Human Supervision is Key to Achieving Accurate AI-assisted Wildlife Identifications in Camera Trap Images by Sarah E. Huebner, Meredith S. Palmer, Craig Packer

“…To capitalize on the best of human and AI classifying methods, we developed an integrated CT data pipeline in which AI provides an initial pass on labeling images, but is supervised and validated by humans (i.e., a “human-in-the-loop” approach). …”
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Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology by Olga Fourkioti, Matt De Vries, Reed Naidoo, Chris Bakal

“…We developed a novel pipeline, K-MIL, to evaluate the impact of contextual information on cell classification performance. …”
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Machine and deep learning performance in out-of-distribution regressions by Assaf Shmuel, Oren Glickman, Teddy Lazebnik

“…We extensively ( $n \gt 40\,000$ runs) compare the ID versus OOD performance of XGBoost, random forest, K-nearest-neighbors, support vector machine, and linear regression models, as well as AutoML models (Tree-based Pipeline Optimization Tool and AutoKeras). In addition, to tackle this challenge, we propose to integrate a symbolic regression (SR) as a feature engineering method model with an ML or DL model to improve its performance for OOD samples. …”
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See-Then-Grasp: Object Full 3D Reconstruction via Two-Stage Active Robotic Reconstruction Using Single Manipulator by Youngtaek Hong, Jonghyeon Kim, Geonho Cha, Eunwoo Kim, Kyungjae Lee

“…To address these limitations, we introduce a two-stage robotic active 3D reconstruction pipeline, named See-Then-Grasp (STG), that employs a robot manipulator for direct interaction with the object. …”
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DCE-MRI and DWI Integration for Breast Lesions Assessment and Heterogeneity Quantification by C. Andrés Méndez, Francesca Pizzorni Ferrarese, Paul Summers, Giuseppe Petralia, Gloria Menegaz

“…Here we propose a two-step pipeline for integrating diffusion and perfusion MRI that we demonstrate in the quantification of breast lesion heterogeneity. …”
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Numerical modeling of wave-induced liquefaction around a gravity-based structure by V. S. Ozgur Kirca, V. S. Ozgur Kirca, Mert Angin, B. Mutlu Sumer

“…The model was first validated against analytical solution for pore pressure buildup in the seabed under progressive waves, and against experimental data for residual liquefaction around a buried submarine pipeline. The results showed that the model can satisfactorily capture pore pressure buildup and residual liquefaction in the seabed around structures. …”
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MeStanG—Resource for High-Throughput Sequencing Standard Data Sets Generation for Bioinformatic Methods Evaluation and Validation by Daniel Ramos Lopez, Francisco J. Flores, Andres S. Espindola

“…We propose a MeStanG as a resource for generating HTS Nanopore data sets to evaluate present and emerging bioinformatics pipelines. MeStanG allows samples to be designed with user-defined organism abundances expressed as number of reads, reference sequences, and predetermined or custom errors by sequencing profiles. …”
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Strengthened 32‐bit AES implementation: Architectural error correction configuration with a new voting scheme by Saeideh Sheikhpur, Mahdi Taheri, Mohammad Saeed Ansari, Ali Mahani

“…We illustrate that the proposed architecture can tolerate up to triple‐bit (byte) simultaneous faults at each pipeline stage’s logic and verify our claim through extensive error simulations. …”
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IUPHAR review: Drug repurposing in Schizophrenia – An updated review of clinical trials by Jihan K. Zaki, Jakub Tomasik, Sabine Bahn

“…This review aims to update our previous findings on the clinical drug repurposing pipeline in schizophrenia. We examined studies conducted between 2018 and 2024, identifying 61 trials evaluating 40 unique repurposed drug candidates. …”
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Three-Dimensional Point Cloud Displacement Analysis for Tunnel Deformation Detection Using Mobile Laser Scanning by Mahamadou Camara, Liying Wang, Ze You

