Hasil untuk "Information theory"

Meihua Liu, Ning Du, Xinmiao Li et al.

Guided by the control-value theory of achievement emotions, this study examined the relations between control-value appraisals, achievement emotions and English performance in Chinese middle school students, with a focus on the predictive effects of control-value appraisals and achievement emotions and the mediating effects of achievement emotions. The participants were 347 8th graders from a middle school in north China, who took an English test and answered a battery of questionnaires on control and value appraisals, achievement emotions and background information. The major findings were: 1) perceived control significantly predicted positive emotions and negatively predicted negative emotions; perceived value significantly positively predicted positive emotions, anxiety and shame, yet inversely predicted anger and boredom; 2) neither perceived control nor value significantly predicted English performance; 3) hope and anger significantly positively while anxiety and hopelessness negatively predicted English performance; and 4) mediational modelling revealed no significant mediating effects of the achievement emotions on the relationships between perceived control and value and English performance. These findings highlight the importance of control, value and emotions in second/foreign learning as well as the complexity of the relationships between the variables. Based on these findings, suggestions for second/foreign learning and future research are discussed.

Bianca Forrester, Georgia Fisher, Louise A. Ellis et al.

Abstract Introduction The COVID‐19 pandemic challenged primary care to rapidly innovate. In response, the Western Victorian Primary Health Network (WVPHN) developed a COVID‐19 online Community of Practice comprising general practitioners (GPs), practice nurses, pharmacists, aged care and disability workers, health administrators, public health experts, medical specialists, and consumers. This Experience Report describes our progress toward a durable organizational learning health system (LHS) model through the COVID‐19 pandemic crisis and beyond. Methods In March 2020, we commenced weekly Community of Practice sessions, adopting the Project ECHO (Extension of Community Health Outcomes) model for a virtual information‐sharing network that aims to bring clinicians together to develop collective knowledge. Our work was underpinned by the LHS framework proposed by Menear et al. and aligned with Kotter's eight‐step change model. Results There were four key phases in the development of our LHS: build a Community of Practice; facilitate iterative change; develop supportive organizational infrastructure; and establish a sustainable, ongoing LHS. In total, the Community of Practice supported 83 unique COVID‐19 ECHO sessions involving 3192 h of clinician participation and over 10 000 h of organizational commitment. Six larger sessions were run between March 2020 and September 2022 with 3192 attendances. New models of care and care pathways were codeveloped in sessions and network leaders contributed to the development of guidelines and policy advice. These innovations enabled WVPHN to lead the Australian state of Victoria on rates of COVID vaccine uptake and GP antiviral prescribing. Conclusion The COVID‐19 pandemic created a sense of urgency that helped stimulate a regional primary care‐based Community of Practice and LHS. A robust theoretical framework and established change management theory supported the purposeful implementation of our LHS. Reflection on challenges and successes may provide insights to support the implementation of LHS models in other primary care settings.

Calum McHale, Susanne Cruickshank, Tamara Brown et al.

Abstract Objectives To determine the feasibility and acceptability of implementing the Mini-AFTERc intervention. Design Non-randomised cluster-controlled pilot trial. Setting Four NHS out-patient breast cancer centres in Scotland. Participants Ninety-two women who had successfully completed primary treatment for breast cancer were screened for moderate levels of fear of cancer recurrence (FCR). Forty-five were eligible (17 intervention and 28 control) and 34 completed 3-month follow-up (15 intervention and 21 control). Intervention Mini-AFTERc, a single brief (30 min) structured telephone discussion with a specialist breast cancer nurse (SBCN) trained to target the antecedents of FCR. Outcomes Feasibility and acceptability of Mini-AFTERc and the study design were assessed via recruitment, consent, retention rates, patient outcomes (measured at baseline, 2, 4, and 12 weeks), and post-study interviews with participants and SBCNs, which were guided by Normalisation Process Theory. Results Mini-AFTERc was acceptable to patients and SBCNs. SBCNs believe the implementation of Mini-AFTERc to be feasible and an extension of discussions that already happen routinely. SBCNs believe delivery, however, at the scale required would be challenging given current competing demands for their time. Recruitment was impacted by variability in the follow-up practices of cancer centres and COVID-19 lockdown. Consent and follow-up procedures worked well, and retention rates were high. Conclusions The study provided invaluable information about the potential challenges and solutions for testing the Mini-AFTERc intervention more widely where limiting high FCR levels is an important goal following recovery from primary breast cancer treatment. Trial registration ClinicalTrials.gov, NCT0376382 . Registered on 4 December 2018.

