Planning and layout of tourism and leisure facilities based on POI big data and machine learning. by Shifeng Wu, Jiangyun Wang, Yinuo Jia, Jintian Yang, Jixiu Li

“…Key findings include: Firstly, compared with the existing tourism and leisure facilities, the fitting degree tested by the machine learning algorithm is 83.5%, suggests that the proposed method is highly feasible. …”
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Hydraulic support pressure-posture fusion analysis technology for deep complex environment working faces by GONG Shixin

“…Compared to the hydraulic supports at both ends of the working face, the hydraulic support in the middle had the smallest mining height, while the hydraulic support at the tail had the largest mining height. …”
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Using Known Births to Account for Delayed Marking in Population Estimation of North Atlantic Right Whales by Daniel W. Linden

“…The birth‐integrated J‐S model had more accurate terminal‐year estimates of right whale population size that remained consistent during subsequent model fitting to additional years of sightings data. While the bias corrections were fairly small (5%) given low per capita calving rates, the demonstrated improvement in accuracy will be helpful to the conservation and management processes for this endangered species. …”
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Gene circuit analysis of the terminal gap gene huckebein. by Maksat Ashyraliyev, Ken Siggens, Hilde Janssens, Joke Blom, Michael Akam, Johannes Jaeger

“…Gap gene circuits are mathematical models of gene networks used as computational tools to extract regulatory information from spatial expression data. This is achieved by fitting the model to gap gene expression patterns, in order to obtain estimates for regulatory parameters which predict a specific network topology. …”
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Association between dietary nutrient intake and sleep disorders in hypertensive patients: a cross-sectional study of NHANES, 2005–2020 by Aokai Tian, Yafang Zheng, Jing Jin, Chunyuan Huang

“…BackgroundDietary nutrient intake is critical for healthy sleep patterns, but studies in hypertensive patients are lacking. …”
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Spatial occurrence-intensity modeling of dengue incidence in southernmost provinces of Thailand. by Apiradee Lim, Lumpoo Ammatawiyanon, Haris Khurram, Phattrawan Tongkumchum, Don McNeil

“…The occurrence-intensity model gives a much better fit to the data and highlights that the gender-age patterns of occurrence and intensity are different. …”
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GDText-VM: an arbitrary-shaped scene text detector based on globally deformable VMamba by Yingnan Zhao, Zheng Hu, Fangqi Ding, Jielin Jiang, Xiaolong Xu

“…Unlike the original VMamba, GDText-VM integrates deformable convolutions to enhance focus on local regions and reduces reliance on cross-shaped activation patterns. Additionally, to improve the capability of GDText-VM to fit text contours in the Fourier domain, this study introduces an innovative Global Attention Shuffle Module (GASM). …”
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Threshold of phenylacetylglutamine changes: exponential growth between age and gut microbiota in stroke patients by Yang Liu, Yang Liu, Min Chu, Delong Wang, Qian Li, Jixian Lin, Jing Zhao

“…Below this age, no significant association between age and PAGln was observed (P = 0.5394), while above 71, a significant exponential increase in PAGln levels was detected (P < 0.0001). …”
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Dynamic multidimensional pressure deformation in the waist-abdomen region of young women by Xing Zheng, Xiaoyun Liu, Yunyun Hu, Yuqing Shi, Mengyun Zhang, Jun Zhang

“…Clothing pressure was measured in both standing and sitting postures, while 3D models of the waist-abdomen region were generated using 3D body scanning to capture body deformation patterns. …”
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Optimal Selection Criterion for Runoff Component Models Based on Benefit-Risk Balance by DING Xiao-ling, HU Wei-zhong, TANG Hai-hua, LUO Bin, FENG Kuai-le

“…For instance, models incorporating periodic components demonstrated superior fitting accuracy compared to those containing only trend or mutation terms, which in turn outperformed multi-year average models, while the stability of accuracy changes followed the opposite trend. …”
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A quality-of-service evaluation method based on the cloud model for routing protocols in wireless sensor network by Wenxian Jiang, Chenzhe Gu, Jingjing Wu

