bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data-based modeling and identification for general nonlinear dynamical systems by the multidimensional Taylor network
Authors: Yan Hong-Sen , Bi Zhong-Tian , Zhou Bo , Wan Xiao-Qin , Zhang Jiao-Jun , Wang Guo-Biao 
Published: June 2022

PurposeThe present study is intended to develop an effective approach to the real-time modeling of general dynamic nonlinear systems based on the multidimensional Taylor network (MTN).Design/methodology/approachThe authors present a detailed explanation for modeling the general discrete nonlinear dynamic system by the MTN. The weight coefficients of the network can be obtained by sampling data learning. Specifically, the least square (LS) method is adopted herein due to its desirable real-time performance and robustness.FindingsCompared with the existing mainstream nonlinear time series analysis methods, the least square method-based multidimensional Taylor network (LSMTN) features its more desirable prediction accuracy and real-time performance. Model metric results confirm the satisfaction of modeling and identification for the generalized nonlinear system. In addition, the MTN is of simpler structure and lower computational complexity than neural networks.Research limitations/implicationsOnce models of general nonlinear dynamical systems are formulated based on MTNs and their weight coefficients are identified using the data from the systems of ecosystems, society, organizations, businesses or human behavior, the forecasting, optimizing and controlling of the systems can be further studied by means of the MTN analytical models.Practical implicationsMTNs can be used as controllers, identifiers, filters, predictors, compensators and equation solvers (solving nonlinear differential equations or approximating nonlinear functions) of the systems of ecosystems, society, organizations, businesses or human behavior.Social implicationsThe operating efficiency and benefits of social systems can be prominently enhanced, and their operating costs can be significantly reduced.Originality/valueNonlinear systems are typically impacted by a variety of factors, which makes it a challenge to build correct mathematical models for various tasks. As a result, existing modeling approaches necessitate a large number of limitations as preconditions, severely limiting their applicability. The proposed MTN methodology is believed to contribute much to the data-based modeling and identification of the general nonlinear dynamical system with no need for its prior knowledge.
Key audit matters and debt contracting: evidence from China
Authors: Liu Hui , Ning Jiaqi , Zhang Yue , Zhang Junrui 
Published: June 2022

Purpose
In an effort to make audit reports more informative to users, the Public Company Accounting Oversight Board and the International Auditing and Assurance Standards Board adopted a standard that requires auditors to disclose key audit matters (KAMs). This paper aims to explore the impact of the risk information provided by KAMs on corporate debt contracting.

Design/methodology/approach
In China, the KAM standard went into effect for A + H cross-listing companies in 2017 and became mandatory for all listed companies in 2018. This study takes this as an exogenous shock to examine the impact of the KAM disclosures on debt contracting. This study also designs a path analysis to open the “black box” between the risk information in KAMs and the risk perception of creditors. Moreover, This study conducts a textual analysis on the KAMs information based on samples after the release of the KAM standard.

Findings
This study conducts difference-in-difference tests and find that the KAM disclosures decrease interest rates and increase the proportion of long-term debt. Path analyses reveal that the KAM disclosures lead to more favorable debt characteristics through decreasing information asymmetry. This study also finds that the more KAMs are disclosed, the more favorable debt characteristics are and that different categories of KAMs have different effects on debt contracting.

Originality/value
This paper highlights the benefits of KAM disclosures, which are consistent with the convergence argument of risk information disclosures. Investors’ reactions to KAMs are mixed because of the differences in how professional investors and nonprofessional investors interpret information. This study provides evidence of incrementally informative nature of KAMs from the perspective of debt holders, who are professional information users.
Investment decisions and project management over Indian railways: a case of freight corridors
Authors: Bhatia Vinod , Sharma Seema , Bhatia Richa 
Published: June 2022

Purpose
The purpose of the study is to provide insights into the process of decision making. Indian Railways as an organization has to use the available resources based on thorough analysis and proper application of available evaluation methodologies.

Design/methodology/approach
This study uses an integrated group discussion – analytical hierarchy process (AHP) to prioritize capital-intensive Indian Railways projects.

