Effective Approach for Increasing the Heteroatom Doping Levels of Porous Carbons for Superior CO2 Capture and Separation Performance by Abdelmoaty, Yomna H

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CO, CO2, and SO2 detection based on functionalized graphene nanoribbons: First principles study by Ehab, Salih

“…Before modification, the adsorption energies have been found to be −0.260, −0.145, and −0.196 eV due to the adsorption of CO, CO2, and SO2, respectively. After modification, the adsorption energy increased remarkably to −0.538 and −0.767 eV for the cases of AGNR-O-OH-CO2 and AGNR-O-OH-SO2, respectively. …”
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Pt-doped armchair graphene nanoribbon as a promising gas sensor for CO and CO2: DFT study by Ehab, Salih

“…After doping, the results revealed a significant increase in the adsorption energy to almost 9 times than the non-doped systems for the cases of CO on Pt–N-AGNR as well as CO2 on both Pt–H-AGNR and Pt–N-AGNR. …”
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SARS-CoV-2 Variants in Lebanon by Al Kodsi, Ibrahim

“…Variants of concern (VOC) included Alpha, Beta, Delta, Gamma, and most recently Omicron. Co-infections of SARS-CoV-2 with influenza viruses were detected and led to increased infectivity and SARS-CoV-2 viral load. …”
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Pt-doped armchair graphene nanoribbon as a promising gas sensor for CO and CO₂: DFT study by Ehab Salih (17075206)

“…After doping, the results revealed a significant increase in the adsorption energy to almost 9 times than the non-doped systems for the cases of CO on Pt–N-AGNR as well as CO₂ on both Pt–H-AGNR and Pt–N-AGNR. …”

Methane production enhancement from Tetraselmis biomass co-digestion using frying oil residue as co-substrate and ultrasonication as pretreatment by Firas, Feki

“…Tetraselmis sp. microalgae biomass co-digestion with frying oil residue was investigated without or with an ultrasonication pretreatment to enhance methane production. …”
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CO, CO₂, and SO₂ detection based on functionalized graphene nanoribbons: First principles study by Ehab Salih (17075206)

“…After modification, the adsorption energy increased remarkably to −0.538 and −0.767 eV for the cases of AGNR-O-OH-CO₂ and AGNR-O-OH-SO₂, respectively. …”

Curcumin encapsulated colloidal amphiphilic block co-polymeric nanocapsules by Bechnak, Linda

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Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

“…Results The method of measuring reflectivity is good to excellent reliability for all regions of interest except the fourth. The mean reflectivity of the choriocapillaris and Sattler’s layer in amblyopic eyes were significantly lower than in healthy eyes (p = 0.003 and p = 0.008 respectively). …”
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ROS-Mediated Autophagic Death in Glioblastoma Cells Upon Treatment by Human Recombinant Arginase I (Co)- PEG5000 [HuArgI (Co)-PEG5000] by Abdel Khalek, Maya

“…Our results first showed a significant increase in HuArgI (Co)-PEG5000 treated cells for both U251 and A172 in autophagosome formation; suggesting activation of autophagy in response to arginine deprivation. …”
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Evidence and gaps in clinical outcomes of novel pharmacologic therapies for sickle cell disease: A systematic literature review highlighting insights from clinical trials and real-... by Mohamed Yassin (4166515)

“…The high discontinuation rate and results of the STAND trial led to a significant decrease in the use of crizanlizumab. The HOPE trial demonstrated a 51 % improvement in hemoglobin response and a reduction in hemolytic markers in patients treated with voxelotor. …”

The Effect of HuArgI (Co)-PEG5000 on The Migration of Ovarian Cancer by El Mais, Nour

“…It showed that SKOV3 cell line does not show significant invasiveness to collagen. In conclusion, we noticed an effect on ovarian cancer by treating the cells with HuArgI (Co)-PEG5000 which opens the way for further studies on the effect of arginine deprivation and autophagy induction on the migration of ovarian cancer.…”
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Influence of co-current vapor flow on falling film over horizontal tube by Furqan Tahir (14429547)

“…Afterwards, the impact of co-current vapor flow on film distribution, wetting time, minimum thickness and its location are quantified and examined by increasing the vapor velocity up to 6 m/s with 2 m/s intervals. …”

Decoding the Therapeutic Potential of [HuArgI (Co)-PEG5000] Arginase Treatment by Zeineddine, Mira

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Challenges and practices identification in complex outsourcing relationships: A systematic literature review by Ghulam Murtaza Khan (12024573)

Effects of information and communication technology on total-factor carbon emission efficiency and the health co-benefits by Jingying Linghu (22337614)

“…The results suggest that ICT significantly and positively impacts the TFCEE. Specifically, for every 10 per cent increase in the internet development index, the TFCEE increases by 0.11 per cent. …”

System dynamics modeling for mitigating energy use and CO2 emissions of freight transport in Lebanon by Haddad, Marc

“…Previous studies showed that significant reductions in energy use and emissions can be achieved from combining mitigation strategies that improve engine technology for cars and increase the use of public transport. …”
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Theoretical insight into effect of cation–anion pairs on CO₂ reduction on bismuth electrocatalysts by Sun Hee Yoon (7179263)

“…<p dir="ltr">This study presents theoretical insight into the mechanism of the CO₂ reduction reaction (CO₂RR) to formic acid (HCOOH) on Bi (0 1 2) surfaces in the presence of alkali metal cations (M⁺: Cs⁺, K⁺, and Li⁺) and/or halide anions (X⁻: Cl⁻, Br⁻, and I⁻) using density functional theory (DFT). …”

Upgrading co-pyrolysis products from ternary biomass: An investigative study of commercial and locally-made catalysts by Sabah Mariyam (14150859)

“…The influence of catalysts extends to gas composition, with Ca(OH)₂ and zeolite notably increasing CH₄ and CO₂ concentrations at 750 °C. …”

Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO₂ enrichment by Ikhlas Ghiat (16932564)

“…The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …”