Miracle-dz/UniFAR-FTUs huggingface dataset:
An Improved Tropospheric Tomographic Model Based on Artificial Neural Network

Global navigation satellite systems (GNSS) tropospheric tomography can be used to build a three-dimensional water vapor field. In traditional tomography, the signals crossing from the four sides of the tomographic region are not utilized. To make the best use of these valuable side-crossing signals, an improved tomographic model based on back propagation artificial neural network (BP-ANN) is proposed. In the new tomographic model, the inside part of the slant wet delay (SWD) of the side-crossing signal is divided into two sections: the isotropic and anisotropic components. The former is estimated by the zenith wet delay multiplied by the mapping function multiplied by an isotropic scale factor using a BP-ANN model, and the latter is estimated by horizontal gradients of the SWD multiplied by an anisotropic scale factor using an empirical model. The new tomographic model is experimentally evaluated using the HK CORS network measurements for the period of 21 days from 1 to 21 August 2019. Statistical results show that the root mean square error (RMSE) of slant water vapor reconstructed from the improved model is reduced to 1.35 from 2.85 mm of the traditional model. Compared with the traditional/height factor models, the percentages of the reduction in the RMSE of the tomographic result derived from the new model are 16%/9% and 22%/16%, respectively, using radiosonde and ERA5 data as references. These results suggest a good performance of the new model for GNSS tropospheric tomography.
Aerial target recognition based on convolutional neural network

In the aerospace field, in the process of identifying and tracking air targets, it is faced with inaccurate or incomplete target recognition. This research is based on the auxiliary analysis and recognition capabilities of deep learning convolutional neural networks to realize the recognition of aerial targets, so as to improve the recognition accuracy and reduce the recognition error rate. Take the aircraft data provided by the Institute of Aeronautics and Astronautics as the research object, perform image preprocessing on it, build the aircraft data set, build a network framework using python language in the TensorFlow environment, and perform recognition training on the model, and finally test the trained model and result analysis.
NON-INVASIVE METHODS APPLIED FOR COMPLEX SIGNALS

This paper presents the application of a novel algorithm on virtually generated data from patients during anesthesia. Realistic artefacts are simulated in order to validate the usefulness of the proposed methods in separating the signal components: biological trend and artefacts. The results show that the proposed new algorithm can be successfully employed on biological signals to dynamically extract information and distil useful parameters for clinical evaluation.
Laboratory Evaluation of Selected Biorational Insecticidal Formulations against Potato Leafworm Spodoptera litura Fabricius (Lepidoptera: Noctuidae)

Spodoptera litura Fabricius (Lepidoptera: Noctuidae) is a deleterious agricultural pest worldwide. Field populations of S. litura manifest resistance to almost all conventional insecticides and it is imperative looking for novel biorational insecticides to control this pest. In this regard, this study bioassayed some promising biorational insecticides including botanical, microbial and non-conventional synthetic insecticidal formulations against 3 rd instar larvae of S. litura . Bioassay with botanical formulations showed a significant toxicity of oil and extract formulations of neem ( Azadirachta indica ) causing 70–77% larval mortality in 72 h observation and exhibiting minimum medial lethal concentration (LC 50 ) and time (LT 50 ) values ( i.e. 12.32 and 38.01 ppm and 16.67 and 11.68 days, respectively). Among microbial formulations tested, S. litura -nuclear polyhedrosis virus (NPV) and Bacillus thuringiensis kurstaki appeared as the most effective microbial treatments exhibiting minimum LC 50 (3.78 × 10 3 OB mL -1 and 1.22 × 10 7 spores mL -1 , respectively) and LT 50 (3.83 and 3.71 days, respectively) values. While flubendiamide, chlorantraniliprole and spinetoram exerted most significant lethal and sublethal effects on S. litura with minimum LT 50 values ( i.e. 19.58, 30.78 and 26.25 h, respectively). Larval development time was significantly prolonged by both half and one-fourth doses of flubendiamide and chlorantraniliprole (19.51 and 19.63 days and 17.77 and 17.20 days, respectively), while pupal duration prolonged for spinetoram and lufenuron. Similarly, significant suppression of adult lifespan was exhibited by flubendiamide (11.83 and 11.85 days) and chlorfenapyr (12.28 and 12.06 days). Overall study results advocate further consideration of these aforesaid biorational insecticides against S. litura infestations. However, assessment of their compatibility with each other and with other IPM strategies both under lab and field conditions constitutes future perspectives of this work.
Identificador de sentimientos de comentarios de hoteles utilizando BERT Hotel feedback sentiment identifier using BERT

