An urban road traffic flow prediction method based on multi-information fusion by Xiao Wu, Hua Huang, Tong Zhou, Yudan Tian, Shisen Wang, Jingting Wang

“…Abstract Accurate traffic flow prediction not only relies on historical traffic flow information, but also needs to take into account the influence of a variety of external factors such as weather conditions and the distribution of neighbouring POIs. …”
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Spatial Variation of Hypsometric Analysis in Nerwa Watershed by Hozan Sadiq Mawlood

“… The hypsometric analysis (area-relief analysis) of drainage basins is an effective method for measuring the percentage of subsurface materials remaining in watersheds and highlighting the influence of slope leveling factors on them. This study aims to highlight the spatial variation of the values of the hypometric curve and hypsometry integral in the Nirwa basin and its sub-watersheds, and to detect the correlation and the influence degree between the values and the factors influencing them, The importance of the study lies in the fact that it discusses the results of applying mathematical equations to account the values of the hypsometric analysis that indicate the percentage of remaining land masses and the general topographical characteristics of the basin and their exposure to erosion factors, indicating the results in percentage and supported by a graph. …”
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Analysis of Gear Dynamic Characteristic of Oil Churning Resistance under Stochastic Disturbance by Wenyu Liu, Yongguo Sun, Guangbin Yu, Valerii Tupolev, Wei Liu

“…Considering the viscoelasticity of the lubricant oil will result in additional resistance upon gears immersed in the oil while running at high-speed，and the gear system can get disturbed at all times due to self-exciting vibration and other factors. Thus，considering the backlash，time-varying mesh stiffness，transmission error，stochastic disturbances，oil churning resistance and other nonlinear factors， compares and analyzes the influence of oil churning resistance upon dynamic characteristics of the gear system under stochastic disturbance by establishing a nonlinear dynamic model of straight gears with 6 degrees of freedom and using by Lagrange method using the bifurcation diagram，phase diagram，Poincarè diagram，time-history graph and dynamic load factors （DLF） obtained by the R-K method. …”
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Investigating the Expression Level of CCAT2 and BIM Genes in Colorectal Cancer Patients by Alireza Rangin, Fatemeh Jenagh

“…Another crucial molecular factor in cancer is non-coding RNAs, which influence protein-coding genes such as oncogenes and tumor suppressor genes. …”
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Data-driven causal behaviour modelling from trajectory data: A case for fare incentives in public transport by Yuanyuan Wu, Alex Markham, Leizhen Wang, Liam Solus, Zhenliang Ma

“…The results highlight that the purely data-driven causal discovery method can produce reasonable causal graph. The method can also quantify the behavioural impacts of the incentive, identify key influencing factors, and estimate the corresponding causal effects. …”
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MODULATING EFFECT OF THE −158 GΓ (C→T) XMN-1 POLYMORPHISM IN INDIAN SICKLE CELL PATIENTS by Sanjay Pandey, Sweta Pandey, Rahasya Mani Mishra, Renu Saxena

“…<p>Xmn-1 polymorphism is a known factor, which increases fetal haemoglobin production. …”
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Comparing the Accuracy of Different Wearable Activity Monitors in Patients With Lung Cancer and Providing Initial Recommendations: Protocol for a Pilot Validation Study by Roberto M Benzo, Rujul Singh, Carolyn J Presley, Macy K Tetrick, Zachary L Chaplow, Chloe M Hery, Jane Yu, Peter Washington, Frank J Penedo, Electra D Paskett, Vipul Lugade, Emma Fortune

“…Validated survey instruments will be administered both before and after WAM data collection to control for potential confounding factors that may influence movement patterns and device accuracy. …”
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CONSUMER PRICE INDEX MODELING USING A MIXED TRUNCATED SPLINE AND KERNEL SEMIPARAMETRIC REGRESSION APPROACH by Lilik Hidayati, Mustika Hadijati, Nur Asmita Purnamasari, Ristiandi Ristiandi, Ni Nyoman Dewi Kartini

“…The data used in this research includes the consumer price index and the factors that influence it according to districts/cities in NTB Province from 2022 to April 2024. …”
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Investigating the contribution of geometrical parameters and immersion time on fracture toughness of jute fabric composites using statistical techniques by G. B. Manjunatha, K. N. Bharath

“…The influence of fracture parameters of control factors can be analysed by using 3-D response surface graph (RSM). …”
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Advanced statistical modelling of tribological performance in Ni-based thermal spray coatings: A definitive screening approach by Shubhangi Suryawanshi, Digvijay G. Bhosale, Sanjay Rukhande, Hitesh Vasudev

