Miracle-dz/UniFAR-FTUs huggingface dataset:
INVESTIGATION OF FLOW PARAMETERS AND NOISE OF SUBSONIC AND SUPERSONIC JETS USING RANS / ILES HIGH RESOLUTION METHOD

Flow parameters, turbulence characteristics and a noise for subsonic and supersonic jets from different nozzles have been calculated by high resolution RANS/ILES-method. The influence of chevrons (nozzles SMC001, SMC006) for subsonic cold jet with acoustic Mach 0.9 was considered. The effect of chevrons increases with increase their penetration. Chevrons reduce the noise at low and increase the noise at high frequencies. An influence of total temperature at the inlet of biconical nozzle for off-design supersonic jet with NPR=4.0 was studied. It is found that the temperature increase leads to a decrease in the length of a jet initial part due to more rapid closing of the jet mixing layers. Moreover, static pressure fluctuations in the mixing layer and noise in the jet near field are increased with jet temperature increase. A good agreement with the experimental data of other authors was obtained.
Opportunities and challenges for campus-based universities in Africa to translate into dual-mode delivery

Abstract With the growing demand for tertiary education, especially in Africa, the transformation of contact universities to dual-mode institutions is critical. However, conventional universities have had limited success establishing the dual-mode delivery stream. This paper assesses barriers to adoption and implementation of open and distance learning (ODL) in conventional higher education institutions in Cameroon, Kenya and Rwanda by applying a framework on innovation adoption to case studies of ODL in higher education in these countries. This qualitative meta-study shows that the transition to dual-mode is not systematic and that there are various barriers, ranging from national policy and funding; infrastructure, organisational structure and capacity; complexity and cost of ODL; as well as student and staff skills and perceptions, which have impeded adoption. Based on the findings, this paper makes recommendations for implementing ODL in existing conventional universities. Cases of successful transition to dual-mode are provided.
In Situ Decoration of Gold Nanoparticles on Graphene Oxide via Nanosecond Laser Ablation for Remarkable Chemical Sensing and Catalysis

Gold decorated graphene-based nano-hybrids find extensive research interest due to their enhanced chemical catalytic performance and biochemical sensing. The unique physicochemical properties and the very large surface area makes them propitious platform for the rapid buildouts of science and technology. Graphene serves as an outstanding matrix for anchoring numerous nanomaterials because of its atomically thin 2D morphological features. Herein, we have designed a metal-graphene nano-hybrid through pulsed laser ablation. Commercially available graphite powder was employed for the preparation of graphene oxide (GO) using modified Hummers’ method. A solid, thin gold (Au) foil was ablated in an aqueous suspension of GO using second harmonic wavelength (532 nm) of the Nd:YAG laser for immediate generation of the Au-GO nano-hybrid. The synthesis strategy employed here does not entail any detrimental chemical reagents and hence avoids the inclusion of reagent byproducts to the reaction mixture, toxicity, and environmental or chemical contamination. Optical and morphological characterizations were performed to substantiate the successful anchoring of Au nanoparticles (Au NPs) on the GO sheets. Remarkably, these photon-generated nano-hybrids can act as an excellent surface enhanced Raman spectroscopy (SERS) platform for the sensing/detection of the 4-mercaptobenzoic acid (4-MBA) with a very low detection limit of 1 × 10−12 M and preserves better reproducibility also. In addition, these hybrid materials were found to act as an effective catalyst for the reduction of 4-nitrophenol (4-NP). Thus, this is a rapid, mild, efficient and green synthesis approach for the fabrication of active organometallic sensors and catalysts.
Ultrasound for Breast Cancer Detection Globally: A Systematic Review and Meta-Analysis

