Testicular endocrine activity is upregulated by D-Aspartic acid in the green frog Rana esculenta

This study investigated the involvement of D-aspartic acid (D-Asp) in testicular steroidogenesis of the green frog Rana esculenta and its effect on stimulation of thumb pad morphology and glandular activity, a typical testosterone-dependent secondary sexual characteristic in this amphibian species. In the testis, D-Asp concentrations vary significantly during the reproductive cycle: they are low in pre- and post-reproductive periods, but reach peak levels in the reproductive period (140-236 nmol/g wet tissue). Moreover, the concentrations of D-Asp in the testis through the sexual cycle positively match the testosterone levels in the gonad and the plasma. The racemase activity evaluated during the cycle expresses its peak when D-Asp and testosterone levels are highest, that is, during the reproductive period, confirming the synthesis of D-Asp from L-Asp by an aspartate racemase. Short-term in vivo experiments consisting of a single injection of D-Asp (2.0 micro mol/g body weight) demonstrated that this amino acid accumulates significantly in the testis, and after 3 h its uptake is coupled with a testosterone increase in both testis and plasma. Moreover, within 18 h of amino acid administration, the D-Asp concentration in the testis decreased along with the testosterone titer to prestimulation levels. Other amino acids (L-Asp, D-Glu and L-Glu) used instead of D-Asp were ineffective, confirming that the significant increase in testicular testosterone was a specific feature of this amino acid. In long-term experiments, D-Asp had been administered chronically to frogs caught during the three phases of the reproductive cycle, inducing testosterone increase and 17beta-estradiol decrease in the gonad during the pre- and post-reproductive period, and vice versa during the reproductive period

Twenty Years of Random Forest: preliminary results of a systematic literature review

The Random Forest (RF) model consists of an ensemble classifier that produces many decision trees through the use of a randomly selected subset of samples and training variables. The RF model has assumed importance within the scientific community thanks to its performance. The accuracy of its classifications and prediction has allowed the use of RF in several research domains, which have benefited from it. The present study aims to provide a preliminary review of the whole sci- entific production characterized by all the publications citing the article ”Random Forest” by Breiman, 2001, in the last 20 years (2001-2021)

Chapter Measuring the impact of healthcare indicators on academic medical centers’ scientific production

The Italian public-owned Academic Medical Centers (AMCs) are hospitals where the activities of scientific research, teaching, and patients care are fully integrated. AMCs have an enormous impact on society and country health. Recently, policymakers and practitioners give more and more great importance to the AMCs’ scientific activity for both welfare and national competitivity. The scientific production and its impact on the research community could be obviously affected by different factors related to the structural and operational characteristics of each AMC. Healthcare institutions could be different for the typology of services that they offer, their geolocation, the presence/absence of Emergency Departments, the number of employees, and so forth. In this sense, our study aims to investigate and determine which are the possible factors impacting the research productivity of AMCs. We develop a model to assess the academic value of AMCs by taking into account these factors and how they are related to healthcare performance, measured in terms of scientific production (e.g. scientific publications) and impact on the research field (e.g. citations). To face this issue, for each of the public AMCs we collect data about research productivity from bibliographic indexing databases (e.g. Web of Science, PubMed) and we retrieve structural information mainly from their official websites. This work has been partially financed by the research project “Leading Change in Academic Medical Centers”, funded by the competitive call for projects V:ALERE 2019. The project aims to provide evidence, advice, and remarks to help the agents of the public health system to address the many challenges that they face

Home Sweet Home: The Impact of Lifestyle on a Cat’s Approach to Impossible Tasks in the Home Environment

: Cat welfare is a topic of growing interest in the scientific literature. Although previous studies have focused on the effects of living style (i.e., indoor/outdoor) on cat welfare, there has been a noticeable dearth of analysis regarding the impact of lifestyle on cats' inclination and mode of communication with humans. Our research aimed to analyze the possible effect of lifestyle (e.g., living indoors only or indoor/outdoor) on cat-human communication. The cats were tested using the impossible task paradigm test, which consists of some solvable trials in which the subject learns to obtain a reward from an apparatus, followed by an impossible trial through blocking the apparatus. This procedure triggers a violation of expectations and is considered a useful tool for assessing both the decision-making process and the tendency to engage in social behaviors towards humans. A specific ethogram was followed to record the behavioral responses of the cats during the unsolvable trial. Our results show the effects of lifestyle and age on domestic cats, providing valuable insights into the factors that influence their social behaviors. Cats that can roam freely outdoors spent less time interacting with the apparatus compared to indoor-only cats. Additionally, roaming cats showed stress behaviors sooner following the expectancy of violation compared to indoor cats. The lifestyle of cats can influence their problem-solving approach while not affecting their willingness to interact with humans or their overall welfare. Future studies on this topic can be useful for improving the welfare of domestic cats

Expression pattern of nitric oxide synthase during development of the marine gastropod mollusc, Crepidula fornicata

Nitric Oxide (NO) plays a key role in the induction of larval metamorphosis in several invertebrate phyla. The inhibition of the NO synthase in Crepidula fornicata, a molluscan model for evolutionary, developmental, and ecological research, has been demonstrated to block the initiation of metamorphosis highlighting that endogenous NO is crucial in the control of this developmental and morphological process. Nitric Oxide Synthase contributes to the development of shell gland, digestive gland and kidney, being expressed in cells that presumably correspond to FMRF-amide, serotoninergic and catecolaminergic neurons. Here we identified a single Nos gene in embryonic and larval transcriptomes of C. fornicata and studied its localization during development, through whole-mount in situ hybridization, in order to compare its expression pattern with that of other marine invertebrate animal modelsF.C. was supported by a SZN OU PhD fellowship. M.T.-G. was supported by a predoctoral fellowship (Ref. BES-2012-052214 MICINN) and by the short-term stays program EEBB-1-16-11411. C.G. was funded by project no CGL2011-29916. S.D. was funded by the NOEVO SZN projec

Analytical Marketing with Collective Perception

Social networks, forums and blogs are widely considered as a valuable source of information for many applications and in different domains. Being able to extract, analyze and use the knowledge, opinions and sentiments the users share on the Web can become a competitive advantage for any company or organization. Specifically, information about the feelings and the opinions of the users of a Web community with respect to a product or a service can be useful for marketing.  In this context, the concept of collective perception is gaining momentum as a way to process, evaluate and quantify the perception and the sentiment that a community of users share about a given phenomenon. In this work, we propose an approach, based on Fuzzy Logic and Sentiment Analysis techniques, which allows to evaluate, also in a quantitative manner, the collective perception of a Web community with respect to a specific product or service. Keywords: Collective Perception; Analytical Marketing; Fuzzy Logic; Sentiment Analysis