Hassan II University Mohammedia - Casablanca

www.univh2m.ac.ma
Kenitra, Morocco
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Mezhar A.,Hassan II University Mohammedia - Casablanca | Ramdani M.,Hassan II University Mohammedia - Casablanca | El Mzabi A.,University of Economic Sciences
Journal of Engineering and Applied Sciences | Year: 2017

Stock market prediction has grown to be an interesting and intriguing research area in the field of big data analytics, predictive analytics and statistical analysis. The field of stock prediction has employed machine learning and artificial intelligence techniques to forecast the behavior of the financial market and to predict stock prices. Recently, social media has evolved to incorporate a massive amount and variety of textual data. The analysis of this information furthers the mining of public sentiment and opinions about real-time trends. In addition, the study of the inherently complex social media feeds promises new opportunities to discover empirical regularities to measure economic activity and analyze economic behavior at high frequency and in real-time. However, the noisy and short nature of social media feeds mask this information: unlike structured news content, social media content is characterized by the presence of metadata related to social media sites, (e.g., hashtags for Twitter) and the extensive usage of casual language, unstructured grammar, colloquial words, ad hoc multi-token nonstandard lexical items such as acronyms and abbreviations that need situational context to be interpreted and don't fit with traditional technical analysis simply based on forecasting models. Under those purposes and in order to meet the trading challenge in today's global market, technical analysis must be reconsidered. Before using any analysis model, data need to be preprocessed and regularities must be reviewed. So, the precision of the forecasting and prediction systems of the financial market and stock prices will be optimized and improved, also the accuracy of the data analysis models will be higher than state-of-art models. In this context, this study introduces the challenges of the noisy information overload from social media, gives a brief description of stock market prediction and its methodologies. Then, we discuss some of the current methods of stock prediction methodologies and emphasis the need of new improved ones which are more adapted to the context of noisy data. Finally, we present a new approach for the financial market forecasting and prediction which uses data preprocessing and normalization from noisy data in Twitter. The strong influence of the proposed data normalization model on the proposed approach's precision and accuracy can lead to a better results than traditional ones. © Medwell Journals, 2017.


PubMed | Karolinska Institutet, McMaster University, Hassan II University Mohammedia - Casablanca, Great Ormond Street Hospital and 20 more.
Type: Journal Article | Journal: Journal of pediatric urology | Year: 2016

Ten years after the consensus meeting on disorders of sex development (DSD), genital surgery continues to raise questions and criticisms concerning its indications, its technical aspects, timing and evaluation. This standpoint details each distinct situation and its possible management in 5 main groups of DSD patients with atypical genitalia: the 46,XX DSD group (congenital adrenal hyperplasia); the heterogeneous 46,XY DSD group (gonadal dysgenesis, disorders of steroidogenesis, target tissues impairments ); gonosomic mosaicisms (45,X/46,XY patients); ovo-testicular DSD; and non-hormonal/non chromosomal DSD. Questions are summarized for each DSD group with the support of literature and the feed-back of several world experts. Given the complexity and heterogeneity of presentation there is no consensus regarding the indications, the timing, the procedure nor the evaluation of outcome of DSD surgery. There are, however, some issues on which most experts would agree: 1) The need for identifying centres of expertise with a multidisciplinary approach; 2) A conservative management of the gonads in complete androgen insensitivity syndrome at least until puberty although some studies expressed concerns about the heightened tumour risk in this group; 3) To avoid vaginal dilatation in children after surgical reconstruction; 4) To keep asymptomatic mullerian remnants during childhood; 5) To remove confirmed streak gonads when Y material is present; 6) It is likely that 46,XY cloacal exstrophy, aphallia and severe micropenis would do best raised as male although this is based on limited outcome data. There is general acknowledgement among experts that timing, the choice of the individual and irreversibility of surgical procedures are sources of concerns. There is, however, little evidence provided regarding the impact of non-treated DSD during childhood for the individual development, the parents, society and the risk of stigmatization. The low level of evidence should lead to design collaborative prospective studies involving all parties and using consensual protocols of evaluation.


