Distribution and Social Structure of an Estuarine Bottlenose Dolphin (Tursiops truncatus) Population in Northern South Carolina

Information regarding habitat preference of apex predators may pinpoint areas dense in resources such as prey species. Knowledge of how animals use their habitat can enable the classification and targeted management of important habitat features. This study was conducted to determine the distribution and social structure of an inshore population of bottlenose dolphins within the North Inlet-Winyah Bay estuary in northern South Carolina. Photo-identification surveys were conducted along defined transect routes. Home ranges of individual dolphins were calculated using the minimum convex polygon method and the fixed kernel density method using Geographic Information System (GIS) software. Mean group sizes and coefficients of association were compared between warm and cold seasons. Coefficients of association were calculated using the half weight index. Additionally, these same social parameters were compared between dolphins using only North Inlet, those using only Winyah Bay, and those using both systems. Surveys were performed during the warm months (221 hours of survey time from May through October) and during the cold season (52 hours of survey time from December through February). The 2011-2012 population estimate for the North Inlet-Wnyah Bay population was 84, and fewer dolphins were present in the North Inlet-Winyah Bay estuary during the cold months than during the warm months. The majority of the dolphins in this study used both North Inlet and Winyah Bay. However, three individuals were sighted only in North Inlet, and 38 individuals were sighted only in Winyah Bay. Group sizes were larger in the warm season than the cold season. Dolphins that had at least 10 independent sightings associated non-randomly, and individuals in the population formed distinct communities with overlapping ranges. The mean coefficient of association was 0.24 for all dolphins with at least 10 sightings, and the associations were weaker than in most other studied populations. However, when determining mean coefficients of association within North Inlet transects (0.48) and Winyah Bay transects (0.34), the associations were similar those observed in other studies. The mean home range was 32.79 km². Home ranges were larger in the warm season than the cold season. While the kernel density method, compared to the Minimum Convex Polygon method, seems to more accurately estimate the home range of dolphins in open water systems, the small creeks in North Inlet coupled with the clipping feature in ArcGIS make the minimum convex polygon method just as accurate because dolphins had limited travel routes within the creeks

La vegetazione dell\u2019istituenda Riserva Naturale \u201cOasi di Lacchiarella\u201d (Parco Agricolo Sud Milano).

\uc8 stata studiata dal punto di vista fitosociologico la vegetazione della Riserva naturale Oasi di Lacchiarella. Sono state individuate 34 cenosi vegetali, ascrivibili a 12 classi fitosociologiche: Lemnetea, Potametea, Phragmiti-Magnocaricetea, Bidentetea tripartiti, Stellarietea mediae, Oryzetea sativae, Molinio- Arrhenatheretea,Galio-Urticetea, Alnetea glutinosae, Salicetea purpureae, Rhamno-Prunetea e Querco-Fagetea. Il grado di naturalit\ue0 e il valore floristico-vegetazionale \ue8 nel complesso basso, anche nelle formazioni boschive. Le cenosi si dispongono secondo un gradiente ecologico di umidit\ue0, caratterizzato da un progressivo svincolamento dalla falda. Le cenosi di piante infestanti o ruderali seguono una propria linea dinamico-evolutiva, pressoch\ue9 indipendente da quella di interramento dei corsi d\u2019acqua; entrambe comunque convergono verso le formazioni boschive

Deep transfer learning for machine diagnosis: From sound and music recognition to bearing fault detection

Today’s deep learning strategies require ever‐increasing computational efforts and demand for very large amounts of labelled data. Providing such expensive resources for machine diagnosis is highly challenging. Transfer learning recently emerged as a valuable approach to address these issues. Thus, the knowledge learned by deep architectures in different scenarios can be reused for the purpose of machine diagnosis, minimizing data collecting efforts. Existing research provides evidence that networks pre‐trained for image recognition can classify machine vibrations in the time‐frequency domain by means of transfer learning. So far, however, there has been little discussion about the potentials included in networks pre‐trained for sound recognition, which are inherently suited for time‐frequency tasks. This work argues that deep architectures trained for music recognition and sound detection can perform machine diagnosis. The YAMNet convolutional network was designed to serve extremely efficient mobile applications for sound detection, and it was originally trained on millions of data extracted from YouTube clips. That framework is employed to detect bearing faults for the CWRU dataset. It is shown that transferring knowledge from sound and music recognition to bearing fault detection is successful. The maximum accuracy is achieved using a few hundred data for fine‐tuning the fault diagnosis model

