bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-term standardized forest phenology in Sweden: a climate change indicator
Authors: Langvall Ola , Ottosson Löfvenius Mikaell 
Published: October 2019

AbstractBecause climate change alters patterns of vegetative growth, long-term phenological measurements and observations can provide important data for analyzing its impact. Phenological assessments are usually made as records of calendar dates when specific phase changes occur. Such assessments have benefits and are used in Citizen Science monitoring. However, these kinds of data often have low statistical precision when describing gradual changes. Frequent monitoring of the phenological traits of forest trees and berries as they undergo gradual change is needed to acquire good temporal resolution of transitions relative to other factors, such as susceptibility to frosts, insects, and fungi, and the use of berries as a food resource. Intensive weekly monitoring of the growth of apical and branch buds and the elongation of shoots and leaves on four tree species, and the abundance of flowers and berries of bilberry and lingonberry, has been performed in Sweden since 2006. Here, we present quantitative methods for interpolating such data, which detail the gradual changes between assessments in order to describe average rates of development and amount of interannual variation. Our analysis has shown the active growth period of trees to differ with latitude. We also observed a change in the timing of the maximum numbers of ripening berries and their successive decline. Data from tree phenology assessments can be used to recommend best forestry practice and to model tree growth, while berry data can be used to estimate when food resources for animals are most available.
Parallelized microscale fed-batch cultivation in online-monitored microtiter plates: implications of media composition and feed strategies for process design and performance
Authors: Morschett Holger , Jansen Roman , Neuendorf Christian , Moch Matthias , Wiechert Wolfgang , Oldiges Marco 
Published: October 2019

Abstract
Limited throughput represents a substantial drawback during bioprocess development. In recent years, several commercial microbioreactor systems have emerged featuring parallelized experimentation with optical monitoring. However, many devices remain limited to batch mode and do not represent the fed-batch strategy typically applied on an industrial scale. A workflow for 32-fold parallelized microscale cultivation of protein secreting Corynebacterium glutamicum in microtiter plates incorporating online monitoring, pH control and feeding was developed and validated. Critical interference of the essential media component protocatechuic acid with pH measurement was revealed, but was effectively resolved by 80% concentration reduction without affecting biological performance. Microfluidic pH control and feeding (pulsed, constant and exponential) were successfully implemented: Whereas pH control improved performance only slightly, feeding revealed a much higher optimization potential. Exponential feeding with µ = 0.1 h−1 resulted in the highest product titers. In contrast, other performance indicators such as biomass-specific or volumetric productivity resulted in different optimal feeding regimes.
Impacts of wolves on rural economies from recreational small game hunting
Authors: Pedersen Simen , Angelstam Per , Ferguson Michael A.D. , Wabakken Petter , Storaas Torstein 
Published: October 2019

Abstract
Centralized management of large carnivore populations in rural and remote landscapes used by local people often leads to conflicts between the objectives of wildlife conservation and rural development. We tested the hypothesis that the presence of wolves indirectly reduces landowner revenues from traditional small game hunting, and that landowner revenues are more variable closer to wolf territories. The assumed mechanism is that hunters fear that their economically and culturally valuable hunting dogs may be killed by wolves, which results in reduced hunting, and thus reduced revenues for landowners where and when wolves occur. To determine the effect of wolf presence on revenues from sport hunting, we obtained data from 1990 to 2009 on income from small game management areas, in Hedmark and Oppland Counties in Norway, as well as locations of wolf territories. Small game management areas experienced increased sport hunting revenue with increasing distance to the closest wolf territory. Also, inter-annual variation in revenue decreased with increasing distance from wolf territories. Thus, wolf presence may reduce landowners’ revenues from small game hunting, and cause higher economic variability in rural communities. It is important to note that while the economic impacts of wolves may be compensated where governments have the will and the economic resources, the impacts on the lifestyles of rural people (e.g. hunter’s fear of losing prized dogs to wolves) will remain controversial.
Patients’ Satisfaction with HIV Care Providers in Public Health Facilities in Lusaka: A Study of Patients who were Lost-to-Follow-Up from HIV Care and Treatment
Authors: Mukamba Njekwa , Chilyabanyama Obvious N. , Beres Laura K. , Simbeza Sandra , Sikombe Kombatende , Padian Nancy , Holmes Charles , Sikazwe Izukanji , Geng Elvin , Schwartz Sheree R. 
Published: October 2019

