Does Bargaining Matter in the Small Firm’s Matching Model?

In this article, we use a stylized model of the labor market to investigate the effects of three alternative and well-known bargaining solutions. We apply the Nash, the Egalitarian and the Kalai-Smorodinsky bargaining solutions in the small firm’s matching model of unemployment. We first show that the Egalitarian and the Kalai-Smorodinsky solutions are easily implementable within search-matching economies. Second, we show that the differences between the three solution are weaker than expected. This contrasts with some of the main results obtained by the recent literature.appariement, négociations, jeux coopératifs.

Does Bargaining Matter in the Small Firm Matching Model?

In this article, we use a stylized model of the labor market to investigate the effects of three alternative and well-known bargaining solutions. We apply the Nash, the Egalitarian and the Kalai-Smorodinsky bargaining solutions in the small firm’s matching model of unemployment. To the best of our knowledge, this is the first attempt that has been made to implement and systematically compare these solutions in search-matching economies. Our results are twofold. First from the theoretical/methodological viewpoint, we extend a somewhat flexible search-matching economy to alternative bargaining solutions. In particular, we prove that the Egalitarian and the Kalai-Smorodinsky solutions are easily implementable and mathematically tractable within search-matching economies. Second, our results show that even though the traditional results of bargaining theory apply in this context, they are generally qualitatively different and quantitatively weaker than expected. This is of particular relevance in comparison with the results established in the earlier literature.search and matching models, bargaining theory, Nash, Egalitarian, Kalai-Smorodinsky

Does bargaining matter in the small firm's matching Mmodel?

In this article, the authors use a stylized model of the labor market to investigate the effects of three alternative and well-known bargaining solutions. They apply the Nash, the Egalitarian and the Kalai-Smorodinsky bargaining solutions in the small firm’s matching model of unemployment. To the best of their knowledge, this is the first attempt that has been made to implement and systematically compare these solutions in search matching economies. Their results are twofold. First from the theoretical/methodological viewpoint, they extend a somewhat flexible search matching economy to alternative bargaining solutions. In particular, they prove that the Egalitarian and the Kalai -Smorodinsky solutions are easily implementable and mathematically tractable within search-matching economies. Second, their results show that even though the traditional results of bargaining theory apply in this context, they are generally qualitatively different and quantitatively weaker than expected. This is of particular relevance in comparison with the results established in the earlier literature.Search and matching models; Bargaining theory; Nash; Egalitarian; Kalai-Smorodinsky

Infants rapidly detect human faces in complex naturalistic visual scenes

Infants respond preferentially to faces and face‐like stimuli from birth, but past research has typically presented faces in isolation or amongst an artificial array of competing objects. In the current study infants aged 3‐ to 12‐months viewed a series of complex visual scenes; half of the scenes contained a person, the other half did not. Infants rapidly detected and oriented to faces in scenes even when they were not visually salient. Although a clear developmental improvement was observed in face detection and interest, all infants displayed sensitivity to the presence of a person in a scene, by displaying eye movements that differed quantifiably across a range of measures when viewing scenes that either did or did not contain a person. We argue that infant's face detection capabilities are ostensibly ‘better’ with naturalistic stimuli and artificial array presentations used in previous studies have underestimated performance

Global biodiversity patterns of marine forests of brown macroalgae

Aim Marine forests of brown macroalgae create essential habitats for coastal species and support invaluable ecological services. Here, we provide the first global analysis of species richness and endemicity of both the kelp and fucoid biomes. Location Global. Time period Contemporary. Major taxa studied Marine forests of brown macroalgae, formed by kelp (here defined as orders Laminariales, Tilopteridales and Desmarestiales) and fucoid (order Fucales), inhabiting subtidal and intertidal environments. Methods We coupled a large dataset of macroalgal observations (420 species, 1.01 million records) with a high-resolution dataset of relevant environmental predictors (i.e., light, temperature, salinity, nitrate, wave energy and ice coverage) to develop stacked species distribution models (stacked SDMs) and yield estimates of global species richness and endemicity. Results Temperature and light were the main predictors shaping the distribution of subtidal species, whereas wave energy, temperature and salinity were the main predictors of intertidal species. The highest regional species richness for kelp was found in the north-east Pacific (maximum 32 species) and for fucoids in south-east Australia (maximum 53 species), supporting the hypothesis that these regions were the evolutionary sources of global colonization by brown macroalgae. Locations with low species richness coincided between kelp and fucoid, occurring mainly at higher latitudes (e.g., Siberia) and the Baltic Sea, where extensive ice coverage and low-salinity regimes prevail. Regions of high endemism for both groups were identified in the Galapagos Islands, Antarctica, South Africa and East Russia. Main conclusions We estimated the main environmental drivers and limits shaping the distribution of marine forests of brown macroalgae and mapped biogeographical centres of species richness and endemicity, which largely coincided with the expectation from previous evolutionary hypotheses. The mapped biodiversity patterns can serve as new baselines for planning and prioritizing locations for conservation, management and climate change mitigation strategies, flagging threatened marine forest regions under different climate change scenarios.info:eu-repo/semantics/submittedVersio

