Use Of Complementarity Research Articles

Comprehensive characterization of modern industrial Argentinian paints for improved chronological painting attribution

Throughout the twentieth century, the paint industry developed a multitude of new binding media, pigments and additives that improved the appearance, ease of application, and performance of modern industrial paints. Depending on when and where they were first manufactured, and when they were introduced into paint formulations, some of these new paint components could conceivably be chronological markers useful in assigning attribution to specific artists or in the study of forgeries. The aim of this study was to develop a systematic methodology for characterizing organic and inorganic materials in modern paints, and search for potential chronological markers. Colored reference paints manufactured by local companies in Argentina from the 1940s and 1950s were studied with a multi-analytical approach that included Fourier-transform infrared spectroscopy, gas chromatography coupled with mass spectrometry, Raman spectroscopy, X-ray diffraction, X-ray fluorescence and scanning electron microscopy with energy dispersive X-ray analysis. A wide range of compounds was identified due to the complementarity use of the analytical techniques. Historical references, patents, books, and scientific publications about the materials used in that time period provided invaluable information in establishing tentative timelines for modern paint components. This investigation was part of a broader interdisciplinary investigation of Concrete Art, an international art movement of the beginning of the twentieth century, which took place in Argentina and other nearby countries during the 1940s and 1950s. To prove the concept, a micro-sample from “Obra N° 171” by Raúl Lozza was analyzed. Organic and inorganic fractions were studied and the information collected was correlated with developed timelines to support the authentication process. Ultimately, the information from this study may also have a direct impact on the key areas of material characterization, aging behavior, and conservation of works of art made from these products.

Multi-view fuzzy clustering of deep random walk and sparse low-rank embedding

Multi-view clustering aims to improve the learning performance by exploiting discriminative information from heterogeneous data sources. It has been capturing growing research attention due to its wide utilization in the areas of data mining and computer vision. However, the full use of complementarity and consistency from multi-view data is still a challenging task. Here, we propose a novel multi-view fuzzy clustering, which adopts the joint learning of deep random walk and sparse low-rank embedding. First, a deep random walk is employed to acquire a robust similarity matrix of data points and convert fuzzy membership matrix learning to adaptive graph learning. Second, the adaptive graph is restricted with sparse low-rank constraints, which ensures its strong discriminative ability and effective cluster assignments. Third, by exploiting the sparse low-rank property, the multi-view fuzzy clustering problem is formulated as optimizing a regularized graph adjacency matrix with distance metric learning and spectral norm minimization simultaneously. The distance metric learning is embedded to scatter all data points so that any two samples are projected onto a low-dimensional subspace with a large margin. Finally, an efficient algorithm is developed for the formulated problem and its convergence is also guaranteed. In order to demonstrate the superiority of the proposed method, extensive experiments are conducted by comparing state-of-the-arts on real-world databases.

Limited effects of century-old biochar on taxonomic and functional diversities of collembolan communities across land-uses

Biochar is often considered as a promising climate-smart agricultural tool capable of stabilizing carbon overtime in soils while improving crop productivity. However, long-term consequences for soil biodiversity have barely been addressed. The main aim of this study was to investigate the effects of centennial biochar on the total collembolan densities, the taxonomic and functional diversities of collembolan communities. We sampled preindustrial charcoal kiln sites across three land-uses (cropland, grassland and forest) in temperate soils as model for aged biochar. The complementarity use of total collembolan densities, a taxonomic approach (species richness, Pielou evenness) and a functional approach (functional richness, Rao quadratic entropy, community-weighted means of the functional traits) showed that charcoal enrichment had little effect on collembolan communities. Yet, there was a systematic shift in traits composition of collembolan communities towards traits adapted to life at depth in the presence of charcoal across land-uses. In cropland soils, charcoal induced minor species and abundance changes that significantly shifted the traits composition. In grassland soils, charcoal significantly decreased the taxonomic evenness of communities and host new species with more diverse functional profiles. In forest soils, charcoal was suggested to induce a species domination and a functional homogenization of collembolan communities. Our results suggest that the long-term effect of biochar on soil fauna are related to slight direct or indirect modifications of soil habitat, which hinges on land-use. Indeed, the land-use was a much stronger driver in shaping soil collembolan communities than centennial charcoal. We advocate furthering functional traits studies on the ecological and edaphic mechanisms driving Collembola long-term responses to biochar amendment.

