Journal articles on the topic 'Operational interactions'

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1

Hansten, Philip D., John R. Horn, and Thomas K. Hazlet. "ORCA: OpeRational ClassificAtion of Drug Interactions." Journal of the American Pharmaceutical Association (1996) 41, no. 2 (March 2001): 161–65. http://dx.doi.org/10.1016/s1086-5802(16)31244-x.

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2

Bloemhof-Ruwaard, Jacqueline M., Paul van Beek, Leen Hordijk, and Luk N. Van Wassenhove. "Interactions between operational research and environmental management." European Journal of Operational Research 85, no. 2 (September 1995): 229–43. http://dx.doi.org/10.1016/0377-2217(94)00294-m.

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3

Morales-Rincon, Nataly, Eduardo Morteo, and Christian Alejandro Delfín-Alfonso. "Influence of artisanal fisheries on the behaviour and social structure of Tursiops truncatus in the South-western Gulf of Mexico." Journal of the Marine Biological Association of the United Kingdom 99, no. 8 (September 10, 2019): 1841–49. http://dx.doi.org/10.1017/s002531541900078x.

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AbstractBehavioural plasticity in animals is tested whenever competitive interactions for space and/or food resources occur between wildlife and human activities. This study uses the concepts of operational and non-operational interactions between bottlenose dolphins (Tursiops truncatus) and artisanal fisheries in Alvarado, to search for differences in behaviour, age structure and group size. We conducted 20 surveys between 2015 and 2016, and recorded 64 groups by means of scan sampling from either a research boat or a fixed vantage point. Average dolphin group size was small (${\bar{\rm x}}$ = 3.2, SD = 2.2 individuals) and fewer individuals were commonly present when interaction with fisheries occurred. Operational interactions were defined within the first 30 m and occurred mainly with lone individuals (54% recorded from the lighthouse and 82% during surveys); this benchmark also accounted for higher frequencies in locomotion and feeding (χ2 = 83.10; df = 7; P < 0.001). We found a higher rate of new behavioural events for dolphin groups furthest from human activities, as well as a decrease in behaviours that imply greater body exposure as dolphins approach the fishing spots. Age structure and dolphin group size were not different during and in the absence of interaction with fisheries, but most interactions involved male dolphins. Behavioural variations in the dolphins' repertoire are likely a strategy to reduce the risk of injuries or death when interacting with human activities; these dolphins seem to have habituated to or at least tolerate fishing activities within the study area, possibly constituting a sex-biased pressure.
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Rashid, Fryad, and John McGregor. "Augmenting a Hazard Analysis Method with Error Propagation Information for Safety-Critical Systems." Journal of System Safety 54, no. 2 (October 1, 2018): 31–39. http://dx.doi.org/10.56094/jss.v54i2.72.

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Safety-critical system development requires an explicit design to manage component failures and unanticipated conditions of abnormal interaction between system components as hazards that affect the safety and reliability of the system. The potential effects of residual hazards in the operational system context must be reduced to an acceptable level of risk. System reliability focuses on providing continued operational capability in spite of failures. System safety focuses on unsafe conditions because of failures and unpredicted interactions between system components.
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Duives, Dorine C., Winnie Daamen, and Serge P. Hoogendoorn. "Operational Walking Dynamics of Crowds Modeled with Linear Regression." Transportation Research Record: Journal of the Transportation Research Board 2623, no. 1 (January 2017): 90–97. http://dx.doi.org/10.3141/2623-10.

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In this study the influence of interaction characteristics on operational walking dynamics within a crowd—specifically the influence of the distance headway, time headway, angle of sight, angle of interaction, walking speed, and number of pedestrians located nearby on a pedestrian’s change in speed and direction—is investigated. To the authors’ best knowledge, this is the first time that the combined effect of the characteristics of interactions between pedestrians on the operational walking dynamics of pedestrians has been quantified. The walking speed and the number of pedestrians in close proximity were found to influence the adaptation of speed and direction. The other characteristics of the interaction affect either the change in speed (i.e., distance headway and interaction angle) or the change in direction (i.e., time headway and angle of sight). The results of this study strongly indicate that the density experienced by pedestrians is not the only characteristic of the crowd that affects pedestrians’ operational walking dynamics. Consequently, to model crowd movements correctly, the other characteristics of the interaction must also be taken into account in pedestrian flow theory and simulation models.
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Bohr Brask, Jonatan, Fabien Clivaz, Géraldine Haack, and Armin Tavakoli. "Operational nonclassicality in minimal autonomous thermal machines." Quantum 6 (March 22, 2022): 672. http://dx.doi.org/10.22331/q-2022-03-22-672.

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Thermal machines exploit interactions with multiple heat baths to perform useful tasks, such as work production and refrigeration. In the quantum regime, tasks with no classical counterpart become possible. Here, we consider the minimal setting for quantum thermal machines, namely two-qubit autonomous thermal machines that use only incoherent interactions with their environment, and investigate the fundamental resources needed to generate entanglement. Our investigation is systematic, covering different types of interactions, bosonic and fermionic environments, and different resources that can be supplied to the machine. We adopt an operational perspective in which we assess the nonclassicality of the generated entanglement through its ability to perform useful tasks such as Einstein-Podolsky-Rosen steering, quantum teleportation and Bell nonlocality. We provide both constructive examples of nonclassical effects and general no-go results that demarcate the fundamental limits in autonomous entanglement generation. Our results open up a path toward understanding nonclassical phenomena in thermal processes.
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Bell, Catherine, Peter Shaughnessy, Margie Morrice, and Bob Stanley. "Marine mammals and Japanese long-line fishing vessels in Australian waters: operational interactions and sightings." Pacific Conservation Biology 12, no. 1 (2006): 31. http://dx.doi.org/10.1071/pc060031.

