bluuebunny/crossref_metadata_2025_split huggingface dataset:
Capacity constraints as a trigger for high growth
Authors: Coad Alex , Domnick Clemens , Flachenecker Florian , Harasztosi Peter , Janiri Mario Lorenzo , Pal Rozalia , Teruel Mercedes 
Published: November 2021

Abstract
High-growth enterprises (HGEs) have a large economic impact but are notoriously hard to predict. Previous research has linked high-growth episodes to the configuration of lumpy indivisible resources inside firms, such that high capacity utilisation levels might stimulate future growth. We theorize that firms reaching critically high capacity utilisation levels reach a “trigger point” involving either broad-based investment in further growth or shrinking back to previous levels. We analyze EIBIS survey data (matched to ORBIS) which features a question on time-varying capacity utilisation. Overcapacity is a transitory state. Firms enter into overcapacity after a period of the rapid growth of sales and profits, and the years surrounding overcapacity have higher employment growth rates. Firms operating at overcapacity make incremental investments (e.g. capacity expansion, process improvements and modern machinery) rather than investing in R&D and new product development. We find support for the “fork in the road” hypothesis: for some firms, overcapacity is associated with launching into massive investments and subsequent sales growth, while for other firms, overcapacity is negatively related to both investments and sales growth.
Event Distortion-Based Clustering Algorithm for Energy Harvesting Wireless Sensor Networks
Authors: Al-Qamaji Ali , Atakan Baris 
Published: November 2021

AbstractWireless sensor networks (WSNs) consist of compact deployed sensor nodes which collectively report their sensed readings about an event to the Base Station (BS). In WSNs, due to the dense deployment, sensor readings can be spatially correlated and it is nonessential to transmit all their readings to the BS. Therefore, for more energy efficient, it is vital to choose which sensor node should report their sensed readings to the BS. In this paper, the event distortion-based clustering (EDC) algorithm is proposed for the spatially correlated sensor nodes. Here, the sensor nodes are assumed to harvest energy from ambient electromagnetic radiation source. The EDC algorithm allows the energy-harvesting sensor nodes to select and eliminate nonessential nodes while maintain an acceptable level of distortion at the BS. To measure the reliability, a theoretical framework of the distortion function is first derived for both single-hop and two-hop communication scenarios. Then, based on the derived theoretical framework, the EDC algorithm is introduced. Through extensive simulations, the performance of the EDC algorithm is evaluated in terms of achievable distortion level, number of alive nodes and harvested energy levels. As a result, EDC algorithm can successfully exploit both the spatial correlation and energy harvesting to improve the energy efficiency while preserving an acceptable level of distortion. Furthermore, the performance comparisons reveal that the two-hop communication model outperforms the single-hop model in terms of the distortion and energy-efficiency.
Analyzing Consumer Protection for Gamblers Across Different Online Gambling Operators: A Replication Study
Authors: Catania Maris , Griffiths Mark D. 
Published: November 2021

AbstractOnline gambling is a growing business with many stakeholders. Due to the fact that a small proportion of gamblers develop problems, responsible gambling (RG), player protection, and harm minimization have become core areas for gambling regulators. The present study replicated a previous one carried out by Bonello and Griffiths in 2017 to determine whether there had been any significant changes by leading gambling operators due to increased regulatory pressures over the past few years. Fifty leading online gambling operators were audited in relation to their RG practices as well as engaging with their customer services by posing as a problem gambler. Results indicated that overall RG practices appeared to have improved in the past 3 years based on the information in dedicated RG webpages, the increase in RG tool availability, and the communication with customer services. Despite the fact that RG practices appear to have improved, there were still areas for improvement.
Utility of magnetic resonance imaging for differentiating malignant mesenchymal tumors of the uterus from T2-weighted hyperintense leiomyomas
Authors: Matsuura Koichiro , Inoue Kaiji , Hoshino Eri , Yasuda Masanori , Hasegawa Kosei , Okada Yoshitaka , Baba Yasutaka , Kozawa Eito 
Published: November 2021

Abstract
Purpose
To generate a new discrimination method to distinguish between malignant mesenchymal tumors of the uterus and T2-weighted hyperintense leiomyoma based on magnetic resonance imaging findings and clinical features.