Abstract
Prognosis among those who are HIV infected has improved but long-term retention is challenging. Health systems may benefit from routinely measuring patient satisfaction which is a potential driver of engagement in HIV care, but it is not often measured in Africa, and Zambia in particular. This study aims to internally validate a patient satisfaction tool, assess satisfaction among patients previously lost-to-follow up (LTFU) from HIV care in Lusaka province and to measure association between patient satisfaction with their original clinic and re-engagement in HIV care. A cross-sectional assessment of satisfaction was conducted by tracing sampled patients drawn from public health facilities. Our findings suggest that satisfaction tool, previously validated in USA, exhibits high internal consistency for measuring patient satisfaction in the Zambian health system. Patient satisfaction with healthcare providers is associated with re-engagement in HIV care. Future interventions on patient-centred care are likely to optimize and support retention in care.
Impact of Fraxinus excelsior dieback on biota of ash-associated lichen epiphytes at the landscape and community level
Authors: Łubek Anna , Kukwa Martin , Czortek Patryk , Jaroszewicz Bogdan 
Published: October 2019

Abstract
The landscape-scale extinction of a tree species may have a negative impact on diversity of associated epiphytic species. We used ordination and hierarchical clustering methods to assess landscape and the community level effects of reduction in the abundance of European ash Fraxinus excelsior, caused by ash dieback, on the associated epiphytic lichen biota in Białowieża Forest (Poland)—the best preserved forest complex in Central Europe. At the landscape level ash decline impact on the biota of ash-associated epiphytic lichens was weak, due to the high diversity of tree species, which may serve as potential alternative hosts. At this level, oak and hornbeam are the most important alternative hosts, assuring the maintenance of ash-associated epiphytic lichens. Lime, alder, and hazel appeared to be less important but still may serve as substitute phorophytes to approximately 2/3 of the ash-associated lichen biota. About 90% of epiphytic biota are likely to survive on the landscape scale. However, at the community level of alder-ash floodplain forest, where ash was dominant, about 50% of ash-associated epiphytic lichen species are threatened by ash dieback. Our results highlight the importance of a spatial scale in conservation biology. Protection of large forest areas with rich diversity of phorophyte trees increases chances of survival of the associated epiphytic organisms.
Moisture-induced crossover in the thermodynamic and mechanical response of hydrophilic biopolymer
Authors: Zhang Chi , Coasne Benoit , Guyer Robert , Derome Dominique , Carmeliet Jan 
Published: October 2019

Abstract
The use of natural sustainable resources such as wood in green industrial processes is currently limited by our poor understanding of the impact of moisture on their thermodynamic and mechanical behaviors. Here, a molecular dynamics approach is used to investigate the physical response of a typical hydrophilic biopolymer in softwood hemicellulose—xylan—when subjected to moisture adsorption. A unique moisture-induced crossover is found in the thermodynamic and mechanical properties of this prototypical biopolymer with many quantities such as the heat of adsorption, heat capacity, thermal expansion and elastic moduli exhibiting a marked evolution change for a moisture content about 30 wt%. By investigating the microscopic structure of the confined water molecules and the polymer–water interfacial area, the molecular mechanism responsible for this crossover is shown to correspond to the formation of a double-layer adsorbed film along the amorphous polymeric chains. In addition to this moisture-induced crossover, many properties of the hydrated biopolymer are found to obey simple material models.
Climate finance and disclosure for institutional investors: why transparency is not enough
Authors: Ameli Nadia , Drummond Paul , Bisaro Alexander , Grubb Michael , Chenet Hugues 
Published: October 2019

AbstractThe finance sector’s response to pressures around climate change has emphasized disclosure, notably through the recommendations of the Financial Stability Board’s Task Force on Climate-related Financial Disclosures (TCFD). The implicit assumption—that if risks are fully revealed, finance will respond rationally and in ways aligned with the public interest—is rooted in the “efficient market hypothesis” (EMH) applied to the finance sector and its perception of climate policy. For low carbon investment, particular hopes have been placed on the role of institutional investors, given the apparent matching of their assets and liabilities with the long timescales of climate change. We both explain theoretical frameworks (grounded in the “three domains”, namely satisficing, optimizing, and transforming) and use empirical evidence (from a survey of institutional investors), to show that the EMH is unsupported by either theory or evidence: it follows that transparency alone will be an inadequate response. To some extent, transparency can address behavioural biases (first domain characteristics), and improving pricing and market efficiency (second domain); however, the strategic (third domain) limitations of EMH are more serious. We argue that whilst transparency can help, on its own it is a very long way from an adequate response to the challenges of ‘aligning institutional climate finance’.
Technological Competition, Innovation Motive and Corporate Social Responsibility: Evidence from Top Managers of European SMEs
Authors: Graafland Johan , Noorderhaven Niels 
Published: October 2019

