Search

The objective of this study is to determine the larvicidal activity of essential oils (EOs) extracted from three plants of the genus Artemisia against the mosquito Culex pipiens (C. pipiens) using in vitro and in silico studies. A total number of 20 third- and fourth-instar larvae were exposed to various concentrations of the three plants. The LC50 and LC90 values of the tested Artemisia EOs were determined using Probit analysis. In addition, the sensitivity of C. pipiens to these EOs was determined and compared against a standard insecticide, temephos, under laboratory conditions. Furthermore, in silico assessments were carried out on the major constituents to help understand and explain the acquired in vivo results. Gas chromatography analysis identified the major compounds as d-limonene and β-pinene for Artemisia flahaultii, camphor and borneol for Artemisia. aragonensis, and artemisia ketone and caryophyllene for Artemisia annua. A. flahaultii oil showed the highest efficacy against C. pipiens larvae, followed by A. annua oil with average larvicidal activity. In contrast, A. aragonensis EO, composed of a high percentage of monoterpenes, was the least active. Docking simulation indicated that several studied ligands had promising binding scores within the receptor’s binding site compared to the reference insecticide temephos. The obtained results allow us to conclude that A. flahaultii, a species endemic to Morocco, is an excellent means of controlling C. pipiens.

Background: Aldosterone synthase (CYP11B2) is crucial for aldosterone production, and variations in its gene may influence type 2 diabetes mellitus (T2DM) development. This study explores the link between two single nucleotide polymorphisms (SNPs) in the CYP11B2 gene - −344T/C and K173R and T2DM in the Moroccan population .

Incorporating effective reading strategies is vital to language learning, as reading is considered to be among the most fundamental skills in acquiring knowledge and achieving success. Research has shown that good readers are often high achievers, and with the support of technology and Self-Regulated Learning (SRL) strategies, students can further enhance their reading abilities to become more independent and successful learners. This study dives into the topic of SRL strategies use in reading comprehension for English majors, especially after the recent impact of the Corona pandemic. Through a comprehensive survey of 198 students from two Moroccan universities, this study uncovers significant perspectives on the correlation between SRL strategies and reading achievement. The results reveal that while Moroccan English majors reported a medium level of SRL in reading, female students outscored male students, whereas third year students outscored first and second year students. Meanwhile, a positive correlation was found between SRL strategies' use and reading achievement. These findings suggest that learners, and male learners in particular, would benefit from being encouraged to use SRL strategies in reading. Furthermore, this study highlights the need for greater attention to time management strategies and peer learning, rehearsal, self-talk about efficiency, and elaboration. This research represents a valuable contribution to the literature on SRL strategies use in the context of EFL learning offering new directions for future research and implications for professors and students alike.

Carbonating metallurgical slags plays a pivotal role in achieving efficient mineral CO2 sequestration and waste valorization. This research introduces a novel integrated approach that combines the carbonation of Ladle Furnace Slag (LFS) with the simultaneous degradation of Methyl Orange (MO) in synthetic water. The comprehensive characterization of LFS was conducted using X-ray Diffraction (XRD), X-ray Fluorescence (XRF), Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES), Brunauer-Emmett-Teller (BET) analysis, and Scanning Electron Microscopy (SEM). The adsorption experiments reveal the high LSF capacity for MO degradation (149.25 mg/g) following pseudo-second-order kinetics (R2 = 0.99) and Langmuir isotherm (R2 = 0.98). The adsorption process was primarily governed by chemical and electrostatic interactions. Analysis of LFS-loaded MO indicated a reduction in Ca(OH)2 phases, responsible for CO2 mineralization and the formation of calcite (CaCO3). Furthermore, the study explored the reusability of LFS-MO composites through chemical and thermal modifications. Pyrolysis of carbonated LFS with KOH impregnation exhibited potential for regenerating Ca(OH)2 phases, while thermal modification induced significant mineral and microstructural changes, creating new active sites at various temperatures. Additionally, the Fenton-like reaction followed by thermal modification resulted in a highly organized and microporous LFS structure with enhanced surface area and porosity. Moreover, modification with ZnSO4 followed by thermal activation promoted the formation of ZnO nanoxides on the LFS surface. This research proposes an innovative carbonating approach for metallurgical slags and wastewater treatment, extending their utility and enhancing industrial sustainability. Carbonated LFS-MO composites hold promise for applications in construction, CO2 capture, and wastewater treatment, thereby fostering sustainable industrial practices with ongoing research and development efforts.

