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1. Analog quantum simulation of small-polaron physics in arrays of neutral atoms with Rydberg-dressed resonant dipole-dipole interaction

Author: Stojanovic, Vladimir M.
Subjects: Quantum Physics
Abstract: Recent years have seen growing interest in sharp polaronic transitions in systems with strongly momentum-dependent interactions of an itinerant excitation (electron, hole, exciton) with dispersionless phonons. This work presents a scheme for investigating such phenomena in a controllable fashion within the framework of an analog quantum simulator based on an array of neutral atoms in optical tweezers. The envisioned analog simulator, in which the atoms interact through Rydberg-dressed resonant dipole-dipole interaction, allows one to study the rich interplay of Peierls- and breathing-mode-type excitation-phonon interactions. Based on a numerically-exact treatment of one special case of this system -- namely, the case with equal Peierls- and breathing-mode coupling strengths -- a sharp small-polaron transition was shown to take place for a critical value of the effective excitation-phonon coupling strength. This transition signifies the change from a completely bare (undressed by phonons) excitation below the transition point and a strongly phonon-dressed one (small polaron) above it. This work also highlights the comparative advantages of highly-controllable Rydberg-atom-based systems to other physical platforms for simulating polaronic phenomenology, which could be exploited to study the nonequilibrium dynamics of the small-polaron formation., Comment: 7 pages, 5 figures
Published: 2024

2. Multiband Optical Variability of the Blazar 3C 454.3 on Diverse Timescales

Author: Dogra, Karan, Gupta, Alok C., Raiteri, C. M., Villata, M., Wiita, Paul J., Kurtanidze, S. O., Jorstad, S. G., Bachev, R., Damljanovic, G., Lorey, C., Savchenko, S. S., Vince, O., Abdelkareem, M., Aceituno, F. J., Acosta-Pulido, J. A., Agudo, I., Andreuzzi, G., Ata, S. A., Baida, G. V., Barbieri, L., Blinov, D. A., Bonnoli, G., Borman, G. A., Carnerero, M. I., Carosati, D., Casanova, V., Chen, W. P., Cui, Lang, Elhosseiny, E. G., Elsaesser, D., Escudero, J., Feige, M., Gazeas, K., Gennadievna, L. E., Grishina, T. S., Gu, Minfeng, Hagen-Thorn, V. A., Hemrich, F., Hsiao, H. Y., Ismail, M., Ivanidze, R. Z., Jovanovic, M. D., Kamel, T. M., Kimeridze, G. N., Kopatskaya, E. N., Kuberek, D., Kurtanidze, O. M., Kurtenkov, A., Larionov, V. M., Larionova, L. V., Liao, M., Lin, H. C., Mannheim, K., Marchini, A., Marinelli, C., Marscher, A. P., Morcuende, D., Morozova, D. A., Nazarov, S. V., Nikolashvili, M. G., Reinhart, D., Santos, J. O., Scherbantin, A., Semkov, E., Shishkina, E. V., Sigua, L. A., Singh, A. K., Sota, A., Steineke, R., Stojanovic, M., Strigachev, A., Takey, A., Tawfeek, Amira A., Troitskiy, I. S., Troitskaya, Y. V., Tsai, An-Li, Vasilyev, A. A., Vrontaki, K., Zhang, Zhongli, Zhovtan, A. V., Zottmann, N., and Zuo, Wenwen
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: Due to its peculiar and highly variable nature, the blazar 3C 454.3 has been extensively monitored by the WEBT team. Here, we present for the first time these long-term optical flux and color variability results using data acquired in B, V, R, and I bands over a time span of $\sim$ 2 decades. We include data from WEBT collaborators and public archives such as SMARTS, Steward Observatory, and ZTF. The data are binned and segmented to study the source over this long term when more regular sampling was available. During our study, the long-term spectral variability reveals a redder when brighter (RWB) trend, which, however, stabilizes at a particular brightness cutoff $\sim$ 14.5 mag in the I-band, after which it saturates and evolves into a complex state. This trend indicates increasing jet emission dominance over accretion disk emission until jet emission completely dominates. Plots of the spectral index variation (following $F_{\nu} \propto \nu^{-\alpha}$) reveal a bimodal distribution using a one-day binning. These correlate with two extreme phases of 3C 454.3, an outburst or high flux state and quiescent or low flux state, which are respectively jet and accretion disk dominated. We have also conducted intra-day variability studies of nine light curves and found that six of them are variable. Discrete Correlation Function (DCF) analysis between different optical waveband pairs peak at zero lags, indicating co-spatial emission in different optical bands., Comment: 18 pages, 6 figures, 5 tables
Published: 2024
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3. Multi-wavelength picture of the misaligned BL Lac object 3C 371

Author: Otero-Santos, J., Raiteri, C. M., Tramacere, A., Pedrosa, J. Escudero, Acosta-Pulido, J. A., Carnerero, M. I., Villata, M., Agudo, I., Rahimov, I. A., Andreeva, T. S., Ivanov, D. V., Marchili, N., Righini, S., Giroletti, M., Gurwell, M. A., Savchenko, S. S., Carosati, D., Chen, W. P., Kurtanidze, S. O., Joner, M. D., Semkov, E., Pursimo, T., Benítez, E., Damljanovic, G., Andreuzzi, G., Apolonio, G., Borman, G. A., Bozhilov, V., Galindo-Guil, F. J., Grishina, T. S., Hagen-Thorn, V. A., Hiriart, D., Hsiao, H. Y., Ibryamov, S., Ivanidze, R. Z., Kimeridze, G. N., Kopatskaya, E. N., Kurtanidze, O. M., Larionov, V. M., Larionova, E. G., Larionova, L. V., Minev, M., Morozova, D. A., Nikolashvili, M. G., Ovcharov, E., Sigua, L. A., Stojanovic, M., Troitskiy, I. S., Troitskaya, Yu. V., Tsai, A., Valcheva, A., Vasilyev, A. A., Vince, O., Zaharieva, E., and Zhovtan, A. V.
Subjects: Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Astrophysics of Galaxies
Abstract: The BL Lac object 3C 371 is one of the targets that are regularly monitored by the Whole Earth Blazar Telescope (WEBT) Collaboration to study blazar variability on both short and long timescales. We aim to evaluate the long-term multiwavelength (MWL) behaviour of 3C 371, comparing it with the results derived for its optical emission in our previous study. For this, we make use of the multi-band campaigns organized by the WEBT Collaboration in optical and radio between January 2018 and December 2020, and of public data from Swift and Fermi satellites and the MOJAVE Very Large Interferometry programme. We evaluate the variability shown by the source in each band with the amplitude variability quantification, as well as possible interband correlation using the z-Discrete Correlation Function. We also present a deep analysis of the optical-UV, X-ray and $\gamma$-ray spectral variability. With the MOJAVE data we perform a kinematics analysis, looking for components propagating along the jet, calculating its kinematics parameters. This set of parameters is later used for the interpretation of the source MWL behaviour, modelling the broadband spectral energy distribution (SED) of the source with theoretical blazar emission scenarios., Comment: Accepted in A&A, 23 pages, 15 figures
Published: 2024

4. ContextGNN: Beyond Two-Tower Recommendation Systems

Author: Yuan, Yiwen, Zhang, Zecheng, He, Xinwei, Nitta, Akihiro, Hu, Weihua, Wang, Dong, Shah, Manan, Huang, Shenyang, Stojanovič, Blaž, Krumholz, Alan, Lenssen, Jan Eric, Leskovec, Jure, and Fey, Matthias
Subjects: Computer Science - Information Retrieval, Computer Science - Machine Learning
Abstract: Recommendation systems predominantly utilize two-tower architectures, which evaluate user-item rankings through the inner product of their respective embeddings. However, one key limitation of two-tower models is that they learn a pair-agnostic representation of users and items. In contrast, pair-wise representations either scale poorly due to their quadratic complexity or are too restrictive on the candidate pairs to rank. To address these issues, we introduce Context-based Graph Neural Networks (ContextGNNs), a novel deep learning architecture for link prediction in recommendation systems. The method employs a pair-wise representation technique for familiar items situated within a user's local subgraph, while leveraging two-tower representations to facilitate the recommendation of exploratory items. A final network then predicts how to fuse both pair-wise and two-tower recommendations into a single ranking of items. We demonstrate that ContextGNN is able to adapt to different data characteristics and outperforms existing methods, both traditional and GNN-based, on a diverse set of practical recommendation tasks, improving performance by 20% on average., Comment: 14 pages, 1 figure, 5 tables
Published: 2024

