bluuebunny/crossref_metadata_2025_split huggingface dataset:
Review: classical biological control of invasive stink bugs with egg parasitoids – what does success look like?
Authors: Abram Paul K , Mills Nicholas J , Beers Elizabeth H 
Published: March 2020

AbstractAlthough the enemy release hypothesis forms the theoretical basis for classical (=importation) biological control of invasive pests, its core assumptions are not always examined. This could contribute to unrealistic expectations for some biological control programs. In this paper we examine the assumptions that: (i) enemy release has contributed to the invasive nature of four exotic pentatomids in North America; and (ii) classical biological control with egg parasitoids has been or will be successful in reducing populations of these pests below economically significant levels. First, we review the history of biological control programs against invasive stink bugs to highlight the variable and controversial levels of success of introducing egg parasitoids against stink bugs. Then, we use simple stage‐structured matrix models to demonstrate that it may be easy to overestimate the contribution of egg parasitism alone to a reduction in stink bug population growth. Finally, we discuss what realistic expectations might be for success of biological control against invasive stink bugs using egg parasitoids in the context of integrated pest management programs. © 2020 Her Majesty the Queen in Right of Canada Pest Management Science © 2020 Society of Chemical Industry
In praise of partially interpretable predictors
Authors: Le Tri , Clarke Bertrand 
Published: March 2020

AbstractOften there is an uninterpretable model that is statistically as good as, if not better than, a successful interpretable model. Accordingly, if one restricts attention to interpretable models, then one may sacrifice predictive power or other desirable properties. A minimal condition for an interpretable, usually parametric, model to be better than another model is that the first should have smaller mean‐squared error or integrated mean‐squared error. We show through a series of examples that this is often not the case and give the asymptotic forms of a variety of interpretable, partially interpretable, and noninterpretable methods. We find techniques that combine aspects of both interpretability and noninterpretability in models seem to give the best results.
The behavioral turn in flood risk management, its assumptions and potential implications
Authors: Kuhlicke Christian , Seebauer Sebastian , Hudson Paul , Begg Chloe , Bubeck Philip , Dittmer Cordula , Grothmann Torsten , Heidenreich Anna , Kreibich Heidi , Lorenz Daniel F. , Masson Torsten , Reiter Jessica , Thaler Thomas , Thieken Annegret H. , Bamberg Sebastian 
Published: March 2020

AbstractRecent policy changes highlight the need for citizens to take adaptive actions to reduce flood‐related impacts. Here, we argue that these changes represent a wider behavioral turn in flood risk management (FRM). The behavioral turn is based on three fundamental assumptions: first, that the motivations of citizens to take adaptive actions can be well understood so that these motivations can be targeted in the practice of FRM; second, that private adaptive measures and actions are effective in reducing flood risk; and third, that individuals have the capacities to implement such measures. We assess the extent to which the assumptions can be supported by empirical evidence. We do this by engaging with three intellectual catchments. We turn to research by psychologists and other behavioral scientists which focus on the sociopsychological factors which influence individual motivations (Assumption 1). We engage with economists, engineers, and quantitative risk analysts who explore the extent to which individuals can reduce flood related impacts by quantifying the effectiveness and efficiency of household‐level adaptive measures (Assumption 2). We converse with human geographers and sociologists who explore the types of capacities households require to adapt to and cope with threatening events (Assumption 3). We believe that an investigation of the behavioral turn is important because if the outlined assumptions do not hold, there is a risk of creating and strengthening inequalities in FRM. Therefore, we outline the current intellectual and empirical knowledge as well as future research needs. Generally, we argue that more collaboration across intellectual catchments is needed, that future research should be more theoretically grounded and become methodologically more rigorous and at the same time focus more explicitly on the normative underpinnings of the behavioral turn.This article is categorized under:Engineering Water > Planning WaterHuman Water > Water GovernanceScience of Water > Water Extremes
Animal movement models for multiple individuals
Authors: Scharf Henry R. , Buderman Frances E. 
Published: March 2020

