Entropy-based measure of structural order in water

We analyze the nature of the structural order established in liquid TIP4P water in the framework provided by the multi-particle correlation expansion of the statistical entropy. Different regimes are mapped onto the phase diagram of the model upon resolving the pair entropy into its translational and orientational components. These parameters are used to quantify the relative amounts of positional and angular order in a given thermodynamic state, thus allowing a structurally unbiased definition of low-density and high-density water. As a result, the structurally anomalous region within which both types of order are simultaneously disrupted by an increase of pressure at constant temperature is clearly identified through extensive molecular-dynamics simulations.Comment: 5 pages, 2 figures, to appear in Phys. Rev. E (Rapid Communication

APPLICATION OF ARTIFICIAL NEURAL NETWORK BACKPROPAGATION TO PREDICT HOUSEHOLD CONSUMPTION OF ELECTRICITY IN AMBON

Electricity is one of the energy most widely used in the universe. Electric power demand in Ambon city tends to increase due to the growing of population in Ambon. The necessary of electricity power in Ambon City by utilizing two systems are interconnected such as: PLTD Poka and PLTD Hative Kecil (Galala). In this research forecast the demand for household electricity consumption in 2016 based on validation data from 2011-2015 using Application of Neural Networks Backpropagation method. The validation data are using in JST-Backpropagation training, with the best network architecture that is 20 10 5 1 neurons and 0.8 learning rate, can produce the best pattern with the accuracy is 75% and the value of Mean Square Error is 0.298335.&nbsp

Planning amid crisis and austerity : in, against and beyond the contemporary conjuncture

This article introduces the special issue ‘Planning amid crisis and austerity: in, against and beyond the contemporary juncture’. It starts by acknowledging two limits of the existing body of literature on the planning/crisis/austerity nexus: on the one hand, the excessive reliance on cases at the ‘core’ of the financial crisis of 2007–2008, with impacts on the understanding of austerity as a response to economic crises; and, on the other, the limited attention given to the impacts of austerity on planning, and their implications for planning practice and research. Based on the contributions in the special issue, the article reflects on some lessons learned: first, the need for a more nuanced understanding of the multiple geographies and temporalities of crisis and austerity; second, the problematic standing of planning practice and research in the face of crisis and austerity; and, third, the potential and limitations of (local) responses and grassroots mobilizations in shaping alternatives

Lipid peroxidation and protein oxidation in patients affected by Hodgkin's lymphoma.

A dysregulation of the redox homoeostasis has been reported in various neoplastic disorders. Malondialdehyde/4-hydroxy-2,3-nonenal (MDA/HNE) and protein carbonyl groups represent in vivo indexes of lipid peroxidation and protein oxidation, respectively, suitable to investigate radical-mediated physio-pathological conditions. We evaluated MDA/HNE and protein carbonyl groups in sera of untreated Hodgkin's lymphoma (HL) patients in advanced disease stages, in order to quantify the oxidative stress. HL patients displayed significantly higher levels of both MDA/HNE and protein carbonyl groups as compared with healthy controls. This is the first evidence that a strong increase in HL is one of the most common haematological malignancies, representing approximately 30% of all lymphomas in the circulating protein carbonyl content in HL. These findings may contribute to a better definition of the redox homoeostasis dysregulation in HL

The FCC-BCC-Fluid triple point for model pair interactions with variable softness

It is demonstrated that the coordinates of the fcc-bcc-fluid triple point of various model systems are located in a relatively narrow region, when expressed in terms of the two proper variables, characterizing the softness and strength of the interaction force at the mean interparticle separation. This can be regarded as a consequence of the "corresponding states principle" for strongly interacting particle systems we have put forward recently [S. A. Khrapak, M. Chaudhuri, and G. E. Morfill, J. Chem. Phys. {\bf 134}, 241101 (2011)]. The related possibilities to predict the existence and approximate location of the fcc-bcc-fluid triple point for a wide range of pair interactions with variable softness are illustrated. Relation of the obtained results to experimental studies of complex (dusty) plasmas are briefly discussed.Comment: 5 pages, 2 figures, 1 tabl

Protein carbonyl group content in patients affected by familiar chronic nail candidiasis.

