bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effectiveness of using nest boxes as a form of bird protection after building modernization
Authors: Dulisz Beata , Stawicka Anna Maria , Knozowski Paweł , Diserens Tom A. , Nowakowski Jacek J. 
Published: November 2021

AbstractModernization of urban buildings can decrease the availability of nesting sites in buildings, leading to sudden decreases in the density of avifauna. In this study, we investigated the use of nest boxes as a bird conservation measure after buildings were thermally modernized. In a 10 ha experimental area we mounted five types of nest boxes of different sizes and dimensions (a total of 132). Nest boxes were dedicated to species that lost access to their previous nesting sites. All species associated with the buildings significantly declined or disappeared. In the first year after the modernization, the House Sparrow (Passer domesticus) decreased by 66% compared with the period before the modernization, Eurasian Jackdaw (Corvus monedula) by 68%, Common Starling (Sturnus vulgaris) by 70%, and Common Swift (Apus apus) by 100%. In the first two years after the modernization, the birds nested only in nest boxes. Five years of monitoring showed that using nest boxes as compensation for bird nesting sites lost during the renovation of buildings can cause a population to recover to ca. 50% of its original level. To optimize deployments of nest boxes, wildlife managers should consider target species’ preferences for the dimensions and placement of boxes and limit the time boxes are used if a species prefers nesting outside nest-boxes, but in buildings (e. g. the House Sparrow) and does not require additional support.
Differences in breast cancer-risk factors between screen-detected and non-screen-detected cases (MCC-Spain study)
Authors: Hernández-García Marta , Molina-Barceló Ana , Vanaclocha-Espi Mercedes , Zurriaga Óscar , Pérez-Gómez Beatriz , Aragonés Nuria , Amiano Pilar , Altzibar Jone M. , Castaño-Vinyals Gemma , Sala María , Ederra María , Martín Vicente , Gómez-Acebo Inés , Vidal Carmen , Tardón Adonina , Marcos-Gragera Rafael , Pollán Marina , Kogevinas Manolis , Salas Dolores 
Published: November 2021

Abstract
Purpose
The variation in breast cancer (BC)-risk factor associations between screen-detected (SD) and non-screen-detected (NSD) tumors has been poorly studied, despite the interest of this aspect in risk assessment and prevention. This study analyzes the differences in breast cancer-risk factor associations according to detection method and tumor phenotype in Spanish women aged between 50 and 69.

Methods
We examined 900 BC cases and 896 controls aged between 50 and 69, recruited in the multicase–control MCC-Spain study. With regard to the cases, 460 were detected by screening mammography, whereas 144 were diagnosed by other means. By tumor phenotype, 591 were HR+, 153 were HER2+, and 58 were TN. Lifestyle, reproductive factors, family history of BC, and tumor characteristics were analyzed. Logistic regression models were used to compare cases vs. controls and SD vs. NSD cases. Multinomial regression models (controls used as a reference) were adjusted for case analysis according to phenotype and detection method.

Results
TN was associated with a lower risk of SD BC (OR 0.30 IC 0.10–0.89), as were intermediate (OR 0.18 IC 0.07–0.44) and advanced stages at diagnosis (OR 0.11 IC 0.03–0.34). Nulliparity in postmenopausal women and age at menopause were related to an increased risk of SD BC (OR 1.60 IC 1.08–2.36; OR 1.48 IC 1.09–2.00, respectively). Nulliparity in postmenopausal women was associated with a higher risk of HR+ (OR 1.66 IC 1.15–2.40). Age at menopause was related to a greater risk of HR+ (OR 1.60 IC 1.22–2.11) and HER2+ (OR 1.59 IC 1.03–2.45) tumors.

Conclusion
Reproductive risk factors are associated with SD BC, as are HR+ tumors. Differences in BC-risk factor associations according to detection method may be related to prevailing phenotypes among categories.
Why is Generative Grammar Recursive?
Authors: Mallory Fintan 
Published: November 2021

AbstractA familiar argument goes as follows: natural languages have infinitely many sentences, finite representation of infinite sets requires recursion; therefore any adequate account of linguistic competence will require some kind of recursive device. The first part of this paper argues that this argument is not convincing. The second part argues that it was not the original reason recursive devices were introduced into generative linguistics. The real basis for the use of recursive devices stems from a deeper philosophical concern; a grammar that functions merely as a metalanguage would not be explanatorily adequate as it would merely push the problem of explaining linguistic competence back to another level. The paper traces this concern from Zellig Harris and Chomsky’s early work in generative linguistics and presents some implications.
Simplified, interpretable graph convolutional neural networks for small molecule activity prediction
Authors: Weber Jeffrey K. , Morrone Joseph A. , Bagchi Sugato , Pabon Jan D. Estrada , Kang Seung-gu , Zhang Leili , Cornell Wendy D. 
Published: November 2021

