La memoria contenida en el momento arquitectónico : recordar y recuperar la identidad del territorio

Este proyecto tiene como fin la vinculación de la cotidianidad y la memoria a través de un recorrido en un espacio arquitectónico, dando como resultado una relación entre espacio-usuario que surge a través de la experiencia. Por medio de la creación de atmósferas, operaciones y estrategias de diseño que surgen a partir de analogías del lugar y los recorridos que se generarán en el edificio, se recordara la memoria de lo que fue Armero antes de la tragedia. Teniendo en cuenta lo anterior, se planteará un Centro Tecnológico agropecuario localizado en municipio de Armero, Tolima. Éste como respuesta a unas necesidades de lugar como lo son el desarraigo, olvido, falta de identidad y pertenencia, tras la desaparición de Armero en 1985 por la erupción del Nevado del Ruiz. El proyecto se convertirá en un nodo articulador entre las Ruinas de Armero y Armero-Guayabal, siendo un elemento de transición entre la memoria de un municipio como templo urbano y la realización de una actividad cotidiana como lo es el estudio.The purpose of this project is to link daily life activities and memory through a promenade in an architectural space, resulting in a relationship between user-space that emerges through experience. By the creation of atmospheres, operations and strategies that came up as analogies of the place in the design, and the paths that will be generated in the building, the aim is to remember the memory of what Armero was before the tragedy. Taking into account the above, an Agricultural Technology Center will be located in the county of Armero, Tolima. This as a response to the needs of the place and society, such as uprooting, forgetfulness, lack of identity and belonging, after the disappearance of Armero in 1985 by the avalanche caused by the eruption of the Nevado del Ruiz. The project will become an articulating node between the Ruins of Armero and Armero-Guayabal, as an element of transition between the memory of an urban temple and the performance of a daily activity such as the stud

Carbohydrate status in patients with phenylketonuria

Abstract Background In patients with phenylketonuria (PKU), a low-phenylalanine (Phe) diet supplemented with low-protein foods and a Phe-free amino acid mixture favors a dietary intake rich in carbohydrates, but little is known about how these molecules are metabolized in this setting. The objective of the present study was to analyze carbohydrate metabolism in patients with hyperphenylalaninemia. Methods We conducted a multicenter cross-sectional study to investigate biochemical markers of basal and postprandial carbohydrate metabolism in PKU patients according to age, Phe tolerance, waist circumference and body mass index (BMI), diet, tetrahydrobiopterin (BH4) supplementation, and adherence to treatment. Basal biomarkers and anthropometric parameters were also evaluated in patients with mild hyperphenylalaninemia (MHPA) and in healthy controls. Results A total of 83 patients aged 4–52 years were studied; 68.7% had PKU and 31.3% had MHPA. 68 healthy controls of similar sex and age were also evaluated Metabolic control was adequate in 71.9% of PKU patients. Fasting glucose levels (mean 80.77 ± 8.06 mg/dL) were high in just one patient, but fasting insulin levels, with a mean of 12.74 ± 8.4 mIU/L, were altered in 15 PKU patients (26.3%) and markedly higher than in patients with MPHA (p = 0.035). Fasting insulin levels and Homeostasis Model Assessment Insulin Resistance (HOMA-IR) were significantly higher than in healthy controls and correlated with body mass index, waist circumference, age, and also showed statistically significant differences according to diagnosis and Phe tolerance (p < 0.05). Patients under BH4 therapy had lower insulin levels and HOMA-IR. A higher mean carbohydrate intake from AA mixtures was observed in classic PKU patients. The caloric intake in the form of carbohydrates was also higher in PKU than MHPA patients (p = 0.038) and it was correlated with basal insulin (rho = 0.468, p = 0.006), HOMA-IR (rho = 0.423, p = 0.02), BMI (rho 0.533, p = 0.002), and waist circumference (rho 0.584, p = 0.0007). Conclusions This study shows that PKU patients are at risk of carbohydrate intolerance and insulin resistance, more evident in adults and overweight patients, probably related to their higher caloric intake in form carbohydrate content. A higher dependency of AA mixtures was demonstrated in PKU patients

