Sheep predation: Charcteristics and risk factors

Predation has always been an important problem in extensive sheep farms, causing serious economic losses to the farmers. Official predation reports have recently been decreasing in the District of Pisa, in spite of the presence of two wolf packs in the area. The aim of the present research was to obtain reliable information on the characteristics of predation and to estimate the effectiveness of existing prevention methods in sheep farms of the southern District of Pisa, in order to set up predictive models for an improved and more focused prevention plan and support interventions by public authorities. On-farm surveys were carried out in 73 semi-extensive sheep farms. Predation events were reported by 75.3% of the farmers. Wolves seemed to be responsible for most of those events, although their actual role could be confirmed only in 34% of cases. Most of the events occurred in spring and 85.1% of them were concentrated during night time. The average number of sheep killed during each attack was 7.05. In 22.3% of cases, the number of sheep killed was ≥10. Proximity to protected areas and the presence of thick vegetation cover significantly affected the probability of a farm being subjected to chronic predation. Farm size was significantly higher in those cases. No clear indication about the effectiveness of prevention methods could be obtained from our survey. The results of this investigation highlighted the impact of predation in the Southern District of Pisa and emphasized the need for finding technical and political solutions to this problem. Attention should be focused on large farms, with thick vegetation cover and located close to protected areas. Further investigations should be carried out in order to test the effectiveness of suitable prevention methods in these farms

Le pecore e il lupo: indagine sul punto di vista degli allevatori nella provincia di Pisa

Aim of the present survey is to focus on the perception of wolf by sheep farmers in the Province of Pisa (Val di Cecina) and to collect their impressions about its presence and suggestions about possible solutions. Furthermore, we tried to evaluate the level of knowledge and the judgment of the farmers about the current regional law. The wolf is perceived as a problem by 86.3% of the farmers, who give him the responsibility for 91% of the reported predation events, in spite of the fact that this was really assessed only in 31% of cases. 72.6% of the farmers do not know the present regional law; however, 61.9% of them state that it should be reviewed. Only 28.6% of the farmers is in favour of a financial support for preventive measures; 42.9% think that wolves should be captured and transolcated far from sheep farms and 49.2% wish that wolves, that are believed to derive from transolcations, are culled. Wolf attacks are seldom officially reported, as compensations are not considered adequate and farmers are obliged to sustain additional costs for carcass destruction; therefore, there is a scarce control of this phenomenon. Active participation, information on prevention methods, awakening of local populations, together with more attention from lawmakers, are essential tools for improving the tolerance and acceptation of the predator and for attenuating the conflict with zootechnical activities. Veterinarians play a key role for spreading these informations

Chronic lymphocytic leukemia cells impair osteoblastogenesis and promote osteoclastogenesis: role of TNF\u3b1, IL-6 and IL-11 cytokines

Bone skeletal alterations are no longer considered a rare event in Chronic Lymphocytic Leukemia (CLL), especially at more advanced stages of the disease. This study is aimed at elucidating the mechanisms underlying this phenomenon. Bone marrow stromal cells, induced to differentiate toward osteoblasts in osteogenic medium, appeared unable to complete their maturation upon co-culture with CLL cells, CLL cells-derived conditioned media (CLL-cm) or CLL-sera (CLL-sr). Inhibition of osteoblast differentiation was documented by decreased levels of RUNX2 and osteocalcin mRNA expression, by increased osteopontin and DKK-1 mRNA levels, and by a marked reduction of mineralized matrix deposition. The addition of neutralizing TNFalpha, IL-11 or anti-IL-6R monoclonal antibodies to these co-cultures resulted into restoration of bone mineralization, indicating the involvement of these cytokines: these findings were further supported by silencing TNFalpha, IL-11 and IL-6 in leukemic cells. We also demonstrated that the addition of CLL-cm to monocytes, previously stimulated with MCSF and RANKL, significantly amplified the formation of large mature osteoclasts as well as their bone resorption activity. Moreover enhanced osteoclastogenesis, induced by CLL-cm, was significantly reduced by treating cultures with the anti-TNFalpha moAb Infliximab; an analogous effect was observed by the use of the BTK inhibitor Ibrutinib. CLL cells, co-cultured with mature osteoclasts, were interestingly protected from apoptosis and upregulated Ki-67. These experimental results parallel the direct correlation between TNFalpha amounts in CLL sera and the degree of compact bone erosion we previously described, further strengthening the indication of a reciprocal influence between leukemic cells expansion and bone structure derangement

