Investigating the adsorption of volatile organic compounds from kerosene using clinoptilolite (natural zeolite) modified by cationic surfactant cetyltrimethylammonium bromide by Motahareh Majidi Trojeni, Abdolraouf Samadi-Maybodi, Haniyeh Shafiei

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Do Teachers’ Beliefs Turn to Practice? Countryside Secondary School Science Teachers’ Teaching Beliefs, Scientific Epistemological Beliefs, and Approaches to Teaching by Reymund Derilo

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Mapping of cotton bolls and branches with high-granularity through point cloud segmentation by Lizhi Jiang, Javier Rodriguez-Sanchez, John L. Snider, Peng W. Chee, Longsheng Fu, Changying Li

“…The results highlight that the accuracy and mean intersection over union (mIoU) of the 2-class segmentation based on PointNet++ reached 0.954 and 0.896 on the whole plant dataset, and 0.968 and 0.897 on the branch dataset, respectively. The coefficient of determination (R2) for the boll counting was 0.99 with a root mean squared error (RMSE) of 5.4. …”
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Genetic transformation of the oilseed crop camelina using immature zygotic embryos by Barno Ruzimurodovna Rezaeva, Ingrid Otto, Götz Hensel, Pouneh Pouramini, Anton Peterson, Jochen Kumlehn

“…Primary transgenics examined in detail featured one to three T-DNA integration loci, with one to seven T-DNA copies being integrated in total per plant. The established method proved efficient across all three tested accessions including two current cultivars, whereby transformation efficiencies, determined as PCR-positive primary transgenic plants related to agro-inoculated explants, of between 13 and 17% were obtained. …”
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Rapid quantification of whole seed fatty acid amount, composition, and shape phenotypes from diverse oilseed species with large differences in seed size by Matthew G. Garneau, Prasad Parchuri, Nora Zander, Philip D. Bates

“…Conclusions New rapid whole seed fatty acid esterification and phenotyping protocols were developed to accurately assess oilseed lipid content. These methods are particularly valuable in oilseed research, breeding, and engineering applications where efficient analysis of large numbers of samples and accurate oil fatty acid profiling is essential. …”
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Modified QuEChERS for antiepileptic drugs detection in forensic toxicology by Ahmad Shekari, Jalal Hassan, Mohammad Kazem Koohi, Masoud Ghadipasha, Maryam Akhgari

“…The equation of linear calibration curve was obtained with regression coefficient > 0.99. Detection limits were in the range of 0.21–0.38 ng/mL. • This method is inexpensive and fast for determination of antiepileptic drugs in serum • This method has high thought of sample determination. • This method is green chemistry method.…”
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Meteorological drought severity forecasting utilizing blended modelling by Aaditya Ahire, Nilima Zade, Umeed Mujawar, Dimple Mehta, Ketan Kotecha

“…With the large meteorological dataset that involves temperature, precipitation, humidity, and wind speed as features, the model integrates: • The tree capabilities of XGBoost perform feature selection very effectively. • Temporal Pattern Analysis using LSTM. • Insight obtained from the attention mechanism-based TabNet.Empirical results demonstrate that the proposed ensemble outperforms individual models, achieving the lowest Root Mean Square Error (RMSE: 0.6582) and Mean Absolute Error (MAE: 0.5377), and the highest Coefficient of Determination (R²: 0.5069). Furthermore, it yields the best Nash–Sutcliffe Efficiency (NSE: 0.5107) and Kling–Gupta Efficiency (KGE: 0.6039), confirming its superiority in drought severity forecasting. …”
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Multi-objective optimization of laser machining parameters for carbon-glass reinforced hybrid composites: Integrating gray relational analysis, regression, and ANN by Ashish A Desai, S.N. Khan, Pooja Bagane, Sagar Dnyandev Patil

“…When linked together, these methods enable efficient multi-objective optimization, which enhances laser cutting operations for CGFRP materials in terms of accuracy and economy. …”
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Near-Infrared Spectroscopy for Growth Estimation of <i>Spirulina platensis</i> Cultures by Lamprini Malletzidou, Eleni Kyratzopoulou, Nikoletta Kyzaki, Evangelos Nerantzis, Nikolaos A. Kazakis

