bluuebunny/crossref_metadata_2025_split huggingface dataset:
Algebro-geometric Constructions of a Hierarchy of Integrable Semi-discrete Equations
Authors: Zhao Qiulan , Li Caixue , Li Xinyue 
Published: September 2022

AbstractA hierarchy of integrable semi-discrete equations is deduced in terms of the discrete zero curvature equation as well as its bi-Hamiltonian structure is gotten through the trace identity. The above hierarchy is separated into soluble ordinary differential equations according to the relationship between the elliptic variables and the potentials, from which the continuous flow is straightened out via the Abel–Jacobi coordinates resorting to the algebraic curves theory. Eventually, the meromorphic function and the Baker–Akhiezer function are introduced successively on the hyperelliptic curve and the algebro-geometric solutions which are expressed as Riemann theta function can be obtained through the two functions mentioned above.
Elements of an infrastructure for big urban data
Authors: Goodchild Michael F. 
Published: September 2022

AbstractBig Data provides a significant challenge to the practices that have evolved based on traditional sources of urban data. The variety of Big Data raises questions of integration, whether based on space and time or on individual identity. Uncertainty impinges in many ways on Big Data and on methods of data integration, and the goals of data integration are also affected by complex patterns of data ownership and access. Edge computing provides a conceptual basis for a discussion of the locations of computing. A final section speculates about the long-term, broader impacts of Big Data infrastructure. The paper identifies a number of pressing questions for research.
Towards a new paradigm for segregation measurement in an age of big data
Authors: Li Qing-Quan , Yue Yang , Gao Qi-Li , Zhong Chen , Barros Joana 
Published: September 2022

AbstractRecent theoretical and methodological advances in activity space and big data provide new opportunities to study socio-spatial segregation. This review first provides an overview of the literature in terms of measurements, spatial patterns, underlying causes, and social consequences of spatial segregation. These studies are mainly place-centred and static, ignoring the segregation experience across various activity spaces due to the dynamism of movements. In response to this challenge, we highlight the work in progress toward a new paradigm for segregation studies. Specifically, this review presents how and the extent to which activity space methods can advance segregation research from a people-based perspective. It explains the requirements of mobility-based methods for quantifying the dynamics of segregation due to high movement within the urban context. It then discusses and illustrates a dynamic and multi-dimensional framework to show how big data can enhance understanding segregation by capturing individuals’ spatio-temporal behaviours. The review closes with new directions and challenges for segregation research using big data.
Integrating space syntax with spatial interaction
Authors: Batty Michael 
Published: September 2022

AbstractIn this paper, we attempt to compare space syntax with spatial interaction. At one level, these two approaches to urban spatial structure are non-comparable. Space syntax is largely a descriptive technique for visualising spatial relations at the level of connections between places while spatial interaction is a predictive model that forecasts how much travel there will be between places. Space syntax articulates the system in terms of whether or not a physical link, usually at the level of the street, exists while spatial interaction predicts movements between all origins and destinations which are places often anchored in terms of the street network, but which at the level of prediction, assume connections between all places. Space syntax is grounded at a fine spatial scale while spatial interaction defines places as aggregates of activity in larger zones than the scale of the street system. The main output of space syntax is a connectivity matrix of step lengths between streets whereas in spatial interaction, such networks are predetermined, measurable in terms of Euclidean distance or generalised cost of travel, and the output is the volume of travel prior to this being assigned usually to a street network.There is however a fundamental way of relating the implicit network graph of spatial interaction to the explicit planar graph of the street network. We begin by assuming the planar graph of the network is conceived of as a primal problem of spatial interaction while the dual graph linking streets in the planar graph is the graph which is used in space syntax. We exploit this duality and show how we can move easily between spatial interaction as the primal and space syntax as the dual. This is rooted in a more fundamental graph – the bipartite graph which is a list of streets/arcs and their intersections/nodes from which the primal and dual emerge naturally. We explore various accessibility measures and show how they relate and correlate. We then go one step further and consider how various processes of random walking take place in these networks examining the steady states of the primal and dual problems in terms of the likelihood of a random walker visiting any node or street. We thus define primal and dual Markov chains that enable us to generate these probabilities. This provides a basic framework for comparing primal and dual in comparing spatial interaction with space syntax. We illustrate these measures on simple and easy to articulate graphs, extending this to a synthetic network of nearest neighbour links in Greater London based on 699 nodes and 1972 symmetric ‘streets’ between zones. This is a preliminary attack on the problem of linking these two approaches although many challenges remain.
Arqueología Incluyente
Authors: Martínez-Tagüeña Natalia , Sánchez Guadalupe , Carpenter John , Torres Cubillas Luz Alicia , Vélez Leopoldo 
Published: September 2022

