peptides (CMPs) have been used as a molecular tool to study collagen, and as an approach to develop novel collagen mimetic biomaterials. Collagen, a major extracellular matrix (ECM) protein, plays vital roles in many physiological and pathogenic processes. Applications of CMPs have advanced our understanding of the structure and molecular properties of a collagen triple helix—the building block of collagen—and the interactions of collagen with important molecular ligands. The accumulating knowledge is also paving the way for developing novel CMPs for biomedical applications. Indeed, for the past 50 years, CMP research has been a fast-growing, far-reaching interdisciplinary field. The major development and achievement of CMPs were documented in a few detailed reviews around 2010. Here, we provided a brief overview of what we have learned about CMPs—their potential and their limitations. We focused on more recent developments in producing heterotrimeric CMPs, and CMPs that can form collagen-like higher order molecular assemblies. We also expanded the traditional view of CMPs to include larger designed peptides produced using recombinant systems. Studies using recombinant peptides have provided new insights on collagens and promoted progress in the development of collagen mimetic fibrillar self-assemblies.