Evaluation of various varieties of peas as raw material for deep processing by V. G. Goldstein, L. P. Nosovskaya, L. V. Adikaeva, V. A. Kovalenok

“…As evaluation criteria determining high technological properties, providing the most complete extraction of starch and protein isolate there have been selected coefficients of extraction of these components. …”
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Optimized rock physics model implementation to characterize the heterogeneous B-interval reservoir facies in the petro-elastic domain, mubarak block, lower indus basin, Pakistan by Muyyassar Hussain, MonaLisa, Zahid U. Khan, Syed A. Ahmed

“…The accuracy of the selected model was authenticated by statistical measures, i.e., good prediction quality, high correlation coefficient, along with less normalized root mean square error for modeled Vp, Vs and density. …”
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Assessment of pollution and risk of soil pollution in Bor using different indices by Nikolić Violeta, Staletović Novica, Presburger-Ulniković Vladanka, Jovanović Ivan

“…Pearson's correlation coefficients indicated a strong correlation between Cu and Pb (0.887), Cu and As (0.953), Pb and As (0.960) and Cr and Ni (0.889). …”
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Streamlined Bearing Fault Detection Using Artificial Intelligence in Permanent Magnet Synchronous Motors by Javier de las Morenas, Lidia M. Belmonte, Rafael Morales

“…Permanent magnet synchronous motors (PMSMs) are widely used in industrial applications due to their high efficiency and reliability. However, bearing faults remain a critical issue, necessitating robust fault detection strategies. …”
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A hybrid blockchain-based solution for secure sharing of electronic medical record data by Gang Han, Yan Ma, Zhongliang Zhang, Yuxin Wang

“…To address the inherent complexity of managing multiple blockchains, a unique cross-chain signature algorithm is introduced, based on the Boneh-Lynn-Shacham (BLS) signature aggregation technique. …”
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BER performance analysis of polar-coded FBMC/OQAM in the presence of AWGN and Nakagami-m fading channel by Tadele A. Abose, Fanuel O. Ayana, Thomas O. Olwal, Yihenew W. Marye

“…It offers several advantages over traditional orthogonal frequency-division multiplexing (OFDM) modulation, including higher spectral efficiency, lower out-of-band emission, and improved robustness to time-frequency selective channels. …”
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An Interpretable Hybrid Deep Learning Model for Molten Iron Temperature Prediction at the Iron-Steel Interface Based on Bi-LSTM and Transformer by Zhenzhong Shen, Weigang Han, Yanzhuo Hu, Ye Zhu, Jingjing Han

“…This paper proposes an interpretable hybrid deep learning model combining Bi-LSTM and Transformer to solve the complexity of temperature drop prediction. By leveraging Catboost-RFECV, the most influential variables are selected, and the model captures both local features with Bi-LSTM and global dependencies with Transformer. …”
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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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Evaluation and modeling of traffic noise in an urban area of Chhattisgarh, India by Vishal Kumar, Ajay Vikram Ahirwar, A. D. Prasad

“…Half of the locations were selected for validation of results, and half were selected for studying the best-suited model for our selected area. …”
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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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Establishment of Hyperspectral Prediction Model of Water Content in Anshan-Type Magnetite by Xiaoxiao XIE, Yang BAI, Jiuling ZHANG, Yuna JIA

“…However, due to the complexity of iron ore composition and properties, traditional detection techniques (such as loss on drying method and resistance method) have shortcomings in sensitivity and accuracy. …”
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