Miracle-dz/UniFAR-FTUs huggingface dataset:
Tropical Cyclone Intensity Estimation Using Two-Branch Convolutional Neural Network From Infrared and Water Vapor Images

This article proposes a two-branch convolutional neural network model (TCIENet) to estimate the intensity of tropical cyclone (TC) from infrared and water vapor images in the northwest Pacific basin. Three different sizes of input images are explored to train the TCIENet model, and the size of $60\times 60$ pixels (radius 450 km) achieves the best performance with an overall root mean square error (RMSE) of 5.13 m/s and mean absolute error (MAE) of 4.03 m/s. TCs are divided into six categories whose RMSEs range from 4.07 to 6.05 m/s. In addition, the TCs in the year 2017 are used to analyze the correlation between the rainfall intensity from the global precipitation measurement (GPM) mission and the estimation errors of the TCIENet model. Preliminary results suggest that the model performs the best at the categories of tropical storm and super typhoon, but it degrades in performance for moderate intense categories and the weakest category of the tropical depression. The correlation coefficient between the estimation error and the rainfall intensity is 0.19. It is far from certain that the rainfall intensity accounts for the error achieved by the TCIENet model.
Prevalence and Antimicrobial Susceptibility Profile of Metallo-β-Lactamase Producing Pseudomonas aeruginosa Isolates at Kenyatta National Hospital

Pseudomonas aeruginosa is a major cause of nosocomial infections with high mortality rates. The organism is highly resistant to most classes of drugs used and can develop resistance during treatment. One of the resistance mechanisms of P. aeruginosais is Metallo-β-Lactamase (MBL) production. MBL producing P. aeruginosa is a major health concern given it’s resistance to almost all available drugs. The prevalence of this resistant strain is unknown since there is no standardized method for testing MBL production. This was a laboratory based cross-sectional prospective study that was carried out from September 2015 to March 2016 at Kenyatta National Hospital. Ninety-nine isolates of P. aeruginosa were collected during the period and tested for antimicrobial susceptibility and isolates found to be resistant to imipenem tested for MBL production. The results indicated high resistance of P. aeruginosa to commonly used drugs. Of the isolates tested 69.7% were resistant to piperacillin, 63.6% were resistant to aztreonam, 58.6% were resistant to levofloxacin, 55.6% were resistant to cefipime, 65.7% were resistant to ceftazidime, 68.7% were resistant to ticarcillin-clavulanate, 72.2% were resistant to meropenem, 64.9% were resistance to imipenem while 86.4% of urine isolates were resistant to ofloxacin. Of the isolates resistant to imipenem 87.3% were found to be MBL producers. In conclusion, P. aeruginosais highly resistant to the drugs currently is used for treatment and resistance to carbapenems is largely due to MBL production.
Macro Flash-based Multimediafor Improvement The Learning Result of Volleyball Game

The purpose of this study is to determine the improvement of learning skill learning outcomes on teacher training and education science faculty students UNSRI class of force 2016 after using multimedia-based macro flash. This study uses classroom action research to determine the effectiveness of multimedia-based learning macro flash. Subjects in this study are physical education and health students amounting to 40 people who follow the game volleyball. The test instrument used to determine student learning outcomes is face wall-volley test. Classroom action research is done by using 2 cycles. The result of the research on the 1st cycle showed that there was an increase of learning outcomes of the students on the first test. There were 2 students (5%) in the good category increased to 10 students (25%), 12 students (30%) were in enough category to increase 25 students (62.5%), and the lesser category that initially 26 students (65%) decreased to 5 students (12.5%). The result in cycle 2 is that there is a significant increase of 10 students (25%) in the good category to 37 students (92.5%), and 3 students (7, 5%) are in enough category. The findings this study is that multimedia macroflash is effectively used to improve the learning outcomes of pasing skills on the game of volleyball.The implications of this research are macro flash based multimedia can be used as a learning media choice that can be used to improve the learning of
Unknotting number and Khovanov homology

We show that the order of torsion homology classes in Bar-Natan deformation of Khovanov homology is a lower bound for the unknotting number. We give examples of knots that this is a better lower bound than |s(K)/2|, where s(K) is the Rasmussen s invariant defined by the Bar-Natan spectral sequence.
An approach for automating the design of convolutional neural networks