Findings
Through an email-based survey, six important criteria for ranking upcoming domestic freight corridors were selected, and weights for these criteria were calculated through AHP. The sensitivity analysis of the decision model suggests that the results of this study are significant, reliable and robust.

Originality/value
This study lays a foundation for the decision-makers of Indian Railways to consider a scientific approach while finalizing the big investment projects. This paper provides essential insights on prioritizing capital-intensive transport projects and is readily applicable to any case study.
Domestic, inbound and outbound M&A activity interdependence in Brazil
Authors: Kumar Deepak , Saikia Anuradha , Mundi Hardeep Singh 
Published: June 2022

PurposeMergers and acquisitions (M&As) are of three types: domestic, inbound and outbound cross-border. Inbound M&As provide an inflow of foreign funds into the economy, whereas outbound M&As involve the outflow of domestic funds. This paper examines the impact of domestic and cross-border mergers and acquisitions in Brazil on each other.Design/methodology/approachThe authors analyze M&A activity in Brazil and examine the impact domestic, inbound and outbound M&As have on each other. The study uses a vector auto-regressive model to test the relationships for each quarter of 2000–2018. The M&A activity is operationalized using the total number of deals and the cumulative value of the deals in a particular period.FindingsThe results depict stark contrast for M&A activity measured through incidences and monetary value. Overall, the number of deals can better explain each other than value. The authors find that, in terms of incidences, domestic M&A is Granger caused by both outbound and inbound M&As together. Further, inbound and domestic M&As together Granger cause outbound M&As in terms of aggregate monetary value. The impulse response function reveals that incidence shocks created in M&A activity are longer lasting than the value shocks.Practical implicationsThe results have implications for businesses and policymakers. The study reveals the complexities of crowding effects important for businesses. The government needs to structure its future investment-promotion strategies depending on the objectives related to the number and value of M&A activity.Originality/valueThe study uses econometric tools and empirical methods to find the unexplored nature of the relationship between domestic, outbound and inbound cross-border M&As.
Internet banking intensity and bank profitability: evidence from emerging Indian economy
Authors: Ghose Biswajit , Maji Santi Gopal 
Published: June 2022

PurposeThe purpose of this study is to investigate the impact of Internet banking intensity on banks' profitability performance. It also examines the deferential impact of Internet banking intensity on the profitability performance of public and private sector banks.Design/methodology/approachThe study uses data of 67 commercial banks operating in India over 9 years from 2011–2012 to 2019–2020. The volume and value of Internet banking are used as two proxies for Internet banking intensity. Return on assets and return on equity are considered measures of banks' profitability performances. The system GMM model and the three-stage least square (3SLS) model are used to investigate the impact of Internet banking intensity on performance.FindingsThe results indicate that the volume and value of Internet banking increase the overall profitability of the banks. The results further reveal that the positive impact of Internet banking on performance is higher in the case of public sector banks which possibly indicates that there are economies of scale of operation.Practical implicationsThe results suggest that banks and policymakers should strive to increase internet banking scope to improve performance. Private banks should focus on increasing their customer base to achieve economies of scale and public banks should work on the efficient utilization of resources.Originality/valuePrior studies investigated the impact of Internet banking adoption on the performance of banks. This study attempted to examine the impact of Internet banking intensity on the profitability performance of banks in the context of an emerging economy.
Consistent convolution kernel design for missing shots interpolation using an improved U‐net
Authors: Han Dong , Wang Benfeng , Li Jiakuo 
Published: June 2022

