bluuebunny/crossref_metadata_2025_split huggingface dataset:
Case formulation—A vehicle for change? Exploring the impact of cognitive behavioural therapy formulation in first episode psychosis: A reflexive thematic analysis
Authors: Spencer Helen M. , Dudley Robert , Johnston Lynne , Freeston Mark H. , Turkington Douglas , Tully Sarah 
Published: December 2022

AbstractObjectivesFormulation is considered a fundamental process of cognitive behavioural therapy for psychosis (CBTp). However, an exploration into the personal impact of different levels of case formulation (CF) from a service user (SU) perspective is lacking, particularly for those experiencing a first episode of psychosis.DesignThis Big Q qualitative design used semi‐structured interviews.MethodsReflexive thematic analysis (TA) was used to analyse 10 participant interviews. NVivo 12 computer‐assisted qualitative data analysis software aided data organisation and analysis.ResultsOne overarching theme ‘CF – A vehicle for change?’ was developed as a pattern of shared meaning across the data set. Three main themes related to the overarching theme: (1) Vicious cycles: ‘I never really thought about it being me maintaining the problems’ (including one subtheme – Self‐empowerment: ‘Only you can make the changes for yourself’); (2) Early life experiences: ‘My experiences have shaped the person that I am, therefore, it's not my fault’ (including one subtheme – Disempowerment: ‘[My] core beliefs have been damaged’); and (3) Keep it simple: ‘Don't push it too far over the top in case it becomes like spaghetti’.ConclusionsMaintenance formulations may be experienced as self‐blaming, but also self‐empowering, which may help to facilitate change. Longitudinal formulations may be experienced as non‐blaming, but also disempowering, which may inhibit change. Simple CF diagrams may also facilitate change, whereas overly complex CFs may inhibit change. How CBTp therapists might look to improve the impact of different levels of CF for service users (SUs) in first episode psychosis (FEP) are described.
Designing a centralized distribution system for omni‐channel retailing
Authors: Guo Jia , Keskin Burcu B. 
Published: December 2022

We study the optimal supply chain design for a dual‐channel retailer that operates physical and web‐based stores and has traditionally managed each one separately. With increased pressures from customers and decreased profits due to marked‐down leftover inventories in each channel, the retailer considers integrating the supply chain operations of both channels and using in‐store inventory more effectively across different channels. In contrast to the existing literature, we focus on the firm's choice of the best omni‐channel strategies considering demand segmentation, cost structure, and, more importantly, the inventory rationing ability of the firm. We formulate our problem as a two‐stage stochastic programming model and use first‐order optimality conditions to study the optimal inventory ordering decisions. Based on different omni‐channel strategy decisions, we explore four supply chain design options. We identify the optimal inventory ordering policy under each option and explicitly describe the optimality conditions on cost and demand under perfect and imperfect demand information. When the demand information is imperfect, the demand fulfillment decisions can be characterized as nested protection‐level policies. First, we show that omni‐channel strategies are not necessarily profitable under all settings as dictated by market conditions. Second, we demonstrate that when the company can allocate its inventory perfectly, running omni‐channel strategies may help better serve web‐based customers and in‐store customers. Finally, we show that, in the worst case, the imperfect demand information may result in losing all the claimed inventory integration benefits when running omni‐channel strategies.
How does performance management affect social equity? Evidence from New York City public schools
Authors: Wang Weijie 
Published: December 2022

AbstractAn ongoing tension exists in the relationship between performance regimes and equity. On the one hand, performance regimes could set goals to reduce disparate outcomes. However, performance regimes are associated with strategic behaviors, such as cream skimming, that could worsen outcomes for marginalized groups. This article contributes to this debate by examining the use of growth measures of performance on achievement gaps between advantaged and disadvantaged subgroups of students in New York City public schools. Using a regression discontinuity design, this study credibly identifies the causal effects of performance signals on equity outcomes. Results show weak evidence of negative effects on equity, and the achievement gaps did not increase in most of the cases. The article also discusses how the incentives provided by growth measures can curb strategic behaviors. The findings provide measured optimism that the current generation of performance regimes can be designed to account for issues of equity.
Selection of linear mixed‐effects models for clustered data
Authors: Chang Chih‐Hao , Huang Hsin‐Cheng , Ing Ching‐Kang 
Published: December 2022

