SFM-MVS photogrammetry for rockfall analysis and hazard assessment along the ancient roman via Flaminia road at the Furlo gorge (Italy)

Rockfall events represent significant hazards for areas characterized by high and steep slopes and therefore effective mitigation controls are essential to control their effect. There are a lot of examples all over the world of anthropic areas at risk because of their proximity to a rock slope. A rockfall runout analysis is a typical 3D problem, but for many years, because of the lack of specific software, powerful computers, and economic reasons, a 2D approach was normally adopted. However, in recent years the use of 3D software has become quite widespread and different runout working approaches have been developed. The contribution and potential use of photogrammetry in this context is undoubtedly great. This paper describes the application of a 3D hybrid working approach, which considers the integrated use of traditional geological methods, Terrestrial Laser Scanning, and drone based Digital Photogrammetry. Such approach was undertaken in order to perform the study of rockfall runout and geological hazard in a natural slope in Italy in correspondence of an archaeological area. Results show the rockfall hazard in the study area and highlights the importance of using photogrammetry for the correct and complete geometrical reconstruction of slope, joints, and block geometries, which is essential for the analysis and design of proper remediation measures

A Boolean Approach to Linear Prediction for Signaling Network Modeling

The task of the DREAM4 (Dialogue for Reverse Engineering Assessments and Methods) “Predictive signaling network modeling” challenge was to develop a method that, from single-stimulus/inhibitor data, reconstructs a cause-effect network to be used to predict the protein activity level in multi-stimulus/inhibitor experimental conditions. The method presented in this paper, one of the best performing in this challenge, consists of 3 steps: 1. Boolean tables are inferred from single-stimulus/inhibitor data to classify whether a particular combination of stimulus and inhibitor is affecting the protein. 2. A cause-effect network is reconstructed starting from these tables. 3. Training data are linearly combined according to rules inferred from the reconstructed network. This method, although simple, permits one to achieve a good performance providing reasonable predictions based on a reconstructed network compatible with knowledge from the literature. It can be potentially used to predict how signaling pathways are affected by different ligands and how this response is altered by diseases

Interspecific and Intraspecific Artificial Insemination in Domestic Equids

Simple Summary Among equids, the mule (jackass stallion x mare) is the most common hybrid, followed by the hinny (horse stallion x jenny). This study describes the outcome of inseminating mares and jennies with either fresh horse or donkey semen of proven fertility. Pregnancy rates in horse females were significantly higher than in donkey females, while horse and donkey males did not affect pregnancy rates. Overall, intraspecific pregnancy rates were significantly higher than interspecific ones. Horses and donkeys differ phenotypically and karyotypically, although they can interbreed freely. Eight Standardbred mares and nine Amiata donkey jennies were included in the study. Semen was collected from two horses and two donkey stallions of proven fertility. A first pregnancy diagnosis was performed on day 10 after ovulation and repeated every day until embryo detection or until day 16. Irrespectively of the sire species, pregnancy rates in horse females (20/30, 66.7%) were significantly higher than in donkey females (19/70, 27.1%) (p < 0.05), while horse and donkey males did not affect pregnancy rates. Comparing overall intraspecific and interspecific AI, pregnancy rates were 25/37 (67.6%) and 14/63 (22.2%), respectively (p = 0.0001). The lowest pregnancy rate was obtained when inseminating jennies with horse stallion semen (8/49, 16.3%). No statistical differences were found when comparing embryo diameters, day at first pregnancy diagnosis, or in vitro embryo morphological quality among groups. In this study, much poorer results were obtained with jennies than with mares. Interspecific AI resulted in lower pregnancy rates than intraspecific Al, and AI to produce hinny hybrids resulted in the lowest pregnancy rate. Further studies are required to better understand the mechanism involved in such different outcomes in relation to intra- and interspecific breeding in domestic equids

New simplified protocols for timed artificial insemination (TAI) in milk-producing donkeys

