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  1. Article ; Online: The Role of PGC1-1a in Modulating Oxidative Stress, Cardiovascular Risk Factors, and Cellular Metabolism in Cardiomyocytes

    Ali Ahmadi

    International Journal of Basic Science in Medicine, Vol 5, Iss 3, Pp 66-

    2020  Volume 67

    Keywords oxidative stress ; heart tissue ; intermittent training ; gene expression ; Medicine (General) ; R5-920
    Language English
    Publishing date 2020-09-01T00:00:00Z
    Publisher Zabol University of Medical sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Greenhouse gas emission inventory and quantifying regional compatible mitigation plans-horizon 2030 (case study

    Ali Ahmadi Orkomi

    سلامت و محیط, Vol 15, Iss 1, Pp 121-

    Guilan province, Iran)

    2022  Volume 136

    Abstract: Background and Objective: Greenhouse gas emission estimation and submitting a regular national report on climate change has been underway since 2003. Given the importance of this issue, estimating emissions at the provincial level and assessing local ... ...

    Abstract Background and Objective: Greenhouse gas emission estimation and submitting a regular national report on climate change has been underway since 2003. Given the importance of this issue, estimating emissions at the provincial level and assessing local emission management capacities will make the country more agile in reporting and emission control. Materials and Methods: The greenhouse gas emission in four sectors as energy, industry, agriculture, forestry and other landuse and wastes and all sub-sectors of these areas was determined in Guilan Province. The annual emission has been estimated using the 2019 activity data and the IPCC (Intergovernmental Panel on Climate Change) software. Results: The gross and per capita greenhouse gases’ emission of the province are 18.5 Mt and 7.31 tons per year carbon dioxide equivalent, respectively, so that the annual ecological supply of forests to capture greenhouse gases is estimated at 2 Mt. The thermal power plants, residential consumption (except electricity) and transportation sectors are the major emission sectors in the province with 36, 23 and 19% share, respectively. Out of four scenarios, the wind farms development scenario (nominal capacity 3 GW) and 10% energy savings in the residential sector reduce greenhouse gas emissions by 9% and 2.9%, respectively. The cumulative impact of all the proposed scenarios by 2030 will also lead to a 13% reduction in emissions compared to the current situation. Conclusion: Considering the existing capacities in the clean power generation and energy saving in the residential sector, it is possible to reduce the emission of greenhouse gases by 13% by 2030. Since the proposed scenarios are regionalized and do not depend on management decisions in other provinces, they have good feasibility. Consequently, if clean power generation plans are established in other provinces and energy consumption management in the transport sector is applied at the national scale, it may be expected that the country's minimum commitments (4% reduction ...
    Keywords emission estimation ; emission reduction scenario ; greenhouse gas ; guilan ; Environmental sciences ; GE1-350
    Subject code 571
    Language Persian
    Publishing date 2022-04-01T00:00:00Z
    Publisher Tehran University of Medical Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: An integrated optimization model and metaheuristics for assortment planning, shelf space allocation, and inventory management of perishable products

    Seyed Jafar Sajadi / Ali Ahmadi

    PLoS ONE, Vol 17, Iss

    A real application

    2022  Volume 3

    Abstract: Product category management (PCM) plays a pivotal role in today’s large stores. PCM manages to answer questions such as assortment planning (AP) and shelf space allocation (SSA). AP problem seeks to determine a list of products and suppliers, while SSA ... ...

