Pharmacotherapeutic Options for Ophthalmic Conjunctivitis by A. D. van Eyk

“…There is however a challenge in distinguishing between the various types of conjunctivitis due to the similarity in the symptoms and due to a lack of tests and prediction algorithms, thus antibiotic therapy is often incorrectly initiated. …”
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A Review on Machine Learning Models in Injection Molding Machines by Senthil Kumaran Selvaraj, Aditya Raj, R. Rishikesh Mahadevan, Utkarsh Chadha, Velmurugan Paramasivam

“…Some problems include data division, collection, and preprocessing steps, such as considering the inputs, networks, and outputs, algorithms used, models utilized for testing and training, and performance criteria set during validation and verification. …”
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Shared gene signatures and molecular mechanisms link ankylosing spondylitis and rheumatoid arthritis by Boli Qin, Xiaopeng Qin, Jie Ma, Chenxing Zhou, Tianyou Chen, Jichong Zhu, Chengqian Huang, Shaofeng Wu, Rongqing He, Songze Wu, Sitan Feng, Jiarui Chen, Jiang Xue, Wendi Wei, Tengxiang Long, Quan Pan, Kechang He, Zhendong Qin, Tiejun Zhou, Jiayan Jiang, Xinli Zhan, Chong Liu

“…The CBC data of 23,289 patients were collected, and six machine learning algorithms were applied to develop disease prediction models for AS and RA. …”
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Analysis of Factors Affecting the Success of Sustainable Development Projects with the Help of Machine Learning Tools by Zhi-Jun Chen, Tsung-Shun Hsieh, Seyed Mehdi Mousavi Davoudi

“…The study’s results reveal that employing machine learning tools and algorithms to create a link between project success factors and criteria and prediction can bring multiple advantages, including high accuracy, ease of use, and inference for decision-making. …”
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Unmasking social bots: how confident are we? by James Giroux, Gangani Ariyarathne, Alexander C. Nwala, Cristiano Fanelli

“…Despite the progress made in developing multiple sophisticated social bot detection algorithms and tools, bot detection remains a challenging, unsolved problem that is fraught with uncertainty due to the heterogeneity of bot behaviors, training data, and detection algorithms. …”
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Artificial intelligence-based framework for early detection of heart disease using enhanced multilayer perceptron by Monir Abdullah

“…The proposed framework demonstrates significant potential for the early detection and prediction of cardiac-related diseases. Experimental results indicate that the Enhanced Multilayer Perceptron (EMLP) model outperformed the other algorithms in terms of accuracy, precision, F1-score, and recall, underscoring its efficacy in cardiac disease detection.…”
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Machine Learning to Assess Relatedness: The Advantage of Using Firm-Level Data by Giambattista Albora, Andrea Zaccaria

“…We also discuss the effect of using parameter optimization and community detection algorithms to identify clusters of related companies and products, finding that a partition into a higher number of blocks decreases the computational time while maintaining a prediction performance well above the network-based benchmarks.…”
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Harmonization of multi-center diffusion tensor tractography in neonates with congenital heart disease: Optimizing post-processing and application of ComBat by Benjamin Meyers, Vincent K. Lee, Lauren Dennis, Julia Wallace, Vanessa Schmithorst, Jodie K. Votava-Smith, Vidya Rajagopalan, Elizabeth Herrup, Tracy Baust, Nhu N. Tran, Jill V. Hunter, Daniel J. Licht, J. William Gaynor, Dean B. Andropoulos, Ashok Panigrahy, Rafael Ceschin

“…We then use an empirical Bayes harmonization algorithm performed at the along-tract level, with the output being a lower dimensional space but still spatially informative. …”
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Transcriptome analysis of early pregnancy vitamin D status and spontaneous preterm birth. by Aishwarya P Yadama, Hooman Mirzakhani, Thomas F McElrath, Augusto A Litonjua, Scott T Weiss

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Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net by Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

“…This study proposes a U-Net model based on double dimensionality reduction and channel attention gating mechanism, namely the DCU-Net model for oncological image segmentation. …”
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High-intensity eccentric training ameliorates muscle wasting in colon 26 tumor-bearing mice. by Daisuke Tatebayashi, Koichi Himori, Ryotaro Yamada, Yuki Ashida, Mitsunori Miyazaki, Takashi Yamada

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Study and application of the energy unit cutting theory and punching-blasting synergy permeability enhancement technology in tectonic anomaly areas of coal mines by Jingyu JIANG, Xiaobin DONG, Mintao WEI, Chenghao WANG, Yuanping CHENG, Xiaoning SHI

“…This paper combined theoretical analysis, numerical simulation, and field experiments, this study investigated the principles of energy reduction and outburst prevention using combined punching and controlled energy-accumulating blasting measures. …”
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Automated Segmentation of Breast Cancer Focal Lesions on Ultrasound Images by Dmitry Pasynkov, Ivan Egoshin, Alexey Kolchev, Ivan Kliouchkin, Olga Pasynkova, Zahraa Saad, Anis Daou, Esam Mohamed Abuzenar

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Fisher Information of Mine Collapse Hole Detection Based on Sensor Nodes Connectivity by Shengbo Hu, Heng Shu, Xiaowei Song

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Renal parenchymal volume analysis: Clinical and research applications by Carlos Munoz‐Lopez, Kieran Lewis, Nityam Rathi, Eran Maina, Akira Kazama, Anne Wong, Angelica Bartholomew, Worapat Attawettayanon, Yunlin Ye, Zhiling Zhang, Wen Dong, Rebecca A. Campbell, Nicholas Heller, Erick Remer, Christopher Weight, Steven C. Campbell

“…This simple principle forms the basis for parenchymal volume analysis (PVA) with semiautomated software, which can be leveraged to predict SRF and new‐baseline glomerular filtration rate (NBGFR) following nephrectomy. …”
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Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches by Ben Jacobson-Bell, Steve Croft, Carmen Choza, Alex Andersson, Daniel Bautista, Vishal Gajjar, Matthew Lebofsky, David H. E. MacMahon, Caleb Painter, Andrew P. V. Siemion

“…Choza et al. turboSETI -only search of 97 nearby galaxies at the L band, demonstrating a false-positive hit reduction rate of 93.1% and a false-positive event reduction rate of 99.3%.…”
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Behavior Analysis With Integrated Visual-Motor Tracking for Developmental Coordination Disorder by Ruimin Li, Hong Fu, Yang Zheng, Shuiping Gou, Jane Jie Yu, Xiaowei Kong, Hongmin Wang

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Combined endodontic treatment: microbiological aspects by using scanning electronical microscopy by V. N. Tsarev, A. V. Mitronin, M. S. Podporin, D. A. Ostanina, E. V. Ippolitov, V. A. Mitronin

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LUOJIA Explorer: A Multi-robot Autonomous Exploration and Mapping System for Unknown Spaces by C. Chen, C. Chen, C. Chen, Y. Xu, Y. Xu, Y. Xu, L. Zhao, L. Zhao, L. Zhao, Y. Li, Y. Li, Y. Li, S. Sun, S. Sun, S. Sun, L. Li, Z. Wang, Z. Wang, Z. Wang, B. Yang, B. Yang, B. Yang

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An Exploration on Aperiodic Activities and Transient Oscillations During Semantic Processing: A Study With Wearable MEG by Xiaoyu Liang, Yuyu Ma, Ruonan Wang, Huanqi Wu, Changzeng Liu, Fuzhi Cao, Nan An, Min Xiang, Yueyang Zhai, Xiaolin Ning

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