Materials and methods
Data from 32 tumors of 32 patients with malignant mesenchymal tumors of the uterus and from 34 tumors of 30 patients with T2-weighted hyperintense leiomyoma were analyzed. Clinical parameters, qualitative magnetic resonance imaging features, including computed diffusion-weighted imaging, and quantitative characteristics of magnetic resonance imaging of these two tumor types were compared. Predictive values for malignant mesenchymal tumors of the uterus were calculated using variant discriminant analysis.

Results
The T1 bright area on qualitative assessment and mean apparent diffusion coefficient value on quantitative assessment yielded the most independent magnetic resonance imaging differentiators of malignant mesenchymal tumors of the uterus and T2-weighted hyperintense leiomyoma. The classification accuracy of the variant discriminant analysis based on three selected findings, i.e., a T1 bright area, computed diffusion-weighted imaging with a b-value of 2000s/mm2 (cDWI2000), and T2-hypointense bands, was 84.8% (56/66), indicating high accuracy.

Conclusions
Variant discriminant analysis using the T1 bright area, cDWI2000, and T2-hypointense bands yielded high accuracy for differentiating between malignant mesenchymal tumors of the uterus and T2-weighted hyperintense leiomyoma.
Der innerpsychische Konflikt Individuation vs. Abhängigkeit im Coaching: Zentrale Ergebnisse einer qualitativen Studie zur Praxis erfahrener Coaches
Authors: Halberstadt Claudia 
Published: November 2021

ZusammenfassungDie unbewusste Dynamik von innerpsychischen Konflikten ist ein wichtiger Inhalt des Erlebens und Verhaltens von Menschen und hat vermutlich einen Einfluss in Coachingprozessen. Diese Studie fokussiert den Grundkonflikt „Individuation vs. Abhängigkeit“ in Einzelcoachings. In einer kleinen qualitativen Feldstudie (n = 13) wurden erfahrene Coaching-Expert/innen zu subjektiven Theorien und präferierten Arbeitskonzepten im Handling dieses Konflikts im Einzelcoaching befragt. Die Inhaltsanalyse zeigt Strategien zum Handling damit auf. Im Artikel geht es primär um die Darstellung, Interpretation und Diskussion eines zentralen Forschungsergebnisses, nämlich der Bedeutung der Coachingbeziehung.
Franchise extension and fiscal structure in the UK 1820–1913: a new test of the Redistribution Hypothesis
Authors: Aidt Toke S. , Winer Stanley L. , Zhang Peng 
Published: November 2021

AbstractThe Redistribution Hypothesis predicts that franchise extension causes an increase in state-sponsored redistribution. We test this hypothesis by considering the relationship between franchise extension and selected aspects of fiscal structure at both central and local government levels in the UK from 1820 to 1913. We do so without imposing a priori restrictions on the direction of causality using a novel method for causal investigation of non-experimental data proposed by Hoover (2001). This method is based on tests for structural breaks in the conditional and marginal distributions of the franchise and fiscal structure time series preceded by a detailed historical narrative analysis. We do not find compelling evidence supporting the Redistribution Hypothesis.
Adaptation and Validation of the Cognitive and Affective Mindfulness Scale-Revised (CAMS-R) in People Living with HIV in Myanmar
Authors: Huang Feifei , Chen Wei-Ti , Shiu Cheng-Shi , Lin Sai Htun , Tun Min San , Nwe Thet Wai , Nu Oo Yin Thet , Oo Htun Nyunt 
Published: November 2021