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Observers from the Australian Fisheries Management Authority worked on randomly chosen Japanese long-line vessels in the Australian Fishing Zone (AFZ) between 1980 and 1997. Observer reports (n = 451) were inspected for interactions or sightings of marine mammals. An operational interaction was defined as an activity or behaviour that involved direct contact between a marine mammal and fishing gear, bait, target fish or bycatch, or indications that the marine mammal was feeding. A sighting was defined as the recording of marine mammals that passed the vessel without changing course and/or did not appear to interact with the vessel or its gear. Observers witnessed 23 interactions and made another 44 sightings of marine mammals. A further 24 interactions and sightings were relayed by crew members. Killer whales were reported most frequently: most incidences of fish being damaged, taken or frightened away were attributed to them. Eleven marine mammals were caught: two died, seven were released, and the fate of two others was not recorded. Between 1991 and 1996, when observer coverage was 11.5% overall in the AFZ, the incidence of interactions was 1.71 per million hooks set. The estimated number of interactions in that seven-year period was 157 in the AFZ. Since 1997, the long-line fishery has been conducted by Australian vessels, primarily off the east coast of mainland Australia in warm-temperate waters. A higher proportion of interactions can be expected with killer whales and short-finned pilot whales in these waters, and fewer with seals.
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8

Child, Simon F. J., and Stuart Shaw. "Towards an operational framework for establishing and assessing collaborative interactions." Research Papers in Education 34, no. 3 (January 21, 2018): 276–97. http://dx.doi.org/10.1080/02671522.2018.1424928.

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9

MARTIN, G. R., S. J. MacLENNAN, M. MAXWELL, and R. R. SMITH. "Operational Studies of Synergistic Interactions with 5-HT1B/1D Receptors." Annals of the New York Academy of Sciences 861, no. 1 ADVANCES IN S (December 1998): 251–52. http://dx.doi.org/10.1111/j.1749-6632.1998.tb10207.x.

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10

Tournier, L., and M. Chaves. "Uncovering operational interactions in genetic networks using asynchronous Boolean dynamics." Journal of Theoretical Biology 260, no. 2 (September 2009): 196–209. http://dx.doi.org/10.1016/j.jtbi.2009.06.006.

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11

Stronks, Sara, and Otto M. J. Adang. "Critical moments in police-citizen reconciliation." Policing: An International Journal of Police Strategies & Management 38, no. 2 (May 18, 2015): 366–80. http://dx.doi.org/10.1108/pijpsm-12-2014-0136.

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Purpose – The purpose of this paper is to analyze the interaction of police and citizen representatives during critical moments in reconciliation processes through a relational model. Design/methodology/approach – Based on 26 in-depth interviews with key actors in three different cases of media-salient police-citizen group conflict, the interactions in the run-up to, during and after five moments that were critical in the transformation from conflict to cooperation, were analyzed. In focussing on the role of the intergroup relationship in conflict interaction, the applicability of relationship-value, compatibility and security in defining this relationship were explored. Findings – Although interactions during critical moments differed along the specific conflict contexts, three chronological stages could be deduced. In the first stage, interactions were tensed and emotional. During the second stage, repressing this insecurity through the exchange of value and compatibility signals was important. In the third stage, the transformation toward friendlier, cooperative dialogue and a less tensed atmosphere was made. Emotional expression, information sharing and emphasizing compatibility seemed particularly important in (re)defining and negotiating police-citizen relationships. Research limitations/implications – In analysis, the authors had to rely on limited and retrospective accounts of interactions and attitudes and its indivertible errors. Originality/value – This is one of very few studies that analyses police-involved post conflict interactions with a relational model. With regard to the importance of strong police-citizen relationships, the results should be of value to any operational police worker and specifically those who are involved in operational or strategic conflict-management and communication.
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12

Pham, Hai Thanh, and Chiara Verbano. "Identification and Characterization of Supply Chain Operational Risk Profiles in Manufacturing Companies." Sustainability 14, no. 4 (February 10, 2022): 1996. http://dx.doi.org/10.3390/su14041996.

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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.
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13

Laman, Jon D., Mark De Boer, and Bert A. 'T Hart. "CD40 in Clinical Inflammation: From Multiple Sclerosis to Atherosclerosis." Developmental Immunology 6, no. 3-4 (1998): 215–22. http://dx.doi.org/10.1155/1998/69628.

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The interactions of CD40 and CD40L have been known for some time to critically regulate B-cell responses with respect to proliferation, isotype switching, antibody production, and memory formation. More recent findings demonstrated that CD40 can be expressed on several other antigen-presenting cell (APC) types such as macrophages, dendritic cells, and fibroblasts. This expression of CD40 regulates T-cell-APC interaction and is centrally involved in a wide array of inflammatory events. Here, currently available data are reviewed demonstrating that CD40- CD40L interactions are operational in two chronic inflammatory clinical conditions, namely, multiple sclerosis and atherosclerosis. The functional correlates of these interactions are discussed in the light of recent other findings, shedding light on the multiple effects of CD40- CD40L interactions.
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14

Abrahamsson, Gun, Hans Englund, and Jonas Gerdin. "On the (re)construction of numbers and operational reality." Qualitative Research in Accounting & Management 13, no. 2 (June 20, 2016): 159–88. http://dx.doi.org/10.1108/qram-01-2016-0009.