PURPOSE Mammography is not always available or feasible. The purpose of this systematic review and meta-analysis is to assess the diagnostic performance of ultrasound as a primary tool for early detection of breast cancer. MATERIALS AND METHODS For this systematic review and meta-analysis, we comprehensively searched PubMed and SCOPUS to identify articles from January 2000 to December 2018 that included data on the performance of ultrasound for detection of breast cancer. Studies evaluating portable, handheld ultrasound as an independent detection modality for breast cancer were included. Quality assessment and bias analysis were performed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Sensitivity analyses and meta-regression were used to explore heterogeneity. The study protocol has been registered with the international prospective register of systematic reviews (PROSPERO identifier: CRD42019127752). RESULTS Of the 526 identified studies, 26 were eligible for inclusion. Ultrasound had an overall pooled sensitivity and specificity of 80.1% (95% CI, 72.2% to 86.3%) and 88.4% (95% CI, 79.8% to 93.6%), respectively. When only low- and middle-income country data were considered, ultrasound maintained a diagnostic sensitivity of 89.2% and specificity of 99.1%. Meta-analysis of the included studies revealed heterogeneity. The high sensitivity of ultrasound for the detection of breast cancer was not statistically significantly different in subgroup analyses on the basis of mean age, risk, symptoms, study design, bias level, and study setting. CONCLUSION Given the increasing burden of breast cancer and infeasibility of mammography in certain settings, we believe these results support the potential use of ultrasound as an effective primary detection tool for breast cancer, which may be beneficial in low-resource settings where mammography is unavailable.
Relationship between glycated hemoglobin level and duration of hypoglycemia in type 2 diabetes patients treated with sulfonylureas: A multicenter cross‐sectional study

Sulfonylurea‐related hypoglycemia increases the risk of cardiovascular sequela, such as cardiac arrhythmia. This study aimed to clarify the relationship between the level of glycated hemoglobin (HbA1c) and the duration of hypoglycemia in type 2 diabetes patients treated with sulfonylureas.
EVALUATING SEMANTIC ANALYSIS METHODS FOR SHORT ANSWER GRADING USING LINEAR REGRESSION

The assessment of free-text answers may demand significant human effort, especially in scenarios with many students. This paper focuses on the automatic grading of short answer written in Portuguese language using techniques of natural language processing and semantic analysis. A previous study found that a similarity scoring model might be more suitable to a question type than to another. In this study, we combine latent semantic analysis (LSA) and a WordNet path-based similarity method using linear regression to predict scores for 76 short answers to three questions written by high school students. The predicted scores compared well to human scores and the use of combined similarity scores showed an improvement in overall results in relation to a previous study on the same corpus. The presented approach may be used to support the automatic grading of short answer using supervised machine learning to weight different similarity scoring models.
Aberrant cognition in newly diagnosed patients with bipolar disorder and their unaffected relatives

Abstract Background Patients with bipolar disorder (BD) experience persistent impairments in both affective and non-affective cognitive function, which is associated with a worse course of illness and poor functional outcomes. Nevertheless, the temporal progression of cognitive dysfunction in BD remains unclear and the identification of objective endophenotypes can inform the aetiology of BD. Methods The present study is a cross-sectional investigation of cognitive baseline data from the longitudinal Bipolar Illness Onset-study. One hundred seventy-two remitted patients newly diagnosed with BD, 52 of their unaffected relatives (UR), and 110 healthy controls (HC) were compared on a large battery of behavioural cognitive tasks tapping into non-affective (i.e. neurocognitive) and affective (i.e. emotion processing and regulation) cognition. Results Relative to HCs, patients with BD exhibited global neurocognitive deficits (ps < 0.001), as well as aberrant emotion processing and regulation (ps ⩽ 0.011); including decreased emotional reactivity to positive social scenarios, impaired ability to down-regulate positive emotion, as well as a specific deficit in the ability to recognise surprised facial expressions. Their URs also showed a trend towards difficulties identifying surprised faces (p = 0.075). No other differences in cognitive function were found for URs compared to HCs. Conclusions Neurocognitive deficits and impairments within emotion processing and regulation may be illness-related deficits of BD that present after illness-onset, whereas processing of emotional faces may represent an early risk marker of BD. However, longitudinal studies are needed to examine the association between cognitive impairments and illness progression in BD.
Energy balance following diets of varying fat content: metabolic dysregulation in a rodent model of spinal cord contusion

