Miracle-dz/UniFAR-FTUs huggingface dataset:
Multicore Fiber-Enabled Stable Millimeter-Wave Local Oscillator Phase Dissemination Trunk Network

In this paper, we propose and demonstrate a stable millimeter-wave (mm-wave) local oscillator (LO) phase dissemination trunk network utilizing homogeneous multicore fibers (MCFs). The repetition frequency of an optical frequency comb acts as a probe signal to sense the delay variation by round trip transmission over the different cores of the MCF. The probe signal is then photomixed with its second harmonic to generate a phase-conjugated signal at the local site. At the remote site and an arbitrary access site, the forward phase-conjugated signal is photomixed with the tapped probe signal to obtain a photonic mm-wave signal, of which the phase is stabilized against the environmental perturbations. Simultaneously, the two-stage microwave photomixing implements optical frequency quadrupling of the microwave reference to enable the network to have flexible frequency dissemination capabilities. Herein, the backscattering or optical reflections in the bidirectional transmission can be mitigated through the parallel propagation paths offered by MCFs. A 36-GHz mm-wave LO signal is steadily disseminated through a 1.2-km seven-core fiber trunk network to multiple access sites. The relative frequency stability of around 3 × 10−17 level at 20 000 s averaging time can be realized in this stable phase dissemination network. The crosstalk and skew fluctuation issues of MCFs are also discussed. This scheme presents the application potential of MCFs in stable frequency transfer over fiber.
Space Debris Detection and Tracking with the Techniques of Cosmic Ray Physics

Space Debris (SD) consist of non-operational artificial objects orbiting around the Earth, which could possibly damage space vehicles, such as the International Space Station (ISS) or other manned spacecrafts. The vast majority of such objects are cm-sized, not catalogued and usually the tracking data are not precise enough. Here we present the feasibility study of SD detection and tracking with techniques usually employed in cosmic-ray physics. For this purpose, we have evaluated the possibility of using Mini-EUSO, a space-borne fluorescence telescope to be deployed on the ISS, to track SD illuminated by the Sun. By means of ESAF (EUSO Simulation and analysis Framework) simulation and by developing the trigger algorithms, we estimated the minimum size and maximum distances of detectable SD. We then studied the number of possible SD detections using an ESA software called MASTER (Meteoroid and SD Terrestrial Environment Reference). With the Mini-EUSO Engineering Model (Mini-EUSO EM), we performed some measurements to estimate the reflectance of the most common SD materials and to demonstrate the ability of Mini-EUSO to detect SD events. We also performed some tests in open-sky conditions, identifying and tracking fast-moving objects. In particular, the detection of a rocket body allowed us to confirm the simulation outcomes predictions and the expected performance of the detector.
The role of re-acceleration in the understanding of Cosmic-Ray direct and indirect data

In the last years, the improvement of performances of high-energy instruments provided a great amount of data relating to Cosmic-Rays. In particular, in the gamma-ray band, we had the first evidence of CR energization at Supernova Remnant shocks. Several models were developed in order to isolate the hadronic component from the leptonic one and to find the first direct proof of CR acceleration in those sources. Because of some spectral features in disagreement with the Diffusive Shock Acceleration theory, however, the role of pre-existing CR re-acceleration was taken into account, finding that not only its contribution is not negligible but also that it could explain some important characteristics of CR particle and gamma-ray spectra
A Novel Substrate-Integrated Coaxial Line Transverse Slot Array Antenna

In this communication, a novel transverse slot array with standing-wave excitation using substrate-integrated coaxial line (SICL) technique is proposed. The transverse series slots are arranged with a uniform spacing of one guided wavelength and centered over the inner strip of the SICL. A <inline-formula> <tex-math notation="LaTeX">$5\times 1$ </tex-math></inline-formula> element linear subarray is designed with suppressed sidelobe levels (SLLs). A tapering power divider is then adopted to feed eight such subarrays and finally a <inline-formula> <tex-math notation="LaTeX">$5\times 8\,\,2$ </tex-math></inline-formula>-D array is fabricated and tested for demonstration. A −10 dB impedance bandwidth (BW) from 33.87 to 35.10 GHz (3.57% at 34.5 GHz) is measured out with a peak broadside gain of 18.82 dBi. The E-plane and H-plane SLLs are −18.4 and −19.2 dB, respectively. Agreement between theory and experiment has been found to be good for both the linear array and the proposed antenna.
Multiplicidad y concentración de soluciones para una ecuación de Schrödinger no-lineal unidimensional con frecuencia crítica: caso polinomial