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Purpose This paper aims to examine the mobilization of management accounting (MA) numbers and metrics in social interactions. The purpose is to develop a model of how and why managers perceive and mobilize (new) MA numbers/metrics in a changing way over time in situated face-to-face interactions. Design/methodology/approach An observation-based qualitative field study of a change project in a large manufacturing company is used as the basis for our analysis. Findings The empirical study shows that MA numbers and metrics are essential when semi-distant managers strive to solve problems and achieve radical improvement targets, but that the ways in which existing and new metrics are perceived and mobilized during face-to-face interactions change over time. The study provides both a detailed account of the emergent nature of the transformation process and a number of mechanisms as to why managers (inter-)act the way they do to produce such change. Originality/value The paper problematizes the generally held view that MA numbers and metrics primarily work as a structuring device in face-to-face interactions, and also, how the processes are constituted through which MA is transformed into such a structuring device. The paper also adds new insights to our understandings of why managers (inter-)act the way they do to produce MA change.
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15

Li, Chengzhang, Minghui Jiang, and Xuchuan Yuan. "Managing service capacity with boundedly rational consumers under social interactions." Kybernetes 49, no. 3 (May 22, 2019): 660–80. http://dx.doi.org/10.1108/k-09-2018-0489.

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Purpose Consumers are inclined to join longer queues due to social interactions in service consumptions. This purchase behavior brings in operational challenges in terms of capacity planning, which affects consumers’ demand, leading to an unstable and fluctuated arrival process. This paper aims to investigate the dynamic characteristics of the arrival process of a service system with boundedly rational consumers whose purchase decisions are influenced by the queue length under social interactions. Design/methodology/approach Consumers’ bounded rationality is modeled based on the random utility theory. Due to social interactions, the equilibrium queue length and its interaction with the expected waiting time affect consumers’ value perception. The authors first analyze the optimal service capacity decision with or without considering the influence of social interactions in a static setting. They then focus on the dynamic characteristics of the arrival process by a one-dimensional dynamical model in terms of the arrival rate. Findings This paper finds that the service system can behave chaotic in terms of arrival rate dynamics under social interactions. The results highlight the dynamical complexity of a simple service system due to consumers’ behavioral factors and the influence of social interactions, which may be the critical drivers leading to fluctuated and uneven demand. Originality/value The findings demonstrate that due to consumers’ limited cognitive ability and the influence of social interactions, the demand to a service system can be stable, periodic or even chaotic in terms of the arrival process. This study provides an alternative explanation to the observed demand fluctuations in various service processes under the influence of social interactions, which is important for service providers to effectively manage service capacity to achieve a stable service process and improve operational efficiency.
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Zhao, Meng, and Theodore P. Stank. "Interactions between operational and relational capabilities in fast food service delivery." Transportation Research Part E: Logistics and Transportation Review 39, no. 2 (March 2003): 161–73. http://dx.doi.org/10.1016/s1366-5545(02)00045-5.

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17

Holland, M. C., J. B. Metternich, C. Mück-Lichtenfeld, and R. Gilmour. "Cation–π interactions in iminium ion activation: correlating quadrupole moment & enantioselectivity." Chemical Communications 51, no. 25 (2015): 5322–25. http://dx.doi.org/10.1039/c4cc08520e.

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18

Sahal, Radhya, Saeed H. Alsamhi, John G. Breslin, Kenneth N. Brown, and Muhammad Intizar Ali. "Digital Twins Collaboration for Automatic Erratic Operational Data Detection in Industry 4.0." Applied Sciences 11, no. 7 (April 2, 2021): 3186. http://dx.doi.org/10.3390/app11073186.

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Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that the real product and its virtual counterpart are twins that travel a parallel journey from design and development to production and service life. The intelligence that comes from DTs’ operational data supports the interactions between the DTs to pave the way for the cyber-physical integration of smart manufacturing. This paper presents a conceptual framework for digital twins collaboration to provide an auto-detection of erratic operational data by utilizing operational data intelligence in the manufacturing systems. The proposed framework provide an interaction mechanism to understand the DT status, interact with other DTs, learn from each other DTs, and share common semantic knowledge. In addition, it can detect the anomalies and understand the overall picture and conditions of the operational environments. Furthermore, the proposed framework is described in the workflow model, which breaks down into four phases: information extraction, change detection, synchronization, and notification. A use case of Energy 4.0 fault diagnosis for wind turbines is described to present the use of the proposed framework and DTs collaboration to identify and diagnose the potential failure, e.g., malfunctioning nodes within the energy industry.
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Qian, Bingxue, Ning Zhang, and Congliang Wu. "Estimate Spatial Spillover of Airport Operational Efficiency in the YRD Region." Sustainability 14, no. 2 (January 17, 2022): 1019. http://dx.doi.org/10.3390/su14021019.

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Accurate measurement of airport operational efficiency and the analysis of key influencing factors can provide theoretical references for regional airport planning and air traffic management. Many studies are conducted on the operational efficiency of airports in the region, but little attention is paid to their interactions. To fill this gap, this paper measures the operational efficiency of airports in four major cities in the Yangtze River Delta (YRD) region, and on this basis, the spatial Durbin model is used to explore the influencing factors and spillover effects of airport operational efficiency based on two aspects: airport physical characteristics and regional characteristics. The study demonstrates that the efficiency of airport operations has a significant negative spillover effect, indicating that the efficiency of neighboring airports evolves in a competitive interaction. In terms of direct effects, the number of flights, the number of destinations, airport capacity utilization and GDP are important factors affecting airport efficiency. In terms of spillover effects, this paper found that the population and income positively affect the efficiency of local airport operations, while the number of flights and airport capacity utilization effects have negative effects.
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Amani, T., M. Nosrati, and T. R. Sreekrishnan. "Anaerobic digestion from the viewpoint of microbiological, chemical, and operational aspects — a review." Environmental Reviews 18, NA (December 2010): 255–78. http://dx.doi.org/10.1139/a10-011.

