Unlocking the Rich Potential of a Soft Gel-Cream Enriched with Royal Jelly for Topical Use by Monica-Elisabeta Maxim, Raluca-Marieta Toma, Ludmila Aricov, Anca-Ruxandra Leonties, Aurica Precupas, Rodica Tatia, Elena Iulia Oprita

“…Rheological results highlight a gel-like behavior of the product in the packaging, as it does not flow from the costumer’s hand after application and behaves like a liquid, spreading evenly onto clean skin. …”
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Influences of Gyrotactic Microorganisms and Nonlinear Mixed Bio-Convection on Hybrid Nanofluid Flow over an Inclined Extending Plate with Porous Effects by Arshad Khan, Muhammad Jawad, Farhat Nasir, Ishtiaq Ali

“…The flow is also influenced by the porous behavior of the plate and the presence of the microorganisms. …”
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Effect of micro-architectural design and polymer infiltration on mechanical properties and fatigue life of strut- and sheet-based lattice bone scaffolds by S.Kazemivand Niar, G. Nikaein, M.H. Sadeghi, B. Vrancken, B. van Hooreweder, M.J. Mirzaali

“…Notably, a unified master curve was developed to facilitate the prediction of fatigue lives of all geometries. These findings support the development of implants with enhanced longevity and performance.…”
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A Study on the Influence of Titanium Addition on the Phase Transformations and Magnetic Properties of FeCrCoNiMn High-Entropy Alloy Powder Prepared by Mechanical Alloying by Mohsen Alizadeh, Saeed-Reza Bakhshi, Mohammad-Reza Dehnavi, Gholam-Hossein Borhani

“…Furthermore, phase structure formation was predicted by thermodynamic functions via JMatPro software. …”
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Selection of optimal human myoblasts based on patient related factors influencing proliferation and differentiation capacity by Moritz Englich, Andreas Arkudas, Lilly Mengen, Raymund E. Horch, Aijia Cai

“…Using MLR, these patient characteristics can be used to predict the proliferation capacity of hMb as a step further towards translational application of skeletal muscle engineering and regeneration.…”
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A dual fracture mechanical approach for estimating notch stress intensity factor and T-stress using volumetric methods on API 5L pipe steel: Experimental study and numerical valida... by Racim Boutelidja, Mohammad Mizanur Rahman, Mouna Amara, Rami K. Suleiman, Arumugam Madhan Kumar, Fadi A. Al-Badour, Guedri Abdelmoumen, Mohammed Hadj Meliani

“…The research encompasses both experimental investigations and numerical validations to comprehensively assess the applicability of NSIF in predicting failure behavior. Through a series of controlled experiments, various notched specimens were subjected to different loading conditions, allowing the determination of NSIF values. …”
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Integrated Energy System Load Forecasting Based on Multi-energy Demand Response and Improved BiLSTM by ZHANG Xiaojia, WANG Can, ZHANG Jiaheng, WANG Zhen, LI Zhiwei, ZHANG Zhaoyang, GAN Youchun

“…First， by integrating user demand response behavior， the input feature variables of the multi-energy demand response is constructed， and together with multiload forecasting， strong correlation features selected by the maximum information coefficient form the input feature set of the prediction model. …”
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Evaluating the Spatial Coverage of Air Quality Monitoring Stations Using Computational Fluid Dynamics by Giannis Ioannidis, Paul Tremper, Chaofan Li, Till Riedel, Nikolaos Rapkos, Christos Boikos, Leonidas Ntziachristos

“…The model was applied to the city of Augsburg, Germany, to simulate pollutant behavior at a microscale level. The primary objectives were twofold: first, to accurately predict local pollutant concentrations and validate these predictions against measurement data; second, to evaluate the representativeness of air quality monitoring stations in reflecting the broader pollutant distribution in their vicinity. …”
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Resilience evaluation of memristor based PUF against machine learning attacks by Hebatallah M. Ibrahim, Heorhii Skovorodnikov, Hoda Alkhzaimi

“…Our results yield low accuracy and ROC results of within $$0.49-0.52$$ 0.49 - 0.52 and $$0.49-0.52$$ 0.49 - 0.52 respectively, indicating failure in predicting random data demonstrates efficient randomness prediction resiliency of the MR-PUF. …”
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Lying to an older adult in a sharing situation: differences between young and mid-life adults by Eitan Elaad, Yakir Bracha, Hodaya Avraham, Chen Rabi, Talya Katzin

