Petri graph neural networks advance learning higher order multimodal complex interactions in graph structured data by Alma Ademovic Tahirovic, David Angeli, Adnan Tahirovic, Goran Strbac

“…Recent developments extend this foundation through higher-order structures, such as hypergraphs, multilayer, and temporal networks, which better capture complex real-world interactions. …”
Get full text

Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data. by Nathan J Hostetter, Nicholas J Lunn, Evan S Richardson, Eric V Regehr, Sarah J Converse

“…We present a novel age-structured Jolly-Seber model that incorporates age and capture-recapture data to provide comprehensive information on population dynamics, including abundance, age-dependent survival, recruitment, age structure, and population growth rates. …”
Get full text

Enhancing data analysis and programming skills through structured prompt training: The impact of generative AI in engineering education by Ashish Garg, K. Nisumba Soodhani, Ramkumar Rajendran

“…Our research investigates the impact of structured prompt training on students' learning in data analysis and programming. …”
Get full text

Leveraging LLMs for optimised feature selection and embedding in structured data: A case study on graduate employment classification by Radiah Haque, Hui-Ngo Goh, Choo-Yee Ting, Albert Quek, M.D. Rakibul Hasan

“…The primary objective is to determine whether converting structured data into text format improves model accuracy. …”
Get full text

Enhancing Standardized and Structured Recording by Elderly Care Physicians for Reusing Electronic Health Record Data: Interview Study by Charlotte A W Albers, Yvonne Wieland-Jorna, Martine C de Bruijne, Martin Smalbrugge, Karlijn J Joling, Marike E de Boer

“…The findings will be used to formulate recommendations aimed at enhancing standardized and structured data recording for the reuse of EHR data. …”
Get full text

Linearity of Structure Kernels in Main-sequence and Subgiant Solar-like Oscillators by Lynn Buchele, Earl P. Bellinger, Saskia Hekker, Sarbani Basu

“…With the high-precision frequencies obtained using data from the Kepler mission, it has now become possible to study other solar-like oscillators using structure inversions, including both main-sequence and subgiant stars. …”
Get full text

The 102–103° E geodivider in the modern lithosphere structure of Сentral Asia by Yu. G. Gatinsky, T. V. Prokhorova, D. V. Rundquist

“…According to our investigations, the 102–103° E geodivider is a regional geological-geophysical border that may be compared with the Tornquist Line, and, by its scale, with the Uralian and Appalachian fronts and some others large structures.…”
Get full text

Discussing the spectrum of physics-enhanced machine learning: a survey on structural mechanics applications by Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa, Zhilu Lai, Eleni Chatzi

Subjects: “…data-driven…”
Get full text

Structured insight: an innovative disambiguation paradigm for semi-supervised partial label learning by Xin Niu, Jing Chai, Musaed Alhussein, Khursheed Aurangzeb

“…However, many SPLL methods adopted unique disambiguation strategy to tackle both partial label data and unlabeled data, which often fail to account for the intrinsic structural differences between partial label data and unlabeled data, resulting in suboptimal disambiguation and degraded performance. …”
Get full text

An open-source platform for structured annotation and computational workflows in digital pathology research by Luca Lianas, Mauro Del Rio, Luca Pireddu, Oskar Aspegren, Francesca Giunchi, Michelangelo Fiorentino, Simone Leo, Renata Zelic, Per Henrik Vincent, Nicolas Destefanis, Daniela Zugna, Lorenzo Richiardi, Andreas Pettersson, Olof Akre, Francesca Frexia

“…However, currently available open-source annotation tools typically employ single-label approaches that provide a flat representation of whole-slide images (WSI), limiting their ability to capture the complexity of the diagnosis-significant elements in a detailed and structured way. Furthermore, the difficulty of strictly following precise review protocols and lack of provenance tracking during annotation processes can result in high variability and limit reproducibility and reusability of the collected data. …”
Get full text

Macromolecular crystallography from an industrial perspective – the impact of synchrotron radiation on structure-based drug discovery by H. Käck, T. Sjögren

