bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physicochemical properties of Mn1.45Co1.45Cu0.1O4 spinel coating deposited on the Crofer 22 H ferritic steel and exposed to high-temperature oxidation under thermal cycling conditions
Authors: Mazur Łukasz , Molin Sebastian , Dąbek Jarosław , Durczak Karol , Pyzalski Michał , Brylewski Tomasz 
Published: June 2021

AbstractThe Crofer 22 H ferritic steel substrate was coated with an Mn1.45Co1.45Cu0.1O4 spinel by means of electrophoresis. After high-temperature oxidation under thermal cycling conditions, the physicochemical properties of the obtained system were evaluated. During 48-h cycles that involved heating the samples up to temperatures of either 750 or 800 °C, the oxidation kinetics of both coated and unmodified steel approximately obeyed the parabolic rate law. The unmodified steel was oxidized at a higher rate than the system consisting of the substrate and the coating. In its bulk form, the spinel consisted entirely of the cubic phase and it exhibited high electrical conductivity. The Mn1.45Co1.45Cu0.1O4 coating, on the other hand, was compact and consisted of two phases—the cubic and the tetragonal one—and it was characterized by good adhesion to the metallic substrate. After cyclic oxidation studies conducted for the two investigated temperatures (750 or 800 °C), the coating was determined to provide a considerable improvement in the electrical properties of the Crofer 22 H ferritic steel, as demonstrated by the area-specific resistance values measured for the steel/coating system. The evaporation rate of chromium measured for these samples likewise indicates that the coating is capable of acting as an effective barrier against the formation of volatile compounds of chromium. The Mn1.45Co1.45Cu0.1O4 spinel can therefore be considered a suitable material for a coating on the Crofer 22 H ferritic steel, with intermediate-temperature solid oxide electrolyzer cells as the target application.
An integrated framework of coastal flood modelling under the failures of sea dikes: a case study in Shanghai
Authors: Ke Qian , Yin Jiangshan , Bricker Jeremy D. , Savage Nicholas , Buonomo Erasmo , Ye Qinghua , Visser Paul , Dong Guangtao , Wang Shuai , Tian Zhan , Sun Laixiang , Toumi Ralf , Jonkman Sebastiaan N. 
Published: June 2021

AbstractClimate change leads to sea level rise worldwide, as well as increases in the intensity and frequency of tropical cyclones (TCs). Storm surge induced by TC’s, together with spring tides, threatens to cause failure of flood defenses, resulting in massive flooding in low-lying coastal areas. However, limited research has been done on the combined effects of the increasing intensity of TCs and sea level rise on the characteristics of coastal flooding due to the failure of sea dikes. This paper investigates the spatial variation of coastal flooding due to the failure of sea dikes subject to past and future TC climatology and sea level rise, via a case study of a low-lying deltaic city- Shanghai, China. Using a hydrodynamic model and a spectral wave model, storm tide and wave parameters were calculated as input for an empirical model of overtopping discharge rate. The results show that the change of storm climatology together with relative sea level rise (RSLR) largely exacerbates the coastal hazard for Shanghai in the future, in which RSLR is likely to have a larger effect than the TC climatology change on future coastal flooding in Shanghai. In addition, the coastal flood hazard will increase to a large extent in terms of the flood water volume for each corresponding given return period. The approach developed in this paper can also be utilized to investigate future flood risk for other low-lying coastal regions.
On a poset of quantum exact promise problems
Authors: Combarro Elías F. , Vallecorsa Sofia , Meglio Alberto Di , Piñera Alejandro , Rúa Ignacio Fernández 
Published: June 2021

AbstractTwo of the most well-known quantum algorithms, those introduced by Deutsch–Jozsa and Bernstein–Vazirani, can solve promise problems with just one function query, showing an oracular separation with deterministic classical algorithms. In this work, we generalise those methods to study a family of quantum algorithms that can, with just one query, exactly solve promise problems stated over Boolean functions. We also show that these problems can be naturally ordered, inducing a partially ordered set of promise problems. We study the properties of such a poset, showing that the Deutsch–Jozsa and Bernstein–Vazirani problems are, in a certain sense, extremal problems in it, determining some of its automorphisms and proving that it is connected. We also prove that, for the problems in the poset, the corresponding classical query complexities can take any value between 1 and $$2^{n-1}+1$$

2

n
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1

+
1

.
Blood–brain barrier leakage at baseline and cognitive decline in cerebral small vessel disease: a 2-year follow-up study
Authors: Kerkhofs Danielle , Wong Sau May , Zhang Eleana , Uiterwijk Renske , Hoff Erik I. , Jansen Jacobus F. A. , Staals Julie , Backes Walter H. , van Oostenbrugge Robert J. 
Published: June 2021

