JAMES BOND AND STIERLITZ IN THE CONTEXT OF “PERSONAL HISTORY” by Dar`ya A. Holub

“…The special understanding of the myth with its historical features, which has been developed in the literature by the end of the 20th century, with the obligatory coverage of the repetitive patterns in the life of mankind is emphasized. …”
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A Global Attention Mechanism-Based EfficientNet Model for Road Pavement-Type Identification by Zhe-Yuan Ni, Jun-Cheng Wang

“…This enables the effective isolation of discriminative patterns, such as crack density, from complex backgrounds. …”
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The present study answers the research question: A corpus-based analysis of collocate directionality in academic English writing by Abdulaziz B. Sanosi

“…Such results can have implications for both collocation instruction and provide practical insights to develop academic writing skills. With these findings, educators can concentrate on teaching the syntactic features of collocations and emphasizing vocabulary instruction that prioritizes word pairs over individual words. …”
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PGDRT: Prediction Demand Based on Graph Convolutional Network for Regional Demand-Responsive Transport by Eunkyeong Lee, Hosik Choi, Do-Gyeong Kim

“…Therefore, it is necessary to establish a regional demand generation prediction model that reflects temporal features for efficient demand response service operations. …”
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Machine learning-based single-sample molecular classifier for cancer grading by Zoia Antysheva, Nikita Kotlov, Mariia V. Guryleva, Ivan Valiev, Viktor Svekolkin, Anna Belozerova, Sheila T. Yong, Dmitry Tabakov, Alexander Bagaev, Vladimir Kushnarev

“…Gene expression patterns as revealed by the classifier can provide useful information for both research and diagnostic purposes.…”
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Mathematical and geoinformation modeling of snowmelt process in the river drainage basins of the Kama region by V. G. Kalinin, A. A. Shaydulina, V. S. Rusakov, M. A. Fasakhov

“…Based on the temperature coefficient method, detailed digital maps and GIS-technologies, a model of spring snow melting has been developed. This model makes it possible to take into account the spatial distribution of meteorological information, features of the relief and soil-vegetation cover more accurately. …”
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Pregnancy course and perinatal outcomes in women with congenital heart valve disease by Yu. V. Bukhonkina1, R. I. Stryuk, G. V. Chizhova, V. B. Nemirovsky

“…All women gave birth at the specialised maternity centre in Moscow and the perinatal centre in Khabarovsk.Results. The features of CHVD in pregnant women reflected the population patterns and were represented by interventricular and interatrial septal defects, aortal coarctation, open arterial duct, pulmonary artery stenosis, and corrected “blue” heart valve disease. …”
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The Application of BiGRU-MSTA Based on Multi-Scale Temporal Attention Mechanism in Predicting the Remaining Life of Lithium-Ion Batteries by Luping Wang, Shanze Wang

“…This mechanism is integrated with the Bidirectional Gated Recurrent Unit (BiGRU) to develop the BiGRU-MSTA framework. This framework effectively captures multi-scale temporal features and enhances prediction accuracy, even with limited training data. …”
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Laryngeal involvement in relapsing polychondritis: clinical and CT findings in 173 patients by Zhengang Wang, Xiao Bai, Ruohan Yu

“…We aimed to characterise the clinical features and CT findings of laryngeal involvement in RP, hypothesising that specific CT patterns correlate with clinical manifestations.Methods We retrospectively analysed 173 patients with confirmed RP. …”
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Infectivity and fatality of influenza in pre- and post-COVID-19 pandemic year. by Shuanglin Jing, Hao Wang

“…We aim to compare influenza's epidemiological characteristics between pre-pandemic and post-pandemic periods to inform public health responses. We develop two influenza transmission models incorporating age structure and multi-strain dynamics, featuring time-varying transmission and mortality rates. …”
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A Novel Hypoxia-Immune Signature for Gastric Cancer Prognosis and Immunotherapy: Insights from Bulk and Single-Cell RNA-Seq by Mai Hanh Nguyen, Hoang Dang Khoa Ta, Doan Phuong Quy Nguyen, Viet Huan Le, Nguyen Quoc Khanh Le

“…Single-cell RNA-seq data from the TISCH database were used to explore gene expression patterns across cell types. <b>Results</b>: Five genes (<i>TGFB3</i>, <i>INHA</i>, <i>SERPINE1</i>, <i>GPC3</i>, <i>SRPX</i>) were identified. …”
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Efficient and Accurate Zero-Day Electricity Theft Detection from Smart Meter Sensor Data Using Prototype and Ensemble Learning by Alyaman H. Massarani, Mahmoud M. Badr, Mohamed Baza, Hani Alshahrani, Ali Alshehri

