Elias, Norbert (1897–1990)

A few studies on response blocking as well as response interruption and redirection (RIRD) as a treatment for automatically maintained problem behavior have examined different levels of treatment integrity. Results from these studies have shown continued suppression of responding under low levels of integrity for some participants after they were exposed to blocking at full integrity. The current study compared the treatment effects of RIRD at two levels of integrity (100 and 33%). The 33% condition was not preceded by exposure to full integrity. Four children diagnosed with an autism spectrum disorder between the ages of 8 and 16 participated. The effects of treatment integrity on vocal stereotypy were assessed using an ABAB‐variant design in which B consisted of an alternating‐treatments comparison of different levels of integrity. Results varied across participants, and although both conditions decreased stereotypy, 100% integrity produced lower levels of stereotypy quicker than 33%. The current study expands upon current literature by suggesting that lower levels of integrity (33%) may still suppress vocal stereotypy.

In this work we, first, investigate multilayer network planning approaches with different levels of integration by extending a commercial planning tool that accurately models the IP network. The different levels of integration are defined with respect to the degree to which information from the optical layer is considered in the optimization of the IP layer. The impact of traffic demand and topology size is evaluated in terms of the obtained cost savings. Case study results indicate cost savings reaching 25% by holistic multilayer network planning. We then proceed to evaluate the impact of the IP layer routing policy, expressed by the IP link weights, on the cost and latency of a holistic multilayer network design. As many network operators prefer to assign IP link weights based on simple rules that are unaffected by the network conditions, we focus on two weight setting policies that are agnostic to the network conditions: the hop-based policy and the distance-based policy. We find that different IP layer policies may lead to different optimized IP topologies for the same traffic and optical layer topology. It is shown that the optical network's regeneration requirements affect the optimal policy.

Research on the interactions between risk, integration, and performance in supply chains (SCs) is increasingly attracting attention of researchers in recent years. Although risk usually has negative effects on performance, limited evidence has been provided to show whether companies differently exposed to operational risk (i.e., high, moderate, or low exposure) also have different levels of integration and operational performance. Therefore, this study aims to identify and characterize different profiles of operational risk (i.e., supply, manufacturing, and demand risks) between manufacturing companies along with considering contextual factors such as company size and industry type. Data are collected from the fourth round of the High Performance Manufacturing Project and subsequently analyzed by cluster analysis and analysis of variance (ANOVA). Three different clusters have been identified: Two clusters are moderately and highly impacted by operational risk, respectively, while the other cluster is almost not impacted by manufacturing risk but highly impacted by supply risk and demand risk. The results also indicate that companies with different profiles of operational risk have different levels of integration and operational performance. An important contribution of the current study is the development of a hypothesized framework of interactions between operational risk, integration, and operational performance to provide opportunities for further research.

Promoting better economics, renewables and CO2 reduction through trade: A case study for the Eastern Africa Power Pool

Integration of research and development (R&D) with marketing remains a frequent topic in the new product development (NPD) literature, largely because it represents a critical antecedent of new product performance (NPP). Two divergent opinions about this integration exist, such that those who contend that firms should pursue high levels of integration in every case provoke criticisms from those who propose that various NPD processes require different levels of integration. This paper proposes that the two perspectives can be reconciled by taking into account the fact that R&D and marketing are integrated mainly to combine critical knowledge (technological and market) that otherwise would be separate to achieve market success. Following Danneels's approach, we investigate how the effect of R&D–marketing integration on performance change across four types of NPD processes: pure exploitation, pure exploration, technological competence exploitation, and market competence exploitation.Data derived from a deep study of 11 NPD projects by five firms, analyzed through qualitative methods, highlight the necessity to vary the level of integration according to the type of competence to be developed during the NPD process. Our analysis suggests two main conclusions. First, the effect of integration depends strictly on the type of competence that the firm uses to develop and launch a new product. Second, integration does not have a unique effect on performance, but it is necessary to distinguish between market performance (e.g., sales and market share) and process performance (e.g., meeting the planned budget and time to market). In some projects, the effect of integration on the two types of performance is diametrically opposite. In particular, we propose that (1) higher performance will be associated with lower integration in pure exploitative projects; (2) in projects that exploit existing market knowledge, higher market performance will be associated with a higher integration, although these projects tend to offer poor process performance regardless of integration level; (3) in projects that exploit technical knowledge, higher performance will be associated with higher integration; and (4) higher integration will be associated with higher market performance but poorer process performance in pure explorative projects.