    Abstract Product category management (PCM) plays a pivotal role in today’s large stores. PCM manages to answer questions such as assortment planning (AP) and shelf space allocation (SSA). AP problem seeks to determine a list of products and suppliers, while SSA problem tries to design the layout of the selected products in the available shelf space. These problems aim to maximize the retailer sales under different constraints, such as limited purchasing budget, limited space of classes for displaying the products, and having at least a certain number of suppliers. This paper makes an attempt to develop an integrated mathematical model to optimize integrated AP, SSA, and inventory control problem for the perishable products. The objective of the model is to maximize the sales and retail profit, considering the costs of supplier contracting/selecting and ordering, assortment planning, holding, and procurement cost. GAMS BARON solver is hired to solve the proposed model in small and medium scales. However, because the problem is NP-hard, an evolutionary genetic algorithm (GA), and an efficient local search vibration damping optimization (VDO) algorithm are proposed. A real case study is considered to evaluate the effectiveness and capabilities of the model. Besides, some test problems of different sizes are generated and solved by the proposed metaheuristic solvers to confirm the efficient performance of proposed algorithms in solving large-scale instances.
    Keywords Medicine ; R ; Science ; Q
    Subject code 006
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: An integrated optimization model and metaheuristics for assortment planning, shelf space allocation, and inventory management of perishable products

    Seyed Jafar Sajadi / Ali Ahmadi

    PLoS ONE, Vol 17, Iss 3, p e

    A real application.

    2022  Volume 0264186

    Abstract: Product category management (PCM) plays a pivotal role in today's large stores. PCM manages to answer questions such as assortment planning (AP) and shelf space allocation (SSA). AP problem seeks to determine a list of products and suppliers, while SSA ... ...

    Abstract Product category management (PCM) plays a pivotal role in today's large stores. PCM manages to answer questions such as assortment planning (AP) and shelf space allocation (SSA). AP problem seeks to determine a list of products and suppliers, while SSA problem tries to design the layout of the selected products in the available shelf space. These problems aim to maximize the retailer sales under different constraints, such as limited purchasing budget, limited space of classes for displaying the products, and having at least a certain number of suppliers. This paper makes an attempt to develop an integrated mathematical model to optimize integrated AP, SSA, and inventory control problem for the perishable products. The objective of the model is to maximize the sales and retail profit, considering the costs of supplier contracting/selecting and ordering, assortment planning, holding, and procurement cost. GAMS BARON solver is hired to solve the proposed model in small and medium scales. However, because the problem is NP-hard, an evolutionary genetic algorithm (GA), and an efficient local search vibration damping optimization (VDO) algorithm are proposed. A real case study is considered to evaluate the effectiveness and capabilities of the model. Besides, some test problems of different sizes are generated and solved by the proposed metaheuristic solvers to confirm the efficient performance of proposed algorithms in solving large-scale instances.
    Keywords Medicine ; R ; Science ; Q
    Subject code 006
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Theoretical investigation of fullerene nano carrier anti-cancer drug delivery of Azacitidine

    Niloofar Jafari / Sayed Ali Ahmadi / Razieh Razavi

    Nanochemistry Research, Vol 8, Iss 1, Pp 40-

    2023  Volume 49

    Abstract: Azacitidine, known under the brand Vidaza, has therapeutic applications for several health complications, including myelodysplastic syndrome, myeloid leukemia, and juvenile myelomonocytic leukemia. The fullerene, mainly C60, has many attractive ... ...

