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

“…In this work, an effective image semantic segmentation method utilizing deep learning techniques is designed using a heuristic technique. …”
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Optimization of Polyphenol Extraction from Purple Corn Pericarp Using Glycerol/Lactic Acid-Based Deep Eutectic Solvent in Combination with Ultrasound-Assisted Extraction by Ravinder Kumar, Sherry Flint-Garcia, Miriam Nancy Salazar Vidal, Lakshmikantha Channaiah, Bongkosh Vardhanabhuti, Stephan Sommer, Caixia Wan, Pavel Somavat

“…Purple corn pericarp, a processing waste stream, is an extremely rich source of phytochemicals. Optimal polyphenol extraction parameters were identified using response surface methodology (RSM) by combining a deep eutectic solvent (DES) and ultrasound-assisted extraction (UAE) method. …”
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Optimization of Ultrasonic-Enzymatic-Assisted Extraction of Flavonoids from Sea Buckthorn (<i>Hippophae rhamnoides</i> L.) Pomace: Chemical Composition and Biological Activities by Wenyu Suo, Wenzhe Wang, Dajing Li, Haihong Wu, Haiyan Liu, Wuyang Huang, Yanhong Ma

“…These findings indicate that it is a reliable, optimal extraction method to obtain potential antioxidant and hypoglycemic flavonoids from SBP for comprehensive development in functional food.…”
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Optimizing Smart Grid Load Forecasting via a Hybrid Long Short-Term Memory-XGBoost Framework: Enhancing Accuracy, Robustness, and Energy Management by Falah Dakheel, Mesut Çevik

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Solar FaultNet: Advanced Fault Detection and Classification in Solar PV Systems Using SwinProba‐GeNet and BaBa Optimizer Models by Praveen Kumar Balachandran, Muhammad Ammirrul Atiqi Mohd Zainuri, Faisal Alsaif

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Optimization of photodegradation of acid blue 1 dye on aluminosilicate supported Cu doped TiO2 magnetic nanocatalyst using response surface methodology by Fatemeh Mollaie, Mahdieh Afroomand, Najmeh Ahmadi, Nezamaddin Mengelizadeh, Davoud Balarak

“…In this study, sunlight was utilized as an energy source for the degradation process. The degradation of AB1 reached its peak efficiency under the following optimal conditions: catalyst mass of 0.75 g/L, AB1 concentration of 37.5 mg/L, pH of 3, and a contact time of 45 min. …”
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Optimization of steps in the technology of obtaining doubled haploids of summer squash (<i>Cucurbita pepo</i> L.) in the culture of unpollinated ovules <i>in vitro</i> by A. S. Ermolaev, E. A. Domblides

“…The aim of the study was to optimize the individual stages of the technology.Methods. …”
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Introducing Cu(II) onto SiO₂-TiO₂ with Rice Husk Ash as the Source of Silica and Its Catalytic Activity for Kumada Cross-coupling Reaction to Produce Biphenyl... by Dewi Agustiningsih, Nuryono Nuryono, Sri Juari Santosa, Eko Sri Kunarti

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Optimizing FACTS Device Placement Using the Fata Morgana Algorithm: A Cost and Power Loss Minimization Approach in Uncertain Load Scenario-Based Systems by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Ali Fayez Alkoradees, Arpita, Aseel Smerat

“…The main advantage for readers is that FATA provides a reliable and efficient way to optimize power systems. Future work could also investigate the application of FATA in real time, as well as in larger power networks with more renewable energy sources.…”
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A hybrid biomass supply chain optimization approach using sequential adaptive fuzzy inference learning: Insights from a cogeneration system in Europe by Seyydeh Atefeh Mousavi Abandansari, Peiman Ghasemi, Ahmad Attar, Fariba Goodarzian, Seyedeh Asra Ahmadi

“…This paper explores the biomass supply chain's untapped potential as an entrepreneurial opportunity, analyzing its complexities from raw material sourcing to product distribution. The study utilizes a hybrid, multifaceted approach to allow for such a thorough analysis, in which the first phase is to analyze questionnaires and use the fuzzy Delphi method to determine how various components and factors impact the biomass supply chain. …”
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Optimized framework for magnetohydrodynamic Darcy–Forchheimer flow of Reiner–Philippoff fluid incorporating homogeneous–heterogeneous reactions with radiative heat transfer and Cat... by M.S. Alqurashi