AbstractIn Mexico, archaeological heritage belongs to all members of society, according to section XXV of Article 73 of the Mexican Constitution and Article 27 of the federal law on monuments and archaeological sites. The Instituto Nacional de Antropología e Historia (INAH) was founded in 1939 as a federal government agency for the research, protection, and dissemination of archaeological heritage. Although this heritage belongs to all, stringent rules and procedures create an unequal relationship between career professionals and the diverse communities interested in the past (i.e., collectors, local museums, descendant communities). It is long due to begin practicing an inclusive archaeology that considers all the various knowledge systems (i.e., academic, technical, local, and traditional) of the communities interested in the past. Here, we describe case studies from Sonora, Mexico, to propose the implementation of several far-reaching activities with artifact collectors, Indigenous communities, researchers, archaeologists, and INAH Sonora authorities. Our pilot proposal needs to be implemented in other areas of Mexico that continue to prioritize archaeological narratives over other narratives about our past.
Promoting sustainable diets using eco-labelling and social nudges: a randomised online experiment
Authors: De-loyde Katie , Pilling Mark A. , Thornton Amelia , Spencer Grace , Maynard Olivia M. 
Published: September 2022

AbstractThis randomised online experiment aimed to investigate how eco-labelling and social nudging influenced sustainable food choice, as well as consider the effect of motivation to act sustainably. Participants were UK adults ≥18 years (n= 1399). Participants were asked to choose a hypothetical meal (beef, chicken or vegetarian burrito) and were randomly allocated to one of three conditions varying in labelling: eco-labelling; social nudge or control (no label). Co-primary outcomes were the frequency that the vegetarian and chicken burritos were chosen (i.e., the more sustainable food choices). There was evidence that more vegetarian (OR = 3.3 [95% CI 2.0, 5.3]) and chicken (OR = 2.5 [95% CI 1.8, 3.4]) burrito choices were made in the eco-label condition, over the beef burrito, compared to the control condition. In the social nudge condition, there was evidence that participants chose a vegetarian burrito over a beef burrito (OR = 1.7 [95% CI 1.1, 2.7]), but not a vegetarian burrito over a chicken burrito (OR = 1.4 [95% CI 0.9, 2.2]). Although both labels were effective at promoting participants to make more sustainable food choices, the eco-label was the most effective. Choice of burrito was modified by motivation to act sustainably across all conditions. This study suggests that future policy could include eco-labelling and/or a social nudge to reduce meat consumption and meet global climate change targets.
The interplay of infectious diseases consultation and antimicrobial stewardship in candidemia outcomes: A retrospective cohort study from 2016 to 2019
Authors: Ryder Jonathan H. , Van Schooneveld Trevor C. , Lyden Elizabeth , El Ramahi Razan , Stohs Erica J. 
Published: September 2022

AbstractObjective:To evaluate the need for mandatory infectious diseases consultation (IDC) for candidemia in the setting of antimicrobial stewardship guidance.Design:Retrospective cohort study from January 2016 to December 2019.Setting:Academic quaternary-care referral center.Patients:All episodes of candidemia in adults (n = 92), excluding concurrent bacterial infection or death or hospice care within 48 hours.Methods:Primary outcome was all-cause 30-day mortality. Secondary outcomes included guideline-adherence and treatment choice. Guideline-adherence was assessed with the EQUAL Candida score.Results:Of 186 episodes of candidemia, 92 episodes in 88 patients were included. Central venous catheters (CVCs) were present in 66 episodes (71.7%) and were the most common infection source (N = 38, 41.3%). The most frequently isolated species was Candida glabrata (40 of 94, 42.6%). IDC was performed in 84 (91.3%) of 92 candidemia episodes. Mortality rates were 20.8% (16 of 77) in the IDC group versus 25% (2 of 8) in the no-IDC group (P = .67). Other comparisons were numerically different but not significant: repeat blood culture (98.8% vs 87.5%; P = .17), echocardiography (70.2% vs 50%; P = .26), CVC removal (91.7% vs 83.3%; P = .45), and initial echinocandin treatment (67.9% vs 50%; P = .44). IDC resulted in more ophthalmology examinations (67.9% vs 12.5%; P = .0035). All patients received antifungal therapy. Antimicrobial stewardship recommendations were performed in 19 episodes (20.7%). The median EQUAL Candida score with CVC was higher with IDC (16 vs 11; P = .001) but not in episodes without CVC (12 vs 11.5; P = .81).Conclusions:In the setting of an active antimicrobial stewardship program and high consultation rates, mandatory IDC may not be warranted for candidemia.
Hospital-onset bacteremia and fungemia: An evaluation of predictors and feasibility of benchmarking comparing two risk-adjusted models among 267 hospitals
Authors: Yu Kalvin C. , Ye Gang , Edwards Jonathan R. , Gupta Vikas , Benin Andrea L. , Ai ChinEn , Dantes Raymund 
Published: September 2022

