"NOVOSIBIRSK" MUD VOLCANO AND EVIDENCE OF ITS ACTIVATIONS (LAKE BAIKAL) by О. М. Khlystov, А. V. Khabuev

“…Using the "Novosibirsk" mud volcano and the "Gydratny" fault as an example, it can be shown that the past tectonic activity of the Baikal basin may be determined based on the knowledge of the structure and evolution of the mud volcanoes of the lake.…”
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A Spatio-Temporal Tensor Graph Neural Network-Based Method for Node-Link Prediction in Port Networks by Zhixin Xia, Zhangqi Zheng, Feiyang Wei, Yongshan Liu, Lu Yu

“…Therefore, to effectively utilize the information of the dynamic network and improve the prediction efficiency as well as the prediction accuracy, this paper proposes a spatio-temporal tensor graph neural network model, which learns graph structural features from both spatial and temporal aspects to capture the evolution of the dynamic network. …”
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Errors-in-variables and validation problems in reaction norm predictions for wild populations by Rolf Ergon

“…In parameter estimation these errors give rise to errors-in-variables problems, especially in the form of overfitting caused by errors in the input measurements. A second important feature of such phenotypic response problems is that the environmental inputs must be given appropriate but largely unknown reference values. …”
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Identification of Cultural Landscapes and Spatial Distribution Characteristics in Traditional Villages of Three Gorges Reservoir Area by Jia Jiang, Zhiliang Yu, Ende Yang

“…The results indicate that topographic conditions drive the synergistic evolution of the human–land system in traditional villages through the mechanisms of agricultural optimisation, trade networks, cultural defence, and ecological adaptation. …”
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K0 test and particle flow simulation of coral sands with different gradations by Ruiyuan Zhang, Yongtao Zhang, Peishuai Chen, Fuquan Ji, Huiwu Luo, Yu Zhong, Yu Zhong

“…The K0 decreases and then stabilizes with increasing particle bonding strength, and the evolution law between them conforms to the exponential function form. …”
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Yeti claws: Cheliped sexual dimorphism and symmetry in deep-sea yeti crabs (Kiwaidae). by Christopher Nicolai Roterman, Molly McArthur, Cecilia Laverty Baralle, Leigh Marsh, Jon T Copley

“…Sexual dimorphism is a common feature of decapod crustaceans, but little is known about its prevalence in species from deep-sea habitats. …”
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Abundant microchondrules in 162173 Ryugu suggest a turbulent origin for primitive asteroids by Matthew J. Genge, Natasha V. Almeida, Matthias van Ginneken, Lewis Pinault, Tobias Salge, Penelope J. Wozniakiewicz, Hajime Yano, Steven J. Desch

“…Abstract Chondrules are a characteristic feature of primitive Solar System materials and are common in all primitive meteorites except the CI-chondrites. …”
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Devanagari Character Recognition: A Comprehensive Literature Review by Sandhya Arora, Latesh Malik, Sonakshi Goyal, Debotosh Bhattacharjee, Mita Nasipuri, Ondrej Krejcar

“…This literature review examines the evolution of handwritten Devanagari character recognition (HDCR), exploring early template matching and feature extraction methods that struggled with the script’s intricacy. …”
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AI-Powered Vocalization Analysis in Poultry: Systematic Review of Health, Behavior, and Welfare Monitoring by Venkatraman Manikandan, Suresh Neethirajan

“…This comprehensive systematic review critically examines the transformative evolution from traditional acoustic feature extraction—including Mel-Frequency Cepstral Coefficients (MFCCs), spectral entropy, and spectrograms—to cutting-edge deep learning architectures encompassing Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, attention mechanisms, and groundbreaking self-supervised models such as wav2vec2 and Whisper. …”
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Transforming aged care in China: insights from a TF-IDF-based data mining analysis of national policies (2018–2022) by Zhihan Liu, Hebin Li, Ziyan Zhang, Lu Ping, Wenxin Gu, Yuan Yao

