Miracle-dz/UniFAR-FTUs huggingface dataset:
How does the public perceive healthcare workers in Lagos? A comparison of health workers in public and private health facilities

Background: The perception of healthcare workers (HCWs) by community members is dependent on the quality of services rendered by HCWs and contributes to utilisation. The objective of the study was to assess the perception of health workers in both public and private facilities by residents of Lagos State. Materials and Methods: A descriptive cross-sectional study was conducted using mixed-methods approach. Respondents (n = 2000) were selected using a multistaged sampling technique from four local government areas. An interviewer-administered, pre-tested questionnaire developed for the study was used for data collection and focus group discussions were held. Domains assessed included competence, work attitudes, interpersonal skills and unethical behaviour. A perception index was generated. Data were analysed using the Statistical Package for the Social Sciences version 22, with level of significance set at 0.05 for quantitative data and ATLAS.ti software (Scientific Software, Berlin; version 7) for qualitative data. Results: At least seven out of ten participants (>71%) perceived the HCWs highly in the areas of professional competence, attitude to work, responsiveness and interpersonal skills. Out of a maximum of 12, doctors had the highest mean perception index (10.6 ± 1.9), laboratory scientists had 10.1 ± 2.1, pharmacists had 10.0 ± 2.3 and nurses had 9.6 ± 2.7. A larger proportion of respondents had a significantly better perception of workers in private facilities more than those in government facilities. Conclusion: Perception of health workers was high and was better in privately owned facilities. Periodic retraining of health workers and regular assessments of health facilities are recommended.
Status of Tooth Loss and Denture Restoration in Chinese Adult Population: Findings from the 4th National Oral Health Survey.

OBJECTIVE To investigate the status of tooth loss and denture restoration in Chinese adults, analyse the changing trend and provide fundamental data for oral health policy. METHODS According to the protocol of the 4th National Oral Health Survey, a multistage stratified random cluster-sampling method was used to enrol adult subjects aged 35 to 44, 55 to 64 and 65 to 74 years in all 31 provinces, municipalities and autonomous regions of the mainland of China. The status of tooth loss and denture restoration was investigated. SPSS20.0 software was used for statistics analysis. RESULTS Among the 13,464 subjects investigated, 13.8% had complete dentition, 84.4% had dentition defects, and 1.8% was edentulous. Urban subjects showed a significantly higher proportion of complete dentition than those in rural (P = 0.02), and males showed the statistically higher proportion of complete dentition than females (P = 0.01). The mean of remaining teeth was 26.1 ± 6.90, which in urban areas was significantly higher than in rural areas (P < 0.01). The means of remaining teeth were 29.6 ± 2.3, 26.3 ± 6.1, and 22.5 ± 8.7 in the 35 to 44, 55 to 64 and 65 to 74 age groups, respectively. The detection rate of fixed partial dentures (FPD) was statistically higher in urban than in rural areas and in males than that in females (P < 0.01). The detection rate of removable partial dentures (RPD) was statistically higher in urban areas than in rural locations (P < 0.01). However, the detection rates of irregular denture and unrepair of tooth loss were both significantly lower in urban than in rural areas (P < 0.01). The rate of restoration of tooth loss was 41.6% in Chinese adults. CONCLUSION Although the tooth loss and denture restoration status recorded in the survey was improved compared with the results of 10 years ago, more efforts need to be made on strengthening oral health promotion, particularly for elderly people and those living in rural areas.
Monge-Ampère Flow for Generative Modeling

We present a deep generative model, named Monge-Ampere flow, which builds on continuous-time gradient flow arising from the Monge-Ampere equation in optimal transport theory. The generative map from the latent space to the data space follows a dynamical system, where a learnable potential function guides a compressible fluid to flow towards the target density distribution. Training of the model amounts to solving an optimal control problem. The Monge-Ampere flow has tractable likelihoods and supports efficient sampling and inference. One can easily impose symmetry constraints in the generative model by designing suitable scalar potential functions. We apply the approach to unsupervised density estimation of the MNIST dataset and variational calculation of the two-dimensional Ising model at the critical point. This approach brings insights and techniques from Monge-Ampere equation, optimal transport, and fluid dynamics into reversible flow-based generative models.
Epigenetic influences on aging: a longitudinal genome-wide methylation study in old Swedish twins

