Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantum Simulation of Triangular, Honeycomb and Kagome Crystal Structures using Ultracold Atoms in Lattices of Laser Light

Author(s): Thomas, Claire K | Advisor(s): Stamper-Kurn, Dan M. | Abstract: Ultracold atomic gases trapped at the interference of coherent beams of light constitute an artificial material. This optical lattice material may be used for controlled quantum simulations of condensed matter theories. The bulk of this dissertation concerns the construction and calibration of an optical superlattice that can form the triangular, honeycomb and kagome crystal structures. The properties and geometry of this artificial material may be dynamically changed, allowing for the experiments discussed in this thesis that would be impossible with real materials. The use of ultracold atoms in optical lattices for quantitative tests is challenging because of the novelty of many of the techniques in the field, and because of the myriad experimental differences between these artificial materials and true materials. This thesis reports the development of a method to characterize optical lattice potentials using matter-wave diffraction. We observe an enhancement of inversion asymmetry in matter-wave diffraction from a honeycomb lattice, which we explain using a time-independent perturbative treatment of the single-particle band structure of the lattice. Our experiment also provides new insight into a commonly used detection technique. This thesis culminates in the development and experimental realization of a quantitative test of a condensed-matter theory. The test is insensitive to the experimental differences between artificial materials and real materials. We focus on a prediction from a mean-field treatment of the Bose-Hubbard model that concerns the difference in behavior of itinerant particles on lattices that are identical but for their geometry. Using the tunable geometry of our quantum simulator, we measure the properties of ultracold atomic gases trapped in the triangular and kagome lattices under otherwise identical conditions and find that they are consistent with the mean-field scaling prediction.
A community detection algorithm based on structural similarity

In order to further improve the efficiency and accuracy of community detection algorithm, a new algorithm named SSTCA (the community detection algorithm based on structural similarity with threshold) is proposed. In this algorithm, the structural similarities are taken as the weights of edges, and the threshold k is considered to remove multiple edges whose weights are less than the threshold, and improve the computational efficiency. Tests were done on the Zachary’s network, Dolphins’ social network and Football dataset by the proposed algorithm, and compared with GN and SSNCA algorithm. The results show that the new algorithm is superior to other algorithms in accuracy for the dense networks and the operating efficiency is improved obviously.
Tinnitus and Transcranial Magnetic Stimulation

Tinnitus is a frequent disorder that is very difﬁcult to treat. Both functional imaging studies in patients and electrophysiological studies in animals suggest that hyperactivity in the central auditory system due to increased synchronicity may cause tinnitus. Targeted modulation of tinnitus-related cortical activity has been proposed as a promising new treatment. Repetitive transcranial magnetic stimulation (rTMS) is a noninvasive method that can focally modulate cortical activity. This technique has been used to diagnose and treat tinnitus. Single sessions of high-frequency rTMS over the temporal cortex have been used to suppress tinnitus transiently and could become a useful predictor for treatment outcome of epidural stimulation. Another approach uses rTMS as a treatment for tinnitus by applying repeated sessions of low-frequency rTMS to induce a lasting reduction of excitability in the auditory cortex. Beneﬁcial effects of treatment have been consistently demonstrated in several controlled studies. However results are characterized by high interindividual variability and only moderate effect sizes. Convincing evidence indicates that rTMS represents a promising tool for diagnosis and treatment of tinnitus. Further development of this technique will depend on a more detailed understanding of the neurobiological effects that mediate the clinical effects of TMS.
Yttrium-90 Radioembolization of Hepatocellular Carcinoma and Metastatic Disease to the Liver

Yttrium-90 ( 90 Y) radioembolization is a catheter-based therapy that delivers internal radiation to hepatic tumors in the form of microspheres. 90 Y can be delivered to the hepatic tumor as either a constituent of a glass microsphere, TheraSphere 1 , or as a biocompatible resin-based microsphere, SIR-Spheres 1 . Once embedded within the tumor microcirculation, these microspheres emit b -radiation at therapeutic levels. While the technical aspects of radioembolization are quite complex, the collective clinical experience presented in the literature supports the use of 90 Y radioembolization for unresectable hepatic malignancies.
Complications of Radiofrequency Ablation of Hepatic, Pulmonary, and Renal Neoplasms

