Features of the functioning of regional airports in the context of the development of the Russian air transportation market by I. N. Rykova, A. A. Alaev, R. S. Gubanov

“…The applied methods of monographic and economic-statistical analysis, rating assessment provided the identification of patterns of changes in the results of airport operations. …”
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Does rail transit access affect firm dynamics? Analysis of firm births and closures in Maryland, USA by Basheer Saeed, Hiroyuki Iseki

“…From 1991 to 2009, areas within close proximity to passenger rail stations in Maryland experienced a wide range of rates of growth in firm density, depending on the year of station opening. …”
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A dynamic early warning model based on LSTM-AM for property-based elderly care resource shortages in urban-rural integrated counties in China by Qingheng Sun

“…Traditional early warning models struggle to dynamically capture the supply-demand fluctuation patterns of property-based elderly care resources. …”
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The thermal stress response of Aedes aegypti and Aedes albopictus when exposed to rapid temperature changes by Hunter O. Covey, Randall Wilson, Yaizeth Gurrola-Mares, Joseph R. McMillan, Corey L. Brelsfoard

“…Respiration rates as a measure of thermal stress varied with rearing conditions and exposure temperatures, with notable declines observed as exposure temperatures increased. …”
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Different molecular characteristics and antimicrobial resistance profiles of Clostridium difficile in the Asia-Pacific region by Yun Luo, Elaine Cheong, Qiao Bian, Deirdre A. Collins, Julian Ye, Jeong Hwan Shin, Wing Cheong Yam, Tohru Takata, Xiaojun Song, Xianjun Wang, Mini Kamboj, Thomas Gottlieb, Jianmin Jiang, Thomas V. Riley, Yi-Wei Tang, Dazhi Jin

“…The antimicrobial resistance patterns were significantly different among the eight sites (χ2 = 325.64, p < 0.001). …”
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Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

“…Moreover, the combination of federated learning with basic neural network models like the Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), and Gated Recurrent Unit (GRU) is explored. The results indicate that integrating federated learning can greatly enhance satellite prediction, opening new possibilities for future orbital prediction and space technology development.…”
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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

“…The xLSTM model incorporates two key innovations: exponential gating with memory mixing and a novel matrix memory structure. …”
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Sentiment Analysis and Trend Mapping of Hotel Reviews Using LSTM and GRU by Yerik Afrianto Singgalen

“…This study explores applying Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models for sentiment analysis and trend mapping of hotel reviews, specifically focusing on customer feedback from Hotel Vila Ombak in Lombok, Indonesia. …”
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Phase Wise Classification of Abnormal Gait in Children With Cerebral Palsy Using Hybrid Neural TEMPODE Deep Learning Techniques by Yelle Kavya, S.Sofana Reka

“…The neurological condition known as Cerebral Palsy which affects motor control, frequently results in abnormal gait patterns that have a major negative influence on mobility and quality of life. …”
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DFANet: A Deep Feature Attention Network for Building Change Detection in Remote Sensing Imagery by Peigeng Lu, Haiyong Ding, Xiang Tian

“…Second, we introduce a GatedConv module to improve the network’s capability for building edge detection. …”
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Verbal fluency tests reliability in a Brazilian multicentric study, ELSA-Brasil by Valéria Maria de Azeredo Passos, Luana Giatti, Sandhi Maria Barreto, Roberta Carvalho Figueiredo, Paulo Caramelli, Isabela Benseñor, Maria de Jesus Mendes da Fonseca, Nagela Valadão Cade, Alessandra Carvalho Goulart, Maria Angélica Nunes, Márcia Guimarães de Mello Alves, Ana Angélica Martins da Trindade

“…Intraclass correlation coefficient ratings reliability and Bland-Altman plot examined patterns of ratings disagreement. …”
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D4Care: A Deep Dynamic Memory-Driven Cross-Modal Feature Representation Network for Clinical Outcome Prediction by Binyue Chen, Guohua Liu