This work intended to study differences in oil yield and co-extraction of antioxidant and antibacterial compounds of Nigella sativa L. seed oil as a function of two main extraction processes: mechanical pressing and solvent extraction, including hexane and chloroform. Next, we studied such oils’ chemical composition and antioxidant and antibacterial activities. Notably, the chemical cartelization was conducted by use of HPLC. The antioxidant activity of the oils was assessed using DPPH, TAC, and FRAP assays. Antimicrobial activity was investigated against bacteria and fungi with clinical importanceT. HPLC-DAD analysis identified some bioactive compounds in the oils, including thymoquinone, carvacrol, and gallic acid. Results showed that oils extracted by different methods exhibit varying levels of antioxidant activity, with a higher concentration of antioxidant compounds in chloroform-extracted oils. Antimicrobial tests revealed significant inhibitory effects of the studied oils on the growth of bacteria and fungi. In conclusion, this research has made it possible to characterize the oils extracted from Nigella sativa L. Seeds by determining their chemical composition and biological properties, notably their antioxidant, antibacterial, and antifungal activity. These results contribute to a better understanding of the potential benefits of these oils for human health and open up exciting prospects for their use in various fields, notably as food additives and therapeutic agents.

This research provides the first assessment of the leachate impact on water sources near the newly installed Landfill and Recovery Center (LRC) in Tangier, Morocco, which has been operational since the beginning of 2021. The investigation involved the analysis of microbiological and chemical parameters in water samples from four community wells and five surface water sources in the M'harar and Tahaddart Wadis during the dry season. Chemical analysis focused on detecting heavy metals, which were quantified using Atomic Absorption Spectrometry. Microbiological analysis involved assessing the presence of Fecal Indicator Bacteria utilizing the membrane filtration method. The findings reveal alarmingly high levels of fecal bacteria and distinct spatial water quality patterns, with a notable gradient of bacteriological contamination in groundwater sources surrounding the LRC. The highest concentrations were noted at well P.1, located about 3.6 meters from the LRC, while at well P.4, located 1 km away, there is a regression in bacterial and metal concentration, suggesting leachate percolation, likely due to construction faults and inadequate waste management. The heavy metal concentrations remained below the World Health Organization's maximum acceptable values. Nevertheless, the overall results of the M'harar and Tahaddart Wadis waters show no leachate runoff. The study highlights the urgent need to improve the installation of proper leachate collection tanks and treatment systems as well as robust environmental monitoring, to protect the ecological integrity of the Biological and Ecological Interest Site (SIBE) of the Tahaddart region and safeguard public health. This study is limited by its focus on a specific geographic area and the timing of sampling, which restricted the groundwater analysis to only four wells. Future research should include sampling across different seasons and a broader range of wells to provide a more comprehensive understanding of water quality dynamics.

Abstract : This study aims to highlight the significance of rural women's participation in the workforce in Algeria. It examines the legal framework governing their work relationships and responsibilities within the workplace, considering their roles as45 specific work groups. The study focuses on the specific context of Algeria, where the status of women working outside the home is regulated by a series of laws and legal texts enshrined in Algerian charters and constitutions. That have played a significant role in defining the professional roles of women in the country. These legal texts have outlined specific responsibilities for women in the workplace, leading to an increase and intensification of their overall workload. Keywords: Role; Woman; Home; work; Countryside; Algeria.