5. Scalable Wavelength Arbitration for Microring-based DWDM Transceivers

Author: Choi, Sunjin and Stojanović, Vladimir
Subjects: Computer Science - Hardware Architecture, Electrical Engineering and Systems Science - Signal Processing
Abstract: This paper introduces the concept of autonomous microring arbitration, or \textit{wavelength arbitration}, to address the challenge of multi-microring initialization in microring-based Dense-Wavelength-Division-Multiplexed (DWDM) transceivers. This arbitration is inherently policy-driven, defining critical system characteristics such as the spectral ordering of microrings. Furthermore, to facilitate large-scale deployment, the arbitration algorithms must operate independently of specific wavelength information and be resilient to system variability. Addressing these complexities requires a holistic approach that encompasses the entire system, from device-level variabilities to the transceiver interface - this system-wide perspective is the focus of this paper. To support efficient analysis, we develop a hierarchical framework incorporating an ideal, wavelength-aware arbitration model to examine arbitration failures at both the policy and algorithmic levels. The effectiveness of this approach is demonstrated in two ways: by analyzing the robustness of each policy in relation to device variabilities, and by developing an algorithm that achieves near-perfect alignment with the ideal model, offering superior robustness compared to the traditional sequential tuning method. The simulator code used in this paper is available at \url{https://github.com/wdmsim/wdm-simulator}.
Published: 2024

6. Scalable Feedback Stabilization of Quantum Light Sources on a CMOS Chip

Author: Kramnik, Danielius, Wang, Imbert, Ramesh, Anirudh, Cabanillas, Josep M. Fargas, Gluhović, Ðorđe, Buchbinder, Sidney, Zarkos, Panagiotis, Adamopoulos, Christos, Kumar, Prem, Stojanović, Vladimir M., and Popović, Miloš A.
Subjects: Quantum Physics, Physics - Optics
Abstract: Silicon photonics is a leading platform for realizing the vast numbers of physical qubits needed for useful quantum information processing because it leverages mature complementary metal-oxide-semiconductor (CMOS) manufacturing to integrate on-chip thousands of optical devices for generating and manipulating quantum states of light. A challenge to the practical operation and scale-up of silicon quantum-photonic integrated circuits, however, is the need to control their extreme sensitivity to process and temperature variations, free-carrier and self-heating nonlinearities, and thermal crosstalk. To date these challenges have been partially addressed using bulky off-chip electronics, sacrificing many benefits of a chip-scale platform. Here, we demonstrate the first electronic-photonic quantum system-on-chip (EPQSoC) consisting of quantum-correlated photon-pair sources stabilized via on-chip feedback control circuits, all fabricated in a high-volume 45nm CMOS microelectronics foundry. We use non-invasive photocurrent sensing in a tunable microring cavity photon-pair source to actively lock it to a fixed pump laser while operating in the quantum regime, enabling large scale microring-based quantum systems. In this first demonstration of such a capability, we achieve a high CAR of 134 with an ultra-low g(2)(0) of 0.021 at 2.2 kHz off-chip detected pair rate and 3.3 MHz/mW2 on-chip pair generation efficiency, and over 100 kHz off-chip detected pair rate at higher pump powers (1.5 MHz on-chip). These sources maintain stable quantum properties in the presence of temperature variations, operating reliably in practical settings with many adjacent devices creating thermal disturbances on the same chip. Such dense electronic-photonic integration enables implementation and control of quantum-photonic systems at the scale required for useful quantum information processing with CMOS-fabricated chips.
Published: 2024

7. Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation

Author: Stojanovic, Stefan, Jedra, Yassir, and Proutiere, Alexandre
Subjects: Computer Science - Machine Learning
Abstract: We consider the problem of learning an $\varepsilon$-optimal policy in controlled dynamical systems with low-rank latent structure. For this problem, we present LoRa-PI (Low-Rank Policy Iteration), a model-free learning algorithm alternating between policy improvement and policy evaluation steps. In the latter, the algorithm estimates the low-rank matrix corresponding to the (state, action) value function of the current policy using the following two-phase procedure. The entries of the matrix are first sampled uniformly at random to estimate, via a spectral method, the leverage scores of its rows and columns. These scores are then used to extract a few important rows and columns whose entries are further sampled. The algorithm exploits these new samples to complete the matrix estimation using a CUR-like method. For this leveraged matrix estimation procedure, we establish entry-wise guarantees that remarkably, do not depend on the coherence of the matrix but only on its spikiness. These guarantees imply that LoRa-PI learns an $\varepsilon$-optimal policy using $\widetilde{O}({S+A\over \mathrm{poly}(1-\gamma)\varepsilon^2})$ samples where $S$ (resp. $A$) denotes the number of states (resp. actions) and $\gamma$ the discount factor. Our algorithm achieves this order-optimal (in $S$, $A$ and $\varepsilon$) sample complexity under milder conditions than those assumed in previously proposed approaches., Comment: Accepted for presentation at the Conference on Neural Information Processing Systems (NeurIPS) 2024
Published: 2024

8. A wiggling filamentary jet at the origin of the blazar multi-wavelength behaviour

Author: Raiteri, C. M., Villata, M., Carnerero, M. I., Kurtanidze, S. O., Mirzaqulov, D. O., Benítez, E., Bonnoli, G., Carosati, D., Acosta-Pulido, J. A., Agudo, I., Andreeva, T. S., Apolonio, G., Bachev, R., Borman, G. A., Bozhilov, V., Brown, L. F., Carbonell, W., Casadio, C., Chen, W. P., Damljanovic, G., Ehgamberdiev, S. A., Elsaesser, D., Escudero, J., Feige, M., Fuentes, A., Gabellini, D., Gazeas, K., Giroletti, M., Grishina, T. S., Gupta, A. C., Gurwell, M. A., Hagen-Thorn, V. A., Hamed, G. M., Hiriart, D., Hodges, M., ivanidze, R. Z., Ivanov, D. V., Joner, M. D., Jorstad, S. G., Jovanovic, M. D., Kiehlmann, S., Kimeridze, G. N., Kopatskaya, E. N., Kovalev, Yu. A., Kovalev, Y. Y., Kurtanidze, O. M., Kurtenkov, A., Larionova, E. G., Lessing, A., Lin, H. C., López, J. M., Lorey, C., Ludwig, J., Marchili, N., Marchini, A., Marscher, A. P., Matsumoto, K., Max-Moerbeck, W., Mihov, B., Minev, M., Mingaliev, M. G., Modaressi, A., Morozova, D. A., Mortari, F., Mufakharov, T. V., Myserlis, I., Nikolashvili, M. G., Pearson, T. J., Popkov, A. V., Rahimov, I. A., Readhead, A. C. S., Reinhart, D., Reeves, R., Righini, S., Romanov, F. D., Savchenko, S. S., Semkov, E., Shishkina, E. V., Sigua, L. A., Slavcheva-Mihova, L., Sotnikova, Yu. V., Steineke, R., Stojanovic, M., Strigachev, A., Takey, A., Traianou, E., Troitskaya, Yu. V., Troitskiy, I. S., Tsai, A. L., Valcheva, A., Vasilyev, A. A., Verna, G., Vince, O., Vrontaki, K., Weaver, Z. R., Webb, J., Yuldoshev, Q. X., Zaharieva, E., and Zhovtan, A. V.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: Blazars are beamed active galactic nuclei known for their strong multi-wavelength variability on timescales from years down to minutes. We aim to investigate the suitability of the twisting jet model presented in previous works to explain the multi-wavelength behaviour of BL Lacertae, the prototype of one of the blazar classes. According to this model, the jet is inhomogeneous, curved, and twisting, and the long-term variability is due to changes in the Doppler factor due to variations in the orientation of the jet-emitting regions. We analysed optical data of the source obtained during monitoring campaigns organised by the Whole Earth Blazar Telescope (WEBT) in 2019-2022, together with radio data from the WEBT and other teams, and gamma-ray data from the Fermi satellite. In this period, BL Lacertae underwent an extraordinary activity phase, reaching its historical optical and gamma-ray brightness maxima. The application of the twisting jet model to the source light curves allows us to infer the wiggling motion of the optical, radio, and gamma-ray jet-emitting regions. The optical-radio correlation shows that the changes in the radio viewing angle follow those in the optical viewing angle by about 120 days, and it suggests that the jet is composed of plasma filaments, which is in agreement with some radio high-resolution observations of other sources. The gamma-ray emitting region is found to be co-spatial with the optical one, and the analysis of the gamma-optical correlation is consistent with both the geometric interpretation and a synchrotron self-Compton (SSC) origin of the high-energy photons. We propose a geometric scenario where the jet is made up of a pair of emitting plasma filaments in a sort of double-helix curved rotating structure, whose wiggling motion produces changes in the Doppler beaming and can thus explain the observed multi-wavelength long-term variability., Comment: In press for A&A
Published: 2024
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9. Quantum circuits for digital quantum simulation of nonlocal electron-phonon coupling

