Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation between Macruz Index and left atrial enlargement in dogs with myxomatous mitral valve disease

The Macruz Index is a simple electrocardiographic methodology indicated in the evaluation of possible left atrial remodeling in human medicine. In dogs, the main cause of left atrial remodeling is mitral valve myxomatous degeneration, a degenerative valvulopathy with high occurrence in the routine of the veterinary clinic. Thus, the objective was to determine the values of the Macruz Index and correlate them with the echocardiographic variable left atrium/aorta ratio in dogs with valvulopathy. For this, 11 healthy dogs, male and female, aged between 2 and 8 years, weighing up to 10 kg were selected; together with 60 dogs with mitral valve myxomatous degeneration, small breed and ages 7 to 17 years, which were subdivided into groups according to the class of congestive heart failure - B1 (n=20), B2 (n=20) and C (n=20). All dogs in the present study underwent clinical cardiological, electrocardiographic and echocardiographic evaluation in order to obtain the values of the Macruz Index and the left atrium/aorta ratio. The results showed a significant difference (p<0.05) between the values of the Macruz Index of healthy dogs compared to the groups of dogs with the studied valvular disease (class B2 and C1). However, its correlation with the values of the left atrium/aorta ratio obtained in dogs with mitral valve myxomatous degeneration according to the congestive heart failure classes was low, positive and not statistically significant. Thus, we can conclude that the Macruz Index suggests left atrial remodeling in dogs with mitral valve myxomatous degeneration compared to healthy dogs. However, it does not correlate or evidence progressive left atrial remodeling between classes of congestive heart failure.
Search for rare purely leptonic decays at LHCb

Rare lepton decays of the B(s), D and K mesons are sensitive probes of New Physics. In particular, the search for the decays $B^0_(s) -> \mu^+ \mu^-$ provides information on the presence of new (pseudo-)scalar particles. LHCb is well suited for these analyses due to its large acceptance and trigger efficiency, as well as its excellent invariant mass resolution and lepton identification capabilities. The status of these analyses with $\sim1$ fb$^{-1}$ of pp collisions collected by LHCb in 2011 at $\sqrt{s}=7$ TeV is reviewed.
A deterministic annealing algorithm for a combinatorial optimization problem by the use of replicator equations

We have proposed an optimization method for a combinatorial optimization problem based on successive bifurcation characteristics of a replicator equation, and to obtain a good approximate solution of the optimization problem, a deterministic annealing algorithm has been applied. During the annealing process, bifurcations of equilibrium solutions occur and the bifurcation structure affects the performance of the deterministic annealing algorithm. In the paper, the bifurcation structure of the proposed dynamic system is analyzed in detail. It is shown that only pitchfork bifurcations occur in the annealing process, and the solution obtained by the annealing is the branch uniquely connected with the uniform solution. In many cases, the solution corresponds to a good approximate solution of the optimization problem.
Generation of Ultra-High Signal to Noise Ratio Harmonics in an All-Polarization-Maintaining Fiber Laser

Harmonic mode locking (HML) was proved to be an effectively technique for generating high repetition rate ultrafast pulses. However, none of the various research methods currently used could improve the defects of HML's low signal to noise ratio (SNR), mostly less than 40 dB, limiting its further application. Using the self-made single walled carbon nanotubes (SWCNTs) as saturable absorber (SA) in an erbium-doped fiber laser to obtain HML pulses with an ultra-high SNR (>62 dB) was reported here. A series of harmonics from fundamental frequency to sixth orders could be observed by simply increasing the pump power, and the all-polarization-maintaining (PM) fiber path ensured time domain frequency stability. Moreover, by adjusting the polarization direction of the directional SA, a stable traditional soliton pulse was obtained. In this mode, the repetition frequency no longer split with the increase of pump power, and the SNR was as high as 83 dB. Such an environmentally stable, all-PM fiber, versatile operations laser could not only expand the industrial application prospects of high repetition frequency HML pulses, but also be an excellent seed source for ultra-high-power lasers research.
Prevalence and Genotyping of HPV in Oral Squamous Cell Carcinoma in Northern Brazil

