Free Natural Frequency Analysis of an FG Composite Rectangular Plate Coupled with Fluid using Rayleigh–Ritz Method by Korosh Khorshidi, Ali Bakhsheshy

“…Wet dynamic transverse displacements of the plate are approximated by a set of admissible trial functions which are required to satisfy the clamped and simply supported geometric boundary conditions. …”
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A comparative artificial neural networks for Schwarzschild black hole (SBH) radius by Khalil Ur Rehman, Wasfi Shatanawi, Weam G. Alharbi

“…Two various training functions namely Levenberg-Marquardt training algorithm (LMTA) and Scaled Conjugate Gradient training algorithms (SCGTA) are used. …”
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Genetic Algorithm Optimization for Determining Fuzzy Measures from Fuzzy Data by Chen Li, Gong Zeng-tai, Duan Gang

“…Furthermore we define and characterize the Choquet integrals of interval-valued functions and fuzzy-number-valued functions based on σ-λ rules. …”
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Lithospheric Structure Above the Northern Appalachian Anomaly: Initial Results From the NEST Array by Kimberly Espinal, Maureen D. Long, Paul Karabinos, James R. Bourke

“…We investigate the structure of the lithosphere above the central portion of the NAA using data from the New England Seismic Transects (NEST) experiment. Ps receiver functions reveal two consistent interfaces beneath the dense northern line of NEST: the Moho (the base of the crust) and a deeper negative velocity gradient (NVG) feature located at depths between 60 and 110 km. …”
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The Nordic Seas overturning is modulated by northward-propagating thermohaline anomalies by Léon Chafik, Marius Årthun, Helene R. Langehaug, Johan Nilsson, Thomas Rossby

“…This explains why these thermohaline signals are a key source of climate predictability and provides fresh insights into the functioning of the Nordic Seas overturning circulation from observations.…”
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Disease modification and symptom relief in osteoarthritis using a mutated GCP‐2/CXCL6 chemokine by Sara Caxaria, Nikolaos Kouvatsos, Suzanne E Eldridge, Mario Alvarez‐Fallas, Anne‐Sophie Thorup, Daniela Cici, Aida Barawi, Ammaarah Arshed, Danielle Strachan, Giulia Carletti, Xinying Huang, Sabah Bharde, Melody Deniz, Jacob Wilson, Bethan L Thomas, Costantino Pitzalis, Francesco Paolo Cantatore, Manasi Sayilekshmy, Shafaq Sikandar, Frank P Luyten, Thomas Pap, Joanna C Sherwood, Anthony J Day, Francesco Dell'Accio

“…GCP‐2 expression was retained in adult articular cartilage. GCP‐2 loss‐of‐function inhibited extracellular matrix production. …”
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Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-Dimensional Tokens by Vittorio Erba, Emanuele Troiani, Luca Biggio, Antoine Maillard, Lenka Zdeborová

“…Statistical physics provides powerful tools to study the functioning of learning with neural networks and has played a recognized role in the development of modern machine learning. …”
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Elastic and nonlinear crack tip solutions comparison with respect to failure probability by Valery Shlyannikov, Andrey Tumanov, Nataliya Boychenko

“…Proposed the normalized generalized parameter accounting for brittle or ductile fracture can be used as a suitable failure variable that is confirmed by comparison of the obtained failure cumulative distribution functions based on the three studied GPs. …”
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Elastic and nonlinear crack tip solutions comparison with respect to failure probability by Valery Shlyannikov, Andrey Tumanov, Nataliya Boychenko

“…Proposed the normalized generalized parameter accounting for brittle or ductile fracture can be used as a suitable failure variable that is confirmed by comparison of the obtained failure cumulative distribution functions based on the three studied GPs. …”
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The Sensitivity of Characteristics of Large Scale Baroclinic Unstable Waves in Southern Hemisphere to the Underlying Climate by Sergei Soldatenko, Chris Tingwell

“…Two types of waves are considered: synoptic scale waves and planetary scale (ultralong) waves based on an Eady-type model and model with vertically averaged primitive equations. Sensitivity functions are obtained that estimate the impact of variations in σ0 and Λ on the growth rate and other characteristics of unstable waves and demonstrate that waves belonging to the short-wave part of the spectrum of unstable waves are more sensitive to changes in the static stability parameter than waves belonging to the long-wave part of the spectrum. …”
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Research on a virtual-real fusion experimental system for the cutting part of a boom-type roadheader. by Jianzhuo Zhang, Ce Chen, Xiaoyu Ding, Tao Wang, Chuanxu Wan, Wenliang Li

“…This system incorporates functions including digital modeling of coal-rock, simulation of mechanical properties of the cutting unit, and integration of virtual and physical experiments. …”
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Alpine peatland degradation enhances soil nitrogen losses and alters plant nitrogen uptake strategies: evidence from nitrogen isotopes by Xiaodong Zhang, Lijuan Cui, Xin Jia, Liang Yan, Yong Li, Zhongqing Yan, Kerou Zhang, Ao Yang, Yuechuan Niu, Enze Kang, Xiaoming Kang