AbstractWe consider model selection for linear mixed‐effects models with clustered structure, where conditional Kullback–Leibler (CKL) loss is applied to measure the efficiency of the selection. We estimate the CKL loss by substituting the empirical best linear unbiased predictors (EBLUPs) into random effects with model parameters estimated by maximum likelihood. Although the BLUP approach is commonly used in predicting random effects and future observations, selecting random effects to achieve asymptotic loss efficiency concerning CKL loss is challenging and has not been well studied. In this paper, we propose addressing this difficulty using a conditional generalized information criterion (CGIC) with two tuning parameters. We further consider a challenging but practically relevant situation where the number, , of clusters does not go to infinity with the sample size. Hence the random‐effects variances are not consistently estimable. We show that via a novel decomposition of the CKL risk, the CGIC achieves consistency and asymptotic loss efficiency, whether is fixed or increases to infinity with the sample size. We also conduct numerical experiments to illustrate the theoretical findings.
Integration of mitogenomic and morphological data disentangles the systematics of Pollenia and establishes a revised phylogenetic hypothesis for the Polleniidae
Authors: Johnston Nikolas P. , Piwczyński Marcin , Trzeciak Paulina , Walczak Kinga , Szpila Krzysztof 
Published: December 2022

AbstractThe Polleniidae (Diptera) are a family of flies best known for species of the genus Pollenia, which overwinter inside human dwellings. Previously divided across the Calliphoridae, Tachinidae and Rhinophoridae, the polleniid genera have only recently been united. Several studies have utilized molecular data to analyse polleniid phylogenetic relationships, although all have suffered from low taxon sampling or insufficient phylogenetic signal in molecular markers. To alleviate these problems, we utilized two automated organellar genome extraction software, GetOrganelle and MitoFinder, to assemble mitogenomes from genome skimming data from 22 representatives of the polleniid genera: Dexopollenia, Melanodexia, Morinia, Pollenia and Xanthotryxus. From these analyses, we provide 14 new mitogenomes for the Polleniidae and perform phylogenetic analyses of 13 protein‐coding mitochondrial genes using both maximum likelihood and Bayesian inference. Subfamilial phylogenetic relationships within the Polleniidae are interrogated and Pollenia is found to form a monophyletic clade sister to Melanodexia, Morinia and Dexopollenia, providing no evidence for the synonymisation of any of these genera. Our topology conflicts with previous morphology‐based cladistic interpretations, with the amentaria, griseotomentosa, semicinerea and viatica species‐groups resolving as non‐monophyletic. We provide support for our topology through analysis of adult morphology and male and female terminalia, while identifying new diagnostic characters for some of the clades of the Pollenia. To test the validity of the current diagnostic morphology in the Polleniidae, newly assembled cytochrome C oxidase subunit 1 (COI) data are combined with a polleniid COI barcode reference library and analysed using the species delimitation software ASAP. COI barcodes support the current morphologically defined species within the Pollenia.
More‐than‐care: People with intellectual disability and emerging vulnerability during pandemic lockdown
Authors: van Holstein Ellen , Wiesel Ilan , Bigby Christine , Gleeson Brendan 
Published: December 2022

