Miracle-dz/UniFAR-FTUs huggingface dataset:
Open-Stopband Suppression via Double Asymmetric Discontinuities in 1-D Periodic 2-D Leaky-Wave Structures

A technique for the open-stopband (OSB) suppression in one-dimensional (1-D) periodic leaky-wave antennas based on a double asymmetric series/shunt discontinuity inside the unit cell is discussed and applied to a canonical 2-D structure. A longitudinal equivalent network formalism is developed here to analyze the unit-cell matching, which confirms that the OSB suppression cannot be achieved using a double symmetric discontinuity. Conversely, an infinite number of matched configurations can be obtained using two unequal passive discontinuities, whose reciprocal distance can be chosen freely inside a continuous range always including a quarter wavelength. The possibility of suppressing the OSB is then shown for both TM and TE leaky modes supported by a metal strip grating on a grounded slab by using independent full-wave modal solvers and considering typical geometries with either narrow metallic strips or narrow slots inside the unit cell.
A Low-Profile Printed Cavity Antenna With Simultaneous Bandwidth and Radiation Pattern Improvement

A low-profile printed cavity antenna (PCA) under triple-mode resonance is proposed towards a simultaneous impedance bandwidth and a radiation pattern improvement. Based on the cavity model, the far-zone radiated fields of the PCA are theoretically investigated. The results demonstrate that its E-plane half-power beamwidth (HPBW) could be significantly improved by using two half-mode cavities instead of a single-patch resonator. After that, the width of the radiating patch is progressively enlarged and separated in order to excite three resonant modes for bandwidth-enhancement. Moreover, two additional conductive vias are loaded below the radiating patch in order to reduce its increased E-plane cross polarization. In final, the proposed antenna is fabricated and tested. Experimental results show that its impedance bandwidth is obviously extended to about 14.3% with appearance of three in-band attenuation poles. Meanwhile, a low-profile property with the height of 0.027 free-space wavelength is achieved. In particular, the PCA has acquired a wide E-plane HPBW of around 135°, while keeping a low cross polarization of below –20 dB in both E- and H-planes.
Simulacija magnetnega vodenja oblike plazme v tokamaku ITER

Magistrsko delo obravnava magnetno vodenje oblike plazme v tokamaku ITER. Najprej zapisemo osnovni magnetni model plazme, ki se uporablja pri simulaciji za vodenje. V kasnejsih poglavjih se posvetimo samemu algoritmu za vodenje toka in oblike plazme. Predstavimo implementacijo magnetnega modela plazme in prediktivno metodo vodenja. Osredotocimo se na prilagoditve, ki so bile izvedene na obstojecem algoritmu za resevanje optimizacijskih problemov. Resevanje regulacijskega problema prediktivnega vodenja metodo poteka v dveh delih. Najprej model pripravimo za regulator z zaporedjem operacij, s katerim dobimo dosti bolj kompakten model, ki se vedno dobro opisuje dinamiko sistema. S tem zagotovimo robustnost in tocnost metode. Prediktivno metodo pretvorimo v optimizacijski problem kvadratnega programiranja, ki ga resujemo s hitro gradientno metodo prvega reda. Delo zajema tudi optimizacijo izvajanja programa. Sledi prikaz rezultatov simulacij, kjer prikažemo, da je izbrana metoda s prilagoditvami casovno ugodnejsa od trenutnih komericalnih metod ob enaki natancnosti.
Planet formation and migration near the silicate sublimation front in protoplanetary disks

