1. Editorial: Philosophy and Geography

After “Erasmian Science” and “Gastronomy and Revolution”, the Journal of Interdisciplinary History of Ideas has again issued a Call for Paper, for a special issue dedicated to the historical relations of Philosophy and Geography. It will be guest-edited by Ernesto Sferrazza Papa and Simone Mammola, and appear end 2017. In the Editorial we present the contents of the Call, that can also be found, together with practical information for submission, in the News of the JIHI

Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images

Uncontrolled wildfires are dangerous events capable of harming people safety. To contrast their increasing impact in recent years, a key task is an accurate detection of the affected areas and their damage assessment from satellite images. Current state-of-the-art solutions address such problem through a double convolutional neural network able to automatically detect wildfires in satellite acquisitions and associate a damage index from a defined scale. However, such deep-learning model performance is strongly dependent on many factors. In this work, we specifically focus on a key parameter, i.e., the loss function, exploited in the underlying neural networks. Besides the state-of-the-art solutions based on the Dice-MSE, among the many loss functions proposed in literature, we focus on the Binary Cross-Entropy (BCE) and the Intersection over Union (IoU), as two representatives of the distribution-based and region-based categories, respectively. Experiments show that the BCE loss function coupled with a double-step U-Net architecture provides better results than current state-of-the-art solutions on a public labeled dataset of European wildfires

Subfossil tooth of a dwarf Hippopotamus (Mammalia, Artiodactyla) from the Holocene of the Berivotra ouctrops (Mahajanga Basin, NW Madagascar), with remarks on the distribution of the genus in the island

We report the presence of subfossil dwarf hippopotamuses from the neighbourhood of Berivotra (Mahajanga Basin, NW Madagascar), based on an isolated premolar of Hippopotamus, tentatively referred to H. madagascariensis Guldberg, 1882 or H. lemerlei Grandidier, 1868, two of the three species of the genus known in the Malagasy fossil record. Dwarf hippopotamuses from Madagascar are Holocenic, concentrated on the central upland and near the SW coast, with the exception of a single site on the East coast. Their presence and distribution in the N is poorly documented. The new finding, in a locality about 50 km E-SE to the city of Mahajanga, represents the innermost fossil site respect to the present coast line from the NW of the island, and increases the areal distribution of the genus in the Mahajanga Province

Double-Step deep learning framework to improve wildfire severity classification

Wildfires are dangerous events which cause huge losses under natural, humanitarian and economical perspectives. To contrast their impact, a fast and accurate restoration can be improved through the automatic census of the event in terms of (i) delin- eation of the affected areas and (ii) estimation of damage severity, using satellite images. This work proposes to extend the state- of-the-art approach, named Double-Step U-Net (DS-UNet), able to automatically detect wildfires in satellite acquisitions and to associate a damage index from a defined scale. As a deep learning network, the DS-UNet model performance is strongly dependent on many factors. We propose to focus on alternatives in its main architecture by designing a configurable Double-Step Framework, which allows inspecting the prediction quality with different loss-functions and convolutional neural networks used as backbones. Experimental results show that the proposed framework yields better performance with up to 6.1% lower RMSE than current state of the art

Visible light 3D printing with epoxidized vegetable oils

Stereolithography is a 3D printing technique in which a liquid monomer is photopolymerized to produce a solid object. The most widely used materials usually belong to the family of acrylate monomers, and photopolymerization occurs through a radical pathway. Photoinitiators can absorb UV or (less often) visible light, producing radicals for direct decomposition or hydrogen abstraction. Due to the toxicity of acrylates, vegetable oil-derived monomers were used in this study. In fact, vegetable oils contain unsaturations, and thus, they can be exploited as monomers. In particular, linseed oil, tung oil or edible oils (soybean, sunflower or corn) could be good candidates as raw materials. Unfortunately, the photoinduced radical polymerization of these oils either does not occur or is too slow for 3D printing applications. For this reason, the oils were modified as epoxides. Epoxides are monomers that are more reactive than natural oils, and they can be polymerized via a cationic mechanism. The aim of this work was to exploit visible light generated by a common digital projector (like those used in classrooms) as a light source. Since the tested photoacid generators working under visible light are ineffective for the polymerization of epoxidized oils, a multi-component photo-initiating mixture was used