ABSTRACTDuring seismic data acquisition, receivers with finer trace intervals can be distributed to record seismic signals. The distance between neighbouring shots, on the other hand, can be significant, resulting in regularly missing shots in the common receiver gathers, which may cause significant spatial aliasing and reduce the precision of later seismic imaging. Traditional interpolation algorithms have several issues and limitations for seismic data with spatial aliasing due to prior assumptions and human–computer interactions. As a result, we present a new deep learning method that includes the generation of adaptive training data and the design of a consistent convolution kernel. Deep learning has the ability to characterize seismic data in a nonlinear manner that is ideal for accurate seismic interpolation. Because the common shot gathers and common receiver gathers have similar features due to the spatial reciprocity of Green's function of the wave equation if all shots have the same physical signatures, the common shot gathers with a refined trace interval are adaptively extracted as the training dataset to guarantee the interpolation performance in the common receiver gathers. With regularly subsampled data as input an improved U‐Net is created and trained to match the desired output, that is, the completed data. The trained network can be deployed to the test common receiver gathers to rebuild regularly missing shots. We develop a novel consistent convolution kernel to ensure high accuracy of missing shot reconstruction while accounting for differences between prestack unmigrated seismic data and images. Using numerically subsampled synthetic and field data, the effectiveness and validity of the developed consistent convolution kernel and the upgraded U‐Net with adaptive training data for missing shot interpolation are demonstrated.
Specificity within bird–parasite–parasitoid food webs: A novel approach for evaluating potential biological control agents of the avian vampire fly
Authors: Ramirez Ismael E. , Causton Charlotte E. , Gutierrez George A. , Mosquera Denis A. , Piedrahita Paolo , Heimpel George E. 
Published: June 2022

Abstract

Quantitative food web analyses can provide insights into the specificity of consumers such as herbivores, parasites and parasitoids. Understanding such patterns can be useful in forecasting the potential benefits and risks of biological control agents being considered for introduction against invasive species.

The avian vampire fly, Philornis downsi (Diptera: Muscidae), is a neotropical bird parasite that is invasive in the Galapagos Islands, where it is causing substantial mortality of endemic bird species. We used a novel in‐field experimental food web approach within the native range of P. downsi in Ecuador to test the hypotheses that pupal parasitoids known to attack P. downsi specialize on members of the genus Philornis, which occur only in bird nests. We deployed pupae of non‐Philornis fly species adjacent to bird nests to assess specificity of the parasitoids and used two indices to assess specificity: Resource Range (RR), which evaluates the breadth of host use, and Pair Difference Index (PDI), which evaluates interaction strength.

The results revealed very strong compartmentalization within the guild of pupal fly parasitoids, with four species attacking only Philornis spp. Both specificity indices indicated significant levels of specificity towards the genus Philornis for two of these species: Conura annulifera and Trichopria sp. novus. We also assessed the specificity of the two dominant Philornis species attacking 11 bird species and preference of the two dominant parasitoid species for bird species. Although there was some significant preference for particular bird species by the Philornis spp., there was no indication that this drove specificity patterns by the parasitoids.

Policy implications. Our results confirm previous laboratory studies indicating specificity by C. annulifera and support the hypothesis that this species would produce few, if any, nontarget impacts if released into Galapagos to suppress populations of the P. downsi. These results can inform an environmental risk assessment framework to guide governmental agencies in deliberation on potential field releases of parasitoids in the Galapagos Islands.
Trait functional diversity explains mixture effects on litter decomposition at the arid end of a climate gradient
Authors: Canessa Rafaella , van den Brink Liesbeth , Berdugo Monica B. , Hättenschwiler Stephan , Rios Rodrigo S. , Saldaña Alfredo , Tielbörger Katja , Bader Maaike Y. 
Published: June 2022

Abstract

Litter decomposition is controlled by climate, litter quality and decomposer communities. Because the decomposition of specific litter types is also influenced by the properties of adjacent types, mixing litter types may result in non‐additive effects on overall decomposition rates. The strength of these effects seems to depend on the litter functional diversity. However, it is unclear which functional traits or combination of traits explain litter mixture effects and whether these depend on the range of trait values and the ecosystems involved. These uncertainties hamper our ability to predict decomposition in plant communities.

We aimed at understanding whether and how functional diversity (measured as functional dispersion, FDis) influences litter decomposition, and how this influence varies among different climates and across decomposition stages. We calculated FDis based on litter traits related to nutrient concentrations or to litter recalcitrance, and tested whether these diversity measures and climatic parameters (soil moisture and temperature) explained litter mixture effects on decomposition.

