A predictive analytics framework for opportunity sensing in stock market by Shruti Mittal, C.K. Nagpal

“…Thus research papers in this area suffer from multiple limitations: Very short prediction period from one day to one week, consideration of few stocks only instead of whole of stock market spectrum, exploration of more suitable machine learning algorithms. …”
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Estimating Parameters for Traffic Flow Using Navigation Data on Vehicles by Marija Burinskienė, Denis Kapski, Valery Kasyanik, Anton Pashkevich, Aleksandra Volynets, Oleg Kaptsevich

“…The efficiency of the suggested algorithms and mathematical models for estimating road traffic flow parameters and the system as a whole was confirmed performing tests using a set of tracks on the main highways of Belarus.…”
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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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Identifying Galactic Substructures in 5D Space Using All-sky RR Lyrae Stars in Gaia DR3 by Shenglan Sun, Fei Wang, Huawei Zhang, Xiang-Xiang Xue, Yang Huang, Ruizhi Zhang, Hans-Walter Rix, Xinyi Li, Gaochao Liu, Lan Zhang, Chengqun Yang, Shuo Zhang

“…Assuming a Gaussian prior distribution of radial velocity, we calculate the orbital distribution characterized by the integrals of motion for each RRL, based on its 3D positions, proper motions, and corresponding errors, and then apply the friends-of-friends algorithm to identify groups moving along similar orbits. …”
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RAD-Seq-derived SSR markers: a new paradigm for genetic analysis and construction of genetically improved production populations in Pinus koraiensis by Pingyu Yan, Wanying Zhang, Junfei Hao, Xiaotian Miao, Jun Wu, Zixiong Xie, Zhixin Li, Lei Zhang, Hanguo Zhang

“…The objective of this initiative is to facilitate the efficient management of genetic resources within Pinus koraiensis, enable precise pedigree identification and establish a foundational framework for subsequent whole-genome sequencing and assembly strategies. …”
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Applying machine learning to assist in the morphometric assessment of brain arteriolosclerosis through automation by Jerry J. Lou, Peter Chang, Kiana D. Nava, Chanon Chantaduly, Hsin-Pei Wang, William H. Yong, Viharkumar Patel, Ajinkya J. Chaudhari, La Rissa Vasquez, Edwin Monuki, Elizabeth Head, Harry V. Vinters, Shino Magaki, Danielle J. Harvey, Chen-Nee Chuah, Charles S. DeCarli, Christopher K. Williams, Michael Keiser, Brittany N. Dugger

“…To address this gap, we present a prototype end-to-end machine learning (ML)-based algorithm, Arteriolosclerosis Segmentation (ArtSeg), followed by Vascular Morphometry (VasMorph) – to assist persons in the morphometric analysis of arteriolosclerotic vessels on whole slide images (WSIs). …”
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Resistome of carbapenem- and colistin-resistant Klebsiella pneumoniae clinical isolates. by Sara Lomonaco, Matthew A Crawford, Christine Lascols, Ruth E Timme, Kevin Anderson, David R Hodge, Debra J Fisher, Segaran P Pillai, Stephen A Morse, Erum Khan, Molly A Hughes, Marc W Allard, Shashi K Sharma

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The influence of adolescent nicotine exposure on ethanol intake and brain gene expression. by Constanza P Silva, William J Horton, Michael J Caruso, Aswathy Sebastian, Laura C Klein, Istvan Albert, Helen M Kamens

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Anisakis Sensitization in the Croatian fish processing workers: Behavioral instead of occupational risk factors? by Ana Jerončić, Diana Nonković, Anamarija Vrbatović, Jerko Hrabar, Ivana Bušelić, Victoria Martínez-Sernández, Santiago A Lojo Rocamonde, Florencio M Ubeira, Sonja Jaman, Esma Čečuk Jeličić, Marco Amati, Maria Angeles Gomez Morales, Boris Lukšić, Ivona Mladineo

