ARK: Aggregation of Reads by K-Means for Estimation of Bacterial Community Composition. by David Koslicki, Saikat Chatterjee, Damon Shahrivar, Alan W Walker, Suzanna C Francis, Louise J Fraser, Mikko Vehkaperä, Yueheng Lan, Jukka Corander

“…These methods typically rely on summarizing the sequence data by frequencies of low-order k-mers and matching this information statistically with a taxonomically structured database. …”
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THE SEISMICITY MIGRATION STUDY BASED ON SPACE-TIME DIAGRAMS by E. A. Levina, V. V. Ruzhich

“…It is assumed that this phenomenon may result from regular changes of the polar compression of the Earth due to variations of its rotation regime. …”
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Optimization method for educational resource recommendation combining LSTM and feature weighting by Meixia Yang

“…The compressed interactive network is used to clarify the data, and the channel attention mechanism is used to weight the data. …”
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Individual Differences in Subjective Image Quality Assessment: A Bayesian Mixed-Effects Modeling Approach by Simon Hviid Del Pin, Seyed Ali Amirshahi

“…By embracing individual differences as valuable information, we can improve user experience, develop personalized content delivery systems, optimize compression techniques, and create more accurate predictive models for image quality. …”
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Data mining of particulate matter (PM2.5) using Principal Component Analysis (PCA) in Isfahan by Sohrab Hasheminejad, Samane Shahrabi, Reza Peykanpour Fard

“…The burgeoning volume of environmental data often leads to crucial decisions being made with inadequate information. Data mining techniques offer a powerful approach to extract knowledge, compress data, and facilitate informed environmental decision-making. …”
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Study of dynamic characteristics of impact of two solid deformable bodies at impact speed of up to 100 m/s by D. I. Chernyavsky, D. D. Chernyavsky

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Stolt Interpolation-Free Range Migration Algorithm for Dynamic-Aperture-Based Computational MIMO Microwave Imaging by Vasiliki Skouroliakou, Maria Garcia-Fernandez, Guillermo Alvarez-Narciandi, Simon Cotton, Okan Yurduseven

“…This is because in microwave CI the transfer function of the antennas is used to encode information from the imaged target scene and compress it into a single (or a few) channel(s). …”
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Design of compressor unit based on wave compressor with magnetoelectric drive for extraction of hydrocarbons in Arctic shelf by S. V. Goryunov, D. A. Morozov, O. V. Belova, E. V. Krestovskikh, D. A. Kalinkin, K. A. Kolesov

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Experimental study of working processes of low-speed long-stroke lubrication free piston compressor stages at high discharge pressure to suction pressures by V. L. Yusha, S. S. Busarov, A. V. Nedovenchany, R. Yu. Goshlya

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Experimental evaluation of system characteristics «compressor stage–linear magnetoelectric drive» by A. A. Tatevosyan, S. S. Busarov, A. V. Nedovenchany, I. S. Busarov, A. O. Zhukov

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Earth Fissures During Groundwater Depletion and Recovery: A Case Study at Shitangwan, Wuxi, Jiangsu, China by Guang-Ya Wang, Jin-Qi Zhu, Greg G. You, Dan Zhang, Jun Yu, Fu-Gang Gou, Jian-Qiang Wu

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Fedorova M. A. Elbel S., Hrnjak P. Performance optimization of two-stage compressor system using transcritical R744 / trans. from Engl. M. A. Fedorova by M. A. Fedorova

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Adaptive sequential estimator for InSAR time series phase estimation by Guanya Wang, Zhiwei Li, Han Gao, Jun Hu, Mi Jiang, Peng Ren, Jie Zhang

“…It selects the optimal subsets from the list with multiple merging degrees, to guide image compression and recursive phase estimation. Based on these, the ASE method adaptively prioritizes coherent information while minimizing the impact of decorrelation noise, thereby improving phase estimation accuracy. …”
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Integrated wellbore-surface pressure control production optimization for shale gas wells by Xingyu Zhou, Liming Zhang, Ji Qi, Yanxing Wang, Kai Zhang, Ruijia Zhang, Yaqi Sun

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A COSMIC-2-Based Global Mean TEC Model and Its Application to Calibrating IRI-2020 Global Ionospheric Maps by Yuxiao Lei, Weitang Wang, Yibin Yao, Liang Zhang

“…Critically, GMEC serves as an essential intermediate step that addresses the challenges of utilizing spatially irregular occultation data by compressing COSMIC-2’s ionospheric information into an integrated metric. …”
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Collective variables of neural networks: empirical time evolution and scaling laws by Samuel Tovey, Sven Krippendorf , Michael Spannowsky, Konstantin Nikolaou, Christian Holm

“…We identify two such dominant mechanisms present throughout machine learning training. The first, information compression, is seen through a reduction in the entropy of the NTK spectrum during training, and occurs predominantly in small neural networks. …”
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Annual patterns of body, tissue, and organ mass variation in long-tailed ducks Clangula hyemalis by Dave Shutler, Savannah Mahoney, Sarah E. Jamieson, H. Grant Gilchrist, Mark L. Mallory

“…This was unexpected, and could arise from the compressed breeding season. We were also interested in evaluating whether changes in masses of tissues or organs were more dramatic for a species that breeds at such high latitudes than for species that breed at lower latitudes, but were unable to glean this information from the literature. …”
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The features of kinematic calculation for Wankel’s rotary piston engine by Yu. P. Makushev, T. A. Polyakova, L. Yu. Volkova, V. V. Ryndin

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On the applicability of semi-empirical methods for calculating the operating processes of a single-stage long-stroke reciprocating compressor in the sphere of wet steam by V. L. Yusha

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an-QNA: An Adaptive Nesterov Quasi-Newton Acceleration-Optimized CMOS LNA for 65 nm Automotive Radar Applications by Unal Aras, Lee Sun Woo, Tahesin Samira Delwar, Abrar Siddique, Anindya Jana, Yangwon Lee, Jee-Youl Ryu

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