Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference system

A falling weight deflectometer is a testing device used in civil engineering to measure and evaluate the physical properties of pavements,such as the modulus of the subgrade reaction(Y1)and the elastic modulus of the slab(Y2),which are crucial for assessing the structural strength of pavements.In this study,we developed a novel hybrid artificial intelligence model,i.e.,a genetic algorithm(GA)-optimized adaptive neuro-fuzzy inference system(ANFIS-GA),to predict Y1 and Y2 based on easily determined 13 parameters of rigid pavements.The performance of the novel ANFIS-GA model was compared to that of other benchmark models,namely logistic regression(LR)and radial basis function regression(RBFR)algorithms.These models were validated using standard statistical measures,namely,the coefficient of correlation(R),mean absolute error(MAE),and root mean square error(RMSE).The results indicated that the ANFIS-GA model was the best at predicting Y1(R=0.945)and Y2(R=0.887)compared to the LR and RBFR models.Therefore,the ANFIS-GA model can be used to accurately predict Y1 and Y2 based on easily measured parameters for the appropriate and rapid assessment of the quality and strength of pavements.

Occupational,physical,sexual and mental health and violence among migrant and trafficked commercial fishers and seafarers from the Greater Mekong Subregion(GMS):systematic review

Background:Little is known about the health of GMS commercial fishers and seafarers,many of whom are migrants and some trafficked.This systematic review summarizes evidence on occupational,physical,sexual and mental health and violence among GMS commercial fishers/seafarers.Methods:We searched 5 electronic databases and purposively searched grey literature.Quantitative or qualitative studies reporting prevalence or risk of relevant outcomes were included.Two reviewers independently screened articles.Data were extracted on nationality and long/short-haul fishing where available.Results:We identified 33 eligible papers from 27 studies.Trafficked fishers/seafarers were included in n=12/13 grey literature and n=1/20 peer-reviewed papers.Among peer-reviewed papers:11 focused on HIV/AIDS/sexual health;nine on occupational/physical health;one study included mental health of trafficked fishers.Violence was quantitatively measured in eight papers with prevalence of:11-26%in port convenience samples;68-100%in post-trafficking service samples.Commercial fishers/seafarers whether trafficked or not worked extremely long hours;trafficked long-haul fishers had very limited access to care following injuries or illness.Lesser-known risks reported among fishers included penile oil injections and beriberi.We found just one work safety intervention study and inconclusive evidence for differences in the outcomes by nationality.Findings are limited by methodological weaknesses of primary studies.Conclusion:Results show an absence of high-quality epidemiological studies beyond sexual health.Formative and pilot intervention research on occupational,physical and mental health among GMS commercial fishers and seafarers is needed.Future studies should include questions about violence and exploitation.Ethical and reporting standards of grey literature should be improved.