Countercyclical capital buffers: exploring options

This paper provides some general lessons for the design of countercyclical capital buffers. Its main empirical contribution is to analyse conditioning variables which could guide the build-up and release of capital. A major distinction for countercyclical capital schemes is whether conditioning variables are bank-specific or system-wide. The evidence presented in the paper indicates that the idiosyncratic component can be sizeable when a bank-specific approach is used. This makes a system-wide approach preferable, for which the best variables as signal for the pace and size of the accumulation of the buffers are not necessarily the best for the timing and intensity of the release. The credit-to-GDP ratio seems best for the build-up phase. Some measure of aggregate losses, possibly combined with indicators of credit conditions, seem to perform well for signalling the beginning of the release phase. Nonetheless, the analysis indicates that designing a fully rule-based mechanism may not be possible at this stage as some degree of judgment seems inevitable. A parallel exercise indicates that reducing the sensitivity of the minimum capital requirement is an important element of a credible countercyclical buffer scheme.countercyclical capital buffers, financial stability, procyclicality

Alkyl Length Effects on the DNA Transport Properties of Cu (II) and Zn(II) Metallovesicles: An In Vitro and In Vivo Study

Cationic liposomes with DNA-transportation properties have attracted considerable attention for their ability to deliver medicinal oligonucleotides to mammalian cells. Amongst these are metalloliposomes that use transition metal ions to confer the lipid molecules cationic charge and unique advantages such as redox- and ligand-exchange triggered DNA-release properties. In this study, lipophilic copper (II) and zinc (II) complexes of 1-alkyl-1,4,7-triazacyclononane were prepared to investigate their ability to bind and transfect double stranded DNA with mammalian cells in vitro and in vivo. The copper(II)-surfactant complexes Cu(TACN-C8)$_2$ (1), Cu(TACN-C10)$_2$ (2), Cu(TACN-C12)$_2$ (3), Cu(TACN-C14)$_2$ (4), Cu(TACN-C16)$_2$ (5), and Cu(TACN-C18)$_2$ (6) that comprise ligands that vary in the length of the alkyl group and the zinc (II)-surfactant complex of Zn(TACN-C12)$_2$ (7) were synthesized. The critical micelle concentration (CMC) for 1-7 was measured using fluorescence spectroscopy and an evaluation of the transfection efficiency of the complexes was assessed using the pEGFP-N1 plasmid and HEK 293-T cells. An inverse relationship between DNA transfection efficiency and CMC of the Cu(II) metallosurfactants was observed. The highest transfection efficiency of 38% was observed for Cu(TACN-C12)$_2$ corresponding to the surfactant with dodecyl alkyl chain having a CMC of 50 μM. Further, an in vivo experiment using mice models was conducted to test the Cu(TACN-C12)$_2$ (3) and Zn(TACN-C12)$_2$ (7) metallosurfactants delivering a DNA vaccine designed for protection against leishmaniasis disease and the study revealed that the Cu-lipoplex elicited the production of significantly more T cells than the Zn-lipoplex and the control group in vivo

Surgical ventricular reconstruction for ischemic cardiomyopathy-a systematic review and meta-analysis of 7,685 patients

Background: Surgical ventricular reconstruction (SVR) has been used to control adverse ventricular remodeling and improve cardiac function in ischemic cardiomyopathy. The purpose of this systematic review and meta-analysis was to collect and analyze all available evidence on the utilization and efficacy of SVR. Methods: An electronic database search was performed to identify all retrospective and prospective studies on SVR for ischemic cardiomyopathy in the English literature from 2000 through 2020. A total of 92 articles with a collective 7,685 patients undergoing SVR were included in the final analysis. Results: The mean patient age was 61 years (95% CI: 59-63) and 80% (78-82%) were male. Congestive heart failure was present in 66% (54-78%) and angina in 58% (45-70%). Concomitant coronary artery bypass grafting was undertaken in 92% (90-93%) while 21% (18-24%) underwent mitral valve repair. Pre vs. post-SVR, significant improvement was seen in left ventricular ejection fraction (LVEF) [29.9% (28.8-31.2%) vs. 40.9% (39.4-42.4%), P\u3c0.01], left ventricular end-systolic (LVESD) and end-diastolic diameters (LVEDD) [LVESD: 49.9 mm (48.1-51.7) vs. 45 mm (42.8-47.3), P\u3c0.01, LVEDD: 63.8 mm (62-65.6) vs. 58.23 mm (56.6-60), P\u3c0.01], and left ventricular end-systolic (LVESVI) and end-diastolic volume indices (LVEDVI) [LVESVI: 83.9 mL/m2 (79.3-88.4) vs. 46.8 mL/m2 (43.5-50.1), P\u3c0.01; LVEDVI: 119.9 mL/m2 (112.1-127.6) vs. 79.6 mL/m2 (73.6-85.7), P\u3c0.01]. Mean New York Heart Association class improved from 3 (2.8-3.1) to 1.8 (1.5-2) (P\u3c0.01). The 30-day mortality was 4% (3-5%) while late mortality was 19% (9-34%) at a mean follow-up of 27.5 [21-34] months. Conclusions: In patients with ischemic cardiomyopathy, SVR reduces left ventricular volumes and improves systolic function leading to symptomatic improvement

