Hybridizing Technology Management and Knowledge Management to Spur Innovation: A System Dynamics Approach by Reddy MRS Suryanarayana, Muddangala Naresh Babu, Gundraju Yamuna, Thaya Madhavi, Cristina Claudia Bizon, Nicu Bizon, Phatiphat Thounthong

“…The elements of the Technology Acceptance Model (TAM) and Socialization-Externalization-Internalization-Externalization (SECI) Model of KM have been modeled and used for simulation for the identification of the role played by the factors influencing the furniture design information conversion rate. The research follows the case study method to research as it draws data from a single company. …”
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Introduction and validation of a surrogate model for warm forming and cathodic dip treatment of EN AW-7075-T6 by Jepkens Jan, Ortlieb Eduard, Ramirez Dominyka Vasquez, Wester Hendrik, Uhe Johanna, Behrens Bernd-Arno

“…Training, validation, and testing of the regressor is conducted utilising experimental data. Miniaturised uniaxial tensile specimens were preconditioned with variations in true strain, strain rate, forming temperature and cooling rate, then CDC-treated and destructively tested. …”
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Predicting Surface Roughness and Grinding Forces in UNS S34700 Steel Grinding: A Machine Learning and Genetic Algorithm Approach to Coolant Effects by Mohsen Dehghanpour Abyaneh, Parviz Narimani, Mohammad Sadegh Javadi, Marzieh Golabchi, Samareh Attarsharghi, Mohammadjafar Hadad

“…A relational equation with 25 coefficients is developed, using optimized algorithms to predict surface roughness with an 85 percent accuracy and grinding forces with a 90 percent accuracy rate. Learning from machine models like the Gaussian process regression exhibited stability, with an R² value of 0.98 and a mean accuracy of 93 percent. …”
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The impact of artificial intelligence on medical diagnostics: A letter to the editor by Sahar Imtiaz, Sheikh Abdul Qadir Jillani

“…By leveraging machine learning algorithms, AI systems can process and analyze large volumes of medical data, including patient records, laboratory results, medical images, and genomic data. …”
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Robust Image Steganography Approach Based on Edge Detection Combined With CNN Algorithm by Rana Al-Rawashdeh, Md Mahfuzur Rahman, Mahmood Niazi

“…In this research, a new framework is proposed that integrates the edge detection strategy (using edge detectors) with the deep learning methods, such as a convolutional neural network (CNN), for making secret data embedding and extraction processes efficient. …”
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Development and Validation of a Novel PPAR Signaling Pathway-Related Predictive Model to Predict Prognosis in Breast Cancer by Yingkun Xu, Dan Shu, Meiying Shen, Qiulin Wu, Yang Peng, Li Liu, Zhenrong Tang, Shun Gao, Yuan Wang, Shengchun Liu

“…Based on TCGA database, we use multiple extension packages based on the R language for data conversion, processing, and statistics. We use LASSO regression analysis to establish a prognostic-related risk model in BRCA. …”
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U-SCAD: An Unsupervised Method of System Call-Driven Anomaly Detection for Containerized Edge Clouds by Jiawei Ye, Ming Yan, Shenglin Wu, Jingxuan Tan, Jie Wu

“…Moreover, our method can effectively reduce the original processing data to 13%, which means that it significantly lowers the cost of computing resources.…”
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Microbiome-derived reactivation of mycophenolate explains variations in enterohepatic recirculation in kidney transplant recipients by Ole Martin Drevland, Eric J. de Muinck, Pål Trosvik, Marta Hammerstad, Kine Eide Kvitne, Karsten Midtvedt, Anders Åsberg, Ida Robertsen

“…Conclusions We highlight for the first time that the ex vivo determined reactivation rate of MPA explains the variation of enterohepatic recirculation, emphasizing the important role of F. prausnitzii in this process. …”
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Cancer incidence and mortality in the Far Eastern Federal District (2013–2022) by V. P. Gordienko

“…Material and Methods. Data from official reports of cancer services (form No 35, No. 7) processed using standard cancer statistics programs were presented. …”
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The rising role of physical activity in multiscale urban aging: evidence from spatial MGWR modeling in Hubei by Junjun Qiu, Yuge Zhang, Binbin Jia, Binbin Jia, Danyang Li, Danyang Li

“…This study investigates the multiscale influences on the city-level aging rate in Hubei Province, comparing patterns in 2010 and 2020.MethodsWe applied Multiscale Geographically Weighted Regression (MGWR) to annual data for 17 cities in Hubei. …”
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Mathematical Model of Hot Metal Desulfurization by Powder Injection by Yolanda Cepeda Rodríguez, Guillermo González Múzquiz, José Refugio Parga Torres, Luciano Eliezer Ramírez Vidaurri

