Miracle-dz/UniFAR-FTUs huggingface dataset:
Lithium in late-type giants. I. G and K giants

Lithium abundances for about 50 G and K giants have been derived from new high-resolution, low-noise spectra by spectrum synthesis. Ca abundances obtained from the 6798 A Ca I line are well correlated with the (Fe/H) abundance given by published narrow-band photometry. This correlation is strong evidence that the Ca and, therefore, the Li abundances are free from large systematic errors.The Li abundance and the /sup 1/2C//sup 13/C ratio are correlated. Red giants with M> or approx. =1.3 M/sub sun/ show the predicted Li abundance and /sup 12/C//sup 13/C ratio. Giants with a high /sup 13/C abundance (/sup 12/C//sup 13/C< or approx. =15) show lower Li abundances. It is suggested that Li is a rough measure of a star's mass and that the high /sup 13/C stars are low-mass giants M< or approx. =1.3 M/sub sun/. The CN cycle is probably the source of the excess /sup 13/C. Spallation reactions cannot account for these abundances.Lithium must be produced by the weak G-band stars. The /sup 7/Be transport mechanism is the probable source of the Li. Meridional mixing in a red giant with a rapidly rotating core occurs too slowly for the /sup 7/Li to be transported to the cool envelope.
AlN Material Constants Evaluation and SAW Properties on AlN/Al 2 O 3 and AlN/Si

We have determined the material constants of AlN,i.e., elastic stiffness, piezoelectricity and permittivity, by computer calculation from the experimental results on SAW phase velocities and electromechanical coupling coefficients. A1N films used were single-crystal films on the basal plane of sapphire grown by metalorganic chemical vapor deposition. Until now, very few of these material constants are known. We report, for the first time, all the matrix elements of the material constants. The calculated variations of SAW phase velocities and coupling constants with A1N film thickness on basal and R planes of sapphire were in good agreements with the reported experimental results. Next, using the evaluated material constants, it was shown that the highfrequency (UHF) and low-dispersion SAW characteristics (less than 0.1% velocity change for ~20% bandwidth) with a large coupling (4%) can be expected for AlN/Si and AlN/SOS, when the c-axis of A1N was aligned along the surface of (001) Si.
Research on Intelligent Diagnosis System for High-voltage Cables Based on Partial Discharge Characteristics

High-voltage cable insulation state directly determines the service life of these cables, and after the periods of producing, laying and long-term operating, there is likely to introduce impurities, air bubbles into the insulation layer. These defects will bring partial discharge, which will damage insulation strength, and cause cable failures. Due to the partial discharge test can achieve the purposes of early cable insulation state assessment, cable defects detection and operational reliability guarantee, lots of cable partial discharge detection equipment have emerged at home and abroad. However, the equipment of different manufacturers have their own characteristics, so the use of these equipment also bring problems such as high requirements for technicians, and low data utilization. To solve these problems, it becomes urgent to build a unified diagnostic platform, upgrade the identification algorithm, maintain a partial discharge defect library, and access the online monitoring data of partial discharge. Based on these needs, this paper designed and implemented a partial discharge data diagnosis system by applying convolutional neural networks for massive field measured partial discharge sample data. The training and verification of these data were completed, and the model which proved has a high recognition rate, good theoretical and practical significance through simulation experiment for partial discharge diagnosis was output.
Magnetostatic and magnetodynamic mixed formulations compared with conventional formulations

Mixed formulations are characterized by the use, of not only one kind of unknown, but of two distinct kinds of unknowns. Some well-known mixed finite elements are well suited to the approximation of electromagnetic fields. Several characteristics of magnetostatic and magnetodynamic mixed formulations are presented and discussed. The use of nodal, edge, facet and volume mixed elements enables their natural and rigorous discretization. Their advantages compared with conventional formulations are pointed out.
Research on Generalized Predictive Control of Hybrid Magnetic Bearing System

A generalized predictive control technique for hybrid magnetic bearings is put forth in this study. Firstly, a nonlinear model is established for the radial freedom of hybrid magnetic bearing, and is then linearized through small perturbation method at the equilibrium point, it is used to develop a generalized predictive controller. Then, the technique’s results proposed on the radial freedom floating control is analyzed together with the interference suppression ability, meanwhile the effect of main control parameters and the performance of the system are analyzed and compared, which contrast the conventional PID control approach. The simulation’s findings indicate that the generalized predictive control system presented has a better dynamic performance and robustness.
Control and Optimization of Power Dispatching System Based on New Energy Mode