Familiar chronic nail candidiasis (FCNC) is a rare disorder characterized by early-onset infections caused by different species of Candida, restricted to the nail of the hands and feet, and associated with a low serum concentration of intercellular adhesion molecule 1. Host defense mechanisms against candidiasis require the cooperation of many immune cells through several candidacidal mechanisms, including oxygen-dependent killing mechanisms, mediated by a superoxide anion radical myeloperoxidase--H2O2--halide system, and reactive nitrogen intermediates. We analyzed protein carbonyl groups (considered a useful marker of oxidative stress) in the serum of patients belonging to a five-generation Italian family with an isolated form of FCNC. Serum protein carbonyl groups in FCNC patients were significantly lower than those measured in healthy donors. Also, if this hypothesis is merely speculative, we could suggest that the decreased circulating level of protein carbonyl groups in these patients is not a marker of a lower oxidative stress condition, but might be linked to a lower protease activity

Life cycle inventory data for the Italian agri-food sector: background, sources and methodological aspects

AbstractPurposeFor the development of any life cycle assessment study, the practitioner frequently integrates primary data collected on-field, with background data taken from various life cycle inventory databases which are part of most commercial LCA software packages. However, such data is often not generally applicable to all product systems since, especially concerning the agri-food sector, available datasets may not be fully representative of the site specificity of the food product under examination. In this context, the present work investigates the background, sources and methodological aspects that characterise the most known commercial databases containing agri-food data, with a focus on four agri-food supply chains (olive oil, wine, wheat products and citrus fruit), which represent an important asset for the Italian food sector.MethodsSpecifically, the paper entails a review of currently available LCI databases and their datasets with a twofold scope: firstly, to understand how agri-food data is modelled in these databases for a coherent and consistent representation of regional scenarios and to verify whether they are also suitable for the Italian context and, secondly, to identify and analyse useful and relevant methodological approaches implemented in the existing LCI databases when regional data are modelled.ResultsBased on the aforementioned review, it is possible to highlight some problems which may arise when developing an LCI pertaining to the four Italian agri-food supply chains, namely:1. The need for specific inventory datasets to tackle the specificities of agri-food product systems.2. The lack of datasets, within the existing DBs, related to the Italian context and to the abovementioned supply chains. In fact, at present, in the currently available LCI DBs, there are very few (or in some cases none) datasets related to Italian wine, olive oil, wheat-based products and citrus fruit. The few available datasets often contain some data related to the Italian context but also approximate data with that of product systems representing other countries.Furthermore, the present study allowed to identify and discuss the main aspects to be used as starting elements for modelling regional data to be included in a future Italian LCI database of the abovementioned four supply chains.ConclusionsThe results of the present study represent a starting point for the collection of data and its organisation, in order to develop an Italian LCI agri-food database with datasets which are representative of the regional specificities of four agri-food supply chains which play an important role in the Italian economy

Fast UPLC/PDA determination of squalene in Sicilian P.D.O. pistachio from Bronte: optimization of oil extraction method and analytical characterization

A fast reversed-phase UPLC method was developed for squalene determination in Sicilian pistachio samples that entry in the European register of the products with P.D.O. In the present study the SPE procedure was optimized for the squalene extraction prior to the UPLC/PDA analysis. The precision of the full analytical procedure was satisfactory and the mean recoveries were 92.8 + 0.3 % and 96.6 + 0.1 % for 25 and 50 mg L-1 level of addition, respectively. Selected chromatographic conditions allowed a very fast squalene determination; in fact it was well separated in ~ 0.54 min with good resolution. Squalene was detected in all the pistachio samples analyzed and the levels ranged from 55.45 to 226.34 mg . kg-1. Comparing our results with those of other studies it emerges that squalene contents in P.D.O. Sicilian pistachio samples, generally, were higher than those measured for other samples of different geographic origins