The most useful medicinal herbs to treat diabetes

Diabetes mellitus is a syndrome that is characterized by hyperglycemia, change in the metabolism of lipids, carbohydrates, and proteins, and in the long term, with eye, kidney, cardiovascular, and neurological complications. Plenty of plants from different regions of the world have been investigated for anti-diabetic effects. This review article was designed to report some of the most important medicinal plants with hypoglycemic properties according to reliable clinical and laboratory evidence, and also touched on the medicinal plants that are prescribed in Iranian traditional medicine, for the treatment of diabetes. The information in this review was obtained from the eligible articles retrieved using the search terms diabetes mellitus, medicinal plants, type 1 diabetes and medicinal plants, type 2 diabetes and medicinal plants, and the effect of extract and essential oil of medicinal plants affecting diabetized tissues in the human body indexed in databases such as Iran medex, Irandoc, ISI, PubMed, Scopus, SID, Magiran, Google Scholar, etc. Based on the results drawn in this review the plants, Urtica, Trigonella foenum-graecum, Allium sativum, Carthamus tinctorius, Ferula assa-foetida, Bauhinia, Gymnema sylvestre, Swertia, Combretum, Sarcopoterium, Liriope, Caesalpinia bonduc, Coccinia grandis, Syzygium cumini, Mangifera indica, Momordica charantia, Ocimum tenuiflorum, Pterocarpus, Tinospora cordifoli, Salvia officinalis, Panax, Cinnamomum verum, Abelmoschus moschatus, Vachellia nilotica, Achyranthes, Fabaceae, Mentha, Asphodelaceae, Andrographis paniculata L, Artemisia herba-alba, Artemisia dracunculus, Azadirachta indica, Caesalpinioideae, Pachira aquatic, Gongronema latifolium, Nigella Sativa, Tinospora cordifolia (guduchi), Chrysanthemum morifolium, Zingiber zerumbet, Symphytum, Cactaceae, Symplocos, Perilla frutescens, Terminalia chebula and Aloe vera are effective to controland treat diabetes

The most useful medicinal herbs to treat diabetes

Diabetes mellitus is a syndrome that is characterized by hyperglycemia, change in the metabolism of lipids, carbohydrates, and proteins, and in the long term, with eye, kidney, cardiovascular, and neurological complications. Plenty of plants from different regions of the world have been investigated for anti-diabetic effects. This review article was designed to report some of the most important medicinal plants with hypoglycemic properties according to reliable clinical and laboratory evidence, and also touched on the medicinal plants that are prescribed in Iranian traditional medicine, for the treatment of diabetes. The information in this review was obtained from the eligible articles retrieved using the search terms diabetes mellitus, medicinal plants, type 1 diabetes and medicinal plants, type 2 diabetes and medicinal plants, and the effect of extract and essential oil of medicinal plants affecting diabetized tissues in the human body indexed in databases such as Iran medex, Irandoc, ISI, PubMed, Scopus, SID, Magiran, Google Scholar, etc. Based on the results drawn in this review the plants, Urtica, Trigonella foenum-graecum, Allium sativum, Carthamus tinctorius, Ferula assa-foetida, Bauhinia, Gymnema sylvestre, Swertia, Combretum, Sarcopoterium, Liriope, Caesalpinia bonduc, Coccinia grandis, Syzygium cumini, Mangifera indica, Momordica charantia, Ocimum tenuiflorum, Pterocarpus, Tinospora cordifoli, Salvia officinalis, Panax, Cinnamomum verum, Abelmoschus moschatus, Vachellia nilotica, Achyranthes, Fabaceae, Mentha, Asphodelaceae, Andrographis paniculata L, Artemisia herba-alba, Artemisia dracunculus, Azadirachta indica, Caesalpinioideae, Pachira aquatic, Gongronema latifolium, Nigella Sativa, Tinospora cordifolia (guduchi), Chrysanthemum morifolium, Zingiber zerumbet, Symphytum, Cactaceae, Symplocos, Perilla frutescens, Terminalia chebula and Aloe vera are effective to controland treat diabetes

A new method for critical path method with fuzzy processing time

Critical path method plays an important role on managing medium to large-scale problems. It is often difficult to determine the critical path for different reasons such as the existing uncertainties in processing tasks. One alternative to handle the uncertainty associated with the processing time is to use fuzzy techniques. We present a new method to calculate the critical path method when the processing times follow trapezoidal fuzzy numbers. The proposed model of this paper does not use any defuzzification technique to find the final processing time. The implementation of the proposed model is compared with other techniques using a well-known example from the literature

The Association between Religious Belief and Drug Adherence Mediated by Religious Coping in Patients with Mental Disorders

Introduction: Adherence to drug regimen is an important factor in the treatment of patients with mental disorders. In some studies, religious beliefs have been shown to be effective for treatment adherence. This study aimed to investigate the association between religious beliefs and adherence to the medication regimen mediated by religious coping in patients with mental disorders. Methods: In this cross‑sectional study, 164 patients with mental disorders were selected through convenient sampling from educational centers in Qazvin city. Data were collected using a demographic questionnaire, March Drug Adherence Questionnaire, Santaklara’s Religious Faithfulness questionnaire, and Pargament Religious Coping questionnaire. Data were expressed as mean ± standard deviation and analyzed using descriptive and inferential statistics. Results: The mean age of the patients was 38.87 ± 14.42 years. The mean duration of the disease was 5.71 ± 5.78 years. The mean of the religious belief score was 30.90 ± 5.96, the mean of the negative religious coping score was 2.17 ± 2.94, and the mean of positive religious coping score was 6.83 ± 4.69. There was a significant positive correlation between religious beliefs, adherence to medication regimen, and positive religious coping. There was a significant negative correlation between religious beliefs, adherence to medication regimen, and negative religious coping. Conclusion: There was a significant positive correlation between religious beliefs and adherence to medication regimen in patients with mental disorders. Religious beliefs were directly associated with positive religious coping, and adherence to medication regimen was indirectly associated with negative religious confrontation

A two-level temporal fair scheduler for multi-cell wireless networks

We propose a two-level scheduler for a frequency reuse-1 multi-cell wireless network satisfying inter-and intra-cell weighted temporal fairness constraints. As opposed to hard partitioning of the entire frequency band to different cell patterns in frequency reuse-M systems (M>1), we propose sharing this band opportunistically in time by these patterns. Through numerical examples, we show notable gains in overall network throughput due to improved multi-user diversity in comparison with a conventional frequency reuse-3 system. © 2012 IEEE

Semantic Constraint and QoS-Aware Large-Scale Web Service Composition

Service-oriented architecture facilitates the running time of interactions by using business integration on the networks. Currently, web services are considered as the best option to provide Internet services. Due to an increasing number of Web users and the complexity of users’ queries, simple and atomic services are not able to meet the needs of users; and to provide complex services, it requires service composition. Web service composition as an effective approach to the integration of business institutions’ plans has taken significant acceleration. Nowadays, web services are created and updated in a moment. Therefore, in the real world, there are many services which may not have composability according to the conditions and constraints of the user's preferred choice. In the proposed method for automatic service composition, the main requirements of users including available inputs, expected outputs, quality of service, and the priority are initially and explicitly specified by the user and service composition is done with this information. In the proposed approach, due to a large number of services with the same functionality, at first, the candidate services are reduced by the quality of service-based Skyline method, and moreover, by using an algorithm based on graph search, all possible solutions will be produced. Finally, the user’s semantic constraints are applied on service composition, and the best composition is offered according to user’s requests. The result of this study shows that the proposed method is more scalable and efficient, and it offers a better solution by considering the user’s semantic constraints