Uptake of hepatitis B vaccination and associated factors among health sciences students, Mogadishu, Somalia.

Background: Hepatitis B is a potentially fatal liver infection caused by the hepatitis B virus (HBV). It is a serious issue for global health. It considerably raises the risk of cirrhosis and liver cancer-related death and can result in chronic infection. The risk of infection is high among health sciences students due to the risk of occupational contact with fluids of infected patients and the risk of needle stick injury. The most effective way of preventing HBV infection is the vaccination of students prior to their posting to healthcare settings. There is no data available about HBV vaccination uptake among Health Sciences students in Somalia. Therefore, this study aimed to determine HBV vaccination uptake and associated factors toward HBV among health science students in Somalia. Methods: A cross-sectional study was undertaken among health sciences students from August to October 2022. Data were gathered using Kobo Toolbox using a standardized questionnaire with questions on characteristics, knowledge attitude, and HBV prevention practices. A total of 569 students were involved in the study. Stata version 15 was utilized for the analysis. Bivariate and multivariate logistic regression analysis, as well as descriptive statistics, were performed. In order to assess the existence and significance of the relationship between the outcome and risk factors, an adjusted odds ratio with a 95% confidence interval (CI) was used. Statistical significance was considered as a p-value ≤0.05. Results: Of the 569 study participants, 33.4% (95%CI: 29.6-37.4) received a full dose of the HBV vaccine in this study. Participants had good HBV prevention knowledge, attitudes, and practices at 69.6, 37.96, and 50.6%, respectively. The lack of access and the high cost of the vaccine were the reasons for not taking the vaccine. Second-year [AOR: 0.22 (0.12-0.43)]. Positive attitude [AOR: 0.54 (0.31-0.93)], and good practice [AOR: 6.99 (3.62-13.5)]. Discussion: The study indicated that 33.4% of health sciences students had received the required HBV vaccination doses, academic year, attitude, and practice were significantly associated with full-dose vaccination status. The unavailability of the vaccine and the high cost of vaccination were the most common reasons for not taking the vaccine. It is recommended that students receive vaccinations before beginning clinical rotations, and give instruction on infection prevention strategies and general precautions, particularly regarding HBV infection.

The growing influence of industry in AI research.

Industry is gaining control over the technology's future.

Seroprevalence of anti-Toxoplasma gondii antibodies and associated risk factors in pregnant women in Somalia.

Toxoplasma gondii infection is a worldwide protozoan parasitic disease caused by the parasite Toxoplasma gondii. T. gondii infection in gestation period can lead to fetal or neonatal death, and besides congenital defects. So far, there are no data available regarding T. gondii seropositivity and associated risk factors in pregnant women in Somalia. The investigations of these aspects were done in 403 pregnant women attending the antenatal care (ANC) at Benadir hospital, in Mogadishu city. Blood samples were collected and analyzed for anti-T. gondii antibodies by enzyme-linked immunosorbent assay (ELISA). IgG seropositivity to T. gondii was 45.2% (182/403). None of the women were positive for IgM antibodies. Considering the first, second, and third trimesters of pregnancy, women IgG seropositivity was 44.2%, 26.3%, and 67.7%, respectively (p < 0.05). There was no significant association between seropositivity and age, sociodemographic features, history of abortion, presence of cats in house, contact cats feces, contact with soil, consumption of raw vegetables/meats, blood transfusion, and drinking of unboiled milk (p>0.05). Routine serological screening for T. gondii should be integrated with other ANC services to identify potential infections with the parasite.

Using δ18 O and δ2 H to Detect Hydraulic Connection Between a Sinkhole Lake and a First-Magnitude Spring.

Oxygen and hydrogen isotopes were used in this study to detect a hydraulic connection between a sinkhole lake and a karst spring. In karst areas, surface water that flows to a lake can drain through sinkholes in the lakebed to the underlying aquifer, and then flows in karst conduits and through aquifer matrix. At the study site located in northwest Florida, USA, Lake Miccosukee immediately drains into two sinkholes. Results from a dye tracing experiment indicate that lake water discharges at Natural Bridge Spring, a first-magnitude spring 32 km downgradient from the lake. By collecting weekly water samples from the lake, the spring, and a groundwater well 10 m away from the lake during the dry period between October 2019 and January 2020, it was found that, when rainfall effects on isotopic signature in spring water are removed, increased isotope ratios of spring water can be explained by mixing of heavy-isotope-enriched lake water into groundwater, indicating hydraulic connection between the lake and the spring. Such a detection of hydraulic connection at the scale of tens of kilometers and for a first-magnitude spring has not been previously reported in the literature. Based on the isotope ratio data, it was estimated that, during the study period, about 8.5% the spring discharge was the lake water that drained into the lake sinkholes.

Farmer's behavior in pesticide use: Insights study from smallholder and intensive agricultural farms in Bangladesh.