At present, new energy sources such as wind or solar energy are connected to the power grid on a large scale. Due to the characteristics of regionalism, intermittency, volatility, and low controllability, it is not conducive to the safe and stable operation of the power system [1]. New energy can also not be completely absorbed. Based on the output characteristics of new energy and the operation mode of power grid dispatching, this paper analyzes the influence of new energy generation on the power grid dispatching system. To achieve the lowest generation cost, the highest operating efficiency, the best new energy consumption, and the best control mode. This paper summarizes and puts forward four optimal dispatching theoretical models for the above objectives. These models generally meet the demand for new energy power generation structures. They can realize the interaction of multiple sources of the power grid and improve the dispatch ability of the power grid. In the load forecasting model, it proposed a 96 times node forecasting way based on the analysis of historical data. This method can comprehensively improve the proportion of grid-connected power generation of new energy from both sides. In other models, this paper proposed several strategies for optimizing power grid dispatching modes in the new energy system. The related forecasting model, dispatching model, and improving new energy consumption model in this paper will have a certain reference value for the joint dispatching management of multiple generation modes.
Un-calibrated Photometric Stereo Algorithm Based on Local Grayscale Information

Aiming at the difficulty of light source parameter calibration and the weak practical application of traditional photometric stereo vision in 3D reconstruction of target object, an uncalibrated photometric stereo vision algorithm model based on local gray information of image is studied. Firstly, an adaptive clustering segmented is designed to generate mask image from the original photometric image and extract the target region; Then, singular value decomposition (SVD) is used to decompose the original image into the product of the near initial normal vector matrix and the initial illumination matrix, initialize the general shallow relief (GBR) transformation matrix, and construct the initialization model of the target object surface vector; The file set is constructed with the local gray maxima of Lambert reflection, and the GBR parameters are optimized by particle swarm optimization; Determine the accurate normal vector matrix and illumination matrix, calculate the depth map and reconstruct the target object. Experimental results show that the proposed algorithm has advantages in accuracy, generalization and convenience of target object reconstruction.
A Criterion of Shape Similarity Between Line Segments for Clustering Analysis of Geographical Area Entities

A criterion of shape similarity between line segments is presented, which meets rotating invariance and translation invariance. The method is ease in calculation and fit for clustering analysis of geographical area entities. An algorithm of calculating shape similarity between line segments is put forward. The influence of different parameters on criterion results is analyzed.
A CPD-ICP Algorithm for Robotic Arm Grasping Pose

Point cloud registration is a crucial link in robotic arm visual grasping, and ICP point cloud registration algorithm is usually used to obtain the pose information of grasped objects. However, the current algorithm has the problems of long registration time and low accuracy. In this paper, a CPD-ICP algorithm is proposed for the grasping environment of the robotic arm. The CPD algorithm is used as the rough registration to obtain the initial pose of the source point cloud, and then the ICP algorithm is used for precise registration. The closed-loop grasping efficiency and end-end accuracy of the robotic arm are verified by testing experiments on public datasets such as Stanford Bunny and the TOOL-21 dataset created in this paper. A large number of experiments show that this method improves the grasping efficiency of the robotic arm and the grasping point at the end of the robotic arm is more accurate.
Risk Practices for Occupational Zoonotic Exposure to Tuberculosis in a High-Risk Population in Portugal

Concerning large game in Portugal, there is an epidemiological risk area for tuberculosis where the pressure of tuberculosis infection in wild animals is high. Hunters and other people involved in managing carcasses (evisceration and/or initial examination) of these animals should be considered as a high-risk population for sporadic occupational zoonotic infection. This study aims to evaluate and indicate these stakeholders’ main risk practices. The survey was carried out in two phases: a first phase with an anonymous survey to hunters about self-consumption of game meat and carcass handling practices, and a second phase of evaluation in loco of the practices carried out at collection points after driven hunts. As the main results suggested in this study, bad practices and improper handling of hunted carcasses potentially infected with tuberculosis were marked in both phases of the survey, mostly related to the lack of recognition of tuberculosis-like lesions and the non-use of individual protection material, such as gloves and masks. It is evident that stakeholders are interested in learning more about how to perform initial examination properly and what kind of biosecurity measures can be adopted to minimize zoonotic infection risk.
Neutrino Masses and Mixings: Status and Prospects

Neutrino oscillations have been found in experiments observing solar and atmospheric neutrinos. They were confirmed by experiments using neutrinos produced by reactors and accelerators. These observations imply that neutrinos have nonzero masses and that the flavor states are superpositions of mass states through a mixing matrix. Indeed, the observed oscillations have revealed two distinct mass differences and two large mixing angles. In this article we discuss these discoveries, the emerging neutrino standard model, the present knowledge of the neutrino masses and mixing parameters, and the prospects for improving upon this knowledge.
A Negotiation-Based Scheme for Interconnecting Heterogeneous Networks With Enhanced Services

