Fungal Biomass Fermentation: Valorizing the Food Industry’s Waste by Simas Borkertas, Jonas Viskelis, Pranas Viskelis, Paulina Streimikyte, Ugne Gasiunaite, Dalia Urbonaviciene

“…The process is influenced by biological, physico-chemical, and environmental factors, requiring careful optimization for optimal results. Fruit and vegetable by-products are increasingly recognized as valuable substrates for SSF, offering rich sources of bioactive compounds and high nutritional value. …”
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Accelerating EdDSA Signature Verification with Faster Scalar Size Halving by Muhammad ElSheikh, İrem Keskinkurt Paksoy, Murat Cenk, M. Anwar Hasan

“…For the first time ever, EEA generated half-size scalars are used for verification of individual Ed25519 signatures yielding timing results that outperform ed25519-donna, a highly optimized open source implementation, by 16.12%. We also propose a new randomization method applied with half-size scalars to batch verification of Ed25519 signatures for which we report speed-ups compared to the well-known Bernstein et al. method for batch sizes larger than six, specifically, our method achieves 11.60% improvement for batch size 64. …”
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Historical and Cultural Tradition of Organizing Labour Activity in Russia and Its Impact on Today’s Economic Mentality of Russian Citizens by Z. V. Bezveselnaya

“…For this research the author used a combination of historical and logical methods in line with the statistical method, analysis of historic sources, as well as the method of comparative analysis.…”
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Energetically self-sufficient robot group study kit by M. A. Rovbo, A. A. Malyshev

“…In addition to performing the target task, ancillary tasks such as maintaining the battery level, communication with other team members in a multi-agent system, should be considered in the control algorithm of the robot, which allows to study the distribution of priorities between these objectives, as shown in the example of multicriteria optimization. The prototype of the kit and its usage according to the described approach have been partially validated by conducting computational experiments with algorithms based on different search methods (random search, closest source and multi-criteria optimization methods), multi-agent paradigm and adaptive control which show a variety of possible approaches and illustrate the process of students' work. …”
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Production of Single-Cell Oil from a Local Isolate Bacillus subtilis Using Palm Fronds by Wassan Dawood Musa Al-Obeidi, Dhafer F. Al-Rawi, Loay H. Ali

“…Submerged cultures were used to improve SCO production, with optimal conditions determined as pH 7, a temperature of 30°C, carbon source concentration of 3 g/100 ml, inoculum volume of 3 ml/100 ml, inoculum density of 20 × 107 cells, and an incubation period of 72 hours. …”
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Effect of potato pulp as a natural antioxidant on fat oxidation of fish waste during solid-state fermentation by Hananeh Safdari, Zohreh Hamidi-Esfahani

“…The optimized variables included moisture, pH, and bacterial inoculum amount, which were optimized using a full factorial statistical method at three levels. …”
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Research on power system transformation based on edge node technology under the background of carbon neutrality by LI Jin, GAO Hongliang, LIU Kemeng, XIE Hu

“…In each island, the improved particle swarm optimization algorithm is used to reasonably distribute the power tasks, forming a novel power system with the coordinated planning of source-network-load-storage as the core. …”
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Research on Parameter Distribution Features of Photovoltaic Array under the Cover and Shadow Shading Conditions by Honglu Zhu, Cao Yu, Lingxing Lu, Weiwei Lian, Jianxi Yao, Yang Hu

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Research advances in mesenchymal stem cells and related therapies for rotator cuff tendon-to-bone healing by Laimeng Song, Na Li, Jiwu Chen

“…Clinical studies demonstrate reduced retear rates with MSC-based therapies, yet animal models show inconsistent outcomes, influenced by cell source, delivery methods, and dosage. MSC modifications (e.g., gene editing) and scaffold-based strategies further improve biomechanical strength and fibrocartilage regeneration. …”
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Systemic approach in the development of functional foods for various noncommunicable diseases by I. M. Chernukha, M. A. Nikitina, M. A. Aslanova, A. T. Qusay

