NMR Spectroscopy Study of the Effect of the Molecular Mass of Hypromellose Phthalate on Its Solubility by S. V. Moiseev, N. E. Kuz’mina, E. Yu. Severinova, N. D. Bunyatyan, V. A. Evteev

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Study on characteristics and prediction model of low-temperature adiabatic compressed air energy storage system by Fengyu Li, Yueping Yu

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Designing Continuous Crystallization Protocols for Curcumin Using PAT Obtained Batch Kinetics by Mayank Vashishtha, Mahmoud Ranjbar, Gavin Walker, K. Vasanth Kumar

“…The theoretical approach uses batch kinetic constants to theoretically identify the optimum dilution rate and the corresponding mass of the model compound curcumin when crystallised, as well as its productivity at steady-state conditions as a function of initial supersaturation. …”
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Operational Characterization of Pressure Regulating Valves by M. V. Talamini Junior, A. C. S. de Araujo, A. P. de Camargo, E. Saretta, J. A. Frizzone

“…In practice, the regulated pressure at the PRV outlet is slightly influenced by its inlet pressure, the flow rate through it, and hysteresis effects. The objectives of this work were (a) to evaluate operational characteristics of PRVs based on requirements stated by ISO 10522 (1993) and (b) to model the regulated pressure as a function of inlet pressure and flow rate through the valve considering hysteresis. …”
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Single-molecule direct RNA sequencing reveals the shaping of epitranscriptome across multiple species by Ying-Yuan Xie, Zhen-Dong Zhong, Hong-Xuan Chen, Ze-Hui Ren, Yuan-Tao Qiu, Ye-Lin Lan, Fu Wu, Jin-Wen Kong, Ru-Jia Luo, Delong Zhang, Biao-Di Liu, Yang Shu, Feng Yin, Jian Wu, Zigang Li, Zhang Zhang, Guan-Zheng Luo

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HyperSight: A Precise Decoding Algorithm for VLC With Mobile-Phone Camera by Yuanmei Meng, Xiongbin Chen, Tianhao Pan, Tong Shen, Hongda Chen

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Bridging the Gap between Economic Modelling and Simulation: A Simple Dynamic Aggregate Demand-Aggregate Supply Model with Matlab by José M. Gaspar

“…The same function also accommodates the analysis of the impacts of fiscal and monetary policy and supply side shocks on the steady state and the transition dynamics of the model.…”
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Clinical characteristics of the respiratory and cardiovascular systems in patients with combination of chronic obstructive pulmonary disease and heart failure by I. I. Vyshnyvetskyy, L. S. Kholopov, V. O. Batashova-Halynska

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A PHi/PHi,n/C/C Queuing Model in Randomly Changing Environments for Traffic Circulation Systems by Juanxiu Zhu, Lu Hu, Han Xie, Kehong Li

“…Its time complexity is a linear function of the product of the queue capacity and the number of RE states. …”
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Predicting synthetic mRNA stability using massively parallel kinetic measurements, biophysical modeling, and machine learning by Daniel P. Cetnar, Ayaan Hossain, Grace E. Vezeau, Howard M. Salis

“…We combined biophysical models and machine learning to develop steady-state and kinetic decay models of mRNA stability with high accuracy and generalizability, utilizing transcription rate models to identify mRNA isoforms and translation rate models to calculate ribosome protection. …”
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Determination of Flow Characteristics in Technological Processes with Controlled Pressure by T. Reader, V. A. Tenenev, A. A. Chernova

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Reliability Assessment of Large Scale Security and Stability Control System Based on Control Efficacy Reduction Mode by Bijun LI, Xijian DONG, Yunsong YAN, Haifeng XIA, Tianyi LIU

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Non-invasive of liver fibrosis diagnostics: the role of serum markers by A. F. Sheptulina, Ye. N. Shirokova, V. T. Ivashkin

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Value-difference learning based mMTC devices access algorithm in multi-cell network by Xin LI, Jun SUN

“…In the massive machine type communication scenario of 5G, the access congestion problem of massive machine type communication devices (mMTCD) in multi-cell network is very important.A double deep Q network with value-difference based exploration (VDBE-DDQN) algorithm was proposed.The algorithm focused on the solution that could reduce the collision when a number of mMTCDs accessed to eNB in multi-cell network.The state transition process of the deep reinforcement learning algorithm was modeled as Markov decision process.Furthermore, the algorithm used a double deep Q network to fit the target state-action value function, and it employed an exploration strategy based on value-difference to adapt the change of the environment, which could take advantage of both current conditions and expected future needs.Moreover, each mMTCD updated the probability of exploration according to the difference between the current value function and the next value function estimated by the network, rather than using the same standard to select the best base eNB for the mMTCD.Simulation results show that the proposed algorithm can effectively improve the access success rate of the system.…”
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A Dose‐Tailored Anti‐Plasma Cell Regimen Lowers the Mortality of Late‐Stage Cardiac Amyloidosis by Yun Ti, Huaitao Yu, Ying Wang, Mei Ni, Tongtao Liu, Luqun Wang, Cheng Zhang, Peili Bu, Yun Zhang

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A bidirectional pedestrian macroscopic speed model construction based on pedestrian microscopic simulation experiments. by Xiaocheng Gao, Hui Zhang, Hui Qi, Bin He

“…The calibration results show that the piecewise function should be better than the non-piecewise function. …”
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Dynamic Mechanical Properties and Energy Dissipation Analysis of Sandstone after High Temperature Cycling by Qi Ping, Chuanliang Zhang, Hongjian Sun, Xu Han

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Impact of Novel Coronavirus Infection on the Course and Prognosis of Cirrhosis by A. G. Ismailova, R. V. Maslennikov, M. S. Zharkova, V. T. Ivashkin

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The effectiveness of cytocardioprotection of patients with the moderately expressed post infarct dysfunction of left heart ventricle: the results of the randomization research of t... by V. V. Kalyuzhin, M. A. Solovtsov, D. U. Kamaev

“…Clinical status and function state of left ventricle (by echocardiography) was assessed before and after 4-week therapy with trimetazidine or atenolol. …”
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Malignant otitis externa: What is the role of surgery? by Lisa Zhang, Joseph Bonanno, Woo Yul Byun, Yin Ren

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