Image recognition is an independent field of the computer science nowadays. Image classification is one of its main domains, in which investigated objects can be represented by an image or a video stream. The objective of the image classification is correct assigning of objects to corresponding classes, and there exist many effective approaches for solving this problem. One of the most popular approaches is artificial neural networks, which are a method from the field of machine learning. Despite the fact that neural networks cover a wide range of machine learning problems, they are also able to solve the problem of the image classification. However, there is one more specific approach for neural networks-based images classification that applies the deep learning conception. The best-known deep learning algorithm is called the convolutional neural network (CNN). The CNN uses a principle of using the same parts of a neural network to manipulate with different local parts of an input image. As well as the standard neural network architecture, the convolutional neural network should be fine-tuned for solving a certain problem. Because of the CNN’s depth and complexity, the tuning process usually is complex and needs huge computational efforts. In this study, we have proposed an approach for creating ensembles of previously trained convolutional neural networks. The approach allows to increase the performance of the image classification. The results of experiments for image classification problems are presented and discussed. The experiments show that the proposed approach is able to outperform the standard perceptron and single convolutional neural network.
Vortex Formations and Its Associated Surges in a Sunspot Light Bridge

We report on the successive occurrence of 0. ″5 wide photospheric vortices with strong transverse shear flows at the edge of a sunspot light bridge (LB), and the subsequent ejection of chromospheric surges observed using a Visible Inteferometry Spectrograph, a broadband TiO filter, and a Near InfRared Imaging Spectrograph of the Goode Solar Telescope operating at Big Bear Solar Observatory. The Hα surges ejected at the location of the vortices often appeared in a hollow cylindrical structure. We also observed quasi-periodic vortex-associated bright Hα plasma blobs moving upward with a speed of up to 4 km s−1. In view of the strong shear flow at the edge of the LB, it is likely that the vortices form under the Kelvin–Helmholtz instability. The surges may result from either the magnetic tension generated after magnetic reconnection or an acoustic impulse of a fast photospheric transverse flow. Otherwise, the surges could also be associated with Alfvénic waves, in which case their origin could be torsional magnetic fields generated in the process of the vortex formation.
The Central 300 pc of the Galaxy Probed by Infrared Spectra of and CO. I. Predominance of Warm and Diffuse Gas and High H2 Ionization Rate

The molecular gas in the central molecular zone (CMZ) of the Galaxy has been studied using infrared absorption spectra of H3+ lines at 3.5–4.0 μm and CO lines near 2.34 μm. In addition to the previously reported spectra of these lines toward eight stars located within 30 pc of Sgr A*, there are now spectra toward ∼30 bright stars located from 140 pc west to 120 pc east of Sgr A*. The spectra show the presence of warm (T ∼ 200 K) and diffuse (n < 100 cm−3) gas with N(H3+) ∼ 3 × 1015 cm−2 on the majority of sight lines. Instead of our previous analysis, in which only electrons from photoionization of carbon atoms were considered, we have developed a simple model calculation in which the cosmic-ray ionization of H2 and H is also taken into account. We conclude the following: (1) Warm and diffuse gas dominates the volume of the CMZ. The volume filling factor of dense gas must be much less than 0.1, and the CMZ is not as opaque as previously considered. The X-ray-emitting ultrahot 108 K plasma, which some thought to dominate the CMZ, does not exist over extended regions. (2) The cosmic-ray ionization rate is ζ ∼ 2 × 10−14 s−1, higher than in Galactic dense clouds and diffuse clouds by factors of ∼1000 and ∼100, respectively. If the equipartition law stands, this suggests a pervading magnetic field on the order of ∼100 μG.
Permutability of subgroups of semidirect product of p-groups

Two subgroups H and K of a group G are called permutable if HK = KH. Furthermore, H is permutable subgroup (quasinormal subgroup) if HK = KH for any subgroup K of G. Certainly, every normal subgroup is permutable. Permutability does not imply normality [2]. Permutability of subgroups of G × H that are direct products of subgroups of the direct factors were investigated in [6]. In this article, the classification of all permutable subgroups of the group G = ZpkoZp will be investigated for any odd prime p and for any integer k ≥ 2. On the other hand, many properties of the group G were studied and configured. Mathematics Subject Classification: 22E46, 53C35, 57S20
Total ionizing dose effects of domestic SiGe HBTs under different dose rates

