Space Target Recognition of Radar Cross-Section Sequence Based on Transformer by Meng Xie, Weiwei Wu, Chenchen Fu, Sujunjie Sun

“…In response to challenges in analyzing radar cross-section (RCS) sequences, we propose a deep learning-based method designed to enhance the robustness and accuracy of RCS sequence analysis for space target recognition. …”
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Transgenerational epigenetic heritability for growth, body composition, and reproductive traits in Landrace pigs by Andre C. Araujo, Jay S. Johnson, Jason R. Graham, Jeremy Howard, Yijian Huang, Hinayah R. Oliveira, Luiz F. Brito

“…Epigenetics is an important source of variation in complex traits that is not due to changes in DNA sequences, and is dependent on the environment the individuals are exposed to. …”
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LINEAR FILTRATION OF RANDOM SEQUENCES USING A LEAST SQUARE METHOD WITH REGULARIZATION by V. M. Artemiev, A. O. Naumov, L. L. Kokhan

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Novel Spatiotemporal Filter for Dim Point Targets Detection in Infrared Image Sequences by Zhaohui Li, Xiaorui Wang, Jianqi Zhang, Delian Liu

“…The proposed approach is tested via several infrared image sequences. The results show that our proposed method can significantly reduce the complex background in aerial infrared image sequence and have a good detection performance.…”
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Nested Association Mapping of Stem Rust Resistance in Wheat Using Genotyping by Sequencing. by Prabin Bajgain, Matthew N Rouse, Toi J Tsilo, Godwin K Macharia, Sridhar Bhavani, Yue Jin, James A Anderson

“…We combined the recently developed genotyping by sequencing (GBS) method with joint mapping (also known as nested association mapping) to dissect and understand the genetic architecture controlling stem rust resistance in wheat (Triticum aestivum). …”
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Y chromosome variation and prostate cancer ancestral disparities by Pamela X.Y. Soh, Alice Adams, M.S. Riana Bornman, Jue Jiang, Phillip D. Stricker, Shingai B.A. Mutambirwa, Weerachai Jaratlerdsiri, Vanessa M. Hayes

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A theory of memory for binary sequences: Evidence for a mental compression algorithm in humans. by Samuel Planton, Timo van Kerkoerle, Leïla Abbih, Maxime Maheu, Florent Meyniel, Mariano Sigman, Liping Wang, Santiago Figueira, Sergio Romano, Stanislas Dehaene

“…Both subjective complexity ratings and objective violation detection performance were well predicted by our theoretical measure of complexity, which simply reflects a weighted sum of the number of elementary instructions and digits in the shortest formula that captures the sequence in our language. While a simpler transition probability model, when tested as a single predictor in the statistical analyses, accounted for significant variance in the data, the goodness-of-fit with the data significantly improved when the language-based complexity measure was included in the statistical model, while the variance explained by the transition probability model largely decreased. …”
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Recognition method based on hesitant fuzzy set for unequal length sequences and its application by Shuangming LI, Xin GUAN, Guidong SUN

“…Aiming at the problem that unequal length sequences were difficult to recognize, a recognition method based on hesitant fuzzy distance measure was proposed.Firstly, the problem was described from the perspective of fuzzy value, and the hesitant fuzzy information recognition model of unequal length sequence was established by lattice closeness degree.Secondly, the mean value, variance, relative range and hesitancy degree of hesitant fuzzy values were defined.Combined with membership difference of the shorter part, the generalized integrated feature distance measure and the generalized weighted integrated feature distance measure were defined to meet relevant properties of metric space, and the strict mathematical proof process was given.Finally, entropy measure and support measure were proposed to determine the weight, and the VIKOR recognition method based on hesitant distance measure was given.The simulation results verify the effectiveness and feasibility of proposed method from numerical examples, energy strategy selection and target recognition respectively.…”
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Population genetic structure of Chinese Puccinia triticina races based on multi-locus sequences by Tai-guo LIU, Run-jing GE, Yu-tong MA, Bo LIU, Li GAO, Wan-quan CHEN

“…Analysis of molecular variance (AMOVA) indicated that 68% of the total genetic variation was within populations.…”
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Triangular Fibrocartilage Characterization with Ultrashort Echo Time-T2* MRI: Insights from a Healthy Cohort by Sana Boudabbous, Hicham Bouredoucen, David Ferreira Branco, Stefan Sommer, Tom Hilbert, Pierre-Alexandre Poletti, Rares Salomir, Bénédicte Marie Anne Delattre

“…The objective of this study is to measure T2* relaxation time in the triangular fibrocartilage (TFC) disc in asymptomatic volunteers and evaluate its variation with factors such as age, hand dominance, sex, and ulnar variance, using a dedicated MRI sequence. The MRI protocol included anatomical sequences as well as a 3D ultra-short echo time (UTE)-T2* mapping sequence. …”
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Analysis of abscisic acid-insensitive gene (ABI) sequence and phylogenetic relationship in genus Fagopyrum by WANG Yan, LIANG Chenggang, CHEN Qingqing, SHI Taoxiong, CHEN Qijiao, MENG Ziye, DENG Jiao, HUANG Juan, CHEN Qingfu