Additional file 1: of Carbohydrate status in patients with phenylketonuria

Clinical and basal biochemical characteristics of each patient with hyperphenylalaninemia. (DOCX 48 kb

The dawn of the Middle Paleolithic in Atapuerca: the lithic assemblage of TD10.1 from Gran Dolina

The Atapuerca localities present evidence of a long series of hominin occupations from the Early Pleistocene onward and are a key site for understanding the continuity and discontinuity of Western European technological and settlement dynamics. The TD10 unit from Gran Dolina is located in the upper part of the sequence and divided into four lithostratigraphic subunits (TD10.4 to TD10.1, from bottom to top) dated between ca. 450 ka and ca. 250 ka (Marine Isotope Stage 11 to Marine Isotope Stage 8). The technological analysis of the lithic assemblages belonging to the TD10.1 sequence aims to determine the trends among its archeological levels and check its relation to late Middle Pleistocene technological evolution and site functionality. Archeostratigraphic studies have identified several occupation events within its approximately 1.5 m of thickness, whose artifact densities and occupational models differ. However, no remarkable technical differences have been observed among them. Lithic assemblages from those events show more evolved features than other Atapuerca Mode 2 assemblages. These changes are reflected in the selective raw material management strategies; more hierarchized and predetermined reduction methods; and the progressive decrease of large cutting tools in the lithic assemblages with respect to flake tools, the latter defined by a greater typological diversification. These technological changes did not lead to a clear break with respect to previous technological models and were accompanied by other sporadic but significant changes in subsistence and behavioral strategies (bone tools and retouchers; lithic recycling, and so on), which were consolidated during the Middle Paleolithic. Hence, the archeological record from the TD10.1 subunit of Gran Dolina reflects a local stratigraphic transition from Mode 2 to Mode 3 technocomplexes, paralleling that observed in other sites in southwestern Europe.Fieldwork and researchat Atapuerca are funded by the Spanish Ministry of Science, Innovation and University (MICINN-FEDER PGC2018-093925-B-C32, PGC2018-093925-B-C31), the Junta de Castilla y León, and the Fundación Atapuerca. Research is also supported by the AGAUR (SGR 2017-1040) and the URV (2019PFR-URV-91) projects. P.G.-M. and A.B. are beneficiaries of a Marie Sklodowska-Curie grant (Horizon 2020 program, agreement no. 748316 and 702584). A.R.-H. is the beneficiary of a postdoctoral scholarship from the MICIIN, Subprograma Juan de la Cierva (IJC-037447-I)

Additional file 2: of Carbohydrate status in patients with phenylketonuria

Clinical and biochemical characteristics of healthy controls. (DOCX 21 kb

Discovering HIV related information by means of association rules and machine learning

Acquired immunodeficiency syndrome (AIDS) is still one of the main health problems worldwide. It is therefore essential to keep making progress in improving the prognosis and quality of life of affected patients. One way to advance along this pathway is to uncover connections between other disorders associated with HIV/AIDS-so that they can be anticipated and possibly mitigated. We propose to achieve this by using Association Rules (ARs). They allow us to represent the dependencies between a number of diseases and other specific diseases. However, classical techniques systematically generate every AR meeting some minimal conditions on data frequency, hence generating a vast amount of uninteresting ARs, which need to be filtered out. The lack of manually annotated ARs has favored unsupervised filtering, even though they produce limited results. In this paper, we propose a semi-supervised system, able to identify relevant ARs among HIV-related diseases with a minimal amount of annotated training data. Our system has been able to extract a good number of relationships between HIV-related diseases that have been previously detected in the literature but are scattered and are often little known. Furthermore, a number of plausible new relationships have shown up which deserve further investigation by qualified medical experts