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Spinal ependymoma, the most common intramedullary tumour in adults, is generally located intradurally and intramedullarily. The presence of this tumor in the bulbo-medullary region is rarely documented in the medical literature.We present the case of a 33-year-old man with persistent torticollis and severe neck pain. Spinal cord magnetic resonance imaging revealed a lesion in the bulbo-medullary region. Subtotal resection of this lesion was performed, and anatomopathological and immunohistochemical analysis confirmed the diagnosis of ependymoma. Following surgery, the patient underwent post-operative radiotherapy.The standard therapeutic management of ependymoma is total tumor resection. However, the role of post-operative radiotherapy remains to be determined, although it is recommended in cases of subtotal resection. &nbsp

Identifying species and updating marine biodiversity is fundamental to understanding the evolution of ecosystems and adopting appropriate management strategies. These ecosystems are threatened by climate change causing species mobility, mortality, etc. An important zoological group in the marine ecosystem, octocoral gorgonians have a wide geographic and bathymetric distribution. However, the knowledge of their presence on the Atlantic West African coasts remains limited. Herein, we note the accurate geographic distribution of two species,Leptogorgia dakarensis(Stiasny, 1936) andEunicella racemosa(Milne Edwards & Haime, 1857), reporting their northern distributional limits. The gaps in the previous knowledge hypothesis of the oceanic warming effects explaining the northward mobility of these species are discussed here.

Dans cet article, bien que la mesure de la performance sociale soit difficile, en raison d’une myriade d’indicateurs de réflexion contingente, nous avons proposé une vision holistique de management de la performance sociale en tant que concept agrégé d’impact social. Après avoir examiné les raisons pour lesquelles la mesure de la performance sociale est devenu extrêmement importante pour divers intervenants dans la structure organisationnelle, nous avons essayé de conceptualiser cette notion en synthétisant à travers une grille d’analyse littéraire le socle des recherches empiriques antérieurs et en proposant des lignes directrices qui peuvent aider les praticiens et les chercheurs à élaborer une stratégie de mesure de la performance sociale qui répond à leurs besoins spécifiques.

L’objectif de cet article est d’identifier les facteurs affectant le comportement d'achat en ligne du consommateur marocain. En positionnant la présente recherche dans le courant positiviste au travers une approche hypothético-déductive, une étude quantitative utilisant un échantillonnage de convenance de 7395 utilisateurs d'achats en ligne a été réalisée. Les données ont été recueillies à l'aide d'un questionnaire. L'analyse factorielle est effectuée pour identifier la structure et la fiabilité interne des échelles de mesures identifiées en utilisant le logiciel SPSS version 24. En nous basant sur le logiciel SMART PLS version 3.0, nous avons mis en œuvre la méthode des équations structurelles afin de tester les hypothèses. Les résultats de l'étude suggèrent que le comportement des consommateurs d'achat en ligne est affecté par plusieurs facteurs tels que la Commodité, la Variété, la Confiance, le Prix perçu et le Risque perçu. Ce dernier facteur est lié à la performance, au paiement en ligne, au livraison et à l’attente de la vie privée. L’ensemble de ces facteurs jouent un rôle important dans le comportement d’achats en ligne.

This work describes the spatiotemporal analysis of microplastics (MPs) pollution in sediments collected on a high urbanized beach located in Taghazout coast, central Atlantic part of Morocco. The study area is mainly composed of moderately well-sorted fine sands with an average density of MPs that ranged between 915 MPs/kg in 2018 and 1448 MPs/kg in 2019. The most polluted sites were in the south part of Taghazout coast, close to facilities of where beachgoers are often found. Microplastic Pollution Index (MPPI), Microplastic Impact Coefficient (CMPI), Agglomerative Hierarchical Clustering (AHC), and Multidimensional Scaling (MDS) revealed spatiotemporal variation of MPs pollution. Thus, the principal component analysis (PCA) showed a low correlation between the sediment characteristics (i.e., grain size, sorting, skewness) and MPs densities. Overall, the outputs of this baseline recommend implementing plastic management strategies to eliminate or at least minimize the collateral effects generated by MPs pollution in sediments of urbanized beaches. Also see: https://micro2022.sciencesconf.org/423883/document, In MICRO 2022, Online Atlas Edition: Plastic Pollution from MACRO to nano