The total ionizing radiation (TID) response of commercial NPN silicon germanium hetero-junction bipolar transistors (SiGe HBTs) produced domestically are investigated under dose rates of 800 mGy(Si)/s and 1.3 mGy(Si)/s with a Co-60 gamma irradiation source. The changes of transistor parameters such as Gummel characteristics, and excess base current before and after irradiation, are examined. The results of the experiments show that for the KT1151, the radiation damage is slightly different under the different dose rates after prolonged annealing, and shows a time dependent effect (TDE). For the KT9041, however, the degradations of low dose rate irradiation is higher than for the high dose rate, demonstrating that there is a potential enhanced low dose rate sensitivity (ELDRS) effect for the KT9041. The possible underlying physical mechanisms of the different dose rates responses induced by the gamma rays are discussed.
On the time decay in phase–lag thermoelasticity with two temperatures

The aim of this paper is to study the time decay of the solutions for two models of the one-dimensional phase-lag thermoelasticity with two temperatures. The first one is obtained when the heat flux vector and the inductive temperature are approximated by a second-order and first-order Taylor polynomial, respectively. In this case, the solutions decay in a slow way. The second model that we consider is obtained taking first-order Taylor approximations for the inductive thermal displacement, the inductive temperature and the heat flux. The decay is, therefore, of exponential type.
Thermal and hydraulic phenomena in boundary layer of minijets impingement on curved surfaces

Presented work considers flow and thermal phenomena occurring during the single minijet impingement on curved surfaces, heated with a constant heat flux, as well as the array of minijets. Numerical analyses, based on the mass, momentum and energy conservation laws, were conducted, regarding single phase and two-phase simulations. Focus was placed on the proper model construction, in which turbulence and boundary layer modeling was crucial. Calculations were done for various inlet parameters. Initial single minijet results served as the basis for the main calculations, which were conducted for two jet arrays, with flat and curved heated surfaces. Such complex geometries came from the cooling systems of electrical devices, and the geometry of cylindrical heat exchanger. The results, regarding Nusselt number, heated surface temperature, turbulence kinetic energy, production of entropy and vorticity, were presented and discussed. For assumed geometrical parameters similar results were obtained.
Closed-Loop Cadence and Instantaneous Power Control on a Motorized Functional Electrical Stimulation Cycle

Motorized functional electrical stimulation (FES) cycling is a rehabilitation therapy in which electrical stimulation is used to activate lower body muscles to pedal a cycle in conjunction with motorized assistance. FES cycling has been demonstrated to improve cardiovascular parameters, muscle mass, and motor control of people with neurological conditions (NCs). A common FES cycling objective is simultaneous cadence and power (torque) tracking; however, it is unclear how to best coordinate the FES and motor contributions and if power should be tracked instantaneously or averaged over a period of time. This article develops a new FES cycling controller using a switched Lyapunov-like dwell-time analysis for the nonlinear, uncertain cycling system to conclude global exponential cadence tracking and uniformly ultimately bounded power tracking. To evaluate the performance of the developed controller, comparisons are made with two previously developed FES cycling controllers through experiments on seven able-bodied participants and six participants with NCs. For a desired cadence of 50 RPM and a desired power of 10 W, the developed controller demonstrated the smallest tracking errors with an average cadence and power error of 0.01±1.03 RPM and 0.00±0.94 W, respectively, in the able-bodied population and an average cadence and power error of 0.02±1.87 RPM and 0.00±2.46 W, respectively, in the population of people with NCs. Results suggest that the electric motor should be used to track cadence and the FES induced muscle torques should be used to track instantaneous power.
Symmetry Breaking in Stochastic Dynamics and Turbulence

