Breast cancer detection based on histological images using fusion of diffusion model outputs by Younes Akbari, Faseela Abdullakutty, Somaya Al Maadeed, Ahmed Bouridane, Rifat Hamoudi

“…These segmented regions, combined with predicted noise from the diffusion model and original images, are processed through an EfficientNet-B0 network to extract enhanced features. A transformer decoder then fuses these features to generate final detection results. …”
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Multiple independent genetic code reassignments of the UAG stop codon in phyllopharyngean ciliates. by Jamie McGowan, Thomas A Richards, Neil Hall, David Swarbreck

“…Expanding our analysis by reassembling published phyllopharyngean genome datasets led to the discovery that the UAG codon had also been reassigned to putatively code for glutamine in Hartmannula sinica and Trochilia petrani. …”
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The Strategy of Young Citizens in the Field of Unanswered Demands: A Qualitative Study in Yazd City by Fezzeh Abolhasani, Mahnaz Farahmand, Hossein Afrasiabi, Seyed Reza Javadian

“…Aligning with Derrida's theory of subversion, citizens might also seek to change gender norms or subvert dominant religious and cultural discourses. For instance, they had decoded hidden messages from the prevailing religious discourse and acknowledged changes in the status of the hijab, clothing, and performance of religious rituals, despite the emphasis of structures on observing Islamic norms. …”
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Investigating the function of flashbacks in the story of Joseph the Prophet (PBUH) by Hossein Kiani, Saeed HessamPoor, Nadia DadPoor

“…This return to the past and remembering a particular scene is goal directed and reveals a hidden side of the story and sometimes helps the reader to decode the text. Foreshadowing means predicting the story events. …”
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Deciphering Car Crash Dynamics in Greater Melbourne: a Multi-Model Machine Learning and Geospatial Analysis by Christopher JOHNSON, ZHOU Heng, Richard TAY, SUN Qian(Chayn)

“…The average land surface temperature had variable significance across scales. Socio-economically, regions with a higher proportion of childless populations were identified as more prone to accidents. …”
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The Influence of Action Video Gaming Experience on the Perception of Emotional Faces and Emotional Word Meaning by Yuening Yan, Yi Li, Xinyu Lou, Senqi Li, Yutong Yao, Diankun Gong, Weiyi Ma, Guojian Yan

“…Between-group comparisons showed that the experts had a greater change of N170 and N400 amplitudes across phases than the amateurs. …”
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Efficient tree mapping through deep distance transform (DDT) learning by Jan Schindler, Ziyi Sun, Bing Xue, Mengjie Zhang

“…While previous methods had to combine multi-model and multi-task outputs to create decision surfaces, we developed an efficient UNet-based modelling approach which focusses solely on learning the distance transforms of tree objects as cost surface for watershed segmentation. …”
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Near-field extremely large-scale MIMO data rate prediction based on deep learning by Guozhi Rong, Rugui Yao, Yifeng He

“…In terms of real-time performance, CsiNet-LSTM had an average prediction time of 0.35 s and a processing speed of 2857 samples per second, demonstrating excellent real-time processing capabilities compared to other models.…”
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Leveraging autoencoder models and data augmentation to uncover transcriptomic diversity of gingival keratinocytes in single cell analysis by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Carlos M. Ardila

“…Despite advancements, precision medicine approaches have had limited success, emphasizing the need for deeper insights into cellular subpopulations and structural immunity, particularly gingival keratinocytes. …”
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Reproductive modes in populations of late-acting self-incompatible and self-compatible polyploid Ludwigia grandiflora subsp. hexapetala in western Europe by Stoeckel, Solenn, Becheler, Ronan, Portillo-Lemus, Luis, Harang, Marilyne, Besnard, Anne-Laure, Lassalle, Gilles, Causse-Védrines, Romain, Michon-Coudouel, Sophie, Park, Daniel J., Pope, Bernard J., Petit, Eric J., Barloy, Dominique

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Less locus coeruleus degeneration and its enhanced influence on neural circuit in Parkinson's tremor by Junyan Sun, Lili Chen, Liang Li, Tao Wu, Tao Feng

