Robust Underwater Vehicle Pose Estimation via Convex Optimization Using Range-Only Remote Sensing Data by Sai Krishna Kanth Hari, Kaarthik Sundar, José Braga, João Teixeira, Swaroop Darbha, João Sousa

“…The proposed framework integrates three key components, each formulated as a convex optimization problem. First, we introduce a robust calibration function that unifies multiple sources of measurement error—such as range-dependent degradation, variable sound speed, and latency—by modeling them through a monotonic function. …”
Get full text

Optimizing E-Commerce Selection Under Uncertainty: A New Framework for Decision-Making With Extended Fuzzy TOPSIS by Jency Leona Edward, Palanivel Kaliyaperumal

Get full text

Green-chemistry of by-products from Sai-Nam-Phueng orange in Thailand (1): Recovering a valuable source of bioactive compounds using response surface methodology, antioxidant, and... by Kanchanok Kodchakorn, Prachya Kongtawelert

Get full text

Optimization of ultrasound assisted extraction of the Sea buckthorn leaves, characterization of the phenolic compounds, and determination of bioactive properties of the extracts by Nora Pap, Pertti Marnila, Juha-Matti Pihlava, Jenni Tienaho

“…However, non-proper processing methods can result in a decrease of the beneficial properties. …”
Get full text

Comprehensive Analysis of Soil Physicochemical Properties and Optimization Strategies for “<i>Yantai Fuji 3</i>” Apple Orchards by Zhantian Zhang, Zhihan Zhang, Zhaobo Fan, Weifeng Leng, Tianjing Yang, Jie Yao, Haining Chen, Baoyou Liu

“…Accordingly, enhancing organic and calcium source fertilizers is recommended to boost OM and Ca levels, reduce acidification, and maintain EC within optimal limits. …”
Get full text

Immunological AI Optimizer Deployment in a 330 MW Lignite-Fired Unit for NO_x Abatement by Konrad Świrski, Łukasz Śladewski, Konrad Wojdan, Xianyong Peng

“…Unlike reactive secondary methods, the combustion optimizer reshapes the combustion process to reduce emissions while improving efficiency. …”
Get full text

Performance of Various Voltage Stability Indices in a Stochastic Multiobjective Optimal Power Flow Using Mayfly Algorithm by Rebeccah Kyomugisha, Christopher Maina Muriithi, George Nyauma Nyakoe

“…The performance of voltage stability indices in the multiobjective optimal power flow of modern power systems is presented in this work. …”
Get full text

Optimizing Physical Conditioning Programs for Badminton Athletes: A Comprehensive Review of Training Strategies - A Systematic Review by Fadli Ihsan, Ahmad Nasrulloh, Sigit Nugroho, Zhanneta Kozina

“…This study seeks to systematically analyze these essential elements, driven by the imperative to comprehend critical factors for crafting optimized training programs to achieve peak performance efficiently and effectively.Materials and Methods: This study used a systematic approach to review various literature sources, journal articles, and empirical studies related to the achievements of badminton athletes at the international level. …”
Get full text

Comprehensive evaluation and scenario simulation for determining the optimal conservation priority of ecological services in Danjiangkou Reservoir Area, China by Pengcheng Zhao, Lihui Wang, Yuhong Huang, Yifan Zhao, Qichi Yang, Jinliang Huang, Yun Du, Feng Ling

“…This study offers new insights into the quantification and visualization of the identification of optimal conservation priority. The outcomes serve as a reference for informing the protection and management strategies of water source areas and regions with a high supply of ESs.…”
Get full text

Optimal dispatching of integrated agricultural energy system considering ladder-type carbon trading mechanism and demand response by Liai Gao, Fan Fei, Yuchen Jia, Peng Wen, Xianlong Zhao, Hua Shao, Tianle Feng, Limin Huo

“…Finally, the model is solved by CPLEX, and the coupling system of a 6-node power distribution network, a 6-node gas network, and a 4-node heat supply network is used to verify the effectiveness of the proposed model and method and optimize the operation of the integrated agricultural energy system.…”
Get full text

