Leveraging Whole-Genome Resequencing to Uncover Genetic Diversity and Promote Conservation Strategies for Ruminants in Asia by Qinqian Wang, Ying Lu, Mengfei Li, Zhendong Gao, Dongfang Li, Yuyang Gao, Weidong Deng, Jiao Wu

“…It not only reveals the intricate structure of ruminant genomes but also provides essential data for deciphering gene function, variation patterns, and evolutionary processes, thereby advancing the exploration of ruminant genetic mechanisms. …”
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Praktyczne i wychowawcze walory adnotowanej bibliografii autorskiej by Józef Jarosz

“…The main part of the article deals with the structure and functionalities of the reviewed volume. …”
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A high-resolution 20K SNP array for comprehensive genotyping and genetic mapping in Nicotiana tabacum L. by Shizhou Yu, Zhixiao Yang, Jie Zhang, Linggai Cao, Jie Liu, Peng Lu, Jiemeng Tao, Jufen Wan, Qingdong Zeng, Tenghang Xu, Peijian Cao, Jingjing Jin, Xueliang Ren

“…Performance metrics demonstrated its robustness, with high SNP call rates (93.6%–99.8%), a low technical error rate (< 1%), and a superior PolyHighResolution SNP rate (79.79%) compared to other crop SNP arrays. Population structure analysis of the NP panel revealed two major introductions of foreign germplasm that have significantly influenced the genetic diversity of Chinese tobacco resources. …”
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Research on Concrete Crack Damage Assessment Method Based on Pseudo-Label Semi-Supervised Learning by Ming Xie, Zhangdong Wang, Li’e Yin

“…By constructing a dual-path collaborative training framework and employing a dynamic pseudo-label refinement mechanism, the model achieves an F1-score of 0.883 using only 50% labeled data—a mere 1.3% decrease compared to the fully supervised benchmark DeepCrack (F1 = 0.896)—while reducing manual annotation costs by over 60%. Furthermore, a quantitative correlation model between crack fractal characteristics and structural damage severity is established by combining a U-Net segmentation network with the differential box-counting algorithm. …”
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Emergence and characterization of a ST852 Klebsiella quasipneumoniae clinical isolate coharboring blaNDM-1 and blaKPC-2 in China by Chongmei Tian, Yaping Zhao, Su Dong, Zhixin You, Jingbai Chen, Hongfeng Xu, Yuejuan Fang, Yapei Zhang

“…Conjugation-related elements were predicted using oriTfinder. The plasmid structure was visualized using Circos and similar plasmids in the public database were tracked using BacWGSTdb. …”
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Instance-level medical image classification for text-based retrieval in a medical data integration center by Ka Yung Cheng, Markus Lange-Hegermann, Jan-Bernd Hövener, Björn Schreiweis

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PlastidHub: An integrated analysis platform for plastid phylogenomics and comparative genomics by Na-Na Zhang, Gregory W. Stull, Xue-Jie Zhang, Shou-Jin Fan, Ting-Shuang Yi, Xiao-Jian Qu

“…In comparison with existing tools, key novel functionalities in PlastidHub include: (1) standardization of quadripartite structure; (2) improvement of annotation flexibility and consistency; (3) quantitative assessment of annotation completeness; (4) diverse extraction modes for canonical and specialized sequences; (5) intelligent screening of molecular markers for biodiversity studies; (6) gene-level visual comparison of structural variations and annotation completeness. …”
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Modelado de datos en TEI en proyectos de correspondencia digital en español by Marta López Izquierdo

“…I describe different practices, both in the metadata modeling and textual annotations. I evaluate how these methodologies, anchored in the disciplines of the digital humanities, contribute to the knowledge of epistolary texts in their multiple dimensions, in particular their reticular structure.…”
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Deep learning segmentation of soil constituents in 3D X-ray CT images by Maxime Phalempin, Lars Krämer, Maik Geers-Lucas, Fabian Isensee, Steffen Schlüter

“…Accurate segmentation of soil constituents in X-ray CT imagery is critical for advancing our understanding of soil structure dynamics. However, difficulties arise because of the overlapping X-ray attenuation of soil constituents, which makes segmentation based on voxel intensity alone impossible. …”
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The complete chloroplast genome of Tulipa uniflora (Liliaceae) in Mongolia by Shukherdorj Baasanmunkh, Nudkhuu Nyamgerel, Batlai Oyuntsetseg, Dariganga Munkhtulga, Andrey Erst, Serik Kubentayev, Gun-Aajav Bayarmaa, Jung Won Yoon, Hyeok Jae Choi

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Information Content Methods for Semantic Similarity: An Experimental Assessment by Antonio de Nicola, Anna Formica, Ida Mele, Francesco Taglino

