Accelerating phase field simulations through a hybrid adaptive Fourier neural operator with U-net backbone by Christophe Bonneville, Nathan Bieberdorf, Arun Hegde, Mark Asta, Habib N. Najm, Laurent Capolungo, Cosmin Safta

“…., the deformation of the liquid-metal interface, lost metal, etc.) and show that our proposed U-AFNO model is able to accurately predict the field dynamics, in spite of the chaotic nature of LMD. …”
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Corrosion inhibition effects of eco-friendly clarithromycin molecules on aluminium in hydrochloric acid solution via experimental, theoretical and optimization approach by O.D. Onukwuli, I.A. Nnanwube, F.O. Ochili, M. Omotioma, J.I. Obibuenyi

“…Optimization by RSM gave an optimum IE of 85.43 %, from which artificial neural network (ANN) predicted improved inhibition efficiency. Overall, clarithromycin demonstrated good efficiency as an inhibitor for aluminium corrosion.…”
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Statewide Variation in Practices and Charges for Primary Spontaneous Pneumothorax in Maryland, United States: A Retrospective Study by Grace Lassiter, Eric Etchill, Tamir Sholklapper, Charbel Chidiac, Joseph Canner, Daniel Sangkyu Rhee

“…Subsequently, we analyzed hospital charges for patients undergoing early VATS (<48 hours post-admission) vs. delayed VATS (≥48 hours). The predicted incremental cost of early vs. delayed VATS was calculated. …”

Effects of Microsatellite Instability on the Clinical and Pathological Characteristics of Colon Cancer and the Diagnostic Accuracy of Preoperative Abdominal CT Scans by Rıdvan Yavuz, Orhan Aras, Hüseyin Çiyiltepe, Onur İlkay Dinçer, Ahmet Şükrü Alparslan, Tebessüm Çakır

“…There was no significant difference in the accuracy in predicting the T and N statuses between the two groups. …”
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The influence of farm connectedness on foot‐and‐mouth disease outbreaks in livestock by Jean B. Contina, Rachel L. Seibel, Bhim Chaulagain, Karasi B. Mills, Michael J. Tildesley, Christopher C. Mundt

“…Host connectivity provides early information on the host‐pathogen landscape and could be used as an assessment tool for predicting epidemic risks, as well as enabling preemptive control strategies to limit the size of disease outbreaks.…”
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Potential Impacts of Future Climate Changes on Crop Productivity of Cereals and Legumes in Tamil Nadu, India: A Mid-Century Time Slice Approach by Vellingiri Geethalakshmi, Ramasamy Gowtham, Radhakrishnan Gopinath, Shanmugavel Priyanka, Marimuthu Rajavel, Kandasamy Senthilraja, Manickam Dhasarathan, Raj Rengalakshmi, Kulanthaivel Bhuvaneswari

“…Among the monsoons, the southwest monsoon (SWM) is expected to be warmer than the northeast monsoon (NEM). Annual rainfall is predicted to increase up to 20% under RCP 4.5 scenario in two-third of the area over Tamil Nadu. …”
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Quality of life among Indonesian family caregivers caring for dependent older persons with type 2 diabetes mellitus in the community: A cross-sectional, correlational study by Rinco Siregar, Charuwan Kritpracha, Tippamas Chinnawong, Jos M. Latour

“…Results: The final model explained 89.1% of the variance in the quality of life (QoL) of family caregivers (R² = 0.893, Adjusted R² = 0.891), with 66% predictive relevance. Depression symptoms had the strongest negative direct effect on QoL, followed by caregiver burden. …”
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Clinical Features and Prognosis Analysis of Hormone Receptor-Positive, HER2-Negative Breast Cancer with Differential Expression Levels of Estrogen and Progesterone Receptors: A 10-... by Jin Liu, Mingyu Gan, Zijing Lin, Qin Deng, Juan Deng, Bin Zeng, Yanling Shi, Jia Ming

“…Estrogen and progesterone receptor status can predict breast cancer patient prognosis and treatment sensitivity, but research on low ER and PR levels and expression balance remains limited. …”
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Validation of chest trauma scoring systems in polytrauma: a retrospective study with 1,038 patients in Korea by Hongrye Kim, Mou Seop Lee, Su Young Yoon, Jonghee Han, Jin Young Lee, Junepill Seok

“…In the area under the ROC curve analysis, the TTSS showed the highest predictive value for the entire group (0.731), head trauma group (0.715), and no head trauma group (0.730), while RibScore had the poorest performance (0.643, 0.622, and 0.622, respectively) Conclusions Early injury severity detection and grading are crucial for patients with blunt chest trauma. …”
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Insulin therapy adherence and its associated factors among diabetic patients in a Ghanaian primary care hospital. by Israel Abebrese Sefah, Michael Mensah, Araba Ata Hutton-Nyameaye, Emmanuel Sarkodie, Johanna C Meyer, Brian Godman, Varsha Bangalee

“…Adherence level was associated with age (p = 0.020), marital status (p = 0.001), employment status (p = 0.012), type of DM (p<0.001), regular follow-up (p = 0.007) and comorbidities (p = 0.002) and was only predicted by the type of DM (aOR = 14.82 C.I 1.34-163.50, p-value = 0.028).…”
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Relationship between high-sensitivity C reactive protein and the risk of gallstone disease: results from the Kailuan cohort study by Tong Liu, Wenqiang Li, Sarah Tan Siyin, Nan Yao, Ning Duan, Guoshuai Xu, Jun Qu, Siqing Liu