Gaussian Process Regression Total Nitrogen Prediction Based on Data Decomposition Technology and Several Intelligent Algorithms by WANG Yongshun, CUI Dongwen

“…Total nitrogen (TN) is one of the important indicators to reflect the degree of water pollution and measure the eutrophication status of lakes and reservoirs.To improve the accuracy of TN prediction,based on the empirical wavelet transform (EWT) and wavelet packet transform (WPT) decomposition technology,this paper proposes a Gaussian process regression (GPR) prediction model optimized by osprey optimization algorithm (OOA),rime optimization algorithm (ROA),bald eagle search (BES) and black widow optimization algorithm (BWOA) respectively.Firstly,the TN time series is decomposed into several more regular subsequence components by EWT and WPT respectively.Then,the paper briefly introduces the principles of OOA,ROA,BES,and BWOA algorithms and applies OOA,ROA,BES,and BWOA to optimize GPR hyperparameters.Finally,EWT-OOA-GPR,EWT-ROA-GPR,EWT-BES-GPR,EWT-BWOA-GPR,WPT-OOA-GPR,WPT-ROA-GPR,WPT-BES-GPR,WPT-BWOA-GPR models (EWT-OOA-GPR and other eight models for short) are established to predict the components of TN by the optimized super-parameters.The final prediction results are obtained after reconstruction,and WT-OOA-GPR,WT-ROA-GPR,WT-BES-GPR and WT-BWOA-GPR models based on wavelet transform (WT) are built.Eight models,including EWT-OOA-SVM based on support vector machine (SVM),the paper compares the unoptimized EWT-GPR,WPT-GPR models,and the uncomposed OOA-GPR,ROA-GPR,BES-GPR,and BWOA-GPR models.The models were verified by the monitoring TN concentration time series data of Mudihe Reservoir,an important drinking water source in China,from 2008 to 2022.The results are as follows.① The average absolute percentage error of eight models such as EWT-OOA-GPR for TN prediction is between 0.161% and 0.219%,and the coefficient of determination is 0.999 9,which is superior to other comparison models,with higher prediction accuracy and better generalization ability.② EWT takes into account the advantages of WT and EMD.WPT can decompose low-frequency and high-frequency signals at the same time.Both of them can decompose TN time series data into more regular modal components,significantly improving the accuracy of model prediction,and the decomposition effect is better than that of the WT method.③ OOA,ROA,BES,and BWOA can effectively optimize GPR hyperparameters and improve GPR prediction performance.…”
Get full text

Statistical Optimization of Culture Medium for Maximal Growth of Novel Aquaculture Probiotic Strain Priestia paraflexa ONG1 by R. Sherlin Chandana Mary, S. Illanjiam

“…This investigation intended to optimize the culture medium for Priestia paraflexa ONG1, a fish probiotic, by combining conventional methods with factorial experimental designs. …”
Get full text

Isolation and Optimization of Phages Infecting Members of the <i>Streptococcus bovis</i>/<i>Streptococcus equinus</i> Complex by Jenny Laverde Gomez, Cory Schwarz, Marina Tikhonova, Clark Hamor, Yizhi J. Tao, Pedro J. J. Alvarez, Jacques Mathieu

“…Background: Cattle production is a cornerstone of U.S. agriculture but faces increasing pressure to balance profitability with environmental sustainability. Optimizing the ruminal microbiome to enhance feed efficiency could help address both challenges. …”
Get full text

Streptomyces griseorubens as a microbial cell factory for extracellular uricase production and bioprocess optimization using statistical approach by Noura El-Ahmady El-Naggar, Sara M. El-Ewasy, Nancy M. El-Shweihy

“…Methods Streptomyces sp. strain NEAE-5 demonstrated a significant capacity for uricase production was identified based on the physiological, morphological and biochemical characteristics, as well as 16S rDNA sequencing analysis. …”
Get full text