Este trabajo contiene resultados de multiplicidad y concentracion de soluciones de la ecuacion no-lineal de Schrodinger para el caso polinomial con frecuencia critica: e2 v''(x) − V (x)v (x) + |v (x)| p−1 v (x) = 0 en x ∈ R, (P e ) donde V : R → R es continuo, no-negativo, explota al infinito y Ω = {V = 0} = {0}. Nos enfocamos en el Caso Polinomial descrito por Byeon y Wang, donde V decrece polinomialmente conforme se acerca a Ω. Para α > 1 encontraremos un δα > 0 tal que el problema limite, cuando e → 0, es u''(x) − P (x)u (x) + |u (x)|p−1 u (x) = 0 en x ∈ (−δα , δα ), (P y ) donde P representa una generalizacion de un polinomio homogeneo de grado par y (−δα , δα ) es una vecindad que contiene a 0
Scalability in the Presence of Variability

Supercomputers are used to solve some of the world’s most computationally demanding problems. Exascale systems, to be comprised of over one million cores and capable of 10^18 floating point operations per second, will probably exist by the early 2020s, and will provide unprecedented computational power for parallel computing workloads. Unfortunately, while these machines hold tremendous promise and opportunity for applications in High Performance Computing (HPC), graph processing, and machine learning, it will be a major challenge to fully realize their potential, because to do so requires balanced execution across the entire system and its millions of processing elements. When different processors take different amounts of time to perform the same amount of work, performance imbalance arises, large portions of the system sit idle, and time and energy are wasted. Larger systems incorporate more processors and thus greater opportunity for imbalance to arise, as well as larger performance/energy penalties when it does. This phenomenon is referred to as performance variability and is the focus of this dissertation. In this dissertation, we explain how to design system software to mitigate variability on large scale parallel machines. Our approaches span (1) the design, implementation, and evaluation of a new high performance operating system to reduce some classes of performance variability, (2) a new performance evaluation framework to holistically characterize key features of variability on new and emerging architectures, and (3) a distributed modeling framework that derives predictions of how and where imbalance is manifesting in order to drive reactive operations such as load balancing and speed scaling. Collectively, these efforts provide a holistic set of tools to promote scalability through the mitigation of variability.
Solving Directly Second Order Initial Value Problems with Lucas Polynomial

Aims/ Objectives: This paper presents a one step hybrid numerical scheme with one o gridpoints for solving directly the general second order initial value problems.Study Design: Section one which is the introduction, give a brief about initial value problem.In the next section derivation of one step hybrid scheme is considered. Section Three providesthe analysis of the scheme, while numerical implementation of the scheme and conclusion are inSections four and ve respectively.Methodology: The scheme is developed using collocation and interpolation technique invokedon Lucas polynomial.Results: The proposed scheme is consistent, zero stable and of order four and can estimate theapproximate solution at both step and o step points simultaneously by using variable step size.Conclusion: Numerical results are given to show the eciency of the proposed scheme over someexisting schemes of same and higher order[ [1],[2], [3],[4], [5], [6]].
Spectra of Orders for k-Regular Graphs of Girth g

