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doi 10.3390 su8101037 registering doi 16 october 2016abstract in real practice forecasting under the limited data has attracted more attention in business activities especially in the healthcare traveling industry in its current stage . however there are only a few research studies focusing on this issue . thus the purposes of this ... read more . in real practice forecasting under the limited data has attracted more attention in business activities especially in the healthcare traveling industry in its current stage . however there are only a few research studies focusing on this issue . thus the purposes of this paper were to determine the forecasted performance of several current forecasting methods as well as to examine their applications . taking advantage of the small data requirement for model construction three models including the exponential smoothing model the grey model gm 1 1 and the modified lotka volterra model l.v. were used to conduct forecasting analyses based on the data of foreign patients from 2001 to 2013 in six destinations . the results indicated that the l.v. model had higher prediction power than the other two models and it obtained the best forecasting performance with an 89.7 % precision rate . in conclusion the l.v. model is the best model for estimating the market size of the healthcare traveling industry followed by the gm 1 1 model . the contribution of this study is to offer a useful statistical tool for short term planning which can be applied to the healthcare traveling industry in particular and for other business forecasting under the conditions of limited data in general . full article open accessarticle sustainable and resilient garment supply chain network design with fuzzy multi objectives under uncertaintyby sonia & nbspirshad & nbspmari young & nbsphae & nbsplee and muhammad & nbspsaad & nbspmemonsustainability 2016 8 10 1038 ; doi 10.3390 su8101038 registering doi 16 october 2016abstract researchers and practitioners are taking more interest in developing sustainable garment supply chains in recent times . on the other hand the supply chain manager drops sustainability objectives while coping with unexpected natural and man made disruption risks . hence supply chain managers are now ... read more . researchers and practitioners are taking more interest in developing sustainable garment supply chains in recent times . on the other hand the supply chain manager drops sustainability objectives while coping with unexpected natural and man made disruption risks . hence supply chain managers are now trying to develop sustainable supply chains that are simultaneously resilient enough to cope with disruption risks . owing to the importance of the considered issue this study proposed a network optimization model for a sustainable and resilient supply chain network by considering sustainability via embodied carbon footprints and carbon emissions and resilience by considering resilience index . in this paper initially a possibilistic fuzzy multi objective sustainable and resilient supply chain network model is developed for the garment industry considering economic sustainable and resilience objectives . secondly a possibilistic fuzzy linguistic weight based interactive solution method is proposed . finally a numerical case example is presented to show the applicability of the proposed model and solution methodology . full article open accessfeature paperarticle molecular epidemiology and spatio temporal dynamics of the h3n8 equine influenza virus in south americaby cecilia & nbspolguin & nbspperglione marcelo & nbspd . & nbspgolemba carolina & nbsptorres and maria & nbspbarrandeguypathogens 2016 5 4 61 ; doi 10.3390 pathogens5040061 registering doi 16 october 2016abstract equine influenza virus eiv is considered the most important respiratory pathogen of horses as outbreaks of the disease lead to substantial economic losses . the h3n8 eiv has caused respiratory disease in horses across the world including south american countries . nucleotide and deduced ... read more . equine influenza virus eiv is considered the most important respiratory pathogen of horses as outbreaks of the disease lead to substantial economic losses . the h3n8 eiv has caused respiratory disease in horses across the world including south american countries . nucleotide and deduced amino acid sequences for the complete haemagglutinin gene of the h3n8 eiv detected in south america since 1963 were analyzed . phylogenetic and bayesian coalescent analyses were carried out to study the origin the time of the most recent common ancestors tmrca the demographic and the phylogeographic patterns of the h3n8 eiv . the phylogenetic analysis demonstrated that the h3n8 eiv detected in south america grouped in 5 well supported monophyletic clades each associated with strains of different origins . the tmrca estimated for each group suggested that the virus was circulating in north america at least one year before its effective circulation in the south american population . phylogenetic and coalescent analyses revealed a polyphyletic behavior of the viruses causing the outbreaks in south america between 1963 and 2012 possibly due to the introduction of at least 4 different eivs through the international movement of horses . in addition phylodynamic analysis suggested south america as the starting point of the spread of the h3n8 eiv in 1963 and showed migration links from the united states to south america in the subsequent eiv irruptions . further an increase in the relative genetic diversity was observed between 2006 and 2007 and a subsequent decline since 2009 probably due to the co circulation of different lineages and as a result of the incorporation of the florida clade 2 strain in vaccines respectively . the observed data highlight the importance of epidemiological surveillance and the implementation of appropriate quarantine procedures to prevent outbreaks of the disease . full article open accessarticle retrieval of aerosol optical depth over arid areas from modis databy xin peng & nbsptian and lin & nbspsunatmosphere 2016 7 10 134 ; doi 10.3390 atmos7100134 registering doi 16 october 2016abstract moderate resolution imaging spectroradiometer modis data have been widely applied for the remote sensing of aerosol optical depth aod because the modis sensor features a short revisit period and a moderate spatial resolution . the dense dark vegetation ddv method is the ... read more . moderate resolution imaging spectroradiometer modis data have been widely applied for the remote sensing of aerosol optical depth aod because the modis sensor features a short revisit period and a moderate spatial resolution . the dense dark vegetation ddv method is the most popular retrieval method . however the ddv method can only be used to retrieve the aod with high precision when the surface reflectance in the visible spectrum is low such as over dense vegetation or water . to obtain precise aod values in areas with higher reflectance such as arid areas land surface reflectance lsr must be estimated accurately . this paper proposes a method of estimating lsr for aod retrieval over arid areas from long term series of modis images . according to the atmospheric parameters aod and water vapor the clearest image without clouds was selected from the long term series of continuous modis images . atmospheric correction was conducted based on similar ground measured atmospheric parameters and was used to estimate the lsr and retrieve the aod at adjacent times . to validate this method aerosol inversion experiments were performed in northern xinjiang in which the inverted aod was compared to ground measured aod and modis aerosol products mod04 . the aod retrieved using the new algorithm was highly consistent with the aod derived from ground based measurements with a correlation coefficient of 0.84 . additionally 82.22 % of the points fell within the expected error defined by nasa . the precision of the retrieved aod data was better than that of mod04 aod products over arid areas . full article open accessarticle inverse modeling of nitrogen oxides emissions from the 2010 russian wildfires by using satellite measurements of nitrogen dioxideby evgeny & nbspv . & nbspberezin igor & nbspb . & nbspkonovalov and yulia & nbspy . & nbspromanovaatmosphere 2016 7 10 132 ; doi 10.3390 atmos7100132 registering doi 16 october 2016abstract observational constraints to biomass burning bb nox emissions as provided by satellite measurements of nitrogen dioxide no2 critically depend on quantitative assumptions regarding the atmospheric nox lifetime . in this study we investigated nox emissions from the extreme ... read more . observational constraints to biomass burning bb nox emissions as provided by satellite measurements of nitrogen dioxide no2 critically depend on quantitative assumptions regarding the atmospheric nox lifetime . in this study we investigated nox emissions from the extreme wildfires that occurred in the european part of russia in summer 2010