IOSR-JESTFT   Volume-19 ~ Issue-11 ~ November 2025

Abstract: Background : The forest of Banco National Park is fully part of this dynamic of biodiversity conservation and regulation of ecological balances, as a replica of dense humid forest in the heart of an urban environmen. This study explores the floristic and structural aspects of the swamp forest of Banco Forest, with the aim of assessing its conservation. Materials and.......

Keywords: Floristic, Structural, Swampy, Degradation, Anthropogenic

[1]. Fao.2001. State Of The World’s Forests 2001. Rome : Organisation Des Nations Unies Pour L’alimentation Et L’agriculture.
[2]. Whitmore Tc, Sayer Ja. 1992. Tropical Deforestation And Species Extinction. Chapman & Hall, London, 149p.
[3]. Aké Assi L. 2001. Flore De La Côte D’ivoire : Catalogue Systématique, Biogéographie Et Ecologie (Tome 1). Genève : Conservatoire Et Jardin Botaniques.
[4]. Adou Yao Cy, N’guessan Ke. 2005.Diversité Botanique Dans Le Sud Du Parc National De Taï, Côte D’ivoire. Afrique Science 01 (2), 295 – 313. Https:// Doi: 10.4314/Afsci.V1i2.61129
[5]. Kouamé Nfg. 1998. Influence De L’exploitation Forestière Sur La Végétation Et La Flore De La Forêt Classée Du Haut Sassandra (Centre Ouest De La Côte D’ivoire). Thèse De 3 Eme Cycle, Université De Cocody, Abidjan. 227 P.

Abstract: Background: Green synthesis methods utilizing plant extracts offer a sustainable approach to producing silver and iron nanoparticles with diverse applications. This study aimed to synthesize silver (PESNPs) and magnetic (PEMNPs) nanoparticles using Carica papaya seed extracts and comprehensively characterize them to elucidate their properties and potential applications. Materials and Methods: Silver and magnetic nanoparticles biosynthesized using Carica papaya seed extracts as a bio-reducing agent were characterized using UV-Vis spectroscopy, FTIR, XRD, SEM, TEM, EDX, and TGA. UV-Vis......

Keywords: Nanoparticles, Biosynthesis, Carica papaya, Bio-flocculation, Antibacterial activity

[1]. Agustina TE, Handayani W, Imawan C. The UV-Vis Spectrum Analysis From Silver Nanoparticles Synthesized Using Diospyros Maritima Blume Leaves Extract. Advances In Biological Sciences Research. 2021;14:411-419.
[2]. Adebayo-Tayo B, Salaam A, Ajibade A. Green Synthesis Of Silver Nanoparticle Using Oscillatoria Sp. Extract, Its Antibacterial, Antibiofilm Potential And Cytotoxicity Activity. Heliyon. 2019;5(10):02502.
[3]. Adebayo-Tayo BC, Adeleke RO, Adekanmbi AO. Biogenic Silver And Magnetic Nanoparticles Using Bacillus Subtilis B2 Bioflocculants; Production, Properties And Antibacterial Potential In Dairy Wastewater Treatment. Chemistry Africa. 2022;5(5):1547-1561.
[4]. Adekanmbi A, Adejoba AT, Banjo OA, Saki M. Detection Of Sul1 And Sul2 Genes In Sulfonamide-Resistant Bacteria (SRB) From Sewage, Aquaculture Sources, Animal Wastes And Hospital Wastewater In South-West Nigeria. Gene Reports. 2020;20:100742-100747.
[5]. Ahmmad B, Leonard K, Islam MS, Kurawaki J, Muruganandham M, Ohkubo T, Kuroda Y. Green Synthesis Of Mesoporous Hematite (Α-Fe2O3) Nanoparticles And Their Photocatalytic Activity. Advanced Powder Technology. 2013;24(1):160-167..

Abstract: Heavy metal (HM) contamination in poultry meat poses significant public health challenges due to bioaccumulation in edible tissues. This review synthesizes findings from studies assessing the presence of Pb, Co, Mn, Fe, and Cu in broiler (BC) and domestic chickens (DC), emphasizing data from Quetta, Bangladesh. Atomic Absorption Spectroscopy (AAS) results demonstrated that Pb levels exceeded permissible WHO and EU limits (0.2 mg/L and 0.1 mg/L, respectively), while Cu, Mn, Co, and Fe were within acceptable ranges. The comparative tissue analysis revealed organ-dependent variation, with BC exhibiting higher Pb concentrations and DC higher Fe levels. Data.......