AbstractThis paper offers more‐than‐care as a framework for analysing how vulnerability emerges in the lives of people with intellectual disability beyond relations of care. More‐than‐care detaches vulnerability from the identity category of disability. It provides a framework for conceptualising vulnerability in an unequal, neoliberalising, and ableist world and sheds new light on the ever‐evolving constitution of vulnerability and disability. This intervention breaks with conceptions of vulnerability centred on care needs that leave other circumstances that inform vulnerabilities unexamined. Importantly, the framework shifts responsibility for managing vulnerabilities away from carers alone. The more‐than‐care framework is grounded in socio‐material conceptualisations of disability and advances a tripartite framing of vulnerability. First, it grounds studies of vulnerability in histories of spatially uneven investment in infrastructure and resources that shape how care and other practices can assemble to produce, challenge, and manage vulnerability. Second, it recalibrates dominant conceptions of the temporality of vulnerability to ensure sensitivity to the unpredictability of emergent vulnerabilities. Third, in following a socio‐material conceptualisation of intellectual disability, more‐than‐care expands discussions about agency in the context of vulnerability. These concepts are empirically examined through an analysis of how vulnerability emerges in the lives of four self‐advocates with intellectual disability during Melbourne's first and second COVID‐19 lockdowns. The analysis shows that vulnerability was highly dynamic and unpredictable as it emerged in complex socio‐material assemblages that included care arrangements, embodied experiences and agencies, and past instances of neglect and exploitation.
An investigation into the development of qualitative tear film disorders in dogs following cryoepilation for distichiasis
Authors: Reynolds Benjamin D. , Whittaker Cameron , Caruso Kelly , Annear Matthew J. , Hamzianpour Negar , Irving William , McCarthy Paul M. G. , Smith Jeffrey S. 
Published: December 2022

AbstractObjectiveThe aim of this prospective study was to compare tear film quality between dogs who have previously undergone cryoepilation for distichiasis to a reference population.Animals StudiedNine dogs (17 eyes) were recruited after surgery and were compared to a reference population of 21 dogs (42 eyes).ProceduresCanine patients who had previously undergone cryoepilation for distichiasis for a minimum of 1 month prior to examination were recruited. A complete ophthalmic examination was performed by an ABVO resident (BDR), with additional tear tests, including tear film interferometry, infra‐red meibography, and a tear film break‐up time (TFBUT) performed. The tear test results were compared to a reference population obtained from client‐owned dogs with no history of ophthalmic complaints, a normal ophthalmic examination performed by an ABVO resident (BDR) and a Schirmer Tear Test‐1 > 15 mm/min. Statistical analysis was performed of the results obtained.ResultsThe treated group was significantly more affected with meibomian gland dropout (MG‐dropout) in 11/17 (64.7%) cases, compared to the reference population of 2/21 (9.5%) (p < .01). The treated group had an odds ratio of 23.8 to develop MG‐dropout compared to the reference population (p < .01). Tear film breakup time (TFBUT) was significantly shorter in the treatment group (5.8 ± 2.6 s) compared to the reference population (10.1 ± 1.1 s) (p < .001). In the treatment group, 12/17 (70.5%) of treated eyes had a TFBUT < 5 s compared to 2/21 (9.5%) of the reference population.ConclusionCryoepilation for distichaiasis appears to be a risk factor for developing MG‐dropout and qualitative tear film disorders post‐operatively in canines.
The heart to single vertebra ratio: A new objective method for radiographic assessment of cardiac silhouette size in dogs
Authors: Costanza Dario , Greco Adelaide , Piantedosi Diego , Bruzzese Dario , Pasolini Maria Pia , Coluccia Pierpaolo , Castiello Erica , Baptista Cláudia Sofia , Meomartino Leonardo 
Published: December 2022

AbstractVertebral heart size (VHS) is widely determined in clinical practice as an objective method to assess the cardiac silhouette dimensions. However, a key limitation is that it is difficult to determine VHS in dogs with vertebral alterations. This retrospective, method comparison, observer agreement study sought to overcome this limitation by using the heart‐to‐single vertebra ratio (HSVR), by evaluating the level of agreement between VHS and HSVR, as well as the intra‐ and inter‐observer agreement for HSVR. Three independent observers retrospectively evaluated thoracic radiographs obtained over a set time period. Exclusion criteria were the presence of alterations of the thoracic spine and the inability to clearly outline the cardiac silhouette. The lengths of the vertebral bodies, from the fourth to eighth thoracic vertebra, and VHS were measured on each radiograph. The HSVR was calculated by dividing the sum of the cardiac long and short axes by the length of each vertebral body. Eighty dogs of different breeds were included in the final analysis. Lin's concordance correlation coefficients revealed strong correlations between VHS and HSVR (0.91–0.96), and the Bland–Altman plots showed low bias (0.01–0.2) between the methods. The mean absolute errors indicated low average magnitudes of error (0.11–0.28). The intraclass correlation coefficients showed good to excellent inter‐observer (0.87–0.92;P = 0.000) and intra‐observer (0.87–0.99;P < .001) agreement. In the authors’ opinion, this new method, which is less time consuming and more objective, could offer a valuable alternative to VHS.
Influence of Local Microstructural Variations on the Bendability of Aluminum Extrusions: Experiments and Crystal Plasticity Analyses
Authors: Håkon Frodal Bjørn , Lodgaard Lars , Langsrud Yngve , Børvik Tore , Sture Hopperstad Odd 
Published: December 2022

