Patient-specific vascular models for optimal catheter selection: Two aneurysm embolization cases by Ryo Morita, MD, PhD, Daisuke Abo, MD, PhD, Takaaki Fujii, MD, Naoya Kinota, MD, Daisuke Kato, MD, Kouji Yamasaki, MD, Motoma Kanaya, MD, Taisuke Harada, MD, PhD, Osamu Sugita, Ph.D, Norio Kawamura, MD, PhD, Akinobu Taketomi, MD, PhD, Kohsuke Kudo, MD, PhD

“…Patient-specific vascular models enhance preoperative planning in interventional radiology, particularly in complex and anatomically challenging cases. This report presents two cases of complex aneurysm coil embolization in which three-dimensional, printed, patient-specific vascular hollow models were key to selecting optimal catheters, leading to successful interventions. …”
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RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space by Yafei Liu, Na Liu, Hao Li, Yi Jiang, Junwu zhu

“…This strategy is innovative in improving relay selection efficiency and optimizing network performance. …”
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Investigation of printing turn angle effects on structural deformation and stress in selective laser melting by Ruqing Bai, Shengbo Shi, Jingzhe Wang, Jun Luo, Huayan Pu, Wenhan Lyu, Hakim Naceur, Daniel Coutellier, Li Wang, Yangkun Du

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ASAD: A Meta Learning-Based Auto-Selective Approach and Tool for Anomaly Detection by Nadia Rashid, Rashid Mehmood, Fahad Alqurashi, Saad Alqahtany, Juan M. Corchado

“…By automating the selection process, the method aims to reduce the reliance on trial-and-error methods, streamline the anomaly detection workflow, and lead to more robust, adaptable, and efficient anomaly detection systems. …”
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Selective Extraction of Zirconium from Sulfuric Acid Solutions at High Concentration with Trioctylamine (TOA) by Shuo Tian, Jing Song, Hongqian Sun, Congcong Zhao, Zhiyu Zhang, Mingming Han, Tao Qi

“…Based on the results, it is believed that the structure of the extracted complex may be [R₃NH]₂[Zr(SO₄)₃]. …”
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Assessing data and sample complexity in unmanned aerial vehicle imagery for agricultural pattern classification by Linara Arslanova, Sören Hese, Marcel Fölsch, Friedemann Scheibler, Christiane Schmullius

“…The study investigates the data and sample complexity required to develop an effective machine/deep learning (ML/DL) model, using techniques such as the Jeffries-Matusita Distance for assessment of class separability and feature importance ranking for feature and layer selection, semivariogram analysis for determining minimum sample patch sizes.The results demonstrate distinct classification capabilities based on spectral information in differentiating between sub-classes such as weed infestation, bare soil, disturbed canopy areas, and undisturbed canopy areas. …”
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Complex Approach to the Conversion of Existing Refrigeration Systems to A2L Group Refrigerants by Serhii M. Molskyi, Oleksandr S. Molskyi, Anna L. Vorontsova

Genomic signal selection analysis reveals genes related to the lambing trait of Hotan sheep by XinKun Wang, Wei Li, QiaoYan Huang, HuiPing Sun, LeXiao Zhu, RuoHuai Gu, Feng Xing

“…Objective Lambing in ewes is a complex and crucial aspect of sheep production that directly influences economic viability and production efficiency. …”
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Improved Low-Complexity, Pilot-Based Channel Estimation for Large Intelligent Surface Systems by Ali Gashtasbi, Mário Marques da Silva, Rui Dinis

“…In Large Intelligent Surface (LIS) systems, achieving accurate channel estimation is essential for enhancing communication quality and system efficiency. The main focus of this study is on using the Least Squares (LS) method to estimate pilot-based channels. …”
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An improved Red-billed blue magpie feature selection algorithm for medical data processing. by Chenyi Zhu, Zhiyi Wang, Yinan Peng, Wenjun Xiao

“…Experiments demonstrate that IRBMO exhibits high efficiency, generality and excellent generalization ability in feature selection tasks. …”
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Research on Virtual Color Restoration of Complex Building System Based on Discrete Wavelet Transform by Chunqiao Song, Xutong Wu

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Selective Separation of Scandium in Acidic Water Using Carboxyl Functionalized Covalent Phosphonitrile Polymers by Yu BAI, Ayinuer WUSHUER, Lei OUYANG, Lijin HUANG, Qin SHUAI

“…Considering that acid treatment is often required when processing raw materials such as Sc containing tailings, it is crucial to prepare adsorbents that can efficiently and selectively recover Sc(III) in acidic media.　　…”
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The complex world of eutectic solvents: Guidelines for a correct characterization and use in sample preparation by Chiara Dal Bosco, Massimo Giuseppe De Cesaris, Lorenzo Antonelli, Nina Felli, Alessandra Gentili

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USING THE GENERAL ELECTRIC / MCKINSEY MATRIX IN THE PROCESS OF SELECTING THE CENTRAL AND EAST EUROPEAN MARKETS by Nicolae Răzvan Decuseară

“…Due to the large number and diversity of markets that can choose, analyze of the market attractiveness and the selection the most interesting is a complex process. …”
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An Integrated Node Selection Model Using FAHP and FTOPSIS for Data Retrieval in Ubiquitous Computing by Belal Z. Hassan, Ahmed. A. A. Gad-Elrab, Mohamed S. Farag, Shaban E. Abo Youssef

“…In this paper, to assist users to efficiently select their most preferred service provider for retrieving data, a new fuzzy integrated multicriteria decision-making model, which meets quality of context (QoC) and quality of service (QoS) and satisfies user quality requirements and needs, is proposed. …”
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The effect of the strategy to nominate ideas on divided and selective attention and perform some volleyball skills by Fadya Abdul Hussein Kadhim, Alyaa Hussein Farhan, Tahseen Husnl Tahseen, Suhad Qassem Saeed Al-Mousawi, Haider Radhi Raheem

“…This suggests that implementing cognitive strategies such as the nomination of ideas can positively influence attentional focus, enabling athletes to process information more efficiently and execute complex skills with greater precision. …”
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PCMINN: A GPU-Accelerated Conditional Mutual Information-Based Feature Selection Method by Nikolaos Papaioannou, Georgios Myllis, Alkiviadis Tsimpiris, Stamatis Aggelopoulos, Vasiliki Vrana

“…The parallelized approach allows for the efficient processing of large datasets, making PCMINN a valuable tool for high-dimensional feature selection tasks. …”
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SmartRipen: LSTM-GRU feature selection& XGBoost-CNN for fruit ripeness detection by Archana Ganesh Said, Bharti Joshi

“…A Bacterial Foraging Optimizer (BFO) built around variance maximization retains high-density as well as discriminative features during feature selection. A novel Convolutional XGBoost Network (CXGBN) combines CNN's completely connected layers with XGBoost classifications for enhanced efficiency. …”
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Federated Learning for Fall Detection With Multimodal Residual Fusion and Pareto-Optimized Client Selection by Bao-Quan Wang, Fan Yang, Yi Wang, Fan Zhao, Yun-Fei Han, Yu-Peng Ma

“…Finally, a Pareto-optimized client selection method is introduced to efficiently select reliable clients for global aggregation, ensuring both the stability and robustness of the global model. …”
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Hydrothermal leaching behavior of a complex polymetallic secondary sulfide concentrate enhanced by ultrasonication by Liu Q.F., Liao Y.L., Li J.L., Wu M.

“…Complex polymetallic secondary sulfide concentrate (CPSSC) is difficult to be efficiently utilized because of its special mineral phase structure and high lead and iron content. …”
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