bluuebunny/crossref_metadata_2025_split huggingface dataset:
Generating repairs for inconsistent models
Authors: Marchezan Luciano , Kretschmer Roland , Assunção Wesley K. G. , Reder Alexander , Egyed Alexander 
Published: April 2022

AbstractThere are many repair alternatives for resolving model inconsistencies, each involving one or more model changes. Enumerating them all could overwhelm the developer because the number of possible repairs can grow exponentially. To address this problem, this paper focuses on the immediate cause of an inconsistency. By focusing on the cause, we can generate a repair tree with a subset of repair actions focusing on fixing this cause. This strategy identifies model elements that must be repaired, as opposed to additional model elements that may or may not have to be repaired later. Furthermore, our approach can provide an ownership-based filter for filtering repairs that modify model elements not owned by a developer. This filtering can further reduce the repair possibilities, aiding the developer when choosing repairs to be performed. We evaluated our approach on 24 UML models and four Java systems, using 17 UML consistency rules and 14 Java consistency rules. The evaluation data contained 39,683 inconsistencies, showing our approach’s usability as the repair trees sizes ranged from five to nine on average per model. Also, these repair trees were generated in 0.3 seconds on average, showing our approach’s scalability. Based on the results, we discuss the correctness and minimalism with regard to the cause of the inconsistency. Lastly, we evaluated the filtering mechanism, showing that it is possible to further reduce the number of repairs generated by focusing on ownership.
Trade and welfare effects of a potential free trade agreement between Japan and the United States
Authors: Walter Timo 
Published: April 2022

AbstractThis paper addresses the trade and welfare implications of a bilateral trade agreement between the U.S. and Japan. In 2019, the two countries signed a “stage one” trade agreement, with the U.S.-Japan Trade Agreement (USJTA) and the U.S.-Japan Digital Trade Agreement as two small trade agreements. A comprehensive bilateral free trade agreement (FTA) is currently under discussion between Washington and Tokyo, with the U.S. government alternatively joining the Comprehensive and Progressive Agreement for the Trans-Pacific Partnership (CPTPP). Based on the theoretical model of Caliendo and Parro (Rev Econ Stud, 82(1):1–44, 2015) , I analyze the welfare gains of such a bilateral FTA in the style of Aichele et al. (Where is the value added? China’s WTO entry, trade and value chains, ZBW-Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz, 2014). I simulate trade and welfare impacts for the USJTA and the U.S.-Japan Digital Trade Agreement, as well as for a deep bilateral FTA. In addition, I examine and compare the welfare implications of the established CPTPP with the scenario of the U.S. or China joining CPTPP. My findings show that Japan’s welfare increases by 0.3% and U.S. welfare increases by 0.14% as a result of the FTA. Welfare of both countries would increase if the U.S. entered CPTPP, with Japanese welfare being even higher if China acceded to CPTPP.
Gender-Egalitarian Attitudes and Assortative Mating by Age and Education
Authors: Trimarchi Alessandra 
Published: April 2022

AbstractIn the last decades, conventional patterns of assortative mating have been challenged by changes in the gender-gap in education. In many countries, educationallyhypogamousunions (i.e. the woman is more educated than the man) now outnumberhypergamousunions (i.e. the man is more educated than the woman). The extent to which such structural changes have also been accompanied by gender egalitarian attitudes has not yet been investigated. This paper fills the gap by focusing on both age and educational assortative mating, using data from wave 1 and 2 of the Generations and Gender Surveys for 6 European countries. I investigate the role of gender-role attitudes of single men and women, measured in the first wave, on their age and educational assortative mating outcomes observed in the second wave. To this aim, I applied multinomial logistic regressions, and used as reference outcome categoryremaining singlein the second wave. Compared to non-egalitarian men, I found that men holding gender-egalitarian views are more likely to form hypogamous unions instead of remaining single, in terms of both age and educational assortative mating. Egalitarian women are more likely than non-egalitarian women to form age-hypogamous unions instead of remaining single, but they are less likely to form educationally hypogamous unions. I discuss the implications of these results in relation to the convergence of mating preferences between men and women.
Sudden excitations of harmonic normal modes
Authors: Aldazabal I. , Nagy I. 
Published: April 2022