Highly oncogenic human papillomavirus (HPV) is well known to be associated with and a risk factor for various types of oral carcinomas such as oral squamous cell carcinoma (OSCC). The aim of this study was to evaluate and describe the HPV-induced OSCC prevalence and genotyping in the city of Belém, northern Brazil. This cross-sectional study features 101 participants who attended an oral pathology referral center in a dental college looking for diagnoses of oral lesions (OL). After signing the consent term and meeting the inclusion criteria, all participants went through a sociodemographic and epidemiological questionnaire. Then, OL were collected by excisional or incisional biopsy depending on OL size; after that, OL tissues were preserved in paraffin blocks to histopathological diagnoses. Afterwards, paraffin blocks were divided into benign and malignant/premalignant lesions based on the classification of potentially malignant disorders of the oral and oropharyngeal mucosa. Then, the paraffin blocks had DNA extraction performed by the ReliaPrep FFPE gDNA Miniprep method in order to identify HPV DNA of high oncogenic risk and low oncogenic risk. Then, the viral DNA was amplified and typed using the Inno-Lipa genotyping Extra II method, and the collected data were analyzed by Chi-square and G-tests. In total, 59/101 (58.4%) OL were malignant/premalignant lesions, of which OSCC was the most prevalent with 40/59 (67.7%) and 42/101 (41.6%) benign lesions. The most common area of OL incidence was upper gingiva 46/101 (45.5%). Regarding HPV DNA detection, approximately 27/101 (26.7%) had positive results; of these, 17/59 (28.8%) were malignant/premalignant lesions, and the most prevalent genotypes detected were 16, 18, 52 and 58, while among benign lesions, 10/42 (66.6%) had HPV-positive results, and the most prevalent genotypes detected were 6, 11 and 42. Age range was the only risk factor with a significant association between HPV and OSCC presence (p-value: 0.0004). A correlation between OSCC and oral HPV among analyzed samples could not be demonstrated in our small cohort.
Is Health Literacy Clue on the Self-Efficacy of Diabetes Patients?

Objective: This research was conducted to evaluate the relationship between health literacy level and self-efficacy in patients with diabetes mellitus. Methods: This cross-sectional study was conducted inpatient and outpatient clinic of internal medicine at the city hospital. The sample of the study consisted of 700 conscious patients diagnosed with diabetes mellitus for at least one year. The data of the study were collected using the Health Literacy Questionnaire-European Union Scale and Type 2 Diabetes Self-Efficacy Scale. Data were analyzed using regression analysis and correlation analyses. Results: In this study, the level of health literacy general index was sufficient level, and the average of the self-efficacy scale was high. It was observed that health promotion and health service literacy level were effectived in estimating the self-efficacy level of diabetes patients. As the health literacy level of patients for health service and health promotion increased, general self-efficacy level increased. Conclusion: Health promotion and health service literacy level are effective in estimating the self-efficacy level of diabetes patients.
Monetary Policy Under Uncertainty: The Case of COVID-19 Health Crisis in Morocco

The COVID-19 health crisis marked the beginning of a series of shocks that are a source of uncertainty that impacts the decision-making process of central banks around the world. The aim of this paper is to analyze the conduct of Morocco's monetary policy in a context of uncertainty, that of the COVID-19 health crisis. The results of our analysis have shown that in a context of uncertainty, the central bank is called upon to increase its communication to better guide the expectations of economic agents and ensure better transmission of the various monetary policy measures to the real economy. In addition, it must show itself to be credible by transmitting clear signals to restore the confidence of economic agents. However, central bank action alone is not enough. Conditions must be met, on the credit supply and credit demand sides, to remedy the structural imbalances that are holding back the competitiveness of our economy and to counter uncertainty.
Managing Prefetchers With Deep Reinforcement Learning

