bluuebunny/crossref_metadata_2025 huggingface dataset:
Os Encantu’s da Estratégia de Marketing de Varejo!
Authors: REICHERT SARA ARIEL CARDOSO , GAIO MATEUS , ARDIGÓ CARLOS MARCELO
Published: December 2024

O setor varejista é complexo, cheio de desafios e oportunidades. Este estudo de caso explora a história da loja de varejo "Encantu's", propriedade de Maristela, com a participação de sua filha Sara, estudante de Comércio Exterior, e Mateus, formado em Administração e especialista em marketing. A Encantu's procura se destacar por seus produtos e atendimento diferenciado, porém enfrenta desafios que causam o estagnamento do negócio. Sara e Mateus embarcam em uma jornada em busca do diagnóstico da loja, bem como estratégias para contribuir com o desempenho, mas enfrentam alguns desafios como o orçamento, e a aprovação da proprietária, que tem receio com as mudanças. O objetivo do caso é guiar o leitor a analisar a situação e pensar de forma estratégica na busca de soluções que atendam as necessidades da empresa, considerando as especificidades de seu mercado. Neste caso, os alunos são instruídos a usar as ferramentas de marketing de varejo para corroborar com o sucesso contínuo da Encantu's, incluindo decisões a partir da abordagem do modelo dos 6 P’s, matriz SWOT, vantagens competitivas, posicionamento de marca, entre outros.
Epi-Illumination Quantitative Phase Imaging (QPI) and 3D Refractive Index (RI) Tomography in Thick Scattering Samples With Quantitative Oblique Back-Illumination Microscopy
Authors: Robles Francisco
Published: December 2024

Quantitative oblique back illumination microscopy (qOBM) is a novel technology that enables QPI and 3D RI tomography of arbitrarily thick samples. Here I will describe the theory, implementation and exciting biomedical applications of this technology.

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Time-Gated Raman for Bioprocess Analysis
Authors: Bakeev Katherine , Zini Jacopo , Daniel Amutha , Tenhunen Mari
Published: December 2024

Raman spectroscopy for process monitoring can be limited due to interference of sample-induced fluorescence overwhelming the Raman signal. Using a Timegated® Raman spectrometer overcomes fluorescence and we show the successful monitoring of biopharmaceutical product production.

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Industrial Photonic Terahertz Radar
Authors: Mohammadzadeh Shiva , Bauer Maris , Keil Andreas , Friederich Fabian
Published: December 2024

We present nondestructive material characterization, thickness measurement, and volumetric inspection of glass-fiber reinforced plastic composites and Li-ion battery electrode coatings used in aviation and automotive industries, using a photonic terahertz frequency-modulated continuous-wave radar.
Fiber-optic solutions for multispectral process-control in-line in 0.3-16µm range
Authors: Artyushenko V. , Novikov A. , Sakharova T. , Bocharnikov A. , Bogomolov A.
Published: December 2024

Presentation of unique multispectral fiber system using 4 key spectral methods in broad 0.3-16µm range to enable remote control of media composition changes with robust single and combi-fiber probes to enhance process efficiency in-line.
Use of Multi-spectral Sensor for Evaluation of Optical Phantom: Toward Point-Of-Care Testing in Biophotonics Application
Authors: Yu Hyunseon , Ko Donghwan , Jung Byungjo
Published: December 2024

We introduce a miniatured spectral sensor and evaluate optical feasibility using optical phantom for PoC testing in biophotonics application. Reflectance data measured by spectral sensor and a commercial spectrometer shows a good correlation with R2=0.856.
Spectroscopy Combined with Machine Learning to Study Oak Barrels Reusability in Wine Industry
Authors: Chalyan Tatevik , Magnus Indy , Ottevaere Heidi
Published: December 2024

To monitor the reusability of oak barrels in the wine industry for highly efficient wine aging purposes, various non-invasive spectroscopic techniques are studied in combination with machine learning algorithms.
Broadband and Metrology-Grade Frequency Combs From Integrated Photonic Chips
Authors: Herr Tobias
Published: December 2024

We report on our recent progress on chip-scale frequency combs and photonic chip-based generation of broadband spectra for optical sensing and spectroscopy from ultra-violet to mid-infrared wavelengths.

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Remote Sensing Instrumentation and Spectral Imagers for Monitoring Methane Emissions.
Authors: Sabarinathan Jayshri
Published: December 2024

Methane is a potent greenhouse gas commonly emitted from landfills and agriculture. Spectral imagers for drone based methane detection are being developed. Preliminary data with commercial instruments from local site will be used to validate analysis.

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Large resolution enhancement of x-ray microscopy using multipixel ghost imaging
Authors: Sefi O. , Klein Y. , Ben Yehuda A. , Bloch S. , Schwartz H. , Cohen E. , Shwartz S.
Published: December 2024

We demonstrate resolution enhancement of a standard hard x-ray imaging system from 500 μm to approximately 20 μm by extending the concept of ghost imaging to multipixel ghost imaging, enabling mega-pixel scale imaging in a short timeframe.
On the Use of Machine Learning for Estimation of Complex Graph Networks and Flows, With Application to Retina Vasculature and Glaucoma Diagnostics
Authors: Barbastathis George , Mondal Sandip , Ahmed Thiara Sana , Tan Bingyao , Braeu Fabian , Zhang Qihang , Cao Liangcai , Girard Michael , Schmetterer Leopold , Tin Aung
Published: December 2024

We show that graph connectivity and the associated flow properties are mapped onto spatial and temporal fluctuations in the far field. The autocorrelation functions are processed by unsupervised and supervised algorithms to invert this mapping.

