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The Semantic Link Network is a general semantic model for modeling the structure and the evolution of complex systems. Various semantic links play different roles in rendering the semantics of complex system. One of the basic semantic links represents cause-effect relation, which plays an important role in representation and understanding. This paper verifies the role of the Semantic Link Network in representing the core of text by investigating the contribution of cause-effect link to representing the core of scientific papers. Research carries out with the following steps: (1) Two propositions on the contribution of cause-effect link in rendering the core of paper are proposed and verified through a statistical survey, which shows that the sentences on cause-effect links cover about 65% of key words within each paper on average. (2) An algorithm based on syntactic patterns is designed for automatically extracting cause-effect link from scientific papers, which recalls about 70% of manually annotated cause-effect links on average, indicating that the result adapts to the scale of data sets. (3) The effects of cause-effect link on four schemes of incorporating cause-effect link into the existing instances of the Semantic Link Network for enhancing the summarization of scientific papers are investigated. The experiments show that the quality of the summaries is significantly improved, which verifies the role of semantic links. The significance of this research lies in two aspects: (1) it verifies that the Semantic Link Network connects the important concepts to render the core of text; and, (2) it provides an evidence for realizing content services such as summarization, recommendation and question answering based on the Semantic Link Network, and it can inspire relevant research on content computing. [ABSTRACT FROM AUTHOR]

Soil and soil biodiversity are often a neglected component in assessments of ecosystems and their services. One of the reasons is the increasing complexity of scientific investigation of biotic and abiotic interactions and mechanisms from soil biodiversity and soil components via ecosystem structures, processes, and functions that finally provide specific ecosystem services for human well-being. In particular, soil-related cultural ecosystem services are missing in the publications on interactions. We tested this hypothesis by using a systematic literature analysis and taking Germany as a case study. The findings revealed a huge research gap. Among 2104 peer-reviewed scientific papers, covering all types of soil-related ecosystem services, only 28 publications were related to soil-related cultural ecosystem services in Germany. Furthermore, the terminological awareness of "ecosystem services" is still limited. The following five main categories for cultural soil-related ecosystem services were identified: (1) place of sense, (2) spiritual value, (3) recreation, (4) forecasts and measures, and (5) soil as an archive. Soil as an archive was further divided into storage, archaeological site, and reconstruction of the past. By highlighting the importance of cultural soil-related ecosystem services and their interactions with soil biodiversity, this study underlines the urgent need to better consider soil biodiversity and soil processes in ecosystem service assessments. This systemic and interdisciplinary approach increases also the societal and political relevance of soil. [ABSTRACT FROM AUTHOR]

An introduction is presented in which the editor discusses articles in the issue on topics including Academic Papers, Blogs, Dissertations, and Publications.

The current paper presents a position statement of the Dutch Working Group of Transcatheter Heart Valve Interventions that describes which patients with aortic stenosis should be considered for transcatheter aortic valve implantation and how this treatment proposal/decision should be made. Given the complexity of the disease and the assessment of its severity, in particular in combination with the continuous emergence of new clinical insights and evidence from physiological and randomised clinical studies plus the introduction of novel innovative treatment modalities, the gatekeeper of the treatment proposal/decision and, thus, of qualification for cost reimbursement is the heart team, which consists of dedicated professionals working in specialised centres. [ABSTRACT FROM AUTHOR]

This paper reviews the research on successful school principalship carried out in England over the last 20 years. Drawing on evidence synthesized from the International Successful School Principalship Project (ISSPP) and related English school leadership research conducted by ISSPP scholars, this review aims to answer a conceptual research question: How do the principalship's moral purposes and contextual understanding shape the time-sensitive, informed adoption of combinations and accumulations of strategies that lead to sustained school success? This paper identifies five research insights derived from case studies in England and elaborates on the complex, values-led layered web of interactions between the school principal and key stakeholders within and outside the school in the context of frequent social changes and policy interventions in England. Whilst the pace has been greater and more intense than in many other countries, the direction has been, and remains, similar. The body of scholarship here reviewed engages with national policies as filtered and then enacted by successful principals. While 'effective' principals lead to students' success as measured by performance on national tests and examinations, our focus is upon an empirically founded definition of 'successful' school leadership that is located in complexity theory and encompasses the enactment of the core purposes of education that include but go beyond the functional. In doing so, it avoids 'what to do' formulae and the limitations of certain theoretical 'leadership' models, finding that successful school leaders' work embodies a broader humanistic view of student learning and achievement, which implies the preordinance of the personal over the functional. Taken together, these research insights contribute to the ISSPP's continued effort to refine and advance the knowledge base of successful school leadership within and across different countries. [ABSTRACT FROM AUTHOR]

With the rise of research on the integration of emergence theory and complex systems, value emergence has become a new model of value creation in green innovation ecosystems. Exploring the research status of green innovation ecosystems from the perspective of value emergence has become a research hotspot in the field of management science. Therefore, the purpose of this paper is to use bibliometric methods, explore the current research status of green innovation ecosystems from the perspective of value emergence, and, more importantly, provide a future direction for the integration of emergence theory into complex systems. In this paper, a search was conducted in the Web of Science and CNKI databases, with a time limit from 2009 to May 2023, and through further screening, 159 articles were collected, and CiteSpace software (CiteSpace.6.3.R1) was used for visualizing and exploring bibliometric networks. This study innovatively introduce the value emergence perspective in the context of green innovation ecosystems. The basic interaction, dynamic promotion, and feedback loop of value emergence are taken as the research framework, and the generation mechanism and dynamic evolution of the green innovation ecosystem are analyzed. Finally, three prospects for future research are presented: How do green innovation entities generate basic resources? How do digital transformation and dynamic capabilities promote emerging value? How do internal models and external identifiers promote feedback loops? This paper is highly important for promoting theoretical exploration in the field of green innovation research. [ABSTRACT FROM AUTHOR]

Experimental results show that the edge detection method of the crater proposed in this paper is better than other edge detection methods; compared with other crater detection methods, the proposed method has higher detection accuracy and more correct detection rate. In the paper entitled 'A novel color image encryption based on fractional order Lorenz system' by S. Li et al., we have a novel colour image encryption algorithm is proposed based on the fractional order Lorenz system. Since the node information of a complex network is always not fully available, state estimation technique becomes an important tool to estimate the desired node information through the received measurement outputs. The high precision mechanical sensors are used to install on the rotating shaft in the traditional methods, occupied the space and increased system cost and the mechanical sensors are easily affected by the environment, reduced the measurement accuracy and system stability. [Extracted from the article]