AbstractVarious motives have been proposed for firms to engage in corporate social responsibility (CSR), but no attention has been paid to innovation as a motive to engage in CSR. In this paper we explore the role of this motive and hypothesize that it is particularly important for companies facing intensive technological competition. We find support for this in a sample of 2579 top managers of small and medium sized enterprises from 12 European countries. The innovation motive mediates the relationship between technological competition and CSR and is the most (second most) important motive for environmental and social CSR, respectively.
Spontaneous hybrids of Prunus fruticosa Pall. in Hungary
Authors: Hrotkó K. , Feng Y. , Halász J. 
Published: October 2019

Abstract
The European ground cherry (Prunus fruticosa Pall.) as a potential dwarfing rootstock attracted the attention of cherry rootstock researchers in several breeding projects. In order to clarify some doubtful classification of collected and promising specimen of supposed hybrids, we compared morphological characteristics to literature data. Genetic analysis was also undertaken using simple-sequence repeat markers. Our results suggest that the investigated P. fruticosa forma fruticosa specimens are tetraploid and the genetic analysis did not contribute to distinguish the P. fruticosa forma fruticosa and forma aucta. Based on morphological characters, we identified few specimens of spontaneous hybrid P. fruticosa × P. mahaleb (P. × jávorkae). Our genetic analysis supports the hypothesis that the sample shrub is triploid and show genetic relationship with P. mahaleb. This triploid hybrid due to the flower sterility represents a blind alley in its evolution. We identified from each investigated habitat specimens of supposed hybrid derivatives of ground cherry P. fruticosa × P. avium (P. × mohácsyana). This hybrid clearly showed distinct morphological characteristics, easily distinguishable from the P. fruticosa f. fruticosa and f. aucta and the genetic analysis suggests that the accessions are triploid. The flower sterility limits the usage of this hybrid derivative for further cross-breeding but allows usage as clonal cherry rootstock. Our genetic analysis suggests that samples of P. × eminens are tetraploid, fertile hybrid derivative of ground cherry occurring in some habitats of the basic species and show similar morphological characters to the cultivated sour cherry.
The average covering tree value for directed graph games
Authors: Khmelnitskaya Anna , Selçuk Özer , Talman Dolf 
Published: October 2019

Abstract
We introduce a single-valued solution concept, the so-called average covering tree value, for the class of transferable utility games with limited communication structure represented by a directed graph. The solution is the average of the marginal contribution vectors corresponding to all covering trees of the directed graph. The covering trees of a directed graph are those (rooted) trees on the set of players that preserve the dominance relations between the players prescribed by the directed graph. The average covering tree value is component efficient, and under a particular convexity-type condition it is stable. For transferable utility games with complete communication structure the average covering tree value equals to the Shapley value of the game. If the graph is the directed analog of an undirected graph the average covering tree value coincides with the gravity center solution.
Post-disturbance recovery of forest cover and tree height differ with management in Central Europe
Authors: Senf Cornelius , Müller Jörg , Seidl Rupert 
Published: October 2019

Abstract

Context
Recovery from disturbances is a prominent measure of forest ecosystem resilience, with swift recovery indicating resilient systems. The forest ecosystems of Central Europe have recently been affected by unprecedented levels of natural disturbance, yet our understanding of their ability to recover from disturbances is still limited.

Objectives
We here integrated satellite and airborne Lidar data to (i) quantify multi-decadal post-disturbance recovery of two indicators of forest structure, and (ii) compare the recovery trajectories of forest structure among managed and un-managed forests.

Methods
We developed satellite-based models predicting Lidar-derived estimates of tree cover and stand height at 30 m grain across a 3100 km2 landscape in the Bohemian Forest Ecosystem (Central Europe). We summarized the percentage of disturbed area that recovered to > 40% tree cover and > 5 m stand height and quantified the variability in both indicators over a 30-year period. The analyses were stratified by three management regimes (managed, protected, strictly protected) and two forest types (beech-dominated, spruce-dominated).

Results
We found that on average 84% of the disturbed area met our recovery threshold 30 years post-disturbance. The rate of recovery was slower in un-managed compared to managed forests. Variability in tree cover was more persistent over time in un-managed forests, while managed forests strongly converged after a few decades post-disturbance.

Conclusion
We conclude that current management facilitates the recovery of forest structure in Central European forest ecosystems. However, our results underline that forests recovered well from disturbances also in the absence of human intervention. Our analysis highlights the high resilience of Central European forest ecosystems to recent disturbances.
How to be a deontic buck-passer
Authors: Metz Euan K. H. 
Published: October 2019