Context. The increasing number of newly detected exoplanets at short orbital periods raises questions about their formation and migration histories. Planet formation and migration depend heavily on the structure and dynamics of protoplanetary disks. A particular puzzle that requires explanation arises from one of the key results of the Kepler mission, namely the increase in the planetary occurrence rate with orbital period up to 10 days for F, G, K and M stars. Aims. We investigate the conditions for planet formation and migration near the dust sublimation front in protostellar disks around young Sun-like stars. We are especially interested in determining the positions where the drift of pebbles would be stopped, and where the migration of Earth-like planets and super-Earths would be halted. Methods. For this analysis we use iterative 2D radiation hydrostatic disk models which include irradiation by the star, and dust sublimation and deposition depending on the local temperature and vapor pressure. Results. Our results show the temperature and density structure of a gas and dust disk around a young Sun-like star. We perform a parameter study by varying the magnetized turbulence onset temperature, the accretion stress, the dust mass fraction, and the mass accretion rate. Our models feature a gas-only inner disk, a silicate sublimation front and dust rim starting at around 0.08 au, an ionization transition zone with a corresponding density jump, and a pressure maximum which acts as a pebble trap at around 0.12 au. Migration torque maps show Earth- and super-Earth-mass planets halt in our model disks at orbital periods ranging from 10 to 22 days. Conclusions. Such periods are in good agreement with both the inferred location of the innermost planets in multiplanetary systems, and the break in planet occurrence rates from the Kepler sample at 10 days. In particular, models with small grains depleted produce a trap located at a 10-day orbital period, while models with a higher abundance of small grains present a trap at around a 17-day orbital period. The snow line lies at 1.6 au, near where the occurrence rate of the giant planets peaks. We conclude that the dust sublimation zone is crucial for forming close-in planets, especially when considering tightly packed super-Earth systems.
Signal discrimination without denoising

Abstract This article reveals that two previously established tests for autocovariance equality between stationary autoregressive moving average (ARMA) processes can also be used to discriminate between harmonic signals embedded in noise without the need for any reconstruction or modeling. A third test is also introduced and used for the same purpose. An application involving functional magnetic resonance imaging (fMRI) as well as an extension involving a generalized linear chirp (GLC) process are presented at the end.
Circularly Polarized Self-Diplexing SIW Cavity Backed Slot Antennas

In this communication, three novel self-diplexing circularly polarized (CP) antenna configurations are presented in substrate integrated waveguide (SIW) technology for dual-band communication systems. The antennas provide left-hand circular polarization (LHCP), right-hand circular polarization (RHCP), and different sense of polarization at two bands. An asymmetric cross-slot on top of a rectangular SIW cavity is used as the basic radiator. A different sense of polarizations over the bands is obtained by changing the feed position and the slot orientation. The CP bands can be tuned independently. In each case, 3 dB axial ratio bandwidth is at least 0.81%. Working principle of the antennas is explained with the help of full-wave electromagnetic simulations. Finally, the three $X$ -band prototype antennas are fabricated and tested for experimental validation. All of them have high front-to-back ratio (FTBR) and low cross-polarization level.
Invarianza de Medición y Estructural de la Escala Básica de Empatía Breve (BES-B) en Niños y Adolescentes Peruanos

El objetivo del presente estudio fue examinar la invarianza de medición y la invarianza estructural de una medida de empatía, para niños y adolescentes peruanos. Los participantes fueron 417, provenientes de Lima Metropolitana. Se aplicó la Escala Básica de Empatía Breve (BES-B) de manera estandarizada. El análisis consistió en aplicar el modelamiento de ecuaciones estructurales para evaluar la invarianza de medición y las medias latentes en los constructos de empatía afectiva y cognitiva. Los resultados muestran que la invarianza de medición se mantiene satisfactoriamente de acuerdo al género y la edad; las diferencias en las medias latentes muestran ser entre fuertes o moderadas respecto a la edad y el sexo. Se discuten las implicaciones teóricas y prácticas.
State observer-based data assimilation: a PID control-inspired observer in the pressure equation

A novel state observer-based data-assimilation technique is described and then assessed with a numerical test case. This novel technique assimilates pressure data through a state observer that is constructed based on a proportional-integral-derivative control law and that acts on the pressure equation. The technique is assessed by comparing the performance to a standard simulation and a data-assimilated simulation using a previously-established technique, wherein a proportional observer is placed in the momentum equations. First, the mechanism through which measured pressure data is assimilated into simulations is described for both the previously-established and the novel technique. Next, the techniques are applied to a square cylinder in cross-flow at a Reynolds number of 100. A reference simulation is run on a dense mesh, and both standard and data-assimilated simulations are run on a much coarser mesh. The primary characteristic used to evaluate the techniques is their dynamic performance, in terms of how quickly vortex shedding is realized and how accurately the frequency of the vortex shedding is modeled on the coarser mesh. Both of the data assimilation techniques produce simulations with a much faster transition from initial conditions to vortex shedding than the standard simulation on the coarse mesh. The data-assimilated simulation using an observer in the pressure equations most accurately estimates the pressures and velocities at the probed locations and produces a frequency spectrum that most closely matches the reference simulation.
Evolution of clusters in large-scale dynamical networks