AbstractWe here present a streamlined, explainable graph convolutional neural network (gCNN) architecture for small molecule activity prediction. We first conduct a hyperparameter optimization across nearly 800 protein targets that produces a simplified gCNN QSAR architecture, and we observe that such a model can yield performance improvements over both standard gCNN and RF methods on difficult-to-classify test sets. Additionally, we discuss how reductions in convolutional layer dimensions potentially speak to the “anatomical” needs of gCNNs with respect to radial coarse graining of molecular substructure. We augment this simplified architecture with saliency map technology that highlights molecular substructures relevant to activity, and we perform saliency analysis on nearly 100 data-rich protein targets. We show that resultant substructural clusters are useful visualization tools for understanding substructure-activity relationships. We go on to highlight connections between our models’ saliency predictions and observations made in the medicinal chemistry literature, focusing on four case studies of past lead finding and lead optimization campaigns.
Housing developers’ perceived barriers to implementing municipal sustainability requirements in Swedish sustainability-profiled districts
Authors: Candel Melissa , Törnå Niklas 
Published: November 2021

AbstractSwedish municipalities are taking an active role in shaping and implementing sustainability-related policies in urban development by initiating and governing sustainability-profiled district developments on municipally owned land. To drive sustainable development and innovation in these districts and develop future policies, municipalities use land allocation agreements to set project-specific sustainability requirements on housing development projects that go beyond the current national building regulations. Developers play a key role in implementing these municipal sustainability requirements. The purpose of this paper is to explore housing developers’ perceived barriers to implementing municipal sustainability requirements in their projects, which ultimately constrain possibilities for municipalities to drive sustainable development. Findings are based on case studies of two sustainability-profiled district developments in different Swedish municipalities. Main barriers perceived by the developers could be categorized into: (1) increased costs when adapting to unforeseen changes that constrain project budgets and (2) conflicting interests and objectives between interdependent actors. These barriers are contextualised within the relationship between the developers and municipalities. Contributions are made to literature on developers’ roles and perspectives in sustainability-oriented urban development. We illustrate how conflicting short-term and long-term interests between developers and municipalities complicate and impede problem solving in housing development projects. This calls for more research on these actors’ interests, and how they align and conflict in these types of projects. Findings also illustrate how developers resolve issues through interactions with municipalities, indicating collaborative problem solving processes to investigate further.
Reinforcement learning for robotic manipulation using simulated locomotion demonstrations
Authors: Kilinc Ozsel , Montana Giovanni 
Published: November 2021

AbstractMastering robotic manipulation skills through reinforcement learning (RL) typically requires the design of shaped reward functions. Recent developments in this area have demonstrated that using sparse rewards, i.e. rewarding the agent only when the task has been successfully completed, can lead to better policies. However, state-action space exploration is more difficult in this case. Recent RL approaches to learning with sparse rewards have leveraged high-quality human demonstrations for the task, but these can be costly, time consuming or even impossible to obtain. In this paper, we propose a novel and effective approach that does not require human demonstrations. We observe that every robotic manipulation task could be seen as involving a locomotion task from the perspective of the object being manipulated, i.e. the object could learn how to reach a target state on its own. In order to exploit this idea, we introduce a framework whereby an object locomotion policy is initially obtained using a realistic physics simulator. This policy is then used to generate auxiliary rewards, called simulated locomotion demonstration rewards (SLDRs), which enable us to learn the robot manipulation policy. The proposed approach has been evaluated on 13 tasks of increasing complexity, and can achieve higher success rate and faster learning rates compared to alternative algorithms. SLDRs are especially beneficial for tasks like multi-object stacking and non-rigid object manipulation.
A New Class of Revealed Comparative Advantage Indexes
Authors: Danna-Buitrago Jenny P. , Stellian Rémi 
Published: November 2021

AbstractThis paper draws upon a critical analysis of the three RCA indexes in Vollrath (1991) to propose a new class of RCA indexes. The baseline RCA index in this new class rests on the overall structure of trade, is symmetric, avoids size bias and is compatible with the Kunimoto-Vollrath principle. Possible modifications of the baseline RCA index are subsequently suggested to take into account GDP per capita data and to use adjusted trade data with the aim of better measuring comparative advantages. These modified versions together with the baseline RCA index give rise to a whole new class of RCA indexes. An application to the Euro area indicates that this new class is able to rank countries according to their respective levels of comparative advantages in a more consistent way than alternative RCA indexes. Furthermore, the new class of RCA indexes provides second-best solutions for time stationarity and the desirable distributional characteristics of an RCA index.
“I don’t take for granted that I am doing well today”: a mixed methods study on well-being, impact of cancer, and supportive needs in long-term childhood cancer survivors
Authors: Hendriks Manya Jerina , Hartmann Nathalie , Harju Erika , Roser Katharina , Michel Gisela 
Published: November 2021

Abstract
Purpose
With increasing numbers of childhood cancer survivors (CCS), it is important to identify the impact of cancer and CCS’ needs for support services that can mitigate the long-term impact on psychosocial wellbeing, including health-related quality of life (HRQOL). We aimed (1) to describe survivors’ wellbeing, impact of cancer, and supportive care needs and (2) to determine how socio-demographic or clinical characteristics and impact of cancer relate to survivors’ unmet needs.

