An interpretable machine learning approach for predicting and grading hip osteoarthritis using gait analysis by Qing Yang, Xinyu Ji, Yuyan Zhang, Shaoyi Du, Bing Ji, Wei Zeng

“…Purpose The purpose of this study is to evaluate the efficacy of lower extremity kinematic gait data for detecting and rating the severity of unilateral hip OA using machine learning algorithms. Methods First, a feature extraction framework is developed to derive several discriminative spatiotemporal and nonlinear features from lower extremity kinematic gait data. …”
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Coupling relationship between land use transition and rural transformation development: A case study of county-level regions in Jiangsu Province by GE Dazhuan, WANG Rumin, LU Xiaoxue

“…[Results] (1) During the study period (2000-2020), the land use transition and rural transformation development development in counties of Jiangsu Province presented a pattern of evolving from low-speed heterogeneity to high-speed homogeneity, characterized by the macroscopic features of leading in some local areas and an orderly gradient improvement. (2) The coupling relationship of land use transition and rural transformation development in Jiangsu Province had undergone two stages: Transition from the province’s imbalance to partial low coupling, then from low coupling to high coupling. …”
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Development and validation of the multidimensional machine learning model for preoperative risk stratification in papillary thyroid carcinoma: a multicenter, retrospective cohort s... by Jia-Wei Feng, Lu Zhang, Yu-Xin Yang, Rong-Jie Qin, Shui-Qing Liu, An-Cheng Qin, Yong Jiang

“…SHAP analysis revealed CT texture features, ultrasound morphological features, and immune-inflammatory markers as key predictors, with consistent patterns across validation sites despite center-specific variations. …”
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Predicting CO₂ Emissions with Advanced Deep Learning Models and a Hybrid Greylag Goose Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally, S. K. Towfek

“…First, experiments showed that ensemble machine learning models such as CatBoost and Gradient Boosting addressed static features effectively, while time-dependent patterns proved more challenging to predict. …”
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Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Ko... by Kin On Kwok, Bahman Davoudi, Steven Riley, Babak Pourbohloul

“…Based on this approach, we extend the existing methodology; the most recent method features intra- and inter-age groups contact heterogeneity. …”
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Advancing digital soil mapping with multi-year crop cover data: Impacts on model accuracy and soil interpretation by Babak Kasraei, Margaret G. Schmidt, Daniel D. Saurette, Chuck E. Bulmer, Jin Zhang, Travis Pennell, Kingsley John, Brandon Heung

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Crop domestication and improvement reshape root traits and the structure and function of their associated microbiome by Xiaoming HE, Frank HOCHHOLDINGER, Xingping CHEN, Peng YU

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Modeling of competitive interactions: basic regularities. Part 1 by S. Yu. Malkov

“…Objective: to analyze the general patterns of socio-economic and political dynamics (both within society and in interstate relations) caused by the presence of competition between key economic and political actors.Methods: methods of mathematical dynamic modeling were used to study competitive interactions.Results: the attitude to competition as a social phenomenon is ambiguous. …”
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Dynamical modeling of syncytial mitotic cycles in Drosophila embryos by Laurence Calzone, Denis Thieffry, John J Tyson, Bela Novak

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Research on glass imitation jade culture in the ancient Chinese Silk Road by Sai Huang, Ziyi Wang, Junyi Zhu

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A spatial analysis of gating in Bloemfontein, South Africa by Ferreira Verno, Visser Gustav

“…Metropolitan areas in South Africa have also witnessed a rapid increase in the number and spread of gated developments since the late 1980s. Development of enclosed neighbourhoods has become increasingly popular, gaining widespread support for their utopic lifestyle and safety features. …”
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Development and validation of an interpretable multi-task model to predict outcomes in patients with rhabdomyolysis: a multicenter retrospective cohort studyResearch in context by Chunli Liu, Jie Shi, Fengjuan Wang, Duo Li, Yu Luo, Bofan Yang, Yunlong Zhao, Li Zhang, Dingwei Yang, Heng Jin, Jie Song, Xiaoqin Guo, Haojun Fan, Qi Lv