Capability of Remote Sensing Images to Distinguish the Urban Surface Materials: A Case Study of Venice City

Many countries share an effort to understand the impact of growing urban areas on the environment. Spatial, spectral, and temporal resolutions of remote sensing images offer unique access to this information. Nevertheless, their use is limited because urban surface materials exhibit a great diversity of types and are not well spatially and spectrally distinguishable. This work aims to quantify the effect of these spatial and spectral characteristics of urban surface materials on their retrieval from images. To avoid other sources of error, synthetic images of the historical center of Venice were analyzed. A hyperspectral library, which characterizes the main materials of Venice city and knowledge of the city, allowed to create a starting image at a spatial resolution of 30 cm and spectral resolution of 3 nm and with a spectral range of 365–2500 nm, which was spatially and spectrally resampled to match the characteristics of most remote sensing sensors. Linear spectral mixture analysis was applied to every resampled image to evaluate and compare their capabilities to distinguish urban surface materials. In short, the capability depends mainly on spatial resolution, secondarily on spectral range and mixed pixel percentage, and lastly on spectral resolution; impervious surfaces are more distinguishable than pervious surfaces. This analysis of capability behavior is very important to select more suitable remote sensing images and/or to decide the complementarity use of different data.

Toward a More General Understanding of Bohr's Complementarity: Insights from Modeling of Ion Channels.

Some contemporary theorists such as Mazzocchi, Theise and Kafatos are convinced that the reformed complementarity may redefine how we might exploit the complexity theory in 21st-century life sciences research. However, the motives behind the profound re-invention of "biological complementarity" need to be substantiated with concrete shreds of evidence about this principle's applicability in real-life science experimentation, which we found missing in the literature. This paper discusses such pieces of evidence by confronting Bohr's complementarity and ion channel modeling practice. We examine whether and to what extent this principle might assist in developing ion channel models incorporating both deterministic and stochastic solutions. According to the "mutual exclusiveness of experimental setups" version of Bohr's complementarity, this principle is needed when two mutually exclusive perspectives or approaches are right, necessary in a particular context, and are not contradictory as they arise in mutually exclusive conditions (mutually exclusive experimental or modeling setups).A detailed examination of the modeling practice reveals that both solutions are often used simultaneously in a single ion channel model, suggesting that the opposite conceptual frameworks can coexist in the same modeling setup. We concluded that Bohr's complementarity might find applications in these complex modeling setups but only through its realistic phenomenological interpretation that allows applying different modes of description regardless of the nature of the underlying ion channel opening process. Also, we propose the combined use of complementarity and Complex thinking in building the multifaceted ion channel models. Overall, this paper's results support the efforts to establish a more general form of complementarity to meet today's complexity theory-inspired life sciences modeling demands.

Why should we reconsider using species richness in spatial conservation prioritization?

Species richness has been largely used for determining site conservation values, but this has not been assessed in the context of marine mammal conservation. In our study, we assessed the effectiveness of species richness as a surrogate of marine mammal species representation at the global scale and compared it to the use of complementarity as an alternative approach. We obtained 134 marine mammal distribution maps from the IUCN Red List database and used two complementarity algorithms to calculate conservation priorities. To determine the effectiveness of species richness as a surrogate, we calculated the Species Accumulation Index (SAI) scores for marine mammal groups. Our findings indicate that both complementarity approaches are consistently more effective surrogates of marine mammal species representation across all groups and grains tested. Our study strongly supports the use of complementarity as supposed to richness as the preferred method to select sites conservation values for marine mammals. To the best of our knowledge, we are the first to assess the effectiveness of richness and compare it to results obtained by the use of complementarity in global marine mammal species spatial representation.

Optimization with equality and inequality constraints using parameter continuation

We generalize the successive continuation paradigm introduced by Kernévez and Doedel [1] for locating locally optimal solutions of constrained optimization problems to the case of simultaneous equality and inequality constraints. The analysis shows that potential optima may be found at the end of a sequence of easily-initialized separate stages of continuation, without the need to seed the first stage of continuation with nonzero values for the corresponding Lagrange multipliers. A key enabler of the proposed generalization is the use of complementarity functions to define relaxed complementary conditions, followed by the use of continuation to arrive at the limit required by the Karush-Kuhn-Tucker theory. As a result, a successful search for optima is found to be possible also from an infeasible initial solution guess. The discussion shows that the proposed paradigm is compatible with the staged construction approach of the coco software package. This is evidenced by a modified form of the coco core used to produce the numerical results reported here. These illustrate the efficacy of the continuation approach in locating optimal solutions of an objective function along families of two-point boundary value problems and in optimal control problems.