Towards a Sociology of International Courts

Voice communication is a critical service within Mission Control Rooms, as voice communication is the most practical and precise way to transmit information between human beings. It is used in any control room environment for space mission support to enable collaboration within the room and to external connected entities. Today’s systems are highly specialized turnkey-based vendor solutions, which are inflexible in terms of adaptability and extension capabilities. These systems are based on vendor related proprietary protocols and are built on top of voice distribution technologies. In this paper we describe the core of a Voice Communication System (VoCS), which directly integrates the special requirements needed for Mission Control Room environments. Our solution will enable an overall system design with component-based implementations and interoperability between different vendors for different parts of the system. In addition our definition of the VoCS core will allow different levels of integration into existing infrastructures, as well as client implementations in the range from fully dedicated hardware-based infrastructures up to the provision of VoCS functionality within Web-based implementations. We will describe the idea using a prototype implementation based on FreeSWITCH, an Open Source media backend with a carrier grade cross-platform multi-protocol soft-switch, and the most differentiating client solution to common VoCS clients, a full virtual Web-based client.

<div class="section abstract"><div class="htmlview paragraph">In the quest for reduced cost and shorter development times for fuel cell systems in industrial applications, two major issues arise. First, the electrochemical behavior of fuel cell systems is inherently difficult to predict. Second, testing fuel cell systems is resource intensive. These issues compound: Setting up an accurate model of a fuel cell system incurs long testing periods for model validation. Further, it does not guarantee acceptable results outside the tested range or for other membrane electrode assembly compositions.</div><div class="htmlview paragraph">To mitigate these two major issues an X in the Loop concept is proposed. Essentially, this is the direct integration of the test sample, here a single fuel cell, into the modelling environment of the whole system. In practice, two strategies with different levels of integration are defined.</div><div class="htmlview paragraph">The first strategy consists of initially deducing the operating parameters of the sample cell from the fuel cell system model. Then, setting them to the sample cell in the test bench. The response of the test sample is finally used to validate the designed system or update the parameters of the fuel cell model.</div><div class="htmlview paragraph">The second strategy is a step further towards the integration of the test sample into the model. Here, the core model of the fuel cell inside the fuel cell system model is completely replaced with the test sample, reducing the need for an accurate electrochemical model while improving the prediction of the behavior of the fuel cell system.</div><div class="htmlview paragraph">Compared to previously proposed testing concepts, here the balance of plants is directly integrated through a digital emulator, leading to a closer representation of the complete system. Furthermore, the test bench results are looped back to the model at run-time leading to a closer match between testing conditions and the real world as well a reduced impact of inaccuracies in the modelling of the fuel cell.</div><div class="htmlview paragraph">On the way to realizing this goal, an experimental test bench capable of showcasing working prototypes of the proposed operating strategies has been built.</div></div>

Technoeconomic Feasibility Study of Cement Plants as Reference Facilities for Centralized CO2 Capture in Industrial Sites

Recently clean energy firms become more attractive for the investors, this leads to the more comprehensive studies in this field. Thus the aim of this study is investigating the impact of oil price volatility on the performance of S&P500 clean energy market by contributing oil price and technology market performance. To explore this relation the Zivot-Andrews test was conducted to check the stationarity of the time series, since a structural break is found during year 2007–2008, and then Bound test co-integration is applied, because of different levels of integration among time series in order to check the probable existence of the long-run relationship in the model. The results indicate that clean energy sector performance converges to its long-run level by 1.09% speed of weekly adjustment. The most magnitude finding of this paper is that, oil price volatility has significant long-run effect on the performance of clean energy sector. However, no significant short-run impact is observable.

