Evaluation and estimation of changes in water quality using zoning map and researchers-developed software (case study: Pir-Bazar river) by Majid Homami, Seyed Ahmad Mirbagheri, Seyed Mehdi Borghei, Madjid Abbaspour

“…In this research, zoning maps were prepared and the status of present and future water quality parameters of the basin were accurately estimated using a researchers software-developed application and the five interpolation methods of Kriging, S-PLUS, polynomial regression, inverse distance to power, and local polynomial; and finally the optimal method was selected through a root-mean-square error (RMSE) based cross validation approach.  …”
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Revolutionizing Molecular cloning: Introducing FastCloneAssist, a Streamlined Python tool for optimizing primer design in restriction & ligation-independent PCR cloning. by Pradip Kumar Singh, Michael S Donnenberg

“…FastCloning, a paradigm shift in PCR cloning, has streamlined the process by eliminating laborious, multi-step traditional methods. This innovative technique, pioneered by Li et al. (2011), utilizes overlapping PCR primers and DpnI digestion for seamless integration of insert DNA into any desired vector position, regardless of restriction sites. …”
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Diagnosis Method for High-Speed Train Axle Box Bearing Slight Faults Based on Improved SAE and Temperature-Vibration Fusion by XU Xiao, SONG Dongli, WANG Zifan

“…［Objective］ The operating environment of axle box bearings in high-speed train is complex and changeable, and the diagnostic accuracy of single-source signals for weak faults is insufficient. To improve the diagnostic accuracy of early weak fault of axle box bearing, it is necessary to study a diagnosis method for high-speed train axle box bearing slight fault driven by temperature-vibration feature fusion, in combination with the multi-source fault information of bearing temperature and vibration. …”
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A tool for automatic parallelization of affine programs for systems with shared and distributed memory by Sh. G. Magomedov, A. S. Lebedev

“…The implementation of developed methods is done in Haskell within the source-to-source translator performing automatic parallelization. …”
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Identifying optimal primary prevention interventions for major cardiovascular disease events and all-cause mortality: a systematic review and hierarchical network meta-analysis of... by Olalekan A Uthman, Rachel Court, Jodie Enderby, Chidozie Nduka, Lena Al-Khudairy, Seun Anjorin, Hema Mistry, G J Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

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Spatial Modeling of Trace Element Concentrations in PM₁₀ Using Generalized Additive Models (GAMs) by Mariacarmela Cusano, Alessandra Gaeta, Raffaele Morelli, Giorgio Cattani, Silvia Canepari, Lorenzo Massimi, Gianluca Leone

“…A stepwise procedure was followed to determine the model with the optimal set of covariates. A leave-one-out cross-validation method was used to estimate the prediction error. …”
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Green Extraction Methods Applied to the Brown Macroalga <i>Saccharina latissima</i>: Assessing Yield, Total Phenolics, Phlorotannins and Antioxidant Capacity by Jonas da Silva, Luana Cristina dos Santos, Elena Ibañez, Sandra Regina Salvador Ferreira

“…The brown seaweed <i>Saccharina latissima</i> is an abundant, although yet underutilized, source of natural bioactive compounds commonly found in western regions. …”
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Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm by Raji Krishna, Hemamalini S

“…Its reliability depends on variable renewable output and load demand, while an energy management system optimizes power scheduling and reduces costs. In the first phase of this paper, uncertainty parameters like day‐ahead power from renewable energy sources (RES) and load demand (LD) are forecasted using the long short‐term memory (LSTM) deep learning algorithm. …”
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Frequency regulation of PV-reheat thermal power system via a novel hybrid educational competition optimizer with pattern search and cascaded PDN-PI controller by Serdar Ekinci, Davut Izci, Ozay Can, Mohit Bajaj, Vojtech Blazek

“…Maintaining a stable balance between generated power and load demand is a critical challenge in modern power systems, especially with the increasing integration of renewable energy sources like photovoltaic (PV) systems. This study introduces a novel hybrid educational competition optimizer with pattern search (hECO-PS) algorithm to optimally tune a cascaded proportional-derivative with filter and proportional-integral (PDN-PI) controller for load frequency control (LFC) in a two-area power system comprising a PV system and a reheat thermal power system. …”
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Optimal Sizing, Techno-Economic Feasibility and Reliability Analysis of Hybrid Renewable Energy System: A Systematic Review of Energy Storage Systems&#x2019; Integration by Akhlaque Ahmad Khan, Ahmad Faiz Minai, Rakesh Kumar Godi, Vijay Shankar Sharma, Hasmat Malik, Asyraf Afthanorhan

