Miracle-dz/UniFAR-FTUs huggingface dataset:
Separation of Migration and Tomography Modes of Full‐Waveform Inversion in the Plane Wave Domain

Full‐waveform inversion (FWI) includes both migration and tomography modes. The migration mode acts like a nonlinear least squares migration to map model interfaces with reflections, while the tomography mode behaves as tomography to build a background velocity model. The migration mode is the main response of inverting reflections, while the tomography mode exists in response to inverting both the reflections and refractions. To emphasize one of the two modes in FWI, especially for inverting reflections, the separation of the two modes in the gradient of FWI is required. Here we present a new method to achieve this separation with an angle‐dependent filtering technique in the plane wave domain. We first transform the source and residual wavefields into the plane wave domain with the Fourier transform and then decompose them into the migration and tomography components using the opening angles between the transformed source and residual plane waves. The opening angles close to 180° contribute to the tomography component, while the others correspond to the migration component. We find that this approach is very effective and robust even when the medium is relatively complicated with strong lateral heterogeneities, highly dipping reflectors, and strong anisotropy. This is well demonstrated by theoretical analysis and numerical tests with a synthetic data set and a field data set.
Statistics and Data Analysis in Geology.

From the Publisher: This thoroughly revised edition presents important methods in the quantitative analysis of geologic data. Retains the basic arrangement of the previous edition but expands sections on probability, nonparametric statistics, and Fourier analysis. Contains revised coverage of eigenvalues and eigenvectors, and new coverage of data analysis methods, such as the semivariogram and the process of kriging.
P‐10.1: Transfer Process of Micro‐LED Using Laser

Micro-LED display technology has the potential to become the next generation of display technology due to its advantages such as high brightness and self-illumination. Currently, micro-LED display technology still faces several important issues, including full color display and integration. In order to realize the display function, the micro-LED needs to be integrated into the drive circuit, which can be achieved through monolithic integration and massive transfer. Laser plays an important role in micro-LED transfer technology. In this work, laser is used to peel off the sapphire substrate, allowing an array of individual micro-LED devices to be transferred onto the blue film.
Accuracy Enhancement in Machine Learning Approach for Cloud Application

The emphasis of the current research is on improving accuracy during cloud machine learning operations. Conversations or networks may use machine learning instead of building and maintaining their own computer systems. A long-term ecosystem where social network members may exchange resources is presently being built by AI and social. Data storage, machine learning, and social media are all possible applications for deep learning. Businesses may improve their analytics by using this method. Because of the openness of social media, people may freely and intelligently share their personal information utilizing machine learning. Peer-to-peer is a better term. Using social networks and other forms of peer-to-peer communication, the identities of users are verified. The accuracy and performance of past studies have been shown to be problematic, thus the suggested study will present a fresh way to providing a better answer.
P‐1.6: Design of High Charge Gain Oxide TFTs Based Active Pixel Sensing Circuit

Dynamic X‐ray detecting for large area medical imaging requires high‐gain and stable Active Pixel Sensor (APS) circuit integrated with Thin Film Transistors (TFTs). In this paper, the APS circuit using oxide TFTs is studied based on the small‐signal model, and the charge gain and effects of threshold voltage shift (ΔVth) are investigated. Detailed SPICE simulations show the charge gain of the APS circuit of the oxide TFTs is 234 × of that of the conventional a‐Si:H TFT PPS circuit.
Memory scheduling robust H ∞ filter-based fault detection for discrete-time polytopic uncertain systems over fading channels

