BRDF Correction in Landsat Directional Reflectance Data by Combining Optimal BRDF Archetype With Spectral Characteristics by Aojie Shen, Jie Shao, Xin Qi, Zhongzheng Zhu, Yujie Dai, Qi Zeng

“…In this study, we developed the Combining Optimal BRDF Archetype with Spectral Characteristics (COBASC) method to effectively reduce BRDF effects in Landsat directional reflectance data. …”
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Optimal Skin Prick Test Panel for Detecting Respiratory Allergens in Children: A Retrospective Study by Aykut Eşki, Gökçen Kartal Öztürk, Figen Gülen, Esen Demir

“…This study aims to identify the sensitization pattern of children in different age groups and to define the minimum number and type of allergen extracts in an SPT to detect a sensitized child.Materials and Methods:This retrospective study was conducted in the Outpatient Clinic of the Pediatric Allergy, Immunology, and Pulmonology Unit of a tertiary Children’s Hospital from October 2019 to December 2020. …”
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Optimizing industrial and domestic water consumption efficiency for sustainable growth through data envelopment analysis by Z. Bayat, J. Vives Costa, J.J. de Felipe Blanch

“…Gross domestic product and water consumption information was acquired from regional governmental sources. The analysis included input and output-oriented models to identify opportunities for efficiency improvement.FINDINGS: The results showed that Barcelona’s industrial sector achieved optimal water resource consumption efficiency with a score of 1 in both models, setting a benchmark. …”
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The justification of the optimal composition and research of a local hemostatic agent based on naturally occurring polysaccharides by V. V. Hladyshev, S. І. Sоkolovskyi, I. V. Sobko, Ugіs Kletnieks, Audrius Butkevichius

“…This composition is based on natural saccharides and incorporates a complex of antiseptic and wound-healing substances derived from natural and synthetic sources. The formulation of Plantor demonstrates optimal consistency, biopharmaceutical properties, and pharmacotechnological characteristics. …”
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Smart grid stability prediction using Adaptive Aquila Optimizer and ensemble stacked BiLSTM by Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, Mohammed Gamal Ragab, Alawi Alqushaibi, Ebrahim Hamid Sumiea

“…Traditional machine learning (ML) models often fall short in predicting the highly variable nature of smart grid operations. Methods: This study introduces an ensemble stacked bidirectional Long Short-Term Memory model enhanced by a proposed Adaptive Aquila Optimizer (AAO). …”
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An approach to the conservation of the endangered yew (Taxus baccata L.) by optimizing callus culture for taxol production by Marziyeh Sarmadi, Naser Karimi, Mohammad Hossein Mirjalili

“…It is one of the most important sources of taxol, an anti-cancer compound. This plant is an endangered species due to its low growth and regeneration and also over-harvesting. …”
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Optimizing breeding strategies for early-maturing white maize through genetic diversity and population structure. by Hellen Mawia Mukiti, Baffour Badu-Apraku, Ayodeji Abe, Idris Ishola Adejumobi, John Derera

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Role conflict, satisfaction, and performance in administrative staff at public universities: The role of optimism and sex differences. by Pedro Antonio Díaz-Fúnez, Francisco Gabriel Martín-Martín, Ana Martínez-Díaz, Carmen Salvador-Ferrer, Chiara Consiglio, Miguel Ángel Mañas-Rodríguez

“…<h4>Design and methods</h4>Data were collected from 334 employees with administrative and customer service roles at a public university (172 men and 162 women). …”
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A hybrid renewable energy system for Hassi Messaoud region of Algeria: Modeling and optimal sizing by Yacine Bourek, El Mouatez Billah Messini, Chouaib Ammari, Mohamed Guenoune, Boulerbah Chabira, Bipul Krishna Saha

“…These findings validate GA-based optimization as a superior method for designing cost-effective, reliable, and environmentally sustainable HRES, offering significant potential to reduce fossil fuel dependency in industrial applications. …”
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Optimizing extraction of microbial DNA from urine: Advancing urinary microbiome research in bladder cancer by Chuang-Ming Zheng, Ho Won Kang, Seongmin Moon, Young Joon Byun, Won Tae Kim, Yung Hyun Choi, Sung-Kwon Moon, Xuan-Mei Piao, Seok Joong Yun