Author: Stojanovic, Vladimir M.
Subjects: Quantum Physics
Abstract: Motivated by the compelling need to understand the nonequilibrium dynamics of small-polaron formation following an electron-phonon interaction quench, in this work we propose a digital quantum simulator of a one-dimensional lattice model describing an itinerant fermionic excitation (e.g. an electron) nonlocally coupled to zero-dimensional bosons (e.g. Einstein-type phonons). Quantum circuits implementing the dynamics of this model, which includes Peierls- and breathing-mode-type excitation-boson interactions, are designed here, their complexity scaling linearly with the system size. A circuit that generates the natural initial (pre-quench) state of this system -- a bare-excitation Bloch state, equivalent to a $W$ state of a qubit register -- is also presented. To facilitate comparisons with the proposed simulator, once experimentally realized, the system dynamics are also evaluated numerically and characterized through the Loschmidt echo and various correlation functions., Comment: 5 pages, 3 figures
Published: 2024

10. General Expressions for $n_{\rm s}$ and $r$ for Several Minimally Coupled Single Scalar Field Models

Author: Stojanovic, Marko, Dimitrijevic, Dragoljub D., and Milosevic, Milan
Subjects: General Relativity and Quantum Cosmology
Abstract: We derive a generalized expressions for the scalar power spectrum and the observational parameters of inflation (the scalar spectral index $n_{\rm s}$ and the tensor-to-scalar ratio $r$) for several single field scalar models minimally coupled with gravity. We work in the framework where the perturbed Einstein equations, at linear order, are of the same form to those obtained in the standard \textit{k}-inflation, with generalized form of the pump field $z$. By generalizing the expressions for $z$ and the speed of sound squared $c_{\rm s}^2$, using the slow-roll approximation, we calculate $n_{\rm s}$ and $r$ up to the second order in the Hubble flow parameters.
Published: 2024

11. Hessian QM9: A quantum chemistry database of molecular Hessians in implicit solvents

Author: Williams, Nicholas J., Kabalan, Lara, Stojanovic, Ljiljana, Zolyomi, Viktor, and Pyzer-Knapp, Edward O.
Subjects: Physics - Chemical Physics, Computer Science - Machine Learning
Abstract: A significant challenge in computational chemistry is developing approximations that accelerate \emph{ab initio} methods while preserving accuracy. Machine learning interatomic potentials (MLIPs) have emerged as a promising solution for constructing atomistic potentials that can be transferred across different molecular and crystalline systems. Most MLIPs are trained only on energies and forces in vacuum, while an improved description of the potential energy surface could be achieved by including the curvature of the potential energy surface. We present Hessian QM9, the first database of equilibrium configurations and numerical Hessian matrices, consisting of 41,645 molecules from the QM9 dataset at the $\omega$B97x/6-31G* level. Molecular Hessians were calculated in vacuum, as well as water, tetrahydrofuran, and toluene using an implicit solvation model. To demonstrate the utility of this dataset, we show that incorporating second derivatives of the potential energy surface into the loss function of a MLIP significantly improves the prediction of vibrational frequencies in all solvent environments, thus making this dataset extremely useful for studying organic molecules in realistic solvent environments for experimental characterization., Comment: 7 pages, 2 figues
Published: 2024

12. Evaluating the Impacts of NTC Learning System on the Motivation of Students in Learning Physics Concepts Using Card-Based Learning Approaches

Author: Bojan Lazarevic, Maja Stojanovic, Jelena Pisarov, and Nemanja Bojanic
Abstract: This study examined the impact on the motivation of students toward learning physics upon applying the Nikola Tesla Center (NTC) learning system. The research was conducted using a quasi-experiment with a pretest-posttest non-equivalent control group design. The participants considered were a large group of 1371 students, from various grades and mixed genres, selected from the same district in Serbia. The instrument of this research was the students' motivation toward science learning (SMTSL), which has been adapted to measure the motivation of students and their learning strategies for physics. Statistical analysis included calculations of Cronbach alpha, chi-square, Kolmogorov-Smirnov (KS) test, independent Samples t-test and ANCOVA, and Pearson correlation test. The study found that using the NTC learning system had a positive effect on students' motivation to learn physics. The experimental group had significantly higher scores on various subscales of motivation such as self-efficacy, active learning strategy, physics learning value, performance goal, and learning environmental stimulation compared to the control group. The research results determined that the NTC learning system is an effective method for promoting motivation of students toward learning physics and it can be recommended for implementation in schools.
Published: 2024

13. The Effects of a Manipulative Skills Intervention Programme on the Motor Proficiency of Adolescents with Intellectual Disabilities

Author: Aleksandra Aleksic Veljkovic, Marija Stojanovic, and Nenad Stojiljkovic
Abstract: With this study we aimed to investigate the impact of a 12-week manipulative skills exercise programme on the motor proficiency of young individuals with intellectual disabilities. A total of 32 learners diagnosed with mild intellectual disabilities, with an average age of 17.81 ± 1.44 years, were divided into 2 equal-sized groups: a control group and an experimental group engaged in a manipulative skills intervention programme. Motor proficiency was assessed using the shortform of the Bruininks-Oseretsky Test of Motor Proficiency Second Edition (BOT™-2), while the participants' coordination level was evaluated using the Body Coordination composite of the BOT™-2. Results show that the manipulative skills intervention programme led to significant improvements in the experimental group's total motor proficiency score on the shortform BOT™-2 (45.31 ± 12.01 vs. 37.12 ± 7.00, ANCOVA: F = 48.65, p = 0.00) as well as the Body Coordination composite(42.69 ± 11.31 vs. 39.84 ± 11.75, ANCOVA: F = 44.35, p = 0.00). These findings suggest that the experimental exercise programme had a positive effect on enhancing the motor proficiency of young individuals with mild intellectual disabilities.
Published: 2024

14. A Wireless, Multicolor Fluorescence Image Sensor Implant for Real-Time Monitoring in Cancer Therapy

Author: Roschelle, Micah, Rabbani, Rozhan, Gweon, Surin, Kumar, Rohan, Vercruysse, Alec, Cho, Nam Woo, Spitzer, Matthew H., Niknejad, Ali M., Stojanovic, Vladimir M., and Anwar, Mekhail
Subjects: Physics - Medical Physics, Electrical Engineering and Systems Science - Systems and Control
Abstract: Real-time monitoring of dynamic biological processes in the body is critical to understanding disease progression and treatment response. This data, for instance, can help address the lower than 50% response rates to cancer immunotherapy. However, current clinical imaging modalities lack the molecular contrast, resolution, and chronic usability for rapid and accurate response assessments. Here, we present a fully wireless image sensor featuring a 2.5$\times$5 mm$^2$ CMOS integrated circuit for multicolor fluorescence imaging deep in tissue. The sensor operates wirelessly via ultrasound (US) at 5 cm depth in oil, harvesting energy with 221 mW/cm$^{2}$ incident US power density (31% of FDA limits) and backscattering data at 13 kbps with a bit error rate <$10^{-6}$. In-situ fluorescence excitation is provided by micro-laser diodes controlled with a programmable on-chip driver. An optical frontend combining a multi-bandpass interference filter and a fiber optic plate provides >6 OD excitation blocking and enables three-color imaging for detecting multiple cell types. A 36$\times$40-pixel array captures images with <125 $\mu$m resolution. We demonstrate wireless, dual-color fluorescence imaging of both effector and suppressor immune cells in ex vivo mouse tumor samples with and without immunotherapy. These results show promise for providing rapid insight into therapeutic response and resistance, guiding personalized medicine., Comment: *equally contributing authors
Published: 2024
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15. Continuously Optimizing Radar Placement with Model Predictive Path Integrals

