Fayoum University

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Fayoum University
Short name
FU
Country, city
Egypt, Al Fayyum
Publications
4 367
Citations
86 656
h-index
103
Top-3 journals
Journal of High Energy Physics
Journal of High Energy Physics (253 publications)
Scientific Reports
Scientific Reports (77 publications)
IEEE Access
IEEE Access (44 publications)
Top-3 organizations
Cairo University
Cairo University (1039 publications)
Ain Shams University
Ain Shams University (582 publications)
Zagazig University
Zagazig University (328 publications)
Top-3 foreign organizations
Sapienza University of Rome
Sapienza University of Rome (320 publications)
Peking University
Peking University (312 publications)

Most cited in 5 years

Abualigah L., Yousri D., Abd Elaziz M., Ewees A.A., Al-qaness M.A., Gandomi A.H.
2021-07-01 citations by CoLab: 1575 Abstract  
• Developed a novel optimizer inspired by the behavior of Aquila (AO). • Tested AO against classical, CEC2017, CEC2019 test functions and engineering problems. • Compared the AO to other similar optimization algorithms. • Demonstrated effectiveness and superiority of the proposed algorithm. This paper proposes a novel population-based optimization method, called Aquila Optimizer (AO), which is inspired by the Aquila’s behaviors in nature during the process of catching the prey. Hence, the optimization procedures of the proposed AO algorithm are represented in four methods; selecting the search space by high soar with the vertical stoop, exploring within a diverge search space by contour flight with short glide attack, exploiting within a converge search space by low flight with slow descent attack, and swooping by walk and grab prey. To validate the new optimizer’s ability to find the optimal solution for different optimization problems, a set of experimental series is conducted. For example, during the first experiment, AO is applied to find the solution of well-known 23 functions. The second and third experimental series aims to evaluate the AO’s performance to find solutions for more complex problems such as thirty CEC2017 test functions and ten CEC2019 test functions, respectively. Finally, a set of seven real-world engineering problems are used. From the experimental results of AO that compared with well-known meta-heuristic methods, the superiority of the developed AO algorithm is observed. Matlab codes of AO are available at https://www.mathworks.com/matlabcentral/fileexchange/89381-aquila-optimizer-a-meta-heuristic-optimization-algorithm and Java codes are available at https://www.mathworks.com/matlabcentral/fileexchange/89386-aquila-optimizer-a-meta-heuristic-optimization-algorithm .
Hashim F.A., Hussien A.G.
Knowledge-Based Systems scimago Q1 wos Q1
2022-04-01 citations by CoLab: 657 Abstract  
In recent years, several metaheuristic algorithms have been introduced in engineering and scientific fields to address real-life optimization problems. In this study, a novel nature-inspired metaheuristics algorithm named as Snake Optimizer (SO) is proposed to tackle a various set of optimization tasks which imitates the special mating behavior of snakes. Each snake (male/female) fights to have the best partner if the existed quantity of food is enough and the temperature is low. This study mathematically mimics and models such foraging and reproduction behaviors and patterns to present a simple and efficient optimization algorithm. To verify the validity and superiority of the proposed method, SO is tested on 29 unconstrained Congress on Evolutionary Computation (CEC) 2017 benchmark functions and four constrained real-world engineering problems. SO is compared with other 9 well-known and newly developed algorithms such as Linear population size reduction-Success-History Adaptation for Differential Evolution (L-SHADE), Ensemble Sinusoidal incorporated with L-SHADE (LSHADE-EpSin), Covariance matrix adaptation evolution strategy (CMAES), Coyote Optimization Algorithm (COA), Moth-flame Optimization, Harris Hawks Optimizer, Thermal Exchange optimization, Grasshopper Optimization Algorithm, and Whale Optimization Algorithm. Experimental results and statistical comparisons prove the effectiveness and efficiency of SO on different landscapes with respect to exploration–exploitation balance and convergence curve speed. The source code is currently available for public from: https://se.mathworks.com/matlabcentral/fileexchange/106465-snake-optimizer
Sayed M., Yu J., Liu G., Jaroniec M.
Chemical Reviews scimago Q1 wos Q1
2022-04-19 citations by CoLab: 395 Abstract  
Solar-to-chemical energy conversion via heterogeneous photocatalysis is one of the sustainable approaches to tackle the growing environmental and energy challenges. Among various promising photocatalytic materials, plasmonic-driven photocatalysts feature prominent solar-driven surface plasmon resonance (SPR). Non-noble plasmonic metals (NNPMs)-based photocatalysts have been identified as a unique alternative to noble metal-based ones due to their advantages like earth-abundance, cost-effectiveness, and large-scale application capability. This review comprehensively summarizes the most recent advances in the synthesis, characterization, and properties of NNPMs-based photocatalysts. After introducing the fundamental principles of SPR, the attributes and functionalities of NNPMs in governing surface/interfacial photocatalytic processes are presented. Next, the utilization of NNPMs-based photocatalytic materials for the removal of pollutants, water splitting, CO2 reduction, and organic transformations is discussed. The review concludes with current challenges and perspectives in advancing the NNPMs-based photocatalysts, which are timely and important to plasmon-based photocatalysis, a truly interdisciplinary field across materials science, chemistry, and physics.
El-Belely E.F., Farag M.M., Said H.A., Amin A.S., Azab E., Gobouri A.A., Fouda A.