“…The model could be utilized to assess the influence of the treatment temperature, rate of injection, gas flow rate, and initial concentration of sulfur on the desulfurization kinetics. …”
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Kinetic and Reaction Pathway Analysis in the Application of Botulinum Toxin A for Wound Healing by Frank J. Lebeda, Zygmunt F. Dembek, Michael Adler

“…The indications or conditions include traumatic wounds (experimental and clinical), surgical (incision) wounds, and wounds such as fissures and ulcers that are signs/symptoms of disease or other processes. An objective was to conduct systematic literature searches and take note of the reactions involved in the healing process and identify corresponding pharmacokinetic data. …”
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INVESTMENT ATTRACTIVENESS OF THE HEALTH RESORT AND TOURIST COMPLEXES OF KRASNODAR TERRITORY: THE SPECIFICITY AND INTRA REGIONAL FEATURES OF CITIES AND REGIONS by M. F. Khodykina, V. V. Voronina, A. V. Kudelya, V. V. Minenkova

“…We have used comparative and geographical methods, statistical processing and analysis of the rating of investment attractiveness of Russian regions.Results. …”
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Sorption of Triclosan onto Tyre Crumb Rubber by J. López-Morales, O. Perales-Pérez, F. Román-Velázquez

“…Our study results indicate that the removal of TCS using SBP follows an absorption process. Maximum desorption rate of TCS from TCR was approximately 89%. …”
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Double-component combined generalized weighted fractional Fourier transform based waveform design for massive MIMO by Xingjian LI, Zhiqun SONG, Yong LI, Lizhe LIU, Bin WANG, Chang WANG

“…In order to overcome the drawback of conventional diversity technologies that sacrificing valuable communication resources such as data rate or bandwidth in massive multiple input multiple output (MIMO) systems, a double-component combined generalized weighted fractional Fourier transform (DCGWFRFT) based waveform design method was proposed.The concept of computational diversity was introduced, and the diversity performance was improved via moderate computational resources without requiring channel state information at the transmitter.The principle of computational diversity of DCGWFRFT based waveform was firstly analyzed, and a DCGWFRFT based waveform design and transform process, which could be adopted combined with existing diversity methods, was then proposed according to the principle.Theoretical analysis proves that the proposed waveform design and transform process can perfectly recover the original transmitted signal in noise-free case, and the power of error of proposed waveform is distributed more evenly than that of untransformed waveform in noisy case.Simulation results show that the performance of DCGWFRFT based waveform has an advantage of at least 1.7 dB in bit signal-to-noise ratio compared with untransformed waveform when bit error rate is 10^-3.…”
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Development of mathematical model and optimization of GMA welding parameters of IS 2062 grade A steel weldments by Saadat Ali Rizvi, Wajahat Ali

“…In this experimental work, the effects of Gas metal arc (GMA) welding process parameters, such as arc voltage, wire feed speed, and gas flow rate on the mechanical quality of IS 2062 structural steel of grade A have been studied. …”
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Genetic progression and the waiting time to cancer. by Niko Beerenwinkel, Tibor Antal, David Dingli, Arne Traulsen, Kenneth W Kinzler, Victor E Velculescu, Bert Vogelstein, Martin A Nowak

“…We employ the Wright-Fisher process for exploring the basic parameters of this evolutionary process and derive an analytical approximation for the expected waiting time to the cancer phenotype. …”
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Constrained Optimization of Functional Inspection Based on Delay Time Model and Its Application in Aircraft Maintenance by Huai Yuan Li, Wen Ming Gui, Wen Jun Chen, Ru Bin Gong

“…According to practical failure degeneration process, a constraint optimization model of non-periodic functional inspection based on expected cost rate is created from delay time conception. …”
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Technical-economic Analysis of Chemical Hydrolysis of Microalgae for Bioethanol Production using SuperPro Designer® by Elham Bahmani, Hanieh Shokrkar, Reza Alizadeh

“…From the comparison of the values ​​of the reaction rate constant (k), it was observed that the hydrolysis rate ​​at 50 g/L by using H2SO4 2.5% (v/v), is higher compared to 25, 75, and 100 g/L, and the higher reaction rate constant supports the faster hydrolysis of algal biomass. …”
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Lymph node colonization dynamics after oral Salmonella Typhimurium infection in mice. by Patrick Kaiser, Emma Slack, Andrew J Grant, Wolf-Dietrich Hardt, Roland R Regoes

“…We further found that inflammation decreases the net replication rate in the cLN by 23%. In ccr7(-/-) mice, in which dendritic cell movement is impaired, the bacterial migration rate was reduced 10-fold. …”
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