Within the spinal cord injured (SCI) population, metabolic dysfunction may be exacerbated. Models of cord injury coupled with metabolic stressors have translational relevance to understand disease progression in this population. In the present study, we used a rat model of thoracic SCI at level T10 (tSCI) and administered diets comprised of either 9% or 40% butterfat to create a unique model system to understand the physiology of weight regulation following cord injury. SCI rats that recovered on chow for 28 days had reduced body mass, lean mass, and reduced fat mass but no differences in percentage of lean or fat mass composition. Following 12 weeks on either low‐fat diet (LFD) or high‐fat diet (HFD), SCI rats maintained on LFD did not gain weight at the same rate as SCI animals maintained on HFD. LFD‐SCI had reduced feed conversion efficiency in comparison to Sham‐LFD whereas tSCI‐HFD were equivalent to Sham‐HFD rats. Although SCI rats still maintained lower lean body mass, by the end of the study HFD‐fed rats had higher body fat percentage than LFD‐fed rats. Macronutrient selection testing demonstrated SCI rats had a significant preference for protein over Sham rats. Analysis of metabolic cage activity showed tSCI rats had elevated energy expenditure, despite reduced locomotor activity. Muscle triglycerides and cholesterol were reduced only in LFD‐tSCI rats. These data suggest that consumption of HFD by tSCI rats alters the trajectory of metabolic dysfunction in the context of spinal cord disease progression.
Rosetting revisited: a critical look at the evidence for host erythrocyte receptors in Plasmodium falciparum rosetting

Abstract Malaria remains a major cause of mortality in African children, with no adjunctive treatments currently available to ameliorate the severe clinical forms of the disease. Rosetting, the adhesion of infected erythrocytes (IEs) to uninfected erythrocytes, is a parasite phenotype strongly associated with severe malaria, and hence is a potential therapeutic target. However, the molecular mechanisms of rosetting are complex and involve multiple distinct receptor–ligand interactions, with some similarities to the diverse pathways involved in P. falciparum erythrocyte invasion. This review summarizes the current understanding of the molecular interactions that lead to rosette formation, with a particular focus on host uninfected erythrocyte receptors including the A and B blood group trisaccharides, complement receptor one, heparan sulphate, glycophorin A and glycophorin C. There is strong evidence supporting blood group A trisaccharides as rosetting receptors, but evidence for other molecules is incomplete and requires further study. It is likely that additional host erythrocyte rosetting receptors remain to be discovered. A rosette-disrupting low anti-coagulant heparin derivative is being investigated as an adjunctive therapy for severe malaria, and further research into the receptor–ligand interactions underlying rosetting may reveal additional therapeutic approaches to reduce the unacceptably high mortality rate of severe malaria.
Extremely low malaria prevalence in a wetland specialist passerine

Abstract Avian malaria (caused by Plasmodium spp.) and avian malaria-like infections (caused by Haemoproteus spp.) are widespread and can seriously affect the health of their bird hosts, especially of immunologically naïve individuals. Therefore, these parasites have long been in the focus of bird-parasite studies. However, the species richness and diversity of these protozoan species have only been revealed since the use of molecular techniques. Diversity and prevalence of these parasites among different bird species and even between populations of a species show a large variation. Here, we investigated prevalence of avian malaria and avian malaria-like parasites in two distant populations of a non-migratory wetland specialist passerine, the bearded reedling (Panurus biarmicus). While previous studies have shown that reed-dwelling bird species often carry various blood parasite lineages and the presence of the vectors transmitting Plasmodium and Haemoproteus species has been confirmed from our study sites, prevalence of these parasites was extremely low in our populations. This may either suggest that bearded reedlings may avoid or quickly clear these infections, or these parasites cause high mortality in this species. The remarkably low prevalence of infection in this species is consistent with earlier studies and makes bearded reedlings a possible model organism for investigating the genetic or behavioural adaptations of parasite resistance.
Intelligent Filter-Based SLAM for Mobile Robots With Improved Localization Performance

