The miR-6240 target gene Igf2bp3 promotes myoblast fusion by enhancing myomaker mRNA stability by Yuxin Huang, Wei Wang, Xinhao Fan, Xiaoqin Liu, Weiwei Liu, Zishuai Wang, Yixing Li, Yalan Yang, Zhonglin Tang

“…The Igf2bp3 overexpression vector was designed using the pcDNA3.1(+) vector. …”
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Characteristic of Viral and Bacterial Contaminationin Objects of the Infection Hospital Environment of the Hospital for the Treatment of Patients with COVID-19 During the Pandemic... by I. A. Egorov, S. S. Smirnova, V. A. Mishchenko, I. V. Vialykh, A. Yu. Markarian, N. N. Zhuikov, S. V. Romanov, A. V. Ponomareva, I. V. Chistiakova, A. S. Kiliachina, O. Yu. Averianov, V. A. Smirnova, А. N. Bolshakova, E. V. Vernik, N. A. Pushkareva, A. V. Semenov

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End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence by Wojciech Ciezobka, Joan Falco-Roget, Cemal Koba, Alessandro Crimi

“…This transparent analytical framework not only enhances clinical interpretability but also instills confidence in decision-making processes, crucial for translating research findings into clinical practice. …”
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Reconstruction of LDPC code check matrix based on random extraction at high bit error rate by Zhongyong WANG, Zhenghao LI, Kexian GONG, Peng SUN, Qingtao LI

“…In order to improve the performance of the sparse check matrix reconstruction algorithm of LDPC codes at high BER, an open set recognition algorithm of the check matrix with strong fault tolerance under the condition of sufficient and insufficient number of received code words was proposed.Firstly, a new code word space was constructed by randomly extracting part bits of the code words for many times.Gaussian elimination method was used to solve the dual vector and restore the check vector in a lower dimension.Secondly, using the check vector, the proportion of error-free code groups in the received data was continuously increased by using the methods of “eliminating error code words” or“flipping the lowest unreliable bits” for iterative processing.Simulation results show that the proposed algorithm is superior to comparison algorithm under different bit error rates, different code lengths, different code rates and different number of code words.For (648,324) LDPC codes in IEEE 802.11n protocol, when the number of received code words is sufficient, the reconstruction rate of check matrix can reach more than 95% under the condition of bit error rate of 0.003.When the number of received code words is insufficient (the number of code words is 450), the reconstruction rate of check matrix can reach more than 90% under the condition of bit error rate of 0.0015.…”
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Segmentation of the Sensor Data Stream in Pervasive Smart Environments by Vahid Ghasemi, Mohammad Javadian, Sajad Hayati

“…In such environments, user-object interactions along time are recorded via several sensors, and sensor events are processed as a stream of data. In this process, user’s activities are recognized, and accordingly, essential services are provided. …”
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Accounting Management and Optimizing Production Based on Distributed Semantic Recognition by Ruina Guo, Shu Wang, Guangsen Wei

“…The proposed algorithm encompasses multiple modules, including a front-end feature extraction module, a channel transmission module, and a voice quality vector quantization module. Additionally, a semantic recognition module is introduced to process the voice signals and generate prediction results. …”
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Optimizing Curriculum Vitae Concordance: A Comparative Examination of Classical Machine Learning Algorithms and Large Language Model Architectures by Mohammed Maree, Wala’a Shehada

“…Conversely, LLMs such as GPT-4, GPT-3, and LLAMA adeptly process unstructured textual content, capturing nuanced language and context with greater precision. …”
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Design and Application of Offset-Free Model Predictive Control Disturbance Observation Method by Xue Wang, Baocang Ding, Xin Yang, Zhaohong Ye

“…However, unmeasurable disturbance is widespread in industrial processes, which is difficult to deal with directly at present. …”
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Comparative Analysis of Machine Learning Models for Predicting Interfacial Bond Strength of Fiber-Reinforced Polymer-Concrete by Miljan Kovačević, Marijana Hadzima-Nyarko, Predrag Petronijević, Tatijana Vasiljević, Miroslav Radomirović

“…This study presents a detailed analysis of various machine learning models for predicting the interfacial bond strength of fiber-reinforced polymer (FRP) concrete, including multiple linear regression, Multigene Genetic Programming (MGGP), an ensemble of regression trees, Gaussian Process Regression (GPR), Support Vector Regression (SVR), and neural networks. …”
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Response Relationship Between Runoff and Meteorological Drought and Flood Characteristics in Jialing River Basin by LI Wen-hui, ZHANG Yang, CAO Hui, XING Long, REN Yu-feng, ZHAI Shao-jun, MA Yi-ming, LI Wen-da

