University of Macau

About: University of Macau is a education organization based out in Macao, Macau, China. It is known for research contribution in the topics: Computer science & Population. The organization has 6636 authors who have published 18324 publications receiving 327384 citations. The organization is also known as: UM & UMAC.

Stabilizing black-phase formamidinium perovskite formation at room temperature and high humidity.

Abstract: The stabilization of black-phase formamidinium lead iodide (α-FAPbI3) perovskite under various environmental conditions is considered necessary for solar cells. However, challenges remain regarding the temperature sensitivity of α-FAPbI3 and the requirements for strict humidity control in its processing. Here we report the synthesis of stable α-FAPbI3, regardless of humidity and temperature, based on a vertically aligned lead iodide thin film grown from an ionic liquid, methylamine formate. The vertically grown structure has numerous nanometer-scale ion channels that facilitate the permeation of formamidinium iodide into the lead iodide thin films for fast and robust transformation to α-FAPbI3 A solar cell with a power-conversion efficiency of 24.1% was achieved. The unencapsulated cells retain 80 and 90% of their initial efficiencies for 500 hours at 85°C and continuous light stress, respectively.

ADMETlab: a platform for systematic ADMET evaluation based on a comprehensively collected ADMET database

Abstract: Current pharmaceutical research and development (R&D) is a high-risk investment which is usually faced with some unexpected even disastrous failures in different stages of drug discovery. One main reason for R&D failures is the efficacy and safety deficiencies which are related largely to absorption, distribution, metabolism and excretion (ADME) properties and various toxicities (T). Therefore, rapid ADMET evaluation is urgently needed to minimize failures in the drug discovery process. Here, we developed a web-based platform called ADMETlab for systematic ADMET evaluation of chemicals based on a comprehensively collected ADMET database consisting of 288,967 entries. Four function modules in the platform enable users to conveniently perform six types of drug-likeness analysis (five rules and one prediction model), 31 ADMET endpoints prediction (basic property: 3, absorption: 6, distribution: 3, metabolism: 10, elimination: 2, toxicity: 7), systematic evaluation and database/similarity searching. We believe that this web platform will hopefully facilitate the drug discovery process by enabling early drug-likeness evaluation, rapid ADMET virtual screening or filtering and prioritization of chemical structures. The ADMETlab web platform is designed based on the Django framework in Python, and is freely accessible at http://admet.scbdd.com/ .

The Link between Dividend Policy and Institutional Ownership

Abstract: This paper examines the relatively neglected link between dividend policy and institutional ownership. It is also the first example of using well-established dividend payout models to examine the potential association between ownership structures and dividend policy. Moreover, the paper presents the first results for the UK, where the institutional framework and ownership structures are different from those of the US.Using a UK panel data set, the role of institutional ownership in association to dividend payout ratios is analysed within the context of the dividend models of Lintner [American Economic Review, 46 (1956) 97], Waud [Journal of the American Statistical Association, 1996] and Fama and Babiak [Journal of the American Statistical Association, 63 (1968) 1132]. The results consistently produce strong support for the hypothesis that a positive association exists between dividend payout policy and institutional ownership. Furthermore, the results for an earnings trend model suggest a positive earnings trend component to the association between institutional ownership and the dividend payout ratio. In addition, there is some evidence in support of the hypothesis that a negative association exists between dividend payout policy and managerial ownership.