bluuebunny/crossref_metadata_2025 huggingface dataset:
Interpretation of well logs and core data via Bayesian inversion
Authors: Deng Tianqi , Ambía Joaquín , Torres-Verdín Carlos
Published: November 2022

Estimating in situ petrophysical and compositional properties of rocks (e.g., porosity, mineralogy, and fluid saturation) from well logs and core measurements is critical for the evaluation of subsurface fluid resources. Traditional multimineral analysis of well logs is susceptible to abnormal borehole and geometric conditions, such as shoulder-bed effects and tool/borehole-related biases. Moreover, traditional multimineral analysis rarely includes uncertainty quantification, much less assessments of the impact of measurement noise, borehole conditions, and/or inaccurate rock-physics models (RPMs) on estimated properties. Probabilistic formation evaluation with credible-interval estimations can improve the outcome of mineral and fluid evaluations from well logs by explicitly incorporating the effects of measurement biases and a priori compositional and petrophysical constraints in the estimation. A probabilistic workflow is developed to estimate petrophysical/compositional properties from well logs and available core data. The workflow consists of two sequential steps: borehole measurements (e.g., density, resistivity, and gamma ray) are first converted into a layer-by-layer earth model, which consists of piecewise constant property values, with associated uncertainty estimations. The estimated earth model is tool/borehole independent, allowing for a common baseline to effectively compare properties among neighboring wells. Next, the estimated earth-model physical properties are used to derive petrophysical properties (e.g., volumetric concentration of fluid and solid rock constituents) via petrophysical joint inversion. In each step, Bayesian inversion is implemented with Markov chain Monte Carlo sampling in contrast to deterministic algorithms used by traditional multimineral methods. The developed method has the following advantages over traditional approaches: (1) it propagates uncertainty from well logs to petrophysical properties by assimilating measurement noise, tool/borehole-related biases, and RPM errors and (2) it enables the implementation of a priori knowledge per rock class to constrain the petrophysical estimation, effectively integrating field-specific core/regional geologic data. Examples of thinly laminated and organic shale formations successfully verify the reliability, efficiency, and accuracy of our estimation method.
Magnetotelluric noise suppression via convolutional neural network
Authors: Li Jin , Liu Yecheng , Tang Jingtian , Ma Fanhong
Published: November 2022

It is well known that a magnetotelluric (MT) signal with high signal-to-noise ratio is an important prerequisite for correct interpretation of subsurface structures. However, MT signals collected in the environment of strong cultural noise often are of low data quality due to noise pollution, which seriously affects the accuracy of interpretation. As can be seen from the MT time-domain waveform, the noise is highly energetic, diverse, and random. This means MT denoising methods should have strong applicability to guarantee accurate and effective separation of MT signal from noise data. Therefore, we propose a deep-learning-based data nonlinear mapping method for MT signal-to-noise separation. First, this method focuses on learning the nonlinear mapping relationship between a large amount of noise data and the corresponding noise contour by using the convolutional neural network (CNN) in advance. Then, the mapping transformation of noise data to noise contour in the measured data is realized by CNN model. Specifically, based on the features of MT noise data, we construct a large amount of training data very close to it by mathematical functions. At the same time, we also select some of the measured data to be added to the training set. This not only expands the amount and diversity of the training set but also improves the adaptability of CNN when dealing with complex data. Finally, we evaluate the denoising performance of the proposed method in terms of time-domain waveforms, apparent resistivity-phase curves, and polarization directions before and after denoising. The processing results of the simulated data and the measured data collected in Luzong area have verified the feasibility and effectiveness of the proposed method in MT data denoising.
Uncertainty quantification of multimodal surface wave inversion using artificial neural networks
Authors: Yablokov Alexandr , Lugovtsova Yevgeniya , Serdyukov Aleksander
Published: November 2022

An inversion of surface wave dispersion curves (DCs) is a nonunique and ill-conditioned problem. The inversion result has a probabilistic nature, which becomes apparent when simultaneously restoring the S-wave velocity and layer thickness. Therefore, the problem of uncertainty quantification is relevant. Existing methods through deterministic or global optimization approaches of uncertainty quantification via posterior probability density (PPD) of the model parameters are not computationally efficient because they demand multiple solutions to the inverse problem. We have developed an alternative method based on a multilayer fully connected artificial neural network (ANN). We improve the current unimodal approach, which is known from publications, to multimodal inversion. We use Cox’s and Teague’s algorithm to determine optimal parameterization (number of layers) and the ranges of possible model parameters. We uniformly draw training data sets within estimated ranges and train the ANN. Saved ANN weights map the phase velocity DCs to values of the S-wave velocity and layers thickness. To estimate the uncertainties, we adapt the Monte Carlo simulation strategy, according to which the frequency dependent data noise and the inverse operator errors are projected onto the resulting velocity model. The inverse operator errors are evaluated by the prediction of the training data set. The proposed combination of surface wave data processing methods, configured with each other, provides a novel surface wave multimodal dispersion data inversion and uncertainty quantification approach. We first test our approach on synthetic experiments for various velocity models: a positive gradient velocity, a low-velocity layer, and a high-velocity layer. This is done considering unimodal inversion at first and then compared with the multimodal inversion. Afterward, we apply our approach to field data and compare the resulting models with the body S-wave processing by the generalized reciprocal method. The experiments indicate high-potential results — using ANN yields the possibility to accurately estimate the PPD of restored model parameters without a significant computational effort. The PPD-based comparison demonstrates the advantages of a multimodal inversion over a unimodal inversion. The trained ANN provides reasonable model parameters predictions and related uncertainties in real time.
Non-V600E/K BRAF Mutations in Metastatic Melanoma: Molecular Description, Frequency, and Effectiveness of Targeted Therapy in a Large National Cohort
Authors: Girod Manon , Dalle Stéphane , Mortier Laurent , Dalac Sophie , Leccia Marie-Thèrèse , Dutriaux Caroline , Montaudié Henri , de Quatrebarbes Julie , Lesimple Thierry , Brunet-Possenti Florence , Saiag Philippe , Maubec Eve , Legoupil Delphine , Stoebner Pierre-Emmanuel , Arnault Jean Philippe , Lefevre Wendy , Lebbe Celeste , Dereure Olivier
Published: November 2022

