Echocardiographic Screening for Transcatheter Edge-to-Edge Mitral Valve Repair: Correlation Between Transthoracic and Transesophageal Assessment by Michela Bonanni, Fausto Pizzino, Giovanni Benedetti, Rosangela Capasso, Rachele Manzo, Giuseppe Iuliano, Giancarlo Trimarchi, Andreina D’Agostino, Umberto Paradossi, Alessia Gimelli, Sergio Berti, Massimiliano Mariani

“…Three levels of anatomic complexity were defined to determine eligibility for TEER. …”
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On an RNA-Membrane Protogenome by Michael Yarus

“…Efficient evolution exists before DNA, else the DNA genome itself could not evolve. …”
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Atmospheric Heating Events Associated with Fine-scale Flux Emergence in Ephemeral Regions by Hanlin Yang, Jingxiu Wang, Chunlan Jin

“…It is commonly believed that the source of coronal heating comes from the Sun’s magnetic field, and more complex magnetic dynamics are more efficient in heating. …”
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A Novel Adaptive Independent Component Analysis Method for Multi-Channel Optically Pumped Magnetometers’ Magnetocardiography Signals by Shuang Liang, Jiahe Qi, Junhuai He, Yikang Jia, Aimin Wang, Ting Zhao, Chaoliang Wei, Hongchen Jiao, Lishuang Feng, Heping Cheng

“…With the gradual maturation of optically pumped magnetometer (OPM) technology, the use of OPMs to acquire weak magnetocardiography (MCG) signals has started to gain widespread application. Due to the complexity of magnetic environments, MCG signals are often subject to interference from various unknown sources. …”
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Development of a machine learning-based surrogate model for friction prediction in textured journal bearings by Yujun Wang, Georg Jacobs, Shuo Zhang, Benjamin Klinghart, Florian König

“…Surface textures in journal bearings offer significant potential for reducing friction and enhancing energy efficiency. However, the complexity of texture configurations necessitates an accurate and efficient performance prediction model to properly design textured journal bearings. …”
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Analyzing the Efficacy of Computer-Aided Detection in Cerebral Aneurysm Diagnosis Using MRI Modality: A Review by Keerthi A. S. Pillai, Preena K. P., Madhu S. Nair

“…CNNs have proven to be a crucial component in improving the accuracy and efficiency of aneurysm detection by automatically learning features from raw imaging data, bypassing the need for manual feature extraction. …”
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Capacitive deionisation for water desalination review: experimental and simulation by Rokhsareh Akbarzadeh, Mathias Ernst, Robert Meißner, Bodo Fiedler

“…Key working principles and advancements, including innovations in electrode materials, synthesis methods, and reactor design, are examined to improve ion removal efficiency, selectivity, energy use, and system durability. …”
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Measurement and assessment of human resources in information economy: substantive and methodological aspect by Krasova Elena

“…The following weaknesses of the existing methodical base were identified: lack of a unified understanding of the category of “human resources” and some related categories, complexity of selecting indicators and indirectness of assessments, mixing different types of indicators in one measurement procedure, shift towards assessing the socio-demographic component, underestimation of feedback in the interaction of human resources with the economic, social, institutional environment, underdeveloped synthesis of traditional and digital methods. …”
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Secure and Lightweight Cipher for Resource-constrained IoT Healthcare Applications using Snake Key Generation by Saja Kareem Ismael, Mohamed Ibrahim Shujaa, Ahmed Bahaaulddin A. Alwahhab

“…This study aims to provide a comprehensive and comparative analysis to support the continued evolution of secure, efficient and scalable cryptographic solutions within IoT healthcare, demonstrating the importance of selecting the most effective key generation technique to address the unique security challenges of this new field. …”
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AHA: Design and Evaluation of Compute-Intensive Hardware Accelerators for AMD-Xilinx Zynq SoCs Using HLS IP Flow by David Berrazueta-Mena, Byron Navas

“…We outline criteria for selecting algorithms to improve speed and resource efficiency in HLS design. …”
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Fast Adaptive CU Partition Decision Algorithm for VVC Intra Coding by Lina Si, Wendi Zhu, Qiuwen Zhang