“…This study aims to clarify the quantitative response relationship between meteorological drought and flood characteristics at the daily scale and runoff in the Jialing River Basin, and to effectively evaluate the impact of extreme meteorological drought and flood events on the flow process. [Methods] Based on long-term daily precipitation and flow data from 1989 to 2022, this study employed the SWAP index method and run theory to identify meteorological drought and flood events at the daily scale in the Jialing River Basin. …”
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Syndrome of system inflammation in the pathogenesis of respiratory syncitial viral infection by I. V. Babachenko, L. A. Alekseeva, A. N. Uskov, T. V. Bessonova, N. S. Tian, N. E. Monakhova, E. V. Makarenkova, S. G. Grigoryev

“…The study revealed a prolonged increase in serum alpha-2 fraction of globulins, immunoregulatory cytokines with pro-inflammatory (IL-6) and anti-inflammatory (IL-10) action and, which may indicate the presence of subacute inflammatory process associated with the persistence of RS-virus. …”
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Implementasi Algoritma Mickey 2.0 untuk Mengamankan Komunikasi Data pada Perangkat Bluetooth Low Energy by Amelia Dwi Rochani, Ari Kusyanti, Fariz Andri Bakhtiar

“…Before sending data, encryption is performed on the server side using the Mickey 2.0 algorithm and the decryption process will be carried out on the Client side. The keystream results will be validated first in the test vector test. …”
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Micro-spring force sensors using conductive photosensitive resin fabricated via two-photon polymerization by Ningning Hu, Yucheng Deng, Lujia Ding, Lijun Men, Wenjun Zhang, Ruixue Yin

“…This model significantly reduced trial-and-error in the TPP process, accelerating the discovery of ideal fabrication conditions. …”
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Specific reaction conditions for efficient automated 68Ga-radiolabeling of the FAP-2286 pseudopeptide on a GAIA® synthesizer by Maissa Ammour, Jade Torchio, Stéphane C. Renaud, Léa Rubira, Cyril Fersing, Cyril Fersing

“…A strong cation exchange (SCX) cartridge for 68Ga pre-concentration and a solid-phase extraction (SPE) step for final purification were included in the process. RCY, RCP, and stability over 4 h were assessed using radio-HPLC and radio-TLC. …”
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Degradation of Organophosphorus Pesticides in Water during UV/H2O2 Treatment: Role of Sulphate and Bicarbonate Ions by Am Fadaei, Mh Dehghani, Ah Mahvi, S. Nasseri, N. Rastkari, M. Shayeghi

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Few-shot Named Entity Ｒecognition for Medical Text by QIN Jian, HOU Jian-xin, XIE Yi-ning, HE Yong-jun

“…Finally，an improved data enhancement method is used to process the training data，which can increase the recognition effect of the model on named entities while avoiding overfitting of the model. …”
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Finding Possible Precursors for the 2015 Cotopaxi Volcano Eruption Using Unsupervised Machine Learning Techniques by Juan C. Anzieta, Hugo D. Ortiz, Gabriela L. Arias, Mario C. Ruiz

“…To find these families we applied a two-stage process in which the events were first separated by their frequency content by applying the k-means algorithm to the spectral density vector of the signals and then were further separated by their waveform by applying Correntropy and Dynamic Time Warping. …”
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Evaluation of Ground Displacements Caused by Installing Jet Grouted Columns Using Machine Learning Methods by Zhi-Feng Wang, Xing-Bin Peng, Yong Liu, Wen-Chieh Cheng, Ya-Qiong Wang, Chao-Jun Wu

“…During the jet grouting process, large volumes of high pressurized fluids injected into the soils will cause significant ground displacements, which may bring harmful impacts on surrounding environment. …”
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Exponential GPR based power prediction for solid oxide fuel cell under H₂ and O₂ flow maloperation by Saketh Danturti, Pratyasha Mishra, Nimisha Mishra, Saranya S T, Buddhadeva Sahoo, Pritam Bhowmik

“…This paper presents an innovative approach to predict the active and reactive power produced by the SOFC through some well adopted machine learning techniques like Support Vector Machines (SVM), Trilayered Neural Networks (TNN), and Exponential Gaussian Process Regression (eGPR). …”
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Study on Zero-Doppler Centroid Control for GEO SAR Ground Observation by Yicheng Jiang, Bin Hu, Yun Zhang, Meng Lian, Zhuoqun Wang

“…In geosynchronous Earth orbit SAR (GEO SAR), Doppler centroid compensation is a key step for imaging process, which could be performed by the attitude steering of a satellite platform. …”
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