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Scanning Light-Field Microscopy With Digital Adaptive Optics
Authors: Wu Jiamin
Published: December 2024

In this talk, I will discuss our recent work in mesoscale intravital fluorescence microscopy based on computational imaging methods.

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Advances in Mode-Multiplexed Free-Space Optical Communications
Authors: Willner Alan
Published: December 2024

Mode-division-multiplexing (MDM) holds the promise of increased data capacity for free-space optical communication systems. This talk will highlight various advances in MDM performance, mitigation of atmospheric turbulence, and applicability to different system frequency ranges.

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Control of the quasiparticle density in a superconducting qubit using an infrared laser
Authors: da Silva Benevides Rodrigo
Published: December 2024

We introduce a new technique to control quasiparticle density in superconducting qubits using an infrared laser. It can be used for understanding the effects of high-energy radiation on superconducting circuits with different geometries and materials.

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Low-Loss Fiber Bragg Grating Mode Scramblers Exploiting Propagation Constant Engineering
Authors: Vijay Anirudh , Krutko Oleksiy , Refaee Rebecca , Kahn Joseph
Published: December 2024

Periodic scrambling in multimode fiber links minimizes accumulated modal dispersion and mode-dependent gain/loss, but existing scramblers are too lossy. In fiber Bragg grating scramblers, index profile optimization curtails coupling to unguided modes, yielding losses <0.1 dB over the C band.

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Large-Scale Integrated Photonics on Silicon
Authors: Liang Di
Published: December 2024

Silicon has proven to be a favorable platform for large-scale integration and production of photonics, both in monolithic and heterogeneous fashions. This talk attempts to review their latest breakthroughs for mainstream and emerging applications.

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Silicon Photonics-Powered Biosensing for Rapid Quantification of Blood Biomarkers
Authors: Preston Kyle , Chen Guojun , Chapman Cole , Gundavarapu Sarat , Aljohani Ebrahim , Paredes Arroyo Armando , Lin Chi-Chen , Vinitsky Alexander , Gonzales Alana , Yin Ze , Dubrovsky Michael , Vermeulen Diedrik
Published: December 2024

We demonstrate the capabilities of the SiPhox Home silicon photonics platform, consisting of disposable biosensor cartridges and swept-source instrumentation, for rapid measurement of blood biomarker concentrations such as a high-sensitivity C-reactive protein (hsCRP) assay.

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Quantum Information and Sensing with Structured Light
Authors: D'Ambrosio Vincenzo
Published: December 2024

The ability to tailor the structure of light forms a powerful concept in modern optics. We will discuss some recent results in sensing and quantum information enabled by light modes structured in polarization.

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Neuromorphic Imaging and Control of Levitated Particles
Authors: Millen James
Published: December 2024

Levitated microparticles are mechanical sensors with low dissipation, with applications including detecting gravitational waves and searching for dark matter. We deploy neuromorphic imaging to track arrays of levitated sensors, and individually cool their motion.

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Sensing and Target Detection Using Quantum Inspired Systems
Authors: Helmy Amr
Published: December 2024

The system utilises using high power classical time-frequency correlation that is closely related to non-classical time-frequency entanglement and a novel frequency conversion technique to analyze such correlation with unprecedented efficiency and accuracy.

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Infrared Spectroscopic Imaging for Clinical Digital Histopathology
Authors: Bhargava Rohit
Published: December 2024

Histopathology underpins almost all diagnostic tests and research in solid tissues. Here we describe infrared imaging technology to address the challenge of recording high fidelity data to scan large tissue samples in reasonable times.

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Coherent Stokes Raman Scattering (CSRS) Microscopy
Authors: Heuke Sandro
Published: December 2024

I report about the first implementation of laser scanning coherent Stokes Raman scattering (CSRS) microscopy and show how to suppress the fluorescence background. In a second part, I will explain CSRS’ potential for direct backscattering.

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Optical/Digital co-Design Approach : Methods, Applications - and how to Trick Your Commercial Optical Design Software
Authors: Burcklen Marie-Anne , Fontbonne Alice , Sauer Hervé , Kulcsar Caroline , Goudail François
Published: December 2024

Co-design refers to the joint optimization of optical elements and image processing algorithms to improve the global performance of an imaging system. We present co-design methods for different types of optical systems, starting from binary phase masks to more complex multi-lens systems with high aperture and large field of view. We demonstrate on various examples that this approach can increase imaging performance and lead to lighter and more compact systems.

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Non-uniformly lighted image enhancement exploiting the Atangana–Baleanu fractional integral and the Sobel filter
Authors: Lecca Michela , Serapioni Raul Paolo
Published: December 2024

Improving the quality of non-uniformly lighted images is particularly hard because these images contain regions with different brightness, thus needing a different level of enhancement. Recently, this problem has been addressed by combining the input image with a new version where the input brightness is linearly up-scaled by a parameter, which is estimated without supervision by segmenting the image into dark and bright regions and comparing their brightness. This estimate represents a pitfall because it makes the algorithm performance dependent on the segmentation accuracy and cannot be applied to images whose bright regions are almost white. To overcome these issues, the present work introduces a new image-aware estimate of the brightness up-scaling parameter, which exploits edge information extracted by the Sobel filter and by the first derivative of the Atangana–Baleanu fractional integral. The joint use of integer- and fractional-order calculus proposed here represents the main contribution of this work and, as proved by the experiments, enables us to reach a good level of enhancement surpassing other cutting-edge techniques, particularly in terms of reduced artifact production.
Measurements of Temperature Downstream of the Stratified Swirl Burner by a Single-ended TDLAS Sensor
Authors: Luo Liezhao , Li Ting , Zhao Runzhou , Xu Lijun
Published: December 2024