Percutaneous thermal ablation has emerged as a viable technique for treatment of numerous solid organ malignancies. As the number of these procedures increases, so do the complications that are seen. Most common complications are generally related to bleeding from the target organ during or after the procedure and from thermal injury to adjacent structures. The nature of these injuries depends on the particular organ being treated, therefore it it best to categorize them this way. We will review the more common complications seen following the ablation of tumors in the liver, kidney, and lung, discuss the clinical presentation associated with each, and suggest precautions to help avoid them in the future. Understanding the potential risks associated with this procedure is critical for treatment planning and fundamental for performing these procedures safely
Visual Tracking Using Kernelized Correlation Filter with Conditional Switching to Median Flow Tracker

The correlation filters (CF) have been extensively used in object tracking due to its robustness and attractive computational speed. However, the CF are more sensitive to object deformation because they are trained using the spatial features. Besides, updating the filter template with slightly drifted or occluded samples increase the probability of tracking failure. In contrast, the median flow tracker is complementary to the correlation techniques and is fast, robust to occlusion and deformation, but sensitive to illumination variation. In this paper, we exploit the advantage of correlation and optical flow based trackers to achieve drift free tracking. Hence, we apply the CF-based tracker to track an object and switch to the modified median flow tracker during the drift conditions. The combined model is optimized to cope up with the fast appearance change and recover from drifting. We also propose an adaptive feature selection process to select the most discriminative feature/features among colour name and histogram of oriented gradient features based on object separation from the background in intensity and colour channels. The proposed tracker updates the filter template dynamically, depending on the appearance of an object using an adaptive learning rate to track the object irrespective of occlusion, motion blur, and deformation. The scale of object is estimated using Lucas-Kanade homography method. The experiments are carried out using challenging video sequences from a standard object tracking benchmark dataset and show the best performance among the state-of-the-art techniques.
Collpad 2, un scaffold colaborativo : su impacto en el aprendizaje de geometría

x 0 INTRODUCCIÓN . 1 1 Orquestar los recursos de una clase: ¿Es más importante que introducir tecnología? 4 1.1 Abstract . 4 1.2 Introducción . 5 1.3 Metodología . 7 1.3. 1 Muestra y diseño de intervención . 7 1.3. 2 Contenidos curriculares . 8 1.3. 3 Actividad Colaborativa apoyada por soporte digital . 9 1.3. 4 Orquestación . 11 1.3. 5 Instrumentos . 12 1.4 Resultados . 13 1.5 Discusión y Conclusiones . 14 2 Modelo pedagógico Collpad y Collpad 2 . 16 2.1 Oportunidades sobre AAG . 16 2.2 Modelo CollPad en el 2009 . 18 2.3 Oportunidades a partir de la experiencia CollPad . 20 2.4 Componentes existentes . 23 2.4. 1 Condiciones para el aprendizaje colaborativo . 23 2.5 CollPad 2 . 29
Elastodynamic Green's function retrieval : theory and applications in exploration geophysics