We aim to reduce contention caused by multiple aggressive prefetchers on shared resources (e.g., LLC and memory bandwidth) with a multi-agent reinforcement learning scheme. The agent finds what prefetchers to use and determines how aggressive they should be at any time during the execution. To do so, we utilize a highly scalable action branching agent that features a shared network module followed by several network branches. The shared network tracks the overall state of the processor while each branch in the network branches focuses on one specific prefetcher. We train the network by running 20 randomly mixed benchmarks, and measure the performance for 100 unseen mixes. Our experimental results show that our proposed method reduces the memory bandwidth by 19% while delivering similar performance compared to a very competitive baseline.
Practical Model for Short-Circuit Current Calculation of Photovoltaic Power Station Based on Improved RLS Algorithm

In recent years, with the rapid economic development, the development speed of all walks of life has entered a new level, and the power industry has also developed rapidly. Driven by market demand, China’s power transmission range and power transmission capacity will enter a new level. At the same time, the problems brought about by the development of the power system are equally severe. Due to the large load density in individual areas, the detection of short-circuit current must be improved as an important issue. The purpose of this paper is to study how to improve the practical model of short-circuit current calculation of photovoltaic power plants, so that it can be well applied to the current high-density current detection in China. Therefore, this paper improves the recursive least squares (RLS) algorithm and applies it to the practical model of short-circuit current calculation of photovoltaic power plants and describes the improvement process of the algorithm in detail. At the same time, this paper designs relevant experiments and analysis to count the data of the improved RLS algorithm in the short-circuit current calculation of the actual photovoltaic power station and combines the data of this part to test and analyze the ability of the algorithm. The experimental results in this paper show that the improved RLS algorithm has a very good improvement in the calculation accuracy of the short-circuit current calculation of photovoltaic power plants in the actual model calculation. At the same time, the calculation efficiency is also improved, and the current tracking effect is also improved by 7%.
Histone Deacetylase Inhibitors as a Therapeutic Strategy to Eliminate Neoplastic “Stromal” Cells from Giant Cell Tumors of Bone

Simple Summary Giant cell tumor of bone (GCTB) is an intermediate bone neoplasm which consists of several cell populations, including the neoplastic “stromal” cells. These cells harbor a mutation in one of the histone H3.3 genes (H3F3A), and are therefore considered as the driving component of GCTB. This mutation causes changes in the epigenetic landscape, leading to aberrant gene expression patterns that may drive tumor growth. Surgery is currently the only curative treatment option because contemporary systemic therapies cannot remove the neoplastic cells from GCTB lesions, leading to re-outgrowth of the tumor when the treatment is discontinued. Therefore, the aim of this study was to explore whether therapeutic targeting of the epigenome can eliminate the neoplastic cells from GCTB lesions. The findings from this study indicate that histone deacetylase (HDAC) inhibitors may represent such a treatment strategy, which could improve the quality of life of GCTB patients who currently require life-long treatment. Abstract The neoplastic “stromal” cells in giant cell tumor of bone (GCTB) harbor a mutation in the H3F3A gene, which causes alterations in the epigenome. Current systemic targeted therapies, such as denosumab, do not affect the neoplastic cells, resulting in relapse upon treatment discontinuation. Therefore, this study examined whether targeting the epigenome could eliminate the neoplastic cells from GCTB. We established four novel cell lines of neoplastic “stromal” cells that expressed the H3F3A p.G34W mutation. These cell lines were used to perform an epigenetics compound screen (n = 128), which identified histone deacetylase (HDAC) inhibitors as key epigenetic regulators in the neoplastic cells. Transcriptome analysis revealed that the neoplastic cells expressed all HDAC isoforms, except for HDAC4. Therefore, five HDAC inhibitors targeting different HDAC subtypes were selected for further studies. All GCTB cell lines were very sensitive to HDAC inhibition in both 2D and 3D in vitro models, and inductions in histone acetylation, as well as apoptosis, were observed. Thus, HDAC inhibition may represent a promising therapeutic strategy to eliminate the neoplastic cells from GCTB lesions, which remains the paramount objective for GCTB patients who require life-long treatment with denosumab.
On the Blasius correlation for friction factors