The present investigation was performed to evaluate the effects of various synthetic antioxidants (vitamin A, vitamin E, β-carotene, and BHT) on the oxidation of sunflower oil subjected to accelerated thermal storage at 60 °C for three months (12 weeks). The performance of the antioxidants studied was evaluated using several quality parameters: the free fatty acid value (FFA), primary oxidation (via the peroxide value (PV) and K232 value), secondary oxidation products (via the anisidine value (p-AV) and K270 value), and the total oxidation value (TOTOX). The fatty acid composition (FAC), oxidizability value (COX), iodine value (IV), and pigment content (chlorophyll and carotenoid) were also evaluated. The results revealed that the control sample of sunflower oil exhibited higher susceptibility to oxidative deterioration. Antioxidants at 200 ppm were more effective in preserving the oxidative stability of sunflower oil subjected to accelerated storage compared to the control oil. The smallest increases in all stability parameter indexes were recorded for antioxidant-supplemented sunflower oil. However, the IV and chlorophyll and carotenoid contents were reduced. At 200 ppm, vitamin E and β-carotene showed the greatest stability in sunflower oil, while their combination with vitamin A at 100 ppm of each showed the lowest stability. In addition, synthetic antioxidants provided greater protection against the degradation of polyunsaturated fatty acids (PUFAs). The highest level of PUFA degradation was recorded in the control oil, followed by the oil containing vitamin A. In conclusion, adding synthetic antioxidants to sunflower oil improves its stability during storage. However, some authors associated these molecules with a health risk due to carcinogenic effects as these molecules have been listed as “Generally Recognized As Safe” (GRAS).

The development of efficient classifiers for land cover remains challenging due to the presence of hyperparameters in the model. Conventional approaches rely on manual tuning, which is both time-consuming and impractical, often leading to suboptimal results. This study aimed to optimize the hyperparameters of the Support Vector Machine (SVM) algorithm using the grid search method to map the distribution of the Argan forest in the Souss-Massa region of Morocco from Sentinel-2 satellite image. To achieve this, we examined the C parameter for the linear function, as well as the C and gamma parameters for the radial RBF and sigmoid functions. Similarly, we explored the C, gamma, and degree parameters for the polynomial function chosen using the grid search method. These parameters are compared with the default hyperparameters of each SVM function. The results are validated using the cross-validation method and by the following scores: accuracy, precision, recall, F1 score, and Cohen’s Kappa. The experiments were conducted using the Earth Engine Python API in Google Colab (Google Collaboratory). In addition, experimental results indicate that the hyperparameters selected by grid search yield higher scores than the default hyperparameters. The best results were achieved using the hyperparameters of the polynomial base kernel, specifically with C = 10, degree = 2, and gamma = 10. Accuracy = 96.61%.

IntroductionA defining aspect of the Intergovernmental Panel on Climate Change (IPCC) assessment reports (AR) is a formal uncertainty language framework that emphasizes higher certainty issues across the reports, especially in the executive summaries and short summaries for policymakers. As a result, potentially significant risks involving understudied components of the climate system are shielded from view.MethodsHere we seek to address this in the latest, sixth assessment report (AR6) for one such component—the deep ocean—by summarizing major uncertainties (based on discussions of low confidence issues or gaps) regarding its role in our changing climate system. The goal is to identify key research priorities to improve IPCC confidence levels in deep ocean systems and facilitate the dissemination of IPCC results regarding potentially high impact deep ocean processes to decision-makers. This will accelerate improvement of global climate projections and aid in informing efforts to mitigate climate change impacts. An analysis of 3,000 pages across the six selected AR6 reports revealed 219 major science gaps related to the deep ocean. These were categorized by climate stressor and nature of impacts.ResultsHalf of these are biological science gaps, primarily surrounding our understanding of changes in ocean ecosystems, fisheries, and primary productivity. The remaining science gaps are related to uncertainties in the physical (32%) and biogeochemical (15%) ocean states and processes. Model deficiencies are the leading cited cause of low certainty in the physical ocean and ice states, whereas causes of biological uncertainties are most often attributed to limited studies and observations or conflicting results.DiscussionKey areas for coordinated effort within the deep ocean observing and modeling community have emerged, which will improve confidence in the deep ocean state and its ongoing changes for the next assessment report. This list of key “known unknowns” includes meridional overturning circulation, ocean deoxygenation and acidification, primary production, food supply and the ocean carbon cycle, climate change impacts on ocean ecosystems and fisheries, and ocean-based climate interventions. From these findings, we offer recommendations for AR7 to avoid omitting low confidence-high risk changes in the climate system.