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Anaerobic digestion (AD) is intrinsically a sequential complex chemical and biochemical process, and many factors (microbiological, operational, and chemical) can affect its performance. The great complexity of AD may lead to many serious problems (such as instability, long retention times, low efficiency, and high polluted supernatant) that prevent this technique from being widely used and commercialized. The aim of this paper is to review the present knowledge of the AD process in view of its microbiological, operational, and chemical aspects. Different groups of anaerobic microorganisms with specific growth conditions, physiological properties, and metabolic activities are involved in the AD process. Interactions of anaerobic microorganisms are incredibly complicated, and the effective performance of AD strongly depends on the balance of these relationships. The syntrophic interaction of acetogens and methanogens is the most important relationship in AD because acetogenesis and methanogenesis reactions under thermodynamic standard conditions are endergonic and naturally do not occur. Moreover, operational and chemical factors affect the anaerobes in certain ways. It is believed that there are many ambiguous points in AD that are not yet known. Therefore, by controlling and monitoring each of the microbiological, operational, and chemical parameters, AD performance may be enhanced.
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Mariño, Oscar, Felipe Muñoz, and Wolfram Jahn. "Soot production modelling for operational computational fluid dynamics fire simulations." Journal of Fire Sciences 38, no. 3 (March 1, 2020): 284–308. http://dx.doi.org/10.1177/0734904120905579.

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With the aim of minimising the losses produced by fire accidents, fire engineering applies physics and engineering principles to preserve the integrity of people, environment and infrastructure. Fire modelling is complex due to the interaction between chemistry, heat transfer and fluid dynamics. Commercially available simulation tools necessarily simplify this complexity, excluding less fundamental processes, such as soot production. By not including this compound in the simulations, the interactions of radiation heat transfer, fire propagation and toxicity must be approximated based on input parameters that are often not well defined. In this work, two semi-empirical soot models are incorporated in the fire dynamics simulator. The models are compared against experimental data. For the operational viability in large-scale scenarios, a correction factor for the local variables is proposed as a function of the cell size, achieving good agreement with experimental data in terms of the amount of soot generated.
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Ugalde-Salas, Pablo, Héctor Ramírez C., Jérôme Harmand, and Elie Desmond-Le Quéméner. "Microbial Interactions as Drivers of a Nitrification Process in a Chemostat." Bioengineering 8, no. 3 (February 25, 2021): 31. http://dx.doi.org/10.3390/bioengineering8030031.

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This article deals with the inclusion of microbial ecology measurements such as abundances of operational taxonomic units in bioprocess modelling. The first part presents the mathematical analysis of a model that may be framed within the class of Lotka–Volterra models fitted to experimental data in a chemostat setting where a nitrification process was operated for over 500 days. The limitations and the insights of such an approach are discussed. In the second part, the use of an optimal tracking technique (developed within the framework of control theory) for the integration of data from genetic sequencing in chemostat models is presented. The optimal tracking revisits the data used in the aforementioned chemostat setting. The resulting model is an explanatory model, not a predictive one, it is able to reconstruct the different forms of nitrogen in the reactor by using the abundances of the operational taxonomic units, providing some insights into the growth rate of microbes in a complex community.
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Schultz, Michael, and Stefan Reitmann. "Consideration of Passenger Interactions for the Prediction of Aircraft Boarding Time." Aerospace 5, no. 4 (September 30, 2018): 101. http://dx.doi.org/10.3390/aerospace5040101.

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In this paper we address the prediction of aircraft boarding using a machine learning approach. Reliable process predictions of aircraft turnaround are an important element to further increase the punctuality of airline operations. In this context, aircraft turnaround is mainly controlled by operational experts, but the critical aircraft boarding is driven by the passengers’ experience and willingness or ability to follow the proposed procedures. Thus, we used a developed complexity metric to evaluate the actual boarding progress and a machine learning approach to predict the final boarding time during running operations. A validated passenger boarding model is used to provide reliable aircraft status data, since no operational data are available today. These data are aggregated to a time-based complexity value and used as input for our recurrent neural network approach for predicting the boarding progress. In particular we use a Long Short-Term Memory model to learn the dynamical passenger behavior over time with regards to the given complexity metric.
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Ardag, Dorukhan, and Donald T. Resio. "Inconsistent Spectral Evolution in Operational Wave Models due to Inaccurate Specification of Nonlinear Interactions." Journal of Physical Oceanography 49, no. 3 (March 2019): 705–22. http://dx.doi.org/10.1175/jpo-d-17-0162.1.

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AbstractThe introduction of third-generation (3G) models was based on the premise that wave spectra could evolve without prior shape restrictions only if the representation for nonlinear interactions contained as many degrees of freedom as the discretized spectrum being modeled. It is shown here that a different criterion is needed to accurately represent nonlinear spectral evolution within models, a more rigorous criterion such that the number of degrees of freedom in the nonlinear source term must be equal to the intrinsic number of degrees of freedom in the theoretical form of this source term, which is larger than the degrees of freedom in the spectrum. Evolution of spectral shapes produced by the current approximation for nonlinear interactions in 3G models, the discrete interaction approximation (DIA), is compared to the full integral solution for three different time scales: 1) relaxation of the equilibrium range following a perturbation, 2) spectral evolution of the equilibrium range during an interval of constant winds, and 3) the evolution of spectral shape during transition to swell during propagation over long distances. It is shown that the operational nonlinear source term produces significant deviations in the evolution of the wave spectra at all of these scales because of its parametric reduction of the number of degrees of freedom and incorrect energy flux scaling. It is concluded that the DIA does not meet the critical criterion for allowing a spectrum to evolve to spectral shapes consistent with those observed in nature.
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Finney, Mark A., and Sara S. McAllister. "A Review of Fire Interactions and Mass Fires." Journal of Combustion 2011 (2011): 1–14. http://dx.doi.org/10.1155/2011/548328.

