bluuebunny/crossref_metadata_2025_split huggingface dataset:
Discovery of an isoflavone oxidative catabolic pathway in legume root microbiota
Authors: Aoki Noritaka , Shimasaki Tomohisa , Yazaki Wataru , Sato Tomoaki , Nakayasu Masaru , Ando Akinori , Kishino Shigenobu , Ogawa Jun , Masuda Sachiko , Shibata Arisa , Shirasu Ken , Yazaki Kazufumi , Sugiyama Akifumi 
Published: August 2023

AbstractIsoflavones are major specialized metabolites found in legume plants, where they contribute to environmental adaptation. Isoflavones also play a role human health as promising therapeutic agents. This metabolite group is involved in interactions with soil microorganisms as initiation signals in rhizobial symbiosis and as modulators of the legume root microbiota. We previously reported that isoflavones enrich the Comamonadaceae, a predominant bacterial family in soybean roots, and that microorganisms in legume rhizosphere soil degrade isoflavones. However, the isoflavone catabolism pathway that underly the isoflavone-mediated legume–microbiota interactions have not yet been clarified. Here, we isolatedVariovoraxsp. strain V35, member of the Comamonadaceae that harbors isoflavone-degrading activity, from soybean roots and discovered a gene cluster responsible for isoflavone degradation namedifc. Strain V35 metabolizes isoflavones in a completely distinct oxidative manner from the reductive isoflavone metabolism pathway elucidated in the gut microbiota, in which resulting products enter the tricarboxylic acid cycle. The characterization ofifcmutants and heterologously expressed IFC enzymes revealed that isoflavones are catabolized via A-ring cleaving fission, which starts with hydroxylation at the 8-position of the A-ring. We further demonstrated thatifcgenes are frequently found in bacterial strains isolated from legume plants, including mutualistic rhizobia, and contribute to detoxification of the antibacterial activity of isoflavones. Taken together, our findings reveal an oxidative catabolism pathway of isoflavone in the soybean root microbiota, providing molecular insights into isoflavone-mediated legume–microbiota interactions.SignificanceIsoflavones play pivotal roles in plant-environment interactions and in the maintenance and improvement of human health. Bacterial metabolism is a fundamental component of isoflavone-mediated interkingdom interactions. In the human gut, intestinal bacteria convert isoflavones into equol, a highly bioactive compound. However, the fate of isoflavones in the legume rhizosphere has not been elucidated, despite them being the key signaling molecules for nodule symbiosis and modulation of the legume root microbiota. Here, we discovered a novel isoflavone catabolism pathway in the soybean root microbiota and demonstrated the strong association between bacterial catabolic abilities and their interactions with host plants. Collectively, our findings provide new insights into bacterial isoflavone metabolism and a molecular understanding of legume-microbiota interactions.
Gene expression is the main driver of purifying selection in large penguin populations
Authors: Trucchi Emiliano , Massa Piergiorgio , Giannelli Francesco , Latrille Thibault , Fernandes Flavia A. N. , Ancona Lorena , Stenseth Nils Chr , Ferrer Obiol Joan , Paris Josephine , Bertorelle Giorgio , Le Bohec Céline 
Published: August 2023

AbstractPurifying selection is the most pervasive type of selection, as it constantly removes deleterious mutations arising in populations, directly scaling with population size. Highly expressed genes appear to accumulate fewer deleterious mutations between divergent species’ lineages (known as E-R anticorrelation), pointing towards gene expression as an additional driver of purifying selection. However, estimates of the effect of gene expression on segregating deleterious variants in natural populations are scarce, as is an understanding of the relative contribution of population size and gene expression to purifying selection. Here, we analyse genomic and transcriptomic data from two natural populations of closely related sister species with different demographic histories, the Emperor penguin (Aptenodytes forsteri) and the King penguin (A. patagonicus), and show that purifying selection at the population-level depends on gene expression rate, resulting in very high selection coefficients at highly expressed genes. Leveraging realistic forward simulations, we estimate that the top 10% of the most highly expressed genes in a genome experience a selection pressure corresponding to an average selection coefficient of -0.1, which decreases to a selection coefficient of -0.01 for the top 50%. Gene expression rate can be regarded as a fundamental parameter of protein evolution in natural populations, maintaining selection effective even at small population size. We suggest it could be used as a proxy for gene selection coefficients, which are notoriously difficult to derive in non-model species under real-world conditions.
Black swan events and stock market behavior in Gulf countries: a comparative analysis of financial crisis (2008) and COVID-19 pandemic
Authors: Rehman Mohd Ziaur , Karimullah Karimullah 
Published: August 2023

