Ain Témouchent University

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Ain Témouchent University
Short name
ATU
Country, city
Algeria, Aïn Temouchent
Publications
270
Citations
2 857
h-index
29
Top-3 foreign organizations
Qassim University
Qassim University (7 publications)
University of Lorraine
University of Lorraine (6 publications)

Most cited in 5 years

Benhadria N., Hachemaoui M., Zaoui F., Mokhtar A., Boukreris S., Attar T., Belarbi L., Boukoussa B.
Journal of Cluster Science scimago Q2 wos Q2
2021-01-02 citations by CoLab: 87 Abstract  
In this paper, the precipitation method was used to synthesize CuO nanoparticles (NPs). Sodium dodecyl sulfate (SDS) and Cetyltrimethylammonium Bromide (CTAB) were used as a surfactant to modify the surface morphology of the CuO NPs. To investigate the characteristics of the CuO NPs, X-ray diffraction technique (XRD), X-Ray photoelectron spectrometry (XPS), Scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR) and Energy dispersive X-ray analysis (EDAX) were used. The catalytic activities of as prepared CuO NPs were evaluated by monitoring reduction of MB dye in the presence of NaBH4 as reducing agent. Effect of catalyst mass, concentration of NaBH4 and concentration of MB dye were investigated. The best results for the reduction of MB dye were obtained by the CuO–SDS catalyst. The results showed that 10 min of reaction time was sufficient to have the total degradation of MB dye. The reuse of the CuO–SDS catalyst for five cycles has shown interesting results via the reduction of MB dye without losing its effectiveness.
Bentout S., Tridane A., Djilali S., Touaoula T.M.
2021-02-01 citations by CoLab: 86 Abstract  
As the COVID-19 is still spreading in more than 180 countries, according to WHO. There is a need to understand the dynamics of this infection and predict its the impact on the public health capacity. This work aims to forecast the progress of the disease in three countries from different continents: The United States of America, the United Arab Emirates and Algeria. The existing data shows that the fatality of the disease is high in elderly people and people with comorbidity. Therefore, we consider an age-structured model. Our model also takes into consider two main components of the COVID-19 (a) the number of Infected hospitalized people, therefore, we estimate the number of beds (acute and critical) needed (2) the possible infection of the healthcare personals (HCP). Hence, the model predict the peak time and the number of infectious cases at the peak before and after the implementation of non-pharmaceutical interventions (NPI), and we also compare this finding with case of full lockdown. Finally, we investigate the impact of the shortage of proper personal protective equipment (PPE) on the spread of the disease.
Rachid H.B., Noureddine D., Benali B., Adin M.Ş.
2023-08-03 citations by CoLab: 76
Mekki A., Mokhtar A., Hachemaoui M., Beldjilali M., Meliani M.F., Zahmani H.H., Hacini S., Boukoussa B.
2021-01-01 citations by CoLab: 73 Abstract  
Three zeolites with different structures (mazzit, faujasite and MFI) were prepared by hydrothermal way, and then were used to stabilize the Fe and Ni nanoparticles using ion exchange followed by treatment with a solution of NaBH 4 as reducing agent. The designed nanocatalysts were used in the catalytic reduction of methylene blue dye (MB) and 4-nitrophenol (4-NP) in a simple and binary system under NaBH 4 solution to determine their effectiveness in wastewater treatment. The obtained samples were characterized by XRD, XPS, nitrogen sorption at 77 K, XRF, FTIR, UV–vis, SEM and TEM. The obtained results revealed that the structure of the zeolites was well retained after immobilization of metal nanoparticles (NPs), but their textural properties were slightly reduced. The XPS results clearly show that the zero charge nanoparticles were well obtained using NaBH 4 solution. As confirmed by TEM the nanoparticles were well dispersed in the surface of the zeolites their sizes were around 3–13 nm for the zeolites modified by Fe NPs and 2–6 nm for those modified by Ni NPs. The catalyst Ni–Y exhibited excellent catalytic activity towards the reduction of MB dye and 4-NP in binary and simple system due to its large surface area containing well dispersed Ni nanoparticles. The rate constant in a simple system was 0.02 s −1 and 0.005 s −1 for 4-NP and MB dye respectively, while in the binary system was 0.002 s −1 and 0.014 s −1 . The catalyst Ni–Y was used in five consecutive experiments without important loss of activity, confirming its stability. • Stabilization of Ni and Fe NPs on MFI, Faujasite and mazzit zeolites. • Comparative study towards the catalytic reduction of 4-NP and MB in a simple and binary system. • Excellent performance catalytic hydrogenation towards both pollutants obtained by the modified zeolite Y. • The catalyst Ni–Y can be re-used for five cycles without loss of its efficiency.