PURPOSE

Mitogen-activating protein kinase inhibitors (MAPKis) are largely used in V600E/K BRAF–mutated metastatic melanomas, but data regarding effectiveness of targeted therapy in patients with rare BRAF mutations and molecular description of these infrequent mutations are scarce.

PATIENTS AND METHODS

A multicenter study was conducted on patients with metastatic melanoma harboring a well-identified mutation of BRAF and enrolled from March 2013 to June 2021 in the French nationwide prospective cohort MelBase. The molecular BRAF mutation pattern, response to MAPKis when applicable, and survival data were analyzed.

RESULTS

Of 856 selected patients, 51 (6%) harbored a non-V600E/K BRAF mutation involving codons V600 (24 of 51, 47%; V600G 27.4%, V600R 15.6%), K601 (6 of 51, 11.7%), and L597 (4 of 51, 7.8%). An objective response to MAPKis either BRAF inhibitor (BRAFi) alone or combined with MEK inhibitor was achieved in 56% (353 of 631) of V600E/K, 58% (11 of 19) of non-E/K V600, and 22% (2 of 9) of non-V600 BRAF-mutated patients, with a median progression-free survival of 7.7, 7.8, and 2.8 months, respectively. Overall, objective response rate was higher with BRAFi + MEK inhibitor combination than with BRAFi in monotherapy for each subset.

CONCLUSION

Rare BRAF mutations are not anecdotal in the metastatic melanoma population. Although data interpretation must remain careful owing to the limited size of some subsets of patients, non-E/K V600 BRAF mutations seem to confer a high sensitivity to targeted therapy, whereas MAPKis seem less effective in patients with non-V600 BRAF mutations. However, this strategy may be used as an alternative option in the case of immunotherapy failure in the latter population.
SomaticIDH1Hotspot Variants in Chinese Patients With Pheochromocytomas and Paragangliomas
Authors: Li Minghao , He Yazhi , Pang Yingxian , Zhang Jing , Feng Yu , He Yao , Xu Xiaowen , Wei Yongbao , Zhong Dewen , Deng Wanglong , Wang Long , Yan Bin , Jiang Yazhuo , Xu Ning , Cai Hai , Wen Yanlin , Ning Jinzhuo , Liu Yujun , Gao Xin , Shan Zhongyan , Liu Longfei , Teng Xiaochun , Richter Susan , Jiang Jingjing
Published: November 2022

Context

IDH1 is a pheochromocytoma/paraganglioma (PPGL) susceptibility gene; however, its role, especially in the Chinese population, has not been characterized.

Objective

To determine the prevalence of somatic IDH1 hotspot variants in a large cohort of Chinese patients with PPGLs and to summarize associated phenotypes.

Methods

This retrospective cross-sectional study was based on a main cohort of 1141 patients with PPGLs from 2 tertiary-care centers in China. We included 50 cases with urinary bladder paragangliomas (UBPGLs), of whom 29 were part of the main cohort and 21 were from other centers. Two additional cases with IDH1 hotspot variants not part of the main cohort were also included for summarizing IDH1-associated phenotypes. Next-generation sequencing of tumor DNA was used to analyze a customized panel of genes.

Results

The overall prevalence of IDH1 hotspot variants in the main cohort was 0.5% (6/1141). Among those PPGLs without mutations in 15 common driver genes, the prevalence of IDH1 variants was 0.9% (4/455). When restricted to paraganglioma (PGL) without mutations, the prevalence reached 4.7% (4/86). Among UBPGLs, IDH1 hotspot variants accounted for 8% (4/50). Together, all 10 patients (9 PGLs and 1 pheochromocytoma) with IDH1 hotspot variants, including 3 females with concurrent EPAS1 hotspot variants, had apparently sporadic tumors, without metastasis or recurrence. There were 3 patients with biochemical data, all showing a non-adrenergic phenotype.

Conclusions

The somatic IDH1 hotspot variants cause PPGL development in some Chinese patients, especially among those apparently sporadic PGLs with a non-adrenergic phenotype and without mutations in major PPGL driver genes.
A comparison of odor plume-tracking behavior of walking and flying insects in different turbulent environments
Authors: Talley Jennifer L. , White Edward B. , Willis Mark A.
Published: November 2022

