Miracle-dz/UniFAR-FTUs huggingface dataset:
Adequate Position and Recommended Time for Initial Steps of Neonatal Resuscitation

Background: The Neonatal Resuscitation Program highlights the importance of a newborn's first minute, the "Golden Minute", during which the pediatrician determines if a newborn requires, and initiates advanced resuscitation. From birth to the first neonatal evaluation, we detect periods that we call "Lost Time", that delay advanced resuscitation because it is not controlled: The "adequate position" in which gynecologists must "pass" and pediatricians "receive" the newborn; The transfer time to the radiant warmer and; The duration of the initial steps. Objectives of the Study: 1. Present and propose what we consider the "adequate position" to "pass" and "receive" the newborn at each birth. 2. Expose “LT” detected, and how to eliminate them; 3. Establish the adequate time for each initial step of neonatal resuscitation. Methodology: Observational, descriptive, comparative, triple-blind study. We recorded the position in which gynecologists pass to the newborn, and pediatricians receive, the transfer time to the radiant warmer, and the duration of the initial steps, in 150 deliveries and 150 cesarean sections. Results were analyzed with descriptive statistics, X2, T-test. Results: The position to pass and receive the newborn was incorrect and delayed. The transfer time to the radiant warmer was long. The duration of the initial steps was longer than expected. Without differences between both groups. Conclusions: Planning and accelerating the "adequate position" to "pass and receive" the neonate at each birth, reducing the transfer time to the radiant warmer and shortening the duration of the initial steps, allow us to eliminate lost time, optimize the golden minute of resuscitation and improve neonatal outcomes.
Theoretical Study on the Aggregation and Adsorption Behaviors of Anticancer Drug Molecules on Graphene/Graphene Oxide Surface

Graphene and its derivatives are frequently used in cancer therapy, and there has been widespread interest in improving the therapeutic efficiency of targeted drugs. In this paper, the geometrical structure and electronic effects of anastrozole(Anas), camptothecin(CPT), gefitinib (Gefi), and resveratrol (Res) on graphene and graphene oxide(GO) were investigated by density functional theory (DFT) calculations and molecular dynamics (MD) simulation. Meanwhile, we explored and compared the adsorption process between graphene/GO and four drug molecules, as well as the adsorption sites between carriers and payloads. In addition, we calculated the interaction forces between four drug molecules and graphene. We believe that this work will contribute to deepening the understanding of the loading behaviors of anticancer drugs onto nanomaterials and their interaction.
Hall measurement of ultra thin vanadium dioxide thin films

In this work, we present the investigation of temperature dependent hall measurement of the ultra thin VO$_2$ films grown on Si/SiO$_2$ substrate. Experimental results suggest that electrons are the predominant carrier both in the semiconducting and metallic phases. The decrease of the resistivity with increasing temperature is mainly caused by the increase in the number density of charge carriers. The temperature dependence of the carrier concentration indicates the VO$_2$ films has a band gap of 0.40$\pm$0.09 $ev$ in the semiconducting phase. Analysis of hall effect data based on a composite cube model suggests that the sample has some untransitional phase with a length that is 1/4 of the grains.
Excitation correlation photoluminescence in the presence of Shockley-Read-Hall recombination

Excitation correlation photoluminescence (ECPL) measurements are often analyzed in the approximation of a cross correlation of charge carrier populations generated by the two delayed pulses. In semiconductors, this approach is valid for a linear non-radiative recombination path, but not for a non-linear recombination rate as in the general Shockley-Read-Hall recombination scenario. Here, the evolution of the ECPL signal was studied for deep trap recombination following Shockley-Read-Hall statistics. Analytic solutions can be obtained for a fast minority trapping regime and steady state recombination. For the steady state case, our results show that the quadratic radiative term plays only a minor role, and that the shape of the measured signal is mostly determined by the non-linearity of the recombination itself. We find that measurements with unbalanced intense pump and probe pulses can directly provide information about the dominant non-radiative recombination mechanism. The signal traces follow the charge carrier concentrations, despite the complex origins of the signal, thus showing that ECPL can be applied to study charge carrier dynamics in semiconductors without requiring elaborate calculations. The model is compared with measurements on a reference sample with alternating layers of InGaAs/InAlAs that were additionally cross-checked with time resolved optical pump terahertz probe measurements and found to be in excellent agreement.
RADIO VARIABILITY AND RANDOM WALK NOISE PROPERTIES OF FOUR BLAZARS