AbstractStatistical models for animal movement provide tools that help ecologists and biologists learn how animals interact with their environment and each other. Efforts to develop increasingly realistic, implementable, and scientifically valuable methods for analyzing remotely observed trajectories have provided practitioners with a wide selection of models to help them understand animal behavior. Increasingly, researchers are interested in studying multiple animals jointly, which requires methods that can account for dependence across individuals. Dependence can arise for many reasons, including shared behavioral tendencies, familial relationships, and direct interactions on the landscape. We provide a synopsis of recent statistical methods for animal movement data applicable to settings in which inference is desired across multiple individuals. Highlights of these approaches include the ability to infer shared behavioral traits across a group of individuals and the ability to infer unobserved social networks summarizing dynamic relationships that manifest themselves in movement decisions.This article is categorized under:
Statistical Models > Bayesian Models
Data: Types and Structure > Time Series, Stochastic Processes, and Functional Data
Data: Types and Structure > Social Networks
Lipoprotein(a) plasma levels are not associated with incident microvascular complications in type 2 diabetes mellitus
Authors: Singh Sunny S. , Rashid Mardin , Lieverse Aloysius G. , Kronenberg Florian , Lamina Claudia , Mulder Monique T. , de Rijke Yolanda B. , Sijbrands Eric J. G. , van Hoek Mandy 
Published: March 2020

Abstract
Aims/hypothesis
Microvascular disease in type 2 diabetes is a significant cause of end-stage renal disease, blindness and peripheral neuropathy. The strict control of known risk factors, e.g. lifestyle, hyperglycaemia, hypertension and dyslipidaemia, reduces the incidence of microvascular complications, but a residual risk remains. Lipoprotein (a) [Lp(a)] is a strong risk factor for macrovascular disease in the general population. We hypothesised that plasma Lp(a) levels and the LPA gene SNPs rs10455872 and rs3798220 are associated with the incident development of microvascular complications in type 2 diabetes.

Methods
Analyses were performed of data from the DiaGene study, a prospective study for complications of type 2 diabetes, collected in the city of Eindhoven, the Netherlands (n = 1886 individuals with type 2 diabetes, mean follow-up time = 6.97 years). To assess the relationship between plasma Lp(a) levels and the LPA SNPs with each newly developed microvascular complication (retinopathy n = 223, nephropathy n = 246, neuropathy n = 236), Cox proportional hazards models were applied and adjusted for risk factors for microvascular complications (age, sex, mean arterial pressure, non-HDL-cholesterol, HDL-cholesterol, BMI, duration of type 2 diabetes, HbA1c and smoking).

Results
No significant associations of Lp(a) plasma levels and the LPA SNPs rs10455872 and rs3798220 with prevalent or incident microvascular complications in type 2 diabetes were found. In line with previous observations the LPA SNPs rs10455872 and rs3798220 did influence the plasma Lp(a) levels.

Conclusions/interpretation
Our data show no association between Lp(a) plasma levels and the LPA SNPs with known effect on Lp(a) plasma levels with the development of microvascular complications in type 2 diabetes. This indicates that Lp(a) does not play a major role in the development of microvascular complications. However, larger studies are needed to exclude minimal effects of Lp(a) on the development of microvascular complications.
Enrichment-free analysis of anionic micropollutants in the sub-ppb range in drinking water by capillary electrophoresis-high resolution mass spectrometry
Authors: Höcker Oliver , Bader Tobias , Schmidt Torsten C. , Schulz Wolfgang , Neusüß Christian 
Published: March 2020

AbstractReversed-phase liquid chromatography (RPLC) used for water analysis is not ideal for the analysis of highly polar and ionic contaminants because of low retention. Capillary electrophoresis (CE), on the other hand, is perfectly suited for the separation of ionic compounds but rarely applied in environmental analysis due to the weak concentration sensitivity when coupled to mass spectrometry (MS). However, novel interface designs and MS technology strongly improve the sensitivity. Here, a method is presented enabling the screening of anionic micropollutants in drinking water without sample pretreatment by coupling of CE to an Orbitrap mass spectrometer by a nanoflow sheath liquid interface. Targeted analysis of halogenated acetic acids, trifluoromethanesulfonic acid, and perfluorooctanoic and perfluorooctanesulfonic acid was conducted in drinking water samples which were chlorinated for disinfection. A bare fused silica capillary with an optimized background electrolyte (BGE) for separation consisting of 10% acetic acid with 10% isopropanol with large volume sample injection and optimized interface parameters offer limits of quantification in the range of < 0.1 to 0.5 μg/L with good linearity (R2 > 0.993) and repeatability (14% standard deviation in area). Concentrations of the target analytes ranged from 0.1 to 6.2 μg/L in the water samples. Masses corresponding to halogenated methanesulfonic acids have been found as suspects and were subsequently verified by standards. Mono-, dichloro-, and bromochloro methanesulfonic acid were quantified in a range of 0.2 to 3.6 μg/L. Furthermore, five sulfonic acids, four organosulfates, and the artificial sweeteners acesulfame and cyclamate as well as inorganics such as halides, halogenates, phosphate, and sulfate could be determined as suspects among more than 300 features in a non-targeted screening. Overall, this approach demonstrates the great potential of CE-nanoESI-MS for the screening of ionic contaminants in environmental samples, complementary to chromatographic approaches.
Stability of bubbles in wax-based oleofoams: decoupling the effects of bulk oleogel rheology and interfacial rheology
Authors: Saha S. , Saint-Michel B. , Leynes V. , Binks B. P. , Garbin V. 
Published: March 2020