Our investigation within the framework of this study is carried out on three marine species fished off in Moroccan coasts namely: a fish, the sole (Solea Vulgaris), a cephalopod, the cuttlefish (Sepia Officinalis) and a crustacean, the pink shrimp (Parapenaeus Longirostris). The aims of this study is to assess the level of concentration in these three marine species, of three metallic trace elements: Lead (Pb), Cadmium (Cd) and Mercury (Hg) and giving a reflection on the way in which Moroccan deep-sea fishing professionals can join a food safety management system to ensure the safety of their product and promote their competitiveness. Sampling is carried out at the port of Agadir city after landing of the deep-sea fishing boats which operate beyond 10 nautical miles, offshoring the seabed of Agadir for pink shrimp (Parapenaeus Longirostris), and in Dakhla city offshore for sole (Solea Vulgaris) and cuttlefish (Sepia Officinalis). Trace metal analysis were performed on individual muscles belonging to the three species. The results of our investigations show that the Pb content varies between 0.01 ppm and 0.27 ppm in Solea Vulgaris; between 0.015 ppm and 0.16 ppm in Sepia Officinalis and between 0.022 ppm and 0.38 ppm for Parapenaeus Longirostris. For the Cd, the concentrations vary between 0.0047 ppm and 0.050 ppm in Solea Vulgaris; between 0.0025 ppm and 0.254 ppm in Sepia Officinalis and between 0.0065 ppm and 0.11 ppm in Parapenaeus Longirostris. Concerning Hg, the contents vary between 0.0006 ppm and 0.075 ppm in Solea Vulgaris; between 0.0008 ppm and 0.05 ppm in Sepia Officinalis and between 0.0016 ppm and 0.09 ppm in Parapenaeus Longirostris. It appears from this study that the metal contents detected at the level of the three species of seafood investigated are below the regulatory thresholds. These results can be considered as the first basis for validating the control measure linked to the absence of metallic contamination of the three species in the sites studied.

The aim of the present study is the first to evaluate the ecotoxic state of the marine environment in Anza-Taghazout coasts (Morocco) after installation of two Wastewater Treatment Plants using a natural population of marine bivalves M. galloprovincialis. These coasts are exposed to many discharges generating, thus, different sources of pollutants. These pollutants can modulate the physiological responses of marine bivalves to environmental stress. In this context, a multi-biomarker approach consisting of a battery of biomarkers evaluation was used to assess the response of these species to stress. In the whole soft tissues of M. galloprovincialis, four biomarkers were evaluated: Acetylcholinesterase (AChE), Glutathione S-transferase (GST), Catalase (Cat) and malondialdehyde activity (MDA). In parallel, physico-chemical parameters were measured in the marine water of Anza-Taghazout within three selected sites: S1 considered as ‘hotspot’ located at Anza city; S2 located near of Aourir city and the third site, S3 ‘reference’ located in Imouran beach. Our results showed that activities of both Gluthation-S-Transferase and Catalase were higher in M. galloprovincialis collected from site S1, but high values of Malondialdehyde and Acetylcholinesterase activities were observed successively at S3 and S2. Application of Integrated Biomarker Response index (IBR) was suitable for classifying the stress response in the M. galloprovincialis but did not allow to evaluate the level of the xenobiotic exposure in the studied sites. The statistical results did not show any significant differences between the three studied sites and therefore S1 has recently become clean due to the installation of two wastewater treatment plants.

Wastewater treatment plants (WWTPs) are some of the main sources of microplastics (MPs) in the environment. However, studies on the occurrence and removal efficiency of MPs in WWTPs are still scarce, especially in African countries. Thus, the aim of this work was to study the abundance of MPs in the influent and effluent of two WWTPs (Aourir and M'zar) from the Agadir metropolis (Moroccan Atlantic). The two WWTPs receive different wastewater inputs (domestic and industrial). In addition, the impacts of seasonality on the fate and removal efficiency were investigated. The results showed that the MPs abundance in the wastewater decreased from 188 MPs/L in the influent to 50 MPs/L in the effluent for Aourir WWTP (domestic inputs); while the abundance was greater in the M'zar WWTP (urban and industrial inputs) recording a mean value of 519 MPs/L and 86 MPs/L in the influent and effluent, respectively. MPs collected in the Aourir WWTP ranged from 290 to 3200 μm, while MPs from the M'zar WWTP, ranged from 330 to 4200 μm. Overall, the size range of 100-500 μm was the most abundant for both WWTPs. Fibers were the highest MPs morphotype found, followed by fragments. MP colors were mainly red, black, blue, and transparent for both treatment plants. Additionally, FTIR spectroscopy showed the presence of eight different polymers, mainly polyethylene (PE), polypropylene (PP), and polystyrene (PS). Seasonal variation analysis showed that MPs abundance in summer was significantly higher compared to other seasons. However, the comparison of the removal efficiency (RE) between the different seasons indicated that the winter season (74 %) recorded the highest RE for Aourir WWTP. Conversely, spring (87 %) recorded the highest RE for M'zar WWTP. SEM/EDX micrographs showed different degrees of weathering and chemical elements adhering to the surface of the MPs. The findings of the current study will serve as a baseline for future considerations about management strategies, wastewater reuse, as well as the understanding of the occurrence of microplastic pollution along the marine ecosystems of Morocco.

