فهرست مطالب mona asadi

With fast development and application, the Internet of Things (IoT) brings more opportunities to business. In the age of the Internet of Things as a disruptive technology, strategies can quickly fall behind, so the rhythm of planning has to keep pace. As well, the IoT concepts have to be added to the strategic agenda. Despite the importance of IoT strategic planning, few studies have been conducted on a suitable model for it. In this paper, to develop such a model using the meta-synthesis method, a systematic review was applied. Finally, the IoT strategic planning model with 4 components and 11 sub-components and their sequence was developed. “Identifying IoT business opportunities”, “evaluating IoT technical capabilities”, “evaluating IoT organizational capabilities”, and “economic feasibility of providing IoT technical and organizational capabilities” have been introduced as the components of the IoT strategic planning model. The model presented in this paper is general, but the implementation of each component, in any organization, industry, or sector (including the public sector) may have operational differences.

To report the short-term outcomes of modified deep sclerectomy (MDS) in the management of open angle glaucoma. This prospective, non-randomized, controlled study included 105 eyes (105 patients) with open angle glaucoma. Eyes were categorized as follows: trabeculectomy (30 eyes), MDS (27 eyes), phacotrabeculectomy (28 eyes), and phaco-MDS (20 eyes). The MDS technique involved removal of a third scleral flap to expose the suprachoroidal space and excision of a trabecular block. A two-site approach was used for combined surgeries. Main outcome measures included intraocular pressure (IOP), number of glaucoma medications, and complications. Treatment success was defined as an IOP of 6–15 mmHg and/or a 30% reduction in IOP. All groups showed significant decrease in IOP and number of medications (both P s < 0.001). The MDS group had a higher IOP (13.9 ± 3.8 vs. 12.4 ± 2.5 mmHg, P = 0.080) and required more medications (P = 0.001) than the trabeculectomy group at 1 year. The MDS group had a higher baseline IOP than the trabeculectomy group (P = 0.004) and both the groups showed similar IOP reductions (33.3% vs. 25.7%, P = 0.391). The phaco-MDS and phacotrabeculectomy groups had comparable IOP (13.3 ± 3.1 vs. 12.4 ± 3.1 mmHg, P = 0.354), number of medications (P = 0.594), and IOP reduction (P = 0.509) at 1-year follow-up visit. The trabeculectomy and phacotrabeculectomy groups developed more wound leaks (P = 0.043) and required more bleb needling during the early postoperative period (P < 0.001). The MDS technique seems to be slightly inferior to trabeculectomy, but when combined with phacoemulsification, is safer and results in similar IOP outcomes.

Catatonia is a neuro-psychological syndrome characterized by motor, behavioral, emotional, and vegetative symptoms. This phenomenon can occur in primary psychological disorders and in association with neurological and other general medical diseases. Postpartum catatonia is a rare condition. In this research, we reviewed the presentation, diagnosis, and treatment of a case of postpartum psychosis with catatonia.
A 21-year-old woman was presented with mutism, waxy flexibility, unresponsiveness and fever 10 days after delivering a healthy neonate. Assessments were made to exclude meningoencephalitis and other possible underlying medical disorders. After the investigations, a perinephric abscess was found in abdominal sonography. Despite the percutaneous abscess drainage, antibiotic therapy and treatment of fever, other symptoms continued. After catatonia diagnosis, the patient was treated with oral lorazepam, which significantly improved the signs of this disease. However, appearance of psychotic signs (e.g., delusions, hallucinations, and suicide thoughts) led to the diagnosis of postpartum psychosis and treatment of the patient with antipsychotic medications. Furthermore, she was candidate of electroconvulsive therapy to accelerate the pace of recovery. The patient responded dramatically to electroconvulsive therapy.
Catatonia is a rare complication of medical and psychological disorders, which can be seen in postpartum period. Early diagnosis and treatment of postpartum catatonia is crucial for maternal and neonatal health.

Needs of affected people for relief commodities in the natural disasters often make crisis worse. Therefore location of distribution of depots and setup these depots wherever accelerate fast distribution have a special importance. In this paper a location-allocation model of distribution facilities with the objective of minimizing the costs has been proposed. So that this model under uncertainty allocates the established depots to affected areas under different scenarios considering dynamic demand in which over the first 72 hours after the beginning of the crisis. Also two kinds of reliable and unreliable depots and backup depots with the possibility of damage to facilities and routs has been considered to increase the reliability. The proposed model has been applied on a case study the earthquake in Tehran city. Then we have solved the problem for a different number of facilities and performed a sensitivity analysis and validation process. Also the demand for relief has been forecasted for the year 1398 with the ARMA method and the results have been reported. Computational results show that location of distribution depots and allocation of the areas according to the proposed modelcan improve the aid and help managers to manage the crisis.

Biofuels have attracted much attention as a sutuible substitute for fossil fuels in last decade. Designing an efficient supply chain is an essential requirement for commercialization of biofuel production. This paper presents a mixed integer linear programming (MILP) model to design biofuel supply chains in which the biofuel demand is under ARMA time series models. It is studied how ARMA time series structure of biofuel demand affect the supply chain design. A numerical example is used to demonstrates application of the proposed model to design the most optimal biofuel supply chain. In addition, to provide insights for efficiently designing a biofuel supply chain, the ARMA models of biofuel demand is used to forecast the biofuel supply chain design for a 8-year.

Biofuel is known as one of the best gasoline substitutes in the transportation industry. Designing an optimal supply chain is an essential requirement for the commercialization of biofuel production. This paper presents a mixed integer linear programming model to design a biofuel supply chain in which biofuel demand is under autoregressive moving average time series models. It is studied how the autoregressive moving average time series structure of biofuel demand affects the given supply chain design. Also, a numerical example demonstrates application of the proposed model used to design the most optimal biofuel supply chain. In addition, to provide insights for efficiently designing the biofuel supply chain, the autoregressive moving average models of biofuel demand are used to forecast biofuel supply chain design for an 8-year time horizon.

Natural disasters cause deaths of thousands and affect millions of people every year. Thus, we should think about disaster preparedness planning to reduce the impact of them. Location of distribution centers and allocation of affected people to these centers are very important in emergency management, because they cause to reduce the relief time and damages caused by the disasters. This paper aims to locations of distribution centers and allocation of affected area to these centers by considering dynamic and uncertain demands, to reduce cost and increase reliability. At this article the reliability is considered as the backup depots, probability of failures for the routes and depots, and as a separate objective. Also uncertainty is displayed as a scenario and allocation of established depots are done according to different scenarios. A case study about earthquake in Tehran city is selected and implemented in the model to evaluate and validate the proposed model. Result shows that we can increase the satisfied demands and reliably by using the proposed model which has a significant important in emergency management.