Many animals locate food, mates and territories by following plumes of attractive odors. There are clear differences in the structure of this plume-tracking behavior depending on whether an animal is flying, swimming, walking or crawling. These differences could arise from different control rules used by the central nervous system during these different modes of locomotion or one set of rules interacting with the different environments while walking on the surface versus flying or swimming. Flow speeds and turbulence that characterize the environments where walking and flying insects track plumes may alter the structure of odor plumes in an environment-specific way that results in the same control rules generating behaviors that appear quite different. We tested these ideas by challenging walking male cockroaches, Periplaneta americana, and flying male moths, Manduca sexta, to track plumes of their species' sex pheromones in low wind speeds characteristic of cockroach experimental environments, higher wind speeds characteristic of moth experimental environments, and conditions ranging from low to high turbulence. Introducing a turbulence-generating structure into the flow significantly improved the flying plume tracker's ability to locate the odor source, and changed the structure of the behavior of both flying and walking plume trackers. Our results support the idea that plume trackers moving slowly along the substrate may use the spatial distribution of odor, while faster moving flying plume trackers may use the timing of odor encounters to steer to locate the source.
Univariate and multivariate plasticity in response to incubation temperature in an Australian lizard
Authors: de Jong Madeleine J. , White Craig R. , Wong Bob B. M. , Chapple David G.
Published: November 2022

Environments, particularly developmental environments, can generate a considerable amount of phenotypic variation through phenotypic plasticity. Plasticity in response to incubation temperature is well characterised in egg-laying reptiles. However, traits do not always vary independently of one another, and studies encompassing a broad range of traits spanning multiple categories are relatively rare but crucial to better understand whole-organism responses to environmental change, particularly if covariation among traits may constrain plasticity. In this study, we investigated multivariate plasticity in response to incubation across three temperatures in the delicate skink, Lampropholis delicata, and whether this was affected by covariation among traits. At approximately 1 month of age, a suite of growth, locomotor performance, thermal physiology and behavioural traits were measured. Plasticity in the multivariate phenotype of delicate skinks was distinct for different incubation temperatures. Cool temperatures drove shifts in growth, locomotor performance and thermal physiology, while hot temperatures primarily caused changes in locomotor performance and behaviour. These differences are likely due to variation in thermal reaction norms, as there was little evidence that covariation among traits or phenotypic integration influenced plasticity, and there was no effect of incubation temperature on the direction or strength of covariation. While there were broad themes in terms of which trait categories were affected by different incubation treatments, traits appeared to be affected independently by developmental temperature. Comparing reaction norms of a greater range of traits and temperatures will enable better insight into these patterns among trait categories, as well as the impacts of environmental change.
Using colour pattern edge contrast statistics to predict detection speed and success in triggerfish (Rhinecanthus aculeatus)
Authors: van den Berg Cedric P. , Endler John A. , Papinczak Daniel E. J. , Cheney Karen L.
Published: November 2022

Edge detection is important for object detection and recognition. However, we do not know whether edge statistics accurately predict the detection of prey by potential predators. This is crucial given the growing availability of image analysis software and their application across non-human visual systems. Here, we investigated whether Boundary Strength Analysis (BSA), Local Edge Intensity Analysis (LEIA) and the Gabor edge disruption ratio (GabRat) could predict the speed and success with which triggerfish (Rhinecanthus aculeatus) detected patterned circular stimuli against a noisy visual background, in both chromatic and achromatic presentations. We found various statistically significant correlations between edge statistics and detection speed depending on treatment and viewing distance; however, individual pattern statistics only explained up to 2% of the variation in detection time, and up to 6% when considering edge statistics simultaneously. We also found changes in fish response over time. While highlighting the importance of spatial acuity and relevant viewing distances in the study of visual signals, our results demonstrate the importance of considering explained variation when interpreting colour pattern statistics in behavioural experiments. We emphasize the need for statistical approaches suitable for investigating task-specific predictive relationships and ecological effects when considering animal behaviour. This is particularly important given the ever-increasing dimensionality and size of datasets in the field of visual ecology.
Family relations involving foreigners: legal regulation in Russia
Authors: Marysheva Nataliya
Published: November 2022

The book (second edition) is a study of family legal relations involving foreigners, including judicial protection of rights. The legislative acts and international treaties in force in Russia concerning such relations, as well as the practice of their application, are summarized and analyzed. Foreign legislation and international treaties are affected.
The concept of family relations with a foreign element, sources of regulation, the effect of conflict of laws norms of family law, the legal status of foreigners, the establishment of the content of foreign legal norms, as well as the law to be applied to certain types of family relations (marriage, parent—child relations, adoption), and issues of consideration by courts of family cases involving foreigners - international jurisdiction, recognition and enforcement of foreign judgments, etc.
For specialists in the field of private international law, family law, international civil procedure, for employees of courts and other law enforcement agencies. The book can be used by teachers and students when studying courses in private international law and international civil procedure. It may be useful for citizens entering into family relations with foreigners.
Intellectual property law in the context of the development of new technologies.
Authors: Morgunova Elena , Shahnazarov Beniamin
Published: November 2022

The monograph is devoted to the problems of providing legal protection to the results of intellectual activity and means of individualization, their use and protection of rights to them in the context of modern challenges associated with the development of new information technologies, artificial intelligence, genomic technologies, etc. Considerable attention is paid to the comparative analysis of the legal regulation of these relations.
The publication is addressed to scientists, teachers, graduate students, law students and anyone interested in intellectual property issues.
Legal regulation of the digital national payment system of the Russian Federation
Authors: Homenko Elena
Published: November 2022

The textbook is devoted to a currently relevant problem — the analysis of digital transformations in the modern national payment system and payment systems as its structural elements. The textbook reveals the features of the construction of the NPS of Russia, the range of its subjects, the relationship with the banking system of our state and the banking systems of a number of foreign countries. The features of the functioning of the payment system of the Bank of Russia are analyzed, its high importance in the field of settlements is shown
, taking into account the new digital technologies being introduced. The advantages of using modern technologies and tools are highlighted, as well as the associated new serious risks affecting the interests of consumers of payment services, including individuals.
For students of the master's degree level, postgraduates, teachers of law and economics universities and faculties, entrepreneurs and practicing lawyers, as well as for anyone interested in the specifics of building the NPS of Russia in the conditions of digitalization.
The legal status of a person and a citizen in a changing world
Authors: Postnikov A.
Published: November 2022