Tiwari S., Si Mohammed K., Mentel G., Majewski S., Shahzadi I.
Geoscience Frontiers scimago Q1 wos Q1 Open Access
2024-05-01 citations by CoLab: 68 Abstract  
This paper investigates the effect of the circular economy on CO2 emissions growth by considering the role of energy transition, climate policy stringency, industrialization, and supply chain pressure from 1997 to 2020 using panel quantile Autoregressive Distributed Lags (QARDL) and the panel PMG. We employ cointegration association in the long run among the variables, and the results of the two models confirm this. Findings reveal that circular economy and climate policy stringency significantly negatively impact carbon emissions. On the other hand, the energy transition, industrialization, and supply chain pressures are crucial to determining CO2 emissions in the short and long run. The finding further explores that municipal waste generation recycling is considerable at the mean and upper 90th quantiles than the lower quantile. Therefore, the empirical results of the current study provide acumens for policymakers of advanced economies and emerging markets to maintain the balance among circular economy, energy transition, environmental policy stringency, and supply chain pressure for reducing CO2 emissions without halting economic growth and sustainable development. Furthermore, practical implications are reported through the lens of carbon neutrality and structural changes.
Abbas S., Saqib N., Mohammed K.S., Sahore N., Shahzad U.
2024-03-01 citations by CoLab: 63 Abstract  
China is adopting innovative strategies to mitigate the carbon emissions and to enhance environmental sustainability. China's pilot low-carbon city program is a comprehensive program to attain carbon neutrality and green transformation. The current research is an attempt to explore the dynamic relationship between green patents, energy use, research and development (R&D) expenditure, and carbon dioxide emissions of Chinese cities considered for the China Pilot Low Carbon City Program (CPLCCP). The prime objective of current research is to examine the validity of the Environmental Kuznets Curve (EKC) theory in the context of energy use, R&D and green patents. This objective is realized by employing CS-ARDL, Q-ARDL, and Granger's non-causality approach on panel data of 118 Chinese cities for the period of 2003 to 2020. The estimated result reveals that allocating resources towards R&D and green technological innovation can substantially increase environmental sustainability across various quantiles. Furthermore, the empirical findings validate the existence of Environmental Kuznets Curve (EKC) theory. The study suggests fruitful insights for policymakers and stakeholders committed apropos sustainable development and carbon neutrality of China.
Hachemaoui M., Boukoussa B., Mokhtar A., Mekki A., Beldjilali M., Benaissa M., Zaoui F., Hakiki A., Chaibi W., Sassi M., Hamacha R.
Materials Chemistry and Physics scimago Q1 wos Q2
2020-12-01 citations by CoLab: 63 Abstract  
Mesoporous silica MCM-41 was synthesized hydrothermally and then impregnated by different transition metals (such as Cr, Cu, Fe and Zn). The modified materials in calcined and non-calcined forms were tested in the adsorption of OG and MB dyes in single and binary system. Effect of calcination, contact time, initial dye concentration and adsorbent mass were studied. Two kinetics models were applied the first and the second order kinetics as well as the Freundlich and Langmuir isotherms were tested. The obtained samples were also used as anti-bacterial and anti-fungal agents using gram negative (P.aeruginos and E coli), gram positive (B. cereus, and S. aureus) pathogenic clinical bacteria and pathogenic fungi (Candida albicans). The result confirms that the adsorption process of both dyes follows second-order kinetics and their equilibrium data were fitted well to the linear Langmuir model. The maximum adsorption capacity of OG and MB dyes was 200 mg/g and 166 mg/g for non-calcined and calcined Zn/MCM-41, respectively. The adsorption of a binary mixture showed that the both materials are selective. The best selectivity was obtained by non-calcined Zn/MCM-41 wherein the OG dye was predominantly adsorbed. The application of all samples as anti-bacterial and anti-fungal agents showed encouraging results, but the best results were obtained by non-calcined materials, particularly with Cu/MCM-41 and Zn/MCM-41.
Marni Sandid A., Bassyouni M., Nehari D., Elhenawy Y.
