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Acta Alimentaria
Authors: M. Gyalai-Korpos, A. Fehér, Zs. Barta, and K. Réczey

2006 568 200 210 Liu , J., Olsson , G. & Mattiasson , B. (2004): A volumetric meter for monitoring of low

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P. Winship L. Jakobsen 2002 Monitoring snowmelt induced unsaturated flow and transport using electrical resistivity tomography

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Acta Phytopathologica et Entomologica Hungarica
Authors: Zsolt Kárpáti, Csengele Bognár, Erzsébet Voigt, Miklós Tóth, and Béla Péter Molnár

white sticky trap is available to monitor the flight activity of these two sawfly species in plum orchards ( Blaisinger, 1975 ; Tamošiūnas et al., 2014 ). Although H. minuta and H. flava are present in Hungarian plum orchards, little is known about

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Vonica, I. (1996b): Monitoring for Diabrotica virgifera in Romania. IWGO-Newsletter 16, 15-16. Monitoring for Diabrotica virgifera in Romania IWGO

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monitoring Scirtothrips dorsalis (Thysanoptera: Thripidae). Florida Entomologist 89, 47–55. Henneberry T. J. Developing and evaluating traps for monitoring Scirtothrips dorsalis

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Imaging
Authors: Hatem Soliman-Aboumarie, Maria Concetta Pastore, Eftychia Galiatsou, Luna Gargani, Nicola Riccardo Pugliese, Giulia Elena Mandoli, Serafina Valente, Ana Hurtado-Doce, Nicholas Lees, and Matteo Cameli

not fully validated to initiate or monitor treatment of pulmonary hypertension. This method should not replace invasive measurement by right heart catherization. Right heart

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Abstract

In the beginning of August 2009 a long-term monitoring started in a recently built passive house near Isaszeg. The first results were presented in the last year's conference. The present paper gives an overview about a whole-year data evaluation focusing on energy consumption. During the first year of building occupancy three types of heat suppliers and two types of heat exchangers in the ventilation systems were applied and monitored, thus different heating options could be compared.

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. European Centre for Disease PreventionControl/WHO Regional Office for Europe. 2012 Tuberculosis surveillance and monitoring in Europe 2012 European Centre for Disease Prevention and Control

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Abstract  

Microcalorimetry was used for monitoring anaerobic digestion processes of heavily polluted industrial waste waters (from cheese industry, distilleries, yeast plant). Interpreting the thermal power-time curves by HPLC, some sub-processes in batch cultures were tentatively identified as acidogenic, acetogenic and methanogenic. Processes underlying power-time curves up to 10 h were different for different wastes. In the case of cheese whey and distillery waste it was acidogenesis, in the case of sulfate containing waste - presumably reduction of sulfates. The effect of Biotreat 100 (BimKemi Eesti Ltd.), a preparation for removing H2S from waste water, was observed for these processes.

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This paper introduces the alternating conditional expectation (ACE) algorithm of Breiman and Friedman (1985) in multiple regression problems in groundwater monitoring data analysis. This special inverse nonparametric approach can be applied easily for estimating the optimal transformations of different groundwater monitoring data from the Bükk Mountains to obtain maximum correlation between observed aquifer variables. The approach does not require a priori assumptions of a mathematical form, and the optimal transformations are derived solely based on the groundwater data set. The advantages and applicability of the proposed approach to solve different multiple regression problems in hydrogeology or in groundwater management are illustrated by means of case studies from a Hungarian karst aquifer. It is demonstrated that the ACE method has certain advantages in some fitting problems of groundwater science over the traditional multiple regression.In the past, different groundwater monitoring data (like groundwater level, groundwater temperature and conductance, etc.) had been used for groundwater management purposes in the Bükk Mountains. One of the difficulties in earlier approaches has been the need to make some kind of assumption of the expected mathematical forms among the investigated reservoir and petrophysical variables. By using nonparametric regression, the need to assume a specific form of model is avoided, and a clearer vision of the relationships between aquifer parameters can be revealed in the Bükk Mountains, where karst water is the main source of potable water supply. Complex monitoring data from the Bükk Mountains were analyzed using the ACE inverse method, and results were verified successfully against quantitative and qualitative field observations.

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