Kayoko Ishii, Hiroko Sumita, Hitomi Nagamine et al.

Abstract Background In occupational health, the maintenance and promotion of workers’ health, especially lifestyle motivation-based interventions, have gained considerable attention and are actively implemented. Motivational theories include self-determination theory, and some studies focus on healthy lifestyles. However, the effectiveness of health promotion interventions varies depending on the health awareness and motivation of the participants. Therefore, this study aimed to clarify the processes by which workers are motivated to improve their health and to identify the need for and type of support according to their motivation. Methods Using a mixed-research design, an initial questionnaire survey of 94 employees (mean age = 40.97 ± 9.65) at a multicenter company in Japan, followed by semi-structured interviews with 16 employees (mean age = 40.13 ± 9.45) from the high- and low-motivation groups, were conducted. Multiple regression analysis followed by modified grounded theory-based analysis of the results of the first stage was used and the quantitative and qualitative results were integrated. Results In the first stage, autonomous motivation scores were predicted by the behavioral change stage and relatedness satisfaction/frustration. The second stage revealed that “the process of reflecting and managing one’s own health while receiving support and feedback for maintaining and improving health” was the motivational process of workers. Result integration revealed that motivation increased through repeatedly escaping and adjusting to real problems and situational coping until the behavioral change. Despite interruptions during behavioral change, receiving feedback from others could increase motivation and continued behavioral change. Conclusion Regardless of their level of motivation for health behaviors, workers indicated that support from others was essential. The nature of this support was found to range from providing information to offering feedback. Interventions individualized by the identified process could enable customized motivation-driven health guidance.

Samuel Plesnik, Maria Violaris

We compare how the impossibility of a universal work extractor from coherence arises from different approaches to quantum thermodynamics: an explicit protocol accounting for all relevant quantum resources, and axiomatic, information-theoretic constraints imposed by constructor theory. We first explain how the impossibility of a universal work extractor from coherence is directly implied by a recently proposed constructor-theoretic theorem based on distinguishability, which is scale- and dynamics- independent. Then we give an explicit demonstration of this result within quantum theory, by proving the impossibility of generalising a proposed quantum protocol for deterministically extracting work from coherence. We demonstrate a new connection between the impossibility of universal work extractors and constructor-based irreversibility, which was recently shown using the quantum homogenizer. Finally we discuss additional avenues for applying the constructor-theoretic formulation of work extraction to quantum thermodynamics, including the irreversibility of quantum computation and thermodynamics of multiple conserved quantities.

Ma C, Zhang W, Da S et al.