2021-09-01 citations by CoLab: 60 Abstract  
• Desalination plant was powered by solar energy. • Solar powered membrane-based shows remarkable reducing in carbon dioxide emissions. • The solar desalination systems were numerically simulated. • Significant reduction in fresh water cost using solar membrane distillation. Solar thermal energy for membrane distillation desalination is a green and safe way for areas where water scarcity and solar irradiance are strongly correlated. In this paper, a commercial-scale of desalination plant was installed and tested to study the performance of a multichannel spiral-wound air gap membrane distillation module with an area of 14.4 m 2 . Air gap membrane distillation desalination plant at Port Said university was powered by solar energy using flat plate and evacuated tube collectors. The model validation was carried out. The solar desalination systems were numerically simulated using the program TRNSYS under different weather conditions throughout the year. The influence of the main operating parameters (feed flow rate and inlet temperatures of evaporator and condenser) was investigated. Regression analysis agreed with experimental data fitting using a quadratic polynomial model with coefficients of determination (R 2 ) values of 0.997, 0.972, and 0.999 for permeate flux, outlet feed temperature, and outlet coolant temperature, respectively. The results showed that the permeate flux of the air gap membrane distillation with the evacuated tube collectors was 18.81%–30.44% higher than flat plate collector, and its cost was 22.48% lower. The specific thermal energy consumption of the air gap membrane distillation system ranged from 158.83 kWh/m 3 to 346.55 kWh/m 3 . The maximum gain output ratio reaches 4.4 at 52 °C, depending on the feed inlet temperature. The thermal efficiency of the air gap membrane distillation system is 72%. The proposed air gap membrane distillation system produced 28.78 m 3 /year of fresh drinking water at a cost of USD 14.73/m 3 with remarkable reducing in carbon dioxide emission s by 7,274.45 kg/year.
Hachemaoui M., Mokhtar A., Ismail I., Mohamedi M.W., Iqbal J., Taha I., Bennabi F., Zaoui F., Bengueddach A., Hamacha R., Boukoussa B.
2021-08-01 citations by CoLab: 55 Abstract  
The current study deals with the preparation and development of nanomaterials based on iron, copper, chromium or cobalt to study their antibacterial and catalytic properties. To achieve this, the different metals were dispersed in the material MIL-101(Cr) by an ultrasonic-assisted method and then treated by chemical reduction in order to produce corresponding metal nanoparticles (MNPs). The obtained nanocatalysts MIL-101(Cr)/MNPs were characterized by various techniques such as XRD, XPS, SEM, TEM, FTIR; TGA, XRF, Adsorption-desoprtion of nitrogen at 77 K and UV–vis DR. The results showed that the nanocatalysts consist of a mixture of metal phases and oxides. All the prepared nanocatalysts were evaluated based on their performance in reducing the methylene blue (MB) dye in the presence of NaBH 4 as reducing agent, for selection of the optimal catalyst. The best catalytic activity was obtained by the MIL-101 (Cr)/CuNPs nanocatalyst in which 6 min was sufficient to reduce the MB dye and the recorded rate constant k app was 0.503 min −1 . The performance of this catalyst was evaluated by varying the effects of three important parameters such as catalyst loading and the concentration of NaBH 4 and MB dye. The study of the effects of these three parameters on the reduction process reveals that more than 99% of MB dye was reduced using 0.6 mM of MB dye, 6.8 mM of NaBH 4 and 3 mg of nanocatalyst. The kinetic study shows that the reduction of MB dye by the MOF-101(Cr)/CuNPs nanocatalyst follows pseudo-first order kinetics. In addition, the MIL-101(Cr)/CoNPs and MIL-101(Cr)/CuNPs samples demonstrated efficacy at inhibiting bacterial and fungal growth. Hence, it is concluded through this work that the nature, size and concentration of nanoparticles present in the MOF matrix are the key parameters that can influence the catalytic and antibacterial properties of these MNP-loaded MIL-101(Cr) systems. • Metallic nanoparticles were dispersed on MIL-101(Cr) surface using sonication process. • The obtained nanocatalysts were used for MB dye reduction and pathogenic bacteria elimination. • The MIL-101 (Cr)/CuNPs nanocatalyst showed a high catalytic activity via MB dye. • The highest antibacterial activities of MIL-101(Cr)/CoNPs and MIL-101(Cr)/CuNPs materials was revealed.
Bentout S., Chen Y., Djilali S.
Acta Applicandae Mathematicae scimago Q2 wos Q2
2020-12-15 citations by CoLab: 42 Abstract  
In this paper, we study an SEIR model with both infection and latency ages and also a very general class of nonlinear incidence. We first present some preliminary results on the existence of solutions and on bounds of solutions. Then we study the global dynamics in detail. After proving the existence of a global attractor $\mathcal{A}$ , we characterize it in two cases distinguished by the basic reproduction number $R_{0}$ . When $R_{0}<1$ , we apply the Fluctuation Lemma to show that the disease-free equilibrium $E_{0}$ is globally asymptotically stable, which means $\mathcal{A}=\{E_{0}\}$ . When $R_{0}>1$ , we show the uniform persistence and get $\mathcal{A}=\{E_{0}\}\cup C \cup \mathcal{A}_{1}$ , where $C$ consists of points with connecting orbits from $E_{0}$ to $\mathcal{A}_{1}$ and $\mathcal{A}_{1}$ attracts all points with initial infection force. Under an additional condition, we employ the approach of Lyapunov functional to find that $\mathcal{A}_{1}$ just consists of an endemic equilibrium.