Validation of a Novel Three-Dimensional (3D Fusion) Gross Sampling Protocol for Clear Cell Renal Cell Carcinoma to Overcome Intratumoral Heterogeneity: The Meet-Uro 18 Study

76siWe aimed to overcome intratumoral heterogeneity in clear cell renal cell carcinoma (clearRCC). One hundred cases of clearRCC were sampled. First, usual standard sampling was applied (1 block/cm of tumor); second, the whole tumor was sampled, and 0.6 mm cores were taken from each block to construct a tissue microarray; third, the residual tissue, mapped by taking pieces 0.5 × 0.5 cm, reconstructed the entire tumor mass. Precisely, six randomly derived pieces of tissues were placed in each cassette, with the number of cassettes being based on the diameter of the tumor (called multisite 3D fusion). Angiogenic and immune markers were tested. Routine 5231 tissue blocks were obtained. Multisite 3D fusion sections showed pattern A, homogeneous high vascular density (10%), pattern B, homogeneous low vascular density (8%) and pattern C, heterogeneous angiogenic signatures (82%). PD-L1 expression was seen as diffuse (7%), low (33%) and absent (60%). Tumor-infiltrating CD8 scored high in 25% (pattern hot), low in 65% (pattern weak) and zero in 10% of cases (pattern desert). Grading was upgraded in 26% of cases (G3-G4), necrosis and sarcomatoid/rhabdoid characters were observed in, respectively, 11 and 7% of cases after 3D fusion (p = 0.03). CD8 and PD-L1 immune expressions were higher in the undifferentiated G4/rhabdoid/sarcomatoid clearRCC subtypes (p = 0.03). Again, 22% of cases were set to intermediate to high risk of clinical recurrence due to new morphological findings of all aggressive G4, sarcomatoid/rhabdoid features by using 3D fusion compared to standard methods (p = 0.04). In conclusion, we propose an easy-to-apply multisite 3D fusion sampling that negates bias due to tumor heterogeneity.noneBrunelli, Matteo; Martignoni, Guido; Malpeli, Giorgio; Volpe, Alessandro; Cima, Luca; Raspollini, Maria Rosaria; Barbareschi, Mattia; Tafuri, Alessandro; Masi, Giulia; Barzon, Luisa; Ammendola, Serena; Villanova, Manuela; Cerruto, Maria Angela; Milella, Michele; Buti, Sebastiano; Bersanelli, Melissa; Fornarini, Giuseppe; Rebuzzi, Sara Elena; Vellone, Valerio Gaetano; Gaggero, Gabriele; Procopio, Giuseppe; Verzoni, Elena; Bracarda, Sergio; Fanelli, Martina; Sabbatini, Roberto; Passalacqua, Rodolfo; Perrucci, Bruno; Giganti, Maria Olga; Donini, Maddalena; Panni, Stefano; Tucci, Marcello; Prati, Veronica; Ortega, Cinzia; Caliò, Anna; Eccher, Albino; Alongi, Filippo; Pappagallo, Giovanni; Iacovelli, Roberto; Mosca, Alessandra; Umari, Paolo; Montagnani, Ilaria; Gobbo, Stefano; Atzori, Francesco; Munari, Enrico; Maruzzo, Marco; Basso, Umberto; Pierconti, Francesco; Patriarca, Carlo; Colombo, Piergiuseppe; Lapini, Alberto; Conti, Giario; Salvioni, Roberto; Bollito, Enrico; Cossarizza, Andrea; Massari, Francesco; Rizzo, Mimma; Franco, Renato; Zito-Marino, Federica; Aberasturi Plata, Yoseba; Galuppini, Francesca; Sbaraglia, Marta; Fassan, Matteo; Dei Tos, Angelo Paolo; Colecchia, Maurizio; Moch, Holger; Scaltriti, Maurizio; Porta, Camillo; Delahunt, Brett; Giannarini, Gianluca; Bortolus, Roberto; Rescigno, Pasquale; Banna, Giuseppe Luigi; Signori, Alessio; Obispo, Miguel Angel Llaja; Perris, Roberto; Antonelli, AlessandroBrunelli, Matteo; Martignoni, Guido; Malpeli, Giorgio; Volpe, Alessandro; Cima, Luca; Raspollini, Maria Rosaria; Barbareschi, Mattia; Tafuri, Alessandro; Masi, Giulia; Barzon, Luisa; Ammendola, Serena; Villanova, Manuela; Cerruto, Maria Angela; Milella, Michele; Buti, Sebastiano; Bersanelli, Melissa; Fornarini, Giuseppe; Rebuzzi, Sara Elena; Vellone, Valerio Gaetano; Gaggero, Gabriele; Procopio, Giuseppe; Verzoni, Elena; Bracarda, Sergio; Fanelli, Martina; Sabbatini, Roberto; Passalacqua, Rodolfo; Perrucci, Bruno; Giganti, Maria Olga; Donini, Maddalena; Panni, Stefano; Tucci, Marcello; Prati, Veronica; Ortega, Cinzia; Caliò, Anna; Eccher, Albino; Alongi, Filippo; Pappagallo, Giovanni; Iacovelli, Roberto; Mosca, Alessandra; Umari, Paolo; Montagnani, Ilaria; Gobbo, Stefano; Atzori, Francesco; Munari, Enrico; Maruzzo, Marco; Basso, Umberto; Pierconti, Francesco; Patriarca, Carlo; Colombo, Piergiuseppe; Lapini, Alberto; Conti, Giario; Salvioni, Roberto; Bollito, Enrico; Cossarizza, Andrea; Massari, Francesco; Rizzo, Mimma; Franco, Renato; Zito-Marino, Federica; Aberasturi Plata, Yoseba; Galuppini, Francesca; Sbaraglia, Marta; Fassan, Matteo; Dei Tos, Angelo Paolo; Colecchia, Maurizio; Moch, Holger; Scaltriti, Maurizio; Porta, Camillo; Delahunt, Brett; Giannarini, Gianluca; Bortolus, Roberto; Rescigno, Pasquale; Banna, Giuseppe Luigi; Signori, Alessio; Obispo, Miguel Angel Llaja; Perris, Roberto; Antonelli, Alessandr

