POSSIBLE FUTURE SCENARIOS FOR SICILIAN CEREAL CROPPING IN THE LIGHT OF CURRENT TRENDS IN AGRICULTURAL POLICY OF THE EUROPEAN UNION

This paper sets out the results of a research project carried out by the University of Palermo and financed by the Sicilian Region, which aims to establish the impact of the Fischler Reform on Sicilian agriculture, and to project future scenarios that take into account some of the changes that the production process may undergo in the Region, following both the application of the Reform itself (now in force) and the eventual application of indications contained in the Health check. The impacts of the Fischler Reform, and especially the application of the Single Payment scheme to companies, were examined in cereal cropping companies, especially considering the significant amount of durum wheat cultivation in vast areas of the Region’s hilly and its strategic importance for many areas where there is a risk of farming being abandoned, with grave consequences for the territory and its farmland, for employment and for the encouragement of food and processing industries. The chosen means for assessing the effects of the reform was that of direct interviews at a statistically representative sample made up of 400 agricultural companies, determining possible earnings within the current situation, but also in the eventuality of some of the indications in the Health check being applied. The results indicate that Community aid plays a crucial role in the companies looked at, allowing them to remain on the market. Indeed, the elimination of the aid planned within the framework of the Common Agricultural Policy in the hypothetical scenarios showed a negative impact on earnings for the companies and could cause their exclusion from the market.CAP, Future of the CAP, Sicilian agriculture, Agricultural and Food Policy, Q10, Q18.,

Assessing the effective connectivity of premotor areas during real vs imagined grasping: a DCM-PEB approach

The parieto-frontal circuit underlying grasping, which requires the serial involvement of the anterior intraparietal area (aIPs) and the ventral premotor cortex (PMv), has been recently extended enlightening the role of the dorsal premotor cortex (PMd). The supplementary motor area (SMA) has been also suggested to encode grip force for grasping actions; furthermore, both PMd and SMA are known to play a crucial role in motor imagery. Here, we aimed at assessing the dynamic couplings between left aIPs, PMv, PMd, SMA and primary motor cortex (M1) by comparing executed and imagined right-hand grasping, using Dynamic Causal Modelling (DCM) and Parametrical Empirical Bayes (PEB) analyses. 24 subjects underwent an fMRI exam (3T) during which they were asked to perform or imagine a grasping movement visually cued by photographs of commonly used objects. We tested whether the two conditions a) exert a modulatory effect on both forward and feedback couplings among our areas of interest, and b) differ in terms of strength and sign of these parameters. Results of the real condition confirmed the serial involvement of aIPs, PMv and M1. PMv also exerted a positive influence on PMd and SMA, but received an inhibitory feedback only from PMd. Our results suggest that a general motor program for grasping is planned by the aIPs-PMv circuit; then, PMd and SMA encode high-level features of the movement. During imagery, the connection strength from aIPs to PMv was weaker and the information flow stopped in PMv; thus, a less complex motor program was planned. Moreover, results suggest that SMA and PMd cooperate to prevent motor execution. In conclusion, the comparison between execution and imagery reveals that during grasping premotor areas dynamically interplay in different ways, depending on task demands

Neural representations underlying mental imagery as unveiled by representation similarity analysis

It is commonly acknowledged that visual imagery and perception rely on the same content-dependent brain areas in the high-level visual cortex (HVC). However, the way in which our brain processes and organizes previous acquired knowledge to allow the generation of mental images is still a matter of debate. Here, we performed a representation similarity analysis of three previous fMRI experiments conducted in our laboratory to characterize the neural representation underlying imagery and perception of objects, buildings and faces and to disclose possible dissimilarities in the neural structure of such representations. To this aim, we built representational dissimilarity matrices (RDMs) by computing multivariate distances between the activity patterns associated with each pair of stimuli in the content-dependent areas of the HVC and HC. We found that spatial information is widely coded in the HVC during perception (i.e. RSC, PPA and OPA) and imagery (OPA and PPA). Also, visual information seems to be coded in both preferred and non-preferred regions of the HVC, supporting a distributed view of encoding. Overall, the present results shed light upon the spatial coding of imagined and perceived exemplars in the HVC

A common neural substrate for processing scenes and egomotion-compatible visual motion

Neuroimaging studies have revealed two separate classes of category-selective regions specialized in optic flow (egomotion-compatible) processing and in scene/place perception. Despite the importance of both optic flow and scene/place recognition to estimate changes in position and orientation within the environment during self-motion, the possible functional link between egomotion- and scene-selective regions has not yet been established. Here we reanalyzed functional magnetic resonance images from a large sample of participants performing two well-known “localizer” fMRI experiments, consisting in passive viewing of navigationally relevant stimuli such as buildings and places (scene/place stimulus) and coherently moving fields of dots simulating the visual stimulation during self-motion (flow fields). After interrogating the egomotion-selective areas with respect to the scene/place stimulus and the scene-selective areas with respect to flow fields, we found that the egomotion-selective areas V6+ and pIPS/V3A responded bilaterally more to scenes/places compared to faces, and all the scene-selective areas (parahippocampal place area or PPA, retrosplenial complex or RSC, and occipital place area or OPA) responded more to egomotion-compatible optic flow compared to random motion. The conjunction analysis between scene/place and flow field stimuli revealed that the most important focus of common activation was found in the dorsolateral parieto-occipital cortex, spanning the scene-selective OPA and the egomotion-selective pIPS/V3A. Individual inspection of the relative locations of these two regions revealed a partial overlap and a similar response profile to an independent low-level visual motion stimulus, suggesting that OPA and pIPS/V3A may be part of a unique motion-selective complex specialized in encoding both egomotion- and scene-relevant information, likely for the control of navigation in a structured environment