The Blasius empirical correlation for turbulent pipe friction factors is derived from first principles and extended to non-Newtonian power law fluids. Two alternative formulations are obtained that both correlate well with the experimental measurements of Dodge, Bogue and Yoo. Key words: Blasius, turbulent friction factor, power law fluids
ENVIRONMENTAL IMPACTS OF HUMANITY’S CARELESSNESS PART III: LANDFILL WASTES AND PESTICIDES

We, humans, have invented many technologies in the past few decades to enhance our lifestyles. Some of them induce the invention of electronics like cell phones, better cooking apparatuses, plastics, and insecticides for better farming. These inventions are utilitarian at first look, but the other side of them greatly goes missing. We are still manufacturing tons of cell phones, whereas the old disposed phones are not properly recycled, hence they stay in the landfills polluting the environment. The toxic elements required to manufacture such electronics also have similar effects. Moreover, the convenient cooking apparatuses are coated with chemicals that are harmful to humans. Similarly, the insecticides, used for better farming are actually deleterious in the long run.
State of Charge Estimation of Lithium-Ion Battery for Electric Vehicles under Extreme Operating Temperatures Based on an Adaptive Temporal Convolutional Network

The accurate estimation of state of charge (SOC) under various conditions is critical to the research and application of batteries, especially at extreme temperatures. However, few studies have examined the SOC estimation performance of estimation algorithms for several types of batteries under such conditions. In this study, a new method was derived for SOC estimation and a series of experiments were conducted covering five types of lithium-ion batteries with three kinds of cathode materials (i.e., LiFePO4, Li(Ni0.5Co0.2Mn0.3)O2, and LiCoO2), three test temperatures, and four real driving cycles to verify the proposed method. The test temperatures for battery operation ranges from −20 to 60 °C. Then, an adaptive machine learning (ML) framework based on the deep temporal convolutional network (TCN) and Coulomb counting method was proposed, and the structure of the estimation model was designed through the Taguchi method. The accuracy and generalizability of the proposed method were evaluated by calculating the estimation errors and their standard deviations (SDs), its average errors showed a decline of at least 49.66%, and its SDs showed a decline of at least 45.88% when compared to four popular ML methods. These traditional ML methods performed poor accuracy and stability at extreme temperatures (−20 and 60 °C) when compared to 25 °C, while the proposed adaptive method exhibited stable and high performances at different temperatures.
Video Laryngoscopy Using King Vision™ aBlade™ and Direct Laryngoscopy in Paediatric Airway Management: A Randomized Controlled Study about Device Learning by Anaesthesia Residents

Background: Airway management in children is challenging due to anatomical and physiological differences. This randomized trial investigates whether anaesthesia residents can intubate the paediatric trachea more quickly and with a higher success rate using the King Vision™ Paediatric aBlade™ video laryngoscope (KVL) compared to conventional direct laryngoscopy (DL). Methods: Eleven anaesthesia residents (mean age: 31 years, mean training status 47 months) were each asked to perform intubations with the KVL and DL in paediatric patients. The primary outcome was the first-attempt success rate. Secondary outcomes were the time to best view (TTBV), time to placement of the tracheal tube (TTP), time to ventilation (TTV), and participant-reported ease of use on a Likert scale. Results: 105 intubations with the KVL and 106 DL were performed by the residents. The success rate on the first attempt with the KVL was 81%, and the success rate on the first attempt within a given time limit of 30 s was 45%, which was lower than with DL (93% and 77% with time limit, p < 0.01). The median TTBV [IQR] on the first attempt with KVL was 7 [5–10] s, the median TTP was 28 [19–44] s, and the median TTV was 51 [39–66] s. DL-mediated intubation was significantly faster (TTP: 17 [13–23] s; p < 0.0001 and TTV: 34 [28–44] s; p < 0.001). Application of the KVL was rated as difficult or very difficult by 60% of the residents (DL: 5%). Conclusion: In contrast to promising data on the paediatric training manikin, residents took longer to intubate the airway in children with the KVL and were less successful compared to the DL. Therefore, the KVL should not be recommended for learning paediatric intubation by residents.
Analysis and Control of Pedestrian Congestion in the Metro Station Under Type-2 Fuzzy Theory