“…Purpose: This study aimed to evaluate and optimize microbial DNA extraction methods from urine, a non-invasive sample source, to enhance DNA quality, purity, and reliability for urinary microbiome research and biomarker discovery in bladder cancer. …”
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Optimizing Solar Energy Harvesting: A K‐Means Clustering Approach for Enhanced Efficiency and Viability by Li Bin, Muhammad Shahzad, Muhammad Farhan, Muhammad Sanaullah Khan, Mubaarak Abdulrahman Abdu Saif, Girmaw Teshager Bitew

“…It has emerged as a primary source; however, optimizing energy utilization and solar panel efficiency to maximize absorbed solar radiation remains a significant challenge. …”
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Optimization of Laser Cutting Parameters for Mild Steel using Regression Analysis and Differential Evolution Algorithm by Sayit Özbey, İsmet Tıkız, Aysen Şimşek Kandemir

“…Using the differential evolution optimization method, the minimum surface roughness was calculated as 0.442 µm. …”
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Research on Multi-Machine Pre-Synchronization Control and Optimization Based on Parallel Recovery Black Start by Zhongping Ruan, Shuye Ding, Yizhi Chen

“…Simulation results show that the proposed method suppresses frequency overshoot and system disturbances during a multi-source black start, significantly enhancing microgrid restoration capability and operational stability.…”
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Dissolved Oxygen Prediction Based on SOA-SVM and SOA-BP Models by ZHANG Xuekun

“…To improve the accuracy of dissolved oxygen prediction,this paper researches and proposes a prediction method that combines seagull optimization algorithm (SOA) with support vector machine (SVM) and BP neural network,prepares four prediction schemes based on the monthly dissolved oxygen monitoring data of the Jinghong Power Station in Xishuangbanna,a national important water supply source in Yunnan Province,from January 2009 to September 2020,optimizes the key parameters of SVM and weight threshold of BP neural network by SOA to construct SOA-SVM and SOA-BP models,predicts the dissolved oxygen of Jinghong Power Station based on the models,and compares the prediction results with those of SVM and BP models.The results show that:The absolute values of the average relative errors of the SOA-SVM and SOA-BP models for the 4 schemes of dissolved oxygen prediction are between 4.07%~4.98% and 3.85%~4.83%,and that of the average absolute errors are 0.309~0.374 mg/L and 0.294~0.371 mg/L,respectively.With better prediction accuracy than SVM and BP models,they have good prediction accuracy and generalization ability.SOA can effectively optimize the key parameters of SVM and weight threshold of BP neural network.SOA-SVM and SOA-BP models are feasible for dissolved oxygen prediction,which can provide references for related prediction research.…”
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Practical Evaluation Framework for Real-Time Multi-Object Tracking: Achieving Optimal and Realistic Performance by Jumabek Alikhanov, Dilshod Obidov, Mirsaid Abdurasulov, Hakil Kim

“…In contrast, those who are unaware of these optimizations may only achieve a HOTA score of 10%. This finding underscores the critical advantage offered by our evaluation method. …”
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Proton Exchange Membrane Fuel Cells: An Effective Neural Fuzzy System for Optimal Power Tracking by Assala Bouguerra, Abd Essalam Badoud, Saad Mekheilef

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A diffractometer project for Brazilian Multipurpose Reactor (RMB): McStas simulations and instrument optimization by Alexandre Pinho dos Santos Souza, Luiz Paulo de Oliveira, Fabiano Yokaichiya, Frederico Antonio Genezini, Margareth Kazuyo Kobayashi Dias Franco

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An Optimal Control Strategy for DC Bus Voltage Regulation in Photovoltaic System with Battery Energy Storage by Muhamad Zalani Daud, Azah Mohamed, M. A. Hannan

“…The PSCAD/EMTDC-based simulation case studies are presented to evaluate the performance of the proposed optimized control scheme in comparison to the conventional methods.…”
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Multi-layer Embedded Optimization of Microgrid Capacity Considering Price and Incentive/Compensation Coupling Mechanism by Xianhui ZHU, Xu HU, Nan SHI, Yao ZHANG, Jingwen ZHONG

“…This study proposes a collaborative optimization idea of source and load sides by combining multiple response mechanisms to fully tap the ability of two-way interaction between supply and demand sides to stabilize the difference between source and load in the microgrid. …”
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Optimization Dispatch of Distribution Network–Prosumer Group–Prosumer Considering Flexible Reserve Resources of Prosumer by Hao Zhong, Lanfang Li, Qiujie Wang, Xueting Wang, Xinghuo Wang

“…The results show that the optimal method proposed in this paper can fully utilize flexible reserve resources from prosumers, improve the economy of distribution network operations, and reduce the pressure of providing reserves using the upper grid.…”
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