Symmetries play paramount roles in dynamics of physical systems. All theories of quantum physics and microworld including the fundamental Standard Model are constructed on the basis of symmetry principles. In classical physics, the importance and weight of these principles are the same as in quantum physics: dynamics of complex nonlinear statistical systems is straightforwardly dictated by their symmetry or its breaking, as we demonstrate on the example of developed (magneto)hydrodynamic turbulence and the related theoretical models. To simplify the problem, unbounded models are commonly used. However, turbulence is a mesoscopic phenomenon and the size of the system must be taken into account. It turns out that influence of outer length of turbulence is significant and can lead to intermittency. More precisely, we analyze the connection of phenomena such as behavior of statistical correlations of observable quantities, anomalous scaling, and generation of magnetic field by hydrodynamic fluctuations with symmetries such as Galilean symmetry, isotropy, spatial parity and their violation and finite size of the system.
Directional Discontinuous Reception (DDRX) for mmWave Enabled 5G Communications

Emerging mmWave enabled 5G wireless communications, offer tremendous increase in data demands and better quality expectations. However, high mmWave frequencies call for directional beamforming to overcome propagation limitations and enhance spatial capabilities. The establishment of new directional paradigm challenges the current Discontinuous Reception (DRX) mechanism for power saving in the User Equipment (UE). In this article, we introduce new Directional-Discontinuous Reception (DDRX) for directional air interface expected in mmWave enabled 5G communications. DDRX mechanism emphasizes the importance of beam searching for alignment of directional beams between UE and 5G base station (gNB), after every sleep cycle. Beam searching, though inevitable, reduces the effective sleep time. We propose three new DDRX mechanisms: Integrated DDRX (I-DDRX), Standalone DDRX (S-DDRX), and Cooperative DDRX (C-DDRX) to limit the impediments on power saving. Probabilistic estimation of UE's power saving and delay is performed for all the three different DDRX mechanisms using semi-Markov process. The power saving achieved in I-DDRX is 12.1 percent higher than S-DDRX. The power saving of C-DDRX is 6.1 percent higher than S-DDRX. Analytical results of DDRX proposals are validated by simulation studies, performed over real wireless trace.
Quality assessment of local and imported Honey sold in Katsina State, Nigeria

The quality of different brands of honey sold in Katsina state was investigated. The samples were obtained from supermarkets, local shops and local homes, as part of local and imported brands. Several physico-chemical parameters such as water content, sugar content, pH, ash content, hydroxymethylfurfural (HMF), acidity and refractive index were evaluated. Similarly, other tests for adulteration were also carried out among the different brands studied. Analyses were carried out in triplicates and data was analysed using averages. The results for the physicochemical properties showed the following range of values for pH (3.95 to 5.1), moisture content (8.23 to 15.23%), ash content (0.06 to 0.36%), acidity (4 to 32 meqkg-1). While the adulteration tests for hydroxymethylfurfural ranged from 74.7 to 119.1 mg/kg, sugar content from 75.607 to 77.427 g/100g. The adulteration test indicated the presence of added commercial invert sugar and absence of added glucose. Some traces of molasses were also detected in samples obtained from supermarkets and local shops, however, none from local villages were observed. It was concluded that most samples obtained from local villages showed better quality than samples collected from supermarket and Islamic stores.
PENGARUH SEKTOR PARIWISATA TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA

Sektor pariwisata memiliki peranan penting sebagai salah satu sumber bagi penerimaan devisa, serta dapat mendorong pertumbuhan ekonomi nasional, khususnya dalam mengurangi jumlah pengangguran dan meningkatkan produktivitas suatu negara. Sektor pariwisata merupakan salah satu sektor strategis yang harus dimanfaatkan untuk pembangunan kepariwisataan sebagai bagian dari pembangunan Nasional. Pembangunan kepariwisataan mempunyai tujuan akhir untuk meningkatkan pendapatan masyarakat yang pada akhirnya dapat meningkatkan kesejahteraan masyarakat dan pertumbuhan ekonomi. Perkembangan pariwisata juga mendorong dan mempercepat pertumbuhan ekonomi. Kegiatan pariwisata menciptakan permintaan, baik konsumsi maupun investasi yang pada gilirannya akan menimbulkan kegiatan produksi barang dan jasa. Penelitian ini mengkaji pengaruh pariwisata terhadap pertumbuhan ekonomi di Indonesia berdasarkan data time series selama tahun 1975 - 2017. Penelitian ini menggunakan model persamaan simultan yang diestimasi dengan Two stage least square. Hasil menunjukkan bahwa pariwisata berpengaruh positif terhadap pertumbuhan ekonomi dan sebaliknya pertumbuhan ekonomi berpengaruh positif terhadap periwisata. Faktor lain yang berpengaruh terhadap pariwisata di Indonesia yaitu nilai tukar dan inflasi. Pariwisata dapat meningkatkan pendapatan devisa, menciptakan lapangan kerja, merangsang pertumbuhan industri pariwisata, oleh karena itu dapat memicu pertumbuhan ekonomi, terlebih dapat mendorong di berbagai negara untuk mengembangkan sektor pariwisata. Pariwisata berkontribusi terhadap pertumbuhan ekonomi melalui berbagai jalur termasuk pendapatan mata uang asing, menarik investasi internasional.
Solving a coupled system of functional equations using coupled coincidence point technique in metric-like spaces

