The Great Disruption: How Machine Intelligence Will Transform the Role of Lawyers in the Delivery of Legal Services by J. O. Mcginnis, R. G. Pearce

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Availability and Use of Digital Technology Among Women With Polycystic Ovary Syndrome: Scoping Review by Pamela J Wright, Charlotte Burts, Carolyn Harmon, Cynthia F Corbett

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Data-Driven Identification of Gas Turbine Engine Dynamics via Koopman Operator Genetic Algorithm by David Grasev

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SURABHI: Self-Training Using Rectified Annotations-Based Hard Instances for Eidetic Cattle Recognition by Manu Ramesh, Amy R. Reibman

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Sustainable transformation of cotton stalk waste as a biochar-based copper-silicon composite for chromium (VI) detoxification by Sana Shakil, Salah Ud Din, Khawaja Ansar Yasin, Muhammad Sheraz Ahmad, Muhammad Imran, Abdurahman Hajinur Hirad, Jamoliddin Razzokov, Sirajul Haq

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Fatigue-Aware Sub-Second Combinatorial Auctions for Dynamic Cycle Allocation in Human–Robot Collaborative Assembly by Claudio Urrea

“…Method: A human and a FANUC robot submit bids combining execution time, predicted energy, and real-time fatigue; a greedy algorithm (≤1 ms) with a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1</mn><mo>−</mo><mn>1</mn><mo>/</mo><mi>e</mi></mrow></semantics></math></inline-formula> approximation guarantee and <i>O</i> (|<i>Bids</i>| log |<i>Bids</i>|) complexity maximizes utility. …”
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Mapping the global distribution of livestock. by Timothy P Robinson, G R William Wint, Giulia Conchedda, Thomas P Van Boeckel, Valentina Ercoli, Elisa Palamara, Giuseppina Cinardi, Laura D'Aietti, Simon I Hay, Marius Gilbert

“…Recent methodological improvements have significantly enhanced these distributions: more up-to date and detailed sub-national livestock statistics have been collected; a new, higher resolution set of predictor variables is used; and the analytical procedure has been revised and extended to include a more systematic assessment of model accuracy and the representation of uncertainties associated with the predictions. …”
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The what and where of adding channel noise to the Hodgkin-Huxley equations. by Joshua H Goldwyn, Eric Shea-Brown

“…We supply user-friendly MATLAB simulation code of these stochastic versions of the Hodgkin-Huxley equations on the ModelDB website (accession number 138950) and http://www.amath.washington.edu/~etsb/tutorials.html.…”
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Mapping the global distribution of lead and its isotopes in seawater with explainable machine learning by A. Olivelli, A. Olivelli, A. Olivelli, R. Arcucci, M. Rehkämper, T. van de Flierdt

“…By analysing the uncertainty associated with our maps, we identified the Southern Ocean as the key area to prioritise in future sampling campaigns. Our datasets, models, and their outputs, in the forms of Pb concentrations, <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M6" display="inline" overflow="scroll" dspmath="mathml"><mrow><msup><mi/><mn mathvariant="normal">206</mn></msup><mi mathvariant="normal">Pb</mi><msup><mo>/</mo><mn mathvariant="normal">207</mn></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="49pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="28ce92eb112129d7abd081ddbaf78b36"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="essd-17-3679-2025-ie00005.svg" width="49pt" height="15pt" src="essd-17-3679-2025-ie00005.png"/></svg:svg></span></span>Pb climatologies, and <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M7" display="inline" overflow="scroll" dspmath="mathml"><mrow><msup><mi/><mn mathvariant="normal">208</mn></msup><mi mathvariant="normal">Pb</mi><msup><mo>/</mo><mn mathvariant="normal">207</mn></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="49pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="0d38e78fba18e3d70e0918b651fb63cf"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="essd-17-3679-2025-ie00006.svg" width="49pt" height="15pt" src="essd-17-3679-2025-ie00006.png"/></svg:svg></span></span>Pb climatologies, are made freely available to the community by Olivelli et al. (2024a; <a href="https://doi.org/10.5281/zenodo.14261154">https://doi.org/10.5281/zenodo.14261154</a>) and Olivelli (2025; <a href="https://doi.org/10.5281/zenodo.15355008">https://doi.org/10.5281/zenodo.15355008</a>).…”
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Robust generalization of tuning to self-induced sensation by Rozana Ovsepian, David Souto, Alexander C. Schütz

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A Deep Sparse Capsule Network for Non-Invasive Blood Glucose Level Estimation Using a PPG Sensor by Narmatha Chellamani, Saleh Ali Albelwi, Manimurugan Shanmuganathan, Palanisamy Amirthalingam, Emad Muteb Alharbi, Hibah Qasem Salman Alatawi, Kousalya Prabahar, Jawhara Bader Aljabri, Anand Paul

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Seismic Performance of High-Ductile Fiber-Reinforced Concrete Short Columns by Mingke Deng, Yangxi Zhang

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Simulation research on safety detection of pattern rope jumping motion based on large data background by Dongmei Wang

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3-D Viscous Flow Analysis of an Axial Flow Pump Impeller by Steven M. Miner

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Singularity-Free Adaptive Controller for Uncertain Hysteresis Suspension Using Magnetorheological Elastomer-Based Absorber by Hoa Thi Truong, Xuan Bao Nguyen, Cuong Mai Bui

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Hybrid Attention and Multiscale Module for Alzheimer's Disease Classification by WANG Yuanjun

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A new method for quantification of the phase selective localization of hybrid fillers in rubber blends by H. H. Le, X. T. Hoang, U. Reuter, A. Janke, A. Das, S. Wiessner

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Damage Detection in Railway Truss Bridges Employing Data Sensitivity under Bayesian Framework: A Numerical Investigation by Kanta Prajapat, Samit Ray-Chaudhuri

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Study on Occupancy Behaviors of Passengers in the Subway Cabin: An Observation in Chengdu, China by Si-Jun He, Jin-Yi Zhi

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Punching shear in flat slabs with re-entrant corner columns by João Paulo de Almeida Siqueira, Aparecida Evangelista Cartaxo, Guilherme Sales Melo

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