Additive mixture effects (i.e. decomposition of mixtures equalling the mean decomposition of the single litter types) were common in most of the evaluated climates. Non‐additive, negative effects were mainly restricted to the driest and warmest sites, and decreased with time. Non‐additive effects increased in magnitude with the mixtures' FDis, with positive effects being related to FDis in nutrient traits and negative effects being related to FDis in recalcitrance traits.

Synthesis. Litter mixing did not have strong effects on decomposition rates across the studied climatic gradient overall, and the direction and intensity of the mixture effects were context dependent. The effects were stronger and more negative in the dryer ecosystems. Where effects were found, functional diversity calculated from selected groups of traits (related to nutrients or litter recalcitrance) predicted mixture effects, especially where trait ranges were broad, though much of the variation remains unexplained. We propose that functional diversity metrics based on litter traits that are mechanistically relevant, applied to diverse site‐specific litter mixtures in different climates, can help to better understand under which conditions and in which direction litter diversity affects decomposition.
Outcomes in patients requiring intensive care unit (ICU) admission after emergency laparotomy: A retrospective study
Authors: Ylimartimo Aura T. , Koskela Marjo , Lahtinen Sanna , Kaakinen Timo , Vakkala Merja , Liisanantti Janne 
Published: June 2022

AbstractPurposeOutcomes after emergency laparotomy (EL) are poor. These patients are often admitted to an intensive care unit (ICU). This study explored outcomes in patients who were admitted to an ICU within 48 h after EL.Materials and MethodsThis retrospective single‐center registry study included all patients over 16 years of age that underwent an EL and were admitted to an ICU within 48 h after surgery in Oulu University Hospital, Finland between January 2005 and May 2015. Survival was followed until the end of 2019.ResultsWe included 525 patients. Hospital mortality was 13.3%, 30‐day mortality was 17.3%, 90‐day mortality was 24.2%, 1‐year mortality was 33.0%, and 5‐year mortality was 59.4%. Survivors were younger (57 [45–70] years) than the non‐survivors (73 [62–80] years; p < .001). According to the Cox regression model, death during the follow‐up was associated with age, APACHE II‐score, lower postoperative CRP levels and platelet count of the first postoperative day, and the admission from the post‐anesthesia care unit (PACU) to the ICU instead of direct ICU admission.ConclusionAge, high APACHE II‐score, low CRP and platelet count, and admission from the PACU to the ICU associated with mortality after EL in patients admitted to an ICU within 48 h after EL.
The impact of interactive and diagnostic levers of eco‐control on eco‐innovation: The mediating role of employee environmental citizenship behaviour
Authors: Nuhu Nuraddeen Abubakar , Baird Kevin , Su Sophia 
Published: June 2022

AbstractThe study contributes to the management control system (MCS), environmental and behavioural reaction literature by examining the mediating role of employee environmental citizenship behaviour on the association between the interactive and diagnostic use of eco‐control with eco‐innovation. Based on an empirical analysis of 406 Australian organisations, the results indicate that employee environmental citizenship behaviour mediates the effect of both the interactive and diagnostic use of eco‐control on eco‐innovation (specifically, eco‐product innovation). The findings highlight the importance of eco‐controls and employee behaviour, specifically employee environmental citizenship behaviour, in influencing eco‐innovation.
Early administration of durvalumab after chemoradiotherapy increased risk of pneumonitis in patients with locally advanced non‐small cell lung cancer
Authors: Harada Daijiro , Shimonishi Atsushi , Saeki Kazuhiko , Ninomiya Takashi , Kanzaki Hiromitsu , Nagasaki Kei , Ogura China , Tsutsui Yoko , Kojin Kazuhiro , Hamamoto Yasushi , Kozuki Toshiyuki 
Published: June 2022