How do the curators of science and technology collections represent the daily realities of doing science? Through the acquisition of Professor Stephen Hawking's office by the Science Museum, this paper will explore what is involved in making major acquisitions for national collections. How do curators consider what to preserve from the eclectic range of items found in the working spaces of scientists? What do the personal artefacts of a scientist's life represent, and what do acts of curatorial choices say about the narratives that are foregrounded -- and those that are not -- in positioning that life historically? And how do those choices illuminate the considerations involved in the way science and technology is represented in our national collections? By going beyond the glass case, we consider what it takes to bring an object into a collection: the intellectual considerations of how its stories are preserved for a nation and the practical considerations required so that items can even be considered for future display. The paper illuminates the formal and informal networks around scientists' collections, and the processes and judgements that science and technology curators make every day when choosing what could be important for defining our history. Using the Stephen Hawking office as a case study the article explores the representation of scientific practice in museum collections, the relationship of some collections with celebrity and disability, and some of the challenges posed by science and technology acquisitions compared to other types of museum object. The paper explores how knowledge is generated in museum collections, through the act of acquiring a new collection. It asks fundamental questions, which are essential to the fields of museology and science and technology studies, about the contribution to knowledge made by personal scientific objects. It goes beyond the study of collections as artefacts of display in exhibitions and galleries, providing a detailed analysis of a routine but oftenneglected aspect of behind-the-scenes museum work: the acquisition of a collection. Arguing that a large and complex collection is a vital tool for understanding the complexity of science, the paper uses the 'museum as method' (Thomas, 2016) which prioritises simple curatorial questions and the use of the objects in exploration; this enables scholars and curators to respond to material evidence of scientific knowledge, and identify narratives that are prioritised, and others that are obscured, in the historic record. In doing so, it suggests that curators are uniquely placed to provide insights into the roles of human and non-human actors in the construction of scientific knowledge, demonstrating how the Hawking collection allows us to explore the nature of scientific practice, the creation of scientific celebrity, and the potential to give visibility to disability within the history of science whilst de-centring the myth of the scientific genius in museum narratives. [ABSTRACT FROM AUTHOR]

Background: Emergency Departments (ED) staff, including nurses and physicians, are most directly involved in the care of people who use unregulated substances, and are ideally positioned to provide harm reduction interventions. Conceptualizing the ED as a complex adaptive system, this paper examines how ED staff experience opioid-specific harm reduction provision and engage in harm reduction practice, including potential facilitators and barriers to engagement. Methods: Using a mixed methods approach, ED nurses and physicians completed a self-administered staff survey (n = 99) and one-on-one semi-structured interviews (n = 15). Five additional interviews were completed with clinical leaders. Survey data were analyzed to generate descriptive statistics and to compute scale scores. De-identified interview data were analyzed using a reflexive thematic analysis approach, which was informed by the theory of complex adaptive systems, as well as understandings of harm reduction as both a technical solution and a contextualized social practice. The final analysis involved mixed analysis through integrating both quantitative and qualitative data to generate overarching analytical themes. Results: Study findings illustrated that, within the context of the ED as a complex adaptive system, three interrelated contextual factors shape the capacity of staff to engage in harm reduction practice, and to implement the full range of opioid-specific harm reduction interventions available. These factors include opportunities to leverage benefits afforded by working collaboratively with colleagues, adequate preparation through receiving the necessary education and training, and support in helping patients establish connections for ongoing care. Conclusions: There is a need for harm reduction provision across all health and social care settings where people who use unregulated opioids access public sector services. In the context of the ED, attention to contextual factors including teamwork, preparedness, and connections is warranted to support that ED staff engage in harm reduction practice. [ABSTRACT FROM AUTHOR]

The notion that nature is subject to laws is exciting from many different viewpoints. This paper is based on the context of modern cosmology. It will list the significant interdisciplinary implications generated by various aspects of the contemporary scientific discussion about the status of laws of nature, especially their dynamic nature. Recent work highlights how multiple aspects of the observed universe still lack explanation and that several problems of standard cosmology still form the object of debate. Considering these issues, several proposals have been made that entail a revision of the concept of the law of nature, according to which the nature of time and of the relation between causality and natural laws ought to be reconsidered using approaches or viewpoints which point to philosophical issues. We argue that Tim Maudlin's concept of Fundamental Law of Temporal Evolution (FLOTE) and Nancy Cartwright's notion of the nomological machine provide new insights and valuable tools that can be used in the analysis of the status of laws in the context of cosmology and of complex systems theory. The limits of the traditional approach to laws of nature and their mathematical formulation are highlighted in this context, as well as the fact that many of the ultimate properties of nature may turn out to be formally unpredictable or uncomputable. [ABSTRACT FROM AUTHOR]

Background: The Stop Cancer PAIN Trial was a phase III pragmatic stepped wedge cluster randomised controlled trial which compared effectiveness of screening and guidelines with or without implementation strategies for improving pain in adults with cancer attending six Australian outpatient comprehensive cancer centres (n = 688). A system for pain screening was introduced before observation of a 'control' phase. Implementation strategies introduced in the 'intervention' phase included: (1) audit of adherence to guideline recommendations, with feedback to clinical teams; (2) health professional education via an email-administered 'spaced education' module; and (3) a patient education booklet and self-management resource. Selection of strategies was informed by the Capability, Opportunity and Motivation Behaviour (COM-B) Model (Michie et al., 2011) and evidence for each strategy's stand-alone effectiveness. A consultant physician at each centre supported the intervention as a 'clinical champion'. However, fidelity to the intervention was limited, and the Trial did not demonstrate effectiveness. This paper reports a sub-study of the Trial which aimed to identify factors inhibiting or enabling fidelity to inform future guideline implementation initiatives. Methods: The qualitative sub-study enabled in-depth exploration of factors from the perspectives of personnel at each centre. Clinical champions, clinicians and clinic receptionists were invited to participate in semi-structured interviews. Analysis used a framework method and a largely deductive approach based on the COM-B Model. Results: Twenty-four people participated, including 15 physicians, 8 nurses and 1 clinic receptionist. Coding against the COM-B Model identified 'capability' to be the most influential component, with 'opportunity' and 'motivation' playing largely subsidiary roles. Findings suggest that fidelity could have been improved by: considering the readiness for change of each clinical setting; better articulating the intervention's value proposition; defining clinician roles and responsibilities, addressing perceptions that pain care falls beyond oncology clinicians' scopes of practice; integrating the intervention within existing systems and processes; promoting patient-clinician partnerships; investing in clinical champions among senior nursing and junior medical personnel, supported by medical leaders; and planning for slow incremental change rather than rapid uptake. Conclusions: Future guideline implementation interventions may require a 'meta-implementation' approach based on complex systems theory to successfully integrate multiple strategies. Trial registration: Registry: Australian New Zealand Clinical Trials Registry; number: ACTRN 12615000064505; data: https://www.anzctr.org.au/Trial/Registration/TrialReview.aspxid=367236&isReview=true. [ABSTRACT FROM AUTHOR]

