Fuzzy Clustering Based on Activity Sequence and Cycle Time in Process Mining by Onur Dogan, Hunaıda Avvad

“…This work introduces a new fuzzy clustering methodology that incorporates both activity sequences and cycle times through a weighted distance metric. …”
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An efficient parallel runoff forecasting model for capturing global and local feature information by Yang-hao Hong, Dong-mei Xu, Wen-chuan Wang, Hong-fei Zang, Xiao-xue Hu, Yan-wei Zhao

“…However, research on how to efficiently identify the physical characteristics of runoff sequences and develop forecasting models that simultaneously address both global and local features of the sequences is still lacking. …”
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Image encryption using dna-sequences, chaotic dynamics and hash fuctions by A. V. Sidorenko, M. S. Shishko

“…An image encryption algorithm based on DNA-sequences, chaotic dynamics and hash functions is described. …”
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The q-Dixon sequence for MRI predicts osteoporotic vertebral compression fractures by Jing Zhang, Qiyuan Li, Yao Wang, Li Sun, Qingyuan Zhang, Chuanping Gao

“…ObjectivesTo evaluate whether q-Dixon sequence-based fat fraction (FF) values of the lumbar spine can predict osteoporotic vertebral compression fracture (OVCF) risk in older adult(s) osteoporosis patients.Materials & methodsThirty OVCF patients and 15 osteoporosis patients were enrolled. …”
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Variation of and associations with the depth and evenness of sequencing coverage in archived plastid genomes by Nils Jenke, Gregory M. Smith, Buddha Thapa Magar, Michael Gruenstaeudl

“…We also evaluate whether sequencing evenness in plastid genomes is biased by phylogenetic signal and assembly software choice, and whether more uniformly distributed input sequence data improves plastome assembly quality. …”
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Integrating DNA and RNA sequencing for enhanced pathogen detection in respiratory infections by Dejian Gu, Jie Liu, Jiaping Wang, Yuting Yi, Yuxing Chu, Rui Gao, Hao Liu, Jun She, Binghuai Lu

“…The performance and clinical manifestations of tNGS for 306 pathogens were evaluated using clinical and simulated samples. Results The tNGS method took 16 h with sequencing data sizes of 5 M reads. …”
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A brain-inspired sequence learning model based on a logic by Bowen Xu

“…Abstract Sequence learning is a crucial aspect of intelligence research, with sequence prediction tasks commonly used to evaluate the performance of sequence learning models. …”
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Mycobacterium avium DNA extraction: Implications for NTM identification and amplicon sequencing by Christoffel J. Opperman, Salim Ben Amor, Greshan Kisten, Brendon C. Mann, Janré Steyn, Sarishna Singh, Yonas Ghebrekristos, Robin Warren, Wynand Goosen

“…This study evaluated six DNA (Deoxyribonucleic acid) extraction methods for Mycobacterium avium, focusing on cost, procedure time, yield, quality, DNA integrity, and suitability for amplicon-based sequencing. …”
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The quality and detection limits of mitochondrial heteroplasmy by long read nanopore sequencing by Barbara Slapnik, Robert Šket, Klementina Črepinšek, Tine Tesovnik, Barbara Jenko Bizjan, Jernej Kovač

“…Abstract This study evaluates long-read and short-read sequencing for mitochondrial DNA (mtDNA) heteroplasmy detection. 592,315 bootstrapped datasets generated from two single-nucleotide mismatched ultra-deep sequenced mtDNA samples were used to assess basecalling error and accuracy, limit of heteroplasmy detection, and heteroplasmy detection across various coverage depths. …”
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Accurate and robust prediction of genetic relationship from whole-genome sequences. by Hong Li, Gustavo Glusman, Chad Huff, Juan Caballero, Jared C Roach

“…GRAB segments the genome into blocks, calculates the fraction of blocks sharing identity, and then uses a classification tree to infer 1st- to 5th- degree relationships and unrelated individuals. We evaluated GRAB on simulated and real sequenced families, and compared it with other software. …”
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A Perception-Driven Transcale Display Scheme for Space Image Sequences by Lingling Zi, Xin Cong, Yanfei Peng, Pei Yang

“…Extensive quantitative and qualitative experimental evaluations demonstrate the effectiveness of the proposed scheme.…”
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Position-Awareness and Hypergraph Contrastive Learning for Multi-Behavior Sequence Recommendation by Sitong Yan, Chao Zhao, Ningning Shen, Shaopeng Jiang

“…PHCL-MBSR has been experimentally evaluated on three benchmark datasets, and the results demonstrate the effectiveness and interpretability of this framework.…”
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Power sequence definition under woodworking milling on contour-milling machines by Alexander N. Chukarin, Sergey V. Golosnoy

“…This study is devoted to determining parameters of the power sequence arising under the circular moulding. Materials and Methods. …”
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Application of Principal Component Analysis for Gene Sequences (cDNA microarrays) by Yalçın Tahtalı, Zeynel Cebeci

“…In this study, principal component analysis has been applied on data comprising of 6675 gene and 20 sequence collected by using cDNA microarray technology from livers of mice used in toxicology studies in certain time periods. …”
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Development of next generation sequencing panel for UMOD and association with kidney disease. by Caitlin Bailie, Jill Kilner, Alexander P Maxwell, Amy Jayne McKnight

“…An AmpliSeq next generation sequencing panel was developed to facilitate comprehensive sequencing of the UMOD gene, covering exonic and regulatory regions. …”
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Application of Protein Structure Encodings and Sequence Embeddings for Transporter Substrate Prediction by Andreas Denger, Volkhard Helms

“…In this study, we leverage recent advances in deep learning, such as amino acid sequence embeddings with protein language models (pLMs), highly accurate 3D structure predictions with AlphaFold 2, and structure-encoding 3Di sequences from FoldSeek, for predicting substrates of membrane transporters. …”
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LatentDE: latent-based directed evolution for protein sequence design by Thanh V T Tran, Nhat Khang Ngo, Viet Thanh Duy Nguyen, Truong-Son Hy

“…Experimental evaluations conducted on eight protein sequence design tasks demonstrate the superior performance of our proposed LDE over previous baseline algorithms. …”
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Determination of Wheat Growth Stages Using Image Sequences and Deep Learning by Chunying Wang, Xubin Song, Weiting Pan, Haixia Yu, Xiang Li, Ping Liu

“…In addition, the accurate determination of the growth stages and further analysis of its relationship with meteorological conditions will help biologists, geneticists, and breeders to breed, screen, and evaluate wheat varieties with ecological adaptability.…”
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Optimized detection of insertions/deletions (INDELs) in whole-exome sequencing data. by Bo-Young Kim, Jung Hoon Park, Hye-Yeong Jo, Soo Kyung Koo, Mi-Hyun Park

“…However, there are still many errors associated with INDEL variant calling, and distinguishing INDELs from errors in NGS remains challenging. To evaluate INDEL calling from whole-exome sequencing (WES) data, we performed Sanger sequencing for all INDELs called from the several calling algorithm. …”
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Conservation and valorization of Italian potato biodiversity through genotype-by-sequencing (GBS) by M. Martina, R. Natale, R. Natale, E. Vergnano, A. M. Milani, S. Biricolti, L. Andrenelli, E. Portis

“…Genetic diversity was analyzed using genotyping-by-sequencing (GBS), and comparisons were made with a global reference panel of 106 genotypes.ResultsGBS data revealed marked genetic differentiation among the Italian landraces, with three main genetic clusters showing internal structure and minimal overlap with commercial varieties. …”
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