PO20 | Impact of endovascular treatment on functional outcome in ischemic stroke: a real-world retrospective study

“…Discussion: This study highlights the complex interplay of clinical and procedural factors influencing outcomes after MT. …”
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Dynamic Relationship between the Iranian Stock Market and Commodity Markets: A TVP-VAR Approach and Portfolio Optimization by Hadi Esmaeilpour, Emad Sharifbagheri

“…The TVP-VAR method is particularly well-suited for examining complex and dynamic financial relationships due to its unique characteristics, such as the elimination of random window selection requirements and reduced sensitivity to outlier observations. …”
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Numerical Optimization of Metamaterial-Enhanced Infrared Emitters for Ultra-Low Power Consumption by Bui Xuan Khuyen, Pham Duy Tan, Bui Son Tung, Nguyen Phon Hai, Pham Dinh Tuan, Do Xuan Phong, Do Khanh Tung, Nguyen Hai Anh, Ho Truong Giang, Nguyen Phuc Vinh, Nguyen Thanh Tung, Vu Dinh Lam, Liangyao Chen, YoungPak Lee

“…This study addresses the challenges of high-power consumption and complexity in conventional infrared (IR) gas sensors by integrating metamaterials and gold coatings into IR radiation sources to reduce radiation loss. …”
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Environmental innovations as factor of development of petrochemical industry in Russia by A. I. Shinkevich, S. S. Kudryavtseva, Yu. N. Khakimullin, M. I. Farakhov

“…Objective: development of methodological tools for assessing resource efficiency and analysis of the processes of introducing environmental innovations in the petrochemical complex. …”
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COMPETITIVE ADVANTAGES OF USING INTELLECTUAL CAPITAL by R. V. Faisullin, O. V. Abasheva, I. I. Chichenkov, A. I. Rokov

“…Introduction of intelligent technologies in production activities allows you to maximize production efficiency, which reflects the relevance of this research. …”
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Modern Educational Building in Late Ottoman Istanbul: Haydarpaşa German School by Çağdaş Çankaya, Aras Kahraman

“…Archival records reveal complex negotiations between the Ottoman administration and the German Embassy, reflecting broader geopolitical and cultural imperialist dynamics. …”
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DBF‐Net: A Deep Bidirectional Fusion Network for 6D Object Pose Estimation with Sparse Linear Transformer by Xuan Fan, Tao An, Hongbo Gao, Tao Xie, Lijun Zhao, Ruifeng Li

“…A deep bidirectional fusion network is developed, DBF‐Net, achieving efficient yet accurate 6D object pose estimation. Specifically, a sparse linear Transformer (SLT) with linear computation complexity is introduced to effectively leverage cross‐modal semantic resemblance during the feature extraction stage, such that it fully models semantic associations between various modalities and efficiently aggregates the globally enhanced features of each modality. …”
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SMoFFI-SegFormer: a novel approach for ovarian tumor segmentation based on an improved SegFormer architecture by Qiuyin Xie, Jianuo Huang, Jingyang Sun, Chenxi Huang, Caixu Xu

“…Ovarian cancer remains one of the most lethal gynecological malignancies, posing significant challenges for early detection due to its asymptomatic nature in early stages. …”
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Failure State Identification and Fault Diagnosis Method of Vibrating Screen Bolt Under Multiple Excitation of Combine Harvester by Jiaojiao Xu, Tiantian Jing, Meng Fang, Pengcheng Li, Zhong Tang

“…Bolt loosening, a critical failure mode at the joints of various working parts of combine harvesters, is a prevalent concern. The complexity and heterogeneity of vibration signals in these machines present a considerable challenge for the timely and accurate detection of bolt loosening. …”
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The role of phenolic OH groups of flavonoid compounds with H-bond formation ability to suppress amyloid mature fibrils by destabilizing β-sheet conformation of monomeric Aβ17-42. by Sahar Andarzi Gargari, Abolfazl Barzegar, Alireza Tarinejad