We present the results of a time series analysis of the long-term radio light curves of four blazars: 3C 279, 3C 345, 3C 446, and BL Lacertae. We exploit the database of the University of Michigan Radio Astronomy Observatory monitoring program which provides densely sampled light curves spanning 32 years in time in three frequency bands located at 4.8, 8, and 14.5 GHz. Our sources show mostly flat or inverted (spectral indices −0.5 ≲ α ≲ 0) spectra, in agreement with optically thick emission. All light curves show strong variability on all timescales. Analyzing the time lags between the light curves from different frequency bands, we find that we can distinguish high-peaking flares and low-peaking flares in accordance with the classification of Valtaoja et al. The periodograms (temporal power spectra) of the observed light curves are consistent with random-walk power-law noise without any indication of (quasi-)periodic variability. The fact that all four sources studied are in agreement with being random-walk noise emitters at radio wavelengths suggests that such behavior is a general property of blazars.
Reablation in Atrial Fibrillation Recurrence and Pulmonary Vein Reconnection: Cryoballoon versus Radiofrequency as Index Ablation Procedures

Pulmonary vein (PV) isolation is a well-established rhythm control therapy in atrial fibrillation (AF). Currently, there is no consensus on which ablation technique to use for the first procedure, cryoballoon (CB) or radiofrequency (RF). A retrospective cohort study was conducted on 1055 patients who underwent a first ablation, to assess both techniques based on the need for reablation. Patients with CB (n = 557) and RF (n = 498) ablations were clinically characterized and the need for reablation during a 30-month follow-up was used as the primary endpoint. Independent variables were analyzed to identify potential predictors. The need for reablation was significantly lower in the CB group than in the RF group (hazard ratio = 0.45 and 95% confident interval = 0.32–0.61; p < 0.001); in both paroxysmal and persistent AF, using a full-adjusted regression Cox model by age, sex, smoking, hypertension, diabetes mellitus, dyslipidemia, severe obstructive sleep apnea, dilated left atrium, persistent AF and early recurrence. RF ablation, dilated left atrium, persistent AF and early recurrence were identified as independent predictors of reablation. In addition, the CB-redo subgroup had a lower PV reconnection than the RF-redo subgroup. In conclusion, CB ablation suggests a reduction in the need for reablation and lower PV reconnection during the follow-up than RF ablation.
Self-consistent Compact Modeling of First- and Third Quadrant I–V behavior in SiC MOSFETs

In this paper, we present a self-consistent accurate model for the current-voltage (I–V) behavior of SiC MOSFETs in the first- and the third quadrant (3Q) of I–V plane. The gate voltage (Vgs) dependence of 3Q operation of SiC MOSFETs is first analyzed with the help of TCAD. It is found that a change in Vg affects the 3Q I–V by affecting the barrier height and current flow paths for the body-diode. For larger Vgs the channel current is also significant in 3Q operation. These effects have been modeled consistently leading to development of physics-based self-consistent model valid in both quadrants of the I-V plane. The developed model shows good agreement to I–V measurements performed on a a commercial SiC MOSFET.
Clinical features do not identify risk of progression from isolated postcapillary pulmonary hypertension to combined pre‐ and postcapillary pulmonary hypertension