This paper reviews the use of game theory tools to study the operation and design of modern power grids. The contribution of this work is to summarize the literature to highlight the versatile solution capability of game theory by focusing on the interconnected objectives of energy trading and energy management. This review was conducted with a focus on various applications in energy systems, including general energy markets, micro grids (MGs), virtual power plants (VPP), electric vehicles (EVs), and smart homes, and explores how game theory can summarize the solutions for pricing, bidding, demand side management, and resource optimization. A key finding is the suitability of game theory for modeling decentralized energy systems where strategic incentives can lead to outcomes that benefit both individuals and society. It also discusses the limitations, challenges, and potential benefits of game theory in complex power systems. This study provides researchers and policy makers with a comprehensive overview of current research and insights into the potential of game theory to shape the future of energy systems. [ABSTRACT FROM AUTHOR]

This paper is concerned with a fuzzy analysis of power-flow (PF) involving uncertainties of load demands and network parameters. The crux of this paper is to propose an advanced fuzzy arithmetic. Fuzzy transformation method merges with backward–forward sweep in order to evaluate the contribution and propagation of uncertainty in IEEE 33-bus and 69-bus distribution systems. Results are validated by true intervals and random ranges. To determine true intervals, Global Optimization Problems (GOPs) are defined and solved through derivative-based and free techniques. To estimate random ranges, Monte-Carlo Simulations (MCSs) are employed. Our findings confirm that the sharpness of fuzzy intervals, tractability of computations, and applicability of possibility distributions. Following scenario-based evaluations, this paper discusses new implications of power losses, voltage profiles, optimal re-configuration, feeder extension, and reactive power compensation so that results would be beneficial to system planners and operators. Altogether, this paper provides a blueprint for a new way to handle uncertainties in a wide variety of power system problems without global optimization, linearization, and randomized simulations. [ABSTRACT FROM AUTHOR]

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This paper analyses the disruptions occurring in a production system determining the operating states of a single machine. A system with a convergent production character, in which both single flows (streams) and multi-stream flows occur, was considered. In this paper, a two-level formalisation of the production system (PS) was made according to complex systems theory. The continuity analysis was performed at the operational level (manufacturing machine level). The definition of the kth survival value and the quasi-coherence property defined on chains of synchronous relations were used to determine the impact of interruption of the processed material flow on uninterrupted machine operation. The developed methodology is presented in terms of shaping the energy efficiency of technical objects with the highest power demand (the furnace of an automatic paint shop and the furnace of a glass tempering line were taken into consideration). The proposed methodology is used to optimise energy consumption in complex production structures. The model presented is utilitarian in nature—it can be applied to any technical system where there is randomness of task execution times and randomness of unplanned events. This paper considers the case in which two mutually independent random variables determining the duration of correct operation T P and the duration of breakdown T B are determined by a given distribution: Gaussian and Gamma family distributions (including combinations of exponential and Erlang distributions). A formalised methodology is also developed to determine the stability of system operation, as well as to assess the potential risk for arbitrary system evaluation parameters. [ABSTRACT FROM AUTHOR]

The construction of data and automation in the field of teaching materials management in colleges and universities is an important part of teaching management in colleges and universities, and it is also a specific and heavy task. Therefore, improving the function of the college textbook management system and giving full play to the informatization service role of the college information management system are of great significance to improve the management efficiency of college textbooks and the quality of college teaching management. The research done still needs to be further deepened and still needs to be gradually improved in many aspects. For example, in order to make the application of the decision-making method proposed in this paper more convenient, it is necessary to further develop the supporting decision-making analysis software, which are practical problems that need to be improved and solved in the future. Aiming at the problems of traditional college textbook management mode, such as large manual workload, low work efficiency, unsound query and statistical functions, and postreview perimeter, this paper studies and designs a set of college information management system based on nonlinear matrix organizational structure. Based on the comprehensive integration methodology of nonlinear complex system theory, reductionism, and holism, this paper innovatively proposes a new analysis structure for complex problem evaluation and a value system for solution evaluation. The non-linear ANP decision-making method (collectively referred to as the new method) is proposed in this study. The new method judges the system state layer by layer from bottom to top based on the hierarchical overall judgment thinking, effectively revealing the behavior characteristics such as the emergence and mutation of complex systems. Compared with the traditional ANP decision-making method, the new method is more scientific and reliable than the traditional ANP decision-making method. This paper designs and develops a college information management system based on nonlinear matrix. Through the implementation test, it can be found that the system is helpful to improve the management level of college textbooks, reduce the irrelevant workload in the management of textbooks, and use data management for the decision-making of college textbooks. [ABSTRACT FROM AUTHOR]

Purpose: This study conducts a comparative analysis between complex nonlinear systems and business models. Findings: Drawing from early research and current debates on complex systems, the paper links business models' qualities such as emergent properties, feedback loops, interdependency of its components and sensitivity to initial conditions under the umbrella of complexity theory. The paper also introduces the concept of attractors and non-equilibrium in business models. Originality/Value: The value of directly addressing the construct's nonlinear dynamic is twofold. First, it will try to resolve the conceptual ambiguity that has traditionally surrounded the discipline of business model and business model innovation by providing a new method to study the construct. Also, by linking the business models' qualities under the umbrella of complexity theory, this paper hopes to resolve the disconnect in the current research effort and to encourage further dialogue and studies on the subject of business model and complexity. Practical Implications: By attempting to represent the business model construct as complex system, the paper opens up the study of business model to novel possibilities to understand its dynamic and evolution. Also, by introducing the concept of business model's attractors the paper seeks to find a framework to support and understand business model's innovation and evolution. Research Limitations/Implications: Limitations are inherent to the non-empirical nature of this study. Furthermore, the paper sole objective is to introduce an overview of how different aspects of complexity relate to business models, therefore this study lacks of depth in the analysis of each of aspects. [ABSTRACT FROM AUTHOR]

