Miracle-dz/UniFAR-FTUs huggingface dataset:
New Wound Management of Driveline Infections with Cold Atmospheric Plasma

The use of ventricular assist devices as a bridge to transplant or as destination therapy has increased. Wound complications increase morbidity in this cohort. Cold atmospheric plasma is a source of reactive oxygen and nitrogen species and can reduce the microbial load in skin wounds without negative effects on the surrounding tissue. We evaluated our cold atmospheric plasma treatment for LVAD driveline infections in a retrospective single-center study for peri- and postintervention outcome analysis. Between April 2019 and September 2019, 15 male patients were included (5 HVAD, 10 HeartMate III). The wounds were treated for a mean of 368.5 s with a reduction of bacterial load in treated wounds in 60% of patients, regardless of the pathogen. The most common pathogen was staphylococcus aureus (n = 8 patients). There was a significant reduction of the wound scale (scale 2.80 vs. 1.18; p < 0.001) plus a significant reduction in size (16.08 vs. 1.90 cm3; p = 0.047). Seven patients (46.6%) were free from any signs of local or systemic infection during 1-year follow-up. Five patients (33%) received a heart transplantation. Cold atmospheric plasma treatment is a potent, safe, and painless adjuvant technique for treating driveline infection without the need for repeating surgical interventions.
Data assimilation: The Schrödinger perspective

Data assimilation addresses the general problem of how to combine model-based predictions with partial and noisy observations of the process in an optimal manner. This survey focuses on sequential data assimilation techniques using probabilistic particle-based algorithms. In addition to surveying recent developments for discrete- and continuous-time data assimilation, both in terms of mathematical foundations and algorithmic implementations, we also provide a unifying framework from the perspective of coupling of measures, and Schrödinger’s boundary value problem for stochastic processes in particular.
Atomic properties calculated by relativistic coupled-cluster theory without truncation: Hyperfine constants of Mg + , Ca + , Sr + , and Ba +

We demonstrate an iterative scheme for coupled-cluster properties calculations without truncating the dressed properties operator. For validation, magnetic dipole hyperfine constants of alkaline Earth ions are calculated with relativistic coupled-cluster and role of electron correlation examined. Then, a detailed analysis of the higher order terms is carried out. Based on the results, we arrive at an optimal form of the dressed operator. Which we recommend for properties calculations with relativistic coupled-cluster theory.
Upregulation of Proinflammatory Variables of Analytical Importance and their Potential Interplay in the Pathogenesis of Rheumatoid Arthritis

Objective: Study role of the selected inflammatory markers and their importance in the development and progression of rheumatoid arthritis. Study Design: Cross-sectional study Place and Duration: Institute of Molecular Biology and Biotechnology, The University of Lahore, (11-months) Methodology: A total of 50 patients diagnosed with rheumatoid arthritis in the Department of Orthopedics (Allama Iqbal Medical College, Jinnah Hospital, Lahore-Pakistan) and 50 healthy individuals of the age of 35-45 were included into the study. Glutathione, Catalase, Maliondialdehyde, Superoxide dismutase, Glutathione peroxidase, Nitric oxide (NO) and vitamin C, E and A was estimated spectrophotometrically. Serum C-Reactive Protein, IL-21, TNF-α, AOPPs, AGE’s and MMP-3 was measured by ELISA method using Human-ELISA kits (Glory) Results: A statistically noteworthy raise of all the biomarkers level in serum of rheumatoid arthritis (RA) was seen (p=0.001) comparable with healthy individuals. The correlation between joint damage progression diagnostic biomarker AGE and MMP-3 levels (r=0.485, 95% p=0.001) was highly significant. CRP and IL-21 also showed highly significant raise in joint inflammation (r=0.359, p=0.001). The results significantly depicted that model of MMP-3 levels at the onset of the disease and CRP and IL-21 were the robust interpreters of the erosion development. Similarly, antioxidants including Vitamin E, Vitamin C and Vitamin A were decreased in levels of (p<0.011), (p<0.011) and (p<0.022) respectively in RA subjects than in control subjects. Vitamin E, C and A are the most imperative free radical foragers within membrane. They also act as the major line of resistance against free radicals. Conclusion: Development of pain in joints in rheumatoid arthritis condition is due to the increase in the oxidative stress which is the key contrivance in the pathogenesis of RA. Keyword: Reactive oxygen species, Oxidative stress, oxidation of lipid peroxides, Rheumatoid arthritis, Osteoarthritis, osteocyte damage.
On the Configuration Space of Planar Closed Kinematic Chains

