Digital mapping of soil organic carbon in a plain area based on time-series features by Kun Yan, Decai Wang, Yongkang Feng, Siyu Hou, Yamei Zhang, Huimin Yang

“…This study focused on the DSM of SOC in Fengqiu County, China, using terrain, climate, single-time ecological factors, and time-series features of time-series ecological factors as environmental covariates to investigate whether time-series environmental covariates could improve the accuracy in a plain area. SOC prediction models were established using random forests (RF), backpropagation neural networks (BP), and support vector machines (SVM). …”
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Indoor Black Carbon Concentrations and their Sources in Residential Environments: Validation of an Input-adaptive Proxy Model by Jiangyue Zhao, Pak Lun Fung, Martha Arbayani Zaidan, Birgit Wehner, Kay Weinhold, Alfred Wiedensohler, Tareq Hussein

“…This proxy model can predict indoor eBC concentrations based on existing indoor databases or in cases where direct measurements of indoor eBC concentrations are not available. …”
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Rapid estimation method of lithium battery state of health based on novel health feature by DONG Xiaohong, DONG Jinbo, WANG Mingshen, ZENG Fei, PAN Yi

“…The experimental results show that the proposed method and novel health feature can greatly reduce the calculation volume, and can achieve fast estimation of lithium battery SOH while ensuring prediction accuracy.…”
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Pregnancy-Associated Plasma Protein-A: Its Significance as a Single Biomarker for Adverse Obstetric Outcomes by Madhusudan Dey, Priyanshi Choudhury, Sunil Chawla, Pranjali Dhume, Suyash Goel, Ankur Shah, Mounica Gowda KN

“…Further research would help the fraternity in developing a prediction model. …”
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Effect of HBeAg/anti-HBe coexistence on HBeAg seroconversion in treatment-naïve chronic hepatitis B patients with peginterferon-α by Kaimin Song, Huitong Wang, Dawu Zeng, Yunyun Qian, Zhixiang Guo, Huatang Zhang, Yijuan Zheng, Yongjun Zhou, Xueping Yu, Zhijun Su

“…The nomogram for the prediction of HBeAg seroconversion was constructed and evaluated. …”
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Unveiling the new chapter in nanobody engineering: advances in traditional construction and AI-driven optimization by Jiwei Liu, Lei Wu, Anqi Xie, Weici Liu, Zhao He, Yuan Wan, Wenjun Mao

“…AI’s exceptional performance in protein structure prediction and molecular interaction simulation has introduced novel perspectives and tools for Nb design and optimization. …”
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Simulation of Software Development Team Productivity Incorporating Social and Human Factors: A System Dynamics Model by Luz Marcela Restrepo-Tamayo, Gloria Piedad Gasca-Hurtado, Johnny Valencia-Calvo

“…By taking a systemic approach, the model introduces new ways to identify dynamic behaviors and facilitates the prediction of possible scenarios in the evolution of tasks, which helps work teams manage their risks. …”
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Evaluating empirical and machine learning approaches for reference evapotranspiration estimation using limited climatic variables in Nepal by Erica Shrestha, Suyog Poudyal, Anup Ghimire, Shrena Maharjan, Manoj Lamichhane, Sushant Mehan

“…Notably, all ML models outperformed empirical models, with clustering of weather stations further reducing prediction error in ET0 estimation by 10 to 18 %. These findings demonstrate the potential of ML models for accurate ET0 estimation with limited data, supporting agricultural water management and enhancing resilience in water-stressed areas.…”
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Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques by Luis Mariano Esteban, Ángel Borque-Fernando, Maria Etelvina Escorihuela, Javier Esteban-Escaño, Jose María Abascal, Pol Servian, Juan Morote

“…Abstract In prostate cancer (PCa), risk calculators have been proposed, relying on clinical parameters and magnetic resonance imaging (MRI) enable early prediction of clinically significant cancer (CsPCa). …”
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Distribution and clinicopathological characteristics of G-CSF expression in tumor cells and stromal cells in upper tract urothelial carcinoma by Go Kobayashi, Yohei Sekino, Hikaru Nakahara, Kohei Kobatake, Keisuke Goto, Tetsutaro Hayashi, Kazuhiro Sentani, Nobuyuki Hinata

“…A prognostic model was constructed by incorporating the presence or absence of G-CSF expression along with clinicopathologic factors, which allowed for a more accurate prediction of poor prognosis. We further showed that G-CSF expression was associated with a high Ki-67 labeling index and with PD-L1, HER2, and p53 expression in UTUC. …”
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Magnetic field influence on heat transfer of NEPCM in a porous triangular cavity with a cold fin and partial heat sources: AI analysis combined with ISPH method by Munirah Aali Alotaibi, Weaam Alhejaili, Abdelraheem M. Aly, Samiyah Almalki