Malih I.,Pasteur Institute of Morocco | Malih I.,Monash University | Malih I.,Hassan II University Mohammedia - Casablanca | Ahmad rusmili M.R.,Monash University | And 4 more authors.
Journal of Proteomics | Year: 2014

The proteome of the venom of Naja haje legionis, the only medically important elapid species in Morocco, has been elucidated by using a combination of proteomic techniques that includes size exclusion chromatography, reverse-phase HPLC, Tricine/SDS-Page, tryptic digestion, Q-TOF tandem mass spectrometry and database search. The sequence analysis of venom fractions revealed a highly complex venom proteome which counts a total of 76 proteins identified from database that can be assigned into 9 proteins families. We report the identification of: cobra venom factor (CVF), l-amino-acid oxidases (LAAO), acetylcholinesterase (AChE), snake venom metalloproteinases (SVMP), cysteine rich secretory proteins (CRISP), venom nerve growth factor (vNGF), phospholipases A2 (PLA2), vespryns, kunitz-type inhibitor, short neurotoxins, long neurotoxins, weak neurotoxins, neurotoxin like proteins, muscarinic toxins, cardiotoxins and cytotoxins. Comparison of these proteins showed high sequence homology with proteins from other African and Asian cobras. Further works are needed to assess the contribution of individual toxins in venom toxicity. Biological significance: Naja haje legionis is one of the medically important snakes implicated in the pathogenesis of snake bite in Morocco. The absence of information about venom composition and clinical manifestations of envenomation by this cobra represents an obstacle for the management of this environmental disease in the country. The elucidation of Moroccan cobra venom composition will provide a reasonable guidance for clinician to understand the pathophysiological conditions associated with cobra envenomation and the elaboration of better management strategies. © 2013 Elsevier B.V.


Broumi S.,Hassan II University Mohammedia - Casablanca | Smarandache F.,University of New Mexico
FUSION 2014 - 17th International Conference on Information Fusion | Year: 2014

In this paper we proposed a new distance and several similarity measures between interval neutrosophic sets. © 2014 International Society of Information Fusion.


Daief Z.,Hassan II University | Borja A.,Tecnalia | Joulami L.,Hassan II University Mohammedia - Casablanca | Azzi M.,Hassan II University | And 2 more authors.
Ecological Indicators | Year: 2014

Rapid coastal development in recent decades has resulted in littoral environmental degradation in Morocco. Casablanca, considered as the economic metropolis driver of the country, is highly impacted by the excess of pollution rejected directly on its shores. The present study aimed at assessing, for the first time, the ecological status (ES) of urban sandy beaches using the Multivariate AZTI Marine Biotic Index (M-AMBI). Five sampling urban beaches around Casablanca [Petite Zenata (PZ), Grande Zenata (GZ), Ain Diab (AD), Sidi Abderrahmane (SD) and Sidi Rahal (SR)] were chosen so as to include a variety of stresses. They were monitored from May 2009 to April 2010 for water and sediment physico-chemical characteristics as well as for their benthic macrofauna in the saturation zone. According to water and sediment analyses, the overall pattern of environmental quality status revealed that wastewater and sewage are significant sources of urban sandy beaches pollution around Casablanca. In the first place, the PZ beach, and, secondarily, the GZ beach were evidenced as the most impacted locations. Both beaches presented high organic matter levels and faecal contamination in the water column that exceeded the human health standards. Furthermore, the total organic carbon (TOC) concentrations in sediment highlighted an evident organic enrichment, mainly at PZ beach (TOC > 20%). However, metal contamination was more evident in sediment than in the water column and exceeded rarely the Severe Effect Level. The benthic macrofauna was composed of a total of 28 taxa and revealed intra- and inter-beaches variations. Reference Conditions for the M-AMBI were selected according to historical reference condition combined to expert judgment based on historical data. Globally, M-AMBI worked well on assessing the ES under eutrophication stress due to excess nutrients input. The worst ES was recorded at PZ beach with most of time in bad ES. However, the spatio-temporal changes in the ES were not usually related to the various stressors despite the significant correlations observed between the M-AMBI and some physicochemical features of water and sediment. Sandy beaches are regarded as naturally stressed environments. The wide variations in their environmental conditions make it difficult to discern natural from human-induced changes. Therefore, the "Sandy Beach Quality Paradox" concept is proposed and will certainly be evolved concurrently with the assessment of the ES of sandy beaches. This first attempt on assessing the status of urban sandy beaches of Northeastern Atlantic (Morocco) should be considered as a first step towards more comprehensive and robust evaluation of the impact of human pressures on sandy beaches. © 2014 Elsevier Ltd.


Essiarab F.,Hassan II University Mohammedia - Casablanca | Taki H.,Hassan II University Mohammedia - Casablanca | Lebrazi H.,Hassan II University Mohammedia - Casablanca | Sabri M.,CNSS Ziraoui Polyclinic | Saile R.,Hassan II University Mohammedia - Casablanca
Ethnicity and Disease | Year: 2014