A single-ended TDLAS sensor with spatial resolution of millimeter lever is developed. This sensor is utilized to perform temperature measurements downstream of a stratified swirl burner, achieving a measurement rate of 2 kHz.
kHz rate multi-focus fs/ps-CARS spectroscopy for gas flow diagnostics
Authors: Scherman Michael , Pivard Clément , Santagata Rosa , Attal-Tretout Brigitte
Published: December 2024

We report up to 8-point simultaneous CARS spectroscopy in an Ar/air gas flow, as well as 2-point thermometry in a CH4/air flame, performed in single shot at 1 kHz using an original birefringent-based multifocus arrangement.
Characterization of common plastic microspheres through holographic Mueller matrix imaging
Authors: Lopera Maria J. , Nie Yunfeng , Trusiak Maciej , Trujillo Carlos , Ottevaere Heidi
Published: December 2024

This study presents the measurement of Mueller matrices from a polarimetric in-line holographic setup to characterize microspheres of common plastics. Results demonstrate distinctive polarimetric signatures, offering a deterministic tool for automated microplastic detection and insightful parameters for further analysis.
ML-Enhanced Laser-Based Analyzer for Selective C1-C5 Alkanes Detection
Authors: Sy Mohamed , Elkhazraji Ali , Khan Mohammed S. , Luo Pan , Atwah Ibrahim , Farooq Aamir
Published: December 2024

A laser sensor is developed for selective and simultaneous measurement of C1-C5 alkanes in natural gas samples. Utilizing a DFB-ICL near 3.3 µm and employing CNNs, it distinguishes overlapping absorbance spectra of C1-C5 alkanes and isomer species.
Supercontinuum light simultaneously sensing NO2 and particulate matter (PM)
Authors: Wang Gaoxuan , Gou Qian , Meng Lingshuo , Hanoune Benjamin , Crumeyrolle Suzanne , Fagniez Thomas , Coeur Cécile , Akiki Rony , Chen Weidong
Published: December 2024

A novel instrument based on broadband cavity enhanced absorption spectroscopy has been developed using a supercontinuum broadband light source, which showcases its ability in simultaneous measurements of NO2 concentration and the extinction of particulate matter.
Infrared Laser Spectroscopy for Reactive Flow Sensing
Authors: Chao Xing , Song Zihao , Zhu Ning , Wang Weitian
Published: December 2024

Infrared laser spectroscopy enables fast, in-situ, and quantitative gas sensing. We report our recent advancements in investigation of molecular vibrational energy transfers, high-resolution spectroscopy methods, and efficient spectral signal processing technologies, targeting reactive flow sensing.
Environmental Dual-Comb Sensing of Nitrogen Dioxide
Authors: Eber Alexander , Fürst Lukas , Lindorfer Florian , Siegrist Florian , Kirchner Adrian , Tschofenig Benedikt , di Vora Robert , Speletz Armin , Pal Mithun , Bernhardt Birgitta
Published: December 2024

Nitrogen dioxide is of major importance to our climate. We achieve a 5 ppb sensitivity with one-minute averaging times and a spatial resolution of 90 m with a mobile dual frequency comb and reflector setup.
QEPAS sensor for in-situ measurement of CO2 and its isotopic fingerprint
Authors: Ruiz-Llata Marta , Sanoyan Yuliy M. , Hidalgo-Arteaga Lucía
Published: December 2024

We present the design and first results of a Photoacoustic Spectroscopy sensor to measure in-situ CO2 concentration and the δ13C isotopic fingerprint. The sensor main components are a Quartz Enhanced Photoacoustic (QEPAS) gas cell excited with a Mid Infrared Quantum Cascade Laser (QCL).
Laser-based velocity measurements in large transonic cryogenic wind tunnels: challenges and opportunities
Authors: Danehy P. M. , Burns R. A. , Gao J. , Tyrrell O. K.
Published: December 2024

Two different approaches for velocimetry have been implemented in transonic cryogenic wind tunnels at the NASA Langley Research Center. Challenges associated with measuring velocity in these facilities are summarized and two different measurement techniques are described.
Microsecond Lifetime Nitric Oxide MTV with 1+1 REMPI
Authors: Hsu Paul , Jiang Naibo , Roy Sukesh , Wang Jincheng , Hu Hui , Rodrigues Neil S. , Danehy Paul
Published: December 2024

Long-lived NO fluorescence with a lifetime of several microseconds is demonstrated for MTV using an efficient 1+1 resonant-enhanced-multiphoton-ionization (REMPI) process. This measurement technology is particularly applicable to high-speed flows under a wide pressure range.
100-KHz Rate CO Imaging Using Burst-mode OPO
Authors: Roy Awnik , Hsu Paul
Published: December 2024

Demonstration of two-photon planar laser-induced fluorescence imaging (TP-PLIF) of carbon monoxide (CO) using a narrow linewidth optical parametric oscillator (OPO). This development allows high-speed, time-resolved CO measurements in dynamic hypersonic boundary layers and combustion environments.
Advances in Laser Sources for Femtosecond, Picosecond, and Nanosecond High-speed Laser Diagnostics
Authors: Slipchenko Mikhail N. , Leicht Jason , Crabtree Christopher Q. , Gomez Mateo , Meyer Terrence R. , Roy Sukesh
Published: December 2024