This paper is concerned with the modeling of complex living systems composed of active particles able to interact with each other and with the surrounding environment. Specifically the discrete thermostatted kinetic theory for active particles is generalized by extending the role of nonconservative interactions and by introducing the role of mutations. In particular the classical proliferation/destruction operator is generalized in order to take into consideration the role of nonlinear interactions, namely the dependence on the distribution functions and their moments. The natural birth and death events are recovered included the logistic growth rate. Finally the role of the outer environment is taken into consideration by introducing microscopic external agents. New thermostat operators are presented whose structures augment the degree of nonlinearity of the evolution equations. The different Cauchy problems are established and future research perspectives are discussed in the whole paper. [ABSTRACT FROM AUTHOR]

Bibliometric studies based on the Web of Science (WOS) database have become an increasingly popular method for analyzing the structure of scientific research. So do network approaches, which, based on empirical data, make it possible to characterize the emergence of topological structures over time and across multiple research areas. Our paper is a contribution to interweaving these two lines of research that have progressed in separate ways but whose common applications have been increasingly frequent. Among other attributes, Author Keywords and Keywords Plus® are used as units of analysis that enable us to identify changes in the topics of interest and related bibliography. By considering the co-occurrence of those keywords with the Author Keyword Complexity, we provide an overview of the evolution of studies on Complexity Sciences, and compare this evolution in seven social and natural scientific fields. The results show a considerable increase in the number of papers dealing with complexity, as well as a general tendency across different disciplines for this literature to move from a more foundational, general and conceptual to a more applied, specific and empirical set of co-occurring keywords. Moreover, we provide evidence of changing topologies of networks of co-occurring keywords, which are described through the computation of some topological coefficients. In so doing, we emphasize the distinguishing structures that characterize the networks of the seven research areas. [ABSTRACT FROM AUTHOR]

Dynamic Pattern Synthesis (DPS) provides a new longitudinal method for evaluating the impacts of macroeconomic and public policy interventions. Situated within complexity theory and critical realism, it has evolved from the established methods of Cluster Analysis and Configurational Modelling approaches. Dynamic Pattern Synthesis identifies case convergence and divergence (using quantitative techniques), while remaining close to the qualitative uniqueness of each case. In this paper, the DPS approach is used to consider macroeconomic convergence across Sub-Saharan Africa during the Millennium Development Goals, and the possible impacts of IMF interventions in stimulating long-term macroeconomic outcomes. The findings reveal a high degree of economic instability experienced across the region and varying responses to an external shock. The importance of 'outliers' and inconsistency in country convergence are also observed. The DPS method highlights the importance of individual country experiences in relation to external shocks. When factoring in IMF interventions, the findings highlight multiple paths to a given policy outcome, rather than a single optimal economic strategy. This opens up the debate on policy issues associated with economic complexity, including how best to create an overall environment of stability that might promote convergence and reduce the instability that undermines planning and investment. [ABSTRACT FROM AUTHOR]

Background: Given the complex determinants of non-communicable diseases (NCDs), and the dynamic policy landscape, researchers and policy-makers are exploring the use of systems thinking and complexity science (STCS) in developing effective policies. The aim of this review is to systematically identify and analyse existing applications of STCS-informed methods in NCD prevention policy. Methods: We searched academic databases (Medline, Scopus, Web of Science, EMBASE) for all publications indexed by October 13, 2020, screening titles, abstracts and full texts and extracting data according to published guidelines. We summarised key data from each study, mapping applications of methods informed by STCS to policy process domains. We conducted a thematic analysis to identify advantages, limitations, barriers and facilitators to using STCS. Results: 4681 papers were screened and 112 papers were included in this review. The most common policy areas were tobacco control, obesity prevention and physical activity promotion. Methods applied included system dynamics modelling, agent-based modelling and concept mapping. Advantages included supporting evidence-informed decisionmaking; modelling complex systems and addressing multi-sectoral problems. Limitations included the abstraction of reality by STCS methods, despite aims of encompassing greater complexity. Challenges included resource-intensiveness; lack of stakeholder trust in models; and results that were too complex to be comprehensible to stakeholders. Ensuring stakeholder ownership and presenting findings in a user-friendly way facilitated STCS use. Conclusion: This review maps the proliferating applications of STCS methods in NCD prevention policy. STCS methods have the potential to generate tailored and dynamic evidence, adding robustness to evidence-informed policy-making, but must be accessible to policy stakeholders and have strong stakeholder ownership to build consensus and change stakeholder perspectives. Evaluations of whether, and under what circumstances, STCS methods lead to more effective policies compared to conventional methods are lacking, and would enable more targeted and constructive use of these methods. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to build on the latest advances in cognitive computing techniques to systematically illustrate how unstructured data from users can offer significant value for co-innovation. Design/methodology/approach: The paper adopts a general overview approach to understand how unstructured data from users can be analyzed with cognitive computing techniques for innovation. The paper links the computerized techniques with marketing innovation problems with an integrated framework using dynamic capabilities and complexity theory. Findings: The paper identifies a suite of methodologies for facilitating company co-innovation via engaging with customers and external data with cognitive computing technologies. It helps to expand marketing researchers and practitioners' understanding of using unstructured data. Research limitations/implications: This paper provides a conceptual framework that divides co-innovation process into three stages, ideas generation, ideas integration and ideas evaluation, and maps cognitive computing methodologies and technologies to each stage. This paper makes the theoretical contributions by developing propositions from both customer and firm perspectives. Practical implications: This paper can be used for companies to engage consumers and external data for co-innovation activities by strategically select appropriate cognitive computing techniques to analyze unstructured data for better insights. Originality/value: Given the lack of systematic discussion regarding what is possible from using cognitive computing to analyze unstructured data for co-innovation. This paper makes first attempt to summarize how unstructured data can be analyzed with cognitive computing techniques. This paper also integrates complexity theory to the framework from a novel perspective. [ABSTRACT FROM AUTHOR]

This study generated a Systematic Literature Review (SLR) by following proven and stringent guidelines. PRISMA 2009 is used to retrieve 15 study papers that were selected and analysed in the SLR. The scientific research on the complexities of blended learning program approaches to students has been examined. The papers' publishing years range from 2015 to 2020. The methodological designs, foci, and results of the experiments have all been thoroughly examined. According to the study, the major problems and challenges that students faced in learning included getting distracted in the classroom due to large class size, inaccessibility to online lessons due to Learning Management System (LMS) severe crash, complexity of internet communication with teachers and classmates, lack of skills and experience with digital tools, and time management for learning. [ABSTRACT FROM AUTHOR]