The monograph solves two interrelated tasks: the theoretical definition of the modern content of the constitutional and legal status of the individual in our country in the context of the development of constitutional legislation, international law and the experience of legal regulation in foreign countries; the establishment of the most significant trends in the development of the legal status of the individual, causing changes in constitutional doctrine, legislation and law enforcement practice.
The role of constitutional legislation in the realization of constitutional rights and freedoms of citizens is analyzed. Particular attention is paid to the problem of the existence of "parallel" regulation and personality at the level of the Constitution and current legislation. The issues of the influence of regional legislation on the development of the constitutional and legal status of the individual are considered separately. It is shown that different regulatory approaches are applied in this regard in different subjects of the Federation. Taking into account the fact that the legal status of an individual, along with rights and freedoms, is also formed by the duties of an individual, the essence and directions of the development of institutions of duties and responsibility are revealed.
For readers interested in modern problems of constitutionalism, human rights and their protection.
Pathway to zero surgical site infections
Authors: Low Daniel
Published: November 2022

Surgical site infections (SSIs) lead to patient morbidity and mortality, have a significant financial impact, and have an indirect impact on the veterinary team. Measures can be taken preoperatively, intraoperatively, and postoperatively to minimise the incidence of SSIs. Individual interventions may not be clinically or statistically significant in themselves. A care bundle approach may be used to drive down rates of SSI. The evidence base is variable and the interventions may apply differently in different healthcare settings; further high-quality veterinary-specific evidence needs to be generated. Human factors and staff culture also play a role in prevention of SSI. The recommendations made in this article come from the evidence and from an advisory board held by Ethicon.
Practical approach for optimizing off-axis telecentric digital holographic microscope design
Authors: Jin Lei , Yu Ziyang , Au Aaron , Yip Christopher M.
Published: November 2022

Digital holographic microscopy (DHM) has become an attractive imaging tool for the analysis of living cells and histological tissues. Telecentric DHM (TDHM) is a configuration of DHM that reduces the computational demands througha prioriaberration corrections. However, TDHM requires a well-aligned optical pipeline to optimize its resolution and image quality (IQ), which has traditionally complicated the alignment process. Derived from optical interference functions, we offer here a set of methodologies to simplify TDHM design and alignment by determining the optimal+1-order position, which depends on the object-reference beam angle and the interference plane rotation angle. The methods are then experimentally tested and verified on a TDHM system by imaging living HeLa cells in suspension.
Photoluminescence Creation in CYTOP Optical Fiber by Femtosecond Laser Direct Writing
Authors: Que R. , Houel-Renault L. , Temagoult M. , Lancry M. , Kalli K. , Poumellec B.
Published: November 2022

Spatial-selective photoluminescence in visible range was induced in the core of CYTOP fibers by femtosecond laser direct writing. This implemented optical property may have potential applications for luminescence-based fiber sensing for biomedical and environmental fields
Understanding Optimal Regeneration
Authors: Bhattacharya S. , Biswas P. , Canning J. , Bandyopadhyay S.
Published: November 2022

The peak strength of regenerated gratings is found to be maximum around a certain temperature. The underlying transformations and their mechanisms can be frozen in at any stage during regeneration by rapid cooling of fibre.
Biosensing Using Optical Fibers: Perspectives and Challenges
Authors: Chiavaioli Francesco , Baldini Francesco , Giannetti Ambra
Published: November 2022

Fiber optics as a special class of guided-wave optics represents a promising, effective and high-performance tool to develop a biosensor with high sensitivity and low limit of detection in the measurement of refractive index changes.
Fiber Bragg grating in photonic crystal fiber for plasmonic cladding mode-based biodetection of HER2 protein
Authors: Rusyakina Olga , Baghdasaryan Tigran , Loyez Médéric , Chah Karima , Mergo Pawel , Thienpont Hugo , Caucheteur Christophe , Berghmans Francis , Geernaert Thomas
Published: November 2022

We report on the use of cladding mode resonances excited via a straight fiber Bragg grating into a photonic crystal fiber for plasmon-enhanced detection of the HER2 protein with a threshold concentration of 8.6 nM.
Tunable Mid-infrared Fiber Laser Based on fs-written FBGs in Fluoride Fibers for Methane Sensing
Authors: Michaud Louis-Charles , Boilard Tommy , Magnan-Saucier Sébastien , Vallée Réal , Bernier Martin
Published: November 2022

We report a tunable all-fiber dysprosium laser operating near 3240.5 nm for precise remote sensing and imaging of methane. The tunablity is achieved by applying a mechanical or thermal stress to the HR-FBG controlling the wavelength of emission.
Characterization of femtosecond laser micromachined fiber in-line pressure sensor for simultaneous measurement of high temperature and pressure
Authors: Tomboza Wendy , Cotillard Romain , Roussel Nicolas , Huy Minh Chau Phan , Bouwmans Géraud , Laffont Guillaume
Published: November 2022

A Fabry-Pérot interferometer and Fiber Bragg Grating based fiber optic pressure sensor for the measurement of temperature (up to 900 °C, at room pressure) and pressure (up to 90 bar, at room temperature) is proposed.
Phase demodulation of SPR-TFBG for refractometry via Jones formalism
Authors: Fasseaux Hadrien , Loyez Médéric , Chah Karima , Caucheteur Christophe
Published: November 2022