The study of metro station pedestrian flow is of help to maintain the stability for the metro station. In this paper, interval type-2 fuzzy sets and fuzzy comprehension evaluation are used in the analysis of the congestion situation of the metro station, and the linguistic dynamics model of metro station evacuation is established by using fuzzy control rules, and finally, a new framework of pedestrian flow evacuation system of the metro station is proposed by combining parallel control, which can help the metro station release congestion when in an emergency.
Constraining primordial magnetic fields with future cosmic shear surveys

The origin of astrophysical magnetic fields observed in galaxies and clusters of galaxies is still unclear. One possibility is that primordial magnetic fields generated in the early Universe provide seeds that grow through compression and turbulence during structure formation. A cosmological magnetic field present prior to recombination would produce substantial matter clustering at intermediate/small scales, on top of the standard inflationary power spectrum. In this work we study the effect of this alteration on one particular cosmological observable, cosmic shear. We adopt the semi-analytic halo model in order to describe the non-linear clustering of matter, and feed it with the altered mass variance induced by primordial magnetic fields. We find that the convergence power spectrum is, as expected, substantially enhanced at intermediate/small angular scales, with the exact amplitude of the enhancement depending on the magnitude and power-law index of the magnetic field power spectrum. Specifically, for a fixed amplitude, the effect of magnetic fields is larger for larger spectral indices. We use the predicted statistical errors for a future wide-field cosmic shear survey, on the model of the ESA Cosmic Vision mission Euclid, in order to forecast constraints on the amplitude of primordial magnetic fields as a function of the spectral index. We find that the amplitude will be constrained at the level of ∼ 0.1 nG for nB ∼ −3, and at the level of ∼ 10−7 nG for nB ∼ 3. The latter is at the same level of lower bounds coming from the secondary emission of gamma-ray sources, implying that for high spectral indices Euclid will certainly be able to detect primordial magnetic fields, if they exist. The present study shows how large-scale structure surveys can be used for both understanding the origins of astrophysical magnetic fields and shedding new light on the physics of the pre-recombination Universe.
Dosing Regimen of Aditoprim and Sulfamethoxazole Combination for the Glaesserella parasuis Containing Resistance and Virulence Genes

Glaesserella parasuis (G. parasuis) causes Glasser’s disease in pigs and causes high mortality in piglets. The new drug Aditoprim (ADP) alone or combined with Sulfamethoxazole (SMZ) is one of the good choices for treating respiratory infections. The objective of this study was to recommend the optimal dosing regimen for the treatment of G. parasuis infection which contains resistance and virulence genes by ADP/SMZ compound through pharmacokinetics–pharmacodynamics (PK-PD) modeling. The whole genome of the virulent strain G. parasuis H78 was obtained and annotated by whole genome sequencing. The results show that G. parasuis H78 consists of a unilateral circular chromosome with prophages in the genome. The annotation results of G. parasuis H78 showed that the genome contained a large number of virulence-related genes and drug resistance-related genes. The in vitro PD study showed that the antibacterial effect of ADP/SMZ compound against G. parasuis was time-dependent, and AUC/MIC was selected as the PK-PD modeling parameter. The PK study showed that the content of ADP/SMZ compound in pulmonary epithelial lining fluid (PELF) was higher than plasma, and there were no significant differences in ADP and SMZ PK parameters between the healthy and infected group. The dose equation to calculate the optimal dosing regimen of ADP/SMZ compound administration for control of G. parasuis infection was 5/25 mg/kg b.w. , intramuscular injection once a day for 3~5 consecutive days. The results of this study provide novel therapeutic options for the treatment of G. parasuis infection to decrease the prevalence and disease burden caused by G. parasuis.