“…Twenty-two clinical features available within the first 24 h of admission were selected to develop the prediction models. …”
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THE ROLE OF UNEVEN BLOOD OXYGEN SATURATION AND OTHER PERFUSION PARAMETERS IN DEVELOPMENT OF HEMOLYSIS AFTER ON-PUMP CORONARY ARTERY BYPASS GRAFT SURGERY by SVETLANA P. Chumakova, VLADIMIR M. Shipulin, OLGA I. Urazova, VIATCHESLAV V. Novitskiy, SVETLANA E. Barmina

“…After the surgery, such pattern was also observed in patients with moderate hemolysis. …”
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Deep learning for vision screening in resource-limited settings: development of multi-branch CNN for refractive error detection based on smartphone image by Muhammad Syauqie, Muhammad Syauqie, Harry Patria, Sutanto Priyo Hastono, Kemal Nazaruddin Siregar, Nila Djuwita Farieda Moeloek

“…Grad-CAM visualization was employed to provide insights into the model’s interpretability.ResultsThe 3-branch CNN architecture demonstrated superior performance, achieving an overall test accuracy of 91%, precision of 96%, and recall of 98%, with an area under the curve (AUC) score of 0.9896. Its multi-scale feature extraction pathways were pivotal in effectively addressing overlapping red reflex patterns and subtle variations between classes.ConclusionThis study establishes the feasibility of smartphone-based photorefractive assessment integrated with artificial intelligence for scalable and cost-effective vision screening. …”
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Smart crop disease monitoring system in IoT using optimization enabled deep residual network by Ashish Saini, Nasib Singh Gill, Preeti Gulia, Anoop Kumar Tiwari, Priti Maratha, Mohd Asif Shah

“…Preprocessing is done on the input images using median filtering. Various features, such as Histogram of Oriented Gradient (HoG), statistical features, Spider Local Image Features (SLIF), and Local Ternary Patterns (LTP) are extracted. …”
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MetaBiome: a multiscale model integrating agent-based and metabolic networks to reveal spatial regulation in gut mucosal microbial communities by Javad Aminian-Dehkordi, Andrew Dickson, Amin Valiei, Mohammad R. K. Mofrad

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Spatial scale effects on the trade-offs and synergies of ecosystem services in China’s Huaihe river basin by Yaowen Chang, Yunpeng Wang, Li Yuan, Xiaoyou Yao, Ronghua Zhang, Xia Liu, Zhaofei Fan, Jiayu Guo

“…The relationship between WP and other ESs developed in the trade-off direction, and the other ES optimized in the collaborative direction. …”
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Development and validation of a radiomics-based model for early prediction of delayed radiological recovery from Mycoplasma pneumoniae pneumonia: a multicenter study by Zijun Song, Liyong Zhuo, Jiawei Hao, Huan Meng, Tianda Wang, Jian Zhang

“…Conclusion The MPP delayed recovery prediction model, based on 16 radiomics features, D-dimer, SII, and a consolidation pattern, showed excellent predictive performance. …”
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Influence of the South Asian High and Western Pacific Subtropical High Pressure Systems on the Risk of Heat Stroke in Japan by Takehiro Morioka, Kenta Tamura, Tomonori Sato

“…Therefore, understanding weather patterns, along with their impacts on human health, is critically important for developing effective public health measures. …”
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Does Higher Grade Indicate More Complex Language Usage? Exploring Syntactic Complexity Development Among High School EFL Learners by Weiran Wang (王威然), Wenjuan Qin (秦文娟), Linyi Wang (王琳艺)

“…Originality/Value The study portrays the developmental patterns of SC within and across grade levels, highlighting both group trends and individual variability in language development. …”
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