Although the TCP/IP protocols have made great contributions to the development of the Internet, there is a consensus that the Internet needs improvement to solve the address space exhausted, content-oriented service, and so on. The academic community has proposed lots of valuable but heterogeneous network protocols, which provide better network services but split the Internet. To connect these heterogeneous networks, many middleboxes ( $e.g$ ., NAT and Tunnel) are deployed on Internet, but these middleboxes mask the communication peers and shield various network services that are provided by these heterogeneous networks. In this paper, we propose the HNN (heterogeneous networks negotiation), which provides transparent end-to-end communication and connects heterogeneous networks stateless in the data plane. What’s more, HNN enables the host to perceive the available network service provided by heterogeneous networks and helps the host structure appropriate packet header and packet forwarding path to take advantage of these heterogeneous networks services. We implement and evaluate an HNN prototype with commodity Barefoot Tofino programmable switch S9180-32X. The evaluation results demonstrate that HNN introduces little processing time overhead (no more than 3%) compared to well-known heterogeneous connectivity techniques ( $i.e$ ., NAT and Tunnel) and allows hosts to utilize heterogeneous network services.
5G as Enabler Technology for Smart City Use Cases

The smart city relies on smart management systems to protect the environment and improve the quality of life of citizens. This paper presents some related use cases and lists their various benefits. In addition, given the implementation of the current systems, specific requirements are presented as challenges to improve the actual delivery. To achieve this goal, this paper examines the role and potential of adding 5G New Radio (5G NR) technologies to smart city implementations. 5G NR is a new radio interface fully developed from the most basic level to support a wide variety of deployments and services. Therefore, an overview of 5G technology is provided here, along with a roadmap for the various releases to describe the 5G evolution path. Next, a discussion is conducted on the key services and features of 5G that are capable of supporting the improvement required in smart city development.
Energy-Aware Routing Approach in Internet of Things Using Genetic Algorithms

In Internet of Things (IoT) many approaches have been proposed to reduce the energy consumption and to extend the life time of sensor nodes. In this paper, we proposed a new clustering algorithm based on Genetic Algorithm (GA). The main goal of our approach is to reduce the energy consumption in the Wireless Sensor Network (WSN) and prolong network lifetime. The proposed approach will be applied the setup stage. The genetic algorithm will use different fitness functions. The experimental results show that the energy consumption is decreased when the proposed genetic energy-aware clustering algorithm is used.
Diffraction by a Fractional Semi-Infinite Plate: Comparison with Impedance Boundary Conditions

– The diffraction by a semi-inﬁnite plate with fractional boundary conditions (FBCs) and impedance boundary conditions (IBCs) is rigorously analyzed for the E-polarized plane wave incidence using the Wiener–Hopf technique. The scattered ﬁeld is evaluated with the aid of the steepest descent method, leading to a Fresnel integral representation. Numerical examples of the total ﬁeld intensity are presented, and scattering characteristics of the semi-inﬁnite plate are discussed. Comparisons of the results between the FBCs and the IBCs are also shown.
Enhancement of phytolith-occluded carbon accumulation of Moso bamboo response to temperatures elevation and different fertilization

The accumulation of phytolith-occluded carbon (PhytOC) in Moso bamboo could be a novel long-term carbon sequestration strategy. The objective of this study was to investigate the effects of temperature change and different fertilization on PhytOC accumulation. The pot experiment was established with different fertilization (including control (CK), nitrogen fertilizers (N), silicon fertilizers (Si), and a combination of nitrogen and silicon (NSi)) under high- and low-temperature. Despite the different fertilization, the PhytOC accumulation of the high-temperature group increases by 45.3% on average compared with the low-temperature group, suggesting higher temperature is greatly beneficial to the PhytOC accumulation. Fertilization significantly increases the accumulation of PhytOC (increased by 80.7% and 48.4% on average for the low- and high-temperature group, respectively) compared with CK. However, the N treatment increased both Moso bamboo biomass and PhytOC accumulation. The difference in the accumulation of PhytOC in Si and NSi was insignificant, indicating the combination of N and Si didn’t bring extra benefit to PhytOC accumulation compared to Si fertilizer alone. These results indicated the application of nitrogen fertilizer is a practical and effective method for enhancing long-term carbon sequestration for Moso bamboo. Based on our study, we conclude that global warming poses a positive effect on promoting the long-term carbon sequestration of Moso bamboo.
Accelerated algorithm for BTT identification parameter with GMC sparse regularization

Accurate identification of vibration parameters from blade tip timing (BTT) undersampled signals is essential for rotating blade vibration monitoring. However, the traditional parameter identification method of BTT signal depends on the prior. The existing sparse regularization method underestimates the reconstructed signal amplitude and has low computational efficiency. This paper resorts to an accelerated algorithm for BTT identification parameters based on generalized minimax-concave (GMC) sparse regularization to accurately and quickly identify amplitude and frequency parameters from undersampled signals. For amplitude underestimation, the non-convex GMC penalty is introduced so that the sparsity of the estimation is improved, and the convexity of the cost function is preserved. Moreover, Nesterov's accelerated iterative computation strategy is resorted to rapidly improving the convergence performance of obtaining the global optimum. The simulation results show that by reconstructing the BTT signal, the presented parameter identification algorithm based on accelerated generalized minimax-concave (AGMC) improves the computational rate with the inherited merits of accuracy.
Thermoelastic Analysis of FG-CNT Reinforced Shear Deformable Composite Plate Under Various Loadings