“…Myricetin, morin and flavone penetrated into the core of the Aβ17-42 and formed self-clusters of Aβ17-42-flavonoid complexes. Analysis of Aβ17-42-flavonoids interactions identified that the hydrophobic interactions related to SASA-dependent energy are weak in all complexes. …”
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GPU-Based Implementation of Pruned Artificial Neural Networks for Digital Predistortion Linearization of Wideband Power Amplifiers by Wantao Li, Raul Criado, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

“…This paper presents a feature selection technique based on <inline-formula><tex-math notation="LaTeX">$\ell _{1}$</tex-math></inline-formula> regularization to select the most relevant weights of artificial neural networks (ANNs) for digital predistortion (DPD) linearization of wideband radio-frequency (RF) power amplifiers (PAs). …”
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Integration of Artificial Neural Network in a IEEE 5 BUS System by T. L. Makosso, A. Almaktoof, K. Abo-Al-Ez

“…The data collected from that phase to phase voltage fault are computed and train in the proposed model and proves the higher efficiency and ability to detect faults or abnormal disturbances. …”
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Intersection collision prediction and prevention based on vehicle-to-vehicle (V2V) and cloud computing communication by Min Zeng, Mohd Sani Mohamad Hashim, Mohd Nasir Ayob, Abdul Halim Ismail, Qiling Zang

“…In modern transportation systems, the management of traffic safety has become increasingly critical as both the number and complexity of vehicles continue to rise. These systems frequently encounter multiple challenges. …”
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Path Planning for Lunar Rovers in Dynamic Environments: An Autonomous Navigation Framework Enhanced by Digital Twin-Based A*-D3QN by Wei Liu, Gang Wan, Jia Liu, Dianwei Cong

“…A high-fidelity digital twin simulation environment integrates a YOLOv5-based multimodal perception system for real-time obstacle detection and distance estimation. Experimental validation across low-, medium-, and high-complexity scenarios demonstrates superior performance: the method achieves shorter paths, zero collisions in dynamic settings, and 30% faster convergence than baseline D3QN. …”
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Cleaning of Abnormal Wind Speed Power Data Based on Quartile RANSAC Regression by Fengjuan Zhang, Xiaohui Zhang, Zhilei Xu, Keliang Dong, Zhiwei Li, Yubo Liu

“…The combined complexity of wind turbine systems and harsh operating conditions pose significant challenges to the accuracy of operational data in Supervisory Control and Data Acquisition (SCADA) systems. …”
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Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks by Mabrook S. Al-Rakhami, Salman A. AlQahtani, Abdulaziz Alawwad

“…To evaluate the proposed architecture, we tested it on three datasets of varying complexity and size. The results demonstrate the applicability of the proposed solution and its efficiency for skin cancer classification.…”
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Multi-convolutional neural network brain image denoising study based on feature distillation learning and dense residual attention by Huimin Qu, Haiyan Xie, Qianying Wang

“…Noise in acquisition and transmission degrades image quality and affects the reliability of diagnosis and research. Due to the complexity of the brain's structure and minor density differences, noise can increase diagnosis difficulty, so high-quality images are essential for disease detection, prognosis assessment, and treatment plan development. …”
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High-Level Synthesis of In-Circuit Assertions for Verification, Debugging, and Timing Analysis by John Curreri, Greg Stitt, Alan D. George

“…Despite significant performance and power advantages compared to microprocessors, widespread usage of FPGAs has been limited by increased design complexity. High-level synthesis (HLS) tools have reduced design complexity but provide limited support for verification, debugging, and timing analysis. …”
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Solutions on Establishing and Utilizing BIM for General Contractors in Key Scenarios of Digital Construction by Yang Peng, Fangqiang Yu, Ming Zhang, Jinglin Xu, Shang Gao

“…Third, the new model storage and indexing method are designed to reduce the complexity of model data and support rapid data retrieval, and a new BIM change detection method based on object metadata is provided. …”
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Energy aware computer vision algorithm deployment on heterogeneous architectures by Teymoor Ali, Deepayan Bhowmik, Robert Nicol

“…Abstract Computer vision algorithms, specifically convolutional neural networks (CNNs) and feature extraction algorithms, have become increasingly pervasive in many vision tasks. As algorithm complexity grows, it raises computational and memory requirements, which poses a challenge to embedded vision systems with limited resources. …”
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