Semi-synthetic zigzag optical lattice for ultracold bosons

We consider a one-dimensional "zigzag" lattice, pictured as a two-site wide single strip taken from a triangular lattice, affected by a tunable homogeneous magnetic flux piercing its triangular plaquettes. We focus on a semi-synthetic lattice produced by combining a one-dimensional spin-dependent lattice in the long direction with laser-induced transitions between atomic internal states that define the short synthetic dimension. In contrast to previous studies on semi-synthetic lattices, the atom-atom interactions are nonlocal in both lattice directions. We investigate the ground-state properties of the system for the case of strongly interacting bosons, and find that the interplay between the frustration induced by the magnetic field and the interactions gives rise to an exotic gapped phase at fractional filling factors corresponding to one particle per magnetic unit cell.Comment: 9 pages, 6 figures; v3: final version to appear in PR

Un San Antonio de Padua con el Niño inédito de Sebastián Martínez Domedel en el museo del Monasterio de Poblet.

La creación de nuevos espacios expositivos de las ins-tituciones museísticas o la mejora de sus instalaciones suponen una gran oportunidad para la realización de nuevos estudios de los inventarios y los catálogos de sus fondos artísticos. Así, las actividades de revisión y actualización de su información suelen arrojar nueva luz e interesantes novedades como la asignación de nuevas atribuciones sobre obras que hasta la fecha estaban catalogadas como anónimas. Gracias a la rea-lización de estos trabajos, se ha ampliado el conoci-miento en torno al lienzo de San Antonio de Padua con el Niño del museo del Real Monasterio de Poblet (Tarragona) al relacionar su autoría con el pintor Sebastián Martínez Domedel. Se trata por tanto de la presentación de una obra inédita que se incorpora al catálogo de este artista del siglo XVII.The creation of new exhibition spaces and the improvement of museum facilities represents a great opportunity for the realization of new studies regarding their art inventories and catalogs. In this way, the review and updating of existing information sheds new light on the works, including interesting developments such as the designation of works which until now were cataloged as anonymous. Thanks to the completion of these projects, knowledge surrounding the canvas Saint Anthony of Padua with the Childin the Real Monastery of Poblet Museum (Tarragona) has been extended, attributing its authorship to the painter Sebastián Martínez Domedel. Presented here is an unpublished work that is included in this XVII century artist¿s catalog.Universidad Pablo de Olavid

Production and Use of Ceramics in the First Millennium BC: Jebel Moya, Sudan

The site of Jebel Moya, situated in the center of the southern Gezira Plain in southcentral Sudan, has an occupational sequence spanning at least five millennia until around 2000 years ago. Renewed excavation is shedding new light on its occupational chronology and socioeconomic history, including activities such as burial, savanna herding, and domesticated sorghum cultivation practices dating to at least the mid-third millennium BC. In the present study, predominantly final phase pottery sherds from the first millennium BC to the start of the first millennium AD (Assemblage 3) have been analyzed via a combination of thin section petrography and instrumental geochemistry to determine their raw materials and place of manufacture and reconstruct their manufacturing technology. Organic residue analysis was also conducted to identify the products processed within vessels found at the site. The results suggest the existence of a well-developed local ceramic craft tradition that persisted for over one thousand years. Pots from Assemblage 3 were used to process, store, and consume animal and plant products, thus reinforcing emerging evidence for early agro-pastoral activities

Evaluation of positive mental health and sense of coherence in mental health professionals

Background: the Sense of Coherence (SOC) of Antonowsky (1996) which is based on salutogenic theory and the multifactor Positive Mental Health (PMH) model of Lluch (1999) provide two constructs for comprehending, evaluating, and intervening in the promotion and maintenance of a good state of mental health. Aim: were assessed self-rated mental health of health professionals working in mental health services and relations between both constructs and sociodemographic, work, and health variables. Methods: the sample was made up of n=102 attending professionals at the mental health units of the Parc Hospitalari Martí i Julià, in Salt, Girona. The variables studied were sociodemographic work-related, health-related, and self-perception of mental health, evaluated by means of the Sense of Coherence questionnaire and the Positive Mental Health questionnaire. The questionnaires were self-administered. Results: overall, the sample studied scored high in the Sense of Coherence and the Positive Mental Health questionnaires. In terms of the relation between the overall scores of the SOC questionnaire and the PMH, analysis revealed a positive relation between the two. Conclusions: this positive relation between the two questionnaires may be of particular interest in future studies of the multifactor model of Positive Mental Health and the salutogenic model that underlies the Sense of Coherence, by generating a global conceptual framework for the study of mental health from a positive perspective

Skeletal muscle hypertrophy rewires glucose metabolism: an experimental investigation and systematic review

