Enhancing Antioxidant Benefits of Kombucha Through Optimized Glucuronic Acid by Selected Symbiotic Fermentation Culture by Yu-Chieh Chou, Hui-Wen Lin, Chung-Yi Wang, Chen-Che Hsieh, Shella Permatasari Santoso, Shin-Ping Lin, Kuan-Chen Cheng

“…To optimize the glucuronic acid content in kombucha, various strain combinations by selecting fermented sources were accomplished. According to the experimental results, kombucha produced through co-fermentation with <i>Pichia anomala</i> and <i>Komagataeibacter hansenii</i>, with glucose-added black tea as the carbon source, exhibited the highest glucuronic acid production. …”
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Introduction of AI Technology for Objective Physical Function Assessment by Nobuji Kouno, Satoshi Takahashi, Masaaki Komatsu, Yusuke Sakaguchi, Naoaki Ishiguro, Katsuji Takeda, Kyoko Fujioka, Ayumu Matsuoka, Maiko Fujimori, Ryuji Hamamoto

“…This paper explored how artificial intelligence (AI) could predict physical function scores from various patient data sources and reviewed methods to measure objective physical function using this technology. …”
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Classification and Carbon-Stock Estimation of Mangroves in Dongzhaigang Based on Multi-Source Remote Sensing Data Using Google Earth Engine by Ruiwen Zhang, Jianchao Fan

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Assessment of the capacity of health facilities in preventing and managing non-communicable diseases in selected regions of Somaliland by Opeolu O. Ojo, Omar O Hersi, Ayodele A Falobi, Nura Ali, Lawrence Tan, Yusuf A. Ali

“…The survey focused on assessing the capacity of selected hospitals in detecting and managing NCDs by collecting data on the availability of health workers, equipment, screening and management services, medications, and laboratory tests. …”
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Joint Multifractal Analysis and Source Testing of River Level Records Based on Multifractal Detrended Cross-Correlation Analysis by Liang Wu, Manling Wang, Tongzhou Zhao

“…It is important for the detection of change in multifractality in space. Besides, the cross-correlations in two analyzed series make the analysis of sources of joint multifractality difficult. …”
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Forest Succession and Maternity Day Roost Selection by Myotis septentrionalis in a Mesophytic Hardwood Forest by Alexander Silvis, W. Mark Ford, Eric R. Britzke, Nathan R. Beane, Joshua B. Johnson

“…For northern bats, we suggest that day-roost selection is not a function of differences between individual tree species per se, but rather of forest successional patterns, stand and tree structure. …”
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Boosting feature selection efficiency with IMVO: Integrating MVO and mutation-based local search algorithms by Maryam Askari, Farid Khoshalhan, Hodjat Hamidi

“…Our method balances exploration and exploitation, focusing resources on the most promising regions, thus enhancing feature selection effectiveness and reducing computational costs. …”
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A Comparative Analysis of Three Data Fusion Methods and Construction of the Fusion Method Selection Paradigm by Ziqi Liu, Ziqiao Yin, Zhilong Mi, Binghui Guo, Zhiming Zheng

“…Finally, we introduce a fusion method selection paradigm for selecting the most appropriate fusion method prior to task execution and demonstrate its effectiveness through extensive numerical experiments. …”
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Emic and Etic Perspectives on HR Practice for Managing Human Resource Issues Affected by the Prevalence of Informal Networks in Arab Countries by Sa’ad Ali, David Weir, Munirah Sarhan AlQahtani, Mansour Mrabet

“…Whilst research on Wasta has been improving in quantity and quality, there is still much more to know about the interactions between the different parties in Wasta transactions, the role of power in this process and how it impacts HR functions. As such, this research aims to address this gap by exploring the use of Wasta in human resources (HR) functions, drawing on 17 semi-structured interviews with HR, recruitment and line managers working in the Jordanian banking sector. …”
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More Choosy for Minor Foods: Diet, Seasonality and Food Selection in Sympatric Frugivorous and Folivorous Lemurs by Mitchell T. Irwin, Vololonirina Rahalinarivo, Bruno Ramorasata, Jean‐Luc Raharison, Jean‐Freddy Ranaivoarisoa, Chloé N. M. Gherardi, Jessica M. Rothman

