Assessing the role of genotype by environment interaction as determinants of maize grain yield and lodging resistance by Haiwang Yue, Tiago Olivoto, Junzhou Bu, Jianwei Wei, Pengcheng Liu, Wei Wu, Maicon Nardino, Xuwen Jiang

“…Given the backdrop of global climate change, understanding which climate variables and soil properties most significantly impact environmental similarity is essential for selecting hybrids with improved adaptability to regions with diverse climatic and soil conditions. …”
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Soil data from the Barbastro-Balaguer gypsum belt, NE SpainMendeley Data by Juan Herrero, María Tierra, Carmen Castañeda

“…Also, plant physiologists are focusing on the adaptations of plants to gypsum as reviewed by Escudero et al. [12]. …”
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Streptococcus halichoeri: Comparative Genomics of an Emerging Pathogen by Kirsi Aaltonen, Ravi Kant, Marjut Eklund, Mirja Raunio-Saarnisto, Lars Paulin, Olli Vapalahti, Thomas Grönthal, Merja Rantala, Tarja Sironen

“…The results highlight the great adaptability of this bacterium possibly explaining the ease at which it switches hosts and environments. …”
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Depressive symptoms and quality of life among women experiencing infertility: The moderating effect of perceived social support by Minjeong Jo, Hyewon Shin, Angela Kabbe, Shin-Jeong Kim

“…Statistically significant effects were identified if the confidence intervals did not include zero. Depression acted as the predictor, social support as the moderator, and QoL as the dependent variable. …”
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State Judgement Model of the Coal and Rock Medium and Its Engineering Application by Chuanqi Zhu, Lei Wang, Xiangang Han

“…After it, the mudstones in the roof of the same working face were regarded as the research object, the mudstone medium state was divided into 4 types according to the medium state judgement model, namely, continuous, quasicontinuous, discontinuous, and bulk solid, and the mudstone failure state was basically consistent with the continuous, quasicontinuous, discontinuous, and bulk solid state. The adaptability and rationality of the judgement model was verified. …”
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Development and validation of an explainable machine learning prediction model of hemorrhagic transformation after intravenous thrombolysis in stroke by Yanan Lin, Yan Li, Yayin Luo, Jie Han

“…We utilized the Random Forest (RF), Multilayer Perceptron (MLP), Adaptive Boosting (AdaBoost), and Gaussian Naive Bayes (GauNB) algorithms to develop ML-HT models. …”
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Drought induced metabolic shifts and water loss mechanisms in canola: role of cysteine, phenylalanine and aspartic acid by Raed Elferjani, Shankar Pahari, Raju Soolanayakanahally, Krista Ballantyne, Eiji Nambara

“…Epicuticular waxes were found to adjust in response to drought, acting as an additional barrier against water loss. …”
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The Principal Leadership in Developing Inclusive Education for Diverse Students by Shinta Setia, Pwee Leng, Yurillah Endah Mauliate, Dian Ekowati, Dwi Ratmawati

“…Such practices can also be learned, adapted and imitated by other schools.…”
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UAV rice panicle blast detection based on enhanced feature representation and optimized attention mechanism by Shaodan Lin, Deyao Huang, Libin Wu, Zuxin Cheng, Dapeng Ye, Haiyong Weng

“…Despite these strengths, future efforts should focus on improving classification accuracy and adapting the model to diverse environmental conditions. …”
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Ekspresi PDGF-B dan SCUBE 1 pada Arteri Karotis Mencit yang Diligasi dan Tidak Diligasi by Ranti Verdiana, Hirowati Ali, Husnil Kadri

“…</p><p> </p><p>Abstract<br />Diffuse Intimal Thickening (DIT) develops as physiological adaptive process of shear stress which can be performed by carotid artery ligation in mice. …”
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Provision of dementia-specific care in nursing homes in North Rhine-Westphalia (Germany) – analysis of person-centered practices and related problems within a holistic multiple cas... by Kathrin Schmüdderich, Anne Fahsold, Jonas Dörner, Martina Roes, Rebecca Palm, Bernhard Holle

“…Furthermore, the identified context-specific differences in the extent and perception of these problems show that the designs of new care models should allow for more flexibility, so that written recommendations can be implemented in practice and adapted to given contexts.…”
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Problem-solving ability and future time perspective among the Chinese nursing interns: The mediating role of future work self. by Zhangyi Wang, Yue Zhu, Xiaoping Zhan, Tingrui Wang, Xiaochun Tang, Liping Li, Tao Su, Huifang Zhou, Li Liu, Lamei Chen, Xiaoli Pang, Jiaofeng Peng, Yan Wang, Li Yang

