Deep Learning-Based Gain Estimation for Multi-User Software-Defined Radios in Aircraft Communications by Viraj K. Gajjar, Kurt L. Kosbar

“…It may be helpful to integrate multiple aircraft communication and navigation functions into a single software-defined radio (SDR) platform. …”
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Monitoring Quality of Care in the WHO Africa Region-A study design for measurement and tracking, towards UHC attainment by Regina Titi-Ofei, Doris Osei-Afriyie, Humphrey Karamagi

“…This paper seeks to offer more insight into options in the Region for strengthening monitoring processes of quality of care, as a step towards generating empirical evidence which can galvanize action towards an improved care process. …”
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Neural Network-Based Design of a Buck Zero-Voltage-Switching Quasi-Resonant DC–DC Converter by Nikolay Hinov, Bogdan Gilev

“…The converter is a piecewise linear system mathematically described by Kirchhoff’s laws and represented through switching functions. In this way, a mathematical model is used to generate data on the behavior of the state variables obtained under various design parameters. …”
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Epigenetic Regulation and Therapeutic Targeting of Alternative Splicing Dysregulation in Cancer by Yan Lei, Maode Lai

“…Alternative splicing enables a single precursor mRNA to generate multiple mRNA isoforms, leading to protein variants with different structures and functions. …”
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Microstructural transformation for robust and high-efficiency Zintl thermoelectrics by Meng Jiang, Qinghua Zhang, Siyuan Zhang, Ming Liu, Yuntian Fu, Zhiyuan Zhang, Xin Ai, Bohayra Mortazavi, Lianjun Wang, Qihao Zhang, Denys Makarov, Wan Jiang

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Synthesis and in silico studies of new thiophene-isoquinolinone hybrids as potential larvicides against Culex pipiens by Mahmoud Kamal, Mohamed H. Hekal, Fatma S. M. Abu El-Azm, Eslam M. Hosni, Yasmeen M. Ali, Abdullah Yahya Abdullah Alzahrani, El-Hady Rafat

“…Density Functional Theory (DFT) calculations further confirmed the favorable electronic properties and reactivity of the active compounds. …”
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Novel immunochromatographic test for rapid detection of anti-factor H autoantibodies with an assessment of its clinical relevance by Santiago Rodríguez de Córdoba, Andrea Reparaz, Daniel Sanchez, Sheila Pinto, Lucia Juana Lopez, Héctor Martin Merinero, Iria Calvete, Julian Perez-Perez, Sydney S. Jellison, Yuzhou Zhang, Richard J. H. Smith, Inmaculada Moreno, Mercedes Dominguez

“…In C3G, in contrast, FHAAs often target the N-terminus, generating an acquired functional FH deficiency. Detection and monitoring FHAAs are decisive for effectively treating patients. …”
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Proportion of parental genomes in hybrids Allium cepa × A. roylei determines which one becomes dominant by David Kopecký, Martin Duchoslav, Olga Scholten, Jana Kneřová, Marek Szecówka

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Epigenome profiling reveals distinctive regulatory features and cis-regulatory elements in pepper by Hongji Yang, Guorong Yu, Zhidong Lv, Tonghui Li, Xi Wang, Ying Fu, Zhangsheng Zhu, Guangjun Guo, Hang He, Ming Wang, Guochen Qin, Feng Liu, Zhenhui Zhong, Yan Xue

“…While the large and complex genome of pepper severely hampered the understanding of its functional genome, it also indicates a rich yet unexplored reservoir of regulatory elements (REs). …”
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Energetische upgrading van Nederlandse Wederopbouw flats by Frits Schultheiss

“…The new industrial overcladding repairs defects in the old building envelope. Functionally, this means better wheelchair accessibility, better separation between public and private and more spacious balconies for increased living comfort. …”
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Solar Spectrum Simulation Algorithms Considering AM0G and AM1.5G by Junjie Yang, Guoyu Zhang, Bin Zhao, Dongpeng Yang, Ke Zhang, Yu Zhang, Jian Zhang, Zhengwei Ren, Jingrui Sun, Lu Wang, Xiaoxu Mo, Taiyang Ren, Dianwu Ren, Zeng Peng, Songzhou Yang, Jiabo Lv