Method
In this mixed methods study, a quantitative survey was used to assess HRQOL, psychological distress, impact of cancer, and supportive care needs. Qualitative interviews were conducted to explore the meaning of wellbeing, health, and impact of cancer.

Results
Overall, 69 CCS participated in the survey of which 28 participated in qualitative interviews (aged ≥ 18 years, diagnosed with cancer ≤ 18 years). Few CCS (13%) reported poor physical HRQOL, but almost half reported poor mental HRQOL (49%) and psychological distress (42%). Health was considered to encompass both: physical and emotional aspects of wellbeing. Cancer positively impacted CCS’ ability to care and attitude towards life, whereas relationships and insurance were negatively impacted. Risks for unmet needs increased in CCS with self-reported low health status, late effects, psychological distress, with older age at study or longer time since end of treatment.

Conclusion
In our study, many CCS experienced various psychosocial, psychological and informational unmet needs, indicating that survivors’ needs are currently not duly addressed. Current efforts to provide supportive psychosocial care in Switzerland should be further operationalized to provide adequate support.
Józef M. Bocheński and the categorial reconstruction of concepts in the Lvov–Warsaw School
Authors: Brożek Anna 
Published: November 2021

AbstractIn this article, Józef M. Bocheński is presented as a representative of the methodological tendencies of the Lvov–Warsaw School (LWS). Special attention is given to the reconstructive analysis of concepts, the categorial trait of this procedure, and examples of its application by Bocheński. First, some historical and substantial arguments are presented for including Bocheński in the LWS. Secondly, the procedure of the reconstruction of concepts applied in the LWS is characterized. Then the attention turns to the categorial trait of the analysis as indicated by Bocheński. Finally, two examples of Bocheński’s categorial reconstruction of concepts are presented. The article ends with a recapitulation and general remarks.
Emulation-accelerated Hamiltonian Monte Carlo algorithms for parameter estimation and uncertainty quantification in differential equation models
Authors: Paun L. Mihaela , Husmeier Dirk 
Published: November 2021

AbstractWe propose to accelerate Hamiltonian and Lagrangian Monte Carlo algorithms by coupling them with Gaussian processes for emulation of the log unnormalised posterior distribution. We provide proofs of detailed balance with respect to the exact posterior distribution for these algorithms, and validate the correctness of the samplers’ implementation by Geweke consistency tests. We implement these algorithms in a delayed acceptance (DA) framework, and investigate whether the DA scheme can offer computational gains over the standard algorithms. A comparative evaluation study is carried out to assess the performance of the methods on a series of models described by differential equations, including a real-world application of a 1D fluid-dynamics model of the pulmonary blood circulation. The aim is to identify the algorithm which gives the best trade-off between accuracy and computational efficiency, to be used in nonlinear DE models, which are computationally onerous due to repeated numerical integrations in a Bayesian analysis. Results showed no advantage of the DA scheme over the standard algorithms with respect to several efficiency measures based on the effective sample size for most methods and DE models considered. These gradient-driven algorithms register a high acceptance rate, thus the number of expensive forward model evaluations is not significantly reduced by the first emulator-based stage of DA. Additionally, the Lagrangian Dynamical Monte Carlo and Riemann Manifold Hamiltonian Monte Carlo tended to register the highest efficiency (in terms of effective sample size normalised by the number of forward model evaluations), followed by the Hamiltonian Monte Carlo, and the No U-turn sampler tended to be the least efficient.
Constrained parsimonious model-based clustering
Authors: García-Escudero Luis A. , Mayo-Iscar Agustín , Riani Marco 
Published: November 2021

AbstractA new methodology for constrained parsimonious model-based clustering is introduced, where some tuning parameter allows to control the strength of these constraints. The methodology includes the 14 parsimonious models that are often applied in model-based clustering when assuming normal components as limit cases. This is done in a natural way by filling the gap among models and providing a smooth transition among them. The methodology provides mathematically well-defined problems and is also useful to prevent us from obtaining spurious solutions. Novel information criteria are proposed to help the user in choosing parameters. The interest of the proposed methodology is illustrated through simulation studies and a real-data application on COVID data.
Predictive Processing and Some Disillusions about Illusions
Authors: Gallagher Shaun , Hutto Daniel , Hipólito Inês 
Published: November 2021