Age-related changes in DNA methylation have been observed in many cross-sectional studies, but longitudinal evidence is still very limited. Here, we aimed to characterize longitudinal age-related methylation patterns (Illumina HumanMethylation450 array) using 1011 blood samples collected from 385 old Swedish twins (mean age of 69 at baseline) up to five times over 20 years. We identified 1316 age-associated methylation sites (p<1.3×10−7) using a longitudinal epigenome-wide association study design. We measured how estimated cellular compositions changed with age and how much they confounded the age effect. We validated the results in two independent longitudinal cohorts, where 118 CpGs were replicated in PIVUS (p<3.9×10−5) and 594 were replicated in LBC (p<5.1×10−5). Functional annotation of age-associated CpGs showed enrichment in CCCTC-binding factor (CTCF) and other unannotated transcription factor binding sites. We further investigated genetic influences on methylation (methylation quantitative trait loci) and found no interaction between age and genetic effects in the 1316 age-associated CpGs. Moreover, in the same CpGs, methylation differences within twin pairs increased over time, where monozygotic twins had smaller intra-pair differences than dizygotic twins. We show that age-related methylation changes persist in a longitudinal perspective, and are fairly stable across cohorts. Moreover, the changes are under genetic influence, although this effect is independent of age. In addition, inter-individual methylation variations increase over time, especially in age-associated CpGs, indicating the increase of environmental contributions on DNA methylation with age.
The Cognitive Underpinnings of Option Generation in Everyday Life Decision-Making: A Latent Variable Analysis

The ability to generate options for action is crucial for everyday life decision-making. In this article, we propose and test a model of the cognitive underpinnings of option generation in everyday life situations. We carried out a laboratory study using measures of a wide range of cognitive functions and asked participants (N = 157) to generate options for actions for different everyday life decision-making scenarios. The results of a latent variable analysis show that the cognitive underpinnings of option generation are consistent across different everyday life situations and, hence, option generation can be conceptualized as a general construct. Moreover, the results of a confirmatory factor analysis reveal that, when controlling for the shared variance among the cognitive processes assessed, verbal fluency, working memory capacity, ideation fluency, and processing speed predicted option generation. These findings suggest that option generation in everyday life situations can be distinguished from other cognitive constructs, such as divergent thinking (in terms of ideas' originality) and long-term memory.
Molecular Alteration Analysis of Human Gut Microbial Composition in Graves' disease Patients

The gut microbial association with host co-existence is critical for body homeostasis and pathogenicity. Graves' disease (GD) is an autoimmune disease manifested with hyperthyroidism and ophthalmopathy. However, we hypothesized that gut bacteria could affect an important role in GD pathogenicity. The current study aim was to characterize and investigate the intestinal bacterial composition of GD qualitatively and quantitatively. 27 GD and 11 healthy controls were enrolled for fecal sample collection. The PCR-DGGE of 16S rRNA gene by targeting V3 region and Real-time PCR for Lactobacillus, Bifidobacterium, Bacteroides vulgatus and Clostridium leptum, were performed. High-throughput sequencing of 16S rRNA gene with the V3+V4 site was perormed on Hiseq2500 platform on randomly 20 selected samples. The relative analysis of richness indices and diversity illustrated lesser diversification of intestinal bacteria in GD patients in contrast to controls. The data statistics shows the alteration in phyla of GD as compared to control. At the family taxonomic level, the relative abundance of Prevotellaceae and Pasteurellaceae were significantly higher in patients, while Enterobacteriaceae, Veillonellaceae, and Rikenellaceae were significantly lower in the diseased group as compared to control. At the genus level, a significant raised in genera count of the diseased group were Prevotella_9 and Haemophilus, while significantly decreased in the genera of the GD group were Alistipes and Faecalibacterium. The modulation in intestinal bacterial composition was checked at species level particularly H. parainfluenza abundance was raised in GD. The outcomes of the current study are aligned with the proposed hypothesis of gut microbial dysbiosis in GD. Statistically, alpha indices and differential abundance analyses of each intestinal bacterial community were significantly changed in GD. Therefore, the current study may provide a new insight into the GD pathogenesis and, in turn, explore its contribution in possible treatments.
Agent-based approach to continuous process control for enabling parallelization of engineering cycles

Modern manufacturing and production systems have growing demands in energy and cost savings, which can be ensured using more advanced control algorithms at the regulatory-level industrial control loops. However, developing such algorithms requires case-dependent approach that involves complex mathematics and expertise in various fields of technology and engineering. Gathering all the needed experts to conduct the control system engineering cycle is nearly impossible for organizational and economic reasons. Thus, in this work, it is proposed to employ an agent-based approach, which is substantially different than the conventional engineering cycles for developing the static control system. The idea is to split the entire control design procedure into smaller tasks of developing the modules (i.e. agents), which encapsulate the expert knowledge (e.g. on sensor failure detection, input signal modelling and estimation). It enables clear division of the competences between the experts and allows for dynamic inclusion of the expert knowledge into the newly designed or already existing system. Therefore, the expertise may be distributed both in location and in time, which stands in contradiction to the static approach based on sequential engineering cycles.
Deep Graph Infomax