AbstractOleofoams are dispersions of gas bubbles in a continuous oil phase and can be stabilized by crystals of fatty acids or waxes adsorbing at the oil-air interface. Because excess crystals in the continuous phase form an oleogel, an effect of the bulk rheology of the continuous phase is also expected. Here, we evaluate the contributions of bulk and interfacial rheology below and above the melting point of a wax forming an oleogel in sunflower oil. We study the dissolution behaviour of single bubbles using microscopy on a temperature-controlled stage. We compare the behaviour of a bubble embedded in an oleofoam, which owes its stability to both bulk and interfacial rheology, to that of a bubble extracted from the oleofoam and resuspended in oil, for which the interfacial dilatational rheology alone provides stability. We find that below the melting point of the wax, bubbles in the oleofoam are stable whereas bubbles that are only coated with wax crystals dissolve. Both systems dissolve when heated above the melting point of the wax. These findings are rationalized through independent bulk rheological measurements of the oleogel at different temperatures, as well as measurements of the dilatational rheological properties of a wax-coated oil-air interface.
The unusual problem of upscaling isostaticity theory for granular matter
Authors: Blumenfeld Raphael 
Published: March 2020

AbstractIsostaticity theory (IT) provides stress field equations for marginally rigid packs of non-cohesive particles, interacting through hard-core forces. Its main advantage over strain-based theories is by closing the stress equations with stress–structure, rather than stress–strain, relations, which enables modelling the stress chains, often observed in experiments and simulations. The usefulness of IT has been argued to extend beyond its applicability at marginal rigidity. It has been shown to be derivable from first principles in two-dimensions, with the structure quantified by a fabric tensor that couples to the stress field. However, upscaling IT to the continuum is done currently empirically by postulating convenient closure equations. The problem is that a volume average of the fabric tensor vanishes in the continuum limit, trivialising the closure equation. This poses an unusual upscaling problem, necessitating a new approach. Such an approach is developed here, resolving the problem for planar granular assemblies. The new method is developed initially for idealised ‘unfrustrated’ packs by coarse-graining first to the two-grain scale, after which a conventional coarse-graining can be used. It is then extended to general realistic systems, by introducing an intermediate ‘de-frustration’ procedure. The applicability of the method is illustrated with a tractable example.
Graphic abstract
The Physical Mandate for Belief-Goal Psychology
Authors: McGregor Simon , Chrisley Ron 
Published: March 2020

AbstractThis article describes a heuristic argument for understanding certain physical systems in terms of properties that resemble the beliefs and goals of folk psychology. The argument rests on very simple assumptions. The core of the argument is that predictions about certain events can legitimately be based on assumptions about later events, resembling Aristotelian ‘final causation’; however, more nuanced causal entities (resembling fallible beliefs) must be introduced into these types of explanation in order for them to remain consistent with a causally local Universe.
Planning-based security testing of web applications with attack grammars
Authors: Bozic Josip , Wotawa Franz 
Published: March 2020

AbstractWeb applications are deployed on machines around the globe and offer almost universal accessibility. These applications assure functional interconnectivity between different components on a 24/7 basis. One of the most important requirements is data confidentiality and secure authentication. However, implementation flaws and unfulfilled requirements often result in security leaks that malicious users eventually exploited. In this context, the application of different testing methods is of utmost importance in order to detect software defects during development and to prevent unauthorized access in advance. In this paper, we contribute to test automation for web applications. In particular, we focus on using planning for testing where we introduce underlying models covering attacks and their use in testing of web applications. The planning model offers a high degree of extendibility and configurability and as well overcomes limits of traditional graphical representations. New testing possibilities emerge that eventually lead to better vulnerability detection, therefore ensuring more secure web services and applications.
The rationale of using cerebral embolic protection devices during transcatheter aortic valve implantation
Authors: Simsek C. , Schölzel B. E. , den Heijer P. , Vos J. , Meuwissen M. , van den Branden B. , IJsselmuiden A. J. J. 
Published: March 2020