Recent tremendous progress in electronics, complexity theory and network science provides new opportunities for intellectual control of complex large-scale systems operating in turbulent environment via networks of interconnected miniature devices, serving as actuators, sensors and data processors. Actual dynamics of the resulting control systems are too sophisticated to be examined controlled by traditional methods, which primarily deal with ordinary differential equations. However, their complexity can be dramatically reduced by fast processes, organizing the elementary units of the system (called agents) into relatively small number of clusters. The clusters emerge and deteriorate in response to changes in the environment, and the processes of their formation and destruction are very short in time. During the periods of the clusters’ existence, the system’s dynamics is essentially low-dimensional due to synchronization between the agents in each cluster. An enormously complicated system is thus reduced to a finite-dimensional model with time-varying structure of the state vector. The low-dimensionality of the reduced model allows to control it by using classical methods, e.g. model-predictive or adaptive control. This philosophy of complex systems control is illustrated on an experimental setup, called the “airplane with feathers”. The wings of this airplane are equipped with arrays of microsensors, microcomputers, and microactuators (“feathers”). The feathers self-organize into clusters by using a multi-agent consensus protocol; the aim of this coordination is to reduce the perturbing forces, affecting the airplane in a turbulent flow.
Using fuzzy controller for improvement of power decoupling performance in PV systems

ABSTRACT In photovoltaic systems in order to ensure the stable operation of the module, ripple value of the input voltage should be mitigated to a small value; for this purpose, the power decoupling circuit can be used. In this work, considering the four-switch-based power decoupling circuit developed, the conventional Proportional-Integral (PI) controller has been replaced with well-known fuzzy controller, which enjoys a wide range of control gain variation, both linear and nonlinear rules' capability, robustness and more flexibility. The operating modes of the circuit are addressed and accordingly the space state model is derived. Then, the proposed controller has been replaced and the performance of the system will be analysed. The power decoupling circuit along with the proposed controller is implemented by MATLAB/Simulink software. The simulation results show the ability of the proposed fuzzy controller to improve the performance of the system in comparison to the conventional PI controller. A deeper comparison of two controllers confirms that the system would experience more accuracy, faster response and lower total harmonic distortion (THD) in presence of the proposed fuzzy controller.
PENGARUH RASIO LIKUIDITAS TERHADAP HARGA SAHAM SYARIAHYANG TERDAFTAR DI JAKARTA ISLAMIC INDEX (JII)(STUDI KASUS PT.UNILEVER INDONESIA TBK PERIODE 2008-2014).[SKRIPSI]

Jakarta Islamic Index atau biasa disebut JII adalah salah satu indeks saham yang ada di Indonesia yang menghitung index harga rata-rata saham untuk jenis saham-saham yang memenuhi kriteria syariah. Saham syariah merupakan saham-saham perusahaan yang dalam operasionalnya tidak bertentangan dengan syariat islam, baik mengenai produk maupun manajemennya. Pengelompokan saham syariah berada dalam Jakarta Islamic Index (JII) di Bursa Efek Jakarta (BEJ). Rontoknya harga saham dari penghuni JII membuat indeks saham unggulan syariah tak kuasa menutup perdagangan di zona merah. Namun aksi beli investor berhasil membawa 7 emiten JII ke zona positif. Salah satu emiten JII pencetak kenaikan harga saham tertinggi adalah UNVR yang menguat Rp 250 per saham, hal ini merupakan suatu fenomena yang perlu dikaji oleh para analis pasar modal dan Penelitian ini bertujuan mengungkapkan bagaimana pengaruh rasio likuiditas (Rasio Lancar / Current Ratio dan Rasio Cepat / Quick Ratio) terhadap harga saham syariah yang terdaftar di Jakarta Islamic Index (JII). Obyek penelitian ini adalah PT.Unilever Indonesia tbk yang tercatat dalam Jakarta Islamic Index (JII) di Bursa Efek Jakarta (BEJ) periode 2008 – 2014. Penentuan sample dalam penelitian ini menggunakan Purpose Sampling berdasarkan ketersediaan data selama periode penelitian dan jenis datanya adalah data sekunder, adapun metode analisa yang digunakan adalah model regresi liner berganda. Hasil penelitian ini menunjukan bahwa Rasio Lancar memberikan pengaruh yang signifikan terhadap harga saham syariah, Sedangkan Rasio Cepat tidak mempunyai pengaruh yang signifikan terhadap harga saham syariah dalam Jakarta Islamic Index (JII). Kesimpulan penelitian ini menunjukkan bahwa model regresi yang terbentuk dengan variabel independen yang terdiri dari Rasio Lancar dan Rasio Cepat cukup efektif digunakan untuk memprediksi harga saham syariah dalam Jakarta Islamic Index (JII). Kemampuan prediksi dari kedua variabel independen terhadap harga saham sebesar 52,4 %. Sedangkan sisanya dipengaruhi oleh faktor luar penelitian.
Enhanced Stability and Bioactivity of Curcuma comosa Roxb. Extract in Electrospun Gelatin Nanofibers