Fast simultaneous localization and mapping (FastSLAM) is one of the most popular methods for autonomous navigation of mobile robots. However, FastSLAM is essentially a particle filter (PF) that suffers from particle impoverishment and degeneracy problems. To improve its localization performance, this paper proposes an improved FastSLAM algorithm that contains an intelligent bat-inspired resampling whose iteration times can be adaptively tuned based on the degree of filter diverging. Additionally, the square root cubature filter is merged into the algorithm for better proposal distribution and mapping results. The advantages of the proposed method are verified by simulation and dataset-based tests. The test result demonstrates that the proposed IFastSLAM has better accuracy, computational efficiency and filter consistency compared to that of the square root unscented FastSLAM (SRUFastSLAM) and strong tracking square root central difference FastSLAM (STSRCDFastSLAM). Finally, a pool experiment is demonstrated to further verify the advantages of the proposed algorithm.
Rheumatoid Arthritis-Associated Mechanisms of Porphyromonas gingivalis and Aggregatibacter actinomycetemcomitans

Rheumatoid arthritis (RA) is an autoimmune disease of unknown etiology characterized by immune-mediated damage of synovial joints and antibodies to citrullinated antigens. Periodontal disease, a bacterial-induced inflammatory disease of the periodontium, is commonly observed in RA and has implicated periodontal pathogens as potential triggers of the disease. In particular, Porphyromonas gingivalis and Aggregatibacter actinomycetemcomitans have gained interest as microbial candidates involved in RA pathogenesis by inducing the production of citrullinated antigens. Here, we will discuss the clinical and mechanistic evidence surrounding the role of these periodontal bacteria in RA pathogenesis, which highlights a key area for the treatment and preventive interventions in RA.
Mapping the evidence about what works to safely reduce the entry of children and young people into statutory care: a systematic scoping review protocol

Introduction The increasing number of children and young people entering statutory care in the UK is a significant social, health and educational priority. Development of effective approaches to safely reduce this number remains a complex but critical issue. Despite a proliferation in interventions, evidence summaries are limited. The present protocol outlines a scoping review of research evidence to identify what works in safely reducing the number of children and young people (aged ≤18 years) entering statutory social care. The mapping of evidence gaps, clusters and uncertainties will inform the research programme of the newly funded Department for Education’s What Works Centre for Children’s Social Care. Methods and analysis The review uses Arksey and O’Malley’s scoping review methodology. Electronic database and website searches will identify studies targeting reduction of care entry, reduction of care re-entry and increase in post-care reunification. Supplementary searching techniques will include international expert consultation. Abstracts and full-text studies will be independently screened by two reviewers. Ten per cent of data abstraction will be independently conducted by two reviewers, with the remainder being extracted and then verified by a second reviewer. Descriptive numerical summaries and a thematic qualitative synthesis will be generated. Evidence will be synthesised according to primary outcome, intervention point (mapped across socioecological domains) and the realist EMMIE categorisation of evidence type (Effectiveness; Mechanisms of change; Moderators; Implementation; Economic evaluation). Ethics and dissemination Outputs will be a conceptual evidence map, a descriptive table quantitatively summarising evidence and a qualitative narrative summary. Results will be disseminated through a peer-reviewed publication, conference presentations, the What Works Centre website, and knowledge translation events with policy-makers and practitioners. Findings will inform the primary research programme of the What Works Centre for Children’s Social Care and the subsequent suite of systematic reviews to be conducted by the Centre in this substantive area.
Risk stratification in hypertension: NT-proBNP and R wave in aVL lead combination better than echocardiographic left ventricular mass.