Nanomaterials scimago Q1 wos Q2 Open Access
2021-01-04 citations by CoLab: 258 PDF Abstract  
In this study, zinc oxide nanoparticles (ZnO-NPs) were successfully fabricated through the harnessing of metabolites present in the cell filtrate of a newly isolated and identified microalga Arthrospira platensis (Class: Cyanophyceae). The formed ZnO-NPs were characterized by UV–Vis spectroscopy, Fourier transform infrared (FT-IR), transmission electron microscopy (TEM), energy-dispersive spectroscopy (EDX), X-ray diffraction (XRD), and X-ray photoelectron spectroscopy (XPS). Data showed the efficacy of cyanobacterial metabolites in fabricating spherical, crystallographic ZnO-NPs with a size ≈30.0 to 55.0 nm at a wavelength of 370 nm. Moreover, FT-IR analysis showed varied absorption peaks related to nanoparticle formation. XPS analysis confirms the presence of Zn(II)O at different varied bending energies. Data analyses exhibit that the activities of biosynthesized ZnO-NPs were dose-dependent. Their application as an antimicrobial agent was examined and formed clear zones, 24.1 ± 0.3, 21.1 ± 0.06, 19.1 ± 0.3, 19.9 ± 0.1, and 21.6 ± 0.6 mm, at 200 ppm against Bacillus subtilis, Staphylococcus aureus, Pseudomonas aeruginosa, Escherichia coli, and Candida albicans, respectively, and these activities were reduced as the NPs concentration decreased. The minimum inhibitory concentration (MIC) values were determined as 50 ppm for S. aureus, 25 ppm for P. aeruginosa, and 12.5 ppm for B. subtilis, E. coli, and C. albicans. More interestingly, ZnO-NPs exhibit high in vitro cytotoxic efficacy against cancerous (Caco-2) (IC50 = 9.95 ppm) as compared with normal (WI38) cell line (IC50 = 53.34 ppm).
Elnahal A.S., El-Saadony M.T., Saad A.M., Desoky E.M., El-Tahan A.M., Rady M.M., AbuQamar S.F., El-Tarabily K.A.
2022-01-24 citations by CoLab: 250 Abstract  
Microbial control agents serve as alternatives to synthetic pesticides for the management of insect pests and plant pathogens. Naturally occurring microorganisms such as bacteria, fungi, and protozoa may be beneficial, pathogenic, or neutral to host plants. This review focuses on the potential role of useful microorganisms as biofertilizers or biopesticides in sustaining and enhancing crop production, and protection. It is necessary to highlight the advantages of the beneficial microorganisms to encourage farmers to use biological control agents and biofertilizers and reduce the excessive use of toxic chemical pesticides and fertilizers. Here, we review the importance of using microorganisms in the agriculture sector for their potential role in fulfilling the nutritional requirements of plants, food safety, and sustainable crop production. Microorganisms can interact with the crop plants to improve their resistance to pathogen attack, plant growth, and development. Their metabolites have been recognized based on their precious excellent plant growth promotion, efficient biocontrol capabilities, successful mass production, appropriate formulation and availability for commercial application. Bio-complexes, including biofertilizers and biopesticides, promote growth and provide protection to plants against various biotic and abiotic stress through the production of plant growth regulators and siderophores, enhancement of nutrient uptake, increasing yield, and production of antagonistic compounds such as antibiotics, hydrolytic enzymes, hydrogen cyanide, and volatile organic compounds. This review sheds the light on the potential of employing microbial agents in agriculture as biofertilizers, biopesticides, nano-biofertilizers and nano-biopesticides to enhance plant productivity and sustainable agriculture.
El-Neaj Y.A., Alpigiani C., Amairi-Pyka S., Araújo H., Balaž A., Bassi A., Bathe-Peters L., Battelier B., Belić A., Bentine E., Bernabeu J., Bertoldi A., Bingham R., Blas D., Bolpasi V., et. al.
EPJ Quantum Technology scimago Q1 wos Q1 Open Access
2020-03-04 citations by CoLab: 238 PDF Abstract  
We propose in this White Paper a concept for a space experiment using cold atoms to search for ultra-light dark matter, and to detect gravitational waves in the frequency range between the most sensitive ranges of LISA and the terrestrial LIGO/Virgo/KAGRA/INDIGO experiments. This interdisciplinary experiment, called Atomic Experiment for Dark Matter and Gravity Exploration (AEDGE), will also complement other planned searches for dark matter, and exploit synergies with other gravitational wave detectors. We give examples of the extended range of sensitivity to ultra-light dark matter offered by AEDGE, and how its gravitational-wave measurements could explore the assembly of super-massive black holes, first-order phase transitions in the early universe and cosmic strings. AEDGE will be based upon technologies now being developed for terrestrial experiments using cold atoms, and will benefit from the space experience obtained with, e.g., LISA and cold atom experiments in microgravity. KCL-PH-TH/2019-65, CERN-TH-2019-126
Sayed M., Xu F., Kuang P., Low J., Wang S., Zhang L., Yu J.