We present Deep Graph Infomax (DGI), a general approach for learning node representations within graph-structured data in an unsupervised manner. DGI relies on maximizing mutual information between patch representations and corresponding high-level summaries of graphs---both derived using established graph convolutional network architectures. The learnt patch representations summarize subgraphs centered around nodes of interest, and can thus be reused for downstream node-wise learning tasks. In contrast to most prior approaches to unsupervised learning with GCNs, DGI does not rely on random walk objectives, and is readily applicable to both transductive and inductive learning setups. We demonstrate competitive performance on a variety of node classification benchmarks, which at times even exceeds the performance of supervised learning.
Mendelian susceptibility to mycobacterial disease: 2014–2018 update

Mendelian susceptibility to mycobacterial disease (MSMD) is caused by inborn errors of IFN‐γ immunity. Since 1996, disease‐causing mutations have been found in 11 genes, which, through allelic heterogeneity, underlie 21 different genetic disorders. We briefly review here progress in the study of molecular, cellular and clinical aspects of MSMD since the last comprehensive review published in 2014. Highlights include the discoveries of (1) a new genetic etiology, autosomal recessive signal peptide peptidase‐like 2 A deficiency, (2) TYK2‐deficient patients with a clinical phenotype of MSMD, (3) an allelic form of partial recessive IFN‐γR2 deficiency, and (4) two forms of syndromic MSMD: RORγ/RORγT and JAK1 deficiencies. These recent findings illustrate how genetic and immunological studies of MSMD can shed a unique light onto the mechanisms of protective immunity to mycobacteria in humans.
Effective Intrusion Detection System Using XGBoost

As the world is on the verge of venturing into fifth-generation communication technology and embracing concepts such as virtualization and cloudification, the most crucial aspect remains “security”, as more and more data get attached to the internet. This paper reflects a model designed to measure the various parameters of data in a network such as accuracy, precision, confusion matrix, and others. XGBoost is employed on the NSL-KDD (network socket layer-knowledge discovery in databases) dataset to get the desired results. The whole motive is to learn about the integrity of data and have a higher accuracy in the prediction of data. By doing so, the amount of mischievous data floating in a network can be minimized, making the network a secure place to share information. The more secure a network is, the fewer situations where data is hacked or modified. By changing various parameters of the model, future research can be done to get the most out of the data entering and leaving a network. The most important player in the network is data, and getting to know it more closely and precisely is half the work done. Studying data in a network and analyzing the pattern and volume of data leads to the emergence of a solid Intrusion Detection System (IDS), that keeps the network healthy and a safe place to share confidential information.
High Fidelity Cryopreservation and Recovery of Primary Rodent Cortical Neurons

Abstract Cell cryopreservation improves reproducibility and enables flexibility in experimental design. Although conventional freezing methodologies have been used to preserve primary neurons, poor cell viability and reduced survival severely limited their utility. We screened several high-performance freezing media and found that CryoStor10 (CS10) provided superior cryoprotection to primary mouse embryonic cortical neurons compared to other commercially-available or traditional reagents, permitting the recovery of 68.8% of cells relative to a fresh dissection. We characterized developmental, morphometric, and functional indicators of neuron maturation and found that, without exception, neurons recovered from cryostorage in CS10 media faithfully recapitulate in vitro neurodevelopment in-step with neurons obtained by fresh dissection. Our method establishes cryopreserved neurons as a reliable, efficient, and equivalent model to fresh neuron cultures.
Interactive Effects of Early-Life Income Harshness and Unpredictability on Children’s Socioemotional and Academic Functioning in Kindergarten and Adolescence

This research investigates whether and how two fundamental environmental factors—harshness and unpredictability—interact in regulating child and adolescent development, informed by life-history theory and drawing on data from the National Institute of Child Health & Human Development Study of Early Child Care and Youth Development (N = 1,364). Early life harshness was operationalized as the typical level of family income-to-needs based on six repeated measurements across the first 4.5 years of life and early life unpredictability as random variation using the same family income measurements. Results revealed that children functioned most competently in the social and academic domain as kindergarteners when exposed to low environmental harshness and low unpredictability and least competently when they experienced high harshness and low unpredictability. The same interaction pattern emerged in adolescence in forecasting cognitive-academic competence and sexual behavior. Findings are discussed in terms of how reliable and unreliable environmental cues shape developmental trajectories.
What do expectant parents know about antenatal ultrasound screening?