“…This indicates a balancing function: frugivores selecting leaves strategically to compensate for low‐protein, low‐mineral fruit and folivores selecting fruit/seed to compensate for low‐energy leaves. …”
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Code vulnerability detection method based on graph neural network by Hao CHEN, Ping YI

“…The schemes of using neural networks for vulnerability detection are mostly based on traditional natural language processing ideas, processing the code as array samples and ignoring the structural features in the code, which may omit possible vulnerabilities.A code vulnerability detection method based on graph neural network was proposed, which realized function-level code vulnerability detection through the control flow graph feature of the intermediate language.Firstly, the source code was compiled into an intermediate representation, and then the control flow graph containing structural information was extracted.At the same time, the word vector embedding algorithm was used to initialize the vector of basic block to extract the code semantic information.Then both of above were spliced to generate the graph structure sample data.The multilayer graph neural network model was trained and tested on graph structure data features.The open source vulnerability sample data set was used to generate test data to evaluate the method proposed.The results show that the method effectively improves the vulnerability detection ability.…”
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Peculiarities of the Functioning of the Taboo Lexicon in the Modern Western Cinematography by S. A. Pankratova

“…The implementation presupposes analysis of taboo lexical units, revealing their functioning features as regards to acceptable implementation of the taboo and to depict the possible ways of optimization of its use in modern cinema.Methodology and sources. …”
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Conceptual principles of formation and functioning of vertically integrated structures by V.A. Topilo, V.K. Danylko

“…Based on the decomposition analysis, the paper clarifies the concept of «vertically integrated structure», which should be understood as a form of functioning the business structure, that arose by combining financial, production, labor resources of various organizational and legal forms related to the technological cycle (the process of supply, production and sale of products) in order to obtain maximum synergy and strategic competitive advantages. …”
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Algorithms for Automatic Detection and Location of Infrasound Events in the PSDL System by Asming Vladimir Ernestovich, Fedorov Andrey Viktorovich

“…An algorithm for detecting infrasound signals by calculating the cross-correlation function between records of individual sensors in a array is described. …”
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Statistically Optimized Near-Field Acoustic Holography Using Prolate Spheroidal Wave Functions by Xuxin Zhang, Jingjun Lou, Jinfang Lu, Ronghua Li, Shijian Zhu

“…Near-field acoustic holography (NAH) is an effective tool for realizing accurate sound field reconstruction in three-dimensional space on the prerequisite that appropriate elementary wave functions are selected or constructed to match the characteristics of the sound sources. …”
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A METHOD FOR INVESTIGATING MACHINE LEARNING ATTACKS ON ARBITER-TYPE PHYSICALLY UNCLONABLE FUNCTIONS by Yuri A. Korotaev

“…This approach allows for a preliminary evaluation of the effectiveness of different algorithms for attacking APUFs without access to challenge-response datasets from real instances of physically unclonable functions. Attacks were conducted on models of basic and modified variants of APUFs from the open-source library "pypuf", using classical logistic regression and artificial neural networks (ANNs). …”
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Detection, Parameter Estimation and Direction Finding of Periodic Pulse Signals by V. B. Manelis, I. S. Faustov, V. A. Kozmin

“…Simple-to-implement algorithms for detecting periodic pulse signals, evaluating their parameters, and direction finding of the source have been developed. …”
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Forecasting springtime rainfall in southeastern Australia using empirical orthogonal functions and neural networks by S. Marčelja

“…In addition to standard ocean climate indicators such as El Niño or the Indian Ocean Dipole, other typical patterns of variation are captured in terms of the temperatures of selected ocean areas. When characteristic patterns of correlation are discovered, they are included in the predictor selection in the form of expansion in terms of the empirical orthogonal functions (EOFs). …”
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Development of curd semi-finished product with functional properties by L. Yu. Lavrova, E. L. Bortsova, S. A. Ermakov

“…The article is devoted to the development of a curd semifinished product with a high content of dietary fiber. The food fibre source is represented by the use of natural apple pectin introduced in various dosages into curd cheesecakes instead of prime grade wheat flour. …”
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A Two-Step Method for Impact Source Localization in Operational Water Pipelines Using Distributed Acoustic Sensing by Haonan Wei, Yi Liu, Zejia Hao

“…STEE is introduced as a stable metric to quantify signal impulsiveness and guides the selection of the relevant intrinsic mode function. …”
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