PurposeThe current study aims to examine the impact of two black swan events on the performance of six stock markets in Gulf Cooperation Council (GCC) economies (Abu Dhabi, Bahrain, Dubai, Oman, Qatar and Saudi Arabia). The two selected black swan events are the US Mortgage and credit crisis (Global Financial Crisis of 2008) and the COVID-19 pandemic.Design/methodology/approachThe performance of all the six stock markets are represented by their return and price volatility behavior, which has been measured by applying ARCH/GARCH model. The comparative analysis is done by employing mean difference models. The data is collected from Bloomberg on a daily frequency.FindingsThe response of two black swan events on the GCC stock markets has been heterogenous in nature. During the financial crisis, the impact was heavily felt on most of the stock markets in the GCC countries. It is revealed that the financial crisis had a negative significant impact on four of the six countries. Whereas during the COVID-19 crisis, it is revealed that there is no significant impact on four of the six selected stock markets. The positive significant impact is felt on two stock markets, namely, the Abu Dhabi stock market and the Saudi stock market.Originality/valueThe present investigation attempts to fill the gap in the literature on the intended topic because it is evident from the literature on the chosen subject that no study has been undertaken to evaluate and contrast the impact of the GFC crisis and COVID-19 on the GCC stock markets.
Understanding organic food consumption in the European Union: the interaction between health and environmental consumer's goals
Authors: Valero-Gil Jesus , Escario José-Julián , Belanche Daniel , Casaló Luis V. 
Published: August 2023

PurposeBased on goal-directed behavior, this study explores the direct effects and the interaction between health and environmental concerns as the main drivers of organic food consumption. Consumer's economic problems are proposed as the main barrier for such behavior from a cost-benefit approach theoretically grounded on decision theory.Design/methodology/approachData were collected using the 26,669 European 95.1 wave participants of the Eurobarometer survey. Logistic regression estimates are used to analyze the hypotheses postulated.FindingsThe results indicated the significant association of both health and environmental concerns with organic food consumption, as well as the existence of an interactive effect between both consumer goals. As a novel finding, health concern weakens the influence of environmental concern on organic food consumption. Consumer's economic problems harms the expansion of organic food consumption as well as other socio-demographic factors included as control variables.Originality/valueFor the first time, this research explores the interaction effect between health and environmental concerns as antecedents of organic food consumption. The study argues that these consumer goals present differential features in terms of individual importance, feasibility, abstractness and outcome demonstrability, resulting in a prevalence of health over environmental goals for some consumers. The research provides not only novel insights for understanding organic food consumption but also provides additional evidence for practitioners to develop sales strategies and policymakers to formulate policies to guide the promotion of this so desired example of sustainable consumption.
Measuring land lot shapes for property valuation
Authors: Lee Changro 
Published: August 2023

PurposeUnstructured data such as images have defied usage in property valuation for a long time. Instead, structured data in tabular format are commonly employed to estimate property prices. This study attempts to quantify the shape of land lots and uses the resultant output as an input variable for subsequent land valuation models.Design/methodology/approachImagery data containing land lot shapes are fed into a convolutional neural network, and the shape of land lots is classified into two categories, regular and irregular-shaped. Then, the intermediate output (regularity score) is utilized in four downstream models to estimate land prices: random forest, gradient boosting, support vector machine and regression models.FindingsQuantification of the land lot shapes and their exploitation in valuation led to an improvement in the predictive accuracy for all subsequent models.Originality/valueThe study findings are expected to promote the adoption of elusive price determinants such as the shape of a land lot, appearance of a house and the landscape of a neighborhood in property appraisal practices.
A robust study on fractional order HIV/AIDS model by using numerical methods
Authors: Roshan Tasmia , Ghosh Surath , Chauhan Ram P. , Kumar Sunil 
Published: August 2023

PurposeThe fractional order HIV model has an important role in biological science. To study the HIV model in a better way, the model is presented with the help of Atangana- Baleanu operator which is in Caputo sense. Also, the characteristics of the solutions are described briefly with the help of the advance numerical techniques for the different values of fractional order derivatives. This paper aims to discuss the aforementioned objectives.Design/methodology/approachIn this work, Adams-Bashforth method and Euler method are used to get the solution of the HIV model. These are the important numerical methods. The comparison results also are described with the physical meaning of the solutions of the model.FindingsHIV model is analyzed under the view of fractional and AB derivative in Atangana-Baleanu-Caputo sense. The uniqueness of the solution is proved by using Banach Fixed point. The solution is derived with the help of Sumudu transform. Further, the authors employed fractional Adam-Bashforth method and Euler method to enumerate numerical results. The authors have used several values of fractional orders to present the outcomes graphically. The above calculations have been done with the help of MATLAB (R2016a). The numerical scheme used in the proposed study is valid and fruitful, and the same can be used to explore other real issues.Research limitations/implicationsThis investigation can be done for the real data sets.Practical implicationsThis paper aims to express the solution of the HIV model in a better way with the effect of non-locality, this work is very useful.Originality/valueIn this work, HIV model is developed with the help of Atangana- Baleanu operator in Caputo sense. By using Banach Fixed point, the authors proved that the solution is unique. Also, the solution is presented with the help of Sumudu transform. The behaviors of the solutions are checked for different values of fractional order derivatives with the physical meaning with help of the Adam-Bashforth method and the Euler method.
Data augmentation and data mining towards microstructure and property relationship for composites
Authors: Guo Ziyan , Liu Xuhao , Pan Zehua , Zhou Yexin , Zhong Zheng , Yan Zilin 
Published: August 2023