Keywords: Heavy metals, broiler chicken, domestic chicken, AAS, feed contamination, food safety

[1]. Akinyele, I. O., & Shokunbi, O. S. (2015). Comparative Analysis Of Dry Ashing And Wet Digestion Methods For Determination Of Trace And Heavy Metals In Food Samples. Food Chemistry, 173, 682–684.
[2]. Alagawany, M., Elnesr, S. S., & Farag, M. R. (2021). Nutritional Significance Of Amino Acids, Vitamins And Minerals As Nutraceuticals In Poultry Production And Health. Veterinary Quarterly, 41(1), 1–29.
[3]. Ersoy, İ. E., Uzatıcı, A., & Bilgücü, E. (2020). Possible Heavy Metal Residues In Poultry And Their Products Near Cement Industry. J Anim Behav Biometeorol, 3(2), 63–68.
[4]. FAO/WHO. (2000). Codex Alimentarius Commission: Food Additives And Contaminants Report. Beijing: FAO/WHO.
[5]. Ghimpeţeanu, O. M., Das, K., & Militaru, M. (2012). Assessment Of Heavy Metals In Poultry Liver Using ICP-MS. Bulletin UASVM Cluj-Napoca, 69(1–2).

Abstract: Ethical procurement has increasingly become a strategic necessity for public sector organizations globally. As governments seek to ensure accountability, transparency, and social responsibility in public spending, the connection between procurement practices and occupational health and safety (OHS) outcomes has gained scholarly and policy.......

Keywords: Ethical procurement, occupational health and safety, public sector, transparency, risk management, sustainability.

[1]. Adeyemi, T., & Adebayo, A. (2021). Public Procurement Ethics And Workplace Safety In Nigerian Construction Industry. Journal Of Management And Development Studies, 15(2), 45–62.
[2]. Ambe, I. M. (2019). Public Procurement Practices And Challenges In Africa: A Review. Journal Of Supply Chain Management, 10(3), 15–27.
[3]. Ambe, I. M., & Badenhorst-Weiss, J. A. (2012). Procurement Challenges In The South African Public Sector. Journal Of Transport And Supply Chain Management, 6(1), 242–261.
[4]. Chartered Institute Of Procurement And Supply (CIPS). (2022). Ethical And Sustainable Procurement Guide. CIPS Publication.

Abstract: Background: Open-pit mining contributes significantly to environmental pollution. The aim of this study was to assess the impact of manganese mining on surface water, air quality, and noise pollution. Materials and Methods : A total of 21 samples (water, dust, noise) were taken from the mining site for analysis
of various physical, chemical, and toxicological parameters. Trace metal elements (mercury, manganese, iron, copper, nickel, cadmium) were measured in the water using inductively coupled plasma mass spectrometry (ICP-MS). The.......

Keywords: mining; dust; noise pollution; trace metals, maganese.

[1]. Koffi YB, Ahoussi KE, Kouassi AM And Biemi J. Mines, Oil And Gas In Ivory Coast And The Problem Of Water Resources
Pollution And Flooding Geo-Eco-Trop 2014 ; 38 (1) : 119-136[2]. Tohouri P, Soro G, Ahoussi KE, Adja MG. Ake GE, Biemi J. Pollution By Trace Metals Of The Surface Water Of Bonoua Area In
High Water Time (Southeast Of Côte d'Ivoire) Larhyss Journal 2017 ; 29 : 23-43
[3]. Adepo AJB, Manda P, Akouaba BE. Quality Of Drinking Water In An Area With High Gold Panning Activity In Côte d'Ivoire
(Daloa, Centre-West). IOSR Journal Of Environmental Science, Toxicology And Food Technology 2024 ; 18 (9) : 34-39 .
Https://Dx.Doi.Org/10.9790/2402-1809023439
[4]. ILO (International Labor Office). Safety And Health In Open-Pit Mining. ILO Code Of Practice. International Labor Office,
Geneva, 2018.
Https://Www.Ilo.Org/Sites/Default/Files/Wcmsp5/Groups/Public/@Ed_Dialogue/@Sector/Documents/Normativeinstrument/Wcms_617124
.Pdf
[5]. Rorat A, Lanier C, Cuny D, Deram A, Canivet L (2020). Exposure To Atmospheric Particles : Link Between Physico-Chemical
Characterization And Impact On Health. Record, 40 P, N°18-0677/1B

Abstract: Mangrove forests are renewable or flow resources that provide multiple benefits ecological, economic, and social. Ecologically, mangroves serve a wide range of protective functions for both terrestrial and marine ecosystems and act as crucial habitats for various fauna species. As a conservation area, the coastal waters along the Rutong coast possess........