The way of writing of the human being was changing over time being reduced/abbreviated by the new generations. The project will investigate these forms of writing of people through hotel comments, in order to identify and classify them according to whether it is a formal or informal comment; at the same time we will try to identify whether each of these has positive or negative information. All the processes to identify texts will be used with Natural Language Processing (NLP), so we will be able to identify different sentences according to the context that will be found in the comment database, which will be taken from TripAdvisor.
SVPWM Strategy With Minimum Common-Mode Voltage for Multilevel Converter Combining the Concept of the Nearest Level

Multilevel converters are widely used in medium- and high-voltage high-power industrial applications. Space vector pulsewidth modulation (SVPWM) is one of the very promising modulation strategies for multilevel converters. However, the SVPWM strategy is difficult to implement as the number of levels increases. The output common-mode voltage (CMV) of the converter is another problem in the implementation of SVPWM strategy. In this article, a new SVPWM strategy with minimum CMV for the multilevel converter is proposed by combining the concept of the nearest level. The proposed SVPWM strategy only utilizes simple arithmetic operations and logical judgments and completely avoids trigonometric functions and irrational number operations. Compared with the existing SVPWM methods, the proposed SVPWM strategy can quickly calculate the switching state with the minimum CMV in real time by the concept of the nearest level and avoids solving the nonhomogeneous linear equations in the process of calculating the switching state corresponding to the space vector. It can be extended to any level converter without additional computational burden. Finally, the proposed SVPWM strategy is verified with extensive simulation and experimental studies.
Complex Formation of an RNA Aptamer with a Part of HIV-1 Tat through Induction of Base Triples in Living Human Cells Proven by In-Cell NMR

An RNA aptamer that strongly binds to a target molecule has the potential to be a nucleic acid drug inside living human cells. To investigate and improve this potential, it is critical to elucidate the structure and interaction of RNA aptamers inside living cells. We examined an RNA aptamer for HIV-1 Tat (TA), which had been found to trap Tat and repress its function in living human cells. We first used in vitro NMR to examine the interaction between TA and a part of Tat containing the binding site for trans-activation response element (TAR). It was revealed that two U-A∗U base triples are formed in TA upon binding of Tat. This was assumed to be critical for strong binding. Then, TA in complex with a part of Tat was incorporated into living human cells. The presence of two U-A∗U base triples was also revealed for the complex in living human cells by in-cell NMR. Thus, the activity of TA in living human cells was rationally elucidated by in-cell NMR.
AN IMAGE FUSION USING WAVELET AND CURVELET TRANSFORMS

This paper presents wavelet and curvelet transform based approach for the fusion of digital image, magnetic resonance (MR) and computed tomography (CT) images. We looked at the selection principles about low and high frequency coefficients according to different frequency domain after Wavelet and the Curvelet Transform. In choosing the low-frequency and high frequency coefficients, the concept of local area variance an d window property of pixels respectively.Some attempts have been proposed for the fusion of MR and CT images using the wavelet transform. The objective of the fusion of an MR image and CT images of the same organ is to obtain a single imag e containing as much information as possible about that organ for diagnosis . Since medical images have several objects and curved shapes, it is expected that the curvelet transform would be better in their fusion. The simulation results show the superiority of the curvelet transform to the wavelet transform in the fusion of digital image an d MR and CT images from entropy, correlation coefficients and the RMS error points of view.
Record High Power Factor and Low Thermal Conductivity in Amorphous/PbTe/Amorphous Multiple Quantum Wells