Optical phase difference between orthogonally polarized modes induced by a gold-coated tilted fiber Bragg grating sensor is extracted from the Jones’s formalism. We provide a phase analysis of slight refractive index variations in aqueous solutions.
2D Holographic Transmission Gratings UV Written in a Suspended Silica Membrane
Authors: Gow Paul C. , Jantzen Alexander , Ahmed Q. Salman , Field James W. , Holmes Christopher , Gates James C. , Smith Peter G.R.
Published: November 2022

Bragg gratings were written into planar doped-silica membranes with a 213nm laser. These were written over large areas using cylindrical lenses, and the resulting gratings and diffraction orders were investigated.
Implementation of Embedded Antenna Functions using Periodic Bessel Nanovoids Photo-Written in Bulk Glass by Ultrafast Laser
Authors: D’Amico Ciro , Zhang Guodong , Martin Guillermo , Bondouelle Myriam , Morand Alain , Cheng Guanghua , Stoian Razvan
Published: November 2022

Nondiffractive ultrafast-laser-writing of scattering centers organized as groups of close periodic elongated nanovoids (antennas) in bulk glasses is demonstrated being a good solution for accessing the spectral information of optical signals transported in embedded waveguides.
Ultrashort Pulse Written Waveguides in Silicon
Authors: Nolte Stefan , Alasgarzade Namig , Alberucci Alessandro , Blothe Markus , Jisha Chandroth P. , Matthäus Gabor , Chambonneau Maxime
Published: November 2022

We report on the inscription of waveguides in the bulk of crystalline silicon using infrared ultrashort laser pulses. The waveguides are characterized with respect to their structure, refractive index profile and guiding properties in detail.
Continuous Optical Fiber Gratings for Distributed Sensing
Authors: Kremp Tristan , Westbrook Paul S. , Feder Kenneth S. , Ko Wing
Published: November 2022

Recent progress in the design, fabrication and analysis of very long continuous Bragg gratings in single and multicore fibers for distributed acoustic and shape sensing is presented, with applications ranging from railway monitoring to surgery.
Investigation on Volume Bragg Gratings in Athermal Glass by Femtosecond Phase Mask Inscription
Authors: Richter Daniel , Siems Malte P. , Goebel Thorsten A. , Krämer Ria G. , Nolte S.
Published: November 2022

We demonstrate the first reflective VBGs in an athermal glass inscribed by ultrashort laser pulses. Grating properties are investigated and compared with theoretical predictions concerning their insensitivity to ambient temperature changes.
Optical Parametric Oscillator Based on Tantalum Pentoxide Waveguides
Authors: Timmerkamp Maximilian , Lüpken Niklas M. , Abazi Shiqiprim Adrian , Bankwitz Julian Rasmus , Schuck Carsten , Fallnich Carsten
Published: November 2022

We demonstrate a waveguide-based OPO exploiting the emerging Ta2O5 platform and investigate its feasibility for integration. Pumped synchronously at 1.55 µm wavelength, the OPO provided up to 6 pJ pulse energy, tunable by ±20 nm around 1.46 µm wavelength.
Optical Parametric Oscillator Based on Silicon Nitride Waveguides
Authors: Gao Ming , Lüpken Niklas M. , Boller Klaus-J. , Fallnich Carsten
Published: November 2022

We demonstrate a synchronously pumped Si3N4 waveguide-based optical parametric oscillator, achieving a tuning range of 95 nm around 1.1µm, up to 69 pJ on-chip output energy with an external conversion efficiency of -12.45 dB.
A Hybrid Quantum Computer for Quantum Finance Computation of Monte-Carlo Distribution
Authors: Zhan Y. C. , Zhang H. , Wan L. X. , Karim M. F. , Cai H. , Kwek L. C. , Liu A. Q.
Published: November 2022

A quantum generative adversarial network with the genetic algorithm is demonstrated for quantum finance distribution loading. The hybrid quantum computer implemented by a fabricated quantum photonic chip shows its capability of generating distribution precisely.
Tunable dispersive waves from wave breaking
Authors: Castello-Lurbe David
Published: November 2022

Conditions leading to self-frequency shift of dispersive waves emitted from wave breaking are analytically derived based on the dynamics of the dispersive and nonlinear length scales.
Small-Spot Direct UV Written Fiber Bragg Gratings in Index-Guiding Photonic Crystal Fiber
Authors: Flint Alex I. , Smith Will. , Bannerman Rex H.S. , Smith Devin H. , Davis Alex O.C , Gates James C. , Mosley Peter J. , Smith Peter G.R
Published: November 2022

A method for the UV writing of Bragg gratings in germanium doped photonic crystal fiber is presented. This technique uses small-spot direct UV writing to generate transmission spectra at 1550nm.
Studies of the Effects of Intense Ionizing Radiation on Optical Fibers and Fiber Bragg Gratings
Authors: Berkovic G. , Zilberman S. , London Y. , Dadon M. , Shafir E. , Alefe M. , Ben Meir K. , Krakovich A. , Makmal T.
Published: November 2022

Optical fibers and gratings were exposed to intense ionizing radiation in a research-grade nuclear reactor. Radiation induced attenuation, and changes in Rayleigh scattering (fibers) and Bragg wavelengths (gratings) were monitored in real time.
Efficiency of UV-written out-of-plane gratings for beam delivery on quantum chips
Authors: Ko Dong-Woo , Ahmed Q. Salman , Field James W. , Gates James C. , Horak Peter
Published: November 2022

