Massive MIMO goes Sub-GHz: Implementation and Experimental Exploration for LPWANs

Low-Power Wide-Area Networks operating in the unlicensed bands are being deployed to connect a rapidly growing number of Internet-of-Things devices. While the unlicensed sub-GHz band offers favorable propagation for long-range connections, measurements show that the energy consumption of the nodes is still mostly dominated by the wireless transmission affecting their autonomy. We investigate the potential benefits of deploying massive MIMO technology to increase system reliability and at the same time support low-energy devices with good coverage at sub-GHz frequencies. The impact of different antenna configurations and propagation conditions is analyzed. Both actual average experienced array gain and channel hardening are examined. The assessment demonstrates the effect of channel hardening as well as the potential benefits of the experienced array gain. These measurements serve as a first assessment of the channel conditions of massive MIMO at sub-GHz frequencies and are, to the best of our knowledge, the first of its kind

Efecto antimicrobiano del aceite esencial de orégano (Origanum vulgare) frente a Staphylococcus aureus en carne de pollo

The aim of this study was to evaluate the antimicrobial activity of essential oil of oregano (Origanum vulgare) against Staphylococcus aureus ATCC 25923 in chicken meat. The Minimum Inhibitory Concentration (MIC) was determined by the microdilution method in wells and the Minimum Bactericidal Concentration (MBC) to determine the survival of bacteria exposed to different concentrations of essential oil. In addition, the ability of oregano essential oil to inhibit the growth of S. aureus in chicken fillets was evaluated. A MIC of 0.5% and a CMB of 4% were obtained. Concentrations ≥1% of oregano essential oil significantly (p<0.05) reduced S. aureus counts in chicken meat at levels directly related to the applied concentration. The results showed that oregano oil has an antimicrobial effect against S. aureus ATCC 25923.El objetivo del estudio fue evaluar la actividad antimicrobiana del aceite esencial de orégano (Origanum vulgare) frente a Staphylococcus aureus ATCC 25923 en carne de pollo. Se determinó la concentración mínima inhibitoria (CMI) mediante el método de microdilución en pocillos y la concentración mínima bactericida (CMB) para determinar la supervivencia de las bacterias expuestas a diferentes concentraciones del aceite esencial. Además, se evaluó la capacidad del aceite esencial de orégano de inhibir el crecimiento de S. aureus en filetes de pollo. Se obtuvo una CMI de 0.5% y una CMB de 4%. Las concentraciones ≥1% de aceite esencial de orégano redujeron significativamente (p<0.05) los recuentos de S. aureus en la carne de pollo, en niveles relacionados directamente con la concentración aplicada. Los resultados demostraron que el aceite de orégano posee un efecto antimicrobiano contra S. aureus ATCC 25923

Repurposing of tamoxifen ameliorates CLN3 and CLN7 disease phenotype

Batten diseases (BDs) are a group of lysosomal storage disorders characterized by seizure, visual loss, and cognitive and motor deterioration. We discovered increased levels of globotriaosylceramide (Gb3) in cellular and murine models of CLN3 and CLN7 diseases and used fluorescent-conjugated bacterial toxins to label Gb3 to develop a cell-based high content imaging (HCI) screening assay for the repurposing of FDA-approved compounds able to reduce this accumulation within BD cells. We found that tamoxifen reduced the lysosomal accumulation of Gb3 in CLN3 and CLN7 cell models, including neuronal progenitor cells (NPCs) from CLN7 patient-derived induced pluripotent stem cells (iPSC). Here, tamoxifen exerts its action through a mechanism that involves activation of the transcription factor EB (TFEB), a master gene of lysosomal function and autophagy. In vivo administration of tamoxifen to the CLN7Δex2 mouse model reduced the accumulation of Gb3 and SCMAS, decreased neuroinflammation, and improved motor coordination. These data strongly suggest that tamoxifen may be a suitable drug to treat some types of Batten disease.This work was funded by the European Union’s Horizon 2020 research and innovation programme (BATCure, grant No. 666918 to DLM, JPB, SEM, TB and SS). JPB is funded by the Agencia Estatal de Investigación (PID2019-105699RB-I00/ AEI / 10.13039/501100011033 and RED2018-102576-T), Plan Nacional sobre Drogas (2020I028), Junta de Castilla y León (Escalera de Excelencia CLU-2017-03), Ayudas Equipos Investigación Biomedicina 2017 Fundación BBVA and Fundación Ramón Areces. SS was funded by a grant from the Mila’s Miracle Foundation. TB was supported by German Research Council (DFG) grant FOR2625. SM benefits from MRC funding to the MRC Laboratory for Molecular Cell Biology University Unit at UCL (award code MC_U12266B) towards laboratory and office space. We acknowledge Marcella Cesana for providing the TFEB virus. Graphical abstract was created using BioRender.com