Abstract Pulmonary hypertension is a common sequelae of left heart failure and may present as isolated postcapillary pulmonary hypertension (Ipc‐PH) or combined pre‐ and postcapillary pulmonary hypertension (Cpc‐PH). Clinical features associated with progression from Ipc‐PH to Cpc‐PH have not yet been described. We extracted clinical data from patients who underwent right heart catheterizations (RHC) on two separate occasions. Ipc‐PH was defined as mean pulmonary pressure >20 mmHg, pulmonary capillary wedge pressure >15 mmHg, and pulmonary vascular resistance (PVR) < 3 WU. Progression to Cpc‐PH required an increase in PVR to ≥3 WU. We performed a retrospective cohort study with repeated assessments comparing subjects that progressed to Cpc‐PH to subjects that remained with Ipc‐PH. Of 153 patients with Ipc‐PH at baseline who underwent a repeat RHC after a median of 0.7 years (IQR 0.2, 2.1), 33% (50/153) had developed Cpc‐PH. In univariate analysis comparing the two groups at baseline, body mass index (BMI) and right atrial pressure were lower, while the prevalence of moderate or worse mitral regurgitation (MR) was higher among those who progressed. In age‐ and sex‐adjusted multivariable analysis, only BMI (OR 0.94, 95% CI 0.90–0.99, p = 0.017, C = 0.655) and moderate or worse MR (OR 3.00, 95% CI 1.37–6.60, p = 0.006, C = 0.654) predicted progression, but with poor discriminatory power. This study suggests that clinical features alone cannot distinguish patients at risk for development of Cpc‐PH and support the need for molecular and genetic studies to identify biomarkers of progression.
On a Knot Model of Mesons and Baryons

A quantum knot model of mesons and baryons is established. This quantum knot model is derived from a quantum gauge model which is similar to the QCD gauge model. We first establish a knot model of the $\pi$ mesons. We show that the $\pi$ mesons are modeled by the prime knot ${\bf4_1}$ (which is assigned with the prime number 3). We show that the knot model of the $\pi^+$ meson gives the strong interaction for the formation of the $\pi^+$ meson and the weak decay $\pi^+ \to \mu^+ +\nu_{\mu}$. We give a mass machanism for the generation of the masses of the $\pi^0$ meson, $\pi^+$ meson, the muon $\mu^+$ and the muon neutrino $\nu_{\mu}$. We then extend the knot model to the basic mesons $K^0, \eta, \rho, \omega, K^*, \eta^{\prime},$ and $\phi$. These mesons are modeled by the prime knots ${\bf 6_1, 6_2, 6_3, 6_3, 7_1, 7_2, 7_2}$ respectively where ${\bf 6_1, 6_2, 6_3, 7_1, 7_2}$ are assigned with the prime numbers $11, 13,17, 19, 23$ respectively. We then extend the knot model to the basic baryons $p,n, \Lambda$, $ \Sigma, \Xi$; $\Delta, \Sigma^*, \Xi^*$, $\Omega^-$ and $\Lambda^*$. We show that these baryons are modeled by the prime knots ${\bf 6_2, 6_2, 7_1, 7_1,7_1}$; ${\bf7_1, 7_1,7_1, 7_2}$ and $ {\bf7_1}$ respectively where ${\bf 6_2, 7_1, 7_2}$ are assigned with the prime numbers $13, 19, 23$ respectively. This knot model gives a unification of the electromagnetic, the weak and the strong interactions. We show that the existing quark model is as a part of this knot model.
Adaptive learning engine load estimation

In this paper we design new adaptive learning estimation algorithms for engine load. The flow into the engine is estimated via a speed-density calculation, wherein the intake manifold temperature is estimated on-line. First we present the ideal gas law with multiplicative uncertainty factor which can be associated with intake manifold mass or temperature to describe the pressure in the intake manifold. Using the error between measured and modeled pressure we estimate a prediction error which is used together with the tracking error to design adaptive algorithms with improved identifiability and convergence rate. The tradeoff between the speed of adaptation and the quality of the estimation signal necessitates the robustness enhancement which is achieved by sigma-modification with the sigma factor depending on the prediction error estimate. Then under the transient the estimated parameter converges to its a priori value, but under 'steady-state', sigma -modification is not active and the adjustment law is driven by both tracking and prediction errors. Further improvement is made by introducing an adaptive feedforward part instead of a single a priori value in the algorithm. Learned values of estimated parameters for high and low pressures are stored in a static map during steady-state. Then under subsequent transients learned values are used directly in the feedforward part of the algorithm that allows to reduce the convergence time of estimated parameters.
Formulation and Evaluation of Fenbendazole Extended-Release Extrudes Processed by Hot-Melt Extrusion

