Long-term trajectory prediction method based on highway vehicle-following behavior patterns by Zhichao An, Yimin Wu, Fan Zhang, Dong Zhang, Bolin Gao, Suying Zhang, Guang Zhou, Aoning Jia

“…To address existing shortcomings such as short time domains and low interpretability, this study proposes a long-term trajectory prediction model for leading vehicles that considers the impact of traffic flow. …”
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Spatiotemporal Pattern Analysis and Prediction of Carbon Storage Based on Land Use and Cover Change: A Case Study of Jiangsu Coastal Cities in China by Ge Shi, Yutong Wang, Jingran Zhang, Jinghai Xu, Yu Chen, Wei Chen, Jiahang Liu

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Prediction Model of Household Carbon Emission in Old Residential Areas in Drought and Cold Regions Based on Gene Expression Programming by Shiao Chen, Yaohui Gao, Zhaonian Dai, Wen Ren

“…To support the national goals of carbon peaking and carbon neutrality, this study proposes a household carbon emission prediction model based on Gene Expression Programming (GEP) for low-carbon retrofitting of aging residential areas in arid-cold regions. …”
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Modeling the Impact of Between-lot and Within-lot Variability in Listeria monocytogenes Contamination on Risk Reduction From Sampling Ready-to-eat Foods by Yuhuan Chen, Régis Pouillot, Jane M. Van Doren

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Spatiotemporal pattern evolution and quantitative prediction of electrical carbon emissions from a demand-side perspective in urban areas by Ying Tian, Hui Cao, Dapeng Yan, Jinmei Chen, Yayan Hua

“…Abstract Amid global climate change, analyzing spatiotemporal patterns and predicting urban demand-side electrical carbon emissions is vital for regional low-carbon transitions. …”
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Liquid–liquid–solid three-phase flow in horizontal wells: flow pattern modeling and dimensionless analysis by Hamed Nejati, Saeed Shad, Sasan Yousefirad, Aras Sheikhi

“…Such dimensionless numbers have been used to propose an accurate model to predict different flow regimes as well as the transition condition between these flow patterns. …”
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Model of Gait Control in Parkinson’s Disease and Prediction of Robotic Assistance by Clemence Vandamme, Virginie Otlet, Renaud Ronsse, Frederic Crevecoeur

“…Furthermore, we used this model to predict the potential benefit of an active orthosis on the gait pattern of patients. …”
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Distribution Pattern and Change Prediction of <i>Luprops orientalis</i> (Coleoptera: Tenebrionidae) Suitable Area in East Asia Under Climate Change by Jieqiong Wang, Shuangyi Wang, Yunchun Li, Shuangmei Ding, Zhonghua Wei, Aimin Shi, Ding Yang

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Challenges in developing reliable phosphorus predictive models: Unpredictable release under soil redox changes by Filippo Saiano, Riccardo Scalenghe

“…When an environmental or anthropogenic transformation induces anoxia, the P released does not follow a predictable pattern.…”
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Development technologies and models of different types of gas reservoirs in Ordos Basin, NW China by Ailin JIA, Dewei MENG, Guoting WANG, Guang JI, Zhi GUO, Naichao FENG, Ruohan LIU, Suqi HUANG, Shuai ZHENG, Tong XU

“…Four key directions of future research and technological breakthroughs are proposed: (1) Utilizing dual-porosity (fracture-matrix) modeling techniques in low-permeability carbonate reservoirs to delineate the volume and distribution of remaining gas in secondary pay zones, supporting well pattern optimization and production enhancement of existing wells. (2) Integrating well-log and seismic data to characterize reservoir spatial distribution of successive strata, enhancing drilling success rates in low-permeability sandstone reservoirs. (3) Utilizing the advantages of horizontal wells to penetrate effective reservoirs laterally, achieving meter-scale quantification of small-scale single sand bodies in tight gas reservoirs, and applying high-resolution 3D geological models to clarify the distribution of remaining gas and guide well placement optimization. (4) Further strengthening the evaluation of deep coal-rock gas in terms of resource potential, well type and pattern, reservoir stimulation, single-well performance, and economic viability.…”
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Noise Reduction Mechanism and Spectral Scaling of Slat Gap Filler Device at Low Angle of Attack by Yingzhe Zhang, Peiqing Liu, Baohong Bai

