jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: M. Lubrano | Elin Samuelsson | Alexandre Filiot | R. Dubois | Koutsikos John | Donald J. Jacobs | Alan F. Lyon | Lydwine Van Praet | Corentin Wiscart | A. Fouillet | C. Genestie | Tong Wang | Jonathan J. Morrison | J. Hernandez-Losa | Frederik Deman | J-F. Flejou | Gürsah Kats‐Ugurlu | S-F. Kammerer-Jacquet | Brian O’Sullivan | Katharina von Loga
Source: Annals of Oncology (article, 2025-09-01)
Field: Materials Science — Materials Chemistry

1756eP Towards achieving full MSI reflex testing in CRC, GC and EC: An efficient and streamlined approach using deep learning Deep learning ; Reflex ; Deep brain stimulation ; Deep neural networks ; Pattern recognition (psychology) Machine Learning in Materials Science ; Cardiac Imaging and Diagnostics ; Epilepsy research and treatment
Authors: Hyo Nam Jeon | Shun‐ichi Ishiuchi | Masaaki Fujii | Hyuk Kang
Source: Bulletin of the Korean Chemical Society (article, 2025-11-09)
Field: Chemistry — Spectroscopy

<scp>UV</scp> and <scp>IR</scp> spectroscopy of singly protonated <scp>DIYETDYYR</scp> , a tryptic peptide from the regulatory loop of insulin receptor Abstract DIYETDYYR is a tryptic peptide from the regulatory loop of insulin receptor, which has the three tyrosine residues need for activation of the protein. In order to spectroscopically differentiate the tyrosine residues, singly protonated DIYETDYYR and its phenylalanine‐substituted analogs were studied by cryogenic ion spectroscopy. By comparing the UV absorption of the peptide at room temperature with those of phenylalanine‐substituted ones, the second and the third tyrosine residues showed UV absorption between 35 000 and 35 200 cm −1 , while the first tyrosine residue did not. Comparing the infrared (IR) spectra of the peptides at cryogenic temperature, the second tyrosine residue was found to have a hydrogen‐bonded phenolic OH. The IR spectra were explained by density‐functional‐based tight‐binding calculations. The structure of DIYETDYYR was tentatively assigned to the one with a hydrogen bond between the second tyrosine and the C‐terminus. Tyrosine ; Protonation ; Residue (chemistry) ; Peptide ; Hydrogen bond ; Infrared spectroscopy ; Spectroscopy Mass Spectrometry Techniques and Applications ; Spectroscopy and Quantum Chemical Studies ; Chemical Synthesis and Analysis
Authors: Khalil Ahmad | ASSAD FAROOQ | NAYAB KHAN | Muhammad Awais | Fiaz Hussaın
Source: Tekstil ve Mühendis (article, 2025-12-30)
Field: Materials Science — Polymers and Plastics

OPTIMIZING FIBER TO ROLLER INTERACTION, FINISHER SPEED AND LEVELLING ACTION POINT VIA SPECTROGRAM ANALYSIS FOR IMPROVED YARN QUALITY The main objective of the present research is to improve yarn quality by improving yarn evenness and strength while increasing the finisher speed. In this study, using spectrogram analysis, the drafting wave behavior in the finisher sliver was examined on the RSBD-35 drawing frame. The polyester-cotton blend (80:20) was developed at the varying delivery speeds (400, 500, and 600 meter/min) drawing frame to evaluate changes in sliver evenness and yarn characteristics. Based on the spectrogram analysis, the processing parameters were optimized and the sliver for the yarn preparation was developed at drawing frame at the optimized leveling action point (LAP; 984 mm) and 65.5 grains/yards. The yarn of 30/1 (Ne) was developed from the prepared sliver using the conventional ring spinning process. The coefficient of variation of mass (CV%) of the prepared sliver samples was determined by the UsterTester-3 (UT-3). The fineness/count (Nec) of the prepared samples was determined by following the standard test method ASTM-D1907. The quality parameters of the yarn including thick imperfection index (IPI;), U%, CV%, hairiness were determined by UsterTester by following the standard test method (ASTM D1425). The results indicated that increasing the finisher speed (600 m/min) reduced the LAP (984 mm) for PC yarn without compromising yarn quality indicators; U% (9.63), CV% (12.22), IPI (133), hairiness (4.27), and strength (CLSP: 4953). These results demonstrate the effectiveness of optimizing draw frame parameters in balancing productivity with yarn quality. Yarn ; Spinning ; Point (geometry) ; Frame (networking) ; Fiber ; Quality (philosophy) Textile materials and evaluations ; Dyeing and Modifying Textile Fibers ; Research in Cotton Cultivation
Authors: Dongni Hu
Source: Science Engineering and Technology Proceedings (article, 2025-06-02)
Field: Materials Science — Surfaces, Coatings and Films

