Bolt Anchorage Quality Levels Classification Method Based on HO‐VMD‐CNN‐BiLSTM by Fan Kesong, Zhang Can, Liu Shaowei, Feng Mengyin, Yan Ao, Fu Mengxiong, He Deyin, Nie Zhibin

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Nimisõnafraasi ja hulgafraasi piirimail: "osa", "enamik" ja "enamus" hulgasõnadena by Maarja-Liisa Pilvik, Liina Lindström, Helen Plado, Carl Eric Simmul

“…. *** "On the border of noun phrases and quantifier phrases: osa ‘some’, enamik ‘most’, and enamus ‘most; majority’ as quantifiers" *** In this article, we examine the structural and semantic variation of phrases which are formed with the quantifiers osa ‘some’, enamik ‘most’, or enamus ‘most; majority’, and plural set nouns in contemporary Estonian. …”
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The Multi-Functional Modelling Shear Lag Method for Accurate Calculation of Static Response and Accordion Effect of Improved Composite Box Girders by Ya-Nan Gan, Zi-Chen Zhang, Gen-Hui Wang

“…Therefore, MFMSL is a method to calculate the static response and accordion effect of the CW-SBS composite box girders. Structural differential equations based on the energy-variation principle present that the MFMSL method effectively improves the calculating accuracy of the CW-SBS box girder static response, which can be verified by both experimental and simulative results. …”
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Joint Classification of Hyperspectral and LiDAR Data via Multiprobability Decision Fusion Method by Tao Chen, Sizuo Chen, Luying Chen, Huayue Chen, Bochuan Zheng, Wu Deng

“…The four extracted features are subsequently input into the corresponding kernel–extreme learning machine (KELM), which has a simple structure and good classification performance, to obtain four classification probability matrices (CPMs). …”
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Seismic Random Noise Attenuation via Low-Rank Tensor Network by Taiyin Zhao, Luoxiao Ouyang, Tian Chen

“…Our method involves constructing a noise attenuation model that leverages LRTA, total variation (TV) regularization, and weighted tensor nuclear norm minimization (WTNNM). …”
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INFLUENCE OF REDISPERSIBLE POWDERS AND LOW-MODULAR INCLUSIONS ON THE FROST RESISTANCE OF THE FINE-GRAINED CONCRETE CONTACT ZONE by G. V. Nesvetaev, A. V. Dolgova, L. V. Postoy, G. N. Hadzhishalapov

“…When introducing the redispersible powders into the structure of fine-grained concrete, there is no unambiguous pattern of change in the values of the variation coefficient of adhesion to base and it is possible to increase or decrease this value, while the values of the variation coefficient of adhesion can vary by an order of magnitude.Conclusion. …”
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Design of Positive Pressure Re-Acceleration Assisted Seeding Mechanism for Corn Based on CFD-EDEM Gas-Solid Coupling Simulation by Liwei Li, Guangwei Wu, Zhijun Meng, Yuejin Xiao, Yanxin Yin, Bingxin Yan, Chunjiang Zhao

“…The optimal structural parameters of the air pressure valve body were determined (nozzle gap <i>c</i> = 0.6 mm, throat constriction diameter <i>d</i> = 16 mm, and throat constriction length <i>l</i> = 44 mm). …”
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Analysis of Parameterized Quantum Circuits: On the Connection Between Expressibility and Types of Quantum Gates by Yu Liu, Kazuya Kaneko, Kentaro Baba, Jumpei Koyama, Koichi Kimura, Naoyuki Takeda

“…While much research has explored the relationship between expressibility and learning performance, as well as the number of layers in PQCs, the connection between expressibility and PQC structure has received comparatively less attention. …”
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A Simple and Effective KAN-Based Architecture for Accurate Battery RUL Prediction by Guangzai Ye, Li Feng, Jianlan Guo, Yuqiang Chen, Shufei Li

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A systematic review of deep learning chemical language models in recent era by Hector Flores-Hernandez, Emmanuel Martinez-Ledesma

