T-cell receptor dynamics in digestive system cancers: a multi-layer machine learning approach for tumor diagnosis and staging by Changjin Yuan, Bin Wang, Hong Wang, Fang Wang, Xiangze Li, Ya’nan Zhen

“…High-throughput TCR sequencing was performed to capture TCR beta (TRB), delta (TRD), and gamma (TRG) chain data. Tissue-specific patterns in TCR repertoire features, such as V-J gene recombination, complementarity-determining region 3 (CDR3) sequences, and motif distributions, were analyzed. …”
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Effectiveness of using a slider-crank mechanism for waffle background milling by I. N. Drozdov, A. Yu. Popov

“…The paper presents the design of an experimental cutting tool feed drive based on a slider-crank mechanism. A feature of the technology of milling a regular waffle background pattern is the need for regular repetition of cells, usually rectangular shape. …”
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Testing different function fitting methods for mobile eye-tracker calibration by Börn Severitt, Thomas Kübler, Enkelejda Kasneci

“…We investigate how different fitting methods impact accuracy under different noise factors, such as mobile eye-tracker imprecision or detection errors in feature extraction during calibration. For this purpose, a simulation of binocular gaze was developed for a) different calibration patterns and b) different noise characteristics. …”
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Prediction of crystalline structure evolution during solidification of aluminum at different cooling rates using a hybrid neural network model by Rafi B. Dastagir, Shorup Chanda, Farsia K. Chowdhury, Shahereen Chowdhury, K. Arafat Rahman

“…By combining the temporal pattern descriptors of LSTMs with the feature extraction potential of convolutional neural networks (CNN), the hybrid Conv1D-LSTM model achieves higher accuracy in predicting crystal structural evolution curves, in contrast to the performance of standalone LSTM and CNN models. …”
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Tipping the balance: robustness of tip cell selection, migration and fusion in angiogenesis. by Katie Bentley, Giovanni Mariggi, Holger Gerhardt, Holger Gerhardt, Paul A Bates

“…A novel filopodia-adhesion driven migration mechanism is presented and validated against in vivo data. Due to the unique feature of ongoing lateral inhibition, 'stabilised' tip/stalk cell patterns show sensitivity to the formation of new cell-cell junctions during fusion: we predict cell fates can reverse. …”
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Construction and characterization of cultural landscape genomic maps of traditional miao communities in Leigong Mountain by Han Gu, Hongyu Chen, Yiting Luo, Ke Xu

“…This study clarifies the spatial distribution pattern of the cultural landscape genome of traditional gMiao villages in Leigong Mountain by constructing an atlas and identifying the relationship between the mutual influences of various elements during the development and evolution of the villages. …”
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Research and analysis of urban-rural residential carbon emissions in China by Ailin Liang, Zhao Tian, Chengzhi Xiang

“…The per capita residential carbon emissions of urban areas are relatively low, while the per capita residential carbon emissions of rural areas are relatively high, show a distribution pattern of rural>urban-rural fringe >urban. The results can help the Chinese government balance the needs of urban-rural development in different levels of cities, so as to formulate targeted carbon emission reduction policies and achieve low-carbon goals.…”
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Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies and techniques by Chinna Gopi Simhadri, Hari Kishan Kondaveeti, Valli Kumari Vatsavayi, Alakananda Mitra, Preethi Ananthachari

“…Image processing techniques are used to extract features from diseased leaf images, such as the color, texture, vein patterns, and shape of lesions. …”
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Classification of power grip and precision grip in children using an EIT-based tactile sensor by Ryunosuke Asahi, Shumpei Toriyama, Yasuyo Minagawa, Shunsuke Yoshimoto, Hiroki Sato

“…The average classification accuracy exceeded 85% for both feature types, surpassing the chance level of 50%. …”
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LiMMCov: An interactive research tool for efficiently selecting covariance structures in linear mixed models using insights from time series analysis. by Perseverence Savieri, Lara Stas, Kurt Barbé

