Hybrid intelligence framework for optimizing shear capacity of lightweight FRP-reinforced concrete beams by Iman Faridmehr, Moncef L. Nehdi, Mohammad Ali Sahraei, Kiyanets Aleksandr Valerievich, Chiara Bedon

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Supramolecular ethanol-water clusters in alcoholic beverages: Review on 2D correlation fluorescence and NMR spectral characterizations by Hui-Shuang Li, Hao-jie Bai, Yi Li, Yuqing Wu

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“I definitely cannot afford to be feeling poorly if there’s no need to be”: a qualitative evaluation of antiviral uptake following suspected occupational exposure to avian influenz... by Riinu Pae, Lucy Findlater, Richard Amlôt, Fernando Capelastegui, Gavin Dabrera, Clare Humphreys, Jharna Kumbang, Isabel Oliver

“…Abstract Background Growing numbers of people have been potentially exposed to avian influenza (AI), as the United Kingdom has managed the largest and most sustained series outbreaks in recent years. …”
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Effects of high-intensity intermittent cross-training on maximal oxygen uptake by Xin Liu, Katsunori Tsuji, Yuzhong Xu, Motoyuki Iemitsu, Izumi Tabata

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Volumetric Properties in the NaAsO2 + H2O System at Temperature from 283.15 to 363.15 K and Atmospheric Pressure by Hongfang Hou, Wanjing Cui, Jiaojiao Chen, Lingzong Meng, Yafei Guo, Tianlong Deng

“…According to the Pitzer ion-interaction equation of the apparent molar volume model, the Pitzer single-salt parameters (βM,X0υ, βM,X1υ, βM,X2υ, and CM,Xυ, MX = NaAsO2) and their temperature-dependent correlation F(i, p, T) = a1 + a2ln (T/298.15) + a3(T − 298.15) + a4/(620 − T) + a5/(T − 227) (where T is temperature in Kelvin and ai are the correlation coefficients) for NaAsO2 were obtained for the first time. …”
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Advances in the carbon-ceramic composites oxidation and ablation resistance: A review by Anna Didenko, Alexey Astapov

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Pharmaceuticals as emerging pollutants: Implications for water resource management in Malaysia by Asvinidevi Arumugam, Khai Ern Lee, Pei Yuen Ng, Aida Soraya Shamsuddin, Aziemah Zulkifli, Thian Lai Goh

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Improving Geldanamycin Production in <i>Streptomyces geldanamycininus</i> Through UV Mutagenesis of Protoplast by Yuan Yuan, Lu Yang, Zhikai Fang, Haimin Chen, Fei Sun, Hong Jiang, Jian Zhou

“…Multi-omic analysis revealed that the high-yielding geldanamycin in mutant strain 53 could upregulate <i>GdmG</i> and <i>GdmX</i> by 1.59 and 2.38 times in the ansamycin synthesis pathway, and downregulate <i>pks12</i>, <i>pikAI</i>, and <i>pikAII</i> by 0.25, 0.37, and 0.48 times in the fatty acid synthesis pathway, which was crucial for geldanamycin production. …”
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Development and Evaluation of the Immunogenic Potential of an Unmodified Nucleoside mRNA Vaccine for Herpes Zoster by Shun Zhang, Xiaojie Wang, Tongyi Zhao, Chen Yang, Lulu Huang

“…Methods: We utilized artificial intelligence (AI) to design several unmodified gE mRNA sequences for VZV, considering factors such as codon preference and secondary structure. …”
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Human umbilical cord derived-mesenchymal stem cells alleviate lipid metabolism disturbances of hepatocytes via mitochondrial transport by Jing Xue, Xiangnan Hu, Suying Xia, Pengfei Ren, Aihong Wang

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Degradation of 4-nonylphenol in bromide-containing water by UVC/O3/TiO2-combination processes: Impacts on trihalomethanes and haloacetic acids formation by Muammar Qadafi, Raden Tina Rosmalina, Hanny Meirinawati, Widyarani, Diana Rahayuning Wulan

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A Hybrid Contextual Embedding and Hierarchical Attention for Improving the Performance of Word Sense Disambiguation by Robbel Habtamu Yigzaw, Beakal Gizachew Assefa, Elefelious Getachew Belay

“…However, despite this positive progress, semantical and syntactical ambiguity remains a challenge, especially when dealing with polysomy words, and it is considered an AI-complete problem. In this work, we propose an approach that integrates hierarchical attention mechanisms and BERT embeddings to enhance WSD performance. …”
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Making sense of the L-shaped pore pressure ramps in Brunei: Compression-induced vertical fluid flow in the basin and its impact on the petroleum system by Udai Bhan Rai, Aminul Islam, Nick Hogg Mascall, Mohamed Ragab Shalaby

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A strategy to increase identification of patients with Familial Hypercholesterolemia: Application of the Simon Broome lipid criteria in a large-scale retrospective analysis by James K. Fleming, Renee M. Sullivan, David Alfego, Natalia T. Leach, Tamara J. Richman, Jill Rafalko

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Deep Learning-based Artificial Intelligence in Audio based Analysis of Swallowing using Cervical Auscultation by Salloum Hazem, Graf Simone, Schilling Berit, Richter Lena, Jeleff-Wölfler Olivia, Feussner Hubertus, Ostler Daniel, Wilhelm Dirk, Fuchtmann Jonas

“…In the future, we anticipate AI based analysis of auscultated swallowing sounds to detect swallowing disorders and aspirations.…”
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A novel hybrid inception-xception convolutional neural network for efficient plant disease classification and detection by Wasswa Shafik, Ali Tufail, Chandratilak Liyanage De Silva, Rosyzie Anna Awg Haji Mohd Apong

“…It further presents a real-time artificial intelligence (AI) application available in MATLAB, Android, and Servlet to automatically identify and classify diseases based on the leaf environment using improved CNN, machine learning (ML), and computer vision techniques. …”
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Temporal associations between microclimate, adult Aedes mosquito indices, and dengue cases at the residence level in Malaysia: Implications for targeted interventions. by Nur Athen Mohd Hardy Abdullah, Nazri Che Dom, Biswajeet Pradhan, Siti Aekball Salleh, Rahmat Dapari

“…<h4>Results</h4>The study indicated there are positive correlations between the adult index (AI) of Ae. albopictus, their preceding values and rainfall at an NDH. …”
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Fault diagnosis of a CNC hobbing cutter through machine learning using three axis vibration data by Nagesh Tambake, Bhagyesh Deshmukh, Sujit Pardeshi, Sachin Salunkhe, Robert Cep, Emad Abouel Nasr

“…Among these, the Ensemble model achieved perfect classification accuracy (100 %) with minimal computational cost, making it optimal for real-time applications. Explainable AI techniques, such as LIME and Shapley values, were employed to interpret model predictions, enhancing the system's transparency and reliability. …”
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A Personalised Optimising Level Adaptation (OLA) Difficulty Algorithm for Scenario Simulations in Professional VR Simulators by Marcin Wolański Robert, Karol Jędrasiak

“…Project and methods: The OLA algorithm divides scenario activities into blocks and adjusts their difficulty based on user performance in comparison to a reference group of AI-controlled agents. The algorithm’s efficacy was tested across three proprietary VR simulators covering diverse professional scenarios: public speaking, hydrogen electrolysis and mechanical technician operations. …”
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Enhancing the creep resistance in a RE-free cast Mg-Al-Ca alloy through microalloying of Ti by Zhuang Cui, Yang Liu, Ying Zeng, Manping Liu, Xiaochun Liu, Shiwei Xu, Xuefei Chen, Qudong Wang

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