Nature Communications scimago Q1 wos Q1 Open Access
2021-08-16 citations by CoLab: 236 PDF Abstract  
Solar conversion of CO2 into energy-rich products is one of the sustainable solutions to lessen the global energy shortage and environmental crisis. Pitifully, it is still challenging to attain reliable and affordable CO2 conversion. Herein, we demonstrate a facile one-pot approach to design core-triple shell Mn, C-codoped ZnO hollow spheres as efficient photocatalysts for CO2 reduction. The Mn ions, with switchable valence states, function as “ionized cocatalyst” to promote the CO2 adsorption and light harvesting of the system. Besides, they can capture photogenerated electrons from the conduction band of ZnO and provide the electrons for CO2 reduction. This process is continuous due to the switchable valence states of Mn ions. Benefiting from such unique features, the prepared photocatalysts demonstrated fairly good CO2 conversion performance. This work is endeavoured to shed light on the role of ionized cocatalyst towards sustainable energy production. Photoreduction of CO2 into energy-rich products is a sustainable solution to lessen the global energy and environmental crisis. Here the authors show that Mn ions in Mn, C-codoped ZnO hollow spheres function as “ionized cocatalyst” to promote the CO2 adsorption and light harvesting to boost the CO2 photoreduction activity.
Fouad Y., Waked I., Bollipo S., Gomaa A., Ajlouni Y., Attia D.
Liver International scimago Q1 wos Q1
2020-04-28 citations by CoLab: 215 Abstract  
In medicine, language matters and the words used to name and describe a disease can have a profound impact on patients and their families. Over the last two decades, many criticisms have been voiced about the nomenclature and definition of non-alcoholic fatty liver disease (NAFLD) in regards not only to the prominent role that alcohol plays in the definition but also on the negative impacts of the nomenclature including trivialization, stigmatization and less consideration of the disease in health policy. Recently, a consensus of international experts proposed that the disease acronym be changed from NAFLD to metabolic (dysfunction) associated fatty liver disease or 'MAFLD'. This change goes far beyond a mere semantic revision and may be the first step that catalyses the process to better conceptualize the disease for health promotion, patient orientation, case identification, ongoing clinical trials and for health services delivery. Here we review the history of, and definitions of MAFLD in the context of advancing our understanding of the pathogenesis of the disease. We also address the reasons, signals, promises, challenges and the way going forward from the name change from various stakeholder perspectives.
Semida W.M., Abdelkhalik A., Mohamed G.F., Abd El-Mageed T.A., Abd El-Mageed S.A., Rady M.M., Ali E.F.
Plants scimago Q1 wos Q1 Open Access
2021-02-23 citations by CoLab: 211 PDF Abstract  
Water shortage and salinity are major challenges for sustaining global food security. Using nutrients in the nano-scale formulation including zinc oxide nanoparticles (ZnO NP) is a novel fertilization strategy for crops. In this study, two field-based trials were conducted during 2018 and 2019 to examine the influence of three ZnO NP concentrations (0, 50, and 100 ppm) in eggplant grown under full irrigation (100 of crop evapotranspiration; ETc) and drought stress (60% of ETc). Plant growth, yield, water productivity (WP), physiology, biochemistry, and anatomy responses were evaluated. Drought stress significantly decreased membrane stability index (MSI), relative water content (RWC), and photosynthetic efficiency, thus hampered eggplant growth and yield. In contrast, exogenous ZnO NP to water-stressed eggplant resulted in increased RWC and MSI associated with improved stem and leaf anatomical structures and enhanced photosynthetic efficiency. Under drought stress, supplementation of 50 and 100 ppm ZnO NP improved growth characteristics and increased fruit yield by 12.2% and 22.6%, respectively, compared with fully irrigated plants and nonapplied ZnO NP. The highest water productivity (WP) was obtained when eggplant was irrigated with 60% ETc and foliarly treated with 50 or 100 ppm of ZnO NP, which led to 50.8–66.1% increases in WP when compared with nontreated fully irrigated plants. Collectively, these findings demonstrated that foliar spraying ZnO NP gives the utility for alleviating drought stress effects on eggplant cultivated in saline soil.
Alzahrani B., Abd El-Aty A., Xu Y., Hou Y., Zhang S., Ali A., Ahmed M.M., Shokry A.
Materials scimago Q2 wos Q2 Open Access
2025-03-01 citations by CoLab: 0 PDF Abstract  
The hot-flow behaviors of Al-Mg-Si alloy are complex because they depend on ε, ε˙, and T. Hence, it is vital to understand and determine the Al-Mg-Si alloy’s flow behaviors under several deformation conditions. Therefore, in this study, Crystal Plasticity (CP) modeling, modified Zerilli–Armstrong (MZA), and two JC models were developed to precisely determine the hot deformation behaviors of this alloy. The reliability and predictability of these models were evaluated via comparisons of the determined and experimental results acquired in the ε˙ range of 10−3 to 1 s−1 and T range of 400–550 °C. Additionally, statistical parameters including the RMSE, AARE, and R were utilized to assess these models’ reliability for determining this alloy’s flow behaviors under several forming conditions. By analyzing these statistical parameters and comparing the predicted and experimental stresses, it can be concluded that the flow stresses predicted by the CP modeling and S2-MJC model exhibit a strong alignment with the experimental flow stresses. This contrasts with the results from the MZA and S1-MJC models. These results are attributed to the ability of CP modeling to couple the microstructure state of this alloy and the interactions between ε and ε˙ on the one hand and between T, ε˙, and ε on the other hand, facilitated by a comprehensive set of parameters that link the dynamic recovery and softening mechanisms components in the S2‐MJC model.
