Influence of cultivar on flower and leaf analyses for predicting the mid-season mineral status of peach by Angelica Anahí Acevedo Barrera, Laura Raquel Orozco Meléndez, Ofelia Adriana Hernández Rodríguez, Damaris Leopoldina Ojeda Barrios

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Polygenic risk scores in cardiovascular risk prediction: A cohort study and modelling analyses. by Luanluan Sun, Lisa Pennells, Stephen Kaptoge, Christopher P Nelson, Scott C Ritchie, Gad Abraham, Matthew Arnold, Steven Bell, Thomas Bolton, Stephen Burgess, Frank Dudbridge, Qi Guo, Eleni Sofianopoulou, David Stevens, John R Thompson, Adam S Butterworth, Angela Wood, John Danesh, Nilesh J Samani, Michael Inouye, Emanuele Di Angelantonio

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Accuracy of Fall Prediction in Parkinson Disease: Six-Month and 12-Month Prospective Analyses by Ryan P. Duncan, Abigail L. Leddy, James T. Cavanaugh, Leland E. Dibble, Terry D. Ellis, Matthew P. Ford, K. Bo Foreman, Gammon M. Earhart

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Hotel Guest Satisfaction: A Predictive and Discriminant Study Using TripAdvisor Ratings by Quiviny Jorge De Oliveira-Cardoso, José Alberto Martínez-González, Carmen D. Álvarez-Albelo

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Comprehensive structural and functional analyses of RAD50 nsSNPs: from prediction to impact assessment by Samina Malik, Mirza Jawad Ul Hasnain, Mirza Jawad Ul Hasnain, Gul Zaib, Haleema Saadia, Arif Malik, Ayesha Zahid

“…Highly conserved damaging nsSNPs were prioritized for the structural analysis. GOR-IV was used for secondary structure prediction, whereas AlphaFold, RoseTTAFold, and I-TASSER were used for protein structure prediction. …”
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Petrological controls on the engineering properties of carbonate aggregates through a machine learning approach by Javid Hussain, Tehseen Zafar, Xiaodong Fu, Nafees Ali, Jian Chen, Fabrizio Frontalini, Jabir Hussain, Xiao Lina, George Kontakiotis, Olga Koumoutsakou

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Descriptive and predictive analyses of carbon emissions in Indonesia: a multifaceted approach incorporating stock market and commodity prices by Alvin Muhammad 'Ainul Yaqin, Auliya Aisyah Putri, Vridayani Anggi Leksono, Noni Oktiana Setiowati, Remba Yanuar Efranto, Hilwa Dwi Putri Nabiha

“…This research underscores the critical roles of the transportation and logistics sectors strategic infrastructure investments in shaping carbon emissions while highlighting LSTM’s effectiveness in predictive analysis. These insights are crucial for policymakers and stakeholders to formulate effective strategies for mitigating carbon emissions and promoting sustainable development in Indonesia.…”
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Predicting present and future habitats using LiDAR to integrate research and monitoring with landscape analyses by David A. MacLean, Thomas Baglole, Maurane Bourgouin, Billie Chiasson, Jiban C. Deb, Maitane Erdozain, Remus J. James, Lauren Negrazis, Louka Tousignant, Phil Wiebe, Greg Adams, Joseph R. Bennett, Erik J.S. Emilson, Nicole J. Fenton, Graham J. Forbes, Michelle A. Gray, Karen A. Kidd, Andrew McCartney, Gaetan Moreau, Kevin B. Porter, Osvaldo Valeria, Lisa A. Venier

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One- and two-sided prediction intervals for future Pareto record values with applications by Anja B. Schmiedt, Christina Empacher, Udo Kamps

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Amphetamine use and Parkinson's disease: integration of artificial intelligence prediction, clinical corroboration, and mechanism of action analyses. by Maria P Gorenflo, Zhenxiang Gao, Pamela B Davis, David Kaelber, Rong Xu