Abstract A (k, g)-graph is a k-regular graph of girth g. Given k ≥ 2 and g ≥ 3, infinitely many (k, g)-graphs of infinitely many orders are known to exist. Our goal, for given k and g, is the classification of all orders n for which a (k, g)-graph of order n exists; we choose to call the set of all such orders the spectrum of orders of (k, g)-graphs. The smallest of these orders (the first element in the spectrum) is the order of a (k, g)-cage; the (k, g)-graph of the smallest possible order. The exact value of this order is unknown for the majority of parameters (k, g). We determine the spectra of orders for (2, g), g ≥ 3, (k, 3), k ≥ 2, and (3, 5)-graphs, as well as the spectra of orders of some families of (k, 4)-graphs. In addition, we present methods for obtaining (k, g)-graphs that are larger then the smallest known (k, g)-graphs, but are smaller than (k, g)-graphs obtained by Sauer. Our constructions start from (k, g)-graphs that satisfy specific conditions derived in this paper and result in graphs of orders larger than the original graphs by one or two vertices. We present theorems describing ways to obtain ‘starter graphs’ whose orders fall in the gap between the well-known Moore bound and the constructive bound derived by Sauer and are the first members of an infinite sequence of graphs whose orders cover all admissible orders larger than those of the ‘starter graphs’.
Trees and spatial topology change in causal dynamical triangulations

Generalized causal dynamical triangulations (generalized CDT) is a model of two-dimensional quantum gravity in which a limited number of spatial topology changes is allowed to occur. We solve the model at the discretized level using bijections between quadrangulations and trees. In the continuum limit (scaling limit) the amplitudes are shown to agree with known formulas and explicit expressions are obtained for loop propagators and two-point functions. It is shown that from a combinatorial point of view generalized CDT can be viewed as the scaling limit of planar maps with a finite number of faces and we determine the distance function on this ensemble of planar maps. Finally, the relation with planar maps is used to illuminate the mysterious identity of certain continuum cylinder amplitudes.
Mapping of Radon (220Rn and 222Rn) Concentration Distribution in a Microclimate Condition Cellar Using Nuclear Track Methodology

This work presents the results of the Radon (220Rn and 222Rn) measurements made with 486 chips of CR-39 (Allyl Dyglicol Poly Carbonate) MASL? bared detectors, in a reticular mode distribution, inside of a cellar with average indoor radon concentration 862 ± 49 Bq/m3. The exposure time was 3 months, in microclimate condition of constant temperature, humidity, barometric pressure and no airflow. After these 3 months, all the detectors were chemically etched in KOH 6.25 M solution at 60°C ± 1°C for 18 hours, following a very well established protocol for indoor radon survey by the Dosimetry Applications Laboratory of the Physics Institute of the National Autonomous University of Mexico, and later read automatically by CADIS (Counting Automatically Digital Image System). The results show that each one of the nine measured planes is not homogeneous presenting important differences of indoor radon concentration values. Specifically, the Radon (220Rn and 222Rn) concentration levels vary for each measured point within the cellar. It is a very important observation to consider for the calculation of dose and radiological risk.
Transmission electron microscopy of the iron oxide core in ferritin proteins: current status and future directions

Ferritins are an important category of proteins that control the iron storage and release in humans and animals. It is well accepted that various diseases can be traced to ferritin protein abnormalities. In addition, these proteins can revolutionize the field of materials synthesis since they provide an excellent template to grow various nanomaterials with a near perfect size and control of chemistry. The ferritin proteins regulate iron ions by biomineralizing or demineralizing various forms of iron oxides. The inner architecture and the microenvironment of ferritin proteins facilitate iron oxide nucleation, enabling the formation of labile ferrihydrite in place of more common iron oxides such as hematite, magnetite, and goethite. The complexity of iron oxide structures and their various stable phases require advanced characterization techniques such as transmission electron microscopy (TEM). This review article summarizes the previous discoveries made by conventional TEM imaging and analytical spectroscopy methods such as electron energy loss spectroscopy and x-ray energy dispersive spectroscopy. With recent innovations in aberration-corrected TEM, monochromators of electron beams, ultrafast imaging and spectroscopy detectors, integration of Raman within TEM, and 3D tomography techniques, it is now feasible to explore biomineralization within ferritin proteins with an outlook to fully elucidate the signature of diseases that control the nucleation, growth, and stability of iron oxide cores within ferritin proteins.
A Case Study of Airmass Transformation and Cloud Formation at Summit, Greenland