Since independence and over the years, pesticides have become a dominant feature of Bangladesh agriculture. To protect farmers' health, environment and to improve sustainability of chemical pest control quantitative understanding of farmers' behavior in pesticide use is critical. However, study on the levels of knowledge and awareness of farmers and the practices of pesticide use are often limited. We conducted a broad analysis on the effects of knowledge and awareness of farmers as well as the influence of the different associated stakeholders such as pesticide retailers and the government, on farmers' behavior in pesticide use from a detailed survey of 917 agricultural households in different regions of Bangladesh. Within eight protective behaviors (PBs) or PPEs were largely influenced by the crops growers and regions. Never discarding empty pesticide containers in the field, never applying pesticides more than prescribed by DAE or the instruction manual, selecting new types of pesticides recommended by DAE and purchasing low toxicity pesticides were the most adopted practices. Most farmers from the South-East region were adopting the PB of wearing mask, gloves and long sleeved clothes when spraying and farmers from South trusted the recommendations of pesticides by village leaders and neighbors. Majority of vegetables growers were well informed that pesticides were very harmful to the quality of agricultural products, the environment, and human health but not rice or mixed crops growers. Generally, PBs were positively affected by the perception of the consequences of farmers' behavior and knowledge of pesticide use but negatively influenced by action of governments and trust of retailers. It is important to recognize the differences that exist among different crops growers and locations. Attempt needs to bridge the gap among crop growers, locations and different stakeholder such as government agencies and retailers to develop policy.

Exploring biostimulation of plant hormones and nitrate supplement to effectively enhance biomass growth and lutein production with thermo-tolerant Desmodesmus sp. F51.

In this study, the interactive effect of plant hormone-salicylic acid and succinic acid on biomass growth, lutein content, and productivity of Desmodesmus sp. F51 were investigated. The results demonstrated that the synergistic action of salicylic acid and succinic acid could effectively enhance the assimilation of nitrate and significantly improve lutein production. The maximal lutein content 7.01 mg/g and productivity 5.11 mg/L/d could be obtained with a supplement of 100 µM salicylic acid and 2.5 mM succinic acid in batch culture. Furthermore, operation strategy of nitrate fed-batch coupled with supplementation for succinic acid and salicylic acid resulted in further enhancement of lutein content and productivity by 7.50 mg/g and 5.78 mg/L/d, respectively. The performance is better than most of the previously reported values.

Comparison of physics-based and data-driven modelling techniques for dynamic optimisation of fed-batch bioprocesses.

The development of digital bioprocessing technologies is critical to operate modern industrial bioprocesses. This study conducted the first investigation on the efficiency of using physics-based and data-driven models for the dynamic optimisation of long-term bioprocess. More specifically, this study exploits a predictive kinetic model and a cutting-edge data-driven model to compute open-loop optimisation strategies for the production of microalgal lutein during a fed-batch operation. Light intensity and nitrate inflow rate are used as control variables given their key impact on biomass growth and lutein synthesis. By employing different optimisation algorithms, several optimal control sequences were computed. Due to the distinct model construction principles and sophisticated process mechanisms, the physics-based and the data-driven models yielded contradictory optimisation strategies. The experimental verification confirms that the data-driven model predicted a closer result to the experiments than the physics-based model. Both models succeeded in improving lutein intracellular content by over 40% compared to the highest previous record; however, the data-driven model outperformed the kinetic model when optimising total lutein production and achieved an increase of 40-50%. This indicates the possible advantages of using data-driven modelling for optimisation and prediction of complex dynamic bioprocesses, and its potential in industrial bio-manufacturing systems.

Enhancement of cell growth and phycocyanin production in Arthrospira (Spirulina) platensis by metabolic stress and nitrate fed-batch.

Arthrospira (Spirulina) platensis is known to have high-quality proteins content and phycocyanin as one of the major pigment constituents of the cells, and the most challenging problem associated with phycocyanin production in Arthrospira is to optimize its intracellular accumulation. The present study evaluated the metabolic stress conditions (by nutrient enrichment) of Arthrospira platensis FACHB-314 for boosting biomass growth and high content phycocyanin accumulation. Experimental results showed that 5 mM sodium glutamate and 7.5 mM succinic acid could enhance biomass yield as well as phycocyanin accumulation compared with that of the control groups. The present study demonstrates that the biomass growth and phycocyanin accumulation were significantly enhanced in fed-batch cultivation of Arthrospira platensis by applying the substrates as metabolic stress agents combined with nitrate feeding strategy. cobA/hemD, hemG and ho genes presented the over-expression level with adding sodium glutamate and succinic acid in cultures, respectively, compared to the control groups.

An efficient model construction strategy to simulate microalgal lutein photo-production dynamic process.

