A Scene–Object–Economy Framework for Identifying and Validating Urban–Rural Fringe Using Multisource Geospatial Big Data by Ganmin Yin, Ying Feng, Yanxiao Jiang, Yi Bao

“…Furthermore, the integration of dynamic population data as a separate layer of analysis offers a unique perspective on population distribution patterns within the identified fringes. This research contributes to the field by offering a more robust and objective approach to urban–rural fringe identification, laying the groundwork for improved urban management and sustainable development strategies. …”
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Deep learning-based debris flow hazard detection and recognition system: a case study by Fei Wu, Jianlin Zhang, Dunlong Liu, Andreas Maier, Vincent Christlein

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Impact of Coenzyme Q10 on Mitochondrial Metabolism: A Complementary Study Using Fluorescence Lifetime Imaging and Electron Microscopy by Johannes Georg Wieland, Nilanjon Naskar, Kirsten Reess, Daniela Nobre Sarmento dos Santos, Julia M. Weise, Thomas Blatt, Sebastian Kordes, Paul Walther, Angelika Rück

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BCTDNet: Building Change-Type Detection Networks with the Segment Anything Model in Remote Sensing Images by Wei Zhang, Jinsong Li, Shuaipeng Wang, Jianhua Wan

“…We first construct a dual-feature interaction encoder that employs SAM to extract image features, which are then refined through trainable multi-scale adapters for learning architectural structures and semantic patterns. …”
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East Asian Welfare Regimes 東アジア福祉制度 by Joseph Wong, Andrew DeWit, Ito Peng

“…The issues are particularly fascinating in light of the literature on the developmental state, pioneered by the late Chalmers Johnson, which highlights each of these countries as examples of state intervention in charting economic development.The “East Asian exceptionalism” literature has generally explained these low levels of explicit state support for welfare through culture, politics, and “productivism.” …”
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A novel flexible near-infrared endoscopic device that enables real-time artificial intelligence fluorescence tissue characterization. by Gareth Gallagher, Ra'ed Malallah, Jonathan P Epperlein, Jeffrey Dalli, Niall Hardy, Abhinav Jindal, Pol G MacAonghusa, Ronan A Cahill

“…Here, to close this technical gap, we present our development of a colonoscope-compatible flexible imaging probe for NIR-ICG visualization combined with a full field of view machine learning (ML) algorithm for fluorescence quantification and perfusion pattern cross-correlation (including first in human testing). …”
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Modeling of spatial spread of COVID-19 pandemic waves in Russia using a kinetic-advection model by V. V. Aristov, A. V. Stroganov, A. D. Yastrebov

“…The aim of the present work is to construct a mathematical model for the spread of the pandemic and identify patterns under the assumption that Moscow comprises the main source of viral infection in Russia. …”
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Deep Learning for the Early Diagnosis of Candidemia by Daniele Roberto Giacobbe, Sabrina Guastavino, Anna Razzetta, Cristina Marelli, Sara Mora, Chiara Russo, Giorgia Brucci, Alessandro Limongelli, Antonio Vena, Malgorzata Mikulska, Alessio Signori, Antonio Di Biagio, Anna Marchese, Ylenia Murgia, Marco Muccio, Nicola Rosso, Michele Piana, Mauro Giacomini, Cristina Campi, Matteo Bassetti

“…Further exploration of candidemia prediction using laboratory features through machine learning techniques remains a promising area of research, serving as a valuable complement to the development of large-scale models that also incorporate clinical features.…”
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Application of Deep Learning Algorithm for Web Shell Detection in Web Application Security System by Rezky Yuranda, Edi Surya Negara

“…Through preprocessing techniques such as opcode extraction and feature selection, useful pattern recognition for web shell detection is achieved. …”
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Coupling Coordination Evaluation of Ecological Security in Coal Resource-Exhausted Villages by Pingjia Luo, Tianlong Liu, Haiyang Cao, Hao Chen, Weixi Chen

“…It innovatively constructs a comprehensive evaluation model based on “resilience support—state characteristics—response mechanism” and integrates coupling coordination degree analysis with grey relational analysis to quantitatively reveal the spatio-temporal differentiation features and driving mechanisms of ecological security coupling coordination in coal resource-depleted rural areas. …”
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Fault diagnosis and inference of hoist main bearing based on transfer learning and ontology by Fei DONG, Di ZHANG, Kunpeng GE, Junjie CHEN, Xinyue XU

