bluuebunny/crossref_metadata_2025_split huggingface dataset:
Plant-feeding may explain why the generalist predator Euseius stipulatus does better on less defended citrus plants but Tetranychus-specialists Neoseiulus californicus and Phytoseiulus persimilis do not
Authors: Cruz-Miralles Joaquín , Cabedo-López Marc , Guzzo Michela , Ibáñez-Gual Victoria , Flors Víctor , Jaques Josep A. 
Published: January 2021

AbstractThe generalist predator Euseius stipulatus (Athias-Henriot) and the Tetranychidae-specialist predators Neoseiulus californicus (McGregor) and Phytoseiulus persimilis Athias-Henriot play a key role in the regulation of Tetranychus urticae Koch in Spanish citrus orchards. Previous studies have shown that sour orange (Citrus aurantium L.) and Cleopatra mandarin (Citrus reshni hort. ex Tan.) display extreme resistance and susceptibility to T. urticae, respectively. When offered a choice between these two genotypes infested by T. urticae, E. stipulatus preferred Cleopatra mandarin, whereas the specialists did not show any preference. The present study was undertaken to check whether these preferences could be related to the feeding of E. stipulatus on the host plant and/or to differences in prey feeding on the two plants. Our results demonstrate that E. stipulatus is a zoophytophagous mite, which can engage in direct plant feeding in sour orange and Cleopatra mandarin, whereas neither N. californicus nor P. persimilis do so. Whereas Cleopatra mandarin provided a higher-quality prey/feeding substrate for E. stipulatus, which may be related to its phytophagy, no differences were observed for the two specialists. As higher constitutive and faster inducible defense against T. urticae in sour orange relative to Cleopatra mandarin plants result in sour orange supporting lower T. urticae densities and plant damage, our results demonstrate that pest regulation by specialist natural enemies may be more effective when prey feed on better defended plants.
Anthropometric risk factors for ovarian cancer in the NIH-AARP Diet and Health Study
Authors: Baumeister Sebastian E. , Schlecht Inga , Trabert Britton , Nolde Michael , Meisinger Christa , Leitzmann Michael F. 
Published: January 2021

AbstractObjectiveIdentifying potentially modifiable risk factors for ovarian cancer is essential for prevention because this cancer is predominantly detected at a late stage. Here, we estimated the relations of general adiposity and measures reflecting body fat distribution to the risk of epithelial ovarian cancer.MethodsWe ascertained 683 ovarian epithelial cancers (343 high-grade serous, 141 non-high grade serous) among 145,575 women, aged 50–72 years (median follow-up 12.6 years), from the National Institutes of Health—American Association of Retired Persons (NIH-AARP) Diet and Health Study. Using Cox models, we estimated confounder-adjusted hazard ratios (HRs) and 95% confidence intervals (CI) for associations of overall ovarian cancer, high-grade serous and non-high-grade serous carcinoma with body mass index, waist circumference, hip circumference, waist–hip ratio, waist–height ratio, body adiposity index, body shape index, and abdominal volume index.ResultsAnthropometric measures were unrelated to overall ovarian cancer, high-grade serous cancer, and non-high-grade serous cancer. For example, the HR for overall ovarian cancer per standard deviation increment of body mass index at baseline was 0.98 (95% CI 0.88–1.10). Similar associations were observed with measurements of body fat distribution.ConclusionThese results do not indicate that adult adiposity is associated with ovarian cancer risk in post-menopausal women.
Low Cycle Fatigue of an Ultrafine Grained AA5083 Aluminum Alloy Composite Produced by Cryomilling
Authors: Contreras A. , Vogt R. G. , Oliveira D. M. , Schoenung J. M. , Gibeling J. C. 
Published: January 2021

