Optimal equivariant architectures from the symmetries of matrix-element likelihoods by Daniel Maître, Vishal S Ngairangbam, Michael Spannowsky

“…We present numerical studies demonstrating MEM-inspired architectures achieve new state-of-the-art performance in distinguishing di-Higgs decays to four bottom quarks from the QCD background, with enhanced sample and parameter efficiencies. This synergy between MEM and equivariant deep learning opens new directions for physics-informed architecture design, promising more powerful tools for probing physics beyond the Standard Model.…”
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Open-Phase Fault Tolerant Model Predictive Current Controller for Asymmetrical Dual Three-Phase Permanent Magnet Synchronous Machine Drive System by Adriano Navarro-Temoche, Josu Jugo, Edorta Ibarra, Inigo Kortabarria, Endika Robles

“…Multiple-Input Multiple-Output (MIMO) tools are used to tune the controller in the theoretical analysis, supported by the disk margin method. …”
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Ghost-Attention-YOLOv8: Enhancing Rice Leaf Disease Detection with Lightweight Feature Extraction and Advanced Attention Mechanisms by Thanh Dang Bui, Tra My Do Le

“…This research offers a practical solution to the challenges of computational efficiency and accuracy in agricultural monitoring, contributing to the development of robust AI tools for disease detection in crops.…”
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Visceral adiposity index as a predictor of metabolic dysfunction-associated steatotic liver disease: a cross-sectional study by Tuo Zhou, Xiang Ding, Linjie Chen, Qianxiong Huang, Linfang He

“…However, lipid accumulation product (LAP, AUC=0.834) and fatty liver index (FLI, AUC=0.833) achieved superior diagnostic performance compared to VAI (AUC=0.736), while maintaining clinical interpretability through simplicity and routine parameter availability. Conclusions While VAI demonstrated significant positive associations with MASLD risk, non-invasive scores like LAP and FLI emerged as superior diagnostic tools, balancing accuracy with clinical practicality.…”
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Revealing the Influence of Semantic Similarity on Survey Responses: A Synthetic Data Generation Approach by Esko Lehtonen, Tommi Buder-Grondahl, Sina Nordhoff

“…Synthetic response data are generated using the semantic similarity matrix and a noise parameter as input. Synthetic data can then be analysed using the same tools as human survey data, making the comparison straightforward. …”
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Dynamical and Computational Analysis of Fractional Korteweg–de Vries-Burgers and Sawada–Kotera Equations in Terms of Caputo Fractional Derivative by N. S. Alharthi

“…The influence of the non-integer parameter on the solutions behavior is specifically examined, highlighting its function in regulating wave propagation and diffusion. …”
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The role of nature-conformity presentation of data in the creation of an information system for the management of science and education by Sergey A. Saltykov, Elena Yu. Rusyaeva

“…In this context, the novelty of the research is to develop such an important parameter for the modern era in the creation of information systems as the open data presentation. …”
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Research Progress and Current Status of Metal Cutting Fluid Technology by LUO Xiuyu, XIAO Shaowen, ZHAN Wen, LI Yingpeng

“…In recent years， with the rapid development of industries such as new energy vehicles， aerospace， and high-end equipment manufacturing， along with the integration of technologies like artificial intelligence and big data， machine tools are advancing toward higher levels of high-end，intelligent，and green technologies.Cutting fluids are essential for achieving efficient，precise，and low-cost metal cutting processes.However， with the rapid growth of the machinery manufacturing industry， the conflict between the low performance of traditional cutting fluids and the high-quality manufacturing requirements of core components has become increasingly evident.On the other hand， the green application and safe disposal of cutting fluids have become major obstacles to the green development of the industry.Therefore， addressing the series of issues associated with traditional cutting fluids is a critical research topic faced by both the machinery manufacturing industry and the environmental protection field.This paper took the limitations of traditional cutting fluids as the starting point， and organized the current research on cutting fluids from three dimensions: environmental protection， economy， and functionality.The latest research progress on lubrication and cooling mechanisms， process effects， and parameter optimization was reviewed， and the advantages and disadvantages of different cutting fluids， along with the issues encountered during their development， were analyzed.Finally， from the perspective of industrial practical applications， the paper provided an outlook on metal cutting fluids and offered theoretical insights and research directions for the functionalization and greenization of cutting fluid technology， aiming to promote the domestic substitution of cutting fluid technologies in China.…”
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Beam steering by two vertically faced metasurfaces using polarization free unit cells with three operating modes by Mohammadreza Jahangiri, Hossein Soleimani, Mohammad Soleimani

“…Abstract Intelligent reflecting surfaces (IRS) are valuable tools for enhancing the intelligence of the propagation environment. …”
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A novel quantile regression for fractiles based on unit logistic exponential distribution by Hanan Haj Ahmad, Kariema A. Elnagar