Validation of a Novel Three-Dimensional (3D Fusion) Gross Sampling Protocol for Clear Cell Renal Cell Carcinoma to Overcome Intratumoral Heterogeneity: The Meet-Uro 18 Study

We aimed to overcome intratumoral heterogeneity in clear cell renal cell carcinoma (clearRCC). One hundred cases of clearRCC were sampled. First, usual standard sampling was applied (1 block/cm of tumor); second, the whole tumor was sampled, and 0.6 mm cores were taken from each block to construct a tissue microarray; third, the residual tissue, mapped by taking pieces 0.5 × 0.5 cm, reconstructed the entire tumor mass. Precisely, six randomly derived pieces of tissues were placed in each cassette, with the number of cassettes being based on the diameter of the tumor (called multisite 3D fusion). Angiogenic and immune markers were tested. Routine 5231 tissue blocks were obtained. Multisite 3D fusion sections showed pattern A, homogeneous high vascular density (10%), pattern B, homogeneous low vascular density (8%) and pattern C, heterogeneous angiogenic signatures (82%). PD-L1 expression was seen as diffuse (7%), low (33%) and absent (60%). Tumor-infiltrating CD8 scored high in 25% (pattern hot), low in 65% (pattern weak) and zero in 10% of cases (pattern desert). Grading was upgraded in 26% of cases (G3-G4), necrosis and sarcomatoid/rhabdoid characters were observed in, respectively, 11 and 7% of cases after 3D fusion (p = 0.03). CD8 and PD-L1 immune expressions were higher in the undifferentiated G4/rhabdoid/sarcomatoid clearRCC subtypes (p = 0.03). Again, 22% of cases were set to intermediate to high risk of clinical recurrence due to new morphological findings of all aggressive G4, sarcomatoid/rhabdoid features by using 3D fusion compared to standard methods (p = 0.04). In conclusion, we propose an easy-to-apply multisite 3D fusion sampling that negates bias due to tumor heterogeneity