Quantum well (QW) superlattice is one of the proposals to improve the thermoelectric properties and provide a rich platform for the next generation of thermoelectric device. Previous QW have two main challenges that need to be addressed: i) decrease the electron tunneling across the layers in the semiconductor‐based multiple QWs (MQW), and ii) decrease the thermal conductivity in the oxide‐based MQW. Herein, the study demonstrates amorphous based PbTe/amorphous‐STO MQWs with ultrahigh power factor of 40.9 µW cm−1 K−2 and record low thermal conductivity of ≈0.49 W m−1 K−1 at room temperature. The high performance of PbTe/amorphous‐STO MQWs is attributed to strong quantum confine effect and its intrinsic low thermal conductivity of amorphous superlattice structure. The results open up a new avenue toward modulating thermoelectric properties beyond traditional MQWs of thermoelectric materials.
Maximal expiratory pressure compared with maximal expiratory pressure during induced cough as a predictor of extubation failure

Objective To compare the diagnostic performance of maximal expiratory pressure with maximal expiratory pressure during induced cough for predicting extubation failure within 72 hours in patients who completed a spontaneous breathing trial (SBT). Methods The study was conducted between October 2018 and September 2019. All patients aged over 18 years admitted to the intensive care unit who required invasive mechanical ventilation for over 48 hours and successfully completed a spontaneous breathing trial were included. The maximal expiratory pressure was assessed with a unidirectional valve for 40 seconds, and verbal encouragement was given. The maximal expiratory pressure during induced cough was measured with slow instillation of 2mL of a 0.9% saline solution. The primary outcome variable was extubation failure. Results Eighty patients were included, of which 43 (54%) were male. Twenty-two patients [27.5% (95%CI 18.9 - 38.1)] failed extubation within 72 hours. Differences were observed in the maximal expiratory pressure during induced cough between the group who failed extubation, with a median of 0cmH2O (P25-75: 0 - 90), and the group without extubation failure, with a median of 120cmH2O (P25-75: 73 - 120); p < 0.001. Conclusion In patients who completed a spontaneous breathing trial, the maximal expiratory pressure during induced cough had a higher diagnostic performance for predicting extubation failure within 72 hours. Clinicaltrials.gov Registry: NCT04356625
Analytical Analysis of squeezing Flows

This thesis covers the investigation of axisymmetric squeezing flows under slip and no slip boundary conditions. In the process, the flow of a fluid in a porous medium between two parallel plates approaching each other symmetrically has also been studied.The stream functions and the transformation function 2  (r, z)  r F(z) were used to transfer the Navier-Stockes equations into an ordinary nonlinear differential equation along with the boundary conditions.To solve these nonlinear problems, different analytical methods that are; the Adomian decomposition method (ADM), the new iterative method (NIM), the homotopy perturbation method (HPM), the optimal homotopy asymptotic method (OHAM) and the differential transform method (DTM) are applied and velocity profiles for various parameters of Newtonian fluids are obtained.The velocity of plates and its effects on fluid velocity are established.The above mentioned methods are based on Taylor’s series but their line of action is different and one may face serious problems of convergence in their application.In this case, the convergence of the approximating series solution is discussed and the mathematica built-in code NDSolve is used to validate the results of analytical solutions.The results show that OHAM gives a better approximation under the conditions on which the research is premised.
A prospective approach to separate industrial carbon dioxide and flue gases

ABSTRACT As the industrial revolution progresses, carbon dioxide (CO2) and sulfur dioxide (SO2) are major concerns because they are the main contributors to greenhouse gases. The concentration of these harmful gases in the industry is very high, which is emitted by workers and industrial materials. Therefore, it is required to maintain a safe percentage of CO2, SO2, and other harmful gases in the air of industry and ensure safety from fire accidents. This paper presents a compressor driven system that could capture harmful gases including CO2 and SO2 from the polluted air of different industries and households. The captured and separated CO2 works as a fire extinguishing agent to safeguard fire accidents for large industries and households. Thus, this system ensures a protected working place and a healthy atmosphere for industrial workers. Besides, this system can be applied in place of the exhaust gas recirculation (EGR) system in small industries and for a four-wheeler, internal combustion engine, as this system could capture and separate the harmful carbon dioxide and sulfur dioxide. This paper also presents a developed model of different polymeric membranes to simulate the separation of carbon dioxide after the post-combustion process. Computational Fluid Dynamics (CFD) has been performed by COMSOL 5.5 to observe the carbon dioxide separation by polymeric membranes like polycarbonate (0.07 mol/m3) and polytetrafluoroethylene (0.1 mol/m3) polymeric membranes for specific pore sizes which is comparable to experimental data (0.05 mol/m3).
An insight into the mechanical and tribological behavior of carbon-flax reinforced bioepoxy hybrid composite bone plates for orthopedic applications