This work present recent advances in laser technology including the performances of 1 kJ burst-mode system for linear and non-linear optical high-speed diagnostics in reacting and non-reacting flows.
1 kHz rate measurement of vibrational/rotational nonequilibrium using hybrid femto/picosecond coherent anti-Stokes Raman scattering in plasma
Authors: Dakroub Laila , Scherman Michael , McGuire Sean , Pivard Clément , Dorval Nelly , Packan Denis , Nicolas Phillipe , Santagata Rosa , Attal-Trétout Brigitte
Published: December 2024

We report simultaneous 1 kHz single-shot measurement of rotational and vibrational temperature of N2 using hybrid femto/picosecond coherent anti-Stokes Raman scattering of the Q branch of N2 in a non-equilibrium DC glow discharge.
THz Absorption Spectroscopy of Atomic Oxygen in Plasmas: A Comparison to ps-TALIF and CRDS
Authors: Wubs Jente R. , Macherius Uwe , Nave Andy S. C. , Invernizzi Laurent , Gazeli Kristaq , Lombardi Guillaume , Lü Xiang , Schrottke Lutz , Weltmann Klaus-Dieter , van Helden Jean-Pierre H.
Published: December 2024

Terahertz absorption spectroscopy with quantum cascade lasers has recently been utilized for investigating ground state atomic oxygen densities in plasmas. The results are in excellent agreement with those obtained with well-known diagnostics ps-TALIF and CRDS.
Multispecies Open-Path Spectroscopy in the Mid-Infrared Region Using a Fiber-Based Supercontinuum Source
Authors: Khodabakhsh A. , Krebbers R. , van Kempen K. , Cristescu S. M.
Published: December 2024

Novel mid-infrared nonlinear-fiber-based supercontinuum sources provide high spectral power and broad spectral coverage in a small footprint which makes them interesting for in-situ open-path multispecies detection. Here, we demonstrate our recent results for this application.
Design and Realization of a Broadband Optical Sensor for Air Pollution Monitoring
Authors: Balet Laurent , Hofer Christoph , Giriens Laurent , Chin Sanghoon , Van Zaen Jérôme , Calvo Enric Muntané , Denis Séverine , Lecomte Steve
Published: December 2024

Driven by the realization of a fiber-based mid-IR broadband supercontinuum light source, this study reports on the design and realization of a field-compatible and portable Fourier Transform Spectrometer for comprehensive air pollution monitoring.
Thulium-Based Pumping of Mid-Infrared Supercontinua: A Comparative Bandwidth and Noise Study
Authors: Smith Callum R. , Yeh Dung-Han , Montague Patrick B. , Petersen Christian R. , Bang Ole
Published: December 2024

We compare bandwidth and noise properties of mid-infrared supercontinua pumped by thulium-based gain-switched and modelocked systems. We demonstrate how a simple pump and efficient concatenation of fibers can maximize mid-infrared bandwidth beyond 5 μm.
3D Flow Field Quantification in an Artery Model Using Optical Flow Method Based on Simulated Multi-Angle Angiography
Authors: Yang Zifeng , Yi Hang , Bramlage Luke , Ludwig Bryan
Published: December 2024

3D flow field in a numerically simulated arterial model is quantified using the three-dimensional optical flow method based on simulated simultaneous multi-angle X-ray angiography of the blood flow with contrast agent perfusions.
Using PCA and DNN for fitting raw TDLAS spectra: application to a supersonic flow
Authors: Vilmart Gautier
Published: December 2024

A novel method is described for fitting raw Tunable Diode Laser Absorption Spectroscopy (TDLAS) spectra leveraging Principal Component Analysis (PCA) in conjunction with Deep Neural Networks (DNN). It showed promising results for weakly absorbing transitions.
Generating Blood Analog for Laser Induced Fluorescent Particle Image Velocimetry
Authors: Ma Chungyiu , Chong Jared , Yi Hang , Yang Zifeng , Bramlage Luke , Ludwig Bryan
Published: December 2024

To mimic blood non-Newtonian viscosity features under designated temperatures from 305 to 315 K, transparent blood analogs were generated by the mixture of xanthan gum and deionized water with fluorescent particles for laser induced fluorescent particle image velocimetry.
Mid-IR Photonic Integrated Circuits for On-Chip Liquid Sensing and Beyond
Authors: Hinkov Borislav , David Mauro , Marschick Georg , Arigliani Elena , Gsodam Xaver , Koukola D. , Pilat Florian , Opacak N. , Schwaighofer Andreas , Dabrowska Alicja , Evirgen Axel , Pes Salvatore , Schwarz Benedikt , Lendl Bernhard , Strasser Gottfried
Published: December 2024

We present design and realization of novel types of monolithic mid-IR photonic integrated circuits (PICs) based on quantum-cascade (QC) technology and Ge-Au/PE-Au plasmonics. We demonstrate linear lab-on-a-chip devices and fully monolithic integrated heterodyne receivers.
Simultaneous Temperature and Thickness Measurements in Microfluidic Flows Using Two-Color Laser-Induced Fluorescence
Authors: Chen Xiyu , Li Xin , Li Jiwei , Wang Qiu , Wang Yejun , Zhao Wei
Published: December 2024

