Miracle-dz/UniFAR-FTUs huggingface dataset:
Mobility during the post-partum period and viraemia in women living with HIV in South Africa

Abstract Background We investigated the association between travel and viraemia in post-partum women with human immunodeficiency virus on antiretroviral therapy (ART). Methods Data are from a trial of post-partum ART delivery strategies. Women who initiated ART during pregnancy, were clinically stable with a viral load (VL) <400 copies/ml and were <10 weeks post-partum were enrolled at a primary care antenatal clinic in Cape Town, South Africa. Study visits at 3, 6, 12, 18 and 24 months post-partum included questions about travel, defined as ≥1 night spent outside of the city, and VL testing. Generalised mixed effects models assessed the association between travel and subsequent VL ≥400 copies/ml. Results Among 402 women (mean age 29 y, 35% born in the Western Cape), 69% reported one or more travel events over 24 months. Being born beyond the Western Cape (adjusted odds ratio [aOR] 2.03 [95% confidence interval {CI} 1.49 to 2.77]), duration post-partum in months (aOR 1.03 [95% CI 1.02 to 1.05]) and living with the child (aOR 0.60 [95% CI 0.38 to 0.93]) were associated with travel. In multivariable analyses, a travel event was associated with a 92% increase in the odds of a VL ≥400 copies/ml (aOR 1.92 [95% CI 1.19 to 3.10]). Conclusions Interventions to support women on ART who travel are urgently required.
Do prokinetic agents provide symptom relief through acceleration of gastric emptying? An update and revision of the existing evidence

Abstract Background Gastroparesis and functional dyspepsia are disorders characterized by upper gastrointestinal symptoms and multifaceted etiologies. One of the main therapeutic approaches is accelerating gastric emptying (GE) by means of prokinetic agents. Their efficacy has been demonstrated, although the association between symptom improvement and acceleration of emptying is less clear. Meta‐analyses have found contradictory results. Differences in applied methodology and included trials might drive these contradictions. Objective To provide a transparent meta‐analysis update to elucidate the association between symptom improvement and acceleration of GE due to gastroprokinetic agents available for long‐term use in patients with gastroparesis. Design Two approaches from earlier meta‐analyses were executed and compared. One analyzed the relative changes on active treatment versus baseline, the other compared the change from baseline on active treatment versus the change from baseline on placebo. Papers that reported sufficient numerical data for both analyses were selected. Both analyses included the same trials. Results Overall, both approaches yield the same positive direction of association between symptom improvement and acceleration of emptying (0.291 (−0.391, 0.972), p = 0.4 and 0.453 (0.123, 0.782), p = 0.007 for the active‐only and placebo‐controlled analysis respectively). The association between symptom improvement and GE acceleration for studies using optimal GE tests was either 0.028 (p > 0.9) or 0.463 (p = 0.007), and for sub‐optimal GE tests was either 0.370 (p = 0.4) or 0.052 (p > 0.9) depending on the used meta‐analysis methodology. Conclusions The applied methodology for GE testing, and the meta‐analysis substantially impacts the conclusion. When considering the clinically relevant outcome of improvement from baseline, symptoms and emptying improve with prokinetics, but no correlation is found between both aspects. When the change over placebo is considered, limiting the analysis to scientifically more rigorous study approaches, changes in emptying rate and symptom improvement are positively associated.
Impact of Interatrial Septal Reconstruction on Atrial Tachyarrhythmia after Surgical Resection of Myxoma

Background Complete surgical excision is the only curative treatment for primary cardiac tumors. For wide excision, interatrial septal reconstruction (ISR) is commonly performed. We hypothesized that ISR may increase the risk of postoperative atrial tachyarrhythmia (AT) after surgical resection of cardiac myxoma. Methods After excluding patients with a history of cardiac surgery and concomitant procedures unrelated to tumor resection and those with AT or permanent pacemakers, we finally enrolled 272 adult patients who underwent benign cardiac tumor surgery from 1995 to 2021 at our institution. They were divided into the ISR (n=184) and non-ISR (n=88) groups. The primary outcome was postoperative new-onset AT. Results The study cohort predominantly consisted of women (66.2%), with a mean age of 57.2±13.6 years. The incidence of postoperative new-onset AT was 15.4%. No 30-day mortality or recurrence was observed. The cardiopulmonary bypass time and aortic cross-clamping time were significantly longer in the ISR group than in the non-ISR group (p<0.001). The median duration of hospital stay of all patients was 6.0 days (interquartile range, 5.0–7.0 days), and no significant difference was observed between the 2 groups (p=0.329). ISR was not an independent predictor of new-onset AT (p=0.248). Male sex and hypertension were found to be independent predictors of new-onset AT. Conclusion ISR was not a significant predictor of postoperative new-onset AT. ISR might be a feasible and safe procedure for surgical resection of cardiac myxoma and should be considered if needed.
The human functional connectome in neurodegenerative diseases: relationship to pathology and clinical progression