This study aimed to demonstrate the feasibility of hot-melt extrusion in the development of extended-release formulations of Fenbendazole (Fen) dispersed in PEO/PCL blend-based matrices. Their thermal, physical, chemical and viscosity properties were assessed by differential scanning calorimetry, thermogravimetric analysis/derivative thermogravimetry, Fourier transform infrared spectroscopy, X-ray diffraction spectroscopy, and melt flow index. Drug dispersion was analyzed by scanning electron microscopy with electron dispersive X-ray spectroscopy, and drug release was evaluated by ultraviolet-visible spectroscopy. A thermal analysis indicated the conversion of the drug to its amorphous state. FTIR analysis endorsed the thermal studies pointing to a decrease in the drug’s crystallinity with the establishment of intermolecular interactions. XRD analysis confirmed the amorphous nature of Fen. MFI test revealed that PCL acts as a plasticizer when melt-processed with PEO. SEM images displayed irregular surfaces with voids and pores, while EDX spectra demonstrated a homogeneous drug distribution throughout the polymeric carrier. Dissolution testing revealed that PCL retards the drug release proportionally to the content of such polymer incorporated. These melt-extruded matrices showed that the drug release rate in a PEO/PCL blend can easily be tailored by altering the ratio of PCL to address the issues related to the multiple-dosing regimen of Fen in ruminants.
Decoding the Interplay Between Latency, Reliability, Cost, and Energy While Provisioning Resources in Fog-Computing-Enabled IoT Networks

By bringing the processing and storage capabilities of the cloud closer to the end devices, fog computing (FC) enhances the Quality of Service (QoS) for latency-critical Internet of Things (IoT) applications, such as autonomous driving, haptics, and augmented reality (AR). To facilitate the processing and storage of data packets, the fog nodes in the underlying FC-enabled IoT network (FC-IoTN) are to be provisioned with storage and processing resources. Existing resource provisioning solutions focus mainly on latency sensitivity and cost efficiency. They also operate under the assumption that these fog nodes are completely reliable and energy efficient. In reality, this is not true. The fog nodes are not 100% reliable. Neither are they energy efficient. In this study, we propose a novel resource provisioning framework for the fog nodes that considers reliability and energy efficiency, in addition to latency sensitivity and cost efficiency. We first give an analytical framework to model the failures and recoveries in a fog node and use this modeling to provision resources in the fog nodes such that the resultant resource provisioning is optimal in terms of cost and energy consumption. Further, to understand the effect of latency, reliability, cost, and energy on resource provisioning, we analyze and decode the interplay between these factors during resource provisioning in fog nodes. We finally show the efficacy of our approach over the scenario that does not consider reliability and energy efficiency while provisioning resources. Without affecting the latency sensitivity and reliability of the system, our framework achieves an enhancement of 35%, and 37% in terms of cost and energy consumption, respectively, over a nonoptimized framework.
Study of SOC Estimation by the Ampere-Hour Integral Method with Capacity Correction Based on LSTM

The estimation of the state of charge (SOC) of a battery’s power is one of the key technologies in a battery management system (BMS). As a common SOC estimation method, the traditional ampere-hour integral method regards the actual capacity of the battery, which is constantly changed by the usage conditions and environment, as a constant for calculation, which may cause errors in the results of SOC estimation. Considering the above problems, this paper proposes an improved ampere-hour integral method based on the Long Short-Term Memory (LSTM) network model. The LSTM network model is used to obtain the actual battery capacity variation, replacing the fixed value of battery capacity in the traditional ampere-hour integral method and optimizing the traditional ampere-hour integral method to improve the accuracy of the SOC estimation method. The experimental results show that the errors of the results obtained by the improved ampere-hour integral method for the SOC estimation are all less than 10%, which proves that the proposed design method is feasible and effective.
Multi-view 3D display using waveguides