AbstractBlood–brain barrier (BBB) dysfunction is one of the pathophysiological mechanisms in cerebral small vessel disease (SVD). Previously, it was shown that BBB leakage volume is larger in patients with SVD compared with controls. In this study, we investigated the link between BBB leakage and cognitive decline over 2 years in patients with cSVD. At baseline, 51 patients with clinically overt cSVD (lacunar stroke or mild vascular cognitive impairment) received a dynamic contrast-enhanced MRI scan to quantify BBB permeability in the normal-appearing white matter (NAWM), white matter hyperintensities (WMH), cortical grey matter (CGM), and deep grey matter (DGM). Cognitive function in the domain executive function, information processing speed, and memory was measured in all patients at baseline and after 2 years. The association between baseline BBB leakage and cognitive decline over 2 years was determined with multivariable linear regression analysis, corrected for age, sex, educational level, baseline WMH volume, and baseline brain volume. Regression analyses showed that higher baseline leakage volume and rate in the NAWM and CGM were significantly associated with increased overall cognitive decline. Furthermore, higher baseline leakage volume in the NAWM and CGM, and higher baseline leakage rate in the CGM were significantly associated with increased decline in executive function. This longitudinal study showed that higher BBB leakage at baseline is associated with stronger cognitive decline, specifically in executive function, over 2 years of follow-up in patients with cSVD. These results emphasize the key role of BBB disruption in the pathophysiology and clinical progression of cSVD.
Speed-of-sound imaging using diverging waves
Authors: Rau Richard , Schweizer Dieter , Vishnevskiy Valery , Goksel Orcun 
Published: June 2021

Abstract
Purpose.
Due to its safe, low-cost, portable, and real-time nature, ultrasound is a prominent imaging method in computer-assisted interventions. However, typical B-mode ultrasound images have limited contrast and tissue differentiation capability for several clinical applications.

Methods.
Recent introduction of imaging speed-of-sound (SoS) in soft tissues using conventional ultrasound systems and transducers has great potential in clinical translation providing additional imaging contrast, e.g., in intervention planning, navigation, and guidance applications. However, current pulse-echo SoS imaging methods relying on plane wave (PW) sequences are highly prone to aberration effects, therefore suboptimal in image quality. In this paper we propose using diverging waves (DW) for SoS imaging and study this comparatively to PW.

Results.
We demonstrate wavefront aberration and its effects on the key step of displacement tracking in the SoS reconstruction pipeline, comparatively between PW and DW on a synthetic example. We then present the parameterization sensitivity of both approaches on a set of simulated phantoms. Analyzing SoS imaging performance comparatively indicates that using DW instead of PW, the reconstruction accuracy improves by over 20% in root-mean-square-error (RMSE) and by 42% in contrast-to-noise ratio (CNR). We then demonstrate SoS reconstructions with actual US acquisitions of a breast phantom. With our proposed DW, CNR for a high contrast tumor-representative inclusion is improved by 42%, while for a low contrast cyst-representative inclusion a 2.8-fold improvement is achieved.

Conclusion.
SoS imaging, so far only studied using a plane wave transmission scheme, can be made more reliable and accurate using DW. The high imaging contrast of DW-based SoS imaging will thus facilitate the clinical translation of the method and utilization in computer-assisted interventions such as ultrasound-guided biopsies, where B-Mode contrast is often to low to detect potential lesions.
“Journey into hell […where] migrants froze to death”; a critical stylistic analysis of European newspapers’ first response to the 2019 Essex Lorry deaths
Authors: Gregoriou Christiana , Ras Ilse A. , Muždeka Nina 
Published: June 2021

AbstractIn the early hours of October 23rd, 2019, 39 people were found dead in a refrigerated lorry in Grays, Essex, UK. This case attracted media interest across the world; in the 48-h period after the story broke, reporting on this discovery extended to newspapers not just in the UK, but also across Europe. This study uses elements of Critical Stylistics (Jeffries 2010) to analyse and compare first response articles published by European dailies in relation to the event at Grays, to address the nature of this reporting. We found that linguistic choices tend to dramatise what happened, criminalise victims, and even presume the driver’s innocence, with the international criminal network he is presupposed to be part of remaining only speculated on. Though there are attempts to distribute some accountability to governments and policies, as well as structural systemic factors such as war and poverty, responsibility for these factors tends to be diffused, and hence unallocated, this helping ultimately justify draconic law enforcement and border security policies. By highlighting linguistic trends and underlying ideologies which we in turn question, we address the need to tend to the structural causes of such transnational people movement-related crime (i.e. trafficking and smuggling) and shift accountability to governments.
The Impact of Strategic Core-Component Reuse on Product Life Cycles
Authors: Mihale-Wilson Cristina , Felka Patrick , Hinz Oliver , Spann Martin 
Published: June 2021