“…Then the gene sequence analysis was performed on nucleotide BLAST of NCBI database (http://blast.ncbi.nlm.nih.gov/Blast.cgi), and the genetic variance was analyzed by DNAsp5, and the analysis of ClustalW multiple sequence alignment, genetic distance and hierarchy were clustered by MEGA 5.05.The results showed that 20.28% of polymorphic sites were found in ABI gene fragments among 30 germplasm resources of the seven wild species of genus Fagopyrum, whereas only 1.86% of polymorphic sites were found among 14 germplasm resources of F. tataricum and 1.81% of polymorphic sites were found among five germplasm resources of F. esculentum, indicating that ABI gene sequence is highly conserved in the intraspecies of genus Fagopyrum. …”
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OPTIMAL LINEAR COMBINED FILTERING OF RANDOM SEQUENCES BASED ON THE RECURSIVE LEAST SQUARES METHOD by V. M. Artemiev, A. O. Naumov, L. L. Kokhan

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GNNSeq: A Sequence-Based Graph Neural Network for Predicting Protein–Ligand Binding Affinity by Somanath Dandibhotla, Madhav Samudrala, Arjun Kaneriya, Sivanesan Dakshanamurthy

“…The integration of GNN, XGBoost, and RF improves GNNSeq performance by hierarchical sequence learning, handling complex feature interactions, reducing variance, and forming a robust ensemble that improves predictions and mitigates overfitting. …”
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Genetic diversity and population structure analysis of Forsythia ovata, a Korean endemic, based on genotyping-by-sequencing. by Yoo-Bin Lee, Soonku So, Yoo-Jung Park, Halam Kang, Ha-Rim Lee, Jae-Hyeong Kim, Ho-Kwon Gwak, Kyung-Ah Kim, Kyeong-Sik Cheon

“…The analysis of molecular variance (AMOVA) results indicated that most genetic variation occurred within individuals, accounting for 86.66% of the total variance. …”
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FORMATION OF POTENTIAL HETEROTIC GROUPS OF MAIZE INBRED LINES USING VARIATION AT SIMPLE SEQUENCE REPEAT LOCI by Neyaz R. Mustafa, Sakar A. Kakarash, Namam B. Ismael, Sebar D. Abdulazeez

“…Analysis of the molecular variance (AMOVA) indicated higher divergence among the maize lines, suggesting the existence of different groups. …”
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Global stock structure of the Silky shark (Carcharhinus falciformis, Carcharhinidae) assessed with high-throughput DNA sequencing by Derek W. Kraft, Emily E. Conklin, Evan B. Freel, Melanie Hutchinson, Julia L.Y. Spaet, Robert J. Toonen, Zac H. Forsman, Michael I. Grant, John David Filmalter, John R. Hyde, Simon J.B. Gulak, Brian W. Bowen

“…Using an analysis of molecular variance (AMOVA) framework, 22.24% of the observed population variance is explained by RFMOs, 32.1% is explained among ocean basins, and 34.81% is explained by the DAPC-identified groups. …”
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Genetic Diversity of Arabica Coffee (Coffea arabica L.) in Nicaragua as Estimated by Simple Sequence Repeat Markers by Mulatu Geleta, Isabel Herrera, Arnulfo Monzón, Tomas Bryngelsson

“…Twenty-six populations that represent eight varieties in Nicaragua were investigated using simple sequence repeat (SSR) markers. A total of 24 alleles were obtained from the 12 loci investigated across 260 individual plants. …”
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DeVa (Decay Variance): A Novel Score Calculated via Postprocessing the Changes in Signal Intensity of an Intervertebral Disc in a T2* Multi‐Echo Magnetic Resonance Image Can Quanti... by Stone Sima, Alisha Sial, Suhani Sharma, Dheera Ananthakrishnan, Jeff Kuan, Ashish Diwan

“…A novel post‐processing MRI technique, Decay Variance (DeVa), has shown promise in differentiating degenerate from healthy discs in animal studies. …”
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Bulk T-cell receptor sequencing confirms clonality in obstetric antiphospholipid syndrome and may as a potential biomarker by Qi Liu, Shuo Yang, Yuan Tan, Weimin Feng, Qingchen Wang, Jiao Qiao, Boxing Yang, Chong Wang, Jingjin Tao, He Wang, Liyan Cui

“…Marked variances were found in the genomic rearrangements of the V gene, J gene, and V/J combinations. …”
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Single‐microbe RNA sequencing uncovers unexplored specialized metabolic functions of keystone species in the human gut by Yifei Shen, Wenxin Qu, Mengdi Song, Tianyu Zhang, Chang Liu, Xiaofeng Shi, Xinxin Xu, Jingjing Jiang, Liguo Ding, Fangyu Mo, Zheying Mao, Mingzhu Huang, Ziye Xu, Jiaye Chen, Enhui Shen, Jian Ruan, Jiong Liu, Michael P. Timko, Yu Chen, Longjiang Fan, Shufa Zheng, Yongcheng Wang

“…Our results indicated that species‐function heterogeneity widely exists and plays important roles in the human gut microbiome, and through single‐microbe RNA sequencing, we have been able to capture the transcriptional activity variances and identify keystone species with specialized metabolic functions of possible biological and clinical importance.…”
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