    Abstract Azacitidine, known under the brand Vidaza, has therapeutic applications for several health complications, including myelodysplastic syndrome, myeloid leukemia, and juvenile myelomonocytic leukemia. The fullerene, mainly C60, has many attractive properties such as physical and electrochemical properties, which can be useful for drug delivery. The current research has focused on the characteristics of Azacitidine concerning its reactivity and chemical structure, which may contribute to its anti-cancer effects. Accordingly, the process of Azacitidine adsorption on fullerene adsorbent was investigated in the gas phase utilizing DFT/B3LYP/6-311+G(d, p). The adsorption process on the adsorbent molecule was examined from a chemical perspective, along with the calculation of the adsorption energy. In addition, the chemical structure (dipolar moment (µ=2.56705)), thermodynamic features consisting of Gibbs free energy (-2354.94 kJ), enthalpy (-2354.80 kJ), entropy (+495.49 J/mol-kelvin), and thermodynamic capacity (226.74 J/mol-kelvin), together with effective electronic parameters such as (σ(0.15), µ(-3.49), ω(0.93), χ(3.49), and η(6.51) all data in eV ) in illustrating the compound’s chemical characteristics were estimated. Calculating the HOMO(-10.00 eV) and LUMO(3.02 eV) energy levels showed nine regions with chemical activity for Azacitidine, confirming that it is thermodynamically stable while also highlighting the role of this adsorption in Azacitidine delivery to biological mechanisms. Better nucleophilic behaviors can be obtained because the oxygen of the carbonyl group is more negatively charged due to the resonance happening for this molecule. The complex of Azacitidine with fullerene shows decrease in Chemical potential which illustrates more reactivity for the Complex.
    Keywords azacitidine ; fullerene ; dft ; anti-cancer ; drug ; Chemical technology ; TP1-1185 ; Chemistry ; QD1-999
    Subject code 541
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Iranian Chemical Society
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Prevalence of different comorbidities in chronic obstructive pulmonary disease among Shahrekord PERSIAN cohort study in southwest Iran

    Fatemeh Zeynab Kiani / Ali Ahmadi

    Scientific Reports, Vol 11, Iss 1, Pp 1-

    2021  Volume 8

    Abstract: Abstract Comorbidities are common in chronic obstructive pulmonary disease (COPD) patients. This study was conducted to determine the prevalence of common comorbidities in patients with COPD compared with people without COPD. This cross-sectional, ... ...

    Abstract Abstract Comorbidities are common in chronic obstructive pulmonary disease (COPD) patients. This study was conducted to determine the prevalence of common comorbidities in patients with COPD compared with people without COPD. This cross-sectional, population-based study was performed on 6961 adults aged 35–70 years enrolled in the Shahrekord PERSIAN cohort study. Data (demographic and clinical characteristics, comorbidities, anthropometric and blood pressure measurements, laboratory, and spirometry tests) collection was performed according to the cohort protocol from 2015 to 2019. In the present study, 215 (3.1%) patients were diagnosed with COPD and 1753 (25.18%) ones with restrictive lung patterns. The mean age of COPD patients was 52.5 ± 9.76 years. 55.8% of patients were male, 17.7% were current smokers and 12.1% had a history of smoking or were former smokers. 5.6% of patients had no comorbidity and 94.5% had at least one comorbidity. The most common comorbidities in COPD patients were dyslipidemia (70.2%), hypertension (30.2%), metabolic syndrome (22.8%), and diabetes (16.7%). The most common comorbidities in individuals with a restrictive spirometry pattern were dyslipidemia (68.9%), metabolic syndrome (27.2%), hypertension (26.1%), depression (17.6%), and fatty liver (15.5%). The logistic regression analysis with 95% confidence interval (95%CI) of odds ratio (OR) showed that comorbidities of chronic lung diseases (OR = 2.12, 95% CI 1.30–3.44), diabetes (OR = 1.54, 95%CI 1.03–2.29), cardiovascular disease (OR = 1.52, 95%CI 1.17–2.43), and hypertension (OR = 1.4, 95%CI 1.02–1.99) were more likely to occur in COPD patients than in healthy individuals. Knowing these prevalence rates and related information provides new insights on comorbidities to reduce disease burden and develop preventive interventions and to regulate health care resources to meet the needs of patients in primary health care.
    Keywords Medicine ; R ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: A graph-based gene selection method for medical diagnosis problems using a many-objective PSO algorithm

    Saeid Azadifar / Ali Ahmadi

    BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-

    2021  Volume 16

    Abstract: Abstract Background Gene expression data play an important role in bioinformatics applications. Although there may be a large number of features in such data, they mainly tend to contain only a few samples. This can negatively impact the performance of ... ...