This study investigates cloud formation and transitions in cloud types at Summit, Greenland, during 16–22 September 2010, when a warm, moist air mass was advected to Greenland from lower latitudes. During this period there was a sharp transition between high ice clouds and the formation of a lower stratocumulus deck at Summit. A regional mesoscale model is used to investigate the air masses that form these cloud systems. It is found that the high ice clouds form in originally warm, moist air masses that radiatively cool while being transported to Summit. A sensitivity study removing high ice clouds demonstrates that the primary impact of these clouds at Summit is to reduce cloud liquid water embedded within the ice cloud and water vapor in the boundary layer due to vapor deposition on snow. The mixed-phase stratocumulus clouds form at the base of cold, dry air masses advected from the northwest above 4 km. The net surface radiative fluxes during the stratocumulus period are at least 20 W m−2 larger than during the ice cloud period, indicating that, in seasons other than summer, cold, dry air masses advected to Summit above the boundary layer may radiatively warm the top of the Greenland Ice Sheet more effectively than warm, moist air masses advected from lower latitudes.
When Human Service Meets Crowdsourcing: Emerging in Human Service Collaboration

With the sweeping progress of service computing technology and crowdsourcing, individuals are offering their capability as human services online. Companies are orchestrating human services for complex problem-solving, resulting in the rapid growth of human service ecosystems nowadays. Considering the unique characteristics of human services, like capability growth and human-involving collaboration, it is essential to understand the patterns of the development and collaboration among human services. Therefore, this paper proposes a three-layer time-aware heterogeneous network model to quantify the evolution in the human service ecosystem. Based on the model, an exploratory empirical study is presented to uncover how human service providers and consumers develop their capability in service provision and orchestration, as well as how human services collaborate with each other over time. Insights from the emerging patterns open a gateway for further research to facilitate human service adoption, including human service composition recommendation, human skill expansion suggestion, and systematic mechanism design.
DESIGN AND DEVELOPMENT OF RECESSED GROUND MICROSTRIP LINE LOW PASS FILTERS

The design of conventional stepped-impedance microstrip line low pass filter (LPF) is based on high (ZH) to low impedance (ZL) ratio. The width of ZH line, for ZH > 100Ω, becomes critical and challenging, especially on high dielectric constant substrates. A concept of air-filled recessed ground plane below a microstrip line is introduced in this paper. The effect of dimensions of recessed ground on characteristic impedance, attenuation, and propagation constant of a microstrip line are first studied. This simple approach is utilized to design the ZH line of stepped-impedance microstrip line LPFs. Prototypes of recessed ground stepped-impedance microstrip line LPFs with ZH/ZL (keeping ZL constant as 20 Ω) ratio in the range 6 to 10 are designed and developed on Rogers 4350B of height 0.508 mm with εr = 3.66 at 3GHz. For LPF with ZH/ZL = 10, the measured 3-dB cutoff frequency (fc) is achieved at 3.12 GHz with return loss (RL) > 12 dB and insertion loss (IL) < 0.28 dB in its passband whereas the stopband attenuation (SBA) is better than 38 dB. In comparison to recessed ground LPF, the simulated results of conventional LPF with ZH/ZL = 10 (critical width of ZH line =) are as follows RL > 10 dB and IL < 1.07 dB in passband at fc = 3 GHz. The size of recessed ground LPF is reduced by 25%, when ZH/ZL is increased to 10 from 6. The approach of recessed ground microstrip line avoids the fabrication issues, reduces size, and improves the performance of LPF, which in turns confirms the advantages of recessed ground over conventional microstrip line.
Spontaneous Emission in Nanophotonics

