bluuebunny/crossref_metadata_2025_split huggingface dataset:
Double Hurwitz numbers: polynomiality, topological recursion and intersection theory
Authors: Borot Gaëtan , Do Norman , Karev Maksim , Lewański Danilo , Moskovsky Ellena 
Published: September 2022

AbstractDouble Hurwitz numbers enumerate branched covers of $${{{\mathbb {C}}}}{{{\mathbb {P}}}}^1$$

C

P

1

with prescribed ramification over two points and simple ramification elsewhere. In contrast to the single case, their underlying geometry is not well understood. In previous work by the second- and third-named authors, the double Hurwitz numbers were conjectured to satisfy a polynomiality structure and to be governed by the topological recursion, analogous to existing results concerning single Hurwitz numbers. In this paper, we resolve these conjectures by a careful analysis of the semi-infinite wedge representation for double Hurwitz numbers. We prove an ELSV-like formula for double Hurwitz numbers, by deforming the Johnson–Pandharipande–Tseng formula for orbifold Hurwitz numbers and using properties of the topological recursion under variation of spectral curves. In the course of this analysis, we unveil certain vanishing properties of $$\Omega $$
Ω
-classes.
Imaging in neuroblastoma
Authors: Littooij Annemieke S. , de Keizer Bart 
Published: September 2022

AbstractNeuroblastoma is the most common extracranial solid malignancy of childhood. The prognosis is highly variable ranging from spontaneous involution in infants to fatal outcome, despite aggressive treatment, in disseminated high-risk neuroblastoma. This paper provides a comprehensive review of the crucial role of imaging during the extensive treatment course.
Platelet‐Rich Plasma (PRP) for Sacrococcygeal Pilonidal Disease: An Updated Systematic Review and Meta‐Analysis
Authors: Brewer C. F. , Correia I. F. S. , Miranda B. H. 
Published: September 2022

AbstractBackgroundPilonidal disease can be a debilitating condition which carries a significant physical and economic burden. This systematic review and updated meta‐analysis presents the evidence for the use of platelet‐rich plasma (PRP) for wound healing following open and minimally‐invasive sacrococcygeal pilonidal surgery.MethodsA literature search was performed during December 2021 for studies relating to platelet‐rich plasma and pilonidal wound healing following surgery.ResultsNine studies remained after applying the exclusion criteria, incorporating a total of 621 (open surgery group) and 309 (minimally‐invasive group) patients, respectively. Pooled analysis of the six open surgery group studies demonstrated a significant reduction in wound healing time (mean difference [MD] = − 13.98 days, 95% CI − 18.41 to − 9.55, p < 0.001, I2 = 98%). Three open surgery group studies compared post‐operative time off work, while three recorded mean pain duration; pooled analysis also revealed a significant reduction in both outcomes, respectively (MD = − 8.7 days, 95% CI − 9.4 to − 8.0, p < 0.001, I2 = 57%; MD = − 9.5 days, 95% CI − 15.6 to − 3.3, p = 0.002, I2 = 98%). Methodological heterogeneity among the minimally‐invasive studies precluded formal meta‐analysis; however, two studies demonstrated a modest improvement in wound healing when treated with PRP.ConclusionsThis systematic review and updated meta‐analysis provide further evidence supporting the use of PRP for wound healing in sacrococcygeal pilonidal disease. PRP application was demonstrated to significantly reduce healing time, postoperative pain and time off work in the open surgery group. Nevertheless, there is still considerable heterogeneity among PRP manufacture and administration techniques, and further high‐powered RCTs with consistent methodology are required to substantiate these findings.
The impact of low-pressure pneumoperitoneum on robotic-assisted radical cystectomy and intracorporeal ileal conduit urinary diversion: a case–control study
Authors: Kostakopoulos Nikolaos , Athanasiadis Grigorios , Omar Muhammad Imran , Abraham Jacalyn , Dimitropoulos Konstantinos 
Published: September 2022

Abstract
Purpose
To evaluate the role of low intra-abdominal pressure (IAP) in improving postoperative recovery in Robotic-assisted radical cystectomy (RARC) and intracorporeal ileal conduit urinary diversion (ICUD).