Author: Potter, Michael, Tang, Shuo, Ghanem, Paul, Stojanovic, Milica, Closas, Pau, Akcakaya, Murat, Wright, Ben, Necsoiu, Marius, Erdogmus, Deniz, Everett, Michael, and Imbiriba, Tales
Subjects: Statistics - Applications, Computer Science - Artificial Intelligence, Computer Science - Robotics
Abstract: Continuously optimizing sensor placement is essential for precise target localization in various military and civilian applications. While information theory has shown promise in optimizing sensor placement, many studies oversimplify sensor measurement models or neglect dynamic constraints of mobile sensors. To address these challenges, we employ a range measurement model that incorporates radar parameters and radar-target distance, coupled with Model Predictive Path Integral (MPPI) control to manage complex environmental obstacles and dynamic constraints. We compare the proposed approach against stationary radars or simplified range measurement models based on the root mean squared error (RMSE) of the Cubature Kalman Filter (CKF) estimator for the targets' state. Additionally, we visualize the evolving geometry of radars and targets over time, highlighting areas of highest measurement information gain, demonstrating the strengths of the approach. The proposed strategy outperforms stationary radars and simplified range measurement models in target localization, achieving a 38-74% reduction in mean RMSE and a 33-79% reduction in the upper tail of the 90% Highest Density Interval (HDI) over 500 Monte Carl (MC) trials across all time steps. Code will be made publicly available upon acceptance., Comment: Submitted to IEEE Aerospace and Electronic Systems
Published: 2024

16. On attractor behavior in braneworld constant-roll inflation

Author: Djordjevic, Goran S., Bilić, Neven, Dimitrijevic, Dragoljub D., Milosevic, Milan, and Stojanovic, Marko
Subjects: General Relativity and Quantum Cosmology
Abstract: We investigate in detail the attractor behavior of some inflationary models based on braneworld dynamics under the constant-roll condition. We describe the dynamics of the models, assuming that the second slow-roll parameter remains constant during inflation. We show that the dynamics of the considered models have the property of a cosmological attractor.
Published: 2024

17. Decision-making algorithm based on the energy of interval-valued fuzzy soft sets

Author: Djurović, Ljubica, Laković, Maja, and Stojanović, Nenad
Subjects: Computer Science - Artificial Intelligence
Abstract: In our work, we continue to explore the properties of interval-valued fuzzy soft sets, which are obtained by combining interval-valued fuzzy sets and soft sets. We introduce the concept of energy of an interval-valued fuzzy soft set, as well as pessimistic and optimistic energy, enabling us to construct an effective decision-making algorithm. Through examples, the paper demonstrates how the introduced algorithm is successfully applied to problems involving uncertainty. Additionally, we compare the introduced method with other methods dealing with similar or related issues.
Published: 2024

18. Composite neural learning-based adaptive actuator failure compensation control for full-state constrained autonomous surface vehicle

Author: Song, Shuai, Jiang, Yu, Song, Xiaona, and Stojanovic, Vladimir
Published: 2025
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19. PID-fuzzy switching-based strategy to heading control for remote operated vehicle

Author: Xie, Baolong, He, Shuping, Cao, Xiang, Wang, Honghai, Stojanovic, Vladimir, and Shi, Kaibo
Published: 2024
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20. Lagrangian Identification of Bulgaria’s Moisture Sources: A Key to Understanding Drought Dynamics

Author: Sorí, Rogert, Stojanovic, Milica, Guerova, Guergana, Pérez-Alarcón, Albenis, Vázquez, Marta, Ernst, Jakob, Nieto, Raquel, and Gimeno, Luis
Published: 2024
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21. Numerical Solution of Simultaneously Developing Laminar Flow in a Plane Duct with Uniform Wall Temperature and Constant Heat Flux

Author: Belhocine, Ali, Houari, Mohammed Sid Ahmed, Stojanovic, Nadica, and Abdullah, Oday Ibraheem
Published: 2024
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22. Underwater acoustic communications

Author: Li, Zhengnan, Chitre, Mandar, and Stojanovic, Milica
Published: 2024
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23. 2. Novellierung des Curriculums Endovaskuläre Techniken 2025: Fortbildungs- und Prüfungsordnung zur Zertifizierung als Endovaskuläre/r Chirurg/in DGG und Endovaskuläre/r Spezialist/in DGG

Author: Straeten, Georg, Hofmann, Marcel, Wendorff, Heiko, Reichert, Viktor, Oikonomou, Kyriakos, Weidenhagen, Rolf, Ghotbi, Reza, Stehr, Alexander, Stojanovic, Tomislav, Toepel, Ingolf, Wack, Christian, Cotta, Livia, and Oberhuber, Alexander
Published: 2024
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24. Assessing the Increasing Frequency of Heat Waves in Cuba and Contributing Mechanisms

Author: Pérez-Alarcón, Albenis, Sorí, Rogert, Stojanovic, Milica, Vázquez, Marta, Trigo, Ricardo M., Nieto, Raquel, and Gimeno, Luis
Published: 2024
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25. Onset of leukocytoclastic vasculitis following covid-19 vaccination: case based comprehensive review

Author: Miskovic, Rada, Radovic, Sara, Arandjelovic, Snezana, Plavsic, Aleksandra, Reljic, Vesna, Peric, Jelena, Brkovic, Voin, and Stojanovic, Maja
Published: 2024
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26. Patient with Fabry disease undergoing cardiac surgery: a word of caution

Author: Vuckovic, Jelena, Stojsic Milosavljevic, Anastazija, Lukic-Sarkanovic, Mirka, Celic, Dejan, Stojanovic, Ivana, and Velicki, Lazar
Published: 2024
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27. Instability of Vibrations in Complex Moving Objects with New Couplings

Author: Milić, Dunja, Deng, Jian, Stojanović, Vladimir, Petković, Marko D., Ceccarelli, Marco, Series Editor, Corves, Burkhard, Advisory Editor, Glazunov, Victor, Advisory Editor, Hernández, Alfonso, Advisory Editor, Huang, Tian, Advisory Editor, Jauregui Correa, Juan Carlos, Advisory Editor, Takeda, Yukio, Advisory Editor, Agrawal, Sunil K., Advisory Editor, Rackov, Milan, editor, Miltenović, Aleksandar, editor, and Banić, Milan, editor
Published: 2025
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28. Design and Analysis of Different Materials in Gear Pairs

Author: Gajević, Sandra, Vujanac, Rodoljub, Matejić, Miloš, Miletić, Ivan, Slavica, Miladinović, Stojanović, Blaža, Ceccarelli, Marco, Series Editor, Corves, Burkhard, Advisory Editor, Glazunov, Victor, Advisory Editor, Hernández, Alfonso, Advisory Editor, Huang, Tian, Advisory Editor, Jauregui Correa, Juan Carlos, Advisory Editor, Takeda, Yukio, Advisory Editor, Agrawal, Sunil K., Advisory Editor, Rackov, Milan, editor, Miltenović, Aleksandar, editor, and Banić, Milan, editor
Published: 2025
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29. Wear Behavior of Hypereutectic Al-18Si Composites Under Linear Reciprocating Sliding

Author: Miladinović, Slavica, Gajević, Sandra, Banić, Milan, Vencl, Aleksandar, Stojanović, Blaža, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Glavaš, Hrvoje, editor, Hadzima-Nyarko, Marijana, editor, Ademović, Naida, editor, and Hanák, Tomáš, editor
Published: 2025
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30. Influence of Axial Stress on the Distribution of Main Normal Stresses in a Plate with an Elliptical Opening

Author: Radojković, Mladen, Milojević, Saša, Bukvić, Milan, Joksić, Snežana, Stojanović, Blaža, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Glavaš, Hrvoje, editor, Hadzima-Nyarko, Marijana, editor, Ademović, Naida, editor, and Hanák, Tomáš, editor
Published: 2025
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31. Twist-and-turn dynamics of spin squeezing in bosonic Josephson junctions: Enhanced shortcuts-to-adiabaticity approach

Author: Odelli, Manuel, Ruschhaupt, Andreas, and Stojanovic, Vladimir M.
Subjects: Quantum Physics
Abstract: The twist-and-turn dynamics of spin squeezing results from the interplay of the one-axis-twisting (nonlinear in the collective-spin operators) and the transverse-field turning (linear) term in the underlying Lipkin-Meshkov-Glick-type Hamiltonian, both with constant (time-independent) prefactors. Using shortcuts to adiabaticity (STA) and the recently developed enhanced version thereof (eSTA), we demonstrate here that dynamics of this type can be utilized for a fast and robust preparation of spin-squeezed states in internal bosonic Josephson junctions, i.e., condensates of cold bosonic atoms in two different internal (hyperfine) states (single-boson modes) coupled through Rabi rotations. Assuming that the initial state of this system is its ground state for a given initial value of the (time-dependent) linear coupling strength and that the nonlinear coupling strength remains constant, we set out to determine the time dependence of the linear (Rabi) coupling strength that allows for the generation of spin-squeezed states using the STA- and eSTA-based approaches. We then characterize the modified twist-and-turn dynamics of this system by evaluating the coherent spin-squeezing and number-squeezing parameters, as well as the fidelity of the target spin-squeezed states. In this way, we show that the eSTA approach allows for a particularly robust realization of strongly spin-squeezed states in this system, consistently outperforming its adiabatic and STA-based counterparts, even for systems with several hundred particles. Our method could also be employed for the generation of metrologically-useful non-Gaussian states., Comment: final, published version
Published: 2024
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32. Optical variability of the blazar 3C 371: from minute to year timescales