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Underwater Sound Speed Profile Inversion Based on Res-SACNN from Different Spatiotemporal Dimensions by Jiru Wang, Fangze Xu, Yuyao Liu, Yu Chen, Shu Liu

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Impact of variable thermal conductivity on couple-stress Casson fluid flow through a microchannel with catalytic cubic reactions by Roja Ajjanna, Khan Umair, Sollapur Shrishail B., Singh Rahul, Prakash Chander, Elattar Samia

“…This study analyses the entropy and heat transfer characteristics of couple-stress Casson fluid in a porous vertical microchannel, incorporating the effects of isothermal cubic autocatalytic chemical reactions, variable thermal conductivity, uniform heat source/sink, and thermal radiation. The governing equations are transformed into dimensionless form and solved numerically using the fourth and fifth-order Runge-Kutta-Fehlberg method. …”
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Comprehensive Performance and Economic Analyses of Transcritical CO₂ Heat Pump Water Heater Suitable for Petroleum Processes and Heating Applications by Dongxue Zhu, Chaohe Fang, Shejiao Wang, Yafei Xue, Liaoliang Jiang, Yulong Song, Feng Cao

“…Through the dynamic simulation method, theoretical support is provided for the optimization of energy-saving control strategies in cold regions, and thoughts are offered regarding the application of transcritical CO₂ systems under similar climatic conditions.…”
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Carbon emission accounting for peak-shaving LNG plant and suggestions on emission reduction countermeasures by Hengjin HU, Dongming ZHANG, Xingxing GAO, Dawei WANG

“…To devise viable emission reduction solutions, it is crucial to precisely monitor the carbon emission levels throughout the LNG industry supply chain and comprehensively grasp the factors influencing them. Methods Following the typical natural gas liquefaction process, this study identified and categorized the carbon emission sources at peak-shaving LNG plants, utilizing a three-level classification method consisting of production systems, industrial processes, and emission facilities, and analyzed the input-output relationships within the basic production system. …”
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Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images by Ahmad Y. A. Bani Ahmad, Jafar A. Alzubi, Manimaran Vasanthan, Suresh Babu Kondaveeti, J. Shreyas, Thella Preethi Priyanka

“…Initially, thermography images are chosen from online sources. The collected thermography images are being preprocessed by Contrast Limited Adaptive Histogram Equalization (CLAHE) and contrasting enhancement methods to improve the quality and brightness of the images. …”
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Current situation of comprehensive utilization of coal gangue and exploration of ways of high-value utilization:A case study of China National Coal Group Corporation by Lei ZHU, Wenzhe GU, Zhiwei HE, Chengyong LIU, Mengye ZHAO, Tianqi SONG, Yun ZHANG, Yuyi WU, Zhicheng LIU, Xinfu ZHANG, Peng ZHANG, Fengtian SHENG

“…However, the comprehensive utilization method lacks systematic, compound, and leading scientific utilization methods. …”
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Information Bottleneck-Based Domain Adaptation for Hybrid Deep Learning in Scalable Network Slicing by Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle

“…In this paper, we propose a novel hybrid deep learning algorithm called IDLA (integrated deep learning with the Lagrangian method). This integrated approach aims to enhance the scalability, flexibility, and robustness of slicing resource allocation solutions by harnessing the high approximation capability of deep learning and the strong generalization of classical non-linear optimization methods. …”
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In vitro Antimicrobial Activity, Optimization, GC-MS, and In silico analysis for Anticancer Potency of Schizophyllum commune (AVNK2), An Endophyte Isolated from Nigella sativa Seed... by Shaik Mahekal Kousar, V. Krishnaveni, Amrutha V. Audipudi

“…The optimal physicochemical parameters of culture media for enhancing bioactivity were glucose as carbon, beef extract as nitrogen sources, pH 7.0, and temperature 30 °C with 21 days of incubation. …”
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