Search results

The pharmaceutical industry is one of the most essential areas of health in any country. It is defined as a system of processes, operations and organizations involved in discovering, developing and producing drugs. The supply chain in the pharmaceutical field is one of the most important strategic issues in the pharmaceutical and health-care industries. The purpose of this study is to reduce the total cost of the supply chain network and reduce the amount of distribution scheduling.

In this study, the authors designed a drug supply chain network with uncertainty-related corruption. The optimal number and location of potential facilities, the optimal allocation of flow between facilities, the optimal routing of vehicles and the optimal amount of inventory in production and distribution center warehouses were determined to achieve these two objective functions.

In evaluating the small sample size problem, it was found that the comprehensive benchmarking method was more efficient than the other methods in obtaining the mean index of the first objective function. The utility function method has also proved its efficiency in obtaining the mean of the second objective function indices, the spacing index and the computational time. Because of the inefficiency of GAMS software in resolving size issues, the modified NSGA II and MOPSO algorithms with modified priority-based encryption have been used. First, using the Taguchi method, the initial parameters of the metaheuristic algorithms are adjusted, and then, 15 sample problems are designed in larger sizes. To avoid generating random data, five problems were equally designed, and the averages of objective functions and metrics of met heuristic algorithms (number of efficient solutions, maximum expansion index, spacing index and computational time) were analyzed as the basis of evaluation and comparison. Therefore, using all the indicators and results of the NSGA II algorithm is recommended.

In this research, a biobjective modeling approach is proposed to minimize the total costs of the supply chain network (construction costs, storage costs and product transportation costs between centers) and advertising costs and to minimize distribution and transportation scheduling across each level of the supply chain network.

Aggressive behaviors are common among students. Given the importance of education in reducing aggressive behavior, this study aims to examine the influence of a theory of planned behavior (TPB)-based educational intervention on aggression-preventive behaviors in fifth-grade male students in Fasa city, Iran.

A total of 120 male students were randomly picked from several public schools in Fasa city, Iran, between 2018 and 2019. Assessments were completed before and three months after the intervention. Intervention consisted of eight 55–60-min training sessions based on the TPB’s processes and constructs.

Prior to the educational intervention, there was no significant difference between the two groups in terms of attitude, subjective norms, perceived behavioral control, intention to stop aggressiveness or to engage in aggression-preventive activities. However, three months following the intervention, the experimental group demonstrated a considerable rise in the aforementioned constructs (p > 0.001 in all cases).

The study’s findings demonstrated the efficacy of a TPB-based educational intervention on constructs of the TPB theory. Results suggest application of a TPB-based educational intervention can have a pro-social impact on the attitudes and behavior of elementary age boys.

Untimely responses to emergency situations in urban areas contribute to a rising mortality rate and impact society's primary capital. The efficient dispatch and relocation of ambulances pose operational and momentary challenges, necessitating an optimal policy based on the system's real-time status. While previous studies have addressed these concerns, limited attention has been given to the optimal allocation of technicians to respond to emergency situation and minimize overall system costs.

In this paper, a bi-objective mathematical model is proposed to maximize system coverage and enable flexible movement across bases for location, dispatch and relocation of ambulances. Ambulances relocation involves two key decisions: (1) allocating ambulances to bases after completing services and (2) deciding to change the current ambulance location among existing bases to potentially improve response times to future emergencies. The model also considers the varying capabilities of technicians for proper allocation in emergency situations.

The Augmented Epsilon-Constrained (AEC) method is employed to solve the proposed model for small-sized problem. Due to the NP-Hardness of the model, the NSGA-II and MOPSO metaheuristic algorithms are utilized to obtain efficient solutions for large-sized problems. The findings demonstrate the superiority of the MOPSO algorithm.

This study can be useful for emergency medical centers and healthcare companies in providing more effective responses to emergency situations by sending technicians and ambulances.

In this study, a two-objective mathematical model is developed for ambulance location and dispatch and solved by using the AEC method as well as the NSGA-II and MOPSO metaheuristic algorithms. The mathematical model encompasses three primary types of decision-making: (1) Allocating ambulances to bases after completing their service, (2) deciding to relocate the current ambulance among existing bases to potentially enhance response times to future emergencies and (3) considering the diverse abilities of technicians for accurate allocation to emergency situations.

Acrylamide (AA) is predominantly used as a synthetic substance within various industries. However, AA is also recognized as a carcinogen. Zinc oxide nanoparticles (ZnO-NPs) are becoming increasingly attractive as medical agents. However, to the knowledge, the effects of ZnO-NPs on preventing cytotoxicity with AA have not been reported. Therefore, this study aims to determine the protective effects of ZnO-NPs against the cytotoxicity caused by AA.

MTT assay was used to determine the cytotoxicity. Reactive oxygen species (ROS) formation, carbonyl protein, malondialdehyde (MDA) and glutathione (GSH) were measured and analyzed statistically.

The findings observed that the presence of 200 µM AA led to a substantial reduction in cell viability (p < 0.001). However, ZnO-NPs restored cell viability at 50 and 100 µM concentrations (p = 0.0121 and p = 0.0011, respectively). The levels of ROS were significantly reduced (p = 0.001 and p = < 0.001) to 518 ± 47.57 and 364 ± 47.79, respectively, compared to the AA group. The levels of GSH were significantly increased (p = 0.004 and p = 0.002) to 16.9 ± 1.3 and 17.6 ± 0.5, respectively, compared to the AA group. The levels of MDA were significantly decreased (p = 0.005, p < 0.001 and p < 0.001) when compared to the AA group, as were the levels of carbonyl protein (p = 0.009 and p < 0.002) in comparison to the AA group.

In summary, the outcomes of this research indicate that ZnO-NPs played a role in inhibiting AA-induced oxidative stress and cytotoxicity.

Food insecurity exists when access to nutritionally sufficient and secure foods or the ability to obtain admissible foods in socially acceptable ways is limited or uncertain. Food insecurity is most likely associated with chronic disease. However, research into the possible relationship between food insecurity and cancer, the world’s second leading cause of death, is limited. The purpose of this study was to determine the level of food insecurity as well as the associated socioeconomic characteristics among cancer patients.

A cross-sectional study was conducted on 240 cancer patients in Iran. The socioeconomic and 18-item U.S. Department of Agriculture (USDA) Food Security Questionnaires were used to measure general and socioeconomic characteristics, as well as food security status.

The prevalence of food insecurity was 25.4% in the form of hunger and 52.5% in the form of hidden hunger. Only 22.1% of the patients were food secure. The results of the logistic regression analysis revealed that having children under 18 years old (P = 0.035), economic status (P < 0.001), age of the patient (P = 0.001), educational level of household’s head and his spouse (P = 0.044 and P = 0.045, respectively, had statistically significant relationships with food insecurity.

Cancer patients have a high rate of food insecurity. Considering the importance of food security for effective cancer treatment, the health system’s attention to this issue, particularly by policymakers, appears to be required.