Evolution and Trends in the Electron Microscopy Data Bank Cryo-electron microscopy (cryo-EM) and cryo-electron tomography (cryo-ET) have transformed structural biology by enabling the visualization of biological macromolecules at near-atomic resolution. Since its establishment in 2002, the Electron Microscopy Data Bank (EMDB) has played a pivotal role in this “Resolution Revolution,” serving as a central repository for cryo-EM data. Over the past decade, major advances in detector technology, image processing, and analytical methodologies have led to a surge in cryo-EM structure depositions. This study provides a comprehensive analysis of temporal trends in the EMDB, highlighting the growing number of entries, improvements in resolution, and the evolution of detector usage. It emphasizes the rise of single-particle analysis (SPA) as the dominant cryo-EM technique and examines how high-resolution detectors have enhanced data quality. Additionally, it explores resolution standards across leading scientific journals, underscoring the role of EMDB not only as a data archive but also as a catalyst for innovation in structural biology. Electron microscope ; Microscopy ; Materials science ; Physics ; Optics Electron and X-Ray Spectroscopy Techniques ; Advanced Electron Microscopy Techniques and Applications
Authors: Shouzheng Zhu | C. Wang | Yangyang Zhang | Wenhang Yang | Xu Liu | Yang Liu | Senyuan Wang | Tongxu Zhang | Xin He | Chen Hu | Siliang Li | Cui Zhao | Yuwei Chen | Chunlai Li | Jianyu Wang
Source: Remote Sensing (article, 2025-11-07)
Field: Chemistry — Spectroscopy

Simulation Analysis of Unmanned Aerial Vehicle-Based Laser Remote Sensing for Methane Point Source Traceability and Leakage Quantification Current methods for the high-precision real-time monitoring and parameter inversion of industrial methane point source leakage are insufficient. This research introduces a novel laser-based methane leakage monitoring approach for deployment on an unmanned aerial vehicle platform. An enhanced two-dimensional integral Gaussian diffusion model paired with a point sampling technique is employed to simultaneously determine the leakage rate and source location, integrating a genetic algorithm and an interior point penalty function algorithm for optimization. Simulations incorporating observational error sources are performed to quantitatively assess the accuracy of leakage parameter inversion under diverse errors, demonstrating the scheme’s viability. The accuracy of leakage parameter inversion achieved by the algorithm across various point sampling methods, gas plume characteristics, and wind speeds was examined, validating the assessment under multivariable influences in real observations. The proposed methodology was compared with two other leakage inversion optimization techniques, demonstrating its efficiency in addressing wind speed and directional effects. This study offers a practical method with significant implications for monitoring and quantifying industrial methane point source leakages. Inversion (geology) ; Leakage (economics) ; Point source ; Methane ; Traceability ; Gaussian ; Gaussian network model ; Plume ; Atmospheric methane Spectroscopy and Laser Applications ; Atmospheric and Environmental Gas Dynamics ; Insect Pheromone Research and Control
Authors: D. van Duren | Monika Mościbrodzka
Source: Monthly Notices of the Royal Astronomical Society (article, 2025-06-06)
Field: Materials Science — Surfaces, Coatings and Films