Abstract
Low cycle fatigue (LCF) properties were investigated for a novel cryomilled AA5083 aluminum composite with duplex coarse and ultrafine grain sizes and reinforced with boron carbide particulates, referred to as trimodal material. Fully reversed cyclic tests were conducted under plastic strain control at plastic strain amplitudes from 0.15 to 0.6 pct using a constant plastic strain rate in a servo-hydraulic testing system. A nonlinear elastic modulus was used to calculate the elastic contribution to the measured total strain. The LCF performance of this trimodal material is compared to previous results for unreinforced AA5083 aluminum alloy with bimodal grain size (85/15 pct CM/UM) and its coarse-grained wrought counterpart, AA5083-H131. Stress response curves for the trimodal material revealed slow hardening until failure associated with the presence of particulate reinforcements. The very small asymmetry between tension and compression stresses reflects a lack of strain localization beyond the initial cycles. The trimodal and 85/15 pct CM/UM alloys have similar and superior low cycle fatigue strength compared to AA5083-H131. From the Coffin-Manson plot, the trimodal material has a shorter fatigue life than 85/15 pct CM/UM alloy and AA5083-H131 for high plastic strain amplitudes, but nearly identical life at low amplitudes. Microcracks were observed near the dominant crack on trimodal specimen surfaces at failure. Back-scattered images revealed that particulates altered the crack propagation direction; cracks nearly always propagated around particulates.
SARS-CoV-2 and Obesity: “CoVesity”—a Pandemic Within a Pandemic
Authors: Zakka Kimberley , Chidambaram Swathikan , Mansour Sami , Mahawar Kamal , Salminen Paulina , Almino Ramos , Schauer Philip , Kinross James , Purkayastha Sanjay ,   on behalf of the PanSurg Collaborative
Published: January 2021

AbstractIndividuals who are overweight or suffering from obesity are in a chronic state of low-grade inflammation, making them particularly susceptible to developing severe forms of respiratory failure. Studies conducted in past pandemics link obesity with worse health outcomes. This population is thus of particular concern within the context of the COVID-19 pandemic, considering the cessation of obesity management services. This systematic review highlights [1] the reciprocal link between the obesity and COVID-19 pandemics, [2] obesity as a risk factor for more severe disease in past pandemics, [3] potential mechanisms that make individual’s suffering from obesity more susceptible to severe disease and higher viral load, and [4] the need to safely resume bariatric services as recommended by expert guidelines, in order to mitigate the health outcomes of an already vulnerable population.
Managed Wetlands Can Benefit Juvenile Chinook Salmon in a Tidal Marsh
Authors: Aha Nicole M. , Moyle Peter B. , Fangue Nann A. , Rypel Andrew L. , Durand John R. 
Published: January 2021

AbstractLoss of estuarine and coastal habitats worldwide has reduced nursery habitat and function for diverse fishes, including juvenile Chinook salmon (Oncorhynchus tshawytscha). Underutilized off-channel habitats such as flooded rice fields and managed ponds present opportunities for improving rearing conditions and increasing habitat diversity along migratory corridors. While experiments in rice fields have shown enhanced growth rates of juvenile fishes, managed ponds are less studied. To evaluate the potential of these ponds as a nursery habitat, juvenile Chinook salmon (~ 2.8 g, 63 mm FL) were reared in cages in four contrasting locations within Suisun Marsh, a large wetland in the San Francisco Estuary. The locations included a natural tidal slough, a leveed tidal slough, and the inlet and outlet of a tidally muted managed pond established for waterfowl hunting. Fish growth rates differed significantly among locations, with the fastest growth occurring near the outlet in the managed pond. High zooplankton biomass at the managed pond outlet was the best correlate of salmon growth. Water temperatures in the managed pond were also cooler and less variable compared to sloughs, reducing thermal stress. The stress of low dissolved oxygen concentrations within the managed pond was likely mediated by high concentrations of zooplankton and favorable temperatures. Our findings suggest that muted tidal habitats in the San Francisco Estuary and elsewhere could be managed to promote growth and survival of juvenile salmon and other native fishes.
A new approach to enhance the appeal of the Italian territory through art: three study cases from Marche Region
Authors: Valentini Laura , Nesci Olivia 
Published: January 2021

