Phyto-stimulating Effect of Paracetamol Biodestruction Product on Calendula Officinalis by E. V. Vihareva, I. I. Mishenina, E. D. Gapechkina, A. A. Selyaninov, M. I. Rychkova

“…With the use of kinetic modeling, the values of the parameters of the growth rate of the biomass of plant raw materials during the treatment of plants with these agents were established, a forecast was made for the accumulation of flavonoids, and the timing of the collection of calendula officinalis flowers in the conditions of the Western Urals was substantiated.…”
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Establishment and preliminary application of PCR-RFLP genotyping method for Giardia duodenalis in goats by Xuanru Mu, Jianchao Guo, Hongcai Wang, Yilong Li, Kaijian Yuan, Hui Xu, Wenjing Zeng, Qiaoyu Li, Xingang Yu, Yang Hong

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Basic Models for the Development of Inclusive Education in Moscow by M. R. Husnutdinova

“…In addition, the knowledge of characteristics of each of them contributes to forecasting its possible development and adopting more effective management decisions.…”
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A genome-wide association study confirms VKORC1, CYP2C9, and CYP4F2 as principal genetic determinants of warfarin dose. by Fumihiko Takeuchi, Ralph McGinnis, Stephane Bourgeois, Chris Barnes, Niclas Eriksson, Nicole Soranzo, Pamela Whittaker, Venkatesh Ranganath, Vasudev Kumanduri, William McLaren, Lennart Holm, Jonatan Lindh, Anders Rane, Mia Wadelius, Panos Deloukas

“…These GWAS results provide further impetus for conducting large-scale trials assessing patient benefit from genotype-based forecasting of warfarin dose.…”
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Research on Fracture Energy Prediction and Size Effect of Concrete Based on Deep Learning with SHAP Interpretability Method by Huiming Wang, Weiqi Zhang, Jie Lin, Shengpin Guo

“…Moreover, owing to the complex nonlinear behavior exhibited by concrete during the fracturing process, existing empirical formulas exhibit restricted precision when forecasting fracture energy. Therefore, in order to swiftly and accurately predict the fracture energy of concrete and investigate the impact of various factors on it, this study employs a deep learning algorithm to establish the correlation between parameters and fracture energy. …”
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Potential and Transformation of Indigenous Floral Foods in Africa: What Research Tells Over the Past Two Decades (2000–2022) by Achoja Roland Onomu, Amon Taruvinga, Willie Tafadzwa Chinyamurindi

“…The study reviewed literature and collated past research to examine and forecast the developmental growth of indigenous foods for more than two decades (2000–2022). …”
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Prevalence of foodborne parasitic infections in market-sold aquatic products and high-risk populations in Shanghai, China: surveillance between 2022 and 2024 by Simin Dai, Jun Feng, Min Chen, Huanyu Wu, Yujuan Shen, Qing Yu, Jian Chen

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Intrinsic Mechanisms for High-Concentrated PMs in Southern Taiwan: Combined Effects by PBLH, LCFs and Large-Scale Subsidence by Wei-Kuo Soong, Chung-Hsuang Hung

“…Leeside-effect cases on May 26 and January 23, 2017 (summer and winter), were selected for analysis. The Weather Research and Forecasting (WRF) model was used to simulate these cases for diagnosing the combined impacts of LSS, PBLH, and LCFs on PM accumulation. …”
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Silvicultural and Ecological Characteristics of <i>Populus bolleana</i> Lauche as a Key Introduced Species in the Urban Dendroflora of Industrial Cities by Vladimir Kornienko, Valeriya Reuckaya, Alyona Shkirenko, Besarion Meskhi, Anastasiya Olshevskaya, Mary Odabashyan, Victoria Shevchenko, Svetlana Teplyakova

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Novel sequential modeling framework improves phytoplankton biomass predictions in response to multiple environmental stressors by Zhuyin Tong, Jiayu Guo, Yikai Liu, Lizhen Lin, Jixin Chen, Xin Liu, Bangqin Huang, Edward A. Laws, Wupeng Xiao

“…This study employed a sequential modeling framework integrating principal component analysis, generalized additive models, and artificial neural networks to improve predictions of phytoplankton chlorophyll a concentrations in the Taiwan Strait. …”
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HIV-1 Vpu interacts with RBM10 to promote HIV-1 infection by Boye Li, Yanzhe Hao, Xianbin Meng, Xiaoming Wang, Qingyan Li, Runqing Jia, Yishu Yang, Jinning Yang, Boyang Yu, Tian Chen, Wenmei Zhang, Xiaoguang Zhang, Xiayan Wang, Qin Hu

