Affinity‐Based Isolation and One‐Pot Analysis of Extracellular Vesicles from Biofluids Using Phase Separated Zwitterionic Coacervates by Francesca Torrini, Roberto Frigerio, Jonathan Garlipp, Philippe Lenzen, Karl Normak, Carolina Paganini, Marina Cretich, Alessandro Gori, Paolo Arosio

“…However, their heterogeneous nature poses challenges for efficient and selective isolation from complex biofluids. …”
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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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Performance Analysis of Superposition M-ary QAM Modulation in Coded Protograph LDPC MIMO Communication Systems With Low-Resolution ADCs by Duc A. Hoang, Hieu T. Nguyen, Thang N. Le

“…However, aggressive quantization significantly increases detection complexity—particularly for high-order modulation schemes—due to elevated noise and interference. …”
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Building electrical consumption patterns forecasting based on a novel hybrid deep learning model by Nasser Shahsavari-Pour, Azim Heydari, Farshid Keynia, Afef Fekih, Aylar Shahsavari-Pour

“…Accurate prediction of electrical energy consumption in smart buildings is a critical challenge for optimizing energy management systems, reducing costs, and improving overall efficiency. Existing models often fail to account for the complex and nonlinear characteristics of energy consumption patterns, resulting in suboptimal prediction performance. …”
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Directions of the environmental protection processes optimization at heat power engineering enterprises by Hurets L. L., Kozii I. S., Miakaieva H. M.

“…The optimization of the environmental protection process involves the choice of the physical-chemical factors such as: thermodynamic, kinetic, mass- and heat-exchanging, hydrodynamic, influence parameters on the heterogeneous, complex systems. According to the results of the systems analysis of impact factors on the efficiency of environmental protection processes, it is suggested to optimize the cleaning equipment due to classified and structural parameters, which would allow design the systematic approaches to the selection of environmental protection equipment in future. …”
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SiAkif-Bots: Gemini AI for Academic Service Chatbots by Bunga Laelatul Muna, Sudianto Sudianto, Muhammad Lulu Latif Usman

“…To overcome this challenge, a Telegram-based chatbot, "SiAkif," was developed using the Large Language Model (LLM) model from Gemini AI. Gemini AI's selection is based on its ability to understand complex conversational contexts and generate accurate and relevant responses. …”
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Numerical and experimental analysis of muzzle brake thermo-mechanical load by Nenad Miloradović, Dejan Jevtić

“…A comparative analysis of the brake’s working cycle, with and without projectile movement, revealed that the presence of a projectile significantly affects the temperature distribution and the maximum brake and compensator forces during the movement period, while its influence on forces impulses and brake efficiency is much smaller. This type of numerical analysis enables better optimization of brake design parameters and material selection for improved resistance and erosion prevention.…”
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Acoustic spectra processing for the determination of cavitation threshold in a high-frequency sonoreactor in water and PEG mixtures from 1 to 54 mPa.s by V. Avramovic, L. Hallez, C. Inserra, J-Y Hihn

“…The study of sonochemical activity and efficiency in a high frequency reactor (575 kHz) provides an opportunity to take an interest in the step-by-step implementation of a hydrophone measurement, from selection of the device to recording procedures, and especially signal processing with selection and extraction of the two most relevant probes: 3F0/2 magnitudes useful for detecting stable cavitation and cumulative integration of broadband noise and its interpretation (slope discontinuity) to get an indication of transient cavitation appearance. …”
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Research on the Spatial Location Design of Guidance Signage Systems to Connect the Space of Transit-Orientated Development Sites Based on Multi-Software Analysis by Xue Ma, Qingjuan Yang

“…This is essential for enhancing user navigation efficiency, minimizing confusion, and improving overall spatial usability in complex environments.…”
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Institutions and economic growth: An examination of their correlation in Bosnia and Herzegovina by Amra Babajić, Mirnesa Baraković Nurikić, Nisad Karabegović

“…Conclusion: One of the key challenges for economically, politically, socially, and religiously complex, small, and open countries like Bosnia and Herzegovina is the development of adequate, efficient, transparent, and corruption-free institutions.…”
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Understanding ChatGPT adoption for data analytics learning: A UTAUT perspective among social science students in Oman by Suliman Zakaria Suliman Abdalla