“…This study introduces an advanced methodology for analyzing tunnel cross-section displacements, leveraging point cloud data captured by the Self-Mobile Intelligent Laser Scanning System (SILSS), a Mobile Laser Scanning (MLS) platform capable of rapid and detailed 3D mapping of shield tunnels. The preprocessing pipeline includes the precise extraction of cross-sectional linings through local point density outlier removal techniques to enhance data accuracy. …”
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Drag Reduction Mechanism of Viscoelastic Slick-Water Fracturing Fluid in Tortuous and Rough Fractures by Zhiyu Liu, Fan Fan, Donghang Zhang, Yang Li, Yuan Li, Kai Yang, Hongkui Ge, Fujian Zhou

“…Unlike the flow rule of the drag reducer in a pipeline, when the concentration is greater than 0.10%, a negative DR effect begins to appear. …”
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Study on Grouted Body Deterioration Mechanism of Sand Layer in Seawater Environment by Hongbo Wang, Zhipeng Li, Xiaoguo Wang, Qingsong Zhang, Lianzhen Zhang

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swaRmverse: An R package for the comparative analysis of collective motion by Marina Papadopoulou, Simon Garnier, Andrew J. King

“…Our package provides the first automated pipeline enabling the analysis of data on collective behaviour. …”
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Molecular dynamics model of mechanophore sensors for biological force measurement by Sumit Mittal, Rongsheng E. Wang, Robert Ros, Alison E. Ondrus, Abhishek Singharoy

“…Here we introduce a computational pipeline for force measurement that leverages well-defined, tunable release of a mechanically activated small molecule fluorophore. …”
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An integrated modelling framework for optimization of the placement of grey-green-blue infrastructure to mitigate and adapt flood risk: An application to the Upper Ting River Water... by Jun Wu, Jiangang Xu, Muqiu Lu, Haolin Ming

“…Multi-objective optimization solutions outperform alternatives in terms of runoff reduction, pipeline overload duration, and construction costs.…”
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In Vitro Model of Vascular Remodeling Under Microfluidic Perfusion by Kotaro Nishikata, Kimisato Doi, Nobuyoshi Kaneoya, Masataka Nakamura, Nobuyuki Futai

“…We also developed an automatic image analysis pipeline to extract the morphology of the lumen network and node–edge network structure weighted with segmentwise flow parameters. …”
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Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks by A.V. Dobshik, S.K. Verbitskiy, I.A. Pestunov, K.M. Sherman, Yu.N. Sinyavskiy, A.A. Tulupov, V.B. Berikov

“…The quantitative results of the proposed algorithm and obtained segmentation were measured by the Dice similarity coefficient, sensitivity, specificity and precision metrics. The suggested pipeline provides a Dice improvement of 12.0 %, sensitivity of 10.2 % and precision 10.0 % over the baseline and achieves an average Dice of 62.8 ± 3.3 %, sensitivity of 69.9 ± 3.9 %, specificity of 99.7 ± 0.2 % and precision of 61.9 ± 3.6 %, showing promising segmentation results.…”
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Detecting and quantifying deep sea benthic life using advanced object detection by Karthik H. Iyer, Camilla M. Marnor, Daniel W. Schmid, Ebbe H. Hartz

“…This will facilitate informed decision-making in marine resource exploration, including mining operations, bottom trawling, and deep-sea pipeline laying, while also contributing to marine conservation and the sustainable management of deep-sea ecosystems.…”
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Acoustic Emission Characteristics and Failure Mechanism of Fractured Rock under Different Loading Rates by Yongzheng Zhang, Gang Wang, Yujing Jiang, Shugang Wang, Honghua Zhao, Wenjun Jing

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PAIVS: prediction of avian influenza virus subtype by Hyeon-Chun Park, Juyoun Shin, Sung-Min Cho, Shinseok Kang, Yeun-Jun Chung, Seung-Hyun Jung

“…However, an analysis pipeline of NGS-based AIV sequencing data, including AIV subtyping, has not yet been established. …”
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