This contribution addresses the puzzle of whether Industry 4.0 is able to autochthonously bring back the real economy (non-financial corporate sector) into the consciousness of the financial sector. It is all the more important since the conventional wisdom over financialisation says that it cannot be reversed without re-establishing the command of the social and collective over the private and individual for the modern era. Our paper argues that a healthy diffusion of Industry 4.0 is doomed unless some directionality is set within the financialisation process. To this end, by building on the relevant lessons of complexity science, it investigates the complex nexus among financialisation, zombification and Industry 4.0 development, an aspect which is not even sporadically examined in the literature. After presenting a short stock take on excessive financialisation, the paper deciphers the main systemic channels of zombification affecting negatively the outlooks of Industry 4.0. Some important policy recommendations are drawn as well. [ABSTRACT FROM AUTHOR]

Purpose: Traditional approaches to organizational performance management that emphasize objectivity, control and predictability are rapidly losing relevance in an environment characterized by increasing levels of complexity and dynamism. This paper draws on complexity theory to suggest a new paradigm for managing performance in organizations. Design/methodology/approach: The paper draws on the common features of complex systems and the corresponding concept of emergence to revisit key themes in organizational performance management and propose a set of implications for research and practice. Findings: Understanding organizations as complex systems and performance as an emergent property of such systems leads to a set of new research questions, the adoption of alternative methods and the formulation of novel propositions. It also has various implications for both academic research and managerial practice, from moving away from the traditional notion of organizational alignment to adopting a more explicit stakeholder-based view in the design and use of measurement systems. Originality/value: The paper highlights the great potential of complexity theory for addressing contemporary issues in the field of organizational performance management and charting the landscape for its future development. [ABSTRACT FROM AUTHOR]

This paper addresses the subject of organizational paradoxes through the lens of complexity theory. The first part of the study focuses on the formalization of the key elements in order to better understand the concept of organizational tension through the presentation of related constructs, i.e., dilemmas, dialectics and paradoxes. The second part of the paper introduces the key to interpreting complexity theory, highlighting how the characteristic of emergence in complex systems makes it possible to identify two different levels: that of organizational elements and that of organizational forms, both of which are impacted by tension. That reflection leads the authors to postulate that metamorphosis is the process by which organizations, constantly crossed by tension, regenerate the organizational forms' level on the basis of evolving tensions between organizational elements. [ABSTRACT FROM AUTHOR]

China is located in the intersection area of two seismic zones. Due to this special geographical location, earthquake disasters occur frequently in China. Earthquake emergency rescue work is one of the key construction works of disaster prevention and mitigation in China. This paper mainly studies the earthquake disaster rescue model based on the complex adaptive system theory and establishes the earthquake disaster rescue model by analyzing the complex adaptive system theory and combining the earthquake rescue process. In this paper, through the task allocation mechanism task, the disaster rescue task is divided into simple task and complex task, and the executive task subject is divided into single task subject and multitask subject. On the basis of considering the shortest emergency rescue time goal and the goal of maximizing the deployment utility of rescue team, the reasonable deployment of a rescue team is realized through a complex adaptive system, that is, the deployment utility of the rescue team is maximized. In this paper, the simulation experiment and comparison of the earthquake disaster rescue model based on the complex adaptive system theory are carried out. The experimental results show that the model used in this paper is better than the other two models in terms of algorithm convergence, rescue number, and overall score; in different scenarios, the relative survival probability of the model in this paper is 58.92%, 67.85%, and 77.46%, and the proportion of the wounded rescued is 66.31%, 76.45%, and 83.06%, which were higher than those of the other two models. The earthquake disaster rescue model based on the complex adaptive system theory proposed in this paper provides an effective theoretical basis and method system for postdisaster emergency rescue decision making and enhances and improves the emergency response ability to deal with large-scale geological disaster events. [ABSTRACT FROM AUTHOR]

Encoding multiple videos in parallel and transmitting them as one joint stream over a limited bandwidth have become a popular strategy for broadcasting, which brings an opportunity to allocate different bitrate for each sequence to meet different demands. In this paper, considering visual experience for human beings, we propose a joint rate allocation scheme aims to reach an equal visual quality among all sequences by minimizing the distortion variance of all the sequences (denoted as minVAR problems). Existing methods assigned bits directly in proportion to their complexity measures and we named them as complexity based allocation scheme (CAS) methods. CAS methods rely on the accuracy of the complexity measures which can hardly be improved under limited computing resources. Also complexities may not be directly related to the distortions. To address these problems, we present a novel joint rate-distortion (R-D) based allocation scheme (RDAS) in this paper. Our proposed scheme can fit for different R-D models and in our method we model the R-D relationship with a hyperbolic function (RDAS-H). We also derive a closed-form solution of RDAS-H by a proposed joint R-D relationship. We integrated the RDAS-H method in high efficiency video coding reference software HM16.0. Experimental results demonstrate that our RDAS-H saves 75.29% variance on average over the related CAS-based method, where we apply both low delay and random access configurations with four different overall bandwidths for all classes recommended by the Joint Collaborative Team on Video Coding. Besides, RDAS-H also saves 36.62% variance on average over our previous method. The proposed RDAS-H method improves the performance significantly while requiring negligible computational cost. [ABSTRACT FROM AUTHOR]

Smart cyber-physical systems (S-CPSs) are complex engineered systems empowered by cyber-physical computing and equipped with the capability of reasoning, learning, adapting, and evolving. As an outcome of data-driven dynamic computing, reasoning capabilities, and the run-time obtained own knowledge, nonlinear and emergent behavior of S-CPSs whilst in operation is an open issue, not experienced in the case of conventional technical systems. This paper analyzes the technical issues of run-time operation and emergent behavior of S-CPSs, reviews the current understanding and state of advancement in designing S-CPSs for run-time, explores the paradox, and issues of designing for run-time adaptation, and synthesizes some general principles that can be taken into consideration when addressing the challenges, first of all, in the context of advanced manufacturing systems. This paper introduces four levels of CPSs according to reasoning capabilities and adaptation freedom of systems, and recognizes the paradox that a system with a higher level of freedom requires a higher level of self-control and resource management according to the overall objective of operation. Specific and common design principles are presented and critically assessed for each advancement level of CPSs. The principles synthesized by the authors provide only a partial fulfillment of the generic need. The planned future research addresses these issues and proposes (largely implementation and application independent) genuine principles for system developers. [ABSTRACT FROM AUTHOR]