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The character of a wildland fire can change dramatically in the presence of another nearby fire. Understanding and predicting the changes in behavior due to fire-fire interactions cannot only be life-saving to those on the ground, but also be used to better control a prescribed fire to meet objectives. In discontinuous fuel types, such interactions may elicit fire spread where none otherwise existed. Fire-fire interactions occur naturally when spot fires start ahead of the main fire and when separate fire events converge in one location. Interactions can be created intentionally during prescribed fires by using spatial ignition patterns. Mass fires are among the most extreme examples of interactive behavior. This paper presents a review of the detailed effects of fire-fire interaction in terms of merging or coalescence criteria, burning rates, flame dimensions, flame temperature, indraft velocity, pulsation, and convection column dynamics. Though relevant in many situations, these changes in fire behavior have yet to be included in any operational-fire models or decision support systems.
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Hamilton, Nicholas, Dennice Gayme, and Raúl Bayoán Cal. "Wind plant controls." Journal of Renewable and Sustainable Energy 14, no. 6 (November 2022): 060401. http://dx.doi.org/10.1063/5.0133996.

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The development of operational strategies for wind farms as an integrated plant system to achieve a variety of goals from elevating power production to reducing maintenance needs has generated a great deal of interest in recent years. Achieving these operational goals requires an estimate of the energy available and the wind conditions affecting each turbine. The importance of the aerodynamic interaction of wind turbines with the dynamic atmospheric resource means that wakes (the momentum deficit due to power extraction) and their interactions through the farm have the largest influence on the available energy. Predicting the influence of wakes and their interactions, therefore, form the basis of wind farm control strategies to reduce power production losses, track a power signal, mitigate structural loading, or balance the wear and tear on wind turbines to decrease operation and maintenance costs. The articles in the “Advances in Wind Plant Controls: Strategies, Implementation, and Validation” Special Topic in the Journal of Renewable and Sustainable Energy describe the further development and evaluation of wake models and new approaches to wake steering that exploit advances in sensing or estimation to improve control performance.
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GEVORGYAN, T. V., A. R. SHAHINYAN, and G. YU KRYUCHKYAN. "PRODUCTION OF FOCK STATES IN NONLINEAR OSCILLATOR DUE TO PULSED EXCITATION." International Journal of Modern Physics: Conference Series 15 (January 2012): 31–39. http://dx.doi.org/10.1142/s2010194512006927.

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The Fock states are usually generated by using interaction of oscillatory mode with atomic systems driven by a coherent field. We demonstrate that production of Fock states is also realized in the specific operational regimes of a single nonlinear oscillator without any interactions with atomic systems due to its excitation by a series of short Gaussian laser pulses. These results are demonstrated for the case of the strong Kerr nonlinearity and in the presence of dissipation and decoherence.
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Roulland, Frédéric, Jos Rozen, and John C. Handley. "Insights of human-transportation system interactions inferred from public transit operational data." Transportation Research Procedia 32 (2018): 24–33. http://dx.doi.org/10.1016/j.trpro.2018.10.003.

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De Wever, O. "23 Invited lecture: Tumor–stroma interactions promote operational flexibility in cancer progression." Oral Oncology 51, no. 5 (May 2015): e34-e35. http://dx.doi.org/10.1016/j.oraloncology.2015.02.025.

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Kumar, Pawan, Darshan Kumar, and Mahesh Chand. "Analysing the interactions of operational issues in sustainable supply chain: a framework." International Journal of Services and Operations Management 32, no. 4 (2019): 507. http://dx.doi.org/10.1504/ijsom.2019.099479.

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Kumar, Pawan, Mahesh Chand, and Darshan Kumar. "Analysing the interactions of operational issues in sustainable supply chain: a framework." International Journal of Services and Operations Management 32, no. 4 (2019): 507. http://dx.doi.org/10.1504/ijsom.2019.10020833.

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32

Matsumoto, Shimpei, and Hiroyuki Kojima. "Constructing an Interaction Support System with the Capability of Social Networking Service for a Practical Lecture and Examining its Efficient Operational Policy." International Journal of Knowledge and Systems Science 7, no. 2 (April 2016): 1–27. http://dx.doi.org/10.4018/ijkss.2016040101.

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Recently, various types of Social Networking Service (SNS) have been actively utilized in many educational situations, and the effectiveness has been continuously reported. The aim of this paper is to develop a web based discussion support system, to introduce the proposed system to a real university lecture, and to examine the operational policy for improving the learning effect from the viewpoint of quantitative perspective. The system of this paper offers interactivity between lecturers and students to dialogue opportunities in a PBL practical lecture. To support interactions in learning, a web application of SNS with groupware function and micro-blog based communication function similar to Twitter is developed with LAMP and Ajax, and it works as an information transmission platform for enhancing interactions and collaborative activities. All students can post their comments and questions by the form of short messages through a web browser on their own cell/smart phone or PC device under unique online name. The constructed SNS is only available within local area network, and only messages related to the contents of the lecture are accepted by the prepared operational policy. The constructed SNS continues to work not only during lecture but also after class. The process and the history of interactions continue to be stored on the virtual space, so a lecturer can get to know the condition of students such as the depth of understanding and the difficulty level of the contents, and besides, students can easily cooperate with each other. This paper prepared 3 different operational policies for each learning group, and clarified the difference between these operational policies from the viewpoint of complex network theory. Also by comparing each operational policy on the basis of subjective evaluation result and the quality of learning outcome, an efficient operational policy to promote SNS blended learning was clarified. Additionally, the characteristics of SNS utilization according to student's learning outcome were shown with principal component analysis.
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33