Saeed M., Mostafa N., Mahmoud A., Elsayed M.
Luminescence scimago Q2 wos Q2
2025-02-27 citations by CoLab: 0 Abstract  
ABSTRACTThis work presents the development of new, rapid, and sensitive spectrophotometric and spectrofluorimetric methods for the determination of Aripiprazole in different dosage forms and human plasma. Both methods are based on the formation of an ion‐pair complex between Eosin Y and the studied drug in an acidic medium. In the spectrophotometric method, the absorbance of the formed complex was estimated at 551 nm, showing a linear range from 1.0 to 13.0 μg mL−1 with detection and quantification limits of 0.20 and 0.60 μg mL−1, respectively. The spectrofluorimetric method measured the fluorescence emission of the formed complex at 545 nm upon excitation at 255 nm. This method exhibited a good linear range from 0.1 to 2.0 μg mL−1 with detection and quantification limits of 0.03 and 0.09 μg mL−1, respectively. The developed techniques offer several benefits, such as simplicity, cost‐effectiveness, and high sensitivity. The proposed methods were validated in accordance with ICH guidelines, permitting precise analysis of the studied drug in its tablets and spiked human plasma samples with a high percent recovery. Moreover, the eco‐friendly characteristics of the proposed methods were evaluated using two greenness assessment tools: AGREE and GAPI.
Deeb S.E., Ashour E.A., Youssef I.M., Alshehry G., Abuljadayel D.A., Aljahdali N., Albaqami N.M., Bahnas M.M., Abd El-Hack M.E.
Annals of Animal Science scimago Q2 wos Q2
2025-02-26 citations by CoLab: 0 Abstract  
Abstract This study evaluated the effects of garlic powder (GP) as a natural growth promoter in broiler diets, replacing traditional antibiotics. Four experimental groups of 264-day-old broiler chicks (Ross 308) were established in a fully randomized design experiment. Each group had six replicates, each with eleven unsexed chicks. The treatments were used as follows: The 1st group was the basal diet without any additive (control group). 2nd, 3rd and 4th groups (1 GP, 2 GP and 3 GP) receving basal diet + 1, 2, and 3 g GP/kg feed, respectively. Results demonstrated that 2 and 3 g GP/kg diets significantly improved feed conversion ratio (FCR), while 1 g GP/kg feed led to the greatest gains in body weight, weight gain, and feed intake. Blood analysis revealed elevated total protein, albumin, and A/G ratios across all GP groups, alongside reduced creatinine and ALT levels. The 3 g GP/kg diet notably increased HDL and reduced total cholesterol (TC) and LDL concentrations. Immunoglobulin Y (IgY) levels were highest in birds fed 1 and 3 g GP/kg, with IgM levels peaking in the 1 g GP group. Additionally, the 3 g GP/kg diet enhanced superoxide dismutase (SOD) activity and reduced malondialdehyde (MDA) levels, a marker of oxidative stress. In contrast, the control group exhibited the highest MDA levels. Additionally, the highest lactic acid bacteria (LAB) and total bacterial count (TBC) are found in the 1 GP group. However, the control group had the highest levels of E. coli. In conclusion, incorporating garlic powder into broiler diets enhanced immune response, blood parameters, overall growth, and gut bacteria counts with optimal effects observed at 1 and 3 g GP/kg.
Taha A.M., Kamel H.A., Khlidj Y., Salem D.S., Saed S.A., Abouelmagd K., Nguyen D., Shash E., Chapagain S., Kassem L.
Medicine (United States) scimago Q3 wos Q2 Open Access
2025-02-21 citations by CoLab: 0 Abstract  
Background: The management of early breast cancer (BC) includes breast-conserving surgery (BCS), postoperative radiation therapy (PORT) and systemic therapy. Therefore, we aim at evaluating all the efficacy endpoints for PORT compared to no PORT in older women with early-stage BC. Method: We searched PubMed, Web of Science, Cochrane, and Scopus databases from inception up to May 2024 for randomized controlled trials (RCTs) where patients were randomized into either PORT vs no PORT. The following outcomes were studied: any local recurrence, nodal recurrence, contralateral BC, distant relapse, all-causes and cancer-specific mortality. Result: Seven eligible RCTs with a total of 4860 patients were included; 2435 of them received PORT; and 2425 did not. All patients had a node-negative disease, with 84.4% older than 60 years and only 10.4% had tumors larger than 2 cm. Patients in both treatment arms were offered adjuvant endocrine therapy e.g. tamoxifen and anastrozole. The median follow-up was 9.7 years (95% CI: 5.1–11.3). The survival risk for any local recurrence for patients with no radiotherapy was significantly higher than for those who used PORT (HR: 6.3; 95% CI: 4.17–9.52). Also, patients in the PORT arm had a significantly lower risk of nodal recurrence (risk of recurrence (RR): 0.28, 95% CI: 0.11–0.72, P = .009). However, PORT was not associated with a significant reduction in the risk of contralateral BC, distant relapse, BC-specific mortality or all-cause mortality (RR: 0.883, 1.52, 1.12, 0.995, respectively). Conclusion: Postoperative radiotherapy significantly reduces local and regional recurrence following BCS in early estrogen receptor-positive elderly BC with limited value on distant recurrence or mortality. The risk-benefit ratio should be determined for every patient to avoid overtreatment of a significant proportion of patients.
