Lung penetration, bronchopulmonary pharmacokinetic/pharmacodynamic profile and safety of 3 g of ceftolozane/tazobactam administered to ventilated, critically ill patients with pneumonia

Objectives: Ceftolozane/tazobactam is approved for hospital-acquired/ventilator-associated bacterial pneumonia at double the dose (i.e. 2 g/1 g) recommended for other indications. We evaluated the bronchopulmonary pharmacokinetic/pharmacodynamic profile of this 3 g ceftolozane/tazobactam regimen in ventilated pneumonia patients. Methods: This was an open-label, multicentre, Phase 1 trial (clinicaltrials.gov: NCT02387372). Mechanically ventilated patients with proven/suspected pneumonia received four to six doses of 3 g of ceftolozane/tazobactam (adjusted for renal function) q8h. Serial plasma samples were collected after the first and last doses. One bronchoalveolar lavage sample per patient was collected at 1, 2, 4, 6 or 8 h after the last dose and epithelial lining fluid (ELF) drug concentrations were determined. Pharmacokinetic parameters were estimated by noncompartmental analysis and pharmacodynamic analyses were conducted to graphically evaluate achievement of target exposures (plasma and ELF ceftolozane concentrations >4 mg/L and tazobactam concentrations >1 mg/L; target in plasma: similar to 30% and similar to 20% of the dosing interval, respectively). Results: Twenty-six patients received four to six doses of study drug; 22 were included in the ELF analyses. Ceftolozane and tazobactam T-max (6 and 2 h, respectively) were delayed in ELF compared with plasma (1h). Lung penetration, expressed as the ratio of mean drug exposure (AUC) in ELF to plasma, was 50% (ceftolozane) and 62% (tazobactam). Mean ceftolozane and tazobactam ELF concentrations remained >4 mg/L and >1mg/L, respectively, for 100% of the dosing interval. Therewere no deaths or adverse event-related study discontinuations. Conclusions: In ventilated pneumonia patients, 3 g of ceftolozane/tazobactam q8h yielded ELF exposures considered adequate to cover ceftolozane/tazobactam-susceptible respiratory pathogens

Evaluation of climate variability impact on sources of water supply

Climate is a key factor in water availability and accessibility on both the earth surface and below the earth surface. The study evaluated climate variability impact on sources of water supply in Offa, Kwara State, Nigeria. The study utilized both primary and secondary source of data. Household proximity to water sources was computed using the percentages of household that falls within the basic indicator for measuring water access by World Health Organization. Correlation and multiple regression analyses were used to determine the relationship between the climatic variables and water supply; and groundwater level in the study area. Pearson Product Moment Correlation was employed to establish the association between climate and water supply; and groundwater level. Multiple regression analysis was used to examine the relationship between water supply and the selected climatic variables. Trend analysis was used to determine the trend of the selected climatic variables in the study area. The result revealed that rainfall amount, minimum and maximum temperature, and evaporation exhibit an upward trend which are not statistically significant. The fluctuating trend in these climatic variables, though not statistically significant are probably related to the already established changes in climatic parameters in Nigeria. The result also showed that the spatial distributions of public boreholes in the study area are heterogeneous in nature. The study recommended that the clustering of water sources, especially the shallow wells should be discouraged to avoid over abstraction of groundwater in the study area

Attitude of undergraduate students to information literacy: Bowen University experience

The study investigated the rationale behind undergraduates’ apathy for information literacy (IL) programme at Bowen University, Nigeria. A descriptive survey design was adopted for the study and a multi-stage sampling method was used to select a sample size of five hundred participants spread across disciplines and levels of study. A questionnaire containing closeended, structured items was used to gather data from the respondents and descriptive analyses, including percentages and frequency count were used to analyse the data collected. Three research questions were developed and answered and three research hypotheses were tested through the instrument. Results show that students’ attitude to information literacy significantly influences their information literacy skill and students’ perception of information literacy significantly influences their information literacy skills. Although perception of IL does not predict influence of IL on students, attitude to IL determines the influence of IL on students’ information literacy skills. The study further revealed that the erroneous equation of technology literacy with information literacy was largely responsible for students' lukewarm disposition to information literacy. The study concludes by recommending a paradigm shift from the traditional teaching delivery to a technology-driven, interactive pedagogy that will ginger the interest of the students and thus effect the desired attitudinal change to IL

Capital Flight and the Economic Growth: Evidence from Nigeria

This research examined the impact of capital flight and its determinants on the Nigerian economy using the Autoregressive Distributed Lag (ARDL) model to analyze data source from the period of 1981 to 2015. The variables included current account balance, capital flight, foreign direct investments, foreign reserve, inflation rate, external debt, and the real gross domestic product. It was to examine the existence of a long run relationship among the variables studied. The result indicates that capital flight has a negative impact on the economic growth of Nigeria. Therefore, the government needs to implement policies that will promote domestic investment and discourage capital flight from Nigeria

Decoding machine learning benchmarks

Despite the availability of benchmark machine learning (ML) repositories (e.g., UCI, OpenML), there is no standard evaluation strategy yet capable of pointing out which is the best set of datasets to serve as gold standard to test different ML algorithms. In recent studies, Item Response Theory (IRT) has emerged as a new approach to elucidate what should be a good ML benchmark. This work applied IRT to explore the well-known OpenML-CC18 benchmark to identify how suitable it is on the evaluation of classifiers. Several classifiers ranging from classical to ensembles ones were evaluated using IRT models, which could simultaneously estimate dataset difficulty and classifiers' ability. The Glicko-2 rating system was applied on the top of IRT to summarize the innate ability and aptitude of classifiers. It was observed that not all datasets from OpenML-CC18 are really useful to evaluate classifiers. Most datasets evaluated in this work (84%) contain easy instances in general (e.g., around 10% of difficult instances only). Also, 80% of the instances in half of this benchmark are very discriminating ones, which can be of great use for pairwise algorithm comparison, but not useful to push classifiers abilities. This paper presents this new evaluation methodology based on IRT as well as the tool decodIRT, developed to guide IRT estimation over ML benchmarks.Comment: Paper published at the BRACIS 2020 conference, 15 pages, 4 figure