AbstractThe N-harmonium boson system, i.e., a completely integrable model of N particles where both the external confinement and the two-particle interaction are harmonic, is investigated under the action of sudden time-dependent perturbation. This quench-like external perturbation of confinement has a quadrupolar space-character. The time-independent transition probabilities, which characterize the impact of quench as average occupation numbers, form a complete distribution in the sense of probability theory. The quench-generated energy shift $$\Delta E$$

Δ
E

in the correlated many-body system, and a purity-type Rényi entropy $$S_{\alpha =2}$$

S

α
=
2

are calculated. Challenging reinterpretations of such an energy change in terms of variables of a classical thermodynamical system of $$N(N-1)/2$$

N
(
N
-
1
)
/
2

pairs are given as well. As in the case of the ground-state correlated system, an entropy could characterize a global link to energetically optimized independent-particle models.
Aircraft landing planning under uncertain conditions
Authors: Vié Marie-Sklaerder , Zufferey Nicolas , Leus Roel 
Published: April 2022

AbstractAircraft Landing Planning is challenging because the inherently limited capacity of airport runways causes bottlenecks. This type of planning involves different stakeholders (e.g., airlines, air traffic services providers, airport authorities, and passengers) and faces various uncertainties (e.g., take-off time variability, or wind speeds). This study, conducted in collaboration with the European Organization for the Safety of Air Navigation (EUROCONTROL), proposes a mathematical formulation of the problem and a simulation framework that accounts for uncertainties. We also propose different solution methods: a descent and a tabu search, as well as a mechanism for guiding restarts, to diversify the search process. These methods provide, in our simulated environment, more effective and stable solutions than the popular first-come-first-served practice regarding three objective functions (namely, delay, fuel, and landing sequence stability), which are considered lexicographically. Indeed, the average delays and fuel costs are reduced by 50% and 10%, respectively, at the cost of a small number of landing-sequence modifications, as each flight is repositioned an average of 0.5 times. Moreover, the computations can be performed quickly, which is crucial because re-optimization needs to be done online when flight information is updated.
The catalytic thermo-oxidative decomposition of glimepiride using the isoconversional method
Authors: Riyaz Najamus Sahar , Badran Ismail 
Published: April 2022

AbstractApplying the isoconversional method to data obtained from thermogravimetric analysis (TGA) can provide vital kinetic information. In this work, the thermal decomposition and oxidation of the antidiabetic drug glimepiride is analyzed in the presence of N2and O2. The study was done with and without metal oxide catalysts to explore their potential application in solid wastewater upgrading. The analysis was conducted using thermogravimetric analysis. The isoconversional methods of Kissinger–Akahira–Sunose and Friedman were used to estimate the effective activation energies as a function of the extent of conversion (α). Density functional calculations were used to estimate the bond dissociation energies in glimepiride. TheEavalues obtained from the Friedman method and the DFT calculations indicate an initial S–N bond breaking in glimepiride. The pre-exponential factor (A) and the kinetic triplet (ΔH‡, ΔS‡, and ΔG‡) are also discussed. When glimepiride oxidation was studied in the presence of the metal oxides, the catalyst activity was found to follow the order$${\text{VO}}_{{2}} > {\text{ CuO }} > {\text{ MnO}}_{{2}} > {\text{ Al}}_{{2}} {\text{O}}_{{3}} > {\text{ TiO}}_{{2}}$$VO2>CuO>MnO2>Al2O3>TiO2.
Levels of skills and predictive patterns of reading comprehension in bilingual children with an early age of acquisition
Authors: Gunnerud Hilde Lowell , Foldnes Njål , Melby-Lervåg Monica 
Published: April 2022