A novel memory scheduling robust H ∞ fault detection filter (FDF) is proposed for a class of discrete-time polytopic uncertain systems with fading channel communication networks. The main merit of this filter-based fault detection method is that it can significantly improve the robustness of FDF to attenuate influences from external disturbance, channel fading and model uncertainty on fault detection accuracy. Designing such FDF involves three main stages. First of all, a memory scheduling FDF structure is proposed based on the utilisation of weighted historical filter's states over interval instants, and a residual error system is formulated based on time partition and state augmented approaches. Then, the parameter-dependent Lyapunov method is further utilised to analyse the stochastic stability of the residual error system with the help of Finsler equivalent transformation. In the following, a two-stage optimisation algorithm combined with scalar parameters method is constructed to design memory scheduling FDF in a less conservative linear matrix inequality manner. Finally, a random numerical verification with 300 test systems and a case study of an industrial continuous-stirred tank reactor are exploited to show the effectiveness of obtained results.
A Bayesian approach to modeling 2D gravity data using polygons

ABSTRACTWe apply a Bayesian Markov chain Monte Carlo formalism to the gravity inversion of a single localized 2D subsurface object. The object is modeled as a polygon described by five parameters: the number of vertices, a density contrast, a shape-limiting factor, and the width and depth of an encompassing container. We first constrain these parameters with an interactive forward model and explicit geologic information. Then, we generate an approximate probability distribution of polygons for a given set of parameter values. From these, we determine statistical distributions such as the variance between the observed and model fields, the area, the center of area, and the occupancy probability (the probability that a spatial point lies within the subsurface object). We introduce replica exchange to mitigate trapping in local optima and to compute model probabilities and their uncertainties. We apply our techniques to synthetic data sets and a natural data set collected across the Rio Grande Gorge Bridge i.
Design of optimal control strategies for a supply chain with competing manufacturers under consignment contract

ABSTRACT In this paper, we discuss the effects of competition among the manufacturers on both the equilibrium strategies and the performance of supply chain under consignment contract based an optimal control theory. The retailer is responsible for the improvement of store-assistance to reduce consumer returns, and two manufacturers sell their products to end customers through the retailer and control the retail price. The aim of this paper is to derive and compare the equilibrium strategies under the different game environments. Accordingly, it is illustrated that the cooperation between retailer and manufactures can lead to a higher retail prices and the store-assistance service investment, moreover, a higher competition also could result in a higher store-assistance service investment. Furthermore, the supply chain in the non-cooperative environment can be coordinated by designing a modified cost-sharing contract, where all members can benefit from this coordination. Finally, numerical simulations are presented to illustrate the impact from the competition among the manufacturers on the profit and contract of supply chain.
A Millimetre Wave Embroidered Antennas

WLAN and Body Area Networks(BAN) are rapidly advancing as high data rate wireless commu- nication systems using Ulta Wide Band(UWB) spectrum. The unlicensed UWB spectrum o�ers 7 GHz wide bandwidth which ranges over 57 to 64 GHz. In this UWB communication systems Antenna design plays a crucial role for signal transmission and reception. However Antenna de- sign at UWB spectrum is more challenging than narrow band design Beam forming Antenna arrays play an important role at these frequencies. In this work A novel embroidery type dipole antennas and dipole arrays are proposed for Body area networks. The proposed antennas are designed and analyzed using High Frequency Structure Simulator(HFSS).
Broadband dual‐polarized lens antenna based on multimode Huygens’ surfaces

In this article, a dual‐polarized lens antenna system based on isotropic Huygens’ surfaces is proposed for 12 GHz applications. The surface lens is composed of subwavelength metallic patches etched on a 2‐layer dielectric substrate, which can realize high transmission efficiency and large phase shift (covering 0°–360°) over a wide bandwidth (11.0–13.0 GHz). The multimode resonances in the unit cell are detailed analyzed. The feed antenna at the focal point of the lens is a broadband dual‐polarized microstrip antenna. Both the simulated and measured results demonstrate that the dual‐polarized lens antenna system can realize the input ports isolation of more than 25 dB, and the gain of more than 17.0 dB.
Emerging innovations and advancements in the field of musculoskeletal oncology