    Abstract Abstract Background Gene expression data play an important role in bioinformatics applications. Although there may be a large number of features in such data, they mainly tend to contain only a few samples. This can negatively impact the performance of data mining and machine learning algorithms. One of the most effective approaches to alleviate this problem is to use gene selection methods. The aim of gene selection is to reduce the dimensions (features) of gene expression data leading to eliminating irrelevant and redundant genes. Methods This paper presents a hybrid gene selection method based on graph theory and a many-objective particle swarm optimization (PSO) algorithm. To this end, a filter method is first utilized to reduce the initial space of the genes. Then, the gene space is represented as a graph to apply a graph clustering method to group the genes into several clusters. Moreover, the many-objective PSO algorithm is utilized to search an optimal subset of genes according to several criteria, which include classification error, node centrality, specificity, edge centrality, and the number of selected genes. A repair operator is proposed to cover the whole space of the genes and ensure that at least one gene is selected from each cluster. This leads to an increasement in the diversity of the selected genes. Results To evaluate the performance of the proposed method, extensive experiments are conducted based on seven datasets and two evaluation measures. In addition, three classifiers—Decision Tree (DT), Support Vector Machine (SVM), and K-Nearest Neighbors (KNN)—are utilized to compare the effectiveness of the proposed gene selection method with other state-of-the-art methods. The results of these experiments demonstrate that our proposed method not only achieves more accurate classification, but also selects fewer genes than other methods. Conclusion This study shows that the proposed multi-objective PSO algorithm simultaneously removes irrelevant and redundant features using several different ...
    Keywords Gene selection ; Dimension reduction ; Many-objective PSO ; Gene clustering ; High dimensional ; Repair operator ; Computer applications to medicine. Medical informatics ; R858-859.7
    Subject code 006
    Language English
    Publishing date 2021-11-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Sense of Coherence or resilience as predictors of psychological distress in nursing students during the COVID-19 pandemic

    Leila Hasimi / Mehrnaz Ahmadi / Shahla Assadi Hovyzian / Ali Ahmadi

    Frontiers in Public Health, Vol

    2023  Volume 11

    Abstract: BackgroundThe COVID-19 pandemic lead to the occurrence of numerous psychological distress among students. This study aimed to determine the level of psychological distress as well as the predictive role of Sense of Coherence (SOC) and resilience in ... ...

    Abstract BackgroundThe COVID-19 pandemic lead to the occurrence of numerous psychological distress among students. This study aimed to determine the level of psychological distress as well as the predictive role of Sense of Coherence (SOC) and resilience in nursing students.MethodsA cross-sectional descriptive study was conducted on 310 nursing students in Ahvaz Jundishapur University of Medical Sciences, Iran. The data of the study was collected through the demographic information questionnaire, the General Health Questionnaire (GHQ), the Academic Resilience Inventory (ARI), and the Sense of Coherence Scale (SOC-13).ResultsStudents' mean scores for the GHQ, ARI, and SOC were 5.81 ± 1.37, 102.88 ± 11.91, and 54.54 ± 6.46, respectively. Regression models showed that two domains of SOC [meaningfulness (β = −0.28, p < 0.001), manageability (β = −0.19, p = 0.001)], female gender (β = 0.12, p = 0.015), and overall ARI (β = −0.12, p = 0.037), were significantly associated with the GH of nursing students. SOC domains [meaningfulness (β = −0.19, p = 0.002), manageability (β = −0.15, p = 0.006)], problem-oriented/positive thinking domain of ARI (β = −0.15, p = 0.011), sex (β = 0.12, p = 0.015), and history of death in first-degree relatives (β = 0.12, p = 0.021) were significantly associated with social dysfunction domain of GH. Three domains of SOC [meaningfulness (β = −0.26, p < 0.001), manageability (β = −0.13, p = 0.032), and comprehensibility (β = −0.13, p = 0.039)], were significantly associated with psychological distress domain of GH.ConclusionOur results indicated that low SOC and resilience were predictors of psychological distress in nursing students. Accordingly, interventions such as teaching stress management skills, the skills of using positive coping methods in dealing with stressful situations, and self-management skills are necessary to improve the level of resilience and SOC in nursing students.
    Keywords Sense of Coherence ; academic resilience ; psychological distress ; nursing students ; COVID-19 ; Public aspects of medicine ; RA1-1270
    Subject code 150
    Language English
    Publishing date 2023-08-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Investigating the effect of structural changes of two stretching disks on the dynamics of the MHD model