“…In addition, we also introduce a memory-aware constrained layer normalization to alleviate the challenges of multi-modal feature heterogeneity. Besides, we use gating mechanisms and dynamic memory components to enable the model to learn feature information of different historical-current patterns, further improving the model’s performance. …”
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Land Use Effects on the Space Use and Dispersal of an Apex Predator in an Ecotone Between Tropical Biodiversity Hotspots by Bernardo Brandão Niebuhr, Sandra M. C. Cavalcanti, Ermeson A. Vilalba, Vanessa V. Alberico, João Carlos Zecchini Gebin, Danilo da Costa Santos, Ananda de Barros Barban, Raphael de Oliveira, Eliezer Gurarie, Ronaldo G. Morato

“…In contrast, movement rates were higher in open pastures, mainly during dispersal. …”
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Global, regional, and national burden of interstitial lung diseases and pulmonary sarcoidosis from 2000 to 2021: a systematic analysis of incidence, mortality, and disability-adjus... by Mi Zhou, Yazhe Zhou, Xin Yang, Kaizhuo Zhou, Xin Zhu

“…Temporal trends were evaluated using Joinpoint regression analysis, and the relationship between disease burden and the sociodemographic index (SDI) was explored by stratifying the data into five SDI categories. Age-standardized rates were calculated to adjust for differences in population structure, and data visualization was performed using R software.ResultsBetween 2000 and 2021, the global burden of ILDs and pulmonary sarcoidosis increased, as reflected by rising age-standardized incidence rates (ASIR), mortality rates (ASMR), and disability-adjusted life years rates (ASDR). …”
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The Development of a Wearable-Based System for Detecting Shaken Baby Syndrome Using Machine Learning Models by Ram Kinker Mishra, Khalid AlAnsari, Rylee Cole, Arin Nazarian, Ilkay Yildiz Potter, Ashkan Vaziri

“…Shaken Baby Syndrome (SBS) is one of the primary causes of fatal head trauma in infants and young children, occurring in about 33 per 100,000 infants annually in the U.S., with mortality rates being between 15% and 38%. Survivors frequently endure long-term disabilities, such as cognitive deficits, visual impairments, and motor dysfunction. …”
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Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques by S. Vijayalakshmi, Binay Kumar Pandey, Digvijay Pandey, Mesfin Esayas Lelisho

“…Abstract Breast cancer remains a major cause of mortality among women, where early and accurate detection is critical to improving survival rates. This study presents a hybrid classification approach for mammogram analysis by combining handcrafted statistical features and deep learning techniques. …”
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An Examination of Water‐Related Melt Processes in Arctic Snow on Tundra and Sea‐Ice by Anika Pinzner, Matthew Sturm, Jennifer S. Delamere, Andrew R. Mahoney

“…We identify seven snow‐water mechanisms that can enhance or inhibit melt rates, all largely controlled by the local topography and the nature of the substrate. …”
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Modeling Riding and Stopping Behaviors at Motorcycle Box Intersections: A Case Study in Chiang Mai City, Thailand by Wachira Wichitphongsa, Nopadon Kronprasert, Moe Sandi Zaw, Pongthep Pisetsit, Thaned Satiennam

“…This research aims to evaluate the traffic performance of motorcycle boxes with respect to motorcycle departure times, headway intervals, lane-filtering rates, and vehicle movement patterns at 12 signalized urban intersections in Chiang Mai, Thailand. …”
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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

“…Among these algorithms, the Two-Class Boosted Decision Tree method demonstrated outstanding prediction ability, achieving a 100% accuracy rating. Its exceptional recall and precision rates highlight its effectiveness in handling challenging classifications. …”
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Evaluation of urinary tract infection agents in intensive care unit patients and monitoring of antimicrobial profile in Gram-negative bacteria by Nazife Akman, Pelin Özmen

“…Due to high resistance rates, the use of carbapenems and quinolones should be avoided in the treatment of A. baumannii. …”
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