Comparison of Caralluma tuberculata with Metformin for Anti-Diabetic Activity: An Animal Study

Background: Caralluma tuberculata, is a wild herb, which grows in the hills of Balochistan and has been known to have medicinal and nutritional properties since antiquity. This experimental research was designed to study the hypoglycemic properties of Caralluma tuberculata and to compare them with Metformin.Material and Methods: This was a laboratory-based animal experimental study. It was conducted in the Pharmacology laboratory of Khyber Medical University, Peshawar from February 2016 to August 2016. Two types of extracts of Caralluma tuberculata [crude extract and carbon tetrachloride (CCl4) extract] were prepared and administered to normal and alloxan treated diabetic rabbits. To study anti-diabetic activity, eighty-four rabbits were divided into two main groups. Group I (Normal/Non-Diabetic Rabbits; n= 21) and Group II (Diabetic/Alloxanized Rabbits; n=63). Each group was further divided into sub-groups (7 rabbits in each). Effect of Caralluma tuberculata, Metformin and 2% gum tragacanth on blood glucose levels were checked at 0, 2, 4, 6, 8, 12 and 24 hours of drug administration. The extracts were given in capsule form and in cooking oil. Data analysis was done using SPSS version 16. For calculation and comparison of the hypoglycemic effects at various doses and different time intervals, analysis of variance (ANOVA) and Tukey’s post hoc test were applied.Results: The crude extract, 200mg/kg body weight of Caralluma tuberculata showed significant decrease (p<0.001) in mean blood glucose levels from 2-hour till12 hours. Whereas, highly significant reduction of blood glucose was seen from 2 hours after treatment till 24 hours, when carbon tetrachloride (CCl4) fraction of Caralluma (100mg/kg body weight) in capsule form was administered. Metformin 500mg/kg body weight was given to compare its effects with plant crude extract and it was found that metformin appeared to be less effective in comparison with Caralluma tuberculata.Conclusion: Caralluma tuberculata lowered the blood glucose level and turned out to be more significant in developing hypoglycemia when taken with cooking oil. More work is essential to provide stronger evidence for the use of this natural agent in the management of Diabetes Mellites

Political communication of the Prime Minister of Malaysia Anwar Ibrahim on Twitter

Globalisation, information, and communication technology have changed human communication. The internet gave birth to social media and a new communication trend. Digital, such as computer-mediated, communication replaces traditional communication. Face-to-face communication can now be done via social media, which blurs space and time. The benefit is that social media is not controlled by mainstream media, which decides what to publish. Social media lets any communication actor broadcast messages to the public at any time. Some communication actors are government officials, or political actors. Anwar Ibrahim, the prime minister, wants to build political trust and support through vertical and horizontal political communication. Anwar Ibrahim regularly uses Twitter to engage with residents, show his actions, and express his attitude, commitment, and government vision. Politicians must adjust to social media's power. This study uses Nvivo 12 Pro for social media analysis. According to Nvivo, Anwar Ibrahim's political communication concentrated on his actions, government matters, political affairs, and maintaining his relationship with citizens and the king

A niche particle swarm optimization-perks and perspectives

Optimization is a method for searching the best candidate solution to lessen or expand the value of the objective problem. Broadly speaking algorithms can be orgabized into four main classes, i.e. biology-based algorithms, physics-based algorithms, sociology-based algorithms, and human intelligence-based algorithms. Swarm-intelligence (SI) based algorithms appeared as a commanding family of optimization techniques. The paper aims to commence a brief review of meta-heuristic algorithms especially Particle swarm optimization (PSO) and its sister variants in short. The understudy paper covers all important aspects of swarm intelligence PSO with deep insight learning for practitioners and scholars

Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis

BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London