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Molecular Clouds in the Outer Milky Way Disk: Sample, Integrated Properties, and Radial Trends with Galactocentric Radius by Yan Sun, Ji Yang, Qing-Zeng Yan, Shaobo Zhang, Yang Su, Xuepeng Chen, Xin Zhou, Yuehui Ma, Lixia Yuan

“…The catalog was produced using a DBSCAN algorithm applied to the Milky Way Imaging Scroll Painting project data. …”
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Genome assembly and characterization of a complex zfBED-NLR gene-containing disease resistance locus in Carolina Gold Select rice with Nanopore sequencing. by Andrew C Read, Matthew J Moscou, Aleksey V Zimin, Geo Pertea, Rachel S Meyer, Michael D Purugganan, Jan E Leach, Lindsay R Triplett, Steven L Salzberg, Adam J Bogdanove

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Defects in intracellular trafficking of fungal cell wall synthases lead to aberrant host immune recognition. by Shannon K Esher, Kyla S Ost, Maria A Kohlbrenner, Kaila M Pianalto, Calla L Telzrow, Althea Campuzano, Connie B Nichols, Carol Munro, Floyd L Wormley, J Andrew Alspaugh

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Development of a deep learning system for predicting biochemical recurrence in prostate cancer by Lu Cao, Ruimin He, Ao Zhang, Lingmei Li, Wenfeng Cao, Ning Liu, Peisen Zhang

“…The multiple instance learning method was used to extract whole slide image-level features. Finally, patient-level artificial intelligence models were developed by integrating deep learning -generated pathology features with several machine learning algorithms. …”
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Detecting and Mitigating Wind Turbine Clutter for Airspace Radar Systems by Wen-Qin Wang

“…To resolve this problem, efficient techniques or algorithms should be developed to mitigate the effects of wind farms on radars. …”
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Discovering Approximate and Significant High-Utility Patterns from Transactional Datasets by Huijun Tang, Le Wang, Yangguang Liu, Jiangbo Qian

“…Mining high-utility pattern (HUP) on transactional datasets has been widely discussed, and various algorithms have been introduced to settle this problem. …”
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Narratives, Frontier Technologies, and the Law (Part II): Towards a Feminist Turn in Law and Technology by Syamsuriatina binti Ishak, Henrique Marcos

“…Through analyses of artificial intelligence, genome editing, algorithmic moderation, and user-generated content in video games, the authors show that law is not merely reactive to technological innovation but also actively constructs and contests the narratives that define what is possible, permissible, and just. …”
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PRACTICE GUIDELINES FOR THE USE OF STANDARDS FOR DESIGN OF INTERACTIVE SYSTEMS IN TERMAL IMAGING PROCESSING TASKS by A. Y. Tsunikov

“…Practical recommendations are done to improve the reliability of the interpretation of the information provider, and thus improve the reliability of the situation prediction efficiency and APC information system as a whole.…”
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Language task-based fMRI analysis using machine learning and deep learning by Elaine Kuan, Elaine Kuan, Elaine Kuan, Viktor Vegh, Viktor Vegh, Viktor Vegh, John Phamnguyen, John Phamnguyen, John Phamnguyen, Kieran O’Brien, Amanda Hammond, David Reutens, David Reutens, David Reutens, David Reutens

“…The geneal machine learning method achieved a mean whole-brain Area Under the Receiver Operating Characteristic Curve (AUC) of 0.97±0.03, mean Dice coefficient of 0.6±0.34 and mean Euclidean distance of 2.7±2.4 mm between activation peaks across the evaluated regions of interest. …”
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Computer Modelling «Smart Building» by O. Yu. Maryasin, A. S. Kolodkina, A. A. Ogarkov

“…In order to perform study of different functioning modes of engineering subsystems and the whole system, mathematical and computer modeling needs to be used. …”
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Soft Schemes for Earthquake-Geotechnical Dilemmas by Silvia García

“…Considering the strengths and weaknesses of the algorithms, in this work a criterion to leverage the best features to develop efficient hybrid models is presented. …”
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