Purpose: Industries lament the current situation of approaches that have resulted in huge losses in the face of complex risks. The purpose of this study is therefore to review complexity theory in the context of risk management so that it is possible to research better approaches for managing complex risks. Design/methodology/approach: The approach is to review complexity theory and highlight those aspects of complexity theory that have relevance for risk management. Then, the paper ends with a discussion on what direction of research that will be most promising for the aforementioned purpose. Findings: The paper finds that the most challenging aspect is to identify the weak signals, and this implies that the current approaches of estimating probabilities are not going to produce the desired results. Big data may hold a solution in the future, but with legislation such as the General Data Protection Regulation, this seems impossible to implement on ethical grounds. Hence, the most prudent approach is to use a margin of safety as advocated by Graham roughly 70 years ago. Indeed, the approach may be to assume that a disaster will take place and use risk management tools to estimate the impact for a given object. Research limitations/implications: The literature review is a summary of a much larger work, and in so doing, the resulting simplification may run the risk of missing out on important details. However, with this risk in mind, the review holds rich enough discussion on complexity to be relevant for research about complex risk management. Practical implications: The current implication for practice is that the paper strongly supports the notion of using a margin of safety as advocated by Graham and his most famous disciple Warren Buffet. This comes from the fact that because context is king, risk management approaches must be applied in their right domain. There is no one right way. In the future, the goal is to develop a quantitative approach that can help the industry in pricing complex risks. Originality/value: The main contribution of the paper is to bring complexity theory more into the domain of risk management with sufficient details that should allow researchers to get conceptual ideas about what might work or not concerning complex risk management. If nothing else, it would be a significant contribution of the paper if it could help increasing the interest in complexity theory. [ABSTRACT FROM AUTHOR]

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The formation of a development portfolio is one of the key challenges facing any level of system. The aim of the article is to present a model of optimal value-oriented portfolio formation for the development of a complex system, taking into account mutual influence of portfolio components on each other. It analyses the methodology of portfolio development management of organizations, considers different approaches to forming a portfolio of projects, proposes the formation of a portfolio of organization development based on the value-oriented approach, considers multi-criteria model of project selection in the organization development portfolio, taking into account the mutual influence of the components of the portfolio on each other. As the basic method of forming a portfolio of regional community development using the value-based approach, taking into account the existing limits on the total value of the portfolio in the computable period is proposed. The problems of incomplete application of the portfolio management methodology in the system of public development management in Ukraine were reflected. The paper determined that although the project approach is increasingly used in Ukraine to manage the development of territories, for many acute problems portfolio development management is not used. The necessity of managers training for portfolio management of regional systems development has been substantiated. Suggested the use of value-oriented methodology of project management to manage regional development, which significantly improves the quality of planning and effectiveness of the implementation of development strategy through projects. [ABSTRACT FROM AUTHOR]

Carbon farming presents an opportunity for the land sector to generate income and transition to more sustainable land management practices. In Australia, establishing a carbon project and earning carbon credits is complex, with project proponents needing to satisfy eligibility requirements and adhere to rigorous measurement, verification, and reporting protocols of approved methods. To address these challenges, a human centered design (HCD) approach was used to deliver a digital solution, serving landowners' needs related to method discovery and reconfiguring how the methodological and scientific complexity of abatement potentials was delivered. The solution, called LOOC-C (pronounced "Look-see"), supports the discovery of abatement methods that are available for a given land area and provides an initial estimate of the potential quantum of carbon sequestered/emitted and the nature of co-benefits associated with each eligible method. Reporting on LOOC-C development and its observed impact demonstrates the role that human centered digital tools have in promoting land management actions that are both sustainable and reasonable to undertake. It equally demonstrates the power of integrating environmental market and user requirements with a robust design methodology. With similar opportunities in environmental markets globally, additional applications of an HCD approach are proposed. In 2012, the Australian government established the Emissions Reduction Fund (ERF) to reward landowners (via awarding Australian Carbon Credit Units, or ACCUs) for the implementation of management practices that either sequester carbon and/or reduce emissions of greenhouse gases. Rigorous eligibility and method requirements are intended to provide confidence in abatement outcomes, but they introduce significant complexity that participants must overcome. 11 years later, uncertainties in the implementation and ACCU generation potential of ERF projects and implications on productivity/co-benefits have limited uptake and the quantum of ACCU generation of land sector enterprises. Digital tools that support the discovery of options and provide estimated potential outcomes, such as the LOOC-C tool described in this paper (), can generate interest and empowerment, helping to initiate decisions toward market participation. [ABSTRACT FROM AUTHOR]

Complexity-oriented approaches built on complexity theories are not widely used in health promotion research. The field of health promotion faces significant difficulties in explaining and addressing unforeseen impacts and side effects due to the widespread tendency to implement health promotion initiatives that are considered best practices. It is important to theoretically embrace the fact that we operate in a complex world and that we, therefore, need to redefine our approaches by acknowledging the complexities involved in promoting health. In this theoretical paper, we propose a set of four complexity-oriented principles for health promotion research based on Niklas Luhmann's systems theory: (1) direct transfer of health knowledge and health competencies is impossible; (2) all individuals and social entities are fundamentally different from each other; (3) the individual's sense of health-related meaning determines what is deemed relevant; and (4) it is essential for communication to meet expectations if it is to be observed. The set of principles presented in this article can be applied to research projects intended to explore and address challenges related to complexity in health promotion settings. It can be used as a lens through which to observe health promotion practice. If health promotion research wants to address the field that we have defined for ourselves as extremely complex and unaddressed by anyone else, we need to embrace approaches that actually do this—by providing health promotion research with a formal framework appropriate to its existing main purposes and concerns. [ABSTRACT FROM AUTHOR]