Orthopaedic oncology has evolved dramatically as a discipline over the past 50 years. 1 – 4 With the advent of subspecialty fellowship training and transdisciplinary collaboration, our field has pushed the intellectual boundaries on several academic fronts, some of which we will highlight in this special edition of JSO. Broadly, we have chosen to focus on (1) outcomes, disparities and quality of life; (2) surgical management and technological developments; and (3) nonsurgical advancements. These areas are helping to redefine the standard of care. We hope the reader will enjoy this update on these salient, dynamic aspects of orthopaedic oncology
Learning to map sentences to logical form

One of the classical goals of research in artificial intelligence is to construct systems that automatically recover the meaning of natural language text. Machine learning methods hold significant potential for addressing many of the challenges involved with these systems. This book describes a series of new techniques for learning to map sentences to logical form --- lambda-calculus representations of their meanings.
The Analytical Solution for the Black-Scholes Equation with Two Assets in the Liouville-Caputo Fractional Derivative Sense

It is well known that the Black-Scholes model is used to establish the behavior of the option pricing in the financial market. In this paper, we propose the modified version of Black-Scholes model with two assets based on the Liouville-Caputo fractional derivative. The analytical solution of the proposed model is investigated by the Laplace transform homotopy perturbation method.
ATLASGAL-selected massive clumps in the inner Galaxy III. Dust Continuum Characterization of an Evolutionary Sample

The ATLASGAL survey provides an ideal basis for detailed studies of large numbers of massive star forming clumps covering the whole range of evolutionary stages. The ATLASGAL Top100 is a sample of clumps selected from their infrared and radio properties to be representative for the whole range of evolutionary stages. The ATLASGAL Top100 sources are the focus of a number of detailed follow-up studies that will be presented in a series of papers. In the present work we use the dust continuum emission to constrain the physical properties of this sample and identify trends as a function of source evolution. We determine flux densities from mid-infrared to submm wavelength (8-870 micron) images and use these values to fit their spectral energy distributions (SEDs) and determine their dust temperature and flux. Combining these with recent distances from the literature including maser parallax measurements we determine clump masses, luminosities and column densities. We find trends for increasing temperature, luminosity and column density with the proposed evolution sequence, confirming that this sample is representative of different evolutionary stages of massive star formation. We show that most of the sample has the ability to form massive stars (including the most massive O-type stars) and that the majority is gravitationally unstable and hence likely to be collapsing. The highest column density ATLASGAL sources presented cover the whole range of evolutionary stages from the youngest to the most evolved high-mass star forming clumps. Their study provides a unique starting point for more in-depth research on massive star formation in four distinct evolutionary stages whose well defined physical parameters afford more detailed studies. As most of the sample is closer than 5 kpc, these sources are also ideal for follow-up observations with high spatial resolution.
ATLASGAL-selected massive clumps in the inner Galaxy. IV. Millimeter hydrogen recombination lines from associated H II regions