AbstractThe mobile games business is an ever-increasing sub-sector of the entertainment industry. Due to its high profitability but also high risk and competitive atmosphere, game publishers need to develop strategies that allow them to release new products at a high rate, but without compromising the already short lifespan of the firms' existing games. Successful game publishers must enlarge their user base by continually releasing new and entertaining games, while simultaneously motivating the current user base of existing games to remain active for more extended periods. Since the core-component reuse strategy has proven successful in other software products, this study investigates the advantages and drawbacks of this strategy in mobile games. Drawing on the widely accepted Product Life Cycle concept, the study investigates whether the introduction of a new mobile game built with core-components of an existing mobile game curtails the incumbent's product life cycle. Based on real and granular data on the gaming activity of a popular mobile game, the authors find that by promoting multi-homing (i.e., by smartly interlinking the incumbent and new product with each other so that users start consuming both games in parallel), the core-component reuse strategy can prolong the lifespan of the incumbent game.
Automated Breast Ultrasound: Technical Aspects, Impact on Breast Screening, and Future Perspectives
Authors: Allajbeu Iris , Hickman Sarah E , Payne Nicholas , Moyle Penelope , Taylor Kathryn , Sharma Nisha , Gilbert Fiona J 
Published: June 2021

Abstract
Purpose of Review
Automated breast ultrasound (ABUS) is a three-dimensional imaging technique, used as a supplemental screening tool in women with dense breasts. This review considers the technical aspects, pitfalls, and the use of ABUS in screening and clinical practice, together with new developments and future perspectives.

Recent Findings
ABUS has been approved in the USA and Europe as a screening tool for asymptomatic women with dense breasts in addition to mammography. Supplemental US screening has high sensitivity for cancer detection, especially early-stage invasive cancers, and reduces the frequency of interval cancers. ABUS has similar diagnostic performance to handheld ultrasound (HHUS) and is designed to overcome the drawbacks of operator dependence and poor reproducibility. Concerns with ABUS, like HHUS, include relatively high recall rates and lengthy reading time when compared to mammography. ABUS is a new technique with unique features; therefore, adequate training is required to improve detection and reduce false positives. Computer-aided detection may reduce reading times and improve cancer detection. Other potential applications of ABUS include local staging, treatment response evaluation, breast density assessment, and integration of radiomics.

Summary
ABUS provides an efficient, reproducible, and comprehensive supplemental imaging technique in breast screening. Developments with computer-aided detection may improve the sensitivity and specificity as well as radiologist confidence and reduce reading times, making this modality acceptable in large volume screening centers.
Routines: towards the Complexity of Organizational Intentionality
Authors: Makowski Piotr Tomasz 
Published: June 2021

AbstractThe paper explores the topic of organizational routines from a philosophical vantage point to see how the philosophy of action may help improve its understanding in organizational research. The main goal is to show the distinctive complexity of the intentional picture of routines. In this respect, the paper clarifies the interrelations between psychological habits and routines and describes similarities and differences between them. It also highlights the special place of mindfulness as a psycho-cognitive mechanism of action meta-control in intentional explanations of routine complexity.
Coupler force reduction method for multiple-unit trains using a new hierarchical control system
Authors: Jackiewicz Jacek 
Published: June 2021

AbstractDuring traction and braking of multiple-unit trains, substantial longitudinal dynamic forces might occur in couplers due to the non-optimal distribution of traction and braking forces generated by self-propelled carriages. These dynamic forces might create shocks affecting the reduction of endurance of the weakest train structural components primarily. Thus, the overall operational safety of the train is also lowered. The purpose of the paper is to develop a new control system to supervise the activities related to the longitudinal dynamics of each train carriage in a multiple-unit train to reduce the longitudinal coupler forces acting during train traction and braking. The hierarchical structure of the control system consists of two levels. The first master level of control works like standard cruise control. However, the reduction of longitudinal coupler forces is achieved by applying a second level of slave control systems with a control configuration of feedback compensation.
Frequently asked questions and answers (if any) in patients with adrenal incidentaloma
Authors: Ceccato F. , Barbot M. , Scaroni C. , Boscaro M. 
Published: June 2021

Abstract
Purpose
Adrenal incidentalomas (AIs) are incidentally discovered adrenal masses, during an imaging study undertaken for other reasons than the suspicion of adrenal disease. Their management is not a minor concern for patients and health-care related costs, since their increasing prevalence in the aging population. The exclusion of malignancy is the first question to attempt, then a careful evaluation of adrenal hormones is suggested. Surgery should be considered in case of overt secretion (primary aldosteronism, adrenal Cushing’s Syndrome or pheochromocytoma), however the management of subclinical secretion is still a matter of debate.

Methods
The aim of the present narrative review is to offer a practical guidance regarding the management of AI, by providing evidence-based answers to frequently asked questions.