“…The ANN model’s training, reflected in a decreasing mean squared error (MSE), demonstrates prediction accuracy, and regression analysis reveals high model reliability, with predictions closely aligning with theoretical Nu̅ values.…”
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Deteksi Cepat Kadar Alkohol Pada Minuman Kopi dengan Metode Dielektrik dan Jaringan Syaraf Tiruan by Sucipto Sucipto, Yuyun Rohmawati, Dyah Ayu Widyaningrum, Danang Triagus Setiyawan

“…The back propagation algorithm was used to connect the input of bioelectric properties and output of prediction of alcohol content and pH in liqueur coffee. …”
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Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction by Zhibo Wang, Xin Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang

“…An AUC of 0.861 was attained for prediction of 90-day readmission in patients aged 18-64. …”
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Advanced NGS analysis of cell-free tumor DNA supports clonal relation to primary high-grade B-cell lymphoma lesion and CNS relapse despite MRI negativity by Veronika Navrkalova, Andrea Mareckova, Jakub Porc, Samuel Hricko, Viera Hrabcakova, Jarmila Kissova, Sona Kundova, Marie Jarosova, Sarka Pospisilova, Jana Kotaskova, Andrea Janikova

“…In clinical practice, such a minimally invasive approach provides a more sensitive tool than standard imaging and cell analyzing techniques, enabling more accurate disease monitoring and relapse prediction in particular cases.…”
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Improving drug repositioning with negative data labeling using large language models by Milan Picard, Mickael Leclercq, Antoine Bodein, Marie Pier Scott-Boyer, Olivier Perin, Arnaud Droit

“…This approach showed remarkable improvement in predictive accuracy on independent test sets with a Matthews Correlation Coefficient of 0.76 (± 0.33) compared to 0.55 (± 0.15) and 0.48 (± 0.18) for two commonly used PU learning approaches. …”
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The evolving roles of geophysics in environmental assessment, monitoring, and management of landfill leachate contaminant plumes: An overview by Joseph Omeiza Alao

“…Future research should focus on developing advanced data interpretation techniques, integrating geophysical data with other environmental monitoring data, and exploring the use of artificial intelligence for automated analysis and prediction of LLP behaviour, which ultimately aiding the environmental decision-makers in addressing ecological challenges and designing/managing landfill sites.…”
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Heterogeneity analysis provides evidence for a genetically homogeneous subtype of bipolar-disorder. by Caroline C McGrouther, Aaditya V Rangan, Arianna Di Florio, Jeremy A Elman, Nicholas J Schork, John Kelsoe, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium

“…By investigating the subgroup's bicluster-informed polygenic-risk-scoring (PRS), we find that the disease-specific pattern highlighted by the bicluster can be leveraged to eliminate noise from our GWAS analyses and improve risk prediction. This improvement is particularly notable when using only a relatively small subset of the available SNPs, implying improved SNP replication. …”
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Prospective analysis of CKM element |Vcd| and D+-meson decay constant from leptonic decays D+ → ℓ+ν by Ya-Xiong Wang, Hai-Jiang Tian, Yin-Long Yang, Tao Zhong, Hai-Bing Fu

“…Furthermore, we present our prediction for the CKM matrix element |Vcd| using the branching fraction B(D+→μ+νμ) obtained from BESIII Collaboration, yielding |Vcd|=0.227−0.001+0.002.…”
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A China dataset of soil properties for land surface modelling (version 2, CSDLv2) by G. Shi, W. Sun, W. Shangguan, Z. Wei, H. Yuan, L. Li, X. Sun, Y. Zhang, H. Liang, D. Li, F. Huang, Q. Li, Q. Li, Y. Dai

“…The wide range between the 5 % lower and 95 % upper prediction limits may indicate substantial room for improvement in current predictions. …”
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Seismic microzonation studies in the Southern part of Progo River, special Region of Yogyakarta, Indonesia by Ghina Bani Azifah, Teuku Faisal Fathani, Hendy Setiawan

“…The analysis was carried out using four methods: Kanai (In: Proceeding of Japan Earthquake Engineering Symposium 1–4, 1966) equation using microtremor data, deterministic equations with Ground Motion Prediction Equations Next Generations Attenuation West 2 (GMPE NGA West 2), Kanno et al (Bull Seismol Soc Am 96:879–897, 2006) attenuation equation, and probabilistic method referring to the Indonesian Seismic code. …”
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