De novo genome hybrid assembly and annotation of the endangered and euryhaline fish Aphanius iberus (Valenciennes, 1846) with identification of genes potentially involved in salini... by Alfonso López-Solano, Ignacio Doadrio, Tessa Lynn Nester, Silvia Perea

“…Conclusions The integration of genomic data with predicted genes presents future research opportunities across multiple disciplines, such as physiology, reproduction, disease, and opens up new avenues for future studies in comparative genomic studies. …”
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Dual Graph for Traffic Forecasting by Long Wei, Zhengxu Yu, Zhongming Jin, Liang Xie, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

“…Traffic forecasting is the task of predicting future traffic based on historical traffic data. …”
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Assessing thin films as predictors of bulk properties in high-throughput alloy design by Janith Wanni, Chanho Lee, Deva Prasaad Neelakandan, Benjamin Kyle Derby, Osman El Atwani, James A. Valdez, Michael C. Gao, Mikayla Obrist, Bernard Gaskey, Nan Li, Saryu J. Fensin

“…Thin film deposition offers a high-throughput route for alloy screening, but its ability to predict bulk alloy behavior remains uncertain. In this study, we compare the microstructure and mechanical properties of thin-film and bulk forms of a five-element NbMoTaTiV refractory high-entropy alloy (RHEA). …”
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Asian summer monsoon variability across Termination II and implications for ice age terminations by Yijia Liang, Kan Zhao, Yongjin Wang, Shitao Chen, Tyler E. Huth, Bin Zhao, Quan Wang, Zhenqiu Zhang, Qingfeng Shao, Hai Cheng, R. Lawrence Edwards

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Impact of Two-population α-particle Distributions on Plasma Stability by Mihailo M. Martinović, Kristopher G. Klein, Rossana De Marco, Daniel Verscharen, Roberto Bruno, Raffaella D’Amicis

“…The velocity distribution functions (VDFs) characterizing kinetic particle behavior are commonly represented as a sum of anisotropic bi-Maxwellians. …”
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A hybrid AI-CFD framework for optimizing heat transfer of a premixed methane-air flame jet on inclined surfaces by Panit Kamma, Kittipos Loksupapaiboon, Juthanee Phromjan, Chakrit Suvanjumrat

“…Using OpenFOAM, the laminar flame behavior was modeled under diverse conditions, revealing strong agreement with experimental data, with average errors of 6.23 % for flame height and 6.47 % for thermal efficiency. …”
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Experimental and Aspen Simulation Study of the Co-Pyrolysis of Refuse-Derived Fuel and Oil Shale: Product Yields and Char Characterization by Hasan J. Al-Abedi, Joseph D. Smith, Haider Al-Rubaye, Paul C. Ani, Caleb Moellenhoff, Tyler McLeland, Katarina Zagorac

“…A commendable correlation was observed between the experimental outcomes and the model predictions, underscoring the reliability of the simulation approach. …”
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Quaternary surface ruptures of the inherited mature Yangsan Fault: implications for intraplate earthquakes in southeastern Korea by S. Ha, S. Ha, H.-C. Kang, H.-C. Kang, S. Lee, S. Lee, Y. B. Seong, J.-H. Choi, S.-J. Kim, S.-J. Kim, M. Son

“…<p>Earthquake prediction in intraplate regions, such as the Korean Peninsula, is challenging due to the complexity of fault distributions. …”
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Data-driven insights of flow over heated elliptic cylinders: Machine learning and CFD perspectives on non-Newtonian forced convection by Anika Tahsin Meem, Md. Zhangir Hossain, Hasina Akter, Md. Mamun Molla

“…This study presents a comprehensive numerical and data-driven investigation of forced convection heat transfer and flow behavior of non-Newtonian fluids between two heated elliptic cylinders placed within a cold-walled channel. …”
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The Relationship Between Psychosocial Factors and Response to Epidural Steroid Injection for Chronic Lumbosacral Radicular Pain: A Prospective Pilot Study by Stensland M, Sanford E, Houle TT, McGeary C, Cobos BA, Lugosi S, Lehman L, Nabity PS, Covell C, Fitzgerald E, Mojallal M, Reed DE, Pangarkar S, Eapen BC, Nanda U, McCormick ZL, McGeary D

