The Effect of Derived Features on Art Genre Classification with Machine Learning by Didem Abidin

“…Although this process was used to be done by art experts before, now artificial intelligence techniques may help people manage this classification task. …”
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Single target tracking in high-resolution satellite videos: a comprehensive review by Xin Huang, Ding Wang, Qiqi Zhu, Ying Zheng, Qingfeng Guan

“…To identify emerging research trends and opportunities, we classify established and emerging algorithms into three main categories and evaluate their performance on typical satellite videos. …”
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The Development and Application of Multi-Cell Elliptical Superconducting Cavity Pre-Tuning Equipment by Ahong Li, Lin Meng, Huachang Liu, Yao Yang, Qiang Chen, Bo Li, Xiaolei Wu, Peihua Qu, Mengxu Fan, Wenzhong Zhou, Cong Zhang

“…This platform integrates three main components: real-time electric field measurements, data analysis based on tuning algorithms, and automated mechanical adjustment systems. …”
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Procedimiento administrativo e inteligencia artificial by Roberto González de Zárate Lorente

“…Specifically, we start with some brief preliminary considerations on the subject of AI, and after a reference to the current legal regime, we will look at the administrative procedure: the need to articulate the necessary guarantees, in particular, human supervision, in order to minimize the risks that the use of algorithms and AI may entail, and the possibility of using them in the administrative procedure. …”

Zero-shot building footprint extraction and regularization based on Segment Anything model with Mesh Model by J. Zhong, Y. Zhang, Y. Zhang, X. Liu, X. Liu, J. Zhang, L. Fei, W. Xia, B. Zhang, W. Fan, D. Yue

“…Combine it with the updated bounding box to form hybrid prompt, and input SAM to generate a refined building mask. 3) Footprint regularization: Kinetic Partition, Markov random field, and Region Growth Algorithm are used to extract regularized building contours. …”
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Analyzing Satellite Imagery to Target Tuberculosis Control Interventions in Densely Urbanized Areas of Kigali, Rwanda: Cross-Sectional Pilot Study by Mauro Faccin, Caspar Geenen, Michiel Happaerts, Sien Ombelet, Patrick Migambi, Emmanuel André

“…However, our results suggest that analyzing satellite imagery may allow the identification of urban areas where inhabitants are at higher risk of TB. …”
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CLINICAL AND LABORATORY ASPECTS OF DETECTING SPECIFIC IgE ANTIBODIES TO COW’S MILK AND ITS COMPONENTS by N. A. Alkhutova, N. A. Kovyazina, O. L. Zhizhina

“…Clinical signs of the milk allergy are non-specific, and they may be pronounced or expressed in mild form, thus enabling hypodiagnistics of this disorder. …”
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Oxidative stress gene expression in ulcerative colitis: implications for colon cancer biomarker discovery by Ting Yan, Ting Su, Miaomiao Zhu, Qiyuan Qing, Binjie Huang, Jun Liu, Tenghui Ma

“…This analysis suggests that immune cells may collaborate with OXSRDEGs to impact the onset and progression of diseases. …”
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Impact of the number of dissected lymph nodes on machine learning-based prediction of postoperative lung cancer recurrence: a single-hospital retrospective cohort study by Kyoichi Okishio, Shinji Atagi, Kensuke Kojima, Hironobu Samejima, Toshiteru Tokunaga, Hyungeun Yoon

“…The risk of recurrence is minimised when approximately 10 nodes are dissected but may increase when >20 nodes are removed. Limiting lymph node dissection to approximately 20 nodes may help to preserve a favourable antitumour immune environment. …”
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Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning by Jianhui Chen, Qun Li, Xiaofang Liu, Fang Lin, Yaling Jing, Jiayan Yang, Lianfang Zhao

“…These findings may provide new mechanistic insights or therapeutic targets for further research of EMs and RPL.…”
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Spectral divergence prioritizes key classes, genes, and pathways shared between substance use disorders and cardiovascular disease by Everest Castaneda, Everest Castaneda, Elissa Chesler, Erich Baker