Chenlu Ma,1 Wen Zhang,1 Shu Da,2 Huan Zhang,3 Xichao Zhang1 1Faculty of Psychology, Beijing Normal University, Beijing, 100875, People’s Republic of China; 2School of Psychology, Nanjing Normal University, Nanjing, 210024, People’s Republic of China; 3Academy of Global Innovation & Governance, University of International Business and Economics, Beijing, 100029, People’s Republic of ChinaCorrespondence: Xichao Zhang, Faculty of Psychology, Beijing Normal University, No. 19 XinJieKouWai Street, HaiDian District, Beijing, 100875, People’s Republic of China, Email xchzhang@bnu.edu.cnPurpose: Environmental uncertainty has reached unprecedented levels in recent years. While there is substantial knowledge about the connection between environmental uncertainty and organizational outcomes, limited attention has been devoted to investigating its impact on employees’ depression and anxiety symptoms. Grounded in job demands-resources theory, this study aims to explore the relationship between environmental uncertainty and employees’ depression and anxiety symptoms, and it further investigates the mediating role of work pressure and the moderating role of union practices.Methods: In September 2022, we undertook a cross-sectional survey study, gathering data from 1081 employees across various enterprises situated in Liaoning, China. Throughout this timeframe, notable global occurrences heightened the awareness of environmental uncertainty. Following the exclusion of participants who did not provide information on the main variables, the final valid sample comprised 940 employees. To test all hypotheses, a series of confirmatory factor analyses and path-analytic procedures were conducted using Mplus 7.0.Results: Our results confirm that environmental uncertainty, as a high job demand, increases employees’ work pressure, thereby elevating rates of anxiety and depression; the indirect relationship between environmental uncertainty and employees’ anxiety and depression through work pressure is stronger when union practices are lower.Conclusion: Our findings indicate the detrimental impact of environmental uncertainty on employees’ mental health, and highlight the roles of work pressure and union practices. In light of this, organizations should take steps to mitigate employees’ perceptions of environmental uncertainty and establish mental health programs, in cooperation with union practices, to protect employees’ mental well-being.Keywords: environmental uncertainty, anxiety, depression, union practices, work pressure

Hye Lim Joy Nam

Introduction.  This short paper addresses the problematic un-situated nature of the holistic framework proposed by Polkinghorne and Given. In 2021, Polkinghorne and Given called for a substantive shift in the information field to a holistic research paradigm. However, framing studies in a contextualised, complex manner has remained an enduring challenge, particularly regarding where information experiences occur. Method.  The author identifies a spatial gap in the holistic framework, traces existing literature on place/space in the information field, and explores M. L. Pratt’s contact zone theory. Analysis and results. The holistic paradigm holds an obfuscated view of place/space and its role in shaping information behaviour. Existing studies and theories that incorporate place/space and its impact on information practices underscore the importance of the spatial. The paper looks to contact zone theory as a useful tool for conceptualising information behaviour in particular sites. Conclusion. This paper argues that contact and zone are both key aspects of information behaviour, as information encounters take place in specific sites, between diverse human and nonhuman agents with different levels of power and influence. The contact zone is suggested as a critical lens to examine spatially bound interactions that could offer a more anchored, multi-agentic vision for researching information behaviour.

Elena G. Panarskaya

Qin Z, Ye X, Liu H et al.

Zhuzhu Qin,1,* Xinxin Ye,2,* Huanju Liu,3 Yining Tao,4 Xutong Zheng,1 Yanxia Zhong,5 Danfeng Chen,1 Wan Ye,6 Chenju Zhan7 1School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China; 2Department of Sports and Exercise Science, College of Education, Zhejiang University, Hangzhou, Zhejiang, China; 3Women’s Hospital and Institute of Genetics, Zhejiang University School of Medicine, Hangzhou, China; 4Department of Global Public Health, Karolinska Institute, Stockholm, Sweden; 5Department of Nursing, Shijiazhuang Medical College, Shijiazhuang, China; 6Department of Nursing, Xiamen Medical College, Xiamen, Fujian, China; 7Department of Nursing, Mindong Hospital Affiliated to Fujian Medical University, Ningde, China*These authors contributed equally to this workCorrespondence: Wan Ye, Department of Nursing, Xiamen Medical College, Xiamen, Fujian, China, Tel +86 13806086169, Email 200600010142@xmmc.edu.cn Chenju Zhan, Department of Nursing, Mindong Hospital Affiliated to Fujian Medical University, No. 89 HeShan Road, Fuan City, Fujian Province, 355000, China, Tel +86 13809562183, Email zhanchenju@yeah.netObjective: This study investigated factors influencing the knowledge, attitudes, practice profiles, and vaccination intentions among Chinese nursing students and nursing interns toward the coronavirus disease (COVID-19) vaccination.Materials and Methods: The multicenter cross-sectional study was based on a self-reported questionnaire collecting information among nursing students and nursing interns from three major geographic regions of China, and the sample was selected by consecutive sampling. The questionnaire was developed by knowledge, attitudes, and practice (KAP) theory. Univariate and multivariate logistic regression were used for statistical analysis.Results: A total of 3180 nursing students and interns (effective rate: 99.8%) from six Chinese provinces were polled. The vaccine hesitation rate was 9.65% (307/3180), 2230 participants (70.1%) had gotten at least one dose of the vaccine, and 643 participants (67.7%) had indicated a readiness to be vaccinated. The results showed that older age, higher academic background, perfect vaccine management, others’ recommendations, influenza vaccination history, epidemic under control, knowledge of vaccines or intervals, and vaccine knowledge training were associated with higher vaccination rates. Conversely, vaccine hesitancy was caused by a perceived lack of physical need, uncertainty about vaccination requirements, and fear of vaccination.Conclusion: This study provided population-based estimates of COVID-19 vaccine uptake intention among mainland Chinese nursing students and interns. Factors such as age, education, vaccine knowledge, and attitudes influence COVID-19 vaccine behaviour. Relevant authorities should understand the barriers to COVID-19 vaccination from knowledge, attitude and practice, which is significant for formulating effective response strategies in future global public health crises.Graphical Abstract: Keywords: COVID-19, vaccine, knowledge, attitudes, practice, nursing students and interns