“…Higher pre-injection pain was predictive of higher post-injection pain at all time points (p< 0.001). …”
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Temporal dynamics of the bacterial community structure and functions associated with marine sponges collected off Karah Island, Terengganu, Malaysia by Yuki Hayami, Logajothiswaran Ambalavanan, Sandra Catherine Zainathan, Muhd Danish-Daniel, Shumpei Iehata

“…This study guides a deep understanding of the bacterial community structures associated with tropical marine sponges and their temporal behavior.…”
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Numerical and Experimental Investigation on Combustion Characteristics and Pollutant Emissions of Pulverized Coal and Biomass Co-Firing in a 500 kW Burner by Rachapat Chaiyo, Jakrapop Wongwiwat, Yanin Sukjai

“…This study investigates the co-firing behavior of pulverized coal and biomass in a semi-combustion furnace with a 500 kW heat input, comprising a pre-chamber and a main combustion chamber. …”
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Experimental acoustic study of small horizontal axis wind turbines based on computational fluid dynamics and artificial intelligence approaches by M. Sadeghi malekabadi, A.R. Davari

“…Instead, a feed-forward neural network (NN) is trained with a minimal dataset to predict airfoil behavior within a specified range. …”
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Multiscale excitations in the diluted two-dimensional S=1/2 Heisenberg antiferromagnet by Liuyun Dao, Hui Shao, Anders W. Sandvik

“…A magnon with anomalous logarithmic dispersion, close to our result, was predicted in spin wave and T-matrix theory [Chernyshev et al., Phys. …”
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Integrative analysis of semaphorins family genes in colorectal cancer: implications for prognosis and immunotherapy by Jiahao Zhu, Benjie Xu, Zhixing Wu, Zhixing Wu, Zhiwei Yu, Shengjun Ji, Jie Lian, Haibo Lu

“…A series of cell experiments were conducted to prove the impact of key genes on CRC biological behavior.ResultA consensus SRS was finally constructed based on a 101-combination machine learning computational framework, demonstrating outstanding performance in predicting overall survival. …”
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Computer simulation of the wound process (review of literature) by A. M. Morozov, A. N. Sergeev, A. V. Sungurova, D. V. Morozov, M. A. Belyak, A. S. Domracheva

“…Computer simulation is a mathematical modeling process performed on a computer that is designed to predict the behavior or results of a real or physical system. …”
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Testing the Impact of Intensive, Longitudinal Sampling on Assessments of Statistical Power and Effect Size Within a Heterogeneous Human Population: Natural Experiment Using Change... by Severine Soltani, Varun K Viswanath, Patrick Kasl, Wendy Hartogensis, Stephan Dilchert, Frederick M Hecht, Ashley E Mason, Benjamin L Smarr

“…MethodsHere, we test the gains in statistical power from controlling for interindividual and intraindividual variability of resting heart rate, collected in 2020 for over 40,000 individuals as part of the TemPredict study on COVID-19 detection. We compared heart rate on weekends with that on weekdays because weekends predictably change the behavior of most individuals, though not all, and in different ways. …”
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Mt or not Mt: Temporal variation in detection probability in spatial capture-recapture and occupancy models by Sollmann, Rahel

“…There are cases where we cannot or may not want to ignore temporal variation in detection: a behavioral response to detection and certain SCR observation models do not allow collapsing data across sampling occasions; and temporal variation in detection may be informative of species phenology/behavior or for future study planning. …”
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Investigation of the Ternary System, Water/Hydrochloric Acid/Polyamide 66, for the Production of Polymeric Membranes by Phase Inversion by Jocelei Duarte, Camila Suliani Raota, Camila Baldasso, Venina dos Santos, Mara Zeni

“…Ternary diagrams for the polymer, solvent, and non-solvent can predict this stability by identifying the phase separation and describing the thermodynamic behavior of the membrane formation process. …”
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Deciphering crop-specific rhizobacteriome assembly in cotton, sorghum, and soybean under hot semi-arid field conditions in Texas by Mostafa Abdelrahman, Sudisha Jogaiah, Mohamed Abdelmoteleb, Mohamed Fokar, Henry T. Nguyen, Lam-Son Phan Tran

“…Results We found that the abundances and structures of rhizospheric bacterial communities differed among sorghum, soybean, and cotton, with the differences being closely linked to their predicted functional roles in stress adaptation and nutrient assimilation. …”
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