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ABO blood groups do not predict Schistosoma mansoni infection profiles in highly endemic villages of Uganda
Get PDFSchistosoma mansoni is a parasite which causes significant public-health issues, with over 240 mil-lion people infected globally. In Uganda alone, approximately 11.6 million people are affected. Despite over a decade of mass drug administration in this country, hyper-endemic hotspots persist, and individuals who are repeatedly heavily and rapidly reinfected are observed. Human blood-type antigens are known to play a role in the risk of infection for a variety of diseases, due to cross-reactivity between host antibodies and pathogenic antigens. There have been conflicting results on the effect of blood type on schistosomiasis infection and pathology. Moreover, the ef-fect of blood type as a potential intrinsic host factor on S. mansoni prevalence, intensity, clearance, and reinfection dynamics and on co-infection risk remains unknown. Therefore, the epidemio-logical link between host blood type and S. mansoni infection dynamics was assessed in three hyper-endemic communities in Uganda. Longitudinal data incorporating repeated pretreatment S. mansoni infection intensities and clearance rates were used to analyse associations between blood groups in school-aged children. Soil-transmitted helminth coinfection status and biometric parameters were incorporated in a generalised linear mixed regression model including age, gender, and body mass index (BMI), which have previously been established as significant factors influencing the prevalence and intensity of schistosomiasis. The analysis revealed no associations between blood type and S. mansoni prevalence, infection intensity, clearance, reinfection, or coinfection. Variations in infection profiles were significantly different between the villages, and egg burden significantly decreased with age. While blood type has proven to be a predictor of several diseases, the data collected in this study indicate that it does not play a significant role in S. mansoni infection burdens in these high-endemicity communities
Reconciling egg- and antigen-based estimates of Schistosoma mansoni clearance and reinfection: a modelling study
Get PDFThis is a pre-copyedited, author-produced PDF of an article accepted for publication in Clinical Infectious Diseases following peer review. The version of record Clark, J., Moses, A., Nankasi, A., Faust, C. L., Moses, A., Francoeur, R., ... & Lamberton, P. H. (2022). Reconciling egg-and antigen-based estimates of Schistosoma mansoni clearance and reinfection: a modeling study. Clinical Infectious Diseases, 74(9), 1557-1563. is available online at: https://doi.org/10.1093/cid/ciab679Despite decades of interventions, 240 million people have schistosomiasis. Infections cannot be directly observed, and egg-based Kato-Katz thick smears lack sensitivity, affected treatment efficacy and reinfection rate estimates. The point-of-care circulating cathodic antigen (referred to from here as POC-CCA+) test is advocated as an improvement on the Kato-Katz method, but improved estimates are limited by ambiguities in the interpretation of trace results.
Method
We collected repeated Kato-Katz egg counts from 210 school-aged children and scored POC-CCA tests according to the manufacturer’s guidelines (referred to from here as POC-CCA+) and the externally developed G score. We used hidden Markov models parameterized with Kato-Katz; Kato-Katz and POC-CCA+; and Kato-Katz and G-Scores, inferring latent clearance and reinfection probabilities at four timepoints over six-months through a more formal statistical reconciliation of these diagnostics than previously conducted. Our approach required minimal but robust assumptions regarding trace interpretations.
Results
Antigen-based models estimated higher infection prevalence across all timepoints compared with the Kato-Katz model, corresponding to lower clearance and higher reinfection estimates. Specifically, pre-treatment prevalence estimates were 85% (Kato-Katz; 95% CI: 79%–92%), 99% (POC-CCA+; 97%–100%) and 98% (G-Score; 95%–100%). Post-treatment, 93% (Kato-Katz; 88%–96%), 72% (POC-CCA+; 64%–79%) and 65% (G-Score; 57%–73%) of those infected were estimated to clear infection. Of those who cleared infection, 35% (Kato-Katz; 27%–42%), 51% (POC-CCA+; 41%–62%) and 44% (G-Score; 33%–55%) were estimated to have been reinfected by 9-weeks.
Conclusions
Treatment impact was shorter-lived than Kato-Katz–based estimates alone suggested, with lower clearance and rapid reinfection. At 3 weeks after treatment, longer-term clearance dynamics are captured. At 9 weeks after treatment, reinfection was captured, but failed clearance could not be distinguished from rapid reinfection. Therefore, frequent sampling is required to understand these important epidemiological dynamics
A Study of Preferred Learning Time of Online Learner in Multimedia Microlearning in Higher Education Context
Get PDFThis study aims to explore when would online learners prefer to interact with multimedia microlearning†in higher education context. Although microlearning is an emerging topic, most of the previous studies were focus on reporting the application results of microlearning, only very few of previous works were specifically conducted on discussing when would online learners prefer to interact with multimedia microlearning.