MOHAMMED AGGAD F.Z., ILIAS F., ELGHALI F., MRABET R., el haci I.A., AIFA S., MNIF S.
Chemistry and Biodiversity scimago Q2 wos Q3
2025-01-13 citations by CoLab: 0 Abstract  
ABSTRACTBiofilm formation and virulence factor production by Pseudomonas aeruginosa are identified as the main mechanisms of its antibiotic resistance and pathogenicity. In this context, the study of the chemical composition of three Algerian essential oils (EOs) and the screening of their antibacterial, antibiofilm, and virulence factor inhibitory activities enabled us to select the thyme EO as the best oil to control the P. aeruginosa strain isolated from hospital environments. This EO, composed essentially of thymol (55.82%) associated with carvacrol, had an anti‐adhesive activity of 69.8% at a concentration of 5 µL/mL and a biofilm eradication activity of 74.86% at a concentration of 2.5 µL/mL. In addition, this EO was able to inhibit P. aeruginosa twitching motility by 100% at a concentration of 2.5 µL/mL. Pyocyanin was inhibited by 99.33% at a thyme EO concentration of 1.25 µL/mL. Rhamnolipids were significantly inhibited by 63.33% in the presence of thyme EO at a concentration of 1.25 µL/mL after 24 h of incubation. Molecular docking showed that carvacrol and thymol can bind to the three quorum sensing receptors in P. aeruginosa, RhlR, LasR, and PqsR, with good affinities, which can inhibit or modulate biofilm formation and the production of certain virulence factors.
Lafri I., Chikhi I., Kerzabi R., Semaoui M., Dib M.E., Muselli A.
2024-11-08 citations by CoLab: 0 Abstract  
Background: This study explores the antimicrobial, antifungal, and insecticidal properties of Scolymus grandiflorus essential oil, examining its potential uses in the fields of pharmacology and agriculture. Materials and Methods: The essential oil obtained by hydrodistillation was studied by GC and GC/MS. The antibacterial capacity of the essential oil was determined against two Gram-positive and three Gram-negative bacterial species. The antifungal activity of the essential oil was investigated against two fungi responsible for many fruit and vegetable diseases. The insecticidal activity of essential oil was evaluated against larvae, pupae, and adult flies of Ceratitis capitata. Results: The GC and GC-MS analysis of the essential oil of the roots of S. grandiflorus revealed the predominant presence of davanoids, representing more than 80% of its chemical composition. The results of the disc diffusion test showed significant antimicrobial activity. The essential oil inhibited the growth of Salmonella typhi (25 mm), Staphylocoque aureus (18 mm), and Escherichia coli (17 mm), with inhibition diameters comparable to those of gentamicin. The essential oil significantly inhibited mycelial growth, with up to 98% inhibition for Fusarium solani and 73% for Alternaria alternata at 8 μL/mL. Insecticidal activity was most pronounced on adult flies, followed by pupae and finally larvae. Conclusion: Tests on the essential oils of S. grandiflorus revealed promising characteristics as insecticidal, antifungal, and antimicrobial agents. These results could be used in the development of new solutions to control pathogens responsible for plant diseases and mycotoxin-producing organisms.
Benzenine D., Daoud I., Aissaoui N., Kibou Z., Seijas J.A., Vázquez-Tato M.P., Ziani-Cherif C., Belarbi L., Choukchou-Braham N.
Molecules scimago Q1 wos Q2 Open Access
2024-10-26 citations by CoLab: 2 PDF Abstract  
A convenient and effective synthesis of imidazo[1,2-a]pyrimidine derivatives has been developed under microwave irradiations using Al2O3 as a catalyst in solvent-free conditions. The functionalized imidazo[1,2-a]pyrimidine derivatives are useful in biochemistry and medical science. In our investigation, the antimicrobial activity of the synthesized compounds was evaluated against 13 microorganisms, including 6 Gram-positive bacteria, 4 Gram-negative bacteria, and 3 pathogenic fungi. Bioactivity tests revealed that the majority of the compounds exhibited good antimicrobial activity. Finally, molecular docking simulations and ADME-T predictions were performed, showing that the most active compounds have good binding modes with microbial targets and promising pharmacokinetic safety profiles.
