El poblamiento de la edad del cobre en la tierra llana de Huelva

Se presentan en este trabajo los resultados del Proyecto Tierra Llana de Huelva referidos a la ocupación de la Edad del Cobre. Proponemos una permanencia del sistema del poblamiento durante el Calcolítico y Bronce Pleno, y su ruptura hacia el Bronce Final, periodo en el que se estructura el territorio en turno a centros hegemónicos.____________________________They are presented in this work the results of the project Flat Earth of Huelva referred to the occupation of the Copper Age. We propose a permanency of the system of the settlement during the Calcolithic time and Middle-Bronze Age, and their rupture toward the Final Bronze Age, in the one that the territory appears structured to hegemonic centers

Niebla, de Oppidum a Madina

In this paper we study excavation results and studies carried out in the Niebla Ar-chaeological Urban Proyect. The relationship between the Niebla (Huelva province, southwest Spain) settlement and the configuration of an urban model from the Late Bronze Age to Medieval Time, explains the importance that the urban concept have been througth the time in the Huelva Countryside, and we analize the diferent eco-nomic interactive models beetwen the city and its territory.En este trabajo se estudian los resultados de las excavaciones y estudios realizados en el Proyecto de Arqueología Urbana en Niebla (Huelva). El papel desempeñado por el asentamiento de Niebla en la configuración de un modelo de ciudad con orígenes en el Bronce Final y su evolución a lo largo de las etapas preromana, romana y medieval, explica el rango que el concepto urbano ha tenido a lo largo de este periodo en la campiña de Huelva, y se analizan las causas que provocan los dis­tintos modelos por la interacción de relaciones económicas y sociales entre mundo urbano y su territorio

Smithing work in Islamic Ceuta

Se estudian en este trabajo los artefactos metalúrgicos exhumados en una excavación arqueológica preventiva llevada a cabo en el casco urbano de Ceuta, en conexión con una estructura de combustión que se ha interpretado como un hogar de forja. En paralelo a lo que sucede en otros asentamientos islámicos medievales de las costas de la Península Ibérica, se relaciona este tratamiento de minerales de hierro con la construcción naval. Se incide en la importancia de esta actividad desde al menos el siglo VI d.C. y su etapa de apogeo a partir de la segunda mitad del siglo XII con el establecimiento de la escuadra almohade en esta ciudadIn this article are studied the archeometallurgical remains exhumed in an archaeological excavation located in the centre of Ceuta (Spain, North Africa), in connection with a structure of combustion that has been interpreted like a forging workshop. As happens with other medieval Islamic settlements on the coasts of the Iberian Peninsula, the treatment of iron ores is related to shipbuilding industry. The importance of this activity is palpable since the 6th century, but even more in the second half of the twelfth century with the establishment of the almohade fleet in the cit

Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals

Several European countries have established criteria for prioritising initiation of treatment in patients infected with the hepatitis C virus (HCV) by grouping patients according to clinical characteristics. Based on neural network techniques, our objective was to identify those factors for HIV/HCV co-infected patients (to which clinicians have given careful consideration before treatment uptake) that have not being included among the prioritisation criteria. This study was based on the Spanish HERACLES cohort (NCT02511496) (April-September 2015, 2940 patients) and involved application of different neural network models with different basis functions (product-unit, sigmoid unit and radial basis function neural networks) for automatic classification of patients for treatment. An evolutionary algorithm was used to determine the architecture and estimate the coefficients of the model. This machine learning methodology found that radial basis neural networks provided a very simple model in terms of the number of patient characteristics to be considered by the classifier (in this case, six), returning a good overall classification accuracy of 0.767 and a minimum sensitivity (for the classification of the minority class, untreated patients) of 0.550. Finally, the area under the ROC curve was 0.802, which proved to be exceptional. The parsimony of the model makes it especially attractive, using just eight connections. The independent variable "recent PWID" is compulsory due to its importance. The simplicity of the model means that it is possible to analyse the relationship between patient characteristics and the probability of belonging to the treated group

Steroidal Saponins from Furcraea hexapetala Leaves and Their Phytotoxic Activity

Four new steroidal saponins (1−4) along with 13 known saponins were isolated from the leaves of Furcraea hexapetala. The new compounds were identified as (20R,22R,25R)-3β-hydroxy-5α-spirostan-12-one 3-O-{α-Lrhamnopyranosyl-(1→4)-O-β-D-glucopyranosyl-(1→3)-O-[β-D-glucopyranosyl-(1→3)-O-β-D-glucopyranosyl-(1→2)]-O-β-D-glucopyranosyl-(1→4)-O-β-D-galactopyranoside} (1), (25R)-3β-hydroxy-5α-spirost-20(21)-en-12-one 3-O-{α-Lrhamnopyranosyl-(1→4)-O-β-D-glucopyranosyl-(1→3)-O-[β-D-glucopyranosyl-(1→3)-O-β-D-glucopyranosyl-(1→2)]-O-β-D-glucopyranosyl-(1→4)-O-β-D-galactopyranoside} (2), (25R)-5α-spirostan-3β-ol 3-O-{β-D-glucopyranosyl-(1→2)-O-β-D-glucopyranosyl-(1→2)-O-β-D-glucopyranosyl-(1→4)-O-β-D-galactopyranoside} (3), and (25R)-5β-spirostan-3β-ol 3-O-{β-D-glucopyranosyl-(1→6)-O-β-D-galactopyranoside} (4) by spectroscopic analysis, including one- and two-dimensional NMR techniques, mass spectrometry, and chemical methods. The phytotoxicity of the isolated compounds against the standard target species Lactuca sativa was evaluated. Structure−activity relationships for these compounds with respect to phytotoxic effects are discussed

