The Transcriptomic Signature of Donkey Ovarian Tissue Revealed by Cross-Species Comparative Analysis at Single-Cell Resolution by Yu Tian, Yilin Niu, Xinhao Zhang, Tao Wang, Zhe Tian, Xiaoyuan Zhang, Jiachen Guo, Wei Ge, Shuqin Liu, Yujiang Sun, Jianjun Li, Wei Shen, Junjie Wang, Teng Zhang

“…However, their reproductive efficiency remains suboptimal compared with other livestock. …”
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Perspectives on the Use of Transthoracic Echocardiography Results for the Prediction of Ventricular Tachyarrhythmias in Patients with Non-ischemic Cardiomyopathy by N. N. Ilov, D. R. Stompel, S. A. Boytsov, O. V. Palnikova, A. A. Nechepurenko

“…The primary endpoint was the first-ever stable paroxysm of VT (lasting for ≥30 seconds), detected in the «monitor» zone of VT, or paroxysm of VT, which required ICD therapy.  …”
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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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The impact of the structural state of the tubulin cytoskeleton on chlorophyll fluorescence indicators and auxin content in Solanum tuberosum by I.Yu. Makeeva, T.I. Puzina

“…In this case, a 20 % decrease in the reduction of plastoquinone in the reaction center of PS II (Fm) and a 40 % decrease in the potential quantum efficiency (Fv/Fm) were detected. A decrease in IAA content (almost 3 times) was shown during pharmacological destruction of microtubules by oryzalin. …”

State of Health Estimation for Lithium-Ion Batteries Based on TCN-RVM by Yu Zhao, Yonghong Xu, Yidi Wei, Liang Tong, Yiyang Li, Minghui Gong, Hongguang Zhang, Baoying Peng, Yinlian Yan

“…The dilated causal convolution of TCN is used to extract temporal local features of health factors, addressing the insufficient capture of long-range dependencies in traditional models; meanwhile, the Bayesian inference framework of RVM is integrated to enhance the nonlinear mapping capability and small-sample generalization, avoiding the overfitting tendency of complex models. Experimental validation is conducted using the lithium-ion battery dataset from the University of Maryland. …”
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Physical–Mathematical Modeling and Simulations for a Feasible Oscillating Water Column Plant by Fabio Caldarola, Manuela Carini, Alessandro Costarella, Gioia De Raffele, Mario Maiolo

“…Certain inclinations revealed increased turbulence and notable interference with waves reflected from the chamber bottom which determined an unexpected drop in efficiency. …”
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The Pathogenicity of Anti-β2GP1-IgG Autoantibodies Depends on Fc Glycosylation by Christoph Fickentscher, Iryna Magorivska, Christina Janko, Mona Biermann, Rostyslav Bilyy, Cecilia Nalli, Angela Tincani, Veronica Medeghini, Antonella Meini, Falk Nimmerjahn, Georg Schett, Luis E. Muñoz, Laura Andreoli, Martin Herrmann

“…This indicates a more efficient clearance of anti-β2GP1 immune complexes in the healthy children. …”
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Development of a portable laser-flash photolysis Faraday rotation spectrometer for measuring atmospheric total OH reactivity by B. Fang, N. Wei, W. Zhao, N. Yang, H. Zhou, H. Zhang, H. Zhang, J. Li, W. Zhang, Y. Lu, Y. Lu, Z. Zhu, Z. Zhu, Y. Liu, Y. Liu

“…To achieve efficient overlapping between the pump and probe laser and realize a long effective absorption path length, thus enabling high-sensitivity measurement, a specific Herriott-type pump–probe optical multi-pass cell was designed. …”
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Optimizing SVC placement for enhanced voltage stability using a novel index and hybrid ABC-PSO algorithm by Hafizur Rahman, Roman Mia, Mustafizur Rahman, Md. Faiyaj Ahmed Limon, Md. Shahid Iqbal, Md. Fahad Jubayer, Md. Rabiul Karim, Md. Janibul Alam Soeb

