Influence of the Physico-chemical Characteristics of the Hybrid Matrix on the Catalytic Properties of Sol-gel Entrapped Pseudomonas fluorescens Lipase by Cristina Paul, Paula Borza, Anca Marcu, Gerlinde Rusu, Mihaela Bîrdeanu, Simona Marc Zarcula, Francisc Péter

“…The obtained enzymatic preparates were efficient biocatalysts in the acylation reaction of racemic secondary alcohols. Several methods were employed for the characterization of the resulting bioactive materials, in order to correlate the catalytic performance with the morphological and physico-chemical properties of the matrix: Fourier transform infrared spectroscopy (FTIR), BET-analysis of specific surface and porosity, laser scanning confocal microscopy (LSCM), scanning electron microscopy (SEM), atomic force microscopy (AFM) and thermogravimetric analysis (TGA). …”
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Switched Systems Reduction Framework Based on Convex Combination of Generalized Gramians by Hamid Reza Shaker, Rafael Wisniewski

“…In order to avoid numerical instability and also to increase the numerical efficiency, convex generalized gramian-based Petrov-Galerkin projection is constructed instead of the similarity transform approach for reduction. It is proven that the method preserves the stability of the original switched system at least for stabilizing switching signal and it is also less conservative than the method which is based on the common generalized gramian. …”
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The Potential for Analyzing the Correlation Between the Compressive Stress Resistance of Red Clover Seeds and the Environmental Conditions during Seed Maturation Using FT-IR Spect... by Gergely Zoltán Macher, Marcell Lócsi, Anett Bedo, Eszter Kókai, Dalma Bódizs, Szilveszter Gergely

“…Through this research, new methods for seed testing are intended to be informed by differential and correlation results across technical parameters and different measurement settings. …”
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Integrated MEREC-CoCoSo approach using score function ofNeutrosophic for location selection of special economic zone by Debashis Ghosh, Bahnishikha Roy Muhuri, G.S. Mahapatra, B.S. Mahapatra

“…The single-valued neutrosophic sets transform the qualitative evaluation of the criteria for SEZ alternatives into a quantitative evaluation. …”
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Screen chaotic motion by Shannon entropy in curved spacetimes by Wenfu Cao, Yang Huang, Hongsheng Zhang

“…We compare our approach with the previous methods including Poincaré section, Lyapunov exponent, fast Lyapunov indicator, recurrence plots (Rps), and fast Fourier transform (FFT) for orbits around black holes immersed in magnetic fields, and show that they agree with each other quite well. …”
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Analytical Approximate Solutions of Caputo Fractional KdV-Burgers Equations Using Laplace Residual Power Series Technique by Aliaa Burqan, Mona Khandaqji, Zeyad Al-Zhour, Ahmad El-Ajou, Tasneem Alrahamneh

“…The main aim of this work is to present the analytical approximate series for the nonlinear Caputo fractional KdV-Burgers equation by applying the Laplace residual power series method. The main tools of this method are the Laplace transform, Laurent series, and residual function. …”
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New crosslinked hydrogels derivatives of 2-hydroxyethyl methacrylate: Synthesis, modifications and properties by B. Podkoscielna, A. Bartnicki, B. Gawdzik

“…The new hydrogels were obtained by two alternative methods in a suspension copolymerisation procedure. …”
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Wavelet-Driven Multi-Band Feature Fusion for RGB-T Salient Object Detection by Jianxun Zhao, Xin Wen, Yu He, Xiaowei Yang, Kechen Song

“…To address this issue, we propose a method for RGB-T salient object detection that enhances performance through wavelet transform and channel-wise attention fusion. …”
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A Hybrid Approach for Color Face Recognition Based on Image Quality Using Multiple Color Spaces by Mahdi Hosseinzadeh, Mohammad Mehdi Pazouki, Önsen Toygar

“…Based on the categorized face images, three feature extraction and classification methods as Scale Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), and Convolutional Neural Networks (CNN) are applied to face images using RGB, YCbCr, and HSV color spaces to extract the features and then classify the images for face recognition. …”
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Advanced Color Edge Detection Using Clifford Algebra in Satellite Images by Uzair Aslam Bhatti, Zhou Ming-Quan, Qingsong Huo, Sajid Ali, Aamir Hussain, Yan Yuhuan, Zhaoyuan Yu, Linwang Yuan, Saqib Ali Nawaz

