High-Throughput Indirect Monitoring of TORC1 Activation Using the pTOMAN-G Plasmid in Yeast by Melissa Gómez, Guilherme Rocha, Diego Ruiz, Claudio Martínez, Francisco Salinas, Eduardo Kessi-Pérez

“…This protocol proved to be an efficient alternative to assess TORC1 pathway activation compared to techniques based on immunoblot detection, which, although effective, are considerably more laborious. …”
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Spectrum‐sensing algorithm based on graph feature fusion by Shanshan Wu, Guobing Hu, Bin Gu

“…Thus, compared to existing algorithms, except block range‐ and energy‐detection‐based methods, the proposed algorithm demonstrates the best spectrum‐sensing performance under low SNRs and channel‐fading conditions, while achieving the lowest computational complexity. …”
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Extracellular electron transfer based methylotrophic methanogenesis in paddy soil and the prevalent Methanomassiliicoccus by Lingyan Li, Xuping Tian, Xuemeng Wang, Chuan Chen, Qi Zhou, Lei Qi, Jie Li, Kai Xue, Fangjie Zhao, Yanfen Wang, Xiuzhu Dong

“…Chronoamperometry detected efficient methane production by M. luminyensis CZDD1 and two paddy soils from methanol and dimethylarsenate in accompany with current consumption. …”
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Cardiovascular risk profile in patients with arterial hypertension who first seek medical attention by D. V. Nebieridze, T. V. Kamyshova, A. A. Sarycheva, A. S. Safaryan

“…After the risk assessment, all patients underwent an echo-cardiography, duplex ultrasonography screening of the brachiocephalic arteries and determination of microalbuminuria to detect target organ damage. According to results of a complex survey, the risk was reclassified based on the presence of target organ damage.Results. …”
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Single or multiple arterial grafting to design a coronary bypass: a retrospective study by A. V. Frolov, N. I. Zagorodnikov, R. S. Tarasov, E. V. Grigoriev

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Smart Clove Oil Distillation System using IoT and Ultrasonic Sensors by Ihwana As'ad, Andi Muhammad Rahmatullah, Syahrul Mubarak Abdullah, Fahmi Fahmi, Hariani Ma'tang Pakka, Andiyan Andiyan

“…Furthermore, the modular container design promotes gravity-assisted separation, enhancing energy efficiency and reducing mechanical complexity. The remote monitoring feature allows users to access real-time data on fluid levels and system status, ensuring reliable operation with minimal manual supervision. …”
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Comparative study of microstructure and mechanical properties of 2195-xSc Al–Li alloys with ultrasonic treatment by Anqing Li, Ripeng Jiang, Ruiqing Li, Aolei Fu, Li Zhang

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Correction of Wavefront Distortion in Common Aperture Optical Systems Based on Freeform Lens by Jiadong Yu, Xianglong Mao

“…The common aperture optical system enhances light utilization efficiency during the imaging process by utilizing a single shared aperture. …”
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Uses of Molecular Docking Simulations in Elucidating Synergistic, Additive, and/or Multi-Target (SAM) Effects of Herbal Medicines by Sean P. Rigby

“…The aim of this work was to review the uses of molecular-docking simulations in the detection and/or elucidation of SAM effects with herbal medicines. …”
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User-cooperative dynamic resource allocation for backscatter-aided wireless-powered MEC network by Huaiwen He, Chenghao Zhou, Feng Huang, Hong Shen, Yihong Yang, Shangsong Liang, Xinyuan Jin

“…Abstract Backscatter communication, which transmits information by passively reflecting radio frequency (RF) signals, has become a focal point of interest due to its potential to significantly enhance the energy efficiency of Wireless Power (WPMEC) networks and extend the operational lifespan of terminal devices. …”
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Recycling of Lithium Iron Phosphate Batteries: From Fundamental Research to Industrialization by Yue Wang, Xiaohong Zheng, Dingshan Ruan, Shili Zheng, Hongbin Cao, Changdong Li, Zhi Sun

“…It concludes that direct regeneration has greater application potentials but remains at an initial research stage while indirect regeneration is suitable for situations with complex raw materials or high-value resource reserves. …”
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Numerical insights into enhanced heat transfer mechanisms in TiO2-Au ethylene glycol nanofluids within Darcy porous media using fractional calculus by Mumtaz Khan, Dianchen Lu, Mudassar Imran, Muhammad Shoaib Anwar

“…The complex fractional partial differential equations governing the system are solved numerically using the finite difference method in combination with the L1 algorithm, ensuring an efficient and accurate solution process. …”
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Analysis of financial and economic indicators, characterizing the activities of organizations in the oil and gas industry by L. A. Chaldaeva, T. I. Chinaeva, A. S. Bogopolskiy

“…Revenues from the activities of the oil and gas complex make a significant contribution to the country’s GDP and are a significant component of the budget.In this paper, an analysis of a number of financial and economic indicators, characterizing the activities of organizations of the oil and gas complex was carried out. …”
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An overview of the research on the correlation between solar energy utilization potential and spatial morphology by Dexin Li, Xiurong Cui, Ligang Shi, Yuan Li

“…The review shows that most of the studies in this field mainly employ geometric and descriptive morphological parameters to indirectly reflect the neighborhood relationship of buildings, while more complex multi-dimensional parameters or performance parameters characterizing building properties remain to be explored. …”
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Advances and applications of empirical mode decomposition and its variants in hydrology: A review by CHEN Yunfei, LIU Zuyu, LIU Xiuhua, HE Junqi, ZHENG Ce, MA Yandong

“…Hydrological series are influenced by climate change, ecological succession, and human activities, containing complex, multi-layered, and interactive information that reflects highly non-linear and non-stationary characteristics. …”
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High-performance traffic volume prediction: An evaluation of RNN, GRU, and CNN for accuracy and computational trade-offs by Pranolo Andri, Saifullah Shoffan, Bella Utama Agung, Wibawa Aji Prasetya, Bastian Muhammad, Hardiyanti P Cicin

“…Predicting urban traffic volume presents significant challenges due to complex temporal dependencies and fluctuations driven by environmental and situational factors. …”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Abstract Biomedical IoT, predictive modeling, disease diagnosis, and temporal data analysis have become essential components in modern healthcare systems. Accurate and efficient predictive disease modeling is crucial in biomedical IoT for early detection and intervention, yet existing models like LSTM and XGBoost face limitations in handling the complexity and temporal nature of health data streams. …”
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A Validation Tool (VaPCE) for Postcoordinated SNOMED CT Expressions: Development and Usability Study by Tessa Ohlsen, Viola Hofer, Josef Ingenerf

“… Abstract BackgroundThe digitalization of health care has increased the demand for efficient data exchange, emphasizing semantic interoperability. …”
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A robust covariate‐invariant gait recognition based on pose features by Anubha Parashar, Apoorva Parashar, Rajveer Singh Shekhawat

“…Abstract Gait recognition uses video of human gait processed by computer vision methods to identify people based on walking style. The complexity introduced by covariates makes the previous methods less efficient and inaccurate. …”
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Unified Ecosystem for Data Sharing and AI-Driven Predictive Maintenance in Aviation by Igor Kabashkin, Vitaly Susanin

“…The aviation industry faces considerable challenges in maintenance management due to the complexities of data standardization, data sharing, and predictive maintenance capabilities. …”
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