Author: Otero-Santos, J., Raiteri, C. M., Acosta-Pulido, J. A., Carnerero, M. I., Villata, M., Savchenko, S. S., Carosati, D., Chen, W. P., Kurtanidze, S. O., Joner, M. D., Semkov, E., Pursimo, T., Benítez, E., Damljanovic, G., Apolonio, G., Borman, G. A., Bozhilov, V., Galindo-Guil, F. J., Grishina, T. S., Hagen-Thorn, V. A., Hiriart, D., Hsiao, H. Y., Ibryamov, S., Ivanidze, R. Z., Kimeridze, G. N., Kopatskaya, E. N., Kurtanidze, O. M., Larionov, V. M., Larionova, E. G., Larionova, L. V., Minev, M., Morozova, D. A., Nikolashvili, M. G., Ovcharov, E., Sigua, L. A., Stojanovic, M., Troitskiy, I. S., Troitskaya, Yu. V., Tsai, A., Valcheva, A., Vasilyev, A. A., Vince, O., Zaharieva, E., and Zhovtan, A. V.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: The BL Lac object 3C 371 has been observed by the Transiting Exoplanet Survey Satellite (\textit{TESS}) for approximately a year, between July 2019 and July 2020, with an unmatched 2-minute observing cadence. In parallel, the Whole Earth Blazar Telescope (WEBT) Collaboration organized an extensive observing campaign, providing three years of continuous optical monitoring between 2018 and 2020. These datasets allow for a thorough investigation of the variability of the source. The goal of this study is evaluating the optical variability of 3C 371. Taking advantage of the remarkable cadence of \textit{TESS} data, we aim to characterize the intra-day variability (IDV) displayed by the source and identify its shortest variability timescale. With this estimate, constraints on the size of the emitting region and black hole mass can be calculated. Moreover, WEBT data is used to investigate long-term variability (LTV), including understanding spectral behaviour of the source and the polarization variability. Based on the derived characteristics, information on the origin of the variability on different timescales is extracted. We evaluated the variability applying the variability amplitude tool that quantifies how variable the emission is. Moreover, we employed common tools like ANOVA (ANalysis Of VAariance) tests, wavelet and power spectral density (PSD) analyses to characterize the shortest variability timescales present in the emission and the underlying noise affecting the data. Short- and long-term colour behaviours have been evaluated to understand the spectral behaviour of the source. The polarized emission was analyzed, studying its variability and possible rotation patterns of the electric vector position angle (EVPA). Flux distributions of IDV and LTV were also studied with the aim of linking the flux variations to turbulent and/or accretion disc related processes., Comment: Accepted in A&A, 20 pages, 19 figures
Published: 2024
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33. 200Gb/s VCSEL transmission using 60m OM4 MMF and KP4 FEC for AI computing clusters

Author: Wettlin, Tom, Lin, Youxi, Stojanovic, Nebojsa, Calabrò, Stefano, Wang, Ruoxu, Zhang, Lewei, and Kuschnerov, Maxim
Subjects: Electrical Engineering and Systems Science - Signal Processing
Abstract: We show a beyond 200Gb/s VCSEL transmission experiment. Results are based on 35GHz VCSEL and advanced DSP. We show an AIR of 245Gb/s PAM-6 back-to-back, and 200Gb/s PAM-4 over 60m OM4 fiber assuming KP4-FEC.
Published: 2024

34. Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery

Author: Jedra, Yassir, Réveillard, William, Stojanovic, Stefan, and Proutiere, Alexandre
Subjects: Computer Science - Machine Learning, Statistics - Machine Learning
Abstract: We study contextual bandits with low-rank structure where, in each round, if the (context, arm) pair $(i,j)\in [m]\times [n]$ is selected, the learner observes a noisy sample of the $(i,j)$-th entry of an unknown low-rank reward matrix. Successive contexts are generated randomly in an i.i.d. manner and are revealed to the learner. For such bandits, we present efficient algorithms for policy evaluation, best policy identification and regret minimization. For policy evaluation and best policy identification, we show that our algorithms are nearly minimax optimal. For instance, the number of samples required to return an $\varepsilon$-optimal policy with probability at least $1-\delta$ typically scales as ${r(m+n)\over \varepsilon^2}\log(1/\delta)$. Our regret minimization algorithm enjoys minimax guarantees typically scaling as $r^{7/4}(m+n)^{3/4}\sqrt{T}$, which improves over existing algorithms. All the proposed algorithms consist of two phases: they first leverage spectral methods to estimate the left and right singular subspaces of the low-rank reward matrix. We show that these estimates enjoy tight error guarantees in the two-to-infinity norm. This in turn allows us to reformulate our problems as a misspecified linear bandit problem with dimension roughly $r(m+n)$ and misspecification controlled by the subspace recovery error, as well as to design the second phase of our algorithms efficiently.
Published: 2024

35. Akutes Abdomen in der 25. Schwangerschaftswoche

Author: Selzer, Clara, Meyer, Markus, Sigmund, Rudolf, Tschak, Philipp, Stojanovic, Nebojsa, and Balogh, Balint
Published: 2025
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36. A Global Multi-Unit Calibration as a Method for Large Scale IoT Particulate Matter Monitoring Systems Deployments

Author: De Vito, Saverio, Elia, Gerardo D, Ferlito, Sergio, Di Francia, Girolamo, Davidovic, Milos, Kleut, Duska, Stojanovic, Danka, and Stojanovic, Milena Jovasevic
Subjects: Computer Science - Machine Learning
Abstract: Scalable and effective calibration is a fundamental requirement for Low Cost Air Quality Monitoring Systems and will enable accurate and pervasive monitoring in cities. Suffering from environmental interferences and fabrication variance, these devices need to encompass sensors specific and complex calibration processes for reaching a sufficient accuracy to be deployed as indicative measurement devices in Air Quality (AQ) monitoring networks. Concept and sensor drift often force calibration process to be frequently repeated. These issues lead to unbearable calibration costs which denies their massive deployment when accuracy is a concern. In this work, We propose a zero transfer samples, global calibration methodology as a technological enabler for IoT AQ multisensory devices which relies on low cost Particulate Matter (PM) sensors. This methodology is based on field recorded responses from a limited number of IoT AQ multisensors units and machine learning concepts and can be universally applied to all units of the same type. A multi season test campaign shown that, when applied to different sensors, this methodology performances match those of state of the art methodology which requires to derive different calibration parameters for each different unit. If confirmed, these results show that, when properly derived, a global calibration law can be exploited for a large number of networked devices with dramatic cost reduction eventually allowing massive deployment of accurate IoT AQ monitoring devices. Furthermore, this calibration model could be easily embedded on board of the device or implemented on the edge allowing immediate access to accurate readings for personal exposure monitor applications as well as reducing long range data transfer needs.
Published: 2023
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37. Robust anti-disturbance interval type-2 fuzzy control for interconnected nonlinear PDE systems via conjunct observer.

