Evaluating the Uncertainty and Predictive Performance of Probabilistic Models Devised for Grade Estimation in a Porphyry Copper Deposit by Raymond Leung, Alexander Lowe, Arman Melkumyan

“…In mining geology, model validation efforts have generally lagged behind the development and deployment of computational models. One problem is the lack of industry guidelines for evaluating the uncertainty and predictive performance of probabilistic ore grade models. …”
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deepBBQ: A Deep Learning Approach to the Protein Backbone Reconstruction by Justyna D. Kryś, Maksymilian Głowacki , Piotr Śmieja , Dominik Gront

“…The deepBBQ program is available as part of the open-source bioinformatics toolkit Bioshell and is free for download and the documentation is available online.…”
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Energy growth in V L V L → V L V L , V L V L h scattering to probe Higgs cubic and HEFT interactions by Shameran Mahmud, Kohsaku Tobioka

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Love numbers of black p-branes: fine tuning, Love symmetries, and their geometrization by Panagiotis Charalambous, Sergei Dubovsky, Mikhail M. Ivanov

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A genetic algorithm-based solution for multi-type maximal covering location problem (MMCLP): application to defense and deterrence by J.D. Lessan, Geoff Pond

“…Design/methodology/approach – In our case study, we use open source geographic and demographic data from Canadian sources as inputs to our optimization problem. …”
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In silico study about β-amyloid’s role in Alzheimer’s disease and glaucoma and prediction of its interactions with glaucoma related proteins by Nancy Maurya

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Is the presence of accessory mandibular canals associated with the dimensions of the mandibular canal? by Emre Sözen, Hasan Akpınar

“… Aim: The aim of this study is to classify accessory mandibular canals (AMC) and investigate their association with the dimensions of the mandibular canal (MC) to enhance surgical planning and prevent complications in dental treatments. Methods: Cone-beam computed tomography (CBCT) images were evaluated. AMC’s frequency, length, and diameter, including dental, superior, inferior, forward-open, forward-closed, and retromolar types, were determined. …”
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Addressing Out‐of‐Sample Issues in Multi‐Layer Convolutional Neural‐Network Parameterization of Mesoscale Eddies Applied Near Coastlines by Cheng Zhang, Pavel Perezhogin, Alistair Adcroft, Laure Zanna

“…This study underscores the need for BC treatments in CNN models trained on open water data when predicting near‐coastal subgrid forces in ML parameterizations. …”
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Multimodal Augmented Reality System for Real-Time Roof Type Recognition and Visualization on Mobile Devices by Bartosz Kubicki, Artur Janowski, Adam Inglot

“…The current approach to roof identification is based on data made available by public administrations in an open-source format, including orthophotos and building contours. …”
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An Integrated Model for Dam Break Flood Including Reservoir Area, Breach Evolution, and Downstream Flood Propagation by Huiwen Liu, Zhongxiang Wang, Dawei Zhang, Liyun Xiang

“…It is coupled with a multi-architecture (multi-CPU and GPU) open-source two-dimensional flood model, which is based on high-precision terrain and land use data. …”
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Transtrochanteric Transverse Fracture of Proximal Femur in Pediatric Child: A Rare Variant: Case Report and Surgical Management by S Rohinth, KR Tarun Prashanth, M R Thirunthaiyan, R Dorai Kumar, B Sundararaja

“…Surgical management involved open reduction and internal fixation of the proximal femur. …”
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Design and Evaluation of Noise Simulation Algorithm Using MATLAB Ray Tracing Engine for Noise Assessment and Prediction by Precin Kalisalvan, Mohd Sayuti Ab Karim, Siti Nurmaya Musa

“…The current noise evaluation methods are complex and time-consuming, relying on manual calculations and field measurements. An easy-to-use, open-source noise simulator that directly compares the output with national standards would help mitigate this issue. …”
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Perturbative unitarity bounds from momentum-space entanglement by Carlos Duaso Pueyo, Harry Goodhew, Ciaran McCulloch, Enrico Pajer

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The massive flat space limit of cosmological correlators by Sebastián Céspedes, Sadra Jazayeri

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Hybrid extreme learning machine for real-time rate of penetration prediction by Abdelhamid Kenioua, Omar Djebili, Ammar Touati Brahim

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STUDI PENGGUNAAN MANIPULATOR TEGANGAN PADA SENSOR TEKANAN BAHAN BAKAR MESIN DIESEL COMMON RAIL DITINJAU DARI DAYA & KONSUMSI BAHAN BAKAR by Nike Nur Farida, Ratna Monasari, Chandra Gunawan, Supa K. Aji

“…The throttle valve and pedal openings are still slightly open, so the amount of fuel entering the combustion chamber is also limited, so fuel consumption is very economical.…”
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Fungal endocarditis: microbial insights, diagnostic and therapeutic challenges in the modern era by Sudeep Edpuganti

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Gravitational waves and dark matter in the gauged two-Higgs doublet model by Michael J. Ramsey-Musolf, Van Que Tran, Tzu-Chiang Yuan

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Dark matter interactions in white dwarfs: A multi-energy approach to capture mechanisms by Jaime Hoefken Zink, Shihwen Hor, Maura E. Ramirez-Quezada

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Study of methods for extracting contours of objects on raster images of amber samples by Yu.O. Podchashynskyi, A.V. Ryzhuk

“…The use of these operators in TVS provides the most complete and reliable information for building a three-dimensional model, classifying and evaluating the quality of amber samples. The open source computer vision library was taken as the algorithmic and software basis of the conducted research. …”
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