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Institutul Național de Cercetare-Dezvoltare pentru Științe Biologice

MN

Marian Necula

CS III - Bioinformatică

Publication	Authors	Date
article Are Microplastics Efficient Remediation Tools For Removing The Statin Lipitor? A Laboratory Experiment With Meiobenthic Nematodes	Aldraiwish Bayan M.; Alaqeel Maha M.; Al-Hoshani Nawal; Ozdemir Sadin; Pacioglu Octavian; Necula Marian; Milea Eduard C.; Hedfi Amor; Rudayni Hassan A.; Boufahja Fehmi	Frontiers In Marine Science, 2024
Autorii INCDSB Octavian Pacioglu Marian Necula Eduard Milea Frontiers In Marine Science 10.3389/fmars.2024.1390700 Rezumat Introduction The current experiment investigated the multifaceted effects induced by microplastics and the statin Lipitor on marine benthic nematodes.Methods The nematodes were exposed to a single polystyrene and polyvinyl chlorides (both at 1 mg.kg-1 Dry Weight) and two Lipitor concentrations (0.1 and 1 mg.l-1), as well as to a mixture of both types of pollutants, for 30 days.Results The results highlighted a significant decrease in the abundance, individual biomass, and diversity of nematodes directly with the addition of polyvinyl chlorides and/or Lipitor. These treatments induced a greater mortality rate among microvores and diatom feeders compared to other feeding types of nematodes.Discussion The nematofauna underwent a strong restructuring phase following exposure to microplastics and Lipitor when added alone, leading to the disappearance of sensitive species and their replacement by more tolerant taxa. The toxicity of Lipitor is attenuated by the physical bonding with polystyrene when added to a mixture and has no negative effect on marine nematode species.
article Urban Green Index Estimation Based On Data Collected By Remote Sensing For Romanian Cities	Necula Marian; Andrei Tudorel; Oancea Bogdan; Paun Mihaela	Romanian Statistical Review, 2023
Autorii INCDSB Marian Necula Bogdan Oancea Mihaela Paun Romanian Statistical Review Rezumat The modernization of official statistics involves the use of new data sources, such as data collected through remote sensing. The document contains a description of how an urban green index, derived from the SDG 11.7 objective, was obtained for Romania's 41 county seat cities based on free data sets collected by remote sensing from the European and North American space agencies. The main result is represented by an estimate of the areas of surfaces covered with vegetation for the 40 county seat towns and the municipality of Bucharest, relative to the total surface. To estimate the area covered with vegetation, we used two data sets obtained by remote sensing, namely data provided by the MODIS mission, the TERRA satellite, and data provided by the Sentinel 2 mission from the Copernicus space program. Based on the results obtained, namely the surface area covered with vegetation, estimated in square kilometers, and the percentage of the total surface area or urban green index, we have created a national top of the county seat cities.
article How Accurate Is The Remote Sensing Based Estimate Of Water Physico-Chemical Parameters In The Danube Delta (Romania)?	Necula Marian; Tusa Iris Maria; Sidoroff Manuela Elisabeta; Itcus Corina; Florea Daniela; Amarioarei Alexandru; Paun Andrei; Pacioglu Octavian; Paun Mihaela	Annals Of Forest Research, 2022
Autorii INCDSB Marian Necula Iris Maria Tușa Manuela Sidoroff Corina Ițcuș Daniela Florea Alexandru Amarioarei Andrei Paun Octavian Pacioglu Mihaela Paun Annals Of Forest Research 10.15287/afr.2022.2682 Rezumat The current paper estimated the physico-chemical properties of water in the Danube Delta (Romania), based on Sentinel 2 remote sensing data. Eleven sites from the Danube Delta were sampled in spring and autumn for three years (2018-2020) and 21 water physico-chemical parameters were measured in laboratory. Several families of machine learning algorithms, translated into hundreds of models with different parameterizations for each machine learning algorithm, based on remote sensing data input from Sentinel 2 spectral bands, were employed to find the best models that predicted the values measured in laboratory. This was a novel approach, reflected in the types of selected models that minimised the values of performance metrics for the tested parameters. For alkalinity, calcium, chloride, carbon dioxide, hardness, potassium, sodium, ammonium, dissolved oxygen, sulphates, and suspended matter the results were promising, with an overall percentage bias of the estimates of +/- 10% from the observed values. For copper, magnesium, nitrites, nitrates, turbidity and zinc the estimates were fairly accurate, with percentage biases in the interval +/- 10% - 20%, whereas for detergents, led, and phosphates the percentage bias was higher than 20%. Overall, the results of the current study showed fairly good estimates between remote sensing based estimates and laboratory measured values for most water physico-chemical parameters.
article New Methodological Approach To Classify Educational Institutions-A Case Study On Romanian High Schools	Necula Marian; Rosu Maria-Magdalena; Firescu Alexandra-Maria; Basu Cecilia; Ardelean Andreea; Milea Eduard C.; Paun Mihaela	Mathematics, 2022
Autorii INCDSB Marian Necula Eduard Milea Mihaela Paun Mathematics 10.3390/math10142480 Rezumat Since 2021, the National Evaluation exam in Romania (the exam aimed to assess 14- to 15-year-old students' knowledge at the end of lower secondary education and just before high school) has presented a novel examination structure that resembles PISA tests. The current investigation analyses the 2021 National Evaluation exam results compared to the results obtained in the previous two years (2019-2020) as an evaluation of upper education institutions' effectiveness in Romania. The results put forward the same conclusions as proposed by extant literature on Bucharest high schools. Even though the educational institutions show apparent progress and great adaptability to change, a more in-depth analysis reveals great inequality between educational institutions. As in the case of Bucharest, nationally there are only a small number of top-performing high schools in Romania, with the majority of high schools ranking in the lowest category as conceptualised in the study. The current investigation puts together a novel methodology for classification based on the main instruments proposed in literature: a letter grade classification and Turner's f-index. The results and the methodological proposal are especially relevant considering the latest PISA (2018) conclusions on Romania characterising the national educational system as underperforming.