Femur fractures are often treated by fixing metallic bone plates in the fractured area. But metallic bone plates are subjected to stress shielding. To overcome stress shielding, a material with similar strength and stiffness to that of the human bone can be better suited. The present study focuses on the fabrication of carbon-flax/bioepoxy hybrid composite. The femur bone plate was modeled using SOLIDWORKS®2020 3D modeling software package. Hybrid composite laminates were developed using compression molding technique and material characterization studies viz. Tensile, shear, flexural and wear tests were conducted on the ASTM shaped specimens to estimate the strength and wear properties of the fabricated hybrid composite. The results of the tests indicate that the Carbon-flax reinforced hybrid composite have properties similar to that of human femur bone and seems to be a better option for the replacement of metallic bone plates.
Impact of Hyperkalemia in Heart Failure and Reduced Ejection Fraction: A Retrospective Study

(1) Background: Hyperkalemia is a common finding in patients with heart failure and reduced ejection fraction (HFrEF), though its prognostic significance is controversial. There is no consensus on optimal potassium levels in these patients. The primary endpoint of this study was to determine the 5-year incidence of hyperkalemia in a cohort of patients with HFrEF. Secondary endpoints were to determine predictors of hyperkalemia and its impact on overall 5-year mortality; (2) Methods: retrospective, longitudinal, single-center observational study of patients with HFrEF followed-up in a specialized unit between 2011 and 2019. Hyperkalemia was considered as potassium concentration > 5.5 mEq/L; (3) Results: Hyperkalemia was observed in 170 (16.8%) of the 1013 patients. The 5-year hyperkalemia-free survival rate was 82.1%. Hyperkalemia was more frequent at the beginning of follow-up. Factors associated with hyperkalemia in the multivariate analysis were baseline potassium (HR 3.13, 95%CI 2.15–4.60; p < 0.001), creatinine clearance (HR 0.99, 95%CI 0.98–0.99; p = 0.013), right ventricular function (HR 0.95, 95%CI 0.91–0.99; p = 0.016) and diabetes mellitus (HR 1.40, 95%CI 1.01–1.96; p = 0.047). The overall survival rate at 5 years was 76.4%. Normal–high potassium levels (5–5.5 mEq/L) were inversely associated with mortality (HR 0.60, 95%CI 0.38–0.94; p = 0.025); (4) Conclusions: Hyperkalemia is a common finding in patients with HFrEF with an impact on the optimization of neurohormonal treatment. In our retrospective study, potassium levels in the normal–high range seem to be safe and are not associated with increased mortality.
Clinical Characterization of Targetable Mutations (BRAF V600E and KRAS G12C) in Advanced Colorectal Cancer—A Nation-Wide Study

BRAF V600E and KRAS mutations that occur in colorectal cancer (CRC) define a subpopulation of patients with an inferior prognosis. Recently, the first BRAF V600E-targeting therapy has been approved and novel agents targeting KRAS G12C are being evaluated in CRC. A better understanding of the clinical characteristics of the populations defined by those mutations is needed. We created a retrospective database that collects clinical characteristics of patients with metastatic CRC evaluated for RAS and BRAF mutations in a single laboratory. A total of 7604 patients tested between October 2017 and December 2019 were included in the analysis. The prevalence of BRAF V600E was 6.77%. Female sex, primary in the right colon, high-grade, mucinous, signet cell, partially neuroendocrine histology, perineural and vascular invasion, and surgical tissue sample were factors associated with increased mutation rates. The prevalence of KRAS G12C was 3.11%. Cancer of primary origin in the left colon and in samples from brain metastases were associated with increased mutation rates. The high prevalence of the BRAF V600E mutation in cancers with a neuroendocrine component identifies a potential candidate population for BRAF inhibition. The association of KRAS G12C with the left part of the intestine and brain metastases of CRC are new findings and require further investigation.
Individually Addressable Multitouch Sensors Using a Sweep Signal for Minimal Wiring Complexity

