Investigation of the components and zoning of urban morphology based on sustainable development; Case study: District one of Tabriz

The aim of this research is to explain the indicators of urban morphology based on sustainable development and evaluate the level of sustainability of neighborhoods based on these indicators. The present research is of a research-applied type. The indicators used in the research are building age, building materials, building quality, fractal index, texture status index, sky view factor (SVF), proximity to the main street, proximity to public transportation, proximity to shopping centers, proximity to Education centers, Normalized difference vegetation index (NDVI), Land Surface Temperature (LST) and Land Use Mixing. The results determined that Gol Park, Valiasr 1, Valiasr 3, Baghmishe Ghadim 3 are the neighborhoods with sustainable morphology. Also, Golkar, Valiasr 2, Kalantar Koocheh, Sangi Pol 1 and 2, Baghmishe Ghadim 1 and 2, Bilanko 1 and 2 are the neighborhoods with semi-sustainable morphology. In addition, the neighborhoods of Shahid Beheshti, Mullah Zeinal 1 and 2, Idealo 1 and 2, Yousefabad 1 to 3, Ghoshtkhaneh seylab 1 to 3, Valiasr 4, Abbasi 1 and 2 are the neighborhoods with unsustainable morphology. The results showed that neighborhoods with high social and economic status are generally sustainable neighborhoods and neighborhoods with low social and economic status and informal settlements including Shahid Beheshti alley, Mullah Zinal 1 and 2, Ideolo 1 and 2, Yousefabad 1 to 3, Ghoshtkhaneh seylab is 1 to 3, they are unsustainable. The total number of people living in neighborhoods with sustainable, semi-sustainable, and unsustainable morphology is 46.544, 79.603, and 89.851, respectively. Based on the results, texture status index, NDVI, and proximity to public transportation with weights of 0.18335, 0.12975, and 0.11036, respectively, are three essential indicators in explaining urban morphology

Electrochemical determination of microRNAs based on isothermal strand-displacement polymerase reaction coupled with multienzyme functionalized magnetic micro-carriers

This study was supported by the National Natural Science Foundation of China (81371901), Doctoral Scientific Fund Project of the Ministry of Education of People's Republic of China (20134433110010), the Critical Point-of-Care Testing (CPOCT) Research grant of American Association for Clinical Chemistry (AACC) and 2015 Distinguished Academic Fellowships of Royal College of Engineering (DVF1415/2/79)

Sniffer dogs as a screening/diagnostic tool for COVID-19: a proof of concept study

Background: Sniffer dogs are able to detect certain chemical particles and are suggest to be capable of helping diagnose some medical conditions and complications, such as colorectal cancer, melanoma, bladder cancer, and even critical states such as hypoglycemia in diabetic patients. With the global spread of COVID-19 throughout the world and the need to have a real-time screening of the population, especially in crowded places, this study aimed to investigate the applicability of sniffer dogs to carry out such a task. Methods: Firstly, three male and female dogs from German shepherd (Saray), German black (Kuzhi) and Labrador (Marco) breeds had been intensively trained throughout the classical conditioning method for 7 weeks. They were introduced to human specimens obtained from the throat and pharyngeal secretions of participants who were already reported positive or negative for SARS-COV-2 infection be RT-PCR. Each dog underwent the conditioning process for almost 1000 times. In the meantime another similar condition process was conducted on clothes and masks of COVID-19 patient using another three male and female dogs from Labrador (Lexi), Border gypsy (Sami), and Golden retriever (Zhico) breeds. In verification test for the first three dogs, 80 pharyngeal secretion samples consisting of 26 positive and 54 negative samples from different medical centers who underwent RT-PCR test were in a single-blind method. In the second verification test for the other three dogs, masks and clothes of 50 RT-PCR positive and 70 RT-PCR negative cases from different medical center were used. Results: In verification test using pharyngeal secretion, the sniffer dogs� detection capability was associated with a 65 of sensitivity and 89 of specificity and they amanged to identify 17 out of the 26 positive and 48 out of the 54 true negative samples. In the next verification test using patients� face masks and clothes, 43 out of the 50 positive samples were correctly identified by the dogs. Moreover, out of the 70 negative samples, 65 samples were correctly found to be negative. The sensitivity of this test was as high as 86 and its specificity was 92.9. In addition, the positive and negative predictive values were 89.6 and 90.3, respectively. Conclusion: Dogs are capable of being trained to identify COVID-19 cases by sniffing their odour, so they can be used as a reliable tool in limited screening. © 2021, The Author(s)

Global, regional, and national age-specific progress towards the 2020 milestones of the WHO End TB Strategy: a systematic analysis for the Global Burden of Disease Study 2021