The primordial environment of super massive black holes: large scale galaxy overdensities around z∼6z\sim6 QSOs with LBT

We investigated the presence of galaxy overdensities around four $z\sim6$ QSOs, namely SDSS J1030+0524 (z = 6.28), SDSS J1148+5251 (z = 6.41), SDSS J1048+4637 (z = 6.20) and SDSS J1411+1217 (z = 5.95), through deep $r$-, $i$- and $z$- band imaging obtained with the wide-field ($\sim23'\times25'$) Large Binocular Camera (LBC) at the Large Binocular Telescope (LBT). We adopted color-color selections within the $i-z$ vs $r-z$ plane to identify samples of $i$-band dropouts at the QSO redshift and measure their relative abundance and spatial distribution in the four LBC fields, each covering $\sim8\times8$ physical Mpc at $z\sim6$. The same selection criteria were then applied to $z$-band selected sources in the $\sim$1 deg$^2$ Subaru-XMM Newton Deep Survey to derive the expected number of dropouts over a blank LBC-sized field ($\sim$0.14 deg$^2$). The four observed QSO fields host a number of candidates larger than what is expected in a blank field. By defining as $i$-band dropouts objects with $z_{AB}1.4$ and undetected in the $r$-band, we found 16, 10, 9, 12 dropouts in SDSS J1030+0524, SDSS J1148+5251, SDSS J1048+4637, and SDSS J1411+1217, respectively, whereas only 4.3 such objects are expected over a 0.14 deg$^2$ blank field. This corresponds to overdensity significances of 3.3, 1.9, 1.7, 2.5$\sigma$, respectively. By considering the total number of dropouts in the four LBC fields and comparing it with what is expected in four blank fields of 0.14 deg$^2$ each, we find that high-z QSOs reside in overdense environments at the $3.7\sigma$ level. This is the first direct and unambiguous measurement of the large scale structures around $z\sim6$ QSOs. [shortened]Comment: 12 pages, 8 figures. Accepted for publication in A&

How to promote vaccinations: a pilot study in the North-West of Italy

Background: vaccines are one of the greatest medical discoveries. In various countries, pharmacists are authorised to administer vaccines directly in pharmacies; thus, leading to an increase in the immunisation rate and a notable gain in consensus amongst the population. The main objective was to evaluate the opinion of pharmacy customers regarding the proposal to authorise pharmacies to administer vaccines. Results: 85% of the respondents were in favour of the introduction of a vaccinating pharmacist. The data show more positive attitudes to the introduction of this service amongst subjects with an elderly dependant relative (PR = 1,10; p = 0.025). Furthermore, it can be noticed a higher probability of positive attitudes to the establishment of the vaccinating pharmacist amongst those with positive attitudes to vaccines (PR = 1,15; p = 0.039). Moreover, the pharmacist is seen as a reference on the subject of vaccines by only 8% of interviewees. Discussion: The data highlight the particularly positive feedback regarding the subject of pharmacists being authorised to administer vaccines. This service may, however, encounter obstacles such as economic problems and opposition from other health professionals. Materials and methods: Data were gathered through a face-to-face interview by means of questionnaires in eight pharmacies in the north-west of Piedmont (Italy). Descriptive statistics were performed. The comparison between the proportions and average values was performed by χ2 and t-test. The indicator used for the associations was the Prevalence Ratio (PR). The PR was calculated using a modified Poisson regression with robust standard errors. The level of significance was fixed at 0.05; IC at 95%