Saker S.H., Mahmoud R.R., Krnić M.
Periodica Mathematica Hungarica scimago Q2 wos Q4
2025-02-14 citations by CoLab: 0 Abstract  
In this paper, we characterize the boundedness of a generalized Hardy operator and its adjoint on $$\ell _{w}^{p}(\mathbb {Z}_{+})$$ , via the discrete weights w belonging to the discrete classes $${\mathcal {B}}_{p}^{\lambda }$$ and $${\mathcal {B}}_{p}^{*\lambda }$$ , respectively. As an application of the corresponding boundedness, we show that the self-improving property of a discrete class $${\mathcal {B}}_{p}$$ is valid, i.e., we prove that if $$w\in {\mathcal {B}}_{p}$$ for some $$10$$ such that $$w\in {\mathcal {B}}_{p-\varepsilon }$$ . Similarly, we also prove the self-improving property of a discrete class $${\mathcal {B}}_{p}^{*}$$ , i.e., we show that if $$w\in {\mathcal {B}}_{p}^{*}$$ for some $$10$$ such that $$w\in {\mathcal {B}}_{p+\varepsilon }^{*}.$$ Finally, the established results are also applied for proving the boundedness of the Hardy–Littlewood maximal operator on Lorentz sequence spaces.
Elsayed M.A., Algethami F.K., Alotaibi A.N., AlSalem H.S., Mohammed Abd Elhalim L., Gamal M.
BMC Chemistry scimago Q2 wos Q2 Open Access
2025-02-13 citations by CoLab: 0 PDF Abstract  
This paper represents an effective and reliable high-performance liquid chromatography-diode array detector (HPLC-DAD) method for the regular assay of Clorsulon (CLR) and Moxidectin (MOX) anti-parasitic drugs in injection solution and pure powder without derivatization processes. The mobile phase was composed of acetonitrile: methanol: water: acetic acid (56.0: 36.0: 7.5: 0.5 by volume). Besides, a Supelcosil C18 (4.60 mm ×15.0 cm, 5.0 μm) column was selected for completing the separation and quantitation of the two aforementioned veterinary drugs at a wavelength of 254 nm. The flow rate was set at 2.0 mL min−1 at the isocratic approach. We have conducted the degradation experiments using the HPLC-DAD instrument, adhering to the guidelines of the International Conference of Harmonization (ICH), subjecting CLR and MOX to light, heat, basic, acidic, and oxidative stressful conditions to figure out the ideal storage conditions and the possible medications that can be co-administered with them. CLR and MOX were quantified linearly from 400.0 to 1200.0 and from 40.0 to 120.0 µg mL−1, respectively. The maximum recorded degradation results were in acidic, basic, and oxidative conditions. Therefore, strong basic or acidic medications and oxidants shouldn’t be combined with CLR and MOX in a co-formulated medication. Greenness, carbon footprint, and blueness assessments for the novel method were conducted to verify the sustainability and functionality. The thirteen subdivisions in the GAPI pictogram, which were categorized as either green or yellow, refer to moderate green aspects. The final AGREE score of 0.56 and the majority of its subdivisions, ranging from dark green to yellow, indicated a relatively moderate level of greenness. This was primarily due to the significant acetonitrile content (56%) in the mobile phase. Using the HEXAGON method, the ultimate score is 0 out of 5 since the total calculated carbon footprint is less than 0.10. An eco-friendly method is one with a reduced carbon footprint score. The innovative HPLC method’s functioning and utility are indicated via its overall BAGI score of 80.0. Generally, the outcomes of the AGREE and GAPI pictograms indicate that the HPLC-DAD has a greenness feature, despite its moderate sensitivity.
Abdelkhalik A., Gyushi M.A., Howladar S.M., Kutby A.M., Asiri N.A., Baeshen A.A., Nahari A.M., Alsamadany H., Semida W.M.
Plants scimago Q1 wos Q1 Open Access
2025-02-10 citations by CoLab: 0 PDF Abstract  
This study investigated the combined effects of zinc oxide nanoparticles (Nano-Zn) and moringa leaf extract (MLE) on squash plants grown under water stress conditions in saline soil during 2021–2022. The research compared full irrigation (100% ETc) with water deficit conditions (60% ETc). While water deficit negatively impacted plant growth, yield, and various physiological parameters, the sequential application of Nano-Zn (at 50 or 100 mg L−1) with MLE (3%) significantly mitigated these adverse effects. The combined treatment proved more effective than individual applications, enhancing growth parameters, photosynthetic efficiency, and antioxidant systems. The treatment particularly improved stress tolerance by increasing protective compounds like soluble sugars and amino acids while reducing harmful H2O2 levels. The study concluded that sequential application of 100 mg L−1 Nano-Zn with MLE was optimal for enhancing squash performance under drought stress, with 50 mg L−1 Nano-Zn plus MLE as the second-best option.
Sweidan A.H., El-Bendary N., Taie S.A., Idrees A.M., Elhariri E.