“…This, in turn, will facilitate their adaptation to clinical work, enhance the quality of nursing care, and promote the development of their nursing profession.…”
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Why and how should we simulate platform trials? Learnings from EU-PEARL by Elias Laurin Meyer, Tobias Mielke, Marta Bofill Roig, Michaela Maria Freitag, Peter Jacko, Pavla Krotka, Peter Mesenbrink, Tom Parke, Sonja Zehetmayer, Dario Zocholl, Franz König

“…Due to their highly adaptive nature, platform trials provide sufficient flexibility to customize important trial design aspects to the requirements of both the specific disease under investigation and the different stakeholders. …”
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A Robust VMD-Based Modified Multivariable Output Error Statespace Method for Detection of Low-Frequency Oscillations From Noisy Signals of WAMS by Dinesh Shetty, Nagesh Prabhu

“…The approach leverages the adaptability of VMD&#x2019;s decomposition alongside the precise denoising capabilities of WT, resulting in high effectiveness for signals that contain noise. …”
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Different Temporal Patterns of Specific and General Autobiographical Memories across the Lifespan in Alzheimer’s Disease by Nathalie Philippi, François Rousseau, Vincent Noblet, Anne Botzung, Olivier Després, Benjamin Cretin, Stéphane Kremer, Frédéric Blanc, Liliann Manning

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Heterogeneity of avian infectious bronchitis virus population by Ye. V. Ovchinnikova, L. O. Scherbakova, S. N. Kolosov, A. N. Andriyasova, N. G. Zinyakov, Z. B. Nikonova, A. A. Kozlov, P. B. Akshalova, D. A. Altunin, D. B. Andreychuk

“…The virus undergoes modification and adaptation inducing new genetic forms by infecting several poultry generations, due to which the heterogeneity of the virus population is ob­served not only in the poultry farm as a whole or in a separate department, but also within one organism. …”
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Mechanisms of vagus nerve stimulation for the treatment of neurodevelopmental disorders: a focus on microglia and neuroinflammation by Makenna Gargus, Benneth Ben-Azu, Benneth Ben-Azu, Antonia Landwehr, Jaclyn Dunn, Joseph P. Errico, Marie-Ève Tremblay, Marie-Ève Tremblay

“…We also discuss the potential of adapting non-invasive VNS for the prevention and treatment of these conditions. …”
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An exploration of RSM, ANN, and ANFIS models for methylene blue dye adsorption using Oryza sativa straw biomass: a comparative approach by Sheetal Kumari, Smriti Agarwal, Manish Kumar, Pinki Sharma, Ajay Kumar, Abeer Hashem, Nouf H. Alotaibi, Elsayed Fathi Abd-Allah, Manoj Chandra Garg

“…Three distinct modelling approaches were employed: artificial neural networks (ANN), adaptive neuro-fuzzy inference systems (ANFIS), and response surface methodology (RSM). …”
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Morphofunctional characteristics of leaves and fruits in Maloideae (Rosaceae): a. Microstructure of surface tissues by T. Kh. Kumachova, A. S. Voronkov, A. V. Babosha, A. S. Ryabchenko

“…They extended their area of distribution to various habitats due to the development of structural adaptations that play an important role in the formation of resistance to stressors of different etiologies.Objective. …”
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Identification of Parkinson’s disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach by Yifeng Yang, Liangyun Hu, Yang Chen, Weidong Gu, Guangwu Lin, YuanZhong Xie, Shengdong Nie

“…Two multi-modal fusion strategies were used: feature-level fusion, where we employed a hybrid feature selection algorithm combining Fisher discriminant analysis, an ensemble Lasso (EnLasso) method, and partial least squares (PLS) regression to identify and integrate the most informative features from neuroimaging and genetic data; and decision-level fusion, where we developed an adaptive ensemble stacking (AE_Stacking) model to synergistically integrate the predictions from multiple base classifiers trained on individual modalities.ResultsThe AE_Stacking model achieving the highest average balanced accuracy of 95.36% and an area under the receiver operating characteristic curve (AUC) of 0.974, significantly outperforming feature-level fusion and single-modal models (p &lt; 0.05). …”
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