“…Transformers, recurrent neural networks (RNNs), generative adversarial networks (GANs), Structured Space State Sequence (S4) models, and variational autoencoders (VAEs) are considered the main deep learning architectures used for molecule generation in the set of retrieved articles. …”
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Comparative analysis of accuracy and completeness in standardized database generation for complex multilingual lung cancer pathological reports: large language model-based assisted... by Hao Hang, Hao Hang, Liankai Yang, Zhongjie Wang, Zhebing Lin, Pengchong Li, Jiayue Zhu, Rang Liu, Shuai Pu, Xinghua Cheng

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Effect of CaO Content on the Photoluminescence Excitation and Emission Properties of Bi₂O₃ and ZnO-Co-Doped Ca_2+<i>x</i>Ga₄O<sub>8+<i>x<... by Shu-Han Liao, Xiang-Chen Cheng, Fang-Tzu Hsu, Cheng-Fu Yang, Tung-Lung Wu

“…As the CaO content (represented by the <i>x</i> value) increases, the crystalline structure of Ca_2+<i>x</i>Ga₄O_8+<i>x</i> + 0.01 Bi₂O₃ + 0.07 ZnO compositions underwent notable transformations. …”
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Dynamical Behavior of Solitary Waves for the Space-Fractional Stochastic Regularized Long Wave Equation via Two Distinct Approaches by Muneerah Al Nuwairan, Bashayr Almutairi, Anwar Aldhafeeri

“…By employing a complete discriminant polynomial system, we derive novel classes of fractional stochastic solutions that capture the complex interplay between stochasticity and nonlocality. Additionally, the variational principle, derived by He’s semi-inverse method, is utilized, yielding additional exact solutions that are bright solitons, bright-like solitons, kinky bright solitons, and periodic structures. …”
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Automatic vibration fault detection of coal mine explosion-proof electrical equipment based on One-Class Support Vector Machine by ZHENG Tiehua, WANG Fei, ZHAO Gelan, DU Chunhui

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“Mulle oli isegi tšau võõras”: vene õppekeelega põhikoolist eestikeelsesse gümnaasiumi by Kristiina Praakli, Aive Mandel

“…The focus is on adapting to different registers of the Estonian language within the school environment. Based on semi-structured interviews with five gymnasium students from Tartu, we analyse their experiences with the challenges of sociolinguistic variation in Estonian. …”
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Morphological variability of lateral femoral cutaneous nerve and its potential clinical significance by Kinga Włudyka, Nicol Zielinska, R. Shane Tubbs, Krystian Maślanka, Andrzej Borowski, Marek Drobniewski, Łukasz Olewnik

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Transmission Tower Tilt State Recognition Based on Parameter Optimization of VMD-SVD and LSTM by Long ZHAO, Guanru WEN, Zhicheng LIU, Peng YUAN, Xinsheng DONG

“…To address the problems of high difficulty and poor accuracy in extracting the structural state information of transmission towers, a transmission tower tilt state recognition solution is proposed based on the northern goshawk optimized variational mode decomposition (NGO-VMD) and long short-term memory (LSTM) neural network. …”
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MODELING OF DEEP CURRENTS IN THE JAPAN SEA: RELATIONSHIP WITH THE CURRENTS IN THE THERMOCLINE LAYER by O. O. Trusenkova

“…Despite of relatively low spatial resolution, the model captures deep dynamic structures related to local bottom topographic features, such as anticyclonic eddies around underwater rises and seamounts and cyclonic eddies above topographic depressions in the subarctic sector. …”
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Effect of BaO Content on the Photoluminescence Properties of Mn²⁺ and Eu²⁺-Codoped Sr_3−<i>x</i>Ba<i>_x</i>MgSi₂O₈ P... by Shu-Han Liao, Fang-Tzu Hsu, Cheng-Fu Yang, Kao-Wei Min

“…SEM observations indicated that the synthesized powders exhibited a distinctive needle-like structure anchored on the surfaces of the particles. …”
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Prediction of dam deformation using adaptive noise CEEMDAN and BiGRU time series modeling by WANG Zixuan, OU Bin, CHEN Dehui, YANG Shiyong, ZHAO Dingzhu, FU Shuyan

“…【Background and Objective】Accurate prediction of dam deformation is crucial for ensuring the safety of dam structures in engineering monitoring. Dam deformation is influenced by multiple factors, including water pressure, temperature, and material aging, which often exhibit nonlinear and dynamic relationships. …”
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