“…A knowledge graph artificial intelligence prediction system was used to select potential drugs that could be used to treat or prevent PD, and amphetamine was identified as the strongest candidate. …”
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Near Infrared Reflectance Spectroscopy and Multivariate Analyses for Fast and Non-Destructive Prediction of Corn Seed Germination by Nafiz Çeliktaş, Ömer Konuşkan

“…The application of near-infrared reflectance spectroscopy (NIRS) and multivariate analysis for determining the seed germination rate of corn genotypes was assessed. …”
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Non-Attendance in Hospital Appointments Based on Data From the Entire Region of Southern Denmark: Descriptive Analyses and Predictive Factors by Nørgård BM, Iachina M, Ammentorp J, Schwalbe DM, Waidtløw KY, Richardt L, Sodemann M

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PK/PD Modeling as a Tool for Predicting Bacterial Resistance to Antibiotics: Alternative Analyses of Experimental Data by M. V. Golikova, E. N. Strukova, Y. A. Portnoy, A. A. Firsov

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Circulating biomarkers for predicting cardiovascular disease risk; a systematic review and comprehensive overview of meta-analyses. by Thijs C van Holten, Leonie F Waanders, Philip G de Groot, Joost Vissers, Imo E Hoefer, Gerard Pasterkamp, Menno W J Prins, Mark Roest

“…Limitations reside in that there is no acknowledged search strategy for prognostic studies or meta-analyses.<h4>Conclusions</h4>For primary cardiovascular events, markers with strong predictive potential are mainly associated with lipids. …”
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Concerns about statistical analyses in the study on polymyxin B treatment of carbapenem-resistant gram-negative bacilli infections by Jing Zhao, Yue Bi

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Data on battery health and performance: Analysing Samsung INR21700-50E cells with advanced feature engineering by Sahar Qaadan, Aiman Alshare, Alexander Popp, Myrel Tiemann, Utz Spaeth, Benedikt Schmuelling

“…With batch-specific organisation and CSV format, this dataset facilitates seamless integration into a wide range of analyses, making it a vital resource for researchers and engineers focusing on battery degradation, energy storage systems, and developing robust predictive models for real-world applications.…”
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Are plasma biomarkers of immune activation predictive of HIV progression: a longitudinal comparison and analyses in HIV-1 and HIV-2 infections? by Samuel Nyamweya, John Townend, Akram Zaman, Sarah Jane Steele, David Jeffries, Sarah Rowland-Jones, Hilton Whittle, Katie L Flanagan, Assan Jaye

“…ROC analyses strengthened the evidence of elevation of biomarkers in patients approaching death in both HIV-1 and HIV-2 infections. …”
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Comprehensive molecular analyses of an autoimmune-related gene predictive model and immune infiltrations using machine learning methods in intracranial aneurysma by Minxue Zhang, Lin Zhou, Yuying Zhao, Yanling Wang, Zhuobo Zhang, Zhan Liu

“…Differentially expressed ARGs (DEARGs) were identified using the “limma” R package. GO, KEGG and GSEA analyses were performed to uncover underlying molecular functions. …”
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Exploring the molecular mechanisms underlying intervertebral disc degeneration by analysing multiple datasets by Longquan Lin, Da Li, Gangfeng Cai, Gengyang Zheng, Dianfeng Huang, Hua Liu, Shunxin Lin, Feng Zhao

“…Abstract The purpose of this study was to explore the genetic characteristics and immune cell infiltration related to intervertebral disc degeneration through multidataset analysis, predict potential therapeutic drugs, and provide a theoretical basis for clinical treatment. …”
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Heterogeneity in meta-analyses: an unavoidable challenge worth exploring by Geun Joo Choi, Hyun Kang

“…Heterogeneity is a critical but unavoidable aspect of meta-analyses that reflects differences in study outcomes beyond what is expected by chance. …”
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