Bioactive steroidal saponins from Agave offoyana flowers

Bioguided studies of flowers of Agave offoyana allowed the isolation of five steroidal saponins never described previously, Magueyosides A–E (1–5), along with six known steroidal saponins (6–11). The structures of compounds were determined as (25R)-spirost-5-en-2a,3b-diol-12-one 3-O-{b-D-xylopyranosyl-(1-3)-O-b-D-glucopyranosyl-(1-2)-O-[b-D-xylopyranosyl-(1-3)]-O-b-D-glucopyranosyl-( 1-4)-O-b-D-galactopyranoside} (1), (25R)-spirost-5-en-2a,3b-diol-12-one 3-O-{b-D-glucopyranosyl-(1-2)-O-[b-D-xylopyranosyl-(1-3)]-O-b-D-glucopyranosyl-(1-4)-O-b-D galactopyranoside} (2), (25R)-spirost-5-en-2a,3b,12b-triol 3-O-{b-D-glucopyranosyl-(1-2)-O-[b-D-xylopyranosyl-(1-3)]- O-b-D-glucopyranosyl-(1-4)-O-b-D-galactopyranoside} (3), (25R)-5a-spirostan-2a,3b-diol-12-one 3-O-{b-D-xylopyranosyl-(1-3)-O-b-D-glucopyranosyl-(1-2)-O-[b-D-xylopyranosyl-(1-3)]-O-b-D-glucopyranosyl-(1-4)-O-b-D-galactopyranoside} (4), and (25R)-5a-spirostan-2a,3b-diol-9(11)-en-12-one 3-O-{b-D-xylopyranosyl-(1-3)-O-b-D-glucopyranosyl-(1-2)-O-[b-D-xylopyranosyl-(1-3)]-O-b-D-glucopyranosyl-( 1-4)-O-b-D-galactopyranoside} (5), by comprehensive spectroscopic analysis, including one- and two-dimensional NMR techniques, mass spectrometry and chemical methods. The bioactivities of the isolated compounds on the standard target species Lactuca sativa were evaluated. A dosedependent phytotoxicity and low dose stimulation were observed

Phytotoxic steroidal saponins from Agave offoyana leaves

A bioassay-guided fractionation of Agave offoyana leaves led to the isolation of five steroidal saponins (1–5) along with six known saponins (6–11). The compounds were identified as (25R)-spirost-5-en-2α,3β-diol-12-one 3-O-{α-L-rhamnopyranosyl-(1→3)-O-β-D-glucopyranosyl-(1→2)-O-[β-D-xylopyranosyl-(1→3)]-O-β-D-glucopyranosyl-(1→4)-O-β-D-galactopyranoside} (1), (25R)-spirost-5-en-3β-ol-12-one 3-O-{α-L-rhamnopyranosyl-(1→3)-O-β-D-glucopyranosyl-(1→2)-O-[β-D-xylopyranosyl-(1→3)]-O-β-D-glu copyranosyl-(1→4)-O-β-D-galactopyranoside} (2), (25R)-spirost-5-en-3β-ol-12-one 3-O-{β-D-xylopyrano syl-(1→3)-O-β-D-glucopyranosyl-(1→2)-O-[β-D-xylopyranosyl-(1→3)]-O-β-D-glucopyranosyl-(1→4)-O-β -D-galactopyranoside} (3), (25R)-26-O-β-D-glucopyranosylfurost-5-en-3β,22α,26-triol-12-one 3-O- {α-L-rhamnopyranosyl-(1→3)-O-β-D-glucopyranosyl-(1→2)-O-[β-D-xylopyranosyl-(1→3)]-O-β-D-glucopyrano syl-(1→4)-O-β-D-galactopyranoside} (4) and (25R)-26-O-β-D-glucopyranosylfurost-5-en-3β,22α,26-triol- 12-one 3-O-{β-D-xylopyranosyl-(1→3)-O-β-D-glucopyranosyl-(1→2)-O-[β-D-xylopyranosyl-(1→3)]-O-β- D-glucopyranosyl-(1→4)-O-β-D-galactopyranoside} (5) by comprehensive spectroscopic analysis, including one- and two-dimensional NMR techniques, mass spectrometry and chemical methods. The phytotoxicity of the isolated compounds on the standard target species Lactuca sativa was evaluated

Triterpenoid saponins from the aerial parts of Trifolium argutum Sol. and their phytotoxic evaluation

Four triterpenoid saponins (1–4) were isolated from the aerial parts of Trifolium argutum Sol. (sharptooth clover) and their structures were elucidated by comprehensive spectroscopic analysis, including 1D and 2D NMR techniques, mass spectrometry and chemical methods. Two of them are new compounds, characterized as 3-O-[α-L-rhamnopyranosyl-(1→2)-β-D-galactopyranosyl-(1→2)-β-D-glucuronopyra- nosyl]-3β,24-dihydroxyolean-12-ene-22-oxo-29-oic acid (1) and 3-O-[β-D-galactopyranosyl-(1→2)- β-D-glucuronopyranosyl]-3β,24-dihydroxyolean-12-ene-22-oxo-29-oic acid (2). The occurrence of 3β,24-dihydroxyolean-12-ene-22-oxo-29-oic acid (melilotigenin) in its natural form is reported for the first time as a triterpenoid aglycone within Trifolium species. The phytotoxicity of compounds was evaluated on four STS at concentration 1 μM to 333 mM. Compound 1 was the most active, showing more than 60% inhibition on the root growth of L. sativa at the higher dose, with IC50 (254.1 μM) lower than that of Logran1 (492.6 μM), a commercial herbicide used as positive control. The structure–activity relationships indicated that both aglycones and glycosidic parts may influence the phytotoxicity of saponins