AbstractA number of perceptual (exteroceptive and proprioceptive) illusions present problems for predictive processing accounts. In this chapter we’ll review explanations of the Müller-Lyer Illusion (MLI), the Rubber Hand Illusion (RHI) and the Alien Hand Illusion (AHI) based on the idea of Prediction Error Minimization (PEM), and show why they fail. In spite of the relatively open communicative processes which, on many accounts, are posited between hierarchical levels of the cognitive system in order to facilitate the minimization of prediction errors, perceptual illusions seemingly allow prediction errors to rule. Even if, at the top, we have reliable and secure knowledge that the lines in the MLI are equal, or that the rubber hand in the RHI is not our hand, the system seems unable to correct for sensory errors that form the illusion. We argue that the standard PEM explanation based on a short-circuiting principle doesn’t work. This is the idea that where there are general statistical regularities in the environment there is a kind of short circuiting such that relevant priors are relegated to lower-level processing so that information from higher levels is not exchanged (Ogilvie and Carruthers, Review of Philosophy and Psychology 7:721–742, 2016), or is not as precise as it should be (Hohwy, The Predictive Mind, Oxford University Press, Oxford, 2013). Such solutions (without convincing explanation) violate the idea of open communication and/or they over-discount the reliable and secure knowledge that is in the system. We propose an alternative, 4E (embodied, embedded, extended, enactive) solution. We argue that PEM fails to take into account the ‘structural resistance’ introduced by material and cultural factors in the broader cognitive system.
A mathematical model for estimating effective stimulated reservoir volume
Authors: Ibrahim Adamu Umar , Negash Berihun Mamo , Rahman Md. Tauhidur , Suleiman Akilu , Kwaku Danso David 
Published: November 2021

AbstractThis study presents a model application for the evaluation of Effective Stimulated Reservoir Volume (ESRV) in shale gas reservoirs. This current model is faster, cheaper, and readily available for estimating ESRV compared to previously published models. Key controlling parameters for efficient ESRV modeling, including geomechanical parameters and time, are considered for the model development. The model was validated for both single and multi-stage fractured reservoirs. For the single fractured reservoir, an ESRV of 3.07 × 106 ft3 was estimated against 3.99 × 106 ft3 of ESRV-FEM field data. Whereas, 7.00 × 109 ft3 ESRV was estimated from the multi-stage fractured reservoir against 7.90 × 109 ft3 of fractal-based model results. Stress dependence, time dependence, and permeability dependence of shale gas reservoirs are found to be essential parameters for the successful calculation of ESRV in reservoirs. An ESRV determined using this method can obtain the estimated ultimate recovery, propped volume, optimal fracture length, and spacing in fractured shale gas reservoirs.
New correlations for predicting two-phase electrical submersible pump performance under downhole conditions using field data
Authors: Chu Thuy , Nguyen Tan C. , Wang Jihoon , Vuong Duc 
Published: November 2021

AbstractElectrical Submersible Pump (ESP) is one of the major Artificial Lift methods that is reliable and effective for pumping high volume of fluids from wellbores. However, ESP is not recommended for applications with high gas liquid ratio. The presence of free gas inside the pump causes pump performance degradation which may lead to problems or even failure during operations. Thus, it is important to investigate effect of free gas on ESP performance under downhole conditions. At present, existing models or correlations are based on/verified with experimental data. This study is one of the first attempts to develop correlations for predicting two-phase gas–liquid pump performance under downhole conditions by using field data and laboratory data. Field data from three oil producing wells provided by Strata Production Company and Perdure Petroleum LLC. as well as experimental data obtained from experimental facility at Production and Drilling Research Project—New Mexico Tech were used in this study. Actual two-phase pump differential pressure per stage is obtained from experiments or estimated from field data and was normalized using pump performance curve. The values are compared to pump performance curve to study the relationships between pump performance and free gas percentage at pump intake. Correlations to predict ESP performance in two-phase flow under downhole and experimental conditions was derived from the results using regression technique. The correlation developed from field data presented in this study can be used to predict two-phase ESP performance under downhole conditions and under high gas fraction. The results from the experimental data confirm the reliability of the developed correlation using field data to predict two-phase ESP performance under downhole conditions. The developed correlation using the laboratory data predicts quite well the two-phase pump performance at the gas fraction of less than 15% while it is no longer reliable when free gas fraction is more than 15%. The findings from this study will help operating companies as well as ESP manufacturers to operate ESPs within the recommended range under downhole conditions. However, it is recommended to use the proposed correlation on reservoirs with conditions similar to those of the three presented wells.