Nihel D., Redouane B., Amina B., Ginesa B., Sumeya B., Juan C.J.
2024-10-01 citations by CoLab: 1 Abstract  
Lignocellulosic biomass upgrading is a pivotal axis in the transition from an economy based on fossil resources to one reliant on renewable biomass resources. Within this context, low-cost Zr-doped MgAl-LDH@Aunano-catalysts are reported in this study as efficient catalysts to synthesize bio-based succinic acid. A series of Zr-doped MgAl-LDH and Au/Zr-doped MgAl-LDH catalysts have been successfully prepared. All catalysts have a lamellar double hydroxide structure LDH even after enrichment with Zr and addition of Au.Au NPs have small average sizes ranging from 1.2 to 8.5 nm. The materials under study showed exalted catalytic performances in the direct synthesis of succinic acid from bio based furfural via an aqueous phase oxidation reaction with H2O2. 84% of furfural conversion and 99% selectivity towards succinic acid were achieved.A positive synergy between Zr and Au NPs is highlighted and related to this catalytic performances improvement.
Mezaouri S., Kameche Z.E., Mamoune S.M., Siad H., Houmadi Y., Lachemi M.
2024-10-01 citations by CoLab: 0 Abstract  
The majority of existing findings regarding expansion (EXP) risks in concretes containing waste glass stem from experimental studies. There is a need for rapid assessment methods to ensure safer recycling of glass waste in cementitious composites. In this study, an artificial neural network (ANN) model was developed to accurately predict alkali–silica reaction EXP/mitigation resulting from the integration of glass waste in mortars. The analysis considered glass incorporation either separately as waste glass powder (WGP) and waste glass aggregates (WGAs), or in combination, at contents of up to 100% for WGA and 30% for WGP. A set of 175 mixtures was analysed, considering five distinct variables, which encompassed different mix proportions, involving varying components of cement, natural aggregates, WGP and WGA, in addition to the duration of environmental exposure. The results show that the EXP of WGA mortars decreased with the increased incorporation of WGP. The EXP values obtained from validation and experience confirm the high accuracy of the developed ANN model, with validation coefficients reaching up to 98.061% and a small value of the mean square error.
Alshammari S., Andriosopoulos K., Kaabia O., Mohamed K.S., Urom C.
2024-10-01 citations by CoLab: 7 Abstract  
This study examines the dynamic interconnectedness and dependence between the USA's corporate bond market (CMD) and economic and equity market uncertainties, as well as geopolitical risk. Using quantile Vector Autoregressive (QVAR) and Wavelet Local Multiple Correlation (WLMC) techniques, we place particular emphasis on the periods corresponding to the Russian-Ukrainian war and the COVID-19 pandemic. We find significantly higher interconnectedness, particularly at the upper quantile and large scale, during these two events, lending support to the use of asymmetric models. Additionally, our findings reveal that the impact is more robust when uncertainty increases compared to periods of decreased uncertainty. These results carry vital implications for policymakers and macro-prudential authorities, emphasizing the necessity to consider a changing macroeconomic environment and to reduce dependence on Russian energy sources to navigate a complex and evolving financial landscape.
Eddine Attar A., Chaker H., Djennas M., Ondarts M., Fourmentin S.
2024-10-01 citations by CoLab: 1 Abstract  
The synthesis of robust intrinsically conducting polymers (ICPs) based on nanoparticles is becoming increasingly attractive to the research community due to the unique properties of these nanocomposites. Indeed, as organic semiconductors, ICPs combine both polymer and metal properties in a single structure. This study presents an innovative approach in which the Doehlert Matrix (DM) is applied to a novel ICP nanocomposite based on polyaniline (Pani) coupled with selenium (Se) loaded mesoporous titania (TiO2) for wastewater treatment by photocatalysis. It includes both the elaboration routes of ICP nanocomposites, characterization of materials by X-ray diffraction (XRD), BET analysis, thermogravimetric analysis (TGA), RAMAN spectroscopy and Fourier transform infrared spectroscopy (FTIR) and photodegradation of methylene blue (MB) as a representative of dye pollutant. In addition, the photocatalytic process has been optimized by a novel DM conception. The effect of the pH of the solution, the catalyst dosage and the initial pollutant concentration was investigated. The optimum conditions were found to be: initial MB concentration of 15 mg/L, the catalyst dosage of 69 mg and pH of 9.6 with an operating time of 75 min, with a coefficient of determination R2 equal to 0.9985. The removal efficiency of BM was close to 97 %. The study shows that the new ICP nanocomposites improve the photocatalytic efficiency compared to pure titania and/or pure Pani. In addition, as the ternary Pani-Se-TiO2 nanocomposite could be obtained from a low-cost synthesis, it is a very promising material for use in wastewater treatment.
