pytom-match-pick: A tophat-transform constraint for automated classification in template matching by Marten L. Chaillet, Sander Roet, Remco C. Veltkamp, Friedrich Förster

“…To improve the detection performance we introduce pytom-match-pick, a GPU-accelerated, open-source command line interface for enhanced TM in cryo-ET. …”
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Direct Measurement of the Ciliary Sulcus Diameter Using Optical Coherence Tomography—Inter-Rater Variability by Timo Eppig, Manuel Seer, Antonio Martinez-Abad, Virgilio Galvis, Saskia Schütz, Alejandro Tello, Michiel C. Rombach, Jorge L. Alió

“…This leads to the conclusion that modern swept-source AS-OCT measurements of the ciliary sulcus dimensions are feasible, reproducible, and may be a clinically useful tool.…”
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Developing Computer Vision Models for Classifying Grain Shapes of Crushed Stone by Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, Alexandr A. Shilov, Irina Razveeva, Diana Elshaeva, Andrei Chernil’nik, Gleb Onore

“…In the construction industry, along with traditional approaches for the visual and instrumental assessment of building materials, methods based on intelligent algorithms are increasingly appearing; in particular, machine learning and neural network technologies. …”
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Ultrastructural changes in the midgut of Ixodes ricinus nymphs across feeding and digestion stages by Veronika Urbanová, Marie Vancová, František Kitzberger, Jiří Týč, Tomáš Bílý, Tereza Kozelková, Petr Kopáček, Daniel Sojka

“…Ticks rely on host blood as their primary source of nutrients and energy. In hard ticks (Ixodidae), a single blood meal per life stage supports survival, metamorphosis, and, in females, egg production. …”
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The relationship between epigenetic biomarkers and the risk of diabetes and cancer: a machine learning modeling approach by Shiqi Zhang, Shiqi Zhang, Jianan Jin, Benfeng Xu, Qi Zheng, Haibo Mou

“…This study aims to analyze the relationship between 30 epigenetic biomarkers and the risk of diabetes and cancer using machine learning modeling.MethodsThe data for this study were sourced from the NHANES database, which includes DNA methylation arrays and epigenetic biomarker datasets. …”
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Effects of Waste Glass Bottle Nanoparticles and High Volume of Waste Ceramic Tiles on Concrete Performance When Exposed to Elevated Temperatures: Experimental and Theoretical Evalu... by Zahraa Hussein Joudah, Nur Hafizah A. Khalid, Hassan Amer Algaifi, Akram M. Mhaya, Teng Xiong, Riyadh Alsultani, Ghasan Fahim Huseien

“…Tests such as residual compressive strength, weight loss, ultrasonic plus velocity, visual appearance, and microstructural analysis were conducted. …”
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Bibliometric analysis and description of research trends in the treatment of psoriasis with biologic agents in the past two decades (2004–2023) by Yingdong Wang, Junchen Li, Chenqi Guo, Guojing Yang, Haiyue Lin, Yu Zhang

“…This study aims to use bibliometrics to analyze the research status and development trends of biologics in psoriasis.Methods The bibliometric analysis of publications related to biologics in psoriasis from 2004 to 2023 was conducted using the Web of Science Core Collection (WoSCC) database as the search data source. To perform the bibliometric analysis and create visual knowledge graphs, CiteSpace, the Bibliometrix R package, and VOSviewers were utilized.Results The study included a total of 3800 articles. …”
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HyPyRameter: A Python Toolbox to Calculate Spectral Parameters from Hyperspectral Reflectance Data by Michael S. Phillips, Christian Tai Udovicic, Jeffrey E. Moersch, Udit Basu, Christopher W. Hamilton

“…Spectral parameters can be combined thematically into red, green, and blue (RGB) images, called browse products , to visualize compositional variation across a surface. …”
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Enzymatic protein hydrolysates of a residue from grape by-products industry for winemaking application: influence of the starting material and hydrolysis time by Ana Belén Mora-Garrido, M. Luisa Escudero-Gilete, Francisco J. Heredia, María Jesús Cejudo-Bastante

“…This residue could be exploited as a new source of non-animal protein to improve the chemical and color stabilization of red wines from warm regions. …”
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Integrating AI-Driven Wearable Metaverse Technologies into Ubiquitous Blended Learning: A Framework Based on Embodied Interaction and Multi-Agent Collaboration by Jiaqi Xu, Xuesong Zhai, Nian-Shing Chen, Usman Ghani, Andreja Istenic, Junyi Xin

