Transplantation of intestinal microbiota: therapeutic potential at diseases of digestive organs by E. V. Shrayner, S. A. Kurilovich, M. F. Osipenko, V. V. Vlasov

“…Main results of FMT received by the present time at certain digestive diseases are discussed. …”
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Stability Analysis of SIRS Model considering Pulse Vaccination and Elimination Disturbance by Yanli Ma, Xuewu Zuo

“…In this paper, we consider pulse vaccination and pulse elimination strategies at the same time and establish an SIRS epidemic model with standard incidence. …”
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Target-Aware Deep Feature Compression for Power Intelligent Inspection Tracking by Wei Jiang, Zhimin Guo, Huanlong Zhang, Liyun Cheng, Yangyang Tian

“…However, due to the large number of existing deep features, it is difficult to deploy it on mobile devices to achieve real-time tracking speed. This paper presents a target-aware deep feature compression for power intelligent inspection tracking. …”
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Radio signal recognition based on image deep learning by Xin ZHOU, Xiaoxin HE, Changwen ZHENG

“…A technical idea was innovatively proposed that uses image deep learning to solve the problem of radio signal recognition.First,the radio signal was transformed into a two-dimensional picture,and the radio signal recognition problem was transformed into the object detection problem in the field of image recognition.Then,the advanced achievements about image recognition were used to improve the intelligence and ability of radio signal recognition in complex electromagnetic environment.Based on the proposed idea,a novel radio signal recognition algorithm named RadioImageDet was proposed.The experimental results show that the algorithm can effectively identify the waveform types and time/frequency coordinates of radio signals.After training and testing on the self-collected data set with 12 types and 4 740 samples,the accuracy reaches 86.04% and the mAP value reaches 77.72,while the detection time is only 33 ms on the medium configured desktop computer.…”
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Application of Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference Systems to Predict Activated Carbon Properties for Methane Storage by Ali Ahmadpour, Neda Jahanshahi, Sajjad Rashidi, Naser Chenarani, Mohammad Jaber Darabi Mahboub

“…The effects of parameters such as agent type, activation time, activation temperature, impregnation ratio and heating rate on the BET surface areas and micropore volumes of ACs are also analyzed. …”
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Business philosophy during digital transformation in wartime conditions. The case of Ukraine in critical perspective by Yaroslav Pushak, Nataliia Trushkina, Vitaliy Flyak, Iryna Bezpalko

“…The obtained results allow concluding that, no philosophy develops in an ethereal dimension, isolated from the dialectical forces and contradictions of its time, therefore, every business philosophy constitutes a space where the social representations of a given time and space converge. …”
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Self-Diagnosis and Self-Reconfiguration of Piezoelectric Actuator and Sensor Network for Large Structural Health Monitoring by Dong Liang, Liaoni Wu, Zhifeng Fan, Yang Xu

“…Based on the results shown in the experiment, a big potential in real-time application demonstrates that the method can accurately and rapidly identify the sensor failure by reasoning and analyzing Lamb wave propagations using proposed methods.…”
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纯电动物流车动力系统设计与优化 by 王永鼎, 李恒

“…In order to reasonably match the parameters of the electric logistics vehicle power system,according to the technical requirements of the electric logistics vehicle,the preliminary design and calculation of the relevant parameters of the electric logistics vehicle are carried out,and the whole vehicle simulation model is built by AVL-Cruise on the basis of the simulation conditions.Based on the complexity of parameter matching of pure electric logistics vehicle power system,various parameters need to be considered comprehensively,and a multi-objective genetic algorithm optimization method is proposed.The optimization method takes the vehicle’s power and economy as the optimization goal at the same time,and takes the maximum vehicle speed and acceleration time as constraints,establishes the transmission system optimization model and finds its optimal solution.Through the simulation analysis of the optimized parameters,the feasibility and rationality of the multi-objective genetic algorithm for the optimization of the power system of the electric logistics vehicle is presented,which provides a new way for the optimization of the power system parameters of the electric logistics vehicle.…”
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Estimation of Sand Production Rate Using Geomechanical and Hydromechanical Models by Son Tung Pham

“…The model is able to predict not only the onset of sand production using critical bottom hole pressure inferred from geomechanical modelling, but also the mass of sand produced versus time as well as the change of porosity versus space and time using hydromechanical modelling. …”
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Synthesis of Circular Array Antenna for Sidelobe Level and Aperture Size Control Using Flower Pollination Algorithm by V. S. S. S. Chakravarthy Vedula, S. R. Chowdary Paladuga, M. Rao Prithvi

