Permanent and seasonally specific surface heat island structure in urban and non-urban areas in mid-latitude polycentric agglomeration based on Landsat images by Aleksandra Renc, Ewa Łupikasza

“…Seasonal variability was a significant feature of SHI structure, particularly in its non-urban part, which was driven mainly by the vegetation annual cycle and altitude-dependent snow cover distribution in winter. …”
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Dissecting biological heterogeneity in major depressive disorder based on neuroimaging subtypes with multi-omics data by Lili Tang, Rui Tang, Junjie Zheng, Pengfei Zhao, Rongxin Zhu, Yanqing Tang, Xizhe Zhang, Xiaohong Gong, Fei Wang

“…We identified three neuroimaging-based MDD subtypes, each characterized by unique ALFF pattern alterations compared to HC. Multi-omics analysis showed a strong genetic predisposition for Subtype 1, primarily enriched in neuronal development and synaptic regulation pathways. …”
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Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks by Magdalena Fafrowicz, Marcin Tutajewski, Igor Sieradzki, Jeremi K. Ochab, Jeremi K. Ochab, Anna Ceglarek-Sroka, Koryna Lewandowska, Tadeusz Marek, Barbara Sikora-Wachowicz, Igor T. Podolak, Paweł Oświęcimka, Paweł Oświęcimka, Paweł Oświęcimka

“…The best performance was achieved by the LGBM classifier with 1-time point input data during memory retrieval and a convolutional neural network during the encoding phase. Additionally, we developed an algorithm that took into account feature correlations to estimate the most important brain regions for the model's accuracy. …”
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Heterogeneity in recombination rates and accessory gene co-occurrence distinguish Pseudomonas aeruginosa phylogroups by Samara T. Choudhury, Kathryn R. Piper, Manuela Montoya-Giraldo, Odion O. Ikhimiukor, Jeremy R. Dettman, Rees Kassen, Cheryl P. Andam

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A Novel Technique for Facial Recognition Based on the GSO-CNN Deep Learning Algorithm by Rana H. Al-Abboodi, Ayad A. Al-Ani

“…The necessary features are selected using the gray level co-occurrence matrix (GLCM), which separates the statistical texture features. …”
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The precipitous decline of a gray fox population by Max R. Larreur, Clayton K. Nielsen, Damon B. Lesmeister, Guillaume Bastille-Rousseau

“…We then developed three predictive occupancy models that allowed comparison of gray fox spatial patterns and occupancy estimates over time. …”
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Clinical characteristics of COVID-19 in children and adolescents: insights from an Italian paediatric cohort using a machine-learning approach by Carlo Giaquinto, Daniela Paolotti, Daniele Donà, Stefania Fiandrino, Piero Poletti, Michael Davis Tira, Costanza Di Chiara

“…It aims to identify patterns in COVID-19 morbidity by clustering individuals based on symptom similarities and duration of symptoms and develop a machine-learning tool to classify new cases into risk groups.Methods We propose a data-driven approach to explore changes in COVID-19 characteristics by analysing data from 581 children and adolescents collected within a paediatric cohort at the University Hospital of Padua. …”
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Addressing the emerging threat of Oropouche virus: implications and public health responses for healthcare systems by Olalekan John Okesanya, Blessing Olawumi Amisu, Olaniyi Abideen Adigun, Mohamed Mustaf Ahmed, Abdulmajeed Opeyemi Agboola, Tolga Kab, Gilbert Eshun, Bonaventure Michael Ukoaka, Tolutope Adebimpe Oso, Jerico Bautista Ogaya, Don Eliseo Lucero-Prisno

“…This paper delves into the epidemiology, clinical features, and transmission patterns of OROV, shedding light on the difficulties in diagnosing and managing the disease. …”
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Deep learning for video-based assessment of endotracheal intubation skills by Jean-Paul Ainam, Erim Yanik, Rahul Rahul, Taylor Kunkes, Lora Cavuoto, Brian Clemency, Kaori Tanaka, Matthew Hackett, Jack Norfleet, Suvranu De

