Revisiting the Group Classification of the General Nonlinear Heat Equation <i>u_t</i> = (<i>K</i>(<i>u</i>)<i>u_x</i>)<i>_x</i> by Winter Sinkala

“…Group classification is a powerful tool for identifying and selecting the free elements—functions or parameters—in partial differential equations (PDEs) that maximize the symmetry properties of the model. …”
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Photocatalytic degradation of iron chelates fertilizers under UV light: a rapid evaluation for hydroponic growing systems by Alejandra Arcas, Silvia Valverde, Juan José Lucena, Sandra López-Rayo

“…The developed compact photocatalytic system has proven to be an effective tool for predicting the photochemical stability of Fe chelates, offering valuable insights for optimizing their use in soilless growing systems. …”
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Supervised machine learning prediction and investigation of nonlinear optical rectification in Ge/Si0.15Ge0.85 asymmetric coupled triangle quantum wells by A. Cherni, N. Yahyaoui, N. Zeiri, M.L. Bouazizi, M.Al. Zahrani

“…This methodology provides an effective and efficient tool for the design and optimization of ADTQW in future photonic engineering applications.…”
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Associations between number of steps and health outcomes in children and adolescents: a systematic review and meta-analysis by Stefan Stojanović, Olena Andrieieva, Nebojša Trajković

“…Secondary outcomes were psychological/psychosocial parameters (sleep habits, i.e. quality of life). We assessed the methodological quality of each trial using AXIS quality assessment tool. …”
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Surfactant representation using COSMO screened charge density for adsorption isotherm prediction using Physics-Informed Neural Network (PINN) by Achmad Anggawirya Alimin, Kattariya Srasamran, Wanutchaya Yuenyong, Ampira Charoensaeng, Bor-Jier Shiau, Uthaiporn Suriyapraphadilok

“…This approach extends conventional models, which are often limited to empirical parameters or fewer variables. This physics-informed framework significantly enhances the understanding of surfactant-solid interactions and offers a robust predictive tool for optimizing surfactant formulations, aiming to minimize adsorption losses in chemical enhanced oil recovery and environmental remediation.…”
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Frequency-Dependent Anisotropic Electromagnetic Responses of Fractured Reservoirs with Various Hydrate Distributions Based on Numerical Simulation by Shengbiao Liu, Gaowei Hu, Qingtao Bu, Yapeng Zhao, Zhiwen Sun

“…., conductivity, relative permittivity, and dielectric loss factor) have been developed into an important tool to accurately assess the hydrate-bearing reservoirs. …”
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An Experiment on Multi-Angle Sun Glitter Remote Sensing of Water Surface Using Multi-UAV by Chen Wang, Huaguo Zhang, Guanghong Liao, Wenting Cao, Juan Wang, Dongling Li, Xiulin Lou

“…Unmanned aerial vehicle (UAV) remote sensing has become an important tool for modern remote sensing technology with its low cost and high flexibility. …”
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A portable soil surface roughness instrument for automatic two-dimensional profile roughness measurement in the field by Gang Sun, Xiu Wang, Shuai Gao, Jinmei Pan, Qinhuo Liu, Wenjiang Huang

“…Soil surface roughness, characterized by the unevenness of the soil surface, is a critical parameter influencing radar backscatter coefficients and microwave emissivity, and is essential for applications in agriculture, soil science, climate modeling, and geology. …”
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Determinants of dementia risk among older adults with probable sarcopenia and sarcopenia by Nur Indrawaty Lipoeto, Divya Vanoh, Desmawati Desmawati, Wan Rosli Wan Ishak, Rosminah Mohamed

“…Dementia risk was assessed using the Montreal Cognitive Assessment (MoCA) tool. Adjusted binary logistic regression was employed to identify the factors associated with dementia among probable sarcopenia and sarcopenia older adults. …”
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Between Development, Growth and Survival: Some Current Features of Iran’s Model of Socio-Economic Development by N. A. Kozhanov

“…To answer this question, the paper analyzes the main economic challenges facing the country’s leadership and the extent to which the goals and priorities of the implemented “resistance economy” doctrine provide an adequate response to them. As a theoretical tool, the author employs the ideas of M. Todaro, A. …”
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The research of ARIMA, GM(1,1), and LSTM models for prediction of TB cases in China. by Daren Zhao, Huiwu Zhang, Qing Cao, Zhiyi Wang, Sizhang He, Minghua Zhou, Ruihua Zhang

