Corporate Real Estate alignment by Monique Arkesteijn

“…In the first pilot, the algorithm (step 5b) was not able to generate a local optimum because a subset of the alternatives was infeasible. …”
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Vascular anomalies in childhood. Review and update by Juan Carlos López Gutiérrez, Jesús Pozo Losada, Manuel Gómez Tellado

“…They may be associated with additional malformations and frequently cause musculoskeletal and soft tissue hypertrophy or hypotrophy. They can develop anywhere in the body, invade any tissue and affect the function of various organs. …”
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Analysis of software methods for metal computed tomography artifact reduction: experimental research by A. V. Petraikin, Yu. A. Vasilev, Z. R. Artyukova, A. K. Smorchkova, D. S. Semenov, А. А. Baulin, A. A. Alikhanov, R. A. Erizhokov, O. V. Omelyanskaya

“…Metal artifact reduction algorithms do not distort the X‑ray density without an artifact source. …”
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4D-CTA image and geometry dataset for kinematic analysis of abdominal aortic aneurysmsZenodo by Mostafa Jamshidian, Adam Wittek, Saeideh Sekhavat, Farah Alkhatib, Jens Carsten Ritter, Paul M. Parizel, Donatien Le Liepvre, Florian Bernard, Ludovic Minvielle, Antoine Fondanèche, Jane Polce, Christopher Wood, Karol Miller

“…The images were acquired at Fiona Stanley Hospital in Western Australia and provided to the researchers at the Intelligent Systems for Medicine Laboratory at The University of Western Australia (ISML-UWA), where image-based AAA kinematic analysis was performed using a newly created algorithm, as described in [1]. The AAA geometries were extracted using an automated image processing pipeline comprising AI-based segmentation with PRAEVAorta software by NUREA (https://www.nurea-soft.com/), automated post-processing with the ISML-UWA in-house code (https://arxiv.org/abs/2403.07238), and surface model extraction using the freely available BioPARR (Biomechanics-based Prediction of Aneurysm Rupture Risk) (https://bioparr.mech.uwa.edu.au/) and 3D Slicer (https://www.slicer.org/) software packages [2,3]. …”
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A Hybrid Speech Enhancement Technique Based on Discrete Wavelet Transform and Spectral Subtraction by Yasir Iqbal, Tao Zhang, Teddy Surya Gunawan, Agus Pratondo, Xin Zhao, Yanzhang Geng, Mira Kartiwi, Nasir Saleem, Sami Bourouis

“…In low Signal-to-Noise Ratio (SNR) conditions, various approaches and algorithms are applied to improve speech quality and intelligibility. …”
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Programming of adaptive machining for end milling by Y. Petrakov, D. Shuplietsov

“…The soft program is created and the method of designing the CNC-program for a virtual basing of the workpiece on the CNC machine is developed. …”
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Neutrosophic Semiopen Hypersoft Sets with an Application to MAGDM under the COVID-19 Scenario by D. Ajay, J. Joseline Charisma, N. Boonsatit, P. Hammachukiattikul, G. Rajchakit

“…Hypersoft set is a generalization of soft sets, which takes into account a multiargument function. …”
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A preliminary model for determining a soil quality index including biological data implemented through a QR code application by Simone Figorilli, Loredana Canfora, Andrea Manfredini, Simona Violino, Lavinia Moscovini, Federico Pallottino, Francesca Antonucci, Corrado Costa, Ewa M. Furmanczyk, Wioletta Popińska, Antonio Gerardo Pepe, Eligio Malusà

“…In this context, a class-modelling approach based on the Data-Driven Soft Independent Model of Class Analogy (DD-SIMCA) was tested to develop a soil quality index based on physical, chemical and biological parameters. …”
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Bent Femoral Nail Removal Technique: An Illustrative Case Report by T Revanth, Giriraj Harshavardhan

