The Mnn2 mannosyltransferase family modulates mannoprotein fibril length, immune recognition and virulence of Candida albicans. by Rebecca A Hall, Steven Bates, Megan D Lenardon, Donna M Maccallum, Jeanette Wagener, Douglas W Lowman, Michael D Kruppa, David L Williams, Frank C Odds, Alistair J P Brown, Neil A R Gow

“…The fungal cell wall is the first point of interaction between an invading fungal pathogen and the host immune system. The outer layer of the cell wall is comprised of GPI anchored proteins, which are post-translationally modified by both N- and O-linked glycans. …”
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Early glaucoma risk factors in myopia by E. N. Eskina, A. V. Zykova

“…Significant differences were identified between study (axial myopia and OHT) and control group (axial myopia and normal IOP) by the following parameters: 1) IOP measured by pneumotonometry (20.5±3.1 vs 13.3±0.8 mm Hg, respectively); 2) corneal-compensated IOP estimated by Ehlers based on 5‑g Maklakov applanation tonometry(19.1±2.8 vs 15.1±1.0 mm Hg, respectively); 3) ganglion cell complex and inner plexiform layer thickness in the superior macular region (73.4±7.0 vs 81.0±3.2 μm, respectively); 4) retinal nerve fiber layer thickness in the inferior peripapillary area (99.6±14.9 vs 121.9±9.4 μm, respectively); 5) choroidea thickness in foveal center (258.1±48.1 vs 315.8±29.5 μm, respectively) and 3 mm nasally to foveal center (130.0±32.1 vs 161.0±29.8 μm, respectively).Conclusion. …”
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Integrated approach of extreme learning machines and locally weighted linear regression for improved discharge coefficient prediction by Mohammed Majeed Hameed, Mohamed Khalid Alomar, Siti Fatin Mohd Razali, Ali Salem

“…The current study aims to enhance the prediction accuracy of Cd for rectangular sharp-crested side weirs by addressing the limitation of the output layer of the Extreme learning machine (ELM). The output layer of ELM depends mainly on the linear system which limits its generalization capabilities. …”
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Impact of magnetic field and radiation on Casson fluid flow and heat transfer over a 3D exponentially expanding sheet using the Bernoulli wavelet method by Kirankumar D. L., Suma Nagendrappa Nagappanavar, K. R. Raghunatha

“…The transformed equations are then solved numerically using the Bernoulli wavelet method, offering an efficient and accurate approach to addressing complex boundary layer problems. The validity of the results is confirmed through comparison with existing literature, demonstrating strong agreement. …”
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ARES: A Meanline Code for Outboard Dynamic-Inlet Waterjet Axial-Flow Pumps Design by Filippo Avanzi, Francesco De Vanna, Andrea Magrini, Ernesto Benini

“…Spanwise velocity and pressure distributions exhibit good alignment with experiments near midspan, especially at the rotor exit, while end-wall boundary layer complex dynamics are hardly recovered by the present implementation.…”
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FM-Net: Frequency-Aware Masked-Attention Network for Infrared Small Target Detection by Yongxian Liu, Zaiping Lin, Boyang Li, Ting Liu, Wei An

“…Infrared small target detection (IRSTD) aims to locate and separate targets from complex backgrounds. The challenges in IRSTD primarily come from extremely sparse target features and strong background clutter interference. …”
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Bridging Biomimetics and Additive Manufacturing for Dynamic Design Solutions by Silvia Titotto

“…AM has revolutionized the fabrication process by constructing objects layer by layer through the precise deposition of materials. …”
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Spatiotemporal behavior of the far wake of a wind turbine model subjected to harmonic motions: phase averaging applied to stereo particle image velocimetry measurements by A. Hubert, B. Conan, S. Aubrun

“…<p>The complex dynamics introduced by floating platforms present new challenges in the study of wind turbine wakes, and numerous questions remain unresolved due to the early stage of this technology and the limited operational experience. …”
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Increasing 3D Printing Accuracy Through Convolutional Neural Network-Based Compensation for Geometric Deviations by Moustapha Jadayel, Farbod Khameneifar

“…Experimental validation using a complex reference geometry shows that the proposed compensation method achieves an 88.5% reduction in mean absolute geometric deviation compared to the uncompensated print. …”
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YOLO-AFR: An Improved YOLOv12-Based Model for Accurate and Real-Time Dangerous Driving Behavior Detection by Tianchen Ge, Bo Ning, Yiwu Xie