Characterization of two-dye/two-color laser-induced fluorescence is explored for liquid-phase applications. The dependence of laser energy, dye concentration, and temperature on the signal are studied, simultaneous temperature and thickness measurements are further demonstrated in microfluidic flows.
Imaging light ray deviations for reactive supersonic flow sensing and tomography
Authors: Léon Olivier , Donjat David , Doublet Pierre , Langenais Adrien , Plyer Aurélien , Champagnat Frédéric
Published: December 2024

This work demonstrates the application of high-speed Background Oriented Schlieren for the quantitative analysis of reactive supersonic jets. Tomographic reconstructions of refractive index fields are compared with OH· visualizations and a reactive RANS model.
Light-induced thermoelastic spectroscopy-based novel temperature measurement method
Authors: Liu Xiaonan , Ma Yufei
Published: December 2024

A novel temperature measurement method based on light-induced thermoelastic spectroscopy (LITES) was demonstrated. The relative error of the measured temperature was less than 5%, which indicated that the LITES temperature sensor has excellent detection accuracy.
From Utility Scale Quantum to Quantum-Centric Supercomputing
Authors: Chow Jerry
Published: December 2024

Abstract not available.

Full-text article not available; see video presentation
Scalable Diamond and Silicon Carbide Quantum Systems
Authors: Vuckovic Jelena , Biswas Souvik
Published: December 2024

We demonstrate a scalable integrated platform for quantum technologies based on photonically interfaced spin qubits in diamond and silicon carbide, and show all-to-all interactions of up to 10 color centers strongly coupled to a resonator.

Full-text article not available; see video presentation
Meta-optics for AR/ VR System
Authors: Majumdar Arka
Published: December 2024

By co-designing the meta-optics and computational backend, we demonstrated broadband imaging as well privacy preserving imaging for augmented/ virtual reality application. We also reported large field of view eyepiece.

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Isolated Attosecond Pulse Generation and Field-Resolved Spectroscopy with Turn-Key Lasers
Authors: Chini Michael
Published: December 2024

Attosecond pulses can provide access to electron dynamics in atoms, molecules and solids, but the required lasers remain inaccessible to many laboratories. Here, we describe progress in generating isolated attosecond pulses from turn-key lasers.

Full-text article not available; see video presentation
At the Quantum Limit of Gravitational-Wave Detection
Authors: Xu Victoria
Published: December 2024

Abstract not available.

Full-text article not available; see video presentation
Metasurfaces for Image Processing and Analog Computing
Authors: Alu Andrea
Published: December 2024

I discuss our recent progress in demonstrating ultrathin engineered surfaces that perform image processing and computing on optical signals and images, and the opportunities for photonic technologies.

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Building epsilon near zero materials from layered uniaxial metamaterials
Authors: Gray Stephen K. , Hong Youngjoon , Nicholls David P.
Published: December 2024

Recently, there has been an explosion of activity in the fields of optics and photonics with the advent of fabrication techniques which enable the design of metamaterials which possess properties not encountered in the natural world. In this work, we are concerned with zero permittivity materials and a new scheme to design metamaterials for which all components of the dielectric tensor are approximately zero. Our approach involves the alternate layering of many, very thin, slices of two constituent metamaterials, a uniaxial layered medium and a uniaxial nanowire array. With a simple optimization strategy we demonstrate a candidate configuration which very nearly satisfies our design goal of zero permittivity.
Extending the FDTD GVADE method nonlinear polarization vector to include anisotropy
Authors: Grimms Caleb J. , Nevels Robert D.
Published: December 2024

In this paper the finite-difference time-domain general vector auxiliary differential equation method [Opt. Express 14, 8305 (2006)10.1364/OE.14.008305], nonlinear polarization vector, the nonlinear electric dipole moment per unit volume, is extended to include anisotropy, in nonlinear isotropic media at optical frequencies. The theory is presented for extending the numerical method in 3D Cartesian coordinates, and then example simulation results are presented for two isotropic media. First, the simplified 2D transverse magnetic case is revisited for the fused silica example introduced in the 2006 paper, including the anisotropic part of the nonlinear polarization vector in the simulation; the simulation results including the anisotropic part of the polarization vector were compared with the purely isotropic polarization vector simulation results. Second, a simplified 2D transverse magnetic example was simulated in carbon disulfide, with its strong molecular re-orientation-induced polarization anisotropy.
Encrypted optical information in nonlinear chaotic systems uncovered using neural networks
Authors: Konstantakis Panagiotis , Manousidaki Maria , Tzortzakis Stelios
Published: December 2024

Optical information encoded in holograms is transferred by means of ultrashort laser filaments propagating in highly nonlinear and turbulent media. After propagation, the initial optical information is completely scrambled and cannot be retrieved by any experimental or physical modeling system. Yet, we demonstrate that neural networks trained on experimental data provide a robust way to fully recover the original hologram images. Remarkably, our approach demonstrates the ability to decode intricate spatial information, marking a significant advancement in information retrieval from chaotic media, with applications in secure free-space optical communications and cryptography.
Superradiant phase transition in a large interacting driven atomic ensemble in free space
Authors: Ruostekoski Janne
Published: December 2024

Atoms strongly interacting with light constitute rich quantum-optical systems with the potential for observing cooperative effects and dissipative nonequilibrium phase transitions. We analyze the conditions under which a driven atomic array, characterized by strong dipole–dipole interactions and a large spatial extent, can undergo a superradiant phase transition, also known as cooperative resonance fluorescence. We find that the array can exhibit completely cooperative decay that conserves the collective pseudospin, resulting in a second-order quantum phase transition, with a key hallmark being an abrupt shift from total light reflection by the atoms to rapidly increasing transmission and significant quantum fluctuations. We compare the results with decay mechanisms that fail to conserve pseudospin, leading to a discontinuous first-order phase transition at a critical finite atom number.
Turbulence Modeling and Forecasting Using Machine Learning and Regional Weather
Authors: Magee Eric , Diskin Yakov , Whiteley Matthew , Grose Miitchell
Published: December 2024

Modeling the relationship between meteorological conditions and optical turbulence is a challenging multifaceted problem. We observed simultaneous weather and turbulence to develop a modeling approach that produces volumetric site-specific models capable of forecasting optical conditions.

