Statistical and neural network modeling of β-glucanase production by Streptomyces albogriseolus (PQ002238), and immobilization on chitosan-coated magnetic microparticles by Nourhan H. Elshami, Ghadir S. El‑Housseiny, Mahmoud A. Yassien, Nadia A. Hassouna

“…Other fermentation conditions were optimized through response surface methodology (RSM); D-optimal design (DOD) with a total of 28 runs. …”
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A Reliability Assessment Method for Distribution Networks Based on Conditional Generative Adversarial Network and Multi-agent Reinforcement Learning by Huihui XU, Yunfei TIAN, Yuyang ZHAO, Jing PENG, Qingxin SHI, Rui CHENG

“…Firstly, the sequential state sequences of the system are generated using Sequential Monte Carlo simulation, and a conditional generative adversarial network (CGAN) is combined with multi-resolution meteorological factors to characterize the multivariate characteristics of source-load scenarios, including temporal dependency, volatility, randomness, and source-load correlation. …”
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Enhanced production and purification of L-asparaginase from Bacillus paralicheniformis AUMC B-516 with potent cytotoxicity against MCF-7 cell lines by Abdullah Abobakr Saleh, Hamdy M. El-Aref, Azza M. Ezzeldin, Rania M. Ewida, Osama A. M. Al-Bedak

“…Nowadays, bacterial species represent the main source of microbial synthesis for L-asparaginase. …”
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Optimization of Power System Black Start partition Target Network Taking into Account the Black Start Space-Time Support Capability of New Energy Station by Ruixin WANG, Jiguang SUN, Yan LIU, Lun CHENG, Ting XU, Guanghui SUN

“…Taking into account the spatiotemporal support capacity of new energy station black start, a target network optimization method for power system black-start zoning is proposed to improve unconventional security defense ability of the new power system. …”
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Optimasi Algoritma Support Vector Machine Berbasis Kernel Radial Basis Function (RBF) Menggunakan Metode Particle Swarm Optimization Untuk Analisis Sentimen by Cucun Very Angkoso, Khozainul Asror, Ari Kusumaningsih, Andi Kurniawan Nugroho

“…The study investigates the effectiveness of the Particle Swarm Optimization (PSO) method for balanced and unbalanced datasets and how well it improves sentiment analysis accuracy when applied to the Support Vector Machine (SVM) algorithm when using Radial Basis Function (RBF) kernel. …”
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Optimization of Ultrasonication Probe-Assisted Extraction Parameters for Bioactive Compounds from <i>Opuntia macrorhiza</i> Using Taguchi Design and Assessment of Antioxidant Prope... by Dimitrios Kalompatsios, Vassilis Athanasiadis, Martha Mantiniotou, Stavros I. Lalas

“…Ultrasound probe-assisted extraction (UPAE) is a highly promising method for efficiently extracting valuable molecules from natural sources. …”
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Analysis the effects of monetary policy in Iran's economy with the existence of shadow banking, using dynamic stochastic general equilibrium method by ashkan makipour, Ahmad Salahmanesh, Ebrahim Anvari, Ebrahim Bahraminia

“…Comparison of monetary policy in the form of two scenarios mentioned in the articlepolicyScenario (1)No shadow bankingScenario (2)With shadow bankingProductioninflationProductioninflationExpansionary monetary policy  Increasing production and reaching the long-term level after seven periodsPositive inflationary effectThe increasing effect on production is neutralized after a period and then production decreasesInflationary effect more than scenario 1 Contractionary monetary policyDecrease in production levelA decrease in the level of prices and a negative inflationary effectDecrease at a lower rate of scenario 1 and then increase productionDecreasing inflation at a higher rate than scenario 1Ethical ConsiderationsCompliance with ethical guidelines: All ethical principles have been observed in this article. All sources used in this article are mentioned. Regarding the method of collecting statistics and data used in the article, sources are also mentioned. …”
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Problems of Investment Planning in Upstream companies by L. R. Artemkina

“…The sources of the mass media and regulatory documents of some Russian upstream companies were considered while studying the investment planning problems. …”
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Advanced Numerical Analysis of Heat Transfer in Medium and Large-Scale Heat Sinks Using Cascaded Lattice Boltzmann Method by Fatima Zahra Laktaoui Amine, Mustapha El Alami, Elalami Semma, Hamza Faraji, Ayoub Gounni, Amina Mourid

“…This study employs the Cascaded Lattice Boltzmann Method (CLBM) to enhance their thermal performance. …”
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Optimal energy management of distributed generation resources in a microgrid under various load and solar irradiance conditions using the artificial bee colony algorithm by Tareq Hamadneh, Omar Alsayyed, Belal Batiha, El Manaa Barhoumi, Mehrdad Ahmadi Kamarposhti, Hassan Haghighi, Phatiphat Thounthong, Ilhami Colak