“…As a result, we receive a modified Muhammara recipe with optimized protein: fat ratio. Mathematical simulation was carried out using the R Studio software with open-source lpSolve and lpSolveAPI libraries.…”
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Developing a novel approach for passive damped LCL filter and controller parameter design using PSO algorithm in VSC-based islanded microgrids by Yared Bekele Beyene, Getachew Biru Worku, Lina Bertling Tjernberg

“…In this research, a new approach called Particle Swarm Optimization–Proportional–Integral (PSO-PI) is proposed for optimizing the gains of current and voltage controllers as well as the LCL filter parameters in voltage source converter (VSC)-based islanded microgrids. …”
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Queue Intensity Adaptive Signal Control for Isolated Intersection Based on Vehicle Trajectory Data by Juyuan Yin, Peng Chen, Keshuang Tang, Jian Sun

“…First, a Kalman filter-based method is employed to estimate real-time queue state with vehicle trajectories. …”
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Inverse design of 3D nanophotonic devices with structural integrity using auxiliary thermal solvers by Kuster Oliver, Augenstein Yannick, Hernández Roberto Narváez, Rockstuhl Carsten, Sturges Thomas Jebb

“…This work introduces a multi-objective optimization method to address these challenges in 3D nanophotonic designs. …”
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A co-registered in-situ and ex-situ dataset from wire arc additive manufacturing process by Vladimir Orlyanchik, Jeffrey Kimmell, Zackary Snow, Amir Ziabari, Vincent Paquit

“…This method relies on AI/ML models and optimization techniques, which are developed using the data collected from various sources, including in-situ sensors, ex-situ imaging, and manufacturing process parameters. …”
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Air-stable silicon hybrid solar cells constructed via hydrophobic polymer film by Qi Geng, Zhen Liu, Yuzhou Liu, Zhe Wang, Zhongliang Gao, Xin Sun, Yingfeng Li, Lei Chen, Xiaojun Lv, Meicheng Li

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Crystal’s Self-Alignment for High Power Laser Facility Based on Machine Learning by Yaohan Kang, Daizhong Liu, Xiuqing Jiang, Lei Gong, Xingqiang Lu, Mingying Sun

“…The proposed scheme comprises two modules: a rectangular spiral spot scanning search method module and an automatic spot aligning method module based on the open-source Machine-Learning Online Optimization Package (M-LOOP) algorithm. …”
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TCN–Transformer Spatio-Temporal Feature Decoupling and Dynamic Kernel Density Estimation for Gas Concentration Fluctuation Warning by Yanping Wang, Longcheng Zhang, Zhenguo Yan, Jun Deng, Yuxin Huang, Zhixin Qin, Yuqi Cao, Yiyang Wang

“…First, sparse kernel principal component analysis (SKPCA) is used to accomplish the feature decoupling of multi-source monitoring data, and its optimal dimensionality reduction performance is verified using long-term and short-term neural networks (LSTMs). …”
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Coordinated Energy Management Strategy for DC Microgrid With Hybrid Energy Storage System: A Real‐Time Case Study by Biks Alebachew Taye

“…The economic viability of solar, wind, and energy storage systems is meticulously evaluated using HOMER Pro software, aiding in the identification of viable energy sources. Once optimized energy resources, energy storage solutions, and load demands are identified, a systematic approach is taken. …”
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Techniques for increasing the efficiency of microclonal propagation of potatoes (review) by Yu. D. Smirnova, E. A. Podolian

“…The work analyzes sources of domestic and foreign literature, presenting the results of research related to the study and improvement of in vitro propagation and in vivo cultivation techniques for obtaining potato source material. …”
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Simulation of extreme flood events for risk assessment for flood control of a reservoir-lake-river system under spatially dependent uncertainties by Huili Wang, Bin Xu, Jianyun Zhang, Guoqing Wang, Ping-an Zhong, Xinman Qin, Xuesong Yang, Ran Mo, Jinshu Li, William W.-G. Yeh

“…New hydrological insights for the region: The results show that the proposed method can effectively simulate the spatial interdependencies of risk source variables based on limited historical data. …”
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