“…The optimization graph showed that the best responses for the input factors HVOF deposition technique, 270 °C, a load of 30 N, sliding time of 90 min, sliding distance 1001 m and sliding velocity of 1.5 m/s, and were wear depth as 94 μm and 0.39 of friction coefficient, respectively.…”
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SPOCK1 promotes the progression of breast cancer by modulating cancer-associated fibroblasts and exerts a synergistic effect with ANXA2 by Yuan Jie, Xin Fei, Meng Fan

“…Furthermore, SPOCK1-high CAFs exhibited stronger intercellular communications with malignant cells via collagen, fibronectin, and IGFBP signaling pathways, alongside distinct transcription factor and metabolic profiles. In breast cancer CAF cell lines with knockdown of ANXA2 we found that the expression of both SPOCK1 and IGF1 was reduced.ConclusionSPOCK1 serves as a critical regulator of breast cancer progression, influencing tumor metastasis and reshaping the immune microenvironment via CAF-mediated mechanisms. …”
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Spatiotemporal DeepWalk Gated Recurrent Neural Network: A Deep Learning Framework for Traffic Learning and Forecasting by Jian Yang, Jinhong Li, Lu Wei, Lei Gao, Fuqi Mao

“…Third, there are many other factors besides the influence of spatiotemporal dependence, such as semantic characteristics. …”
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Dictionary-based Block Encoding of Sparse Matrices with Low Subnormalization and Circuit Depth by Chunlin Yang, Zexian Li, Hongmei Yao, Zhaobing Fan, Guofeng Zhang, Jianshe Liu

“…Moreover, in our protocol, the subnormalization, a scaled factor that influences the measurement probability of ancillary qubits, is minimized to $\sum_{l=0}^{s_0}\vert A_l\vert$, where $s_0$ denotes the number of classifications in the dictionary and $A_l$ represents the value of the $l$-th classification. …”
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Geometric and topological characterization of the cytoarchitecture of islets of Langerhans. by Manu Aggarwal, Deborah A Striegel, Manami Hara, Vipul Periwal

“…Dysfunction in their secretion and/or counter-regulatory influence leads to diabetes. Debate in the field centers on the cytoarchitecture of islets, as the signaling that governs hormonal secretion depends on structural and functional factors, including electrical connectivity, innervation, vascularization, and physical proximity. …”
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A Critical Review of the Carbon–Energy Nexus Within the Construction Sector’s Embodied Emissions: A Case Study in the United Arab Emirates by Yara Al Jundi, Hassam Nasarullah Chaudhry

“…It addresses the challenges associated with the variability in standards, methodologies, and emission factors used in embodied carbon assessments, which contribute to discrepancies and impede the development of cohesive carbon reduction strategies. …”
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Elements of artificial intelligence in a predictive personalized model of pharmacotherapy choice in patients with heart failure with mildly reduced ejection fraction of ischemic or... by O. A. Osipova, A. V. Kontsevaya, V. V. Demko, E. V. Gosteva, A. A. Komisov, А. A. Kuzub, A. V. Serdyukova, A. S. Brizhaneva, R. N. Shepel, O. M. Drapkina

“…Patients underwent echocardiography and were analyzed for serum aldosterone (AL), tumor necrosis factor-α (TNF-α), matrix metalloproteinase 9 (MMP-9). …”
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Raising active children: how family and school shape health-promoting physical activity—findings from the FAMIPASS study by Michal Vorlíček, Jan Dygrýn, David Janda, Jaroslava Voráčová, Scott Duncan, Erik Sigmund, Dagmar Sigmundová

“…Active transport to school emerged as a key factor associated with higher child activity levels specifically in the time segment before school. …”
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GCV-SLAM: Ground Constrained Visual SLAM Through Local Ground Planes by Yu Fan, Peng Zhang, Zhi Wang, Chengbao Liu, Guang Zhang

“…To avoid the over-parameterization problem in the graph-factor-based optimization process, the Closest Point(CP) representation is adopted to describe the local ground plane. …”
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Learning High-Order Features for Fine-Grained Visual Categorization with Causal Inference by Yuhang Zhang, Yuan Wan, Jiahui Hao, Zaili Yang, Huanhuan Li

“…A novel high-order feature learning framework with causal inference is developed to enhance FGVC. A causal graph tailored to FGVC is constructed, and the causal assumptions of baseline models are analyzed to identify confounding factors. …”
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MLAL: Multiple Prompt Learning and Generation of Auxiliary Labeled Utterances for Emotion Recognition in Conversations by Zhinan Gou, Yuxin Chen, Yuchen Long, Mengyao Jia, Zhili Liu, Jun Zhu

“…Existing research primarily strives for effective sequence and graph structure to model utterance and interaction. …”
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