Although touch sensing has been developed rapidly, it is difficult to design a simple circuit or a system that contains many sensors; the number of wires increases in proportion to the number of sensors. Although efforts have been made to reduce the number of wires, multitouch measurements are still challenging because it is difficult to decouple multitouch signals. Here, we apply frequency-division multiplexing to swept frequency capacitive sensing when developing a sensor system capable of multitouch with minimal wiring complexity. The sensor system can be extended in series and arrays by connecting multiple sensors using only two wires. A signal generated via frequency sweeping is expressed as a unique response in a specific frequency domain using a multiband bandstop filter. Considering such unique touch responses, each capacitive multitouch sensor is individually addressable, thereby allowing touch to be detected regardless of sensor location.
Biocompatible Calcium Ion-Doped Magnesium Ferrite Nanoparticles as a New Family of Photothermal Therapeutic Materials for Cancer Treatment

Novel biocompatible and efficient photothermal (PT) therapeutic materials for cancer treatment have recently garnered significant attention, owing to their effective ablation of cancer cells, minimal invasiveness, quick recovery, and minimal damage to healthy cells. In this study, we designed and developed calcium ion-doped magnesium ferrite nanoparticles (Ca2+-doped MgFe2O4 NPs) as novel and effective PT therapeutic materials for cancer treatment, owing to their good biocompatibility, biosafety, high near-infrared (NIR) absorption, easy localization, short treatment period, remote controllability, high efficiency, and high specificity. The studied Ca2+-doped MgFe2O4 NPs exhibited a uniform spherical morphology with particle sizes of 14.24 ± 1.32 nm and a strong PT conversion efficiency (30.12%), making them promising for cancer photothermal therapy (PTT). In vitro experiments showed that Ca2+-doped MgFe2O4 NPs had no significant cytotoxic effects on non-laser-irradiated MDA-MB-231 cells, confirming that Ca2+-doped MgFe2O4 NPs exhibited high biocompatibility. More interestingly, Ca2+-doped MgFe2O4 NPs exhibited superior cytotoxicity to laser-irradiated MDA-MB-231 cells, inducing significant cell death. Our study proposes novel, safe, high-efficiency, and biocompatible PT therapeutics for treating cancers, opening new vistas for the future development of cancer PTT.
Erratum: "The Sensitivity of Gas-Phase Chemical Models of Interstellar Clouds to C and O Elemental Abundances and to a New Formation Mechanism for Ammonia" (ApJ, 501, 207 [1998])

In the paper ““ The Sensitivity of Gas-Phase Chemical Models of Interstellar Clouds to C and O Elemental Abundances and to a New Formation Mechanism for Ammonia ÏÏ by R. Terzieva and Eric Herbst (ApJ, 501, 207 [1998]), an omission in Table 2 needs to be corrected and the criterion for agreement between models and observations should be modiÐed. Table 2 is missing inequality signs before the upper limits for molecules searched for but not detected in the sources TMC-1 and, especially, L134N. The correct inequalities are shown in the paper by M. Ohishi, W. M. Irvine, and N. Kaifu (in Astrochemistry of Cosmic Phenomena, ed. P. D. Singh [Dordrecht : Kluwer], 171 [1992]). Furthermore, in the determination of the accuracy of various chemical models, the criterion for agreement between model and observation used by Terzieva & Herbst contains the assumption that the upper limits are equivalent to determined abundances. Since this criterion is probably overly stringent, the authors have amended it so that the model is in agreement with an observed upper limit if the calculated abundance is less than or equal to 10 times the upper limit. With this amended criterion, an assortment of models, especially those containing a number of neutral-neutral reactions (M4M and NNNM), can now Ðt the data in L134N much better than with their previous criterion. The improvement in agreement is shown in (below). All of the model networks are in excellent agreement with Figure 1 observation, especially if C \ O and equal depletions of a factor of 5 for C and O are used. To distinguish among the models in L134N will require detection of the molecules for which only upper limits are currently available or further diminution in these upper limits. The level of agreement between model and observation for TMC-1, on the other hand, is virtually unchanged from that discussed in the original paper.