A planar kinematic chain consists of $n$ links connected by joints. In this work we investigate the space of configurations, described in terms of joint angles, that guarantee that the kinematic chain is closed. We give explicit formulas expressing the joint angles that guarantee closedness by a new set of parameters. Moreover, it turns out that this parameters are contained in a domain that possesses a simple structure. We expect that the new insight can be applied for several issues such as motion planning for closed kinematic chains or singularity analysis of their configuration spaces. In order to demonstrate practicality of the new method we present numerical examples.
Sigmoid Venous Thrombosis in JAK2 V617F Mutated Polycythemia Vera

A 60-year-old female presented with headaches, blurry vision, diplopia, and dizziness for six weeks. Her workup revealed an elevated hematocrit, thrombocytosis, high ferritin, and normal erythropoietin. She was diagnosed with polycythemia vera with the JAK2 V617F mutation. The patient underwent magnetic resonance venography, which showed left-sided sigmoid venous thrombosis. She was placed on low-molecular-weight heparin, with a plan to transition to oral anticoagulation after four weeks and repeat imaging in three months to assess for resolution. Thrombotic events may occur in patients with polycythemia vera, and a JAK2 mutation further heightens that risk. Even so, intracranial venous thrombosis is not among the most common events, and it should be kept in the differential for any patient with myeloproliferative neoplasms presenting with new neurological symptoms.
Table understanding: Problem overview

Tables are probably the most natural way to represent relational data in various media and formats. They store a large number of valuable facts that could be utilized for question answering, knowledge base population, natural language generation, and other applications. However, many tables are not accompanied by semantics for the automatic interpretation of the information they present. Table Understanding (TU) aims at recovering the missing semantics that enables the extraction of facts from tables. This problem covers a range of issues from table detection in document images to semantic table interpretation with the help of external knowledge bases. To date, the TU research has been ongoing on for 30 years. Nevertheless, there is no common point of view on the scope of TU; the terminology still needs agreement and unification. In recent years, science and technology have shown a rapidly increasing interest in TU. Nowadays, it is especially important to check the meaning of this research problem once again. This article gives a comprehensive characterization of the TU problem, including a description of its subproblems, tasks, subtasks, and applications. It also discusses the common limitations used in the existing problem statements and proposes some directions for further research that would help overcome the corresponding limitations.
Limiting spectral distribution of the product of truncated Haar unitary matrices

Let [Formula: see text], [Formula: see text], be [Formula: see text] probabilistically independent matrices of order [Formula: see text] (with [Formula: see text]) which are the left-uppermost blocks of [Formula: see text] Haar unitary matrices. Suppose that [Formula: see text] as [Formula: see text], with [Formula: see text]. Using free probability and Brown measure techniques, we find the limiting spectral distribution of [Formula: see text].
Nearly lattice-matched n, i, and p layers for InGaN p-i-n photodiodes in the 365–500nm spectral range

We report on nearly lattice-matched grown InGaN based p-i-n photodiodes detecting in the 365–500nm range with tunable peak responsivity tailored by the i-layer properties. The growth of lattice matched i- and n-InGaN layer leads to improvement in the device performance. This approach produced photodiodes with zero-bias responsivities up to 0.037A∕W at 426nm, corresponding to 15.5% internal quantum efficiency. The peak responsivity wavelength ranged between 416 and 466nm, the longest reported for III-N photodiodes. The effects of InN content and i-layer thickness on photodiode properties and performance are discussed.
Coloring Operads for Algebraic Field Theory