The ability to synthesize recordings from surface data as if they had come from subsurface sources has allowed geophysicists to estimate subsurface properties. Either in the form of classical seismic migration which creates structural maps of the subsurface, to the more recent seismic interferometry which turns seismic sources into receivers and vice-versa, this ability has provided a rich trove of methods with which to probe the Earth’s interior. While powerful, both of these techniques suffer from well-known issues. Standardmigration requires data without multiply-scattered waves (multiples). Seismic interferometry, on the other hand, can be applied to full recorded data (containing multiples and other wave types), but requires sources (receivers) to be physically placed at the location from (to) one wishes to estimate responses. The Marchenko method, developed recently for the seismic setting, circumvents both of these restrictions: it creates responses from virtual subsurface sources as if measured at the surface. It requires only single-sided surface data, and a smooth estimate of the subsurface velocities. Initially developed for acoustic media, this thesis contributes the first elastic formulation of the Marchenko method, providing a more suitable setting for applications for the solid Earth. In another development, this thesis shows how the obtained virtual recordings may be used for migration. With these two contributions, this thesis shows that for elastic surface seismic data, the main drawbacks of migration and interferometry can be overcome using the Marchenko method: multiples do not harm migrated images, and sources (receivers) need not be physically placed in the medium for their responses to be accessible. In addition to the above methods, generating images devoid of multiple-related artifacts can be achieved in several other different ways. Two approaches to this are the use of a post-imaging filter, and attenuation of internal multiples in the data itself. This thesis contributes one new method using each of these approaches. First, a form of Marchenko imaging is known to create spurious reflectors, as also occurs in standard reverse-time migration (rtm). However, these artifacts usually appear at different locations in rtm and this form of Marchenko imaging. Using this insight, this thesis presents a way to combine pairs of seismic images in such a way that their differences (e. g. artifacts) are attenuated, while similarities (e. g.
Recycling of laser and plasma radiation energy for enhancement of extreme ultraviolet sources for nanolithography

We have developed comprehensive integrated models for detailed simulation of laser-produced plasma (LPP) and laser/target interaction, with potential recycling of the escaping laser and out-of-band plasma radiation. Recycling, i.e., returning the escaping laser and plasma radiation to the extreme ultraviolet (EUV) generation region using retroreflective mirrors, has the potential of increasing the EUV conversion efficiency (CE) by up to 60% according to our simulations. This would result in significantly reduced power consumption and/or increased EUV output. Based on our recently developed models, our High Energy Interaction with General Heterogeneous Target Systems (HEIGHTS) computer simulation package was upgraded for LPP devices to include various radiation recycling regimes and to estimate the potential CE enhancement. The upgraded HEIGHTS was used to study recycling of both laser and plasma-generated radiation and to predict possible gains in conversion efficiency compared to no-recycling LPP devices.
Atom-light interfaces for quantum information processing

The emergence of quantum physics from the page to the lab and the world at large is an exciting development of recent years. The prospects of absolutely secure communication and efficient simulation of physical systems have spurred great human effort into understanding these possibilities and turning them into realities. Photons are the most easily manipulated quantum particles and are a promising candidate for implementing these technologies. Limitations of photons include the difficulty of keeping objects that move at the speed of light, and producing strong interactions between particles that do not normally interact. The work presented in this thesis is motivated by the possibility of overcoming these limitations. The ability to faithfully store and reproduce a quantum state is essential for many quantum information technologies. Quantum memories for light have been developed over the last two decades to provide this ability. The group at the Australian National University developed the gradient echo memory (GEM): A quantum state of light can be controllably stored and released from an atomic ensemble by the use of additional optical fields and magnetic field gradients. This scheme was previously shown to preserve the quantum characteristics of the light. We used the GEM scheme with a cold rubidium ensemble to create the first optical memory that simultaneously beat the no-cloning limit, a benchmark for many of the technologies relying on quantum memories, and the loss rate for a delay line composed of optical fibre. We also created an analogue to a pulsed optical resonator using GEM with a warm rubidium vapour. This was done by replacing the circulating optical field of a resonator with light stored in the memory, and replacing the coupling of light into and out of that circulating mode with storage and recall from the memory. The bandwidth and repetition rate of this resonator were rapidly tunable as they were controlled by external optical and magnetic fields. We worked on implementing GEM with strings of thousands of atoms strongly coupled to the evanescent field of an optical nanofibre. This raised new possibilities for creating a true random access memory that would allow a more flexible use of the multi-mode capacity of GEM. We developed the theory for a novel type of stationary light in the gradient echo memory. Our stationary light scheme relies on the destructive interference of counterpropagating optical fields throughout the memory. The optical intensity scales with optical depth, as with other forms of stationary light. However, as the destructive interference could be set up over a much greater distance, more of the optical depth is available for generating stationary light. Finally, we studied how a control-phase gate for single-photon optical states could be implemented using a nonlinear interaction with stationary light. The stationary light generated by one state modulates the phase of another state stored in the memory. The second state modifies the stationary light, also producing a back-action on the first state and generating the required cross-phase shift.
A Framework for Fast Evaluation of Fourier Series