“…Achieving these objectives requires comprehensive modeling of all microgrid components, including load profiles, generation sources, and the network structure. In recent years, metaheuristic optimization techniques have gained significant traction due to their flexibility and robustness in handling complex, nonlinear, and multi-objective problems without the need for initial estimations. …”
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A Fault Diagnosis Method for Dry Vacuum Pump Bearing Based on Finite Element Simulation With Deep Transfer Learning by Yanfeng Wei, Haibin Liu, Min Wei, Mingfei Li

“…First, finite element simulation is used to model the bearing dynamics and create a fault dataset to address data collection challenges and verify the feasibility of the method. Secondly, an attention mechanism is introduced in the feature extraction layer, combined with a deep transfer learning framework based on domain adversarial networks, to optimize feature extraction and align source and target domain features, thereby improving the accuracy of fault diagnosis and model generalization ability. …”
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Time-division prediction method for peak power of distributed new energy access power grid based on ARIMA–RBF by Yangrui Zhang, Junpeng Zhao, Chao Zhang, Bingyu Zhang, Xiaoyu Liu, Shaokang Feng

“…Historical power data are selected using a similar-day method and segmented into different periods using the Fisher optimal division method. …”
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Probabilistic Noise Detection and Weighted Non-Negative Matrix Factorization-Based Noise Reduction Methods for Snapping Shrimp Noise by Suhyeon Park, Jongwon Seok, Jungpyo Hong

“…Snapping Shrimps Noise (SSN), loud sounds generated by these underwater creatures, serves as a major source of in performance degradation by decreasing the Signal-to-Noise Ratio (SNR) for underwater acoustic communication and target detection. …”
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Gearbox fault diagnosis method based on adaptive multi-sensor data level fusion and fine-grained domain adaptation by Yabin Shi, Gaige Chen, Lin Li, Xiaozheng Jin, Jian Zheng, Zhongquan Li

“…Furthermore, ablation studies validated the contribution of each module within our method, and parameter sensitivity analyses highlighted their impact on the model’s effectiveness.…”
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On the corpus of speech samples with errors in the use of Russian as a foreign language: methods of data representation and deep markup parameters by S. V. Gusarenko, M. K. Gusarenko

“…The purpose of the study, the results of which are presented in the article, is to develop the optimal composition and method of presenting data in the developed corpus of Russian speech samples with errors made by foreign students. …”
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Response surface optimized green approach for silk and cotton dyeing using peels extract as a dye and pomegranate rind as bio-mordant: Waste to craft by Hafiz Nawaz Hussain, Faiza Imtiaz, Arfaa Sajid, Umer Younas, Qaisar Manzoor, Wissem Mnif, Arif Nazir, Samiah H Al-Mijalli, Munawar Iqbal, Nimra Ehsan

“…In this study, a green method was employed for dyeing silk and cotton fabrics using extracts from Beta vulgaris peels as a colorant, pomegranate rind as a bio-mordant, and microwave-assisted extraction as a green extraction technique. …”
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Optimization of extraction in supercritical fluids in obtaining Pouteria lucuma seed oil by response surface methodology and artificial neuronal network coupled with a genetic algo... by Alex Chauca-Cerrutti, Marianela Inga, José Luis Pasquel-Reátegui, Indira Betalleluz-Pallardel, Gustavo Puma-Isuiza

“…When processing lucuma (Pouteria lucuma), waste such as shells and seeds is generated, which is a source of bioactive compounds. Recently, lucuma seed (LS), especially its oily fraction, has been studied for containing phytosterols and tocopherols, powerful antioxidants with health benefits. …”
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Multiscale feature tuned trans-DeepLabV3+ based semantic segmentation of aerial images using improved red piranha optimization algorithm by P. Anilkumar, K. Lokesh, A. Naveen Kumar, D. John Pradeep, Y. V. Pavan Kumar, Rammohan Mallipeddi

“…Standard information sources are used to collect the aerial photos. The Multi-Scale RetiNex (MSRN) technique is employed to enhance the obtained images’ color quality. …”
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Framework for Personalizing Wearable Devices Using Real-Time Physiological Measures by Prakyath Kantharaju, Sai Siddarth Vakacherla, Michael Jacobson, Hyeongkeun Jeong, Meet Nikunj Mevada, Xingyuan Zhou, Matthew J. Major, Myunghee Kim

“…In this study, we present an open-source, device-independent personalization framework that allows for human-in-the-loop optimization. …”
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Vessel Type Recognition Using a Multi-Graph Fusion Method Integrating Vessel Trajectory Sequence and Dependency Relations by Lin Ye, Xiaohui Chen, Haiyan Liu, Ran Zhang, Bing Zhang, Yunpeng Zhao, Dewei Zhou

“…To address this limitation, our study introduces a novel multi-graph fusion representation method that integrates both trajectory sequences and dependency relationships to optimize the task of vessel type recognition. …”
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