Radiomics to predict tumor response to combination chemoradiotherapy in squamous cell carcinoma of the anal canal: a preliminary investigation by Andrea Vanzulli, Lucilla Violetta Sciacqua, Filippo Patti, Roza Drebot, Eros Montin, Riccardo Lattanzi, Laura Anna Maria Lozza, Sergio Villa, Davide Scaramuzza

“…We report the preliminary results of a customized radiomic algorithm designed to predict tumor response to CRT in patients affected by SCC of the anal canal. …”
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Parental BPA exposure disrupts offspring transcriptomic profiles and impairs embryonic lineage specification during zygotic genome activation by Yuequn Chen, Kusheng Wu, Wenlong Huang

“…Digital cell type deconvolution revealed altered cell composition, including deeper multilayer and enveloping layer cells and fewer margin cells. …”
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iGPCR-drug: a web server for predicting interaction between GPCRs and drugs in cellular networking. by Xuan Xiao, Jian-Liang Min, Pu Wang, Kuo-Chen Chou

“…In the predictor, the drug compound is formulated by a 2D (dimensional) fingerprint via a 256D vector, GPCR by the PseAAC (pseudo amino acid composition) generated with the grey model theory, and the prediction engine is operated by the fuzzy K-nearest neighbour algorithm. …”
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Characterizing Heterogeneity within Head and Neck Lesions Using Cluster Analysis of Multi-Parametric MRI Data. by Marco Borri, Maria A Schmidt, Ceri Powell, Dow-Mu Koh, Angela M Riddell, Mike Partridge, Shreerang A Bhide, Christopher M Nutting, Kevin J Harrington, Katie L Newbold, Martin O Leach

“…<h4>Results</h4>The clustering algorithm was able to separate clusters which significantly reduced in voxel number following induction chemotherapy from clusters with a non-significant reduction. …”
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An Efficient SAR Raw Signal Simulator Accounting for Large Trajectory Deviation by Shaoqi Dai, Haiyan Zhang, Cheng Wang, Zhongwei Lin, Yi Zhang, Jinhe Ran

“…A synthetic aperture radar (SAR) raw signal simulator is useful for supporting algorithm innovation, system scheme verification, etc. …”
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Bias-aware degradation models for reinforced concrete bridges based on XAI by Francesca Marsili, Filippo Landi, Rade Hajdin, Sylvia Kessler

“…This work addresses this issue by developing a composite analysis based on explainable artificial intelligence techniques to analyze condition data and derive degradation models for existing bridge components. …”
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Prototype multi-agent robotic debris removal system: principles of development and experimental studies by S. V. Manko, V. M. Lokhin, S. A. K. Diane

“…The principles of development, architecture, and composition are described for the software and algorithms of a prototype of the multi-agent robotic system created at RTU MIREA as part of integrated research for the creation of tools and methods of group control of robots. …”
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Thermal Cracking Analysis of Microbial Cemented Sand under Various Strains Based on the DEM by Yang Tang, Guobin Xu, Yue Yan, Dengfeng Fu, Chunlai Qu, Zilong Li, Evance Chaima

“…A precision DEM modelling of MCS, mainly composed of irregular particle modelling and a mesoparameter calibration algorithm, has been proposed for the thermal cracking analysis under various strains (i.e., 1.0‰–3.0‰). …”
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Geoinformatics-based prioritisation of natural resources rich regions at disaggregated levels for sustainable management by T. V. Ramachandra, Paras Negi

“…Changes in the landscape structure would lead to alterations in the composition and health of these regions with irreversible changes in the ecosystem process, impacting the sustenance of natural resources. …”
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Non-Targeted Metabolomics Analysis of Small Molecular Metabolites in Refrigerated Goose Breast Meat by Dongzhi Miao, Xuebei Wu, Kui Zuo, Jing Chen, Ying Wang, Junhua Pu, Haiming Yang, Zhiyue Wang

“…This study used non-targeted metabolomics and the random forest algorithm to investigate metabolite changes in goose meat over an extended storage period. …”
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A new format of bachelors’ final state certification in the field of training «Library-information activity»: a development technology by G. M. Bragina, A. Sh. Merkulova