“…However, when the CU selects the division type, it needs to traverse all possible division types and compute the Rate-distortion (RD) cost, which greatly enhances the coding complexity. …”
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Version [1.1] - [MakeDecision: Online system for the graphical design of decision-making models in crisp and fuzzy environments] by Jakub Więckowski, Wojciech Sałabun

“…The updated tool includes a wide range of new techniques that broaden the comprehensiveness of calculations, enabling the development of more complex and robust decision models. These additions include new Multi-Criteria Decision Analysis (MCDA) methods for both crisp and fuzzy environments, as well as new distance metrics, normalization techniques, defuzzification methods, and correlation coefficients. …”
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The use of non-traditional plant raw materials for the recipe composition of chips by O. V. Perfilova, K. V. Bryksina, Z. Y. Rodina

“…The production of multicomponent chips is currently relevant, since the combination in the formulation of various plant ingredients rich in physiologically active substances can ensure that the finished product contains a complex of functional components. The article investigates the possibility of using plant materials such as apple pomace puree, pumpkin puree, corn flour and calendula powder when creating a recipe composition for new types of chips for healthy diet. …”
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Investigating employment patterns and determinants in the European Union through panel data insights by Vasilescu Maria Denisa, Stănilă Larisa, Crivoi Silvana, Belu Maria Berta

“…The selected indicators covered the economic, educational, and social dimensions, providing a complex vision of employment and how it can be improved. …”
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MTGNet: Multi-Agent End-to-End Motion Trajectory Prediction with Multimodal Panoramic Dynamic Graph by Yinfei Dai, Yuantong Zhang, Xiuzhen Zhou, Qi Wang, Xiao Song, Shaoqiang Wang

“…Additionally, it enables accurate and efficient multi-modal multi-agent trajectory prediction. …”
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The Effect of Occupancy and Environmental Physical Variables on Classrooms’ Natural Ventilation: A Path Modeling Approach by Rogério Duarte, António Moret Rodrigues, Fernando Pimentel, Maria da Glória Gomes

“…In spite of the statistical significance of the path model as a whole and its detailed causal relationships (direct, indirect, and feedback), only 58% of classroom ventilation variance is explained by the selected input variables. Because naturally ventilated classrooms depend significantly on occupants’ interactions with the built environment, i.e., opening/closing windows and blinds, extending path modeling to include additional personal and context-related drivers of occupants’ behavior would allow for further insights into the complex multi-domain topic of natural classroom ventilation.…”
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Highly parallel optimisation of chemical reactions through automation and machine intelligence by Joshua W. Sin, Siu Lun Chau, Ryan P. Burwood, Kurt Püntener, Raphael Bigler, Philippe Schwaller

“…Our approach effectively navigates the complex reaction landscape with unexpected chemical reactivity, outperforming traditional experimentalist-driven methods. …”
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Copper-catalyzed enantioselective three-component radical 1,4-perfluoroalkylamination of 1,3-dienes by Xiaoyan Shangguan, Lihan Zhu, Yingzi Zhang, Yan Li, Qian Zhang

“…Abstract Catalytic enantioselective three-component aminative difunctionalization of readily available 1,3-dienes offers a straightforward methodology to fast access significant and complex chiral allylic amines. Nevertheless, compared to the widely studied two-component reactions, the three-component reactions, especially using anilines—very common bulk feedstock chemicals as aminating reagents are underdeveloped. …”
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Multi-Viewpoint Assessment of Urban Waterfront Skylines: Fractal and Spatial Hierarchy Analysis in Shanghai by Jian Zhang, Yi Wang, Xi Luo, Wen-Lei Luan

“…The framework consists of: (1) selecting eight representative viewpoints along the Huangpu River using visual cognition theory and GIS tools; (2) calculating skyline contour complexity using fractal dimension models; (3) establishing spatial hierarchy coefficients to measure depth gradients of building clusters; and (4) validating the results through visual field analysis and local skyline planning guidelines. …”
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Generalized MPC-DSVPWM Methods: Reduction Techniques and Explainable Machine Learning With Conformal Prediction for PMSM Drives by Hasan Ali Gamal Al-Kaf, Sadeq Ali Qasem Mohammed, Kyo-Beum Lee

“…Additionally, machine learning methods have been implemented; however, they require complex optimization methods, as the classification number increases exponentially with the level of the inverter. …”
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