Total population sampling approach was adopted and questionnaire was used to collect primary data. In total, 77 participants attempted the survey, the response rate is 32.6%. The findings from this study indicate that more learners prefer to study during morning or afternoon time rather than evening or midnight time (H2) (p<0.05). On the other hand, there is no significant difference on when to attempt assessment (H1) and on gender issue (H3, H4). The findings from this study generates knowledge to fill the research gap in the field of microlearning.
According to the researchers' best knowledge, this is the first time that a study like this had been conducted to review and discuss the online learners' preferences on interacting multimedia learning. Hopefully, this study could shed some lights on future directions of the development of microlearning
The potential impact of gene therapy on health-related quality of life (HRQoL) domains in haemophilia
Get PDF© 2021 Monika Bullinger et al., published by SciendoHaemophilia is an inherited bleeding disorder characterised by spontaneous bleeding, often leading to impaired health-related quality of life (HRQoL). Commonly used treatments include episodic and prophylactic treatment regimens. Gene therapies could soon become available, potentially creating a paradigm shift in patient management. Aim This paper proposes hypotheses about the potential impact of gene therapy on HRQoL domains in haemophilia, and how these impacts might differ compared with existing treatments. Methods An expert working group with 10 individuals experienced in haemophilia and HRQoL research was established to discuss potential impacts of gene therapy on HRQoL in general and for specific domains in haemophilia. As part of a one-day workshop, domains of three widely used patient-reported outcome (PRO) instruments were explored: the Haemo-QoL-A, the Patient Reported Outcomes, Burden and Experiences (PROBE), and the Haemophilia Activities List (HAL). Results The group expected a greater improvement in HRQoL from gene therapy compared with existing treatments for the following domains: physical/role functioning, worry, and consequences of bleeding (Haemo-QoL-A); haemophilia-related health and EQ-5D-5L (part of the PROBE); leg and arm function, and leisure activities (HAL). In contrast, the experts suggested that no change or potential deterioration might be observed for the emotional impact (HAL) and treatment concerns (Haemo-QoL-A) domains. Conclusions Current PRO instruments in haemophilia have limitations when applied in the context of gene therapy, and no single instrument fully captures the relevant HRQoL domains. However, the PROBE and Haemo-QoL-A were considered as the most suitable existing instruments. As haemophilia treatments evolve, further research should examine the potential effectiveness of existing PRO instruments as compared to the development of novel PRO measures
A pilot evaluation study of pastoral supervision provision in the Moravian Church (British Province)
Get PDFThis is an Accepted Manuscript of an article published by Taylor & Francis in Mental Health, Religion and Culture on 08/04/2022, available online: https://doi.org/10.1080/13674676.2022.2045924This pilot study is an evaluation of pastoral supervision within the Moravian Church (British Province). The findings indicate that pastoral supervision is considered sufficiently beneficial, with 94% having found pastoral supervision to be of help to them, to be worth continuing with, and to be worth continuing to be funded by the denomination; thereby adding a contribution to the discussion on the value of pastoral supervision for clergy
A survey of modern deep learning based object detection models
Get PDFObject Detection is the task of classification and localization of objects in an image or video. It has gained prominence in recent years due to its widespread applications. This article surveys recent developments in deep learning based object detectors. Concise overview of benchmark datasets and evaluation metrics used in detection is also provided along with some of the prominent backbone architectures used in recognition tasks. It also covers contemporary lightweight classification models used on edge devices. Lastly, we compare the performances of these architectures on multiple metrics
Interaction between Dietary Fat Intake and Metabolic Genetic Risk Score on 25-Hydroxyvitamin D Concentrations in a Turkish Adult Population
Get PDFPrevious studies have pointed out a link between vitamin D status and metabolic traits, however, consistent evidence has not been provided yet. This cross-sectional study has used a nutrigenetic approach to investigate the interaction between metabolic-genetic risk score (GRS) and dietary intake on serum 25-hydroxyvitamin D [25(OH)D] concentrations in 396 unrelated Turkish adults, aged 24-50 years. Serum 25(OH)D concentration was significantly lower in those with a metabolic-GRS ≥ 1 risk allele than those with a metabolic-GRS < 1 risk allele (p = 0.020). A significant interaction between metabolic-GRS and dietary fat intake (energy%) on serum 25(OH)D levels was identified (Pinteraction = 0.040). Participants carrying a metabolic-GRS ≥ 1 risk allele and consuming a high fat diet (≥38% of energy = 122.3 ± 52.51 g/day) had significantly lower serum 25(OH)D concentration (p = 0.006) in comparison to those consuming a low-fat diet (<38% of energy = 82.5 ± 37.36 g/d). In conclusion, our study suggests a novel interaction between metabolic-GRS and dietary fat intake on serum 25(OH)D level, which emphasises that following the current dietary fat intake recommendation (<35% total fat) could be important in reducing the prevalence of vitamin D deficiency in this Turkish population. Nevertheless, further larger studies are needed to verify this interaction, before implementing personalized dietary recommendations for the maintenance of optimal vitamin D status
