The role of common dyadic coping as mediator between attachment styles and marital satisfaction in transition to parenthood by Mahira Syafana Kuswanto, Adriana Soekandar Ginanjar, Pingkan Cynthia Belinda Rumondor

“…This study uses a type of correlational research because correlational research is used to see the predictive relationship between variables. The measures used in this study are Experiences in Close Relationships - Revised (ECR-R), Couple Satisfaction Index (CSI), and Dyadic Coping Inventory (DCI). …”
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Integrated Network Pharmacology and Experimental Validation Approach to Investigate the Therapeutic Effects of Capsaicin on Lipopolysaccharide-Induced Acute Lung Injury by Peihui Liu, Jindou Hao, Jie Zhao, Rong Zou, Juan Han, Jia Tian, Wanqu Liu, Hao Wang

“…The potential key genes and signaling pathways involved in the therapeutic effect of Cap were predicted by the network pharmacology analyses. Additionally, the histological assessment, ELISA, and RT-qPCR were performed to confirm the therapeutic effect and the potential mechanism action involved. …”
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A Semisupervised Cascade Classification Algorithm by Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos Sgarbas

“…The main characteristic of Cascade Classifier strategy is the use of a base classifier for increasing the feature space by adding either the predicted class or the probability class distribution of the initial data. …”
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Estimation of the Compressive Strength of Self-Compacting Concrete (SCC) by a Machine Learning Technique Coupling with Novel Optimization Algorithms by Ling Chen, Wengang Jiang

“…The factor of Compressive Strength (CS), which is one of the vital mechanical variables in structure immunization, can be computed either through costly tests or predictive models. Intelligent systems can appraise CS based on ingredients’ data fed to the models. …”
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Rice Breeding for High Grain Yield under Drought: A Strategic Solution to a Complex Problem by Shalabh Dixit, Anshuman Singh, Arvind Kumar

“…Recent trends in climate change have predicted a further increase in drought intensity, making the development of new drought-tolerant rice cultivars critical to sustain rice production in this ecosystem. …”
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Time-Dependent Effects of Glaze Ice on the Aerodynamic Characteristics of an Airfoil by Narges Tabatabaei, Michel J. Cervantes, Chirag Trivedi

“…This work studies the performance of unsteady Reynolds-averaged Navier-Stokes (URANS) simulations in predicting the oscillations over an iced airfoil. The structure and size of time-averaged vortices are compared to measurements. …”
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A Bayesian Inference‐Based Empirical Model for Scintillation Indices for High‐Latitude by K. Meziane, A. Kashcheyev, P. T. Jayachandran, A. M. Hamza

“…Although the model tends to underestimate the actual phase index measurements, 95% of the validated events are predicted with an error less than 0.034 rad in σΦ. …”
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Personality profile of high-performing leaders: a BFI-2 analysis by Cristian PANAIT

“…The study validates the utility of the BFI-2 in identifying personality traits that are predictive of success in exercising leadership in high-stress environments; it also highlights the distinction between leaders and the mean of the general population on these traits. …”
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Influence of Caprock Morphology on Solubility Trapping during CO2 Geological Sequestration by Pradeep Reddy Punnam, Balaji Krishnamurthy, Vikranth Kumar Surasani

“…In the future, the simulation data using Artificial Neural Networks can be applied to predict the structural and solubility trapping of geological formations. …”
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A machine learning driven computationally efficient horse shoe shaped antenna design for internet of medical things. by Umhara Rasool Khan, Javaid A Sheikh, Aqib Junaid, Shazia Ashraf, Altaf A Balkhi

“…In this article, regression-based Machine learning (ML) techniques are used to facilitate the design of Horse shoe shaped patch antenna to predict the frequency of operation, radiation efficiency and Specific Absorption Rate (SAR) values to accelerate its design process for on-body applications. …”
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Numerical Simulation Modeling of Carbonate Reservoir Based on Rock Type by Peiqing Lian, Cuiyu Ma, Bingyu Ji, Taizhong Duan, Xuequn Tan