We analyze analytically and numerically the efficiency of UV-written tilted Bragg gratings for optical beam delivery from integrated waveguides towards atom or ion clouds trapped above the chip for quantum technology applications.
Image Sensing with Nonlinear Optical Neural Networks
Authors: Sohoni Mandar M. , Wang Tianyu , Wright Logan G. , Onodera Tatsuhiro , Stein Martin M. , Ma Shi-Yuan , Anderson Maxwell , McMahon Peter L.
Published: November 2022

We demonstrate a multilayer optical-neural-network image encoder realized using optoelectronic, optical-to-optical nonlinear activations. We show that nonlinear preprocessing in the optical domain can enable machine-vision systems that operate faster and more sensitively.
Hybrid Silicon Nitride-Thin Film Lithium Niobate Based Efficient Grating Coupler
Authors: Sain Priyank , Talabattula Srinivas , Hegde Gopalkrishna
Published: November 2022

An alternate way of designing a grating coupler on X cut thin film LNOI-Si3N4 based platform is proposed considering the contamination and fabrication issues in CMOS fabrication facility. The coupling efficiency of 44% at 1550nm and 3dB bandwidth of 45nm is obtained for X cut Y propagation Lithium Niobate.
Towards the full integration of Silicon Photonic Chip for Deep Neural Networks
Authors: Beyene Yonatan , Peserico Nicola , Ma Xiaoxuan , Sorger Volker J.
Published: November 2022

Neural networks are taking a central role, while the integration of novel technologies has lacked. Here we present an integration of Silicon Photonic chip MVM into a stand-alone PCB, aiming at the photonic “black-box” integration.
Probabilistically Shaped DP-144QAM Transmission over 50-km of SSMF Using SHD and Large-Linewidth DFB
Authors: Yang Min , Yan Guofeng , Zheng Shuo , Zhu Yanjun , Zhang Hua , Yao Chaonan , Shao Yuchen , Wang Jian
Published: November 2022

We report experimental results of probabilistically-shaped DP-144QAM transmission over 50km of SSMF. Tolerance to 1-MHz laser linewidth and significant performance gain over uniform DP-144QAM are achieved, thanks to self-homodyne detection.
High-speed Long-hual Probabilistic Shaped QAM Quantum Noise Stream Cipher Transmission
Authors: Sun Jihui , Jiang Lin , Yan Lianshan , Yi Anlin , Feng Jiacheng , Pan Wei , Luo Bin
Published: November 2022

An 82.8-Gbit/s probabilistic-shaped QAM quantum noise stream cipher (QNSC) transmission system has been demonstrated over 520-km. Experimental results show it can achieve an improvement of ~170-km compared with traditional QNSC scheme under 7%FEC threshold.
Experimental observation of multiple Tamm-modes in 1D-chirped photonic crystal
Authors: Sharma Shailja , Das Ritwick
Published: November 2022

We observed multiple optical Tamm states (OTSs) in a composite metallo-dielectric one-dimensional chirped photonic crystal (CPC) which is designed to facilitate adiabatic coupling between forward and backward-propagating modes.
Boosting Surface-Enhanced Raman Scattering by Ultrathin Golden Film on Bio-Photonic Crystals
Authors: Gilic Martina , Ghobara Mohamed , Reissig Louisa
Published: November 2022

Hybrid substrates based on three structurally distinct diatom biosilica coated with ultrathin uniform gold were utilized in SERS. The comparative analysis showed that substrates containing cylindrical Aulacoseira sp. valves achieved the enhancement up to 8-folds.
Enhancement of Nonlinear Optical Phase Shift of Blood Plasma with Iron Nano-colloids in the Z-scan Technique
Authors: Chowdhury Mustabi Mustafa , Haque Yasmeen , Hoque Md. Enamul
Published: November 2022

In this work, we utilized Iron (Fe) nano-colloids to enhance the nonlinear optical responses of blood plasma using the Z-scan Technique. The mean size of the prepared Fe NPs is approximately 38.8nm observed in FE-SEM.
Deep physics prior for optical diffraction tomography
Authors: Saba Amirhossein , Gigli Carlo , Ayoub Ahmed B. , Psaltis Demetri
Published: November 2022

We propose a physics-informed neural network for the scattering problem from biological samples. We use this network as a forward model in an optimization task for optical diffraction tomography to reconstruct the refractive index distribution.
Single-shot full-color holography with sunlight
Authors: Tahara Tatsuki
Published: November 2022

Single-shot full-color holography with sunlight is presented. Single-shot phase-shifting incoherent and conoscopic holography, a minification system, and a color polarization-imaging camera are adopted for single-shot spatially incoherent full-color 3-D imaging of an outdoor scene.
Fine Analysis of Spread Platelets from Healthy and Pathological Human Blood Samples through Automatic Measurement in Digital Holographic Microscopy
Authors: Dohet-Eraly Jérôme , Boudjeltia Karim Zouaoui , Rousseau Alexandre , Desmet Jean-Marc , Yourassowsky Catherine , Dubois Frank
Published: November 2022

Studying thrombocytes is crucial in cardiovascular disorders. This method uses digital holographic microscopy with specific correlation-based hologram processing for automatically detecting and measuring spread platelets. A statistical validation is provided, comparing dialyzed and healthy donors.
Matrix approach of optical microscopy applied to 3D imaging of biological tissues
Authors: Balondrade Paul , Barolle Victor , Boccara Claude , Fink Mathias , Aubry Alexandre
Published: November 2022