“…Firstly, the collected bearing vibration signals are processed, and it uses continuous wavelet transform to decompose the original vibration signals and extract two-dimensional time-frequency images; secondly, to adaptively extract deep features from both the source and target domains, the pre-trained and fine-tuning approaches are employed for convolutional neural networks transfer learning, and it constructs a transfer convolutional neural network model to achieve adaptive extraction of deep features from both domains; then, a new supervised domain adaptation method is proposed, integrating dynamic joint distribution adaptation with enhanced separability, to further reduce the distribution differences between deep feature sets of the source and target domains while effectively enhancing the separability of feature data; finally, a patterns recognition classifier is trained based on the source domain features after domain adaptation, which achieves fault patterns recognition in the target domain. ② Hoist main bearing fault knowledge reasoning based on ontology. …”
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Divergent Photoperiodic Responses in Hypothalamic <i>Dio3</i> Expression and Gonadal Activity Between Offspring and Paternal Brandt’s Voles by Lewen Wang, Zhengguang Li, Ying Song, Ning Li, Xiao-Hui Liu, Dawei Wang

“…The postnatal development of gonadal glands in seasonal breeders, particularly small rodent species, is influenced by photoperiodic patterns. …”
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Cognitive and neuropsychiatric disorders in extrapyramidal diseases by O. S. Levin, M. A. Anikin, E. E. Vasenina

“…The basis for these disorders are most commonly dysfunction of one or a few parallel frontostriatal circuits combining the basal ganglia with the thalamus, limbic structures, frontal and other cortical regions into the uniform functional system. The pattern of neuropsychological disorders has both specific and common features, the discussion of which is the subject matter of this paper. …”
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Land degradation vulnerability modelling for landscape restoration planning in Eastern DR Congo using the analytical hierarchy process (AHP) and geospatial techniques by Jean Nacishali Nteranya, Andrew Kiplagat, Elias K. Ucakuwun, Chantal Kabonyi Nzabandora

“…Land degradation is a major issue for attainment of sustainable development in Eastern DR Congo. This study aims to assess and model the spatial pattern of land degradation vulnerability (LDV) in this region through the application of the Analytical Hierarchy Process (AHP) and geospatial techniques by using the Kalehe territory as a case study. …”
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The construction of HMME-PDT efficacy prediction model for port-wine stain based on machine learning algorithms by Hongxia Yan, Yixin Tan, Fan Qiao, Zhuotong Zeng, Yaqian Shi, Xueqin Zhang, Lu Li, Ting Zeng, Yi Zhan, Ruixuan You, Xinglan He, Rong Xiao, Xiangning Qiu

“…The patients were divided into the training cohort and the validation cohort based on the order of their enrollment. Key clinical features were selected using recursive feature elimination (RFE). …”
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NK‐type large granular lymphocyte leukemia comes of age by Gianpietro Semenzato, Antonella Teramo, Gregorio Barilà, Giulia Calabretto, Elisa Rampazzo, Elena Buson, Renato Zambello

“…This review aims to present the latest insights into genetic, biological, and clinical features of this disorder. In particular, recent advances in genetics and epigenetics, along with emerging knowledge into the role of microenvironment, have uncovered new vulnerabilities in leukemic cells. …”
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Optical Fiber Vibration Signal Recognition Based on the EMD Algorithm and CNN-LSTM by Kun Li, Yao Zhen, Peng Li, Xinyue Hu, Lixia Yang

“…This method successfully addresses the challenge of φ-OTDR pattern recognition and provides valuable insights for the development of practical engineering products.…”
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Multifractal based topological characterization of perovskite crystal and predictive analysis on its physical properties by K. Yogalakshmi, D. Easwaramoorthy

“…It provides a numerical representation of certain physical and chemical features on the crystal structure. Additionally, topological indices are frequently used by chemical scientists to determine the strain energy, melting and boiling points, distortion, and stability of chemical substances. …”
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DIET OF YOUNG PEOPLE WITH PREDIABETES by Наталья Васильевна Тапешкина, Наталья Сергеевна Алексеева, Сергей Николаевич Филимонов

“…The presence of bad habits, lifestyle features, motor activity and diet was assessed according to a specially developed questionnaire. …”
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Experimental Study on Circulation Cooling in Novel Diaphragm Compressor by Yang Qiaoming, Wang Gaofeng, Zhao Zhaorui

“…To promote the development of hydrogen fuel cells, this paper designs a new diaphragm compressor that features diaphragm head wrap-around cooling. …”
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