Integration of MRMR algorithm with advanced neural networks for modeling long-term crop water demand in agricultural basins by Ahmed Elbeltagi, Abdullah A. Alsumaiei, Ali Raza, Mustafa Al-Mukhtar, Salim Heddam

“…Abstract Assessing actual evapotranspiration (AET) remains a key challenge in the design of efficient irrigation systems, strategies, and schedules. …”
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Prioritized aggregation operators for Schweizer-Sklar multi-attribute decision-making for complex spherical fuzzy information in mobile e-tourism applications by Khawlah Alhulwah, Muhammad Azeem, Mehwish Sarfraz, Nasreen Almohanna, Ali Ahmad

“…We looked at a numerical example centered on efficient mobile e-tourism selection to show the effectiveness and viability of the recommended approaches. …”
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Mesoporous magnetic supported Cu complex for one-pot synthesis of 5-substituted 1H-tetrazoles in green media and the oxidation of sulfides by Somayeh Molaei, Mohammad Ghadermazi

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Enhancing Flavor Complexity in Craft Beer: Sequential Inoculation with Indigenous Non-<i>Saccharomyces</i> and Commercial <i>Saccharomyces</i> Yeasts by María Victoria Mestre Furlani, Mercedes Fabiana Vargas Perucca, Diego Bernardo Petrignani, Silvia Cristina Vergara, María José Leiva-Alaniz, Yolanda Paola Maturano, Fabio Vazquez, Eduardo Dellacassa

“…However, their lower fermentation efficiency and ethanol sensitivity limit their use. …”
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Correlation of Complex Impacted Mandibular Teeth with Pericoronitis and Effect of Minimally Invasive Tooth Extraction on Patients’ Long-term Outcome of Masticatory Ability by Tinghong Nie, Bojie Chang, Lili Tian, Shansong Cao, Junjie Wang, Haitao Qi, Lirong Gao

“…A total of 101 patients with complex impacted teeth who were treated in our hospital from March 2019 to June 2021 were selected and divided into the control group (n = 55) and the observation group (n = 46) according to the different treatment methods. …”
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TRI-POSE-Net: Adaptive 3D human pose estimation through selective kernel networks and self-supervision with trifocal tensors. by Nabeel Ahmed Khan, Aisha Ahmed Alarfaj, Ebtisam Abdullah Alabdulqader, Nuha Zamzami, Muhammad Umer, Nisreen Innab, Tai-Hoon Kim

“…The proposed technique, which is based on ResNet-50 and includes integrated Selective Kernel Network (SKNet) blocks, has proven to be efficient for feature extraction customised specifically to pose estimation scenarios. …”
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Min3GISG: A Synergistic Feature Selection Framework for Industrial Control System Security with the Integrating Genetic Algorithm and Filter Methods by Saiprasad Potharaju, Swapnali N. Tambe, G. Madhukar Rao, M. V. V. Prasad Kantipudi, Kalyan Devappa Bamane, Mininath Bendre

“…Compared to the full dataset (225 features), which yielded 97.51%, 99.93%, and 96.17%, respectively, our optimized feature subset maintained or enhanced classification performance while reducing computational complexity. This research demonstrates the effectiveness of a hybrid feature selection approach in improving ICS anomaly detection. …”
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The advantages of k-visibility: A comparative analysis of several time series clustering algorithms by Sergio Iglesias-Perez, Alberto Partida, Regino Criado

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Design of a chiral molecular pocket in a Ni(II) complex to improve stereoselectivity in the kinetic resolution of racemic epoxides with CO2 by Mikhail A. Emelyanov, Alexander V. Bachinskiy, Yana V. Derkach, Vasiliy A. Chaliy, Alexander F. Smol'yakov, Michael G. Medvedev, Aleksei A. Titov, Victor I. Maleev, Vladimir A. Larionov

“…However, one is the main challenges in this direction is the absence of the universal and efficient chiral catalytic systems for the resolution of different epoxides by CO2 with a high selectivity factor (s). …”
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Exploring early Acheulian technological decision-making: A controlled experimental approach to raw material selection for percussive artifacts in Melka Wakena, Ethiopia. by Eduardo Paixão, Tegenu Gossa, Walter Gneisinger, João Marreiros, Sören Tholen, Ivan Calandra, Erella Hovers