We report on a reflection matrix approach of optical microscopy that pushes back the fundamental limit of aberrations and multiple scattering. This allows an in-depth diffraction-limited imaging of biological media over a wide field-of-view.
Ultrafast, Memory-Less Computation and Rewriting of Complex Holograms in the Opto-Magnetic Medium
Authors: Makowski M. , Bomba J. , Sypek M. , Shimobaba T. , Ito T. , Stupakiewicz A.
Published: November 2022

The novel scheme of serial, memory-less computation, storing and refreshing of complex computer-generated holograms is demonstrated in transparent ultra-fast opto-magnetic medium exhibiting threshold effect, allowing sub-diffraction limited, point-by-point recording of diffractive fringes with picosecond response.
Ghost Diffraction Scheme with Spatially Fluctuating Fields
Authors: Manisha  , Tiwari Vipin , Bisht Nandan S , Das Bhargab , Singh Rakesh Kumar
Published: November 2022

We present a ghost diffraction scheme with spatially fluctuating fields. This is implemented by replacing ensemble average with spatial average rather than temporal average as used in conventional ghost diffraction schemes.
Digital Volume Reflection Holography: Analysis of Diffraction Efficiency
Authors: Qissi Saleha , Banerjee Partha P.
Published: November 2022

Wavelength-multiplexed digital volume reflection holograms are derived from respective simulated transmission holograms. Dependence of diffraction efficiency during reconstruction on incident angle of the reading beam, volume grating thickness and wavelength is studied using coupled-wave theory.
Sub-nanometer optical measurements on cell-sized objects.
Authors: Asgari Pegah , Dogru-Yuksel Itir Bakis , Blab Gerhard A. , Gerritsen Hans. C. , Mosk Allard P.
Published: November 2022

In this work, using a custom-built Spectral-domain optical coherence tomography microscopy setup we measured expansion caused by heat dissipation during fluorescence emission in dye-doped polystyrene microspheres with 70 pm sensitivity.
Accurate Aberration Compensation Using Programmable Multiplexed Grating Patterns
Authors: Pathak Biswajit
Published: November 2022

Here, we propose a programmable multiplexed grating-based wavefront sensor (MGWS) to compensate for the presence of large number of aberration modes in the incident wavefront significantly and simulation results are included to validate our research findings.
Phase Extracting Imaging by Stacking Defocus Transport of Intensity Equation
Authors: Plaipichit Suwan , Visessamit Jakkapol , Wicharn Surawut , Buranasiri Prathan
Published: November 2022

The investigation of cells was performed using TIE. The phase imaging using a stack of low defocus intensity images has shown better results of the cell edge and shape comparing with the traditional one.
Augmented reality 360-degree cylindrical display
Authors: Park Moonseong , Jung Minwoo , Jeon Hosung , Heo Daerak , Hahn Joonku
Published: November 2022

Previous cylindrical light field display provides a 3D effect regardless of the viewer’s position, but it has a limit to the see-through application. We propose a cylindrical light field display using holographic optical elements (HOE).
Silicon-Germanium Integrated Ring Resonator with High Q-factor in the Mid-Infrared
Authors: Perestjuk Marko , Armand Rémi , Torre Alberto Della , Sinobad Milan , Mitchell Arnan , Boes Andreas , Hartmann Jean-Michel , Fedeli Jean-Marc , Reboud Vincent , Monat Christelle , Grillet Christian
Published: November 2022

We demonstrate a high-Q ring resonators in the mid-infrared in a silicon-germanium chip-based platform. The achieved a loaded Q-factor of 90,000 for the side-coupled ring around 4.18µm operating wavelength.
Electro-Optic Single Photon Source based on a Superconducting and Optical X(2) Material Platform
Authors: Ulrich Anja , De Greve Kristiaan , Haffner Christian
Published: November 2022

A single-photon source based on a superconducting qubit as an artificial atom and nonlinear optical readout via sum-frequency generation is presented. The analysis done via master equation and Quitp suggest efficiencies of 98% and g(2)(0)=5e-5.
A MEMS-Tunable Polarization Rotator for PICs
Authors: Pruessner Marcel W. , Stievater Todd H. , Tyndall Nathan F. , Kozak Dmitry A. , Rabinovich William S.
Published: November 2022

We describe a micromechanically-tunable polarization rotator for photonic integrated circuits. A suspended micro-mechanical (MEMS) beam enables symmetry-breaking mode perturbation and polarization rotation. Vertical actuation results in tunable rotation over 90 degrees and full TE-TM conversion.
Compact Adiabatic Bezier Shaped Waveguide S-bends with 3D Direct Laser Writing in Polymer
Authors: Baghdasaryan Tigran , Vanmol Koen , Thienpont Hugo , Berghmans Francis , Geernaert Thomas , Van Erps Jürgen
Published: November 2022

We designed, fabricated and characterized low loss and polarization independent waveguide Bezier-shape S-bends. We optimized the shape parameter to obtain the shortest length for a given S-bend offset.
Integrated photonics for super-resolution microscopy
Authors: Tinguely Jean-Claude , Opstad Ida S. , Acuña Sebastián , Villegas-Hernandéz Luis E. , Dubey Vishesh , Strohl Florian , Agarwal Krishna , Ahluwalia Balpreet S.
Published: November 2022

Optical waveguide chips are shown as an alternative to far-field optics for the excitation of biological microscopy samples, with high refractive index materials and photonic circuits pushing the boundaries of conventional super-resolution optical microscopy implementations.
Phase-Programmable Gaussian Boson Sampling Using Stimulated Squeezed Light
Authors: Zhong Han-Sen , Deng Yu-Hao , Qin Jian , Wang Hui , Chen Ming-Cheng , Peng Li-Chao , Luo Yi-Han , Wu Dian , Gong Si-Qiu , Su Hao , Hu Yi , Hu Peng , Yang Xiao-Yan , Zhang Wei-Jun , Li Hao , Li Yuxuan , Jiang Xiao , Gan Lin , Yang Guangwen , You Lixing , Wang Zhen , Li Li , Liu Nai-Le , Renema Jelmer J. , Lu Chao-Yang , Pan Jian-Wei
Published: November 2022