In the present paper, the flexural behavior of functionally graded carbon nanotube reinforced composite (FG-CNTRC) plate is investigated under the combined thermo-mechanical load. The carbon nanotube reinforced composite plate has been modeled mathematically based on the higher order shear deformation theory. The governing differential equation of the FG-CNTRC plate is obtained using the variational method and discretized using the suitable isoparametric finite element steps and solved numerically through a computer code developed in MATLAB environment. The material properties of the carbon nanotube reinforced composite plate are assumed to be temperature dependent and graded in the thickness direction using different grading rules. The validity and the convergence behavior of the presently proposed numerical model have been checked by comparing the responses with results available in published literature and subsequent simulation model developed in ANSYS. The effect of various design parameters (aspect ratios, support conditions, thickness ratios, volume fractions, temperature load and types of grading) on the static, stress and deformation behavior of the FG-CNTRC plate are examined under the influence of different types of loading (uniformly distributed load, sinusoidally distributed load, uniformly distributed line load, sinusoidally distributed line load and point load) and discussed detail.
Spectroscopic and Theoretical Analysis of the Interaction between Plasma Proteins and Phthalimide Analogs with Potential Medical Application

One of the groups of organic compounds with potential use in medicine and pharmacy is phthalimide derivatives. They are characterized by a wide range of properties such as antibacterial, antifungal, and anti-inflammatory. In this study, we focused on research on four phthalimide derivatives with proven non-toxicity, which are cyclooxygenase inhibitors. With the use of molecular docking study and spectroscopic methods, such as fluorescence, circular dichroism, and FT-IR spectroscopies, we analyzed the way the tested compounds interact with plasma proteins. Among the many proteins present in the plasma, we selected three: albumin, α1-acid glycoprotein, and gamma globulin, which play significant roles in the human body. The obtained results showed that all tested compounds bind to the analyzed proteins. They interact most strongly with albumin, which is a transport protein. However, interactions with serum albumin and orosomucoid do not cause significant changes in their structures. Only in the case of gamma globulins significant changes were observed in protein secondary structure.
Bacterial Profile of External Ocular Infections, Its Associated Factors, and Antimicrobial Susceptibility Pattern among Patients Attending Karamara Hospital, Jigjiga, Eastern Ethiopia

Background External ocular infection is a global public health problem. Frequently, bacteria cause an ocular infection that ranges from morbidity to loss of vision. The increasing bacterial resistance in ocular infections leads to the risk of treatment failure with possibly serious consequences. Objective The study aimed to assess the bacterial profile of external ocular infections, their associated factors, and antimicrobial susceptibility pattern among patients admitted to Karamara hospital, Jigjiga, Eastern Ethiopia. Method Institutional-basedcross-sectional study was conducted on 288 conveniently selected patients among patients admitted to Karamara hospital from May 1 to June 30, 2020. Data were collected using a structured questionnaire. The ocular sample was collected and cultured in the appropriate culture media and identified using a series of biochemical tests. Antimicrobial susceptibility testing of isolates was performed by using the disk diffusion method. Data were double entered onto EpiData version 3.1 then exported to SPSS version 20 and analyzed to calculate descriptive frequency and odds ratio, and p value ≤0.05 was taken as the significant value. Result The prevalence of bacterial infection in external ocular samples was 62.2% (95% CI: 56.6%, 68.4%). Out of the 179 isolates, the majority of the bacterial isolates (87.7%) were Gram-positive. Staphylococcus aureus (53.1%) was the predominant isolate. Using soap for washing the face (AOR = 0.43; 95% CI: 0.29, 0.95), having diabetes mellitus (AOR = 3.11; 95% CI: 1.45, 6.75), and history of hospitalization (AOR = 2.82; 95% CI: 1.44, 5.54) were significantly associated with external ocular infection. Most (95.5%) of the Gram-positive bacteria showed resistance to penicillin, but they were susceptible to vancomycin, clindamycin, and ciprofloxacin. Conclusion The study showed a high prevalence of bacterial infections with the predominant isolate was S. aureus. Penicillin-resistant bacteria were identified among Gram-positive bacterial isolates. Soap usage, hospitalization, and diabetes mellitus were associated with the infection. Antibiotics that were susceptible to the specific bacteria should be used as a drug of choice and using soap for washing the face is advisable to protect against external ocular infection.