Madouri R., Ziane M., Benaceur F., Cufaoglu G.
2024-09-13 citations by CoLab: 1 Abstract  
Many cooked foods are prepared with spices and dried herbs; these can be contaminated by several types of microorganisms, including aerobic spore-forming bacteria. The Bacillus cereus group is very widespread in nature and is known among the common food contaminants. They are involved in food poisoning, causing two types of syndromes, diarrheal and emetic. The aims of the present work were to determine the prevalence of toxigenic Bacillus cereus spores in spices and herbs marketed in the Laghouat area and to identify their toxigenic genes via PCR. Among the 191 samples, 14.13% were determined to be B. cereus, with concentrations ranging from 2.52 to 5.82 log cfu/g, where the highest level of contamination was observed in allspice and ginger. Moreover, entFM (100%), nhe (88.23%) and cytK (70.58%) were the most frequently identified toxin genes, whereas hbl (23.52%) was less common, and no emetic toxin-encoding gene (cesB) was found in any of the samples. Considering the results of the present study, the B. cereus microbial load and toxin gene profiles of spices show that spices have potential for public health in Algeria. In this context, it is crucial to guarantee the microbiological safety of spices by respecting good hygiene practices, eliminating bacterial spores and toxin production via sterilization and using appropriate packaging for these products.
Alofaysan H., Radulescu M., Balsalobre-Lorente D., Si Mohammed K.
Heliyon scimago Q1 wos Q1 Open Access
2024-09-01 citations by CoLab: 5 Abstract  
Successfully integrating renewable energy sources depends on eco-friendliness, financial technology, and economic growth (GDP). This paper examines the dynamic effect of innovative financial and green technology on renewable energy for 38 emerging economies from 2006 to 2021. Using the dynamic First-difference Generalized Method of Moments (FD-GMM) model, the analysis identifies a critical GDP threshold of 1831.772 US dollars, significant at the 1 % confidence level. Below this threshold, GDP negatively affects green energy adoption, while above it, GDP positively influences the shift to greener energy, supporting the predicted U-shaped relationship in the data. The results conclude that eco-friendly and financial technology positively and significantly influence renewable energy adoption, where the dynamics and barriers to adopting eco-friendly and financial technologies in emerging countries may differ from those in developed nations. Based on the findings, relevant energy policies have been recommended for energy stakeholders, Tech firms and decision-makers.
Harrou F., Dairi A., Dorbane A., Sun Y.
Results in Engineering scimago Q1 wos Q1 Open Access
2024-09-01 citations by CoLab: 12 Abstract  
Accurate wind power prediction is critical for efficient grid management and the integration of renewable energy sources into the power grid. This study presents an effective deep-learning approach that improves short-term wind power forecasting accuracy. The method incorporates a Variational Autoencoder (VAE) with a self-attention mechanism applied in both the encoder and decoder. This empowers the model to leverage VAE's strengths in time-series modeling and nonlinear approximation while focusing on the most relevant features within the wind power data. The effectiveness of this approach is evaluated through a comprehensive comparison with eight established deep learning methods, including Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, Bidirectional LSTMs (BiLSTMs), Convolutional LSTMs (ConvLSTMs), Gated Recurrent Units (GRUs), Stacked Autoencoders (SAEs), Restricted Boltzmann Machines (RBMs), and vanilla VAEs. Real-world data from five wind turbines in France and Turkey is used for the evaluation. Five statistical metrics are employed to quantitatively assess the prediction performance of each method. The results indicate that the SA-VAE model consistently outperformed other models, achieving the highest average R2 value of 0.992, demonstrating its superior predictive capability compared to existing techniques.
Bensafi B., Chouat N., Maziz A., Djafri F.
Silicon scimago Q2 wos Q3
2024-07-24 citations by CoLab: 1 Abstract  
Zeolite Faujasite Y was synthesized, ion-exchanged with NH4+, and calcined to provide the protonated H-Y form. Subsequent post-synthesis alterations included dealumination with oxalic acid for varied durations (1 and 2 h), resulting in samples labeled as H-Y/1h and H-Y/2h. Characterization techniques demonstrated the persistence of the zeolite Y structure despite minor crystallinity loss, particularly in H-Y/2h. Textural improvements were seen following protonation and dealumination. NH3-TPD analysis revealed that acid treatment resulted in considerable aluminum removal from the zeolite structure, increasing the concentration of strong acid sites in the treated samples. Methanol adsorption kinetics at 25 °C exhibited pseudo-second-order behavior due to its small kinetic diameter and low polarity, which facilitated diffusivity in micro- and hierarchical pores. At 35 °C, Na-Y, H-Y, and H-Y/1h samples exhibited second-order kinetics, indicating favorable methanol adsorption dynamics within zeolite pores. DTG study of methanol adsorption showed that hierarchical porosity creation efficiently suppressed coke formation, hence conserving catalytic activity, as seen in H-Y/2h at high temperatures. These findings highlight the crucial significance of post-synthesis treatments in increasing methanol adsorption and imparting coke resistance to zeolite-Y catalysts.
