Ergonomic evaluation of subjects involved in orange (Citrus sinensis) handling operations in Yanlemo Market Kano State

Ergonomic evaluation of subjects involved in orange handling operation in Kano State was conducted. Anthropometric parameters were evaluated, where they were found to vary with age amongst the subjects selected. 20th and 80th percentiles of the dimensions were computed and recommended for usage in design of the relevant orange handling equipment. To evaluate the Physiological parameters, sorting/grading operations and washing operations were selected for this study. Results obtained revealed that, heart beat rate, oxygen consumption and energy expenditure varied amongst the subjects with age. Muscular stress and postural disorder were also studied. Comparing the parameters obtained during sorting/grading operation and that obtained during washing operations revealed that orange operations resulted to superior drudgery and musculoskeletal disorders.Keywords: Anthropometrics, Energy expenditure, Drudgery, Operations and Musculoskeletal disorde

Assessment of Orange (Citrus Sinensis) Supply Chain Activities in Kano State

The study focused on the handling system of orange in Yanlemo Market of Kano State. A field study was conducted with structural questionnaires that targeted the orange supplies, traders and agricultural equipment suppliers/fabricators. Result obtained reveals that the orange handling activity is dominated by male traders. Average of 2 to 5 bags of oranges are usually handled by about 53.3% of the respondents, while 8.3% handle more than 10 bags of the oranges daily. Dan Tivi was found to be the commonest orange variety in the study area. Some other varieties established in the study area are; Dan Nassarawa, Dan Ondo and Dan Delta representing about 8.3, 1.7 and 1.7% of the varieties handled in the study area respectively. The mode of transportation, sorting, and washing was found to be manual with a lot of challenges. The predominant manual handling of the orange established in the study area could be amongst the major reasons for the high losses usually recorded by the traders on a daily basis. Thus, useful suggestions that could be employed by researchers and policymakers to provide improvements in the supply chain activities to prevent such losses are presented.  Keywords— Orange, Assessment, Supply Chain, Handlin

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Not AvailableThis study was conducted to understand the behaviour of ten rice genotypes for different water deficit stress levels. The spectroscopic hyperspectral reflectance data in the range of 350–2500 nm was recorded and relative water content (RWC) of plants was measured at different stress levels. The optimal wavebands were identified through spectral indices, multivariate techniques and neural network technique, and prediction models were developed. The new water sensitive spectral indices were developed and existing water band spectral indices were also evaluated with respect to RWC. These indices based models were efficient in predicting RWC with R2 values ranging from 0.73 to 0.94. The contour plotting using the ratio spectral indices (RSI) and normalized difference spectral indices (NDSI) was done in all possible combinations within 350–2500 nm and their correlations with RWC were quantified to identify the best index. Spectral reflectance data was also used to develop partial least squares regression (PLSR) followed by multiple linear regression (MLR) and Artificial Neural Networks (ANN), support vector machine regression (SVR) and random forest (RF) models to calculate plant RWC. Among these multivariate models, PLSR-MLR was found to be the best model for prediction of RWC with R2 as 0.98 and 0.97 for calibration and validation respectively and Root mean square error of prediction (RMSEP) as 5.06. The results indicate that PLSR is a robust technique for identification of water deficit stress in the crop. Although the PLSR is robust technique, if PLSR extracted optimum wavebands are fed into MLR, the results are found to be improved significantly. The ANN model was developed with all spectral reflectance bands. The 43 developed model didn’t produce satisfactory results. Therefore, the model was developed 44 with PLSR selected optimum wavebands as independent x variables and PLSR-ANN model 45 was found better than the ANN model alone. The study successfully conducts a comparative 46 analysis among various modelling approaches to quantify water deficit stress. The methodology developed would help to identify water deficit stress more accurately by predicting RWC in the crops.Not Availabl

The Jewish Issue in Islamic Radicalism: historicity, impact and evolutions

This article focuses on the long‐term ideological vision of Jews and Israel in radical Islam. By examining, on the one hand, the animosity towards Judeo‐Israelis in the spawning and bolstering of Islamist, Salafist and Jihadist movements, and on the other hand, the sociological composition of Jihadist elites related to the Israeli‐Palestinian conflict, I show the centrality of the Judeophobic discourse in the world of radical Islam as well as the importance of Israel in its reinforcement. By trying to historicize this discourse, as well as political and strategic movements linked with the State of Israel, I also question the nature of the hostility towards Judaism, and more specifically the role of the Israeli issue in the development and evolution of the most radical and violent forms of Muslim identity over nearly a century