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salem salem

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salem salem’s Biography

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<p><strong>Hướng dẫn c&aacute;ch soi cầu xổ số miền Nam quanh năm si&ecirc;u chuẩn</strong></p>
<p></p>
<p><strong>Để tham gia dự đo&aacute;n thần t&agrave;i mn hiệu quả nhất, người chơi n&ecirc;n tham khảo những lời khuy&ecirc;n v&agrave; kinh nghiệm từ c&aacute;c chuy&ecirc;n gia soicaumiennam chia sẻ. Để c&oacute; được những th&ocirc;ng tin cụ thể về soi cầu dự đo&aacute;n xổ số miền Nam, h&atilde;y c&ugrave;ng ch&uacute;ng t&ocirc;i theo d&otilde;i b&agrave;i viết dưới đ&acirc;y nh&eacute;.…

Articles

Preparation and evaluation of high-performance modified poly(ester-amide), and study its biological activity after its formulated as a vehicle for protective coating

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By Hamada Abd El-Wahab, Mahmoud M. Fayad, salem salem, Ammar Mahmoud, Mahmoud H. Hendy
| Nature Verified
Abstract Poly(ester-amide) (PEA) resins are widely used in coating applications because of their excellent mechanical strength, chemical resistance, and durability; however, the development of PEA coatings with enhanced antimicrobial performance remains a significant challenge. In this study, a novel modified PEA resin was synthesized using 3-N-bis(2-hydroxyethyl)-7-hydroxy coumarin carboxamide (HEHCCA) as a reactive modifier.
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Author Correction: Foliar application of green-synthesized Cu–Zn nanocomposites: improve physiological responses, isozymes activity, and photosynthetic traits in lead-stressed pea ( Pisum sativum L.) plants

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By Mahmoud Osman, salem salem, Amr H. Hashem, Eman G. El-Hosary, Hossam M. Fouda, Sahar I. ELshennawy, Eman N. Mustafa
| Nature Verified
Correction to: Scientific Reports https://doi.org/10.1038/s41598-026-43558-w, published online 26 March 2026 The original version of this Article contained an error in the ‘Author contributions’ section. As a result, where: “M.S.O., S.S.S., H.M.F., A.H.H.: Writing – original draft, Methodology, Conceptualization. Ebrahim Saied: Methodology, Formal analysis, Writing – original draft.
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Land use land cover classification in Japanese wetland and agricultural landscapes via machine learning and multi-source sentinel data

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By Kazuo Oki, Timothy Dube, salem salem, Santa Pandit
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT This study assessed land use and land cover (LULC) in the Oze wetland and Hatase agricultural fields using Random Forest (RF) and Support Vector Machine (SVM).
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