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Mapping urban functional zones with remote sensing and geospatial big data: a systematic review by Shouhang Du, Xiuyuan Zhang, Yichen Lei, Xin Huang, Wei Tu, Bo Liu, Qingyan Meng, Shihong Du

“…Spatial analysis units encompass regular grids, road blocks, image segmentation units, traffic analysis zones, and buildings. Data features consist of the remote sensing image-derived features (such as visual, spatial pattern, and abstract features) and the geospatial big data-derived features (such as spatial, attribute, and temporal features). …”
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Entropy, Irreversibility, and Time-Series Deep Learning of Kinematic and Kinetic Data for Gait Classification in Children with Cerebral Palsy, Idiopathic Toe Walking, and Hereditar... by Alfonso de Gorostegui, Massimiliano Zanin, Juan-Andrés Martín-Gonzalo, Javier López-López, David Gómez-Andrés, Damien Kiernan, Estrella Rausell

“…The classification accuracy of these features was compared to a ResNet Deep Learning model. …”
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Short and Medium-Term Power Load Anomaly Detection Method Based on Convolutional Neural Network and EL-DCC by Zhipeng Li, Shaobo Liu, Yang Zhang, Zhaowei Wang, Lu Wang, Lu Huang

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Initial Discoveries from the Rhizoliths Petrified Forest of Chania by Emmanouil Manoutsoglou

“…The preservation of rhizolith structures and associated sedimentary features provides valuable insight into the Quaternary paleoenvironment, including former vegetation patterns, soil stabilization processes, and paleoclimatic conditions. …”
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Leveraging open source land use and land cover data for urban and regional planning in transforming areas by Florian Klopfer, Dietwald Gruehn

“…We show spatially differentiated patterns of combined ES pronunciation, constraints for settlement development, and the suitability for the mentioned land use categories being meaningful in both the detailed and the reduced representation. …”
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Multi-tool copy number detection highlights common body size-associated variants in miniature pig breeds from different geographical regions by Jan Berghöfer, Nadia Khaveh, Stefan Mundlos, Julia Metzger

“…Conclusion This investigation of the CNV landscape of minipigs underlines the impact of selective breeding on structural variants and its role in the development of specific breed phenotypes across geographical areas. …”
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Progress in research on the effects of environmental factors on natural forest regeneration by Jiabo Liu

“…Current studies indicate that the natural forest regeneration process is influenced by a multitude of environmental factors, including light availability, water resources, wind patterns, soil properties, geography features and groundcover. …”
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Transportation carbon emission efficiency network formation mechanism and spatial structural complexity analysis: Evidence from China by Lin Liu, Yuming Liu, Rong Zhao

“…The growing intricacy and expansion of the transportation network structure present challenges to achieving low-carbon development and sustainable growth in China's regional transportation industry. …”
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Structural bioinformatics approaches for predicting novel drug targets in hepatitis C virus proteins: a comprehensive analysis by Miao Qu, Mingzhu Gao, Xisheng Sang, Miao Yu, Zihe Guan, Weizhi Chang

“…While experimental validation is needed, these results contribute to the development of novel anti-HCV therapeutics and highlight potential strategies for targeted intervention.…”
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Unraveling Parkinson's disease motor subtypes: A deep learning approach based on spatiotemporal dynamics of EEG microstates by Lin Meng, Deyu Wang, Jun Ma, Yu Shi, Hongbo Zhao, Yanlin Wang, Qingqing Shi, Xiaodong Zhu, Dong Ming

“…Conclusions: This study presents a novel framework for differentiating PD motor subtypes and emphasizes dynamic brain network features as potential markers for understanding motor symptom variability in PD, which may contribute to the development of personalized treatment strategies.Trial registration: ChiCTR2300067657.…”
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Komi-Permian Views on the Characters of Legends Yuksya, Puksya, Chadz and Bach by Tatiana Goleva

“…They stand out for their joint activities. These features developed due to folklore patterns of text development and folk customs. …”
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