This paper is about rapid evaluation of sums of the form Lt ate-L 211"lu at ar bitrary u. This include Fourier series as a special case, for example, of the form ~ a• e-L 2 7r{iul +mu 2 +nus). This paper presents a framework with detailed analy-L-d,m,n -t-,m,n sis from which a variety of rapid evaluation methods can be obtained that offer tradeoffs between accuracy, speed, and memory requirements. Such options will be valuable not only to different applications where accuracy requirements may vary; but also to one single applications where accuracy requirement may vary in the application's different parts or stages. Numerical experiments are performed to illustrate the framework's key ideas and capabilities
Modeling of surface roughness effects on Stokes flow in circular pipes

Fluid flow and pressure drop across a channel are significantly influenced by surface roughness on a channel wall. The present study investigates the effects of periodically structured surface roughness upon flow field and pressure drop in a circular pipe at low Reynolds numbers. The periodic roughness considered exhibits sinusoidal, triangular, and rectangular morphologies, with the relative roughness (i.e., ratio of the amplitude of surface roughness to hydraulic diameter of the pipe) no more than 0.2. Based upon a revised perturbation theory, a theoretical model is developed to quantify the effect of roughness on fully developed Stokes flow in the pipe. The ratio of static flow resistivity and the ratio of the Darcy friction factor between rough and smooth pipes are expressed in four-order approximate formulations, which are validated against numerical simulation results. The relative roughness and the wave number are identified as the two key parameters affecting the static flow resistivity and the Da.
Mechanical metamaterials: a state of the art

In this paper, we give a review of the state of the art in the study of mechanical metamaterials. The very attractive property of having a microstructure capable of determining exotic and specifically tailored macroscopic behaviour makes the study of metamaterials a field that is actually in expansion, from both a theoretical and a technological point of view. This work is divided into two sections, describing the phenomenological and theoretical aspects of metamaterials. We first give an overview of some existing metamaterials, such as pentamode materials, auxetic materials, materials with negative mechanical constitutive coefficients and materials with enhanced mechanical properties. We also focus on some emerging areas, such as origami. Then, we present some theoretical studies in the field of mechanical metamaterials, such as those related to first- and second-gradient theories.
Event‐triggered output feedback H∞ control for networked control systems

This paper investigates event‐triggered output feedback H∞ control for a networked control system. Transmitted through a network under an event‐triggered scheme, the sample outputs of the plant are used to drive the dynamical output feedback controller to generate a new control signal in the discrete‐time domain. The discrete‐time control signals are also transmitted through the network to drive the plant. As a result of two types of transmission delays, the controlled plant and the dynamical output feedback controller are driven by the discrete‐time outputs and control signals at different instants of time. An interval decomposition method is introduced to place the controlled plant and the output feedback controller into the same updated time interval but with updated signals at different instants. Based on a proper Lyapunov‐Krasovskii functional, sufficient conditions are derived to ensure H∞ performance for the controlled plant. Finally, numerical simulations are used to demonstrate the practical utility of the proposed method.
Atomic force microscopy with interferometric method for detection of the cantilever displacement and its application for low-temperature studies

ABSTRACT Specific features of the atomic force microscopes (AFM) with interferometric method of the cantilever displacement detections are considered in aspects of their applications for low temperature measurements in contact regimes. Brief comparison of interferometric detection with other methods of the cantilever displacement measurements is provided. A developed approach of Young's modulus determination for AFM with interferometric cantilever-detection system is presented. Experimental results obtained on the temperature dependence of elastic properties of the AFM cantilever are used for explanation of a weak temperature dependence of the ferroelectric domain dynamics in thin ferroelectric films, previously observed by piezoresponse force microscopy.
Asymptotic Distribution of Test Statistics: The Estimating Equation Approach and the Delta Method