Author: Xiaona Song, Danjing Zheng, Shuai Song, Vladimir Stojanovic, and Inés Tejado
Published: 2025
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38. Use of the Sentinel System to Examine Medical Product Use and Outcomes During Pregnancy

Author: Lyons, Jennifer G., Shinde, Mayura U., Maro, Judith C., Petrone, Andrew, Cosgrove, Austin, Kempner, Maria E., Andrade, Susan E., Mwidau, Jamila, Stojanovic, Danijela, Hernández-Muñoz, José J., and Toh, Sengwee
Published: 2024
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39. Versorgung des Bauchaortenaneurysmas in Deutschland: Ein Bericht des Qualitätsregisters der DGG im Jahr 2023

Author: Behrendt, Christian-Alexander, Heckenkamp, Jörg, Cotta, Livia, Steinbauer, Markus, Stojanovic, Tomislav, and Adili, Farzin
Published: 2024
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40. The interlink between thyroid autoimmunity and type 1 diabetes and the impact on male and female fertility

Author: Medenica, Sanja, Stojanovic, Vukasin, Capece, Umberto, Mazzilli, Rossella, Markovic, Milica, Zamponi, Virginia, Vojinovic, Tanja, Migliaccio, Silvia, Defeudis, Giuseppe, and Cinti, Francesca
Published: 2024
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41. Antioxidative and cardioprotective effects of minocycline in ischemia/reperfusion injury in experimental model of hypertension

Author: Rudic, Tamara, Stojanovic, Aleksandra, Sobot, Nikola, Novakovic, Jovana, Bolevich, Sergey, Bolevich, Stefani, Fisenko, Vladimir, Krylova, Irina Nikolaevna, Nikolic, Marina, Jakovljevic, Vladimir, and Srejovic, Ivan
Published: 2024
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42. Radiation hardness of ultrabroadband spintronic terahertz emitters: en-route to a space-qualified terahertz time-domain gas spectrometer

Author: Gueckstock, Oliver, Stojanovic, Nikola, Ha, Yoo Kyung, Hagelschuer, Till, Denker, Andrea, Kourkafas, Giorgious, Seifert, Tom, Kampfrath, Tobias, and Gensch, Michael
Subjects: Physics - Instrumentation and Detectors
Abstract: The radiation hardness of ultrabroadband, spintronic terahertz emitters against gamma and proton irradiation is investigated. We find that irradiation doses equivalent to those experienced by a space instrument en-route to and operated on Mars have a minor effect on the performance of the emitter. In particular, the ultrawide emission spectrum 0.1-30 THz, which covers a large part of the vibrational fingerprint region, remains unchanged. These results make this emitter type highly interesting as essential building block for broad-band gas sensors based on terahertz time-domain spectroscopy for future space missions.
Published: 2024

43. HENO-MAC: Hybrid Energy Harvesting-based Energy Neutral Operation MAC Protocol for Delay-Sensitive IoT Applications

Author: Sarang, Sohail, Stojanović, Goran M, Drieberg, Micheal, Jeoti, Varun, and Valkama, Mikko
Subjects: Computer Science - Networking and Internet Architecture
Abstract: The Internet of Things (IoT) technology uses small and cost-effective sensors for various applications, such as Industrial IoT. However, these sensor nodes are powered by fixed-size batteries, which creates a trade-off between network performance and long-term sustainability. Moreover, some applications require the network to provide a certain level of service, such as a lower delay for critical data, while ensuring the operational reliability of sensor nodes. To address this energy challenge, external energy harvesting sources, such as solar and wind, offer promising and eco-friendly solutions. However, the available energy from a single energy source is insufficient to meet these requirements. This drives the utilization of a hybrid energy harvesting approach, such as the integration of solar and wind energy harvesters, to increase the amount of harvested energy. Nevertheless, to fully utilize the available energy, which is dynamic in nature, the sensor node must adapt its operation to ensure sustainable operation and enhanced network performance. Therefore, this paper proposes a hybrid energy harvesting-based energy neutral operation (ENO) medium access control (MAC) protocol, called HENO-MAC, that allows the receiver node to harvest energy from the solar-wind harvesters and adapt its duty cycle accordingly. The performance of the proposed HENO-MAC was evaluated using the latest realistic solar and wind data for two consecutive days in GreenCastalia. The simulation results demonstrate that the duty cycle mechanism of HENO-MAC effectively utilizes the harvested energy to achieve ENO and uses the available energy resources efficiently to reduce the packet delay for all packets and the highest priority packet by up to 28.5% and 27.3%, respectively, when compared with other existing MAC protocols., Comment: This paper has been accepted for presentation at the IEEE Wireless Communications and Networking Conference (WCNC) 2024
Published: 2024
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44. Constant-roll inflation with tachyon field in the holographic braneworld

Author: Stojanovic, Marko, Bilic, Neven, Dimitrijevic, Dragoljub D., Djordjevic, Goran S., and Milosevic, Milan
Subjects: General Relativity and Quantum Cosmology, High Energy Physics - Theory
Abstract: We study inflation driven by the tachyon field in the holographic braneworld by assuming the second slow-roll parameter $\eta$ is constant. The parameter $\eta$ can be either defined by the tachyon scalar field and the Hubble parameter or by the Hubble parameter only. By assuming a constant $\eta$, we derive and numerically solve a differential equation for the Hubble expansion rate. We calculate numerically the scalar spectral index and the tensor-to-scalar ratio. We confront the results with the observational data and find some constraints on the free model parameters. The swampland conjectures are discussed in the context of the constant-roll inflation, with some accent on the holographic model.
Published: 2023
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45. THz-Driven Coherent Magnetization Dynamics in a Labyrinth Domain State

Author: Riepp, M, Philippi-Kobs, A, Mueller, L, Froemter, R, Roseker, W, Rysov, R, Walther, M, Bagschik, K, Hennes, M, Gupta, D, Marotzke, S, Bajt, S, Pan, R, Golz, T, Stojanovic, N, Boeglin, C, and Gruebel, G
Subjects: Condensed Matter - Materials Science, Physics - Optics
Abstract: Terahertz (THz) light pulses can be used for an ultrafast coherent manipulation of the magnetization. Driving the magnetization at THz frequencies is currently the fastest way of writing magnetic information in ferromagnets. Using time-resolved resonant magnetic scattering, we gain new insights to the THz-driven coherent magnetization dynamics on nanometer length scales. We observe ultrafast demagnetization and coherent magnetization oscillations that are governed by a time-dependent damping. This damping is determined by the interplay of lattice heating and magnetic anisotropy reduction revealing an upper speed limit for THz-induced magnetization switching. We show that in the presence of nanometer-sized magnetic domains, the ultrafast magnetization oscillations are associated with a correlated beating of the domain walls. The overall domain structure thereby remains largely unaffected which highlights the applicability of THz-induced switching on the nanoscale., Comment: 10 pages, 8 figures and 54 references
Published: 2023

46. Ground-state entanglement spectrum of a generic model with nonlocal excitation-phonon coupling

Author: Stojanovic, Vladimir M.
Subjects: Quantum Physics
Abstract: While the concept of the entanglement spectrum has heretofore been utilized to address various many-body systems, the models describing an itinerant spinless-fermion excitation coupled to zero-dimensional bosons (e.g. dispersionless phonons) have as yet not received much attention in this regard. To fill this gap, the ground-state entanglement spectrum of a model that includes two of the most common types of short-ranged, nonlocal excitation-phonon interaction -- the Peierls- and breathing-mode couplings -- is numerically evaluated here. This model displays a sharp, level-crossing transition at a critical coupling strength, which signifies the change from a nondegenerate ground state at the quasimomentum $K_{\textrm{gs}}=0$ to a twofold-degenerate one corresponding to a symmetric pair of nonzero quasimomenta. Another peculiarity of this model is that in the special case of equal Peierls- and breathing-mode coupling strengths the bare-excitation Bloch state with the quasimomentum $0$ or $\pi$ is its exact eigenstate. Moreover, below a critical coupling strength this state is the ground state of the model. Thus, the sharp transition between a bare excitation and a heavily phonon-dressed (polaronic) one can be thought of as a transition between vanishing and finite entanglement. It is demonstrated here that the smallest ground-state entanglement-spectrum eigenvalue to a large extent mimics the behavior of the entanglement entropy itself and vanishes in this special case of the model; by contrast, all the remaining eigenvalues diverge in this case. The implications of excitation-phonon entanglement for $W$-state engineering in superconducting and neutral-atom-based qubit arrays serving as analog simulators of this model are also discussed., Comment: 13 pages, 5 figures
Published: 2023

