Background: In recent decades, with the significant developments in technology, the Internet has become a main part of peoples' lives. The widespread use of the Internet has raised significant concerns about problematic Internet behaviors and their consequences. This study aimed to examine if Internet addiction significantly predicts obesity and whether Internet addiction and obesity are significantly predicted by emotion dysregulation. Mthods: 367 school-attending adolescents (M age = 13.35; SD = 0.82; 49% girls) in Tekab were recruited and completed the Difficulties in Emotion Regulation Scale (DERS) and Internet Addiction Test (IAT) measures, while their BMI scores were calculated to examine the participants' obesity levels. Results: The results indicated that Internet addiction significantly predicted obesity, while they both were significantly predicted by emotion dysregulations. Conclusion: Our findings could be informative for clinicians working with individuals suffering from Internet addiction and obesity.
In the supply chain of Fast-Moving Consumer Goods (FMCG), logistics costs represent a major part of total expenses. At these low-level chains, one usually faces a Vehicle Routing Problem (VRP). In practice, however, due to the high cost of service in many cases, some customers are not selected to serve. Investment-related restrictions in many cases make it impossible to serve some of the potential customers. In such conditions, designing a supply chain network, including a location-allocation problem in the warehouse, Multiple Depot Vehicle Routing Problem (MDVRP) at the distribution level, and customer selection at the retail level in several periods of time, is considered. In this respect, in addition to certain methods that can be used in small sizes, metaheuristic algorithms have been used to solve large-scale models. With the aim of improving the performance, if not improving a few diversi cations, algorithms are temporarily enhanced; eventually, by using statistical approaches, it has been demonstrated that this method could have a signi cant impact on the quality of responses. Genetic Algorithm (GA) and Simulated Annealing (SA) algorithm have been used for this purpose.
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