[1]. Arief, A. 2003. Mangrove Forests, Their Functions And Benefits. Kanisius Publishers. Yogyakarta Ezwardi, I. 2009.
[2]. Vegetation Structure And Mangrove Forest Interest In Kuala Buyeun, East Aceh Regency, Nanggroe Aceh Darussalam Province. Thesis (Unpublished). Department Of Forest Resources Conservation And Ecotourism, Faculty Of Forestry, Bogor Agricultural Institute. Bogor. Zaky Et Al (2012).
[3]. Wiharyanto D., & Laga, A. (2010). Study Of Mangrove Forest Management In The Conservation Area Of Mamburungan Village Bogor Agricultural Institute. Bogor. Zaky Et Al (2012).
[4]. Iswandaru, D., Khalil, A. R. A., Kurniawan, B., Pramana, R., Febryano, I. G., Winarno, G. D. 2018. Abundance And Diversity Of Bird Species In The Mangrove Forest Of Mount Balak Mountain. Indonesian Journal Of Conservation, (1): 57-62.
[5]. Minister Of Forestry And Environment Regulation No.P.106/Menklh/Setjen/Kum.1/12/2018 Concerning Protected Plant And Animal Types..

Abstract: The study investigated Microbiologically Influenced Corrosion (MIC) of carbon steel exposed to Marine/Estuarine Sediment (MWSS) in Delta State, employing a combination of physicochemical analysis, corrosion rate assessments, and 16S rRNA gene sequencing (metagenomics). This research established a robust framework linking specific microbial communities to material degradation. Physicochemical characterization of MWSS revealed high salinity and sulphate concentrations conducive to sulphide-related corrosion. The corrosion testing demonstrated.......

Keywords:Biocorrosion, Biofilms, corrosion rates, marine environment, weight loss, metagenomics.

[1] Katkar VA, Gunasekaran G. (2016). Galvanic corrosion of aa6061 with other ship building materials in seawater. Corrosion. 72:(3):400-412.
[2] Gutman, E.M., Bergman, R.M., Levitsky, S.P. (2016). Influence of internal uniform corrosion on stability loss of a thin-walled spherical shell subjected to external pressure. Corrosion Science. In press. DOI: 10.1016/J.CORSCI.2016.04.018
[3] Pasha, A., Ghasemi H.M., Neshati J. (2016). Synergistic erosion-corrosion behavior of X-65 carbon steel at various impingement angles. American Society of Mechanical Engineers. (ASME). Accepted. DOI: 10.1115/1.4033336.
[4] Wei, D.P., Wu, S.F., Huang, Z.W., Ma, S.M., Liao, A.P., Yuan, A.Q. (2011). New synthesis method of the lamellar zinc phosphate and its electrochemical corrosion inhibitions. Advanced Materials Research.;415- 417:1806-1809.
[5] Lakshman, A. S., Delzendehrooy, F., Balasubramaniam, B., Kremer, G., Liao, Y., and Li, B. (2024). Corrosion characterization of engine connecting rods using fringe projection profilometry and unsupervised machine learning. Meas. Sci. Technol. 35:085021. doi: 10.1088/1361-6501/ad4dd1.

Abstract: Maritime oil spills impose substantial economic externalities and environmental costs, particularly in strategic waterways with concentrated petroleum infrastructure. This study examines the application of modern deep learning architectures to automated oil spill detection, with specific emphasis on deployment feasibility in resource-constrained operational environments. We conduct a comparative benchmark analysis of YOLOv8 instance segmentation against classical U-Net semantic segmentation using publicly available annotated aerial imagery........

[1]. ADNOC launches AI program for sustainability: Energy AI [Internet]. 2023 [cited 2024 Jul 1]. Available from: https://www.adnoc.ae/en/news-and-media/newsarchive/2023/energy-ai
[2]. Chen LC, Zhu Y, Papandreou G, Schroff F, Adam H. Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Proceedings of the European Conference on Computer Vision (ECCV). 2018. p. 801–818.
[3]. De Kerf H, Deforche W, Verstockt S. Oil spill segmentation in port environments: A dataset and benchmark. Sci Data. 2024;11:345.
[4]. Deng J, Dong W, Socher R, Li LJ, Li K, Fei-Fei L. ImageNet: A large-scale hierarchical image database. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2009. p. 248–255.
[5]. Jiang Z, Zhang X, Wang Y, Li D. Deep learning methods for oil spill detection: a review. ISPRS J Photogramm Remote Sens. 2022;185:1–15.