“…This paper details the development and features of LiMMCov, demonstrates its application with an example dataset, and discusses its potential impact on research. …”
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Pedagogical models of blended learning: On the experience of Russian and foreign practice of design and implementation by T. Yu. Pletyago, A. S. Ostapenko, S. N. Antonova

“…Each type of these models is described; their features, peculiarities and advantages are shown. It is concluded that there is no unified approach in understanding the essence of blended learning. …”
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Carbon use efficiency of alpine grasslands affected by grazing exclusion and local environmental context in Tibet, China by Yunfei Feng, Jianshuang Wu, Meng Li, Ben Chen, Minyahel Tilahun, Xianzhou Zhang

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Handling Sensor Faults in Hydroponics: A Deep Learning Imputation Technique for Accurate Tomato Yield Prediction by Viji Venugopal, Paresh Tanna, Ramesh Karnati

“…DLPIM introduces a feature encoder-based generator with a 4-headed self-attention mechanism and a Crop Growth Rate (CGR) guided temporal processor to capture complex time-series patterns while maintaining physiological consistency. …”
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Interpretation of Cultural Landscape Layering and Assessment of Heritage Value of Urban Historical Parks: A Case Study of Xiamen Zhongshan Park by Xufang LI, Xiangpin ZHOU, Feifan WENG

“…In view of this, it is necessary to link the natural and cultural heritage resources in the Park, establish a systematic framework for interpreting the value of heritage, and revitalize the styles and features of historical landscapes.ConclusionThis research examines Xiamen Zhongshan Park as a living cultural landscape heritage, and explores the processes, patterns, and mechanisms of cultural landscape heritage superposition across different periods from a dynamic evolutionary perspective. …”
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Characteristics of phase synchronization in electrohysterography and tocodynamometry for preterm birth prediction by Jae-Hwan Kang, Young-Ju Jeon, In-Seon Lee, Junsuk Kim

“…This study suggests the critical role of EHG signals and their intricate spatiotemporal patterns in predicting preterm birth, providing insights for the development of more accurate and efficient prediction models.…”
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MESS to live with schizophrenic parental history: A systematic review of developmental checkpoints. by Maryam Khan, Rabia Batool, Uzma Mushtaq, Shakir Iqbal, Sana Shaheen, Aimen Zafar Butt, Anees Ahmed

“…Parental history of schizophrenia, a complex and multifaceted psychological disorder, is recognized as a well-established risk factor in the development of the disorder among offspring. However, the developmental patterns of such children and adolescents before the onset of the problem have not yet been systematically documented. …”
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A novel deep learning approach to field-road semantic segmentation by Bei Wang, Wenze Wang

“…This study presents a deep learning framework that implements a novel semantic segmentation model designed to segment field-road trajectories, addressing the marked differences in spatial characteristics. The developed AI approach integrates transformer and semantic technologies to create an advanced semantic encoder that generates high-quality semantic prior maps and associated mask features. …”
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Source-sink system analysis and sedimentary model of Cretaceous Yageliemu Formation in Xinhe area, northern Tarim Basin by HAO Jianlong, YANG Yufang, LI Shuai, ZHANG Li, MENG Luying, BI Xiaolong, YANG Qinchao

“…The geological distribution pattern of favorable reservoirs in clastic rocks is a key challenge restricting efficient exploration and development. …”
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Spatiotemporal Changes and Driving Mechanisms of Cropland Reclamation and Abandonment in Xinjiang by Yuling Fang, Shixin Wu, Guanyu Hou, Weiyi Long

“…Since China’s reform and opening up in 1978, the reclamation and abandonment of cropland in Xinjiang have become significant features of the land use change in the arid land of Northwest China. …”
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NEW STYLE OF THE CULTURAL HERITAGE by N. M. Mamedova

“…It is caused by deep-seated patterns of culture itself, increased integration in all spheres of society. …”
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