The rise of Artificial Intelligence (AI) has produced prophets and prophecies announcing that the age of artificial consciousness is near. Not only does the mere idea that any machine could ever possess the full potential of human consciousness suggest that AI could replace the role of God in the future, it also puts into question the fundamental human right to freedom and dignity. This position paper takes the stand that, in the light of all we currently know about brain evolution and the never-stopping formation of adaptive neural circuitry for learning, memory, decision making and, ultimately, fully conscious reasoning and creativity in the human species, the idea of an artificial consciousness appears misconceived. The paper highlights some of the major reasons why. While awareness to external stimuli for processes such as perception, recognition, and operational problem solving is under the direct control of functionally specific brain networks associated with sensory and cognitive functions across animal species, consciousness is a unique property of the human mind. Potentiated by brain evolution, consciousness has come to be when humans became able to represent, and reflect on, the Self in relation to past, present and future, and to project these representations into possible worlds by drawing and other forms of conceptual and creative expression. Epigenetically determined, shaped by experience, capable of representing real and non-real world states, consciousness is enabled by context-dependent adaptive brain circuits that have evolved on the grounds of self-organizing functional interactions at different levels of integration in a from-local-to global functional brain design. The evolution of the latter being continuous, the limits of consciousness are unpredictable. If cracking the computational code to human consciousness were possible, the resulting algorithms would have to be able to generate temporal activity patterns simulating long-distance signal reverberation across the brain and the de-correlation of spatial signal contents from their temporal signatures. In the light of scientific evidence for complex interactions between implicit (non-conscious) and explicit (conscious) representations in learning, memory, and the construction of conscious representation, the code would have to be capable of making all implicit processing explicit. Algorithms would have to be capable of a progressive, less and less arbitrary selection of temporal activity patterns in a continuously developing neural network structure akin to that of the human brain, from synapses to higher cognitive functional integration. The code would have to possess the self-organizing capacities that generate the brain signatures of phenomenal consciousness. In the biological brain, consolidation or extinction of these temporal brain signatures is driven by external event probabilities according to the principles of Hebbian learning. Consciousness is constantly fed by such learning, capable of generating stable representations despite an incommensurable amount of variability in input data, across time and across individuals, for life-long integration of experience data. Artificial consciousness would require probabilistic adaptive computations capable of emulating all the dynamics of human learning and memory that enable human intelligence and creativity. No AI is likely to ever have such potential.

In Australia, mental health services are delivered by a complex web of public- and private-sector providers. There is a growing recognition that linkages between these groups are not optimal, and a concern that this may lead to poor outcomes. This paper illustrates a conceptual framework for developing, implementing and evaluating programmes concerned with linkages. Drawing on theoretical and practical literature, this paper identifies different levels of integration, issues in evaluating programmes to address poor linkages, and features of useful evaluations. Within this context, it describes the method by which the Public and Private Partnerships in Mental Health Project (Partnership Project) is being evaluated. Conducted by St Vincent's Mental Health Service and The Melbourne Clinic, this is one of several Demonstration Projects in Integrated Mental Health Care funded under the National Mental Health Strategy. Collaboration is hard to conceptualize and collaborative programmes usually have many players and components, and tend to operate within already-complex systems. This creates difficulties for evaluation, in terms of what to measure, how to measure it, and how to interpret findings. In spite of these difficulties, the illustrative example demonstrates a model for evaluating collaborative programmes that is currently working well because it is strongly conceptualized, descriptive, comparative, constructively sceptical, positioned from the bottom up, and collaborative. This model, or aspects of it, could be extended to the evaluation of other mental health programmes and services that have collaborative elements.

Coral reef primary productivity. A hierarchy of pattern and process

E-commerce established the consumer as a freight actor. This new reality in the e-commerce supply chain holds economic, social, and environmental opportunities. First, logistics service providers can capitalize on the willingness to pay of consumers with tailored logistics services. Second, consumers can be confronted with the correct costs of delivery options, raising awareness and influencing their choices' sustainability. Third, policymakers can steer the consumer directly, nudging their behaviour to reach urban freight policy objectives. Until now, the lack of interaction between the logistics service provider and the consumer prevented exploiting these opportunities. In this paper, we look at passenger transport, specifically the concept of Mobility-as-a-Service (MaaS), for inspiration on how to integrate the consumer into the logistics market. We propose conceptualizations for a Logistics-as-a-Service (LaaS) platform with different levels of integration and discuss the role of various stakeholders. We conclude with a suite of research questions that deserve attention to develop further the LaaS idea and its proof of concept for consumer logistics.

Organisational integration is being heralded as a critical “dynamic capability” and is seen as an important strategic issue for firms in the future. This study seeks to explore this issue in the specific context of e‐commerce and information system integration, by considering the model proposed by Poon and Swatman, in the case of small‐ and medium‐sized enterprises (SMEs) in the UK. Poon and Swatman propose that the model of business transformation enabled by traditional IT turns “inside out” when applied to the e‐commerce domain. Their model suggests a hierarchy of levels of e‐commerce integration. At the lowest level firms develop inter‐organisational systems. At the next level they undertake limited integration with existing internal systems, and only at the highest level do they achieve full internal integration. The study, which was carried out by a mailed questionnaire, found that the proposed model is indeed valid. Three distinct groups of firms are identified that correspond to the hierarchical levels proposed in the model. The benefits realised by the firms were found to increase with increasing integration, but the level of process change required was found to be independent of the level of integration. Contextual variables, such as industry sector and organisational size, are explored for firms at the three different levels of integration. Developments of the Poon and Swatman model are suggested.