The role of vascularity and the fibrovascular interface in interstitial lung diseases by Jana Dietrich, Alice Kang, Birger Tielemans, Stijn E. Verleden, Hassan Khalil, Florian Länger, Philipp Bruners, Steven J. Mentzer, Tobias Welte, Michael Dreher, Danny D. Jonigk, Maximilian Ackermann

“…Different patterns of pulmonary fibrosis commonly exhibit detectable pathological features such as morphomolecular changes, including intussusceptive and sprouting angiogenesis, vascular morphometry, broncho-systemic anastomoses, and aberrant angiogenesis-related gene expression patterns. …”
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Probabilistic machine learning-based phytoplankton abundance using hyperspectral remote sensing by Do Hyuck Kwon, Jung Min Ahn, Jong Cheol Pyo, Jiye Lee, Ather Abbas, Sanghyun Park, Kyunghyun Kim, Hyuk Lee, Kyung Hwa Cho

“…Utilizing a Bayesian neural network and natural gradient-boosting algorithm, we simulated phytoplankton abundance using airborne remote sensing data. …”
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Role of Artificial Intelligence and Personalized Medicine in Enhancing HIV Management and Treatment Outcomes by Ashok Kumar Sah, Rabab H. Elshaikh, Manar G. Shalabi, Anass M. Abbas, Pranav Kumar Prabhakar, Asaad M. A. Babker, Ranjay Kumar Choudhary, Vikash Gaur, Ajab Singh Choudhary, Shagun Agarwal

“…Despite these innovations, challenges such as data privacy, algorithmic bias, and the need for clinical validation remain. …”
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Indoor positioning systems provide insight into emergency department systems enabling proposal of designs to improve workflow by Marius Huguet, Canan Pehlivan, François Ballereau, Antoine Dodane-Loyenet, Franck Fontanili, Thierry Garaix, Youri Yordanov, Vincent Augusto, Karim Tazarourte, Abdesslam Redjaline

“…Additionally, we developed a user recognition algorithm (i.e., random forest classifier) capable of detecting the job category of the participant wearing the sensor. …”
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Comparative Analysis of Deep Learning Methods for Classification of Ablated Regions in Hyperspectral Images of Atrial Tissue by Yeva Gabrielyan, Arpi Hunanyan, Sona Bezirganyan, Lusine Davtyan, Ani Avetisyan, Narine Sarvazyan, Aram Butavyan, Varduhi Yeghiazaryan

“…The 45 classification algorithms are benchmarked through two types of experiments: objective and subjective. …”
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DistB-Condo: Distributed Blockchain-Based IoT-SDN Model for Smart Condominium by Anichur Rahman, Md. Jahidul Islam, Ziaur Rahman, Md. Mahfuz Reza, Adnan Anwar, M. A. Parvez Mahmud, Mostofa Kamal Nasir, Rafidah Md. Noor

“…It also presents an optimized Cluster Head Selection (CHS) algorithm for selecting a Cluster Head (CH) among the clusters that efficiently saves energy. …”
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Unveiling shadows: A data-driven insight on depression among Bangladeshi university students by Sanjib Kumar Sen, Md. Shifatul Ahsan Apurba, Anika Priodorshinee Mrittika, Md. Tawhid Anwar, A.B.M. Alim Al Islam, Jannatun Noor

“…After rigorous analysis, Random Forest emerged as the best-performing algorithm, exhibiting remarkable accuracy (87%), precision (78%), recall (95%), and f1-score (86%). …”
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Landscape analysis of m6A modification regulators reveals LRPPRC as a key modulator in tubule cells for DKD: a multi-omics study by Li Jiang, Hongda Yu, Jie Jian, Xulin Sai, Yudian Wang, Yufei Zhang, Xiai Wu

“…The output of 3 types of machine learning algorithm and differential analysis has determined the LRPPRC as the hub gene. …”
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Comparative analysis of antibodies and lymphocytes in pulmonary tuberculosis patients with negative and positive cultures by Fernando-Renato Cázares-Sosa, Alejandro Hernández-Solís, Atenea-Estela Andrés-Dionicio, Heliodora González-González, Miguel Ibáñez-Hernández, Raúl Cicero-Sabido, Herón Huerta, Raquel Tapia-Romero, Jorge-Luis de-la-Rosa-Arana

“…The results will contribute to improve the diagnostic algorithm and appropriate treatment of patients with clinical tuberculosis. …”
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Revealing the role of U2AF1 in splicing regulation and chimeric RNA dynamics by Sangeen Khan, Yue Tang, Yangyang Guo, Jing Feng, Hui Wu, Zhenguo Song, Chengjuan Zhang, Fujun Qin

“…Subsequently, we utilized the SOAPfuse algorithm to detect and characterize chimeric RNAs from the paired-end RNA sequencing data. …”
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Global air quality index prediction using integrated spatial observation data and geographics machine learning by Tania Septi Anggraini, Hitoshi Irie, Anjar Dimara Sakti, Ketut Wikantika

“…The GML considers geographical characteristics in the analysis by calculating the optimal bandwidth area in its algorithm. The study employs nine scenarios to identify which parameters significantly contribute to the model and determine the best parameter combinations. …”
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Proteolytic shedding of CD46 from human hepatocytes indicates liver stress by Paul Kupke, Jordi Yang Zhou, Gunther Glehr, Paloma Riquelme, Lena Scheibert, Akinbami Adenugba, Hans J. Schlitt, Edward K. Geissler, Jens M. Werner, James A. Hutchinson