“…Descriptive findings reveal that students highly value ChatGPT's capability to simplify complex data analytics concepts and assist in selecting appropriate analytical methods. …”
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Numerical Simulation of the Hot Isostatic Pressing Densification Behavior of Ti6Al4V Powder for a Thin-Walled Tubular Component with Non-Axisymmetric Inner Ribs by Yanqing Jiang, Lin Geng, Guofeng Zhang

“…Hot isostatic pressing (HIP) technology is an efficient near-net-shape forming method to prepare complex-shaped structural components. …”
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Crowdsourcing Evaluation of Video Summarization Algorithm by Avrajyoti Dutta, Dawid Juszka, Mikołaj Leszczuk

“…An experimental comparison was conducted with respect to presentation order and random selection methods. A content-based video segmentation was also used to represent different levels of complexities and visual richness. …”
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A Novel Approach to Multi-Class Crack Classification: ResNet50 Enhanced with Squeeze-and-Excitation Blocks by Mazleenda Mazni, Abdul Rashid Husain, Devi Willieam Anggara, Mohd Ibrahim Shapiai, Riyadh Zulkifli, Munirah Onn

“…Unlike conventional models, which lack feature recalibration capabilities, the embedded SE block adaptively enhances channel-wise feature importance, significantly improving crack detection performance under complex conditions such as lighting variations and background noise. …”
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Research on recognition of diabetic retinopathy hemorrhage lesions based on fine tuning of segment anything model by Sujuan Tang, Qingwen Wu

“…Abstract Diabetic Retinopathy (DR) demands precise hemorrhage detection for early diagnosis, yet manual identification faces challenges due to hemorrhagic lesions’ varied sizes, complex shapes, and color similarities to surrounding tissues, which obscure boundaries and reduce contrast. …”
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Exploring cluster formation in uranium oxidation using high resolution X-ray spectroscopy at elevated temperatures by Elena F. Bazarkina, Stephen Bauters, Yves Watier, Stephan Weiss, Sergei M. Butorin, Kristina O. Kvashnina

“…Understanding its high-temperature behavior is crucial for developing new uranium-based materials and improving nuclear fuel efficiency in nuclear reactors. Here we study the evolution of uranium state during the oxidation of UO2 in air at temperatures up to 550 °C using the in situ X-ray absorption spectroscopy in high energy resolution fluorescence detection mode at the U M4 edge, combined with electronic structure calculations. …”
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Research on a traffic flow statistical algorithm based on YBOVDT and SAM2 by Yuanyuan Wang, Zheng Ding, Jiange Liu, Kexiao Wu, Md Sharid Kayes Dipu, Tingmei Ma, Yonghao Ma, Haiyan Zhang

“…The closed-set object detection algorithms they employ can only perform detections based on fixed categories, which leads to limited recognition scope and weak model generalization ability.Moreover, the tracking algorithms used are unstable and have low computational efficiency. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…The localization errors for the endpoints of the horizontally propagating fractures are consistently below 2%, proving the reliability of this method for real-time monitoring and early warning of fracture propagation.In contrast, the vertical propagation of fractures presents a more complex scenario. When the fracture propagates upwards, the "shielding effect" caused by the overlying fracture significantly hinders the GPR signal's ability to detect the lower fracture tip. …”
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An approach to arousal disorder classification using deformable convolution and adaptive multiscale features in EEG signals by Andia Foroughi, Fardad Farokhi, Fereidoun Nowshiravan Rahatabad, Alireza Kashaninia

“…Our proposed model, a hierarchical multiscale deformable attention module, excels at detecting complex and abnormal patterns in EEG data. …”
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Magnetic Resonance Imaging Brain Segmentation Using Bi-Directional Convolutional Long Short-Term Memory U-Net With Densely Connected Convolutions by Meshari D. Alanazi, Amna Maraoui, Imen Werda, Ahmed Ben Atitallah, Turki M. Alanazi, Mohammed Albekairi, Anis Sahbani, Amr Yousef

“…With 8.81 million parameters and 60.34 GFLOPs, our model also greatly lowers complexity by up to 15% and balances accuracy with efficiency. …”
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