Crossing the hurdle: the determinants of individual scientific performance

An original cross sectional dataset referring to a medium sized Italian university is implemented in order to analyze the determinants of scientific research production at individual level. The dataset includes 942 permanent researchers of various scientific sectors for a three year time span (2008 - 2010). Three different indicators - based on the number of publications or citations - are considered as response variables. The corresponding distributions are highly skewed and display an excess of zero - valued observations. In this setting, the goodness of fit of several Poisson mixture regression models are explored by assuming an extensive set of explanatory variables. As to the personal observable characteristics of the researchers, the results emphasize the age effect and the gender productivity gap, as previously documented by existing studies. Analogously, the analysis confirm that productivity is strongly affected by the publication and citation practices adopted in different scientific disciplines. The empirical evidence on the connection between teaching and research activities suggests that no univocal substitution or complementarity thesis can be claimed: a major teaching load does not affect the odds to be a non-active researcher and does not significantly reduce the number of publications for active researchers. In addition, new evidence emerges on the effect of researchers administrative tasks, which seem to be negatively related with researcher's productivity, and on the composition of departments. Researchers' productivity is apparently enhanced by operating in department filled with more administrative and technical staff, and it is not significantly affected by the composition of the department in terms of senior or junior researchers.Comment: Revised version accepted for publication by Scientometric

A Permutation-based Combination of Sign Tests for Assessing Habitat Selection

The analysis of habitat use in radio-tagged animals is approached by comparing the portions of use vs the portions of availability observed for each habitat type. Since data are linearly dependent with singular variance-covariance matrices, standard multivariate statistical test cannot be applied. To overcome the problem, compositional data analysis is customary performed via log-ratio transform of sample observations. The procedure is criticized in this paper, emphasizing the many drawbacks which may arise from the use of compositional analysis. An alternative nonparametric solution is proposed in the framework of multiple testing. The habitat use is assessed separately for each habitat type by means of the sign test performed on the original observations. The resulting p-values are combined in an overall test statistic whose significance is determined permuting sample observations. The theoretical findings of the paper are checked by simulation studies. Applications to some case studies are considered.compositional data analysis, Johnson’s second order selection, Johnson’s third order selection, Monte Carlo studies, multiple testing, random habitat use.

A family of consistent normally distributed tests for Poissonity

A consistent test based on the probability generating function is proposed for assessing Poissonity against a wide class of count distributions, which includes some of the most frequently adopted alternatives to the Poisson distribution. The statistic, in addition to have an intuitive and simple form, is asymptotically normally distributed, allowing a straightforward implementation of the test. The finite sample properties of the test are investigated by means of an extensive simulation study. The test shows a satisfactory behaviour compared to other tests with known limit distribution

Design-based spatial interpolation with data driven selection of the smoothing parameter

In the inverse distance weighting interpolation the interpolated, value is a weighted mean of the sampled values, with weights decreasing with the distances. The most widely adopted class of distance functions is the class of negative powers of order α and the appropriate choice of the smoothing parameter α is a crucial issue. In this paper, we give sufficient conditions for the design-based consistency of the inverse distance weighting interpolator when α is selected by cross-validation techniques, and a pseudo-population bootstrap approach is introduced to estimate the accuracy of the resulting interpolator. A simulation study is performed to empirically confirm the theoritical findings and to investigate the finite-sample properties of the interpolator obtained using leave-one-out cross-validation. Moreover, a comparison with the nearest neighbor interpolator, which is the limiting case for α = ∞, is performed. Finally, the estimation of the surface of the Shannon diversity index of tree diameter at breast height in the experimental watershed of Bonis forest (Southern Italy) is described

Goodness-of-fit test for count distributions with finite second moment

A goodness-of-fit test for one-parameter count distributions with finite second moment is proposed. The test statistic is derived from the $L_1$-distance of a function of the probability generating function of the model under the null hypothesis and that of the random variable actually generating data, when the latter belongs to a suitable wide class of alternatives. The test statistic has a rather simple form and it is asymptotically normally distributed under the null hypothesis, allowing a straightforward implementation of the test. Moreover, the test is consistent for alternative distributions belonging to the class, but also for all the alternative distributions whose probability of zero is different from that under the null hypothesis. Thus, the use of the test is proposed and investigated also for alternatives not in the class. The finite-sample properties of the test are assessed by means of an extensive simulation study

The Economic Valuation of Ecosystem Services of Biodiversity Components in Protected Areas: A Review for a Framework of Analysis for the Gargano National Park