AbstractBilingualism appears to be related to poor language and reading comprehension in the instructional language (L2). However, in the long term, an early age of second language acquisition (AoA) may produce higher levels of second language skills than a later onset of L2 exposure. Most studies on school-aged second language learners (L2 learners) include children with 3–7 years of second language (L2) exposure. We compared 91 early bilingual (Norwegian and a variety of different native languages) 5th graders with 196 monolingual peers on a range of linguistic skills and their relationships with reading comprehension. All bilingual learners in the sample had been exposed to the instructional language by at least the age of 2. The results, using structural equation modelling and latent variables, show that early bilingual learners’ vocabulary, listening comprehension, and reading comprehension are significantly lower than those of monolingual learners. Nevertheless, they have similar levels of knowledge of conjunctions and decoding skills and corresponding predictive patterns from linguistic skills to reading comprehension. We discuss the implications of the findings.
Comparing panic alarm systems for high-risk domestic abuse victims: a randomised controlled trial on prevention and criminal justice system outcomes
Authors: Hodgkinson William , Ariel Barak , Harinam Vincent 
Published: April 2022

Abstract
Background
The use of panic alarm systems for victims of domestic abuse is becoming increasingly popular. However, tests of these devices are rare. Consequently, it is presently unknown whether domestic abuse offenders are deterred by warning stickers informing them that a panic alarm system is installed on the premises, or whether alarm systems reduce domestic abuse recidivism. There is also a lack of data regarding whether adding an audio-recording feature to the panic alarm results in more prosecutions of domestic abuse offenders compared to standard panic alarm systems. Measuring the efficacy of warning stickers and audio recordings will enhance understanding of the overall effectiveness of panic alarm systems for domestic abuse.

Methods
This study used a pre-test-post-test, control group design, in which 300 eligible high-risk domestic abuse victims in London, UK, were randomly allocated to either a standard panic alarm system or a panic alarm system with audio-recording capabilities and a red warning sticker on a durable, A6-size sign displayed at eye level at the entrance to the premises. Each sticker was well lit to ensure maximum visibility. The gain scores of multiple measures at 6 months prior and 6 months post-randomisation were used to assess the treatment effects (including the number of calls for service, recorded crimes, and harm score), and a negative binomial generalised linear model was utilised to estimate the likelihood of criminal charges for domestic abuse offenders in the two systems.

Outcomes
Pre-post comparisons of recidivism suggested an overall reduction in both treatment arms, but there were no statistically significant differences between the two types of alarm systems across these crime measures. Nevertheless, the estimation model indicated a significant 57% increase in charges using the audio-recording alarm relative to the standard panic alarm system.

Conclusions
Using deterrent stickers to warn domestic abuse offenders of panic alarm systems does not lead to a reduction in subsequent harm to victims. Compared to ordinary panic alarms for high-risk domestic abuse victims, audio-recording systems provide valuable evidence that increases subsequent charges, and thus, these systems should be explored further.
Authoritarian leadership styles and performance: a systematic literature review and research agenda
Authors: Pizzolitto Elia , Verna Ida , Venditti Michelina 
Published: April 2022

AbstractAlthough authoritarian leadership styles are often associated with negative performance, work climate deterioration, increased power distance, and centralized control, contradictory empirical evidence has emerged in the literature. In this paper, we perform a systematic literature review with three aims: (1) understand the effects of authoritarian leadership styles on performance, (2) study the temporal and geographical evolution of the scientific debate, and (3) establish a research agenda for the future. The results show that in the last two decades, the interest for the field has shifted from Western to Eastern countries. Moreover, many authors encourage leaders to increase or decrease their degree of authoritarian leadership depending on the context to more effectively connect leadership with performance. Therefore, leadership should be studied in light of a more complex approach that considers hybrid leadership styles and their effects on performance. Finally, we discuss our study’s limitations and managerial implications.
Genotype-by-Environment Interaction for Quantitative Trait Loci Affecting Nitrogen Use Efficiency and Associated Traits in Potato
Authors: Getahun Baye Berihun , Tiruneh Mulugeta Atnaf , Aliche Ernest , Malossetti Marcos , Visser Richard GF , van der Linden C Gerard 
Published: April 2022