Ao Sun, Qiuzhao Zhang, Zhangjun Yu et al.

The accuracy and integrity of structural deformation monitoring can be improved by the GNSS/accelerometer integrated system, and gross error detection is the key to further improving the reliability of GNSS/accelerometer monitoring. Traditional gross error detection methods assume that real-state information is known, and they need to establish state iterators, which leads to low computational efficiency. Meanwhile, in multi-sensor fusion, if the sampling rates are different, the change in the dimension of the observation matrix must be considered, and the calculation is complex. Based on state-domain consistency theory, this paper proposes the State-domain Robust Autonomous Integrity Monitoring by Extrapolation (SRAIME) method for identifying slow-growing gross errors for GNSS/accelerometer integrated deformation monitoring. Compared with the traditional gross error detection method, the proposed method constructs state test statistics based on the state estimated value and the state predicted value, and it directly performs gross error identification in the state domain. This paper deduces the feasibility of the proposed method theoretically and verifies that the proposed method does not need to consider the dimension change of the observation matrix in gross error detection. Meanwhile, in the excitation deformation experiments of the Suntuan River Bridge in Anhui and the Wilford Bridge in the United Kingdom, the slow gradient of the slope was added to the measurement domain, and the traditional AIME method and the method proposed in this paper were adopted for the gross error identification of the GNSS/accelerometer fusion process. The results demonstrate that both methods can effectively detect gross errors, but the proposed method does not need to consider the dimensional change in the observation matrix during the fusion process, which has better applicability to GNSS/accelerometer integrated deformation monitoring.