Global biodiversity patterns of marine forests of brown macroalgae

Author's accepted version (postprint).This is an Accepted Manuscript of an article published by Wiley in Global Ecology and Biogeography on 17/01/2022.Available online: https://onlinelibrary.wiley.com/doi/10.1111/geb.13450acceptedVersio

Benchmarking of local feature detectors and descriptors for multispectral relative navigation in space

Optical-based navigation for space is a field growing in popularity due to the appeal of efficient techniques such as Visual Simultaneous Localisation and Mapping (VSLAM), which rely on automatic feature tracking with low-cost hardware. However, low-level image processing algorithms have traditionally been measured and tested for ground-based exploration scenarios. This paper aims to fill the gap in the literature by analysing state-of-the-art local feature detectors and descriptors with a taylor-made synthetic dataset emulating a Non-Cooperative Rendezvous (NCRV) with a complex spacecraft, featuring variations in illumination, rotation, and scale. Furthermore, the performance of the algorithms on the Long Wavelength Infrared (LWIR) is investigated as a possible solution to the challenges inherent to on-orbit imaging in the visible, such as diffuse light scattering and eclipse conditions. The Harris, GFTT, DoG, Fast-Hessian, FAST, CenSurE detectors and the SIFT, SURF, LIOP, ORB, BRISK, FREAK descriptors are benchmarked for images of Envisat. It was found that a combination of Fast-Hessian with BRISK was the most robust, while still capable of running on a low resolution and acquisition rate setup. For large baselines, the rate of false-positives increases, limiting their use in model-based strategies

Phase-Space Volume of Regions of Trapped Motion: Multiple Ring Components and Arcs

The phase--space volume of regions of regular or trapped motion, for bounded or scattering systems with two degrees of freedom respectively, displays universal properties. In particular, sudden reductions in the phase-space volume or gaps are observed at specific values of the parameter which tunes the dynamics; these locations are approximated by the stability resonances. The latter are defined by a resonant condition on the stability exponents of a central linearly stable periodic orbit. We show that, for more than two degrees of freedom, these resonances can be excited opening up gaps, which effectively separate and reduce the regions of trapped motion in phase space. Using the scattering approach to narrow rings and a billiard system as example, we demonstrate that this mechanism yields rings with two or more components. Arcs are also obtained, specifically when an additional (mean-motion) resonance condition is met. We obtain a complete representation of the phase-space volume occupied by the regions of trapped motion.Comment: 19 pages, 17 figure

Requerimientos y eficiencia energética de ovejas Pelibuey y Katahdin no gestantes, no lactantes en Yucatán, México

Objetivo. Estimar los requerimientos de energía metabolizable para el mantenimiento (MEm), le eficiencia energética del incremento de peso (EEWG) y el grosor de grasa, en ovejas Pelibuey y Katahdin en Yucatán, México. Materiales y método. Ocho ovejas multíparas no gestantes, no lactantes, fueron alimentadas a tres niveles de consumo con una dieta que contenía 2.0 Mcal/kg-1 de EM y 11% de PC. El consumo de alimento fue medido diariamente, el peso de ovejas y el grosor de grasa subcutánea (SF) se determinó cada 14 días. La MEm fue estimada por regresión de los valores de peso vivo contra el consumo de EM (MEI), la EEWG fue estimada como los gramos de ganancia de peso por Mcal de MEI. Resultados. No existieron diferencias entre razas en EMm (97±4 y 110±4 kcal/Kg0.75, para Pelibuey y Katahdin respectivamente) y EEWG (58±8 y 63±8 g/Mcal de MEI, para Pelibuey y Katahdin respectivamente); se encontraron diferencias en SF (6.1±0.2 y 4.9±0.2 mm, para Pelibuey y Katahdin respectivamente). Conclusiones. Los requerimientos de energía para mantenimiento fueron similares en las ovejas Pelibuey y Katahdin en Yucatán, México.

De <i>novo </i>transcriptomes of 14 gammarid individuals for proteogenomic analysis of seven taxonomic groups

Gammarids are amphipods found worldwide distributed in fresh and marine waters. They play an important role in aquatic ecosystems and are well established sentinel species in ecotoxicology. In this study, we sequenced the transcriptomes of a male individual and a female individual for seven different taxonomic groups belonging to the two genera Gammarus and Echinogammarus: Gammarus fossarum A, G. fossarum B, G. fossarum C, Gammarus wautieri, Gammarus pulex, Echinogammarus berilloni, and Echinogammarus marinus. These taxa were chosen to explore the molecular diversity of transcribed genes of genotyped individuals from these groups. Transcriptomes were de novo assembled and annotated. High-quality assembly was confirmed by BUSCO comparison against the Arthropod dataset. The 14 RNA-Seq-derived protein sequence databases proposed here will be a significant resource for proteogenomics studies of these ecotoxicologically relevant non-model organisms. These transcriptomes represent reliable reference sequences for whole-transcriptome and proteome studies on other gammarids, for primer design to clone specific genes or monitor their specific expression, and for analyses of molecular differences between gammarid species