This study compared the outcome of two new timed artificial insemination (TAI) protocols in a milk-producing donkey farm. Ninety Amiata jennies were inseminated at the moment of ovulation induction with hCG, with fresh-transported semen that had been stored at room temperature from 3 up to 6 h, with an approximate average storage time of 4 h and a half. In both protocols, on Day 0 jennies were treated with alfaprostol (PGF2α), and on Day 7 they were checked by ultrasound (US) and, if in estrus, they were treated in order to induce ovulation and were then artificially inseminated. In the slow-short TAI protocol, jennies not already inseminated were treated again with PGF2α at Day 14. On day 21 US was repeated and estrus jennies were induced to ovulate and inseminated. In the fast-long TAI protocol, US was performed once a week in jennies not already inseminated and if found in estrus, they were induced to ovulate and inseminated, while those not in estrus were treated again with PGF2α. This protocol was repeated for up to nine weeks. The rates of inseminated/treated, pregnant/inseminated and pregnant/treated jennies were 76%, 56% and 43% for the slow-short TAI protocol and 94%, 47% and 44% for the fast-long TAI protocol. The age class and the lactation status of the jennies had no significant effect on synchronization success or final pregnancy rate. This study demonstrates that it is possible to achieve reasonable pregnancy rates through simplified TAI protocols in jennies, reducing animal handling to a minimum

Dental pulp stem cells bioadhesivity: evaluation on mineral-trioxide-aggregate.

Stem cells are undifferentiated cells that have the capacity to self-renew. They have been discovered in many adult tissues, including teeth. Dental Pulp Mesenchymal Stem Cells (DP-MSCs) are involved in dental repair by activation of growth factors, released after caries and have the ability to regenerate a dentin-pulp-like complex. The molecular/cellular research gives the possibility to grow new tissues and biological structures for clinical applications, providing cells for therapies including cell transplantation and tissue engineering. In this study DP-MSCs were derived from dental pulp of 10 donors. To evaluate material toxicity, after in vitro isolation, the cells were seeded on mineral trioxide aggregate (MTA). Initial light microscopy investigation of cells revealed no signs of cell death due to toxicity or infection, on the contrary the scaffolds supplied an excellent support for cell structures, the cells proliferated and adhered to substrate. Similar observation was seen in scanning electron microscopy, in particular the cells had proliferated and spread, covering a considerable part of the surface of the biomaterials investigated, with an elaborate form of attachment, in fact, the cells formed a continuous layer on the upper surface of the MTA. In conclusion, the aim of this study is to demonstrate that DP-MSCs combined with MTA could be a potential source for regenerative medicine, encouraging further study to evaluate the new-dentin formation

Impact of gefitinib ('Iressa') treatment on the quality of life of patients with advanced non-small-cell lung cancer

Purpose: Patients with advanced non-small-cell lung cancer (NSCLC) have a short life expectancy; therefore, in addition to increasing their survival, improving their quality of life (QoL) is also an important treatment goal. Methods: We evaluated the QoL of patients with advanced NSCLC who were unfit to receive chemotherapy, failed to respond or progress following prior chemotherapy, who received subsequent treatment with gefitinib ('Iressa') on a compassionate use basis, using a standard QoL questionnaire, (EORTC) QLQ-C30 and the related lung cancer-specific module QLQ-LC13. Results: Analysis of the functional scales showed a trend towards improvement for role, emotional and cognitive scales, while a substantial stability was seen for general QoL scale. Analysis of the symptoms scales of QLQ-C30, showed a trend towards improvement for fatigue, dyspnoea, insomnia, and constipation, after one month of therapy. Fifty-six of the 57 patients were considered evaluable for response. One patient evidenced a partial response (patient is still on response), 29 patients had stable disease for a median duration of 5 months (range 4-7 months), and 26 patients progressed. Conclusions: After treatment with Gefitinib, we observed maintenance of QoL in a group of patients with poor prognosis that would be expected to have a worsening QoL. Furthermore important symptoms like dyspnoea fatigue and pain in other parts, that usually afflict patients with NSCLC, showed a trend toward improvement after only one month of therapy