“…Conclusions: sCD46 appears to be a promising biomarker with potential applications in the detection of early liver diseases or monitoring therapeutic responses, which could complement established diagnostic algorithms because sCD46 release is uniquely responsive to hepatocyte stress.…”
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OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers by Mustafa Arikan, James Willoughby, Sevim Ongun, Ferenc Sallo, Andrea Montesel, Hend Ahmed, Ahmed Hagag, Marius Book, Henrik Faatz, Maria Vittoria Cicinelli, Amani A. Fawzi, Dominika Podkowinski, Marketa Cilkova, Diana Morais De Almeida, Moussa Zouache, Ganesham Ramsamy, Watjana Lilaonitkul, Adam M. Dubis

“…This dataset improves upon this with multi-grader and multi-disease labels for training machine learning-based algorithms. The proposed dataset covers three subsets of scans (Age-related Macular Degeneration, Diabetic Macular Edema, and healthy) and annotations for two types of tasks (semantic segmentation and object detection). …”
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A 5G Roadside Infrastructure Assisting Connected and Automated Vehicles in Vulnerable Road User Protection by Raffaele Viterbo, Federico Campolo, Mattia Cerutti, Satyesh Shanker Awasthi, Stefano Arrigoni, Mattia Brambilla, Monica Nicoli

“…More specifically, we present a Roadside Unit (RSU) capable to detect, localize, and track VRUs; a communication architecture that exploits 5G V2X connectivity for sending VRUs detections; a CAV with on-board algorithms warning the driver of the presence of the VRU and an Autonomous Emergency Braking (AEB) solution triggered by the 5G V2X architecture. …”
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Study on Rapid Inversion Method for Chlorophyll Content in Ginseng Leaves Based on Reflectance Spectroscopy by Jinyu Wang, Jin Yang, Jiaqi Chen, Shulong Feng, Zitong Zhao, Mingjia Wang, Nan Song, Wei Zhang, Ci Sun

“…To address the problem that the existing means of detecting chlorophyll in ginseng leaves are time-consuming and disruptive and cannot meet the demand for rapid detection of chlorophyll in ginseng leaves, this study firstly establishes a variety of prediction models for chlorophyll in ginseng leaves based on the hyperspectral reflectance data and the vegetation index, respectively, and determines the strengths and weaknesses of the models by comparing the RMSE and the MAE of the test sets; Secondly, the analytical model construction process used for ginseng leaf chlorophyll content prediction was obtained through comparison and summary, and a fast and non-destructive ginseng leaf chlorophyll prediction method based on hyperspectral imaging technology and combining vegetation indices with machine learning algorithms was proposed; The experimental results showed that the final VI-SPA-RFR ginseng leaf chlorophyll prediction model had the best prediction performance, which had an RMSE of 1.1568 and an MAE of 0.9936 in the test set. …”
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Real-time monitoring of water quality dynamics using low-cost sensor networks in Lagos lagoon by Idowu Ayisat Aneyo, Mumin Olatunji Oladipo, Funmilayo Victoria Doherty, Julius Osato Ehigie, Adebayo Fasasi Adebari, Abdulwakeel Oluwatobi Atoyebi, Peter Ozomata Balogun, Ambrose Obinna Ikpele

“…Future research should focus on enhancing wireless communication, refining species detection algorithms and improving sensor resilience in harsh aquatic conditions.…”
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Ultra-Low Dose Computed Tomography Imaging in Quantifying Bone Trauma and Disorders: A Cross-Sectional Study by Fariba Zarei, Seyedeh Marzieh Ahmadi, Saber Dehbani-Zadeh, Anahita Jafari, Vyas Akondi, Sabyasachi Chatterjee, Seyed Alireza Mirhosseini, Rezvan Ravanfar Haghighi

“…This study aims to assess the effectiveness of ultra-low-dose CT (ULD-CT) imaging, reconstructed using an Iterative Reconstruction (IR) algorithm, in detecting bone trauma and disorders.Methods: In the present cross-sectional study, 71 patients with CT requests for spine or extremity (limb) bone underwent scanning using standard dose (SD) and ULD-CT protocols, in Shahid Faghihi Hospital, Shiraz, Iran from June 2019 to June 2020. …”
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Metabolic syndrome and pancreatic lesions by O. S. Shifrin, I. A. Sokolina, A. E. Leonovich, M. A. Ashitko, T. L. Lemina, A. V. Korolyov

“…Original investigation algorithm was based on tasks of the study and included careful inquiry and physical investigation of patients. …”
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NTCP polymorphisms were associated with fibrosis development in patients with chronic HBV infection by Zhenzhen Su, Bei Cai, Xiaojuan Wu, Lixin Li, Bin Wei, Liye Meng, Lu Wang, Lanlan Wang

“…Serum biomarkers of liver function were detected, and hepatocellular carcinoma properties were collected as well. …”
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A shift from multiple to monocropping farming system in response to change in agroforestry-dominated land use type in East Africa Rift Valley by Mulushewa Fita, Senbetie Toma, Wu Wei, Eshetu Yirsaw, Haile Ketema, Belew Bekele

“…Landsat images (2001–2021) were used to detect LULC change using maximum likelihood algorithm. …”
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