PurposeIn recent years, the convolutional neural network (CNN) based deep learning approach has succeeded in data-mining the relationship between microstructures and macroscopic properties of materials. However, such CNN models usually rely heavily on a large set of labeled images to ensure the accuracy and generalization ability of the predictive models. Unfortunately, in many fields, acquiring image data is expensive and inconvenient. This study aims to propose a data augmentation technique to enhance the performance of the CNN models for linking microstructural images to the macroscopic properties of composites.Design/methodology/approachMicrostructures of composites are synthesized using discrete element simulations and Potts kinetic Monte Carlo simulations. Macroscopic properties such as the elastic modulus, Poisson's ratio, shear modulus, coefficient of thermal expansion, and triple-phase boundary length density are extracted on representative volume elements. The CNN model is trained using the 3D microstructural images as inputs and corresponding macroscopic properties as the labels. The comparison of the predictive performance of the CNN models with and without data augmentation treatment are compared.FindingsThe comparison between the prediction performance of CNN models with and without data augmentation showed that the former reduced the weighted mean absolute percentage error (WMAPE) for the prediction from 5.1627% to 1.7014%. This significant reduction signifies that the proposed data augmentation method can effectively enhance the generalization ability and robustness of CNN models.Originality/valueThis study demonstrates that data augmentation is beneficial for solving the problems of model overfitting, data scarcity, and sample imbalance for CNN-based deep learning tasks at a low cost. By developing more and advanced data augmentation techniques, deep learning accelerated homogenization will boost the multi-scale computational mechanics and materials.
Nonlinear dynamic analysis of soil-pile interactions of nuclear power plants with nonlithological foundation
Authors: Sui Yi , Wang Yi , Yu Xiang 
Published: August 2023

PurposeThe dynamic response of the nuclear power plants (NPPs) with pile foundation reinforcement have not yet been systemically investigated in detail. Thus, there is an urgent need to improve evaluation methods for nonlithological foundation reinforcements, as this issue is bound to become an unavoidable task.Design/methodology/approachA nonlinear seismic wave input method is adopted to consider both a nonlinear viscoelastic artificial boundary and the nonlinear properties of the overburden layer soil. Subsequently, the effects of certain vital parameters on the structural response are analyzed.FindingsA suitable range for the size of the overburden foundation is suggested. Then, when piles are used to reinforce the overburden foundation, the peak frequencies in the floor response spectra (FRS) in the horizontal direction becomes higher (38%). Finally, the Poisson ratio of the foundation soil has a significant influence on the FRS peak frequency in the vertical direction (reduce 35%–48%).Originality/valueThe quantifiable results are performed to demonstrate the seismic responses with respect to key design parameters, including foundational dimensions, the Poisson Ratio of the soil and the depth of the foundation. The results can help guide the development of seismic safety requirements for NPPs.
The role of scarcity-inducing post-stockout disclosures on consumer response to stockouts
Authors: Kumar Pritosh , Hofer Adriana Rossiter , Peinkofer Simone 
Published: August 2023