Abstract Objective: We aimed to investigate and compare the background knowledge and attitudes of pregnant women and their partners about antenatal ultrasound scans. Materials and methods: A cross-sectional survey was conducted in a university perinatology clinic. Pregnant women and their partners who underwent the first trimester ultrasound scan or the second trimester anomaly scan were invited to complete a questionnaire which contained items on their sociodemographic characteristics, knowledge, and attitude. Results: In total, 500 eligible expectant mothers and their partners (220 in the first trimester and 280 in the second trimester) were recruited. The knowledge and attitude of expectant mothers and fathers were statistically similar. Working status, education level, and presence of chronic disease were the factors affecting the number of correct answers in both expectant mothers and fathers. The knowledge levels of both the expectant mothers and fathers were similar in the first and second trimesters. Conclusions: Pregnant women’s and their partners’ attitudes and knowledge on antenatal ultrasound scans were similar and generally satisfactory.
A Novel Role for the Interleukin-1 Receptor Axis in Resistance to Anti-EGFR Therapy

Cetuximab (CTX) is a monoclonal antibody targeting the epidermal growth factor receptor (EGFR), commonly used to treat patients with metastatic colorectal cancer (mCRC). Unfortunately, objective remissions occur only in a minority of patients and are of short duration, with a population of cells surviving the treatment and eventually enabling CTX resistance. Our previous study on CRC xenopatients associated poor response to CTX with increased abundance of a set of pro-inflammatory cytokines, including the interleukins IL-1A, IL-1B and IL-8. Stemming from these observations, our current work aimed to assess the role of IL-1 pathway activity in CTX resistance. We employed a recombinant decoy TRAP IL-1, a soluble protein combining the human immunoglobulin Fc portion linked to the extracellular region of the IL-1-receptor (IL-1R1), able to sequester IL-1 directly from the medium. We generated stable clones expressing and secreting a functional TRAP IL-1 into the culture medium. Our results show that IL-1R1 inhibition leads to a decreased cell proliferation and a dampened MAPK and AKT axes. Moreover, CRC patients not responding to CTX blockage displayed higher levels of IL-1R1 than responsive subjects, and abundant IL-1R1 is predictive of survival in patient datasets specifically for the consensus molecular subtype 1 (CMS1). We conclude that IL-1R1 abundance may represent a therapeutic marker for patients who become refractory to monoclonal antibody therapy, while inhibition of IL-1R1 by TRAP IL-1 may offer a novel therapeutic strategy.
Treatment of intracranial aneurysms using the pipeline flex embolization device with shield technology: angiographic and safety outcomes at 1-year follow-up

Purpose The Pipeline Embolization Device (PED) is a routine first-line treatment option for intracranial aneurysms (IAs). The Pipeline Flex Embolization Device with Shield Technology (Pipeline Shield) is an updated version of the PED which has been modified to include a surface phosphorylcholine biocompatible polymer. Its early technical success and safety have been reported previously. Here, we assessed the long-term safety and efficacy of the Pipeline Shield for the treatment of IAs. Materials and methods The Pipeline Flex Embolization Device with Shield Technology (PFLEX) study was a prospective, single-arm, multicenter study for the treatment of unruptured IAs using the Pipeline Shield. The primary endpoint was a major stroke in the territory supplied by the treated artery or neurologic death at 1-year post-procedure. Angiographic outcomes were also assessed by an independent radiology laboratory at 6 months and 1 year. Results Fifty patients (mean age, 53 years; 82% female) with 50 unruptured IAs were treated. Mean aneurysm diameter was 8.82±6.15 mm. Of the target aneurysms, 38/50 (76%) were small (<10 mm), 11/50 (22%) were large (≥10 and<25 mm), and 1/50 (2%) was giant (≥25 mm). Forty-seven (94%) were located in the internal carotid artery and three (6%) in the vertebral artery. At 1-year post-procedure, no major strokes or neurologic deaths were reported, and complete occlusion was achieved in 27/33 (81.8%). There were no instances of aneurysm recurrence or retreatment. Conclusions Our 1-year follow-up concerning angiographic and safety outcomes corroborate previous evidence that the Pipeline Shield is a safe and effective treatment for IAs. Trial registration number NCT02390037
Speech intelligibility of virtual humans

Abstract The speech intelligibility benefit of visual speech cues during oral communication is well-established. Therefore, an ecologically valid approach of auditory assessment should include the processing of both auditory and visual speech cues. This study describes the development and evaluation of a virtual human speaker designed to present speech auditory-visually. A male and female virtual human speaker were created and evaluated in two experiments: a visual-only speech reading test of words and sentences and an auditory-visual speech intelligibility sentence test. A group of five hearing, skilled speech reading adults participated in the speech reading test whereas a group of young normal-hearing participants (N = 35) was recruited for the intelligibility test. Skilled speech readers correctly identified 57 to 67% of the words and sentences uttered by the virtual speakers. The presence of the virtual speaker improved the speech intelligibility of sentences in noise by 1.5 to 2 dB. These results demonstrate the potential applicability of virtual humans in future auditory-visual speech assessment paradigms.