Evaluation of Drug–Polymer and Drug–Drug Interaction in Cellulosic Multi-Drug Delivery Matrices by Abdullah Isreb, Mohamed A. Alhnan, Abdulrahman Mkia, Khaled Al-Jammal, Abdallah Yaghi, Enoche Florence Oga, Peter Timmins, Michael Bonner, Robert T. Forbes

“…Despite this, there is limited information regarding predicting the behavior of two or more drugs (in amorphous forms) in a polymeric carrier and whether molecular interactions between the compounds, between each compound, and if the polymer have any effect on the physical properties of the system. …”
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promoter methylation is associated with prognosis in esophageal squamous cell carcinoma by Xiaoying Chen, Haochang Hu, Jing Liu, Yong Yang, Guili Liu, Xiuru Ying, Yingmin Chen, Bin Li, Cong Ye, Dongping Wu, Shiwei Duan

“…Previous studies suggested that forkhead box F2 ( FOXF2 ) could be a candidate gene for assessing and predicting the prognosis of human cancers. However, the relationship between FOXF2 promoter methylation and the prognosis of esophageal squamous cell carcinoma remained unclear. …”
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Childhood Obesity - Risk Factors and Consequences of the Disease by Karol Dolepski, Kamila Duszyńska, Alicja Góral, Krystian Żuk, Michał Czachajda

“…Among the most influential are behavioral factors, related to young people's choices regarding diet or physical activity undertaken. …”
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Monitoring soil salinity in coastal wetlands with Sentinel-2 MSI data: Combining fractional-order derivatives and stacked machine learning models by Congcong Lao, Xiayang Yu, Lucheng Zhan, Pei Xin

“…Monitoring soil salinity is essential for understanding the behavior of coastal wetland ecosystems and implementing effective management strategies. …”
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Theoretical Models and Simulations of Gene Delivery with Polyurethane: The Importance of Polyurethane as a Vector in Personalized Therapy by Roxana Maria Jeleriu, Roxana-Karin Hajaj, Iuliana-Anamaria Trăilă, Mihaela Zaharie, Maria Puiu

“…Implemented in Python 3.9, it employed differential equation solvers and adsorption/internalization models to predict vector behavior and optimize delivery efficiency. …”
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Shorter Migration Distance and Breeding Latitude Correlate With Earlier Egg‐Laying Across the Northeastern Pacific Ocean Range of the Rhinoceros Auklet (Cerorhinca monocerata) by Cayle J. R. Cross, Katharine R. Studholme, Mark C. Drever, Alice D. Domalik, J. Mark Hipfner, Glenn T. Crossin

“…ABSTRACT Models of migratory behavior predict trade‐offs between fitness costs and benefits with respect to migration distance. …”
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Comparison of start-up runaway electron generation simulations using the SCENPLINT code with JET experimental observations by P.C. de Vries, A.B. Mineev, Y. Gribov, Y. Lee, P. Aleynikov, the EUROfusion WPTE Team, JET Collaborators

“…This has been done by simulating the process of RE generation and, importantly their losses, self-consistently with the behavior of many other discharge parameters, using the SCENPLINT code, which has been updated to include RE physics. …”
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Computational Modeling and Molecular dynamics Simulations of Thiazolino 2-pyridone amide analog compounds as Chlamydia trachomatis inhibitor by Emmanuel Edache, Adamu Uzairu, Paul Mamza, Gideon Shallangwa

“…The QSAR model was able to systematically predict anti-bacterial behavior with an R2pred value of 0.506 for the external data set 9 of the thiazolino 2-pyridone amide derivative. …”
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PIC2O-Sim: A physics-inspired causality-aware dynamic convolutional neural operator for ultra-fast photonic device time-domain simulation by Pingchuan Ma, Haoyu Yang, Zhengqi Gao, Duane S. Boning, Jiaqi Gu

“…In this work, we thoroughly investigate the synergy between neural operator designs and the physical property of Maxwell equations and introduce a physics-inspired AI-based FDTD prediction framework PIC2O-Sim. PIC2O-Sim features a causality-aware dynamic convolutional neural operator as its backbone model that honors the space–time causality constraints via careful receptive field configuration and explicitly captures the permittivity-dependent light propagation behavior via an efficient dynamic convolution operator. …”
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Joint learning equation of state surfaces with uncertainty-aware physically regularized neural networks by Dongyang Kuang, Shiwei Li, Buxuan Wang, Chao Xiong, Shichang Zhang, Yanyao Zhang