“…The SRLS global score and four subscales predicted participants’ lying in the UG. NCS-6 prediction of lying was also significant, although less efficient than the SRLS.DiscussionThe present study aimed to examine ageism by lying to an older woman in the UG. …”
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An attachment‐based program for parents of youth with clinically significant mental health problems: Scaling up and drilling down to mechanisms of change by Marlene M. Moretti, Sebastian P. Dys, Stephanie G. Craig, Carlos A. Sierra Hernandez, Natalie Goulter, Katherine O’Donnell, Dave S. Pasalich

“…As well, parent reported reductions in youth attachment avoidance and anxiety predicted declining youth externalizing behavior. In contrast, youth reports of reductions in youth attachment anxiety, but not attachment avoidance, were associated with declines in youth externalizing problems. …”
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Transgenerational epigenetic heritability for growth, body composition, and reproductive traits in Landrace pigs by Andre C. Araujo, Jay S. Johnson, Jason R. Graham, Jeremy Howard, Yijian Huang, Hinayah R. Oliveira, Luiz F. Brito

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Examining the association of neighborhood conditions on attention‐deficit/hyperactivity disorder symptoms in autistic youth using the child opportunity index 2.0 by Catrina A. Calub, Irva Hertz‐Picciotto, Deborah Bennett, Julie B. Schweitzer

“…More specifically, COI significantly predicted ADHD symptoms in the AUT group, but not the TD or DD groups. …”
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Experimental and Computational Fluid Dynamics Simulation Study on the Performance of a Two-stroke Aviation Engine: A Comparative Analysis of Turbulence Models and Mesh Strategies by G. Coskun, Y. Delil, U. Demir

“…The Standard k-ε model was more effective in predicting in-cylinder pressure and heat release characteristics, while the RNG k-ε model predicted slightly higher maximum in-cylinder temperatures. …”
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Transformer-Based Downside Risk Forecasting: A Data-Driven Approach with Realized Downward Semi-Variance by Yuping Song, Yuetong Zhang, Po Ning, Jiayi Peng, Chunyu Kao, Liang Hao

“…Realized downward semi-variance (RDS) has been realized as a key indicator to measure the downside risk of asset prices, and the accurate prediction of RDS can effectively guide traders’ investment behavior and avoid the impact of market fluctuations caused by price declines. …”
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Coupling HEC-RAS and AI for River Morphodynamics Assessment Under Changing Flow Regimes: Enhancing Disaster Preparedness for the Ottawa River by Mohammad Uzair Anwar Qureshi, Afshin Amiri, Isa Ebtehaj, Silvio José Guimere, Juraj Cunderlik, Hossein Bonakdari

“…Despite significant advancements in flood forecasting using machine learning (ML) algorithms, recent events have revealed hydrological behaviors deviating from historical model development trends. …”
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Foliar gas exchange, morphology, and cannabinoid contents of three hemp varieties in southwest Texas by John Sunoj V. S., Xuejun Dong, Madhumita V. Joshi, Russell W. Jessup, Daniel I. Leskovar, David D. Baltensperger

“…Overall, the three hemp varieties showed different behavior strategies in southwest Texas.…”
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Associations between intolerance of uncertainty, paranoia, anxiety, and depression: Evidence from an international multisite sample by Jayne Morriss, Brandon A. Gaudiano, Suzanne H. So, Jessica Kingston, Tania Lincoln, Eric M. J. Morris, Lyn Ellett

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Features of the Crystal Structure and Magnetic Characteristics of the Solid Solutions Ni_1–xM_xMnSb (M = Fe, Co) Systems by G. S. Rymski, V. M. Fedosyuk, A. V. Rutkauskas, E. V. Duzeva-Maltseva, A. T. Tuan, T. D. Ngoc

“…The results of theoretical calculations predict the existence of magnetic moments for Fe and Co ions, and they are antiferromagnetically coupled to the spins of Mn and Ni ions.…”
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Experimental and numerical study of forming aluminum stepped tubes by electromagnetic forming method by Javad Esmaeili, Aliakbar Asgharpour, Mohammad Bakhshi-Jooybari, Hamid Gorji, Mohammad Javad Mirnia

“…An inverse analysis estimated the coefficient C in the Johnson–Cook model, enhancing material behavior predictions. These advancements address EMF challenges and offer opportunities for industries like automotive and aerospace.…”
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