ABSTRACT Introduction Neurodegenerative diseases can be considered as ‘disconnection syndromes,’ in which a communication breakdown prompts cognitive or motor dysfunction. Mathematical models applied to functional resting-state MRI allow for the organization of the brain into nodes and edges, which interact to form the functional brain connectome. Areas covered The authors discuss the recent applications of functional connectomics to neurodegenerative diseases, from preclinical diagnosis, to follow up along with the progressive changes in network organization, to the prediction of the progressive spread of neurodegeneration, to stratification of patients into prognostic groups, and to record responses to treatment. The authors searched PubMed using the terms ‘neurodegenerative diseases’ AND ‘fMRI’ AND ‘functional connectome’ OR ‘functional connectivity’ AND ‘connectomics’ OR ‘graph metrics’ OR ‘graph analysis. ’ The time range covered the past 20 years. Expert opinion Considering the great pathological and phenotypical heterogeneity of neurodegenerative diseases, identifying a common framework to diagnose, monitor and elaborate prognostic models is challenging. Graph analysis can describe the complexity of brain architectural rearrangements supporting the network-based hypothesis as unifying pathogenetic mechanism. Although a multidisciplinary team is needed to overcome the limit of methodologic complexity in clinical application, advanced methodologies are valuable tools to better characterize functional disconnection in neurodegeneration.
Magnetic permeability after-effect and the transition from Co-rich to Fe-rich amorphous alloys

Measurements of the after-effect of the initial magnetic permeability Δμ/μ , the saturation magnetostriction λ s and the magnetization I s have been performed at room temperature on Fe-rich, Co-rich and Co 75-x Fe x Si 15 B 10 (x = 0-50) amorphous alloys to study the dependence of Δμ/μ on the transition metal (Co-Fe). Results for Fe-rich and Co-rich alloys lie on two distinct curves. There is a transition region between these curves, corresponding to the alloys Co 75-x Fe x Si 15 B 10 (8.5 < x < 35), whose nature is discussed in terms of recent theories of the magnetic after-effect.
International multicenter study comparing COVID-19 in patients with cancer to patients without cancer: Impact of risk factors and treatment modalities on survivorship

Background: In this international multicenter study, we aimed to determine the independent risk factors associated with increased 30 day mortality and the impact of cancer and novel treatment modalities in a large group of patients with and without cancer with COVID-19 from multiple countries. Methods: We retrospectively collected de-identified data on a cohort of patients with and without cancer diagnosed with COVID-19 between January and November 2020 from 16 international centers. Results: We analyzed 3966 COVID-19 confirmed patients, 1115 with cancer and 2851 without cancer patients. Patients with cancer were more likely to be pancytopenic and have a smoking history, pulmonary disorders, hypertension, diabetes mellitus, and corticosteroid use in the preceding 2 wk (p≤0.01). In addition, they were more likely to present with higher inflammatory biomarkers (D-dimer, ferritin, and procalcitonin) but were less likely to present with clinical symptoms (p≤0.01). By country-adjusted multivariable logistic regression analyses, cancer was not found to be an independent risk factor for 30 day mortality (p=0.18), whereas lymphopenia was independently associated with increased mortality in all patients and in patients with cancer. Older age (≥65y) was the strongest predictor of 30 day mortality in all patients (OR = 4.47, p<0.0001). Remdesivir was the only therapeutic agent independently associated with decreased 30 day mortality (OR = 0.64, p=0.036). Among patients on low-flow oxygen at admission, patients who received remdesivir had a lower 30 day mortality rate than those who did not (5.9 vs 17.6%; p=0.03). Conclusions: Increased 30 day all-cause mortality from COVID-19 was not independently associated with cancer but was independently associated with lymphopenia often observed in hematolgic malignancy. Remdesivir, particularly in patients with cancer receiving low-flow oxygen, can reduce 30 day all-cause mortality. Funding: National Cancer Institute and National Institutes of Health.
The pathophysiology and management of vascular calcification in chronic kidney disease patients