Cannabis for Medical Use: Analysis of Recent Clinical Trials in View of Current Legislation

Cannabis has long been regarded as a recreational substance in the Western world. The recent marketing authorization of some medicinal products of industrial origin and the introduction onto the market of inflorescences for medical use mean that medical doctors can now prescribe Cannabis-based medicines in those countries which allow it. Nevertheless, there is still considerable controversy on this topic in the scientific community. In particular, this controversy concerns: the plant species to be used; the pathologies that can be treated and consequently the efficacy and safety of use; the routes of administration; the methods of preparation; the type and dosage of cannabinoids to be used; and, the active molecules of interest. As such, although medical Cannabis has been historically used, the results of currently completed and internationally published studies are inconclusive and often discordant. In light of these considerations, the aim of this work is to analyse the current legislation in countries that allow the use of medical Cannabis, in relation to the impact that this legislation has had on clinical trials. First of all, a literature search has been performed (PubMed and SciFinder) on clinical trials which involved the administration of Cannabis for medical use over the last 3 years. Of the numerous studies extrapolated from the literature, only about 43 reported data on clinical trials on medical Cannabis, with these mainly being performed in Australia, Brazil, Canada, Denmark, Germany, Israel, Netherlands, Switzerland, the United Kingdom and the United States of America. Once the reference countries were identified, an evaluation of the legislation in relation to Cannabis for medical use in each was carried out via the consultation of the pertinent scientific literature, but also of official government documentation and that of local regulatory authorities. This analysis provided us with an overview of the different legislation in these countries and, consequently, allowed us to analyse, with greater awareness, the results of the clinical trials published in the last 3 years in order to obtain general interest indications in the prosecution of scientific research in this area

XMM-Newton observations of Extremely Red Objects and the link with luminous, X-ray obscured Quasars

We present the results of a deep (about 80 ks) XMM-Newton survey of the largest sample of near-infrared selected Extremely Red Objects (R-K>5) available to date to K_S< 19.2. At the relatively bright X-ray fluxes (F_{2-10 keV}> 4x10^{-15} cgs) and near-infrared magnitude probed by the present observations, the fraction of AGN (i.e., X-ray detected) among the ERO population is small (~3.5%); conversely, the fraction of EROs among hard X-ray selected sources is much higher (~20%). The X-ray properties of EROs detected in our XMM-Newton observation indicate absorption in excess of 10^{22} cm^{-2} in a large fraction of them. We have also considered additional samples of X-ray detected EROs available in the literature. X-ray spectral analysis of the highest S/N sources unambiguously indicates that large columns of cold gas (even >10^{23} cm^{-2}) are the rule rather than the exception. The X-ray, optical, and near-infrared properties of those X-ray selected EROs with a spectroscopic or photometric redshift nicely match those expected for quasars 2, the high-luminosity, high-redshift obscured AGNs predicted in baseline XRB synthesis models. A close correlation is detected between X- and K-band fluxes. For the AGN EROs this is consistent, under reasonable assumptions, with the relation established locally between the host galaxies and their central black holes. This suggest that the majority of EROs are powered by massive black holes accreting, on average, at about 0.03-0.1 of the Eddington limit.Comment: 33 pages, 10 figures, to appear in A&

Six freshwater microturbellarian species (Platyhelminthes) in permanent wetlands of the Coastal plain of southern Brazil: new records, abundance, and distribution

Microturbellarians occur in a wide range of ecosystems, but their diversity and distribution are largely unknown. In this work, we report on the morphology, abundance, and distribution of 6 species of microturbellarians, namely Baicalellia evelinae, Catenula evelinae, C. leuca, C. turgida, Gieysztoria chiqchi, and Stenostomum hemisphericum. We provide photographs and schematic drawings of the specimens in vivo. Three of them were known only for their type localities. Most species showed low to moderate abundance and were found in a single wetland in this study. Gieysztoria chiqchi is reported from Brazil for the first time. All records extend the ranges of the species at least 800 km to the southeast.Facultad de Ciencias Naturales y Muse