Methods
A retrospective case–control study of 49 bladder cancer patients offered RARC/ICUD with standard (12 mmHg, n = 24) or low IAP (8 mmHg, n = 25). Outcomes of interest included length of procedure (LoP), estimated blood loss (EBL), blood transfusion, margin positivity rates, time to first flatus (TtFF), time to first bowel movement (TtFBM), ileus and small bowel obstruction (SBO) rates, time to safe discharge (TtSD), postoperative hospital stay (PHS) and pain levels on a postoperative day (POD) 1 and 3. Perioperative complications were recorded using the Clavien-Dindo system.

Results
Demographic and baseline clinical characteristics, LoP, EBL and margin positivity rates were similar between groups. No transfusions were recorded. Median (IQR) TtFF, TtFBM and TtSD were significantly longer in Group 1 vs Group 2 (4 (1) vs 2 (1), 7 (3) vs 6 (2) and 8.5 (5.75) vs 5.0 (1), respectively). PHS and rates of postoperative ileus and SBO were lower in Group 2, however not statistically significant. Severe pain was uncommon in both groups but moderate/severe pain was significantly higher in Group 1 (95.8% vs 48% on POD1 and 62.5% vs 16% on POD3). No significant intraoperative complications were recorded and ≥ Grade 3 postoperative complications at 30 and 90 days were similar.

Conclusion
With limitations, Low-IAP RARC can be safely offered to RARC/ICUD patients and leads to faster bowel recovery, and shorter time to safe discharge compared to standard pneumoperitoneum.
Beyond Wilson–Cowan dynamics: oscillations and chaos without inhibition
Authors: Painchaud Vincent , Doyon Nicolas , Desrosiers Patrick 
Published: September 2022

AbstractFifty years ago, Wilson and Cowan developed a mathematical model to describe the activity of neural populations. In this seminal work, they divided the cells in three groups: active, sensitive and refractory, and obtained a dynamical system to describe the evolution of the average firing rates of the populations. In the present work, we investigate the impact of the often neglected refractory state and show that taking it into account can introduce new dynamics. Starting from a continuous-time Markov chain, we perform a rigorous derivation of a mean-field model that includes the refractory fractions of populations as dynamical variables. Then, we perform bifurcation analysis to explain the occurrence of periodic solutions in cases where the classical Wilson–Cowan does not predict oscillations. We also show that our mean-field model is able to predict chaotic behavior in the dynamics of networks with as little as two populations.
Dynamic Data Structures for Timed Automata Acceptance
Authors: Grez Alejandro , Mazowiecki Filip , Pilipczuk Michał , Puppis Gabriele , Riveros Cristian 
Published: September 2022

AbstractWe study a variant of the classical membership problem in automata theory, which consists of deciding whether a given input word is accepted by a given automaton. We do so through the lenses of parameterized dynamic data structures: we assume that the automaton is fixed and its size is the parameter, while the input word is revealed as in a stream, one symbol at a time following the natural order on positions. The goal is to design a dynamic data structure that can be efficiently updated upon revealing the next symbol, while maintaining the answer to the query on whether the word consisting of symbols revealed so far is accepted by the automaton. We provide complexity bounds for this dynamic acceptance problem for timed automata that process symbols interleaved with time spans. The main contribution is a dynamic data structure that maintains acceptance of a fixed one-clock timed automaton $${\mathcal {A}}$$
A
with amortized update time $$2^{{\mathcal {O}}(|{\mathcal {A}}|)}$$

2

O
(
|
A
|
)

per input symbol.
Consistency plots: a simple graphical tool for investigating agreement in key comparisons
Authors: Ellison Stephen L. R. 
Published: September 2022