“…Components of a bachelor work, requirements for its structure, implementation algorithm, rules of registration and representation are enshrined at the University standard «Graduate qualification works». …”
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In Infants with Neuroblastoma Standard Therapy Only Partially Reverts the Fecal Microbiome Dysbiosis Present at Diagnosis by Maria Valeria Corrias, Eddi Di Marco, Carola Bonaretti, Margherita Squillario, Loredana Amoroso, Massimo Conte, Mirco Ponzoni, Roberto Biassoni

“…By applying several algorithms to 16S sequencing, we found that the fecal microbiomes of infants with NB at onset were abundant in <i>Pseudomonadota</i>, including different descendants of <i>Gammaproteobacteria.…”
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Modeling the Stability of the Housing and Construction Complex Based on Organizational and Economic Interaction of Entities by N. N. Shelomentseva, O. V. Grushina

“…The second research objective was to find a solution to the multi-criteria problem of aligning the interests of economic entities in housing construction. A genetic algorithm in MATLAB was used for this purpose. Acceptable options for all participants were selected from a set of Pareto-optimal alternatives based on the preferences of the decision-maker. …”
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Winemaking terroir – the guideline for choosing of grape rootstocks for soils with different characteristics by А. А. Averianov, E. D. Androsova, A. V. Rusakov

“…The aim was to create an algorithm for selecting varieties based on local terroir factors and apply it to the design of vineyards. …”
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Identification of a PANoptosis-related gene signature reveals therapeutic potential of SFRP2 in pulmonary arterial hypertension by Li Li, Mukamengjiang Juaiti

“…The immune landscape in PAH was characterized using the CIBERSORT algorithm, providing insights into immune cell composition and its role in disease progression. …”
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Identification of key genes in periodontitis by Xianyang Cheng, Shan Shen

“…The disease mechanism results from intricate interactions between hereditary factors, the body’s defense mechanisms, and shifts in the composition of oral microbiota, with each element playing a crucial role in the initiation and advancement of the pathological process. …”
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Profiles of immune infiltration in colorectal cancer and their clinical significant: A gene expression‐based study by Yongfu Xiong, Kang Wang, He Zhou, Linglong Peng, Wenxian You, Zhongxue Fu

“…In this study, based on a deconvolution algorithm (known as CIBERSORT) and clinical annotated expression profiles, we comprehensively analyzed the tumor‐infiltrating immune cells present in CRC for the first time. …”
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A SWIN-based vision transformer for high-fidelity and high-speed imaging experiments at light sources by Songyuan Tang, Tekin Bicer, Kamel Fezzaa, Samuel Clark

“…We characterize model parameters that could affect the training scalability, quality of the reconstruction, and running time during the model inference stage, such as the batch size, number of input frames to the model, their composition in terms of low and high-resolution frames, and the model size and architecture.ResultsWith 3 subsequent low resolution (LR) frames and another 2 high resolution (HR) frames differing in the spatial and temporal resolutions by factors of 4 and 20, respectively, the proposed algorithm achieved an average peak signal-to-noise ratio of 37.40 dB and 35.60 dB.DiscussionFurther, the model was trained on the Argonne Leadership Computing Facility's Polaris HPC system using 40 Nvidia A100 GPUs, speeding up the end-to-end training time by about ~10 × compared to the training with beamline-local computing resources.…”
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Tracking the Dynamics of Salt Marsh Including Mixed-Vegetation Zones Employing Sentinel-1 and Sentinel-2 Time-Series Images by Yujun Yi, Kebing Chen, Jiaxin Xu, Qiyong Luo

“…Accurate monitoring of vegetation distribution and composition is crucial for salt marsh protection. However, achieving accurate mapping has posed a challenge. …”
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Deep Learning for Spectroscopic X‐ray Nano‐Imaging Denoising by Tianyu Fu, Kai Zhang, Qingxi Yuan, Jizhou Li, Piero Pianetta, Yijin Liu

“…To address this issue, a deep learning‐based algorithm is developed for suppressing the image noise, grounded in self‐supervised learning principles. …”
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