Leveraging Digital Twin for operational resilience in the oil and gas industry by Giovanni Mazzuto, Ilaria Pietrangeli, Marco Ortenzi, Filippo Emanuele Ciarapica, Maurizio Bevilacqua

“…Motivation: The oil and gas industry is a highly complex and interconnected environments, where system failures or cyber threats can lead to severe operational and safety risks. …”
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Development of RT h-CLAT, a Rapid Assessment Method for Skin Sensitizers Using THP-1 Cells as a Biosensor by Hiroki Koyama, Ayami Maeda, Peiqi Zhai, Keiichiro Koiwai, Kouichi Kurose

“…However, existing assays remain complex and costly. To address this, we recently developed a more efficient, cost-effective, and accurate method for evaluating skin sensitizers by using immune cell-derived THP-1 cells as a biosensor, coupled with an RT-PCR-based assay. …”
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Neurovision: A deep learning driven web application for brain tumour detection using weight-aware decision approach by Thota Rishik Sai Santhosh, Sachi Nandan Mohanty, Nihar Ranjan Pradhan, Tauseef Khan, Morched Derbali

“…Therefore, identification of a potential brain tumour is challenging owing to the complex behaviour and structure of the human brain. …”
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Deformation index (GDI) in grain as a criterion for wheat gluten quality by E. N. Shabolkina, S. N. Shevchenko, N. V. Anisimkina

“…The nutritional benefits of wheat bread largely depend on quality and content of the most valuable part of the grain, its protein complex, namely elastic, and quite extensible gluten. …”
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Benchmarking quantum chemical methods with X-ray structures via structure-specific restraints by Birger Dittrich, Rok Breznikar, Gianluca Santarossa, Pamela Whitfield, Henrik Moebitz

“…Moreover, the size of molecules and the complexity of structures encountered in pharmaceutical research are increasing. …”
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In Silico Evaluation of ERQ Bioactive Tripeptide as an Anticancer Agent and an Inhibitor of SARS-CoV-2 Enzymes by Gözde Yılmaz, Sefa Çelik, Ayşen Erbölükbaş Özel, Sevim Akyüz

“…Objective: Short peptides play a significant role in exploring drugs with higher selectivity and fewer side effects in cancer and COVID-19 therapies. …”
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Binary solvent extraction of intracellular lipids from Rhodotorula toruloides for cell recycling by Jingyi Song, Rasool Kamal, Yadong Chu, Shiyu Liang, Zongbao K. Zhao, Qitian Huang

“…The process involves the separation of lipids from microbial cells. Given the complexity of microbial cell walls and the demand for efficient and environmentally friendly extraction methods, further research is still needed in this area. …”
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Aircraft range fuel prediction study based on WPD with IAPO optimized BiLSTM–KAN model by Weizhen Tang, Jie Dai, Yuantai Li

“…Initially, Pearson’s correlation coefficient is employed to select the most significant features. …”
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Motivations for suicide attempts and risk factors among youths in Western Iran: A cross‐sectional study by Fatemeh Darabi, Arash Ziapour, Hassan Ahmadinia

“…Abstract Background and Aims Suicide attempts are a fundamental problem in health care systems and are known for their complex and multifaceted nature. This study aimed to explore the reasons for suicide attempts and to identify associated factors in western Iran. …”
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Intelligent frequency control of AC microgrids with communication delay: An online tuning method subject to stabilizing parameters by Komeil Nosrati, Vjatseslav Skiparev, Aleksei Tepljakov, Eduard Petlenkov, Juri Belikov

“…However, a challenge lies in the fact that employing these computationally complex methods without stability preservation might not suffice to handle the rapid changes of this highly dynamic environment in real-world scenarios over communication delays. …”
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Risk factors of acute coronary syndrome among patients admitted to cardiac care units at governmental hospitals in the Gaza Strip: Case- control study by Tareq Khattab, Yousef Aljeesh

“…Reliability testing by Cronbach's alpha coefficient (0.87) and statistical analysis was conducted using SPSS version 25. …”
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Fusing satellite imagery and ground-based observations for PM2.5 air pollution modeling in Iran using a deep learning approach by Zohreh Sohrabi, Jamshid Maleki