Wasserstein distributionally robust optimization is a recent emerging modeling paradigm for decision making under data uncertainty. Because of its computational tractability and interpretability, it has achieved great empirical successes across several application domains in operations research, computer science, engineering, and business analytics. Despite its recent empirical success, existing performance guarantees for generic problems are not yet satisfactory. In this paper, we develop the first finite-sample guarantee without suffering from the curse of dimensionality, which describes how the out-of-sample performance of a robust solution depends on the sample size, dimension of the uncertainty, and the complexity of the loss function class in a nearly optimal way. Wasserstein distributionally robust optimization (DRO) aims to find robust and generalizable solutions by hedging against data perturbations in Wasserstein distance. Despite its recent empirical success in operations research and machine learning, existing performance guarantees for generic loss functions are either overly conservative because of the curse of dimensionality or plausible only in large sample asymptotics. In this paper, we develop a nonasymptotic framework for analyzing the out-of-sample performance for Wasserstein robust learning and the generalization bound for its related Lipschitz and gradient regularization problems. To the best of our knowledge, this gives the first finite-sample guarantee for generic Wasserstein DRO problems without suffering from the curse of dimensionality. Our results highlight that Wasserstein DRO, with a properly chosen radius, balances between the empirical mean of the loss and the variation of the loss, measured by the Lipschitz norm or the gradient norm of the loss. Our analysis is based on two novel methodological developments that are of independent interest: (1) a new concentration inequality controlling the decay rate of large deviation probabilities by the variation of the loss and (2) a localized Rademacher complexity theory based on the variation of the loss. Supplemental Material: The online appendix is available at https://doi.org/10.1287/opre.2022.2326. [ABSTRACT FROM AUTHOR]

The field of biotechnology has produced a wide variety of materials and products which are rapidly entering the commercial marketplace. While many developments promise revolutionary benefits, some of them pose uncertain or largely untested risks and may spur debate, consternation, and outrage from individuals and groups who may be affected by their development and use. In this paper we show that the success of any advanced genetic development and usage requires that the creators establish technical soundness, ensure safety and security, and transparently represent the product's ethical, legal, and social implications (ELSI). We further identify how failures to address ELSI can manifest as significant roadblocks to product acceptance and adoption and advocate for use of the "safety-by-design" governance philosophy. This approach requires addressing risk and ELSI needs early and often in the technology development process to support innovation while providing security and safety for workers, the public, and the broader environment. This paper identifies and evaluates major ELSI challenges and perspectives to suggest a methodology for implementing safety-by-design in a manner consistent with local institutions and politics. We anticipate the need for safety-by-design approach to grow and permeate biotechnology governance structures as the field expands in scientific and technological complexity, increases in public attention and prominence, and further impacts human health and the environment. [ABSTRACT FROM AUTHOR]

Visual elements such as graphs, tables, and diagrams are essential components of scientific writing. Although scientific writing textbooks and guides often contain information on how to design such visuals, little has been written on how to effectively discuss those visuals within the text. This article offers a novel heuristic for teaching students how to effectively execute these “passages about visuals” in a way that is both conceptually simple enough to be understood by novices yet rich enough to accommodate the complexity of expert scientific writing. The heuristic consists of a set of “moves”: announce, orient, observe, and explain. Following an explanation of the moves, readers are walked through a variety of examples showing the moves in context and noting the different ways the moves are arranged and executed in published scientific research articles. Pedagogical implications and approaches for using the heuristic in the classroom are then discussed. [ABSTRACT FROM AUTHOR]

The limits of inter-agency understandings of risk in the context of intimate partner violence are well documented. Informed by Hester's (2011) 'three planet' analogy and using empirical data in one police force area in the south of England, this paper offers an exploration of intraagency operations, focusing on police risk assessment practices. Exploring the policing risk lens and the victim-survivor journey together, findings highlight police operate with at least three risk assessment moments (call hander, front-line and Safeguarding Hub) and point to the tensions that result when failing to centralise victim-survivors' own assessment of their risk. Using complexity theory, this paper examines the complex interplay of risk that occurs when the victim-survivor risk journey intersects with the policing aspect of the criminal justice process. [ABSTRACT FROM AUTHOR]

Born globals (BG)' post-entry evolution is a process characterized by superior growth opportunities, but also higher risks of failure. These concerns lead to the fundamental question regarding the factors that may play a role in BGs' post-entry performance and survival. To provide a comprehensive picture on this issue, this paper critically examines 185 articles that have appeared in 39 academic journals over the past three decades. Drawing on complexity theory, we map a dynamic complex system comprising the interplay of six components relating to system inputs, managerial and firm-level capabilities – e.g., innovativeness, learning, and experience – , networks and system outputs – e.g., international growth and survival. Our review also suggests that strategic choices and orientations may act as change catalysts that bring BGs' complex systems to the next stages of evolution, with further consequences on firm expansion. Our review contributes to the extant literature by taking stock of the present state of knowledge, and providing a taxonomy on the components of the dynamic system that influences the post-entry performance and survival of BGs. Furthermore, this paper and the resulting taxonomy unpacks the various sources of BGs' heterogeneity, based on factors such as their different resources, capabilities, and strategies. In doing so, the paper uncovers significant gaps and contradictions in the literature, which opens important opportunities for future research. The paper concludes with a discussion of managerial and public policy implications. [ABSTRACT FROM AUTHOR]

As governments and multilateral institutions launch projects and programs to support climate change mitigation and adaptation, the challenge lies in determining their effectiveness. The high complexity of climate-change programs often makes it difficult to determine their effectiveness through standard monitoring and evaluation procedures. ‘complexity-aware monitoring’ is a qualitative approach to monitoring, recently introduced by international development programs. This increasing awareness of complexity in the evaluation sector opens up a window of opportunity for complexity science to support climate change mitigation and adaptation programs. This paper’s contribution is a hands-on methodology for live monitoring and evaluation of development programs. The methodology is rooted in existing literature on social–ecological systems, as pioneered by Ostrom, and in quantitative methods from complexity science. To illustrate the methodology, an existing climate mitigation project in Madagascar, funded, monitored and evaluated by the Green Climate Fund, is discussed. [ABSTRACT FROM AUTHOR]

With the development of economic globalization and cultural integration, the learning of a second language has become increasingly important for economic, political, and cultural exchanges in the world today. Complex dynamic system theory is an important research theory of foreign language learning methods for nonnative speakers. However, the research and application of the complex dynamic system theory in oral foreign language learning of English as a Foreign Language (EFL) learners are not prominent. The purpose of this paper is to explore the learning situation of oral English of EFL learners from the perspective of the complex dynamic system theory and provide some new learning methods and suggestions for EFL learners' oral English learning based on the research of complex dynamic system theory. First, this article discusses and analyzes the current situation of oral English learning of EFL learners through literature research and a questionnaire survey. Then, based on the related research on the theory of complex dynamic systems, this article proposes countermeasures and learning method recommendations for the problems existing in the current oral English learning of EFL learners. After that, this paper sets up a controlled test of oral English learning through the learning method formulated by the complex dynamic system theory and verifies the learning effect of the oral English learning method proposed in this paper according to the mathematical theory research method of the complex dynamic system. Finally, this article discusses the reliability of the experimental research conclusions based on the error analysis and confidence level estimation of the experimental results. The research results show shows that there is 95% confidence that the second language learning method proposed in this paper under the perspective of the complex dynamic system theory has a positive effect on the oral English learning of EFL learners. [ABSTRACT FROM AUTHOR]

