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    卡迪亚亚德大学

    Cadi Ayyad University
    院校EST. 1978uca.ma
    1.3万论文总数
    22.9万引用总数

    Cadi Ayyad University (Arabic: جامعة القاضي عياض jāmiʿat al-qāḍī ʿayyāḍ, French: Université Cadi Ayyad) is a university in Marrakesh and one of the largest universities in Morocco. One of its associated colleges, the École nationale des sciences appliquées de Marrakech (ENSA Marrakech), was created in 2000 by the Ministry of Higher Education and specializes in engineering and scientific research. Cadi Ayyad University was established in 1978 and operates 13 institutions in the Marrakesh-Safi region of Morocco in four main cities, including Kalaa of Sraghna, Essaouira and Safi in addition to Marrakesh.

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    论文(10000)

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    1Impulse Controllability for Parabolic Equations with Interior Degeneracy and Neumann Boundary Conditions Via Spectral Inequality
    Brahim Allal, Ilham Ouelddris
    2027Evolution Equations and Control Theory(2027)
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    2A Mathematical Model with State-Dependent Delay for Cell Population Dynamics
    Mostafa Adimy, Nohayla Alaoui,My Lhassan Hbid
    2027Discrete and Continuous Dynamical Systems - S(2027)
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    3Integrating Geochemistry, ASTER Spectral Indices and Statistical/machine Learning Models for Co Prediction in the Bou Azzer Ultramafic Complex (Morocco)
    M'hamed El Janati, Soukaina Mokrane,Warda El Moume,Mohamed Bhilisse, Zacharie Ntihebuwayo, Taha Ghadi

    This study mobilizes machine learning (ML) and statistical models to predict Co concentrations and classify anomalies in the Bou Azzer ultramafic Complex of the, which hosts significant Co-Ni-Fe mineralization. Based on a dataset comprising geochemical analyses, enriched with ASTER-derived spectral indices (e.g., Serpentinite index, Ferric Index), we applied three regression models: LR as statistical baseline, PLS regression as multivariate statistical method and RF regression as primary ML algorithm in order to predict Co concentrations, while their corresponding version enabled binary anomaly. A 5-fold nested cross-validation framework, with internal feature selection, was used to ensure solid performance and unbiaised performance evaluation, addressing challenges such as small sample size, multicollinearity (e.g., Sc vs. MgO: r = 0.85), and outliers (e.g., 69 ppm Co). PLS Regression outperformed the others models, achieving a MAE of 5-7 ppm, an Area AUC-PR of 0.94, an AUC-ROC of 0.98, and an R2 of 0.60-0.70. Predictive maps align closely with known Co anomalies along the Bou Azzer Fault, highlighting the critical role of serpentinization as a process creating favorable lithological and alteration conditions for Co mineralization. Feature importance analysis confirms Sc (r = 0.883), MgO (0.867), and Ni (0.786) as key drivers of Co distribution. Despite limitations from the small dataset and complex mineralization, this study demonstrates ML's potential to enhance cost-effective, sustainable exploration, offering a scalable framework for targeting critical metals in ultramafic terrains globally.

    2027JOURNAL OF GEOCHEMICAL EXPLORATION(2027)
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    4Eco-friendly Compressed Earth Blocks Stabilized with Basalt Powder: Mechanical, Thermal and Environmental Assessment
    Fatima Zohra Bouhlali,Ismail Arroub,Rachid Bouferra,Zaineb Bakkali,Ahmed Bahlaoui,Younes Bahammou,Mohamed Essaleh

    The transition toward greener construction practices calls for innovative material solutions that reconcile structural performance, thermal comfort, and environmental responsibility. In this context, this study investigates basalt powder (BP), used as a standalone mineral stabilizer for compressed earth blocks (CEBs). Basalt powder and soil were characterized by XRD, SEM, and FTIR, and CEB specimens were prepared with BP contents ranging from 0% to 20%. Results show that BP incorporation improves particle packing, increasing density and reducing porosity up to 15% BP, corresponding to a maximum dry compressive strength of 5.43 MPa (+36.8%), before decreasing at higher dosages due to excessive fine-particle agglomeration. Thermal conductivity decreases continuously with BP content (−15.8% at 20% BP), while thermal inertia improves, as reflected by reduced diffusivity, effusivity, and damping factor. From an environmental standpoint, a comparison with a cement-stabilized reveals an 83% reduction in embodied carbon for the optimal formulation (CEB-BP15), confirming basalt powder as an effective pathway toward more sustainable CEB production.

    2027Next Materials(2027)
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    5Durability Performance of Concrete Incorporating Calcined Montmorillonite-Rich Marl from Mine Interburden
    Abdelmoujib Bahhou,Yassine Taha,Rachid Hakkou,Mostafa Benzaazoua,Arezki Tagnit-Hamou

    Abstract The long-term performance of concrete structures depends critically on their durability, governed by transport mechanisms within the matrix. This study aims to determine whether carbonate-rich calcined marl derived from Moroccan phosphate waste can enhance transport-related durability properties of concrete while maintaining long-term mechanical performance at high substitution levels. Concrete mixtures were designed with varying water–binder ratios (0.45 and 0.55) and substitution levels (up to 40% by weight) to evaluate workability, mechanical performance, and durability. Incorporating calcined marl improved electrical resistivity, reduced water absorption, and enhanced sulfate resistance due to its pozzolanic activity and pore refinement effect. Although early-age strength decreased slightly because of dilution, long-term strength development was remarkable, reaching 81% above the control mix at 365 days. The main limitation observed was reduced carbonation resistance, which requires further investigation for practical applications.

    2027Journal of Materials in Civil Engineering(2027)
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