AbstractBorn from a desire to promote the landscape by integrating its origins and physical aesthetics with its naturalistic, cultural, and artistic heritage, we develop narratives about three locations in central Italy, telling them in the language of popular science, supported by the language of art. The different disciplines of science, poetry, and ancient music are applied to the same sites, producing emotional experiences where the encounter and interplay between different representations, and combinations of representations, become an expression of a place. The research introduces three geosites from the Marche Region, central Italy: I Sassi Simone e Simoncello, La Grotta della Beata Vergine di Frasassi, and the Infernaccio Gorge, in order to propose our multidisciplinary approach to the international public. These have been chosen for their value and charm, for their different processes of genesis and evolution, and for the cultural context and feelings they evoke. In a new approach to science communication, our study uses art in the form of music and poetry to encourage people to learn about landscapes. The paper explains the genesis and evolution of the three places, suggests trekking itineraries, includes a poem written specifically for each site, and describes a piece of ancient music and video and cultural offerings relating to each location. Our goal is to educate by fashioning a new perception of landscapes, starting with their physical beauty, and then building on scientific research in co-operation with arts, to improve what we know about their problems and weaknesses, but also about their culture and other strengths.
Green Nanosilicas for Monoaromatic Hydrocarbons Removal from Air
Authors: Ewlad-Ahmed Abdunaser M. , Morris Michael , Holmes Justin , Belton David J. , Patwardhan Siddharth V. , Gibson Lorraine T. 
Published: January 2021

AbstractWe demonstrate a novel application of green nanosilicas (GN), prepared via an environmentally friendly route, in removing volatile organic compounds (VOCs). Herein, we aim to establish GN as viable alternatives to traditional mesoporous silicas for the removal of monoaromatic hydrocarbons (MAHC). The results show that the GN have high extraction efficiencies comparable to those previously reported for mesoporous silicas. It was demonstrated that bespoke GN can be syntheised readily with the ability to tailor their physical properties and MAHC adsorption. In order to understand the MAHC adsorption by GN, their porosity, morphology and pore structure were characterised. It was observed that the combination of broad pore size distribution and, in particular, the presence of meso- and micro-porosity in GN contributed to high MAHC extraction efficiencies and selectivity. Although from a commercial viewpoint, further optimisation of GN is desirable in order to replace traditional sorbents, this work clearly highlights a new family of “green” sorbents, which can be prepared with a substantial reduction in secondary pollution with potential applications in selective gas separation.
Graphical Abstract
Review of Optical Fiber Sensor Network Technology Based on White Light Interferometry
Authors: Li Wenchao , Yuan Yonggui , Yang Jun , Yuan Libo 
Published: January 2021

AbstractOptical fiber sensor networks (OFSNs) provide powerful tools for large-scale buildings or long-distance sensing, and they can realize distributed or quasi-distributed measurement of temperature, strain, and other physical quantities. This article provides some optical fiber sensor network technologies based on the white light interference technology. We discuss the key issues in the fiber white light interference network, including the topology structure of white light interferometric fiber sensor network, the node connection components, and evaluation of the maximum number of sensors in the network. A final comment about further development prospects of fiber sensor network is presented.
FBG Arrays for Quasi-Distributed Sensing: A Review
Authors: Li Chengli , Tang Jianguan , Cheng Cheng , Cai Longbao , Yang Minghong 
Published: January 2021