“…A single index does not adequately reflect the real quality of service while an excessive number of indices increase the complexity of the evaluation model. …”
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Timing of cochlear implantation in large vestibular aqueduct syndrome–a retrospective cohort analysis by Xiao Liu, Wanting Huang, Yunxiu Wang, Jingjing Xu, Lulu Xie, Lin Liu, Jia Chen

“…CI timing was comparable among different hearing loss progression patterns. Finally, among patients meeting CI criteria but still benefiting from HA, while those who directly underwent CI had an earlier age at implantation, their interval from IAA to CI was similar to those who initially underwent HA fitting.ConclusionThe majority of LVAS patients experience progressive hearing loss and undergo CI during early childhood. …”
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Where do new words like boobage, flamage, ownage come from? Tracking the history of ‑age words from 1100 to 2000 in the OED3 by Chris A. Smith

“…In the final section these productivity concerns were extended to contemporary English via a Web Crawler corpus so as to investigate whether ‑age forms continue to exhibit similar behaviour or whether new patterns can be determined. Three major findings stand out.1) So-called obsolete vage forms in the OED3 are not obsolete after all, showing the remarkable productivity and adaptability of ‑age forms over the centuries;2) ‑age words follow a reliable semantic pattern, fitting into four main categories of ACTION / RESULT, TAX / RIGHTS / PAYMENT, STATUS / POSITION, COLLECTIVE / QUANTITY. …”
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Retrieval of Dissolved Organic Carbon Storage in Plateau Lakes Based on Remote Sensing and Analysis of Driving Factors: A Case Study of Lake Dianchi by Yufeng Yang, Wei Gao, Yuan Zhang

“…Interannual analysis reveals wind speed and forest coverage as dominant drivers, while monthly variations correlate strongly with water temperature. …”
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Linear and Machine Learning modelling for spatiotemporal disease predictions: Force-of-Infection of Chagas disease. by Julia Ledien, Zulma M Cucunubá, Gabriel Parra-Henao, Eliana Rodríguez-Monguí, Andrew P Dobson, Susana B Adamo, María-Gloria Basáñez, Pierre Nouvellet

“…ML methods will help characterise the mean behaviour of the estimates, while LM will provide insight into the uncertainty surrounding such estimates. …”
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Toward a physics-guided machine learning approach for predicting chaotic systems dynamics by Liu Feng, Yang Liu, Benyun Shi, Jiming Liu

“…However, these methods rely solely on historical observations while ignoring the underlying mechanisms that govern the systems' behaviors. …”
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Q-factor Estimation Method Based on Time-varying Wavelet by Daming GE, Jianguo SONG

“…This leads to significant errors in Q values derived from linear fitting, which fail to meet the requirements for lithological interpretation and pore fluid prediction. …”
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Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis by Shangke Liu, Ke Liu, Zheng Wang, Yuanyuan Liu, Bin Bai, Rui Zhao

“…Firstly, the Transformer model is introduced to capture the complex patterns in cimate data time series through its powerful sequence modeling capabilities. …”
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Modeling the Hydrological Process of the Genale Dawa-3 Dam Watershed, Ethiopia by Ashenafi Dechasa, Wakjira T. Dibaba, Alemu O. Aga, Mezgebu Geme Worku, Miliyon Dida Feye, Firaol Bedada Kopesa, Bekele Terefe Gebisa, Brook Legese, Amare Tura Abate

“…Evapotranspiration was found to account for 64.66% of precipitation loss, while surface runoff, groundwater flow, and water yield were each responsible for 12.62%, 9.47%, and 32.28% of the annual water balance, respectively. …”
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A novel multi-step methodology for stochastic simulation of streamflow time series using PcStream clustering by Shalini Balaram, Roshan Srivastav, K Srinivasan

“…A Markov chain model regenerates cluster series while the nearest neighbour approach fills them with historical data. …”
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