Full-text article not available; see video presentation
Plenoptic Wavefront Sensing in Deep Turbulence
Authors: Watnik Abbie
Published: December 2024

Abstract not available.

Full-text article not available; see video presentation
TILBA-ATMO: a Multi-Plane Light Conversion (MPLC) Based Turbulence Mitigation Solution for Laser Communications.
Authors: Michel Thibault , Billaud Antonin , Dautancourt Cédric , Autebert Claire , Jian Pu
Published: December 2024

Cailabs' TILBA-ATMO, leveraging Multi-Plane Light Conversion (MPLC) technology, provides turbulence mitigation for atmospheric communication. We demonstrate turbulence mitigation over 45 modes, meeting requirements for low-Earth orbit satellite signals at high Greenwood frequency and large D/r0.

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Using Local Sensors to Enhance Real-Time Performance Models
Authors: Beason Melissa , Elmore Brannon , Fiorino Steve , Schmidt Jaclyn , McCrae Jack , Keefer Kevin , Bose-Pillai Santasri , Raut Yogendra , Sherman Justin , Erickson Anthony , Drye Richard , Whitely Matthew , Diskin Yakov
Published: December 2024

Propagation and imaging models in combination with NWP and radiative effects can be used to estimate system performance. This presentation describes using local sensors to enhance model performance and considers data obtained during recent eclipse.

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Cancer Detection using Quantum Imaging with Undetected Photons
Authors: Pearce Emma , Gemmell Nathan R. , Flórez Jefferson , Ding Jiaye , Oulton Rupert F. , Clark Alex S. , Phillips Chris C.
Published: December 2024

QUIP shifts image wavelengths using quantum entanglement, allowing for imagers that work beyond the cutoff of our Si camera. We plan to use them to image the elevated DNA concentrations characteristic of Cancer.
Towards pulsed high-gain quantum imaging with undetected photons
Authors: Zhang Jingrui , Cardoso Arthur C. , Hoggarth Rowan A. , Dong Jinghan , Nie Weijie , Zhou Haichen , Rarity John G. , Clark Alex S.
Published: December 2024

High-gain nonlinear interferometry (NLI) is useful for measuring small mid-infrared transmission changes in lossy samples by detecting near-infrared light. We experimentally reach a parametric down-conversion gain of ~ 3 and will present progress towards NLI imaging.
A Simple Model for Understanding and Calculating Geometric Phase
Authors: Hagen Nathan , Garza-Soto Luis
Published: December 2024

We show how geometric phases derive from the elementary geometry of waves, and that geometric phases can be calculated from simple geometric transformations.
Optical Fiber as a sensor: seismic observatory on the telecom fiber network using coherent laser interferometry
Authors: Donadello Simone , Clivati Cecilia , Govoni Aladino , Margheriti Lucia , Vassallo Maurizio , Brenda Daniele , Hovsepyan Marianna , Bertacco Elio K. , Concas Roberto , Levi Filippo , Mura Alberto , Herrero Andrè , Carpentieri Francesco , Calonico Davide
Published: December 2024

We demonstrated the quantitative use of a coherent laser interferometry technique, originally used for the frequency comparison of remote high accuracy atomic clocks, to fibre sensing, and in partiuclar to seismic detection. After first implementations in submarine and land fibre networks, we further developed this technique on land realizing a permanet observatory and gaining quantitative characterization of the sensor and its potential capabilities.
Distributed dynamic temperature and strain discrimination based on Brillouin enhanced Four-wave mixing and Rayleigh scattering
Authors: Wang Yuan , Bao Xiaoyi
Published: December 2024

We demonstrate a hybrid Brillouin and Rayleigh sensing system for simultaneous temperature/strain measurement, achieving dynamic and high spatial resolution ability with ultra lower discrimination noises of
2.7nε/Hz and
0.12m°C/Hz, respectively.
Optical Frequency-Domain Reflectometry for Distributed Thermal Monitoring inside Lithium-Ion Pouch Cell
Authors: Chin Sanghoon , Srout Mohammed , Holzer Jannis , Denis Séverine , Ingenito Andrea , Stauffer Yves
Published: December 2024

We have successfully integrated a strand of optical fiber inside a lithium-ion pouch cell as optical sensor. Then, an optical frequency-domain reflectometer is connected to the sensing fiber for distributed temperature monitoring inside the battery.
Heat Management and Quantum Efficiency Enhancement of Phototransistors Made from Two-Dimensional Materials
Authors: Islam Raonaqul , Anjum Ishraq Md , Menyuk Curtis R. , Simsek Ergun
Published: December 2024