In these proceedings we summarize previous work where we formalize a general concept of algebraic field theories using operads. After giving a gentle reminder of algebraic quantum field theory, operads and their algebras, we construct field theory operads, whose algebras are exactly algebraic field theories. Specifically, they satisfy a suitable version of the Einstein causality axiom. From this construction we get adjunctions between different types of field theories, including adjunctions related to local‐to‐global extensions and the time‐slice axiom, and a quantization functor for linear field theories that is compatible with these structures. We also take first steps towards a derived linear quantization functor.
Flow polytopes of signed graphs and the Kostant partition function

We establish the relationship between volumes of flow polytopes associated to signed graphs and the Kostant partition function. A special case of this relationship, namely, when the graphs are signless, has been studied in detail by Baldoni and Vergne using techniques of residues. In contrast with their approach, we provide entirely combinatorial proofs inspired by the work of Postnikov and Stanley on flow polytopes. As a fascinating special family of flow polytopes, we study the Chan-Robbins-Yuen polytopes. Motivated by the beautiful volume formula $\prod_{k=1}^{n-2} Cat(k)$ for the type $A_n$ version, where $Cat(k)$ is the $k$th Catalan number, we introduce type $C_{n+1}$ and $D_{n+1}$ Chan-Robbins-Yuen polytopes along with intriguing conjectures pertaining to their properties.
Erroneous diagnosis of COVID-19 mRNA vaccine–associated acute myocarditis due to false-positive high-sensitive troponin I assay: a case report

Abstract Background Coronavirus disease 2019 (COVID-19) mRNA vaccine–associated acute myocarditis has been well described, and the demonstration of elevated high-sensitivity cardiac troponin (hs-cTn) is crucial for its diagnosis. However, falsely elevated hs-cTn can occasionally occur, leading to incorrect diagnosis. Here, we report the case of a patient who was given an erroneous diagnosis of COVID-19 mRNA vaccine–associated acute myocarditis due to falsely elevated hs-cTn, likely from assay interference. Case summary A 29-year-old Chinese male presented with 3 months of chest pain, dyspnoea, and palpitations starting a few days after his second dose of mRNA-1273 (Moderna) vaccine. High-sensitivity cardiac troponin I was elevated at presentation, which rose further 4 h later. The provisional diagnosis was acute myocarditis after a computed tomography coronary angiogram showed normal coronaries. Cardiac magnetic resonance was also negative for myocardial inflammation. The hs-cTn I levels fluctuated but remained elevated on outpatient serial testing, despite no new symptoms or clinical events. A paired serum sample showed elevated hs-cTn I but normal hs-cTn T, confirming a diagnosis of false-positive hs-cTn I. Further investigations, including blood tests before and after a subsequent uneventful mRNA-1273 booster vaccination, were performed to investigate for assay interference. Discussion Widespread COVID-19 mRNA vaccination has resulted in an awareness of vaccine-related acute myocarditis and a more thorough evaluation of post-vaccination cardiac symptoms. Although false-positive hs-cTn rarely occurs, extensive testing will inevitably result in a significant number of patients with falsely elevated hs-cTn. Clinicians should exclude this possibility and consider using alternative hs-cTn assay when investigation results and clinical presentation appear discordant.
Multi-UAV Interference Coordination via Joint Trajectory and Power Control

Recently, unmanned aerial vehicles (UAVs) have found growing applications in wireless communications and sensor networks. One of the key challenges for UAV-based wireless networks lies in managing the strong cross-link interference caused by the line-of-sight dominated propagation conditions. In this article, we address this challenge by studying a UAV-enabled interference channel (UAV-IC), where each of the $K$ UAVs communicates with its associated ground terminal. To exploit the new degree of freedom of UAV mobility, we formulate a joint trajectory and power control (TPC) problem for maximizing the aggregate sum rate of the UAV-IC for a given flight interval, under practical constraints on the UAV flying speed, altitude, and collision avoidance. These constraints couple the TPC variables across different time slots and UAVs, leading to a challenging large-scale and non-convex optimization problem. We show that the optimal TPC solution follows the fly--hover--fly strategy, based on which the problem can be handled first by finding optimal hovering locations followed by solving a dimension-reduced TPC problem. For the reduced TPC problem, we propose a successive convex approximation algorithm. To further reduce the computation time, we develop a parallel TPC algorithm that is efficiently implementable over multi-core CPUs. We also propose a segment-by-segment method that decomposes the TPC problem into sequential TPC subproblems each with a smaller problem dimension. Simulation results demonstrate the superior computation time efficiency of the proposed algorithms, and also show that the UAV-IC can yield higher network sum rate than the benchmark orthogonal schemes.
Deligne-Beilinson Cohomology of Affine Groups

