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2023
Arab, H. H., A. H. Eid, S. E. Alsufyani, A. M. Ashour, A. A. K. El-Sheikh, H. W. Darwish, and G. S. Georgy, "Neuroprotective impact of linagliptin against cadmium-induced cognitive impairment and neuropathological aberrations: targeting SIRT1/Nrf2 axis, apoptosis, and autophagy", Pharmaceuticals, vol. 16, no. 8: MDPI, pp. 1065, 2023. AbstractFile download

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Elmazny, A., R. Magdy, M. Hussein, E. H. Elsebaie, S. H. Ali, A. M. Abdel Fattah, M. Hassan, A. Yassin, N. A. Mahfouz, R. M. Elsayed, et al., "Neuropsychiatric post-acute sequelae of COVID-19: prevalence, severity, and impact of vaccination.", European archives of psychiatry and clinical neuroscience, vol. 273, issue 6, pp. 1349-1358, 2023. Abstractneuropsychiatric_post-acute_sequelae_of_covid-19_prevalence.pdf

The potential long-term neuropsychiatric effects of COVID-19 are of global concern. This study aimed to determine the prevalence and predictors of neuropsychiatric post-acute sequelae of COVID-19 among Egyptian COVID-19 survivors and to study the impact of full vaccination before COVID-19 infection on the occurrence and severity of these manifestations. Three months after getting COVID-19 infection, 1638 COVID-19 survivors were screened by phone for possible neuropsychiatric sequelae. Subjects suspected to suffer from these sequelae were invited to a face-to-face interview for objective evaluation. They were requested to rate the severity of their symptoms using visual analogue scales (VAS). The mean age of participants was 38.28 ± 13 years. Only 18.6% were fully vaccinated before COVID-19 infection. Neuropsychiatric post-acute sequelae of COVID-19 were documented in 598 (36.5%) subjects, fatigue was the most frequent one (24.6%), followed by insomnia (16.4%), depression (15.3%), and anxiety (14.4%). Moderate and severe COVID-19 infection and non-vaccination increased the odds of developing post-COVID-19 neuropsychiatric manifestations by 2 times (OR 1.95, 95% CI = 1.415-2.683), 3.86 times (OR 3.86, 95% CI = 2.358-6.329), and 1.67 times (OR 1.67, 95% CI = 1.253-2.216), respectively. Fully vaccinated subjects before COVID-19 infection (n = 304) had significantly lesser severity of post-COVID-19 fatigue, ageusia/hypogeusia, dizziness, tinnitus, and insomnia (P value = 0.001, 0.008, < 0.001, 0.025, and 0.005, respectively) than non-vaccinated subjects. This report declared neuropsychiatric sequelae in 36.5% of Egyptian COVID-19 survivors, fatigue being the most prevalent. The effectiveness of COVID-19 vaccines in reducing the severity of some post-COVID-19 neuropsychiatric manifestations may improve general vaccine acceptance.

Omar, M. A., R. E. Hawary, A. Eldash, K. M. Sadek, N. A. Soliman, M. O. F. Hanna, and S. M. Shawky, "Neutrophilic Myeloid-Derived Suppressor Cells and Severity in SARS-CoV-2 Infection.", Laboratory medicine, 2023. Abstract

BACKGROUND: While we strive to live with SARS-CoV-2, defining the immune response that leads to recovery rather than severe disease remains highly important. COVID-19 has been associated with inflammation and a profoundly suppressed immune response.

OBJECTIVE: To study myeloid-derived suppressor cells (MDSCs), which are potent immunosuppressive cells, in SARS-CoV-2 infection.

RESULTS: Patients with severe and critical COVID-19 showed higher frequencies of neutrophilic (PMN)-MDSCs than patients with moderate illness and control individuals (P = .005). Severe disease in individuals older and younger than 60 years was associated with distinct PMN-MDSC frequencies, being predominantly higher in patients of 60 years of age and younger (P = .004). However, both age groups showed comparable inflammatory markers. In our analysis for the prediction of poor outcome during hospitalization, MDSCs were not associated with increased risk of death. Still, patients older than 60 years of age (odds ratio [OR] = 5.625; P = .02) with preexisting medical conditions (OR = 2.818; P = .003) showed more severe disease and worse outcome. Among the immunological parameters, increased C-reactive protein (OR = 1.015; P = .04) and lymphopenia (OR = 5.958; P = .04) strongly identified patients with poor prognosis.

CONCLUSION: PMN-MDSCs are associated with disease severity in COVID-19; however, MDSC levels do not predict increased risk of death during hospitalization.