AbstractA simple graphical display is described for investigating agreement among interlaboratory data with reported uncertainties. The plot consists of a measure of agreement—the significance level of a test for significant pairwise difference, adjusted for multiple comparisons—plotted as an image in which significance is represented by colour or intensity. This provides an easily interpretable graphical presentation in which the degree of consensus can be judged and in which anomalies are easily visible. The construction of the plot is discussed, with attention to the choice of adjustment for the size of the data set in checking for anomalies. The advantage over visual inspection using error bars is discussed, and some examples from metrology comparisons are presented.
Development of a robust Wi-Fi/4G-based ROS communication platform for an assembly and repair mobile robot with reliable behavior under unstable network or connection failure
Authors: Poberezkin Efim , Roozbahani Hamid , Alizadeh Marjan , Handroos Heikki 
Published: September 2022

AbstractThis paper presents various perspectives on designing and implementing a communication platform for a teleoperated mobile robot. The deployment of a communication network for a mobile robot and the integration of robot components in the developed communication platform are discussed in this article. A Wi-Fi-based communication network has been established, and to secure remote control over long distances, Internet-based communication via the 4G protocol has been launched using a virtual private network setup. Since an unstable network can damage the robot or the surrounding environment, an algorithm has been developed to monitor the state of the network connection through different protocols. The developed algorithm is able to detect network failure independently of the wireless communication technology used and notify the system of any disruptive communication. The robot's primary reactions to connection failure have been programmed to keep the robot under control until the communication with the control station is restored. Various experiments were carried out to validate the performance of the designed algorithm and statistical analysis was performed for each experiment. One of the main contributions of this study is the development of an algorithm for communication between the mobile robot and the control station based on both Wi-Fi and 4G, which is capable to keep the robot behavior safe and reliable in the presence of an unstable network or connection failure.
Capuchin monkeys learn to use information equally well from individual exploration and social demonstration
Authors: Kean Donna , Renner Elizabeth , Atkinson Mark , Caldwell Christine A. 
Published: September 2022

AbstractThe limited evidence of complex culture in non-human primates contrasts strikingly with human behaviour. This may be because non-human primates fail to use information acquired socially as effectively as they use information acquired individually. Here, monkeys were trained on a stimulus discrimination task with a win-stay, lose-shift (WSLS) reward structure. In a social learning condition, the experimenter performed an information trial by choosing between the available stimuli; in an individual condition, monkeys made this choice themselves. The monkeys’ subsequent test trials displayed the same stimulus array. They were rewarded for repetition of rewarded (‘win-stay’) and avoidance of unrewarded (‘lose-shift’) information trial selections. Nine monkeys reached our pre-determined performance criterion on the initial two-stimulus stage. Their ability to generalise the WSLS strategy was then evaluated by transfer to a three-stimulus stage. Minimal differences were found in information use between the social and individual conditions on two-stimuli. However, a bias was found towards repetition of the information trial, regardless of information source condition or whether the information trial selection was rewarded. Proficient subjects were found to generalise the strategy to three-stimuli following rewarded information trials, but performed at chance on unrewarded. Again, this was not found to vary by source condition. Overall, results suggest no fundamental barrier to non-human primates’ use of information from a social source. However, the apparent struggle to learn from the absence of rewards hints at a difficulty with using information acquired from unsuccessful attempts; this could be linked to the limited evidence for cumulative culture in non-human primates.
Safe reuse in modelling language engineering using model subtyping with OCL constraints
Authors: Boronat Artur 
Published: September 2022