Aims: Observations of millimeter wavelength radio recombination lines (mm-RRLs) are used to search for H ii regions in an unbiased way that is complementary to many of the more traditional methods previously used (e.g., radio continuum, far-infrared colors, maser emission). The mm-RRLs can be used to derive physical properties of H ii regions and to provide velocity information of ionized gas. Methods: We carried out targeted mm-RRL observations (39 ≤ principal quantum number (n) ≤ 65 and Δn = 1, 2, 3, and 4, named Hnα, Hnβ, Hnγ, and Hnδ) using the IRAM 30 m and Mopra 22 m telescopes. In total, we observed 976 compact dust clumps selected from a catalog of ~10 000 sources identified by the APEX Telescope Large Area Survey of the Galaxy (ATLASGAL). The sample was selected to ensure a representative mix of star-forming and quiescent clumps such that a variety of different evolutionary stages is represented. Approximately half of the clumps are mid-infrared quiet while the other half are mid-infrared bright. Results: We detected Hnα mm-RRL emission toward 178 clumps; Hnβ, Hnγ, and Hnδ were also detected toward 65, 23, and 22 clumps, respectively. This is the largest sample of mm-RRLs detections published to date. Comparing the positions of these clumps with radio continuum surveys we identified compact radio counterparts for 134 clumps, confirming their association with known H ii regions. The nature of the other 44 detections is unclear, but 8 detections are thought to be potentially new H ii regions while the mm-RRL emission from the others may be due to contamination from nearby evolved H ii regions. Broad linewidths are seen toward nine clumps (linewidth > 40 km s-1) revealing significant turbulent motions within the ionized gas; in the past, such wide linewidths were found toward very compact and dense H ii regions. We find that the systemic velocity of the associated dense molecular gas, traced by H13CO+(1−0), is consistent with the mm-RRL velocities and confirms them as embedded H ii regions. We also find that the linewidth of the H13CO+(1−0) emission is significantly wider than those without mm-RRL detection, indicating a physical connection between the embedded H ii region and their natal environments. We also find a correlation between the integrated fluxes of the mm-RRLs and the 6 cm continuum flux densities of their radio counterparts (the correlation coefficient, ρ, is 0.70). By calculating the electron densities we find that the mm-RRL emission is associated with H ii regions with ne 0.03 pc. Conclusions: We detected mm-RRLs toward 178 clumps and identified eight new H ii region candidates. The broad mm-RRL from nine clumps may indicate that they arise in very young hyper-compact H ii regions. The mm-RRLs trace the radio continuum sources detected by high-resolution observations and their line parameters show associations with the embedded radio sources and their parental molecular clumps.
Troublesome Dependency Modeling: Causality, Inference, Statistical Learning

The modeling of dependencies lies at the heart of statistics and data science, but there remain some profound questions: how statistical inference in probabilistic terms is linked with causality; what modern causality models offer that is substantially different from the traditional dependency models like regression; if special causality theories deliver these promises or not; how all these models are related to statistical and machine learning techniques, and others. Or, more generally: if the causal picture of the world is a commonly accepted goal of any science, could the non-causal statistical models be of any use? If yes – in what sense? If not – why are they so widely used? The insufficient level of detail in discussions of these and similar problems creates a lot of confusion, especially now, when lauded terms like Data Mining, Big Data, Deep Learning and others appear even in the non-professional media. This article inspects the underlying logic of different approaches, directly or indirectly, related with causality. It shows that even established methods are vulnerable to small deviations from the ideal setting; that the leading approaches to statistical causality (SEM, DAG and potential outcomes theories) do not provide a coherent causality theory, and argues, that this theory is impossible on pure statistical grounds. It also discusses a new approach in which the concept of causality is replaced by the concept of dependent variable generation. Separation of the variables which generate the outcome from other variables is proposed.
7.1: Invited Paper: Visual Fatigue Reduction Using Binocular Near Eye DFD Display System

We built a new binocular near eye DFD display system. In order to display two virtual images at different viewing distances from the observer, which is necessary for DFD image, we employed time division driving of the LCD. Furthermore, using this DFD display system, visual fatigue was evaluated when observing 3D image by binocular near eye DFD and 3D image with only vergence. We suggested that 3D image by binocular near eye DFD causes less visual fatigue than 3D image with only vergence.
Prevention of acute chemotherapy-induced nausea and vomiting : the role of palonosetron emilio Bajetta

