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Accurately detecting human trafficking is particularly challenging due to its covert nature, difficulty in distinguishing trafficking from non-trafficking exploitative conditions, and varying operational definitions. Typically, detecting human trafficking requires resource-intensive efforts from resource-constrained anti-trafficking stakeholders. Such measures may need personnel training or machine learning-based identification technologies that suffer from detection errors. Repeated usage of such measures risks biasing detection efforts and reducing detection effectiveness. Such problems raise the question: "How should imperfect detection resources be allocated to most effectively identify human trafficking?" As an answer, we construct a class of resource allocation models that considers various optimal allocation scenarios. These scenarios range from optimal location selection for monitoring to optimal allocation of a finite set of imperfect resources, given error rates. We illustrate the applicability of these models across both human and technology-facilitated detection contexts at the India–Nepal border and in the global seafood industry. Insights from our models help inform operational strategies for allocating limited anti-human trafficking resources in a way that effectively preserves human rights and dignity. [ABSTRACT FROM AUTHOR]

Zinc oxide nanoparticle (ZnO NP) is an emerging soil pollutant of industrial origin. The unique physicochemical properties of ZnO NP viz. the bioavailability and subsequent ecotoxicological effects on organisms have made it an ecological concern. Lampito mauritii (Kinberg, 1866) is a common anecic earthworm and is considered as a keystone species of soil ecosystems in India. They are continuously exposed to various environmental toxins during their feeding and other activities. The current study aimed to estimate the immunotoxicological effects of ZnO NP in the coelomocytes, the chief immunoeffector cells of L. mauritii. The results of the study indicated decreased total count, phagocytic activity, antioxidative, and detoxifying potential of the coelomocytes in L. mauritii at 7 and 14 days of exposure. ZnO NP exposure resulted in the generation of oxidative molecules, lipid peroxidation, and DNA damage within coelomocytes. The higher degree of cytotoxicity on ZnO NP exposure was suggestive of immunocompromisation in L. mauritii. An integrated biomarker response (IBR) guided methodology was also utilized in estimating the comprehensive effects of ZnO NP on the health of L. mauritii. The present study would provide useful information on the ZnO NP induced chemical stress in L. mauritii , with the selected endpoints having the potential to function as markers for ZnO NP toxicity. [Display omitted] • ZnO NP shifted density, oxidative and detoxifying status of coelomocytes. • High ROS generation, lipid peroxidation and DNA damage by ZnO NP • ZnO NP inhibited phagocytosis of latex beads. • IBR index indicated higher ZnO NP toxicity in long span exposure. [ABSTRACT FROM AUTHOR]

Waterbodies of India support a wide range of molluscs including Lamellidens marginalis , a pearl forming edible mussel of ecological significance. Report of copper oxide nanoparticle toxicity in Indian molluscs is limited in scientific literature. L. marginalis is a gill respiring filter feeder, which is toxicologically vulnerable to exposure of copper oxide nanoparticles liberated from electrical, textile and polymer industries. Experimental exposure of copper oxide nanoparticles for 7 days yielded a decrease in gill filtration rate, respiration rate, total count and phagocytic response of hemocytes, the chief immunoeffector cells of L. marginalis. Nanoparticle exposure resulted in decrease of phagocytic response of mussel hemocytes. Decrease in nitric oxide generation and phenoloxidase activity were recorded in L. marginalis exposed to 0.5, 1 and 5 mg copper oxide nanoparticles per litre of water for 7 and 14 days. Superoxide anion generation in hemocytes was increased under the exposure of copper oxide nanoparticles. Increase in superoxide anion and decrease in the activities of superoxide dismutase and catalase were indicative to oxidative stress in mussels. Copper oxide nanoparticle induced shift in filtration and respiration rate along with the hemocyte associated immune parameters were suggestive to an acute immunophysiological stress in L. marginalis. We estimated the functional performance of gill and physiological status of aquatic respiration in L. marginalis exposed to copper oxide nanoparticles. A parallel set of estimation of each parameter was carried out in L. marginalis exposed to identical copper sulphate concentrations to record and compare the ionic toxicity of copper in the same specimen. Unlabelled Image • Exposure of 0.5, 1, and 5 mg/L of CuONP/7 d yielded decrease in mussel hemocyte count. • CuONP declined filtration rate, respiration rate, phagocytosis, NO and PO activity. • Mussel exposed to CuONP for 7 and 14 d exhibited increased level of superoxide anion. • CuONP induced decrease in superoxide dismutase and catalase activity in hemocytes. • CuONP and copper sulphate exposure caused increase in activities of phosphatases. [ABSTRACT FROM AUTHOR]