AbstractObjectives:To evaluate the prevalence of hospital-onset bacteremia and fungemia (HOB), identify hospital-level predictors, and to evaluate the feasibility of an HOB metric.Methods:We analyzed 9,202,650 admissions from 267 hospitals during 2015–2020. An HOB event was defined as the first positive blood-culture pathogen on day 3 of admission or later. We used the generalized linear model method via negative binomial regression to identify variables and risk markers for HOB. Standardized infection ratios (SIRs) were calculated based on 2 risk-adjusted models: a simple model using descriptive variables and a complex model using descriptive variables plus additional measures of blood-culture testing practices. Performance of each model was compared against the unadjusted rate of HOB.Results:Overall median rate of HOB per 100 admissions was 0.124 (interquartile range, 0.00–0.22). Facility-level predictors included bed size, sex, ICU admissions, community-onset (CO) blood culture testing intensity, and hospital-onset (HO) testing intensity, and prevalence (all P < .001). In the complex model, CO bacteremia prevalence, HO testing intensity, and HO testing prevalence were the predictors most associated with HOB. The complex model demonstrated better model performance; 55% of hospitals that ranked in the highest quartile based on their raw rate shifted to a lower quartile when the SIR from the complex model was applied.Conclusions:Hospital descriptors, aggregate patient characteristics, community bacteremia and/or fungemia burden, and clinical blood-culture testing practices influence rates of HOB. Benchmarking an HOB metric is feasible and should endeavor to include both facility and clinical variables.
The role of real-time, on-site, whole-genome sequencing of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) in guiding the management of hospital outbreaks of coronavirus disease 2019 (COVID-19)
Authors: Marinelli Tina M. , Dolan Leanne , Jenkins Frances , Lee Andie , Davis Rebecca J. , Crawford Simeon , Nield Blake , Ronnachit Amrita , Van Hal Sebastiaan J. 
Published: September 2022

AbstractObjective:We aimed to demonstrate the role of real-time, on-site, whole-genome sequencing (WGS) of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) in the management of hospital outbreaks of coronavirus disease 2019 (COVID-19).Design:This retrospective study was undertaken at our institutions in Sydney, New South Wales, Australia, between July 2021 and April 2022. We included SARS-CoV-2 outbreaks due to SARS-CoV-2 δ (delta) and ο (omicron) variants. All unexpected SARS-CoV-2–positive cases identified within the hospital were managed by the infection control team. An outbreak was defined as 2 or more cases acquired on a single ward. We included only outbreaks with 2 or more suspected transmission events in which WGS was utilized to assist with outbreak assessment and management.Results:We studied 8 outbreaks involving 266 patients and 486 staff, of whom 73 (27.4%) and 39 (8.0%), respectively, tested positive for SARS-CoV-2 during the outbreak management. WGS was used to evaluate the source of the outbreak, to establish transmission chains, to highlight deficiencies in infection control practices, and to delineate between community and healthcare acquired infection.Conclusions:Real-time, on-site WGS combined with epidemiologic assessment is a useful tool to guide management of hospital SARS-CoV-2 outbreaks. WGS allowed us (1) to establish likely transmission events due to personal protective equipment (PPE) breaches; (2) to detect inadequacies in infection control infrastructure including ventilation; and (3) to confirm multiple viral introductions during periods of high community SARS-CoV-2 transmission. Insights gained from WGS-guides outbreak management directly influenced policy including modifying PPE requirements, instituting routine inpatient SARS-CoV-2 surveillance, and confirmatory SARS-CoV-2 testing prior to placing patients in a cohort setting.
A measurement of small-scale features using ionospheric scintillation. Comparison with refractive shift measurements
Authors: Waszewski A. , Morgan J. , Jordan C. H. 
Published: September 2022

AbstractWe present a study of scintillation induced by the mid-latitude ionosphere. By implementing methods currently used in Interplanetary Scintillation studies to measure amplitude scintillation at low frequencies, we have proven it is possible to use the Murchison Widefield Array to study ionospheric scintillation in the weak regime, which is sensitive to structures on scales${\sim}300$m at our observing frequency of 154 MHz, where the phase variance on this scale was$0.06\, \textrm{rad}^{2}$in the most extreme case observed. Analysing over 1000 individual 2-min observations, we compared the ionospheric phase variance with that inferred with previous measurements of refractive shifts, which are most sensitive to scales almost an order of magnitude larger. The two measurements were found to be highly correlated (Pearson correlation coefficient 0.71). We observed that for an active ionosphere, the relationship between these two metrics is in line with what would be expected if the ionosphere’s structure is described by Kolmogorov turbulence between the relevant scales of 300 and 2000 m. In the most extreme ionospheric conditions, the refractive shifts were sometimes found to underestimate the small-scale variance by a factor of four or more, and it is these ionospheric conditions that could have significant effects on radio astronomy observations.
Predation efficiency of the green lacewings Chrysoperla agilis and C. mutata against aphids and mealybugs in sweet pepper
Authors: Koutsoula Galini , Stamkopoulou Athanasia , Pekas Apostolos , Wäckers Felix , Broufas George , Pappas Maria L. 
Published: September 2022