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Early neurological deterioration in patients with minor stroke: A single-center study conducted in Vietnam. by Dung Tien Nguyen, Ton Duy Mai, Phuong Viet Dao, Hung Tran Ha, Marco Fabus, Melanie Fleming, Minh Cong Tran

“…We conduct a logistic regression analysis to identify forecasting factors for END. Out of 839 patients, 88 (10.5%) had END. …”
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Evaluation of Estimated Glucose Disposal Rate with Neutrophil-to-Lymphocyte Ratio Integrated for Prognosticating Adverse Cardiovascular and Cerebrovascular Events and Risk Stratifi... by Feng X, Liu Y, Yang J, Zhou Z, Yang S, Zhou Y, Guo Q

“…An independent correlation between eGDR/NLR and MACCE was demonstrated by Cox regression analysis, establishing if the eGDR and NLR was treated as a continuous or categorical variable. …”
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Autopsy Results and Inorganic Fouling Prediction Modeling Using Artificial Neural Networks for Reverse Osmosis Membranes in a Desalination Plant by Siham Kherraf, Mariem Ennouhi, Abir El Mansouri, Souad El Hajjaji, Hamid Nasrellah, Meryem Bensemlali, Abdellatif Aarfane, Ayoub Cherrat, Najoua Labjar

“…This predictive model demonstrates the ability to forecast future TMP cycles based on historical data. …”
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Hearts, Data, and Artificial Intelligence Wizardry: From Imitation to Innovation in Cardiovascular Care by Panteleimon Pantelidis, Polychronis Dilaveris, Samuel Ruipérez-Campillo, Athina Goliopoulou, Alexios Giannakodimos, Panagiotis Theofilis, Raffaele De Lucia, Ourania Katsarou, Konstantinos Zisimos, Konstantinos Kalogeras, Evangelos Oikonomou, Gerasimos Siasos

“…Artificial intelligence (AI) is transforming cardiovascular medicine by enabling the analysis of high-dimensional biomedical data with unprecedented precision. …”
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Assessing Impacts of Hydropower Development on Downstream Inundation Using a Hybrid Modeling Framework Integrating Satellite Data‐Driven and Process‐Based Models by Son K. Do, Tien L. T. Du, Hyongki Lee, Chi‐Hung Chang, Duong D. Bui, Ngoc T. Nguyen, Kel N. Markert, Johan Strömqvist, Peeranan Towashiraporn, Stephen E. Darby, Linh K. Bui

“…This study proposes a novel hybrid framework integrating satellite data‐driven Forecasting Inundation Extents using REOF (Rotated Empirical Orthogonal Function) analysis (FIER), and the process‐based Hydrological Predictions for the Environment (HYPE) model incorporating the Integrated Reservoir Operation Scheme (IROS). …”
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Revolutionizing Clear-Sky Humidity Profile Retrieval with Multi-Angle-Aware Networks for Ground-Based Microwave Radiometers by Yinshan Yang, Zhanqing Li, Jianping Guo, Yuying Wang, Hao Wu, Yi Shang, Ye Wang, Langfeng Zhu, Xing Yan

“…AngleNet breakthrough performance is especially notable in consistently capturing complex RH profile features, which are critical for accurate numerical weather forecasting and climate monitoring.…”
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Next Generation Public Supply Water Withdrawal Estimation for the Conterminous United States Using Machine Learning and Operational Frameworks by Ayman Alzraiee, Richard Niswonger, Carol Luukkonen, Josh Larsen, Donald Martin, Deidre Herbert, Cheryl Buchwald, Cheryl Dieter, Lisa Miller, Jana Stewart, Natalie Houston, Scott Paulinski, Kristen Valseth

“…The developed models can forecast future public supply driven by various climate, demographic, and socioeconomic scenarios.…”
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Projecting the poleward habitat expansion of whale sharks (Rhincodon typus) in the west pacific and east Indian ocean in response to climate change by Soeon Ahn, Hyun Woo Kim, Kwang-Sik Choi, Chulhong Oh, Soo-Jin Heo, Do-Hyung Kang, Dongwha Sohn

“…The best-fitted model was hindcast (2004–2023) and forecasted for the 2050s, 2070s, and 2090s using CMIP6-based Earth System Models under three climate change scenarios. …”
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Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

“…Finally, statistical analysis was used to evaluate the robustness of the developed SWO-SRNN models. …”
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