OBJECTIVES Plasma N-terminal pro brain natriuretic peptide (NT-proBNP) and R wave in aVL lead (RaVL) have been associated with mortality in hypertension. The aim of the current study was to compare the prognostic value of their combination to that of the left ventricular mass index (LVMI) assessed by echocardiography. METHODS A total of 1104 hypertensive patients who had at baseline an assessment of plasma NT-proBNP, a 12-lead ECG, and echocardiography were included. LVMI was assessable in 921 patients. After a median (interquartile range) follow-up of 8.5 (5.4-13.3) years, 110 deaths occurred, 62 of which were from a cardiovascular cause. RESULTS Optimal thresholds of RaVL and plasma NT-proBNP to predict mortality were 0.7 mV and 150 pg/ml, respectively. A three-modality variable based on RaVL and NT-proBNP was built: 0 when none were above the threshold, 1 or 2 when only one or both were above the threshold. After adjustment for all confounders including LVMI indexed to height raised to the allometric power of 2.7 in Cox regression analysis, we observed a significant increased risk for patients having one marker above the threshold for all-cause and cardiovascular mortality [hazard ratio: 1.76; 95% confidence interval (1.08-2.86); 2.18 (1.06-4.46)] and for those having two markers above the threshold [2.76 (1.51-5.03); 3.90 (1.69-9.00)]. The prognostic value of the combination had the highest C-index (0.772 and 0.839, respectively) in comparison with LVMI (0.746 and 0.806, respectively). CONCLUSION Risk stratification in hypertension using the combination of NT-proBNP and RaVL is a simple method that may be considered in first line screening.
Escherichia coli O 157 Cluster Evaluation

We investigated a multistate cluster of Escherichia coli O157:H7 isolates; pulsed-field gel electrophoresis subtyping, using a single enzyme, suggested an epidemiologic association. An investigation and additional subtyping, however, did not support the association. Confirming E. coli O157 clusters with two or more restriction endonucleases is necessary before public health resources are allocated to follow-up investigations.
Data-driven phenotype discovery of FMR1 premutation carriers in a population-based sample

Population screening and double-blind phenotyping confirm unique clinical profile in FMR1 premutation carriers. The impact of the FMR1 premutation on human health is the subject of considerable controversy. A fundamental unanswered question is whether carrying the premutation allele is directly correlated with clinical phenotypes. A challenging problem in past genotype-phenotype studies of the FMR1 premutation is ascertainment bias, which could lead to invalid research conclusions and negatively affect clinical practice. Here, we created the first population-based FMR1-informed biobank to find the pattern of health characteristics in premutation carriers. Our extensive phenotyping shows that premutation carriers experience a clinical profile that is significantly different from controls and is evident throughout adulthood. Comprehensive understanding of the clinical risk associated with this genetic variant is critical for premutation carriers, their families, and clinicians and has important implications for public health.
trajGANs : Using generative adversarial networks for geo-privacy protection of trajectory data ( Vision paper )

In this vision paper, we propose the trajGANs framework and address the potential of using generative adversarial networks for geo-privacy protection of trajectory data. Our goal is to provide a geoprivacy protection layer for trajectory data publication and usage by generating synthetic trajectories that can preserve the summary properties of real data and have close-to-real-data performance in analysis tasks. We summarize the trajectory types in geo-privacy protection and the possible data generation scenarios. We also provide validation metrics and address the possible challenges of implementing trajGANs.
“Kindhearted People, Please Save My Family”: Narrative Strategies for New Media Medical Crowdfunding

ABSTRACT With the development of new financing methods in the networked society, and due to the underdeveloped social security system in China, more and more patients and their families have to choose crowdfunding as an important way to raise treatment funds. Using thematic narrative analysis, this paper studied 100 texts of medical crowdfunding on Easy Fundraising from February 27, 2018 to May 1. It is found that the requests used a series of strategies including: constructing the identity of the patient in order to build a disadvantaged image worthy of help; using tragic narration based on the traditional Chinese cultural elements such as “family concept” and “filial piety” and contrast of the patients’ experience before and after the illness to mobilize the sympathy of potential donors; and downplaying the needs itself in order to maintain patients’ self-esteem.