Avaliação dos efeitos da acetilação nas propriedades das fibras de caroá Evaluation of the effects of acetylation surface treatments on ‘caroá’ fiber by Fernanda F. M. Lopes, Gilmar T. de Araújo, José W. B. do Nascimento, Robelsa F. Vasconcelos, Júlio M. E. Dantas

“…<br>Fiber plants are highly hygroscopic and this feature appears as a major problem in its applicability to production of cement composites, inducing dimensional changes under the moisture influence, deposition of the matrix products and degradation. …”
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Dynamics of the library system in Tambov region (1930s - early 1940s) by I. V. Uraeva

“…They were aimed at drawing public attention to the serious problems existed in the librarianship. However, the Library Campaign was not properly developed in Tambov region. …”
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Pig Aggression Tracking and Analysis Application Based on A RPMeMOTR Method by Shuqin Tu, Haoxuan Ou, Aqing Yang, Yun Liang, Jiaying Du, Yuefei Cao, Ruilin He, Fang Yuan

“…Firstly, we create a new backbone structure named RKNet to enhance aggression feature extraction and representation learning ability. …”
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TIESA IR TIKRUMAS WITTGENSTEINO FILOSOFIJOJE by Albinas Plėšnys

“…Truth is one of the major problems in Tractatus. The later Wittgenstein abandoned his ontological scheme and a related conception of exact truth. …”
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Research on the Wetland Vegetation Classification Method Based on Cross-Satellite Hyperspectral Images by Min Yang, Jing Qin, Xiaodan Wang, Yanfeng Gu

“…This has a negative impact on subsequent classification accuracy. To alleviate these problems, we have designed a linear unbiased stochastic network classification framework based on adversarial learning. …”
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Estimation of Trace Elements (Zinc and Copper) in Serum of Multiple Sclerosis Patients in Baghdad City by Ammar Jabbar, Hassan Al-Saeed

“…Double vision, blindness in one eye, muscle weakness, and problems with sensation or coordination are all possible symptoms. …”
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Estimation Model and Spatio-Temporal Analysis of Carbon Emissions from Energy Consumption with NPP-VIIRS-like Nighttime Light Images: A Case Study in the Pearl River Delta Urban Ag... by Mengru Song, Yanjun Wang, Yongshun Han, Yiye Ji

“…Urbanization is growing at a rapid pace, and this is being reflected in the rising energy consumption from fossil fuels, which is contributing significantly to greenhouse gas impacts and carbon emissions (CE). Aiming at the problems of the time delay, inconsistency, uneven spatial coverage scale, and low precision of the current regional carbon emissions from energy consumption accounting statistics, this study builds a precise model for estimating the carbon emissions from regional energy consumption and analyzes the spatio-temporal characteristics. …”
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VSA-GCNN: Attention Guided Graph Neural Networks for Brain Tumor Segmentation and Classification by Kambham Pratap Joshi, Vishruth Boraiah Gowda, Parameshachari Bidare Divakarachari, Paramesh Siddappa Parameshwarappa, Raj Kumar Patra

“…Then, the segmented outputs are processed into feature extraction, where an AlexNet model is used to reduce the dimensionality. …”
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(Non)specific interaction patterns in families raising a child with disability or chronic illness: a latent profile analysis by Ariadna Łada-Maśko, Urszula Sajewicz-Radtke, Paweł Jurek, Paweł Jurek, Michał Olech, Bartosz M. Radtke, Małgorzata Lipowska

“…Latent Profile Analysis (LPA) was used to analyze data.ResultsWe identified two latent profiles: “Strained Families” profile, which featured lower-quality family interactions with parents displaying greater rejection, inconsistent, and overdemanding attitudes, and the “Resilient Families” profile reflected balanced functioning with greater cohesion and flexibility. …”
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Considerations of Cloud Computing Contracts at the Conclusion Stage by Mohammadali Hasanian, Esmaeil Shahsavandi, Amirabbas Bozorgmehr

“…Due to the distributed and multi-layered nature of this technology, the conclusion of contracts related to the provision of cloud services has special features that distinguish it from traditional contracts. …”
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Machine Learning Characterization of Intermittency in Relativistic Pair Plasma Turbulence: Single and Double Sheet Structures by Trung Ha, Joonas Nättilä, Jordy Davelaar, Lorenzo Sironi