“…Long bone fractures are more commonly treated by intramedullary nailing for their advantages, such as minimal soft tissue damage, reduced blood loss, and early mobilization. …”
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Neural network compression for reinforcement learning tasks by Dmitry A. Ivanov, Denis A. Larionov, Oleg V. Maslennikov, Vladimir V. Voevodin

“…In this work, we conduct a systematic investigation of the application of these optimization techniques with popular RL algorithms, specifically Deep Q-Network and Soft Actor Critic, in different RL environments, including MuJoCo and Atari, which yields up to a 400-fold reduction in the size of neural networks. …”
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Statistical dynamics of flowing red blood cells by morphological image processing. by John M Higgins, David T Eddington, Sangeeta N Bhatia, L Mahadevan

“…Blood is a dense suspension of soft non-Brownian cells of unique importance. Physiological blood flow involves complex interactions of blood cells with each other and with the environment due to the combined effects of varying cell concentration, cell morphology, cell rheology, and confinement. …”
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Brain Perfusion Analysis Method using Computed Tomography Images by E. Khudiakova, A. Gavrilov, A. Krylov

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Reinforcement learning in electric vehicle energy management: a comprehensive open-access review of methods, challenges, and future innovations by Georginio Ananganó-Alvarado, Ignacio Umaña-Morel, Brian Keith-Norambuena

“…The study formulates four guiding research questions to analyze types of learning algorithms, evaluation criteria, system-level constraints, and practical implementation aspects. …”
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Navigating the complexities of AI and digital governance: the 5W1H framework by S. Matthew Liao, Iskandar Haykel, Katherine Cheung, Taylor Matalon

“…This paper introduces a ''5W1H'' framework to systematically analyze AI governance proposals through six key questions: What should be regulated (data, algorithms, sectors, or risk levels), Why regulate (ethics, legal compliance, market failures, or national interests), Who should regulate (industry, government, or public stakeholders), When regulation should occur (upstream, downstream, or lifecycle approaches), Where it should take place (local, national, or international levels), and How it should be enacted (hard versus soft regulation). …”
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Multistable Physical Neural Networks by Ben‐Haim Eran, Givli Sefi, Or Yizhar, Gat D. Amir

“…Building on these maps, both global and local algorithms for training multistable PNNs are implemented. …”
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Hybrid secure beamforming and vehicle selection using hierarchical agglomerative clustering for C-RAN-based vehicle-to-infrastructure communications in vehicular cyber-physical sys... by Dongyang Xu, Pinyi Ren, Qinghe Du, Li Sun

“…Simulation results verify the effectiveness of the proposed algorithms in the respect of secrecy sumrate compared with the conventional zero-forcing beamforming using semi-orthogonal user selection algorithms. …”
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The ‘Implicit Intelligence’ of artificial intelligence. Investigating the potential of large language models in social science research by Ottorino Cappelli, Marco Aliberti, Rodrigo Praino

“…Researchers in ‘hard' science disciplines are exploring the transformative potential of Artificial Intelligence (AI) for advancing research in their fields. Their colleagues in ‘soft' science, however, have produced thus far a limited number of articles on this subject. …”
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Ensemble-based eye disease detection system utilizing fundus and vascular structures by Hongjie Yu, Xingbo Dong

“…This framework leverages dual-branch input, incorporating both retinal images and vessel segmentation images, along with transfer learning and ensemble learning algorithms. This enhances the accuracy of the diagnoses and the stability of the model, particularly in scenarios with small sample sizes. …”
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COVID-19 Pandemic Forecasting Using CNN-LSTM: A Hybrid Approach by Zuhaira M. Zain, Nazik M. Alturki

“…Along with recent advances in soft computing technology, researchers are now actively developing and enhancing different mathematical and machine-learning algorithms to forecast the future trend of this pandemic. …”
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OT-PCA: New Key-Recovery Plaintext-Checking Oracle Based Side-Channel Attacks on HQC with Offline Templates by Haiyue Dong, Qian Guo

“…By calling the publicly accessible HQC decoder, we build offline templates that enable efficient extraction of soft information for hundreds of secret positions with just a single PC oracle call. …”
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