Gocha Ugulava

Artificial intelligence methods and technologies are increasingly included in human's everyday life. Managing actors in the context of their activities, from the planning stage to the decision-making stage, are faced with the need to operate with big data, non-linear, exponentially growing, critically overloaded data scenarios. In these conditions, the need to introduce artificial intelligence technologies is due to the exhaustion of the intellectual and analytical capabilities of a person. The article discusses a variety of methods and approaches of artificial intelligence, examines the content of key algorithms, models and theories, their strengths and weaknesses in such important areas of the economy as planning and decision-making. The focus is on their classification. Due to the dependence of the planning process on environmental factors, both classical and non-classical planning environments are discussed. If the environment is fully observable, deterministic and static (external changes are ignored) and discrete in terms of time and action, then we are dealing with a classical planning environment. In the case of a partially observable or stochastic environment, we get a non-classical planning environment. The simplest and most intuitive approach to the planning process algorithms is a Total Order Planning. A scheduling algorithm with parallel execution of actions or without specifying the sequence of their execution is a Partial Order Planning algorithm. Recent research into the development of efficient algorithms has sparked interest in one of the earliest planning approaches – Prepositional Logic Planning. With the Critical Path Method, a schedule of activities is drawn up as part of a plan with zero critical travel time margin for each activity, taking into account the calculation of the time margin for each activity and sequence of activities. A forward-looking planning method for solving complex problems is a hierarchical decomposition based on a Hierarchical Task Networks. The influence of time and resource factors on planning procedures is separately highlighted. Approaches and methods used in a non-classical planning environment: compatible planning, conditional planning, continuous planning, multi-agent planning. Special attention is paid to the issues of constructing planning models in conditions of uncertainty based on the theoretical-probabilistic (stochastic) approaches. Bayesian networks are used to represent vagueness. The Relational Probability Model includes certain constraints on the presentation means, thereby guaranteeing a fully defined probability distributions. The main tasks of probabilistic representation in temporal models are: filtering, forecasting, smoothing, determining a probabilistic explanation. By combining these algorithms and additional enhancements, three large blocks of temporal models can be obtained: Hidden Markov Models, Kalman Filter, and Dynamic Bayesian Network. Decision theory allows the agent to determine the sequence of actions to be performed. A simpler formal system for solving decision-making problems is decision-making networks. The use of expert systems containing information about utility creates additional opportunities. Sequential multiple decision problems in an uncertain environment, such as Markov Decision Processes, are defined using transition models. When several agents interact simultaneously, game theory is used to describe the rational behavior of agents. As we can see, planning has recently become one of the most interesting and relevant directions in the field of artificial intelligence research. There is still a long way to go: it is necessary to develop a clear vision of the problem of choosing the appropriate specific methods depending on the type of task, perhaps by creating completely new methods and approaches.

A. S. Shilyaeva, S. V. Kurapov, M. E. Zabolotnikov et al.

Introduction. The article considers the modern Russian Cossacks as a complex social object in the trinity of interpersonal, intragroup and intrapersonal communications. The ethno markers of the Cossacks that influence the perception of “friend or foe” are determined; the problem of the concept of the network capital of the Cossacks is formulated.Methodology and sources. The section formulates the construction of network capital from the point of view of structuring social relations in the network approach, and from the point of view of the culture of interactive communication in the network space. The main approaches to the definition and measurement of network capital are shown, its specificity for the social group of Cossack youth is revealed. The network model of the Cossacks and Cossack youth is described as a whole and its part. The role of state-forming values in the Cossack environment is shown. The largest network Cossack youth organizations from different regions of Russia are presented.Results and discussion. The article describes the methodology for researching network capital, organized at the All-Russian Gathering of Cossack Youth in the fall of 2021 in the city of Krasnoyarsk. On the basis of four groups of values of the Cossack youth, namely social, personal, values of the Cossacks and values of the direct contact environment, a network analysis of positive and negative relationships, as well as relationships in subgroups of values, is carried out. As a comparative analysis, the results of measuring the network capital of students of the IT faculty of the evening department are used, which show a clear professional orientation and belonging to a generalized supranational community of IT specialists and a low team-building potential. The authors conclude that the construction of “network capital” is more often used in an empirical sense to obtain information about the mechanisms of access to resources or some kind of influence through network relations.Conclusion. In general, the theory of “network capital” is in the process of its formation and requires further scientific understanding. In the ongoing process of institutionalization of the Cossacks, contradictions often arise between the traditions and values of modern society, which the Cossack youth seeks to resolve in a compromise way. It is concluded that the network capital of the Cossack youth is in the stage of its active accumulation and continuous transformations.

