Machine learning frameworks to accurately predict coke reactivity index by Ayat Hussein Adhab, Morug Salih Mahdi, Krunal Vaghela, Anupam Yadav, Jayaprakash B, Mayank Kundlas, Ankur Srivastava, Jayant Jagtap, Aseel Salah Mansoor, Usama Kadem Radi, Nasr Saadoun Abd, Samim Sherzod

“…Precisely forecasting coke reactivity index (CRI) plays a critical role in the metallurgical industry, as it enables optimization of coke quality, leading to cost-effective production and efficient resource utilization. In this research, several machine learning predictive models based on extra trees, decision tree, support vector machine, random forest, multilayer perceptron artificial neural network, K-nearest neighbors, convolutional neural network, ensemble learning, and adaptive boosting using a dataset gathered from a coke plant are developed to predict CRI. …”
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The Microstructures of <i>Tetradesmus obliquus</i> Biofilms Formed Under Different Nutrient Supplies by Hu Zhang, Guan Chen, Zhiying Sun, Xinru Zhang, Zeyi Jiang, Xinxin Zhang

“…The microstructures of microalgae biofilms affect biofilms’ growth, which is critical in developing efficient microalgae biofilm-based culture systems. …”
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Enhanced Numerical Simulation Study of Accelerated Demulsification in Dilute Emulsions under Pulsed Electric Field Control by Y. Wu, H. Wang, X. Zhang

“…The improved bidirectional triangular pulsed electric field shows enhanced efficiency relative to that of either the DC pulsed or the unidirectional triangular pulsed electric field. …”
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A Versatile Reporter Platform for Evaluating HDR- and NHEJ-Based Genome Editing in Airway Epithelial Cell Cultures Using an rAAV Vector by Soo Yeun Park, Zehua Feng, Xiujuan Zhang, Yinghua Tang, Donovan Richart, Kai E. Vorhies, Jianming Qiu, John F. Engelhardt, Ziying Yan

“…We also established a versatile human gene editing reporter (GER) airway basal cell line capable of multipotent differentiation, enabling real-time visualization of editing outcomes and the quantitative assessment of HDR- and NHEJ-based editing efficiencies. …”
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MAMNet: Lightweight Multi-Attention Collaborative Network for Fine-Grained Cropland Extraction from Gaofen-2 Remote Sensing Imagery by Jiayong Wu, Xue Ding, Jinliang Wang, Jiya Pan

“…This framework integrates a lightweight encoder, a global–local Transformer decoder, and a bidirectional attention architecture to achieve efficient and accurate farmland information extraction. …”
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Multi-omics for unveiling potential antidiabetic markers from red, green and black mung beans using NIR-UPLC-MS/MS multiplex approach by Dina S. Ghallab, Reham S. Ibrahim, Doaa A. Ghareeb, Nihal M. El Newehy

“…Equally important, NIR spectroscopic analysis coupled with PLS-R model quantitively predicted the bio-efficient markers from various mung bean samples with a significant level of experimental reliability. …”
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Symmetrical Modular Optical Phased Array With Combined Spatial and Amplitude Modulation for Scalable Indoor Wireless Networks by Kosala Herath, Malin Premaratne, Sharadhi Gunathilake, Ampalavanapillai Nirmalathas

“…This evaluation demonstrates that our system achieves efficient digital signal communication with reduced complexity and robust performance under real-world noise conditions. …”
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Research on the Evolution Characteristics and Influencing Factors of Foamy Oil Bubbles in Porous Media by Moxi Zhang, Xinglong Chen, Weifeng Lyu

“…The findings hold significant scientific value for advancing heavy oil recovery theory and guiding efficient foamy oil development. Future work will extend to studying multiphase flow coupling mechanisms in porous media, laying a theoretical foundation for intelligent control technology development.…”
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Experimental research of impact on psychological state for adolescents with high-intensity interval training intervention by Yu-Tong Li, Yang Zhou

“…High-intensity interval training (HIIT), characterized by short bursts of intense exercise interspersed with recovery periods, has emerged as a time-efficient intervention for psychological well-being. …”
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Visual information processing characteristics of tactical decisions of soccer players in 3V3 offense scenarios by Tianyu Gao, Peng Shi, Duoyao Zhang, Guodong Wang, Jianming Zhang