BACKGROUND: Proliferating cancer cells shift their metabolism towards glycolysis, even in the presence of oxygen, to especially generate glycolytic intermediates as substrates for anabolic reactions. We hypothesize that a similar metabolic remodelling occurs during skeletal muscle hypertrophy. METHODS: We used mass spectrometry in hypertrophying C2C12 myotubes in vitro and plantaris mouse muscle in vivo and assessed metabolomic changes and the incorporation of the [U-13C6]glucose tracer. We performed enzyme inhibition of the key serine synthesis pathway enzyme phosphoglycerate dehydrogenase (Phgdh) for further mechanistic analysis and conducted a systematic review to align any changes in metabolomics during muscle growth with published findings. Finally, the UK Biobank was used to link the findings to population level. RESULTS: The metabolomics analysis in myotubes revealed insulin-like growth factor-1 (IGF-1)-induced altered metabolite concentrations in anabolic pathways such as pentose phosphate (ribose-5-phosphate/ribulose-5-phosphate: +40%; P = 0.01) and serine synthesis pathway (serine: -36.8%; P = 0.009). Like the hypertrophy stimulation with IGF-1 in myotubes in vitro, the concentration of the dipeptide l-carnosine was decreased by 26.6% (P = 0.001) during skeletal muscle growth in vivo. However, phosphorylated sugar (glucose-6-phosphate, fructose-6-phosphate or glucose-1-phosphate) decreased by 32.2% (P = 0.004) in the overloaded muscle in vivo while increasing in the IGF-1-stimulated myotubes in vitro. The systematic review revealed that 10 metabolites linked to muscle hypertrophy were directly associated with glycolysis and its interconnected anabolic pathways. We demonstrated that labelled carbon from [U-13C6]glucose is increasingly incorporated by ~13% (P = 0.001) into the non-essential amino acids in hypertrophying myotubes, which is accompanied by an increased depletion of media serine (P = 0.006). The inhibition of Phgdh suppressed muscle protein synthesis in growing myotubes by 58.1% (P < 0.001), highlighting the importance of the serine synthesis pathway for maintaining muscle size. Utilizing data from the UK Biobank (n = 450 243), we then discerned genetic variations linked to the serine synthesis pathway (PHGDH and PSPH) and to its downstream enzyme (SHMT1), revealing their association with appendicular lean mass in humans (P < 5.0e-8). CONCLUSIONS: Understanding the mechanisms that regulate skeletal muscle mass will help in developing effective treatments for muscle weakness. Our results provide evidence for the metabolic rewiring of glycolytic intermediates into anabolic pathways during muscle growth, such as in serine synthesis

Security threats in network coding-enabled mobile small cells

The recent explosive growth of mobile data traffic, the continuously growing demand for higher data rates, and the steadily increasing pressure for higher mobility have led to the fifth-generation mobile networks. To this end, network-coding (NC)-enabled mobile small cells are considered as a promising 5G technology to cover the urban landscape by being set up on-demand at any place, and at any time on any device. In particular, this emerging paradigm has the potential to provide significant benefits to mobile networks as it can decrease packet transmission in wireless multicast, provide network capacity improvement, and achieve robustness to packet losses with low energy consumption. However, despite these significant advantages, NC-enabled mobile small cells are vulnerable to various types of attacks due to the inherent vulnerabilities of NC. Therefore, in this paper, we provide a categorization of potential security attacks in NC-enabled mobile small cells. Particularly, our focus is on the identification and categorization of the main potential security attacks on a scenario architecture of the ongoing EU funded H2020-MSCA project “SECRET” being focused on secure network coding-enabled mobile small cells

CrowdHEALTH: Holistic Health Records and Big Data Analytics for Health Policy Making and Personalized Health.

Today's rich digital information environment is characterized by the multitude of data sources providing information that has not yet reached its full potential in eHealth. The aim of the presented approach, namely CrowdHEALTH, is to introduce a new paradigm of Holistic Health Records (HHRs) that include all health determinants. HHRs are transformed into HHRs clusters capturing the clinical, social and human context of population segments and as a result collective knowledge for different factors. The proposed approach also seamlessly integrates big data technologies across the complete data path, providing of Data as a Service (DaaS) to the health ecosystem stakeholders, as well as to policy makers towards a "health in all policies" approach. Cross-domain co-creation of policies is feasible through a rich toolkit, being provided on top of the DaaS, incorporating mechanisms for causal and risk analysis, and for the compilation of predictions

The CrowdHEALTH project and the Hollistic Health Records: Collective Wisdom Driving Public Health Policies.

Introduction: With the expansion of available Information and Communication Technology (ICT) services, a plethora of data sources provide structured and unstructured data used to detect certain health conditions or indicators of disease. Data is spread across various settings, stored and managed in different systems. Due to the lack of technology interoperability and the large amounts of health-related data, data exploitation has not reached its full potential yet. Aim: The aim of the CrowdHEALTH approach, is to introduce a new paradigm of Holistic Health Records (HHRs) that include all health determinants defining health status by using big data management mechanisms. Methods: HHRs are transformed into HHRs clusters capturing the clinical, social and human context with the aim to benefit from the collective knowledge. The presented approach integrates big data technologies, providing Data as a Service (DaaS) to healthcare professionals and policy makers towards a "health in all policies" approach. A toolkit, on top of the DaaS, providing mechanisms for causal and risk analysis, and for the compilation of predictions is developed. Results: CrowdHEALTH platform is based on three main pillars: Data & structures, Health analytics, and Policies. Conclusions: A holistic approach for capturing all health determinants in the proposed HHRs, while creating clusters of them to exploit collective knowledge with the aim of the provision of insight for different population segments according to different factors (e.g. location, occupation, medication status, emerging risks, etc) was presented. The aforementioned approach is under evaluation through different scenarios with heterogeneous data from multiple sources