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Two novel benzoylthioureas derived from gallic acid, (tri‐O‐acetyl)galloyl‐N,N‐diethylthiourea HL1, and cinnamic acid, cinnamoyl‐N,N‐diethylthiourea HL2 have been successfully prepared and characterized by means of elemental analysis, IR, NMR, high‐resolution MS, and X‐ray crystallography. The organic ligands react with Ni(AcO)2 and Cu(AcO)2 in MeOH under formation of bis‐complexes with the compositions of [M(L)2] (M=Ni2+, Cu2+; L=L1, L2). Similar reactions with Co(AcO)2, however, result in Co(III) tris‐complexes [Co(L)3] (L=L1, L2) with the metal ions oxidized presumably by atmospheric dioxygen. X‐ray crystallography and spectroscopic characterization reveal a cis square‐planar coordination in the bis‐complexes and facial octahedral geometry in the tris‐complexes. In all of metal complexes, the deprotonated organic compounds ({L1}− and {L2}−) serve as (S,O)‐bidentate ligands. The ligand HL1 and its Ni(II) and Cu(II) complexes exhibit weak antiproliferative effects on the human MCF7 breast and HepG2 liver cancer cells with IC50 values in the range of 60–115 μM. Surprisingly, the tris‐complex [Co(L1)3] exhibits high cytotoxicity with IC50 values of 22.23±1.58 μM for MCF7 and 28.30±3.09 μM for HepG2 cancer cells. The activity against MCF7 cells is even more than that of cisplatin under the same conditions. [ABSTRACT FROM AUTHOR]

The development of mangrove forest environmental services plays a crucial role in human health, economic development, and the security of countries worldwide. This study aims to establish and validate a model for assessing the factors influencing the willingness-to-pay for mangrove forest environmental services. The proposed model comprises four key factors: attitude, subjective norm, perceived behavior control, and environmental knowledge. Data were collected by surveying 235 individuals from various households in Phu Long commune, Vietnam. The Partial Least Squares—Structural Equation Modeling (PLS-SEM) methodology was employed for data analysis. The research findings reveal that perceived behavior control significantly impacted residents' willingness-to-pay, followed by attitude, environmental knowledge, and subjective norms. Furthermore, certain demographic characteristics such as gender and family size mediate the relationship between independent and dependent variables. Based on the obtained results, several policy recommendations are put forward. Plain language summary: This study aims to establish and validate a model for assessing the factors influencing the willingness-to-pay for mangrove forest environmental services. Data were collected by surveying 235 individuals from various households in Phu Long commune, Vietnam. The Partial Least Squares - Structural Equation Modeling (PLS-SEM) methodology was employed for data analysis. The research findings reveal that perceived behavior control significantly impacted residents' willingness-to-pay, followed by attitude, environmental knowledge, and subjective norms. Furthermore, certain demographic characteristics such as gender and family size mediate the relationship between independent and dependent variables. Based on the analysis results, this study proposes several policy recommendations to encourage the willingness of residents in Phu Long commune, Hai Phong, Vietnam, to pay for FESs. Strategies to improve the implementation of forest environmental service payments in Phu Long should emphasize enhancing the community's understanding of the importance of mangrove forests. Information dissemination should encompass knowledge about the benefits (both economic and environmental), the current status, threats, and consequences of mangrove degradation, as well as the global significance of mangrove forests, particularly concerning climate change. Additionally, to increase the effectiveness and garner community support for environmental service payment programs in Phu Long, implementation efforts should promote residents' sense of responsibility, pride, and love for the recognized biodiversity heritage values associated with mangrove forests [ABSTRACT FROM AUTHOR]