Background Global evaluations of the progress towards the WHO End TB Strategy 2020 interim milestones on mortality (35% reduction) and incidence (20% reduction) have not been age specific. We aimed to assess global, regional, and national-level burdens of and trends in tuberculosis and its risk factors across five separate age groups, from 1990 to 2021, and to report on age-specific progress between 2015 and 2020. Methods We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2021 (GBD 2021) analytical framework to compute age-specific tuberculosis mortality and incidence estimates for 204 countries and territories (1990–2021 inclusive). We quantified tuberculosis mortality among individuals without HIV co-infection using 22 603 site-years of vital registration data, 1718 site-years of verbal autopsy data, 825 site-years of sample-based vital registration data, 680 site-years of mortality surveillance data, and 9 site-years of minimally invasive tissue sample (MITS) diagnoses data as inputs into the Cause of Death Ensemble modelling platform. Age-specific HIV and tuberculosis deaths were established with a population attributable fraction approach. We analysed all available population-based data sources, including prevalence surveys, annual case notifications, tuberculin surveys, and tuberculosis mortality, in DisMod-MR 2.1 to produce internally consistent age-specific estimates of tuberculosis incidence, prevalence, and mortality. We also estimated age-specific tuberculosis mortality without HIV co-infection that is attributable to the independent and combined effects of three risk factors (smoking, alcohol use, and diabetes). As a secondary analysis, we examined the potential impact of the COVID-19 pandemic on tuberculosis mortality without HIV co-infection by comparing expected tuberculosis deaths, modelled with trends in tuberculosis deaths from 2015 to 2019 in vital registration data, with observed tuberculosis deaths in 2020 and 2021 for countries with available cause-specific mortality data. Findings We estimated 9·40 million (95% uncertainty interval [UI] 8·36 to 10·5) tuberculosis incident cases and 1·35 million (1·23 to 1·52) deaths due to tuberculosis in 2021. At the global level, the all-age tuberculosis incidence rate declined by 6·26% (5·27 to 7·25) between 2015 and 2020 (the WHO End TB strategy evaluation period). 15 of 204 countries achieved a 20% decrease in all-age tuberculosis incidence between 2015 and 2020, eight of which were in western sub-Saharan Africa. When stratified by age, global tuberculosis incidence rates decreased by 16·5% (14·8 to 18·4) in children younger than 5 years, 16·2% (14·2 to 17·9) in those aged 5–14 years, 6·29% (5·05 to 7·70) in those aged 15–49 years, 5·72% (4·02 to 7·39) in those aged 50–69 years, and 8·48% (6·74 to 10·4) in those aged 70 years and older, from 2015 to 2020. Global tuberculosis deaths decreased by 11·9% (5·77 to 17·0) from 2015 to 2020. 17 countries attained a 35% reduction in deaths due to tuberculosis between 2015 and 2020, most of which were in eastern Europe (six countries) and central Europe (four countries). There was variable progress by age: a 35·3% (26·7 to 41·7) decrease in tuberculosis deaths in children younger than 5 years, a 29·5% (25·5 to 34·1) decrease in those aged 5–14 years, a 15·2% (10·0 to 20·2) decrease in those aged 15–49 years, a 7·97% (0·472 to 14·1) decrease in those aged 50–69 years, and a 3·29% (–5·56 to 9·07) decrease in those aged 70 years and older. Removing the combined effects of the three attributable risk factors would have reduced the number of all-age tuberculosis deaths from 1·39 million (1·28 to 1·54) to 1·00 million (0·703 to 1·23) in 2020, representing a 36·5% (21·5 to 54·8) reduction in tuberculosis deaths compared to those observed in 2015. 41 countries were included in our analysis of the impact of the COVID-19 pandemic on tuberculosis deaths without HIV co-infection in 2020, and 20 countries were included in the analysis for 2021. In 2020, 50 900 (95% CI 49 700 to 52 400) deaths were expected across all ages, compared to an observed 45 500 deaths, corresponding to 5340 (4070 to 6920) fewer deaths; in 2021, 39 600 (38 300 to 41 100) deaths were expected across all ages compared to an observed 39 000 deaths, corresponding to 657 (–713 to 2180) fewer deaths. Interpretation Despite accelerated progress in reducing the global burden of tuberculosis in the past decade, the world did not attain the first interim milestones of the WHO End TB Strategy in 2020. The pace of decline has been unequal with respect to age, with older adults (ie, those aged >50 years) having the slowest progress. As countries refine their national tuberculosis programmes and recalibrate for achieving the 2035 targets, they could consider learning from the strategies of countries that achieved the 2020 milestones, as well as consider targeted interventions to improve outcomes in older age groups

Impact of Caffeine on Weight Changes Due to Ketotifen Administration

Purpose: Prescription of ketotifen as an effective antihistamine in asthma and allergic conditions is associated with side effect of weight gain. Caffeine is an agent which increases thermogenesis and improves energy expenditure and also effective in asthma. The aim of current study was to evaluate caffeine impact in reducing weight gain side effect of ketotifen. Methods: Male mice at the weight limit of 20-30 g in 8 groups were randomly chosen and injected following drug dosages for 45 days intraperitoneally: control group (normal saline 10 ml/kg), three groups of ketotifen (4, 8, 16 mg/kg), three groups of caffeine (4, 8, 16 mg/kg) and one group of ketotifen (4 mg/kg) in combination with caffeine (4 mg/kg). Weight changes have been recorded and assessed every 3 days for 45 days. Results: The results showed that in all dosages of the two drugs, significant weight loss occurred in comparison with the control group. Conclusion: The effect of caffeine on weight loss according to our results, matches with human studies, while ketotifen contradictory to our assumption, resulted in weight loss which probably was related to the difference in metabolic pathways in mice and humans, or maybe the used doses of ketotifen in this study were insufficient to reduce TNF-α production or influence in serotonin release and be effective on appetite or weight gain