2025-02-10 citations by CoLab: 0 PDF Abstract  
The COVID-19 pandemic has generated a vast corpus of online conversations regarding vaccines, predominantly on social media platforms like X (formerly known as Twitter). However, analyzing sentiment in Arabic text is challenging due to the diverse dialects and lack of readily available sentiment analysis resources for the Arabic language. This paper proposes an explainable Deep Learning (DL) approach designed for sentiment analysis of Arabic tweets related to COVID-19 vaccinations. The proposed approach utilizes a Bidirectional Long Short-Term Memory (BiLSTM) network with Multi-Self-Attention (MSA) mechanism for capturing contextual impacts over long spans within the tweets, while having the sequential nature of Arabic text constructively learned by the BiLSTM model. Moreover, the XLNet embeddings are utilized to feed contextual information into the model. Subsequently, two essential Explainable Artificial Intelligence (XAI) methods, namely Local Interpretable Model-Agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP), have been employed for gaining further insights into the features’ contributions to the overall model performance and accordingly achieving reasonable interpretation of the model’s output. Obtained experimental results indicate that the combined XLNet with BiLSTM model outperforms other implemented state-of-the-art methods, achieving an accuracy of 93.2% and an F-measure of 92% for average sentiment classification. The integration of LIME and SHAP techniques not only enhanced the model’s interpretability, but also provided detailed insights into the factors that influence the classification of emotions. These findings underscore the model’s effectiveness and reliability for sentiment analysis in low-resource languages such as Arabic.
Samir A.A., Elamir A.H., Basyouni Helal M., Goudy Y., Elbarbary K., El-Mezayen M., Abo-Elenien W., Abdelazim E.H., Mabrouk M.A., Ibrahim A.H., Salah A.W., Attallah R.M., El-Saeed M.M., Marei E.M., Lotfy A., et. al.
BMC Medical Education scimago Q1 wos Q1 Open Access
2025-02-08 citations by CoLab: 0 PDF Abstract  
Academic self-efficacy (ASE), influenced by various sociodemographic, lifestyle, and psychological factors, is a critical determinant of academic performance in medical students. In Egypt, the medical education system underwent recent drastic changes. Therefore, we aim to explore the effects of these changes on the variables above and, subsequently, on ASE among a national sample of Egyptian medical students. We conducted a cross-sectional study across 30 Egyptian medical colleges using a validated electronic Arabic survey to evaluate sociodemographic, lifestyle behaviors, psychological factors, and ASE. Categorical variables were described using frequencies and percentages, while Continuous variables were summarized as mean and standard deviation. Bivariate analysis with post-hoc testing, Pearson’s correlation coefficient, and multivariate linear regression were employed to assess the associations between the study variables and ASE. Data analysis was performed using R Statistical Software. A total of 1446 participants were included, with a mean age of 20.59 ± 1.68. Of these, 61.5% (n = 890) were Females, while 94.3% (n = 1363) were single. ASE was significantly associated with certain financial status, smoking, sleeping hours, breakfast patterns, diet changes, and fluids. Stress, anxiety, and depression were associated with and correlated to poor ASE. Only depression, oversleeping, and smoking were significant predictors of worse ASE. Multiple variables are significantly associated with, correlated to, or predictors of ASE after the recent reform in the Egyptian medical education system. Subsequently, targeted interventions to specific sociodemographic, lifestyle, and psychological factors can be adopted and assessed through future longitudinal pre-post interventional studies.
Mikhail C.R., Ragab M.H., Ahmed Y., El Desouky E.D., Hassanein F.E., Bekhit M., Mostafa M.H.
BMC Oral Health scimago Q1 wos Q1 Open Access
2025-02-08 citations by CoLab: 0 PDF Abstract  
Abstract Background Anxiety may be induced in the dental clinics, which is an essential learning environment for undergraduate dental students. This could have a negative impact on clinical performance. This study aimed to estimate the incidence of clinical anxiety among a sample of Dental students and to determine possible precipitating factors for clinical anxiety among them. Methods A cross-sectional study was carried out among 3rd and 4th year dental students at King Salman International University using the modified 34 items of Moss and McManus clinical anxiety questionnaire. Results 263 students participated. Dental students reported higher incidence of clinical anxiety (60.8%), particularly with different dental treatment plan procedures related clinical situations fulfilling 31.2 out of mean score of anxiety all (74.0 ). Females had higher anxiety score in all domains than males, the same trend noticed in students who reported dental phobia and previous bad dental experiences (P < 0.001, P 0.016, P 0.003 respectively). Participants rated the clinical anxiety precipitating situations in a descending order as follows: extracting wrong tooth (39.5%), giving wrong treatment (37.6%), tearing of the cheek/lips due to catching on a dental burr (35.7%), fracturing a tooth (34.4%), wrong diagnosis (28.1%), inadvertently hurting the patient (22.1%), inability to meet requirements before exams (19.1%), dealing with a fainting patient during dental treatment (18.7%). Two clinical anxiety precipitating situations had almost the same score including restoration failure/recurrent caries and endodontic retreatment procedures 14.8% and 14.4% respectively. Also, extracting tooth and arresting postoperative bleeding had the same score of 13.7%, while the rest of other clinical situations ranged from 11.8 to 1.1%. Conclusions dental students had a comparatively high level of anxiety during clinical classes especially females and those with dental phobia and previous bad dental experiences. Dental students may benefit from stress management classes, mentorship programs, and improved clinical supervision in order to reduce clinical anxiety and build resilience.
Tumasyan A., Adam W., Andrejkovic J.W., Bergauer T., Chatterjee S., Damanakis K., Dragicevic M., Escalante Del Valle A., Frühwirth R., Jeitler M., Krammer N., Lechner L., Liko D., Mikulec I., Paulitsch P., et. al.
