Deep cascaded registration and weakly-supervised segmentation of fetal brain MRI by Valentin Comte, Mireia Alenya, Andrea Urru, Judith Recober, Ayako Nakaki, Francesca Crovetto, Oscar Camara, Eduard Gratacós, Elisenda Eixarch, Fatima Crispi, Gemma Piella, Mario Ceresa, Miguel A. González Ballester

“…This multi-resolution approach allows for a more accurate and detailed registration process, capturing both coarse and fine image structures. Our method outperforms existing state-of-the-art techniques, including other multi-resolution strategies, by a substantial margin. …”
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Whole-Genome Identification and Analysis of Carbohydrate Esterase Gene Family in <i>Colletotrichum graminicola</i> by Wenting Zhu, Limin Wang, Honglian Li, Yan Shi, Jiaxin Chang, Senbo Wang, Xu Liu, Penghao Ma, Jinzhang Zhao, Yan Liu, Yafei Wang

“…We identified 128 <i>CE</i> genes through whole-genome analysis and functional annotation of <i>C. graminicola</i> TZ–3 here. We further analyzed the physicochemical properties, subcellular localization, conserved motifs, gene structures, promoter regulatory elements of these 128 <i>C. graminicola CE</i> (<i>CgCE</i>) genes. …”
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Three-dimensional visualization and navigation for micro-noninvasive uterine fibroid surgery based on MRI and ultrasound image fusion by Ting Wang, Yingang Wen, Zhibiao Wang, Zhibiao Wang, Xi Li

“…The YOLACT model was applied to achieve rapid delineation of the uterus and key anatomical structures in real-time US images. To enhance the accuracy of lesion localization and navigation, the Iterative Closest Point (ICP) algorithm was employed for the registration of preoperative MRI with intraoperative US images.Results and discussionExperimental results demonstrated that the system achieved a Dice Similarity Coefficient (DSC) exceeding 90% for the segmentation and identification of anatomical structures such as the uterus and fibroids. …”
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Of the teachers, by the teachers, for the teachers - The 7Cs Framework of (English) Grammar for Practical, Pedagogical Purposes by Deak Kirkham, Milada Walková, FHEA

“…In addition to offering a standardised terminology and annotational techniques, the 7Cs framework offers sufficient capacity to capture the complexities of various structures. …”
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Ultrasound Segmentation Using Semi-Supervised Learning: Application in Point-of-Care Sarcopenia Assessment by Hamza Rasaee, Maryia Samuel, Bahareh Behboodi, Jonathan Afilalo, Hassan Rivaz

“…Ultrasound imaging is crucial in medical diagnostics, offering real-time visualization of internal anatomical structures. However, accurate automatic segmentation of ultrasound images remains challenging, particularly in scenarios with limited labeled data. …”
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Monitored reconstruction improved by post-processing neural network by A.V. Yamaev

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Object deprofiling in the context of inherently causative verbs: A case study of the semantically similar verbs build, construct, and create by Heike Baeskow

“…The analyses are innovative in that they are largely based on contexts from the Concretely Annotated English Gigaword corpus, which allows users to search for syntactic structures and thus to extract intransitive uses of inherently transitive verbs. …”
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PlanText: Gradually Masked Guidance to Align Image Phenotypes with Trait Descriptions for Plant Disease Texts by Kejun Zhao, Xingcai Wu, Yuanyuan Xiao, Sijun Jiang, Peijia Yu, Yazhou Wang, Qi Wang

“…First, for training and validation, we annotate 5,728 disease phenotype images with expert diagnostic text and provide annotated text and trait labels for 210,000 disease images. …”
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A high-resolution anatomical atlas of the transcriptome in the mouse embryo. by Graciana Diez-Roux, Sandro Banfi, Marc Sultan, Lars Geffers, Santosh Anand, David Rozado, Alon Magen, Elena Canidio, Massimiliano Pagani, Ivana Peluso, Nathalie Lin-Marq, Muriel Koch, Marchesa Bilio, Immacolata Cantiello, Roberta Verde, Cristian De Masi, Salvatore A Bianchi, Juliette Cicchini, Elodie Perroud, Shprese Mehmeti, Emilie Dagand, Sabine Schrinner, Asja Nürnberger, Katja Schmidt, Katja Metz, Christina Zwingmann, Norbert Brieske, Cindy Springer, Ana Martinez Hernandez, Sarah Herzog, Frauke Grabbe, Cornelia Sieverding, Barbara Fischer, Kathrin Schrader, Maren Brockmeyer, Sarah Dettmer, Christin Helbig, Violaine Alunni, Marie-Annick Battaini, Carole Mura, Charlotte N Henrichsen, Raquel Garcia-Lopez, Diego Echevarria, Eduardo Puelles, Elena Garcia-Calero, Stefan Kruse, Markus Uhr, Christine Kauck, Guangjie Feng, Nestor Milyaev, Chuang Kee Ong, Lalit Kumar, MeiSze Lam, Colin A Semple, Attila Gyenesei, Stefan Mundlos, Uwe Radelof, Hans Lehrach, Paolo Sarmientos, Alexandre Reymond, Duncan R Davidson, Pascal Dollé, Stylianos E Antonarakis, Marie-Laure Yaspo, Salvador Martinez, Salvador Martinez, Richard A Baldock, Gregor Eichele, Andrea Ballabio

