Machine Learning Classification of 3D Intracellular Trafficking Using Custom and Imaris-Derived Motion Features by Oleg Kovtun

“…<b>Conclusions:</b> This work advances our ability to classify intracellular diffusion dynamics in three dimensions and provides a method that is well-suited for high-resolution analysis of intracellular receptor trafficking, intracellular transport of pathogenic agents, and drug delivery mechanisms.…”
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Advanced music classification using a combination of capsule neural network by upgraded ideal gas molecular movement algorithm by Peiyan Chen, Jichi Zhang, Arsam Mashhadi

“…Traditional methods have struggled to accurately capture the complex patterns that differentiate one genre from another. …”
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MODELING OPTICAL INTENSITY MODULATORS BASED ON MACH-ZEHNDER INTERFEROMETER BY SOFTWARE TOOL OF MICROWAVE CIRCUITS CALCULATION NI AWR DESIGN ENVIRONMENT by М. Е. Belkin, V. V. Golovin, Yu. N. Tyschuk, S. A. Kudzh, A. S. Sigov

“…At the design stage of radio-electronic means using microwave photonics units, the cosimulation capability in a single CAD tool for the elements of microwave and optical ranges is a vital issue, and it is important to retain the ability to complex nonlinear analysis of the circuits and systems under design. …”
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Know your enemy: Application of ATR-FTIR spectroscopy to invasive species control. by Claire Anne Holden, John Paul Bailey, Jane Elizabeth Taylor, Frank Martin, Paul Beckett, Martin McAinsh

“…Entering the absorbance values for key wavenumbers, previously highlighted by principal component analysis loadings, favours linkages in the resultant HCA dendrogram corresponding to expected genetic relationships, whilst environmental associations are encouraged using the spectral fingerprint region.The ability to distinguish between closely related interbreeding species and hybrids, based on their spectral signature, raises the possibility of using this approach for determining the origin of Japanese knotweed infestations in legal cases where the clonal nature of plants currently makes this difficult and for the targeted control of species and hybrids. …”
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On Hierarchical Bayesian Spatial Small Area Model for Binary Data under Spatial Misalignment by Kindie Fentahun Muchie, Anthony Kibira Wanjoya, Samuel Musili Mwalili

“…Model-based Bayesian analysis is popular for its ability to combine information from several sources as well as taking account uncertainties in the analysis and spatial prediction of spatial data. …”
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Impact of the alkaline volatile trimethylamine on the physiology of Streptomyces venezuelae: an integrated transcriptomic and metabolomics study by Yanping Zhu, Hanlei Zhang, Meng Liu, Xiuhua Pang

“…Using metabolomics analysis, we next showed that organic acids accumulated in MU-1, consistent with the acidification of the growth medium by MU-1. …”
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Distinguishing Healthy and Diseased Chestnuts via THz Spectroscopy and Unsupervised Learning by Martinez Anna, Di Sarno Valentina, Maddaloni Pasquale, Pagliarulo Vito, Paparo Domenico, Paturzo Melania, Rocco Alessandra, Ruocco Michelina

“…Compared to traditional analysis methods, our findings unveil the remarkable ability of these methods to differentiate between healthy, diseased and in an intermediate state chestnuts, even when concealed beneath the peel. …”
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Artificial neural networks versus LASSO regression for the prediction of long-term survival after surgery for invasive IPMN of the pancreas. by Linus Aronsson, Roland Andersson, Daniel Ansari

“…ANN work in a non-linear fashion, having a potential advantage in analysis of variables with complex correlations compared to regression models. …”
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Laser capture microdissection of bacterial cells targeted by fluorescence in situ hybridization by Kirstine Klitgaard, Lars Mølbak, Tim K. Jensen, Christian Fredrik Lindboe, Mette Boye

“…The advantage of this technique is the ability to combine the histological recognition of the specific bacteria within the tissue with molecular analysis of 16S rRNA gene or other genes of interest. …”
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Modelling the Impact of Human Population and Its Associated Pressure on Forest Biomass and Forest-Dependent Wildlife Population by Ibrahim M. Fanuel, Damian Kajunguri, Francis Moyo

“…Generally, despite the limitations of many assumptions in mathematical modelling, it is revealed that mathematical models demonstrate the ability to handle complex systems originating from interactions between humans and nature.…”
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General-purpose AI regulation and the European Union AI Act by Oskar J. Gstrein, Noman Haleem, Andrej Zwitter