“…Abstract The equation of state (EOS) is essential for understanding material behavior under different pressure-temperature-volume (P-T-V) conditions across various disciplines. …”
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Enhancing analogy-based software cost estimation using Grey Wolf Optimization algorithm by Taghi Javdani Gandomani, Maedeh Dashti, Sadegh Ansaripour, Hazura Zulzalil

“…The GWO algorithm, inspired by the hunting behavior and social hierarchy of grey wolves, is mathematically modeled and incorporated into the ABE approach. …”
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The gut microbiota protein BOC1 exhibits immune checkpoint inhibitor-like activity by inhibiting myeloid-derived suppressor cell differentiation by Laureen Bardouillet, Maria Lucia Orsini Delgado, Caroline Matondo, Francesco Strozzi, Valentine Thomas, Laurent Chene, Antonietta Cultrone

“…Mutation of amino acids within the N-terminal region of BOC1 reduces binding to CD200R1, supporting the importance of this region for a possible interaction with CD200R1.ConclusionThe immunostimulatory properties of BOC1 observed in vitro are compatible with an ICI-like behavior of this bacterial protein. Given that neither the CD200 protein nor the anti-CD200 antibody is able to compete with BOC1 for binding to CD200R1, and as supported by AlphaFold modeling predictions, CD200 and BOC1 might target different regions of CD200R1.…”
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Revolutionizing proton exchange membrane fuel cell modeling through hybrid aquila optimizer and arithmetic algorithm optimization by Manish Kumar Singla, S. A. Muhammed Ali, Ramesh Kumar, Pradeep Jangir, Mohammad Khishe, G. Gulothungan, Haitham A. Mahmoud

“…Abstract Parameter identification in a Proton Exchange Membrane Fuel Cell (PEMFC) entails the application of optimization algorithms to ascertain the optimal unknown variables essential for crafting an accurate model that predicts fuel-cell performance. These parameters are typically not included in the manufacturer’s datasheet and must be identified to ensure precise modeling and forecasting of fuel cell behavior. …”
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Thermosolutal convection and entropy generation in hybrid nanofluids: FEM and ANN analysis of a magnetized wavy enclosure by Noor Zeb Khan, Muhammad Salim Khan, A.S. Shflot, M.Y. Malik

“…The ANN model achieves exceptional accuracy (R = 1, MSE = 2.47 × 10−9) in predicting thermal behavior, reducing computational effort. …”
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Development of compact mechanism for lithium-ion battery venting gas fires using Cantera ordinary differential equation neural network algorithm by Mengjie Li, Hao Hu, Li Lu, Huangwei Zhang

“…CRECK2003 was chosen for its proven accuracy in predicting the combustion properties of LIB venting gases. …”
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Changes in the utilization of prenatal and delivery services in the United States prior to, during, and after the COVID-19 pandemic by Hannah Silverstein, Larissa Jennings Mayo-Wilson, Anna Austin

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A two stage differential evolution algorithm for parameter estimation of proton exchange membrane fuel cell by Mohammad Aljaidi, Sunilkumar P. Agrawal, Pradeep Jangir, Sundaram B. Pandya, Anil Parmar, Arpita, Ali Fayez Alkoradees, Bhargavi Indrajit Trivedi, Mohammad Khishe

“…Abstract Precise models predicting fuel cell performance under different operating conditions require accurate parameter identification in a proton exchange membrane fuel cell (PEMFC). …”
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Association between active/passive Involution and lying flat among college students: the mediation role of perceived stress and anxiety by Lei Yang, Yunbing Zhang, Dongjun Zhang, Lujun Shen, Hui Feng

“…Active involution not only directly predicts lying flat but also indirectly predicts it through perceived stress (direct effect size = -0.301, 95% CI [-0.359, -0.242]; indirect effect size = -0.035, 95% CI [-0.055, -0.017]). …”
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TCN-Based DDoS Detection and Mitigation in 5G Healthcare-IoT: A Frequency Monitoring and Dynamic Threshold Approach by Mirza Akhi, Ciaran Eising, Lubna Luxmi Dhirani

“…A dynamic threshold strategy also provides adaptive security by averaging detected malicious behavior messages across all nodes to determine the base threshold. …”
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Dynamic response of twin parallel tunnels in unsaturated soil under metro train loadings by Yiyang Liu, Guocai Wang, Yonger Ji, Siyu Jin, Tianshi Wan

“…Analyzing the dynamic responses of double-line parallel tunnels under arbitrary saturation conditions facilitates more accurate prediction of metro train loading effects on soil behavior and provides critical guidance for tunnel design optimization.…”
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