Prediction of the tensile strength of FDM specimens based on Tsai Hill criteria by Cosmin Florin Popa, Sergiu Valentin Galatanu, Liviu Marsavina

“…This study investigates the mechanical behavior of 3D-printed polyethylene terephthalate glycol (PETG) polymer specimens subjected to tensile and shear testing, with a particular focus on the influence of raster orientation and shell contour. …”
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Prediction of the tensile strength of FDM specimens based on Tsai Hill criteria by Cosmin Florin Popa, Sergiu Valentin Galatanu, Liviu Marsavina

“… This study investigates the mechanical behavior of 3D-printed polyethylene terephthalate glycol (PETG) polymer specimens subjected to tensile and shear testing, with a particular focus on the influence of raster orientation and shell contour. …”
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Dopaminergic and serotonergic genetic variants predict actions and expectations of cooperation and punishment by Pablo Marcos-Prieto, Erica Ordali, Veronica Mariotti, Sara Palumbo, Stefano Vellucci, Emiliano Ricciardi, Leonardo Boncinelli, Pietro Pietrini, Silvia Pellegrini, Ennio Bilancini

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Digital twin for real-time pressure vessels fatigue life prediction by Izat Khaled, Mohamed Bennebach, Dmytro Vasiukov, Modesar Shakoor, Salim Chaki

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Predicting Drivers’ Eyes-Off-Road Duration in Different Driving Scenarios by Wei Yuan, Zhuofan Liu, Rui Fu

“…It indicates that time series of glance allocations could be used to predict driving behavior and indentify driving environment. …”
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Prediction and Optimization of Rheological Parameters of Potato Starch Modified by Cold Plasma by Ali Taghavi, Azadeh Ranjbar Nedamani, Ali motevali, Hashemi Seyyed Jafar

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Prediction and Application of Computer Simulation in Time-Lagged Financial Risk Systems by Hui Wang, Runzhe Liu, Yang Zhao, Xiaohui Du

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Nonlinear Dynamic Analysis and Chaos Prediction of Grinding Motorized Spindle System by Weitao Jia, Feng Gao, Yan Li, Wenwu Wu, Zhongwei Li

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Effective workflow from multimodal MRI data to model-based prediction by Kyesam Jung, Kevin J. Wischnewski, Simon B. Eickhoff, Oleksandr V. Popovych

“…Abstract Predicting human behavior from neuroimaging data remains a complex challenge in neuroscience. …”
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Vestibular sensory dysfunction: neuroscience and psychosocial behaviour overview by Brigita Kreivinienė

“…Detailed vestibular sensory dysfunction analysis is presented, also explanation of the neurological processes, and predictions are made for the further possible interventions. …”
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Factors Associated with Preventive Behaviors of Pediculosis Infection among Elementary School Girl Students in Eyvan: An Application of the Health Belief Model by Samira Daneshvar, Ali Ashraf Aivaz, Mohamad Mehdi Naghizadeh, Zeinab Ghazanfari

“…Moreover, self-efficacy predicted 26.4% of behavioral changes (p<0.001). Conclusion: Self-efficacy of students have a significant role in adopting preventive behaviors of head lice.…”
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Predictors of Static Postural Loading in Primary-School-Aged Children: Comparing Elastic Net and Multiple Regression Methods by Mohammad Ali Mohseni Bandpei, Reza Osqueizadeh, Hamidreza Goudarzi, Nahid Rahmani, Abbas Ebadi

“…Postural risk, sedentary behavior, task duration, and BMI were the most important predictors of SPL in primary school children. …”
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Machine Learning and Deep Learning for Wildfire Spread Prediction: A Review by Henintsoa S. Andrianarivony, Moulay A. Akhloufi

“…The emergence of machine learning (ML) and, more specifically, deep learning (DL) has introduced new techniques that significantly enhance prediction accuracy. ML models, such as support vector machines and ensemble models, use tabular data points to identify patterns and predict fire behavior. …”
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Prediction of tissue rupture from percolation of local strain heterogeneities for diagnostics by Friedrich Schütte, Sabrina Friebe, Denny Böttcher, Michael Andrew Borger, Madlen Uhlemann, Stefan G. Mayr

“…Conclusions Detection of local mechanical heterogeneities and their percolation behavior bears predictive capabilities for tissue failure before it actually has occurred and thus promises large potential for diagnostics and therapy.…”
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Home Environment Matters: Predicting TIMSS Math Success in Bosnia and Herzegovina by Inga Ibralić, Azur Kuduzović, Selmir Hadžić

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A data-driven spatial-temporal model for prediction of tunnel deformation by Ziyi Zhang, Han Zhang, Cong Du, Mingzhao Wei, Xiaochao Wang, Jianqing Wu

“…Due to the deficiency of incomplete influencing factors and rough prediction accuracy, this paper proposes a data-driven spatial-temporal model to predict tunnel deformation behavior. …”
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Prediction of Impact Response for Reinforced Concrete Beams by Numerical Simulation Method by Ahmad Rahmati Alaei, Seyed Mohammad Hossein Khatami

“…The interaction between parts, due to the different behavior of their materials, is carefully considered in the analysis. …”
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Development and Validation of Radiation Embrittlement Prediction Model of Austenitic Stainless Steel by JIA Lixia, WANG Dongjie, HE Xinfu, WU Shi, YANG Wen

“…In the process of long-term service, austenitic stainless steel will be subjected to neutron irradiation to cause microstructural changes, such as the formation of dislocation loop and precipitation, which will lead to a decrease in fracture toughness and affect its service behavior. The irradiation embrittlement behavior of austenitic stainless steels, i.e., the reducing of fracture toughness, should be considered in the life extension of the nuclear reactor. …”
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Prediction of stock price is an important and challenging problem for studying financial markets by V. M. Rusakov

“…In this article, I propose to predict the stock price based on trading behavior of investors. …”
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A Nanostring gene expression approach identifies aggressive clinical behavior related genes in dedifferentiated liposarcoma by Francesca Zalfa, Paolo Manca, Simone Carotti, Silvia Vallese, Daniela Righi, Chiara Taffon, Lorenzo Nibid, Marta Sbaraglia, Carla Rabitti, Francesco Pantano, Giuseppe Tonini, Angelo Paolo Dei Tos, Bruno Vincenzi, Giuseppe Perrone

“…Abstract Dedifferentiated liposarcoma (DDLPS) is one of the most common subtypes of soft tissue sarcoma with a highly variable clinical behavior. Despite advanced molecular approaches are exploring the genetic panorama of DDLPS progression, to date the driver genes of the aggressive clinical behavior in DDLPS have not been identified yet. …”
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