Intraday REIT Liquidity

Real Estate Investment Trusts (REITs) may be classified as a real estate investment or more generally as an equity investment. While REITs are more liquid than direct real estate investments, the liquidity relationship between REITs and common stocks is less clear-cut. This study measures and analyzes the liquidity differences between REITs and other common stocks. The intraday variations documented in this study have implications for: 1) the appropriate timing of trades to minimize transaction costs and, 2) the substitutability of investments if illiquidity is priced. Our results reveal intraday patterns indicating lower liquidity for REITs than for common stocks when the liquidity measure is friction-based. In contrast, activity measures exhibit higher liquidity levels for REITs than for common stocks but this difference is only statistically significant at the beginning of the trading day. Finally, from an economic perspective we find that the ability to trade without influencing prices is 15-25% greater for non-REITS compared to REITs, and the price of immediacy is 7% higher for REITs.

La Mortalite Infanto-Juvenile A Bouafle : Contribution A L’analyse Des Conditions De Vie Dans Une Ville Ivoirienne

The dynamics of Bouaflé, an urban locality in the center-west of Côte d'Ivoire, faces a double challenge. On the one hand, the plight related to the mortality of the under-five stands out as a threat to their future. On the other hand, owing to lack of drinking water in the city as well as harmful effects of polluting activities on the local environment, environmental pathologies affect the urban space. From available documents on this city supplemented by field surveys, this study showcases an inventory of the determining factors of infant and child mortality in Bouaflé and highlights the limitations of local governance in the quest for a sustainable development for the capital city of the Marahoué

Spectroscopic and redox properties of amine-unctionalized K_2[Os-^(II)(bpy)(CN)_4] complexes

We report the first examples of amine-functionalized K_2[Os^(II)(bpy)(CN)_4] (bpy = 2,2'-bipyridine) complexes. The tetracyanoosmate complexes were prepared by UV irradiation (λ = 254 nm) of K_4[Os^(II)(CN)_6] and primary amine-functionalized bpy ligands in acidic aqueous media. The aqueous solution pH dependences of the spectroscopic and redox properties of 4,4'- and 5,5'-substituted complexes have been investigated. The pendant amine functional groups and coordinated cyanide ligands are basic sites that can be sequentially protonated, thereby allowing systematic tuning of electrochemical and optical spectroscopic properties

Causal machine learning for single-cell genomics

Advances in single-cell omics allow for unprecedented insights into the transcription profiles of individual cells. When combined with large-scale perturbation screens, through which specific biological mechanisms can be targeted, these technologies allow for measuring the effect of targeted perturbations on the whole transcriptome. These advances provide an opportunity to better understand the causative role of genes in complex biological processes such as gene regulation, disease progression or cellular development. However, the high-dimensional nature of the data, coupled with the intricate complexity of biological systems renders this task nontrivial. Within the machine learning community, there has been a recent increase of interest in causality, with a focus on adapting established causal techniques and algorithms to handle high-dimensional data. In this perspective, we delineate the application of these methodologies within the realm of single-cell genomics and their challenges. We first present the model that underlies most of current causal approaches to single-cell biology and discuss and challenge the assumptions it entails from the biological point of view. We then identify open problems in the application of causal approaches to single-cell data: generalising to unseen environments, learning interpretable models, and learning causal models of dynamics. For each problem, we discuss how various research directions - including the development of computational approaches and the adaptation of experimental protocols - may offer ways forward, or on the contrary pose some difficulties. With the advent of single cell atlases and increasing perturbation data, we expect causal models to become a crucial tool for informed experimental design.Comment: 35 pages, 7 figures, 3 tables, 1 bo

Huile Moteur Usée : Une Source D’énergie Calorifique A Haute Valeur Ajoutée Pour La Fusion De L’acier. Etude, Modélisation Et Conception D’un Four Rotatif Pour Application Dans La Micro-Sidérurgie

Durant ces dernières années, le recyclage est devenu une tendance incontournable dans le domaine industriel. Contraints par la situation actuelle de l’environnement et poussés par l’épuisement des ressources, les industriels se trouvent dans l’obligation d’exploiter au préalable les éléments qui sont à leur disposition afin de produire de nouvelles valeurs pour le développement. Dans ce contexte, la réutilisation des huiles moteurs usées demeurent un domaine encore inexploré et prometteur pour des travaux de recherche.En effet, ces huiles moteurs usées peuvent être réutilisées comme une source considérable d’énergie calorifique pouvant aboutir à la fusion de l’acier par le biais d’un four rotatif, un équipement chargé de les brûler. Un modèle approprié de cet équipement y sera développé. L’étude économique permettant de mettre en place un micro-sidérurgie demande un investissement initial de 222.800.000 Ar avec non seulement un ratio de valeur ajouté et de rentabilité financière respectivement très élevé de 0,71 et de 0,35 mais aussi un taux de marge sur coût variable est élevé de 0,32.

New Micropeptins with Anti-Neuroinflammatory Activity Isolated from a Cyanobacterial Bloom

Metabolite mining of environmentally collected aquatic and marine microbiomes offers a platform for the discovery of new therapeutic lead molecules. Combining a prefractionated chromatography library with liquid chromatography tandem mass spectrometry (LC-MS/MS)-based molecular networking and biological assays, we isolated and characterized two new micropeptins (1 and 2) along with the previously characterized micropeptin 996. These metabolites showed potency in anti-neuroinflammatory assays using BV-2 mouse microglial cells, showing a 50% reduction in inflammation in a range from 1 to 10 μM. These results show promise for cyanobacterial peptides in the therapeutic realm apart from their impact on environmental health and provide another example of the utility of large prefractionated natural product libraries for therapeutic hit and lead identification