Smad2 and Smad6 as predictors of overall survival in oral squamous cell carcinoma patients

Background: To test if the expression of Smad1-8 mRNAs were predictive of survival in patients with oral squamous cell carcinoma (SCC). Patients and Methods: We analyzed, prospectively, the expression of Smad1-8, by means of Ribonuclease Protection Assay in 48 primary, operable, oral SCC. In addition, 21 larynx, 10 oropharynx and 4 hypopharynx SCC and 65 matched adjacent mucosa, available for study, were also included. For survival analysis, patients were categorized as positive or negative for each Smad, according to median mRNA expression. We also performed real-time quantitative PCR (QRTPCR) to asses the pattern of TGF beta 1, TGF beta 2, TGF beta 3 in oral SCC. Results: Our results showed that Smad2 and Smad6 mRNA expression were both associated with survival in Oral SCC patients. Cox Multivariate analysis revealed that Smad6 positivity and Smad2 negativity were both predictive of good prognosis for oral SCC patients, independent of lymph nodal status (P = 0.003 and P = 0.029, respectively). In addition, simultaneously Smad2(-) and Smad6(+) oral SCC group of patients did not reach median overall survival (mOS) whereas the mOS of Smad2(+)/Smad6(-) subgroup was 11.6 months (P = 0.004, univariate analysis). Regarding to TGF beta isoforms, we found that Smad2 mRNA and TGF beta 1 mRNA were inversely correlated (p = 0.05, R = -0.33), and that seven of the eight TGF beta 1(+) patients were Smad2(-). In larynx SCC, Smad7(-) patients did not reach mOS whereas mOS of Smad7(+) patients were only 7.0 months (P = 0.04). No other correlations were found among Smad expression, clinico-pathological characteristics and survival in oral, larynx, hypopharynx, oropharynx or the entire head and neck SCC population. Conclusion: Smad6 together with Smad2 may be prognostic factors, independent of nodal status in oral SCC after curative resection. The underlying mechanism which involves aberrant TGF beta signaling should be better clarified in the future.FAPESP[02/01738-9]CNP

TERT Promoter Mutations are Associated with Visceral Spreading in Melanoma of the Trunk

Survival predictions are currently determined on the basis of NRAS/BRAF mutations, even though TERT promoter mutations have been recently associated with a poor prognosis in stage I-II melanomas. Usually, it is not recommended to perform a mutational test on primary melanoma, as the results do not always reflect the mutational status of metastases. In particular, trunk melanomas have been reported to have an unfavourable prognosis. A series of 105 advanced melanoma patients were analysed by TERT promoter Sanger sequencing. Univariate/multivariate binary logistic regression models were performed using progression to a visceral site as the dependent variable and patient/tumour characteristics as covariates. Performance of the model was assessed in an external independent primary melanoma patients' dataset. Male gender (odds ratio (OR), 344; 95% CI, 1.12⁻10.6; p = 0.031), AJCC (American Joint Committee on Cancer) classification (OR, 022; 95% CI, 0.07⁻0.67; p = 0.008), SLNB (Sentinel Lymph Node Biopsy) status (OR, 3.05; 95% CI, 1.06⁻8.78; p = 0.039) and TERT-mutated trunk lesions (OR, 3.78; 95% CI, 1.35⁻10.6; p = 0.011) were significantly associated with the risk of developing a visceral spreading as first site of progression using multivariate logistic regression analysis. These results were confirmed in the external validation control group. Therefore, in trunk primary melanomas, due to their high risk of progression to visceral sites, we encourage somatic TERT mutation analysis at diagnosis to identify those patients who would potentially benefit from a more intensive follow-up protocol and a prompt initiation of therapy

Unleashing the flexibility of gas: innovating gas systems to meet the electricity system's flexibility requirements

The energy system is a complex network of physical infrastructure and markets interacting closely with one another. Within this network, the gas and electricity systems have become the backbone of modern energy production. Both systems are closely interconnected due to the vast deployment of efficient combined-cycle gas turbines (CCGTs) over the first decade of the 2000s, mainly in Organization for Economic Cooperation and Development countries. This increased interdependence and rapid penetration of variable renewable energy sources (varRE) make the gas-electricity nexus a primary concern and opportunity for energy system flexibility