IMPACT DE LA FRACTURATION SUR L’ARCHITECTURE DU RESEAU HYDROGRAPHIQUE (CAS DE LA REGION DE SMAALA, MAROC CENTRAL HERCYNIEN) APPORT DU SIG ET DE LA TELEDETECTION

In the Smaala area, Paleozoic rocks crop out and are structured by the Hercynian orogeny. The hydrographic network is dense and displays various flow directions. It consists of temporary streams that eventually lead to the Grou river. Analysis of the Landsat TM satellite image can extract lineament network. The majority of these lineaments coincide with geological fractures identified on the field. Their distribution is organized around four major directions: NE-SW, N-S, NW-SE and E-W. The comparison of the statistics of the hydrographic network with those of lineaments shows that the majority of rivers are affected by geological structures, especially the fracturing. The topography of the area also has a secondary impact on the water circulation, by the presence of slopes generally oriented North-West and North

IMPACT DE LA FRACTURATION SUR L’ARCHITECTURE DU RESEAU HYDROGRAPHIQUE (CAS DE LA REGION DE SMAALA, MAROC CENTRAL HERCYNIEN) APPORT DU SIG ET DE LA TELEDETECTION

In the Smaala area, Paleozoic rocks crop out and are structured by the Hercynian orogeny. The hydrographic network is dense and displays various flow directions. It consists of temporary streams that eventually lead to the Grou river. Analysis of the Landsat TM satellite image can extract lineament network. The majority of these lineaments coincide with geological fractures identified on the field. Their distribution is organized around four major directions: NE-SW, N-S, NW-SE and E-W. The comparison of the statistics of the hydrographic network with those of lineaments shows that the majority of rivers are affected by geological structures, especially the fracturing. The topography of the area also has a secondary impact on the water circulation, by the presence of slopes generally oriented North-West and North

Securing Essential Rights in Times of Pandemic: Healthcare Access in Morocco during the Covid-19 Crisis

The Covid-19 pandemic has put the Moroccan healthcare system to the test. Although the government of Morocco has successfully contained an exponential spread of cases thus far in comparison to neighbouring Europe, the health emergency highlighted the country\u2019s own \u2018pandemic\u2019: a crumbling public sector, poor human resources, regional and class-based inequalities, poor governance and corruption. Based on the analysis of press articles, key documents, policy measures, and royal discourses, this paper aims to provide a timely review of healthcare in Morocco and assess Covid-19's impact on it. Moving from the opportunities and barriers to the right to health, we explore the social and political implications of the pandemic. We find that the Palace strengthened its role by capitalising on its credibility and well-established networks, while other political actors appear increasingly detached from people\u2019s everyday challenges. Furthermore, by securitising the health threat, the regime abdicates its responsibilities and further infringes on other rights, like press freedom

Bilevel programs with extremal value function: global optimality

For a bilevel program with extremal value function, a necessary and sufficient condition for global optimality is given, which reduces the bilevel program to a max-min problem with linked constraints. Also, for the case where the extremal value function is polyhedral, this optimality condition gives the possibility of a resolution via a maximization problem of a polyhedral convex function over a convex set. Finally, this case is completed by an algorithm

Processing and decisions relating to water resources data: The case of Morocco

The national water strategy has been an essential vector of government strategy for a long time. The management of water resources is an integral part of the economic development of Morocco. Nevertheless, the definition of the strategic axes of this component and the adequate decision-making depends directly on the collection and use of all the data relating to water resources. If big data technologies present a suitable solution to ensure optimal and rapid use of its data, the success of functional and technical designs can only be provided after total control of the processing and decision-making processes relating to the water domain. In this paper, we will try to identify the aspects relating to the processes of data collection, processing, consolidation, and decision-making through the use of the results of field surveys and interviews with business managers

Use of a New Bio-flocculent Extracted from Moroccan Cactus in the Treatment of Polyphenol-laden Waste by the Flocculation Coagulation Process

Olive cultivation is currently the subject of great exposure (Ministry of Agriculture and Maritime Fishing, 2015), and as a consequence of the implementation of the national olive cultivation development programme, an area of 1,220,000 ha (+ 120%) and a total olive production of 2,500,000 tonnes/year (+ 70%) are among the objectives of the Green Morocco Plan by 2020. The olive sector has experienced a very important movement in the context of the 2017-2018 campaign, which Morocco should record a volume never reached before, with a production record estimated at 1.56 million tons, the production of this campaign shows an increase of 47.8% compared to the previous season. In this work, we determined the efficiency of a new biodegradable natural flocculant extracted from the prickly pear Opuntia ficus indica in a physico-chemical process by coagulation-flocculation, to treat liquid discharges loaded with organic matter and phenols difficult to degrade. The tests were carried out on six well-preserved samples subjected to increasing concentrations of coagulant and flocculant after adjustment of the pH. The results obtained are very encouraging for this type of physico-chemical treatment and work is still in progress until there is a significant improvement in the rate of abatement of the pollutant load

Ethereum Cryptocurrency Entry Point and Trend Prediction using Bitcoin Correlation and Multiple Data Combination

International audienceDeep learning methods have achieved significant success in various applications, including trend signal prediction in financial markets. However, most existing approaches only utilize price action data. In this paper, we propose a novel system that incorporates multiple data sources and market correlations to predict the trend signal of Ethereum cryptocurrency. We conduct experiments to investigate the relationship between price action, candlestick patterns, and Ethereum-Bitcoin correlation, aiming to achieve highly accurate trend signal predictions. We evaluate and compare two different training strategies for Convolutional Neural Networks (CNNs), one based on transfer learning and the other on training from scratch. Our proposed 1-Dimensional CNN (1DCNN) model can also identify inflection points in price trends during specific periods through the analysis of statistical indicators. We demonstrate that our model produces more reliable predictions when utilizing multiple data representations. Our experiments show that by combining different types of data, it is possible to accurately identify both inflection points and trend signals with an accuracy of 98%

Cytokine-armed dendritic cell progenitors for antigen-agnostic cancer immunotherapy

Dendritic cells (DCs) are antigen-presenting myeloid cells that regulate T cell activation, trafficking and function. Monocyte-derived DCs pulsed with tumor antigens have been tested extensively for therapeutic vaccination in cancer, with mixed clinical results. Here, we present a cell-therapy platform based on mouse or human DC progenitors (DCPs) engineered to produce two immunostimulatory cytokines, IL-12 and FLT3L. Cytokine-armed DCPs differentiated into conventional type-I DCs (cDC1) and suppressed tumor growth, including melanoma and autochthonous liver models, without the need for antigen loading or myeloablative host conditioning. Tumor response involved synergy between IL-12 and FLT3L and was associated with natural killer and T cell infiltration and activation, M1-like macrophage programming and ischemic tumor necrosis. Antitumor immunity was dependent on endogenous cDC1 expansion and interferon-γ signaling but did not require CD8+T cell cytotoxicity. Cytokine-armed DCPs synergized effectively with anti-GD2 chimeric-antigen receptor (CAR) T cells in eradicating intracranial gliomas in mice, illustrating their potential in combination therapies

A model for estimating systemic toxicity points-of-departure using chemical, biological, kinetic and study covariates

Presented at the Annual Society of Toxicology meetin