The restrictions related to the COVID-19 pandemic have led to a global hiatus in anthropogenic activities; several scientists have utilized this unique opportunity to assess the human impact on biological systems. In this study, the study describes for a period of five years (2018-2022) how the faunal community have been affected by human disturbances, as well as the effect of the "anthropause" period driven by the COVID-19 lockdown. The results confirmed human disturbances on faunal communities related to coastal urbanization. It was found that the "anthropause" period showed the highest values of abundance and biomass, hence the "COVID-19 lockdown" allowed recovery of faunal communities. The findings highlight the impact of human disturbances and that the community showed resilience. Overall, the authorities must perform restrictive measures aiming to mitigate the impact of anthropogenic activities in the study area including the banning of off-road and recreational vehicles, carrying out efficient cleaning and grooming operations, monitoring the severe harvesting of edible species, as well as penalizing the disposal of anthropogenic waste and sewage discharge from the touristic facilities. Likewise, management actions such as the temporal beach closures and the regular surveillance could be advantageous to provide a more sustainable exploitation of sandy beaches.

BACKGROUND: Agadir city plans to reuse treated wastewater on a large scale to irrigate these green spaces. This study aims to evaluate the risk of intestinal parasites, to which human and animal populations are exposed during the reuse of treated wastewaters. METHODS: Over 21 months, wastewater samples were collected in Bensergao and Mzar wastewater treatment plants, in Agadir city, southern Morocco. The occurrences and removal of intestinal parasites were inspected using the modified Bailenger method. RESULTS: The biodiversity of helminths is higher than protozoa, while the protozoa cysts are more abundant and more prevalent. Generally, the highest parasitic loads were recorded during the hot season. For raw waters, the average concentration of protozoa cysts was 173.33 ± 70.81 cysts per L for Bensergao plant and 179.33 ± 129.22 cysts per L for Mzar plant. However, the helminths average concentration was 48.70 ± 39.91 eggs/larvae per L for Bensergao plant and 51.10 ± 31.76 eggs/larvae per L for Mzar plant. The purified water of the Mzar plant does not contain parasites, unlike the Bensergao plant where a small numbers of parasites were detected, included 2.33 ± 1.53 cysts per L for protozoa and 0.45 ± 0.58 eggs/larvae per L for helminths. CONCLUSIONS: Considering parasitological risks, the purified waters of Bensergao plant cannot be used without risks to the public health and environment. In contrast, the purified waters and the purified waters disinfected by ultraviolet radiation from the Mzar plant can be used safely to water the green spaces of Agadir city.

In order to use the purified wastewater for the irrigation of a golf course in the Taghazout area (Southwestern of Morocco), this study was conducted to evaluate the physicochemical and bacteriological quality of the treated wastewater in the new Aourir plant (Activated Sludge technology). In order to achieve these objectives, three types of water were analyzed: raw water (RW), biologically treated water (BTW) and water treated by ultraviolet radiation (UV-TW). The physicochemical parameters analyzed were Temperature, pH, Electrical Conductivity (EC), Dissolved Oxygen (DO), Chemical Oxygen Demand (COD), five-day Biological Oxygen Demand (BOD5), Total Suspended Solids (SS), Nitrate (NO3), and Orthophosphates (PO4). Otherwise, the analyzed biological parameters are Total Coliforms (TC), Fecal Coliforms (FC), Escherichia coli (E. coli), and Fecal Streptococci (FS). The physicochemical parameters showed that temperature is always lower than 30°C, the pH is close to neutrality and a strong fluctuation of the high electrical conductivity (2700 μS/cm) occurs in UV-TW. At all stages of wastewater treatment, COD, BOD5, SS, NO3 and PO4 were below the limit values recommended by Moroccan standards. The bacteriological results showed a high level of bacterial contamination in RW and BTW, but in UV-TW the loads did not exceed 3 log10. The average loads of TC, FC, E. coli and FC in UV-TW were 2.13, 1.67, 1.77, and 2 (log10 CFU/100ml) respectively. Activated sludge treatment combined with UV has demonstrated sufficient quality to reuse treated water in irrigation; however, the UV treatment requires control to avoid any effect on the microbiological and physicochemical quality of green spaces and groundwater.