ABSTRACT Introduction Vascular calcification (VC) which is the pathological mineral deposition in the vascular system, predominantly at the intimal and medial layer of the vessel wall, is an important comorbidity in patients with chronic kidney disease (CKD) leading to significant morbidity and mortality while necessitating appropriate treatment. Our review aims to provide an in-depth analysis of the current understanding of VC. Areas covered In this review, we first discuss the pathophysiology of VC in CKD patients, then we explain the methods to predict and assess VC. Afterwards, we provide the currently available as well as the potential therapeutic approaches of VC. We finally discuss our understanding regarding the current situation surrounding VC in our expert opinion section. Expert opinion Predicting, assessing and treating VC is crucial and the future advances in the field of research surrounding VC will potentially occur in one or more of these three areas of clinical management. There is a current lack of evidence and consensus regarding specific therapeutic options for alleviating VC and this situation may not necessitate VC to be determined, detected, and documented before the available options are implemented. Regardless, the prediction and assessment of VC is still important and requires further improvement together with the developments in therapeutic alternatives. The future has the potential to bring better research which would guide and improve the management of this patient group. A more specialized approach consisting of targeted therapies and more tailored management plans for patients with CKD and VC is on the horizon.
Fully resolved numerical simulation of particle-laden turbulent flow in a horizontal channel at a low Reynolds number

Abstract A fictitious domain method is used to perform fully resolved numerical simulations of particle-laden turbulent flow in a horizontal channel. The effects of large particles of diameter 0.05 and 0.1 times the channel height on the turbulence statistics and structures are investigated for different settling coefficients and volume fractions (0.79 %–7.08 %) for the channel Reynolds number being 5000. The results indicate the following. (a) When the particle sedimentation effect is negligible (i.e. neutrally buoyant), the presence of particles decreases the maximum r.m.s. of streamwise velocity fluctuation near the wall by weakening the intensity of the large-scale streamwise vortices, while increasing the r.m.s. of the streamwise fluctuating velocity in the region very close to the wall and in the centre region. On the other hand, the particles increase the r.m.s. of transverse and spanwise fluctuating velocities in the near-wall region by inducing the small-scale vortices. (b) When the particle settling effect is so substantial that most particles settle onto the bottom wall and form a particle sediment layer (SL), the SL plays the role of a rough wall and parts of the vortex structures shedding from the SL ascend into the core region and substantially increase the turbulence intensity there. (c) When the particle settling effect is moderate, the effects of particles on the turbulence are a combination of the former two situations, and the Shields number is a good parameter for measuring the particle settling effects (i.e. the particle concentration distribution in the transverse direction). The average velocities of the particle are smaller in the lower half-channel and larger in the upper half-channel compared to the local fluid velocities in the presence of gravity effects. The effects of the smaller particles on the turbulence are found to be stronger at the same particle volume fractions.
Oxidative stress and adverse cardiovascular effects among professional divers in Egypt

Abstract Professional divers are exposed to unique multifactorial hazards in their working environment and adverse cardiovascular effects such as ischemia, arrhythmia, stroke, and death are associated with professional diving. Cardiovascular events are aggravated by diving-induced oxidative stress and account for one-fourth of diving fatalities. This study aimed to measure oxidative and cardiovascular stress in a group of professional divers in Alexandria, Egypt using a panel of biomarkers. A comparative cross-sectional study was conducted between June 2017 and May 2018 at the General Naval Hospital in Alexandria. A total of 50 professional divers and a comparison group of 50 marine seafarers sharing similar maritime environments were enrolled in the study. Participants were clinically evaluated by electrocardiography (ECG) and plasma measurement of trace metals (Fe+, Cu+, and Zn+), electrolytes (Na+, K+, Ca+), and oxidative stress biomarkers (OSBMs; MDA, TAS, GST, GSH, GR, GPx, SOD, and CAT). Significant ECG abnormalities including short corrected QT interval, sinus bradycardia, left ventricular hypertrophy, early repolarization, first-degree heart block, and intraventricular conduction defect were identified among divers. Biochemical analyses revealed high mean levels of FBG [89.0 ± 12.46 vs. 100.5 ± 29.03 mg/dl], LDH-C [41.46 ± 4.01 vs. 39.34 ± 4.34 mg/dl], electrolyte imbalance [higher Na+ (9.44 ± 0.52 vs. 9.19 ± 0.60 mmol/L), and lower Ca+ (141.72 ± 3.53 and 143.26 ± 3.99 mmol/L)], disturbed trace metals [Fe+ and Zn+ (101.1 ± 38.17 vs. 147.6 ± 38.08 and 85.52 ± 27.37 vs. 116.6 ± 21.95 µm/dl, respectively), higher Cu+ (271.3 ± 75.01 vs. 100.8 ± 30.20 µm/dl)], and higher OSBMs (high MDA and reduced CAT, GPx, GSH, GR, and GST enzyme levels) among professional divers compared to the marine seafarers (t-test p < 0.05). Oxidative stress and trace metal imbalance are associated with the pathophysiology of cardiovascular disease; this association, together with electrophysiological changes of ECG may serve as biomarkers for cardiovascular risk assessment in diver periodic medical examinations.
Stochastic Cramer-Rao bound for direction estimation in unknown noise fields

