Big data analytics:Computational intelligence techniques and application areas

Big Data has significant impact in developing functional smart cities and supporting modern societies. In this paper, we investigate the importance of Big Data in modern life and economy, and discuss challenges arising from Big Data utilization. Different computational intelligence techniques have been considered as tools for Big Data analytics. We also explore the powerful combination of Big Data and Computational Intelligence (CI) and identify a number of areas, where novel applications in real world smart city problems can be developed by utilizing these powerful tools and techniques. We present a case study for intelligent transportation in the context of a smart city, and a novel data modelling methodology based on a biologically inspired universal generative modelling approach called Hierarchical Spatial-Temporal State Machine (HSTSM). We further discuss various implications of policy, protection, valuation and commercialization related to Big Data, its applications and deployment

Development and evaluation of biodegradable controlled release microspheres of venlafaxine

  In this study we developed and evaluated stable, biodegradable microspheres for controlled release of venlafaxine. For this purpose, polycaprolactone, a hydrophobic polymer was used in different ratios. Following are the drug to polymer ratios P1 (1:1), P2 (1:1.5), P3 (1:2), P4 (1:2.5) and P5 (1:3); employed to develop controlled release microspheres. Drug loading efficiency increased with increasing quantity of polycaprolactone. The mechanism of venlafaxine release was studied by applying First order, Zero order, Higuchi’s, Hixon-Crowell and korsmeyer-Peppas models to dissolution data. Higuchi model was found the best fit model followed by First order release. The mechanism of release was non-Fickian diffusion. All formulations showed an initial burst of 69.53%, 62.37%, 55.45%, 53.76% and 49.32% from P1, P2, P3, P4 and P5 formulations, respectively at the end of 1st h dissolution. P5 was the superior formulation in terms of reduced initial burst and after which sustained release occurred up to 8 hours. The developed microspheres were characterized by Fourier transform infra-red spectroscopy, scanning electron spectroscopy, differential scanning calorimetry and thermogravimetric analysis

Influence of Periodic Administration of Garlic Extract on Blood Parameters of Grazing Lambs

The study was carried out to investigate the effects of periodic  administration of garlic extract drench on haematology and serum biochemistry of grazing lambs. Twelve West African dwarf sheep with an average weight of 12.00 ±0.77 kg were allotted to 3 treatment groups with 4 animals per group in a completely randomized design which lasted for 10 weeks. Treatment 1 (T1) served as control with no garlic extract, Treatment (T2) were given 5ml garlic extract weekly and Treatment T3 received 5ml garlic extract every 2 weeks. Results of haematological analysis showed that PCV significantly (P<0.05) differs among treatment groups while RBC, MCV, WBC, LYM and GRA all show no significant (P>0.05) difference. The lowest PCV of 19.68% was observed in T1 while T2 recorded the highest PCV of 29.68%. The results from serum biochemical indices shows that cholesterol and ALT differ significantly (P<0.05) among treatment groups while total protein, albumin, globulin, glucose, urea and AST all show no significant (P>0.05) difference among treatment means. The lowest serum cholesterol value of 0.78 was observed in T2 while the control group  recorded the highest value of 1.30. The study suggests that garlic extract could be used to reduce the level of serum cholesterol in grazing lamb thereby improving meat quality.Keywords: Garlic Extract, West African Dwarf Sheep, Haematology, Biochemistry

Effect of &#946-Glucuronidase on Extraction Efficiency of Silymarin from Human Plasma Samples Using Validated HPLC-UV Analysis

Purpose: To investigate the effect of β-glucuronidase on the extraction efficiency of silymarin (mainly as silybin) from spiked human plasma using a sensitive and reproducible high performance liquid chromatography (HPLC) method.Methods: The importance of β-glucuronidase was evaluated by comparing the extraction efficiency of silymarin in β-glucuronidase-treated and untreated plasma samples. Isocratic HPLC with simple UV detection (288 nm) was applied to analyze the major silymarin components using Thermo-Electron C18 column (200 mm, 4.6 mm I.D., 5μm particle size). The mobile phase, consisting of methanol and 20 mM potassium dihydrogen phosphate buffer (50:50 v/v pH 2.8), was pumped at 1 ml/min.Results: The mean extraction efficiency was 98.97 % (CV = 1.69 %) for treated and 40.88 % (CV = 2.77 %) for untreated plasma samples, compared with nominal concentrations.Conclusion: The studied method showed 60 % reduced extraction efficiency of untreated samples compared to treated samples.Keywords: Silymarin, Silybin, Extraction Efficiency, β-glucuronidase, HPL

