NIRS potential use for the determination of natural resources quality from dehesa (acorn and grass) in Montanera system for Iberian pigs.

NIRS technology has been used as an alternative to conventional methods to determinate the content of nutrients of acorns and grass from dehesa ecosystem. Dry matter (DM), crude fat (CF), crude protein (CP), starch, total phenolic compounds (TP), α-tocopherol, γ-tocopherol, fatty acids, neutral detergent fiber (NDF), total antioxidant activity (TAA) and total energy (TE) were determined by conventional methods for later development of NIRS predictive equations. The NIR spectrum of each sample was collected and for all studied parameters, a predictive model was obtained and external validated. Good prediction equations were obtained for moisture, crude fat, crude protein, total energy and γ-tocopherol in acorns samples, with high coefficients of correlation (1-VR) and low standard error of prediction (SEP) (1-VR=0.81, SEP=2.62; 1-VR=0.92, SEP=0.54; 1-VR=0.86, SEP=0.47; 1-VR=0.84, SEP=0.2; 1-VR=0.88, SEP=5.4, respectively) and crude protein, NDF, α-tocopherol and linolenic acid content in grass samples (1-VR=0.9, SEP=1.99; 1-VR=0.87, SEP=4.13; 1-VR=0.76, SEP=10.9; 1-VR=0.82, SEP=0.6, respectively). Therefore, these prediction models could be used to determinate the nutritional composition of Montanera natural resources

Most worrysome weeds in Spain

Se presentan los resultados de una encuesta realizada durante el periodo de junio a octubre de 2014, y en la que participaron 315 técnicos de campo de toda España. Los datos están disponibles en Internet y su análisis permite concluir que a) las malas hierbas preocupan tanto como las plagas y enfermedades; b) respecto a los métodos de control, el control químico con herbicidas es el más usado y el considerado más eficaz; se han detectado las malas hierbas más preocupantes en una serie de cultivos, incluyendo el motivo de la preocupación. En cultivos leñosos, destaca “Conyza” por su dificultad de control, en arroz destacan “Echinochloa” y “Cyperus”; en algodón y maíz preocupan “Abutilon”, “Chenopodium”, “Cyperus”, Echinochloa y Sorghum; en cultivos extensivos de secano, la preocupación no está tan concentrada en pocas especies, destacando malas hierbas gramíneas en trigo y cebada junto con Centaurea, que es considerada preocupante adicionalmente en el cultivo del girasol. Finalmente, se seleccionan arvenses de preocupación creciente, entre las que destacan “Abutilon”, “Centaurea”, “Chenopodium” y “Sorghum”.Since June to October 2014, 315 Spanish field advisors participated in a survey. Data is available on internet and results show that a) weeds are as worrying as other pests and diseases; b) chemical control is the most used weed control method and is considered to be the most efficient one; c) knowledge transfer in weed management is largely dependant on herbicide industry; d) most worrying weeds have been identified for several crops, as well as the reasons why they are considered worrysome. In permanent crops, “Conyza” is refered to be by far the worst weed, mainly because it is difficult to control; in rice, the worst weeds are “Echinochloa” and “Cyperus”; in corn and cotton “Abutilon”, “Chenopodium”, “Cyperus”, “Echinochloa” and “Sorghum”; in annual dryland crops weed problems are less focused, being the most worrying weeds annual grasses in wheat and barley, besides “Centaurea”, which is also considered to be a problem in sunflower. Finally, there are weeds of increasing threat like “Abutilon”, “Centaurea”, “Chenopodium” and “Sorghum”

Trifaceted Mickey Mouse Amphiphiles for Programmable Self-Assembly, DNA Complexation and Organ-Selective Gene Delivery

Instilling segregated cationic and lipophilic domains with an angular disposition in a trehalose-based trifaceted macrocyclic scaffold allows engineering patchy molecular nanoparticles leveraging directional interactions that emulate those controlling self-assembling processes in viral capsids. The resulting trilobular amphiphilic derivatives, featuring a Mickey Mouse architecture, can electrostatically interact with plasmid DNA (pDNA) and further engage in hydrophobic contacts to promote condensation into transfectious nanocomplexes. Notably, the topology and internal structure of the cyclooligosaccharide/pDNA co-assemblies can be molded by fine-tuning the valency and characteristics of the cationic and lipophilic patches, which strongly impacts the transfection efficacy in vitro and in vivo. Outstanding organ selectivities can then be programmed with no need of incorporating a biorecognizable motif in the formulation. The results provide a versatile strategy for the construction of fully synthetic and perfectly monodisperse nonviral gene delivery systems uniquely suited for optimization schemes by making cyclooligosaccharide patchiness the focus.Ministerio de Ciencia, Innovación y Universidades y Agencia Estatal de Investigación de España. RTI2018-097609-B-C21, RTI2018-097609-B-C22 y PID2019-105858RB-I00Universidad de Alcalá de Henares, Madrid. CCG19/CC-03