AbstractDeciphering the genetic basis of complex traits like nitrogen use efficiency (NUE) requires understanding the genotype-by-environment (G × E) interaction and linking physiological functions and agronomic traits to DNA markers. Multi-environment experiments were conducted in different environments representing low and high nitrogen levels combined with rain-fed and irrigation production conditions at three different locations in Ethiopia: Debre-Tabor, Injibara and Koga, in 2013 and 2015. The objectives of the study were to determine the G × E interaction and stability of genotypes for NUE of potato and to identify markers associated with NUE and NUE-related agronomic and physiological traits in potato under these diverse environments. Data were analyzed using GenStat, and genotype plus the genotype and environment (GGE) biplot model; the marker-trait associations were discovered using the R-software package GWASpoly. The analysis of variance that included location and production system had estimates for genotype variance (σ2g) that were low compared with the estimates for environment variance (σ2e) and genotype-by-environment interaction variance (σ2ge) for most measured traits at both N levels. The GGE analysis identified two mega-environments that coincided with the two production systems. The high N level environments both at Debre-Tabor and Injibara, and the low N environment at Koga, respectively, were the most suitable environments for discriminating the potato cultivars and being representative test environments for NUE evaluation in the rain-fed mega-environment and irrigation mega-environment. A total of 77 marker trait associations were identified for NUE and NUE-related agronomic and physiological traits. Multi-trait genomic regions that harbored significant marker-trait associations for NUE and NUE-related traits were found on chromosomes III, V and VI. The effect of production season was greater than the effect of N levels on QTL × environment interaction for most NUE-related traits.
Thermal Spraying of Ultra-High Temperature Ceramics: A Review on Processing Routes and Performance
Authors: Lynam A. , Romero A. Rincon , Xu F. , Wellman R. W. , Hussain T. 
Published: April 2022

AbstractUltra-high temperature ceramics (UHTCs) are materials defined as having melting points over 3000 °C and withstand temperatures beyond 2000 °C without losing functionality. As service environments become even more extreme, such materials will be needed for the next generation of aeronautic vehicles. Whether it is atmospheric re-entry or sustained hypersonic flight, materials with resistance to extreme temperature will be in demand. Due to the size and shape limitations encountered by current processing methods of bulk UHTCs research of UHTC coatings, specifically thermal spray UHTC coatings, is accelerating. This paper first presents a general summary of UHTC properties, followed by a comprehensive summary of the processing routes and microstructures of current UHTC thermal spray coatings. Then, a detailed review of the oxidation and ablation resistance of UHTC thermal spray coatings is outlined. Finally, potential avenues for the development of new UHTC coating compositions are explored.
Epoxy functionalized iron oxide magnetic nanoparticles for catalase enzyme covalent immobilization
Authors: Ali Ali O. , Ali Korany A. , Shahein Yasser E. , Shokeer Abeer , Sharada Hayat M. , Abdalla Mohga S. 
Published: April 2022

AbstractAn aqueous solution of magnetite (Fe3O4) nanoparticles was synthesized using the method of co-precipitation. The nanoparticles were activated with epichlorohydrin for covalently immobilizing the catalase enzyme. The immobilization conditions were optimized as 0.07 mg/ml catalase for 1 h contact time. The properties of free and immobilized catalase were also investigated. The immobilized enzyme showed enhanced activity at alkaline pH and retained about 90% of its relative activity between pH (6–8) and resisted the high temperature and retained 90% of its relative activity at 50 °C. Kinetic parameters of free and immobilized catalase were investigated. While the Vmax value of the immobilized enzyme was reduced 2.4 fold compared to the free enzyme, the KM value of the immobilized catalase was higher by 2.2 fold than the free enzyme. The formulated matrix enhanced the velocity of the immobilized catalase more than the free one and was able to be used for about 18 cycles with retention of 80% of its activity. The immobilized catalase on epoxy functionalized iron oxide nanoparticles is promising as a nano-bio-catalyst carrying out in many industries and different fields.
Hiding Behind Machines: Artificial Agents May Help to Evade Punishment
Authors: Feier Till , Gogoll Jan , Uhl Matthias 
Published: April 2022