“…The study reveals that the ULE distribution, paired with tools like randomized quantile and Cox-Snell residuals, provides robust assessments of goodness of fit, making it well-suited for real-world applications. …”
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Comparative analysis of the effectiveness of mechanical treatment of root canals by various Ni-Ti file systems by O. A. Antonova, V. A. Voinova, Yu. A. Mitronin

“…The centering ability with a curvature of the root canal of 20–25° had no significant differences between the tools used. With a curvature of the root canal of 40–45°, the value of this parameter decreased significantly in all groups of instruments, it was greatest in the groups 1 and 3.CONCLUSION. …”
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IMPROVING RESERVE USE EFFICIENCY OF THE ACTIVE PORTION OF MAIN PRODUCTION FUNDS IN CONSTRUCTION by Rustam T. Ismailov

“…In this case, it is necessary during the planning process to ensure the optimal use of available reserves using the criterion of maximising the profit received by the construction firm. The tools proposed in the work allow us to evaluate and effectively use the construction company's existing reserves of various types of active part of basic production assets and, on this basis, increase the efficiency of construction production.…”
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A novel chimpanzee adenovirus vector with low human seroprevalence: improved systems for vector derivation and comparative immunogenicity. by Matthew D J Dicks, Alexandra J Spencer, Nick J Edwards, Göran Wadell, Kalifa Bojang, Sarah C Gilbert, Adrian V S Hill, Matthew G Cottingham

“…Recombinant adenoviruses are among the most promising tools for vaccine antigen delivery. Recently, the development of new vectors has focused on serotypes to which the human population is less exposed in order to circumvent pre-existing anti vector immunity. …”
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Allometric Equations for Estimating Silk Oak (Grevillea robusta) Biomass in Agricultural Landscapes of Maragua Subcounty, Kenya by Omamo Augustine Owate, Mugo Joseph Mware, Mwangi James Kinyanjui

“…Grevillea robusta is widely interplanted with crops in Maragua subcounty, a practice that enhances biomass quantities in farmlands. However, quick tools for estimating biomass of such trees are lacking resulting in undervaluation of the farm product. …”
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Chaotic demonstration of the twin-core couplers with Kerr law non-linearity employing beta derivative by Adil Jhangeer, Maham Munawar, Mudassar Imran, Atef Abdelkader

“…The study highlights the influence of the fractional Beta derivative parameter on soliton dynamics, demonstrating its crucial role in shaping soliton amplitudes and wave structures. …”
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Enhanced Chaotic Pseudorandom Number Generation Using Multiple Bernoulli Maps with Field Programmable Gate Array Optimizations by Leonardo Palacios-Luengas, Reyna Carolina Medina-Ramírez, Ricardo Marcelín-Jiménez, Enrique Rodriguez-Colina, Francisco R. Castillo-Soria, Rubén Vázquez-Medina

“…In particular, we introduce a Bernoulli chaotic map that utilizes function transformations and constraints on its control parameter, covering complementary regions of the phase space. …”
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A Low-Cost Multimodal Testbed for Array-Based Electrophysiological Microelectrodes by Cat-Vu H. Bui, Neethu Maliakal, Hasan Ulusan, Andreas Hierlemann, Fernando Cardes

“…Electrode designs and materials have become an increasingly important performance driver for microelectrode arrays, which are among the essential tools for cellular electrophysiology. Ongoing works have continuously innovated over a diverse range of electrode shapes, sizes, and materials. …”
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Adaptation of the Questionnaire Parental Mediation Of Children's Media Activity by G. Nimrod, D. Lemish, N. Elias on a Russian Sample of Parents of Older Preschoolers by N.S. Denisenkova, P.I. Taruntaev, V.V. Fyodorov

“…However, there are not many tools available for studying this phenomenon. Such questionnaires are more common in English-language literature. …”
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Rapid and Non-Invasive Determination of Iodine Value by Magnetic Resonance Relaxometry in Commercial Edible Oils by Víctor Remiro, María Dolores Romero-de-Ávila, José Segura, María Isabel Cambero, María Encarnación Fernández-Valle, David Castejón

“…Together, these features make TD-NMR and MRI effective tools for the rapid and reliable analysis of the IV in edible oils.…”
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Screening of oral potentially malignant disorders and oral cancer using deep learning models by Karishma Madhusudan Desai, Pragya Singh, Mahima Smriti, Vivek Talwar, Manav Chaudhary, George Paul, Subhas Chandra Kolli, Parisa Sai Raghava, Golla Vamshi Krishna, C. V. Jawahar, P. K. Vinod, Varma Konala, Ramanathan Sethuraman

“…The present work aims to evaluate the effectiveness of AI screening tools in the diagnosis of OPMDs and Oral cancers via native or web-application (cloud) using smart phone devices. …”
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