Presence and Dispersion of Organic and Inorganic Contaminants in Groundwater

This paper offers an extensive examination of studies published in the recent past and highlights the documented issues surrounding groundwater pollution, its sources, and distribution worldwide. The depletion of groundwater resources and the deteriorating overall quality present a significant cause for concern, particularly as a large human population relies on groundwater as a drinking water source. The review focuses on various factors contributing to groundwater pollution, including anthropogenic activities, hydro climatological influences, and natural processes. Special attention is given to organic contaminants such as pesticides, herbicides, and emerging pollutants, which have been found to have a substantial impact on groundwater quality. Additionally, the review covers pollution caused by inorganic pollutants like arsenic and other heavy metals, with a particular emphasis on regions experiencing a higher incidence of these contaminants in groundwater. Furthermore, the paper includes a compilation of studies that highlight the increased occurrence of waterborne illnesses resulting from fecal and microbial contamination, often caused by inadequate sanitary practices. To provide a comprehensive understanding of the global groundwater pollution problem, the review also encompasses an examination of contaminants like fluoride and nitrate

Influence of Periodic Administration of Garlic Extract on Blood Parameters of Grazing Lambs

The study was carried out to investigate the effects of periodic administration of garlic extract drench on haematology and serum biochemistry of grazing lambs. Twelve West African dwarf sheep with an average weight of 12.00 \ub10.77 kg were allotted to 3 treatment groups with 4 animals per group in a completely randomized design which lasted for 10 weeks. Treatment 1 (T1) served as control with no garlic extract, Treatment (T2) were given 5ml garlic extract weekly and Treatment T3 received 5ml garlic extract every 2 weeks. Results of haematological analysis showed that PCV significantly (P<0.05) differs among treatment groups while RBC, MCV, WBC, LYM and GRA all show no significant (P>0.05) difference. The lowest PCV of 19.68% was observed in T1 while T2 recorded the highest PCV of 29.68%. The results from serum biochemical indices shows that cholesterol and ALT differ significantly (P<0.05) among treatment groups while total protein, albumin, globulin, glucose, urea and AST all show no significant (P>0.05) difference among treatment means. The lowest serum cholesterol value of 0.78 was observed in T2 while the control group recorded the highest value of 1.30. The study suggests that garlic extract could be used to reduce the level of serum cholesterol in grazing lamb thereby improving meat quality

Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Background: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods: GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings: Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990–2010 time period, with the greatest annualised rate of decline occurring in the 0–9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10–24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10–24 years were also in the top ten in the 25–49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50–74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation: As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and developm nt investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Funding: Bill & Melinda Gates Foundation. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licens

Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018

Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results demonstrate widespread moderate improvements in overall anemia prevalence but identify only three LMICs with a high probability of achieving the WHO GNT by 2030 at a national scale, and no LMIC is expected to achieve the target in all their subnational administrative units. Our maps show where large within-country disparities occur, as well as areas likely to fall short of the WHO GNT, offering precision public health tools so that adequate resource allocation and subsequent interventions can be targeted to the most vulnerable populations.Peer reviewe

Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018

Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results demonstrate widespread moderate improvements in overall anemia prevalence but identify only three LMICs with a high probability of achieving the WHO GNT by 2030 at a national scale, and no LMIC is expected to achieve the target in all their subnational administrative units. Our maps show where large within-country disparities occur, as well as areas likely to fall short of the WHO GNT, offering precision public health tools so that adequate resource allocation and subsequent interventions can be targeted to the most vulnerable populations