Modeling and Predicting Time Series with Non-stationarity and Volatility by FENG Qiang, ZHAO Jianguang, YANG Rong, NIU Baoning

“…When dealing with non-stationarity, existing deep learning models adopt a method of stabilizing the input sequences before training, which has problems of weak ability to eliminate non-stationarity or loss of information. …”
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Investigating the impact of synonymous gene recoding on a recombinantly expressed monoclonal antibody under different process parameters by Nayiri M. Kaissarian, Stephanie L. Sandefur, Arnab Ghosh, Upendra K. Katneni, Wendy Walton, Christopher C. Frye, Anton A. Komar, Chava Kimchi‐Sarfaty

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Accurate prediction of virulence factors using pre-train protein language model and ensemble learning by Guanghui Li, Jian Zhou, Jiawei Luo, Cheng Liang

“…Existing methods mainly relied on sequence similarity, and remote homology relationships cannot be discovered by sequence analysis alone. …”
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Enhancing Genomic Data Representation Through BERT-LSTM Hybrid Architecture by Kyeong Ho Kim, Minji Kim, Sohui Kim, Jong-Min Lee

“…Using data from 623 participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database, we analyzed genetic sequences across 10 genes to evaluate our approach. …”
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Isolation and Molecular Identification of Some Blue-Green Algae (Cyanobacteria) from Freshwater Sites in Tokat Province of Turkey by Tunay Karan, Ramazan Erenler, Zekeriya Altuner

“…Phylogenetic identification of species were conducted by evaluation of obtained sequence analysis data by using computer software. …”
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Evaluación del comportamiento de un algoritmo para la secuenciación en un taller de flujo con tiempos dependientes de la secuencia by Adriano da Silva-Carvalho, Alberto Fiol-Zulueta

“…Asimismo, se analizan casos obtenidos de la aplicación en un taller mecánico de una industria nacional.In this paper the evaluation of the behaviour of a proposed algorithm is made for the sequence of events in a stream flow in a workshop with dependent moments of the sequence using a hybrid method based on the SEARCH OF THE EXTREME OF A FUNTION OF A VARIABLE CODE ALGORITHM AND THE DISPERSED SEARCH METHOD ALGORITHM In the same way, cases obtained from the application in a workshop of the national mechanical industry are analysed.…”
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A deep learning model for predicting systemic lupus erythematosus-associated epitopes by Jiale He, Zixia Liu, Xiaopo Tang

“…Traditional bioinformatics methods often struggle to capture the intricate sequence patterns and high-dimensional signals characteristic of epitope data. …”
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Models and automation technologies for the curriculum development by V. N. Volkova, A. A. Efremov, A. V. Loginova, D. A. Kabinetskaja, M. A. Tambaum

“…The models and technologies for the implementation of these stages of curriculum development were given in the article: 1) models, based on the information approach of A.Denisov and the modified degree of compliance with objectives based on Denisov’s evaluation index (in the article the idea of evaluating the degree of the impact of disciplines for realization of competences was used); 2) models to define the sequence of subjects from curriculum: a) the models, based on evaluating the relationship between the disciplines, using simplicial complex theory, b) the models, implemented by means of information search, using the information retrieval language with the grammar, containing the system of predicates. …”
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Optimization of Flipped Classroom Teaching Model Based on Social Cognitive Network by Xinyue Wang

“…This article evaluates learners’ thinking in the complex environment of teaching level and cognitive construct process and examines learners within the framework of cognitive factors, as well as the degree of consistency in the training process, in the social practice as the teaching of teachers and students to provide timely and dynamic feedback, first of all to “evidence centered” education evaluation of design patterns and cognitive framework theory as the theoretical basis. …”
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Genotyping problems of microorganisms by R. A. Volkova, E. S. Skolotneva, E. V. Elbert, E. D. Mytsa, D. S. Davydov, A. A. Movsesyants, V. A. Merkulov, V. P. Bondarev, I. V. Borisevich

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Developing expert gaze pattern in laparoscopic surgery requires more than behavioral training by Sicong Liu, Rachel Donaldson, Ashwin Subramaniam, Hannah Palmer, Cosette D. Champion, Morgan L. Cox, L. Gregory Appelbaum