47. Measurement of the double-differential inclusive jet cross section in proton-proton collisions at s = 5.02 TeV

Author: Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Hussain, P. S., Jeitler, M., Krammer, N., Lechner, L., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., Templ, S., Waltenberger, W., Wulz, C.-E., Darwish, M. R., Janssen, T., Kello, T., Van Mechelen, P., Bols, E. S., D’Hondt, J., De Moor, A., Delcourt, M., El Faham, H., Lowette, S., Makarenko, I., Morton, A., Müller, D., Sahasransu, A. R., Tavernier, S., Van Putte, S., Vannerom, D., Clerbaux, B., Dansana, S., De Lentdecker, G., Favart, L., Hohov, D., Jaramillo, J., Lee, K., Mahdavikhorrami, M., Malara, A., Paredes, S., Pétré, L., Postiau, N., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., De Coen, M., Dobur, D., Knolle, J., Lambrecht, L., Mestdach, G., Rendón, C., Samalan, A., Skovpen, K., Tytgat, M., Van Den Bossche, N., Vermassen, B., Wezenbeek, L., Benecke, A., Bruno, G., Bury, F., Caputo, C., Delaere, C., Donertas, I. S., Giammanco, A., Jaffel, K., Jain, Sa., Lemaitre, V., Lidrych, J., Mastrapasqua, P., Mondal, K., Tran, T. T., Vischia, P., Wertz, S., Alves, G. A., Coelho, E., Hensel, C., Moraes, A., Rebello Teles, P., Aldá Júnior, W. L., Alves Gallo Pereira, M., Barroso Ferreira Filho, M., Brandao Malbouisson, H., Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., Dos Santos Sousa, V., Fonseca De Souza, S., Martins, J., Mora Herrera, C., Mota Amarilo, K., Mundim, L., Nogima, H., Santoro, A., Silva Do Amaral, S. M., Sznajder, A., Thiel, M., Vilela Pereira, A., Bernardes, C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gregores, E. M., Mercadante, P. G., Novaes, S. F., Orzari, B., Padula, Sandra S., Aleksandrov, A., Antchev, G., Hadjiiska, R., Iaydjiev, P., Misheva, M., Shopova, M., Sultanov, G., Dimitrov, A., Ivanov, T., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Keshri, S., Thakur, S., Cheng, T., Guo, Q., Javaid, T., Mittal, M., Yuan, L., Bauer, G., Hu, Z., Lezki, S., Yi, K., Chen, G. M., Chen, H. S., Chen, M., Iemmi, F., Jiang, C. H., Kapoor, A., Liao, H., Liu, Z.-A., Monti, F., Sharma, R., Song, J. N., Tao, J., Wang, J., Zhang, H., Agapitos, A., Ban, Y., Levin, A., Li, C., Li, Q., Lyu, X., Mao, Y., Qian, S. J., Sun, X., Wang, D., Yang, H., Lu, M., You, Z., Lu, N., Gao, X., Leggat, D., Okawa, H., Zhang, Y., Lin, Z., Lu, C., Xiao, M., Avila, C., Barbosa Trujillo, D. A., Cabrera, A., Florez, C., Fraga, J., Reyes Vega, J. A., Mejia Guisao, J., Ramirez, F., Rodriguez, M., Ruiz Alvarez, J. D., Giljanovic, D., Godinovic, N., Lelas, D., Sculac, A., Kovac, M., Sculac, T., Bargassa, P., Brigljevic, V., Chitroda, B. K., Ferencek, D., Mishra, S., Starodumov, A., Susa, T., Attikis, A., Christoforou, K., Konstantinou, S., Mousa, J., Nicolaou, C., Ptochos, F., Razis, P. A., Rykaczewski, H., Saka, H., Stepennov, A., Finger, M., Finger, Jr., M., Kveton, A., Ayala, E., Carrera Jarrin, E., Elgammal, S., Ellithi Kamel, A., Mahmoud, M. A., Mohammed, Y., Ehataht, K., Kadastik, M., Lange, T., Nandan, S., Nielsen, C., Pata, J., Raidal, M., Tani, L., Veelken, C., Kirschenmann, H., Osterberg, K., Voutilainen, M., Bharthuar, S., Brücken, E., Garcia, F., Havukainen, J., Kim, M. S., Kinnunen, R., Lampén, T., Lassila-Perini, K., Lehti, S., Lindén, T., Lotti, M., Martikainen, L., Myllymäki, M., Rantanen, M. m., Siikonen, H., Tuominen, E., Tuominiemi, J., Luukka, P., Petrow, H., Tuuva, T., Amendola, C., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Faure, J. L., Ferri, F., Ganjour, S., Gras, P., Hamel de Monchenault, G., Lohezic, V., Malcles, J., Rander, J., Rosowsky, A., Sahin, M. Ö., Savoy-Navarro, A., Simkina, P., Titov, M., Baldenegro Barrera, C., Beaudette, F., Buchot Perraguin, A., Busson, P., Cappati, A., Charlot, C., Damas, F., Davignon, O., Diab, B., Falmagne, G., Fontana Santos Alves, B. A., Ghosh, S., Granier de Cassagnac, R., Hakimi, A., Harikrishnan, B., Liu, G., Motta, J., Nguyen, M., Ochando, C., Portales, L., Salerno, R., Sarkar, U., Sauvan, J. B., Sirois, Y., Tarabini, A., Vernazza, E., Zabi, A., Zghiche, A., Agram, J.-L., Andrea, J., Apparu, D., Bloch, D., Brom, J.-M., Chabert, E. C., Collard, C., Goerlach, U., Grimault, C., Le Bihan, A.-C., Van Hove, P., Beauceron, S., Blancon, B., Boudoul, G., Chanon, N., Choi, J., Contardo, D., Depasse, P., Dozen, C., El Mamouni, H., Fay, J., Gascon, S., Gouzevitch, M., Greenberg, C., Grenier, G., Ille, B., Laktineh, I. B., Lethuillier, M., Mirabito, L., Perries, S., Vander Donckt, M., Verdier, P., Xiao, J., Lomidze, I., Toriashvili, T., Tsamalaidze, Z., Botta, V., Feld, L., Klein, K., Lipinski, M., Meuser, D., Pauls, A., Röwert, N., Teroerde, M., Diekmann, S., Dodonova, A., Eich, N., Eliseev, D., Erdmann, M., Fackeldey, P., Fischer, B., Hebbeker, T., Hoepfner, K., Ivone, F., Lee, M. y., Mastrolorenzo, L., Merschmeyer, M., Meyer, A., Mondal, S., Mukherjee, S., Noll, D., Novak, A., Nowotny, F., Pozdnyakov, A., Rath, Y., Redjeb, W., Rehm, F., Reithler, H., Schmidt, A., Schuler, S. C., Sharma, A., Stein, A., Torres Da Silva De Araujo, F., Vigilante, L., Wiedenbeck, S., Zaleski, S., Dziwok, C., Flügge, G., Haj Ahmad, W., Kress, T., Nowack, A., Pooth, O., Stahl, A., Ziemons, T., Zotz, A., Aarup Petersen, H., Aldaya Martin, M., Alimena, J., Amoroso, S., An, Y., Baxter, S., Bayatmakou, M., Becerril Gonzalez, H., Behnke, O., Bhattacharya, S., Blekman, F., Borras, K., Brunner, D., Campbell, A., Cardini, A., Cheng, C., Colombina, F., Consuegra Rodríguez, S., Correia Silva, G., De Silva, M., Eckerlin, G., Eckstein, D., Estevez Banos, L. I., Filatov, O., Gallo, E., Geiser, A., Giraldi, A., Greau, G., Grohsjean, A., Guglielmi, V., Guthoff, M., Jafari, A., Jomhari, N. Z., Kaech, B., Kasemann, M., Kaveh, H., Kleinwort, C., Kogler, R., Komm, M., Krücker, D., Lange, W., Leyva Pernia, D., Lipka, K., Lohmann, W., Mankel, R., Melzer-Pellmann, I.-A., Mendizabal Morentin, M., Metwally, J., Meyer, A. 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S., Zarubin, A., Zhizhin, I., and Zhokin, A.
Published: 2025
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48. Model-independent search for pair production of new bosons decaying into muons in proton-proton collisions at s = 13 TeV