AbstractDeontic, as opposed toevaluativebuck-passing theories seem to be easier to accept, since there appears to be an intimate connection between deontic properties, such as ‘ought’, ‘requirement’, and ‘permission’ on the one hand, and normative reasons on the other. However, it is far from obvious what, precisely, the connection consists in, and this topic has suffered from a paucity of discussion. This paper seeks to address that paucity by providing a novel deontic buck-passing view, one that avoids the pitfalls both of the most straightforward view on the matter (what I call the “standard view”) as well as a recently articulated view, due to Matt Bedke. It does so by appealing first to the distinction between a reason for, and a reason against, and uses this distinction to clarify what are taken to be two fundamental, but distinct, deontic properties—oughtandrequirement. The resulting view allows us to capture these properties, the structural relations between them, and does so in a way that avoids making supererogation impossible.
Naturalism, tractability and the adaptive toolbox
Authors: Rich Patricia , Blokpoel Mark , de Haan Ronald , Otworowska Maria , Sweers Marieke , Wareham Todd , van Rooij Iris 
Published: October 2019

AbstractMany compelling examples have recently been provided in which people can achieve impressive epistemic success, e.g. draw highly accurate inferences, by using simple heuristics and very little information. This is possible by taking advantage of the features of the environment. The examples suggest an easy and appealing naturalization of rationality: on the one hand, people clearlycanapply simple heuristics, and on the other hand, they intuitivelyoughtdo so when this brings them high accuracy at little cost.. The ‘ought-can’ principle is satisfied, and rationality is meaningfully normative. We show, however, that this naturalization program is endangered by a computational wrinkle in the adaptation process taken to be responsible for this heuristics-based (‘ecological’) rationality: for the adaptation process to guarantee even minimal rationality, it requires astronomical computational resources, making the problem intractable. We consider various plausible auxiliary assumptions in attempt to remove this obstacle, and show that they do not succeed; intractability is a robust property of adaptation. We discuss the implications of our findings for the project of naturalizing rationality.
Fractional-Flow Theory for Non-Newtonian Surfactant-Alternating-Gas Foam Processes
Authors: Salazar Castillo Rodrigo O. , Ter Haar Sterre F. , Ponners Christopher G. , Bos Martijn , Rossen William 
Published: October 2019

AbstractFoam can improve sweep efficiency in gas-injection-enhanced oil recovery. Surfactant-alternating-gas (SAG) is a favored method of foam injection. Laboratory data indicate that foam can be non-Newtonian at low water fractional flowfw, and therefore during gas injection in a SAG process. We investigate the implications of this finding for mobility control and injectivity, by extending fractional-flow theory to gas injection in a non-Newtonian SAG process in radial flow. We make most of the standard assumptions of fractional-flow theory (incompressible phases, one-dimensional displacement through a homogeneous reservoir, instantaneous attainment of local equilibrium), excluding Newtonian mobilities. For this initial study, we ignore the effect of changing or non-uniform oil saturation on foam. Non-Newtonian behavior at lowfwimplies that the limiting water saturation for foam stability varies as superficial velocity decreases with radial distance from the well. We discretize the domain radially and perform Buckley–Leverett analysis on each narrow increment in radius. Solution characteristics move outward with fixedfw. We base the foam model parameters and non-Newtonian behavior on laboratory data in the absence of oil. We compare results to mobility and injectivity determined by conventional simulation, where grid resolution is usually limited. For shear-thinning foam, mobility control improves as the foam front propagates from the well, but injectivity declines somewhat with time. This change in mobility ratio is not that at steady state at fixed water fractional flow in the laboratory, however, because the shock front in a non-Newtonian SAG process does not propagate at fixed fractional flow (though individual characteristics do). Moreover, the shock front is not governed by the conventional condition of tangency to the fractional-flow curve, though it continually approaches this condition. Injectivity benefits from the increased mobility of shear-thinning foam near the well. The foam front, which maintains a constant dimensionless velocity for Newtonian foam, decelerates somewhat with time for shear-thinning foam. For shear-thickening foam, mobility control deteriorates as the foam front advances, though injectivity improves somewhat with time. Overall, however, injectivity suffers from reduced foam mobility at high superficial velocity near the well. The foam front accelerates somewhat with time. Conventional simulators cannot adequately represent these effects, or estimate injectivity accurately, in the absence of extraordinarily fine grid resolution near the injection well.
Deep Learning for Generic Object Detection: A Survey
Authors: Liu Li , Ouyang Wanli , Wang Xiaogang , Fieguth Paul , Chen Jie , Liu Xinwang , Pietikäinen Matti 
Published: October 2019

AbstractObject detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number of predefined categories in natural images. Deep learning techniques have emerged as a powerful strategy for learning feature representations directly from data and have led to remarkable breakthroughs in the field of generic object detection. Given this period of rapid evolution, the goal of this paper is to provide a comprehensive survey of the recent achievements in this field brought about by deep learning techniques. More than 300 research contributions are included in this survey, covering many aspects of generic object detection: detection frameworks, object feature representation, object proposal generation, context modeling, training strategies, and evaluation metrics. We finish the survey by identifying promising directions for future research.