“…We identified 1,002 tissue-specific genes that are a source of novel tissue-specific markers for 37 different anatomical structures. The quality and the resolution of the data revealed novel molecular domains for several developing structures, such as the telencephalon, a novel organization for the hypothalamus, and insight on the Wnt network involved in renal epithelial differentiation during kidney development. …”
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Life Pattern-Based Human Attribute Estimation Using Only GPS Data by Kazuyuki Shoji, Haru Terashima, Naoki Tamura, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

“…This limitation arises because annotating stay locations and purposes in GPS data is challenging due to the complexity of urban structures and constraints on data quality. …”
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BioGoldNCDB: A Database of Gold Nanoclusters and Related Nanoparticles with Biomedical Activity by Eszter Erdei, András Mándoki, Andrea Deák, Balázs Balogh, László Molnár, István M. Mándity

“…Despite the rapid growth in biomedical applications of gold nanoclusters (AuNCs), the lack of a centralized and structured data resource hinders comparative analysis and rational design. …”
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Advanced neural network-based model for predicting court decisions on child custody by Mohammad Abrar, Abdu Salam, Faizan Ullah, Muhammad Nadeem, Hussain AlSalman, Muaadh Mukred, Farhan Amin

“…In the second phase, these documents were annotated independently by using two legal professionals. …”
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An automatic pipeline for temporal monitoring of radiotherapy-induced toxicities in head and neck cancer patients by Parsa Bagherzadeh, Khalil Sultanem, Gerald Batist, Shirin Abbasinejad Enger

“…Such toxicities are usually unavailable as structured data and are reported within textual clinical reports. …”
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The complete chloroplast genomes and phylogenetic analysis of Exbucklandia longipetala and Exbucklandia populnea (Hamamelidaceae) by Shuang Xiong, Fuqin Zhou, Shidong Wang, Yuan Huang

“…The complete chloroplast genomes of these two species had typical quadripartite structures: LSC region (88,972 bp and 88,989 bp), SSC region (18,907 bp and 18,911 bp) and a pair of inverted repeats both of 26,422 bp. …”
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Transformer-Based Single-Cell Language Model: A Survey by Wei Lan, Guohang He, Mingyang Liu, Qingfeng Chen, Junyue Cao, Wei Peng

“…First, we provide a detailed introduction about the structures and principles of transformers. Then, we review the single-cell language models and large language models for single-cell data analysis. …”
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3DZSignDB: 3D avatar SigML data for Algerian sign languageZenodo by Taha Zerrouki, Mohamed Fares Slimani, Amine Mami, Redha Mazari

“…You can use it to improve systems for automatic sign language translation. The structured and annotated ALSL lexicon that is provided helps with the ongoing development of technologies that allow everyone to communicate and with making more progress in recognizing and synthesizing sign language.…”
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An efficient fine tuning strategy of segment anything model for polyp segmentation by Mingyan Wang, Cun Xu, Kefeng Fan

“…In addressing the challenges of high annotation costs and the need for improved accuracy in colon polyp detection, this study explores the segment anything model (SAM) application and fine-tuning strategies for colon polyp segmentation. …”
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Research on information extraction methods for historical classics under the threshold of digital humanities by Lifan HAN, Zijing JI, Zirui CHEN, Xin WANG

“…Digital humanities aims to use modern computer network technology to help traditional humanities research.Classical Chinese historical books are the important basis for historical research and learning, but since their writing language is classical Chinese, it is quite different from the vernacular Chinese in grammar and meaning, so it is not easy to read and understand.In view of the above problems, the solution to extract entities and relations in historical books based on pre-trained models was proposed to obtain the rich information contained in historical texts effectively.The model usedmulti-level pre-training tasks instead of BERT's original pre-training tasks to fully capture semantic information.And the model added some structures such as convolutional layers and sentence-level aggregations on the basis of the BERT model to optimize the generated word representation further.Then, in view of the scarcity of classical Chinese annotation data, a crowdsourcing system for the task of labeling historical classics was constructed, high-quality, large-scale entity and relation data was obtained and the classical Chinese knowledge extraction dataset was constructed.So it helped to evaluate the performance of the model and fine-tune the model.Experiments on the dataset constructed in this paper and on the GulianNER dataset demonstrated the effectiveness of the model proposed in this paper.…”
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Metasurfaces & prospects of computer optics by N.L. Kazanskiy, S.N. Khonina

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Metabolite profiling in ten bread wheat (Triticum aestivum L.) genotypes in response to drought stress by Makhubu FN, Mutanda M, Madala NE, Figlan S

“…Multivariate statistical analysis (MVDA) tools, viz. principal component analysis (PCA) and the orthogonal projection to latent structures-discriminant analysis (OPLS-DA) loading scatter plot were used to identify the metabolites that are positively and negatively correlated to drought stress. …”
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