“…The task was adjusted to have a fixed action sequence to allow recordings of dwell durations based on pre-defined areas of interest (AOIs). …”
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Feasibility of fetal cardiac function and anatomy assessment by real-time spiral balanced steady-state free precession magnetic resonance imaging at 0.55T by Ye Tian, Jon Detterich, Jay D. Pruetz, Ecrin Yagiz, John C. Wood, Krishna S. Nayak

“…Results: Twenty-nine participants were enrolled for 32 CMR exams, with mean maternal age 33.6 ± 5.8 years (range 22–44 years) and mean gestational age 32.8 ± 3.9 weeks (range 23–38 weeks). The proposed sequence enabled evaluation of the fetal heart in <30 min in all cases (average 22 min). …”
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Comprehensive expression data for two honey bee species, Apis mellifera and Apis cerana japonica by Kakeru Yokoi, Masatsugu Hatakeyama, Seigo Kuwazaki, Taro Maeda, Mikio Yoshiyama, Mari Horigane-Ogihara, Shigeru Matsuyama, Akiya Jouraku, Hidemasa Bono, Kiyoshi Kimura

“…For A. cerana japonica, reference transcript sequence, predicted amino acid sequence, and functional annotation data were generated based on the genome sequence and RNA-Seq data. …”
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Enhanced security for medical images using a new 5D hyper chaotic map and deep learning based segmentation by S. Subathra, V. Thanikaiselvan

“…The significant region is segmented from the medical images using the U-Net network, and its statistics are utilised as initial conditions to generate the new random sequence. Initially, zig-zag scrambling confuses the pixel position of a medical image and applies further permutation with a new 5D hyperchaotic sequence. …”
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Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework. by Yansong Wang, Zilong Hou, Yuning Yang, Ka-Chun Wong, Xiangtao Li

“…Ultimately, an ensemble machine learning classifier is trained based on the refined multi-source features and dynamic implicit relations obtained from the deep learning-based sequence network. Benchmarking experiments demonstrated that SMFM significantly outperforms other existing methods using several evaluation metrics. …”
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A Multi-Level Robust and Perceptually Transparent Blind Audio Watermarking Scheme Using Wavelets by Farooq HUSAIN, Omar FAROOQ, Ekrqam KHAN

“…A randomly generated binary sequence is used as a watermark, and wavelet function coding is used to embed the watermark sequence in audio signals. …”
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An Exploratory Assessment of LLMs’ Potential for Flight Trajectory Reconstruction Analysis by Qilei Zhang, John H. Mott

“…Comparative analyses against traditional approaches, such as the Kalman filter and the sequence to sequence (Seq2Seq) model with a Gated Recurrent Unit (GRU) architecture, revealed that the fine-tuned LLaMA model significantly outperforms these conventional methods in accurately estimating various trajectory patterns. …”
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Hydrocarbon enrichment regularity of the first member of Paleogene Dainan Formation in Qintong Sag, Subei Basin by TAI Hao,YU Wenduan,ZANG Suhua,SHI Mengjun,JING Xiaobo,SUN Wei

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Fault Diagnosis of Hot Rolling Equipment Under Uncertain Conditions Based on Cloud Rough Model, Game Theory, and Improved GRA-TOPSIS by Bo Hu, Yongjun Zhang, Fengwei Jing

“…This study proposes a novel fault evaluation framework: first, a cloud rough model is adopted to handle multi-source uncertainties in expert evaluations; second, game theory is used to optimize the combined weights of subjective and objective criteria; finally, an improved Grey Relational Analysis-Technique for Order Preference by Similarity to Ideal Solution (GRA-TOPSIS) method constructs a dual-scale measurement model by fusing grey relational degree and Euclidean distance, effectively reducing the influence of geometric sequence similarity and distance on fault prioritization and enhancing the robustness of ranking results under complex working conditions. …”
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Protective antigenic sites identified in respiratory syncytial virus fusion protein reveals importance of p27 domain by Jeehyun Lee, Youri Lee, Laura Klenow, Elizabeth M Coyle, Juanjie Tang, Supriya Ravichandran, Hana Golding, Surender Khurana

“…Therefore, to identify RSV‐F protective epitopes, we evaluated 14 antigenic sites recognized following primary human RSV infection. …”
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