AbstractLow-code software development promises rapid delivery of software cloud applications by employing domain-specific languages (DSLs), requiring minimal traditional coding. Model-driven engineering (MDE) provides tools, modelling notations and practices suited for engineering such DSLs, both from a syntactic and semantic perspective. However, low-code software development is heavily reliant on software reuse. It is imperative to provide safe mechanisms that guarantee valid semantic reuse of structural components and their behaviour, most often in a stepwise manner. This article presents a semantic reuse technique based on model subtyping over metamodels to manage correct model-driven engineering of DSLs. Model subtyping is generalized to structural semantics by considering OCL constraints. Moreover, model subtyping is generalized to behavioural semantics by considering specifications of model transformation operations, which may encode operational or translational semantics. Model subtyping facilitates structural and behavioural refinement. It has been implemented atop a bounded model checker, realizing a semi-decidable procedure for verifying that DSL elements are safely reused. The algorithm finds semantic witnesses of inconsistencies when refinement principles are not satisfied, fostering a correct stepwise engineering of DSLs. Moreover, the algorithm produces an extension metamodel that permits the as-is reuse of implementations of model transformation operation specifications. Finally, the versatility of the model subtyping technique is illustrated with common use cases extracted from the research literature.
Attracting private capital for development: Are poorer countries less efficient?
Authors: Naeher Dominik , Narayanan Raghavan 
Published: September 2022

AbstractAccording to common measures of private capital mobilization, such as the shares of foreign direct and portfolio investment in GDP, many low-income countries perform poorly in attracting private capital flows. However, these indicators do not account for differences in economic characteristics across countries, and thus cannot provide insights on countries’ performance relative to their potential levels of private capital flows as determined by their domestic economic structure and constraints. This paper addresses this gap by using nonparametric data envelopment analysis (DEA) to empirically calculate the efficient frontier for private capital mobilization as a function of countries’ domestic enabling environment, and then assess each country’s performance relative to that of other countries featuring similar domestic conditions. Our results reveal that many low-income countries, particularly in Africa and South Asia, which do not rank high according to achieved levels of private capital flows, are in fact performing on or very close to the efficient frontier. This indicates that these countries are good performers given the limited resources available to them. Tracking the performance of countries and regions over time, we furthermore find that sub-Saharan Africa experienced the strongest increases in DEA efficiency scores between 2007 and 2018, indicating that various countries in this region were catching up with the frontier.
Reliability based maintenance programming by a new index for electrical distribution system components ranking
Authors: Mirhosseini Mina , Heydari Azim , Astiaso Garcia Davide , Mancini Francesco , Keynia Farshid 
Published: September 2022

AbstractReliability and accessibility of distribution systems are important goals that have significant impacts on the costs. The proper strategy of maintenance based on components arrangement and assets is the best way to reach these goals. This strategy is a kind of uses reliability-centered maintenance (RCM). Due to the limited maintenance budget, performing maintenance activities for all components of the system is neither possible nor logical. So most of the resources should be allocated to the most critical and important components. This paper presents a novel analytical method of prioritization of distribution systems’ components by introducing a new weighted cumulative Reliability-based diagnostic importance factor. This new factor includes different reliability indexes in form of diagnostic factors and will show that the order of components obtained by this method is better than another method in saving the budget and providing reliability of the system. The process of decision-making for prioritization of distribution systems’ components based on their criticality degree will both improve the reliability level of the total system and decrease the cost of load interruption and finally maintenance costs. The proposed model is implemented on a radial distribution network. Numerical results show the effectiveness of the proposed RCM model for micro-grids.
Cognitive mechanisms for the formation of public perception about national testing: A case of NAPLAN in Australia
Authors: Lee Jihyun , Lee Jung-Sook , Lawton Jodi 
Published: September 2022

