Ground states in complex bodies

A unified framework for analyzing the existence of ground states in wide classes of elastic complex bodies is presented here. The approach makes use of classical semicontinuity results, Sobolev mappinngs and Cartesian currents. Weak diffeomorphisms are used to represent macroscopic deformations. Sobolev maps and Cartesian currents describe the inner substructure of the material elements. Balance equations for irregular minimizers are derived. A contribution to the debate about the role of the balance of configurational actions follows. After describing a list of possible applications of the general results collected here, a concrete discussion of the existence of ground states in thermodynamically stable quasicrystals is presented at the end.Comment: 30 pages, in print on ESAIM-COC

A stinging wasp in the stomach: accidental endoscopic diagnosis of a systemic anaphylactic reaction.

There are only four reported cases of bees or wasps being found as foreign bodies in the esophagus or stomach. We report the first case, to our knowledge, of a wasp puncture in the stomach causing local (acute heartburn) and systemic symptoms (anaphylaxis)

Web interactive non intrusive load disaggregation system for active demand in smart grids

A Smart Grid combines the use of traditional technology with innovative digital solutions, making the management of the electricity grid more flexible. It allows for monitoring, analysis, control and communication within the supply chain to improve efficiency, reduce the energy consumption and cost, and maximize the transparency and reliability of the energy supply chain. The optimization of energy consumption in Smart Grids is possible by using an innovative system based on Non Intrusive Appliance Load Monitoring (NIALM) algorithms, in which individual appliance power consumption information is disaggregated from single-point measurements, that provide a feedback in such a way to make energy more visible and more amenable to understanding and control. We contribute with an approach for monitoring consumption of electric power in households based on both a NILM algorithm, that uses a simple load signatures, and a web interactive systems that allows an active role played by users

Land Cover classification and change-detection analysis using multi-temporal remote sensed imagery and landscape metrics

AbstractRemote Sensing (RS) data and techniques, in combination with GIS and landscape metrics, are fundamental to analyse and characterise Land Cover (LC) and its changes. The case study here described, has been conducted in the area of Avellino (Southern Italy). To characterise the dynamics of changes during a fifty year period (1954–2004), a multitemporal set of images has been processed: aerial photos (1954), and Landsat scenes (MSS 1975, TM 1985 and 1993, ETM+ 2004). LC pattern and its changes are linked to both natural and social processes whose driving role has been clearly demonstrated in the case study: after the disastrous Irpinia earthquake (1980), specific zoning laws and urban plans have significantly addressed landscape change

Endoscopic palliative management of esophageal and tracheal rupture

The increasing number of patients requiring intensive care and airway support has led to a growing recognition that significant short- and long-term morbidity may be associated with the use of artificial airways; this is despite significant improvements in the materials used in laryngeal tubes, which aim to decrease the trauma associated with long-term intubation. We present the first case, to our knowledge,of huge, nontraumatic, esophageal perforation, widely communicating with the trachea, and which was treated successfully with double endoscopic stent placement

Stump appendicitis. A case report

AbstractIntroductionToday, the diagnosis of SA is usually not considered as the etiology for right lower quadrant pain in patient with history of appendectomy, resulting in delaying making the correct diagnosis and treatment. Obviously, other more common causes should be excluded first.DiscussionStump appendicitis (SA) was first described by Rose in 1945. The commonest presenting symptom are abdominal pain (right lower quadrant pain 59%, non specific abdominal pain 16%, and central abdominal pain radiating to the right lower quadrant 14%).Presentation of caseA 54-year-old appendectomized woman presented with recent history of abdominal pain with periumbilical pain radiating to the right side and in the right iliac fossa, in the absence of fever, vomiting or other symptoms.Elective colonoscopy revealed appendicular orifice clogged by big fecalith, with hyperemic surrounding mucosa and CT confirmed “stump appendicitis”. After 30 days of therapy with metronidazole 500mg/day and mesalazine 1000mg×2/day, the patient was submitted to surgery and appendectomy was performed, with a specimen of 24mm stump appendicitis.ConclusionSA may well be considered as one of the differential diagnoses of acute right lower abdominal pain even in patients with history of appendicectomy

Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation

The sustainable management of natural heritage is presently considered a global strategic issue. Owing to the ever-growing availability of free data and software, remote sensing (RS) techniques have been primarily used to map, analyse, and monitor natural resources for conservation purposes. The need to adopt multi-scale and multi-temporal approaches to detect different phenological aspects of different vegetation types and species has also emerged. The time-series composite image approach allows for capturing much of the spectral variability, but presents some criticalities (e.g., time-consuming research, downloading data, and the required storage space). To overcome these issues, the Google Earth engine (GEE) has been proposed, a free cloud-based computational platform that allows users to access and process remotely sensed data at petabyte scales. The application was tested in a natural protected area in Calabria (South Italy), which is particularly representative of the Mediterranean mountain forest environment. In the research, random forest (RF), support vector machine (SVM), and classification and regression tree (CART) algorithms were used to perform supervised pixel-based classification based on the use of Sentinel-2 images. A process to select the best input image (seasonal composition strategies, statistical operators, band composition, and derived vegetation indices (VIs) information) for classification was implemented. A set of accuracy indicators, including overall accuracy (OA) and multi-class F-score (Fm), were computed to assess the results of the different classifications. GEE proved to be a reliable and powerful tool for the classification process. The best results (OA = 0.88 and Fm = 0.88) were achieved using RF with the summer image composite, adding three VIs (NDVI, EVI, and NBR) to the Sentinel-2 bands. SVM and RF produced OAs of 0.83 and 0.80, respectively

Surgical treatment of solitary sternal metastasis from breast cancer Case report

Bone metastasis is a frequent and early complication of breast cancer. This case report describes a technique for a partial exeresis of the sternum and the reconstruction of the pleura with autologous dermis from the lower abdomen and the loss of substance with a myocutaneous flap