Abstract: Solid Waste Management (SWM) at the university and college level is crucial for maintaining the health and safety of students, teachers, and staff, while also enhancing the campus environment and aesthetic appeal. Govt. Brajalal College and Govt. Women's College are two of the most prominent educational institutions in Khulna district, spanning 42 acres and 16.10 acres of land, respectively. Currently, Govt. Brajalal College has 25,356 students, 198 teachers, and 196 staff members, while Govt. Women's College has 10,260 students, 94 teachers, and 65 staff members. Waste bins provided by Khulna City Corporation are placed at various points on the Govt. Brajalal.......

Keywords: Solid Waste Management (SWM), Waste Composition Analysis, Govt. Brajalal College, Govt. Women’s College, Environmental Impacts, Sustainable Waste Practices.

[1]. Ahsan, N., Rahman, S., & Chowdhury, M. (2014). Solid waste management practices in higher education institutions in Bangladesh: A case study. Journal of Environmental Studies, 12(2), 45–56.
[2]. Ahmad, S., Abdullah, N., & Ramli, N. (2016). Assessment of solid waste management practices in Malaysian universities. International Journal of Environmental Research and Public Health, 13(4), 395. https://doi.org/10.3390/ijerph13040395
[3]. Aleluia, J., & Ferrão, P. (2016). Sustainable waste management in educational institutions: Integrating 3R principles. Journal of Cleaner Production, 112, 2035–2046. https://doi.org/10.1016/j.jclepro.2015.06.101
[4]. Alam, M., & Ahmade, S. (2013). Institutional solid waste management practices: Challenges and opportunities. Waste Management & Research, 31(7), 716–724. https://doi.org/10.1177/0734242X13487758
[5]. Alam, M., & Billah, M. (2020). Urban solid waste management in Khulna city: Current status and future strategies. Journal of Urban Planning and Development, 146(3), 04020023. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000587

Abstract: Sonbhadra District, which has been dubbed the "energy capital" of Uttar Pradesh, is experiencing a rapid decline based in air quality as a result of fast urbanization & coal-based industrialization. The study primarily focuses on the pollution sources and thermal power plants (Obra, Anpara) responsible for PM10, SO2, and NOx emissions released through fly ash, to mention dust from mining operations and vehicles as well. It forecasts the patterns till......

Keywords: Urbanization, Air Quality, Thermal Plants, PM2.5, Health Risks

[1]. Central Pollution Control Board. (2023). National ambient air quality status report 2023. https://cpcb.nic.in/NAAQSReport2023.pdf[2].
Census of India. (2011). District census handbook: Sonbhadra. Office of the Registrar General & Census Commissioner. https://censusindia.gov.in/2011census/dchb/0906_PART_B_DCHB_SONBHADRA.pdf
[3]. Gautam, A., & Joardar, S. P. (2005). Fluoride testing and fluorosis mitigation in Sonbhadra. People's Science Institute Report. https://peoplesscienceinstitute.org/research/Draft%20Report%20Sonbhadra.pdf
[4]. NTPC Limited. (2022). Annual report 2021-22: Rihand Super Thermal Power Station. https://ntpc.co.in/sites/default/files/2022-10/NTPC_AR_2021-22.pdf
[5]. Census of India. (2011). Primary census abstract: Sonbhadra district. https://censusindia.gov.in/2011census/district/571-sonbhadra.html

Abstract: Antibiotics can enter the environment through sources such as wastewater, agricultural runoff, and human and animal waste. Especially when present at low concentrations that do not kill bacteria, they can affect bacterial growth and may contribute to the development and spread of antibiotic resistance. This review observes how prolonged exposure to sub-lethal or sub-MIC antibiotic concentrations affects bacterial growth and resistance development....

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4790301/
https://pmc.ncbi.nlm.nih.gov/articles/PMC10768063/
https://www.biorxiv.org/content/10.1101/062414.full.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4226228/
https://www.biorxiv.org/content/10.1101/2025.03.25.645164.full.pdf

Abstract: Biodiversity loss is one of the strongest and most insurmountable causes of biodiversity loss worldwide, and urban expansion is the main cause. Traditional monitoring approaches, such as field surveys, manual GIS mapping, or periodic ecological assessment, are too slow, too expensive and too geographically constrained to be able to respond to the pace of urbanization. In this paper, we present and test an innovative research approach by using convolutional...

Keywords: urban biodiversity, deep learning, convolutional neural networks, satellite remote sensing, species richness prediction, habitat fragmentation, conservation planning, Sentinel-2, GBIF

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