“…Smart meter data is compressed using Principal Component Analysis (PCA) and K-means clustering to extract representative consumption patterns, i.e., prototypes, achieving a 92% reduction in dataset size while preserving critical anomaly-relevant features. …”
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A protein-based classifier for differentiating follicular thyroid adenoma and carcinoma by Yaoting Sun, He Wang, Lu Li, Jianbiao Wang, Wanyuan Chen, Li Peng, Pingping Hu, Jing Yu, Xue Cai, Nan Yao, Yan Zhou, Jiatong Wang, Yingrui Wang, Liqin Qian, Weigang Ge, Mengni Chen, Feng Yang, Zhiqiang Gui, Wei Sun, Zhihong Wang, Minghua Ge, Yi He, Guangzhi Wang, Yongfu Zhao, Huanjie Chen, Xiaohong Wu, Yuxin Du, Wenjun Wei, Fan Wu, Dingcun Luo, Xiangfeng Lin, Haitao Zheng, Xin Zhu, Bei Wei, Jiafei Shen, Jincao Yao, Zhennan Yuan, Tong Liu, Jun Pan, Yifeng Zhang, Yangfan Lv, Qiaonan Guo, Qijun Wu, Tingting Gong, Ting Chen, Shu Zheng, Jingqiang Zhu, Hanqing Liu, Chuang Chen, Hong Han, Sathiyamoorthy Selvarajan, Michael Mingzhao Xing, Kennichi Kakudo, Erik K Alexander, Yijun Wu, Yu Wang, Dong Xu, Hao Zhang, Xiu Nie, Oi Lian Kon, N Gopalakrishna Iyer, Zhiyan Liu, Yi Zhu, Haixia Guan, Tiannan Guo, We-TEC Investigators

“…Abstract Differentiating follicular thyroid adenoma (FTA) from carcinoma (FTC) remains challenging due to similar histological features separate from invasion. This study developed and validated DNA- and/or protein-based classifiers. …”
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A Reliable Molecular Diagnostic Tool for CA90 (<i>Castanea sativa</i> × <i>Castanea crenata</i>) Hybrid Identification Through SSR by Toufiq Soale Yussif, Nadine Evora da Cruz, Valentim Coelho, Eugénia Gouveia, Altino Branco Choupina

“…We used 35 chestnut samples, including three CA90 controls, hybrids sampled within Portugal, with an aim to define the profiles of the chestnut hybrids and varieties in this study based on band patterns and SSR motifs. We selected and modified nine distinct SSR primers with null allelic features from 43 already developed simple sequence repeat (SSR) markers. …”
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Multiscale Contextual Mamba: Advancing Psychiatric Disorder Detection across Multisite Functional Magnetic Resonance Imaging Datasets via State Space Modeling by Shusheng Li, Yang Bo, Yuchu Chen, Jianfeng Cao, Bo Bi, Ting Ma, Chenfei Ye

“…However, existing methods often struggle to capture the long-term dependencies and dynamic patterns inherent in such data, particularly across diverse imaging sites. …”
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Task relevant autoencoding enhances machine learning for human neuroscience by Seyedmehdi Orouji, Vincent Taschereau-Dumouchel, Aurelio Cortese, Brian Odegaard, Cody Cushing, Mouslim Cherkaoui, Mitsuo Kawato, Hakwan Lau, Megan A. K. Peters

“…We thus developed a Task-Relevant Autoencoder via Classifier Enhancement (TRACE) designed to identify behaviorally-relevant target neural patterns. …”
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Comparative and phylogenetic analyses using mitogenomes revealed gene re-arrangement of Boletaceae (Boletales) by Xianyi Wang, Jiawei Tao, Zhongyao Guo, Guoyu Wang, Guangyin Xu, Yaping Wang, Yaohang Long, Hongmei Liu

“…Thus, a comparative analysis of the mitogenomic features of seven Boletaceae species, representing seven distinct genera, was conducted. …”
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Impact of Normalization Techniques on Synthetic Load Profile Generation Using Deep Generative Models by Luis H. T. Bandoria, Walquiria N. Silva, Madson C. De Almeida

“…Results based on statistical and temporal metrics indicate that Max-Abs normalization consistently yields more accurate and stable synthetic profiles across all models and datasets, while Robust and Quantile methods often degrade essential distributional features. These findings highlight the critical role of normalization in developing effective synthetic data generation pipelines for power system applications.…”
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A microhistological key for the identification of plant fragments in herbivore droppings from Mongolia’s steppe and semi-desert. by Bayarmaa Chuluunbat, Gantumur Khuderchuluun, Munkhtulga Dariganga, Nyambayar Batbayar, Badamdorj Bayartogtokh

“…This study examined 93 plant species, focusing on epidermal cell types, stomatal patterns, trichomes, and specialized cells. Key anatomical features, such as elongated, lobed, and angular epidermal cells, along with various stomatal configurations, were essential for plant identification, with anomocytic stomata being particularly prevalent. …”
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Risk factors of mild behavioral impairment: a systematic review by Song Lin Tang, Song Lin Tang, Ponnusamy Subramaniam, Ching Sin Siau, Agnes Shu Sze Chong, Fang Liu

“…Forty-one human studies meeting predefined inclusion criteria were selected through dual independent screening.ResultsFive key domains emerged: (1) Genetic susceptibility (APOE ε4 allele showing strongest association), (2) Motor system pathology (particularly Parkinsonian features), (3) Multisensory deficits (auditory impairment demonstrating bidirectional relationships), (4) Metabolic dysregulation (diabetes mellitus and frailty phenotypes), and (5) Neuroanatomical correlates (frontolimbic atrophy patterns on MRI). …”
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