AbstractObjectivesValid and reliable instruments for the measurement of mindfulness are crucial for people living with HIV. However, there was no Myanmar version of such an instrument.MethodsWe adapted the English version of the 12-item Cognitive and Affective Mindfulness Scale-Revised (CAMS-R) based on standard cross-cultural procedures. By randomly sampling methods, a sample of 248 eligible people living with HIV was contacted from a closed Myanmar Facebook group; 159 PLHIV completed the initial 12-item version of the adapted survey.ResultsThree items were removed due to low item-to-total correlations of the corrected item-total correlation as well as having infit and outfit mean squares outside the range of 0.6 to 1.4. After deleting the 3 items, the three-factor structure was confirmed by confirmatory factor analysis, which indicated good model fit. The resultant 9-item CAMS-R in Myanmar (CAMS-R-M-2) achieved good internal reliability (Cronbach’sαof 0.75 to 0.87, and the corrected item-total correlation ranged from 0.44 to 0.81). Construct validity of the scale was demonstrated by significant association with self-reported HIV stigma and social support levels (r = 0.63, and − 0.53). In Rasch analysis, the infit and outfit mean squares for each item ranged from 0.49 to 1.24, and the person reliability was 2.17 and the separation index was 0.83.ConclusionsThe 9-item CAMS-R-M-2 with a three-factor structure has good reliability and validity. Higher total scores and subscale score reflected greater mindfulness qualities in people living with HIV in Myanmar.
An injection optimization decision-making tool using streamline based fuzzy logic workflow
Authors: BuKhamseen Nader Y. , Al-Najem Abdullah A. , Saffar Ali H. 
Published: November 2021

AbstractThis paper presents an adaptive approach to optimize field injection strategies using streamline-based well allocations coupled with fuzzy logic. The strength of our approach comes from the fact that streamlines are generated by running a full-physics reservoir simulator. Streamlines provide great insights about well pattern connectivity and good allocation factors allowing the injection efficiency (IE) for each pattern to be determined. Fuzzy logic can simulate human thinking and handle different categories of information including linguistic, imprecise, approximate, and overlapping to name a few. This paper presents a genuine approach for field injection optimization using a streamlined-based fuzzy logic system. In this work, we present an adaptive streamline-based fuzzy logic system that uses three input parameters namely injection efficiency (IE), water cut (WC), and injection loss to aquifer to assign an injector ranking index (IRI) according to injector performances. The workflow then smartly redistributes water injection by accounting for operational constraints and number of connected producers in a pattern in addition to the IRI. The workflow examines the low performers (i.e., low and medium IRI categories) and assigns different injection reduction factors for each injector in these categories. Then, the total amount of reduced injection is assigned to high performers (i.e., high IRI) while ensuring no operational constraint is violated, such as bottom-hole pressure (BHP) and capacity of pumps. This approach has been tested on a dual-porosity dual-permeability (DPDP) conceptual simulation model. The area of interest has two rows of injectors: downdip and updip. The updip injectors are the focus of the study. The results of applying this approach show noticeable improvements in injection efficiency for most wells in the area of interest ensuring better sweep, good pressure support, and improving cumulative oil production. We believe combining both technologies, namely streamlines and fuzzy logic, can provide reservoir engineers with a robust decision-making tool to attain a more successful field-wide water injection strategy.
Inequality and psychological well-being in times of COVID-19: evidence from Spain
Authors: Martinez-Bravo Monica , Sanz Carlos 
Published: November 2021

AbstractUsing two novel online surveys collected in May and November 2020, we study the consequences of the COVID-19 pandemic on Spanish households. We document a large and negative effect on household income. By May 2020, the average individual lived in a household that had lost 16% of their pre-pandemic monthly income. Furthermore, this drop was highly unequal: while households in the richest quintile lost 6.8% of their income, those in the poorest quintile lost 27%. We also document that the pandemic deepened the gender-income gap: on average, women experienced a three-percentage point larger income loss than men. While this is consistent with previous findings in the literature, in this paper we document that this effect is driven by women from middle-income households with kids. Finally, we provide evidence that Spanish individuals experienced moderate declines in their levels of psychological well-being. This effect is not different for individuals living in rich or poor households, but the reasons behind well-being losses do differ: richer individuals are more concerned about loss of contact with dear ones, while low-income individuals are more likely to mention loss of income and employment as a key source of emotional distress.
Sherry wine industry by-product as potential biosorbent for the removal of Cr(VI) from aqueous medium
Authors: Sánchez-Ponce L. , Granado-Castro M. D. , Casanueva-Marenco M. J. , Galindo-Riaño M. D. , Díaz-de-Alba M. 
Published: November 2021