“…The physics of turbulence in magnetized plasmas remains an unresolved problem. The most poorly understood aspect is intermittency—spatiotemporal fluctuations superimposed on the self-similar turbulent motions. …”
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Enhancing education quality with hybrid clustering and evolutionary neural networks in a multi phase framework by Saleem Malik, Chandrakanta Mahanty, Jnanaranjan Mohanty, Krunal Vaghela, T. Narmadha, R. Sivaranjani, Javed Khan Bhutto, Saiful Islam, Anwar Khan, Amanuel Zewdie

“…This algorithm’s strong feature selection and clustering help target educational interventions by revealing student learning behaviors. …”
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A Rice-Mapping Method with Integrated Automatic Generation of Training Samples and Random Forest Classification Using Google Earth Engine by Yuqing Fan, Debao Yuan, Liuya Zhang, Maochen Zhao, Renxu Yang

“…Due to cloud occlusion and banding problems, data extraction from Landsat series remote sensing images with medium spatial resolution is not optimal. …”
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Identifying and prioritizing appropriate strategies for customer loyalty in a mass environment (case study: clothing house) by Zahra Joorbonyan, Ali Sorourkhah, Seyyed Ahmad Edalatpanah

“…Despite their capabilities and features, these approaches face challenges in dealing with variable and evolving conditions (future uncertainty). …”
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Modeling the Dynamics of a Heavy-Duty Mobile Robot Based on Gauss's Principle of Least Constraint by Amandyk Tuleshov, Assylbek Ozhiken, Kassymbek Ozhikenov, Moldir Kuatova, Gulama-Garip Alisher Ibrayev, Igor Gritsenko, Daniyar Kerimkulov, Assiya Boltaboyeva

“…The mobile robot in question features a universal platform with four wheels and two DC servomotors, driving the rear wheels. …”
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Design and Performance Verification of Bionic Octopus Sucker Sealing Structure for Solenoid Valves by Zhihong Wang, Xinbin Zhang, Zhengzhi Mu, Xiang Guan, Junchi Liu, Zhipeng Pan, Junchong Wang, Xiangrui Ye, Zhenghai Qi, Jianyang Dong, Yongming Yao, Liucheng Zhou

“…Aiming at the problem of the insufficient sealing performance of the solenoid valve poppet under a high working load and inspired by the multilevel groove structure of the octopus sucker and the adaptive sealing mechanism, a bionics-based design scheme for an annular groove sealing structure is proposed. …”
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The CVFEM approach to study the Cattaneo-Christov heat flux model using thin film Williamson hybrid nanofluid flowing over a disk by M.M. Alqarni, Abdul Samad Khan, M.A. Aljohani, Taza Gul, Emad E. Mahmoud

“…The input data, hidden layer, and output data are the main features of the AI-based artificial neural network (ANN) which are used to predict the results of the fluid flow problem. …”
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Thermodynamics and solar radiative analysis in Jeffery-Hamel flow through non-parallel channel by novel improved residual power series method by Mohamed Bouzidi, Mohsin Ul Haq, Ikram Ullah, Saira Shukat, Hijaz Ahmad, Mohammad Mahtab Alam, Hamid Khan, Marouan Kouki

“…Energy dissipation and solar radiation features are addressed for comprehensive analysis of thermal field. …”
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An Oxygenated Layer Coating to Enhance the Healing Process of Non-Healing Wounds—A Case Report by Tomasz Miłek, Anna Grzeczkowicz, Agata Lipko, Maria Mesjasz, Leszek Oklesiński, Angelika Kwiatkowska, Marcin Strawski, Monika Drabik, Ludomira H. Granicka

“…The ever-increasing problem of chronic, non-healing wound treatment is a challenge in contemporary medicine. …”
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Deep learning-assisted terahertz intelligent detection and identification of cancer tissue by Xingyu Wang, Yafei Xu, Rong Wang, Nuoman Tian, Zhengpeng Zhu, Shuting Fan, Liuyang Zhang, Ruqiang Yan, Xuefeng Chen

“…Traditional cancer prescreening is not only cumbersome but also heavily reliant on sufficient expert knowledge, which inevitably increases the complexity of cancer diagnosis and limits early cancer diagnosis. To overcome this problem, recent terahertz (THz) technology, as an unconventional bio-friendly detection approach, has emerged with great potential in human disease diagnosis due to its non-ionic and high-resolution features. …”
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