Research progress and prospects for constructing ecological security pattern based on ecological network by Xu Dong, Fang Wang, Meichen Fu

“…As global ecological problems become increasingly prominent, the construction of ecological security pattern (ESP) has become particularly important for ensuring regional ecological security, coordinating social and economic development, and improving the livelihood and well-being of people. …”
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Predicting large-scale spatial patterns of marine meiofauna: implications for environmental monitoring by Fabiane Gallucci, Gustavo Fonseca, Danilo C Vieira, Luciana Erika Yaginuma, Paula Foltran Gheller, Simone Brito, Thais Navajas Corbisier

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Predicting large-scale spatial patterns of marine meiofauna: implications for environmental monitoring by Fabiane Gallucci, Gustavo Fonseca, Danilo C Vieira, Luciana Erika Yaginuma, Paula Foltran Gheller, Simone Brito, Thais Navajas Corbisier

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Functional MRI Assessment of Brain Activity Patterns Associated with Reading in Medulloblastoma Survivors by Josue L. Dalboni da Rocha, Ping Zou Stinnett, Matthew A. Scoggins, Samuel S. McAfee, Heather M. Conklin, Amar Gajjar, Ranganatha Sitaram

“…This longitudinal study investigates neurofunctional changes related to reading in medulloblastoma survivors in comparison to controls using functional MRI acquired during rapid automatized naming tasks over three annual visits. Support vector machine classification of functional MRI data reveals a progressive divergence in brain activity patterns between medulloblastoma survivors and healthy controls over time, suggesting delayed effects of cancer treatment on brain function. …”
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Talking Wikidata: Communication Patterns and Their Impact on Community Engagement in Collaborative Knowledge Graphs by Koutsiana, Elisavet, Reklos, Ioannis, Alghamdi, Kholoud Saad, Jain, Nitisha, Meroño-Peñuela, Albert, Simperl, Elena

“…We study collaboration patterns of Wikidata, one of the world's largest open source collaborative knowledge graph (KG) communities. …”
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Predicting Crime Time Intervals Using Machine Learning Models by Arief Deswandi, Widi Hastomo

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Quantum Neural Network Based Machine Translator for Hindi to English by Ravi Narayan, V. P. Singh, S. Chakraverty

“…This paper presents the machine learning based machine translation system for Hindi to English, which learns the semantically correct corpus. …”
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Genome-wide DNA methylation patterns in Daphnia magna are not significantly associated with age by Ruoshui Liu, Marco Morselli, Lev Y. Yampolsky, Leonid Peshkin, Matteo Pellegrini

“…Attempts to construct an epigenetic clock using machine learning models did not yield accurate age predictions, likely due to the overall low DNA methylation levels and lack of robust age-associated methylation changes. …”
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Transformed common spatial pattern for motor imagery-based brain-computer interfaces by Zhen Ma, Kun Wang, Minpeng Xu, Minpeng Xu, Minpeng Xu, Weibo Yi, Fangzhou Xu, Dong Ming, Dong Ming

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Spatiotemporal patterns and climate-induced macroeconomic burden of malaria in sub-Saharan Africa by Tianen Yao, Xinyu Yang, Huaixiao Ye, Yida Wang, Xiaoyi Yu, Yuxin Huang, Ming Xu

“…Finally, the uncertainty in the relationship between weather patterns and malaria burden was tested for robustness using Bayesian statistics. …”
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Spatiospectral dynamics of electroencephalography patterns during propofol-induced alterations of consciousness states by Xuan Li, Dezhao Liu, Zheng Li, Rui Wang, Xiaoli Li, Tianyi Zhou

“…Our methods yielded six dynamical patterns that continuously reflect the neural activity changes in specific brain regions and frequency bands under propofol sedation. …”
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Interpretable machine learning models classify minerals via spectroscopy by R. Smith, Tyler L. Spano, Marshall McDonnell, Lance Drane, Ian Gibbs, Andrew Miskowiec, J. L. Niedziela, Ashley E. Shields

“…Traditionally, analysis relies on pattern matching the Raman spectrum of an unknown dataset with a supporting library of well-characterized spectral data, which may prove difficult for environmental samples that are poorly crystalline or phase mixtures. …”
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Unsupervised spatiotemporal classification of deformation patterns of embryonic tissues matches their fate map by David Pastor-Escuredo, Benoît Lombardot, Thierry Savy, Adeline Boyreau, René Doursat, Jose M. Goicolea, Andrés Santos, Paul Bourgine, Juan C. del Álamo, María J. Ledesma- Carbayo, Nadine Peyriéras

“…Digital cell lineages reconstructed from 4D images of developing zebrafish embryos are used to infer representative tissue deformation patterns and their association with developmental events. …”
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Pneumatic Sucker-Rod Machine for Dispersing Solid Mineral Fertilizers by V. A. Makarov, O. I. Zhuravleva, A. V. Shemyakin

“…It was determined that the quality of fertilizer dispersing with a pneumatic sucker-rod machine is mainly aff ected by the uniformity of their supply by reel-type units to the air stream and rods with holes, and the pattern of fertilizer distribution to ejectors depending on the distance between them. …”
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A Novel Support Vector Machine with Globality-Locality Preserving by Cheng-Long Ma, Yu-Bo Yuan

“…Support vector machine (SVM) is regarded as a powerful method for pattern classification. …”
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Identifying the quantum properties of hadronic resonances using machine learning by Jakub Filipek, Shih-Chieh Hsu, John Kruper, Kirtimaan Mohan, Benjamin Nachman

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Tooth Cutting Machining of Cycloid Coupling based on Monolithic Cutter by Zhiyong Wang, Wenhao Yu, Ying Zhang, Yiyu Zeng

“…Through the use of monolithic cutter to process the cycloid coupling on domestic CNC bevel gear cutting machine，the correctness and feasibility of cutting principle and processing method is verified by tooth profile error measurement and contact pattern inspection.…”
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Evaluation of Machine Learning Models for Enhancing Sustainability in Additive Manufacturing by Waqar Shehbaz, Qingjin Peng

“…Initially, experimental data are generated by systematically varying key AM parameters, layer height, infill density, infill pattern, build orientation, and number of shells. …”
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The Extreme Value Support Measure Machine for Group Anomaly Detection by Lixuan An, Bernard De Baets, Stijn Luca

“…Group anomaly detection is a subfield of pattern recognition that aims at detecting anomalous groups rather than individual anomalous points. …”
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An Overview and Classification of Machine Learning Approaches for Radar Signal Deinterleaving by Louis Lesieur, Jean-Marc Le Caillec, Ali Khenchaf, Vincent Guardia, Abdelmalek Toumi

“…As radar signals are more complex and observations are denser, new Machine Learning (ML) approaches appear in the literature to enhance traditional Radar Signal Deinterleaving (RSD). …”
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