“…An LSTM-based neural network for solar spectrum simulation was developed, with the RMSE serving as the evaluation function. The analysis and selection of 29 narrowband LEDs produced 5000 solar spectrum simulation training datasets. …”
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Transcriptional regulatory network reveals key transcription factors for regulating agronomic traits in soybean by Wu Jiao, Mangmang Wang, Yijian Guan, Wei Guo, Chang Zhang, Yuanchun Wei, Zhenwei Zhao, Hongyu Ma, Longfei Wang, Xinyu Jiang, Wenxue Ye, Dong Cao, Qingxin Song

“…To accelerate utilization of SoyGRN, we develop an interactive webserver ( www.soytfbase.cn ) for soybean community to explore functional TFs involved in trait regulation. Conclusions Overall, our study unravels intricate landscape of TF-target interactions in soybean and provides a valuable resource for dissecting key regulators for control of agronomic traits to accelerate soybean improvement.…”
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Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform by Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

“…The warning thresholds were applied to 211 QC reports generated in 2023, of which 19.9% (n=42) triggered warnings. …”
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Leisure, work and simultaneous study in distance and virtual students (Ocio, trabajo y estudio simultáneo de estudiantes en modalidad a distancia y virtual) by Leonardo Andrés Aguirre-Cardona, Isabel Rubio-Florido, Edwin Alberto Puerto-Rodríguez

“…  The studies, analysis, reflections and positions regarding the leisure-work relationship is not new and is current, although sometimes it is not tangible and visible at first glance, even more so when the young population in Colombia takes advantage of distance and virtual education to be able to work and generate income and thus pay for a study; Thus, it was sought to analyze the incidence of working and studying simultaneously in the leisure time and spaces of students in distance and virtual mode of the Minuto de Dios-Uniminuto University Corporation in Bogotá-Colombia. …”
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Behavioral Analysis of EEG Signals in Loss-Gain Decision-Making Experiments by Jiaquan Shen, Ningzhong Liu, Deguang Li, Binbin Zhang

“…The experimental results show that the EEG generated after behavioral decision due to loss is more intense than that generated by gain in the medial frontal cortex (MFC). …”
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The Coaching for Cognition in Alzheimer's (COCOA) trial: Study design by Jared C. Roach, Junko Hara, Deborah Fridman, Jennifer C. Lovejoy, Kathleen Jade, Laura Heim, Rachel Romansik, Adrienne Swietlikowski, Sheree Phillips, Molly K. Rapozo, Maria A. Shay, Dan Fischer, Cory Funk, Lauren Dill, Michael Brant‐Zawadzki, Leroy Hood, William R. Shankle

“…Secondary outcome measures include the Functional Assessment Staging Test (FAST), a measure of function. …”
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Analyses of the redistribution of work following cardiac resynchronisation therapy in a patient specific model. by Steven Alexander Niederer, Pablo Lamata, Gernot Plank, Phani Chinchapatnam, Matt Ginks, Kawal Rhode, Christopher Aldo Rinaldi, Reza Razavi, Nicolas Peter Smith

“…Regulation of regional work is essential for efficient cardiac function. In patients with heart failure and electrical dysfunction such as left branch bundle block regional work is often depressed in the septum. …”
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The Arctan-X Family of Distributions: Properties, Simulation, and Applications to Actuarial Sciences by Ibrahim Alkhairy, M. Nagy, Abdisalam Hassan Muse, Eslam Hussam

“…The purpose of this paper is to investigate a new family of distributions based on an inverse trigonometric function known as the arctangent function. In the context of actuarial science, heavy-tailed probability distributions are immensely beneficial and play an important role in modelling data sets. …”
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YOLO Network-Based Extraction of Target Geometry From Time-Frequency Representation by Jingyuan Han, Kunyi Guo, Xinqing Sheng

“…Experimental results, including metric functions and data on reconstructed geometric structures, demonstrate good consistency between the extracted and actual geometric parameters, and the trained network model has a good generalization ability for more complicated structural targets. …”
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Educational Technologies in Modern Higher Education Institutions (Analysis of Russian and Foreign Research and Practice) by N. V. Bordovskaia, E. A. Koshkina, N. A. Bochkina

“…Statistically significant differences were identified for all considered functional characteristics of educational technology in Russian and foreign publications, with the exception of “Student Attitude to Educational Technology”. …”
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