AbstractAlthough there has been intense criticism of NAPLAN in educational policy debates in Australia, little scholarly efforts have been made to understand the underlying cognitive mechanisms that contribute to the public narrative about the national testing program. We aim to provide tentative evidence about the way public perceptions about NAPLAN may be formed. Our results show empirical support for the incentive, interpretative, and institutional effects, which suggest ways that national testing program can be improved. That is, it needs to (a) provide a diverse range of incentives to promote people’s self-interest (incentive effect); (b) demonstrate good alignment with the core values, social norms, and attitudes of the given society (interpretative effect); and (c) build a consensus about the institutional use of the test results (institutional effect). We conclude with practical implications and recommendations about seeking public support for the seemingly unpopular national educational policy.
Understanding the relationships among self-ascribed gender traits, social desirability, and ambivalent sexism
Authors: Agut Sonia , Martín-Hernández Pilar , Soto Grisela , Arahuete Lorena 
Published: September 2022

AbstractThe stereotypical gender traits used in self-descriptions could contribute to shape ambivalent sexist attitudes toward women, including antipathy toward women who appear to threaten the gender hierarchy (i.e., hostile sexist attitudes) and affection for women who embrace traditional feminine roles (i.e., benevolent sexism). Empirical evidence associates more stereotypically feminine traits with benevolent sexism and masculine traits with hostile sexism but does not offer a clear picture, likely because of the non-controlled effect of social desirability and other gender traits in those relationships. We examine whether self-ascribed masculine traits moderate the modulating influence of social desirability in the linkage between feminine traits and benevolent sexism, and whether self-ascribed feminine traits moderate the modulating effect of social desirability in the association between masculine traits and hostile sexist attitudes. Results reveal that stereotypical gender traits and social desirability are connected to benevolent and hostile sexism, although differently. The gendered profile of those with benevolent attitudes (i.e., participants who self-attribute largely feminine traits) is different from those with hostile attitudes (i.e., participants who self-ascribe mainly masculine traits). In addition, the need to gain others’ approval or, more importantly, to avoid their disapproval, leads individuals to offer more socially desirable responses that mask their hostility toward women, whereas this need is less evident when hiding benevolent attitudes. As benevolent sexism is more pervasive in society and, unlike hostile sexism, is not easily recognized as a type of prejudice, it is harder to counteract and, therefore, to eliminate.
Application of arsenic surveying for determining the position of former mining and metallurgical constructions: an example from the Radzimowice area (Lower Silesia, SW Poland)
Authors: Kałaska Maciej , Siuda Rafał , Sierpień Paula , Werra Dagmara H. 
Published: September 2022

AbstractSoil geochemical prospecting is becoming an increasingly important part of archaeological research. Therefore, it is possible to determine the location of various archaeological facilities that no longer exist in the study region. In this study, a morphological analysis of the “Stara Góra” deposit in Radzimowice (Lower Silesia, Poland) was performed using LiDAR DTM (light detection and ranging digital terrain model) images and historical data that describe mining in the vicinity of Radzimowice. This method identified numerous remains of centuries-old mining and metallurgical activity. The data collected were used to create a map of arsenic soil concentrations in this area. The map helped point to the exact locations of the old ore-processing facilities. Geochemical mapping was performed on a 20 × 20-m grid at a sampling depth of approximately 0.2 m. The samples were analysed by X-ray fluorescence spectrometry with energy-dispersive X-ray spectroscopy (XRF-EDS). The highest concentrations of this element occurred near the arsenic calciner and related dumps, as well as near dumps created during extraction from the Arnold shaft. In summary, in this article, we present the possibility of using a geochemical map of arsenic concentrations in soils supported by LiDAR data for archaeological purposes.
Farsighted Rationality in Hedonic Games
Authors: Demeze-Jouatsa G.-Herman , Karos Dominik 
Published: September 2022

AbstractWe consider a hedonic coalition formation game in which a coalition chooses for each partition of the player set the probability with which it forms and thereby destroys the current partition. These probabilities are commonly known so that farsighted players know at every partition what future partitions, and hence payoffs, will be reached with what probability. Thus, players can make rational decisions about the moves they support. We show that if coalitions make mistakes with small but positive probability, then there is a behavior profile in which no coalition has a profitable one-shot deviation.