In this thesis, we present semi-analytic theories of radiation noise in nanophotonic devices, which utilize new numerical software for solving light equations in nano-structures, combined with thermodynamic tools for including radiation noise. The first part of the thesis focuses on noise in lasers. Our formulation produces a formula for the width of the central spectral peaks (“the linewidth”) in singleand multimode lasers, as well as formulas for the sidepeaks, which arise due to relaxation oscillations. Our formulas contain almost all previously known effects and find new nonlinear and multimode corrections in complicated nanophotonic structures. We verify our theory with bruteforce simulations of the semiclassical Maxwell–Bloch equations, augmented with random sources representing radiation noise. Moreover, we extend our theory of laser noise and include amplified spontaneous emission (ASE) near the lasing threshold. In the second part of the thesis, we discuss spontaneous emission at exceptional points (EPs)—exotic degeneracies in non-Hermitian systems. Our theory extends beyond spontaneous emission to any light–matter interaction described by the local density of states (e.g., absorption, thermal emission, and nonlinear frequency conversion). Whereas traditional spontaneous-emission theories imply infinite enhancement factors at EPs, we derive finite bounds on the enhancement, proving maximum enhancement of 4 in passive systems with second-order EPs and significantly larger enhancements (exceeding 400×) in gain-aided and higher-order EP systems. Finally, we demonstrate an application of our theory to higher-harmonic generation in nonlinear media with EPs.
Multi-view clustering: A survey

In the big data era, the data are generated from different sources or observed from different views. These data are referred to as multi-view data. Unleashing the power of knowledge in multi-view data is very important in big data mining and analysis. This calls for advanced techniques that consider the diversity of different views, while fusing these data. Multi-view Clustering (MvC) has attracted increasing attention in recent years by aiming to exploit complementary and consensus information across multiple views. This paper summarizes a large number of multi-view clustering algorithms, provides a taxonomy according to the mechanisms and principles involved, and classifies these algorithms into five categories, namely, co-training style algorithms, multi-kernel learning, multiview graph clustering, multi-view subspace clustering, and multi-task multi-view clustering. Therein, multi-view graph clustering is further categorized as graph-based, network-based, and spectral-based methods. Multi-view subspace clustering is further divided into subspace learning-based, and non-negative matrix factorization-based methods. This paper does not only introduce the mechanisms for each category of methods, but also gives a few examples for how these techniques are used. In addition, it lists some publically available multi-view datasets. Overall, this paper serves as an introductory text and survey for multi-view clustering.
PENERAPAN ASSET PRICING MODEL (CAPM) TERHADAP KEPUTUSAN INVESTASI PADA INDEKS LQ 45 PERIODE 2012-2016

Adapun tujuan dari penelitian ini adalah untuk mendeskripsikan penerapan CAPM (capital asset pricing model) dalam pemilihan saham yang tepat untuk dilakukan investasi. Sampel yang digunakan yaitu perusahaan-perusahaan yang termasuk dalam Indeks LQ 45, yakni perusahaan berkapitalisasi besar dan paling liquid selama periode tahun 2012-2016 yang berjumlah 45 perusahaan namun yang digunakan sebagai sampel hanya 20 perusahaan, adapun hal ini dipengaruhi oleh teknik pengambilan sampel yang dilakukan dengan cara purposive sampling. Adapun teknik-teknik pengumpulan data yang digunakan untuk mendukung pelaksanaan penelitian ini yaitu dengan cara Penelitian Kepustakaan (Library Research) dan Riset Internet (Online Research). Kriteria pemilihan saham dalam penelitian ini adalah memilih saham yang efisien, dimana tingkat pengembalian individu (Ri) lebih besar dari tingkat pengembalian yang diharapkan [E(Ri)]. Hasil dari penelitian ini adalah antara beta dengan expected return terjadi hubungan yang berbanding terbalik, dimana jika nilai beta tinggi maka tingkat pengembalian saham (return) akan rendah, begitu sebaliknya. Dari 20 perusahaan yang diteliti, 10 perusahaan berada pada kondisi efisien dan 10 perusahaan berada pada kondisi tidak efisien. Keputusan investasi yang harus diambil ketika saham dalam kondisi efisien adalah membeli saham tersebut, namun jika kondisi tidak efisien maka tindakan yang di ambil adalah sebaliknya, yakni menjual saham tersebut.Kata kunci : Capital Asset Pricing Model ,Beta, saham efisien.