Enhanced Gene Delivery Triggered by Dual pH/Redox Responsive Host-Guest Dimerization of Cyclooligosaccharide Star Polycations

A robust strategy is reported to build perfectly monodisperse star polycationscombining a trehalose-based cyclooligosaccharide (cyclotrehalan, CT) centralcore onto which oligoethyleneimine radial arms are installed. Thearchitectural perfection of the compounds is demonstrated by a variety ofphysicochemical techniques, including NMR, MS, DLS, TEM, and GPC. Key tothe strategy is the possibility of customizing the cavity size of the macrocyclicplatform to enable/prevent the inclusion of adamantane motifs. Theseproperties can be taken into advantage to implement sequential levels ofstimuli responsiveness by combining computational design, precisionchemistry and programmed host-guest interactions. Specifically, it is shownthat supramolecular dimers implying a trimeric CT-tetraethyleneimine starpolycation and purposely designed bis-adamantane guests are preorganizedto efficiently complex plasmid DNA (pDNA) into transfection-competentnanocomplexes. The stability of the dimer species is responsive to theprotonation state of the cationic clusters, resulting in dissociation at acidicpH. This process facilitates endosomal escape, but reassembling can takeplace in the cytosol then handicapping pDNA nuclear import. By equippingthe ditopic guest with a redox-sensitive disulfide group, recapturingphenomena are prevented, resulting in drastically improved transfectionefficiencies both in vivo and in vitro.Ministerio de Ciencia e Innovación y Agencia Estatal de Investigación, de España-MCIN/AEI/10.13039/501100011033Fondo Europeo de Desarrollo Regional de la Unión Europea-RTI2018-097609-B-C21, RTI2018-097609-B-C22, PID2019-105858RB-I00 y PID2020-118384GB-I00Junta de Andalucía-P20_0016

A fuzzy approach for feature extraction of brain tissues in Non-Contrast CT

In neuroimaging, brain tissue segmentation is a fundamental part of the techniques that seek to automate the detection of pathologies, the quantification of tissues or the evaluation of the progress of a treatment. Because of its wide availability, lower cost than other imaging techniques, fast execution and proven efficacy, Non-contrast Cerebral Computerized Tomography (NCCT) is the most used technique in emergency room for neuroradiology examination, however, most research on brain segmentation focuses on MRI due to the inherent difficulty of brain tissue segmentation in NCCT. In this work, three brain tissues were characterized: white matter, gray matter and cerebrospinal fluid in NCCT images. Feature extraction of these structures was made based on the radiological attenuation index denoted by the Hounsfield Units using fuzzy logic techniques. We evaluated the classification of each tissue in NCCT images and quantified the feature extraction technique in images from real tissues with a sensitivity of 92% and a specificity of 96% for images from cases with slice thickness of 1 mm, and 96% and 98% respectively for those of 1.5 mm, demonstrating the ability of the method as feature extractor of brain tissues.Postprint (published version

Software para el cálculo de la huella ambiental en la producción de cacao

El presente artículo contiene aspectos importantes en las diferentes etapas del cultivo de cacao, además, los componentes representativos, agentes involucrados e indicadores para el cálculo de la huella de carbono e hídrica, que mejora el sistema de producción de la comunidad de cacaocultores del Huila con el desarrollo de un Software el cual, se aborda con una metodología ágil a través del método SCRUM. En la etapa de análisis se toma las variables involucradas en la producción de cacao, y las normativas ambientales internacionales vigente

Trehalose-based siamese twin amphiphiles with tunable self-assembling, DNA nanocomplexing and gene delivery properties

An original family of multivalent vectors encompassing gemini and facial amphiphilicity, namely cationic Siamese twin surfactants, has been prepared fromthe disaccharide trehalose; molecular engineering lets us modulate the self-assembling properties and the topology of the nanocomplexes with plasmid DNA for efficient gene delivery in vitro and in vivo