Objectives: Our study aimed to study the impact of obesity and metabolic syndrome (MetS) on lipoprotein profiles and cardiovascular risk through lipid ratios and atherogenic index of plasma (AIP) in Moroccan women. Methods: Our study included 240 Moroccan women, aged 53.31 ± 8.51 years, divided into three groups: controls (group 1, n=80), obese without MetS (group 2, n=80) and obese with MetS (group 3, n=80). Anthropometric and lipid measurements were taken and specific lipid ratios assessed, as well as Non-HDL cholesterol (Non-HDL-C) and atherogenic index of plasma (AIP). Results: Group 2 presented similar lipoprotein profiles compared with group 1. Group 3 had higher triglyceride (TG) levels than group 1, which, in turn, increased HDL and AIP values. Dyslipidemia in group 3 was demonstrated by higher TG levels, lipid ratios and AIP and lower HDL-C levels compared with group 2. All of these abnormalities are responsible for elevations of risks of cardiovascular diseases. Closer associations were found between cardiovascular risk and lipid ratios and AIP than lipids alone. Conclusion: Our study confirms that MetS affects the serum lipoprotein profile of obese women. Lipid ratios, nonHDL-C and AIP remain useful tools for the diagnosis and prognosis of cardiovascular disease by their associations with lipid parameters and their high predictive values.


Elmouki I.,Hassan II University Mohammedia - Casablanca | Saadi S.,Hassan II University Mohammedia - Casablanca
International Journal of Dynamics and Control | Year: 2016

The Bacillus Calmette-Guerin immunotherapy (BCG) is a clinical procedure used as the treatment by success for superficial bladder cancer. However, the toxicity of BCG, its maintenance schedule, optimal amount of dosage sufficient for the destruction of cancerous cells and its efficiency remain all unclear due to the lack of published data. We serve in this paper the optimization of BCG treatment by seeking the optimal dose we inject in the bladder during the intravesical therapy for a hypothetical patient. We outline the different steps of resolution of an optimal control problem resolved using the Pontryagin’s maximum principle. The theoretical approach lead us to use the forward-backward sweep method and the secant-method as the appropriate numerical technique to solve a two-point boundary value problem with an isoperimetric constraint on the control process function representing the optimal concentration suggested to use in each instillation of BCG. © 2014, Springer-Verlag Berlin Heidelberg.


Elmouki I.,Hassan II University Mohammedia - Casablanca | Saadi S.,Hassan II University Mohammedia - Casablanca
Optimal Control Applications and Methods | Year: 2015

Our prime objective of the study is to exhibit the advantage to introduce a quadratic control in place of linear control in a cost function to be minimized, and that is associated to an optimal control problem that we formulate for a pre-validated model of bacillus Calmette-Guérin (BCG) immunotherapy in superficial bladder cancer. The compartmental model of interest is in the form of a nonlinear system of four ordinary differential equations that describe interactions between the used BCG strain, tumor cells, and immune responses. Previous studies reported that the optimal dose of BCG for treating bladder cancer is yet unknown. Hence, we aim to establish the optimization approach that can be applied for determining the values of the optimal BCG concentration along the therapy period to stimulate immune-system cells and reduce cancer cells growth during BCG intravesical therapy. Pontryagin's maximum principle and the generalized Legendre-Clebsch condition are employed to provide the explicit formulations of the sought optimal controls. The optimality system is resolved numerically based on a fourth-order iterative Runge-Kutta progressive-regressive scheme, which is used to solve a two-point boundary value problem. © 2015 John Wiley & Sons, Ltd.


Moummadi K.,Hassan II University Mohammedia - Casablanca | Abidar R.,Hassan II University Mohammedia - Casablanca | Medromi H.,Hassan II University Mohammedia - Casablanca
International Journal of Mobile Computing and Multimedia Communications | Year: 2012

The growth of technological capabilities of mobile devices, the evolution of wireless communication technologies, and the maturity of embedded systems contributed to expand the Machine to machine (M2M) concept. M2M refers to data communication between machines without human intervention. The objective of this paper is to present the grand schemes of a model to be used in an agricultural Decision support System. The authors start by explaining and justifying the need for a hybrid system that uses both Multi-Agent System (MAS) and Constraint Programming (CP) paradigms. Then, the authors propose an approach for Constraint Programming and Multi-Agent System mixing based on controller agent concept. The author s pre sent concrete constraints and agents to be used in a distributed architecture based on the proposed approach for M2M services and agricultural decision support. The platform is built in Java using general interfaces of both MAS and Constraint Satisfaction Problem (CSP) platforms and the conception is made by agent UML (AUML). Copyright © 2012, IGI Global.


Madiafi M.,Hassan II University Mohammedia - Casablanca | Bouroumi A.,Hassan II University Mohammedia - Casablanca
Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012 | Year: 2012

We propose a competitive fuzzy-neuro model for image compression. This model is based on a new unsupervised fuzzy learning algorithm, designed for optimal training of competitive neural networks. Experimental results show that the proposed model can perform better than other well-known methods of its category, including FCM and IFLVQ. Typical examples of these results are presented and discussed. © 2012 IEEE.

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