AbstractChrysoperla species include well-known predators of aphids and other soft-bodied arthropods. As such, they are considered important biological control agents of herbivorous pests in agroecosystems where many of green lacewings species occur. Despite the high number of species of the genus Chrysoperla, only a few have been assessed for the predation efficiency of their larvae against pests infesting plants, and even fewer are currently marketed for use in biocontrol practice. Difficulties in species identification within the Chrysoperla carnea complex species in particular has been related to varying success of commercial C. carnea s.l. releases in the field. In this study, we assessed the ability of two Chrysoperla species, Chrysoperla agilis a member of the carnea cryptic species group, and Chrysoperla mutata of the pudica group to consume aphid and mealybug individuals and suppress their populations in sweet pepper plants. We found that third-instar larvae of both species were able to consume a high number of aphids (approximately 120 nymphs per larva) and mealybugs (approximately 105 nymphs per larva) within 24 h. Furthermore, the release of second-instar larvae of both C. agilis and C. mutata was shown to be remarkably efficient in suppressing the pest populations in long-term greenhouse experiments. Aphid populations were suppressed by approximately 98% and mealybugs by 78% as compared to control plants. Our results highlight the predation efficiency and the biocontrol potential of two widespread Chrysoperla species for their use in pest control.
Forward-Looking Policy Rules and Currency Premia
Authors: Filippou Ilias , Taylor Mark P. 
Published: September 2022

AbstractWe evaluate the cross-sectional predictive ability of a forward-looking monetary policy reaction function, or Taylor rule, in both statistical and economic terms. We find that investors require a premium for holding currency portfolios with high implied interest rates while currency portfolios with low implied rates offer negative currency excess returns. Our forward-looking Taylor rule signals are orthogonal to current nominal interest rates and disconnected from carry trade portfolios and other currency investment strategies. The profitability of the Taylor rule portfolio spread is mainly driven by inflation forecasts rather than the output gap and is robust to data snooping and a wide range of robustness checks.
Crises as Opportunities for Growth: The Strategic Value of Business Group Affiliation
Authors: Masulis Ronald W. , Pham Peter K. , Zein Jason , Ang Alvin E. S. 
Published: September 2022

AbstractWe document a novel strategic motive for family business groups to utilize their internal capital markets (ICMs) during financial crises. We find that crisis-period group ICM activity is targeted toward exerting product market dominance over standalone rivals. Groups make significant post-crisis gains in market share that are concentrated among affiliates (and industry segments within affiliates) operating in highly competitive product markets, where capturing such gains is difficult in normal times. These patterns are observed only in emerging markets, suggesting that ICMs enable groups to exploit crises to realize long-term competitive advantages only when rivals face chronic financing frictions.
Insider Filing Violations and Illegal Information Delay
Authors: Cline Brandon N. , Houston Caleb 
Published: September 2022

AbstractWe document that a significant number of insiders violate the Securities and Exchange Commission (SEC) reporting requirements by filing open market transactions after the legally required deadline. Prior to the Sarbanes–Oxley Act (SOX), 29% of transactions fell outside the required reporting window. Following SOX, 8% are delinquent. Violations cluster in periods of high information asymmetry, incentivizing insiders to keep trades private and earn abnormal returns. Collectively, these findings suggest that a subgroup of insiders personally benefit from violating SEC disclosure requirements. Evidence also suggests that blockholders provide governance for violations. Guilty insiders experience a reduction in board seats and an increased likelihood of turnover.
Negation of Sanctions: The Personal Effect of Political Contributions
Authors: Fulmer Sarah , Knill April , Yu Xiaoyun 
Published: September 2022

AbstractWe show that political contributions are associated with reduced civil and criminal sanctions for fraudulent executives. These managers benefit more from contributions if their firm also gained from the fraud, if they occupy top positions in firms with weak boards, or if they contribute to powerful politicians. Political contributions reduce budgetary resources for government enforcers and lengthen the Securities and Exchange Commission’s case time-to-resolution. They also facilitate penalty transfer from fraudulent managers to the firm, resulting in their entrenchment and long-term destruction of shareholder value. Our findings highlight an agency cost of political contributions and a mechanism undermining the disciplining effect of regulations.