Abstract
The bendability of extruded profiles of an age hardenable aluminum alloy is investigated using mechanical tests on flat tensile specimens and bending specimens. Two profile geometries are considered, where the profiles exhibit different grain structures. The microstructure of the profiles in terms of the crystallographic texture and constituent particles is otherwise comparable. While the tensile properties are not that different for the two profiles, their bendability is strongly dependent on the grain structure and is about twice as high for one profile than for the other. A newly proposed coupled damage and single crystal plasticity model is used in finite element analyses of the mechanical tests to investigate the influence of the grain structure on the bending behavior, and the numerical results are compared to the experimental tests. The crystallographic texture and the grain morphology of the profiles, found by the electron back-scatter diffraction technique, are explicitly represented in the finite element models. The crystal plasticity simulations capture the difference in the bendability of the two profiles, and in agreement with the experiments predict a considerably higher bendability for one of the profiles. It is found that the grain structure affects the shear band formation in these profiles, but also the local texture where the shear bands are located is important for crack initiation and propagation as grains with certain crystallographic orientations may have a higher fracture resistance.
Static Response of Circular Cavities With a Non-Radial Crack Subject to Antiplane Stress
Authors: Lin Chi-Pu , Wiebe Richard , Chang Kao-Hao 
Published: December 2022

Abstract
Tunnels, pipelines, and other subterranean circular cavities are common components of modern infrastructure. In addition, seismic activities are common in many areas with pipelines, which may put these structures under unknown risk of fracture. A particular risk case of interest can be characterized as a plane strain problem with a circular cavity and crack in an infinite plane under antiplane stress. Antiplane, i.e., mode III, loading has seen less study relative to modes I and II due to the lower risk factor in structures that are especially vulnerable to fracture (e.g., in the automotive and aerospace industries), and the increase in complexity compared to modes I and II. The work here further explores this phenomenon on circular cavities, and particularly, the effect of non-radial cracks on the stress intensity factor via a parametric study. The study introduces a semi-analytical method and also uses commercial finite element software to further expand on the investigation.
Hybrid Multi-Scale Convolutional Long Short-Term Memory Network for Remaining Useful Life Prediction and Offset Analysis
Authors: Sharma Vedant , Sharma Deepak , Anand Ashish 
Published: December 2022

Abstract
Prognostic and health management (PHM) has become increasingly popular due to the requirement of improved maintenance techniques in the industry. Remaining useful life (RUL) estimation is an important parameter through which PHM can be utilized to implement timely and cost-effective maintenance. Due to recent advancements in sensor-based and other Industry 4.0 related technologies, data-driven methods for RUL estimation have become more prevalent and effective. In this paper, a novel data-driven method for sensor-based RUL estimation using a combination of multi-scale convolutional neural network (MS-CNN) and long short-term memory (LSTM) is proposed. The proposed hybrid multi-scale convolutional LSTM (HMCL) model is capable of extracting both spatial features of various scales and temporal features from the input data to provide accurate RUL predictions. L2 regularization and dropout techniques are used to reduce overfitting. The performance of the proposed model is evaluated using the C-MAPSS dataset. It achieves excellent performance as compared to other state-of-the-art methods making it a promising approach for sensor-based RUL prediction. Additionally, to discern the cause for occurrence of offsets, i.e., deviations in the model’s predictions with the true RUL value, an offset analysis is carried out. Through the analysis, an estimate on the location and cause of offsets is established and based on the sensory input data, offsets are identified using an SVM classification model. Despite being a simple classification model, it is able to achieve a decent performance in classifying the offsets.
Deep Learning Methods of Cross-Modal Tasks for Conceptual Design of Product Shapes: A Review
Authors: Li Xingang , Wang Ye , Sha Zhenghui 
Published: December 2022