AbstractA low-cost biosorbent obtained from the Palomino Fino grape seed, a Sherry wine industry by-product, has been proposed as a way of valorising this material. The biomass was characterised obtaining values of 0.68 ± 0.05 g mL−1 for bulk density, 1.02 ± 0.09 g mL−1 for apparent density and 33.3% for porosity. The pHpzc was 5.2 and the surface negative charge value was 2.4 ± 0.2 mmol g−1. The analysis of surface morphology showed differences due to the sorption. The results showed a promising potential for chromium(VI) removal from aqueous solutions. The studies were carried out in batch scale and a 23 factorial design was applied for the optimisation of the process. A percentage of 91.7 ± 0.6% was achieved for the biosorption of Cr(VI) under optimal conditions using pH 5.5, 15 g/L of biosorbent and 8 h of contact time. The biosorption capacity showed a remarkable linearity from 0 to 2 mmol L−1 Cr(VI) and a precision of 0.64% for the removal of 1 mmol L−1 of metal. Langmuir, Freundlich and Temkin isotherm equations and the parameters of six kinetic models were used in the equilibrium modelling and identifying the mechanism of the biosorption. The combination of physical and chemical sorption mechanisms was proposed for the chromium removal with a high maximum sorption capacity (qmax = 208.3 mg g−1). Thermodynamic parameters indicated the spontaneous and endothermic nature of the chromium removal. The successful biosorption was based on the special grape seed components with a relevant content in antioxidant and lignocellulosic compounds.
From structural ceramics to 2D materials with multi-applications: A review on the development from MAX phases to MXenes
Authors: Zhou Aiguo , Liu Yi , Li Shibo , Wang Xiaohui , Ying Guobing , Xia Qixun , Zhang Peigen 
Published: November 2021

AbstractMAX phases (Ti3SiC2, Ti3AlC2, V2AlC, Ti4AlN3, etc.) are layered ternary carbides/nitrides, which are generally processed and researched as structure ceramics. Selectively removing A layer from MAX phases, MXenes (Ti3C2, V2C, Mo2C, etc.) with two-dimensional (2D) structure can be prepared. The MXenes are electrically conductive and hydrophilic, which are promising as functional materials in many areas. This article reviews the milestones and the latest progress in the research of MAX phases and MXenes, from the perspective of ceramic science. Especially, this article focuses on the conversion from MAX phases to MXenes. First, we summarize the microstructure, preparation, properties, and applications of MAX phases. Among the various properties, the crack healing properties of MAX phase are highlighted. Thereafter, the critical issues on MXene research, including the preparation process, microstructure, MXene composites, and application of MXenes, are reviewed. Among the various applications, this review focuses on two selected applications: energy storage and electromagnetic interference shielding. Moreover, new research directions and future trends on MAX phases and MXenes are also discussed.
A GROUP REGULARISATION APPROACH FOR CONSTRUCTING GENERALISED AGE-PERIOD-COHORT MORTALITY PROJECTION MODELS
Authors: SriDaran Dilan , Sherris Michael , Villegas Andrés M. , Ziveyi Jonathan 
Published: November 2021