“…Its prediction results can act as a predictive tool for TB prevention measures in mainland China.…”
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LASSIM-A network inference toolbox for genome-wide mechanistic modeling. by Rasmus Magnusson, Guido Pio Mariotti, Mattias Köpsén, William Lövfors, Danuta R Gawel, Rebecka Jörnsten, Jörg Linde, Torbjörn E M Nordling, Elin Nyman, Sylvie Schulze, Colm E Nestor, Huan Zhang, Gunnar Cedersund, Mikael Benson, Andreas Tjärnberg, Mika Gustafsson

“…Here, we present large-scale simulation modeling (LASSIM), which is a novel mathematical tool for performing large-scale inference using mechanistically defined ordinary differential equations (ODE) for gene regulatory networks (GRNs). …”
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Sparse coding-based multiframe superresolution for efficient synchrotron radiation microspectroscopy by Yasuhiko Igarashi, Naoka Nagamura, Masahiro Sekine, Hirokazu Fukidome, Hideitsu Hino, Masato Okada

“…This approach offers enhanced image quality, reduced exposure times, and improved interpretability of scientific data, making it a versatile tool for overcoming the challenges associated with radiation damage and sample degradation in nanoscale imaging.…”
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Extracting information from free-text electronic patient records to identify practice-based evidence of the performance of coronary stents. by Yoon Seob Kim, Dukyong Yoon, JungHyun Byun, Hojun Park, Ahram Lee, Il Hyun Kim, Sukhoon Lee, Hong-Seok Lim, Rae Woong Park

“…<h4>Materials and methods</h4>We developed a text mining tool based on regular expression and applied it to PCI reports stored in the electronic health records (EHRs) of Ajou University Hospital from 2010-2014. …”
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Cytometric and morphological characterization of hemocytes from four species of freshwater decapod crustaceans by Paula Sofía Reyes, Carlos Leandro Negro, Diana Alberto, María Florencia Viozzi, Veronica Williner

“… Characterization and classification of invertebrate hemocytes is a powerful tool for determining the physiological effect of environmental stress. …”
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The potential impact of improving appropriate treatment for fever on malaria and non-malarial febrile illness management in under-5s: a decision-tree modelling approach. by V Bhargavi Rao, David Schellenberg, Azra C Ghani

“…<h4>Methods</h4>A decision-tree tool was developed to investigate the impact of improving aspects of the fever care-pathway and also evaluate the impact in Tanzania of the revised WHO malaria guidelines advocating diagnostic-led management.…”
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Forças de corte ortogonal 90-90 em três espécies de madeira de eucalipto do estado de São Paulo Orthogonal 90-90 cutting forces for three wood species of Eucalyptus by Antônio Carlos Néri, Raquel Gonçalves, Roger E. Hernandez

“…<br>Orthogonal cutting force is a fundamental parameter to design cutting tools and to determine to the required power necessary to operate a sawmill. …”
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A One-Step Reverse Transcription PCR Assay for the Detection of Transmissible Gastroenteritis Virus Genome in Pigs by Fateh Singh, Katherukamem Rajukumar, Dhanapal Senthilkumar, Govindarajulu Venkatesh, Gopal Sarkar, Jaswant Patel, Rohit Sahu, Nourin Khan, Atul Kumar Pateriya, Vijendra Pal Singh, Aniket Sanyal

“…This one-step RT-PCR assay proved to be both sensitive and specific for TGEV genomic detection, offering a reliable diagnostic tool for future outbreaks and subsequent monitoring of TGE.…”
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LeafGen: Leaf generation in 3D tree models by Pietari Mönkkönen, Wouter Van den Broeck, Simo Ali‐Löytty, Kim Calders, Pasi Raumonen

“…LeafGen provides an easily accessible and low‐entry tool for ecological research, enabling precise control over leaf attributes and their distribution. …”
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Paleomagnetic secular variation provides the timescale for the eruptive sequence of the 45 ka Shikotsu caldera-forming eruption by Nobutatsu Mochizuki, Takeshi Hasegawa, Chisato Anai, Darren M. Gravley, Mitsuhiro Nakagawa, Mizuho Amma-Miyasaka, Hidetoshi Shibuya

“…The ash matrix samples of the pyroclastic deposits, predominantly composed of juvenile material, were collected into aluminum and plastic cubes, which were precisely oriented using an originally designed tool set. As a result, the obtained paleomagnetic directions have high precision parameters (k = 200–1400) and small 95% confidence intervals (α95 = 2–4°). …”
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