The investment decision-making process of Portuguese venture capital funds: What’s different and what’s the same?

Startups have been proliferating in the business landscape despite the capital restrictions that these companies usually face. This competition for capital has created a very sophisticated venture capital industry across the world. Extant literature explains the investment process of venture capital firms in different countries but no work has previously studied the Portuguese industry. To fill this gap, we have conducted an exploratory study in this country using semistructured interviews. Our findings unfold an interactive process with some simultaneous elements. Surprisingly, the startup’s financial track record is not important in the investment decision. This research results represent a contribution to the body of knowledge on the Portuguese VC industry.info:eu-repo/semantics/acceptedVersio

APPLICATION OF PRINCIPAL COMPONENT ANALYSIS IN THE STUDY OF TASKS WITH DIFFERENT MECHANICAL CONSTRAINTS

This study aims to compare the lower limb kinematics between two landing tasks, using the Principal Component Analysis (PCA) and parametric techniques. Ten male volleyball athletes performed bilateral vertical jumps with single leg or double leg landings. Hip, knee and ankle kinematics were used in the analysis. Statistical analysis was performed in the principal components coefficients (PCC) retained in the PCA and in the parametric variables. Only the first PCC presented differences in the three joints. The minimum peak showed differences in the ankle and knee, the maximum peak was different in the knee and hip and the mean angular displacement showed differences in the three joints. PCA described the differences presented by the parametric variables allowing the identification of the location where the variance between the landing tasks could be better explained

The Farther the Better: Effects of Multiple Environmental Variables on Reef Fish Assemblages along a Distance Gradient from River Influences

The conservation and management of site-attached assemblages of coastal reefs are particularly challenging because of the tremendous environmental variation that exists at small spatial scales. In this sense, understanding the primary sources of variation in spatial patterns of the biota is fundamental for designing effective conservation policies. We investigated spatial variation in fish assemblages around the windward and leeward sides of coastal islands situated across a gradient of riverine influence (13 km in length). Specifically, relationships between rocky reef fish assemblages and benthic, topographic and physical predictors were assessed. We hypothesized that river induced disturbances may overcome local habitat features in modeling spatial patterns of fish distribution. Fish assemblages varied primarily due to the strong directional gradient of riverine influence (22.6% of the estimated components of variation), followed by topographic complexity (15%), wave exposure (9.9%), and benthic cover (8%). The trophic structure of fish assemblages changed from having a high abundance of invertebrate feeders in macroalgae-dominated reefs close to river mouths to a high proportion of herbivores, planktivores and invertebrate feeder species in reefs with large boulders covered by epilithic algal matrices, as the distance from rivers increased. This gradient led to an increase of 4.5-fold in fish richness and fish trophic group diversity, 11-fold in fish biomass and 10-fold in fish abundance. Our results have implications for the conservation and monitoring of assemblages patchily distributed at small spatial scales. The major role of distance from river influences on fish assemblages rather than benthic cover and topographic complexity suggest that managing land-based activities should be a conservation priority toward reef restoration.Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Fed Rural Rio de Janeiro, Dept Biol Anim, Lab Ecol Peixes, Campus Seropedica, Seropedica, RJ, BrazilUniv Fed Rural Rio de Janeiro, Dept Ciencias Meio Ambiente, Campus Tres Rios, Seropedica, RJ, BrazilUniv Fed Sao Paulo, Inst Mar, Lab Ecol & Conservacao Marinha, Campus Baixada Santista, Santos, SP, BrazilLaboratório de Ecologia e Conservação Marinha, Instituto do Mar, Universidade Federal de São Paulo, Campus Baixada Santista, Santos, SP, BrazilWeb of Scienc

ENERGY COST DURING WALKING AND RUNNING A SAME DISTANCE IS ASSOCIATED WITH VERTICAL OSCILLATION ON GRAVITY CENTER.

The purpose of this study was to evaluate which factors are involved in energetic cost of running and walking a same distance (2,000 meters). Eight healthy men were submitted to walking (5.5km/h) and running (11Km/h) tests, when oxygen consumption, for energy expenditure of exercise, was monitored, and images of volunteers were recorded for vertical oscillation of gravity center. Both, total oxygen consumption and estimated energetic cost were significantly higher during the running test (

Functional characterization and target discovery of glycoside hydrolases from the digestome of the lower termite Coptotermes gestroi

<p>Abstract</p> <p>Background</p> <p>Lignocellulosic materials have been moved towards the forefront of the biofuel industry as a sustainable resource. However, saccharification and the production of bioproducts derived from plant cell wall biomass are complex and lengthy processes. The understanding of termite gut biology and feeding strategies may improve the current state of biomass conversion technology and bioproduct production.</p> <p>Results</p> <p>The study herein shows comprehensive functional characterization of crude body extracts from <it>Coptotermes gestroi </it>along with global proteomic analysis of the termite's digestome, targeting the identification of glycoside hydrolases and accessory proteins responsible for plant biomass conversion. The crude protein extract from <it>C. gestroi </it>was enzymatically efficient over a broad pH range on a series of natural polysaccharides, formed by glucose-, xylose-, mannan- and/or arabinose-containing polymers, linked by various types of glycosidic bonds, as well as ramification types. Our proteomic approach successfully identified a large number of relevant polypeptides in the <it>C. gestroi </it>digestome. A total of 55 different proteins were identified and classified into 29 CAZy families. Based on the total number of peptides identified, the majority of components found in the <it>C. gestroi </it>digestome were cellulose-degrading enzymes. Xylanolytic enzymes, mannan- hydrolytic enzymes, pectinases and starch-degrading and debranching enzymes were also identified. Our strategy enabled validation of liquid chromatography with tandem mass spectrometry recognized proteins, by enzymatic functional assays and by following the degradation products of specific 8-amino-1,3,6-pyrenetrisulfonic acid labeled oligosaccharides through capillary zone electrophoresis.</p> <p>Conclusions</p> <p>Here we describe the first global study on the enzymatic repertoire involved in plant polysaccharide degradation by the lower termite <it>C. gestroi</it>. The biochemical characterization of whole body termite extracts evidenced their ability to cleave all types of glycosidic bonds present in plant polysaccharides. The comprehensive proteomic analysis, revealed a complete collection of hydrolytic enzymes including cellulases (GH1, GH3, GH5, GH7, GH9 and CBM 6), hemicellulases (GH2, GH10, GH11, GH16, GH43 and CBM 27) and pectinases (GH28 and GH29).</p

Simcluster: clustering enumeration gene expression data on the simplex space

Transcript enumeration methods such as SAGE, MPSS, and sequencing-by-synthesis EST &#x22;digital northern&#x22;, are important high-throughput techniques for digital gene expression measurement. As other counting or voting processes, these measurements constitute compositional data exhibiting properties particular to the simplex space where the summation of the components is constrained. These properties are not present on regular Euclidean spaces, on which hybridization-based microarray data is often modeled. Therefore, pattern recognition methods commonly used for microarray data analysis may be non-informative for the data generated by transcript enumeration techniques since they ignore certain fundamental properties of this space.&#xd;&#xa;&#xd;&#xa;Here we present a software tool, Simcluster, designed to perform clustering analysis for data on the simplex space. We present Simcluster as a stand-alone command-line C package and as a user-friendly on-line tool. Both versions are available at: http://xerad.systemsbiology.net/simcluster.&#xd;&#xa;&#xd;&#xa;Simcluster is designed in accordance with a well-established mathematical framework for compositional data analysis, which provides principled procedures for dealing with the simplex space, and is thus applicable in a number of contexts, including enumeration-based gene expression data