AbstractGiven the rapid reductions in human mortality observed over recent decades and the uncertainty associated with their future evolution, there have been a large number of mortality projection models proposed by actuaries and demographers in recent years. Many of these, however, suffer from being overly complex, thereby producing spurious forecasts, particularly over long horizons and for small, noisy data sets. In this paper, we exploit statistical learning tools, namely group regularisation and cross-validation, to provide a robust framework to construct discrete-time mortality models by automatically selecting the most appropriate functions to best describe and forecast particular data sets. Most importantly, this approach produces bespoke models using a trade-off between complexity (to draw as much insight as possible from limited data sets) and parsimony (to prevent over-fitting to noise), with this trade-off designed to have specific regard to the forecasting horizon of interest. This is illustrated using both empirical data from the Human Mortality Database and simulated data, using code that has been made available within a user-friendly open-sourceRpackage StMoMo.
Waiting for IR Godot? In search of transformative encounters between Middle Eastern Studies and International Relations
Authors: Costantini Irene , Hanau Santini Ruth 
Published: November 2021

AbstractWithin the Special Issue ‘Reaching for allies? The dialectics and overlaps between International Relations and Area Studies in the study of politics, security, and conflicts’, this article investigates the post-2011 changing relationship between International Relations (IR) and Middle Eastern Studies (MES). The article departs from the assumption that the reading and writing of security in, on and from the Middle East and North Africa (MENA) region has historically been trapped between the projection of security from abroad and endogenous security narratives. We argue that within the post-Arab uprisings renewed scholarly attention, with studies on security in, on and from the MENA region expressing an all-time methodological pluralism and the increasing and original application of bottom-up and non-military security understandings to regional security, societal and human security are among the most promising notions for transformative dialogue between IR and MES. In broader theoretical terms, we show how the ongoing debate on post-Weberian notions of statehood and post-Westphalian sovereignty point to an already transformative dialogue between IR and MES. The article illustrates this trend with two case studies – on Tunisia and on Iraq – pointing to changing security concepts reflecting changing security practices.
On the role of turbulent large-scale streaks in generating sediment ridges
Authors: Scherer Markus , Uhlmann Markus , Kidanemariam Aman G. , Krayer Michael 
Published: November 2021

The role of turbulent large-scale streaks or large-scale motions in forming subaqueous sediment ridges on an initially flat sediment bed is investigated with the aid of particle resolved direct numerical simulations of open channel flow at bulk Reynolds numbers up to 9500. The regular arrangement of quasi-streamwise ridges and troughs at a characteristic spanwise spacing between 1 and 1.5 times the mean fluid height is found to be a consequence of the spanwise organisation of turbulence in large-scale streamwise velocity streaks. Ridges predominantly appear in regions of weaker erosion below large-scale low-speed streaks and vice versa for troughs. The interaction between the dynamics of the large-scale streaks in the bulk flow and the evolution of sediment ridges on the sediment bed is best described as ‘top-down’ process, as the arrangement of the sediment bedforms is seen to adapt to changes in the outer flow with a time delay of several bulk time units. The observed ‘top-down’ interaction between the outer flow and the bed agrees fairly well with the conceptual model on causality in canonical channel flows proposed by Jiménez (J. Fluid Mech., vol. 842, 2018, P1, § 5.6). Mean secondary currents of Prandtl's second kind of comparable intensity and lateral spacing are found over developed sediment ridges and in single-phase smooth-wall channels alike in averages over

${O}(10)$

bulk time units. This indicates that the secondary flow commonly observed together with sediment ridges is the statistical footprint of the regularly organised large-scale streaks.
Extrapolation to weighted Morrey spaces with variable exponents and applications
Authors: Ho Kwok-Pun 
Published: November 2021

AbstractThis paper establishes the mapping properties of pseudo-differential operators and the Fourier integral operators on the weighted Morrey spaces with variable exponents and the weighted Triebel–Lizorkin–Morrey spaces with variable exponents. We obtain these results by extending the extrapolation theory to the weighted Morrey spaces with variable exponents. This extension also gives the mapping properties of Calderón–Zygmund operators on the weighted Hardy–Morrey spaces with variable exponents and the wavelet characterizations of the weighted Hardy–Morrey spaces with variable exponents.