Segundo Congreso Salesiano de Ciencia, Tecnología e Innovación para la Sociedad

La segunda edición del Congreso Salesiano de Ciencia, Tecnología e Innovación para la Sociedad, CITIS, realizado el 2 y 3 de diciembre de 2015 y organizado por la Universidad Politécnica Salesiana (sede Guayaquil), ofreció un espacio idóneo para la presentación, difusión e intercambio de importantes investigaciones (nacionales e internacionales) a los docentes investigadores y a la comunidad universitaria en general. Los trabajos recogidos en estas Memorias Académicas pertenecen a diferentes líneas de investigación del área de la Ingeniería: Telecomunicaciones, Automatización y Control, Procesos Industriales, Sistemas Eléctricos de Potencia, Telemática e Informática Aplicada, áreas de interés en esta segunda edición del CITIS. Cabe destacar que se evidencia la preocupación por la dimensión humana y social mediante el desarrollo responsable de la ciencia y la tecnología. La realización de este Congreso ha puesto en evidencia la importancia y pertinencia de la actividad investigativa que se genera en las universidades (en proyectos desarrollados por los docentes investigadores e, incluso, por los estudiantes de grado y posgrado), así como los altos niveles de compromiso académico y social

Physiological Adaptations to Progressive Endurance Exercise Training in Adult and Aged Rats: Insights from the Molecular Transducers of Physical Activity Consortium (MoTrPAC)

While regular physical activity is a cornerstone of health, wellness, and vitality, the impact of endurance exercise training on molecular signaling within and across tissues remains to be delineated. The Molecular Transducers of Physical Activity Consortium (MoTrPAC) was established to characterize molecular networks underlying the adaptive response to exercise. Here, we describe the endurance exercise training studies undertaken by the Preclinical Animal Sites Studies component of MoTrPAC, in which we sought to develop and implement a standardized endurance exercise protocol in a large cohort of rats. To this end, Adult (6-mo) and Aged (18-mo) female (n = 151) and male (n = 143) Fischer 344 rats were subjected to progressive treadmill training (5 d/wk, ∼70%-75% VO2max) for 1, 2, 4, or 8 wk; sedentary rats were studied as the control group. A total of 18 solid tissues, as well as blood, plasma, and feces, were collected to establish a publicly accessible biorepository and for extensive omics-based analyses by MoTrPAC. Treadmill training was highly effective, with robust improvements in skeletal muscle citrate synthase activity in as little as 1-2 wk and improvements in maximum run speed and maximal oxygen uptake by 4-8 wk. For body mass and composition, notable age- and sex-dependent responses were observed. This work in mature, treadmill-trained rats represents the most comprehensive and publicly accessible tissue biorepository, to date, and provides an unprecedented resource for studying temporal-, sex-, and age-specific responses to endurance exercise training in a preclinical rat model

CMS physics technical design report : Addendum on high density QCD with heavy ions

Peer reviewe

Future-ai:International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Despite major advances in artificial intelligence (AI) for medicine and healthcare, the deployment and adoption of AI technologies remain limited in real-world clinical practice. In recent years, concerns have been raised about the technical, clinical, ethical and legal risks associated with medical AI. To increase real world adoption, it is essential that medical AI tools are trusted and accepted by patients, clinicians, health organisations and authorities. This work describes the FUTURE-AI guideline as the first international consensus framework for guiding the development and deployment of trustworthy AI tools in healthcare. The FUTURE-AI consortium was founded in 2021 and currently comprises 118 inter-disciplinary experts from 51 countries representing all continents, including AI scientists, clinicians, ethicists, and social scientists. Over a two-year period, the consortium defined guiding principles and best practices for trustworthy AI through an iterative process comprising an in-depth literature review, a modified Delphi survey, and online consensus meetings. The FUTURE-AI framework was established based on 6 guiding principles for trustworthy AI in healthcare, i.e. Fairness, Universality, Traceability, Usability, Robustness and Explainability. Through consensus, a set of 28 best practices were defined, addressing technical, clinical, legal and socio-ethical dimensions. The recommendations cover the entire lifecycle of medical AI, from design, development and validation to regulation, deployment, and monitoring. FUTURE-AI is a risk-informed, assumption-free guideline which provides a structured approach for constructing medical AI tools that will be trusted, deployed and adopted in real-world practice. Researchers are encouraged to take the recommendations into account in proof-of-concept stages to facilitate future translation towards clinical practice of medical AI