We report Gaussian boson sampling experiments which produce up to 113 photon detection events out of a 144-mode photonic circuit. We reveal genuine high-order correlation our samples, which is evidence of robustness against classical simulation.
Heterogeneous III-V Nanowire Lasers and Quantum Dot Emitters on Silicon Photonic Circuits
Authors: Schmiedeke Paul , Mukhundhan Nitin , Thurn Andreas , Ajay Akhil , Stettner Thomas , Bissinger Jochen , Jeong Hyowon , Schreitmüller Tobias , Zöllner Jona , Finley Jonathan J. , Koblmüller Gregor
Published: November 2022

Recent progress in III-V nanowire (NW) light sources integrated onto Si (quantum) photonic circuits is presented, illustrating key results for low-threshold vertical-cavity NW-lasers and integrated NW-quantum emitters with efficient light coupling to Si waveguides.
The Tunable Microwave Frequency Comb Generation Using a Si3N4-MDR-based AML-OEO
Authors: Liu Pengcheng , Yun Binfeng
Published: November 2022

A tunable microwave frequency comb generator using a Si3N4-MDR-based OEO is proposed and experimentally demonstrated. The results show that the frequency tuning range of the MFC is from 2 to 22 GHz.
Plug-and-Play Quantum Light Sources with Efficient Fiber-Interfacing Quantum Dots
Authors: Jeon Woong Bae , Moon Jong Sung , Kim Kyu-Young , Ko Young-Ho , Richardson Christopher J. K. , Waks Edo , Kim Je-Hyung
Published: November 2022

We demonstrate efficient fiber-interfacing photonic devices based on hole gratings producing a narrow directional beam that directly launch single photons from quantum dots into a standard single-mode fiber by matching the numerical aperture.
Electro-optically Tunable Laser for High-speed Wavelength-switching Optical Systems
Authors: Ueda Yuta
Published: November 2022

A tunable laser with its lasing wavelength tuned by the electro-optic effect was developed. In addition to a low-tuning power dissipation and narrow linewidth, the laser exhibits a nanosecond-scale wavelength switching time, which will contribute to next-generation optical systems using dynamically controlled laser wavelengths.
Graphene-based integrated plasmonic sensor with application in biomolecule detection
Authors: Saadatmand Seyedeh Bita , Haji Najafi Chemerkouh Mohammad Javad , Ahmadi Vahid , Hamidi Seyedeh Mehri
Published: November 2022

Much effort is being made to improve the performance of the techniques currently used
to detect biomolecules. One of the new fields that has attracted the
attention of researchers is the use of graphene-based surface plasmon
resonance (SPR), a real-time, label-free technique. In this field,
there is still a need to introduce low-cost sensors that offer higher
sensitivity. In this paper, to reduce the cost to fabricate the
grating for phase matching, we use a low-cost 1D grating extracted
from a digital video disc (DVD) without any lithography process. In
addition, to improve the performance of the graphene-based SPR sensors
after describing the plasmonic response, we use the surface plasmon
enhanced by ellipsometry as a strong and sensitive characterization
method. Using

Ψ

can help enhance the quality factor
of the 2D materials-based SPR biosensor and the study of the delta
parameter leads to a significant improvement in the sensitivity and
minimum detectable concentration. The response of the delta parameter
indicates that a slight change in miRNA-21 concentration, about 30 fM,
leads to a sensitivity of 44.4 deg/100 fM, which is a
significant change in the delta parameter. The results show that if
appropriate complementary bioreceptors for the target’s
biomolecules are used, the proposed sensor is attractive for use in
biodetection and to measure a very small concentration of
biomolecules.
Increasing Capacity of Installed Fiber Links by Wideband Optical Amplification
Authors: Rapp Lutz
Published: November 2022

Increasing the capacity of installed fiber links by extending the available optical bandwidth appears attractive from an economical point of view, but entails performance degradation. Resulting limitations in view of link capacity are investigated.
Coexistence of OTN and VCSEL-based DMT Channels for Multi-Tb/s Transmission in Metropolitan Area Networks
Authors: Parolari Paola , Gatto Alberto , Lipparini Federico , Morea Roberta , Parisi Giuseppe , Parladori Giorgio , Neumeyr Christian , Boffi Pierpaolo
Published: November 2022

We demonstrate the coexistence of 100G-200G OTN channels with a novel transmitter technology based on directly modulated VCSELs exploiting DMT. Multi-Tb/s transmission is achieved in links typical of the metro network.
Realizing Pb/s IO with Silicon Photonic Chiplets
Authors: Rizzo Anthony , Bergman Keren
Published: November 2022

We outline recent efforts to realize Pb/s optical IO using heterogeneously integrated silicon photonics. Preliminary demonstrations ranging from device- to system-level validate our approach and present an appealing path towards achieving petabit-scale escape bandwidths.
Mitigation of Nonlinear Effects in Optical Communications using Digital and Optical Techniques
Authors: Ellis A.D. , Ali A.A.I. , Tan M. , Salgado N. , Sygletos S.
Published: November 2022

We discuss theoretical limits to nonlinearity compensation (2dB lower than a 50% boost in SNR measured in dB) and experimental progress towards achieving these limits.