Lyle, Jeremy M., Simon T. Willcox, and Klaas Hartmann. "Underwater observations of seal–fishery interactions and the effectiveness of an exclusion device in reducing bycatch in a midwater trawl fishery." Canadian Journal of Fisheries and Aquatic Sciences 73, no. 3 (March 2016): 436–44. http://dx.doi.org/10.1139/cjfas-2015-0273.

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Interactions between seals and midwater trawl operations in the Australian Small Pelagic Fishery are common and can be lethal. The nature of interactions and effectiveness of a seal exclusion device (SED) in mitigating lethal interactions was assessed using underwater video. Recent fishing activity and the phase of the trawl operation significantly influenced interaction rates; interactions increased with the amount of recent trawl activity and were highest while the trawl was being set. Most seals accessed the trawl via the net entrance and exited via an escape opening located at the base of the SED. The size of the escape opening was the only operational factor that influenced mortality rates — simply enlarging the escape hole reduced lethal interactions by 79%. However, since all deceased seals dropped out of the net before they were brought on board, they would have gone unobserved without video monitoring. Limiting the concentration of fishing activity in space and time and refinement of the SED design, in particular to address dropouts, is recommended if mortality rates are to be reduced.
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34

Stavroglou, Stavros K., Athanasios A. Pantelous, H. Eugene Stanley, and Konstantin M. Zuev. "Unveiling causal interactions in complex systems." Proceedings of the National Academy of Sciences 117, no. 14 (March 25, 2020): 7599–605. http://dx.doi.org/10.1073/pnas.1918269117.

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Throughout time, operational laws and concepts from complex systems have been employed to quantitatively model important aspects and interactions in nature and society. Nevertheless, it remains enigmatic and challenging, yet inspiring, to predict the actual interdependencies that comprise the structure of such systems, particularly when the causal interactions observed in real-world phenomena might be persistently hidden. In this article, we propose a robust methodology for detecting the latent and elusive structure of dynamic complex systems. Our treatment utilizes short-term predictions from information embedded in reconstructed state space. In this regard, using a broad class of real-world applications from ecology, neurology, and finance, we explore and are able to demonstrate our method’s power and accuracy to reconstruct the fundamental structure of these complex systems, and simultaneously highlight their most fundamental operations.
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35

Li, Chengzhang, Minghui Jiang, and Xuchuan Yuan. "MANAGING PRICE AND SERVICE RATE IN CUSTOMER-INTENSIVE SERVICES UNDER SOCIAL INTERACTIONS." Journal of Business Economics and Management 20, no. 5 (July 12, 2019): 878–96. http://dx.doi.org/10.3846/jbem.2019.10452.

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This paper investigates the price and service rate decisions in a customer-intensive service in an M/M/1 queue system under the influence of social interactions, where a higher value of the service is perceived if more customers purchase the service. The customer-intensive nature of the service requires a low service speed to maintain its quality, which may increase the congestion of the system. Two cases where customers are either homogeneous or heterogeneous in terms of the customer intensity are considered. It is found that social interactions can always benefit the service provider as more expected revenue can be achieved, and potential profits would be lost if the influence of social interactions is ignored. For the case with heterogeneous customers, the optimal price and service rate decisions are solved with or without considering social interaction effect. The study finds the proportions of high and low sensitive customers and the social interaction intensity are critical to the operational decisions and the market coverage strategies. These results offer a better understanding on the interplay between the quality-speed conundrum and the influence of social interactions in customers’ purchase behaviour in managing customer-intensive services.
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36

Simpson, James J. "Remote Sensing in Fisheries: A Tool for Better Management in the Utilization of a Renewable Resource." Canadian Journal of Fisheries and Aquatic Sciences 51, no. 3 (March 1, 1994): 743–71. http://dx.doi.org/10.1139/f94-074.

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A framework is developed for the interactions among the diverse groups involved in operational fisheries oceanography: fishing industry, basic and operational researchers, and tactical and strategic stock assessment managers. The basis for these interactions is the need for accurate and timely information, information so complex and diverse that no single sector of the community can efficiently and economically satisfy its own information requirements. Some presently available remotely-sensed data and analysis methods that have potential for providing part of the required information are presented. Projections of future capabilities in this area also are made. The increased use of Geographical Information Systems (GIS) and near-real-time communication networks among the various sectors of the community also is discussed.
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37

Talalu, Taufik R., and Femalia Valentine. "Interaksi Pendengar dan Promosi Program Siaran Radio “Polemik Trijaya” di Twitter." Jurnal Dakwah dan Komunikasi 6, no. 2 (November 30, 2021): 237. http://dx.doi.org/10.29240/jdk.v6i2.3757.