The complementarities of Digitalization and Productivity: Redefining Boundaries for Financial Sector
Get PDFThis is an Accepted Manuscript of an article published by Taylor & Francis in Technology Analysis & Strategic Management on [21 December 2021], available online: https://doi.org/10.1080/09537325.2021.2013463Digitalisation is portrayed as a transformative force, remodelling the way we live and businesses operate. In today's unprecedented business environment, the survival of organisations is in technological advancement and online presence. When masses rely on digital financial payments, there is a pressing need for the financial sector to offer innovative products and services to meet customers’ needs and achieve sustainable performance. This paper aims to investigate the impact of data analytics on the productivity of banks in Pakistan and employed two-step system generalised methods of moments for estimation. The findings suggest that 5.9% productivity is increased for banks that invested in data analytics on average. It was also found that productivity increase is associated with an investment in data analytics compared to a mere investment in any software. However, the moderating role of dynamic capabilities on the relationship between data analytics and banks’ productivity is insignificant, which raises a question on the relevance of research and development expense with human capital development. It is recommended that banks should invest in those analytics that have predictive, visualising and analytical capabilities. The use of these innovative technologies should be combined with training and human capital development to ensure sustainable firm performance
The roles of personality traits, AI anxiety, and demographic factors in attitudes towards artificial intelligence
Get PDFThe present study adapted the General Attitudes toward Artificial Intelligence Scale (GAAIS) to Turkish and investigated the impact of personality traits, artificial intelligence anxiety, and demographics on attitudes toward artificial intelligence. The sample consisted of 259 female (74%) and 91 male (26%) individuals aged between 18 and 51 (Mean = 24.23). Measures taken were demographics, the Ten-Item Personality Inventory, the Artificial Intelligence Anxiety Scale, and the General Attitudes toward Artificial Intelligence Scale. The Turkish GAAIS had good validity and reliability. Hierarchical Multiple Linear Regression Analyses showed that positive attitudes toward artificial intelligence were significantly predicted by the level of computer use (β = 0.139, p = 0.013), level of knowledge about artificial intelligence (β = 0.119, p = 0.029), and AI learning anxiety (β = −0.172, p = 0.004). Negative attitudes toward artificial intelligence were significantly predicted by agreeableness (β = 0.120, p = 0.019), AI configuration anxiety (β = −0.379, p < 0.001), and AI learning anxiety (β = −0.211, p < 0.001). Personality traits, AI anxiety, and demographics play important roles in attitudes toward AI. Results are discussed in light of the previous research and theoretical explanations
Sodium and potassium intakes assessed by 24-h urine among Moroccan University students in Casablanca, Morocco: Cross-sectional study
Get PDFIn Morocco, the high consumption of dietary sodium increases the risk of non-communicable diseases (NCDs) and predisposes to cardiovascular diseases (CVDs) and hypertension. This study aims to assess the dietary sodium and potassium intake in a random sample of Moroccan adult students as a benchmark informing a national strategy for reducing salt intake. This cross-sectional study was conducted with 103 adults aged 18 to 25 years recruited in Casablanca. The 24-hour urinary excretion was used to measure the sodium and potassium. Urine volume and creatinine excretion level were used to validate the completeness of the collected samples. The average urinary sodium excretion was 3.1 ± 0.1 g/day, 13.5% consumed less than 5g/day, while 69% consumed more than 5 g/day of which 17.5% consumed more than twice the recommendations. For the average urinary potassium excretion was 1.83 ± 0.06 g/day, and more than 98% of the students consumed less than the adequate intake. The Na/K ratio is significantly higher than the recommended amounts. The results of this pilot study show that the population studied has a high sodium intake and low potassium intake which does not meet World Health Organization (WHO) recommendations, which requires implementing an action plan to reduce salt intake
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