In this article, we study some new coupled coincidence and coupled common fixed point theorems in metric-like spaces for integral type contraction condition involving a pair of mappings satisfying the CRLg property. As an application, we discuss the existence of the solution for a coupled system of functional equations arising in dynamic programming. Our results generalize and modify several comparable results in the literature. Finally, two examples are given to illustrate the usefulness of the theoretical results.
Keeping it Real: An Alternative Picture for Symmetry and Topology in Condensed Matter Systems

While physical systems are typically defined in real space, oftentimes the origins of intriguing phenomena are understood only after one passes into descriptions in the momentum space or, more abstractly, in the parameter space of all possible systems sharing certain common traits. This dissertation asserts that a direct analysis on the symmetry and topology of the real-space description can serve as a powerful alternative. The assertion is supported by new results obtained in three rather distinct classes of problems. First, for noninteracting electrons in a crystal symmetric under any one of the 1,651 magnetic space groups, we will prove that, insofar as symmetry representations are concerned, a comprehensive analysis on all real-space insulators leads to the full set of possible band structures, including those which are topological. Second, in the context of strongly correlated quantum magnets, we will argue that nontrivial topology of the spin lattice can necessitate the development of either spontaneous symmetry breaking or intrinsic topological orders. Finally, we will turn our attention to the study of quantuminformation flow in the real space, and show that it leads to an extension of chiral topological phases to the reign of strongly out-of-equilibrium quantum dynamics.
Wideband Leaky-Wave Antennas Loaded With Gradient Metasurface for Fixed-Beam Radiations With Customized Tilting Angles

We propose a hybrid dispersion compensation method to design wideband fixed-beam leaky-wave antennas (LWAs), with the tilting angle customizable in both forward and backward quadrants. In a previous work, a triangular dispersive prism constituted by metallic pins was presented to compensate for the dispersion of traditional LWAs and achieve a squint-free radiation in a relative bandwidth of 20%. However, that design suffered from the drawbacks of large geometry and limited angular range. To overcome these limitations, here a broadband gradient metasurface based on geometric phase theory is loaded in front of the prism to customize the radiation angle and reduce the total prism size. In addition, a novel ridged gap waveguide is employed to improve the linearity of LWA dispersion, which is beneficial to maintain the bandwidth of LWA with reduced size. Two examples are presented to demonstrate the excellent performance of the designed antennas. One antenna radiates at an angle of 39.5° in a squint-free bandwidth of 20%, but the prism size is decreased to a quarter of the original one, while the other realizes a broadside radiation with a squint-free bandwidth of 18%. Good agreement is exhibited between simulated and experimental results. The proposed method can be further extended to compensate for the dispersion of antenna arrays and improve the angular stability of the radiation beams in a large frequency band.
On the sum of fourth powers in arithmetic progression

We prove that the equation ${ (x - y)^4 + x^4 + (x + y)^4 = z^n }$ has no integer solutions ${ x, y, z}$ with ${ \gcd(x, y) = 1 }$ for all integers ${ n > 1 }$. We mainly use a modular approach with two Frey ${ \mathbb{Q} }$-curves defined over the field ${ \mathbb{Q}( \sqrt{30} ) }$.