“…The graph clustering method simultaneously provides insight into the specific biological pathways underlying these distinctions and may reveal future basic and clinical research avenues into addressing the cardiovascular sequelae of SUD.…”
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Analysis and validation of necroptosis-related diagnostic biomarkers associated with immune infiltration in bronchopulmonary dysplasia by Haixia Tu, Changjiang Fang, Ping Gan, Yunyun Gu, Nana Peng, Honghua Jiang, Weiwei Hou, Guihua Shu

“…Correlation analysis showed that three hub genes may correlate with immune cells to varying degrees. …”
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Treatment of infections in young infants in low- and middle-income countries: a systematic review and meta-analysis of frontline health worker diagnosis and antibiotic access. by Anne C C Lee, Aruna Chandran, Hadley K Herbert, Naoko Kozuki, Perry Markell, Rashed Shah, Harry Campbell, Igor Rudan, Abdullah H Baqui

“…<h4>Conclusions</h4>Trained frontline health workers may screen for pBI in young infants with relatively high sensitivity and lower specificity. …”
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Opening closed doors: using machine learning to explore factors associated with marital sexual violence in a cross-sectional study from India by Anita Raj, Abhishek Singh, Nandita Bhan, Lotus McDougal, Nabamallika Dehingia, Julian McAuley

“…A neural network model identified variables that largely corresponded to these themes.Conclusions This analysis identified several themes that may be promising avenues to identify and support women experiencing MSV, and to mitigate these traumatic experiences. …”
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Strategy for Optimizing Vitamin B12 Production in <i>Pseudomonas putida</i> KT2440 Using Metabolic Modeling by Thomaz Satuye Prieto-de Lima, Keilor Rojas-Jimenez, Christopher Vaglio

“…<b>Conclusions</b>: We propose that, with the addition of aminopropanol linker genes and the modification of riboswitches, <i>P. putida</i> KT2440 may become a suitable host for the industrial production of vitamin B₁₂.…”
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Exploring Transfer Learning for Anthropogenic Geomorphic Feature Extraction from Land Surface Parameters Using UNet by Aaron E. Maxwell, Sarah Farhadpour, Muhammad Ali

“…We suggest that pre-trained models developed using large, image-based datasets may be of value for anthropogenic geomorphic feature extraction from LSPs even given the data and task disparities. …”
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Dynamic Domain Sizes in Temporal Probabilistic Relational Models by Nils Finke, Tanya Braun, Marcel Gehrke, Ralf Möller

“…While for different points in time, information about objects may differ, the set of objects under consideration is the same for all time points in standard PDRMs. …”
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Sentinel-3 Altimetry Thematic Products for Hydrology, Sea Ice and Land Ice by Jérémie Aublanc, Julien Renou, Fanny Piras, Karina Nielsen, Stine K. Rose, Sebastian B. Simonsen, Sara Fleury, Stefan Hendricks, Nicolas Taburet, Giovanni D’Apice, Anouk Chamayou, Pierre Féménias, Filomena Catapano, Marco Restano

“…In this paper, the new architecture of the ground segment processing is presented, along with the major algorithmic developments. The main data content of the Thematic Products is also described, to indicate the key product variables for the end users. …”
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The Evaluation of Radiolabeled Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography for Initial Staging in Intermediate-Risk Prostate Cancer Patients... by Laura Evangelista, Priscilla Guglielmo, Giulia Giacoppo, Lucia Setti, Demetrio Aricò, Lorenzo Muraglia, Katia Marzo, Nicolò Buffi, Vittorio Fasulo, Marcello Rodari, Jelena Jandric, Antonio Salvaggio, Manuela Bonacina, Massimo Lazzeri, Giovanni Lughezzani

“…The inclusion of PSMA PET/CT in the diagnostic algorithm for patients with intermediate-risk PCa impacted patient management in 24 (13.3%) cases, based on the multidisciplinary team decision. …”
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Observational Limitations to the Emergence of Climate Signals by Louis Rivoire, Marianna Linz, Jingyuan Li

“…In reality, observational knowledge suffers from data quality and availability issues, for instance data gaps, changes in instrumentation, issues due to gridding and retrieval algorithms. Overlooking such deficiencies leads to misrepresentations of the time of emergence (ToE). …”
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