“…The calibration curve of diffuse reflectance at 1062.6 nm in response to dilution presented strong linearity, supported by a coefficient of determination (R²) of 0.995. …”
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Enhancing network lifetime in WSNs through coot algorithm-based energy management model by Namita Shinde, Dr. Vinod H․ Patil

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Rainfall-runoff modeling of urban floods using GIS and HEC-HMS by Priyanka Sharad Jawale, A.D. Thube

“…The model’s accuracy in predictions was enhanced through model calibration. The coefficient of determination (R2) exhibited 4.14 % increment improvement being raised from 0.67 to 0.699. …”
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Molecular Tools for <i>Lynx</i> spp. qPCR Identification and STR-Based Individual Identification of Eurasian Lynx (<i>Lynx lynx</i>) in Forensic Casework by Karolina Mahlerová, Johana Alaverdyan, Lenka Vaňková, Daniel Vaněk

“…The Eurasian lynx (<i>Lynx lynx</i>) is listed in CITES Appendix II and is protected under the Bern Convention and the EU Habitats Directive, yet it remains a frequent target of wildlife crime, highlighting the urgent need for reliable identification methods. This study focuses on determination and DNA quantification of the <i>Lynx</i> spp. using quantitative real-time PCR (qPCR). …”
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In vitro micropropagation protocols for two endangered Dianthus species - via in vitro culture for conservation and recultivation purposes by Dóra Farkas, Judit Csabai, Angéla Kolesnyk, Pál Szarvas, Judit Dobránszki

“…Conclusions In vitro micropropagation methods were developed for two endangered Dianthus species (D. giganteiformis subsp. pontederae and D. superbus subsp. superbus) by determining the optimal type of cytokinin to be used during the multiplication phase. …”
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Automated pipeline for leaf spot severity scoring in peanuts using segmentation neural networks by Joshua Larsen, Jeffrey Dunne, Robert Austin, Cassondra Newman, Michael Kudenov

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Resin‐coated urea effectively simulates the chronic dynamics of natural nitrogen deposition by Yi Zhao, Yuguang Ke, Honghui Wu, Chong Xu, Xiwen Li, Yann Hautier, Elizabeth T. Borer, Qiang Yu

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A Mathematical Model for Transmission of Taeniasis and Neurocysticercosis by Gideon Eustace Rwabona, Verdiana Grace Masanja, Sayoki Mfinanga, Abdoelnaser Degoot, Silas Mirau

“…On the other hand, the disease-free equilibrium was determined to be globally stable when R0<1. To identify the most influential parameters of the proposed model, partial correlation coefficient techniques were used. …”
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A single entomopathogenic nematode infection assay for Drosophila melanogaster larvae by Sreeradha Mallick, Eric Kenney, Jacob Rashap, Ioannis Eleftherianos

“…The entomopathogenic nematodes (EPNs) Steinernema carpocapsae and Steinernema hermaphroditum can efficiently infect the fruit fly, Drosophila melanogaster. …”
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An automated in-field transport and imaging chamber system for high-throughput phenotyping of potted soybean by Xiuni Li, Menggen Chen, Shuyuan He, Mei Xu, Yao Zhao, Weiguo Liu

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Optimizing energy constrained target localization and tracking with radial bias and seeker optimization algorithms in wireless sensor networks by S. Yazhinian, S. Famila, P. Jose, Mahendar A, Sofia R

“…By integrating these two methodologies, ensures a balance between precision in tracking and energy efficiency. Extensive simulations shown this technique surpasses existing methods in terms of both accuracy in determining the location and the duration of network operation. …”
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In situ nondestructive identification of citrus fruit ripeness via hyperspectral imaging technology by Qi Wang, Jinzhu Lu, Yuanhong Wang, Fajun Miao, Senping Liu, Qiyang Shui, Junfeng Gao, Yingwang Gao

“…Abstract Rapid and accurate assessment of the citrus ripening stage in the field is important for determining harvest timing and improving industrial economic efficiency; however, the lack of effective nondestructive detection methods in the current orchard leads to flaws in ripening stage assessment, which affects harvesting decisions. …”
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