Modified Solution–Diffusion Model Incorporating Rotational Kinetic Energy in Pressure Retarded Osmosis by Daniel Ruiz-Navas, Edgar Quiñones-Bolaños, Mostafa H. Sharqawy

“…Pressure-retarded osmosis (PRO) is a process that allows the production of mechanical energy from the chemical potential difference between two solutions of different concentrations separated by a semi-permeable membrane. …”
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Degradation Characteristics of a Novel PAF Receptor Antagonist, SY0916, in Aqueous Solution by Bo Jin, Yanan Wang, Tingting Zhang, Wanting Yin, Dongfeng Zhang, Haihong Huang, Chen Ma

“…The degradation behaviour and stability of SY0916 in aqueous solutions were investigated at different pH levels, periods of time, and temperatures. …”
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Automatic CTA analysis for blood vessels and aneurysm features extraction in EVAR planning by Erich Robbi, Daniele Ravanelli, Sara Allievi, Igor Raunig, Stefano Bonvini, Andrea Passerini, Annalisa Trianni

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STUDY AND MODELING OF SOLVENT INFLUENCE ON ISOSALIPURPOSIDE EXTRACTION FROM HELICHRYSI ARENARII FLOWERS by N. N. Boyko, D. I. Pisarev, E. T. Zhilyakova, O. O. Novikov

“…A dependence of isosalipurposide concentration in ethanol-water extracts on ethanol concentration in the solution was studied. …”
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The impact of cigarette smoking on the efficiency of local anesthesia during simple tooth extraction by Noor Mohammed Al-Noori, Noor Sahban Ibraheem, Mohammed Majid Abdulmunem

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Effect of extract from herbal complex on the clinical and hematological status of white mice by A. A. Ivanovsky, N. A. Latushkina, E. Yu. Timkina

“…The phytoextract dissolved in physiological solution was administered orally daily to the mice of the experimental groups for 7 days in doses: the first group 0.1 ml (0.65 mg of extractive substances), the second group 0.3 ml (1.95 mg) and the third group 0.5 ml (3.25 mg). …”
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Solution for crop classification in regions with limited labeled samples: deep learning and transfer learning by Hengbin Wang, Yu Yao, Zijing Ye, Wanqiu Chang, Junyi Liu, Yuanyuan Zhao, Shaoming Li, Zhe Liu, Xiaodong Zhang

“…Experimental results show that our model has superior discriminative feature extraction capabilities compared to other existing models. …”
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Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook by Pengcheng Xue, Rui Qiu, Chuchuan Peng, Zehang Peng, Kui Ding, Rui Long, Liang Ma, Qifeng Zheng

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Solvent Extraction And Spectrophotomteric Determination Of Cu(Ii) With Dicyclohexyl - 18- Crown-6 by Baghdad Science Journal

“…Liquid-Liquid Extraction of Cu(II) ion in aqueous solution by dicyclohexyl-18-crown-6 as extractant in dichloroethane was studied .The extraction efficiency was investigated by a spectrophometric method. …”
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Sorption extraction of strontium radionuclides from surface water by natural aluminum silicate by Andrey S. Kutergin, Tatiana A. Nedobukh, Aleksandr F. Nikiforov, Ksenia I. Zenkova, Taisiya V. Tarasovskikh

Water Tourism: A Solution for Sustainable Development and Water Resource Conservation in Qazvin Province by Sayedh Marzie Hosseini, mohammad hasan saeedi motlagh, Seyedeh Samin Farabi, Fatemeh Borzoo Jirandehi, Shima Kabiri, Behzad Ghiasi

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Ultrasound tomography enhancement by signal feature extraction with modular machine learning method. by Bartłomiej Baran, Dariusz Majerek, Piotr Szyszka, Dariusz Wójcik, Tomasz Rymarczyk

“…In principle, models use convolution layers to extract common features of signals, which are passed to dense layers responsible for predicting the number of objects or their locations and sizes. …”
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Revolutionizing e-health: the transformative role of AI-powered hybrid chatbots in healthcare solutions by Jack Ng Kok Wah

“…Further studies are needed to explore these challenges and the long-term impact of AI-driven healthcare solutions.…”
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Predicting Fundamental Frequency Patterns in Electrolaryngeal Speech Using Automated Phoneme Extraction by Mohammad Eshghi, Tomoki Toda

“…We propose a system to enhance electrolaryngeal speech naturalness using automatically extracted phoneme representations. Phonemes provide sufficient information for predicting reasonably natural fundamental frequency patterns. …”
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Utilizing biosorbents for sustainable mercury removal from aqueous solutions: Efficiency and practical applications by Rahele Khosravi Nessiani, Meysam Naseri, Hadi Erfani, Sajjad Khodayari, Sumarlin Shangdiar, Kassian T.T. Amesho

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Effectiveness of Endoscopic Application of Type I Human Collagen Solution in Treatment of Inhalation Injury by I. E. Galankina, A. V. Makarov, A. V. Mironov, S. V. Smirnov, N. V. Borovkova, I. N. Ponomarev, A. M. Gasanov

“…In order to assess the morphological  dynamics  of the repair process of the mucous membrane,  a morphological  study  of the bioptate obtained during endoscopic studies was carried out. The solution for the application was prepared by acid extraction of type I human collagen from ligaments and tendons as described  earlier (Russian Federation invention patent No. …”
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Operational properties of catalysts for non-extractive oxidative demercaptanization of oil and petroleum fractions by Yu. A. Gavrilo, I. V. Pletneva, E. N. Silkina

“…The results of identification of the main operational properties of metallocomplex catalysts solutions for non-extractive oxidative sweetening of natural hydrocarbons and their products are provided in this article. …”
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An affordable and simple method for DNA extraction from agarose suitable for downstream applications by Jesús Enrique Sánchez-Flores, Antonio Sandoval-Cabrera, Patricia Alarcón-Valdés, Jonnathan Guadalupe Santillán-Benítez

“…In the case of silica column extraction, the gel was partially or completely dissolved, yielding DNA in most situations. …”
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Research on information extraction methods for historical classics under the threshold of digital humanities by Lifan HAN, Zijing JI, Zirui CHEN, Xin WANG

“…Digital humanities aims to use modern computer network technology to help traditional humanities research.Classical Chinese historical books are the important basis for historical research and learning, but since their writing language is classical Chinese, it is quite different from the vernacular Chinese in grammar and meaning, so it is not easy to read and understand.In view of the above problems, the solution to extract entities and relations in historical books based on pre-trained models was proposed to obtain the rich information contained in historical texts effectively.The model usedmulti-level pre-training tasks instead of BERT's original pre-training tasks to fully capture semantic information.And the model added some structures such as convolutional layers and sentence-level aggregations on the basis of the BERT model to optimize the generated word representation further.Then, in view of the scarcity of classical Chinese annotation data, a crowdsourcing system for the task of labeling historical classics was constructed, high-quality, large-scale entity and relation data was obtained and the classical Chinese knowledge extraction dataset was constructed.So it helped to evaluate the performance of the model and fine-tune the model.Experiments on the dataset constructed in this paper and on the GulianNER dataset demonstrated the effectiveness of the model proposed in this paper.…”
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The Possibility of Using Barley Grains Extract as an Acidic Corrosion Inhibitor for Carbon Steel by Bashar Alhaidar, Fidaa Reeshah, Yousef Jammoal

“…A 50% ethanol/water (vol) solution was used for extraction. Two extraction methods were used: soaking and ultrasound. …”
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