The stochastic Cramer-Rao bound (CRB) plays an important role in array processing because several advanced high-resolution direction-of-arrival (DOA) estimation methods are known to achieve this bound asymptotically. In the paper, the stochastic CRB on the DOA estimation accuracy is studied in the general case of an arbitrary unknown noise field parameterised by a vector of unknowns. Explicit closed-form expressions for the CRB are derived and its properties are examined theoretically and by practically relevant numerical examples.
Quasi-Biennial Variations in the ``CENTERS of Action''

Abstract Quasi-biennial (about 28-mo) variations in surface pressure occur in the vicinity of the North Atlantic and North Pacific subtropical Highs and subpolar Lows, with harmonic amplitudes of order 0.4 mb. The subtropical Highs undergo quasi-biennial latitudinal and longitudinal oscillations averaging about 1° of latitude, with the Atlantic High apparently oscillating in the northeast-southwest direction and the Pacific High in the northwest-Southeast direction. The quasi-biennial pressure oscillations in the North Atlantic subpolar Low and subtropical High are almost out of phase, implying a relatively strong quasi-biennial variation in surface zonal wind in North Atlantic temperate latitudes. There is evidence for a quasi-biennial variation in frequency of hurricanes and typhoons in the North Atlantic and North Pacific, and of severe storms in the vicinity of India. Within the quasi-biennial framework, an above-average frequency of hurricanes or typhoons is associated with above-average pressure in .
The Hidden Power of Pure 16-bit Floating-Point Neural Networks

Lowering the precision of neural networks from the prevalent 32-bit precision has long been considered harmful to performance, despite the gain in space and time. Many works propose various techniques to implement half-precision neural networks, but none study pure 16-bit settings. This paper investigates the unexpected performance gain of pure 16-bit neural networks over the 32-bit networks in classiﬁcation tasks. We present extensive experimental results that favorably compare various 16-bit neural networks’ performance to those of the 32-bit models. In addition, a theoretical analysis of the efﬁciency of 16-bit models is provided, which is coupled with empirical evidence to back it up. Finally, we discuss situations in which low-precision training is indeed detri-mental.
Investigating Feature and Model Importance in Android Malware Detection: An Implemented Survey and Experimental Comparison of ML-Based Methods

The popularity of Android means it is a common target for malware. Over the years, various studies have found that machine learning models can effectively discriminate malware from benign applications. However, as the operating system evolves, so does malware, bringing into question the findings of these previous studies, many of which report very high accuracies using small, outdated, and often imbalanced datasets. In this paper, we reimplement 18 representative past works and reevaluate them using a balanced, relevant, and up-to-date dataset comprising 124,000 applications. We also carry out new experiments designed to fill holes in existing knowledge, and use our findings to identify the most effective features and models to use for Android malware detection within a contemporary environment. We show that high detection accuracies (up to 96.8%) can be achieved using features extracted through static analysis alone, yielding a modest benefit (1%) from using far more expensive dynamic analysis. API calls and opcodes are the most productive static and TCP network traffic provide the most predictive dynamic features. Random forests are generally the most effective model, outperforming more complex deep learning approaches. Whilst directly combining static and dynamic features is generally ineffective, ensembling models separately leads to performances comparable to the best models but using less brittle features.
Controlling Steering with Energy-Based Models

So-called implicit behavioral cloning with energy-based models has shown promising results in robotic manipulation tasks. We tested if the method's advantages carry on to controlling the steering of a real self-driving car with an end-to-end driving model. We performed an extensive comparison of the implicit behavioral cloning approach with explicit baseline approaches, all sharing the same neural network backbone architecture. Baseline explicit models were trained with regression (MAE) loss, classification loss (softmax and cross-entropy on a discretization), or as mixture density networks (MDN). While models using the energy-based formulation performed comparably to baseline approaches in terms of safety driver interventions, they had a higher whiteness measure, indicating higher jerk. To alleviate this, we show two methods that can be used to improve the smoothness of steering. We confirmed that energy-based models handle multimodalities slightly better than simple regression, but this did not translate to significantly better driving ability. We argue that the steering-only road-following task has too few multimodalities to benefit from energy-based models. This shows that applying implicit behavioral cloning to real-world tasks can be challenging, and further investigation is needed to bring out the theoretical advantages of energy-based models.
Solitons in the Gauged Skyrme-Maxwell Model

We consider soliton solutions of the U(1) gauged Skyrme model with the pion mass term. The domain of existence of gauged Skyrmions is restricted from above by the value of the pion mass. Concentrating on the solutions of topological degree one, we find that coupling to the electromagnetic field breaks the symmetry of the configurations, the Skyrmions carrying both an electric charge and a magnetic flux, with an induced dipole magnetic moment. The Skyrmions also possess an angular momentum, which is quantized in the units of the electric charge. The mass of the gauged Skyrmions monotonically decreases with increase of the gauge coupling.