54 research outputs found

    Effect of Quercus infectoria and Zataria multiflora extracts on the expression of Apo-B100 and PPAR-α in liver and adipose tissues in insulin resistant rats

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    Background: Insulin resistance can increase the risk of metabolic syndrome. Studies have shown that expression of PPAR alpha improved insulin function in patients with insulin resistance. Also ApoB100 is an essential ligand for the receptors of low-density lipoproteins (LDL). Increased plasma level of apoB100 is a risk factor for cardiovascular disease (CVD) and its increased production leads to insulin resistance. The aim of this study was to evaluate the effects of Q. Infectoria and Z. multiflora extracts on the expression of PPARα and Apo-B100 genes in adipose and hepatic tissues of insulin-resistant ratsMaterials and methods: Forty Wistar rats were divided into 1- healthy control, 2- high fat control, 3- fenofibrate,4- Q. Infectoria and 5- Z. multiflora groups. All groups were fed with high fat diet for 6 weeks expect for the healthy control. Glucose tolerance test was performed to confirm insulin resistance in rats. Then groups 3, 4, and 5 were treated by fenofibrate, Q. Infectoria and Z. multiflora extracts respectively. After sacrificing the rats, their liver and fat tissues were removed. Real-time PCR was used to assess PPARα and ApoB100 gene expressions. Results: All groups had significant weight gain after 8 weeks. Expression of PPAR-α and ApoB100 genes were the same in Q. Infectoria, Z. multiflora, fenofibrate and healthy control groups.Conclusion: In conclusion, Q. Infectoria and Z. multiflora extracts decreased ApoB100 and increased PPARα gene expressions but these changes were not statistically significant

    Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.

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    The Global Burden of Diseases, Injuries and Risk Factors 2017 includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data. METHODS: We estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting

    Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

    Get PDF
    The Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data.; We estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting. Globally, for females, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and haemoglobinopathies and haemolytic anaemias in both 1990 and 2017. For males, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and tuberculosis including latent tuberculosis infection in both 1990 and 2017. In terms of YLDs, low back pain, headache disorders, and dietary iron deficiency were the leading Level 3 causes of YLD counts in 1990, whereas low back pain, headache disorders, and depressive disorders were the leading causes in 2017 for both sexes combined. All-cause age-standardised YLD rates decreased by 3·9% (95% uncertainty interval [UI] 3·1-4·6) from 1990 to 2017; however, the all-age YLD rate increased by 7·2% (6·0-8·4) while the total sum of global YLDs increased from 562 million (421-723) to 853 million (642-1100). The increases for males and females were similar, with increases in all-age YLD rates of 7·9% (6·6-9·2) for males and 6·5% (5·4-7·7) for females. We found significant differences between males and females in terms of age-standardised prevalence estimates for multiple causes. The causes with the greatest relative differences between sexes in 2017 included substance use disorders (3018 cases [95% UI 2782-3252] per 100 000 in males vs s1400 [1279-1524] per 100 000 in females), transport injuries (3322 [3082-3583] vs 2336 [2154-2535]), and self-harm and interpersonal violence (3265 [2943-3630] vs 5643 [5057-6302]). Global all-cause age-standardised YLD rates have improved only slightly over a period spanning nearly three decades. However, the magnitude of the non-fatal disease burden has expanded globally, with increasing numbers of people who have a wide spectrum of conditions. A subset of conditions has remained globally pervasive since 1990, whereas other conditions have displayed more dynamic trends, with different ages, sexes, and geographies across the globe experiencing varying burdens and trends of health loss. This study emphasises how global improvements in premature mortality for select conditions have led to older populations with complex and potentially expensive diseases, yet also highlights global achievements in certain domains of disease and injury

    Ascomycetes From North Temperate Lakes in Wisconsin

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    190 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999.A comprehensive study of freshwater ascomycetes in seven lakes in northern Wisconsin was carried out. These lakes are part of the Long Term Ecological Research (LTER) project and have been the subject of limnological studies since the early 1900's. Our knowledge of freshwater ascomycetes is fairly recent and based on studies done in the past 50 years. Freshwater ascomycetes are defined as species that occur on submerged or partially submerged substrata in aquatic habitats. To date, no studies focusing on systematic collection of freshwater ascomycetes in lentic habitats throughout a year exist. Thus, little or no information is available regarding their frequencies and distributions from season to season. In this study, monthly samples of submerged substrata were collected and examined for freshwater ascomycetes from 1994 to 1997. Eighty-two ascomycetes on different substrata were reported from the lakes. Eleven species and 2 genera are described as new. Two discomycetes, Dasyscyphus controversa and Hymenoscyphus scutulus; two pyrenomycetes, Gnomonia petiolorum and Phomatospora berkeleyi; and six loculoascomycetes, Chaetomastia typhicola , Macrospora typhicola, Massarina eburnea , Melanomma pulvis-pyrius, Phaeosphaeria caricis, and Roussoella intermedia were new records for freshwater. One discomycete, Lambertella advenula, and a loculoascomycete, R. intermedia, were reported for the first time from North America. The ratio of species of Discomycetes: Pyrenomycetes: Loculoascomycetes was 19: 35: 28. Pyrenomycetes were mostly restricted to woody substrata and Loculoascomycetes to herbaceous substrata. Species occurrences were not well correlated with changes in temperature, but pH may be an important factor in fungal distribution patterns among the lakes. In many cases, the distribution of species depended on the distribution of their substrata.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD

    Ascomycetes From North Temperate Lakes in Wisconsin

    No full text
    190 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999.A comprehensive study of freshwater ascomycetes in seven lakes in northern Wisconsin was carried out. These lakes are part of the Long Term Ecological Research (LTER) project and have been the subject of limnological studies since the early 1900's. Our knowledge of freshwater ascomycetes is fairly recent and based on studies done in the past 50 years. Freshwater ascomycetes are defined as species that occur on submerged or partially submerged substrata in aquatic habitats. To date, no studies focusing on systematic collection of freshwater ascomycetes in lentic habitats throughout a year exist. Thus, little or no information is available regarding their frequencies and distributions from season to season. In this study, monthly samples of submerged substrata were collected and examined for freshwater ascomycetes from 1994 to 1997. Eighty-two ascomycetes on different substrata were reported from the lakes. Eleven species and 2 genera are described as new. Two discomycetes, Dasyscyphus controversa and Hymenoscyphus scutulus; two pyrenomycetes, Gnomonia petiolorum and Phomatospora berkeleyi; and six loculoascomycetes, Chaetomastia typhicola , Macrospora typhicola, Massarina eburnea , Melanomma pulvis-pyrius, Phaeosphaeria caricis, and Roussoella intermedia were new records for freshwater. One discomycete, Lambertella advenula, and a loculoascomycete, R. intermedia, were reported for the first time from North America. The ratio of species of Discomycetes: Pyrenomycetes: Loculoascomycetes was 19: 35: 28. Pyrenomycetes were mostly restricted to woody substrata and Loculoascomycetes to herbaceous substrata. Species occurrences were not well correlated with changes in temperature, but pH may be an important factor in fungal distribution patterns among the lakes. In many cases, the distribution of species depended on the distribution of their substrata.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD

    A Fuzzy Two-Echelon Model to Optimize Energy Consumption in an Urban Logistics Network with Electric Vehicles

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    With the increase in pollutants, the need to use electric vehicles (EVs) in various urban logistics activities is an increasingly important issue. Currently, there are issues with the efficiency of transport companies in recognizing the effects of uncertain factors in daily logistics operations. Thus, this research proposes a novel fuzzy two-echelon vehicle routing problem involving heterogeneous fleet EVs and internal combustion vehicles (ICVs). The first echelon is recyclable wastes collected from waste pickup points and transported to the primary centers by EVs. The second echelon is transporting recyclable wastes to recycling centers by ICVs. In the proposed models, fuzzy numbers are used to express the rate and energy consumption depending on the amount of load, vehicle speed, and recyclable waste. In addition, a penalty cost of the time windows is considered in both echelons. The models are solved by CPLEX and two meta-heuristic algorithms, gray wolf optimizer (GWO) and tabu search (TS), based on different instance sizes. The results show the efficiency of the proposed algorithms

    A Fuzzy Two-Echelon Model to Optimize Energy Consumption in an Urban Logistics Network with Electric Vehicles

    No full text
    With the increase in pollutants, the need to use electric vehicles (EVs) in various urban logistics activities is an increasingly important issue. Currently, there are issues with the efficiency of transport companies in recognizing the effects of uncertain factors in daily logistics operations. Thus, this research proposes a novel fuzzy two-echelon vehicle routing problem involving heterogeneous fleet EVs and internal combustion vehicles (ICVs). The first echelon is recyclable wastes collected from waste pickup points and transported to the primary centers by EVs. The second echelon is transporting recyclable wastes to recycling centers by ICVs. In the proposed models, fuzzy numbers are used to express the rate and energy consumption depending on the amount of load, vehicle speed, and recyclable waste. In addition, a penalty cost of the time windows is considered in both echelons. The models are solved by CPLEX and two meta-heuristic algorithms, gray wolf optimizer (GWO) and tabu search (TS), based on different instance sizes. The results show the efficiency of the proposed algorithms

    Mathematical modeling of a bi-objective hub location-routing problem for rapid transit networks

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    This paper aims to develop a mathematical model for rapid transit networks based on a hub and spoke model, comprising stopovers (stations) in the hub and non-hub (spoke) alignments. Due to the use of rapid transit systems in both the hub-level sub-network (i.e., the network among the hub nodes) and the spoke-level sub-network (i.e., the network which connect the spoke nodes to each other and to the hub nodes), the proposed model relaxes some of the usual assumptions in classical hub location models. In the proposed model, the transshipment of flows among the spoke nodes is possible, the setup costs of all the hub and spoke nodes and edges are considerable, and both hub and spoke edges have capacity constraints. In addition to the network infrastructure designed through decisions about the locations of the hub and spoke nodes and edges, the hub and spoke rapid transit lines are determined along with the routes of demands in those lines. The model incorporates profit and service time criteria. An adaptive large neighborhood search solution algorithm is developed whose efficiency is proved by the computational results. Some managerial insight is also provided through the analysis of the resulting networks under various parameter settings
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