AbstractFiber Bragg grating (FBG) array is a powerful technique for quasi-distributed sensing along the entire length of sensing fiber with fast response and high precision. It has been widely used for temperature, strain, and vibration monitoring. In this review work, an overview on the recent advances of FBG arrays is conducted. Firstly, the fabrication methods of FBG array are reviewed, which include femtosecond laser system and online writing technique. Then, the demodulation techniques for FBG arrays are presented and discussed. Distributed static sensing can be performed by demodulating wavelength shift of each FBG, while phase demodulation techniques with low noise are employed for dynamic vibration sensing. Simultaneous distributed dynamic and static sensing system based on FBG array is also outlined. Finally, possible future directions are discussed and concluded. It is believed that the FBG array has great development potential and application prospect.
The honey bee genome-- what has it been good for?
Authors: Toth Amy L. , Zayed Amro 
Published: January 2021

AbstractIn 2006, the full complement of DNA sequence information (or ‘genome’) of the Western honey bee,Apis mellifera, was published. This important resource was one of the most important advances in the history of honey bee research, with seemingly limitless applications to unlocking the secrets of honey bee biology and social life and for improving health, breeding and management. Honey bee genomics has seen immense growth in the past one and a half decades. In this article, we reflect on what the genome has added to our understanding of fundamental aspects of honey bee biology, including evolutionary origins, behaviour and health/disease. We conclude that while the genome has fuelled growth in many areas of honey bee research, it is only one part of an emerging systems-based, multi-omics approach. Moving forward, we posit that honey bee research will benefit most from an even fuller integration of genomics with classical approaches in evolution, ethology, physiology and microbiology.
A comparative study of many-objective optimizers on large-scale many-objective software clustering problems
Authors: Prajapati Amarjeet 
Published: January 2021

AbstractOver the past 2 decades, several multi-objective optimizers (MOOs) have been proposed to address the different aspects of multi-objective optimization problems (MOPs). Unfortunately, it has been observed that many of MOOs experiences performance degradation when applied over MOPs having a large number of decision variables and objective functions. Specially, the performance of MOOs rapidly decreases when the number of decision variables and objective functions increases by more than a hundred and three, respectively. To address the challenges caused by such special case of MOPs, some large-scale multi-objective optimization optimizers (L-MuOOs) and large-scale many-objective optimization optimizers (L-MaOOs) have been developed in the literature. Even after vast development in the direction of L-MuOOs and L-MaOOs, the supremacy of these optimizers has not been tested on real-world optimization problems containing a large number of decision variables and objectives such as large-scale many-objective software clustering problems (L-MaSCPs). In this study, the performance of nine L-MuOOs and L-MaOOs (i.e., S3-CMA-ES, LMOSCO, LSMOF, LMEA, IDMOPSO, ADC-MaOO, NSGA-III, H-RVEA, and DREA) is evaluated and compared over five L-MaSCPs in terms of IGD, Hypervolume, and MQ metrics. The experimentation results show that the S3-CMA-ES and LMOSCO perform better compared to the LSMOF, LMEA, IDMOPSO, ADC-MaOO, NSGA-III, H-RVEA, and DREA in most of the cases. The LSMOF, LMEA, IDMOPSO, ADC-MaOO, NSGA-III, and DREA, are the average performer, and H-RVEA is the worst performer.
OODIDA: On-Board/Off-Board Distributed Real-Time Data Analytics for Connected Vehicles
Authors: Ulm Gregor , Smith Simon , Nilsson Adrian , Gustavsson Emil , Jirstrand Mats 
Published: January 2021

AbstractA fleet of connected vehicles easily produces many gigabytes of data per hour, making centralized (off-board)
data processing impractical. In addition, there is the issue of distributing tasks to on-board units in vehicles and processing them efficiently. Our solution to this problem is On-board/Off-board Distributed Data Analytics (OODIDA), which is a platform that tackles both task distribution to connected vehicles as well as concurrent execution of tasks on arbitrary subsets of edge clients. Its message-passing infrastructure has been implemented in Erlang/OTP, while the end points use a language-independent JSON interface. Computations can be carried out in arbitrary programming languages. The message-passing infrastructure of OODIDA is highly scalable, facilitating the execution of large numbers of concurrent tasks.
Science competencies in kindergarten: a prospective study in the last year of kindergarten
Authors: Koerber Susanne , Osterhaus Christopher 
Published: January 2021