By placing a periodic array of metal nanoparticle-silicon nanowire composite structures underneath a monolayer of MoS2, we achieve the design of a phototransistor with improved thermal management, higher quantum efficiency, and lower phase noise.
Colorimetric Sensing with Reconfigurable Chiral Plasmonic Metamolecules
Authors: Loo Jacky , Calpe Roman , Pham Xuan-Hung , Nguyen Minh-Kha , Huang Yike , Hällsten Susanna , Mikkola Kalle Oskari , Lindfors Anni , Heikkilä Alina-Sofia , Hakala Tommi , Liedl Tim , Kuzyk Anton
Published: December 2024

Chiral Plasmonic Metamolecules with pronounced optical activities enable colorimetric readout of chiroptical responses. We developed the reconfigurable metamolecules that has a high dis-symmetry factor as nanoswitches for molecular biosensing, where addition of target analytes brought a drastic color change readily detected with the naked eye.
MicroRing based ultra sensitive wavelength locking
Authors: Velha Philippe
Published: December 2024

This study investigates the use of integrated optics micro-ring for precise measurement of wavelength shift, demonstrating high accuracy (< MHz) and large dynamic range experimentally for laser wavelength locking applications.
Uncooled Kilohertz Speed Direct Power THz Receiver Family: Applications and Updates
Authors: Baliga S. , Budden M. , Deninger A. , Gebert T. , Kunsch J.
Published: December 2024

This paper describes updates in the LTO based pyroelectric receiver family and its application in a frequency domain terahertz platform. High resolution water vapor spectra were taken from 40 GHz to 2330 GHz and benchmarking against an InGaAs photomixer was performed.
Development of quantum-dot luminescent probes for the creation of wearable acetone sensors
Authors: Mendez-Gonzalez Diego , Ceres Jaime , Rubio-Retama Jorge , Marin Riccardo , Cascales Juan Pedro
Published: December 2024

We explore CuInS2luminescent quantum dots as gaseous acetone sensors, with specific interactions due to surface-functionalization with L-cysteine. We present optical characterization measurements of QD-based films and proof-of-principle results obtained with a prototype device.
Hyperspectral microscopy methods for building a spectral reference data set to support Spectral Mixture Analysis for Surveillance of Harmful Algal Blooms (SMASH)
Authors: Hall Natalie C. , Legleiter Carl J.
Published: December 2024

This study provides a proof-of-concept case study where cyanobacteria genera were differentiated using space-based hyperspectral imagery and a reference spectral dataset. Methods are also introduced to expand upon the reference spectral data using hyperspectral microscopy.
Analysis of Surface Waves in trackside dark fibers using Distributed Acoustic Sensing (DAS)
Authors: Gonzalez-Herraez Miguel , Schaedler Maximilian , Preciado-Garbayo Javier , Martins Hugo F. , Gaite-Castrillo Beatriz , Bravo-Monge José Benito , de María Irene , Rodríguez-Plaza Miguel
Published: December 2024

The application of array seismology methods in Distributed Acoustic Sensing data gathered in trackside fibers can provide a significant amount of information on the terrain features and the railway superstructure.
Measurement of Slowly Changing and Quasi-Static Strain Signals for Ground Motion Monitoring Applications using Distributed Acoustic Sensing
Authors: Hicke Konstantin , Lu Xin , Chruscicki Sebastian , Krebber Katerina
Published: December 2024

The suitability of wavelength-scanning COTDR for distributed dynamic strain sensing (DAS) along buried fiber cables for long-term geotechnical monitoring applications is demonstrated by experiments showing the method’s capability to demodulate slowly varying and quasi-static signals.
Frequency-Time 2D Matched Filter to reduce calibration time in Multifrequency Database CP-ΦOTDR
Authors: Vidal-Moreno Pedro J. , Fernández-Ruiz María R. , Martins Hugo , Martin-Lopez Sonia , Gonzalez-Herraez Miguel
Published: December 2024

Specific post-processing strategies allow to reduce calibration time in Multi-Frequency Database Demodulation CP-ΦOTDR systems. Calibration time has been reduced by a factor of 1000 times by utilizing a novel 2D filtering method, unlocking real-world applicability.
Combined frequency- and correlation-domain Brillouin analysis for static and dynamic strain measurements
Authors: Vallifuoco R. , Zeni L. , Minardo A.
Published: December 2024

We demonstrate a hybrid stimulated Brillouin scattering interrogation scheme, making use of an intensity- and frequency-modulated probe light. The system realizes static measurements at high spatial resolution, and position-selective dynamic measurements at high sampling rate.
Integrating Dual-Comb Interrogation and Neural Networks for Enhanced Optical CO2 Sensing using LPG Sensors
Authors: Coelho Diogo V. N. , Garcia-Souto Jose A. , Barino Felipe O. , dos Santos Alexandre B. , Acedo Pablo
Published: December 2024

This paper explores the integration of Long Period Grating (LPG) sensors, dual-comb instrumentation systems, and neural networks for advanced optical gas sensing. It tackles refractive index measurement challenges, temperature cross-sensitivity, and CO2 concentration estimation accuracy.
A Statistical Approach for Calibrating High Temperature Femtosecond-Laser Inscribed Fiber Bragg Grating
Authors: Jerez Manuel , Granado Joaquín , Carballar Alejandro
Published: December 2024

An end-to-end calibration method is proposed for high-temperature FBGs sensors working up to 700 Celsius. A fourth-order polynomial function reduces absolute measurement errors below 2.5 Celsius along the full operation range.
Novel travel time aware metapopulation models and multi-layer waning immunity for late-phase epidemic and endemic scenarios
Authors: Zunker Henrik , Schmieding René , Kerkmann David , Schengen Alain , Diexer Sophie , Mikolajczyk Rafael , Meyer-Hermann Michael , Kühn Martin J.
Published: December 2024