“…Finally, we incorporated lightweight SLAM algorithms, augmented using visual perception techniques, to enable accurate spatial awareness and seamless navigation within the metaverse environment. …”
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Development and Implementation of a Machine Learning‐Based Flood Forecasting System in Kasese District, Uganda by Edward Miiro, Ismael Kato, Zuhra Nantege, Samuel Ssendi, Khasim Bassajjalaba

“…The data were then summarized in tables and analyzed using Visual Network Analysis (VNA) with Word Clouds and Gephi Open Source Software. …”
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Exploring pattern-specific components associated with hand gestures through different sEMG measures by Yangyang Yuan, Jionghui Liu, Chenyun Dai, Xiao Liu, Bo Hu, Jiahao Fan

“…Our hypothesis was validated on an open source database. Ultimately, the combination of time- and frequency-domain features achieved the best performance in gesture classification tasks, with a maximum accuracy of 84.3%. …”
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GNCnn: A QuPath extension for glomerulosclerosis and glomerulonephritis characterization based on deep learning by Israel Mateos-Aparicio-Ruiz, Anibal Pedraza, Jan Ulrich Becker, Nicola Altini, Jesus Salido, Gloria Bueno

“…This study proposes GNCnn, the first open-source QuPath extension specifically designed for nephropathology. …”
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Fatty Acid Enrichment of Corn Extrudates with Hemp Seeds by Marta Igual, David Gimeno, Purificación García-Segovia, Javier Martínez-Monzó, Juliana Navarro-Rocha

“…Hemp seeds (HSs) are a rich source of essential fatty acids, proteins, and antioxidant compounds, making them an attractive ingredient for the food industry. …”
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Time-variant Granger causality analysis for intuitive perception collision risk in driving scenario: an EEG study by Zhe Wang, Jialong Liang, Shang Shi, Peng Zhai, Lihua Zhang, Lihua Zhang

“…The current study examines the neural mechanisms behind intuitive driving by performing a time-varying Granger causality analysis on source-domain EEG data. We construct an innovative experimental setup that utilizes immersive driving simulation videos to elicit intuitive decision-making alongside with neural activities. …”
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A review of positioning technologies for personnel and equipment in underground mines by Hu Liu, Zhenghua Zhang, Jiaqi Dong, Jörg Benndorf, Xiaowei Jia, Xiaofei Wang, Xu Wu, Guoliang Chen

“…Finally, the intelligent fusion of heterogeneous multi-source sensors to improve positioning performance in complex underground environments is discussed. …”
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ARGContextProfiler: extracting and scoring the genomic contexts of antibiotic resistance genes using assembly graphs by Nazifa Ahmed Moumi, Shafayat Ahmed, Connor Brown, Amy Pruden, Liqing Zhang

“…Here we developed ARGContextProfiler, a pipeline designed to extract and visualize ARG genomic contexts. By leveraging the assembly graph for genomic neighborhood extraction and validating contexts through read mapping, ARGContextProfiler minimizes chimeric errors that are a common artifact of assembly outputs. …”
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Assessment of five global gridded precipitation estimates over a southern Mediterranean basin (Tensift, Morocco) by Kaoutar Oukaddour, Younes Fakir, Michel Le Page

“…ERA5 and TerraClimate, the longest data series, were used to visualize the precipitation trends in the basin.…”
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Unraveling Cyberbullying Dynamis: A Computational Framework Empowered by Artificial Intelligence by Liliana Ibeth Barbosa-Santillán, Bertha Patricia Guzman-Velazquez, Ma. Teresa Orozco-Aguilera, Leticia Flores-Pulido

“…By integrating artificial intelligence techniques with image analysis, our model detects visual patterns associated with violent threats, creating safer digital environments. …”
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A deep learning approach for white blood cells image generation and classification using SRGAN and VGG19 by Jannatul Ferdousi, Soyabul Islam Lincoln, Md. Khorshed Alom, Md. Foysal

“…In this paper, we propose a deep learning approach to classify WBCs using Super Resolution Generative Adversarial Network (SRGAN) and Visual Geometry Group 19 (VGG19). Firstly, microscopic images of WBCs are generated using the SRGAN to obtain more precise and high-resolution images, which are then classified with a pretrained VGG19 classifier. …”
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