Chorus: optimizing synchrotron transfer coefficients with weighted sums ABSTRACT Accurate synchrotron transfer coefficients are essential for modelling radiation processes in astrophysics. However, their current calculation methods face significant challenges. Analytical approximations of the synchrotron emissivity, absorptivity, and rotativity are limited to a few simple electron distribution functions that inadequately capture the complexity of cosmic plasmas. Numerical integrations of the transfer coefficients, on the other hand, are accurate but computationally prohibitive for large-scale simulations. In this paper, we present a new numerical method, Chorus, which evaluates the transfer coefficients by expressing any electron distribution function as a weighted sum of functions with known analytical formulas. Specifically, the Maxwell–Jüttner distribution function is employed as the basic component in the weighted sum. The Chorus leverages the additivity of transfer coefficients, drawing inspiration from an analogous approach that uses stochastic averaging to approximate the $\kappa$ distribution function. The key findings demonstrate median errors below $5{{\ \rm per\ cent}}$ for emissivity and absorptivity, with run times reduced from hours to milliseconds compared to first-principles numerical integrations. Validation against a single $\kappa$ distribution, as well as its extension to more complicated distributions, confirms the robustness and versatility of the method. However, limitations are found, including increased errors at higher energies due to numerical precision constraints and challenges with rotativity calculations arising from fit function inaccuracies. Addressing these issues could further enhance the method’s reliability. Our method has the potential to provide a powerful tool for radiative transfer simulations, where synchrotron emission is the main radiative process. Chorus ; Physics ; Synchrotron ; Astrophysics ; Astronomy ; Optics Electron and X-Ray Spectroscopy Techniques ; Electron Spin Resonance Studies ; Advancements in Photolithography Techniques
Authors: Theodoros Margelos | Manousos Makridakis | Charis Gonidaki | Foteini Paradeisi | Manos Vossos | Jérôme Zoidakis | Antonia Vlahou | Rafael Stroggilos
Source:  (preprint, 2025-07-11)
Field: Chemistry — Spectroscopy

Simple, fast, and reliable analysis of label-free proteomics data with the Proteomics Eye (ProtE) In label-free mass spectrometry experiments, the data output is typically a proteome table that requires further processing, testing, and visualization to fully interpret the captured proteomic signals. Currently, post-quantification analysis of these tables often relies on complex programmatic pipelines, which can become challenging to use. Here, we introduce the Proteomics Eye (ProtE), a single-function R package designed to streamline the analysis of proteome tables generated by commonly used software tools (DIA-NN, ProteomeDiscoverer, MaxQuant). ProtE provides a broad range of options for data processing, preparation, and statistical testing. It also performs gene set enrichment analysis and offers a comprehensive suite of visualization plots to assess data quality and facilitate biological interpretation. Given a categorical variable with two or more groups, ProtE enables group-wide and pairwise statistical comparisons across all group combinations, using both traditional statistical tests and linear models for differential expression analysis. By integrating all these features into a single, user-friendly R function, ProtE simplifies the analysis of large-scale label-free DDA and DIA datasets, making advanced proteomic analysis accessible to both experienced researchers and beginners. Proteomics ; Simple (philosophy) ; Computer science ; Computational biology ; Chemistry ; Biology ; Biochemistry Advanced Proteomics Techniques and Applications
Authors: Maria Kalogeropoulou | Kenny A. van Kampen | Pierpaolo Fucile | Carlos Mota | Lorenzo Moroni
Source: Advanced Functional Materials (article, 2025-11-11)
Field: Materials Science — Materials Chemistry

Patterning the Void: Combining L‐Systems with Archimedean Tessellations as a Perspective for Tissue Engineering Scaffolds Abstract Scaffold architecture plays a crucial role in tissue regeneration. Common scaffold design typically involves defining an outer shape and subsequently filling it with a conventional infill pattern. Here, a novel multi‐scale design approach is proposed, which uses L‐fractals with regular outer borders as the constituent tiles of an Archimedean tessellation. To assess tile‐to‐tile attachment, different force application sites are studied experimentally and computationally. While the porosity of all tiles is similar, their responses to tensile loading are vastly different, exhibiting moduli ranging from 1 to 100 MPa and distinct deformation morphologies. Fractal tiles are also evaluated for their In vitro performance, using human mesenchymal stromal cells (hMSCs). After 21 days in culture, geometry‐dependent metabolic activity, tissue growth and cytoskeleton alignment are observed, underscoring their potential value for tissue engineering applications. By treating each tile and gripping configuration as an individual unit, more than 4000 possible Archimedean combinations are identified, with this number exceeding 55 000 when order specificity is considered. Characterization of Archimedean‐fractal combinations reveals that individual tiles exhibit deformations similar to those observed during single‐tile tests. This study demonstrates a novel multi‐scale design approach with potential applications in tissue regeneration. Scaffold ; Tissue engineering ; Deformation (meteorology) ; Morphing ; Porosity ; Ultimate tensile strength ; Tile ; Infill ; Characterization (materials science) Quasicrystal Structures and Properties ; Cellular Automata and Applications ; Advanced Materials and Mechanics
Authors: Astrid Bracher | Andrew Clive Banks | Hongyan Xi | David Dessailly | Juan Ignacio Gossn | Carole Lebreton | Rüdiger Röttgers | Ewa Kwiatkowska | Spyros Chaikalis | Ehsan Mehdipour | Elli Pitta | Mariana Altenburg Soppa | Jan Wevers | Christina Zeri
Source: Frontiers in Remote Sensing (article, 2025-08-20)
Field: Chemistry — Spectroscopy