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Prediction of litchi flower induction in South China region based on the CMIP6 climate model by HOU Wei, ZHANG Liuhong, ZHANG Lei, LUAN Lan, ZHANG Mingjie, WANG Xiuzhen, ZHANG Hui

“…In recent years, the flowering rate of medium-late maturing litchi varieties in the low-latitude regions of South China has generally been low, resulting in a pronounced alternative-bearing years with high and low production. …”
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Using Permutation-Based Feature Importance for Improved Machine Learning Model Performance at Reduced Costs by Adam Khan, Asad Ali, Jahangir Khan, Fasee Ullah, Muhammad Faheem

“…Our experiments covered six diverse Software Fault Prediction (SFP) datasets, encompassing various software features, application domains, and defect patterns, to evaluate the approach&#x2019;s generalizability and effectiveness. …”
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Spatiotemporal pattern and driving factors of atmospheric CO2 concentrations based on satellite remote sensing from 2001 to 2022 in central Yunnan plateau by Yunling He, Xiaohua Zhang, Ning Pu, Chunyan Wu, Wu Tang

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Which Parameter Related to Low-Density Lipoprotein Cholesterol is Superior for Predicting the Recurrence of Myocardial Infarction in Young Patients with Previous Coronary Heart Dis... by Feng Xu, Hao-Ran Xing, Hong-Xia Yang, Jin-Wen Wang, Xian-Tao Song, Hui-Juan Zuo

“…While LDL-C <1.8 mmol/L at baseline showed a slightly lower cumulative incidence of MI than LDL-C ≥1.8 mmol/L, the difference was not statistically significant (log-rank p = 0.335). Reductions in LDL-C levels of ≥50% and the patterns of change did not correlate with decreased MI risk. …”
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Histological Grade, Tumor Breadth, and Hypertension Predict Early Recurrence in Pediatric Sarcoma: A LASSO-Regularized Micro-Cohort Study by Alexander Fiedler, Mehran Dadras, Marius Drysch, Sonja Verena Schmidt, Flemming Puscz, Felix Reinkemeier, Marcus Lehnhardt, Christoph Wallner

“…PCA mapping revealed distinct outlier patterns correlating with high-risk profiles. <b>Conclusions</b>: Even in a small cohort, classical prognostic markers, such as tumor grade and size, retained predictive relevance, while hypertension emerged as a novel, potentially modifiable cofactor or indicator for recurrence. …”
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Prediction of Urban Construction Land Carbon Effects (UCLCE) Using BP Neural Network Model: A Case Study of Changxing, Zhejiang Province, China by Qinghua Liao, Xiaoping Zhang, Zixuan Cui, Xunxi Yin

“…The results demonstrate that the BP neural network model effectively predicts the different types of UCLCE, with an average error rate of 30.10%. (1) The total effect and intensity effect exhibit different trends in the study area, and a carbon effect table for different types of UCL is established. (2) The spatial distribution characteristics of UCLCE reveal a distinct reverse-L pattern (“┙”-shaped layout) with positive spatial correlation (Moran’s I = 0.11, <i>p</i> < 0.001). (3) The model’s core practical value lies in enabling forward-looking assessment of carbon effects in urban planning schemes and precise quantification of emissions reduction benefits. …”
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Experimental Study on the Influence Patterns of Buildings Displaced and Buried by Debris Flow by FENG Lei, SONG Dongri, CHEN Xiaoqing, LIU Jia, CHEN Qian, LIU Yunhui

“…ObjectiveThis study clearly determines the physical characteristic factors that govern the displacement and burial of buildings by debris flow, and clarifies the impact patterns of these physical characteristic factors on the deposition positions of buildings in debris flow. …”
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Experimental Analysis of Rainfall-Induced Instability and Failure Patterns in Loess Fill Slopes by Jinlian Ma, Qian Wang, Xiumei Zhong, Ping Wang, Xiaohui Yang

“…These results offer valuable guidance for the design of support systems and drainage infrastructure in loess fill slopes, and provide practical insights for early-warning systems, hazard prediction, and disaster risk reduction strategies.…”
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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

“…Our results showed no significant global differences in DNA methylation levels between young, mature, and old individuals, nor any age-related clustering in dimensionality reduction analyses. 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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