“…These methods fall into two categories: extensional methods, which rely on external resources such as text corpora, and intensional methods, which depend solely on the taxonomy&#x2019;s internal structure. To evaluate these methods, we integrated each one into SemSimp, a technique used to measure the similarity between resource annotations (i.e., sets of concepts from a taxonomy). …”
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Dataset for training neural networks in concrete crack detection: laboratory-classified beam and column imagesRepositorio Institucional – Universidad de Lima by Alexandre Almeida Del Savio, Ana Luna Torres, Daniel Cárdenas-Salas, Mónica Vergara Olivera, Gianella Urday Ibarra

“…The construction industry is increasingly incorporating artificial intelligence into processes for the efficiency and accuracy of structural analysis and monitoring. However, obtaining high-quality datasets to train algorithms for detecting concrete cracks in structural components remains challenging, as such cracks normally develop over an extended period under real-world conditions. …”
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A High-Quality Phased Genome Assembly of Stinging Nettle (<i>Urtica dioica</i> ssp. <i>dioica</i>) by Kaede Hirabayashi, Christopher R. Dumigan, Matúš Kučka, Diana M. Percy, Gea Guerriero, Quentin Cronk, Michael K. Deyholos, Marco Todesco

“…Despite its relatively small size, the nettle genome displays very high levels of repetitiveness, with transposable elements comprising more than 60% of the genome, as well as considerable structural variation. This genome assembly represents an important resource for the nettle community and will enable the investigation of the genetic basis of the many interesting characteristics of this species.…”
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Multiscale Dissection of Spatial Heterogeneity by Integrating Multi‐Slice Spatial and Single‐Cell Transcriptomics by Yuqi Chen, Caiwei Zhen, Yuanyuan Mo, Juan Liu, Lihua Zhang

“…Abstract The spatial structure of cells is highly organized at multiscale levels from global spatial domains to local cell type heterogeneity. …”
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Whole-genome sequencing of Tahe red deer (Cervus hanglu yarkandensis) reveals genetic diversity and selection signatures by Te Pi, Wenfeng Yi, Zengwei Mao, Zhihua Wang, Hao Sun, Shouqing Yan

“…This study aimed to investigate the genetic diversity, population structure, and selection signals of TRD using whole-genome sequencing data. …”
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Assembly and comparative analysis of the complete mitogenome of Rubus chingii var. suavissimus, an exceptional berry plant possessing sweet leaves by Yujie Shi, Zhen Chen, Jingyong Jiang, Wenwu Wu, Yue Xin, Wei Zeng

“…The mitogenome of R. chingii var. suavissimus was a typical master circle structure, spanning 432,483 bp and containing 34 unique protein-coding genes (PCGs), 20 tRNAs, and 3 rRNAs. …”
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A genome-wide association study identified SNP markers and candidate genes associated with morphometric fruit quality traits in mangoes by Shamseldeen Eltaher, Jin Li, Barbie Freeman, Sukhwinder Singh, Gul Shad Ali

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Improved Hypernymy Detection Algorithm Based on Heterogeneous Graph Neural Network by Li Ren, Jing Huang, Hai-Tao Jia, Shu-Bao Sun, Kai-Shi Wang, Yi-Le Wu

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SmilODB: a multi-omics database for the medicinal plant danshen (Salvia miltiorrhiza, Lamiaceae) by Yong-Hui Liu, Wen-Qiong Zeng, Si-Fan Tao, Yi-Nuo Du, Fei-Hong Yu, Zhe-Chen Qi, Dong-Feng Yang

“…Although various omics resources have been published, there remains a lack of an integrated platform to unify genomic, transcriptomic, proteomic, and metabolomic data.MethodsTo address this gap, we constructed the S. miltiorrhiza Multi-omics Database (SmilODB, http://www.isage.top:56789/), which systematically integrates publicly available genome assemblies, transcriptome datasets, metabolic pathway annotations, and protein structural predictions. Protein structures were predicted using the RoseTTAFold algorithm, and all data were visualized using interactive heat maps, line charts, and histograms.ResultsSmilODB includes: (i) two genome assemblies of S. miltiorrhiza, (ii) 48 tissue-specific transcriptome datasets from root, leaf, and other vegetative tissues, (iii) annotated biosynthetic pathways for bioactive compounds such as tanshinones and salvianolic acids, and (iv) 2,967 high-confidence protein models. …”
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[the] Sensorium of Machine Architecture and the Onomatope/o by Bryan Cantley

“…The palimpsest and pentimento both become the notation and annotation in a new set of investigational works. It additionally briefly traces a synthetic structure of a con-structed language to describe the fuzzy parameters of these constructs. …”
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