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The radio listener's comments and questions in weekend talk show broadcasting program entitled “Polemik Trijaya” were delivered via Twitter, which is also used to promote the program. This methodological study was determined to describe the broadcasting program's interaction and promotion in Twitter by studying the phenomenon in this research. The data was collected with interview, observation, and documentation techniques to be analyzed and concluded later on. It was found that the interactions used retweet and hashtag features, in which the hashtags used were specifically meant for the program topic which allows the interactions to continue even if the broadcasting program is ended. Twitter itself is an effective media to promote the “Polemik Trijaya” due to the promotional content that can be repackaged to be more interactive, the interactions are included in promotional content that can attract the interest of advertisers as a contributive element to the operational continuity of MNC Trijaya.
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38

Seity, Y., P. Brousseau, S. Malardel, G. Hello, P. Bénard, F. Bouttier, C. Lac, and V. Masson. "The AROME-France Convective-Scale Operational Model." Monthly Weather Review 139, no. 3 (March 1, 2011): 976–91. http://dx.doi.org/10.1175/2010mwr3425.1.

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Abstract After six years of scientific, technical developments and meteorological validation, the Application of Research to Operations at Mesoscale (AROME-France) convective-scale model became operational at Météo-France at the end of 2008. This paper presents the main characteristics of this new numerical weather prediction system: the nonhydrostatic dynamical model core, detailed moist physics, and the associated three-dimensional variational data assimilation (3D-Var) scheme. Dynamics options settings and variables are explained. The physical parameterizations are depicted as well as their mutual interactions. The scale-specific features of the 3D-Var scheme are shown. The performance of the forecast model is evaluated using objective scores and case studies that highlight its benefits and weaknesses.
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39

Lin, Mingwei, Jiuhan Wei, Zeshui Xu, and Riqing Chen. "Multiattribute Group Decision-Making Based on Linguistic Pythagorean Fuzzy Interaction Partitioned Bonferroni Mean Aggregation Operators." Complexity 2018 (November 1, 2018): 1–24. http://dx.doi.org/10.1155/2018/9531064.

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The partitioned Bonferroni mean (PBM) operator can efficiently aggregate inputs, which are divided into parts based on their interrelationships. To date, it has not been used to aggregate linguistic Pythagorean fuzzy numbers (LPFNs). In this paper, we extend the PBM operator and partitioned geometric Bonferroni mean (PGBM) operator to the linguistic Pythagorean fuzzy sets (LPFSs) and use them to develop a novel multiattribute group decision-making model under the linguistic Pythagorean fuzzy environment. We first define some novel operational laws for LPFNs, which take into consideration the interactions between the membership degree (MD) and nonmembership degree (NMD) from two different LPFNs. Based on these novel operational laws, we put forward the interaction PBM (LPFIPBM) operator, the weighted interaction PBM (LPFWIPBM) operator, the interaction PGBM (LPFIPGBM) operator, and the weighted interaction PGBM (LPFWIPGBM) operator. Then, we study some properties of these proposed operators and discuss their special cases. Based on the proposed LPFWIPBM and LPFWIPGBM operators, a novel multiattribute group decision-making model is developed to process the linguistic Pythagorean fuzzy information. Finally, some illustrative examples are introduced to compare our proposed methods with the existing ones.
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40

Malgorzata Ali, Irena. "Doing the Organizational Tango: Symbiotic Relationship between Formal and Informal Organizational Structures for an Agile Organization." Interdisciplinary Journal of Information, Knowledge, and Management 11 (2016): 055–72. http://dx.doi.org/10.28945/3439.

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This paper reports on research with a broad objective to examine the relationship between two organizational entities, the formally structured organization and informal organizational structures, in a changing operational environment, more specifically during military deployments. The paper draws on organizational and complexity paradigms; based on empirical evidence obtained through qualitative techniques, it describes mechanisms that enable a symbiotic relationship between these two organizational structures in a complex operational landscape. Substantive findings provide insights into the dynamics of the interactions between these structures and illuminate the relationship between three enabling factors – accountability, responsible autonomy, and command and control arrangements – that need to be considered to fully exploit the strengths inherent in both formal and informal structures. Based on these findings, a model for enhancement of organizational agility in response to changes in a complex operational environment is described. The model is predicated on feedback and mutual adjustment of the organization, institution and individual through sensemaking; it illustrates the dynamic nature of interactions that are required for such a response.
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41

Korbelak, Kristopher, Jeffrey Dressel, Donald Tweedie, Whitney Wilson, Simone Erchov, and Brian Hilburn. "Teaming with Technology at the TSA: An Examination of Trust in Automation’s Influence on Human Performance in Operational Environments." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 656–60. http://dx.doi.org/10.1177/1541931218621150.

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Automated systems are not only commonplace but a necessity to complete highly specialized tasks in many operational environments. Problems arise, however, when the automation is used injudiciously. Trust is known to influence how workers use and rely on automated systems, especially when the operational environment poses a great amount of complexity for the user. The environment in which most Transportation Security Administration (TSA) workers operate is characterized by complexity that often demands the use of automation to complete required tasks. The TSA aims to better understand the influence of trust in automation on operational performance to better support its mission and workforce. This paper will discuss the methods, findings, and practical implications gleaned from an examination of the role trust plays on human-automation interactions in the operational environment at TSA.
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42

Peters, David A., and Xi Rong. "Optimum Operational Parameters for Yawed Wind Turbines." International Journal of Aerospace Engineering 2011 (2011): 1–16. http://dx.doi.org/10.1155/2011/635750.