Sallam, K. M., and A. W. Mohamed, "Neutrosophic MCDM methodology for evaluation onshore wind for electricity generation and sustainability ecological", Neutrosophic Systems with Applications, vol. 4, pp. 53-61, 2023. Abstract
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Awaad, S. S., M. O. Sarhan, W. R. Mahmoud, T. Nasr, R. F. George, and H. H. Georgey, "New 2-aminobenzothiazole derivatives: Design, synthesis, anti-inflammatory and ulcerogenicity evaluation", Journal of Molecular Structure, vol. 1291, pp. 136042, 2023.
Awaad, S. S., M. O. Sarhan, W. R. Mahmoud, T. Nasr, R. F. George, and H. H. Georgey, "New 2-aminobenzothiazole derivatives: Design, synthesis, anti-inflammatory and ulcerogenicity evaluation", Journal of Molecular Structure, vol. 1291, pp. 136042, 2023. 36-_jms_sara_2023.pdf
Qureshi, S., M. A. Akanbi, A. A. Shaikh, A. S. Wusu, O. M. Ogunlaran, W. Mahmoud, and M. S. Osman, "A new adaptive nonlinear numerical method for singular and stiff differential problems", Alexandria Engineering Journal, vol. 74, pp. 585-597, 2023.
Eissa, I. H., R. G. Yousef, H. Elkady, A. A. Alsfouk, B. A. Alsfouk, D. Z. Husein, I. M. Ibrahim, E. B. Elkaeed, and A. M. Metwaly, "A new anticancer semisynthetic theobromine derivative targeting EGFR protein: CADDD study", Life, vol. 13, no. 1: MDPI, pp. 191, 2023. Abstract
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Elwahsh, H., T. Medhat, A, A. A. Abd El-Aziz, M. Mahmood A., M. Alsabaan, and E. El-shafeiy, "A New Approach for Cancer Prediction based on Deep Neural Learning", Journal of King Saud University - Computer and Information Sciences, vol. 35, no. 6, pp. 101565, 2023. Abstract
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, "A New Approach for Cancer Prediction based on Deep Neural Learning", Journal of King Saud University - Computer and Information Sciences, vol. 35, no. 6, pp. 101565, 2023. Abstract
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Elwahsh, H., T. Medhat, A, A. A. Abd El-Aziz, M. Mahmood A., M. Alsabaan, and E. El-shafeiy, "A New Approach for Cancer Prediction based on Deep Neural Learning", Journal of King Saud University - Computer and Information Sciences, vol. 35, no. 6, pp. 101565, 2023. Abstract
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Elwahsh, H., T. Medhat, A, A. A. Abd El-Aziz, M. Mahmood A., M. Alsabaan, and E. El-shafeiy, "A New Approach for Cancer Prediction based on Deep Neural Learning", Journal of King Saud University - Computer and Information Sciences, vol. 35, no. 6, pp. 101565, 2023. Abstract
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Elwahsh, H., T. Medhat, A, A. A. Abd El-Aziz, M. Mahmood A., M. Alsabaan, and E. El-shafeiy, "A New Approach for Cancer Prediction based on Deep Neural Learning", Journal of King Saud University - Computer and Information Sciences, vol. 35, no. 6, pp. 101565, 2023. Abstract
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Elwahsh, H., T. Medhat, A, A. A. Abd El-Aziz, M. Mahmood A., M. Alsabaan, and E. El-shafeiy, "A New Approach for Cancer Prediction based on Deep Neural Learning", Journal of King Saud University - Computer and Information Sciences, vol. 35, no. 6, pp. 101565, 2023. Abstract
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Elwahsh, H., T. Medhat, A, A. A. Abd El-Aziz, M. Mahmood A., M. Alsabaan, and E. El-shafeiy, "A New Approach for Cancer Prediction based on Deep Neural Learning", Journal of King Saud University - Computer and Information Sciences, vol. 35, no. 6, pp. 101565, 2023. Abstract
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Elwahsh, H., T. Medhat, A, A. A. Abd El-Aziz, M. Mahmood A., M. Alsabaan, and E. El-shafeiy, "A New Approach for Cancer Prediction based on Deep Neural Learning", Journal of King Saud University - Computer and Information Sciences, vol. 35, no. 6, pp. 101565, 2023. Abstract
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Elwahsh, H., T. Medhat, A, A. A. Abd El-Aziz, M. Mahmood A., M. Alsabaan, and E. El-shafeiy, "A New Approach for Cancer Prediction based on Deep Neural Learning", Journal of King Saud University - Computer and Information Sciences, vol. 35, no. 6, pp. 101565, 2023. Abstract
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Elwahsh, H., T. Medhat, A, A. A. Abd El-Aziz, M. Mahmood A., M. Alsabaan, and E. El-shafeiy, "A New Approach for Cancer Prediction based on Deep Neural Learning", Journal of King Saud University - Computer and Information Sciences, vol. 35, no. 6, pp. 101565, 2023. Abstract
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Elwahsh, H., T. Medhat, A, A. A. Abd El-Aziz, M. Mahmood A., M. Alsabaan, and E. El-shafeiy, "A New Approach for Cancer Prediction based on Deep Neural Learning", Journal of King Saud University - Computer and Information Sciences, vol. 35, no. 6, pp. 101565, 2023. Abstract
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Elwahsh, H., T. Medhat, A, A. A. Abd El-Aziz, M. Mahmood A., M. Alsabaan, and E. El-shafeiy, "A New Approach for Cancer Prediction based on Deep Neural Learning", Journal of King Saud University - Computer and Information Sciences, vol. 35, no. 6, pp. 101565, 2023. Abstract
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Abdallah, Z. A., S. M. H. Sanad, A. E. M. Mekky, and M. M. S. Ahmed, "New Arylazo-Based (Chromene-Thiazole) Hybrids as Potential MRSA Inhibitors", Chemistry and Biodiversity, vol. 20, no. 4, 2023. AbstractWebsite
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Abdallah, Z. A., S. M. H. Sanad, A. E. M. Mekky, and M. M. S. Ahmed, "New arylazo-based (chromene-thiazole) hybrids as potential MRSA inhibitors", Chem. Biodiversity , vol. 20, issue 4, pp. e202300206, 2023. 23-11.pdf
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