Capital Flight and the Economic Growth: Evidence From Nigeria

This research examined the impact of capital flight and its determinants on the Nigerian economy using the Autoregressive Distributed Lag (ARDL) model to analyze data source from the period of 1981 to 2015. The variables included current account balance, capital flight, foreign direct investments, foreign reserve, inflation rate, external debt, and the real gross domestic product. It was to examine the existence of a long run relationship among the variables studied. The result indicates that capital flight has a negative impact on the economic growth of Nigeria. Therefore, there is a need for government to implement policies that will promote domestic investment and discourage capital flight from Nigeria

The neurobiology of openness as a personality trait

Openness is a multifaceted behavioral disposition that encompasses personal, interpersonal, and cultural dimensions. It has been suggested that the interindividual variability in openness as a personality trait is influenced by various environmental and genetic factors, as well as differences in brain functional and structural connectivity patterns along with their various associated cognitive processes. Alterations in degree of openness have been linked to several aspects of health and disease, being impacted by both physical and mental health, substance use, and neurologic conditions. This review aims to explore the current state of knowledge describing the neurobiological basis of openness and how individual differences in openness can manifest in brain health and disease

Studies on FT-IR Spectroscopy of modified Montmorillonite clays applied for the removal of T-2 toxin in maiz

Montmorillonite clay has a wide range of industrial applications which include the removal of mycotoxins in foods and feed because of its low toxicity both in vitro and in vivo. T-2 toxin is produced mostly by fungal species of Fusarium. Other T-2 producing fungal species are Myrothecium and Stachybotrys. T-2 toxin poses several health hazards such as dystrophy in the brain, heart, kidney and liver as well as ulceration and necrosis of the digestive tract in man and animals. To reduce T-2 toxin in maize, montmorillonite clay modified with lemongrass essential oil (MMT-LGEO) and montmorillonite clay washed with NaCl (Na-MMT) were applied to maize at a concentration of 8% and 12% and kept under storage for one month at 30�C. Untreated maize samples and unmodified montmorillonite clay (MMT) served as controls. The FTIR spectra were recorded for the two treatments and unmodified montmorillonite clay (MMT) used for the removal of T-2 toxin in maize. The FTIR spectra of the two treatments and unmodified clay (MMT) showed the major functional groups as Si-O and -OH. All Montmorillonite clay has a wide range of industrial applications which include the removal of mycotoxins in foods and feed because of its low toxicity both in vitro and in vivo. T-2 toxin is produced mostly by fungal species of Fusarium. Other T-2 producing fungal species are Myrothecium and Stachybotrys. T-2 toxin poses several health hazards such as dystrophy in the brain, heart, kidney and liver as well as ulceration and necrosis of the digestive tract in man and animals. To reduce T-2 toxin in maize, montmorillonite clay modified with lemongrass essential oil (MMT-LGEO) and montmorillonite clay washed with NaCl (Na-MMT) were applied to maize at a concentration of 8% and 12% and kept under storage for one month at 30�C. Untreated maize samples and unmodified montmorillonite clay (MMT) served as controls. The FTIR spectra were recorded for the two treatments and unmodified montmorillonite clay (MMT) used for the removal of T-2 toxin in maize. The FTIR spectra of the two treatments and unmodified clay (MMT) showed the major functional groups as Si-O and -OH. All the treatments reduced the level of T-2 toxin in maize. However, sodium montmorillonite (Na-MMT) and montmorillonite clay modified with lemongrass essential oil (MMT-LGEO) were more efficient than unmodified montmorillonite clay (MMT) in the removal of T-2 toxin in maizethe treatments reduced the level of T-2 toxin in maize. However, sodium montmorillonite (Na-MMT) and montmorillonite clay modified with lemongrass essential oil (MMT-LGEO) were more efficient than unmodified montmorillonite clay (MMT) in the removal of T-2 toxin in maiz

An Assessment of the UK’s Trade with Developing Countries under the Generalised System of Preferences

The European Union (EU) Generalised System of Preferences (GSP Scheme) grants preferential treatment to 88 eligible countries. There are, however, concerns that the restrictive features (such as Rules of Origin, Low Preference Margin and Low Coverage) of the existing scheme indicate gravitation towards commercial trade agenda to which efficiency imperatives appear subordinated. Whether these concerns are genuine is an empirical question whose answer largely determines whether, after Brexit, the UK continues with the existing specifics of the EU scheme or develops a more inclusive UK-specific GSP framework. This study quantitatively examines the efficiency of the EU GSP as it relates to UK beneficiaries from 2014 to 2017. We draw on the descriptive efficiency estimation (The utilisation Rate, Potential Coverage Rate, and the Utility Rate) using import data across 88 beneficiary countries and agricultural products of the Harmonised System Code Chapter 1 to 24. Asides the Rules of Origin that, generally, harm the uptake of GSP, low preference margin is found to cause low utilisation rates in a non-linear manner. Essentially, a more robust option (such that allows “global Cumulation” or broader product coverage) could, substantially, lower the existing barriers to trade and upsurge the efficiency of the GSP scheme