“…Logs are utilized to predict rock types of noncored wells, and a three-dimensional (3D) rock type model has been established based on the well rock type curves and the sedimentary facies constraint. …”
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Maximizing network throughput by cooperative reinforcement learning in clustered solar-powered wireless sensor networks by Yujia Ge, Yurong Nan, Xianhai Guo

“…The cooperative strategy of Q -learning and SARSA( λ ) is applied in this multi-agent environment based on the node residual energy, the predicted harvested energy for the next time slot, and cluster head energy information. …”
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Effect Observation of Comprehensive Pulmonary Rehabilitation Therapy combined with Acupoint Application in Elderly Patients with COPD by Houmei TANG, Xiaohong GU, Juan DENG

“…The control group was treated with comprehensive pulmonary rehabilitation therapy, the observation group was treated with comprehensive pulmonary rehabilitation therapy combined with acupoint application therapy on the basis of control group.After treatment for three years, the immune functions of natural killer cells (NK), interferon-γ (IFN-γ) and tumor necrosis factor-α (TNF-α) in two groups were evaluated; the clinical symptoms of cough, expectoration and dyspnea were evaluated by visual simulation score (VAS);the quality of life was evaluated by BODE index;and observe the adverse reactions.Results:Compared with treatment before, NK, FEV₁percentage of predicted value, 6-minute walking distance (6MWD) in the two groups increased significantly, IFN-γ, TNF-α, cough, sputum and dyspnea scores reduced significantly, and the improvement degree of the observation group was significantly better than that of the control group, with statistically significant difference (<italic>P</italic>&lt;0.05).Conclusion:Comprehensive pulmonary rehabilitation therapy combined with acupoint application can improve the immune function of elderly patients with COPD, alleviate clinical symptoms, and improve exercise endurance and quality of life..…”
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Determinants and Outcomes of Emergency Caesarean Section following Failed Instrumental Delivery: 5-Year Observational Review at a Tertiary Referral Centre in London by Sian McDonnell, Edwin Chandraharan

“…A ‘failed instrumental delivery score’ (FIDS) may aid practitioners in predicting an increased likelihood of a failed operative vaginal birth and therefore to consider a trial of operative vaginal delivery in the theatre. …”
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Convergence of nanotechnology and artificial intelligence in the fight against liver cancer: a comprehensive review by Manjusha Bhange, Darshan Telange

“…Simultaneously, AI contributes to improved diagnostic accuracy, predictive modeling, and the development of personalized treatment strategies. …”
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Fracture toughness of matrix cracked FRC and FGC beams using equivalent TPFM by A.A. Elakhras, M.H. Seleem, H.E.M. Sallam

“…The results showed that the predicted values of KICobtained from ETPFM are considered appropriate according to the maximum size of the non-damaged defect concept. …”
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Model-free current control solution employing intelligent control for enhanced motor drive performance by Muhammad Usama, Jaehong Kim

“…Unlike conventional model predictive current control (MPCC), which is computationally expensive because of solving optimization problems at each sample time, and requires precise plant models, the proposed method enhances system performance by addressing plant model discrepancies through data-driven techniques. …”
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Models, systems, networks in economics, engineering, nature and society by A.A. Sapogov

“…In addition, this model makes it possible to predict changes when the qualitative parameters included in the calculation shift. …”

A Choice Behavior Model of Bike-Sharing Based on User Perception, Psychological Expectations, and Loyalty by Xingjian Xue, Zixu Wang, Xuejiao Liu, Zhou Zhou, Rui Song

“…The results of the analysis indicate that loyalty to bike sharing was predicted by all of the studied constructs except for gender. …”
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Coverage Analysis for RIS-Assisted Two-Tier HetNets With Repulsion by Changshan Chen

“…Finally, we find that the CP of the TU in the real RIS-aided HetNet can be well predicted with high accuracy by our analysis in the numerical results, in which the performance comparison under different cases for different operation models of RIS is also conducted to provide a guidance for the effective utilization of RIS in practical HetNet.…”
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