170,986 research outputs found
Determination of Se(IV) and SE(VI) in Italian mineral waters
No full textThis paper deals with determination of selenium and analysis of its speciation in some Italian mineral waters. Selenium was determined by differential pulse cathodic stripping voltammetry (DPCSV) even if square wave cathodic stripping voltammetry (SWCSV) was also taken into consideration. The selenium determined in the mineral waters here investigated is not over 600 ng L-1 in three samples, it was found below the detection limit. Analysis of speciation revealed that Se(VI) is the highly prevailing form present: only two of the examined samples revealed a detectable amount (few ng L-1) of Se(IV). DPCSV made possible to detect, in two of the samples, the presence of a specie(s) able to interact with Se(IV). The apparent interaction constant for the adduct formation was evaluated and the species concentration determined. However, the nature of such compound(s) remains unknown
Known Fables
No full textNine fables listed in a beginning T of C: FG, The Ant and the Fly, The Bear and the Bees, The Lion and the Goat, WC, WL, The Daw with Borrowed Feathers, The Clock and the Dial, and FC. Printed on Goyu paper from the original blocks. Each page is folded over so that it is printed on just one side. Typical Frasconi work. The grasping fox of FG is outstanding. The Bear and the Bees presents two large masses with a few random bees in the open spaces; a huge mass of bees attacks the huge mass of the bear. I think there may have been some confusion about The Lion and the Goat. The illustration shows a lion looking up a cliff at a goat. The text is about the two of them coming at the same time to a fountain on a hot day and preparing to fight--until they see vultures overhead. These vultures are nowhere to be seen in the woodcut. WC's illustration shows typical Frasconi angularity and physicality. The scrawny, plucked daw is in a lower corner wonderfully overshadowed by the beautiful peacocks. The crow of FC practically throws the cheese down to the vigilant wily fox below. Very nice work!This is a hardbound book (hard cover)This book has a dust jacket (book cover)Signed#324 of 500Bewick 182
Carbon Nanotubes and Their Composites for Flexible Electrochemical Biosensors
No full textFlexible biosensors play a crucial role for healthcare management and disease diagnosis. Electrochemical biosensors have attracted significant attention for wearable sensing applications owing to their numerous advantages, including high sensitivity and selectivity, inherent miniaturization and rapid response times. Challenges lie in the development of highly conductive and flexible electrodes that can be integrated with biorecognition components to engineer selective biosensor interfaces. Carbon nanotubes (CNTs) hold significant promise as materials for wearable flexible sensor fabrication. This review highlights recent strategies for fabricating conductive and flexible electrodes, whether in the form of films or fibers, based on CNTs and their composites. Additionally, the review explores emerging biosensing applications, including flexible sensors for the direct electrochemical detection of biomarkers, sensors functionalized with enzymes, antibodies, or DNA, and sensors interfaced w..
Multilayered networks and the C-G uncertainty principleProceedings of SPIE
No full textThe experience gained in many experiments with neural networks has shown that many challenging problems are still hard to solve, since the learning process becomes very slow, often leading to suboptimal solutions. In this paper we analyze this problem for the case of two-layered networks by discussing on the joint behavior of the algorithm convergence and the generalization to new data. We suggest two scores for generalization and optimal convergence that behave like conjugate variable in Quantum Mechanics. As a result, the requirement of increasing the generalization is likely to affect the optimal convergence. This suggests that "difficult" problems are better faced with biased-models, somewhat tuned on the task to be solved. © 1993 SPIE. All rights reserved
Current Trends for a Modern, Integrated, and Sustainable Approach to Weed Management
No full textThe need to reduce the use of agrochemicals in order to work towards sustainable farming systems has influenced scientific research on weeds in recent years [...
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Influence of steam injection system on the effect of activated soil steaming on Brassica juncea (L.) Czern and natural weed seedbank
No full textMachine Learning for the Internet Part 1 — Guest Editors’ Editorial
No full textThe World Wide Web has been at the center of a revolution in how algorithms are designed with massive amounts of data in mind. The essence of this revo- lution is conceptually very simple: real-world massive data sets are, more often than not, highly structured and regular. Regularities can be used in two com- plementary ways. First, systematic regularities within massive data sets can be used to craft algorithms that are potentially suboptimal in the worst-case, but highly effective for expected cases. Second, nonsystematic regularities—those that are too subtle to be encoded within an algorithm—can be discovered by automated methods so that the solutions are actually determined by the un- derlying data. In both cases, the existence of enormous problem instances that arise from a highly regular source is key to building more effective methods
Greenhouse gas emissions from soil cultivated with vegetables in crop rotation under integrated, organic and organic conservation management in a Mediterranean environment
No full textA combination of organic and conservation approaches have not been widely tested, neither considering agronomic implications nor the impacts on the environment. Focussing on the effect of agricultural practices on greenhouse gas (GHG) emissions from soil, the hypothesis of this research is that the organic conservation system (ORG+) may reduce emissions of N2O, CH4 and CO2 from soil, compared to an integrated farming system (INT) and an organic (ORG) system in a two-year irrigated vegetable crop rotation set up in 2014, in a Mediterranean environment. The crop rotation included: Savoy cabbage (Brassica oleracea var. sabauda L. cv. Famosa), spring lettuce (Lactuca sativa L. cv. Justine), fennel (Foeniculum vulgare Mill. cv. Montebianco) and summer lettuce (L. sativa cv. Ballerina). Fluxes from soil of N2O, CH4 and CO2 were measured from October 2014 to July 2016 with the flow-through non-steady state chamber technique using a mobile instrument equipped with high precision analysers. Both cumulative and daily N2O emissions were mainly lower in ORG+ than in INT and ORG. All the cropping systems acted as a sink of CH4, with no significant differences among treatments. The ORG and ORG+ systems accounted for higher cumulative and daily CO2 emissions than INT, maybe due to the stimulating effect on soil respiration of organic material (fertilizers/plant biomass) supplied in ORG and ORG+. Overall, the integration of conservation and organic agriculture showed a tendency for higher CO2 emissions and lower N2O emissions than the other treatments, without any clear results on its potential for mitigating GHG emissions from soil
Machine Learning for the Internet Part 2 — Guest Editors’ Editorial
No full textThe Internet and the Web are continuously evolving giving rise to a rich and extremely dynamic environment where an increasing number of users require and expect new and more sophisticated services. Because of this, a field called “ Web Intelligence” is starting to receive interest from the Artificial Intelligence community. The Web and Internet pose new challenges to AI algorithms, which have been successfully applied in many other fields, at the same time stimu- lating the development of new techniques. In particular, as pointed out in the introduction to the first part of this special issue (Vol. 4, no. 2, May 2004), ma- chine learning methods have been extensively studied and have been applied to create intelligent systems that are actively involved with the Internet and Web
- …