This work presents preliminary results about abundance, distribution, characteristics, sources, and fate of microplastics (MPs) in the Central Atlantic Ocean (CAO) of Morocco. The investigation was conducted into three subsections, each characterized by different types of human activities and covering rural, village, and urban areas. MPs were detected in 100 % of the sampling sites. The abundances varied from 0.048 to 3.305 items/m

The present work is a part of the impact study of the tourist resort "Taghazout Bay" installation on the coast of Taghazout (North of the Agadir bay). The purpose of this study is to assess the initial state of the macro-zoobenthic structure present in the intertidal sands at the three study stations over the 2016 and 2017 seasons. The biological approach is accompanied by the study of some physico-chemical parameters of the seawater (temperature, pH, salinity and dissolved oxygen) and the study of the sediment (grading structure, classification, and contents in organic matter). PCA analysis identified a perfect correlation between physico-chemical parameters. The sediment contains three grading classes only (Medium sand, fine sand, and very fine sand), very well classified with normal proportions of organic matter. The study of intertidal benthic macrofauna of the sandy substrate shows ten species and spatiotemporal variations with a clear dominance of the bivalve species Donax trunculus. We notice, from the DIMO model, that the variation profile of the spring and summer (2016 and 2017) shows a community dynamics called "Diversity type". In winter and in autumn, they know an "Evenness type". The rank-frequency diagram explains that the benthic community of Taghazout sandy coast exists in the stage "Pioneer 1". The ascending hierarchical clustering gave three logical gatherings of seasons. The faunistic structure of this benthic community revealed the shape M>C>P. We also notice that there is diversity in regimes in this ecosystem.

Downtimes due to ice formation on rotor blades reduce the economic efficiency of wind turbines. An accurate ice prediction is required to operate active de-icing measures such as blade heating as an anti-icing system. Building upon our previous research, this paper proposes the use of a convolutional neural network model with dual inputs and one-dimensional convolution filters using historical data from the wind turbine as well as weather forecasts to predict the ice situation for the next 24 hours. The model is validated using data from three different wind farms and shows an average balanced accuracy of 97.9%.

In the era of digitalization, electronic Kanban (e-Kanban) extends the traditional Kanban with additional data and information sharing that allows for more flexible and optimized inventory planning. The lack of automated fill level measurements for load carriers still hinders the full automation of the process. Our aim is to develop a self-learning e-Kanban system that automatically triggers replenishment orders using machine learning and data from low cost, autonomous sensor modules that measure the fill level of load carriers. This paper explains the concept and presents a first version of the mentioned sensor module that consists of an Intel Realsense sensor and an NVIDIA Jetson Nano. An evaluation is presented as well using small load carriers, which shows the suitability of the proposed method.

Le concept de la culture s���av��re crucial dans la sph��re manag��riale, cela ��tant donn�� qu���elle nous aide �� comprendre et �� pr��voir les ph��nom��nes du monde r��el. Le management ne peut jamais changer une culture nationale, il ne peut que la comprendre et l'utiliser. En revanche, il peut cr��er et parfois modifier une culture organisationnelle. En effet, l���objectif de cet article s���articule autour de la r��alisation d���une revue litt��raire synth��tique des ��tudes ayant trait��es le concept de la culture nationale et celui de la culture organisationnelle, leurs mod��les th��oriques et leurs impacts sur le leadeurship et sur la gestion des ressources humaines. Cela pour aider les managers �� comprendre et �� utiliser efficacement les param��tres culturels au moment de la prise de d��cisions.

Le concept de la culture s’avère crucial dans la sphère managériale, cela étant donné qu’elle nous aide à comprendre et à prévoir les phénomènes du monde réel. Le management ne peut jamais changer une culture nationale, il ne peut que la comprendre et l'utiliser. En revanche, il peut créer et parfois modifier une culture organisationnelle. En effet, l’objectif de cet article s’articule autour de la réalisation d’une revue littéraire synthétique des études ayant traitées le concept de la culture nationale et celui de la culture organisationnelle, leurs modèles théoriques et leurs impacts sur le leadeurship et sur la gestion des ressources humaines. Cela pour aider les managers à comprendre et à utiliser efficacement les paramètres culturels au moment de la prise de décisions.