AbstractAimsDurvalumab (Durva) administration after chemoradiation therapy (CRT) in locally advanced non‐small‐cell lung cancer (NSCLC) is the standard of care, associated with relatively prolonged progression‐free (PFS) and overall survival. However, pneumonitis occurs in 73.6% of Japanese patients. This retrospective study aimed to identify factors associated with Durva efficacy and safety, specifically, the risk of pneumonitis.MethodsThis study included data from 26 consecutive patients with locally advanced NSCLC who underwent CRT followed by Durva. The rates of adverse events and PFS were examined.ResultsThe median PFS time was 15.6 months (95% confidence interval [CI]: 8.7‐not available). Patients developed pneumonitis of grade 1, 2, 3, and 4 at the rate of 62%, 27%, 12%, and 0%, respectively. The median PFS time was 6.4 months for patients with programmed death ligand 1 (PD‐L1) expression level of <50% and not reached for patients with PD‐L1 expression level of ≥50% (hazard ratio [HR], 0.19; 95% CI: 0.04–0.89), which was significantly prolonged. The cumulative incidence of pneumonitis grade 2 or above was significantly higher when the time between the last day of thoracic radiotherapy (TRT) and the start of Durva therapy was within 14 days compared to >14 days (HR: 0.19; 95% CI: 0.06–0.59). This association was statistically significant in multivariate analysis.ConclusionsThe initiation of Durva therapy within 14 days after TRT may increase the risk of pneumonitis grade 2 or above. Careful observation and suitable treatment are recommended.
Meta‐analysis of ecosystem services associated with oyster restoration
Authors: Smith Rachel S. , Cheng Selina L. , Castorani Max C. N. 
Published: June 2022

AbstractRestoration of foundation species promises to reverse environmental degradation and return lost ecosystem services, but a lack of standardized evaluation across projects limits understanding of recovery, especially in marine systems. Oyster reefs are restored to reverse massive global declines and reclaim valuable ecosystem services, but the success of these projects has not been systematically and comprehensively quantified. We synthesized data on ecosystem services associated with oyster restoration from 245 pairs of restored and degraded reefs and 136 pairs of restored and reference reefs across 3500 km of U.S. Gulf of Mexico and Atlantic coastlines. On average, restoration was associated with a 21‐fold increase in oyster production (mean log response ratio = 3.08 [95% confidence interval: 2.58–3.58]), 34–97% enhancement of habitat provisioning (mean community abundance = 0.51 [0.41–0.61], mean richness = 0.29 [0.19–0.39], and mean biomass = 0.69 [0.39–0.99]), 54% more nitrogen removal (mean = 0.43 [0.13–0.73]), and 89–95% greater sediment nutrients (mean = 0.67 [0.27–1.07]) and organic matter (mean = 0.64 [0.44–0.84]) relative to degraded habitats. Moreover, restored reefs matched reference reefs for these ecosystem services. Our results support the continued and expanded use of oyster restoration to enhance ecosystem services of degraded coastal systems and match many functions provided by reference reefs.
Parents' perceived stress and children's adjustment during the COVID‐19 lockdown in Italy: The mediating role of family resilience
Authors: Giordano Francesca , Daniilidou Athena , Cipolla Alessandra , Landoni Marta , Platsidou Maria 
Published: June 2022

AbstractObjectiveThis study aimed to explore the role of family resilience in the relationship between parents' psychological stress and their perceptions of children's emotional and behavioral symptoms during the COVID‐19 lockdown in Italy.BackgroundThe COVID‐19 lockdown threatened the well‐being of parents, with a potentially cascading effect on children's adjustment. However, the negative impact of parents' stress on children's well‐being may be attenuated in resilient families.MethodDuring the Italian lockdown, an online survey was administered to 649 parents of at least one child aged between 5 and 17 years. Respondents completed the survey themselves and their child(ren). The Perceived Stress Scale, the Walsh Family Resilience Questionnaire, and the Strengths and Difficulties Questionnaire were administered to parents.ResultsResults show that family resilience is a key mechanism in the association of parents' perceived stress with their perceptions of children's emotional symptoms, prosocial behavior, and hyperactivity and that only parents' marital status moderates this relationship.ConclusionThe intervening role of family resilience emphasizes the need to empower parents and families during the pandemic crisis.ImplicationsBy strengthening family resilience, family resources maybe strengthened to meet new challenges more effectively.