“…One of the most significant ways to improve energy reliability and lessen reliance on fossil fuels is to combine renewable energy sources with energy storage systems. Using wind, solar, and battery storage as case studies, the article examines hybrid renewable energy system (HRES) size, optimization, techno-economic potential, and reliability in extensive detail. …”
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Overview of mechanisms related to citrulline malate supplementation and different methods of high-intensity interval training on sports performance: A narrative review by Hadi Nobari, Laya Samadian, Saber Saedmocheshi, Pablo Prieto-González, Christopher MacDonald

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Experimental Investigation into the Design, Optimization, Toxicity, and Anti-Viral Efficacy of Proliposomes Loaded with Ivermectin Against Infectious Bronchitis Virus Using an Embr... by Mohammad H. Alyami, Hamad S. Alyami, Asmaa M. Abdo, Shereen A. Sabry, Shimaa M. G. Mansour, Hanan M. El-Nahas, Margrit M. Ayoub

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Efficient thermal integration model based on a biogas-fired gas turbine cycle (GTC) for electricity and desalination applications; thermo-economic and GA-based optimization by Amr S. Abouzied, Sarminah Samad, Azher M. Abed, Mohamed Shaban, Fahad M. Alhomayani, Shirin Shomurotova, Mohammad Sediq Safi, Raymond Ghandour, Yasser Elmasry, Albara Ibrahim Alrawashdeh

“…The significance of this study lies in its comprehensive approach, combining thermodynamic, environmental, and thermoeconomic analyses alongside thorough sensitivity evaluations. A triple optimization framework was implemented to optimize the system's performance, focusing on key metrics such as exergy efficiency, CO2 reduction rates, and levelized energy cost, utilizing the NSGA-II and the TOPSIS decision-making method in MATLAB software. …”
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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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Track Alignment and Construction Method Comparison for Adding Stations to Long Metro Intervals in Loess Strata during Preliminary Design Stage by ZHOU Dingheng, ZHU Zhenlie, GAO Shengmiao, HOU Chunshan, LIU Jian, ZOU Yongxiang

“…[Objective] To optimize the track-station alignment and construction methods for adding metro stations to long metro intervals in loess strata, a comparative study on economic efficiency and safety is required. …”
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Classification of Paddy Rice Planting Area Through Feature Selection Method Using Sentinel-1/2 Time Series Images by Shiyu Zhang, Pengao Li, Yong Xie, Wen Shao, Xueru Tian

“…Therefore, this study took Liyang City as the study area, reconstructed Sentinel-2 cloud-free time series optical images, and extracted spectral features, vegetation indexes, and other features, in combination with the polarization features of the Sentinel-1 time series radar images. The optimal feature subset was selected through the feature selection method, and machine learning algorithms were optimized for paddy rice planting area classification. …”
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Regression Analysis in Development of Method for Isolation and Quantitative Determination of Water-soluble Polysaccharides from Sunflower Roots of One-year-old by N. A. Dyakova

“…The aim of this study is to select optimal parameters of ultrasonic extraction of water-soluble polysaccharides from sunflower roots of oneyear old based on regression analysis.Materials and methods. …”
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Development of a permethylation-based detection method for oligo/polysialic acid structures via tandem MALDI-TOF mass spectrometry by Kai Suzuki, Di Wu, Ken Kitajima, Nao Yamakawa, Takayuki Omoto, Masaya Hane, Chihiro Sato

“…For the first time, the analysis of intact oligo/polySia structures with O-linked glycans were successfully detected using MALDI-TOF/TOF MS/MS with this optimized permethylation method.…”
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Synthesis and optimization of low-cost metal-organic frameworks from melamine and bauxite for efficient removal of bromocresol green from water using response surface methodology by Mahdieh Chegeni, Mohanna Chegeni, Maedeh Nazari, Ghazal Ebrahim Zade

“…Sustainable chemistry is an important subject in the research area, so the metal-organic framework (MOF) was synthesized through the solvothermal method with bauxite as a natural source of metal and melamine as a ligand. …”
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Systemic model of segregation and transformation of urban solid waste by Alex Rengifo Rojas, Nelino Florida Rofner, Luis Morales y Chocano, José Raúl Rodríguez Lichtenheldt, Julio Pedro Atoche Cornejo

“…In addition, for effective management of the system, it is essential to raise awareness and train the population in practices of segregation at source, recycling and reuse, thus optimizing the economic and environmental benefits of an adequate final disposal of the waste generated.…”
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