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In this study, measurements and numerical analyses of the temperature distribution of exhaust gas passing through two types of mixers using a micro turbojet engine were performed to investigate the flow mixing performance based on the shape of the mixer, which mixes the bypass air and core air in a gas turbine turbofan engine. To study the mixing characteristics of the mixer, compressed air was supplied through an external duct mounted on a micro turbojet engine to simulate bypass flow, and a system in which hot gas and compressed air were mixed and ejected into the atmosphere was fabricated. A confluent-type mixer and a mixer with 8-lobed mixer channels in the form of a sine wave were used for the experiment. The exhaust gas temperature was measured based on the distance from the nozzle outlet at bypass ratios of 0.5, 1.0 and 1.4. The results showed that the lobed mixer is more effective than the confluent mixer in lowering the exhaust gas temperature as the bypass ratio increased. Numerical analysis results indicated that, in the case of the confluent mixer, flow mixing is primarily performed by shear flow owing to the velocity difference between the core gas and the bypass air. In contrast, in the case of a lobed mixer, flow mixing is achieved through rotational motion and transverse flow. In addition, when the number of lobe channels increased from 8 to 12, the rotational motion increased and the mixing performance improved. Furthermore, infrared signal calculation results confirmed that, as the number of lobe channels increased, improved flow mixing effectively reduced the infrared signal. We conclude that this study helps understand the mixing characteristics of the flow according to the shape of the mixer at various bypass ratios and determine their effect on the characteristics of the infrared signal.
Cultural confidence, moral superiority, and metropolitan elitism: these characteristics of the 1870s are exemplified by Harley Granville-Barker’s edited collection of essays, The Eighteen-Seventies (1929), which offers a nostalgic, aristocratic, Oxbridge, and high-culture account of this decade. But this present collection, in the spirit of the series to which it belongs, frames the 1870s as a decade in transition, and seeks to unsettle its conventional associations while acknowledging their force and legacy. Indeed, writers of the 1870s were especially adept at questioning their current temporal moment, often betraying an overdetermined sense of their place in time, and even of temporality itself.
Public spaces, as places of consumption, are windows onto unequal economic structures. In this chapter, I discuss different aspects of real and perceived inequalities in Tehran. I demonstrate that massive structural changes, such as the expansion of infrastructure and public transportation, have facilitated access to different parts of Tehran and a more equal experience of the city, yet different forms of inequality persist and are reproduced. Many public spaces offer a variety of opportunities for using space, ranging from walking in a public park to eating in high-end restaurants, all in very close proximity. Depending on what can be consumed and where it happens, public spaces bring inequalities to the fore as different groups often segregate within the same public space, following patterns that usually correlate with their ability to pay for products and services. Thus, in Tehran, as much as urban development may appear to work as an equalizer – bringing different socioeconomic groups together in newly shared public spaces – it highlights economic and social inequalities and makes disparities even more visible.
The European financial markets have been placed on the path to a sustainable and green transition. The European Commission embraced with the EU Green Deal a new growth strategy built on a sustainable economic model that aims at making the EU the first carbon neutral continent by 2050. This generational economic and industrial transition set by the EU Green Deal will require at least 1 trillion euro in public and private sustainable investments. This chapter analyzes how derivatives markets can contribute to support the green transition, enable private markets to raise capital towards sustainable goals, and help market participants to manage the market and transition risk to a sustainable economy. “Green derivatives” like ESG- linked swaps, emission allowance futures, extreme weather events derivatives, are examples of financial innovation is dealing with climate-related risk. This chapter focuses on the EU Strategy for Financing the Transition to a Sustainable Economy in the EU and offers a looks at what the Commodities Futures Trading Commission is doing in the US on climate-related risk and derivatives markets. The chapter offers some early critical considerations on the private-public synergies and opportunities that might result from the growth and expansion of sustainable derivatives markets and the possible risks that policymakers should consider in the evolution process of such markets.
Healthcare provider self-disclosures are common although sometimes controversial. Providers have unique opportunities to self-disclose for the purpose of conveying empathic concern during Dignity Therapy sessions. We examine the topics of empathic self-disclosures (ESDs) during Dignity Therapy sessions.
Methods
We analyzed 203 audio-recorded, transcribed Dignity Therapy sessions from a stepped-wedge, randomized trial of Dignity Therapy led by 14 nurses and chaplains in outpatient palliative care. We extracted 117 ESDs across sessions and applied thematic analysis guided by the constant comparative method to generate ESD topic themes and properties.
Results
Providers disclosed ESDs referring to topics of Relationships and Family, Personal Experiences and Characteristics, Cohort Communalities, Location and Geography, and Values. Though each provider led multiple Dignity Therapy sessions in this dataset, providers rarely disclosed the same information to more than one patient. Some disclosures subtly shifted the patient’s life review. Providers often acknowledged patients that their self-disclosures were not prescribed elements of Dignity Therapy sessions.
Significance of results
Providers engage in ESD across a range of personal topics in a Dignity Therapy context. Some ESD topics overlapped with those considered appropriate in existing health communication literature. Other topics involved complex or underexamined types of disclosures. While self-disclosures appear to be made with empathic intent, providers undermined the impact of some ESDs by portraying them as unprescribed components of the conversation. More research is needed to assess the positive and negative impacts of ESDs during Dignity Therapy and to support augmentation of Dignity Therapy training protocols to account for providers’ ESDs.