PurposeApplying a middle-range theorizing to premises of signaling theory and the scarcity principle, this study aims to investigate the mechanisms and effects of different patterns of post-stockout disclosures that highlight the limited supply and high quality of a durable good on consumer satisfaction with the shopping experience and purchase intention, mediated by consumer perceived product scarcity.Design/methodology/approachThe hypotheses are tested with two scenario-based experiments. The first experiment—a between-subjects design—explores the effect of post-stockout disclosures on consumers' perceived scarcity, satisfaction, and purchase intention. The second experiment – a within-subject design – examines the impact of time on consumer responses to stockouts.FindingsResults indicate that perceived product scarcity mediates the relationship between post-stockout disclosures and consumer outcomes. Specifically, post-stockout disclosures present an indirect positive effect on consumer purchase intention, despite reducing satisfaction beyond the effects of the stockout. These results are consistent when disclosures are sent through multiple channels. Results also show that consumers' perceived scarcity and purchase intention decrease over time while dissatisfaction levels remain the same when stockouts persist.Practical implicationsEven though consumers will be dissatisfied upon experiencing a stockout, specific patterns of post-stockout disclosures can be a valuable strategy for consumer retention and lost sales prevention.Originality/valueWhile recent consumer-centric supply chain management literature has investigated mitigation strategies of detrimental consumer response to stockouts, such as “save-the-sale” tactics and price discounts, the mechanisms and effects of different patterns of post-stockouts disclosures highlighting the limited supply and high quality of the product are yet to be investigated.
Pay for performance in Brazilian primary health care: quality of work processes, actions and services
Authors: dos Anjos Davllyn Santos Oliveira , Scherer Magda Duarte dos Anjos , Cantalino Juliana Leal Ribeiro , da Silva Everton Nunes 
Published: August 2023

PurposeIn 2011, Brazil introduced a national pay-for-performance (P4P) scheme called the National Program for Improving Primary Health Care Access and Quality (PMAQ), rolled out over three cycles and reaching more than 5,000 municipalities and 40,000 family health teams (FHTs). There is little evidence on how the PMAQ was implemented locally and whether this variation in implementation affects performance, particularly, in terms of work process indicators. This study compared different cases of municipal-level PMAQ implementation (bonuses paid or not to FHTs) over the last two program cycles to analyze the quality of the work processes, actions and services of FHTs.Design/methodology/approachThis was a cross-sectional analytical study using secondary data from an external evaluation of the Brazilian PMAQ. In total, 27,500 FHTs participated in the evaluation. They were divided into four clusters based on whether or not municipalities paid bonuses to workers during cycles 2 and 3 of the program (2013–2019). Variables regarding work processes, actions and services were classified as “Quality Assurance – QA” or “Continued Quality Improvement – CQI”, and an individual score was assigned based on the average score of each variable.FindingsThe four clusters displayed an increase in overall QA and CQI scores between the two program cycles; though this increase was small between the set of primary health care teams that received bonuses and those that did not.Originality/valueThis paper contributes to bridging the gap in the scientific literature for evaluative studies on the relationship between direct payment for performance to health professionals and better quality actions and services in low and middle-income countries.
Does my boss’s boss matter? Examining the effects of teleworking and manager quality on employee job satisfaction during the COVID-19 pandemic
Authors: Wesemann Andrew 
Published: August 2023

PurposeThis study explicitly explores the moderating role of management quality, at multiple organizational levels, in the relationship between telework and job satisfaction.Design/methodology/approachThis study employs fixed effects regression with clustered robust standard errors at the departmental level to account for the multilevel nature of the data.FindingsThe results of fixed effects analyses suggest that when the quality of one's direct supervisor and the quality of their supervisor's manager is high, the relationship between job satisfaction and telework frequency becomes stronger and positive.Originality/valueThis research illuminates the crucial moderating role of management quality at multiple organizational levels in the relationship between telework and employee job satisfaction during an unprecedented workforce shock.
Co-agglomeration of the culture and tourism industries in Chinese cities
Authors: Song Changyao , Zhang Qi , Li Xinjian , Zhang Anni 
Published: August 2023

Purpose
The interaction between the culture and tourism industries is naturally concentrated in cities. However, the effect of their co-agglomeration on urban tourism development depends on their level of integration. This study aims to answer the following questions: Can culture–tourism co-agglomeration promote the development of the tourism economy? Is the effect of culture–tourism co-agglomeration on tourism development moderated by culture–tourism integration? Does culture–tourism co-agglomeration have spatial spillover effects?

Design/methodology/approach
Taking 262 prefecture-level cities in China from 2009 to 2019 as the research sample, this study measures the degree of culture–tourism co-agglomeration using a co-agglomeration index and measured culture–tourism integration using a coupling coordination degree model. Using a threshold model and a spatial econometric model, this study examined the effect of culture–tourism co-agglomeration on urban tourism development.

Findings
Culture–tourism co-agglomeration had a positive effect on the urban tourism economy, and the effect differed according to geographical location and city grade. Moreover, culture–tourism co-agglomeration’s effect on the urban tourism economy was affected by the level of culture–tourism integration. When the level of culture–tourism integration crossed the threshold, the positive effect of culture–tourism co-agglomeration on the urban tourism economy will be enhanced. Finally, culture–tourism co-agglomeration had positive spatial spillover effects on surrounding cities.

Originality/value
This study integrated culture–tourism co-agglomeration, culture–tourism integration and urban tourism economy into the same research framework and innovatively analyzed the effect of the scale and quality of culture–tourism interaction on the urban tourism economy.