Protected areas play an important role in the conservation and protection of biodiversity of particular territories, especially of ecosystems that provide resources for living organisms, including human beings. Different studies highlight the importance of biodiversity and its associated benefits in terms of ecosystem services of protected areas. The economic assessment of ecosystem services and biodiversity becomes a viable solution to help the policy maker to make decisions on the environmental preservation of these areas according to the Agenda 2030 for Sustainable Development. Nonetheless, very few studies provide an economic evaluation of the benefits of protected areas. To advance the current debate on the economic evaluation of the benefits provided by protected areas, the present paper purposes an integrated approach. It presents an overview of main ecosystem services’ mapping techniques currently available to researchers and policy makers and offers a systematic review carried out for the period 2015–2020 at an international level. The main findings are particularly attractive for the Gargano National Park (GNP) in the south of Italy, which is recognised as being a biodiversity hot spot at global level. The current study provides useful guidance for the assessment of trade-offs, the support to policy makers, and the provision of efficient allocation of public resources for protected area

An electro-mechanical bioreactor providing physiological cardiac stimuli

In cardiac tissue engineering it has been widely demonstrated the fundamental role of physical stimuli in improving structural and functional properties of the engineered cardiac constructs. An electro-mechanical bioreactor has been designed and developed to provide physiological uniaxial stretching and electrical stimuli for inducing functional differentiation and promoting morphological and structural maturation of cultured cardiac constructs obtained from stem cell-seeded scaffolds. The bioreactor is composed of: a transparent and sterilizable culture chamber for housing four cell-seeded scaffolds and the culture medium (working volume = 70 ml); a mechanical stimulation system, with a dedicated grasping system, to provide cyclic stretching (strain up to 20%, cycling frequency up to 2 Hz); an electrical stimulation system to provide electrical monophasic square pulses (1-6 V/cm, 0.25-10 ms, 1-5 Hz); a recirculation system for the automated medium change; a control system for data acquisition and mechanical stimulation. Preliminary in-house tests confirmed the suitability and the performances of the bioreactor as regards fittingness of chamber isolation, grasping system, and physical stimulation systems. Cell culture tests are in progress for investigating the influence of stretching and electrical stimuli on development of engineered cardiac constructs. Due to its high versatility, this bioreactor is a multipurpose adaptable system for dynamic culture of cell-seeded scaffolds for tissue engineering research and application

An electro-mechanical bioreactor providing physiological cardiac stimuli

In cardiac tissue engineering it has been widely demonstrated the fundamental role of physical stimuli in improving structural and functional properties of the engineered cardiac constructs. An electro-mechanical bioreactor has been designed and developed to provide physiological uniaxial stretching and electrical stimuli for inducing functional differentiation and promoting morphological and structural maturation of cultured cardiac constructs obtained from stem cell-seeded scaffolds. The bioreactor is composed of: a transparent and sterilizable culture chamber for housing four cell-seeded scaffolds and the culture medium (working volume = 70 ml); a mechanical stimulation system, with a dedicated grasping system, to provide cyclic stretching (strain up to 20%, cycling frequency up to 2 Hz); an electrical stimulation system to provide electrical monophasic square pulses (1-6 V/cm, 0.25-10 ms, 1-5 Hz); a recirculation system for the automated medium change; a control system for data acquisition and mechanical stimulation. Preliminary in-house tests confirmed the suitability and the performances of the bioreactor as regards fittingness of chamber isolation, grasping system, and physical stimulation systems. Cell culture tests are in progress for investigating the influence of stretching and electrical stimuli on development of engineered cardiac constructs. Due to its high versatility, this bioreactor is a multipurpose adaptable system for dynamic culture of cell-seeded scaffolds for tissue engineering research and applications

Tissue transglutaminase is involved in the inflammatory processes of active chronic gastritis

Since tissue transglutaminase-2 (TG2) can represent a marker of inflammation for some gastrointestinal (GI) diseases, we aimed to evaluate TG2 and inflammatory markers? mucosal content in gastric antrum biopsies to shed light on the histological and biochemical background of chronic gastritis inflammation. Fifty-one of 78 patients who underwent upper GI endoscopy (UGIE) for dyspeptic symptoms, had a gastric biopsy. The symptom profile was assessed by a GI symptom rating scale (GSRS) score. Thirty-five patients (69%) showed chronic gastritis. TG2, interleukin-6 (IL)-6, IL-8, IL-10, tumor necrosis factor (TNF)-?, lipopolysaccharides (LPS) and toll-like receptor (TLR)-4 were evaluated in serum and the culture medium of gastric biopsies. TG2, IL-8, IL-10, TLR-4 and TNF-? were significantly higher in active chronic gastritis than in the inactive one and were linked to macrophage concentration. IL-6 was significantly lower in the active form of chronic gastritis than in the inactive one and negatively correlated with TG2. Lastly, IL-10 significantly correlated with the macrophage score. TG2 can exert an active role in chronic gastritis pathogenesis by cooperating with different markers of inflammation. It seems that TG2 can represent a possible therapeutic target for modulating inflammation and disease progression