In the realm of infectious disease control, accurate modeling of the transmission dynamics is pivotal. As human mobility and commuting patterns are key components of communicable disease spread, we introduce a novel travel time aware metapopulation model. Our model aims to enhance estimations of disease transmission. By providing more reliable assessments on the efficacy of interventions, curtailing personal rights or human mobility behavior through interventions can be minimized. The proposed model is an advancement over traditional compartmental models, integrating explicit transmission on travel and commute, a factor available in agent-based models but often neglected with metapopulation models. Our approach employs a multi-edge graph ODE-based (Graph-ODE) model, which represents the intricate interplay between mobility and disease spread. This granular modeling is particularly important when assessing the dynamics in densely connected urban areas or when heterogeneous structures across entire countries have to be assessed. The given approach can be coupled with any kind of ODE-based model. In addition, we propose a novel multi-layer waning immunity model that integrates waning of different paces for protection against mild and severe courses of the disease. As this is of particular interest for late-phase epidemic or endemic scenarios, we consider the late-phase of SARS-CoV-2 in Germany. The results of this work show that accounting for resolved mobility significantly influences the pattern of outbreaks. The improved model provides a refined tool for predicting outbreak trajectories and evaluating intervention strategies in relation to mobility by allowing us to assess the transmission that result on traveling. The insights derived from this model can serve as a basis for decisions on the implementation or suspension of interventions, such as mandatory masks on public transportation. Eventually, our model contributes to maintaining mobility as a social good while reducing exuberant disease dynamics potentially driven by travel activities.
Neuro-cognitive multilevel causal modeling: A framework that bridges the explanatory gap between neuronal activity and cognition
Authors: Grosse-Wentrup Moritz , Kumar Akshey , Meunier Anja , Zimmer Manuel
Published: December 2024

Explaining how neuronal activity gives rise to cognition arguably remains the most significant challenge in cognitive neuroscience. We introduce neuro-cognitive multilevel causal modeling (NC-MCM), a framework that bridges the explanatory gap between neuronal activity and cognition by construing cognitive states as (behaviorally and dynamically) causally consistent abstractions of neuronal states. Multilevel causal modeling allows us to interchangeably reason about the neuronal- and cognitive causes of behavior while maintaining a physicalist (in contrast to a strong dualist) position. We introduce an algorithm for learning cognitive-level causal models from neuronal activation patterns and demonstrate its ability to learn cognitive states of the nematode C. elegans from calcium imaging data. We show that the cognitive-level model of the NC-MCM framework provides a concise representation of the neuronal manifold of C. elegans and its relation to behavior as a graph, which, in contrast to other neuronal manifold learning algorithms, supports causal reasoning. We conclude the article by arguing that the ability of the NC-MCM framework to learn causally interpretable abstractions of neuronal dynamics and their relation to behavior in a purely data-driven fashion is essential for understanding biological systems whose complexity prohibits the development of hand-crafted computational models.
Stigma among ebola disease survivors in Mubende and Kassanda districts, Central Uganda, 2022
Authors: Zalwango Marie Gorreti , Paige Sarah , Migisha Richard , Nakafeero Simbwa Brenda , Nsubuga Edirisa Junior , Asio Alice , Kabami Zainah , Zalwango Jane Frances , Kawungezi Peter Chris , Wanyana Mercy Wendy , King Patrick , Naiga Hellen Nelly , Agaba Brian , Zavuga Robert , Earle-Richardson Giulia , Kwesiga Benon , Bulage Lilian , Kadobera Daniel , Ario Alex Riolexus , Harris Julie R.
Published: December 2024

Ebola disease survivors often experience stigma in multiple forms, including felt (perceived) stigma, enacted (action-based) stigma, and institutional stigma. On September 20, 2022, Uganda declared a Sudan Virus Disease (species orthoebolavirus sudanense) outbreak after a patient with confirmed Sudan virus (SUDV) infection was identified in Mubende District. The outbreak led to 142 confirmed and 22 probable cases over the next two months. We examined the types of stigma experienced by survivors and their household members and its effect on their well-being. We conducted a qualitative study during January 2023 in Mubende and Kassanda Districts. We conducted in-depth and key informant interviews with ten SUDV disease survivors, ten household members of SUDV disease survivors, and ten key informants (district officials and health workers in the affected communities). Interviews were recorded, translated, transcribed, and analyzed thematically. Survivors reported experiencing isolation and rejection by community members and loss of work. They reported being denied purchases at shops or having their money collected in a basket and disinfected (enacted stigma), which led to self-isolation (felt stigma). Educational institutions denied admission to some students from affected homes, while parents of children in some affected families stopped sending children to school due to verbal abuse from students and teachers (structural stigma). Prolonged SUDV disease symptoms and additional attention to survivors from responders (including home visits by health workers, public distribution of support items, and conspicuous transport from home to the survivor’s clinic) were perceived as aggravating both felt and enacted stigma. Even after the outbreak had been declared over, survivors felt that they were still considered a threat to the community. Survivors experienced mainly enacted stigma which was aggravated by the outbreak response and control activities such as additional attention to survivors from responders. Strengthening community engagement to counteract stigma, rethinking response activities that aggravate stigma, integrated response interventions by partners, private distribution of support items, and increasing awareness and sensitization could reduce stigma among the Ebola disease survivors in future responses.