AbstractAortic valve stenosis is one of the most common valvular abnormalities, which can manifest as angina, syncope, dyspnoea and sudden cardiac death. Transcatheter aortic valve implantation (TAVI) has been introduced as an alternative to surgical valve replacement in patients with severe aortic valve stenosis, resulting in less morbidity, shorter time to recovery and similar mortality rates. Progress in this field has reduced complication rates. However, the incidence of peri-procedural stroke remains relatively high (around 4%). To fully utilise the potential of TAVI, cerebral embolic protection devices (CEPD) have been developed and introduced. In this position paper, we aim to summarise the available data on several CEPD.
Leaving the Shadow: A Configurational Approach to Explain Post-identification Outcomes of Shadow IT Systems
Authors: Fürstenau Daniel , Rothe Hannes , Sandner Matthias 
Published: March 2020

AbstractWith the advent of end-user and cloud computing, business users can implement information systems for work practices on their own – either from scratch or as extensions to existing systems. The resulting information systems, however, often remain hidden from managers and official IT units, and are therefore called “shadow IT systems”. When a shadow IT system is identified, the organization has to decide on the future of this system. The study uses a configurational perspective to explain outcomes of shadow IT system identification, as well as the mechanisms and contextual conditions which bring them about. For this purpose, 27 profiles of shadow IT systems were compiled by conducting 35 interviews with respondents from different positions and industries. The analysis gives insight into six distinct context-mechanism-outcome configurations explaining four outcomes that occur after shadow IT system identification, namely phase-out, replacement, continuing as IT-managed system, and continuing as business-managed system. These results contribute to the shadow IT literature and, more broadly, IS architecture and governance streams of the IS literature. They inform IT managers when these weigh decision options for identified shadow IT systems given different contextual conditions.
The effects of seawater and nanosilica on the performance of blended cements and composites
Authors: Sikora Pawel , Lootens Didier , Liard Maxime , Stephan Dietmar 
Published: March 2020

AbstractThis study investigates the effects of seawater and nanosilica (3% by weight of cement), on the fresh and hardened properties of cement pastes and mortars produced with two types of low heat cements: Portland pozzolana cement (CEM II) and blast furnace cement (CEM III). The heat of hydration, initial and final setting times, rheological properties, strength development, sorptivity and water accessible porosity of the cement pastes and mortars were determined. The data reveal that cement type has a significant effect on the reaction rate of cement with seawater and nanosilica (NS). Specimens produced with slag-blended cement exhibited a higher cement reaction rate and the composite produced exhibited better mechanical performance, as a result of the additional reaction of alumina rich phases in slag, with seawater. Replacement of freshwater with seawater contributes mostly to a significant improvement of early strength. However, in the case of slag-blended cement, 28 day strength also improved. The incorporation of NS results in additional acceleration of hydration processes, as well as to a decrease in cement setting time. In contrast, the addition of NS results in a noticeable increment in the yield-stress of pastes, with this effect being pronounced when NS is mixed along with seawater. Moreover, the use of seawater and NS has a beneficial effect on microstructure refinement, thus improving the transport properties of cement mortars. Overall, the study has showed that both seawater and NS can be successfully used to accelerate the hydration process of low heat blended cements and to improve the mechanical and transport properties of cement-based composites.
Dynkin game under g-expectation in continuous time
Authors: Wu Helin , Ren Yong , Hu Feng 
Published: March 2020

AbstractIn this paper, we investigate some kind of Dynkin game under g-expectation induced by backward stochastic differential equation (short for BSDE). The lower and upper value functions $$\underline{V}_t=ess\sup \nolimits _{\tau \in {\mathcal {T}_t}} ess\inf \nolimits _{\sigma \in {\mathcal {T}_t}}\mathcal {E}^g_t[R(\tau ,\sigma )]$$

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Visualization of the molten pool of the laser beam submerged arc hybrid welding process
Authors: Reisgen U. , Olschok S. , Engels O. 
Published: March 2020

AbstractSubmerged arc welding is currently the predominant industrial welding process for joining various steel grades in the plate thickness range of about 40 mm. A high energy input and the associated component distortion are unavoidable due to the high number of welding layers. By combining the conventional submerged arc welding process with the laser beam welding process to form a common hybrid welding process, this welding task can be mastered in only two welding layers by means of layer-counter-layer technology. This considerably reduces the welding time and thermally induced component distortion to a minimum due to the symmetrical energy input. A characteristic feature of a hybrid welding process is the formation of a common weld pool. In previous studies, the mixing of the molten pool has already been proven using chemical analysis methods. In the context of this paper, the shaping of the hybrid weld pool is also discussed. The molten material is expelled out of the joining zone by means of a gas pressure surge. Subsequently, a light section sensor was used to scan this area and produce a three-dimensional image from the formerly molten weld seam area. This shows that a single contiguous melt pool is produced. Finally, the first one-sided welds with full penetration and backing will be presented and discussed.