Chouat N., Maziz A., Bensafi B., Djafri F.
2024-06-20 citations by CoLab: 2 Abstract  
Zeolite H-ZSM-5 has been successfully synthesized and has been post-synthesis treated with MDEA. A variety of techniques have been used to characterize the acquired samples, including X-ray diffraction (XRD), X-ray fluorescence (XRF), thermogravimetric analysis (TGA), nitrogen adsorption–desorption (BET), programmed ammonia desorption (NH3-TPD) and scanning electron microscopy (SEM). Analyses results demonstrated that the parent zeolite has been extremely crystalline. On the other hand, samples that have been post-treated with MDEA exhibited notable modifications to their morphological, acidity, structural, and textural features. Subsequently, the materials' ability to adsorb methanol has been assessed at 25 °C and 35 °C. This step aimed to understand the ways in which the alterations brought about by the MDEA treatment affect the materials' adsorption capability. Differential thermogravimetric (DTG) analysis of adsorbed methanol has been carried out to investigate the adsorption dynamics in the porous system of the parent and post-treated samples. Results demonstrated that during a methanol-based procedure, pore hierarchization—achieved through MDEA treatment—is essential for avoiding the development of coke. Better methanol molecule mobility is facilitated by the hierarchical pore structure, which also lessens the likelihood of coke formation—a significant issue in industrial methanol conversion applications. The results showed that pore hierarchization generated by MDEA treatment plays an important role in reducing coke formation during a methanol-based process. The hierarchical pore shape facilitates improved methanol molecule diffusion, lowering the risk of coke formation, which is a serious issue in industrial methanol conversion applications.
Matallah S., Zerigui K., Matallah A.
Energy scimago Q1 wos Q1
2024-06-01 citations by CoLab: 3 Abstract  
This paper mainly aims, on the one hand, to analyze the impact of the war and incessant conflicts on access to electricity in Yemen and, on the other hand, to reveal the effect of war and foreign aid on renewable energy generation in this conflict-ridden country over the period 1990–2021, using the ARDL model and structural breaks analysis. The main findings indicate that the 2015 war and bitter, enduring conflicts that force Yemenis to adapt to new, uncongenial, and difficult conditions increase electricity access and give rise to renewable energy generation. An increase of 1% in conflicts sparks a 2.07% increase in electricity access in Yemen. In fact, Yemen's War has fueled a renewable energy boom that even stable Arab countries themselves have not witnessed. This giant stride would not have been achieved in normal circumstances, to say the least. The results also indicate that foreign aid is increasingly playing a proactive role in boosting renewable energy generation and making electricity more accessible and affordable for Yemenis. It goes without saying that foreign aid that targets the development of renewables is the most effective solution for bringing war-torn countries out of energy poverty.
Jaouaf S., Bensaad B., Habib M.
Energy Reports scimago Q2 wos Q2 Open Access
2024-06-01 citations by CoLab: 7 Abstract  
This study investigates the thermal and energetic dynamics of primary school classrooms in a Mediterranean climate in Khoualed Abdel Hakeem, Ain Temouchent County, Algeria. The research highlights significant optimizations by focusing on passive strategies such as external shading devices, Window-to-Wall Ratio (WWR), glazing types, and building envelope adjustments. Our simulations, validated rigorously, showcase a remarkable congruence with actual electricity consumption, affirming the reliability and efficacy of our simulation model as a valuable predictive tool. A Vertical Shading Angle (VSA) of 60° proves optimal, resulting in an impressive 11% reduction in Annual Energy Consumption (AEC). A recommended WWR of 30% demonstrates an 11% decrease in AEC and improves thermal and energy efficiency. Double Low Emissivity (Double-Low E) glazing is found to be superior, resulting in a significant 14% decrease in AEC. Achieving a WWR of 50% in shaded areas helps maintain a well-balanced thermal environment, resulting in a 12% reduction in heating and cooling requirements. The integration of passive strategies in the optimized model showcases a remarkable 44% overall reduction in energy consumption. The results highlight the efficacy of passive strategies, promoting energy-conscious and ecologically responsible practices, advocating for their incorporation in educational facilities, and offering valuable insights for sustainable school building design.