“…Meanwhile, the rapid growth of computational technologies and the availability of air quality data have enabled researchers to develop complex models using deep learning for modeling various air pollutant concentrations. …”
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Modelling flame-to-fuel heat transfer by deep learning and fire images by Caiyi Xiong, Zilong Wang, Xinyan Huang

“…Different methanol pool fires were selected to produce the image database for training the model. …”
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New Algorithm for Conservative Treatment of Patients with Keratoconus by E. S. Milyudin, O. Yu. Smorodinova, K. E. Kuchuk

“…Treatment was carried out during the entire observation period, alternating complexes of preparations for 60 days. An increase in diopter strength along the steep meridian was noted in patients with keratoconus of all stages. …”
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A Novel Approach for Rapid Detection of Forest Degradation and Diseases Through Anomaly Analysis of Sentinel-2 Spectral Data by Sofiia Drozd, Nataliia Kussul, Hanna Yailymova

“…The aim of this study was to develop an accessible and reliable technique that could match the performance of more complex algorithms while using minimal computational resources. …”
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Seasonal fluctuations in individual milk parameters in free-range cows by S. M. Mykhailiutenko, L. M. Kuzmenko, B. V. Gutyj, Y. E. Mykhailiutenko

“…Their minimum and maximum limits were determined at Komyshuvatskyi Milk Complex LLC, which is key when determining the grade of milk. …”
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Simultaneous Determination of Quercetin and Trans-Resveratrol in Winemaking Waste by Solid Phase Microextraction Coupled to High-Performance Liquid Chromatography with Fluorescence... by Antonella Maria Aresta, Giovanna Mancini, Nicoletta De Vietro, Carlo Zambonin

“…This study establishes a reliable, sensitive, and efficient approach for the determination of these bioactive compounds in complex matrices, with potential applications in the food and pharmaceutical industries.…”
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Improving the Principles of Identifying Critical Requirements for the Assembly of High-Precision Products by A. V. Nazaryev, P. Yu. Bochkarev

“…The application of this technique makes it possible to increase the reliability of the source information obtained during the implementation of an enlarged block of design procedures, as well as the validity and efficiency of identifying rational manufacturing technologies at subsequent stages of the system implementation, while providing the specified quality, accuracy of products, and reducing the complexity and cost of their manufacture.…”
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S-nitrosylation of EZH2 alters PRC2 assembly, methyltransferase activity, and EZH2 stability to maintain endothelial homeostasis by Ashima Sakhuja, Ritobrata Bhattacharyya, Yash Tushar Katakia, Shyam Kumar Ramakrishnan, Srinjoy Chakraborty, Hariharan Jayakumar, Shailesh Mani Tripathi, Niyati Pandya Thakkar, Sumukh Thakar, Sandeep Sundriyal, Shibasish Chowdhury, Syamantak Majumder

“…Herein, we report S-nitrosylation of selected cysteine residues of EZH2 in endothelial cells, which interplays with its stability and functions. …”
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Molecular Fractionation Induced by Viscosity-Driven Segregative Phase Separation Behavior of Gum Arabic/Hydroxypropyl Methylcellulose by Lingyu Han, Cunzhi Zhang, Nuo Dong, Jixin Yang, Qiuyue Zheng, Xiaobo Zhang, Ronggang Liu, Jijuan Cao, Bing Hu

“…By conducting a comparative analysis of two GA subtypes (CGA and SGA) and three HPMC grades with controlled viscosity gradients, we utilized gel permeation chromatography-multi-angle laser light scattering (GPC-MALLS) coupled with rheological characterization to elucidate the critical relationship between continuous phase viscosity and fractionation efficiency. Notably, increasing HPMC viscosity significantly intensified phase separation, resulting in selective enrichment of arabinogalactan-protein complexes: from 6.3% to 8.5% in CGA/HPMC systems and from 27.3% to 36.5% in SGA/HPMC systems. …”
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