“…Methods It identifies key trends and shifts, using core feature words to construct co-occurrence and heterogeneity matrices analyzed via multidimensional scaling techniques. …”
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Active Galactic Nucleus Jet-inflated Bubbles as Possible Origin of Odd Radio Circles by Yen-Hsing Lin, H.-Y. Karen Yang

“…We further discuss the radio luminosity, X-ray detectability, and the possible origin of such strong AGN jets in the context of galaxy evolution. We conclude that end-on CR-dominated AGN bubbles could be a plausible scenario for the formation of ORCs.…”
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Trends in the sustainable use of artificial intelligence: a bibliometric approach by Alejandro Valencia-Arias, Jesus Alberto Jimenez Garcia, Toño Eldrin Alvites Adan, Ezequiel Martínez Rojas, Jackeline Valencia, Erica Agudelo-Ceballos, Hernán Uribe Bedoya, Gustavo Adolfo Moreno López

“…The emerging keywords were “Blockchain” and “Feature Selection.” An interdisciplinary research agenda was proposed to address these topics.…”
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INTERNATIONAL FILM FESTIVALS: FROM MODERNISM TO POST-POSTMODERN AGE by RAZLOGOV KIRILL E.

“…This article uses the Russian film festival movement to analyze the evolution of film festivals from their beginnings to the internet age, focusing on how scientific and technological transformations in the audiovisual sphere influenced the social context of information circulation and cinematic creativity. …”
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A Novel Single Source Bridgeless Nine-Level Switched-Capacitor-Based Quadruple Boost Inverter With Reduced Voltage Stress by Devanand Kumar, Ravi Raushan, Md. Waseem Ahmad, Soham Dutta

“…Moreover, the proposed inverter’s leakage current can be almost zero due to the presence of the common ground (CG) feature. The nearest level pulse width control technique has been implemented to operate the proposed inverter. …”
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Analyzing the Efficacy of Computer-Aided Detection in Cerebral Aneurysm Diagnosis Using MRI Modality: A Review by Keerthi A. S. Pillai, Preena K. P., Madhu S. Nair

“…CNNs have proven to be a crucial component in improving the accuracy and efficiency of aneurysm detection by automatically learning features from raw imaging data, bypassing the need for manual feature extraction. …”
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Forecasting outbound student mobility: A machine learning approach. by Stephanie Yang, Hsueh-Chih Chen, Wen-Ching Chen, Cheng-Hong Yang

“…<h4>Methods</h4>To analyze outbound student mobility in Taiwan using time series methods, this study aims to propose a hybrid approach FSDESVR which combines feature selection (FS) and support vector regression (SVR) with differential evolution (DE). …”
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Precision Recognition of Rock Thin Section Images With Multi‐Head Self‐Attention Convolutional Neural Networks by Pengfei Lv, Weiying Chen, Xinyu Zou

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Rolling window for detecting multiple Chan signatures to diagnose excessive water production by Ahmed MohamedSalih Musa Hamdoon, A. P. Mohammed Abdalla Ayoub Mohammed, A. P. Khaled Abdalla Elraies

“…A successful interactive model with the rolling window feature was developed to track slope changes in Chan signatures, resulting in a 7–10% improvement in pattern detection accuracy compared to static features. …”
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Unveiling the Synergistic Potential: Bispecific Antibodies in Conjunction with Chemotherapy for Advanced Non-Small-Cell Lung Cancer Treatment by Saqib Raza Khan, Daniel Breadner

“…This review explores the scientific evolution and clinical application of bsAbs in NSCLC, focusing on their synergistic potential with chemotherapy. …”
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Beyond nutritional immunity: immune-stressing challenges basic paradigms of immunometabolism and immunology by Edmund K. LeGrand

“…Pathogens have the well-known advantage of rapid evolution due to short generation times and large populations. …”
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