Mulugeta Kassaw Tefera, Zengwang Jin, Shengbing Zhang

With the proliferation of 5G mobile networks within next-generation wireless communication, the design and optimization of 5G networks are progressing in the direction of improving the physical layer security (PLS) paradigm. This phenomenon is due to the fact that traditional methods for the network optimization of PLS fail to adapt new features, technologies, and resource management to diversified demand applications. To improve these methods, future 5G and beyond 5G (B5G) networks will need to rely on new enabling technologies. Therefore, approaches for PLS design and optimization that are based on artificial intelligence (AI) and machine learning (ML) have been corroborated to outperform traditional security technologies. This will allow future 5G networks to be more intelligent and robust in order to significantly improve the performance of system design over traditional security methods. With the objective of advancing future PLS research, this review paper presents an elaborate discussion on the design and optimization approaches of wireless PLS techniques. In particular, we focus on both signal processing and information-theoretic security approaches to investigate the optimization techniques and system designs of PLS strategies. The review begins with the fundamental concepts that are associated with PLS, including a discussion on conventional cryptographic techniques and wiretap channel models. We then move on to discuss the performance metrics and basic optimization schemes that are typically adopted in PLS design strategies. The research directions for secure system designs and optimization problems are then reviewed in terms of signal processing, resource allocation and node/antenna selection. Thereafter, the applications of AI and ML technologies in the optimization and design of PLS systems are discussed. In this context, the ML- and AI-based solutions that pertain to end-to-end physical layer joint optimization, secure resource allocation and signal processing methods are presented. We finally conclude with discussions on future trends and technical challenges that are related to the topics of PLS system design and the benefits of AI technologies.

Xiaojie Yang, Zhenli Hao, Gaotong Ma et al.

In this paper, combined with fuzzy analytic hierarchy process (FAHP), information entropy theory, and set pair analysis (SPA) theory, an improved set pair analysis model (EFAHP-SPA) for open-pit mine slope stability evaluation based on entropy method and FAHP is proposed. Taking the east-side slope of Tonglvshan north open-pit mine in Daye as an example, the proposed method is verified. First, an open-pit mine slope stability evaluation index system with 14 indicators in 4 categories, namely the topography and geomorphology, geological structure, hydrogeology, and other factors, have been constructed. Second, the objective weight and subjective weight of each evaluation index are calculated by entropy and fuzzy analytic hierarchy process, and then the comprehensive weight of the evaluation index is estimated based on subjective weight and objective weight. Afterward, the single-index connection degree between the evaluation index and the evaluation standard of the secondary subsystem is evaluated considering the improved set pair analysis theory, and the comprehensive connection degree of the system is obtained by combining it with the comprehensive weight of each evaluation index. Finally, the confidence criterion is established to discern the risk grade of slope stability in the east-side slope of the north open pit in Daye Tonglvshan mine. Moreover, case studies and comparisons of the proposed model with fuzzy comprehensive evaluation method and Entropy-SPA model were performed to confirm the validity and reliability. The results show that the evaluation results of the proposed EFAHP-SPA model are consistent with the actual situation of open-pit mines and the evaluation results of entropy-SPA model and are somewhat different from those of fuzzy comprehensive evaluation method. It indicates that the proposed EFAHP-SPA evaluation model can objectively evaluate the slope stability of the open-pit mine.

Godelfridus Hadung Lamanepa, Rosenti Pasaribu, Claudia M.M. Maing

<p class="GravityAbstractbody">The purpose of this study was to analyze students' items and abilities—the analysis for mapping test instruments and students' basic concepts regarding optics subjects before lectures are held. The test participants were 35 physics students. The analysis model of item response theory is a one-parameter logistic model or Rasch Model with the scope of analysis of the level of item difficulty, student ability, and statements that fit the item response model. Analysis of item responses and student responses carried out using Winstep version 3.73 software. The results of the qualitative analysis of the test items consisted of memory (C1) analysis (C4). The quantitative analysis using the Rasch model showed that 35% of the total items were difficult category items. For the suitability of test items in the instrument by 85% of items fit or generally function in measurement, more than 57% of students have the geometric optical ability in logit values of 0 to 1. The results of item analysis and student ability become information for teachers to design courses such as method selection, project implementation strategies, and assessments are undertaken.</p><p> </p>

Bo Sun, Simin Li, Jingdong Xie et al.