Electrospun fiber can be used as a carrier for releasing active ingredients at the target site to achieve the effects of drug treatment. The objectives of this research work were to study suitable conditions for producing electrospun gelatin fiber loaded with crude Curcuma comosa Roxb. extract (CE) and to study antioxidant, anti-tyrosinase and anti-bacterial activities and its freeze–thaw stability as well. To achieve optimal conditions for producing electrospun gelatin fiber, the concentration of gelatin was adjusted to 30% w/v in a co-solvent system of acetic acid/water (9:1 v/v) with a feed rate of 3 mL/h and an applied voltage of 15 kV. The lowest percent loading of 5% (w/v) CE in gelatin nanofiber exhibited the highest DPPH radical scavenging activity of 94% and the highest inhibition of tyrosinase enzyme of 35%. Moreover, the inhibition zones for antibacterial activities against S. aureus and S. epidermidis were 7.77 ± 0.21 and 7.73 ± 0.12 mm, respectively. The freeze–thaw stability of CE in electrospun gelatin nanofiber was significantly different (p < 0.05) after the 4th cycle as compared to CE. Electrospun gelatin nanofiber containing CE also showed the capacity of the release of bioactive ingredients possessing anti-oxidant properties and, therefore, it could potentially be used for face masks.
Study on the Test and Visualization of Change in Structures Associated with the Occurrence of Non-Stationary of Long-Term Time Series Data Based on Unit Root Test

Structural change of time series means that the distribution of observations is relatively stable in the period of constituting the entire time series data, but shows a sudden change of the distribution characteristic at a specific time point. Within a non-stationary long-term time series, it is important to determine in a timely manner whether the change in short-term trends is transient or structurally changed. This is because it is necessary to always detect the change of the time series trend and to take appropriate measures to cope with the change. In this paper, we propose a method for decision makers to easily grasp the structural changes of time series by visualizing the test results based on the unit root test. Particularly, it is possible to grasp the short-term structural changes even in the long-term time series through the method of dividing the time series and testing it.
Time-delay optimal control of a fed-batch production involving multiple feeds

In this paper, we consider time-delay optimal control of 1, 3-propan-ediol (1, 3-PD) fed-batch production involving multiple feeds. First, we propose a nonlinear time-delay system involving feeds of glycerol and alkali to formulate the production process. Then, taking the feeding rates of glycerol and alkali as well as the terminal time of process as the controls, we present a time-delay optimal control model subject to control and state constraints to maximize 1, 3-PD productivity. By a time-scaling transformation, we convert the optimal control problem into an equivalent problem with fixed terminal time. Furthermore, by applying control parameterization and constraint transcription techniques, we approximate the equivalent problem by a sequence of finite-dimensional optimization problems. An improved particle swarm optimization algorithm is developed to solve the resulting optimization problems. Finally, numerical results show that 1, 3-PD productivity increases considerably using the obtained optimal control strategy.
Quantum Machine Learning Tensor Network States