Assessment of OLCI absorption coefficients for non-water components across all optical water classes New products of water-inherent optical properties have been made operational by European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), on behalf of the EC Copernicus Programme, based on a three-step semi-analytical algorithm to derive absorption coefficient products for all non-water components (a nw ), for phytoplankton (a phy ), and for coloured detrital and dissolved matter (a cdm ), from the first eight bands of the Sentinel-3 (S3) Ocean and Land Colour Imager (OLCI). Additionally, based on a different type of retrieval, the absorption of coloured dissolved organic matter (CDOM) from the OLCI 443 nm band, a cdom (443), has been introduced as a new product. In this study, we evaluate for the first time these new absorption coefficient products for OLCI, based on validation with a large (up to 1,000), global, and comprehensive in situ matchup dataset covering all optical water classes, considering the first 7 years of the S3 mission. Results show robust retrievals for all four OLCI absorption products (R log of 0.68–0.86), with a median absolute percent deviation of 30%–51% across all water types for the 443 nm band and similarly for the 400, 412, 490, and 510 nm bands. Performance was strongest for a nw (λ) and weakest for a cdm (λ). Results for these products for bands 560, 620, and 665 nm are much poorer. The results for OLCI a nw (λ), a phy (λ), and a cdm (λ) are consistent with previous in situ validation results presented for the European Seas. To obtain a good assessment on the temporal and spatial consistency, the monthly a phy (443) and a cdm (443) data from 2019 have been intercompared with other operationally available products. The intercomparisons show that all products agree well for their 2019 average median value and in their overall regional distribution and seasonal variation. EUMETSAT operational processing now delivers the absorption products for the 443 nm band [a phy (443), a nw (443), a cdm (443), and a cdom (443)] for S3 OLCI, and our study confirms the validity of these products. Furthermore, our study corroborates the skill of the EUMETSAT algorithm to obtain valid information in most of the blue and green spectra, making it of high potential for introduction into the processing of ocean-colour radiometry data from new hyperspectral satellite missions. Absorption (acoustics) ; Absorption of water ; Environmental science ; Materials science ; Physics ; Optics Spectroscopy and Laser Applications ; Water Quality Monitoring and Analysis ; Atmospheric Ozone and Climate
Authors: Ioannis Gavras | Panagiotis Gavriilidis | George C. Alexandropoulos
Source: ArXiv.org (preprint, 2025-11-12)
Field: Materials Science — Electronic, Optical and Magnetic Materials

2D Waveguide-Fed Metasurface Antenna Arrays: Modeling and Optimization for Bistatic Sensing This paper presents a physics-consistent framework for bistatic sensing incorporating a 2-Dimensional (2D) waveguide-fed metasurface antenna array capable of realizing eXtremely-Large Multiple-Input Multiple-Output (XL MIMO) apertures. A coupled-dipole model is presented that captures the array's mutual coupling due to both waveguide and free-space interactions, and a novel passivity constraint on the corresponding magnetic polarizabilities is proposed. Focusing on a bistatic sensing setup, we leverage a Neumann-series approximation of the array response model and derive the Cramer-Rao bound for multi-target parameter estimation, which is then incorporated into a sensing optimization formulation with respect to the metasurface's per-element resonance strength configuration. Simulation results on the position error bound in the radiative near field with the proposed design quantify the critical role of metamaterial placement in strongly coupled metasurface-based XL MIMO bistatic sensing systems. Bistatic radar ; Antenna (radio) ; Coupling (piping) ; Metamaterial ; Leverage (statistics) ; Constraint (computer-aided design) ; Upper and lower bounds Metamaterials and Metasurfaces Applications ; Advanced Antenna and Metasurface Technologies ; Antenna Design and Analysis
Authors: Weibin Sun | Wenlin Zhang | Xujin Yuan | 和弘 藤田 | Sheng Li | Hongcheng Yin
Source: Computation (article, 2025-11-22)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Dihedral Corner Region Camouflage in Radar Vision by Super-Dispersion Encoded Surfaces Right-angle dihedral structures produce strong, highly correlated returns that dominate radar cross-section (RCS) and image signatures. Conventional absorbers or random coding metasurfaces often lose effectiveness across wide frequency bands and angles, and cannot adequately suppress the corner-induced hot spots. We propose a wideband super-dispersion encoded surface (SDES) conformally applied to dihedral facets. The approach co-designs input-admittance for absorption with a deterministic super-dispersion phase sequence to redistribute energy spectrally and angularly, thereby decorrelating the returns. We implement SDES on a thin composite panel and evaluate it on canonical dihedral and dihedral–cylindrical hybrid configurations. Unlike diffuse or random coding schemes, SDES enforces broadband, angle-stable dispersion with a deterministic sequence that specifically addresses corner singularity scattering. We also introduce perceptual-hashing as an imaging-domain metric to link RCS control with observable radar-image changes. From 12–18 GHz, SDES reduces the average monostatic RCS by 9.6 dB on a right-angle dihedral. In dihedral–cylindrical hybrids, SDES removes the corner hot spots and drives the radar-image similarity index down to 0.31, confirming substantial alteration of scattering signatures. Dihedral angle ; Radar ; Camouflage ; Metric (unit) ; Corner reflector ; Coding (social sciences) ; Scattering ; Sequence (biology) Metamaterials and Metasurfaces Applications ; Advanced Antenna and Metasurface Technologies ; Electromagnetic Scattering and Analysis
Authors: Marco Alberto Nanfouet | Terence Épule Épule | Cokou Patrice Kpadé | Simon Lafontaine | Liliana Pérez | Changhui Peng | Ernest L. Molua
Source: Research Square (preprint, 2025-10-30)
Field: Chemistry — Organic Chemistry