A multi-analytical approach for the characterization of modern white paints used for Argentine concrete art paintings during 1940–1960

Modern art has challenged many aspects of the analytical approaches that are typically used for traditional paint characterization and ageing studies. The paint industry has changed significantly throughout the twentieth century, frequently altering its manufacturing techniques in order to achieve paints with improved appearance, application and performance for a range of diverse household, industrial and artistic uses. This has led to the appearance and use of a multitude of new binding media, pigments and additives, most of which require new analytical methods for their identification. Concrete art is the name given to a significant art movement that took place in Argentina (and other nearby countries) during the 1940s and 1950s, at the exact same time as a flourishing paint industry was utilizing many of these new products and diversifying formulas. This paper reports on some initial findings from a long-term study to develop and apply analytical methodologies on paint samples from a number of Concrete artworks, that will help to better understand art history and advance the conservation field by shedding light on these artist's painting techniques, and the ageing behavior of their materials. Specifically, samples of white paints manufactured by local paint companies in Argentina from that time period were purchased and studied with a multi-analytical approach, which will serve as a reference collection for the field. The analytical techniques used were X-ray diffraction (XRD), scanning electron microscopy with energy dispersive X-ray analysis (SEM-EDX) and gas chromatography coupled with mass spectrometry (GC/MS) with previous derivatization. Artworks samples were studied with a similar multi-analytical approach, and utilized micro-Raman spectroscopy instead of XRD, for its non-destructive application. A wide range of possible compounds was identified due to the complementarity use of analytical techniques, representing a significant first step in Argentinian modern art research.

The demise of caterpillar fungus in the Himalayan region due to climate change and overharvesting.

Demand for traditional medicine ingredients is causing species declines globally. Due to this trade, Himalayan caterpillar fungus (Ophiocordyceps sinensis) has become one of the world's most valuable biological commodities, providing a crucial source of income for hundreds of thousands of collectors. However, the resulting harvesting boom has generated widespread concern over the sustainability of its collection. We investigate whether caterpillar fungus production is decreasing-and if so, why-across its entire range. To overcome the limitations of sparse quantitative data, we use a multiple evidence base approach that makes use of complementarities between local knowledge and ecological modeling. We find that, according to collectors across four countries, caterpillar fungus production has decreased due to habitat degradation, climate change, and especially overexploitation. Our statistical models corroborate that climate change is contributing to this decline. They indicate that caterpillar fungus is more productive under colder conditions, growing in close proximity to areas likely to have permafrost. With significant warming already underway throughout much of its range, we conclude that caterpillar fungus populations have been negatively affected by a combination of overexploitation and climate change. Our results underscore that harvesting is not the sole threat to economically valuable species, and that a collapse of the caterpillar fungus system under ongoing warming and high collection pressure would have serious implications throughout the Himalayan region.

Frequency Power Sharing for Battery/Supercapacitors Hybrid Energy Storage System in Electric Vehicles

Battery/Supercapacitors combination offers superior performances for a hybrid electric energy storage system in Electric Vehicles. This paper, presents a frequency power sharing strategy to get the best use of complementarity between battery and supercapacitors. Storage devices are sized based on reduced scale specifications for the studied EV. Power and current waveform simulation results are shown for each storage device due to the use of a frequency power sharing policy. Various power split configurations are analyzed to study their effect on battery current waveforms. Optimal frequency sharing policy for the battery/SCs hybrid reducing RMS battery current is obtained. The best use of battery/SCs association provides significant improvements of Electric Vehicle performances in terms of battery lifetime and amortized cost.

Lazy Cohomology Generators Enable the Use of Complementarity for Computing Halo Current Resistive Distribution in Fusion Reactors

This paper presents a methodology to efficiently calculate the resistive distribution of halo currents in 3-D conductive structures that surround the plasma in magnetic confinement fusion devices. The domain of the problem is so complicated that two complementary formulations are used to monitor the discretization error. It turns out that thousands of cohomology generators are needed by the electric vector potential electrokinetic formulation, which would require an enormous amount of memory and computing power to retrieve them even using state-of-the-art algorithms. To solve this challenging problem, we present a novel algorithm to generate the absolute second cohomology group generators exploiting the idea of lazy cohomology generators stored as sparse vectors. The proposed algorithm allows a saving of between four and five orders of magnitude computational time.