“…Quaternion-based Fourier transform is used to process red, green and blue (RGB) images separately in the vector field. …”
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Multi-Criteria Fuzzy Portfolio Optimization Considering Varying Levels of Investor Expectations by Ali Namaki, Saeid Shirkavand, Amirsina Jirofti

“…Subsequently, employing quantitative methods and the foundations of fuzzy logic, we transform the problem into a single-objective linear problem, making it amenable to solution using conventional optimization methods and software. …”
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Synthetic Aperture Interferometric Passive Radiometer Imaging to Locate Electromagnetic Leakage From Spacecraft Surface by Yuting Zhang, Jie Zhang, Yuhan Huang, Nan Dong

“…The spacecraft surface electromagnetic leakage location image is obtained through the inverse Fourier transform. A sparse sampling method based on ant colony optimization was proposed to improve testing efficiency. …”
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Epstein-Barr virus in Adygeans and Slavs in Russia: virus types, <i>LMP1</i> variants, and malignant tumors by K. V. Smirnova, N. B. Senyuta, A. K. Lubenskaya, I. V. Botezatu, T. E. Dushenkina, A. V. Lichtenstein, V. E. Gurtsevich

“…It is known that the structural features of the Epstein-Barr virus (EBV) affect the manifestation of its biological properties. Based on differences in the sequences of the EBNA2, EBNA3A, -B, and -C genes, two types of the virus, EBV-1 and EBV-2, have been identified that have different ability to transform B cells in vitro and possibly playing certain role in the development of EBV-associated neoplasms.Aim. …”
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Bias and standard deviation mean and maximum Doppler frequency estimators by K. MARASEK, A. NOWICKI

“…The mean frequency was computed as the first spectral moment of the spectrum with and without the noise subtraction. Different definitions of f_max were used: frequency at which spectral power decreases down to 0.1 of its maximum value, modified threshold crossing method [23] and novel geometrical method. …”
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Bridging neuroscience and AI: a survey on large language models for neurological signal interpretation by Sreejith Chandrasekharan, Jisu Elsa Jacob

“…This paper delves into several use cases of LLM in EEG signal analysis and attempts to provide a comprehensive understanding of techniques in the domain that can be applied to different disease diagnostics. The study also strives to highlight challenges in the deployment of LLM models, ethical considerations, and bottlenecks in optimizing models due to requirements of specialized methods such as Low-Rank Adapation. …”
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Interdependent-path Recurrent Embedding for Knowledge Graph-aware Recommendation by Xiao Sha, Jianwen Wang, Xiaoran Xu, Jianchuan Ding

“…A dedicated attentive recurrent network then encodes these paths by learning relation-aware representations and adaptively weighting different predecessors’ influence. Comprehensive experiments on three real-world datasets demonstrate IPRE’s superiority, achieving average improvements of 8.79% in Hit ratio and 9.40% in NDCG over state-of-the-art methods. …”
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Kink dynamics in the φ4 model with two extended impurities by Fakhretdinov, Marat Irekovich, Ekomasov, Evgenii Grigorievich

“…Methods. The &phi;4 model with inhomogeneities was numerically solved using the method of lines for partial differential equations. …”
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Linguistic Summarization and Outlier Detection of Blended Learning Data by Pham Dinh Phong, Pham Thi Lan, Tran Xuan Thanh

“…Those extracted linguistic summaries in the form of sentences in natural language are easy to understand for humans. Furthermore, a method of detecting the exceptional cases or outliers of the learning courses based on linguistic summaries expressing common rules in different scenarios is also proposed. …”
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Multi-branch network for double JPEG detection and localization by Ahmed M. Fouad, Hala H. Zayed, Ahmed Taha

“…Therefore, developing forensic methods to detect forged images is crucial. JPEG image tampering often involves recompression with a different quantization table, known as double JPEG compression. …”
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Ranking-Based Case Retrieval with Graph Neural Networks in Process-Oriented Case-Based Reasoning by Maximilian Hoffmann, Ralph Bergmann

“…The main contribution of this paper addresses the changes to the GNNs from previous work, such that their model architecture predicts pairwise preferences between cases w.r.t. a query and that they can be trained using labeled preference data. In order to transform these preferences into a case ranking, we also describe rank aggregation methods with different levels of computational complexity. …”
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