The goal of this paper is to develop the theory of Deligne-Beilinson cohomology of affine groups with a mixed Hodge structure. The motivation comes from Hodge theory and the study of motives, where such groups appear. Several of Francis Brown's period computations (arXiv:1407.5167) are interpreted as elements of the DB cohomology of the relative unipotent completion of $SL_2(Z)$ and their cup products. The results in this paper are used in arXiv:1403.6443 where they are used to prove that Pollack's quadratic relations are motivic.
A Multi-Model Prediction Method for Coal Mine Gas Concentration with Hierarchical Structure

ABSTRACT The low concentration of gas in the gas blending process is influenced by a number of factors and is characterized by some time variation and non-linearity. Therefore, the gas concentration needs to be predicted. This paper proposes a multi-model forecasting method with a hierarchical structure. First, because the measured gas concentration time-series data contain a lot of noise, the time-series data are decomposed into several independent eigenmode functions by using empirical mode decomposition, adaptively denoising by low-pass filtering, and then using phase space reconstruction technology to obtain a new time-series sample. Then, the training samples are grouped by conditional fuzzy clustering to determine the number of sub-modules. Finally, the maximum membership method is used to select sub-models and sub-sub-models, and then a multi-model time-series prediction model is established. The model can not only select different sub-models to process data in different regions but also can process each data jointly by multiple sub-models in different sub-models. Experiments were carried out on low-concentration measured data extracted from mines. The experimental results show that the proposed prediction model can capture the nonlinear characteristics of gas concentration time series and is superior to other existing prediction models in accuracy.
The Comparison of Anthropometry and Quality of Life Before and During Ramadan Fasting Among Healthy Adult Population in Kuala Nerus, Terengganu

Ramadan fasting is a tenet of Islam where eating, drinking, taking medication and engaging in sexual activities are prohibited for all Muslims during daylight1. This religious fasting changed the food frequency and quantity, physical activity and sleep duration at night. Previous evidence has linked Ramadhan fasting with a positive effect on body weight was obseved2. In fact, increasing spiritual activities during this month might provide positive impact on emotion and mental health3. Therefore, this study aims to determine the comparison between anthropometry measurement and quality of life before and during Ramadhan fasting. This cross-sectional study was conducted on 84 healthy adult populations in Kuala Nerus. The mean age of participants was 22.57±3.8 years old with 85% of them were female and 15% were Malay male. The assessment of anthropometry consists of weight, body mass index, body fat percentage, total body water, total muscle mass and waist circumference. Waist circumference was obtained by measuring the narrowest part of torso or the midpoint between the last rib and hipbone using SECA measuring tape while height was assessed using stadiometer. Other anthropometric data were measured using Tanita BC-540 Body InnerScan, an electronic weighing scale with a precision of 0.1 kilograms. BMI is calculated by dividing weight (kg) by square of height (meter). The quality of life was assessed using a short form-36 questionnaire (SF-36) where eight domains of quality of life were included (physical functioning, role of limitation due to physical health, role of limitation due to emotional problem, energy/fatigue, emotional well-being, social functioning, pain and general health). All outcomes were measured twice; before Ramadan (one to two weeks prior to Ramadhan month) and during Ramadan (week 2 to 4 of Ramadhan month). Results revealed that body weight (p<0.001) body mass index (BMI) (p<0.001) and waist circumference (p=0.043) were significantly reduced during Ramadhan month with no significant changes in body fat percentage, total body water, and total muscle were evidenced among participants. For the quality of life, the domain of role limitations due to emotional problems has been observed to be improved during Ramadhan compared to before Ramadhan (p= 0.010). This study also found that body fat percentage was negatively correlated with physical functioning (r=-0.25, p=0.025) while waist circumference was positively correlated with energy level and fatigue (r= 0.25, p=0.025). This study provides evidence on the benefit of practicing Ramadan fasting among a healthy adult population where significant reduction of anthropometry (body weight, body mass index and waist circumference) and significant improvement of quality of life were observed. However, a wider population supported with biomarkers data is suggested for future studies to provide a better understanding in the benefit of Ramadhan Fasting on overall health.
Stakeholder Perspectives of Australia’s National HPV Vaccination Program