    Ali Ahmadi Azar / Bahram Jalili / Payam Jalili / Davood Domiri Ganji

    Scientific Reports, Vol 13, Iss 1, Pp 1-

    2023  Volume 19

    Abstract: Abstract The purpose of this theoretical study is to explore the behavior of an electrically conducting micropolar fluid when subjected to a uniform magnetic field along the vertical axis between two stretching disks as the structure of the problem ... ...

    Abstract Abstract The purpose of this theoretical study is to explore the behavior of an electrically conducting micropolar fluid when subjected to a uniform magnetic field along the vertical axis between two stretching disks as the structure of the problem changes. In this context, structural changes refer to alterations in the distance between the two discs or the stretching rate of the two discs. The governing equations of this problem are a set of nonlinear coupled partial differential equations, which are transformed into a nonlinear coupled ordinary differential equation set by a similarity transformation. The transformation results in four dimensionless quantities and their derivatives that appear in the equations. Nine dimensionless parameters are derived via similarity variables, including stretching Reynolds number, magnetic parameter, radiation parameter, Prandtl number, Eckert number, Schmidt number, and three micropolar parameters. Previous similarity solutions focused on analyzing the effect of changes in each parameter on the four dimensionless quantities. However, this type of analysis is mainly mathematical and does not provide practical results. This study’s primary novelty is to redefine the magnetic parameter, Eckert number, stretching Reynolds number, and two micropolar parameters to analyze physical parameters that depend on the stretching rate of the two discs or the distance between them. The semi-analytical hybrid analytical and numerical method (HAN-method) is used to solve the equations. The results demonstrate that structural changes affect all five quantities of radial velocity, axial velocity, microrotation, temperature, and concentration. The study’s most significant finding is that an increase in the stretching rate of the two disks causes a sharp increase in temperature and Nusselt number. Conversely, increasing the distance between the two disks causes a sharp decrease in micro-rotation and wall couple stress. They were compared to a previous study in a specific case to validate the ...
    Keywords Medicine ; R ; Science ; Q
    Subject code 532
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: The HAN method for a thermal analysis of forced non-Newtonian MHD Reiner-Rivlin viscoelastic fluid motion between two disks

    Payam Jalili / Ali Ahmadi Azar / Bahram Jalili / Davood Domiri Ganji

    Heliyon, Vol 9, Iss 6, Pp e17535- (2023)

    2023  

    Abstract: In this article, the semi-analytical technique of the Hybrid Analytical and Numerical Method (the HAN Method) is used to study the non-transient forced non-Newtonian MHD Reiner-Rivlin viscoelastic fluid motion that is constrained between two plates. The ... ...

    Abstract In this article, the semi-analytical technique of the Hybrid Analytical and Numerical Method (the HAN Method) is used to study the non-transient forced non-Newtonian MHD Reiner-Rivlin viscoelastic fluid motion that is constrained between two plates. The magnetic field is also present in this model. The governing equations are in the PDE form and by using the Von Kármán similarity variables, they transformed into a set of ODEs. The HAN-method is applied to solve the ODEs and their associated boundary conditions, analytically. In addition, for the validation, the HAN solution results were compared with the HPM and numerical technique of Runge-Kutta results. And finally, new results were extracted from the HAN solutions in a quantitative form.
    Keywords Reiner-Rivlin fluid ; MHD flow ; Shear stress ; Viscoelastic fluid flow ; Heat transfer ; Swirling disk ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
    Subject code 532
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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