Bioactive compounds in fermented foods: Health benefits, safety, and future perspectives by Solomon Fitsum, Gebreselema Gebreyohannes, Desta Berhe Sbhatu

“…While traditional methods involve complex microbial interactions that result in inconsistent bioactive profiles, industrial fermentation utilizes selected strains to maximize efficiency and standardize outcomes. …”
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Potential of Low-Cost UAV Photogrammetry for Documenting Hard-to-Access Interior Spaces Through Building Openings by Marián Marčiš, Marek Fraštia, Katarína Terao Vošková

“…However, due to the considerable diversity of cultural heritage, there are practical demands for the measurement of complex and inaccessible objects in interior spaces. …”
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Adsorptive Removal of Dyes: A Comparison of Graphene Oxide to Granular Activated Carbon and Zeolite NaY by Niloufar Nekouei Marnani, F. Handan Tezel, Onita D. Basu

“…Overall, GO demonstrated a more robust and higher removal efficiency of cationic dyes compared with GAC and NaY, indicating the potential of graphene oxide for the removal of complex structured organic contaminants in wastewater treatment.…”
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FORECASTING OF PRODUCTION OUTPUT FOR LIGHT INDUSTRY ENTERPRISES WITH PURPOSE TO DETERMINE THEIR POWER RESOURCES REQUIREMENTS. Part 2 by V. N. Romaniuk, D. B. Muslina

“…The so-called “Game with Nature” has been selected as a game which is widely used for solution of analogous demand problems. …”
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Deep Reinforcement Learning With Dueling DQN for Partial Computation Offloading and Resource Allocation in Mobile Edge Computing by Ehzaz Mustafa, Junaid Shuja, Faisal Rehman, Abdallah Namoun, Mazhar Ali, Abdullah Alourani

“…The Dueling DQN alleviates the complexity of simultaneous offloading and resource allocation decisions, with each branch independently controlling a subset of the decision variables to scale efficiently with an increasing number of IoT devices, thereby avoiding the combinatorial explosion of potential actions. …”
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Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering. by Xini Fang

“…Firstly, based on operational risk theory, market risk, research and development risk, financial risk, and human resource risk are selected as the primary indicators for enterprise risk assessment. …”
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RABP: Delay/disruption tolerant network routing and buffer management algorithm based on weight by Hezhe Wang, Guangsheng Feng, Huiqiang Wang, Hongwu Lv, Renjie Zhou

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UAM Vertiport Network Design Considering Connectivity by Wentao Zhang, Taesung Hwang

“…This study develops an integrated mathematical model for vertiport location decision, aiming to minimize total system cost while ensuring UAM network connectivity among the selected vertiport locations. To efficiently solve the problem and improve solution quality, a hybrid genetic algorithm is developed by incorporating a Minimum Spanning Tree (MST)-based connectivity enforcement mechanism, a fundamental concept in graph theory that connects all nodes in a given network with minimal total link cost, enhanced by a greedy initialization strategy. …”
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3E multi-objective optimization of Organic Rankine Cycle configurations for a geothermal off-grid system: Power, DHW, and hydrogen production by A. Mokhtari, M. Jalalvand

“…The system generates power through an Organic Rankine Cycle (ORC), with excess energy directed to an electrolyzer for hydrogen production. A residential complex in Tabriz, Iran, with 408 occupants, was selected as the case study, leveraging the availability of geothermal power. …”
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Financing Sustainable Development through State Aid. Evidence from the SAM Reform by ANDREEA - EMANUELA DRĂGOI

“…The current EU state aid policy has constantly evolved from a tool created to control and assess the efficiency of direct subventions granted in the Member States for their economic sectors to a complex set of regulations enabling sustainable and smart development especially through the so called horizontal objectives (environment protection, energy efficiency, renewable energy and RDI). …”
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Effectiveness of compression therapy in chronic venous insufficiency by S. S. Dunaevskaya

“…The article provides an overview of modern literature on the problem of etiology, pathogenesis and principles of complex therapy of chronic venous insufficiency. Data on possible surgical correction methods of this pathology are given. …”
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Internal audit in customs administrations by G. V. Glazkova

“…The article reflects the author’s attempt to combine the possibilities of using digital technologies that increase the efficiency of the provision of this type of the service and create an effective management system within the customs service.…”
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UAV Path Planning: A Dual-Population Cooperative Honey Badger Algorithm for Staged Fusion of Multiple Differential Evolutionary Strategies by Xiaojie Tang, Chengfen Jia, Zhengyang He

“…To address the challenges of low optimization efficiency and premature convergence in existing algorithms for unmanned aerial vehicle (UAV) 3D path planning under complex operational constraints, this study proposes an enhanced honey badger algorithm (LRMHBA). …”
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Designing a Business Model in the Tourism Industry of Iran by Amirhossein Samadian, Saeid Ehdaie, kamyar Raissifar

“…Abstract The competitive environment of business is becoming more complex day by day and every business needs basic methods in creating, presenting and acquiring value in order to continue its activity, growth and development in this field. …”
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IMPROVEMENT OF ACCURACY OF RADIATIVE HEAT TRANSFER DIFFERENTIAL APPROXIMATION METHOD FOR MULTI DIMENSIONAL SYSTEMS BY MEANS OF AUTO-ADAPTABLE BOUNDARY CONDITIONS by K. V. Dobrego

“…It is one of the more effective methods for engineering calculations of radia- tive heat transfer in complex three-dimensional thermal power systems with selective and scattering media. …”
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Wide-Range Variable Cycle Engine Control Based on Deep Reinforcement Learning by Yaoyao Ding, Fengming Wang, Yuanwei Mu, Hongfei Sun

“…The PID controller is subject to limitations, including single-input single-output limitations, low regulation efficiency, and poor adaptability when confronted with contemporary variable cycle engines that exhibit complex and multi-variable operating conditions. …”
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Enhancing chemical synthesis planning: automated quantum mechanics-based regioselectivity prediction for C–H activation with directing groups by Julius Seumer, Nicolai Ree, Jan H. Jensen

“…The mild and selective functionalization of carbon–hydrogen (C–H) bonds remains a pivotal challenge in organic synthesis, crucial for developing complex molecular architectures in pharmaceuticals, polymers, and agrochemicals. …”
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Edge vs. Cloud: Empirical Insights into Data-Driven Condition Monitoring by Chikumbutso Christopher Walani, Wesley Doorsamy

“…The findings reveal that while the cloud platform offers superior computational and memory resources, making it more suitable for complex machine learning tasks, it also incurs higher costs and latency. …”
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Fault Diagnosis of Hydraulic Pumps Using PSO-VMD and Refined Composite Multiscale Fluctuation Dispersion Entropy by Fuming Zhou, Xiaoqiang Yang, Jinxing Shen, Wuqiang Liu

“…Multiscale fluctuation dispersion entropy (MFDE) has been proposed to measure the dynamic features of complex signals recently. Compared with multiscale sample entropy (MSE) and multiscale fuzzy entropy (MFE), MFDE has higher calculation efficiency and better performance to extract fault features. …”
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Shallow Sea Mobile Channel Estimation Method Based on Iterative Cancellation by Cheng He, Tao Song, Lifangzheng Wang, Danying Zhang

“…The method uses cross-correlation of complex signals to identify Doppler shifts, select the most prominent shifts, and subtract corresponding reference signal components. …”
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