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A set of systematical optimum operational parameters for wind turbines under various wind directions is derived by using combined momentum-energy and blade-element-energy concepts. The derivations are solved numerically by fixing some parameters at practical values. Then, the interactions between the produced power and the influential factors of it are generated in the figures. It is shown that the maximum power produced is strongly affected by the wind direction, the tip speed, the pitch angle of the rotor, and the drag coefficient, which are specifically indicated by figures. It also turns out that the maximum power can take place at two different optimum tip speeds in some cases. The equations derived herein can also be used in the modeling of tethered wind turbines which can keep aloft and deliver energy.
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43

Huang, Yanqun, Gaofeng Pan, Xu Li, Zhe Sun, Shinichi Koyama, and Yanqun Yang. "Mining Potential Requirements by Calculation of User Operations." Journal of Organizational and End User Computing 33, no. 6 (November 2021): 1–14. http://dx.doi.org/10.4018/joeuc.293289.

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This study proposes a method for mining potential user requirements from users’ nonverbal behaviors by analyzing their operational problems, since human behaviors reflect emotions and operational bottlenecks in human-machine interactions. Taking a single daily operation task as an example, three key steps were included in the method: first, modeling users’ operation and constructing the operation chain; second, finding emotional or physical problems in the operation chain, where the problems were defined mathematically as an emotional or physical load at each suboperation; and third, defining and obtaining potential user requirements by improving the operational problems when performing a task. Furthermore, a daily operation task was introduced to demonstrate and validate the method of mining user potential requirements. The results indicate that it is effective to discover the potential needs for a specific product and provide satisfactory solutions by calculating and optimizing operational problems.
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44

Liu, Xiaoyue, Bastian J. Schroeder, Timothy Thomson, Yinhai Wang, Nagui M. Rouphail, and Yafeng Yin. "Analysis of Operational Interactions between Freeway Managed Lanes and Parallel, General Purpose Lanes." Transportation Research Record: Journal of the Transportation Research Board 2262, no. 1 (January 2011): 62–73. http://dx.doi.org/10.3141/2262-07.

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45

Sayed, Ahmed R., Cheng Wang, and Tianshu Bi. "Resilient operational strategies for power systems considering the interactions with natural gas systems." Applied Energy 241 (May 2019): 548–66. http://dx.doi.org/10.1016/j.apenergy.2019.03.053.

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46

Perrie, Will, Bechara Toulany, Donald T. Resio, Aron Roland, and Jean-Pierre Auclair. "A two-scale approximation for wave–wave interactions in an operational wave model." Ocean Modelling 70 (October 2013): 38–51. http://dx.doi.org/10.1016/j.ocemod.2013.06.008.

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47

Ranängen, Helena. "Stakeholder management in reality: Moving from conceptual frameworks to operational strategies and interactions." Sustainable Production and Consumption 3 (July 2015): 21–33. http://dx.doi.org/10.1016/j.spc.2015.07.008.

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48

Machado, Rodrigo, Paulo Henrique Ott, Ignacio Benites Moreno, Daniel Danilewicz, Maurício Tavares, Enrique Alberto Crespo, Salvatore Siciliano, and Larissa Rosa De Oliveira. "Operational interactions between South American sea lions and gillnet fishing in southern Brazil." Aquatic Conservation: Marine and Freshwater Ecosystems 26, no. 1 (February 20, 2015): 108–20. http://dx.doi.org/10.1002/aqc.2554.

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49

Ko, Kenton, Susitna Banerjee, Jennette Innes, Darcie Taylor, and Zdenka Ko. "The Tic40 translocon components exhibit preferential interactions with different forms of the Oee1 plastid protein precursor." Functional Plant Biology 31, no. 3 (2004): 285. http://dx.doi.org/10.1071/fp03195.

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The transport of proteins across the plastid envelope involves a host of proteinaceous components that attend to varying structural needs of the process. This study focuses on interactions between two select forms (designated Tic40 and Toc36) of the Tic40-related components and different structural versions of the Oee1 precursor to dissect the components' mode of operation. Interaction profiling revealed several features pertaining to how Tic40-related components might work during the transport process. The main operational features revealed are: (1) Tic40 interacts preferentially with Oee1 precursors containing only the plastid-targeting domain, (2) Toc36 interacts preferentially with Oee1 precursors containing both plastid- and thylakoid lumen-targeting domains, (3)�carboxyl truncations to either the entire Oee1 precursor or Toc36 affect interactions negatively, and (4) the general reduction of Tic40-related protein levels in transgenic plants appears to exert a greater negative impact on endogenous Oee1 levels than the other proteins assessed, a trend that corroborates the findings of the protein interaction experiments.
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50

Gheorghe, Dumitrascu, Feidt Michel, Popescu Aristotel, and Grigorean Stefan. "Endoreversible Trigeneration Cycle Design Based on Finite Physical Dimensions Thermodynamics." Energies 12, no. 16 (August 17, 2019): 3165. http://dx.doi.org/10.3390/en12163165.

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This paper focuses on the finite physical dimensions thermodynamics (FPDT)-based design of combined endoreversible power and refrigeration cycles (CCHP). Four operating schemes were analyzed, one for the summer season and three for the winter season. These basic CCHP cycles should define the reference ones, having the maximum possible energy and exergy efficiencies considering real restrictive conditions. The FPDT design is an entropic approach because it defines and uses the dependences between the reference entropy and the control operational parameters characterizing the external energy interactions of CCHP subsystems. The FPDT introduces a generalization of CCHP systems design, due to the particular influences of entropy variations of the working fluids substituted with influences of four operational finite dimensions control parameters, i.e., two mean log temperature differences between the working fluids and external heat sources and two dimensionless thermal conductance inventories. Two useful energy interactions, power and cooling rate, were used as operational restrictive conditions. It was assumed that there are consumers required for the supplied heating rates depending on the energy operating scheme. The FPDT modeling evaluates main thermodynamic and heat transfer performances. The FPDT model presented in this paper is a general one, applicable to all endoreversible trigeneration cycles.
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