“…Abstract Background Nitrogen plays a critical role in sustaining ecosystem functions in peatlands; however, the degradation of approximately 12% of global peatlands substantially alters nitrogen cycling. …”
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Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification by Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam, Mohammed Arfat Raihan Chowdhury, Md. Shamim Anower, Md. Masud Rana, Md. Shafiul Alam, Mahmudul Hasan, Md. Shohanur Islam Sobuj, Md. Babul Islam, Veerpratap Meena, Francesco Benedetto

“…Electric vehicles (EVs) are commonly recognized as environmentally friendly modes of transportation. They function by converting electrical energy into mechanical energy using different types of motors, which aligns with the sustainable principles embraced by smart cities. …”
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Algorithms for the visual analysis of an environment by an autonomous mobile robot for area cleanup by M. E. Beliakov, S. A. K. Diane

“…In this connection, the creation of a robotic complex capable of performing autonomous litter collection functions becomes an urgent need. One of the key components of such a complex comprises a vision system for detecting and interacting with target objects. …”
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Cardiac Phase-Resolved T₂^* Magnetic Resonance Imaging Reveals Differences Between Normal Hearts and a Humanized Mouse Model of Hypertrophic Cardiomyopathy by Oumaima Laghzali, Shahriar Shalikar, Siqin Liu, Sandra Lehmann, Joao dos Santos Periquito, Andreas Pohlmann, Sonia Waiczies, Lucie Carrier, Hsin-Jung Yang, Thoralf Niendorf, Min-Chi Ku

“…<b>Methods</b>: A cardiac-specific <i>Mybpc3</i> genetic mouse model, closely mirroring human HCM, was used with 12 young mice (6–11 weeks old), including both male and female wild-type (WT) and <i>Mybpc3</i>-KI (HCM) groups. The cardiac function was assessed using self-gated multi-slice 2D CINE imaging. …”
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A double-layer model for improving the estimation of wheat canopy nitrogen content from unmanned aerial vehicle multispectral imagery by Zhen-qi LIAO, Yu-long DAI, Han WANG, Quirine M. KETTERINGS, Jun-sheng LU, Fu-cang ZHANG, Zhi-jun LI, Jun-liang FAN

“…., multiple stepwise regression (MSR), support vector regression (SVR), gradient boosting decision tree (GBDT), Gaussian process regression (GPR), back propagation neural network (BPNN) and radial basis function neural network (RBFNN), were compared for the retrieval of winter wheat LAI, CPP and CNC values, and a double-layer model was proposed for estimating CNC based on LAI and CPP. …”
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FRET Visualization of High Mechanosensation of von Willebrand Factor to Hydrodynamic Force by Mingxing Ouyang, Yao Gao, Binqian Zhou, Jia Guo, Lei Lei, Yingxiao Wang, Linhong Deng

“…This study provides new insights into the vWF’s mechanosensitive feature for its physiological functions and implicated disorders.…”
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AI-driven pharmacovigilance: Enhancing adverse drug reaction detection with deep learning and NLP by Dr. Bharti Khemani, Dr. Sachin Malave, Samyukta Shinde, Mandvi Shukla, Razzaq Shikalgar, Harshita Talwar

“…BERT and GPT, were also employed to provide the functionality of textual interactions over medical data. • Performance metrics such as accuracy, precision, recall, and F1-score were systematically applied to evaluate each model’s performance. …”
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MRI-derived quantification of hepatic vessel-to-volume ratios in chronic liver disease using a deep learning approach by Alexander Herold, Daniel Sobotka, Lucian Beer, Nina Bastati, Sarah Poetter-Lang, Michael Weber, Thomas Reiberger, Mattias Mandorfer, Georg Semmler, Benedikt Simbrunner, Barbara D. Wichtmann, Sami A. Ba-Ssalamah, Michael Trauner, Ahmed Ba-Ssalamah, Georg Langs

“…Abstract Background We aimed to quantify hepatic vessel volumes across chronic liver disease stages and healthy controls using deep learning-based magnetic resonance imaging (MRI) analysis, and assess correlations with biomarkers for liver (dys)function and fibrosis/portal hypertension. Methods We assessed retrospectively healthy controls, non-advanced and advanced chronic liver disease (ACLD) patients using a 3D U-Net model for hepatic vessel segmentation on portal venous phase gadoxetic acid-enhanced 3-T MRI. …”
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MHD analysis of couple stress nanofluid through a tapered non-uniform channel with porous media and slip-convective boundary effects by P. Deepalakshmi, G. Shankar, E.P. Siva, D. Tripathi, O. Anwar Bég

“…Analytical solutions are derived for axial velocity, temperature profile, nanoparticle concentration, stream function, and pressure gradient, providing a comprehensive understanding of the flow dynamics. …”
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