“…As part of the technological system, differences in raw material quality directly affect the way that humans produce, design and use stone tools. The selection, procurement and use of various raw materials requires decision-making to evaluate multiple factors such as suitability to produce and design tools, but also the materials' efficiency and durability in performing a given task. …”
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Genome-wide association studies and functional annotation of pre-weaning calf mortality and reproductive traits in Nellore cattle from experimental selection lines by Gustavo R. D. Rodrigues, Luiz F. Brito, Lúcio F. M. Mota, Joslaine N. S. G. Cyrillo, Júlia P. S. Valente, Lorena F. Benfica, João B. Silva Neto, Marcelo S. Borges, Fábio M. Monteiro, Lenira El Faro, Lucia G. Albuquerque, Maria E. Z. Mercadante

“…Conclusions These findings provide valuable information on genomic regions, candidate genes, biological processes, and metabolic pathways that may significantly influence the expression of complex reproductive traits in Nellore cattle, offering potential contributions to breeding strategies and future genomic selection strategies.…”
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Efficient removal of uranium (VI) from environmental water samples by cyclodextrin-intercalated layered double hydroxide-coated magnetic nanoparticles by Ali Esrafili, Mahnaz Ghambarian, Mahmood Yousefi, Najmeh Yazdanfar

“…The selectivity of the adsorbent was evaluated by calculating distribution coefficients for Uranium (VI) and some interfering ions. …”
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COMBINED PLASMA FILTRATION, SELECTIVE ADSORPTION OF CYTOKINES WITH HEMOFILTRATION AND PLASMA EXCHANGE IN THE CORRECTION OF PLATELET AND COAGULATION HEMOSTASIS IN PATIENTS WITH THE... by L. V. Belskikh, A. B. Zulkarnaev, I. A. Vasilenko, A. V. Vatazin

“…Aim. To improve the efficiency of treatment of the patients with pancreatic necrosis through correcting the platelet-coagulation potential by methods of combined plasma filtration, selective sorption of cytokines with hemofiltration and plasmapheresis. …”
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Deep Learning-Based Sound Source Localization: A Review by Kunbo Xu, Zekai Zong, Dongjun Liu, Ran Wang, Liang Yu

“…This work provides both theoretical foundations and technical references for algorithm selection and practical implementation in complex real-world scenarios.…”
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Optimizing automotive body panel materials: a CES EduPack analysis of lightweight alloys for sustainable performance by Athil S. Al-Ezzi, Ekhlas Edan, S. M. Anas

“…Abstract The importance of lightweight materials grows daily in automotive production since it allows manufacturers to improve efficiency and sustainability as well as fuel economy. …”
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Hyperspectral Anomaly Detection by Spatial&#x2013;Spectral Fusion Based on Extreme Value-Entropy Band Selection and Cauchy Graph Distance Optimization by Song Zhao, Yali Lv, Wen Zhang, Lijun Wang, Zhiru Yang, Gaofeng Ren, Bin Wang, Xiaobin Zhao, Tongwei Lu, Jiayao Wang, Wei Li

“…This method replaces the traditional covariance matrix with a significance-weighted Cauchy distance graph, reducing the influence of the target on the background and improving the model&#x2019;s robustness in complex environments. Subsequently, a low-rank and sparse representation model is employed to construct background dictionaries, low-rank coefficient matrices for the background, and sparse anomaly matrices, enabling effective spatial information utilization for detecting anomalous targets. …”
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THE MODERN VIEW AT POSTHUMOUS ORGAN DONATION. FSBI “ACADEMICIAN V.I. SHUMAKOV FRCTAO”, MINISTRY OF HEALTH OF THE RUSSIAN FEDERATION, EXPERIENCE by S. S. Meshcherin, L. V. Belskikh, D. N. Kruglov, A. M. Semyonova

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Analysis on the Spatiotemporal Characteristics of the Postearthquake Reconstruction Efficiency of the Extremely Earthquake-Stricken Areas by the Wenchuan Earthquake Based on the DE... by Pin Lv, Bin Liu, Mingkang Yuan, Suyue Han, Di Zhang, Lv Zhang

“…In terms of the main disaster-pregnancy environment, the terrain complexity is most closely related to fluctuation of reconstruction efficiency, with a correlation coefficient of 0.9975, followed by river network density and the lowest fault density. …”
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From hydraulic root architecture models to efficient macroscopic sink terms including perirhizal resistance: quantifying accuracy and computational speed by D. Leitner, A. Schnepf, J. Vanderborght

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FGS-YOLOv8s-seg: A Lightweight and Efficient Instance Segmentation Model for Detecting Tomato Maturity Levels in Greenhouse Environments by Dongfang Song, Ping Liu, Yanjun Zhu, Tianyuan Li, Kun Zhang

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