“…These findings demonstrate the robustness and practicality of the methodology and provide system operators with a robust means to ensure grid stability, operational efficiency, and enhanced resilience in the face of increasing load and system complexity.…”
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Numerical Simulation and Optimization of Water Hammer Protection Schemes for Long-Distance Gravity-Pressurized Water Conveyance Systems by HUANG Wei, LIAO Chen-xi, HUANG Xin, GU Ping, LIU Bin, HUANG Zi-yang

“…The hydraulic characteristics of such systems are more complex than those of pure gravity-driven systems. …”
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Machine Learning Methods of Providing Informational Management Support for Students’ Professional Development by I. G. Zakharova

“…It was shown how this differentiation, based on the complex of previously selected dynamic indicators characterising the changes of professional vocabulary, expands the possibilities for diagnostics and forecasting of professional growth of students. …”
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Named Entity Recognition in Aviation Products Domain Based on BERT by Mingye Yang, Bernadin Namoano, Maryam Farsi, John Ahmet Erkoyuncu

“…This paper proposes a new Named Entity Recognition (NER) method specifically tailored for the aviation product field (BBC-Ap), introducing an innovative approach that leverages domain-specific ontologies and advanced deep learning algorithms to significantly enhance the accuracy and efficiency of entity extraction from complex technical documents. …”
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Network control theory uncovers aberrant connectome controllability in trigeminal neuralgia by Tiantian Chu, Juan Peng, Feng Gao, Fei Xiong, Ye Tu

“…Abstract Background Trigeminal neuralgia (TN) involves complex neural network alterations beyond the trigeminal system. …”
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OPTIMIZATION OF TRANSPORTATION ROUTES IN A CLOSED LOGISTICS SYSTEM by Vladimir Beskorovainyi, Olexij Kuropatenko, Denys Gobov

“…The following results were obtained: the decomposition of the problem of optimizing transportation routes in closed-loop logistics systems at the macro and micro levels was performed; a systemological model of the problem has been developed, which reflects the whole complex of tasks that are solved at various stages of the life cycle of logistics systems. …”
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Evaluation of the LI-710 evapotranspiration sensor in comparison to full eddy covariance for monitoring energy fluxes in perennial and annual crops by Srinivasa Rao Peddinti, Isaya Kisekka

“…Uncorrected LI-710 fluxes exhibited a consistent underestimation, as reflected in low or negative Nash–Sutcliffe efficiency (NSE) values. …”
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Prevention and correction of postdecompression liver dysfunction in obstructive jaundice in experimental animals by M. M. Magomedov, M. A. Khamidov, H. M. Magomedov, K. I. Hajiyev

“…Obstructive jaundice is a complex pathology that significantly complicates surgical interventions and is accompanied by a number of negative consequences. …”
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Study on natural gas metering technology and pricing methods in China by Yunyun XIE, Yao SU, Pengtao LI, Fan ZHANG, Wenyao LIU, Jianwen GUO

“…ConclusionPromoting reforms in natural gas metering and pricing methods not only enhances resource utilization efficiency but also ensures market fairness and transparency. …”
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Integrated Assessment of the Quality of Functioning of Local Electric Energy Systems by Waldemar Wójcik, Petro Lezhniuk, Cezary Kaczmarek, Viacheslav Komar, Iryna Hunko, Nataliia Sobchuk, Laura Yesmakhanova, Zhazira Shermantayeva

“…The offered integral indicator of the quality of functioning of a LEES with RSE corresponds to the general requirements for such indicators. It reflects the actual operating conditions; allows for assessing the efficiency, quality, and optimality of power supply systems; and can be easily decomposed into partial indicators.…”
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A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models by Adel Zga, Farouq Zitouni, Saad Harous, Karam Sallam, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

“…This optimization problem involves accurately identifying parameters that reflect the complex and nonlinear behaviours of photovoltaic cells affected by changing environmental conditions and material inconsistencies. …”
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In-Memory Versus Disk-Based Computing with Random Forest for Stock Analysis: A Comparative Study by Chitra Joshi, Chitrakant Banchorr, Omkaresh Kulkarni, Kirti Wanjale

“…As opposed to this, the MapReduce approach had higher latency and lower accuracy, reflecting its disk-based constraints and reduced efficiency for iterative machine learning tasks.Conclusion: The conclusion supports the fact that Spark is the better option for complex machine learning tasks such as stock price prediction, as it is good for handling large amounts of data. …”
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