Journal of High Energy Physics scimago Q2 wos Q1 Open Access
2025-02-07 citations by CoLab: 0 PDF Abstract  
Abstract A search is presented for the resonant production of a pair of standard model-like Higgs bosons using data from proton-proton collisions at a centre-of-mass energy of 13 TeV, collected by the CMS experiment at the CERN LHC in 2016–2018, corresponding to an integrated luminosity of 138 fb −1. The final state consists of two b quark-antiquark pairs. The search is conducted in the region of phase space where at least one of the pairs is highly Lorentz-boosted and is reconstructed as a single large-area jet. The other pair may be either similarly merged or resolved, the latter reconstructed using two b-tagged jets. The data are found to be consistent with standard model processes and are interpreted as 95% confidence level upper limits on the product of the cross sections and the branching fractions of the spin-0 radion and the spin-2 bulk graviton that arise in warped extradimensional models. The limits set are in the range 9.74–0.29 fb and 4.94–0.19 fb for a narrow radion and a graviton, respectively, with masses between 1 and 3 TeV. For a radion and for a bulk graviton with widths 10% of their masses, the limits are in the range 12.5–0.35 fb and 8.23–0.23 fb, respectively, for the same masses. These limits result in the exclusion of a narrow-width graviton with a mass below 1.2 TeV, and of narrow and 10%-width radions with masses below 2.6, and 2.9 TeV, respectively.
Ayoub S.E., Ahmed A.M., Abdelwahed M.Y., Khalefa A.A., Awaji A.A., Zekry S.S., Ibrahim E.G., Eid H.M., Elasmer S.M., Fares R.
2025-02-07 citations by CoLab: 0 PDF Abstract  
Abstract About 5% of the population suffers from fibromyalgia (FM), a chronic multi-symptom pain illness whose pathophysiology is still unknown. We aimed to be the first to investigate the possible association of sera levels of miR-217 and miR-532 in patients with fibromyalgia and correlate their expression levels to different clinical and biochemical disease criteria. This study included 80 participants who splitted into two groups: 40 fibromyalgia sufferers (12 male and 28 female), and 40 healthy volunteers (10 male and 30 female) who served as the control group. Venous blood samples were collected from all subjects. The miR-217 and miR-532 serum expressions were detected using quantitative real-time PCR (qRT-PCR). According to our data, the fold changes of miR-217 and miR-532 in fibromyalgia patients were significantly lower than in controls, for miR-217 (median = 0.1359, IQR: 0.038–0.287, P < 0.001) and miR-532 [median = 0.2199, IQR: (0.114–0.421), P < 0.001]. In addition, there was a significant negative relationship between Aspartate transaminase (AST) and both miR-217 and miR-532 (r = − 0.480, P = P < 0.001 r = − 0.462, P = P < 0.001), respectively. Serum miR-217 and miR-532 could serve as potential diagnostic biomarkers for fibromyalgia.
Mostafa A.O., El-Hawsh G.M.
Afrika Matematika scimago Q3 wos Q2 Open Access
2025-02-07 citations by CoLab: 0 PDF Abstract  
Abstract In the present paper, we introduce the subclasses $$\sum _{b}^{*}\left( q,\phi \right) $$ ∑ b ∗ q , ϕ and $$\sum _{b}^{*}\left( \alpha ,q,\phi \right) $$ ∑ b ∗ α , q , ϕ of meromorphic functions $$f\left( z\right) $$ f z satisfying $$1+\frac{1}{b}\left[ -\frac{qzD_{q}^{*}f(z)}{f(z)}-1\right] \prec \phi (z)$$ 1 + 1 b - q z D q ∗ f ( z ) f ( z ) - 1 ≺ ϕ ( z ) and $$1+\frac{1}{b}\left[ \frac{-\left( 1-\frac{\alpha }{q}\right) qzD_{q}^{*}f\left( z\right) +\alpha qzD_{q}^{*}\left[ zD_{q}^{*}f\left( z\right) \right] }{\left( 1-\frac{\alpha }{q}\right) f\left( z\right) -\alpha zD_{q}^{*}f\left( z\right) }-1\right] \prec \phi (z)\ (b\in \mathbb {C} ^{*}=\mathbb {C}\backslash \left\{ 0\right\} ,\ $$ 1 + 1 b - 1 - α q q z D q ∗ f z + α q z D q ∗ z D q ∗ f z 1 - α q f z - α z D q ∗ f z - 1 ≺ ϕ ( z ) ( b ∈ C ∗ = C \ 0 , $$\alpha \in \mathbb {C}\backslash (0,1],\ \operatorname {Re}(\alpha )\ge 0,\ 0<q<1)$$ α ∈ C \ ( 0 , 1 ] , Re ( α ) ≥ 0 , 0 < q < 1 ) , respectively. Sharp bounds for the Fekete-Szegö functional $$\left| a_{1}-\mu a_{0}^{2}\right| $$ a 1 - μ a 0 2 are obtained.
Hammam N., El-Hadidi T., El-Hadidi K., Elsaman A., El-Bakry S.A., Nassr M., El-Saadany H.M., Mosad D., Nasef S.I., Selim Z.I., Samy N., Moshrif A., Taha H., Fawzy R.M., Al-Adle S.S., et. al.