“…These three modules combine to form a Calibration-Refinement Loop, which progressively reduces redundancy and enhances discriminative features layer by layer. We evaluate YOLO-AFR on two public driver behavior datasets, YawDD-E and SfdDD. …”
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Out-Of-Position Bead Geometry Prediction in Wire Arc Additive Manufacturing (WAAM) Using Fuzzy Logic-Based System by Abdulrazaq Mustafa Mohammed, AL-Khafaji Mohanned M. H., Salahaddin Abdulkader Kadauw, Krinke Stefan, Zeidler Henning

“…More flexibility is achieved when the welding gun is moved as a tool on curvilinear paths to build up complex parts without necessary part movement. This link to the component surface means to leave the ideal vertical position. …”
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Hierarchically Enhanced Plasmonic Absorber with Abundant Nanomirrors for Effective Photoelectrochemical Performance by Jiaqi Wang, Tongzhou Xu, Weipeng Wang

“…The TiO2 middle layer enables the intrinsic generation of charge carriers upon light exposure, while the established heterojunctions promote their efficient separation. …”
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STUDYING THE INFLUENCE OF MICROWAVE RADIATION ON THE THERMOPHYSICAL CHARACTERISTICS OF REVERSED POLYMER COMPOSITION MATERIALS REINFORCED BY CARBON FIBERS by N. V. Bekrenev, I. V. Zlobina

“…The research was supported by RFBR grant No. 17-03-00720 «Methodology of optimising microconstruction of composite materials for complex shape objects with increased dynamic strength, formed layer-by-layer by electrotechnological methods».…”
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A high resolution genome-wide scan for significant selective sweeps: an application to pooled sequence data in laying chickens. by Saber Qanbari, Tim M Strom, Georg Haberer, Steffen Weigend, Almas A Gheyas, Frances Turner, David W Burt, Rudolf Preisinger, Daniel Gianola, Henner Simianer

“…The observation of multiple signals in a highly selected layer line of chicken is consistent with the hypothesis that egg production is a complex trait controlled by many genes.…”
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Wetting behaviour of nickel-based brazing alloy BNi-5a on conventionally cast and laser-melted austenitic stainless steel 316L by W. Tillmann, J. Bültena, L. Wojarski, J. Zajaczkowski, K. Donnerbauer, F. Walther

“…Laser beam melting is an additive manufacturing process that enables the production of highly complex components. In this process, metal powder is locally melted using a laser beam and built up layer by layer to form a physical component. …”
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A Cloud Vertical Structure Optimization Algorithm Combining FY-4A and DSCOVR Satellite Data by Zhuowen Zheng, Jie Yang, Taotao Lv, Yulu Yi, Zhiyong Lin, Jiaxin Dong, Siwei Li

“…The CVE MAEs for single- and multi-layer clouds are ~2.5 km. Some bias remains in complex cases, e.g., multi-layer thin clouds at low altitudes, and error tracing analysis suggests this may be related to cloud layer number misclassification. …”
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A multi-omics database of buffaloes from Yangtze valley reveals diversity of water buffalo (Bubalus bubalis) by Yangyang Shen, Zhenjiang An, Shuwen Xia, Qiang Ding, Kunlin Chen, Yilong Miao, Tao Wang, Jifeng Zhong, Jianbin Li, Xiao Wang, Huili Wang

“…Our results revealed the apparent diversity of multi-layer omics profiles between two buffalo species. …”
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Predictive modeling of flexible EHD pumps using Kolmogorov–Arnold Networks by Yanhong Peng, Yuxin Wang, Fangchao Hu, Miao He, Zebing Mao, Xia Huang, Jun Ding

“…Inspired by the Kolmogorov–Arnold representation theorem, KAN replaces fixed activation functions with learnable spline-based activation functions, enabling it to approximate complex nonlinear functions more effectively than traditional models like Multi-Layer Perceptron and Random Forest. …”
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Optimization method for remaining life prediction of conventional circuit breaker based on deep learning by SUN Shuguang, WEI Shuo, WANG Jingqin, SHAO Xu, SUN Liang, GAO Hui

“…In the context of smart grid, aiming at the condition monitoring of conventional circuit breakers with complex mechanical actions, an optimization method for remaining life prediction of conventional circuit breaker based on deep learning is proposed. …”
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Meltwater from the Greenland ice sheet and its water isotope distribution in Dickson Fjord, East Greenland by F. Rooijakkers, E. Poulsen, E. Ruiz-Castillo, S. Rysgaard

“…Within this layer, we observed an increase in temperature close to the glacier terminus. …”
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