Projections of climate change impacts on crop production in Quebec Climate change ; Agriculture ; Food security ; Crop ; Effects of global warming ; Production (economics) ; Agricultural productivity Plant-Derived Bioactive Compounds ; Nuts composition and effects ; Bioeconomy and Sustainability Development
Authors: Yongzheng Lu | Xuhui Zhang | Jianwei Hou | Tianchen Tang | Wei Li | Zhuoqing Yang | Bo Dai | Songlin Zhuang | Dawei Zhang
Source: Photonics (article, 2025-12-04)
Field: Materials Science — Electronic, Optical and Magnetic Materials

A Miniature Large-Depth-of-Field Camera Using a Long-Wavelength Infrared Metalens Miniaturized long-wavelength infrared (LWIR) imaging systems are highly desirable for applications such as portable thermal sensing, unmanned surveillance, and medical diagnostics. Conventional refractive optics in the LWIR regime often require multiple lens configurations to extend depth of field (DoF), leading to increased size, weight, and cost. Although existing LWIR metalenses demonstrate competent capabilities, comprehensive approaches to DoF engineering have yet to be explored. Here, we demonstrate a miniature large-DoF camera using a metalens. The designed metalens features a 14 mm diameter aperture and weighs only 0.8 g while maintaining sharp focus over a working distance ranging from 1 m to 22 m. By leveraging subwavelength phase engineering, the metalens achieves high-resolution imaging with low aberration. The integrated camera exhibits an ultra-compact form factor, i.e., 2.3 cm × 2.3 cm × 1.2 cm (length × width × height) and weighs just 25 g. Experimental results confirm the superior DoF performance, enabling clear imaging across varying distances without mechanical refocusing. The advance provides a promising pathway toward ultra-compact, large-DoF LWIR imaging systems for applications ranging from autonomous vehicles to portable medical diagnostics and miniature surveillance devices. Ranging ; Lens (geology) ; Aperture (computer memory) ; Focus (optics) ; Infrared ; Medical imaging ; Field of view ; Near-infrared spectroscopy Metamaterials and Metasurfaces Applications ; Optical Coatings and Gratings ; Advanced optical system design
Authors: Jannis Teunissen | Alejandro Malagón‐Romero
Source: arXiv (Cornell University) (preprint, 2025-01-10)
Field: Materials Science — Materials Chemistry

Data-driven reduced modeling of streamer discharges in air This is the data shown in figure 4 of the paper "Data-driven reduced modeling of streamer discharges in air" by J. Teunissen and A. Malagón-Romero (https://arxiv.org/abs/2501.06093). The following columns are present, see the paper for more details: sigma_head: line conductivity at streamer head. Unit: A m/MV R_E: Electrodynamic radius. Unit: mm v: streamer velocity. Unit: mm/ns L_E: length of high-field region ahead of streamer. Unit: mm E_max: maximum electric field strength at streamer head. Unit: MV/m E_avg: average field between electrode tip and opposite plate. Unit: MV/m Environmental science ; Streamer discharge ; Physics ; Plasma ; Nuclear physics High voltage insulation and dielectric phenomena