Clinical Rheumatology scimago Q2 wos Q2
2025-02-06 citations by CoLab: 0 Abstract  
Abstract Background Elderly-onset rheumatoid arthritis (EORA) may have peculiar findings compared to juvenile-onset RA (JORA). The aim of the work was to present and compare the clinical characteristics of RA patients with JORA and elderly-onset EORA to a group of cases with adult-onset (AORA) and to contrast the findings worldwide. Methods The study included 1100 adult RA patients: 209 JORA and 329 EORA, compared with 562 AORA extracted from a big data national study on 10,364 RA patients. Clinical characteristics, laboratory investigations, medications received, and co-morbidities were recorded. The disease activity index (DAS28) and health assessment questionnaire (HAQ) were estimated. Results The JORA cases represented 19% and EORA 29.9% of the included cohort. The mean age at onset for JORA, EORA, and AORA were 15.1 ± 2.1, 64 ± 4.2, and 36.4 ± 10 years (p < 0.0001), and the female-male ratio was 6.2:1, 2.7:1, and 7.3:1 (p < 0.0001), respectively. In EORA, body mass index (28.8 ± 5.8) and frequencies of smokers (11.6%), diabetes (12.2%), hypertension (19.8%), and osteoporosis (5.2%) were significantly higher than in JORA (26.02 ± 5; 5.3%, 2.9%, 3.8%, and 1%) and AORA (27.6 ± 5.6; 3%, 8.4%, 14.9%, and 2.3%, p = 0.016) (p < 0.0001, p = 0.001, p < 0.0001, and p = 0.009, respectively). In JORA, oral ulcers were significantly more frequent (p = 0.04); in EORA, cardiovascular manifestations (p < 0.0001) and hypothyroidism (p = 0.039) were more frequent; and DAS28 (p = 0.01) and HAQ (p = 0.038) were higher. Fibromyalgia and methotrexate administration were significantly more frequent in AORA (p < 0.0001 and p = 0.04, respectively). Rheumatoid factor, anti-cyclic citrullinated peptide, and double seropositivity were significantly more frequent in EORA (p < 0.0001, p = 0.008, and p = 0.002, respectively). Conclusion Comorbidities, cardiovascular manifestations, hypothyroidism, higher disease activity, and functional disability are more common in EORA patients. Key Points• Juvenile-onset and elderly-onset RA patients have notable differences compared to the adult-onset cases.• Co-morbidities and certain manifestations, including cardiovascular disease and hypothyroidism, as well as higher disease activity and functional disability, are more common in elderly-onset patients.• Fibromyalgia remains more frequent in adult-onset cases.

Since 1981

Total publications
4367
Total citations
86656
Citations per publication
19.84
Average publications per year
99.25
Average authors per publication
162.83
h-index
103
Metrics description

Top-30

Fields of science

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General Medicine, 433, 9.92%
Nuclear and High Energy Physics, 260, 5.95%
General Materials Science, 210, 4.81%
Electrical and Electronic Engineering, 210, 4.81%
General Chemistry, 206, 4.72%
Condensed Matter Physics, 206, 4.72%
Renewable Energy, Sustainability and the Environment, 152, 3.48%
Mechanical Engineering, 151, 3.46%
General Engineering, 148, 3.39%
Materials Chemistry, 144, 3.3%
Plant Science, 144, 3.3%
General Chemical Engineering, 141, 3.23%
Agronomy and Crop Science, 136, 3.11%
Energy Engineering and Power Technology, 130, 2.98%
Multidisciplinary, 128, 2.93%
Organic Chemistry, 126, 2.89%
Biochemistry, 126, 2.89%
Mechanics of Materials, 121, 2.77%
Electronic, Optical and Magnetic Materials, 120, 2.75%
Analytical Chemistry, 111, 2.54%
Atomic and Molecular Physics, and Optics, 99, 2.27%
Physical and Theoretical Chemistry, 94, 2.15%
Animal Science and Zoology, 94, 2.15%
Molecular Biology, 92, 2.11%
Pharmaceutical Science, 92, 2.11%
Industrial and Manufacturing Engineering, 91, 2.08%
Civil and Structural Engineering, 91, 2.08%
Applied Mathematics, 88, 2.02%
Pollution, 87, 1.99%
Drug Discovery, 85, 1.95%
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With other countries

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Saudi Arabia, 1135, 25.99%
USA, 635, 14.54%
China, 626, 14.33%
United Kingdom, 480, 10.99%
India, 451, 10.33%
Germany, 441, 10.1%
Pakistan, 396, 9.07%
France, 388, 8.88%
Italy, 386, 8.84%
Spain, 359, 8.22%
Turkey, 353, 8.08%
Republic of Korea, 351, 8.04%
Belgium, 345, 7.9%
Poland, 343, 7.85%
Greece, 336, 7.69%
Mexico, 330, 7.56%
Switzerland, 329, 7.53%
Brazil, 327, 7.49%
Russia, 326, 7.47%
Iran, 325, 7.44%
Czech Republic, 322, 7.37%
Portugal, 317, 7.26%
Finland, 317, 7.26%
Austria, 315, 7.21%
Hungary, 311, 7.12%
Colombia, 310, 7.1%
Bulgaria, 309, 7.08%
Georgia, 306, 7.01%
Croatia, 303, 6.94%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1981 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.