Radja I., Nebatti Ech Chergui A., Zekri A., Rahman A., Khane Y., Bennabi F., Ali kadari S., Guezzoul M., Popa A., Khodja Kouider D., Aissa B., Amrani B., Khan M.M.
Physica Scripta scimago Q2 wos Q2
2024-05-16 citations by CoLab: 2 Abstract  
Abstract Tin sulfide (SnS2) is a material known for its effective photocatalytic activity due to its affordability and wide light spectrum response. To enhance and optimize its optical and chemical characteristics, doping is a straightforward approach that can improve its photocatalytic efficiency. This work focuses on the effect of Cu doping on the structural, optical, and photocatalytic properties of the thin films prepared by the spray-coating approach. XRD confirms the hexagonal SnS2 structure. As the amount of Cu added increases, the crystallite size decreases while dislocation density rises. The XPS findings show that a low concentration of copper (2%) within the SnS2 thin films exhibits both high solubility and exclusively a monovalent state, in contrast to the 4% concentration. The effective band gap is in the range of 1.9–2.2 eV. SEM image reveals a variety of morphologies, and the porosity is reduced with increasing Cu doping. Furthermore, the FTIR study confirms the Sn-S bond present at 753 cm−1. EPR studies reveal the existence of sulfur vacancies in Cu-doped SnS2. Mechanical properties were also affected, with an observed decrease in microhardness as the dopant concentration increased. The photocatalytic activity of the samples is studied by photocatalytic degradation of malachite green and Congo red dyes under visible light irradiation. Additionally, their antibacterial effect against Escherichia coli was examined. This study shows that an optimal amount of Cu doping can significantly increase the photocatalytic performance of SnS2 for efficiently decomposing organic pollutants and enhancing antibacterial activities.

Since 2013

Total publications
270
Total citations
2857
Citations per publication
10.58
Average publications per year
20.77
Average authors per publication
4.96
h-index
29
Metrics description

Top-30

Fields of science

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Condensed Matter Physics, 38, 14.07%
Electronic, Optical and Magnetic Materials, 29, 10.74%
Electrical and Electronic Engineering, 24, 8.89%
Materials Chemistry, 21, 7.78%
General Chemistry, 19, 7.04%
General Mathematics, 19, 7.04%
General Physics and Astronomy, 15, 5.56%
General Materials Science, 14, 5.19%
Physical and Theoretical Chemistry, 13, 4.81%
General Engineering, 13, 4.81%
General Medicine, 12, 4.44%
Atomic and Molecular Physics, and Optics, 12, 4.44%
Mechanics of Materials, 11, 4.07%
Applied Mathematics, 11, 4.07%
Mechanical Engineering, 10, 3.7%
Modeling and Simulation, 10, 3.7%
Inorganic Chemistry, 9, 3.33%
Computer Science Applications, 8, 2.96%
Materials Science (miscellaneous), 8, 2.96%
General Environmental Science, 8, 2.96%
Organic Chemistry, 7, 2.59%
General Earth and Planetary Sciences, 7, 2.59%
Polymers and Plastics, 6, 2.22%
Renewable Energy, Sustainability and the Environment, 6, 2.22%
Business and International Management, 6, 2.22%
Industrial and Manufacturing Engineering, 5, 1.85%
Mathematical Physics, 5, 1.85%
Computer Networks and Communications, 5, 1.85%
Numerical Analysis, 5, 1.85%
Biochemistry, 4, 1.48%
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With other organizations

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With foreign organizations

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With other countries

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France, 40, 14.81%
Saudi Arabia, 18, 6.67%
Turkey, 15, 5.56%
India, 14, 5.19%
UAE, 10, 3.7%
Spain, 8, 2.96%
Romania, 8, 2.96%
Germany, 7, 2.59%
Portugal, 6, 2.22%
Canada, 6, 2.22%
Tunisia, 5, 1.85%
Malaysia, 4, 1.48%
Russia, 3, 1.11%
China, 3, 1.11%
Egypt, 3, 1.11%
Iran, 3, 1.11%
Qatar, 3, 1.11%
Poland, 3, 1.11%
Brunei, 2, 0.74%
United Kingdom, 2, 0.74%
Lebanon, 2, 0.74%
Pakistan, 2, 0.74%
Croatia, 2, 0.74%
South Africa, 2, 0.74%
Japan, 2, 0.74%
USA, 1, 0.37%
Australia, 1, 0.37%
Brazil, 1, 0.37%
Hungary, 1, 0.37%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 2013 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.