Ice formation on rotor blades of wind turbines cause significant downtimes in cold regions. Existing ice sensors can detect, but cannot predict ice. Therefore, our research aims to develop an ice prediction system based on historical and forecasted data. In a first step, the detection process is analyzed in this research paper. Two machine learning models are trained using minimalistic input parameters. A full-factorial experiment design is performed for the models, using the fl-score as the response variable. The most significant input parameter was the external temperature for both models.

Ice formed on wind turbines not only causes economic damage but also poses a risk to nearby humans. Countermeasuring ice formation requires reliable detection systems. Existing ice detection solutions have improved with time, but are still not sufficiently accurate. This paper investigates the use of different convolutional neural networks (CNNs) and RGB images taken from cameras installed on the nacelle of wind turbines to detect ice on the rotor blades. In our research, the VGG19 model achieved the best performance with an accuracy and an f1-score of (96 ± 2) %.

Halophilic bacteria are a group of microorganisms living in saline environments and in some cases need the salinity to survive. Furthermore,these bacteria species have the potential for interesting and promising applications. In fact, this is due not only to their ability to adapt to extreme physico-chemical conditions but also because many of them they produce interesting substances for the industry such as extracellular hydrolytic enzymes.The present study aims to isolate and characterize halophilic bacteria producing hydrolase enzymes from twosalinesin Sidi Moussa-Oualidia complex (Morocco) and to screen their potential to produce hydrolase enzymes. In this study, 15 halophilic bacteria were identified and analyzed for their ability to produce extracellular enzymes. The phylogenetic analysis based on 16S rDNA sequencing indicated that the 15 isolated strains belong to the genera Bacillus, Oceanobacillus and Virgibacillus. The study of enzymatic activity revealed that all isolates studied were capable of producing at least one extracellular hydrolytic enzyme of which 9 produced amylase, 6 cellulase, 13 DNase, 11 lipase, and 8 protease. In addition to their ability to produce extracellular hydrolytic enzymes, our isolates have demonstrated their potential adaption to extreme Physico-chemical conditions. These properties could allow them to be used for many industrial applications.

This study describes the contamination, accumulation, and ecological risk assessment of five trace metals (Cd, Pb, Cu, Zn, and Cr) in sediments of an urbanized beach in the central Atlantic coastline of Morocco. The two-year investigation (2018 and 2019) included six sampling sites along a 6 km coastal reach. In both years, none of the studied trace metals exceeded the background or the sediment quality guidelines (SQGs). The eco-toxicological indices revealed low degree of contamination, unpolluted ecosystem, and low ecological risk of metals. However, Cd exceeded the background value and some SQGs following the increase of anthropogenic activities in 2019. Likewise, it indicated unpolluted to moderately polluted sediment as well as moderate ecological risk. Overall, it is highly recommended to mitigate the avoidable anthropogenic activities (marine litter generation, sewage discharge, intense urbanization, and vehicle traffic on the beach) that lead to the elevation of metal pollution in the study area.

Weather conditions have a significant impact on the installation of offshore wind turbines. The rules for installation set clear limits. These limits are usually based on estimations of various experts and not on real assumptions and measurements on-site. When wind speeds and wave heights are too high, work cannot be carried out, and this leads to delays and additional costs. Therefore, we have carried out a measurement campaign during the installation of rotor blades to investigate to which extent the limits can be adjusted by using a tuned mass damper. The results from the measurement campaign—specifically empirically derived significant wave height limits—are used in a discrete event simulation. This study simulates delays resulting from weather conditions. Based on this, the total installation costs are considered. The results of the measurement campaign show that a safe installation with the use of a damper is possible at wave heights of up to 1.6 m. With the discrete event simulation, it is possible to prove that 17.9% can be saved for the costs of the installation vessel. In addition, the wind farm could be erected 32 days faster. Thus, it can be stated that the use of a tuned mass damper simplifies the installation from a technical point of view and is economical.