“…The multivariate model which included hs-CRP not only had a better line of fitness but also had better predictive values to help identify new cases of GSD during follow-up.Conclusion Elevated hs-CRP concentration is an independent risk factor for new-onset GSD among the Chinese population.Trial registration number ChiCTR-TNC-11001489.…”
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Machine learning-driven identification of critical gene programs and key transcription factors in migraine by Lei Zhang, Yujie Li, Yunhao Xu, Wei Wang, Guangyu Guo

“…Random forest analysis predicted ARID3A as the top transcription factor regulating gene program 1, suggesting its potential role in modulating calcium-related genes involved in migraine. …”
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Transcriptome-Wide Identification of miRNAs and Their Targets During Riboflavin-Promoted Dormancy Release in <i>Lilium</i> ‘Siberia’ by Xiaoping Xu, Chenglong Yang, Yiping Zheng, Wenjie Guo, Zhongxiong Lai, Shaozhong Fang

“…Moreover, some differentially expressed miRNAs and their targets (miR395-y: <i>LoAPS1</i>, miR529-z: <i>LoSPL14</i>, miR396-y: <i>LoCFDP1</i>, miR1863-z: <i>LoFBA3</i>, miR399-y: <i>LoDIT1</i>, and miR11525-z: <i>Lopgm</i>) were identified and predicted. Exogenous riboflavin may activate primary metabolic processes and promote dormancy release in <i>Lilium</i> ‘Siberia’ bulbs. …”
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Thermal performance of Falkner Skan model (FSM) for (GOMoS2)/(C2H6O2-H2O) 50:50% nanofluid under radiation heating source by Mutasem Z. Bani-Fwaz, Adnan, Sami Ullah Khan, B. Shankar Goud, Tadesse Walelign, Kanayo Kenneth Asogwa, Iskander Tlili

“…The heat generating source and solar radiations number enhanced the performance of (GO-MoS2)/(C2H6O2-H2O) and better predicted ranges for these parameters are observed from $$\:Q=\text{0.1,0.2,0.3,0.4}$$ and $$\:Rd=\text{1.0,2.0,3.0,4.0}$$ . …”
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Association between novel anthropometric indices and overactive bladder: a population-based study by Heng Liu, Huqiang Dong, Mingchu Jin, Yu Zhou, Haidong Hao, Yutang Yuan, Hongtao Jia, Min He

“…Future studies should investigate the potential of combining multiple anthropometric indices to improve predictive accuracy and conduct prospective studies to determine causality.…”
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Multi-scale hydraulic graph neural networks for flood modelling by R. Bentivoglio, E. Isufi, S. N. Jonkman, R. Taormina

“…Numerical results applied to dike-breach floods show that the model predicts the full spatio-temporal simulation of the flood over unseen irregular meshes, topographies, and time-varying boundary conditions, with mean absolute errors in time of 0.05 m for water depths and 0.003 m<span class="inline-formula">²</span> s<span class="inline-formula">⁻¹</span> for unit discharges. …”
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Prognostic impact of tumor size on cancer-specific survival for postoperative WHO grade II oligodendroglioma: a SEER-based study by Qin Lu, Yongyan Wu, Yonglin Xie, Shuxu Yang, Hongchuan Jin

“…Multivariate Cox analyses revealed that age &gt; 60 (HR 3.52), male (HR 1.48), total resection (HR 0.38), and tumor size (HR 2.04) were independent factors in predicting cancer-specific survival (CCS). The optimal cut-off value for tumor size was 60 mm. …”
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Shaping the future of primary healthcare: Factors influencing medical students’ preference for family medicine specialty in Qatar by Maryam A. Al-Rashid, Muna T Abed Alah, Areej S. Al-Hamad, Michail Nomikos, Marwan F. Abu Hijleh

“…Being in the clerkship phase of medical education (adjusted odds ratio [AOR]=2.18, 95% CI: 1.12–4.23, P = 0.022) and possessing a personal connection to Family Medicine (AOR= 3.46, 95% CI: 1.65–7.29, P = 0.001) significantly predicted the selection of Family Medicine between students’ top two choices. …”
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Association of Intensive Endoscopic Burden with Esophageal Cancer Detection: A Nationwide Cohort Study by Yeunji Lee, Eunyoung Lee, Bumhee Park, Gil Ho Lee, Sun Gyo Lim, Sung Jae Shin, Choong-Kyun Noh, Kee Myung Lee

“…The odds of detecting EC were lowest in November; in 2015 the odds were 0.57 (95% confidence interval, 0.41 to 0.79; p=0.001) times lower and in 2016, they were 0.51 (95% confidence interval, 0.37 to 0.68; p<0.001) times lower compared to January. The predicted detection rates showed a decreasing trend toward the end of the year (p>0.05 for all). …”
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Integration of simulation-based medical education: Student satisfaction and self-confidence at Faculty of Medicine, Jazan University, Saudi Arabia by Abuobaida Yassin

“…Frequencies and means were computed for descriptive statistics, and relationships, as well as predictions for student satisfaction and self-confidence, were evaluated through Chi-square tests and multiple regression. …”
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