The delta method that consists of a Taylor approximation can be used to determine the asymptotic variance and distribution of test statistics. In an alternative approach, the test statistic can be combined with some estimating equations in the M-estimation framework for the purpose of deriving its asymptotic variance and distribution. Pierce (1982) uses this alternative approach and shows how the nuisance parameters can be replaced by their efficient estimators in deriving the asymptotic variance and distribution of certain test statistics. In this article, we show how these approaches are related for test statistics that can be written as the sample average of data.
Wide-field imaging of cortical neuronal activity with red-shifted functional indicators during motor task execution

Genetically encoded calcium indicators (GECIs) can be used to monitor the intracellular concentration of free calcium in populations of neurons. GECIs with long emission wavelengths are particularly attractive for deep tissue microscopy in vivo, and have the additional advantage of avoiding spectral overlap with commonly used neuronal actuators such as channelrhodopsin. The aim of this work is to evaluate the performances of four red-shifted GECIs (jRCaMP1a, jRCaMP1b, jRGECO1a, jRGECO1b) using both ex vivo and in vivo experimental techniques. Cortical neurons were infected with adeno-associated virus (AAV) expressing one of the red GECI variants. First we characterized the transfection ex vivo in terms of extension and intensity of the indicator. Next, we monitored the neuronal activity over the right cortical hemisphere of a jRCaMP1a-transfected mouse during a goal-directed motor task. To this aim, we combined wide-field fluorescence microscopy with a robotic device for simultaneous recording of cortical neuronal activity, force applied and forelimb position during task execution. Our results show that jRCaMP1a has sufficient sensitivity to monitor in vivo neuronal activity simultaneously over multiple functional areas, and can be successfully used to perform longitudinal imaging sessions in awake mice.
A criterion for a finite union of intervals to be a self-similar set satisfying the open set condition

Let k 1 ,k 2 ,. ,k m ; λ 1 ,λ 2 ,. ,λ m − 1 be positive numbers. Let K ( k 1 ,k 2 ,.,k m ; λ 1 ,λ 2 ,.,λ m − 1 ) be the union of m closed intervals of lengths k 1 ,k 2 ,. ,k m and gap lengths λ 1 ,λ 2 , ··· ,λ m − 1 . In this paper, we will give a characterization over k 1 ,k 2 ,. ,k m and λ 1 ,λ 2 ,. , λ m − 1 such that K ( k 1 ,k 2 ,.,k m ; λ 1 ,λ 2 ,.,λ m − 1 ) is a self-similar set satisfying the open set condition.
Cycles in continuous-time economic models (with applications to Goodwin's and Solow's models)

This paper offers a unified perspective of the analytical detection of Hopf bifurcation, which is a crucial tool in dynamic economic modelling. We clarify the relations between stability theorems and the notions of Simple and General Hopf Bifurcations. A Lienard-Chipart-type theorem for detecting bifurcations, which appears of considerable usefulness in applications, is proved. Subsequently we show how to use the notions of "stability boundary" and "bifurcation boundary", providing a new, surprisingly straightforward, tool for detecting bifurcations in economics. An economic illustration is given by two models with time delay: a Solow-type demo-economic model and a Kaleckian extension of the Lotka-Volterra-Goodwin model.
Hard X-ray Vela supernova observation on rocket experiment WRX-R

This paper presents a hard X-ray telescope for the Vela nebula observation during a sounding rocket flight. The Water Recovery X-ray Rocket (WRX-R) experiment is organised by the Pennsylvania State University (PSU), USA with a primary payload of a soft X-ray spectroscope. The Czech team developed a hard X-ray Lobster-eye telescope as a secondary payload. The Czech experiments astrophysical object of study is the Vela pulsar in the centre of the Vela nebula.