Tensor network algorithms seek to minimize correlations to compress the classical data representing quantum states. Tensor network algorithms and similar tools—called tensor network methods—form the backbone of modern numerical methods used to simulate many-body physics and have a further range of applications in machine learning. Finding and contracting tensor network states is a computational task, which may be accelerated by quantum computing. We present a quantum algorithm that returns a classical description of a rank-r tensor network state satisfying an area law and approximating an eigenvector given black-box access to a unitary matrix. Our work creates a bridge between several contemporary approaches, including tensor networks, the variational quantum eigensolver (VQE), quantum approximate optimization algorithm (QAOA), and quantum computation.
Orthogonality of fluxes in general nonlinear reaction networks

We consider the chemical reaction networks and study currents in these systems. Reviewing recent decomposition of rate functionals from large deviation theory for Markov processes, we adapt these results for reaction networks. In particular, we state a suitable generalisation of orthogonality of forces in these systems, and derive an inequality that bounds the free energy loss and Fisher information by the rate functional.
Event-Triggered Mechanism Based Distributed Optimal Frequency Regulation of Power Grid

Considering the limitation of communication network, the event-triggered mechanism based distributed optimal frequency regulation is proposed, which can restore the frequency and retain the economic efficiency of power grid simultaneously under certain load disturbances. Compared with the traditional distributed optimal frequency regulation based on continuous or periodic sampled-data information transmission mechanism, the communication burden among the areas in power grid is reduced since two novel types of event-triggered mechanisms, which possess the information demand-transmission property, are constructed and introduced in the regulation method in this study. Moreover, Zeno behaviour is proved to be avoided in order to guarantee the availability of event-triggered mechanisms in practical power grid. The effectiveness of theoretical result of this study is verified by the simulation study.
Discrete Layer Jamming for Variable Stiffness Co-Robot Arms

Continuous layer jamming is an effective tunable stiffness mechanism that utilizes vacuum to vary friction between laminates enclosed in a membrane. In this paper, we present a discrete layer jamming mechanism that is composed of a multilayered beam and multiple variable pressure clamps placed discretely along the beam; system stiffness can be varied by changing the pressure applied by the clamps. In comparison to continuous layer jamming, discrete layer jamming is simpler as it can be implemented with dynamic variable pressure actuators for faster control, better portability, and no sealing issues due to no need for an air supply. Design and experiments show that discrete layer jamming can be used for a variable stiffness co-robot arm. The concept is validated by quasi-static cantilever bending experiments. The measurements show that clamping 10% of the beam area with two clamps increases the bending stiffness by around 17 times when increasing the clamping pressure from 0 to 3 MPa. Computational case studies using finite element analysis for the five key parameters are presented, including clamp location, clamp width, number of laminates, friction coefficient, and number of clamps. Clamp location, number of clamps, and number of laminates are found to be most useful for optimizing a discrete layer jamming design. Actuation requirements for a variable pressure clamp are presented based on results from laminate beam compression tests.
Eight-wavelength receiver optical subassembly based on silica hybrid integrated technology

Abstract. A receiver optical subassembly (ROSA) based on hybrid integrated technology is designed and fabricated. It consists of an 8-channel arrayed waveguide grating (AWG) with 2% refractive index difference, two 4-channel positive intrinsic-negative photodetector arrays, and two 4-channel transimpedance amplifier arrays. A flat-top optical spectrum was observed because the output waveguides have a multimode structure, and the average 1-dB bandwidth of AWG channels is 2.8 nm. The insertion loss of all channels is between −1.8 and −2.9 dB, and the cross talk between adjacent channel is less than −20 dB. The ROSA shows a maximum responsivity of 0.4 A / W and 3-dB bandwidth of more than 22 GHz for four channels, which can meet the data transmission rate of 25 Gb / s. In the future, we will improve the fabrication process to achieve a transmission rate of 8 × 25 Gb / s.
A Proof of the Hyperplane Conjecture for a Large Class of Probability Density Functions.

For log-concave probability density functions fulfilling certain regularity conditions we present a proof of the famous hyperplane conjecture, also known as slicing problem, in convex geometry originally stated by J. Bourgain. The proof is based on an entropic formulation of the hyperplane conjecture given by Bobkov and Madiman and uses a recent result on bounding the Kullback-Leibler divergence by the Wasserstein distance given by Polyanskiy and Wu. Moreover, as a related result we present a lower bound on the differential entropy rate of a specific class of stationary processes.