We propose a multi-projection based multi-view 3D display system using an optical waveguide. The images from the projection units with the angle satisfying the total internal reflection (TIR) condition are incident on the waveguide and experience multiple reflections at the interface by the TIR. As a result of the multiple reflections in the waveguide, the projection distance in horizontal direction is effectively reduced to the thickness of the waveguide, and it is possible to implement the compact projection display system. By aligning the projection array in the entrance part of the waveguide, the multi-view 3D display system based on the multiple projectors with the minimized structure is realized. Viewing zones are generated by combining the waveguide projection system, a vertical diffuser, and a Fresnel lens. In the experimental setup, the feasibility of the proposed method is verified and a ten-view 3D display system with compact size in projection space is implemented.
Fractional-photon-assisted tunneling in an optical superlattice: Large contribution to particle transfer

Fractional-photon-assisted tunneling is investigated both analytically and numerically for few interacting ultracold atoms in the double wells of an optical superlattice. This can be realized experimentally by adding periodic shaking to an existing experimental setup [Cheinet et al., Phys. Rev. Lett. 101, 090404 (2008)]. Photon-assisted tunneling is visible in the particle transfer between the wells of the individual double wells. In order to understand the physics of the photon-assisted tunneling, an effective model based on the rotating-wave approximation is introduced. The validity of this effective approach is tested for wide parameter ranges that are accessible to experiments in double-well lattices. The effective model goes well beyond previous perturbation theory approaches and is useful for investigating in particular the fractional-photon-assisted tunneling resonances. Analytic results on the level of the experimentally realizable two-particle quantum dynamics show very good agreement with the numerical solution of the time-dependent Schroedinger equation. Far from being a small effect, both the one-half-photon and the one-third-photon resonances are shown to have large effects on the particle transfer.
FFT-LB modeling of thermal liquid-vapor systems

We further develop a thermal LB model for multiphase flows. In the improved model, we propose to use the FFT scheme to calculate both the convection term and external force term. The usage of FFT scheme is detailed and analyzed. By using the FFT algorithm spatiotemporal discretization errors are decreased dramatically and the conservation of total energy is much better preserved. A direct consequence of the improvement is that the unphysical spurious velocities at the interfacial regions can be damped to neglectable scale. Together with the better conservation of total energy, the more accurate flow velocities lead to the more accurate temperature field which determines the dynamical and final states of the system. With the new model, the phase diagram of the liquid-vapor system obtained from simulation is more consistent with that from theoretical calculation. Very sharp interfaces can be achieved. The accuracy of simulation results are also verified by the Laplace law. The FFT scheme can be easily applied to other models for multiphase flows.
Constraining the production of cosmic rays by pulsars

One of the possible sources of hadronic cosmic rays (CRs) are newborn pulsars. If this is indeed the case, they should feature diffusive gamma-ray halos produced by interactions of CRs with interstellar gas. In this paper we try to identify extended gamma-ray emission around young pulsars, making use of the 7-year Fermi-LAT data. For this purpose we select and analyze a set of eight pulsars that are most likely to possess detectable gamma-ray halos. We find extended emission that might be interpreted as a gamma-ray halo only in the case of PSR J0007 + 7303. Its luminosity accords with the total energy of injected cosmic rays similar to 10(50) erg, although other interpretations of this source are possible. Irrespectively of the nature of this source, we put bounds on the luminosity of gamma-ray halos which suggest that pulsars' contribution to the overall energy budget of galactic CRs is subdominant in the GeV-TeV range.
Deep Metric Learning Using Negative Sampling Probability Annealing

Multiple studies have concluded that the selection of input samples is key for deep metric learning. For triplet networks, the selection of the anchor, positive, and negative pairs is referred to as triplet mining. The selection of the negatives is considered the be the most complicated task, due to a large number of possibilities. The goal is to select a negative that results in a positive triplet loss; however, there are multiple approaches for this—semi-hard negative mining or hardest mining are well-known in addition to random selection. Since its introduction, semi-hard mining was proven to outperform other negative mining techniques; however, in recent years, the selection of the so-called hardest negative has shown promising results in different experiments. This paper introduces a novel negative sampling solution based on dynamic policy switching, referred to as negative sampling probability annealing, which aims to exploit the positives of all approaches. Results are validated on an experimental synthetic dataset using cluster-analysis methods; finally, the discriminative abilities of trained models are measured on real-life data.