Behavior is considered the response to internal and external stimuli. Both the basal ganglia as well as the cerebellum process internal (homeostatic) and external (environmental) cortical information in order to orchestrate adequately adapted behavior and send this processed information via the thalamus back to the cortex for final execution through motor neurons and neuromuscular structures. The basal ganglia arrange for the appropriate selection of behavioral fragments (response selection) out of the available pool of learned standard behaviors, and define their magnitude, while the cerebellum together with the sensory, visual, and vestibular organs deal with their coordination, that is, the exact timing of muscle actions so that the body can move smoothly. The final execution of these movements is enabled by upper/lower motor neurons and neuromuscular structures.
Technology (especially the high energy-consuming blockchain) is not often associated with environmental goals but the elements of peer-to-peer networks, sharing economy and ‘direct’ finance in the Fintech world present coherence and continuity with the ESG world. Furthermore, the potential of Fintech in reducing costs, connecting people on a global scale, improving financial inclusion, diversification and resilience offer great opportunities also in the area of sustainable finance, advancing societal factors. Nonetheless, relevant risks and limitations must be considered, too. This chapter will first introduce the emerging area of sustainable digital finance, with particular regard to environmental objectives. Second, it will focus on ‘green Fintech’ facilitating capital raising. In particular, the chapter will analyse the main legal and technical challenges related to green financing, with special regard to green crowdfunding, green tokens offerings and other Distributed Ledger Technology (DLT)-based opportunities, also considering recent EU regulatory initiatives, also advancing some policy proposals.
Corticobasal degeneration (CBD) is a neurodegenerative disease characterized by abnormal aggregation of hyperphosphorylated 4R-tau in cortical and subcortical areas of the brain. It is associated with various clinical phenotypes, such as the characteristic clinical phenotype corticobasal syndrome (CBS), which manifests with asymmetric akinetic–rigid, poorly levodopa-responsive parkinsonism, and cerebral cortical dysfunction. Other associated phenotypes are progressive supranuclear palsy (PSP) syndrome, frontotemporal dementia, Alzheimer’s disease (AD)-like dementia, and non-fluent/agrammatic variant of primary progressive aphasia. Precise use of terminology is critical for a common understanding in discussions of clinical phenotype, attempted clinical diagnosis of CBD with its many presenting phenotypes, and accurate pathologic diagnosis (which can only be made neuropathologically). Diagnosis of probable or possible CBS and the other CBD-associated syndromes is based on the presence of certain clinical features. Pathologic and neuroimaging findings and currently available biological markers are discussed. Treatment for CBD and CBS is symptomatic and supportive at present.
This introduction serves as a preface to the volume and provides an overview of the purpose of this Companion, and a paragraph about each essay in the collection.
This study tests whether prediction error underlies structural priming in a later-learnt L2 across two visual world eye-tracking priming experiments. Experiment 1 investigates priming when learners encounter verbs biased to double-object-datives (DO, “pay”) or prepositional-object-datives (PO, “send”) in the other structure in prime sentences. L1-German–L2-English learners read prime sentences crossing verb bias and structure (DO/PO). Subsequently, they heard target sentences – with unbiased verbs (“show”) – while viewing visual scenes. In line with implicit learning models, gaze data revealed priming and prediction-error effects, namely, more predictive looks consistent with PO following PO primes with DO-bias verbs. Priming in comprehension persisted into (unprimed) production, indicating that priming by prediction error leads to longer-term learning. Experiment 2 investigates the effects of target verb bias on error-based priming. Priming and prediction-error effects were reduced for targets with non-alternating verbs (“donate”) that only allow PO structures, suggesting learners’ knowledge of the L2 grammar modulates prediction-error-based priming.
Using high-order simulations, we have shed light on complex chemically reacting flow processes and identified new mechanisms of the supersonic combustion process. We have employed 11th-order accurate implicit large eddy simulation (ILES) in conjunction with a finite-rate (Arrhenius) thermochemistry model using a reduced reaction mechanism for the combustion of hydrogen and air. We compare the coarse-grained computations with available experiments from the German Aerospace Centre (DLR) and discuss the accuracy and uncertainties. A supersonic combustion chamber can be accurately modelled using high-order ILES without a specific turbulence-chemistry model. The simulations reveal that the flame intermittently propagates upstream behind the wedge-shaped flame holder, alternating between the upper and lower turbulent free shear layers at a frequency of ≃ 7,990 Hz. This can be a leading cause of unsteady pressure loadings on the interior surfaces downstream of the combustion chamber and is a crucial structural design parameter. Furthermore, the simulations reveal that high temperatures are sustained long distances downstream of the combustion onset. A barycentric map for the Reynolds stresses is employed to analyze the turbulent anisotropy. The results correlate the axisymmetric contraction and expansion of turbulence with the interaction of the reflected shock waves and the supersonic combustion hydroxyl production regions. The physics insights presented in this study could potentially lead to more efficient supersonic combustion and engineering designs.