The endolysosomal adaptor PLEKHM1 is a direct target for both mTOR and MAPK pathways

The lysosome is a cellular signalling hub at the point of convergence of endocytic and autophagic pathways, where the contents are degraded and recycled. Pleckstrin homology domain-containing family member 1 (PLEKHM1) acts as an adaptor to facilitate the fusion of endocytic and autophagic vesicles with the lysosome. However, it is unclear how PLEKHM1 function at the lysosome is controlled. Herein, we show that PLEKHM1 co-precipitates with, and is directly phosphorylated by, mTOR. Using a phospho-specific antibody against Ser432/S435 of PLEKHM1, we show that the same motif is a direct target for ERK2-mediated phosphorylation in a growth factor-dependent manner. This dual regulation of PLEKHM1 at a highly conserved region points to a convergence of both growth factor- and amino acid-sensing pathways, placing PLEKHM1 at a critical juncture of cellular metabolism

PRIMENA NANOČESTICA SEPIOLITA ZA DOBIJANJE PAPIRA POBOLJŠANIH MEHANIČKIH SVOJSTAVA

Tehničko rešenje koje se odnosi na primenu nanočestičnog sepiolita za poboljšanje mehaničkih svojstava papira proizvedenog u Fabrici Hartije Beograd je uspešno realizovano kroz laboratorijska ispitivanja i industrijsku probu. U laboratorijskim uslovima praćenjem promene viskoznosti disperzija skroba sa različitim udelom sepiolita utvrđeno je da dodatak sepiolita menja prirodu disperzije od dilatantnog, preko njutnovskog do pseudoplastičnog fluida. Skenirajuća elektronska mikroskopija je pokazala da su sepiolitska nanovlakna homogeno dispergovana na površini papira. Prisustvo sepiolita je uticalo na povećanje gramature papira. Ispitivanjem mehaničkih svojstava uzoraka papira utvrđeno je da se sa povećanjem sadržaja sepiolita u disperziji skroba povećava vrednosti otpornosti na pucanje i otpornosti na pritisak. U industrijskim uslovima takođe dolazi do poboljšanja mehaničkih svojstava papira što otvara mogućnost primene nanočestičnog sepiolita u proizvodnji ambalažnog papira u Fabrici Hartije Beograd.Tehničko rešenj

The MAORY ICS software architecture

The Multi Conjugate Adaptive Optics RelaY (MAORY) for ESO's Extremely Large Telescope (ELT) is an adaptive optics module offering multi-conjugate (MCAO) and single-conjugate (SCAO) compensation modes. In MCAO, it relies on the use of up to six Laser Guide Stars (LGS) and three Natural Guide Stars (NGS) for atmospheric turbulence sensing and multiple mirrors for correction, providing high Strehl and high sky coverage. In SCAO mode, a single natural source is used as reference, providing better correction but in a smaller field. MAORY will be installed at the Nasmyth focus of the ELT. It will feed the MICADO first-light diffraction limited imager and a future second instrument. MAORY is being built by a Consortium composed by INAF in Italy and IPAG in France and is currently approaching end of phase B. In this paper we describe the preliminary design of the MAORY Instrument Control System Software (ICS SW). We start with an overview of the MAORY module and then describe the general architecture of the MAORY control network and software. We then describe the main software components, with particular emphasis to those managing the NGS and LGS wavefront sensors functions and the AO off-load and secondary loops, and the main interfaces to subsystems and external systems. We then conclude with a description of the software engineering practices adopted for the development of MAORY ICS SW

Associations of Maternal Educational Level, Proximity to Green Space During Pregnancy, and Gestational Diabetes With Body Mass Index From Infancy to Early Adulthood:A Proof-of-Concept Federated Analysis in 18 Birth Cohorts

International sharing of cohort data for research is important and challenging. We explored the feasibility of multicohort federated analyses by examining associations between 3 pregnancy exposures (maternal education, exposure to green vegetation, and gestational diabetes) and offspring body mass index (BMI) from infancy to age 17 years. We used data from 18 cohorts (n = 206,180 mother-child pairs) from the EU Child Cohort Network and derived BMI at ages 0-1, 2-3, 4-7, 8-13, and 14-17 years. Associations were estimated using linear regression via 1-stage individual participant data meta-analysis using DataSHIELD. Associations between lower maternal education and higher child BMI emerged from age 4 and increased with age (difference in BMI z score comparing low with high education, at age 2-3 years = 0.03 (95% confidence interval (CI): 0.00, 0.05), at 4-7 years = 0.16 (95% CI: 0.14, 0.17), and at 8-13 years = 0.24 (95% CI: 0.22, 0.26)). Gestational diabetes was positively associated with BMI from age 8 years (BMI z score difference = 0.18, 95% CI: 0.12, 0.25) but not at younger ages; however, associations attenuated towards the null when restricted to cohorts that measured gestational diabetes via universal screening. Exposure to green vegetation was weakly associated with higher BMI up to age 1 year but not at older ages. Opportunities of cross-cohort federated analyses are discussed.</p