Wind power has features of uncertainty. When wind power producers (WPPs) bid in the day-ahead electricity market, how to deal with the deviation between forecasting output and actual output is one of the important topics in the design of electricity market with WPPs. This paper makes use of a non-probabilistic approach&#8212;Information gap decision theory (IGDT)&#8212;to model the uncertainty of wind power, and builds a robust optimization scheduling model for wind&#8722;storage&#8722;electric vehicles(EVs) hybrid system with EV participations, which can make the scheduling plan meet the requirements within the range of wind power fluctuations. The proposed IGDT robust optimization model first transforms the deterministic hybrid system optimization scheduling model into a robust optimization model that can achieve the minimum recovery requirement within the range of wind power output fluctuation, and comprehensively considers each constraint. The results show that the wind&#8722;storage&#8722;EVs hybrid system has greater operational profits and less impact on the safe and stable operation of power grids when considering the uncertainty of wind power. In addition, the proposed method can provide corresponding robust wind power fluctuation under different expected profits of the decision-maker to the wind&#8722;storage&#8722;EVs hybrid system.

Chunyu Ding, Yan Su, Shuguo Xing et al.

In the process of lunar exploration, and specifically when studying lunar surface structure and thickness, the established lunar regolith model is usually a uniform and ideal structural model, which is not well-suited to describe the real structure of the lunar regolith layer. The present study aims to explain the geological structural information contained in the channel 2 LPR (lunar penetrating radar) data. In this paper, the random medium theory and Apollo drilling core data are used to construct a modeling method based on discrete heterogeneous random media, and the simulation data are processed and collected by the electromagnetic numerical method FDTD (finite-difference time domain). When comparing the LPR data with the simulated data, the heterogeneous random medium model is more consistent with the actual distribution of the media in the lunar regolith layer. It is indicated that the interior structure of the lunar regolith layer at the landing site is not a pure lunar regolith medium but rather a regolith-rock mixture, with rocks of different sizes and shapes. Finally, several reasons are given to explain the formation of the geological structures of the lunar regolith layer at the Chang’E 3 landing site, as well as the possible geological stratification structure.

G. D. Bukharova, A. V. Kozlova

The paper is devoted to substantiation and development of the model of the web 2.0-technologies implementation in organizing student’s self-dependent work in the course of studying the disciplines based on using the information communications technologies (ICT) in professional activities. The methods applied in the above model development include investigation and analysis of psycho-pedagogical and scientific method materials concerning the research subject; systematization and synthesis of the related data; model development of organizing student’s self-dependent work by using the web 2.0-technologies. The theoretical methodological bases combine the technologies and modeling methods of educational process (P. I. Pidkasistyi, V. A. Slastenin); the theory and methods of organizing student’s independent work (P. I. Pidkasistyi, S. I. Archangelskiy) ; aspects of using web 2.0-technologies in education (E. D. Patarakin, Tim O’Reilly). The paper provides the description of the designed model along with the complex pedagogic conditions for its implementation. The recommendations given by the authors can facilitate development of organizational process of student’s self- dependent work in training for using ICT in professional activities.

Jurij Jaklic, Peter Trkman, Ales Groznik et al.

In today’s global market the main focus of competition is not only between different companies but also between supply chains. Technological changes and organizational improvements are important for effective supply chain management (SCM), however, the main cause of SCM improvements is not the implementation of an information system (IS) itself, but rather a change and an integration of business processes. The paper summarizes the most important concepts of SCM and specifically concentrates on the importance of business process management (BPM) in supply chains, because full advantages can be realized when business processes in the supply chain are well defined, integrated and managed. The main purpose of this paper is to show that successful SCM calls for the maturity of supply chain processes in all involved companies and at the supply chain level, which can be realized by using effective BPM methods. A necessary condition for growing of SCM in terms of supply chain process maturity levels is an inter-organizational information system development and process renovation. Yet, BPM should not be considered as a one-time project of IS implementation and process change, but as a permanent process performance measurement, analysis and continuous improvement of the supply chain processes. The concepts are illustrated with a case study of fuel supply process.