This paper presents an in-depth analysis and research on the spatial distribution pattern of the urban landscape in the Central Plains digital landscape form and proposes an optimization scheme. Based on the basic theories of systematics and complexity, this paper analyzes the self-similar characteristics of urban morphology, establishes the concept of schema, and constructs a multiscale and multilevel morphological map research framework by drawing on the "planar pattern" morphological analysis method of the school and the "matrix, patch, and corridor" spatial expression model of landscape ecology. The framework of morphological map research at multiple scales has been established, and the theory and method of describing, understanding, judging, and analyzing morphological evolution have been formed. Cities have self-similarity at different scales, and urban evolution is a process of recursion from small-scale hierarchy to large-scale hierarchy, and hierarchy is a phenomenon presented by the natural evolution of cities. After any morphological process is completed, it can only be transformed into the other two ways, so the static morphological description can be transformed into dynamic morphological process analysis. [ABSTRACT FROM AUTHOR]

Flexible block partition and newly adopted intra coding tools bring significant performance improvement for next generation video coding, and meanwhile introduce non-negligible encoding complexity increment. This paper presents a scalable intra coding optimization (SICO) scheme for the third generation of audio video coding standard (AVS3). The complexity distribution and inheriting relationship among different partitioning, as well as intra prediction modes, are systematically analyzed. Subsequently, low-complexity algorithms are proposed, which could early exclude unlikely coding modes safely. In particular, a data-driven binary classifier is elegantly trained for the determination of coding unit partitioning. Moreover, the preliminary coding information can be exhaustively utilized for the mode decision in a low-cost manner. The proposed method provides scalable intra coding optimizing solutions, which is eligible to cater to various application scenarios. Experimental results show that the proposed method could achieve a wide range of encoding complexity reduction from 18% to 76% with moderate compression performance loss. One implementation of the proposed method has been adopted to the AVS3 reference software. [ABSTRACT FROM AUTHOR]

Complex system theory is increasingly applied to develop control protocols for distributed computational and networking resources. The paper deals with the important subproblem of finding complex connected structures having excellent navigability properties using limited computational resources. Recently, the two-dimensional hyperbolic space turned out to be an efficient geometry for generative models of complex networks. The networks generated using the hyperbolic metric space share their basic structural properties (like small diameter or scale-free degree distribution) with several real networks. In the paper, a new model is proposed for generating navigation trees for complex networks embedded in the two-dimensional hyperbolic plane. The generative model is not based on known hyperbolic network models: the trees are not inferred from the existing links of any network; they are generated from scratch instead and based purely on the hyperbolic coordinates of nodes. We show that these hyperbolic trees have scale-free degree distributions and are present to a large extent both in synthetic hyperbolic complex networks and real ones (Internet autonomous system topology, US flight network) embedded in the hyperbolic plane. As the main result, we show that routing on the generated hyperbolic trees is optimal in terms of total memory usage of forwarding tables. [ABSTRACT FROM AUTHOR]

This paper explores the non-convex composition optimization consisting of inner and outer finite-sum functions with a large number of component functions. This problem arises in important applications such as nonlinear embedding and reinforcement learning. Although existing approaches such as stochastic gradient descent (SGD) and stochastic variance reduced gradient (SVRG) descent can be applied to solve this problem, their query complexities tend to be high, especially when the number of inner component functions is large. Therefore, to significantly improve the query complexity of current approaches, we have devised the stochastic composition via variance reduction (SCVR). What's more, we analyze the query complexity under different numbers of inner function and outer function. Based on different kinds of estimation of inner component function, we also present the SCVRII algorithm, though the order of query complexities are the same with SCVR. Additionally, we propose an extension to handle the mini-batch cases, which improve the query complexity under the optimal mini-batch size. The experimental results validate our proposed algorithms and theoretical analyses. [ABSTRACT FROM AUTHOR]

Recent years have witnessed the influence of the complex dynamic systems theory (CDST) in the field of second language acquisition (SLA). Thus, new research methods have also been introduced to meet the requirements of investigating the dynamic nature of learner-related factors including L2 affective variables. Among the innovative quantitative research methods which is compatible with the CDST is the idiodynamic method, the application of which is on the rise in SLA research. In this paper, an overall introduction to the idiodynamic method is presented first, followed by a review of the existing literature in SLA studies. Then, it is discussed why this innovative research method is suitable to investigate the dynamic nature of L2 learners' affective variables in the complex network of classroom learning. Also, several relevant research questions that can potentially be formulated and answered using the idiodynamic method are discussed. The paper ends with conclusive remarks on the need for more extensive use of innovative CDST-compatible research methods such as the idiodynamic method in the prospective SLA line of inquiry. [ABSTRACT FROM AUTHOR]

Sidelnikov sequences, a kind of cyclotomic sequences with many desired properties such as low correlation and variable alphabet sizes, can be employed to construct a polyphase sequence family that has many applications in high-speed data communications. Recently, cyclotomic numbers have been used to investigate the linear complexity of Sidelnikov sequences, mainly about binary ones, although the limitation on the orders of the available cyclotomic numbers makes it difficult. This paper continues to study the linear complexity over $\mathbb {F}_{M}$ of $M$ -ary Sidelnikov sequence of period $q-1$ using Hasse derivative, which implies $q=p^{m}$ , $m\geq 1$ and $M|(q-1)$. The $t$ th Hasse derivative formulas are presented in terms of cyclotomic numbers, and some upper bounds on the linear complexity for $M=2$ and 3 are obtained only with some additional restrictions on $q$. Furthermore, concrete illustrations for several families of these sequences, such as $q\equiv 1\pmod {2}$ and $q\equiv 1\pmod {3}$ , show these upper bounds are tight and reachable; especially for $q=2\times 3^{\lambda }+1 (1\leq \lambda \leq 20)$ , the exact linear complexities over $\mathbb {F}_{3}$ of the ternary Sidelnikov sequences are determined; and it turns out that all the linear complexities of the sequences considered are very close to their periods. [ABSTRACT FROM AUTHOR]