Lutein is a high-value bioproduct synthesized by microalga Desmodesmus sp. It has great potential for the food, cosmetics, and pharmaceutical industries. However, in order to enhance its productivity and to fulfil its ever-increasing global market demand, it is vital to construct accurate models capable of simulating the entire behavior of the complicated dynamics of the underlying biosystem. To this aim, in this study two highly robust artificial neural networks (ANNs) are designed for the first time. Contrary to conventional ANNs, these networks model the rate of change of the dynamic system, which makes them highly relevant in practice. Different strategies are incorporated into the current research to guarantee the accuracy of the constructed models, which include determining the optimal network structure through a hyper-parameter selection framework, generating significant amounts of artificial data sets by embedding random noise of appropriate size, and rescaling model inputs through standardization. Based on experimental verification, the high accuracy and great predictive power of the current models for long-term dynamic bioprocess simulation in both real-time and offline frameworks are thoroughly demonstrated. This research, therefore, paves the way to significantly facilitate the future investigation of lutein bioproduction process control and optimization. In addition, the model construction strategy developed in this research has great potential to be directly applied to other bioprocesses. Biotechnol. Bioeng. 2017;114: 2518-2527. © 2017 Wiley Periodicals, Inc.

Will climate change affect outbreak patterns of planthoppers in Bangladesh?

Recently, planthoppers outbreaks have intensified across Asia resulting in heavy rice yield losses. The problem has been widely reported as being induced by insecticides while other factors such as global warming that could be potential drivers have been neglected. Here, we speculate that global warming may increase outbreak risk of brown planthopper (Nilaparvata lugens Stål.). We present data that demonstrate the relationship between climate variables (air temperature and precipitation) and the abundance of brown planthopper (BPH) during 1998-2007. Data show that BPH has become significantly more abundant in April over the 10-year period, but our data do not indicate that this is due to a change in climate, as no significant time trends in temperature and precipitation could be demonstrated. The abundance of BPH varied considerably between months within a year which is attributed to seasonal factors, including the availability of suitable host plants. On the other hand, the variation within months is attributed to fluctuations in monthly temperature and precipitation among years. The effects of these weather variables on BPH abundance were analyzed statistically by a general linear model. The statistical model shows that the expected effect of increasing temperatures is ambiguous and interacts with the amount of rainfall. According to the model, months or areas characterized by a climate that is either cold and dry or hot and wet are likely to experience higher levels of BPH due to climate change, whereas other combinations of temperature and rainfall may reduce the abundance of BPH. The analysis indicates that global warming may have contributed to the recent outbreaks of BPH in some rice growing areas of Asia, and that the severity of such outbreaks is likely to increase if climate change exaggerates. Our study highlights the need to consider climate change when designing strategies to manage planthoppers outbreaks.

Does insecticide application in a winter oilseed rape field influence the abundance of pollen beetle Meligethes aeneus in nearby ornamental flowers and vegetables?

BACKGROUND: Pollen beetle is a pest that attacks oilseed rape as well as many other brassicaceous crops, garden vegetables and ornamental flowers. The present study was primarily carried out to investigate whether insecticide application in brassicaceous field crops might influence the abundance of pollen beetles in nearby private garden flowers and vegetables. RESULTS: At peak emergence of the new generation of pollen beetles, a significantly higher number of beetles were found in flowers, and in window traps, alongside untreated as opposed to alongside treated sections of the winter oilseed rape (WOSR) field. However, the type of flower played a role in the number of pollen beetles found in the flowers. The presence of pollen beetles in both ornamental and wild flowers was also significantly influenced by the direction of placement of the flowers. No pollen beetle, neither overwintering nor newly emerged, was observed in any of the brassicaceous vegetables placed along the field. CONCLUSION: The number of pollen beetles in the WOSR field strongly influenced the number of pollen beetles in nearby flowers of preference to the beetles, and insecticide treatment with Biscaya (thiacloprid) against pollen beetle in oilseed rape may thus help, indirectly, to protect nearby garden flowers from damage.

Perception of pesticide use by farmers and neighbors in two periurban areas.

Public concern about pesticide use is high although varying with social factors. Individual differences in 'perception' and attitude to pesticide use might be particularly evident in periurban regions where farmers and other people live together. This was investigated using a questionnaire sent to 600 farmers and 600 non-farmers in two periurban areas of Sweden. 'Neighbors'(1) were found to have a more negative attitude to pesticides than farmers, who were slightly positive to the use. Neighbors perceived pesticide use in agriculture to be more harmful to the environment than did farmers and also to reduce the quality of products. Both farmers and neighbors thought that farmers are the predominant users of pesticides. However, reported pesticide users within the home setting were just as common among the neighbors as among the farmers. Perceptions of pesticide use were also found to differ between periurban regions within the country. Attitudes and perceptions of pesticide use, as well as of who is the user, differ based on the group of people in a periurban environment and between different regions. Such differences might play a role for tensions and conflicts in the periurban area of a society and also for regulations of pesticide use.