Chasing Gravitational Waves with the Chereknov Telescope Array

Presented at the 38th International Cosmic Ray Conference (ICRC 2023), 2023 (arXiv:2309.08219)2310.07413International audienceThe detection of gravitational waves from a binary neutron star merger by Advanced LIGO and Advanced Virgo (GW170817), along with the discovery of the electromagnetic counterparts of this gravitational wave event, ushered in a new era of multimessenger astronomy, providing the first direct evidence that BNS mergers are progenitors of short gamma-ray bursts (GRBs). Such events may also produce very-high-energy (VHE, > 100GeV) photons which have yet to be detected in coincidence with a gravitational wave signal. The Cherenkov Telescope Array (CTA) is a next-generation VHE observatory which aims to be indispensable in this search, with an unparalleled sensitivity and ability to slew anywhere on the sky within a few tens of seconds. New observing modes and follow-up strategies are being developed for CTA to rapidly cover localization areas of gravitational wave events that are typically larger than the CTA field of view. This work will evaluate and provide estimations on the expected number of of gravitational wave events that will be observable with CTA, considering both on- and off-axis emission. In addition, we will present and discuss the prospects of potential follow-up strategies with CTA

Sensitivity of the Cherenkov Telescope Array to the gamma-ray emission from neutrino sources detected by IceCube

Gamma-ray observations of the astrophysical neutrino sources are fundamentally important for understanding the underlying neutrino production mechanism. We investigate the Cherenkov Telescope Array (CTA) ability to detect the very-high-energy (VHE) gamma-ray counterparts to the neutrino-emitting Active Galaxies. The CTA performance under different configurations and array layouts is computed based on the neutrino and gamma-ray simulations of steady and transient types of sources, assuming that the neutrino events are detected with the IceCube neutrino telescope. The CTA detection probability is calculated for both CTA sites taking into account the visibility constraints. We find that, under optimal observing conditions, CTA could observe the VHE gamma-ray emission from at least 3 neutrino events per year

Chasing Gravitational Waves with the Chereknov Telescope Array

Presented at the 38th International Cosmic Ray Conference (ICRC 2023), 2023 (arXiv:2309.08219)2310.07413International audienceThe detection of gravitational waves from a binary neutron star merger by Advanced LIGO and Advanced Virgo (GW170817), along with the discovery of the electromagnetic counterparts of this gravitational wave event, ushered in a new era of multimessenger astronomy, providing the first direct evidence that BNS mergers are progenitors of short gamma-ray bursts (GRBs). Such events may also produce very-high-energy (VHE, > 100GeV) photons which have yet to be detected in coincidence with a gravitational wave signal. The Cherenkov Telescope Array (CTA) is a next-generation VHE observatory which aims to be indispensable in this search, with an unparalleled sensitivity and ability to slew anywhere on the sky within a few tens of seconds. New observing modes and follow-up strategies are being developed for CTA to rapidly cover localization areas of gravitational wave events that are typically larger than the CTA field of view. This work will evaluate and provide estimations on the expected number of of gravitational wave events that will be observable with CTA, considering both on- and off-axis emission. In addition, we will present and discuss the prospects of potential follow-up strategies with CTA

Interpolation of Instrument Response Functions for the Cherenkov Telescope Array in the Context of pyirf

The Cherenkov Telescope Array (CTA) will be the next generation ground-basedvery-high-energy gamma-ray observatory, constituted by tens of Imaging AtmosphericCherenkov Telescopes at two sites once its construction and commissioning are finished. Like its predecessors, CTA relies on Instrument Response Functions (IRFs) to relate the observed and reconstructed properties to the true ones of the primary gamma-ray photons. IRFs are needed for the proper reconstruction of spectral and spatial information of the observed sources and are thus among the data products issued to the observatory users. They are derived from Monte Carlo simulations, depend on observation conditions likethe telescope pointing direction or the atmospheric transparency and can evolve with time as hardware ages or is replaced. Producing a complete set of IRFs from simulations for every observation taken is a time-consuming task and not feasible when releasing data products on short timescales. Consequently, interpolation techniques on simulated IRFs are investigated to quickly estimate IRFs for specific observation conditions. However, as some of the IRFs constituents are given as probability distributions, specialized methods are needed. This contribution summarizes and compares the feasibility of multiple approaches to interpolate IRF components in the context of the pyirf python software package and IRFs simulated for the Large-Sized Telescope prototype (LST-1). We will also give an overview of the current functionalities implemented in pyirf