Using Phylogenetic Diversity Measures to Set Priorities in Conservation: an Example from Southern South America

Abstract:Phylogenetic diversity measures rank areas for biodiversity conservation priorities based on information encoded in phylogenies (cladograms). The goal of these ranks for conservation is to consider as many factors as possible that provide additional taxic information, such as taxa richness, taxa distributional patterns, area endemicity, and complementarity between areas. At present there are many measures that consider phylogenetic information, including node‐based, genetic‐distance, and feature‐based measures. We devised a modified phylogenetic node‐based index that we call “taxonomic endemicity standardized weight,” which considers not only the taxonomic distinctness of the taxa that inhabit a given area but their endemicity as well. Once the standardized weight of the taxonomic endemicity identifies the area of highest priority, complementarity can be used to identify the second area and so on. We used this node‐based index to rank priority areas for conservation in southern South America, and we compared the results of our rankings to results based on other node‐based indexes. Our index identified Santiago district, in Central Chile province, as the highest priority area for conservation, followed by Maule, Malvinas, and districts of Subantarctic province. Malvinas exhibits greater complementarity relative to Santiago than Maule does, however, so Malvinas is ranked second in priority. Indexes based on phylogenetic information measure the evolutionary component of biodiversity and allow one to identify areas that will ensure the preservation of evolutionary potential and phylogenetically rare taxa. The modified index we propose is sensitive to taxic distinctness and endemicity as well and allows information from diverse taxa to be combined (i.e., different cladograms). The use of complementarity allows for preservation of the maximum quantity of taxa in a minimal number of protected areas.

Some future prospects for systematic biodiversity planning in Papua New Guinea - and for biodiversity planning in general

We describe three challenges for biodiversity planning, which arise from a study in Papua New Guinea, but apply equally to biodiversity planning in general. These are 1) the best use of available data for providing biodiversity surrogate information, 2) the integration of representativeness and persistence goals into the area prioritization process, and 3) implications for the implementation of a conservation plan over time. Each of these problems is linked to the effective use of complementarity. Further, we find that a probabilistic framework for calculating persistence-based complementarity values over time can contribute to resolving each challenge. Probabilities allow for the exploration of a range of possible complementarity values over different planning scenarios, and provide a way to evalua!e biodiversity surrogates. The integration of representativeness and persistence goals, via estimated probabilities of persistence, facilitates the crediting of partial protection provided by sympathetic management. For the selection of priority areas and land use allocation, partial protection may be a "given" or implied by an allocated land use. Such an integration also allows the incorporation of vulnerability/threat information at the level of attributes or areas, incorporating persistence values that may depend on reserve design. As an example of the use of persistence probabilities, we derive an alternative proposed priority area set for PNG. This is based on 1) a goal of 0.99 probability of persistence of all biodiversity surrogate attributes used in the study, 2) an assumption of a 0.10 probability of persistence in the absence of any form of formal protection, and 3) a 0.90 probability of persistence for surrogate attributes in proposed priority areas, assuming formal protection is afforded to them. The calculus of persistence also leads to a proposed system of environmental levies based on biodiversity complementarity values. The assigned levy for an area may change to reflect its changing complementarity value in light of changes to protection status of other areas. We also propose a number of complementarity-based options for a carbon credits framework. These address required principles of additionality and collateral benefits from biodiversity protection. A related biodiversity credits scheme, also based on complementarity, encourages investments in those areas that make greatest ongoing contributions to regional biodiversity representation and persistence. All these new methods point to a new "systematic conservation planning" that is not focused only on selecting sets of areas but utilizes complementarity values and changes in probabilities of persistence for a range of decision making processes. The cornerstone of biodiversity planning, complementarity, no longer reflects only relative amounts of biodiversity but also relative probabilities of persistence.

高温高圧鉱物物性 含水高圧相のスペクトロスコピー 地球ダイナミクスへの物理化学的アプローチ

It is worthwhile to note that hydrogen atoms sructually bound to minerals can interact with network-forming oxygen atoms in minerals through hydrogen-bonding. This suggests the significance of chemical state of hydrogen on studying the role of hydrogen to the change in physicochemical and elastic properties of materials in the mantle. IR spectroscopy provides us with much information on the chemical states of OH species contained in these H-carrying minerals. This paper reviews the advantages of IR spectroscopy to the speciation of OH in minerals, quantitative analysis of hydrogen and determination of direction of OH dipole moment in a single crystal along with the several attentions to be paid on thepractical experimantal procedures. Furthermore, speciation of OH in the olivine-wadsleyite-ringwoodite system and its potential role on mantle dynamics is mentioned in detail. It is a definite fact that IR spectroscopy is one of the most promising method to study properties of hydrogen in minerals, but a complementarity use of other methods such as neutron diffraction will be necessary for thorough understanding of hydrogen in minerals.