Subjects: “…structure-based drug design…”
Get full text

THE PARAMETER ANALYSIS OF CUBICAL STRUCTURED CADMIUM TELLURIDE (CdTe) SEMICONDUCTOR MATERIALS by Sinta Puspita Apriliani, Susi Susilawati, Koharudin Koharudin, Sarah Nabilah, Dwi Lestariningsih, Witri Desmulyani, Anis Munir Rukyati, Muhammad Fikri Fakhrurozi, Stefiana Sondary Az Zahrah, Irmansyah Irmansyah, Irzaman Irzaman

“…Cadmium telluride (CdTe) semiconductor materials will be used to analyze the energy gap, lattice parameters, and error value of these cubical structured crystal materials. The data that we used to be analyzed is using data from the International Center for Diffraction Data (ICDD) that used the X-ray Diffraction (XRD) method. …”
Get full text

Improved detection algorithm for rail profile wear based on line structured light by LIU Zhengfeng, CHEN Jianzheng, LI Wei

“…However, during the operation of track inspection vehicles, the profile data collected by the rail profile wear detection system based on linear structured light is often disrupted by noise from various outliers, leading to significant geometric variations in the rail profile calculation results. …”
Get full text

ON STRUCTURED AND DIFFUSE SEISMICITY, STIFFNESS OF EARTHQUAKE FOCI, AND NONLINEARITY OF MAGNITUDE RECURRENCE GRAPHS by Evgeny G. Bugaev

“…Sample cases demonstrate the use of data sets on nonstiff and stiff foci for separate evaluation of magnitude reoccurrence curves, analyses of structured and dissipated seismicity, review of the physical nature of nonlinearity of recurrence curves and conditions of preparation of strong earthquakes. …”
Get full text

Approaching maximum resolution in structured illumination microscopy via accurate noise modeling by Ayush Saurabh, Peter T. Brown, J. Shepard Bryan IV, Zachary R. Fox, Rory Kruithoff, Cristopher Thompson, Comert Kural, Douglas P. Shepherd, Steve Pressé

“…State-of-the-art unsupervised structured illumination microscopy (SIM) reconstruction methods, commonly implemented in the Fourier domain, often do not accurately model this noise. …”
Get full text

Gender and urban health: a Latin American structured tool for research and policy by Lidia Maria de Oliveira Morais, Elis Borde, Paula Guevara, Roxana Valdebenito, Laura Baldovino-Chiquillo, Olga L. Sarmiento, Alejandra Vives Vergara, Amélia Augusta de Lima Friche, Waleska Teixeira Caiaffa

“…Drawing inspiration from feminist urbanism and urban health research, we propose a structured tool for Latin American cities to develop gender-sensitive urban policies, interventions, and urban health research. …”
Get full text

Feasibility study of structured diagnosis methods for functional dyspepsia in Korean medicine clinics by Jeong Hwan Park, Soyoung Kim, Jae-Woo Park, Seok-Jae Ko, Sanghun Lee

“…This study aimed to construct a standard operating procedure (SOP) with appropriate structured diagnostic methods for FD, and assess the feasibility for use in KM clinics. …”
Get full text

Temperature Effects on Wicking Dynamics: Experimental and Numerical Study on Micropillar-Structured Surfaces by Yoomyeong Lee, Hyunmuk Park, Hyeon Taek Nam, Yong-Hyeon Kim, Jae-Hwan Ahn, Donghwi Lee

“…This study experimentally and numerically analyzed the wicking performance of micropillar structures at various temperatures (20–95 °C) using distilled water as the working fluid to provide fundamental data for CHF prediction. …”
Get full text

Sparse Representation of Deformable 3D Organs with Spherical Harmonics and Structured Dictionary by Dan Wang, Ahmed H. Tewfik, Yingchun Zhang, Yunhe Shen

Get full text

Using Large Language Models for Extracting Structured Information From Scientific Texts by Rettenberger Luca, Münker Marc F., Schutera Mark, Niemeyer Christof M., Rabe Kersten S., Reischl Markus

“…Our open-source method automates extracting information from verbose texts, converting them into structured and easily navigable data. This considerably improves scientific literature research by utilizing the power of LLMs and paves the way for enhanced and faster information extraction from extensive scientific texts.…”
Get full text