A global metagenomic map of urban microbiomes and antimicrobial resistance

We present a global atlas of 4,728 metagenomic samples from mass-transit systems in 60 cities over 3 years, representing the first systematic, worldwide catalog of the urban microbial ecosystem. This atlas provides an annotated, geospatial profile of microbial strains, functional characteristics, antimicrobial resistance (AMR) markers, and genetic elements, including 10,928 viruses, 1,302 bacteria, 2 archaea, and 838,532 CRISPR arrays not found in reference databases. We identified 4,246 known species of urban microorganisms and a consistent set of 31 species found in 97% of samples that were distinct from human commensal organisms. Profiles of AMR genes varied widely in type and density across cities. Cities showed distinct microbial taxonomic signatures that were driven by climate and geographic differences. These results constitute a high-resolution global metagenomic atlas that enables discovery of organisms and genes, highlights potential public health and forensic applications, and provides a culture-independent view of AMR burden in cities.Funding: the Tri-I Program in Computational Biology and Medicine (CBM) funded by NIH grant 1T32GM083937; GitHub; Philip Blood and the Extreme Science and Engineering Discovery Environment (XSEDE), supported by NSF grant number ACI-1548562 and NSF award number ACI-1445606; NASA (NNX14AH50G, NNX17AB26G), the NIH (R01AI151059, R25EB020393, R21AI129851, R35GM138152, U01DA053941); STARR Foundation (I13- 0052); LLS (MCL7001-18, LLS 9238-16, LLS-MCL7001-18); the NSF (1840275); the Bill and Melinda Gates Foundation (OPP1151054); the Alfred P. Sloan Foundation (G-2015-13964); Swiss National Science Foundation grant number 407540_167331; NIH award number UL1TR000457; the US Department of Energy Joint Genome Institute under contract number DE-AC02-05CH11231; the National Energy Research Scientific Computing Center, supported by the Office of Science of the US Department of Energy; Stockholm Health Authority grant SLL 20160933; the Institut Pasteur Korea; an NRF Korea grant (NRF-2014K1A4A7A01074645, 2017M3A9G6068246); the CONICYT Fondecyt Iniciación grants 11140666 and 11160905; Keio University Funds for Individual Research; funds from the Yamagata prefectural government and the city of Tsuruoka; JSPS KAKENHI grant number 20K10436; the bilateral AT-UA collaboration fund (WTZ:UA 02/2019; Ministry of Education and Science of Ukraine, UA:M/84-2019, M/126-2020); Kyiv Academic Univeristy; Ministry of Education and Science of Ukraine project numbers 0118U100290 and 0120U101734; Centro de Excelencia Severo Ochoa 2013–2017; the CERCA Programme / Generalitat de Catalunya; the CRG-Novartis-Africa mobility program 2016; research funds from National Cheng Kung University and the Ministry of Science and Technology; Taiwan (MOST grant number 106-2321-B-006-016); we thank all the volunteers who made sampling NYC possible, Minciencias (project no. 639677758300), CNPq (EDN - 309973/2015-5), the Open Research Fund of Key Laboratory of Advanced Theory and Application in Statistics and Data Science – MOE, ECNU, the Research Grants Council of Hong Kong through project 11215017, National Key RD Project of China (2018YFE0201603), and Shanghai Municipal Science and Technology Major Project (2017SHZDZX01) (L.S.