AbstractThe transfer of tasks with sometimes far-reaching implications to autonomous systems raises a number of ethical questions. In addition to fundamental questions about the moral agency of these systems, behavioral issues arise. We investigate the empirically accessible question of whether the imposition of harm by an agent is systematically judged differently when the agent is artificial and not human. The results of a laboratory experiment suggest that decision-makers can actually avoid punishment more easily by delegating to machines than by delegating to other people. Our results imply that the availability of artificial agents could provide stronger incentives for decision-makers to delegate sensitive decisions.
By the hand of the smelter: tracing the impact of decision-making in bloomery iron smelting
Authors: Stepanov Ivan S. , Sauder Lee , Keen Jake , Workman Vanessa , Eliyahu-Behar Adi 
Published: April 2022

AbstractSlag analyses from archaeological iron smelting sites are common. Rigorous analyses of iron and slag from successful experimental smelting, however, are still rare. Furthermore, thorough analyses from a series of smelts, and of the slag produced in different phases of the smelt, are exceedingly rare. The present study investigates the effect of an iron smelter’s decision-making and skills on the products of the smelting process: iron and slag. Four smelting experiments were carried out in a shaft furnace with slag tapping using iron ores from the Southern Levant. Using various analytical techniques, including portable X-ray fluorescence, optical and electron microscopy, metallography, and hardness tests enabled us to correlate the properties of the final products with adjustment of various parameters during the smelting process. The latter include airflow and charging rate, temperature, residence time in the reducing zone, ore-charcoal ratio, and control of the slag characteristics. Results obtained allowed us to empirically demonstrate the direct impact of decisions made by the smelter during the complex technological practice of bloomery smelting. Analysis also highlights the benefits of moderately reducing conditions controlled by the smelter to produce good-quality, low-carbon iron, which is particularly relevant within the geological setting of the Southern Levant.
Adams-Bohart, Yoon-Nelson, and Thomas modeling of the fix-bed continuous column adsorption of amoxicillin onto silver nanoparticle-maize leaf composite
Authors: Omitola Odunola B. , Abonyi Matthew N. , Akpomie Kovo G. , Dawodu Folasegun A. 
Published: April 2022

AbstractThis study focused on the use of a fix-bed column in the removal of amoxicillin from an aqueous solution by the application of silver nano-based adsorbents. The silver nanoparticle and nanocomposite were produced by a green synthetic approach. Column adsorption was performed at a flow rate of 5.88 mL/min, bed height of (5.0–7.0 cm), and amoxicillin concentration of 20–40 mg/L. Adsorption data were fitted to Thomas, Adams-Bohart, and Yoon-Nelson models. The color change from light yellow to dark brown showed that silver ions have been reduced to silver atoms. Energy dispersive spectroscopy (EDS) analysis showed the characteristic silver peak of the nano-adsorbents at 3.0 keV containing 57.29% silver in the synthesized silver nanoparticle. Analysis of silver nanoparticles-maize leaf composite revealed its pore distribution to be uneven with an average pore size of 7.44 nm. The data were best fitted to the Thomas model more than Adams-Bohart and Yoon-Nelson’s models. Thomas’s model showed that an increase in concentration and flow rate led to an increase in qo (maximum adsorption capacity) and kTH (Thomas rate constant), However, the increase in bed height led to a decrease in both qo and kTH. The correlation coefficients were in the range 0.6528–0.9797. The results revealed that the silver nanoparticles-maize leaf combo is suitable for the continuous adsorption of amoxicillin in aqueous media with the best performance at a lower concentration, higher bed height, and flow rate.