Optimization of Protein Extraction from Sunflower Meal Using Taguchi Design and Regression Modeling for Human Nutrition Applications by Anca Becze, Marin Senila, Lacrimioara Senila, Lucian Dordai, Oana Cadar, Vanda Liliana Fuss-Babalau, Marius Roman, Levente Levei, Paul Uiuiu, Mihai Octavian Naghiu

“…Mechanical stirring, ultrasound-assisted, and CO₂-assisted extraction methods were evaluated, with mechanical stirring selected for optimization due to its scalability and energy efficiency. …”
Get full text

Optimizing Cost-Effective Larval Diets for Mass Rearing of <i>Aedes</i> Mosquitoes in Vector Control Programs by Qianqian Li, Tongxin Wei, Yan Sun, Jehangir Khan, Dongjing Zhang

“…This study evaluated the effects of three larval diets on key fitness traits, including pupation rate, male flight ability, adult longevity, female fecundity, pupal size, and wing length, which are critical for the success of SIT and IIT programs. (2) Methods: <i>Ae. albopictus</i> (GT strain) and <i>Ae. aegypti</i> (AEG strain) were reared on three diets with varying protein sources: diet 1 (≈1.23 dollars/kg; porcine liver/shrimp/yeast = 6:3:1), the IAEA-recommended diet; diet 2 (≈1.78 dollars/kg; bovine liver/shrimp/yeast = 6:3:1), a modified IAEA diet; and diet 3 (≈0.55 dollars/kg; tortoise food), a low-cost laboratory formulation. …”
Get full text

Optimizing oral 3-hydroxybutyrate dosage using pharmacokinetic model to improve cognitive function and mood in healthy subjects by Kentaro Nishioka, Kentaro Nishioka, Kentaro Nishioka, Takahiro Ishimoto, Mariko Sato, Ruki Yasuda, Yumi Nakamura, Hiroshi Watanabe, Toshihide Suzuki, Yudai Araragi, Yukio Kato, Ken-ichi Yoshida, Norihito Murayama

“…Previous studies indicated that achieving a maximum concentration (Cmax) of 3-HB in plasma at 0.28 mM could initiate ketone metabolism in the brain; we hypothesized that attaining this Cmax would improve brain health.MethodsWe aimed to demonstrate the efficacy of an optimized single oral dose of 3-HB on cognitive function and mood through two clinical studies: a pharmacokinetic study and an efficacy study. …”
Get full text

Risk–Cost Equilibrium for Grid Reinforcement Under High Renewable Penetration: A Bi-Level Optimization Framework with GAN-Driven Scenario Learning by Feng Liang, Ying Mu, Dashun Guan, Dongliang Zhang, Wenliang Yin

“…Spatial congestion maps and scenario risk-density plots further illustrate the ability of adversarial learning to reveal latent structural bottlenecks not captured by conventional methods. This work offers a new methodological paradigm, in which optimization and generative AI co-evolve to produce robust, data-aware, and stress-responsive transmission infrastructure designs.…”
Get full text

An evaluation and optimization of nutrition, environmental footprint, and food waste in Italian primary school menus: a case study by Giorgia Vici, Debora Giustozzi, Dalia Camilletti, Silvia Zufolino, Laura Malandrino, Sofia Renzi, Stefania Pucciarelli, Silvia Vincenzetti, Luca Belli, Valeria Polzonetti

“…Methods This case study involves the nutritional assessment analysis of the canteen menus (the baseline and the revised one) to evaluate energy and macronutrient intake. …”
Get full text

Kneeliverse: A universal knee-detection library for performance curves by Mário Antunes, Tyler Estro, Pranav Bhandari, Anshul Gandhi, Geoff Kuenning, Yifei Liu, Carl Waldspurger, Avani Wildani, Erez Zadok

“…Kneeliverse further includes Z-Method, a recently developed algorithm specifically designed for multi-knee detection.…”
Get full text