“…Objectives: The involvement of the locus coeruleus in Parkinson's tremor remains unclear. We aimed to decode the role of locus coeruleus in Parkinson's tremor. …”
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Integrative multi-omics investigation of sleep apnea: gut microbiome metabolomics, proteomics and phenome-wide association study by Shuxu Wei, Ronghuai Shen, Xiaojia Lu, Xinyi Li, Lingbin He, Youti Zhang, Xianxi Huang, Zhouwu Shu

“…Intermediate connections were found between the Holdemanella genus and urinary plasminogen activator levels with SA. TIMP4 protein had a significant causal relationship with SA(IVW method: P > 0.05, PH4 = 96.1%; P = 7.85 × 10−6, PH4 in deCODE = 97.4%). …”
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Changes in length-at-first return of a sea trout (Salmo trutta) population in northern France by Josset, Quentin, Beaulaton, Laurent, Romakkaniemi, Atso, Nevoux, Marie

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Acceptability and implementation potential of a health literacy intervention to increase colorectal cancer screening in deprived areas: A qualitative study of patients and general... by Alix Boirot, Maria Claudia Addamiano, Clémence Casanova, Niamh M Redmond, Géraldine Cazorla, Michel Rotily, Anne-Marie Schott-Petelaz, Christian Balamou, Zineb Doukhi, Myriam Kaou, Françoise Couranjou, Julien Mancini, Cyrille Delpierre, Marie-Anne Durand, Aurore Lamouroux

“…<h4>Results</h4>95% of GPs expressed a clear preference for the video over the brochure. Patients had varied results with 50% preferring the video, as it demonstrated how to do the test, versus the brochure. …”
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Balancing Innovation and Ethics by Anisa Patel

“…Then, the consumer sends the kit to a lab, where scientists isolate their cells and analyze their genes, comparing the gene alleles to those in the company database.[1] According to MIT Technology Review, “By the start of 2019, more than 26 million consumers had added their DNA to four leading commercial ancestry and health databases.”[2] The contribution of data from over 26 million people enhances the accuracy of genetic testing, as a larger dataset allows for more precise analysis and insight. …”
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Balancing Innovation and Ethics by Anisa Patel

“…Then, the consumer sends the kit to a lab, where scientists isolate their cells and analyze their genes, comparing the gene alleles to those in the company database.[1] According to MIT Technology Review, “By the start of 2019, more than 26 million consumers had added their DNA to four leading commercial ancestry and health databases.”[2] The contribution of data from over 26 million people enhances the accuracy of genetic testing, as a larger dataset allows for more precise analysis and insight. …”
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Identification of prospective novel drug targets for immune thrombocytopenia by integrating plasma proteome by Wei He, Jingcheng Zhang, Mingzhe Zhao, Jinyong Fang, Fang He, Caifang Zhao

“…PheWAS indicated that drugs targeting DNAJC21 or NOTCH3 had few side effects.Discussion and Conclusion Numerous efforts are still needed to identify novel therapies for treatment of ITP. …”
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Change Detection for Forest Ecosystems Using Remote Sensing Images with Siamese Attention U-Net by Ashen Iranga Hewarathna, Luke Hamlin, Joseph Charles, Palanisamy Vigneshwaran, Romiyal George, Selvarajah Thuseethan, Chathrie Wimalasooriya, Bharanidharan Shanmugam

“…It annotates ground truth change maps in such time frames using an encoder–decoder approach with the help of an enhanced feature learning and attention mechanism. …”
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Plasma pQTL and brain eQTL integration identifies PNKP as a therapeutic target and reveals mechanistic insights into migraine pathophysiology by Jiafei Lou, Miaoqian Tu, Maosheng Xu, Zhijian Cao, Wenwen Song

“…MRVI1 showed protective effects at the protein level but had the opposite effect at the gene expression level. …”
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Proteome-wide Mendelian randomization reveals causal associations between plasma proteins and autoimmune thyroid disease by Yang Li, Weixi Zhu, Yijing Chen, Qingqing Kang, Ying Zhang, Pan Yang, Shumin Wang, Chao Liu, Yi Zhang, Qiu Zhang

“…Proteome-wide summary-level genome-wide association studies (GWAS) were collected from the UK Biobank Pharma Proteomics Project (UKB-PPP) and deCODE genetics, encompassing 2922 and 4719 plasma proteins, respectively. …”
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