“…Many conventional numerical techniques are proposed to achieve this which are time consuming and often fail to handle multimodal problems. …”
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ANALYSIS OF THE INTERNAL RESONANCE CHARACTERISTICS OF RECTANGULAR CURRENT-CONDUCTING THIN PLATE IN TRANSVERSE MAGNETIC FIELD by LI Jing, HU YuDa

“…According to a rectangular plate with one side fixed and three other sides simply supported,time variable and space variable are separated by the displacement modal expansion and the method of Galerkin,and the two-degree-of-freedom internal resonance nonlinear vibration differential equations are obtained. …”
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Regularized Multioutput Gaussian Convolution Process for Chemical Contents Data Imputation in Sintering Raw Materials by Wei Liu, Cailian Chen, Junpeng Li, Xinping Guan

“…To generalize the MGCP to a long-period case, dynamic time warping term is introduced to keep the global similarity between the original and estimated time series. …”
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Weighted Wilcoxon-Type Rank Test for Interval Censored Data by Ching-fu Shen, Jin-long Huang, Chin-san Lee

“…Interval censored (IC) failure time data are often observed in medical follow-up studies and clinical trials where subjects can only be followed periodically, and the failure time can only be known to lie in an interval. …”
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Simple-Random-Sampling-Based Multiclass Text Classification Algorithm by Wuying Liu, Lin Wang, Mianzhu Yi

“…Multiclass text classification (MTC) is a challenging issue and the corresponding MTC algorithms can be used in many applications. The space-time overhead of the algorithms must be concerned about the era of big data. …”
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Experimental Study on Fluid Properties of Cement-Fly Ash Slurry Subjected to Multifactors by Tian Huang, Feng Huang, Huifeng Zhou

“…The bleeding ratio, initial setting time, final setting time, and viscosity were analyzed under coupling conditions. …”
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Más allá del mar, un inmenso jardín. El trato a la figura de Rafael del Riego en la prensa de México, Colombia y Buenos Aires tras su muerte (1823-1830) by Alberto Cañas de Pablos

“…The case of American territories that were fighting for sparing from their mother country presents several special features, because they were at the same time next and far from what was happening in Spain, in different ways. …”
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Multi relay node selection strategy for energy capture collaborative relay network by Xian-zhong TIAN, Min GUO, Jia-cun HE, Gao LIU, Yi-nan ZHU

“…An energy capture cooperative relay network was studied.Unlike traditional cooperative relay networks,the relay nodes generally did not have a fixed energy supply but could carry out energy capture.For this network,a natural question was how to determine whether the relay nodes perform energy capture or data forwarding,and how to select the relay node to assist the information transmission between the source node and the destination node.Based on this problem,a multi-relay node selection scheme was proposed,which select the operation according to the energy of the current time slot of the relay node.In each time slot,the relay node that meet the battery threshold requirements was selected to assist in transmission.The Markov chain was used to model the charging and discharging process of the relay node battery,and the probability of interruption and throughput of the wireless network was obtained.And the value of the battery threshold when the throughput was maximized,that is,when the probability of network breakage was minimum was solved.Finally,the advantages of this scheme were verified by numerical experiments.…”
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Shapley additive explanation on machine learning predictions of fatigue lifetimes in piston aluminum alloys under different manufacturing and loading conditions by Mahmood Matin, Mohammad Azadi

“…Various input variables, including corrosion time, fretting force, stress, lubrication, heat-treating, and nano-particles, were evaluated by modeling of stress-controlled fatigue lifetimes in AlSi12CuNiMg aluminum alloy of the engine pistons with different machine learning (ML) techniques. …”
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Synchronization based on preamble symbol for DVB-T2 system by Jie TANG, Fang WANG, Ming-qi LI

“…DVB-T2（digita1 video broadcasting-second generation terrestria1）system adopted a preamb1e，with a specia1 C-A-B structure，to accomp1ish time-frequency synchronization.A11 existing preamb1e based synchronization a1gorithms on1y uti1ized the corre1ation between C and A or B and A，neg1ecting the conjugate symmetry character within A.By using this character，a new synchronization method was proposed to make detection probabi1ity higher and synchronization error sma11er.Monto Car1o simu1ations were carried out in AWGN（addictive white Gaussian noise）channe1 and TU6（typica1 urban）channe1 with ve1ocity of 30 km/h.Compared with existing synchronization methods，both higher detection probabi1ity and sma11er mean square error in time-frequency synchronization is achieved.…”
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The importance of scientific research activity in formation of teachers of higher education institutions by Radić Vlado

“…Scientific research at faculties (higher schools) can not and should not be understood as an obligation in order to fulfill certain conditions for promotion. Although the time periods of the selection of teaching titles are determined by law, young teachers are expected to show more enthusiasm, diligence, initiative, and extraordinary dedication to the job they will deal with. …”
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