Conclusion

The clinical experience is of utmost importance: a personalized diagnostic-therapeutic approach, based upon multidisciplinary discussion, is suggested.
POI recommendation method using LSTM-attention in LBSN considering privacy protection
Authors: Wang Kun , Wang Xiaofeng , Lu Xuan 
Published: June 2021

AbstractAiming at the problems of traditional point of interest (POI), such as sparse data, lack of negative feedback, and dynamic and periodic changes of user preferences, a POI recommendation method using deep learning in location-based social networks (LBSN) considering privacy protection is proposed. First, the idea of Embedding is used to quantify the user information, friend relationship, POI information, and so on, so as to obtain the internal relationship of the location. Then, based on the user's history and current POI check-in sequence set, the long- and short-term attention mechanism (LSA) is constructed, and the quantified information is used as the input of LSA to better capture the user's long-term and short-term preferences. Finally, the social network information and semantic information are fitted in different input layers, and the time and geographical location information of user's historical behavior are used to recommend the next POI for users. Gowalla and Brightkite datasets are used to demonstrate the proposed method. The results show that the performance of the proposed method is better than other comparison methods under different sparsity, location sequence length, and embedding length. When the number of iterations is 500, the recommended method tends to be stable, and the accuracy is 0.27. Moreover, the recommendation time of the proposed method is less than 130 ms, which is better than other comparative deep learning methods.
Robotic embankment
Authors: Jud Dominic , Hurkxkens Ilmar , Girot Christophe , Hutter Marco 
Published: June 2021

AbstractAutomating earth-moving tasks has the potential to resolve labour-shortage, allow for unseen designs and foster sustainability through using on-site materials. In this interdisciplinary project involving robotics and landscape architecture, we combine our previous work on autonomous excavation of free-form shapes, dynamic landscape design and terrain modelling tools into a robotic landscape system. It tightly connects survey, design and fabrication to exchange information in real-time during fabrication. We purposely built a LiDAR survey drone for tight integration. The design environment contains terrain modelling tools to balance cut and fill volumes for material-neutral, on-site construction. Its parametric nature allows it to adapt the geometry to changing site conditions during fabrication. Our autonomous walking excavator is used to create these free-form shapes in natural granular material. We propose an excavation planner for free-form embankments that computes the next excavation location and subsequently the location where the excavated soil should be dumped. This robotic excavation system achieves the world’s first autonomous completion of free-form embankments with high accuracy. A $$20\hbox { m}$$

20

m

long S-shaped and a two-faced embankment with a corner with roughly 0.03–0.05 m average error were created.
Application of improved data-driven diagnostics workflow based on coupled hydro-mechanical model for stimulation candidate selection in a complex carbonate reservoir
Authors: Talebian Seyedeh Hosna , Enayati Najafabadi Mohammad , Fahimifar Ahmad 
Published: June 2021

AbstractThe focus of the present paper is on utilizing a comprehensive diagnostics workflow that combines coupled hydro-mechanical modeling with production data-driven diagnostics for optimization of stimulation candidate selection process. Reservoir fluids production and production-induced depletion affect reservoir mechanical environment due to reduced pore pressure and increased effective stress and the consequent porosity and permeability reduction, depending on rock sensitivity to stress changes. The coupled formation damage index (CFDI) is implemented in the traditional stimulation candidate selection workflow to capture the effect of production-induced stress changes on the near-wellbore permeability over time. The top potential stimulation candidates are recognized based on heterogeneity index, static formation damage index, and the CFDI parameter. CFDI is a dynamic parameter for stimulation candidate selection through estimating time-dependent permeability changes induced by stress state and fluid pressure. Probabilistic type curves and decline curve analysis of candidate wells versus reservoir unit are also applied to complement the stimulation and production enhancement candidate selection.
The Short- and Long-Term Costs of a Severe Drought on Retail Peanut Butter Prices and Consumers
Authors: Dong Xiao , Astill Gregory M. 
Published: June 2021

AbstractThis article investigates the short- and long-term costs of an extreme weather event on retail food prices and consumer expenditures. We utilize the 2011 severe peanut drought as a quasi-natural experiment and find that retail peanut butter prices increased 21.3% as a result of the drought-driven shock in farm peanut production and prices. Moreover, we identify long-term costs due to positive asymmetric price transmission as retail peanut butter prices returned to pre-shock levels much more slowly and remained on average 6.2% higher for 4 years after farm peanut prices returned to pre-shock levels. For consumers, the drought increased peanut butter costs, and the persistence of higher prices in peanut butter led to long-term consumer costs. Peanut butter expenditure on average increased by 4.8% post-shock, with lower-income households increasing expenditures even more. A simple calculation estimates that higher peanut butter prices inflicted a cost of $1.08 billion during the shock, and sticky post-shock peanut butter prices imposed a cost of $628 million to U.S. consumers.