Correspondence: emilio Bajetta Medical Oncology Unit 2, Fondazione iRCCS “istituto Nazionale dei Tumori”, via venezian 1, 20133 Milan, italy Tel +39 02 23902500 Fax +39 02 23902149 email emilio.bajetta@istitutotumori.mi. it Abstract: Prevention of nausea and vomiting is the main goal of antiemetic treatment in cancer patients scheduled to receive chemotherapy. To prevent acute emesis, antiemetics should be administered just before chemotherapy and patients should be protected for up to 24 hours after chemotherapy initiation. The emetogenic potential of chemotherapeutic agents guides clinicians towards the most appropriate antiemetic prophylaxis. Current guidelines recommend the use of 5-HT 3 receptor antagonist (RA) either alone or in combination with dexamethasone and/or a neurokinin-1 RA both in the acute and delayed phases. The second-generation 5-HT 3 RA palonosetron exhibits a longer half-life and a higher binding affinity than older antagonists. Palonosetron has been approved by the FDA for the prevention of chemotherapy-induced nausea and vomiting (CINV) in patients scheduled to receive either moderately (MEC) or highly emetogenic chemotherapy (HEC) and for the prevention of delayed CINV in patients receiving MEC. The present review will discuss the role of palonosetron in the prevention of acute CINV.
The treatment landscape in thyroid cancer : a focus on cabozantinib

(unported, v3.0) License. The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. Permissions beyond the scope of the License are administered by Dove Medical Press Limited. Information on how to request permission may be found at: http://www.dovepress. com/permissions.php Cancer Management and Research 2015:7 265–278 Cancer Management and Research Dovepress
Coherent readout leads to quadratic noise reduction over adaptive readout in noisy quantum metrology

K. Micadei, ∗ D. A. Rowlands, † F. A. Pollock, ‡ L. C. Celeri, § R. M. Serra, ¶ and K. Modi ∗∗ Centro de Ciencias Naturais e Humanas, Universidade Federal do ABC, Rua Santa Adelia 166, 09210-170, Santo Andre, Sao Paulo, Brazil Cavendish Laboratory, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, United Kingdom Department of Physics, University of Oxford, Clarendon Laboratory, Oxford, OX1 3PU, United Kingdom Instituto de Fisica, Universidade Federal de Goias, 74.001-970, Goiânia, Goias, Brazil School of Physics, Monash University, Victoria 3800, Australia
Finite-time stabilisation for Markov jump systems with Gaussian transition probabilities

The problems of finite-time analysis and design for a class of Markov jump systems with Gaussian transition probabilities (TPs) are investigated in this study. Gaussian TP density function is introduced to quantise the stochastic uncertain information of TPs. Mode-dependent and variation-dependent controller is designed to make the resulting closed-loop systems finite-time bounded and finite-time stabilisable for all admissible unknown external disturbances and random uncertain TPs. It is shown that the approach proposed in the paper dealing with TPs outperforms available ones in literature to date, which is also confirmed by a numerical example.
4.1: Cumulative Lifetime Enhancement Effect of Deuteration in Blue OLEDs

The cumulative effects of deuteration on the device lifetime of blue OLEDs with emitters based on common polycyclic aromatic hydrocarbons were studied using two anthracene‐based host materials. Their deuterated analogues with incremental deuterium substitutions exhibited similar EL efficiencies but progressively prolonged device lifetimes as a function of deuteration.
Market Size and Antidumping in Duopolistic Competition

The existence of Antidumping Policies provides an incentive for . rms to strategically moderate their behaviour so as to in‡uence the antidumping duty levied on them or their competitors. this paper examines the outcomes of such behaviour in a two country two . rm world where . rms are identical, except for location, and countries di¤er only in market size. We . nd that a range of equilibria are possible, depending on the di¤erence in market size. Acknowledgement 1 Financial support from the Leverhulme Trust under the Programme Grant F114/BF is gratefully acknowledged.
New upper bounds on the decomposability of planar graphs

It is known that a planar graph on n vertices has branch‐width/tree‐width bounded by $\alpha \sqrt {n}$. In many algorithmic applications, it is useful to have a small bound on the constant α. We give a proof of the best, so far, upper bound for the constant α. In particular, for the case of tree‐width, α < 3.182 and for the case of branch‐width, α < 2.122. Our proof is based on the planar separation theorem of Alon, Seymour, and Thomas and some min–max theorems of Robertson and Seymour from the graph minors series. We also discuss some algorithmic consequences of this result. © 2005 Wiley Periodicals, Inc. J Graph Theory