Author: Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Hussain, P. S., Jeitler, M., Krammer, N., Li, A., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., Templ, S., Waltenberger, W., Wulz, C.-E., Darwish, M. R., Janssen, T., Van Laer, T., Van Mechelen, P., Breugelmans, N., D’Hondt, J., Dansana, S., De Moor, A., Delcourt, M., Heyen, F., Lowette, S., Makarenko, I., Müller, D., Tavernier, S., Tytgat, M., Van Onsem, G. P., Van Putte, S., Vannerom, D., Bilin, B., Clerbaux, B., Das, A. K., De Lentdecker, G., Evard, H., Favart, L., Gianneios, P., Jaramillo, J., Khalilzadeh, A., Khan, F. A., Lee, K., Mahdavikhorrami, M., Malara, A., Paredes, S., Shahzad, M. A., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., De Coen, M., Dobur, D., Gokbulut, G., Hong, Y., Knolle, J., Lambrecht, L., Marckx, D., Mota Amarilo, K., Samalan, A., Skovpen, K., Van Den Bossche, N., van der Linden, J., Wezenbeek, L., Benecke, A., Bethani, A., Bruno, G., Caputo, C., De Favereau De Jeneret, J., Delaere, C., Donertas, I. S., Giammanco, A., Guzel, A. O., Jain, Sa., Lemaitre, V., Lidrych, J., Mastrapasqua, P., Tran, T. T., Wertz, S., Alves, G. A., Alves Gallo Pereira, M., Coelho, E., Correia Silva, G., Hensel, C., Menezes De Oliveira, T., Mora Herrera, C., Moraes, A., Rebello Teles, P., Soeiro, M., Vilela Pereira, A., Aldá Júnior, W. L., Barroso Ferreira Filho, M., Brandao Malbouisson, H., Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., Fonseca De Souza, S., Gomes De Souza, R., Macedo, M., Martins, J., Mundim, L., Nogima, H., Pinheiro, J. P., Santoro, A., Sznajder, A., Thiel, M., Bernardes, C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gregores, E. M., Lopes Da Costa, B., Maietto Silverio, I., Mercadante, P. G., Novaes, S. F., Orzari, B., Padula, Sandra S., Aleksandrov, A., Antchev, G., Hadjiiska, R., Iaydjiev, P., Misheva, M., Shopova, M., Sultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Keshri, S., Thakur, S., Cheng, T., Javaid, T., Yuan, L., Hu, Z., Liang, Z., Liu, J., Yi, K., Chen, G. M., Chen, H. S., Chen, M., Iemmi, F., Jiang, C. H., Kapoor, A., Liao, H., Liu, Z.-A., Sharma, R., Song, J. N., Tao, J., Wang, C., Wang, J., Wang, Z., Zhang, H., Zhao, J., Agapitos, A., Ban, Y., Deng, S., Guo, B., Jiang, C., Levin, A., Li, C., Li, Q., Mao, Y., Qian, S., Qian, S. J., Qin, X., Sun, X., Wang, D., Yang, H., Zhang, L., Zhao, Y., Zhou, C., Yang, S., You, Z., Jaffel, K., Lu, N., Bauer, G., Li, B., Zhang, J., Gao, X., Lin, Z., Lu, C., Xiao, M., Avila, C., Barbosa Trujillo, D. A., Cabrera, A., Florez, C., Fraga, J., Reyes Vega, J. 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Published: 2024
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49. Measurement of boosted Higgs bosons produced via vector boson fusion or gluon fusion in the H →bb¯s decay mode using LHC proton-proton collision data at bb¯s = 13 TeV

Author: Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Hussain, P. S., Jeitler, M., Krammer, N., Li, A., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., Templ, S., Waltenberger, W., Wulz, C.-E., Darwish, M. R., Janssen, T., Van Mechelen, P., Bols, E. S., D’Hondt, J., Dansana, S., De Moor, A., Delcourt, M., El Faham, H., Lowette, S., Makarenko, I., Müller, D., Tavernier, S., Tytgat, M., Van Onsem, G. P., Van Putte, S., Vannerom, D., Clerbaux, B., Das, A. K., De Lentdecker, G., Evard, H., Favart, L., Gianneios, P., Hohov, D., Jaramillo, J., Khalilzadeh, A., Khan, F. A., Lee, K., Mahdavikhorrami, M., Malara, A., Paredes, S., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., De Coen, M., Dobur, D., Hong, Y., Knolle, J., Lambrecht, L., Mestdach, G., Mota Amarilo, K., Rendón, C., Samalan, A., Skovpen, K., Van Den Bossche, N., van der Linden, J., Wezenbeek, L., Benecke, A., Bethani, A., Bruno, G., Caputo, C., Delaere, C., Donertas, I. S., Giammanco, A., Jain, Sa., Lemaitre, V., Lidrych, J., Mastrapasqua, P., Mondal, K., Tran, T. T., Wertz, S., Alves, G. A., Coelho, E., Hensel, C., Menezes De Oliveira, T., Moraes, A., Rebello Teles, P., Soeiro, M., Aldá Júnior, W. L., Alves Gallo Pereira, M., Barroso Ferreira Filho, M., Brandao Malbouisson, H., Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., Fonseca De Souza, S., Gomes De Souza, R., Martins, J., Mora Herrera, C., Mundim, L., Nogima, H., Pinheiro, J. P., Santoro, A., Sznajder, A., Thiel, M., Vilela Pereira, A., Bernardes, C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gregores, E. M., Mercadante, P. G., Novaes, S. F., Orzari, B., Padula, Sandra S., Aleksandrov, A., Antchev, G., Hadjiiska, R., Iaydjiev, P., Misheva, M., Shopova, M., Sultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Keshri, S., Thakur, S., Cheng, T., Javaid, T., Yuan, L., Hu, Z., Liu, J., Yi, K., Chen, G. M., Chen, H. S., Chen, M., Iemmi, F., Jiang, C. H., Kapoor, A., Liao, H., Liu, Z.-A., Sharma, R., Song, J. N., Tao, J., Wang, C., Wang, J., Wang, Z., Zhang, H., Agapitos, A., Ban, Y., Levin, A., Li, C., Li, Q., Mao, Y., Qian, S. J., Sun, X., Wang, D., Yang, H., Zhang, L., Zhou, C., You, Z., Jaffel, K., Lu, N., Bauer, G., Gao, X., Leggat, D., Okawa, H., Lin, Z., Lu, C., Xiao, M., Avila, C., Barbosa Trujillo, D. A., Cabrera, A., Florez, C., Fraga, J., Reyes Vega, J. A., Mejia Guisao, J., Ramirez, F., Rodriguez, M., Ruiz Alvarez, J. 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L., Ferri, F., Ganjour, S., Gras, P., Hamel de Monchenault, G., Lohezic, V., Malcles, J., Rander, J., Rosowsky, A., Sahin, M. Ö., Savoy-Navarro, A., Simkina, P., Titov, M., Tornago, M., Baldenegro Barrera, C., Beaudette, F., Buchot Perraguin, A., Busson, P., Cappati, A., Charlot, C., Chiusi, M., Damas, F., Davignon, O., De Wit, A., Fontana Santos Alves, B. A., Ghosh, S., Gilbert, A., Granier de Cassagnac, R., Hakimi, A., Harikrishnan, B., Kalipoliti, L., Liu, G., Motta, J., Nguyen, M., Ochando, C., Portales, L., Salerno, R., Sauvan, J. B., Sirois, Y., Tarabini, A., Vernazza, E., Zabi, A., Zghiche, A., Agram, J.-L., Andrea, J., Apparu, D., Bloch, D., Brom, J.-M., Chabert, E. C., Collard, C., Falke, S., Goerlach, U., Grimault, C., Haeberle, R., Le Bihan, A.-C., Meena, M., Saha, G., Sessini, M. 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S., Zarubin, A., Zhizhin, I., Gavrilov, G., Golovtcov, V., Ivanov, Y., Kim, V., Levchenko, P., Murzin, V., Oreshkin, V., Sosnov, D., Sulimov, V., Uvarov, L., Vorobyev, A., Andreev, Yu., Dermenev, A., Gninenko, S., Golubev, N., Karneyeu, A., Kirpichnikov, D., Kirsanov, M., Krasnikov, N., Tlisova, I., Toropin, A., Aushev, T., Gavrilov, V., Lychkovskaya, N., Nikitenko, A., Popov, V., Zhokin, A., Chistov, R., Danilov, M., Polikarpov, S., Andreev, V., Azarkin, M., Kirakosyan, M., Terkulov, A., Belyaev, A., Boos, E., Bunichev, V., Dubinin, M., Dudko, L., Gribushin, A., Klyukhin, V., Kodolova, O., Obraztsov, S., Perfilov, M., Petrushanko, S., Savrin, V., Vorotnikov, G., Blinov, V., Dimova, T., Kozyrev, A., Radchenko, O., Skovpen, Y., Kachanov, V., Konstantinov, D., Slabospitskii, S., Uzunian, A., Babaev, A., Borshch, V., Druzhkin, D., Tcherniaev, E., Chekhovsky, V., and Makarenko, V.
Published: 2024
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50. Assessing attitudes toward research and plagiarism among medical students: a multi-site study

Author: Pavlovic, Andrija, Rajovic, Nina, Masic, Srdjan, Pavlovic, Vedrana, Stanisavljevic, Dejana, Pekmezovic, Tatjana, Lukic, Dusanka, Ignjatovic, Aleksandra, Stojanovic, Miodrag, Spaic, Dragan, Milic, Nikola, Despotovic, Aleksa, Stanisavljevic, Tamara, Janicijevic, Valerija, Tiosavljevic, Danijela, and Milic, Natasa
Published: 2024
Full Text: View/download PDF

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