ABSTRACT Dictyostelium discoideum is a phagocytic amoeba continuously eating, killing, and digesting bacteria. Previous studies have detected in D. discoideum cell extracts a bacteriolytic activity effective against Klebsiella pneumoniae bacteria. In this study, we characterized bacteriolytic activities found in D. discoideum cell extracts against five different bacteria (K. pneumoniae, Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, and Bacillus subtilis). We first analyzed the bacteriolytic activity against these five bacteria in parallel over a range of pH values. We then measured the remaining bacteriolytic activity in D. discoideum kil1 and modA knockout mutants. We also performed partial fractionation of D. discoideum extracts and assessed activity against different bacteria. Together our results indicate that optimal bacteriolytic activity against different bacteria results from the action of different effectors. Proteomic analysis allowed us to propose a list of potential bacteriolytic effectors.IMPORTANCEMany antibacterial effectors have been characterized over the past decades, and their biological importance, mode of action, and specificity are often still under study. Here we characterized in vitro bacteriolytic activity in D. discoideum extracts against five species of Gram-negative and Gram-positive bacteria. Our results reveal that optimal lysis of different bacteria mobilizes different effectors. Proteomic analysis generated a list of potential bacteriolytic effectors. This work opens the way for future analysis of the role of individual effectors in living D. discoideum cells.

In the context of open science, universities, research-performing and funding organizations and authorities worldwide are moving towards more responsible research assessment (RRA). In 2022, the European Coalition for Advancing Research Assessment (CoARA) published an agreement with ten commitments, including the recognition of the “diversity of contributions to, and careers in, research”, the “focus on qualitative evaluation for which peer review is central, supported by responsible use of quantitative indicators”, and the “abandon (of) inappropriate uses in research assessment of journal- and publication-based metrics”. Research assessment (RA) is essential for research of the highest quality. The transformation of assessment indicators and procedures directly affects the underlying research information management infrastructures (also called current research information systems) which collect and store metadata on research activities and outputs. This entry investigates the impact of RRA on these systems, on their development and implementation, their data model and governance, including digital ethics.

The aim of this experimental work is to analyze the effect of mineral additions fineness on the hydration of self-compacting mortars, as well as their behavior in the fresh and hardened states. To do this, cement was partially replaced with a fixed rate of 20% for natural pozzolan and 30% for slag. The additions were ground to three different fineness. The results showed that the use of slag is favourable to the formulation of self-compacting mortars, the workability has been considerably improved, the increase in its fineness, meanwhile, reduces the dosage of superplasticizer up to 46%. For the pozzolan, on the other hand, not only was the workability reduced, but the increase in fineness implies an additional demand for superplasticizer up to 16%. Mortars based on additions release less heat, nevertheless, this reduction is accompanied by a drop in compressive strength at a young age. However, the increase in fineness lets to accelerate the initial hydration, inducing additional strength, and to generate heat comparable to that of the reference mortar. Nonetheless, in the case of excessive grinding, the heat release must be taken into account in order to avoid the thermal cracking.

This study focuses on evaluating the characteristics of olive oil produced in the Taroudant province (southern Morocco), making this the first comprehensive study focusing on olive oil from the ‘Moroccan Picholine’ cultivar. Our objective was to elucidate the distinctive qualities of olive oil from this region, providing valuable insights into its potential contributions to the country’s olive oil sector. For this purpose, several quality criteria (free fatty acids, moisture content, saponification value, and iodine value), oxidation indices (peroxide value, specific UV extinction coefficients, and oxidizability value), and purity indices (fatty acids and sterol composition) were evaluated. Our results reveal minor-to-significant variations (p < 0.05) in the quality and oxidation parameters. Specifically, our results indicate diverse ranges for free fatty acids (0.33–3.62 g/100 g), peroxide values (0.85–4.01 mEq O2/kg oil), K232 (1.68 to 2.73), and K270 (0.09–0.34). Furthermore, consistently high levels of oleic acid (55.8 to 73.1%) and β-sitosterol (94.2 to 97%) were observed in the studied samples. These outcomes were confirmed through the use principal component analysis and hierarchical cluster analysis. Likewise, important correlations were outlined among the studied parameters. Multidimensional analyses not only highlight inherent variations, but also facilitate the classification of the analyzed olive oils into distinct categories. The results suggest that the Taroudant province exhibits favorable conditions for producing high-quality olive oil.