“…While this may alleviate concerns that regulators are constantly lagging behind technological developments, complex questions remain about the enforceability, democratic legitimacy, and future-proofing of the AIA. …”
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Coincident resection at both ends of random, γ-induced double-strand breaks requires MRX (MRN), Sae2 (Ctp1), and Mre11-nuclease. by James W Westmoreland, Michael A Resnick

“…Structural features of MRX complex are consistent with coincident resection being due to an ability to interact with both DSB ends to directly coordinate resection. …”
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Infection with chikungunya virus confers heterotypic cross-neutralizing antibodies and memory B-cells against other arthritogenic alphaviruses predominantly through the B domain of... by John M Powers, Zoe L Lyski, Whitney C Weber, Michael Denton, Magdalene M Streblow, Adam T Mayo, Nicole N Haese, Chad D Nix, Rachel Rodríguez-Santiago, Luisa I Alvarado, Vanessa Rivera-Amill, William B Messer, Daniel N Streblow

“…This suggests that broadly neutralizing antibodies elicited following natural infection are largely complex restricted. In addition to serology, we also performed memory B-cell analysis, finding chikungunya-specific memory B-cells in all subjects in this study as remotely as 24 years post-infection. …”
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Extraction of the essential elements for urban systems modelling – A word-to-vector approach by Tatenda Hatidani Katsumbe, Arnesh Telukdarie, Megashnee Munsamy, Christian Tshukudu

“…Due to its ever-evolving nature, urbanisation continues to escalate in complexity, further exacerbating the urban sustainability challenges. …”
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PCA Weight Determination-Based InSAR Baseline Optimization Method: A Case Study of the HaiKou Phosphate Mining Area in Kunming, Yunnan Province, China by Weimeng Xu, Jingchun Zhou, Jinliang Wang, Huihui Mei, Xianjun Ou, Baixuan Li

“…The minimum value decreases to 0.248 rad, while the mean and standard deviation are reduced to 1.589 rad and 0.797 rad, respectively, effectively suppressing error fluctuations and enhancing the stability of the inversion; (2) through comparative analysis of the effective pixel ratio and standard deviation of deformation rates, as well as a comprehensive evaluation of the deformation rate probability density function (PDF) distribution, the PCA optimization method maintains a high effective pixel ratio while enhancing sensitivity to surface deformation changes, indicating its advantage in deformation monitoring in complex terrain areas; (3) the combined analysis of spatial autocorrelation (Moran’s I coefficient) and spatial correlation coefficients (Pearson and Spearman) verified the advantages of the PCA optimization method in maintaining spatial structure and result consistency, supporting its ability to achieve higher accuracy and stability in complex surface deformation monitoring. …”
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Algorithm for pixel-level concrete pavement crack segmentation based on an improved U-Net model by Zixuan Zhang, Yike He, Di Hu, Qiang Jin, Manxu Zhou, Zongwei Liu, Hongli Chen, He Wang, Xinchen Xiang

“…Among the seven comparison models, U-Net-FML has the strongest overall performance, highlighting its engineering value for precise detection and efficient analysis of cracks.…”
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An investigation into the effects of excipient particle size, blending techniques and processing parameters on the homogeneity and content uniformity of a blend containing low-dose... by Hamad Alyami, Eman Dahmash, James Bowen, Afzal R Mohammed

“…Powder blend homogeneity is a critical attribute in formulation development of low dose and potent active pharmaceutical ingredients (API) yet a complex process with multiple contributing factors. …”
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A vision-language model for predicting potential distribution land of soybean double cropping by Bei Gao, Yuefeng Liu, Yanli Li, Hongmei Li, Meirong Li, Wenli He

“…Traditional methods, relying on single-modal approaches such as remote sensing imagery or climate data in isolation, often fail to capture the complex interactions among environmental factors, leading to suboptimal predictions. …”
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The Components of the Personality Dimensions of the Faculty Members of Universities: A Meta-Synthesis by Jalal Hanaee, Reza Ghaffari, Nazila Afandideh, Parvin Sarbakhsh, Abdolreza Shaghaghi

“…Background. Understanding the complex interplay of faculty members’ personality traits is essential for optimizing teaching and learning environments. …”
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HarmonizR: blocking and singular feature data adjustment improve runtime efficiency and data preservation by Simon Schlumbohm, Julia E. Neumann, Philipp Neumann

“…Abstract Background Data adjustment is an essential tool for increasing statistical power during analysis, for example in case of complex multi-experiment data from (single-cell) RNA, proteomics and other omics data. …”
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