AbstractScience competencies are considered an important 21st century skill. How this skill develops in childhood is, however, not well understood, and in particular little is known about how different aspects of science competencies are related. In this prospective study with 58 children aged 5–6 years, we investigate the development of two aspects of science competence: scientific thinking and science content knowledge. Scientific thinking was assessed with a comprehensive 30-item instrument; science content knowledge was measured with an 18-item instrument that assesses children’s knowledge with regard to melting and evaporation. The results revealed basic competencies in scientific thinking and science content knowledge at the end of kindergarten (46% and 49% correct, respectively, both different from chance). In mid-kindergarten, children performed better than chance on the assessment of science content knowledge (40% correct) but not on the assessment of scientific thinking (34% correct). Science content knowledge in mid-kindergarten predicted children’s science content knowledge at the end of kindergarten, as well as scientific thinking (both at 6 years). The opposite pattern did not hold: scientific thinking in mid-kindergarten did not predict science content knowledge at the end of kindergarten. Our findings show initial science competencies during kindergarten, and they suggest that children’s science content knowledge and scientific thinking are interrelated in a meaningful way. These results are discussed with respect to the different hypotheses that connect scientific thinking and science content knowledge as key features of science competencies. Implications for research and teaching are discussed.
The use of scaffolding to promote preschool children’s competencies of evidence-based reasoning
Authors: Hardy Ilonca , Stephan-Gramberg Simone , Jurecka Astrid 
Published: January 2021

AbstractScientific reasoning encompasses individuals‘ evaluation of evidence with regard to a given hypothesis. In this study, we investigated whether preschool children are able to reason with empirical evidence in the science context of elasticity.N = 63 preschoolers were presented with tasks following the deductive reasoning paradigm and were asked to evaluate the relevance of given events (objects) with regard to a hypothesis. In a repeated measures experimental design with three groups, we tested whether different forms of scaffolding (adaptive prompts with/without modeling of advanced reasoning) would promote children’s reasoning compared to a control group without intervention. We found that adaptive prompts with modeling significantly improved children’s evaluation of irrelevant events in the posttest. Further, these children’s reasoning patterns scored significantly higher than those of the control group. Our results suggest that preschool children are able to reason with evidence if they are given adequate support. Specifically, the modeling of advanced reasoning functioned as a scaffold beyond the use of adaptive prompts in irrelevant event evaluations.
A brief review on mechanical and thermal properties of banana fiber based hybrid composites
Authors: Sivaranjana P. , Arumugaprabu V. 
Published: January 2021

AbstractThe usage of banana natural fibers along with polymer matrix composites had created much interest among the researchers due to their low cost, easy availability, strength and enhancement in properties such as mechanical, wear, electrical and thermal. Banana plant is cultivated all over the world which is familiarly used as food products especially banana fruit as well as many household items made from banana fibers. The natural fiber extracted from the banana stem proves to be a potential reinforcement in the composite manufacturing. This review is very much needed because of the enormous research reported on the banana fiber reinforced polymer composites, with such an excellent property offered by this banana fiber reinforcement the impact of hybridization and its need also to be addressed. This brief review article gives a detail information about the combinations of various hybrid composites produced using the banana fiber along with various other natural/synthetic fibers in the polymer matrixes and its performance improvement especially in the mechanical and thermal properties. From the review it was inferred that 30–50% increase in all the mechanical properties such as Tensile, Flexural and Impact strength. Also in addition an enhancement in thermal and moisture resistance also noted. In addition during this review the research gap observed is that the development of bio composites based on banana fiber is very limited and also the influence of banana fiber along with bio resin needs to be studied. The properties such as fatigue, fire resistance also to be analyzed using the banana fiber reinforcement.