Analysis of the Socio-Economic Impacts of a Proposed Highway between Nuevo Italia and Puerto Breu, Peru

Road building is increasingly promoted in the borderlands shared by Peru and Brazil despite an incomplete understanding of the socio-environmental impacts of transportation infrastructure in the region. Amazonian roads often expand informally, without official government process, previous consultation by Indigenous populations, and environmental impact statements.. Amazonian road expansion also often follows a progressive feedback cycle, with new, unplanned roads begetting illegal logging pathways and agricultural expansion which in turn expands and formalizes road systems. One expanding road system is developing between the Ucayali River and the remote headwaters of the Yurua/Jurua River. The Carretera Yurua (officially trail UC-105), extended approximately300 km long in August 2020. Existing research suggests that the unplanned construction of the Yurua road, which originally began as informal logging roads extending off a road to explore fossil fuels, could result in significant land changes and will facilitate ranching, additional illegal timber harvesting, and coca farming, threatening global biodiversity hotspots and conservation areas, and endangered Indigenous cultures and territories. This research spatially analyzes the different waterways, cultural territories, conservation areas and other administrative units crossed by the proposed road. Additional analysis includes the deforestation footprint and downstream impacts of the road. Methods include GIS analysis and remote sensing along with document and internet research of news articles, legal documents, social media communications, interviews from key actors, and studies of similar infrastructure projects in the bio-culturally diverse Amazon borderlands

Experimental assessment of compensated distortion in selective laser melting of Ti6Al4V parts

Selective laser melting (SLM) is a well-established Additive Manufacturing technique for the fabrication of end-use metal components. Process reliability and maximum product quality are ensured by 20 years of technology development. Nevertheless, depending on the complexity of the part geometry and on the operator experience, different trials are often needed before getting a part first time right. To reduce the number of failed jobs, simulation software packages predict residual stresses and related distortions in SLM parts and propose a compensated geometry for the “right first time” production of the product. In this works, the simulation routines of Amphyon software by Additive Works are experimentally calibrated and validated for the fabrication of a reference geometry by means of an EOSINT M270 machine and Ti6Al4V powder. The calibration of Amphyon is performed using three cantilever specimens and the calibrated SLM simulation is then used to compute the compensated shape of the reference part. The validation of the compensated shape by comparison to the real part geometry shows that Amphyon routines have good prediction capability and dimensional accuracy

Is right angular gyrus involved in the metric component of the mental body representation in touch and vision? A tdcs study

Several studies have found in the sense of touch a good sensory modality by which to study body representation. Here, we address the “metric component of body representation”, a specific function developed to process the discrimination of tactile distances on the body. The literature suggests the involvement of the right angular gyrus (rAG) in processing the tactile metricity on the body. The question of this study is the following: is the rAG also responsible for the visual metric component of body representation? We used tDCS (anodal and sham) in 20 subjects who were administered an on-body distance discrimination task with both tactile and visual stimuli. They were also asked to perform the same task in a near-body condition. The results allow us to confirm the role of rAG in the estimation of tactile distances. Further, we also showed that rAG might be involved in the discrimination of distances on the body not only in tactile but also in visual modality. Finally, based on the significant effects of anodal stimulation even in a near-body visual discrimination task, we proposed a higher-order function of the AG in terms of a supramodal com-parator of quantities

Development of a low-cost monitoring system for open 3d printing

3D printers for Rapid Prototyping and Additive Manufacturing have been widely accepted by large and small-scale industries or by many hobbyists. Due to its nature of layer by layer addition of material, identifying defects between the layers can be a crucial strategy to determine the quality of a 3D printed product by carefully monitoring the layerwise process during part building. This kind of approach gives an advantage in the applications where 3D printing of products requires high customization without compromise on part quality. In this work, a low-cost camera is installed in an open 3D printer, and computer vision algorithms are used to implement an in-situ monitoring system. The defects can be evaluated by comparing the printed layer to the deposition path of the open ISO G-code. The G-code printing file is modified to introduce the image capture step after each layer. The value of the area of missing or exceeding material is returned to the user with the corresponding images. A decision can be made to abort the job in case of important defects to avoid unnecessary waste in material, time, and costs

Analysis of the Socio-Environmental Impacts of the Proposed Transboundary Highway between Pucallpa, Peru and Cruzeiro do Sul, Brazil

As road building across the Amazon continues to be proposed by both Brazilian and Peruvian governments, it becomes increasingly important to consider the effects this infrastructure could have on diverse Amazonian cultures and ecosystems. One proposal being discussed is a 200 km road that would connect the cities of Pucallpa, Peru and Cruzeiro do Sul, Brazil. While promoted as economically beneficial, the road could infringe upon protected conservation areas and indigenous lands, bringing illegal activity with it as well. This research aims to evaluate the potential impacts the Pucallapa-Cruzeiro do Sul road project presents to the ecosystems, societies, and economies of the southwestern Amazon using a mixed methodology including geospatial analysis, remote sensing, and a literature review of previous studies on the impact of roads in tropical forests. These analyses will attempt to express the scale of the repercussions that road construction may bring to the bioculturally rich Amazon borderlands