“…Abstract Objective To quantitatively access the visual search of soccer players in the 3V3 offensive tactical situation and explore the eye movement characteristics and information processing mechanisms of high-level athletes under multi-target tracking. …”
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PENGUKURAN KUALITAS CITRA DIGITAL COMPUTED RADIOGRAPHY MENGGUNAKAN PROGRAM PENGOLAH CITRA by D. R. Ningtias, S. Suryono, S. Susilo

“…This methode is really efficient for QC spatial resolution quantitatively and so it can be used for assesing the quality of CR. …”
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Poisson random measure noise-induced coherence in epidemiological priors informed deep neural networks to identify the intensity of virus dynamics by Saima Rashid, Ayesha Siddiqa, Fekadu Tesgera Agama, Nazeran Idrees, Mohammed Shaaf Alharthi

“…Utilizing this hybrid approach, we want to increase our comprehension of disease propagation, strengthen forecasting competencies, and influence more efficient public health actions. The combination of stochastic processes and machine learning approaches creates a powerful tool for capturing the inherent uncertainties in infectious disease dynamics, as well as a more accurate framework for real-time epidemic prediction and prevention.…”
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Application of Plackett–Burman and Box–Behnken designs to develop a sensitive and robust HPLC method for quantifying hypolipidemic drugs, rosuvastatin and bempedoic acid in tablets... by Susmitha Aggarapu, Rajitha Galla, Neha Jabeen Shaik, Sai Jyothi Dasari

“…The use of Plackett–Burman and Box–Behnken designs facilitated efficient optimization, and the method meets ICH guidelines and greenness criteria, confirming its suitability for routine analysis in quality control laboratories. …”
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The effect of fucoxanthin on the development of CCl₄-induced liver fibrosis by V. N. Slautin, D. Yu. Grebnev, I. Yu. Maklakova, S. V. Sazonov, I. V. Gavrilov, E. I. Gavrilova

“…To explore whether the administration of fucoxanthin at a dose of 30 mg/kg is efficient in suppressing hepatic fibrosis.Materials and Methods. …”
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Survival of the greenest: environmental sustainability and longevity of organizations by Daria M. Haner, Yilei Wang, Deniz S. Ones, Stephan Dilchert, Yagizhan Yazar, Karn Kaura

“…Additionally, older organizations demonstrated better resource use and management, operational eco-efficiency, climate strategy, and environmental reporting. …”
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Factors affecting irreversible inhibition of EGFR and influence of chirality on covalent binding by Pasquale A. Morese, Ayaz Ahmad, Mathew P. Martin, Richard A. Noble, Sara Pintar, Lan Z. Wang, Shangze Xu, Andrew Lister, Richard A. Ward, Agnieszka K. Bronowska, Martin E. M. Noble, Hannah L. Stewart, Michael J. Waring

“…Abstract The discovery of targeted covalent inhibitors is of increasing importance in drug discovery. Finding efficient covalent binders requires modulation of warhead reactivity and optimisation of warhead geometry and non-covalent interactions. …”
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Low-Frequency Model Constrained Petrophysical Estimation Based on Canonical Correlation Analysis by Hanming Chen, Lingqian Wang, Yamei Cao, Ning Wang, Hui Zhou, Mingyu Yang

“…Petrophysical estimation serves as a critical tool for quantitative interpretation in reservoir characterization, bridging the gap between petrophysical and elastic parameters. …”
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DeepCristae, a CNN for the restoration of mitochondria cristae in live microscopy images by Salomé Papereux, Ludovic Leconte, Cesar Augusto Valades-Cruz, Tianyan Liu, Julien Dumont, Zhixing Chen, Jean Salamero, Charles Kervrann, Anaïs Badoual

“…Our network is trained from 2D STED images using a novel loss specifically designed for cristae restoration. To efficiently increase the size of the training set, we also developed a random image patch sampling centered on mitochondrial areas. …”
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A novel study of the impact of supply chain complexity on the bullwhip effect by Mohammed El-Beheiry, Raghda Taha, Tamer Ismail, Yasmin Adel

“…Objectives: The research quantitatively studies the effect of the strategic supply chain structure at the design phase on amplifying the bullwhip effect. …”
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Computational complexity, algorithmic scope, and evolution by Leonhard Sidl, Maximilian Faissner, Manuel Uhlir, Cristian A Velandia-Huerto, Maria Waldl, Hua-Ting Yao, Ivo L Hofacker, Peter F Stadler

“…Here we explore the idea that evolution confines biological computation to subsets of instances that can be solved efficiently with algorithms that are ‘hardcoded’ in the system itself. …”
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