Abstract
Conceptual design is the foundational stage of a design process that translates ill-defined design problems into low-fidelity design concepts and prototypes through design search, creation, and integration. In this stage, product shape design is one of the most paramount aspects. When applying deep learning-based methods to product shape design, two major challenges exist: (1) design data exhibit in multiple modalities and (2) an increasing demand for creativity. With recent advances in deep learning of cross-modal tasks (DLCMTs), which can transfer one design modality to another, we see opportunities to develop artificial intelligence (AI) to assist the design of product shapes in a new paradigm. In this paper, we conduct a systematic review of the retrieval, generation, and manipulation methods for DLCMT that involve three cross-modal types: text-to-3D shape, text-to-sketch, and sketch-to-3D shape. The review identifies 50 articles from a pool of 1341 papers in the fields of computer graphics, computer vision, and engineering design. We review (1) state-of-the-art DLCMT methods that can be applied to product shape design and (2) identify the key challenges, such as lack of consideration of engineering performance in the early design phase that need to be addressed when applying DLCMT methods. In the end, we discuss the potential solutions to these challenges and propose a list of research questions that point to future directions of data-driven conceptual design.
Dynamic Cavitation Inception by Wave Propagation Across Solid–Fluid Interface With Varying Solid Surface Wettability
Authors: Kojima Tomohisa , Inaba Kazuaki 
Published: December 2022

Abstract
Fluid–structure interaction (FSI) problems are important because they may induce serious damage to structures. In some FSI problems, the interaction mechanism is strongly dependent on the wave propagation across the solid–fluid interface. In this study, we attempted a quantitative evaluation of the effect of the solid surface wettability on the wave propagation across the solid–fluid interface with FSI in the case of longitudinal wave propagation vertically toward the interface. During the experiments, while the water was continuously compressed by the solid buffer motion, cavitation bubbles appeared being originated from the buffer–water interface as a result of the transmitted tensile wave propagating across the interface in a cycle. It was confirmed that interfacial boundary condition as wettability could change the wave transmission behavior owing to changes in the cavitation occurrence. It was also confirmed that the worse the wettability, the more severe the cavitation intensity, and the greater the difference between the energy lost by the buffer and the energy stored in the water. Consequently, the effect of the cavitation inception on the wave propagation at the solid–fluid interface with FSI could be quantitatively evaluated by considering the energy transferred from the solid to the water.
Turbine Vane Passage Cooling Experiments With a Close-Coupled Combustor-Turbine Interface Geometry—Part I: Describing the Flow
Authors: Nawathe Kedar P. , Nath Aaditya R. , Kim Yong W. , Simon Terrence W. 
Published: December 2022

Abstract
Due to the proximity of the first-stage gas turbine vanes to the combustor, coolant introduced to the combustor walls interacts with the endwall film coolant and changes the vane passage flow physics. Recent results show that combustor coolant contributes significantly to cooling the endwall and vane surfaces. In this paper, the traditional combustor-turbine interface was modified to improve overall cooling performance. The performance of this new injection cooling scheme on passage fluid dynamics and surface cooling is assessed. The first of this two-part paper reports detailed experimental tests that document secondary flows and coolant transport throughout the vane passage for four combustor coolant flowrates. The experimental facility imitates combustor coolant injection and engine-level turbulence and has a modified transition duct design, called the “close-coupled combustor-turbine interface.” The “impingement vortex” seen in previous studies with combustor cooling appears as the dominant secondary flow. It is observed in the present study over a wide range of flowrates, confirming its tie to the combustor coolant flowrate and not the combustor-turbine interface geometry. It was found, however, that the location and size of the impingement vortex are affected by coolant flowrate. Part II of this paper discusses the impact of the observed secondary flows on cooling vane passage surfaces.