Weather conditions have a significant impact on the installation of offshore wind turbines. The rules for installation set clear limits. These limits are usually based on estimations of various experts and not on real assumptions and measurements on-site. When wind speeds and wave heights are too high, work cannot be carried out, and this leads to delays and additional costs. Therefore, we have carried out a measurement campaign during the installation of rotor blades to investigate to which extent the limits can be adjusted by using a tuned mass damper. The results from the measurement campaign—specifically empirically derived significant wave height limits—are used in a discrete event simulation. This study simulates delays resulting from weather conditions. Based on this, the total installation costs are considered. The results of the measurement campaign show that a safe installation with the use of a damper is possible at wave heights of up to 1.6 m. With the discrete event simulation, it is possible to prove that 17.9% can be saved for the costs of the installation vessel. In addition, the wind farm could be erected 32 days faster. Thus, it can be stated that the use of a tuned mass damper simplifies the installation from a technical point of view and is economical.

The marine environment plays a major socio-economic role in the Agadir region (south-west Morocco). This area, which hosts important fishery resources, is currently not spared from the pollutants resulting from agricultural, domestic, industrial and tourist development. The aim of this study is to assess the impact of the tourist resort Taghazout bay on the bacteriological and physicochemical quality of the coastal waters of Taghazout. Seawater samples were collected between March 2016 and March 2018 at three sampling sites (S1, S2 and S3) in order to monitor the concentrations of fecal coliforms (FC), fecal streptococci (FS) and total germs (TG). The results of physico-chemical parameters show seasonal fluctuations influenced by climatic factors. The spatio-temporal monitoring of bacteriological parameters shows that the average total germ count is 127.05 CFU/100ml, 39.61 CFU/100ml for fecal coliforms and 15.21 CFU/100ml for fecal streptococci. The values of FC80, FC95 and FS90 do not exceed the guide values of Moroccan standards. This classifies Taghazout beach in category A (Good quality of bathing water). The monitoring analysis recorded by the Pearson correlation test between the environmental parameters and the level of fecal bacteria showed that there was a significant positive correlation between FC concentrations and rainfall, the FS concentrations showed significant positive correlations with all the environmental parameters while the TG concentrations indicate no correlation with them. Fecal contamination parameters should be routinely monitored for improving the environmental conditions of coastal cities. This must be the case for the Taghazout coastline where a regular monitoring program must be established to evaluate the impact of the new tourist resort "Taghazout bay" on the environmental quality of this ecosystem.

In order to use purified wastewater on watering green spaces of Agadir city, we conducted this study to assess the bacteriological and physicochemical quality of treated wastewater in Mzar treatment plant. To realize these objectives, we analyzed four types of waters: raw water (RW), decanted water, purified water and purified water treated by the ultraviolet radiation (PWUV). The biologically analyzed parameters are fecal coliforms (FC) and fecal enterococci (FE). The physicochemical parameters are: pH, electrical conductivity, chemical oxygen demand (COD), five-day biological oxygen demand (BOD5) and total suspended solids (TSS). The results showed a high level of bacterial contamination in all types of waters, and the average loads of FC were between 4.71 × 106 CFU/100 mL (RW) and 1.45 × 103 CFU/100 mL (PWUV), while loads of FE were between 2.62 × 105 CFU/100 mL (RW) and 7.92 CFU/100 mL (PWUV). The physicochemical parameters show a pH close to neutrality and a high electrical conductivity (3261 μS/cm) in PWUV. In all stages of wastewater treatment, values of COD, BOD5 and TSS were under the limit values recommended by Moroccan standards. Except for the electrical conductivity and FC, all the studied parameters were under the limit values requested by the Moroccan standards. The microbiological quality of PWUV is unstable, and if these waters are reused, they can affect the microbiological and physicochemical quality of green spaces and groundwater.

In cold regions like Northern Europe or Northern America, formation of ice on wind turbines not only reduces the power output of the system, but also leads to wind turbine breakdowns and poses a risk to nearby vehicles and people. Economical solutions for anti-icing systems such as preventive heating are required. Purely meteorological icing predictions are not sufficient to accurately predict icing on wind turbines. Therefore, this paper proposes an icing prediction approach that uses historical weather data and data from a supervisory control and data acquisition (SCADA) system plus methods from supervised machine learning to predict the risk of icing. The first results of the prediction model show its capability to predict most of the icing events. The discussion shows that the model should consider more meteorological data that describe the icing risk such as humidity or liquid water content to achieve better prediction results. The final aim is a prediction system that will use real-time data to determine icing risks hours beforehand, allowing the operation of existing anti-icing systems more efficiently.