Australia has been a world leader in human papillomavirus (HPV) vaccination and was the first country to implement a fully funded national HPV vaccination program, from 2007 for girls and 2013 for boys. In 2018 the program changed from a 4-valent to 9-valent HPV vaccine and a 3-dose to 2-dose standard schedule. We assessed stakeholder perspectives on factors influencing program outcomes and impact as part of a comprehensive program evaluation. In late 2019 and early 2020, we conducted 26 interviews with 42 key stakeholder participants and received 1513 survey responses from stakeholders including general practice staff and school-based nurse immunisers. Findings included that the 2-dose schedule is better accepted by schools and students and has reduced program cost and resource requirements. However, course completion rates have not increased as much as anticipated due to the 6–12 month dosing interval and reduced opportunities for school-based catch-up vaccination. Major reported barriers to increased vaccine coverage were absenteeism and consent form return. Vaccine hesitancy is not currently a major issue but remains a potential threat to the program. While Australia’s HPV vaccination program is perceived as highly successful, measures to further enhance the program’s impact and mitigate potential threats are important.
Role of free carriers from two-photon absorption in Raman amplification in silicon-on-insulator waveguides

We show experimentally that free carriers generated by two-photon-absorption in silicon-on-insulator (SOI) waveguides can introduce large losses which limit the usable pump power for Raman amplification at telecommunication wavelengths. The measured pump loss agreed with a theoretical model of the free-carrier absorption arising from two-photon-induced free carrier generation inside the waveguide.
Development of Root Caries Prevention by Nano-Hydroxyapatite Coating and Improvement of Dentin Acid Resistance

There is no established method for optimizing the use of dentin to prevent root caries, which are increasing in the elderly population. This study aimed to develop a new approach for root caries prevention by focusing on bioapatite (BioHap), a new biomaterial, combined with fluoride. Bovine dentin was used as a sample, and an acid challenge was performed in three groups: no fluoride (control group), acidulated phosphate fluoride treatment (APF group), and BioHap + APF treatment (BioHap group). After applying the new compound, the acid resistance of dentin was compared with that of APF alone. The BioHap group had fewer defects and an increased surface hardness than the APF group. The BioHap group had the smallest lesion depth and least mineral loss among all groups. Using a scanning electron microscope in the BioHap group showed the closure of dentinal tubules and a coating on the surface. The BioHap group maintained a coating and had higher acid resistance than the APF group. The coating prevents acid penetration, and the small particle size of BioHap and its excellent reactivity with fluoride are thought to have contributed to the improvement of acid resistance in dentin. Topical fluoride application using BioHap protects against root caries.
Local Density-based Hierarchical Clustering using Minimum Spanning Tree

Abstract In this paper, we propose a clustering algorithm to find clusters of different sizes, shapes and densities. Density and Hierarchical based approaches are adopted in the algorithm using Minimum Spanning Tree, resulting in a new algorithm – Local Density-based Hierarchical Clustering Algorithm using Minimum Spanning Tree (LDHCMST). The algorithm is divided into two stages. In the first stage, local density is estimated at each data point. In the second stage, hierarchical approach is used by merging clusters according to the cluster distance. The proposed algorithm improves the effectiveness of clustering result in which data are distributed in different shapes and different density, and that it can get a better clustering efficiency.